Repository: gaogaotiantian/viztracer Branch: master Commit: ede823750456 Files: 164 Total size: 60.8 MB Directory structure: gitextract_o58d0in3/ ├── .coveragerc ├── .gitattributes ├── .github/ │ ├── CONTRIBUTING.md │ ├── FUNDING.yml │ └── workflows/ │ ├── docs.yml │ ├── lint.yml │ ├── python-package.yml │ ├── release.yml │ └── wheels.yml ├── .gitignore ├── .readthedocs.yml ├── CITATION.cff ├── LICENSE ├── MANIFEST.in ├── Makefile ├── NOTICE.txt ├── README.md ├── docs/ │ ├── Makefile │ ├── make.bat │ ├── requirements.txt │ └── source/ │ ├── basic_usage.rst │ ├── concurrency.rst │ ├── conf.py │ ├── contact.rst │ ├── custom_event.rst │ ├── custom_event_intro.rst │ ├── decorator.rst │ ├── extra_log.rst │ ├── filter.rst │ ├── global_tracer.rst │ ├── index.rst │ ├── installation.rst │ ├── license.rst │ ├── limitations.rst │ ├── plugins.rst │ ├── remote_attach.rst │ ├── sponsor.rst │ ├── viz_plugin.rst │ └── viztracer.rst ├── example/ │ ├── generate_examples.py │ ├── json/ │ │ ├── async_simple.json │ │ ├── different_sorts.json │ │ ├── function_args_return.json │ │ ├── gradient_descent.json │ │ ├── logging_integration.json │ │ ├── mcts_game.json │ │ ├── multi_process_pool.json │ │ └── multithread.json │ ├── requirements.txt │ └── src/ │ ├── async_simple.py │ ├── different_sorts.py │ ├── function_args_return.py │ ├── gradient_descent.py │ ├── logging_integration.py │ ├── mcts_game.py │ ├── multi_process_pool.py │ └── multithread.py ├── pyproject.toml ├── requirements-dev.txt ├── setup.py ├── src/ │ └── viztracer/ │ ├── __init__.py │ ├── __main__.py │ ├── attach.py │ ├── attach_process/ │ │ ├── LICENSE │ │ ├── README.txt │ │ ├── __init__.py │ │ ├── add_code_to_python_process.py │ │ └── linux_and_mac/ │ │ └── lldb_prepare.py │ ├── cellmagic.py │ ├── code_monkey.py │ ├── decorator.py │ ├── event_base.py │ ├── functree.py │ ├── html/ │ │ ├── LICENSE │ │ ├── README.md │ │ ├── flamegraph.html │ │ ├── trace_viewer_embedder.html │ │ └── trace_viewer_full.html │ ├── main.py │ ├── modules/ │ │ ├── eventnode.c │ │ ├── eventnode.h │ │ ├── pythoncapi_compat.h │ │ ├── quicktime.c │ │ ├── quicktime.h │ │ ├── snaptrace.c │ │ ├── snaptrace.h │ │ ├── snaptrace_member.c │ │ ├── util.c │ │ ├── util.h │ │ └── vcompressor/ │ │ ├── README.md │ │ ├── vc_dump.c │ │ ├── vc_dump.h │ │ ├── vcompressor.c │ │ └── vcompressor.h │ ├── patch.py │ ├── report_builder.py │ ├── report_server.py │ ├── snaptrace.pyi │ ├── util.py │ ├── vcompressor.pyi │ ├── viewer.py │ ├── vizcounter.py │ ├── vizevent.py │ ├── vizlogging.py │ ├── vizobject.py │ ├── vizplugin.py │ ├── viztracer.py │ └── web_dist/ │ ├── LICENSE │ ├── index.html │ ├── service_worker.js │ ├── trace_processor │ └── v52.0-6b9586def/ │ ├── assets/ │ │ ├── catapult_trace_viewer.html │ │ └── catapult_trace_viewer.js │ ├── engine_bundle.js │ ├── frontend_bundle.js │ ├── index.html │ ├── manifest.json │ ├── perfetto.css │ ├── stdlib_docs.json │ ├── trace_config_utils.wasm │ ├── trace_processor.wasm │ ├── trace_processor_memory64.wasm │ ├── traceconv.wasm │ └── traceconv_bundle.js └── tests/ ├── __init__.py ├── base_tmpl.py ├── cmdline_tmpl.py ├── data/ │ ├── fib.py │ ├── vdb_basic.py │ └── vdb_multithread.py ├── modules/ │ ├── __init__.py │ ├── dummy_vizplugin.py │ ├── dummy_vizplugin_wrong.py │ ├── issue160.py │ ├── issue58.py │ └── issue83.py ├── package_env.py ├── test_basic.py ├── test_cmdline.py ├── test_codemonkey.py ├── test_fastlog.py ├── test_functree.py ├── test_invalid.py ├── test_jupyter.py ├── test_logging.py ├── test_logsparse.py ├── test_multiprocess.py ├── test_multithread.py ├── test_patch.py ├── test_performance.py ├── test_regression.py ├── test_remote.py ├── test_report_builder.py ├── test_report_server.py ├── test_torch.py ├── test_tracer.py ├── test_util.py ├── test_vcompressor.py ├── test_viewer.py ├── test_vizcounter.py ├── test_vizevent.py ├── test_vizobject.py ├── test_vizplugin.py └── util.py ================================================ FILE CONTENTS ================================================ ================================================ FILE: .coveragerc ================================================ [run] cover_pylib = True source = viztracer patch = subprocess omit = */viztracer/attach_process/* ================================================ FILE: .gitattributes ================================================ src/viztracer/html/** linguist-vendored example/json/* linguist-generated src/viztracer/web_dist/** linguist-vendored src/viztracer/attach_process/** linguist-vendored ================================================ FILE: .github/CONTRIBUTING.md ================================================ First of all, many thanks to everyone who wants to contribute to VizTracer! ## Before Writing Code If you have any thoughts that involve more than a couple of lines of code, I highly recommend you to submit an issue first talking about the stuff you want to implement. We should have a discussion about whether we want to do it, before you put too much effort into it. ## Coding ### Implementation VizTracer requires type annotation for functions. Please do a lint check described below before you submit the code. There's no exact coding standards VizTracer follows, just try to make the code readable. ### Tests If you are implementing something new, you need to write tests for it. VizTracer is a 100% coverage project. There might be lines that can't be covered, give yourself(and me) a good reason why, and add ``pragma: no cover`` after the line to skip the line. Every new line of your code should be covered by the existing tests or your own tests. ### Docs If you implement a new feature, you also need to write docs for it for others to understand. It should definitely lives in ``docs/``, and could possibly lives in ``README.md`` as well if it's important. If you don't know where the docs belong to, ask me in the issue/PR. ## Build and Test ### Build To contribute, first fork this project under your account, then create a feature branch: ``` git clone https://github.com//viztracer.git cd viztracer git checkout -b ``` ``virtualenv``(or other package manager) is highly recommended for development. ``` python3 -m venv venv source venv/bin/activate # On Windows # .\venv\Scripts\activate ``` Install the requirements for development ``` pip install -r requirements-dev.txt ``` To build the project on Linux/MacOS, you can simply do ``make``. However, if you are on Windows or prefer more explicit build process, you can do the following: ``` # uninstall viztracer first pip uninstall -y viztracer # build and install python setup.py build install ``` ### Lint Check lint with ruff and mypy ``` # On Unix make lint # explicit or windows ruff check --fix ruff format mypy src/ --exclude src/viztracer/attach_process/ ``` ### Test VizTracer uses built-in library ``unittest`` for testing. You can do ``make test`` on Linux/MacOS, or do ``python -m unittest``. To run a specific test, refer to unittest [docs](https://docs.python.org/3/library/unittest.html) There might be a few tests that are not 100% stable on github actions. They should be listed in issues. You should, however, make sure local tests pass before doing a pull request. ## Pull Request Do a pull request to the ``master`` branch of ``gaogaotiantian/viztracer``, and I will review the code and give feedbacks as soon as possible. ================================================ FILE: .github/FUNDING.yml ================================================ github: gaogaotiantian ================================================ FILE: .github/workflows/docs.yml ================================================ name: docs on: push: branches: [ master ] paths: - "docs/**" - ".github/workflows/docs.yml" pull_request: paths: - "docs/**" - ".github/workflows/docs.yml" jobs: docs: runs-on: ubuntu-latest steps: - uses: actions/checkout@v4 - name: Set up Python uses: actions/setup-python@v5 with: python-version: "3.11" - name: Install dependency run: pip install -r docs/requirements.txt - name: Build documentation run: sphinx-build -b html docs/source/ docs/build/ ================================================ FILE: .github/workflows/lint.yml ================================================ name: lint on: push: branches: [ master ] pull_request: jobs: lint: strategy: matrix: python-version: ['3.10', '3.11', '3.12', '3.13', '3.14'] runs-on: ubuntu-latest steps: - uses: actions/checkout@v4 - name: Set up Python uses: actions/setup-python@v5 with: python-version: ${{ matrix.python-version }} - name: Install dependency run: pip install ruff mypy - name: Run ruff check run: ruff check - name: Run ruff format check run: ruff format --check - name: Run mypy run: mypy src/ --exclude src/viztracer/attach_process/ ================================================ FILE: .github/workflows/python-package.yml ================================================ # This workflow will install Python dependencies, run tests and lint with a variety of Python versions # For more information see: https://help.github.com/actions/language-and-framework-guides/using-python-with-github-actions name: build on: push: branches: [ master ] paths: - "src/viztracer/**" - "tests/**" - "setup.py" - ".github/workflows/python-package.yml" pull_request: paths: - "src/viztracer/**" - "tests/**" - "setup.py" - ".github/workflows/python-package.yml" schedule: - cron: '0 10 * * *' concurrency: group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.ref }} cancel-in-progress: true jobs: build: strategy: matrix: python-version: ['3.10', '3.11', '3.12', '3.13', '3.13t', '3.14', '3.14t'] os: [ubuntu-latest, macos-latest, macos-15-intel, windows-latest, windows-11-arm] exclude: - python-version: '3.10' os: 'windows-11-arm' - python-version: '3.11' os: 'windows-11-arm' runs-on: ${{ matrix.os }} timeout-minutes: 30 env: COREDUMPY_DUMP_DIR: ${{ github.workspace }}/coredumpy_data steps: - uses: actions/checkout@v4 with: # This is necessary to get the PR head instead of base ref: ${{ github.event.pull_request.head.sha }} - name: Set up Python ${{ matrix.python-version }} uses: actions/setup-python@v5 with: python-version: ${{ matrix.python-version }} - name: Install gdb if: matrix.os == 'ubuntu-latest' run: | sudo apt-get update sudo apt-get install gdb echo 0 | sudo tee /proc/sys/kernel/yama/ptrace_scope - name: Setup lldb if: contains(matrix.os, 'macos') uses: maxim-lobanov/setup-xcode@v1 with: xcode-version: latest-stable - name: Install dependencies run: | python -m pip install --upgrade pip pip install -r requirements-dev.txt - name: Build dist and test with pytest if: "!contains(matrix.os, 'windows')" run: | python -m build pip install dist/*.whl python -m pytest --junit-xml=./test-results.xml -o junit_family=legacy - name: Build dist and test with pytest on Windows if: contains(matrix.os, 'windows') run: | python -m build pip install (Get-ChildItem dist/*.whl) python -m pytest --junit-xml=./test-results.xml -o junit_family=legacy - name: Upload the test time artifacts uses: actions/upload-artifact@v4 with: name: test_time_trace_${{ matrix.os }}_${{ matrix.python-version }} path: test_time_trace.json retention-days: 7 - name: Upload test results if: (!cancelled()) && github.ref == 'refs/heads/master' uses: codecov/codecov-action@v5 with: report_type: 'test_results' files: test-results.xml flags: ${{ matrix.os }}-${{ matrix.python-version }} name: VizTracer Tests token: ${{ secrets.codecov_token }} - name: Generate coverage report run: | coverage run --source viztracer --parallel-mode -m pytest coverage combine coverage xml -i env: COVERAGE_RUN: True - name: Upload coverage reports to Codecov uses: codecov/codecov-action@v5 with: token: ${{ secrets.CODECOV_TOKEN }} files: coverage.xml - name: Upload coredumpy data if applicable uses: gaogaotiantian/upload-coredumpy@v0.2 if: failure() with: name: coredumpy_data_${{ matrix.os }}_${{ matrix.python-version }} path: ${{ env.COREDUMPY_DUMP_DIR }} retention-days: 7 ================================================ FILE: .github/workflows/release.yml ================================================ name: Python package build and publish on: release: types: [created] jobs: build-wheels: uses: ./.github/workflows/wheels.yml with: upload_artifacts: true deploy-wheels: needs: build-wheels runs-on: ubuntu-latest steps: - uses: actions/checkout@v4 - name: Set up Python uses: actions/setup-python@v5 with: python-version: 3.13 - name: Install dependencies run: | python -m pip install --upgrade pip pip install build twine flake8 setuptools wheel - name: Build source tar run: | python -m build - name: Download wheels uses: actions/download-artifact@v4 with: path: wheelhouse merge-multiple: true - name: Publish wheels to PyPI continue-on-error: true env: TWINE_USERNAME: ${{ secrets.PYPI_USERNAME }} TWINE_PASSWORD: ${{ secrets.PYPI_PASSWORD }} run: | twine upload --skip-existing dist/*tar* wheelhouse/*.whl ================================================ FILE: .github/workflows/wheels.yml ================================================ name: wheels on: push: branches: [ master ] paths: - "src/viztracer/**" - "setup.py" - ".github/workflows/wheels.yml" pull_request: paths: - "src/viztracer/**" - "setup.py" - ".github/workflows/wheels.yml" workflow_call: inputs: upload_artifacts: required: false type: boolean default: false jobs: build-wheels-linux: name: Build wheels on Linux for ${{ matrix.arch }} runs-on: ${{ matrix.os }} strategy: matrix: os: [ubuntu-latest] manylinux-image: [manylinux2014] arch: [auto, aarch64] steps: - uses: actions/checkout@v4 - name: Set up QEMU if: ${{ matrix.arch == 'aarch64' }} uses: docker/setup-qemu-action@v3 with: image: tonistiigi/binfmt:master - name: Set up Python uses: actions/setup-python@v5 with: python-version: 3.11 - name: Install dependencies run: | python -m pip install --upgrade pip pip install build twine setuptools wheel - name: Install cibuildwheel run: python -m pip install cibuildwheel -U - name: Build wheels run: python -m cibuildwheel --output-dir wheelhouse env: CIBW_BUILD: cp310-* cp311-* cp312-* cp313-* cp313t-* cp314-* cp314t-* CIBW_SKIP: '*musllinux*' CIBW_ARCHS: ${{ matrix.arch }} CIBW_MANYLINUX_*_IMAGE: ${{ matrix.manylinux-image }} CIBW_MANYLINUX_I686_IMAGE: ${{ matrix.manylinux-image }} CIBW_ENABLE: 'cpython-freethreading' - name: Upload wheels if: ${{ inputs.upload_artifacts || false }} uses: actions/upload-artifact@v4 with: name: wheels-${{ matrix.os }}-${{ matrix.arch }} path: wheelhouse/*.whl retention-days: 1 build-wheels-macos-windows: name: Build wheels on ${{ matrix.os }} runs-on: ${{ matrix.os }} strategy: matrix: os: [macos-latest, macos-15-intel, windows-latest, windows-11-arm] steps: - uses: actions/checkout@v4 - name: Set up Python uses: actions/setup-python@v5 with: python-version: '3.11' - name: Install dependencies run: | python -m pip install --upgrade pip pip install build twine setuptools wheel - name: Install cibuildwheel run: python -m pip install cibuildwheel -U - name: Build wheels if: contains(matrix.os, 'macos') run: python -m cibuildwheel --output-dir wheelhouse env: CIBW_BUILD: cp310-* cp311-* cp312-* cp313-* cp313t-* cp314-* cp314t-* CIBW_ENVIRONMENT_MACOS: MACOSX_DEPLOYMENT_TARGET=14 CIBW_ENABLE: 'cpython-freethreading' - name: Build wheels if: matrix.os == 'windows-11-arm' run: python -m cibuildwheel --output-dir wheelhouse env: CIBW_BUILD: cp312-* cp313-* cp313t-* cp314-* cp314t-* CIBW_ENABLE: 'cpython-freethreading' - name: Build wheels if: "!contains(matrix.os, 'macos') && matrix.os != 'windows-11-arm'" run: python -m cibuildwheel --output-dir wheelhouse env: CIBW_BUILD: cp310-* cp311-* cp312-* cp313-* cp313t-* cp314-* cp314t-* CIBW_ENABLE: 'cpython-freethreading' - name: Upload wheels if: ${{ inputs.upload_artifacts || false }} uses: actions/upload-artifact@v4 with: # Upload all wheels built in wheelhouse/* name: wheels-${{ matrix.os }} path: wheelhouse/*.whl retention-days: 1 ================================================ FILE: .gitignore ================================================ # Byte-compiled / optimized / DLL files __pycache__/ *.py[cod] *$py.class # C extensions *.so # Distribution / packaging .Python build/ develop-eggs/ dist/ downloads/ eggs/ .eggs/ lib/ lib64/ parts/ sdist/ var/ wheels/ pip-wheel-metadata/ share/python-wheels/ *.egg-info/ .installed.cfg *.egg MANIFEST # PyInstaller # Usually these files are written by a python script from a template # before PyInstaller builds the exe, so as to inject date/other infos into it. *.manifest *.spec # Installer logs pip-log.txt pip-delete-this-directory.txt # Unit test / coverage reports htmlcov/ .tox/ .nox/ .coverage .coverage.* .cache nosetests.xml coverage.xml *.cover *.py,cover .hypothesis/ .pytest_cache/ # Translations *.mo *.pot # Django stuff: *.log local_settings.py db.sqlite3 db.sqlite3-journal # Flask stuff: instance/ .webassets-cache # Scrapy stuff: .scrapy # Sphinx documentation docs/_build/ # PyBuilder target/ # Jupyter Notebook .ipynb_checkpoints # IPython profile_default/ ipython_config.py # pyenv .python-version # pipenv # According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control. # However, in case of collaboration, if having platform-specific dependencies or dependencies # having no cross-platform support, pipenv may install dependencies that don't work, or not # install all needed dependencies. #Pipfile.lock # PEP 582; used by e.g. github.com/David-OConnor/pyflow __pypackages__/ # Celery stuff celerybeat-schedule celerybeat.pid # SageMath parsed files *.sage.py # Environments .env .venv env/ venv/ ENV/ env.bak/ venv.bak/ # Spyder project settings .spyderproject .spyproject # Rope project settings .ropeproject # mkdocs documentation /site # mypy .mypy_cache/ .dmypy.json dmypy.json # Pyre type checker .pyre/ # Generated data tests/data/*.json ================================================ FILE: .readthedocs.yml ================================================ # .readthedocs.yml # Read the Docs configuration file # See https://docs.readthedocs.io/en/stable/config-file/v2.html for details # Required version: 2 # Set the version of Python and other tools you might need build: os: ubuntu-22.04 tools: python: "3.11" # Build documentation in the docs/ directory with Sphinx sphinx: configuration: docs/source/conf.py # Build documentation with MkDocs #mkdocs: # configuration: mkdocs.yml # Enable pdf download on readthedocs formats: - pdf # Optionally set the version of Python and requirements required to build your docs python: install: - requirements: docs/requirements.txt ================================================ FILE: CITATION.cff ================================================ cff-version: 1.2.0 title: >- VizTracer - A debugging and profiling tool that can trace and visualize python code execution message: >- If you use this software, please cite it using the metadata from this file. type: software authors: - given-names: Tian family-names: Gao email: gaogaotiantian@hotmail.com orcid: 'https://orcid.org/0009-0006-9702-7067' repository-code: 'https://github.com/gaogaotiantian/viztracer' license: Apache-2.0 ================================================ FILE: LICENSE ================================================ Apache License Version 2.0, January 2004 http://www.apache.org/licenses/ TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION 1. 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We also recommend that a file or class name and description of purpose be included on the same "printed page" as the copyright notice for easier identification within third-party archives. Copyright [yyyy] [name of copyright owner] Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. ======================================================================== VizTracer Subcomponents: VizTracer contains subcomponents with separate copyright notices and license terms. Your use of the source code for these subcomponents is also subject to the terms and conditions of the following licenses. BSD-3-Clause (src/viztracer/html/LICENSE): src/viztracer/html/trace_viewer_*.html Apache License V2 (src/viztracer/web_dist/LICENSE): src/viztracer/web_dist/* Eclipse Public License v1.0 (src/viztracer/attach_process/LICENSE) src/viztracer/attach_process/* ================================================ FILE: MANIFEST.in ================================================ include LICENSE include NOTICE.txt include README.md include setup.py recursive-include src/viztracer/html *.css *.js recursive-include src/viztracer/modules *.c *.h recursive-include src/viztracer/web_dist * recursive-include src/viztracer/attach_process *.py ================================================ FILE: Makefile ================================================ .PHONY: refresh build install build_dist json release lint test clean refresh: clean build install lint build: python -m build install: pip install . build_dist: make clean python -m build pip install dist/*.whl make test json: python example/generate_examples.py release: python -m twine upload dist/* lint: ruff check --fix ruff format mypy src/ --exclude 'src/viztracer/attach_process/.*' test: python -m pytest clean: rm -rf __pycache__ rm -rf tests/__pycache__ rm -rf src/viztracer/__pycache__ rm -rf build rm -rf dist rm -rf viztracer.egg-info rm -rf src/viztracer.egg-info pip uninstall -y viztracer ================================================ FILE: NOTICE.txt ================================================ VizTracer Copyright 2020-2025 Tian Gao Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. This project contains code from the following projects: Catapult (https://github.com/catapult-project/catapult) Copyright (c) 2012 The Chromium Authors. All rights reserved. - src/viztracer/html/trace_viewer_*.html Perfetto (https://github.com/google/perfetto) Copyright (c) 2017, The Android Open Source Project - src/viztracer/web_dist/* PyDev.Debugger (https://github.com/fabioz/PyDev.Debugger) - src/viztracer/attach_process/* ================================================ FILE: README.md ================================================ # VizTracer [![build](https://github.com/gaogaotiantian/viztracer/workflows/build/badge.svg)](https://github.com/gaogaotiantian/viztracer/actions?query=workflow%3Abuild) [![ruff](https://github.com/gaogaotiantian/viztracer/workflows/lint/badge.svg)](https://github.com/gaogaotiantian/viztracer/actions?query=workflow%3ALint) [![readthedocs](https://img.shields.io/readthedocs/viztracer)](https://viztracer.readthedocs.io/en/stable/) [![coverage](https://img.shields.io/codecov/c/github/gaogaotiantian/viztracer)](https://codecov.io/gh/gaogaotiantian/viztracer) [![pypi](https://img.shields.io/pypi/v/viztracer.svg)](https://pypi.org/project/viztracer/) [![Visual Studio Marketplace Version](https://img.shields.io/visual-studio-marketplace/v/gaogaotiantian.viztracer-vscode?logo=visual-studio)](https://marketplace.visualstudio.com/items?itemName=gaogaotiantian.viztracer-vscode) [![support-version](https://img.shields.io/pypi/pyversions/viztracer)](https://img.shields.io/pypi/pyversions/viztracer) [![license](https://img.shields.io/github/license/gaogaotiantian/viztracer)](https://github.com/gaogaotiantian/viztracer/blob/master/LICENSE) [![commit](https://img.shields.io/github/last-commit/gaogaotiantian/viztracer)](https://github.com/gaogaotiantian/viztracer/commits/master) [![sponsor](https://img.shields.io/badge/%E2%9D%A4-Sponsor%20me-%23c96198?style=flat&logo=GitHub)](https://github.com/sponsors/gaogaotiantian) VizTracer is a low-overhead logging/debugging/profiling tool that can trace and visualize your python code execution. The front-end UI is powered by [Perfetto](https://perfetto.dev/). **Use "AWSD" to zoom/navigate**. More help can be found in "Support - Controls". [![example_img](https://github.com/gaogaotiantian/viztracer/blob/master/img/example.png)](https://github.com/gaogaotiantian/viztracer/blob/master/img/example.png) ## Highlights * Detailed function entry/exit information on timeline with source code * Super easy to use, no source code change for most features, no package dependency * Low overhead, probably the fastest tracer in the market * Supports threading, multiprocessing, subprocess, async and PyTorch * Powerful front-end, able to render GB-level trace smoothly * Works on Linux/MacOS/Windows ## Install The preferred way to install VizTracer is via pip ```sh pip install viztracer ``` ## Basic Usage ### Command Line ```sh # Instead of "python3 my_script.py arg1 arg2" viztracer my_script.py arg1 arg2 ```
A result.json file will be generated, which you can open with vizviewer ```sh # You can display all the files in a directory and open them in browser too vizviewer ./ # For very large trace files, try external trace processor vizviewer --use_external_processor result.json ``` vizviewer will host an HTTP server on ``http://localhost:9001``. You can also open your browser and use that address. If you do not want vizviewer to open the webbrowser automatically, you can use ```sh vizviewer --server_only result.json ``` If you just need to bring up the trace report once, and do not want the persistent server, use ```sh vizviewer --once result.json ```
```sh vizviewer result.json ``` A [VS Code Extension](https://marketplace.visualstudio.com/items?itemName=gaogaotiantian.viztracer-vscode) is available to make your life even easier.

Add --open to open the reports right after tracing ```sh viztracer --open my_script.py arg1 arg2 viztracer -o result.html --open my_script.py arg1 arg2 ```
modules and console scripts(like flask) are supported as well ```sh viztracer -m your_module ``` ```sh viztracer flask run ```
### Inline You can also manually start/stop VizTracer in your script as well. ```python from viztracer import VizTracer tracer = VizTracer() tracer.start() # Something happens here tracer.stop() tracer.save() # also takes output_file as an optional argument ``` Or, you can do it with ```with``` statement ```python with VizTracer(output_file="optional.json") as tracer: # Something happens here ``` ### Jupyter If you are using Jupyter, you can use viztracer cell magics. ```python # You need to load the extension first %load_ext viztracer ``` ```python %%viztracer # Your code after ``` A ``VizTracer Report`` button will appear after the cell and you can click it to view the results ### PyTorch VizTracer can log native calls and GPU events of PyTorch (based on `torch.profiler`) with ``--log_torch``. ```python with VizTracer(log_torch=True) as tracer: # Your torch code ``` ```sh viztracer --log_torch your_model.py ``` ## Advanced Usage ### Trace Filter VizTracer can filter out the data you don't want to reduce overhead and keep info of a longer time period before you dump the log. * [Min Duration](https://viztracer.readthedocs.io/en/stable/filter.html#min-duration) * [Max Stack Depth](https://viztracer.readthedocs.io/en/stable/filter.html#max-stack-depth) * [Include Files](https://viztracer.readthedocs.io/en/stable/filter.html#include-files) * [Exclude Files](https://viztracer.readthedocs.io/en/stable/filter.html#exclude-files) * [Ignore C Function](https://viztracer.readthedocs.io/en/stable/filter.html#ignore-c-function) * [Sparse Log](https://viztracer.readthedocs.io/en/stable/filter.html#log-sparse) ### Extra Logs without Code Change VizTracer can log extra information without changing your source code * [Any Variable/Attribute with RegEx](https://viztracer.readthedocs.io/en/stable/extra_log.html#log-variable) * [Function Entry](https://viztracer.readthedocs.io/en/stable/extra_log.html#log-function-entry) * [Variables in Specified Function](https://viztracer.readthedocs.io/en/stable/extra_log.html#log-function-execution) * [Garbage Collector Operation](https://viztracer.readthedocs.io/en/stable/extra_log.html#log-garbage-collector) * [Function Input Arguments](https://viztracer.readthedocs.io/en/stable/extra_log.html#log-function-arguments) * [Function Return Value](https://viztracer.readthedocs.io/en/stable/extra_log.html#log-function-return-value) * [Audit Events](https://viztracer.readthedocs.io/en/stable/extra_log.html#log-audit) * [Raised Exceptions](https://viztracer.readthedocs.io/en/stable/extra_log.html#log-exception) ### Add Custom Event VizTracer supports inserting custom events while the program is running. This works like a print debug, but you can know when this print happens while looking at trace data. * [Instant Event](https://viztracer.readthedocs.io/en/stable/custom_event_intro.html#instant-event) * [Variable Event](https://viztracer.readthedocs.io/en/stable/custom_event_intro.html#variable-event) * [Duration Event](https://viztracer.readthedocs.io/en/stable/custom_event_intro.html#duration-event) ## Misc ### Multi Thread Support For Python3.12+, VizTracer supports Python-level multi-thread tracing without the need to do any modification to your code. For versions before 3.12, VizTracer supports python native ```threading``` module. Just start ```VizTracer``` before you create threads and it will just work. For other multi-thread scenarios, you can use ``enable_thread_tracing()`` to notice VizTracer about the thread to trace it. [![example_img](https://github.com/gaogaotiantian/viztracer/blob/master/img/multithread_example.png)](https://github.com/gaogaotiantian/viztracer/blob/master/img/multithread_example.png) Refer to [multi thread docs](https://viztracer.readthedocs.io/en/stable/concurrency.html) for details ### Multi Process Support VizTracer supports ```subprocess```, ```multiprocessing```, ```os.fork()```, ```concurrent.futures```, and ```loky``` out of the box. For more general multi-process cases, VizTracer can support with some extra steps. [![example_img](https://github.com/gaogaotiantian/viztracer/blob/master/img/multiprocess_example.png)](https://github.com/gaogaotiantian/viztracer/blob/master/img/multiprocess_example.png) Refer to [multi process docs](https://viztracer.readthedocs.io/en/stable/concurrency.html) for details ### Async Support VizTracer supports ```asyncio``` natively, but could enhance the report by using ```--log_async```. [![example_img](https://github.com/gaogaotiantian/viztracer/blob/master/img/async_example.png)](https://github.com/gaogaotiantian/viztracer/blob/master/img/async_example.png) Refer to [async docs](https://viztracer.readthedocs.io/en/stable/concurrency.html) for details ### Flamegraph Perfetto supports native flamegraph, just select slices on the UI and choose "Slice Flamegraph". [![example_img](https://github.com/gaogaotiantian/viztracer/blob/master/img/flamegraph.png)](https://github.com/gaogaotiantian/viztracer/blob/master/img/flamegraph.png) ### Remote attach VizTracer supports remote attach to an arbitrary Python process to trace it, as long as viztracer is importable Refer to [remote attach docs](https://viztracer.readthedocs.io/en/stable/remote_attach.html) ### JSON alternative VizTracer needs to dump the internal data to json format. It is recommended for the users to install ```orjson```, which is much faster than the builtin ```json``` library. VizTracer will try to import ```orjson``` and fall back to the builtin ```json``` library if ```orjson``` does not exist. ## Performance VizTracer puts in a lot of effort to achieve low overhead. The actual performance impact largely depends on your application. For typical codebases, the overhead is expected to be below 1x. If your code has infrequent function calls, the overhead could be minimal.
Detailed explanation The overhead introduced by VizTracer is basically a fixed amount of time during function entry and exit, so the more time spent on function entries and exits, the more overhead will be observed. A pure recursive ```fib``` function could suffer 3x-4x overhead on Python3.11+ (when the Python call is optimized, before that Python call was slower so the overhead ratio would be less). In the real life scenario, your code should not spend too much time on function calls (they don't really do anything useful), so the overhead would be much smaller. Many techniques are applied to minimize the overall overhead during code execution to reduce the inevitable skew introduced by VizTracer (the report saving part is not as critical). For example, VizTracer tries to use the CPU timestamp counter instead of a syscall to get the time when available. On Python 3.12+, VizTracer uses ```sys.monitoring``` which has less overhead than ```sys.setprofile```. All of the efforts made it observably faster than ```cProfile```, the Python stdlib profiler. However, VizTracer is a tracer, which means it has to record every single function entry and exit, so it can't be as fast as the sampling profilers - they are not the same thing. With the extra overhead, VizTracer provides a lot more information than normal sampling profilers.
## Sponsors We thank our sponsors to support VizTracer. If you want your logo here, check our [sponsor page](https://github.com/sponsors/gaogaotiantian) or contact the [author](https://github.com/gaogaotiantian) directly. ## Documentation For full documentation, please see [https://viztracer.readthedocs.io/en/stable](https://viztracer.readthedocs.io/en/stable) ## Bugs/Requests Please send bug reports and feature requests through [github issue tracker](https://github.com/gaogaotiantian/viztracer/issues). VizTracer is currently under development now and it's open to any constructive suggestions. ## License Copyright 2020-2025 Tian Gao. Distributed under the terms of the [Apache 2.0 license](https://github.com/gaogaotiantian/viztracer/blob/master/LICENSE). ================================================ FILE: docs/Makefile ================================================ # Minimal makefile for Sphinx documentation # # You can set these variables from the command line, and also # from the environment for the first two. SPHINXOPTS ?= SPHINXBUILD ?= sphinx-build SOURCEDIR = source BUILDDIR = build # Put it first so that "make" without argument is like "make help". help: @$(SPHINXBUILD) -M help "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O) .PHONY: help Makefile # Catch-all target: route all unknown targets to Sphinx using the new # "make mode" option. $(O) is meant as a shortcut for $(SPHINXOPTS). %: Makefile @$(SPHINXBUILD) -M $@ "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O) ================================================ FILE: docs/make.bat ================================================ @ECHO OFF pushd %~dp0 REM Command file for Sphinx documentation if "%SPHINXBUILD%" == "" ( set SPHINXBUILD=sphinx-build ) set SOURCEDIR=source set BUILDDIR=build if "%1" == "" goto help %SPHINXBUILD% >NUL 2>NUL if errorlevel 9009 ( echo. echo.The 'sphinx-build' command was not found. Make sure you have Sphinx echo.installed, then set the SPHINXBUILD environment variable to point echo.to the full path of the 'sphinx-build' executable. Alternatively you echo.may add the Sphinx directory to PATH. echo. echo.If you don't have Sphinx installed, grab it from echo.http://sphinx-doc.org/ exit /b 1 ) %SPHINXBUILD% -M %1 %SOURCEDIR% %BUILDDIR% %SPHINXOPTS% %O% goto end :help %SPHINXBUILD% -M help %SOURCEDIR% %BUILDDIR% %SPHINXOPTS% %O% :end popd ================================================ FILE: docs/requirements.txt ================================================ Sphinx==7.2.6 sphinx-rtd-theme==1.3.0 ================================================ FILE: docs/source/basic_usage.rst ================================================ Basic Usage =========== Command Line ------------ The easiest way to use VizTracer is through command line. Assume you have a python script to profile and the normal way to run it is: .. code-block:: python3 my_script.py You can simply use VizTracer by .. code-block:: # These two commands are equivalent. # In this docs, they might both be used, but you can choose either one that you prefer. viztracer my_script.py # OR python3 -m viztracer my_script.py which will generate a ``result.json`` file in the directory you run this command. You can open it with ``vizviewer`` .. code-block:: vizviewer result.json If your script needs arguments like .. code-block:: python3 my_script.py arg1 arg2 Just feed it as it is to ``viztracer`` .. code-block:: viztracer my_script.py arg1 arg2 It's possible that there's a conflict or an ambiguity. ``viztracer`` takes ``--`` as a separator between arguments to ``viztracer`` and positional arguments to your script. .. code-block:: viztracer -o result.json -- my_script.py -o output_for_my_script.json You can also run a module with VizTracer .. code-block:: viztracer -m your_module You can specify the output file using ``-o`` or ``--output_file`` argument. The default output file is ``result.json``. Three types of files are supported, html, json and gz(gzip of json file). .. code-block:: viztracer -o other_name.html my_script.py viztracer -o other_name.json my_script.py viztracer -o other_name.json.gz my_script.py You can make viztracer to generate a unique name for the output file by using ``-u`` or ``--unique_output_file`` .. code-block:: viztracer -u my_script.py viztracer --output_dir ./my_reports -u my_script.py Inline ------ Sometimes the command line may not work as you expected, or you do not want to profile the whole script. You can manually start/stop the profiling in your script as well. First of all, you need to import ``VizTracer`` class from the package .. code-block:: python from viztracer import VizTracer You can trace code with the ``with`` statement .. code-block:: python with VizTracer(output_file="optional.json") as tracer: # Something happens here Or you can create a ``VizTracer`` object and manually enable/disable the profile using ``start()`` and ``stop()`` function. .. code-block:: python tracer = VizTracer() tracer.start() # Something happens here tracer.stop() tracer.save() # also takes output_file as an optional argument Jupyter ------- If you are using Jupyter, you can use viztracer cell magics. .. code-block:: python # You need to load the extension first %load_ext viztracer .. code-block:: python %%viztracer # Your code after .. code-block:: python # you can define arguments of VizTracer in magic %%viztracer -p 8888 # Your code after A ``Show VizTracer Report`` button will appear after the cell and you can click it to view the results. Cell magic ``%%viztracer`` supports some of the command line arguments: * ``--port`` * ``--output_file`` * ``--max_stack_depth`` * ``--ignore_c_function`` * ``--ignore_frozen`` * ``--log_func_args`` * ``--log_print`` * ``--log_sparse`` PyTorch ------- VizTracer can log native calls and GPU events of PyTorch (based on ``torch.profiler``) with ``--log_torch``. .. code-block:: python with VizTracer(log_torch=True) as tracer: # Your torch code .. code-block:: viztracer --log_torch your_model.py Display Report -------------- VizTracer will generate a ``result.json`` by default, which could be opened with ``vizviewer`` .. code-block:: vizviewer result.json You can also display all the files in a directory and open the reports in browser too. This is helpful when you have many files in one directory and want to check some or all of them. This could also be used when you have a report directory where reports are frequently added. You can leave ``vizviewer`` in the background and browse your reports with pure browser. .. code-block:: vizviewer your_directory/ ``vizviewer`` will bring up webbrowser and open the report by default. You can disable this feature and only host an HTTP server on ``localhost:9001``, which you can access through your browser .. code-block:: vizviewer --server_only result.json If you do not want to host the HTTP server forever, you can use ``--once`` so the server will shut down after serving the trace file .. code-block:: vizviewer --once result.json You can serve your HTTP server on a different port with ``--port`` or its equivalent ``-p`` .. code-block:: vizviewer --port 10000 result.json You can use the external trace processor with ``--use_external_processor``, which does not have the RAM limits as the browser. This is helpful when you try to open a large trace file. .. code-block:: vizviewer --use_external_processor result.json ``vizviewer`` can also show standalone html report - it just host a simple HTTP server for the file .. code-block:: vizviewer result.html Or, you can use ``--open`` for ``viztracer``, it will then open the report after it generates it .. code-block:: viztracer --open my_script.py viztracer -o result.html --open my_script.py Circular Buffer Size -------------------- VizTracer uses a circular buffer to store the entries. When there are too many entries, it will only store the latest ones so you know what happened recently. The default buffer size is 1,000,000(number of entries), which takes about 150MiB disk space. You can specify this when you instantiate a ``VizTracer`` object or through CLI. .. code-block:: python viztracer --tracer_entries 500000 my_script.py OR .. code-block:: python tracer = VizTracer(tracer_entries=500000) Notice it also takes a significant amount of RAM when VizTracer is tracing the program. VizTracer will preallocate about ``tracer_entries * 100B`` RAM for circular buffer. It also requires about ``1-2MB`` per 10k entries to dump the json file. Configuration file ------------------ You can use a configuration file to set the default options for ``viztracer``, which could help you avoid typing the same arguments for multiple runs. The default filename for ``viztracer`` configuration file is ``.viztracerrc``. `viztracer` will try to find ``.viztracerrc`` in current working directory. You can also specify your own configuration file with ``viztracer --rcfile ``. The format of the configuration file is very similar to ``ini`` file, which could be parsed by built in ``configparser``. .. code-block:: [default] log_var = a.* latest ignore_c_function = True output_file = vizreport.json max_stack_depth = 10 ``[default]`` can't be omitted and all the arguments should be in a key-value pair format, where the key is the argument name(without ``--``) and the val is the value you need to pass in. Please notice that there are some arguments in ``viztracer`` that do not take parameters(like `--ignore_c_function``), you need to pass ``True`` in the config file to make the config parser happy. If you need to pass multiple parameters to an argument(like ``log_var``), just use space to separate the parameters like you do in cmdline interface. Combine Reports --------------- VizTracer can put multiple json reports together and generate a new trace file. This is especially helpful when you have multiple trace generators, for example, running multiple processes with VizTracer. As VizTracer uses Monotonic Clock, you can save reports with different VizTracer instances without worrying about timestamp alignment issue. You can even generate your own data and combine with VizTracer reports, like VizPlugins does. .. code-block:: viztracer --combine process1.json process2.json -o full_report.json Another usage of combining reports would be to compare between different runs of the same program. Unlike combining from multiple sources, this requires a pre-alignment of all the trace data. VizTracer also provides a way to align the start of all reports for this usage. .. code-block:: viztracer --align_combine run1.json run2.json -o compare_report.json You can also set a sync-marker from your source code, and VizTracer will align both reports to this particular timestamp. .. code-block:: from viztracer import get_tracer get_tracer().set_sync_marker() Compress Your Report -------------------- VizTracer supports compressing your json report. The general compression ratio is about 50:1 to 100:1 for a large report. You can compress your report with ``--compress``. .. code-block:: viztracer --compress result.json -o result.cvf You can also decompress your report with ``--decompress`` .. code-block:: viztracer --decompress result.cvf -o result.json ================================================ FILE: docs/source/concurrency.rst ================================================ Concurrency =========== VizTracer supports concurrency tracing, including asyncio, multi-thread and multi-process. asyncio ------- VizTracer supports ``asyncio`` module natively. However, you can use ``--log_async`` to make the report clearer. Under the rug, asyncio is a single-thread program that's scheduled by Python built-ins. With ``--log_async``, you can visualize different tasks as "threads", which could separate the real work from the underlying structure, and give you a more intuitive understanding of how different tasks consume the runtime. .. code-block:: viztracer --log_async my_script.py Multi Thread ------------ For python3.12+, VizTracer supports all Python level multi-thread. You don't need to do anything. For versions before 3.12, VizTracer supports python native ``threading`` module without the need to do any modification to your code. Just start ``VizTracer`` before you create threads and it will just work. If you are using multi-thread via other mechanism, for example, PyQt thread, VizTracer can't support it out of the box. However, you can inform VizTracer that you are in a separate thread and enable tracing in that thread with ``enable_thread_tracing`` .. code-block:: python from viztracer import get_tracer class YourThread: def run(self): # This will tell VizTracer to trace the thread get_tracer().enable_thread_tracing() subprocess ---------- VizTracer supports ``subprocess``. You need to make sure the main process exits after subprocesses finish. .. code-block:: viztracer my_script_using_subprocess.py This will generate a report for all processes. There are a couple of things you need to be aware though. VizTracer patches subprocess module(to be more specific, ``subprocess.Popen``) to make this work like a magic. However, it will only patch when the args passed to ``subprocess.Popen`` is a list(``subprocess.Popen(["python", "subscript.py"])``) and the first argument starts with ``python``. This covers most of the cases, but if you do have a situation that can't be solved, you can raise an issue and we can talk about solutions. multiprocessing and concurrent.futures -------------------------------------- VizTracer supports ``multiprocessing`` and ``concurrent.futures``, and it will make the main process wait for all the other processes to finish so the report can include all processes. You can skip the waiting using Ctrl+C. .. code-block:: viztracer my_script_using_multiprocess.py This feature is available on all platforms and for both ``fork`` and ``spawn`` type ``Process``. However, on Windows, ``multiprocessing.Pool`` won't work with VizTracer because there's no way to gracefully catch the exit of the process os.fork() --------- VizTracer supports ``os.fork``. The main process will wait for forked processes to finish. You can even use ``os.exec()`` and its other forms after you fork the process. Of course VizTracer only records what happens before ``os.exec()``, you need :ref:`generic multi process support ` to record what happens after. loky ---- VizTracer supports ``loky>=3.0.0`` as ``loky`` implemented the ``viztracer`` initializer. You can log ``loky`` processes just as easy as builtin ``multiprocessing`` .. _generic_multi_process: generic multi process support ----------------------------- VizTracer has a simple instrumentation for all the third party libraries to integrate VizTracer to their multi process code. First, your main process has to be executed by ``viztracer``. Inline VizTracer won't work. In your program, you need ``get_tracer().init_kwargs``, which is a ``Dict`` that can be easily serializable with ``pickle`` or other libraries. Then, pass this argument to your sub-process, and instantiate a VizTracer object with it .. code-block:: python # init_kwargs is the argument from main process tracer = VizTracer(**init_kwargs) tracer.register_exit() tracer.start() And you are good to go. The main process should collect the data from sub-processes automatically and put together a report. combine reports --------------- You can generate json reports from different processes and combine them manually as well. It is recommended to use ``--pid_suffix`` so the report will be saved as a json file ending with the pid of the process. You can specify your own file name using ``-o`` too. .. code-block:: viztracer --pid_suffix single_process.py # or viztracer -o process1.json single_process.py You can specify the output directory if you want to .. code-block:: viztracer --pid_suffix --output_dir ./temp_dir single_process.py After generating ``json`` files, you need to combine them .. code-block:: viztracer --combine ./temp_dir/*.json This will generate the report with all the process info. You can specify ``--output_file`` when using ``--combine``. ================================================ FILE: docs/source/conf.py ================================================ # Configuration file for the Sphinx documentation builder. # # This file only contains a selection of the most common options. For a full # list see the documentation: # https://www.sphinx-doc.org/en/master/usage/configuration.html # -- Path setup -------------------------------------------------------------- # If extensions (or modules to document with autodoc) are in another directory, # add these directories to sys.path here. If the directory is relative to the # documentation root, use os.path.abspath to make it absolute, like shown here. # import os import sphinx_rtd_theme # noqa: F401 # import sys # sys.path.insert(0, os.path.abspath('.')) # -- Project information ----------------------------------------------------- project = "VizTracer" copyright = "2020-2024, Tian Gao" author = "Tian Gao" # The full version, including alpha/beta/rc tags release = "unknown" init_path = os.path.join( os.path.dirname(__file__), "..", "..", "src", "viztracer", "__init__.py" ) with open(init_path) as f: for line in f.readlines(): if line.startswith("__version__"): # __version__ = "0.9" delim = '"' if '"' in line else "'" release = line.split(delim)[1] break # -- General configuration --------------------------------------------------- # Add any Sphinx extension module names here, as strings. They can be # extensions coming with Sphinx (named 'sphinx.ext.*') or your custom # ones. extensions = ["sphinx_rtd_theme"] # Add any paths that contain templates here, relative to this directory. templates_path = ["_templates"] # List of patterns, relative to source directory, that match files and # directories to ignore when looking for source files. # This pattern also affects html_static_path and html_extra_path. exclude_patterns = [] # -- Options for HTML output ------------------------------------------------- # The theme to use for HTML and HTML Help pages. See the documentation for # a list of builtin themes. # html_theme = "sphinx_rtd_theme" # Add any paths that contain custom static files (such as style sheets) here, # relative to this directory. They are copied after the builtin static files, # so a file named "default.css" will overwrite the builtin "default.css". html_static_path = [] ================================================ FILE: docs/source/contact.rst ================================================ Contact Us ========== If you have any questions, bug reports or feature requests, please go to `github issue `_ ================================================ FILE: docs/source/custom_event.rst ================================================ Custom Event ============ ``_EventBase`` is the base class of ``VizCounter`` and ``VizObject``. It should never be used directly. .. py:class:: _EventBase(tracer,\ name=None,\ trigger_on_change=True\ include_attributes=[]\ exclude_attributes=[]) .. py:attribute:: tracer :type: VizTracer an object of ``VizTracer`` ``tracer`` can be set to ``None`` so the logging operation will be ``NOP``. Your program will run normally with the instrumented code even when you are not using viztracer. .. py:attribute:: name :type: string :value: None name of the event which will show on trace viewer. If not specified, class name will be used .. py:attribute:: trigger_on_change :type: boolean :value: True whether to trigger log every time a public attribute is changed .. py:attribute:: include_attributes :type: list of string :value: [] a list of attributes that will trigger the log and be included in the report. If not empty, ``_EventBase`` will behave like whitelist .. py:attribute:: exclude_attributes :type: list of string :value: [] a list of attributes that will not trigger the log and not be included in the report. If not empty, ``_EventBase`` will behave like blacklist .. py:method:: log() .. py:method:: _viztracer_log() manually log the current attributes .. py:method:: config() .. py:method:: _viztracer_set_config(key, value) :param str key: ``"trigger_on_change"``, ``"include_attributes"`` or ``"exclude_attribtues"`` :param value: the value you want to set on corresponding config .. py:decoratormethod:: triggerlog(when="after") :param str when: ``"after"``, ``"before"`` or ``"both"`` to specify when the ``log()`` function is called ``triggerlog`` is a decorator for class methods to do auto-log when the method is called. .. py:class:: VizCounter(_EventBase) ``VizCounter`` should be used to track a numeric variable through time. You can track CPU usage, memory usage, or any numeric variable you are interested in using ``VizCounter`` .. code-block:: python from viztracer import VizTracer from viztracer.vizcounter import VizCounter tracer = VizTracer() tracer.start() counter = VizCounter(tracer, "counter name") Because ``VizCounter`` has ``trigger_on_change`` on by default, any writes to its public attributes(does not start with ``_``) will be automatically logged .. code-block:: python counter.a = 2 counter.b = 1.2 You can turn ``trigger_on_change`` off and manually decide when to log .. code-block:: python counter = VizCounter(tracer, "counter name", trigger_on_change=False) # OR counter = VizCounter(tracer, "counter name") counter.config("trigger_on_change", False) .. code-block:: python counter.a = 1 counter.b = 1 # Until here, nothing happens counter.log() # trigger the log .. py:class:: VizObject(_EventBase) ``VizObject`` is almost exactly the same as ``VizCounter``, with the exception that ``VizObject`` can log jsonifiable objects(``dict``, ``list``, ``string``, ``int``, ``float``) Inheritance ----------- In practice, you can inherit from ``VizCounter`` or ``VizObject`` class and build your own class so it will be much easier to track the data in your class. Remember you need to do ``__init__`` function of the base class! If your class has a lot of attributes and they are frequently being written to, it is wise to turn off ``trigger_on_change`` .. code-block:: python class MyClass(VizObject): def __init__(self, tracer): super().__init__(tracer, "my name", trigger_on_change=False) You can manually do log by .. code-block:: python obj = MyClass(tracer) obj.log() or you can decorate your class method with ``triggerlog`` to trigger log on function call .. code-block:: python class MyClass(VizObject): @VizObject.triggerlog def log_on_this_function(): #function ================================================ FILE: docs/source/custom_event_intro.rst ================================================ Custom Events ============= You may want to insert custom events to the report while you are tracing the program. VizTracer supports three kinds of custom events: * Instant Event * Variable Event * Duration Event Instant Event ------------- Instant Event is a log at a specific timestamp, showing as an arrow. It's useful to log a transient event. You need to give it a ``name`` which is a string, and an argument ``args``. They will be displayed in the report ``args`` has to be a jsonifiable object, normally a string, or a combination of dict, list, string and number. ``scope`` can be set to ``t`` (default), ``p`` or ``g``, for thread, process and global. .. code-block:: python tracer.log_instant(f"Event1", args=args, scope="p") Variable Event -------------- Variable Event is a way to log a specific variable in your program and display it in the report. If the variable you log is a number, VizTracer will use a counter event to display it, otherwise instant event will be used. A ``name`` should be given for the variable, then the variable itself .. code-block:: python trace.log_var("name for the var", var) Magic Comment ------------- You can use magic comment to log instant events and variable events. In this way, you'll have 0 overhead and side effect when you run your program normally, and log the events when you use viztracer to trace it .. code-block:: python # !viztracer: log_instant("start logging") a = 3 # !viztracer: log_var("a", a) Or you can use inline magic comment ``# !viztracer: log``, which will log the assigned value if the statement is an assign or it will log an instant event indicating this line is executed .. code-block:: python # This will log an instant event with name "f()" f() # !viztracer: log # This will log the variable a a = 3 # !viztracer: log You can also do conditional log with ``if`` .. code-block:: python # This will log the variable a a = 3 # !viztracer: log if a == 3 # This has the same effect # !viztracer: log_var("a", a) You need ``--magic_comment`` option for ``viztracer`` to trigger the magic comment .. code-block:: viztracer --magic_comment your_program.py .. _duration_event_label: Duration Event -------------- Duration Event is almost the same as function call event that normally being logged automatically, with the only exception that it does not have to be a function. You can log any piece of code using duration event and it will look like a function call event in your final report. .. code-block:: python from viztracer import get_tracer with get_tracer().log_event("my event name"): # some code running here You should use ``log_event`` method of your tracer, which is accessible through ``get_tracer()`` function when you are using CLI, or just pass the tracer if you are using inline. This feature is especially helpful when you are using :ref:`log_sparse_label`. ================================================ FILE: docs/source/decorator.rst ================================================ Decorator ========= .. py:decorator:: ignore_function ``@ignore_function`` can tell VizTracer to skip on functions you specified. .. code-block:: python # This only works when there's a globally registered tracer @ignore_function def function_you_want_to_ignore(): # function body # You can specify tracer if no global tracer is registered @ignore_function(tracer=tracer) def function_you_want_to_ignore(): # function body .. py:decorator:: trace_and_save(method=None, output_dir="./", **viztracer_kwargs) :param function method: trick to make both ``@trace_and_save`` and ``@trace_and_save(**kwargs)`` work :param str output_dir: output directory you want to put your logs in :param dict viztracer_kwargs: kwargs for VizTracer ``@trace_and_save`` can be used to trace a certain function and save the result as the program goes. This can be very helpful when you are running a very long program and just want to keep recording something periodically. You won't drain your memory and the parsing/dumping will be done in a new process, which can minimize the performance impact to your main process. This decorator will use ``fork`` if the start method is ``"fork"``. Otherwise it will use the same process to dump the report. You can pass any argument you want to ``VizTracer`` by giving it to the decorator .. code-block:: python @trace_and_save(output_dir="./mylogs", ignore_c_function=True) def function_you_want_to_trace(): # function body # this works as well @trace_and_save def function_you_want_to_trace(): # function body .. py:decorator:: log_sparse(func=None, stack_depth=0, dynamic_tracer_check=False) You can make VizTracer log only certain functions using ``--log_sparse`` mode. :param function func: callable to decorate :param int stack_depth: log the function and its descendants with a limit stack depth :param bool dynamic_tracer_check: run time check of tracer .. code-block:: python from viztracer import log_sparse # @log_sparse will only log this function @log_sparse def function_you_want_to_log(): # function body # @log_sparse(stack_depth=5) will log this function and its descendants # with a limit stack depth of 5 # Nested @log_sparse with stack_depth won't work # (only the outermost function and its stack will be logged) @log_sparse(stack_depth=5) def function_you_want_to_log(): # function body # Use dynamic_tracer_check=True if you use tracer as a context manager (or with %%viztracer). @log_sparse(dynamic_tracer_check=True) def function_you_want_to_log(): # function body with VizTracer(log_sparse=True): function_you_want_to_log() ================================================ FILE: docs/source/extra_log.rst ================================================ Extra Log ========= VizTracer features with many extra log possibilities **without even changing your source code**. You can start VizTracer from command line and use command line arguments to control what you need to log. Most of the features analyzes the AST generated from the source code and add nodes into it, so the overhead is minimal. However, some features like ``log_func_args`` will introduce a large overhead. Log Variable ------------ You can log any variable using regex matching to the variable name. This is like adding ``print`` after assigning the variable without actually writing the code. The log will appear in the report as an Instant Event, and the variables ``repr`` will be showed .. code-block:: viztracer --log_var -- my_script.py ``--`` is added to resolve the ambiguity. Every time a variable matches regex ```` is assigned a value, it will be logged. If you don't know what regex is, simply using the full name of the variable as ```` will allow you to log the variable Log Number ---------- Similar to `Log Variable`_, you can log any variable as a number, which will be logged as Counter Event. The report will visualize the number through time as a separate signal like ``VizCounter`` did. .. code-block:: viztracer --log_number -- my_script.py ``--`` is added to resolve the ambiguity. Every time a variable matches regex ```` is assigned a value, it will be logged. If you don't know what regex is, simply using the full name of the variable as ```` will allow you to log the variable Using ``--log_number`` on non-numeric variables will raise an exception. Log Attribute ------------- You can log writes to attributes based on the name of the attribute. This is useful when you want to track an attribute of an object, but there are just too many entries to it. It could be ``self.attr_name``, ``obj.attr_name`` or even ``obj_list[0].attr_name``. With ``log_attr`` you can log the attributes matching the regex as an Instant Event. .. code-block:: viztracer --log_attr -- my_script.py ``--`` is added to resolve the ambiguity. Every time an attribute matches regex ```` is assigned a value, it will be logged. If you don't know what regex is, simply using the full name of the attribute as ```` will allow you to log the attribute Log Function Entry ------------------ You can log when a function is called. This is helpful to label the timeline for some crucial function. The log will be displayed as an Instant Event. .. code-block:: viztracer --log_func_entry -- my_script.py ``--`` is added to resolve the ambiguity. Every time an function matches regex ```` is called, it will be logged. If you don't know what regex is, simply using the full name of the function as ```` will allow you to log the function Log Function Execution ---------------------- You can log function execution details. VizTracer will record all the assignments in specified functions and display them in the detailed information of the generated report. The log will be showed in function entry's ``args`` list. .. code-block:: viztracer --log_func_exec -- my_script.py ``--`` is added to resolve the ambiguity. Every time an function matches regex ```` is called, its execution will be logged. If you don't know what regex is, simply using the full name of the function as ```` will allow you to log the function Log Audit --------- You can log audit events introduced since python 3.8. The audit events will be logged as instant events. .. code-block:: # -- is added to resolve ambiguity viztracer --log_audit import builtins.input -- my_script.py # regex is supported viztracer --log_audit os.* -- my_script.py # If no argument is given, log every audit viztracer --log_audit -- my_script.py # You sometimes need to quote the regex to avoid command line ambiguity # (Linux terminal would think that you are passing files starts with '.') viztracer --log_audit ".*" -- my_script.py Log Exception ------------- You can log raised exceptions. All raised exceptions, whether caught or not, will be displayed as an Instant Event in the report. .. code-block:: viztracer --log_exception my_script.py Log Function Arguments ---------------------- You can log every function's arguments as ``string``, aka their ``__repr__``. The arguments will be stored in each python function entry under ``args["func_args"]``. You can overwrite the object's ``__repr__`` function to log the object as you need. You can enable this feature in command line or using inline. .. code-block:: viztracer --log_func_args my_script.py .. code-block:: python tracer = VizTracer(log_func_args=True) **This feature will introduce a very large overhead(depends on your argument list), so be aware of it** You can log additional arbitrary (key, value) pairs for your function entry using ``add_func_args()``. Refer to :doc:`viztracer` for it's usage Log Function Return Value ------------------------- VizTracer can log every function's return value as ``string``, aka it's ``__repr__``. The return value will be stored in each python function entry under ``args["return_value"]``. You can overwrite the object's ``__repr__`` function to log the object as you need. You can enable this feature in command line or using inline. .. code-block:: viztracer --log_func_retval my_script.py .. code-block:: python tracer = VizTracer(log_func_retval=True) Log Function Argument And Return Value With Custom Function ----------------------------------------------------------- You can log every function's arguments and return value with a custom function. You can feed your own function to ``VizTracer`` .. code-block:: python def myrepr(obj): if isinstance(obj, MyClass): return f"MyClass({obj.value})" return repr(obj) tracer = VizTracer(log_func_args=True, log_func_repr=myrepr) From the CLI, you can use the ``--log_func_with_objprint`` option to log with objprint .. code-block:: viztracer --log_func_args --log_func_with_objprint my_script.py Log Print --------- You can intercept ``print()`` function and record the data it prints to the report as an Instant Event. This is like doing print debug on timeline. You can do this simply by: .. code-block:: viztracer --log_print my_script.py OR .. code-block:: python tracer = VizTracer(log_print=True) Log Garbage Collector --------------------- You can log the optional garbage collector module in Python. Notice that in CPython, most garbage collection is done using reference count. The garbage collector module is only responsible for the cycle reference. So this feature is mainly used to detect cycle reference collection status, and the time consumed by running the optional garbage collector. You can do this simply by: .. code-block:: viztracer --log_gc my_script.py OR .. code-block:: python tracer = VizTracer(log_gc=True) Log Exit data ------------- Normally VizTracer only logs the executed code in "execution phase", or "within exec() function". You can, however, log functions in ``atexit`` or other on-exit hooks. .. code-block:: viztracer --log_exit my_script.py Work with ``logging`` module ---------------------------- VizTracer can work with python builtin ``logging`` module by adding a handler to it. The report will show logging data as Instant Events. .. code-block:: python from viztracer import VizTracer from viztracer.vizlogging import VizLoggingHandler tracer = VizTracer() handler = VizLoggingHandler() handler.setTracer(tracer) # A handler is added to logging so logging will dump data to VizTracer logging.basicConfig(handlers = [handler]) ================================================ FILE: docs/source/filter.rst ================================================ Filter ====== Sometimes, you may have too many data entries and you want to filter some of them out to either improve the performance or make the report clearer. VizTracer provides multiple filters for your needs. Min Duration ------------ You can ask VizTracer to only record entries that last longer than a period of time .. code-block:: viztracer --min_duration 0.2ms my_script.py OR .. code-block:: python tracer = VizTracer(min_duration=200) Notice that with command line interface, ``viztracer`` expects a string representing a period of time, which should be in format of ````. ex. ``0.2ms``, ``300ns``, ``5.5us``. You can also omit the unit and it would be parsed as ``us``, ex. ``0.5`` is the same as ``0.5us``. But as an argument to ``VizTracer``, it should be a number of ``us``. The default value of ``min_duration`` is ``0``, meaning every function entry is recorded. Max Stack depth --------------- You can limit maximum stack depth to trace by .. code-block:: viztracer --max_stack_depth 10 my_script.py OR .. code-block:: python tracer = VizTracer(max_stack_depth=10) Include and Exclude Files ------------------------- You can include only certain files/folders to trace by .. code-block:: # -- is used to resolve ambiguity viztracer --include_files ./src -- my_script.py OR .. code-block:: python tracer = VizTracer(include_files=["./src"]) Similarly, you can exclude certain files/folders to trace by .. code-block:: # -- is used to resolve ambiguity viztracer --exclude_files ./not_interested.py -- my_script.py OR .. code-block:: python tracer = VizTracer(exclude_files=["./not_interested.py"]) Notice this will have a significant negative impact on performance, as VizTracer needs to check every function entry to see if it's in the list. Ignore C Function ----------------- By default, VizTracer will trace both python and C functions. You can turn off tracing C functions by .. code-block:: viztracer --ignore_c_function my_script.py OR .. code-block:: python tracer = VizTracer(ignore_c_function=True) Since most of the builtin functions(like ``append`` or ``len``) are C functions which are frequently called, ignoring C functions often improves the overhead and file size significantly. Ignore Non File --------------- You can ask VizTracer not to trace any functions that are not in a valid file(mostly import stuff) using ``ignore_frozen`` .. code-block:: viztracer --ignore_frozen my_script.py OR .. code-block:: python tracer = VizTracer(ignore_frozen=True) Ignore Function --------------- It's possible that you want to ignore some arbitrary functions and their descendants. You can do it using ``@ignore_function`` decorator .. code-block:: python from viztracer import ignore_function # This only works when there's a globally registered tracer @ignore_function def some_function(): # nothing inside will be traced .. _log_sparse_label: Log Sparse ---------- You can make VizTracer log only certain functions using ``--log_sparse``. This is helpful when you are only interested in the time spent on specific functions for a big picture on larger projects. First, you need to add decorator ``@log_sparse`` on the function you want to log .. code-block:: python from viztracer import log_sparse # @log_sparse will only log this function @log_sparse def function_you_want_to_log(): # function body # @log_sparse(stack_depth=5) will log this function and its descendants # with a limit stack depth of 5 # Nested @log_sparse with stack_depth won't work # (only the outermost function and its stack will be logged) @log_sparse(stack_depth=5) def function_you_want_to_log(): # function body # Use dynamic_tracer_check=True if you use tracer as a context manager (or with %%viztracer). @log_sparse(dynamic_tracer_check=True) def function_you_want_to_log(): # function body with VizTracer(log_sparse=True): function_you_want_to_log() Then just call viztracer with ``--log_sparse`` .. code-block:: viztracer --log_sparse your_script.py When you are using ``--log_sparse``, due to the nature of the recording, some advanced features may not work with it. You can leave ``@log_sparse`` as it is when you are not running the script with VizTracer. It will be like a no-op If you want to log a piece of code, rather than a full function, please check :ref:`duration_event_label`. Duration Event is compatible with ``log_sparse`` To use ``@log_sparse`` in conjunction with a context manager, you must define decorating functions within the created context, or set the `dynamic_tracer_check=True`` argument of decorator. The second option leads to runtime checks, so it increases the overhead. ================================================ FILE: docs/source/global_tracer.rst ================================================ Global Tracer Object ==================== Some features in VizTracer require a ``VizTracer`` object so it's helpful to make the tracer object accessible globally. When you are using command line entry ``viztracer your_script.py``, you don't need to worry about it. The tracer will be automatically registered and you can access it from any file. When you instantiate the ``VizTracer`` object like ``tracer = VizTracer()`` in your script, it will be automatically registered globally. It is *not* recommended to have multiple tracer objects in a single script. However, you can turn off the global register by ``tracer = VizTracer(register_global=False)`` To access the tracer, do .. code-block:: python from viztracer import get_tracer # get_tracer() will return None if no tracer is registered tracer = get_tracer() When you use ``VizLoggingHandler`` or ``VizCounter`` or ``VizObject``, setting their tracer to ``None`` will make the logging a ``NOP``. This will enable you to leave the instrumentation code as it is and run your program both regularly and with ``viztracer`` You can do things like: .. code-block:: python from viztracer import get_tracer from viztracer.vizlogging import VizLoggingHandler handler = VizLoggingHandler() handler.setTracer(get_tracer()) .. code-block:: python from viztracer import get_tracer from viztracer.vizobject import VizObject obj = VizObject(get_tracer(), "my variable") ================================================ FILE: docs/source/index.rst ================================================ .. VizTracer documentation master file, created by sphinx-quickstart on Sun Aug 23 11:51:08 2020. You can adapt this file completely to your liking, but it should at least contain the root `toctree` directive. Welcome to VizTracer's documentation! ===================================== VizTracer is a low-overhead logging/debugging/profiling tool that can trace and visualize your python code to help you intuitively understand your code and figure out the time consuming part of your code. VizTracer can display every function executed and the corresponding entry/exit time from the beginning of the program to the end, which is helpful for programmers to catch sporadic performance issues. .. toctree:: :maxdepth: 1 :caption: Getting Started installation basic_usage global_tracer limitations .. toctree:: :maxdepth: 1 :caption: Advanced Features filter custom_event_intro extra_log concurrency remote_attach plugins .. toctree:: :maxdepth: 1 :caption: API Reference viztracer custom_event decorator viz_plugin .. toctree:: :maxdepth: 1 :caption: About sponsor contact license ================================================ FILE: docs/source/installation.rst ================================================ Installation ============ VizTracer works with python 3.9+ on Linux/MacOs/Windows. No other dependency. For now, VizTracer only supports CPython. The preferred way to install VizTracer is via pip .. code-block:: pip install viztracer You can also install with conda .. code-block:: conda install conda-forge::viztracer // Or if you already have conda forge set up conda install viztracer You can also download the source code and build it yourself. Even though VizTracer functions without any other packages, ``orjson`` could improve the performance of json dump/load. .. code-block:: pip install orjson Or you can install *full* version of viztracer: .. code-block:: pip install viztracer[full] ================================================ FILE: docs/source/license.rst ================================================ License ======= Copyright 2020-2024 Tian Gao Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. ================================================ FILE: docs/source/limitations.rst ================================================ Limitations =========== VizTracer uses ``sys.setprofile()`` (before Python3.12) and ``sys.monitoring`` (after Python3.12) for its profiler capabilities, so it will conflict with other profiling tools which also use these mechanisms. Be aware of it when using VizTracer The clock resolution and latency on WSL1 are very `bad `_, so if you are using WSL1, you may experience extra overhead. There's no solution for it, except for upgrading to WSL2. VizTracer, like other python tools that need to execute arbitrary code inside the module, may conflict with code that check for top module or have other structural requirements. For example, ``unittest.main()`` won't work if you use VizTracer from command line. There are ways to avoid it. You can use inline VizTracer, which will always work. Or you can specify modules to ``unittest.main()``, which is not a general solution but could work without too much code changes. If your code uses ``os._exit`` then VizTracer cannot save data before exiting. Consider using ``sys.exit`` instead. See `this issue `_ for details. ================================================ FILE: docs/source/plugins.rst ================================================ Plugins ======= VizTracer supports third party plugins that comply to the specification of VizTracer. To use a plugin, you need to install the plugin first. For example, if you want to use a plugin named ``vizplugins`` .. code-block:: pip install vizplugins Then you need to pass the plugin to ``viztracer`` using ``--plugins`` .. code-block:: viztracer --plugins vizplugins -- my_script.py There could be multiple plugins to use in a package, which are differentiate by modules. You can specify the module where plugin lives(you should refer to the plugin's doc for detailed usage) .. code-block:: viztracer --plugins vizplugins.cpu_time -- my_script.py You can even pass arguments to the plugin, but you need double quotes to pack them together. .. code-block:: viztracer --plugins "vizplugins.cpu_time -f 100" -- my_script.py You can also do it inline, just pass the string or the plugin object itself in a list to VizTracer .. code-block:: python tracer = VizTracer(plugins=["vizplugins.cpu_time"]) # Or tracer = VizTracer(plugins=[vizplugins.CpuTimePlugin()]) # To gracefully terminate all plugins, you need to do terminate tracer.terminate() .. code-block:: python # You can use with statement to avoid explicitly terminate with VizTracer(plugins=["vizplugins.cpu_time"]): # Do your stuff here If you want to develop your own plugin for VizTracer, take a look at :doc:`viz_plugin` ================================================ FILE: docs/source/remote_attach.rst ================================================ Remote Attach ============= Attach ------ VizTracer supports remote attach so you don't need to start the process with VizTracer. This is helpful when you don't want to restart the process to trace it. You can run the process once and forever, and only attach VizTracer when you want to trace it. The process will run normally without performance hit when you are not attaching VizTracer. **This feature does not support Windows** To attach to the process and trace it, you have two ways: 1. You can attach to an arbitrary Python process, as long as ``viztracer`` is importable in that process 2. You can attach to a Python process that already installed VizTracer The **first** way is more flexible - it will inject code into the process to load ``viztracer``. You can even pass arguments from ``viztracer`` command line. .. code-block:: viztracer --attach -o result.json **viztracer has to be importable in the attached process otherwise it will raise an exception** This means, you need to install ``viztracer`` in the environment(venv, pyenv etc.) of the attached process. You don't have to use the ``viztracer`` from the same environment to attach though. **gdb is required on Linux, and lldb is required on MacOS** Notice that, if there is already a globally registered ``VizTracer`` object in the attached process, that object will be used for tracing. If it's already running, then attaching won't do anything. Otherwise all the arguments will be sent to the attached process to instantiate a ``VizTracer`` object. By default, you need to Ctrl+C out of viztracer to save the report. Be aware that it is the attached process rather than attaching process(viztracer) that is saving the report, so it's the attached process's resource that is being spent. You can also trace for a period of time using ``-t`` .. code-block:: viztracer --attach -t Even though this looks decent, there are some dark magic going under the rug and you may want to do something cleaner, which brings up the **second** way - pre-install viztracer in the process you want to profile. Another good thing about this way is that it's thread-aware. Even if you attach after spawning threads, you can still get profile data from the other threads. .. code-block:: python from viztracer import VizTracer tracer = VizTracer() tracer.install() ``tracer.install()`` will basically add handlers for ``SIGUSR1`` and ``SIGUSR2`` which are only available on Unix. This also requires the program not to use these two signals. Then when you are running this process, you can attach to it with VizTracer, using it's pid .. code-block:: viztracer --attach_installed If you need other options, you should specify them in ``VizTracer`` instance in attached process. Uninstall --------- There could be time when you want to "uninstall" VizTracer from a process. For example, for some reason, the attach process failed and VizTracer is left on in the process. You can do that with: .. code-block:: viztracer --uninstall ================================================ FILE: docs/source/sponsor.rst ================================================ Sponsor ======= If you find VizTracer useful and would like to support its development, please consider `sponsoring `_ the project. Your support will help ensure that VizTracer continues to improve and evolve. Thank you to our current sponsors: .. raw:: html ================================================ FILE: docs/source/viz_plugin.rst ================================================ VizPlugin ========= In this doc, we will show how to build your own plugin for VizTracer. Every plugin should inherit ``VizPluginBase`` from ``viztracer.vizplugin`` .. py:class:: VizPluginBase(self) .. py:method:: support_version(self) :return: the string for the latest version of viztracer supported to have API compatibility :rtype: dict You must have this method overloaded and return the version, otherwise viztracer will raise an exception .. code-block:: python def support_version(self): return "0.11.0" .. py:method:: message(self, m_type, payload) :param str m_type: type of message :param dict payload: a very flexible payload with the message :return: the corresponding return value. Could be an action, or a respond. :rtype: dict As of now, ``message()`` only supports two kinds of ``m_type`` - ``"event"`` and ``"command"``. ``"event"`` has a ``payload`` that has key ``"when"``, to indicate when the event happens. ``"when"`` could be ``initialize``, ``pre-start``, ``post-stop`` or ``pre-save``. When ``"event"`` type message is received, the plugin can return an action, with key ``"action"`` set to the action it needs. For now the only one supported is ``"handle_data"``, with which you also needs to provide a data handler ``"handler"`` return ``{}`` if you don't want to do anything ``"command"`` has a payload that has key ``"cmd_type"``, to indicate what VizTracer expects the plugin to do. ``"cmd_type"`` could only be ``"terminate"`` for now. ``"terminate"`` command is guaranteed before viztracer exits when commandline interface is used. However, if you are using viztracer inline, you will have to explicitly run ``tracer.terminate()`` unless you are using ``with VizTracer()``. When ``"command"`` type message is received, the plugin has to return a dict like ``{"success": True}`` to inform VizTracer that the plugin received the command and did what it asked. .. code-block::python def message(self, m_type, payload): if m_type == "event": if payload["when"] == "pre-start": self.do_something() elif payload["when"] == "pre-save": return({"action":"handle_data", "handler", self.handler}) elif m_type == "command": if payload["cmd_type"] == "terminate": # release all the resources here return({"success": True}) return {} Possible Actions ---------------- This sections lists all the possible actions you can take after you received an event. You should return ``{"action": "the action name" ...}`` with specific payload for each action ``"handle_data"`` When you want to modify the data, which is a common way to change the result viztracer has, you need to use ``"handle_data"`` action. You should return ``{"action": "handle_data", "handler": my_handler}`` where ``my_handler`` should be a function with a prototype ``def my_handler(data)``. VizTracer will call this handler to modify the original data before it saves the report Make Your Plugin Accessible --------------------------- You will also need a magic function defined to enable VizTracer to load your plugins from command line. The function has to be named ```get_vizplugin(arg)```, which will return an instance of your plugin object based on the arg given when it's called. You also need to put this function in the module that you want your use to use on command line. For example, if I want my user to use my plugin as ``viztracer --plugins vizplugins -- my_script.py``, I should put ``get_vizplugin()`` function in ``vizplugins/__init__.py``. Or if I want them to use as ``viztracer --plugins vizplugins.cpu_usage -- my_script.py``, I should put the function in ``vizplugins/cpu_usage.py`` Be aware that **arg is an unparsed string** like "vizplugins.cpu_time f 100". You can split it yourself and parse it the way you like. Or you can specify something special for your own plugin ================================================ FILE: docs/source/viztracer.rst ================================================ VizTracer ========= .. py:class:: VizTracer(self,\ tracer_entries=1000000,\ verbose=1,\ max_stack_depth=-1,\ include_files=None,\ exclude_files=None,\ ignore_c_function=False,\ ignore_frozen=False,\ log_func_retval=False,\ log_func_args=False,\ log_func_repr=None,\ log_func_with_objprint=None,\ log_print=False,\ log_gc=False,\ log_sparse=False,\ log_async=False,\ log_torch=False,\ log_audit=False,\ pid_suffix=False,\ file_info=True,\ register_global=True,\ trace_self=False,\ min_duration=0,\ minimize_memory=False,\ dump_raw=False,\ sanitize_function_name=False,\ process_name=None,\ output_file="result.json",\ plugins=None) .. py:attribute:: tracer_entries :type: int :value: 1000000 Size of circular buffer. The user can only specify this value when instantiate ``VizTracer`` object or if they use command line Please be aware that a larger number of entries also means more disk space, RAM usage and loading time. Be familiar with your computer's limit. ``tracer_entries`` means how many entries ``VizTracer`` can store. It's not a byte number. .. code-block:: viztracer --tracer_entries 500000 .. py:attribute:: verbose :type: int :value: 1 Verbose level of VizTracer. Can be set to ``0`` so it won't print anything while tracing Setting it to ``0`` is equivalent to .. code-block:: viztracer --quiet .. py:attribute:: max_stack_depth :type: int :value: -1 Specify the maximum stack depth VizTracer will trace. ``-1`` means infinite. Equivalent to .. code-block:: viztracer --max_stack_depth .. py:attribute:: include_files :type: Optional[list[str]] :value: None Specify the files or folders that VizTracer will trace. If it's not empty, VizTracer will function in whitelist mode, any files/folders not included will be ignored. Because converting code filename in tracer is too expensive, we will only compare the input and its absolute path against code filename, which could be a relative path. That means, if you run your program using relative path, but gives the ``include_files`` an absolute path, it will not be able to detect. Can't be set with ``exclude_files`` Equivalent to .. code-block:: viztracer --include_files file1[ file2 [file3 ...]] **NOTICE** In command line, ``--include_files`` takes multiple arguments, which will be ambiguous about the command that actually needs to run, so you need to explicitly specify command using ``--`` .. code-block:: viztracer --include_files file1 file2 -- my_scrpit.py .. py:attribute:: exclude_files :type: Optional[list[str]] :value: None Specify the files or folders that VizTracer will not trace. If it's not empty, VizTracer will function in blacklist mode, any files/folders not included will be ignored. Because converting code filename in tracer is too expensive, we will only compare the input and its absolute path against code filename, which could be a relative path. That means, if you run your program using relative path, but gives the ``exclude_files`` an absolute path, it will not be able to detect. Can't be set with ``include_files`` Equivalent to .. code-block:: viztracer --exclude_files file1[ file2 [file3 ...]] **NOTICE** In command line, ``--exclude_files`` takes multiple arguments, which will be ambiguous about the command that actually needs to run, so you need to explicitly specify command using ``--`` .. code-block:: viztracer --exclude_files file1 file2 -- my_scrpit.py .. py:attribute:: ignore_c_function :type: bool :value: False Whether trace c function Setting it to ``True`` is equivalent to .. code-block:: viztracer --ignore_c_function .. py:attribute:: ignore_frozen :type: bool :value: False Whether trace functions from frozen functions(mostly import stuff) Setting it to ``True`` is equivalent to .. code-block:: viztracer --ignore_frozen .. py:attribute:: log_func_retval :type: bool :value: False Whether log the return value of the function as string in report entry Setting it to ``True`` is equivalent to .. code-block:: viztracer --log_func_retval .. py:attribute:: log_func_args :type: bool :value: False Whether log the arguments of the function as string in report entry Setting it to ``True`` is equivalent to .. code-block:: viztracer --log_func_args .. py:attribute:: log_func_repr :type: Optional[Callable[..., str]] :value: None A custom repr function to log the function arguments and return value. The function should take a single argument and return a string. .. py:attribute:: log_func_with_objprint :type: bool :value: False Whether log the arguments and return value of the function with ``objprint``. This attribute can't be ``True`` if ``log_func_repr`` is given. Setting it to ``True`` is equivalent to .. code-block:: viztracer --log_func_with_objprint .. py:attribute:: log_print :type: bool :value: False Whether replace the ``print`` function to log in VizTracer report Setting it to ``True`` is equivalent to .. code-block:: viztracer --log_print .. py:attribute:: log_gc :type: bool :value: False Whether log garbage collector Setting it to ``True`` is equivalent to .. code-block:: viztracer --log_gc .. py:attribute:: log_sparse :type: bool :value: False Whether initialize the tracer in ``log_sparse`` mode. In this mode, the tracer will start as a context. This option should be used when you are using inline tracing with ``@log_sparse`` .. py:attribute:: log_async :type: bool :value: False Whether log async tasks as separate "thread" in vizviewer Setting it to ``True`` is equivalent to .. code-block:: viztracer --log_async .. py:attribute:: log_torch :type: bool :value: False Whether log native torch events Setting it to ``True`` is equivalent to .. code-block:: viztracer --log_torch .. py:attribute:: log_audit :type: Optional[Sequence[str]] :value: None The audit events to log. Equivalent to .. code-block:: viztracer --log_audit event1[ event2 [event3 ...]] .. py:attribute:: pid_suffix :type: bool :value: False Whether append pid to the output file name. Equivalent to .. code-block:: viztracer --pid_suffix .. py:attribute:: file_info :type: bool :value: False Whether save the file_info in the report. .. py:attribute:: register_global :type: bool :value: True whether register the tracer globally, so every file can use ``get_tracer()`` to get this tracer. When command line entry is used, the tracer will be automatically registered. When ``VizTracer()`` is manually instantiated, it will be registered as well by default. Some functions may require a globally registered tracer to work. This attribute will only be effective when the object is initialized: .. code-block:: python tracer = VizTracer(register_global=False) .. py:attribute:: trace_self :type: bool :value: False whether trace the function calls of the tracer itself. .. py:attribute:: min_duration :type: float :value: 0 Minimum duration of a function to be logged. The value is in unit of ``us``. .. py:attribute:: minimize_memory :type: bool :value: False Whether make effort to minimize the RAM usage when dumping the data. .. py:attribute:: dump_raw :type: bool :value: False Whether use the raw dump for json report. This is usually faster because it dumps directly in C. .. py:attribute:: sanitize_function_name :type: bool :value: False Whether check the function name before dump. This is useful for dymanically generated PyMethodDef. .. py:attribute:: process_name :type: Optional[str] :value: None The process name to display in the report. .. py:attribute:: output_file :type: string :value: "result.json" Default file path to write report Equivalent to .. code-block:: viztracer -o .. py:attribute:: plugins :type: Optional[Sequence[Union[VizPluginBase, str]]] :value: None List of plugins to use. .. py:method:: run(command, output_file=None) run ``command`` and save report to ``output_file`` .. py:method:: save(output_file=None, file_info=None, verbose=None) parse data and save report to ``output_file``. If ``output_file`` is ``None``, save to default path. .. py:method:: start() start tracing .. py:method:: stop(stop_option=None) stop tracing. The only valid value for ``stop_option`` is ``"flush_as_finish"``. When defined, VizTracer will log all the unfinished functions. .. py:method:: clear() clear all the collected data .. py:method:: parse() parse the data collected, return number of total entries .. py:method:: enable_thread_tracing() Not needed on Python3.12+. enable tracing in the current thread, useful when you use multi-thread without builtin threading module .. py:method:: add_variable(name, var, event="instant") :param str name: name of this variable :param object var: variable to be added :param str event: one of ``instant`` or ``counter`` Add variable to the report. ``event`` determines the logging type. .. py:method:: add_instant(name, args, scope="g") :param str name: name of this instant event :param object args: the arguments of this instant event :param str scope: one of ``"g"``, ``"p"`` or ``"t"`` for global, process or thread level event Add instant event to the report. .. py:method:: add_counter(name, args) :param str name: name of this counter event :param object args: the arguments of this counter event Add counter event to the report. .. py:method:: add_raw(raw) :param object raw: the raw chrome trace event to add to the report Add a raw event to the report. .. py:method:: add_func_args(name, key, value) :param str key: key to display in the report :param object value: a jsonifiable object This method allows you to attach args to the current function, which will show in the report when you click on the function .. py:method:: log_event(event_name) :param str event_name: name of this event that will appear in the result :return: VizEvent object that should only be used with ``with`` statement :rtype: VizEvent .. code-block:: python with get_tracer().log_event("event name"): # some code here .. py:method:: set_afterfork(callback, *args, **kwargs) :param callable callback: the callback function after fork, should take a ``VizTracer`` object as the first argument :param list args: positional arguments to ``callback`` :param dict kwargs: keyword arguments to ``callback`` This method will register a callback function after the process is forked. If you want different behavior on child processes with ``multiprocessing``, you can utilize this method Notice that the ``callback`` argument should be a ``callable`` that takes a ``VizTracer`` object as the first argument .. code-block:: python from viztracer import get_tracer def afterfork_callback(tracer): tracer.max_stack_depth = 10 get_tracer().set_afterfork(afterfork_callback) .. py:method:: getts() :return: current timestamp in us :rtype: int Get current timestamp in us .. py:method:: get_base_time() :return: the base time of the tracer in ns :rtype: int Get the base time of the tracer ================================================ FILE: example/generate_examples.py ================================================ import os import subprocess def generate_by_script(script): file_path = os.path.join(os.path.dirname(__file__), "src", script) subprocess.run(["python", file_path]) def generate_by_vt(script, options): file_path = os.path.join(os.path.dirname(__file__), "src", script) output_file = os.path.join( os.path.dirname(__file__), "json", script.replace("py", "json") ) subprocess.run( ["viztracer"] + options + ["-o", output_file, "--file_info", file_path] ) if __name__ == "__main__": vt_options = { "mcts_game": ["--log_gc"], "logging_integration": ["--include_files", os.path.dirname(__file__)], "multi_process_pool": ["--log_multiprocess"], "async_simple": ["--log_async"], } for script in os.listdir(os.path.join(os.path.dirname(__file__), "src")): if script.split(".")[0] in vt_options: options = vt_options[script.split(".")[0]] generate_by_vt(script, options) elif script.endswith(".py"): generate_by_script(script) ================================================ FILE: example/json/async_simple.json ================================================ {"traceEvents": [{"ph": "M", "pid": 222311, "tid": 222311, "name": "process_name", "args": {"name": "MainProcess"}}, {"ph": "M", "pid": 222311, "tid": 222311, "name": "thread_name", "args": {"name": 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"tid": 8357440, "name": "thread_name", "args": {"name": "Task-1"}}, {"ph": "M", "pid": 222311, "tid": 8358400, "name": "thread_name", "args": {"name": "Task-2"}}, {"ph": "M", "pid": 222311, "tid": 8358976, "name": "thread_name", "args": {"name": "Task-3"}}, {"ph": "M", "pid": 222311, "tid": 8359936, "name": "thread_name", "args": {"name": "Task-4"}}, {"ph": "M", "pid": 222311, "tid": 8356864, "name": "thread_name", "args": {"name": "Task-5"}}, {"ph": "M", "pid": 222311, "tid": 8360128, "name": "thread_name", "args": {"name": "Task-6"}}], "viztracer_metadata": {"overflow": false, "version": "1.1.1"}, "file_info": {"files": {"/usr/lib/python3.12/asyncio/runners.py": ["__all__ = ('Runner', 'run')\n\nimport contextvars\nimport enum\nimport functools\nimport threading\nimport signal\nfrom . import coroutines\nfrom . import events\nfrom . import exceptions\nfrom . import tasks\nfrom . import constants\n\nclass _State(enum.Enum):\n CREATED = \"created\"\n INITIALIZED = \"initialized\"\n CLOSED = \"closed\"\n\n\nclass Runner:\n \"\"\"A context manager that controls event loop life cycle.\n\n The context manager always creates a new event loop,\n allows to run async functions inside it,\n and properly finalizes the loop at the context manager exit.\n\n If debug is True, the event loop will be run in debug mode.\n If loop_factory is passed, it is used for new event loop creation.\n\n asyncio.run(main(), debug=True)\n\n is a shortcut for\n\n with asyncio.Runner(debug=True) as runner:\n runner.run(main())\n\n The run() method can be called multiple times within the runner's context.\n\n This can be useful for interactive console (e.g. IPython),\n unittest runners, console tools, -- everywhere when async code\n is called from existing sync framework and where the preferred single\n asyncio.run() call doesn't work.\n\n \"\"\"\n\n # Note: the class is final, it is not intended for inheritance.\n\n def __init__(self, *, debug=None, loop_factory=None):\n self._state = _State.CREATED\n self._debug = debug\n self._loop_factory = loop_factory\n self._loop = None\n self._context = None\n self._interrupt_count = 0\n self._set_event_loop = False\n\n def __enter__(self):\n self._lazy_init()\n return self\n\n def __exit__(self, exc_type, exc_val, exc_tb):\n self.close()\n\n def close(self):\n \"\"\"Shutdown and close event loop.\"\"\"\n if self._state is not _State.INITIALIZED:\n return\n try:\n loop = self._loop\n _cancel_all_tasks(loop)\n loop.run_until_complete(loop.shutdown_asyncgens())\n loop.run_until_complete(\n loop.shutdown_default_executor(constants.THREAD_JOIN_TIMEOUT))\n finally:\n if self._set_event_loop:\n events.set_event_loop(None)\n loop.close()\n self._loop = None\n self._state = _State.CLOSED\n\n def get_loop(self):\n \"\"\"Return embedded event loop.\"\"\"\n self._lazy_init()\n return self._loop\n\n def run(self, coro, *, context=None):\n \"\"\"Run a coroutine inside the embedded event loop.\"\"\"\n if not coroutines.iscoroutine(coro):\n raise ValueError(\"a coroutine was expected, got {!r}\".format(coro))\n\n if events._get_running_loop() is not None:\n # fail fast with short traceback\n raise RuntimeError(\n \"Runner.run() cannot be called from a running event loop\")\n\n self._lazy_init()\n\n if context is None:\n context = self._context\n task = self._loop.create_task(coro, context=context)\n\n if (threading.current_thread() is threading.main_thread()\n and signal.getsignal(signal.SIGINT) is signal.default_int_handler\n ):\n sigint_handler = functools.partial(self._on_sigint, main_task=task)\n try:\n signal.signal(signal.SIGINT, sigint_handler)\n except ValueError:\n # `signal.signal` may throw if `threading.main_thread` does\n # not support signals (e.g. embedded interpreter with signals\n # not registered - see gh-91880)\n sigint_handler = None\n else:\n sigint_handler = None\n\n self._interrupt_count = 0\n try:\n return self._loop.run_until_complete(task)\n except exceptions.CancelledError:\n if self._interrupt_count > 0:\n uncancel = getattr(task, \"uncancel\", None)\n if uncancel is not None and uncancel() == 0:\n raise KeyboardInterrupt()\n raise # CancelledError\n finally:\n if (sigint_handler is not None\n and signal.getsignal(signal.SIGINT) is sigint_handler\n ):\n signal.signal(signal.SIGINT, signal.default_int_handler)\n\n def _lazy_init(self):\n if self._state is _State.CLOSED:\n raise RuntimeError(\"Runner is closed\")\n if self._state is _State.INITIALIZED:\n return\n if self._loop_factory is None:\n self._loop = events.new_event_loop()\n if not self._set_event_loop:\n # Call set_event_loop only once to avoid calling\n # attach_loop multiple times on child watchers\n events.set_event_loop(self._loop)\n self._set_event_loop = True\n else:\n self._loop = self._loop_factory()\n if self._debug is not None:\n self._loop.set_debug(self._debug)\n self._context = contextvars.copy_context()\n self._state = _State.INITIALIZED\n\n def _on_sigint(self, signum, frame, main_task):\n self._interrupt_count += 1\n if self._interrupt_count == 1 and not main_task.done():\n main_task.cancel()\n # wakeup loop if it is blocked by select() with long timeout\n self._loop.call_soon_threadsafe(lambda: None)\n return\n raise KeyboardInterrupt()\n\n\ndef run(main, *, debug=None, loop_factory=None):\n \"\"\"Execute the coroutine and return the result.\n\n This function runs the passed coroutine, taking care of\n managing the asyncio event loop, finalizing asynchronous\n generators and closing the default executor.\n\n This function cannot be called when another asyncio event loop is\n running in the same thread.\n\n If debug is True, the event loop will be run in debug mode.\n\n This function always creates a new event loop and closes it at the end.\n It should be used as a main entry point for asyncio programs, and should\n ideally only be called once.\n\n The executor is given a timeout duration of 5 minutes to shutdown.\n If the executor hasn't finished within that duration, a warning is\n emitted and the executor is closed.\n\n Example:\n\n async def main():\n await asyncio.sleep(1)\n print('hello')\n\n asyncio.run(main())\n \"\"\"\n if events._get_running_loop() is not None:\n # fail fast with short traceback\n raise RuntimeError(\n \"asyncio.run() cannot be called from a running event loop\")\n\n with Runner(debug=debug, loop_factory=loop_factory) as runner:\n return runner.run(main)\n\n\ndef _cancel_all_tasks(loop):\n to_cancel = tasks.all_tasks(loop)\n if not to_cancel:\n return\n\n for task in to_cancel:\n task.cancel()\n\n loop.run_until_complete(tasks.gather(*to_cancel, return_exceptions=True))\n\n for task in to_cancel:\n if task.cancelled():\n continue\n if task.exception() is not None:\n loop.call_exception_handler({\n 'message': 'unhandled exception during asyncio.run() shutdown',\n 'exception': task.exception(),\n 'task': task,\n })\n", 215], "": ["\"\"\"Core implementation of import.\n\nThis module is NOT meant to be directly imported! It has been designed such\nthat it can be bootstrapped into Python as the implementation of import. As\nsuch it requires the injection of specific modules and attributes in order to\nwork. One should use importlib as the public-facing version of this module.\n\n\"\"\"\n#\n# IMPORTANT: Whenever making changes to this module, be sure to run a top-level\n# `make regen-importlib` followed by `make` in order to get the frozen version\n# of the module updated. Not doing so will result in the Makefile to fail for\n# all others who don't have a ./python around to freeze the module\n# in the early stages of compilation.\n#\n\n# See importlib._setup() for what is injected into the global namespace.\n\n# When editing this code be aware that code executed at import time CANNOT\n# reference any injected objects! This includes not only global code but also\n# anything specified at the class level.\n\ndef _object_name(obj):\n try:\n return obj.__qualname__\n except AttributeError:\n return type(obj).__qualname__\n\n# Bootstrap-related code ######################################################\n\n# Modules injected manually by _setup()\n_thread = None\n_warnings = None\n_weakref = None\n\n# Import done by _install_external_importers()\n_bootstrap_external = None\n\n\ndef _wrap(new, old):\n \"\"\"Simple substitute for functools.update_wrapper.\"\"\"\n for replace in ['__module__', '__name__', '__qualname__', '__doc__']:\n if hasattr(old, replace):\n setattr(new, replace, getattr(old, replace))\n new.__dict__.update(old.__dict__)\n\n\ndef _new_module(name):\n return type(sys)(name)\n\n\n# Module-level locking ########################################################\n\n# For a list that can have a weakref to it.\nclass _List(list):\n pass\n\n\n# Copied from weakref.py with some simplifications and modifications unique to\n# bootstrapping importlib. Many methods were simply deleting for simplicity, so if they\n# are needed in the future they may work if simply copied back in.\nclass _WeakValueDictionary:\n\n def __init__(self):\n self_weakref = _weakref.ref(self)\n\n # Inlined to avoid issues with inheriting from _weakref.ref before _weakref is\n # set by _setup(). Since there's only one instance of this class, this is\n # not expensive.\n class KeyedRef(_weakref.ref):\n\n __slots__ = \"key\",\n\n def __new__(type, ob, key):\n self = super().__new__(type, ob, type.remove)\n self.key = key\n return self\n\n def __init__(self, ob, key):\n super().__init__(ob, self.remove)\n\n @staticmethod\n def remove(wr):\n nonlocal self_weakref\n\n self = self_weakref()\n if self is not None:\n if self._iterating:\n self._pending_removals.append(wr.key)\n else:\n _weakref._remove_dead_weakref(self.data, wr.key)\n\n self._KeyedRef = KeyedRef\n self.clear()\n\n def clear(self):\n self._pending_removals = []\n self._iterating = set()\n self.data = {}\n\n def _commit_removals(self):\n pop = self._pending_removals.pop\n d = self.data\n while True:\n try:\n key = pop()\n except IndexError:\n return\n _weakref._remove_dead_weakref(d, key)\n\n def get(self, key, default=None):\n if self._pending_removals:\n self._commit_removals()\n try:\n wr = self.data[key]\n except KeyError:\n return default\n else:\n if (o := wr()) is None:\n return default\n else:\n return o\n\n def setdefault(self, key, default=None):\n try:\n o = self.data[key]()\n except KeyError:\n o = None\n if o is None:\n if self._pending_removals:\n self._commit_removals()\n self.data[key] = self._KeyedRef(default, key)\n return default\n else:\n return o\n\n\n# A dict mapping module names to weakrefs of _ModuleLock instances.\n# Dictionary protected by the global import lock.\n_module_locks = {}\n\n# A dict mapping thread IDs to weakref'ed lists of _ModuleLock instances.\n# This maps a thread to the module locks it is blocking on acquiring. The\n# values are lists because a single thread could perform a re-entrant import\n# and be \"in the process\" of blocking on locks for more than one module. A\n# thread can be \"in the process\" because a thread cannot actually block on\n# acquiring more than one lock but it can have set up bookkeeping that reflects\n# that it intends to block on acquiring more than one lock.\n#\n# The dictionary uses a WeakValueDictionary to avoid keeping unnecessary\n# lists around, regardless of GC runs. This way there's no memory leak if\n# the list is no longer needed (GH-106176).\n_blocking_on = None\n\n\nclass _BlockingOnManager:\n \"\"\"A context manager responsible to updating ``_blocking_on``.\"\"\"\n def __init__(self, thread_id, lock):\n self.thread_id = thread_id\n self.lock = lock\n\n def __enter__(self):\n \"\"\"Mark the running thread as waiting for self.lock. via _blocking_on.\"\"\"\n # Interactions with _blocking_on are *not* protected by the global\n # import lock here because each thread only touches the state that it\n # owns (state keyed on its thread id). The global import lock is\n # re-entrant (i.e., a single thread may take it more than once) so it\n # wouldn't help us be correct in the face of re-entrancy either.\n\n self.blocked_on = _blocking_on.setdefault(self.thread_id, _List())\n self.blocked_on.append(self.lock)\n\n def __exit__(self, *args, **kwargs):\n \"\"\"Remove self.lock from this thread's _blocking_on list.\"\"\"\n self.blocked_on.remove(self.lock)\n\n\nclass _DeadlockError(RuntimeError):\n pass\n\n\n\ndef _has_deadlocked(target_id, *, seen_ids, candidate_ids, blocking_on):\n \"\"\"Check if 'target_id' is holding the same lock as another thread(s).\n\n The search within 'blocking_on' starts with the threads listed in\n 'candidate_ids'. 'seen_ids' contains any threads that are considered\n already traversed in the search.\n\n Keyword arguments:\n target_id -- The thread id to try to reach.\n seen_ids -- A set of threads that have already been visited.\n candidate_ids -- The thread ids from which to begin.\n blocking_on -- A dict representing the thread/blocking-on graph. This may\n be the same object as the global '_blocking_on' but it is\n a parameter to reduce the impact that global mutable\n state has on the result of this function.\n \"\"\"\n if target_id in candidate_ids:\n # If we have already reached the target_id, we're done - signal that it\n # is reachable.\n return True\n\n # Otherwise, try to reach the target_id from each of the given candidate_ids.\n for tid in candidate_ids:\n if not (candidate_blocking_on := blocking_on.get(tid)):\n # There are no edges out from this node, skip it.\n continue\n elif tid in seen_ids:\n # bpo 38091: the chain of tid's we encounter here eventually leads\n # to a fixed point or a cycle, but does not reach target_id.\n # This means we would not actually deadlock. This can happen if\n # other threads are at the beginning of acquire() below.\n return False\n seen_ids.add(tid)\n\n # Follow the edges out from this thread.\n edges = [lock.owner for lock in candidate_blocking_on]\n if _has_deadlocked(target_id, seen_ids=seen_ids, candidate_ids=edges,\n blocking_on=blocking_on):\n return True\n\n return False\n\n\nclass _ModuleLock:\n \"\"\"A recursive lock implementation which is able to detect deadlocks\n (e.g. thread 1 trying to take locks A then B, and thread 2 trying to\n take locks B then A).\n \"\"\"\n\n def __init__(self, name):\n # Create an RLock for protecting the import process for the\n # corresponding module. Since it is an RLock, a single thread will be\n # able to take it more than once. This is necessary to support\n # re-entrancy in the import system that arises from (at least) signal\n # handlers and the garbage collector. Consider the case of:\n #\n # import foo\n # -> ...\n # -> importlib._bootstrap._ModuleLock.acquire\n # -> ...\n # -> \n # -> __del__\n # -> import foo\n # -> ...\n # -> importlib._bootstrap._ModuleLock.acquire\n # -> _BlockingOnManager.__enter__\n #\n # If a different thread than the running one holds the lock then the\n # thread will have to block on taking the lock, which is what we want\n # for thread safety.\n self.lock = _thread.RLock()\n self.wakeup = _thread.allocate_lock()\n\n # The name of the module for which this is a lock.\n self.name = name\n\n # Can end up being set to None if this lock is not owned by any thread\n # or the thread identifier for the owning thread.\n self.owner = None\n\n # Represent the number of times the owning thread has acquired this lock\n # via a list of True. This supports RLock-like (\"re-entrant lock\")\n # behavior, necessary in case a single thread is following a circular\n # import dependency and needs to take the lock for a single module\n # more than once.\n #\n # Counts are represented as a list of True because list.append(True)\n # and list.pop() are both atomic and thread-safe in CPython and it's hard\n # to find another primitive with the same properties.\n self.count = []\n\n # This is a count of the number of threads that are blocking on\n # self.wakeup.acquire() awaiting to get their turn holding this module\n # lock. When the module lock is released, if this is greater than\n # zero, it is decremented and `self.wakeup` is released one time. The\n # intent is that this will let one other thread make more progress on\n # acquiring this module lock. This repeats until all the threads have\n # gotten a turn.\n #\n # This is incremented in self.acquire() when a thread notices it is\n # going to have to wait for another thread to finish.\n #\n # See the comment above count for explanation of the representation.\n self.waiters = []\n\n def has_deadlock(self):\n # To avoid deadlocks for concurrent or re-entrant circular imports,\n # look at _blocking_on to see if any threads are blocking\n # on getting the import lock for any module for which the import lock\n # is held by this thread.\n return _has_deadlocked(\n # Try to find this thread.\n target_id=_thread.get_ident(),\n seen_ids=set(),\n # Start from the thread that holds the import lock for this\n # module.\n candidate_ids=[self.owner],\n # Use the global \"blocking on\" state.\n blocking_on=_blocking_on,\n )\n\n def acquire(self):\n \"\"\"\n Acquire the module lock. If a potential deadlock is detected,\n a _DeadlockError is raised.\n Otherwise, the lock is always acquired and True is returned.\n \"\"\"\n tid = _thread.get_ident()\n with _BlockingOnManager(tid, self):\n while True:\n # Protect interaction with state on self with a per-module\n # lock. This makes it safe for more than one thread to try to\n # acquire the lock for a single module at the same time.\n with self.lock:\n if self.count == [] or self.owner == tid:\n # If the lock for this module is unowned then we can\n # take the lock immediately and succeed. If the lock\n # for this module is owned by the running thread then\n # we can also allow the acquire to succeed. This\n # supports circular imports (thread T imports module A\n # which imports module B which imports module A).\n self.owner = tid\n self.count.append(True)\n return True\n\n # At this point we know the lock is held (because count !=\n # 0) by another thread (because owner != tid). We'll have\n # to get in line to take the module lock.\n\n # But first, check to see if this thread would create a\n # deadlock by acquiring this module lock. If it would\n # then just stop with an error.\n #\n # It's not clear who is expected to handle this error.\n # There is one handler in _lock_unlock_module but many\n # times this method is called when entering the context\n # manager _ModuleLockManager instead - so _DeadlockError\n # will just propagate up to application code.\n #\n # This seems to be more than just a hypothetical -\n # https://stackoverflow.com/questions/59509154\n # https://github.com/encode/django-rest-framework/issues/7078\n if self.has_deadlock():\n raise _DeadlockError(f'deadlock detected by {self!r}')\n\n # Check to see if we're going to be able to acquire the\n # lock. If we are going to have to wait then increment\n # the waiters so `self.release` will know to unblock us\n # later on. We do this part non-blockingly so we don't\n # get stuck here before we increment waiters. We have\n # this extra acquire call (in addition to the one below,\n # outside the self.lock context manager) to make sure\n # self.wakeup is held when the next acquire is called (so\n # we block). This is probably needlessly complex and we\n # should just take self.wakeup in the return codepath\n # above.\n if self.wakeup.acquire(False):\n self.waiters.append(None)\n\n # Now take the lock in a blocking fashion. This won't\n # complete until the thread holding this lock\n # (self.owner) calls self.release.\n self.wakeup.acquire()\n\n # Taking the lock has served its purpose (making us wait), so we can\n # give it up now. We'll take it w/o blocking again on the\n # next iteration around this 'while' loop.\n self.wakeup.release()\n\n def release(self):\n tid = _thread.get_ident()\n with self.lock:\n if self.owner != tid:\n raise RuntimeError('cannot release un-acquired lock')\n assert len(self.count) > 0\n self.count.pop()\n if not len(self.count):\n self.owner = None\n if len(self.waiters) > 0:\n self.waiters.pop()\n self.wakeup.release()\n\n def __repr__(self):\n return f'_ModuleLock({self.name!r}) at {id(self)}'\n\n\nclass _DummyModuleLock:\n \"\"\"A simple _ModuleLock equivalent for Python builds without\n multi-threading support.\"\"\"\n\n def __init__(self, name):\n self.name = name\n self.count = 0\n\n def acquire(self):\n self.count += 1\n return True\n\n def release(self):\n if self.count == 0:\n raise RuntimeError('cannot release un-acquired lock')\n self.count -= 1\n\n def __repr__(self):\n return f'_DummyModuleLock({self.name!r}) at {id(self)}'\n\n\nclass _ModuleLockManager:\n\n def __init__(self, name):\n self._name = name\n self._lock = None\n\n def __enter__(self):\n self._lock = _get_module_lock(self._name)\n self._lock.acquire()\n\n def __exit__(self, *args, **kwargs):\n self._lock.release()\n\n\n# The following two functions are for consumption by Python/import.c.\n\ndef _get_module_lock(name):\n \"\"\"Get or create the module lock for a given module name.\n\n Acquire/release internally the global import lock to protect\n _module_locks.\"\"\"\n\n _imp.acquire_lock()\n try:\n try:\n lock = _module_locks[name]()\n except KeyError:\n lock = None\n\n if lock is None:\n if _thread is None:\n lock = _DummyModuleLock(name)\n else:\n lock = _ModuleLock(name)\n\n def cb(ref, name=name):\n _imp.acquire_lock()\n try:\n # bpo-31070: Check if another thread created a new lock\n # after the previous lock was destroyed\n # but before the weakref callback was called.\n if _module_locks.get(name) is ref:\n del _module_locks[name]\n finally:\n _imp.release_lock()\n\n _module_locks[name] = _weakref.ref(lock, cb)\n finally:\n _imp.release_lock()\n\n return lock\n\n\ndef _lock_unlock_module(name):\n \"\"\"Acquires then releases the module lock for a given module name.\n\n This is used to ensure a module is completely initialized, in the\n event it is being imported by another thread.\n \"\"\"\n lock = _get_module_lock(name)\n try:\n lock.acquire()\n except _DeadlockError:\n # Concurrent circular import, we'll accept a partially initialized\n # module object.\n pass\n else:\n lock.release()\n\n# Frame stripping magic ###############################################\ndef _call_with_frames_removed(f, *args, **kwds):\n \"\"\"remove_importlib_frames in import.c will always remove sequences\n of importlib frames that end with a call to this function\n\n Use it instead of a normal call in places where including the importlib\n frames introduces unwanted noise into the traceback (e.g. when executing\n module code)\n \"\"\"\n return f(*args, **kwds)\n\n\ndef _verbose_message(message, *args, verbosity=1):\n \"\"\"Print the message to stderr if -v/PYTHONVERBOSE is turned on.\"\"\"\n if sys.flags.verbose >= verbosity:\n if not message.startswith(('#', 'import ')):\n message = '# ' + message\n print(message.format(*args), file=sys.stderr)\n\n\ndef _requires_builtin(fxn):\n \"\"\"Decorator to verify the named module is built-in.\"\"\"\n def _requires_builtin_wrapper(self, fullname):\n if fullname not in sys.builtin_module_names:\n raise ImportError(f'{fullname!r} is not a built-in module',\n name=fullname)\n return fxn(self, fullname)\n _wrap(_requires_builtin_wrapper, fxn)\n return _requires_builtin_wrapper\n\n\ndef _requires_frozen(fxn):\n \"\"\"Decorator to verify the named module is frozen.\"\"\"\n def _requires_frozen_wrapper(self, fullname):\n if not _imp.is_frozen(fullname):\n raise ImportError(f'{fullname!r} is not a frozen module',\n name=fullname)\n return fxn(self, fullname)\n _wrap(_requires_frozen_wrapper, fxn)\n return _requires_frozen_wrapper\n\n\n# Typically used by loader classes as a method replacement.\ndef _load_module_shim(self, fullname):\n \"\"\"Load the specified module into sys.modules and return it.\n\n This method is deprecated. Use loader.exec_module() instead.\n\n \"\"\"\n msg = (\"the load_module() method is deprecated and slated for removal in \"\n \"Python 3.12; use exec_module() instead\")\n _warnings.warn(msg, DeprecationWarning)\n spec = spec_from_loader(fullname, self)\n if fullname in sys.modules:\n module = sys.modules[fullname]\n _exec(spec, module)\n return sys.modules[fullname]\n else:\n return _load(spec)\n\n# Module specifications #######################################################\n\ndef _module_repr(module):\n \"\"\"The implementation of ModuleType.__repr__().\"\"\"\n loader = getattr(module, '__loader__', None)\n if spec := getattr(module, \"__spec__\", None):\n return _module_repr_from_spec(spec)\n # Fall through to a catch-all which always succeeds.\n try:\n name = module.__name__\n except AttributeError:\n name = '?'\n try:\n filename = module.__file__\n except AttributeError:\n if loader is None:\n return f''\n else:\n return f''\n else:\n return f''\n\n\nclass ModuleSpec:\n \"\"\"The specification for a module, used for loading.\n\n A module's spec is the source for information about the module. For\n data associated with the module, including source, use the spec's\n loader.\n\n `name` is the absolute name of the module. `loader` is the loader\n to use when loading the module. `parent` is the name of the\n package the module is in. The parent is derived from the name.\n\n `is_package` determines if the module is considered a package or\n not. On modules this is reflected by the `__path__` attribute.\n\n `origin` is the specific location used by the loader from which to\n load the module, if that information is available. When filename is\n set, origin will match.\n\n `has_location` indicates that a spec's \"origin\" reflects a location.\n When this is True, `__file__` attribute of the module is set.\n\n `cached` is the location of the cached bytecode file, if any. It\n corresponds to the `__cached__` attribute.\n\n `submodule_search_locations` is the sequence of path entries to\n search when importing submodules. If set, is_package should be\n True--and False otherwise.\n\n Packages are simply modules that (may) have submodules. If a spec\n has a non-None value in `submodule_search_locations`, the import\n system will consider modules loaded from the spec as packages.\n\n Only finders (see importlib.abc.MetaPathFinder and\n importlib.abc.PathEntryFinder) should modify ModuleSpec instances.\n\n \"\"\"\n\n def __init__(self, name, loader, *, origin=None, loader_state=None,\n is_package=None):\n self.name = name\n self.loader = loader\n self.origin = origin\n self.loader_state = loader_state\n self.submodule_search_locations = [] if is_package else None\n self._uninitialized_submodules = []\n\n # file-location attributes\n self._set_fileattr = False\n self._cached = None\n\n def __repr__(self):\n args = [f'name={self.name!r}', f'loader={self.loader!r}']\n if self.origin is not None:\n args.append(f'origin={self.origin!r}')\n if self.submodule_search_locations is not None:\n args.append(f'submodule_search_locations={self.submodule_search_locations}')\n return f'{self.__class__.__name__}({\", \".join(args)})'\n\n def __eq__(self, other):\n smsl = self.submodule_search_locations\n try:\n return (self.name == other.name and\n self.loader == other.loader and\n self.origin == other.origin and\n smsl == other.submodule_search_locations and\n self.cached == other.cached and\n self.has_location == other.has_location)\n except AttributeError:\n return NotImplemented\n\n @property\n def cached(self):\n if self._cached is None:\n if self.origin is not None and self._set_fileattr:\n if _bootstrap_external is None:\n raise NotImplementedError\n self._cached = _bootstrap_external._get_cached(self.origin)\n return self._cached\n\n @cached.setter\n def cached(self, cached):\n self._cached = cached\n\n @property\n def parent(self):\n \"\"\"The name of the module's parent.\"\"\"\n if self.submodule_search_locations is None:\n return self.name.rpartition('.')[0]\n else:\n return self.name\n\n @property\n def has_location(self):\n return self._set_fileattr\n\n @has_location.setter\n def has_location(self, value):\n self._set_fileattr = bool(value)\n\n\ndef spec_from_loader(name, loader, *, origin=None, is_package=None):\n \"\"\"Return a module spec based on various loader methods.\"\"\"\n if origin is None:\n origin = getattr(loader, '_ORIGIN', None)\n\n if not origin and hasattr(loader, 'get_filename'):\n if _bootstrap_external is None:\n raise NotImplementedError\n spec_from_file_location = _bootstrap_external.spec_from_file_location\n\n if is_package is None:\n return spec_from_file_location(name, loader=loader)\n search = [] if is_package else None\n return spec_from_file_location(name, loader=loader,\n submodule_search_locations=search)\n\n if is_package is None:\n if hasattr(loader, 'is_package'):\n try:\n is_package = loader.is_package(name)\n except ImportError:\n is_package = None # aka, undefined\n else:\n # the default\n is_package = False\n\n return ModuleSpec(name, loader, origin=origin, is_package=is_package)\n\n\ndef _spec_from_module(module, loader=None, origin=None):\n # This function is meant for use in _setup().\n try:\n spec = module.__spec__\n except AttributeError:\n pass\n else:\n if spec is not None:\n return spec\n\n name = module.__name__\n if loader is None:\n try:\n loader = module.__loader__\n except AttributeError:\n # loader will stay None.\n pass\n try:\n location = module.__file__\n except AttributeError:\n location = None\n if origin is None:\n if loader is not None:\n origin = getattr(loader, '_ORIGIN', None)\n if not origin and location is not None:\n origin = location\n try:\n cached = module.__cached__\n except AttributeError:\n cached = None\n try:\n submodule_search_locations = list(module.__path__)\n except AttributeError:\n submodule_search_locations = None\n\n spec = ModuleSpec(name, loader, origin=origin)\n spec._set_fileattr = False if location is None else (origin == location)\n spec.cached = cached\n spec.submodule_search_locations = submodule_search_locations\n return spec\n\n\ndef _init_module_attrs(spec, module, *, override=False):\n # The passed-in module may be not support attribute assignment,\n # in which case we simply don't set the attributes.\n # __name__\n if (override or getattr(module, '__name__', None) is None):\n try:\n module.__name__ = spec.name\n except AttributeError:\n pass\n # __loader__\n if override or getattr(module, '__loader__', None) is None:\n loader = spec.loader\n if loader is None:\n # A backward compatibility hack.\n if spec.submodule_search_locations is not None:\n if _bootstrap_external is None:\n raise NotImplementedError\n NamespaceLoader = _bootstrap_external.NamespaceLoader\n\n loader = NamespaceLoader.__new__(NamespaceLoader)\n loader._path = spec.submodule_search_locations\n spec.loader = loader\n # While the docs say that module.__file__ is not set for\n # built-in modules, and the code below will avoid setting it if\n # spec.has_location is false, this is incorrect for namespace\n # packages. Namespace packages have no location, but their\n # __spec__.origin is None, and thus their module.__file__\n # should also be None for consistency. While a bit of a hack,\n # this is the best place to ensure this consistency.\n #\n # See # https://docs.python.org/3/library/importlib.html#importlib.abc.Loader.load_module\n # and bpo-32305\n module.__file__ = None\n try:\n module.__loader__ = loader\n except AttributeError:\n pass\n # __package__\n if override or getattr(module, '__package__', None) is None:\n try:\n module.__package__ = spec.parent\n except AttributeError:\n pass\n # __spec__\n try:\n module.__spec__ = spec\n except AttributeError:\n pass\n # __path__\n if override or getattr(module, '__path__', None) is None:\n if spec.submodule_search_locations is not None:\n # XXX We should extend __path__ if it's already a list.\n try:\n module.__path__ = spec.submodule_search_locations\n except AttributeError:\n pass\n # __file__/__cached__\n if spec.has_location:\n if override or getattr(module, '__file__', None) is None:\n try:\n module.__file__ = spec.origin\n except AttributeError:\n pass\n\n if override or getattr(module, '__cached__', None) is None:\n if spec.cached is not None:\n try:\n module.__cached__ = spec.cached\n except AttributeError:\n pass\n return module\n\n\ndef module_from_spec(spec):\n \"\"\"Create a module based on the provided spec.\"\"\"\n # Typically loaders will not implement create_module().\n module = None\n if hasattr(spec.loader, 'create_module'):\n # If create_module() returns `None` then it means default\n # module creation should be used.\n module = spec.loader.create_module(spec)\n elif hasattr(spec.loader, 'exec_module'):\n raise ImportError('loaders that define exec_module() '\n 'must also define create_module()')\n if module is None:\n module = _new_module(spec.name)\n _init_module_attrs(spec, module)\n return module\n\n\ndef _module_repr_from_spec(spec):\n \"\"\"Return the repr to use for the module.\"\"\"\n name = '?' if spec.name is None else spec.name\n if spec.origin is None:\n loader = spec.loader\n if loader is None:\n return f''\n elif (\n _bootstrap_external is not None\n and isinstance(loader, _bootstrap_external.NamespaceLoader)\n ):\n return f''\n else:\n return f''\n else:\n if spec.has_location:\n return f''\n else:\n return f''\n\n\n# Used by importlib.reload() and _load_module_shim().\ndef _exec(spec, module):\n \"\"\"Execute the spec's specified module in an existing module's namespace.\"\"\"\n name = spec.name\n with _ModuleLockManager(name):\n if sys.modules.get(name) is not module:\n msg = f'module {name!r} not in sys.modules'\n raise ImportError(msg, name=name)\n try:\n if spec.loader is None:\n if spec.submodule_search_locations is None:\n raise ImportError('missing loader', name=spec.name)\n # Namespace package.\n _init_module_attrs(spec, module, override=True)\n else:\n _init_module_attrs(spec, module, override=True)\n if not hasattr(spec.loader, 'exec_module'):\n msg = (f\"{_object_name(spec.loader)}.exec_module() not found; \"\n \"falling back to load_module()\")\n _warnings.warn(msg, ImportWarning)\n spec.loader.load_module(name)\n else:\n spec.loader.exec_module(module)\n finally:\n # Update the order of insertion into sys.modules for module\n # clean-up at shutdown.\n module = sys.modules.pop(spec.name)\n sys.modules[spec.name] = module\n return module\n\n\ndef _load_backward_compatible(spec):\n # It is assumed that all callers have been warned about using load_module()\n # appropriately before calling this function.\n try:\n spec.loader.load_module(spec.name)\n except:\n if spec.name in sys.modules:\n module = sys.modules.pop(spec.name)\n sys.modules[spec.name] = module\n raise\n # The module must be in sys.modules at this point!\n # Move it to the end of sys.modules.\n module = sys.modules.pop(spec.name)\n sys.modules[spec.name] = module\n if getattr(module, '__loader__', None) is None:\n try:\n module.__loader__ = spec.loader\n except AttributeError:\n pass\n if getattr(module, '__package__', None) is None:\n try:\n # Since module.__path__ may not line up with\n # spec.submodule_search_paths, we can't necessarily rely\n # on spec.parent here.\n module.__package__ = module.__name__\n if not hasattr(module, '__path__'):\n module.__package__ = spec.name.rpartition('.')[0]\n except AttributeError:\n pass\n if getattr(module, '__spec__', None) is None:\n try:\n module.__spec__ = spec\n except AttributeError:\n pass\n return module\n\ndef _load_unlocked(spec):\n # A helper for direct use by the import system.\n if spec.loader is not None:\n # Not a namespace package.\n if not hasattr(spec.loader, 'exec_module'):\n msg = (f\"{_object_name(spec.loader)}.exec_module() not found; \"\n \"falling back to load_module()\")\n _warnings.warn(msg, ImportWarning)\n return _load_backward_compatible(spec)\n\n module = module_from_spec(spec)\n\n # This must be done before putting the module in sys.modules\n # (otherwise an optimization shortcut in import.c becomes\n # wrong).\n spec._initializing = True\n try:\n sys.modules[spec.name] = module\n try:\n if spec.loader is None:\n if spec.submodule_search_locations is None:\n raise ImportError('missing loader', name=spec.name)\n # A namespace package so do nothing.\n else:\n spec.loader.exec_module(module)\n except:\n try:\n del sys.modules[spec.name]\n except KeyError:\n pass\n raise\n # Move the module to the end of sys.modules.\n # We don't ensure that the import-related module attributes get\n # set in the sys.modules replacement case. Such modules are on\n # their own.\n module = sys.modules.pop(spec.name)\n sys.modules[spec.name] = module\n _verbose_message('import {!r} # {!r}', spec.name, spec.loader)\n finally:\n spec._initializing = False\n\n return module\n\n# A method used during testing of _load_unlocked() and by\n# _load_module_shim().\ndef _load(spec):\n \"\"\"Return a new module object, loaded by the spec's loader.\n\n The module is not added to its parent.\n\n If a module is already in sys.modules, that existing module gets\n clobbered.\n\n \"\"\"\n with _ModuleLockManager(spec.name):\n return _load_unlocked(spec)\n\n\n# Loaders #####################################################################\n\nclass BuiltinImporter:\n\n \"\"\"Meta path import for built-in modules.\n\n All methods are either class or static methods to avoid the need to\n instantiate the class.\n\n \"\"\"\n\n _ORIGIN = \"built-in\"\n\n @classmethod\n def find_spec(cls, fullname, path=None, target=None):\n if _imp.is_builtin(fullname):\n return spec_from_loader(fullname, cls, origin=cls._ORIGIN)\n else:\n return None\n\n @staticmethod\n def create_module(spec):\n \"\"\"Create a built-in module\"\"\"\n if spec.name not in sys.builtin_module_names:\n raise ImportError(f'{spec.name!r} is not a built-in module',\n name=spec.name)\n return _call_with_frames_removed(_imp.create_builtin, spec)\n\n @staticmethod\n def exec_module(module):\n \"\"\"Exec a built-in module\"\"\"\n _call_with_frames_removed(_imp.exec_builtin, module)\n\n @classmethod\n @_requires_builtin\n def get_code(cls, fullname):\n \"\"\"Return None as built-in modules do not have code objects.\"\"\"\n return None\n\n @classmethod\n @_requires_builtin\n def get_source(cls, fullname):\n \"\"\"Return None as built-in modules do not have source code.\"\"\"\n return None\n\n @classmethod\n @_requires_builtin\n def is_package(cls, fullname):\n \"\"\"Return False as built-in modules are never packages.\"\"\"\n return False\n\n load_module = classmethod(_load_module_shim)\n\n\nclass FrozenImporter:\n\n \"\"\"Meta path import for frozen modules.\n\n All methods are either class or static methods to avoid the need to\n instantiate the class.\n\n \"\"\"\n\n _ORIGIN = \"frozen\"\n\n @classmethod\n def _fix_up_module(cls, module):\n spec = module.__spec__\n state = spec.loader_state\n if state is None:\n # The module is missing FrozenImporter-specific values.\n\n # Fix up the spec attrs.\n origname = vars(module).pop('__origname__', None)\n assert origname, 'see PyImport_ImportFrozenModuleObject()'\n ispkg = hasattr(module, '__path__')\n assert _imp.is_frozen_package(module.__name__) == ispkg, ispkg\n filename, pkgdir = cls._resolve_filename(origname, spec.name, ispkg)\n spec.loader_state = type(sys.implementation)(\n filename=filename,\n origname=origname,\n )\n __path__ = spec.submodule_search_locations\n if ispkg:\n assert __path__ == [], __path__\n if pkgdir:\n spec.submodule_search_locations.insert(0, pkgdir)\n else:\n assert __path__ is None, __path__\n\n # Fix up the module attrs (the bare minimum).\n assert not hasattr(module, '__file__'), module.__file__\n if filename:\n try:\n module.__file__ = filename\n except AttributeError:\n pass\n if ispkg:\n if module.__path__ != __path__:\n assert module.__path__ == [], module.__path__\n module.__path__.extend(__path__)\n else:\n # These checks ensure that _fix_up_module() is only called\n # in the right places.\n __path__ = spec.submodule_search_locations\n ispkg = __path__ is not None\n # Check the loader state.\n assert sorted(vars(state)) == ['filename', 'origname'], state\n if state.origname:\n # The only frozen modules with \"origname\" set are stdlib modules.\n (__file__, pkgdir,\n ) = cls._resolve_filename(state.origname, spec.name, ispkg)\n assert state.filename == __file__, (state.filename, __file__)\n if pkgdir:\n assert __path__ == [pkgdir], (__path__, pkgdir)\n else:\n assert __path__ == ([] if ispkg else None), __path__\n else:\n __file__ = None\n assert state.filename is None, state.filename\n assert __path__ == ([] if ispkg else None), __path__\n # Check the file attrs.\n if __file__:\n assert hasattr(module, '__file__')\n assert module.__file__ == __file__, (module.__file__, __file__)\n else:\n assert not hasattr(module, '__file__'), module.__file__\n if ispkg:\n assert hasattr(module, '__path__')\n assert module.__path__ == __path__, (module.__path__, __path__)\n else:\n assert not hasattr(module, '__path__'), module.__path__\n assert not spec.has_location\n\n @classmethod\n def _resolve_filename(cls, fullname, alias=None, ispkg=False):\n if not fullname or not getattr(sys, '_stdlib_dir', None):\n return None, None\n try:\n sep = cls._SEP\n except AttributeError:\n sep = cls._SEP = '\\\\' if sys.platform == 'win32' else '/'\n\n if fullname != alias:\n if fullname.startswith('<'):\n fullname = fullname[1:]\n if not ispkg:\n fullname = f'{fullname}.__init__'\n else:\n ispkg = False\n relfile = fullname.replace('.', sep)\n if ispkg:\n pkgdir = f'{sys._stdlib_dir}{sep}{relfile}'\n filename = f'{pkgdir}{sep}__init__.py'\n else:\n pkgdir = None\n filename = f'{sys._stdlib_dir}{sep}{relfile}.py'\n return filename, pkgdir\n\n @classmethod\n def find_spec(cls, fullname, path=None, target=None):\n info = _call_with_frames_removed(_imp.find_frozen, fullname)\n if info is None:\n return None\n # We get the marshaled data in exec_module() (the loader\n # part of the importer), instead of here (the finder part).\n # The loader is the usual place to get the data that will\n # be loaded into the module. (For example, see _LoaderBasics\n # in _bootstra_external.py.) Most importantly, this importer\n # is simpler if we wait to get the data.\n # However, getting as much data in the finder as possible\n # to later load the module is okay, and sometimes important.\n # (That's why ModuleSpec.loader_state exists.) This is\n # especially true if it avoids throwing away expensive data\n # the loader would otherwise duplicate later and can be done\n # efficiently. In this case it isn't worth it.\n _, ispkg, origname = info\n spec = spec_from_loader(fullname, cls,\n origin=cls._ORIGIN,\n is_package=ispkg)\n filename, pkgdir = cls._resolve_filename(origname, fullname, ispkg)\n spec.loader_state = type(sys.implementation)(\n filename=filename,\n origname=origname,\n )\n if pkgdir:\n spec.submodule_search_locations.insert(0, pkgdir)\n return spec\n\n @staticmethod\n def create_module(spec):\n \"\"\"Set __file__, if able.\"\"\"\n module = _new_module(spec.name)\n try:\n filename = spec.loader_state.filename\n except AttributeError:\n pass\n else:\n if filename:\n module.__file__ = filename\n return module\n\n @staticmethod\n def exec_module(module):\n spec = module.__spec__\n name = spec.name\n code = _call_with_frames_removed(_imp.get_frozen_object, name)\n exec(code, module.__dict__)\n\n @classmethod\n def load_module(cls, fullname):\n \"\"\"Load a frozen module.\n\n This method is deprecated. Use exec_module() instead.\n\n \"\"\"\n # Warning about deprecation implemented in _load_module_shim().\n module = _load_module_shim(cls, fullname)\n info = _imp.find_frozen(fullname)\n assert info is not None\n _, ispkg, origname = info\n module.__origname__ = origname\n vars(module).pop('__file__', None)\n if ispkg:\n module.__path__ = []\n cls._fix_up_module(module)\n return module\n\n @classmethod\n @_requires_frozen\n def get_code(cls, fullname):\n \"\"\"Return the code object for the frozen module.\"\"\"\n return _imp.get_frozen_object(fullname)\n\n @classmethod\n @_requires_frozen\n def get_source(cls, fullname):\n \"\"\"Return None as frozen modules do not have source code.\"\"\"\n return None\n\n @classmethod\n @_requires_frozen\n def is_package(cls, fullname):\n \"\"\"Return True if the frozen module is a package.\"\"\"\n return _imp.is_frozen_package(fullname)\n\n\n# Import itself ###############################################################\n\nclass _ImportLockContext:\n\n \"\"\"Context manager for the import lock.\"\"\"\n\n def __enter__(self):\n \"\"\"Acquire the import lock.\"\"\"\n _imp.acquire_lock()\n\n def __exit__(self, exc_type, exc_value, exc_traceback):\n \"\"\"Release the import lock regardless of any raised exceptions.\"\"\"\n _imp.release_lock()\n\n\ndef _resolve_name(name, package, level):\n \"\"\"Resolve a relative module name to an absolute one.\"\"\"\n bits = package.rsplit('.', level - 1)\n if len(bits) < level:\n raise ImportError('attempted relative import beyond top-level package')\n base = bits[0]\n return f'{base}.{name}' if name else base\n\n\ndef _find_spec(name, path, target=None):\n \"\"\"Find a module's spec.\"\"\"\n meta_path = sys.meta_path\n if meta_path is None:\n # PyImport_Cleanup() is running or has been called.\n raise ImportError(\"sys.meta_path is None, Python is likely \"\n \"shutting down\")\n\n if not meta_path:\n _warnings.warn('sys.meta_path is empty', ImportWarning)\n\n # We check sys.modules here for the reload case. While a passed-in\n # target will usually indicate a reload there is no guarantee, whereas\n # sys.modules provides one.\n is_reload = name in sys.modules\n for finder in meta_path:\n with _ImportLockContext():\n try:\n find_spec = finder.find_spec\n except AttributeError:\n continue\n else:\n spec = find_spec(name, path, target)\n if spec is not None:\n # The parent import may have already imported this module.\n if not is_reload and name in sys.modules:\n module = sys.modules[name]\n try:\n __spec__ = module.__spec__\n except AttributeError:\n # We use the found spec since that is the one that\n # we would have used if the parent module hadn't\n # beaten us to the punch.\n return spec\n else:\n if __spec__ is None:\n return spec\n else:\n return __spec__\n else:\n return spec\n else:\n return None\n\n\ndef _sanity_check(name, package, level):\n \"\"\"Verify arguments are \"sane\".\"\"\"\n if not isinstance(name, str):\n raise TypeError(f'module name must be str, not {type(name)}')\n if level < 0:\n raise ValueError('level must be >= 0')\n if level > 0:\n if not isinstance(package, str):\n raise TypeError('__package__ not set to a string')\n elif not package:\n raise ImportError('attempted relative import with no known parent '\n 'package')\n if not name and level == 0:\n raise ValueError('Empty module name')\n\n\n_ERR_MSG_PREFIX = 'No module named '\n_ERR_MSG = _ERR_MSG_PREFIX + '{!r}'\n\ndef _find_and_load_unlocked(name, import_):\n path = None\n parent = name.rpartition('.')[0]\n parent_spec = None\n if parent:\n if parent not in sys.modules:\n _call_with_frames_removed(import_, parent)\n # Crazy side-effects!\n if name in sys.modules:\n return sys.modules[name]\n parent_module = sys.modules[parent]\n try:\n path = parent_module.__path__\n except AttributeError:\n msg = f'{_ERR_MSG_PREFIX}{name!r}; {parent!r} is not a package'\n raise ModuleNotFoundError(msg, name=name) from None\n parent_spec = parent_module.__spec__\n child = name.rpartition('.')[2]\n spec = _find_spec(name, path)\n if spec is None:\n raise ModuleNotFoundError(f'{_ERR_MSG_PREFIX}{name!r}', name=name)\n else:\n if parent_spec:\n # Temporarily add child we are currently importing to parent's\n # _uninitialized_submodules for circular import tracking.\n parent_spec._uninitialized_submodules.append(child)\n try:\n module = _load_unlocked(spec)\n finally:\n if parent_spec:\n parent_spec._uninitialized_submodules.pop()\n if parent:\n # Set the module as an attribute on its parent.\n parent_module = sys.modules[parent]\n try:\n setattr(parent_module, child, module)\n except AttributeError:\n msg = f\"Cannot set an attribute on {parent!r} for child module {child!r}\"\n _warnings.warn(msg, ImportWarning)\n return module\n\n\n_NEEDS_LOADING = object()\n\n\ndef _find_and_load(name, import_):\n \"\"\"Find and load the module.\"\"\"\n\n # Optimization: we avoid unneeded module locking if the module\n # already exists in sys.modules and is fully initialized.\n module = sys.modules.get(name, _NEEDS_LOADING)\n if (module is _NEEDS_LOADING or\n getattr(getattr(module, \"__spec__\", None), \"_initializing\", False)):\n with _ModuleLockManager(name):\n module = sys.modules.get(name, _NEEDS_LOADING)\n if module is _NEEDS_LOADING:\n return _find_and_load_unlocked(name, import_)\n\n # Optimization: only call _bootstrap._lock_unlock_module() if\n # module.__spec__._initializing is True.\n # NOTE: because of this, initializing must be set *before*\n # putting the new module in sys.modules.\n _lock_unlock_module(name)\n\n if module is None:\n message = f'import of {name} halted; None in sys.modules'\n raise ModuleNotFoundError(message, name=name)\n\n return module\n\n\ndef _gcd_import(name, package=None, level=0):\n \"\"\"Import and return the module based on its name, the package the call is\n being made from, and the level adjustment.\n\n This function represents the greatest common denominator of functionality\n between import_module and __import__. This includes setting __package__ if\n the loader did not.\n\n \"\"\"\n _sanity_check(name, package, level)\n if level > 0:\n name = _resolve_name(name, package, level)\n return _find_and_load(name, _gcd_import)\n\n\ndef _handle_fromlist(module, fromlist, import_, *, recursive=False):\n \"\"\"Figure out what __import__ should return.\n\n The import_ parameter is a callable which takes the name of module to\n import. It is required to decouple the function from assuming importlib's\n import implementation is desired.\n\n \"\"\"\n # The hell that is fromlist ...\n # If a package was imported, try to import stuff from fromlist.\n for x in fromlist:\n if not isinstance(x, str):\n if recursive:\n where = module.__name__ + '.__all__'\n else:\n where = \"``from list''\"\n raise TypeError(f\"Item in {where} must be str, \"\n f\"not {type(x).__name__}\")\n elif x == '*':\n if not recursive and hasattr(module, '__all__'):\n _handle_fromlist(module, module.__all__, import_,\n recursive=True)\n elif not hasattr(module, x):\n from_name = f'{module.__name__}.{x}'\n try:\n _call_with_frames_removed(import_, from_name)\n except ModuleNotFoundError as exc:\n # Backwards-compatibility dictates we ignore failed\n # imports triggered by fromlist for modules that don't\n # exist.\n if (exc.name == from_name and\n sys.modules.get(from_name, _NEEDS_LOADING) is not None):\n continue\n raise\n return module\n\n\ndef _calc___package__(globals):\n \"\"\"Calculate what __package__ should be.\n\n __package__ is not guaranteed to be defined or could be set to None\n to represent that its proper value is unknown.\n\n \"\"\"\n package = globals.get('__package__')\n spec = globals.get('__spec__')\n if package is not None:\n if spec is not None and package != spec.parent:\n _warnings.warn(\"__package__ != __spec__.parent \"\n f\"({package!r} != {spec.parent!r})\",\n DeprecationWarning, stacklevel=3)\n return package\n elif spec is not None:\n return spec.parent\n else:\n _warnings.warn(\"can't resolve package from __spec__ or __package__, \"\n \"falling back on __name__ and __path__\",\n ImportWarning, stacklevel=3)\n package = globals['__name__']\n if '__path__' not in globals:\n package = package.rpartition('.')[0]\n return package\n\n\ndef __import__(name, globals=None, locals=None, fromlist=(), level=0):\n \"\"\"Import a module.\n\n The 'globals' argument is used to infer where the import is occurring from\n to handle relative imports. The 'locals' argument is ignored. The\n 'fromlist' argument specifies what should exist as attributes on the module\n being imported (e.g. ``from module import ``). The 'level'\n argument represents the package location to import from in a relative\n import (e.g. ``from ..pkg import mod`` would have a 'level' of 2).\n\n \"\"\"\n if level == 0:\n module = _gcd_import(name)\n else:\n globals_ = globals if globals is not None else {}\n package = _calc___package__(globals_)\n module = _gcd_import(name, package, level)\n if not fromlist:\n # Return up to the first dot in 'name'. This is complicated by the fact\n # that 'name' may be relative.\n if level == 0:\n return _gcd_import(name.partition('.')[0])\n elif not name:\n return module\n else:\n # Figure out where to slice the module's name up to the first dot\n # in 'name'.\n cut_off = len(name) - len(name.partition('.')[0])\n # Slice end needs to be positive to alleviate need to special-case\n # when ``'.' not in name``.\n return sys.modules[module.__name__[:len(module.__name__)-cut_off]]\n elif hasattr(module, '__path__'):\n return _handle_fromlist(module, fromlist, _gcd_import)\n else:\n return module\n\n\ndef _builtin_from_name(name):\n spec = BuiltinImporter.find_spec(name)\n if spec is None:\n raise ImportError('no built-in module named ' + name)\n return _load_unlocked(spec)\n\n\ndef _setup(sys_module, _imp_module):\n \"\"\"Setup importlib by importing needed built-in modules and injecting them\n into the global namespace.\n\n As sys is needed for sys.modules access and _imp is needed to load built-in\n modules, those two modules must be explicitly passed in.\n\n \"\"\"\n global _imp, sys, _blocking_on\n _imp = _imp_module\n sys = sys_module\n\n # Set up the spec for existing builtin/frozen modules.\n module_type = type(sys)\n for name, module in sys.modules.items():\n if isinstance(module, module_type):\n if name in sys.builtin_module_names:\n loader = BuiltinImporter\n elif _imp.is_frozen(name):\n loader = FrozenImporter\n else:\n continue\n spec = _spec_from_module(module, loader)\n _init_module_attrs(spec, module)\n if loader is FrozenImporter:\n loader._fix_up_module(module)\n\n # Directly load built-in modules needed during bootstrap.\n self_module = sys.modules[__name__]\n for builtin_name in ('_thread', '_warnings', '_weakref'):\n if builtin_name not in sys.modules:\n builtin_module = _builtin_from_name(builtin_name)\n else:\n builtin_module = sys.modules[builtin_name]\n setattr(self_module, builtin_name, builtin_module)\n\n # Instantiation requires _weakref to have been set.\n _blocking_on = _WeakValueDictionary()\n\n\ndef _install(sys_module, _imp_module):\n \"\"\"Install importers for builtin and frozen modules\"\"\"\n _setup(sys_module, _imp_module)\n\n sys.meta_path.append(BuiltinImporter)\n sys.meta_path.append(FrozenImporter)\n\n\ndef _install_external_importers():\n \"\"\"Install importers that require external filesystem access\"\"\"\n global _bootstrap_external\n import _frozen_importlib_external\n _bootstrap_external = _frozen_importlib_external\n _frozen_importlib_external._install(sys.modules[__name__])\n", 1551], "/usr/lib/python3.12/asyncio/events.py": ["\"\"\"Event loop and event loop policy.\"\"\"\n\n# Contains code from https://github.com/MagicStack/uvloop/tree/v0.16.0\n# SPDX-License-Identifier: PSF-2.0 AND (MIT OR Apache-2.0)\n# SPDX-FileCopyrightText: Copyright (c) 2015-2021 MagicStack Inc. http://magic.io\n\n__all__ = (\n 'AbstractEventLoopPolicy',\n 'AbstractEventLoop', 'AbstractServer',\n 'Handle', 'TimerHandle',\n 'get_event_loop_policy', 'set_event_loop_policy',\n 'get_event_loop', 'set_event_loop', 'new_event_loop',\n 'get_child_watcher', 'set_child_watcher',\n '_set_running_loop', 'get_running_loop',\n '_get_running_loop',\n)\n\nimport contextvars\nimport os\nimport signal\nimport socket\nimport subprocess\nimport sys\nimport threading\n\nfrom . import format_helpers\n\n\nclass Handle:\n \"\"\"Object returned by callback registration methods.\"\"\"\n\n __slots__ = ('_callback', '_args', '_cancelled', '_loop',\n '_source_traceback', '_repr', '__weakref__',\n '_context')\n\n def __init__(self, callback, args, loop, context=None):\n if context is None:\n context = contextvars.copy_context()\n self._context = context\n self._loop = loop\n self._callback = callback\n self._args = args\n self._cancelled = False\n self._repr = None\n if self._loop.get_debug():\n self._source_traceback = format_helpers.extract_stack(\n sys._getframe(1))\n else:\n self._source_traceback = None\n\n def _repr_info(self):\n info = [self.__class__.__name__]\n if self._cancelled:\n info.append('cancelled')\n if self._callback is not None:\n info.append(format_helpers._format_callback_source(\n self._callback, self._args))\n if self._source_traceback:\n frame = self._source_traceback[-1]\n info.append(f'created at {frame[0]}:{frame[1]}')\n return info\n\n def __repr__(self):\n if self._repr is not None:\n return self._repr\n info = self._repr_info()\n return '<{}>'.format(' '.join(info))\n\n def get_context(self):\n return self._context\n\n def cancel(self):\n if not self._cancelled:\n self._cancelled = True\n if self._loop.get_debug():\n # Keep a representation in debug mode to keep callback and\n # parameters. For example, to log the warning\n # \"Executing took 2.5 second\"\n self._repr = repr(self)\n self._callback = None\n self._args = None\n\n def cancelled(self):\n return self._cancelled\n\n def _run(self):\n try:\n self._context.run(self._callback, *self._args)\n except (SystemExit, KeyboardInterrupt):\n raise\n except BaseException as exc:\n cb = format_helpers._format_callback_source(\n self._callback, self._args)\n msg = f'Exception in callback {cb}'\n context = {\n 'message': msg,\n 'exception': exc,\n 'handle': self,\n }\n if self._source_traceback:\n context['source_traceback'] = self._source_traceback\n self._loop.call_exception_handler(context)\n self = None # Needed to break cycles when an exception occurs.\n\n\nclass TimerHandle(Handle):\n \"\"\"Object returned by timed callback registration methods.\"\"\"\n\n __slots__ = ['_scheduled', '_when']\n\n def __init__(self, when, callback, args, loop, context=None):\n super().__init__(callback, args, loop, context)\n if self._source_traceback:\n del self._source_traceback[-1]\n self._when = when\n self._scheduled = False\n\n def _repr_info(self):\n info = super()._repr_info()\n pos = 2 if self._cancelled else 1\n info.insert(pos, f'when={self._when}')\n return info\n\n def __hash__(self):\n return hash(self._when)\n\n def __lt__(self, other):\n if isinstance(other, TimerHandle):\n return self._when < other._when\n return NotImplemented\n\n def __le__(self, other):\n if isinstance(other, TimerHandle):\n return self._when < other._when or self.__eq__(other)\n return NotImplemented\n\n def __gt__(self, other):\n if isinstance(other, TimerHandle):\n return self._when > other._when\n return NotImplemented\n\n def __ge__(self, other):\n if isinstance(other, TimerHandle):\n return self._when > other._when or self.__eq__(other)\n return NotImplemented\n\n def __eq__(self, other):\n if isinstance(other, TimerHandle):\n return (self._when == other._when and\n self._callback == other._callback and\n self._args == other._args and\n self._cancelled == other._cancelled)\n return NotImplemented\n\n def cancel(self):\n if not self._cancelled:\n self._loop._timer_handle_cancelled(self)\n super().cancel()\n\n def when(self):\n \"\"\"Return a scheduled callback time.\n\n The time is an absolute timestamp, using the same time\n reference as loop.time().\n \"\"\"\n return self._when\n\n\nclass AbstractServer:\n \"\"\"Abstract server returned by create_server().\"\"\"\n\n def close(self):\n \"\"\"Stop serving. This leaves existing connections open.\"\"\"\n raise NotImplementedError\n\n def get_loop(self):\n \"\"\"Get the event loop the Server object is attached to.\"\"\"\n raise NotImplementedError\n\n def is_serving(self):\n \"\"\"Return True if the server is accepting connections.\"\"\"\n raise NotImplementedError\n\n async def start_serving(self):\n \"\"\"Start accepting connections.\n\n This method is idempotent, so it can be called when\n the server is already being serving.\n \"\"\"\n raise NotImplementedError\n\n async def serve_forever(self):\n \"\"\"Start accepting connections until the coroutine is cancelled.\n\n The server is closed when the coroutine is cancelled.\n \"\"\"\n raise NotImplementedError\n\n async def wait_closed(self):\n \"\"\"Coroutine to wait until service is closed.\"\"\"\n raise NotImplementedError\n\n async def __aenter__(self):\n return self\n\n async def __aexit__(self, *exc):\n self.close()\n await self.wait_closed()\n\n\nclass AbstractEventLoop:\n \"\"\"Abstract event loop.\"\"\"\n\n # Running and stopping the event loop.\n\n def run_forever(self):\n \"\"\"Run the event loop until stop() is called.\"\"\"\n raise NotImplementedError\n\n def run_until_complete(self, future):\n \"\"\"Run the event loop until a Future is done.\n\n Return the Future's result, or raise its exception.\n \"\"\"\n raise NotImplementedError\n\n def stop(self):\n \"\"\"Stop the event loop as soon as reasonable.\n\n Exactly how soon that is may depend on the implementation, but\n no more I/O callbacks should be scheduled.\n \"\"\"\n raise NotImplementedError\n\n def is_running(self):\n \"\"\"Return whether the event loop is currently running.\"\"\"\n raise NotImplementedError\n\n def is_closed(self):\n \"\"\"Returns True if the event loop was closed.\"\"\"\n raise NotImplementedError\n\n def close(self):\n \"\"\"Close the loop.\n\n The loop should not be running.\n\n This is idempotent and irreversible.\n\n No other methods should be called after this one.\n \"\"\"\n raise NotImplementedError\n\n async def shutdown_asyncgens(self):\n \"\"\"Shutdown all active asynchronous generators.\"\"\"\n raise NotImplementedError\n\n async def shutdown_default_executor(self):\n \"\"\"Schedule the shutdown of the default executor.\"\"\"\n raise NotImplementedError\n\n # Methods scheduling callbacks. All these return Handles.\n\n def _timer_handle_cancelled(self, handle):\n \"\"\"Notification that a TimerHandle has been cancelled.\"\"\"\n raise NotImplementedError\n\n def call_soon(self, callback, *args, context=None):\n return self.call_later(0, callback, *args, context=context)\n\n def call_later(self, delay, callback, *args, context=None):\n raise NotImplementedError\n\n def call_at(self, when, callback, *args, context=None):\n raise NotImplementedError\n\n def time(self):\n raise NotImplementedError\n\n def create_future(self):\n raise NotImplementedError\n\n # Method scheduling a coroutine object: create a task.\n\n def create_task(self, coro, *, name=None, context=None):\n raise NotImplementedError\n\n # Methods for interacting with threads.\n\n def call_soon_threadsafe(self, callback, *args, context=None):\n raise NotImplementedError\n\n def run_in_executor(self, executor, func, *args):\n raise NotImplementedError\n\n def set_default_executor(self, executor):\n raise NotImplementedError\n\n # Network I/O methods returning Futures.\n\n async def getaddrinfo(self, host, port, *,\n family=0, type=0, proto=0, flags=0):\n raise NotImplementedError\n\n async def getnameinfo(self, sockaddr, flags=0):\n raise NotImplementedError\n\n async def create_connection(\n self, protocol_factory, host=None, port=None,\n *, ssl=None, family=0, proto=0,\n flags=0, sock=None, local_addr=None,\n server_hostname=None,\n ssl_handshake_timeout=None,\n ssl_shutdown_timeout=None,\n happy_eyeballs_delay=None, interleave=None):\n raise NotImplementedError\n\n async def create_server(\n self, protocol_factory, host=None, port=None,\n *, family=socket.AF_UNSPEC,\n flags=socket.AI_PASSIVE, sock=None, backlog=100,\n ssl=None, reuse_address=None, reuse_port=None,\n ssl_handshake_timeout=None,\n ssl_shutdown_timeout=None,\n start_serving=True):\n \"\"\"A coroutine which creates a TCP server bound to host and port.\n\n The return value is a Server object which can be used to stop\n the service.\n\n If host is an empty string or None all interfaces are assumed\n and a list of multiple sockets will be returned (most likely\n one for IPv4 and another one for IPv6). The host parameter can also be\n a sequence (e.g. list) of hosts to bind to.\n\n family can be set to either AF_INET or AF_INET6 to force the\n socket to use IPv4 or IPv6. If not set it will be determined\n from host (defaults to AF_UNSPEC).\n\n flags is a bitmask for getaddrinfo().\n\n sock can optionally be specified in order to use a preexisting\n socket object.\n\n backlog is the maximum number of queued connections passed to\n listen() (defaults to 100).\n\n ssl can be set to an SSLContext to enable SSL over the\n accepted connections.\n\n reuse_address tells the kernel to reuse a local socket in\n TIME_WAIT state, without waiting for its natural timeout to\n expire. If not specified will automatically be set to True on\n UNIX.\n\n reuse_port tells the kernel to allow this endpoint to be bound to\n the same port as other existing endpoints are bound to, so long as\n they all set this flag when being created. This option is not\n supported on Windows.\n\n ssl_handshake_timeout is the time in seconds that an SSL server\n will wait for completion of the SSL handshake before aborting the\n connection. Default is 60s.\n\n ssl_shutdown_timeout is the time in seconds that an SSL server\n will wait for completion of the SSL shutdown procedure\n before aborting the connection. Default is 30s.\n\n start_serving set to True (default) causes the created server\n to start accepting connections immediately. When set to False,\n the user should await Server.start_serving() or Server.serve_forever()\n to make the server to start accepting connections.\n \"\"\"\n raise NotImplementedError\n\n async def sendfile(self, transport, file, offset=0, count=None,\n *, fallback=True):\n \"\"\"Send a file through a transport.\n\n Return an amount of sent bytes.\n \"\"\"\n raise NotImplementedError\n\n async def start_tls(self, transport, protocol, sslcontext, *,\n server_side=False,\n server_hostname=None,\n ssl_handshake_timeout=None,\n ssl_shutdown_timeout=None):\n \"\"\"Upgrade a transport to TLS.\n\n Return a new transport that *protocol* should start using\n immediately.\n \"\"\"\n raise NotImplementedError\n\n async def create_unix_connection(\n self, protocol_factory, path=None, *,\n ssl=None, sock=None,\n server_hostname=None,\n ssl_handshake_timeout=None,\n ssl_shutdown_timeout=None):\n raise NotImplementedError\n\n async def create_unix_server(\n self, protocol_factory, path=None, *,\n sock=None, backlog=100, ssl=None,\n ssl_handshake_timeout=None,\n ssl_shutdown_timeout=None,\n start_serving=True):\n \"\"\"A coroutine which creates a UNIX Domain Socket server.\n\n The return value is a Server object, which can be used to stop\n the service.\n\n path is a str, representing a file system path to bind the\n server socket to.\n\n sock can optionally be specified in order to use a preexisting\n socket object.\n\n backlog is the maximum number of queued connections passed to\n listen() (defaults to 100).\n\n ssl can be set to an SSLContext to enable SSL over the\n accepted connections.\n\n ssl_handshake_timeout is the time in seconds that an SSL server\n will wait for the SSL handshake to complete (defaults to 60s).\n\n ssl_shutdown_timeout is the time in seconds that an SSL server\n will wait for the SSL shutdown to finish (defaults to 30s).\n\n start_serving set to True (default) causes the created server\n to start accepting connections immediately. When set to False,\n the user should await Server.start_serving() or Server.serve_forever()\n to make the server to start accepting connections.\n \"\"\"\n raise NotImplementedError\n\n async def connect_accepted_socket(\n self, protocol_factory, sock,\n *, ssl=None,\n ssl_handshake_timeout=None,\n ssl_shutdown_timeout=None):\n \"\"\"Handle an accepted connection.\n\n This is used by servers that accept connections outside of\n asyncio, but use asyncio to handle connections.\n\n This method is a coroutine. When completed, the coroutine\n returns a (transport, protocol) pair.\n \"\"\"\n raise NotImplementedError\n\n async def create_datagram_endpoint(self, protocol_factory,\n local_addr=None, remote_addr=None, *,\n family=0, proto=0, flags=0,\n reuse_address=None, reuse_port=None,\n allow_broadcast=None, sock=None):\n \"\"\"A coroutine which creates a datagram endpoint.\n\n This method will try to establish the endpoint in the background.\n When successful, the coroutine returns a (transport, protocol) pair.\n\n protocol_factory must be a callable returning a protocol instance.\n\n socket family AF_INET, socket.AF_INET6 or socket.AF_UNIX depending on\n host (or family if specified), socket type SOCK_DGRAM.\n\n reuse_address tells the kernel to reuse a local socket in\n TIME_WAIT state, without waiting for its natural timeout to\n expire. If not specified it will automatically be set to True on\n UNIX.\n\n reuse_port tells the kernel to allow this endpoint to be bound to\n the same port as other existing endpoints are bound to, so long as\n they all set this flag when being created. This option is not\n supported on Windows and some UNIX's. If the\n :py:data:`~socket.SO_REUSEPORT` constant is not defined then this\n capability is unsupported.\n\n allow_broadcast tells the kernel to allow this endpoint to send\n messages to the broadcast address.\n\n sock can optionally be specified in order to use a preexisting\n socket object.\n \"\"\"\n raise NotImplementedError\n\n # Pipes and subprocesses.\n\n async def connect_read_pipe(self, protocol_factory, pipe):\n \"\"\"Register read pipe in event loop. Set the pipe to non-blocking mode.\n\n protocol_factory should instantiate object with Protocol interface.\n pipe is a file-like object.\n Return pair (transport, protocol), where transport supports the\n ReadTransport interface.\"\"\"\n # The reason to accept file-like object instead of just file descriptor\n # is: we need to own pipe and close it at transport finishing\n # Can got complicated errors if pass f.fileno(),\n # close fd in pipe transport then close f and vice versa.\n raise NotImplementedError\n\n async def connect_write_pipe(self, protocol_factory, pipe):\n \"\"\"Register write pipe in event loop.\n\n protocol_factory should instantiate object with BaseProtocol interface.\n Pipe is file-like object already switched to nonblocking.\n Return pair (transport, protocol), where transport support\n WriteTransport interface.\"\"\"\n # The reason to accept file-like object instead of just file descriptor\n # is: we need to own pipe and close it at transport finishing\n # Can got complicated errors if pass f.fileno(),\n # close fd in pipe transport then close f and vice versa.\n raise NotImplementedError\n\n async def subprocess_shell(self, protocol_factory, cmd, *,\n stdin=subprocess.PIPE,\n stdout=subprocess.PIPE,\n stderr=subprocess.PIPE,\n **kwargs):\n raise NotImplementedError\n\n async def subprocess_exec(self, protocol_factory, *args,\n stdin=subprocess.PIPE,\n stdout=subprocess.PIPE,\n stderr=subprocess.PIPE,\n **kwargs):\n raise NotImplementedError\n\n # Ready-based callback registration methods.\n # The add_*() methods return None.\n # The remove_*() methods return True if something was removed,\n # False if there was nothing to delete.\n\n def add_reader(self, fd, callback, *args):\n raise NotImplementedError\n\n def remove_reader(self, fd):\n raise NotImplementedError\n\n def add_writer(self, fd, callback, *args):\n raise NotImplementedError\n\n def remove_writer(self, fd):\n raise NotImplementedError\n\n # Completion based I/O methods returning Futures.\n\n async def sock_recv(self, sock, nbytes):\n raise NotImplementedError\n\n async def sock_recv_into(self, sock, buf):\n raise NotImplementedError\n\n async def sock_recvfrom(self, sock, bufsize):\n raise NotImplementedError\n\n async def sock_recvfrom_into(self, sock, buf, nbytes=0):\n raise NotImplementedError\n\n async def sock_sendall(self, sock, data):\n raise NotImplementedError\n\n async def sock_sendto(self, sock, data, address):\n raise NotImplementedError\n\n async def sock_connect(self, sock, address):\n raise NotImplementedError\n\n async def sock_accept(self, sock):\n raise NotImplementedError\n\n async def sock_sendfile(self, sock, file, offset=0, count=None,\n *, fallback=None):\n raise NotImplementedError\n\n # Signal handling.\n\n def add_signal_handler(self, sig, callback, *args):\n raise NotImplementedError\n\n def remove_signal_handler(self, sig):\n raise NotImplementedError\n\n # Task factory.\n\n def set_task_factory(self, factory):\n raise NotImplementedError\n\n def get_task_factory(self):\n raise NotImplementedError\n\n # Error handlers.\n\n def get_exception_handler(self):\n raise NotImplementedError\n\n def set_exception_handler(self, handler):\n raise NotImplementedError\n\n def default_exception_handler(self, context):\n raise NotImplementedError\n\n def call_exception_handler(self, context):\n raise NotImplementedError\n\n # Debug flag management.\n\n def get_debug(self):\n raise NotImplementedError\n\n def set_debug(self, enabled):\n raise NotImplementedError\n\n\nclass AbstractEventLoopPolicy:\n \"\"\"Abstract policy for accessing the event loop.\"\"\"\n\n def get_event_loop(self):\n \"\"\"Get the event loop for the current context.\n\n Returns an event loop object implementing the AbstractEventLoop interface,\n or raises an exception in case no event loop has been set for the\n current context and the current policy does not specify to create one.\n\n It should never return None.\"\"\"\n raise NotImplementedError\n\n def set_event_loop(self, loop):\n \"\"\"Set the event loop for the current context to loop.\"\"\"\n raise NotImplementedError\n\n def new_event_loop(self):\n \"\"\"Create and return a new event loop object according to this\n policy's rules. If there's need to set this loop as the event loop for\n the current context, set_event_loop must be called explicitly.\"\"\"\n raise NotImplementedError\n\n # Child processes handling (Unix only).\n\n def get_child_watcher(self):\n \"Get the watcher for child processes.\"\n raise NotImplementedError\n\n def set_child_watcher(self, watcher):\n \"\"\"Set the watcher for child processes.\"\"\"\n raise NotImplementedError\n\n\nclass BaseDefaultEventLoopPolicy(AbstractEventLoopPolicy):\n \"\"\"Default policy implementation for accessing the event loop.\n\n In this policy, each thread has its own event loop. However, we\n only automatically create an event loop by default for the main\n thread; other threads by default have no event loop.\n\n Other policies may have different rules (e.g. a single global\n event loop, or automatically creating an event loop per thread, or\n using some other notion of context to which an event loop is\n associated).\n \"\"\"\n\n _loop_factory = None\n\n class _Local(threading.local):\n _loop = None\n _set_called = False\n\n def __init__(self):\n self._local = self._Local()\n\n def get_event_loop(self):\n \"\"\"Get the event loop for the current context.\n\n Returns an instance of EventLoop or raises an exception.\n \"\"\"\n if (self._local._loop is None and\n not self._local._set_called and\n threading.current_thread() is threading.main_thread()):\n stacklevel = 2\n try:\n f = sys._getframe(1)\n except AttributeError:\n pass\n else:\n # Move up the call stack so that the warning is attached\n # to the line outside asyncio itself.\n while f:\n module = f.f_globals.get('__name__')\n if not (module == 'asyncio' or module.startswith('asyncio.')):\n break\n f = f.f_back\n stacklevel += 1\n import warnings\n warnings.warn('There is no current event loop',\n DeprecationWarning, stacklevel=stacklevel)\n self.set_event_loop(self.new_event_loop())\n\n if self._local._loop is None:\n raise RuntimeError('There is no current event loop in thread %r.'\n % threading.current_thread().name)\n\n return self._local._loop\n\n def set_event_loop(self, loop):\n \"\"\"Set the event loop.\"\"\"\n self._local._set_called = True\n if loop is not None and not isinstance(loop, AbstractEventLoop):\n raise TypeError(f\"loop must be an instance of AbstractEventLoop or None, not '{type(loop).__name__}'\")\n self._local._loop = loop\n\n def new_event_loop(self):\n \"\"\"Create a new event loop.\n\n You must call set_event_loop() to make this the current event\n loop.\n \"\"\"\n return self._loop_factory()\n\n\n# Event loop policy. The policy itself is always global, even if the\n# policy's rules say that there is an event loop per thread (or other\n# notion of context). The default policy is installed by the first\n# call to get_event_loop_policy().\n_event_loop_policy = None\n\n# Lock for protecting the on-the-fly creation of the event loop policy.\n_lock = threading.Lock()\n\n\n# A TLS for the running event loop, used by _get_running_loop.\nclass _RunningLoop(threading.local):\n loop_pid = (None, None)\n\n\n_running_loop = _RunningLoop()\n\n\ndef get_running_loop():\n \"\"\"Return the running event loop. Raise a RuntimeError if there is none.\n\n This function is thread-specific.\n \"\"\"\n # NOTE: this function is implemented in C (see _asynciomodule.c)\n loop = _get_running_loop()\n if loop is None:\n raise RuntimeError('no running event loop')\n return loop\n\n\ndef _get_running_loop():\n \"\"\"Return the running event loop or None.\n\n This is a low-level function intended to be used by event loops.\n This function is thread-specific.\n \"\"\"\n # NOTE: this function is implemented in C (see _asynciomodule.c)\n running_loop, pid = _running_loop.loop_pid\n if running_loop is not None and pid == os.getpid():\n return running_loop\n\n\ndef _set_running_loop(loop):\n \"\"\"Set the running event loop.\n\n This is a low-level function intended to be used by event loops.\n This function is thread-specific.\n \"\"\"\n # NOTE: this function is implemented in C (see _asynciomodule.c)\n _running_loop.loop_pid = (loop, os.getpid())\n\n\ndef _init_event_loop_policy():\n global _event_loop_policy\n with _lock:\n if _event_loop_policy is None: # pragma: no branch\n from . import DefaultEventLoopPolicy\n _event_loop_policy = DefaultEventLoopPolicy()\n\n\ndef get_event_loop_policy():\n \"\"\"Get the current event loop policy.\"\"\"\n if _event_loop_policy is None:\n _init_event_loop_policy()\n return _event_loop_policy\n\n\ndef set_event_loop_policy(policy):\n \"\"\"Set the current event loop policy.\n\n If policy is None, the default policy is restored.\"\"\"\n global _event_loop_policy\n if policy is not None and not isinstance(policy, AbstractEventLoopPolicy):\n raise TypeError(f\"policy must be an instance of AbstractEventLoopPolicy or None, not '{type(policy).__name__}'\")\n _event_loop_policy = policy\n\n\ndef get_event_loop():\n \"\"\"Return an asyncio event loop.\n\n When called from a coroutine or a callback (e.g. scheduled with call_soon\n or similar API), this function will always return the running event loop.\n\n If there is no running event loop set, the function will return\n the result of `get_event_loop_policy().get_event_loop()` call.\n \"\"\"\n # NOTE: this function is implemented in C (see _asynciomodule.c)\n current_loop = _get_running_loop()\n if current_loop is not None:\n return current_loop\n return get_event_loop_policy().get_event_loop()\n\n\ndef set_event_loop(loop):\n \"\"\"Equivalent to calling get_event_loop_policy().set_event_loop(loop).\"\"\"\n get_event_loop_policy().set_event_loop(loop)\n\n\ndef new_event_loop():\n \"\"\"Equivalent to calling get_event_loop_policy().new_event_loop().\"\"\"\n return get_event_loop_policy().new_event_loop()\n\n\ndef get_child_watcher():\n \"\"\"Equivalent to calling get_event_loop_policy().get_child_watcher().\"\"\"\n return get_event_loop_policy().get_child_watcher()\n\n\ndef set_child_watcher(watcher):\n \"\"\"Equivalent to calling\n get_event_loop_policy().set_child_watcher(watcher).\"\"\"\n return get_event_loop_policy().set_child_watcher(watcher)\n\n\n# Alias pure-Python implementations for testing purposes.\n_py__get_running_loop = _get_running_loop\n_py__set_running_loop = _set_running_loop\n_py_get_running_loop = get_running_loop\n_py_get_event_loop = get_event_loop\n\n\ntry:\n # get_event_loop() is one of the most frequently called\n # functions in asyncio. Pure Python implementation is\n # about 4 times slower than C-accelerated.\n from _asyncio import (_get_running_loop, _set_running_loop,\n get_running_loop, get_event_loop)\nexcept ImportError:\n pass\nelse:\n # Alias C implementations for testing purposes.\n _c__get_running_loop = _get_running_loop\n _c__set_running_loop = _set_running_loop\n _c_get_running_loop = get_running_loop\n _c_get_event_loop = get_event_loop\n\n\nif hasattr(os, 'fork'):\n def on_fork():\n # Reset the loop and wakeupfd in the forked child process.\n if _event_loop_policy is not None:\n _event_loop_policy._local = BaseDefaultEventLoopPolicy._Local()\n _set_running_loop(None)\n signal.set_wakeup_fd(-1)\n\n os.register_at_fork(after_in_child=on_fork)\n", 868], "/usr/lib/python3.12/asyncio/unix_events.py": ["\"\"\"Selector event loop for Unix with signal handling.\"\"\"\n\nimport errno\nimport io\nimport itertools\nimport os\nimport selectors\nimport signal\nimport socket\nimport stat\nimport subprocess\nimport sys\nimport threading\nimport warnings\n\nfrom . import base_events\nfrom . import base_subprocess\nfrom . import constants\nfrom . import coroutines\nfrom . import events\nfrom . import exceptions\nfrom . import futures\nfrom . import selector_events\nfrom . import tasks\nfrom . import transports\nfrom .log import logger\n\n\n__all__ = (\n 'SelectorEventLoop',\n 'AbstractChildWatcher', 'SafeChildWatcher',\n 'FastChildWatcher', 'PidfdChildWatcher',\n 'MultiLoopChildWatcher', 'ThreadedChildWatcher',\n 'DefaultEventLoopPolicy',\n)\n\n\nif sys.platform == 'win32': # pragma: no cover\n raise ImportError('Signals are not really supported on Windows')\n\n\ndef _sighandler_noop(signum, frame):\n \"\"\"Dummy signal handler.\"\"\"\n pass\n\n\ndef waitstatus_to_exitcode(status):\n try:\n return os.waitstatus_to_exitcode(status)\n except ValueError:\n # The child exited, but we don't understand its status.\n # This shouldn't happen, but if it does, let's just\n # return that status; perhaps that helps debug it.\n return status\n\n\nclass _UnixSelectorEventLoop(selector_events.BaseSelectorEventLoop):\n \"\"\"Unix event loop.\n\n Adds signal handling and UNIX Domain Socket support to SelectorEventLoop.\n \"\"\"\n\n def __init__(self, selector=None):\n super().__init__(selector)\n self._signal_handlers = {}\n\n def close(self):\n super().close()\n if not sys.is_finalizing():\n for sig in list(self._signal_handlers):\n self.remove_signal_handler(sig)\n else:\n if self._signal_handlers:\n warnings.warn(f\"Closing the loop {self!r} \"\n f\"on interpreter shutdown \"\n f\"stage, skipping signal handlers removal\",\n ResourceWarning,\n source=self)\n self._signal_handlers.clear()\n\n def _process_self_data(self, data):\n for signum in data:\n if not signum:\n # ignore null bytes written by _write_to_self()\n continue\n self._handle_signal(signum)\n\n def add_signal_handler(self, sig, callback, *args):\n \"\"\"Add a handler for a signal. UNIX only.\n\n Raise ValueError if the signal number is invalid or uncatchable.\n Raise RuntimeError if there is a problem setting up the handler.\n \"\"\"\n if (coroutines.iscoroutine(callback) or\n coroutines.iscoroutinefunction(callback)):\n raise TypeError(\"coroutines cannot be used \"\n \"with add_signal_handler()\")\n self._check_signal(sig)\n self._check_closed()\n try:\n # set_wakeup_fd() raises ValueError if this is not the\n # main thread. By calling it early we ensure that an\n # event loop running in another thread cannot add a signal\n # handler.\n signal.set_wakeup_fd(self._csock.fileno())\n except (ValueError, OSError) as exc:\n raise RuntimeError(str(exc))\n\n handle = events.Handle(callback, args, self, None)\n self._signal_handlers[sig] = handle\n\n try:\n # Register a dummy signal handler to ask Python to write the signal\n # number in the wakeup file descriptor. _process_self_data() will\n # read signal numbers from this file descriptor to handle signals.\n signal.signal(sig, _sighandler_noop)\n\n # Set SA_RESTART to limit EINTR occurrences.\n signal.siginterrupt(sig, False)\n except OSError as exc:\n del self._signal_handlers[sig]\n if not self._signal_handlers:\n try:\n signal.set_wakeup_fd(-1)\n except (ValueError, OSError) as nexc:\n logger.info('set_wakeup_fd(-1) failed: %s', nexc)\n\n if exc.errno == errno.EINVAL:\n raise RuntimeError(f'sig {sig} cannot be caught')\n else:\n raise\n\n def _handle_signal(self, sig):\n \"\"\"Internal helper that is the actual signal handler.\"\"\"\n handle = self._signal_handlers.get(sig)\n if handle is None:\n return # Assume it's some race condition.\n if handle._cancelled:\n self.remove_signal_handler(sig) # Remove it properly.\n else:\n self._add_callback_signalsafe(handle)\n\n def remove_signal_handler(self, sig):\n \"\"\"Remove a handler for a signal. UNIX only.\n\n Return True if a signal handler was removed, False if not.\n \"\"\"\n self._check_signal(sig)\n try:\n del self._signal_handlers[sig]\n except KeyError:\n return False\n\n if sig == signal.SIGINT:\n handler = signal.default_int_handler\n else:\n handler = signal.SIG_DFL\n\n try:\n signal.signal(sig, handler)\n except OSError as exc:\n if exc.errno == errno.EINVAL:\n raise RuntimeError(f'sig {sig} cannot be caught')\n else:\n raise\n\n if not self._signal_handlers:\n try:\n signal.set_wakeup_fd(-1)\n except (ValueError, OSError) as exc:\n logger.info('set_wakeup_fd(-1) failed: %s', exc)\n\n return True\n\n def _check_signal(self, sig):\n \"\"\"Internal helper to validate a signal.\n\n Raise ValueError if the signal number is invalid or uncatchable.\n Raise RuntimeError if there is a problem setting up the handler.\n \"\"\"\n if not isinstance(sig, int):\n raise TypeError(f'sig must be an int, not {sig!r}')\n\n if sig not in signal.valid_signals():\n raise ValueError(f'invalid signal number {sig}')\n\n def _make_read_pipe_transport(self, pipe, protocol, waiter=None,\n extra=None):\n return _UnixReadPipeTransport(self, pipe, protocol, waiter, extra)\n\n def _make_write_pipe_transport(self, pipe, protocol, waiter=None,\n extra=None):\n return _UnixWritePipeTransport(self, pipe, protocol, waiter, extra)\n\n async def _make_subprocess_transport(self, protocol, args, shell,\n stdin, stdout, stderr, bufsize,\n extra=None, **kwargs):\n with warnings.catch_warnings():\n warnings.simplefilter('ignore', DeprecationWarning)\n watcher = events.get_child_watcher()\n\n with watcher:\n if not watcher.is_active():\n # Check early.\n # Raising exception before process creation\n # prevents subprocess execution if the watcher\n # is not ready to handle it.\n raise RuntimeError(\"asyncio.get_child_watcher() is not activated, \"\n \"subprocess support is not installed.\")\n waiter = self.create_future()\n transp = _UnixSubprocessTransport(self, protocol, args, shell,\n stdin, stdout, stderr, bufsize,\n waiter=waiter, extra=extra,\n **kwargs)\n watcher.add_child_handler(transp.get_pid(),\n self._child_watcher_callback, transp)\n try:\n await waiter\n except (SystemExit, KeyboardInterrupt):\n raise\n except BaseException:\n transp.close()\n await transp._wait()\n raise\n\n return transp\n\n def _child_watcher_callback(self, pid, returncode, transp):\n self.call_soon_threadsafe(transp._process_exited, returncode)\n\n async def create_unix_connection(\n self, protocol_factory, path=None, *,\n ssl=None, sock=None,\n server_hostname=None,\n ssl_handshake_timeout=None,\n ssl_shutdown_timeout=None):\n assert server_hostname is None or isinstance(server_hostname, str)\n if ssl:\n if server_hostname is None:\n raise ValueError(\n 'you have to pass server_hostname when using ssl')\n else:\n if server_hostname is not None:\n raise ValueError('server_hostname is only meaningful with ssl')\n if ssl_handshake_timeout is not None:\n raise ValueError(\n 'ssl_handshake_timeout is only meaningful with ssl')\n if ssl_shutdown_timeout is not None:\n raise ValueError(\n 'ssl_shutdown_timeout is only meaningful with ssl')\n\n if path is not None:\n if sock is not None:\n raise ValueError(\n 'path and sock can not be specified at the same time')\n\n path = os.fspath(path)\n sock = socket.socket(socket.AF_UNIX, socket.SOCK_STREAM, 0)\n try:\n sock.setblocking(False)\n await self.sock_connect(sock, path)\n except:\n sock.close()\n raise\n\n else:\n if sock is None:\n raise ValueError('no path and sock were specified')\n if (sock.family != socket.AF_UNIX or\n sock.type != socket.SOCK_STREAM):\n raise ValueError(\n f'A UNIX Domain Stream Socket was expected, got {sock!r}')\n sock.setblocking(False)\n\n transport, protocol = await self._create_connection_transport(\n sock, protocol_factory, ssl, server_hostname,\n ssl_handshake_timeout=ssl_handshake_timeout,\n ssl_shutdown_timeout=ssl_shutdown_timeout)\n return transport, protocol\n\n async def create_unix_server(\n self, protocol_factory, path=None, *,\n sock=None, backlog=100, ssl=None,\n ssl_handshake_timeout=None,\n ssl_shutdown_timeout=None,\n start_serving=True):\n if isinstance(ssl, bool):\n raise TypeError('ssl argument must be an SSLContext or None')\n\n if ssl_handshake_timeout is not None and not ssl:\n raise ValueError(\n 'ssl_handshake_timeout is only meaningful with ssl')\n\n if ssl_shutdown_timeout is not None and not ssl:\n raise ValueError(\n 'ssl_shutdown_timeout is only meaningful with ssl')\n\n if path is not None:\n if sock is not None:\n raise ValueError(\n 'path and sock can not be specified at the same time')\n\n path = os.fspath(path)\n sock = socket.socket(socket.AF_UNIX, socket.SOCK_STREAM)\n\n # Check for abstract socket. `str` and `bytes` paths are supported.\n if path[0] not in (0, '\\x00'):\n try:\n if stat.S_ISSOCK(os.stat(path).st_mode):\n os.remove(path)\n except FileNotFoundError:\n pass\n except OSError as err:\n # Directory may have permissions only to create socket.\n logger.error('Unable to check or remove stale UNIX socket '\n '%r: %r', path, err)\n\n try:\n sock.bind(path)\n except OSError as exc:\n sock.close()\n if exc.errno == errno.EADDRINUSE:\n # Let's improve the error message by adding\n # with what exact address it occurs.\n msg = f'Address {path!r} is already in use'\n raise OSError(errno.EADDRINUSE, msg) from None\n else:\n raise\n except:\n sock.close()\n raise\n else:\n if sock is None:\n raise ValueError(\n 'path was not specified, and no sock specified')\n\n if (sock.family != socket.AF_UNIX or\n sock.type != socket.SOCK_STREAM):\n raise ValueError(\n f'A UNIX Domain Stream Socket was expected, got {sock!r}')\n\n sock.setblocking(False)\n server = base_events.Server(self, [sock], protocol_factory,\n ssl, backlog, ssl_handshake_timeout,\n ssl_shutdown_timeout)\n if start_serving:\n server._start_serving()\n # Skip one loop iteration so that all 'loop.add_reader'\n # go through.\n await tasks.sleep(0)\n\n return server\n\n async def _sock_sendfile_native(self, sock, file, offset, count):\n try:\n os.sendfile\n except AttributeError:\n raise exceptions.SendfileNotAvailableError(\n \"os.sendfile() is not available\")\n try:\n fileno = file.fileno()\n except (AttributeError, io.UnsupportedOperation) as err:\n raise exceptions.SendfileNotAvailableError(\"not a regular file\")\n try:\n fsize = os.fstat(fileno).st_size\n except OSError:\n raise exceptions.SendfileNotAvailableError(\"not a regular file\")\n blocksize = count if count else fsize\n if not blocksize:\n return 0 # empty file\n\n fut = self.create_future()\n self._sock_sendfile_native_impl(fut, None, sock, fileno,\n offset, count, blocksize, 0)\n return await fut\n\n def _sock_sendfile_native_impl(self, fut, registered_fd, sock, fileno,\n offset, count, blocksize, total_sent):\n fd = sock.fileno()\n if registered_fd is not None:\n # Remove the callback early. It should be rare that the\n # selector says the fd is ready but the call still returns\n # EAGAIN, and I am willing to take a hit in that case in\n # order to simplify the common case.\n self.remove_writer(registered_fd)\n if fut.cancelled():\n self._sock_sendfile_update_filepos(fileno, offset, total_sent)\n return\n if count:\n blocksize = count - total_sent\n if blocksize <= 0:\n self._sock_sendfile_update_filepos(fileno, offset, total_sent)\n fut.set_result(total_sent)\n return\n\n try:\n sent = os.sendfile(fd, fileno, offset, blocksize)\n except (BlockingIOError, InterruptedError):\n if registered_fd is None:\n self._sock_add_cancellation_callback(fut, sock)\n self.add_writer(fd, self._sock_sendfile_native_impl, fut,\n fd, sock, fileno,\n offset, count, blocksize, total_sent)\n except OSError as exc:\n if (registered_fd is not None and\n exc.errno == errno.ENOTCONN and\n type(exc) is not ConnectionError):\n # If we have an ENOTCONN and this isn't a first call to\n # sendfile(), i.e. the connection was closed in the middle\n # of the operation, normalize the error to ConnectionError\n # to make it consistent across all Posix systems.\n new_exc = ConnectionError(\n \"socket is not connected\", errno.ENOTCONN)\n new_exc.__cause__ = exc\n exc = new_exc\n if total_sent == 0:\n # We can get here for different reasons, the main\n # one being 'file' is not a regular mmap(2)-like\n # file, in which case we'll fall back on using\n # plain send().\n err = exceptions.SendfileNotAvailableError(\n \"os.sendfile call failed\")\n self._sock_sendfile_update_filepos(fileno, offset, total_sent)\n fut.set_exception(err)\n else:\n self._sock_sendfile_update_filepos(fileno, offset, total_sent)\n fut.set_exception(exc)\n except (SystemExit, KeyboardInterrupt):\n raise\n except BaseException as exc:\n self._sock_sendfile_update_filepos(fileno, offset, total_sent)\n fut.set_exception(exc)\n else:\n if sent == 0:\n # EOF\n self._sock_sendfile_update_filepos(fileno, offset, total_sent)\n fut.set_result(total_sent)\n else:\n offset += sent\n total_sent += sent\n if registered_fd is None:\n self._sock_add_cancellation_callback(fut, sock)\n self.add_writer(fd, self._sock_sendfile_native_impl, fut,\n fd, sock, fileno,\n offset, count, blocksize, total_sent)\n\n def _sock_sendfile_update_filepos(self, fileno, offset, total_sent):\n if total_sent > 0:\n os.lseek(fileno, offset, os.SEEK_SET)\n\n def _sock_add_cancellation_callback(self, fut, sock):\n def cb(fut):\n if fut.cancelled():\n fd = sock.fileno()\n if fd != -1:\n self.remove_writer(fd)\n fut.add_done_callback(cb)\n\n\nclass _UnixReadPipeTransport(transports.ReadTransport):\n\n max_size = 256 * 1024 # max bytes we read in one event loop iteration\n\n def __init__(self, loop, pipe, protocol, waiter=None, extra=None):\n super().__init__(extra)\n self._extra['pipe'] = pipe\n self._loop = loop\n self._pipe = pipe\n self._fileno = pipe.fileno()\n self._protocol = protocol\n self._closing = False\n self._paused = False\n\n mode = os.fstat(self._fileno).st_mode\n if not (stat.S_ISFIFO(mode) or\n stat.S_ISSOCK(mode) or\n stat.S_ISCHR(mode)):\n self._pipe = None\n self._fileno = None\n self._protocol = None\n raise ValueError(\"Pipe transport is for pipes/sockets only.\")\n\n os.set_blocking(self._fileno, False)\n\n self._loop.call_soon(self._protocol.connection_made, self)\n # only start reading when connection_made() has been called\n self._loop.call_soon(self._add_reader,\n self._fileno, self._read_ready)\n if waiter is not None:\n # only wake up the waiter when connection_made() has been called\n self._loop.call_soon(futures._set_result_unless_cancelled,\n waiter, None)\n\n def _add_reader(self, fd, callback):\n if not self.is_reading():\n return\n self._loop._add_reader(fd, callback)\n\n def is_reading(self):\n return not self._paused and not self._closing\n\n def __repr__(self):\n info = [self.__class__.__name__]\n if self._pipe is None:\n info.append('closed')\n elif self._closing:\n info.append('closing')\n info.append(f'fd={self._fileno}')\n selector = getattr(self._loop, '_selector', None)\n if self._pipe is not None and selector is not None:\n polling = selector_events._test_selector_event(\n selector, self._fileno, selectors.EVENT_READ)\n if polling:\n info.append('polling')\n else:\n info.append('idle')\n elif self._pipe is not None:\n info.append('open')\n else:\n info.append('closed')\n return '<{}>'.format(' '.join(info))\n\n def _read_ready(self):\n try:\n data = os.read(self._fileno, self.max_size)\n except (BlockingIOError, InterruptedError):\n pass\n except OSError as exc:\n self._fatal_error(exc, 'Fatal read error on pipe transport')\n else:\n if data:\n self._protocol.data_received(data)\n else:\n if self._loop.get_debug():\n logger.info(\"%r was closed by peer\", self)\n self._closing = True\n self._loop._remove_reader(self._fileno)\n self._loop.call_soon(self._protocol.eof_received)\n self._loop.call_soon(self._call_connection_lost, None)\n\n def pause_reading(self):\n if not self.is_reading():\n return\n self._paused = True\n self._loop._remove_reader(self._fileno)\n if self._loop.get_debug():\n logger.debug(\"%r pauses reading\", self)\n\n def resume_reading(self):\n if self._closing or not self._paused:\n return\n self._paused = False\n self._loop._add_reader(self._fileno, self._read_ready)\n if self._loop.get_debug():\n logger.debug(\"%r resumes reading\", self)\n\n def set_protocol(self, protocol):\n self._protocol = protocol\n\n def get_protocol(self):\n return self._protocol\n\n def is_closing(self):\n return self._closing\n\n def close(self):\n if not self._closing:\n self._close(None)\n\n def __del__(self, _warn=warnings.warn):\n if self._pipe is not None:\n _warn(f\"unclosed transport {self!r}\", ResourceWarning, source=self)\n self._pipe.close()\n\n def _fatal_error(self, exc, message='Fatal error on pipe transport'):\n # should be called by exception handler only\n if (isinstance(exc, OSError) and exc.errno == errno.EIO):\n if self._loop.get_debug():\n logger.debug(\"%r: %s\", self, message, exc_info=True)\n else:\n self._loop.call_exception_handler({\n 'message': message,\n 'exception': exc,\n 'transport': self,\n 'protocol': self._protocol,\n })\n self._close(exc)\n\n def _close(self, exc):\n self._closing = True\n self._loop._remove_reader(self._fileno)\n self._loop.call_soon(self._call_connection_lost, exc)\n\n def _call_connection_lost(self, exc):\n try:\n self._protocol.connection_lost(exc)\n finally:\n self._pipe.close()\n self._pipe = None\n self._protocol = None\n self._loop = None\n\n\nclass _UnixWritePipeTransport(transports._FlowControlMixin,\n transports.WriteTransport):\n\n def __init__(self, loop, pipe, protocol, waiter=None, extra=None):\n super().__init__(extra, loop)\n self._extra['pipe'] = pipe\n self._pipe = pipe\n self._fileno = pipe.fileno()\n self._protocol = protocol\n self._buffer = bytearray()\n self._conn_lost = 0\n self._closing = False # Set when close() or write_eof() called.\n\n mode = os.fstat(self._fileno).st_mode\n is_char = stat.S_ISCHR(mode)\n is_fifo = stat.S_ISFIFO(mode)\n is_socket = stat.S_ISSOCK(mode)\n if not (is_char or is_fifo or is_socket):\n self._pipe = None\n self._fileno = None\n self._protocol = None\n raise ValueError(\"Pipe transport is only for \"\n \"pipes, sockets and character devices\")\n\n os.set_blocking(self._fileno, False)\n self._loop.call_soon(self._protocol.connection_made, self)\n\n # On AIX, the reader trick (to be notified when the read end of the\n # socket is closed) only works for sockets. On other platforms it\n # works for pipes and sockets. (Exception: OS X 10.4? Issue #19294.)\n if is_socket or (is_fifo and not sys.platform.startswith(\"aix\")):\n # only start reading when connection_made() has been called\n self._loop.call_soon(self._loop._add_reader,\n self._fileno, self._read_ready)\n\n if waiter is not None:\n # only wake up the waiter when connection_made() has been called\n self._loop.call_soon(futures._set_result_unless_cancelled,\n waiter, None)\n\n def __repr__(self):\n info = [self.__class__.__name__]\n if self._pipe is None:\n info.append('closed')\n elif self._closing:\n info.append('closing')\n info.append(f'fd={self._fileno}')\n selector = getattr(self._loop, '_selector', None)\n if self._pipe is not None and selector is not None:\n polling = selector_events._test_selector_event(\n selector, self._fileno, selectors.EVENT_WRITE)\n if polling:\n info.append('polling')\n else:\n info.append('idle')\n\n bufsize = self.get_write_buffer_size()\n info.append(f'bufsize={bufsize}')\n elif self._pipe is not None:\n info.append('open')\n else:\n info.append('closed')\n return '<{}>'.format(' '.join(info))\n\n def get_write_buffer_size(self):\n return len(self._buffer)\n\n def _read_ready(self):\n # Pipe was closed by peer.\n if self._loop.get_debug():\n logger.info(\"%r was closed by peer\", self)\n if self._buffer:\n self._close(BrokenPipeError())\n else:\n self._close()\n\n def write(self, data):\n assert isinstance(data, (bytes, bytearray, memoryview)), repr(data)\n if isinstance(data, bytearray):\n data = memoryview(data)\n if not data:\n return\n\n if self._conn_lost or self._closing:\n if self._conn_lost >= constants.LOG_THRESHOLD_FOR_CONNLOST_WRITES:\n logger.warning('pipe closed by peer or '\n 'os.write(pipe, data) raised exception.')\n self._conn_lost += 1\n return\n\n if not self._buffer:\n # Attempt to send it right away first.\n try:\n n = os.write(self._fileno, data)\n except (BlockingIOError, InterruptedError):\n n = 0\n except (SystemExit, KeyboardInterrupt):\n raise\n except BaseException as exc:\n self._conn_lost += 1\n self._fatal_error(exc, 'Fatal write error on pipe transport')\n return\n if n == len(data):\n return\n elif n > 0:\n data = memoryview(data)[n:]\n self._loop._add_writer(self._fileno, self._write_ready)\n\n self._buffer += data\n self._maybe_pause_protocol()\n\n def _write_ready(self):\n assert self._buffer, 'Data should not be empty'\n\n try:\n n = os.write(self._fileno, self._buffer)\n except (BlockingIOError, InterruptedError):\n pass\n except (SystemExit, KeyboardInterrupt):\n raise\n except BaseException as exc:\n self._buffer.clear()\n self._conn_lost += 1\n # Remove writer here, _fatal_error() doesn't it\n # because _buffer is empty.\n self._loop._remove_writer(self._fileno)\n self._fatal_error(exc, 'Fatal write error on pipe transport')\n else:\n if n == len(self._buffer):\n self._buffer.clear()\n self._loop._remove_writer(self._fileno)\n self._maybe_resume_protocol() # May append to buffer.\n if self._closing:\n self._loop._remove_reader(self._fileno)\n self._call_connection_lost(None)\n return\n elif n > 0:\n del self._buffer[:n]\n\n def can_write_eof(self):\n return True\n\n def write_eof(self):\n if self._closing:\n return\n assert self._pipe\n self._closing = True\n if not self._buffer:\n self._loop._remove_reader(self._fileno)\n self._loop.call_soon(self._call_connection_lost, None)\n\n def set_protocol(self, protocol):\n self._protocol = protocol\n\n def get_protocol(self):\n return self._protocol\n\n def is_closing(self):\n return self._closing\n\n def close(self):\n if self._pipe is not None and not self._closing:\n # write_eof is all what we needed to close the write pipe\n self.write_eof()\n\n def __del__(self, _warn=warnings.warn):\n if self._pipe is not None:\n _warn(f\"unclosed transport {self!r}\", ResourceWarning, source=self)\n self._pipe.close()\n\n def abort(self):\n self._close(None)\n\n def _fatal_error(self, exc, message='Fatal error on pipe transport'):\n # should be called by exception handler only\n if isinstance(exc, OSError):\n if self._loop.get_debug():\n logger.debug(\"%r: %s\", self, message, exc_info=True)\n else:\n self._loop.call_exception_handler({\n 'message': message,\n 'exception': exc,\n 'transport': self,\n 'protocol': self._protocol,\n })\n self._close(exc)\n\n def _close(self, exc=None):\n self._closing = True\n if self._buffer:\n self._loop._remove_writer(self._fileno)\n self._buffer.clear()\n self._loop._remove_reader(self._fileno)\n self._loop.call_soon(self._call_connection_lost, exc)\n\n def _call_connection_lost(self, exc):\n try:\n self._protocol.connection_lost(exc)\n finally:\n self._pipe.close()\n self._pipe = None\n self._protocol = None\n self._loop = None\n\n\nclass _UnixSubprocessTransport(base_subprocess.BaseSubprocessTransport):\n\n def _start(self, args, shell, stdin, stdout, stderr, bufsize, **kwargs):\n stdin_w = None\n if stdin == subprocess.PIPE and sys.platform.startswith('aix'):\n # Use a socket pair for stdin on AIX, since it does not\n # support selecting read events on the write end of a\n # socket (which we use in order to detect closing of the\n # other end).\n stdin, stdin_w = socket.socketpair()\n try:\n self._proc = subprocess.Popen(\n args, shell=shell, stdin=stdin, stdout=stdout, stderr=stderr,\n universal_newlines=False, bufsize=bufsize, **kwargs)\n if stdin_w is not None:\n stdin.close()\n self._proc.stdin = open(stdin_w.detach(), 'wb', buffering=bufsize)\n stdin_w = None\n finally:\n if stdin_w is not None:\n stdin.close()\n stdin_w.close()\n\n\nclass AbstractChildWatcher:\n \"\"\"Abstract base class for monitoring child processes.\n\n Objects derived from this class monitor a collection of subprocesses and\n report their termination or interruption by a signal.\n\n New callbacks are registered with .add_child_handler(). Starting a new\n process must be done within a 'with' block to allow the watcher to suspend\n its activity until the new process if fully registered (this is needed to\n prevent a race condition in some implementations).\n\n Example:\n with watcher:\n proc = subprocess.Popen(\"sleep 1\")\n watcher.add_child_handler(proc.pid, callback)\n\n Notes:\n Implementations of this class must be thread-safe.\n\n Since child watcher objects may catch the SIGCHLD signal and call\n waitpid(-1), there should be only one active object per process.\n \"\"\"\n\n def __init_subclass__(cls) -> None:\n if cls.__module__ != __name__:\n warnings._deprecated(\"AbstractChildWatcher\",\n \"{name!r} is deprecated as of Python 3.12 and will be \"\n \"removed in Python {remove}.\",\n remove=(3, 14))\n\n def add_child_handler(self, pid, callback, *args):\n \"\"\"Register a new child handler.\n\n Arrange for callback(pid, returncode, *args) to be called when\n process 'pid' terminates. Specifying another callback for the same\n process replaces the previous handler.\n\n Note: callback() must be thread-safe.\n \"\"\"\n raise NotImplementedError()\n\n def remove_child_handler(self, pid):\n \"\"\"Removes the handler for process 'pid'.\n\n The function returns True if the handler was successfully removed,\n False if there was nothing to remove.\"\"\"\n\n raise NotImplementedError()\n\n def attach_loop(self, loop):\n \"\"\"Attach the watcher to an event loop.\n\n If the watcher was previously attached to an event loop, then it is\n first detached before attaching to the new loop.\n\n Note: loop may be None.\n \"\"\"\n raise NotImplementedError()\n\n def close(self):\n \"\"\"Close the watcher.\n\n This must be called to make sure that any underlying resource is freed.\n \"\"\"\n raise NotImplementedError()\n\n def is_active(self):\n \"\"\"Return ``True`` if the watcher is active and is used by the event loop.\n\n Return True if the watcher is installed and ready to handle process exit\n notifications.\n\n \"\"\"\n raise NotImplementedError()\n\n def __enter__(self):\n \"\"\"Enter the watcher's context and allow starting new processes\n\n This function must return self\"\"\"\n raise NotImplementedError()\n\n def __exit__(self, a, b, c):\n \"\"\"Exit the watcher's context\"\"\"\n raise NotImplementedError()\n\n\nclass PidfdChildWatcher(AbstractChildWatcher):\n \"\"\"Child watcher implementation using Linux's pid file descriptors.\n\n This child watcher polls process file descriptors (pidfds) to await child\n process termination. In some respects, PidfdChildWatcher is a \"Goldilocks\"\n child watcher implementation. It doesn't require signals or threads, doesn't\n interfere with any processes launched outside the event loop, and scales\n linearly with the number of subprocesses launched by the event loop. The\n main disadvantage is that pidfds are specific to Linux, and only work on\n recent (5.3+) kernels.\n \"\"\"\n\n def __enter__(self):\n return self\n\n def __exit__(self, exc_type, exc_value, exc_traceback):\n pass\n\n def is_active(self):\n return True\n\n def close(self):\n pass\n\n def attach_loop(self, loop):\n pass\n\n def add_child_handler(self, pid, callback, *args):\n loop = events.get_running_loop()\n pidfd = os.pidfd_open(pid)\n loop._add_reader(pidfd, self._do_wait, pid, pidfd, callback, args)\n\n def _do_wait(self, pid, pidfd, callback, args):\n loop = events.get_running_loop()\n loop._remove_reader(pidfd)\n try:\n _, status = os.waitpid(pid, 0)\n except ChildProcessError:\n # The child process is already reaped\n # (may happen if waitpid() is called elsewhere).\n returncode = 255\n logger.warning(\n \"child process pid %d exit status already read: \"\n \" will report returncode 255\",\n pid)\n else:\n returncode = waitstatus_to_exitcode(status)\n\n os.close(pidfd)\n callback(pid, returncode, *args)\n\n def remove_child_handler(self, pid):\n # asyncio never calls remove_child_handler() !!!\n # The method is no-op but is implemented because\n # abstract base classes require it.\n return True\n\n\nclass BaseChildWatcher(AbstractChildWatcher):\n\n def __init__(self):\n self._loop = None\n self._callbacks = {}\n\n def close(self):\n self.attach_loop(None)\n\n def is_active(self):\n return self._loop is not None and self._loop.is_running()\n\n def _do_waitpid(self, expected_pid):\n raise NotImplementedError()\n\n def _do_waitpid_all(self):\n raise NotImplementedError()\n\n def attach_loop(self, loop):\n assert loop is None or isinstance(loop, events.AbstractEventLoop)\n\n if self._loop is not None and loop is None and self._callbacks:\n warnings.warn(\n 'A loop is being detached '\n 'from a child watcher with pending handlers',\n RuntimeWarning)\n\n if self._loop is not None:\n self._loop.remove_signal_handler(signal.SIGCHLD)\n\n self._loop = loop\n if loop is not None:\n loop.add_signal_handler(signal.SIGCHLD, self._sig_chld)\n\n # Prevent a race condition in case a child terminated\n # during the switch.\n self._do_waitpid_all()\n\n def _sig_chld(self):\n try:\n self._do_waitpid_all()\n except (SystemExit, KeyboardInterrupt):\n raise\n except BaseException as exc:\n # self._loop should always be available here\n # as '_sig_chld' is added as a signal handler\n # in 'attach_loop'\n self._loop.call_exception_handler({\n 'message': 'Unknown exception in SIGCHLD handler',\n 'exception': exc,\n })\n\n\nclass SafeChildWatcher(BaseChildWatcher):\n \"\"\"'Safe' child watcher implementation.\n\n This implementation avoids disrupting other code spawning processes by\n polling explicitly each process in the SIGCHLD handler instead of calling\n os.waitpid(-1).\n\n This is a safe solution but it has a significant overhead when handling a\n big number of children (O(n) each time SIGCHLD is raised)\n \"\"\"\n\n def __init__(self):\n super().__init__()\n warnings._deprecated(\"SafeChildWatcher\",\n \"{name!r} is deprecated as of Python 3.12 and will be \"\n \"removed in Python {remove}.\",\n remove=(3, 14))\n\n def close(self):\n self._callbacks.clear()\n super().close()\n\n def __enter__(self):\n return self\n\n def __exit__(self, a, b, c):\n pass\n\n def add_child_handler(self, pid, callback, *args):\n self._callbacks[pid] = (callback, args)\n\n # Prevent a race condition in case the child is already terminated.\n self._do_waitpid(pid)\n\n def remove_child_handler(self, pid):\n try:\n del self._callbacks[pid]\n return True\n except KeyError:\n return False\n\n def _do_waitpid_all(self):\n\n for pid in list(self._callbacks):\n self._do_waitpid(pid)\n\n def _do_waitpid(self, expected_pid):\n assert expected_pid > 0\n\n try:\n pid, status = os.waitpid(expected_pid, os.WNOHANG)\n except ChildProcessError:\n # The child process is already reaped\n # (may happen if waitpid() is called elsewhere).\n pid = expected_pid\n returncode = 255\n logger.warning(\n \"Unknown child process pid %d, will report returncode 255\",\n pid)\n else:\n if pid == 0:\n # The child process is still alive.\n return\n\n returncode = waitstatus_to_exitcode(status)\n if self._loop.get_debug():\n logger.debug('process %s exited with returncode %s',\n expected_pid, returncode)\n\n try:\n callback, args = self._callbacks.pop(pid)\n except KeyError: # pragma: no cover\n # May happen if .remove_child_handler() is called\n # after os.waitpid() returns.\n if self._loop.get_debug():\n logger.warning(\"Child watcher got an unexpected pid: %r\",\n pid, exc_info=True)\n else:\n callback(pid, returncode, *args)\n\n\nclass FastChildWatcher(BaseChildWatcher):\n \"\"\"'Fast' child watcher implementation.\n\n This implementation reaps every terminated processes by calling\n os.waitpid(-1) directly, possibly breaking other code spawning processes\n and waiting for their termination.\n\n There is no noticeable overhead when handling a big number of children\n (O(1) each time a child terminates).\n \"\"\"\n def __init__(self):\n super().__init__()\n self._lock = threading.Lock()\n self._zombies = {}\n self._forks = 0\n warnings._deprecated(\"FastChildWatcher\",\n \"{name!r} is deprecated as of Python 3.12 and will be \"\n \"removed in Python {remove}.\",\n remove=(3, 14))\n\n def close(self):\n self._callbacks.clear()\n self._zombies.clear()\n super().close()\n\n def __enter__(self):\n with self._lock:\n self._forks += 1\n\n return self\n\n def __exit__(self, a, b, c):\n with self._lock:\n self._forks -= 1\n\n if self._forks or not self._zombies:\n return\n\n collateral_victims = str(self._zombies)\n self._zombies.clear()\n\n logger.warning(\n \"Caught subprocesses termination from unknown pids: %s\",\n collateral_victims)\n\n def add_child_handler(self, pid, callback, *args):\n assert self._forks, \"Must use the context manager\"\n\n with self._lock:\n try:\n returncode = self._zombies.pop(pid)\n except KeyError:\n # The child is running.\n self._callbacks[pid] = callback, args\n return\n\n # The child is dead already. We can fire the callback.\n callback(pid, returncode, *args)\n\n def remove_child_handler(self, pid):\n try:\n del self._callbacks[pid]\n return True\n except KeyError:\n return False\n\n def _do_waitpid_all(self):\n # Because of signal coalescing, we must keep calling waitpid() as\n # long as we're able to reap a child.\n while True:\n try:\n pid, status = os.waitpid(-1, os.WNOHANG)\n except ChildProcessError:\n # No more child processes exist.\n return\n else:\n if pid == 0:\n # A child process is still alive.\n return\n\n returncode = waitstatus_to_exitcode(status)\n\n with self._lock:\n try:\n callback, args = self._callbacks.pop(pid)\n except KeyError:\n # unknown child\n if self._forks:\n # It may not be registered yet.\n self._zombies[pid] = returncode\n if self._loop.get_debug():\n logger.debug('unknown process %s exited '\n 'with returncode %s',\n pid, returncode)\n continue\n callback = None\n else:\n if self._loop.get_debug():\n logger.debug('process %s exited with returncode %s',\n pid, returncode)\n\n if callback is None:\n logger.warning(\n \"Caught subprocess termination from unknown pid: \"\n \"%d -> %d\", pid, returncode)\n else:\n callback(pid, returncode, *args)\n\n\nclass MultiLoopChildWatcher(AbstractChildWatcher):\n \"\"\"A watcher that doesn't require running loop in the main thread.\n\n This implementation registers a SIGCHLD signal handler on\n instantiation (which may conflict with other code that\n install own handler for this signal).\n\n The solution is safe but it has a significant overhead when\n handling a big number of processes (*O(n)* each time a\n SIGCHLD is received).\n \"\"\"\n\n # Implementation note:\n # The class keeps compatibility with AbstractChildWatcher ABC\n # To achieve this it has empty attach_loop() method\n # and doesn't accept explicit loop argument\n # for add_child_handler()/remove_child_handler()\n # but retrieves the current loop by get_running_loop()\n\n def __init__(self):\n self._callbacks = {}\n self._saved_sighandler = None\n warnings._deprecated(\"MultiLoopChildWatcher\",\n \"{name!r} is deprecated as of Python 3.12 and will be \"\n \"removed in Python {remove}.\",\n remove=(3, 14))\n\n def is_active(self):\n return self._saved_sighandler is not None\n\n def close(self):\n self._callbacks.clear()\n if self._saved_sighandler is None:\n return\n\n handler = signal.getsignal(signal.SIGCHLD)\n if handler != self._sig_chld:\n logger.warning(\"SIGCHLD handler was changed by outside code\")\n else:\n signal.signal(signal.SIGCHLD, self._saved_sighandler)\n self._saved_sighandler = None\n\n def __enter__(self):\n return self\n\n def __exit__(self, exc_type, exc_val, exc_tb):\n pass\n\n def add_child_handler(self, pid, callback, *args):\n loop = events.get_running_loop()\n self._callbacks[pid] = (loop, callback, args)\n\n # Prevent a race condition in case the child is already terminated.\n self._do_waitpid(pid)\n\n def remove_child_handler(self, pid):\n try:\n del self._callbacks[pid]\n return True\n except KeyError:\n return False\n\n def attach_loop(self, loop):\n # Don't save the loop but initialize itself if called first time\n # The reason to do it here is that attach_loop() is called from\n # unix policy only for the main thread.\n # Main thread is required for subscription on SIGCHLD signal\n if self._saved_sighandler is not None:\n return\n\n self._saved_sighandler = signal.signal(signal.SIGCHLD, self._sig_chld)\n if self._saved_sighandler is None:\n logger.warning(\"Previous SIGCHLD handler was set by non-Python code, \"\n \"restore to default handler on watcher close.\")\n self._saved_sighandler = signal.SIG_DFL\n\n # Set SA_RESTART to limit EINTR occurrences.\n signal.siginterrupt(signal.SIGCHLD, False)\n\n def _do_waitpid_all(self):\n for pid in list(self._callbacks):\n self._do_waitpid(pid)\n\n def _do_waitpid(self, expected_pid):\n assert expected_pid > 0\n\n try:\n pid, status = os.waitpid(expected_pid, os.WNOHANG)\n except ChildProcessError:\n # The child process is already reaped\n # (may happen if waitpid() is called elsewhere).\n pid = expected_pid\n returncode = 255\n logger.warning(\n \"Unknown child process pid %d, will report returncode 255\",\n pid)\n debug_log = False\n else:\n if pid == 0:\n # The child process is still alive.\n return\n\n returncode = waitstatus_to_exitcode(status)\n debug_log = True\n try:\n loop, callback, args = self._callbacks.pop(pid)\n except KeyError: # pragma: no cover\n # May happen if .remove_child_handler() is called\n # after os.waitpid() returns.\n logger.warning(\"Child watcher got an unexpected pid: %r\",\n pid, exc_info=True)\n else:\n if loop.is_closed():\n logger.warning(\"Loop %r that handles pid %r is closed\", loop, pid)\n else:\n if debug_log and loop.get_debug():\n logger.debug('process %s exited with returncode %s',\n expected_pid, returncode)\n loop.call_soon_threadsafe(callback, pid, returncode, *args)\n\n def _sig_chld(self, signum, frame):\n try:\n self._do_waitpid_all()\n except (SystemExit, KeyboardInterrupt):\n raise\n except BaseException:\n logger.warning('Unknown exception in SIGCHLD handler', exc_info=True)\n\n\nclass ThreadedChildWatcher(AbstractChildWatcher):\n \"\"\"Threaded child watcher implementation.\n\n The watcher uses a thread per process\n for waiting for the process finish.\n\n It doesn't require subscription on POSIX signal\n but a thread creation is not free.\n\n The watcher has O(1) complexity, its performance doesn't depend\n on amount of spawn processes.\n \"\"\"\n\n def __init__(self):\n self._pid_counter = itertools.count(0)\n self._threads = {}\n\n def is_active(self):\n return True\n\n def close(self):\n pass\n\n def __enter__(self):\n return self\n\n def __exit__(self, exc_type, exc_val, exc_tb):\n pass\n\n def __del__(self, _warn=warnings.warn):\n threads = [thread for thread in list(self._threads.values())\n if thread.is_alive()]\n if threads:\n _warn(f\"{self.__class__} has registered but not finished child processes\",\n ResourceWarning,\n source=self)\n\n def add_child_handler(self, pid, callback, *args):\n loop = events.get_running_loop()\n thread = threading.Thread(target=self._do_waitpid,\n name=f\"asyncio-waitpid-{next(self._pid_counter)}\",\n args=(loop, pid, callback, args),\n daemon=True)\n self._threads[pid] = thread\n thread.start()\n\n def remove_child_handler(self, pid):\n # asyncio never calls remove_child_handler() !!!\n # The method is no-op but is implemented because\n # abstract base classes require it.\n return True\n\n def attach_loop(self, loop):\n pass\n\n def _do_waitpid(self, loop, expected_pid, callback, args):\n assert expected_pid > 0\n\n try:\n pid, status = os.waitpid(expected_pid, 0)\n except ChildProcessError:\n # The child process is already reaped\n # (may happen if waitpid() is called elsewhere).\n pid = expected_pid\n returncode = 255\n logger.warning(\n \"Unknown child process pid %d, will report returncode 255\",\n pid)\n else:\n returncode = waitstatus_to_exitcode(status)\n if loop.get_debug():\n logger.debug('process %s exited with returncode %s',\n expected_pid, returncode)\n\n if loop.is_closed():\n logger.warning(\"Loop %r that handles pid %r is closed\", loop, pid)\n else:\n loop.call_soon_threadsafe(callback, pid, returncode, *args)\n\n self._threads.pop(expected_pid)\n\ndef can_use_pidfd():\n if not hasattr(os, 'pidfd_open'):\n return False\n try:\n pid = os.getpid()\n os.close(os.pidfd_open(pid, 0))\n except OSError:\n # blocked by security policy like SECCOMP\n return False\n return True\n\n\nclass _UnixDefaultEventLoopPolicy(events.BaseDefaultEventLoopPolicy):\n \"\"\"UNIX event loop policy with a watcher for child processes.\"\"\"\n _loop_factory = _UnixSelectorEventLoop\n\n def __init__(self):\n super().__init__()\n self._watcher = None\n\n def _init_watcher(self):\n with events._lock:\n if self._watcher is None: # pragma: no branch\n if can_use_pidfd():\n self._watcher = PidfdChildWatcher()\n else:\n self._watcher = ThreadedChildWatcher()\n\n def set_event_loop(self, loop):\n \"\"\"Set the event loop.\n\n As a side effect, if a child watcher was set before, then calling\n .set_event_loop() from the main thread will call .attach_loop(loop) on\n the child watcher.\n \"\"\"\n\n super().set_event_loop(loop)\n\n if (self._watcher is not None and\n threading.current_thread() is threading.main_thread()):\n self._watcher.attach_loop(loop)\n\n def get_child_watcher(self):\n \"\"\"Get the watcher for child processes.\n\n If not yet set, a ThreadedChildWatcher object is automatically created.\n \"\"\"\n if self._watcher is None:\n self._init_watcher()\n\n warnings._deprecated(\"get_child_watcher\",\n \"{name!r} is deprecated as of Python 3.12 and will be \"\n \"removed in Python {remove}.\", remove=(3, 14))\n return self._watcher\n\n def set_child_watcher(self, watcher):\n \"\"\"Set the watcher for child processes.\"\"\"\n\n assert watcher is None or isinstance(watcher, AbstractChildWatcher)\n\n if self._watcher is not None:\n self._watcher.close()\n\n self._watcher = watcher\n warnings._deprecated(\"set_child_watcher\",\n \"{name!r} is deprecated as of Python 3.12 and will be \"\n \"removed in Python {remove}.\", remove=(3, 14))\n\n\nSelectorEventLoop = _UnixSelectorEventLoop\nDefaultEventLoopPolicy = _UnixDefaultEventLoopPolicy\n", 1500], "": ["r\"\"\"OS routines for NT or Posix depending on what system we're on.\n\nThis exports:\n - all functions from posix or nt, e.g. unlink, stat, etc.\n - os.path is either posixpath or ntpath\n - os.name is either 'posix' or 'nt'\n - os.curdir is a string representing the current directory (always '.')\n - os.pardir is a string representing the parent directory (always '..')\n - os.sep is the (or a most common) pathname separator ('/' or '\\\\')\n - os.extsep is the extension separator (always '.')\n - os.altsep is the alternate pathname separator (None or '/')\n - os.pathsep is the component separator used in $PATH etc\n - os.linesep is the line separator in text files ('\\r' or '\\n' or '\\r\\n')\n - os.defpath is the default search path for executables\n - os.devnull is the file path of the null device ('/dev/null', etc.)\n\nPrograms that import and use 'os' stand a better chance of being\nportable between different platforms. Of course, they must then\nonly use functions that are defined by all platforms (e.g., unlink\nand opendir), and leave all pathname manipulation to os.path\n(e.g., split and join).\n\"\"\"\n\n#'\nimport abc\nimport sys\nimport stat as st\n\nfrom _collections_abc import _check_methods\n\nGenericAlias = type(list[int])\n\n_names = sys.builtin_module_names\n\n# Note: more names are added to __all__ later.\n__all__ = [\"altsep\", \"curdir\", \"pardir\", \"sep\", \"pathsep\", \"linesep\",\n \"defpath\", \"name\", \"path\", \"devnull\", \"SEEK_SET\", \"SEEK_CUR\",\n \"SEEK_END\", \"fsencode\", \"fsdecode\", \"get_exec_path\", \"fdopen\",\n \"extsep\"]\n\ndef _exists(name):\n return name in globals()\n\ndef _get_exports_list(module):\n try:\n return list(module.__all__)\n except AttributeError:\n return [n for n in dir(module) if n[0] != '_']\n\n# Any new dependencies of the os module and/or changes in path separator\n# requires updating importlib as well.\nif 'posix' in _names:\n name = 'posix'\n linesep = '\\n'\n from posix import *\n try:\n from posix import _exit\n __all__.append('_exit')\n except ImportError:\n pass\n import posixpath as path\n\n try:\n from posix import _have_functions\n except ImportError:\n pass\n\n import posix\n __all__.extend(_get_exports_list(posix))\n del posix\n\nelif 'nt' in _names:\n name = 'nt'\n linesep = '\\r\\n'\n from nt import *\n try:\n from nt import _exit\n __all__.append('_exit')\n except ImportError:\n pass\n import ntpath as path\n\n import nt\n __all__.extend(_get_exports_list(nt))\n del nt\n\n try:\n from nt import _have_functions\n except ImportError:\n pass\n\nelse:\n raise ImportError('no os specific module found')\n\nsys.modules['os.path'] = path\nfrom os.path import (curdir, pardir, sep, pathsep, defpath, extsep, altsep,\n devnull)\n\ndel _names\n\n\nif _exists(\"_have_functions\"):\n _globals = globals()\n def _add(str, fn):\n if (fn in _globals) and (str in _have_functions):\n _set.add(_globals[fn])\n\n _set = set()\n _add(\"HAVE_FACCESSAT\", \"access\")\n _add(\"HAVE_FCHMODAT\", \"chmod\")\n _add(\"HAVE_FCHOWNAT\", \"chown\")\n _add(\"HAVE_FSTATAT\", \"stat\")\n _add(\"HAVE_FUTIMESAT\", \"utime\")\n _add(\"HAVE_LINKAT\", \"link\")\n _add(\"HAVE_MKDIRAT\", \"mkdir\")\n _add(\"HAVE_MKFIFOAT\", \"mkfifo\")\n _add(\"HAVE_MKNODAT\", \"mknod\")\n _add(\"HAVE_OPENAT\", \"open\")\n _add(\"HAVE_READLINKAT\", \"readlink\")\n _add(\"HAVE_RENAMEAT\", \"rename\")\n _add(\"HAVE_SYMLINKAT\", \"symlink\")\n _add(\"HAVE_UNLINKAT\", \"unlink\")\n _add(\"HAVE_UNLINKAT\", \"rmdir\")\n _add(\"HAVE_UTIMENSAT\", \"utime\")\n supports_dir_fd = _set\n\n _set = set()\n _add(\"HAVE_FACCESSAT\", \"access\")\n supports_effective_ids = _set\n\n _set = set()\n _add(\"HAVE_FCHDIR\", \"chdir\")\n _add(\"HAVE_FCHMOD\", \"chmod\")\n _add(\"HAVE_FCHOWN\", \"chown\")\n _add(\"HAVE_FDOPENDIR\", \"listdir\")\n _add(\"HAVE_FDOPENDIR\", \"scandir\")\n _add(\"HAVE_FEXECVE\", \"execve\")\n _set.add(stat) # fstat always works\n _add(\"HAVE_FTRUNCATE\", \"truncate\")\n _add(\"HAVE_FUTIMENS\", \"utime\")\n _add(\"HAVE_FUTIMES\", \"utime\")\n _add(\"HAVE_FPATHCONF\", \"pathconf\")\n if _exists(\"statvfs\") and _exists(\"fstatvfs\"): # mac os x10.3\n _add(\"HAVE_FSTATVFS\", \"statvfs\")\n supports_fd = _set\n\n _set = set()\n _add(\"HAVE_FACCESSAT\", \"access\")\n # Some platforms don't support lchmod(). Often the function exists\n # anyway, as a stub that always returns ENOSUP or perhaps EOPNOTSUPP.\n # (No, I don't know why that's a good design.) ./configure will detect\n # this and reject it--so HAVE_LCHMOD still won't be defined on such\n # platforms. This is Very Helpful.\n #\n # However, sometimes platforms without a working lchmod() *do* have\n # fchmodat(). (Examples: Linux kernel 3.2 with glibc 2.15,\n # OpenIndiana 3.x.) And fchmodat() has a flag that theoretically makes\n # it behave like lchmod(). So in theory it would be a suitable\n # replacement for lchmod(). But when lchmod() doesn't work, fchmodat()'s\n # flag doesn't work *either*. Sadly ./configure isn't sophisticated\n # enough to detect this condition--it only determines whether or not\n # fchmodat() minimally works.\n #\n # Therefore we simply ignore fchmodat() when deciding whether or not\n # os.chmod supports follow_symlinks. Just checking lchmod() is\n # sufficient. After all--if you have a working fchmodat(), your\n # lchmod() almost certainly works too.\n #\n # _add(\"HAVE_FCHMODAT\", \"chmod\")\n _add(\"HAVE_FCHOWNAT\", \"chown\")\n _add(\"HAVE_FSTATAT\", \"stat\")\n _add(\"HAVE_LCHFLAGS\", \"chflags\")\n _add(\"HAVE_LCHMOD\", \"chmod\")\n if _exists(\"lchown\"): # mac os x10.3\n _add(\"HAVE_LCHOWN\", \"chown\")\n _add(\"HAVE_LINKAT\", \"link\")\n _add(\"HAVE_LUTIMES\", \"utime\")\n _add(\"HAVE_LSTAT\", \"stat\")\n _add(\"HAVE_FSTATAT\", \"stat\")\n _add(\"HAVE_UTIMENSAT\", \"utime\")\n _add(\"MS_WINDOWS\", \"stat\")\n supports_follow_symlinks = _set\n\n del _set\n del _have_functions\n del _globals\n del _add\n\n\n# Python uses fixed values for the SEEK_ constants; they are mapped\n# to native constants if necessary in posixmodule.c\n# Other possible SEEK values are directly imported from posixmodule.c\nSEEK_SET = 0\nSEEK_CUR = 1\nSEEK_END = 2\n\n# Super directory utilities.\n# (Inspired by Eric Raymond; the doc strings are mostly his)\n\ndef makedirs(name, mode=0o777, exist_ok=False):\n \"\"\"makedirs(name [, mode=0o777][, exist_ok=False])\n\n Super-mkdir; create a leaf directory and all intermediate ones. Works like\n mkdir, except that any intermediate path segment (not just the rightmost)\n will be created if it does not exist. If the target directory already\n exists, raise an OSError if exist_ok is False. Otherwise no exception is\n raised. This is recursive.\n\n \"\"\"\n head, tail = path.split(name)\n if not tail:\n head, tail = path.split(head)\n if head and tail and not path.exists(head):\n try:\n makedirs(head, exist_ok=exist_ok)\n except FileExistsError:\n # Defeats race condition when another thread created the path\n pass\n cdir = curdir\n if isinstance(tail, bytes):\n cdir = bytes(curdir, 'ASCII')\n if tail == cdir: # xxx/newdir/. exists if xxx/newdir exists\n return\n try:\n mkdir(name, mode)\n except OSError:\n # Cannot rely on checking for EEXIST, since the operating system\n # could give priority to other errors like EACCES or EROFS\n if not exist_ok or not path.isdir(name):\n raise\n\ndef removedirs(name):\n \"\"\"removedirs(name)\n\n Super-rmdir; remove a leaf directory and all empty intermediate\n ones. Works like rmdir except that, if the leaf directory is\n successfully removed, directories corresponding to rightmost path\n segments will be pruned away until either the whole path is\n consumed or an error occurs. Errors during this latter phase are\n ignored -- they generally mean that a directory was not empty.\n\n \"\"\"\n rmdir(name)\n head, tail = path.split(name)\n if not tail:\n head, tail = path.split(head)\n while head and tail:\n try:\n rmdir(head)\n except OSError:\n break\n head, tail = path.split(head)\n\ndef renames(old, new):\n \"\"\"renames(old, new)\n\n Super-rename; create directories as necessary and delete any left\n empty. Works like rename, except creation of any intermediate\n directories needed to make the new pathname good is attempted\n first. After the rename, directories corresponding to rightmost\n path segments of the old name will be pruned until either the\n whole path is consumed or a nonempty directory is found.\n\n Note: this function can fail with the new directory structure made\n if you lack permissions needed to unlink the leaf directory or\n file.\n\n \"\"\"\n head, tail = path.split(new)\n if head and tail and not path.exists(head):\n makedirs(head)\n rename(old, new)\n head, tail = path.split(old)\n if head and tail:\n try:\n removedirs(head)\n except OSError:\n pass\n\n__all__.extend([\"makedirs\", \"removedirs\", \"renames\"])\n\ndef walk(top, topdown=True, onerror=None, followlinks=False):\n \"\"\"Directory tree generator.\n\n For each directory in the directory tree rooted at top (including top\n itself, but excluding '.' and '..'), yields a 3-tuple\n\n dirpath, dirnames, filenames\n\n dirpath is a string, the path to the directory. dirnames is a list of\n the names of the subdirectories in dirpath (including symlinks to directories,\n and excluding '.' and '..').\n filenames is a list of the names of the non-directory files in dirpath.\n Note that the names in the lists are just names, with no path components.\n To get a full path (which begins with top) to a file or directory in\n dirpath, do os.path.join(dirpath, name).\n\n If optional arg 'topdown' is true or not specified, the triple for a\n directory is generated before the triples for any of its subdirectories\n (directories are generated top down). If topdown is false, the triple\n for a directory is generated after the triples for all of its\n subdirectories (directories are generated bottom up).\n\n When topdown is true, the caller can modify the dirnames list in-place\n (e.g., via del or slice assignment), and walk will only recurse into the\n subdirectories whose names remain in dirnames; this can be used to prune the\n search, or to impose a specific order of visiting. Modifying dirnames when\n topdown is false has no effect on the behavior of os.walk(), since the\n directories in dirnames have already been generated by the time dirnames\n itself is generated. No matter the value of topdown, the list of\n subdirectories is retrieved before the tuples for the directory and its\n subdirectories are generated.\n\n By default errors from the os.scandir() call are ignored. If\n optional arg 'onerror' is specified, it should be a function; it\n will be called with one argument, an OSError instance. It can\n report the error to continue with the walk, or raise the exception\n to abort the walk. Note that the filename is available as the\n filename attribute of the exception object.\n\n By default, os.walk does not follow symbolic links to subdirectories on\n systems that support them. In order to get this functionality, set the\n optional argument 'followlinks' to true.\n\n Caution: if you pass a relative pathname for top, don't change the\n current working directory between resumptions of walk. walk never\n changes the current directory, and assumes that the client doesn't\n either.\n\n Example:\n\n import os\n from os.path import join, getsize\n for root, dirs, files in os.walk('python/Lib/email'):\n print(root, \"consumes \")\n print(sum(getsize(join(root, name)) for name in files), end=\" \")\n print(\"bytes in\", len(files), \"non-directory files\")\n if 'CVS' in dirs:\n dirs.remove('CVS') # don't visit CVS directories\n\n \"\"\"\n sys.audit(\"os.walk\", top, topdown, onerror, followlinks)\n\n stack = [fspath(top)]\n islink, join = path.islink, path.join\n while stack:\n top = stack.pop()\n if isinstance(top, tuple):\n yield top\n continue\n\n dirs = []\n nondirs = []\n walk_dirs = []\n\n # We may not have read permission for top, in which case we can't\n # get a list of the files the directory contains.\n # We suppress the exception here, rather than blow up for a\n # minor reason when (say) a thousand readable directories are still\n # left to visit.\n try:\n scandir_it = scandir(top)\n except OSError as error:\n if onerror is not None:\n onerror(error)\n continue\n\n cont = False\n with scandir_it:\n while True:\n try:\n try:\n entry = next(scandir_it)\n except StopIteration:\n break\n except OSError as error:\n if onerror is not None:\n onerror(error)\n cont = True\n break\n\n try:\n is_dir = entry.is_dir()\n except OSError:\n # If is_dir() raises an OSError, consider the entry not to\n # be a directory, same behaviour as os.path.isdir().\n is_dir = False\n\n if is_dir:\n dirs.append(entry.name)\n else:\n nondirs.append(entry.name)\n\n if not topdown and is_dir:\n # Bottom-up: traverse into sub-directory, but exclude\n # symlinks to directories if followlinks is False\n if followlinks:\n walk_into = True\n else:\n try:\n is_symlink = entry.is_symlink()\n except OSError:\n # If is_symlink() raises an OSError, consider the\n # entry not to be a symbolic link, same behaviour\n # as os.path.islink().\n is_symlink = False\n walk_into = not is_symlink\n\n if walk_into:\n walk_dirs.append(entry.path)\n if cont:\n continue\n\n if topdown:\n # Yield before sub-directory traversal if going top down\n yield top, dirs, nondirs\n # Traverse into sub-directories\n for dirname in reversed(dirs):\n new_path = join(top, dirname)\n # bpo-23605: os.path.islink() is used instead of caching\n # entry.is_symlink() result during the loop on os.scandir() because\n # the caller can replace the directory entry during the \"yield\"\n # above.\n if followlinks or not islink(new_path):\n stack.append(new_path)\n else:\n # Yield after sub-directory traversal if going bottom up\n stack.append((top, dirs, nondirs))\n # Traverse into sub-directories\n for new_path in reversed(walk_dirs):\n stack.append(new_path)\n\n__all__.append(\"walk\")\n\nif {open, stat} <= supports_dir_fd and {scandir, stat} <= supports_fd:\n\n def fwalk(top=\".\", topdown=True, onerror=None, *, follow_symlinks=False, dir_fd=None):\n \"\"\"Directory tree generator.\n\n This behaves exactly like walk(), except that it yields a 4-tuple\n\n dirpath, dirnames, filenames, dirfd\n\n `dirpath`, `dirnames` and `filenames` are identical to walk() output,\n and `dirfd` is a file descriptor referring to the directory `dirpath`.\n\n The advantage of fwalk() over walk() is that it's safe against symlink\n races (when follow_symlinks is False).\n\n If dir_fd is not None, it should be a file descriptor open to a directory,\n and top should be relative; top will then be relative to that directory.\n (dir_fd is always supported for fwalk.)\n\n Caution:\n Since fwalk() yields file descriptors, those are only valid until the\n next iteration step, so you should dup() them if you want to keep them\n for a longer period.\n\n Example:\n\n import os\n for root, dirs, files, rootfd in os.fwalk('python/Lib/email'):\n print(root, \"consumes\", end=\"\")\n print(sum(os.stat(name, dir_fd=rootfd).st_size for name in files),\n end=\"\")\n print(\"bytes in\", len(files), \"non-directory files\")\n if 'CVS' in dirs:\n dirs.remove('CVS') # don't visit CVS directories\n \"\"\"\n sys.audit(\"os.fwalk\", top, topdown, onerror, follow_symlinks, dir_fd)\n top = fspath(top)\n # Note: To guard against symlink races, we use the standard\n # lstat()/open()/fstat() trick.\n if not follow_symlinks:\n orig_st = stat(top, follow_symlinks=False, dir_fd=dir_fd)\n topfd = open(top, O_RDONLY | O_NONBLOCK, dir_fd=dir_fd)\n try:\n if (follow_symlinks or (st.S_ISDIR(orig_st.st_mode) and\n path.samestat(orig_st, stat(topfd)))):\n yield from _fwalk(topfd, top, isinstance(top, bytes),\n topdown, onerror, follow_symlinks)\n finally:\n close(topfd)\n\n def _fwalk(topfd, toppath, isbytes, topdown, onerror, follow_symlinks):\n # Note: This uses O(depth of the directory tree) file descriptors: if\n # necessary, it can be adapted to only require O(1) FDs, see issue\n # #13734.\n\n scandir_it = scandir(topfd)\n dirs = []\n nondirs = []\n entries = None if topdown or follow_symlinks else []\n for entry in scandir_it:\n name = entry.name\n if isbytes:\n name = fsencode(name)\n try:\n if entry.is_dir():\n dirs.append(name)\n if entries is not None:\n entries.append(entry)\n else:\n nondirs.append(name)\n except OSError:\n try:\n # Add dangling symlinks, ignore disappeared files\n if entry.is_symlink():\n nondirs.append(name)\n except OSError:\n pass\n\n if topdown:\n yield toppath, dirs, nondirs, topfd\n\n for name in dirs if entries is None else zip(dirs, entries):\n try:\n if not follow_symlinks:\n if topdown:\n orig_st = stat(name, dir_fd=topfd, follow_symlinks=False)\n else:\n assert entries is not None\n name, entry = name\n orig_st = entry.stat(follow_symlinks=False)\n dirfd = open(name, O_RDONLY | O_NONBLOCK, dir_fd=topfd)\n except OSError as err:\n if onerror is not None:\n onerror(err)\n continue\n try:\n if follow_symlinks or path.samestat(orig_st, stat(dirfd)):\n dirpath = path.join(toppath, name)\n yield from _fwalk(dirfd, dirpath, isbytes,\n topdown, onerror, follow_symlinks)\n finally:\n close(dirfd)\n\n if not topdown:\n yield toppath, dirs, nondirs, topfd\n\n __all__.append(\"fwalk\")\n\ndef execl(file, *args):\n \"\"\"execl(file, *args)\n\n Execute the executable file with argument list args, replacing the\n current process. \"\"\"\n execv(file, args)\n\ndef execle(file, *args):\n \"\"\"execle(file, *args, env)\n\n Execute the executable file with argument list args and\n environment env, replacing the current process. \"\"\"\n env = args[-1]\n execve(file, args[:-1], env)\n\ndef execlp(file, *args):\n \"\"\"execlp(file, *args)\n\n Execute the executable file (which is searched for along $PATH)\n with argument list args, replacing the current process. \"\"\"\n execvp(file, args)\n\ndef execlpe(file, *args):\n \"\"\"execlpe(file, *args, env)\n\n Execute the executable file (which is searched for along $PATH)\n with argument list args and environment env, replacing the current\n process. \"\"\"\n env = args[-1]\n execvpe(file, args[:-1], env)\n\ndef execvp(file, args):\n \"\"\"execvp(file, args)\n\n Execute the executable file (which is searched for along $PATH)\n with argument list args, replacing the current process.\n args may be a list or tuple of strings. \"\"\"\n _execvpe(file, args)\n\ndef execvpe(file, args, env):\n \"\"\"execvpe(file, args, env)\n\n Execute the executable file (which is searched for along $PATH)\n with argument list args and environment env, replacing the\n current process.\n args may be a list or tuple of strings. \"\"\"\n _execvpe(file, args, env)\n\n__all__.extend([\"execl\",\"execle\",\"execlp\",\"execlpe\",\"execvp\",\"execvpe\"])\n\ndef _execvpe(file, args, env=None):\n if env is not None:\n exec_func = execve\n argrest = (args, env)\n else:\n exec_func = execv\n argrest = (args,)\n env = environ\n\n if path.dirname(file):\n exec_func(file, *argrest)\n return\n saved_exc = None\n path_list = get_exec_path(env)\n if name != 'nt':\n file = fsencode(file)\n path_list = map(fsencode, path_list)\n for dir in path_list:\n fullname = path.join(dir, file)\n try:\n exec_func(fullname, *argrest)\n except (FileNotFoundError, NotADirectoryError) as e:\n last_exc = e\n except OSError as e:\n last_exc = e\n if saved_exc is None:\n saved_exc = e\n if saved_exc is not None:\n raise saved_exc\n raise last_exc\n\n\ndef get_exec_path(env=None):\n \"\"\"Returns the sequence of directories that will be searched for the\n named executable (similar to a shell) when launching a process.\n\n *env* must be an environment variable dict or None. If *env* is None,\n os.environ will be used.\n \"\"\"\n # Use a local import instead of a global import to limit the number of\n # modules loaded at startup: the os module is always loaded at startup by\n # Python. It may also avoid a bootstrap issue.\n import warnings\n\n if env is None:\n env = environ\n\n # {b'PATH': ...}.get('PATH') and {'PATH': ...}.get(b'PATH') emit a\n # BytesWarning when using python -b or python -bb: ignore the warning\n with warnings.catch_warnings():\n warnings.simplefilter(\"ignore\", BytesWarning)\n\n try:\n path_list = env.get('PATH')\n except TypeError:\n path_list = None\n\n if supports_bytes_environ:\n try:\n path_listb = env[b'PATH']\n except (KeyError, TypeError):\n pass\n else:\n if path_list is not None:\n raise ValueError(\n \"env cannot contain 'PATH' and b'PATH' keys\")\n path_list = path_listb\n\n if path_list is not None and isinstance(path_list, bytes):\n path_list = fsdecode(path_list)\n\n if path_list is None:\n path_list = defpath\n return path_list.split(pathsep)\n\n\n# Change environ to automatically call putenv() and unsetenv()\nfrom _collections_abc import MutableMapping, Mapping\n\nclass _Environ(MutableMapping):\n def __init__(self, data, encodekey, decodekey, encodevalue, decodevalue):\n self.encodekey = encodekey\n self.decodekey = decodekey\n self.encodevalue = encodevalue\n self.decodevalue = decodevalue\n self._data = data\n\n def __getitem__(self, key):\n try:\n value = self._data[self.encodekey(key)]\n except KeyError:\n # raise KeyError with the original key value\n raise KeyError(key) from None\n return self.decodevalue(value)\n\n def __setitem__(self, key, value):\n key = self.encodekey(key)\n value = self.encodevalue(value)\n putenv(key, value)\n self._data[key] = value\n\n def __delitem__(self, key):\n encodedkey = self.encodekey(key)\n unsetenv(encodedkey)\n try:\n del self._data[encodedkey]\n except KeyError:\n # raise KeyError with the original key value\n raise KeyError(key) from None\n\n def __iter__(self):\n # list() from dict object is an atomic operation\n keys = list(self._data)\n for key in keys:\n yield self.decodekey(key)\n\n def __len__(self):\n return len(self._data)\n\n def __repr__(self):\n formatted_items = \", \".join(\n f\"{self.decodekey(key)!r}: {self.decodevalue(value)!r}\"\n for key, value in self._data.items()\n )\n return f\"environ({{{formatted_items}}})\"\n\n def copy(self):\n return dict(self)\n\n def setdefault(self, key, value):\n if key not in self:\n self[key] = value\n return self[key]\n\n def __ior__(self, other):\n self.update(other)\n return self\n\n def __or__(self, other):\n if not isinstance(other, Mapping):\n return NotImplemented\n new = dict(self)\n new.update(other)\n return new\n\n def __ror__(self, other):\n if not isinstance(other, Mapping):\n return NotImplemented\n new = dict(other)\n new.update(self)\n return new\n\ndef _createenviron():\n if name == 'nt':\n # Where Env Var Names Must Be UPPERCASE\n def check_str(value):\n if not isinstance(value, str):\n raise TypeError(\"str expected, not %s\" % type(value).__name__)\n return value\n encode = check_str\n decode = str\n def encodekey(key):\n return encode(key).upper()\n data = {}\n for key, value in environ.items():\n data[encodekey(key)] = value\n else:\n # Where Env Var Names Can Be Mixed Case\n encoding = sys.getfilesystemencoding()\n def encode(value):\n if not isinstance(value, str):\n raise TypeError(\"str expected, not %s\" % type(value).__name__)\n return value.encode(encoding, 'surrogateescape')\n def decode(value):\n return value.decode(encoding, 'surrogateescape')\n encodekey = encode\n data = environ\n return _Environ(data,\n encodekey, decode,\n encode, decode)\n\n# unicode environ\nenviron = _createenviron()\ndel _createenviron\n\n\ndef getenv(key, default=None):\n \"\"\"Get an environment variable, return None if it doesn't exist.\n The optional second argument can specify an alternate default.\n key, default and the result are str.\"\"\"\n return environ.get(key, default)\n\nsupports_bytes_environ = (name != 'nt')\n__all__.extend((\"getenv\", \"supports_bytes_environ\"))\n\nif supports_bytes_environ:\n def _check_bytes(value):\n if not isinstance(value, bytes):\n raise TypeError(\"bytes expected, not %s\" % type(value).__name__)\n return value\n\n # bytes environ\n environb = _Environ(environ._data,\n _check_bytes, bytes,\n _check_bytes, bytes)\n del _check_bytes\n\n def getenvb(key, default=None):\n \"\"\"Get an environment variable, return None if it doesn't exist.\n The optional second argument can specify an alternate default.\n key, default and the result are bytes.\"\"\"\n return environb.get(key, default)\n\n __all__.extend((\"environb\", \"getenvb\"))\n\ndef _fscodec():\n encoding = sys.getfilesystemencoding()\n errors = sys.getfilesystemencodeerrors()\n\n def fsencode(filename):\n \"\"\"Encode filename (an os.PathLike, bytes, or str) to the filesystem\n encoding with 'surrogateescape' error handler, return bytes unchanged.\n On Windows, use 'strict' error handler if the file system encoding is\n 'mbcs' (which is the default encoding).\n \"\"\"\n filename = fspath(filename) # Does type-checking of `filename`.\n if isinstance(filename, str):\n return filename.encode(encoding, errors)\n else:\n return filename\n\n def fsdecode(filename):\n \"\"\"Decode filename (an os.PathLike, bytes, or str) from the filesystem\n encoding with 'surrogateescape' error handler, return str unchanged. On\n Windows, use 'strict' error handler if the file system encoding is\n 'mbcs' (which is the default encoding).\n \"\"\"\n filename = fspath(filename) # Does type-checking of `filename`.\n if isinstance(filename, bytes):\n return filename.decode(encoding, errors)\n else:\n return filename\n\n return fsencode, fsdecode\n\nfsencode, fsdecode = _fscodec()\ndel _fscodec\n\n# Supply spawn*() (probably only for Unix)\nif _exists(\"fork\") and not _exists(\"spawnv\") and _exists(\"execv\"):\n\n P_WAIT = 0\n P_NOWAIT = P_NOWAITO = 1\n\n __all__.extend([\"P_WAIT\", \"P_NOWAIT\", \"P_NOWAITO\"])\n\n # XXX Should we support P_DETACH? I suppose it could fork()**2\n # and close the std I/O streams. Also, P_OVERLAY is the same\n # as execv*()?\n\n def _spawnvef(mode, file, args, env, func):\n # Internal helper; func is the exec*() function to use\n if not isinstance(args, (tuple, list)):\n raise TypeError('argv must be a tuple or a list')\n if not args or not args[0]:\n raise ValueError('argv first element cannot be empty')\n pid = fork()\n if not pid:\n # Child\n try:\n if env is None:\n func(file, args)\n else:\n func(file, args, env)\n except:\n _exit(127)\n else:\n # Parent\n if mode == P_NOWAIT:\n return pid # Caller is responsible for waiting!\n while 1:\n wpid, sts = waitpid(pid, 0)\n if WIFSTOPPED(sts):\n continue\n\n return waitstatus_to_exitcode(sts)\n\n def spawnv(mode, file, args):\n \"\"\"spawnv(mode, file, args) -> integer\n\nExecute file with arguments from args in a subprocess.\nIf mode == P_NOWAIT return the pid of the process.\nIf mode == P_WAIT return the process's exit code if it exits normally;\notherwise return -SIG, where SIG is the signal that killed it. \"\"\"\n return _spawnvef(mode, file, args, None, execv)\n\n def spawnve(mode, file, args, env):\n \"\"\"spawnve(mode, file, args, env) -> integer\n\nExecute file with arguments from args in a subprocess with the\nspecified environment.\nIf mode == P_NOWAIT return the pid of the process.\nIf mode == P_WAIT return the process's exit code if it exits normally;\notherwise return -SIG, where SIG is the signal that killed it. \"\"\"\n return _spawnvef(mode, file, args, env, execve)\n\n # Note: spawnvp[e] isn't currently supported on Windows\n\n def spawnvp(mode, file, args):\n \"\"\"spawnvp(mode, file, args) -> integer\n\nExecute file (which is looked for along $PATH) with arguments from\nargs in a subprocess.\nIf mode == P_NOWAIT return the pid of the process.\nIf mode == P_WAIT return the process's exit code if it exits normally;\notherwise return -SIG, where SIG is the signal that killed it. \"\"\"\n return _spawnvef(mode, file, args, None, execvp)\n\n def spawnvpe(mode, file, args, env):\n \"\"\"spawnvpe(mode, file, args, env) -> integer\n\nExecute file (which is looked for along $PATH) with arguments from\nargs in a subprocess with the supplied environment.\nIf mode == P_NOWAIT return the pid of the process.\nIf mode == P_WAIT return the process's exit code if it exits normally;\notherwise return -SIG, where SIG is the signal that killed it. \"\"\"\n return _spawnvef(mode, file, args, env, execvpe)\n\n\n __all__.extend([\"spawnv\", \"spawnve\", \"spawnvp\", \"spawnvpe\"])\n\n\nif _exists(\"spawnv\"):\n # These aren't supplied by the basic Windows code\n # but can be easily implemented in Python\n\n def spawnl(mode, file, *args):\n \"\"\"spawnl(mode, file, *args) -> integer\n\nExecute file with arguments from args in a subprocess.\nIf mode == P_NOWAIT return the pid of the process.\nIf mode == P_WAIT return the process's exit code if it exits normally;\notherwise return -SIG, where SIG is the signal that killed it. \"\"\"\n return spawnv(mode, file, args)\n\n def spawnle(mode, file, *args):\n \"\"\"spawnle(mode, file, *args, env) -> integer\n\nExecute file with arguments from args in a subprocess with the\nsupplied environment.\nIf mode == P_NOWAIT return the pid of the process.\nIf mode == P_WAIT return the process's exit code if it exits normally;\notherwise return -SIG, where SIG is the signal that killed it. \"\"\"\n env = args[-1]\n return spawnve(mode, file, args[:-1], env)\n\n\n __all__.extend([\"spawnl\", \"spawnle\"])\n\n\nif _exists(\"spawnvp\"):\n # At the moment, Windows doesn't implement spawnvp[e],\n # so it won't have spawnlp[e] either.\n def spawnlp(mode, file, *args):\n \"\"\"spawnlp(mode, file, *args) -> integer\n\nExecute file (which is looked for along $PATH) with arguments from\nargs in a subprocess with the supplied environment.\nIf mode == P_NOWAIT return the pid of the process.\nIf mode == P_WAIT return the process's exit code if it exits normally;\notherwise return -SIG, where SIG is the signal that killed it. \"\"\"\n return spawnvp(mode, file, args)\n\n def spawnlpe(mode, file, *args):\n \"\"\"spawnlpe(mode, file, *args, env) -> integer\n\nExecute file (which is looked for along $PATH) with arguments from\nargs in a subprocess with the supplied environment.\nIf mode == P_NOWAIT return the pid of the process.\nIf mode == P_WAIT return the process's exit code if it exits normally;\notherwise return -SIG, where SIG is the signal that killed it. \"\"\"\n env = args[-1]\n return spawnvpe(mode, file, args[:-1], env)\n\n\n __all__.extend([\"spawnlp\", \"spawnlpe\"])\n\n# VxWorks has no user space shell provided. As a result, running\n# command in a shell can't be supported.\nif sys.platform != 'vxworks':\n # Supply os.popen()\n def popen(cmd, mode=\"r\", buffering=-1):\n if not isinstance(cmd, str):\n raise TypeError(\"invalid cmd type (%s, expected string)\" % type(cmd))\n if mode not in (\"r\", \"w\"):\n raise ValueError(\"invalid mode %r\" % mode)\n if buffering == 0 or buffering is None:\n raise ValueError(\"popen() does not support unbuffered streams\")\n import subprocess\n if mode == \"r\":\n proc = subprocess.Popen(cmd,\n shell=True, text=True,\n stdout=subprocess.PIPE,\n bufsize=buffering)\n return _wrap_close(proc.stdout, proc)\n else:\n proc = subprocess.Popen(cmd,\n shell=True, text=True,\n stdin=subprocess.PIPE,\n bufsize=buffering)\n return _wrap_close(proc.stdin, proc)\n\n # Helper for popen() -- a proxy for a file whose close waits for the process\n class _wrap_close:\n def __init__(self, stream, proc):\n self._stream = stream\n self._proc = proc\n def close(self):\n self._stream.close()\n returncode = self._proc.wait()\n if returncode == 0:\n return None\n if name == 'nt':\n return returncode\n else:\n return returncode << 8 # Shift left to match old behavior\n def __enter__(self):\n return self\n def __exit__(self, *args):\n self.close()\n def __getattr__(self, name):\n return getattr(self._stream, name)\n def __iter__(self):\n return iter(self._stream)\n\n __all__.append(\"popen\")\n\n# Supply os.fdopen()\ndef fdopen(fd, mode=\"r\", buffering=-1, encoding=None, *args, **kwargs):\n if not isinstance(fd, int):\n raise TypeError(\"invalid fd type (%s, expected integer)\" % type(fd))\n import io\n if \"b\" not in mode:\n encoding = io.text_encoding(encoding)\n return io.open(fd, mode, buffering, encoding, *args, **kwargs)\n\n\n# For testing purposes, make sure the function is available when the C\n# implementation exists.\ndef _fspath(path):\n \"\"\"Return the path representation of a path-like object.\n\n If str or bytes is passed in, it is returned unchanged. Otherwise the\n os.PathLike interface is used to get the path representation. If the\n path representation is not str or bytes, TypeError is raised. If the\n provided path is not str, bytes, or os.PathLike, TypeError is raised.\n \"\"\"\n if isinstance(path, (str, bytes)):\n return path\n\n # Work from the object's type to match method resolution of other magic\n # methods.\n path_type = type(path)\n try:\n path_repr = path_type.__fspath__(path)\n except AttributeError:\n if hasattr(path_type, '__fspath__'):\n raise\n else:\n raise TypeError(\"expected str, bytes or os.PathLike object, \"\n \"not \" + path_type.__name__)\n if isinstance(path_repr, (str, bytes)):\n return path_repr\n else:\n raise TypeError(\"expected {}.__fspath__() to return str or bytes, \"\n \"not {}\".format(path_type.__name__,\n type(path_repr).__name__))\n\n# If there is no C implementation, make the pure Python version the\n# implementation as transparently as possible.\nif not _exists('fspath'):\n fspath = _fspath\n fspath.__name__ = \"fspath\"\n\n\nclass PathLike(abc.ABC):\n\n \"\"\"Abstract base class for implementing the file system path protocol.\"\"\"\n\n @abc.abstractmethod\n def __fspath__(self):\n \"\"\"Return the file system path representation of the object.\"\"\"\n raise NotImplementedError\n\n @classmethod\n def __subclasshook__(cls, subclass):\n if cls is PathLike:\n return _check_methods(subclass, '__fspath__')\n return NotImplemented\n\n __class_getitem__ = classmethod(GenericAlias)\n\n\nif name == 'nt':\n class _AddedDllDirectory:\n def __init__(self, path, cookie, remove_dll_directory):\n self.path = path\n self._cookie = cookie\n self._remove_dll_directory = remove_dll_directory\n def close(self):\n self._remove_dll_directory(self._cookie)\n self.path = None\n def __enter__(self):\n return self\n def __exit__(self, *args):\n self.close()\n def __repr__(self):\n if self.path:\n return \"\".format(self.path)\n return \"\"\n\n def add_dll_directory(path):\n \"\"\"Add a path to the DLL search path.\n\n This search path is used when resolving dependencies for imported\n extension modules (the module itself is resolved through sys.path),\n and also by ctypes.\n\n Remove the directory by calling close() on the returned object or\n using it in a with statement.\n \"\"\"\n import nt\n cookie = nt._add_dll_directory(path)\n return _AddedDllDirectory(\n path,\n cookie,\n nt._remove_dll_directory\n )\n", 1130], "": ["# Copyright 2007 Google, Inc. All Rights Reserved.\n# Licensed to PSF under a Contributor Agreement.\n\n\"\"\"Abstract Base Classes (ABCs) for collections, according to PEP 3119.\n\nUnit tests are in test_collections.\n\"\"\"\n\n############ Maintenance notes #########################################\n#\n# ABCs are different from other standard library modules in that they\n# specify compliance tests. In general, once an ABC has been published,\n# new methods (either abstract or concrete) cannot be added.\n#\n# Though classes that inherit from an ABC would automatically receive a\n# new mixin method, registered classes would become non-compliant and\n# violate the contract promised by ``isinstance(someobj, SomeABC)``.\n#\n# Though irritating, the correct procedure for adding new abstract or\n# mixin methods is to create a new ABC as a subclass of the previous\n# ABC. For example, union(), intersection(), and difference() cannot\n# be added to Set but could go into a new ABC that extends Set.\n#\n# Because they are so hard to change, new ABCs should have their APIs\n# carefully thought through prior to publication.\n#\n# Since ABCMeta only checks for the presence of methods, it is possible\n# to alter the signature of a method by adding optional arguments\n# or changing parameters names. This is still a bit dubious but at\n# least it won't cause isinstance() to return an incorrect result.\n#\n#\n#######################################################################\n\nfrom abc import ABCMeta, abstractmethod\nimport sys\n\nGenericAlias = type(list[int])\nEllipsisType = type(...)\ndef _f(): pass\nFunctionType = type(_f)\ndel _f\n\n__all__ = [\"Awaitable\", \"Coroutine\",\n \"AsyncIterable\", \"AsyncIterator\", \"AsyncGenerator\",\n \"Hashable\", \"Iterable\", \"Iterator\", \"Generator\", \"Reversible\",\n \"Sized\", \"Container\", \"Callable\", \"Collection\",\n \"Set\", \"MutableSet\",\n \"Mapping\", \"MutableMapping\",\n \"MappingView\", \"KeysView\", \"ItemsView\", \"ValuesView\",\n \"Sequence\", \"MutableSequence\",\n \"ByteString\", \"Buffer\",\n ]\n\n# This module has been renamed from collections.abc to _collections_abc to\n# speed up interpreter startup. Some of the types such as MutableMapping are\n# required early but collections module imports a lot of other modules.\n# See issue #19218\n__name__ = \"collections.abc\"\n\n# Private list of types that we want to register with the various ABCs\n# so that they will pass tests like:\n# it = iter(somebytearray)\n# assert isinstance(it, Iterable)\n# Note: in other implementations, these types might not be distinct\n# and they may have their own implementation specific types that\n# are not included on this list.\nbytes_iterator = type(iter(b''))\nbytearray_iterator = type(iter(bytearray()))\n#callable_iterator = ???\ndict_keyiterator = type(iter({}.keys()))\ndict_valueiterator = type(iter({}.values()))\ndict_itemiterator = type(iter({}.items()))\nlist_iterator = type(iter([]))\nlist_reverseiterator = type(iter(reversed([])))\nrange_iterator = type(iter(range(0)))\nlongrange_iterator = type(iter(range(1 << 1000)))\nset_iterator = type(iter(set()))\nstr_iterator = type(iter(\"\"))\ntuple_iterator = type(iter(()))\nzip_iterator = type(iter(zip()))\n## views ##\ndict_keys = type({}.keys())\ndict_values = type({}.values())\ndict_items = type({}.items())\n## misc ##\nmappingproxy = type(type.__dict__)\ngenerator = type((lambda: (yield))())\n## coroutine ##\nasync def _coro(): pass\n_coro = _coro()\ncoroutine = type(_coro)\n_coro.close() # Prevent ResourceWarning\ndel _coro\n## asynchronous generator ##\nasync def _ag(): yield\n_ag = _ag()\nasync_generator = type(_ag)\ndel _ag\n\n\n### ONE-TRICK PONIES ###\n\ndef _check_methods(C, *methods):\n mro = C.__mro__\n for method in methods:\n for B in mro:\n if method in B.__dict__:\n if B.__dict__[method] is None:\n return NotImplemented\n break\n else:\n return NotImplemented\n return True\n\nclass Hashable(metaclass=ABCMeta):\n\n __slots__ = ()\n\n @abstractmethod\n def __hash__(self):\n return 0\n\n @classmethod\n def __subclasshook__(cls, C):\n if cls is Hashable:\n return _check_methods(C, \"__hash__\")\n return NotImplemented\n\n\nclass Awaitable(metaclass=ABCMeta):\n\n __slots__ = ()\n\n @abstractmethod\n def __await__(self):\n yield\n\n @classmethod\n def __subclasshook__(cls, C):\n if cls is Awaitable:\n return _check_methods(C, \"__await__\")\n return NotImplemented\n\n __class_getitem__ = classmethod(GenericAlias)\n\n\nclass Coroutine(Awaitable):\n\n __slots__ = ()\n\n @abstractmethod\n def send(self, value):\n \"\"\"Send a value into the coroutine.\n Return next yielded value or raise StopIteration.\n \"\"\"\n raise StopIteration\n\n @abstractmethod\n def throw(self, typ, val=None, tb=None):\n \"\"\"Raise an exception in the coroutine.\n Return next yielded value or raise StopIteration.\n \"\"\"\n if val is None:\n if tb is None:\n raise typ\n val = typ()\n if tb is not None:\n val = val.with_traceback(tb)\n raise val\n\n def close(self):\n \"\"\"Raise GeneratorExit inside coroutine.\n \"\"\"\n try:\n self.throw(GeneratorExit)\n except (GeneratorExit, StopIteration):\n pass\n else:\n raise RuntimeError(\"coroutine ignored GeneratorExit\")\n\n @classmethod\n def __subclasshook__(cls, C):\n if cls is Coroutine:\n return _check_methods(C, '__await__', 'send', 'throw', 'close')\n return NotImplemented\n\n\nCoroutine.register(coroutine)\n\n\nclass AsyncIterable(metaclass=ABCMeta):\n\n __slots__ = ()\n\n @abstractmethod\n def __aiter__(self):\n return AsyncIterator()\n\n @classmethod\n def __subclasshook__(cls, C):\n if cls is AsyncIterable:\n return _check_methods(C, \"__aiter__\")\n return NotImplemented\n\n __class_getitem__ = classmethod(GenericAlias)\n\n\nclass AsyncIterator(AsyncIterable):\n\n __slots__ = ()\n\n @abstractmethod\n async def __anext__(self):\n \"\"\"Return the next item or raise StopAsyncIteration when exhausted.\"\"\"\n raise StopAsyncIteration\n\n def __aiter__(self):\n return self\n\n @classmethod\n def __subclasshook__(cls, C):\n if cls is AsyncIterator:\n return _check_methods(C, \"__anext__\", \"__aiter__\")\n return NotImplemented\n\n\nclass AsyncGenerator(AsyncIterator):\n\n __slots__ = ()\n\n async def __anext__(self):\n \"\"\"Return the next item from the asynchronous generator.\n When exhausted, raise StopAsyncIteration.\n \"\"\"\n return await self.asend(None)\n\n @abstractmethod\n async def asend(self, value):\n \"\"\"Send a value into the asynchronous generator.\n Return next yielded value or raise StopAsyncIteration.\n \"\"\"\n raise StopAsyncIteration\n\n @abstractmethod\n async def athrow(self, typ, val=None, tb=None):\n \"\"\"Raise an exception in the asynchronous generator.\n Return next yielded value or raise StopAsyncIteration.\n \"\"\"\n if val is None:\n if tb is None:\n raise typ\n val = typ()\n if tb is not None:\n val = val.with_traceback(tb)\n raise val\n\n async def aclose(self):\n \"\"\"Raise GeneratorExit inside coroutine.\n \"\"\"\n try:\n await self.athrow(GeneratorExit)\n except (GeneratorExit, StopAsyncIteration):\n pass\n else:\n raise RuntimeError(\"asynchronous generator ignored GeneratorExit\")\n\n @classmethod\n def __subclasshook__(cls, C):\n if cls is AsyncGenerator:\n return _check_methods(C, '__aiter__', '__anext__',\n 'asend', 'athrow', 'aclose')\n return NotImplemented\n\n\nAsyncGenerator.register(async_generator)\n\n\nclass Iterable(metaclass=ABCMeta):\n\n __slots__ = ()\n\n @abstractmethod\n def __iter__(self):\n while False:\n yield None\n\n @classmethod\n def __subclasshook__(cls, C):\n if cls is Iterable:\n return _check_methods(C, \"__iter__\")\n return NotImplemented\n\n __class_getitem__ = classmethod(GenericAlias)\n\n\nclass Iterator(Iterable):\n\n __slots__ = ()\n\n @abstractmethod\n def __next__(self):\n 'Return the next item from the iterator. When exhausted, raise StopIteration'\n raise StopIteration\n\n def __iter__(self):\n return self\n\n @classmethod\n def __subclasshook__(cls, C):\n if cls is Iterator:\n return _check_methods(C, '__iter__', '__next__')\n return NotImplemented\n\n\nIterator.register(bytes_iterator)\nIterator.register(bytearray_iterator)\n#Iterator.register(callable_iterator)\nIterator.register(dict_keyiterator)\nIterator.register(dict_valueiterator)\nIterator.register(dict_itemiterator)\nIterator.register(list_iterator)\nIterator.register(list_reverseiterator)\nIterator.register(range_iterator)\nIterator.register(longrange_iterator)\nIterator.register(set_iterator)\nIterator.register(str_iterator)\nIterator.register(tuple_iterator)\nIterator.register(zip_iterator)\n\n\nclass Reversible(Iterable):\n\n __slots__ = ()\n\n @abstractmethod\n def __reversed__(self):\n while False:\n yield None\n\n @classmethod\n def __subclasshook__(cls, C):\n if cls is Reversible:\n return _check_methods(C, \"__reversed__\", \"__iter__\")\n return NotImplemented\n\n\nclass Generator(Iterator):\n\n __slots__ = ()\n\n def __next__(self):\n \"\"\"Return the next item from the generator.\n When exhausted, raise StopIteration.\n \"\"\"\n return self.send(None)\n\n @abstractmethod\n def send(self, value):\n \"\"\"Send a value into the generator.\n Return next yielded value or raise StopIteration.\n \"\"\"\n raise StopIteration\n\n @abstractmethod\n def throw(self, typ, val=None, tb=None):\n \"\"\"Raise an exception in the generator.\n Return next yielded value or raise StopIteration.\n \"\"\"\n if val is None:\n if tb is None:\n raise typ\n val = typ()\n if tb is not None:\n val = val.with_traceback(tb)\n raise val\n\n def close(self):\n \"\"\"Raise GeneratorExit inside generator.\n \"\"\"\n try:\n self.throw(GeneratorExit)\n except (GeneratorExit, StopIteration):\n pass\n else:\n raise RuntimeError(\"generator ignored GeneratorExit\")\n\n @classmethod\n def __subclasshook__(cls, C):\n if cls is Generator:\n return _check_methods(C, '__iter__', '__next__',\n 'send', 'throw', 'close')\n return NotImplemented\n\n\nGenerator.register(generator)\n\n\nclass Sized(metaclass=ABCMeta):\n\n __slots__ = ()\n\n @abstractmethod\n def __len__(self):\n return 0\n\n @classmethod\n def __subclasshook__(cls, C):\n if cls is Sized:\n return _check_methods(C, \"__len__\")\n return NotImplemented\n\n\nclass Container(metaclass=ABCMeta):\n\n __slots__ = ()\n\n @abstractmethod\n def __contains__(self, x):\n return False\n\n @classmethod\n def __subclasshook__(cls, C):\n if cls is Container:\n return _check_methods(C, \"__contains__\")\n return NotImplemented\n\n __class_getitem__ = classmethod(GenericAlias)\n\n\nclass Collection(Sized, Iterable, Container):\n\n __slots__ = ()\n\n @classmethod\n def __subclasshook__(cls, C):\n if cls is Collection:\n return _check_methods(C, \"__len__\", \"__iter__\", \"__contains__\")\n return NotImplemented\n\n\nclass Buffer(metaclass=ABCMeta):\n\n __slots__ = ()\n\n @abstractmethod\n def __buffer__(self, flags: int, /) -> memoryview:\n raise NotImplementedError\n\n @classmethod\n def __subclasshook__(cls, C):\n if cls is Buffer:\n return _check_methods(C, \"__buffer__\")\n return NotImplemented\n\n\nclass _CallableGenericAlias(GenericAlias):\n \"\"\" Represent `Callable[argtypes, resulttype]`.\n\n This sets ``__args__`` to a tuple containing the flattened ``argtypes``\n followed by ``resulttype``.\n\n Example: ``Callable[[int, str], float]`` sets ``__args__`` to\n ``(int, str, float)``.\n \"\"\"\n\n __slots__ = ()\n\n def __new__(cls, origin, args):\n if not (isinstance(args, tuple) and len(args) == 2):\n raise TypeError(\n \"Callable must be used as Callable[[arg, ...], result].\")\n t_args, t_result = args\n if isinstance(t_args, (tuple, list)):\n args = (*t_args, t_result)\n elif not _is_param_expr(t_args):\n raise TypeError(f\"Expected a list of types, an ellipsis, \"\n f\"ParamSpec, or Concatenate. Got {t_args}\")\n return super().__new__(cls, origin, args)\n\n def __repr__(self):\n if len(self.__args__) == 2 and _is_param_expr(self.__args__[0]):\n return super().__repr__()\n return (f'collections.abc.Callable'\n f'[[{\", \".join([_type_repr(a) for a in self.__args__[:-1]])}], '\n f'{_type_repr(self.__args__[-1])}]')\n\n def __reduce__(self):\n args = self.__args__\n if not (len(args) == 2 and _is_param_expr(args[0])):\n args = list(args[:-1]), args[-1]\n return _CallableGenericAlias, (Callable, args)\n\n def __getitem__(self, item):\n # Called during TypeVar substitution, returns the custom subclass\n # rather than the default types.GenericAlias object. Most of the\n # code is copied from typing's _GenericAlias and the builtin\n # types.GenericAlias.\n if not isinstance(item, tuple):\n item = (item,)\n\n new_args = super().__getitem__(item).__args__\n\n # args[0] occurs due to things like Z[[int, str, bool]] from PEP 612\n if not isinstance(new_args[0], (tuple, list)):\n t_result = new_args[-1]\n t_args = new_args[:-1]\n new_args = (t_args, t_result)\n return _CallableGenericAlias(Callable, tuple(new_args))\n\ndef _is_param_expr(obj):\n \"\"\"Checks if obj matches either a list of types, ``...``, ``ParamSpec`` or\n ``_ConcatenateGenericAlias`` from typing.py\n \"\"\"\n if obj is Ellipsis:\n return True\n if isinstance(obj, list):\n return True\n obj = type(obj)\n names = ('ParamSpec', '_ConcatenateGenericAlias')\n return obj.__module__ == 'typing' and any(obj.__name__ == name for name in names)\n\ndef _type_repr(obj):\n \"\"\"Return the repr() of an object, special-casing types (internal helper).\n\n Copied from :mod:`typing` since collections.abc\n shouldn't depend on that module.\n (Keep this roughly in sync with the typing version.)\n \"\"\"\n if isinstance(obj, type):\n if obj.__module__ == 'builtins':\n return obj.__qualname__\n return f'{obj.__module__}.{obj.__qualname__}'\n if obj is Ellipsis:\n return '...'\n if isinstance(obj, FunctionType):\n return obj.__name__\n return repr(obj)\n\n\nclass Callable(metaclass=ABCMeta):\n\n __slots__ = ()\n\n @abstractmethod\n def __call__(self, *args, **kwds):\n return False\n\n @classmethod\n def __subclasshook__(cls, C):\n if cls is Callable:\n return _check_methods(C, \"__call__\")\n return NotImplemented\n\n __class_getitem__ = classmethod(_CallableGenericAlias)\n\n\n### SETS ###\n\n\nclass Set(Collection):\n \"\"\"A set is a finite, iterable container.\n\n This class provides concrete generic implementations of all\n methods except for __contains__, __iter__ and __len__.\n\n To override the comparisons (presumably for speed, as the\n semantics are fixed), redefine __le__ and __ge__,\n then the other operations will automatically follow suit.\n \"\"\"\n\n __slots__ = ()\n\n def __le__(self, other):\n if not isinstance(other, Set):\n return NotImplemented\n if len(self) > len(other):\n return False\n for elem in self:\n if elem not in other:\n return False\n return True\n\n def __lt__(self, other):\n if not isinstance(other, Set):\n return NotImplemented\n return len(self) < len(other) and self.__le__(other)\n\n def __gt__(self, other):\n if not isinstance(other, Set):\n return NotImplemented\n return len(self) > len(other) and self.__ge__(other)\n\n def __ge__(self, other):\n if not isinstance(other, Set):\n return NotImplemented\n if len(self) < len(other):\n return False\n for elem in other:\n if elem not in self:\n return False\n return True\n\n def __eq__(self, other):\n if not isinstance(other, Set):\n return NotImplemented\n return len(self) == len(other) and self.__le__(other)\n\n @classmethod\n def _from_iterable(cls, it):\n '''Construct an instance of the class from any iterable input.\n\n Must override this method if the class constructor signature\n does not accept an iterable for an input.\n '''\n return cls(it)\n\n def __and__(self, other):\n if not isinstance(other, Iterable):\n return NotImplemented\n return self._from_iterable(value for value in other if value in self)\n\n __rand__ = __and__\n\n def isdisjoint(self, other):\n 'Return True if two sets have a null intersection.'\n for value in other:\n if value in self:\n return False\n return True\n\n def __or__(self, other):\n if not isinstance(other, Iterable):\n return NotImplemented\n chain = (e for s in (self, other) for e in s)\n return self._from_iterable(chain)\n\n __ror__ = __or__\n\n def __sub__(self, other):\n if not isinstance(other, Set):\n if not isinstance(other, Iterable):\n return NotImplemented\n other = self._from_iterable(other)\n return self._from_iterable(value for value in self\n if value not in other)\n\n def __rsub__(self, other):\n if not isinstance(other, Set):\n if not isinstance(other, Iterable):\n return NotImplemented\n other = self._from_iterable(other)\n return self._from_iterable(value for value in other\n if value not in self)\n\n def __xor__(self, other):\n if not isinstance(other, Set):\n if not isinstance(other, Iterable):\n return NotImplemented\n other = self._from_iterable(other)\n return (self - other) | (other - self)\n\n __rxor__ = __xor__\n\n def _hash(self):\n \"\"\"Compute the hash value of a set.\n\n Note that we don't define __hash__: not all sets are hashable.\n But if you define a hashable set type, its __hash__ should\n call this function.\n\n This must be compatible __eq__.\n\n All sets ought to compare equal if they contain the same\n elements, regardless of how they are implemented, and\n regardless of the order of the elements; so there's not much\n freedom for __eq__ or __hash__. We match the algorithm used\n by the built-in frozenset type.\n \"\"\"\n MAX = sys.maxsize\n MASK = 2 * MAX + 1\n n = len(self)\n h = 1927868237 * (n + 1)\n h &= MASK\n for x in self:\n hx = hash(x)\n h ^= (hx ^ (hx << 16) ^ 89869747) * 3644798167\n h &= MASK\n h ^= (h >> 11) ^ (h >> 25)\n h = h * 69069 + 907133923\n h &= MASK\n if h > MAX:\n h -= MASK + 1\n if h == -1:\n h = 590923713\n return h\n\n\nSet.register(frozenset)\n\n\nclass MutableSet(Set):\n \"\"\"A mutable set is a finite, iterable container.\n\n This class provides concrete generic implementations of all\n methods except for __contains__, __iter__, __len__,\n add(), and discard().\n\n To override the comparisons (presumably for speed, as the\n semantics are fixed), all you have to do is redefine __le__ and\n then the other operations will automatically follow suit.\n \"\"\"\n\n __slots__ = ()\n\n @abstractmethod\n def add(self, value):\n \"\"\"Add an element.\"\"\"\n raise NotImplementedError\n\n @abstractmethod\n def discard(self, value):\n \"\"\"Remove an element. Do not raise an exception if absent.\"\"\"\n raise NotImplementedError\n\n def remove(self, value):\n \"\"\"Remove an element. If not a member, raise a KeyError.\"\"\"\n if value not in self:\n raise KeyError(value)\n self.discard(value)\n\n def pop(self):\n \"\"\"Return the popped value. Raise KeyError if empty.\"\"\"\n it = iter(self)\n try:\n value = next(it)\n except StopIteration:\n raise KeyError from None\n self.discard(value)\n return value\n\n def clear(self):\n \"\"\"This is slow (creates N new iterators!) but effective.\"\"\"\n try:\n while True:\n self.pop()\n except KeyError:\n pass\n\n def __ior__(self, it):\n for value in it:\n self.add(value)\n return self\n\n def __iand__(self, it):\n for value in (self - it):\n self.discard(value)\n return self\n\n def __ixor__(self, it):\n if it is self:\n self.clear()\n else:\n if not isinstance(it, Set):\n it = self._from_iterable(it)\n for value in it:\n if value in self:\n self.discard(value)\n else:\n self.add(value)\n return self\n\n def __isub__(self, it):\n if it is self:\n self.clear()\n else:\n for value in it:\n self.discard(value)\n return self\n\n\nMutableSet.register(set)\n\n\n### MAPPINGS ###\n\nclass Mapping(Collection):\n \"\"\"A Mapping is a generic container for associating key/value\n pairs.\n\n This class provides concrete generic implementations of all\n methods except for __getitem__, __iter__, and __len__.\n \"\"\"\n\n __slots__ = ()\n\n # Tell ABCMeta.__new__ that this class should have TPFLAGS_MAPPING set.\n __abc_tpflags__ = 1 << 6 # Py_TPFLAGS_MAPPING\n\n @abstractmethod\n def __getitem__(self, key):\n raise KeyError\n\n def get(self, key, default=None):\n 'D.get(k[,d]) -> D[k] if k in D, else d. d defaults to None.'\n try:\n return self[key]\n except KeyError:\n return default\n\n def __contains__(self, key):\n try:\n self[key]\n except KeyError:\n return False\n else:\n return True\n\n def keys(self):\n \"D.keys() -> a set-like object providing a view on D's keys\"\n return KeysView(self)\n\n def items(self):\n \"D.items() -> a set-like object providing a view on D's items\"\n return ItemsView(self)\n\n def values(self):\n \"D.values() -> an object providing a view on D's values\"\n return ValuesView(self)\n\n def __eq__(self, other):\n if not isinstance(other, Mapping):\n return NotImplemented\n return dict(self.items()) == dict(other.items())\n\n __reversed__ = None\n\nMapping.register(mappingproxy)\n\n\nclass MappingView(Sized):\n\n __slots__ = '_mapping',\n\n def __init__(self, mapping):\n self._mapping = mapping\n\n def __len__(self):\n return len(self._mapping)\n\n def __repr__(self):\n return '{0.__class__.__name__}({0._mapping!r})'.format(self)\n\n __class_getitem__ = classmethod(GenericAlias)\n\n\nclass KeysView(MappingView, Set):\n\n __slots__ = ()\n\n @classmethod\n def _from_iterable(cls, it):\n return set(it)\n\n def __contains__(self, key):\n return key in self._mapping\n\n def __iter__(self):\n yield from self._mapping\n\n\nKeysView.register(dict_keys)\n\n\nclass ItemsView(MappingView, Set):\n\n __slots__ = ()\n\n @classmethod\n def _from_iterable(cls, it):\n return set(it)\n\n def __contains__(self, item):\n key, value = item\n try:\n v = self._mapping[key]\n except KeyError:\n return False\n else:\n return v is value or v == value\n\n def __iter__(self):\n for key in self._mapping:\n yield (key, self._mapping[key])\n\n\nItemsView.register(dict_items)\n\n\nclass ValuesView(MappingView, Collection):\n\n __slots__ = ()\n\n def __contains__(self, value):\n for key in self._mapping:\n v = self._mapping[key]\n if v is value or v == value:\n return True\n return False\n\n def __iter__(self):\n for key in self._mapping:\n yield self._mapping[key]\n\n\nValuesView.register(dict_values)\n\n\nclass MutableMapping(Mapping):\n \"\"\"A MutableMapping is a generic container for associating\n key/value pairs.\n\n This class provides concrete generic implementations of all\n methods except for __getitem__, __setitem__, __delitem__,\n __iter__, and __len__.\n \"\"\"\n\n __slots__ = ()\n\n @abstractmethod\n def __setitem__(self, key, value):\n raise KeyError\n\n @abstractmethod\n def __delitem__(self, key):\n raise KeyError\n\n __marker = object()\n\n def pop(self, key, default=__marker):\n '''D.pop(k[,d]) -> v, remove specified key and return the corresponding value.\n If key is not found, d is returned if given, otherwise KeyError is raised.\n '''\n try:\n value = self[key]\n except KeyError:\n if default is self.__marker:\n raise\n return default\n else:\n del self[key]\n return value\n\n def popitem(self):\n '''D.popitem() -> (k, v), remove and return some (key, value) pair\n as a 2-tuple; but raise KeyError if D is empty.\n '''\n try:\n key = next(iter(self))\n except StopIteration:\n raise KeyError from None\n value = self[key]\n del self[key]\n return key, value\n\n def clear(self):\n 'D.clear() -> None. Remove all items from D.'\n try:\n while True:\n self.popitem()\n except KeyError:\n pass\n\n def update(self, other=(), /, **kwds):\n ''' D.update([E, ]**F) -> None. Update D from mapping/iterable E and F.\n If E present and has a .keys() method, does: for k in E: D[k] = E[k]\n If E present and lacks .keys() method, does: for (k, v) in E: D[k] = v\n In either case, this is followed by: for k, v in F.items(): D[k] = v\n '''\n if isinstance(other, Mapping):\n for key in other:\n self[key] = other[key]\n elif hasattr(other, \"keys\"):\n for key in other.keys():\n self[key] = other[key]\n else:\n for key, value in other:\n self[key] = value\n for key, value in kwds.items():\n self[key] = value\n\n def setdefault(self, key, default=None):\n 'D.setdefault(k[,d]) -> D.get(k,d), also set D[k]=d if k not in D'\n try:\n return self[key]\n except KeyError:\n self[key] = default\n return default\n\n\nMutableMapping.register(dict)\n\n\n### SEQUENCES ###\n\nclass Sequence(Reversible, Collection):\n \"\"\"All the operations on a read-only sequence.\n\n Concrete subclasses must override __new__ or __init__,\n __getitem__, and __len__.\n \"\"\"\n\n __slots__ = ()\n\n # Tell ABCMeta.__new__ that this class should have TPFLAGS_SEQUENCE set.\n __abc_tpflags__ = 1 << 5 # Py_TPFLAGS_SEQUENCE\n\n @abstractmethod\n def __getitem__(self, index):\n raise IndexError\n\n def __iter__(self):\n i = 0\n try:\n while True:\n v = self[i]\n yield v\n i += 1\n except IndexError:\n return\n\n def __contains__(self, value):\n for v in self:\n if v is value or v == value:\n return True\n return False\n\n def __reversed__(self):\n for i in reversed(range(len(self))):\n yield self[i]\n\n def index(self, value, start=0, stop=None):\n '''S.index(value, [start, [stop]]) -> integer -- return first index of value.\n Raises ValueError if the value is not present.\n\n Supporting start and stop arguments is optional, but\n recommended.\n '''\n if start is not None and start < 0:\n start = max(len(self) + start, 0)\n if stop is not None and stop < 0:\n stop += len(self)\n\n i = start\n while stop is None or i < stop:\n try:\n v = self[i]\n except IndexError:\n break\n if v is value or v == value:\n return i\n i += 1\n raise ValueError\n\n def count(self, value):\n 'S.count(value) -> integer -- return number of occurrences of value'\n return sum(1 for v in self if v is value or v == value)\n\nSequence.register(tuple)\nSequence.register(str)\nSequence.register(range)\nSequence.register(memoryview)\n\nclass _DeprecateByteStringMeta(ABCMeta):\n def __new__(cls, name, bases, namespace, **kwargs):\n if name != \"ByteString\":\n import warnings\n\n warnings._deprecated(\n \"collections.abc.ByteString\",\n remove=(3, 14),\n )\n return super().__new__(cls, name, bases, namespace, **kwargs)\n\n def __instancecheck__(cls, instance):\n import warnings\n\n warnings._deprecated(\n \"collections.abc.ByteString\",\n remove=(3, 14),\n )\n return super().__instancecheck__(instance)\n\nclass ByteString(Sequence, metaclass=_DeprecateByteStringMeta):\n \"\"\"This unifies bytes and bytearray.\n\n XXX Should add all their methods.\n \"\"\"\n\n __slots__ = ()\n\nByteString.register(bytes)\nByteString.register(bytearray)\n\n\nclass MutableSequence(Sequence):\n \"\"\"All the operations on a read-write sequence.\n\n Concrete subclasses must provide __new__ or __init__,\n __getitem__, __setitem__, __delitem__, __len__, and insert().\n \"\"\"\n\n __slots__ = ()\n\n @abstractmethod\n def __setitem__(self, index, value):\n raise IndexError\n\n @abstractmethod\n def __delitem__(self, index):\n raise IndexError\n\n @abstractmethod\n def insert(self, index, value):\n 'S.insert(index, value) -- insert value before index'\n raise IndexError\n\n def append(self, value):\n 'S.append(value) -- append value to the end of the sequence'\n self.insert(len(self), value)\n\n def clear(self):\n 'S.clear() -> None -- remove all items from S'\n try:\n while True:\n self.pop()\n except IndexError:\n pass\n\n def reverse(self):\n 'S.reverse() -- reverse *IN PLACE*'\n n = len(self)\n for i in range(n//2):\n self[i], self[n-i-1] = self[n-i-1], self[i]\n\n def extend(self, values):\n 'S.extend(iterable) -- extend sequence by appending elements from the iterable'\n if values is self:\n values = list(values)\n for v in values:\n self.append(v)\n\n def pop(self, index=-1):\n '''S.pop([index]) -> item -- remove and return item at index (default last).\n Raise IndexError if list is empty or index is out of range.\n '''\n v = self[index]\n del self[index]\n return v\n\n def remove(self, value):\n '''S.remove(value) -- remove first occurrence of value.\n Raise ValueError if the value is not present.\n '''\n del self[self.index(value)]\n\n def __iadd__(self, values):\n self.extend(values)\n return self\n\n\nMutableSequence.register(list)\nMutableSequence.register(bytearray) # Multiply inheriting, see ByteString\n", 1173], "/usr/lib/python3.12/asyncio/coroutines.py": ["__all__ = 'iscoroutinefunction', 'iscoroutine'\n\nimport collections.abc\nimport inspect\nimport os\nimport sys\nimport types\n\n\ndef _is_debug_mode():\n # See: https://docs.python.org/3/library/asyncio-dev.html#asyncio-debug-mode.\n return sys.flags.dev_mode or (not sys.flags.ignore_environment and\n bool(os.environ.get('PYTHONASYNCIODEBUG')))\n\n\n# A marker for iscoroutinefunction.\n_is_coroutine = object()\n\n\ndef iscoroutinefunction(func):\n \"\"\"Return True if func is a decorated coroutine function.\"\"\"\n return (inspect.iscoroutinefunction(func) or\n getattr(func, '_is_coroutine', None) is _is_coroutine)\n\n\n# Prioritize native coroutine check to speed-up\n# asyncio.iscoroutine.\n_COROUTINE_TYPES = (types.CoroutineType, collections.abc.Coroutine)\n_iscoroutine_typecache = set()\n\n\ndef iscoroutine(obj):\n \"\"\"Return True if obj is a coroutine object.\"\"\"\n if type(obj) in _iscoroutine_typecache:\n return True\n\n if isinstance(obj, _COROUTINE_TYPES):\n # Just in case we don't want to cache more than 100\n # positive types. That shouldn't ever happen, unless\n # someone stressing the system on purpose.\n if len(_iscoroutine_typecache) < 100:\n _iscoroutine_typecache.add(type(obj))\n return True\n else:\n return False\n\n\ndef _format_coroutine(coro):\n assert iscoroutine(coro)\n\n def get_name(coro):\n # Coroutines compiled with Cython sometimes don't have\n # proper __qualname__ or __name__. While that is a bug\n # in Cython, asyncio shouldn't crash with an AttributeError\n # in its __repr__ functions.\n if hasattr(coro, '__qualname__') and coro.__qualname__:\n coro_name = coro.__qualname__\n elif hasattr(coro, '__name__') and coro.__name__:\n coro_name = coro.__name__\n else:\n # Stop masking Cython bugs, expose them in a friendly way.\n coro_name = f'<{type(coro).__name__} without __name__>'\n return f'{coro_name}()'\n\n def is_running(coro):\n try:\n return coro.cr_running\n except AttributeError:\n try:\n return coro.gi_running\n except AttributeError:\n return False\n\n coro_code = None\n if hasattr(coro, 'cr_code') and coro.cr_code:\n coro_code = coro.cr_code\n elif hasattr(coro, 'gi_code') and coro.gi_code:\n coro_code = coro.gi_code\n\n coro_name = get_name(coro)\n\n if not coro_code:\n # Built-in types might not have __qualname__ or __name__.\n if is_running(coro):\n return f'{coro_name} running'\n else:\n return coro_name\n\n coro_frame = None\n if hasattr(coro, 'gi_frame') and coro.gi_frame:\n coro_frame = coro.gi_frame\n elif hasattr(coro, 'cr_frame') and coro.cr_frame:\n coro_frame = coro.cr_frame\n\n # If Cython's coroutine has a fake code object without proper\n # co_filename -- expose that.\n filename = coro_code.co_filename or ''\n\n lineno = 0\n\n if coro_frame is not None:\n lineno = coro_frame.f_lineno\n coro_repr = f'{coro_name} running at {filename}:{lineno}'\n\n else:\n lineno = coro_code.co_firstlineno\n coro_repr = f'{coro_name} done, defined at {filename}:{lineno}'\n\n return coro_repr\n", 109], "/usr/lib/python3.12/asyncio/base_events.py": ["\"\"\"Base implementation of event loop.\n\nThe event loop can be broken up into a multiplexer (the part\nresponsible for notifying us of I/O events) and the event loop proper,\nwhich wraps a multiplexer with functionality for scheduling callbacks,\nimmediately or at a given time in the future.\n\nWhenever a public API takes a callback, subsequent positional\narguments will be passed to the callback if/when it is called. This\navoids the proliferation of trivial lambdas implementing closures.\nKeyword arguments for the callback are not supported; this is a\nconscious design decision, leaving the door open for keyword arguments\nto modify the meaning of the API call itself.\n\"\"\"\n\nimport collections\nimport collections.abc\nimport concurrent.futures\nimport errno\nimport functools\nimport heapq\nimport itertools\nimport os\nimport socket\nimport stat\nimport subprocess\nimport threading\nimport time\nimport traceback\nimport sys\nimport warnings\nimport weakref\n\ntry:\n import ssl\nexcept ImportError: # pragma: no cover\n ssl = None\n\nfrom . import constants\nfrom . import coroutines\nfrom . import events\nfrom . import exceptions\nfrom . import futures\nfrom . import protocols\nfrom . import sslproto\nfrom . import staggered\nfrom . import tasks\nfrom . import timeouts\nfrom . import transports\nfrom . import trsock\nfrom .log import logger\n\n\n__all__ = 'BaseEventLoop','Server',\n\n\n# Minimum number of _scheduled timer handles before cleanup of\n# cancelled handles is performed.\n_MIN_SCHEDULED_TIMER_HANDLES = 100\n\n# Minimum fraction of _scheduled timer handles that are cancelled\n# before cleanup of cancelled handles is performed.\n_MIN_CANCELLED_TIMER_HANDLES_FRACTION = 0.5\n\n\n_HAS_IPv6 = hasattr(socket, 'AF_INET6')\n\n# Maximum timeout passed to select to avoid OS limitations\nMAXIMUM_SELECT_TIMEOUT = 24 * 3600\n\n\ndef _format_handle(handle):\n cb = handle._callback\n if isinstance(getattr(cb, '__self__', None), tasks.Task):\n # format the task\n return repr(cb.__self__)\n else:\n return str(handle)\n\n\ndef _format_pipe(fd):\n if fd == subprocess.PIPE:\n return ''\n elif fd == subprocess.STDOUT:\n return ''\n else:\n return repr(fd)\n\n\ndef _set_reuseport(sock):\n if not hasattr(socket, 'SO_REUSEPORT'):\n raise ValueError('reuse_port not supported by socket module')\n else:\n try:\n sock.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEPORT, 1)\n except OSError:\n raise ValueError('reuse_port not supported by socket module, '\n 'SO_REUSEPORT defined but not implemented.')\n\n\ndef _ipaddr_info(host, port, family, type, proto, flowinfo=0, scopeid=0):\n # Try to skip getaddrinfo if \"host\" is already an IP. Users might have\n # handled name resolution in their own code and pass in resolved IPs.\n if not hasattr(socket, 'inet_pton'):\n return\n\n if proto not in {0, socket.IPPROTO_TCP, socket.IPPROTO_UDP} or \\\n host is None:\n return None\n\n if type == socket.SOCK_STREAM:\n proto = socket.IPPROTO_TCP\n elif type == socket.SOCK_DGRAM:\n proto = socket.IPPROTO_UDP\n else:\n return None\n\n if port is None:\n port = 0\n elif isinstance(port, bytes) and port == b'':\n port = 0\n elif isinstance(port, str) and port == '':\n port = 0\n else:\n # If port's a service name like \"http\", don't skip getaddrinfo.\n try:\n port = int(port)\n except (TypeError, ValueError):\n return None\n\n if family == socket.AF_UNSPEC:\n afs = [socket.AF_INET]\n if _HAS_IPv6:\n afs.append(socket.AF_INET6)\n else:\n afs = [family]\n\n if isinstance(host, bytes):\n host = host.decode('idna')\n if '%' in host:\n # Linux's inet_pton doesn't accept an IPv6 zone index after host,\n # like '::1%lo0'.\n return None\n\n for af in afs:\n try:\n socket.inet_pton(af, host)\n # The host has already been resolved.\n if _HAS_IPv6 and af == socket.AF_INET6:\n return af, type, proto, '', (host, port, flowinfo, scopeid)\n else:\n return af, type, proto, '', (host, port)\n except OSError:\n pass\n\n # \"host\" is not an IP address.\n return None\n\n\ndef _interleave_addrinfos(addrinfos, first_address_family_count=1):\n \"\"\"Interleave list of addrinfo tuples by family.\"\"\"\n # Group addresses by family\n addrinfos_by_family = collections.OrderedDict()\n for addr in addrinfos:\n family = addr[0]\n if family not in addrinfos_by_family:\n addrinfos_by_family[family] = []\n addrinfos_by_family[family].append(addr)\n addrinfos_lists = list(addrinfos_by_family.values())\n\n reordered = []\n if first_address_family_count > 1:\n reordered.extend(addrinfos_lists[0][:first_address_family_count - 1])\n del addrinfos_lists[0][:first_address_family_count - 1]\n reordered.extend(\n a for a in itertools.chain.from_iterable(\n itertools.zip_longest(*addrinfos_lists)\n ) if a is not None)\n return reordered\n\n\ndef _run_until_complete_cb(fut):\n if not fut.cancelled():\n exc = fut.exception()\n if isinstance(exc, (SystemExit, KeyboardInterrupt)):\n # Issue #22429: run_forever() already finished, no need to\n # stop it.\n return\n futures._get_loop(fut).stop()\n\n\nif hasattr(socket, 'TCP_NODELAY'):\n def _set_nodelay(sock):\n if (sock.family in {socket.AF_INET, socket.AF_INET6} and\n sock.type == socket.SOCK_STREAM and\n sock.proto == socket.IPPROTO_TCP):\n sock.setsockopt(socket.IPPROTO_TCP, socket.TCP_NODELAY, 1)\nelse:\n def _set_nodelay(sock):\n pass\n\n\ndef _check_ssl_socket(sock):\n if ssl is not None and isinstance(sock, ssl.SSLSocket):\n raise TypeError(\"Socket cannot be of type SSLSocket\")\n\n\nclass _SendfileFallbackProtocol(protocols.Protocol):\n def __init__(self, transp):\n if not isinstance(transp, transports._FlowControlMixin):\n raise TypeError(\"transport should be _FlowControlMixin instance\")\n self._transport = transp\n self._proto = transp.get_protocol()\n self._should_resume_reading = transp.is_reading()\n self._should_resume_writing = transp._protocol_paused\n transp.pause_reading()\n transp.set_protocol(self)\n if self._should_resume_writing:\n self._write_ready_fut = self._transport._loop.create_future()\n else:\n self._write_ready_fut = None\n\n async def drain(self):\n if self._transport.is_closing():\n raise ConnectionError(\"Connection closed by peer\")\n fut = self._write_ready_fut\n if fut is None:\n return\n await fut\n\n def connection_made(self, transport):\n raise RuntimeError(\"Invalid state: \"\n \"connection should have been established already.\")\n\n def connection_lost(self, exc):\n if self._write_ready_fut is not None:\n # Never happens if peer disconnects after sending the whole content\n # Thus disconnection is always an exception from user perspective\n if exc is None:\n self._write_ready_fut.set_exception(\n ConnectionError(\"Connection is closed by peer\"))\n else:\n self._write_ready_fut.set_exception(exc)\n self._proto.connection_lost(exc)\n\n def pause_writing(self):\n if self._write_ready_fut is not None:\n return\n self._write_ready_fut = self._transport._loop.create_future()\n\n def resume_writing(self):\n if self._write_ready_fut is None:\n return\n self._write_ready_fut.set_result(False)\n self._write_ready_fut = None\n\n def data_received(self, data):\n raise RuntimeError(\"Invalid state: reading should be paused\")\n\n def eof_received(self):\n raise RuntimeError(\"Invalid state: reading should be paused\")\n\n async def restore(self):\n self._transport.set_protocol(self._proto)\n if self._should_resume_reading:\n self._transport.resume_reading()\n if self._write_ready_fut is not None:\n # Cancel the future.\n # Basically it has no effect because protocol is switched back,\n # no code should wait for it anymore.\n self._write_ready_fut.cancel()\n if self._should_resume_writing:\n self._proto.resume_writing()\n\n\nclass Server(events.AbstractServer):\n\n def __init__(self, loop, sockets, protocol_factory, ssl_context, backlog,\n ssl_handshake_timeout, ssl_shutdown_timeout=None):\n self._loop = loop\n self._sockets = sockets\n self._active_count = 0\n self._waiters = []\n self._protocol_factory = protocol_factory\n self._backlog = backlog\n self._ssl_context = ssl_context\n self._ssl_handshake_timeout = ssl_handshake_timeout\n self._ssl_shutdown_timeout = ssl_shutdown_timeout\n self._serving = False\n self._serving_forever_fut = None\n\n def __repr__(self):\n return f'<{self.__class__.__name__} sockets={self.sockets!r}>'\n\n def _attach(self):\n assert self._sockets is not None\n self._active_count += 1\n\n def _detach(self):\n assert self._active_count > 0\n self._active_count -= 1\n if self._active_count == 0 and self._sockets is None:\n self._wakeup()\n\n def _wakeup(self):\n waiters = self._waiters\n self._waiters = None\n for waiter in waiters:\n if not waiter.done():\n waiter.set_result(None)\n\n def _start_serving(self):\n if self._serving:\n return\n self._serving = True\n for sock in self._sockets:\n sock.listen(self._backlog)\n self._loop._start_serving(\n self._protocol_factory, sock, self._ssl_context,\n self, self._backlog, self._ssl_handshake_timeout,\n self._ssl_shutdown_timeout)\n\n def get_loop(self):\n return self._loop\n\n def is_serving(self):\n return self._serving\n\n @property\n def sockets(self):\n if self._sockets is None:\n return ()\n return tuple(trsock.TransportSocket(s) for s in self._sockets)\n\n def close(self):\n sockets = self._sockets\n if sockets is None:\n return\n self._sockets = None\n\n for sock in sockets:\n self._loop._stop_serving(sock)\n\n self._serving = False\n\n if (self._serving_forever_fut is not None and\n not self._serving_forever_fut.done()):\n self._serving_forever_fut.cancel()\n self._serving_forever_fut = None\n\n if self._active_count == 0:\n self._wakeup()\n\n async def start_serving(self):\n self._start_serving()\n # Skip one loop iteration so that all 'loop.add_reader'\n # go through.\n await tasks.sleep(0)\n\n async def serve_forever(self):\n if self._serving_forever_fut is not None:\n raise RuntimeError(\n f'server {self!r} is already being awaited on serve_forever()')\n if self._sockets is None:\n raise RuntimeError(f'server {self!r} is closed')\n\n self._start_serving()\n self._serving_forever_fut = self._loop.create_future()\n\n try:\n await self._serving_forever_fut\n except exceptions.CancelledError:\n try:\n self.close()\n await self.wait_closed()\n finally:\n raise\n finally:\n self._serving_forever_fut = None\n\n async def wait_closed(self):\n \"\"\"Wait until server is closed and all connections are dropped.\n\n - If the server is not closed, wait.\n - If it is closed, but there are still active connections, wait.\n\n Anyone waiting here will be unblocked once both conditions\n (server is closed and all connections have been dropped)\n have become true, in either order.\n\n Historical note: In 3.11 and before, this was broken, returning\n immediately if the server was already closed, even if there\n were still active connections. An attempted fix in 3.12.0 was\n still broken, returning immediately if the server was still\n open and there were no active connections. Hopefully in 3.12.1\n we have it right.\n \"\"\"\n # Waiters are unblocked by self._wakeup(), which is called\n # from two places: self.close() and self._detach(), but only\n # when both conditions have become true. To signal that this\n # has happened, self._wakeup() sets self._waiters to None.\n if self._waiters is None:\n return\n waiter = self._loop.create_future()\n self._waiters.append(waiter)\n await waiter\n\n\nclass BaseEventLoop(events.AbstractEventLoop):\n\n def __init__(self):\n self._timer_cancelled_count = 0\n self._closed = False\n self._stopping = False\n self._ready = collections.deque()\n self._scheduled = []\n self._default_executor = None\n self._internal_fds = 0\n # Identifier of the thread running the event loop, or None if the\n # event loop is not running\n self._thread_id = None\n self._clock_resolution = time.get_clock_info('monotonic').resolution\n self._exception_handler = None\n self.set_debug(coroutines._is_debug_mode())\n # In debug mode, if the execution of a callback or a step of a task\n # exceed this duration in seconds, the slow callback/task is logged.\n self.slow_callback_duration = 0.1\n self._current_handle = None\n self._task_factory = None\n self._coroutine_origin_tracking_enabled = False\n self._coroutine_origin_tracking_saved_depth = None\n\n # A weak set of all asynchronous generators that are\n # being iterated by the loop.\n self._asyncgens = weakref.WeakSet()\n # Set to True when `loop.shutdown_asyncgens` is called.\n self._asyncgens_shutdown_called = False\n # Set to True when `loop.shutdown_default_executor` is called.\n self._executor_shutdown_called = False\n\n def __repr__(self):\n return (\n f'<{self.__class__.__name__} running={self.is_running()} '\n f'closed={self.is_closed()} debug={self.get_debug()}>'\n )\n\n def create_future(self):\n \"\"\"Create a Future object attached to the loop.\"\"\"\n return futures.Future(loop=self)\n\n def create_task(self, coro, *, name=None, context=None):\n \"\"\"Schedule a coroutine object.\n\n Return a task object.\n \"\"\"\n self._check_closed()\n if self._task_factory is None:\n task = tasks.Task(coro, loop=self, name=name, context=context)\n if task._source_traceback:\n del task._source_traceback[-1]\n else:\n if context is None:\n # Use legacy API if context is not needed\n task = self._task_factory(self, coro)\n else:\n task = self._task_factory(self, coro, context=context)\n\n tasks._set_task_name(task, name)\n\n return task\n\n def set_task_factory(self, factory):\n \"\"\"Set a task factory that will be used by loop.create_task().\n\n If factory is None the default task factory will be set.\n\n If factory is a callable, it should have a signature matching\n '(loop, coro)', where 'loop' will be a reference to the active\n event loop, 'coro' will be a coroutine object. The callable\n must return a Future.\n \"\"\"\n if factory is not None and not callable(factory):\n raise TypeError('task factory must be a callable or None')\n self._task_factory = factory\n\n def get_task_factory(self):\n \"\"\"Return a task factory, or None if the default one is in use.\"\"\"\n return self._task_factory\n\n def _make_socket_transport(self, sock, protocol, waiter=None, *,\n extra=None, server=None):\n \"\"\"Create socket transport.\"\"\"\n raise NotImplementedError\n\n def _make_ssl_transport(\n self, rawsock, protocol, sslcontext, waiter=None,\n *, server_side=False, server_hostname=None,\n extra=None, server=None,\n ssl_handshake_timeout=None,\n ssl_shutdown_timeout=None,\n call_connection_made=True):\n \"\"\"Create SSL transport.\"\"\"\n raise NotImplementedError\n\n def _make_datagram_transport(self, sock, protocol,\n address=None, waiter=None, extra=None):\n \"\"\"Create datagram transport.\"\"\"\n raise NotImplementedError\n\n def _make_read_pipe_transport(self, pipe, protocol, waiter=None,\n extra=None):\n \"\"\"Create read pipe transport.\"\"\"\n raise NotImplementedError\n\n def _make_write_pipe_transport(self, pipe, protocol, waiter=None,\n extra=None):\n \"\"\"Create write pipe transport.\"\"\"\n raise NotImplementedError\n\n async def _make_subprocess_transport(self, protocol, args, shell,\n stdin, stdout, stderr, bufsize,\n extra=None, **kwargs):\n \"\"\"Create subprocess transport.\"\"\"\n raise NotImplementedError\n\n def _write_to_self(self):\n \"\"\"Write a byte to self-pipe, to wake up the event loop.\n\n This may be called from a different thread.\n\n The subclass is responsible for implementing the self-pipe.\n \"\"\"\n raise NotImplementedError\n\n def _process_events(self, event_list):\n \"\"\"Process selector events.\"\"\"\n raise NotImplementedError\n\n def _check_closed(self):\n if self._closed:\n raise RuntimeError('Event loop is closed')\n\n def _check_default_executor(self):\n if self._executor_shutdown_called:\n raise RuntimeError('Executor shutdown has been called')\n\n def _asyncgen_finalizer_hook(self, agen):\n self._asyncgens.discard(agen)\n if not self.is_closed():\n self.call_soon_threadsafe(self.create_task, agen.aclose())\n\n def _asyncgen_firstiter_hook(self, agen):\n if self._asyncgens_shutdown_called:\n warnings.warn(\n f\"asynchronous generator {agen!r} was scheduled after \"\n f\"loop.shutdown_asyncgens() call\",\n ResourceWarning, source=self)\n\n self._asyncgens.add(agen)\n\n async def shutdown_asyncgens(self):\n \"\"\"Shutdown all active asynchronous generators.\"\"\"\n self._asyncgens_shutdown_called = True\n\n if not len(self._asyncgens):\n # If Python version is <3.6 or we don't have any asynchronous\n # generators alive.\n return\n\n closing_agens = list(self._asyncgens)\n self._asyncgens.clear()\n\n results = await tasks.gather(\n *[ag.aclose() for ag in closing_agens],\n return_exceptions=True)\n\n for result, agen in zip(results, closing_agens):\n if isinstance(result, Exception):\n self.call_exception_handler({\n 'message': f'an error occurred during closing of '\n f'asynchronous generator {agen!r}',\n 'exception': result,\n 'asyncgen': agen\n })\n\n async def shutdown_default_executor(self, timeout=None):\n \"\"\"Schedule the shutdown of the default executor.\n\n The timeout parameter specifies the amount of time the executor will\n be given to finish joining. The default value is None, which means\n that the executor will be given an unlimited amount of time.\n \"\"\"\n self._executor_shutdown_called = True\n if self._default_executor is None:\n return\n future = self.create_future()\n thread = threading.Thread(target=self._do_shutdown, args=(future,))\n thread.start()\n try:\n async with timeouts.timeout(timeout):\n await future\n except TimeoutError:\n warnings.warn(\"The executor did not finishing joining \"\n f\"its threads within {timeout} seconds.\",\n RuntimeWarning, stacklevel=2)\n self._default_executor.shutdown(wait=False)\n else:\n thread.join()\n\n def _do_shutdown(self, future):\n try:\n self._default_executor.shutdown(wait=True)\n if not self.is_closed():\n self.call_soon_threadsafe(futures._set_result_unless_cancelled,\n future, None)\n except Exception as ex:\n if not self.is_closed() and not future.cancelled():\n self.call_soon_threadsafe(future.set_exception, ex)\n\n def _check_running(self):\n if self.is_running():\n raise RuntimeError('This event loop is already running')\n if events._get_running_loop() is not None:\n raise RuntimeError(\n 'Cannot run the event loop while another loop is running')\n\n def run_forever(self):\n \"\"\"Run until stop() is called.\"\"\"\n self._check_closed()\n self._check_running()\n self._set_coroutine_origin_tracking(self._debug)\n\n old_agen_hooks = sys.get_asyncgen_hooks()\n try:\n self._thread_id = threading.get_ident()\n sys.set_asyncgen_hooks(firstiter=self._asyncgen_firstiter_hook,\n finalizer=self._asyncgen_finalizer_hook)\n\n events._set_running_loop(self)\n while True:\n self._run_once()\n if self._stopping:\n break\n finally:\n self._stopping = False\n self._thread_id = None\n events._set_running_loop(None)\n self._set_coroutine_origin_tracking(False)\n sys.set_asyncgen_hooks(*old_agen_hooks)\n\n def run_until_complete(self, future):\n \"\"\"Run until the Future is done.\n\n If the argument is a coroutine, it is wrapped in a Task.\n\n WARNING: It would be disastrous to call run_until_complete()\n with the same coroutine twice -- it would wrap it in two\n different Tasks and that can't be good.\n\n Return the Future's result, or raise its exception.\n \"\"\"\n self._check_closed()\n self._check_running()\n\n new_task = not futures.isfuture(future)\n future = tasks.ensure_future(future, loop=self)\n if new_task:\n # An exception is raised if the future didn't complete, so there\n # is no need to log the \"destroy pending task\" message\n future._log_destroy_pending = False\n\n future.add_done_callback(_run_until_complete_cb)\n try:\n self.run_forever()\n except:\n if new_task and future.done() and not future.cancelled():\n # The coroutine raised a BaseException. Consume the exception\n # to not log a warning, the caller doesn't have access to the\n # local task.\n future.exception()\n raise\n finally:\n future.remove_done_callback(_run_until_complete_cb)\n if not future.done():\n raise RuntimeError('Event loop stopped before Future completed.')\n\n return future.result()\n\n def stop(self):\n \"\"\"Stop running the event loop.\n\n Every callback already scheduled will still run. This simply informs\n run_forever to stop looping after a complete iteration.\n \"\"\"\n self._stopping = True\n\n def close(self):\n \"\"\"Close the event loop.\n\n This clears the queues and shuts down the executor,\n but does not wait for the executor to finish.\n\n The event loop must not be running.\n \"\"\"\n if self.is_running():\n raise RuntimeError(\"Cannot close a running event loop\")\n if self._closed:\n return\n if self._debug:\n logger.debug(\"Close %r\", self)\n self._closed = True\n self._ready.clear()\n self._scheduled.clear()\n self._executor_shutdown_called = True\n executor = self._default_executor\n if executor is not None:\n self._default_executor = None\n executor.shutdown(wait=False)\n\n def is_closed(self):\n \"\"\"Returns True if the event loop was closed.\"\"\"\n return self._closed\n\n def __del__(self, _warn=warnings.warn):\n if not self.is_closed():\n _warn(f\"unclosed event loop {self!r}\", ResourceWarning, source=self)\n if not self.is_running():\n self.close()\n\n def is_running(self):\n \"\"\"Returns True if the event loop is running.\"\"\"\n return (self._thread_id is not None)\n\n def time(self):\n \"\"\"Return the time according to the event loop's clock.\n\n This is a float expressed in seconds since an epoch, but the\n epoch, precision, accuracy and drift are unspecified and may\n differ per event loop.\n \"\"\"\n return time.monotonic()\n\n def call_later(self, delay, callback, *args, context=None):\n \"\"\"Arrange for a callback to be called at a given time.\n\n Return a Handle: an opaque object with a cancel() method that\n can be used to cancel the call.\n\n The delay can be an int or float, expressed in seconds. It is\n always relative to the current time.\n\n Each callback will be called exactly once. If two callbacks\n are scheduled for exactly the same time, it is undefined which\n will be called first.\n\n Any positional arguments after the callback will be passed to\n the callback when it is called.\n \"\"\"\n if delay is None:\n raise TypeError('delay must not be None')\n timer = self.call_at(self.time() + delay, callback, *args,\n context=context)\n if timer._source_traceback:\n del timer._source_traceback[-1]\n return timer\n\n def call_at(self, when, callback, *args, context=None):\n \"\"\"Like call_later(), but uses an absolute time.\n\n Absolute time corresponds to the event loop's time() method.\n \"\"\"\n if when is None:\n raise TypeError(\"when cannot be None\")\n self._check_closed()\n if self._debug:\n self._check_thread()\n self._check_callback(callback, 'call_at')\n timer = events.TimerHandle(when, callback, args, self, context)\n if timer._source_traceback:\n del timer._source_traceback[-1]\n heapq.heappush(self._scheduled, timer)\n timer._scheduled = True\n return timer\n\n def call_soon(self, callback, *args, context=None):\n \"\"\"Arrange for a callback to be called as soon as possible.\n\n This operates as a FIFO queue: callbacks are called in the\n order in which they are registered. Each callback will be\n called exactly once.\n\n Any positional arguments after the callback will be passed to\n the callback when it is called.\n \"\"\"\n self._check_closed()\n if self._debug:\n self._check_thread()\n self._check_callback(callback, 'call_soon')\n handle = self._call_soon(callback, args, context)\n if handle._source_traceback:\n del handle._source_traceback[-1]\n return handle\n\n def _check_callback(self, callback, method):\n if (coroutines.iscoroutine(callback) or\n coroutines.iscoroutinefunction(callback)):\n raise TypeError(\n f\"coroutines cannot be used with {method}()\")\n if not callable(callback):\n raise TypeError(\n f'a callable object was expected by {method}(), '\n f'got {callback!r}')\n\n def _call_soon(self, callback, args, context):\n handle = events.Handle(callback, args, self, context)\n if handle._source_traceback:\n del handle._source_traceback[-1]\n self._ready.append(handle)\n return handle\n\n def _check_thread(self):\n \"\"\"Check that the current thread is the thread running the event loop.\n\n Non-thread-safe methods of this class make this assumption and will\n likely behave incorrectly when the assumption is violated.\n\n Should only be called when (self._debug == True). The caller is\n responsible for checking this condition for performance reasons.\n \"\"\"\n if self._thread_id is None:\n return\n thread_id = threading.get_ident()\n if thread_id != self._thread_id:\n raise RuntimeError(\n \"Non-thread-safe operation invoked on an event loop other \"\n \"than the current one\")\n\n def call_soon_threadsafe(self, callback, *args, context=None):\n \"\"\"Like call_soon(), but thread-safe.\"\"\"\n self._check_closed()\n if self._debug:\n self._check_callback(callback, 'call_soon_threadsafe')\n handle = self._call_soon(callback, args, context)\n if handle._source_traceback:\n del handle._source_traceback[-1]\n self._write_to_self()\n return handle\n\n def run_in_executor(self, executor, func, *args):\n self._check_closed()\n if self._debug:\n self._check_callback(func, 'run_in_executor')\n if executor is None:\n executor = self._default_executor\n # Only check when the default executor is being used\n self._check_default_executor()\n if executor is None:\n executor = concurrent.futures.ThreadPoolExecutor(\n thread_name_prefix='asyncio'\n )\n self._default_executor = executor\n return futures.wrap_future(\n executor.submit(func, *args), loop=self)\n\n def set_default_executor(self, executor):\n if not isinstance(executor, concurrent.futures.ThreadPoolExecutor):\n raise TypeError('executor must be ThreadPoolExecutor instance')\n self._default_executor = executor\n\n def _getaddrinfo_debug(self, host, port, family, type, proto, flags):\n msg = [f\"{host}:{port!r}\"]\n if family:\n msg.append(f'family={family!r}')\n if type:\n msg.append(f'type={type!r}')\n if proto:\n msg.append(f'proto={proto!r}')\n if flags:\n msg.append(f'flags={flags!r}')\n msg = ', '.join(msg)\n logger.debug('Get address info %s', msg)\n\n t0 = self.time()\n addrinfo = socket.getaddrinfo(host, port, family, type, proto, flags)\n dt = self.time() - t0\n\n msg = f'Getting address info {msg} took {dt * 1e3:.3f}ms: {addrinfo!r}'\n if dt >= self.slow_callback_duration:\n logger.info(msg)\n else:\n logger.debug(msg)\n return addrinfo\n\n async def getaddrinfo(self, host, port, *,\n family=0, type=0, proto=0, flags=0):\n if self._debug:\n getaddr_func = self._getaddrinfo_debug\n else:\n getaddr_func = socket.getaddrinfo\n\n return await self.run_in_executor(\n None, getaddr_func, host, port, family, type, proto, flags)\n\n async def getnameinfo(self, sockaddr, flags=0):\n return await self.run_in_executor(\n None, socket.getnameinfo, sockaddr, flags)\n\n async def sock_sendfile(self, sock, file, offset=0, count=None,\n *, fallback=True):\n if self._debug and sock.gettimeout() != 0:\n raise ValueError(\"the socket must be non-blocking\")\n _check_ssl_socket(sock)\n self._check_sendfile_params(sock, file, offset, count)\n try:\n return await self._sock_sendfile_native(sock, file,\n offset, count)\n except exceptions.SendfileNotAvailableError as exc:\n if not fallback:\n raise\n return await self._sock_sendfile_fallback(sock, file,\n offset, count)\n\n async def _sock_sendfile_native(self, sock, file, offset, count):\n # NB: sendfile syscall is not supported for SSL sockets and\n # non-mmap files even if sendfile is supported by OS\n raise exceptions.SendfileNotAvailableError(\n f\"syscall sendfile is not available for socket {sock!r} \"\n f\"and file {file!r} combination\")\n\n async def _sock_sendfile_fallback(self, sock, file, offset, count):\n if offset:\n file.seek(offset)\n blocksize = (\n min(count, constants.SENDFILE_FALLBACK_READBUFFER_SIZE)\n if count else constants.SENDFILE_FALLBACK_READBUFFER_SIZE\n )\n buf = bytearray(blocksize)\n total_sent = 0\n try:\n while True:\n if count:\n blocksize = min(count - total_sent, blocksize)\n if blocksize <= 0:\n break\n view = memoryview(buf)[:blocksize]\n read = await self.run_in_executor(None, file.readinto, view)\n if not read:\n break # EOF\n await self.sock_sendall(sock, view[:read])\n total_sent += read\n return total_sent\n finally:\n if total_sent > 0 and hasattr(file, 'seek'):\n file.seek(offset + total_sent)\n\n def _check_sendfile_params(self, sock, file, offset, count):\n if 'b' not in getattr(file, 'mode', 'b'):\n raise ValueError(\"file should be opened in binary mode\")\n if not sock.type == socket.SOCK_STREAM:\n raise ValueError(\"only SOCK_STREAM type sockets are supported\")\n if count is not None:\n if not isinstance(count, int):\n raise TypeError(\n \"count must be a positive integer (got {!r})\".format(count))\n if count <= 0:\n raise ValueError(\n \"count must be a positive integer (got {!r})\".format(count))\n if not isinstance(offset, int):\n raise TypeError(\n \"offset must be a non-negative integer (got {!r})\".format(\n offset))\n if offset < 0:\n raise ValueError(\n \"offset must be a non-negative integer (got {!r})\".format(\n offset))\n\n async def _connect_sock(self, exceptions, addr_info, local_addr_infos=None):\n \"\"\"Create, bind and connect one socket.\"\"\"\n my_exceptions = []\n exceptions.append(my_exceptions)\n family, type_, proto, _, address = addr_info\n sock = None\n try:\n sock = socket.socket(family=family, type=type_, proto=proto)\n sock.setblocking(False)\n if local_addr_infos is not None:\n for lfamily, _, _, _, laddr in local_addr_infos:\n # skip local addresses of different family\n if lfamily != family:\n continue\n try:\n sock.bind(laddr)\n break\n except OSError as exc:\n msg = (\n f'error while attempting to bind on '\n f'address {laddr!r}: '\n f'{exc.strerror.lower()}'\n )\n exc = OSError(exc.errno, msg)\n my_exceptions.append(exc)\n else: # all bind attempts failed\n if my_exceptions:\n raise my_exceptions.pop()\n else:\n raise OSError(f\"no matching local address with {family=} found\")\n await self.sock_connect(sock, address)\n return sock\n except OSError as exc:\n my_exceptions.append(exc)\n if sock is not None:\n sock.close()\n raise\n except:\n if sock is not None:\n sock.close()\n raise\n finally:\n exceptions = my_exceptions = None\n\n async def create_connection(\n self, protocol_factory, host=None, port=None,\n *, ssl=None, family=0,\n proto=0, flags=0, sock=None,\n local_addr=None, server_hostname=None,\n ssl_handshake_timeout=None,\n ssl_shutdown_timeout=None,\n happy_eyeballs_delay=None, interleave=None,\n all_errors=False):\n \"\"\"Connect to a TCP server.\n\n Create a streaming transport connection to a given internet host and\n port: socket family AF_INET or socket.AF_INET6 depending on host (or\n family if specified), socket type SOCK_STREAM. protocol_factory must be\n a callable returning a protocol instance.\n\n This method is a coroutine which will try to establish the connection\n in the background. When successful, the coroutine returns a\n (transport, protocol) pair.\n \"\"\"\n if server_hostname is not None and not ssl:\n raise ValueError('server_hostname is only meaningful with ssl')\n\n if server_hostname is None and ssl:\n # Use host as default for server_hostname. It is an error\n # if host is empty or not set, e.g. when an\n # already-connected socket was passed or when only a port\n # is given. To avoid this error, you can pass\n # server_hostname='' -- this will bypass the hostname\n # check. (This also means that if host is a numeric\n # IP/IPv6 address, we will attempt to verify that exact\n # address; this will probably fail, but it is possible to\n # create a certificate for a specific IP address, so we\n # don't judge it here.)\n if not host:\n raise ValueError('You must set server_hostname '\n 'when using ssl without a host')\n server_hostname = host\n\n if ssl_handshake_timeout is not None and not ssl:\n raise ValueError(\n 'ssl_handshake_timeout is only meaningful with ssl')\n\n if ssl_shutdown_timeout is not None and not ssl:\n raise ValueError(\n 'ssl_shutdown_timeout is only meaningful with ssl')\n\n if sock is not None:\n _check_ssl_socket(sock)\n\n if happy_eyeballs_delay is not None and interleave is None:\n # If using happy eyeballs, default to interleave addresses by family\n interleave = 1\n\n if host is not None or port is not None:\n if sock is not None:\n raise ValueError(\n 'host/port and sock can not be specified at the same time')\n\n infos = await self._ensure_resolved(\n (host, port), family=family,\n type=socket.SOCK_STREAM, proto=proto, flags=flags, loop=self)\n if not infos:\n raise OSError('getaddrinfo() returned empty list')\n\n if local_addr is not None:\n laddr_infos = await self._ensure_resolved(\n local_addr, family=family,\n type=socket.SOCK_STREAM, proto=proto,\n flags=flags, loop=self)\n if not laddr_infos:\n raise OSError('getaddrinfo() returned empty list')\n else:\n laddr_infos = None\n\n if interleave:\n infos = _interleave_addrinfos(infos, interleave)\n\n exceptions = []\n if happy_eyeballs_delay is None:\n # not using happy eyeballs\n for addrinfo in infos:\n try:\n sock = await self._connect_sock(\n exceptions, addrinfo, laddr_infos)\n break\n except OSError:\n continue\n else: # using happy eyeballs\n sock, _, _ = await staggered.staggered_race(\n (functools.partial(self._connect_sock,\n exceptions, addrinfo, laddr_infos)\n for addrinfo in infos),\n happy_eyeballs_delay, loop=self)\n\n if sock is None:\n exceptions = [exc for sub in exceptions for exc in sub]\n try:\n if all_errors:\n raise ExceptionGroup(\"create_connection failed\", exceptions)\n if len(exceptions) == 1:\n raise exceptions[0]\n else:\n # If they all have the same str(), raise one.\n model = str(exceptions[0])\n if all(str(exc) == model for exc in exceptions):\n raise exceptions[0]\n # Raise a combined exception so the user can see all\n # the various error messages.\n raise OSError('Multiple exceptions: {}'.format(\n ', '.join(str(exc) for exc in exceptions)))\n finally:\n exceptions = None\n\n else:\n if sock is None:\n raise ValueError(\n 'host and port was not specified and no sock specified')\n if sock.type != socket.SOCK_STREAM:\n # We allow AF_INET, AF_INET6, AF_UNIX as long as they\n # are SOCK_STREAM.\n # We support passing AF_UNIX sockets even though we have\n # a dedicated API for that: create_unix_connection.\n # Disallowing AF_UNIX in this method, breaks backwards\n # compatibility.\n raise ValueError(\n f'A Stream Socket was expected, got {sock!r}')\n\n transport, protocol = await self._create_connection_transport(\n sock, protocol_factory, ssl, server_hostname,\n ssl_handshake_timeout=ssl_handshake_timeout,\n ssl_shutdown_timeout=ssl_shutdown_timeout)\n if self._debug:\n # Get the socket from the transport because SSL transport closes\n # the old socket and creates a new SSL socket\n sock = transport.get_extra_info('socket')\n logger.debug(\"%r connected to %s:%r: (%r, %r)\",\n sock, host, port, transport, protocol)\n return transport, protocol\n\n async def _create_connection_transport(\n self, sock, protocol_factory, ssl,\n server_hostname, server_side=False,\n ssl_handshake_timeout=None,\n ssl_shutdown_timeout=None):\n\n sock.setblocking(False)\n\n protocol = protocol_factory()\n waiter = self.create_future()\n if ssl:\n sslcontext = None if isinstance(ssl, bool) else ssl\n transport = self._make_ssl_transport(\n sock, protocol, sslcontext, waiter,\n server_side=server_side, server_hostname=server_hostname,\n ssl_handshake_timeout=ssl_handshake_timeout,\n ssl_shutdown_timeout=ssl_shutdown_timeout)\n else:\n transport = self._make_socket_transport(sock, protocol, waiter)\n\n try:\n await waiter\n except:\n transport.close()\n raise\n\n return transport, protocol\n\n async def sendfile(self, transport, file, offset=0, count=None,\n *, fallback=True):\n \"\"\"Send a file to transport.\n\n Return the total number of bytes which were sent.\n\n The method uses high-performance os.sendfile if available.\n\n file must be a regular file object opened in binary mode.\n\n offset tells from where to start reading the file. If specified,\n count is the total number of bytes to transmit as opposed to\n sending the file until EOF is reached. File position is updated on\n return or also in case of error in which case file.tell()\n can be used to figure out the number of bytes\n which were sent.\n\n fallback set to True makes asyncio to manually read and send\n the file when the platform does not support the sendfile syscall\n (e.g. Windows or SSL socket on Unix).\n\n Raise SendfileNotAvailableError if the system does not support\n sendfile syscall and fallback is False.\n \"\"\"\n if transport.is_closing():\n raise RuntimeError(\"Transport is closing\")\n mode = getattr(transport, '_sendfile_compatible',\n constants._SendfileMode.UNSUPPORTED)\n if mode is constants._SendfileMode.UNSUPPORTED:\n raise RuntimeError(\n f\"sendfile is not supported for transport {transport!r}\")\n if mode is constants._SendfileMode.TRY_NATIVE:\n try:\n return await self._sendfile_native(transport, file,\n offset, count)\n except exceptions.SendfileNotAvailableError as exc:\n if not fallback:\n raise\n\n if not fallback:\n raise RuntimeError(\n f\"fallback is disabled and native sendfile is not \"\n f\"supported for transport {transport!r}\")\n\n return await self._sendfile_fallback(transport, file,\n offset, count)\n\n async def _sendfile_native(self, transp, file, offset, count):\n raise exceptions.SendfileNotAvailableError(\n \"sendfile syscall is not supported\")\n\n async def _sendfile_fallback(self, transp, file, offset, count):\n if offset:\n file.seek(offset)\n blocksize = min(count, 16384) if count else 16384\n buf = bytearray(blocksize)\n total_sent = 0\n proto = _SendfileFallbackProtocol(transp)\n try:\n while True:\n if count:\n blocksize = min(count - total_sent, blocksize)\n if blocksize <= 0:\n return total_sent\n view = memoryview(buf)[:blocksize]\n read = await self.run_in_executor(None, file.readinto, view)\n if not read:\n return total_sent # EOF\n await proto.drain()\n transp.write(view[:read])\n total_sent += read\n finally:\n if total_sent > 0 and hasattr(file, 'seek'):\n file.seek(offset + total_sent)\n await proto.restore()\n\n async def start_tls(self, transport, protocol, sslcontext, *,\n server_side=False,\n server_hostname=None,\n ssl_handshake_timeout=None,\n ssl_shutdown_timeout=None):\n \"\"\"Upgrade transport to TLS.\n\n Return a new transport that *protocol* should start using\n immediately.\n \"\"\"\n if ssl is None:\n raise RuntimeError('Python ssl module is not available')\n\n if not isinstance(sslcontext, ssl.SSLContext):\n raise TypeError(\n f'sslcontext is expected to be an instance of ssl.SSLContext, '\n f'got {sslcontext!r}')\n\n if not getattr(transport, '_start_tls_compatible', False):\n raise TypeError(\n f'transport {transport!r} is not supported by start_tls()')\n\n waiter = self.create_future()\n ssl_protocol = sslproto.SSLProtocol(\n self, protocol, sslcontext, waiter,\n server_side, server_hostname,\n ssl_handshake_timeout=ssl_handshake_timeout,\n ssl_shutdown_timeout=ssl_shutdown_timeout,\n call_connection_made=False)\n\n # Pause early so that \"ssl_protocol.data_received()\" doesn't\n # have a chance to get called before \"ssl_protocol.connection_made()\".\n transport.pause_reading()\n\n transport.set_protocol(ssl_protocol)\n conmade_cb = self.call_soon(ssl_protocol.connection_made, transport)\n resume_cb = self.call_soon(transport.resume_reading)\n\n try:\n await waiter\n except BaseException:\n transport.close()\n conmade_cb.cancel()\n resume_cb.cancel()\n raise\n\n return ssl_protocol._app_transport\n\n async def create_datagram_endpoint(self, protocol_factory,\n local_addr=None, remote_addr=None, *,\n family=0, proto=0, flags=0,\n reuse_port=None,\n allow_broadcast=None, sock=None):\n \"\"\"Create datagram connection.\"\"\"\n if sock is not None:\n if sock.type == socket.SOCK_STREAM:\n raise ValueError(\n f'A datagram socket was expected, got {sock!r}')\n if (local_addr or remote_addr or\n family or proto or flags or\n reuse_port or allow_broadcast):\n # show the problematic kwargs in exception msg\n opts = dict(local_addr=local_addr, remote_addr=remote_addr,\n family=family, proto=proto, flags=flags,\n reuse_port=reuse_port,\n allow_broadcast=allow_broadcast)\n problems = ', '.join(f'{k}={v}' for k, v in opts.items() if v)\n raise ValueError(\n f'socket modifier keyword arguments can not be used '\n f'when sock is specified. ({problems})')\n sock.setblocking(False)\n r_addr = None\n else:\n if not (local_addr or remote_addr):\n if family == 0:\n raise ValueError('unexpected address family')\n addr_pairs_info = (((family, proto), (None, None)),)\n elif hasattr(socket, 'AF_UNIX') and family == socket.AF_UNIX:\n for addr in (local_addr, remote_addr):\n if addr is not None and not isinstance(addr, str):\n raise TypeError('string is expected')\n\n if local_addr and local_addr[0] not in (0, '\\x00'):\n try:\n if stat.S_ISSOCK(os.stat(local_addr).st_mode):\n os.remove(local_addr)\n except FileNotFoundError:\n pass\n except OSError as err:\n # Directory may have permissions only to create socket.\n logger.error('Unable to check or remove stale UNIX '\n 'socket %r: %r',\n local_addr, err)\n\n addr_pairs_info = (((family, proto),\n (local_addr, remote_addr)), )\n else:\n # join address by (family, protocol)\n addr_infos = {} # Using order preserving dict\n for idx, addr in ((0, local_addr), (1, remote_addr)):\n if addr is not None:\n if not (isinstance(addr, tuple) and len(addr) == 2):\n raise TypeError('2-tuple is expected')\n\n infos = await self._ensure_resolved(\n addr, family=family, type=socket.SOCK_DGRAM,\n proto=proto, flags=flags, loop=self)\n if not infos:\n raise OSError('getaddrinfo() returned empty list')\n\n for fam, _, pro, _, address in infos:\n key = (fam, pro)\n if key not in addr_infos:\n addr_infos[key] = [None, None]\n addr_infos[key][idx] = address\n\n # each addr has to have info for each (family, proto) pair\n addr_pairs_info = [\n (key, addr_pair) for key, addr_pair in addr_infos.items()\n if not ((local_addr and addr_pair[0] is None) or\n (remote_addr and addr_pair[1] is None))]\n\n if not addr_pairs_info:\n raise ValueError('can not get address information')\n\n exceptions = []\n\n for ((family, proto),\n (local_address, remote_address)) in addr_pairs_info:\n sock = None\n r_addr = None\n try:\n sock = socket.socket(\n family=family, type=socket.SOCK_DGRAM, proto=proto)\n if reuse_port:\n _set_reuseport(sock)\n if allow_broadcast:\n sock.setsockopt(\n socket.SOL_SOCKET, socket.SO_BROADCAST, 1)\n sock.setblocking(False)\n\n if local_addr:\n sock.bind(local_address)\n if remote_addr:\n if not allow_broadcast:\n await self.sock_connect(sock, remote_address)\n r_addr = remote_address\n except OSError as exc:\n if sock is not None:\n sock.close()\n exceptions.append(exc)\n except:\n if sock is not None:\n sock.close()\n raise\n else:\n break\n else:\n raise exceptions[0]\n\n protocol = protocol_factory()\n waiter = self.create_future()\n transport = self._make_datagram_transport(\n sock, protocol, r_addr, waiter)\n if self._debug:\n if local_addr:\n logger.info(\"Datagram endpoint local_addr=%r remote_addr=%r \"\n \"created: (%r, %r)\",\n local_addr, remote_addr, transport, protocol)\n else:\n logger.debug(\"Datagram endpoint remote_addr=%r created: \"\n \"(%r, %r)\",\n remote_addr, transport, protocol)\n\n try:\n await waiter\n except:\n transport.close()\n raise\n\n return transport, protocol\n\n async def _ensure_resolved(self, address, *,\n family=0, type=socket.SOCK_STREAM,\n proto=0, flags=0, loop):\n host, port = address[:2]\n info = _ipaddr_info(host, port, family, type, proto, *address[2:])\n if info is not None:\n # \"host\" is already a resolved IP.\n return [info]\n else:\n return await loop.getaddrinfo(host, port, family=family, type=type,\n proto=proto, flags=flags)\n\n async def _create_server_getaddrinfo(self, host, port, family, flags):\n infos = await self._ensure_resolved((host, port), family=family,\n type=socket.SOCK_STREAM,\n flags=flags, loop=self)\n if not infos:\n raise OSError(f'getaddrinfo({host!r}) returned empty list')\n return infos\n\n async def create_server(\n self, protocol_factory, host=None, port=None,\n *,\n family=socket.AF_UNSPEC,\n flags=socket.AI_PASSIVE,\n sock=None,\n backlog=100,\n ssl=None,\n reuse_address=None,\n reuse_port=None,\n ssl_handshake_timeout=None,\n ssl_shutdown_timeout=None,\n start_serving=True):\n \"\"\"Create a TCP server.\n\n The host parameter can be a string, in that case the TCP server is\n bound to host and port.\n\n The host parameter can also be a sequence of strings and in that case\n the TCP server is bound to all hosts of the sequence. If a host\n appears multiple times (possibly indirectly e.g. when hostnames\n resolve to the same IP address), the server is only bound once to that\n host.\n\n Return a Server object which can be used to stop the service.\n\n This method is a coroutine.\n \"\"\"\n if isinstance(ssl, bool):\n raise TypeError('ssl argument must be an SSLContext or None')\n\n if ssl_handshake_timeout is not None and ssl is None:\n raise ValueError(\n 'ssl_handshake_timeout is only meaningful with ssl')\n\n if ssl_shutdown_timeout is not None and ssl is None:\n raise ValueError(\n 'ssl_shutdown_timeout is only meaningful with ssl')\n\n if sock is not None:\n _check_ssl_socket(sock)\n\n if host is not None or port is not None:\n if sock is not None:\n raise ValueError(\n 'host/port and sock can not be specified at the same time')\n\n if reuse_address is None:\n reuse_address = os.name == \"posix\" and sys.platform != \"cygwin\"\n sockets = []\n if host == '':\n hosts = [None]\n elif (isinstance(host, str) or\n not isinstance(host, collections.abc.Iterable)):\n hosts = [host]\n else:\n hosts = host\n\n fs = [self._create_server_getaddrinfo(host, port, family=family,\n flags=flags)\n for host in hosts]\n infos = await tasks.gather(*fs)\n infos = set(itertools.chain.from_iterable(infos))\n\n completed = False\n try:\n for res in infos:\n af, socktype, proto, canonname, sa = res\n try:\n sock = socket.socket(af, socktype, proto)\n except socket.error:\n # Assume it's a bad family/type/protocol combination.\n if self._debug:\n logger.warning('create_server() failed to create '\n 'socket.socket(%r, %r, %r)',\n af, socktype, proto, exc_info=True)\n continue\n sockets.append(sock)\n if reuse_address:\n sock.setsockopt(\n socket.SOL_SOCKET, socket.SO_REUSEADDR, True)\n if reuse_port:\n _set_reuseport(sock)\n # Disable IPv4/IPv6 dual stack support (enabled by\n # default on Linux) which makes a single socket\n # listen on both address families.\n if (_HAS_IPv6 and\n af == socket.AF_INET6 and\n hasattr(socket, 'IPPROTO_IPV6')):\n sock.setsockopt(socket.IPPROTO_IPV6,\n socket.IPV6_V6ONLY,\n True)\n try:\n sock.bind(sa)\n except OSError as err:\n msg = ('error while attempting '\n 'to bind on address %r: %s'\n % (sa, err.strerror.lower()))\n if err.errno == errno.EADDRNOTAVAIL:\n # Assume the family is not enabled (bpo-30945)\n sockets.pop()\n sock.close()\n if self._debug:\n logger.warning(msg)\n continue\n raise OSError(err.errno, msg) from None\n\n if not sockets:\n raise OSError('could not bind on any address out of %r'\n % ([info[4] for info in infos],))\n\n completed = True\n finally:\n if not completed:\n for sock in sockets:\n sock.close()\n else:\n if sock is None:\n raise ValueError('Neither host/port nor sock were specified')\n if sock.type != socket.SOCK_STREAM:\n raise ValueError(f'A Stream Socket was expected, got {sock!r}')\n sockets = [sock]\n\n for sock in sockets:\n sock.setblocking(False)\n\n server = Server(self, sockets, protocol_factory,\n ssl, backlog, ssl_handshake_timeout,\n ssl_shutdown_timeout)\n if start_serving:\n server._start_serving()\n # Skip one loop iteration so that all 'loop.add_reader'\n # go through.\n await tasks.sleep(0)\n\n if self._debug:\n logger.info(\"%r is serving\", server)\n return server\n\n async def connect_accepted_socket(\n self, protocol_factory, sock,\n *, ssl=None,\n ssl_handshake_timeout=None,\n ssl_shutdown_timeout=None):\n if sock.type != socket.SOCK_STREAM:\n raise ValueError(f'A Stream Socket was expected, got {sock!r}')\n\n if ssl_handshake_timeout is not None and not ssl:\n raise ValueError(\n 'ssl_handshake_timeout is only meaningful with ssl')\n\n if ssl_shutdown_timeout is not None and not ssl:\n raise ValueError(\n 'ssl_shutdown_timeout is only meaningful with ssl')\n\n if sock is not None:\n _check_ssl_socket(sock)\n\n transport, protocol = await self._create_connection_transport(\n sock, protocol_factory, ssl, '', server_side=True,\n ssl_handshake_timeout=ssl_handshake_timeout,\n ssl_shutdown_timeout=ssl_shutdown_timeout)\n if self._debug:\n # Get the socket from the transport because SSL transport closes\n # the old socket and creates a new SSL socket\n sock = transport.get_extra_info('socket')\n logger.debug(\"%r handled: (%r, %r)\", sock, transport, protocol)\n return transport, protocol\n\n async def connect_read_pipe(self, protocol_factory, pipe):\n protocol = protocol_factory()\n waiter = self.create_future()\n transport = self._make_read_pipe_transport(pipe, protocol, waiter)\n\n try:\n await waiter\n except:\n transport.close()\n raise\n\n if self._debug:\n logger.debug('Read pipe %r connected: (%r, %r)',\n pipe.fileno(), transport, protocol)\n return transport, protocol\n\n async def connect_write_pipe(self, protocol_factory, pipe):\n protocol = protocol_factory()\n waiter = self.create_future()\n transport = self._make_write_pipe_transport(pipe, protocol, waiter)\n\n try:\n await waiter\n except:\n transport.close()\n raise\n\n if self._debug:\n logger.debug('Write pipe %r connected: (%r, %r)',\n pipe.fileno(), transport, protocol)\n return transport, protocol\n\n def _log_subprocess(self, msg, stdin, stdout, stderr):\n info = [msg]\n if stdin is not None:\n info.append(f'stdin={_format_pipe(stdin)}')\n if stdout is not None and stderr == subprocess.STDOUT:\n info.append(f'stdout=stderr={_format_pipe(stdout)}')\n else:\n if stdout is not None:\n info.append(f'stdout={_format_pipe(stdout)}')\n if stderr is not None:\n info.append(f'stderr={_format_pipe(stderr)}')\n logger.debug(' '.join(info))\n\n async def subprocess_shell(self, protocol_factory, cmd, *,\n stdin=subprocess.PIPE,\n stdout=subprocess.PIPE,\n stderr=subprocess.PIPE,\n universal_newlines=False,\n shell=True, bufsize=0,\n encoding=None, errors=None, text=None,\n **kwargs):\n if not isinstance(cmd, (bytes, str)):\n raise ValueError(\"cmd must be a string\")\n if universal_newlines:\n raise ValueError(\"universal_newlines must be False\")\n if not shell:\n raise ValueError(\"shell must be True\")\n if bufsize != 0:\n raise ValueError(\"bufsize must be 0\")\n if text:\n raise ValueError(\"text must be False\")\n if encoding is not None:\n raise ValueError(\"encoding must be None\")\n if errors is not None:\n raise ValueError(\"errors must be None\")\n\n protocol = protocol_factory()\n debug_log = None\n if self._debug:\n # don't log parameters: they may contain sensitive information\n # (password) and may be too long\n debug_log = 'run shell command %r' % cmd\n self._log_subprocess(debug_log, stdin, stdout, stderr)\n transport = await self._make_subprocess_transport(\n protocol, cmd, True, stdin, stdout, stderr, bufsize, **kwargs)\n if self._debug and debug_log is not None:\n logger.info('%s: %r', debug_log, transport)\n return transport, protocol\n\n async def subprocess_exec(self, protocol_factory, program, *args,\n stdin=subprocess.PIPE, stdout=subprocess.PIPE,\n stderr=subprocess.PIPE, universal_newlines=False,\n shell=False, bufsize=0,\n encoding=None, errors=None, text=None,\n **kwargs):\n if universal_newlines:\n raise ValueError(\"universal_newlines must be False\")\n if shell:\n raise ValueError(\"shell must be False\")\n if bufsize != 0:\n raise ValueError(\"bufsize must be 0\")\n if text:\n raise ValueError(\"text must be False\")\n if encoding is not None:\n raise ValueError(\"encoding must be None\")\n if errors is not None:\n raise ValueError(\"errors must be None\")\n\n popen_args = (program,) + args\n protocol = protocol_factory()\n debug_log = None\n if self._debug:\n # don't log parameters: they may contain sensitive information\n # (password) and may be too long\n debug_log = f'execute program {program!r}'\n self._log_subprocess(debug_log, stdin, stdout, stderr)\n transport = await self._make_subprocess_transport(\n protocol, popen_args, False, stdin, stdout, stderr,\n bufsize, **kwargs)\n if self._debug and debug_log is not None:\n logger.info('%s: %r', debug_log, transport)\n return transport, protocol\n\n def get_exception_handler(self):\n \"\"\"Return an exception handler, or None if the default one is in use.\n \"\"\"\n return self._exception_handler\n\n def set_exception_handler(self, handler):\n \"\"\"Set handler as the new event loop exception handler.\n\n If handler is None, the default exception handler will\n be set.\n\n If handler is a callable object, it should have a\n signature matching '(loop, context)', where 'loop'\n will be a reference to the active event loop, 'context'\n will be a dict object (see `call_exception_handler()`\n documentation for details about context).\n \"\"\"\n if handler is not None and not callable(handler):\n raise TypeError(f'A callable object or None is expected, '\n f'got {handler!r}')\n self._exception_handler = handler\n\n def default_exception_handler(self, context):\n \"\"\"Default exception handler.\n\n This is called when an exception occurs and no exception\n handler is set, and can be called by a custom exception\n handler that wants to defer to the default behavior.\n\n This default handler logs the error message and other\n context-dependent information. In debug mode, a truncated\n stack trace is also appended showing where the given object\n (e.g. a handle or future or task) was created, if any.\n\n The context parameter has the same meaning as in\n `call_exception_handler()`.\n \"\"\"\n message = context.get('message')\n if not message:\n message = 'Unhandled exception in event loop'\n\n exception = context.get('exception')\n if exception is not None:\n exc_info = (type(exception), exception, exception.__traceback__)\n else:\n exc_info = False\n\n if ('source_traceback' not in context and\n self._current_handle is not None and\n self._current_handle._source_traceback):\n context['handle_traceback'] = \\\n self._current_handle._source_traceback\n\n log_lines = [message]\n for key in sorted(context):\n if key in {'message', 'exception'}:\n continue\n value = context[key]\n if key == 'source_traceback':\n tb = ''.join(traceback.format_list(value))\n value = 'Object created at (most recent call last):\\n'\n value += tb.rstrip()\n elif key == 'handle_traceback':\n tb = ''.join(traceback.format_list(value))\n value = 'Handle created at (most recent call last):\\n'\n value += tb.rstrip()\n else:\n value = repr(value)\n log_lines.append(f'{key}: {value}')\n\n logger.error('\\n'.join(log_lines), exc_info=exc_info)\n\n def call_exception_handler(self, context):\n \"\"\"Call the current event loop's exception handler.\n\n The context argument is a dict containing the following keys:\n\n - 'message': Error message;\n - 'exception' (optional): Exception object;\n - 'future' (optional): Future instance;\n - 'task' (optional): Task instance;\n - 'handle' (optional): Handle instance;\n - 'protocol' (optional): Protocol instance;\n - 'transport' (optional): Transport instance;\n - 'socket' (optional): Socket instance;\n - 'asyncgen' (optional): Asynchronous generator that caused\n the exception.\n\n New keys maybe introduced in the future.\n\n Note: do not overload this method in an event loop subclass.\n For custom exception handling, use the\n `set_exception_handler()` method.\n \"\"\"\n if self._exception_handler is None:\n try:\n self.default_exception_handler(context)\n except (SystemExit, KeyboardInterrupt):\n raise\n except BaseException:\n # Second protection layer for unexpected errors\n # in the default implementation, as well as for subclassed\n # event loops with overloaded \"default_exception_handler\".\n logger.error('Exception in default exception handler',\n exc_info=True)\n else:\n try:\n ctx = None\n thing = context.get(\"task\")\n if thing is None:\n # Even though Futures don't have a context,\n # Task is a subclass of Future,\n # and sometimes the 'future' key holds a Task.\n thing = context.get(\"future\")\n if thing is None:\n # Handles also have a context.\n thing = context.get(\"handle\")\n if thing is not None and hasattr(thing, \"get_context\"):\n ctx = thing.get_context()\n if ctx is not None and hasattr(ctx, \"run\"):\n ctx.run(self._exception_handler, self, context)\n else:\n self._exception_handler(self, context)\n except (SystemExit, KeyboardInterrupt):\n raise\n except BaseException as exc:\n # Exception in the user set custom exception handler.\n try:\n # Let's try default handler.\n self.default_exception_handler({\n 'message': 'Unhandled error in exception handler',\n 'exception': exc,\n 'context': context,\n })\n except (SystemExit, KeyboardInterrupt):\n raise\n except BaseException:\n # Guard 'default_exception_handler' in case it is\n # overloaded.\n logger.error('Exception in default exception handler '\n 'while handling an unexpected error '\n 'in custom exception handler',\n exc_info=True)\n\n def _add_callback(self, handle):\n \"\"\"Add a Handle to _ready.\"\"\"\n if not handle._cancelled:\n self._ready.append(handle)\n\n def _add_callback_signalsafe(self, handle):\n \"\"\"Like _add_callback() but called from a signal handler.\"\"\"\n self._add_callback(handle)\n self._write_to_self()\n\n def _timer_handle_cancelled(self, handle):\n \"\"\"Notification that a TimerHandle has been cancelled.\"\"\"\n if handle._scheduled:\n self._timer_cancelled_count += 1\n\n def _run_once(self):\n \"\"\"Run one full iteration of the event loop.\n\n This calls all currently ready callbacks, polls for I/O,\n schedules the resulting callbacks, and finally schedules\n 'call_later' callbacks.\n \"\"\"\n\n sched_count = len(self._scheduled)\n if (sched_count > _MIN_SCHEDULED_TIMER_HANDLES and\n self._timer_cancelled_count / sched_count >\n _MIN_CANCELLED_TIMER_HANDLES_FRACTION):\n # Remove delayed calls that were cancelled if their number\n # is too high\n new_scheduled = []\n for handle in self._scheduled:\n if handle._cancelled:\n handle._scheduled = False\n else:\n new_scheduled.append(handle)\n\n heapq.heapify(new_scheduled)\n self._scheduled = new_scheduled\n self._timer_cancelled_count = 0\n else:\n # Remove delayed calls that were cancelled from head of queue.\n while self._scheduled and self._scheduled[0]._cancelled:\n self._timer_cancelled_count -= 1\n handle = heapq.heappop(self._scheduled)\n handle._scheduled = False\n\n timeout = None\n if self._ready or self._stopping:\n timeout = 0\n elif self._scheduled:\n # Compute the desired timeout.\n when = self._scheduled[0]._when\n timeout = min(max(0, when - self.time()), MAXIMUM_SELECT_TIMEOUT)\n\n event_list = self._selector.select(timeout)\n self._process_events(event_list)\n # Needed to break cycles when an exception occurs.\n event_list = None\n\n # Handle 'later' callbacks that are ready.\n end_time = self.time() + self._clock_resolution\n while self._scheduled:\n handle = self._scheduled[0]\n if handle._when >= end_time:\n break\n handle = heapq.heappop(self._scheduled)\n handle._scheduled = False\n self._ready.append(handle)\n\n # This is the only place where callbacks are actually *called*.\n # All other places just add them to ready.\n # Note: We run all currently scheduled callbacks, but not any\n # callbacks scheduled by callbacks run this time around --\n # they will be run the next time (after another I/O poll).\n # Use an idiom that is thread-safe without using locks.\n ntodo = len(self._ready)\n for i in range(ntodo):\n handle = self._ready.popleft()\n if handle._cancelled:\n continue\n if self._debug:\n try:\n self._current_handle = handle\n t0 = self.time()\n handle._run()\n dt = self.time() - t0\n if dt >= self.slow_callback_duration:\n logger.warning('Executing %s took %.3f seconds',\n _format_handle(handle), dt)\n finally:\n self._current_handle = None\n else:\n handle._run()\n handle = None # Needed to break cycles when an exception occurs.\n\n def _set_coroutine_origin_tracking(self, enabled):\n if bool(enabled) == bool(self._coroutine_origin_tracking_enabled):\n return\n\n if enabled:\n self._coroutine_origin_tracking_saved_depth = (\n sys.get_coroutine_origin_tracking_depth())\n sys.set_coroutine_origin_tracking_depth(\n constants.DEBUG_STACK_DEPTH)\n else:\n sys.set_coroutine_origin_tracking_depth(\n self._coroutine_origin_tracking_saved_depth)\n\n self._coroutine_origin_tracking_enabled = enabled\n\n def get_debug(self):\n return self._debug\n\n def set_debug(self, enabled):\n self._debug = enabled\n\n if self.is_running():\n self.call_soon_threadsafe(self._set_coroutine_origin_tracking, enabled)\n", 2012], "/usr/lib/python3.12/_weakrefset.py": ["# Access WeakSet through the weakref module.\n# This code is separated-out because it is needed\n# by abc.py to load everything else at startup.\n\nfrom _weakref import ref\nfrom types import GenericAlias\n\n__all__ = ['WeakSet']\n\n\nclass _IterationGuard:\n # This context manager registers itself in the current iterators of the\n # weak container, such as to delay all removals until the context manager\n # exits.\n # This technique should be relatively thread-safe (since sets are).\n\n def __init__(self, weakcontainer):\n # Don't create cycles\n self.weakcontainer = ref(weakcontainer)\n\n def __enter__(self):\n w = self.weakcontainer()\n if w is not None:\n w._iterating.add(self)\n return self\n\n def __exit__(self, e, t, b):\n w = self.weakcontainer()\n if w is not None:\n s = w._iterating\n s.remove(self)\n if not s:\n w._commit_removals()\n\n\nclass WeakSet:\n def __init__(self, data=None):\n self.data = set()\n def _remove(item, selfref=ref(self)):\n self = selfref()\n if self is not None:\n if self._iterating:\n self._pending_removals.append(item)\n else:\n self.data.discard(item)\n self._remove = _remove\n # A list of keys to be removed\n self._pending_removals = []\n self._iterating = set()\n if data is not None:\n self.update(data)\n\n def _commit_removals(self):\n pop = self._pending_removals.pop\n discard = self.data.discard\n while True:\n try:\n item = pop()\n except IndexError:\n return\n discard(item)\n\n def __iter__(self):\n with _IterationGuard(self):\n for itemref in self.data:\n item = itemref()\n if item is not None:\n # Caveat: the iterator will keep a strong reference to\n # `item` until it is resumed or closed.\n yield item\n\n def __len__(self):\n return len(self.data) - len(self._pending_removals)\n\n def __contains__(self, item):\n try:\n wr = ref(item)\n except TypeError:\n return False\n return wr in self.data\n\n def __reduce__(self):\n return self.__class__, (list(self),), self.__getstate__()\n\n def add(self, item):\n if self._pending_removals:\n self._commit_removals()\n self.data.add(ref(item, self._remove))\n\n def clear(self):\n if self._pending_removals:\n self._commit_removals()\n self.data.clear()\n\n def copy(self):\n return self.__class__(self)\n\n def pop(self):\n if self._pending_removals:\n self._commit_removals()\n while True:\n try:\n itemref = self.data.pop()\n except KeyError:\n raise KeyError('pop from empty WeakSet') from None\n item = itemref()\n if item is not None:\n return item\n\n def remove(self, item):\n if self._pending_removals:\n self._commit_removals()\n self.data.remove(ref(item))\n\n def discard(self, item):\n if self._pending_removals:\n self._commit_removals()\n self.data.discard(ref(item))\n\n def update(self, other):\n if self._pending_removals:\n self._commit_removals()\n for element in other:\n self.add(element)\n\n def __ior__(self, other):\n self.update(other)\n return self\n\n def difference(self, other):\n newset = self.copy()\n newset.difference_update(other)\n return newset\n __sub__ = difference\n\n def difference_update(self, other):\n self.__isub__(other)\n def __isub__(self, other):\n if self._pending_removals:\n self._commit_removals()\n if self is other:\n self.data.clear()\n else:\n self.data.difference_update(ref(item) for item in other)\n return self\n\n def intersection(self, other):\n return self.__class__(item for item in other if item in self)\n __and__ = intersection\n\n def intersection_update(self, other):\n self.__iand__(other)\n def __iand__(self, other):\n if self._pending_removals:\n self._commit_removals()\n self.data.intersection_update(ref(item) for item in other)\n return self\n\n def issubset(self, other):\n return self.data.issubset(ref(item) for item in other)\n __le__ = issubset\n\n def __lt__(self, other):\n return self.data < set(map(ref, other))\n\n def issuperset(self, other):\n return self.data.issuperset(ref(item) for item in other)\n __ge__ = issuperset\n\n def __gt__(self, other):\n return self.data > set(map(ref, other))\n\n def __eq__(self, other):\n if not isinstance(other, self.__class__):\n return NotImplemented\n return self.data == set(map(ref, other))\n\n def symmetric_difference(self, other):\n newset = self.copy()\n newset.symmetric_difference_update(other)\n return newset\n __xor__ = symmetric_difference\n\n def symmetric_difference_update(self, other):\n self.__ixor__(other)\n def __ixor__(self, other):\n if self._pending_removals:\n self._commit_removals()\n if self is other:\n self.data.clear()\n else:\n self.data.symmetric_difference_update(ref(item, self._remove) for item in other)\n return self\n\n def union(self, other):\n return self.__class__(e for s in (self, other) for e in s)\n __or__ = union\n\n def isdisjoint(self, other):\n return len(self.intersection(other)) == 0\n\n def __repr__(self):\n return repr(self.data)\n\n __class_getitem__ = classmethod(GenericAlias)\n", 205], "/usr/lib/python3.12/selectors.py": ["\"\"\"Selectors module.\n\nThis module allows high-level and efficient I/O multiplexing, built upon the\n`select` module primitives.\n\"\"\"\n\n\nfrom abc import ABCMeta, abstractmethod\nfrom collections import namedtuple\nfrom collections.abc import Mapping\nimport math\nimport select\nimport sys\n\n\n# generic events, that must be mapped to implementation-specific ones\nEVENT_READ = (1 << 0)\nEVENT_WRITE = (1 << 1)\n\n\ndef _fileobj_to_fd(fileobj):\n \"\"\"Return a file descriptor from a file object.\n\n Parameters:\n fileobj -- file object or file descriptor\n\n Returns:\n corresponding file descriptor\n\n Raises:\n ValueError if the object is invalid\n \"\"\"\n if isinstance(fileobj, int):\n fd = fileobj\n else:\n try:\n fd = int(fileobj.fileno())\n except (AttributeError, TypeError, ValueError):\n raise ValueError(\"Invalid file object: \"\n \"{!r}\".format(fileobj)) from None\n if fd < 0:\n raise ValueError(\"Invalid file descriptor: {}\".format(fd))\n return fd\n\n\nSelectorKey = namedtuple('SelectorKey', ['fileobj', 'fd', 'events', 'data'])\n\nSelectorKey.__doc__ = \"\"\"SelectorKey(fileobj, fd, events, data)\n\n Object used to associate a file object to its backing\n file descriptor, selected event mask, and attached data.\n\"\"\"\nSelectorKey.fileobj.__doc__ = 'File object registered.'\nSelectorKey.fd.__doc__ = 'Underlying file descriptor.'\nSelectorKey.events.__doc__ = 'Events that must be waited for on this file object.'\nSelectorKey.data.__doc__ = ('''Optional opaque data associated to this file object.\nFor example, this could be used to store a per-client session ID.''')\n\n\nclass _SelectorMapping(Mapping):\n \"\"\"Mapping of file objects to selector keys.\"\"\"\n\n def __init__(self, selector):\n self._selector = selector\n\n def __len__(self):\n return len(self._selector._fd_to_key)\n\n def __getitem__(self, fileobj):\n try:\n fd = self._selector._fileobj_lookup(fileobj)\n return self._selector._fd_to_key[fd]\n except KeyError:\n raise KeyError(\"{!r} is not registered\".format(fileobj)) from None\n\n def __iter__(self):\n return iter(self._selector._fd_to_key)\n\n\nclass BaseSelector(metaclass=ABCMeta):\n \"\"\"Selector abstract base class.\n\n A selector supports registering file objects to be monitored for specific\n I/O events.\n\n A file object is a file descriptor or any object with a `fileno()` method.\n An arbitrary object can be attached to the file object, which can be used\n for example to store context information, a callback, etc.\n\n A selector can use various implementations (select(), poll(), epoll()...)\n depending on the platform. The default `Selector` class uses the most\n efficient implementation on the current platform.\n \"\"\"\n\n @abstractmethod\n def register(self, fileobj, events, data=None):\n \"\"\"Register a file object.\n\n Parameters:\n fileobj -- file object or file descriptor\n events -- events to monitor (bitwise mask of EVENT_READ|EVENT_WRITE)\n data -- attached data\n\n Returns:\n SelectorKey instance\n\n Raises:\n ValueError if events is invalid\n KeyError if fileobj is already registered\n OSError if fileobj is closed or otherwise is unacceptable to\n the underlying system call (if a system call is made)\n\n Note:\n OSError may or may not be raised\n \"\"\"\n raise NotImplementedError\n\n @abstractmethod\n def unregister(self, fileobj):\n \"\"\"Unregister a file object.\n\n Parameters:\n fileobj -- file object or file descriptor\n\n Returns:\n SelectorKey instance\n\n Raises:\n KeyError if fileobj is not registered\n\n Note:\n If fileobj is registered but has since been closed this does\n *not* raise OSError (even if the wrapped syscall does)\n \"\"\"\n raise NotImplementedError\n\n def modify(self, fileobj, events, data=None):\n \"\"\"Change a registered file object monitored events or attached data.\n\n Parameters:\n fileobj -- file object or file descriptor\n events -- events to monitor (bitwise mask of EVENT_READ|EVENT_WRITE)\n data -- attached data\n\n Returns:\n SelectorKey instance\n\n Raises:\n Anything that unregister() or register() raises\n \"\"\"\n self.unregister(fileobj)\n return self.register(fileobj, events, data)\n\n @abstractmethod\n def select(self, timeout=None):\n \"\"\"Perform the actual selection, until some monitored file objects are\n ready or a timeout expires.\n\n Parameters:\n timeout -- if timeout > 0, this specifies the maximum wait time, in\n seconds\n if timeout <= 0, the select() call won't block, and will\n report the currently ready file objects\n if timeout is None, select() will block until a monitored\n file object becomes ready\n\n Returns:\n list of (key, events) for ready file objects\n `events` is a bitwise mask of EVENT_READ|EVENT_WRITE\n \"\"\"\n raise NotImplementedError\n\n def close(self):\n \"\"\"Close the selector.\n\n This must be called to make sure that any underlying resource is freed.\n \"\"\"\n pass\n\n def get_key(self, fileobj):\n \"\"\"Return the key associated to a registered file object.\n\n Returns:\n SelectorKey for this file object\n \"\"\"\n mapping = self.get_map()\n if mapping is None:\n raise RuntimeError('Selector is closed')\n try:\n return mapping[fileobj]\n except KeyError:\n raise KeyError(\"{!r} is not registered\".format(fileobj)) from None\n\n @abstractmethod\n def get_map(self):\n \"\"\"Return a mapping of file objects to selector keys.\"\"\"\n raise NotImplementedError\n\n def __enter__(self):\n return self\n\n def __exit__(self, *args):\n self.close()\n\n\nclass _BaseSelectorImpl(BaseSelector):\n \"\"\"Base selector implementation.\"\"\"\n\n def __init__(self):\n # this maps file descriptors to keys\n self._fd_to_key = {}\n # read-only mapping returned by get_map()\n self._map = _SelectorMapping(self)\n\n def _fileobj_lookup(self, fileobj):\n \"\"\"Return a file descriptor from a file object.\n\n This wraps _fileobj_to_fd() to do an exhaustive search in case\n the object is invalid but we still have it in our map. This\n is used by unregister() so we can unregister an object that\n was previously registered even if it is closed. It is also\n used by _SelectorMapping.\n \"\"\"\n try:\n return _fileobj_to_fd(fileobj)\n except ValueError:\n # Do an exhaustive search.\n for key in self._fd_to_key.values():\n if key.fileobj is fileobj:\n return key.fd\n # Raise ValueError after all.\n raise\n\n def register(self, fileobj, events, data=None):\n if (not events) or (events & ~(EVENT_READ | EVENT_WRITE)):\n raise ValueError(\"Invalid events: {!r}\".format(events))\n\n key = SelectorKey(fileobj, self._fileobj_lookup(fileobj), events, data)\n\n if key.fd in self._fd_to_key:\n raise KeyError(\"{!r} (FD {}) is already registered\"\n .format(fileobj, key.fd))\n\n self._fd_to_key[key.fd] = key\n return key\n\n def unregister(self, fileobj):\n try:\n key = self._fd_to_key.pop(self._fileobj_lookup(fileobj))\n except KeyError:\n raise KeyError(\"{!r} is not registered\".format(fileobj)) from None\n return key\n\n def modify(self, fileobj, events, data=None):\n try:\n key = self._fd_to_key[self._fileobj_lookup(fileobj)]\n except KeyError:\n raise KeyError(\"{!r} is not registered\".format(fileobj)) from None\n if events != key.events:\n self.unregister(fileobj)\n key = self.register(fileobj, events, data)\n elif data != key.data:\n # Use a shortcut to update the data.\n key = key._replace(data=data)\n self._fd_to_key[key.fd] = key\n return key\n\n def close(self):\n self._fd_to_key.clear()\n self._map = None\n\n def get_map(self):\n return self._map\n\n def _key_from_fd(self, fd):\n \"\"\"Return the key associated to a given file descriptor.\n\n Parameters:\n fd -- file descriptor\n\n Returns:\n corresponding key, or None if not found\n \"\"\"\n try:\n return self._fd_to_key[fd]\n except KeyError:\n return None\n\n\nclass SelectSelector(_BaseSelectorImpl):\n \"\"\"Select-based selector.\"\"\"\n\n def __init__(self):\n super().__init__()\n self._readers = set()\n self._writers = set()\n\n def register(self, fileobj, events, data=None):\n key = super().register(fileobj, events, data)\n if events & EVENT_READ:\n self._readers.add(key.fd)\n if events & EVENT_WRITE:\n self._writers.add(key.fd)\n return key\n\n def unregister(self, fileobj):\n key = super().unregister(fileobj)\n self._readers.discard(key.fd)\n self._writers.discard(key.fd)\n return key\n\n if sys.platform == 'win32':\n def _select(self, r, w, _, timeout=None):\n r, w, x = select.select(r, w, w, timeout)\n return r, w + x, []\n else:\n _select = select.select\n\n def select(self, timeout=None):\n timeout = None if timeout is None else max(timeout, 0)\n ready = []\n try:\n r, w, _ = self._select(self._readers, self._writers, [], timeout)\n except InterruptedError:\n return ready\n r = set(r)\n w = set(w)\n for fd in r | w:\n events = 0\n if fd in r:\n events |= EVENT_READ\n if fd in w:\n events |= EVENT_WRITE\n\n key = self._key_from_fd(fd)\n if key:\n ready.append((key, events & key.events))\n return ready\n\n\nclass _PollLikeSelector(_BaseSelectorImpl):\n \"\"\"Base class shared between poll, epoll and devpoll selectors.\"\"\"\n _selector_cls = None\n _EVENT_READ = None\n _EVENT_WRITE = None\n\n def __init__(self):\n super().__init__()\n self._selector = self._selector_cls()\n\n def register(self, fileobj, events, data=None):\n key = super().register(fileobj, events, data)\n poller_events = 0\n if events & EVENT_READ:\n poller_events |= self._EVENT_READ\n if events & EVENT_WRITE:\n poller_events |= self._EVENT_WRITE\n try:\n self._selector.register(key.fd, poller_events)\n except:\n super().unregister(fileobj)\n raise\n return key\n\n def unregister(self, fileobj):\n key = super().unregister(fileobj)\n try:\n self._selector.unregister(key.fd)\n except OSError:\n # This can happen if the FD was closed since it\n # was registered.\n pass\n return key\n\n def modify(self, fileobj, events, data=None):\n try:\n key = self._fd_to_key[self._fileobj_lookup(fileobj)]\n except KeyError:\n raise KeyError(f\"{fileobj!r} is not registered\") from None\n\n changed = False\n if events != key.events:\n selector_events = 0\n if events & EVENT_READ:\n selector_events |= self._EVENT_READ\n if events & EVENT_WRITE:\n selector_events |= self._EVENT_WRITE\n try:\n self._selector.modify(key.fd, selector_events)\n except:\n super().unregister(fileobj)\n raise\n changed = True\n if data != key.data:\n changed = True\n\n if changed:\n key = key._replace(events=events, data=data)\n self._fd_to_key[key.fd] = key\n return key\n\n def select(self, timeout=None):\n # This is shared between poll() and epoll().\n # epoll() has a different signature and handling of timeout parameter.\n if timeout is None:\n timeout = None\n elif timeout <= 0:\n timeout = 0\n else:\n # poll() has a resolution of 1 millisecond, round away from\n # zero to wait *at least* timeout seconds.\n timeout = math.ceil(timeout * 1e3)\n ready = []\n try:\n fd_event_list = self._selector.poll(timeout)\n except InterruptedError:\n return ready\n for fd, event in fd_event_list:\n events = 0\n if event & ~self._EVENT_READ:\n events |= EVENT_WRITE\n if event & ~self._EVENT_WRITE:\n events |= EVENT_READ\n\n key = self._key_from_fd(fd)\n if key:\n ready.append((key, events & key.events))\n return ready\n\n\nif hasattr(select, 'poll'):\n\n class PollSelector(_PollLikeSelector):\n \"\"\"Poll-based selector.\"\"\"\n _selector_cls = select.poll\n _EVENT_READ = select.POLLIN\n _EVENT_WRITE = select.POLLOUT\n\n\nif hasattr(select, 'epoll'):\n\n class EpollSelector(_PollLikeSelector):\n \"\"\"Epoll-based selector.\"\"\"\n _selector_cls = select.epoll\n _EVENT_READ = select.EPOLLIN\n _EVENT_WRITE = select.EPOLLOUT\n\n def fileno(self):\n return self._selector.fileno()\n\n def select(self, timeout=None):\n if timeout is None:\n timeout = -1\n elif timeout <= 0:\n timeout = 0\n else:\n # epoll_wait() has a resolution of 1 millisecond, round away\n # from zero to wait *at least* timeout seconds.\n timeout = math.ceil(timeout * 1e3) * 1e-3\n\n # epoll_wait() expects `maxevents` to be greater than zero;\n # we want to make sure that `select()` can be called when no\n # FD is registered.\n max_ev = max(len(self._fd_to_key), 1)\n\n ready = []\n try:\n fd_event_list = self._selector.poll(timeout, max_ev)\n except InterruptedError:\n return ready\n for fd, event in fd_event_list:\n events = 0\n if event & ~select.EPOLLIN:\n events |= EVENT_WRITE\n if event & ~select.EPOLLOUT:\n events |= EVENT_READ\n\n key = self._key_from_fd(fd)\n if key:\n ready.append((key, events & key.events))\n return ready\n\n def close(self):\n self._selector.close()\n super().close()\n\n\nif hasattr(select, 'devpoll'):\n\n class DevpollSelector(_PollLikeSelector):\n \"\"\"Solaris /dev/poll selector.\"\"\"\n _selector_cls = select.devpoll\n _EVENT_READ = select.POLLIN\n _EVENT_WRITE = select.POLLOUT\n\n def fileno(self):\n return self._selector.fileno()\n\n def close(self):\n self._selector.close()\n super().close()\n\n\nif hasattr(select, 'kqueue'):\n\n class KqueueSelector(_BaseSelectorImpl):\n \"\"\"Kqueue-based selector.\"\"\"\n\n def __init__(self):\n super().__init__()\n self._selector = select.kqueue()\n self._max_events = 0\n\n def fileno(self):\n return self._selector.fileno()\n\n def register(self, fileobj, events, data=None):\n key = super().register(fileobj, events, data)\n try:\n if events & EVENT_READ:\n kev = select.kevent(key.fd, select.KQ_FILTER_READ,\n select.KQ_EV_ADD)\n self._selector.control([kev], 0, 0)\n self._max_events += 1\n if events & EVENT_WRITE:\n kev = select.kevent(key.fd, select.KQ_FILTER_WRITE,\n select.KQ_EV_ADD)\n self._selector.control([kev], 0, 0)\n self._max_events += 1\n except:\n super().unregister(fileobj)\n raise\n return key\n\n def unregister(self, fileobj):\n key = super().unregister(fileobj)\n if key.events & EVENT_READ:\n kev = select.kevent(key.fd, select.KQ_FILTER_READ,\n select.KQ_EV_DELETE)\n self._max_events -= 1\n try:\n self._selector.control([kev], 0, 0)\n except OSError:\n # This can happen if the FD was closed since it\n # was registered.\n pass\n if key.events & EVENT_WRITE:\n kev = select.kevent(key.fd, select.KQ_FILTER_WRITE,\n select.KQ_EV_DELETE)\n self._max_events -= 1\n try:\n self._selector.control([kev], 0, 0)\n except OSError:\n # See comment above.\n pass\n return key\n\n def select(self, timeout=None):\n timeout = None if timeout is None else max(timeout, 0)\n # If max_ev is 0, kqueue will ignore the timeout. For consistent\n # behavior with the other selector classes, we prevent that here\n # (using max). See https://bugs.python.org/issue29255\n max_ev = self._max_events or 1\n ready = []\n try:\n kev_list = self._selector.control(None, max_ev, timeout)\n except InterruptedError:\n return ready\n for kev in kev_list:\n fd = kev.ident\n flag = kev.filter\n events = 0\n if flag == select.KQ_FILTER_READ:\n events |= EVENT_READ\n if flag == select.KQ_FILTER_WRITE:\n events |= EVENT_WRITE\n\n key = self._key_from_fd(fd)\n if key:\n ready.append((key, events & key.events))\n return ready\n\n def close(self):\n self._selector.close()\n super().close()\n\n\ndef _can_use(method):\n \"\"\"Check if we can use the selector depending upon the\n operating system. \"\"\"\n # Implementation based upon https://github.com/sethmlarson/selectors2/blob/master/selectors2.py\n selector = getattr(select, method, None)\n if selector is None:\n # select module does not implement method\n return False\n # check if the OS and Kernel actually support the method. Call may fail with\n # OSError: [Errno 38] Function not implemented\n try:\n selector_obj = selector()\n if method == 'poll':\n # check that poll actually works\n selector_obj.poll(0)\n else:\n # close epoll, kqueue, and devpoll fd\n selector_obj.close()\n return True\n except OSError:\n return False\n\n\n# Choose the best implementation, roughly:\n# epoll|kqueue|devpoll > poll > select.\n# select() also can't accept a FD > FD_SETSIZE (usually around 1024)\nif _can_use('kqueue'):\n DefaultSelector = KqueueSelector\nelif _can_use('epoll'):\n DefaultSelector = EpollSelector\nelif _can_use('devpoll'):\n DefaultSelector = DevpollSelector\nelif _can_use('poll'):\n DefaultSelector = PollSelector\nelse:\n DefaultSelector = SelectSelector\n", 623], "/usr/lib/python3.12/logging/__init__.py": ["# Copyright 2001-2022 by Vinay Sajip. All Rights Reserved.\n#\n# Permission to use, copy, modify, and distribute this software and its\n# documentation for any purpose and without fee is hereby granted,\n# provided that the above copyright notice appear in all copies and that\n# both that copyright notice and this permission notice appear in\n# supporting documentation, and that the name of Vinay Sajip\n# not be used in advertising or publicity pertaining to distribution\n# of the software without specific, written prior permission.\n# VINAY SAJIP DISCLAIMS ALL WARRANTIES WITH REGARD TO THIS SOFTWARE, INCLUDING\n# ALL IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS. IN NO EVENT SHALL\n# VINAY SAJIP BE LIABLE FOR ANY SPECIAL, INDIRECT OR CONSEQUENTIAL DAMAGES OR\n# ANY DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, WHETHER\n# IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT\n# OF OR IN CONNECTION WITH THE USE OR PERFORMANCE OF THIS SOFTWARE.\n\n\"\"\"\nLogging package for Python. Based on PEP 282 and comments thereto in\ncomp.lang.python.\n\nCopyright (C) 2001-2022 Vinay Sajip. All Rights Reserved.\n\nTo use, simply 'import logging' and log away!\n\"\"\"\n\nimport sys, os, time, io, re, traceback, warnings, weakref, collections.abc\n\nfrom types import GenericAlias\nfrom string import Template\nfrom string import Formatter as StrFormatter\n\n\n__all__ = ['BASIC_FORMAT', 'BufferingFormatter', 'CRITICAL', 'DEBUG', 'ERROR',\n 'FATAL', 'FileHandler', 'Filter', 'Formatter', 'Handler', 'INFO',\n 'LogRecord', 'Logger', 'LoggerAdapter', 'NOTSET', 'NullHandler',\n 'StreamHandler', 'WARN', 'WARNING', 'addLevelName', 'basicConfig',\n 'captureWarnings', 'critical', 'debug', 'disable', 'error',\n 'exception', 'fatal', 'getLevelName', 'getLogger', 'getLoggerClass',\n 'info', 'log', 'makeLogRecord', 'setLoggerClass', 'shutdown',\n 'warn', 'warning', 'getLogRecordFactory', 'setLogRecordFactory',\n 'lastResort', 'raiseExceptions', 'getLevelNamesMapping',\n 'getHandlerByName', 'getHandlerNames']\n\nimport threading\n\n__author__ = \"Vinay Sajip \"\n__status__ = \"production\"\n# The following module attributes are no longer updated.\n__version__ = \"0.5.1.2\"\n__date__ = \"07 February 2010\"\n\n#---------------------------------------------------------------------------\n# Miscellaneous module data\n#---------------------------------------------------------------------------\n\n#\n#_startTime is used as the base when calculating the relative time of events\n#\n_startTime = time.time()\n\n#\n#raiseExceptions is used to see if exceptions during handling should be\n#propagated\n#\nraiseExceptions = True\n\n#\n# If you don't want threading information in the log, set this to False\n#\nlogThreads = True\n\n#\n# If you don't want multiprocessing information in the log, set this to False\n#\nlogMultiprocessing = True\n\n#\n# If you don't want process information in the log, set this to False\n#\nlogProcesses = True\n\n#\n# If you don't want asyncio task information in the log, set this to False\n#\nlogAsyncioTasks = True\n\n#---------------------------------------------------------------------------\n# Level related stuff\n#---------------------------------------------------------------------------\n#\n# Default levels and level names, these can be replaced with any positive set\n# of values having corresponding names. There is a pseudo-level, NOTSET, which\n# is only really there as a lower limit for user-defined levels. Handlers and\n# loggers are initialized with NOTSET so that they will log all messages, even\n# at user-defined levels.\n#\n\nCRITICAL = 50\nFATAL = CRITICAL\nERROR = 40\nWARNING = 30\nWARN = WARNING\nINFO = 20\nDEBUG = 10\nNOTSET = 0\n\n_levelToName = {\n CRITICAL: 'CRITICAL',\n ERROR: 'ERROR',\n WARNING: 'WARNING',\n INFO: 'INFO',\n DEBUG: 'DEBUG',\n NOTSET: 'NOTSET',\n}\n_nameToLevel = {\n 'CRITICAL': CRITICAL,\n 'FATAL': FATAL,\n 'ERROR': ERROR,\n 'WARN': WARNING,\n 'WARNING': WARNING,\n 'INFO': INFO,\n 'DEBUG': DEBUG,\n 'NOTSET': NOTSET,\n}\n\ndef getLevelNamesMapping():\n return _nameToLevel.copy()\n\ndef getLevelName(level):\n \"\"\"\n Return the textual or numeric representation of logging level 'level'.\n\n If the level is one of the predefined levels (CRITICAL, ERROR, WARNING,\n INFO, DEBUG) then you get the corresponding string. If you have\n associated levels with names using addLevelName then the name you have\n associated with 'level' is returned.\n\n If a numeric value corresponding to one of the defined levels is passed\n in, the corresponding string representation is returned.\n\n If a string representation of the level is passed in, the corresponding\n numeric value is returned.\n\n If no matching numeric or string value is passed in, the string\n 'Level %s' % level is returned.\n \"\"\"\n # See Issues #22386, #27937 and #29220 for why it's this way\n result = _levelToName.get(level)\n if result is not None:\n return result\n result = _nameToLevel.get(level)\n if result is not None:\n return result\n return \"Level %s\" % level\n\ndef addLevelName(level, levelName):\n \"\"\"\n Associate 'levelName' with 'level'.\n\n This is used when converting levels to text during message formatting.\n \"\"\"\n _acquireLock()\n try: #unlikely to cause an exception, but you never know...\n _levelToName[level] = levelName\n _nameToLevel[levelName] = level\n finally:\n _releaseLock()\n\nif hasattr(sys, \"_getframe\"):\n currentframe = lambda: sys._getframe(1)\nelse: #pragma: no cover\n def currentframe():\n \"\"\"Return the frame object for the caller's stack frame.\"\"\"\n try:\n raise Exception\n except Exception as exc:\n return exc.__traceback__.tb_frame.f_back\n\n#\n# _srcfile is used when walking the stack to check when we've got the first\n# caller stack frame, by skipping frames whose filename is that of this\n# module's source. It therefore should contain the filename of this module's\n# source file.\n#\n# Ordinarily we would use __file__ for this, but frozen modules don't always\n# have __file__ set, for some reason (see Issue #21736). Thus, we get the\n# filename from a handy code object from a function defined in this module.\n# (There's no particular reason for picking addLevelName.)\n#\n\n_srcfile = os.path.normcase(addLevelName.__code__.co_filename)\n\n# _srcfile is only used in conjunction with sys._getframe().\n# Setting _srcfile to None will prevent findCaller() from being called. This\n# way, you can avoid the overhead of fetching caller information.\n\n# The following is based on warnings._is_internal_frame. It makes sure that\n# frames of the import mechanism are skipped when logging at module level and\n# using a stacklevel value greater than one.\ndef _is_internal_frame(frame):\n \"\"\"Signal whether the frame is a CPython or logging module internal.\"\"\"\n filename = os.path.normcase(frame.f_code.co_filename)\n return filename == _srcfile or (\n \"importlib\" in filename and \"_bootstrap\" in filename\n )\n\n\ndef _checkLevel(level):\n if isinstance(level, int):\n rv = level\n elif str(level) == level:\n if level not in _nameToLevel:\n raise ValueError(\"Unknown level: %r\" % level)\n rv = _nameToLevel[level]\n else:\n raise TypeError(\"Level not an integer or a valid string: %r\"\n % (level,))\n return rv\n\n#---------------------------------------------------------------------------\n# Thread-related stuff\n#---------------------------------------------------------------------------\n\n#\n#_lock is used to serialize access to shared data structures in this module.\n#This needs to be an RLock because fileConfig() creates and configures\n#Handlers, and so might arbitrary user threads. Since Handler code updates the\n#shared dictionary _handlers, it needs to acquire the lock. But if configuring,\n#the lock would already have been acquired - so we need an RLock.\n#The same argument applies to Loggers and Manager.loggerDict.\n#\n_lock = threading.RLock()\n\ndef _acquireLock():\n \"\"\"\n Acquire the module-level lock for serializing access to shared data.\n\n This should be released with _releaseLock().\n \"\"\"\n if _lock:\n _lock.acquire()\n\ndef _releaseLock():\n \"\"\"\n Release the module-level lock acquired by calling _acquireLock().\n \"\"\"\n if _lock:\n _lock.release()\n\n\n# Prevent a held logging lock from blocking a child from logging.\n\nif not hasattr(os, 'register_at_fork'): # Windows and friends.\n def _register_at_fork_reinit_lock(instance):\n pass # no-op when os.register_at_fork does not exist.\nelse:\n # A collection of instances with a _at_fork_reinit method (logging.Handler)\n # to be called in the child after forking. The weakref avoids us keeping\n # discarded Handler instances alive.\n _at_fork_reinit_lock_weakset = weakref.WeakSet()\n\n def _register_at_fork_reinit_lock(instance):\n _acquireLock()\n try:\n _at_fork_reinit_lock_weakset.add(instance)\n finally:\n _releaseLock()\n\n def _after_at_fork_child_reinit_locks():\n for handler in _at_fork_reinit_lock_weakset:\n handler._at_fork_reinit()\n\n # _acquireLock() was called in the parent before forking.\n # The lock is reinitialized to unlocked state.\n _lock._at_fork_reinit()\n\n os.register_at_fork(before=_acquireLock,\n after_in_child=_after_at_fork_child_reinit_locks,\n after_in_parent=_releaseLock)\n\n\n#---------------------------------------------------------------------------\n# The logging record\n#---------------------------------------------------------------------------\n\nclass LogRecord(object):\n \"\"\"\n A LogRecord instance represents an event being logged.\n\n LogRecord instances are created every time something is logged. They\n contain all the information pertinent to the event being logged. The\n main information passed in is in msg and args, which are combined\n using str(msg) % args to create the message field of the record. The\n record also includes information such as when the record was created,\n the source line where the logging call was made, and any exception\n information to be logged.\n \"\"\"\n def __init__(self, name, level, pathname, lineno,\n msg, args, exc_info, func=None, sinfo=None, **kwargs):\n \"\"\"\n Initialize a logging record with interesting information.\n \"\"\"\n ct = time.time()\n self.name = name\n self.msg = msg\n #\n # The following statement allows passing of a dictionary as a sole\n # argument, so that you can do something like\n # logging.debug(\"a %(a)d b %(b)s\", {'a':1, 'b':2})\n # Suggested by Stefan Behnel.\n # Note that without the test for args[0], we get a problem because\n # during formatting, we test to see if the arg is present using\n # 'if self.args:'. If the event being logged is e.g. 'Value is %d'\n # and if the passed arg fails 'if self.args:' then no formatting\n # is done. For example, logger.warning('Value is %d', 0) would log\n # 'Value is %d' instead of 'Value is 0'.\n # For the use case of passing a dictionary, this should not be a\n # problem.\n # Issue #21172: a request was made to relax the isinstance check\n # to hasattr(args[0], '__getitem__'). However, the docs on string\n # formatting still seem to suggest a mapping object is required.\n # Thus, while not removing the isinstance check, it does now look\n # for collections.abc.Mapping rather than, as before, dict.\n if (args and len(args) == 1 and isinstance(args[0], collections.abc.Mapping)\n and args[0]):\n args = args[0]\n self.args = args\n self.levelname = getLevelName(level)\n self.levelno = level\n self.pathname = pathname\n try:\n self.filename = os.path.basename(pathname)\n self.module = os.path.splitext(self.filename)[0]\n except (TypeError, ValueError, AttributeError):\n self.filename = pathname\n self.module = \"Unknown module\"\n self.exc_info = exc_info\n self.exc_text = None # used to cache the traceback text\n self.stack_info = sinfo\n self.lineno = lineno\n self.funcName = func\n self.created = ct\n self.msecs = int((ct - int(ct)) * 1000) + 0.0 # see gh-89047\n self.relativeCreated = (self.created - _startTime) * 1000\n if logThreads:\n self.thread = threading.get_ident()\n self.threadName = threading.current_thread().name\n else: # pragma: no cover\n self.thread = None\n self.threadName = None\n if not logMultiprocessing: # pragma: no cover\n self.processName = None\n else:\n self.processName = 'MainProcess'\n mp = sys.modules.get('multiprocessing')\n if mp is not None:\n # Errors may occur if multiprocessing has not finished loading\n # yet - e.g. if a custom import hook causes third-party code\n # to run when multiprocessing calls import. See issue 8200\n # for an example\n try:\n self.processName = mp.current_process().name\n except Exception: #pragma: no cover\n pass\n if logProcesses and hasattr(os, 'getpid'):\n self.process = os.getpid()\n else:\n self.process = None\n\n self.taskName = None\n if logAsyncioTasks:\n asyncio = sys.modules.get('asyncio')\n if asyncio:\n try:\n self.taskName = asyncio.current_task().get_name()\n except Exception:\n pass\n\n def __repr__(self):\n return ''%(self.name, self.levelno,\n self.pathname, self.lineno, self.msg)\n\n def getMessage(self):\n \"\"\"\n Return the message for this LogRecord.\n\n Return the message for this LogRecord after merging any user-supplied\n arguments with the message.\n \"\"\"\n msg = str(self.msg)\n if self.args:\n msg = msg % self.args\n return msg\n\n#\n# Determine which class to use when instantiating log records.\n#\n_logRecordFactory = LogRecord\n\ndef setLogRecordFactory(factory):\n \"\"\"\n Set the factory to be used when instantiating a log record.\n\n :param factory: A callable which will be called to instantiate\n a log record.\n \"\"\"\n global _logRecordFactory\n _logRecordFactory = factory\n\ndef getLogRecordFactory():\n \"\"\"\n Return the factory to be used when instantiating a log record.\n \"\"\"\n\n return _logRecordFactory\n\ndef makeLogRecord(dict):\n \"\"\"\n Make a LogRecord whose attributes are defined by the specified dictionary,\n This function is useful for converting a logging event received over\n a socket connection (which is sent as a dictionary) into a LogRecord\n instance.\n \"\"\"\n rv = _logRecordFactory(None, None, \"\", 0, \"\", (), None, None)\n rv.__dict__.update(dict)\n return rv\n\n\n#---------------------------------------------------------------------------\n# Formatter classes and functions\n#---------------------------------------------------------------------------\n_str_formatter = StrFormatter()\ndel StrFormatter\n\n\nclass PercentStyle(object):\n\n default_format = '%(message)s'\n asctime_format = '%(asctime)s'\n asctime_search = '%(asctime)'\n validation_pattern = re.compile(r'%\\(\\w+\\)[#0+ -]*(\\*|\\d+)?(\\.(\\*|\\d+))?[diouxefgcrsa%]', re.I)\n\n def __init__(self, fmt, *, defaults=None):\n self._fmt = fmt or self.default_format\n self._defaults = defaults\n\n def usesTime(self):\n return self._fmt.find(self.asctime_search) >= 0\n\n def validate(self):\n \"\"\"Validate the input format, ensure it matches the correct style\"\"\"\n if not self.validation_pattern.search(self._fmt):\n raise ValueError(\"Invalid format '%s' for '%s' style\" % (self._fmt, self.default_format[0]))\n\n def _format(self, record):\n if defaults := self._defaults:\n values = defaults | record.__dict__\n else:\n values = record.__dict__\n return self._fmt % values\n\n def format(self, record):\n try:\n return self._format(record)\n except KeyError as e:\n raise ValueError('Formatting field not found in record: %s' % e)\n\n\nclass StrFormatStyle(PercentStyle):\n default_format = '{message}'\n asctime_format = '{asctime}'\n asctime_search = '{asctime'\n\n fmt_spec = re.compile(r'^(.?[<>=^])?[+ -]?#?0?(\\d+|{\\w+})?[,_]?(\\.(\\d+|{\\w+}))?[bcdefgnosx%]?$', re.I)\n field_spec = re.compile(r'^(\\d+|\\w+)(\\.\\w+|\\[[^]]+\\])*$')\n\n def _format(self, record):\n if defaults := self._defaults:\n values = defaults | record.__dict__\n else:\n values = record.__dict__\n return self._fmt.format(**values)\n\n def validate(self):\n \"\"\"Validate the input format, ensure it is the correct string formatting style\"\"\"\n fields = set()\n try:\n for _, fieldname, spec, conversion in _str_formatter.parse(self._fmt):\n if fieldname:\n if not self.field_spec.match(fieldname):\n raise ValueError('invalid field name/expression: %r' % fieldname)\n fields.add(fieldname)\n if conversion and conversion not in 'rsa':\n raise ValueError('invalid conversion: %r' % conversion)\n if spec and not self.fmt_spec.match(spec):\n raise ValueError('bad specifier: %r' % spec)\n except ValueError as e:\n raise ValueError('invalid format: %s' % e)\n if not fields:\n raise ValueError('invalid format: no fields')\n\n\nclass StringTemplateStyle(PercentStyle):\n default_format = '${message}'\n asctime_format = '${asctime}'\n asctime_search = '${asctime}'\n\n def __init__(self, *args, **kwargs):\n super().__init__(*args, **kwargs)\n self._tpl = Template(self._fmt)\n\n def usesTime(self):\n fmt = self._fmt\n return fmt.find('$asctime') >= 0 or fmt.find(self.asctime_search) >= 0\n\n def validate(self):\n pattern = Template.pattern\n fields = set()\n for m in pattern.finditer(self._fmt):\n d = m.groupdict()\n if d['named']:\n fields.add(d['named'])\n elif d['braced']:\n fields.add(d['braced'])\n elif m.group(0) == '$':\n raise ValueError('invalid format: bare \\'$\\' not allowed')\n if not fields:\n raise ValueError('invalid format: no fields')\n\n def _format(self, record):\n if defaults := self._defaults:\n values = defaults | record.__dict__\n else:\n values = record.__dict__\n return self._tpl.substitute(**values)\n\n\nBASIC_FORMAT = \"%(levelname)s:%(name)s:%(message)s\"\n\n_STYLES = {\n '%': (PercentStyle, BASIC_FORMAT),\n '{': (StrFormatStyle, '{levelname}:{name}:{message}'),\n '$': (StringTemplateStyle, '${levelname}:${name}:${message}'),\n}\n\nclass Formatter(object):\n \"\"\"\n Formatter instances are used to convert a LogRecord to text.\n\n Formatters need to know how a LogRecord is constructed. They are\n responsible for converting a LogRecord to (usually) a string which can\n be interpreted by either a human or an external system. The base Formatter\n allows a formatting string to be specified. If none is supplied, the\n style-dependent default value, \"%(message)s\", \"{message}\", or\n \"${message}\", is used.\n\n The Formatter can be initialized with a format string which makes use of\n knowledge of the LogRecord attributes - e.g. the default value mentioned\n above makes use of the fact that the user's message and arguments are pre-\n formatted into a LogRecord's message attribute. Currently, the useful\n attributes in a LogRecord are described by:\n\n %(name)s Name of the logger (logging channel)\n %(levelno)s Numeric logging level for the message (DEBUG, INFO,\n WARNING, ERROR, CRITICAL)\n %(levelname)s Text logging level for the message (\"DEBUG\", \"INFO\",\n \"WARNING\", \"ERROR\", \"CRITICAL\")\n %(pathname)s Full pathname of the source file where the logging\n call was issued (if available)\n %(filename)s Filename portion of pathname\n %(module)s Module (name portion of filename)\n %(lineno)d Source line number where the logging call was issued\n (if available)\n %(funcName)s Function name\n %(created)f Time when the LogRecord was created (time.time()\n return value)\n %(asctime)s Textual time when the LogRecord was created\n %(msecs)d Millisecond portion of the creation time\n %(relativeCreated)d Time in milliseconds when the LogRecord was created,\n relative to the time the logging module was loaded\n (typically at application startup time)\n %(thread)d Thread ID (if available)\n %(threadName)s Thread name (if available)\n %(taskName)s Task name (if available)\n %(process)d Process ID (if available)\n %(message)s The result of record.getMessage(), computed just as\n the record is emitted\n \"\"\"\n\n converter = time.localtime\n\n def __init__(self, fmt=None, datefmt=None, style='%', validate=True, *,\n defaults=None):\n \"\"\"\n Initialize the formatter with specified format strings.\n\n Initialize the formatter either with the specified format string, or a\n default as described above. Allow for specialized date formatting with\n the optional datefmt argument. If datefmt is omitted, you get an\n ISO8601-like (or RFC 3339-like) format.\n\n Use a style parameter of '%', '{' or '$' to specify that you want to\n use one of %-formatting, :meth:`str.format` (``{}``) formatting or\n :class:`string.Template` formatting in your format string.\n\n .. versionchanged:: 3.2\n Added the ``style`` parameter.\n \"\"\"\n if style not in _STYLES:\n raise ValueError('Style must be one of: %s' % ','.join(\n _STYLES.keys()))\n self._style = _STYLES[style][0](fmt, defaults=defaults)\n if validate:\n self._style.validate()\n\n self._fmt = self._style._fmt\n self.datefmt = datefmt\n\n default_time_format = '%Y-%m-%d %H:%M:%S'\n default_msec_format = '%s,%03d'\n\n def formatTime(self, record, datefmt=None):\n \"\"\"\n Return the creation time of the specified LogRecord as formatted text.\n\n This method should be called from format() by a formatter which\n wants to make use of a formatted time. This method can be overridden\n in formatters to provide for any specific requirement, but the\n basic behaviour is as follows: if datefmt (a string) is specified,\n it is used with time.strftime() to format the creation time of the\n record. Otherwise, an ISO8601-like (or RFC 3339-like) format is used.\n The resulting string is returned. This function uses a user-configurable\n function to convert the creation time to a tuple. By default,\n time.localtime() is used; to change this for a particular formatter\n instance, set the 'converter' attribute to a function with the same\n signature as time.localtime() or time.gmtime(). To change it for all\n formatters, for example if you want all logging times to be shown in GMT,\n set the 'converter' attribute in the Formatter class.\n \"\"\"\n ct = self.converter(record.created)\n if datefmt:\n s = time.strftime(datefmt, ct)\n else:\n s = time.strftime(self.default_time_format, ct)\n if self.default_msec_format:\n s = self.default_msec_format % (s, record.msecs)\n return s\n\n def formatException(self, ei):\n \"\"\"\n Format and return the specified exception information as a string.\n\n This default implementation just uses\n traceback.print_exception()\n \"\"\"\n sio = io.StringIO()\n tb = ei[2]\n # See issues #9427, #1553375. Commented out for now.\n #if getattr(self, 'fullstack', False):\n # traceback.print_stack(tb.tb_frame.f_back, file=sio)\n traceback.print_exception(ei[0], ei[1], tb, None, sio)\n s = sio.getvalue()\n sio.close()\n if s[-1:] == \"\\n\":\n s = s[:-1]\n return s\n\n def usesTime(self):\n \"\"\"\n Check if the format uses the creation time of the record.\n \"\"\"\n return self._style.usesTime()\n\n def formatMessage(self, record):\n return self._style.format(record)\n\n def formatStack(self, stack_info):\n \"\"\"\n This method is provided as an extension point for specialized\n formatting of stack information.\n\n The input data is a string as returned from a call to\n :func:`traceback.print_stack`, but with the last trailing newline\n removed.\n\n The base implementation just returns the value passed in.\n \"\"\"\n return stack_info\n\n def format(self, record):\n \"\"\"\n Format the specified record as text.\n\n The record's attribute dictionary is used as the operand to a\n string formatting operation which yields the returned string.\n Before formatting the dictionary, a couple of preparatory steps\n are carried out. The message attribute of the record is computed\n using LogRecord.getMessage(). If the formatting string uses the\n time (as determined by a call to usesTime(), formatTime() is\n called to format the event time. If there is exception information,\n it is formatted using formatException() and appended to the message.\n \"\"\"\n record.message = record.getMessage()\n if self.usesTime():\n record.asctime = self.formatTime(record, self.datefmt)\n s = self.formatMessage(record)\n if record.exc_info:\n # Cache the traceback text to avoid converting it multiple times\n # (it's constant anyway)\n if not record.exc_text:\n record.exc_text = self.formatException(record.exc_info)\n if record.exc_text:\n if s[-1:] != \"\\n\":\n s = s + \"\\n\"\n s = s + record.exc_text\n if record.stack_info:\n if s[-1:] != \"\\n\":\n s = s + \"\\n\"\n s = s + self.formatStack(record.stack_info)\n return s\n\n#\n# The default formatter to use when no other is specified\n#\n_defaultFormatter = Formatter()\n\nclass BufferingFormatter(object):\n \"\"\"\n A formatter suitable for formatting a number of records.\n \"\"\"\n def __init__(self, linefmt=None):\n \"\"\"\n Optionally specify a formatter which will be used to format each\n individual record.\n \"\"\"\n if linefmt:\n self.linefmt = linefmt\n else:\n self.linefmt = _defaultFormatter\n\n def formatHeader(self, records):\n \"\"\"\n Return the header string for the specified records.\n \"\"\"\n return \"\"\n\n def formatFooter(self, records):\n \"\"\"\n Return the footer string for the specified records.\n \"\"\"\n return \"\"\n\n def format(self, records):\n \"\"\"\n Format the specified records and return the result as a string.\n \"\"\"\n rv = \"\"\n if len(records) > 0:\n rv = rv + self.formatHeader(records)\n for record in records:\n rv = rv + self.linefmt.format(record)\n rv = rv + self.formatFooter(records)\n return rv\n\n#---------------------------------------------------------------------------\n# Filter classes and functions\n#---------------------------------------------------------------------------\n\nclass Filter(object):\n \"\"\"\n Filter instances are used to perform arbitrary filtering of LogRecords.\n\n Loggers and Handlers can optionally use Filter instances to filter\n records as desired. The base filter class only allows events which are\n below a certain point in the logger hierarchy. For example, a filter\n initialized with \"A.B\" will allow events logged by loggers \"A.B\",\n \"A.B.C\", \"A.B.C.D\", \"A.B.D\" etc. but not \"A.BB\", \"B.A.B\" etc. If\n initialized with the empty string, all events are passed.\n \"\"\"\n def __init__(self, name=''):\n \"\"\"\n Initialize a filter.\n\n Initialize with the name of the logger which, together with its\n children, will have its events allowed through the filter. If no\n name is specified, allow every event.\n \"\"\"\n self.name = name\n self.nlen = len(name)\n\n def filter(self, record):\n \"\"\"\n Determine if the specified record is to be logged.\n\n Returns True if the record should be logged, or False otherwise.\n If deemed appropriate, the record may be modified in-place.\n \"\"\"\n if self.nlen == 0:\n return True\n elif self.name == record.name:\n return True\n elif record.name.find(self.name, 0, self.nlen) != 0:\n return False\n return (record.name[self.nlen] == \".\")\n\nclass Filterer(object):\n \"\"\"\n A base class for loggers and handlers which allows them to share\n common code.\n \"\"\"\n def __init__(self):\n \"\"\"\n Initialize the list of filters to be an empty list.\n \"\"\"\n self.filters = []\n\n def addFilter(self, filter):\n \"\"\"\n Add the specified filter to this handler.\n \"\"\"\n if not (filter in self.filters):\n self.filters.append(filter)\n\n def removeFilter(self, filter):\n \"\"\"\n Remove the specified filter from this handler.\n \"\"\"\n if filter in self.filters:\n self.filters.remove(filter)\n\n def filter(self, record):\n \"\"\"\n Determine if a record is loggable by consulting all the filters.\n\n The default is to allow the record to be logged; any filter can veto\n this by returning a false value.\n If a filter attached to a handler returns a log record instance,\n then that instance is used in place of the original log record in\n any further processing of the event by that handler.\n If a filter returns any other true value, the original log record\n is used in any further processing of the event by that handler.\n\n If none of the filters return false values, this method returns\n a log record.\n If any of the filters return a false value, this method returns\n a false value.\n\n .. versionchanged:: 3.2\n\n Allow filters to be just callables.\n\n .. versionchanged:: 3.12\n Allow filters to return a LogRecord instead of\n modifying it in place.\n \"\"\"\n for f in self.filters:\n if hasattr(f, 'filter'):\n result = f.filter(record)\n else:\n result = f(record) # assume callable - will raise if not\n if not result:\n return False\n if isinstance(result, LogRecord):\n record = result\n return record\n\n#---------------------------------------------------------------------------\n# Handler classes and functions\n#---------------------------------------------------------------------------\n\n_handlers = weakref.WeakValueDictionary() #map of handler names to handlers\n_handlerList = [] # added to allow handlers to be removed in reverse of order initialized\n\ndef _removeHandlerRef(wr):\n \"\"\"\n Remove a handler reference from the internal cleanup list.\n \"\"\"\n # This function can be called during module teardown, when globals are\n # set to None. It can also be called from another thread. So we need to\n # pre-emptively grab the necessary globals and check if they're None,\n # to prevent race conditions and failures during interpreter shutdown.\n acquire, release, handlers = _acquireLock, _releaseLock, _handlerList\n if acquire and release and handlers:\n acquire()\n try:\n handlers.remove(wr)\n except ValueError:\n pass\n finally:\n release()\n\ndef _addHandlerRef(handler):\n \"\"\"\n Add a handler to the internal cleanup list using a weak reference.\n \"\"\"\n _acquireLock()\n try:\n _handlerList.append(weakref.ref(handler, _removeHandlerRef))\n finally:\n _releaseLock()\n\n\ndef getHandlerByName(name):\n \"\"\"\n Get a handler with the specified *name*, or None if there isn't one with\n that name.\n \"\"\"\n return _handlers.get(name)\n\n\ndef getHandlerNames():\n \"\"\"\n Return all known handler names as an immutable set.\n \"\"\"\n result = set(_handlers.keys())\n return frozenset(result)\n\n\nclass Handler(Filterer):\n \"\"\"\n Handler instances dispatch logging events to specific destinations.\n\n The base handler class. Acts as a placeholder which defines the Handler\n interface. Handlers can optionally use Formatter instances to format\n records as desired. By default, no formatter is specified; in this case,\n the 'raw' message as determined by record.message is logged.\n \"\"\"\n def __init__(self, level=NOTSET):\n \"\"\"\n Initializes the instance - basically setting the formatter to None\n and the filter list to empty.\n \"\"\"\n Filterer.__init__(self)\n self._name = None\n self.level = _checkLevel(level)\n self.formatter = None\n self._closed = False\n # Add the handler to the global _handlerList (for cleanup on shutdown)\n _addHandlerRef(self)\n self.createLock()\n\n def get_name(self):\n return self._name\n\n def set_name(self, name):\n _acquireLock()\n try:\n if self._name in _handlers:\n del _handlers[self._name]\n self._name = name\n if name:\n _handlers[name] = self\n finally:\n _releaseLock()\n\n name = property(get_name, set_name)\n\n def createLock(self):\n \"\"\"\n Acquire a thread lock for serializing access to the underlying I/O.\n \"\"\"\n self.lock = threading.RLock()\n _register_at_fork_reinit_lock(self)\n\n def _at_fork_reinit(self):\n self.lock._at_fork_reinit()\n\n def acquire(self):\n \"\"\"\n Acquire the I/O thread lock.\n \"\"\"\n if self.lock:\n self.lock.acquire()\n\n def release(self):\n \"\"\"\n Release the I/O thread lock.\n \"\"\"\n if self.lock:\n self.lock.release()\n\n def setLevel(self, level):\n \"\"\"\n Set the logging level of this handler. level must be an int or a str.\n \"\"\"\n self.level = _checkLevel(level)\n\n def format(self, record):\n \"\"\"\n Format the specified record.\n\n If a formatter is set, use it. Otherwise, use the default formatter\n for the module.\n \"\"\"\n if self.formatter:\n fmt = self.formatter\n else:\n fmt = _defaultFormatter\n return fmt.format(record)\n\n def emit(self, record):\n \"\"\"\n Do whatever it takes to actually log the specified logging record.\n\n This version is intended to be implemented by subclasses and so\n raises a NotImplementedError.\n \"\"\"\n raise NotImplementedError('emit must be implemented '\n 'by Handler subclasses')\n\n def handle(self, record):\n \"\"\"\n Conditionally emit the specified logging record.\n\n Emission depends on filters which may have been added to the handler.\n Wrap the actual emission of the record with acquisition/release of\n the I/O thread lock.\n\n Returns an instance of the log record that was emitted\n if it passed all filters, otherwise a false value is returned.\n \"\"\"\n rv = self.filter(record)\n if isinstance(rv, LogRecord):\n record = rv\n if rv:\n self.acquire()\n try:\n self.emit(record)\n finally:\n self.release()\n return rv\n\n def setFormatter(self, fmt):\n \"\"\"\n Set the formatter for this handler.\n \"\"\"\n self.formatter = fmt\n\n def flush(self):\n \"\"\"\n Ensure all logging output has been flushed.\n\n This version does nothing and is intended to be implemented by\n subclasses.\n \"\"\"\n pass\n\n def close(self):\n \"\"\"\n Tidy up any resources used by the handler.\n\n This version removes the handler from an internal map of handlers,\n _handlers, which is used for handler lookup by name. Subclasses\n should ensure that this gets called from overridden close()\n methods.\n \"\"\"\n #get the module data lock, as we're updating a shared structure.\n _acquireLock()\n try: #unlikely to raise an exception, but you never know...\n self._closed = True\n if self._name and self._name in _handlers:\n del _handlers[self._name]\n finally:\n _releaseLock()\n\n def handleError(self, record):\n \"\"\"\n Handle errors which occur during an emit() call.\n\n This method should be called from handlers when an exception is\n encountered during an emit() call. If raiseExceptions is false,\n exceptions get silently ignored. This is what is mostly wanted\n for a logging system - most users will not care about errors in\n the logging system, they are more interested in application errors.\n You could, however, replace this with a custom handler if you wish.\n The record which was being processed is passed in to this method.\n \"\"\"\n if raiseExceptions and sys.stderr: # see issue 13807\n t, v, tb = sys.exc_info()\n try:\n sys.stderr.write('--- Logging error ---\\n')\n traceback.print_exception(t, v, tb, None, sys.stderr)\n sys.stderr.write('Call stack:\\n')\n # Walk the stack frame up until we're out of logging,\n # so as to print the calling context.\n frame = tb.tb_frame\n while (frame and os.path.dirname(frame.f_code.co_filename) ==\n __path__[0]):\n frame = frame.f_back\n if frame:\n traceback.print_stack(frame, file=sys.stderr)\n else:\n # couldn't find the right stack frame, for some reason\n sys.stderr.write('Logged from file %s, line %s\\n' % (\n record.filename, record.lineno))\n # Issue 18671: output logging message and arguments\n try:\n sys.stderr.write('Message: %r\\n'\n 'Arguments: %s\\n' % (record.msg,\n record.args))\n except RecursionError: # See issue 36272\n raise\n except Exception:\n sys.stderr.write('Unable to print the message and arguments'\n ' - possible formatting error.\\nUse the'\n ' traceback above to help find the error.\\n'\n )\n except OSError: #pragma: no cover\n pass # see issue 5971\n finally:\n del t, v, tb\n\n def __repr__(self):\n level = getLevelName(self.level)\n return '<%s (%s)>' % (self.__class__.__name__, level)\n\nclass StreamHandler(Handler):\n \"\"\"\n A handler class which writes logging records, appropriately formatted,\n to a stream. Note that this class does not close the stream, as\n sys.stdout or sys.stderr may be used.\n \"\"\"\n\n terminator = '\\n'\n\n def __init__(self, stream=None):\n \"\"\"\n Initialize the handler.\n\n If stream is not specified, sys.stderr is used.\n \"\"\"\n Handler.__init__(self)\n if stream is None:\n stream = sys.stderr\n self.stream = stream\n\n def flush(self):\n \"\"\"\n Flushes the stream.\n \"\"\"\n self.acquire()\n try:\n if self.stream and hasattr(self.stream, \"flush\"):\n self.stream.flush()\n finally:\n self.release()\n\n def emit(self, record):\n \"\"\"\n Emit a record.\n\n If a formatter is specified, it is used to format the record.\n The record is then written to the stream with a trailing newline. If\n exception information is present, it is formatted using\n traceback.print_exception and appended to the stream. If the stream\n has an 'encoding' attribute, it is used to determine how to do the\n output to the stream.\n \"\"\"\n try:\n msg = self.format(record)\n stream = self.stream\n # issue 35046: merged two stream.writes into one.\n stream.write(msg + self.terminator)\n self.flush()\n except RecursionError: # See issue 36272\n raise\n except Exception:\n self.handleError(record)\n\n def setStream(self, stream):\n \"\"\"\n Sets the StreamHandler's stream to the specified value,\n if it is different.\n\n Returns the old stream, if the stream was changed, or None\n if it wasn't.\n \"\"\"\n if stream is self.stream:\n result = None\n else:\n result = self.stream\n self.acquire()\n try:\n self.flush()\n self.stream = stream\n finally:\n self.release()\n return result\n\n def __repr__(self):\n level = getLevelName(self.level)\n name = getattr(self.stream, 'name', '')\n # bpo-36015: name can be an int\n name = str(name)\n if name:\n name += ' '\n return '<%s %s(%s)>' % (self.__class__.__name__, name, level)\n\n __class_getitem__ = classmethod(GenericAlias)\n\n\nclass FileHandler(StreamHandler):\n \"\"\"\n A handler class which writes formatted logging records to disk files.\n \"\"\"\n def __init__(self, filename, mode='a', encoding=None, delay=False, errors=None):\n \"\"\"\n Open the specified file and use it as the stream for logging.\n \"\"\"\n # Issue #27493: add support for Path objects to be passed in\n filename = os.fspath(filename)\n #keep the absolute path, otherwise derived classes which use this\n #may come a cropper when the current directory changes\n self.baseFilename = os.path.abspath(filename)\n self.mode = mode\n self.encoding = encoding\n if \"b\" not in mode:\n self.encoding = io.text_encoding(encoding)\n self.errors = errors\n self.delay = delay\n # bpo-26789: FileHandler keeps a reference to the builtin open()\n # function to be able to open or reopen the file during Python\n # finalization.\n self._builtin_open = open\n if delay:\n #We don't open the stream, but we still need to call the\n #Handler constructor to set level, formatter, lock etc.\n Handler.__init__(self)\n self.stream = None\n else:\n StreamHandler.__init__(self, self._open())\n\n def close(self):\n \"\"\"\n Closes the stream.\n \"\"\"\n self.acquire()\n try:\n try:\n if self.stream:\n try:\n self.flush()\n finally:\n stream = self.stream\n self.stream = None\n if hasattr(stream, \"close\"):\n stream.close()\n finally:\n # Issue #19523: call unconditionally to\n # prevent a handler leak when delay is set\n # Also see Issue #42378: we also rely on\n # self._closed being set to True there\n StreamHandler.close(self)\n finally:\n self.release()\n\n def _open(self):\n \"\"\"\n Open the current base file with the (original) mode and encoding.\n Return the resulting stream.\n \"\"\"\n open_func = self._builtin_open\n return open_func(self.baseFilename, self.mode,\n encoding=self.encoding, errors=self.errors)\n\n def emit(self, record):\n \"\"\"\n Emit a record.\n\n If the stream was not opened because 'delay' was specified in the\n constructor, open it before calling the superclass's emit.\n\n If stream is not open, current mode is 'w' and `_closed=True`, record\n will not be emitted (see Issue #42378).\n \"\"\"\n if self.stream is None:\n if self.mode != 'w' or not self._closed:\n self.stream = self._open()\n if self.stream:\n StreamHandler.emit(self, record)\n\n def __repr__(self):\n level = getLevelName(self.level)\n return '<%s %s (%s)>' % (self.__class__.__name__, self.baseFilename, level)\n\n\nclass _StderrHandler(StreamHandler):\n \"\"\"\n This class is like a StreamHandler using sys.stderr, but always uses\n whatever sys.stderr is currently set to rather than the value of\n sys.stderr at handler construction time.\n \"\"\"\n def __init__(self, level=NOTSET):\n \"\"\"\n Initialize the handler.\n \"\"\"\n Handler.__init__(self, level)\n\n @property\n def stream(self):\n return sys.stderr\n\n\n_defaultLastResort = _StderrHandler(WARNING)\nlastResort = _defaultLastResort\n\n#---------------------------------------------------------------------------\n# Manager classes and functions\n#---------------------------------------------------------------------------\n\nclass PlaceHolder(object):\n \"\"\"\n PlaceHolder instances are used in the Manager logger hierarchy to take\n the place of nodes for which no loggers have been defined. This class is\n intended for internal use only and not as part of the public API.\n \"\"\"\n def __init__(self, alogger):\n \"\"\"\n Initialize with the specified logger being a child of this placeholder.\n \"\"\"\n self.loggerMap = { alogger : None }\n\n def append(self, alogger):\n \"\"\"\n Add the specified logger as a child of this placeholder.\n \"\"\"\n if alogger not in self.loggerMap:\n self.loggerMap[alogger] = None\n\n#\n# Determine which class to use when instantiating loggers.\n#\n\ndef setLoggerClass(klass):\n \"\"\"\n Set the class to be used when instantiating a logger. The class should\n define __init__() such that only a name argument is required, and the\n __init__() should call Logger.__init__()\n \"\"\"\n if klass != Logger:\n if not issubclass(klass, Logger):\n raise TypeError(\"logger not derived from logging.Logger: \"\n + klass.__name__)\n global _loggerClass\n _loggerClass = klass\n\ndef getLoggerClass():\n \"\"\"\n Return the class to be used when instantiating a logger.\n \"\"\"\n return _loggerClass\n\nclass Manager(object):\n \"\"\"\n There is [under normal circumstances] just one Manager instance, which\n holds the hierarchy of loggers.\n \"\"\"\n def __init__(self, rootnode):\n \"\"\"\n Initialize the manager with the root node of the logger hierarchy.\n \"\"\"\n self.root = rootnode\n self.disable = 0\n self.emittedNoHandlerWarning = False\n self.loggerDict = {}\n self.loggerClass = None\n self.logRecordFactory = None\n\n @property\n def disable(self):\n return self._disable\n\n @disable.setter\n def disable(self, value):\n self._disable = _checkLevel(value)\n\n def getLogger(self, name):\n \"\"\"\n Get a logger with the specified name (channel name), creating it\n if it doesn't yet exist. This name is a dot-separated hierarchical\n name, such as \"a\", \"a.b\", \"a.b.c\" or similar.\n\n If a PlaceHolder existed for the specified name [i.e. the logger\n didn't exist but a child of it did], replace it with the created\n logger and fix up the parent/child references which pointed to the\n placeholder to now point to the logger.\n \"\"\"\n rv = None\n if not isinstance(name, str):\n raise TypeError('A logger name must be a string')\n _acquireLock()\n try:\n if name in self.loggerDict:\n rv = self.loggerDict[name]\n if isinstance(rv, PlaceHolder):\n ph = rv\n rv = (self.loggerClass or _loggerClass)(name)\n rv.manager = self\n self.loggerDict[name] = rv\n self._fixupChildren(ph, rv)\n self._fixupParents(rv)\n else:\n rv = (self.loggerClass or _loggerClass)(name)\n rv.manager = self\n self.loggerDict[name] = rv\n self._fixupParents(rv)\n finally:\n _releaseLock()\n return rv\n\n def setLoggerClass(self, klass):\n \"\"\"\n Set the class to be used when instantiating a logger with this Manager.\n \"\"\"\n if klass != Logger:\n if not issubclass(klass, Logger):\n raise TypeError(\"logger not derived from logging.Logger: \"\n + klass.__name__)\n self.loggerClass = klass\n\n def setLogRecordFactory(self, factory):\n \"\"\"\n Set the factory to be used when instantiating a log record with this\n Manager.\n \"\"\"\n self.logRecordFactory = factory\n\n def _fixupParents(self, alogger):\n \"\"\"\n Ensure that there are either loggers or placeholders all the way\n from the specified logger to the root of the logger hierarchy.\n \"\"\"\n name = alogger.name\n i = name.rfind(\".\")\n rv = None\n while (i > 0) and not rv:\n substr = name[:i]\n if substr not in self.loggerDict:\n self.loggerDict[substr] = PlaceHolder(alogger)\n else:\n obj = self.loggerDict[substr]\n if isinstance(obj, Logger):\n rv = obj\n else:\n assert isinstance(obj, PlaceHolder)\n obj.append(alogger)\n i = name.rfind(\".\", 0, i - 1)\n if not rv:\n rv = self.root\n alogger.parent = rv\n\n def _fixupChildren(self, ph, alogger):\n \"\"\"\n Ensure that children of the placeholder ph are connected to the\n specified logger.\n \"\"\"\n name = alogger.name\n namelen = len(name)\n for c in ph.loggerMap.keys():\n #The if means ... if not c.parent.name.startswith(nm)\n if c.parent.name[:namelen] != name:\n alogger.parent = c.parent\n c.parent = alogger\n\n def _clear_cache(self):\n \"\"\"\n Clear the cache for all loggers in loggerDict\n Called when level changes are made\n \"\"\"\n\n _acquireLock()\n for logger in self.loggerDict.values():\n if isinstance(logger, Logger):\n logger._cache.clear()\n self.root._cache.clear()\n _releaseLock()\n\n#---------------------------------------------------------------------------\n# Logger classes and functions\n#---------------------------------------------------------------------------\n\nclass Logger(Filterer):\n \"\"\"\n Instances of the Logger class represent a single logging channel. A\n \"logging channel\" indicates an area of an application. Exactly how an\n \"area\" is defined is up to the application developer. Since an\n application can have any number of areas, logging channels are identified\n by a unique string. Application areas can be nested (e.g. an area\n of \"input processing\" might include sub-areas \"read CSV files\", \"read\n XLS files\" and \"read Gnumeric files\"). To cater for this natural nesting,\n channel names are organized into a namespace hierarchy where levels are\n separated by periods, much like the Java or Python package namespace. So\n in the instance given above, channel names might be \"input\" for the upper\n level, and \"input.csv\", \"input.xls\" and \"input.gnu\" for the sub-levels.\n There is no arbitrary limit to the depth of nesting.\n \"\"\"\n def __init__(self, name, level=NOTSET):\n \"\"\"\n Initialize the logger with a name and an optional level.\n \"\"\"\n Filterer.__init__(self)\n self.name = name\n self.level = _checkLevel(level)\n self.parent = None\n self.propagate = True\n self.handlers = []\n self.disabled = False\n self._cache = {}\n\n def setLevel(self, level):\n \"\"\"\n Set the logging level of this logger. level must be an int or a str.\n \"\"\"\n self.level = _checkLevel(level)\n self.manager._clear_cache()\n\n def debug(self, msg, *args, **kwargs):\n \"\"\"\n Log 'msg % args' with severity 'DEBUG'.\n\n To pass exception information, use the keyword argument exc_info with\n a true value, e.g.\n\n logger.debug(\"Houston, we have a %s\", \"thorny problem\", exc_info=True)\n \"\"\"\n if self.isEnabledFor(DEBUG):\n self._log(DEBUG, msg, args, **kwargs)\n\n def info(self, msg, *args, **kwargs):\n \"\"\"\n Log 'msg % args' with severity 'INFO'.\n\n To pass exception information, use the keyword argument exc_info with\n a true value, e.g.\n\n logger.info(\"Houston, we have a %s\", \"notable problem\", exc_info=True)\n \"\"\"\n if self.isEnabledFor(INFO):\n self._log(INFO, msg, args, **kwargs)\n\n def warning(self, msg, *args, **kwargs):\n \"\"\"\n Log 'msg % args' with severity 'WARNING'.\n\n To pass exception information, use the keyword argument exc_info with\n a true value, e.g.\n\n logger.warning(\"Houston, we have a %s\", \"bit of a problem\", exc_info=True)\n \"\"\"\n if self.isEnabledFor(WARNING):\n self._log(WARNING, msg, args, **kwargs)\n\n def warn(self, msg, *args, **kwargs):\n warnings.warn(\"The 'warn' method is deprecated, \"\n \"use 'warning' instead\", DeprecationWarning, 2)\n self.warning(msg, *args, **kwargs)\n\n def error(self, msg, *args, **kwargs):\n \"\"\"\n Log 'msg % args' with severity 'ERROR'.\n\n To pass exception information, use the keyword argument exc_info with\n a true value, e.g.\n\n logger.error(\"Houston, we have a %s\", \"major problem\", exc_info=True)\n \"\"\"\n if self.isEnabledFor(ERROR):\n self._log(ERROR, msg, args, **kwargs)\n\n def exception(self, msg, *args, exc_info=True, **kwargs):\n \"\"\"\n Convenience method for logging an ERROR with exception information.\n \"\"\"\n self.error(msg, *args, exc_info=exc_info, **kwargs)\n\n def critical(self, msg, *args, **kwargs):\n \"\"\"\n Log 'msg % args' with severity 'CRITICAL'.\n\n To pass exception information, use the keyword argument exc_info with\n a true value, e.g.\n\n logger.critical(\"Houston, we have a %s\", \"major disaster\", exc_info=True)\n \"\"\"\n if self.isEnabledFor(CRITICAL):\n self._log(CRITICAL, msg, args, **kwargs)\n\n def fatal(self, msg, *args, **kwargs):\n \"\"\"\n Don't use this method, use critical() instead.\n \"\"\"\n self.critical(msg, *args, **kwargs)\n\n def log(self, level, msg, *args, **kwargs):\n \"\"\"\n Log 'msg % args' with the integer severity 'level'.\n\n To pass exception information, use the keyword argument exc_info with\n a true value, e.g.\n\n logger.log(level, \"We have a %s\", \"mysterious problem\", exc_info=True)\n \"\"\"\n if not isinstance(level, int):\n if raiseExceptions:\n raise TypeError(\"level must be an integer\")\n else:\n return\n if self.isEnabledFor(level):\n self._log(level, msg, args, **kwargs)\n\n def findCaller(self, stack_info=False, stacklevel=1):\n \"\"\"\n Find the stack frame of the caller so that we can note the source\n file name, line number and function name.\n \"\"\"\n f = currentframe()\n #On some versions of IronPython, currentframe() returns None if\n #IronPython isn't run with -X:Frames.\n if f is None:\n return \"(unknown file)\", 0, \"(unknown function)\", None\n while stacklevel > 0:\n next_f = f.f_back\n if next_f is None:\n ## We've got options here.\n ## If we want to use the last (deepest) frame:\n break\n ## If we want to mimic the warnings module:\n #return (\"sys\", 1, \"(unknown function)\", None)\n ## If we want to be pedantic:\n #raise ValueError(\"call stack is not deep enough\")\n f = next_f\n if not _is_internal_frame(f):\n stacklevel -= 1\n co = f.f_code\n sinfo = None\n if stack_info:\n with io.StringIO() as sio:\n sio.write(\"Stack (most recent call last):\\n\")\n traceback.print_stack(f, file=sio)\n sinfo = sio.getvalue()\n if sinfo[-1] == '\\n':\n sinfo = sinfo[:-1]\n return co.co_filename, f.f_lineno, co.co_name, sinfo\n\n def makeRecord(self, name, level, fn, lno, msg, args, exc_info,\n func=None, extra=None, sinfo=None):\n \"\"\"\n A factory method which can be overridden in subclasses to create\n specialized LogRecords.\n \"\"\"\n rv = _logRecordFactory(name, level, fn, lno, msg, args, exc_info, func,\n sinfo)\n if extra is not None:\n for key in extra:\n if (key in [\"message\", \"asctime\"]) or (key in rv.__dict__):\n raise KeyError(\"Attempt to overwrite %r in LogRecord\" % key)\n rv.__dict__[key] = extra[key]\n return rv\n\n def _log(self, level, msg, args, exc_info=None, extra=None, stack_info=False,\n stacklevel=1):\n \"\"\"\n Low-level logging routine which creates a LogRecord and then calls\n all the handlers of this logger to handle the record.\n \"\"\"\n sinfo = None\n if _srcfile:\n #IronPython doesn't track Python frames, so findCaller raises an\n #exception on some versions of IronPython. We trap it here so that\n #IronPython can use logging.\n try:\n fn, lno, func, sinfo = self.findCaller(stack_info, stacklevel)\n except ValueError: # pragma: no cover\n fn, lno, func = \"(unknown file)\", 0, \"(unknown function)\"\n else: # pragma: no cover\n fn, lno, func = \"(unknown file)\", 0, \"(unknown function)\"\n if exc_info:\n if isinstance(exc_info, BaseException):\n exc_info = (type(exc_info), exc_info, exc_info.__traceback__)\n elif not isinstance(exc_info, tuple):\n exc_info = sys.exc_info()\n record = self.makeRecord(self.name, level, fn, lno, msg, args,\n exc_info, func, extra, sinfo)\n self.handle(record)\n\n def handle(self, record):\n \"\"\"\n Call the handlers for the specified record.\n\n This method is used for unpickled records received from a socket, as\n well as those created locally. Logger-level filtering is applied.\n \"\"\"\n if self.disabled:\n return\n maybe_record = self.filter(record)\n if not maybe_record:\n return\n if isinstance(maybe_record, LogRecord):\n record = maybe_record\n self.callHandlers(record)\n\n def addHandler(self, hdlr):\n \"\"\"\n Add the specified handler to this logger.\n \"\"\"\n _acquireLock()\n try:\n if not (hdlr in self.handlers):\n self.handlers.append(hdlr)\n finally:\n _releaseLock()\n\n def removeHandler(self, hdlr):\n \"\"\"\n Remove the specified handler from this logger.\n \"\"\"\n _acquireLock()\n try:\n if hdlr in self.handlers:\n self.handlers.remove(hdlr)\n finally:\n _releaseLock()\n\n def hasHandlers(self):\n \"\"\"\n See if this logger has any handlers configured.\n\n Loop through all handlers for this logger and its parents in the\n logger hierarchy. Return True if a handler was found, else False.\n Stop searching up the hierarchy whenever a logger with the \"propagate\"\n attribute set to zero is found - that will be the last logger which\n is checked for the existence of handlers.\n \"\"\"\n c = self\n rv = False\n while c:\n if c.handlers:\n rv = True\n break\n if not c.propagate:\n break\n else:\n c = c.parent\n return rv\n\n def callHandlers(self, record):\n \"\"\"\n Pass a record to all relevant handlers.\n\n Loop through all handlers for this logger and its parents in the\n logger hierarchy. If no handler was found, output a one-off error\n message to sys.stderr. Stop searching up the hierarchy whenever a\n logger with the \"propagate\" attribute set to zero is found - that\n will be the last logger whose handlers are called.\n \"\"\"\n c = self\n found = 0\n while c:\n for hdlr in c.handlers:\n found = found + 1\n if record.levelno >= hdlr.level:\n hdlr.handle(record)\n if not c.propagate:\n c = None #break out\n else:\n c = c.parent\n if (found == 0):\n if lastResort:\n if record.levelno >= lastResort.level:\n lastResort.handle(record)\n elif raiseExceptions and not self.manager.emittedNoHandlerWarning:\n sys.stderr.write(\"No handlers could be found for logger\"\n \" \\\"%s\\\"\\n\" % self.name)\n self.manager.emittedNoHandlerWarning = True\n\n def getEffectiveLevel(self):\n \"\"\"\n Get the effective level for this logger.\n\n Loop through this logger and its parents in the logger hierarchy,\n looking for a non-zero logging level. Return the first one found.\n \"\"\"\n logger = self\n while logger:\n if logger.level:\n return logger.level\n logger = logger.parent\n return NOTSET\n\n def isEnabledFor(self, level):\n \"\"\"\n Is this logger enabled for level 'level'?\n \"\"\"\n if self.disabled:\n return False\n\n try:\n return self._cache[level]\n except KeyError:\n _acquireLock()\n try:\n if self.manager.disable >= level:\n is_enabled = self._cache[level] = False\n else:\n is_enabled = self._cache[level] = (\n level >= self.getEffectiveLevel()\n )\n finally:\n _releaseLock()\n return is_enabled\n\n def getChild(self, suffix):\n \"\"\"\n Get a logger which is a descendant to this one.\n\n This is a convenience method, such that\n\n logging.getLogger('abc').getChild('def.ghi')\n\n is the same as\n\n logging.getLogger('abc.def.ghi')\n\n It's useful, for example, when the parent logger is named using\n __name__ rather than a literal string.\n \"\"\"\n if self.root is not self:\n suffix = '.'.join((self.name, suffix))\n return self.manager.getLogger(suffix)\n\n def getChildren(self):\n\n def _hierlevel(logger):\n if logger is logger.manager.root:\n return 0\n return 1 + logger.name.count('.')\n\n d = self.manager.loggerDict\n _acquireLock()\n try:\n # exclude PlaceHolders - the last check is to ensure that lower-level\n # descendants aren't returned - if there are placeholders, a logger's\n # parent field might point to a grandparent or ancestor thereof.\n return set(item for item in d.values()\n if isinstance(item, Logger) and item.parent is self and\n _hierlevel(item) == 1 + _hierlevel(item.parent))\n finally:\n _releaseLock()\n\n def __repr__(self):\n level = getLevelName(self.getEffectiveLevel())\n return '<%s %s (%s)>' % (self.__class__.__name__, self.name, level)\n\n def __reduce__(self):\n if getLogger(self.name) is not self:\n import pickle\n raise pickle.PicklingError('logger cannot be pickled')\n return getLogger, (self.name,)\n\n\nclass RootLogger(Logger):\n \"\"\"\n A root logger is not that different to any other logger, except that\n it must have a logging level and there is only one instance of it in\n the hierarchy.\n \"\"\"\n def __init__(self, level):\n \"\"\"\n Initialize the logger with the name \"root\".\n \"\"\"\n Logger.__init__(self, \"root\", level)\n\n def __reduce__(self):\n return getLogger, ()\n\n_loggerClass = Logger\n\nclass LoggerAdapter(object):\n \"\"\"\n An adapter for loggers which makes it easier to specify contextual\n information in logging output.\n \"\"\"\n\n def __init__(self, logger, extra=None):\n \"\"\"\n Initialize the adapter with a logger and a dict-like object which\n provides contextual information. This constructor signature allows\n easy stacking of LoggerAdapters, if so desired.\n\n You can effectively pass keyword arguments as shown in the\n following example:\n\n adapter = LoggerAdapter(someLogger, dict(p1=v1, p2=\"v2\"))\n \"\"\"\n self.logger = logger\n self.extra = extra\n\n def process(self, msg, kwargs):\n \"\"\"\n Process the logging message and keyword arguments passed in to\n a logging call to insert contextual information. You can either\n manipulate the message itself, the keyword args or both. Return\n the message and kwargs modified (or not) to suit your needs.\n\n Normally, you'll only need to override this one method in a\n LoggerAdapter subclass for your specific needs.\n \"\"\"\n kwargs[\"extra\"] = self.extra\n return msg, kwargs\n\n #\n # Boilerplate convenience methods\n #\n def debug(self, msg, *args, **kwargs):\n \"\"\"\n Delegate a debug call to the underlying logger.\n \"\"\"\n self.log(DEBUG, msg, *args, **kwargs)\n\n def info(self, msg, *args, **kwargs):\n \"\"\"\n Delegate an info call to the underlying logger.\n \"\"\"\n self.log(INFO, msg, *args, **kwargs)\n\n def warning(self, msg, *args, **kwargs):\n \"\"\"\n Delegate a warning call to the underlying logger.\n \"\"\"\n self.log(WARNING, msg, *args, **kwargs)\n\n def warn(self, msg, *args, **kwargs):\n warnings.warn(\"The 'warn' method is deprecated, \"\n \"use 'warning' instead\", DeprecationWarning, 2)\n self.warning(msg, *args, **kwargs)\n\n def error(self, msg, *args, **kwargs):\n \"\"\"\n Delegate an error call to the underlying logger.\n \"\"\"\n self.log(ERROR, msg, *args, **kwargs)\n\n def exception(self, msg, *args, exc_info=True, **kwargs):\n \"\"\"\n Delegate an exception call to the underlying logger.\n \"\"\"\n self.log(ERROR, msg, *args, exc_info=exc_info, **kwargs)\n\n def critical(self, msg, *args, **kwargs):\n \"\"\"\n Delegate a critical call to the underlying logger.\n \"\"\"\n self.log(CRITICAL, msg, *args, **kwargs)\n\n def log(self, level, msg, *args, **kwargs):\n \"\"\"\n Delegate a log call to the underlying logger, after adding\n contextual information from this adapter instance.\n \"\"\"\n if self.isEnabledFor(level):\n msg, kwargs = self.process(msg, kwargs)\n self.logger.log(level, msg, *args, **kwargs)\n\n def isEnabledFor(self, level):\n \"\"\"\n Is this logger enabled for level 'level'?\n \"\"\"\n return self.logger.isEnabledFor(level)\n\n def setLevel(self, level):\n \"\"\"\n Set the specified level on the underlying logger.\n \"\"\"\n self.logger.setLevel(level)\n\n def getEffectiveLevel(self):\n \"\"\"\n Get the effective level for the underlying logger.\n \"\"\"\n return self.logger.getEffectiveLevel()\n\n def hasHandlers(self):\n \"\"\"\n See if the underlying logger has any handlers.\n \"\"\"\n return self.logger.hasHandlers()\n\n def _log(self, level, msg, args, **kwargs):\n \"\"\"\n Low-level log implementation, proxied to allow nested logger adapters.\n \"\"\"\n return self.logger._log(level, msg, args, **kwargs)\n\n @property\n def manager(self):\n return self.logger.manager\n\n @manager.setter\n def manager(self, value):\n self.logger.manager = value\n\n @property\n def name(self):\n return self.logger.name\n\n def __repr__(self):\n logger = self.logger\n level = getLevelName(logger.getEffectiveLevel())\n return '<%s %s (%s)>' % (self.__class__.__name__, logger.name, level)\n\n __class_getitem__ = classmethod(GenericAlias)\n\nroot = RootLogger(WARNING)\nLogger.root = root\nLogger.manager = Manager(Logger.root)\n\n#---------------------------------------------------------------------------\n# Configuration classes and functions\n#---------------------------------------------------------------------------\n\ndef basicConfig(**kwargs):\n \"\"\"\n Do basic configuration for the logging system.\n\n This function does nothing if the root logger already has handlers\n configured, unless the keyword argument *force* is set to ``True``.\n It is a convenience method intended for use by simple scripts\n to do one-shot configuration of the logging package.\n\n The default behaviour is to create a StreamHandler which writes to\n sys.stderr, set a formatter using the BASIC_FORMAT format string, and\n add the handler to the root logger.\n\n A number of optional keyword arguments may be specified, which can alter\n the default behaviour.\n\n filename Specifies that a FileHandler be created, using the specified\n filename, rather than a StreamHandler.\n filemode Specifies the mode to open the file, if filename is specified\n (if filemode is unspecified, it defaults to 'a').\n format Use the specified format string for the handler.\n datefmt Use the specified date/time format.\n style If a format string is specified, use this to specify the\n type of format string (possible values '%', '{', '$', for\n %-formatting, :meth:`str.format` and :class:`string.Template`\n - defaults to '%').\n level Set the root logger level to the specified level.\n stream Use the specified stream to initialize the StreamHandler. Note\n that this argument is incompatible with 'filename' - if both\n are present, 'stream' is ignored.\n handlers If specified, this should be an iterable of already created\n handlers, which will be added to the root logger. Any handler\n in the list which does not have a formatter assigned will be\n assigned the formatter created in this function.\n force If this keyword is specified as true, any existing handlers\n attached to the root logger are removed and closed, before\n carrying out the configuration as specified by the other\n arguments.\n encoding If specified together with a filename, this encoding is passed to\n the created FileHandler, causing it to be used when the file is\n opened.\n errors If specified together with a filename, this value is passed to the\n created FileHandler, causing it to be used when the file is\n opened in text mode. If not specified, the default value is\n `backslashreplace`.\n\n Note that you could specify a stream created using open(filename, mode)\n rather than passing the filename and mode in. However, it should be\n remembered that StreamHandler does not close its stream (since it may be\n using sys.stdout or sys.stderr), whereas FileHandler closes its stream\n when the handler is closed.\n\n .. versionchanged:: 3.2\n Added the ``style`` parameter.\n\n .. versionchanged:: 3.3\n Added the ``handlers`` parameter. A ``ValueError`` is now thrown for\n incompatible arguments (e.g. ``handlers`` specified together with\n ``filename``/``filemode``, or ``filename``/``filemode`` specified\n together with ``stream``, or ``handlers`` specified together with\n ``stream``.\n\n .. versionchanged:: 3.8\n Added the ``force`` parameter.\n\n .. versionchanged:: 3.9\n Added the ``encoding`` and ``errors`` parameters.\n \"\"\"\n # Add thread safety in case someone mistakenly calls\n # basicConfig() from multiple threads\n _acquireLock()\n try:\n force = kwargs.pop('force', False)\n encoding = kwargs.pop('encoding', None)\n errors = kwargs.pop('errors', 'backslashreplace')\n if force:\n for h in root.handlers[:]:\n root.removeHandler(h)\n h.close()\n if len(root.handlers) == 0:\n handlers = kwargs.pop(\"handlers\", None)\n if handlers is None:\n if \"stream\" in kwargs and \"filename\" in kwargs:\n raise ValueError(\"'stream' and 'filename' should not be \"\n \"specified together\")\n else:\n if \"stream\" in kwargs or \"filename\" in kwargs:\n raise ValueError(\"'stream' or 'filename' should not be \"\n \"specified together with 'handlers'\")\n if handlers is None:\n filename = kwargs.pop(\"filename\", None)\n mode = kwargs.pop(\"filemode\", 'a')\n if filename:\n if 'b' in mode:\n errors = None\n else:\n encoding = io.text_encoding(encoding)\n h = FileHandler(filename, mode,\n encoding=encoding, errors=errors)\n else:\n stream = kwargs.pop(\"stream\", None)\n h = StreamHandler(stream)\n handlers = [h]\n dfs = kwargs.pop(\"datefmt\", None)\n style = kwargs.pop(\"style\", '%')\n if style not in _STYLES:\n raise ValueError('Style must be one of: %s' % ','.join(\n _STYLES.keys()))\n fs = kwargs.pop(\"format\", _STYLES[style][1])\n fmt = Formatter(fs, dfs, style)\n for h in handlers:\n if h.formatter is None:\n h.setFormatter(fmt)\n root.addHandler(h)\n level = kwargs.pop(\"level\", None)\n if level is not None:\n root.setLevel(level)\n if kwargs:\n keys = ', '.join(kwargs.keys())\n raise ValueError('Unrecognised argument(s): %s' % keys)\n finally:\n _releaseLock()\n\n#---------------------------------------------------------------------------\n# Utility functions at module level.\n# Basically delegate everything to the root logger.\n#---------------------------------------------------------------------------\n\ndef getLogger(name=None):\n \"\"\"\n Return a logger with the specified name, creating it if necessary.\n\n If no name is specified, return the root logger.\n \"\"\"\n if not name or isinstance(name, str) and name == root.name:\n return root\n return Logger.manager.getLogger(name)\n\ndef critical(msg, *args, **kwargs):\n \"\"\"\n Log a message with severity 'CRITICAL' on the root logger. If the logger\n has no handlers, call basicConfig() to add a console handler with a\n pre-defined format.\n \"\"\"\n if len(root.handlers) == 0:\n basicConfig()\n root.critical(msg, *args, **kwargs)\n\ndef fatal(msg, *args, **kwargs):\n \"\"\"\n Don't use this function, use critical() instead.\n \"\"\"\n critical(msg, *args, **kwargs)\n\ndef error(msg, *args, **kwargs):\n \"\"\"\n Log a message with severity 'ERROR' on the root logger. If the logger has\n no handlers, call basicConfig() to add a console handler with a pre-defined\n format.\n \"\"\"\n if len(root.handlers) == 0:\n basicConfig()\n root.error(msg, *args, **kwargs)\n\ndef exception(msg, *args, exc_info=True, **kwargs):\n \"\"\"\n Log a message with severity 'ERROR' on the root logger, with exception\n information. If the logger has no handlers, basicConfig() is called to add\n a console handler with a pre-defined format.\n \"\"\"\n error(msg, *args, exc_info=exc_info, **kwargs)\n\ndef warning(msg, *args, **kwargs):\n \"\"\"\n Log a message with severity 'WARNING' on the root logger. If the logger has\n no handlers, call basicConfig() to add a console handler with a pre-defined\n format.\n \"\"\"\n if len(root.handlers) == 0:\n basicConfig()\n root.warning(msg, *args, **kwargs)\n\ndef warn(msg, *args, **kwargs):\n warnings.warn(\"The 'warn' function is deprecated, \"\n \"use 'warning' instead\", DeprecationWarning, 2)\n warning(msg, *args, **kwargs)\n\ndef info(msg, *args, **kwargs):\n \"\"\"\n Log a message with severity 'INFO' on the root logger. If the logger has\n no handlers, call basicConfig() to add a console handler with a pre-defined\n format.\n \"\"\"\n if len(root.handlers) == 0:\n basicConfig()\n root.info(msg, *args, **kwargs)\n\ndef debug(msg, *args, **kwargs):\n \"\"\"\n Log a message with severity 'DEBUG' on the root logger. If the logger has\n no handlers, call basicConfig() to add a console handler with a pre-defined\n format.\n \"\"\"\n if len(root.handlers) == 0:\n basicConfig()\n root.debug(msg, *args, **kwargs)\n\ndef log(level, msg, *args, **kwargs):\n \"\"\"\n Log 'msg % args' with the integer severity 'level' on the root logger. If\n the logger has no handlers, call basicConfig() to add a console handler\n with a pre-defined format.\n \"\"\"\n if len(root.handlers) == 0:\n basicConfig()\n root.log(level, msg, *args, **kwargs)\n\ndef disable(level=CRITICAL):\n \"\"\"\n Disable all logging calls of severity 'level' and below.\n \"\"\"\n root.manager.disable = level\n root.manager._clear_cache()\n\ndef shutdown(handlerList=_handlerList):\n \"\"\"\n Perform any cleanup actions in the logging system (e.g. flushing\n buffers).\n\n Should be called at application exit.\n \"\"\"\n for wr in reversed(handlerList[:]):\n #errors might occur, for example, if files are locked\n #we just ignore them if raiseExceptions is not set\n try:\n h = wr()\n if h:\n try:\n h.acquire()\n # MemoryHandlers might not want to be flushed on close,\n # but circular imports prevent us scoping this to just\n # those handlers. hence the default to True.\n if getattr(h, 'flushOnClose', True):\n h.flush()\n h.close()\n except (OSError, ValueError):\n # Ignore errors which might be caused\n # because handlers have been closed but\n # references to them are still around at\n # application exit.\n pass\n finally:\n h.release()\n except: # ignore everything, as we're shutting down\n if raiseExceptions:\n raise\n #else, swallow\n\n#Let's try and shutdown automatically on application exit...\nimport atexit\natexit.register(shutdown)\n\n# Null handler\n\nclass NullHandler(Handler):\n \"\"\"\n This handler does nothing. It's intended to be used to avoid the\n \"No handlers could be found for logger XXX\" one-off warning. This is\n important for library code, which may contain code to log events. If a user\n of the library does not configure logging, the one-off warning might be\n produced; to avoid this, the library developer simply needs to instantiate\n a NullHandler and add it to the top-level logger of the library module or\n package.\n \"\"\"\n def handle(self, record):\n \"\"\"Stub.\"\"\"\n\n def emit(self, record):\n \"\"\"Stub.\"\"\"\n\n def createLock(self):\n self.lock = None\n\n def _at_fork_reinit(self):\n pass\n\n# Warnings integration\n\n_warnings_showwarning = None\n\ndef _showwarning(message, category, filename, lineno, file=None, line=None):\n \"\"\"\n Implementation of showwarnings which redirects to logging, which will first\n check to see if the file parameter is None. If a file is specified, it will\n delegate to the original warnings implementation of showwarning. Otherwise,\n it will call warnings.formatwarning and will log the resulting string to a\n warnings logger named \"py.warnings\" with level logging.WARNING.\n \"\"\"\n if file is not None:\n if _warnings_showwarning is not None:\n _warnings_showwarning(message, category, filename, lineno, file, line)\n else:\n s = warnings.formatwarning(message, category, filename, lineno, line)\n logger = getLogger(\"py.warnings\")\n if not logger.handlers:\n logger.addHandler(NullHandler())\n # bpo-46557: Log str(s) as msg instead of logger.warning(\"%s\", s)\n # since some log aggregation tools group logs by the msg arg\n logger.warning(str(s))\n\ndef captureWarnings(capture):\n \"\"\"\n If capture is true, redirect all warnings to the logging package.\n If capture is False, ensure that warnings are not redirected to logging\n but to their original destinations.\n \"\"\"\n global _warnings_showwarning\n if capture:\n if _warnings_showwarning is None:\n _warnings_showwarning = warnings.showwarning\n warnings.showwarning = _showwarning\n else:\n if _warnings_showwarning is not None:\n warnings.showwarning = _warnings_showwarning\n _warnings_showwarning = None\n", 2345], "/usr/lib/python3.12/socket.py": ["# Wrapper module for _socket, providing some additional facilities\n# implemented in Python.\n\n\"\"\"\\\nThis module provides socket operations and some related functions.\nOn Unix, it supports IP (Internet Protocol) and Unix domain sockets.\nOn other systems, it only supports IP. Functions specific for a\nsocket are available as methods of the socket object.\n\nFunctions:\n\nsocket() -- create a new socket object\nsocketpair() -- create a pair of new socket objects [*]\nfromfd() -- create a socket object from an open file descriptor [*]\nsend_fds() -- Send file descriptor to the socket.\nrecv_fds() -- Receive file descriptors from the socket.\nfromshare() -- create a socket object from data received from socket.share() [*]\ngethostname() -- return the current hostname\ngethostbyname() -- map a hostname to its IP number\ngethostbyaddr() -- map an IP number or hostname to DNS info\ngetservbyname() -- map a service name and a protocol name to a port number\ngetprotobyname() -- map a protocol name (e.g. 'tcp') to a number\nntohs(), ntohl() -- convert 16, 32 bit int from network to host byte order\nhtons(), htonl() -- convert 16, 32 bit int from host to network byte order\ninet_aton() -- convert IP addr string (123.45.67.89) to 32-bit packed format\ninet_ntoa() -- convert 32-bit packed format IP to string (123.45.67.89)\nsocket.getdefaulttimeout() -- get the default timeout value\nsocket.setdefaulttimeout() -- set the default timeout value\ncreate_connection() -- connects to an address, with an optional timeout and\n optional source address.\ncreate_server() -- create a TCP socket and bind it to a specified address.\n\n [*] not available on all platforms!\n\nSpecial objects:\n\nSocketType -- type object for socket objects\nerror -- exception raised for I/O errors\nhas_ipv6 -- boolean value indicating if IPv6 is supported\n\nIntEnum constants:\n\nAF_INET, AF_UNIX -- socket domains (first argument to socket() call)\nSOCK_STREAM, SOCK_DGRAM, SOCK_RAW -- socket types (second argument)\n\nInteger constants:\n\nMany other constants may be defined; these may be used in calls to\nthe setsockopt() and getsockopt() methods.\n\"\"\"\n\nimport _socket\nfrom _socket import *\n\nimport os, sys, io, selectors\nfrom enum import IntEnum, IntFlag\n\ntry:\n import errno\nexcept ImportError:\n errno = None\nEBADF = getattr(errno, 'EBADF', 9)\nEAGAIN = getattr(errno, 'EAGAIN', 11)\nEWOULDBLOCK = getattr(errno, 'EWOULDBLOCK', 11)\n\n__all__ = [\"fromfd\", \"getfqdn\", \"create_connection\", \"create_server\",\n \"has_dualstack_ipv6\", \"AddressFamily\", \"SocketKind\"]\n__all__.extend(os._get_exports_list(_socket))\n\n# Set up the socket.AF_* socket.SOCK_* constants as members of IntEnums for\n# nicer string representations.\n# Note that _socket only knows about the integer values. The public interface\n# in this module understands the enums and translates them back from integers\n# where needed (e.g. .family property of a socket object).\n\nIntEnum._convert_(\n 'AddressFamily',\n __name__,\n lambda C: C.isupper() and C.startswith('AF_'))\n\nIntEnum._convert_(\n 'SocketKind',\n __name__,\n lambda C: C.isupper() and C.startswith('SOCK_'))\n\nIntFlag._convert_(\n 'MsgFlag',\n __name__,\n lambda C: C.isupper() and C.startswith('MSG_'))\n\nIntFlag._convert_(\n 'AddressInfo',\n __name__,\n lambda C: C.isupper() and C.startswith('AI_'))\n\n_LOCALHOST = '127.0.0.1'\n_LOCALHOST_V6 = '::1'\n\n\ndef _intenum_converter(value, enum_klass):\n \"\"\"Convert a numeric family value to an IntEnum member.\n\n If it's not a known member, return the numeric value itself.\n \"\"\"\n try:\n return enum_klass(value)\n except ValueError:\n return value\n\n\n# WSA error codes\nif sys.platform.lower().startswith(\"win\"):\n errorTab = {}\n errorTab[6] = \"Specified event object handle is invalid.\"\n errorTab[8] = \"Insufficient memory available.\"\n errorTab[87] = \"One or more parameters are invalid.\"\n errorTab[995] = \"Overlapped operation aborted.\"\n errorTab[996] = \"Overlapped I/O event object not in signaled state.\"\n errorTab[997] = \"Overlapped operation will complete later.\"\n errorTab[10004] = \"The operation was interrupted.\"\n errorTab[10009] = \"A bad file handle was passed.\"\n errorTab[10013] = \"Permission denied.\"\n errorTab[10014] = \"A fault occurred on the network??\" # WSAEFAULT\n errorTab[10022] = \"An invalid operation was attempted.\"\n errorTab[10024] = \"Too many open files.\"\n errorTab[10035] = \"The socket operation would block.\"\n errorTab[10036] = \"A blocking operation is already in progress.\"\n errorTab[10037] = \"Operation already in progress.\"\n errorTab[10038] = \"Socket operation on nonsocket.\"\n errorTab[10039] = \"Destination address required.\"\n errorTab[10040] = \"Message too long.\"\n errorTab[10041] = \"Protocol wrong type for socket.\"\n errorTab[10042] = \"Bad protocol option.\"\n errorTab[10043] = \"Protocol not supported.\"\n errorTab[10044] = \"Socket type not supported.\"\n errorTab[10045] = \"Operation not supported.\"\n errorTab[10046] = \"Protocol family not supported.\"\n errorTab[10047] = \"Address family not supported by protocol family.\"\n errorTab[10048] = \"The network address is in use.\"\n errorTab[10049] = \"Cannot assign requested address.\"\n errorTab[10050] = \"Network is down.\"\n errorTab[10051] = \"Network is unreachable.\"\n errorTab[10052] = \"Network dropped connection on reset.\"\n errorTab[10053] = \"Software caused connection abort.\"\n errorTab[10054] = \"The connection has been reset.\"\n errorTab[10055] = \"No buffer space available.\"\n errorTab[10056] = \"Socket is already connected.\"\n errorTab[10057] = \"Socket is not connected.\"\n errorTab[10058] = \"The network has been shut down.\"\n errorTab[10059] = \"Too many references.\"\n errorTab[10060] = \"The operation timed out.\"\n errorTab[10061] = \"Connection refused.\"\n errorTab[10062] = \"Cannot translate name.\"\n errorTab[10063] = \"The name is too long.\"\n errorTab[10064] = \"The host is down.\"\n errorTab[10065] = \"The host is unreachable.\"\n errorTab[10066] = \"Directory not empty.\"\n errorTab[10067] = \"Too many processes.\"\n errorTab[10068] = \"User quota exceeded.\"\n errorTab[10069] = \"Disk quota exceeded.\"\n errorTab[10070] = \"Stale file handle reference.\"\n errorTab[10071] = \"Item is remote.\"\n errorTab[10091] = \"Network subsystem is unavailable.\"\n errorTab[10092] = \"Winsock.dll version out of range.\"\n errorTab[10093] = \"Successful WSAStartup not yet performed.\"\n errorTab[10101] = \"Graceful shutdown in progress.\"\n errorTab[10102] = \"No more results from WSALookupServiceNext.\"\n errorTab[10103] = \"Call has been canceled.\"\n errorTab[10104] = \"Procedure call table is invalid.\"\n errorTab[10105] = \"Service provider is invalid.\"\n errorTab[10106] = \"Service provider failed to initialize.\"\n errorTab[10107] = \"System call failure.\"\n errorTab[10108] = \"Service not found.\"\n errorTab[10109] = \"Class type not found.\"\n errorTab[10110] = \"No more results from WSALookupServiceNext.\"\n errorTab[10111] = \"Call was canceled.\"\n errorTab[10112] = \"Database query was refused.\"\n errorTab[11001] = \"Host not found.\"\n errorTab[11002] = \"Nonauthoritative host not found.\"\n errorTab[11003] = \"This is a nonrecoverable error.\"\n errorTab[11004] = \"Valid name, no data record requested type.\"\n errorTab[11005] = \"QoS receivers.\"\n errorTab[11006] = \"QoS senders.\"\n errorTab[11007] = \"No QoS senders.\"\n errorTab[11008] = \"QoS no receivers.\"\n errorTab[11009] = \"QoS request confirmed.\"\n errorTab[11010] = \"QoS admission error.\"\n errorTab[11011] = \"QoS policy failure.\"\n errorTab[11012] = \"QoS bad style.\"\n errorTab[11013] = \"QoS bad object.\"\n errorTab[11014] = \"QoS traffic control error.\"\n errorTab[11015] = \"QoS generic error.\"\n errorTab[11016] = \"QoS service type error.\"\n errorTab[11017] = \"QoS flowspec error.\"\n errorTab[11018] = \"Invalid QoS provider buffer.\"\n errorTab[11019] = \"Invalid QoS filter style.\"\n errorTab[11020] = \"Invalid QoS filter style.\"\n errorTab[11021] = \"Incorrect QoS filter count.\"\n errorTab[11022] = \"Invalid QoS object length.\"\n errorTab[11023] = \"Incorrect QoS flow count.\"\n errorTab[11024] = \"Unrecognized QoS object.\"\n errorTab[11025] = \"Invalid QoS policy object.\"\n errorTab[11026] = \"Invalid QoS flow descriptor.\"\n errorTab[11027] = \"Invalid QoS provider-specific flowspec.\"\n errorTab[11028] = \"Invalid QoS provider-specific filterspec.\"\n errorTab[11029] = \"Invalid QoS shape discard mode object.\"\n errorTab[11030] = \"Invalid QoS shaping rate object.\"\n errorTab[11031] = \"Reserved policy QoS element type.\"\n __all__.append(\"errorTab\")\n\n\nclass _GiveupOnSendfile(Exception): pass\n\n\nclass socket(_socket.socket):\n\n \"\"\"A subclass of _socket.socket adding the makefile() method.\"\"\"\n\n __slots__ = [\"__weakref__\", \"_io_refs\", \"_closed\"]\n\n def __init__(self, family=-1, type=-1, proto=-1, fileno=None):\n # For user code address family and type values are IntEnum members, but\n # for the underlying _socket.socket they're just integers. The\n # constructor of _socket.socket converts the given argument to an\n # integer automatically.\n if fileno is None:\n if family == -1:\n family = AF_INET\n if type == -1:\n type = SOCK_STREAM\n if proto == -1:\n proto = 0\n _socket.socket.__init__(self, family, type, proto, fileno)\n self._io_refs = 0\n self._closed = False\n\n def __enter__(self):\n return self\n\n def __exit__(self, *args):\n if not self._closed:\n self.close()\n\n def __repr__(self):\n \"\"\"Wrap __repr__() to reveal the real class name and socket\n address(es).\n \"\"\"\n closed = getattr(self, '_closed', False)\n s = \"<%s.%s%s fd=%i, family=%s, type=%s, proto=%i\" \\\n % (self.__class__.__module__,\n self.__class__.__qualname__,\n \" [closed]\" if closed else \"\",\n self.fileno(),\n self.family,\n self.type,\n self.proto)\n if not closed:\n # getsockname and getpeername may not be available on WASI.\n try:\n laddr = self.getsockname()\n if laddr:\n s += \", laddr=%s\" % str(laddr)\n except (error, AttributeError):\n pass\n try:\n raddr = self.getpeername()\n if raddr:\n s += \", raddr=%s\" % str(raddr)\n except (error, AttributeError):\n pass\n s += '>'\n return s\n\n def __getstate__(self):\n raise TypeError(f\"cannot pickle {self.__class__.__name__!r} object\")\n\n def dup(self):\n \"\"\"dup() -> socket object\n\n Duplicate the socket. Return a new socket object connected to the same\n system resource. The new socket is non-inheritable.\n \"\"\"\n fd = dup(self.fileno())\n sock = self.__class__(self.family, self.type, self.proto, fileno=fd)\n sock.settimeout(self.gettimeout())\n return sock\n\n def accept(self):\n \"\"\"accept() -> (socket object, address info)\n\n Wait for an incoming connection. Return a new socket\n representing the connection, and the address of the client.\n For IP sockets, the address info is a pair (hostaddr, port).\n \"\"\"\n fd, addr = self._accept()\n sock = socket(self.family, self.type, self.proto, fileno=fd)\n # Issue #7995: if no default timeout is set and the listening\n # socket had a (non-zero) timeout, force the new socket in blocking\n # mode to override platform-specific socket flags inheritance.\n if getdefaulttimeout() is None and self.gettimeout():\n sock.setblocking(True)\n return sock, addr\n\n def makefile(self, mode=\"r\", buffering=None, *,\n encoding=None, errors=None, newline=None):\n \"\"\"makefile(...) -> an I/O stream connected to the socket\n\n The arguments are as for io.open() after the filename, except the only\n supported mode values are 'r' (default), 'w' and 'b'.\n \"\"\"\n # XXX refactor to share code?\n if not set(mode) <= {\"r\", \"w\", \"b\"}:\n raise ValueError(\"invalid mode %r (only r, w, b allowed)\" % (mode,))\n writing = \"w\" in mode\n reading = \"r\" in mode or not writing\n assert reading or writing\n binary = \"b\" in mode\n rawmode = \"\"\n if reading:\n rawmode += \"r\"\n if writing:\n rawmode += \"w\"\n raw = SocketIO(self, rawmode)\n self._io_refs += 1\n if buffering is None:\n buffering = -1\n if buffering < 0:\n buffering = io.DEFAULT_BUFFER_SIZE\n if buffering == 0:\n if not binary:\n raise ValueError(\"unbuffered streams must be binary\")\n return raw\n if reading and writing:\n buffer = io.BufferedRWPair(raw, raw, buffering)\n elif reading:\n buffer = io.BufferedReader(raw, buffering)\n else:\n assert writing\n buffer = io.BufferedWriter(raw, buffering)\n if binary:\n return buffer\n encoding = io.text_encoding(encoding)\n text = io.TextIOWrapper(buffer, encoding, errors, newline)\n text.mode = mode\n return text\n\n if hasattr(os, 'sendfile'):\n\n def _sendfile_use_sendfile(self, file, offset=0, count=None):\n self._check_sendfile_params(file, offset, count)\n sockno = self.fileno()\n try:\n fileno = file.fileno()\n except (AttributeError, io.UnsupportedOperation) as err:\n raise _GiveupOnSendfile(err) # not a regular file\n try:\n fsize = os.fstat(fileno).st_size\n except OSError as err:\n raise _GiveupOnSendfile(err) # not a regular file\n if not fsize:\n return 0 # empty file\n # Truncate to 1GiB to avoid OverflowError, see bpo-38319.\n blocksize = min(count or fsize, 2 ** 30)\n timeout = self.gettimeout()\n if timeout == 0:\n raise ValueError(\"non-blocking sockets are not supported\")\n # poll/select have the advantage of not requiring any\n # extra file descriptor, contrarily to epoll/kqueue\n # (also, they require a single syscall).\n if hasattr(selectors, 'PollSelector'):\n selector = selectors.PollSelector()\n else:\n selector = selectors.SelectSelector()\n selector.register(sockno, selectors.EVENT_WRITE)\n\n total_sent = 0\n # localize variable access to minimize overhead\n selector_select = selector.select\n os_sendfile = os.sendfile\n try:\n while True:\n if timeout and not selector_select(timeout):\n raise TimeoutError('timed out')\n if count:\n blocksize = min(count - total_sent, blocksize)\n if blocksize <= 0:\n break\n try:\n sent = os_sendfile(sockno, fileno, offset, blocksize)\n except BlockingIOError:\n if not timeout:\n # Block until the socket is ready to send some\n # data; avoids hogging CPU resources.\n selector_select()\n continue\n except OSError as err:\n if total_sent == 0:\n # We can get here for different reasons, the main\n # one being 'file' is not a regular mmap(2)-like\n # file, in which case we'll fall back on using\n # plain send().\n raise _GiveupOnSendfile(err)\n raise err from None\n else:\n if sent == 0:\n break # EOF\n offset += sent\n total_sent += sent\n return total_sent\n finally:\n if total_sent > 0 and hasattr(file, 'seek'):\n file.seek(offset)\n else:\n def _sendfile_use_sendfile(self, file, offset=0, count=None):\n raise _GiveupOnSendfile(\n \"os.sendfile() not available on this platform\")\n\n def _sendfile_use_send(self, file, offset=0, count=None):\n self._check_sendfile_params(file, offset, count)\n if self.gettimeout() == 0:\n raise ValueError(\"non-blocking sockets are not supported\")\n if offset:\n file.seek(offset)\n blocksize = min(count, 8192) if count else 8192\n total_sent = 0\n # localize variable access to minimize overhead\n file_read = file.read\n sock_send = self.send\n try:\n while True:\n if count:\n blocksize = min(count - total_sent, blocksize)\n if blocksize <= 0:\n break\n data = memoryview(file_read(blocksize))\n if not data:\n break # EOF\n while True:\n try:\n sent = sock_send(data)\n except BlockingIOError:\n continue\n else:\n total_sent += sent\n if sent < len(data):\n data = data[sent:]\n else:\n break\n return total_sent\n finally:\n if total_sent > 0 and hasattr(file, 'seek'):\n file.seek(offset + total_sent)\n\n def _check_sendfile_params(self, file, offset, count):\n if 'b' not in getattr(file, 'mode', 'b'):\n raise ValueError(\"file should be opened in binary mode\")\n if not self.type & SOCK_STREAM:\n raise ValueError(\"only SOCK_STREAM type sockets are supported\")\n if count is not None:\n if not isinstance(count, int):\n raise TypeError(\n \"count must be a positive integer (got {!r})\".format(count))\n if count <= 0:\n raise ValueError(\n \"count must be a positive integer (got {!r})\".format(count))\n\n def sendfile(self, file, offset=0, count=None):\n \"\"\"sendfile(file[, offset[, count]]) -> sent\n\n Send a file until EOF is reached by using high-performance\n os.sendfile() and return the total number of bytes which\n were sent.\n *file* must be a regular file object opened in binary mode.\n If os.sendfile() is not available (e.g. Windows) or file is\n not a regular file socket.send() will be used instead.\n *offset* tells from where to start reading the file.\n If specified, *count* is the total number of bytes to transmit\n as opposed to sending the file until EOF is reached.\n File position is updated on return or also in case of error in\n which case file.tell() can be used to figure out the number of\n bytes which were sent.\n The socket must be of SOCK_STREAM type.\n Non-blocking sockets are not supported.\n \"\"\"\n try:\n return self._sendfile_use_sendfile(file, offset, count)\n except _GiveupOnSendfile:\n return self._sendfile_use_send(file, offset, count)\n\n def _decref_socketios(self):\n if self._io_refs > 0:\n self._io_refs -= 1\n if self._closed:\n self.close()\n\n def _real_close(self, _ss=_socket.socket):\n # This function should not reference any globals. See issue #808164.\n _ss.close(self)\n\n def close(self):\n # This function should not reference any globals. See issue #808164.\n self._closed = True\n if self._io_refs <= 0:\n self._real_close()\n\n def detach(self):\n \"\"\"detach() -> file descriptor\n\n Close the socket object without closing the underlying file descriptor.\n The object cannot be used after this call, but the file descriptor\n can be reused for other purposes. The file descriptor is returned.\n \"\"\"\n self._closed = True\n return super().detach()\n\n @property\n def family(self):\n \"\"\"Read-only access to the address family for this socket.\n \"\"\"\n return _intenum_converter(super().family, AddressFamily)\n\n @property\n def type(self):\n \"\"\"Read-only access to the socket type.\n \"\"\"\n return _intenum_converter(super().type, SocketKind)\n\n if os.name == 'nt':\n def get_inheritable(self):\n return os.get_handle_inheritable(self.fileno())\n def set_inheritable(self, inheritable):\n os.set_handle_inheritable(self.fileno(), inheritable)\n else:\n def get_inheritable(self):\n return os.get_inheritable(self.fileno())\n def set_inheritable(self, inheritable):\n os.set_inheritable(self.fileno(), inheritable)\n get_inheritable.__doc__ = \"Get the inheritable flag of the socket\"\n set_inheritable.__doc__ = \"Set the inheritable flag of the socket\"\n\ndef fromfd(fd, family, type, proto=0):\n \"\"\" fromfd(fd, family, type[, proto]) -> socket object\n\n Create a socket object from a duplicate of the given file\n descriptor. The remaining arguments are the same as for socket().\n \"\"\"\n nfd = dup(fd)\n return socket(family, type, proto, nfd)\n\nif hasattr(_socket.socket, \"sendmsg\"):\n import array\n\n def send_fds(sock, buffers, fds, flags=0, address=None):\n \"\"\" send_fds(sock, buffers, fds[, flags[, address]]) -> integer\n\n Send the list of file descriptors fds over an AF_UNIX socket.\n \"\"\"\n return sock.sendmsg(buffers, [(_socket.SOL_SOCKET,\n _socket.SCM_RIGHTS, array.array(\"i\", fds))])\n __all__.append(\"send_fds\")\n\nif hasattr(_socket.socket, \"recvmsg\"):\n import array\n\n def recv_fds(sock, bufsize, maxfds, flags=0):\n \"\"\" recv_fds(sock, bufsize, maxfds[, flags]) -> (data, list of file\n descriptors, msg_flags, address)\n\n Receive up to maxfds file descriptors returning the message\n data and a list containing the descriptors.\n \"\"\"\n # Array of ints\n fds = array.array(\"i\")\n msg, ancdata, flags, addr = sock.recvmsg(bufsize,\n _socket.CMSG_LEN(maxfds * fds.itemsize))\n for cmsg_level, cmsg_type, cmsg_data in ancdata:\n if (cmsg_level == _socket.SOL_SOCKET and cmsg_type == _socket.SCM_RIGHTS):\n fds.frombytes(cmsg_data[:\n len(cmsg_data) - (len(cmsg_data) % fds.itemsize)])\n\n return msg, list(fds), flags, addr\n __all__.append(\"recv_fds\")\n\nif hasattr(_socket.socket, \"share\"):\n def fromshare(info):\n \"\"\" fromshare(info) -> socket object\n\n Create a socket object from the bytes object returned by\n socket.share(pid).\n \"\"\"\n return socket(0, 0, 0, info)\n __all__.append(\"fromshare\")\n\nif hasattr(_socket, \"socketpair\"):\n\n def socketpair(family=None, type=SOCK_STREAM, proto=0):\n \"\"\"socketpair([family[, type[, proto]]]) -> (socket object, socket object)\n\n Create a pair of socket objects from the sockets returned by the platform\n socketpair() function.\n The arguments are the same as for socket() except the default family is\n AF_UNIX if defined on the platform; otherwise, the default is AF_INET.\n \"\"\"\n if family is None:\n try:\n family = AF_UNIX\n except NameError:\n family = AF_INET\n a, b = _socket.socketpair(family, type, proto)\n a = socket(family, type, proto, a.detach())\n b = socket(family, type, proto, b.detach())\n return a, b\n\nelse:\n\n # Origin: https://gist.github.com/4325783, by Geert Jansen. Public domain.\n def socketpair(family=AF_INET, type=SOCK_STREAM, proto=0):\n if family == AF_INET:\n host = _LOCALHOST\n elif family == AF_INET6:\n host = _LOCALHOST_V6\n else:\n raise ValueError(\"Only AF_INET and AF_INET6 socket address families \"\n \"are supported\")\n if type != SOCK_STREAM:\n raise ValueError(\"Only SOCK_STREAM socket type is supported\")\n if proto != 0:\n raise ValueError(\"Only protocol zero is supported\")\n\n # We create a connected TCP socket. Note the trick with\n # setblocking(False) that prevents us from having to create a thread.\n lsock = socket(family, type, proto)\n try:\n lsock.bind((host, 0))\n lsock.listen()\n # On IPv6, ignore flow_info and scope_id\n addr, port = lsock.getsockname()[:2]\n csock = socket(family, type, proto)\n try:\n csock.setblocking(False)\n try:\n csock.connect((addr, port))\n except (BlockingIOError, InterruptedError):\n pass\n csock.setblocking(True)\n ssock, _ = lsock.accept()\n except:\n csock.close()\n raise\n finally:\n lsock.close()\n return (ssock, csock)\n __all__.append(\"socketpair\")\n\nsocketpair.__doc__ = \"\"\"socketpair([family[, type[, proto]]]) -> (socket object, socket object)\nCreate a pair of socket objects from the sockets returned by the platform\nsocketpair() function.\nThe arguments are the same as for socket() except the default family is AF_UNIX\nif defined on the platform; otherwise, the default is AF_INET.\n\"\"\"\n\n_blocking_errnos = { EAGAIN, EWOULDBLOCK }\n\nclass SocketIO(io.RawIOBase):\n\n \"\"\"Raw I/O implementation for stream sockets.\n\n This class supports the makefile() method on sockets. It provides\n the raw I/O interface on top of a socket object.\n \"\"\"\n\n # One might wonder why not let FileIO do the job instead. There are two\n # main reasons why FileIO is not adapted:\n # - it wouldn't work under Windows (where you can't used read() and\n # write() on a socket handle)\n # - it wouldn't work with socket timeouts (FileIO would ignore the\n # timeout and consider the socket non-blocking)\n\n # XXX More docs\n\n def __init__(self, sock, mode):\n if mode not in (\"r\", \"w\", \"rw\", \"rb\", \"wb\", \"rwb\"):\n raise ValueError(\"invalid mode: %r\" % mode)\n io.RawIOBase.__init__(self)\n self._sock = sock\n if \"b\" not in mode:\n mode += \"b\"\n self._mode = mode\n self._reading = \"r\" in mode\n self._writing = \"w\" in mode\n self._timeout_occurred = False\n\n def readinto(self, b):\n \"\"\"Read up to len(b) bytes into the writable buffer *b* and return\n the number of bytes read. If the socket is non-blocking and no bytes\n are available, None is returned.\n\n If *b* is non-empty, a 0 return value indicates that the connection\n was shutdown at the other end.\n \"\"\"\n self._checkClosed()\n self._checkReadable()\n if self._timeout_occurred:\n raise OSError(\"cannot read from timed out object\")\n while True:\n try:\n return self._sock.recv_into(b)\n except timeout:\n self._timeout_occurred = True\n raise\n except error as e:\n if e.errno in _blocking_errnos:\n return None\n raise\n\n def write(self, b):\n \"\"\"Write the given bytes or bytearray object *b* to the socket\n and return the number of bytes written. This can be less than\n len(b) if not all data could be written. If the socket is\n non-blocking and no bytes could be written None is returned.\n \"\"\"\n self._checkClosed()\n self._checkWritable()\n try:\n return self._sock.send(b)\n except error as e:\n # XXX what about EINTR?\n if e.errno in _blocking_errnos:\n return None\n raise\n\n def readable(self):\n \"\"\"True if the SocketIO is open for reading.\n \"\"\"\n if self.closed:\n raise ValueError(\"I/O operation on closed socket.\")\n return self._reading\n\n def writable(self):\n \"\"\"True if the SocketIO is open for writing.\n \"\"\"\n if self.closed:\n raise ValueError(\"I/O operation on closed socket.\")\n return self._writing\n\n def seekable(self):\n \"\"\"True if the SocketIO is open for seeking.\n \"\"\"\n if self.closed:\n raise ValueError(\"I/O operation on closed socket.\")\n return super().seekable()\n\n def fileno(self):\n \"\"\"Return the file descriptor of the underlying socket.\n \"\"\"\n self._checkClosed()\n return self._sock.fileno()\n\n @property\n def name(self):\n if not self.closed:\n return self.fileno()\n else:\n return -1\n\n @property\n def mode(self):\n return self._mode\n\n def close(self):\n \"\"\"Close the SocketIO object. This doesn't close the underlying\n socket, except if all references to it have disappeared.\n \"\"\"\n if self.closed:\n return\n io.RawIOBase.close(self)\n self._sock._decref_socketios()\n self._sock = None\n\n\ndef getfqdn(name=''):\n \"\"\"Get fully qualified domain name from name.\n\n An empty argument is interpreted as meaning the local host.\n\n First the hostname returned by gethostbyaddr() is checked, then\n possibly existing aliases. In case no FQDN is available and `name`\n was given, it is returned unchanged. If `name` was empty, '0.0.0.0' or '::',\n hostname from gethostname() is returned.\n \"\"\"\n name = name.strip()\n if not name or name in ('0.0.0.0', '::'):\n name = gethostname()\n try:\n hostname, aliases, ipaddrs = gethostbyaddr(name)\n except error:\n pass\n else:\n aliases.insert(0, hostname)\n for name in aliases:\n if '.' in name:\n break\n else:\n name = hostname\n return name\n\n\n_GLOBAL_DEFAULT_TIMEOUT = object()\n\ndef create_connection(address, timeout=_GLOBAL_DEFAULT_TIMEOUT,\n source_address=None, *, all_errors=False):\n \"\"\"Connect to *address* and return the socket object.\n\n Convenience function. Connect to *address* (a 2-tuple ``(host,\n port)``) and return the socket object. Passing the optional\n *timeout* parameter will set the timeout on the socket instance\n before attempting to connect. If no *timeout* is supplied, the\n global default timeout setting returned by :func:`getdefaulttimeout`\n is used. If *source_address* is set it must be a tuple of (host, port)\n for the socket to bind as a source address before making the connection.\n A host of '' or port 0 tells the OS to use the default. When a connection\n cannot be created, raises the last error if *all_errors* is False,\n and an ExceptionGroup of all errors if *all_errors* is True.\n \"\"\"\n\n host, port = address\n exceptions = []\n for res in getaddrinfo(host, port, 0, SOCK_STREAM):\n af, socktype, proto, canonname, sa = res\n sock = None\n try:\n sock = socket(af, socktype, proto)\n if timeout is not _GLOBAL_DEFAULT_TIMEOUT:\n sock.settimeout(timeout)\n if source_address:\n sock.bind(source_address)\n sock.connect(sa)\n # Break explicitly a reference cycle\n exceptions.clear()\n return sock\n\n except error as exc:\n if not all_errors:\n exceptions.clear() # raise only the last error\n exceptions.append(exc)\n if sock is not None:\n sock.close()\n\n if len(exceptions):\n try:\n if not all_errors:\n raise exceptions[0]\n raise ExceptionGroup(\"create_connection failed\", exceptions)\n finally:\n # Break explicitly a reference cycle\n exceptions.clear()\n else:\n raise error(\"getaddrinfo returns an empty list\")\n\n\ndef has_dualstack_ipv6():\n \"\"\"Return True if the platform supports creating a SOCK_STREAM socket\n which can handle both AF_INET and AF_INET6 (IPv4 / IPv6) connections.\n \"\"\"\n if not has_ipv6 \\\n or not hasattr(_socket, 'IPPROTO_IPV6') \\\n or not hasattr(_socket, 'IPV6_V6ONLY'):\n return False\n try:\n with socket(AF_INET6, SOCK_STREAM) as sock:\n sock.setsockopt(IPPROTO_IPV6, IPV6_V6ONLY, 0)\n return True\n except error:\n return False\n\n\ndef create_server(address, *, family=AF_INET, backlog=None, reuse_port=False,\n dualstack_ipv6=False):\n \"\"\"Convenience function which creates a SOCK_STREAM type socket\n bound to *address* (a 2-tuple (host, port)) and return the socket\n object.\n\n *family* should be either AF_INET or AF_INET6.\n *backlog* is the queue size passed to socket.listen().\n *reuse_port* dictates whether to use the SO_REUSEPORT socket option.\n *dualstack_ipv6*: if true and the platform supports it, it will\n create an AF_INET6 socket able to accept both IPv4 or IPv6\n connections. When false it will explicitly disable this option on\n platforms that enable it by default (e.g. Linux).\n\n >>> with create_server(('', 8000)) as server:\n ... while True:\n ... conn, addr = server.accept()\n ... # handle new connection\n \"\"\"\n if reuse_port and not hasattr(_socket, \"SO_REUSEPORT\"):\n raise ValueError(\"SO_REUSEPORT not supported on this platform\")\n if dualstack_ipv6:\n if not has_dualstack_ipv6():\n raise ValueError(\"dualstack_ipv6 not supported on this platform\")\n if family != AF_INET6:\n raise ValueError(\"dualstack_ipv6 requires AF_INET6 family\")\n sock = socket(family, SOCK_STREAM)\n try:\n # Note about Windows. We don't set SO_REUSEADDR because:\n # 1) It's unnecessary: bind() will succeed even in case of a\n # previous closed socket on the same address and still in\n # TIME_WAIT state.\n # 2) If set, another socket is free to bind() on the same\n # address, effectively preventing this one from accepting\n # connections. Also, it may set the process in a state where\n # it'll no longer respond to any signals or graceful kills.\n # See: https://learn.microsoft.com/windows/win32/winsock/using-so-reuseaddr-and-so-exclusiveaddruse\n if os.name not in ('nt', 'cygwin') and \\\n hasattr(_socket, 'SO_REUSEADDR'):\n try:\n sock.setsockopt(SOL_SOCKET, SO_REUSEADDR, 1)\n except error:\n # Fail later on bind(), for platforms which may not\n # support this option.\n pass\n if reuse_port:\n sock.setsockopt(SOL_SOCKET, SO_REUSEPORT, 1)\n if has_ipv6 and family == AF_INET6:\n if dualstack_ipv6:\n sock.setsockopt(IPPROTO_IPV6, IPV6_V6ONLY, 0)\n elif hasattr(_socket, \"IPV6_V6ONLY\") and \\\n hasattr(_socket, \"IPPROTO_IPV6\"):\n sock.setsockopt(IPPROTO_IPV6, IPV6_V6ONLY, 1)\n try:\n sock.bind(address)\n except error as err:\n msg = '%s (while attempting to bind on address %r)' % \\\n (err.strerror, address)\n raise error(err.errno, msg) from None\n if backlog is None:\n sock.listen()\n else:\n sock.listen(backlog)\n return sock\n except error:\n sock.close()\n raise\n\n\ndef getaddrinfo(host, port, family=0, type=0, proto=0, flags=0):\n \"\"\"Resolve host and port into list of address info entries.\n\n Translate the host/port argument into a sequence of 5-tuples that contain\n all the necessary arguments for creating a socket connected to that service.\n host is a domain name, a string representation of an IPv4/v6 address or\n None. port is a string service name such as 'http', a numeric port number or\n None. By passing None as the value of host and port, you can pass NULL to\n the underlying C API.\n\n The family, type and proto arguments can be optionally specified in order to\n narrow the list of addresses returned. Passing zero as a value for each of\n these arguments selects the full range of results.\n \"\"\"\n # We override this function since we want to translate the numeric family\n # and socket type values to enum constants.\n addrlist = []\n for res in _socket.getaddrinfo(host, port, family, type, proto, flags):\n af, socktype, proto, canonname, sa = res\n addrlist.append((_intenum_converter(af, AddressFamily),\n _intenum_converter(socktype, SocketKind),\n proto, canonname, sa))\n return addrlist\n", 968], "/usr/lib/python3.12/asyncio/selector_events.py": ["\"\"\"Event loop using a selector and related classes.\n\nA selector is a \"notify-when-ready\" multiplexer. For a subclass which\nalso includes support for signal handling, see the unix_events sub-module.\n\"\"\"\n\n__all__ = 'BaseSelectorEventLoop',\n\nimport collections\nimport errno\nimport functools\nimport itertools\nimport os\nimport selectors\nimport socket\nimport warnings\nimport weakref\ntry:\n import ssl\nexcept ImportError: # pragma: no cover\n ssl = None\n\nfrom . import base_events\nfrom . import constants\nfrom . import events\nfrom . import futures\nfrom . import protocols\nfrom . import sslproto\nfrom . import transports\nfrom . import trsock\nfrom .log import logger\n\n_HAS_SENDMSG = hasattr(socket.socket, 'sendmsg')\n\nif _HAS_SENDMSG:\n try:\n SC_IOV_MAX = os.sysconf('SC_IOV_MAX')\n except OSError:\n # Fallback to send\n _HAS_SENDMSG = False\n\ndef _test_selector_event(selector, fd, event):\n # Test if the selector is monitoring 'event' events\n # for the file descriptor 'fd'.\n try:\n key = selector.get_key(fd)\n except KeyError:\n return False\n else:\n return bool(key.events & event)\n\n\nclass BaseSelectorEventLoop(base_events.BaseEventLoop):\n \"\"\"Selector event loop.\n\n See events.EventLoop for API specification.\n \"\"\"\n\n def __init__(self, selector=None):\n super().__init__()\n\n if selector is None:\n selector = selectors.DefaultSelector()\n logger.debug('Using selector: %s', selector.__class__.__name__)\n self._selector = selector\n self._make_self_pipe()\n self._transports = weakref.WeakValueDictionary()\n\n def _make_socket_transport(self, sock, protocol, waiter=None, *,\n extra=None, server=None):\n self._ensure_fd_no_transport(sock)\n return _SelectorSocketTransport(self, sock, protocol, waiter,\n extra, server)\n\n def _make_ssl_transport(\n self, rawsock, protocol, sslcontext, waiter=None,\n *, server_side=False, server_hostname=None,\n extra=None, server=None,\n ssl_handshake_timeout=constants.SSL_HANDSHAKE_TIMEOUT,\n ssl_shutdown_timeout=constants.SSL_SHUTDOWN_TIMEOUT,\n ):\n self._ensure_fd_no_transport(rawsock)\n ssl_protocol = sslproto.SSLProtocol(\n self, protocol, sslcontext, waiter,\n server_side, server_hostname,\n ssl_handshake_timeout=ssl_handshake_timeout,\n ssl_shutdown_timeout=ssl_shutdown_timeout\n )\n _SelectorSocketTransport(self, rawsock, ssl_protocol,\n extra=extra, server=server)\n return ssl_protocol._app_transport\n\n def _make_datagram_transport(self, sock, protocol,\n address=None, waiter=None, extra=None):\n self._ensure_fd_no_transport(sock)\n return _SelectorDatagramTransport(self, sock, protocol,\n address, waiter, extra)\n\n def close(self):\n if self.is_running():\n raise RuntimeError(\"Cannot close a running event loop\")\n if self.is_closed():\n return\n self._close_self_pipe()\n super().close()\n if self._selector is not None:\n self._selector.close()\n self._selector = None\n\n def _close_self_pipe(self):\n self._remove_reader(self._ssock.fileno())\n self._ssock.close()\n self._ssock = None\n self._csock.close()\n self._csock = None\n self._internal_fds -= 1\n\n def _make_self_pipe(self):\n # A self-socket, really. :-)\n self._ssock, self._csock = socket.socketpair()\n self._ssock.setblocking(False)\n self._csock.setblocking(False)\n self._internal_fds += 1\n self._add_reader(self._ssock.fileno(), self._read_from_self)\n\n def _process_self_data(self, data):\n pass\n\n def _read_from_self(self):\n while True:\n try:\n data = self._ssock.recv(4096)\n if not data:\n break\n self._process_self_data(data)\n except InterruptedError:\n continue\n except BlockingIOError:\n break\n\n def _write_to_self(self):\n # This may be called from a different thread, possibly after\n # _close_self_pipe() has been called or even while it is\n # running. Guard for self._csock being None or closed. When\n # a socket is closed, send() raises OSError (with errno set to\n # EBADF, but let's not rely on the exact error code).\n csock = self._csock\n if csock is None:\n return\n\n try:\n csock.send(b'\\0')\n except OSError:\n if self._debug:\n logger.debug(\"Fail to write a null byte into the \"\n \"self-pipe socket\",\n exc_info=True)\n\n def _start_serving(self, protocol_factory, sock,\n sslcontext=None, server=None, backlog=100,\n ssl_handshake_timeout=constants.SSL_HANDSHAKE_TIMEOUT,\n ssl_shutdown_timeout=constants.SSL_SHUTDOWN_TIMEOUT):\n self._add_reader(sock.fileno(), self._accept_connection,\n protocol_factory, sock, sslcontext, server, backlog,\n ssl_handshake_timeout, ssl_shutdown_timeout)\n\n def _accept_connection(\n self, protocol_factory, sock,\n sslcontext=None, server=None, backlog=100,\n ssl_handshake_timeout=constants.SSL_HANDSHAKE_TIMEOUT,\n ssl_shutdown_timeout=constants.SSL_SHUTDOWN_TIMEOUT):\n # This method is only called once for each event loop tick where the\n # listening socket has triggered an EVENT_READ. There may be multiple\n # connections waiting for an .accept() so it is called in a loop.\n # See https://bugs.python.org/issue27906 for more details.\n for _ in range(backlog):\n try:\n conn, addr = sock.accept()\n if self._debug:\n logger.debug(\"%r got a new connection from %r: %r\",\n server, addr, conn)\n conn.setblocking(False)\n except (BlockingIOError, InterruptedError, ConnectionAbortedError):\n # Early exit because the socket accept buffer is empty.\n return None\n except OSError as exc:\n # There's nowhere to send the error, so just log it.\n if exc.errno in (errno.EMFILE, errno.ENFILE,\n errno.ENOBUFS, errno.ENOMEM):\n # Some platforms (e.g. Linux keep reporting the FD as\n # ready, so we remove the read handler temporarily.\n # We'll try again in a while.\n self.call_exception_handler({\n 'message': 'socket.accept() out of system resource',\n 'exception': exc,\n 'socket': trsock.TransportSocket(sock),\n })\n self._remove_reader(sock.fileno())\n self.call_later(constants.ACCEPT_RETRY_DELAY,\n self._start_serving,\n protocol_factory, sock, sslcontext, server,\n backlog, ssl_handshake_timeout,\n ssl_shutdown_timeout)\n else:\n raise # The event loop will catch, log and ignore it.\n else:\n extra = {'peername': addr}\n accept = self._accept_connection2(\n protocol_factory, conn, extra, sslcontext, server,\n ssl_handshake_timeout, ssl_shutdown_timeout)\n self.create_task(accept)\n\n async def _accept_connection2(\n self, protocol_factory, conn, extra,\n sslcontext=None, server=None,\n ssl_handshake_timeout=constants.SSL_HANDSHAKE_TIMEOUT,\n ssl_shutdown_timeout=constants.SSL_SHUTDOWN_TIMEOUT):\n protocol = None\n transport = None\n try:\n protocol = protocol_factory()\n waiter = self.create_future()\n if sslcontext:\n transport = self._make_ssl_transport(\n conn, protocol, sslcontext, waiter=waiter,\n server_side=True, extra=extra, server=server,\n ssl_handshake_timeout=ssl_handshake_timeout,\n ssl_shutdown_timeout=ssl_shutdown_timeout)\n else:\n transport = self._make_socket_transport(\n conn, protocol, waiter=waiter, extra=extra,\n server=server)\n\n try:\n await waiter\n except BaseException:\n transport.close()\n # gh-109534: When an exception is raised by the SSLProtocol object the\n # exception set in this future can keep the protocol object alive and\n # cause a reference cycle.\n waiter = None\n raise\n # It's now up to the protocol to handle the connection.\n\n except (SystemExit, KeyboardInterrupt):\n raise\n except BaseException as exc:\n if self._debug:\n context = {\n 'message':\n 'Error on transport creation for incoming connection',\n 'exception': exc,\n }\n if protocol is not None:\n context['protocol'] = protocol\n if transport is not None:\n context['transport'] = transport\n self.call_exception_handler(context)\n\n def _ensure_fd_no_transport(self, fd):\n fileno = fd\n if not isinstance(fileno, int):\n try:\n fileno = int(fileno.fileno())\n except (AttributeError, TypeError, ValueError):\n # This code matches selectors._fileobj_to_fd function.\n raise ValueError(f\"Invalid file object: {fd!r}\") from None\n try:\n transport = self._transports[fileno]\n except KeyError:\n pass\n else:\n if not transport.is_closing():\n raise RuntimeError(\n f'File descriptor {fd!r} is used by transport '\n f'{transport!r}')\n\n def _add_reader(self, fd, callback, *args):\n self._check_closed()\n handle = events.Handle(callback, args, self, None)\n try:\n key = self._selector.get_key(fd)\n except KeyError:\n self._selector.register(fd, selectors.EVENT_READ,\n (handle, None))\n else:\n mask, (reader, writer) = key.events, key.data\n self._selector.modify(fd, mask | selectors.EVENT_READ,\n (handle, writer))\n if reader is not None:\n reader.cancel()\n return handle\n\n def _remove_reader(self, fd):\n if self.is_closed():\n return False\n try:\n key = self._selector.get_key(fd)\n except KeyError:\n return False\n else:\n mask, (reader, writer) = key.events, key.data\n mask &= ~selectors.EVENT_READ\n if not mask:\n self._selector.unregister(fd)\n else:\n self._selector.modify(fd, mask, (None, writer))\n\n if reader is not None:\n reader.cancel()\n return True\n else:\n return False\n\n def _add_writer(self, fd, callback, *args):\n self._check_closed()\n handle = events.Handle(callback, args, self, None)\n try:\n key = self._selector.get_key(fd)\n except KeyError:\n self._selector.register(fd, selectors.EVENT_WRITE,\n (None, handle))\n else:\n mask, (reader, writer) = key.events, key.data\n self._selector.modify(fd, mask | selectors.EVENT_WRITE,\n (reader, handle))\n if writer is not None:\n writer.cancel()\n return handle\n\n def _remove_writer(self, fd):\n \"\"\"Remove a writer callback.\"\"\"\n if self.is_closed():\n return False\n try:\n key = self._selector.get_key(fd)\n except KeyError:\n return False\n else:\n mask, (reader, writer) = key.events, key.data\n # Remove both writer and connector.\n mask &= ~selectors.EVENT_WRITE\n if not mask:\n self._selector.unregister(fd)\n else:\n self._selector.modify(fd, mask, (reader, None))\n\n if writer is not None:\n writer.cancel()\n return True\n else:\n return False\n\n def add_reader(self, fd, callback, *args):\n \"\"\"Add a reader callback.\"\"\"\n self._ensure_fd_no_transport(fd)\n self._add_reader(fd, callback, *args)\n\n def remove_reader(self, fd):\n \"\"\"Remove a reader callback.\"\"\"\n self._ensure_fd_no_transport(fd)\n return self._remove_reader(fd)\n\n def add_writer(self, fd, callback, *args):\n \"\"\"Add a writer callback..\"\"\"\n self._ensure_fd_no_transport(fd)\n self._add_writer(fd, callback, *args)\n\n def remove_writer(self, fd):\n \"\"\"Remove a writer callback.\"\"\"\n self._ensure_fd_no_transport(fd)\n return self._remove_writer(fd)\n\n async def sock_recv(self, sock, n):\n \"\"\"Receive data from the socket.\n\n The return value is a bytes object representing the data received.\n The maximum amount of data to be received at once is specified by\n nbytes.\n \"\"\"\n base_events._check_ssl_socket(sock)\n if self._debug and sock.gettimeout() != 0:\n raise ValueError(\"the socket must be non-blocking\")\n try:\n return sock.recv(n)\n except (BlockingIOError, InterruptedError):\n pass\n fut = self.create_future()\n fd = sock.fileno()\n self._ensure_fd_no_transport(fd)\n handle = self._add_reader(fd, self._sock_recv, fut, sock, n)\n fut.add_done_callback(\n functools.partial(self._sock_read_done, fd, handle=handle))\n return await fut\n\n def _sock_read_done(self, fd, fut, handle=None):\n if handle is None or not handle.cancelled():\n self.remove_reader(fd)\n\n def _sock_recv(self, fut, sock, n):\n # _sock_recv() can add itself as an I/O callback if the operation can't\n # be done immediately. Don't use it directly, call sock_recv().\n if fut.done():\n return\n try:\n data = sock.recv(n)\n except (BlockingIOError, InterruptedError):\n return # try again next time\n except (SystemExit, KeyboardInterrupt):\n raise\n except BaseException as exc:\n fut.set_exception(exc)\n else:\n fut.set_result(data)\n\n async def sock_recv_into(self, sock, buf):\n \"\"\"Receive data from the socket.\n\n The received data is written into *buf* (a writable buffer).\n The return value is the number of bytes written.\n \"\"\"\n base_events._check_ssl_socket(sock)\n if self._debug and sock.gettimeout() != 0:\n raise ValueError(\"the socket must be non-blocking\")\n try:\n return sock.recv_into(buf)\n except (BlockingIOError, InterruptedError):\n pass\n fut = self.create_future()\n fd = sock.fileno()\n self._ensure_fd_no_transport(fd)\n handle = self._add_reader(fd, self._sock_recv_into, fut, sock, buf)\n fut.add_done_callback(\n functools.partial(self._sock_read_done, fd, handle=handle))\n return await fut\n\n def _sock_recv_into(self, fut, sock, buf):\n # _sock_recv_into() can add itself as an I/O callback if the operation\n # can't be done immediately. Don't use it directly, call\n # sock_recv_into().\n if fut.done():\n return\n try:\n nbytes = sock.recv_into(buf)\n except (BlockingIOError, InterruptedError):\n return # try again next time\n except (SystemExit, KeyboardInterrupt):\n raise\n except BaseException as exc:\n fut.set_exception(exc)\n else:\n fut.set_result(nbytes)\n\n async def sock_recvfrom(self, sock, bufsize):\n \"\"\"Receive a datagram from a datagram socket.\n\n The return value is a tuple of (bytes, address) representing the\n datagram received and the address it came from.\n The maximum amount of data to be received at once is specified by\n nbytes.\n \"\"\"\n base_events._check_ssl_socket(sock)\n if self._debug and sock.gettimeout() != 0:\n raise ValueError(\"the socket must be non-blocking\")\n try:\n return sock.recvfrom(bufsize)\n except (BlockingIOError, InterruptedError):\n pass\n fut = self.create_future()\n fd = sock.fileno()\n self._ensure_fd_no_transport(fd)\n handle = self._add_reader(fd, self._sock_recvfrom, fut, sock, bufsize)\n fut.add_done_callback(\n functools.partial(self._sock_read_done, fd, handle=handle))\n return await fut\n\n def _sock_recvfrom(self, fut, sock, bufsize):\n # _sock_recvfrom() can add itself as an I/O callback if the operation\n # can't be done immediately. Don't use it directly, call\n # sock_recvfrom().\n if fut.done():\n return\n try:\n result = sock.recvfrom(bufsize)\n except (BlockingIOError, InterruptedError):\n return # try again next time\n except (SystemExit, KeyboardInterrupt):\n raise\n except BaseException as exc:\n fut.set_exception(exc)\n else:\n fut.set_result(result)\n\n async def sock_recvfrom_into(self, sock, buf, nbytes=0):\n \"\"\"Receive data from the socket.\n\n The received data is written into *buf* (a writable buffer).\n The return value is a tuple of (number of bytes written, address).\n \"\"\"\n base_events._check_ssl_socket(sock)\n if self._debug and sock.gettimeout() != 0:\n raise ValueError(\"the socket must be non-blocking\")\n if not nbytes:\n nbytes = len(buf)\n\n try:\n return sock.recvfrom_into(buf, nbytes)\n except (BlockingIOError, InterruptedError):\n pass\n fut = self.create_future()\n fd = sock.fileno()\n self._ensure_fd_no_transport(fd)\n handle = self._add_reader(fd, self._sock_recvfrom_into, fut, sock, buf,\n nbytes)\n fut.add_done_callback(\n functools.partial(self._sock_read_done, fd, handle=handle))\n return await fut\n\n def _sock_recvfrom_into(self, fut, sock, buf, bufsize):\n # _sock_recv_into() can add itself as an I/O callback if the operation\n # can't be done immediately. Don't use it directly, call\n # sock_recv_into().\n if fut.done():\n return\n try:\n result = sock.recvfrom_into(buf, bufsize)\n except (BlockingIOError, InterruptedError):\n return # try again next time\n except (SystemExit, KeyboardInterrupt):\n raise\n except BaseException as exc:\n fut.set_exception(exc)\n else:\n fut.set_result(result)\n\n async def sock_sendall(self, sock, data):\n \"\"\"Send data to the socket.\n\n The socket must be connected to a remote socket. This method continues\n to send data from data until either all data has been sent or an\n error occurs. None is returned on success. On error, an exception is\n raised, and there is no way to determine how much data, if any, was\n successfully processed by the receiving end of the connection.\n \"\"\"\n base_events._check_ssl_socket(sock)\n if self._debug and sock.gettimeout() != 0:\n raise ValueError(\"the socket must be non-blocking\")\n try:\n n = sock.send(data)\n except (BlockingIOError, InterruptedError):\n n = 0\n\n if n == len(data):\n # all data sent\n return\n\n fut = self.create_future()\n fd = sock.fileno()\n self._ensure_fd_no_transport(fd)\n # use a trick with a list in closure to store a mutable state\n handle = self._add_writer(fd, self._sock_sendall, fut, sock,\n memoryview(data), [n])\n fut.add_done_callback(\n functools.partial(self._sock_write_done, fd, handle=handle))\n return await fut\n\n def _sock_sendall(self, fut, sock, view, pos):\n if fut.done():\n # Future cancellation can be scheduled on previous loop iteration\n return\n start = pos[0]\n try:\n n = sock.send(view[start:])\n except (BlockingIOError, InterruptedError):\n return\n except (SystemExit, KeyboardInterrupt):\n raise\n except BaseException as exc:\n fut.set_exception(exc)\n return\n\n start += n\n\n if start == len(view):\n fut.set_result(None)\n else:\n pos[0] = start\n\n async def sock_sendto(self, sock, data, address):\n \"\"\"Send data to the socket.\n\n The socket must be connected to a remote socket. This method continues\n to send data from data until either all data has been sent or an\n error occurs. None is returned on success. On error, an exception is\n raised, and there is no way to determine how much data, if any, was\n successfully processed by the receiving end of the connection.\n \"\"\"\n base_events._check_ssl_socket(sock)\n if self._debug and sock.gettimeout() != 0:\n raise ValueError(\"the socket must be non-blocking\")\n try:\n return sock.sendto(data, address)\n except (BlockingIOError, InterruptedError):\n pass\n\n fut = self.create_future()\n fd = sock.fileno()\n self._ensure_fd_no_transport(fd)\n # use a trick with a list in closure to store a mutable state\n handle = self._add_writer(fd, self._sock_sendto, fut, sock, data,\n address)\n fut.add_done_callback(\n functools.partial(self._sock_write_done, fd, handle=handle))\n return await fut\n\n def _sock_sendto(self, fut, sock, data, address):\n if fut.done():\n # Future cancellation can be scheduled on previous loop iteration\n return\n try:\n n = sock.sendto(data, 0, address)\n except (BlockingIOError, InterruptedError):\n return\n except (SystemExit, KeyboardInterrupt):\n raise\n except BaseException as exc:\n fut.set_exception(exc)\n else:\n fut.set_result(n)\n\n async def sock_connect(self, sock, address):\n \"\"\"Connect to a remote socket at address.\n\n This method is a coroutine.\n \"\"\"\n base_events._check_ssl_socket(sock)\n if self._debug and sock.gettimeout() != 0:\n raise ValueError(\"the socket must be non-blocking\")\n\n if sock.family == socket.AF_INET or (\n base_events._HAS_IPv6 and sock.family == socket.AF_INET6):\n resolved = await self._ensure_resolved(\n address, family=sock.family, type=sock.type, proto=sock.proto,\n loop=self,\n )\n _, _, _, _, address = resolved[0]\n\n fut = self.create_future()\n self._sock_connect(fut, sock, address)\n try:\n return await fut\n finally:\n # Needed to break cycles when an exception occurs.\n fut = None\n\n def _sock_connect(self, fut, sock, address):\n fd = sock.fileno()\n try:\n sock.connect(address)\n except (BlockingIOError, InterruptedError):\n # Issue #23618: When the C function connect() fails with EINTR, the\n # connection runs in background. We have to wait until the socket\n # becomes writable to be notified when the connection succeed or\n # fails.\n self._ensure_fd_no_transport(fd)\n handle = self._add_writer(\n fd, self._sock_connect_cb, fut, sock, address)\n fut.add_done_callback(\n functools.partial(self._sock_write_done, fd, handle=handle))\n except (SystemExit, KeyboardInterrupt):\n raise\n except BaseException as exc:\n fut.set_exception(exc)\n else:\n fut.set_result(None)\n finally:\n fut = None\n\n def _sock_write_done(self, fd, fut, handle=None):\n if handle is None or not handle.cancelled():\n self.remove_writer(fd)\n\n def _sock_connect_cb(self, fut, sock, address):\n if fut.done():\n return\n\n try:\n err = sock.getsockopt(socket.SOL_SOCKET, socket.SO_ERROR)\n if err != 0:\n # Jump to any except clause below.\n raise OSError(err, f'Connect call failed {address}')\n except (BlockingIOError, InterruptedError):\n # socket is still registered, the callback will be retried later\n pass\n except (SystemExit, KeyboardInterrupt):\n raise\n except BaseException as exc:\n fut.set_exception(exc)\n else:\n fut.set_result(None)\n finally:\n fut = None\n\n async def sock_accept(self, sock):\n \"\"\"Accept a connection.\n\n The socket must be bound to an address and listening for connections.\n The return value is a pair (conn, address) where conn is a new socket\n object usable to send and receive data on the connection, and address\n is the address bound to the socket on the other end of the connection.\n \"\"\"\n base_events._check_ssl_socket(sock)\n if self._debug and sock.gettimeout() != 0:\n raise ValueError(\"the socket must be non-blocking\")\n fut = self.create_future()\n self._sock_accept(fut, sock)\n return await fut\n\n def _sock_accept(self, fut, sock):\n fd = sock.fileno()\n try:\n conn, address = sock.accept()\n conn.setblocking(False)\n except (BlockingIOError, InterruptedError):\n self._ensure_fd_no_transport(fd)\n handle = self._add_reader(fd, self._sock_accept, fut, sock)\n fut.add_done_callback(\n functools.partial(self._sock_read_done, fd, handle=handle))\n except (SystemExit, KeyboardInterrupt):\n raise\n except BaseException as exc:\n fut.set_exception(exc)\n else:\n fut.set_result((conn, address))\n\n async def _sendfile_native(self, transp, file, offset, count):\n del self._transports[transp._sock_fd]\n resume_reading = transp.is_reading()\n transp.pause_reading()\n await transp._make_empty_waiter()\n try:\n return await self.sock_sendfile(transp._sock, file, offset, count,\n fallback=False)\n finally:\n transp._reset_empty_waiter()\n if resume_reading:\n transp.resume_reading()\n self._transports[transp._sock_fd] = transp\n\n def _process_events(self, event_list):\n for key, mask in event_list:\n fileobj, (reader, writer) = key.fileobj, key.data\n if mask & selectors.EVENT_READ and reader is not None:\n if reader._cancelled:\n self._remove_reader(fileobj)\n else:\n self._add_callback(reader)\n if mask & selectors.EVENT_WRITE and writer is not None:\n if writer._cancelled:\n self._remove_writer(fileobj)\n else:\n self._add_callback(writer)\n\n def _stop_serving(self, sock):\n self._remove_reader(sock.fileno())\n sock.close()\n\n\nclass _SelectorTransport(transports._FlowControlMixin,\n transports.Transport):\n\n max_size = 256 * 1024 # Buffer size passed to recv().\n\n # Attribute used in the destructor: it must be set even if the constructor\n # is not called (see _SelectorSslTransport which may start by raising an\n # exception)\n _sock = None\n\n def __init__(self, loop, sock, protocol, extra=None, server=None):\n super().__init__(extra, loop)\n self._extra['socket'] = trsock.TransportSocket(sock)\n try:\n self._extra['sockname'] = sock.getsockname()\n except OSError:\n self._extra['sockname'] = None\n if 'peername' not in self._extra:\n try:\n self._extra['peername'] = sock.getpeername()\n except socket.error:\n self._extra['peername'] = None\n self._sock = sock\n self._sock_fd = sock.fileno()\n\n self._protocol_connected = False\n self.set_protocol(protocol)\n\n self._server = server\n self._buffer = collections.deque()\n self._conn_lost = 0 # Set when call to connection_lost scheduled.\n self._closing = False # Set when close() called.\n self._paused = False # Set when pause_reading() called\n\n if self._server is not None:\n self._server._attach()\n loop._transports[self._sock_fd] = self\n\n def __repr__(self):\n info = [self.__class__.__name__]\n if self._sock is None:\n info.append('closed')\n elif self._closing:\n info.append('closing')\n info.append(f'fd={self._sock_fd}')\n # test if the transport was closed\n if self._loop is not None and not self._loop.is_closed():\n polling = _test_selector_event(self._loop._selector,\n self._sock_fd, selectors.EVENT_READ)\n if polling:\n info.append('read=polling')\n else:\n info.append('read=idle')\n\n polling = _test_selector_event(self._loop._selector,\n self._sock_fd,\n selectors.EVENT_WRITE)\n if polling:\n state = 'polling'\n else:\n state = 'idle'\n\n bufsize = self.get_write_buffer_size()\n info.append(f'write=<{state}, bufsize={bufsize}>')\n return '<{}>'.format(' '.join(info))\n\n def abort(self):\n self._force_close(None)\n\n def set_protocol(self, protocol):\n self._protocol = protocol\n self._protocol_connected = True\n\n def get_protocol(self):\n return self._protocol\n\n def is_closing(self):\n return self._closing\n\n def is_reading(self):\n return not self.is_closing() and not self._paused\n\n def pause_reading(self):\n if not self.is_reading():\n return\n self._paused = True\n self._loop._remove_reader(self._sock_fd)\n if self._loop.get_debug():\n logger.debug(\"%r pauses reading\", self)\n\n def resume_reading(self):\n if self._closing or not self._paused:\n return\n self._paused = False\n self._add_reader(self._sock_fd, self._read_ready)\n if self._loop.get_debug():\n logger.debug(\"%r resumes reading\", self)\n\n def close(self):\n if self._closing:\n return\n self._closing = True\n self._loop._remove_reader(self._sock_fd)\n if not self._buffer:\n self._conn_lost += 1\n self._loop._remove_writer(self._sock_fd)\n self._loop.call_soon(self._call_connection_lost, None)\n\n def __del__(self, _warn=warnings.warn):\n if self._sock is not None:\n _warn(f\"unclosed transport {self!r}\", ResourceWarning, source=self)\n self._sock.close()\n\n def _fatal_error(self, exc, message='Fatal error on transport'):\n # Should be called from exception handler only.\n if isinstance(exc, OSError):\n if self._loop.get_debug():\n logger.debug(\"%r: %s\", self, message, exc_info=True)\n else:\n self._loop.call_exception_handler({\n 'message': message,\n 'exception': exc,\n 'transport': self,\n 'protocol': self._protocol,\n })\n self._force_close(exc)\n\n def _force_close(self, exc):\n if self._conn_lost:\n return\n if self._buffer:\n self._buffer.clear()\n self._loop._remove_writer(self._sock_fd)\n if not self._closing:\n self._closing = True\n self._loop._remove_reader(self._sock_fd)\n self._conn_lost += 1\n self._loop.call_soon(self._call_connection_lost, exc)\n\n def _call_connection_lost(self, exc):\n try:\n if self._protocol_connected:\n self._protocol.connection_lost(exc)\n finally:\n self._sock.close()\n self._sock = None\n self._protocol = None\n self._loop = None\n server = self._server\n if server is not None:\n server._detach()\n self._server = None\n\n def get_write_buffer_size(self):\n return sum(map(len, self._buffer))\n\n def _add_reader(self, fd, callback, *args):\n if not self.is_reading():\n return\n self._loop._add_reader(fd, callback, *args)\n\n\nclass _SelectorSocketTransport(_SelectorTransport):\n\n _start_tls_compatible = True\n _sendfile_compatible = constants._SendfileMode.TRY_NATIVE\n\n def __init__(self, loop, sock, protocol, waiter=None,\n extra=None, server=None):\n\n self._read_ready_cb = None\n super().__init__(loop, sock, protocol, extra, server)\n self._eof = False\n self._empty_waiter = None\n if _HAS_SENDMSG:\n self._write_ready = self._write_sendmsg\n else:\n self._write_ready = self._write_send\n # Disable the Nagle algorithm -- small writes will be\n # sent without waiting for the TCP ACK. This generally\n # decreases the latency (in some cases significantly.)\n base_events._set_nodelay(self._sock)\n\n self._loop.call_soon(self._protocol.connection_made, self)\n # only start reading when connection_made() has been called\n self._loop.call_soon(self._add_reader,\n self._sock_fd, self._read_ready)\n if waiter is not None:\n # only wake up the waiter when connection_made() has been called\n self._loop.call_soon(futures._set_result_unless_cancelled,\n waiter, None)\n\n def set_protocol(self, protocol):\n if isinstance(protocol, protocols.BufferedProtocol):\n self._read_ready_cb = self._read_ready__get_buffer\n else:\n self._read_ready_cb = self._read_ready__data_received\n\n super().set_protocol(protocol)\n\n def _read_ready(self):\n self._read_ready_cb()\n\n def _read_ready__get_buffer(self):\n if self._conn_lost:\n return\n\n try:\n buf = self._protocol.get_buffer(-1)\n if not len(buf):\n raise RuntimeError('get_buffer() returned an empty buffer')\n except (SystemExit, KeyboardInterrupt):\n raise\n except BaseException as exc:\n self._fatal_error(\n exc, 'Fatal error: protocol.get_buffer() call failed.')\n return\n\n try:\n nbytes = self._sock.recv_into(buf)\n except (BlockingIOError, InterruptedError):\n return\n except (SystemExit, KeyboardInterrupt):\n raise\n except BaseException as exc:\n self._fatal_error(exc, 'Fatal read error on socket transport')\n return\n\n if not nbytes:\n self._read_ready__on_eof()\n return\n\n try:\n self._protocol.buffer_updated(nbytes)\n except (SystemExit, KeyboardInterrupt):\n raise\n except BaseException as exc:\n self._fatal_error(\n exc, 'Fatal error: protocol.buffer_updated() call failed.')\n\n def _read_ready__data_received(self):\n if self._conn_lost:\n return\n try:\n data = self._sock.recv(self.max_size)\n except (BlockingIOError, InterruptedError):\n return\n except (SystemExit, KeyboardInterrupt):\n raise\n except BaseException as exc:\n self._fatal_error(exc, 'Fatal read error on socket transport')\n return\n\n if not data:\n self._read_ready__on_eof()\n return\n\n try:\n self._protocol.data_received(data)\n except (SystemExit, KeyboardInterrupt):\n raise\n except BaseException as exc:\n self._fatal_error(\n exc, 'Fatal error: protocol.data_received() call failed.')\n\n def _read_ready__on_eof(self):\n if self._loop.get_debug():\n logger.debug(\"%r received EOF\", self)\n\n try:\n keep_open = self._protocol.eof_received()\n except (SystemExit, KeyboardInterrupt):\n raise\n except BaseException as exc:\n self._fatal_error(\n exc, 'Fatal error: protocol.eof_received() call failed.')\n return\n\n if keep_open:\n # We're keeping the connection open so the\n # protocol can write more, but we still can't\n # receive more, so remove the reader callback.\n self._loop._remove_reader(self._sock_fd)\n else:\n self.close()\n\n def write(self, data):\n if not isinstance(data, (bytes, bytearray, memoryview)):\n raise TypeError(f'data argument must be a bytes-like object, '\n f'not {type(data).__name__!r}')\n if self._eof:\n raise RuntimeError('Cannot call write() after write_eof()')\n if self._empty_waiter is not None:\n raise RuntimeError('unable to write; sendfile is in progress')\n if not data:\n return\n\n if self._conn_lost:\n if self._conn_lost >= constants.LOG_THRESHOLD_FOR_CONNLOST_WRITES:\n logger.warning('socket.send() raised exception.')\n self._conn_lost += 1\n return\n\n if not self._buffer:\n # Optimization: try to send now.\n try:\n n = self._sock.send(data)\n except (BlockingIOError, InterruptedError):\n pass\n except (SystemExit, KeyboardInterrupt):\n raise\n except BaseException as exc:\n self._fatal_error(exc, 'Fatal write error on socket transport')\n return\n else:\n data = memoryview(data)[n:]\n if not data:\n return\n # Not all was written; register write handler.\n self._loop._add_writer(self._sock_fd, self._write_ready)\n\n # Add it to the buffer.\n self._buffer.append(data)\n self._maybe_pause_protocol()\n\n def _get_sendmsg_buffer(self):\n return itertools.islice(self._buffer, SC_IOV_MAX)\n\n def _write_sendmsg(self):\n assert self._buffer, 'Data should not be empty'\n if self._conn_lost:\n return\n try:\n nbytes = self._sock.sendmsg(self._get_sendmsg_buffer())\n self._adjust_leftover_buffer(nbytes)\n except (BlockingIOError, InterruptedError):\n pass\n except (SystemExit, KeyboardInterrupt):\n raise\n except BaseException as exc:\n self._loop._remove_writer(self._sock_fd)\n self._buffer.clear()\n self._fatal_error(exc, 'Fatal write error on socket transport')\n if self._empty_waiter is not None:\n self._empty_waiter.set_exception(exc)\n else:\n self._maybe_resume_protocol() # May append to buffer.\n if not self._buffer:\n self._loop._remove_writer(self._sock_fd)\n if self._empty_waiter is not None:\n self._empty_waiter.set_result(None)\n if self._closing:\n self._call_connection_lost(None)\n elif self._eof:\n self._sock.shutdown(socket.SHUT_WR)\n\n def _adjust_leftover_buffer(self, nbytes: int) -> None:\n buffer = self._buffer\n while nbytes:\n b = buffer.popleft()\n b_len = len(b)\n if b_len <= nbytes:\n nbytes -= b_len\n else:\n buffer.appendleft(b[nbytes:])\n break\n\n def _write_send(self):\n assert self._buffer, 'Data should not be empty'\n if self._conn_lost:\n return\n try:\n buffer = self._buffer.popleft()\n n = self._sock.send(buffer)\n if n != len(buffer):\n # Not all data was written\n self._buffer.appendleft(buffer[n:])\n except (BlockingIOError, InterruptedError):\n pass\n except (SystemExit, KeyboardInterrupt):\n raise\n except BaseException as exc:\n self._loop._remove_writer(self._sock_fd)\n self._buffer.clear()\n self._fatal_error(exc, 'Fatal write error on socket transport')\n if self._empty_waiter is not None:\n self._empty_waiter.set_exception(exc)\n else:\n self._maybe_resume_protocol() # May append to buffer.\n if not self._buffer:\n self._loop._remove_writer(self._sock_fd)\n if self._empty_waiter is not None:\n self._empty_waiter.set_result(None)\n if self._closing:\n self._call_connection_lost(None)\n elif self._eof:\n self._sock.shutdown(socket.SHUT_WR)\n\n def write_eof(self):\n if self._closing or self._eof:\n return\n self._eof = True\n if not self._buffer:\n self._sock.shutdown(socket.SHUT_WR)\n\n def writelines(self, list_of_data):\n if self._eof:\n raise RuntimeError('Cannot call writelines() after write_eof()')\n if self._empty_waiter is not None:\n raise RuntimeError('unable to writelines; sendfile is in progress')\n if not list_of_data:\n return\n self._buffer.extend([memoryview(data) for data in list_of_data])\n self._write_ready()\n # If the entire buffer couldn't be written, register a write handler\n if self._buffer:\n self._loop._add_writer(self._sock_fd, self._write_ready)\n self._maybe_pause_protocol()\n\n def can_write_eof(self):\n return True\n\n def _call_connection_lost(self, exc):\n super()._call_connection_lost(exc)\n if self._empty_waiter is not None:\n self._empty_waiter.set_exception(\n ConnectionError(\"Connection is closed by peer\"))\n\n def _make_empty_waiter(self):\n if self._empty_waiter is not None:\n raise RuntimeError(\"Empty waiter is already set\")\n self._empty_waiter = self._loop.create_future()\n if not self._buffer:\n self._empty_waiter.set_result(None)\n return self._empty_waiter\n\n def _reset_empty_waiter(self):\n self._empty_waiter = None\n\n def close(self):\n self._read_ready_cb = None\n self._write_ready = None\n super().close()\n\n\nclass _SelectorDatagramTransport(_SelectorTransport, transports.DatagramTransport):\n\n _buffer_factory = collections.deque\n\n def __init__(self, loop, sock, protocol, address=None,\n waiter=None, extra=None):\n super().__init__(loop, sock, protocol, extra)\n self._address = address\n self._buffer_size = 0\n self._loop.call_soon(self._protocol.connection_made, self)\n # only start reading when connection_made() has been called\n self._loop.call_soon(self._add_reader,\n self._sock_fd, self._read_ready)\n if waiter is not None:\n # only wake up the waiter when connection_made() has been called\n self._loop.call_soon(futures._set_result_unless_cancelled,\n waiter, None)\n\n def get_write_buffer_size(self):\n return self._buffer_size\n\n def _read_ready(self):\n if self._conn_lost:\n return\n try:\n data, addr = self._sock.recvfrom(self.max_size)\n except (BlockingIOError, InterruptedError):\n pass\n except OSError as exc:\n self._protocol.error_received(exc)\n except (SystemExit, KeyboardInterrupt):\n raise\n except BaseException as exc:\n self._fatal_error(exc, 'Fatal read error on datagram transport')\n else:\n self._protocol.datagram_received(data, addr)\n\n def sendto(self, data, addr=None):\n if not isinstance(data, (bytes, bytearray, memoryview)):\n raise TypeError(f'data argument must be a bytes-like object, '\n f'not {type(data).__name__!r}')\n if not data:\n return\n\n if self._address:\n if addr not in (None, self._address):\n raise ValueError(\n f'Invalid address: must be None or {self._address}')\n addr = self._address\n\n if self._conn_lost and self._address:\n if self._conn_lost >= constants.LOG_THRESHOLD_FOR_CONNLOST_WRITES:\n logger.warning('socket.send() raised exception.')\n self._conn_lost += 1\n return\n\n if not self._buffer:\n # Attempt to send it right away first.\n try:\n if self._extra['peername']:\n self._sock.send(data)\n else:\n self._sock.sendto(data, addr)\n return\n except (BlockingIOError, InterruptedError):\n self._loop._add_writer(self._sock_fd, self._sendto_ready)\n except OSError as exc:\n self._protocol.error_received(exc)\n return\n except (SystemExit, KeyboardInterrupt):\n raise\n except BaseException as exc:\n self._fatal_error(\n exc, 'Fatal write error on datagram transport')\n return\n\n # Ensure that what we buffer is immutable.\n self._buffer.append((bytes(data), addr))\n self._buffer_size += len(data)\n self._maybe_pause_protocol()\n\n def _sendto_ready(self):\n while self._buffer:\n data, addr = self._buffer.popleft()\n self._buffer_size -= len(data)\n try:\n if self._extra['peername']:\n self._sock.send(data)\n else:\n self._sock.sendto(data, addr)\n except (BlockingIOError, InterruptedError):\n self._buffer.appendleft((data, addr)) # Try again later.\n self._buffer_size += len(data)\n break\n except OSError as exc:\n self._protocol.error_received(exc)\n return\n except (SystemExit, KeyboardInterrupt):\n raise\n except BaseException as exc:\n self._fatal_error(\n exc, 'Fatal write error on datagram transport')\n return\n\n self._maybe_resume_protocol() # May append to buffer.\n if not self._buffer:\n self._loop._remove_writer(self._sock_fd)\n if self._closing:\n self._call_connection_lost(None)\n", 1322], "/usr/lib/python3.12/weakref.py": ["\"\"\"Weak reference support for Python.\n\nThis module is an implementation of PEP 205:\n\nhttps://peps.python.org/pep-0205/\n\"\"\"\n\n# Naming convention: Variables named \"wr\" are weak reference objects;\n# they are called this instead of \"ref\" to avoid name collisions with\n# the module-global ref() function imported from _weakref.\n\nfrom _weakref import (\n getweakrefcount,\n getweakrefs,\n ref,\n proxy,\n CallableProxyType,\n ProxyType,\n ReferenceType,\n _remove_dead_weakref)\n\nfrom _weakrefset import WeakSet, _IterationGuard\n\nimport _collections_abc # Import after _weakref to avoid circular import.\nimport sys\nimport itertools\n\nProxyTypes = (ProxyType, CallableProxyType)\n\n__all__ = [\"ref\", \"proxy\", \"getweakrefcount\", \"getweakrefs\",\n \"WeakKeyDictionary\", \"ReferenceType\", \"ProxyType\",\n \"CallableProxyType\", \"ProxyTypes\", \"WeakValueDictionary\",\n \"WeakSet\", \"WeakMethod\", \"finalize\"]\n\n\n_collections_abc.MutableSet.register(WeakSet)\n\nclass WeakMethod(ref):\n \"\"\"\n A custom `weakref.ref` subclass which simulates a weak reference to\n a bound method, working around the lifetime problem of bound methods.\n \"\"\"\n\n __slots__ = \"_func_ref\", \"_meth_type\", \"_alive\", \"__weakref__\"\n\n def __new__(cls, meth, callback=None):\n try:\n obj = meth.__self__\n func = meth.__func__\n except AttributeError:\n raise TypeError(\"argument should be a bound method, not {}\"\n .format(type(meth))) from None\n def _cb(arg):\n # The self-weakref trick is needed to avoid creating a reference\n # cycle.\n self = self_wr()\n if self._alive:\n self._alive = False\n if callback is not None:\n callback(self)\n self = ref.__new__(cls, obj, _cb)\n self._func_ref = ref(func, _cb)\n self._meth_type = type(meth)\n self._alive = True\n self_wr = ref(self)\n return self\n\n def __call__(self):\n obj = super().__call__()\n func = self._func_ref()\n if obj is None or func is None:\n return None\n return self._meth_type(func, obj)\n\n def __eq__(self, other):\n if isinstance(other, WeakMethod):\n if not self._alive or not other._alive:\n return self is other\n return ref.__eq__(self, other) and self._func_ref == other._func_ref\n return NotImplemented\n\n def __ne__(self, other):\n if isinstance(other, WeakMethod):\n if not self._alive or not other._alive:\n return self is not other\n return ref.__ne__(self, other) or self._func_ref != other._func_ref\n return NotImplemented\n\n __hash__ = ref.__hash__\n\n\nclass WeakValueDictionary(_collections_abc.MutableMapping):\n \"\"\"Mapping class that references values weakly.\n\n Entries in the dictionary will be discarded when no strong\n reference to the value exists anymore\n \"\"\"\n # We inherit the constructor without worrying about the input\n # dictionary; since it uses our .update() method, we get the right\n # checks (if the other dictionary is a WeakValueDictionary,\n # objects are unwrapped on the way out, and we always wrap on the\n # way in).\n\n def __init__(self, other=(), /, **kw):\n def remove(wr, selfref=ref(self), _atomic_removal=_remove_dead_weakref):\n self = selfref()\n if self is not None:\n if self._iterating:\n self._pending_removals.append(wr.key)\n else:\n # Atomic removal is necessary since this function\n # can be called asynchronously by the GC\n _atomic_removal(self.data, wr.key)\n self._remove = remove\n # A list of keys to be removed\n self._pending_removals = []\n self._iterating = set()\n self.data = {}\n self.update(other, **kw)\n\n def _commit_removals(self, _atomic_removal=_remove_dead_weakref):\n pop = self._pending_removals.pop\n d = self.data\n # We shouldn't encounter any KeyError, because this method should\n # always be called *before* mutating the dict.\n while True:\n try:\n key = pop()\n except IndexError:\n return\n _atomic_removal(d, key)\n\n def __getitem__(self, key):\n if self._pending_removals:\n self._commit_removals()\n o = self.data[key]()\n if o is None:\n raise KeyError(key)\n else:\n return o\n\n def __delitem__(self, key):\n if self._pending_removals:\n self._commit_removals()\n del self.data[key]\n\n def __len__(self):\n if self._pending_removals:\n self._commit_removals()\n return len(self.data)\n\n def __contains__(self, key):\n if self._pending_removals:\n self._commit_removals()\n try:\n o = self.data[key]()\n except KeyError:\n return False\n return o is not None\n\n def __repr__(self):\n return \"<%s at %#x>\" % (self.__class__.__name__, id(self))\n\n def __setitem__(self, key, value):\n if self._pending_removals:\n self._commit_removals()\n self.data[key] = KeyedRef(value, self._remove, key)\n\n def copy(self):\n if self._pending_removals:\n self._commit_removals()\n new = WeakValueDictionary()\n with _IterationGuard(self):\n for key, wr in self.data.items():\n o = wr()\n if o is not None:\n new[key] = o\n return new\n\n __copy__ = copy\n\n def __deepcopy__(self, memo):\n from copy import deepcopy\n if self._pending_removals:\n self._commit_removals()\n new = self.__class__()\n with _IterationGuard(self):\n for key, wr in self.data.items():\n o = wr()\n if o is not None:\n new[deepcopy(key, memo)] = o\n return new\n\n def get(self, key, default=None):\n if self._pending_removals:\n self._commit_removals()\n try:\n wr = self.data[key]\n except KeyError:\n return default\n else:\n o = wr()\n if o is None:\n # This should only happen\n return default\n else:\n return o\n\n def items(self):\n if self._pending_removals:\n self._commit_removals()\n with _IterationGuard(self):\n for k, wr in self.data.items():\n v = wr()\n if v is not None:\n yield k, v\n\n def keys(self):\n if self._pending_removals:\n self._commit_removals()\n with _IterationGuard(self):\n for k, wr in self.data.items():\n if wr() is not None:\n yield k\n\n __iter__ = keys\n\n def itervaluerefs(self):\n \"\"\"Return an iterator that yields the weak references to the values.\n\n The references are not guaranteed to be 'live' at the time\n they are used, so the result of calling the references needs\n to be checked before being used. This can be used to avoid\n creating references that will cause the garbage collector to\n keep the values around longer than needed.\n\n \"\"\"\n if self._pending_removals:\n self._commit_removals()\n with _IterationGuard(self):\n yield from self.data.values()\n\n def values(self):\n if self._pending_removals:\n self._commit_removals()\n with _IterationGuard(self):\n for wr in self.data.values():\n obj = wr()\n if obj is not None:\n yield obj\n\n def popitem(self):\n if self._pending_removals:\n self._commit_removals()\n while True:\n key, wr = self.data.popitem()\n o = wr()\n if o is not None:\n return key, o\n\n def pop(self, key, *args):\n if self._pending_removals:\n self._commit_removals()\n try:\n o = self.data.pop(key)()\n except KeyError:\n o = None\n if o is None:\n if args:\n return args[0]\n else:\n raise KeyError(key)\n else:\n return o\n\n def setdefault(self, key, default=None):\n try:\n o = self.data[key]()\n except KeyError:\n o = None\n if o is None:\n if self._pending_removals:\n self._commit_removals()\n self.data[key] = KeyedRef(default, self._remove, key)\n return default\n else:\n return o\n\n def update(self, other=None, /, **kwargs):\n if self._pending_removals:\n self._commit_removals()\n d = self.data\n if other is not None:\n if not hasattr(other, \"items\"):\n other = dict(other)\n for key, o in other.items():\n d[key] = KeyedRef(o, self._remove, key)\n for key, o in kwargs.items():\n d[key] = KeyedRef(o, self._remove, key)\n\n def valuerefs(self):\n \"\"\"Return a list of weak references to the values.\n\n The references are not guaranteed to be 'live' at the time\n they are used, so the result of calling the references needs\n to be checked before being used. This can be used to avoid\n creating references that will cause the garbage collector to\n keep the values around longer than needed.\n\n \"\"\"\n if self._pending_removals:\n self._commit_removals()\n return list(self.data.values())\n\n def __ior__(self, other):\n self.update(other)\n return self\n\n def __or__(self, other):\n if isinstance(other, _collections_abc.Mapping):\n c = self.copy()\n c.update(other)\n return c\n return NotImplemented\n\n def __ror__(self, other):\n if isinstance(other, _collections_abc.Mapping):\n c = self.__class__()\n c.update(other)\n c.update(self)\n return c\n return NotImplemented\n\n\nclass KeyedRef(ref):\n \"\"\"Specialized reference that includes a key corresponding to the value.\n\n This is used in the WeakValueDictionary to avoid having to create\n a function object for each key stored in the mapping. A shared\n callback object can use the 'key' attribute of a KeyedRef instead\n of getting a reference to the key from an enclosing scope.\n\n \"\"\"\n\n __slots__ = \"key\",\n\n def __new__(type, ob, callback, key):\n self = ref.__new__(type, ob, callback)\n self.key = key\n return self\n\n def __init__(self, ob, callback, key):\n super().__init__(ob, callback)\n\n\nclass WeakKeyDictionary(_collections_abc.MutableMapping):\n \"\"\" Mapping class that references keys weakly.\n\n Entries in the dictionary will be discarded when there is no\n longer a strong reference to the key. This can be used to\n associate additional data with an object owned by other parts of\n an application without adding attributes to those objects. This\n can be especially useful with objects that override attribute\n accesses.\n \"\"\"\n\n def __init__(self, dict=None):\n self.data = {}\n def remove(k, selfref=ref(self)):\n self = selfref()\n if self is not None:\n if self._iterating:\n self._pending_removals.append(k)\n else:\n try:\n del self.data[k]\n except KeyError:\n pass\n self._remove = remove\n # A list of dead weakrefs (keys to be removed)\n self._pending_removals = []\n self._iterating = set()\n self._dirty_len = False\n if dict is not None:\n self.update(dict)\n\n def _commit_removals(self):\n # NOTE: We don't need to call this method before mutating the dict,\n # because a dead weakref never compares equal to a live weakref,\n # even if they happened to refer to equal objects.\n # However, it means keys may already have been removed.\n pop = self._pending_removals.pop\n d = self.data\n while True:\n try:\n key = pop()\n except IndexError:\n return\n\n try:\n del d[key]\n except KeyError:\n pass\n\n def _scrub_removals(self):\n d = self.data\n self._pending_removals = [k for k in self._pending_removals if k in d]\n self._dirty_len = False\n\n def __delitem__(self, key):\n self._dirty_len = True\n del self.data[ref(key)]\n\n def __getitem__(self, key):\n return self.data[ref(key)]\n\n def __len__(self):\n if self._dirty_len and self._pending_removals:\n # self._pending_removals may still contain keys which were\n # explicitly removed, we have to scrub them (see issue #21173).\n self._scrub_removals()\n return len(self.data) - len(self._pending_removals)\n\n def __repr__(self):\n return \"<%s at %#x>\" % (self.__class__.__name__, id(self))\n\n def __setitem__(self, key, value):\n self.data[ref(key, self._remove)] = value\n\n def copy(self):\n new = WeakKeyDictionary()\n with _IterationGuard(self):\n for key, value in self.data.items():\n o = key()\n if o is not None:\n new[o] = value\n return new\n\n __copy__ = copy\n\n def __deepcopy__(self, memo):\n from copy import deepcopy\n new = self.__class__()\n with _IterationGuard(self):\n for key, value in self.data.items():\n o = key()\n if o is not None:\n new[o] = deepcopy(value, memo)\n return new\n\n def get(self, key, default=None):\n return self.data.get(ref(key),default)\n\n def __contains__(self, key):\n try:\n wr = ref(key)\n except TypeError:\n return False\n return wr in self.data\n\n def items(self):\n with _IterationGuard(self):\n for wr, value in self.data.items():\n key = wr()\n if key is not None:\n yield key, value\n\n def keys(self):\n with _IterationGuard(self):\n for wr in self.data:\n obj = wr()\n if obj is not None:\n yield obj\n\n __iter__ = keys\n\n def values(self):\n with _IterationGuard(self):\n for wr, value in self.data.items():\n if wr() is not None:\n yield value\n\n def keyrefs(self):\n \"\"\"Return a list of weak references to the keys.\n\n The references are not guaranteed to be 'live' at the time\n they are used, so the result of calling the references needs\n to be checked before being used. This can be used to avoid\n creating references that will cause the garbage collector to\n keep the keys around longer than needed.\n\n \"\"\"\n return list(self.data)\n\n def popitem(self):\n self._dirty_len = True\n while True:\n key, value = self.data.popitem()\n o = key()\n if o is not None:\n return o, value\n\n def pop(self, key, *args):\n self._dirty_len = True\n return self.data.pop(ref(key), *args)\n\n def setdefault(self, key, default=None):\n return self.data.setdefault(ref(key, self._remove),default)\n\n def update(self, dict=None, /, **kwargs):\n d = self.data\n if dict is not None:\n if not hasattr(dict, \"items\"):\n dict = type({})(dict)\n for key, value in dict.items():\n d[ref(key, self._remove)] = value\n if len(kwargs):\n self.update(kwargs)\n\n def __ior__(self, other):\n self.update(other)\n return self\n\n def __or__(self, other):\n if isinstance(other, _collections_abc.Mapping):\n c = self.copy()\n c.update(other)\n return c\n return NotImplemented\n\n def __ror__(self, other):\n if isinstance(other, _collections_abc.Mapping):\n c = self.__class__()\n c.update(other)\n c.update(self)\n return c\n return NotImplemented\n\n\nclass finalize:\n \"\"\"Class for finalization of weakrefable objects\n\n finalize(obj, func, *args, **kwargs) returns a callable finalizer\n object which will be called when obj is garbage collected. The\n first time the finalizer is called it evaluates func(*arg, **kwargs)\n and returns the result. After this the finalizer is dead, and\n calling it just returns None.\n\n When the program exits any remaining finalizers for which the\n atexit attribute is true will be run in reverse order of creation.\n By default atexit is true.\n \"\"\"\n\n # Finalizer objects don't have any state of their own. They are\n # just used as keys to lookup _Info objects in the registry. This\n # ensures that they cannot be part of a ref-cycle.\n\n __slots__ = ()\n _registry = {}\n _shutdown = False\n _index_iter = itertools.count()\n _dirty = False\n _registered_with_atexit = False\n\n class _Info:\n __slots__ = (\"weakref\", \"func\", \"args\", \"kwargs\", \"atexit\", \"index\")\n\n def __init__(self, obj, func, /, *args, **kwargs):\n if not self._registered_with_atexit:\n # We may register the exit function more than once because\n # of a thread race, but that is harmless\n import atexit\n atexit.register(self._exitfunc)\n finalize._registered_with_atexit = True\n info = self._Info()\n info.weakref = ref(obj, self)\n info.func = func\n info.args = args\n info.kwargs = kwargs or None\n info.atexit = True\n info.index = next(self._index_iter)\n self._registry[self] = info\n finalize._dirty = True\n\n def __call__(self, _=None):\n \"\"\"If alive then mark as dead and return func(*args, **kwargs);\n otherwise return None\"\"\"\n info = self._registry.pop(self, None)\n if info and not self._shutdown:\n return info.func(*info.args, **(info.kwargs or {}))\n\n def detach(self):\n \"\"\"If alive then mark as dead and return (obj, func, args, kwargs);\n otherwise return None\"\"\"\n info = self._registry.get(self)\n obj = info and info.weakref()\n if obj is not None and self._registry.pop(self, None):\n return (obj, info.func, info.args, info.kwargs or {})\n\n def peek(self):\n \"\"\"If alive then return (obj, func, args, kwargs);\n otherwise return None\"\"\"\n info = self._registry.get(self)\n obj = info and info.weakref()\n if obj is not None:\n return (obj, info.func, info.args, info.kwargs or {})\n\n @property\n def alive(self):\n \"\"\"Whether finalizer is alive\"\"\"\n return self in self._registry\n\n @property\n def atexit(self):\n \"\"\"Whether finalizer should be called at exit\"\"\"\n info = self._registry.get(self)\n return bool(info) and info.atexit\n\n @atexit.setter\n def atexit(self, value):\n info = self._registry.get(self)\n if info:\n info.atexit = bool(value)\n\n def __repr__(self):\n info = self._registry.get(self)\n obj = info and info.weakref()\n if obj is None:\n return '<%s object at %#x; dead>' % (type(self).__name__, id(self))\n else:\n return '<%s object at %#x; for %r at %#x>' % \\\n (type(self).__name__, id(self), type(obj).__name__, id(obj))\n\n @classmethod\n def _select_for_exit(cls):\n # Return live finalizers marked for exit, oldest first\n L = [(f,i) for (f,i) in cls._registry.items() if i.atexit]\n L.sort(key=lambda item:item[1].index)\n return [f for (f,i) in L]\n\n @classmethod\n def _exitfunc(cls):\n # At shutdown invoke finalizers for which atexit is true.\n # This is called once all other non-daemonic threads have been\n # joined.\n reenable_gc = False\n try:\n if cls._registry:\n import gc\n if gc.isenabled():\n reenable_gc = True\n gc.disable()\n pending = None\n while True:\n if pending is None or finalize._dirty:\n pending = cls._select_for_exit()\n finalize._dirty = False\n if not pending:\n break\n f = pending.pop()\n try:\n # gc is disabled, so (assuming no daemonic\n # threads) the following is the only line in\n # this function which might trigger creation\n # of a new finalizer\n f()\n except Exception:\n sys.excepthook(*sys.exc_info())\n assert f not in cls._registry\n finally:\n # prevent any more finalizers from executing during shutdown\n finalize._shutdown = True\n if reenable_gc:\n gc.enable()\n", 674], "/usr/lib/python3.12/threading.py": ["\"\"\"Thread module emulating a subset of Java's threading model.\"\"\"\n\nimport os as _os\nimport sys as _sys\nimport _thread\nimport functools\n\nfrom time import monotonic as _time\nfrom _weakrefset import WeakSet\nfrom itertools import count as _count\ntry:\n from _collections import deque as _deque\nexcept ImportError:\n from collections import deque as _deque\n\n# Note regarding PEP 8 compliant names\n# This threading model was originally inspired by Java, and inherited\n# the convention of camelCase function and method names from that\n# language. Those original names are not in any imminent danger of\n# being deprecated (even for Py3k),so this module provides them as an\n# alias for the PEP 8 compliant names\n# Note that using the new PEP 8 compliant names facilitates substitution\n# with the multiprocessing module, which doesn't provide the old\n# Java inspired names.\n\n__all__ = ['get_ident', 'active_count', 'Condition', 'current_thread',\n 'enumerate', 'main_thread', 'TIMEOUT_MAX',\n 'Event', 'Lock', 'RLock', 'Semaphore', 'BoundedSemaphore', 'Thread',\n 'Barrier', 'BrokenBarrierError', 'Timer', 'ThreadError',\n 'setprofile', 'settrace', 'local', 'stack_size',\n 'excepthook', 'ExceptHookArgs', 'gettrace', 'getprofile',\n 'setprofile_all_threads','settrace_all_threads']\n\n# Rename some stuff so \"from threading import *\" is safe\n_start_new_thread = _thread.start_new_thread\n_daemon_threads_allowed = _thread.daemon_threads_allowed\n_allocate_lock = _thread.allocate_lock\n_set_sentinel = _thread._set_sentinel\nget_ident = _thread.get_ident\ntry:\n _is_main_interpreter = _thread._is_main_interpreter\nexcept AttributeError:\n # See https://github.com/python/cpython/issues/112826.\n # We can pretend a subinterpreter is the main interpreter for the\n # sake of _shutdown(), since that only means we do not wait for the\n # subinterpreter's threads to finish. Instead, they will be stopped\n # later by the mechanism we use for daemon threads. The likelihood\n # of this case is small because rarely will the _thread module be\n # replaced by a module without _is_main_interpreter().\n # Furthermore, this is all irrelevant in applications\n # that do not use subinterpreters.\n def _is_main_interpreter():\n return True\ntry:\n get_native_id = _thread.get_native_id\n _HAVE_THREAD_NATIVE_ID = True\n __all__.append('get_native_id')\nexcept AttributeError:\n _HAVE_THREAD_NATIVE_ID = False\nThreadError = _thread.error\ntry:\n _CRLock = _thread.RLock\nexcept AttributeError:\n _CRLock = None\nTIMEOUT_MAX = _thread.TIMEOUT_MAX\ndel _thread\n\n\n# Support for profile and trace hooks\n\n_profile_hook = None\n_trace_hook = None\n\ndef setprofile(func):\n \"\"\"Set a profile function for all threads started from the threading module.\n\n The func will be passed to sys.setprofile() for each thread, before its\n run() method is called.\n \"\"\"\n global _profile_hook\n _profile_hook = func\n\ndef setprofile_all_threads(func):\n \"\"\"Set a profile function for all threads started from the threading module\n and all Python threads that are currently executing.\n\n The func will be passed to sys.setprofile() for each thread, before its\n run() method is called.\n \"\"\"\n setprofile(func)\n _sys._setprofileallthreads(func)\n\ndef getprofile():\n \"\"\"Get the profiler function as set by threading.setprofile().\"\"\"\n return _profile_hook\n\ndef settrace(func):\n \"\"\"Set a trace function for all threads started from the threading module.\n\n The func will be passed to sys.settrace() for each thread, before its run()\n method is called.\n \"\"\"\n global _trace_hook\n _trace_hook = func\n\ndef settrace_all_threads(func):\n \"\"\"Set a trace function for all threads started from the threading module\n and all Python threads that are currently executing.\n\n The func will be passed to sys.settrace() for each thread, before its run()\n method is called.\n \"\"\"\n settrace(func)\n _sys._settraceallthreads(func)\n\ndef gettrace():\n \"\"\"Get the trace function as set by threading.settrace().\"\"\"\n return _trace_hook\n\n# Synchronization classes\n\nLock = _allocate_lock\n\ndef RLock(*args, **kwargs):\n \"\"\"Factory function that returns a new reentrant lock.\n\n A reentrant lock must be released by the thread that acquired it. Once a\n thread has acquired a reentrant lock, the same thread may acquire it again\n without blocking; the thread must release it once for each time it has\n acquired it.\n\n \"\"\"\n if _CRLock is None:\n return _PyRLock(*args, **kwargs)\n return _CRLock(*args, **kwargs)\n\nclass _RLock:\n \"\"\"This class implements reentrant lock objects.\n\n A reentrant lock must be released by the thread that acquired it. Once a\n thread has acquired a reentrant lock, the same thread may acquire it\n again without blocking; the thread must release it once for each time it\n has acquired it.\n\n \"\"\"\n\n def __init__(self):\n self._block = _allocate_lock()\n self._owner = None\n self._count = 0\n\n def __repr__(self):\n owner = self._owner\n try:\n owner = _active[owner].name\n except KeyError:\n pass\n return \"<%s %s.%s object owner=%r count=%d at %s>\" % (\n \"locked\" if self._block.locked() else \"unlocked\",\n self.__class__.__module__,\n self.__class__.__qualname__,\n owner,\n self._count,\n hex(id(self))\n )\n\n def _at_fork_reinit(self):\n self._block._at_fork_reinit()\n self._owner = None\n self._count = 0\n\n def acquire(self, blocking=True, timeout=-1):\n \"\"\"Acquire a lock, blocking or non-blocking.\n\n When invoked without arguments: if this thread already owns the lock,\n increment the recursion level by one, and return immediately. Otherwise,\n if another thread owns the lock, block until the lock is unlocked. Once\n the lock is unlocked (not owned by any thread), then grab ownership, set\n the recursion level to one, and return. If more than one thread is\n blocked waiting until the lock is unlocked, only one at a time will be\n able to grab ownership of the lock. There is no return value in this\n case.\n\n When invoked with the blocking argument set to true, do the same thing\n as when called without arguments, and return true.\n\n When invoked with the blocking argument set to false, do not block. If a\n call without an argument would block, return false immediately;\n otherwise, do the same thing as when called without arguments, and\n return true.\n\n When invoked with the floating-point timeout argument set to a positive\n value, block for at most the number of seconds specified by timeout\n and as long as the lock cannot be acquired. Return true if the lock has\n been acquired, false if the timeout has elapsed.\n\n \"\"\"\n me = get_ident()\n if self._owner == me:\n self._count += 1\n return 1\n rc = self._block.acquire(blocking, timeout)\n if rc:\n self._owner = me\n self._count = 1\n return rc\n\n __enter__ = acquire\n\n def release(self):\n \"\"\"Release a lock, decrementing the recursion level.\n\n If after the decrement it is zero, reset the lock to unlocked (not owned\n by any thread), and if any other threads are blocked waiting for the\n lock to become unlocked, allow exactly one of them to proceed. If after\n the decrement the recursion level is still nonzero, the lock remains\n locked and owned by the calling thread.\n\n Only call this method when the calling thread owns the lock. A\n RuntimeError is raised if this method is called when the lock is\n unlocked.\n\n There is no return value.\n\n \"\"\"\n if self._owner != get_ident():\n raise RuntimeError(\"cannot release un-acquired lock\")\n self._count = count = self._count - 1\n if not count:\n self._owner = None\n self._block.release()\n\n def __exit__(self, t, v, tb):\n self.release()\n\n # Internal methods used by condition variables\n\n def _acquire_restore(self, state):\n self._block.acquire()\n self._count, self._owner = state\n\n def _release_save(self):\n if self._count == 0:\n raise RuntimeError(\"cannot release un-acquired lock\")\n count = self._count\n self._count = 0\n owner = self._owner\n self._owner = None\n self._block.release()\n return (count, owner)\n\n def _is_owned(self):\n return self._owner == get_ident()\n\n # Internal method used for reentrancy checks\n\n def _recursion_count(self):\n if self._owner != get_ident():\n return 0\n return self._count\n\n_PyRLock = _RLock\n\n\nclass Condition:\n \"\"\"Class that implements a condition variable.\n\n A condition variable allows one or more threads to wait until they are\n notified by another thread.\n\n If the lock argument is given and not None, it must be a Lock or RLock\n object, and it is used as the underlying lock. Otherwise, a new RLock object\n is created and used as the underlying lock.\n\n \"\"\"\n\n def __init__(self, lock=None):\n if lock is None:\n lock = RLock()\n self._lock = lock\n # Export the lock's acquire() and release() methods\n self.acquire = lock.acquire\n self.release = lock.release\n # If the lock defines _release_save() and/or _acquire_restore(),\n # these override the default implementations (which just call\n # release() and acquire() on the lock). Ditto for _is_owned().\n if hasattr(lock, '_release_save'):\n self._release_save = lock._release_save\n if hasattr(lock, '_acquire_restore'):\n self._acquire_restore = lock._acquire_restore\n if hasattr(lock, '_is_owned'):\n self._is_owned = lock._is_owned\n self._waiters = _deque()\n\n def _at_fork_reinit(self):\n self._lock._at_fork_reinit()\n self._waiters.clear()\n\n def __enter__(self):\n return self._lock.__enter__()\n\n def __exit__(self, *args):\n return self._lock.__exit__(*args)\n\n def __repr__(self):\n return \"\" % (self._lock, len(self._waiters))\n\n def _release_save(self):\n self._lock.release() # No state to save\n\n def _acquire_restore(self, x):\n self._lock.acquire() # Ignore saved state\n\n def _is_owned(self):\n # Return True if lock is owned by current_thread.\n # This method is called only if _lock doesn't have _is_owned().\n if self._lock.acquire(False):\n self._lock.release()\n return False\n else:\n return True\n\n def wait(self, timeout=None):\n \"\"\"Wait until notified or until a timeout occurs.\n\n If the calling thread has not acquired the lock when this method is\n called, a RuntimeError is raised.\n\n This method releases the underlying lock, and then blocks until it is\n awakened by a notify() or notify_all() call for the same condition\n variable in another thread, or until the optional timeout occurs. Once\n awakened or timed out, it re-acquires the lock and returns.\n\n When the timeout argument is present and not None, it should be a\n floating point number specifying a timeout for the operation in seconds\n (or fractions thereof).\n\n When the underlying lock is an RLock, it is not released using its\n release() method, since this may not actually unlock the lock when it\n was acquired multiple times recursively. Instead, an internal interface\n of the RLock class is used, which really unlocks it even when it has\n been recursively acquired several times. Another internal interface is\n then used to restore the recursion level when the lock is reacquired.\n\n \"\"\"\n if not self._is_owned():\n raise RuntimeError(\"cannot wait on un-acquired lock\")\n waiter = _allocate_lock()\n waiter.acquire()\n self._waiters.append(waiter)\n saved_state = self._release_save()\n gotit = False\n try: # restore state no matter what (e.g., KeyboardInterrupt)\n if timeout is None:\n waiter.acquire()\n gotit = True\n else:\n if timeout > 0:\n gotit = waiter.acquire(True, timeout)\n else:\n gotit = waiter.acquire(False)\n return gotit\n finally:\n self._acquire_restore(saved_state)\n if not gotit:\n try:\n self._waiters.remove(waiter)\n except ValueError:\n pass\n\n def wait_for(self, predicate, timeout=None):\n \"\"\"Wait until a condition evaluates to True.\n\n predicate should be a callable which result will be interpreted as a\n boolean value. A timeout may be provided giving the maximum time to\n wait.\n\n \"\"\"\n endtime = None\n waittime = timeout\n result = predicate()\n while not result:\n if waittime is not None:\n if endtime is None:\n endtime = _time() + waittime\n else:\n waittime = endtime - _time()\n if waittime <= 0:\n break\n self.wait(waittime)\n result = predicate()\n return result\n\n def notify(self, n=1):\n \"\"\"Wake up one or more threads waiting on this condition, if any.\n\n If the calling thread has not acquired the lock when this method is\n called, a RuntimeError is raised.\n\n This method wakes up at most n of the threads waiting for the condition\n variable; it is a no-op if no threads are waiting.\n\n \"\"\"\n if not self._is_owned():\n raise RuntimeError(\"cannot notify on un-acquired lock\")\n waiters = self._waiters\n while waiters and n > 0:\n waiter = waiters[0]\n try:\n waiter.release()\n except RuntimeError:\n # gh-92530: The previous call of notify() released the lock,\n # but was interrupted before removing it from the queue.\n # It can happen if a signal handler raises an exception,\n # like CTRL+C which raises KeyboardInterrupt.\n pass\n else:\n n -= 1\n try:\n waiters.remove(waiter)\n except ValueError:\n pass\n\n def notify_all(self):\n \"\"\"Wake up all threads waiting on this condition.\n\n If the calling thread has not acquired the lock when this method\n is called, a RuntimeError is raised.\n\n \"\"\"\n self.notify(len(self._waiters))\n\n def notifyAll(self):\n \"\"\"Wake up all threads waiting on this condition.\n\n This method is deprecated, use notify_all() instead.\n\n \"\"\"\n import warnings\n warnings.warn('notifyAll() is deprecated, use notify_all() instead',\n DeprecationWarning, stacklevel=2)\n self.notify_all()\n\n\nclass Semaphore:\n \"\"\"This class implements semaphore objects.\n\n Semaphores manage a counter representing the number of release() calls minus\n the number of acquire() calls, plus an initial value. The acquire() method\n blocks if necessary until it can return without making the counter\n negative. If not given, value defaults to 1.\n\n \"\"\"\n\n # After Tim Peters' semaphore class, but not quite the same (no maximum)\n\n def __init__(self, value=1):\n if value < 0:\n raise ValueError(\"semaphore initial value must be >= 0\")\n self._cond = Condition(Lock())\n self._value = value\n\n def __repr__(self):\n cls = self.__class__\n return (f\"<{cls.__module__}.{cls.__qualname__} at {id(self):#x}:\"\n f\" value={self._value}>\")\n\n def acquire(self, blocking=True, timeout=None):\n \"\"\"Acquire a semaphore, decrementing the internal counter by one.\n\n When invoked without arguments: if the internal counter is larger than\n zero on entry, decrement it by one and return immediately. If it is zero\n on entry, block, waiting until some other thread has called release() to\n make it larger than zero. This is done with proper interlocking so that\n if multiple acquire() calls are blocked, release() will wake exactly one\n of them up. The implementation may pick one at random, so the order in\n which blocked threads are awakened should not be relied on. There is no\n return value in this case.\n\n When invoked with blocking set to true, do the same thing as when called\n without arguments, and return true.\n\n When invoked with blocking set to false, do not block. If a call without\n an argument would block, return false immediately; otherwise, do the\n same thing as when called without arguments, and return true.\n\n When invoked with a timeout other than None, it will block for at\n most timeout seconds. If acquire does not complete successfully in\n that interval, return false. Return true otherwise.\n\n \"\"\"\n if not blocking and timeout is not None:\n raise ValueError(\"can't specify timeout for non-blocking acquire\")\n rc = False\n endtime = None\n with self._cond:\n while self._value == 0:\n if not blocking:\n break\n if timeout is not None:\n if endtime is None:\n endtime = _time() + timeout\n else:\n timeout = endtime - _time()\n if timeout <= 0:\n break\n self._cond.wait(timeout)\n else:\n self._value -= 1\n rc = True\n return rc\n\n __enter__ = acquire\n\n def release(self, n=1):\n \"\"\"Release a semaphore, incrementing the internal counter by one or more.\n\n When the counter is zero on entry and another thread is waiting for it\n to become larger than zero again, wake up that thread.\n\n \"\"\"\n if n < 1:\n raise ValueError('n must be one or more')\n with self._cond:\n self._value += n\n self._cond.notify(n)\n\n def __exit__(self, t, v, tb):\n self.release()\n\n\nclass BoundedSemaphore(Semaphore):\n \"\"\"Implements a bounded semaphore.\n\n A bounded semaphore checks to make sure its current value doesn't exceed its\n initial value. If it does, ValueError is raised. In most situations\n semaphores are used to guard resources with limited capacity.\n\n If the semaphore is released too many times it's a sign of a bug. If not\n given, value defaults to 1.\n\n Like regular semaphores, bounded semaphores manage a counter representing\n the number of release() calls minus the number of acquire() calls, plus an\n initial value. The acquire() method blocks if necessary until it can return\n without making the counter negative. If not given, value defaults to 1.\n\n \"\"\"\n\n def __init__(self, value=1):\n super().__init__(value)\n self._initial_value = value\n\n def __repr__(self):\n cls = self.__class__\n return (f\"<{cls.__module__}.{cls.__qualname__} at {id(self):#x}:\"\n f\" value={self._value}/{self._initial_value}>\")\n\n def release(self, n=1):\n \"\"\"Release a semaphore, incrementing the internal counter by one or more.\n\n When the counter is zero on entry and another thread is waiting for it\n to become larger than zero again, wake up that thread.\n\n If the number of releases exceeds the number of acquires,\n raise a ValueError.\n\n \"\"\"\n if n < 1:\n raise ValueError('n must be one or more')\n with self._cond:\n if self._value + n > self._initial_value:\n raise ValueError(\"Semaphore released too many times\")\n self._value += n\n self._cond.notify(n)\n\n\nclass Event:\n \"\"\"Class implementing event objects.\n\n Events manage a flag that can be set to true with the set() method and reset\n to false with the clear() method. The wait() method blocks until the flag is\n true. The flag is initially false.\n\n \"\"\"\n\n # After Tim Peters' event class (without is_posted())\n\n def __init__(self):\n self._cond = Condition(Lock())\n self._flag = False\n\n def __repr__(self):\n cls = self.__class__\n status = 'set' if self._flag else 'unset'\n return f\"<{cls.__module__}.{cls.__qualname__} at {id(self):#x}: {status}>\"\n\n def _at_fork_reinit(self):\n # Private method called by Thread._reset_internal_locks()\n self._cond._at_fork_reinit()\n\n def is_set(self):\n \"\"\"Return true if and only if the internal flag is true.\"\"\"\n return self._flag\n\n def isSet(self):\n \"\"\"Return true if and only if the internal flag is true.\n\n This method is deprecated, use is_set() instead.\n\n \"\"\"\n import warnings\n warnings.warn('isSet() is deprecated, use is_set() instead',\n DeprecationWarning, stacklevel=2)\n return self.is_set()\n\n def set(self):\n \"\"\"Set the internal flag to true.\n\n All threads waiting for it to become true are awakened. Threads\n that call wait() once the flag is true will not block at all.\n\n \"\"\"\n with self._cond:\n self._flag = True\n self._cond.notify_all()\n\n def clear(self):\n \"\"\"Reset the internal flag to false.\n\n Subsequently, threads calling wait() will block until set() is called to\n set the internal flag to true again.\n\n \"\"\"\n with self._cond:\n self._flag = False\n\n def wait(self, timeout=None):\n \"\"\"Block until the internal flag is true.\n\n If the internal flag is true on entry, return immediately. Otherwise,\n block until another thread calls set() to set the flag to true, or until\n the optional timeout occurs.\n\n When the timeout argument is present and not None, it should be a\n floating point number specifying a timeout for the operation in seconds\n (or fractions thereof).\n\n This method returns the internal flag on exit, so it will always return\n True except if a timeout is given and the operation times out.\n\n \"\"\"\n with self._cond:\n signaled = self._flag\n if not signaled:\n signaled = self._cond.wait(timeout)\n return signaled\n\n\n# A barrier class. Inspired in part by the pthread_barrier_* api and\n# the CyclicBarrier class from Java. See\n# http://sourceware.org/pthreads-win32/manual/pthread_barrier_init.html and\n# http://java.sun.com/j2se/1.5.0/docs/api/java/util/concurrent/\n# CyclicBarrier.html\n# for information.\n# We maintain two main states, 'filling' and 'draining' enabling the barrier\n# to be cyclic. Threads are not allowed into it until it has fully drained\n# since the previous cycle. In addition, a 'resetting' state exists which is\n# similar to 'draining' except that threads leave with a BrokenBarrierError,\n# and a 'broken' state in which all threads get the exception.\nclass Barrier:\n \"\"\"Implements a Barrier.\n\n Useful for synchronizing a fixed number of threads at known synchronization\n points. Threads block on 'wait()' and are simultaneously awoken once they\n have all made that call.\n\n \"\"\"\n\n def __init__(self, parties, action=None, timeout=None):\n \"\"\"Create a barrier, initialised to 'parties' threads.\n\n 'action' is a callable which, when supplied, will be called by one of\n the threads after they have all entered the barrier and just prior to\n releasing them all. If a 'timeout' is provided, it is used as the\n default for all subsequent 'wait()' calls.\n\n \"\"\"\n self._cond = Condition(Lock())\n self._action = action\n self._timeout = timeout\n self._parties = parties\n self._state = 0 # 0 filling, 1 draining, -1 resetting, -2 broken\n self._count = 0\n\n def __repr__(self):\n cls = self.__class__\n if self.broken:\n return f\"<{cls.__module__}.{cls.__qualname__} at {id(self):#x}: broken>\"\n return (f\"<{cls.__module__}.{cls.__qualname__} at {id(self):#x}:\"\n f\" waiters={self.n_waiting}/{self.parties}>\")\n\n def wait(self, timeout=None):\n \"\"\"Wait for the barrier.\n\n When the specified number of threads have started waiting, they are all\n simultaneously awoken. If an 'action' was provided for the barrier, one\n of the threads will have executed that callback prior to returning.\n Returns an individual index number from 0 to 'parties-1'.\n\n \"\"\"\n if timeout is None:\n timeout = self._timeout\n with self._cond:\n self._enter() # Block while the barrier drains.\n index = self._count\n self._count += 1\n try:\n if index + 1 == self._parties:\n # We release the barrier\n self._release()\n else:\n # We wait until someone releases us\n self._wait(timeout)\n return index\n finally:\n self._count -= 1\n # Wake up any threads waiting for barrier to drain.\n self._exit()\n\n # Block until the barrier is ready for us, or raise an exception\n # if it is broken.\n def _enter(self):\n while self._state in (-1, 1):\n # It is draining or resetting, wait until done\n self._cond.wait()\n #see if the barrier is in a broken state\n if self._state < 0:\n raise BrokenBarrierError\n assert self._state == 0\n\n # Optionally run the 'action' and release the threads waiting\n # in the barrier.\n def _release(self):\n try:\n if self._action:\n self._action()\n # enter draining state\n self._state = 1\n self._cond.notify_all()\n except:\n #an exception during the _action handler. Break and reraise\n self._break()\n raise\n\n # Wait in the barrier until we are released. Raise an exception\n # if the barrier is reset or broken.\n def _wait(self, timeout):\n if not self._cond.wait_for(lambda : self._state != 0, timeout):\n #timed out. Break the barrier\n self._break()\n raise BrokenBarrierError\n if self._state < 0:\n raise BrokenBarrierError\n assert self._state == 1\n\n # If we are the last thread to exit the barrier, signal any threads\n # waiting for the barrier to drain.\n def _exit(self):\n if self._count == 0:\n if self._state in (-1, 1):\n #resetting or draining\n self._state = 0\n self._cond.notify_all()\n\n def reset(self):\n \"\"\"Reset the barrier to the initial state.\n\n Any threads currently waiting will get the BrokenBarrier exception\n raised.\n\n \"\"\"\n with self._cond:\n if self._count > 0:\n if self._state == 0:\n #reset the barrier, waking up threads\n self._state = -1\n elif self._state == -2:\n #was broken, set it to reset state\n #which clears when the last thread exits\n self._state = -1\n else:\n self._state = 0\n self._cond.notify_all()\n\n def abort(self):\n \"\"\"Place the barrier into a 'broken' state.\n\n Useful in case of error. Any currently waiting threads and threads\n attempting to 'wait()' will have BrokenBarrierError raised.\n\n \"\"\"\n with self._cond:\n self._break()\n\n def _break(self):\n # An internal error was detected. The barrier is set to\n # a broken state all parties awakened.\n self._state = -2\n self._cond.notify_all()\n\n @property\n def parties(self):\n \"\"\"Return the number of threads required to trip the barrier.\"\"\"\n return self._parties\n\n @property\n def n_waiting(self):\n \"\"\"Return the number of threads currently waiting at the barrier.\"\"\"\n # We don't need synchronization here since this is an ephemeral result\n # anyway. It returns the correct value in the steady state.\n if self._state == 0:\n return self._count\n return 0\n\n @property\n def broken(self):\n \"\"\"Return True if the barrier is in a broken state.\"\"\"\n return self._state == -2\n\n# exception raised by the Barrier class\nclass BrokenBarrierError(RuntimeError):\n pass\n\n\n# Helper to generate new thread names\n_counter = _count(1).__next__\ndef _newname(name_template):\n return name_template % _counter()\n\n# Active thread administration.\n#\n# bpo-44422: Use a reentrant lock to allow reentrant calls to functions like\n# threading.enumerate().\n_active_limbo_lock = RLock()\n_active = {} # maps thread id to Thread object\n_limbo = {}\n_dangling = WeakSet()\n\n# Set of Thread._tstate_lock locks of non-daemon threads used by _shutdown()\n# to wait until all Python thread states get deleted:\n# see Thread._set_tstate_lock().\n_shutdown_locks_lock = _allocate_lock()\n_shutdown_locks = set()\n\ndef _maintain_shutdown_locks():\n \"\"\"\n Drop any shutdown locks that don't correspond to running threads anymore.\n\n Calling this from time to time avoids an ever-growing _shutdown_locks\n set when Thread objects are not joined explicitly. See bpo-37788.\n\n This must be called with _shutdown_locks_lock acquired.\n \"\"\"\n # If a lock was released, the corresponding thread has exited\n to_remove = [lock for lock in _shutdown_locks if not lock.locked()]\n _shutdown_locks.difference_update(to_remove)\n\n\n# Main class for threads\n\nclass Thread:\n \"\"\"A class that represents a thread of control.\n\n This class can be safely subclassed in a limited fashion. There are two ways\n to specify the activity: by passing a callable object to the constructor, or\n by overriding the run() method in a subclass.\n\n \"\"\"\n\n _initialized = False\n\n def __init__(self, group=None, target=None, name=None,\n args=(), kwargs=None, *, daemon=None):\n \"\"\"This constructor should always be called with keyword arguments. Arguments are:\n\n *group* should be None; reserved for future extension when a ThreadGroup\n class is implemented.\n\n *target* is the callable object to be invoked by the run()\n method. Defaults to None, meaning nothing is called.\n\n *name* is the thread name. By default, a unique name is constructed of\n the form \"Thread-N\" where N is a small decimal number.\n\n *args* is a list or tuple of arguments for the target invocation. Defaults to ().\n\n *kwargs* is a dictionary of keyword arguments for the target\n invocation. Defaults to {}.\n\n If a subclass overrides the constructor, it must make sure to invoke\n the base class constructor (Thread.__init__()) before doing anything\n else to the thread.\n\n \"\"\"\n assert group is None, \"group argument must be None for now\"\n if kwargs is None:\n kwargs = {}\n if name:\n name = str(name)\n else:\n name = _newname(\"Thread-%d\")\n if target is not None:\n try:\n target_name = target.__name__\n name += f\" ({target_name})\"\n except AttributeError:\n pass\n\n self._target = target\n self._name = name\n self._args = args\n self._kwargs = kwargs\n if daemon is not None:\n if daemon and not _daemon_threads_allowed():\n raise RuntimeError('daemon threads are disabled in this (sub)interpreter')\n self._daemonic = daemon\n else:\n self._daemonic = current_thread().daemon\n self._ident = None\n if _HAVE_THREAD_NATIVE_ID:\n self._native_id = None\n self._tstate_lock = None\n self._started = Event()\n self._is_stopped = False\n self._initialized = True\n # Copy of sys.stderr used by self._invoke_excepthook()\n self._stderr = _sys.stderr\n self._invoke_excepthook = _make_invoke_excepthook()\n # For debugging and _after_fork()\n _dangling.add(self)\n\n def _reset_internal_locks(self, is_alive):\n # private! Called by _after_fork() to reset our internal locks as\n # they may be in an invalid state leading to a deadlock or crash.\n self._started._at_fork_reinit()\n if is_alive:\n # bpo-42350: If the fork happens when the thread is already stopped\n # (ex: after threading._shutdown() has been called), _tstate_lock\n # is None. Do nothing in this case.\n if self._tstate_lock is not None:\n self._tstate_lock._at_fork_reinit()\n self._tstate_lock.acquire()\n else:\n # The thread isn't alive after fork: it doesn't have a tstate\n # anymore.\n self._is_stopped = True\n self._tstate_lock = None\n\n def __repr__(self):\n assert self._initialized, \"Thread.__init__() was not called\"\n status = \"initial\"\n if self._started.is_set():\n status = \"started\"\n self.is_alive() # easy way to get ._is_stopped set when appropriate\n if self._is_stopped:\n status = \"stopped\"\n if self._daemonic:\n status += \" daemon\"\n if self._ident is not None:\n status += \" %s\" % self._ident\n return \"<%s(%s, %s)>\" % (self.__class__.__name__, self._name, status)\n\n def start(self):\n \"\"\"Start the thread's activity.\n\n It must be called at most once per thread object. It arranges for the\n object's run() method to be invoked in a separate thread of control.\n\n This method will raise a RuntimeError if called more than once on the\n same thread object.\n\n \"\"\"\n if not self._initialized:\n raise RuntimeError(\"thread.__init__() not called\")\n\n if self._started.is_set():\n raise RuntimeError(\"threads can only be started once\")\n\n with _active_limbo_lock:\n _limbo[self] = self\n try:\n _start_new_thread(self._bootstrap, ())\n except Exception:\n with _active_limbo_lock:\n del _limbo[self]\n raise\n self._started.wait()\n\n def run(self):\n \"\"\"Method representing the thread's activity.\n\n You may override this method in a subclass. The standard run() method\n invokes the callable object passed to the object's constructor as the\n target argument, if any, with sequential and keyword arguments taken\n from the args and kwargs arguments, respectively.\n\n \"\"\"\n try:\n if self._target is not None:\n self._target(*self._args, **self._kwargs)\n finally:\n # Avoid a refcycle if the thread is running a function with\n # an argument that has a member that points to the thread.\n del self._target, self._args, self._kwargs\n\n def _bootstrap(self):\n # Wrapper around the real bootstrap code that ignores\n # exceptions during interpreter cleanup. Those typically\n # happen when a daemon thread wakes up at an unfortunate\n # moment, finds the world around it destroyed, and raises some\n # random exception *** while trying to report the exception in\n # _bootstrap_inner() below ***. Those random exceptions\n # don't help anybody, and they confuse users, so we suppress\n # them. We suppress them only when it appears that the world\n # indeed has already been destroyed, so that exceptions in\n # _bootstrap_inner() during normal business hours are properly\n # reported. Also, we only suppress them for daemonic threads;\n # if a non-daemonic encounters this, something else is wrong.\n try:\n self._bootstrap_inner()\n except:\n if self._daemonic and _sys is None:\n return\n raise\n\n def _set_ident(self):\n self._ident = get_ident()\n\n if _HAVE_THREAD_NATIVE_ID:\n def _set_native_id(self):\n self._native_id = get_native_id()\n\n def _set_tstate_lock(self):\n \"\"\"\n Set a lock object which will be released by the interpreter when\n the underlying thread state (see pystate.h) gets deleted.\n \"\"\"\n self._tstate_lock = _set_sentinel()\n self._tstate_lock.acquire()\n\n if not self.daemon:\n with _shutdown_locks_lock:\n _maintain_shutdown_locks()\n _shutdown_locks.add(self._tstate_lock)\n\n def _bootstrap_inner(self):\n try:\n self._set_ident()\n self._set_tstate_lock()\n if _HAVE_THREAD_NATIVE_ID:\n self._set_native_id()\n self._started.set()\n with _active_limbo_lock:\n _active[self._ident] = self\n del _limbo[self]\n\n if _trace_hook:\n _sys.settrace(_trace_hook)\n if _profile_hook:\n _sys.setprofile(_profile_hook)\n\n try:\n self.run()\n except:\n self._invoke_excepthook(self)\n finally:\n self._delete()\n\n def _stop(self):\n # After calling ._stop(), .is_alive() returns False and .join() returns\n # immediately. ._tstate_lock must be released before calling ._stop().\n #\n # Normal case: C code at the end of the thread's life\n # (release_sentinel in _threadmodule.c) releases ._tstate_lock, and\n # that's detected by our ._wait_for_tstate_lock(), called by .join()\n # and .is_alive(). Any number of threads _may_ call ._stop()\n # simultaneously (for example, if multiple threads are blocked in\n # .join() calls), and they're not serialized. That's harmless -\n # they'll just make redundant rebindings of ._is_stopped and\n # ._tstate_lock. Obscure: we rebind ._tstate_lock last so that the\n # \"assert self._is_stopped\" in ._wait_for_tstate_lock() always works\n # (the assert is executed only if ._tstate_lock is None).\n #\n # Special case: _main_thread releases ._tstate_lock via this\n # module's _shutdown() function.\n lock = self._tstate_lock\n if lock is not None:\n assert not lock.locked()\n self._is_stopped = True\n self._tstate_lock = None\n if not self.daemon:\n with _shutdown_locks_lock:\n # Remove our lock and other released locks from _shutdown_locks\n _maintain_shutdown_locks()\n\n def _delete(self):\n \"Remove current thread from the dict of currently running threads.\"\n with _active_limbo_lock:\n del _active[get_ident()]\n # There must not be any python code between the previous line\n # and after the lock is released. Otherwise a tracing function\n # could try to acquire the lock again in the same thread, (in\n # current_thread()), and would block.\n\n def join(self, timeout=None):\n \"\"\"Wait until the thread terminates.\n\n This blocks the calling thread until the thread whose join() method is\n called terminates -- either normally or through an unhandled exception\n or until the optional timeout occurs.\n\n When the timeout argument is present and not None, it should be a\n floating point number specifying a timeout for the operation in seconds\n (or fractions thereof). As join() always returns None, you must call\n is_alive() after join() to decide whether a timeout happened -- if the\n thread is still alive, the join() call timed out.\n\n When the timeout argument is not present or None, the operation will\n block until the thread terminates.\n\n A thread can be join()ed many times.\n\n join() raises a RuntimeError if an attempt is made to join the current\n thread as that would cause a deadlock. It is also an error to join() a\n thread before it has been started and attempts to do so raises the same\n exception.\n\n \"\"\"\n if not self._initialized:\n raise RuntimeError(\"Thread.__init__() not called\")\n if not self._started.is_set():\n raise RuntimeError(\"cannot join thread before it is started\")\n if self is current_thread():\n raise RuntimeError(\"cannot join current thread\")\n\n if timeout is None:\n self._wait_for_tstate_lock()\n else:\n # the behavior of a negative timeout isn't documented, but\n # historically .join(timeout=x) for x<0 has acted as if timeout=0\n self._wait_for_tstate_lock(timeout=max(timeout, 0))\n\n def _wait_for_tstate_lock(self, block=True, timeout=-1):\n # Issue #18808: wait for the thread state to be gone.\n # At the end of the thread's life, after all knowledge of the thread\n # is removed from C data structures, C code releases our _tstate_lock.\n # This method passes its arguments to _tstate_lock.acquire().\n # If the lock is acquired, the C code is done, and self._stop() is\n # called. That sets ._is_stopped to True, and ._tstate_lock to None.\n lock = self._tstate_lock\n if lock is None:\n # already determined that the C code is done\n assert self._is_stopped\n return\n\n try:\n if lock.acquire(block, timeout):\n lock.release()\n self._stop()\n except:\n if lock.locked():\n # bpo-45274: lock.acquire() acquired the lock, but the function\n # was interrupted with an exception before reaching the\n # lock.release(). It can happen if a signal handler raises an\n # exception, like CTRL+C which raises KeyboardInterrupt.\n lock.release()\n self._stop()\n raise\n\n @property\n def name(self):\n \"\"\"A string used for identification purposes only.\n\n It has no semantics. Multiple threads may be given the same name. The\n initial name is set by the constructor.\n\n \"\"\"\n assert self._initialized, \"Thread.__init__() not called\"\n return self._name\n\n @name.setter\n def name(self, name):\n assert self._initialized, \"Thread.__init__() not called\"\n self._name = str(name)\n\n @property\n def ident(self):\n \"\"\"Thread identifier of this thread or None if it has not been started.\n\n This is a nonzero integer. See the get_ident() function. Thread\n identifiers may be recycled when a thread exits and another thread is\n created. The identifier is available even after the thread has exited.\n\n \"\"\"\n assert self._initialized, \"Thread.__init__() not called\"\n return self._ident\n\n if _HAVE_THREAD_NATIVE_ID:\n @property\n def native_id(self):\n \"\"\"Native integral thread ID of this thread, or None if it has not been started.\n\n This is a non-negative integer. See the get_native_id() function.\n This represents the Thread ID as reported by the kernel.\n\n \"\"\"\n assert self._initialized, \"Thread.__init__() not called\"\n return self._native_id\n\n def is_alive(self):\n \"\"\"Return whether the thread is alive.\n\n This method returns True just before the run() method starts until just\n after the run() method terminates. See also the module function\n enumerate().\n\n \"\"\"\n assert self._initialized, \"Thread.__init__() not called\"\n if self._is_stopped or not self._started.is_set():\n return False\n self._wait_for_tstate_lock(False)\n return not self._is_stopped\n\n @property\n def daemon(self):\n \"\"\"A boolean value indicating whether this thread is a daemon thread.\n\n This must be set before start() is called, otherwise RuntimeError is\n raised. Its initial value is inherited from the creating thread; the\n main thread is not a daemon thread and therefore all threads created in\n the main thread default to daemon = False.\n\n The entire Python program exits when only daemon threads are left.\n\n \"\"\"\n assert self._initialized, \"Thread.__init__() not called\"\n return self._daemonic\n\n @daemon.setter\n def daemon(self, daemonic):\n if not self._initialized:\n raise RuntimeError(\"Thread.__init__() not called\")\n if daemonic and not _daemon_threads_allowed():\n raise RuntimeError('daemon threads are disabled in this interpreter')\n if self._started.is_set():\n raise RuntimeError(\"cannot set daemon status of active thread\")\n self._daemonic = daemonic\n\n def isDaemon(self):\n \"\"\"Return whether this thread is a daemon.\n\n This method is deprecated, use the daemon attribute instead.\n\n \"\"\"\n import warnings\n warnings.warn('isDaemon() is deprecated, get the daemon attribute instead',\n DeprecationWarning, stacklevel=2)\n return self.daemon\n\n def setDaemon(self, daemonic):\n \"\"\"Set whether this thread is a daemon.\n\n This method is deprecated, use the .daemon property instead.\n\n \"\"\"\n import warnings\n warnings.warn('setDaemon() is deprecated, set the daemon attribute instead',\n DeprecationWarning, stacklevel=2)\n self.daemon = daemonic\n\n def getName(self):\n \"\"\"Return a string used for identification purposes only.\n\n This method is deprecated, use the name attribute instead.\n\n \"\"\"\n import warnings\n warnings.warn('getName() is deprecated, get the name attribute instead',\n DeprecationWarning, stacklevel=2)\n return self.name\n\n def setName(self, name):\n \"\"\"Set the name string for this thread.\n\n This method is deprecated, use the name attribute instead.\n\n \"\"\"\n import warnings\n warnings.warn('setName() is deprecated, set the name attribute instead',\n DeprecationWarning, stacklevel=2)\n self.name = name\n\n\ntry:\n from _thread import (_excepthook as excepthook,\n _ExceptHookArgs as ExceptHookArgs)\nexcept ImportError:\n # Simple Python implementation if _thread._excepthook() is not available\n from traceback import print_exception as _print_exception\n from collections import namedtuple\n\n _ExceptHookArgs = namedtuple(\n 'ExceptHookArgs',\n 'exc_type exc_value exc_traceback thread')\n\n def ExceptHookArgs(args):\n return _ExceptHookArgs(*args)\n\n def excepthook(args, /):\n \"\"\"\n Handle uncaught Thread.run() exception.\n \"\"\"\n if args.exc_type == SystemExit:\n # silently ignore SystemExit\n return\n\n if _sys is not None and _sys.stderr is not None:\n stderr = _sys.stderr\n elif args.thread is not None:\n stderr = args.thread._stderr\n if stderr is None:\n # do nothing if sys.stderr is None and sys.stderr was None\n # when the thread was created\n return\n else:\n # do nothing if sys.stderr is None and args.thread is None\n return\n\n if args.thread is not None:\n name = args.thread.name\n else:\n name = get_ident()\n print(f\"Exception in thread {name}:\",\n file=stderr, flush=True)\n _print_exception(args.exc_type, args.exc_value, args.exc_traceback,\n file=stderr)\n stderr.flush()\n\n\n# Original value of threading.excepthook\n__excepthook__ = excepthook\n\n\ndef _make_invoke_excepthook():\n # Create a local namespace to ensure that variables remain alive\n # when _invoke_excepthook() is called, even if it is called late during\n # Python shutdown. It is mostly needed for daemon threads.\n\n old_excepthook = excepthook\n old_sys_excepthook = _sys.excepthook\n if old_excepthook is None:\n raise RuntimeError(\"threading.excepthook is None\")\n if old_sys_excepthook is None:\n raise RuntimeError(\"sys.excepthook is None\")\n\n sys_exc_info = _sys.exc_info\n local_print = print\n local_sys = _sys\n\n def invoke_excepthook(thread):\n global excepthook\n try:\n hook = excepthook\n if hook is None:\n hook = old_excepthook\n\n args = ExceptHookArgs([*sys_exc_info(), thread])\n\n hook(args)\n except Exception as exc:\n exc.__suppress_context__ = True\n del exc\n\n if local_sys is not None and local_sys.stderr is not None:\n stderr = local_sys.stderr\n else:\n stderr = thread._stderr\n\n local_print(\"Exception in threading.excepthook:\",\n file=stderr, flush=True)\n\n if local_sys is not None and local_sys.excepthook is not None:\n sys_excepthook = local_sys.excepthook\n else:\n sys_excepthook = old_sys_excepthook\n\n sys_excepthook(*sys_exc_info())\n finally:\n # Break reference cycle (exception stored in a variable)\n args = None\n\n return invoke_excepthook\n\n\n# The timer class was contributed by Itamar Shtull-Trauring\n\nclass Timer(Thread):\n \"\"\"Call a function after a specified number of seconds:\n\n t = Timer(30.0, f, args=None, kwargs=None)\n t.start()\n t.cancel() # stop the timer's action if it's still waiting\n\n \"\"\"\n\n def __init__(self, interval, function, args=None, kwargs=None):\n Thread.__init__(self)\n self.interval = interval\n self.function = function\n self.args = args if args is not None else []\n self.kwargs = kwargs if kwargs is not None else {}\n self.finished = Event()\n\n def cancel(self):\n \"\"\"Stop the timer if it hasn't finished yet.\"\"\"\n self.finished.set()\n\n def run(self):\n self.finished.wait(self.interval)\n if not self.finished.is_set():\n self.function(*self.args, **self.kwargs)\n self.finished.set()\n\n\n# Special thread class to represent the main thread\n\nclass _MainThread(Thread):\n\n def __init__(self):\n Thread.__init__(self, name=\"MainThread\", daemon=False)\n self._set_tstate_lock()\n self._started.set()\n self._set_ident()\n if _HAVE_THREAD_NATIVE_ID:\n self._set_native_id()\n with _active_limbo_lock:\n _active[self._ident] = self\n\n\n# Dummy thread class to represent threads not started here.\n# These aren't garbage collected when they die, nor can they be waited for.\n# If they invoke anything in threading.py that calls current_thread(), they\n# leave an entry in the _active dict forever after.\n# Their purpose is to return *something* from current_thread().\n# They are marked as daemon threads so we won't wait for them\n# when we exit (conform previous semantics).\n\nclass _DummyThread(Thread):\n\n def __init__(self):\n Thread.__init__(self, name=_newname(\"Dummy-%d\"),\n daemon=_daemon_threads_allowed())\n self._started.set()\n self._set_ident()\n if _HAVE_THREAD_NATIVE_ID:\n self._set_native_id()\n with _active_limbo_lock:\n _active[self._ident] = self\n\n def _stop(self):\n pass\n\n def is_alive(self):\n assert not self._is_stopped and self._started.is_set()\n return True\n\n def join(self, timeout=None):\n assert False, \"cannot join a dummy thread\"\n\n\n# Global API functions\n\ndef current_thread():\n \"\"\"Return the current Thread object, corresponding to the caller's thread of control.\n\n If the caller's thread of control was not created through the threading\n module, a dummy thread object with limited functionality is returned.\n\n \"\"\"\n try:\n return _active[get_ident()]\n except KeyError:\n return _DummyThread()\n\ndef currentThread():\n \"\"\"Return the current Thread object, corresponding to the caller's thread of control.\n\n This function is deprecated, use current_thread() instead.\n\n \"\"\"\n import warnings\n warnings.warn('currentThread() is deprecated, use current_thread() instead',\n DeprecationWarning, stacklevel=2)\n return current_thread()\n\ndef active_count():\n \"\"\"Return the number of Thread objects currently alive.\n\n The returned count is equal to the length of the list returned by\n enumerate().\n\n \"\"\"\n # NOTE: if the logic in here ever changes, update Modules/posixmodule.c\n # warn_about_fork_with_threads() to match.\n with _active_limbo_lock:\n return len(_active) + len(_limbo)\n\ndef activeCount():\n \"\"\"Return the number of Thread objects currently alive.\n\n This function is deprecated, use active_count() instead.\n\n \"\"\"\n import warnings\n warnings.warn('activeCount() is deprecated, use active_count() instead',\n DeprecationWarning, stacklevel=2)\n return active_count()\n\ndef _enumerate():\n # Same as enumerate(), but without the lock. Internal use only.\n return list(_active.values()) + list(_limbo.values())\n\ndef enumerate():\n \"\"\"Return a list of all Thread objects currently alive.\n\n The list includes daemonic threads, dummy thread objects created by\n current_thread(), and the main thread. It excludes terminated threads and\n threads that have not yet been started.\n\n \"\"\"\n with _active_limbo_lock:\n return list(_active.values()) + list(_limbo.values())\n\n\n_threading_atexits = []\n_SHUTTING_DOWN = False\n\ndef _register_atexit(func, *arg, **kwargs):\n \"\"\"CPython internal: register *func* to be called before joining threads.\n\n The registered *func* is called with its arguments just before all\n non-daemon threads are joined in `_shutdown()`. It provides a similar\n purpose to `atexit.register()`, but its functions are called prior to\n threading shutdown instead of interpreter shutdown.\n\n For similarity to atexit, the registered functions are called in reverse.\n \"\"\"\n if _SHUTTING_DOWN:\n raise RuntimeError(\"can't register atexit after shutdown\")\n\n call = functools.partial(func, *arg, **kwargs)\n _threading_atexits.append(call)\n\n\nfrom _thread import stack_size\n\n# Create the main thread object,\n# and make it available for the interpreter\n# (Py_Main) as threading._shutdown.\n\n_main_thread = _MainThread()\n\ndef _shutdown():\n \"\"\"\n Wait until the Python thread state of all non-daemon threads get deleted.\n \"\"\"\n # Obscure: other threads may be waiting to join _main_thread. That's\n # dubious, but some code does it. We can't wait for C code to release\n # the main thread's tstate_lock - that won't happen until the interpreter\n # is nearly dead. So we release it here. Note that just calling _stop()\n # isn't enough: other threads may already be waiting on _tstate_lock.\n if _main_thread._is_stopped and _is_main_interpreter():\n # _shutdown() was already called\n return\n\n global _SHUTTING_DOWN\n _SHUTTING_DOWN = True\n\n # Call registered threading atexit functions before threads are joined.\n # Order is reversed, similar to atexit.\n for atexit_call in reversed(_threading_atexits):\n atexit_call()\n\n # Main thread\n if _main_thread.ident == get_ident():\n tlock = _main_thread._tstate_lock\n # The main thread isn't finished yet, so its thread state lock can't\n # have been released.\n assert tlock is not None\n assert tlock.locked()\n tlock.release()\n _main_thread._stop()\n else:\n # bpo-1596321: _shutdown() must be called in the main thread.\n # If the threading module was not imported by the main thread,\n # _main_thread is the thread which imported the threading module.\n # In this case, ignore _main_thread, similar behavior than for threads\n # spawned by C libraries or using _thread.start_new_thread().\n pass\n\n # Join all non-deamon threads\n while True:\n with _shutdown_locks_lock:\n locks = list(_shutdown_locks)\n _shutdown_locks.clear()\n\n if not locks:\n break\n\n for lock in locks:\n # mimic Thread.join()\n lock.acquire()\n lock.release()\n\n # new threads can be spawned while we were waiting for the other\n # threads to complete\n\n\ndef main_thread():\n \"\"\"Return the main thread object.\n\n In normal conditions, the main thread is the thread from which the\n Python interpreter was started.\n \"\"\"\n # XXX Figure this out for subinterpreters. (See gh-75698.)\n return _main_thread\n\n# get thread-local implementation, either from the thread\n# module, or from the python fallback\n\ntry:\n from _thread import _local as local\nexcept ImportError:\n from _threading_local import local\n\n\ndef _after_fork():\n \"\"\"\n Cleanup threading module state that should not exist after a fork.\n \"\"\"\n # Reset _active_limbo_lock, in case we forked while the lock was held\n # by another (non-forked) thread. http://bugs.python.org/issue874900\n global _active_limbo_lock, _main_thread\n global _shutdown_locks_lock, _shutdown_locks\n _active_limbo_lock = RLock()\n\n # fork() only copied the current thread; clear references to others.\n new_active = {}\n\n try:\n current = _active[get_ident()]\n except KeyError:\n # fork() was called in a thread which was not spawned\n # by threading.Thread. For example, a thread spawned\n # by thread.start_new_thread().\n current = _MainThread()\n\n _main_thread = current\n\n # reset _shutdown() locks: threads re-register their _tstate_lock below\n _shutdown_locks_lock = _allocate_lock()\n _shutdown_locks = set()\n\n with _active_limbo_lock:\n # Dangling thread instances must still have their locks reset,\n # because someone may join() them.\n threads = set(_enumerate())\n threads.update(_dangling)\n for thread in threads:\n # Any lock/condition variable may be currently locked or in an\n # invalid state, so we reinitialize them.\n if thread is current:\n # There is only one active thread. We reset the ident to\n # its new value since it can have changed.\n thread._reset_internal_locks(True)\n ident = get_ident()\n if isinstance(thread, _DummyThread):\n thread.__class__ = _MainThread\n thread._name = 'MainThread'\n thread._daemonic = False\n thread._set_tstate_lock()\n thread._ident = ident\n new_active[ident] = thread\n else:\n # All the others are already stopped.\n thread._reset_internal_locks(False)\n thread._stop()\n\n _limbo.clear()\n _active.clear()\n _active.update(new_active)\n assert len(_active) == 1\n\n\nif hasattr(_os, \"register_at_fork\"):\n _os.register_at_fork(after_in_child=_after_fork)\n", 1706], "/usr/lib/python3.12/signal.py": ["import _signal\nfrom _signal import *\nfrom enum import IntEnum as _IntEnum\n\n_globals = globals()\n\n_IntEnum._convert_(\n 'Signals', __name__,\n lambda name:\n name.isupper()\n and (name.startswith('SIG') and not name.startswith('SIG_'))\n or name.startswith('CTRL_'))\n\n_IntEnum._convert_(\n 'Handlers', __name__,\n lambda name: name in ('SIG_DFL', 'SIG_IGN'))\n\nif 'pthread_sigmask' in _globals:\n _IntEnum._convert_(\n 'Sigmasks', __name__,\n lambda name: name in ('SIG_BLOCK', 'SIG_UNBLOCK', 'SIG_SETMASK'))\n\n\ndef _int_to_enum(value, enum_klass):\n \"\"\"Convert a possible numeric value to an IntEnum member.\n If it's not a known member, return the value itself.\n \"\"\"\n if not isinstance(value, int):\n return value\n try:\n return enum_klass(value)\n except ValueError:\n return value\n\n\ndef _enum_to_int(value):\n \"\"\"Convert an IntEnum member to a numeric value.\n If it's not an IntEnum member return the value itself.\n \"\"\"\n try:\n return int(value)\n except (ValueError, TypeError):\n return value\n\n\n# Similar to functools.wraps(), but only assign __doc__.\n# __module__ should be preserved,\n# __name__ and __qualname__ are already fine,\n# __annotations__ is not set.\ndef _wraps(wrapped):\n def decorator(wrapper):\n wrapper.__doc__ = wrapped.__doc__\n return wrapper\n return decorator\n\n@_wraps(_signal.signal)\ndef signal(signalnum, handler):\n handler = _signal.signal(_enum_to_int(signalnum), _enum_to_int(handler))\n return _int_to_enum(handler, Handlers)\n\n\n@_wraps(_signal.getsignal)\ndef getsignal(signalnum):\n handler = _signal.getsignal(signalnum)\n return _int_to_enum(handler, Handlers)\n\n\nif 'pthread_sigmask' in _globals:\n @_wraps(_signal.pthread_sigmask)\n def pthread_sigmask(how, mask):\n sigs_set = _signal.pthread_sigmask(how, mask)\n return set(_int_to_enum(x, Signals) for x in sigs_set)\n\n\nif 'sigpending' in _globals:\n @_wraps(_signal.sigpending)\n def sigpending():\n return {_int_to_enum(x, Signals) for x in _signal.sigpending()}\n\n\nif 'sigwait' in _globals:\n @_wraps(_signal.sigwait)\n def sigwait(sigset):\n retsig = _signal.sigwait(sigset)\n return _int_to_enum(retsig, Signals)\n\n\nif 'valid_signals' in _globals:\n @_wraps(_signal.valid_signals)\n def valid_signals():\n return {_int_to_enum(x, Signals) for x in _signal.valid_signals()}\n\n\ndel _globals, _wraps\n", 94], "/usr/lib/python3.12/asyncio/base_futures.py": ["__all__ = ()\n\nimport reprlib\n\nfrom . import format_helpers\n\n# States for Future.\n_PENDING = 'PENDING'\n_CANCELLED = 'CANCELLED'\n_FINISHED = 'FINISHED'\n\n\ndef isfuture(obj):\n \"\"\"Check for a Future.\n\n This returns True when obj is a Future instance or is advertising\n itself as duck-type compatible by setting _asyncio_future_blocking.\n See comment in Future for more details.\n \"\"\"\n return (hasattr(obj.__class__, '_asyncio_future_blocking') and\n obj._asyncio_future_blocking is not None)\n\n\ndef _format_callbacks(cb):\n \"\"\"helper function for Future.__repr__\"\"\"\n size = len(cb)\n if not size:\n cb = ''\n\n def format_cb(callback):\n return format_helpers._format_callback_source(callback, ())\n\n if size == 1:\n cb = format_cb(cb[0][0])\n elif size == 2:\n cb = '{}, {}'.format(format_cb(cb[0][0]), format_cb(cb[1][0]))\n elif size > 2:\n cb = '{}, <{} more>, {}'.format(format_cb(cb[0][0]),\n size - 2,\n format_cb(cb[-1][0]))\n return f'cb=[{cb}]'\n\n\ndef _future_repr_info(future):\n # (Future) -> str\n \"\"\"helper function for Future.__repr__\"\"\"\n info = [future._state.lower()]\n if future._state == _FINISHED:\n if future._exception is not None:\n info.append(f'exception={future._exception!r}')\n else:\n # use reprlib to limit the length of the output, especially\n # for very long strings\n result = reprlib.repr(future._result)\n info.append(f'result={result}')\n if future._callbacks:\n info.append(_format_callbacks(future._callbacks))\n if future._source_traceback:\n frame = future._source_traceback[-1]\n info.append(f'created at {frame[0]}:{frame[1]}')\n return info\n\n\n@reprlib.recursive_repr()\ndef _future_repr(future):\n info = ' '.join(_future_repr_info(future))\n return f'<{future.__class__.__name__} {info}>'\n", 67], "/usr/lib/python3.12/asyncio/futures.py": ["\"\"\"A Future class similar to the one in PEP 3148.\"\"\"\n\n__all__ = (\n 'Future', 'wrap_future', 'isfuture',\n)\n\nimport concurrent.futures\nimport contextvars\nimport logging\nimport sys\nfrom types import GenericAlias\n\nfrom . import base_futures\nfrom . import events\nfrom . import exceptions\nfrom . import format_helpers\n\n\nisfuture = base_futures.isfuture\n\n\n_PENDING = base_futures._PENDING\n_CANCELLED = base_futures._CANCELLED\n_FINISHED = base_futures._FINISHED\n\n\nSTACK_DEBUG = logging.DEBUG - 1 # heavy-duty debugging\n\n\nclass Future:\n \"\"\"This class is *almost* compatible with concurrent.futures.Future.\n\n Differences:\n\n - This class is not thread-safe.\n\n - result() and exception() do not take a timeout argument and\n raise an exception when the future isn't done yet.\n\n - Callbacks registered with add_done_callback() are always called\n via the event loop's call_soon().\n\n - This class is not compatible with the wait() and as_completed()\n methods in the concurrent.futures package.\n\n (In Python 3.4 or later we may be able to unify the implementations.)\n \"\"\"\n\n # Class variables serving as defaults for instance variables.\n _state = _PENDING\n _result = None\n _exception = None\n _loop = None\n _source_traceback = None\n _cancel_message = None\n # A saved CancelledError for later chaining as an exception context.\n _cancelled_exc = None\n\n # This field is used for a dual purpose:\n # - Its presence is a marker to declare that a class implements\n # the Future protocol (i.e. is intended to be duck-type compatible).\n # The value must also be not-None, to enable a subclass to declare\n # that it is not compatible by setting this to None.\n # - It is set by __iter__() below so that Task._step() can tell\n # the difference between\n # `await Future()` or`yield from Future()` (correct) vs.\n # `yield Future()` (incorrect).\n _asyncio_future_blocking = False\n\n __log_traceback = False\n\n def __init__(self, *, loop=None):\n \"\"\"Initialize the future.\n\n The optional event_loop argument allows explicitly setting the event\n loop object used by the future. If it's not provided, the future uses\n the default event loop.\n \"\"\"\n if loop is None:\n self._loop = events.get_event_loop()\n else:\n self._loop = loop\n self._callbacks = []\n if self._loop.get_debug():\n self._source_traceback = format_helpers.extract_stack(\n sys._getframe(1))\n\n def __repr__(self):\n return base_futures._future_repr(self)\n\n def __del__(self):\n if not self.__log_traceback:\n # set_exception() was not called, or result() or exception()\n # has consumed the exception\n return\n exc = self._exception\n context = {\n 'message':\n f'{self.__class__.__name__} exception was never retrieved',\n 'exception': exc,\n 'future': self,\n }\n if self._source_traceback:\n context['source_traceback'] = self._source_traceback\n self._loop.call_exception_handler(context)\n\n __class_getitem__ = classmethod(GenericAlias)\n\n @property\n def _log_traceback(self):\n return self.__log_traceback\n\n @_log_traceback.setter\n def _log_traceback(self, val):\n if val:\n raise ValueError('_log_traceback can only be set to False')\n self.__log_traceback = False\n\n def get_loop(self):\n \"\"\"Return the event loop the Future is bound to.\"\"\"\n loop = self._loop\n if loop is None:\n raise RuntimeError(\"Future object is not initialized.\")\n return loop\n\n def _make_cancelled_error(self):\n \"\"\"Create the CancelledError to raise if the Future is cancelled.\n\n This should only be called once when handling a cancellation since\n it erases the saved context exception value.\n \"\"\"\n if self._cancelled_exc is not None:\n exc = self._cancelled_exc\n self._cancelled_exc = None\n return exc\n\n if self._cancel_message is None:\n exc = exceptions.CancelledError()\n else:\n exc = exceptions.CancelledError(self._cancel_message)\n exc.__context__ = self._cancelled_exc\n # Remove the reference since we don't need this anymore.\n self._cancelled_exc = None\n return exc\n\n def cancel(self, msg=None):\n \"\"\"Cancel the future and schedule callbacks.\n\n If the future is already done or cancelled, return False. Otherwise,\n change the future's state to cancelled, schedule the callbacks and\n return True.\n \"\"\"\n self.__log_traceback = False\n if self._state != _PENDING:\n return False\n self._state = _CANCELLED\n self._cancel_message = msg\n self.__schedule_callbacks()\n return True\n\n def __schedule_callbacks(self):\n \"\"\"Internal: Ask the event loop to call all callbacks.\n\n The callbacks are scheduled to be called as soon as possible. Also\n clears the callback list.\n \"\"\"\n callbacks = self._callbacks[:]\n if not callbacks:\n return\n\n self._callbacks[:] = []\n for callback, ctx in callbacks:\n self._loop.call_soon(callback, self, context=ctx)\n\n def cancelled(self):\n \"\"\"Return True if the future was cancelled.\"\"\"\n return self._state == _CANCELLED\n\n # Don't implement running(); see http://bugs.python.org/issue18699\n\n def done(self):\n \"\"\"Return True if the future is done.\n\n Done means either that a result / exception are available, or that the\n future was cancelled.\n \"\"\"\n return self._state != _PENDING\n\n def result(self):\n \"\"\"Return the result this future represents.\n\n If the future has been cancelled, raises CancelledError. If the\n future's result isn't yet available, raises InvalidStateError. If\n the future is done and has an exception set, this exception is raised.\n \"\"\"\n if self._state == _CANCELLED:\n exc = self._make_cancelled_error()\n raise exc\n if self._state != _FINISHED:\n raise exceptions.InvalidStateError('Result is not ready.')\n self.__log_traceback = False\n if self._exception is not None:\n raise self._exception.with_traceback(self._exception_tb)\n return self._result\n\n def exception(self):\n \"\"\"Return the exception that was set on this future.\n\n The exception (or None if no exception was set) is returned only if\n the future is done. If the future has been cancelled, raises\n CancelledError. If the future isn't done yet, raises\n InvalidStateError.\n \"\"\"\n if self._state == _CANCELLED:\n exc = self._make_cancelled_error()\n raise exc\n if self._state != _FINISHED:\n raise exceptions.InvalidStateError('Exception is not set.')\n self.__log_traceback = False\n return self._exception\n\n def add_done_callback(self, fn, *, context=None):\n \"\"\"Add a callback to be run when the future becomes done.\n\n The callback is called with a single argument - the future object. If\n the future is already done when this is called, the callback is\n scheduled with call_soon.\n \"\"\"\n if self._state != _PENDING:\n self._loop.call_soon(fn, self, context=context)\n else:\n if context is None:\n context = contextvars.copy_context()\n self._callbacks.append((fn, context))\n\n # New method not in PEP 3148.\n\n def remove_done_callback(self, fn):\n \"\"\"Remove all instances of a callback from the \"call when done\" list.\n\n Returns the number of callbacks removed.\n \"\"\"\n filtered_callbacks = [(f, ctx)\n for (f, ctx) in self._callbacks\n if f != fn]\n removed_count = len(self._callbacks) - len(filtered_callbacks)\n if removed_count:\n self._callbacks[:] = filtered_callbacks\n return removed_count\n\n # So-called internal methods (note: no set_running_or_notify_cancel()).\n\n def set_result(self, result):\n \"\"\"Mark the future done and set its result.\n\n If the future is already done when this method is called, raises\n InvalidStateError.\n \"\"\"\n if self._state != _PENDING:\n raise exceptions.InvalidStateError(f'{self._state}: {self!r}')\n self._result = result\n self._state = _FINISHED\n self.__schedule_callbacks()\n\n def set_exception(self, exception):\n \"\"\"Mark the future done and set an exception.\n\n If the future is already done when this method is called, raises\n InvalidStateError.\n \"\"\"\n if self._state != _PENDING:\n raise exceptions.InvalidStateError(f'{self._state}: {self!r}')\n if isinstance(exception, type):\n exception = exception()\n if type(exception) is StopIteration:\n raise TypeError(\"StopIteration interacts badly with generators \"\n \"and cannot be raised into a Future\")\n self._exception = exception\n self._exception_tb = exception.__traceback__\n self._state = _FINISHED\n self.__schedule_callbacks()\n self.__log_traceback = True\n\n def __await__(self):\n if not self.done():\n self._asyncio_future_blocking = True\n yield self # This tells Task to wait for completion.\n if not self.done():\n raise RuntimeError(\"await wasn't used with future\")\n return self.result() # May raise too.\n\n __iter__ = __await__ # make compatible with 'yield from'.\n\n\n# Needed for testing purposes.\n_PyFuture = Future\n\n\ndef _get_loop(fut):\n # Tries to call Future.get_loop() if it's available.\n # Otherwise fallbacks to using the old '_loop' property.\n try:\n get_loop = fut.get_loop\n except AttributeError:\n pass\n else:\n return get_loop()\n return fut._loop\n\n\ndef _set_result_unless_cancelled(fut, result):\n \"\"\"Helper setting the result only if the future was not cancelled.\"\"\"\n if fut.cancelled():\n return\n fut.set_result(result)\n\n\ndef _convert_future_exc(exc):\n exc_class = type(exc)\n if exc_class is concurrent.futures.CancelledError:\n return exceptions.CancelledError(*exc.args)\n elif exc_class is concurrent.futures.TimeoutError:\n return exceptions.TimeoutError(*exc.args)\n elif exc_class is concurrent.futures.InvalidStateError:\n return exceptions.InvalidStateError(*exc.args)\n else:\n return exc\n\n\ndef _set_concurrent_future_state(concurrent, source):\n \"\"\"Copy state from a future to a concurrent.futures.Future.\"\"\"\n assert source.done()\n if source.cancelled():\n concurrent.cancel()\n if not concurrent.set_running_or_notify_cancel():\n return\n exception = source.exception()\n if exception is not None:\n concurrent.set_exception(_convert_future_exc(exception))\n else:\n result = source.result()\n concurrent.set_result(result)\n\n\ndef _copy_future_state(source, dest):\n \"\"\"Internal helper to copy state from another Future.\n\n The other Future may be a concurrent.futures.Future.\n \"\"\"\n assert source.done()\n if dest.cancelled():\n return\n assert not dest.done()\n if source.cancelled():\n dest.cancel()\n else:\n exception = source.exception()\n if exception is not None:\n dest.set_exception(_convert_future_exc(exception))\n else:\n result = source.result()\n dest.set_result(result)\n\n\ndef _chain_future(source, destination):\n \"\"\"Chain two futures so that when one completes, so does the other.\n\n The result (or exception) of source will be copied to destination.\n If destination is cancelled, source gets cancelled too.\n Compatible with both asyncio.Future and concurrent.futures.Future.\n \"\"\"\n if not isfuture(source) and not isinstance(source,\n concurrent.futures.Future):\n raise TypeError('A future is required for source argument')\n if not isfuture(destination) and not isinstance(destination,\n concurrent.futures.Future):\n raise TypeError('A future is required for destination argument')\n source_loop = _get_loop(source) if isfuture(source) else None\n dest_loop = _get_loop(destination) if isfuture(destination) else None\n\n def _set_state(future, other):\n if isfuture(future):\n _copy_future_state(other, future)\n else:\n _set_concurrent_future_state(future, other)\n\n def _call_check_cancel(destination):\n if destination.cancelled():\n if source_loop is None or source_loop is dest_loop:\n source.cancel()\n else:\n source_loop.call_soon_threadsafe(source.cancel)\n\n def _call_set_state(source):\n if (destination.cancelled() and\n dest_loop is not None and dest_loop.is_closed()):\n return\n if dest_loop is None or dest_loop is source_loop:\n _set_state(destination, source)\n else:\n if dest_loop.is_closed():\n return\n dest_loop.call_soon_threadsafe(_set_state, destination, source)\n\n destination.add_done_callback(_call_check_cancel)\n source.add_done_callback(_call_set_state)\n\n\ndef wrap_future(future, *, loop=None):\n \"\"\"Wrap concurrent.futures.Future object.\"\"\"\n if isfuture(future):\n return future\n assert isinstance(future, concurrent.futures.Future), \\\n f'concurrent.futures.Future is expected, got {future!r}'\n if loop is None:\n loop = events.get_event_loop()\n new_future = loop.create_future()\n _chain_future(future, new_future)\n return new_future\n\n\ntry:\n import _asyncio\nexcept ImportError:\n pass\nelse:\n # _CFuture is needed for tests.\n Future = _CFuture = _asyncio.Future\n", 428], "/usr/lib/python3.12/asyncio/tasks.py": ["\"\"\"Support for tasks, coroutines and the scheduler.\"\"\"\n\n__all__ = (\n 'Task', 'create_task',\n 'FIRST_COMPLETED', 'FIRST_EXCEPTION', 'ALL_COMPLETED',\n 'wait', 'wait_for', 'as_completed', 'sleep',\n 'gather', 'shield', 'ensure_future', 'run_coroutine_threadsafe',\n 'current_task', 'all_tasks',\n 'create_eager_task_factory', 'eager_task_factory',\n '_register_task', '_unregister_task', '_enter_task', '_leave_task',\n)\n\nimport concurrent.futures\nimport contextvars\nimport functools\nimport inspect\nimport itertools\nimport types\nimport warnings\nimport weakref\nfrom types import GenericAlias\n\nfrom . import base_tasks\nfrom . import coroutines\nfrom . import events\nfrom . import exceptions\nfrom . import futures\nfrom . import timeouts\n\n# Helper to generate new task names\n# This uses itertools.count() instead of a \"+= 1\" operation because the latter\n# is not thread safe. See bpo-11866 for a longer explanation.\n_task_name_counter = itertools.count(1).__next__\n\n\ndef current_task(loop=None):\n \"\"\"Return a currently executed task.\"\"\"\n if loop is None:\n loop = events.get_running_loop()\n return _current_tasks.get(loop)\n\n\ndef all_tasks(loop=None):\n \"\"\"Return a set of all tasks for the loop.\"\"\"\n if loop is None:\n loop = events.get_running_loop()\n # capturing the set of eager tasks first, so if an eager task \"graduates\"\n # to a regular task in another thread, we don't risk missing it.\n eager_tasks = list(_eager_tasks)\n # Looping over the WeakSet isn't safe as it can be updated from another\n # thread, therefore we cast it to list prior to filtering. The list cast\n # itself requires iteration, so we repeat it several times ignoring\n # RuntimeErrors (which are not very likely to occur).\n # See issues 34970 and 36607 for details.\n scheduled_tasks = None\n i = 0\n while True:\n try:\n scheduled_tasks = list(_scheduled_tasks)\n except RuntimeError:\n i += 1\n if i >= 1000:\n raise\n else:\n break\n return {t for t in itertools.chain(scheduled_tasks, eager_tasks)\n if futures._get_loop(t) is loop and not t.done()}\n\n\ndef _set_task_name(task, name):\n if name is not None:\n try:\n set_name = task.set_name\n except AttributeError:\n warnings.warn(\"Task.set_name() was added in Python 3.8, \"\n \"the method support will be mandatory for third-party \"\n \"task implementations since 3.13.\",\n DeprecationWarning, stacklevel=3)\n else:\n set_name(name)\n\n\nclass Task(futures._PyFuture): # Inherit Python Task implementation\n # from a Python Future implementation.\n\n \"\"\"A coroutine wrapped in a Future.\"\"\"\n\n # An important invariant maintained while a Task not done:\n # _fut_waiter is either None or a Future. The Future\n # can be either done() or not done().\n # The task can be in any of 3 states:\n #\n # - 1: _fut_waiter is not None and not _fut_waiter.done():\n # __step() is *not* scheduled and the Task is waiting for _fut_waiter.\n # - 2: (_fut_waiter is None or _fut_waiter.done()) and __step() is scheduled:\n # the Task is waiting for __step() to be executed.\n # - 3: _fut_waiter is None and __step() is *not* scheduled:\n # the Task is currently executing (in __step()).\n #\n # * In state 1, one of the callbacks of __fut_waiter must be __wakeup().\n # * The transition from 1 to 2 happens when _fut_waiter becomes done(),\n # as it schedules __wakeup() to be called (which calls __step() so\n # we way that __step() is scheduled).\n # * It transitions from 2 to 3 when __step() is executed, and it clears\n # _fut_waiter to None.\n\n # If False, don't log a message if the task is destroyed while its\n # status is still pending\n _log_destroy_pending = True\n\n def __init__(self, coro, *, loop=None, name=None, context=None,\n eager_start=False):\n super().__init__(loop=loop)\n if self._source_traceback:\n del self._source_traceback[-1]\n if not coroutines.iscoroutine(coro):\n # raise after Future.__init__(), attrs are required for __del__\n # prevent logging for pending task in __del__\n self._log_destroy_pending = False\n raise TypeError(f\"a coroutine was expected, got {coro!r}\")\n\n if name is None:\n self._name = f'Task-{_task_name_counter()}'\n else:\n self._name = str(name)\n\n self._num_cancels_requested = 0\n self._must_cancel = False\n self._fut_waiter = None\n self._coro = coro\n if context is None:\n self._context = contextvars.copy_context()\n else:\n self._context = context\n\n if eager_start and self._loop.is_running():\n self.__eager_start()\n else:\n self._loop.call_soon(self.__step, context=self._context)\n _register_task(self)\n\n def __del__(self):\n if self._state == futures._PENDING and self._log_destroy_pending:\n context = {\n 'task': self,\n 'message': 'Task was destroyed but it is pending!',\n }\n if self._source_traceback:\n context['source_traceback'] = self._source_traceback\n self._loop.call_exception_handler(context)\n super().__del__()\n\n __class_getitem__ = classmethod(GenericAlias)\n\n def __repr__(self):\n return base_tasks._task_repr(self)\n\n def get_coro(self):\n return self._coro\n\n def get_context(self):\n return self._context\n\n def get_name(self):\n return self._name\n\n def set_name(self, value):\n self._name = str(value)\n\n def set_result(self, result):\n raise RuntimeError('Task does not support set_result operation')\n\n def set_exception(self, exception):\n raise RuntimeError('Task does not support set_exception operation')\n\n def get_stack(self, *, limit=None):\n \"\"\"Return the list of stack frames for this task's coroutine.\n\n If the coroutine is not done, this returns the stack where it is\n suspended. If the coroutine has completed successfully or was\n cancelled, this returns an empty list. If the coroutine was\n terminated by an exception, this returns the list of traceback\n frames.\n\n The frames are always ordered from oldest to newest.\n\n The optional limit gives the maximum number of frames to\n return; by default all available frames are returned. Its\n meaning differs depending on whether a stack or a traceback is\n returned: the newest frames of a stack are returned, but the\n oldest frames of a traceback are returned. (This matches the\n behavior of the traceback module.)\n\n For reasons beyond our control, only one stack frame is\n returned for a suspended coroutine.\n \"\"\"\n return base_tasks._task_get_stack(self, limit)\n\n def print_stack(self, *, limit=None, file=None):\n \"\"\"Print the stack or traceback for this task's coroutine.\n\n This produces output similar to that of the traceback module,\n for the frames retrieved by get_stack(). The limit argument\n is passed to get_stack(). The file argument is an I/O stream\n to which the output is written; by default output is written\n to sys.stderr.\n \"\"\"\n return base_tasks._task_print_stack(self, limit, file)\n\n def cancel(self, msg=None):\n \"\"\"Request that this task cancel itself.\n\n This arranges for a CancelledError to be thrown into the\n wrapped coroutine on the next cycle through the event loop.\n The coroutine then has a chance to clean up or even deny\n the request using try/except/finally.\n\n Unlike Future.cancel, this does not guarantee that the\n task will be cancelled: the exception might be caught and\n acted upon, delaying cancellation of the task or preventing\n cancellation completely. The task may also return a value or\n raise a different exception.\n\n Immediately after this method is called, Task.cancelled() will\n not return True (unless the task was already cancelled). A\n task will be marked as cancelled when the wrapped coroutine\n terminates with a CancelledError exception (even if cancel()\n was not called).\n\n This also increases the task's count of cancellation requests.\n \"\"\"\n self._log_traceback = False\n if self.done():\n return False\n self._num_cancels_requested += 1\n # These two lines are controversial. See discussion starting at\n # https://github.com/python/cpython/pull/31394#issuecomment-1053545331\n # Also remember that this is duplicated in _asynciomodule.c.\n # if self._num_cancels_requested > 1:\n # return False\n if self._fut_waiter is not None:\n if self._fut_waiter.cancel(msg=msg):\n # Leave self._fut_waiter; it may be a Task that\n # catches and ignores the cancellation so we may have\n # to cancel it again later.\n return True\n # It must be the case that self.__step is already scheduled.\n self._must_cancel = True\n self._cancel_message = msg\n return True\n\n def cancelling(self):\n \"\"\"Return the count of the task's cancellation requests.\n\n This count is incremented when .cancel() is called\n and may be decremented using .uncancel().\n \"\"\"\n return self._num_cancels_requested\n\n def uncancel(self):\n \"\"\"Decrement the task's count of cancellation requests.\n\n This should be called by the party that called `cancel()` on the task\n beforehand.\n\n Returns the remaining number of cancellation requests.\n \"\"\"\n if self._num_cancels_requested > 0:\n self._num_cancels_requested -= 1\n return self._num_cancels_requested\n\n def __eager_start(self):\n prev_task = _swap_current_task(self._loop, self)\n try:\n _register_eager_task(self)\n try:\n self._context.run(self.__step_run_and_handle_result, None)\n finally:\n _unregister_eager_task(self)\n finally:\n try:\n curtask = _swap_current_task(self._loop, prev_task)\n assert curtask is self\n finally:\n if self.done():\n self._coro = None\n self = None # Needed to break cycles when an exception occurs.\n else:\n _register_task(self)\n\n def __step(self, exc=None):\n if self.done():\n raise exceptions.InvalidStateError(\n f'_step(): already done: {self!r}, {exc!r}')\n if self._must_cancel:\n if not isinstance(exc, exceptions.CancelledError):\n exc = self._make_cancelled_error()\n self._must_cancel = False\n self._fut_waiter = None\n\n _enter_task(self._loop, self)\n try:\n self.__step_run_and_handle_result(exc)\n finally:\n _leave_task(self._loop, self)\n self = None # Needed to break cycles when an exception occurs.\n\n def __step_run_and_handle_result(self, exc):\n coro = self._coro\n try:\n if exc is None:\n # We use the `send` method directly, because coroutines\n # don't have `__iter__` and `__next__` methods.\n result = coro.send(None)\n else:\n result = coro.throw(exc)\n except StopIteration as exc:\n if self._must_cancel:\n # Task is cancelled right before coro stops.\n self._must_cancel = False\n super().cancel(msg=self._cancel_message)\n else:\n super().set_result(exc.value)\n except exceptions.CancelledError as exc:\n # Save the original exception so we can chain it later.\n self._cancelled_exc = exc\n super().cancel() # I.e., Future.cancel(self).\n except (KeyboardInterrupt, SystemExit) as exc:\n super().set_exception(exc)\n raise\n except BaseException as exc:\n super().set_exception(exc)\n else:\n blocking = getattr(result, '_asyncio_future_blocking', None)\n if blocking is not None:\n # Yielded Future must come from Future.__iter__().\n if futures._get_loop(result) is not self._loop:\n new_exc = RuntimeError(\n f'Task {self!r} got Future '\n f'{result!r} attached to a different loop')\n self._loop.call_soon(\n self.__step, new_exc, context=self._context)\n elif blocking:\n if result is self:\n new_exc = RuntimeError(\n f'Task cannot await on itself: {self!r}')\n self._loop.call_soon(\n self.__step, new_exc, context=self._context)\n else:\n result._asyncio_future_blocking = False\n result.add_done_callback(\n self.__wakeup, context=self._context)\n self._fut_waiter = result\n if self._must_cancel:\n if self._fut_waiter.cancel(\n msg=self._cancel_message):\n self._must_cancel = False\n else:\n new_exc = RuntimeError(\n f'yield was used instead of yield from '\n f'in task {self!r} with {result!r}')\n self._loop.call_soon(\n self.__step, new_exc, context=self._context)\n\n elif result is None:\n # Bare yield relinquishes control for one event loop iteration.\n self._loop.call_soon(self.__step, context=self._context)\n elif inspect.isgenerator(result):\n # Yielding a generator is just wrong.\n new_exc = RuntimeError(\n f'yield was used instead of yield from for '\n f'generator in task {self!r} with {result!r}')\n self._loop.call_soon(\n self.__step, new_exc, context=self._context)\n else:\n # Yielding something else is an error.\n new_exc = RuntimeError(f'Task got bad yield: {result!r}')\n self._loop.call_soon(\n self.__step, new_exc, context=self._context)\n finally:\n self = None # Needed to break cycles when an exception occurs.\n\n def __wakeup(self, future):\n try:\n future.result()\n except BaseException as exc:\n # This may also be a cancellation.\n self.__step(exc)\n else:\n # Don't pass the value of `future.result()` explicitly,\n # as `Future.__iter__` and `Future.__await__` don't need it.\n # If we call `_step(value, None)` instead of `_step()`,\n # Python eval loop would use `.send(value)` method call,\n # instead of `__next__()`, which is slower for futures\n # that return non-generator iterators from their `__iter__`.\n self.__step()\n self = None # Needed to break cycles when an exception occurs.\n\n\n_PyTask = Task\n\n\ntry:\n import _asyncio\nexcept ImportError:\n pass\nelse:\n # _CTask is needed for tests.\n Task = _CTask = _asyncio.Task\n\n\ndef create_task(coro, *, name=None, context=None):\n \"\"\"Schedule the execution of a coroutine object in a spawn task.\n\n Return a Task object.\n \"\"\"\n loop = events.get_running_loop()\n if context is None:\n # Use legacy API if context is not needed\n task = loop.create_task(coro)\n else:\n task = loop.create_task(coro, context=context)\n\n _set_task_name(task, name)\n return task\n\n\n# wait() and as_completed() similar to those in PEP 3148.\n\nFIRST_COMPLETED = concurrent.futures.FIRST_COMPLETED\nFIRST_EXCEPTION = concurrent.futures.FIRST_EXCEPTION\nALL_COMPLETED = concurrent.futures.ALL_COMPLETED\n\n\nasync def wait(fs, *, timeout=None, return_when=ALL_COMPLETED):\n \"\"\"Wait for the Futures or Tasks given by fs to complete.\n\n The fs iterable must not be empty.\n\n Coroutines will be wrapped in Tasks.\n\n Returns two sets of Future: (done, pending).\n\n Usage:\n\n done, pending = await asyncio.wait(fs)\n\n Note: This does not raise TimeoutError! Futures that aren't done\n when the timeout occurs are returned in the second set.\n \"\"\"\n if futures.isfuture(fs) or coroutines.iscoroutine(fs):\n raise TypeError(f\"expect a list of futures, not {type(fs).__name__}\")\n if not fs:\n raise ValueError('Set of Tasks/Futures is empty.')\n if return_when not in (FIRST_COMPLETED, FIRST_EXCEPTION, ALL_COMPLETED):\n raise ValueError(f'Invalid return_when value: {return_when}')\n\n fs = set(fs)\n\n if any(coroutines.iscoroutine(f) for f in fs):\n raise TypeError(\"Passing coroutines is forbidden, use tasks explicitly.\")\n\n loop = events.get_running_loop()\n return await _wait(fs, timeout, return_when, loop)\n\n\ndef _release_waiter(waiter, *args):\n if not waiter.done():\n waiter.set_result(None)\n\n\nasync def wait_for(fut, timeout):\n \"\"\"Wait for the single Future or coroutine to complete, with timeout.\n\n Coroutine will be wrapped in Task.\n\n Returns result of the Future or coroutine. When a timeout occurs,\n it cancels the task and raises TimeoutError. To avoid the task\n cancellation, wrap it in shield().\n\n If the wait is cancelled, the task is also cancelled.\n\n If the task suppresses the cancellation and returns a value instead,\n that value is returned.\n\n This function is a coroutine.\n \"\"\"\n # The special case for timeout <= 0 is for the following case:\n #\n # async def test_waitfor():\n # func_started = False\n #\n # async def func():\n # nonlocal func_started\n # func_started = True\n #\n # try:\n # await asyncio.wait_for(func(), 0)\n # except asyncio.TimeoutError:\n # assert not func_started\n # else:\n # assert False\n #\n # asyncio.run(test_waitfor())\n\n\n if timeout is not None and timeout <= 0:\n fut = ensure_future(fut)\n\n if fut.done():\n return fut.result()\n\n await _cancel_and_wait(fut)\n try:\n return fut.result()\n except exceptions.CancelledError as exc:\n raise TimeoutError from exc\n\n async with timeouts.timeout(timeout):\n return await fut\n\nasync def _wait(fs, timeout, return_when, loop):\n \"\"\"Internal helper for wait().\n\n The fs argument must be a collection of Futures.\n \"\"\"\n assert fs, 'Set of Futures is empty.'\n waiter = loop.create_future()\n timeout_handle = None\n if timeout is not None:\n timeout_handle = loop.call_later(timeout, _release_waiter, waiter)\n counter = len(fs)\n\n def _on_completion(f):\n nonlocal counter\n counter -= 1\n if (counter <= 0 or\n return_when == FIRST_COMPLETED or\n return_when == FIRST_EXCEPTION and (not f.cancelled() and\n f.exception() is not None)):\n if timeout_handle is not None:\n timeout_handle.cancel()\n if not waiter.done():\n waiter.set_result(None)\n\n for f in fs:\n f.add_done_callback(_on_completion)\n\n try:\n await waiter\n finally:\n if timeout_handle is not None:\n timeout_handle.cancel()\n for f in fs:\n f.remove_done_callback(_on_completion)\n\n done, pending = set(), set()\n for f in fs:\n if f.done():\n done.add(f)\n else:\n pending.add(f)\n return done, pending\n\n\nasync def _cancel_and_wait(fut):\n \"\"\"Cancel the *fut* future or task and wait until it completes.\"\"\"\n\n loop = events.get_running_loop()\n waiter = loop.create_future()\n cb = functools.partial(_release_waiter, waiter)\n fut.add_done_callback(cb)\n\n try:\n fut.cancel()\n # We cannot wait on *fut* directly to make\n # sure _cancel_and_wait itself is reliably cancellable.\n await waiter\n finally:\n fut.remove_done_callback(cb)\n\n\n# This is *not* a @coroutine! It is just an iterator (yielding Futures).\ndef as_completed(fs, *, timeout=None):\n \"\"\"Return an iterator whose values are coroutines.\n\n When waiting for the yielded coroutines you'll get the results (or\n exceptions!) of the original Futures (or coroutines), in the order\n in which and as soon as they complete.\n\n This differs from PEP 3148; the proper way to use this is:\n\n for f in as_completed(fs):\n result = await f # The 'await' may raise.\n # Use result.\n\n If a timeout is specified, the 'await' will raise\n TimeoutError when the timeout occurs before all Futures are done.\n\n Note: The futures 'f' are not necessarily members of fs.\n \"\"\"\n if futures.isfuture(fs) or coroutines.iscoroutine(fs):\n raise TypeError(f\"expect an iterable of futures, not {type(fs).__name__}\")\n\n from .queues import Queue # Import here to avoid circular import problem.\n done = Queue()\n\n loop = events.get_event_loop()\n todo = {ensure_future(f, loop=loop) for f in set(fs)}\n timeout_handle = None\n\n def _on_timeout():\n for f in todo:\n f.remove_done_callback(_on_completion)\n done.put_nowait(None) # Queue a dummy value for _wait_for_one().\n todo.clear() # Can't do todo.remove(f) in the loop.\n\n def _on_completion(f):\n if not todo:\n return # _on_timeout() was here first.\n todo.remove(f)\n done.put_nowait(f)\n if not todo and timeout_handle is not None:\n timeout_handle.cancel()\n\n async def _wait_for_one():\n f = await done.get()\n if f is None:\n # Dummy value from _on_timeout().\n raise exceptions.TimeoutError\n return f.result() # May raise f.exception().\n\n for f in todo:\n f.add_done_callback(_on_completion)\n if todo and timeout is not None:\n timeout_handle = loop.call_later(timeout, _on_timeout)\n for _ in range(len(todo)):\n yield _wait_for_one()\n\n\n@types.coroutine\ndef __sleep0():\n \"\"\"Skip one event loop run cycle.\n\n This is a private helper for 'asyncio.sleep()', used\n when the 'delay' is set to 0. It uses a bare 'yield'\n expression (which Task.__step knows how to handle)\n instead of creating a Future object.\n \"\"\"\n yield\n\n\nasync def sleep(delay, result=None):\n \"\"\"Coroutine that completes after a given time (in seconds).\"\"\"\n if delay <= 0:\n await __sleep0()\n return result\n\n loop = events.get_running_loop()\n future = loop.create_future()\n h = loop.call_later(delay,\n futures._set_result_unless_cancelled,\n future, result)\n try:\n return await future\n finally:\n h.cancel()\n\n\ndef ensure_future(coro_or_future, *, loop=None):\n \"\"\"Wrap a coroutine or an awaitable in a future.\n\n If the argument is a Future, it is returned directly.\n \"\"\"\n if futures.isfuture(coro_or_future):\n if loop is not None and loop is not futures._get_loop(coro_or_future):\n raise ValueError('The future belongs to a different loop than '\n 'the one specified as the loop argument')\n return coro_or_future\n should_close = True\n if not coroutines.iscoroutine(coro_or_future):\n if inspect.isawaitable(coro_or_future):\n async def _wrap_awaitable(awaitable):\n return await awaitable\n\n coro_or_future = _wrap_awaitable(coro_or_future)\n should_close = False\n else:\n raise TypeError('An asyncio.Future, a coroutine or an awaitable '\n 'is required')\n\n if loop is None:\n loop = events.get_event_loop()\n try:\n return loop.create_task(coro_or_future)\n except RuntimeError:\n if should_close:\n coro_or_future.close()\n raise\n\n\nclass _GatheringFuture(futures.Future):\n \"\"\"Helper for gather().\n\n This overrides cancel() to cancel all the children and act more\n like Task.cancel(), which doesn't immediately mark itself as\n cancelled.\n \"\"\"\n\n def __init__(self, children, *, loop):\n assert loop is not None\n super().__init__(loop=loop)\n self._children = children\n self._cancel_requested = False\n\n def cancel(self, msg=None):\n if self.done():\n return False\n ret = False\n for child in self._children:\n if child.cancel(msg=msg):\n ret = True\n if ret:\n # If any child tasks were actually cancelled, we should\n # propagate the cancellation request regardless of\n # *return_exceptions* argument. See issue 32684.\n self._cancel_requested = True\n return ret\n\n\ndef gather(*coros_or_futures, return_exceptions=False):\n \"\"\"Return a future aggregating results from the given coroutines/futures.\n\n Coroutines will be wrapped in a future and scheduled in the event\n loop. They will not necessarily be scheduled in the same order as\n passed in.\n\n All futures must share the same event loop. If all the tasks are\n done successfully, the returned future's result is the list of\n results (in the order of the original sequence, not necessarily\n the order of results arrival). If *return_exceptions* is True,\n exceptions in the tasks are treated the same as successful\n results, and gathered in the result list; otherwise, the first\n raised exception will be immediately propagated to the returned\n future.\n\n Cancellation: if the outer Future is cancelled, all children (that\n have not completed yet) are also cancelled. If any child is\n cancelled, this is treated as if it raised CancelledError --\n the outer Future is *not* cancelled in this case. (This is to\n prevent the cancellation of one child to cause other children to\n be cancelled.)\n\n If *return_exceptions* is False, cancelling gather() after it\n has been marked done won't cancel any submitted awaitables.\n For instance, gather can be marked done after propagating an\n exception to the caller, therefore, calling ``gather.cancel()``\n after catching an exception (raised by one of the awaitables) from\n gather won't cancel any other awaitables.\n \"\"\"\n if not coros_or_futures:\n loop = events.get_event_loop()\n outer = loop.create_future()\n outer.set_result([])\n return outer\n\n def _done_callback(fut):\n nonlocal nfinished\n nfinished += 1\n\n if outer is None or outer.done():\n if not fut.cancelled():\n # Mark exception retrieved.\n fut.exception()\n return\n\n if not return_exceptions:\n if fut.cancelled():\n # Check if 'fut' is cancelled first, as\n # 'fut.exception()' will *raise* a CancelledError\n # instead of returning it.\n exc = fut._make_cancelled_error()\n outer.set_exception(exc)\n return\n else:\n exc = fut.exception()\n if exc is not None:\n outer.set_exception(exc)\n return\n\n if nfinished == nfuts:\n # All futures are done; create a list of results\n # and set it to the 'outer' future.\n results = []\n\n for fut in children:\n if fut.cancelled():\n # Check if 'fut' is cancelled first, as 'fut.exception()'\n # will *raise* a CancelledError instead of returning it.\n # Also, since we're adding the exception return value\n # to 'results' instead of raising it, don't bother\n # setting __context__. This also lets us preserve\n # calling '_make_cancelled_error()' at most once.\n res = exceptions.CancelledError(\n '' if fut._cancel_message is None else\n fut._cancel_message)\n else:\n res = fut.exception()\n if res is None:\n res = fut.result()\n results.append(res)\n\n if outer._cancel_requested:\n # If gather is being cancelled we must propagate the\n # cancellation regardless of *return_exceptions* argument.\n # See issue 32684.\n exc = fut._make_cancelled_error()\n outer.set_exception(exc)\n else:\n outer.set_result(results)\n\n arg_to_fut = {}\n children = []\n nfuts = 0\n nfinished = 0\n done_futs = []\n loop = None\n outer = None # bpo-46672\n for arg in coros_or_futures:\n if arg not in arg_to_fut:\n fut = ensure_future(arg, loop=loop)\n if loop is None:\n loop = futures._get_loop(fut)\n if fut is not arg:\n # 'arg' was not a Future, therefore, 'fut' is a new\n # Future created specifically for 'arg'. Since the caller\n # can't control it, disable the \"destroy pending task\"\n # warning.\n fut._log_destroy_pending = False\n\n nfuts += 1\n arg_to_fut[arg] = fut\n if fut.done():\n done_futs.append(fut)\n else:\n fut.add_done_callback(_done_callback)\n\n else:\n # There's a duplicate Future object in coros_or_futures.\n fut = arg_to_fut[arg]\n\n children.append(fut)\n\n outer = _GatheringFuture(children, loop=loop)\n # Run done callbacks after GatheringFuture created so any post-processing\n # can be performed at this point\n # optimization: in the special case that *all* futures finished eagerly,\n # this will effectively complete the gather eagerly, with the last\n # callback setting the result (or exception) on outer before returning it\n for fut in done_futs:\n _done_callback(fut)\n return outer\n\n\ndef shield(arg):\n \"\"\"Wait for a future, shielding it from cancellation.\n\n The statement\n\n task = asyncio.create_task(something())\n res = await shield(task)\n\n is exactly equivalent to the statement\n\n res = await something()\n\n *except* that if the coroutine containing it is cancelled, the\n task running in something() is not cancelled. From the POV of\n something(), the cancellation did not happen. But its caller is\n still cancelled, so the yield-from expression still raises\n CancelledError. Note: If something() is cancelled by other means\n this will still cancel shield().\n\n If you want to completely ignore cancellation (not recommended)\n you can combine shield() with a try/except clause, as follows:\n\n task = asyncio.create_task(something())\n try:\n res = await shield(task)\n except CancelledError:\n res = None\n\n Save a reference to tasks passed to this function, to avoid\n a task disappearing mid-execution. The event loop only keeps\n weak references to tasks. A task that isn't referenced elsewhere\n may get garbage collected at any time, even before it's done.\n \"\"\"\n inner = ensure_future(arg)\n if inner.done():\n # Shortcut.\n return inner\n loop = futures._get_loop(inner)\n outer = loop.create_future()\n\n def _inner_done_callback(inner):\n if outer.cancelled():\n if not inner.cancelled():\n # Mark inner's result as retrieved.\n inner.exception()\n return\n\n if inner.cancelled():\n outer.cancel()\n else:\n exc = inner.exception()\n if exc is not None:\n outer.set_exception(exc)\n else:\n outer.set_result(inner.result())\n\n\n def _outer_done_callback(outer):\n if not inner.done():\n inner.remove_done_callback(_inner_done_callback)\n\n inner.add_done_callback(_inner_done_callback)\n outer.add_done_callback(_outer_done_callback)\n return outer\n\n\ndef run_coroutine_threadsafe(coro, loop):\n \"\"\"Submit a coroutine object to a given event loop.\n\n Return a concurrent.futures.Future to access the result.\n \"\"\"\n if not coroutines.iscoroutine(coro):\n raise TypeError('A coroutine object is required')\n future = concurrent.futures.Future()\n\n def callback():\n try:\n futures._chain_future(ensure_future(coro, loop=loop), future)\n except (SystemExit, KeyboardInterrupt):\n raise\n except BaseException as exc:\n if future.set_running_or_notify_cancel():\n future.set_exception(exc)\n raise\n\n loop.call_soon_threadsafe(callback)\n return future\n\n\ndef create_eager_task_factory(custom_task_constructor):\n \"\"\"Create a function suitable for use as a task factory on an event-loop.\n\n Example usage:\n\n loop.set_task_factory(\n asyncio.create_eager_task_factory(my_task_constructor))\n\n Now, tasks created will be started immediately (rather than being first\n scheduled to an event loop). The constructor argument can be any callable\n that returns a Task-compatible object and has a signature compatible\n with `Task.__init__`; it must have the `eager_start` keyword argument.\n\n Most applications will use `Task` for `custom_task_constructor` and in\n this case there's no need to call `create_eager_task_factory()`\n directly. Instead the global `eager_task_factory` instance can be\n used. E.g. `loop.set_task_factory(asyncio.eager_task_factory)`.\n \"\"\"\n\n def factory(loop, coro, *, name=None, context=None):\n return custom_task_constructor(\n coro, loop=loop, name=name, context=context, eager_start=True)\n\n return factory\n\n\neager_task_factory = create_eager_task_factory(Task)\n\n\n# Collectively these two sets hold references to the complete set of active\n# tasks. Eagerly executed tasks use a faster regular set as an optimization\n# but may graduate to a WeakSet if the task blocks on IO.\n_scheduled_tasks = weakref.WeakSet()\n_eager_tasks = set()\n\n# Dictionary containing tasks that are currently active in\n# all running event loops. {EventLoop: Task}\n_current_tasks = {}\n\n\ndef _register_task(task):\n \"\"\"Register an asyncio Task scheduled to run on an event loop.\"\"\"\n _scheduled_tasks.add(task)\n\n\ndef _register_eager_task(task):\n \"\"\"Register an asyncio Task about to be eagerly executed.\"\"\"\n _eager_tasks.add(task)\n\n\ndef _enter_task(loop, task):\n current_task = _current_tasks.get(loop)\n if current_task is not None:\n raise RuntimeError(f\"Cannot enter into task {task!r} while another \"\n f\"task {current_task!r} is being executed.\")\n _current_tasks[loop] = task\n\n\ndef _leave_task(loop, task):\n current_task = _current_tasks.get(loop)\n if current_task is not task:\n raise RuntimeError(f\"Leaving task {task!r} does not match \"\n f\"the current task {current_task!r}.\")\n del _current_tasks[loop]\n\n\ndef _swap_current_task(loop, task):\n prev_task = _current_tasks.get(loop)\n if task is None:\n del _current_tasks[loop]\n else:\n _current_tasks[loop] = task\n return prev_task\n\n\ndef _unregister_task(task):\n \"\"\"Unregister a completed, scheduled Task.\"\"\"\n _scheduled_tasks.discard(task)\n\n\ndef _unregister_eager_task(task):\n \"\"\"Unregister a task which finished its first eager step.\"\"\"\n _eager_tasks.discard(task)\n\n\n_py_current_task = current_task\n_py_register_task = _register_task\n_py_register_eager_task = _register_eager_task\n_py_unregister_task = _unregister_task\n_py_unregister_eager_task = _unregister_eager_task\n_py_enter_task = _enter_task\n_py_leave_task = _leave_task\n_py_swap_current_task = _swap_current_task\n\n\ntry:\n from _asyncio import (_register_task, _register_eager_task,\n _unregister_task, _unregister_eager_task,\n _enter_task, _leave_task, _swap_current_task,\n _scheduled_tasks, _eager_tasks, _current_tasks,\n current_task)\nexcept ImportError:\n pass\nelse:\n _c_current_task = current_task\n _c_register_task = _register_task\n _c_register_eager_task = _register_eager_task\n _c_unregister_task = _unregister_task\n _c_unregister_eager_task = _unregister_eager_task\n _c_enter_task = _enter_task\n _c_leave_task = _leave_task\n _c_swap_current_task = _swap_current_task\n", 1065], "/home/gaogaotiantian/programs/viztracer/example/src/async_simple.py": ["import asyncio\n\n\nasync def io_task():\n await asyncio.sleep(0.01)\n\n\nasync def main():\n t1 = asyncio.create_task(io_task())\n t2 = asyncio.create_task(io_task())\n t3 = asyncio.create_task(io_task())\n\n await t1\n await t2\n await t3\n\n\nif __name__ == \"__main__\":\n asyncio.run(main())\n", 19]}, "functions": {"Runner.__init__ (/usr/lib/python3.12/asyncio/runners.py:48)": ["/usr/lib/python3.12/asyncio/runners.py", 48], "ModuleSpec.parent (:645)": ["", 645], "_handle_fromlist (:1390)": ["", 1390], "BaseDefaultEventLoopPolicy.__init__ (/usr/lib/python3.12/asyncio/events.py:671)": ["/usr/lib/python3.12/asyncio/events.py", 671], "_UnixDefaultEventLoopPolicy.__init__ (/usr/lib/python3.12/asyncio/unix_events.py:1446)": ["/usr/lib/python3.12/asyncio/unix_events.py", 1446], "_init_event_loop_policy (/usr/lib/python3.12/asyncio/events.py:775)": ["/usr/lib/python3.12/asyncio/events.py", 775], "get_event_loop_policy (/usr/lib/python3.12/asyncio/events.py:783)": ["/usr/lib/python3.12/asyncio/events.py", 783], "_createenviron..encode (:762)": ["", 762], "_Environ.__getitem__ (:680)": ["", 680], "Mapping.get (:804)": ["", 804], "_is_debug_mode (/usr/lib/python3.12/asyncio/coroutines.py:10)": ["/usr/lib/python3.12/asyncio/coroutines.py", 10], "BaseEventLoop.is_running (/usr/lib/python3.12/asyncio/base_events.py:730)": ["/usr/lib/python3.12/asyncio/base_events.py", 730], "BaseEventLoop.set_debug (/usr/lib/python3.12/asyncio/base_events.py:2008)": ["/usr/lib/python3.12/asyncio/base_events.py", 2008], "WeakSet.__init__ (/usr/lib/python3.12/_weakrefset.py:37)": ["/usr/lib/python3.12/_weakrefset.py", 37], "BaseEventLoop.__init__ (/usr/lib/python3.12/asyncio/base_events.py:411)": ["/usr/lib/python3.12/asyncio/base_events.py", 411], "_SelectorMapping.__init__ (/usr/lib/python3.12/selectors.py:63)": ["/usr/lib/python3.12/selectors.py", 63], "_BaseSelectorImpl.__init__ (/usr/lib/python3.12/selectors.py:209)": ["/usr/lib/python3.12/selectors.py", 209], "_PollLikeSelector.__init__ (/usr/lib/python3.12/selectors.py:347)": ["/usr/lib/python3.12/selectors.py", 347], "_acquireLock (/usr/lib/python3.12/logging/__init__.py:234)": ["/usr/lib/python3.12/logging/__init__.py", 234], "Manager.disable (/usr/lib/python3.12/logging/__init__.py:1369)": ["/usr/lib/python3.12/logging/__init__.py", 1369], "Logger.getEffectiveLevel (/usr/lib/python3.12/logging/__init__.py:1776)": ["/usr/lib/python3.12/logging/__init__.py", 1776], "_releaseLock (/usr/lib/python3.12/logging/__init__.py:243)": ["/usr/lib/python3.12/logging/__init__.py", 243], "Logger.isEnabledFor (/usr/lib/python3.12/logging/__init__.py:1790)": ["/usr/lib/python3.12/logging/__init__.py", 1790], "Logger.debug (/usr/lib/python3.12/logging/__init__.py:1517)": ["/usr/lib/python3.12/logging/__init__.py", 1517], "socket.__init__ (/usr/lib/python3.12/socket.py:221)": ["/usr/lib/python3.12/socket.py", 221], "socketpair (/usr/lib/python3.12/socket.py:596)": ["/usr/lib/python3.12/socket.py", 596], "BaseEventLoop._check_closed (/usr/lib/python3.12/asyncio/base_events.py:539)": ["/usr/lib/python3.12/asyncio/base_events.py", 539], "BaseEventLoop.get_debug (/usr/lib/python3.12/asyncio/base_events.py:2005)": ["/usr/lib/python3.12/asyncio/base_events.py", 2005], "Handle.__init__ (/usr/lib/python3.12/asyncio/events.py:36)": ["/usr/lib/python3.12/asyncio/events.py", 36], "_BaseSelectorImpl.get_map (/usr/lib/python3.12/selectors.py:272)": ["/usr/lib/python3.12/selectors.py", 272], "_fileobj_to_fd (/usr/lib/python3.12/selectors.py:21)": ["/usr/lib/python3.12/selectors.py", 21], "_BaseSelectorImpl._fileobj_lookup (/usr/lib/python3.12/selectors.py:215)": ["/usr/lib/python3.12/selectors.py", 215], "_SelectorMapping.__getitem__ (/usr/lib/python3.12/selectors.py:69)": ["/usr/lib/python3.12/selectors.py", 69], "BaseSelector.get_key (/usr/lib/python3.12/selectors.py:180)": ["/usr/lib/python3.12/selectors.py", 180], "_BaseSelectorImpl.register (/usr/lib/python3.12/selectors.py:234)": ["/usr/lib/python3.12/selectors.py", 234], "_PollLikeSelector.register (/usr/lib/python3.12/selectors.py:351)": ["/usr/lib/python3.12/selectors.py", 351], "BaseSelectorEventLoop._add_reader (/usr/lib/python3.12/asyncio/selector_events.py:278)": ["/usr/lib/python3.12/asyncio/selector_events.py", 278], "BaseSelectorEventLoop._make_self_pipe (/usr/lib/python3.12/asyncio/selector_events.py:118)": ["/usr/lib/python3.12/asyncio/selector_events.py", 118], "WeakValueDictionary.update 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Python\n\n :param collection: some mutable ordered collection with heterogeneous\n comparable items inside\n :return: the same collection ordered by ascending\n\n Examples:\n >>> merge_sort([0, 5, 3, 2, 2])\n [0, 2, 2, 3, 5]\n\n >>> merge_sort([])\n []\n\n >>> merge_sort([-2, -5, -45])\n [-45, -5, -2]\n \"\"\"\n\n def merge(left, right):\n \"\"\"merge left and right\n :param left: left collection\n :param right: right collection\n :return: merge result\n \"\"\"\n result = []\n while left and right:\n result.append((left if left[0] <= right[0] else right).pop(0))\n return result + left + right\n\n if len(collection) <= 1:\n return collection\n mid = len(collection) // 2\n return merge(merge_sort(collection[:mid]), merge_sort(collection[mid:]))\n\n\ndef quick_sort(collection):\n \"\"\"Pure implementation of quick sort algorithm in Python\n\n :param collection: some mutable ordered collection with heterogeneous\n comparable items inside\n :return: the same collection ordered by ascending\n\n Examples:\n >>> quick_sort([0, 5, 3, 2, 2])\n [0, 2, 2, 3, 5]\n\n >>> quick_sort([])\n []\n\n >>> quick_sort([-2, -5, -45])\n [-45, -5, -2]\n \"\"\"\n length = len(collection)\n if length <= 1:\n return collection\n else:\n # Use the last element as the first pivot\n pivot = collection.pop()\n # Put elements greater than pivot in greater list\n # Put elements lesser than pivot in lesser list\n greater, lesser = [], []\n for element in collection:\n if element > pivot:\n greater.append(element)\n else:\n lesser.append(element)\n return quick_sort(lesser) + [pivot] + quick_sort(greater)\n\n\ndef heapify(unsorted, index, heap_size):\n largest = index\n left_index = 2 * index + 1\n right_index = 2 * index + 2\n if left_index < heap_size and unsorted[left_index] > unsorted[largest]:\n largest = left_index\n\n if right_index < heap_size and unsorted[right_index] > unsorted[largest]:\n largest = right_index\n\n if largest != index:\n unsorted[largest], unsorted[index] = unsorted[index], unsorted[largest]\n heapify(unsorted, largest, heap_size)\n\n\ndef heap_sort(unsorted):\n \"\"\"\n Pure implementation of the heap sort algorithm in Python\n :param collection: some mutable ordered collection with heterogeneous\n comparable items inside\n :return: the same collection ordered by ascending\n\n Examples:\n >>> heap_sort([0, 5, 3, 2, 2])\n [0, 2, 2, 3, 5]\n\n >>> heap_sort([])\n []\n\n >>> heap_sort([-2, -5, -45])\n [-45, -5, -2]\n \"\"\"\n n = len(unsorted)\n for i in range(n // 2 - 1, -1, -1):\n heapify(unsorted, i, n)\n for i in range(n - 1, 0, -1):\n unsorted[0], unsorted[i] = unsorted[i], unsorted[0]\n heapify(unsorted, 0, i)\n return unsorted\n\n\narr1 = [random.randrange(100000) for _ in range(500)]\narr2 = [random.randrange(100000) for _ in range(500)]\narr3 = [random.randrange(100000) for _ in range(500)]\n\n\nwith VizTracer(\n output_file=os.path.join(\n os.path.dirname(__file__), \"../\", \"json/different_sorts.json\"\n ),\n file_info=True,\n) as _:\n merge_sort(arr1)\n quick_sort(arr2)\n heap_sort(arr3)\n", 133]}, "functions": {"merge_sort (/home/gaogaotiantian/programs/viztracer/example/src/different_sorts.py:10)": ["/home/gaogaotiantian/programs/viztracer/example/src/different_sorts.py", 10], "merge_sort..merge (/home/gaogaotiantian/programs/viztracer/example/src/different_sorts.py:28)": ["/home/gaogaotiantian/programs/viztracer/example/src/different_sorts.py", 28], "quick_sort (/home/gaogaotiantian/programs/viztracer/example/src/different_sorts.py:45)": ["/home/gaogaotiantian/programs/viztracer/example/src/different_sorts.py", 45], "heapify (/home/gaogaotiantian/programs/viztracer/example/src/different_sorts.py:79)": ["/home/gaogaotiantian/programs/viztracer/example/src/different_sorts.py", 79], "heap_sort (/home/gaogaotiantian/programs/viztracer/example/src/different_sorts.py:94)": ["/home/gaogaotiantian/programs/viztracer/example/src/different_sorts.py", 94]}}} ================================================ FILE: 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{"/home/gaogaotiantian/programs/viztracer/example/src/function_args_return.py": ["import os\n\nfrom viztracer import VizTracer\n\n\ndef fib(n):\n if n < 2:\n return 1\n return fib(n - 1) + fib(n - 2)\n\n\nwith VizTracer(\n log_func_args=True,\n log_func_retval=True,\n file_info=True,\n output_file=os.path.join(\n os.path.dirname(__file__), \"../\", \"json/function_args_return.json\"\n ),\n):\n fib(6)\n", 20]}, "functions": {"fib (/home/gaogaotiantian/programs/viztracer/example/src/function_args_return.py:6)": ["/home/gaogaotiantian/programs/viztracer/example/src/function_args_return.py", 6]}}} ================================================ FILE: example/json/gradient_descent.json ================================================ {"traceEvents": [{"ph": "M", "pid": 222296, "tid": 222296, "name": "process_name", "args": {"name": "MainProcess"}}, {"ph": "M", "pid": 222296, "tid": 222296, "name": "thread_name", "args": {"name": "MainThread"}}, {"pid": 222296, "tid": 222296, "ts": 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pairs\ntrain_data = (\n ((5, 2, 3), 15),\n ((6, 5, 9), 25),\n ((11, 12, 13), 41),\n ((1, 1, 1), 8),\n ((11, 12, 13), 41),\n)\ntest_data = (((515, 22, 13), 555), ((61, 35, 49), 150))\nparameter_vector = [2, 4, 1, 5]\nm = len(train_data)\nLEARNING_RATE = 0.009\n\n\ndef _error(example_no, data_set=\"train\"):\n \"\"\"\n :param data_set: train data or test data\n :param example_no: example number whose error has to be checked\n :return: error in example pointed by example number.\n \"\"\"\n return calculate_hypothesis_value(example_no, data_set) - output(\n example_no, data_set\n )\n\n\ndef _hypothesis_value(data_input_tuple):\n \"\"\"\n Calculates hypothesis function value for a given input\n :param data_input_tuple: Input tuple of a particular example\n :return: Value of hypothesis function at that point.\n Note that there is an 'biased input' whose value is fixed as 1.\n It is not explicitly mentioned in input data.. But, ML hypothesis functions use it.\n So, we have to take care of it separately. Line 36 takes care of it.\n \"\"\"\n hyp_val = 0\n for i in range(len(parameter_vector) - 1):\n hyp_val += data_input_tuple[i] * parameter_vector[i + 1]\n hyp_val += parameter_vector[0]\n return hyp_val\n\n\ndef output(example_no, data_set):\n \"\"\"\n :param data_set: test data or train data\n :param example_no: example whose output is to be fetched\n :return: output for that example\n \"\"\"\n if data_set == \"train\":\n return train_data[example_no][1]\n elif data_set == \"test\":\n return test_data[example_no][1]\n\n\ndef calculate_hypothesis_value(example_no, data_set):\n \"\"\"\n Calculates hypothesis value for a given example\n :param data_set: test data or train_data\n :param example_no: example whose hypothesis value is to be calculated\n :return: hypothesis value for that example\n \"\"\"\n if data_set == \"train\":\n return _hypothesis_value(train_data[example_no][0])\n elif data_set == \"test\":\n return _hypothesis_value(test_data[example_no][0])\n\n\ndef summation_of_cost_derivative(index, end=m):\n \"\"\"\n Calculates the sum of cost function derivative\n :param index: index wrt derivative is being calculated\n :param end: value where summation ends, default is m, number of examples\n :return: Returns the summation of cost derivative\n Note: If index is -1, this means we are calculating summation wrt to biased\n parameter.\n \"\"\"\n summation_value = 0\n for i in range(end):\n if index == -1:\n summation_value += _error(i)\n else:\n summation_value += _error(i) * train_data[i][0][index]\n return summation_value\n\n\ndef get_cost_derivative(index):\n \"\"\"\n :param index: index of the parameter vector wrt to derivative is to be calculated\n :return: derivative wrt to that index\n Note: If index is -1, this means we are calculating summation wrt to biased\n parameter.\n \"\"\"\n cost_derivative_value = summation_of_cost_derivative(index, m) / m\n return cost_derivative_value\n\n\ndef run_gradient_descent():\n global parameter_vector\n # Tune these values to set a tolerance value for predicted output\n absolute_error_limit = 0.004\n relative_error_limit = 0\n j = 0\n while True:\n j += 1\n temp_parameter_vector = [0, 0, 0, 0]\n err = 0\n for i in range(0, len(parameter_vector)):\n cost_derivative = get_cost_derivative(i - 1)\n err += abs(cost_derivative)\n temp_parameter_vector[i] = (\n parameter_vector[i] - LEARNING_RATE * cost_derivative\n )\n counter.cost = math.log(1 + err)\n if numpy.allclose(\n parameter_vector,\n temp_parameter_vector,\n atol=absolute_error_limit,\n rtol=relative_error_limit,\n ):\n break\n parameter_vector = temp_parameter_vector\n print((\"Number of iterations:\", j))\n\n\ndef test_gradient_descent():\n for i in range(len(test_data)):\n print((\"Actual output value:\", output(i, \"test\")))\n print((\"Hypothesis output:\", calculate_hypothesis_value(i, \"test\")))\n\n\nif __name__ == \"__main__\":\n with VizTracer(\n log_print=True,\n output_file=os.path.join(\n os.path.dirname(__file__), \"../\", \"json/gradient_descent.json\"\n ),\n file_info=True,\n ) as tracer:\n counter = VizCounter(tracer, \"log(1 + cost)\")\n run_gradient_descent()\n test_gradient_descent()\n", 150], "/home/gaogaotiantian/programs/viztracer/venv/lib/python3.12/site-packages/numpy/_core/numeric.py": ["import builtins\nimport functools\nimport itertools\nimport math\nimport numbers\nimport operator\nimport sys\nimport warnings\n\nimport numpy as np\nfrom numpy.exceptions import AxisError\n\nfrom . import multiarray, numerictypes, numerictypes as nt, overrides, shape_base, umath\nfrom ._ufunc_config import errstate\nfrom .multiarray import ( # noqa: F401\n ALLOW_THREADS,\n BUFSIZE,\n CLIP,\n MAXDIMS,\n MAY_SHARE_BOUNDS,\n MAY_SHARE_EXACT,\n RAISE,\n WRAP,\n arange,\n array,\n asanyarray,\n asarray,\n ascontiguousarray,\n asfortranarray,\n broadcast,\n can_cast,\n concatenate,\n copyto,\n dot,\n dtype,\n empty,\n empty_like,\n flatiter,\n from_dlpack,\n frombuffer,\n fromfile,\n fromiter,\n fromstring,\n inner,\n lexsort,\n matmul,\n may_share_memory,\n min_scalar_type,\n ndarray,\n nditer,\n nested_iters,\n normalize_axis_index,\n promote_types,\n putmask,\n result_type,\n shares_memory,\n vdot,\n vecdot,\n where,\n zeros,\n)\nfrom .overrides import finalize_array_function_like, set_module\nfrom .umath import NAN, PINF, invert, multiply, sin\n\nbitwise_not = invert\nufunc = type(sin)\nnewaxis = None\n\narray_function_dispatch = functools.partial(\n overrides.array_function_dispatch, module='numpy')\n\n\n__all__ = [\n 'newaxis', 'ndarray', 'flatiter', 'nditer', 'nested_iters', 'ufunc',\n 'arange', 'array', 'asarray', 'asanyarray', 'ascontiguousarray',\n 'asfortranarray', 'zeros', 'count_nonzero', 'empty', 'broadcast', 'dtype',\n 'fromstring', 'fromfile', 'frombuffer', 'from_dlpack', 'where',\n 'argwhere', 'copyto', 'concatenate', 'lexsort', 'astype',\n 'can_cast', 'promote_types', 'min_scalar_type',\n 'result_type', 'isfortran', 'empty_like', 'zeros_like', 'ones_like',\n 'correlate', 'convolve', 'inner', 'dot', 'outer', 'vdot', 'roll',\n 'rollaxis', 'moveaxis', 'cross', 'tensordot', 'little_endian',\n 'fromiter', 'array_equal', 'array_equiv', 'indices', 'fromfunction',\n 'isclose', 'isscalar', 'binary_repr', 'base_repr', 'ones',\n 'identity', 'allclose', 'putmask',\n 'flatnonzero', 'inf', 'nan', 'False_', 'True_', 'bitwise_not',\n 'full', 'full_like', 'matmul', 'vecdot', 'shares_memory',\n 'may_share_memory']\n\n\ndef _zeros_like_dispatcher(\n a, dtype=None, order=None, subok=None, shape=None, *, device=None\n):\n return (a,)\n\n\n@array_function_dispatch(_zeros_like_dispatcher)\ndef zeros_like(\n a, dtype=None, order='K', subok=True, shape=None, *, device=None\n):\n \"\"\"\n Return an array of zeros with the same shape and type as a given array.\n\n Parameters\n ----------\n a : array_like\n The shape and data-type of `a` define these same attributes of\n the returned array.\n dtype : data-type, optional\n Overrides the data type of the result.\n order : {'C', 'F', 'A', or 'K'}, optional\n Overrides the memory layout of the result. 'C' means C-order,\n 'F' means F-order, 'A' means 'F' if `a` is Fortran contiguous,\n 'C' otherwise. 'K' means match the layout of `a` as closely\n as possible.\n subok : bool, optional.\n If True, then the newly created array will use the sub-class\n type of `a`, otherwise it will be a base-class array. Defaults\n to True.\n shape : int or sequence of ints, optional.\n Overrides the shape of the result. If order='K' and the number of\n dimensions is unchanged, will try to keep order, otherwise,\n order='C' is implied.\n device : str, optional\n The device on which to place the created array. Default: None.\n For Array-API interoperability only, so must be ``\"cpu\"`` if passed.\n\n .. versionadded:: 2.0.0\n\n Returns\n -------\n out : ndarray\n Array of zeros with the same shape and type as `a`.\n\n See Also\n --------\n empty_like : Return an empty array with shape and type of input.\n ones_like : Return an array of ones with shape and type of input.\n full_like : Return a new array with shape of input filled with value.\n zeros : Return a new array setting values to zero.\n\n Examples\n --------\n >>> import numpy as np\n >>> x = np.arange(6)\n >>> x = x.reshape((2, 3))\n >>> x\n array([[0, 1, 2],\n [3, 4, 5]])\n >>> np.zeros_like(x)\n array([[0, 0, 0],\n [0, 0, 0]])\n\n >>> y = np.arange(3, dtype=float)\n >>> y\n array([0., 1., 2.])\n >>> np.zeros_like(y)\n array([0., 0., 0.])\n\n \"\"\"\n res = empty_like(\n a, dtype=dtype, order=order, subok=subok, shape=shape, device=device\n )\n # needed instead of a 0 to get same result as zeros for string dtypes\n z = zeros(1, dtype=res.dtype)\n multiarray.copyto(res, z, casting='unsafe')\n return res\n\n\n@finalize_array_function_like\n@set_module('numpy')\ndef ones(shape, dtype=None, order='C', *, device=None, like=None):\n \"\"\"\n Return a new array of given shape and type, filled with ones.\n\n Parameters\n ----------\n shape : int or sequence of ints\n Shape of the new array, e.g., ``(2, 3)`` or ``2``.\n dtype : data-type, optional\n The desired data-type for the array, e.g., `numpy.int8`. Default is\n `numpy.float64`.\n order : {'C', 'F'}, optional, default: C\n Whether to store multi-dimensional data in row-major\n (C-style) or column-major (Fortran-style) order in\n memory.\n device : str, optional\n The device on which to place the created array. Default: None.\n For Array-API interoperability only, so must be ``\"cpu\"`` if passed.\n\n .. versionadded:: 2.0.0\n ${ARRAY_FUNCTION_LIKE}\n\n .. versionadded:: 1.20.0\n\n Returns\n -------\n out : ndarray\n Array of ones with the given shape, dtype, and order.\n\n See Also\n --------\n ones_like : Return an array of ones with shape and type of input.\n empty : Return a new uninitialized array.\n zeros : Return a new array setting values to zero.\n full : Return a new array of given shape filled with value.\n\n Examples\n --------\n >>> import numpy as np\n >>> np.ones(5)\n array([1., 1., 1., 1., 1.])\n\n >>> np.ones((5,), dtype=int)\n array([1, 1, 1, 1, 1])\n\n >>> np.ones((2, 1))\n array([[1.],\n [1.]])\n\n >>> s = (2,2)\n >>> np.ones(s)\n array([[1., 1.],\n [1., 1.]])\n\n \"\"\"\n if like is not None:\n return _ones_with_like(\n like, shape, dtype=dtype, order=order, device=device\n )\n\n a = empty(shape, dtype, order, device=device)\n multiarray.copyto(a, 1, casting='unsafe')\n return a\n\n\n_ones_with_like = array_function_dispatch()(ones)\n\n\ndef _ones_like_dispatcher(\n a, dtype=None, order=None, subok=None, shape=None, *, device=None\n):\n return (a,)\n\n\n@array_function_dispatch(_ones_like_dispatcher)\ndef ones_like(\n a, dtype=None, order='K', subok=True, shape=None, *, device=None\n):\n \"\"\"\n Return an array of ones with the same shape and type as a given array.\n\n Parameters\n ----------\n a : array_like\n The shape and data-type of `a` define these same attributes of\n the returned array.\n dtype : data-type, optional\n Overrides the data type of the result.\n order : {'C', 'F', 'A', or 'K'}, optional\n Overrides the memory layout of the result. 'C' means C-order,\n 'F' means F-order, 'A' means 'F' if `a` is Fortran contiguous,\n 'C' otherwise. 'K' means match the layout of `a` as closely\n as possible.\n subok : bool, optional.\n If True, then the newly created array will use the sub-class\n type of `a`, otherwise it will be a base-class array. Defaults\n to True.\n shape : int or sequence of ints, optional.\n Overrides the shape of the result. If order='K' and the number of\n dimensions is unchanged, will try to keep order, otherwise,\n order='C' is implied.\n device : str, optional\n The device on which to place the created array. Default: None.\n For Array-API interoperability only, so must be ``\"cpu\"`` if passed.\n\n .. versionadded:: 2.0.0\n\n Returns\n -------\n out : ndarray\n Array of ones with the same shape and type as `a`.\n\n See Also\n --------\n empty_like : Return an empty array with shape and type of input.\n zeros_like : Return an array of zeros with shape and type of input.\n full_like : Return a new array with shape of input filled with value.\n ones : Return a new array setting values to one.\n\n Examples\n --------\n >>> import numpy as np\n >>> x = np.arange(6)\n >>> x = x.reshape((2, 3))\n >>> x\n array([[0, 1, 2],\n [3, 4, 5]])\n >>> np.ones_like(x)\n array([[1, 1, 1],\n [1, 1, 1]])\n\n >>> y = np.arange(3, dtype=float)\n >>> y\n array([0., 1., 2.])\n >>> np.ones_like(y)\n array([1., 1., 1.])\n\n \"\"\"\n res = empty_like(\n a, dtype=dtype, order=order, subok=subok, shape=shape, device=device\n )\n multiarray.copyto(res, 1, casting='unsafe')\n return res\n\n\ndef _full_dispatcher(\n shape, fill_value, dtype=None, order=None, *, device=None, like=None\n):\n return (like,)\n\n\n@finalize_array_function_like\n@set_module('numpy')\ndef full(shape, fill_value, dtype=None, order='C', *, device=None, like=None):\n \"\"\"\n Return a new array of given shape and type, filled with `fill_value`.\n\n Parameters\n ----------\n shape : int or sequence of ints\n Shape of the new array, e.g., ``(2, 3)`` or ``2``.\n fill_value : scalar or array_like\n Fill value.\n dtype : data-type, optional\n The desired data-type for the array The default, None, means\n ``np.array(fill_value).dtype``.\n order : {'C', 'F'}, optional\n Whether to store multidimensional data in C- or Fortran-contiguous\n (row- or column-wise) order in memory.\n device : str, optional\n The device on which to place the created array. Default: None.\n For Array-API interoperability only, so must be ``\"cpu\"`` if passed.\n\n .. versionadded:: 2.0.0\n ${ARRAY_FUNCTION_LIKE}\n\n .. versionadded:: 1.20.0\n\n Returns\n -------\n out : ndarray\n Array of `fill_value` with the given shape, dtype, and order.\n\n See Also\n --------\n full_like : Return a new array with shape of input filled with value.\n empty : Return a new uninitialized array.\n ones : Return a new array setting values to one.\n zeros : Return a new array setting values to zero.\n\n Examples\n --------\n >>> import numpy as np\n >>> np.full((2, 2), np.inf)\n array([[inf, inf],\n [inf, inf]])\n >>> np.full((2, 2), 10)\n array([[10, 10],\n [10, 10]])\n\n >>> np.full((2, 2), [1, 2])\n array([[1, 2],\n [1, 2]])\n\n \"\"\"\n if like is not None:\n return _full_with_like(\n like, shape, fill_value, dtype=dtype, order=order, device=device\n )\n\n if dtype is None:\n fill_value = asarray(fill_value)\n dtype = fill_value.dtype\n a = empty(shape, dtype, order, device=device)\n multiarray.copyto(a, fill_value, casting='unsafe')\n return a\n\n\n_full_with_like = array_function_dispatch()(full)\n\n\ndef _full_like_dispatcher(\n a, fill_value, dtype=None, order=None, subok=None, shape=None,\n *, device=None\n):\n return (a,)\n\n\n@array_function_dispatch(_full_like_dispatcher)\ndef full_like(\n a, fill_value, dtype=None, order='K', subok=True, shape=None,\n *, device=None\n):\n \"\"\"\n Return a full array with the same shape and type as a given array.\n\n Parameters\n ----------\n a : array_like\n The shape and data-type of `a` define these same attributes of\n the returned array.\n fill_value : array_like\n Fill value.\n dtype : data-type, optional\n Overrides the data type of the result.\n order : {'C', 'F', 'A', or 'K'}, optional\n Overrides the memory layout of the result. 'C' means C-order,\n 'F' means F-order, 'A' means 'F' if `a` is Fortran contiguous,\n 'C' otherwise. 'K' means match the layout of `a` as closely\n as possible.\n subok : bool, optional.\n If True, then the newly created array will use the sub-class\n type of `a`, otherwise it will be a base-class array. Defaults\n to True.\n shape : int or sequence of ints, optional.\n Overrides the shape of the result. If order='K' and the number of\n dimensions is unchanged, will try to keep order, otherwise,\n order='C' is implied.\n device : str, optional\n The device on which to place the created array. Default: None.\n For Array-API interoperability only, so must be ``\"cpu\"`` if passed.\n\n .. versionadded:: 2.0.0\n\n Returns\n -------\n out : ndarray\n Array of `fill_value` with the same shape and type as `a`.\n\n See Also\n --------\n empty_like : Return an empty array with shape and type of input.\n ones_like : Return an array of ones with shape and type of input.\n zeros_like : Return an array of zeros with shape and type of input.\n full : Return a new array of given shape filled with value.\n\n Examples\n --------\n >>> import numpy as np\n >>> x = np.arange(6, dtype=int)\n >>> np.full_like(x, 1)\n array([1, 1, 1, 1, 1, 1])\n >>> np.full_like(x, 0.1)\n array([0, 0, 0, 0, 0, 0])\n >>> np.full_like(x, 0.1, dtype=np.double)\n array([0.1, 0.1, 0.1, 0.1, 0.1, 0.1])\n >>> np.full_like(x, np.nan, dtype=np.double)\n array([nan, nan, nan, nan, nan, nan])\n\n >>> y = np.arange(6, dtype=np.double)\n >>> np.full_like(y, 0.1)\n array([0.1, 0.1, 0.1, 0.1, 0.1, 0.1])\n\n >>> y = np.zeros([2, 2, 3], dtype=int)\n >>> np.full_like(y, [0, 0, 255])\n array([[[ 0, 0, 255],\n [ 0, 0, 255]],\n [[ 0, 0, 255],\n [ 0, 0, 255]]])\n \"\"\"\n res = empty_like(\n a, dtype=dtype, order=order, subok=subok, shape=shape, device=device\n )\n multiarray.copyto(res, fill_value, casting='unsafe')\n return res\n\n\ndef _count_nonzero_dispatcher(a, axis=None, *, keepdims=None):\n return (a,)\n\n\n@array_function_dispatch(_count_nonzero_dispatcher)\ndef count_nonzero(a, axis=None, *, keepdims=False):\n \"\"\"\n Counts the number of non-zero values in the array ``a``.\n\n The word \"non-zero\" is in reference to the Python 2.x\n built-in method ``__nonzero__()`` (renamed ``__bool__()``\n in Python 3.x) of Python objects that tests an object's\n \"truthfulness\". For example, any number is considered\n truthful if it is nonzero, whereas any string is considered\n truthful if it is not the empty string. Thus, this function\n (recursively) counts how many elements in ``a`` (and in\n sub-arrays thereof) have their ``__nonzero__()`` or ``__bool__()``\n method evaluated to ``True``.\n\n Parameters\n ----------\n a : array_like\n The array for which to count non-zeros.\n axis : int or tuple, optional\n Axis or tuple of axes along which to count non-zeros.\n Default is None, meaning that non-zeros will be counted\n along a flattened version of ``a``.\n keepdims : bool, optional\n If this is set to True, the axes that are counted are left\n in the result as dimensions with size one. With this option,\n the result will broadcast correctly against the input array.\n\n Returns\n -------\n count : int or array of int\n Number of non-zero values in the array along a given axis.\n Otherwise, the total number of non-zero values in the array\n is returned.\n\n See Also\n --------\n nonzero : Return the coordinates of all the non-zero values.\n\n Examples\n --------\n >>> import numpy as np\n >>> np.count_nonzero(np.eye(4))\n np.int64(4)\n >>> a = np.array([[0, 1, 7, 0],\n ... [3, 0, 2, 19]])\n >>> np.count_nonzero(a)\n np.int64(5)\n >>> np.count_nonzero(a, axis=0)\n array([1, 1, 2, 1])\n >>> np.count_nonzero(a, axis=1)\n array([2, 3])\n >>> np.count_nonzero(a, axis=1, keepdims=True)\n array([[2],\n [3]])\n \"\"\"\n if axis is None and not keepdims:\n return multiarray.count_nonzero(a)\n\n a = asanyarray(a)\n\n # TODO: this works around .astype(bool) not working properly (gh-9847)\n if np.issubdtype(a.dtype, np.character):\n a_bool = a != a.dtype.type()\n else:\n a_bool = a.astype(np.bool, copy=False)\n\n return a_bool.sum(axis=axis, dtype=np.intp, keepdims=keepdims)\n\n\n@set_module('numpy')\ndef isfortran(a):\n \"\"\"\n Check if the array is Fortran contiguous but *not* C contiguous.\n\n This function is obsolete. If you only want to check if an array is Fortran\n contiguous use ``a.flags.f_contiguous`` instead.\n\n Parameters\n ----------\n a : ndarray\n Input array.\n\n Returns\n -------\n isfortran : bool\n Returns True if the array is Fortran contiguous but *not* C contiguous.\n\n\n Examples\n --------\n\n np.array allows to specify whether the array is written in C-contiguous\n order (last index varies the fastest), or FORTRAN-contiguous order in\n memory (first index varies the fastest).\n\n >>> import numpy as np\n >>> a = np.array([[1, 2, 3], [4, 5, 6]], order='C')\n >>> a\n array([[1, 2, 3],\n [4, 5, 6]])\n >>> np.isfortran(a)\n False\n\n >>> b = np.array([[1, 2, 3], [4, 5, 6]], order='F')\n >>> b\n array([[1, 2, 3],\n [4, 5, 6]])\n >>> np.isfortran(b)\n True\n\n\n The transpose of a C-ordered array is a FORTRAN-ordered array.\n\n >>> a = np.array([[1, 2, 3], [4, 5, 6]], order='C')\n >>> a\n array([[1, 2, 3],\n [4, 5, 6]])\n >>> np.isfortran(a)\n False\n >>> b = a.T\n >>> b\n array([[1, 4],\n [2, 5],\n [3, 6]])\n >>> np.isfortran(b)\n True\n\n C-ordered arrays evaluate as False even if they are also FORTRAN-ordered.\n\n >>> np.isfortran(np.array([1, 2], order='F'))\n False\n\n \"\"\"\n return a.flags.fnc\n\n\ndef _argwhere_dispatcher(a):\n return (a,)\n\n\n@array_function_dispatch(_argwhere_dispatcher)\ndef argwhere(a):\n \"\"\"\n Find the indices of array elements that are non-zero, grouped by element.\n\n Parameters\n ----------\n a : array_like\n Input data.\n\n Returns\n -------\n index_array : (N, a.ndim) ndarray\n Indices of elements that are non-zero. Indices are grouped by element.\n This array will have shape ``(N, a.ndim)`` where ``N`` is the number of\n non-zero items.\n\n See Also\n --------\n where, nonzero\n\n Notes\n -----\n ``np.argwhere(a)`` is almost the same as ``np.transpose(np.nonzero(a))``,\n but produces a result of the correct shape for a 0D array.\n\n The output of ``argwhere`` is not suitable for indexing arrays.\n For this purpose use ``nonzero(a)`` instead.\n\n Examples\n --------\n >>> import numpy as np\n >>> x = np.arange(6).reshape(2,3)\n >>> x\n array([[0, 1, 2],\n [3, 4, 5]])\n >>> np.argwhere(x>1)\n array([[0, 2],\n [1, 0],\n [1, 1],\n [1, 2]])\n\n \"\"\"\n # nonzero does not behave well on 0d, so promote to 1d\n if np.ndim(a) == 0:\n a = shape_base.atleast_1d(a)\n # then remove the added dimension\n return argwhere(a)[:, :0]\n return transpose(nonzero(a))\n\n\ndef _flatnonzero_dispatcher(a):\n return (a,)\n\n\n@array_function_dispatch(_flatnonzero_dispatcher)\ndef flatnonzero(a):\n \"\"\"\n Return indices that are non-zero in the flattened version of a.\n\n This is equivalent to ``np.nonzero(np.ravel(a))[0]``.\n\n Parameters\n ----------\n a : array_like\n Input data.\n\n Returns\n -------\n res : ndarray\n Output array, containing the indices of the elements of ``a.ravel()``\n that are non-zero.\n\n See Also\n --------\n nonzero : Return the indices of the non-zero elements of the input array.\n ravel : Return a 1-D array containing the elements of the input array.\n\n Examples\n --------\n >>> import numpy as np\n >>> x = np.arange(-2, 3)\n >>> x\n array([-2, -1, 0, 1, 2])\n >>> np.flatnonzero(x)\n array([0, 1, 3, 4])\n\n Use the indices of the non-zero elements as an index array to extract\n these elements:\n\n >>> x.ravel()[np.flatnonzero(x)]\n array([-2, -1, 1, 2])\n\n \"\"\"\n return np.nonzero(np.ravel(a))[0]\n\n\ndef _correlate_dispatcher(a, v, mode=None):\n return (a, v)\n\n\n@array_function_dispatch(_correlate_dispatcher)\ndef correlate(a, v, mode='valid'):\n r\"\"\"\n Cross-correlation of two 1-dimensional sequences.\n\n This function computes the correlation as generally defined in signal\n processing texts [1]_:\n\n .. math:: c_k = \\sum_n a_{n+k} \\cdot \\overline{v}_n\n\n with a and v sequences being zero-padded where necessary and\n :math:`\\overline v` denoting complex conjugation.\n\n Parameters\n ----------\n a, v : array_like\n Input sequences.\n mode : {'valid', 'same', 'full'}, optional\n Refer to the `convolve` docstring. Note that the default\n is 'valid', unlike `convolve`, which uses 'full'.\n\n Returns\n -------\n out : ndarray\n Discrete cross-correlation of `a` and `v`.\n\n See Also\n --------\n convolve : Discrete, linear convolution of two one-dimensional sequences.\n scipy.signal.correlate : uses FFT which has superior performance\n on large arrays.\n\n Notes\n -----\n The definition of correlation above is not unique and sometimes\n correlation may be defined differently. Another common definition is [1]_:\n\n .. math:: c'_k = \\sum_n a_{n} \\cdot \\overline{v_{n+k}}\n\n which is related to :math:`c_k` by :math:`c'_k = c_{-k}`.\n\n `numpy.correlate` may perform slowly in large arrays (i.e. n = 1e5)\n because it does not use the FFT to compute the convolution; in that case,\n `scipy.signal.correlate` might be preferable.\n\n References\n ----------\n .. [1] Wikipedia, \"Cross-correlation\",\n https://en.wikipedia.org/wiki/Cross-correlation\n\n Examples\n --------\n >>> import numpy as np\n >>> np.correlate([1, 2, 3], [0, 1, 0.5])\n array([3.5])\n >>> np.correlate([1, 2, 3], [0, 1, 0.5], \"same\")\n array([2. , 3.5, 3. ])\n >>> np.correlate([1, 2, 3], [0, 1, 0.5], \"full\")\n array([0.5, 2. , 3.5, 3. , 0. ])\n\n Using complex sequences:\n\n >>> np.correlate([1+1j, 2, 3-1j], [0, 1, 0.5j], 'full')\n array([ 0.5-0.5j, 1.0+0.j , 1.5-1.5j, 3.0-1.j , 0.0+0.j ])\n\n Note that you get the time reversed, complex conjugated result\n (:math:`\\overline{c_{-k}}`) when the two input sequences a and v change\n places:\n\n >>> np.correlate([0, 1, 0.5j], [1+1j, 2, 3-1j], 'full')\n array([ 0.0+0.j , 3.0+1.j , 1.5+1.5j, 1.0+0.j , 0.5+0.5j])\n\n \"\"\"\n return multiarray.correlate2(a, v, mode)\n\n\ndef _convolve_dispatcher(a, v, mode=None):\n return (a, v)\n\n\n@array_function_dispatch(_convolve_dispatcher)\ndef convolve(a, v, mode='full'):\n \"\"\"\n Returns the discrete, linear convolution of two one-dimensional sequences.\n\n The convolution operator is often seen in signal processing, where it\n models the effect of a linear time-invariant system on a signal [1]_. In\n probability theory, the sum of two independent random variables is\n distributed according to the convolution of their individual\n distributions.\n\n If `v` is longer than `a`, the arrays are swapped before computation.\n\n Parameters\n ----------\n a : (N,) array_like\n First one-dimensional input array.\n v : (M,) array_like\n Second one-dimensional input array.\n mode : {'full', 'valid', 'same'}, optional\n 'full':\n By default, mode is 'full'. This returns the convolution\n at each point of overlap, with an output shape of (N+M-1,). At\n the end-points of the convolution, the signals do not overlap\n completely, and boundary effects may be seen.\n\n 'same':\n Mode 'same' returns output of length ``max(M, N)``. Boundary\n effects are still visible.\n\n 'valid':\n Mode 'valid' returns output of length\n ``max(M, N) - min(M, N) + 1``. The convolution product is only given\n for points where the signals overlap completely. Values outside\n the signal boundary have no effect.\n\n Returns\n -------\n out : ndarray\n Discrete, linear convolution of `a` and `v`.\n\n See Also\n --------\n scipy.signal.fftconvolve : Convolve two arrays using the Fast Fourier\n Transform.\n scipy.linalg.toeplitz : Used to construct the convolution operator.\n polymul : Polynomial multiplication. Same output as convolve, but also\n accepts poly1d objects as input.\n\n Notes\n -----\n The discrete convolution operation is defined as\n\n .. math:: (a * v)_n = \\\\sum_{m = -\\\\infty}^{\\\\infty} a_m v_{n - m}\n\n It can be shown that a convolution :math:`x(t) * y(t)` in time/space\n is equivalent to the multiplication :math:`X(f) Y(f)` in the Fourier\n domain, after appropriate padding (padding is necessary to prevent\n circular convolution). Since multiplication is more efficient (faster)\n than convolution, the function `scipy.signal.fftconvolve` exploits the\n FFT to calculate the convolution of large data-sets.\n\n References\n ----------\n .. [1] Wikipedia, \"Convolution\",\n https://en.wikipedia.org/wiki/Convolution\n\n Examples\n --------\n Note how the convolution operator flips the second array\n before \"sliding\" the two across one another:\n\n >>> import numpy as np\n >>> np.convolve([1, 2, 3], [0, 1, 0.5])\n array([0. , 1. , 2.5, 4. , 1.5])\n\n Only return the middle values of the convolution.\n Contains boundary effects, where zeros are taken\n into account:\n\n >>> np.convolve([1,2,3],[0,1,0.5], 'same')\n array([1. , 2.5, 4. ])\n\n The two arrays are of the same length, so there\n is only one position where they completely overlap:\n\n >>> np.convolve([1,2,3],[0,1,0.5], 'valid')\n array([2.5])\n\n \"\"\"\n a, v = array(a, copy=None, ndmin=1), array(v, copy=None, ndmin=1)\n if len(a) == 0:\n raise ValueError('a cannot be empty')\n if len(v) == 0:\n raise ValueError('v cannot be empty')\n if len(v) > len(a):\n a, v = v, a\n return multiarray.correlate(a, v[::-1], mode)\n\n\ndef _outer_dispatcher(a, b, out=None):\n return (a, b, out)\n\n\n@array_function_dispatch(_outer_dispatcher)\ndef outer(a, b, out=None):\n \"\"\"\n Compute the outer product of two vectors.\n\n Given two vectors `a` and `b` of length ``M`` and ``N``, respectively,\n the outer product [1]_ is::\n\n [[a_0*b_0 a_0*b_1 ... a_0*b_{N-1} ]\n [a_1*b_0 .\n [ ... .\n [a_{M-1}*b_0 a_{M-1}*b_{N-1} ]]\n\n Parameters\n ----------\n a : (M,) array_like\n First input vector. Input is flattened if\n not already 1-dimensional.\n b : (N,) array_like\n Second input vector. Input is flattened if\n not already 1-dimensional.\n out : (M, N) ndarray, optional\n A location where the result is stored\n\n Returns\n -------\n out : (M, N) ndarray\n ``out[i, j] = a[i] * b[j]``\n\n See also\n --------\n inner\n einsum : ``einsum('i,j->ij', a.ravel(), b.ravel())`` is the equivalent.\n ufunc.outer : A generalization to dimensions other than 1D and other\n operations. ``np.multiply.outer(a.ravel(), b.ravel())``\n is the equivalent.\n linalg.outer : An Array API compatible variation of ``np.outer``,\n which accepts 1-dimensional inputs only.\n tensordot : ``np.tensordot(a.ravel(), b.ravel(), axes=((), ()))``\n is the equivalent.\n\n References\n ----------\n .. [1] G. H. Golub and C. F. Van Loan, *Matrix Computations*, 3rd\n ed., Baltimore, MD, Johns Hopkins University Press, 1996,\n pg. 8.\n\n Examples\n --------\n Make a (*very* coarse) grid for computing a Mandelbrot set:\n\n >>> import numpy as np\n >>> rl = np.outer(np.ones((5,)), np.linspace(-2, 2, 5))\n >>> rl\n array([[-2., -1., 0., 1., 2.],\n [-2., -1., 0., 1., 2.],\n [-2., -1., 0., 1., 2.],\n [-2., -1., 0., 1., 2.],\n [-2., -1., 0., 1., 2.]])\n >>> im = np.outer(1j*np.linspace(2, -2, 5), np.ones((5,)))\n >>> im\n array([[0.+2.j, 0.+2.j, 0.+2.j, 0.+2.j, 0.+2.j],\n [0.+1.j, 0.+1.j, 0.+1.j, 0.+1.j, 0.+1.j],\n [0.+0.j, 0.+0.j, 0.+0.j, 0.+0.j, 0.+0.j],\n [0.-1.j, 0.-1.j, 0.-1.j, 0.-1.j, 0.-1.j],\n [0.-2.j, 0.-2.j, 0.-2.j, 0.-2.j, 0.-2.j]])\n >>> grid = rl + im\n >>> grid\n array([[-2.+2.j, -1.+2.j, 0.+2.j, 1.+2.j, 2.+2.j],\n [-2.+1.j, -1.+1.j, 0.+1.j, 1.+1.j, 2.+1.j],\n [-2.+0.j, -1.+0.j, 0.+0.j, 1.+0.j, 2.+0.j],\n [-2.-1.j, -1.-1.j, 0.-1.j, 1.-1.j, 2.-1.j],\n [-2.-2.j, -1.-2.j, 0.-2.j, 1.-2.j, 2.-2.j]])\n\n An example using a \"vector\" of letters:\n\n >>> x = np.array(['a', 'b', 'c'], dtype=object)\n >>> np.outer(x, [1, 2, 3])\n array([['a', 'aa', 'aaa'],\n ['b', 'bb', 'bbb'],\n ['c', 'cc', 'ccc']], dtype=object)\n\n \"\"\"\n a = asarray(a)\n b = asarray(b)\n return multiply(a.ravel()[:, newaxis], b.ravel()[newaxis, :], out)\n\n\ndef _tensordot_dispatcher(a, b, axes=None):\n return (a, b)\n\n\n@array_function_dispatch(_tensordot_dispatcher)\ndef tensordot(a, b, axes=2):\n \"\"\"\n Compute tensor dot product along specified axes.\n\n Given two tensors, `a` and `b`, and an array_like object containing\n two array_like objects, ``(a_axes, b_axes)``, sum the products of\n `a`'s and `b`'s elements (components) over the axes specified by\n ``a_axes`` and ``b_axes``. The third argument can be a single non-negative\n integer_like scalar, ``N``; if it is such, then the last ``N`` dimensions\n of `a` and the first ``N`` dimensions of `b` are summed over.\n\n Parameters\n ----------\n a, b : array_like\n Tensors to \"dot\".\n\n axes : int or (2,) array_like\n * integer_like\n If an int N, sum over the last N axes of `a` and the first N axes\n of `b` in order. The sizes of the corresponding axes must match.\n * (2,) array_like\n Or, a list of axes to be summed over, first sequence applying to `a`,\n second to `b`. Both elements array_like must be of the same length.\n\n Returns\n -------\n output : ndarray\n The tensor dot product of the input.\n\n See Also\n --------\n dot, einsum\n\n Notes\n -----\n Three common use cases are:\n * ``axes = 0`` : tensor product :math:`a\\\\otimes b`\n * ``axes = 1`` : tensor dot product :math:`a\\\\cdot b`\n * ``axes = 2`` : (default) tensor double contraction :math:`a:b`\n\n When `axes` is integer_like, the sequence of axes for evaluation\n will be: from the -Nth axis to the -1th axis in `a`,\n and from the 0th axis to (N-1)th axis in `b`.\n For example, ``axes = 2`` is the equal to\n ``axes = [[-2, -1], [0, 1]]``.\n When N-1 is smaller than 0, or when -N is larger than -1,\n the element of `a` and `b` are defined as the `axes`.\n\n When there is more than one axis to sum over - and they are not the last\n (first) axes of `a` (`b`) - the argument `axes` should consist of\n two sequences of the same length, with the first axis to sum over given\n first in both sequences, the second axis second, and so forth.\n The calculation can be referred to ``numpy.einsum``.\n\n The shape of the result consists of the non-contracted axes of the\n first tensor, followed by the non-contracted axes of the second.\n\n Examples\n --------\n An example on integer_like:\n\n >>> a_0 = np.array([[1, 2], [3, 4]])\n >>> b_0 = np.array([[5, 6], [7, 8]])\n >>> c_0 = np.tensordot(a_0, b_0, axes=0)\n >>> c_0.shape\n (2, 2, 2, 2)\n >>> c_0\n array([[[[ 5, 6],\n [ 7, 8]],\n [[10, 12],\n [14, 16]]],\n [[[15, 18],\n [21, 24]],\n [[20, 24],\n [28, 32]]]])\n\n An example on array_like:\n\n >>> a = np.arange(60.).reshape(3,4,5)\n >>> b = np.arange(24.).reshape(4,3,2)\n >>> c = np.tensordot(a,b, axes=([1,0],[0,1]))\n >>> c.shape\n (5, 2)\n >>> c\n array([[4400., 4730.],\n [4532., 4874.],\n [4664., 5018.],\n [4796., 5162.],\n [4928., 5306.]])\n\n A slower but equivalent way of computing the same...\n\n >>> d = np.zeros((5,2))\n >>> for i in range(5):\n ... for j in range(2):\n ... for k in range(3):\n ... for n in range(4):\n ... d[i,j] += a[k,n,i] * b[n,k,j]\n >>> c == d\n array([[ True, True],\n [ True, True],\n [ True, True],\n [ True, True],\n [ True, True]])\n\n An extended example taking advantage of the overloading of + and \\\\*:\n\n >>> a = np.array(range(1, 9)).reshape((2, 2, 2))\n >>> A = np.array(('a', 'b', 'c', 'd'), dtype=object)\n >>> A = A.reshape((2, 2))\n >>> a; A\n array([[[1, 2],\n [3, 4]],\n [[5, 6],\n [7, 8]]])\n array([['a', 'b'],\n ['c', 'd']], dtype=object)\n\n >>> np.tensordot(a, A) # third argument default is 2 for double-contraction\n array(['abbcccdddd', 'aaaaabbbbbbcccccccdddddddd'], dtype=object)\n\n >>> np.tensordot(a, A, 1)\n array([[['acc', 'bdd'],\n ['aaacccc', 'bbbdddd']],\n [['aaaaacccccc', 'bbbbbdddddd'],\n ['aaaaaaacccccccc', 'bbbbbbbdddddddd']]], dtype=object)\n\n >>> np.tensordot(a, A, 0) # tensor product (result too long to incl.)\n array([[[[['a', 'b'],\n ['c', 'd']],\n ...\n\n >>> np.tensordot(a, A, (0, 1))\n array([[['abbbbb', 'cddddd'],\n ['aabbbbbb', 'ccdddddd']],\n [['aaabbbbbbb', 'cccddddddd'],\n ['aaaabbbbbbbb', 'ccccdddddddd']]], dtype=object)\n\n >>> np.tensordot(a, A, (2, 1))\n array([[['abb', 'cdd'],\n ['aaabbbb', 'cccdddd']],\n [['aaaaabbbbbb', 'cccccdddddd'],\n ['aaaaaaabbbbbbbb', 'cccccccdddddddd']]], dtype=object)\n\n >>> np.tensordot(a, A, ((0, 1), (0, 1)))\n array(['abbbcccccddddddd', 'aabbbbccccccdddddddd'], dtype=object)\n\n >>> np.tensordot(a, A, ((2, 1), (1, 0)))\n array(['acccbbdddd', 'aaaaacccccccbbbbbbdddddddd'], dtype=object)\n\n \"\"\"\n try:\n iter(axes)\n except Exception:\n axes_a = list(range(-axes, 0))\n axes_b = list(range(axes))\n else:\n axes_a, axes_b = axes\n try:\n na = len(axes_a)\n axes_a = list(axes_a)\n except TypeError:\n axes_a = [axes_a]\n na = 1\n try:\n nb = len(axes_b)\n axes_b = list(axes_b)\n except TypeError:\n axes_b = [axes_b]\n nb = 1\n\n a, b = asarray(a), asarray(b)\n as_ = a.shape\n nda = a.ndim\n bs = b.shape\n ndb = b.ndim\n equal = True\n if na != nb:\n equal = False\n else:\n for k in range(na):\n if as_[axes_a[k]] != bs[axes_b[k]]:\n equal = False\n break\n if axes_a[k] < 0:\n axes_a[k] += nda\n if axes_b[k] < 0:\n axes_b[k] += ndb\n if not equal:\n raise ValueError(\"shape-mismatch for sum\")\n\n # Move the axes to sum over to the end of \"a\"\n # and to the front of \"b\"\n notin = [k for k in range(nda) if k not in axes_a]\n newaxes_a = notin + axes_a\n N2 = math.prod(as_[axis] for axis in axes_a)\n newshape_a = (math.prod(as_[ax] for ax in notin), N2)\n olda = [as_[axis] for axis in notin]\n\n notin = [k for k in range(ndb) if k not in axes_b]\n newaxes_b = axes_b + notin\n N2 = math.prod(bs[axis] for axis in axes_b)\n newshape_b = (N2, math.prod(bs[ax] for ax in notin))\n oldb = [bs[axis] for axis in notin]\n\n at = a.transpose(newaxes_a).reshape(newshape_a)\n bt = b.transpose(newaxes_b).reshape(newshape_b)\n res = dot(at, bt)\n return res.reshape(olda + oldb)\n\n\ndef _roll_dispatcher(a, shift, axis=None):\n return (a,)\n\n\n@array_function_dispatch(_roll_dispatcher)\ndef roll(a, shift, axis=None):\n \"\"\"\n Roll array elements along a given axis.\n\n Elements that roll beyond the last position are re-introduced at\n the first.\n\n Parameters\n ----------\n a : array_like\n Input array.\n shift : int or tuple of ints\n The number of places by which elements are shifted. If a tuple,\n then `axis` must be a tuple of the same size, and each of the\n given axes is shifted by the corresponding number. If an int\n while `axis` is a tuple of ints, then the same value is used for\n all given axes.\n axis : int or tuple of ints, optional\n Axis or axes along which elements are shifted. By default, the\n array is flattened before shifting, after which the original\n shape is restored.\n\n Returns\n -------\n res : ndarray\n Output array, with the same shape as `a`.\n\n See Also\n --------\n rollaxis : Roll the specified axis backwards, until it lies in a\n given position.\n\n Notes\n -----\n Supports rolling over multiple dimensions simultaneously.\n\n Examples\n --------\n >>> import numpy as np\n >>> x = np.arange(10)\n >>> np.roll(x, 2)\n array([8, 9, 0, 1, 2, 3, 4, 5, 6, 7])\n >>> np.roll(x, -2)\n array([2, 3, 4, 5, 6, 7, 8, 9, 0, 1])\n\n >>> x2 = np.reshape(x, (2, 5))\n >>> x2\n array([[0, 1, 2, 3, 4],\n [5, 6, 7, 8, 9]])\n >>> np.roll(x2, 1)\n array([[9, 0, 1, 2, 3],\n [4, 5, 6, 7, 8]])\n >>> np.roll(x2, -1)\n array([[1, 2, 3, 4, 5],\n [6, 7, 8, 9, 0]])\n >>> np.roll(x2, 1, axis=0)\n array([[5, 6, 7, 8, 9],\n [0, 1, 2, 3, 4]])\n >>> np.roll(x2, -1, axis=0)\n array([[5, 6, 7, 8, 9],\n [0, 1, 2, 3, 4]])\n >>> np.roll(x2, 1, axis=1)\n array([[4, 0, 1, 2, 3],\n [9, 5, 6, 7, 8]])\n >>> np.roll(x2, -1, axis=1)\n array([[1, 2, 3, 4, 0],\n [6, 7, 8, 9, 5]])\n >>> np.roll(x2, (1, 1), axis=(1, 0))\n array([[9, 5, 6, 7, 8],\n [4, 0, 1, 2, 3]])\n >>> np.roll(x2, (2, 1), axis=(1, 0))\n array([[8, 9, 5, 6, 7],\n [3, 4, 0, 1, 2]])\n\n \"\"\"\n a = asanyarray(a)\n if axis is None:\n return roll(a.ravel(), shift, 0).reshape(a.shape)\n\n else:\n axis = normalize_axis_tuple(axis, a.ndim, allow_duplicate=True)\n broadcasted = broadcast(shift, axis)\n if broadcasted.ndim > 1:\n raise ValueError(\n \"'shift' and 'axis' should be scalars or 1D sequences\")\n shifts = dict.fromkeys(range(a.ndim), 0)\n for sh, ax in broadcasted:\n shifts[ax] += int(sh)\n\n rolls = [((slice(None), slice(None)),)] * a.ndim\n for ax, offset in shifts.items():\n offset %= a.shape[ax] or 1 # If `a` is empty, nothing matters.\n if offset:\n # (original, result), (original, result)\n rolls[ax] = ((slice(None, -offset), slice(offset, None)),\n (slice(-offset, None), slice(None, offset)))\n\n result = empty_like(a)\n for indices in itertools.product(*rolls):\n arr_index, res_index = zip(*indices)\n result[res_index] = a[arr_index]\n\n return result\n\n\ndef _rollaxis_dispatcher(a, axis, start=None):\n return (a,)\n\n\n@array_function_dispatch(_rollaxis_dispatcher)\ndef rollaxis(a, axis, start=0):\n \"\"\"\n Roll the specified axis backwards, until it lies in a given position.\n\n This function continues to be supported for backward compatibility, but you\n should prefer `moveaxis`. The `moveaxis` function was added in NumPy\n 1.11.\n\n Parameters\n ----------\n a : ndarray\n Input array.\n axis : int\n The axis to be rolled. The positions of the other axes do not\n change relative to one another.\n start : int, optional\n When ``start <= axis``, the axis is rolled back until it lies in\n this position. When ``start > axis``, the axis is rolled until it\n lies before this position. The default, 0, results in a \"complete\"\n roll. The following table describes how negative values of ``start``\n are interpreted:\n\n .. table::\n :align: left\n\n +-------------------+----------------------+\n | ``start`` | Normalized ``start`` |\n +===================+======================+\n | ``-(arr.ndim+1)`` | raise ``AxisError`` |\n +-------------------+----------------------+\n | ``-arr.ndim`` | 0 |\n +-------------------+----------------------+\n | |vdots| | |vdots| |\n +-------------------+----------------------+\n | ``-1`` | ``arr.ndim-1`` |\n +-------------------+----------------------+\n | ``0`` | ``0`` |\n +-------------------+----------------------+\n | |vdots| | |vdots| |\n +-------------------+----------------------+\n | ``arr.ndim`` | ``arr.ndim`` |\n +-------------------+----------------------+\n | ``arr.ndim + 1`` | raise ``AxisError`` |\n +-------------------+----------------------+\n\n .. |vdots| unicode:: U+22EE .. Vertical Ellipsis\n\n Returns\n -------\n res : ndarray\n For NumPy >= 1.10.0 a view of `a` is always returned. For earlier\n NumPy versions a view of `a` is returned only if the order of the\n axes is changed, otherwise the input array is returned.\n\n See Also\n --------\n moveaxis : Move array axes to new positions.\n roll : Roll the elements of an array by a number of positions along a\n given axis.\n\n Examples\n --------\n >>> import numpy as np\n >>> a = np.ones((3,4,5,6))\n >>> np.rollaxis(a, 3, 1).shape\n (3, 6, 4, 5)\n >>> np.rollaxis(a, 2).shape\n (5, 3, 4, 6)\n >>> np.rollaxis(a, 1, 4).shape\n (3, 5, 6, 4)\n\n \"\"\"\n n = a.ndim\n axis = normalize_axis_index(axis, n)\n if start < 0:\n start += n\n msg = \"'%s' arg requires %d <= %s < %d, but %d was passed in\"\n if not (0 <= start < n + 1):\n raise AxisError(msg % ('start', -n, 'start', n + 1, start))\n if axis < start:\n # it's been removed\n start -= 1\n if axis == start:\n return a[...]\n axes = list(range(n))\n axes.remove(axis)\n axes.insert(start, axis)\n return a.transpose(axes)\n\n\n@set_module(\"numpy.lib.array_utils\")\ndef normalize_axis_tuple(axis, ndim, argname=None, allow_duplicate=False):\n \"\"\"\n Normalizes an axis argument into a tuple of non-negative integer axes.\n\n This handles shorthands such as ``1`` and converts them to ``(1,)``,\n as well as performing the handling of negative indices covered by\n `normalize_axis_index`.\n\n By default, this forbids axes from being specified multiple times.\n\n Used internally by multi-axis-checking logic.\n\n Parameters\n ----------\n axis : int, iterable of int\n The un-normalized index or indices of the axis.\n ndim : int\n The number of dimensions of the array that `axis` should be normalized\n against.\n argname : str, optional\n A prefix to put before the error message, typically the name of the\n argument.\n allow_duplicate : bool, optional\n If False, the default, disallow an axis from being specified twice.\n\n Returns\n -------\n normalized_axes : tuple of int\n The normalized axis index, such that `0 <= normalized_axis < ndim`\n\n Raises\n ------\n AxisError\n If any axis provided is out of range\n ValueError\n If an axis is repeated\n\n See also\n --------\n normalize_axis_index : normalizing a single scalar axis\n \"\"\"\n # Optimization to speed-up the most common cases.\n if not isinstance(axis, (tuple, list)):\n try:\n axis = [operator.index(axis)]\n except TypeError:\n pass\n # Going via an iterator directly is slower than via list comprehension.\n axis = tuple(normalize_axis_index(ax, ndim, argname) for ax in axis)\n if not allow_duplicate and len(set(axis)) != len(axis):\n if argname:\n raise ValueError(f'repeated axis in `{argname}` argument')\n else:\n raise ValueError('repeated axis')\n return axis\n\n\ndef _moveaxis_dispatcher(a, source, destination):\n return (a,)\n\n\n@array_function_dispatch(_moveaxis_dispatcher)\ndef moveaxis(a, source, destination):\n \"\"\"\n Move axes of an array to new positions.\n\n Other axes remain in their original order.\n\n Parameters\n ----------\n a : np.ndarray\n The array whose axes should be reordered.\n source : int or sequence of int\n Original positions of the axes to move. These must be unique.\n destination : int or sequence of int\n Destination positions for each of the original axes. These must also be\n unique.\n\n Returns\n -------\n result : np.ndarray\n Array with moved axes. This array is a view of the input array.\n\n See Also\n --------\n transpose : Permute the dimensions of an array.\n swapaxes : Interchange two axes of an array.\n\n Examples\n --------\n >>> import numpy as np\n >>> x = np.zeros((3, 4, 5))\n >>> np.moveaxis(x, 0, -1).shape\n (4, 5, 3)\n >>> np.moveaxis(x, -1, 0).shape\n (5, 3, 4)\n\n These all achieve the same result:\n\n >>> np.transpose(x).shape\n (5, 4, 3)\n >>> np.swapaxes(x, 0, -1).shape\n (5, 4, 3)\n >>> np.moveaxis(x, [0, 1], [-1, -2]).shape\n (5, 4, 3)\n >>> np.moveaxis(x, [0, 1, 2], [-1, -2, -3]).shape\n (5, 4, 3)\n\n \"\"\"\n try:\n # allow duck-array types if they define transpose\n transpose = a.transpose\n except AttributeError:\n a = asarray(a)\n transpose = a.transpose\n\n source = normalize_axis_tuple(source, a.ndim, 'source')\n destination = normalize_axis_tuple(destination, a.ndim, 'destination')\n if len(source) != len(destination):\n raise ValueError('`source` and `destination` arguments must have '\n 'the same number of elements')\n\n order = [n for n in range(a.ndim) if n not in source]\n\n for dest, src in sorted(zip(destination, source)):\n order.insert(dest, src)\n\n result = transpose(order)\n return result\n\n\ndef _cross_dispatcher(a, b, axisa=None, axisb=None, axisc=None, axis=None):\n return (a, b)\n\n\n@array_function_dispatch(_cross_dispatcher)\ndef cross(a, b, axisa=-1, axisb=-1, axisc=-1, axis=None):\n \"\"\"\n Return the cross product of two (arrays of) vectors.\n\n The cross product of `a` and `b` in :math:`R^3` is a vector perpendicular\n to both `a` and `b`. If `a` and `b` are arrays of vectors, the vectors\n are defined by the last axis of `a` and `b` by default, and these axes\n can have dimensions 2 or 3. Where the dimension of either `a` or `b` is\n 2, the third component of the input vector is assumed to be zero and the\n cross product calculated accordingly. In cases where both input vectors\n have dimension 2, the z-component of the cross product is returned.\n\n Parameters\n ----------\n a : array_like\n Components of the first vector(s).\n b : array_like\n Components of the second vector(s).\n axisa : int, optional\n Axis of `a` that defines the vector(s). By default, the last axis.\n axisb : int, optional\n Axis of `b` that defines the vector(s). By default, the last axis.\n axisc : int, optional\n Axis of `c` containing the cross product vector(s). Ignored if\n both input vectors have dimension 2, as the return is scalar.\n By default, the last axis.\n axis : int, optional\n If defined, the axis of `a`, `b` and `c` that defines the vector(s)\n and cross product(s). Overrides `axisa`, `axisb` and `axisc`.\n\n Returns\n -------\n c : ndarray\n Vector cross product(s).\n\n Raises\n ------\n ValueError\n When the dimension of the vector(s) in `a` and/or `b` does not\n equal 2 or 3.\n\n See Also\n --------\n inner : Inner product\n outer : Outer product.\n linalg.cross : An Array API compatible variation of ``np.cross``,\n which accepts (arrays of) 3-element vectors only.\n ix_ : Construct index arrays.\n\n Notes\n -----\n Supports full broadcasting of the inputs.\n\n Dimension-2 input arrays were deprecated in 2.0.0. If you do need this\n functionality, you can use::\n\n def cross2d(x, y):\n return x[..., 0] * y[..., 1] - x[..., 1] * y[..., 0]\n\n Examples\n --------\n Vector cross-product.\n\n >>> import numpy as np\n >>> x = [1, 2, 3]\n >>> y = [4, 5, 6]\n >>> np.cross(x, y)\n array([-3, 6, -3])\n\n One vector with dimension 2.\n\n >>> x = [1, 2]\n >>> y = [4, 5, 6]\n >>> np.cross(x, y)\n array([12, -6, -3])\n\n Equivalently:\n\n >>> x = [1, 2, 0]\n >>> y = [4, 5, 6]\n >>> np.cross(x, y)\n array([12, -6, -3])\n\n Both vectors with dimension 2.\n\n >>> x = [1,2]\n >>> y = [4,5]\n >>> np.cross(x, y)\n array(-3)\n\n Multiple vector cross-products. Note that the direction of the cross\n product vector is defined by the *right-hand rule*.\n\n >>> x = np.array([[1,2,3], [4,5,6]])\n >>> y = np.array([[4,5,6], [1,2,3]])\n >>> np.cross(x, y)\n array([[-3, 6, -3],\n [ 3, -6, 3]])\n\n The orientation of `c` can be changed using the `axisc` keyword.\n\n >>> np.cross(x, y, axisc=0)\n array([[-3, 3],\n [ 6, -6],\n [-3, 3]])\n\n Change the vector definition of `x` and `y` using `axisa` and `axisb`.\n\n >>> x = np.array([[1,2,3], [4,5,6], [7, 8, 9]])\n >>> y = np.array([[7, 8, 9], [4,5,6], [1,2,3]])\n >>> np.cross(x, y)\n array([[ -6, 12, -6],\n [ 0, 0, 0],\n [ 6, -12, 6]])\n >>> np.cross(x, y, axisa=0, axisb=0)\n array([[-24, 48, -24],\n [-30, 60, -30],\n [-36, 72, -36]])\n\n \"\"\"\n if axis is not None:\n axisa, axisb, axisc = (axis,) * 3\n a = asarray(a)\n b = asarray(b)\n\n if (a.ndim < 1) or (b.ndim < 1):\n raise ValueError(\"At least one array has zero dimension\")\n\n # Check axisa and axisb are within bounds\n axisa = normalize_axis_index(axisa, a.ndim, msg_prefix='axisa')\n axisb = normalize_axis_index(axisb, b.ndim, msg_prefix='axisb')\n\n # Move working axis to the end of the shape\n a = moveaxis(a, axisa, -1)\n b = moveaxis(b, axisb, -1)\n msg = (\"incompatible dimensions for cross product\\n\"\n \"(dimension must be 2 or 3)\")\n if a.shape[-1] not in (2, 3) or b.shape[-1] not in (2, 3):\n raise ValueError(msg)\n if a.shape[-1] == 2 or b.shape[-1] == 2:\n # Deprecated in NumPy 2.0, 2023-09-26\n warnings.warn(\n \"Arrays of 2-dimensional vectors are deprecated. Use arrays of \"\n \"3-dimensional vectors instead. (deprecated in NumPy 2.0)\",\n DeprecationWarning, stacklevel=2\n )\n\n # Create the output array\n shape = broadcast(a[..., 0], b[..., 0]).shape\n if a.shape[-1] == 3 or b.shape[-1] == 3:\n shape += (3,)\n # Check axisc is within bounds\n axisc = normalize_axis_index(axisc, len(shape), msg_prefix='axisc')\n dtype = promote_types(a.dtype, b.dtype)\n cp = empty(shape, dtype)\n\n # recast arrays as dtype\n a = a.astype(dtype)\n b = b.astype(dtype)\n\n # create local aliases for readability\n a0 = a[..., 0]\n a1 = a[..., 1]\n if a.shape[-1] == 3:\n a2 = a[..., 2]\n b0 = b[..., 0]\n b1 = b[..., 1]\n if b.shape[-1] == 3:\n b2 = b[..., 2]\n if cp.ndim != 0 and cp.shape[-1] == 3:\n cp0 = cp[..., 0]\n cp1 = cp[..., 1]\n cp2 = cp[..., 2]\n\n if a.shape[-1] == 2:\n if b.shape[-1] == 2:\n # a0 * b1 - a1 * b0\n multiply(a0, b1, out=cp)\n cp -= a1 * b0\n return cp\n else:\n assert b.shape[-1] == 3\n # cp0 = a1 * b2 - 0 (a2 = 0)\n # cp1 = 0 - a0 * b2 (a2 = 0)\n # cp2 = a0 * b1 - a1 * b0\n multiply(a1, b2, out=cp0)\n multiply(a0, b2, out=cp1)\n negative(cp1, out=cp1)\n multiply(a0, b1, out=cp2)\n cp2 -= a1 * b0\n else:\n assert a.shape[-1] == 3\n if b.shape[-1] == 3:\n # cp0 = a1 * b2 - a2 * b1\n # cp1 = a2 * b0 - a0 * b2\n # cp2 = a0 * b1 - a1 * b0\n multiply(a1, b2, out=cp0)\n tmp = np.multiply(a2, b1, out=...)\n cp0 -= tmp\n multiply(a2, b0, out=cp1)\n multiply(a0, b2, out=tmp)\n cp1 -= tmp\n multiply(a0, b1, out=cp2)\n multiply(a1, b0, out=tmp)\n cp2 -= tmp\n else:\n assert b.shape[-1] == 2\n # cp0 = 0 - a2 * b1 (b2 = 0)\n # cp1 = a2 * b0 - 0 (b2 = 0)\n # cp2 = a0 * b1 - a1 * b0\n multiply(a2, b1, out=cp0)\n negative(cp0, out=cp0)\n multiply(a2, b0, out=cp1)\n multiply(a0, b1, out=cp2)\n cp2 -= a1 * b0\n\n return moveaxis(cp, -1, axisc)\n\n\nlittle_endian = (sys.byteorder == 'little')\n\n\n@set_module('numpy')\ndef indices(dimensions, dtype=int, sparse=False):\n \"\"\"\n Return an array representing the indices of a grid.\n\n Compute an array where the subarrays contain index values 0, 1, ...\n varying only along the corresponding axis.\n\n Parameters\n ----------\n dimensions : sequence of ints\n The shape of the grid.\n dtype : dtype, optional\n Data type of the result.\n sparse : boolean, optional\n Return a sparse representation of the grid instead of a dense\n representation. Default is False.\n\n Returns\n -------\n grid : one ndarray or tuple of ndarrays\n If sparse is False:\n Returns one array of grid indices,\n ``grid.shape = (len(dimensions),) + tuple(dimensions)``.\n If sparse is True:\n Returns a tuple of arrays, with\n ``grid[i].shape = (1, ..., 1, dimensions[i], 1, ..., 1)`` with\n dimensions[i] in the ith place\n\n See Also\n --------\n mgrid, ogrid, meshgrid\n\n Notes\n -----\n The output shape in the dense case is obtained by prepending the number\n of dimensions in front of the tuple of dimensions, i.e. if `dimensions`\n is a tuple ``(r0, ..., rN-1)`` of length ``N``, the output shape is\n ``(N, r0, ..., rN-1)``.\n\n The subarrays ``grid[k]`` contains the N-D array of indices along the\n ``k-th`` axis. Explicitly::\n\n grid[k, i0, i1, ..., iN-1] = ik\n\n Examples\n --------\n >>> import numpy as np\n >>> grid = np.indices((2, 3))\n >>> grid.shape\n (2, 2, 3)\n >>> grid[0] # row indices\n array([[0, 0, 0],\n [1, 1, 1]])\n >>> grid[1] # column indices\n array([[0, 1, 2],\n [0, 1, 2]])\n\n The indices can be used as an index into an array.\n\n >>> x = np.arange(20).reshape(5, 4)\n >>> row, col = np.indices((2, 3))\n >>> x[row, col]\n array([[0, 1, 2],\n [4, 5, 6]])\n\n Note that it would be more straightforward in the above example to\n extract the required elements directly with ``x[:2, :3]``.\n\n If sparse is set to true, the grid will be returned in a sparse\n representation.\n\n >>> i, j = np.indices((2, 3), sparse=True)\n >>> i.shape\n (2, 1)\n >>> j.shape\n (1, 3)\n >>> i # row indices\n array([[0],\n [1]])\n >>> j # column indices\n array([[0, 1, 2]])\n\n \"\"\"\n dimensions = tuple(dimensions)\n N = len(dimensions)\n shape = (1,) * N\n if sparse:\n res = ()\n else:\n res = empty((N,) + dimensions, dtype=dtype)\n for i, dim in enumerate(dimensions):\n idx = arange(dim, dtype=dtype).reshape(\n shape[:i] + (dim,) + shape[i + 1:]\n )\n if sparse:\n res = res + (idx,)\n else:\n res[i] = idx\n return res\n\n\n@finalize_array_function_like\n@set_module('numpy')\ndef fromfunction(function, shape, *, dtype=float, like=None, **kwargs):\n \"\"\"\n Construct an array by executing a function over each coordinate.\n\n The resulting array therefore has a value ``fn(x, y, z)`` at\n coordinate ``(x, y, z)``.\n\n Parameters\n ----------\n function : callable\n The function is called with N parameters, where N is the rank of\n `shape`. Each parameter represents the coordinates of the array\n varying along a specific axis. For example, if `shape`\n were ``(2, 2)``, then the parameters would be\n ``array([[0, 0], [1, 1]])`` and ``array([[0, 1], [0, 1]])``\n shape : (N,) tuple of ints\n Shape of the output array, which also determines the shape of\n the coordinate arrays passed to `function`.\n dtype : data-type, optional\n Data-type of the coordinate arrays passed to `function`.\n By default, `dtype` is float.\n ${ARRAY_FUNCTION_LIKE}\n\n .. versionadded:: 1.20.0\n\n Returns\n -------\n fromfunction : any\n The result of the call to `function` is passed back directly.\n Therefore the shape of `fromfunction` is completely determined by\n `function`. If `function` returns a scalar value, the shape of\n `fromfunction` would not match the `shape` parameter.\n\n See Also\n --------\n indices, meshgrid\n\n Notes\n -----\n Keywords other than `dtype` and `like` are passed to `function`.\n\n Examples\n --------\n >>> import numpy as np\n >>> np.fromfunction(lambda i, j: i, (2, 2), dtype=float)\n array([[0., 0.],\n [1., 1.]])\n\n >>> np.fromfunction(lambda i, j: j, (2, 2), dtype=float)\n array([[0., 1.],\n [0., 1.]])\n\n >>> np.fromfunction(lambda i, j: i == j, (3, 3), dtype=int)\n array([[ True, False, False],\n [False, True, False],\n [False, False, True]])\n\n >>> np.fromfunction(lambda i, j: i + j, (3, 3), dtype=int)\n array([[0, 1, 2],\n [1, 2, 3],\n [2, 3, 4]])\n\n \"\"\"\n if like is not None:\n return _fromfunction_with_like(\n like, function, shape, dtype=dtype, **kwargs)\n\n args = indices(shape, dtype=dtype)\n return function(*args, **kwargs)\n\n\n_fromfunction_with_like = array_function_dispatch()(fromfunction)\n\n\ndef _frombuffer(buf, dtype, shape, order, axis_order=None):\n array = frombuffer(buf, dtype=dtype)\n if order == 'K' and axis_order is not None:\n return array.reshape(shape, order='C').transpose(axis_order)\n return array.reshape(shape, order=order)\n\n\n@set_module('numpy')\ndef isscalar(element):\n \"\"\"\n Returns True if the type of `element` is a scalar type.\n\n Parameters\n ----------\n element : any\n Input argument, can be of any type and shape.\n\n Returns\n -------\n val : bool\n True if `element` is a scalar type, False if it is not.\n\n See Also\n --------\n ndim : Get the number of dimensions of an array\n\n Notes\n -----\n If you need a stricter way to identify a *numerical* scalar, use\n ``isinstance(x, numbers.Number)``, as that returns ``False`` for most\n non-numerical elements such as strings.\n\n In most cases ``np.ndim(x) == 0`` should be used instead of this function,\n as that will also return true for 0d arrays. This is how numpy overloads\n functions in the style of the ``dx`` arguments to `gradient` and\n the ``bins`` argument to `histogram`. Some key differences:\n\n +------------------------------------+---------------+-------------------+\n | x |``isscalar(x)``|``np.ndim(x) == 0``|\n +====================================+===============+===================+\n | PEP 3141 numeric objects | ``True`` | ``True`` |\n | (including builtins) | | |\n +------------------------------------+---------------+-------------------+\n | builtin string and buffer objects | ``True`` | ``True`` |\n +------------------------------------+---------------+-------------------+\n | other builtin objects, like | ``False`` | ``True`` |\n | `pathlib.Path`, `Exception`, | | |\n | the result of `re.compile` | | |\n +------------------------------------+---------------+-------------------+\n | third-party objects like | ``False`` | ``True`` |\n | `matplotlib.figure.Figure` | | |\n +------------------------------------+---------------+-------------------+\n | zero-dimensional numpy arrays | ``False`` | ``True`` |\n +------------------------------------+---------------+-------------------+\n | other numpy arrays | ``False`` | ``False`` |\n +------------------------------------+---------------+-------------------+\n | `list`, `tuple`, and other | ``False`` | ``False`` |\n | sequence objects | | |\n +------------------------------------+---------------+-------------------+\n\n Examples\n --------\n >>> import numpy as np\n\n >>> np.isscalar(3.1)\n True\n\n >>> np.isscalar(np.array(3.1))\n False\n\n >>> np.isscalar([3.1])\n False\n\n >>> np.isscalar(False)\n True\n\n >>> np.isscalar('numpy')\n True\n\n NumPy supports PEP 3141 numbers:\n\n >>> from fractions import Fraction\n >>> np.isscalar(Fraction(5, 17))\n True\n >>> from numbers import Number\n >>> np.isscalar(Number())\n True\n\n \"\"\"\n return (isinstance(element, generic)\n or type(element) in ScalarType\n or isinstance(element, numbers.Number))\n\n\n@set_module('numpy')\ndef binary_repr(num, width=None):\n \"\"\"\n Return the binary representation of the input number as a string.\n\n For negative numbers, if width is not given, a minus sign is added to the\n front. If width is given, the two's complement of the number is\n returned, with respect to that width.\n\n In a two's-complement system negative numbers are represented by the two's\n complement of the absolute value. This is the most common method of\n representing signed integers on computers [1]_. A N-bit two's-complement\n system can represent every integer in the range\n :math:`-2^{N-1}` to :math:`+2^{N-1}-1`.\n\n Parameters\n ----------\n num : int\n Only an integer decimal number can be used.\n width : int, optional\n The length of the returned string if `num` is positive, or the length\n of the two's complement if `num` is negative, provided that `width` is\n at least a sufficient number of bits for `num` to be represented in\n the designated form. If the `width` value is insufficient, an error is\n raised.\n\n Returns\n -------\n bin : str\n Binary representation of `num` or two's complement of `num`.\n\n See Also\n --------\n base_repr: Return a string representation of a number in the given base\n system.\n bin: Python's built-in binary representation generator of an integer.\n\n Notes\n -----\n `binary_repr` is equivalent to using `base_repr` with base 2, but about 25x\n faster.\n\n References\n ----------\n .. [1] Wikipedia, \"Two's complement\",\n https://en.wikipedia.org/wiki/Two's_complement\n\n Examples\n --------\n >>> import numpy as np\n >>> np.binary_repr(3)\n '11'\n >>> np.binary_repr(-3)\n '-11'\n >>> np.binary_repr(3, width=4)\n '0011'\n\n The two's complement is returned when the input number is negative and\n width is specified:\n\n >>> np.binary_repr(-3, width=3)\n '101'\n >>> np.binary_repr(-3, width=5)\n '11101'\n\n \"\"\"\n def err_if_insufficient(width, binwidth):\n if width is not None and width < binwidth:\n raise ValueError(\n f\"Insufficient bit {width=} provided for {binwidth=}\"\n )\n\n # Ensure that num is a Python integer to avoid overflow or unwanted\n # casts to floating point.\n num = operator.index(num)\n\n if num == 0:\n return '0' * (width or 1)\n\n elif num > 0:\n binary = f'{num:b}'\n binwidth = len(binary)\n outwidth = (binwidth if width is None\n else builtins.max(binwidth, width))\n err_if_insufficient(width, binwidth)\n return binary.zfill(outwidth)\n\n elif width is None:\n return f'-{-num:b}'\n\n else:\n poswidth = len(f'{-num:b}')\n\n # See gh-8679: remove extra digit\n # for numbers at boundaries.\n if 2**(poswidth - 1) == -num:\n poswidth -= 1\n\n twocomp = 2**(poswidth + 1) + num\n binary = f'{twocomp:b}'\n binwidth = len(binary)\n\n outwidth = builtins.max(binwidth, width)\n err_if_insufficient(width, binwidth)\n return '1' * (outwidth - binwidth) + binary\n\n\n@set_module('numpy')\ndef base_repr(number, base=2, padding=0):\n \"\"\"\n Return a string representation of a number in the given base system.\n\n Parameters\n ----------\n number : int\n The value to convert. Positive and negative values are handled.\n base : int, optional\n Convert `number` to the `base` number system. The valid range is 2-36,\n the default value is 2.\n padding : int, optional\n Number of zeros padded on the left. Default is 0 (no padding).\n\n Returns\n -------\n out : str\n String representation of `number` in `base` system.\n\n See Also\n --------\n binary_repr : Faster version of `base_repr` for base 2.\n\n Examples\n --------\n >>> import numpy as np\n >>> np.base_repr(5)\n '101'\n >>> np.base_repr(6, 5)\n '11'\n >>> np.base_repr(7, base=5, padding=3)\n '00012'\n\n >>> np.base_repr(10, base=16)\n 'A'\n >>> np.base_repr(32, base=16)\n '20'\n\n \"\"\"\n digits = '0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZ'\n if base > len(digits):\n raise ValueError(\"Bases greater than 36 not handled in base_repr.\")\n elif base < 2:\n raise ValueError(\"Bases less than 2 not handled in base_repr.\")\n\n num = abs(int(number))\n res = []\n while num:\n res.append(digits[num % base])\n num //= base\n if padding:\n res.append('0' * padding)\n if number < 0:\n res.append('-')\n return ''.join(reversed(res or '0'))\n\n\n# These are all essentially abbreviations\n# These might wind up in a special abbreviations module\n\n\ndef _maketup(descr, val):\n dt = dtype(descr)\n # Place val in all scalar tuples:\n fields = dt.fields\n if fields is None:\n return val\n else:\n res = [_maketup(fields[name][0], val) for name in dt.names]\n return tuple(res)\n\n\n@finalize_array_function_like\n@set_module('numpy')\ndef identity(n, dtype=None, *, like=None):\n \"\"\"\n Return the identity array.\n\n The identity array is a square array with ones on\n the main diagonal.\n\n Parameters\n ----------\n n : int\n Number of rows (and columns) in `n` x `n` output.\n dtype : data-type, optional\n Data-type of the output. Defaults to ``float``.\n ${ARRAY_FUNCTION_LIKE}\n\n .. versionadded:: 1.20.0\n\n Returns\n -------\n out : ndarray\n `n` x `n` array with its main diagonal set to one,\n and all other elements 0.\n\n Examples\n --------\n >>> import numpy as np\n >>> np.identity(3)\n array([[1., 0., 0.],\n [0., 1., 0.],\n [0., 0., 1.]])\n\n \"\"\"\n if like is not None:\n return _identity_with_like(like, n, dtype=dtype)\n\n from numpy import eye\n return eye(n, dtype=dtype, like=like)\n\n\n_identity_with_like = array_function_dispatch()(identity)\n\n\ndef _allclose_dispatcher(a, b, rtol=None, atol=None, equal_nan=None):\n return (a, b, rtol, atol)\n\n\n@array_function_dispatch(_allclose_dispatcher)\ndef allclose(a, b, rtol=1.e-5, atol=1.e-8, equal_nan=False):\n \"\"\"\n Returns True if two arrays are element-wise equal within a tolerance.\n\n The tolerance values are positive, typically very small numbers. The\n relative difference (`rtol` * abs(`b`)) and the absolute difference\n `atol` are added together to compare against the absolute difference\n between `a` and `b`.\n\n .. warning:: The default `atol` is not appropriate for comparing numbers\n with magnitudes much smaller than one (see Notes).\n\n NaNs are treated as equal if they are in the same place and if\n ``equal_nan=True``. Infs are treated as equal if they are in the same\n place and of the same sign in both arrays.\n\n Parameters\n ----------\n a, b : array_like\n Input arrays to compare.\n rtol : array_like\n The relative tolerance parameter (see Notes).\n atol : array_like\n The absolute tolerance parameter (see Notes).\n equal_nan : bool\n Whether to compare NaN's as equal. If True, NaN's in `a` will be\n considered equal to NaN's in `b` in the output array.\n\n Returns\n -------\n allclose : bool\n Returns True if the two arrays are equal within the given\n tolerance; False otherwise.\n\n See Also\n --------\n isclose, all, any, equal\n\n Notes\n -----\n If the following equation is element-wise True, then allclose returns\n True.::\n\n absolute(a - b) <= (atol + rtol * absolute(b))\n\n The above equation is not symmetric in `a` and `b`, so that\n ``allclose(a, b)`` might be different from ``allclose(b, a)`` in\n some rare cases.\n\n The default value of `atol` is not appropriate when the reference value\n `b` has magnitude smaller than one. For example, it is unlikely that\n ``a = 1e-9`` and ``b = 2e-9`` should be considered \"close\", yet\n ``allclose(1e-9, 2e-9)`` is ``True`` with default settings. Be sure\n to select `atol` for the use case at hand, especially for defining the\n threshold below which a non-zero value in `a` will be considered \"close\"\n to a very small or zero value in `b`.\n\n The comparison of `a` and `b` uses standard broadcasting, which\n means that `a` and `b` need not have the same shape in order for\n ``allclose(a, b)`` to evaluate to True. The same is true for\n `equal` but not `array_equal`.\n\n `allclose` is not defined for non-numeric data types.\n `bool` is considered a numeric data-type for this purpose.\n\n Examples\n --------\n >>> import numpy as np\n >>> np.allclose([1e10,1e-7], [1.00001e10,1e-8])\n False\n\n >>> np.allclose([1e10,1e-8], [1.00001e10,1e-9])\n True\n\n >>> np.allclose([1e10,1e-8], [1.0001e10,1e-9])\n False\n\n >>> np.allclose([1.0, np.nan], [1.0, np.nan])\n False\n\n >>> np.allclose([1.0, np.nan], [1.0, np.nan], equal_nan=True)\n True\n\n\n \"\"\"\n res = all(isclose(a, b, rtol=rtol, atol=atol, equal_nan=equal_nan))\n return builtins.bool(res)\n\n\ndef _isclose_dispatcher(a, b, rtol=None, atol=None, equal_nan=None):\n return (a, b, rtol, atol)\n\n\n@array_function_dispatch(_isclose_dispatcher)\ndef isclose(a, b, rtol=1.e-5, atol=1.e-8, equal_nan=False):\n \"\"\"\n Returns a boolean array where two arrays are element-wise equal within a\n tolerance.\n\n The tolerance values are positive, typically very small numbers. The\n relative difference (`rtol` * abs(`b`)) and the absolute difference\n `atol` are added together to compare against the absolute difference\n between `a` and `b`.\n\n .. warning:: The default `atol` is not appropriate for comparing numbers\n with magnitudes much smaller than one (see Notes).\n\n Parameters\n ----------\n a, b : array_like\n Input arrays to compare.\n rtol : array_like\n The relative tolerance parameter (see Notes).\n atol : array_like\n The absolute tolerance parameter (see Notes).\n equal_nan : bool\n Whether to compare NaN's as equal. If True, NaN's in `a` will be\n considered equal to NaN's in `b` in the output array.\n\n Returns\n -------\n y : array_like\n Returns a boolean array of where `a` and `b` are equal within the\n given tolerance. If both `a` and `b` are scalars, returns a single\n boolean value.\n\n See Also\n --------\n allclose\n math.isclose\n\n Notes\n -----\n For finite values, isclose uses the following equation to test whether\n two floating point values are equivalent.::\n\n absolute(a - b) <= (atol + rtol * absolute(b))\n\n Unlike the built-in `math.isclose`, the above equation is not symmetric\n in `a` and `b` -- it assumes `b` is the reference value -- so that\n `isclose(a, b)` might be different from `isclose(b, a)`.\n\n The default value of `atol` is not appropriate when the reference value\n `b` has magnitude smaller than one. For example, it is unlikely that\n ``a = 1e-9`` and ``b = 2e-9`` should be considered \"close\", yet\n ``isclose(1e-9, 2e-9)`` is ``True`` with default settings. Be sure\n to select `atol` for the use case at hand, especially for defining the\n threshold below which a non-zero value in `a` will be considered \"close\"\n to a very small or zero value in `b`.\n\n `isclose` is not defined for non-numeric data types.\n :class:`bool` is considered a numeric data-type for this purpose.\n\n Examples\n --------\n >>> import numpy as np\n >>> np.isclose([1e10,1e-7], [1.00001e10,1e-8])\n array([ True, False])\n\n >>> np.isclose([1e10,1e-8], [1.00001e10,1e-9])\n array([ True, True])\n\n >>> np.isclose([1e10,1e-8], [1.0001e10,1e-9])\n array([False, True])\n\n >>> np.isclose([1.0, np.nan], [1.0, np.nan])\n array([ True, False])\n\n >>> np.isclose([1.0, np.nan], [1.0, np.nan], equal_nan=True)\n array([ True, True])\n\n >>> np.isclose([1e-8, 1e-7], [0.0, 0.0])\n array([ True, False])\n\n >>> np.isclose([1e-100, 1e-7], [0.0, 0.0], atol=0.0)\n array([False, False])\n\n >>> np.isclose([1e-10, 1e-10], [1e-20, 0.0])\n array([ True, True])\n\n >>> np.isclose([1e-10, 1e-10], [1e-20, 0.999999e-10], atol=0.0)\n array([False, True])\n\n \"\"\"\n # Turn all but python scalars into arrays.\n x, y, atol, rtol = (\n a if isinstance(a, (int, float, complex)) else asanyarray(a)\n for a in (a, b, atol, rtol))\n\n # Make sure y is an inexact type to avoid bad behavior on abs(MIN_INT).\n # This will cause casting of x later. Also, make sure to allow subclasses\n # (e.g., for numpy.ma).\n # NOTE: We explicitly allow timedelta, which used to work. This could\n # possibly be deprecated. See also gh-18286.\n # timedelta works if `atol` is an integer or also a timedelta.\n # Although, the default tolerances are unlikely to be useful\n if (dtype := getattr(y, \"dtype\", None)) is not None and dtype.kind != \"m\":\n dt = multiarray.result_type(y, 1.)\n y = asanyarray(y, dtype=dt)\n elif isinstance(y, int):\n y = float(y)\n\n # atol and rtol can be arrays\n if not (np.all(np.isfinite(atol)) and np.all(np.isfinite(rtol))):\n err_s = np.geterr()[\"invalid\"]\n err_msg = f\"One of rtol or atol is not valid, atol: {atol}, rtol: {rtol}\"\n\n if err_s == \"warn\":\n warnings.warn(err_msg, RuntimeWarning, stacklevel=2)\n elif err_s == \"raise\":\n raise FloatingPointError(err_msg)\n elif err_s == \"print\":\n print(err_msg)\n\n with errstate(invalid='ignore'):\n\n result = (less_equal(abs(x - y), atol + rtol * abs(y))\n & isfinite(y)\n | (x == y))\n if equal_nan:\n result |= isnan(x) & isnan(y)\n\n return result[()] # Flatten 0d arrays to scalars\n\n\ndef _array_equal_dispatcher(a1, a2, equal_nan=None):\n return (a1, a2)\n\n\n_no_nan_types = {\n # should use np.dtype.BoolDType, but as of writing\n # that fails the reloading test.\n type(dtype(nt.bool)),\n type(dtype(nt.int8)),\n type(dtype(nt.int16)),\n type(dtype(nt.int32)),\n type(dtype(nt.int64)),\n}\n\n\ndef _dtype_cannot_hold_nan(dtype):\n return type(dtype) in _no_nan_types\n\n\n@array_function_dispatch(_array_equal_dispatcher)\ndef array_equal(a1, a2, equal_nan=False):\n \"\"\"\n True if two arrays have the same shape and elements, False otherwise.\n\n Parameters\n ----------\n a1, a2 : array_like\n Input arrays.\n equal_nan : bool\n Whether to compare NaN's as equal. If the dtype of a1 and a2 is\n complex, values will be considered equal if either the real or the\n imaginary component of a given value is ``nan``.\n\n Returns\n -------\n b : bool\n Returns True if the arrays are equal.\n\n See Also\n --------\n allclose: Returns True if two arrays are element-wise equal within a\n tolerance.\n array_equiv: Returns True if input arrays are shape consistent and all\n elements equal.\n\n Examples\n --------\n >>> import numpy as np\n\n >>> np.array_equal([1, 2], [1, 2])\n True\n\n >>> np.array_equal(np.array([1, 2]), np.array([1, 2]))\n True\n\n >>> np.array_equal([1, 2], [1, 2, 3])\n False\n\n >>> np.array_equal([1, 2], [1, 4])\n False\n\n >>> a = np.array([1, np.nan])\n >>> np.array_equal(a, a)\n False\n\n >>> np.array_equal(a, a, equal_nan=True)\n True\n\n When ``equal_nan`` is True, complex values with nan components are\n considered equal if either the real *or* the imaginary components are nan.\n\n >>> a = np.array([1 + 1j])\n >>> b = a.copy()\n >>> a.real = np.nan\n >>> b.imag = np.nan\n >>> np.array_equal(a, b, equal_nan=True)\n True\n \"\"\"\n try:\n a1, a2 = asarray(a1), asarray(a2)\n except Exception:\n return False\n if a1.shape != a2.shape:\n return False\n if not equal_nan:\n return builtins.bool((asanyarray(a1 == a2)).all())\n\n if a1 is a2:\n # nan will compare equal so an array will compare equal to itself.\n return True\n\n cannot_have_nan = (_dtype_cannot_hold_nan(a1.dtype)\n and _dtype_cannot_hold_nan(a2.dtype))\n if cannot_have_nan:\n return builtins.bool(asarray(a1 == a2).all())\n\n # Handling NaN values if equal_nan is True\n a1nan, a2nan = isnan(a1), isnan(a2)\n # NaN's occur at different locations\n if not (a1nan == a2nan).all():\n return False\n # Shapes of a1, a2 and masks are guaranteed to be consistent by this point\n return builtins.bool((a1[~a1nan] == a2[~a1nan]).all())\n\n\ndef _array_equiv_dispatcher(a1, a2):\n return (a1, a2)\n\n\n@array_function_dispatch(_array_equiv_dispatcher)\ndef array_equiv(a1, a2):\n \"\"\"\n Returns True if input arrays are shape consistent and all elements equal.\n\n Shape consistent means they are either the same shape, or one input array\n can be broadcasted to create the same shape as the other one.\n\n Parameters\n ----------\n a1, a2 : array_like\n Input arrays.\n\n Returns\n -------\n out : bool\n True if equivalent, False otherwise.\n\n Examples\n --------\n >>> import numpy as np\n >>> np.array_equiv([1, 2], [1, 2])\n True\n >>> np.array_equiv([1, 2], [1, 3])\n False\n\n Showing the shape equivalence:\n\n >>> np.array_equiv([1, 2], [[1, 2], [1, 2]])\n True\n >>> np.array_equiv([1, 2], [[1, 2, 1, 2], [1, 2, 1, 2]])\n False\n\n >>> np.array_equiv([1, 2], [[1, 2], [1, 3]])\n False\n\n \"\"\"\n try:\n a1, a2 = asarray(a1), asarray(a2)\n except Exception:\n return False\n try:\n multiarray.broadcast(a1, a2)\n except Exception:\n return False\n\n return builtins.bool(asanyarray(a1 == a2).all())\n\n\ndef _astype_dispatcher(x, dtype, /, *, copy=None, device=None):\n return (x, dtype)\n\n\n@array_function_dispatch(_astype_dispatcher)\ndef astype(x, dtype, /, *, copy=True, device=None):\n \"\"\"\n Copies an array to a specified data type.\n\n This function is an Array API compatible alternative to\n `numpy.ndarray.astype`.\n\n Parameters\n ----------\n x : ndarray\n Input NumPy array to cast. ``array_likes`` are explicitly not\n supported here.\n dtype : dtype\n Data type of the result.\n copy : bool, optional\n Specifies whether to copy an array when the specified dtype matches\n the data type of the input array ``x``. If ``True``, a newly allocated\n array must always be returned. If ``False`` and the specified dtype\n matches the data type of the input array, the input array must be\n returned; otherwise, a newly allocated array must be returned.\n Defaults to ``True``.\n device : str, optional\n The device on which to place the returned array. Default: None.\n For Array-API interoperability only, so must be ``\"cpu\"`` if passed.\n\n .. versionadded:: 2.1.0\n\n Returns\n -------\n out : ndarray\n An array having the specified data type.\n\n See Also\n --------\n ndarray.astype\n\n Examples\n --------\n >>> import numpy as np\n >>> arr = np.array([1, 2, 3]); arr\n array([1, 2, 3])\n >>> np.astype(arr, np.float64)\n array([1., 2., 3.])\n\n Non-copy case:\n\n >>> arr = np.array([1, 2, 3])\n >>> arr_noncpy = np.astype(arr, arr.dtype, copy=False)\n >>> np.shares_memory(arr, arr_noncpy)\n True\n\n \"\"\"\n if not (isinstance(x, np.ndarray) or isscalar(x)):\n raise TypeError(\n \"Input should be a NumPy array or scalar. \"\n f\"It is a {type(x)} instead.\"\n )\n if device is not None and device != \"cpu\":\n raise ValueError(\n 'Device not understood. Only \"cpu\" is allowed, but received:'\n f' {device}'\n )\n return x.astype(dtype, copy=copy)\n\n\ninf = PINF\nnan = NAN\nFalse_ = nt.bool(False)\nTrue_ = nt.bool(True)\n\n\ndef extend_all(module):\n existing = set(__all__)\n mall = module.__all__\n for a in mall:\n if a not in existing:\n __all__.append(a)\n\n\nfrom . import _asarray, _ufunc_config, arrayprint, fromnumeric\nfrom ._asarray import *\nfrom ._ufunc_config import *\nfrom .arrayprint import *\nfrom .fromnumeric import *\nfrom .numerictypes import *\nfrom .umath import *\n\nextend_all(fromnumeric)\nextend_all(umath)\nextend_all(numerictypes)\nextend_all(arrayprint)\nextend_all(_asarray)\nextend_all(_ufunc_config)\n", 2758], "/home/gaogaotiantian/programs/viztracer/venv/lib/python3.12/site-packages/numpy/_core/multiarray.py": ["\"\"\"\nCreate the numpy._core.multiarray namespace for backward compatibility.\nIn v1.16 the multiarray and umath c-extension modules were merged into\na single _multiarray_umath extension module. So we replicate the old\nnamespace by importing from the extension module.\n\n\"\"\"\n\nimport functools\n\nfrom . import _multiarray_umath, overrides\nfrom ._multiarray_umath import * # noqa: F403\n\n# These imports are needed for backward compatibility,\n# do not change them. issue gh-15518\n# _get_ndarray_c_version is semi-public, on purpose not added to __all__\nfrom ._multiarray_umath import ( # noqa: F401\n _ARRAY_API,\n _flagdict,\n _get_madvise_hugepage,\n _get_ndarray_c_version,\n _monotonicity,\n _place,\n _reconstruct,\n _set_madvise_hugepage,\n _vec_string,\n from_dlpack,\n)\n\n__all__ = [\n '_ARRAY_API', 'ALLOW_THREADS', 'BUFSIZE', 'CLIP', 'DATETIMEUNITS',\n 'ITEM_HASOBJECT', 'ITEM_IS_POINTER', 'LIST_PICKLE', 'MAXDIMS',\n 'MAY_SHARE_BOUNDS', 'MAY_SHARE_EXACT', 'NEEDS_INIT', 'NEEDS_PYAPI',\n 'RAISE', 'USE_GETITEM', 'USE_SETITEM', 'WRAP',\n '_flagdict', 'from_dlpack', '_place', '_reconstruct', '_vec_string',\n '_monotonicity', 'add_docstring', 'arange', 'array', 'asarray',\n 'asanyarray', 'ascontiguousarray', 'asfortranarray', 'bincount',\n 'broadcast', 'busday_count', 'busday_offset', 'busdaycalendar', 'can_cast',\n 'compare_chararrays', 'concatenate', 'copyto', 'correlate', 'correlate2',\n 'count_nonzero', 'c_einsum', 'datetime_as_string', 'datetime_data',\n 'dot', 'dragon4_positional', 'dragon4_scientific', 'dtype',\n 'empty', 'empty_like', 'error', 'flagsobj', 'flatiter', 'format_longfloat',\n 'frombuffer', 'fromfile', 'fromiter', 'fromstring',\n 'get_handler_name', 'get_handler_version', 'inner', 'interp',\n 'interp_complex', 'is_busday', 'lexsort', 'matmul', 'vecdot',\n 'may_share_memory', 'min_scalar_type', 'ndarray', 'nditer', 'nested_iters',\n 'normalize_axis_index', 'packbits', 'promote_types', 'putmask',\n 'ravel_multi_index', 'result_type', 'scalar', 'set_datetimeparse_function',\n 'set_typeDict', 'shares_memory', 'typeinfo',\n 'unpackbits', 'unravel_index', 'vdot', 'where', 'zeros']\n\n# For backward compatibility, make sure pickle imports\n# these functions from here\n_reconstruct.__module__ = 'numpy._core.multiarray'\nscalar.__module__ = 'numpy._core.multiarray'\n\n\nfrom_dlpack.__module__ = 'numpy'\narange.__module__ = 'numpy'\narray.__module__ = 'numpy'\nasarray.__module__ = 'numpy'\nasanyarray.__module__ = 'numpy'\nascontiguousarray.__module__ = 'numpy'\nasfortranarray.__module__ = 'numpy'\ndatetime_data.__module__ = 'numpy'\nempty.__module__ = 'numpy'\nfrombuffer.__module__ = 'numpy'\nfromfile.__module__ = 'numpy'\nfromiter.__module__ = 'numpy'\nfrompyfunc.__module__ = 'numpy'\nfromstring.__module__ = 'numpy'\nmay_share_memory.__module__ = 'numpy'\nnested_iters.__module__ = 'numpy'\npromote_types.__module__ = 'numpy'\nzeros.__module__ = 'numpy'\nnormalize_axis_index.__module__ = 'numpy.lib.array_utils'\nadd_docstring.__module__ = 'numpy.lib'\ncompare_chararrays.__module__ = 'numpy.char'\n\n\ndef _override___module__():\n namespace_names = globals()\n for ufunc_name in [\n 'absolute', 'arccos', 'arccosh', 'add', 'arcsin', 'arcsinh', 'arctan',\n 'arctan2', 'arctanh', 'bitwise_and', 'bitwise_count', 'invert',\n 'left_shift', 'bitwise_or', 'right_shift', 'bitwise_xor', 'cbrt',\n 'ceil', 'conjugate', 'copysign', 'cos', 'cosh', 'deg2rad', 'degrees',\n 'divide', 'divmod', 'equal', 'exp', 'exp2', 'expm1', 'fabs',\n 'float_power', 'floor', 'floor_divide', 'fmax', 'fmin', 'fmod',\n 'frexp', 'gcd', 'greater', 'greater_equal', 'heaviside', 'hypot',\n 'isfinite', 'isinf', 'isnan', 'isnat', 'lcm', 'ldexp', 'less',\n 'less_equal', 'log', 'log10', 'log1p', 'log2', 'logaddexp',\n 'logaddexp2', 'logical_and', 'logical_not', 'logical_or',\n 'logical_xor', 'matmul', 'matvec', 'maximum', 'minimum', 'remainder',\n 'modf', 'multiply', 'negative', 'nextafter', 'not_equal', 'positive',\n 'power', 'rad2deg', 'radians', 'reciprocal', 'rint', 'sign', 'signbit',\n 'sin', 'sinh', 'spacing', 'sqrt', 'square', 'subtract', 'tan', 'tanh',\n 'trunc', 'vecdot', 'vecmat',\n ]:\n ufunc = namespace_names[ufunc_name]\n ufunc.__module__ = \"numpy\"\n ufunc.__qualname__ = ufunc_name\n\n\n_override___module__()\n\n\n# We can't verify dispatcher signatures because NumPy's C functions don't\n# support introspection.\narray_function_from_c_func_and_dispatcher = functools.partial(\n overrides.array_function_from_dispatcher,\n module='numpy', docs_from_dispatcher=True, verify=False)\n\n\n@array_function_from_c_func_and_dispatcher(_multiarray_umath.empty_like)\ndef empty_like(\n prototype, dtype=None, order=\"K\", subok=True, shape=None, *, device=None\n):\n \"\"\"\n empty_like(\n prototype,\n /,\n dtype=None,\n order='K',\n subok=True,\n shape=None,\n *,\n device=None,\n )\n --\n\n Return a new array with the same shape and type as a given array.\n\n Parameters\n ----------\n prototype : array_like\n The shape and data-type of `prototype` define these same attributes\n of the returned array.\n dtype : data-type, optional\n Overrides the data type of the result.\n order : {'C', 'F', 'A', or 'K'}, optional\n Overrides the memory layout of the result. 'C' means C-order,\n 'F' means F-order, 'A' means 'F' if `prototype` is Fortran\n contiguous, 'C' otherwise. 'K' means match the layout of `prototype`\n as closely as possible.\n subok : bool, optional.\n If True, then the newly created array will use the sub-class\n type of `prototype`, otherwise it will be a base-class array. Defaults\n to True.\n shape : int or sequence of ints, optional.\n Overrides the shape of the result. If order='K' and the number of\n dimensions is unchanged, will try to keep order, otherwise,\n order='C' is implied.\n device : str, optional\n The device on which to place the created array. Default: None.\n For Array-API interoperability only, so must be ``\"cpu\"`` if passed.\n\n .. versionadded:: 2.0.0\n\n Returns\n -------\n out : ndarray\n Array of uninitialized (arbitrary) data with the same\n shape and type as `prototype`.\n\n See Also\n --------\n ones_like : Return an array of ones with shape and type of input.\n zeros_like : Return an array of zeros with shape and type of input.\n full_like : Return a new array with shape of input filled with value.\n empty : Return a new uninitialized array.\n\n Notes\n -----\n Unlike other array creation functions (e.g. `zeros_like`, `ones_like`,\n `full_like`), `empty_like` does not initialize the values of the array,\n and may therefore be marginally faster. However, the values stored in the\n newly allocated array are arbitrary. For reproducible behavior, be sure\n to set each element of the array before reading.\n\n Examples\n --------\n >>> import numpy as np\n >>> a = ([1,2,3], [4,5,6]) # a is array-like\n >>> np.empty_like(a)\n array([[-1073741821, -1073741821, 3], # uninitialized\n [ 0, 0, -1073741821]])\n >>> a = np.array([[1., 2., 3.],[4.,5.,6.]])\n >>> np.empty_like(a)\n array([[ -2.00000715e+000, 1.48219694e-323, -2.00000572e+000], # uninitialized\n [ 4.38791518e-305, -2.00000715e+000, 4.17269252e-309]])\n\n \"\"\"\n return (prototype,)\n\n\n@array_function_from_c_func_and_dispatcher(_multiarray_umath.concatenate)\ndef concatenate(arrays, axis=0, out=None, *, dtype=None, casting=\"same_kind\"):\n \"\"\"\n concatenate(\n arrays,\n /,\n axis=0,\n out=None,\n *,\n dtype=None,\n casting=\"same_kind\",\n )\n --\n\n Join a sequence of arrays along an existing axis.\n\n Parameters\n ----------\n a1, a2, ... : sequence of array_like\n The arrays must have the same shape, except in the dimension\n corresponding to `axis` (the first, by default).\n axis : int, optional\n The axis along which the arrays will be joined. If axis is None,\n arrays are flattened before use. Default is 0.\n out : ndarray, optional\n If provided, the destination to place the result. The shape must be\n correct, matching that of what concatenate would have returned if no\n out argument were specified.\n dtype : str or dtype\n If provided, the destination array will have this dtype. Cannot be\n provided together with `out`.\n\n .. versionadded:: 1.20.0\n\n casting : {'no', 'equiv', 'safe', 'same_kind', 'unsafe'}, optional\n Controls what kind of data casting may occur. Defaults to 'same_kind'.\n For a description of the options, please see :term:`casting`.\n\n .. versionadded:: 1.20.0\n\n Returns\n -------\n res : ndarray\n The concatenated array.\n\n See Also\n --------\n ma.concatenate : Concatenate function that preserves input masks.\n array_split : Split an array into multiple sub-arrays of equal or\n near-equal size.\n split : Split array into a list of multiple sub-arrays of equal size.\n hsplit : Split array into multiple sub-arrays horizontally (column wise).\n vsplit : Split array into multiple sub-arrays vertically (row wise).\n dsplit : Split array into multiple sub-arrays along the 3rd axis (depth).\n stack : Stack a sequence of arrays along a new axis.\n block : Assemble arrays from blocks.\n hstack : Stack arrays in sequence horizontally (column wise).\n vstack : Stack arrays in sequence vertically (row wise).\n dstack : Stack arrays in sequence depth wise (along third dimension).\n column_stack : Stack 1-D arrays as columns into a 2-D array.\n\n Notes\n -----\n When one or more of the arrays to be concatenated is a MaskedArray,\n this function will return a MaskedArray object instead of an ndarray,\n but the input masks are *not* preserved. In cases where a MaskedArray\n is expected as input, use the ma.concatenate function from the masked\n array module instead.\n\n Examples\n --------\n >>> import numpy as np\n >>> a = np.array([[1, 2], [3, 4]])\n >>> b = np.array([[5, 6]])\n >>> np.concatenate((a, b), axis=0)\n array([[1, 2],\n [3, 4],\n [5, 6]])\n >>> np.concatenate((a, b.T), axis=1)\n array([[1, 2, 5],\n [3, 4, 6]])\n >>> np.concatenate((a, b), axis=None)\n array([1, 2, 3, 4, 5, 6])\n\n This function will not preserve masking of MaskedArray inputs.\n\n >>> a = np.ma.arange(3)\n >>> a[1] = np.ma.masked\n >>> b = np.arange(2, 5)\n >>> a\n masked_array(data=[0, --, 2],\n mask=[False, True, False],\n fill_value=999999)\n >>> b\n array([2, 3, 4])\n >>> np.concatenate([a, b])\n masked_array(data=[0, 1, 2, 2, 3, 4],\n mask=False,\n fill_value=999999)\n >>> np.ma.concatenate([a, b])\n masked_array(data=[0, --, 2, 2, 3, 4],\n mask=[False, True, False, False, False, False],\n fill_value=999999)\n\n \"\"\"\n if out is not None:\n # optimize for the typical case where only arrays is provided\n arrays = list(arrays)\n arrays.append(out)\n return arrays\n\n\n@array_function_from_c_func_and_dispatcher(_multiarray_umath.inner)\ndef inner(a, b, /):\n \"\"\"\n inner(a, b, /)\n\n Inner product of two arrays.\n\n Ordinary inner product of vectors for 1-D arrays (without complex\n conjugation), in higher dimensions a sum product over the last axes.\n\n Parameters\n ----------\n a, b : array_like\n If `a` and `b` are nonscalar, their last dimensions must match.\n\n Returns\n -------\n out : ndarray\n If `a` and `b` are both\n scalars or both 1-D arrays then a scalar is returned; otherwise\n an array is returned.\n ``out.shape = (*a.shape[:-1], *b.shape[:-1])``\n\n Raises\n ------\n ValueError\n If both `a` and `b` are nonscalar and their last dimensions have\n different sizes.\n\n See Also\n --------\n tensordot : Sum products over arbitrary axes.\n dot : Generalised matrix product, using second last dimension of `b`.\n vecdot : Vector dot product of two arrays.\n einsum : Einstein summation convention.\n\n Notes\n -----\n For vectors (1-D arrays) it computes the ordinary inner-product::\n\n np.inner(a, b) = sum(a[:]*b[:])\n\n More generally, if ``ndim(a) = r > 0`` and ``ndim(b) = s > 0``::\n\n np.inner(a, b) = np.tensordot(a, b, axes=(-1,-1))\n\n or explicitly::\n\n np.inner(a, b)[i0,...,ir-2,j0,...,js-2]\n = sum(a[i0,...,ir-2,:]*b[j0,...,js-2,:])\n\n In addition `a` or `b` may be scalars, in which case::\n\n np.inner(a,b) = a*b\n\n Examples\n --------\n Ordinary inner product for vectors:\n\n >>> import numpy as np\n >>> a = np.array([1,2,3])\n >>> b = np.array([0,1,0])\n >>> np.inner(a, b)\n 2\n\n Some multidimensional examples:\n\n >>> a = np.arange(24).reshape((2,3,4))\n >>> b = np.arange(4)\n >>> c = np.inner(a, b)\n >>> c.shape\n (2, 3)\n >>> c\n array([[ 14, 38, 62],\n [ 86, 110, 134]])\n\n >>> a = np.arange(2).reshape((1,1,2))\n >>> b = np.arange(6).reshape((3,2))\n >>> c = np.inner(a, b)\n >>> c.shape\n (1, 1, 3)\n >>> c\n array([[[1, 3, 5]]])\n\n An example where `b` is a scalar:\n\n >>> np.inner(np.eye(2), 7)\n array([[7., 0.],\n [0., 7.]])\n\n \"\"\"\n return (a, b)\n\n\n@array_function_from_c_func_and_dispatcher(_multiarray_umath.where)\ndef where(condition, x=None, y=None, /):\n \"\"\"\n where(condition, [x, y], /)\n\n Return elements chosen from `x` or `y` depending on `condition`.\n\n .. note::\n When only `condition` is provided, this function is a shorthand for\n ``np.asarray(condition).nonzero()``. Using `nonzero` directly should be\n preferred, as it behaves correctly for subclasses. The rest of this\n documentation covers only the case where all three arguments are\n provided.\n\n Parameters\n ----------\n condition : array_like, bool\n Where True, yield `x`, otherwise yield `y`.\n x, y : array_like\n Values from which to choose. `x`, `y` and `condition` need to be\n broadcastable to some shape.\n\n Returns\n -------\n out : ndarray\n An array with elements from `x` where `condition` is True, and elements\n from `y` elsewhere.\n\n See Also\n --------\n choose\n nonzero : The function that is called when x and y are omitted\n\n Notes\n -----\n If all the arrays are 1-D, `where` is equivalent to::\n\n [xv if c else yv\n for c, xv, yv in zip(condition, x, y)]\n\n Examples\n --------\n >>> import numpy as np\n >>> a = np.arange(10)\n >>> a\n array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])\n >>> np.where(a < 5, a, 10*a)\n array([ 0, 1, 2, 3, 4, 50, 60, 70, 80, 90])\n\n This can be used on multidimensional arrays too:\n\n >>> np.where([[True, False], [True, True]],\n ... [[1, 2], [3, 4]],\n ... [[9, 8], [7, 6]])\n array([[1, 8],\n [3, 4]])\n\n The shapes of x, y, and the condition are broadcast together:\n\n >>> x, y = np.ogrid[:3, :4]\n >>> np.where(x < y, x, 10 + y) # both x and 10+y are broadcast\n array([[10, 0, 0, 0],\n [10, 11, 1, 1],\n [10, 11, 12, 2]])\n\n >>> a = np.array([[0, 1, 2],\n ... [0, 2, 4],\n ... [0, 3, 6]])\n >>> np.where(a < 4, a, -1) # -1 is broadcast\n array([[ 0, 1, 2],\n [ 0, 2, -1],\n [ 0, 3, -1]])\n \"\"\"\n return (condition, x, y)\n\n\n@array_function_from_c_func_and_dispatcher(_multiarray_umath.lexsort)\ndef lexsort(keys, axis=-1):\n \"\"\"\n lexsort(keys, axis=-1)\n\n Perform an indirect stable sort using a sequence of keys.\n\n Given multiple sorting keys, lexsort returns an array of integer indices\n that describes the sort order by multiple keys. The last key in the\n sequence is used for the primary sort order, ties are broken by the\n second-to-last key, and so on.\n\n Parameters\n ----------\n keys : (k, m, n, ...) array-like\n The `k` keys to be sorted. The *last* key (e.g, the last\n row if `keys` is a 2D array) is the primary sort key.\n Each element of `keys` along the zeroth axis must be\n an array-like object of the same shape.\n axis : int, optional\n Axis to be indirectly sorted. By default, sort over the last axis\n of each sequence. Separate slices along `axis` sorted over\n independently; see last example.\n\n Returns\n -------\n indices : (m, n, ...) ndarray of ints\n Array of indices that sort the keys along the specified axis.\n\n See Also\n --------\n argsort : Indirect sort.\n ndarray.sort : In-place sort.\n sort : Return a sorted copy of an array.\n\n Examples\n --------\n Sort names: first by surname, then by name.\n\n >>> import numpy as np\n >>> surnames = ('Hertz', 'Galilei', 'Hertz')\n >>> first_names = ('Heinrich', 'Galileo', 'Gustav')\n >>> ind = np.lexsort((first_names, surnames))\n >>> ind\n array([1, 2, 0])\n\n >>> [surnames[i] + \", \" + first_names[i] for i in ind]\n ['Galilei, Galileo', 'Hertz, Gustav', 'Hertz, Heinrich']\n\n Sort according to two numerical keys, first by elements\n of ``a``, then breaking ties according to elements of ``b``:\n\n >>> a = [1, 5, 1, 4, 3, 4, 4] # First sequence\n >>> b = [9, 4, 0, 4, 0, 2, 1] # Second sequence\n >>> ind = np.lexsort((b, a)) # Sort by `a`, then by `b`\n >>> ind\n array([2, 0, 4, 6, 5, 3, 1])\n >>> [(a[i], b[i]) for i in ind]\n [(1, 0), (1, 9), (3, 0), (4, 1), (4, 2), (4, 4), (5, 4)]\n\n Compare against `argsort`, which would sort each key independently.\n\n >>> np.argsort((b, a), kind='stable')\n array([[2, 4, 6, 5, 1, 3, 0],\n [0, 2, 4, 3, 5, 6, 1]])\n\n To sort lexicographically with `argsort`, we would need to provide a\n structured array.\n\n >>> x = np.array([(ai, bi) for ai, bi in zip(a, b)],\n ... dtype = np.dtype([('x', int), ('y', int)]))\n >>> np.argsort(x) # or np.argsort(x, order=('x', 'y'))\n array([2, 0, 4, 6, 5, 3, 1])\n\n The zeroth axis of `keys` always corresponds with the sequence of keys,\n so 2D arrays are treated just like other sequences of keys.\n\n >>> arr = np.asarray([b, a])\n >>> ind2 = np.lexsort(arr)\n >>> np.testing.assert_equal(ind2, ind)\n\n Accordingly, the `axis` parameter refers to an axis of *each* key, not of\n the `keys` argument itself. For instance, the array ``arr`` is treated as\n a sequence of two 1-D keys, so specifying ``axis=0`` is equivalent to\n using the default axis, ``axis=-1``.\n\n >>> np.testing.assert_equal(np.lexsort(arr, axis=0),\n ... np.lexsort(arr, axis=-1))\n\n For higher-dimensional arrays, the axis parameter begins to matter. The\n resulting array has the same shape as each key, and the values are what\n we would expect if `lexsort` were performed on corresponding slices\n of the keys independently. For instance,\n\n >>> x = [[1, 2, 3, 4],\n ... [4, 3, 2, 1],\n ... [2, 1, 4, 3]]\n >>> y = [[2, 2, 1, 1],\n ... [1, 2, 1, 2],\n ... [1, 1, 2, 1]]\n >>> np.lexsort((x, y), axis=1)\n array([[2, 3, 0, 1],\n [2, 0, 3, 1],\n [1, 0, 3, 2]])\n\n Each row of the result is what we would expect if we were to perform\n `lexsort` on the corresponding row of the keys:\n\n >>> for i in range(3):\n ... print(np.lexsort((x[i], y[i])))\n [2 3 0 1]\n [2 0 3 1]\n [1 0 3 2]\n\n \"\"\"\n if isinstance(keys, tuple):\n return keys\n else:\n return (keys,)\n\n\n@array_function_from_c_func_and_dispatcher(_multiarray_umath.can_cast)\ndef can_cast(from_, to, casting=\"safe\"):\n \"\"\"\n can_cast(from_, to, casting='safe')\n\n Returns True if cast between data types can occur according to the\n casting rule.\n\n Parameters\n ----------\n from_ : dtype, dtype specifier, NumPy scalar, or array\n Data type, NumPy scalar, or array to cast from.\n to : dtype or dtype specifier\n Data type to cast to.\n casting : {'no', 'equiv', 'safe', 'same_kind', 'unsafe'}, optional\n Controls what kind of data casting may occur.\n\n * 'no' means the data types should not be cast at all.\n * 'equiv' means only byte-order changes are allowed.\n * 'safe' means only casts which can preserve values are allowed.\n * 'same_kind' means only safe casts or casts within a kind,\n like float64 to float32, are allowed.\n * 'unsafe' means any data conversions may be done.\n\n Returns\n -------\n out : bool\n True if cast can occur according to the casting rule.\n\n Notes\n -----\n .. versionchanged:: 2.0\n This function does not support Python scalars anymore and does not\n apply any value-based logic for 0-D arrays and NumPy scalars.\n\n See also\n --------\n dtype, result_type\n\n Examples\n --------\n Basic examples\n\n >>> import numpy as np\n >>> np.can_cast(np.int32, np.int64)\n True\n >>> np.can_cast(np.float64, complex)\n True\n >>> np.can_cast(complex, float)\n False\n\n >>> np.can_cast('i8', 'f8')\n True\n >>> np.can_cast('i8', 'f4')\n False\n >>> np.can_cast('i4', 'S4')\n False\n\n \"\"\"\n return (from_,)\n\n\n@array_function_from_c_func_and_dispatcher(_multiarray_umath.min_scalar_type)\ndef min_scalar_type(a, /):\n \"\"\"\n min_scalar_type(a, /)\n\n For scalar ``a``, returns the data type with the smallest size\n and smallest scalar kind which can hold its value. For non-scalar\n array ``a``, returns the vector's dtype unmodified.\n\n Floating point values are not demoted to integers,\n and complex values are not demoted to floats.\n\n Parameters\n ----------\n a : scalar or array_like\n The value whose minimal data type is to be found.\n\n Returns\n -------\n out : dtype\n The minimal data type.\n\n See Also\n --------\n result_type, promote_types, dtype, can_cast\n\n Examples\n --------\n >>> import numpy as np\n >>> np.min_scalar_type(10)\n dtype('uint8')\n\n >>> np.min_scalar_type(-260)\n dtype('int16')\n\n >>> np.min_scalar_type(3.1)\n dtype('float16')\n\n >>> np.min_scalar_type(1e50)\n dtype('float64')\n\n >>> np.min_scalar_type(np.arange(4,dtype='f8'))\n dtype('float64')\n\n \"\"\"\n return (a,)\n\n\n@array_function_from_c_func_and_dispatcher(_multiarray_umath.result_type)\ndef result_type(*arrays_and_dtypes):\n \"\"\"\n result_type(*arrays_and_dtypes)\n\n Returns the type that results from applying the NumPy\n :ref:`type promotion ` rules to the arguments.\n\n Parameters\n ----------\n arrays_and_dtypes : list of arrays and dtypes\n The operands of some operation whose result type is needed.\n\n Returns\n -------\n out : dtype\n The result type.\n\n See also\n --------\n dtype, promote_types, min_scalar_type, can_cast\n\n Examples\n --------\n >>> import numpy as np\n >>> np.result_type(3, np.arange(7, dtype='i1'))\n dtype('int8')\n\n >>> np.result_type('i4', 'c8')\n dtype('complex128')\n\n >>> np.result_type(3.0, -2)\n dtype('float64')\n\n \"\"\"\n return arrays_and_dtypes\n\n\n@array_function_from_c_func_and_dispatcher(_multiarray_umath.dot)\ndef dot(a, b, out=None):\n \"\"\"\n dot(a, b, out=None)\n\n Dot product of two arrays. Specifically,\n\n - If both `a` and `b` are 1-D arrays, it is inner product of vectors\n (without complex conjugation).\n\n - If both `a` and `b` are 2-D arrays, it is matrix multiplication,\n but using :func:`matmul` or ``a @ b`` is preferred.\n\n - If either `a` or `b` is 0-D (scalar), it is equivalent to\n :func:`multiply` and using ``numpy.multiply(a, b)`` or ``a * b`` is\n preferred.\n\n - If `a` is an N-D array and `b` is a 1-D array, it is a sum product over\n the last axis of `a` and `b`.\n\n - If `a` is an N-D array and `b` is an M-D array (where ``M>=2``), it is a\n sum product over the last axis of `a` and the second-to-last axis of\n `b`::\n\n dot(a, b)[i,j,k,m] = sum(a[i,j,:] * b[k,:,m])\n\n It uses an optimized BLAS library when possible (see `numpy.linalg`).\n\n Parameters\n ----------\n a : array_like\n First argument.\n b : array_like\n Second argument.\n out : ndarray, optional\n Output argument. This must have the exact kind that would be returned\n if it was not used. In particular, it must have the right type, must be\n C-contiguous, and its dtype must be the dtype that would be returned\n for `dot(a,b)`. This is a performance feature. Therefore, if these\n conditions are not met, an exception is raised, instead of attempting\n to be flexible.\n\n Returns\n -------\n output : ndarray\n Returns the dot product of `a` and `b`. If `a` and `b` are both\n scalars or both 1-D arrays then a scalar is returned; otherwise\n an array is returned.\n If `out` is given, then it is returned.\n\n Raises\n ------\n ValueError\n If the last dimension of `a` is not the same size as\n the second-to-last dimension of `b`.\n\n See Also\n --------\n vdot : Complex-conjugating dot product.\n vecdot : Vector dot product of two arrays.\n tensordot : Sum products over arbitrary axes.\n einsum : Einstein summation convention.\n matmul : '@' operator as method with out parameter.\n linalg.multi_dot : Chained dot product.\n\n Examples\n --------\n >>> import numpy as np\n >>> np.dot(3, 4)\n 12\n\n Neither argument is complex-conjugated:\n\n >>> np.dot([2j, 3j], [2j, 3j])\n (-13+0j)\n\n For 2-D arrays it is the matrix product:\n\n >>> a = [[1, 0], [0, 1]]\n >>> b = [[4, 1], [2, 2]]\n >>> np.dot(a, b)\n array([[4, 1],\n [2, 2]])\n\n >>> a = np.arange(3*4*5*6).reshape((3,4,5,6))\n >>> b = np.arange(3*4*5*6)[::-1].reshape((5,4,6,3))\n >>> np.dot(a, b)[2,3,2,1,2,2]\n 499128\n >>> sum(a[2,3,2,:] * b[1,2,:,2])\n 499128\n\n \"\"\"\n return (a, b, out)\n\n\n@array_function_from_c_func_and_dispatcher(_multiarray_umath.vdot)\ndef vdot(a, b, /):\n r\"\"\"\n vdot(a, b, /)\n\n Return the dot product of two vectors.\n\n The `vdot` function handles complex numbers differently than `dot`:\n if the first argument is complex, it is replaced by its complex conjugate\n in the dot product calculation. `vdot` also handles multidimensional\n arrays differently than `dot`: it does not perform a matrix product, but\n flattens the arguments to 1-D arrays before taking a vector dot product.\n\n Consequently, when the arguments are 2-D arrays of the same shape, this\n function effectively returns their\n `Frobenius inner product `_\n (also known as the *trace inner product* or the *standard inner product*\n on a vector space of matrices).\n\n Parameters\n ----------\n a : array_like\n If `a` is complex the complex conjugate is taken before calculation\n of the dot product.\n b : array_like\n Second argument to the dot product.\n\n Returns\n -------\n output : ndarray\n Dot product of `a` and `b`. Can be an int, float, or\n complex depending on the types of `a` and `b`.\n\n See Also\n --------\n dot : Return the dot product without using the complex conjugate of the\n first argument.\n\n Examples\n --------\n >>> import numpy as np\n >>> a = np.array([1+2j,3+4j])\n >>> b = np.array([5+6j,7+8j])\n >>> np.vdot(a, b)\n (70-8j)\n >>> np.vdot(b, a)\n (70+8j)\n\n Note that higher-dimensional arrays are flattened!\n\n >>> a = np.array([[1, 4], [5, 6]])\n >>> b = np.array([[4, 1], [2, 2]])\n >>> np.vdot(a, b)\n 30\n >>> np.vdot(b, a)\n 30\n >>> 1*4 + 4*1 + 5*2 + 6*2\n 30\n\n \"\"\" # noqa: E501\n return (a, b)\n\n\n@array_function_from_c_func_and_dispatcher(_multiarray_umath.bincount)\ndef bincount(x, /, weights=None, minlength=0):\n \"\"\"\n bincount(x, /, weights=None, minlength=0)\n\n Count number of occurrences of each value in array of non-negative ints.\n\n The number of bins (of size 1) is one larger than the largest value in\n `x`. If `minlength` is specified, there will be at least this number\n of bins in the output array (though it will be longer if necessary,\n depending on the contents of `x`).\n Each bin gives the number of occurrences of its index value in `x`.\n If `weights` is specified the input array is weighted by it, i.e. if a\n value ``n`` is found at position ``i``, ``out[n] += weight[i]`` instead\n of ``out[n] += 1``.\n\n Parameters\n ----------\n x : array_like, 1 dimension, nonnegative ints\n Input array.\n weights : array_like, optional\n Weights, array of the same shape as `x`.\n minlength : int, optional\n A minimum number of bins for the output array.\n\n Returns\n -------\n out : ndarray of ints\n The result of binning the input array.\n The length of `out` is equal to ``np.amax(x)+1``.\n\n Raises\n ------\n ValueError\n If the input is not 1-dimensional, or contains elements with negative\n values, or if `minlength` is negative.\n TypeError\n If the type of the input is float or complex.\n\n See Also\n --------\n histogram, digitize, unique\n\n Examples\n --------\n >>> import numpy as np\n >>> np.bincount(np.arange(5))\n array([1, 1, 1, 1, 1])\n >>> np.bincount(np.array([0, 1, 1, 3, 2, 1, 7]))\n array([1, 3, 1, 1, 0, 0, 0, 1])\n\n >>> x = np.array([0, 1, 1, 3, 2, 1, 7, 23])\n >>> np.bincount(x).size == np.amax(x)+1\n True\n\n The input array needs to be of integer dtype, otherwise a\n TypeError is raised:\n\n >>> np.bincount(np.arange(5, dtype=float))\n Traceback (most recent call last):\n ...\n TypeError: Cannot cast array data from dtype('float64') to dtype('int64')\n according to the rule 'safe'\n\n A possible use of ``bincount`` is to perform sums over\n variable-size chunks of an array, using the ``weights`` keyword.\n\n >>> w = np.array([0.3, 0.5, 0.2, 0.7, 1., -0.6]) # weights\n >>> x = np.array([0, 1, 1, 2, 2, 2])\n >>> np.bincount(x, weights=w)\n array([ 0.3, 0.7, 1.1])\n\n \"\"\"\n return (x, weights)\n\n\n@array_function_from_c_func_and_dispatcher(_multiarray_umath.ravel_multi_index)\ndef ravel_multi_index(multi_index, dims, mode=\"raise\", order=\"C\"):\n \"\"\"\n ravel_multi_index(multi_index, dims, mode='raise', order='C')\n\n Converts a tuple of index arrays into an array of flat\n indices, applying boundary modes to the multi-index.\n\n Parameters\n ----------\n multi_index : tuple of array_like\n A tuple of integer arrays, one array for each dimension.\n dims : tuple of ints\n The shape of array into which the indices from ``multi_index`` apply.\n mode : {'raise', 'wrap', 'clip'}, optional\n Specifies how out-of-bounds indices are handled. Can specify\n either one mode or a tuple of modes, one mode per index.\n\n * 'raise' -- raise an error (default)\n * 'wrap' -- wrap around\n * 'clip' -- clip to the range\n\n In 'clip' mode, a negative index which would normally\n wrap will clip to 0 instead.\n order : {'C', 'F'}, optional\n Determines whether the multi-index should be viewed as\n indexing in row-major (C-style) or column-major\n (Fortran-style) order.\n\n Returns\n -------\n raveled_indices : ndarray\n An array of indices into the flattened version of an array\n of dimensions ``dims``.\n\n See Also\n --------\n unravel_index\n\n Examples\n --------\n >>> import numpy as np\n >>> arr = np.array([[3,6,6],[4,5,1]])\n >>> np.ravel_multi_index(arr, (7,6))\n array([22, 41, 37])\n >>> np.ravel_multi_index(arr, (7,6), order='F')\n array([31, 41, 13])\n >>> np.ravel_multi_index(arr, (4,6), mode='clip')\n array([22, 23, 19])\n >>> np.ravel_multi_index(arr, (4,4), mode=('clip','wrap'))\n array([12, 13, 13])\n\n >>> np.ravel_multi_index((3,1,4,1), (6,7,8,9))\n 1621\n \"\"\"\n return multi_index\n\n\n@array_function_from_c_func_and_dispatcher(_multiarray_umath.unravel_index)\ndef unravel_index(indices, shape, order=\"C\"):\n \"\"\"\n unravel_index(indices, shape, order='C')\n\n Converts a flat index or array of flat indices into a tuple\n of coordinate arrays.\n\n Parameters\n ----------\n indices : array_like\n An integer array whose elements are indices into the flattened\n version of an array of dimensions ``shape``. Before version 1.6.0,\n this function accepted just one index value.\n shape : tuple of ints\n The shape of the array to use for unraveling ``indices``.\n order : {'C', 'F'}, optional\n Determines whether the indices should be viewed as indexing in\n row-major (C-style) or column-major (Fortran-style) order.\n\n Returns\n -------\n unraveled_coords : tuple of ndarray\n Each array in the tuple has the same shape as the ``indices``\n array.\n\n See Also\n --------\n ravel_multi_index\n\n Examples\n --------\n >>> import numpy as np\n >>> np.unravel_index([22, 41, 37], (7,6))\n (array([3, 6, 6]), array([4, 5, 1]))\n >>> np.unravel_index([31, 41, 13], (7,6), order='F')\n (array([3, 6, 6]), array([4, 5, 1]))\n\n >>> np.unravel_index(1621, (6,7,8,9))\n (3, 1, 4, 1)\n\n \"\"\"\n return (indices,)\n\n\n@array_function_from_c_func_and_dispatcher(_multiarray_umath.copyto)\ndef copyto(dst, src, casting=\"same_kind\", where=True):\n \"\"\"\n copyto(dst, src, casting='same_kind', where=True)\n\n Copies values from one array to another, broadcasting as necessary.\n\n Raises a TypeError if the `casting` rule is violated, and if\n `where` is provided, it selects which elements to copy.\n\n Parameters\n ----------\n dst : ndarray\n The array into which values are copied.\n src : array_like\n The array from which values are copied.\n casting : {'no', 'equiv', 'safe', 'same_kind', 'unsafe'}, optional\n Controls what kind of data casting may occur when copying.\n\n * 'no' means the data types should not be cast at all.\n * 'equiv' means only byte-order changes are allowed.\n * 'safe' means only casts which can preserve values are allowed.\n * 'same_kind' means only safe casts or casts within a kind,\n like float64 to float32, are allowed.\n * 'unsafe' means any data conversions may be done.\n where : array_like of bool, optional\n A boolean array which is broadcasted to match the dimensions\n of `dst`, and selects elements to copy from `src` to `dst`\n wherever it contains the value True.\n\n Examples\n --------\n >>> import numpy as np\n >>> A = np.array([4, 5, 6])\n >>> B = [1, 2, 3]\n >>> np.copyto(A, B)\n >>> A\n array([1, 2, 3])\n\n >>> A = np.array([[1, 2, 3], [4, 5, 6]])\n >>> B = [[4, 5, 6], [7, 8, 9]]\n >>> np.copyto(A, B)\n >>> A\n array([[4, 5, 6],\n [7, 8, 9]])\n\n \"\"\"\n return (dst, src, where)\n\n\n@array_function_from_c_func_and_dispatcher(_multiarray_umath.putmask)\ndef putmask(a, /, mask, values):\n \"\"\"\n putmask(a, /, mask, values)\n\n Changes elements of an array based on conditional and input values.\n\n Sets ``a.flat[n] = values[n]`` for each n where ``mask.flat[n]==True``.\n\n If `values` is not the same size as `a` and `mask` then it will repeat.\n This gives behavior different from ``a[mask] = values``.\n\n Parameters\n ----------\n a : ndarray\n Target array.\n mask : array_like\n Boolean mask array. It has to be the same shape as `a`.\n values : array_like\n Values to put into `a` where `mask` is True. If `values` is smaller\n than `a` it will be repeated.\n\n See Also\n --------\n place, put, take, copyto\n\n Examples\n --------\n >>> import numpy as np\n >>> x = np.arange(6).reshape(2, 3)\n >>> np.putmask(x, x>2, x**2)\n >>> x\n array([[ 0, 1, 2],\n [ 9, 16, 25]])\n\n If `values` is smaller than `a` it is repeated:\n\n >>> x = np.arange(5)\n >>> np.putmask(x, x>1, [-33, -44])\n >>> x\n array([ 0, 1, -33, -44, -33])\n\n \"\"\"\n return (a, mask, values)\n\n\n@array_function_from_c_func_and_dispatcher(_multiarray_umath.packbits)\ndef packbits(a, /, axis=None, bitorder=\"big\"):\n \"\"\"\n packbits(a, /, axis=None, bitorder='big')\n\n Packs the elements of a binary-valued array into bits in a uint8 array.\n\n The result is padded to full bytes by inserting zero bits at the end.\n\n Parameters\n ----------\n a : array_like\n An array of integers or booleans whose elements should be packed to\n bits.\n axis : int, optional\n The dimension over which bit-packing is done.\n ``None`` implies packing the flattened array.\n bitorder : {'big', 'little'}, optional\n The order of the input bits. 'big' will mimic bin(val),\n ``[0, 0, 0, 0, 0, 0, 1, 1] => 3 = 0b00000011``, 'little' will\n reverse the order so ``[1, 1, 0, 0, 0, 0, 0, 0] => 3``.\n Defaults to 'big'.\n\n Returns\n -------\n packed : ndarray\n Array of type uint8 whose elements represent bits corresponding to the\n logical (0 or nonzero) value of the input elements. The shape of\n `packed` has the same number of dimensions as the input (unless `axis`\n is None, in which case the output is 1-D).\n\n See Also\n --------\n unpackbits: Unpacks elements of a uint8 array into a binary-valued output\n array.\n\n Examples\n --------\n >>> import numpy as np\n >>> a = np.array([[[1,0,1],\n ... [0,1,0]],\n ... [[1,1,0],\n ... [0,0,1]]])\n >>> b = np.packbits(a, axis=-1)\n >>> b\n array([[[160],\n [ 64]],\n [[192],\n [ 32]]], dtype=uint8)\n\n Note that in binary 160 = 1010 0000, 64 = 0100 0000, 192 = 1100 0000,\n and 32 = 0010 0000.\n\n \"\"\"\n return (a,)\n\n\n@array_function_from_c_func_and_dispatcher(_multiarray_umath.unpackbits)\ndef unpackbits(a, /, axis=None, count=None, bitorder=\"big\"):\n \"\"\"\n unpackbits(a, /, axis=None, count=None, bitorder='big')\n\n Unpacks elements of a uint8 array into a binary-valued output array.\n\n Each element of `a` represents a bit-field that should be unpacked\n into a binary-valued output array. The shape of the output array is\n either 1-D (if `axis` is ``None``) or the same shape as the input\n array with unpacking done along the axis specified.\n\n Parameters\n ----------\n a : ndarray, uint8 type\n Input array.\n axis : int, optional\n The dimension over which bit-unpacking is done.\n ``None`` implies unpacking the flattened array.\n count : int or None, optional\n The number of elements to unpack along `axis`, provided as a way\n of undoing the effect of packing a size that is not a multiple\n of eight. A non-negative number means to only unpack `count`\n bits. A negative number means to trim off that many bits from\n the end. ``None`` means to unpack the entire array (the\n default). Counts larger than the available number of bits will\n add zero padding to the output. Negative counts must not\n exceed the available number of bits.\n bitorder : {'big', 'little'}, optional\n The order of the returned bits. 'big' will mimic bin(val),\n ``3 = 0b00000011 => [0, 0, 0, 0, 0, 0, 1, 1]``, 'little' will reverse\n the order to ``[1, 1, 0, 0, 0, 0, 0, 0]``.\n Defaults to 'big'.\n\n Returns\n -------\n unpacked : ndarray, uint8 type\n The elements are binary-valued (0 or 1).\n\n See Also\n --------\n packbits : Packs the elements of a binary-valued array into bits in\n a uint8 array.\n\n Examples\n --------\n >>> import numpy as np\n >>> a = np.array([[2], [7], [23]], dtype=np.uint8)\n >>> a\n array([[ 2],\n [ 7],\n [23]], dtype=uint8)\n >>> b = np.unpackbits(a, axis=1)\n >>> b\n array([[0, 0, 0, 0, 0, 0, 1, 0],\n [0, 0, 0, 0, 0, 1, 1, 1],\n [0, 0, 0, 1, 0, 1, 1, 1]], dtype=uint8)\n >>> c = np.unpackbits(a, axis=1, count=-3)\n >>> c\n array([[0, 0, 0, 0, 0],\n [0, 0, 0, 0, 0],\n [0, 0, 0, 1, 0]], dtype=uint8)\n\n >>> p = np.packbits(b, axis=0)\n >>> np.unpackbits(p, axis=0)\n array([[0, 0, 0, 0, 0, 0, 1, 0],\n [0, 0, 0, 0, 0, 1, 1, 1],\n [0, 0, 0, 1, 0, 1, 1, 1],\n [0, 0, 0, 0, 0, 0, 0, 0],\n [0, 0, 0, 0, 0, 0, 0, 0],\n [0, 0, 0, 0, 0, 0, 0, 0],\n [0, 0, 0, 0, 0, 0, 0, 0],\n [0, 0, 0, 0, 0, 0, 0, 0]], dtype=uint8)\n >>> np.array_equal(b, np.unpackbits(p, axis=0, count=b.shape[0]))\n True\n\n \"\"\"\n return (a,)\n\n\n@array_function_from_c_func_and_dispatcher(_multiarray_umath.shares_memory)\ndef shares_memory(a, b, /, max_work=-1):\n \"\"\"\n shares_memory(a, b, /, max_work=-1)\n\n Determine if two arrays share memory.\n\n .. warning::\n\n This function can be exponentially slow for some inputs, unless\n `max_work` is set to zero or a positive integer.\n If in doubt, use `numpy.may_share_memory` instead.\n\n Parameters\n ----------\n a, b : ndarray\n Input arrays\n max_work : int, optional\n Effort to spend on solving the overlap problem (maximum number\n of candidate solutions to consider). The following special\n values are recognized:\n\n max_work=-1 (default)\n The problem is solved exactly. In this case, the function returns\n True only if there is an element shared between the arrays. Finding\n the exact solution may take extremely long in some cases.\n max_work=0\n Only the memory bounds of a and b are checked.\n This is equivalent to using ``may_share_memory()``.\n\n Raises\n ------\n numpy.exceptions.TooHardError\n Exceeded max_work.\n\n Returns\n -------\n out : bool\n\n See Also\n --------\n may_share_memory\n\n Examples\n --------\n >>> import numpy as np\n >>> x = np.array([1, 2, 3, 4])\n >>> np.shares_memory(x, np.array([5, 6, 7]))\n False\n >>> np.shares_memory(x[::2], x)\n True\n >>> np.shares_memory(x[::2], x[1::2])\n False\n\n Checking whether two arrays share memory is NP-complete, and\n runtime may increase exponentially in the number of\n dimensions. Hence, `max_work` should generally be set to a finite\n number, as it is possible to construct examples that take\n extremely long to run:\n\n >>> from numpy.lib.stride_tricks import as_strided\n >>> x = np.zeros([192163377], dtype=np.int8)\n >>> x1 = as_strided(\n ... x, strides=(36674, 61119, 85569), shape=(1049, 1049, 1049))\n >>> x2 = as_strided(\n ... x[64023025:], strides=(12223, 12224, 1), shape=(1049, 1049, 1))\n >>> np.shares_memory(x1, x2, max_work=1000)\n Traceback (most recent call last):\n ...\n numpy.exceptions.TooHardError: Exceeded max_work\n\n Running ``np.shares_memory(x1, x2)`` without `max_work` set takes\n around 1 minute for this case. It is possible to find problems\n that take still significantly longer.\n\n \"\"\"\n return (a, b)\n\n\n@array_function_from_c_func_and_dispatcher(_multiarray_umath.may_share_memory)\ndef may_share_memory(a, b, /, max_work=0):\n \"\"\"\n may_share_memory(a, b, /, max_work=0)\n\n Determine if two arrays might share memory\n\n A return of True does not necessarily mean that the two arrays\n share any element. It just means that they *might*.\n\n Only the memory bounds of a and b are checked by default.\n\n Parameters\n ----------\n a, b : ndarray\n Input arrays\n max_work : int, optional\n Effort to spend on solving the overlap problem. See\n `shares_memory` for details. Default for ``may_share_memory``\n is to do a bounds check.\n\n Returns\n -------\n out : bool\n\n See Also\n --------\n shares_memory\n\n Examples\n --------\n >>> import numpy as np\n >>> np.may_share_memory(np.array([1,2]), np.array([5,8,9]))\n False\n >>> x = np.zeros([3, 4])\n >>> np.may_share_memory(x[:,0], x[:,1])\n True\n\n \"\"\"\n return (a, b)\n\n\n@array_function_from_c_func_and_dispatcher(_multiarray_umath.is_busday)\ndef is_busday(dates, weekmask=\"1111100\", holidays=None, busdaycal=None, out=None):\n \"\"\"\n is_busday(\n dates,\n weekmask='1111100',\n holidays=None,\n busdaycal=None,\n out=None,\n )\n\n Calculates which of the given dates are valid days, and which are not.\n\n Parameters\n ----------\n dates : array_like of datetime64[D]\n The array of dates to process.\n weekmask : str or array_like of bool, optional\n A seven-element array indicating which of Monday through Sunday are\n valid days. May be specified as a length-seven list or array, like\n [1,1,1,1,1,0,0]; a length-seven string, like '1111100'; or a string\n like \"Mon Tue Wed Thu Fri\", made up of 3-character abbreviations for\n weekdays, optionally separated by white space. Valid abbreviations\n are: Mon Tue Wed Thu Fri Sat Sun\n holidays : array_like of datetime64[D], optional\n An array of dates to consider as invalid dates. They may be\n specified in any order, and NaT (not-a-time) dates are ignored.\n This list is saved in a normalized form that is suited for\n fast calculations of valid days.\n busdaycal : busdaycalendar, optional\n A `busdaycalendar` object which specifies the valid days. If this\n parameter is provided, neither weekmask nor holidays may be\n provided.\n out : array of bool, optional\n If provided, this array is filled with the result.\n\n Returns\n -------\n out : array of bool\n An array with the same shape as ``dates``, containing True for\n each valid day, and False for each invalid day.\n\n See Also\n --------\n busdaycalendar : An object that specifies a custom set of valid days.\n busday_offset : Applies an offset counted in valid days.\n busday_count : Counts how many valid days are in a half-open date range.\n\n Examples\n --------\n >>> import numpy as np\n >>> # The weekdays are Friday, Saturday, and Monday\n ... np.is_busday(['2011-07-01', '2011-07-02', '2011-07-18'],\n ... holidays=['2011-07-01', '2011-07-04', '2011-07-17'])\n array([False, False, True])\n \"\"\"\n return (dates, weekmask, holidays, out)\n\n\n@array_function_from_c_func_and_dispatcher(_multiarray_umath.busday_offset)\ndef busday_offset(dates, offsets, roll=\"raise\", weekmask=\"1111100\", holidays=None,\n busdaycal=None, out=None):\n \"\"\"\n busday_offset(\n dates,\n offsets,\n roll='raise',\n weekmask='1111100',\n holidays=None,\n busdaycal=None,\n out=None,\n )\n\n First adjusts the date to fall on a valid day according to\n the ``roll`` rule, then applies offsets to the given dates\n counted in valid days.\n\n Parameters\n ----------\n dates : array_like of datetime64[D]\n The array of dates to process.\n offsets : array_like of int\n The array of offsets, which is broadcast with ``dates``.\n roll : {'raise', 'nat', 'forward', 'following', 'backward', 'preceding', \\\n 'modifiedfollowing', 'modifiedpreceding'}, optional\n How to treat dates that do not fall on a valid day. The default\n is 'raise'.\n\n * 'raise' means to raise an exception for an invalid day.\n * 'nat' means to return a NaT (not-a-time) for an invalid day.\n * 'forward' and 'following' mean to take the first valid day\n later in time.\n * 'backward' and 'preceding' mean to take the first valid day\n earlier in time.\n * 'modifiedfollowing' means to take the first valid day\n later in time unless it is across a Month boundary, in which\n case to take the first valid day earlier in time.\n * 'modifiedpreceding' means to take the first valid day\n earlier in time unless it is across a Month boundary, in which\n case to take the first valid day later in time.\n weekmask : str or array_like of bool, optional\n A seven-element array indicating which of Monday through Sunday are\n valid days. May be specified as a length-seven list or array, like\n [1,1,1,1,1,0,0]; a length-seven string, like '1111100'; or a string\n like \"Mon Tue Wed Thu Fri\", made up of 3-character abbreviations for\n weekdays, optionally separated by white space. Valid abbreviations\n are: Mon Tue Wed Thu Fri Sat Sun\n holidays : array_like of datetime64[D], optional\n An array of dates to consider as invalid dates. They may be\n specified in any order, and NaT (not-a-time) dates are ignored.\n This list is saved in a normalized form that is suited for\n fast calculations of valid days.\n busdaycal : busdaycalendar, optional\n A `busdaycalendar` object which specifies the valid days. If this\n parameter is provided, neither weekmask nor holidays may be\n provided.\n out : array of datetime64[D], optional\n If provided, this array is filled with the result.\n\n Returns\n -------\n out : array of datetime64[D]\n An array with a shape from broadcasting ``dates`` and ``offsets``\n together, containing the dates with offsets applied.\n\n See Also\n --------\n busdaycalendar : An object that specifies a custom set of valid days.\n is_busday : Returns a boolean array indicating valid days.\n busday_count : Counts how many valid days are in a half-open date range.\n\n Examples\n --------\n >>> import numpy as np\n >>> # First business day in October 2011 (not accounting for holidays)\n ... np.busday_offset('2011-10', 0, roll='forward')\n np.datetime64('2011-10-03')\n >>> # Last business day in February 2012 (not accounting for holidays)\n ... np.busday_offset('2012-03', -1, roll='forward')\n np.datetime64('2012-02-29')\n >>> # Third Wednesday in January 2011\n ... np.busday_offset('2011-01', 2, roll='forward', weekmask='Wed')\n np.datetime64('2011-01-19')\n >>> # 2012 Mother's Day in Canada and the U.S.\n ... np.busday_offset('2012-05', 1, roll='forward', weekmask='Sun')\n np.datetime64('2012-05-13')\n\n >>> # First business day on or after a date\n ... np.busday_offset('2011-03-20', 0, roll='forward')\n np.datetime64('2011-03-21')\n >>> np.busday_offset('2011-03-22', 0, roll='forward')\n np.datetime64('2011-03-22')\n >>> # First business day after a date\n ... np.busday_offset('2011-03-20', 1, roll='backward')\n np.datetime64('2011-03-21')\n >>> np.busday_offset('2011-03-22', 1, roll='backward')\n np.datetime64('2011-03-23')\n \"\"\"\n return (dates, offsets, weekmask, holidays, out)\n\n\n@array_function_from_c_func_and_dispatcher(_multiarray_umath.busday_count)\ndef busday_count(begindates, enddates, weekmask=\"1111100\", holidays=(),\n busdaycal=None, out=None):\n \"\"\"\n busday_count(\n begindates,\n enddates,\n weekmask='1111100',\n holidays=[],\n busdaycal=None,\n out=None\n )\n\n Counts the number of valid days between `begindates` and\n `enddates`, not including the day of `enddates`.\n\n If ``enddates`` specifies a date value that is earlier than the\n corresponding ``begindates`` date value, the count will be negative.\n\n Parameters\n ----------\n begindates : array_like of datetime64[D]\n The array of the first dates for counting.\n enddates : array_like of datetime64[D]\n The array of the end dates for counting, which are excluded\n from the count themselves.\n weekmask : str or array_like of bool, optional\n A seven-element array indicating which of Monday through Sunday are\n valid days. May be specified as a length-seven list or array, like\n [1,1,1,1,1,0,0]; a length-seven string, like '1111100'; or a string\n like \"Mon Tue Wed Thu Fri\", made up of 3-character abbreviations for\n weekdays, optionally separated by white space. Valid abbreviations\n are: Mon Tue Wed Thu Fri Sat Sun\n holidays : array_like of datetime64[D], optional\n An array of dates to consider as invalid dates. They may be\n specified in any order, and NaT (not-a-time) dates are ignored.\n This list is saved in a normalized form that is suited for\n fast calculations of valid days.\n busdaycal : busdaycalendar, optional\n A `busdaycalendar` object which specifies the valid days. If this\n parameter is provided, neither weekmask nor holidays may be\n provided.\n out : array of int, optional\n If provided, this array is filled with the result.\n\n Returns\n -------\n out : array of int\n An array with a shape from broadcasting ``begindates`` and ``enddates``\n together, containing the number of valid days between\n the begin and end dates.\n\n See Also\n --------\n busdaycalendar : An object that specifies a custom set of valid days.\n is_busday : Returns a boolean array indicating valid days.\n busday_offset : Applies an offset counted in valid days.\n\n Examples\n --------\n >>> import numpy as np\n >>> # Number of weekdays in January 2011\n ... np.busday_count('2011-01', '2011-02')\n 21\n >>> # Number of weekdays in 2011\n >>> np.busday_count('2011', '2012')\n 260\n >>> # Number of Saturdays in 2011\n ... np.busday_count('2011', '2012', weekmask='Sat')\n 53\n \"\"\"\n return (begindates, enddates, weekmask, holidays, out)\n\n\n@array_function_from_c_func_and_dispatcher(_multiarray_umath.datetime_as_string)\ndef datetime_as_string(arr, unit=None, timezone=\"naive\", casting=\"same_kind\"):\n \"\"\"\n datetime_as_string(arr, unit=None, timezone='naive', casting='same_kind')\n\n Convert an array of datetimes into an array of strings.\n\n Parameters\n ----------\n arr : array_like of datetime64\n The array of UTC timestamps to format.\n unit : str\n One of None, 'auto', or\n a :ref:`datetime unit `.\n timezone : {'naive', 'UTC', 'local'} or tzinfo\n Timezone information to use when displaying the datetime. If 'UTC',\n end with a Z to indicate UTC time. If 'local', convert to the local\n timezone first, and suffix with a +-#### timezone offset. If a tzinfo\n object, then do as with 'local', but use the specified timezone.\n casting : {'no', 'equiv', 'safe', 'same_kind', 'unsafe'}\n Casting to allow when changing between datetime units.\n\n Returns\n -------\n str_arr : ndarray\n An array of strings the same shape as `arr`.\n\n Examples\n --------\n >>> import numpy as np\n >>> from zoneinfo import ZoneInfo\n >>> d = np.arange('2002-10-27T04:30', 4*60, 60, dtype='M8[m]')\n >>> d\n array(['2002-10-27T04:30', '2002-10-27T05:30', '2002-10-27T06:30',\n '2002-10-27T07:30'], dtype='datetime64[m]')\n\n Setting the timezone to UTC shows the same information, but with a Z suffix\n\n >>> np.datetime_as_string(d, timezone='UTC')\n array(['2002-10-27T04:30Z', '2002-10-27T05:30Z', '2002-10-27T06:30Z',\n '2002-10-27T07:30Z'], dtype='>> np.datetime_as_string(d, timezone=ZoneInfo('US/Eastern'))\n array(['2002-10-27T00:30-0400', '2002-10-27T01:30-0400',\n '2002-10-27T01:30-0500', '2002-10-27T02:30-0500'], dtype='>> np.datetime_as_string(d, unit='h')\n array(['2002-10-27T04', '2002-10-27T05', '2002-10-27T06', '2002-10-27T07'],\n dtype='>> np.datetime_as_string(d, unit='s')\n array(['2002-10-27T04:30:00', '2002-10-27T05:30:00', '2002-10-27T06:30:00',\n '2002-10-27T07:30:00'], dtype='>> np.datetime_as_string(d, unit='h', casting='safe')\n Traceback (most recent call last):\n ...\n TypeError: Cannot create a datetime string as units 'h' from a NumPy\n datetime with units 'm' according to the rule 'safe'\n \"\"\"\n return (arr,)\n", 1740], "/home/gaogaotiantian/programs/viztracer/venv/lib/python3.12/site-packages/numpy/_core/fromnumeric.py": ["\"\"\"Module containing non-deprecated functions borrowed from Numeric.\n\n\"\"\"\nimport functools\nimport math\nimport types\n\nimport numpy as np\nfrom numpy._utils import set_module\n\nfrom . import _methods, multiarray as mu, numerictypes as nt, overrides, umath as um\nfrom ._multiarray_umath import _array_converter\nfrom .multiarray import asanyarray, asarray, concatenate\n\n_dt_ = nt.sctype2char\n\n# functions that are methods\n__all__ = [\n 'all', 'amax', 'amin', 'any', 'argmax',\n 'argmin', 'argpartition', 'argsort', 'around', 'choose', 'clip',\n 'compress', 'cumprod', 'cumsum', 'cumulative_prod', 'cumulative_sum',\n 'diagonal', 'mean', 'max', 'min', 'matrix_transpose',\n 'ndim', 'nonzero', 'partition', 'prod', 'ptp', 'put',\n 'ravel', 'repeat', 'reshape', 'resize', 'round',\n 'searchsorted', 'shape', 'size', 'sort', 'squeeze',\n 'std', 'sum', 'swapaxes', 'take', 'trace', 'transpose', 'var',\n]\n\n_gentype = types.GeneratorType\n# save away Python sum\n_sum_ = sum\n\narray_function_dispatch = functools.partial(\n overrides.array_function_dispatch, module='numpy')\n\n\n# functions that are now methods\ndef _wrapit(obj, method, *args, **kwds):\n conv = _array_converter(obj)\n # As this already tried the method, subok is maybe quite reasonable here\n # but this follows what was done before. TODO: revisit this.\n arr, = conv.as_arrays(subok=False)\n result = getattr(arr, method)(*args, **kwds)\n\n return conv.wrap(result, to_scalar=False)\n\n\ndef _wrapfunc(obj, method, *args, **kwds):\n bound = getattr(obj, method, None)\n if bound is None:\n return _wrapit(obj, method, *args, **kwds)\n\n try:\n return bound(*args, **kwds)\n except TypeError:\n # A TypeError occurs if the object does have such a method in its\n # class, but its signature is not identical to that of NumPy's. This\n # situation has occurred in the case of a downstream library like\n # 'pandas'.\n #\n # Call _wrapit from within the except clause to ensure a potential\n # exception has a traceback chain.\n return _wrapit(obj, method, *args, **kwds)\n\n\ndef _wrapreduction(obj, ufunc, method, axis, dtype, out, **kwargs):\n passkwargs = {k: v for k, v in kwargs.items()\n if v is not np._NoValue}\n\n if type(obj) is not mu.ndarray:\n try:\n reduction = getattr(obj, method)\n except AttributeError:\n pass\n else:\n # This branch is needed for reductions like any which don't\n # support a dtype.\n if dtype is not None:\n return reduction(axis=axis, dtype=dtype, out=out, **passkwargs)\n else:\n return reduction(axis=axis, out=out, **passkwargs)\n\n return ufunc.reduce(obj, axis, dtype, out, **passkwargs)\n\n\ndef _wrapreduction_any_all(obj, ufunc, method, axis, out, **kwargs):\n # Same as above function, but dtype is always bool (but never passed on)\n passkwargs = {k: v for k, v in kwargs.items()\n if v is not np._NoValue}\n\n if type(obj) is not mu.ndarray:\n try:\n reduction = getattr(obj, method)\n except AttributeError:\n pass\n else:\n return reduction(axis=axis, out=out, **passkwargs)\n\n return ufunc.reduce(obj, axis, bool, out, **passkwargs)\n\n\ndef _take_dispatcher(a, indices, axis=None, out=None, mode=None):\n return (a, out)\n\n\n@array_function_dispatch(_take_dispatcher)\ndef take(a, indices, axis=None, out=None, mode='raise'):\n \"\"\"\n Take elements from an array along an axis.\n\n When axis is not None, this function does the same thing as \"fancy\"\n indexing (indexing arrays using arrays); however, it can be easier to use\n if you need elements along a given axis. A call such as\n ``np.take(arr, indices, axis=3)`` is equivalent to\n ``arr[:,:,:,indices,...]``.\n\n Explained without fancy indexing, this is equivalent to the following use\n of `ndindex`, which sets each of ``ii``, ``jj``, and ``kk`` to a tuple of\n indices::\n\n Ni, Nk = a.shape[:axis], a.shape[axis+1:]\n Nj = indices.shape\n for ii in ndindex(Ni):\n for jj in ndindex(Nj):\n for kk in ndindex(Nk):\n out[ii + jj + kk] = a[ii + (indices[jj],) + kk]\n\n Parameters\n ----------\n a : array_like (Ni..., M, Nk...)\n The source array.\n indices : array_like (Nj...)\n The indices of the values to extract.\n Also allow scalars for indices.\n axis : int, optional\n The axis over which to select values. By default, the flattened\n input array is used.\n out : ndarray, optional (Ni..., Nj..., Nk...)\n If provided, the result will be placed in this array. It should\n be of the appropriate shape and dtype. Note that `out` is always\n buffered if `mode='raise'`; use other modes for better performance.\n mode : {'raise', 'wrap', 'clip'}, optional\n Specifies how out-of-bounds indices will behave.\n\n * 'raise' -- raise an error (default)\n * 'wrap' -- wrap around\n * 'clip' -- clip to the range\n\n 'clip' mode means that all indices that are too large are replaced\n by the index that addresses the last element along that axis. Note\n that this disables indexing with negative numbers.\n\n Returns\n -------\n out : ndarray (Ni..., Nj..., Nk...)\n The returned array has the same type as `a`.\n\n See Also\n --------\n compress : Take elements using a boolean mask\n ndarray.take : equivalent method\n take_along_axis : Take elements by matching the array and the index arrays\n\n Notes\n -----\n By eliminating the inner loop in the description above, and using `s_` to\n build simple slice objects, `take` can be expressed in terms of applying\n fancy indexing to each 1-d slice::\n\n Ni, Nk = a.shape[:axis], a.shape[axis+1:]\n for ii in ndindex(Ni):\n for kk in ndindex(Nk):\n out[ii + s_[...,] + kk] = a[ii + s_[:,] + kk][indices]\n\n For this reason, it is equivalent to (but faster than) the following use\n of `apply_along_axis`::\n\n out = np.apply_along_axis(lambda a_1d: a_1d[indices], axis, a)\n\n Examples\n --------\n >>> import numpy as np\n >>> a = [4, 3, 5, 7, 6, 8]\n >>> indices = [0, 1, 4]\n >>> np.take(a, indices)\n array([4, 3, 6])\n\n In this example if `a` is an ndarray, \"fancy\" indexing can be used.\n\n >>> a = np.array(a)\n >>> a[indices]\n array([4, 3, 6])\n\n If `indices` is not one dimensional, the output also has these dimensions.\n\n >>> np.take(a, [[0, 1], [2, 3]])\n array([[4, 3],\n [5, 7]])\n \"\"\"\n return _wrapfunc(a, 'take', indices, axis=axis, out=out, mode=mode)\n\n\ndef _reshape_dispatcher(a, /, shape, order=None, *, copy=None):\n return (a,)\n\n\n@array_function_dispatch(_reshape_dispatcher)\ndef reshape(a, /, shape, order='C', *, copy=None):\n \"\"\"\n Gives a new shape to an array without changing its data.\n\n Parameters\n ----------\n a : array_like\n Array to be reshaped.\n shape : int or tuple of ints\n The new shape should be compatible with the original shape. If\n an integer, then the result will be a 1-D array of that length.\n One shape dimension can be -1. In this case, the value is\n inferred from the length of the array and remaining dimensions.\n order : {'C', 'F', 'A'}, optional\n Read the elements of ``a`` using this index order, and place the\n elements into the reshaped array using this index order. 'C'\n means to read / write the elements using C-like index order,\n with the last axis index changing fastest, back to the first\n axis index changing slowest. 'F' means to read / write the\n elements using Fortran-like index order, with the first index\n changing fastest, and the last index changing slowest. Note that\n the 'C' and 'F' options take no account of the memory layout of\n the underlying array, and only refer to the order of indexing.\n 'A' means to read / write the elements in Fortran-like index\n order if ``a`` is Fortran *contiguous* in memory, C-like order\n otherwise.\n copy : bool, optional\n If ``True``, then the array data is copied. If ``None``, a copy will\n only be made if it's required by ``order``. For ``False`` it raises\n a ``ValueError`` if a copy cannot be avoided. Default: ``None``.\n\n Returns\n -------\n reshaped_array : ndarray\n This will be a new view object if possible; otherwise, it will\n be a copy. Note there is no guarantee of the *memory layout* (C- or\n Fortran- contiguous) of the returned array.\n\n See Also\n --------\n ndarray.reshape : Equivalent method.\n\n Notes\n -----\n It is not always possible to change the shape of an array without copying\n the data.\n\n The ``order`` keyword gives the index ordering both for *fetching*\n the values from ``a``, and then *placing* the values into the output\n array. For example, let's say you have an array:\n\n >>> a = np.arange(6).reshape((3, 2))\n >>> a\n array([[0, 1],\n [2, 3],\n [4, 5]])\n\n You can think of reshaping as first raveling the array (using the given\n index order), then inserting the elements from the raveled array into the\n new array using the same kind of index ordering as was used for the\n raveling.\n\n >>> np.reshape(a, (2, 3)) # C-like index ordering\n array([[0, 1, 2],\n [3, 4, 5]])\n >>> np.reshape(np.ravel(a), (2, 3)) # equivalent to C ravel then C reshape\n array([[0, 1, 2],\n [3, 4, 5]])\n >>> np.reshape(a, (2, 3), order='F') # Fortran-like index ordering\n array([[0, 4, 3],\n [2, 1, 5]])\n >>> np.reshape(np.ravel(a, order='F'), (2, 3), order='F')\n array([[0, 4, 3],\n [2, 1, 5]])\n\n Examples\n --------\n >>> import numpy as np\n >>> a = np.array([[1,2,3], [4,5,6]])\n >>> np.reshape(a, 6)\n array([1, 2, 3, 4, 5, 6])\n >>> np.reshape(a, 6, order='F')\n array([1, 4, 2, 5, 3, 6])\n\n >>> np.reshape(a, (3,-1)) # the unspecified value is inferred to be 2\n array([[1, 2],\n [3, 4],\n [5, 6]])\n \"\"\"\n if copy is not None:\n return _wrapfunc(a, 'reshape', shape, order=order, copy=copy)\n return _wrapfunc(a, 'reshape', shape, order=order)\n\n\ndef _choose_dispatcher(a, choices, out=None, mode=None):\n yield a\n yield from choices\n yield out\n\n\n@array_function_dispatch(_choose_dispatcher)\ndef choose(a, choices, out=None, mode='raise'):\n \"\"\"\n Construct an array from an index array and a list of arrays to choose from.\n\n First of all, if confused or uncertain, definitely look at the Examples -\n in its full generality, this function is less simple than it might\n seem from the following code description::\n\n np.choose(a,c) == np.array([c[a[I]][I] for I in np.ndindex(a.shape)])\n\n But this omits some subtleties. Here is a fully general summary:\n\n Given an \"index\" array (`a`) of integers and a sequence of ``n`` arrays\n (`choices`), `a` and each choice array are first broadcast, as necessary,\n to arrays of a common shape; calling these *Ba* and *Bchoices[i], i =\n 0,...,n-1* we have that, necessarily, ``Ba.shape == Bchoices[i].shape``\n for each ``i``. Then, a new array with shape ``Ba.shape`` is created as\n follows:\n\n * if ``mode='raise'`` (the default), then, first of all, each element of\n ``a`` (and thus ``Ba``) must be in the range ``[0, n-1]``; now, suppose\n that ``i`` (in that range) is the value at the ``(j0, j1, ..., jm)``\n position in ``Ba`` - then the value at the same position in the new array\n is the value in ``Bchoices[i]`` at that same position;\n\n * if ``mode='wrap'``, values in `a` (and thus `Ba`) may be any (signed)\n integer; modular arithmetic is used to map integers outside the range\n `[0, n-1]` back into that range; and then the new array is constructed\n as above;\n\n * if ``mode='clip'``, values in `a` (and thus ``Ba``) may be any (signed)\n integer; negative integers are mapped to 0; values greater than ``n-1``\n are mapped to ``n-1``; and then the new array is constructed as above.\n\n Parameters\n ----------\n a : int array\n This array must contain integers in ``[0, n-1]``, where ``n`` is the\n number of choices, unless ``mode=wrap`` or ``mode=clip``, in which\n cases any integers are permissible.\n choices : sequence of arrays\n Choice arrays. `a` and all of the choices must be broadcastable to the\n same shape. If `choices` is itself an array (not recommended), then\n its outermost dimension (i.e., the one corresponding to\n ``choices.shape[0]``) is taken as defining the \"sequence\".\n out : array, optional\n If provided, the result will be inserted into this array. It should\n be of the appropriate shape and dtype. Note that `out` is always\n buffered if ``mode='raise'``; use other modes for better performance.\n mode : {'raise' (default), 'wrap', 'clip'}, optional\n Specifies how indices outside ``[0, n-1]`` will be treated:\n\n * 'raise' : an exception is raised\n * 'wrap' : value becomes value mod ``n``\n * 'clip' : values < 0 are mapped to 0, values > n-1 are mapped to n-1\n\n Returns\n -------\n merged_array : array\n The merged result.\n\n Raises\n ------\n ValueError: shape mismatch\n If `a` and each choice array are not all broadcastable to the same\n shape.\n\n See Also\n --------\n ndarray.choose : equivalent method\n numpy.take_along_axis : Preferable if `choices` is an array\n\n Notes\n -----\n To reduce the chance of misinterpretation, even though the following\n \"abuse\" is nominally supported, `choices` should neither be, nor be\n thought of as, a single array, i.e., the outermost sequence-like container\n should be either a list or a tuple.\n\n Examples\n --------\n\n >>> import numpy as np\n >>> choices = [[0, 1, 2, 3], [10, 11, 12, 13],\n ... [20, 21, 22, 23], [30, 31, 32, 33]]\n >>> np.choose([2, 3, 1, 0], choices\n ... # the first element of the result will be the first element of the\n ... # third (2+1) \"array\" in choices, namely, 20; the second element\n ... # will be the second element of the fourth (3+1) choice array, i.e.,\n ... # 31, etc.\n ... )\n array([20, 31, 12, 3])\n >>> np.choose([2, 4, 1, 0], choices, mode='clip') # 4 goes to 3 (4-1)\n array([20, 31, 12, 3])\n >>> # because there are 4 choice arrays\n >>> np.choose([2, 4, 1, 0], choices, mode='wrap') # 4 goes to (4 mod 4)\n array([20, 1, 12, 3])\n >>> # i.e., 0\n\n A couple examples illustrating how choose broadcasts:\n\n >>> a = [[1, 0, 1], [0, 1, 0], [1, 0, 1]]\n >>> choices = [-10, 10]\n >>> np.choose(a, choices)\n array([[ 10, -10, 10],\n [-10, 10, -10],\n [ 10, -10, 10]])\n\n >>> # With thanks to Anne Archibald\n >>> a = np.array([0, 1]).reshape((2,1,1))\n >>> c1 = np.array([1, 2, 3]).reshape((1,3,1))\n >>> c2 = np.array([-1, -2, -3, -4, -5]).reshape((1,1,5))\n >>> np.choose(a, (c1, c2)) # result is 2x3x5, res[0,:,:]=c1, res[1,:,:]=c2\n array([[[ 1, 1, 1, 1, 1],\n [ 2, 2, 2, 2, 2],\n [ 3, 3, 3, 3, 3]],\n [[-1, -2, -3, -4, -5],\n [-1, -2, -3, -4, -5],\n [-1, -2, -3, -4, -5]]])\n\n \"\"\"\n return _wrapfunc(a, 'choose', choices, out=out, mode=mode)\n\n\ndef _repeat_dispatcher(a, repeats, axis=None):\n return (a,)\n\n\n@array_function_dispatch(_repeat_dispatcher)\ndef repeat(a, repeats, axis=None):\n \"\"\"\n Repeat each element of an array after themselves\n\n Parameters\n ----------\n a : array_like\n Input array.\n repeats : int or array of ints\n The number of repetitions for each element. `repeats` is broadcasted\n to fit the shape of the given axis.\n axis : int, optional\n The axis along which to repeat values. By default, use the\n flattened input array, and return a flat output array.\n\n Returns\n -------\n repeated_array : ndarray\n Output array which has the same shape as `a`, except along\n the given axis.\n\n See Also\n --------\n tile : Tile an array.\n unique : Find the unique elements of an array.\n\n Examples\n --------\n >>> import numpy as np\n >>> np.repeat(3, 4)\n array([3, 3, 3, 3])\n >>> x = np.array([[1,2],[3,4]])\n >>> np.repeat(x, 2)\n array([1, 1, 2, 2, 3, 3, 4, 4])\n >>> np.repeat(x, 3, axis=1)\n array([[1, 1, 1, 2, 2, 2],\n [3, 3, 3, 4, 4, 4]])\n >>> np.repeat(x, [1, 2], axis=0)\n array([[1, 2],\n [3, 4],\n [3, 4]])\n\n \"\"\"\n return _wrapfunc(a, 'repeat', repeats, axis=axis)\n\n\ndef _put_dispatcher(a, ind, v, mode=None):\n return (a, ind, v)\n\n\n@array_function_dispatch(_put_dispatcher)\ndef put(a, ind, v, mode='raise'):\n \"\"\"\n Replaces specified elements of an array with given values.\n\n The indexing works on the flattened target array. `put` is roughly\n equivalent to:\n\n ::\n\n a.flat[ind] = v\n\n Parameters\n ----------\n a : ndarray\n Target array.\n ind : array_like\n Target indices, interpreted as integers.\n v : array_like\n Values to place in `a` at target indices. If `v` is shorter than\n `ind` it will be repeated as necessary.\n mode : {'raise', 'wrap', 'clip'}, optional\n Specifies how out-of-bounds indices will behave.\n\n * 'raise' -- raise an error (default)\n * 'wrap' -- wrap around\n * 'clip' -- clip to the range\n\n 'clip' mode means that all indices that are too large are replaced\n by the index that addresses the last element along that axis. Note\n that this disables indexing with negative numbers. In 'raise' mode,\n if an exception occurs the target array may still be modified.\n\n See Also\n --------\n putmask, place\n put_along_axis : Put elements by matching the array and the index arrays\n\n Examples\n --------\n >>> import numpy as np\n >>> a = np.arange(5)\n >>> np.put(a, [0, 2], [-44, -55])\n >>> a\n array([-44, 1, -55, 3, 4])\n\n >>> a = np.arange(5)\n >>> np.put(a, 22, -5, mode='clip')\n >>> a\n array([ 0, 1, 2, 3, -5])\n\n \"\"\"\n try:\n put = a.put\n except AttributeError as e:\n raise TypeError(f\"argument 1 must be numpy.ndarray, not {type(a)}\") from e\n\n return put(ind, v, mode=mode)\n\n\ndef _swapaxes_dispatcher(a, axis1, axis2):\n return (a,)\n\n\n@array_function_dispatch(_swapaxes_dispatcher)\ndef swapaxes(a, axis1, axis2):\n \"\"\"\n Interchange two axes of an array.\n\n Parameters\n ----------\n a : array_like\n Input array.\n axis1 : int\n First axis.\n axis2 : int\n Second axis.\n\n Returns\n -------\n a_swapped : ndarray\n For NumPy >= 1.10.0, if `a` is an ndarray, then a view of `a` is\n returned; otherwise a new array is created. For earlier NumPy\n versions a view of `a` is returned only if the order of the\n axes is changed, otherwise the input array is returned.\n\n Examples\n --------\n >>> import numpy as np\n >>> x = np.array([[1,2,3]])\n >>> np.swapaxes(x,0,1)\n array([[1],\n [2],\n [3]])\n\n >>> x = np.array([[[0,1],[2,3]],[[4,5],[6,7]]])\n >>> x\n array([[[0, 1],\n [2, 3]],\n [[4, 5],\n [6, 7]]])\n\n >>> np.swapaxes(x,0,2)\n array([[[0, 4],\n [2, 6]],\n [[1, 5],\n [3, 7]]])\n\n \"\"\"\n return _wrapfunc(a, 'swapaxes', axis1, axis2)\n\n\ndef _transpose_dispatcher(a, axes=None):\n return (a,)\n\n\n@array_function_dispatch(_transpose_dispatcher)\ndef transpose(a, axes=None):\n \"\"\"\n Returns an array with axes transposed.\n\n For a 1-D array, this returns an unchanged view of the original array, as a\n transposed vector is simply the same vector.\n To convert a 1-D array into a 2-D column vector, an additional dimension\n must be added, e.g., ``np.atleast_2d(a).T`` achieves this, as does\n ``a[:, np.newaxis]``.\n For a 2-D array, this is the standard matrix transpose.\n For an n-D array, if axes are given, their order indicates how the\n axes are permuted (see Examples). If axes are not provided, then\n ``transpose(a).shape == a.shape[::-1]``.\n\n Parameters\n ----------\n a : array_like\n Input array.\n axes : tuple or list of ints, optional\n If specified, it must be a tuple or list which contains a permutation\n of [0, 1, ..., N-1] where N is the number of axes of `a`. Negative\n indices can also be used to specify axes. The i-th axis of the returned\n array will correspond to the axis numbered ``axes[i]`` of the input.\n If not specified, defaults to ``range(a.ndim)[::-1]``, which reverses\n the order of the axes.\n\n Returns\n -------\n p : ndarray\n `a` with its axes permuted. A view is returned whenever possible.\n\n See Also\n --------\n ndarray.transpose : Equivalent method.\n moveaxis : Move axes of an array to new positions.\n argsort : Return the indices that would sort an array.\n\n Notes\n -----\n Use ``transpose(a, argsort(axes))`` to invert the transposition of tensors\n when using the `axes` keyword argument.\n\n Examples\n --------\n >>> import numpy as np\n >>> a = np.array([[1, 2], [3, 4]])\n >>> a\n array([[1, 2],\n [3, 4]])\n >>> np.transpose(a)\n array([[1, 3],\n [2, 4]])\n\n >>> a = np.array([1, 2, 3, 4])\n >>> a\n array([1, 2, 3, 4])\n >>> np.transpose(a)\n array([1, 2, 3, 4])\n\n >>> a = np.ones((1, 2, 3))\n >>> np.transpose(a, (1, 0, 2)).shape\n (2, 1, 3)\n\n >>> a = np.ones((2, 3, 4, 5))\n >>> np.transpose(a).shape\n (5, 4, 3, 2)\n\n >>> a = np.arange(3*4*5).reshape((3, 4, 5))\n >>> np.transpose(a, (-1, 0, -2)).shape\n (5, 3, 4)\n\n \"\"\"\n return _wrapfunc(a, 'transpose', axes)\n\n\ndef _matrix_transpose_dispatcher(x):\n return (x,)\n\n@array_function_dispatch(_matrix_transpose_dispatcher)\ndef matrix_transpose(x, /):\n \"\"\"\n Transposes a matrix (or a stack of matrices) ``x``.\n\n This function is Array API compatible.\n\n Parameters\n ----------\n x : array_like\n Input array having shape (..., M, N) and whose two innermost\n dimensions form ``MxN`` matrices.\n\n Returns\n -------\n out : ndarray\n An array containing the transpose for each matrix and having shape\n (..., N, M).\n\n See Also\n --------\n transpose : Generic transpose method.\n\n Examples\n --------\n >>> import numpy as np\n >>> np.matrix_transpose([[1, 2], [3, 4]])\n array([[1, 3],\n [2, 4]])\n\n >>> np.matrix_transpose([[[1, 2], [3, 4]], [[5, 6], [7, 8]]])\n array([[[1, 3],\n [2, 4]],\n [[5, 7],\n [6, 8]]])\n\n \"\"\"\n x = asanyarray(x)\n if x.ndim < 2:\n raise ValueError(\n f\"Input array must be at least 2-dimensional, but it is {x.ndim}\"\n )\n return swapaxes(x, -1, -2)\n\n\ndef _partition_dispatcher(a, kth, axis=None, kind=None, order=None):\n return (a,)\n\n\n@array_function_dispatch(_partition_dispatcher)\ndef partition(a, kth, axis=-1, kind='introselect', order=None):\n \"\"\"\n Return a partitioned copy of an array.\n\n Creates a copy of the array and partially sorts it in such a way that\n the value of the element in k-th position is in the position it would be\n in a sorted array. In the output array, all elements smaller than the k-th\n element are located to the left of this element and all equal or greater\n are located to its right. The ordering of the elements in the two\n partitions on the either side of the k-th element in the output array is\n undefined.\n\n Parameters\n ----------\n a : array_like\n Array to be sorted.\n kth : int or sequence of ints\n Element index to partition by. The k-th value of the element\n will be in its final sorted position and all smaller elements\n will be moved before it and all equal or greater elements behind\n it. The order of all elements in the partitions is undefined. If\n provided with a sequence of k-th it will partition all elements\n indexed by k-th of them into their sorted position at once.\n\n axis : int or None, optional\n Axis along which to sort. If None, the array is flattened before\n sorting. The default is -1, which sorts along the last axis.\n kind : {'introselect'}, optional\n Selection algorithm. Default is 'introselect'.\n order : str or list of str, optional\n When `a` is an array with fields defined, this argument\n specifies which fields to compare first, second, etc. A single\n field can be specified as a string. Not all fields need be\n specified, but unspecified fields will still be used, in the\n order in which they come up in the dtype, to break ties.\n\n Returns\n -------\n partitioned_array : ndarray\n Array of the same type and shape as `a`.\n\n See Also\n --------\n ndarray.partition : Method to sort an array in-place.\n argpartition : Indirect partition.\n sort : Full sorting\n\n Notes\n -----\n The various selection algorithms are characterized by their average\n speed, worst case performance, work space size, and whether they are\n stable. A stable sort keeps items with the same key in the same\n relative order. The available algorithms have the following\n properties:\n\n ================= ======= ============= ============ =======\n kind speed worst case work space stable\n ================= ======= ============= ============ =======\n 'introselect' 1 O(n) 0 no\n ================= ======= ============= ============ =======\n\n All the partition algorithms make temporary copies of the data when\n partitioning along any but the last axis. Consequently,\n partitioning along the last axis is faster and uses less space than\n partitioning along any other axis.\n\n The sort order for complex numbers is lexicographic. If both the\n real and imaginary parts are non-nan then the order is determined by\n the real parts except when they are equal, in which case the order\n is determined by the imaginary parts.\n\n The sort order of ``np.nan`` is bigger than ``np.inf``.\n\n Examples\n --------\n >>> import numpy as np\n >>> a = np.array([7, 1, 7, 7, 1, 5, 7, 2, 3, 2, 6, 2, 3, 0])\n >>> p = np.partition(a, 4)\n >>> p\n array([0, 1, 2, 1, 2, 5, 2, 3, 3, 6, 7, 7, 7, 7]) # may vary\n\n ``p[4]`` is 2; all elements in ``p[:4]`` are less than or equal\n to ``p[4]``, and all elements in ``p[5:]`` are greater than or\n equal to ``p[4]``. The partition is::\n\n [0, 1, 2, 1], [2], [5, 2, 3, 3, 6, 7, 7, 7, 7]\n\n The next example shows the use of multiple values passed to `kth`.\n\n >>> p2 = np.partition(a, (4, 8))\n >>> p2\n array([0, 1, 2, 1, 2, 3, 3, 2, 5, 6, 7, 7, 7, 7])\n\n ``p2[4]`` is 2 and ``p2[8]`` is 5. All elements in ``p2[:4]``\n are less than or equal to ``p2[4]``, all elements in ``p2[5:8]``\n are greater than or equal to ``p2[4]`` and less than or equal to\n ``p2[8]``, and all elements in ``p2[9:]`` are greater than or\n equal to ``p2[8]``. The partition is::\n\n [0, 1, 2, 1], [2], [3, 3, 2], [5], [6, 7, 7, 7, 7]\n \"\"\"\n if axis is None:\n # flatten returns (1, N) for np.matrix, so always use the last axis\n a = asanyarray(a).flatten()\n axis = -1\n else:\n a = asanyarray(a).copy(order=\"K\")\n a.partition(kth, axis=axis, kind=kind, order=order)\n return a\n\n\ndef _argpartition_dispatcher(a, kth, axis=None, kind=None, order=None):\n return (a,)\n\n\n@array_function_dispatch(_argpartition_dispatcher)\ndef argpartition(a, kth, axis=-1, kind='introselect', order=None):\n \"\"\"\n Perform an indirect partition along the given axis using the\n algorithm specified by the `kind` keyword. It returns an array of\n indices of the same shape as `a` that index data along the given\n axis in partitioned order.\n\n Parameters\n ----------\n a : array_like\n Array to sort.\n kth : int or sequence of ints\n Element index to partition by. The k-th element will be in its\n final sorted position and all smaller elements will be moved\n before it and all larger elements behind it. The order of all\n elements in the partitions is undefined. If provided with a\n sequence of k-th it will partition all of them into their sorted\n position at once.\n\n axis : int or None, optional\n Axis along which to sort. The default is -1 (the last axis). If\n None, the flattened array is used.\n kind : {'introselect'}, optional\n Selection algorithm. Default is 'introselect'\n order : str or list of str, optional\n When `a` is an array with fields defined, this argument\n specifies which fields to compare first, second, etc. A single\n field can be specified as a string, and not all fields need be\n specified, but unspecified fields will still be used, in the\n order in which they come up in the dtype, to break ties.\n\n Returns\n -------\n index_array : ndarray, int\n Array of indices that partition `a` along the specified axis.\n If `a` is one-dimensional, ``a[index_array]`` yields a partitioned `a`.\n More generally, ``np.take_along_axis(a, index_array, axis=axis)``\n always yields the partitioned `a`, irrespective of dimensionality.\n\n See Also\n --------\n partition : Describes partition algorithms used.\n ndarray.partition : Inplace partition.\n argsort : Full indirect sort.\n take_along_axis : Apply ``index_array`` from argpartition\n to an array as if by calling partition.\n\n Notes\n -----\n The returned indices are not guaranteed to be sorted according to\n the values. Furthermore, the default selection algorithm ``introselect``\n is unstable, and hence the returned indices are not guaranteed\n to be the earliest/latest occurrence of the element.\n\n `argpartition` works for real/complex inputs with nan values,\n see `partition` for notes on the enhanced sort order and\n different selection algorithms.\n\n Examples\n --------\n One dimensional array:\n\n >>> import numpy as np\n >>> x = np.array([3, 4, 2, 1])\n >>> x[np.argpartition(x, 3)]\n array([2, 1, 3, 4]) # may vary\n >>> x[np.argpartition(x, (1, 3))]\n array([1, 2, 3, 4]) # may vary\n\n >>> x = [3, 4, 2, 1]\n >>> np.array(x)[np.argpartition(x, 3)]\n array([2, 1, 3, 4]) # may vary\n\n Multi-dimensional array:\n\n >>> x = np.array([[3, 4, 2], [1, 3, 1]])\n >>> index_array = np.argpartition(x, kth=1, axis=-1)\n >>> # below is the same as np.partition(x, kth=1)\n >>> np.take_along_axis(x, index_array, axis=-1)\n array([[2, 3, 4],\n [1, 1, 3]])\n\n \"\"\"\n return _wrapfunc(a, 'argpartition', kth, axis=axis, kind=kind, order=order)\n\n\ndef _sort_dispatcher(a, axis=None, kind=None, order=None, *, stable=None):\n return (a,)\n\n\n@array_function_dispatch(_sort_dispatcher)\ndef sort(a, axis=-1, kind=None, order=None, *, stable=None):\n \"\"\"\n Return a sorted copy of an array.\n\n Parameters\n ----------\n a : array_like\n Array to be sorted.\n axis : int or None, optional\n Axis along which to sort. If None, the array is flattened before\n sorting. The default is -1, which sorts along the last axis.\n kind : {'quicksort', 'mergesort', 'heapsort', 'stable'}, optional\n Sorting algorithm. The default is 'quicksort'. Note that both 'stable'\n and 'mergesort' use timsort or radix sort under the covers and,\n in general, the actual implementation will vary with data type.\n The 'mergesort' option is retained for backwards compatibility.\n order : str or list of str, optional\n When `a` is an array with fields defined, this argument specifies\n which fields to compare first, second, etc. A single field can\n be specified as a string, and not all fields need be specified,\n but unspecified fields will still be used, in the order in which\n they come up in the dtype, to break ties.\n stable : bool, optional\n Sort stability. If ``True``, the returned array will maintain\n the relative order of ``a`` values which compare as equal.\n If ``False`` or ``None``, this is not guaranteed. Internally,\n this option selects ``kind='stable'``. Default: ``None``.\n\n .. versionadded:: 2.0.0\n\n Returns\n -------\n sorted_array : ndarray\n Array of the same type and shape as `a`.\n\n See Also\n --------\n ndarray.sort : Method to sort an array in-place.\n argsort : Indirect sort.\n lexsort : Indirect stable sort on multiple keys.\n searchsorted : Find elements in a sorted array.\n partition : Partial sort.\n\n Notes\n -----\n The various sorting algorithms are characterized by their average speed,\n worst case performance, work space size, and whether they are stable. A\n stable sort keeps items with the same key in the same relative\n order. The four algorithms implemented in NumPy have the following\n properties:\n\n =========== ======= ============= ============ ========\n kind speed worst case work space stable\n =========== ======= ============= ============ ========\n 'quicksort' 1 O(n^2) 0 no\n 'heapsort' 3 O(n*log(n)) 0 no\n 'mergesort' 2 O(n*log(n)) ~n/2 yes\n 'timsort' 2 O(n*log(n)) ~n/2 yes\n =========== ======= ============= ============ ========\n\n .. note:: The datatype determines which of 'mergesort' or 'timsort'\n is actually used, even if 'mergesort' is specified. User selection\n at a finer scale is not currently available.\n\n For performance, ``sort`` makes a temporary copy if needed to make the data\n `contiguous `_\n in memory along the sort axis. For even better performance and reduced\n memory consumption, ensure that the array is already contiguous along the\n sort axis.\n\n The sort order for complex numbers is lexicographic. If both the real\n and imaginary parts are non-nan then the order is determined by the\n real parts except when they are equal, in which case the order is\n determined by the imaginary parts.\n\n Previous to numpy 1.4.0 sorting real and complex arrays containing nan\n values led to undefined behaviour. In numpy versions >= 1.4.0 nan\n values are sorted to the end. The extended sort order is:\n\n * Real: [R, nan]\n * Complex: [R + Rj, R + nanj, nan + Rj, nan + nanj]\n\n where R is a non-nan real value. Complex values with the same nan\n placements are sorted according to the non-nan part if it exists.\n Non-nan values are sorted as before.\n\n quicksort has been changed to:\n `introsort `_.\n When sorting does not make enough progress it switches to\n `heapsort `_.\n This implementation makes quicksort O(n*log(n)) in the worst case.\n\n 'stable' automatically chooses the best stable sorting algorithm\n for the data type being sorted.\n It, along with 'mergesort' is currently mapped to\n `timsort `_\n or `radix sort `_\n depending on the data type.\n API forward compatibility currently limits the\n ability to select the implementation and it is hardwired for the different\n data types.\n\n Timsort is added for better performance on already or nearly\n sorted data. On random data timsort is almost identical to\n mergesort. It is now used for stable sort while quicksort is still the\n default sort if none is chosen. For timsort details, refer to\n `CPython listsort.txt\n `_\n 'mergesort' and 'stable' are mapped to radix sort for integer data types.\n Radix sort is an O(n) sort instead of O(n log n).\n\n NaT now sorts to the end of arrays for consistency with NaN.\n\n Examples\n --------\n >>> import numpy as np\n >>> a = np.array([[1,4],[3,1]])\n >>> np.sort(a) # sort along the last axis\n array([[1, 4],\n [1, 3]])\n >>> np.sort(a, axis=None) # sort the flattened array\n array([1, 1, 3, 4])\n >>> np.sort(a, axis=0) # sort along the first axis\n array([[1, 1],\n [3, 4]])\n\n Use the `order` keyword to specify a field to use when sorting a\n structured array:\n\n >>> dtype = [('name', 'S10'), ('height', float), ('age', int)]\n >>> values = [('Arthur', 1.8, 41), ('Lancelot', 1.9, 38),\n ... ('Galahad', 1.7, 38)]\n >>> a = np.array(values, dtype=dtype) # create a structured array\n >>> np.sort(a, order='height') # doctest: +SKIP\n array([('Galahad', 1.7, 38), ('Arthur', 1.8, 41),\n ('Lancelot', 1.8999999999999999, 38)],\n dtype=[('name', '|S10'), ('height', '>> np.sort(a, order=['age', 'height']) # doctest: +SKIP\n array([('Galahad', 1.7, 38), ('Lancelot', 1.8999999999999999, 38),\n ('Arthur', 1.8, 41)],\n dtype=[('name', '|S10'), ('height', '>> import numpy as np\n >>> x = np.array([3, 1, 2])\n >>> np.argsort(x)\n array([1, 2, 0])\n\n Two-dimensional array:\n\n >>> x = np.array([[0, 3], [2, 2]])\n >>> x\n array([[0, 3],\n [2, 2]])\n\n >>> ind = np.argsort(x, axis=0) # sorts along first axis (down)\n >>> ind\n array([[0, 1],\n [1, 0]])\n >>> np.take_along_axis(x, ind, axis=0) # same as np.sort(x, axis=0)\n array([[0, 2],\n [2, 3]])\n\n >>> ind = np.argsort(x, axis=1) # sorts along last axis (across)\n >>> ind\n array([[0, 1],\n [0, 1]])\n >>> np.take_along_axis(x, ind, axis=1) # same as np.sort(x, axis=1)\n array([[0, 3],\n [2, 2]])\n\n Indices of the sorted elements of a N-dimensional array:\n\n >>> ind = np.unravel_index(np.argsort(x, axis=None), x.shape)\n >>> ind\n (array([0, 1, 1, 0]), array([0, 0, 1, 1]))\n >>> x[ind] # same as np.sort(x, axis=None)\n array([0, 2, 2, 3])\n\n Sorting with keys:\n\n >>> x = np.array([(1, 0), (0, 1)], dtype=[('x', '>> x\n array([(1, 0), (0, 1)],\n dtype=[('x', '>> np.argsort(x, order=('x','y'))\n array([1, 0])\n\n >>> np.argsort(x, order=('y','x'))\n array([0, 1])\n\n \"\"\"\n return _wrapfunc(\n a, 'argsort', axis=axis, kind=kind, order=order, stable=stable\n )\n\ndef _argmax_dispatcher(a, axis=None, out=None, *, keepdims=np._NoValue):\n return (a, out)\n\n\n@array_function_dispatch(_argmax_dispatcher)\ndef argmax(a, axis=None, out=None, *, keepdims=np._NoValue):\n \"\"\"\n Returns the indices of the maximum values along an axis.\n\n Parameters\n ----------\n a : array_like\n Input array.\n axis : int, optional\n By default, the index is into the flattened array, otherwise\n along the specified axis.\n out : array, optional\n If provided, the result will be inserted into this array. It should\n be of the appropriate shape and dtype.\n keepdims : bool, optional\n If this is set to True, the axes which are reduced are left\n in the result as dimensions with size one. With this option,\n the result will broadcast correctly against the array.\n\n .. versionadded:: 1.22.0\n\n Returns\n -------\n index_array : ndarray of ints\n Array of indices into the array. It has the same shape as ``a.shape``\n with the dimension along `axis` removed. If `keepdims` is set to True,\n then the size of `axis` will be 1 with the resulting array having same\n shape as ``a.shape``.\n\n See Also\n --------\n ndarray.argmax, argmin\n amax : The maximum value along a given axis.\n unravel_index : Convert a flat index into an index tuple.\n take_along_axis : Apply ``np.expand_dims(index_array, axis)``\n from argmax to an array as if by calling max.\n\n Notes\n -----\n In case of multiple occurrences of the maximum values, the indices\n corresponding to the first occurrence are returned.\n\n Examples\n --------\n >>> import numpy as np\n >>> a = np.arange(6).reshape(2,3) + 10\n >>> a\n array([[10, 11, 12],\n [13, 14, 15]])\n >>> np.argmax(a)\n 5\n >>> np.argmax(a, axis=0)\n array([1, 1, 1])\n >>> np.argmax(a, axis=1)\n array([2, 2])\n\n Indexes of the maximal elements of a N-dimensional array:\n\n >>> a.flat[np.argmax(a)]\n 15\n >>> ind = np.unravel_index(np.argmax(a, axis=None), a.shape)\n >>> ind\n (1, 2)\n >>> a[ind]\n 15\n\n >>> b = np.arange(6)\n >>> b[1] = 5\n >>> b\n array([0, 5, 2, 3, 4, 5])\n >>> np.argmax(b) # Only the first occurrence is returned.\n 1\n\n >>> x = np.array([[4,2,3], [1,0,3]])\n >>> index_array = np.argmax(x, axis=-1)\n >>> # Same as np.amax(x, axis=-1, keepdims=True)\n >>> np.take_along_axis(x, np.expand_dims(index_array, axis=-1), axis=-1)\n array([[4],\n [3]])\n >>> # Same as np.amax(x, axis=-1)\n >>> np.take_along_axis(x, np.expand_dims(index_array, axis=-1),\n ... axis=-1).squeeze(axis=-1)\n array([4, 3])\n\n Setting `keepdims` to `True`,\n\n >>> x = np.arange(24).reshape((2, 3, 4))\n >>> res = np.argmax(x, axis=1, keepdims=True)\n >>> res.shape\n (2, 1, 4)\n \"\"\"\n kwds = {'keepdims': keepdims} if keepdims is not np._NoValue else {}\n return _wrapfunc(a, 'argmax', axis=axis, out=out, **kwds)\n\n\ndef _argmin_dispatcher(a, axis=None, out=None, *, keepdims=np._NoValue):\n return (a, out)\n\n\n@array_function_dispatch(_argmin_dispatcher)\ndef argmin(a, axis=None, out=None, *, keepdims=np._NoValue):\n \"\"\"\n Returns the indices of the minimum values along an axis.\n\n Parameters\n ----------\n a : array_like\n Input array.\n axis : int, optional\n By default, the index is into the flattened array, otherwise\n along the specified axis.\n out : array, optional\n If provided, the result will be inserted into this array. It should\n be of the appropriate shape and dtype.\n keepdims : bool, optional\n If this is set to True, the axes which are reduced are left\n in the result as dimensions with size one. With this option,\n the result will broadcast correctly against the array.\n\n .. versionadded:: 1.22.0\n\n Returns\n -------\n index_array : ndarray of ints\n Array of indices into the array. It has the same shape as `a.shape`\n with the dimension along `axis` removed. If `keepdims` is set to True,\n then the size of `axis` will be 1 with the resulting array having same\n shape as `a.shape`.\n\n See Also\n --------\n ndarray.argmin, argmax\n amin : The minimum value along a given axis.\n unravel_index : Convert a flat index into an index tuple.\n take_along_axis : Apply ``np.expand_dims(index_array, axis)``\n from argmin to an array as if by calling min.\n\n Notes\n -----\n In case of multiple occurrences of the minimum values, the indices\n corresponding to the first occurrence are returned.\n\n Examples\n --------\n >>> import numpy as np\n >>> a = np.arange(6).reshape(2,3) + 10\n >>> a\n array([[10, 11, 12],\n [13, 14, 15]])\n >>> np.argmin(a)\n 0\n >>> np.argmin(a, axis=0)\n array([0, 0, 0])\n >>> np.argmin(a, axis=1)\n array([0, 0])\n\n Indices of the minimum elements of a N-dimensional array:\n\n >>> a.flat[np.argmin(a)]\n 10\n >>> ind = np.unravel_index(np.argmin(a, axis=None), a.shape)\n >>> ind\n (0, 0)\n >>> a[ind]\n 10\n\n >>> b = np.arange(6) + 10\n >>> b[4] = 10\n >>> b\n array([10, 11, 12, 13, 10, 15])\n >>> np.argmin(b) # Only the first occurrence is returned.\n 0\n\n >>> x = np.array([[4,2,3], [1,0,3]])\n >>> index_array = np.argmin(x, axis=-1)\n >>> # Same as np.amin(x, axis=-1, keepdims=True)\n >>> np.take_along_axis(x, np.expand_dims(index_array, axis=-1), axis=-1)\n array([[2],\n [0]])\n >>> # Same as np.amax(x, axis=-1)\n >>> np.take_along_axis(x, np.expand_dims(index_array, axis=-1),\n ... axis=-1).squeeze(axis=-1)\n array([2, 0])\n\n Setting `keepdims` to `True`,\n\n >>> x = np.arange(24).reshape((2, 3, 4))\n >>> res = np.argmin(x, axis=1, keepdims=True)\n >>> res.shape\n (2, 1, 4)\n \"\"\"\n kwds = {'keepdims': keepdims} if keepdims is not np._NoValue else {}\n return _wrapfunc(a, 'argmin', axis=axis, out=out, **kwds)\n\n\ndef _searchsorted_dispatcher(a, v, side=None, sorter=None):\n return (a, v, sorter)\n\n\n@array_function_dispatch(_searchsorted_dispatcher)\ndef searchsorted(a, v, side='left', sorter=None):\n \"\"\"\n Find indices where elements should be inserted to maintain order.\n\n Find the indices into a sorted array `a` such that, if the\n corresponding elements in `v` were inserted before the indices, the\n order of `a` would be preserved.\n\n Assuming that `a` is sorted:\n\n ====== ============================\n `side` returned index `i` satisfies\n ====== ============================\n left ``a[i-1] < v <= a[i]``\n right ``a[i-1] <= v < a[i]``\n ====== ============================\n\n Parameters\n ----------\n a : 1-D array_like\n Input array. If `sorter` is None, then it must be sorted in\n ascending order, otherwise `sorter` must be an array of indices\n that sort it.\n v : array_like\n Values to insert into `a`.\n side : {'left', 'right'}, optional\n If 'left', the index of the first suitable location found is given.\n If 'right', return the last such index. If there is no suitable\n index, return either 0 or N (where N is the length of `a`).\n sorter : 1-D array_like, optional\n Optional array of integer indices that sort array a into ascending\n order. They are typically the result of argsort.\n\n Returns\n -------\n indices : int or array of ints\n Array of insertion points with the same shape as `v`,\n or an integer if `v` is a scalar.\n\n See Also\n --------\n sort : Return a sorted copy of an array.\n histogram : Produce histogram from 1-D data.\n\n Notes\n -----\n Binary search is used to find the required insertion points.\n\n As of NumPy 1.4.0 `searchsorted` works with real/complex arrays containing\n `nan` values. The enhanced sort order is documented in `sort`.\n\n This function uses the same algorithm as the builtin python\n `bisect.bisect_left` (``side='left'``) and `bisect.bisect_right`\n (``side='right'``) functions, which is also vectorized\n in the `v` argument.\n\n Examples\n --------\n >>> import numpy as np\n >>> np.searchsorted([11,12,13,14,15], 13)\n 2\n >>> np.searchsorted([11,12,13,14,15], 13, side='right')\n 3\n >>> np.searchsorted([11,12,13,14,15], [-10, 20, 12, 13])\n array([0, 5, 1, 2])\n\n When `sorter` is used, the returned indices refer to the sorted\n array of `a` and not `a` itself:\n\n >>> a = np.array([40, 10, 20, 30])\n >>> sorter = np.argsort(a)\n >>> sorter\n array([1, 2, 3, 0]) # Indices that would sort the array 'a'\n >>> result = np.searchsorted(a, 25, sorter=sorter)\n >>> result\n 2\n >>> a[sorter[result]]\n 30 # The element at index 2 of the sorted array is 30.\n \"\"\"\n return _wrapfunc(a, 'searchsorted', v, side=side, sorter=sorter)\n\n\ndef _resize_dispatcher(a, new_shape):\n return (a,)\n\n\n@array_function_dispatch(_resize_dispatcher)\ndef resize(a, new_shape):\n \"\"\"\n Return a new array with the specified shape.\n\n If the new array is larger than the original array, then the new\n array is filled with repeated copies of `a`. Note that this behavior\n is different from a.resize(new_shape) which fills with zeros instead\n of repeated copies of `a`.\n\n Parameters\n ----------\n a : array_like\n Array to be resized.\n\n new_shape : int or tuple of int\n Shape of resized array.\n\n Returns\n -------\n reshaped_array : ndarray\n The new array is formed from the data in the old array, repeated\n if necessary to fill out the required number of elements. The\n data are repeated iterating over the array in C-order.\n\n See Also\n --------\n numpy.reshape : Reshape an array without changing the total size.\n numpy.pad : Enlarge and pad an array.\n numpy.repeat : Repeat elements of an array.\n ndarray.resize : resize an array in-place.\n\n Notes\n -----\n When the total size of the array does not change `~numpy.reshape` should\n be used. In most other cases either indexing (to reduce the size)\n or padding (to increase the size) may be a more appropriate solution.\n\n Warning: This functionality does **not** consider axes separately,\n i.e. it does not apply interpolation/extrapolation.\n It fills the return array with the required number of elements, iterating\n over `a` in C-order, disregarding axes (and cycling back from the start if\n the new shape is larger). This functionality is therefore not suitable to\n resize images, or data where each axis represents a separate and distinct\n entity.\n\n Examples\n --------\n >>> import numpy as np\n >>> a = np.array([[0,1],[2,3]])\n >>> np.resize(a,(2,3))\n array([[0, 1, 2],\n [3, 0, 1]])\n >>> np.resize(a,(1,4))\n array([[0, 1, 2, 3]])\n >>> np.resize(a,(2,4))\n array([[0, 1, 2, 3],\n [0, 1, 2, 3]])\n\n \"\"\"\n if isinstance(new_shape, (int, nt.integer)):\n new_shape = (new_shape,)\n\n a = ravel(a)\n\n new_size = 1\n for dim_length in new_shape:\n new_size *= dim_length\n if dim_length < 0:\n raise ValueError(\n 'all elements of `new_shape` must be non-negative'\n )\n\n if a.size == 0 or new_size == 0:\n # First case must zero fill. The second would have repeats == 0.\n return np.zeros_like(a, shape=new_shape)\n\n # ceiling division without negating new_size\n repeats = (new_size + a.size - 1) // a.size\n a = concatenate((a,) * repeats)[:new_size]\n\n return reshape(a, new_shape)\n\n\ndef _squeeze_dispatcher(a, axis=None):\n return (a,)\n\n\n@array_function_dispatch(_squeeze_dispatcher)\ndef squeeze(a, axis=None):\n \"\"\"\n Remove axes of length one from `a`.\n\n Parameters\n ----------\n a : array_like\n Input data.\n axis : None or int or tuple of ints, optional\n Selects a subset of the entries of length one in the\n shape. If an axis is selected with shape entry greater than\n one, an error is raised.\n\n Returns\n -------\n squeezed : ndarray\n The input array, but with all or a subset of the\n dimensions of length 1 removed. This is always `a` itself\n or a view into `a`. Note that if all axes are squeezed,\n the result is a 0d array and not a scalar.\n\n Raises\n ------\n ValueError\n If `axis` is not None, and an axis being squeezed is not of length 1\n\n See Also\n --------\n expand_dims : The inverse operation, adding entries of length one\n reshape : Insert, remove, and combine dimensions, and resize existing ones\n\n Examples\n --------\n >>> import numpy as np\n >>> x = np.array([[[0], [1], [2]]])\n >>> x.shape\n (1, 3, 1)\n >>> np.squeeze(x).shape\n (3,)\n >>> np.squeeze(x, axis=0).shape\n (3, 1)\n >>> np.squeeze(x, axis=1).shape\n Traceback (most recent call last):\n ...\n ValueError: cannot select an axis to squeeze out which has size\n not equal to one\n >>> np.squeeze(x, axis=2).shape\n (1, 3)\n >>> x = np.array([[1234]])\n >>> x.shape\n (1, 1)\n >>> np.squeeze(x)\n array(1234) # 0d array\n >>> np.squeeze(x).shape\n ()\n >>> np.squeeze(x)[()]\n 1234\n\n \"\"\"\n try:\n squeeze = a.squeeze\n except AttributeError:\n return _wrapit(a, 'squeeze', axis=axis)\n if axis is None:\n return squeeze()\n else:\n return squeeze(axis=axis)\n\n\ndef _diagonal_dispatcher(a, offset=None, axis1=None, axis2=None):\n return (a,)\n\n\n@array_function_dispatch(_diagonal_dispatcher)\ndef diagonal(a, offset=0, axis1=0, axis2=1):\n \"\"\"\n Return specified diagonals.\n\n If `a` is 2-D, returns the diagonal of `a` with the given offset,\n i.e., the collection of elements of the form ``a[i, i+offset]``. If\n `a` has more than two dimensions, then the axes specified by `axis1`\n and `axis2` are used to determine the 2-D sub-array whose diagonal is\n returned. The shape of the resulting array can be determined by\n removing `axis1` and `axis2` and appending an index to the right equal\n to the size of the resulting diagonals.\n\n In versions of NumPy prior to 1.7, this function always returned a new,\n independent array containing a copy of the values in the diagonal.\n\n In NumPy 1.7 and 1.8, it continues to return a copy of the diagonal,\n but depending on this fact is deprecated. Writing to the resulting\n array continues to work as it used to, but a FutureWarning is issued.\n\n Starting in NumPy 1.9 it returns a read-only view on the original array.\n Attempting to write to the resulting array will produce an error.\n\n In some future release, it will return a read/write view and writing to\n the returned array will alter your original array. The returned array\n will have the same type as the input array.\n\n If you don't write to the array returned by this function, then you can\n just ignore all of the above.\n\n If you depend on the current behavior, then we suggest copying the\n returned array explicitly, i.e., use ``np.diagonal(a).copy()`` instead\n of just ``np.diagonal(a)``. This will work with both past and future\n versions of NumPy.\n\n Parameters\n ----------\n a : array_like\n Array from which the diagonals are taken.\n offset : int, optional\n Offset of the diagonal from the main diagonal. Can be positive or\n negative. Defaults to main diagonal (0).\n axis1 : int, optional\n Axis to be used as the first axis of the 2-D sub-arrays from which\n the diagonals should be taken. Defaults to first axis (0).\n axis2 : int, optional\n Axis to be used as the second axis of the 2-D sub-arrays from\n which the diagonals should be taken. Defaults to second axis (1).\n\n Returns\n -------\n array_of_diagonals : ndarray\n If `a` is 2-D, then a 1-D array containing the diagonal and of the\n same type as `a` is returned unless `a` is a `matrix`, in which case\n a 1-D array rather than a (2-D) `matrix` is returned in order to\n maintain backward compatibility.\n\n If ``a.ndim > 2``, then the dimensions specified by `axis1` and `axis2`\n are removed, and a new axis inserted at the end corresponding to the\n diagonal.\n\n Raises\n ------\n ValueError\n If the dimension of `a` is less than 2.\n\n See Also\n --------\n diag : MATLAB work-a-like for 1-D and 2-D arrays.\n diagflat : Create diagonal arrays.\n trace : Sum along diagonals.\n\n Examples\n --------\n >>> import numpy as np\n >>> a = np.arange(4).reshape(2,2)\n >>> a\n array([[0, 1],\n [2, 3]])\n >>> a.diagonal()\n array([0, 3])\n >>> a.diagonal(1)\n array([1])\n\n A 3-D example:\n\n >>> a = np.arange(8).reshape(2,2,2); a\n array([[[0, 1],\n [2, 3]],\n [[4, 5],\n [6, 7]]])\n >>> a.diagonal(0, # Main diagonals of two arrays created by skipping\n ... 0, # across the outer(left)-most axis last and\n ... 1) # the \"middle\" (row) axis first.\n array([[0, 6],\n [1, 7]])\n\n The sub-arrays whose main diagonals we just obtained; note that each\n corresponds to fixing the right-most (column) axis, and that the\n diagonals are \"packed\" in rows.\n\n >>> a[:,:,0] # main diagonal is [0 6]\n array([[0, 2],\n [4, 6]])\n >>> a[:,:,1] # main diagonal is [1 7]\n array([[1, 3],\n [5, 7]])\n\n The anti-diagonal can be obtained by reversing the order of elements\n using either `numpy.flipud` or `numpy.fliplr`.\n\n >>> a = np.arange(9).reshape(3, 3)\n >>> a\n array([[0, 1, 2],\n [3, 4, 5],\n [6, 7, 8]])\n >>> np.fliplr(a).diagonal() # Horizontal flip\n array([2, 4, 6])\n >>> np.flipud(a).diagonal() # Vertical flip\n array([6, 4, 2])\n\n Note that the order in which the diagonal is retrieved varies depending\n on the flip function.\n \"\"\"\n if isinstance(a, np.matrix):\n # Make diagonal of matrix 1-D to preserve backward compatibility.\n return asarray(a).diagonal(offset=offset, axis1=axis1, axis2=axis2)\n else:\n return asanyarray(a).diagonal(offset=offset, axis1=axis1, axis2=axis2)\n\n\ndef _trace_dispatcher(\n a, offset=None, axis1=None, axis2=None, dtype=None, out=None):\n return (a, out)\n\n\n@array_function_dispatch(_trace_dispatcher)\ndef trace(a, offset=0, axis1=0, axis2=1, dtype=None, out=None):\n \"\"\"\n Return the sum along diagonals of the array.\n\n If `a` is 2-D, the sum along its diagonal with the given offset\n is returned, i.e., the sum of elements ``a[i,i+offset]`` for all i.\n\n If `a` has more than two dimensions, then the axes specified by axis1 and\n axis2 are used to determine the 2-D sub-arrays whose traces are returned.\n The shape of the resulting array is the same as that of `a` with `axis1`\n and `axis2` removed.\n\n Parameters\n ----------\n a : array_like\n Input array, from which the diagonals are taken.\n offset : int, optional\n Offset of the diagonal from the main diagonal. Can be both positive\n and negative. Defaults to 0.\n axis1, axis2 : int, optional\n Axes to be used as the first and second axis of the 2-D sub-arrays\n from which the diagonals should be taken. Defaults are the first two\n axes of `a`.\n dtype : dtype, optional\n Determines the data-type of the returned array and of the accumulator\n where the elements are summed. If dtype has the value None and `a` is\n of integer type of precision less than the default integer\n precision, then the default integer precision is used. Otherwise,\n the precision is the same as that of `a`.\n out : ndarray, optional\n Array into which the output is placed. Its type is preserved and\n it must be of the right shape to hold the output.\n\n Returns\n -------\n sum_along_diagonals : ndarray\n If `a` is 2-D, the sum along the diagonal is returned. If `a` has\n larger dimensions, then an array of sums along diagonals is returned.\n\n See Also\n --------\n diag, diagonal, diagflat\n\n Examples\n --------\n >>> import numpy as np\n >>> np.trace(np.eye(3))\n 3.0\n >>> a = np.arange(8).reshape((2,2,2))\n >>> np.trace(a)\n array([6, 8])\n\n >>> a = np.arange(24).reshape((2,2,2,3))\n >>> np.trace(a).shape\n (2, 3)\n\n \"\"\"\n if isinstance(a, np.matrix):\n # Get trace of matrix via an array to preserve backward compatibility.\n return asarray(a).trace(\n offset=offset, axis1=axis1, axis2=axis2, dtype=dtype, out=out\n )\n else:\n return asanyarray(a).trace(\n offset=offset, axis1=axis1, axis2=axis2, dtype=dtype, out=out\n )\n\n\ndef _ravel_dispatcher(a, order=None):\n return (a,)\n\n\n@array_function_dispatch(_ravel_dispatcher)\ndef ravel(a, order='C'):\n \"\"\"Return a contiguous flattened array.\n\n A 1-D array, containing the elements of the input, is returned. A copy is\n made only if needed.\n\n As of NumPy 1.10, the returned array will have the same type as the input\n array. (for example, a masked array will be returned for a masked array\n input)\n\n Parameters\n ----------\n a : array_like\n Input array. The elements in `a` are read in the order specified by\n `order`, and packed as a 1-D array.\n order : {'C','F', 'A', 'K'}, optional\n\n The elements of `a` are read using this index order. 'C' means\n to index the elements in row-major, C-style order,\n with the last axis index changing fastest, back to the first\n axis index changing slowest. 'F' means to index the elements\n in column-major, Fortran-style order, with the\n first index changing fastest, and the last index changing\n slowest. Note that the 'C' and 'F' options take no account of\n the memory layout of the underlying array, and only refer to\n the order of axis indexing. 'A' means to read the elements in\n Fortran-like index order if `a` is Fortran *contiguous* in\n memory, C-like order otherwise. 'K' means to read the\n elements in the order they occur in memory, except for\n reversing the data when strides are negative. By default, 'C'\n index order is used.\n\n Returns\n -------\n y : array_like\n y is a contiguous 1-D array of the same subtype as `a`,\n with shape ``(a.size,)``.\n Note that matrices are special cased for backward compatibility,\n if `a` is a matrix, then y is a 1-D ndarray.\n\n See Also\n --------\n ndarray.flat : 1-D iterator over an array.\n ndarray.flatten : 1-D array copy of the elements of an array\n in row-major order.\n ndarray.reshape : Change the shape of an array without changing its data.\n\n Notes\n -----\n In row-major, C-style order, in two dimensions, the row index\n varies the slowest, and the column index the quickest. This can\n be generalized to multiple dimensions, where row-major order\n implies that the index along the first axis varies slowest, and\n the index along the last quickest. The opposite holds for\n column-major, Fortran-style index ordering.\n\n When a view is desired in as many cases as possible, ``arr.reshape(-1)``\n may be preferable. However, ``ravel`` supports ``K`` in the optional\n ``order`` argument while ``reshape`` does not.\n\n Examples\n --------\n It is equivalent to ``reshape(-1, order=order)``.\n\n >>> import numpy as np\n >>> x = np.array([[1, 2, 3], [4, 5, 6]])\n >>> np.ravel(x)\n array([1, 2, 3, 4, 5, 6])\n\n >>> x.reshape(-1)\n array([1, 2, 3, 4, 5, 6])\n\n >>> np.ravel(x, order='F')\n array([1, 4, 2, 5, 3, 6])\n\n When ``order`` is 'A', it will preserve the array's 'C' or 'F' ordering:\n\n >>> np.ravel(x.T)\n array([1, 4, 2, 5, 3, 6])\n >>> np.ravel(x.T, order='A')\n array([1, 2, 3, 4, 5, 6])\n\n When ``order`` is 'K', it will preserve orderings that are neither 'C'\n nor 'F', but won't reverse axes:\n\n >>> a = np.arange(3)[::-1]; a\n array([2, 1, 0])\n >>> a.ravel(order='C')\n array([2, 1, 0])\n >>> a.ravel(order='K')\n array([2, 1, 0])\n\n >>> a = np.arange(12).reshape(2,3,2).swapaxes(1,2); a\n array([[[ 0, 2, 4],\n [ 1, 3, 5]],\n [[ 6, 8, 10],\n [ 7, 9, 11]]])\n >>> a.ravel(order='C')\n array([ 0, 2, 4, 1, 3, 5, 6, 8, 10, 7, 9, 11])\n >>> a.ravel(order='K')\n array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11])\n\n \"\"\"\n if isinstance(a, np.matrix):\n return asarray(a).ravel(order=order)\n else:\n return asanyarray(a).ravel(order=order)\n\n\ndef _nonzero_dispatcher(a):\n return (a,)\n\n\n@array_function_dispatch(_nonzero_dispatcher)\ndef nonzero(a):\n \"\"\"\n Return the indices of the elements that are non-zero.\n\n Returns a tuple of arrays, one for each dimension of `a`,\n containing the indices of the non-zero elements in that\n dimension. The values in `a` are always tested and returned in\n row-major, C-style order.\n\n To group the indices by element, rather than dimension, use `argwhere`,\n which returns a row for each non-zero element.\n\n Parameters\n ----------\n a : array_like\n Input array.\n\n Returns\n -------\n tuple_of_arrays : tuple\n Indices of elements that are non-zero.\n\n See Also\n --------\n flatnonzero :\n Return indices that are non-zero in the flattened version of the input\n array.\n ndarray.nonzero :\n Equivalent ndarray method.\n count_nonzero :\n Counts the number of non-zero elements in the input array.\n\n Notes\n -----\n While the nonzero values can be obtained with ``a[nonzero(a)]``, it is\n recommended to use ``x[x.astype(bool)]`` or ``x[x != 0]`` instead, which\n will correctly handle 0-d arrays.\n\n Examples\n --------\n >>> import numpy as np\n >>> x = np.array([[3, 0, 0], [0, 4, 0], [5, 6, 0]])\n >>> x\n array([[3, 0, 0],\n [0, 4, 0],\n [5, 6, 0]])\n >>> np.nonzero(x)\n (array([0, 1, 2, 2]), array([0, 1, 0, 1]))\n\n >>> x[np.nonzero(x)]\n array([3, 4, 5, 6])\n >>> np.transpose(np.nonzero(x))\n array([[0, 0],\n [1, 1],\n [2, 0],\n [2, 1]])\n\n A common use for ``nonzero`` is to find the indices of an array, where\n a condition is True. Given an array `a`, the condition `a` > 3 is a\n boolean array and since False is interpreted as 0, np.nonzero(a > 3)\n yields the indices of the `a` where the condition is true.\n\n >>> a = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]])\n >>> a > 3\n array([[False, False, False],\n [ True, True, True],\n [ True, True, True]])\n >>> np.nonzero(a > 3)\n (array([1, 1, 1, 2, 2, 2]), array([0, 1, 2, 0, 1, 2]))\n\n Using this result to index `a` is equivalent to using the mask directly:\n\n >>> a[np.nonzero(a > 3)]\n array([4, 5, 6, 7, 8, 9])\n >>> a[a > 3] # prefer this spelling\n array([4, 5, 6, 7, 8, 9])\n\n ``nonzero`` can also be called as a method of the array.\n\n >>> (a > 3).nonzero()\n (array([1, 1, 1, 2, 2, 2]), array([0, 1, 2, 0, 1, 2]))\n\n \"\"\"\n return _wrapfunc(a, 'nonzero')\n\n\ndef _shape_dispatcher(a):\n return (a,)\n\n\n@array_function_dispatch(_shape_dispatcher)\ndef shape(a):\n \"\"\"\n Return the shape of an array.\n\n Parameters\n ----------\n a : array_like\n Input array.\n\n Returns\n -------\n shape : tuple of ints\n The elements of the shape tuple give the lengths of the\n corresponding array dimensions.\n\n See Also\n --------\n len : ``len(a)`` is equivalent to ``np.shape(a)[0]`` for N-D arrays with\n ``N>=1``.\n ndarray.shape : Equivalent array method.\n\n Examples\n --------\n >>> import numpy as np\n >>> np.shape(np.eye(3))\n (3, 3)\n >>> np.shape([[1, 3]])\n (1, 2)\n >>> np.shape([0])\n (1,)\n >>> np.shape(0)\n ()\n\n >>> a = np.array([(1, 2), (3, 4), (5, 6)],\n ... dtype=[('x', 'i4'), ('y', 'i4')])\n >>> np.shape(a)\n (3,)\n >>> a.shape\n (3,)\n\n \"\"\"\n try:\n result = a.shape\n except AttributeError:\n result = asarray(a).shape\n return result\n\n\ndef _compress_dispatcher(condition, a, axis=None, out=None):\n return (condition, a, out)\n\n\n@array_function_dispatch(_compress_dispatcher)\ndef compress(condition, a, axis=None, out=None):\n \"\"\"\n Return selected slices of an array along given axis.\n\n When working along a given axis, a slice along that axis is returned in\n `output` for each index where `condition` evaluates to True. When\n working on a 1-D array, `compress` is equivalent to `extract`.\n\n Parameters\n ----------\n condition : 1-D array of bools\n Array that selects which entries to return. If len(condition)\n is less than the size of `a` along the given axis, then output is\n truncated to the length of the condition array.\n a : array_like\n Array from which to extract a part.\n axis : int, optional\n Axis along which to take slices. If None (default), work on the\n flattened array.\n out : ndarray, optional\n Output array. Its type is preserved and it must be of the right\n shape to hold the output.\n\n Returns\n -------\n compressed_array : ndarray\n A copy of `a` without the slices along axis for which `condition`\n is false.\n\n See Also\n --------\n take, choose, diag, diagonal, select\n ndarray.compress : Equivalent method in ndarray\n extract : Equivalent method when working on 1-D arrays\n :ref:`ufuncs-output-type`\n\n Examples\n --------\n >>> import numpy as np\n >>> a = np.array([[1, 2], [3, 4], [5, 6]])\n >>> a\n array([[1, 2],\n [3, 4],\n [5, 6]])\n >>> np.compress([0, 1], a, axis=0)\n array([[3, 4]])\n >>> np.compress([False, True, True], a, axis=0)\n array([[3, 4],\n [5, 6]])\n >>> np.compress([False, True], a, axis=1)\n array([[2],\n [4],\n [6]])\n\n Working on the flattened array does not return slices along an axis but\n selects elements.\n\n >>> np.compress([False, True], a)\n array([2])\n\n \"\"\"\n return _wrapfunc(a, 'compress', condition, axis=axis, out=out)\n\n\ndef _clip_dispatcher(a, a_min=None, a_max=None, out=None, *, min=None,\n max=None, **kwargs):\n return (a, a_min, a_max, out, min, max)\n\n\n@array_function_dispatch(_clip_dispatcher)\ndef clip(a, a_min=np._NoValue, a_max=np._NoValue, out=None, *,\n min=np._NoValue, max=np._NoValue, **kwargs):\n \"\"\"\n Clip (limit) the values in an array.\n\n Given an interval, values outside the interval are clipped to\n the interval edges. For example, if an interval of ``[0, 1]``\n is specified, values smaller than 0 become 0, and values larger\n than 1 become 1.\n\n Equivalent to but faster than ``np.minimum(a_max, np.maximum(a, a_min))``.\n\n No check is performed to ensure ``a_min < a_max``.\n\n Parameters\n ----------\n a : array_like\n Array containing elements to clip.\n a_min, a_max : array_like or None\n Minimum and maximum value. If ``None``, clipping is not performed on\n the corresponding edge. If both ``a_min`` and ``a_max`` are ``None``,\n the elements of the returned array stay the same. Both are broadcasted\n against ``a``.\n out : ndarray, optional\n The results will be placed in this array. It may be the input\n array for in-place clipping. `out` must be of the right shape\n to hold the output. Its type is preserved.\n min, max : array_like or None\n Array API compatible alternatives for ``a_min`` and ``a_max``\n arguments. Either ``a_min`` and ``a_max`` or ``min`` and ``max``\n can be passed at the same time. Default: ``None``.\n\n .. versionadded:: 2.1.0\n **kwargs\n For other keyword-only arguments, see the\n :ref:`ufunc docs `.\n\n Returns\n -------\n clipped_array : ndarray\n An array with the elements of `a`, but where values\n < `a_min` are replaced with `a_min`, and those > `a_max`\n with `a_max`.\n\n See Also\n --------\n :ref:`ufuncs-output-type`\n\n Notes\n -----\n When `a_min` is greater than `a_max`, `clip` returns an\n array in which all values are equal to `a_max`,\n as shown in the second example.\n\n Examples\n --------\n >>> import numpy as np\n >>> a = np.arange(10)\n >>> a\n array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])\n >>> np.clip(a, 1, 8)\n array([1, 1, 2, 3, 4, 5, 6, 7, 8, 8])\n >>> np.clip(a, 8, 1)\n array([1, 1, 1, 1, 1, 1, 1, 1, 1, 1])\n >>> np.clip(a, 3, 6, out=a)\n array([3, 3, 3, 3, 4, 5, 6, 6, 6, 6])\n >>> a\n array([3, 3, 3, 3, 4, 5, 6, 6, 6, 6])\n >>> a = np.arange(10)\n >>> a\n array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])\n >>> np.clip(a, [3, 4, 1, 1, 1, 4, 4, 4, 4, 4], 8)\n array([3, 4, 2, 3, 4, 5, 6, 7, 8, 8])\n\n \"\"\"\n if a_min is np._NoValue and a_max is np._NoValue:\n a_min = None if min is np._NoValue else min\n a_max = None if max is np._NoValue else max\n elif a_min is np._NoValue:\n raise TypeError(\"clip() missing 1 required positional \"\n \"argument: 'a_min'\")\n elif a_max is np._NoValue:\n raise TypeError(\"clip() missing 1 required positional \"\n \"argument: 'a_max'\")\n elif min is not np._NoValue or max is not np._NoValue:\n raise ValueError(\"Passing `min` or `max` keyword argument when \"\n \"`a_min` and `a_max` are provided is forbidden.\")\n\n return _wrapfunc(a, 'clip', a_min, a_max, out=out, **kwargs)\n\n\ndef _sum_dispatcher(a, axis=None, dtype=None, out=None, keepdims=None,\n initial=None, where=None):\n return (a, out)\n\n\n@array_function_dispatch(_sum_dispatcher)\ndef sum(a, axis=None, dtype=None, out=None, keepdims=np._NoValue,\n initial=np._NoValue, where=np._NoValue):\n \"\"\"\n Sum of array elements over a given axis.\n\n Parameters\n ----------\n a : array_like\n Elements to sum.\n axis : None or int or tuple of ints, optional\n Axis or axes along which a sum is performed. The default,\n axis=None, will sum all of the elements of the input array. If\n axis is negative it counts from the last to the first axis. If\n axis is a tuple of ints, a sum is performed on all of the axes\n specified in the tuple instead of a single axis or all the axes as\n before.\n dtype : dtype, optional\n The type of the returned array and of the accumulator in which the\n elements are summed. The dtype of `a` is used by default unless `a`\n has an integer dtype of less precision than the default platform\n integer. In that case, if `a` is signed then the platform integer\n is used while if `a` is unsigned then an unsigned integer of the\n same precision as the platform integer is used.\n out : ndarray, optional\n Alternative output array in which to place the result. It must have\n the same shape as the expected output, but the type of the output\n values will be cast if necessary.\n keepdims : bool, optional\n If this is set to True, the axes which are reduced are left\n in the result as dimensions with size one. With this option,\n the result will broadcast correctly against the input array.\n\n If the default value is passed, then `keepdims` will not be\n passed through to the `sum` method of sub-classes of\n `ndarray`, however any non-default value will be. If the\n sub-class' method does not implement `keepdims` any\n exceptions will be raised.\n initial : scalar, optional\n Starting value for the sum. See `~numpy.ufunc.reduce` for details.\n where : array_like of bool, optional\n Elements to include in the sum. See `~numpy.ufunc.reduce` for details.\n\n Returns\n -------\n sum_along_axis : ndarray\n An array with the same shape as `a`, with the specified\n axis removed. If `a` is a 0-d array, or if `axis` is None, a scalar\n is returned. If an output array is specified, a reference to\n `out` is returned.\n\n See Also\n --------\n ndarray.sum : Equivalent method.\n add: ``numpy.add.reduce`` equivalent function.\n cumsum : Cumulative sum of array elements.\n trapezoid : Integration of array values using composite trapezoidal rule.\n\n mean, average\n\n Notes\n -----\n Arithmetic is modular when using integer types, and no error is\n raised on overflow.\n\n The sum of an empty array is the neutral element 0:\n\n >>> np.sum([])\n 0.0\n\n For floating point numbers the numerical precision of sum (and\n ``np.add.reduce``) is in general limited by directly adding each number\n individually to the result causing rounding errors in every step.\n However, often numpy will use a numerically better approach (partial\n pairwise summation) leading to improved precision in many use-cases.\n This improved precision is always provided when no ``axis`` is given.\n When ``axis`` is given, it will depend on which axis is summed.\n Technically, to provide the best speed possible, the improved precision\n is only used when the summation is along the fast axis in memory.\n Note that the exact precision may vary depending on other parameters.\n In contrast to NumPy, Python's ``math.fsum`` function uses a slower but\n more precise approach to summation.\n Especially when summing a large number of lower precision floating point\n numbers, such as ``float32``, numerical errors can become significant.\n In such cases it can be advisable to use `dtype=\"float64\"` to use a higher\n precision for the output.\n\n Examples\n --------\n >>> import numpy as np\n >>> np.sum([0.5, 1.5])\n 2.0\n >>> np.sum([0.5, 0.7, 0.2, 1.5], dtype=np.int32)\n np.int32(1)\n >>> np.sum([[0, 1], [0, 5]])\n 6\n >>> np.sum([[0, 1], [0, 5]], axis=0)\n array([0, 6])\n >>> np.sum([[0, 1], [0, 5]], axis=1)\n array([1, 5])\n >>> np.sum([[0, 1], [np.nan, 5]], where=[False, True], axis=1)\n array([1., 5.])\n\n If the accumulator is too small, overflow occurs:\n\n >>> np.ones(128, dtype=np.int8).sum(dtype=np.int8)\n np.int8(-128)\n\n You can also start the sum with a value other than zero:\n\n >>> np.sum([10], initial=5)\n 15\n \"\"\"\n if isinstance(a, _gentype):\n # 2018-02-25, 1.15.0\n raise TypeError(\n \"Calling np.sum(generator) is deprecated.\"\n \"Use np.sum(np.fromiter(generator)) or \"\n \"the python sum builtin instead.\",\n )\n\n return _wrapreduction(\n a, np.add, 'sum', axis, dtype, out,\n keepdims=keepdims, initial=initial, where=where\n )\n\n\ndef _any_dispatcher(a, axis=None, out=None, keepdims=None, *,\n where=np._NoValue):\n return (a, where, out)\n\n\n@array_function_dispatch(_any_dispatcher)\ndef any(a, axis=None, out=None, keepdims=np._NoValue, *, where=np._NoValue):\n \"\"\"\n Test whether any array element along a given axis evaluates to True.\n\n Returns single boolean if `axis` is ``None``\n\n Parameters\n ----------\n a : array_like\n Input array or object that can be converted to an array.\n axis : None or int or tuple of ints, optional\n Axis or axes along which a logical OR reduction is performed.\n The default (``axis=None``) is to perform a logical OR over all\n the dimensions of the input array. `axis` may be negative, in\n which case it counts from the last to the first axis. If this\n is a tuple of ints, a reduction is performed on multiple\n axes, instead of a single axis or all the axes as before.\n out : ndarray, optional\n Alternate output array in which to place the result. It must have\n the same shape as the expected output and its type is preserved\n (e.g., if it is of type float, then it will remain so, returning\n 1.0 for True and 0.0 for False, regardless of the type of `a`).\n See :ref:`ufuncs-output-type` for more details.\n\n keepdims : bool, optional\n If this is set to True, the axes which are reduced are left\n in the result as dimensions with size one. With this option,\n the result will broadcast correctly against the input array.\n\n If the default value is passed, then `keepdims` will not be\n passed through to the `any` method of sub-classes of\n `ndarray`, however any non-default value will be. If the\n sub-class' method does not implement `keepdims` any\n exceptions will be raised.\n\n where : array_like of bool, optional\n Elements to include in checking for any `True` values.\n See `~numpy.ufunc.reduce` for details.\n\n .. versionadded:: 1.20.0\n\n Returns\n -------\n any : bool or ndarray\n A new boolean or `ndarray` is returned unless `out` is specified,\n in which case a reference to `out` is returned.\n\n See Also\n --------\n ndarray.any : equivalent method\n\n all : Test whether all elements along a given axis evaluate to True.\n\n Notes\n -----\n Not a Number (NaN), positive infinity and negative infinity evaluate\n to `True` because these are not equal to zero.\n\n .. versionchanged:: 2.0\n Before NumPy 2.0, ``any`` did not return booleans for object dtype\n input arrays.\n This behavior is still available via ``np.logical_or.reduce``.\n\n Examples\n --------\n >>> import numpy as np\n >>> np.any([[True, False], [True, True]])\n True\n\n >>> np.any([[True, False, True ],\n ... [False, False, False]], axis=0)\n array([ True, False, True])\n\n >>> np.any([-1, 0, 5])\n True\n\n >>> np.any([[np.nan], [np.inf]], axis=1, keepdims=True)\n array([[ True],\n [ True]])\n\n >>> np.any([[True, False], [False, False]], where=[[False], [True]])\n False\n\n >>> a = np.array([[1, 0, 0],\n ... [0, 0, 1],\n ... [0, 0, 0]])\n >>> np.any(a, axis=0)\n array([ True, False, True])\n >>> np.any(a, axis=1)\n array([ True, True, False])\n\n >>> o=np.array(False)\n >>> z=np.any([-1, 4, 5], out=o)\n >>> z, o\n (array(True), array(True))\n >>> # Check now that z is a reference to o\n >>> z is o\n True\n >>> id(z), id(o) # identity of z and o # doctest: +SKIP\n (191614240, 191614240)\n\n \"\"\"\n return _wrapreduction_any_all(a, np.logical_or, 'any', axis, out,\n keepdims=keepdims, where=where)\n\n\ndef _all_dispatcher(a, axis=None, out=None, keepdims=None, *,\n where=None):\n return (a, where, out)\n\n\n@array_function_dispatch(_all_dispatcher)\ndef all(a, axis=None, out=None, keepdims=np._NoValue, *, where=np._NoValue):\n \"\"\"\n Test whether all array elements along a given axis evaluate to True.\n\n Parameters\n ----------\n a : array_like\n Input array or object that can be converted to an array.\n axis : None or int or tuple of ints, optional\n Axis or axes along which a logical AND reduction is performed.\n The default (``axis=None``) is to perform a logical AND over all\n the dimensions of the input array. `axis` may be negative, in\n which case it counts from the last to the first axis. If this\n is a tuple of ints, a reduction is performed on multiple\n axes, instead of a single axis or all the axes as before.\n out : ndarray, optional\n Alternate output array in which to place the result.\n It must have the same shape as the expected output and its\n type is preserved (e.g., if ``dtype(out)`` is float, the result\n will consist of 0.0's and 1.0's). See :ref:`ufuncs-output-type`\n for more details.\n\n keepdims : bool, optional\n If this is set to True, the axes which are reduced are left\n in the result as dimensions with size one. With this option,\n the result will broadcast correctly against the input array.\n\n If the default value is passed, then `keepdims` will not be\n passed through to the `all` method of sub-classes of\n `ndarray`, however any non-default value will be. If the\n sub-class' method does not implement `keepdims` any\n exceptions will be raised.\n\n where : array_like of bool, optional\n Elements to include in checking for all `True` values.\n See `~numpy.ufunc.reduce` for details.\n\n .. versionadded:: 1.20.0\n\n Returns\n -------\n all : ndarray, bool\n A new boolean or array is returned unless `out` is specified,\n in which case a reference to `out` is returned.\n\n See Also\n --------\n ndarray.all : equivalent method\n\n any : Test whether any element along a given axis evaluates to True.\n\n Notes\n -----\n Not a Number (NaN), positive infinity and negative infinity\n evaluate to `True` because these are not equal to zero.\n\n .. versionchanged:: 2.0\n Before NumPy 2.0, ``all`` did not return booleans for object dtype\n input arrays.\n This behavior is still available via ``np.logical_and.reduce``.\n\n Examples\n --------\n >>> import numpy as np\n >>> np.all([[True,False],[True,True]])\n False\n\n >>> np.all([[True,False],[True,True]], axis=0)\n array([ True, False])\n\n >>> np.all([-1, 4, 5])\n True\n\n >>> np.all([1.0, np.nan])\n True\n\n >>> np.all([[True, True], [False, True]], where=[[True], [False]])\n True\n\n >>> o=np.array(False)\n >>> z=np.all([-1, 4, 5], out=o)\n >>> id(z), id(o), z\n (28293632, 28293632, array(True)) # may vary\n\n \"\"\"\n return _wrapreduction_any_all(a, np.logical_and, 'all', axis, out,\n keepdims=keepdims, where=where)\n\n\ndef _cumulative_func(x, func, axis, dtype, out, include_initial):\n x = np.atleast_1d(x)\n x_ndim = x.ndim\n if axis is None:\n if x_ndim >= 2:\n raise ValueError(\"For arrays which have more than one dimension \"\n \"``axis`` argument is required.\")\n axis = 0\n\n if out is not None and include_initial:\n item = [slice(None)] * x_ndim\n item[axis] = slice(1, None)\n func.accumulate(x, axis=axis, dtype=dtype, out=out[tuple(item)])\n item[axis] = 0\n out[tuple(item)] = func.identity\n return out\n\n res = func.accumulate(x, axis=axis, dtype=dtype, out=out)\n if include_initial:\n initial_shape = list(x.shape)\n initial_shape[axis] = 1\n res = np.concat(\n [np.full_like(res, func.identity, shape=initial_shape), res],\n axis=axis,\n )\n\n return res\n\n\ndef _cumulative_prod_dispatcher(x, /, *, axis=None, dtype=None, out=None,\n include_initial=None):\n return (x, out)\n\n\n@array_function_dispatch(_cumulative_prod_dispatcher)\ndef cumulative_prod(x, /, *, axis=None, dtype=None, out=None,\n include_initial=False):\n \"\"\"\n Return the cumulative product of elements along a given axis.\n\n This function is an Array API compatible alternative to `numpy.cumprod`.\n\n Parameters\n ----------\n x : array_like\n Input array.\n axis : int, optional\n Axis along which the cumulative product is computed. The default\n (None) is only allowed for one-dimensional arrays. For arrays\n with more than one dimension ``axis`` is required.\n dtype : dtype, optional\n Type of the returned array, as well as of the accumulator in which\n the elements are multiplied. If ``dtype`` is not specified, it\n defaults to the dtype of ``x``, unless ``x`` has an integer dtype\n with a precision less than that of the default platform integer.\n In that case, the default platform integer is used instead.\n out : ndarray, optional\n Alternative output array in which to place the result. It must\n have the same shape and buffer length as the expected output\n but the type of the resulting values will be cast if necessary.\n See :ref:`ufuncs-output-type` for more details.\n include_initial : bool, optional\n Boolean indicating whether to include the initial value (ones) as\n the first value in the output. With ``include_initial=True``\n the shape of the output is different than the shape of the input.\n Default: ``False``.\n\n Returns\n -------\n cumulative_prod_along_axis : ndarray\n A new array holding the result is returned unless ``out`` is\n specified, in which case a reference to ``out`` is returned. The\n result has the same shape as ``x`` if ``include_initial=False``.\n\n Notes\n -----\n Arithmetic is modular when using integer types, and no error is\n raised on overflow.\n\n Examples\n --------\n >>> a = np.array([1, 2, 3])\n >>> np.cumulative_prod(a) # intermediate results 1, 1*2\n ... # total product 1*2*3 = 6\n array([1, 2, 6])\n >>> a = np.array([1, 2, 3, 4, 5, 6])\n >>> np.cumulative_prod(a, dtype=float) # specify type of output\n array([ 1., 2., 6., 24., 120., 720.])\n\n The cumulative product for each column (i.e., over the rows) of ``b``:\n\n >>> b = np.array([[1, 2, 3], [4, 5, 6]])\n >>> np.cumulative_prod(b, axis=0)\n array([[ 1, 2, 3],\n [ 4, 10, 18]])\n\n The cumulative product for each row (i.e. over the columns) of ``b``:\n\n >>> np.cumulative_prod(b, axis=1)\n array([[ 1, 2, 6],\n [ 4, 20, 120]])\n\n \"\"\"\n return _cumulative_func(x, um.multiply, axis, dtype, out, include_initial)\n\n\ndef _cumulative_sum_dispatcher(x, /, *, axis=None, dtype=None, out=None,\n include_initial=None):\n return (x, out)\n\n\n@array_function_dispatch(_cumulative_sum_dispatcher)\ndef cumulative_sum(x, /, *, axis=None, dtype=None, out=None,\n include_initial=False):\n \"\"\"\n Return the cumulative sum of the elements along a given axis.\n\n This function is an Array API compatible alternative to `numpy.cumsum`.\n\n Parameters\n ----------\n x : array_like\n Input array.\n axis : int, optional\n Axis along which the cumulative sum is computed. The default\n (None) is only allowed for one-dimensional arrays. For arrays\n with more than one dimension ``axis`` is required.\n dtype : dtype, optional\n Type of the returned array and of the accumulator in which the\n elements are summed. If ``dtype`` is not specified, it defaults\n to the dtype of ``x``, unless ``x`` has an integer dtype with\n a precision less than that of the default platform integer.\n In that case, the default platform integer is used.\n out : ndarray, optional\n Alternative output array in which to place the result. It must\n have the same shape and buffer length as the expected output\n but the type will be cast if necessary. See :ref:`ufuncs-output-type`\n for more details.\n include_initial : bool, optional\n Boolean indicating whether to include the initial value (zeros) as\n the first value in the output. With ``include_initial=True``\n the shape of the output is different than the shape of the input.\n Default: ``False``.\n\n Returns\n -------\n cumulative_sum_along_axis : ndarray\n A new array holding the result is returned unless ``out`` is\n specified, in which case a reference to ``out`` is returned. The\n result has the same shape as ``x`` if ``include_initial=False``.\n\n See Also\n --------\n sum : Sum array elements.\n trapezoid : Integration of array values using composite trapezoidal rule.\n diff : Calculate the n-th discrete difference along given axis.\n\n Notes\n -----\n Arithmetic is modular when using integer types, and no error is\n raised on overflow.\n\n ``cumulative_sum(a)[-1]`` may not be equal to ``sum(a)`` for\n floating-point values since ``sum`` may use a pairwise summation routine,\n reducing the roundoff-error. See `sum` for more information.\n\n Examples\n --------\n >>> a = np.array([1, 2, 3, 4, 5, 6])\n >>> a\n array([1, 2, 3, 4, 5, 6])\n >>> np.cumulative_sum(a)\n array([ 1, 3, 6, 10, 15, 21])\n >>> np.cumulative_sum(a, dtype=float) # specifies type of output value(s)\n array([ 1., 3., 6., 10., 15., 21.])\n\n >>> b = np.array([[1, 2, 3], [4, 5, 6]])\n >>> np.cumulative_sum(b,axis=0) # sum over rows for each of the 3 columns\n array([[1, 2, 3],\n [5, 7, 9]])\n >>> np.cumulative_sum(b,axis=1) # sum over columns for each of the 2 rows\n array([[ 1, 3, 6],\n [ 4, 9, 15]])\n\n ``cumulative_sum(c)[-1]`` may not be equal to ``sum(c)``\n\n >>> c = np.array([1, 2e-9, 3e-9] * 1000000)\n >>> np.cumulative_sum(c)[-1]\n 1000000.0050045159\n >>> c.sum()\n 1000000.0050000029\n\n \"\"\"\n return _cumulative_func(x, um.add, axis, dtype, out, include_initial)\n\n\ndef _cumsum_dispatcher(a, axis=None, dtype=None, out=None):\n return (a, out)\n\n\n@array_function_dispatch(_cumsum_dispatcher)\ndef cumsum(a, axis=None, dtype=None, out=None):\n \"\"\"\n Return the cumulative sum of the elements along a given axis.\n\n Parameters\n ----------\n a : array_like\n Input array.\n axis : int, optional\n Axis along which the cumulative sum is computed. The default\n (None) is to compute the cumsum over the flattened array.\n dtype : dtype, optional\n Type of the returned array and of the accumulator in which the\n elements are summed. If `dtype` is not specified, it defaults\n to the dtype of `a`, unless `a` has an integer dtype with a\n precision less than that of the default platform integer. In\n that case, the default platform integer is used.\n out : ndarray, optional\n Alternative output array in which to place the result. It must\n have the same shape and buffer length as the expected output\n but the type will be cast if necessary. See :ref:`ufuncs-output-type`\n for more details.\n\n Returns\n -------\n cumsum_along_axis : ndarray.\n A new array holding the result is returned unless `out` is\n specified, in which case a reference to `out` is returned. The\n result has the same size as `a`, and the same shape as `a` if\n `axis` is not None or `a` is a 1-d array.\n\n See Also\n --------\n cumulative_sum : Array API compatible alternative for ``cumsum``.\n sum : Sum array elements.\n trapezoid : Integration of array values using composite trapezoidal rule.\n diff : Calculate the n-th discrete difference along given axis.\n\n Notes\n -----\n Arithmetic is modular when using integer types, and no error is\n raised on overflow.\n\n ``cumsum(a)[-1]`` may not be equal to ``sum(a)`` for floating-point\n values since ``sum`` may use a pairwise summation routine, reducing\n the roundoff-error. See `sum` for more information.\n\n Examples\n --------\n >>> import numpy as np\n >>> a = np.array([[1,2,3], [4,5,6]])\n >>> a\n array([[1, 2, 3],\n [4, 5, 6]])\n >>> np.cumsum(a)\n array([ 1, 3, 6, 10, 15, 21])\n >>> np.cumsum(a, dtype=float) # specifies type of output value(s)\n array([ 1., 3., 6., 10., 15., 21.])\n\n >>> np.cumsum(a,axis=0) # sum over rows for each of the 3 columns\n array([[1, 2, 3],\n [5, 7, 9]])\n >>> np.cumsum(a,axis=1) # sum over columns for each of the 2 rows\n array([[ 1, 3, 6],\n [ 4, 9, 15]])\n\n ``cumsum(b)[-1]`` may not be equal to ``sum(b)``\n\n >>> b = np.array([1, 2e-9, 3e-9] * 1000000)\n >>> b.cumsum()[-1]\n 1000000.0050045159\n >>> b.sum()\n 1000000.0050000029\n\n \"\"\"\n return _wrapfunc(a, 'cumsum', axis=axis, dtype=dtype, out=out)\n\n\ndef _ptp_dispatcher(a, axis=None, out=None, keepdims=None):\n return (a, out)\n\n\n@array_function_dispatch(_ptp_dispatcher)\ndef ptp(a, axis=None, out=None, keepdims=np._NoValue):\n \"\"\"\n Range of values (maximum - minimum) along an axis.\n\n The name of the function comes from the acronym for 'peak to peak'.\n\n .. warning::\n `ptp` preserves the data type of the array. This means the\n return value for an input of signed integers with n bits\n (e.g. `numpy.int8`, `numpy.int16`, etc) is also a signed integer\n with n bits. In that case, peak-to-peak values greater than\n ``2**(n-1)-1`` will be returned as negative values. An example\n with a work-around is shown below.\n\n Parameters\n ----------\n a : array_like\n Input values.\n axis : None or int or tuple of ints, optional\n Axis along which to find the peaks. By default, flatten the\n array. `axis` may be negative, in\n which case it counts from the last to the first axis.\n If this is a tuple of ints, a reduction is performed on multiple\n axes, instead of a single axis or all the axes as before.\n out : array_like\n Alternative output array in which to place the result. It must\n have the same shape and buffer length as the expected output,\n but the type of the output values will be cast if necessary.\n\n keepdims : bool, optional\n If this is set to True, the axes which are reduced are left\n in the result as dimensions with size one. With this option,\n the result will broadcast correctly against the input array.\n\n If the default value is passed, then `keepdims` will not be\n passed through to the `ptp` method of sub-classes of\n `ndarray`, however any non-default value will be. If the\n sub-class' method does not implement `keepdims` any\n exceptions will be raised.\n\n Returns\n -------\n ptp : ndarray or scalar\n The range of a given array - `scalar` if array is one-dimensional\n or a new array holding the result along the given axis\n\n Examples\n --------\n >>> import numpy as np\n >>> x = np.array([[4, 9, 2, 10],\n ... [6, 9, 7, 12]])\n\n >>> np.ptp(x, axis=1)\n array([8, 6])\n\n >>> np.ptp(x, axis=0)\n array([2, 0, 5, 2])\n\n >>> np.ptp(x)\n 10\n\n This example shows that a negative value can be returned when\n the input is an array of signed integers.\n\n >>> y = np.array([[1, 127],\n ... [0, 127],\n ... [-1, 127],\n ... [-2, 127]], dtype=np.int8)\n >>> np.ptp(y, axis=1)\n array([ 126, 127, -128, -127], dtype=int8)\n\n A work-around is to use the `view()` method to view the result as\n unsigned integers with the same bit width:\n\n >>> np.ptp(y, axis=1).view(np.uint8)\n array([126, 127, 128, 129], dtype=uint8)\n\n \"\"\"\n kwargs = {}\n if keepdims is not np._NoValue:\n kwargs['keepdims'] = keepdims\n return _methods._ptp(a, axis=axis, out=out, **kwargs)\n\n\ndef _max_dispatcher(a, axis=None, out=None, keepdims=None, initial=None,\n where=None):\n return (a, out)\n\n\n@array_function_dispatch(_max_dispatcher)\n@set_module('numpy')\ndef max(a, axis=None, out=None, keepdims=np._NoValue, initial=np._NoValue,\n where=np._NoValue):\n \"\"\"\n Return the maximum of an array or maximum along an axis.\n\n Parameters\n ----------\n a : array_like\n Input data.\n axis : None or int or tuple of ints, optional\n Axis or axes along which to operate. By default, flattened input is\n used. If this is a tuple of ints, the maximum is selected over\n multiple axes, instead of a single axis or all the axes as before.\n\n out : ndarray, optional\n Alternative output array in which to place the result. Must\n be of the same shape and buffer length as the expected output.\n See :ref:`ufuncs-output-type` for more details.\n\n keepdims : bool, optional\n If this is set to True, the axes which are reduced are left\n in the result as dimensions with size one. With this option,\n the result will broadcast correctly against the input array.\n\n If the default value is passed, then `keepdims` will not be\n passed through to the ``max`` method of sub-classes of\n `ndarray`, however any non-default value will be. If the\n sub-class' method does not implement `keepdims` any\n exceptions will be raised.\n\n initial : scalar, optional\n The minimum value of an output element. Must be present to allow\n computation on empty slice. See `~numpy.ufunc.reduce` for details.\n\n where : array_like of bool, optional\n Elements to compare for the maximum. See `~numpy.ufunc.reduce`\n for details.\n\n Returns\n -------\n max : ndarray or scalar\n Maximum of `a`. If `axis` is None, the result is a scalar value.\n If `axis` is an int, the result is an array of dimension\n ``a.ndim - 1``. If `axis` is a tuple, the result is an array of\n dimension ``a.ndim - len(axis)``.\n\n See Also\n --------\n amin :\n The minimum value of an array along a given axis, propagating any NaNs.\n nanmax :\n The maximum value of an array along a given axis, ignoring any NaNs.\n maximum :\n Element-wise maximum of two arrays, propagating any NaNs.\n fmax :\n Element-wise maximum of two arrays, ignoring any NaNs.\n argmax :\n Return the indices of the maximum values.\n\n nanmin, minimum, fmin\n\n Notes\n -----\n NaN values are propagated, that is if at least one item is NaN, the\n corresponding max value will be NaN as well. To ignore NaN values\n (MATLAB behavior), please use nanmax.\n\n Don't use `~numpy.max` for element-wise comparison of 2 arrays; when\n ``a.shape[0]`` is 2, ``maximum(a[0], a[1])`` is faster than\n ``max(a, axis=0)``.\n\n Examples\n --------\n >>> import numpy as np\n >>> a = np.arange(4).reshape((2,2))\n >>> a\n array([[0, 1],\n [2, 3]])\n >>> np.max(a) # Maximum of the flattened array\n 3\n >>> np.max(a, axis=0) # Maxima along the first axis\n array([2, 3])\n >>> np.max(a, axis=1) # Maxima along the second axis\n array([1, 3])\n >>> np.max(a, where=[False, True], initial=-1, axis=0)\n array([-1, 3])\n >>> b = np.arange(5, dtype=float)\n >>> b[2] = np.nan\n >>> np.max(b)\n np.float64(nan)\n >>> np.max(b, where=~np.isnan(b), initial=-1)\n 4.0\n >>> np.nanmax(b)\n 4.0\n\n You can use an initial value to compute the maximum of an empty slice, or\n to initialize it to a different value:\n\n >>> np.max([[-50], [10]], axis=-1, initial=0)\n array([ 0, 10])\n\n Notice that the initial value is used as one of the elements for which the\n maximum is determined, unlike for the default argument Python's max\n function, which is only used for empty iterables.\n\n >>> np.max([5], initial=6)\n 6\n >>> max([5], default=6)\n 5\n \"\"\"\n return _wrapreduction(a, np.maximum, 'max', axis, None, out,\n keepdims=keepdims, initial=initial, where=where)\n\n\n@array_function_dispatch(_max_dispatcher)\ndef amax(a, axis=None, out=None, keepdims=np._NoValue, initial=np._NoValue,\n where=np._NoValue):\n \"\"\"\n Return the maximum of an array or maximum along an axis.\n\n `amax` is an alias of `~numpy.max`.\n\n See Also\n --------\n max : alias of this function\n ndarray.max : equivalent method\n \"\"\"\n return _wrapreduction(a, np.maximum, 'max', axis, None, out,\n keepdims=keepdims, initial=initial, where=where)\n\n\ndef _min_dispatcher(a, axis=None, out=None, keepdims=None, initial=None,\n where=None):\n return (a, out)\n\n\n@array_function_dispatch(_min_dispatcher)\ndef min(a, axis=None, out=None, keepdims=np._NoValue, initial=np._NoValue,\n where=np._NoValue):\n \"\"\"\n Return the minimum of an array or minimum along an axis.\n\n Parameters\n ----------\n a : array_like\n Input data.\n axis : None or int or tuple of ints, optional\n Axis or axes along which to operate. By default, flattened input is\n used.\n\n If this is a tuple of ints, the minimum is selected over multiple axes,\n instead of a single axis or all the axes as before.\n out : ndarray, optional\n Alternative output array in which to place the result. Must\n be of the same shape and buffer length as the expected output.\n See :ref:`ufuncs-output-type` for more details.\n\n keepdims : bool, optional\n If this is set to True, the axes which are reduced are left\n in the result as dimensions with size one. With this option,\n the result will broadcast correctly against the input array.\n\n If the default value is passed, then `keepdims` will not be\n passed through to the ``min`` method of sub-classes of\n `ndarray`, however any non-default value will be. If the\n sub-class' method does not implement `keepdims` any\n exceptions will be raised.\n\n initial : scalar, optional\n The maximum value of an output element. Must be present to allow\n computation on empty slice. See `~numpy.ufunc.reduce` for details.\n\n where : array_like of bool, optional\n Elements to compare for the minimum. See `~numpy.ufunc.reduce`\n for details.\n\n Returns\n -------\n min : ndarray or scalar\n Minimum of `a`. If `axis` is None, the result is a scalar value.\n If `axis` is an int, the result is an array of dimension\n ``a.ndim - 1``. If `axis` is a tuple, the result is an array of\n dimension ``a.ndim - len(axis)``.\n\n See Also\n --------\n amax :\n The maximum value of an array along a given axis, propagating any NaNs.\n nanmin :\n The minimum value of an array along a given axis, ignoring any NaNs.\n minimum :\n Element-wise minimum of two arrays, propagating any NaNs.\n fmin :\n Element-wise minimum of two arrays, ignoring any NaNs.\n argmin :\n Return the indices of the minimum values.\n\n nanmax, maximum, fmax\n\n Notes\n -----\n NaN values are propagated, that is if at least one item is NaN, the\n corresponding min value will be NaN as well. To ignore NaN values\n (MATLAB behavior), please use nanmin.\n\n Don't use `~numpy.min` for element-wise comparison of 2 arrays; when\n ``a.shape[0]`` is 2, ``minimum(a[0], a[1])`` is faster than\n ``min(a, axis=0)``.\n\n Examples\n --------\n >>> import numpy as np\n >>> a = np.arange(4).reshape((2,2))\n >>> a\n array([[0, 1],\n [2, 3]])\n >>> np.min(a) # Minimum of the flattened array\n 0\n >>> np.min(a, axis=0) # Minima along the first axis\n array([0, 1])\n >>> np.min(a, axis=1) # Minima along the second axis\n array([0, 2])\n >>> np.min(a, where=[False, True], initial=10, axis=0)\n array([10, 1])\n\n >>> b = np.arange(5, dtype=float)\n >>> b[2] = np.nan\n >>> np.min(b)\n np.float64(nan)\n >>> np.min(b, where=~np.isnan(b), initial=10)\n 0.0\n >>> np.nanmin(b)\n 0.0\n\n >>> np.min([[-50], [10]], axis=-1, initial=0)\n array([-50, 0])\n\n Notice that the initial value is used as one of the elements for which the\n minimum is determined, unlike for the default argument Python's max\n function, which is only used for empty iterables.\n\n Notice that this isn't the same as Python's ``default`` argument.\n\n >>> np.min([6], initial=5)\n 5\n >>> min([6], default=5)\n 6\n \"\"\"\n return _wrapreduction(a, np.minimum, 'min', axis, None, out,\n keepdims=keepdims, initial=initial, where=where)\n\n\n@array_function_dispatch(_min_dispatcher)\ndef amin(a, axis=None, out=None, keepdims=np._NoValue, initial=np._NoValue,\n where=np._NoValue):\n \"\"\"\n Return the minimum of an array or minimum along an axis.\n\n `amin` is an alias of `~numpy.min`.\n\n See Also\n --------\n min : alias of this function\n ndarray.min : equivalent method\n \"\"\"\n return _wrapreduction(a, np.minimum, 'min', axis, None, out,\n keepdims=keepdims, initial=initial, where=where)\n\n\ndef _prod_dispatcher(a, axis=None, dtype=None, out=None, keepdims=None,\n initial=None, where=None):\n return (a, out)\n\n\n@array_function_dispatch(_prod_dispatcher)\ndef prod(a, axis=None, dtype=None, out=None, keepdims=np._NoValue,\n initial=np._NoValue, where=np._NoValue):\n \"\"\"\n Return the product of array elements over a given axis.\n\n Parameters\n ----------\n a : array_like\n Input data.\n axis : None or int or tuple of ints, optional\n Axis or axes along which a product is performed. The default,\n axis=None, will calculate the product of all the elements in the\n input array. If axis is negative it counts from the last to the\n first axis.\n\n If axis is a tuple of ints, a product is performed on all of the\n axes specified in the tuple instead of a single axis or all the\n axes as before.\n dtype : dtype, optional\n The type of the returned array, as well as of the accumulator in\n which the elements are multiplied. The dtype of `a` is used by\n default unless `a` has an integer dtype of less precision than the\n default platform integer. In that case, if `a` is signed then the\n platform integer is used while if `a` is unsigned then an unsigned\n integer of the same precision as the platform integer is used.\n out : ndarray, optional\n Alternative output array in which to place the result. It must have\n the same shape as the expected output, but the type of the output\n values will be cast if necessary.\n keepdims : bool, optional\n If this is set to True, the axes which are reduced are left in the\n result as dimensions with size one. With this option, the result\n will broadcast correctly against the input array.\n\n If the default value is passed, then `keepdims` will not be\n passed through to the `prod` method of sub-classes of\n `ndarray`, however any non-default value will be. If the\n sub-class' method does not implement `keepdims` any\n exceptions will be raised.\n initial : scalar, optional\n The starting value for this product. See `~numpy.ufunc.reduce`\n for details.\n where : array_like of bool, optional\n Elements to include in the product. See `~numpy.ufunc.reduce`\n for details.\n\n Returns\n -------\n product_along_axis : ndarray, see `dtype` parameter above.\n An array shaped as `a` but with the specified axis removed.\n Returns a reference to `out` if specified.\n\n See Also\n --------\n ndarray.prod : equivalent method\n :ref:`ufuncs-output-type`\n\n Notes\n -----\n Arithmetic is modular when using integer types, and no error is\n raised on overflow. That means that, on a 32-bit platform:\n\n >>> x = np.array([536870910, 536870910, 536870910, 536870910])\n >>> np.prod(x)\n 16 # may vary\n\n The product of an empty array is the neutral element 1:\n\n >>> np.prod([])\n 1.0\n\n Examples\n --------\n By default, calculate the product of all elements:\n\n >>> import numpy as np\n >>> np.prod([1.,2.])\n 2.0\n\n Even when the input array is two-dimensional:\n\n >>> a = np.array([[1., 2.], [3., 4.]])\n >>> np.prod(a)\n 24.0\n\n But we can also specify the axis over which to multiply:\n\n >>> np.prod(a, axis=1)\n array([ 2., 12.])\n >>> np.prod(a, axis=0)\n array([3., 8.])\n\n Or select specific elements to include:\n\n >>> np.prod([1., np.nan, 3.], where=[True, False, True])\n 3.0\n\n If the type of `x` is unsigned, then the output type is\n the unsigned platform integer:\n\n >>> x = np.array([1, 2, 3], dtype=np.uint8)\n >>> np.prod(x).dtype == np.uint\n True\n\n If `x` is of a signed integer type, then the output type\n is the default platform integer:\n\n >>> x = np.array([1, 2, 3], dtype=np.int8)\n >>> np.prod(x).dtype == int\n True\n\n You can also start the product with a value other than one:\n\n >>> np.prod([1, 2], initial=5)\n 10\n \"\"\"\n return _wrapreduction(a, np.multiply, 'prod', axis, dtype, out,\n keepdims=keepdims, initial=initial, where=where)\n\n\ndef _cumprod_dispatcher(a, axis=None, dtype=None, out=None):\n return (a, out)\n\n\n@array_function_dispatch(_cumprod_dispatcher)\ndef cumprod(a, axis=None, dtype=None, out=None):\n \"\"\"\n Return the cumulative product of elements along a given axis.\n\n Parameters\n ----------\n a : array_like\n Input array.\n axis : int, optional\n Axis along which the cumulative product is computed. By default\n the input is flattened.\n dtype : dtype, optional\n Type of the returned array, as well as of the accumulator in which\n the elements are multiplied. If *dtype* is not specified, it\n defaults to the dtype of `a`, unless `a` has an integer dtype with\n a precision less than that of the default platform integer. In\n that case, the default platform integer is used instead.\n out : ndarray, optional\n Alternative output array in which to place the result. It must\n have the same shape and buffer length as the expected output\n but the type of the resulting values will be cast if necessary.\n\n Returns\n -------\n cumprod : ndarray\n A new array holding the result is returned unless `out` is\n specified, in which case a reference to out is returned.\n\n See Also\n --------\n cumulative_prod : Array API compatible alternative for ``cumprod``.\n :ref:`ufuncs-output-type`\n\n Notes\n -----\n Arithmetic is modular when using integer types, and no error is\n raised on overflow.\n\n Examples\n --------\n >>> import numpy as np\n >>> a = np.array([1,2,3])\n >>> np.cumprod(a) # intermediate results 1, 1*2\n ... # total product 1*2*3 = 6\n array([1, 2, 6])\n >>> a = np.array([[1, 2, 3], [4, 5, 6]])\n >>> np.cumprod(a, dtype=float) # specify type of output\n array([ 1., 2., 6., 24., 120., 720.])\n\n The cumulative product for each column (i.e., over the rows) of `a`:\n\n >>> np.cumprod(a, axis=0)\n array([[ 1, 2, 3],\n [ 4, 10, 18]])\n\n The cumulative product for each row (i.e. over the columns) of `a`:\n\n >>> np.cumprod(a,axis=1)\n array([[ 1, 2, 6],\n [ 4, 20, 120]])\n\n \"\"\"\n return _wrapfunc(a, 'cumprod', axis=axis, dtype=dtype, out=out)\n\n\ndef _ndim_dispatcher(a):\n return (a,)\n\n\n@array_function_dispatch(_ndim_dispatcher)\ndef ndim(a):\n \"\"\"\n Return the number of dimensions of an array.\n\n Parameters\n ----------\n a : array_like\n Input array. If it is not already an ndarray, a conversion is\n attempted.\n\n Returns\n -------\n number_of_dimensions : int\n The number of dimensions in `a`. Scalars are zero-dimensional.\n\n See Also\n --------\n ndarray.ndim : equivalent method\n shape : dimensions of array\n ndarray.shape : dimensions of array\n\n Examples\n --------\n >>> import numpy as np\n >>> np.ndim([[1,2,3],[4,5,6]])\n 2\n >>> np.ndim(np.array([[1,2,3],[4,5,6]]))\n 2\n >>> np.ndim(1)\n 0\n\n \"\"\"\n try:\n return a.ndim\n except AttributeError:\n return asarray(a).ndim\n\n\ndef _size_dispatcher(a, axis=None):\n return (a,)\n\n\n@array_function_dispatch(_size_dispatcher)\ndef size(a, axis=None):\n \"\"\"\n Return the number of elements along a given axis.\n\n Parameters\n ----------\n a : array_like\n Input data.\n axis : None or int or tuple of ints, optional\n Axis or axes along which the elements are counted. By default, give\n the total number of elements.\n\n .. versionchanged:: 2.4\n Extended to accept multiple axes.\n\n Returns\n -------\n element_count : int\n Number of elements along the specified axis.\n\n See Also\n --------\n shape : dimensions of array\n ndarray.shape : dimensions of array\n ndarray.size : number of elements in array\n\n Examples\n --------\n >>> import numpy as np\n >>> a = np.array([[1,2,3],[4,5,6]])\n >>> np.size(a)\n 6\n >>> np.size(a,axis=1)\n 3\n >>> np.size(a,axis=0)\n 2\n >>> np.size(a,axis=(0,1))\n 6\n\n \"\"\"\n if axis is None:\n try:\n return a.size\n except AttributeError:\n return asarray(a).size\n else:\n _shape = shape(a)\n from .numeric import normalize_axis_tuple\n axis = normalize_axis_tuple(axis, len(_shape), allow_duplicate=False)\n return math.prod(_shape[ax] for ax in axis)\n\n\ndef _round_dispatcher(a, decimals=None, out=None):\n return (a, out)\n\n\n@array_function_dispatch(_round_dispatcher)\ndef round(a, decimals=0, out=None):\n \"\"\"\n Evenly round to the given number of decimals.\n\n Parameters\n ----------\n a : array_like\n Input data.\n decimals : int, optional\n Number of decimal places to round to (default: 0). If\n decimals is negative, it specifies the number of positions to\n the left of the decimal point.\n out : ndarray, optional\n Alternative output array in which to place the result. It must have\n the same shape as the expected output, but the type of the output\n values will be cast if necessary. See :ref:`ufuncs-output-type`\n for more details.\n\n Returns\n -------\n rounded_array : ndarray\n An array of the same type as `a`, containing the rounded values.\n Unless `out` was specified, a new array is created. A reference to\n the result is returned.\n\n The real and imaginary parts of complex numbers are rounded\n separately. The result of rounding a float is a float.\n\n See Also\n --------\n ndarray.round : equivalent method\n around : an alias for this function\n ceil, fix, floor, rint, trunc\n\n\n Notes\n -----\n For values exactly halfway between rounded decimal values, NumPy\n rounds to the nearest even value. Thus 1.5 and 2.5 round to 2.0,\n -0.5 and 0.5 round to 0.0, etc.\n\n ``np.round`` uses a fast but sometimes inexact algorithm to round\n floating-point datatypes. For positive `decimals` it is equivalent to\n ``np.true_divide(np.rint(a * 10**decimals), 10**decimals)``, which has\n error due to the inexact representation of decimal fractions in the IEEE\n floating point standard [1]_ and errors introduced when scaling by powers\n of ten. For instance, note the extra \"1\" in the following:\n\n >>> np.round(56294995342131.5, 3)\n 56294995342131.51\n\n If your goal is to print such values with a fixed number of decimals, it is\n preferable to use numpy's float printing routines to limit the number of\n printed decimals:\n\n >>> np.format_float_positional(56294995342131.5, precision=3)\n '56294995342131.5'\n\n The float printing routines use an accurate but much more computationally\n demanding algorithm to compute the number of digits after the decimal\n point.\n\n Alternatively, Python's builtin `round` function uses a more accurate\n but slower algorithm for 64-bit floating point values:\n\n >>> round(56294995342131.5, 3)\n 56294995342131.5\n >>> np.round(16.055, 2), round(16.055, 2) # equals 16.0549999999999997\n (16.06, 16.05)\n\n\n References\n ----------\n .. [1] \"Lecture Notes on the Status of IEEE 754\", William Kahan,\n https://people.eecs.berkeley.edu/~wkahan/ieee754status/IEEE754.PDF\n\n Examples\n --------\n >>> import numpy as np\n >>> np.round([0.37, 1.64])\n array([0., 2.])\n >>> np.round([0.37, 1.64], decimals=1)\n array([0.4, 1.6])\n >>> np.round([.5, 1.5, 2.5, 3.5, 4.5]) # rounds to nearest even value\n array([0., 2., 2., 4., 4.])\n >>> np.round([1,2,3,11], decimals=1) # ndarray of ints is returned\n array([ 1, 2, 3, 11])\n >>> np.round([1,2,3,11], decimals=-1)\n array([ 0, 0, 0, 10])\n\n \"\"\"\n return _wrapfunc(a, 'round', decimals=decimals, out=out)\n\n\n@array_function_dispatch(_round_dispatcher)\ndef around(a, decimals=0, out=None):\n \"\"\"\n Round an array to the given number of decimals.\n\n `around` is an alias of `~numpy.round`.\n\n See Also\n --------\n ndarray.round : equivalent method\n round : alias for this function\n ceil, fix, floor, rint, trunc\n\n \"\"\"\n return _wrapfunc(a, 'round', decimals=decimals, out=out)\n\n\ndef _mean_dispatcher(a, axis=None, dtype=None, out=None, keepdims=None, *,\n where=None):\n return (a, where, out)\n\n\n@array_function_dispatch(_mean_dispatcher)\ndef mean(a, axis=None, dtype=None, out=None, keepdims=np._NoValue, *,\n where=np._NoValue):\n \"\"\"\n Compute the arithmetic mean along the specified axis.\n\n Returns the average of the array elements. The average is taken over\n the flattened array by default, otherwise over the specified axis.\n `float64` intermediate and return values are used for integer inputs.\n\n Parameters\n ----------\n a : array_like\n Array containing numbers whose mean is desired. If `a` is not an\n array, a conversion is attempted.\n axis : None or int or tuple of ints, optional\n Axis or axes along which the means are computed. The default is to\n compute the mean of the flattened array.\n\n If this is a tuple of ints, a mean is performed over multiple axes,\n instead of a single axis or all the axes as before.\n dtype : data-type, optional\n Type to use in computing the mean. For integer inputs, the default\n is `float64`; for floating point inputs, it is the same as the\n input dtype.\n out : ndarray, optional\n Alternate output array in which to place the result. The default\n is ``None``; if provided, it must have the same shape as the\n expected output, but the type will be cast if necessary.\n See :ref:`ufuncs-output-type` for more details.\n See :ref:`ufuncs-output-type` for more details.\n\n keepdims : bool, optional\n If this is set to True, the axes which are reduced are left\n in the result as dimensions with size one. With this option,\n the result will broadcast correctly against the input array.\n\n If the default value is passed, then `keepdims` will not be\n passed through to the `mean` method of sub-classes of\n `ndarray`, however any non-default value will be. If the\n sub-class' method does not implement `keepdims` any\n exceptions will be raised.\n\n where : array_like of bool, optional\n Elements to include in the mean. See `~numpy.ufunc.reduce` for details.\n\n .. versionadded:: 1.20.0\n\n Returns\n -------\n m : ndarray, see dtype parameter above\n If `out=None`, returns a new array containing the mean values,\n otherwise a reference to the output array is returned.\n\n See Also\n --------\n average : Weighted average\n std, var, nanmean, nanstd, nanvar\n\n Notes\n -----\n The arithmetic mean is the sum of the elements along the axis divided\n by the number of elements.\n\n Note that for floating-point input, the mean is computed using the\n same precision the input has. Depending on the input data, this can\n cause the results to be inaccurate, especially for `float32` (see\n example below). Specifying a higher-precision accumulator using the\n `dtype` keyword can alleviate this issue.\n\n By default, `float16` results are computed using `float32` intermediates\n for extra precision.\n\n Examples\n --------\n >>> import numpy as np\n >>> a = np.array([[1, 2], [3, 4]])\n >>> np.mean(a)\n 2.5\n >>> np.mean(a, axis=0)\n array([2., 3.])\n >>> np.mean(a, axis=1)\n array([1.5, 3.5])\n\n In single precision, `mean` can be inaccurate:\n\n >>> a = np.zeros((2, 512*512), dtype=np.float32)\n >>> a[0, :] = 1.0\n >>> a[1, :] = 0.1\n >>> np.mean(a)\n np.float32(0.54999924)\n\n Computing the mean in float64 is more accurate:\n\n >>> np.mean(a, dtype=np.float64)\n 0.55000000074505806 # may vary\n\n Computing the mean in timedelta64 is available:\n\n >>> b = np.array([1, 3], dtype=\"timedelta64[D]\")\n >>> np.mean(b)\n np.timedelta64(2,'D')\n\n Specifying a where argument:\n\n >>> a = np.array([[5, 9, 13], [14, 10, 12], [11, 15, 19]])\n >>> np.mean(a)\n 12.0\n >>> np.mean(a, where=[[True], [False], [False]])\n 9.0\n\n \"\"\"\n kwargs = {}\n if keepdims is not np._NoValue:\n kwargs['keepdims'] = keepdims\n if where is not np._NoValue:\n kwargs['where'] = where\n if type(a) is not mu.ndarray:\n try:\n mean = a.mean\n except AttributeError:\n pass\n else:\n return mean(axis=axis, dtype=dtype, out=out, **kwargs)\n\n return _methods._mean(a, axis=axis, dtype=dtype,\n out=out, **kwargs)\n\n\ndef _std_dispatcher(a, axis=None, dtype=None, out=None, ddof=None,\n keepdims=None, *, where=None, mean=None, correction=None):\n return (a, where, out, mean)\n\n\n@array_function_dispatch(_std_dispatcher)\ndef std(a, axis=None, dtype=None, out=None, ddof=0, keepdims=np._NoValue, *,\n where=np._NoValue, mean=np._NoValue, correction=np._NoValue):\n r\"\"\"\n Compute the standard deviation along the specified axis.\n\n Returns the standard deviation, a measure of the spread of a distribution,\n of the array elements. The standard deviation is computed for the\n flattened array by default, otherwise over the specified axis.\n\n Parameters\n ----------\n a : array_like\n Calculate the standard deviation of these values.\n axis : None or int or tuple of ints, optional\n Axis or axes along which the standard deviation is computed. The\n default is to compute the standard deviation of the flattened array.\n If this is a tuple of ints, a standard deviation is performed over\n multiple axes, instead of a single axis or all the axes as before.\n dtype : dtype, optional\n Type to use in computing the standard deviation. For arrays of\n integer type the default is float64, for arrays of float types it is\n the same as the array type.\n out : ndarray, optional\n Alternative output array in which to place the result. It must have\n the same shape as the expected output but the type (of the calculated\n values) will be cast if necessary.\n See :ref:`ufuncs-output-type` for more details.\n ddof : {int, float}, optional\n Means Delta Degrees of Freedom. The divisor used in calculations\n is ``N - ddof``, where ``N`` represents the number of elements.\n By default `ddof` is zero. See Notes for details about use of `ddof`.\n keepdims : bool, optional\n If this is set to True, the axes which are reduced are left\n in the result as dimensions with size one. With this option,\n the result will broadcast correctly against the input array.\n\n If the default value is passed, then `keepdims` will not be\n passed through to the `std` method of sub-classes of\n `ndarray`, however any non-default value will be. If the\n sub-class' method does not implement `keepdims` any\n exceptions will be raised.\n where : array_like of bool, optional\n Elements to include in the standard deviation.\n See `~numpy.ufunc.reduce` for details.\n\n .. versionadded:: 1.20.0\n\n mean : array_like, optional\n Provide the mean to prevent its recalculation. The mean should have\n a shape as if it was calculated with ``keepdims=True``.\n The axis for the calculation of the mean should be the same as used in\n the call to this std function.\n\n .. versionadded:: 2.0.0\n\n correction : {int, float}, optional\n Array API compatible name for the ``ddof`` parameter. Only one of them\n can be provided at the same time.\n\n .. versionadded:: 2.0.0\n\n Returns\n -------\n standard_deviation : ndarray, see dtype parameter above.\n If `out` is None, return a new array containing the standard deviation,\n otherwise return a reference to the output array.\n\n See Also\n --------\n var, mean, nanmean, nanstd, nanvar\n :ref:`ufuncs-output-type`\n\n Notes\n -----\n There are several common variants of the array standard deviation\n calculation. Assuming the input `a` is a one-dimensional NumPy array\n and ``mean`` is either provided as an argument or computed as\n ``a.mean()``, NumPy computes the standard deviation of an array as::\n\n N = len(a)\n d2 = abs(a - mean)**2 # abs is for complex `a`\n var = d2.sum() / (N - ddof) # note use of `ddof`\n std = var**0.5\n\n Different values of the argument `ddof` are useful in different\n contexts. NumPy's default ``ddof=0`` corresponds with the expression:\n\n .. math::\n\n \\sqrt{\\frac{\\sum_i{|a_i - \\bar{a}|^2 }}{N}}\n\n which is sometimes called the \"population standard deviation\" in the field\n of statistics because it applies the definition of standard deviation to\n `a` as if `a` were a complete population of possible observations.\n\n Many other libraries define the standard deviation of an array\n differently, e.g.:\n\n .. math::\n\n \\sqrt{\\frac{\\sum_i{|a_i - \\bar{a}|^2 }}{N - 1}}\n\n In statistics, the resulting quantity is sometimes called the \"sample\n standard deviation\" because if `a` is a random sample from a larger\n population, this calculation provides the square root of an unbiased\n estimate of the variance of the population. The use of :math:`N-1` in the\n denominator is often called \"Bessel's correction\" because it corrects for\n bias (toward lower values) in the variance estimate introduced when the\n sample mean of `a` is used in place of the true mean of the population.\n The resulting estimate of the standard deviation is still biased, but less\n than it would have been without the correction. For this quantity, use\n ``ddof=1``.\n\n Note that, for complex numbers, `std` takes the absolute\n value before squaring, so that the result is always real and nonnegative.\n\n For floating-point input, the standard deviation is computed using the same\n precision the input has. Depending on the input data, this can cause\n the results to be inaccurate, especially for float32 (see example below).\n Specifying a higher-accuracy accumulator using the `dtype` keyword can\n alleviate this issue.\n\n Examples\n --------\n >>> import numpy as np\n >>> a = np.array([[1, 2], [3, 4]])\n >>> np.std(a)\n 1.1180339887498949 # may vary\n >>> np.std(a, axis=0)\n array([1., 1.])\n >>> np.std(a, axis=1)\n array([0.5, 0.5])\n\n In single precision, std() can be inaccurate:\n\n >>> a = np.zeros((2, 512*512), dtype=np.float32)\n >>> a[0, :] = 1.0\n >>> a[1, :] = 0.1\n >>> np.std(a)\n np.float32(0.45000005)\n\n Computing the standard deviation in float64 is more accurate:\n\n >>> np.std(a, dtype=np.float64)\n 0.44999999925494177 # may vary\n\n Specifying a where argument:\n\n >>> a = np.array([[14, 8, 11, 10], [7, 9, 10, 11], [10, 15, 5, 10]])\n >>> np.std(a)\n 2.614064523559687 # may vary\n >>> np.std(a, where=[[True], [True], [False]])\n 2.0\n\n Using the mean keyword to save computation time:\n\n >>> import numpy as np\n >>> from timeit import timeit\n >>> a = np.array([[14, 8, 11, 10], [7, 9, 10, 11], [10, 15, 5, 10]])\n >>> mean = np.mean(a, axis=1, keepdims=True)\n >>>\n >>> g = globals()\n >>> n = 10000\n >>> t1 = timeit(\"std = np.std(a, axis=1, mean=mean)\", globals=g, number=n)\n >>> t2 = timeit(\"std = np.std(a, axis=1)\", globals=g, number=n)\n >>> print(f'Percentage execution time saved {100*(t2-t1)/t2:.0f}%')\n #doctest: +SKIP\n Percentage execution time saved 30%\n\n \"\"\"\n kwargs = {}\n if keepdims is not np._NoValue:\n kwargs['keepdims'] = keepdims\n if where is not np._NoValue:\n kwargs['where'] = where\n if mean is not np._NoValue:\n kwargs['mean'] = mean\n\n if correction != np._NoValue:\n if ddof != 0:\n raise ValueError(\n \"ddof and correction can't be provided simultaneously.\"\n )\n else:\n ddof = correction\n\n if type(a) is not mu.ndarray:\n try:\n std = a.std\n except AttributeError:\n pass\n else:\n return std(axis=axis, dtype=dtype, out=out, ddof=ddof, **kwargs)\n\n return _methods._std(a, axis=axis, dtype=dtype, out=out, ddof=ddof,\n **kwargs)\n\n\ndef _var_dispatcher(a, axis=None, dtype=None, out=None, ddof=None,\n keepdims=None, *, where=None, mean=None, correction=None):\n return (a, where, out, mean)\n\n\n@array_function_dispatch(_var_dispatcher)\ndef var(a, axis=None, dtype=None, out=None, ddof=0, keepdims=np._NoValue, *,\n where=np._NoValue, mean=np._NoValue, correction=np._NoValue):\n r\"\"\"\n Compute the variance along the specified axis.\n\n Returns the variance of the array elements, a measure of the spread of a\n distribution. The variance is computed for the flattened array by\n default, otherwise over the specified axis.\n\n Parameters\n ----------\n a : array_like\n Array containing numbers whose variance is desired. If `a` is not an\n array, a conversion is attempted.\n axis : None or int or tuple of ints, optional\n Axis or axes along which the variance is computed. The default is to\n compute the variance of the flattened array.\n If this is a tuple of ints, a variance is performed over multiple axes,\n instead of a single axis or all the axes as before.\n dtype : data-type, optional\n Type to use in computing the variance. For arrays of integer type\n the default is `float64`; for arrays of float types it is the same as\n the array type.\n out : ndarray, optional\n Alternate output array in which to place the result. It must have\n the same shape as the expected output, but the type is cast if\n necessary.\n ddof : {int, float}, optional\n \"Delta Degrees of Freedom\": the divisor used in the calculation is\n ``N - ddof``, where ``N`` represents the number of elements. By\n default `ddof` is zero. See notes for details about use of `ddof`.\n keepdims : bool, optional\n If this is set to True, the axes which are reduced are left\n in the result as dimensions with size one. With this option,\n the result will broadcast correctly against the input array.\n\n If the default value is passed, then `keepdims` will not be\n passed through to the `var` method of sub-classes of\n `ndarray`, however any non-default value will be. If the\n sub-class' method does not implement `keepdims` any\n exceptions will be raised.\n where : array_like of bool, optional\n Elements to include in the variance. See `~numpy.ufunc.reduce` for\n details.\n\n .. versionadded:: 1.20.0\n\n mean : array like, optional\n Provide the mean to prevent its recalculation. The mean should have\n a shape as if it was calculated with ``keepdims=True``.\n The axis for the calculation of the mean should be the same as used in\n the call to this var function.\n\n .. versionadded:: 2.0.0\n\n correction : {int, float}, optional\n Array API compatible name for the ``ddof`` parameter. Only one of them\n can be provided at the same time.\n\n .. versionadded:: 2.0.0\n\n Returns\n -------\n variance : ndarray, see dtype parameter above\n If ``out=None``, returns a new array containing the variance;\n otherwise, a reference to the output array is returned.\n\n See Also\n --------\n std, mean, nanmean, nanstd, nanvar\n :ref:`ufuncs-output-type`\n\n Notes\n -----\n There are several common variants of the array variance calculation.\n Assuming the input `a` is a one-dimensional NumPy array and ``mean`` is\n either provided as an argument or computed as ``a.mean()``, NumPy\n computes the variance of an array as::\n\n N = len(a)\n d2 = abs(a - mean)**2 # abs is for complex `a`\n var = d2.sum() / (N - ddof) # note use of `ddof`\n\n Different values of the argument `ddof` are useful in different\n contexts. NumPy's default ``ddof=0`` corresponds with the expression:\n\n .. math::\n\n \\frac{\\sum_i{|a_i - \\bar{a}|^2 }}{N}\n\n which is sometimes called the \"population variance\" in the field of\n statistics because it applies the definition of variance to `a` as if `a`\n were a complete population of possible observations.\n\n Many other libraries define the variance of an array differently, e.g.:\n\n .. math::\n\n \\frac{\\sum_i{|a_i - \\bar{a}|^2}}{N - 1}\n\n In statistics, the resulting quantity is sometimes called the \"sample\n variance\" because if `a` is a random sample from a larger population,\n this calculation provides an unbiased estimate of the variance of the\n population. The use of :math:`N-1` in the denominator is often called\n \"Bessel's correction\" because it corrects for bias (toward lower values)\n in the variance estimate introduced when the sample mean of `a` is used\n in place of the true mean of the population. For this quantity, use\n ``ddof=1``.\n\n Note that for complex numbers, the absolute value is taken before\n squaring, so that the result is always real and nonnegative.\n\n For floating-point input, the variance is computed using the same\n precision the input has. Depending on the input data, this can cause\n the results to be inaccurate, especially for `float32` (see example\n below). Specifying a higher-accuracy accumulator using the ``dtype``\n keyword can alleviate this issue.\n\n Examples\n --------\n >>> import numpy as np\n >>> a = np.array([[1, 2], [3, 4]])\n >>> np.var(a)\n 1.25\n >>> np.var(a, axis=0)\n array([1., 1.])\n >>> np.var(a, axis=1)\n array([0.25, 0.25])\n\n In single precision, var() can be inaccurate:\n\n >>> a = np.zeros((2, 512*512), dtype=np.float32)\n >>> a[0, :] = 1.0\n >>> a[1, :] = 0.1\n >>> np.var(a)\n np.float32(0.20250003)\n\n Computing the variance in float64 is more accurate:\n\n >>> np.var(a, dtype=np.float64)\n 0.20249999932944759 # may vary\n >>> ((1-0.55)**2 + (0.1-0.55)**2)/2\n 0.2025\n\n Specifying a where argument:\n\n >>> a = np.array([[14, 8, 11, 10], [7, 9, 10, 11], [10, 15, 5, 10]])\n >>> np.var(a)\n 6.833333333333333 # may vary\n >>> np.var(a, where=[[True], [True], [False]])\n 4.0\n\n Using the mean keyword to save computation time:\n\n >>> import numpy as np\n >>> from timeit import timeit\n >>>\n >>> a = np.array([[14, 8, 11, 10], [7, 9, 10, 11], [10, 15, 5, 10]])\n >>> mean = np.mean(a, axis=1, keepdims=True)\n >>>\n >>> g = globals()\n >>> n = 10000\n >>> t1 = timeit(\"var = np.var(a, axis=1, mean=mean)\", globals=g, number=n)\n >>> t2 = timeit(\"var = np.var(a, axis=1)\", globals=g, number=n)\n >>> print(f'Percentage execution time saved {100*(t2-t1)/t2:.0f}%')\n #doctest: +SKIP\n Percentage execution time saved 32%\n\n \"\"\"\n kwargs = {}\n if keepdims is not np._NoValue:\n kwargs['keepdims'] = keepdims\n if where is not np._NoValue:\n kwargs['where'] = where\n if mean is not np._NoValue:\n kwargs['mean'] = mean\n\n if correction != np._NoValue:\n if ddof != 0:\n raise ValueError(\n \"ddof and correction can't be provided simultaneously.\"\n )\n else:\n ddof = correction\n\n if type(a) is not mu.ndarray:\n try:\n var = a.var\n\n except AttributeError:\n pass\n else:\n return var(axis=axis, dtype=dtype, out=out, ddof=ddof, **kwargs)\n\n return _methods._var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,\n **kwargs)\n", 4233], "/home/gaogaotiantian/programs/viztracer/venv/lib/python3.12/site-packages/numpy/_core/_methods.py": ["\"\"\"\nArray methods which are called by both the C-code for the method\nand the Python code for the NumPy-namespace function\n\n\"\"\"\nimport os\nimport pickle\nimport warnings\nfrom contextlib import nullcontext\n\nimport numpy as np\nfrom numpy._core import multiarray as mu, numerictypes as nt, umath as um\nfrom numpy._core.multiarray import asanyarray\nfrom numpy._globals import _NoValue\n\n# save those O(100) nanoseconds!\nbool_dt = mu.dtype(\"bool\")\numr_maximum = um.maximum.reduce\numr_minimum = um.minimum.reduce\numr_sum = um.add.reduce\numr_prod = um.multiply.reduce\numr_bitwise_count = um.bitwise_count\numr_any = um.logical_or.reduce\numr_all = um.logical_and.reduce\n\n# Complex types to -> (2,)float view for fast-path computation in _var()\n_complex_to_float = {\n nt.dtype(nt.csingle): nt.dtype(nt.single),\n nt.dtype(nt.cdouble): nt.dtype(nt.double),\n}\n# Special case for windows: ensure double takes precedence\nif nt.dtype(nt.longdouble) != nt.dtype(nt.double):\n _complex_to_float.update({\n nt.dtype(nt.clongdouble): nt.dtype(nt.longdouble),\n })\n\n# avoid keyword arguments to speed up parsing, saves about 15%-20% for very\n# small reductions\ndef _amax(a, axis=None, out=None, keepdims=False,\n initial=_NoValue, where=True):\n return umr_maximum(a, axis, None, out, keepdims, initial, where)\n\ndef _amin(a, axis=None, out=None, keepdims=False,\n initial=_NoValue, where=True):\n return umr_minimum(a, axis, None, out, keepdims, initial, where)\n\ndef _sum(a, axis=None, dtype=None, out=None, keepdims=False,\n initial=_NoValue, where=True):\n return umr_sum(a, axis, dtype, out, keepdims, initial, where)\n\ndef _prod(a, axis=None, dtype=None, out=None, keepdims=False,\n initial=_NoValue, where=True):\n return umr_prod(a, axis, dtype, out, keepdims, initial, where)\n\ndef _any(a, axis=None, dtype=None, out=None, keepdims=False, *, where=True):\n # By default, return a boolean for any and all\n if dtype is None:\n dtype = bool_dt\n # Parsing keyword arguments is currently fairly slow, so avoid it for now\n if where is True:\n return umr_any(a, axis, dtype, out, keepdims)\n return umr_any(a, axis, dtype, out, keepdims, where=where)\n\ndef _all(a, axis=None, dtype=None, out=None, keepdims=False, *, where=True):\n # By default, return a boolean for any and all\n if dtype is None:\n dtype = bool_dt\n # Parsing keyword arguments is currently fairly slow, so avoid it for now\n if where is True:\n return umr_all(a, axis, dtype, out, keepdims)\n return umr_all(a, axis, dtype, out, keepdims, where=where)\n\ndef _count_reduce_items(arr, axis, keepdims=False, where=True):\n # fast-path for the default case\n if where is True:\n # no boolean mask given, calculate items according to axis\n if axis is None:\n axis = tuple(range(arr.ndim))\n elif not isinstance(axis, tuple):\n axis = (axis,)\n items = 1\n for ax in axis:\n items *= arr.shape[mu.normalize_axis_index(ax, arr.ndim)]\n items = nt.intp(items)\n else:\n # TODO: Optimize case when `where` is broadcast along a non-reduction\n # axis and full sum is more excessive than needed.\n\n # guarded to protect circular imports\n from numpy.lib._stride_tricks_impl import broadcast_to\n # count True values in (potentially broadcasted) boolean mask\n items = umr_sum(broadcast_to(where, arr.shape), axis, nt.intp, None,\n keepdims)\n return items\n\ndef _clip(a, min=None, max=None, out=None, **kwargs):\n if a.dtype.kind in \"iu\":\n # If min/max is a Python integer, deal with out-of-bound values here.\n # (This enforces NEP 50 rules as no value based promotion is done.)\n if type(min) is int and min <= np.iinfo(a.dtype).min:\n min = None\n if type(max) is int and max >= np.iinfo(a.dtype).max:\n max = None\n\n if min is None and max is None:\n # return identity\n return um.positive(a, out=out, **kwargs)\n elif min is None:\n return um.minimum(a, max, out=out, **kwargs)\n elif max is None:\n return um.maximum(a, min, out=out, **kwargs)\n else:\n return um.clip(a, min, max, out=out, **kwargs)\n\ndef _mean(a, axis=None, dtype=None, out=None, keepdims=False, *, where=True):\n arr = asanyarray(a)\n\n is_float16_result = False\n\n rcount = _count_reduce_items(arr, axis, keepdims=keepdims, where=where)\n if rcount == 0 if where is True else umr_any(rcount == 0, axis=None):\n warnings.warn(\"Mean of empty slice\", RuntimeWarning, stacklevel=2)\n\n # Cast bool, unsigned int, and int to float64 by default\n if dtype is None:\n if issubclass(arr.dtype.type, (nt.integer, nt.bool)):\n dtype = mu.dtype('f8')\n elif issubclass(arr.dtype.type, nt.float16):\n dtype = mu.dtype('f4')\n is_float16_result = True\n\n ret = umr_sum(arr, axis, dtype, out, keepdims, where=where)\n if isinstance(ret, mu.ndarray):\n ret = um.true_divide(\n ret, rcount, out=ret, casting='unsafe', subok=False)\n if is_float16_result and out is None:\n ret = arr.dtype.type(ret)\n elif hasattr(ret, 'dtype'):\n if is_float16_result:\n ret = arr.dtype.type(ret / rcount)\n else:\n ret = ret.dtype.type(ret / rcount)\n else:\n ret = ret / rcount\n\n return ret\n\ndef _var(a, axis=None, dtype=None, out=None, ddof=0, keepdims=False, *,\n where=True, mean=None):\n arr = asanyarray(a)\n\n rcount = _count_reduce_items(arr, axis, keepdims=keepdims, where=where)\n # Make this warning show up on top.\n if ddof >= rcount if where is True else umr_any(ddof >= rcount, axis=None):\n warnings.warn(\"Degrees of freedom <= 0 for slice\", RuntimeWarning,\n stacklevel=2)\n\n # Cast bool, unsigned int, and int to float64 by default\n if dtype is None and issubclass(arr.dtype.type, (nt.integer, nt.bool)):\n dtype = mu.dtype('f8')\n\n if mean is not None:\n arrmean = mean\n else:\n # Compute the mean.\n # Note that if dtype is not of inexact type then arraymean will\n # not be either.\n arrmean = umr_sum(arr, axis, dtype, keepdims=True, where=where)\n # The shape of rcount has to match arrmean to not change the shape of\n # out in broadcasting. Otherwise, it cannot be stored back to arrmean.\n if rcount.ndim == 0:\n # fast-path for default case when where is True\n div = rcount\n else:\n # matching rcount to arrmean when where is specified as array\n div = rcount.reshape(arrmean.shape)\n if isinstance(arrmean, mu.ndarray):\n arrmean = um.true_divide(arrmean, div, out=arrmean,\n casting='unsafe', subok=False)\n elif hasattr(arrmean, \"dtype\"):\n arrmean = arrmean.dtype.type(arrmean / rcount)\n else:\n arrmean = arrmean / rcount\n\n # Compute sum of squared deviations from mean\n # Note that x may not be inexact and that we need it to be an array,\n # not a scalar.\n x = um.subtract(arr, arrmean, out=...)\n if issubclass(arr.dtype.type, (nt.floating, nt.integer)):\n x = um.square(x, out=x)\n # Fast-paths for built-in complex types\n elif (_float_dtype := _complex_to_float.get(x.dtype)) is not None:\n xv = x.view(dtype=(_float_dtype, (2,)))\n um.square(xv, out=xv)\n x = um.add(xv[..., 0], xv[..., 1], out=x.real)\n # Most general case; includes handling object arrays containing imaginary\n # numbers and complex types with non-native byteorder\n else:\n x = um.multiply(x, um.conjugate(x), out=x).real\n\n ret = umr_sum(x, axis, dtype, out, keepdims=keepdims, where=where)\n\n # Compute degrees of freedom and make sure it is not negative.\n rcount = um.maximum(rcount - ddof, 0)\n\n # divide by degrees of freedom\n if isinstance(ret, mu.ndarray):\n ret = um.true_divide(\n ret, rcount, out=ret, casting='unsafe', subok=False)\n elif hasattr(ret, 'dtype'):\n ret = ret.dtype.type(ret / rcount)\n else:\n ret = ret / rcount\n\n return ret\n\ndef _std(a, axis=None, dtype=None, out=None, ddof=0, keepdims=False, *,\n where=True, mean=None):\n ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,\n keepdims=keepdims, where=where, mean=mean)\n\n if isinstance(ret, mu.ndarray):\n ret = um.sqrt(ret, out=ret)\n elif hasattr(ret, 'dtype'):\n ret = ret.dtype.type(um.sqrt(ret))\n else:\n ret = um.sqrt(ret)\n\n return ret\n\ndef _ptp(a, axis=None, out=None, keepdims=False):\n return um.subtract(\n umr_maximum(a, axis, None, out, keepdims),\n umr_minimum(a, axis, None, None, keepdims),\n out\n )\n\ndef _dump(self, file, protocol=2):\n if hasattr(file, 'write'):\n ctx = nullcontext(file)\n else:\n ctx = open(os.fspath(file), \"wb\")\n with ctx as f:\n pickle.dump(self, f, protocol=protocol)\n\ndef _dumps(self, protocol=2):\n return pickle.dumps(self, protocol=protocol)\n\ndef _bitwise_count(a, out=None, *, where=True, casting='same_kind',\n order='K', dtype=None, subok=True):\n return umr_bitwise_count(a, out, where=where, casting=casting,\n order=order, dtype=dtype, subok=subok)\n", 252], "/home/gaogaotiantian/programs/viztracer/venv/lib/python3.12/site-packages/numpy/_core/_ufunc_config.py": ["\"\"\"\nFunctions for changing global ufunc configuration\n\nThis provides helpers which wrap `_get_extobj_dict` and `_make_extobj`, and\n`_extobj_contextvar` from umath.\n\"\"\"\nimport functools\n\nfrom numpy._utils import set_module\n\nfrom .umath import _extobj_contextvar, _get_extobj_dict, _make_extobj\n\n__all__ = [\n \"seterr\", \"geterr\", \"setbufsize\", \"getbufsize\", \"seterrcall\", \"geterrcall\",\n \"errstate\"\n]\n\n\n@set_module('numpy')\ndef seterr(all=None, divide=None, over=None, under=None, invalid=None):\n \"\"\"\n Set how floating-point errors are handled.\n\n Note that operations on integer scalar types (such as `int16`) are\n handled like floating point, and are affected by these settings.\n\n Parameters\n ----------\n all : {'ignore', 'warn', 'raise', 'call', 'print', 'log'}, optional\n Set treatment for all types of floating-point errors at once:\n\n - ignore: Take no action when the exception occurs.\n - warn: Print a :exc:`RuntimeWarning` (via the Python `warnings`\n module).\n - raise: Raise a :exc:`FloatingPointError`.\n - call: Call a function specified using the `seterrcall` function.\n - print: Print a warning directly to ``stdout``.\n - log: Record error in a Log object specified by `seterrcall`.\n\n The default is not to change the current behavior.\n divide : {'ignore', 'warn', 'raise', 'call', 'print', 'log'}, optional\n Treatment for division by zero.\n over : {'ignore', 'warn', 'raise', 'call', 'print', 'log'}, optional\n Treatment for floating-point overflow.\n under : {'ignore', 'warn', 'raise', 'call', 'print', 'log'}, optional\n Treatment for floating-point underflow.\n invalid : {'ignore', 'warn', 'raise', 'call', 'print', 'log'}, optional\n Treatment for invalid floating-point operation.\n\n Returns\n -------\n old_settings : dict\n Dictionary containing the old settings.\n\n See also\n --------\n seterrcall : Set a callback function for the 'call' mode.\n geterr, geterrcall, errstate\n\n\n Notes\n -----\n The floating-point exceptions are defined in the IEEE 754 standard [1]_:\n\n - Division by zero: infinite result obtained from finite numbers.\n - Overflow: result too large to be expressed.\n - Underflow: result so close to zero that some precision\n was lost.\n - Invalid operation: result is not an expressible number, typically\n indicates that a NaN was produced.\n\n **Concurrency note:** see :ref:`fp_error_handling`\n\n .. [1] https://en.wikipedia.org/wiki/IEEE_754\n\n Examples\n --------\n >>> import numpy as np\n >>> orig_settings = np.seterr(all='ignore') # seterr to known value\n >>> np.int16(32000) * np.int16(3)\n np.int16(30464)\n >>> np.seterr(over='raise')\n {'divide': 'ignore', 'over': 'ignore', 'under': 'ignore', 'invalid': 'ignore'}\n >>> old_settings = np.seterr(all='warn', over='raise')\n >>> np.int16(32000) * np.int16(3)\n Traceback (most recent call last):\n File \"\", line 1, in \n FloatingPointError: overflow encountered in scalar multiply\n\n >>> old_settings = np.seterr(all='print')\n >>> np.geterr()\n {'divide': 'print', 'over': 'print', 'under': 'print', 'invalid': 'print'}\n >>> np.int16(32000) * np.int16(3)\n np.int16(30464)\n >>> np.seterr(**orig_settings) # restore original\n {'divide': 'print', 'over': 'print', 'under': 'print', 'invalid': 'print'}\n\n \"\"\"\n\n old = _get_extobj_dict()\n # The errstate doesn't include call and bufsize, so pop them:\n old.pop(\"call\", None)\n old.pop(\"bufsize\", None)\n\n extobj = _make_extobj(\n all=all, divide=divide, over=over, under=under, invalid=invalid)\n _extobj_contextvar.set(extobj)\n return old\n\n\n@set_module('numpy')\ndef geterr():\n \"\"\"\n Get the current way of handling floating-point errors.\n\n Returns\n -------\n res : dict\n A dictionary with keys \"divide\", \"over\", \"under\", and \"invalid\",\n whose values are from the strings \"ignore\", \"print\", \"log\", \"warn\",\n \"raise\", and \"call\". The keys represent possible floating-point\n exceptions, and the values define how these exceptions are handled.\n\n See Also\n --------\n geterrcall, seterr, seterrcall\n\n Notes\n -----\n For complete documentation of the types of floating-point exceptions and\n treatment options, see `seterr`.\n\n **Concurrency note:** see :doc:`/reference/routines.err`\n\n Examples\n --------\n >>> import numpy as np\n >>> np.geterr()\n {'divide': 'warn', 'over': 'warn', 'under': 'ignore', 'invalid': 'warn'}\n >>> np.arange(3.) / np.arange(3.) # doctest: +SKIP\n array([nan, 1., 1.])\n RuntimeWarning: invalid value encountered in divide\n\n >>> oldsettings = np.seterr(all='warn', invalid='raise')\n >>> np.geterr()\n {'divide': 'warn', 'over': 'warn', 'under': 'warn', 'invalid': 'raise'}\n >>> np.arange(3.) / np.arange(3.)\n Traceback (most recent call last):\n ...\n FloatingPointError: invalid value encountered in divide\n >>> oldsettings = np.seterr(**oldsettings) # restore original\n\n \"\"\"\n res = _get_extobj_dict()\n # The \"geterr\" doesn't include call and bufsize,:\n res.pop(\"call\", None)\n res.pop(\"bufsize\", None)\n return res\n\n\n@set_module('numpy')\ndef setbufsize(size):\n \"\"\"\n Set the size of the buffer used in ufuncs.\n\n .. versionchanged:: 2.0\n The scope of setting the buffer is tied to the `numpy.errstate`\n context. Exiting a ``with errstate():`` will also restore the bufsize.\n\n Parameters\n ----------\n size : int\n Size of buffer.\n\n Returns\n -------\n bufsize : int\n Previous size of ufunc buffer in bytes.\n\n Notes\n -----\n **Concurrency note:** see :doc:`/reference/routines.err`\n\n Examples\n --------\n When exiting a `numpy.errstate` context manager the bufsize is restored:\n\n >>> import numpy as np\n >>> with np.errstate():\n ... np.setbufsize(4096)\n ... print(np.getbufsize())\n ...\n 8192\n 4096\n >>> np.getbufsize()\n 8192\n\n \"\"\"\n if size < 0:\n raise ValueError(\"buffer size must be non-negative\")\n old = _get_extobj_dict()[\"bufsize\"]\n extobj = _make_extobj(bufsize=size)\n _extobj_contextvar.set(extobj)\n return old\n\n\n@set_module('numpy')\ndef getbufsize():\n \"\"\"\n Return the size of the buffer used in ufuncs.\n\n Returns\n -------\n getbufsize : int\n Size of ufunc buffer in bytes.\n\n Notes\n -----\n\n **Concurrency note:** see :doc:`/reference/routines.err`\n\n\n Examples\n --------\n >>> import numpy as np\n >>> np.getbufsize()\n 8192\n\n \"\"\"\n return _get_extobj_dict()[\"bufsize\"]\n\n\n@set_module('numpy')\ndef seterrcall(func):\n \"\"\"\n Set the floating-point error callback function or log object.\n\n There are two ways to capture floating-point error messages. The first\n is to set the error-handler to 'call', using `seterr`. Then, set\n the function to call using this function.\n\n The second is to set the error-handler to 'log', using `seterr`.\n Floating-point errors then trigger a call to the 'write' method of\n the provided object.\n\n Parameters\n ----------\n func : callable f(err, flag) or object with write method\n Function to call upon floating-point errors ('call'-mode) or\n object whose 'write' method is used to log such message ('log'-mode).\n\n The call function takes two arguments. The first is a string describing\n the type of error (such as \"divide by zero\", \"overflow\", \"underflow\",\n or \"invalid value\"), and the second is the status flag. The flag is a\n byte, whose four least-significant bits indicate the type of error, one\n of \"divide\", \"over\", \"under\", \"invalid\"::\n\n [0 0 0 0 divide over under invalid]\n\n In other words, ``flags = divide + 2*over + 4*under + 8*invalid``.\n\n If an object is provided, its write method should take one argument,\n a string.\n\n Returns\n -------\n h : callable, log instance or None\n The old error handler.\n\n See Also\n --------\n seterr, geterr, geterrcall\n\n Notes\n -----\n\n **Concurrency note:** see :doc:`/reference/routines.err`\n\n Examples\n --------\n Callback upon error:\n\n >>> def err_handler(type, flag):\n ... print(\"Floating point error (%s), with flag %s\" % (type, flag))\n ...\n\n >>> import numpy as np\n\n >>> orig_handler = np.seterrcall(err_handler)\n >>> orig_err = np.seterr(all='call')\n\n >>> np.array([1, 2, 3]) / 0.0\n Floating point error (divide by zero), with flag 1\n array([inf, inf, inf])\n\n >>> np.seterrcall(orig_handler)\n \n >>> np.seterr(**orig_err)\n {'divide': 'call', 'over': 'call', 'under': 'call', 'invalid': 'call'}\n\n Log error message:\n\n >>> class Log:\n ... def write(self, msg):\n ... print(\"LOG: %s\" % msg)\n ...\n\n >>> log = Log()\n >>> saved_handler = np.seterrcall(log)\n >>> save_err = np.seterr(all='log')\n\n >>> np.array([1, 2, 3]) / 0.0\n LOG: Warning: divide by zero encountered in divide\n array([inf, inf, inf])\n\n >>> np.seterrcall(orig_handler)\n \n >>> np.seterr(**orig_err)\n {'divide': 'log', 'over': 'log', 'under': 'log', 'invalid': 'log'}\n\n \"\"\"\n old = _get_extobj_dict()[\"call\"]\n extobj = _make_extobj(call=func)\n _extobj_contextvar.set(extobj)\n return old\n\n\n@set_module('numpy')\ndef geterrcall():\n \"\"\"\n Return the current callback function used on floating-point errors.\n\n When the error handling for a floating-point error (one of \"divide\",\n \"over\", \"under\", or \"invalid\") is set to 'call' or 'log', the function\n that is called or the log instance that is written to is returned by\n `geterrcall`. This function or log instance has been set with\n `seterrcall`.\n\n Returns\n -------\n errobj : callable, log instance or None\n The current error handler. If no handler was set through `seterrcall`,\n ``None`` is returned.\n\n See Also\n --------\n seterrcall, seterr, geterr\n\n Notes\n -----\n For complete documentation of the types of floating-point exceptions and\n treatment options, see `seterr`.\n\n **Concurrency note:** see :ref:`fp_error_handling`\n\n Examples\n --------\n >>> import numpy as np\n >>> np.geterrcall() # we did not yet set a handler, returns None\n\n >>> orig_settings = np.seterr(all='call')\n >>> def err_handler(type, flag):\n ... print(\"Floating point error (%s), with flag %s\" % (type, flag))\n >>> old_handler = np.seterrcall(err_handler)\n >>> np.array([1, 2, 3]) / 0.0\n Floating point error (divide by zero), with flag 1\n array([inf, inf, inf])\n\n >>> cur_handler = np.geterrcall()\n >>> cur_handler is err_handler\n True\n >>> old_settings = np.seterr(**orig_settings) # restore original\n >>> old_handler = np.seterrcall(None) # restore original\n\n \"\"\"\n return _get_extobj_dict()[\"call\"]\n\n\nclass _unspecified:\n pass\n\n\n_Unspecified = _unspecified()\n\n\n@set_module('numpy')\nclass errstate:\n \"\"\"\n errstate(**kwargs)\n\n Context manager for floating-point error handling.\n\n Using an instance of `errstate` as a context manager allows statements in\n that context to execute with a known error handling behavior. Upon entering\n the context the error handling is set with `seterr` and `seterrcall`, and\n upon exiting it is reset to what it was before.\n\n .. versionchanged:: 1.17.0\n `errstate` is also usable as a function decorator, saving\n a level of indentation if an entire function is wrapped.\n\n .. versionchanged:: 2.0\n `errstate` is now fully thread and asyncio safe, but may not be\n entered more than once.\n It is not safe to decorate async functions using ``errstate``.\n\n Parameters\n ----------\n kwargs : {divide, over, under, invalid}\n Keyword arguments. The valid keywords are the possible floating-point\n exceptions. Each keyword should have a string value that defines the\n treatment for the particular error. Possible values are\n {'ignore', 'warn', 'raise', 'call', 'print', 'log'}.\n\n See Also\n --------\n seterr, geterr, seterrcall, geterrcall\n\n Notes\n -----\n For complete documentation of the types of floating-point exceptions and\n treatment options, see `seterr`.\n\n **Concurrency note:** see :ref:`fp_error_handling`\n\n Examples\n --------\n >>> import numpy as np\n >>> olderr = np.seterr(all='ignore') # Set error handling to known state.\n\n >>> np.arange(3) / 0.\n array([nan, inf, inf])\n >>> with np.errstate(divide='ignore'):\n ... np.arange(3) / 0.\n array([nan, inf, inf])\n\n >>> np.sqrt(-1)\n np.float64(nan)\n >>> with np.errstate(invalid='raise'):\n ... np.sqrt(-1)\n Traceback (most recent call last):\n File \"\", line 2, in \n FloatingPointError: invalid value encountered in sqrt\n\n Outside the context the error handling behavior has not changed:\n\n >>> np.geterr()\n {'divide': 'ignore', 'over': 'ignore', 'under': 'ignore', 'invalid': 'ignore'}\n >>> olderr = np.seterr(**olderr) # restore original state\n\n \"\"\"\n __slots__ = (\n \"_all\",\n \"_call\",\n \"_divide\",\n \"_invalid\",\n \"_over\",\n \"_token\",\n \"_under\",\n )\n\n def __init__(self, *, call=_Unspecified,\n all=None, divide=None, over=None, under=None, invalid=None):\n self._token = None\n self._call = call\n self._all = all\n self._divide = divide\n self._over = over\n self._under = under\n self._invalid = invalid\n\n def __enter__(self):\n # Note that __call__ duplicates much of this logic\n if self._token is not None:\n raise TypeError(\"Cannot enter `np.errstate` twice.\")\n if self._call is _Unspecified:\n extobj = _make_extobj(\n all=self._all, divide=self._divide, over=self._over,\n under=self._under, invalid=self._invalid)\n else:\n extobj = _make_extobj(\n call=self._call,\n all=self._all, divide=self._divide, over=self._over,\n under=self._under, invalid=self._invalid)\n\n self._token = _extobj_contextvar.set(extobj)\n\n def __exit__(self, *exc_info):\n _extobj_contextvar.reset(self._token)\n\n def __call__(self, func):\n # We need to customize `__call__` compared to `ContextDecorator`\n # because we must store the token per-thread so cannot store it on\n # the instance (we could create a new instance for this).\n # This duplicates the code from `__enter__`.\n @functools.wraps(func)\n def inner(*args, **kwargs):\n if self._call is _Unspecified:\n extobj = _make_extobj(\n all=self._all, divide=self._divide, over=self._over,\n under=self._under, invalid=self._invalid)\n else:\n extobj = _make_extobj(\n call=self._call,\n all=self._all, divide=self._divide, over=self._over,\n under=self._under, invalid=self._invalid)\n\n _token = _extobj_contextvar.set(extobj)\n try:\n # Call the original, decorated, function:\n return func(*args, **kwargs)\n finally:\n _extobj_contextvar.reset(_token)\n\n return inner\n", 515]}, "functions": {"_hypothesis_value (/home/gaogaotiantian/programs/viztracer/example/src/gradient_descent.py:36)": ["/home/gaogaotiantian/programs/viztracer/example/src/gradient_descent.py", 36], "calculate_hypothesis_value (/home/gaogaotiantian/programs/viztracer/example/src/gradient_descent.py:64)": ["/home/gaogaotiantian/programs/viztracer/example/src/gradient_descent.py", 64], "output (/home/gaogaotiantian/programs/viztracer/example/src/gradient_descent.py:52)": ["/home/gaogaotiantian/programs/viztracer/example/src/gradient_descent.py", 52], "_error (/home/gaogaotiantian/programs/viztracer/example/src/gradient_descent.py:25)": ["/home/gaogaotiantian/programs/viztracer/example/src/gradient_descent.py", 25], "summation_of_cost_derivative (/home/gaogaotiantian/programs/viztracer/example/src/gradient_descent.py:77)": ["/home/gaogaotiantian/programs/viztracer/example/src/gradient_descent.py", 77], "get_cost_derivative (/home/gaogaotiantian/programs/viztracer/example/src/gradient_descent.py:95)": ["/home/gaogaotiantian/programs/viztracer/example/src/gradient_descent.py", 95], "_allclose_dispatcher (/home/gaogaotiantian/programs/viztracer/venv/lib/python3.12/site-packages/numpy/_core/numeric.py:2273)": ["/home/gaogaotiantian/programs/viztracer/venv/lib/python3.12/site-packages/numpy/_core/numeric.py", 2273], "_isclose_dispatcher (/home/gaogaotiantian/programs/viztracer/venv/lib/python3.12/site-packages/numpy/_core/numeric.py:2367)": ["/home/gaogaotiantian/programs/viztracer/venv/lib/python3.12/site-packages/numpy/_core/numeric.py", 2367], "isclose.. (/home/gaogaotiantian/programs/viztracer/venv/lib/python3.12/site-packages/numpy/_core/numeric.py:2463)": ["/home/gaogaotiantian/programs/viztracer/venv/lib/python3.12/site-packages/numpy/_core/numeric.py", 2463], "result_type (/home/gaogaotiantian/programs/viztracer/venv/lib/python3.12/site-packages/numpy/_core/multiarray.py:710)": ["/home/gaogaotiantian/programs/viztracer/venv/lib/python3.12/site-packages/numpy/_core/multiarray.py", 710], "_all_dispatcher (/home/gaogaotiantian/programs/viztracer/venv/lib/python3.12/site-packages/numpy/_core/fromnumeric.py:2543)": ["/home/gaogaotiantian/programs/viztracer/venv/lib/python3.12/site-packages/numpy/_core/fromnumeric.py", 2543], "_all (/home/gaogaotiantian/programs/viztracer/venv/lib/python3.12/site-packages/numpy/_core/_methods.py:64)": ["/home/gaogaotiantian/programs/viztracer/venv/lib/python3.12/site-packages/numpy/_core/_methods.py", 64], "_wrapreduction_any_all (/home/gaogaotiantian/programs/viztracer/venv/lib/python3.12/site-packages/numpy/_core/fromnumeric.py:86)": ["/home/gaogaotiantian/programs/viztracer/venv/lib/python3.12/site-packages/numpy/_core/fromnumeric.py", 86], "all (/home/gaogaotiantian/programs/viztracer/venv/lib/python3.12/site-packages/numpy/_core/fromnumeric.py:2548)": ["/home/gaogaotiantian/programs/viztracer/venv/lib/python3.12/site-packages/numpy/_core/fromnumeric.py", 2548], "errstate.__init__ (/home/gaogaotiantian/programs/viztracer/venv/lib/python3.12/site-packages/numpy/_core/_ufunc_config.py:462)": ["/home/gaogaotiantian/programs/viztracer/venv/lib/python3.12/site-packages/numpy/_core/_ufunc_config.py", 462], "errstate.__enter__ (/home/gaogaotiantian/programs/viztracer/venv/lib/python3.12/site-packages/numpy/_core/_ufunc_config.py:472)": ["/home/gaogaotiantian/programs/viztracer/venv/lib/python3.12/site-packages/numpy/_core/_ufunc_config.py", 472], "errstate.__exit__ (/home/gaogaotiantian/programs/viztracer/venv/lib/python3.12/site-packages/numpy/_core/_ufunc_config.py:488)": ["/home/gaogaotiantian/programs/viztracer/venv/lib/python3.12/site-packages/numpy/_core/_ufunc_config.py", 488], "isclose (/home/gaogaotiantian/programs/viztracer/venv/lib/python3.12/site-packages/numpy/_core/numeric.py:2371)": ["/home/gaogaotiantian/programs/viztracer/venv/lib/python3.12/site-packages/numpy/_core/numeric.py", 2371], "allclose (/home/gaogaotiantian/programs/viztracer/venv/lib/python3.12/site-packages/numpy/_core/numeric.py:2277)": ["/home/gaogaotiantian/programs/viztracer/venv/lib/python3.12/site-packages/numpy/_core/numeric.py", 2277], "run_gradient_descent (/home/gaogaotiantian/programs/viztracer/example/src/gradient_descent.py:106)": ["/home/gaogaotiantian/programs/viztracer/example/src/gradient_descent.py", 106], "test_gradient_descent (/home/gaogaotiantian/programs/viztracer/example/src/gradient_descent.py:134)": ["/home/gaogaotiantian/programs/viztracer/example/src/gradient_descent.py", 134]}}} ================================================ FILE: example/json/logging_integration.json ================================================ {"traceEvents": [{"ph": "M", "pid": 222316, "tid": 222316, "name": "process_name", "args": {"name": "MainProcess"}}, {"ph": "M", "pid": 222316, "tid": 222316, "name": "thread_name", "args": {"name": "MainThread"}}, {"pid": 222316, "tid": 222316, "ts": 81995630308.779, "ph": "i", "cat": "instant", "name": "logging - 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It has been designed such\nthat it can be bootstrapped into Python as the implementation of import. As\nsuch it requires the injection of specific modules and attributes in order to\nwork. One should use importlib as the public-facing version of this module.\n\n\"\"\"\n#\n# IMPORTANT: Whenever making changes to this module, be sure to run a top-level\n# `make regen-importlib` followed by `make` in order to get the frozen version\n# of the module updated. Not doing so will result in the Makefile to fail for\n# all others who don't have a ./python around to freeze the module\n# in the early stages of compilation.\n#\n\n# See importlib._setup() for what is injected into the global namespace.\n\n# When editing this code be aware that code executed at import time CANNOT\n# reference any injected objects! This includes not only global code but also\n# anything specified at the class level.\n\ndef _object_name(obj):\n try:\n return obj.__qualname__\n except AttributeError:\n return type(obj).__qualname__\n\n# Bootstrap-related code ######################################################\n\n# Modules injected manually by _setup()\n_thread = None\n_warnings = None\n_weakref = None\n\n# Import done by _install_external_importers()\n_bootstrap_external = None\n\n\ndef _wrap(new, old):\n \"\"\"Simple substitute for functools.update_wrapper.\"\"\"\n for replace in ['__module__', '__name__', '__qualname__', '__doc__']:\n if hasattr(old, replace):\n setattr(new, replace, getattr(old, replace))\n new.__dict__.update(old.__dict__)\n\n\ndef _new_module(name):\n return type(sys)(name)\n\n\n# Module-level locking ########################################################\n\n# For a list that can have a weakref to it.\nclass _List(list):\n pass\n\n\n# Copied from weakref.py with some simplifications and modifications unique to\n# bootstrapping importlib. Many methods were simply deleting for simplicity, so if they\n# are needed in the future they may work if simply copied back in.\nclass _WeakValueDictionary:\n\n def __init__(self):\n self_weakref = _weakref.ref(self)\n\n # Inlined to avoid issues with inheriting from _weakref.ref before _weakref is\n # set by _setup(). Since there's only one instance of this class, this is\n # not expensive.\n class KeyedRef(_weakref.ref):\n\n __slots__ = \"key\",\n\n def __new__(type, ob, key):\n self = super().__new__(type, ob, type.remove)\n self.key = key\n return self\n\n def __init__(self, ob, key):\n super().__init__(ob, self.remove)\n\n @staticmethod\n def remove(wr):\n nonlocal self_weakref\n\n self = self_weakref()\n if self is not None:\n if self._iterating:\n self._pending_removals.append(wr.key)\n else:\n _weakref._remove_dead_weakref(self.data, wr.key)\n\n self._KeyedRef = KeyedRef\n self.clear()\n\n def clear(self):\n self._pending_removals = []\n self._iterating = set()\n self.data = {}\n\n def _commit_removals(self):\n pop = self._pending_removals.pop\n d = self.data\n while True:\n try:\n key = pop()\n except IndexError:\n return\n _weakref._remove_dead_weakref(d, key)\n\n def get(self, key, default=None):\n if self._pending_removals:\n self._commit_removals()\n try:\n wr = self.data[key]\n except KeyError:\n return default\n else:\n if (o := wr()) is None:\n return default\n else:\n return o\n\n def setdefault(self, key, default=None):\n try:\n o = self.data[key]()\n except KeyError:\n o = None\n if o is None:\n if self._pending_removals:\n self._commit_removals()\n self.data[key] = self._KeyedRef(default, key)\n return default\n else:\n return o\n\n\n# A dict mapping module names to weakrefs of _ModuleLock instances.\n# Dictionary protected by the global import lock.\n_module_locks = {}\n\n# A dict mapping thread IDs to weakref'ed lists of _ModuleLock instances.\n# This maps a thread to the module locks it is blocking on acquiring. The\n# values are lists because a single thread could perform a re-entrant import\n# and be \"in the process\" of blocking on locks for more than one module. A\n# thread can be \"in the process\" because a thread cannot actually block on\n# acquiring more than one lock but it can have set up bookkeeping that reflects\n# that it intends to block on acquiring more than one lock.\n#\n# The dictionary uses a WeakValueDictionary to avoid keeping unnecessary\n# lists around, regardless of GC runs. This way there's no memory leak if\n# the list is no longer needed (GH-106176).\n_blocking_on = None\n\n\nclass _BlockingOnManager:\n \"\"\"A context manager responsible to updating ``_blocking_on``.\"\"\"\n def __init__(self, thread_id, lock):\n self.thread_id = thread_id\n self.lock = lock\n\n def __enter__(self):\n \"\"\"Mark the running thread as waiting for self.lock. via _blocking_on.\"\"\"\n # Interactions with _blocking_on are *not* protected by the global\n # import lock here because each thread only touches the state that it\n # owns (state keyed on its thread id). The global import lock is\n # re-entrant (i.e., a single thread may take it more than once) so it\n # wouldn't help us be correct in the face of re-entrancy either.\n\n self.blocked_on = _blocking_on.setdefault(self.thread_id, _List())\n self.blocked_on.append(self.lock)\n\n def __exit__(self, *args, **kwargs):\n \"\"\"Remove self.lock from this thread's _blocking_on list.\"\"\"\n self.blocked_on.remove(self.lock)\n\n\nclass _DeadlockError(RuntimeError):\n pass\n\n\n\ndef _has_deadlocked(target_id, *, seen_ids, candidate_ids, blocking_on):\n \"\"\"Check if 'target_id' is holding the same lock as another thread(s).\n\n The search within 'blocking_on' starts with the threads listed in\n 'candidate_ids'. 'seen_ids' contains any threads that are considered\n already traversed in the search.\n\n Keyword arguments:\n target_id -- The thread id to try to reach.\n seen_ids -- A set of threads that have already been visited.\n candidate_ids -- The thread ids from which to begin.\n blocking_on -- A dict representing the thread/blocking-on graph. This may\n be the same object as the global '_blocking_on' but it is\n a parameter to reduce the impact that global mutable\n state has on the result of this function.\n \"\"\"\n if target_id in candidate_ids:\n # If we have already reached the target_id, we're done - signal that it\n # is reachable.\n return True\n\n # Otherwise, try to reach the target_id from each of the given candidate_ids.\n for tid in candidate_ids:\n if not (candidate_blocking_on := blocking_on.get(tid)):\n # There are no edges out from this node, skip it.\n continue\n elif tid in seen_ids:\n # bpo 38091: the chain of tid's we encounter here eventually leads\n # to a fixed point or a cycle, but does not reach target_id.\n # This means we would not actually deadlock. This can happen if\n # other threads are at the beginning of acquire() below.\n return False\n seen_ids.add(tid)\n\n # Follow the edges out from this thread.\n edges = [lock.owner for lock in candidate_blocking_on]\n if _has_deadlocked(target_id, seen_ids=seen_ids, candidate_ids=edges,\n blocking_on=blocking_on):\n return True\n\n return False\n\n\nclass _ModuleLock:\n \"\"\"A recursive lock implementation which is able to detect deadlocks\n (e.g. thread 1 trying to take locks A then B, and thread 2 trying to\n take locks B then A).\n \"\"\"\n\n def __init__(self, name):\n # Create an RLock for protecting the import process for the\n # corresponding module. Since it is an RLock, a single thread will be\n # able to take it more than once. This is necessary to support\n # re-entrancy in the import system that arises from (at least) signal\n # handlers and the garbage collector. Consider the case of:\n #\n # import foo\n # -> ...\n # -> importlib._bootstrap._ModuleLock.acquire\n # -> ...\n # -> \n # -> __del__\n # -> import foo\n # -> ...\n # -> importlib._bootstrap._ModuleLock.acquire\n # -> _BlockingOnManager.__enter__\n #\n # If a different thread than the running one holds the lock then the\n # thread will have to block on taking the lock, which is what we want\n # for thread safety.\n self.lock = _thread.RLock()\n self.wakeup = _thread.allocate_lock()\n\n # The name of the module for which this is a lock.\n self.name = name\n\n # Can end up being set to None if this lock is not owned by any thread\n # or the thread identifier for the owning thread.\n self.owner = None\n\n # Represent the number of times the owning thread has acquired this lock\n # via a list of True. This supports RLock-like (\"re-entrant lock\")\n # behavior, necessary in case a single thread is following a circular\n # import dependency and needs to take the lock for a single module\n # more than once.\n #\n # Counts are represented as a list of True because list.append(True)\n # and list.pop() are both atomic and thread-safe in CPython and it's hard\n # to find another primitive with the same properties.\n self.count = []\n\n # This is a count of the number of threads that are blocking on\n # self.wakeup.acquire() awaiting to get their turn holding this module\n # lock. When the module lock is released, if this is greater than\n # zero, it is decremented and `self.wakeup` is released one time. The\n # intent is that this will let one other thread make more progress on\n # acquiring this module lock. This repeats until all the threads have\n # gotten a turn.\n #\n # This is incremented in self.acquire() when a thread notices it is\n # going to have to wait for another thread to finish.\n #\n # See the comment above count for explanation of the representation.\n self.waiters = []\n\n def has_deadlock(self):\n # To avoid deadlocks for concurrent or re-entrant circular imports,\n # look at _blocking_on to see if any threads are blocking\n # on getting the import lock for any module for which the import lock\n # is held by this thread.\n return _has_deadlocked(\n # Try to find this thread.\n target_id=_thread.get_ident(),\n seen_ids=set(),\n # Start from the thread that holds the import lock for this\n # module.\n candidate_ids=[self.owner],\n # Use the global \"blocking on\" state.\n blocking_on=_blocking_on,\n )\n\n def acquire(self):\n \"\"\"\n Acquire the module lock. If a potential deadlock is detected,\n a _DeadlockError is raised.\n Otherwise, the lock is always acquired and True is returned.\n \"\"\"\n tid = _thread.get_ident()\n with _BlockingOnManager(tid, self):\n while True:\n # Protect interaction with state on self with a per-module\n # lock. This makes it safe for more than one thread to try to\n # acquire the lock for a single module at the same time.\n with self.lock:\n if self.count == [] or self.owner == tid:\n # If the lock for this module is unowned then we can\n # take the lock immediately and succeed. If the lock\n # for this module is owned by the running thread then\n # we can also allow the acquire to succeed. This\n # supports circular imports (thread T imports module A\n # which imports module B which imports module A).\n self.owner = tid\n self.count.append(True)\n return True\n\n # At this point we know the lock is held (because count !=\n # 0) by another thread (because owner != tid). We'll have\n # to get in line to take the module lock.\n\n # But first, check to see if this thread would create a\n # deadlock by acquiring this module lock. If it would\n # then just stop with an error.\n #\n # It's not clear who is expected to handle this error.\n # There is one handler in _lock_unlock_module but many\n # times this method is called when entering the context\n # manager _ModuleLockManager instead - so _DeadlockError\n # will just propagate up to application code.\n #\n # This seems to be more than just a hypothetical -\n # https://stackoverflow.com/questions/59509154\n # https://github.com/encode/django-rest-framework/issues/7078\n if self.has_deadlock():\n raise _DeadlockError(f'deadlock detected by {self!r}')\n\n # Check to see if we're going to be able to acquire the\n # lock. If we are going to have to wait then increment\n # the waiters so `self.release` will know to unblock us\n # later on. We do this part non-blockingly so we don't\n # get stuck here before we increment waiters. We have\n # this extra acquire call (in addition to the one below,\n # outside the self.lock context manager) to make sure\n # self.wakeup is held when the next acquire is called (so\n # we block). This is probably needlessly complex and we\n # should just take self.wakeup in the return codepath\n # above.\n if self.wakeup.acquire(False):\n self.waiters.append(None)\n\n # Now take the lock in a blocking fashion. This won't\n # complete until the thread holding this lock\n # (self.owner) calls self.release.\n self.wakeup.acquire()\n\n # Taking the lock has served its purpose (making us wait), so we can\n # give it up now. We'll take it w/o blocking again on the\n # next iteration around this 'while' loop.\n self.wakeup.release()\n\n def release(self):\n tid = _thread.get_ident()\n with self.lock:\n if self.owner != tid:\n raise RuntimeError('cannot release un-acquired lock')\n assert len(self.count) > 0\n self.count.pop()\n if not len(self.count):\n self.owner = None\n if len(self.waiters) > 0:\n self.waiters.pop()\n self.wakeup.release()\n\n def __repr__(self):\n return f'_ModuleLock({self.name!r}) at {id(self)}'\n\n\nclass _DummyModuleLock:\n \"\"\"A simple _ModuleLock equivalent for Python builds without\n multi-threading support.\"\"\"\n\n def __init__(self, name):\n self.name = name\n self.count = 0\n\n def acquire(self):\n self.count += 1\n return True\n\n def release(self):\n if self.count == 0:\n raise RuntimeError('cannot release un-acquired lock')\n self.count -= 1\n\n def __repr__(self):\n return f'_DummyModuleLock({self.name!r}) at {id(self)}'\n\n\nclass _ModuleLockManager:\n\n def __init__(self, name):\n self._name = name\n self._lock = None\n\n def __enter__(self):\n self._lock = _get_module_lock(self._name)\n self._lock.acquire()\n\n def __exit__(self, *args, **kwargs):\n self._lock.release()\n\n\n# The following two functions are for consumption by Python/import.c.\n\ndef _get_module_lock(name):\n \"\"\"Get or create the module lock for a given module name.\n\n Acquire/release internally the global import lock to protect\n _module_locks.\"\"\"\n\n _imp.acquire_lock()\n try:\n try:\n lock = _module_locks[name]()\n except KeyError:\n lock = None\n\n if lock is None:\n if _thread is None:\n lock = _DummyModuleLock(name)\n else:\n lock = _ModuleLock(name)\n\n def cb(ref, name=name):\n _imp.acquire_lock()\n try:\n # bpo-31070: Check if another thread created a new lock\n # after the previous lock was destroyed\n # but before the weakref callback was called.\n if _module_locks.get(name) is ref:\n del _module_locks[name]\n finally:\n _imp.release_lock()\n\n _module_locks[name] = _weakref.ref(lock, cb)\n finally:\n _imp.release_lock()\n\n return lock\n\n\ndef _lock_unlock_module(name):\n \"\"\"Acquires then releases the module lock for a given module name.\n\n This is used to ensure a module is completely initialized, in the\n event it is being imported by another thread.\n \"\"\"\n lock = _get_module_lock(name)\n try:\n lock.acquire()\n except _DeadlockError:\n # Concurrent circular import, we'll accept a partially initialized\n # module object.\n pass\n else:\n lock.release()\n\n# Frame stripping magic ###############################################\ndef _call_with_frames_removed(f, *args, **kwds):\n \"\"\"remove_importlib_frames in import.c will always remove sequences\n of importlib frames that end with a call to this function\n\n Use it instead of a normal call in places where including the importlib\n frames introduces unwanted noise into the traceback (e.g. when executing\n module code)\n \"\"\"\n return f(*args, **kwds)\n\n\ndef _verbose_message(message, *args, verbosity=1):\n \"\"\"Print the message to stderr if -v/PYTHONVERBOSE is turned on.\"\"\"\n if sys.flags.verbose >= verbosity:\n if not message.startswith(('#', 'import ')):\n message = '# ' + message\n print(message.format(*args), file=sys.stderr)\n\n\ndef _requires_builtin(fxn):\n \"\"\"Decorator to verify the named module is built-in.\"\"\"\n def _requires_builtin_wrapper(self, fullname):\n if fullname not in sys.builtin_module_names:\n raise ImportError(f'{fullname!r} is not a built-in module',\n name=fullname)\n return fxn(self, fullname)\n _wrap(_requires_builtin_wrapper, fxn)\n return _requires_builtin_wrapper\n\n\ndef _requires_frozen(fxn):\n \"\"\"Decorator to verify the named module is frozen.\"\"\"\n def _requires_frozen_wrapper(self, fullname):\n if not _imp.is_frozen(fullname):\n raise ImportError(f'{fullname!r} is not a frozen module',\n name=fullname)\n return fxn(self, fullname)\n _wrap(_requires_frozen_wrapper, fxn)\n return _requires_frozen_wrapper\n\n\n# Typically used by loader classes as a method replacement.\ndef _load_module_shim(self, fullname):\n \"\"\"Load the specified module into sys.modules and return it.\n\n This method is deprecated. Use loader.exec_module() instead.\n\n \"\"\"\n msg = (\"the load_module() method is deprecated and slated for removal in \"\n \"Python 3.12; use exec_module() instead\")\n _warnings.warn(msg, DeprecationWarning)\n spec = spec_from_loader(fullname, self)\n if fullname in sys.modules:\n module = sys.modules[fullname]\n _exec(spec, module)\n return sys.modules[fullname]\n else:\n return _load(spec)\n\n# Module specifications #######################################################\n\ndef _module_repr(module):\n \"\"\"The implementation of ModuleType.__repr__().\"\"\"\n loader = getattr(module, '__loader__', None)\n if spec := getattr(module, \"__spec__\", None):\n return _module_repr_from_spec(spec)\n # Fall through to a catch-all which always succeeds.\n try:\n name = module.__name__\n except AttributeError:\n name = '?'\n try:\n filename = module.__file__\n except AttributeError:\n if loader is None:\n return f''\n else:\n return f''\n else:\n return f''\n\n\nclass ModuleSpec:\n \"\"\"The specification for a module, used for loading.\n\n A module's spec is the source for information about the module. For\n data associated with the module, including source, use the spec's\n loader.\n\n `name` is the absolute name of the module. `loader` is the loader\n to use when loading the module. `parent` is the name of the\n package the module is in. The parent is derived from the name.\n\n `is_package` determines if the module is considered a package or\n not. On modules this is reflected by the `__path__` attribute.\n\n `origin` is the specific location used by the loader from which to\n load the module, if that information is available. When filename is\n set, origin will match.\n\n `has_location` indicates that a spec's \"origin\" reflects a location.\n When this is True, `__file__` attribute of the module is set.\n\n `cached` is the location of the cached bytecode file, if any. It\n corresponds to the `__cached__` attribute.\n\n `submodule_search_locations` is the sequence of path entries to\n search when importing submodules. If set, is_package should be\n True--and False otherwise.\n\n Packages are simply modules that (may) have submodules. If a spec\n has a non-None value in `submodule_search_locations`, the import\n system will consider modules loaded from the spec as packages.\n\n Only finders (see importlib.abc.MetaPathFinder and\n importlib.abc.PathEntryFinder) should modify ModuleSpec instances.\n\n \"\"\"\n\n def __init__(self, name, loader, *, origin=None, loader_state=None,\n is_package=None):\n self.name = name\n self.loader = loader\n self.origin = origin\n self.loader_state = loader_state\n self.submodule_search_locations = [] if is_package else None\n self._uninitialized_submodules = []\n\n # file-location attributes\n self._set_fileattr = False\n self._cached = None\n\n def __repr__(self):\n args = [f'name={self.name!r}', f'loader={self.loader!r}']\n if self.origin is not None:\n args.append(f'origin={self.origin!r}')\n if self.submodule_search_locations is not None:\n args.append(f'submodule_search_locations={self.submodule_search_locations}')\n return f'{self.__class__.__name__}({\", \".join(args)})'\n\n def __eq__(self, other):\n smsl = self.submodule_search_locations\n try:\n return (self.name == other.name and\n self.loader == other.loader and\n self.origin == other.origin and\n smsl == other.submodule_search_locations and\n self.cached == other.cached and\n self.has_location == other.has_location)\n except AttributeError:\n return NotImplemented\n\n @property\n def cached(self):\n if self._cached is None:\n if self.origin is not None and self._set_fileattr:\n if _bootstrap_external is None:\n raise NotImplementedError\n self._cached = _bootstrap_external._get_cached(self.origin)\n return self._cached\n\n @cached.setter\n def cached(self, cached):\n self._cached = cached\n\n @property\n def parent(self):\n \"\"\"The name of the module's parent.\"\"\"\n if self.submodule_search_locations is None:\n return self.name.rpartition('.')[0]\n else:\n return self.name\n\n @property\n def has_location(self):\n return self._set_fileattr\n\n @has_location.setter\n def has_location(self, value):\n self._set_fileattr = bool(value)\n\n\ndef spec_from_loader(name, loader, *, origin=None, is_package=None):\n \"\"\"Return a module spec based on various loader methods.\"\"\"\n if origin is None:\n origin = getattr(loader, '_ORIGIN', None)\n\n if not origin and hasattr(loader, 'get_filename'):\n if _bootstrap_external is None:\n raise NotImplementedError\n spec_from_file_location = _bootstrap_external.spec_from_file_location\n\n if is_package is None:\n return spec_from_file_location(name, loader=loader)\n search = [] if is_package else None\n return spec_from_file_location(name, loader=loader,\n submodule_search_locations=search)\n\n if is_package is None:\n if hasattr(loader, 'is_package'):\n try:\n is_package = loader.is_package(name)\n except ImportError:\n is_package = None # aka, undefined\n else:\n # the default\n is_package = False\n\n return ModuleSpec(name, loader, origin=origin, is_package=is_package)\n\n\ndef _spec_from_module(module, loader=None, origin=None):\n # This function is meant for use in _setup().\n try:\n spec = module.__spec__\n except AttributeError:\n pass\n else:\n if spec is not None:\n return spec\n\n name = module.__name__\n if loader is None:\n try:\n loader = module.__loader__\n except AttributeError:\n # loader will stay None.\n pass\n try:\n location = module.__file__\n except AttributeError:\n location = None\n if origin is None:\n if loader is not None:\n origin = getattr(loader, '_ORIGIN', None)\n if not origin and location is not None:\n origin = location\n try:\n cached = module.__cached__\n except AttributeError:\n cached = None\n try:\n submodule_search_locations = list(module.__path__)\n except AttributeError:\n submodule_search_locations = None\n\n spec = ModuleSpec(name, loader, origin=origin)\n spec._set_fileattr = False if location is None else (origin == location)\n spec.cached = cached\n spec.submodule_search_locations = submodule_search_locations\n return spec\n\n\ndef _init_module_attrs(spec, module, *, override=False):\n # The passed-in module may be not support attribute assignment,\n # in which case we simply don't set the attributes.\n # __name__\n if (override or getattr(module, '__name__', None) is None):\n try:\n module.__name__ = spec.name\n except AttributeError:\n pass\n # __loader__\n if override or getattr(module, '__loader__', None) is None:\n loader = spec.loader\n if loader is None:\n # A backward compatibility hack.\n if spec.submodule_search_locations is not None:\n if _bootstrap_external is None:\n raise NotImplementedError\n NamespaceLoader = _bootstrap_external.NamespaceLoader\n\n loader = NamespaceLoader.__new__(NamespaceLoader)\n loader._path = spec.submodule_search_locations\n spec.loader = loader\n # While the docs say that module.__file__ is not set for\n # built-in modules, and the code below will avoid setting it if\n # spec.has_location is false, this is incorrect for namespace\n # packages. Namespace packages have no location, but their\n # __spec__.origin is None, and thus their module.__file__\n # should also be None for consistency. While a bit of a hack,\n # this is the best place to ensure this consistency.\n #\n # See # https://docs.python.org/3/library/importlib.html#importlib.abc.Loader.load_module\n # and bpo-32305\n module.__file__ = None\n try:\n module.__loader__ = loader\n except AttributeError:\n pass\n # __package__\n if override or getattr(module, '__package__', None) is None:\n try:\n module.__package__ = spec.parent\n except AttributeError:\n pass\n # __spec__\n try:\n module.__spec__ = spec\n except AttributeError:\n pass\n # __path__\n if override or getattr(module, '__path__', None) is None:\n if spec.submodule_search_locations is not None:\n # XXX We should extend __path__ if it's already a list.\n try:\n module.__path__ = spec.submodule_search_locations\n except AttributeError:\n pass\n # __file__/__cached__\n if spec.has_location:\n if override or getattr(module, '__file__', None) is None:\n try:\n module.__file__ = spec.origin\n except AttributeError:\n pass\n\n if override or getattr(module, '__cached__', None) is None:\n if spec.cached is not None:\n try:\n module.__cached__ = spec.cached\n except AttributeError:\n pass\n return module\n\n\ndef module_from_spec(spec):\n \"\"\"Create a module based on the provided spec.\"\"\"\n # Typically loaders will not implement create_module().\n module = None\n if hasattr(spec.loader, 'create_module'):\n # If create_module() returns `None` then it means default\n # module creation should be used.\n module = spec.loader.create_module(spec)\n elif hasattr(spec.loader, 'exec_module'):\n raise ImportError('loaders that define exec_module() '\n 'must also define create_module()')\n if module is None:\n module = _new_module(spec.name)\n _init_module_attrs(spec, module)\n return module\n\n\ndef _module_repr_from_spec(spec):\n \"\"\"Return the repr to use for the module.\"\"\"\n name = '?' if spec.name is None else spec.name\n if spec.origin is None:\n loader = spec.loader\n if loader is None:\n return f''\n elif (\n _bootstrap_external is not None\n and isinstance(loader, _bootstrap_external.NamespaceLoader)\n ):\n return f''\n else:\n return f''\n else:\n if spec.has_location:\n return f''\n else:\n return f''\n\n\n# Used by importlib.reload() and _load_module_shim().\ndef _exec(spec, module):\n \"\"\"Execute the spec's specified module in an existing module's namespace.\"\"\"\n name = spec.name\n with _ModuleLockManager(name):\n if sys.modules.get(name) is not module:\n msg = f'module {name!r} not in sys.modules'\n raise ImportError(msg, name=name)\n try:\n if spec.loader is None:\n if spec.submodule_search_locations is None:\n raise ImportError('missing loader', name=spec.name)\n # Namespace package.\n _init_module_attrs(spec, module, override=True)\n else:\n _init_module_attrs(spec, module, override=True)\n if not hasattr(spec.loader, 'exec_module'):\n msg = (f\"{_object_name(spec.loader)}.exec_module() not found; \"\n \"falling back to load_module()\")\n _warnings.warn(msg, ImportWarning)\n spec.loader.load_module(name)\n else:\n spec.loader.exec_module(module)\n finally:\n # Update the order of insertion into sys.modules for module\n # clean-up at shutdown.\n module = sys.modules.pop(spec.name)\n sys.modules[spec.name] = module\n return module\n\n\ndef _load_backward_compatible(spec):\n # It is assumed that all callers have been warned about using load_module()\n # appropriately before calling this function.\n try:\n spec.loader.load_module(spec.name)\n except:\n if spec.name in sys.modules:\n module = sys.modules.pop(spec.name)\n sys.modules[spec.name] = module\n raise\n # The module must be in sys.modules at this point!\n # Move it to the end of sys.modules.\n module = sys.modules.pop(spec.name)\n sys.modules[spec.name] = module\n if getattr(module, '__loader__', None) is None:\n try:\n module.__loader__ = spec.loader\n except AttributeError:\n pass\n if getattr(module, '__package__', None) is None:\n try:\n # Since module.__path__ may not line up with\n # spec.submodule_search_paths, we can't necessarily rely\n # on spec.parent here.\n module.__package__ = module.__name__\n if not hasattr(module, '__path__'):\n module.__package__ = spec.name.rpartition('.')[0]\n except AttributeError:\n pass\n if getattr(module, '__spec__', None) is None:\n try:\n module.__spec__ = spec\n except AttributeError:\n pass\n return module\n\ndef _load_unlocked(spec):\n # A helper for direct use by the import system.\n if spec.loader is not None:\n # Not a namespace package.\n if not hasattr(spec.loader, 'exec_module'):\n msg = (f\"{_object_name(spec.loader)}.exec_module() not found; \"\n \"falling back to load_module()\")\n _warnings.warn(msg, ImportWarning)\n return _load_backward_compatible(spec)\n\n module = module_from_spec(spec)\n\n # This must be done before putting the module in sys.modules\n # (otherwise an optimization shortcut in import.c becomes\n # wrong).\n spec._initializing = True\n try:\n sys.modules[spec.name] = module\n try:\n if spec.loader is None:\n if spec.submodule_search_locations is None:\n raise ImportError('missing loader', name=spec.name)\n # A namespace package so do nothing.\n else:\n spec.loader.exec_module(module)\n except:\n try:\n del sys.modules[spec.name]\n except KeyError:\n pass\n raise\n # Move the module to the end of sys.modules.\n # We don't ensure that the import-related module attributes get\n # set in the sys.modules replacement case. Such modules are on\n # their own.\n module = sys.modules.pop(spec.name)\n sys.modules[spec.name] = module\n _verbose_message('import {!r} # {!r}', spec.name, spec.loader)\n finally:\n spec._initializing = False\n\n return module\n\n# A method used during testing of _load_unlocked() and by\n# _load_module_shim().\ndef _load(spec):\n \"\"\"Return a new module object, loaded by the spec's loader.\n\n The module is not added to its parent.\n\n If a module is already in sys.modules, that existing module gets\n clobbered.\n\n \"\"\"\n with _ModuleLockManager(spec.name):\n return _load_unlocked(spec)\n\n\n# Loaders #####################################################################\n\nclass BuiltinImporter:\n\n \"\"\"Meta path import for built-in modules.\n\n All methods are either class or static methods to avoid the need to\n instantiate the class.\n\n \"\"\"\n\n _ORIGIN = \"built-in\"\n\n @classmethod\n def find_spec(cls, fullname, path=None, target=None):\n if _imp.is_builtin(fullname):\n return spec_from_loader(fullname, cls, origin=cls._ORIGIN)\n else:\n return None\n\n @staticmethod\n def create_module(spec):\n \"\"\"Create a built-in module\"\"\"\n if spec.name not in sys.builtin_module_names:\n raise ImportError(f'{spec.name!r} is not a built-in module',\n name=spec.name)\n return _call_with_frames_removed(_imp.create_builtin, spec)\n\n @staticmethod\n def exec_module(module):\n \"\"\"Exec a built-in module\"\"\"\n _call_with_frames_removed(_imp.exec_builtin, module)\n\n @classmethod\n @_requires_builtin\n def get_code(cls, fullname):\n \"\"\"Return None as built-in modules do not have code objects.\"\"\"\n return None\n\n @classmethod\n @_requires_builtin\n def get_source(cls, fullname):\n \"\"\"Return None as built-in modules do not have source code.\"\"\"\n return None\n\n @classmethod\n @_requires_builtin\n def is_package(cls, fullname):\n \"\"\"Return False as built-in modules are never packages.\"\"\"\n return False\n\n load_module = classmethod(_load_module_shim)\n\n\nclass FrozenImporter:\n\n \"\"\"Meta path import for frozen modules.\n\n All methods are either class or static methods to avoid the need to\n instantiate the class.\n\n \"\"\"\n\n _ORIGIN = \"frozen\"\n\n @classmethod\n def _fix_up_module(cls, module):\n spec = module.__spec__\n state = spec.loader_state\n if state is None:\n # The module is missing FrozenImporter-specific values.\n\n # Fix up the spec attrs.\n origname = vars(module).pop('__origname__', None)\n assert origname, 'see PyImport_ImportFrozenModuleObject()'\n ispkg = hasattr(module, '__path__')\n assert _imp.is_frozen_package(module.__name__) == ispkg, ispkg\n filename, pkgdir = cls._resolve_filename(origname, spec.name, ispkg)\n spec.loader_state = type(sys.implementation)(\n filename=filename,\n origname=origname,\n )\n __path__ = spec.submodule_search_locations\n if ispkg:\n assert __path__ == [], __path__\n if pkgdir:\n spec.submodule_search_locations.insert(0, pkgdir)\n else:\n assert __path__ is None, __path__\n\n # Fix up the module attrs (the bare minimum).\n assert not hasattr(module, '__file__'), module.__file__\n if filename:\n try:\n module.__file__ = filename\n except AttributeError:\n pass\n if ispkg:\n if module.__path__ != __path__:\n assert module.__path__ == [], module.__path__\n module.__path__.extend(__path__)\n else:\n # These checks ensure that _fix_up_module() is only called\n # in the right places.\n __path__ = spec.submodule_search_locations\n ispkg = __path__ is not None\n # Check the loader state.\n assert sorted(vars(state)) == ['filename', 'origname'], state\n if state.origname:\n # The only frozen modules with \"origname\" set are stdlib modules.\n (__file__, pkgdir,\n ) = cls._resolve_filename(state.origname, spec.name, ispkg)\n assert state.filename == __file__, (state.filename, __file__)\n if pkgdir:\n assert __path__ == [pkgdir], (__path__, pkgdir)\n else:\n assert __path__ == ([] if ispkg else None), __path__\n else:\n __file__ = None\n assert state.filename is None, state.filename\n assert __path__ == ([] if ispkg else None), __path__\n # Check the file attrs.\n if __file__:\n assert hasattr(module, '__file__')\n assert module.__file__ == __file__, (module.__file__, __file__)\n else:\n assert not hasattr(module, '__file__'), module.__file__\n if ispkg:\n assert hasattr(module, '__path__')\n assert module.__path__ == __path__, (module.__path__, __path__)\n else:\n assert not hasattr(module, '__path__'), module.__path__\n assert not spec.has_location\n\n @classmethod\n def _resolve_filename(cls, fullname, alias=None, ispkg=False):\n if not fullname or not getattr(sys, '_stdlib_dir', None):\n return None, None\n try:\n sep = cls._SEP\n except AttributeError:\n sep = cls._SEP = '\\\\' if sys.platform == 'win32' else '/'\n\n if fullname != alias:\n if fullname.startswith('<'):\n fullname = fullname[1:]\n if not ispkg:\n fullname = f'{fullname}.__init__'\n else:\n ispkg = False\n relfile = fullname.replace('.', sep)\n if ispkg:\n pkgdir = f'{sys._stdlib_dir}{sep}{relfile}'\n filename = f'{pkgdir}{sep}__init__.py'\n else:\n pkgdir = None\n filename = f'{sys._stdlib_dir}{sep}{relfile}.py'\n return filename, pkgdir\n\n @classmethod\n def find_spec(cls, fullname, path=None, target=None):\n info = _call_with_frames_removed(_imp.find_frozen, fullname)\n if info is None:\n return None\n # We get the marshaled data in exec_module() (the loader\n # part of the importer), instead of here (the finder part).\n # The loader is the usual place to get the data that will\n # be loaded into the module. (For example, see _LoaderBasics\n # in _bootstra_external.py.) Most importantly, this importer\n # is simpler if we wait to get the data.\n # However, getting as much data in the finder as possible\n # to later load the module is okay, and sometimes important.\n # (That's why ModuleSpec.loader_state exists.) This is\n # especially true if it avoids throwing away expensive data\n # the loader would otherwise duplicate later and can be done\n # efficiently. In this case it isn't worth it.\n _, ispkg, origname = info\n spec = spec_from_loader(fullname, cls,\n origin=cls._ORIGIN,\n is_package=ispkg)\n filename, pkgdir = cls._resolve_filename(origname, fullname, ispkg)\n spec.loader_state = type(sys.implementation)(\n filename=filename,\n origname=origname,\n )\n if pkgdir:\n spec.submodule_search_locations.insert(0, pkgdir)\n return spec\n\n @staticmethod\n def create_module(spec):\n \"\"\"Set __file__, if able.\"\"\"\n module = _new_module(spec.name)\n try:\n filename = spec.loader_state.filename\n except AttributeError:\n pass\n else:\n if filename:\n module.__file__ = filename\n return module\n\n @staticmethod\n def exec_module(module):\n spec = module.__spec__\n name = spec.name\n code = _call_with_frames_removed(_imp.get_frozen_object, name)\n exec(code, module.__dict__)\n\n @classmethod\n def load_module(cls, fullname):\n \"\"\"Load a frozen module.\n\n This method is deprecated. Use exec_module() instead.\n\n \"\"\"\n # Warning about deprecation implemented in _load_module_shim().\n module = _load_module_shim(cls, fullname)\n info = _imp.find_frozen(fullname)\n assert info is not None\n _, ispkg, origname = info\n module.__origname__ = origname\n vars(module).pop('__file__', None)\n if ispkg:\n module.__path__ = []\n cls._fix_up_module(module)\n return module\n\n @classmethod\n @_requires_frozen\n def get_code(cls, fullname):\n \"\"\"Return the code object for the frozen module.\"\"\"\n return _imp.get_frozen_object(fullname)\n\n @classmethod\n @_requires_frozen\n def get_source(cls, fullname):\n \"\"\"Return None as frozen modules do not have source code.\"\"\"\n return None\n\n @classmethod\n @_requires_frozen\n def is_package(cls, fullname):\n \"\"\"Return True if the frozen module is a package.\"\"\"\n return _imp.is_frozen_package(fullname)\n\n\n# Import itself ###############################################################\n\nclass _ImportLockContext:\n\n \"\"\"Context manager for the import lock.\"\"\"\n\n def __enter__(self):\n \"\"\"Acquire the import lock.\"\"\"\n _imp.acquire_lock()\n\n def __exit__(self, exc_type, exc_value, exc_traceback):\n \"\"\"Release the import lock regardless of any raised exceptions.\"\"\"\n _imp.release_lock()\n\n\ndef _resolve_name(name, package, level):\n \"\"\"Resolve a relative module name to an absolute one.\"\"\"\n bits = package.rsplit('.', level - 1)\n if len(bits) < level:\n raise ImportError('attempted relative import beyond top-level package')\n base = bits[0]\n return f'{base}.{name}' if name else base\n\n\ndef _find_spec(name, path, target=None):\n \"\"\"Find a module's spec.\"\"\"\n meta_path = sys.meta_path\n if meta_path is None:\n # PyImport_Cleanup() is running or has been called.\n raise ImportError(\"sys.meta_path is None, Python is likely \"\n \"shutting down\")\n\n if not meta_path:\n _warnings.warn('sys.meta_path is empty', ImportWarning)\n\n # We check sys.modules here for the reload case. While a passed-in\n # target will usually indicate a reload there is no guarantee, whereas\n # sys.modules provides one.\n is_reload = name in sys.modules\n for finder in meta_path:\n with _ImportLockContext():\n try:\n find_spec = finder.find_spec\n except AttributeError:\n continue\n else:\n spec = find_spec(name, path, target)\n if spec is not None:\n # The parent import may have already imported this module.\n if not is_reload and name in sys.modules:\n module = sys.modules[name]\n try:\n __spec__ = module.__spec__\n except AttributeError:\n # We use the found spec since that is the one that\n # we would have used if the parent module hadn't\n # beaten us to the punch.\n return spec\n else:\n if __spec__ is None:\n return spec\n else:\n return __spec__\n else:\n return spec\n else:\n return None\n\n\ndef _sanity_check(name, package, level):\n \"\"\"Verify arguments are \"sane\".\"\"\"\n if not isinstance(name, str):\n raise TypeError(f'module name must be str, not {type(name)}')\n if level < 0:\n raise ValueError('level must be >= 0')\n if level > 0:\n if not isinstance(package, str):\n raise TypeError('__package__ not set to a string')\n elif not package:\n raise ImportError('attempted relative import with no known parent '\n 'package')\n if not name and level == 0:\n raise ValueError('Empty module name')\n\n\n_ERR_MSG_PREFIX = 'No module named '\n_ERR_MSG = _ERR_MSG_PREFIX + '{!r}'\n\ndef _find_and_load_unlocked(name, import_):\n path = None\n parent = name.rpartition('.')[0]\n parent_spec = None\n if parent:\n if parent not in sys.modules:\n _call_with_frames_removed(import_, parent)\n # Crazy side-effects!\n if name in sys.modules:\n return sys.modules[name]\n parent_module = sys.modules[parent]\n try:\n path = parent_module.__path__\n except AttributeError:\n msg = f'{_ERR_MSG_PREFIX}{name!r}; {parent!r} is not a package'\n raise ModuleNotFoundError(msg, name=name) from None\n parent_spec = parent_module.__spec__\n child = name.rpartition('.')[2]\n spec = _find_spec(name, path)\n if spec is None:\n raise ModuleNotFoundError(f'{_ERR_MSG_PREFIX}{name!r}', name=name)\n else:\n if parent_spec:\n # Temporarily add child we are currently importing to parent's\n # _uninitialized_submodules for circular import tracking.\n parent_spec._uninitialized_submodules.append(child)\n try:\n module = _load_unlocked(spec)\n finally:\n if parent_spec:\n parent_spec._uninitialized_submodules.pop()\n if parent:\n # Set the module as an attribute on its parent.\n parent_module = sys.modules[parent]\n try:\n setattr(parent_module, child, module)\n except AttributeError:\n msg = f\"Cannot set an attribute on {parent!r} for child module {child!r}\"\n _warnings.warn(msg, ImportWarning)\n return module\n\n\n_NEEDS_LOADING = object()\n\n\ndef _find_and_load(name, import_):\n \"\"\"Find and load the module.\"\"\"\n\n # Optimization: we avoid unneeded module locking if the module\n # already exists in sys.modules and is fully initialized.\n module = sys.modules.get(name, _NEEDS_LOADING)\n if (module is _NEEDS_LOADING or\n getattr(getattr(module, \"__spec__\", None), \"_initializing\", False)):\n with _ModuleLockManager(name):\n module = sys.modules.get(name, _NEEDS_LOADING)\n if module is _NEEDS_LOADING:\n return _find_and_load_unlocked(name, import_)\n\n # Optimization: only call _bootstrap._lock_unlock_module() if\n # module.__spec__._initializing is True.\n # NOTE: because of this, initializing must be set *before*\n # putting the new module in sys.modules.\n _lock_unlock_module(name)\n\n if module is None:\n message = f'import of {name} halted; None in sys.modules'\n raise ModuleNotFoundError(message, name=name)\n\n return module\n\n\ndef _gcd_import(name, package=None, level=0):\n \"\"\"Import and return the module based on its name, the package the call is\n being made from, and the level adjustment.\n\n This function represents the greatest common denominator of functionality\n between import_module and __import__. This includes setting __package__ if\n the loader did not.\n\n \"\"\"\n _sanity_check(name, package, level)\n if level > 0:\n name = _resolve_name(name, package, level)\n return _find_and_load(name, _gcd_import)\n\n\ndef _handle_fromlist(module, fromlist, import_, *, recursive=False):\n \"\"\"Figure out what __import__ should return.\n\n The import_ parameter is a callable which takes the name of module to\n import. It is required to decouple the function from assuming importlib's\n import implementation is desired.\n\n \"\"\"\n # The hell that is fromlist ...\n # If a package was imported, try to import stuff from fromlist.\n for x in fromlist:\n if not isinstance(x, str):\n if recursive:\n where = module.__name__ + '.__all__'\n else:\n where = \"``from list''\"\n raise TypeError(f\"Item in {where} must be str, \"\n f\"not {type(x).__name__}\")\n elif x == '*':\n if not recursive and hasattr(module, '__all__'):\n _handle_fromlist(module, module.__all__, import_,\n recursive=True)\n elif not hasattr(module, x):\n from_name = f'{module.__name__}.{x}'\n try:\n _call_with_frames_removed(import_, from_name)\n except ModuleNotFoundError as exc:\n # Backwards-compatibility dictates we ignore failed\n # imports triggered by fromlist for modules that don't\n # exist.\n if (exc.name == from_name and\n sys.modules.get(from_name, _NEEDS_LOADING) is not None):\n continue\n raise\n return module\n\n\ndef _calc___package__(globals):\n \"\"\"Calculate what __package__ should be.\n\n __package__ is not guaranteed to be defined or could be set to None\n to represent that its proper value is unknown.\n\n \"\"\"\n package = globals.get('__package__')\n spec = globals.get('__spec__')\n if package is not None:\n if spec is not None and package != spec.parent:\n _warnings.warn(\"__package__ != __spec__.parent \"\n f\"({package!r} != {spec.parent!r})\",\n DeprecationWarning, stacklevel=3)\n return package\n elif spec is not None:\n return spec.parent\n else:\n _warnings.warn(\"can't resolve package from __spec__ or __package__, \"\n \"falling back on __name__ and __path__\",\n ImportWarning, stacklevel=3)\n package = globals['__name__']\n if '__path__' not in globals:\n package = package.rpartition('.')[0]\n return package\n\n\ndef __import__(name, globals=None, locals=None, fromlist=(), level=0):\n \"\"\"Import a module.\n\n The 'globals' argument is used to infer where the import is occurring from\n to handle relative imports. The 'locals' argument is ignored. The\n 'fromlist' argument specifies what should exist as attributes on the module\n being imported (e.g. ``from module import ``). The 'level'\n argument represents the package location to import from in a relative\n import (e.g. ``from ..pkg import mod`` would have a 'level' of 2).\n\n \"\"\"\n if level == 0:\n module = _gcd_import(name)\n else:\n globals_ = globals if globals is not None else {}\n package = _calc___package__(globals_)\n module = _gcd_import(name, package, level)\n if not fromlist:\n # Return up to the first dot in 'name'. This is complicated by the fact\n # that 'name' may be relative.\n if level == 0:\n return _gcd_import(name.partition('.')[0])\n elif not name:\n return module\n else:\n # Figure out where to slice the module's name up to the first dot\n # in 'name'.\n cut_off = len(name) - len(name.partition('.')[0])\n # Slice end needs to be positive to alleviate need to special-case\n # when ``'.' not in name``.\n return sys.modules[module.__name__[:len(module.__name__)-cut_off]]\n elif hasattr(module, '__path__'):\n return _handle_fromlist(module, fromlist, _gcd_import)\n else:\n return module\n\n\ndef _builtin_from_name(name):\n spec = BuiltinImporter.find_spec(name)\n if spec is None:\n raise ImportError('no built-in module named ' + name)\n return _load_unlocked(spec)\n\n\ndef _setup(sys_module, _imp_module):\n \"\"\"Setup importlib by importing needed built-in modules and injecting them\n into the global namespace.\n\n As sys is needed for sys.modules access and _imp is needed to load built-in\n modules, those two modules must be explicitly passed in.\n\n \"\"\"\n global _imp, sys, _blocking_on\n _imp = _imp_module\n sys = sys_module\n\n # Set up the spec for existing builtin/frozen modules.\n module_type = type(sys)\n for name, module in sys.modules.items():\n if isinstance(module, module_type):\n if name in sys.builtin_module_names:\n loader = BuiltinImporter\n elif _imp.is_frozen(name):\n loader = FrozenImporter\n else:\n continue\n spec = _spec_from_module(module, loader)\n _init_module_attrs(spec, module)\n if loader is FrozenImporter:\n loader._fix_up_module(module)\n\n # Directly load built-in modules needed during bootstrap.\n self_module = sys.modules[__name__]\n for builtin_name in ('_thread', '_warnings', '_weakref'):\n if builtin_name not in sys.modules:\n builtin_module = _builtin_from_name(builtin_name)\n else:\n builtin_module = sys.modules[builtin_name]\n setattr(self_module, builtin_name, builtin_module)\n\n # Instantiation requires _weakref to have been set.\n _blocking_on = _WeakValueDictionary()\n\n\ndef _install(sys_module, _imp_module):\n \"\"\"Install importers for builtin and frozen modules\"\"\"\n _setup(sys_module, _imp_module)\n\n sys.meta_path.append(BuiltinImporter)\n sys.meta_path.append(FrozenImporter)\n\n\ndef _install_external_importers():\n \"\"\"Install importers that require external filesystem access\"\"\"\n global _bootstrap_external\n import _frozen_importlib_external\n _bootstrap_external = _frozen_importlib_external\n _frozen_importlib_external._install(sys.modules[__name__])\n", 1551], "/home/gaogaotiantian/programs/viztracer/venv/lib/python3.12/site-packages/_distutils_hack/__init__.py": ["# don't import any costly modules\nimport os\nimport sys\n\nreport_url = (\n \"https://github.com/pypa/setuptools/issues/new?template=distutils-deprecation.yml\"\n)\n\n\ndef warn_distutils_present():\n if 'distutils' not in sys.modules:\n return\n import warnings\n\n warnings.warn(\n \"Distutils was imported before Setuptools, but importing Setuptools \"\n \"also replaces the `distutils` module in `sys.modules`. This may lead \"\n \"to undesirable behaviors or errors. To avoid these issues, avoid \"\n \"using distutils directly, ensure that setuptools is installed in the \"\n \"traditional way (e.g. not an editable install), and/or make sure \"\n \"that setuptools is always imported before distutils.\"\n )\n\n\ndef clear_distutils():\n if 'distutils' not in sys.modules:\n return\n import warnings\n\n warnings.warn(\n \"Setuptools is replacing distutils. Support for replacing \"\n \"an already imported distutils is deprecated. In the future, \"\n \"this condition will fail. \"\n f\"Register concerns at {report_url}\"\n )\n mods = [\n name\n for name in sys.modules\n if name == \"distutils\" or name.startswith(\"distutils.\")\n ]\n for name in mods:\n del sys.modules[name]\n\n\ndef enabled():\n \"\"\"\n Allow selection of distutils by environment variable.\n \"\"\"\n which = os.environ.get('SETUPTOOLS_USE_DISTUTILS', 'local')\n if which == 'stdlib':\n import warnings\n\n warnings.warn(\n \"Reliance on distutils from stdlib is deprecated. Users \"\n \"must rely on setuptools to provide the distutils module. \"\n \"Avoid importing distutils or import setuptools first, \"\n \"and avoid setting SETUPTOOLS_USE_DISTUTILS=stdlib. \"\n f\"Register concerns at {report_url}\"\n )\n return which == 'local'\n\n\ndef ensure_local_distutils():\n import importlib\n\n clear_distutils()\n\n # With the DistutilsMetaFinder in place,\n # perform an import to cause distutils to be\n # loaded from setuptools._distutils. Ref #2906.\n with shim():\n importlib.import_module('distutils')\n\n # check that submodules load as expected\n core = importlib.import_module('distutils.core')\n assert '_distutils' in core.__file__, core.__file__\n assert 'setuptools._distutils.log' not in sys.modules\n\n\ndef do_override():\n \"\"\"\n Ensure that the local copy of distutils is preferred over stdlib.\n\n See https://github.com/pypa/setuptools/issues/417#issuecomment-392298401\n for more motivation.\n \"\"\"\n if enabled():\n warn_distutils_present()\n ensure_local_distutils()\n\n\nclass _TrivialRe:\n def __init__(self, *patterns) -> None:\n self._patterns = patterns\n\n def match(self, string):\n return all(pat in string for pat in self._patterns)\n\n\nclass DistutilsMetaFinder:\n def find_spec(self, fullname, path, target=None):\n # optimization: only consider top level modules and those\n # found in the CPython test suite.\n if path is not None and not fullname.startswith('test.'):\n return None\n\n method_name = 'spec_for_{fullname}'.format(**locals())\n method = getattr(self, method_name, lambda: None)\n return method()\n\n def spec_for_distutils(self):\n if self.is_cpython():\n return None\n\n import importlib\n import importlib.abc\n import importlib.util\n\n try:\n mod = importlib.import_module('setuptools._distutils')\n except Exception:\n # There are a couple of cases where setuptools._distutils\n # may not be present:\n # - An older Setuptools without a local distutils is\n # taking precedence. Ref #2957.\n # - Path manipulation during sitecustomize removes\n # setuptools from the path but only after the hook\n # has been loaded. Ref #2980.\n # In either case, fall back to stdlib behavior.\n return None\n\n class DistutilsLoader(importlib.abc.Loader):\n def create_module(self, spec):\n mod.__name__ = 'distutils'\n return mod\n\n def exec_module(self, module):\n pass\n\n return importlib.util.spec_from_loader(\n 'distutils', DistutilsLoader(), origin=mod.__file__\n )\n\n @staticmethod\n def is_cpython():\n \"\"\"\n Suppress supplying distutils for CPython (build and tests).\n Ref #2965 and #3007.\n \"\"\"\n return os.path.isfile('pybuilddir.txt')\n\n def spec_for_pip(self):\n \"\"\"\n Ensure stdlib distutils when running under pip.\n See pypa/pip#8761 for rationale.\n \"\"\"\n if sys.version_info >= (3, 12) or self.pip_imported_during_build():\n return\n clear_distutils()\n self.spec_for_distutils = lambda: None\n\n @classmethod\n def pip_imported_during_build(cls):\n \"\"\"\n Detect if pip is being imported in a build script. Ref #2355.\n \"\"\"\n import traceback\n\n return any(\n cls.frame_file_is_setup(frame) for frame, line in traceback.walk_stack(None)\n )\n\n @staticmethod\n def frame_file_is_setup(frame):\n \"\"\"\n Return True if the indicated frame suggests a setup.py file.\n \"\"\"\n # some frames may not have __file__ (#2940)\n return frame.f_globals.get('__file__', '').endswith('setup.py')\n\n def spec_for_sensitive_tests(self):\n \"\"\"\n Ensure stdlib distutils when running select tests under CPython.\n\n python/cpython#91169\n \"\"\"\n clear_distutils()\n self.spec_for_distutils = lambda: None\n\n sensitive_tests = (\n [\n 'test.test_distutils',\n 'test.test_peg_generator',\n 'test.test_importlib',\n ]\n if sys.version_info < (3, 10)\n else [\n 'test.test_distutils',\n ]\n )\n\n\nfor name in DistutilsMetaFinder.sensitive_tests:\n setattr(\n DistutilsMetaFinder,\n f'spec_for_{name}',\n DistutilsMetaFinder.spec_for_sensitive_tests,\n )\n\n\nDISTUTILS_FINDER = DistutilsMetaFinder()\n\n\ndef add_shim():\n DISTUTILS_FINDER in sys.meta_path or insert_shim()\n\n\nclass shim:\n def __enter__(self) -> None:\n insert_shim()\n\n def __exit__(self, exc: object, value: object, tb: object) -> None:\n _remove_shim()\n\n\ndef insert_shim():\n sys.meta_path.insert(0, DISTUTILS_FINDER)\n\n\ndef _remove_shim():\n try:\n sys.meta_path.remove(DISTUTILS_FINDER)\n except ValueError:\n pass\n\n\nif sys.version_info < (3, 12):\n # DistutilsMetaFinder can only be disabled in Python < 3.12 (PEP 632)\n remove_shim = _remove_shim\n", 239], "": ["\"\"\"Core implementation of path-based import.\n\nThis module is NOT meant to be directly imported! It has been designed such\nthat it can be bootstrapped into Python as the implementation of import. As\nsuch it requires the injection of specific modules and attributes in order to\nwork. One should use importlib as the public-facing version of this module.\n\n\"\"\"\n# IMPORTANT: Whenever making changes to this module, be sure to run a top-level\n# `make regen-importlib` followed by `make` in order to get the frozen version\n# of the module updated. Not doing so will result in the Makefile to fail for\n# all others who don't have a ./python around to freeze the module in the early\n# stages of compilation.\n#\n\n# See importlib._setup() for what is injected into the global namespace.\n\n# When editing this code be aware that code executed at import time CANNOT\n# reference any injected objects! This includes not only global code but also\n# anything specified at the class level.\n\n# Module injected manually by _set_bootstrap_module()\n_bootstrap = None\n\n# Import builtin modules\nimport _imp\nimport _io\nimport sys\nimport _warnings\nimport marshal\n\n\n_MS_WINDOWS = (sys.platform == 'win32')\nif _MS_WINDOWS:\n import nt as _os\n import winreg\nelse:\n import posix as _os\n\n\nif _MS_WINDOWS:\n path_separators = ['\\\\', '/']\nelse:\n path_separators = ['/']\n# Assumption made in _path_join()\nassert all(len(sep) == 1 for sep in path_separators)\npath_sep = path_separators[0]\npath_sep_tuple = tuple(path_separators)\npath_separators = ''.join(path_separators)\n_pathseps_with_colon = {f':{s}' for s in path_separators}\n\n\n# Bootstrap-related code ######################################################\n_CASE_INSENSITIVE_PLATFORMS_STR_KEY = 'win',\n_CASE_INSENSITIVE_PLATFORMS_BYTES_KEY = 'cygwin', 'darwin'\n_CASE_INSENSITIVE_PLATFORMS = (_CASE_INSENSITIVE_PLATFORMS_BYTES_KEY\n + _CASE_INSENSITIVE_PLATFORMS_STR_KEY)\n\n\ndef _make_relax_case():\n if sys.platform.startswith(_CASE_INSENSITIVE_PLATFORMS):\n if sys.platform.startswith(_CASE_INSENSITIVE_PLATFORMS_STR_KEY):\n key = 'PYTHONCASEOK'\n else:\n key = b'PYTHONCASEOK'\n\n def _relax_case():\n \"\"\"True if filenames must be checked case-insensitively and ignore environment flags are not set.\"\"\"\n return not sys.flags.ignore_environment and key in _os.environ\n else:\n def _relax_case():\n \"\"\"True if filenames must be checked case-insensitively.\"\"\"\n return False\n return _relax_case\n\n_relax_case = _make_relax_case()\n\n\ndef _pack_uint32(x):\n \"\"\"Convert a 32-bit integer to little-endian.\"\"\"\n return (int(x) & 0xFFFFFFFF).to_bytes(4, 'little')\n\n\ndef _unpack_uint32(data):\n \"\"\"Convert 4 bytes in little-endian to an integer.\"\"\"\n assert len(data) == 4\n return int.from_bytes(data, 'little')\n\ndef _unpack_uint16(data):\n \"\"\"Convert 2 bytes in little-endian to an integer.\"\"\"\n assert len(data) == 2\n return int.from_bytes(data, 'little')\n\n\nif _MS_WINDOWS:\n def _path_join(*path_parts):\n \"\"\"Replacement for os.path.join().\"\"\"\n if not path_parts:\n return \"\"\n if len(path_parts) == 1:\n return path_parts[0]\n root = \"\"\n path = []\n for new_root, tail in map(_os._path_splitroot, path_parts):\n if new_root.startswith(path_sep_tuple) or new_root.endswith(path_sep_tuple):\n root = new_root.rstrip(path_separators) or root\n path = [path_sep + tail]\n elif new_root.endswith(':'):\n if root.casefold() != new_root.casefold():\n # Drive relative paths have to be resolved by the OS, so we reset the\n # tail but do not add a path_sep prefix.\n root = new_root\n path = [tail]\n else:\n path.append(tail)\n else:\n root = new_root or root\n path.append(tail)\n path = [p.rstrip(path_separators) for p in path if p]\n if len(path) == 1 and not path[0]:\n # Avoid losing the root's trailing separator when joining with nothing\n return root + path_sep\n return root + path_sep.join(path)\n\nelse:\n def _path_join(*path_parts):\n \"\"\"Replacement for os.path.join().\"\"\"\n return path_sep.join([part.rstrip(path_separators)\n for part in path_parts if part])\n\n\ndef _path_split(path):\n \"\"\"Replacement for os.path.split().\"\"\"\n i = max(path.rfind(p) for p in path_separators)\n if i < 0:\n return '', path\n return path[:i], path[i + 1:]\n\n\ndef _path_stat(path):\n \"\"\"Stat the path.\n\n Made a separate function to make it easier to override in experiments\n (e.g. cache stat results).\n\n \"\"\"\n return _os.stat(path)\n\n\ndef _path_is_mode_type(path, mode):\n \"\"\"Test whether the path is the specified mode type.\"\"\"\n try:\n stat_info = _path_stat(path)\n except OSError:\n return False\n return (stat_info.st_mode & 0o170000) == mode\n\n\ndef _path_isfile(path):\n \"\"\"Replacement for os.path.isfile.\"\"\"\n return _path_is_mode_type(path, 0o100000)\n\n\ndef _path_isdir(path):\n \"\"\"Replacement for os.path.isdir.\"\"\"\n if not path:\n path = _os.getcwd()\n return _path_is_mode_type(path, 0o040000)\n\n\nif _MS_WINDOWS:\n def _path_isabs(path):\n \"\"\"Replacement for os.path.isabs.\"\"\"\n if not path:\n return False\n root = _os._path_splitroot(path)[0].replace('/', '\\\\')\n return len(root) > 1 and (root.startswith('\\\\\\\\') or root.endswith('\\\\'))\n\nelse:\n def _path_isabs(path):\n \"\"\"Replacement for os.path.isabs.\"\"\"\n return path.startswith(path_separators)\n\n\ndef _path_abspath(path):\n \"\"\"Replacement for os.path.abspath.\"\"\"\n if not _path_isabs(path):\n for sep in path_separators:\n path = path.removeprefix(f\".{sep}\")\n return _path_join(_os.getcwd(), path)\n else:\n return path\n\n\ndef _write_atomic(path, data, mode=0o666):\n \"\"\"Best-effort function to write data to a path atomically.\n Be prepared to handle a FileExistsError if concurrent writing of the\n temporary file is attempted.\"\"\"\n # id() is used to generate a pseudo-random filename.\n path_tmp = f'{path}.{id(path)}'\n fd = _os.open(path_tmp,\n _os.O_EXCL | _os.O_CREAT | _os.O_WRONLY, mode & 0o666)\n try:\n # We first write data to a temporary file, and then use os.replace() to\n # perform an atomic rename.\n with _io.FileIO(fd, 'wb') as file:\n file.write(data)\n _os.replace(path_tmp, path)\n except OSError:\n try:\n _os.unlink(path_tmp)\n except OSError:\n pass\n raise\n\n\n_code_type = type(_write_atomic.__code__)\n\n\n# Finder/loader utility code ###############################################\n\n# Magic word to reject .pyc files generated by other Python versions.\n# It should change for each incompatible change to the bytecode.\n#\n# The value of CR and LF is incorporated so if you ever read or write\n# a .pyc file in text mode the magic number will be wrong; also, the\n# Apple MPW compiler swaps their values, botching string constants.\n#\n# There were a variety of old schemes for setting the magic number.\n# The current working scheme is to increment the previous value by\n# 10.\n#\n# Starting with the adoption of PEP 3147 in Python 3.2, every bump in magic\n# number also includes a new \"magic tag\", i.e. a human readable string used\n# to represent the magic number in __pycache__ directories. When you change\n# the magic number, you must also set a new unique magic tag. Generally this\n# can be named after the Python major version of the magic number bump, but\n# it can really be anything, as long as it's different than anything else\n# that's come before. The tags are included in the following table, starting\n# with Python 3.2a0.\n#\n# Known values:\n# Python 1.5: 20121\n# Python 1.5.1: 20121\n# Python 1.5.2: 20121\n# Python 1.6: 50428\n# Python 2.0: 50823\n# Python 2.0.1: 50823\n# Python 2.1: 60202\n# Python 2.1.1: 60202\n# Python 2.1.2: 60202\n# Python 2.2: 60717\n# Python 2.3a0: 62011\n# Python 2.3a0: 62021\n# Python 2.3a0: 62011 (!)\n# Python 2.4a0: 62041\n# Python 2.4a3: 62051\n# Python 2.4b1: 62061\n# Python 2.5a0: 62071\n# Python 2.5a0: 62081 (ast-branch)\n# Python 2.5a0: 62091 (with)\n# Python 2.5a0: 62092 (changed WITH_CLEANUP opcode)\n# Python 2.5b3: 62101 (fix wrong code: for x, in ...)\n# Python 2.5b3: 62111 (fix wrong code: x += yield)\n# Python 2.5c1: 62121 (fix wrong lnotab with for loops and\n# storing constants that should have been removed)\n# Python 2.5c2: 62131 (fix wrong code: for x, in ... in listcomp/genexp)\n# Python 2.6a0: 62151 (peephole optimizations and STORE_MAP opcode)\n# Python 2.6a1: 62161 (WITH_CLEANUP optimization)\n# Python 2.7a0: 62171 (optimize list comprehensions/change LIST_APPEND)\n# Python 2.7a0: 62181 (optimize conditional branches:\n# introduce POP_JUMP_IF_FALSE and POP_JUMP_IF_TRUE)\n# Python 2.7a0 62191 (introduce SETUP_WITH)\n# Python 2.7a0 62201 (introduce BUILD_SET)\n# Python 2.7a0 62211 (introduce MAP_ADD and SET_ADD)\n# Python 3000: 3000\n# 3010 (removed UNARY_CONVERT)\n# 3020 (added BUILD_SET)\n# 3030 (added keyword-only parameters)\n# 3040 (added signature annotations)\n# 3050 (print becomes a function)\n# 3060 (PEP 3115 metaclass syntax)\n# 3061 (string literals become unicode)\n# 3071 (PEP 3109 raise changes)\n# 3081 (PEP 3137 make __file__ and __name__ unicode)\n# 3091 (kill str8 interning)\n# 3101 (merge from 2.6a0, see 62151)\n# 3103 (__file__ points to source file)\n# Python 3.0a4: 3111 (WITH_CLEANUP optimization).\n# Python 3.0b1: 3131 (lexical exception stacking, including POP_EXCEPT\n #3021)\n# Python 3.1a1: 3141 (optimize list, set and dict comprehensions:\n# change LIST_APPEND and SET_ADD, add MAP_ADD #2183)\n# Python 3.1a1: 3151 (optimize conditional branches:\n# introduce POP_JUMP_IF_FALSE and POP_JUMP_IF_TRUE\n #4715)\n# Python 3.2a1: 3160 (add SETUP_WITH #6101)\n# tag: cpython-32\n# Python 3.2a2: 3170 (add DUP_TOP_TWO, remove DUP_TOPX and ROT_FOUR #9225)\n# tag: cpython-32\n# Python 3.2a3 3180 (add DELETE_DEREF #4617)\n# Python 3.3a1 3190 (__class__ super closure changed)\n# Python 3.3a1 3200 (PEP 3155 __qualname__ added #13448)\n# Python 3.3a1 3210 (added size modulo 2**32 to the pyc header #13645)\n# Python 3.3a2 3220 (changed PEP 380 implementation #14230)\n# Python 3.3a4 3230 (revert changes to implicit __class__ closure #14857)\n# Python 3.4a1 3250 (evaluate positional default arguments before\n# keyword-only defaults #16967)\n# Python 3.4a1 3260 (add LOAD_CLASSDEREF; allow locals of class to override\n# free vars #17853)\n# Python 3.4a1 3270 (various tweaks to the __class__ closure #12370)\n# Python 3.4a1 3280 (remove implicit class argument)\n# Python 3.4a4 3290 (changes to __qualname__ computation #19301)\n# Python 3.4a4 3300 (more changes to __qualname__ computation #19301)\n# Python 3.4rc2 3310 (alter __qualname__ computation #20625)\n# Python 3.5a1 3320 (PEP 465: Matrix multiplication operator #21176)\n# Python 3.5b1 3330 (PEP 448: Additional Unpacking Generalizations #2292)\n# Python 3.5b2 3340 (fix dictionary display evaluation order #11205)\n# Python 3.5b3 3350 (add GET_YIELD_FROM_ITER opcode #24400)\n# Python 3.5.2 3351 (fix BUILD_MAP_UNPACK_WITH_CALL opcode #27286)\n# Python 3.6a0 3360 (add FORMAT_VALUE opcode #25483)\n# Python 3.6a1 3361 (lineno delta of code.co_lnotab becomes signed #26107)\n# Python 3.6a2 3370 (16 bit wordcode #26647)\n# Python 3.6a2 3371 (add BUILD_CONST_KEY_MAP opcode #27140)\n# Python 3.6a2 3372 (MAKE_FUNCTION simplification, remove MAKE_CLOSURE\n# #27095)\n# Python 3.6b1 3373 (add BUILD_STRING opcode #27078)\n# Python 3.6b1 3375 (add SETUP_ANNOTATIONS and STORE_ANNOTATION opcodes\n# #27985)\n# Python 3.6b1 3376 (simplify CALL_FUNCTIONs & BUILD_MAP_UNPACK_WITH_CALL\n #27213)\n# Python 3.6b1 3377 (set __class__ cell from type.__new__ #23722)\n# Python 3.6b2 3378 (add BUILD_TUPLE_UNPACK_WITH_CALL #28257)\n# Python 3.6rc1 3379 (more thorough __class__ validation #23722)\n# Python 3.7a1 3390 (add LOAD_METHOD and CALL_METHOD opcodes #26110)\n# Python 3.7a2 3391 (update GET_AITER #31709)\n# Python 3.7a4 3392 (PEP 552: Deterministic pycs #31650)\n# Python 3.7b1 3393 (remove STORE_ANNOTATION opcode #32550)\n# Python 3.7b5 3394 (restored docstring as the first stmt in the body;\n# this might affected the first line number #32911)\n# Python 3.8a1 3400 (move frame block handling to compiler #17611)\n# Python 3.8a1 3401 (add END_ASYNC_FOR #33041)\n# Python 3.8a1 3410 (PEP570 Python Positional-Only Parameters #36540)\n# Python 3.8b2 3411 (Reverse evaluation order of key: value in dict\n# comprehensions #35224)\n# Python 3.8b2 3412 (Swap the position of positional args and positional\n# only args in ast.arguments #37593)\n# Python 3.8b4 3413 (Fix \"break\" and \"continue\" in \"finally\" #37830)\n# Python 3.9a0 3420 (add LOAD_ASSERTION_ERROR #34880)\n# Python 3.9a0 3421 (simplified bytecode for with blocks #32949)\n# Python 3.9a0 3422 (remove BEGIN_FINALLY, END_FINALLY, CALL_FINALLY, POP_FINALLY bytecodes #33387)\n# Python 3.9a2 3423 (add IS_OP, CONTAINS_OP and JUMP_IF_NOT_EXC_MATCH bytecodes #39156)\n# Python 3.9a2 3424 (simplify bytecodes for *value unpacking)\n# Python 3.9a2 3425 (simplify bytecodes for **value unpacking)\n# Python 3.10a1 3430 (Make 'annotations' future by default)\n# Python 3.10a1 3431 (New line number table format -- PEP 626)\n# Python 3.10a2 3432 (Function annotation for MAKE_FUNCTION is changed from dict to tuple bpo-42202)\n# Python 3.10a2 3433 (RERAISE restores f_lasti if oparg != 0)\n# Python 3.10a6 3434 (PEP 634: Structural Pattern Matching)\n# Python 3.10a7 3435 Use instruction offsets (as opposed to byte offsets).\n# Python 3.10b1 3436 (Add GEN_START bytecode #43683)\n# Python 3.10b1 3437 (Undo making 'annotations' future by default - We like to dance among core devs!)\n# Python 3.10b1 3438 Safer line number table handling.\n# Python 3.10b1 3439 (Add ROT_N)\n# Python 3.11a1 3450 Use exception table for unwinding (\"zero cost\" exception handling)\n# Python 3.11a1 3451 (Add CALL_METHOD_KW)\n# Python 3.11a1 3452 (drop nlocals from marshaled code objects)\n# Python 3.11a1 3453 (add co_fastlocalnames and co_fastlocalkinds)\n# Python 3.11a1 3454 (compute cell offsets relative to locals bpo-43693)\n# Python 3.11a1 3455 (add MAKE_CELL bpo-43693)\n# Python 3.11a1 3456 (interleave cell args bpo-43693)\n# Python 3.11a1 3457 (Change localsplus to a bytes object bpo-43693)\n# Python 3.11a1 3458 (imported objects now don't use LOAD_METHOD/CALL_METHOD)\n# Python 3.11a1 3459 (PEP 657: add end line numbers and column offsets for instructions)\n# Python 3.11a1 3460 (Add co_qualname field to PyCodeObject bpo-44530)\n# Python 3.11a1 3461 (JUMP_ABSOLUTE must jump backwards)\n# Python 3.11a2 3462 (bpo-44511: remove COPY_DICT_WITHOUT_KEYS, change\n# MATCH_CLASS and MATCH_KEYS, and add COPY)\n# Python 3.11a3 3463 (bpo-45711: JUMP_IF_NOT_EXC_MATCH no longer pops the\n# active exception)\n# Python 3.11a3 3464 (bpo-45636: Merge numeric BINARY_*/INPLACE_* into\n# BINARY_OP)\n# Python 3.11a3 3465 (Add COPY_FREE_VARS opcode)\n# Python 3.11a4 3466 (bpo-45292: PEP-654 except*)\n# Python 3.11a4 3467 (Change CALL_xxx opcodes)\n# Python 3.11a4 3468 (Add SEND opcode)\n# Python 3.11a4 3469 (bpo-45711: remove type, traceback from exc_info)\n# Python 3.11a4 3470 (bpo-46221: PREP_RERAISE_STAR no longer pushes lasti)\n# Python 3.11a4 3471 (bpo-46202: remove pop POP_EXCEPT_AND_RERAISE)\n# Python 3.11a4 3472 (bpo-46009: replace GEN_START with POP_TOP)\n# Python 3.11a4 3473 (Add POP_JUMP_IF_NOT_NONE/POP_JUMP_IF_NONE opcodes)\n# Python 3.11a4 3474 (Add RESUME opcode)\n# Python 3.11a5 3475 (Add RETURN_GENERATOR opcode)\n# Python 3.11a5 3476 (Add ASYNC_GEN_WRAP opcode)\n# Python 3.11a5 3477 (Replace DUP_TOP/DUP_TOP_TWO with COPY and\n# ROT_TWO/ROT_THREE/ROT_FOUR/ROT_N with SWAP)\n# Python 3.11a5 3478 (New CALL opcodes)\n# Python 3.11a5 3479 (Add PUSH_NULL opcode)\n# Python 3.11a5 3480 (New CALL opcodes, second iteration)\n# Python 3.11a5 3481 (Use inline cache for BINARY_OP)\n# Python 3.11a5 3482 (Use inline caching for UNPACK_SEQUENCE and LOAD_GLOBAL)\n# Python 3.11a5 3483 (Use inline caching for COMPARE_OP and BINARY_SUBSCR)\n# Python 3.11a5 3484 (Use inline caching for LOAD_ATTR, LOAD_METHOD, and\n# STORE_ATTR)\n# Python 3.11a5 3485 (Add an oparg to GET_AWAITABLE)\n# Python 3.11a6 3486 (Use inline caching for PRECALL and CALL)\n# Python 3.11a6 3487 (Remove the adaptive \"oparg counter\" mechanism)\n# Python 3.11a6 3488 (LOAD_GLOBAL can push additional NULL)\n# Python 3.11a6 3489 (Add JUMP_BACKWARD, remove JUMP_ABSOLUTE)\n# Python 3.11a6 3490 (remove JUMP_IF_NOT_EXC_MATCH, add CHECK_EXC_MATCH)\n# Python 3.11a6 3491 (remove JUMP_IF_NOT_EG_MATCH, add CHECK_EG_MATCH,\n# add JUMP_BACKWARD_NO_INTERRUPT, make JUMP_NO_INTERRUPT virtual)\n# Python 3.11a7 3492 (make POP_JUMP_IF_NONE/NOT_NONE/TRUE/FALSE relative)\n# Python 3.11a7 3493 (Make JUMP_IF_TRUE_OR_POP/JUMP_IF_FALSE_OR_POP relative)\n# Python 3.11a7 3494 (New location info table)\n# Python 3.11b4 3495 (Set line number of module's RESUME instr to 0 per PEP 626)\n# Python 3.12a1 3500 (Remove PRECALL opcode)\n# Python 3.12a1 3501 (YIELD_VALUE oparg == stack_depth)\n# Python 3.12a1 3502 (LOAD_FAST_CHECK, no NULL-check in LOAD_FAST)\n# Python 3.12a1 3503 (Shrink LOAD_METHOD cache)\n# Python 3.12a1 3504 (Merge LOAD_METHOD back into LOAD_ATTR)\n# Python 3.12a1 3505 (Specialization/Cache for FOR_ITER)\n# Python 3.12a1 3506 (Add BINARY_SLICE and STORE_SLICE instructions)\n# Python 3.12a1 3507 (Set lineno of module's RESUME to 0)\n# Python 3.12a1 3508 (Add CLEANUP_THROW)\n# Python 3.12a1 3509 (Conditional jumps only jump forward)\n# Python 3.12a2 3510 (FOR_ITER leaves iterator on the stack)\n# Python 3.12a2 3511 (Add STOPITERATION_ERROR instruction)\n# Python 3.12a2 3512 (Remove all unused consts from code objects)\n# Python 3.12a4 3513 (Add CALL_INTRINSIC_1 instruction, removed STOPITERATION_ERROR, PRINT_EXPR, IMPORT_STAR)\n# Python 3.12a4 3514 (Remove ASYNC_GEN_WRAP, LIST_TO_TUPLE, and UNARY_POSITIVE)\n# Python 3.12a5 3515 (Embed jump mask in COMPARE_OP oparg)\n# Python 3.12a5 3516 (Add COMPARE_AND_BRANCH instruction)\n# Python 3.12a5 3517 (Change YIELD_VALUE oparg to exception block depth)\n# Python 3.12a6 3518 (Add RETURN_CONST instruction)\n# Python 3.12a6 3519 (Modify SEND instruction)\n# Python 3.12a6 3520 (Remove PREP_RERAISE_STAR, add CALL_INTRINSIC_2)\n# Python 3.12a7 3521 (Shrink the LOAD_GLOBAL caches)\n# Python 3.12a7 3522 (Removed JUMP_IF_FALSE_OR_POP/JUMP_IF_TRUE_OR_POP)\n# Python 3.12a7 3523 (Convert COMPARE_AND_BRANCH back to COMPARE_OP)\n# Python 3.12a7 3524 (Shrink the BINARY_SUBSCR caches)\n# Python 3.12b1 3525 (Shrink the CALL caches)\n# Python 3.12b1 3526 (Add instrumentation support)\n# Python 3.12b1 3527 (Add LOAD_SUPER_ATTR)\n# Python 3.12b1 3528 (Add LOAD_SUPER_ATTR_METHOD specialization)\n# Python 3.12b1 3529 (Inline list/dict/set comprehensions)\n# Python 3.12b1 3530 (Shrink the LOAD_SUPER_ATTR caches)\n# Python 3.12b1 3531 (Add PEP 695 changes)\n\n# Python 3.13 will start with 3550\n\n# Please don't copy-paste the same pre-release tag for new entries above!!!\n# You should always use the *upcoming* tag. For example, if 3.12a6 came out\n# a week ago, I should put \"Python 3.12a7\" next to my new magic number.\n\n# MAGIC must change whenever the bytecode emitted by the compiler may no\n# longer be understood by older implementations of the eval loop (usually\n# due to the addition of new opcodes).\n#\n# Starting with Python 3.11, Python 3.n starts with magic number 2900+50n.\n#\n# Whenever MAGIC_NUMBER is changed, the ranges in the magic_values array\n# in PC/launcher.c must also be updated.\n\nMAGIC_NUMBER = (3531).to_bytes(2, 'little') + b'\\r\\n'\n\n_RAW_MAGIC_NUMBER = int.from_bytes(MAGIC_NUMBER, 'little') # For import.c\n\n_PYCACHE = '__pycache__'\n_OPT = 'opt-'\n\nSOURCE_SUFFIXES = ['.py']\nif _MS_WINDOWS:\n SOURCE_SUFFIXES.append('.pyw')\n\nEXTENSION_SUFFIXES = _imp.extension_suffixes()\n\nBYTECODE_SUFFIXES = ['.pyc']\n# Deprecated.\nDEBUG_BYTECODE_SUFFIXES = OPTIMIZED_BYTECODE_SUFFIXES = BYTECODE_SUFFIXES\n\ndef cache_from_source(path, debug_override=None, *, optimization=None):\n \"\"\"Given the path to a .py file, return the path to its .pyc file.\n\n The .py file does not need to exist; this simply returns the path to the\n .pyc file calculated as if the .py file were imported.\n\n The 'optimization' parameter controls the presumed optimization level of\n the bytecode file. If 'optimization' is not None, the string representation\n of the argument is taken and verified to be alphanumeric (else ValueError\n is raised).\n\n The debug_override parameter is deprecated. If debug_override is not None,\n a True value is the same as setting 'optimization' to the empty string\n while a False value is equivalent to setting 'optimization' to '1'.\n\n If sys.implementation.cache_tag is None then NotImplementedError is raised.\n\n \"\"\"\n if debug_override is not None:\n _warnings.warn('the debug_override parameter is deprecated; use '\n \"'optimization' instead\", DeprecationWarning)\n if optimization is not None:\n message = 'debug_override or optimization must be set to None'\n raise TypeError(message)\n optimization = '' if debug_override else 1\n path = _os.fspath(path)\n head, tail = _path_split(path)\n base, sep, rest = tail.rpartition('.')\n tag = sys.implementation.cache_tag\n if tag is None:\n raise NotImplementedError('sys.implementation.cache_tag is None')\n almost_filename = ''.join([(base if base else rest), sep, tag])\n if optimization is None:\n if sys.flags.optimize == 0:\n optimization = ''\n else:\n optimization = sys.flags.optimize\n optimization = str(optimization)\n if optimization != '':\n if not optimization.isalnum():\n raise ValueError(f'{optimization!r} is not alphanumeric')\n almost_filename = f'{almost_filename}.{_OPT}{optimization}'\n filename = almost_filename + BYTECODE_SUFFIXES[0]\n if sys.pycache_prefix is not None:\n # We need an absolute path to the py file to avoid the possibility of\n # collisions within sys.pycache_prefix, if someone has two different\n # `foo/bar.py` on their system and they import both of them using the\n # same sys.pycache_prefix. Let's say sys.pycache_prefix is\n # `C:\\Bytecode`; the idea here is that if we get `Foo\\Bar`, we first\n # make it absolute (`C:\\Somewhere\\Foo\\Bar`), then make it root-relative\n # (`Somewhere\\Foo\\Bar`), so we end up placing the bytecode file in an\n # unambiguous `C:\\Bytecode\\Somewhere\\Foo\\Bar\\`.\n head = _path_abspath(head)\n\n # Strip initial drive from a Windows path. We know we have an absolute\n # path here, so the second part of the check rules out a POSIX path that\n # happens to contain a colon at the second character.\n if head[1] == ':' and head[0] not in path_separators:\n head = head[2:]\n\n # Strip initial path separator from `head` to complete the conversion\n # back to a root-relative path before joining.\n return _path_join(\n sys.pycache_prefix,\n head.lstrip(path_separators),\n filename,\n )\n return _path_join(head, _PYCACHE, filename)\n\n\ndef source_from_cache(path):\n \"\"\"Given the path to a .pyc. file, return the path to its .py file.\n\n The .pyc file does not need to exist; this simply returns the path to\n the .py file calculated to correspond to the .pyc file. If path does\n not conform to PEP 3147/488 format, ValueError will be raised. If\n sys.implementation.cache_tag is None then NotImplementedError is raised.\n\n \"\"\"\n if sys.implementation.cache_tag is None:\n raise NotImplementedError('sys.implementation.cache_tag is None')\n path = _os.fspath(path)\n head, pycache_filename = _path_split(path)\n found_in_pycache_prefix = False\n if sys.pycache_prefix is not None:\n stripped_path = sys.pycache_prefix.rstrip(path_separators)\n if head.startswith(stripped_path + path_sep):\n head = head[len(stripped_path):]\n found_in_pycache_prefix = True\n if not found_in_pycache_prefix:\n head, pycache = _path_split(head)\n if pycache != _PYCACHE:\n raise ValueError(f'{_PYCACHE} not bottom-level directory in '\n f'{path!r}')\n dot_count = pycache_filename.count('.')\n if dot_count not in {2, 3}:\n raise ValueError(f'expected only 2 or 3 dots in {pycache_filename!r}')\n elif dot_count == 3:\n optimization = pycache_filename.rsplit('.', 2)[-2]\n if not optimization.startswith(_OPT):\n raise ValueError(\"optimization portion of filename does not start \"\n f\"with {_OPT!r}\")\n opt_level = optimization[len(_OPT):]\n if not opt_level.isalnum():\n raise ValueError(f\"optimization level {optimization!r} is not an \"\n \"alphanumeric value\")\n base_filename = pycache_filename.partition('.')[0]\n return _path_join(head, base_filename + SOURCE_SUFFIXES[0])\n\n\ndef _get_sourcefile(bytecode_path):\n \"\"\"Convert a bytecode file path to a source path (if possible).\n\n This function exists purely for backwards-compatibility for\n PyImport_ExecCodeModuleWithFilenames() in the C API.\n\n \"\"\"\n if len(bytecode_path) == 0:\n return None\n rest, _, extension = bytecode_path.rpartition('.')\n if not rest or extension.lower()[-3:-1] != 'py':\n return bytecode_path\n try:\n source_path = source_from_cache(bytecode_path)\n except (NotImplementedError, ValueError):\n source_path = bytecode_path[:-1]\n return source_path if _path_isfile(source_path) else bytecode_path\n\n\ndef _get_cached(filename):\n if filename.endswith(tuple(SOURCE_SUFFIXES)):\n try:\n return cache_from_source(filename)\n except NotImplementedError:\n pass\n elif filename.endswith(tuple(BYTECODE_SUFFIXES)):\n return filename\n else:\n return None\n\n\ndef _calc_mode(path):\n \"\"\"Calculate the mode permissions for a bytecode file.\"\"\"\n try:\n mode = _path_stat(path).st_mode\n except OSError:\n mode = 0o666\n # We always ensure write access so we can update cached files\n # later even when the source files are read-only on Windows (#6074)\n mode |= 0o200\n return mode\n\n\ndef _check_name(method):\n \"\"\"Decorator to verify that the module being requested matches the one the\n loader can handle.\n\n The first argument (self) must define _name which the second argument is\n compared against. If the comparison fails then ImportError is raised.\n\n \"\"\"\n def _check_name_wrapper(self, name=None, *args, **kwargs):\n if name is None:\n name = self.name\n elif self.name != name:\n raise ImportError('loader for %s cannot handle %s' %\n (self.name, name), name=name)\n return method(self, name, *args, **kwargs)\n\n # FIXME: @_check_name is used to define class methods before the\n # _bootstrap module is set by _set_bootstrap_module().\n if _bootstrap is not None:\n _wrap = _bootstrap._wrap\n else:\n def _wrap(new, old):\n for replace in ['__module__', '__name__', '__qualname__', '__doc__']:\n if hasattr(old, replace):\n setattr(new, replace, getattr(old, replace))\n new.__dict__.update(old.__dict__)\n\n _wrap(_check_name_wrapper, method)\n return _check_name_wrapper\n\n\ndef _classify_pyc(data, name, exc_details):\n \"\"\"Perform basic validity checking of a pyc header and return the flags field,\n which determines how the pyc should be further validated against the source.\n\n *data* is the contents of the pyc file. (Only the first 16 bytes are\n required, though.)\n\n *name* is the name of the module being imported. It is used for logging.\n\n *exc_details* is a dictionary passed to ImportError if it raised for\n improved debugging.\n\n ImportError is raised when the magic number is incorrect or when the flags\n field is invalid. EOFError is raised when the data is found to be truncated.\n\n \"\"\"\n magic = data[:4]\n if magic != MAGIC_NUMBER:\n message = f'bad magic number in {name!r}: {magic!r}'\n _bootstrap._verbose_message('{}', message)\n raise ImportError(message, **exc_details)\n if len(data) < 16:\n message = f'reached EOF while reading pyc header of {name!r}'\n _bootstrap._verbose_message('{}', message)\n raise EOFError(message)\n flags = _unpack_uint32(data[4:8])\n # Only the first two flags are defined.\n if flags & ~0b11:\n message = f'invalid flags {flags!r} in {name!r}'\n raise ImportError(message, **exc_details)\n return flags\n\n\ndef _validate_timestamp_pyc(data, source_mtime, source_size, name,\n exc_details):\n \"\"\"Validate a pyc against the source last-modified time.\n\n *data* is the contents of the pyc file. (Only the first 16 bytes are\n required.)\n\n *source_mtime* is the last modified timestamp of the source file.\n\n *source_size* is None or the size of the source file in bytes.\n\n *name* is the name of the module being imported. It is used for logging.\n\n *exc_details* is a dictionary passed to ImportError if it raised for\n improved debugging.\n\n An ImportError is raised if the bytecode is stale.\n\n \"\"\"\n if _unpack_uint32(data[8:12]) != (source_mtime & 0xFFFFFFFF):\n message = f'bytecode is stale for {name!r}'\n _bootstrap._verbose_message('{}', message)\n raise ImportError(message, **exc_details)\n if (source_size is not None and\n _unpack_uint32(data[12:16]) != (source_size & 0xFFFFFFFF)):\n raise ImportError(f'bytecode is stale for {name!r}', **exc_details)\n\n\ndef _validate_hash_pyc(data, source_hash, name, exc_details):\n \"\"\"Validate a hash-based pyc by checking the real source hash against the one in\n the pyc header.\n\n *data* is the contents of the pyc file. (Only the first 16 bytes are\n required.)\n\n *source_hash* is the importlib.util.source_hash() of the source file.\n\n *name* is the name of the module being imported. It is used for logging.\n\n *exc_details* is a dictionary passed to ImportError if it raised for\n improved debugging.\n\n An ImportError is raised if the bytecode is stale.\n\n \"\"\"\n if data[8:16] != source_hash:\n raise ImportError(\n f'hash in bytecode doesn\\'t match hash of source {name!r}',\n **exc_details,\n )\n\n\ndef _compile_bytecode(data, name=None, bytecode_path=None, source_path=None):\n \"\"\"Compile bytecode as found in a pyc.\"\"\"\n code = marshal.loads(data)\n if isinstance(code, _code_type):\n _bootstrap._verbose_message('code object from {!r}', bytecode_path)\n if source_path is not None:\n _imp._fix_co_filename(code, source_path)\n return code\n else:\n raise ImportError(f'Non-code object in {bytecode_path!r}',\n name=name, path=bytecode_path)\n\n\ndef _code_to_timestamp_pyc(code, mtime=0, source_size=0):\n \"Produce the data for a timestamp-based pyc.\"\n data = bytearray(MAGIC_NUMBER)\n data.extend(_pack_uint32(0))\n data.extend(_pack_uint32(mtime))\n data.extend(_pack_uint32(source_size))\n data.extend(marshal.dumps(code))\n return data\n\n\ndef _code_to_hash_pyc(code, source_hash, checked=True):\n \"Produce the data for a hash-based pyc.\"\n data = bytearray(MAGIC_NUMBER)\n flags = 0b1 | checked << 1\n data.extend(_pack_uint32(flags))\n assert len(source_hash) == 8\n data.extend(source_hash)\n data.extend(marshal.dumps(code))\n return data\n\n\ndef decode_source(source_bytes):\n \"\"\"Decode bytes representing source code and return the string.\n\n Universal newline support is used in the decoding.\n \"\"\"\n import tokenize # To avoid bootstrap issues.\n source_bytes_readline = _io.BytesIO(source_bytes).readline\n encoding = tokenize.detect_encoding(source_bytes_readline)\n newline_decoder = _io.IncrementalNewlineDecoder(None, True)\n return newline_decoder.decode(source_bytes.decode(encoding[0]))\n\n\n# Module specifications #######################################################\n\n_POPULATE = object()\n\n\ndef spec_from_file_location(name, location=None, *, loader=None,\n submodule_search_locations=_POPULATE):\n \"\"\"Return a module spec based on a file location.\n\n To indicate that the module is a package, set\n submodule_search_locations to a list of directory paths. An\n empty list is sufficient, though its not otherwise useful to the\n import system.\n\n The loader must take a spec as its only __init__() arg.\n\n \"\"\"\n if location is None:\n # The caller may simply want a partially populated location-\n # oriented spec. So we set the location to a bogus value and\n # fill in as much as we can.\n location = ''\n if hasattr(loader, 'get_filename'):\n # ExecutionLoader\n try:\n location = loader.get_filename(name)\n except ImportError:\n pass\n else:\n location = _os.fspath(location)\n try:\n location = _path_abspath(location)\n except OSError:\n pass\n\n # If the location is on the filesystem, but doesn't actually exist,\n # we could return None here, indicating that the location is not\n # valid. However, we don't have a good way of testing since an\n # indirect location (e.g. a zip file or URL) will look like a\n # non-existent file relative to the filesystem.\n\n spec = _bootstrap.ModuleSpec(name, loader, origin=location)\n spec._set_fileattr = True\n\n # Pick a loader if one wasn't provided.\n if loader is None:\n for loader_class, suffixes in _get_supported_file_loaders():\n if location.endswith(tuple(suffixes)):\n loader = loader_class(name, location)\n spec.loader = loader\n break\n else:\n return None\n\n # Set submodule_search_paths appropriately.\n if submodule_search_locations is _POPULATE:\n # Check the loader.\n if hasattr(loader, 'is_package'):\n try:\n is_package = loader.is_package(name)\n except ImportError:\n pass\n else:\n if is_package:\n spec.submodule_search_locations = []\n else:\n spec.submodule_search_locations = submodule_search_locations\n if spec.submodule_search_locations == []:\n if location:\n dirname = _path_split(location)[0]\n spec.submodule_search_locations.append(dirname)\n\n return spec\n\n\ndef _bless_my_loader(module_globals):\n \"\"\"Helper function for _warnings.c\n\n See GH#97850 for details.\n \"\"\"\n # 2022-10-06(warsaw): For now, this helper is only used in _warnings.c and\n # that use case only has the module globals. This function could be\n # extended to accept either that or a module object. However, in the\n # latter case, it would be better to raise certain exceptions when looking\n # at a module, which should have either a __loader__ or __spec__.loader.\n # For backward compatibility, it is possible that we'll get an empty\n # dictionary for the module globals, and that cannot raise an exception.\n if not isinstance(module_globals, dict):\n return None\n\n missing = object()\n loader = module_globals.get('__loader__', None)\n spec = module_globals.get('__spec__', missing)\n\n if loader is None:\n if spec is missing:\n # If working with a module:\n # raise AttributeError('Module globals is missing a __spec__')\n return None\n elif spec is None:\n raise ValueError('Module globals is missing a __spec__.loader')\n\n spec_loader = getattr(spec, 'loader', missing)\n\n if spec_loader in (missing, None):\n if loader is None:\n exc = AttributeError if spec_loader is missing else ValueError\n raise exc('Module globals is missing a __spec__.loader')\n _warnings.warn(\n 'Module globals is missing a __spec__.loader',\n DeprecationWarning)\n spec_loader = loader\n\n assert spec_loader is not None\n if loader is not None and loader != spec_loader:\n _warnings.warn(\n 'Module globals; __loader__ != __spec__.loader',\n DeprecationWarning)\n return loader\n\n return spec_loader\n\n\n# Loaders #####################################################################\n\nclass WindowsRegistryFinder:\n\n \"\"\"Meta path finder for modules declared in the Windows registry.\"\"\"\n\n REGISTRY_KEY = (\n 'Software\\\\Python\\\\PythonCore\\\\{sys_version}'\n '\\\\Modules\\\\{fullname}')\n REGISTRY_KEY_DEBUG = (\n 'Software\\\\Python\\\\PythonCore\\\\{sys_version}'\n '\\\\Modules\\\\{fullname}\\\\Debug')\n DEBUG_BUILD = (_MS_WINDOWS and '_d.pyd' in EXTENSION_SUFFIXES)\n\n @staticmethod\n def _open_registry(key):\n try:\n return winreg.OpenKey(winreg.HKEY_CURRENT_USER, key)\n except OSError:\n return winreg.OpenKey(winreg.HKEY_LOCAL_MACHINE, key)\n\n @classmethod\n def _search_registry(cls, fullname):\n if cls.DEBUG_BUILD:\n registry_key = cls.REGISTRY_KEY_DEBUG\n else:\n registry_key = cls.REGISTRY_KEY\n key = registry_key.format(fullname=fullname,\n sys_version='%d.%d' % sys.version_info[:2])\n try:\n with cls._open_registry(key) as hkey:\n filepath = winreg.QueryValue(hkey, '')\n except OSError:\n return None\n return filepath\n\n @classmethod\n def find_spec(cls, fullname, path=None, target=None):\n filepath = cls._search_registry(fullname)\n if filepath is None:\n return None\n try:\n _path_stat(filepath)\n except OSError:\n return None\n for loader, suffixes in _get_supported_file_loaders():\n if filepath.endswith(tuple(suffixes)):\n spec = _bootstrap.spec_from_loader(fullname,\n loader(fullname, filepath),\n origin=filepath)\n return spec\n\n\nclass _LoaderBasics:\n\n \"\"\"Base class of common code needed by both SourceLoader and\n SourcelessFileLoader.\"\"\"\n\n def is_package(self, fullname):\n \"\"\"Concrete implementation of InspectLoader.is_package by checking if\n the path returned by get_filename has a filename of '__init__.py'.\"\"\"\n filename = _path_split(self.get_filename(fullname))[1]\n filename_base = filename.rsplit('.', 1)[0]\n tail_name = fullname.rpartition('.')[2]\n return filename_base == '__init__' and tail_name != '__init__'\n\n def create_module(self, spec):\n \"\"\"Use default semantics for module creation.\"\"\"\n\n def exec_module(self, module):\n \"\"\"Execute the module.\"\"\"\n code = self.get_code(module.__name__)\n if code is None:\n raise ImportError(f'cannot load module {module.__name__!r} when '\n 'get_code() returns None')\n _bootstrap._call_with_frames_removed(exec, code, module.__dict__)\n\n def load_module(self, fullname):\n \"\"\"This method is deprecated.\"\"\"\n # Warning implemented in _load_module_shim().\n return _bootstrap._load_module_shim(self, fullname)\n\n\nclass SourceLoader(_LoaderBasics):\n\n def path_mtime(self, path):\n \"\"\"Optional method that returns the modification time (an int) for the\n specified path (a str).\n\n Raises OSError when the path cannot be handled.\n \"\"\"\n raise OSError\n\n def path_stats(self, path):\n \"\"\"Optional method returning a metadata dict for the specified\n path (a str).\n\n Possible keys:\n - 'mtime' (mandatory) is the numeric timestamp of last source\n code modification;\n - 'size' (optional) is the size in bytes of the source code.\n\n Implementing this method allows the loader to read bytecode files.\n Raises OSError when the path cannot be handled.\n \"\"\"\n return {'mtime': self.path_mtime(path)}\n\n def _cache_bytecode(self, source_path, cache_path, data):\n \"\"\"Optional method which writes data (bytes) to a file path (a str).\n\n Implementing this method allows for the writing of bytecode files.\n\n The source path is needed in order to correctly transfer permissions\n \"\"\"\n # For backwards compatibility, we delegate to set_data()\n return self.set_data(cache_path, data)\n\n def set_data(self, path, data):\n \"\"\"Optional method which writes data (bytes) to a file path (a str).\n\n Implementing this method allows for the writing of bytecode files.\n \"\"\"\n\n\n def get_source(self, fullname):\n \"\"\"Concrete implementation of InspectLoader.get_source.\"\"\"\n path = self.get_filename(fullname)\n try:\n source_bytes = self.get_data(path)\n except OSError as exc:\n raise ImportError('source not available through get_data()',\n name=fullname) from exc\n return decode_source(source_bytes)\n\n def source_to_code(self, data, path, *, _optimize=-1):\n \"\"\"Return the code object compiled from source.\n\n The 'data' argument can be any object type that compile() supports.\n \"\"\"\n return _bootstrap._call_with_frames_removed(compile, data, path, 'exec',\n dont_inherit=True, optimize=_optimize)\n\n def get_code(self, fullname):\n \"\"\"Concrete implementation of InspectLoader.get_code.\n\n Reading of bytecode requires path_stats to be implemented. To write\n bytecode, set_data must also be implemented.\n\n \"\"\"\n source_path = self.get_filename(fullname)\n source_mtime = None\n source_bytes = None\n source_hash = None\n hash_based = False\n check_source = True\n try:\n bytecode_path = cache_from_source(source_path)\n except NotImplementedError:\n bytecode_path = None\n else:\n try:\n st = self.path_stats(source_path)\n except OSError:\n pass\n else:\n source_mtime = int(st['mtime'])\n try:\n data = self.get_data(bytecode_path)\n except OSError:\n pass\n else:\n exc_details = {\n 'name': fullname,\n 'path': bytecode_path,\n }\n try:\n flags = _classify_pyc(data, fullname, exc_details)\n bytes_data = memoryview(data)[16:]\n hash_based = flags & 0b1 != 0\n if hash_based:\n check_source = flags & 0b10 != 0\n if (_imp.check_hash_based_pycs != 'never' and\n (check_source or\n _imp.check_hash_based_pycs == 'always')):\n source_bytes = self.get_data(source_path)\n source_hash = _imp.source_hash(\n _RAW_MAGIC_NUMBER,\n source_bytes,\n )\n _validate_hash_pyc(data, source_hash, fullname,\n exc_details)\n else:\n _validate_timestamp_pyc(\n data,\n source_mtime,\n st['size'],\n fullname,\n exc_details,\n )\n except (ImportError, EOFError):\n pass\n else:\n _bootstrap._verbose_message('{} matches {}', bytecode_path,\n source_path)\n return _compile_bytecode(bytes_data, name=fullname,\n bytecode_path=bytecode_path,\n source_path=source_path)\n if source_bytes is None:\n source_bytes = self.get_data(source_path)\n code_object = self.source_to_code(source_bytes, source_path)\n _bootstrap._verbose_message('code object from {}', source_path)\n if (not sys.dont_write_bytecode and bytecode_path is not None and\n source_mtime is not None):\n if hash_based:\n if source_hash is None:\n source_hash = _imp.source_hash(_RAW_MAGIC_NUMBER,\n source_bytes)\n data = _code_to_hash_pyc(code_object, source_hash, check_source)\n else:\n data = _code_to_timestamp_pyc(code_object, source_mtime,\n len(source_bytes))\n try:\n self._cache_bytecode(source_path, bytecode_path, data)\n except NotImplementedError:\n pass\n return code_object\n\n\nclass FileLoader:\n\n \"\"\"Base file loader class which implements the loader protocol methods that\n require file system usage.\"\"\"\n\n def __init__(self, fullname, path):\n \"\"\"Cache the module name and the path to the file found by the\n finder.\"\"\"\n self.name = fullname\n self.path = path\n\n def __eq__(self, other):\n return (self.__class__ == other.__class__ and\n self.__dict__ == other.__dict__)\n\n def __hash__(self):\n return hash(self.name) ^ hash(self.path)\n\n @_check_name\n def load_module(self, fullname):\n \"\"\"Load a module from a file.\n\n This method is deprecated. Use exec_module() instead.\n\n \"\"\"\n # The only reason for this method is for the name check.\n # Issue #14857: Avoid the zero-argument form of super so the implementation\n # of that form can be updated without breaking the frozen module.\n return super(FileLoader, self).load_module(fullname)\n\n @_check_name\n def get_filename(self, fullname):\n \"\"\"Return the path to the source file as found by the finder.\"\"\"\n return self.path\n\n def get_data(self, path):\n \"\"\"Return the data from path as raw bytes.\"\"\"\n if isinstance(self, (SourceLoader, ExtensionFileLoader)):\n with _io.open_code(str(path)) as file:\n return file.read()\n else:\n with _io.FileIO(path, 'r') as file:\n return file.read()\n\n @_check_name\n def get_resource_reader(self, module):\n from importlib.readers import FileReader\n return FileReader(self)\n\n\nclass SourceFileLoader(FileLoader, SourceLoader):\n\n \"\"\"Concrete implementation of SourceLoader using the file system.\"\"\"\n\n def path_stats(self, path):\n \"\"\"Return the metadata for the path.\"\"\"\n st = _path_stat(path)\n return {'mtime': st.st_mtime, 'size': st.st_size}\n\n def _cache_bytecode(self, source_path, bytecode_path, data):\n # Adapt between the two APIs\n mode = _calc_mode(source_path)\n return self.set_data(bytecode_path, data, _mode=mode)\n\n def set_data(self, path, data, *, _mode=0o666):\n \"\"\"Write bytes data to a file.\"\"\"\n parent, filename = _path_split(path)\n path_parts = []\n # Figure out what directories are missing.\n while parent and not _path_isdir(parent):\n parent, part = _path_split(parent)\n path_parts.append(part)\n # Create needed directories.\n for part in reversed(path_parts):\n parent = _path_join(parent, part)\n try:\n _os.mkdir(parent)\n except FileExistsError:\n # Probably another Python process already created the dir.\n continue\n except OSError as exc:\n # Could be a permission error, read-only filesystem: just forget\n # about writing the data.\n _bootstrap._verbose_message('could not create {!r}: {!r}',\n parent, exc)\n return\n try:\n _write_atomic(path, data, _mode)\n _bootstrap._verbose_message('created {!r}', path)\n except OSError as exc:\n # Same as above: just don't write the bytecode.\n _bootstrap._verbose_message('could not create {!r}: {!r}', path,\n exc)\n\n\nclass SourcelessFileLoader(FileLoader, _LoaderBasics):\n\n \"\"\"Loader which handles sourceless file imports.\"\"\"\n\n def get_code(self, fullname):\n path = self.get_filename(fullname)\n data = self.get_data(path)\n # Call _classify_pyc to do basic validation of the pyc but ignore the\n # result. There's no source to check against.\n exc_details = {\n 'name': fullname,\n 'path': path,\n }\n _classify_pyc(data, fullname, exc_details)\n return _compile_bytecode(\n memoryview(data)[16:],\n name=fullname,\n bytecode_path=path,\n )\n\n def get_source(self, fullname):\n \"\"\"Return None as there is no source code.\"\"\"\n return None\n\n\nclass ExtensionFileLoader(FileLoader, _LoaderBasics):\n\n \"\"\"Loader for extension modules.\n\n The constructor is designed to work with FileFinder.\n\n \"\"\"\n\n def __init__(self, name, path):\n self.name = name\n self.path = path\n\n def __eq__(self, other):\n return (self.__class__ == other.__class__ and\n self.__dict__ == other.__dict__)\n\n def __hash__(self):\n return hash(self.name) ^ hash(self.path)\n\n def create_module(self, spec):\n \"\"\"Create an uninitialized extension module\"\"\"\n module = _bootstrap._call_with_frames_removed(\n _imp.create_dynamic, spec)\n _bootstrap._verbose_message('extension module {!r} loaded from {!r}',\n spec.name, self.path)\n return module\n\n def exec_module(self, module):\n \"\"\"Initialize an extension module\"\"\"\n _bootstrap._call_with_frames_removed(_imp.exec_dynamic, module)\n _bootstrap._verbose_message('extension module {!r} executed from {!r}',\n self.name, self.path)\n\n def is_package(self, fullname):\n \"\"\"Return True if the extension module is a package.\"\"\"\n file_name = _path_split(self.path)[1]\n return any(file_name == '__init__' + suffix\n for suffix in EXTENSION_SUFFIXES)\n\n def get_code(self, fullname):\n \"\"\"Return None as an extension module cannot create a code object.\"\"\"\n return None\n\n def get_source(self, fullname):\n \"\"\"Return None as extension modules have no source code.\"\"\"\n return None\n\n @_check_name\n def get_filename(self, fullname):\n \"\"\"Return the path to the source file as found by the finder.\"\"\"\n return self.path\n\n\nclass _NamespacePath:\n \"\"\"Represents a namespace package's path. It uses the module name\n to find its parent module, and from there it looks up the parent's\n __path__. When this changes, the module's own path is recomputed,\n using path_finder. For top-level modules, the parent module's path\n is sys.path.\"\"\"\n\n # When invalidate_caches() is called, this epoch is incremented\n # https://bugs.python.org/issue45703\n _epoch = 0\n\n def __init__(self, name, path, path_finder):\n self._name = name\n self._path = path\n self._last_parent_path = tuple(self._get_parent_path())\n self._last_epoch = self._epoch\n self._path_finder = path_finder\n\n def _find_parent_path_names(self):\n \"\"\"Returns a tuple of (parent-module-name, parent-path-attr-name)\"\"\"\n parent, dot, me = self._name.rpartition('.')\n if dot == '':\n # This is a top-level module. sys.path contains the parent path.\n return 'sys', 'path'\n # Not a top-level module. parent-module.__path__ contains the\n # parent path.\n return parent, '__path__'\n\n def _get_parent_path(self):\n parent_module_name, path_attr_name = self._find_parent_path_names()\n return getattr(sys.modules[parent_module_name], path_attr_name)\n\n def _recalculate(self):\n # If the parent's path has changed, recalculate _path\n parent_path = tuple(self._get_parent_path()) # Make a copy\n if parent_path != self._last_parent_path or self._epoch != self._last_epoch:\n spec = self._path_finder(self._name, parent_path)\n # Note that no changes are made if a loader is returned, but we\n # do remember the new parent path\n if spec is not None and spec.loader is None:\n if spec.submodule_search_locations:\n self._path = spec.submodule_search_locations\n self._last_parent_path = parent_path # Save the copy\n self._last_epoch = self._epoch\n return self._path\n\n def __iter__(self):\n return iter(self._recalculate())\n\n def __getitem__(self, index):\n return self._recalculate()[index]\n\n def __setitem__(self, index, path):\n self._path[index] = path\n\n def __len__(self):\n return len(self._recalculate())\n\n def __repr__(self):\n return f'_NamespacePath({self._path!r})'\n\n def __contains__(self, item):\n return item in self._recalculate()\n\n def append(self, item):\n self._path.append(item)\n\n\n# This class is actually exposed publicly in a namespace package's __loader__\n# attribute, so it should be available through a non-private name.\n# https://github.com/python/cpython/issues/92054\nclass NamespaceLoader:\n def __init__(self, name, path, path_finder):\n self._path = _NamespacePath(name, path, path_finder)\n\n def is_package(self, fullname):\n return True\n\n def get_source(self, fullname):\n return ''\n\n def get_code(self, fullname):\n return compile('', '', 'exec', dont_inherit=True)\n\n def create_module(self, spec):\n \"\"\"Use default semantics for module creation.\"\"\"\n\n def exec_module(self, module):\n pass\n\n def load_module(self, fullname):\n \"\"\"Load a namespace module.\n\n This method is deprecated. Use exec_module() instead.\n\n \"\"\"\n # The import system never calls this method.\n _bootstrap._verbose_message('namespace module loaded with path {!r}',\n self._path)\n # Warning implemented in _load_module_shim().\n return _bootstrap._load_module_shim(self, fullname)\n\n def get_resource_reader(self, module):\n from importlib.readers import NamespaceReader\n return NamespaceReader(self._path)\n\n\n# We use this exclusively in module_from_spec() for backward-compatibility.\n_NamespaceLoader = NamespaceLoader\n\n\n# Finders #####################################################################\n\nclass PathFinder:\n\n \"\"\"Meta path finder for sys.path and package __path__ attributes.\"\"\"\n\n @staticmethod\n def invalidate_caches():\n \"\"\"Call the invalidate_caches() method on all path entry finders\n stored in sys.path_importer_caches (where implemented).\"\"\"\n for name, finder in list(sys.path_importer_cache.items()):\n # Drop entry if finder name is a relative path. The current\n # working directory may have changed.\n if finder is None or not _path_isabs(name):\n del sys.path_importer_cache[name]\n elif hasattr(finder, 'invalidate_caches'):\n finder.invalidate_caches()\n # Also invalidate the caches of _NamespacePaths\n # https://bugs.python.org/issue45703\n _NamespacePath._epoch += 1\n\n from importlib.metadata import MetadataPathFinder\n MetadataPathFinder.invalidate_caches()\n\n @staticmethod\n def _path_hooks(path):\n \"\"\"Search sys.path_hooks for a finder for 'path'.\"\"\"\n if sys.path_hooks is not None and not sys.path_hooks:\n _warnings.warn('sys.path_hooks is empty', ImportWarning)\n for hook in sys.path_hooks:\n try:\n return hook(path)\n except ImportError:\n continue\n else:\n return None\n\n @classmethod\n def _path_importer_cache(cls, path):\n \"\"\"Get the finder for the path entry from sys.path_importer_cache.\n\n If the path entry is not in the cache, find the appropriate finder\n and cache it. If no finder is available, store None.\n\n \"\"\"\n if path == '':\n try:\n path = _os.getcwd()\n except FileNotFoundError:\n # Don't cache the failure as the cwd can easily change to\n # a valid directory later on.\n return None\n try:\n finder = sys.path_importer_cache[path]\n except KeyError:\n finder = cls._path_hooks(path)\n sys.path_importer_cache[path] = finder\n return finder\n\n @classmethod\n def _get_spec(cls, fullname, path, target=None):\n \"\"\"Find the loader or namespace_path for this module/package name.\"\"\"\n # If this ends up being a namespace package, namespace_path is\n # the list of paths that will become its __path__\n namespace_path = []\n for entry in path:\n if not isinstance(entry, str):\n continue\n finder = cls._path_importer_cache(entry)\n if finder is not None:\n spec = finder.find_spec(fullname, target)\n if spec is None:\n continue\n if spec.loader is not None:\n return spec\n portions = spec.submodule_search_locations\n if portions is None:\n raise ImportError('spec missing loader')\n # This is possibly part of a namespace package.\n # Remember these path entries (if any) for when we\n # create a namespace package, and continue iterating\n # on path.\n namespace_path.extend(portions)\n else:\n spec = _bootstrap.ModuleSpec(fullname, None)\n spec.submodule_search_locations = namespace_path\n return spec\n\n @classmethod\n def find_spec(cls, fullname, path=None, target=None):\n \"\"\"Try to find a spec for 'fullname' on sys.path or 'path'.\n\n The search is based on sys.path_hooks and sys.path_importer_cache.\n \"\"\"\n if path is None:\n path = sys.path\n spec = cls._get_spec(fullname, path, target)\n if spec is None:\n return None\n elif spec.loader is None:\n namespace_path = spec.submodule_search_locations\n if namespace_path:\n # We found at least one namespace path. Return a spec which\n # can create the namespace package.\n spec.origin = None\n spec.submodule_search_locations = _NamespacePath(fullname, namespace_path, cls._get_spec)\n return spec\n else:\n return None\n else:\n return spec\n\n @staticmethod\n def find_distributions(*args, **kwargs):\n \"\"\"\n Find distributions.\n\n Return an iterable of all Distribution instances capable of\n loading the metadata for packages matching ``context.name``\n (or all names if ``None`` indicated) along the paths in the list\n of directories ``context.path``.\n \"\"\"\n from importlib.metadata import MetadataPathFinder\n return MetadataPathFinder.find_distributions(*args, **kwargs)\n\n\nclass FileFinder:\n\n \"\"\"File-based finder.\n\n Interactions with the file system are cached for performance, being\n refreshed when the directory the finder is handling has been modified.\n\n \"\"\"\n\n def __init__(self, path, *loader_details):\n \"\"\"Initialize with the path to search on and a variable number of\n 2-tuples containing the loader and the file suffixes the loader\n recognizes.\"\"\"\n loaders = []\n for loader, suffixes in loader_details:\n loaders.extend((suffix, loader) for suffix in suffixes)\n self._loaders = loaders\n # Base (directory) path\n if not path or path == '.':\n self.path = _os.getcwd()\n else:\n self.path = _path_abspath(path)\n self._path_mtime = -1\n self._path_cache = set()\n self._relaxed_path_cache = set()\n\n def invalidate_caches(self):\n \"\"\"Invalidate the directory mtime.\"\"\"\n self._path_mtime = -1\n\n def _get_spec(self, loader_class, fullname, path, smsl, target):\n loader = loader_class(fullname, path)\n return spec_from_file_location(fullname, path, loader=loader,\n submodule_search_locations=smsl)\n\n def find_spec(self, fullname, target=None):\n \"\"\"Try to find a spec for the specified module.\n\n Returns the matching spec, or None if not found.\n \"\"\"\n is_namespace = False\n tail_module = fullname.rpartition('.')[2]\n try:\n mtime = _path_stat(self.path or _os.getcwd()).st_mtime\n except OSError:\n mtime = -1\n if mtime != self._path_mtime:\n self._fill_cache()\n self._path_mtime = mtime\n # tail_module keeps the original casing, for __file__ and friends\n if _relax_case():\n cache = self._relaxed_path_cache\n cache_module = tail_module.lower()\n else:\n cache = self._path_cache\n cache_module = tail_module\n # Check if the module is the name of a directory (and thus a package).\n if cache_module in cache:\n base_path = _path_join(self.path, tail_module)\n for suffix, loader_class in self._loaders:\n init_filename = '__init__' + suffix\n full_path = _path_join(base_path, init_filename)\n if _path_isfile(full_path):\n return self._get_spec(loader_class, fullname, full_path, [base_path], target)\n else:\n # If a namespace package, return the path if we don't\n # find a module in the next section.\n is_namespace = _path_isdir(base_path)\n # Check for a file w/ a proper suffix exists.\n for suffix, loader_class in self._loaders:\n try:\n full_path = _path_join(self.path, tail_module + suffix)\n except ValueError:\n return None\n _bootstrap._verbose_message('trying {}', full_path, verbosity=2)\n if cache_module + suffix in cache:\n if _path_isfile(full_path):\n return self._get_spec(loader_class, fullname, full_path,\n None, target)\n if is_namespace:\n _bootstrap._verbose_message('possible namespace for {}', base_path)\n spec = _bootstrap.ModuleSpec(fullname, None)\n spec.submodule_search_locations = [base_path]\n return spec\n return None\n\n def _fill_cache(self):\n \"\"\"Fill the cache of potential modules and packages for this directory.\"\"\"\n path = self.path\n try:\n contents = _os.listdir(path or _os.getcwd())\n except (FileNotFoundError, PermissionError, NotADirectoryError):\n # Directory has either been removed, turned into a file, or made\n # unreadable.\n contents = []\n # We store two cached versions, to handle runtime changes of the\n # PYTHONCASEOK environment variable.\n if not sys.platform.startswith('win'):\n self._path_cache = set(contents)\n else:\n # Windows users can import modules with case-insensitive file\n # suffixes (for legacy reasons). Make the suffix lowercase here\n # so it's done once instead of for every import. This is safe as\n # the specified suffixes to check against are always specified in a\n # case-sensitive manner.\n lower_suffix_contents = set()\n for item in contents:\n name, dot, suffix = item.partition('.')\n if dot:\n new_name = f'{name}.{suffix.lower()}'\n else:\n new_name = name\n lower_suffix_contents.add(new_name)\n self._path_cache = lower_suffix_contents\n if sys.platform.startswith(_CASE_INSENSITIVE_PLATFORMS):\n self._relaxed_path_cache = {fn.lower() for fn in contents}\n\n @classmethod\n def path_hook(cls, *loader_details):\n \"\"\"A class method which returns a closure to use on sys.path_hook\n which will return an instance using the specified loaders and the path\n called on the closure.\n\n If the path called on the closure is not a directory, ImportError is\n raised.\n\n \"\"\"\n def path_hook_for_FileFinder(path):\n \"\"\"Path hook for importlib.machinery.FileFinder.\"\"\"\n if not _path_isdir(path):\n raise ImportError('only directories are supported', path=path)\n return cls(path, *loader_details)\n\n return path_hook_for_FileFinder\n\n def __repr__(self):\n return f'FileFinder({self.path!r})'\n\n\n# Import setup ###############################################################\n\ndef _fix_up_module(ns, name, pathname, cpathname=None):\n # This function is used by PyImport_ExecCodeModuleObject().\n loader = ns.get('__loader__')\n spec = ns.get('__spec__')\n if not loader:\n if spec:\n loader = spec.loader\n elif pathname == cpathname:\n loader = SourcelessFileLoader(name, pathname)\n else:\n loader = SourceFileLoader(name, pathname)\n if not spec:\n spec = spec_from_file_location(name, pathname, loader=loader)\n if cpathname:\n spec.cached = _path_abspath(cpathname)\n try:\n ns['__spec__'] = spec\n ns['__loader__'] = loader\n ns['__file__'] = pathname\n ns['__cached__'] = cpathname\n except Exception:\n # Not important enough to report.\n pass\n\n\ndef _get_supported_file_loaders():\n \"\"\"Returns a list of file-based module loaders.\n\n Each item is a tuple (loader, suffixes).\n \"\"\"\n extensions = ExtensionFileLoader, _imp.extension_suffixes()\n source = SourceFileLoader, SOURCE_SUFFIXES\n bytecode = SourcelessFileLoader, BYTECODE_SUFFIXES\n return [extensions, source, bytecode]\n\n\ndef _set_bootstrap_module(_bootstrap_module):\n global _bootstrap\n _bootstrap = _bootstrap_module\n\n\ndef _install(_bootstrap_module):\n \"\"\"Install the path-based import components.\"\"\"\n _set_bootstrap_module(_bootstrap_module)\n supported_loaders = _get_supported_file_loaders()\n sys.path_hooks.extend([FileFinder.path_hook(*supported_loaders)])\n sys.meta_path.append(PathFinder)\n", 1745], "/home/gaogaotiantian/programs/viztracer/venv/lib/python3.12/site-packages/mcts.py": ["from __future__ import division\n\nimport time\nimport math\nimport random\n\n\ndef randomPolicy(state):\n while not state.isTerminal():\n try:\n action = random.choice(state.getPossibleActions())\n except IndexError:\n raise Exception(\"Non-terminal state has no possible actions: \" + str(state))\n state = state.takeAction(action)\n return state.getReward()\n\n\nclass treeNode():\n def __init__(self, state, parent):\n self.state = state\n self.isTerminal = state.isTerminal()\n self.isFullyExpanded = self.isTerminal\n self.parent = parent\n self.numVisits = 0\n self.totalReward = 0\n self.children = {}\n\n\nclass mcts():\n def __init__(self, timeLimit=None, iterationLimit=None, explorationConstant=1 / math.sqrt(2),\n rolloutPolicy=randomPolicy):\n if timeLimit != None:\n if iterationLimit != None:\n raise ValueError(\"Cannot have both a time limit and an iteration limit\")\n # time taken for each MCTS search in milliseconds\n self.timeLimit = timeLimit\n self.limitType = 'time'\n else:\n if iterationLimit == None:\n raise ValueError(\"Must have either a time limit or an iteration limit\")\n # number of iterations of the search\n if iterationLimit < 1:\n raise ValueError(\"Iteration limit must be greater than one\")\n self.searchLimit = iterationLimit\n self.limitType = 'iterations'\n self.explorationConstant = explorationConstant\n self.rollout = rolloutPolicy\n\n def search(self, initialState):\n self.root = treeNode(initialState, None)\n\n if self.limitType == 'time':\n timeLimit = time.time() + self.timeLimit / 1000\n while time.time() < timeLimit:\n self.executeRound()\n else:\n for i in range(self.searchLimit):\n self.executeRound()\n\n bestChild = self.getBestChild(self.root, 0)\n return self.getAction(self.root, bestChild)\n\n def executeRound(self):\n node = self.selectNode(self.root)\n reward = self.rollout(node.state)\n self.backpropogate(node, reward)\n\n def selectNode(self, node):\n while not node.isTerminal:\n if node.isFullyExpanded:\n node = self.getBestChild(node, self.explorationConstant)\n else:\n return self.expand(node)\n return node\n\n def expand(self, node):\n actions = node.state.getPossibleActions()\n for action in actions:\n if action not in node.children.keys():\n newNode = treeNode(node.state.takeAction(action), node)\n node.children[action] = newNode\n if len(actions) == len(node.children):\n node.isFullyExpanded = True\n return newNode\n\n raise Exception(\"Should never reach here\")\n\n def backpropogate(self, node, reward):\n while node is not None:\n node.numVisits += 1\n node.totalReward += reward\n node = node.parent\n\n def getBestChild(self, node, explorationValue):\n bestValue = float(\"-inf\")\n bestNodes = []\n for child in node.children.values():\n nodeValue = child.totalReward / child.numVisits + explorationValue * math.sqrt(\n 2 * math.log(node.numVisits) / child.numVisits)\n if nodeValue > bestValue:\n bestValue = nodeValue\n bestNodes = [child]\n elif nodeValue == bestValue:\n bestNodes.append(child)\n return random.choice(bestNodes)\n\n def getAction(self, root, bestChild):\n for action, node in root.children.items():\n if node is bestChild:\n return action\n", 110], "/home/gaogaotiantian/programs/viztracer/example/src/mcts_game.py": ["from __future__ import division\n\nimport operator\nfrom copy import deepcopy\nfrom functools import reduce\n\nfrom mcts import mcts\n\n\nclass NaughtsAndCrossesState:\n def __init__(self):\n self.board = [[0, 0, 0], [0, 0, 0], [0, 0, 0]]\n self.currentPlayer = 1\n\n def getCurrentPlayer(self):\n return self.currentPlayer\n\n def getPossibleActions(self):\n possibleActions = []\n for i in range(len(self.board)):\n for j in range(len(self.board[i])):\n if self.board[i][j] == 0:\n possibleActions.append(Action(player=self.currentPlayer, x=i, y=j))\n return possibleActions\n\n def takeAction(self, action):\n newState = deepcopy(self)\n newState.board[action.x][action.y] = action.player\n newState.currentPlayer = self.currentPlayer * -1\n return newState\n\n def isTerminal(self):\n for row in self.board:\n if abs(sum(row)) == 3:\n return True\n for column in list(map(list, zip(*self.board))):\n if abs(sum(column)) == 3:\n return True\n for diagonal in [\n [self.board[i][i] for i in range(len(self.board))],\n [self.board[i][len(self.board) - i - 1] for i in range(len(self.board))],\n ]:\n if abs(sum(diagonal)) == 3:\n return True\n return reduce(operator.mul, sum(self.board, []), 1)\n\n def getReward(self):\n for row in self.board:\n if abs(sum(row)) == 3:\n return sum(row) / 3\n for column in list(map(list, zip(*self.board))):\n if abs(sum(column)) == 3:\n return sum(column) / 3\n for diagonal in [\n [self.board[i][i] for i in range(len(self.board))],\n [self.board[i][len(self.board) - i - 1] for i in range(len(self.board))],\n ]:\n if abs(sum(diagonal)) == 3:\n return sum(diagonal) / 3\n return False\n\n\nclass Action:\n def __init__(self, player, x, y):\n self.player = player\n self.x = x\n self.y = y\n\n def __str__(self):\n return str((self.x, self.y))\n\n def __repr__(self):\n return str(self)\n\n def __eq__(self, other):\n return (\n self.__class__ == other.__class__\n and self.x == other.x\n and self.y == other.y\n and self.player == other.player\n )\n\n def __hash__(self):\n return hash((self.x, self.y, self.player))\n\n\ninitialState = NaughtsAndCrossesState()\nmcts = mcts(timeLimit=10)\naction = mcts.search(initialState=initialState)\n", 89], "/usr/lib/python3.12/copyreg.py": ["\"\"\"Helper to provide extensibility for pickle.\n\nThis is only useful to add pickle support for extension types defined in\nC, not for instances of user-defined classes.\n\"\"\"\n\n__all__ = [\"pickle\", \"constructor\",\n \"add_extension\", \"remove_extension\", \"clear_extension_cache\"]\n\ndispatch_table = {}\n\ndef pickle(ob_type, pickle_function, constructor_ob=None):\n if not callable(pickle_function):\n raise TypeError(\"reduction functions must be callable\")\n dispatch_table[ob_type] = pickle_function\n\n # The constructor_ob function is a vestige of safe for unpickling.\n # There is no reason for the caller to pass it anymore.\n if constructor_ob is not None:\n constructor(constructor_ob)\n\ndef constructor(object):\n if not callable(object):\n raise TypeError(\"constructors must be callable\")\n\n# Example: provide pickling support for complex numbers.\n\ndef pickle_complex(c):\n return complex, (c.real, c.imag)\n\npickle(complex, pickle_complex, complex)\n\ndef pickle_union(obj):\n import functools, operator\n return functools.reduce, (operator.or_, obj.__args__)\n\npickle(type(int | str), pickle_union)\n\n# Support for pickling new-style objects\n\ndef _reconstructor(cls, base, state):\n if base is object:\n obj = object.__new__(cls)\n else:\n obj = base.__new__(cls, state)\n if base.__init__ != object.__init__:\n base.__init__(obj, state)\n return obj\n\n_HEAPTYPE = 1<<9\n_new_type = type(int.__new__)\n\n# Python code for object.__reduce_ex__ for protocols 0 and 1\n\ndef _reduce_ex(self, proto):\n assert proto < 2\n cls = self.__class__\n for base in cls.__mro__:\n if hasattr(base, '__flags__') and not base.__flags__ & _HEAPTYPE:\n break\n new = base.__new__\n if isinstance(new, _new_type) and new.__self__ is base:\n break\n else:\n base = object # not really reachable\n if base is object:\n state = None\n else:\n if base is cls:\n raise TypeError(f\"cannot pickle {cls.__name__!r} object\")\n state = base(self)\n args = (cls, base, state)\n try:\n getstate = self.__getstate__\n except AttributeError:\n if getattr(self, \"__slots__\", None):\n raise TypeError(f\"cannot pickle {cls.__name__!r} object: \"\n f\"a class that defines __slots__ without \"\n f\"defining __getstate__ cannot be pickled \"\n f\"with protocol {proto}\") from None\n try:\n dict = self.__dict__\n except AttributeError:\n dict = None\n else:\n if (type(self).__getstate__ is object.__getstate__ and\n getattr(self, \"__slots__\", None)):\n raise TypeError(\"a class that defines __slots__ without \"\n \"defining __getstate__ cannot be pickled\")\n dict = getstate()\n if dict:\n return _reconstructor, args, dict\n else:\n return _reconstructor, args\n\n# Helper for __reduce_ex__ protocol 2\n\ndef __newobj__(cls, *args):\n return cls.__new__(cls, *args)\n\ndef __newobj_ex__(cls, args, kwargs):\n \"\"\"Used by pickle protocol 4, instead of __newobj__ to allow classes with\n keyword-only arguments to be pickled correctly.\n \"\"\"\n return cls.__new__(cls, *args, **kwargs)\n\ndef _slotnames(cls):\n \"\"\"Return a list of slot names for a given class.\n\n This needs to find slots defined by the class and its bases, so we\n can't simply return the __slots__ attribute. We must walk down\n the Method Resolution Order and concatenate the __slots__ of each\n class found there. (This assumes classes don't modify their\n __slots__ attribute to misrepresent their slots after the class is\n defined.)\n \"\"\"\n\n # Get the value from a cache in the class if possible\n names = cls.__dict__.get(\"__slotnames__\")\n if names is not None:\n return names\n\n # Not cached -- calculate the value\n names = []\n if not hasattr(cls, \"__slots__\"):\n # This class has no slots\n pass\n else:\n # Slots found -- gather slot names from all base classes\n for c in cls.__mro__:\n if \"__slots__\" in c.__dict__:\n slots = c.__dict__['__slots__']\n # if class has a single slot, it can be given as a string\n if isinstance(slots, str):\n slots = (slots,)\n for name in slots:\n # special descriptors\n if name in (\"__dict__\", \"__weakref__\"):\n continue\n # mangled names\n elif name.startswith('__') and not name.endswith('__'):\n stripped = c.__name__.lstrip('_')\n if stripped:\n names.append('_%s%s' % (stripped, name))\n else:\n names.append(name)\n else:\n names.append(name)\n\n # Cache the outcome in the class if at all possible\n try:\n cls.__slotnames__ = names\n except:\n pass # But don't die if we can't\n\n return names\n\n# A registry of extension codes. This is an ad-hoc compression\n# mechanism. Whenever a global reference to , is about\n# to be pickled, the (, ) tuple is looked up here to see\n# if it is a registered extension code for it. Extension codes are\n# universal, so that the meaning of a pickle does not depend on\n# context. (There are also some codes reserved for local use that\n# don't have this restriction.) Codes are positive ints; 0 is\n# reserved.\n\n_extension_registry = {} # key -> code\n_inverted_registry = {} # code -> key\n_extension_cache = {} # code -> object\n# Don't ever rebind those names: pickling grabs a reference to them when\n# it's initialized, and won't see a rebinding.\n\ndef add_extension(module, name, code):\n \"\"\"Register an extension code.\"\"\"\n code = int(code)\n if not 1 <= code <= 0x7fffffff:\n raise ValueError(\"code out of range\")\n key = (module, name)\n if (_extension_registry.get(key) == code and\n _inverted_registry.get(code) == key):\n return # Redundant registrations are benign\n if key in _extension_registry:\n raise ValueError(\"key %s is already registered with code %s\" %\n (key, _extension_registry[key]))\n if code in _inverted_registry:\n raise ValueError(\"code %s is already in use for key %s\" %\n (code, _inverted_registry[code]))\n _extension_registry[key] = code\n _inverted_registry[code] = key\n\ndef remove_extension(module, name, code):\n \"\"\"Unregister an extension code. For testing only.\"\"\"\n key = (module, name)\n if (_extension_registry.get(key) != code or\n _inverted_registry.get(code) != key):\n raise ValueError(\"key %s is not registered with code %s\" %\n (key, code))\n del _extension_registry[key]\n del _inverted_registry[code]\n if code in _extension_cache:\n del _extension_cache[code]\n\ndef clear_extension_cache():\n _extension_cache.clear()\n\n# Standard extension code assignments\n\n# Reserved ranges\n\n# First Last Count Purpose\n# 1 127 127 Reserved for Python standard library\n# 128 191 64 Reserved for Zope\n# 192 239 48 Reserved for 3rd parties\n# 240 255 16 Reserved for private use (will never be assigned)\n# 256 Inf Inf Reserved for future assignment\n\n# Extension codes are assigned by the Python Software Foundation.\n", 217], "/usr/lib/python3.12/copy.py": ["\"\"\"Generic (shallow and deep) copying operations.\n\nInterface summary:\n\n import copy\n\n x = copy.copy(y) # make a shallow copy of y\n x = copy.deepcopy(y) # make a deep copy of y\n\nFor module specific errors, copy.Error is raised.\n\nThe difference between shallow and deep copying is only relevant for\ncompound objects (objects that contain other objects, like lists or\nclass instances).\n\n- A shallow copy constructs a new compound object and then (to the\n extent possible) inserts *the same objects* into it that the\n original contains.\n\n- A deep copy constructs a new compound object and then, recursively,\n inserts *copies* into it of the objects found in the original.\n\nTwo problems often exist with deep copy operations that don't exist\nwith shallow copy operations:\n\n a) recursive objects (compound objects that, directly or indirectly,\n contain a reference to themselves) may cause a recursive loop\n\n b) because deep copy copies *everything* it may copy too much, e.g.\n administrative data structures that should be shared even between\n copies\n\nPython's deep copy operation avoids these problems by:\n\n a) keeping a table of objects already copied during the current\n copying pass\n\n b) letting user-defined classes override the copying operation or the\n set of components copied\n\nThis version does not copy types like module, class, function, method,\nnor stack trace, stack frame, nor file, socket, window, nor any\nsimilar types.\n\nClasses can use the same interfaces to control copying that they use\nto control pickling: they can define methods called __getinitargs__(),\n__getstate__() and __setstate__(). See the documentation for module\n\"pickle\" for information on these methods.\n\"\"\"\n\nimport types\nimport weakref\nfrom copyreg import dispatch_table\n\nclass Error(Exception):\n pass\nerror = Error # backward compatibility\n\n__all__ = [\"Error\", \"copy\", \"deepcopy\"]\n\ndef copy(x):\n \"\"\"Shallow copy operation on arbitrary Python objects.\n\n See the module's __doc__ string for more info.\n \"\"\"\n\n cls = type(x)\n\n copier = _copy_dispatch.get(cls)\n if copier:\n return copier(x)\n\n if issubclass(cls, type):\n # treat it as a regular class:\n return _copy_immutable(x)\n\n copier = getattr(cls, \"__copy__\", None)\n if copier is not None:\n return copier(x)\n\n reductor = dispatch_table.get(cls)\n if reductor is not None:\n rv = reductor(x)\n else:\n reductor = getattr(x, \"__reduce_ex__\", None)\n if reductor is not None:\n rv = reductor(4)\n else:\n reductor = getattr(x, \"__reduce__\", None)\n if reductor:\n rv = reductor()\n else:\n raise Error(\"un(shallow)copyable object of type %s\" % cls)\n\n if isinstance(rv, str):\n return x\n return _reconstruct(x, None, *rv)\n\n\n_copy_dispatch = d = {}\n\ndef _copy_immutable(x):\n return x\nfor t in (types.NoneType, int, float, bool, complex, str, tuple,\n bytes, frozenset, type, range, slice, property,\n types.BuiltinFunctionType, types.EllipsisType,\n types.NotImplementedType, types.FunctionType, types.CodeType,\n weakref.ref):\n d[t] = _copy_immutable\n\nd[list] = list.copy\nd[dict] = dict.copy\nd[set] = set.copy\nd[bytearray] = bytearray.copy\n\ndel d, t\n\ndef deepcopy(x, memo=None, _nil=[]):\n \"\"\"Deep copy operation on arbitrary Python objects.\n\n See the module's __doc__ string for more info.\n \"\"\"\n\n if memo is None:\n memo = {}\n\n d = id(x)\n y = memo.get(d, _nil)\n if y is not _nil:\n return y\n\n cls = type(x)\n\n copier = _deepcopy_dispatch.get(cls)\n if copier is not None:\n y = copier(x, memo)\n else:\n if issubclass(cls, type):\n y = _deepcopy_atomic(x, memo)\n else:\n copier = getattr(x, \"__deepcopy__\", None)\n if copier is not None:\n y = copier(memo)\n else:\n reductor = dispatch_table.get(cls)\n if reductor:\n rv = reductor(x)\n else:\n reductor = getattr(x, \"__reduce_ex__\", None)\n if reductor is not None:\n rv = reductor(4)\n else:\n reductor = getattr(x, \"__reduce__\", None)\n if reductor:\n rv = reductor()\n else:\n raise Error(\n \"un(deep)copyable object of type %s\" % cls)\n if isinstance(rv, str):\n y = x\n else:\n y = _reconstruct(x, memo, *rv)\n\n # If is its own copy, don't memoize.\n if y is not x:\n memo[d] = y\n _keep_alive(x, memo) # Make sure x lives at least as long as d\n return y\n\n_deepcopy_dispatch = d = {}\n\ndef _deepcopy_atomic(x, memo):\n return x\nd[types.NoneType] = _deepcopy_atomic\nd[types.EllipsisType] = _deepcopy_atomic\nd[types.NotImplementedType] = _deepcopy_atomic\nd[int] = _deepcopy_atomic\nd[float] = _deepcopy_atomic\nd[bool] = _deepcopy_atomic\nd[complex] = _deepcopy_atomic\nd[bytes] = _deepcopy_atomic\nd[str] = _deepcopy_atomic\nd[types.CodeType] = _deepcopy_atomic\nd[type] = _deepcopy_atomic\nd[range] = _deepcopy_atomic\nd[types.BuiltinFunctionType] = _deepcopy_atomic\nd[types.FunctionType] = _deepcopy_atomic\nd[weakref.ref] = _deepcopy_atomic\nd[property] = _deepcopy_atomic\n\ndef _deepcopy_list(x, memo, deepcopy=deepcopy):\n y = []\n memo[id(x)] = y\n append = y.append\n for a in x:\n append(deepcopy(a, memo))\n return y\nd[list] = _deepcopy_list\n\ndef _deepcopy_tuple(x, memo, deepcopy=deepcopy):\n y = [deepcopy(a, memo) for a in x]\n # We're not going to put the tuple in the memo, but it's still important we\n # check for it, in case the tuple contains recursive mutable structures.\n try:\n return memo[id(x)]\n except KeyError:\n pass\n for k, j in zip(x, y):\n if k is not j:\n y = tuple(y)\n break\n else:\n y = x\n return y\nd[tuple] = _deepcopy_tuple\n\ndef _deepcopy_dict(x, memo, deepcopy=deepcopy):\n y = {}\n memo[id(x)] = y\n for key, value in x.items():\n y[deepcopy(key, memo)] = deepcopy(value, memo)\n return y\nd[dict] = _deepcopy_dict\n\ndef _deepcopy_method(x, memo): # Copy instance methods\n return type(x)(x.__func__, deepcopy(x.__self__, memo))\nd[types.MethodType] = _deepcopy_method\n\ndel d\n\ndef _keep_alive(x, memo):\n \"\"\"Keeps a reference to the object x in the memo.\n\n Because we remember objects by their id, we have\n to assure that possibly temporary objects are kept\n alive by referencing them.\n We store a reference at the id of the memo, which should\n normally not be used unless someone tries to deepcopy\n the memo itself...\n \"\"\"\n try:\n memo[id(memo)].append(x)\n except KeyError:\n # aha, this is the first one :-)\n memo[id(memo)]=[x]\n\ndef _reconstruct(x, memo, func, args,\n state=None, listiter=None, dictiter=None,\n *, deepcopy=deepcopy):\n deep = memo is not None\n if deep and args:\n args = (deepcopy(arg, memo) for arg in args)\n y = func(*args)\n if deep:\n memo[id(x)] = y\n\n if state is not None:\n if deep:\n state = deepcopy(state, memo)\n if hasattr(y, '__setstate__'):\n y.__setstate__(state)\n else:\n if isinstance(state, tuple) and len(state) == 2:\n state, slotstate = state\n else:\n slotstate = None\n if state is not None:\n y.__dict__.update(state)\n if slotstate is not None:\n for key, value in slotstate.items():\n setattr(y, key, value)\n\n if listiter is not None:\n if deep:\n for item in listiter:\n item = deepcopy(item, memo)\n y.append(item)\n else:\n for item in listiter:\n y.append(item)\n if dictiter is not None:\n if deep:\n for key, value in dictiter:\n key = deepcopy(key, memo)\n value = deepcopy(value, memo)\n y[key] = value\n else:\n for key, value in dictiter:\n y[key] = value\n return y\n\ndel types, weakref\n", 292], "/usr/lib/python3.12/random.py": ["\"\"\"Random variable generators.\n\n bytes\n -----\n uniform bytes (values between 0 and 255)\n\n integers\n --------\n uniform within range\n\n sequences\n ---------\n pick random element\n pick random sample\n pick weighted random sample\n generate random permutation\n\n distributions on the real line:\n ------------------------------\n uniform\n triangular\n normal (Gaussian)\n lognormal\n negative exponential\n gamma\n beta\n pareto\n Weibull\n\n distributions on the circle (angles 0 to 2pi)\n ---------------------------------------------\n circular uniform\n von Mises\n\n discrete distributions\n ----------------------\n binomial\n\n\nGeneral notes on the underlying Mersenne Twister core generator:\n\n* The period is 2**19937-1.\n* It is one of the most extensively tested generators in existence.\n* The random() method is implemented in C, executes in a single Python step,\n and is, therefore, threadsafe.\n\n\"\"\"\n\n# Translated by Guido van Rossum from C source provided by\n# Adrian Baddeley. Adapted by Raymond Hettinger for use with\n# the Mersenne Twister and os.urandom() core generators.\n\nfrom warnings import warn as _warn\nfrom math import log as _log, exp as _exp, pi as _pi, e as _e, ceil as _ceil\nfrom math import sqrt as _sqrt, acos as _acos, cos as _cos, sin as _sin\nfrom math import tau as TWOPI, floor as _floor, isfinite as _isfinite\nfrom math import lgamma as _lgamma, fabs as _fabs, log2 as _log2\nfrom os import urandom as _urandom\nfrom _collections_abc import Sequence as _Sequence\nfrom operator import index as _index\nfrom itertools import accumulate as _accumulate, repeat as _repeat\nfrom bisect import bisect as _bisect\nimport os as _os\nimport _random\n\ntry:\n # hashlib is pretty heavy to load, try lean internal module first\n from _sha2 import sha512 as _sha512\nexcept ImportError:\n # fallback to official implementation\n from hashlib import sha512 as _sha512\n\n__all__ = [\n \"Random\",\n \"SystemRandom\",\n \"betavariate\",\n \"binomialvariate\",\n \"choice\",\n \"choices\",\n \"expovariate\",\n \"gammavariate\",\n \"gauss\",\n \"getrandbits\",\n \"getstate\",\n \"lognormvariate\",\n \"normalvariate\",\n \"paretovariate\",\n \"randbytes\",\n \"randint\",\n \"random\",\n \"randrange\",\n \"sample\",\n \"seed\",\n \"setstate\",\n \"shuffle\",\n \"triangular\",\n \"uniform\",\n \"vonmisesvariate\",\n \"weibullvariate\",\n]\n\nNV_MAGICCONST = 4 * _exp(-0.5) / _sqrt(2.0)\nLOG4 = _log(4.0)\nSG_MAGICCONST = 1.0 + _log(4.5)\nBPF = 53 # Number of bits in a float\nRECIP_BPF = 2 ** -BPF\n_ONE = 1\n\n\nclass Random(_random.Random):\n \"\"\"Random number generator base class used by bound module functions.\n\n Used to instantiate instances of Random to get generators that don't\n share state.\n\n Class Random can also be subclassed if you want to use a different basic\n generator of your own devising: in that case, override the following\n methods: random(), seed(), getstate(), and setstate().\n Optionally, implement a getrandbits() method so that randrange()\n can cover arbitrarily large ranges.\n\n \"\"\"\n\n VERSION = 3 # used by getstate/setstate\n\n def __init__(self, x=None):\n \"\"\"Initialize an instance.\n\n Optional argument x controls seeding, as for Random.seed().\n \"\"\"\n\n self.seed(x)\n self.gauss_next = None\n\n def seed(self, a=None, version=2):\n \"\"\"Initialize internal state from a seed.\n\n The only supported seed types are None, int, float,\n str, bytes, and bytearray.\n\n None or no argument seeds from current time or from an operating\n system specific randomness source if available.\n\n If *a* is an int, all bits are used.\n\n For version 2 (the default), all of the bits are used if *a* is a str,\n bytes, or bytearray. For version 1 (provided for reproducing random\n sequences from older versions of Python), the algorithm for str and\n bytes generates a narrower range of seeds.\n\n \"\"\"\n\n if version == 1 and isinstance(a, (str, bytes)):\n a = a.decode('latin-1') if isinstance(a, bytes) else a\n x = ord(a[0]) << 7 if a else 0\n for c in map(ord, a):\n x = ((1000003 * x) ^ c) & 0xFFFFFFFFFFFFFFFF\n x ^= len(a)\n a = -2 if x == -1 else x\n\n elif version == 2 and isinstance(a, (str, bytes, bytearray)):\n if isinstance(a, str):\n a = a.encode()\n a = int.from_bytes(a + _sha512(a).digest())\n\n elif not isinstance(a, (type(None), int, float, str, bytes, bytearray)):\n raise TypeError('The only supported seed types are: None,\\n'\n 'int, float, str, bytes, and bytearray.')\n\n super().seed(a)\n self.gauss_next = None\n\n def getstate(self):\n \"\"\"Return internal state; can be passed to setstate() later.\"\"\"\n return self.VERSION, super().getstate(), self.gauss_next\n\n def setstate(self, state):\n \"\"\"Restore internal state from object returned by getstate().\"\"\"\n version = state[0]\n if version == 3:\n version, internalstate, self.gauss_next = state\n super().setstate(internalstate)\n elif version == 2:\n version, internalstate, self.gauss_next = state\n # In version 2, the state was saved as signed ints, which causes\n # inconsistencies between 32/64-bit systems. The state is\n # really unsigned 32-bit ints, so we convert negative ints from\n # version 2 to positive longs for version 3.\n try:\n internalstate = tuple(x % (2 ** 32) for x in internalstate)\n except ValueError as e:\n raise TypeError from e\n super().setstate(internalstate)\n else:\n raise ValueError(\"state with version %s passed to \"\n \"Random.setstate() of version %s\" %\n (version, self.VERSION))\n\n\n ## -------------------------------------------------------\n ## ---- Methods below this point do not need to be overridden or extended\n ## ---- when subclassing for the purpose of using a different core generator.\n\n\n ## -------------------- pickle support -------------------\n\n # Issue 17489: Since __reduce__ was defined to fix #759889 this is no\n # longer called; we leave it here because it has been here since random was\n # rewritten back in 2001 and why risk breaking something.\n def __getstate__(self): # for pickle\n return self.getstate()\n\n def __setstate__(self, state): # for pickle\n self.setstate(state)\n\n def __reduce__(self):\n return self.__class__, (), self.getstate()\n\n\n ## ---- internal support method for evenly distributed integers ----\n\n def __init_subclass__(cls, /, **kwargs):\n \"\"\"Control how subclasses generate random integers.\n\n The algorithm a subclass can use depends on the random() and/or\n getrandbits() implementation available to it and determines\n whether it can generate random integers from arbitrarily large\n ranges.\n \"\"\"\n\n for c in cls.__mro__:\n if '_randbelow' in c.__dict__:\n # just inherit it\n break\n if 'getrandbits' in c.__dict__:\n cls._randbelow = cls._randbelow_with_getrandbits\n break\n if 'random' in c.__dict__:\n cls._randbelow = cls._randbelow_without_getrandbits\n break\n\n def _randbelow_with_getrandbits(self, n):\n \"Return a random int in the range [0,n). Defined for n > 0.\"\n\n getrandbits = self.getrandbits\n k = n.bit_length()\n r = getrandbits(k) # 0 <= r < 2**k\n while r >= n:\n r = getrandbits(k)\n return r\n\n def _randbelow_without_getrandbits(self, n, maxsize=1< 0.\n\n The implementation does not use getrandbits, but only random.\n \"\"\"\n\n random = self.random\n if n >= maxsize:\n _warn(\"Underlying random() generator does not supply \\n\"\n \"enough bits to choose from a population range this large.\\n\"\n \"To remove the range limitation, add a getrandbits() method.\")\n return _floor(random() * n)\n rem = maxsize % n\n limit = (maxsize - rem) / maxsize # int(limit * maxsize) % n == 0\n r = random()\n while r >= limit:\n r = random()\n return _floor(r * maxsize) % n\n\n _randbelow = _randbelow_with_getrandbits\n\n\n ## --------------------------------------------------------\n ## ---- Methods below this point generate custom distributions\n ## ---- based on the methods defined above. They do not\n ## ---- directly touch the underlying generator and only\n ## ---- access randomness through the methods: random(),\n ## ---- getrandbits(), or _randbelow().\n\n\n ## -------------------- bytes methods ---------------------\n\n def randbytes(self, n):\n \"\"\"Generate n random bytes.\"\"\"\n return self.getrandbits(n * 8).to_bytes(n, 'little')\n\n\n ## -------------------- integer methods -------------------\n\n def randrange(self, start, stop=None, step=_ONE):\n \"\"\"Choose a random item from range(stop) or range(start, stop[, step]).\n\n Roughly equivalent to ``choice(range(start, stop, step))`` but\n supports arbitrarily large ranges and is optimized for common cases.\n\n \"\"\"\n\n # This code is a bit messy to make it fast for the\n # common case while still doing adequate error checking.\n istart = _index(start)\n if stop is None:\n # We don't check for \"step != 1\" because it hasn't been\n # type checked and converted to an integer yet.\n if step is not _ONE:\n raise TypeError(\"Missing a non-None stop argument\")\n if istart > 0:\n return self._randbelow(istart)\n raise ValueError(\"empty range for randrange()\")\n\n # Stop argument supplied.\n istop = _index(stop)\n width = istop - istart\n istep = _index(step)\n # Fast path.\n if istep == 1:\n if width > 0:\n return istart + self._randbelow(width)\n raise ValueError(f\"empty range in randrange({start}, {stop})\")\n\n # Non-unit step argument supplied.\n if istep > 0:\n n = (width + istep - 1) // istep\n elif istep < 0:\n n = (width + istep + 1) // istep\n else:\n raise ValueError(\"zero step for randrange()\")\n if n <= 0:\n raise ValueError(f\"empty range in randrange({start}, {stop}, {step})\")\n return istart + istep * self._randbelow(n)\n\n def randint(self, a, b):\n \"\"\"Return random integer in range [a, b], including both end points.\n \"\"\"\n\n return self.randrange(a, b+1)\n\n\n ## -------------------- sequence methods -------------------\n\n def choice(self, seq):\n \"\"\"Choose a random element from a non-empty sequence.\"\"\"\n\n # As an accommodation for NumPy, we don't use \"if not seq\"\n # because bool(numpy.array()) raises a ValueError.\n if not len(seq):\n raise IndexError('Cannot choose from an empty sequence')\n return seq[self._randbelow(len(seq))]\n\n def shuffle(self, x):\n \"\"\"Shuffle list x in place, and return None.\"\"\"\n\n randbelow = self._randbelow\n for i in reversed(range(1, len(x))):\n # pick an element in x[:i+1] with which to exchange x[i]\n j = randbelow(i + 1)\n x[i], x[j] = x[j], x[i]\n\n def sample(self, population, k, *, counts=None):\n \"\"\"Chooses k unique random elements from a population sequence.\n\n Returns a new list containing elements from the population while\n leaving the original population unchanged. The resulting list is\n in selection order so that all sub-slices will also be valid random\n samples. This allows raffle winners (the sample) to be partitioned\n into grand prize and second place winners (the subslices).\n\n Members of the population need not be hashable or unique. If the\n population contains repeats, then each occurrence is a possible\n selection in the sample.\n\n Repeated elements can be specified one at a time or with the optional\n counts parameter. For example:\n\n sample(['red', 'blue'], counts=[4, 2], k=5)\n\n is equivalent to:\n\n sample(['red', 'red', 'red', 'red', 'blue', 'blue'], k=5)\n\n To choose a sample from a range of integers, use range() for the\n population argument. This is especially fast and space efficient\n for sampling from a large population:\n\n sample(range(10000000), 60)\n\n \"\"\"\n\n # Sampling without replacement entails tracking either potential\n # selections (the pool) in a list or previous selections in a set.\n\n # When the number of selections is small compared to the\n # population, then tracking selections is efficient, requiring\n # only a small set and an occasional reselection. For\n # a larger number of selections, the pool tracking method is\n # preferred since the list takes less space than the\n # set and it doesn't suffer from frequent reselections.\n\n # The number of calls to _randbelow() is kept at or near k, the\n # theoretical minimum. This is important because running time\n # is dominated by _randbelow() and because it extracts the\n # least entropy from the underlying random number generators.\n\n # Memory requirements are kept to the smaller of a k-length\n # set or an n-length list.\n\n # There are other sampling algorithms that do not require\n # auxiliary memory, but they were rejected because they made\n # too many calls to _randbelow(), making them slower and\n # causing them to eat more entropy than necessary.\n\n if not isinstance(population, _Sequence):\n raise TypeError(\"Population must be a sequence. \"\n \"For dicts or sets, use sorted(d).\")\n n = len(population)\n if counts is not None:\n cum_counts = list(_accumulate(counts))\n if len(cum_counts) != n:\n raise ValueError('The number of counts does not match the population')\n total = cum_counts.pop()\n if not isinstance(total, int):\n raise TypeError('Counts must be integers')\n if total <= 0:\n raise ValueError('Total of counts must be greater than zero')\n selections = self.sample(range(total), k=k)\n bisect = _bisect\n return [population[bisect(cum_counts, s)] for s in selections]\n randbelow = self._randbelow\n if not 0 <= k <= n:\n raise ValueError(\"Sample larger than population or is negative\")\n result = [None] * k\n setsize = 21 # size of a small set minus size of an empty list\n if k > 5:\n setsize += 4 ** _ceil(_log(k * 3, 4)) # table size for big sets\n if n <= setsize:\n # An n-length list is smaller than a k-length set.\n # Invariant: non-selected at pool[0 : n-i]\n pool = list(population)\n for i in range(k):\n j = randbelow(n - i)\n result[i] = pool[j]\n pool[j] = pool[n - i - 1] # move non-selected item into vacancy\n else:\n selected = set()\n selected_add = selected.add\n for i in range(k):\n j = randbelow(n)\n while j in selected:\n j = randbelow(n)\n selected_add(j)\n result[i] = population[j]\n return result\n\n def choices(self, population, weights=None, *, cum_weights=None, k=1):\n \"\"\"Return a k sized list of population elements chosen with replacement.\n\n If the relative weights or cumulative weights are not specified,\n the selections are made with equal probability.\n\n \"\"\"\n random = self.random\n n = len(population)\n if cum_weights is None:\n if weights is None:\n floor = _floor\n n += 0.0 # convert to float for a small speed improvement\n return [population[floor(random() * n)] for i in _repeat(None, k)]\n try:\n cum_weights = list(_accumulate(weights))\n except TypeError:\n if not isinstance(weights, int):\n raise\n k = weights\n raise TypeError(\n f'The number of choices must be a keyword argument: {k=}'\n ) from None\n elif weights is not None:\n raise TypeError('Cannot specify both weights and cumulative weights')\n if len(cum_weights) != n:\n raise ValueError('The number of weights does not match the population')\n total = cum_weights[-1] + 0.0 # convert to float\n if total <= 0.0:\n raise ValueError('Total of weights must be greater than zero')\n if not _isfinite(total):\n raise ValueError('Total of weights must be finite')\n bisect = _bisect\n hi = n - 1\n return [population[bisect(cum_weights, random() * total, 0, hi)]\n for i in _repeat(None, k)]\n\n\n ## -------------------- real-valued distributions -------------------\n\n def uniform(self, a, b):\n \"\"\"Get a random number in the range [a, b) or [a, b] depending on rounding.\n\n The mean (expected value) and variance of the random variable are:\n\n E[X] = (a + b) / 2\n Var[X] = (b - a) ** 2 / 12\n\n \"\"\"\n return a + (b - a) * self.random()\n\n def triangular(self, low=0.0, high=1.0, mode=None):\n \"\"\"Triangular distribution.\n\n Continuous distribution bounded by given lower and upper limits,\n and having a given mode value in-between.\n\n http://en.wikipedia.org/wiki/Triangular_distribution\n\n The mean (expected value) and variance of the random variable are:\n\n E[X] = (low + high + mode) / 3\n Var[X] = (low**2 + high**2 + mode**2 - low*high - low*mode - high*mode) / 18\n\n \"\"\"\n u = self.random()\n try:\n c = 0.5 if mode is None else (mode - low) / (high - low)\n except ZeroDivisionError:\n return low\n if u > c:\n u = 1.0 - u\n c = 1.0 - c\n low, high = high, low\n return low + (high - low) * _sqrt(u * c)\n\n def normalvariate(self, mu=0.0, sigma=1.0):\n \"\"\"Normal distribution.\n\n mu is the mean, and sigma is the standard deviation.\n\n \"\"\"\n # Uses Kinderman and Monahan method. Reference: Kinderman,\n # A.J. and Monahan, J.F., \"Computer generation of random\n # variables using the ratio of uniform deviates\", ACM Trans\n # Math Software, 3, (1977), pp257-260.\n\n random = self.random\n while True:\n u1 = random()\n u2 = 1.0 - random()\n z = NV_MAGICCONST * (u1 - 0.5) / u2\n zz = z * z / 4.0\n if zz <= -_log(u2):\n break\n return mu + z * sigma\n\n def gauss(self, mu=0.0, sigma=1.0):\n \"\"\"Gaussian distribution.\n\n mu is the mean, and sigma is the standard deviation. This is\n slightly faster than the normalvariate() function.\n\n Not thread-safe without a lock around calls.\n\n \"\"\"\n # When x and y are two variables from [0, 1), uniformly\n # distributed, then\n #\n # cos(2*pi*x)*sqrt(-2*log(1-y))\n # sin(2*pi*x)*sqrt(-2*log(1-y))\n #\n # are two *independent* variables with normal distribution\n # (mu = 0, sigma = 1).\n # (Lambert Meertens)\n # (corrected version; bug discovered by Mike Miller, fixed by LM)\n\n # Multithreading note: When two threads call this function\n # simultaneously, it is possible that they will receive the\n # same return value. The window is very small though. To\n # avoid this, you have to use a lock around all calls. (I\n # didn't want to slow this down in the serial case by using a\n # lock here.)\n\n random = self.random\n z = self.gauss_next\n self.gauss_next = None\n if z is None:\n x2pi = random() * TWOPI\n g2rad = _sqrt(-2.0 * _log(1.0 - random()))\n z = _cos(x2pi) * g2rad\n self.gauss_next = _sin(x2pi) * g2rad\n\n return mu + z * sigma\n\n def lognormvariate(self, mu, sigma):\n \"\"\"Log normal distribution.\n\n If you take the natural logarithm of this distribution, you'll get a\n normal distribution with mean mu and standard deviation sigma.\n mu can have any value, and sigma must be greater than zero.\n\n \"\"\"\n return _exp(self.normalvariate(mu, sigma))\n\n def expovariate(self, lambd=1.0):\n \"\"\"Exponential distribution.\n\n lambd is 1.0 divided by the desired mean. It should be\n nonzero. (The parameter would be called \"lambda\", but that is\n a reserved word in Python.) Returned values range from 0 to\n positive infinity if lambd is positive, and from negative\n infinity to 0 if lambd is negative.\n\n The mean (expected value) and variance of the random variable are:\n\n E[X] = 1 / lambd\n Var[X] = 1 / lambd ** 2\n\n \"\"\"\n # we use 1-random() instead of random() to preclude the\n # possibility of taking the log of zero.\n\n return -_log(1.0 - self.random()) / lambd\n\n def vonmisesvariate(self, mu, kappa):\n \"\"\"Circular data distribution.\n\n mu is the mean angle, expressed in radians between 0 and 2*pi, and\n kappa is the concentration parameter, which must be greater than or\n equal to zero. If kappa is equal to zero, this distribution reduces\n to a uniform random angle over the range 0 to 2*pi.\n\n \"\"\"\n # Based upon an algorithm published in: Fisher, N.I.,\n # \"Statistical Analysis of Circular Data\", Cambridge\n # University Press, 1993.\n\n # Thanks to Magnus Kessler for a correction to the\n # implementation of step 4.\n\n random = self.random\n if kappa <= 1e-6:\n return TWOPI * random()\n\n s = 0.5 / kappa\n r = s + _sqrt(1.0 + s * s)\n\n while True:\n u1 = random()\n z = _cos(_pi * u1)\n\n d = z / (r + z)\n u2 = random()\n if u2 < 1.0 - d * d or u2 <= (1.0 - d) * _exp(d):\n break\n\n q = 1.0 / r\n f = (q + z) / (1.0 + q * z)\n u3 = random()\n if u3 > 0.5:\n theta = (mu + _acos(f)) % TWOPI\n else:\n theta = (mu - _acos(f)) % TWOPI\n\n return theta\n\n def gammavariate(self, alpha, beta):\n \"\"\"Gamma distribution. Not the gamma function!\n\n Conditions on the parameters are alpha > 0 and beta > 0.\n\n The probability distribution function is:\n\n x ** (alpha - 1) * math.exp(-x / beta)\n pdf(x) = --------------------------------------\n math.gamma(alpha) * beta ** alpha\n\n The mean (expected value) and variance of the random variable are:\n\n E[X] = alpha * beta\n Var[X] = alpha * beta ** 2\n\n \"\"\"\n\n # Warning: a few older sources define the gamma distribution in terms\n # of alpha > -1.0\n if alpha <= 0.0 or beta <= 0.0:\n raise ValueError('gammavariate: alpha and beta must be > 0.0')\n\n random = self.random\n if alpha > 1.0:\n\n # Uses R.C.H. Cheng, \"The generation of Gamma\n # variables with non-integral shape parameters\",\n # Applied Statistics, (1977), 26, No. 1, p71-74\n\n ainv = _sqrt(2.0 * alpha - 1.0)\n bbb = alpha - LOG4\n ccc = alpha + ainv\n\n while True:\n u1 = random()\n if not 1e-7 < u1 < 0.9999999:\n continue\n u2 = 1.0 - random()\n v = _log(u1 / (1.0 - u1)) / ainv\n x = alpha * _exp(v)\n z = u1 * u1 * u2\n r = bbb + ccc * v - x\n if r + SG_MAGICCONST - 4.5 * z >= 0.0 or r >= _log(z):\n return x * beta\n\n elif alpha == 1.0:\n # expovariate(1/beta)\n return -_log(1.0 - random()) * beta\n\n else:\n # alpha is between 0 and 1 (exclusive)\n # Uses ALGORITHM GS of Statistical Computing - Kennedy & Gentle\n while True:\n u = random()\n b = (_e + alpha) / _e\n p = b * u\n if p <= 1.0:\n x = p ** (1.0 / alpha)\n else:\n x = -_log((b - p) / alpha)\n u1 = random()\n if p > 1.0:\n if u1 <= x ** (alpha - 1.0):\n break\n elif u1 <= _exp(-x):\n break\n return x * beta\n\n def betavariate(self, alpha, beta):\n \"\"\"Beta distribution.\n\n Conditions on the parameters are alpha > 0 and beta > 0.\n Returned values range between 0 and 1.\n\n The mean (expected value) and variance of the random variable are:\n\n E[X] = alpha / (alpha + beta)\n Var[X] = alpha * beta / ((alpha + beta)**2 * (alpha + beta + 1))\n\n \"\"\"\n ## See\n ## http://mail.python.org/pipermail/python-bugs-list/2001-January/003752.html\n ## for Ivan Frohne's insightful analysis of why the original implementation:\n ##\n ## def betavariate(self, alpha, beta):\n ## # Discrete Event Simulation in C, pp 87-88.\n ##\n ## y = self.expovariate(alpha)\n ## z = self.expovariate(1.0/beta)\n ## return z/(y+z)\n ##\n ## was dead wrong, and how it probably got that way.\n\n # This version due to Janne Sinkkonen, and matches all the std\n # texts (e.g., Knuth Vol 2 Ed 3 pg 134 \"the beta distribution\").\n y = self.gammavariate(alpha, 1.0)\n if y:\n return y / (y + self.gammavariate(beta, 1.0))\n return 0.0\n\n def paretovariate(self, alpha):\n \"\"\"Pareto distribution. alpha is the shape parameter.\"\"\"\n # Jain, pg. 495\n\n u = 1.0 - self.random()\n return u ** (-1.0 / alpha)\n\n def weibullvariate(self, alpha, beta):\n \"\"\"Weibull distribution.\n\n alpha is the scale parameter and beta is the shape parameter.\n\n \"\"\"\n # Jain, pg. 499; bug fix courtesy Bill Arms\n\n u = 1.0 - self.random()\n return alpha * (-_log(u)) ** (1.0 / beta)\n\n\n ## -------------------- discrete distributions ---------------------\n\n def binomialvariate(self, n=1, p=0.5):\n \"\"\"Binomial random variable.\n\n Gives the number of successes for *n* independent trials\n with the probability of success in each trial being *p*:\n\n sum(random() < p for i in range(n))\n\n Returns an integer in the range: 0 <= X <= n\n\n The mean (expected value) and variance of the random variable are:\n\n E[X] = n * p\n Var[x] = n * p * (1 - p)\n\n \"\"\"\n # Error check inputs and handle edge cases\n if n < 0:\n raise ValueError(\"n must be non-negative\")\n if p <= 0.0 or p >= 1.0:\n if p == 0.0:\n return 0\n if p == 1.0:\n return n\n raise ValueError(\"p must be in the range 0.0 <= p <= 1.0\")\n\n random = self.random\n\n # Fast path for a common case\n if n == 1:\n return _index(random() < p)\n\n # Exploit symmetry to establish: p <= 0.5\n if p > 0.5:\n return n - self.binomialvariate(n, 1.0 - p)\n\n if n * p < 10.0:\n # BG: Geometric method by Devroye with running time of O(np).\n # https://dl.acm.org/doi/pdf/10.1145/42372.42381\n x = y = 0\n c = _log2(1.0 - p)\n if not c:\n return x\n while True:\n y += _floor(_log2(random()) / c) + 1\n if y > n:\n return x\n x += 1\n\n # BTRS: Transformed rejection with squeeze method by Wolfgang H\u00f6rmann\n # https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.47.8407&rep=rep1&type=pdf\n assert n*p >= 10.0 and p <= 0.5\n setup_complete = False\n\n spq = _sqrt(n * p * (1.0 - p)) # Standard deviation of the distribution\n b = 1.15 + 2.53 * spq\n a = -0.0873 + 0.0248 * b + 0.01 * p\n c = n * p + 0.5\n vr = 0.92 - 4.2 / b\n\n while True:\n\n u = random()\n u -= 0.5\n us = 0.5 - _fabs(u)\n k = _floor((2.0 * a / us + b) * u + c)\n if k < 0 or k > n:\n continue\n\n # The early-out \"squeeze\" test substantially reduces\n # the number of acceptance condition evaluations.\n v = random()\n if us >= 0.07 and v <= vr:\n return k\n\n # Acceptance-rejection test.\n # Note, the original paper erroneously omits the call to log(v)\n # when comparing to the log of the rescaled binomial distribution.\n if not setup_complete:\n alpha = (2.83 + 5.1 / b) * spq\n lpq = _log(p / (1.0 - p))\n m = _floor((n + 1) * p) # Mode of the distribution\n h = _lgamma(m + 1) + _lgamma(n - m + 1)\n setup_complete = True # Only needs to be done once\n v *= alpha / (a / (us * us) + b)\n if _log(v) <= h - _lgamma(k + 1) - _lgamma(n - k + 1) + (k - m) * lpq:\n return k\n\n\n## ------------------------------------------------------------------\n## --------------- Operating System Random Source ------------------\n\n\nclass SystemRandom(Random):\n \"\"\"Alternate random number generator using sources provided\n by the operating system (such as /dev/urandom on Unix or\n CryptGenRandom on Windows).\n\n Not available on all systems (see os.urandom() for details).\n\n \"\"\"\n\n def random(self):\n \"\"\"Get the next random number in the range 0.0 <= X < 1.0.\"\"\"\n return (int.from_bytes(_urandom(7)) >> 3) * RECIP_BPF\n\n def getrandbits(self, k):\n \"\"\"getrandbits(k) -> x. Generates an int with k random bits.\"\"\"\n if k < 0:\n raise ValueError('number of bits must be non-negative')\n numbytes = (k + 7) // 8 # bits / 8 and rounded up\n x = int.from_bytes(_urandom(numbytes))\n return x >> (numbytes * 8 - k) # trim excess bits\n\n def randbytes(self, n):\n \"\"\"Generate n random bytes.\"\"\"\n # os.urandom(n) fails with ValueError for n < 0\n # and returns an empty bytes string for n == 0.\n return _urandom(n)\n\n def seed(self, *args, **kwds):\n \"Stub method. Not used for a system random number generator.\"\n return None\n\n def _notimplemented(self, *args, **kwds):\n \"Method should not be called for a system random number generator.\"\n raise NotImplementedError('System entropy source does not have state.')\n getstate = setstate = _notimplemented\n\n\n# ----------------------------------------------------------------------\n# Create one instance, seeded from current time, and export its methods\n# as module-level functions. The functions share state across all uses\n# (both in the user's code and in the Python libraries), but that's fine\n# for most programs and is easier for the casual user than making them\n# instantiate their own Random() instance.\n\n_inst = Random()\nseed = _inst.seed\nrandom = _inst.random\nuniform = _inst.uniform\ntriangular = _inst.triangular\nrandint = _inst.randint\nchoice = _inst.choice\nrandrange = _inst.randrange\nsample = _inst.sample\nshuffle = _inst.shuffle\nchoices = _inst.choices\nnormalvariate = _inst.normalvariate\nlognormvariate = _inst.lognormvariate\nexpovariate = _inst.expovariate\nvonmisesvariate = _inst.vonmisesvariate\ngammavariate = _inst.gammavariate\ngauss = _inst.gauss\nbetavariate = _inst.betavariate\nbinomialvariate = _inst.binomialvariate\nparetovariate = _inst.paretovariate\nweibullvariate = _inst.weibullvariate\ngetstate = _inst.getstate\nsetstate = _inst.setstate\ngetrandbits = _inst.getrandbits\nrandbytes = _inst.randbytes\n\n\n## ------------------------------------------------------\n## ----------------- test program -----------------------\n\ndef _test_generator(n, func, args):\n from statistics import stdev, fmean as mean\n from time import perf_counter\n\n t0 = perf_counter()\n data = [func(*args) for i in _repeat(None, n)]\n t1 = perf_counter()\n\n xbar = mean(data)\n sigma = stdev(data, xbar)\n low = min(data)\n high = max(data)\n\n print(f'{t1 - t0:.3f} sec, {n} times {func.__name__}{args!r}')\n print('avg %g, stddev %g, min %g, max %g\\n' % (xbar, sigma, low, high))\n\n\ndef _test(N=10_000):\n _test_generator(N, random, ())\n _test_generator(N, normalvariate, (0.0, 1.0))\n _test_generator(N, lognormvariate, (0.0, 1.0))\n _test_generator(N, vonmisesvariate, (0.0, 1.0))\n _test_generator(N, binomialvariate, (15, 0.60))\n _test_generator(N, binomialvariate, (100, 0.75))\n _test_generator(N, gammavariate, (0.01, 1.0))\n _test_generator(N, gammavariate, (0.1, 1.0))\n _test_generator(N, gammavariate, (0.1, 2.0))\n _test_generator(N, gammavariate, (0.5, 1.0))\n _test_generator(N, gammavariate, (0.9, 1.0))\n _test_generator(N, gammavariate, (1.0, 1.0))\n _test_generator(N, gammavariate, (2.0, 1.0))\n _test_generator(N, gammavariate, (20.0, 1.0))\n _test_generator(N, gammavariate, (200.0, 1.0))\n _test_generator(N, gauss, (0.0, 1.0))\n _test_generator(N, betavariate, (3.0, 3.0))\n _test_generator(N, triangular, (0.0, 1.0, 1.0 / 3.0))\n\n\n## ------------------------------------------------------\n## ------------------ fork support ---------------------\n\nif hasattr(_os, \"fork\"):\n _os.register_at_fork(after_in_child=_inst.seed)\n\n\nif __name__ == '__main__':\n _test()\n", 996]}, "functions": {"_ModuleLockManager.__init__ (:412)": ["", 412], "_ModuleLock.__init__ (:232)": ["", 232], "_get_module_lock (:426)": ["", 426], "_BlockingOnManager.__init__ (:158)": ["", 158], "_WeakValueDictionary.__init__..KeyedRef.__new__ (:74)": ["", 74], "_WeakValueDictionary.__init__..KeyedRef.__init__ (:79)": ["", 79], "_WeakValueDictionary.setdefault (:124)": ["", 124], "_BlockingOnManager.__enter__ (:162)": ["", 162], "_BlockingOnManager.__exit__ (:173)": ["", 173], "_WeakValueDictionary.__init__..KeyedRef.remove (:82)": ["", 82], "_ModuleLock.acquire (:304)": ["", 304], "_ModuleLockManager.__enter__ (:416)": ["", 416], "_ImportLockContext.__enter__ (:1222)": ["", 1222], "DistutilsMetaFinder.find_spec.. 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(/home/gaogaotiantian/programs/viztracer/example/src/multi_process_pool.py:1)"}, {"pid": 222282, "tid": 222282, "ts": 81994908545.786, "ph": "X", "cat": "fee", "dur": 15018.357, "name": "builtins.exec"}], "viztracer_metadata": {"overflow": false, "version": "1.1.1"}, "file_info": {"files": {"/usr/lib/python3.12/multiprocessing/synchronize.py": ["#\n# Module implementing synchronization primitives\n#\n# multiprocessing/synchronize.py\n#\n# Copyright (c) 2006-2008, R Oudkerk\n# Licensed to PSF under a Contributor Agreement.\n#\n\n__all__ = [\n 'Lock', 'RLock', 'Semaphore', 'BoundedSemaphore', 'Condition', 'Event'\n ]\n\nimport threading\nimport sys\nimport tempfile\nimport _multiprocessing\nimport time\n\nfrom . import context\nfrom . import process\nfrom . import util\n\n# Try to import the mp.synchronize module cleanly, if it fails\n# raise ImportError for platforms lacking a working sem_open implementation.\n# See issue 3770\ntry:\n from _multiprocessing import SemLock, sem_unlink\nexcept (ImportError):\n raise ImportError(\"This platform lacks a functioning sem_open\" +\n \" implementation, therefore, the required\" +\n \" synchronization primitives needed will not\" +\n \" function, see issue 3770.\")\n\n#\n# Constants\n#\n\nRECURSIVE_MUTEX, SEMAPHORE = list(range(2))\nSEM_VALUE_MAX = _multiprocessing.SemLock.SEM_VALUE_MAX\n\n#\n# Base class for semaphores and mutexes; wraps `_multiprocessing.SemLock`\n#\n\nclass SemLock(object):\n\n _rand = tempfile._RandomNameSequence()\n\n def __init__(self, kind, value, maxvalue, *, ctx):\n if ctx is None:\n ctx = context._default_context.get_context()\n self._is_fork_ctx = ctx.get_start_method() == 'fork'\n unlink_now = sys.platform == 'win32' or self._is_fork_ctx\n for i in range(100):\n try:\n sl = self._semlock = _multiprocessing.SemLock(\n kind, value, maxvalue, self._make_name(),\n unlink_now)\n except FileExistsError:\n pass\n else:\n break\n else:\n raise FileExistsError('cannot find name for semaphore')\n\n util.debug('created semlock with handle %s' % sl.handle)\n self._make_methods()\n\n if sys.platform != 'win32':\n def _after_fork(obj):\n obj._semlock._after_fork()\n util.register_after_fork(self, _after_fork)\n\n if self._semlock.name is not None:\n # We only get here if we are on Unix with forking\n # disabled. When the object is garbage collected or the\n # process shuts down we unlink the semaphore name\n from .resource_tracker import register\n register(self._semlock.name, \"semaphore\")\n util.Finalize(self, SemLock._cleanup, (self._semlock.name,),\n exitpriority=0)\n\n @staticmethod\n def _cleanup(name):\n from .resource_tracker import unregister\n sem_unlink(name)\n unregister(name, \"semaphore\")\n\n def _make_methods(self):\n self.acquire = self._semlock.acquire\n self.release = self._semlock.release\n\n def __enter__(self):\n return self._semlock.__enter__()\n\n def __exit__(self, *args):\n return self._semlock.__exit__(*args)\n\n def __getstate__(self):\n context.assert_spawning(self)\n sl = self._semlock\n if sys.platform == 'win32':\n h = context.get_spawning_popen().duplicate_for_child(sl.handle)\n else:\n if self._is_fork_ctx:\n raise RuntimeError('A SemLock created in a fork context is being '\n 'shared with a process in a spawn context. This is '\n 'not supported. Please use the same context to create '\n 'multiprocessing objects and Process.')\n h = sl.handle\n return (h, sl.kind, sl.maxvalue, sl.name)\n\n def __setstate__(self, state):\n self._semlock = _multiprocessing.SemLock._rebuild(*state)\n util.debug('recreated blocker with handle %r' % state[0])\n self._make_methods()\n # Ensure that deserialized SemLock can be serialized again (gh-108520).\n self._is_fork_ctx = False\n\n @staticmethod\n def _make_name():\n return '%s-%s' % (process.current_process()._config['semprefix'],\n next(SemLock._rand))\n\n#\n# Semaphore\n#\n\nclass Semaphore(SemLock):\n\n def __init__(self, value=1, *, ctx):\n SemLock.__init__(self, SEMAPHORE, value, SEM_VALUE_MAX, ctx=ctx)\n\n def get_value(self):\n return self._semlock._get_value()\n\n def __repr__(self):\n try:\n value = self._semlock._get_value()\n except Exception:\n value = 'unknown'\n return '<%s(value=%s)>' % (self.__class__.__name__, value)\n\n#\n# Bounded semaphore\n#\n\nclass BoundedSemaphore(Semaphore):\n\n def __init__(self, value=1, *, ctx):\n SemLock.__init__(self, SEMAPHORE, value, value, ctx=ctx)\n\n def __repr__(self):\n try:\n value = self._semlock._get_value()\n except Exception:\n value = 'unknown'\n return '<%s(value=%s, maxvalue=%s)>' % \\\n (self.__class__.__name__, value, self._semlock.maxvalue)\n\n#\n# Non-recursive lock\n#\n\nclass Lock(SemLock):\n\n def __init__(self, *, ctx):\n SemLock.__init__(self, SEMAPHORE, 1, 1, ctx=ctx)\n\n def __repr__(self):\n try:\n if self._semlock._is_mine():\n name = process.current_process().name\n if threading.current_thread().name != 'MainThread':\n name += '|' + threading.current_thread().name\n elif self._semlock._get_value() == 1:\n name = 'None'\n elif self._semlock._count() > 0:\n name = 'SomeOtherThread'\n else:\n name = 'SomeOtherProcess'\n except Exception:\n name = 'unknown'\n return '<%s(owner=%s)>' % (self.__class__.__name__, name)\n\n#\n# Recursive lock\n#\n\nclass RLock(SemLock):\n\n def __init__(self, *, ctx):\n SemLock.__init__(self, RECURSIVE_MUTEX, 1, 1, ctx=ctx)\n\n def __repr__(self):\n try:\n if self._semlock._is_mine():\n name = process.current_process().name\n if threading.current_thread().name != 'MainThread':\n name += '|' + threading.current_thread().name\n count = self._semlock._count()\n elif self._semlock._get_value() == 1:\n name, count = 'None', 0\n elif self._semlock._count() > 0:\n name, count = 'SomeOtherThread', 'nonzero'\n else:\n name, count = 'SomeOtherProcess', 'nonzero'\n except Exception:\n name, count = 'unknown', 'unknown'\n return '<%s(%s, %s)>' % (self.__class__.__name__, name, count)\n\n#\n# Condition variable\n#\n\nclass Condition(object):\n\n def __init__(self, lock=None, *, ctx):\n self._lock = lock or ctx.RLock()\n self._sleeping_count = ctx.Semaphore(0)\n self._woken_count = ctx.Semaphore(0)\n self._wait_semaphore = ctx.Semaphore(0)\n self._make_methods()\n\n def __getstate__(self):\n context.assert_spawning(self)\n return (self._lock, self._sleeping_count,\n self._woken_count, self._wait_semaphore)\n\n def __setstate__(self, state):\n (self._lock, self._sleeping_count,\n self._woken_count, self._wait_semaphore) = state\n self._make_methods()\n\n def __enter__(self):\n return self._lock.__enter__()\n\n def __exit__(self, *args):\n return self._lock.__exit__(*args)\n\n def _make_methods(self):\n self.acquire = self._lock.acquire\n self.release = self._lock.release\n\n def __repr__(self):\n try:\n num_waiters = (self._sleeping_count._semlock._get_value() -\n self._woken_count._semlock._get_value())\n except Exception:\n num_waiters = 'unknown'\n return '<%s(%s, %s)>' % (self.__class__.__name__, self._lock, num_waiters)\n\n def wait(self, timeout=None):\n assert self._lock._semlock._is_mine(), \\\n 'must acquire() condition before using wait()'\n\n # indicate that this thread is going to sleep\n self._sleeping_count.release()\n\n # release lock\n count = self._lock._semlock._count()\n for i in range(count):\n self._lock.release()\n\n try:\n # wait for notification or timeout\n return self._wait_semaphore.acquire(True, timeout)\n finally:\n # indicate that this thread has woken\n self._woken_count.release()\n\n # reacquire lock\n for i in range(count):\n self._lock.acquire()\n\n def notify(self, n=1):\n assert self._lock._semlock._is_mine(), 'lock is not owned'\n assert not self._wait_semaphore.acquire(\n False), ('notify: Should not have been able to acquire '\n + '_wait_semaphore')\n\n # to take account of timeouts since last notify*() we subtract\n # woken_count from sleeping_count and rezero woken_count\n while self._woken_count.acquire(False):\n res = self._sleeping_count.acquire(False)\n assert res, ('notify: Bug in sleeping_count.acquire'\n + '- res should not be False')\n\n sleepers = 0\n while sleepers < n and self._sleeping_count.acquire(False):\n self._wait_semaphore.release() # wake up one sleeper\n sleepers += 1\n\n if sleepers:\n for i in range(sleepers):\n self._woken_count.acquire() # wait for a sleeper to wake\n\n # rezero wait_semaphore in case some timeouts just happened\n while self._wait_semaphore.acquire(False):\n pass\n\n def notify_all(self):\n self.notify(n=sys.maxsize)\n\n def wait_for(self, predicate, timeout=None):\n result = predicate()\n if result:\n return result\n if timeout is not None:\n endtime = time.monotonic() + timeout\n else:\n endtime = None\n waittime = None\n while not result:\n if endtime is not None:\n waittime = endtime - time.monotonic()\n if waittime <= 0:\n break\n self.wait(waittime)\n result = predicate()\n return result\n\n#\n# Event\n#\n\nclass Event(object):\n\n def __init__(self, *, ctx):\n self._cond = ctx.Condition(ctx.Lock())\n self._flag = ctx.Semaphore(0)\n\n def is_set(self):\n with self._cond:\n if self._flag.acquire(False):\n self._flag.release()\n return True\n return False\n\n def set(self):\n with self._cond:\n self._flag.acquire(False)\n self._flag.release()\n self._cond.notify_all()\n\n def clear(self):\n with self._cond:\n self._flag.acquire(False)\n\n def wait(self, timeout=None):\n with self._cond:\n if self._flag.acquire(False):\n self._flag.release()\n else:\n self._cond.wait(timeout)\n\n if self._flag.acquire(False):\n self._flag.release()\n return True\n return False\n\n def __repr__(self) -> str:\n set_status = 'set' if self.is_set() else 'unset'\n return f\"<{type(self).__qualname__} at {id(self):#x} {set_status}>\"\n#\n# Barrier\n#\n\nclass Barrier(threading.Barrier):\n\n def __init__(self, parties, action=None, timeout=None, *, ctx):\n import struct\n from .heap import BufferWrapper\n wrapper = BufferWrapper(struct.calcsize('i') * 2)\n cond = ctx.Condition()\n self.__setstate__((parties, action, timeout, cond, wrapper))\n self._state = 0\n self._count = 0\n\n def __setstate__(self, state):\n (self._parties, self._action, self._timeout,\n self._cond, self._wrapper) = state\n self._array = self._wrapper.create_memoryview().cast('i')\n\n def __getstate__(self):\n return (self._parties, self._action, self._timeout,\n self._cond, self._wrapper)\n\n @property\n def _state(self):\n return self._array[0]\n\n @_state.setter\n def _state(self, value):\n self._array[0] = value\n\n @property\n def _count(self):\n return self._array[1]\n\n @_count.setter\n def _count(self, value):\n self._array[1] = value\n", 404], "/usr/lib/python3.12/multiprocessing/util.py": ["#\n# Module providing various facilities to other parts of the package\n#\n# multiprocessing/util.py\n#\n# Copyright (c) 2006-2008, R Oudkerk\n# Licensed to PSF under a Contributor Agreement.\n#\n\nimport os\nimport itertools\nimport sys\nimport weakref\nimport atexit\nimport threading # we want threading to install it's\n # cleanup function before multiprocessing does\nfrom subprocess import _args_from_interpreter_flags\n\nfrom . import process\n\n__all__ = [\n 'sub_debug', 'debug', 'info', 'sub_warning', 'get_logger',\n 'log_to_stderr', 'get_temp_dir', 'register_after_fork',\n 'is_exiting', 'Finalize', 'ForkAwareThreadLock', 'ForkAwareLocal',\n 'close_all_fds_except', 'SUBDEBUG', 'SUBWARNING',\n ]\n\n#\n# Logging\n#\n\nNOTSET = 0\nSUBDEBUG = 5\nDEBUG = 10\nINFO = 20\nSUBWARNING = 25\n\nLOGGER_NAME = 'multiprocessing'\nDEFAULT_LOGGING_FORMAT = '[%(levelname)s/%(processName)s] %(message)s'\n\n_logger = None\n_log_to_stderr = False\n\ndef sub_debug(msg, *args):\n if _logger:\n _logger.log(SUBDEBUG, msg, *args, stacklevel=2)\n\ndef debug(msg, *args):\n if _logger:\n _logger.log(DEBUG, msg, *args, stacklevel=2)\n\ndef info(msg, *args):\n if _logger:\n _logger.log(INFO, msg, *args, stacklevel=2)\n\ndef sub_warning(msg, *args):\n if _logger:\n _logger.log(SUBWARNING, msg, *args, stacklevel=2)\n\ndef get_logger():\n '''\n Returns logger used by multiprocessing\n '''\n global _logger\n import logging\n\n logging._acquireLock()\n try:\n if not _logger:\n\n _logger = logging.getLogger(LOGGER_NAME)\n _logger.propagate = 0\n\n # XXX multiprocessing should cleanup before logging\n if hasattr(atexit, 'unregister'):\n atexit.unregister(_exit_function)\n atexit.register(_exit_function)\n else:\n atexit._exithandlers.remove((_exit_function, (), {}))\n atexit._exithandlers.append((_exit_function, (), {}))\n\n finally:\n logging._releaseLock()\n\n return _logger\n\ndef log_to_stderr(level=None):\n '''\n Turn on logging and add a handler which prints to stderr\n '''\n global _log_to_stderr\n import logging\n\n logger = get_logger()\n formatter = logging.Formatter(DEFAULT_LOGGING_FORMAT)\n handler = logging.StreamHandler()\n handler.setFormatter(formatter)\n logger.addHandler(handler)\n\n if level:\n logger.setLevel(level)\n _log_to_stderr = True\n return _logger\n\n\n# Abstract socket support\n\ndef _platform_supports_abstract_sockets():\n if sys.platform == \"linux\":\n return True\n if hasattr(sys, 'getandroidapilevel'):\n return True\n return False\n\n\ndef is_abstract_socket_namespace(address):\n if not address:\n return False\n if isinstance(address, bytes):\n return address[0] == 0\n elif isinstance(address, str):\n return address[0] == \"\\0\"\n raise TypeError(f'address type of {address!r} unrecognized')\n\n\nabstract_sockets_supported = _platform_supports_abstract_sockets()\n\n#\n# Function returning a temp directory which will be removed on exit\n#\n\ndef _remove_temp_dir(rmtree, tempdir):\n def onerror(func, path, err_info):\n if not issubclass(err_info[0], FileNotFoundError):\n raise\n rmtree(tempdir, onerror=onerror)\n\n current_process = process.current_process()\n # current_process() can be None if the finalizer is called\n # late during Python finalization\n if current_process is not None:\n current_process._config['tempdir'] = None\n\ndef get_temp_dir():\n # get name of a temp directory which will be automatically cleaned up\n tempdir = process.current_process()._config.get('tempdir')\n if tempdir is None:\n import shutil, tempfile\n tempdir = tempfile.mkdtemp(prefix='pymp-')\n info('created temp directory %s', tempdir)\n # keep a strong reference to shutil.rmtree(), since the finalizer\n # can be called late during Python shutdown\n Finalize(None, _remove_temp_dir, args=(shutil.rmtree, tempdir),\n exitpriority=-100)\n process.current_process()._config['tempdir'] = tempdir\n return tempdir\n\n#\n# Support for reinitialization of objects when bootstrapping a child process\n#\n\n_afterfork_registry = weakref.WeakValueDictionary()\n_afterfork_counter = itertools.count()\n\ndef _run_after_forkers():\n items = list(_afterfork_registry.items())\n items.sort()\n for (index, ident, func), obj in items:\n try:\n func(obj)\n except Exception as e:\n info('after forker raised exception %s', e)\n\ndef register_after_fork(obj, func):\n _afterfork_registry[(next(_afterfork_counter), id(obj), func)] = obj\n\n#\n# Finalization using weakrefs\n#\n\n_finalizer_registry = {}\n_finalizer_counter = itertools.count()\n\n\nclass Finalize(object):\n '''\n Class which supports object finalization using weakrefs\n '''\n def __init__(self, obj, callback, args=(), kwargs=None, exitpriority=None):\n if (exitpriority is not None) and not isinstance(exitpriority,int):\n raise TypeError(\n \"Exitpriority ({0!r}) must be None or int, not {1!s}\".format(\n exitpriority, type(exitpriority)))\n\n if obj is not None:\n self._weakref = weakref.ref(obj, self)\n elif exitpriority is None:\n raise ValueError(\"Without object, exitpriority cannot be None\")\n\n self._callback = callback\n self._args = args\n self._kwargs = kwargs or {}\n self._key = (exitpriority, next(_finalizer_counter))\n self._pid = os.getpid()\n\n _finalizer_registry[self._key] = self\n\n def __call__(self, wr=None,\n # Need to bind these locally because the globals can have\n # been cleared at shutdown\n _finalizer_registry=_finalizer_registry,\n sub_debug=sub_debug, getpid=os.getpid):\n '''\n Run the callback unless it has already been called or cancelled\n '''\n try:\n del _finalizer_registry[self._key]\n except KeyError:\n sub_debug('finalizer no longer registered')\n else:\n if self._pid != getpid():\n sub_debug('finalizer ignored because different process')\n res = None\n else:\n sub_debug('finalizer calling %s with args %s and kwargs %s',\n self._callback, self._args, self._kwargs)\n res = self._callback(*self._args, **self._kwargs)\n self._weakref = self._callback = self._args = \\\n self._kwargs = self._key = None\n return res\n\n def cancel(self):\n '''\n Cancel finalization of the object\n '''\n try:\n del _finalizer_registry[self._key]\n except KeyError:\n pass\n else:\n self._weakref = self._callback = self._args = \\\n self._kwargs = self._key = None\n\n def still_active(self):\n '''\n Return whether this finalizer is still waiting to invoke callback\n '''\n return self._key in _finalizer_registry\n\n def __repr__(self):\n try:\n obj = self._weakref()\n except (AttributeError, TypeError):\n obj = None\n\n if obj is None:\n return '<%s object, dead>' % self.__class__.__name__\n\n x = '<%s object, callback=%s' % (\n self.__class__.__name__,\n getattr(self._callback, '__name__', self._callback))\n if self._args:\n x += ', args=' + str(self._args)\n if self._kwargs:\n x += ', kwargs=' + str(self._kwargs)\n if self._key[0] is not None:\n x += ', exitpriority=' + str(self._key[0])\n return x + '>'\n\n\ndef _run_finalizers(minpriority=None):\n '''\n Run all finalizers whose exit priority is not None and at least minpriority\n\n Finalizers with highest priority are called first; finalizers with\n the same priority will be called in reverse order of creation.\n '''\n if _finalizer_registry is None:\n # This function may be called after this module's globals are\n # destroyed. See the _exit_function function in this module for more\n # notes.\n return\n\n if minpriority is None:\n f = lambda p : p[0] is not None\n else:\n f = lambda p : p[0] is not None and p[0] >= minpriority\n\n # Careful: _finalizer_registry may be mutated while this function\n # is running (either by a GC run or by another thread).\n\n # list(_finalizer_registry) should be atomic, while\n # list(_finalizer_registry.items()) is not.\n keys = [key for key in list(_finalizer_registry) if f(key)]\n keys.sort(reverse=True)\n\n for key in keys:\n finalizer = _finalizer_registry.get(key)\n # key may have been removed from the registry\n if finalizer is not None:\n sub_debug('calling %s', finalizer)\n try:\n finalizer()\n except Exception:\n import traceback\n traceback.print_exc()\n\n if minpriority is None:\n _finalizer_registry.clear()\n\n#\n# Clean up on exit\n#\n\ndef is_exiting():\n '''\n Returns true if the process is shutting down\n '''\n return _exiting or _exiting is None\n\n_exiting = False\n\ndef _exit_function(info=info, debug=debug, _run_finalizers=_run_finalizers,\n active_children=process.active_children,\n current_process=process.current_process):\n # We hold on to references to functions in the arglist due to the\n # situation described below, where this function is called after this\n # module's globals are destroyed.\n\n global _exiting\n\n if not _exiting:\n _exiting = True\n\n info('process shutting down')\n debug('running all \"atexit\" finalizers with priority >= 0')\n _run_finalizers(0)\n\n if current_process() is not None:\n # We check if the current process is None here because if\n # it's None, any call to ``active_children()`` will raise\n # an AttributeError (active_children winds up trying to\n # get attributes from util._current_process). One\n # situation where this can happen is if someone has\n # manipulated sys.modules, causing this module to be\n # garbage collected. The destructor for the module type\n # then replaces all values in the module dict with None.\n # For instance, after setuptools runs a test it replaces\n # sys.modules with a copy created earlier. See issues\n # #9775 and #15881. Also related: #4106, #9205, and\n # #9207.\n\n for p in active_children():\n if p.daemon:\n info('calling terminate() for daemon %s', p.name)\n p._popen.terminate()\n\n for p in active_children():\n info('calling join() for process %s', p.name)\n p.join()\n\n debug('running the remaining \"atexit\" finalizers')\n _run_finalizers()\n\natexit.register(_exit_function)\n\n#\n# Some fork aware types\n#\n\nclass ForkAwareThreadLock(object):\n def __init__(self):\n self._lock = threading.Lock()\n self.acquire = self._lock.acquire\n self.release = self._lock.release\n register_after_fork(self, ForkAwareThreadLock._at_fork_reinit)\n\n def _at_fork_reinit(self):\n self._lock._at_fork_reinit()\n\n def __enter__(self):\n return self._lock.__enter__()\n\n def __exit__(self, *args):\n return self._lock.__exit__(*args)\n\n\nclass ForkAwareLocal(threading.local):\n def __init__(self):\n register_after_fork(self, lambda obj : obj.__dict__.clear())\n def __reduce__(self):\n return type(self), ()\n\n#\n# Close fds except those specified\n#\n\ntry:\n MAXFD = os.sysconf(\"SC_OPEN_MAX\")\nexcept Exception:\n MAXFD = 256\n\ndef close_all_fds_except(fds):\n fds = list(fds) + [-1, MAXFD]\n fds.sort()\n assert fds[-1] == MAXFD, 'fd too large'\n for i in range(len(fds) - 1):\n os.closerange(fds[i]+1, fds[i+1])\n#\n# Close sys.stdin and replace stdin with os.devnull\n#\n\ndef _close_stdin():\n if sys.stdin is None:\n return\n\n try:\n sys.stdin.close()\n except (OSError, ValueError):\n pass\n\n try:\n fd = os.open(os.devnull, os.O_RDONLY)\n try:\n sys.stdin = open(fd, encoding=\"utf-8\", closefd=False)\n except:\n os.close(fd)\n raise\n except (OSError, ValueError):\n pass\n\n#\n# Flush standard streams, if any\n#\n\ndef _flush_std_streams():\n try:\n sys.stdout.flush()\n except (AttributeError, ValueError):\n pass\n try:\n sys.stderr.flush()\n except (AttributeError, ValueError):\n pass\n\n#\n# Start a program with only specified fds kept open\n#\n\ndef spawnv_passfds(path, args, passfds):\n import _posixsubprocess\n import subprocess\n passfds = tuple(sorted(map(int, passfds)))\n errpipe_read, errpipe_write = os.pipe()\n try:\n return _posixsubprocess.fork_exec(\n args, [path], True, passfds, None, None,\n -1, -1, -1, -1, -1, -1, errpipe_read, errpipe_write,\n False, False, -1, None, None, None, -1, None,\n subprocess._USE_VFORK)\n finally:\n os.close(errpipe_read)\n os.close(errpipe_write)\n\n\ndef close_fds(*fds):\n \"\"\"Close each file descriptor given as an argument\"\"\"\n for fd in fds:\n os.close(fd)\n\n\ndef _cleanup_tests():\n \"\"\"Cleanup multiprocessing resources when multiprocessing tests\n completed.\"\"\"\n\n from test import support\n\n # cleanup multiprocessing\n process._cleanup()\n\n # Stop the ForkServer process if it's running\n from multiprocessing import forkserver\n forkserver._forkserver._stop()\n\n # Stop the ResourceTracker process if it's running\n from multiprocessing import resource_tracker\n resource_tracker._resource_tracker._stop()\n\n # bpo-37421: Explicitly call _run_finalizers() to remove immediately\n # temporary directories created by multiprocessing.util.get_temp_dir().\n _run_finalizers()\n support.gc_collect()\n\n support.reap_children()\n", 494], "/usr/lib/python3.12/multiprocessing/connection.py": ["#\n# A higher level module for using sockets (or Windows named pipes)\n#\n# multiprocessing/connection.py\n#\n# Copyright (c) 2006-2008, R Oudkerk\n# Licensed to PSF under a Contributor Agreement.\n#\n\n__all__ = [ 'Client', 'Listener', 'Pipe', 'wait' ]\n\nimport errno\nimport io\nimport os\nimport sys\nimport socket\nimport struct\nimport time\nimport tempfile\nimport itertools\n\nimport _multiprocessing\n\nfrom . import util\n\nfrom . import AuthenticationError, BufferTooShort\nfrom .context import reduction\n_ForkingPickler = reduction.ForkingPickler\n\ntry:\n import _winapi\n from _winapi import WAIT_OBJECT_0, WAIT_ABANDONED_0, WAIT_TIMEOUT, INFINITE\nexcept ImportError:\n if sys.platform == 'win32':\n raise\n _winapi = None\n\n#\n#\n#\n\nBUFSIZE = 8192\n# A very generous timeout when it comes to local connections...\nCONNECTION_TIMEOUT = 20.\n\n_mmap_counter = itertools.count()\n\ndefault_family = 'AF_INET'\nfamilies = ['AF_INET']\n\nif hasattr(socket, 'AF_UNIX'):\n default_family = 'AF_UNIX'\n families += ['AF_UNIX']\n\nif sys.platform == 'win32':\n default_family = 'AF_PIPE'\n families += ['AF_PIPE']\n\n\ndef _init_timeout(timeout=CONNECTION_TIMEOUT):\n return time.monotonic() + timeout\n\ndef _check_timeout(t):\n return time.monotonic() > t\n\n#\n#\n#\n\ndef arbitrary_address(family):\n '''\n Return an arbitrary free address for the given family\n '''\n if family == 'AF_INET':\n return ('localhost', 0)\n elif family == 'AF_UNIX':\n return tempfile.mktemp(prefix='listener-', dir=util.get_temp_dir())\n elif family == 'AF_PIPE':\n return tempfile.mktemp(prefix=r'\\\\.\\pipe\\pyc-%d-%d-' %\n (os.getpid(), next(_mmap_counter)), dir=\"\")\n else:\n raise ValueError('unrecognized family')\n\ndef _validate_family(family):\n '''\n Checks if the family is valid for the current environment.\n '''\n if sys.platform != 'win32' and family == 'AF_PIPE':\n raise ValueError('Family %s is not recognized.' % family)\n\n if sys.platform == 'win32' and family == 'AF_UNIX':\n # double check\n if not hasattr(socket, family):\n raise ValueError('Family %s is not recognized.' % family)\n\ndef address_type(address):\n '''\n Return the types of the address\n\n This can be 'AF_INET', 'AF_UNIX', or 'AF_PIPE'\n '''\n if type(address) == tuple:\n return 'AF_INET'\n elif type(address) is str and address.startswith('\\\\\\\\'):\n return 'AF_PIPE'\n elif type(address) is str or util.is_abstract_socket_namespace(address):\n return 'AF_UNIX'\n else:\n raise ValueError('address type of %r unrecognized' % address)\n\n#\n# Connection classes\n#\n\nclass _ConnectionBase:\n _handle = None\n\n def __init__(self, handle, readable=True, writable=True):\n handle = handle.__index__()\n if handle < 0:\n raise ValueError(\"invalid handle\")\n if not readable and not writable:\n raise ValueError(\n \"at least one of `readable` and `writable` must be True\")\n self._handle = handle\n self._readable = readable\n self._writable = writable\n\n # XXX should we use util.Finalize instead of a __del__?\n\n def __del__(self):\n if self._handle is not None:\n self._close()\n\n def _check_closed(self):\n if self._handle is None:\n raise OSError(\"handle is closed\")\n\n def _check_readable(self):\n if not self._readable:\n raise OSError(\"connection is write-only\")\n\n def _check_writable(self):\n if not self._writable:\n raise OSError(\"connection is read-only\")\n\n def _bad_message_length(self):\n if self._writable:\n self._readable = False\n else:\n self.close()\n raise OSError(\"bad message length\")\n\n @property\n def closed(self):\n \"\"\"True if the connection is closed\"\"\"\n return self._handle is None\n\n @property\n def readable(self):\n \"\"\"True if the connection is readable\"\"\"\n return self._readable\n\n @property\n def writable(self):\n \"\"\"True if the connection is writable\"\"\"\n return self._writable\n\n def fileno(self):\n \"\"\"File descriptor or handle of the connection\"\"\"\n self._check_closed()\n return self._handle\n\n def close(self):\n \"\"\"Close the connection\"\"\"\n if self._handle is not None:\n try:\n self._close()\n finally:\n self._handle = None\n\n def send_bytes(self, buf, offset=0, size=None):\n \"\"\"Send the bytes data from a bytes-like object\"\"\"\n self._check_closed()\n self._check_writable()\n m = memoryview(buf)\n if m.itemsize > 1:\n m = m.cast('B')\n n = m.nbytes\n if offset < 0:\n raise ValueError(\"offset is negative\")\n if n < offset:\n raise ValueError(\"buffer length < offset\")\n if size is None:\n size = n - offset\n elif size < 0:\n raise ValueError(\"size is negative\")\n elif offset + size > n:\n raise ValueError(\"buffer length < offset + size\")\n self._send_bytes(m[offset:offset + size])\n\n def send(self, obj):\n \"\"\"Send a (picklable) object\"\"\"\n self._check_closed()\n self._check_writable()\n self._send_bytes(_ForkingPickler.dumps(obj))\n\n def recv_bytes(self, maxlength=None):\n \"\"\"\n Receive bytes data as a bytes object.\n \"\"\"\n self._check_closed()\n self._check_readable()\n if maxlength is not None and maxlength < 0:\n raise ValueError(\"negative maxlength\")\n buf = self._recv_bytes(maxlength)\n if buf is None:\n self._bad_message_length()\n return buf.getvalue()\n\n def recv_bytes_into(self, buf, offset=0):\n \"\"\"\n Receive bytes data into a writeable bytes-like object.\n Return the number of bytes read.\n \"\"\"\n self._check_closed()\n self._check_readable()\n with memoryview(buf) as m:\n # Get bytesize of arbitrary buffer\n itemsize = m.itemsize\n bytesize = itemsize * len(m)\n if offset < 0:\n raise ValueError(\"negative offset\")\n elif offset > bytesize:\n raise ValueError(\"offset too large\")\n result = self._recv_bytes()\n size = result.tell()\n if bytesize < offset + size:\n raise BufferTooShort(result.getvalue())\n # Message can fit in dest\n result.seek(0)\n result.readinto(m[offset // itemsize :\n (offset + size) // itemsize])\n return size\n\n def recv(self):\n \"\"\"Receive a (picklable) object\"\"\"\n self._check_closed()\n self._check_readable()\n buf = self._recv_bytes()\n return _ForkingPickler.loads(buf.getbuffer())\n\n def poll(self, timeout=0.0):\n \"\"\"Whether there is any input available to be read\"\"\"\n self._check_closed()\n self._check_readable()\n return self._poll(timeout)\n\n def __enter__(self):\n return self\n\n def __exit__(self, exc_type, exc_value, exc_tb):\n self.close()\n\n\nif _winapi:\n\n class PipeConnection(_ConnectionBase):\n \"\"\"\n Connection class based on a Windows named pipe.\n Overlapped I/O is used, so the handles must have been created\n with FILE_FLAG_OVERLAPPED.\n \"\"\"\n _got_empty_message = False\n _send_ov = None\n\n def _close(self, _CloseHandle=_winapi.CloseHandle):\n ov = self._send_ov\n if ov is not None:\n # Interrupt WaitForMultipleObjects() in _send_bytes()\n ov.cancel()\n _CloseHandle(self._handle)\n\n def _send_bytes(self, buf):\n if self._send_ov is not None:\n # A connection should only be used by a single thread\n raise ValueError(\"concurrent send_bytes() calls \"\n \"are not supported\")\n ov, err = _winapi.WriteFile(self._handle, buf, overlapped=True)\n self._send_ov = ov\n try:\n if err == _winapi.ERROR_IO_PENDING:\n waitres = _winapi.WaitForMultipleObjects(\n [ov.event], False, INFINITE)\n assert waitres == WAIT_OBJECT_0\n except:\n ov.cancel()\n raise\n finally:\n self._send_ov = None\n nwritten, err = ov.GetOverlappedResult(True)\n if err == _winapi.ERROR_OPERATION_ABORTED:\n # close() was called by another thread while\n # WaitForMultipleObjects() was waiting for the overlapped\n # operation.\n raise OSError(errno.EPIPE, \"handle is closed\")\n assert err == 0\n assert nwritten == len(buf)\n\n def _recv_bytes(self, maxsize=None):\n if self._got_empty_message:\n self._got_empty_message = False\n return io.BytesIO()\n else:\n bsize = 128 if maxsize is None else min(maxsize, 128)\n try:\n ov, err = _winapi.ReadFile(self._handle, bsize,\n overlapped=True)\n try:\n if err == _winapi.ERROR_IO_PENDING:\n waitres = _winapi.WaitForMultipleObjects(\n [ov.event], False, INFINITE)\n assert waitres == WAIT_OBJECT_0\n except:\n ov.cancel()\n raise\n finally:\n nread, err = ov.GetOverlappedResult(True)\n if err == 0:\n f = io.BytesIO()\n f.write(ov.getbuffer())\n return f\n elif err == _winapi.ERROR_MORE_DATA:\n return self._get_more_data(ov, maxsize)\n except OSError as e:\n if e.winerror == _winapi.ERROR_BROKEN_PIPE:\n raise EOFError\n else:\n raise\n raise RuntimeError(\"shouldn't get here; expected KeyboardInterrupt\")\n\n def _poll(self, timeout):\n if (self._got_empty_message or\n _winapi.PeekNamedPipe(self._handle)[0] != 0):\n return True\n return bool(wait([self], timeout))\n\n def _get_more_data(self, ov, maxsize):\n buf = ov.getbuffer()\n f = io.BytesIO()\n f.write(buf)\n left = _winapi.PeekNamedPipe(self._handle)[1]\n assert left > 0\n if maxsize is not None and len(buf) + left > maxsize:\n self._bad_message_length()\n ov, err = _winapi.ReadFile(self._handle, left, overlapped=True)\n rbytes, err = ov.GetOverlappedResult(True)\n assert err == 0\n assert rbytes == left\n f.write(ov.getbuffer())\n return f\n\n\nclass Connection(_ConnectionBase):\n \"\"\"\n Connection class based on an arbitrary file descriptor (Unix only), or\n a socket handle (Windows).\n \"\"\"\n\n if _winapi:\n def _close(self, _close=_multiprocessing.closesocket):\n _close(self._handle)\n _write = _multiprocessing.send\n _read = _multiprocessing.recv\n else:\n def _close(self, _close=os.close):\n _close(self._handle)\n _write = os.write\n _read = os.read\n\n def _send(self, buf, write=_write):\n remaining = len(buf)\n while True:\n n = write(self._handle, buf)\n remaining -= n\n if remaining == 0:\n break\n buf = buf[n:]\n\n def _recv(self, size, read=_read):\n buf = io.BytesIO()\n handle = self._handle\n remaining = size\n while remaining > 0:\n chunk = read(handle, remaining)\n n = len(chunk)\n if n == 0:\n if remaining == size:\n raise EOFError\n else:\n raise OSError(\"got end of file during message\")\n buf.write(chunk)\n remaining -= n\n return buf\n\n def _send_bytes(self, buf):\n n = len(buf)\n if n > 0x7fffffff:\n pre_header = struct.pack(\"!i\", -1)\n header = struct.pack(\"!Q\", n)\n self._send(pre_header)\n self._send(header)\n self._send(buf)\n else:\n # For wire compatibility with 3.7 and lower\n header = struct.pack(\"!i\", n)\n if n > 16384:\n # The payload is large so Nagle's algorithm won't be triggered\n # and we'd better avoid the cost of concatenation.\n self._send(header)\n self._send(buf)\n else:\n # Issue #20540: concatenate before sending, to avoid delays due\n # to Nagle's algorithm on a TCP socket.\n # Also note we want to avoid sending a 0-length buffer separately,\n # to avoid \"broken pipe\" errors if the other end closed the pipe.\n self._send(header + buf)\n\n def _recv_bytes(self, maxsize=None):\n buf = self._recv(4)\n size, = struct.unpack(\"!i\", buf.getvalue())\n if size == -1:\n buf = self._recv(8)\n size, = struct.unpack(\"!Q\", buf.getvalue())\n if maxsize is not None and size > maxsize:\n return None\n return self._recv(size)\n\n def _poll(self, timeout):\n r = wait([self], timeout)\n return bool(r)\n\n\n#\n# Public functions\n#\n\nclass Listener(object):\n '''\n Returns a listener object.\n\n This is a wrapper for a bound socket which is 'listening' for\n connections, or for a Windows named pipe.\n '''\n def __init__(self, address=None, family=None, backlog=1, authkey=None):\n family = family or (address and address_type(address)) \\\n or default_family\n address = address or arbitrary_address(family)\n\n _validate_family(family)\n if family == 'AF_PIPE':\n self._listener = PipeListener(address, backlog)\n else:\n self._listener = SocketListener(address, family, backlog)\n\n if authkey is not None and not isinstance(authkey, bytes):\n raise TypeError('authkey should be a byte string')\n\n self._authkey = authkey\n\n def accept(self):\n '''\n Accept a connection on the bound socket or named pipe of `self`.\n\n Returns a `Connection` object.\n '''\n if self._listener is None:\n raise OSError('listener is closed')\n\n c = self._listener.accept()\n if self._authkey is not None:\n deliver_challenge(c, self._authkey)\n answer_challenge(c, self._authkey)\n return c\n\n def close(self):\n '''\n Close the bound socket or named pipe of `self`.\n '''\n listener = self._listener\n if listener is not None:\n self._listener = None\n listener.close()\n\n @property\n def address(self):\n return self._listener._address\n\n @property\n def last_accepted(self):\n return self._listener._last_accepted\n\n def __enter__(self):\n return self\n\n def __exit__(self, exc_type, exc_value, exc_tb):\n self.close()\n\n\ndef Client(address, family=None, authkey=None):\n '''\n Returns a connection to the address of a `Listener`\n '''\n family = family or address_type(address)\n _validate_family(family)\n if family == 'AF_PIPE':\n c = PipeClient(address)\n else:\n c = SocketClient(address)\n\n if authkey is not None and not isinstance(authkey, bytes):\n raise TypeError('authkey should be a byte string')\n\n if authkey is not None:\n answer_challenge(c, authkey)\n deliver_challenge(c, authkey)\n\n return c\n\n\nif sys.platform != 'win32':\n\n def Pipe(duplex=True):\n '''\n Returns pair of connection objects at either end of a pipe\n '''\n if duplex:\n s1, s2 = socket.socketpair()\n s1.setblocking(True)\n s2.setblocking(True)\n c1 = Connection(s1.detach())\n c2 = Connection(s2.detach())\n else:\n fd1, fd2 = os.pipe()\n c1 = Connection(fd1, writable=False)\n c2 = Connection(fd2, readable=False)\n\n return c1, c2\n\nelse:\n\n def Pipe(duplex=True):\n '''\n Returns pair of connection objects at either end of a pipe\n '''\n address = arbitrary_address('AF_PIPE')\n if duplex:\n openmode = _winapi.PIPE_ACCESS_DUPLEX\n access = _winapi.GENERIC_READ | _winapi.GENERIC_WRITE\n obsize, ibsize = BUFSIZE, BUFSIZE\n else:\n openmode = _winapi.PIPE_ACCESS_INBOUND\n access = _winapi.GENERIC_WRITE\n obsize, ibsize = 0, BUFSIZE\n\n h1 = _winapi.CreateNamedPipe(\n address, openmode | _winapi.FILE_FLAG_OVERLAPPED |\n _winapi.FILE_FLAG_FIRST_PIPE_INSTANCE,\n _winapi.PIPE_TYPE_MESSAGE | _winapi.PIPE_READMODE_MESSAGE |\n _winapi.PIPE_WAIT,\n 1, obsize, ibsize, _winapi.NMPWAIT_WAIT_FOREVER,\n # default security descriptor: the handle cannot be inherited\n _winapi.NULL\n )\n h2 = _winapi.CreateFile(\n address, access, 0, _winapi.NULL, _winapi.OPEN_EXISTING,\n _winapi.FILE_FLAG_OVERLAPPED, _winapi.NULL\n )\n _winapi.SetNamedPipeHandleState(\n h2, _winapi.PIPE_READMODE_MESSAGE, None, None\n )\n\n overlapped = _winapi.ConnectNamedPipe(h1, overlapped=True)\n _, err = overlapped.GetOverlappedResult(True)\n assert err == 0\n\n c1 = PipeConnection(h1, writable=duplex)\n c2 = PipeConnection(h2, readable=duplex)\n\n return c1, c2\n\n#\n# Definitions for connections based on sockets\n#\n\nclass SocketListener(object):\n '''\n Representation of a socket which is bound to an address and listening\n '''\n def __init__(self, address, family, backlog=1):\n self._socket = socket.socket(getattr(socket, family))\n try:\n # SO_REUSEADDR has different semantics on Windows (issue #2550).\n if os.name == 'posix':\n self._socket.setsockopt(socket.SOL_SOCKET,\n socket.SO_REUSEADDR, 1)\n self._socket.setblocking(True)\n self._socket.bind(address)\n self._socket.listen(backlog)\n self._address = self._socket.getsockname()\n except OSError:\n self._socket.close()\n raise\n self._family = family\n self._last_accepted = None\n\n if family == 'AF_UNIX' and not util.is_abstract_socket_namespace(address):\n # Linux abstract socket namespaces do not need to be explicitly unlinked\n self._unlink = util.Finalize(\n self, os.unlink, args=(address,), exitpriority=0\n )\n else:\n self._unlink = None\n\n def accept(self):\n s, self._last_accepted = self._socket.accept()\n s.setblocking(True)\n return Connection(s.detach())\n\n def close(self):\n try:\n self._socket.close()\n finally:\n unlink = self._unlink\n if unlink is not None:\n self._unlink = None\n unlink()\n\n\ndef SocketClient(address):\n '''\n Return a connection object connected to the socket given by `address`\n '''\n family = address_type(address)\n with socket.socket( getattr(socket, family) ) as s:\n s.setblocking(True)\n s.connect(address)\n return Connection(s.detach())\n\n#\n# Definitions for connections based on named pipes\n#\n\nif sys.platform == 'win32':\n\n class PipeListener(object):\n '''\n Representation of a named pipe\n '''\n def __init__(self, address, backlog=None):\n self._address = address\n self._handle_queue = [self._new_handle(first=True)]\n\n self._last_accepted = None\n util.sub_debug('listener created with address=%r', self._address)\n self.close = util.Finalize(\n self, PipeListener._finalize_pipe_listener,\n args=(self._handle_queue, self._address), exitpriority=0\n )\n\n def _new_handle(self, first=False):\n flags = _winapi.PIPE_ACCESS_DUPLEX | _winapi.FILE_FLAG_OVERLAPPED\n if first:\n flags |= _winapi.FILE_FLAG_FIRST_PIPE_INSTANCE\n return _winapi.CreateNamedPipe(\n self._address, flags,\n _winapi.PIPE_TYPE_MESSAGE | _winapi.PIPE_READMODE_MESSAGE |\n _winapi.PIPE_WAIT,\n _winapi.PIPE_UNLIMITED_INSTANCES, BUFSIZE, BUFSIZE,\n _winapi.NMPWAIT_WAIT_FOREVER, _winapi.NULL\n )\n\n def accept(self):\n self._handle_queue.append(self._new_handle())\n handle = self._handle_queue.pop(0)\n try:\n ov = _winapi.ConnectNamedPipe(handle, overlapped=True)\n except OSError as e:\n if e.winerror != _winapi.ERROR_NO_DATA:\n raise\n # ERROR_NO_DATA can occur if a client has already connected,\n # written data and then disconnected -- see Issue 14725.\n else:\n try:\n res = _winapi.WaitForMultipleObjects(\n [ov.event], False, INFINITE)\n except:\n ov.cancel()\n _winapi.CloseHandle(handle)\n raise\n finally:\n _, err = ov.GetOverlappedResult(True)\n assert err == 0\n return PipeConnection(handle)\n\n @staticmethod\n def _finalize_pipe_listener(queue, address):\n util.sub_debug('closing listener with address=%r', address)\n for handle in queue:\n _winapi.CloseHandle(handle)\n\n def PipeClient(address):\n '''\n Return a connection object connected to the pipe given by `address`\n '''\n t = _init_timeout()\n while 1:\n try:\n _winapi.WaitNamedPipe(address, 1000)\n h = _winapi.CreateFile(\n address, _winapi.GENERIC_READ | _winapi.GENERIC_WRITE,\n 0, _winapi.NULL, _winapi.OPEN_EXISTING,\n _winapi.FILE_FLAG_OVERLAPPED, _winapi.NULL\n )\n except OSError as e:\n if e.winerror not in (_winapi.ERROR_SEM_TIMEOUT,\n _winapi.ERROR_PIPE_BUSY) or _check_timeout(t):\n raise\n else:\n break\n else:\n raise\n\n _winapi.SetNamedPipeHandleState(\n h, _winapi.PIPE_READMODE_MESSAGE, None, None\n )\n return PipeConnection(h)\n\n#\n# Authentication stuff\n#\n\nMESSAGE_LENGTH = 40 # MUST be > 20\n\n_CHALLENGE = b'#CHALLENGE#'\n_WELCOME = b'#WELCOME#'\n_FAILURE = b'#FAILURE#'\n\n# multiprocessing.connection Authentication Handshake Protocol Description\n# (as documented for reference after reading the existing code)\n# =============================================================================\n#\n# On Windows: native pipes with \"overlapped IO\" are used to send the bytes,\n# instead of the length prefix SIZE scheme described below. (ie: the OS deals\n# with message sizes for us)\n#\n# Protocol error behaviors:\n#\n# On POSIX, any failure to receive the length prefix into SIZE, for SIZE greater\n# than the requested maxsize to receive, or receiving fewer than SIZE bytes\n# results in the connection being closed and auth to fail.\n#\n# On Windows, receiving too few bytes is never a low level _recv_bytes read\n# error, receiving too many will trigger an error only if receive maxsize\n# value was larger than 128 OR the if the data arrived in smaller pieces.\n#\n# Serving side Client side\n# ------------------------------ ---------------------------------------\n# 0. Open a connection on the pipe.\n# 1. Accept connection.\n# 2. Random 20+ bytes -> MESSAGE\n# Modern servers always send\n# more than 20 bytes and include\n# a {digest} prefix on it with\n# their preferred HMAC digest.\n# Legacy ones send ==20 bytes.\n# 3. send 4 byte length (net order)\n# prefix followed by:\n# b'#CHALLENGE#' + MESSAGE\n# 4. Receive 4 bytes, parse as network byte\n# order integer. If it is -1, receive an\n# additional 8 bytes, parse that as network\n# byte order. The result is the length of\n# the data that follows -> SIZE.\n# 5. Receive min(SIZE, 256) bytes -> M1\n# 6. Assert that M1 starts with:\n# b'#CHALLENGE#'\n# 7. Strip that prefix from M1 into -> M2\n# 7.1. Parse M2: if it is exactly 20 bytes in\n# length this indicates a legacy server\n# supporting only HMAC-MD5. Otherwise the\n# 7.2. preferred digest is looked up from an\n# expected \"{digest}\" prefix on M2. No prefix\n# or unsupported digest? <- AuthenticationError\n# 7.3. Put divined algorithm name in -> D_NAME\n# 8. Compute HMAC-D_NAME of AUTHKEY, M2 -> C_DIGEST\n# 9. Send 4 byte length prefix (net order)\n# followed by C_DIGEST bytes.\n# 10. Receive 4 or 4+8 byte length\n# prefix (#4 dance) -> SIZE.\n# 11. Receive min(SIZE, 256) -> C_D.\n# 11.1. Parse C_D: legacy servers\n# accept it as is, \"md5\" -> D_NAME\n# 11.2. modern servers check the length\n# of C_D, IF it is 16 bytes?\n# 11.2.1. \"md5\" -> D_NAME\n# and skip to step 12.\n# 11.3. longer? expect and parse a \"{digest}\"\n# prefix into -> D_NAME.\n# Strip the prefix and store remaining\n# bytes in -> C_D.\n# 11.4. Don't like D_NAME? <- AuthenticationError\n# 12. Compute HMAC-D_NAME of AUTHKEY,\n# MESSAGE into -> M_DIGEST.\n# 13. Compare M_DIGEST == C_D:\n# 14a: Match? Send length prefix &\n# b'#WELCOME#'\n# <- RETURN\n# 14b: Mismatch? Send len prefix &\n# b'#FAILURE#'\n# <- CLOSE & AuthenticationError\n# 15. Receive 4 or 4+8 byte length prefix (net\n# order) again as in #4 into -> SIZE.\n# 16. Receive min(SIZE, 256) bytes -> M3.\n# 17. Compare M3 == b'#WELCOME#':\n# 17a. Match? <- RETURN\n# 17b. Mismatch? <- CLOSE & AuthenticationError\n#\n# If this RETURNed, the connection remains open: it has been authenticated.\n#\n# Length prefixes are used consistently. Even on the legacy protocol, this\n# was good fortune and allowed us to evolve the protocol by using the length\n# of the opening challenge or length of the returned digest as a signal as\n# to which protocol the other end supports.\n\n_ALLOWED_DIGESTS = frozenset(\n {b'md5', b'sha256', b'sha384', b'sha3_256', b'sha3_384'})\n_MAX_DIGEST_LEN = max(len(_) for _ in _ALLOWED_DIGESTS)\n\n# Old hmac-md5 only server versions from Python <=3.11 sent a message of this\n# length. It happens to not match the length of any supported digest so we can\n# use a message of this length to indicate that we should work in backwards\n# compatible md5-only mode without a {digest_name} prefix on our response.\n_MD5ONLY_MESSAGE_LENGTH = 20\n_MD5_DIGEST_LEN = 16\n_LEGACY_LENGTHS = (_MD5ONLY_MESSAGE_LENGTH, _MD5_DIGEST_LEN)\n\n\ndef _get_digest_name_and_payload(message: bytes) -> (str, bytes):\n \"\"\"Returns a digest name and the payload for a response hash.\n\n If a legacy protocol is detected based on the message length\n or contents the digest name returned will be empty to indicate\n legacy mode where MD5 and no digest prefix should be sent.\n \"\"\"\n # modern message format: b\"{digest}payload\" longer than 20 bytes\n # legacy message format: 16 or 20 byte b\"payload\"\n if len(message) in _LEGACY_LENGTHS:\n # Either this was a legacy server challenge, or we're processing\n # a reply from a legacy client that sent an unprefixed 16-byte\n # HMAC-MD5 response. All messages using the modern protocol will\n # be longer than either of these lengths.\n return '', message\n if (message.startswith(b'{') and\n (curly := message.find(b'}', 1, _MAX_DIGEST_LEN+2)) > 0):\n digest = message[1:curly]\n if digest in _ALLOWED_DIGESTS:\n payload = message[curly+1:]\n return digest.decode('ascii'), payload\n raise AuthenticationError(\n 'unsupported message length, missing digest prefix, '\n f'or unsupported digest: {message=}')\n\n\ndef _create_response(authkey, message):\n \"\"\"Create a MAC based on authkey and message\n\n The MAC algorithm defaults to HMAC-MD5, unless MD5 is not available or\n the message has a '{digest_name}' prefix. For legacy HMAC-MD5, the response\n is the raw MAC, otherwise the response is prefixed with '{digest_name}',\n e.g. b'{sha256}abcdefg...'\n\n Note: The MAC protects the entire message including the digest_name prefix.\n \"\"\"\n import hmac\n digest_name = _get_digest_name_and_payload(message)[0]\n # The MAC protects the entire message: digest header and payload.\n if not digest_name:\n # Legacy server without a {digest} prefix on message.\n # Generate a legacy non-prefixed HMAC-MD5 reply.\n try:\n return hmac.new(authkey, message, 'md5').digest()\n except ValueError:\n # HMAC-MD5 is not available (FIPS mode?), fall back to\n # HMAC-SHA2-256 modern protocol. The legacy server probably\n # doesn't support it and will reject us anyways. :shrug:\n digest_name = 'sha256'\n # Modern protocol, indicate the digest used in the reply.\n response = hmac.new(authkey, message, digest_name).digest()\n return b'{%s}%s' % (digest_name.encode('ascii'), response)\n\n\ndef _verify_challenge(authkey, message, response):\n \"\"\"Verify MAC challenge\n\n If our message did not include a digest_name prefix, the client is allowed\n to select a stronger digest_name from _ALLOWED_DIGESTS.\n\n In case our message is prefixed, a client cannot downgrade to a weaker\n algorithm, because the MAC is calculated over the entire message\n including the '{digest_name}' prefix.\n \"\"\"\n import hmac\n response_digest, response_mac = _get_digest_name_and_payload(response)\n response_digest = response_digest or 'md5'\n try:\n expected = hmac.new(authkey, message, response_digest).digest()\n except ValueError:\n raise AuthenticationError(f'{response_digest=} unsupported')\n if len(expected) != len(response_mac):\n raise AuthenticationError(\n f'expected {response_digest!r} of length {len(expected)} '\n f'got {len(response_mac)}')\n if not hmac.compare_digest(expected, response_mac):\n raise AuthenticationError('digest received was wrong')\n\n\ndef deliver_challenge(connection, authkey: bytes, digest_name='sha256'):\n if not isinstance(authkey, bytes):\n raise ValueError(\n \"Authkey must be bytes, not {0!s}\".format(type(authkey)))\n assert MESSAGE_LENGTH > _MD5ONLY_MESSAGE_LENGTH, \"protocol constraint\"\n message = os.urandom(MESSAGE_LENGTH)\n message = b'{%s}%s' % (digest_name.encode('ascii'), message)\n # Even when sending a challenge to a legacy client that does not support\n # digest prefixes, they'll take the entire thing as a challenge and\n # respond to it with a raw HMAC-MD5.\n connection.send_bytes(_CHALLENGE + message)\n response = connection.recv_bytes(256) # reject large message\n try:\n _verify_challenge(authkey, message, response)\n except AuthenticationError:\n connection.send_bytes(_FAILURE)\n raise\n else:\n connection.send_bytes(_WELCOME)\n\n\ndef answer_challenge(connection, authkey: bytes):\n if not isinstance(authkey, bytes):\n raise ValueError(\n \"Authkey must be bytes, not {0!s}\".format(type(authkey)))\n message = connection.recv_bytes(256) # reject large message\n if not message.startswith(_CHALLENGE):\n raise AuthenticationError(\n f'Protocol error, expected challenge: {message=}')\n message = message[len(_CHALLENGE):]\n if len(message) < _MD5ONLY_MESSAGE_LENGTH:\n raise AuthenticationError('challenge too short: {len(message)} bytes')\n digest = _create_response(authkey, message)\n connection.send_bytes(digest)\n response = connection.recv_bytes(256) # reject large message\n if response != _WELCOME:\n raise AuthenticationError('digest sent was rejected')\n\n#\n# Support for using xmlrpclib for serialization\n#\n\nclass ConnectionWrapper(object):\n def __init__(self, conn, dumps, loads):\n self._conn = conn\n self._dumps = dumps\n self._loads = loads\n for attr in ('fileno', 'close', 'poll', 'recv_bytes', 'send_bytes'):\n obj = getattr(conn, attr)\n setattr(self, attr, obj)\n def send(self, obj):\n s = self._dumps(obj)\n self._conn.send_bytes(s)\n def recv(self):\n s = self._conn.recv_bytes()\n return self._loads(s)\n\ndef _xml_dumps(obj):\n return xmlrpclib.dumps((obj,), None, None, None, 1).encode('utf-8')\n\ndef _xml_loads(s):\n (obj,), method = xmlrpclib.loads(s.decode('utf-8'))\n return obj\n\nclass XmlListener(Listener):\n def accept(self):\n global xmlrpclib\n import xmlrpc.client as xmlrpclib\n obj = Listener.accept(self)\n return ConnectionWrapper(obj, _xml_dumps, _xml_loads)\n\ndef XmlClient(*args, **kwds):\n global xmlrpclib\n import xmlrpc.client as xmlrpclib\n return ConnectionWrapper(Client(*args, **kwds), _xml_dumps, _xml_loads)\n\n#\n# Wait\n#\n\nif sys.platform == 'win32':\n\n def _exhaustive_wait(handles, timeout):\n # Return ALL handles which are currently signalled. (Only\n # returning the first signalled might create starvation issues.)\n L = list(handles)\n ready = []\n while L:\n res = _winapi.WaitForMultipleObjects(L, False, timeout)\n if res == WAIT_TIMEOUT:\n break\n elif WAIT_OBJECT_0 <= res < WAIT_OBJECT_0 + len(L):\n res -= WAIT_OBJECT_0\n elif WAIT_ABANDONED_0 <= res < WAIT_ABANDONED_0 + len(L):\n res -= WAIT_ABANDONED_0\n else:\n raise RuntimeError('Should not get here')\n ready.append(L[res])\n L = L[res+1:]\n timeout = 0\n return ready\n\n _ready_errors = {_winapi.ERROR_BROKEN_PIPE, _winapi.ERROR_NETNAME_DELETED}\n\n def wait(object_list, timeout=None):\n '''\n Wait till an object in object_list is ready/readable.\n\n Returns list of those objects in object_list which are ready/readable.\n '''\n if timeout is None:\n timeout = INFINITE\n elif timeout < 0:\n timeout = 0\n else:\n timeout = int(timeout * 1000 + 0.5)\n\n object_list = list(object_list)\n waithandle_to_obj = {}\n ov_list = []\n ready_objects = set()\n ready_handles = set()\n\n try:\n for o in object_list:\n try:\n fileno = getattr(o, 'fileno')\n except AttributeError:\n waithandle_to_obj[o.__index__()] = o\n else:\n # start an overlapped read of length zero\n try:\n ov, err = _winapi.ReadFile(fileno(), 0, True)\n except OSError as e:\n ov, err = None, e.winerror\n if err not in _ready_errors:\n raise\n if err == _winapi.ERROR_IO_PENDING:\n ov_list.append(ov)\n waithandle_to_obj[ov.event] = o\n else:\n # If o.fileno() is an overlapped pipe handle and\n # err == 0 then there is a zero length message\n # in the pipe, but it HAS NOT been consumed...\n if ov and sys.getwindowsversion()[:2] >= (6, 2):\n # ... except on Windows 8 and later, where\n # the message HAS been consumed.\n try:\n _, err = ov.GetOverlappedResult(False)\n except OSError as e:\n err = e.winerror\n if not err and hasattr(o, '_got_empty_message'):\n o._got_empty_message = True\n ready_objects.add(o)\n timeout = 0\n\n ready_handles = _exhaustive_wait(waithandle_to_obj.keys(), timeout)\n finally:\n # request that overlapped reads stop\n for ov in ov_list:\n ov.cancel()\n\n # wait for all overlapped reads to stop\n for ov in ov_list:\n try:\n _, err = ov.GetOverlappedResult(True)\n except OSError as e:\n err = e.winerror\n if err not in _ready_errors:\n raise\n if err != _winapi.ERROR_OPERATION_ABORTED:\n o = waithandle_to_obj[ov.event]\n ready_objects.add(o)\n if err == 0:\n # If o.fileno() is an overlapped pipe handle then\n # a zero length message HAS been consumed.\n if hasattr(o, '_got_empty_message'):\n o._got_empty_message = True\n\n ready_objects.update(waithandle_to_obj[h] for h in ready_handles)\n return [o for o in object_list if o in ready_objects]\n\nelse:\n\n import selectors\n\n # poll/select have the advantage of not requiring any extra file\n # descriptor, contrarily to epoll/kqueue (also, they require a single\n # syscall).\n if hasattr(selectors, 'PollSelector'):\n _WaitSelector = selectors.PollSelector\n else:\n _WaitSelector = selectors.SelectSelector\n\n def wait(object_list, timeout=None):\n '''\n Wait till an object in object_list is ready/readable.\n\n Returns list of those objects in object_list which are ready/readable.\n '''\n with _WaitSelector() as selector:\n for obj in object_list:\n selector.register(obj, selectors.EVENT_READ)\n\n if timeout is not None:\n deadline = time.monotonic() + timeout\n\n while True:\n ready = selector.select(timeout)\n if ready:\n return [key.fileobj for (key, events) in ready]\n else:\n if timeout is not None:\n timeout = deadline - time.monotonic()\n if timeout < 0:\n return ready\n\n#\n# Make connection and socket objects shareable if possible\n#\n\nif sys.platform == 'win32':\n def reduce_connection(conn):\n handle = conn.fileno()\n with socket.fromfd(handle, socket.AF_INET, socket.SOCK_STREAM) as s:\n from . import resource_sharer\n ds = resource_sharer.DupSocket(s)\n return rebuild_connection, (ds, conn.readable, conn.writable)\n def rebuild_connection(ds, readable, writable):\n sock = ds.detach()\n return Connection(sock.detach(), readable, writable)\n reduction.register(Connection, reduce_connection)\n\n def reduce_pipe_connection(conn):\n access = ((_winapi.FILE_GENERIC_READ if conn.readable else 0) |\n (_winapi.FILE_GENERIC_WRITE if conn.writable else 0))\n dh = reduction.DupHandle(conn.fileno(), access)\n return rebuild_pipe_connection, (dh, conn.readable, conn.writable)\n def rebuild_pipe_connection(dh, readable, writable):\n handle = dh.detach()\n return PipeConnection(handle, readable, writable)\n reduction.register(PipeConnection, reduce_pipe_connection)\n\nelse:\n def reduce_connection(conn):\n df = reduction.DupFd(conn.fileno())\n return rebuild_connection, (df, conn.readable, conn.writable)\n def rebuild_connection(df, readable, writable):\n fd = df.detach()\n return Connection(fd, readable, writable)\n reduction.register(Connection, reduce_connection)\n", 1178], "/usr/lib/python3.12/multiprocessing/queues.py": ["#\n# Module implementing queues\n#\n# multiprocessing/queues.py\n#\n# Copyright (c) 2006-2008, R Oudkerk\n# Licensed to PSF under a Contributor Agreement.\n#\n\n__all__ = ['Queue', 'SimpleQueue', 'JoinableQueue']\n\nimport sys\nimport os\nimport threading\nimport collections\nimport time\nimport types\nimport weakref\nimport errno\n\nfrom queue import Empty, Full\n\nimport _multiprocessing\n\nfrom . import connection\nfrom . import context\n_ForkingPickler = context.reduction.ForkingPickler\n\nfrom .util import debug, info, Finalize, register_after_fork, is_exiting\n\n#\n# Queue type using a pipe, buffer and thread\n#\n\nclass Queue(object):\n\n def __init__(self, maxsize=0, *, ctx):\n if maxsize <= 0:\n # Can raise ImportError (see issues #3770 and #23400)\n from .synchronize import SEM_VALUE_MAX as maxsize\n self._maxsize = maxsize\n self._reader, self._writer = connection.Pipe(duplex=False)\n self._rlock = ctx.Lock()\n self._opid = os.getpid()\n if sys.platform == 'win32':\n self._wlock = None\n else:\n self._wlock = ctx.Lock()\n self._sem = ctx.BoundedSemaphore(maxsize)\n # For use by concurrent.futures\n self._ignore_epipe = False\n self._reset()\n\n if sys.platform != 'win32':\n register_after_fork(self, Queue._after_fork)\n\n def __getstate__(self):\n context.assert_spawning(self)\n return (self._ignore_epipe, self._maxsize, self._reader, self._writer,\n self._rlock, self._wlock, self._sem, self._opid)\n\n def __setstate__(self, state):\n (self._ignore_epipe, self._maxsize, self._reader, self._writer,\n self._rlock, self._wlock, self._sem, self._opid) = state\n self._reset()\n\n def _after_fork(self):\n debug('Queue._after_fork()')\n self._reset(after_fork=True)\n\n def _reset(self, after_fork=False):\n if after_fork:\n self._notempty._at_fork_reinit()\n else:\n self._notempty = threading.Condition(threading.Lock())\n self._buffer = collections.deque()\n self._thread = None\n self._jointhread = None\n self._joincancelled = False\n self._closed = False\n self._close = None\n self._send_bytes = self._writer.send_bytes\n self._recv_bytes = self._reader.recv_bytes\n self._poll = self._reader.poll\n\n def put(self, obj, block=True, timeout=None):\n if self._closed:\n raise ValueError(f\"Queue {self!r} is closed\")\n if not self._sem.acquire(block, timeout):\n raise Full\n\n with self._notempty:\n if self._thread is None:\n self._start_thread()\n self._buffer.append(obj)\n self._notempty.notify()\n\n def get(self, block=True, timeout=None):\n if self._closed:\n raise ValueError(f\"Queue {self!r} is closed\")\n if block and timeout is None:\n with self._rlock:\n res = self._recv_bytes()\n self._sem.release()\n else:\n if block:\n deadline = time.monotonic() + timeout\n if not self._rlock.acquire(block, timeout):\n raise Empty\n try:\n if block:\n timeout = deadline - time.monotonic()\n if not self._poll(timeout):\n raise Empty\n elif not self._poll():\n raise Empty\n res = self._recv_bytes()\n self._sem.release()\n finally:\n self._rlock.release()\n # unserialize the data after having released the lock\n return _ForkingPickler.loads(res)\n\n def qsize(self):\n # Raises NotImplementedError on Mac OSX because of broken sem_getvalue()\n return self._maxsize - self._sem._semlock._get_value()\n\n def empty(self):\n return not self._poll()\n\n def full(self):\n return self._sem._semlock._is_zero()\n\n def get_nowait(self):\n return self.get(False)\n\n def put_nowait(self, obj):\n return self.put(obj, False)\n\n def close(self):\n self._closed = True\n close = self._close\n if close:\n self._close = None\n close()\n\n def join_thread(self):\n debug('Queue.join_thread()')\n assert self._closed, \"Queue {0!r} not closed\".format(self)\n if self._jointhread:\n self._jointhread()\n\n def cancel_join_thread(self):\n debug('Queue.cancel_join_thread()')\n self._joincancelled = True\n try:\n self._jointhread.cancel()\n except AttributeError:\n pass\n\n def _terminate_broken(self):\n # Close a Queue on error.\n\n # gh-94777: Prevent queue writing to a pipe which is no longer read.\n self._reader.close()\n\n # gh-107219: Close the connection writer which can unblock\n # Queue._feed() if it was stuck in send_bytes().\n if sys.platform == 'win32':\n self._writer.close()\n\n self.close()\n self.join_thread()\n\n def _start_thread(self):\n debug('Queue._start_thread()')\n\n # Start thread which transfers data from buffer to pipe\n self._buffer.clear()\n self._thread = threading.Thread(\n target=Queue._feed,\n args=(self._buffer, self._notempty, self._send_bytes,\n self._wlock, self._reader.close, self._writer.close,\n self._ignore_epipe, self._on_queue_feeder_error,\n self._sem),\n name='QueueFeederThread',\n daemon=True,\n )\n\n try:\n debug('doing self._thread.start()')\n self._thread.start()\n debug('... done self._thread.start()')\n except:\n # gh-109047: During Python finalization, creating a thread\n # can fail with RuntimeError.\n self._thread = None\n raise\n\n if not self._joincancelled:\n self._jointhread = Finalize(\n self._thread, Queue._finalize_join,\n [weakref.ref(self._thread)],\n exitpriority=-5\n )\n\n # Send sentinel to the thread queue object when garbage collected\n self._close = Finalize(\n self, Queue._finalize_close,\n [self._buffer, self._notempty],\n exitpriority=10\n )\n\n @staticmethod\n def _finalize_join(twr):\n debug('joining queue thread')\n thread = twr()\n if thread is not None:\n thread.join()\n debug('... queue thread joined')\n else:\n debug('... queue thread already dead')\n\n @staticmethod\n def _finalize_close(buffer, notempty):\n debug('telling queue thread to quit')\n with notempty:\n buffer.append(_sentinel)\n notempty.notify()\n\n @staticmethod\n def _feed(buffer, notempty, send_bytes, writelock, reader_close,\n writer_close, ignore_epipe, onerror, queue_sem):\n debug('starting thread to feed data to pipe')\n nacquire = notempty.acquire\n nrelease = notempty.release\n nwait = notempty.wait\n bpopleft = buffer.popleft\n sentinel = _sentinel\n if sys.platform != 'win32':\n wacquire = writelock.acquire\n wrelease = writelock.release\n else:\n wacquire = None\n\n while 1:\n try:\n nacquire()\n try:\n if not buffer:\n nwait()\n finally:\n nrelease()\n try:\n while 1:\n obj = bpopleft()\n if obj is sentinel:\n debug('feeder thread got sentinel -- exiting')\n reader_close()\n writer_close()\n return\n\n # serialize the data before acquiring the lock\n obj = _ForkingPickler.dumps(obj)\n if wacquire is None:\n send_bytes(obj)\n else:\n wacquire()\n try:\n send_bytes(obj)\n finally:\n wrelease()\n except IndexError:\n pass\n except Exception as e:\n if ignore_epipe and getattr(e, 'errno', 0) == errno.EPIPE:\n return\n # Since this runs in a daemon thread the resources it uses\n # may be become unusable while the process is cleaning up.\n # We ignore errors which happen after the process has\n # started to cleanup.\n if is_exiting():\n info('error in queue thread: %s', e)\n return\n else:\n # Since the object has not been sent in the queue, we need\n # to decrease the size of the queue. The error acts as\n # if the object had been silently removed from the queue\n # and this step is necessary to have a properly working\n # queue.\n queue_sem.release()\n onerror(e, obj)\n\n @staticmethod\n def _on_queue_feeder_error(e, obj):\n \"\"\"\n Private API hook called when feeding data in the background thread\n raises an exception. For overriding by concurrent.futures.\n \"\"\"\n import traceback\n traceback.print_exc()\n\n __class_getitem__ = classmethod(types.GenericAlias)\n\n\n_sentinel = object()\n\n#\n# A queue type which also supports join() and task_done() methods\n#\n# Note that if you do not call task_done() for each finished task then\n# eventually the counter's semaphore may overflow causing Bad Things\n# to happen.\n#\n\nclass JoinableQueue(Queue):\n\n def __init__(self, maxsize=0, *, ctx):\n Queue.__init__(self, maxsize, ctx=ctx)\n self._unfinished_tasks = ctx.Semaphore(0)\n self._cond = ctx.Condition()\n\n def __getstate__(self):\n return Queue.__getstate__(self) + (self._cond, self._unfinished_tasks)\n\n def __setstate__(self, state):\n Queue.__setstate__(self, state[:-2])\n self._cond, self._unfinished_tasks = state[-2:]\n\n def put(self, obj, block=True, timeout=None):\n if self._closed:\n raise ValueError(f\"Queue {self!r} is closed\")\n if not self._sem.acquire(block, timeout):\n raise Full\n\n with self._notempty, self._cond:\n if self._thread is None:\n self._start_thread()\n self._buffer.append(obj)\n self._unfinished_tasks.release()\n self._notempty.notify()\n\n def task_done(self):\n with self._cond:\n if not self._unfinished_tasks.acquire(False):\n raise ValueError('task_done() called too many times')\n if self._unfinished_tasks._semlock._is_zero():\n self._cond.notify_all()\n\n def join(self):\n with self._cond:\n if not self._unfinished_tasks._semlock._is_zero():\n self._cond.wait()\n\n#\n# Simplified Queue type -- really just a locked pipe\n#\n\nclass SimpleQueue(object):\n\n def __init__(self, *, ctx):\n self._reader, self._writer = connection.Pipe(duplex=False)\n self._rlock = ctx.Lock()\n self._poll = self._reader.poll\n if sys.platform == 'win32':\n self._wlock = None\n else:\n self._wlock = ctx.Lock()\n\n def close(self):\n self._reader.close()\n self._writer.close()\n\n def empty(self):\n return not self._poll()\n\n def __getstate__(self):\n context.assert_spawning(self)\n return (self._reader, self._writer, self._rlock, self._wlock)\n\n def __setstate__(self, state):\n (self._reader, self._writer, self._rlock, self._wlock) = state\n self._poll = self._reader.poll\n\n def get(self):\n with self._rlock:\n res = self._reader.recv_bytes()\n # unserialize the data after having released the lock\n return _ForkingPickler.loads(res)\n\n def put(self, obj):\n # serialize the data before acquiring the lock\n obj = _ForkingPickler.dumps(obj)\n if self._wlock is None:\n # writes to a message oriented win32 pipe are atomic\n self._writer.send_bytes(obj)\n else:\n with self._wlock:\n self._writer.send_bytes(obj)\n\n __class_getitem__ = classmethod(types.GenericAlias)\n", 401], "/home/gaogaotiantian/programs/viztracer/example/src/multi_process_pool.py": ["import os\nfrom multiprocessing import Pool\n\n\ndef f(x):\n return x**x\n\n\nif __name__ == \"__main__\":\n process_num = 5\n with Pool(processes=process_num) as pool:\n print(pool.map(f, range(10)))\n\n for i in pool.imap_unordered(f, range(10)):\n print(i)\n\n res = pool.apply_async(f, (20,)) # runs in *only* one process\n print(res.get(timeout=1)) # prints \"400\"\n\n res = pool.apply_async(os.getpid, ()) # runs in *only* one process\n print(res.get(timeout=1)) # prints the PID of that process\n\n multiple_results = [pool.apply_async(os.getpid, ()) for i in range(process_num)]\n print([res.get(timeout=1) for res in multiple_results])\n", 24], "/usr/lib/python3.12/multiprocessing/reduction.py": ["#\n# Module which deals with pickling of objects.\n#\n# multiprocessing/reduction.py\n#\n# Copyright (c) 2006-2008, R Oudkerk\n# Licensed to PSF under a Contributor Agreement.\n#\n\nfrom abc import ABCMeta\nimport copyreg\nimport functools\nimport io\nimport os\nimport pickle\nimport socket\nimport sys\n\nfrom . import context\n\n__all__ = ['send_handle', 'recv_handle', 'ForkingPickler', 'register', 'dump']\n\n\nHAVE_SEND_HANDLE = (sys.platform == 'win32' or\n (hasattr(socket, 'CMSG_LEN') and\n hasattr(socket, 'SCM_RIGHTS') and\n hasattr(socket.socket, 'sendmsg')))\n\n#\n# Pickler subclass\n#\n\nclass ForkingPickler(pickle.Pickler):\n '''Pickler subclass used by multiprocessing.'''\n _extra_reducers = {}\n _copyreg_dispatch_table = copyreg.dispatch_table\n\n def __init__(self, *args):\n super().__init__(*args)\n self.dispatch_table = self._copyreg_dispatch_table.copy()\n self.dispatch_table.update(self._extra_reducers)\n\n @classmethod\n def register(cls, type, reduce):\n '''Register a reduce function for a type.'''\n cls._extra_reducers[type] = reduce\n\n @classmethod\n def dumps(cls, obj, protocol=None):\n buf = io.BytesIO()\n cls(buf, protocol).dump(obj)\n return buf.getbuffer()\n\n loads = pickle.loads\n\nregister = ForkingPickler.register\n\ndef dump(obj, file, protocol=None):\n '''Replacement for pickle.dump() using ForkingPickler.'''\n ForkingPickler(file, protocol).dump(obj)\n\n#\n# Platform specific definitions\n#\n\nif sys.platform == 'win32':\n # Windows\n __all__ += ['DupHandle', 'duplicate', 'steal_handle']\n import _winapi\n\n def duplicate(handle, target_process=None, inheritable=False,\n *, source_process=None):\n '''Duplicate a handle. (target_process is a handle not a pid!)'''\n current_process = _winapi.GetCurrentProcess()\n if source_process is None:\n source_process = current_process\n if target_process is None:\n target_process = current_process\n return _winapi.DuplicateHandle(\n source_process, handle, target_process,\n 0, inheritable, _winapi.DUPLICATE_SAME_ACCESS)\n\n def steal_handle(source_pid, handle):\n '''Steal a handle from process identified by source_pid.'''\n source_process_handle = _winapi.OpenProcess(\n _winapi.PROCESS_DUP_HANDLE, False, source_pid)\n try:\n return _winapi.DuplicateHandle(\n source_process_handle, handle,\n _winapi.GetCurrentProcess(), 0, False,\n _winapi.DUPLICATE_SAME_ACCESS | _winapi.DUPLICATE_CLOSE_SOURCE)\n finally:\n _winapi.CloseHandle(source_process_handle)\n\n def send_handle(conn, handle, destination_pid):\n '''Send a handle over a local connection.'''\n dh = DupHandle(handle, _winapi.DUPLICATE_SAME_ACCESS, destination_pid)\n conn.send(dh)\n\n def recv_handle(conn):\n '''Receive a handle over a local connection.'''\n return conn.recv().detach()\n\n class DupHandle(object):\n '''Picklable wrapper for a handle.'''\n def __init__(self, handle, access, pid=None):\n if pid is None:\n # We just duplicate the handle in the current process and\n # let the receiving process steal the handle.\n pid = os.getpid()\n proc = _winapi.OpenProcess(_winapi.PROCESS_DUP_HANDLE, False, pid)\n try:\n self._handle = _winapi.DuplicateHandle(\n _winapi.GetCurrentProcess(),\n handle, proc, access, False, 0)\n finally:\n _winapi.CloseHandle(proc)\n self._access = access\n self._pid = pid\n\n def detach(self):\n '''Get the handle. This should only be called once.'''\n # retrieve handle from process which currently owns it\n if self._pid == os.getpid():\n # The handle has already been duplicated for this process.\n return self._handle\n # We must steal the handle from the process whose pid is self._pid.\n proc = _winapi.OpenProcess(_winapi.PROCESS_DUP_HANDLE, False,\n self._pid)\n try:\n return _winapi.DuplicateHandle(\n proc, self._handle, _winapi.GetCurrentProcess(),\n self._access, False, _winapi.DUPLICATE_CLOSE_SOURCE)\n finally:\n _winapi.CloseHandle(proc)\n\nelse:\n # Unix\n __all__ += ['DupFd', 'sendfds', 'recvfds']\n import array\n\n # On MacOSX we should acknowledge receipt of fds -- see Issue14669\n ACKNOWLEDGE = sys.platform == 'darwin'\n\n def sendfds(sock, fds):\n '''Send an array of fds over an AF_UNIX socket.'''\n fds = array.array('i', fds)\n msg = bytes([len(fds) % 256])\n sock.sendmsg([msg], [(socket.SOL_SOCKET, socket.SCM_RIGHTS, fds)])\n if ACKNOWLEDGE and sock.recv(1) != b'A':\n raise RuntimeError('did not receive acknowledgement of fd')\n\n def recvfds(sock, size):\n '''Receive an array of fds over an AF_UNIX socket.'''\n a = array.array('i')\n bytes_size = a.itemsize * size\n msg, ancdata, flags, addr = sock.recvmsg(1, socket.CMSG_SPACE(bytes_size))\n if not msg and not ancdata:\n raise EOFError\n try:\n if ACKNOWLEDGE:\n sock.send(b'A')\n if len(ancdata) != 1:\n raise RuntimeError('received %d items of ancdata' %\n len(ancdata))\n cmsg_level, cmsg_type, cmsg_data = ancdata[0]\n if (cmsg_level == socket.SOL_SOCKET and\n cmsg_type == socket.SCM_RIGHTS):\n if len(cmsg_data) % a.itemsize != 0:\n raise ValueError\n a.frombytes(cmsg_data)\n if len(a) % 256 != msg[0]:\n raise AssertionError(\n \"Len is {0:n} but msg[0] is {1!r}\".format(\n len(a), msg[0]))\n return list(a)\n except (ValueError, IndexError):\n pass\n raise RuntimeError('Invalid data received')\n\n def send_handle(conn, handle, destination_pid):\n '''Send a handle over a local connection.'''\n with socket.fromfd(conn.fileno(), socket.AF_UNIX, socket.SOCK_STREAM) as s:\n sendfds(s, [handle])\n\n def recv_handle(conn):\n '''Receive a handle over a local connection.'''\n with socket.fromfd(conn.fileno(), socket.AF_UNIX, socket.SOCK_STREAM) as s:\n return recvfds(s, 1)[0]\n\n def DupFd(fd):\n '''Return a wrapper for an fd.'''\n popen_obj = context.get_spawning_popen()\n if popen_obj is not None:\n return popen_obj.DupFd(popen_obj.duplicate_for_child(fd))\n elif HAVE_SEND_HANDLE:\n from . import resource_sharer\n return resource_sharer.DupFd(fd)\n else:\n raise ValueError('SCM_RIGHTS appears not to be available')\n\n#\n# Try making some callable types picklable\n#\n\ndef _reduce_method(m):\n if m.__self__ is None:\n return getattr, (m.__class__, m.__func__.__name__)\n else:\n return getattr, (m.__self__, m.__func__.__name__)\nclass _C:\n def f(self):\n pass\nregister(type(_C().f), _reduce_method)\n\n\ndef _reduce_method_descriptor(m):\n return getattr, (m.__objclass__, m.__name__)\nregister(type(list.append), _reduce_method_descriptor)\nregister(type(int.__add__), _reduce_method_descriptor)\n\n\ndef _reduce_partial(p):\n return _rebuild_partial, (p.func, p.args, p.keywords or {})\ndef _rebuild_partial(func, args, keywords):\n return functools.partial(func, *args, **keywords)\nregister(functools.partial, _reduce_partial)\n\n#\n# Make sockets picklable\n#\n\nif sys.platform == 'win32':\n def _reduce_socket(s):\n from .resource_sharer import DupSocket\n return _rebuild_socket, (DupSocket(s),)\n def _rebuild_socket(ds):\n return ds.detach()\n register(socket.socket, _reduce_socket)\n\nelse:\n def _reduce_socket(s):\n df = DupFd(s.fileno())\n return _rebuild_socket, (df, s.family, s.type, s.proto)\n def _rebuild_socket(df, family, type, proto):\n fd = df.detach()\n return socket.socket(family, type, proto, fileno=fd)\n register(socket.socket, _reduce_socket)\n\n\nclass AbstractReducer(metaclass=ABCMeta):\n '''Abstract base class for use in implementing a Reduction class\n suitable for use in replacing the standard reduction mechanism\n used in multiprocessing.'''\n ForkingPickler = ForkingPickler\n register = register\n dump = dump\n send_handle = send_handle\n recv_handle = recv_handle\n\n if sys.platform == 'win32':\n steal_handle = steal_handle\n duplicate = duplicate\n DupHandle = DupHandle\n else:\n sendfds = sendfds\n recvfds = recvfds\n DupFd = DupFd\n\n _reduce_method = _reduce_method\n _reduce_method_descriptor = _reduce_method_descriptor\n _rebuild_partial = _rebuild_partial\n _reduce_socket = _reduce_socket\n _rebuild_socket = _rebuild_socket\n\n def __init__(self, *args):\n register(type(_C().f), _reduce_method)\n register(type(list.append), _reduce_method_descriptor)\n register(type(int.__add__), _reduce_method_descriptor)\n register(functools.partial, _reduce_partial)\n register(socket.socket, _reduce_socket)\n", 281], "/usr/lib/python3.12/multiprocessing/pool.py": ["#\n# Module providing the `Pool` class for managing a process pool\n#\n# multiprocessing/pool.py\n#\n# Copyright (c) 2006-2008, R Oudkerk\n# Licensed to PSF under a Contributor Agreement.\n#\n\n__all__ = ['Pool', 'ThreadPool']\n\n#\n# Imports\n#\n\nimport collections\nimport itertools\nimport os\nimport queue\nimport threading\nimport time\nimport traceback\nimport types\nimport warnings\n\n# If threading is available then ThreadPool should be provided. Therefore\n# we avoid top-level imports which are liable to fail on some systems.\nfrom . import util\nfrom . import get_context, TimeoutError\nfrom .connection import wait\n\n#\n# Constants representing the state of a pool\n#\n\nINIT = \"INIT\"\nRUN = \"RUN\"\nCLOSE = \"CLOSE\"\nTERMINATE = \"TERMINATE\"\n\n#\n# Miscellaneous\n#\n\njob_counter = itertools.count()\n\ndef mapstar(args):\n return list(map(*args))\n\ndef starmapstar(args):\n return list(itertools.starmap(args[0], args[1]))\n\n#\n# Hack to embed stringification of remote traceback in local traceback\n#\n\nclass RemoteTraceback(Exception):\n def __init__(self, tb):\n self.tb = tb\n def __str__(self):\n return self.tb\n\nclass ExceptionWithTraceback:\n def __init__(self, exc, tb):\n tb = traceback.format_exception(type(exc), exc, tb)\n tb = ''.join(tb)\n self.exc = exc\n self.tb = '\\n\"\"\"\\n%s\"\"\"' % tb\n def __reduce__(self):\n return rebuild_exc, (self.exc, self.tb)\n\ndef rebuild_exc(exc, tb):\n exc.__cause__ = RemoteTraceback(tb)\n return exc\n\n#\n# Code run by worker processes\n#\n\nclass MaybeEncodingError(Exception):\n \"\"\"Wraps possible unpickleable errors, so they can be\n safely sent through the socket.\"\"\"\n\n def __init__(self, exc, value):\n self.exc = repr(exc)\n self.value = repr(value)\n super(MaybeEncodingError, self).__init__(self.exc, self.value)\n\n def __str__(self):\n return \"Error sending result: '%s'. Reason: '%s'\" % (self.value,\n self.exc)\n\n def __repr__(self):\n return \"<%s: %s>\" % (self.__class__.__name__, self)\n\n\ndef worker(inqueue, outqueue, initializer=None, initargs=(), maxtasks=None,\n wrap_exception=False):\n if (maxtasks is not None) and not (isinstance(maxtasks, int)\n and maxtasks >= 1):\n raise AssertionError(\"Maxtasks {!r} is not valid\".format(maxtasks))\n put = outqueue.put\n get = inqueue.get\n if hasattr(inqueue, '_writer'):\n inqueue._writer.close()\n outqueue._reader.close()\n\n if initializer is not None:\n initializer(*initargs)\n\n completed = 0\n while maxtasks is None or (maxtasks and completed < maxtasks):\n try:\n task = get()\n except (EOFError, OSError):\n util.debug('worker got EOFError or OSError -- exiting')\n break\n\n if task is None:\n util.debug('worker got sentinel -- exiting')\n break\n\n job, i, func, args, kwds = task\n try:\n result = (True, func(*args, **kwds))\n except Exception as e:\n if wrap_exception and func is not _helper_reraises_exception:\n e = ExceptionWithTraceback(e, e.__traceback__)\n result = (False, e)\n try:\n put((job, i, result))\n except Exception as e:\n wrapped = MaybeEncodingError(e, result[1])\n util.debug(\"Possible encoding error while sending result: %s\" % (\n wrapped))\n put((job, i, (False, wrapped)))\n\n task = job = result = func = args = kwds = None\n completed += 1\n util.debug('worker exiting after %d tasks' % completed)\n\ndef _helper_reraises_exception(ex):\n 'Pickle-able helper function for use by _guarded_task_generation.'\n raise ex\n\n#\n# Class representing a process pool\n#\n\nclass _PoolCache(dict):\n \"\"\"\n Class that implements a cache for the Pool class that will notify\n the pool management threads every time the cache is emptied. The\n notification is done by the use of a queue that is provided when\n instantiating the cache.\n \"\"\"\n def __init__(self, /, *args, notifier=None, **kwds):\n self.notifier = notifier\n super().__init__(*args, **kwds)\n\n def __delitem__(self, item):\n super().__delitem__(item)\n\n # Notify that the cache is empty. This is important because the\n # pool keeps maintaining workers until the cache gets drained. This\n # eliminates a race condition in which a task is finished after the\n # the pool's _handle_workers method has enter another iteration of the\n # loop. In this situation, the only event that can wake up the pool\n # is the cache to be emptied (no more tasks available).\n if not self:\n self.notifier.put(None)\n\nclass Pool(object):\n '''\n Class which supports an async version of applying functions to arguments.\n '''\n _wrap_exception = True\n\n @staticmethod\n def Process(ctx, *args, **kwds):\n return ctx.Process(*args, **kwds)\n\n def __init__(self, processes=None, initializer=None, initargs=(),\n maxtasksperchild=None, context=None):\n # Attributes initialized early to make sure that they exist in\n # __del__() if __init__() raises an exception\n self._pool = []\n self._state = INIT\n\n self._ctx = context or get_context()\n self._setup_queues()\n self._taskqueue = queue.SimpleQueue()\n # The _change_notifier queue exist to wake up self._handle_workers()\n # when the cache (self._cache) is empty or when there is a change in\n # the _state variable of the thread that runs _handle_workers.\n self._change_notifier = self._ctx.SimpleQueue()\n self._cache = _PoolCache(notifier=self._change_notifier)\n self._maxtasksperchild = maxtasksperchild\n self._initializer = initializer\n self._initargs = initargs\n\n if processes is None:\n processes = os.cpu_count() or 1\n if processes < 1:\n raise ValueError(\"Number of processes must be at least 1\")\n if maxtasksperchild is not None:\n if not isinstance(maxtasksperchild, int) or maxtasksperchild <= 0:\n raise ValueError(\"maxtasksperchild must be a positive int or None\")\n\n if initializer is not None and not callable(initializer):\n raise TypeError('initializer must be a callable')\n\n self._processes = processes\n try:\n self._repopulate_pool()\n except Exception:\n for p in self._pool:\n if p.exitcode is None:\n p.terminate()\n for p in self._pool:\n p.join()\n raise\n\n sentinels = self._get_sentinels()\n\n self._worker_handler = threading.Thread(\n target=Pool._handle_workers,\n args=(self._cache, self._taskqueue, self._ctx, self.Process,\n self._processes, self._pool, self._inqueue, self._outqueue,\n self._initializer, self._initargs, self._maxtasksperchild,\n self._wrap_exception, sentinels, self._change_notifier)\n )\n self._worker_handler.daemon = True\n self._worker_handler._state = RUN\n self._worker_handler.start()\n\n\n self._task_handler = threading.Thread(\n target=Pool._handle_tasks,\n args=(self._taskqueue, self._quick_put, self._outqueue,\n self._pool, self._cache)\n )\n self._task_handler.daemon = True\n self._task_handler._state = RUN\n self._task_handler.start()\n\n self._result_handler = threading.Thread(\n target=Pool._handle_results,\n args=(self._outqueue, self._quick_get, self._cache)\n )\n self._result_handler.daemon = True\n self._result_handler._state = RUN\n self._result_handler.start()\n\n self._terminate = util.Finalize(\n self, self._terminate_pool,\n args=(self._taskqueue, self._inqueue, self._outqueue, self._pool,\n self._change_notifier, self._worker_handler, self._task_handler,\n self._result_handler, self._cache),\n exitpriority=15\n )\n self._state = RUN\n\n # Copy globals as function locals to make sure that they are available\n # during Python shutdown when the Pool is destroyed.\n def __del__(self, _warn=warnings.warn, RUN=RUN):\n if self._state == RUN:\n _warn(f\"unclosed running multiprocessing pool {self!r}\",\n ResourceWarning, source=self)\n if getattr(self, '_change_notifier', None) is not None:\n self._change_notifier.put(None)\n\n def __repr__(self):\n cls = self.__class__\n return (f'<{cls.__module__}.{cls.__qualname__} '\n f'state={self._state} '\n f'pool_size={len(self._pool)}>')\n\n def _get_sentinels(self):\n task_queue_sentinels = [self._outqueue._reader]\n self_notifier_sentinels = [self._change_notifier._reader]\n return [*task_queue_sentinels, *self_notifier_sentinels]\n\n @staticmethod\n def _get_worker_sentinels(workers):\n return [worker.sentinel for worker in\n workers if hasattr(worker, \"sentinel\")]\n\n @staticmethod\n def _join_exited_workers(pool):\n \"\"\"Cleanup after any worker processes which have exited due to reaching\n their specified lifetime. Returns True if any workers were cleaned up.\n \"\"\"\n cleaned = False\n for i in reversed(range(len(pool))):\n worker = pool[i]\n if worker.exitcode is not None:\n # worker exited\n util.debug('cleaning up worker %d' % i)\n worker.join()\n cleaned = True\n del pool[i]\n return cleaned\n\n def _repopulate_pool(self):\n return self._repopulate_pool_static(self._ctx, self.Process,\n self._processes,\n self._pool, self._inqueue,\n self._outqueue, self._initializer,\n self._initargs,\n self._maxtasksperchild,\n self._wrap_exception)\n\n @staticmethod\n def _repopulate_pool_static(ctx, Process, processes, pool, inqueue,\n outqueue, initializer, initargs,\n maxtasksperchild, wrap_exception):\n \"\"\"Bring the number of pool processes up to the specified number,\n for use after reaping workers which have exited.\n \"\"\"\n for i in range(processes - len(pool)):\n w = Process(ctx, target=worker,\n args=(inqueue, outqueue,\n initializer,\n initargs, maxtasksperchild,\n wrap_exception))\n w.name = w.name.replace('Process', 'PoolWorker')\n w.daemon = True\n w.start()\n pool.append(w)\n util.debug('added worker')\n\n @staticmethod\n def _maintain_pool(ctx, Process, processes, pool, inqueue, outqueue,\n initializer, initargs, maxtasksperchild,\n wrap_exception):\n \"\"\"Clean up any exited workers and start replacements for them.\n \"\"\"\n if Pool._join_exited_workers(pool):\n Pool._repopulate_pool_static(ctx, Process, processes, pool,\n inqueue, outqueue, initializer,\n initargs, maxtasksperchild,\n wrap_exception)\n\n def _setup_queues(self):\n self._inqueue = self._ctx.SimpleQueue()\n self._outqueue = self._ctx.SimpleQueue()\n self._quick_put = self._inqueue._writer.send\n self._quick_get = self._outqueue._reader.recv\n\n def _check_running(self):\n if self._state != RUN:\n raise ValueError(\"Pool not running\")\n\n def apply(self, func, args=(), kwds={}):\n '''\n Equivalent of `func(*args, **kwds)`.\n Pool must be running.\n '''\n return self.apply_async(func, args, kwds).get()\n\n def map(self, func, iterable, chunksize=None):\n '''\n Apply `func` to each element in `iterable`, collecting the results\n in a list that is returned.\n '''\n return self._map_async(func, iterable, mapstar, chunksize).get()\n\n def starmap(self, func, iterable, chunksize=None):\n '''\n Like `map()` method but the elements of the `iterable` are expected to\n be iterables as well and will be unpacked as arguments. Hence\n `func` and (a, b) becomes func(a, b).\n '''\n return self._map_async(func, iterable, starmapstar, chunksize).get()\n\n def starmap_async(self, func, iterable, chunksize=None, callback=None,\n error_callback=None):\n '''\n Asynchronous version of `starmap()` method.\n '''\n return self._map_async(func, iterable, starmapstar, chunksize,\n callback, error_callback)\n\n def _guarded_task_generation(self, result_job, func, iterable):\n '''Provides a generator of tasks for imap and imap_unordered with\n appropriate handling for iterables which throw exceptions during\n iteration.'''\n try:\n i = -1\n for i, x in enumerate(iterable):\n yield (result_job, i, func, (x,), {})\n except Exception as e:\n yield (result_job, i+1, _helper_reraises_exception, (e,), {})\n\n def imap(self, func, iterable, chunksize=1):\n '''\n Equivalent of `map()` -- can be MUCH slower than `Pool.map()`.\n '''\n self._check_running()\n if chunksize == 1:\n result = IMapIterator(self)\n self._taskqueue.put(\n (\n self._guarded_task_generation(result._job, func, iterable),\n result._set_length\n ))\n return result\n else:\n if chunksize < 1:\n raise ValueError(\n \"Chunksize must be 1+, not {0:n}\".format(\n chunksize))\n task_batches = Pool._get_tasks(func, iterable, chunksize)\n result = IMapIterator(self)\n self._taskqueue.put(\n (\n self._guarded_task_generation(result._job,\n mapstar,\n task_batches),\n result._set_length\n ))\n return (item for chunk in result for item in chunk)\n\n def imap_unordered(self, func, iterable, chunksize=1):\n '''\n Like `imap()` method but ordering of results is arbitrary.\n '''\n self._check_running()\n if chunksize == 1:\n result = IMapUnorderedIterator(self)\n self._taskqueue.put(\n (\n self._guarded_task_generation(result._job, func, iterable),\n result._set_length\n ))\n return result\n else:\n if chunksize < 1:\n raise ValueError(\n \"Chunksize must be 1+, not {0!r}\".format(chunksize))\n task_batches = Pool._get_tasks(func, iterable, chunksize)\n result = IMapUnorderedIterator(self)\n self._taskqueue.put(\n (\n self._guarded_task_generation(result._job,\n mapstar,\n task_batches),\n result._set_length\n ))\n return (item for chunk in result for item in chunk)\n\n def apply_async(self, func, args=(), kwds={}, callback=None,\n error_callback=None):\n '''\n Asynchronous version of `apply()` method.\n '''\n self._check_running()\n result = ApplyResult(self, callback, error_callback)\n self._taskqueue.put(([(result._job, 0, func, args, kwds)], None))\n return result\n\n def map_async(self, func, iterable, chunksize=None, callback=None,\n error_callback=None):\n '''\n Asynchronous version of `map()` method.\n '''\n return self._map_async(func, iterable, mapstar, chunksize, callback,\n error_callback)\n\n def _map_async(self, func, iterable, mapper, chunksize=None, callback=None,\n error_callback=None):\n '''\n Helper function to implement map, starmap and their async counterparts.\n '''\n self._check_running()\n if not hasattr(iterable, '__len__'):\n iterable = list(iterable)\n\n if chunksize is None:\n chunksize, extra = divmod(len(iterable), len(self._pool) * 4)\n if extra:\n chunksize += 1\n if len(iterable) == 0:\n chunksize = 0\n\n task_batches = Pool._get_tasks(func, iterable, chunksize)\n result = MapResult(self, chunksize, len(iterable), callback,\n error_callback=error_callback)\n self._taskqueue.put(\n (\n self._guarded_task_generation(result._job,\n mapper,\n task_batches),\n None\n )\n )\n return result\n\n @staticmethod\n def _wait_for_updates(sentinels, change_notifier, timeout=None):\n wait(sentinels, timeout=timeout)\n while not change_notifier.empty():\n change_notifier.get()\n\n @classmethod\n def _handle_workers(cls, cache, taskqueue, ctx, Process, processes,\n pool, inqueue, outqueue, initializer, initargs,\n maxtasksperchild, wrap_exception, sentinels,\n change_notifier):\n thread = threading.current_thread()\n\n # Keep maintaining workers until the cache gets drained, unless the pool\n # is terminated.\n while thread._state == RUN or (cache and thread._state != TERMINATE):\n cls._maintain_pool(ctx, Process, processes, pool, inqueue,\n outqueue, initializer, initargs,\n maxtasksperchild, wrap_exception)\n\n current_sentinels = [*cls._get_worker_sentinels(pool), *sentinels]\n\n cls._wait_for_updates(current_sentinels, change_notifier)\n # send sentinel to stop workers\n taskqueue.put(None)\n util.debug('worker handler exiting')\n\n @staticmethod\n def _handle_tasks(taskqueue, put, outqueue, pool, cache):\n thread = threading.current_thread()\n\n for taskseq, set_length in iter(taskqueue.get, None):\n task = None\n try:\n # iterating taskseq cannot fail\n for task in taskseq:\n if thread._state != RUN:\n util.debug('task handler found thread._state != RUN')\n break\n try:\n put(task)\n except Exception as e:\n job, idx = task[:2]\n try:\n cache[job]._set(idx, (False, e))\n except KeyError:\n pass\n else:\n if set_length:\n util.debug('doing set_length()')\n idx = task[1] if task else -1\n set_length(idx + 1)\n continue\n break\n finally:\n task = taskseq = job = None\n else:\n util.debug('task handler got sentinel')\n\n try:\n # tell result handler to finish when cache is empty\n util.debug('task handler sending sentinel to result handler')\n outqueue.put(None)\n\n # tell workers there is no more work\n util.debug('task handler sending sentinel to workers')\n for p in pool:\n put(None)\n except OSError:\n util.debug('task handler got OSError when sending sentinels')\n\n util.debug('task handler exiting')\n\n @staticmethod\n def _handle_results(outqueue, get, cache):\n thread = threading.current_thread()\n\n while 1:\n try:\n task = get()\n except (OSError, EOFError):\n util.debug('result handler got EOFError/OSError -- exiting')\n return\n\n if thread._state != RUN:\n assert thread._state == TERMINATE, \"Thread not in TERMINATE\"\n util.debug('result handler found thread._state=TERMINATE')\n break\n\n if task is None:\n util.debug('result handler got sentinel')\n break\n\n job, i, obj = task\n try:\n cache[job]._set(i, obj)\n except KeyError:\n pass\n task = job = obj = None\n\n while cache and thread._state != TERMINATE:\n try:\n task = get()\n except (OSError, EOFError):\n util.debug('result handler got EOFError/OSError -- exiting')\n return\n\n if task is None:\n util.debug('result handler ignoring extra sentinel')\n continue\n job, i, obj = task\n try:\n cache[job]._set(i, obj)\n except KeyError:\n pass\n task = job = obj = None\n\n if hasattr(outqueue, '_reader'):\n util.debug('ensuring that outqueue is not full')\n # If we don't make room available in outqueue then\n # attempts to add the sentinel (None) to outqueue may\n # block. There is guaranteed to be no more than 2 sentinels.\n try:\n for i in range(10):\n if not outqueue._reader.poll():\n break\n get()\n except (OSError, EOFError):\n pass\n\n util.debug('result handler exiting: len(cache)=%s, thread._state=%s',\n len(cache), thread._state)\n\n @staticmethod\n def _get_tasks(func, it, size):\n it = iter(it)\n while 1:\n x = tuple(itertools.islice(it, size))\n if not x:\n return\n yield (func, x)\n\n def __reduce__(self):\n raise NotImplementedError(\n 'pool objects cannot be passed between processes or pickled'\n )\n\n def close(self):\n util.debug('closing pool')\n if self._state == RUN:\n self._state = CLOSE\n self._worker_handler._state = CLOSE\n self._change_notifier.put(None)\n\n def terminate(self):\n util.debug('terminating pool')\n self._state = TERMINATE\n self._terminate()\n\n def join(self):\n util.debug('joining pool')\n if self._state == RUN:\n raise ValueError(\"Pool is still running\")\n elif self._state not in (CLOSE, TERMINATE):\n raise ValueError(\"In unknown state\")\n self._worker_handler.join()\n self._task_handler.join()\n self._result_handler.join()\n for p in self._pool:\n p.join()\n\n @staticmethod\n def _help_stuff_finish(inqueue, task_handler, size):\n # task_handler may be blocked trying to put items on inqueue\n util.debug('removing tasks from inqueue until task handler finished')\n inqueue._rlock.acquire()\n while task_handler.is_alive() and inqueue._reader.poll():\n inqueue._reader.recv()\n time.sleep(0)\n\n @classmethod\n def _terminate_pool(cls, taskqueue, inqueue, outqueue, pool, change_notifier,\n worker_handler, task_handler, result_handler, cache):\n # this is guaranteed to only be called once\n util.debug('finalizing pool')\n\n # Notify that the worker_handler state has been changed so the\n # _handle_workers loop can be unblocked (and exited) in order to\n # send the finalization sentinel all the workers.\n worker_handler._state = TERMINATE\n change_notifier.put(None)\n\n task_handler._state = TERMINATE\n\n util.debug('helping task handler/workers to finish')\n cls._help_stuff_finish(inqueue, task_handler, len(pool))\n\n if (not result_handler.is_alive()) and (len(cache) != 0):\n raise AssertionError(\n \"Cannot have cache with result_handler not alive\")\n\n result_handler._state = TERMINATE\n change_notifier.put(None)\n outqueue.put(None) # sentinel\n\n # We must wait for the worker handler to exit before terminating\n # workers because we don't want workers to be restarted behind our back.\n util.debug('joining worker handler')\n if threading.current_thread() is not worker_handler:\n worker_handler.join()\n\n # Terminate workers which haven't already finished.\n if pool and hasattr(pool[0], 'terminate'):\n util.debug('terminating workers')\n for p in pool:\n if p.exitcode is None:\n p.terminate()\n\n util.debug('joining task handler')\n if threading.current_thread() is not task_handler:\n task_handler.join()\n\n util.debug('joining result handler')\n if threading.current_thread() is not result_handler:\n result_handler.join()\n\n if pool and hasattr(pool[0], 'terminate'):\n util.debug('joining pool workers')\n for p in pool:\n if p.is_alive():\n # worker has not yet exited\n util.debug('cleaning up worker %d' % p.pid)\n p.join()\n\n def __enter__(self):\n self._check_running()\n return self\n\n def __exit__(self, exc_type, exc_val, exc_tb):\n self.terminate()\n\n#\n# Class whose instances are returned by `Pool.apply_async()`\n#\n\nclass ApplyResult(object):\n\n def __init__(self, pool, callback, error_callback):\n self._pool = pool\n self._event = threading.Event()\n self._job = next(job_counter)\n self._cache = pool._cache\n self._callback = callback\n self._error_callback = error_callback\n self._cache[self._job] = self\n\n def ready(self):\n return self._event.is_set()\n\n def successful(self):\n if not self.ready():\n raise ValueError(\"{0!r} not ready\".format(self))\n return self._success\n\n def wait(self, timeout=None):\n self._event.wait(timeout)\n\n def get(self, timeout=None):\n self.wait(timeout)\n if not self.ready():\n raise TimeoutError\n if self._success:\n return self._value\n else:\n raise self._value\n\n def _set(self, i, obj):\n self._success, self._value = obj\n if self._callback and self._success:\n self._callback(self._value)\n if self._error_callback and not self._success:\n self._error_callback(self._value)\n self._event.set()\n del self._cache[self._job]\n self._pool = None\n\n __class_getitem__ = classmethod(types.GenericAlias)\n\nAsyncResult = ApplyResult # create alias -- see #17805\n\n#\n# Class whose instances are returned by `Pool.map_async()`\n#\n\nclass MapResult(ApplyResult):\n\n def __init__(self, pool, chunksize, length, callback, error_callback):\n ApplyResult.__init__(self, pool, callback,\n error_callback=error_callback)\n self._success = True\n self._value = [None] * length\n self._chunksize = chunksize\n if chunksize <= 0:\n self._number_left = 0\n self._event.set()\n del self._cache[self._job]\n else:\n self._number_left = length//chunksize + bool(length % chunksize)\n\n def _set(self, i, success_result):\n self._number_left -= 1\n success, result = success_result\n if success and self._success:\n self._value[i*self._chunksize:(i+1)*self._chunksize] = result\n if self._number_left == 0:\n if self._callback:\n self._callback(self._value)\n del self._cache[self._job]\n self._event.set()\n self._pool = None\n else:\n if not success and self._success:\n # only store first exception\n self._success = False\n self._value = result\n if self._number_left == 0:\n # only consider the result ready once all jobs are done\n if self._error_callback:\n self._error_callback(self._value)\n del self._cache[self._job]\n self._event.set()\n self._pool = None\n\n#\n# Class whose instances are returned by `Pool.imap()`\n#\n\nclass IMapIterator(object):\n\n def __init__(self, pool):\n self._pool = pool\n self._cond = threading.Condition(threading.Lock())\n self._job = next(job_counter)\n self._cache = pool._cache\n self._items = collections.deque()\n self._index = 0\n self._length = None\n self._unsorted = {}\n self._cache[self._job] = self\n\n def __iter__(self):\n return self\n\n def next(self, timeout=None):\n with self._cond:\n try:\n item = self._items.popleft()\n except IndexError:\n if self._index == self._length:\n self._pool = None\n raise StopIteration from None\n self._cond.wait(timeout)\n try:\n item = self._items.popleft()\n except IndexError:\n if self._index == self._length:\n self._pool = None\n raise StopIteration from None\n raise TimeoutError from None\n\n success, value = item\n if success:\n return value\n raise value\n\n __next__ = next # XXX\n\n def _set(self, i, obj):\n with self._cond:\n if self._index == i:\n self._items.append(obj)\n self._index += 1\n while self._index in self._unsorted:\n obj = self._unsorted.pop(self._index)\n self._items.append(obj)\n self._index += 1\n self._cond.notify()\n else:\n self._unsorted[i] = obj\n\n if self._index == self._length:\n del self._cache[self._job]\n self._pool = None\n\n def _set_length(self, length):\n with self._cond:\n self._length = length\n if self._index == self._length:\n self._cond.notify()\n del self._cache[self._job]\n self._pool = None\n\n#\n# Class whose instances are returned by `Pool.imap_unordered()`\n#\n\nclass IMapUnorderedIterator(IMapIterator):\n\n def _set(self, i, obj):\n with self._cond:\n self._items.append(obj)\n self._index += 1\n self._cond.notify()\n if self._index == self._length:\n del self._cache[self._job]\n self._pool = None\n\n#\n#\n#\n\nclass ThreadPool(Pool):\n _wrap_exception = False\n\n @staticmethod\n def Process(ctx, *args, **kwds):\n from .dummy import Process\n return Process(*args, **kwds)\n\n def __init__(self, processes=None, initializer=None, initargs=()):\n Pool.__init__(self, processes, initializer, initargs)\n\n def _setup_queues(self):\n self._inqueue = queue.SimpleQueue()\n self._outqueue = queue.SimpleQueue()\n self._quick_put = self._inqueue.put\n self._quick_get = self._outqueue.get\n\n def _get_sentinels(self):\n return [self._change_notifier._reader]\n\n @staticmethod\n def _get_worker_sentinels(workers):\n return []\n\n @staticmethod\n def _help_stuff_finish(inqueue, task_handler, size):\n # drain inqueue, and put sentinels at its head to make workers finish\n try:\n while True:\n inqueue.get(block=False)\n except queue.Empty:\n pass\n for i in range(size):\n inqueue.put(None)\n\n def _wait_for_updates(self, sentinels, change_notifier, timeout):\n time.sleep(timeout)\n", 957], "/usr/lib/python3.12/multiprocessing/process.py": ["#\n# Module providing the `Process` class which emulates `threading.Thread`\n#\n# multiprocessing/process.py\n#\n# Copyright (c) 2006-2008, R Oudkerk\n# Licensed to PSF under a Contributor Agreement.\n#\n\n__all__ = ['BaseProcess', 'current_process', 'active_children',\n 'parent_process']\n\n#\n# Imports\n#\n\nimport os\nimport sys\nimport signal\nimport itertools\nimport threading\nfrom _weakrefset import WeakSet\n\n#\n#\n#\n\ntry:\n ORIGINAL_DIR = os.path.abspath(os.getcwd())\nexcept OSError:\n ORIGINAL_DIR = None\n\n#\n# Public functions\n#\n\ndef current_process():\n '''\n Return process object representing the current process\n '''\n return _current_process\n\ndef active_children():\n '''\n Return list of process objects corresponding to live child processes\n '''\n _cleanup()\n return list(_children)\n\n\ndef parent_process():\n '''\n Return process object representing the parent process\n '''\n return _parent_process\n\n#\n#\n#\n\ndef _cleanup():\n # check for processes which have finished\n for p in list(_children):\n if (child_popen := p._popen) and child_popen.poll() is not None:\n _children.discard(p)\n\n#\n# The `Process` class\n#\n\nclass BaseProcess(object):\n '''\n Process objects represent activity that is run in a separate process\n\n The class is analogous to `threading.Thread`\n '''\n def _Popen(self):\n raise NotImplementedError\n\n def __init__(self, group=None, target=None, name=None, args=(), kwargs={},\n *, daemon=None):\n assert group is None, 'group argument must be None for now'\n count = next(_process_counter)\n self._identity = _current_process._identity + (count,)\n self._config = _current_process._config.copy()\n self._parent_pid = os.getpid()\n self._parent_name = _current_process.name\n self._popen = None\n self._closed = False\n self._target = target\n self._args = tuple(args)\n self._kwargs = dict(kwargs)\n self._name = name or type(self).__name__ + '-' + \\\n ':'.join(str(i) for i in self._identity)\n if daemon is not None:\n self.daemon = daemon\n _dangling.add(self)\n\n def _check_closed(self):\n if self._closed:\n raise ValueError(\"process object is closed\")\n\n def run(self):\n '''\n Method to be run in sub-process; can be overridden in sub-class\n '''\n if self._target:\n self._target(*self._args, **self._kwargs)\n\n def start(self):\n '''\n Start child process\n '''\n self._check_closed()\n assert self._popen is None, 'cannot start a process twice'\n assert self._parent_pid == os.getpid(), \\\n 'can only start a process object created by current process'\n assert not _current_process._config.get('daemon'), \\\n 'daemonic processes are not allowed to have children'\n _cleanup()\n self._popen = self._Popen(self)\n self._sentinel = self._popen.sentinel\n # Avoid a refcycle if the target function holds an indirect\n # reference to the process object (see bpo-30775)\n del self._target, self._args, self._kwargs\n _children.add(self)\n\n def terminate(self):\n '''\n Terminate process; sends SIGTERM signal or uses TerminateProcess()\n '''\n self._check_closed()\n self._popen.terminate()\n\n def kill(self):\n '''\n Terminate process; sends SIGKILL signal or uses TerminateProcess()\n '''\n self._check_closed()\n self._popen.kill()\n\n def join(self, timeout=None):\n '''\n Wait until child process terminates\n '''\n self._check_closed()\n assert self._parent_pid == os.getpid(), 'can only join a child process'\n assert self._popen is not None, 'can only join a started process'\n res = self._popen.wait(timeout)\n if res is not None:\n _children.discard(self)\n\n def is_alive(self):\n '''\n Return whether process is alive\n '''\n self._check_closed()\n if self is _current_process:\n return True\n assert self._parent_pid == os.getpid(), 'can only test a child process'\n\n if self._popen is None:\n return False\n\n returncode = self._popen.poll()\n if returncode is None:\n return True\n else:\n _children.discard(self)\n return False\n\n def close(self):\n '''\n Close the Process object.\n\n This method releases resources held by the Process object. It is\n an error to call this method if the child process is still running.\n '''\n if self._popen is not None:\n if self._popen.poll() is None:\n raise ValueError(\"Cannot close a process while it is still running. \"\n \"You should first call join() or terminate().\")\n self._popen.close()\n self._popen = None\n del self._sentinel\n _children.discard(self)\n self._closed = True\n\n @property\n def name(self):\n return self._name\n\n @name.setter\n def name(self, name):\n assert isinstance(name, str), 'name must be a string'\n self._name = name\n\n @property\n def daemon(self):\n '''\n Return whether process is a daemon\n '''\n return self._config.get('daemon', False)\n\n @daemon.setter\n def daemon(self, daemonic):\n '''\n Set whether process is a daemon\n '''\n assert self._popen is None, 'process has already started'\n self._config['daemon'] = daemonic\n\n @property\n def authkey(self):\n return self._config['authkey']\n\n @authkey.setter\n def authkey(self, authkey):\n '''\n Set authorization key of process\n '''\n self._config['authkey'] = AuthenticationString(authkey)\n\n @property\n def exitcode(self):\n '''\n Return exit code of process or `None` if it has yet to stop\n '''\n self._check_closed()\n if self._popen is None:\n return self._popen\n return self._popen.poll()\n\n @property\n def ident(self):\n '''\n Return identifier (PID) of process or `None` if it has yet to start\n '''\n self._check_closed()\n if self is _current_process:\n return os.getpid()\n else:\n return self._popen and self._popen.pid\n\n pid = ident\n\n @property\n def sentinel(self):\n '''\n Return a file descriptor (Unix) or handle (Windows) suitable for\n waiting for process termination.\n '''\n self._check_closed()\n try:\n return self._sentinel\n except AttributeError:\n raise ValueError(\"process not started\") from None\n\n def __repr__(self):\n exitcode = None\n if self is _current_process:\n status = 'started'\n elif self._closed:\n status = 'closed'\n elif self._parent_pid != os.getpid():\n status = 'unknown'\n elif self._popen is None:\n status = 'initial'\n else:\n exitcode = self._popen.poll()\n if exitcode is not None:\n status = 'stopped'\n else:\n status = 'started'\n\n info = [type(self).__name__, 'name=%r' % self._name]\n if self._popen is not None:\n info.append('pid=%s' % self._popen.pid)\n info.append('parent=%s' % self._parent_pid)\n info.append(status)\n if exitcode is not None:\n exitcode = _exitcode_to_name.get(exitcode, exitcode)\n info.append('exitcode=%s' % exitcode)\n if self.daemon:\n info.append('daemon')\n return '<%s>' % ' '.join(info)\n\n ##\n\n def _bootstrap(self, parent_sentinel=None):\n from . import util, context\n global _current_process, _parent_process, _process_counter, _children\n\n try:\n if self._start_method is not None:\n context._force_start_method(self._start_method)\n _process_counter = itertools.count(1)\n _children = set()\n util._close_stdin()\n old_process = _current_process\n _current_process = self\n _parent_process = _ParentProcess(\n self._parent_name, self._parent_pid, parent_sentinel)\n if threading._HAVE_THREAD_NATIVE_ID:\n threading.main_thread()._set_native_id()\n try:\n self._after_fork()\n finally:\n # delay finalization of the old process object until after\n # _run_after_forkers() is executed\n del old_process\n util.info('child process calling self.run()')\n try:\n self.run()\n exitcode = 0\n finally:\n util._exit_function()\n except SystemExit as e:\n if e.code is None:\n exitcode = 0\n elif isinstance(e.code, int):\n exitcode = e.code\n else:\n sys.stderr.write(str(e.code) + '\\n')\n exitcode = 1\n except:\n exitcode = 1\n import traceback\n sys.stderr.write('Process %s:\\n' % self.name)\n traceback.print_exc()\n finally:\n threading._shutdown()\n util.info('process exiting with exitcode %d' % exitcode)\n util._flush_std_streams()\n\n return exitcode\n\n @staticmethod\n def _after_fork():\n from . import util\n util._finalizer_registry.clear()\n util._run_after_forkers()\n\n\n#\n# We subclass bytes to avoid accidental transmission of auth keys over network\n#\n\nclass AuthenticationString(bytes):\n def __reduce__(self):\n from .context import get_spawning_popen\n if get_spawning_popen() is None:\n raise TypeError(\n 'Pickling an AuthenticationString object is '\n 'disallowed for security reasons'\n )\n return AuthenticationString, (bytes(self),)\n\n\n#\n# Create object representing the parent process\n#\n\nclass _ParentProcess(BaseProcess):\n\n def __init__(self, name, pid, sentinel):\n self._identity = ()\n self._name = name\n self._pid = pid\n self._parent_pid = None\n self._popen = None\n self._closed = False\n self._sentinel = sentinel\n self._config = {}\n\n def is_alive(self):\n from multiprocessing.connection import wait\n return not wait([self._sentinel], timeout=0)\n\n @property\n def ident(self):\n return self._pid\n\n def join(self, timeout=None):\n '''\n Wait until parent process terminates\n '''\n from multiprocessing.connection import wait\n wait([self._sentinel], timeout=timeout)\n\n pid = ident\n\n#\n# Create object representing the main process\n#\n\nclass _MainProcess(BaseProcess):\n\n def __init__(self):\n self._identity = ()\n self._name = 'MainProcess'\n self._parent_pid = None\n self._popen = None\n self._closed = False\n self._config = {'authkey': AuthenticationString(os.urandom(32)),\n 'semprefix': '/mp'}\n # Note that some versions of FreeBSD only allow named\n # semaphores to have names of up to 14 characters. Therefore\n # we choose a short prefix.\n #\n # On MacOSX in a sandbox it may be necessary to use a\n # different prefix -- see #19478.\n #\n # Everything in self._config will be inherited by descendant\n # processes.\n\n def close(self):\n pass\n\n\n_parent_process = None\n_current_process = _MainProcess()\n_process_counter = itertools.count(1)\n_children = set()\ndel _MainProcess\n\n#\n# Give names to some return codes\n#\n\n_exitcode_to_name = {}\n\nfor name, signum in list(signal.__dict__.items()):\n if name[:3]=='SIG' and '_' not in name:\n _exitcode_to_name[-signum] = f'-{name}'\ndel name, signum\n\n# For debug and leak testing\n_dangling = WeakSet()\n", 439], "": ["\"\"\"Core implementation of import.\n\nThis module is NOT meant to be directly imported! It has been designed such\nthat it can be bootstrapped into Python as the implementation of import. As\nsuch it requires the injection of specific modules and attributes in order to\nwork. One should use importlib as the public-facing version of this module.\n\n\"\"\"\n#\n# IMPORTANT: Whenever making changes to this module, be sure to run a top-level\n# `make regen-importlib` followed by `make` in order to get the frozen version\n# of the module updated. Not doing so will result in the Makefile to fail for\n# all others who don't have a ./python around to freeze the module\n# in the early stages of compilation.\n#\n\n# See importlib._setup() for what is injected into the global namespace.\n\n# When editing this code be aware that code executed at import time CANNOT\n# reference any injected objects! This includes not only global code but also\n# anything specified at the class level.\n\ndef _object_name(obj):\n try:\n return obj.__qualname__\n except AttributeError:\n return type(obj).__qualname__\n\n# Bootstrap-related code ######################################################\n\n# Modules injected manually by _setup()\n_thread = None\n_warnings = None\n_weakref = None\n\n# Import done by _install_external_importers()\n_bootstrap_external = None\n\n\ndef _wrap(new, old):\n \"\"\"Simple substitute for functools.update_wrapper.\"\"\"\n for replace in ['__module__', '__name__', '__qualname__', '__doc__']:\n if hasattr(old, replace):\n setattr(new, replace, getattr(old, replace))\n new.__dict__.update(old.__dict__)\n\n\ndef _new_module(name):\n return type(sys)(name)\n\n\n# Module-level locking ########################################################\n\n# For a list that can have a weakref to it.\nclass _List(list):\n pass\n\n\n# Copied from weakref.py with some simplifications and modifications unique to\n# bootstrapping importlib. Many methods were simply deleting for simplicity, so if they\n# are needed in the future they may work if simply copied back in.\nclass _WeakValueDictionary:\n\n def __init__(self):\n self_weakref = _weakref.ref(self)\n\n # Inlined to avoid issues with inheriting from _weakref.ref before _weakref is\n # set by _setup(). Since there's only one instance of this class, this is\n # not expensive.\n class KeyedRef(_weakref.ref):\n\n __slots__ = \"key\",\n\n def __new__(type, ob, key):\n self = super().__new__(type, ob, type.remove)\n self.key = key\n return self\n\n def __init__(self, ob, key):\n super().__init__(ob, self.remove)\n\n @staticmethod\n def remove(wr):\n nonlocal self_weakref\n\n self = self_weakref()\n if self is not None:\n if self._iterating:\n self._pending_removals.append(wr.key)\n else:\n _weakref._remove_dead_weakref(self.data, wr.key)\n\n self._KeyedRef = KeyedRef\n self.clear()\n\n def clear(self):\n self._pending_removals = []\n self._iterating = set()\n self.data = {}\n\n def _commit_removals(self):\n pop = self._pending_removals.pop\n d = self.data\n while True:\n try:\n key = pop()\n except IndexError:\n return\n _weakref._remove_dead_weakref(d, key)\n\n def get(self, key, default=None):\n if self._pending_removals:\n self._commit_removals()\n try:\n wr = self.data[key]\n except KeyError:\n return default\n else:\n if (o := wr()) is None:\n return default\n else:\n return o\n\n def setdefault(self, key, default=None):\n try:\n o = self.data[key]()\n except KeyError:\n o = None\n if o is None:\n if self._pending_removals:\n self._commit_removals()\n self.data[key] = self._KeyedRef(default, key)\n return default\n else:\n return o\n\n\n# A dict mapping module names to weakrefs of _ModuleLock instances.\n# Dictionary protected by the global import lock.\n_module_locks = {}\n\n# A dict mapping thread IDs to weakref'ed lists of _ModuleLock instances.\n# This maps a thread to the module locks it is blocking on acquiring. The\n# values are lists because a single thread could perform a re-entrant import\n# and be \"in the process\" of blocking on locks for more than one module. A\n# thread can be \"in the process\" because a thread cannot actually block on\n# acquiring more than one lock but it can have set up bookkeeping that reflects\n# that it intends to block on acquiring more than one lock.\n#\n# The dictionary uses a WeakValueDictionary to avoid keeping unnecessary\n# lists around, regardless of GC runs. This way there's no memory leak if\n# the list is no longer needed (GH-106176).\n_blocking_on = None\n\n\nclass _BlockingOnManager:\n \"\"\"A context manager responsible to updating ``_blocking_on``.\"\"\"\n def __init__(self, thread_id, lock):\n self.thread_id = thread_id\n self.lock = lock\n\n def __enter__(self):\n \"\"\"Mark the running thread as waiting for self.lock. via _blocking_on.\"\"\"\n # Interactions with _blocking_on are *not* protected by the global\n # import lock here because each thread only touches the state that it\n # owns (state keyed on its thread id). The global import lock is\n # re-entrant (i.e., a single thread may take it more than once) so it\n # wouldn't help us be correct in the face of re-entrancy either.\n\n self.blocked_on = _blocking_on.setdefault(self.thread_id, _List())\n self.blocked_on.append(self.lock)\n\n def __exit__(self, *args, **kwargs):\n \"\"\"Remove self.lock from this thread's _blocking_on list.\"\"\"\n self.blocked_on.remove(self.lock)\n\n\nclass _DeadlockError(RuntimeError):\n pass\n\n\n\ndef _has_deadlocked(target_id, *, seen_ids, candidate_ids, blocking_on):\n \"\"\"Check if 'target_id' is holding the same lock as another thread(s).\n\n The search within 'blocking_on' starts with the threads listed in\n 'candidate_ids'. 'seen_ids' contains any threads that are considered\n already traversed in the search.\n\n Keyword arguments:\n target_id -- The thread id to try to reach.\n seen_ids -- A set of threads that have already been visited.\n candidate_ids -- The thread ids from which to begin.\n blocking_on -- A dict representing the thread/blocking-on graph. This may\n be the same object as the global '_blocking_on' but it is\n a parameter to reduce the impact that global mutable\n state has on the result of this function.\n \"\"\"\n if target_id in candidate_ids:\n # If we have already reached the target_id, we're done - signal that it\n # is reachable.\n return True\n\n # Otherwise, try to reach the target_id from each of the given candidate_ids.\n for tid in candidate_ids:\n if not (candidate_blocking_on := blocking_on.get(tid)):\n # There are no edges out from this node, skip it.\n continue\n elif tid in seen_ids:\n # bpo 38091: the chain of tid's we encounter here eventually leads\n # to a fixed point or a cycle, but does not reach target_id.\n # This means we would not actually deadlock. This can happen if\n # other threads are at the beginning of acquire() below.\n return False\n seen_ids.add(tid)\n\n # Follow the edges out from this thread.\n edges = [lock.owner for lock in candidate_blocking_on]\n if _has_deadlocked(target_id, seen_ids=seen_ids, candidate_ids=edges,\n blocking_on=blocking_on):\n return True\n\n return False\n\n\nclass _ModuleLock:\n \"\"\"A recursive lock implementation which is able to detect deadlocks\n (e.g. thread 1 trying to take locks A then B, and thread 2 trying to\n take locks B then A).\n \"\"\"\n\n def __init__(self, name):\n # Create an RLock for protecting the import process for the\n # corresponding module. Since it is an RLock, a single thread will be\n # able to take it more than once. This is necessary to support\n # re-entrancy in the import system that arises from (at least) signal\n # handlers and the garbage collector. Consider the case of:\n #\n # import foo\n # -> ...\n # -> importlib._bootstrap._ModuleLock.acquire\n # -> ...\n # -> \n # -> __del__\n # -> import foo\n # -> ...\n # -> importlib._bootstrap._ModuleLock.acquire\n # -> _BlockingOnManager.__enter__\n #\n # If a different thread than the running one holds the lock then the\n # thread will have to block on taking the lock, which is what we want\n # for thread safety.\n self.lock = _thread.RLock()\n self.wakeup = _thread.allocate_lock()\n\n # The name of the module for which this is a lock.\n self.name = name\n\n # Can end up being set to None if this lock is not owned by any thread\n # or the thread identifier for the owning thread.\n self.owner = None\n\n # Represent the number of times the owning thread has acquired this lock\n # via a list of True. This supports RLock-like (\"re-entrant lock\")\n # behavior, necessary in case a single thread is following a circular\n # import dependency and needs to take the lock for a single module\n # more than once.\n #\n # Counts are represented as a list of True because list.append(True)\n # and list.pop() are both atomic and thread-safe in CPython and it's hard\n # to find another primitive with the same properties.\n self.count = []\n\n # This is a count of the number of threads that are blocking on\n # self.wakeup.acquire() awaiting to get their turn holding this module\n # lock. When the module lock is released, if this is greater than\n # zero, it is decremented and `self.wakeup` is released one time. The\n # intent is that this will let one other thread make more progress on\n # acquiring this module lock. This repeats until all the threads have\n # gotten a turn.\n #\n # This is incremented in self.acquire() when a thread notices it is\n # going to have to wait for another thread to finish.\n #\n # See the comment above count for explanation of the representation.\n self.waiters = []\n\n def has_deadlock(self):\n # To avoid deadlocks for concurrent or re-entrant circular imports,\n # look at _blocking_on to see if any threads are blocking\n # on getting the import lock for any module for which the import lock\n # is held by this thread.\n return _has_deadlocked(\n # Try to find this thread.\n target_id=_thread.get_ident(),\n seen_ids=set(),\n # Start from the thread that holds the import lock for this\n # module.\n candidate_ids=[self.owner],\n # Use the global \"blocking on\" state.\n blocking_on=_blocking_on,\n )\n\n def acquire(self):\n \"\"\"\n Acquire the module lock. If a potential deadlock is detected,\n a _DeadlockError is raised.\n Otherwise, the lock is always acquired and True is returned.\n \"\"\"\n tid = _thread.get_ident()\n with _BlockingOnManager(tid, self):\n while True:\n # Protect interaction with state on self with a per-module\n # lock. This makes it safe for more than one thread to try to\n # acquire the lock for a single module at the same time.\n with self.lock:\n if self.count == [] or self.owner == tid:\n # If the lock for this module is unowned then we can\n # take the lock immediately and succeed. If the lock\n # for this module is owned by the running thread then\n # we can also allow the acquire to succeed. This\n # supports circular imports (thread T imports module A\n # which imports module B which imports module A).\n self.owner = tid\n self.count.append(True)\n return True\n\n # At this point we know the lock is held (because count !=\n # 0) by another thread (because owner != tid). We'll have\n # to get in line to take the module lock.\n\n # But first, check to see if this thread would create a\n # deadlock by acquiring this module lock. If it would\n # then just stop with an error.\n #\n # It's not clear who is expected to handle this error.\n # There is one handler in _lock_unlock_module but many\n # times this method is called when entering the context\n # manager _ModuleLockManager instead - so _DeadlockError\n # will just propagate up to application code.\n #\n # This seems to be more than just a hypothetical -\n # https://stackoverflow.com/questions/59509154\n # https://github.com/encode/django-rest-framework/issues/7078\n if self.has_deadlock():\n raise _DeadlockError(f'deadlock detected by {self!r}')\n\n # Check to see if we're going to be able to acquire the\n # lock. If we are going to have to wait then increment\n # the waiters so `self.release` will know to unblock us\n # later on. We do this part non-blockingly so we don't\n # get stuck here before we increment waiters. We have\n # this extra acquire call (in addition to the one below,\n # outside the self.lock context manager) to make sure\n # self.wakeup is held when the next acquire is called (so\n # we block). This is probably needlessly complex and we\n # should just take self.wakeup in the return codepath\n # above.\n if self.wakeup.acquire(False):\n self.waiters.append(None)\n\n # Now take the lock in a blocking fashion. This won't\n # complete until the thread holding this lock\n # (self.owner) calls self.release.\n self.wakeup.acquire()\n\n # Taking the lock has served its purpose (making us wait), so we can\n # give it up now. We'll take it w/o blocking again on the\n # next iteration around this 'while' loop.\n self.wakeup.release()\n\n def release(self):\n tid = _thread.get_ident()\n with self.lock:\n if self.owner != tid:\n raise RuntimeError('cannot release un-acquired lock')\n assert len(self.count) > 0\n self.count.pop()\n if not len(self.count):\n self.owner = None\n if len(self.waiters) > 0:\n self.waiters.pop()\n self.wakeup.release()\n\n def __repr__(self):\n return f'_ModuleLock({self.name!r}) at {id(self)}'\n\n\nclass _DummyModuleLock:\n \"\"\"A simple _ModuleLock equivalent for Python builds without\n multi-threading support.\"\"\"\n\n def __init__(self, name):\n self.name = name\n self.count = 0\n\n def acquire(self):\n self.count += 1\n return True\n\n def release(self):\n if self.count == 0:\n raise RuntimeError('cannot release un-acquired lock')\n self.count -= 1\n\n def __repr__(self):\n return f'_DummyModuleLock({self.name!r}) at {id(self)}'\n\n\nclass _ModuleLockManager:\n\n def __init__(self, name):\n self._name = name\n self._lock = None\n\n def __enter__(self):\n self._lock = _get_module_lock(self._name)\n self._lock.acquire()\n\n def __exit__(self, *args, **kwargs):\n self._lock.release()\n\n\n# The following two functions are for consumption by Python/import.c.\n\ndef _get_module_lock(name):\n \"\"\"Get or create the module lock for a given module name.\n\n Acquire/release internally the global import lock to protect\n _module_locks.\"\"\"\n\n _imp.acquire_lock()\n try:\n try:\n lock = _module_locks[name]()\n except KeyError:\n lock = None\n\n if lock is None:\n if _thread is None:\n lock = _DummyModuleLock(name)\n else:\n lock = _ModuleLock(name)\n\n def cb(ref, name=name):\n _imp.acquire_lock()\n try:\n # bpo-31070: Check if another thread created a new lock\n # after the previous lock was destroyed\n # but before the weakref callback was called.\n if _module_locks.get(name) is ref:\n del _module_locks[name]\n finally:\n _imp.release_lock()\n\n _module_locks[name] = _weakref.ref(lock, cb)\n finally:\n _imp.release_lock()\n\n return lock\n\n\ndef _lock_unlock_module(name):\n \"\"\"Acquires then releases the module lock for a given module name.\n\n This is used to ensure a module is completely initialized, in the\n event it is being imported by another thread.\n \"\"\"\n lock = _get_module_lock(name)\n try:\n lock.acquire()\n except _DeadlockError:\n # Concurrent circular import, we'll accept a partially initialized\n # module object.\n pass\n else:\n lock.release()\n\n# Frame stripping magic ###############################################\ndef _call_with_frames_removed(f, *args, **kwds):\n \"\"\"remove_importlib_frames in import.c will always remove sequences\n of importlib frames that end with a call to this function\n\n Use it instead of a normal call in places where including the importlib\n frames introduces unwanted noise into the traceback (e.g. when executing\n module code)\n \"\"\"\n return f(*args, **kwds)\n\n\ndef _verbose_message(message, *args, verbosity=1):\n \"\"\"Print the message to stderr if -v/PYTHONVERBOSE is turned on.\"\"\"\n if sys.flags.verbose >= verbosity:\n if not message.startswith(('#', 'import ')):\n message = '# ' + message\n print(message.format(*args), file=sys.stderr)\n\n\ndef _requires_builtin(fxn):\n \"\"\"Decorator to verify the named module is built-in.\"\"\"\n def _requires_builtin_wrapper(self, fullname):\n if fullname not in sys.builtin_module_names:\n raise ImportError(f'{fullname!r} is not a built-in module',\n name=fullname)\n return fxn(self, fullname)\n _wrap(_requires_builtin_wrapper, fxn)\n return _requires_builtin_wrapper\n\n\ndef _requires_frozen(fxn):\n \"\"\"Decorator to verify the named module is frozen.\"\"\"\n def _requires_frozen_wrapper(self, fullname):\n if not _imp.is_frozen(fullname):\n raise ImportError(f'{fullname!r} is not a frozen module',\n name=fullname)\n return fxn(self, fullname)\n _wrap(_requires_frozen_wrapper, fxn)\n return _requires_frozen_wrapper\n\n\n# Typically used by loader classes as a method replacement.\ndef _load_module_shim(self, fullname):\n \"\"\"Load the specified module into sys.modules and return it.\n\n This method is deprecated. Use loader.exec_module() instead.\n\n \"\"\"\n msg = (\"the load_module() method is deprecated and slated for removal in \"\n \"Python 3.12; use exec_module() instead\")\n _warnings.warn(msg, DeprecationWarning)\n spec = spec_from_loader(fullname, self)\n if fullname in sys.modules:\n module = sys.modules[fullname]\n _exec(spec, module)\n return sys.modules[fullname]\n else:\n return _load(spec)\n\n# Module specifications #######################################################\n\ndef _module_repr(module):\n \"\"\"The implementation of ModuleType.__repr__().\"\"\"\n loader = getattr(module, '__loader__', None)\n if spec := getattr(module, \"__spec__\", None):\n return _module_repr_from_spec(spec)\n # Fall through to a catch-all which always succeeds.\n try:\n name = module.__name__\n except AttributeError:\n name = '?'\n try:\n filename = module.__file__\n except AttributeError:\n if loader is None:\n return f''\n else:\n return f''\n else:\n return f''\n\n\nclass ModuleSpec:\n \"\"\"The specification for a module, used for loading.\n\n A module's spec is the source for information about the module. For\n data associated with the module, including source, use the spec's\n loader.\n\n `name` is the absolute name of the module. `loader` is the loader\n to use when loading the module. `parent` is the name of the\n package the module is in. The parent is derived from the name.\n\n `is_package` determines if the module is considered a package or\n not. On modules this is reflected by the `__path__` attribute.\n\n `origin` is the specific location used by the loader from which to\n load the module, if that information is available. When filename is\n set, origin will match.\n\n `has_location` indicates that a spec's \"origin\" reflects a location.\n When this is True, `__file__` attribute of the module is set.\n\n `cached` is the location of the cached bytecode file, if any. It\n corresponds to the `__cached__` attribute.\n\n `submodule_search_locations` is the sequence of path entries to\n search when importing submodules. If set, is_package should be\n True--and False otherwise.\n\n Packages are simply modules that (may) have submodules. If a spec\n has a non-None value in `submodule_search_locations`, the import\n system will consider modules loaded from the spec as packages.\n\n Only finders (see importlib.abc.MetaPathFinder and\n importlib.abc.PathEntryFinder) should modify ModuleSpec instances.\n\n \"\"\"\n\n def __init__(self, name, loader, *, origin=None, loader_state=None,\n is_package=None):\n self.name = name\n self.loader = loader\n self.origin = origin\n self.loader_state = loader_state\n self.submodule_search_locations = [] if is_package else None\n self._uninitialized_submodules = []\n\n # file-location attributes\n self._set_fileattr = False\n self._cached = None\n\n def __repr__(self):\n args = [f'name={self.name!r}', f'loader={self.loader!r}']\n if self.origin is not None:\n args.append(f'origin={self.origin!r}')\n if self.submodule_search_locations is not None:\n args.append(f'submodule_search_locations={self.submodule_search_locations}')\n return f'{self.__class__.__name__}({\", \".join(args)})'\n\n def __eq__(self, other):\n smsl = self.submodule_search_locations\n try:\n return (self.name == other.name and\n self.loader == other.loader and\n self.origin == other.origin and\n smsl == other.submodule_search_locations and\n self.cached == other.cached and\n self.has_location == other.has_location)\n except AttributeError:\n return NotImplemented\n\n @property\n def cached(self):\n if self._cached is None:\n if self.origin is not None and self._set_fileattr:\n if _bootstrap_external is None:\n raise NotImplementedError\n self._cached = _bootstrap_external._get_cached(self.origin)\n return self._cached\n\n @cached.setter\n def cached(self, cached):\n self._cached = cached\n\n @property\n def parent(self):\n \"\"\"The name of the module's parent.\"\"\"\n if self.submodule_search_locations is None:\n return self.name.rpartition('.')[0]\n else:\n return self.name\n\n @property\n def has_location(self):\n return self._set_fileattr\n\n @has_location.setter\n def has_location(self, value):\n self._set_fileattr = bool(value)\n\n\ndef spec_from_loader(name, loader, *, origin=None, is_package=None):\n \"\"\"Return a module spec based on various loader methods.\"\"\"\n if origin is None:\n origin = getattr(loader, '_ORIGIN', None)\n\n if not origin and hasattr(loader, 'get_filename'):\n if _bootstrap_external is None:\n raise NotImplementedError\n spec_from_file_location = _bootstrap_external.spec_from_file_location\n\n if is_package is None:\n return spec_from_file_location(name, loader=loader)\n search = [] if is_package else None\n return spec_from_file_location(name, loader=loader,\n submodule_search_locations=search)\n\n if is_package is None:\n if hasattr(loader, 'is_package'):\n try:\n is_package = loader.is_package(name)\n except ImportError:\n is_package = None # aka, undefined\n else:\n # the default\n is_package = False\n\n return ModuleSpec(name, loader, origin=origin, is_package=is_package)\n\n\ndef _spec_from_module(module, loader=None, origin=None):\n # This function is meant for use in _setup().\n try:\n spec = module.__spec__\n except AttributeError:\n pass\n else:\n if spec is not None:\n return spec\n\n name = module.__name__\n if loader is None:\n try:\n loader = module.__loader__\n except AttributeError:\n # loader will stay None.\n pass\n try:\n location = module.__file__\n except AttributeError:\n location = None\n if origin is None:\n if loader is not None:\n origin = getattr(loader, '_ORIGIN', None)\n if not origin and location is not None:\n origin = location\n try:\n cached = module.__cached__\n except AttributeError:\n cached = None\n try:\n submodule_search_locations = list(module.__path__)\n except AttributeError:\n submodule_search_locations = None\n\n spec = ModuleSpec(name, loader, origin=origin)\n spec._set_fileattr = False if location is None else (origin == location)\n spec.cached = cached\n spec.submodule_search_locations = submodule_search_locations\n return spec\n\n\ndef _init_module_attrs(spec, module, *, override=False):\n # The passed-in module may be not support attribute assignment,\n # in which case we simply don't set the attributes.\n # __name__\n if (override or getattr(module, '__name__', None) is None):\n try:\n module.__name__ = spec.name\n except AttributeError:\n pass\n # __loader__\n if override or getattr(module, '__loader__', None) is None:\n loader = spec.loader\n if loader is None:\n # A backward compatibility hack.\n if spec.submodule_search_locations is not None:\n if _bootstrap_external is None:\n raise NotImplementedError\n NamespaceLoader = _bootstrap_external.NamespaceLoader\n\n loader = NamespaceLoader.__new__(NamespaceLoader)\n loader._path = spec.submodule_search_locations\n spec.loader = loader\n # While the docs say that module.__file__ is not set for\n # built-in modules, and the code below will avoid setting it if\n # spec.has_location is false, this is incorrect for namespace\n # packages. Namespace packages have no location, but their\n # __spec__.origin is None, and thus their module.__file__\n # should also be None for consistency. While a bit of a hack,\n # this is the best place to ensure this consistency.\n #\n # See # https://docs.python.org/3/library/importlib.html#importlib.abc.Loader.load_module\n # and bpo-32305\n module.__file__ = None\n try:\n module.__loader__ = loader\n except AttributeError:\n pass\n # __package__\n if override or getattr(module, '__package__', None) is None:\n try:\n module.__package__ = spec.parent\n except AttributeError:\n pass\n # __spec__\n try:\n module.__spec__ = spec\n except AttributeError:\n pass\n # __path__\n if override or getattr(module, '__path__', None) is None:\n if spec.submodule_search_locations is not None:\n # XXX We should extend __path__ if it's already a list.\n try:\n module.__path__ = spec.submodule_search_locations\n except AttributeError:\n pass\n # __file__/__cached__\n if spec.has_location:\n if override or getattr(module, '__file__', None) is None:\n try:\n module.__file__ = spec.origin\n except AttributeError:\n pass\n\n if override or getattr(module, '__cached__', None) is None:\n if spec.cached is not None:\n try:\n module.__cached__ = spec.cached\n except AttributeError:\n pass\n return module\n\n\ndef module_from_spec(spec):\n \"\"\"Create a module based on the provided spec.\"\"\"\n # Typically loaders will not implement create_module().\n module = None\n if hasattr(spec.loader, 'create_module'):\n # If create_module() returns `None` then it means default\n # module creation should be used.\n module = spec.loader.create_module(spec)\n elif hasattr(spec.loader, 'exec_module'):\n raise ImportError('loaders that define exec_module() '\n 'must also define create_module()')\n if module is None:\n module = _new_module(spec.name)\n _init_module_attrs(spec, module)\n return module\n\n\ndef _module_repr_from_spec(spec):\n \"\"\"Return the repr to use for the module.\"\"\"\n name = '?' if spec.name is None else spec.name\n if spec.origin is None:\n loader = spec.loader\n if loader is None:\n return f''\n elif (\n _bootstrap_external is not None\n and isinstance(loader, _bootstrap_external.NamespaceLoader)\n ):\n return f''\n else:\n return f''\n else:\n if spec.has_location:\n return f''\n else:\n return f''\n\n\n# Used by importlib.reload() and _load_module_shim().\ndef _exec(spec, module):\n \"\"\"Execute the spec's specified module in an existing module's namespace.\"\"\"\n name = spec.name\n with _ModuleLockManager(name):\n if sys.modules.get(name) is not module:\n msg = f'module {name!r} not in sys.modules'\n raise ImportError(msg, name=name)\n try:\n if spec.loader is None:\n if spec.submodule_search_locations is None:\n raise ImportError('missing loader', name=spec.name)\n # Namespace package.\n _init_module_attrs(spec, module, override=True)\n else:\n _init_module_attrs(spec, module, override=True)\n if not hasattr(spec.loader, 'exec_module'):\n msg = (f\"{_object_name(spec.loader)}.exec_module() not found; \"\n \"falling back to load_module()\")\n _warnings.warn(msg, ImportWarning)\n spec.loader.load_module(name)\n else:\n spec.loader.exec_module(module)\n finally:\n # Update the order of insertion into sys.modules for module\n # clean-up at shutdown.\n module = sys.modules.pop(spec.name)\n sys.modules[spec.name] = module\n return module\n\n\ndef _load_backward_compatible(spec):\n # It is assumed that all callers have been warned about using load_module()\n # appropriately before calling this function.\n try:\n spec.loader.load_module(spec.name)\n except:\n if spec.name in sys.modules:\n module = sys.modules.pop(spec.name)\n sys.modules[spec.name] = module\n raise\n # The module must be in sys.modules at this point!\n # Move it to the end of sys.modules.\n module = sys.modules.pop(spec.name)\n sys.modules[spec.name] = module\n if getattr(module, '__loader__', None) is None:\n try:\n module.__loader__ = spec.loader\n except AttributeError:\n pass\n if getattr(module, '__package__', None) is None:\n try:\n # Since module.__path__ may not line up with\n # spec.submodule_search_paths, we can't necessarily rely\n # on spec.parent here.\n module.__package__ = module.__name__\n if not hasattr(module, '__path__'):\n module.__package__ = spec.name.rpartition('.')[0]\n except AttributeError:\n pass\n if getattr(module, '__spec__', None) is None:\n try:\n module.__spec__ = spec\n except AttributeError:\n pass\n return module\n\ndef _load_unlocked(spec):\n # A helper for direct use by the import system.\n if spec.loader is not None:\n # Not a namespace package.\n if not hasattr(spec.loader, 'exec_module'):\n msg = (f\"{_object_name(spec.loader)}.exec_module() not found; \"\n \"falling back to load_module()\")\n _warnings.warn(msg, ImportWarning)\n return _load_backward_compatible(spec)\n\n module = module_from_spec(spec)\n\n # This must be done before putting the module in sys.modules\n # (otherwise an optimization shortcut in import.c becomes\n # wrong).\n spec._initializing = True\n try:\n sys.modules[spec.name] = module\n try:\n if spec.loader is None:\n if spec.submodule_search_locations is None:\n raise ImportError('missing loader', name=spec.name)\n # A namespace package so do nothing.\n else:\n spec.loader.exec_module(module)\n except:\n try:\n del sys.modules[spec.name]\n except KeyError:\n pass\n raise\n # Move the module to the end of sys.modules.\n # We don't ensure that the import-related module attributes get\n # set in the sys.modules replacement case. Such modules are on\n # their own.\n module = sys.modules.pop(spec.name)\n sys.modules[spec.name] = module\n _verbose_message('import {!r} # {!r}', spec.name, spec.loader)\n finally:\n spec._initializing = False\n\n return module\n\n# A method used during testing of _load_unlocked() and by\n# _load_module_shim().\ndef _load(spec):\n \"\"\"Return a new module object, loaded by the spec's loader.\n\n The module is not added to its parent.\n\n If a module is already in sys.modules, that existing module gets\n clobbered.\n\n \"\"\"\n with _ModuleLockManager(spec.name):\n return _load_unlocked(spec)\n\n\n# Loaders #####################################################################\n\nclass BuiltinImporter:\n\n \"\"\"Meta path import for built-in modules.\n\n All methods are either class or static methods to avoid the need to\n instantiate the class.\n\n \"\"\"\n\n _ORIGIN = \"built-in\"\n\n @classmethod\n def find_spec(cls, fullname, path=None, target=None):\n if _imp.is_builtin(fullname):\n return spec_from_loader(fullname, cls, origin=cls._ORIGIN)\n else:\n return None\n\n @staticmethod\n def create_module(spec):\n \"\"\"Create a built-in module\"\"\"\n if spec.name not in sys.builtin_module_names:\n raise ImportError(f'{spec.name!r} is not a built-in module',\n name=spec.name)\n return _call_with_frames_removed(_imp.create_builtin, spec)\n\n @staticmethod\n def exec_module(module):\n \"\"\"Exec a built-in module\"\"\"\n _call_with_frames_removed(_imp.exec_builtin, module)\n\n @classmethod\n @_requires_builtin\n def get_code(cls, fullname):\n \"\"\"Return None as built-in modules do not have code objects.\"\"\"\n return None\n\n @classmethod\n @_requires_builtin\n def get_source(cls, fullname):\n \"\"\"Return None as built-in modules do not have source code.\"\"\"\n return None\n\n @classmethod\n @_requires_builtin\n def is_package(cls, fullname):\n \"\"\"Return False as built-in modules are never packages.\"\"\"\n return False\n\n load_module = classmethod(_load_module_shim)\n\n\nclass FrozenImporter:\n\n \"\"\"Meta path import for frozen modules.\n\n All methods are either class or static methods to avoid the need to\n instantiate the class.\n\n \"\"\"\n\n _ORIGIN = \"frozen\"\n\n @classmethod\n def _fix_up_module(cls, module):\n spec = module.__spec__\n state = spec.loader_state\n if state is None:\n # The module is missing FrozenImporter-specific values.\n\n # Fix up the spec attrs.\n origname = vars(module).pop('__origname__', None)\n assert origname, 'see PyImport_ImportFrozenModuleObject()'\n ispkg = hasattr(module, '__path__')\n assert _imp.is_frozen_package(module.__name__) == ispkg, ispkg\n filename, pkgdir = cls._resolve_filename(origname, spec.name, ispkg)\n spec.loader_state = type(sys.implementation)(\n filename=filename,\n origname=origname,\n )\n __path__ = spec.submodule_search_locations\n if ispkg:\n assert __path__ == [], __path__\n if pkgdir:\n spec.submodule_search_locations.insert(0, pkgdir)\n else:\n assert __path__ is None, __path__\n\n # Fix up the module attrs (the bare minimum).\n assert not hasattr(module, '__file__'), module.__file__\n if filename:\n try:\n module.__file__ = filename\n except AttributeError:\n pass\n if ispkg:\n if module.__path__ != __path__:\n assert module.__path__ == [], module.__path__\n module.__path__.extend(__path__)\n else:\n # These checks ensure that _fix_up_module() is only called\n # in the right places.\n __path__ = spec.submodule_search_locations\n ispkg = __path__ is not None\n # Check the loader state.\n assert sorted(vars(state)) == ['filename', 'origname'], state\n if state.origname:\n # The only frozen modules with \"origname\" set are stdlib modules.\n (__file__, pkgdir,\n ) = cls._resolve_filename(state.origname, spec.name, ispkg)\n assert state.filename == __file__, (state.filename, __file__)\n if pkgdir:\n assert __path__ == [pkgdir], (__path__, pkgdir)\n else:\n assert __path__ == ([] if ispkg else None), __path__\n else:\n __file__ = None\n assert state.filename is None, state.filename\n assert __path__ == ([] if ispkg else None), __path__\n # Check the file attrs.\n if __file__:\n assert hasattr(module, '__file__')\n assert module.__file__ == __file__, (module.__file__, __file__)\n else:\n assert not hasattr(module, '__file__'), module.__file__\n if ispkg:\n assert hasattr(module, '__path__')\n assert module.__path__ == __path__, (module.__path__, __path__)\n else:\n assert not hasattr(module, '__path__'), module.__path__\n assert not spec.has_location\n\n @classmethod\n def _resolve_filename(cls, fullname, alias=None, ispkg=False):\n if not fullname or not getattr(sys, '_stdlib_dir', None):\n return None, None\n try:\n sep = cls._SEP\n except AttributeError:\n sep = cls._SEP = '\\\\' if sys.platform == 'win32' else '/'\n\n if fullname != alias:\n if fullname.startswith('<'):\n fullname = fullname[1:]\n if not ispkg:\n fullname = f'{fullname}.__init__'\n else:\n ispkg = False\n relfile = fullname.replace('.', sep)\n if ispkg:\n pkgdir = f'{sys._stdlib_dir}{sep}{relfile}'\n filename = f'{pkgdir}{sep}__init__.py'\n else:\n pkgdir = None\n filename = f'{sys._stdlib_dir}{sep}{relfile}.py'\n return filename, pkgdir\n\n @classmethod\n def find_spec(cls, fullname, path=None, target=None):\n info = _call_with_frames_removed(_imp.find_frozen, fullname)\n if info is None:\n return None\n # We get the marshaled data in exec_module() (the loader\n # part of the importer), instead of here (the finder part).\n # The loader is the usual place to get the data that will\n # be loaded into the module. (For example, see _LoaderBasics\n # in _bootstra_external.py.) Most importantly, this importer\n # is simpler if we wait to get the data.\n # However, getting as much data in the finder as possible\n # to later load the module is okay, and sometimes important.\n # (That's why ModuleSpec.loader_state exists.) This is\n # especially true if it avoids throwing away expensive data\n # the loader would otherwise duplicate later and can be done\n # efficiently. In this case it isn't worth it.\n _, ispkg, origname = info\n spec = spec_from_loader(fullname, cls,\n origin=cls._ORIGIN,\n is_package=ispkg)\n filename, pkgdir = cls._resolve_filename(origname, fullname, ispkg)\n spec.loader_state = type(sys.implementation)(\n filename=filename,\n origname=origname,\n )\n if pkgdir:\n spec.submodule_search_locations.insert(0, pkgdir)\n return spec\n\n @staticmethod\n def create_module(spec):\n \"\"\"Set __file__, if able.\"\"\"\n module = _new_module(spec.name)\n try:\n filename = spec.loader_state.filename\n except AttributeError:\n pass\n else:\n if filename:\n module.__file__ = filename\n return module\n\n @staticmethod\n def exec_module(module):\n spec = module.__spec__\n name = spec.name\n code = _call_with_frames_removed(_imp.get_frozen_object, name)\n exec(code, module.__dict__)\n\n @classmethod\n def load_module(cls, fullname):\n \"\"\"Load a frozen module.\n\n This method is deprecated. Use exec_module() instead.\n\n \"\"\"\n # Warning about deprecation implemented in _load_module_shim().\n module = _load_module_shim(cls, fullname)\n info = _imp.find_frozen(fullname)\n assert info is not None\n _, ispkg, origname = info\n module.__origname__ = origname\n vars(module).pop('__file__', None)\n if ispkg:\n module.__path__ = []\n cls._fix_up_module(module)\n return module\n\n @classmethod\n @_requires_frozen\n def get_code(cls, fullname):\n \"\"\"Return the code object for the frozen module.\"\"\"\n return _imp.get_frozen_object(fullname)\n\n @classmethod\n @_requires_frozen\n def get_source(cls, fullname):\n \"\"\"Return None as frozen modules do not have source code.\"\"\"\n return None\n\n @classmethod\n @_requires_frozen\n def is_package(cls, fullname):\n \"\"\"Return True if the frozen module is a package.\"\"\"\n return _imp.is_frozen_package(fullname)\n\n\n# Import itself ###############################################################\n\nclass _ImportLockContext:\n\n \"\"\"Context manager for the import lock.\"\"\"\n\n def __enter__(self):\n \"\"\"Acquire the import lock.\"\"\"\n _imp.acquire_lock()\n\n def __exit__(self, exc_type, exc_value, exc_traceback):\n \"\"\"Release the import lock regardless of any raised exceptions.\"\"\"\n _imp.release_lock()\n\n\ndef _resolve_name(name, package, level):\n \"\"\"Resolve a relative module name to an absolute one.\"\"\"\n bits = package.rsplit('.', level - 1)\n if len(bits) < level:\n raise ImportError('attempted relative import beyond top-level package')\n base = bits[0]\n return f'{base}.{name}' if name else base\n\n\ndef _find_spec(name, path, target=None):\n \"\"\"Find a module's spec.\"\"\"\n meta_path = sys.meta_path\n if meta_path is None:\n # PyImport_Cleanup() is running or has been called.\n raise ImportError(\"sys.meta_path is None, Python is likely \"\n \"shutting down\")\n\n if not meta_path:\n _warnings.warn('sys.meta_path is empty', ImportWarning)\n\n # We check sys.modules here for the reload case. While a passed-in\n # target will usually indicate a reload there is no guarantee, whereas\n # sys.modules provides one.\n is_reload = name in sys.modules\n for finder in meta_path:\n with _ImportLockContext():\n try:\n find_spec = finder.find_spec\n except AttributeError:\n continue\n else:\n spec = find_spec(name, path, target)\n if spec is not None:\n # The parent import may have already imported this module.\n if not is_reload and name in sys.modules:\n module = sys.modules[name]\n try:\n __spec__ = module.__spec__\n except AttributeError:\n # We use the found spec since that is the one that\n # we would have used if the parent module hadn't\n # beaten us to the punch.\n return spec\n else:\n if __spec__ is None:\n return spec\n else:\n return __spec__\n else:\n return spec\n else:\n return None\n\n\ndef _sanity_check(name, package, level):\n \"\"\"Verify arguments are \"sane\".\"\"\"\n if not isinstance(name, str):\n raise TypeError(f'module name must be str, not {type(name)}')\n if level < 0:\n raise ValueError('level must be >= 0')\n if level > 0:\n if not isinstance(package, str):\n raise TypeError('__package__ not set to a string')\n elif not package:\n raise ImportError('attempted relative import with no known parent '\n 'package')\n if not name and level == 0:\n raise ValueError('Empty module name')\n\n\n_ERR_MSG_PREFIX = 'No module named '\n_ERR_MSG = _ERR_MSG_PREFIX + '{!r}'\n\ndef _find_and_load_unlocked(name, import_):\n path = None\n parent = name.rpartition('.')[0]\n parent_spec = None\n if parent:\n if parent not in sys.modules:\n _call_with_frames_removed(import_, parent)\n # Crazy side-effects!\n if name in sys.modules:\n return sys.modules[name]\n parent_module = sys.modules[parent]\n try:\n path = parent_module.__path__\n except AttributeError:\n msg = f'{_ERR_MSG_PREFIX}{name!r}; {parent!r} is not a package'\n raise ModuleNotFoundError(msg, name=name) from None\n parent_spec = parent_module.__spec__\n child = name.rpartition('.')[2]\n spec = _find_spec(name, path)\n if spec is None:\n raise ModuleNotFoundError(f'{_ERR_MSG_PREFIX}{name!r}', name=name)\n else:\n if parent_spec:\n # Temporarily add child we are currently importing to parent's\n # _uninitialized_submodules for circular import tracking.\n parent_spec._uninitialized_submodules.append(child)\n try:\n module = _load_unlocked(spec)\n finally:\n if parent_spec:\n parent_spec._uninitialized_submodules.pop()\n if parent:\n # Set the module as an attribute on its parent.\n parent_module = sys.modules[parent]\n try:\n setattr(parent_module, child, module)\n except AttributeError:\n msg = f\"Cannot set an attribute on {parent!r} for child module {child!r}\"\n _warnings.warn(msg, ImportWarning)\n return module\n\n\n_NEEDS_LOADING = object()\n\n\ndef _find_and_load(name, import_):\n \"\"\"Find and load the module.\"\"\"\n\n # Optimization: we avoid unneeded module locking if the module\n # already exists in sys.modules and is fully initialized.\n module = sys.modules.get(name, _NEEDS_LOADING)\n if (module is _NEEDS_LOADING or\n getattr(getattr(module, \"__spec__\", None), \"_initializing\", False)):\n with _ModuleLockManager(name):\n module = sys.modules.get(name, _NEEDS_LOADING)\n if module is _NEEDS_LOADING:\n return _find_and_load_unlocked(name, import_)\n\n # Optimization: only call _bootstrap._lock_unlock_module() if\n # module.__spec__._initializing is True.\n # NOTE: because of this, initializing must be set *before*\n # putting the new module in sys.modules.\n _lock_unlock_module(name)\n\n if module is None:\n message = f'import of {name} halted; None in sys.modules'\n raise ModuleNotFoundError(message, name=name)\n\n return module\n\n\ndef _gcd_import(name, package=None, level=0):\n \"\"\"Import and return the module based on its name, the package the call is\n being made from, and the level adjustment.\n\n This function represents the greatest common denominator of functionality\n between import_module and __import__. This includes setting __package__ if\n the loader did not.\n\n \"\"\"\n _sanity_check(name, package, level)\n if level > 0:\n name = _resolve_name(name, package, level)\n return _find_and_load(name, _gcd_import)\n\n\ndef _handle_fromlist(module, fromlist, import_, *, recursive=False):\n \"\"\"Figure out what __import__ should return.\n\n The import_ parameter is a callable which takes the name of module to\n import. It is required to decouple the function from assuming importlib's\n import implementation is desired.\n\n \"\"\"\n # The hell that is fromlist ...\n # If a package was imported, try to import stuff from fromlist.\n for x in fromlist:\n if not isinstance(x, str):\n if recursive:\n where = module.__name__ + '.__all__'\n else:\n where = \"``from list''\"\n raise TypeError(f\"Item in {where} must be str, \"\n f\"not {type(x).__name__}\")\n elif x == '*':\n if not recursive and hasattr(module, '__all__'):\n _handle_fromlist(module, module.__all__, import_,\n recursive=True)\n elif not hasattr(module, x):\n from_name = f'{module.__name__}.{x}'\n try:\n _call_with_frames_removed(import_, from_name)\n except ModuleNotFoundError as exc:\n # Backwards-compatibility dictates we ignore failed\n # imports triggered by fromlist for modules that don't\n # exist.\n if (exc.name == from_name and\n sys.modules.get(from_name, _NEEDS_LOADING) is not None):\n continue\n raise\n return module\n\n\ndef _calc___package__(globals):\n \"\"\"Calculate what __package__ should be.\n\n __package__ is not guaranteed to be defined or could be set to None\n to represent that its proper value is unknown.\n\n \"\"\"\n package = globals.get('__package__')\n spec = globals.get('__spec__')\n if package is not None:\n if spec is not None and package != spec.parent:\n _warnings.warn(\"__package__ != __spec__.parent \"\n f\"({package!r} != {spec.parent!r})\",\n DeprecationWarning, stacklevel=3)\n return package\n elif spec is not None:\n return spec.parent\n else:\n _warnings.warn(\"can't resolve package from __spec__ or __package__, \"\n \"falling back on __name__ and __path__\",\n ImportWarning, stacklevel=3)\n package = globals['__name__']\n if '__path__' not in globals:\n package = package.rpartition('.')[0]\n return package\n\n\ndef __import__(name, globals=None, locals=None, fromlist=(), level=0):\n \"\"\"Import a module.\n\n The 'globals' argument is used to infer where the import is occurring from\n to handle relative imports. The 'locals' argument is ignored. The\n 'fromlist' argument specifies what should exist as attributes on the module\n being imported (e.g. ``from module import ``). The 'level'\n argument represents the package location to import from in a relative\n import (e.g. ``from ..pkg import mod`` would have a 'level' of 2).\n\n \"\"\"\n if level == 0:\n module = _gcd_import(name)\n else:\n globals_ = globals if globals is not None else {}\n package = _calc___package__(globals_)\n module = _gcd_import(name, package, level)\n if not fromlist:\n # Return up to the first dot in 'name'. This is complicated by the fact\n # that 'name' may be relative.\n if level == 0:\n return _gcd_import(name.partition('.')[0])\n elif not name:\n return module\n else:\n # Figure out where to slice the module's name up to the first dot\n # in 'name'.\n cut_off = len(name) - len(name.partition('.')[0])\n # Slice end needs to be positive to alleviate need to special-case\n # when ``'.' not in name``.\n return sys.modules[module.__name__[:len(module.__name__)-cut_off]]\n elif hasattr(module, '__path__'):\n return _handle_fromlist(module, fromlist, _gcd_import)\n else:\n return module\n\n\ndef _builtin_from_name(name):\n spec = BuiltinImporter.find_spec(name)\n if spec is None:\n raise ImportError('no built-in module named ' + name)\n return _load_unlocked(spec)\n\n\ndef _setup(sys_module, _imp_module):\n \"\"\"Setup importlib by importing needed built-in modules and injecting them\n into the global namespace.\n\n As sys is needed for sys.modules access and _imp is needed to load built-in\n modules, those two modules must be explicitly passed in.\n\n \"\"\"\n global _imp, sys, _blocking_on\n _imp = _imp_module\n sys = sys_module\n\n # Set up the spec for existing builtin/frozen modules.\n module_type = type(sys)\n for name, module in sys.modules.items():\n if isinstance(module, module_type):\n if name in sys.builtin_module_names:\n loader = BuiltinImporter\n elif _imp.is_frozen(name):\n loader = FrozenImporter\n else:\n continue\n spec = _spec_from_module(module, loader)\n _init_module_attrs(spec, module)\n if loader is FrozenImporter:\n loader._fix_up_module(module)\n\n # Directly load built-in modules needed during bootstrap.\n self_module = sys.modules[__name__]\n for builtin_name in ('_thread', '_warnings', '_weakref'):\n if builtin_name not in sys.modules:\n builtin_module = _builtin_from_name(builtin_name)\n else:\n builtin_module = sys.modules[builtin_name]\n setattr(self_module, builtin_name, builtin_module)\n\n # Instantiation requires _weakref to have been set.\n _blocking_on = _WeakValueDictionary()\n\n\ndef _install(sys_module, _imp_module):\n \"\"\"Install importers for builtin and frozen modules\"\"\"\n _setup(sys_module, _imp_module)\n\n sys.meta_path.append(BuiltinImporter)\n sys.meta_path.append(FrozenImporter)\n\n\ndef _install_external_importers():\n \"\"\"Install importers that require external filesystem access\"\"\"\n global _bootstrap_external\n import _frozen_importlib_external\n _bootstrap_external = _frozen_importlib_external\n _frozen_importlib_external._install(sys.modules[__name__])\n", 1551], "/home/gaogaotiantian/programs/viztracer/venv/lib/python3.12/site-packages/_distutils_hack/__init__.py": ["# don't import any costly modules\nimport os\nimport sys\n\nreport_url = (\n \"https://github.com/pypa/setuptools/issues/new?template=distutils-deprecation.yml\"\n)\n\n\ndef warn_distutils_present():\n if 'distutils' not in sys.modules:\n return\n import warnings\n\n warnings.warn(\n \"Distutils was imported before Setuptools, but importing Setuptools \"\n \"also replaces the `distutils` module in `sys.modules`. This may lead \"\n \"to undesirable behaviors or errors. To avoid these issues, avoid \"\n \"using distutils directly, ensure that setuptools is installed in the \"\n \"traditional way (e.g. not an editable install), and/or make sure \"\n \"that setuptools is always imported before distutils.\"\n )\n\n\ndef clear_distutils():\n if 'distutils' not in sys.modules:\n return\n import warnings\n\n warnings.warn(\n \"Setuptools is replacing distutils. Support for replacing \"\n \"an already imported distutils is deprecated. In the future, \"\n \"this condition will fail. \"\n f\"Register concerns at {report_url}\"\n )\n mods = [\n name\n for name in sys.modules\n if name == \"distutils\" or name.startswith(\"distutils.\")\n ]\n for name in mods:\n del sys.modules[name]\n\n\ndef enabled():\n \"\"\"\n Allow selection of distutils by environment variable.\n \"\"\"\n which = os.environ.get('SETUPTOOLS_USE_DISTUTILS', 'local')\n if which == 'stdlib':\n import warnings\n\n warnings.warn(\n \"Reliance on distutils from stdlib is deprecated. Users \"\n \"must rely on setuptools to provide the distutils module. \"\n \"Avoid importing distutils or import setuptools first, \"\n \"and avoid setting SETUPTOOLS_USE_DISTUTILS=stdlib. \"\n f\"Register concerns at {report_url}\"\n )\n return which == 'local'\n\n\ndef ensure_local_distutils():\n import importlib\n\n clear_distutils()\n\n # With the DistutilsMetaFinder in place,\n # perform an import to cause distutils to be\n # loaded from setuptools._distutils. Ref #2906.\n with shim():\n importlib.import_module('distutils')\n\n # check that submodules load as expected\n core = importlib.import_module('distutils.core')\n assert '_distutils' in core.__file__, core.__file__\n assert 'setuptools._distutils.log' not in sys.modules\n\n\ndef do_override():\n \"\"\"\n Ensure that the local copy of distutils is preferred over stdlib.\n\n See https://github.com/pypa/setuptools/issues/417#issuecomment-392298401\n for more motivation.\n \"\"\"\n if enabled():\n warn_distutils_present()\n ensure_local_distutils()\n\n\nclass _TrivialRe:\n def __init__(self, *patterns) -> None:\n self._patterns = patterns\n\n def match(self, string):\n return all(pat in string for pat in self._patterns)\n\n\nclass DistutilsMetaFinder:\n def find_spec(self, fullname, path, target=None):\n # optimization: only consider top level modules and those\n # found in the CPython test suite.\n if path is not None and not fullname.startswith('test.'):\n return None\n\n method_name = 'spec_for_{fullname}'.format(**locals())\n method = getattr(self, method_name, lambda: None)\n return method()\n\n def spec_for_distutils(self):\n if self.is_cpython():\n return None\n\n import importlib\n import importlib.abc\n import importlib.util\n\n try:\n mod = importlib.import_module('setuptools._distutils')\n except Exception:\n # There are a couple of cases where setuptools._distutils\n # may not be present:\n # - An older Setuptools without a local distutils is\n # taking precedence. Ref #2957.\n # - Path manipulation during sitecustomize removes\n # setuptools from the path but only after the hook\n # has been loaded. Ref #2980.\n # In either case, fall back to stdlib behavior.\n return None\n\n class DistutilsLoader(importlib.abc.Loader):\n def create_module(self, spec):\n mod.__name__ = 'distutils'\n return mod\n\n def exec_module(self, module):\n pass\n\n return importlib.util.spec_from_loader(\n 'distutils', DistutilsLoader(), origin=mod.__file__\n )\n\n @staticmethod\n def is_cpython():\n \"\"\"\n Suppress supplying distutils for CPython (build and tests).\n Ref #2965 and #3007.\n \"\"\"\n return os.path.isfile('pybuilddir.txt')\n\n def spec_for_pip(self):\n \"\"\"\n Ensure stdlib distutils when running under pip.\n See pypa/pip#8761 for rationale.\n \"\"\"\n if sys.version_info >= (3, 12) or self.pip_imported_during_build():\n return\n clear_distutils()\n self.spec_for_distutils = lambda: None\n\n @classmethod\n def pip_imported_during_build(cls):\n \"\"\"\n Detect if pip is being imported in a build script. Ref #2355.\n \"\"\"\n import traceback\n\n return any(\n cls.frame_file_is_setup(frame) for frame, line in traceback.walk_stack(None)\n )\n\n @staticmethod\n def frame_file_is_setup(frame):\n \"\"\"\n Return True if the indicated frame suggests a setup.py file.\n \"\"\"\n # some frames may not have __file__ (#2940)\n return frame.f_globals.get('__file__', '').endswith('setup.py')\n\n def spec_for_sensitive_tests(self):\n \"\"\"\n Ensure stdlib distutils when running select tests under CPython.\n\n python/cpython#91169\n \"\"\"\n clear_distutils()\n self.spec_for_distutils = lambda: None\n\n sensitive_tests = (\n [\n 'test.test_distutils',\n 'test.test_peg_generator',\n 'test.test_importlib',\n ]\n if sys.version_info < (3, 10)\n else [\n 'test.test_distutils',\n ]\n )\n\n\nfor name in DistutilsMetaFinder.sensitive_tests:\n setattr(\n DistutilsMetaFinder,\n f'spec_for_{name}',\n DistutilsMetaFinder.spec_for_sensitive_tests,\n )\n\n\nDISTUTILS_FINDER = DistutilsMetaFinder()\n\n\ndef add_shim():\n DISTUTILS_FINDER in sys.meta_path or insert_shim()\n\n\nclass shim:\n def __enter__(self) -> None:\n insert_shim()\n\n def __exit__(self, exc: object, value: object, tb: object) -> None:\n _remove_shim()\n\n\ndef insert_shim():\n sys.meta_path.insert(0, DISTUTILS_FINDER)\n\n\ndef _remove_shim():\n try:\n sys.meta_path.remove(DISTUTILS_FINDER)\n except ValueError:\n pass\n\n\nif sys.version_info < (3, 12):\n # DistutilsMetaFinder can only be disabled in Python < 3.12 (PEP 632)\n remove_shim = _remove_shim\n", 239], "": ["\"\"\"Core implementation of path-based import.\n\nThis module is NOT meant to be directly imported! It has been designed such\nthat it can be bootstrapped into Python as the implementation of import. As\nsuch it requires the injection of specific modules and attributes in order to\nwork. One should use importlib as the public-facing version of this module.\n\n\"\"\"\n# IMPORTANT: Whenever making changes to this module, be sure to run a top-level\n# `make regen-importlib` followed by `make` in order to get the frozen version\n# of the module updated. Not doing so will result in the Makefile to fail for\n# all others who don't have a ./python around to freeze the module in the early\n# stages of compilation.\n#\n\n# See importlib._setup() for what is injected into the global namespace.\n\n# When editing this code be aware that code executed at import time CANNOT\n# reference any injected objects! This includes not only global code but also\n# anything specified at the class level.\n\n# Module injected manually by _set_bootstrap_module()\n_bootstrap = None\n\n# Import builtin modules\nimport _imp\nimport _io\nimport sys\nimport _warnings\nimport marshal\n\n\n_MS_WINDOWS = (sys.platform == 'win32')\nif _MS_WINDOWS:\n import nt as _os\n import winreg\nelse:\n import posix as _os\n\n\nif _MS_WINDOWS:\n path_separators = ['\\\\', '/']\nelse:\n path_separators = ['/']\n# Assumption made in _path_join()\nassert all(len(sep) == 1 for sep in path_separators)\npath_sep = path_separators[0]\npath_sep_tuple = tuple(path_separators)\npath_separators = ''.join(path_separators)\n_pathseps_with_colon = {f':{s}' for s in path_separators}\n\n\n# Bootstrap-related code ######################################################\n_CASE_INSENSITIVE_PLATFORMS_STR_KEY = 'win',\n_CASE_INSENSITIVE_PLATFORMS_BYTES_KEY = 'cygwin', 'darwin'\n_CASE_INSENSITIVE_PLATFORMS = (_CASE_INSENSITIVE_PLATFORMS_BYTES_KEY\n + _CASE_INSENSITIVE_PLATFORMS_STR_KEY)\n\n\ndef _make_relax_case():\n if sys.platform.startswith(_CASE_INSENSITIVE_PLATFORMS):\n if sys.platform.startswith(_CASE_INSENSITIVE_PLATFORMS_STR_KEY):\n key = 'PYTHONCASEOK'\n else:\n key = b'PYTHONCASEOK'\n\n def _relax_case():\n \"\"\"True if filenames must be checked case-insensitively and ignore environment flags are not set.\"\"\"\n return not sys.flags.ignore_environment and key in _os.environ\n else:\n def _relax_case():\n \"\"\"True if filenames must be checked case-insensitively.\"\"\"\n return False\n return _relax_case\n\n_relax_case = _make_relax_case()\n\n\ndef _pack_uint32(x):\n \"\"\"Convert a 32-bit integer to little-endian.\"\"\"\n return (int(x) & 0xFFFFFFFF).to_bytes(4, 'little')\n\n\ndef _unpack_uint32(data):\n \"\"\"Convert 4 bytes in little-endian to an integer.\"\"\"\n assert len(data) == 4\n return int.from_bytes(data, 'little')\n\ndef _unpack_uint16(data):\n \"\"\"Convert 2 bytes in little-endian to an integer.\"\"\"\n assert len(data) == 2\n return int.from_bytes(data, 'little')\n\n\nif _MS_WINDOWS:\n def _path_join(*path_parts):\n \"\"\"Replacement for os.path.join().\"\"\"\n if not path_parts:\n return \"\"\n if len(path_parts) == 1:\n return path_parts[0]\n root = \"\"\n path = []\n for new_root, tail in map(_os._path_splitroot, path_parts):\n if new_root.startswith(path_sep_tuple) or new_root.endswith(path_sep_tuple):\n root = new_root.rstrip(path_separators) or root\n path = [path_sep + tail]\n elif new_root.endswith(':'):\n if root.casefold() != new_root.casefold():\n # Drive relative paths have to be resolved by the OS, so we reset the\n # tail but do not add a path_sep prefix.\n root = new_root\n path = [tail]\n else:\n path.append(tail)\n else:\n root = new_root or root\n path.append(tail)\n path = [p.rstrip(path_separators) for p in path if p]\n if len(path) == 1 and not path[0]:\n # Avoid losing the root's trailing separator when joining with nothing\n return root + path_sep\n return root + path_sep.join(path)\n\nelse:\n def _path_join(*path_parts):\n \"\"\"Replacement for os.path.join().\"\"\"\n return path_sep.join([part.rstrip(path_separators)\n for part in path_parts if part])\n\n\ndef _path_split(path):\n \"\"\"Replacement for os.path.split().\"\"\"\n i = max(path.rfind(p) for p in path_separators)\n if i < 0:\n return '', path\n return path[:i], path[i + 1:]\n\n\ndef _path_stat(path):\n \"\"\"Stat the path.\n\n Made a separate function to make it easier to override in experiments\n (e.g. cache stat results).\n\n \"\"\"\n return _os.stat(path)\n\n\ndef _path_is_mode_type(path, mode):\n \"\"\"Test whether the path is the specified mode type.\"\"\"\n try:\n stat_info = _path_stat(path)\n except OSError:\n return False\n return (stat_info.st_mode & 0o170000) == mode\n\n\ndef _path_isfile(path):\n \"\"\"Replacement for os.path.isfile.\"\"\"\n return _path_is_mode_type(path, 0o100000)\n\n\ndef _path_isdir(path):\n \"\"\"Replacement for os.path.isdir.\"\"\"\n if not path:\n path = _os.getcwd()\n return _path_is_mode_type(path, 0o040000)\n\n\nif _MS_WINDOWS:\n def _path_isabs(path):\n \"\"\"Replacement for os.path.isabs.\"\"\"\n if not path:\n return False\n root = _os._path_splitroot(path)[0].replace('/', '\\\\')\n return len(root) > 1 and (root.startswith('\\\\\\\\') or root.endswith('\\\\'))\n\nelse:\n def _path_isabs(path):\n \"\"\"Replacement for os.path.isabs.\"\"\"\n return path.startswith(path_separators)\n\n\ndef _path_abspath(path):\n \"\"\"Replacement for os.path.abspath.\"\"\"\n if not _path_isabs(path):\n for sep in path_separators:\n path = path.removeprefix(f\".{sep}\")\n return _path_join(_os.getcwd(), path)\n else:\n return path\n\n\ndef _write_atomic(path, data, mode=0o666):\n \"\"\"Best-effort function to write data to a path atomically.\n Be prepared to handle a FileExistsError if concurrent writing of the\n temporary file is attempted.\"\"\"\n # id() is used to generate a pseudo-random filename.\n path_tmp = f'{path}.{id(path)}'\n fd = _os.open(path_tmp,\n _os.O_EXCL | _os.O_CREAT | _os.O_WRONLY, mode & 0o666)\n try:\n # We first write data to a temporary file, and then use os.replace() to\n # perform an atomic rename.\n with _io.FileIO(fd, 'wb') as file:\n file.write(data)\n _os.replace(path_tmp, path)\n except OSError:\n try:\n _os.unlink(path_tmp)\n except OSError:\n pass\n raise\n\n\n_code_type = type(_write_atomic.__code__)\n\n\n# Finder/loader utility code ###############################################\n\n# Magic word to reject .pyc files generated by other Python versions.\n# It should change for each incompatible change to the bytecode.\n#\n# The value of CR and LF is incorporated so if you ever read or write\n# a .pyc file in text mode the magic number will be wrong; also, the\n# Apple MPW compiler swaps their values, botching string constants.\n#\n# There were a variety of old schemes for setting the magic number.\n# The current working scheme is to increment the previous value by\n# 10.\n#\n# Starting with the adoption of PEP 3147 in Python 3.2, every bump in magic\n# number also includes a new \"magic tag\", i.e. a human readable string used\n# to represent the magic number in __pycache__ directories. When you change\n# the magic number, you must also set a new unique magic tag. Generally this\n# can be named after the Python major version of the magic number bump, but\n# it can really be anything, as long as it's different than anything else\n# that's come before. The tags are included in the following table, starting\n# with Python 3.2a0.\n#\n# Known values:\n# Python 1.5: 20121\n# Python 1.5.1: 20121\n# Python 1.5.2: 20121\n# Python 1.6: 50428\n# Python 2.0: 50823\n# Python 2.0.1: 50823\n# Python 2.1: 60202\n# Python 2.1.1: 60202\n# Python 2.1.2: 60202\n# Python 2.2: 60717\n# Python 2.3a0: 62011\n# Python 2.3a0: 62021\n# Python 2.3a0: 62011 (!)\n# Python 2.4a0: 62041\n# Python 2.4a3: 62051\n# Python 2.4b1: 62061\n# Python 2.5a0: 62071\n# Python 2.5a0: 62081 (ast-branch)\n# Python 2.5a0: 62091 (with)\n# Python 2.5a0: 62092 (changed WITH_CLEANUP opcode)\n# Python 2.5b3: 62101 (fix wrong code: for x, in ...)\n# Python 2.5b3: 62111 (fix wrong code: x += yield)\n# Python 2.5c1: 62121 (fix wrong lnotab with for loops and\n# storing constants that should have been removed)\n# Python 2.5c2: 62131 (fix wrong code: for x, in ... in listcomp/genexp)\n# Python 2.6a0: 62151 (peephole optimizations and STORE_MAP opcode)\n# Python 2.6a1: 62161 (WITH_CLEANUP optimization)\n# Python 2.7a0: 62171 (optimize list comprehensions/change LIST_APPEND)\n# Python 2.7a0: 62181 (optimize conditional branches:\n# introduce POP_JUMP_IF_FALSE and POP_JUMP_IF_TRUE)\n# Python 2.7a0 62191 (introduce SETUP_WITH)\n# Python 2.7a0 62201 (introduce BUILD_SET)\n# Python 2.7a0 62211 (introduce MAP_ADD and SET_ADD)\n# Python 3000: 3000\n# 3010 (removed UNARY_CONVERT)\n# 3020 (added BUILD_SET)\n# 3030 (added keyword-only parameters)\n# 3040 (added signature annotations)\n# 3050 (print becomes a function)\n# 3060 (PEP 3115 metaclass syntax)\n# 3061 (string literals become unicode)\n# 3071 (PEP 3109 raise changes)\n# 3081 (PEP 3137 make __file__ and __name__ unicode)\n# 3091 (kill str8 interning)\n# 3101 (merge from 2.6a0, see 62151)\n# 3103 (__file__ points to source file)\n# Python 3.0a4: 3111 (WITH_CLEANUP optimization).\n# Python 3.0b1: 3131 (lexical exception stacking, including POP_EXCEPT\n #3021)\n# Python 3.1a1: 3141 (optimize list, set and dict comprehensions:\n# change LIST_APPEND and SET_ADD, add MAP_ADD #2183)\n# Python 3.1a1: 3151 (optimize conditional branches:\n# introduce POP_JUMP_IF_FALSE and POP_JUMP_IF_TRUE\n #4715)\n# Python 3.2a1: 3160 (add SETUP_WITH #6101)\n# tag: cpython-32\n# Python 3.2a2: 3170 (add DUP_TOP_TWO, remove DUP_TOPX and ROT_FOUR #9225)\n# tag: cpython-32\n# Python 3.2a3 3180 (add DELETE_DEREF #4617)\n# Python 3.3a1 3190 (__class__ super closure changed)\n# Python 3.3a1 3200 (PEP 3155 __qualname__ added #13448)\n# Python 3.3a1 3210 (added size modulo 2**32 to the pyc header #13645)\n# Python 3.3a2 3220 (changed PEP 380 implementation #14230)\n# Python 3.3a4 3230 (revert changes to implicit __class__ closure #14857)\n# Python 3.4a1 3250 (evaluate positional default arguments before\n# keyword-only defaults #16967)\n# Python 3.4a1 3260 (add LOAD_CLASSDEREF; allow locals of class to override\n# free vars #17853)\n# Python 3.4a1 3270 (various tweaks to the __class__ closure #12370)\n# Python 3.4a1 3280 (remove implicit class argument)\n# Python 3.4a4 3290 (changes to __qualname__ computation #19301)\n# Python 3.4a4 3300 (more changes to __qualname__ computation #19301)\n# Python 3.4rc2 3310 (alter __qualname__ computation #20625)\n# Python 3.5a1 3320 (PEP 465: Matrix multiplication operator #21176)\n# Python 3.5b1 3330 (PEP 448: Additional Unpacking Generalizations #2292)\n# Python 3.5b2 3340 (fix dictionary display evaluation order #11205)\n# Python 3.5b3 3350 (add GET_YIELD_FROM_ITER opcode #24400)\n# Python 3.5.2 3351 (fix BUILD_MAP_UNPACK_WITH_CALL opcode #27286)\n# Python 3.6a0 3360 (add FORMAT_VALUE opcode #25483)\n# Python 3.6a1 3361 (lineno delta of code.co_lnotab becomes signed #26107)\n# Python 3.6a2 3370 (16 bit wordcode #26647)\n# Python 3.6a2 3371 (add BUILD_CONST_KEY_MAP opcode #27140)\n# Python 3.6a2 3372 (MAKE_FUNCTION simplification, remove MAKE_CLOSURE\n# #27095)\n# Python 3.6b1 3373 (add BUILD_STRING opcode #27078)\n# Python 3.6b1 3375 (add SETUP_ANNOTATIONS and STORE_ANNOTATION opcodes\n# #27985)\n# Python 3.6b1 3376 (simplify CALL_FUNCTIONs & BUILD_MAP_UNPACK_WITH_CALL\n #27213)\n# Python 3.6b1 3377 (set __class__ cell from type.__new__ #23722)\n# Python 3.6b2 3378 (add BUILD_TUPLE_UNPACK_WITH_CALL #28257)\n# Python 3.6rc1 3379 (more thorough __class__ validation #23722)\n# Python 3.7a1 3390 (add LOAD_METHOD and CALL_METHOD opcodes #26110)\n# Python 3.7a2 3391 (update GET_AITER #31709)\n# Python 3.7a4 3392 (PEP 552: Deterministic pycs #31650)\n# Python 3.7b1 3393 (remove STORE_ANNOTATION opcode #32550)\n# Python 3.7b5 3394 (restored docstring as the first stmt in the body;\n# this might affected the first line number #32911)\n# Python 3.8a1 3400 (move frame block handling to compiler #17611)\n# Python 3.8a1 3401 (add END_ASYNC_FOR #33041)\n# Python 3.8a1 3410 (PEP570 Python Positional-Only Parameters #36540)\n# Python 3.8b2 3411 (Reverse evaluation order of key: value in dict\n# comprehensions #35224)\n# Python 3.8b2 3412 (Swap the position of positional args and positional\n# only args in ast.arguments #37593)\n# Python 3.8b4 3413 (Fix \"break\" and \"continue\" in \"finally\" #37830)\n# Python 3.9a0 3420 (add LOAD_ASSERTION_ERROR #34880)\n# Python 3.9a0 3421 (simplified bytecode for with blocks #32949)\n# Python 3.9a0 3422 (remove BEGIN_FINALLY, END_FINALLY, CALL_FINALLY, POP_FINALLY bytecodes #33387)\n# Python 3.9a2 3423 (add IS_OP, CONTAINS_OP and JUMP_IF_NOT_EXC_MATCH bytecodes #39156)\n# Python 3.9a2 3424 (simplify bytecodes for *value unpacking)\n# Python 3.9a2 3425 (simplify bytecodes for **value unpacking)\n# Python 3.10a1 3430 (Make 'annotations' future by default)\n# Python 3.10a1 3431 (New line number table format -- PEP 626)\n# Python 3.10a2 3432 (Function annotation for MAKE_FUNCTION is changed from dict to tuple bpo-42202)\n# Python 3.10a2 3433 (RERAISE restores f_lasti if oparg != 0)\n# Python 3.10a6 3434 (PEP 634: Structural Pattern Matching)\n# Python 3.10a7 3435 Use instruction offsets (as opposed to byte offsets).\n# Python 3.10b1 3436 (Add GEN_START bytecode #43683)\n# Python 3.10b1 3437 (Undo making 'annotations' future by default - We like to dance among core devs!)\n# Python 3.10b1 3438 Safer line number table handling.\n# Python 3.10b1 3439 (Add ROT_N)\n# Python 3.11a1 3450 Use exception table for unwinding (\"zero cost\" exception handling)\n# Python 3.11a1 3451 (Add CALL_METHOD_KW)\n# Python 3.11a1 3452 (drop nlocals from marshaled code objects)\n# Python 3.11a1 3453 (add co_fastlocalnames and co_fastlocalkinds)\n# Python 3.11a1 3454 (compute cell offsets relative to locals bpo-43693)\n# Python 3.11a1 3455 (add MAKE_CELL bpo-43693)\n# Python 3.11a1 3456 (interleave cell args bpo-43693)\n# Python 3.11a1 3457 (Change localsplus to a bytes object bpo-43693)\n# Python 3.11a1 3458 (imported objects now don't use LOAD_METHOD/CALL_METHOD)\n# Python 3.11a1 3459 (PEP 657: add end line numbers and column offsets for instructions)\n# Python 3.11a1 3460 (Add co_qualname field to PyCodeObject bpo-44530)\n# Python 3.11a1 3461 (JUMP_ABSOLUTE must jump backwards)\n# Python 3.11a2 3462 (bpo-44511: remove COPY_DICT_WITHOUT_KEYS, change\n# MATCH_CLASS and MATCH_KEYS, and add COPY)\n# Python 3.11a3 3463 (bpo-45711: JUMP_IF_NOT_EXC_MATCH no longer pops the\n# active exception)\n# Python 3.11a3 3464 (bpo-45636: Merge numeric BINARY_*/INPLACE_* into\n# BINARY_OP)\n# Python 3.11a3 3465 (Add COPY_FREE_VARS opcode)\n# Python 3.11a4 3466 (bpo-45292: PEP-654 except*)\n# Python 3.11a4 3467 (Change CALL_xxx opcodes)\n# Python 3.11a4 3468 (Add SEND opcode)\n# Python 3.11a4 3469 (bpo-45711: remove type, traceback from exc_info)\n# Python 3.11a4 3470 (bpo-46221: PREP_RERAISE_STAR no longer pushes lasti)\n# Python 3.11a4 3471 (bpo-46202: remove pop POP_EXCEPT_AND_RERAISE)\n# Python 3.11a4 3472 (bpo-46009: replace GEN_START with POP_TOP)\n# Python 3.11a4 3473 (Add POP_JUMP_IF_NOT_NONE/POP_JUMP_IF_NONE opcodes)\n# Python 3.11a4 3474 (Add RESUME opcode)\n# Python 3.11a5 3475 (Add RETURN_GENERATOR opcode)\n# Python 3.11a5 3476 (Add ASYNC_GEN_WRAP opcode)\n# Python 3.11a5 3477 (Replace DUP_TOP/DUP_TOP_TWO with COPY and\n# ROT_TWO/ROT_THREE/ROT_FOUR/ROT_N with SWAP)\n# Python 3.11a5 3478 (New CALL opcodes)\n# Python 3.11a5 3479 (Add PUSH_NULL opcode)\n# Python 3.11a5 3480 (New CALL opcodes, second iteration)\n# Python 3.11a5 3481 (Use inline cache for BINARY_OP)\n# Python 3.11a5 3482 (Use inline caching for UNPACK_SEQUENCE and LOAD_GLOBAL)\n# Python 3.11a5 3483 (Use inline caching for COMPARE_OP and BINARY_SUBSCR)\n# Python 3.11a5 3484 (Use inline caching for LOAD_ATTR, LOAD_METHOD, and\n# STORE_ATTR)\n# Python 3.11a5 3485 (Add an oparg to GET_AWAITABLE)\n# Python 3.11a6 3486 (Use inline caching for PRECALL and CALL)\n# Python 3.11a6 3487 (Remove the adaptive \"oparg counter\" mechanism)\n# Python 3.11a6 3488 (LOAD_GLOBAL can push additional NULL)\n# Python 3.11a6 3489 (Add JUMP_BACKWARD, remove JUMP_ABSOLUTE)\n# Python 3.11a6 3490 (remove JUMP_IF_NOT_EXC_MATCH, add CHECK_EXC_MATCH)\n# Python 3.11a6 3491 (remove JUMP_IF_NOT_EG_MATCH, add CHECK_EG_MATCH,\n# add JUMP_BACKWARD_NO_INTERRUPT, make JUMP_NO_INTERRUPT virtual)\n# Python 3.11a7 3492 (make POP_JUMP_IF_NONE/NOT_NONE/TRUE/FALSE relative)\n# Python 3.11a7 3493 (Make JUMP_IF_TRUE_OR_POP/JUMP_IF_FALSE_OR_POP relative)\n# Python 3.11a7 3494 (New location info table)\n# Python 3.11b4 3495 (Set line number of module's RESUME instr to 0 per PEP 626)\n# Python 3.12a1 3500 (Remove PRECALL opcode)\n# Python 3.12a1 3501 (YIELD_VALUE oparg == stack_depth)\n# Python 3.12a1 3502 (LOAD_FAST_CHECK, no NULL-check in LOAD_FAST)\n# Python 3.12a1 3503 (Shrink LOAD_METHOD cache)\n# Python 3.12a1 3504 (Merge LOAD_METHOD back into LOAD_ATTR)\n# Python 3.12a1 3505 (Specialization/Cache for FOR_ITER)\n# Python 3.12a1 3506 (Add BINARY_SLICE and STORE_SLICE instructions)\n# Python 3.12a1 3507 (Set lineno of module's RESUME to 0)\n# Python 3.12a1 3508 (Add CLEANUP_THROW)\n# Python 3.12a1 3509 (Conditional jumps only jump forward)\n# Python 3.12a2 3510 (FOR_ITER leaves iterator on the stack)\n# Python 3.12a2 3511 (Add STOPITERATION_ERROR instruction)\n# Python 3.12a2 3512 (Remove all unused consts from code objects)\n# Python 3.12a4 3513 (Add CALL_INTRINSIC_1 instruction, removed STOPITERATION_ERROR, PRINT_EXPR, IMPORT_STAR)\n# Python 3.12a4 3514 (Remove ASYNC_GEN_WRAP, LIST_TO_TUPLE, and UNARY_POSITIVE)\n# Python 3.12a5 3515 (Embed jump mask in COMPARE_OP oparg)\n# Python 3.12a5 3516 (Add COMPARE_AND_BRANCH instruction)\n# Python 3.12a5 3517 (Change YIELD_VALUE oparg to exception block depth)\n# Python 3.12a6 3518 (Add RETURN_CONST instruction)\n# Python 3.12a6 3519 (Modify SEND instruction)\n# Python 3.12a6 3520 (Remove PREP_RERAISE_STAR, add CALL_INTRINSIC_2)\n# Python 3.12a7 3521 (Shrink the LOAD_GLOBAL caches)\n# Python 3.12a7 3522 (Removed JUMP_IF_FALSE_OR_POP/JUMP_IF_TRUE_OR_POP)\n# Python 3.12a7 3523 (Convert COMPARE_AND_BRANCH back to COMPARE_OP)\n# Python 3.12a7 3524 (Shrink the BINARY_SUBSCR caches)\n# Python 3.12b1 3525 (Shrink the CALL caches)\n# Python 3.12b1 3526 (Add instrumentation support)\n# Python 3.12b1 3527 (Add LOAD_SUPER_ATTR)\n# Python 3.12b1 3528 (Add LOAD_SUPER_ATTR_METHOD specialization)\n# Python 3.12b1 3529 (Inline list/dict/set comprehensions)\n# Python 3.12b1 3530 (Shrink the LOAD_SUPER_ATTR caches)\n# Python 3.12b1 3531 (Add PEP 695 changes)\n\n# Python 3.13 will start with 3550\n\n# Please don't copy-paste the same pre-release tag for new entries above!!!\n# You should always use the *upcoming* tag. For example, if 3.12a6 came out\n# a week ago, I should put \"Python 3.12a7\" next to my new magic number.\n\n# MAGIC must change whenever the bytecode emitted by the compiler may no\n# longer be understood by older implementations of the eval loop (usually\n# due to the addition of new opcodes).\n#\n# Starting with Python 3.11, Python 3.n starts with magic number 2900+50n.\n#\n# Whenever MAGIC_NUMBER is changed, the ranges in the magic_values array\n# in PC/launcher.c must also be updated.\n\nMAGIC_NUMBER = (3531).to_bytes(2, 'little') + b'\\r\\n'\n\n_RAW_MAGIC_NUMBER = int.from_bytes(MAGIC_NUMBER, 'little') # For import.c\n\n_PYCACHE = '__pycache__'\n_OPT = 'opt-'\n\nSOURCE_SUFFIXES = ['.py']\nif _MS_WINDOWS:\n SOURCE_SUFFIXES.append('.pyw')\n\nEXTENSION_SUFFIXES = _imp.extension_suffixes()\n\nBYTECODE_SUFFIXES = ['.pyc']\n# Deprecated.\nDEBUG_BYTECODE_SUFFIXES = OPTIMIZED_BYTECODE_SUFFIXES = BYTECODE_SUFFIXES\n\ndef cache_from_source(path, debug_override=None, *, optimization=None):\n \"\"\"Given the path to a .py file, return the path to its .pyc file.\n\n The .py file does not need to exist; this simply returns the path to the\n .pyc file calculated as if the .py file were imported.\n\n The 'optimization' parameter controls the presumed optimization level of\n the bytecode file. If 'optimization' is not None, the string representation\n of the argument is taken and verified to be alphanumeric (else ValueError\n is raised).\n\n The debug_override parameter is deprecated. If debug_override is not None,\n a True value is the same as setting 'optimization' to the empty string\n while a False value is equivalent to setting 'optimization' to '1'.\n\n If sys.implementation.cache_tag is None then NotImplementedError is raised.\n\n \"\"\"\n if debug_override is not None:\n _warnings.warn('the debug_override parameter is deprecated; use '\n \"'optimization' instead\", DeprecationWarning)\n if optimization is not None:\n message = 'debug_override or optimization must be set to None'\n raise TypeError(message)\n optimization = '' if debug_override else 1\n path = _os.fspath(path)\n head, tail = _path_split(path)\n base, sep, rest = tail.rpartition('.')\n tag = sys.implementation.cache_tag\n if tag is None:\n raise NotImplementedError('sys.implementation.cache_tag is None')\n almost_filename = ''.join([(base if base else rest), sep, tag])\n if optimization is None:\n if sys.flags.optimize == 0:\n optimization = ''\n else:\n optimization = sys.flags.optimize\n optimization = str(optimization)\n if optimization != '':\n if not optimization.isalnum():\n raise ValueError(f'{optimization!r} is not alphanumeric')\n almost_filename = f'{almost_filename}.{_OPT}{optimization}'\n filename = almost_filename + BYTECODE_SUFFIXES[0]\n if sys.pycache_prefix is not None:\n # We need an absolute path to the py file to avoid the possibility of\n # collisions within sys.pycache_prefix, if someone has two different\n # `foo/bar.py` on their system and they import both of them using the\n # same sys.pycache_prefix. Let's say sys.pycache_prefix is\n # `C:\\Bytecode`; the idea here is that if we get `Foo\\Bar`, we first\n # make it absolute (`C:\\Somewhere\\Foo\\Bar`), then make it root-relative\n # (`Somewhere\\Foo\\Bar`), so we end up placing the bytecode file in an\n # unambiguous `C:\\Bytecode\\Somewhere\\Foo\\Bar\\`.\n head = _path_abspath(head)\n\n # Strip initial drive from a Windows path. We know we have an absolute\n # path here, so the second part of the check rules out a POSIX path that\n # happens to contain a colon at the second character.\n if head[1] == ':' and head[0] not in path_separators:\n head = head[2:]\n\n # Strip initial path separator from `head` to complete the conversion\n # back to a root-relative path before joining.\n return _path_join(\n sys.pycache_prefix,\n head.lstrip(path_separators),\n filename,\n )\n return _path_join(head, _PYCACHE, filename)\n\n\ndef source_from_cache(path):\n \"\"\"Given the path to a .pyc. file, return the path to its .py file.\n\n The .pyc file does not need to exist; this simply returns the path to\n the .py file calculated to correspond to the .pyc file. If path does\n not conform to PEP 3147/488 format, ValueError will be raised. If\n sys.implementation.cache_tag is None then NotImplementedError is raised.\n\n \"\"\"\n if sys.implementation.cache_tag is None:\n raise NotImplementedError('sys.implementation.cache_tag is None')\n path = _os.fspath(path)\n head, pycache_filename = _path_split(path)\n found_in_pycache_prefix = False\n if sys.pycache_prefix is not None:\n stripped_path = sys.pycache_prefix.rstrip(path_separators)\n if head.startswith(stripped_path + path_sep):\n head = head[len(stripped_path):]\n found_in_pycache_prefix = True\n if not found_in_pycache_prefix:\n head, pycache = _path_split(head)\n if pycache != _PYCACHE:\n raise ValueError(f'{_PYCACHE} not bottom-level directory in '\n f'{path!r}')\n dot_count = pycache_filename.count('.')\n if dot_count not in {2, 3}:\n raise ValueError(f'expected only 2 or 3 dots in {pycache_filename!r}')\n elif dot_count == 3:\n optimization = pycache_filename.rsplit('.', 2)[-2]\n if not optimization.startswith(_OPT):\n raise ValueError(\"optimization portion of filename does not start \"\n f\"with {_OPT!r}\")\n opt_level = optimization[len(_OPT):]\n if not opt_level.isalnum():\n raise ValueError(f\"optimization level {optimization!r} is not an \"\n \"alphanumeric value\")\n base_filename = pycache_filename.partition('.')[0]\n return _path_join(head, base_filename + SOURCE_SUFFIXES[0])\n\n\ndef _get_sourcefile(bytecode_path):\n \"\"\"Convert a bytecode file path to a source path (if possible).\n\n This function exists purely for backwards-compatibility for\n PyImport_ExecCodeModuleWithFilenames() in the C API.\n\n \"\"\"\n if len(bytecode_path) == 0:\n return None\n rest, _, extension = bytecode_path.rpartition('.')\n if not rest or extension.lower()[-3:-1] != 'py':\n return bytecode_path\n try:\n source_path = source_from_cache(bytecode_path)\n except (NotImplementedError, ValueError):\n source_path = bytecode_path[:-1]\n return source_path if _path_isfile(source_path) else bytecode_path\n\n\ndef _get_cached(filename):\n if filename.endswith(tuple(SOURCE_SUFFIXES)):\n try:\n return cache_from_source(filename)\n except NotImplementedError:\n pass\n elif filename.endswith(tuple(BYTECODE_SUFFIXES)):\n return filename\n else:\n return None\n\n\ndef _calc_mode(path):\n \"\"\"Calculate the mode permissions for a bytecode file.\"\"\"\n try:\n mode = _path_stat(path).st_mode\n except OSError:\n mode = 0o666\n # We always ensure write access so we can update cached files\n # later even when the source files are read-only on Windows (#6074)\n mode |= 0o200\n return mode\n\n\ndef _check_name(method):\n \"\"\"Decorator to verify that the module being requested matches the one the\n loader can handle.\n\n The first argument (self) must define _name which the second argument is\n compared against. If the comparison fails then ImportError is raised.\n\n \"\"\"\n def _check_name_wrapper(self, name=None, *args, **kwargs):\n if name is None:\n name = self.name\n elif self.name != name:\n raise ImportError('loader for %s cannot handle %s' %\n (self.name, name), name=name)\n return method(self, name, *args, **kwargs)\n\n # FIXME: @_check_name is used to define class methods before the\n # _bootstrap module is set by _set_bootstrap_module().\n if _bootstrap is not None:\n _wrap = _bootstrap._wrap\n else:\n def _wrap(new, old):\n for replace in ['__module__', '__name__', '__qualname__', '__doc__']:\n if hasattr(old, replace):\n setattr(new, replace, getattr(old, replace))\n new.__dict__.update(old.__dict__)\n\n _wrap(_check_name_wrapper, method)\n return _check_name_wrapper\n\n\ndef _classify_pyc(data, name, exc_details):\n \"\"\"Perform basic validity checking of a pyc header and return the flags field,\n which determines how the pyc should be further validated against the source.\n\n *data* is the contents of the pyc file. (Only the first 16 bytes are\n required, though.)\n\n *name* is the name of the module being imported. It is used for logging.\n\n *exc_details* is a dictionary passed to ImportError if it raised for\n improved debugging.\n\n ImportError is raised when the magic number is incorrect or when the flags\n field is invalid. EOFError is raised when the data is found to be truncated.\n\n \"\"\"\n magic = data[:4]\n if magic != MAGIC_NUMBER:\n message = f'bad magic number in {name!r}: {magic!r}'\n _bootstrap._verbose_message('{}', message)\n raise ImportError(message, **exc_details)\n if len(data) < 16:\n message = f'reached EOF while reading pyc header of {name!r}'\n _bootstrap._verbose_message('{}', message)\n raise EOFError(message)\n flags = _unpack_uint32(data[4:8])\n # Only the first two flags are defined.\n if flags & ~0b11:\n message = f'invalid flags {flags!r} in {name!r}'\n raise ImportError(message, **exc_details)\n return flags\n\n\ndef _validate_timestamp_pyc(data, source_mtime, source_size, name,\n exc_details):\n \"\"\"Validate a pyc against the source last-modified time.\n\n *data* is the contents of the pyc file. (Only the first 16 bytes are\n required.)\n\n *source_mtime* is the last modified timestamp of the source file.\n\n *source_size* is None or the size of the source file in bytes.\n\n *name* is the name of the module being imported. It is used for logging.\n\n *exc_details* is a dictionary passed to ImportError if it raised for\n improved debugging.\n\n An ImportError is raised if the bytecode is stale.\n\n \"\"\"\n if _unpack_uint32(data[8:12]) != (source_mtime & 0xFFFFFFFF):\n message = f'bytecode is stale for {name!r}'\n _bootstrap._verbose_message('{}', message)\n raise ImportError(message, **exc_details)\n if (source_size is not None and\n _unpack_uint32(data[12:16]) != (source_size & 0xFFFFFFFF)):\n raise ImportError(f'bytecode is stale for {name!r}', **exc_details)\n\n\ndef _validate_hash_pyc(data, source_hash, name, exc_details):\n \"\"\"Validate a hash-based pyc by checking the real source hash against the one in\n the pyc header.\n\n *data* is the contents of the pyc file. (Only the first 16 bytes are\n required.)\n\n *source_hash* is the importlib.util.source_hash() of the source file.\n\n *name* is the name of the module being imported. It is used for logging.\n\n *exc_details* is a dictionary passed to ImportError if it raised for\n improved debugging.\n\n An ImportError is raised if the bytecode is stale.\n\n \"\"\"\n if data[8:16] != source_hash:\n raise ImportError(\n f'hash in bytecode doesn\\'t match hash of source {name!r}',\n **exc_details,\n )\n\n\ndef _compile_bytecode(data, name=None, bytecode_path=None, source_path=None):\n \"\"\"Compile bytecode as found in a pyc.\"\"\"\n code = marshal.loads(data)\n if isinstance(code, _code_type):\n _bootstrap._verbose_message('code object from {!r}', bytecode_path)\n if source_path is not None:\n _imp._fix_co_filename(code, source_path)\n return code\n else:\n raise ImportError(f'Non-code object in {bytecode_path!r}',\n name=name, path=bytecode_path)\n\n\ndef _code_to_timestamp_pyc(code, mtime=0, source_size=0):\n \"Produce the data for a timestamp-based pyc.\"\n data = bytearray(MAGIC_NUMBER)\n data.extend(_pack_uint32(0))\n data.extend(_pack_uint32(mtime))\n data.extend(_pack_uint32(source_size))\n data.extend(marshal.dumps(code))\n return data\n\n\ndef _code_to_hash_pyc(code, source_hash, checked=True):\n \"Produce the data for a hash-based pyc.\"\n data = bytearray(MAGIC_NUMBER)\n flags = 0b1 | checked << 1\n data.extend(_pack_uint32(flags))\n assert len(source_hash) == 8\n data.extend(source_hash)\n data.extend(marshal.dumps(code))\n return data\n\n\ndef decode_source(source_bytes):\n \"\"\"Decode bytes representing source code and return the string.\n\n Universal newline support is used in the decoding.\n \"\"\"\n import tokenize # To avoid bootstrap issues.\n source_bytes_readline = _io.BytesIO(source_bytes).readline\n encoding = tokenize.detect_encoding(source_bytes_readline)\n newline_decoder = _io.IncrementalNewlineDecoder(None, True)\n return newline_decoder.decode(source_bytes.decode(encoding[0]))\n\n\n# Module specifications #######################################################\n\n_POPULATE = object()\n\n\ndef spec_from_file_location(name, location=None, *, loader=None,\n submodule_search_locations=_POPULATE):\n \"\"\"Return a module spec based on a file location.\n\n To indicate that the module is a package, set\n submodule_search_locations to a list of directory paths. An\n empty list is sufficient, though its not otherwise useful to the\n import system.\n\n The loader must take a spec as its only __init__() arg.\n\n \"\"\"\n if location is None:\n # The caller may simply want a partially populated location-\n # oriented spec. So we set the location to a bogus value and\n # fill in as much as we can.\n location = ''\n if hasattr(loader, 'get_filename'):\n # ExecutionLoader\n try:\n location = loader.get_filename(name)\n except ImportError:\n pass\n else:\n location = _os.fspath(location)\n try:\n location = _path_abspath(location)\n except OSError:\n pass\n\n # If the location is on the filesystem, but doesn't actually exist,\n # we could return None here, indicating that the location is not\n # valid. However, we don't have a good way of testing since an\n # indirect location (e.g. a zip file or URL) will look like a\n # non-existent file relative to the filesystem.\n\n spec = _bootstrap.ModuleSpec(name, loader, origin=location)\n spec._set_fileattr = True\n\n # Pick a loader if one wasn't provided.\n if loader is None:\n for loader_class, suffixes in _get_supported_file_loaders():\n if location.endswith(tuple(suffixes)):\n loader = loader_class(name, location)\n spec.loader = loader\n break\n else:\n return None\n\n # Set submodule_search_paths appropriately.\n if submodule_search_locations is _POPULATE:\n # Check the loader.\n if hasattr(loader, 'is_package'):\n try:\n is_package = loader.is_package(name)\n except ImportError:\n pass\n else:\n if is_package:\n spec.submodule_search_locations = []\n else:\n spec.submodule_search_locations = submodule_search_locations\n if spec.submodule_search_locations == []:\n if location:\n dirname = _path_split(location)[0]\n spec.submodule_search_locations.append(dirname)\n\n return spec\n\n\ndef _bless_my_loader(module_globals):\n \"\"\"Helper function for _warnings.c\n\n See GH#97850 for details.\n \"\"\"\n # 2022-10-06(warsaw): For now, this helper is only used in _warnings.c and\n # that use case only has the module globals. This function could be\n # extended to accept either that or a module object. However, in the\n # latter case, it would be better to raise certain exceptions when looking\n # at a module, which should have either a __loader__ or __spec__.loader.\n # For backward compatibility, it is possible that we'll get an empty\n # dictionary for the module globals, and that cannot raise an exception.\n if not isinstance(module_globals, dict):\n return None\n\n missing = object()\n loader = module_globals.get('__loader__', None)\n spec = module_globals.get('__spec__', missing)\n\n if loader is None:\n if spec is missing:\n # If working with a module:\n # raise AttributeError('Module globals is missing a __spec__')\n return None\n elif spec is None:\n raise ValueError('Module globals is missing a __spec__.loader')\n\n spec_loader = getattr(spec, 'loader', missing)\n\n if spec_loader in (missing, None):\n if loader is None:\n exc = AttributeError if spec_loader is missing else ValueError\n raise exc('Module globals is missing a __spec__.loader')\n _warnings.warn(\n 'Module globals is missing a __spec__.loader',\n DeprecationWarning)\n spec_loader = loader\n\n assert spec_loader is not None\n if loader is not None and loader != spec_loader:\n _warnings.warn(\n 'Module globals; __loader__ != __spec__.loader',\n DeprecationWarning)\n return loader\n\n return spec_loader\n\n\n# Loaders #####################################################################\n\nclass WindowsRegistryFinder:\n\n \"\"\"Meta path finder for modules declared in the Windows registry.\"\"\"\n\n REGISTRY_KEY = (\n 'Software\\\\Python\\\\PythonCore\\\\{sys_version}'\n '\\\\Modules\\\\{fullname}')\n REGISTRY_KEY_DEBUG = (\n 'Software\\\\Python\\\\PythonCore\\\\{sys_version}'\n '\\\\Modules\\\\{fullname}\\\\Debug')\n DEBUG_BUILD = (_MS_WINDOWS and '_d.pyd' in EXTENSION_SUFFIXES)\n\n @staticmethod\n def _open_registry(key):\n try:\n return winreg.OpenKey(winreg.HKEY_CURRENT_USER, key)\n except OSError:\n return winreg.OpenKey(winreg.HKEY_LOCAL_MACHINE, key)\n\n @classmethod\n def _search_registry(cls, fullname):\n if cls.DEBUG_BUILD:\n registry_key = cls.REGISTRY_KEY_DEBUG\n else:\n registry_key = cls.REGISTRY_KEY\n key = registry_key.format(fullname=fullname,\n sys_version='%d.%d' % sys.version_info[:2])\n try:\n with cls._open_registry(key) as hkey:\n filepath = winreg.QueryValue(hkey, '')\n except OSError:\n return None\n return filepath\n\n @classmethod\n def find_spec(cls, fullname, path=None, target=None):\n filepath = cls._search_registry(fullname)\n if filepath is None:\n return None\n try:\n _path_stat(filepath)\n except OSError:\n return None\n for loader, suffixes in _get_supported_file_loaders():\n if filepath.endswith(tuple(suffixes)):\n spec = _bootstrap.spec_from_loader(fullname,\n loader(fullname, filepath),\n origin=filepath)\n return spec\n\n\nclass _LoaderBasics:\n\n \"\"\"Base class of common code needed by both SourceLoader and\n SourcelessFileLoader.\"\"\"\n\n def is_package(self, fullname):\n \"\"\"Concrete implementation of InspectLoader.is_package by checking if\n the path returned by get_filename has a filename of '__init__.py'.\"\"\"\n filename = _path_split(self.get_filename(fullname))[1]\n filename_base = filename.rsplit('.', 1)[0]\n tail_name = fullname.rpartition('.')[2]\n return filename_base == '__init__' and tail_name != '__init__'\n\n def create_module(self, spec):\n \"\"\"Use default semantics for module creation.\"\"\"\n\n def exec_module(self, module):\n \"\"\"Execute the module.\"\"\"\n code = self.get_code(module.__name__)\n if code is None:\n raise ImportError(f'cannot load module {module.__name__!r} when '\n 'get_code() returns None')\n _bootstrap._call_with_frames_removed(exec, code, module.__dict__)\n\n def load_module(self, fullname):\n \"\"\"This method is deprecated.\"\"\"\n # Warning implemented in _load_module_shim().\n return _bootstrap._load_module_shim(self, fullname)\n\n\nclass SourceLoader(_LoaderBasics):\n\n def path_mtime(self, path):\n \"\"\"Optional method that returns the modification time (an int) for the\n specified path (a str).\n\n Raises OSError when the path cannot be handled.\n \"\"\"\n raise OSError\n\n def path_stats(self, path):\n \"\"\"Optional method returning a metadata dict for the specified\n path (a str).\n\n Possible keys:\n - 'mtime' (mandatory) is the numeric timestamp of last source\n code modification;\n - 'size' (optional) is the size in bytes of the source code.\n\n Implementing this method allows the loader to read bytecode files.\n Raises OSError when the path cannot be handled.\n \"\"\"\n return {'mtime': self.path_mtime(path)}\n\n def _cache_bytecode(self, source_path, cache_path, data):\n \"\"\"Optional method which writes data (bytes) to a file path (a str).\n\n Implementing this method allows for the writing of bytecode files.\n\n The source path is needed in order to correctly transfer permissions\n \"\"\"\n # For backwards compatibility, we delegate to set_data()\n return self.set_data(cache_path, data)\n\n def set_data(self, path, data):\n \"\"\"Optional method which writes data (bytes) to a file path (a str).\n\n Implementing this method allows for the writing of bytecode files.\n \"\"\"\n\n\n def get_source(self, fullname):\n \"\"\"Concrete implementation of InspectLoader.get_source.\"\"\"\n path = self.get_filename(fullname)\n try:\n source_bytes = self.get_data(path)\n except OSError as exc:\n raise ImportError('source not available through get_data()',\n name=fullname) from exc\n return decode_source(source_bytes)\n\n def source_to_code(self, data, path, *, _optimize=-1):\n \"\"\"Return the code object compiled from source.\n\n The 'data' argument can be any object type that compile() supports.\n \"\"\"\n return _bootstrap._call_with_frames_removed(compile, data, path, 'exec',\n dont_inherit=True, optimize=_optimize)\n\n def get_code(self, fullname):\n \"\"\"Concrete implementation of InspectLoader.get_code.\n\n Reading of bytecode requires path_stats to be implemented. To write\n bytecode, set_data must also be implemented.\n\n \"\"\"\n source_path = self.get_filename(fullname)\n source_mtime = None\n source_bytes = None\n source_hash = None\n hash_based = False\n check_source = True\n try:\n bytecode_path = cache_from_source(source_path)\n except NotImplementedError:\n bytecode_path = None\n else:\n try:\n st = self.path_stats(source_path)\n except OSError:\n pass\n else:\n source_mtime = int(st['mtime'])\n try:\n data = self.get_data(bytecode_path)\n except OSError:\n pass\n else:\n exc_details = {\n 'name': fullname,\n 'path': bytecode_path,\n }\n try:\n flags = _classify_pyc(data, fullname, exc_details)\n bytes_data = memoryview(data)[16:]\n hash_based = flags & 0b1 != 0\n if hash_based:\n check_source = flags & 0b10 != 0\n if (_imp.check_hash_based_pycs != 'never' and\n (check_source or\n _imp.check_hash_based_pycs == 'always')):\n source_bytes = self.get_data(source_path)\n source_hash = _imp.source_hash(\n _RAW_MAGIC_NUMBER,\n source_bytes,\n )\n _validate_hash_pyc(data, source_hash, fullname,\n exc_details)\n else:\n _validate_timestamp_pyc(\n data,\n source_mtime,\n st['size'],\n fullname,\n exc_details,\n )\n except (ImportError, EOFError):\n pass\n else:\n _bootstrap._verbose_message('{} matches {}', bytecode_path,\n source_path)\n return _compile_bytecode(bytes_data, name=fullname,\n bytecode_path=bytecode_path,\n source_path=source_path)\n if source_bytes is None:\n source_bytes = self.get_data(source_path)\n code_object = self.source_to_code(source_bytes, source_path)\n _bootstrap._verbose_message('code object from {}', source_path)\n if (not sys.dont_write_bytecode and bytecode_path is not None and\n source_mtime is not None):\n if hash_based:\n if source_hash is None:\n source_hash = _imp.source_hash(_RAW_MAGIC_NUMBER,\n source_bytes)\n data = _code_to_hash_pyc(code_object, source_hash, check_source)\n else:\n data = _code_to_timestamp_pyc(code_object, source_mtime,\n len(source_bytes))\n try:\n self._cache_bytecode(source_path, bytecode_path, data)\n except NotImplementedError:\n pass\n return code_object\n\n\nclass FileLoader:\n\n \"\"\"Base file loader class which implements the loader protocol methods that\n require file system usage.\"\"\"\n\n def __init__(self, fullname, path):\n \"\"\"Cache the module name and the path to the file found by the\n finder.\"\"\"\n self.name = fullname\n self.path = path\n\n def __eq__(self, other):\n return (self.__class__ == other.__class__ and\n self.__dict__ == other.__dict__)\n\n def __hash__(self):\n return hash(self.name) ^ hash(self.path)\n\n @_check_name\n def load_module(self, fullname):\n \"\"\"Load a module from a file.\n\n This method is deprecated. Use exec_module() instead.\n\n \"\"\"\n # The only reason for this method is for the name check.\n # Issue #14857: Avoid the zero-argument form of super so the implementation\n # of that form can be updated without breaking the frozen module.\n return super(FileLoader, self).load_module(fullname)\n\n @_check_name\n def get_filename(self, fullname):\n \"\"\"Return the path to the source file as found by the finder.\"\"\"\n return self.path\n\n def get_data(self, path):\n \"\"\"Return the data from path as raw bytes.\"\"\"\n if isinstance(self, (SourceLoader, ExtensionFileLoader)):\n with _io.open_code(str(path)) as file:\n return file.read()\n else:\n with _io.FileIO(path, 'r') as file:\n return file.read()\n\n @_check_name\n def get_resource_reader(self, module):\n from importlib.readers import FileReader\n return FileReader(self)\n\n\nclass SourceFileLoader(FileLoader, SourceLoader):\n\n \"\"\"Concrete implementation of SourceLoader using the file system.\"\"\"\n\n def path_stats(self, path):\n \"\"\"Return the metadata for the path.\"\"\"\n st = _path_stat(path)\n return {'mtime': st.st_mtime, 'size': st.st_size}\n\n def _cache_bytecode(self, source_path, bytecode_path, data):\n # Adapt between the two APIs\n mode = _calc_mode(source_path)\n return self.set_data(bytecode_path, data, _mode=mode)\n\n def set_data(self, path, data, *, _mode=0o666):\n \"\"\"Write bytes data to a file.\"\"\"\n parent, filename = _path_split(path)\n path_parts = []\n # Figure out what directories are missing.\n while parent and not _path_isdir(parent):\n parent, part = _path_split(parent)\n path_parts.append(part)\n # Create needed directories.\n for part in reversed(path_parts):\n parent = _path_join(parent, part)\n try:\n _os.mkdir(parent)\n except FileExistsError:\n # Probably another Python process already created the dir.\n continue\n except OSError as exc:\n # Could be a permission error, read-only filesystem: just forget\n # about writing the data.\n _bootstrap._verbose_message('could not create {!r}: {!r}',\n parent, exc)\n return\n try:\n _write_atomic(path, data, _mode)\n _bootstrap._verbose_message('created {!r}', path)\n except OSError as exc:\n # Same as above: just don't write the bytecode.\n _bootstrap._verbose_message('could not create {!r}: {!r}', path,\n exc)\n\n\nclass SourcelessFileLoader(FileLoader, _LoaderBasics):\n\n \"\"\"Loader which handles sourceless file imports.\"\"\"\n\n def get_code(self, fullname):\n path = self.get_filename(fullname)\n data = self.get_data(path)\n # Call _classify_pyc to do basic validation of the pyc but ignore the\n # result. There's no source to check against.\n exc_details = {\n 'name': fullname,\n 'path': path,\n }\n _classify_pyc(data, fullname, exc_details)\n return _compile_bytecode(\n memoryview(data)[16:],\n name=fullname,\n bytecode_path=path,\n )\n\n def get_source(self, fullname):\n \"\"\"Return None as there is no source code.\"\"\"\n return None\n\n\nclass ExtensionFileLoader(FileLoader, _LoaderBasics):\n\n \"\"\"Loader for extension modules.\n\n The constructor is designed to work with FileFinder.\n\n \"\"\"\n\n def __init__(self, name, path):\n self.name = name\n self.path = path\n\n def __eq__(self, other):\n return (self.__class__ == other.__class__ and\n self.__dict__ == other.__dict__)\n\n def __hash__(self):\n return hash(self.name) ^ hash(self.path)\n\n def create_module(self, spec):\n \"\"\"Create an uninitialized extension module\"\"\"\n module = _bootstrap._call_with_frames_removed(\n _imp.create_dynamic, spec)\n _bootstrap._verbose_message('extension module {!r} loaded from {!r}',\n spec.name, self.path)\n return module\n\n def exec_module(self, module):\n \"\"\"Initialize an extension module\"\"\"\n _bootstrap._call_with_frames_removed(_imp.exec_dynamic, module)\n _bootstrap._verbose_message('extension module {!r} executed from {!r}',\n self.name, self.path)\n\n def is_package(self, fullname):\n \"\"\"Return True if the extension module is a package.\"\"\"\n file_name = _path_split(self.path)[1]\n return any(file_name == '__init__' + suffix\n for suffix in EXTENSION_SUFFIXES)\n\n def get_code(self, fullname):\n \"\"\"Return None as an extension module cannot create a code object.\"\"\"\n return None\n\n def get_source(self, fullname):\n \"\"\"Return None as extension modules have no source code.\"\"\"\n return None\n\n @_check_name\n def get_filename(self, fullname):\n \"\"\"Return the path to the source file as found by the finder.\"\"\"\n return self.path\n\n\nclass _NamespacePath:\n \"\"\"Represents a namespace package's path. It uses the module name\n to find its parent module, and from there it looks up the parent's\n __path__. When this changes, the module's own path is recomputed,\n using path_finder. For top-level modules, the parent module's path\n is sys.path.\"\"\"\n\n # When invalidate_caches() is called, this epoch is incremented\n # https://bugs.python.org/issue45703\n _epoch = 0\n\n def __init__(self, name, path, path_finder):\n self._name = name\n self._path = path\n self._last_parent_path = tuple(self._get_parent_path())\n self._last_epoch = self._epoch\n self._path_finder = path_finder\n\n def _find_parent_path_names(self):\n \"\"\"Returns a tuple of (parent-module-name, parent-path-attr-name)\"\"\"\n parent, dot, me = self._name.rpartition('.')\n if dot == '':\n # This is a top-level module. sys.path contains the parent path.\n return 'sys', 'path'\n # Not a top-level module. parent-module.__path__ contains the\n # parent path.\n return parent, '__path__'\n\n def _get_parent_path(self):\n parent_module_name, path_attr_name = self._find_parent_path_names()\n return getattr(sys.modules[parent_module_name], path_attr_name)\n\n def _recalculate(self):\n # If the parent's path has changed, recalculate _path\n parent_path = tuple(self._get_parent_path()) # Make a copy\n if parent_path != self._last_parent_path or self._epoch != self._last_epoch:\n spec = self._path_finder(self._name, parent_path)\n # Note that no changes are made if a loader is returned, but we\n # do remember the new parent path\n if spec is not None and spec.loader is None:\n if spec.submodule_search_locations:\n self._path = spec.submodule_search_locations\n self._last_parent_path = parent_path # Save the copy\n self._last_epoch = self._epoch\n return self._path\n\n def __iter__(self):\n return iter(self._recalculate())\n\n def __getitem__(self, index):\n return self._recalculate()[index]\n\n def __setitem__(self, index, path):\n self._path[index] = path\n\n def __len__(self):\n return len(self._recalculate())\n\n def __repr__(self):\n return f'_NamespacePath({self._path!r})'\n\n def __contains__(self, item):\n return item in self._recalculate()\n\n def append(self, item):\n self._path.append(item)\n\n\n# This class is actually exposed publicly in a namespace package's __loader__\n# attribute, so it should be available through a non-private name.\n# https://github.com/python/cpython/issues/92054\nclass NamespaceLoader:\n def __init__(self, name, path, path_finder):\n self._path = _NamespacePath(name, path, path_finder)\n\n def is_package(self, fullname):\n return True\n\n def get_source(self, fullname):\n return ''\n\n def get_code(self, fullname):\n return compile('', '', 'exec', dont_inherit=True)\n\n def create_module(self, spec):\n \"\"\"Use default semantics for module creation.\"\"\"\n\n def exec_module(self, module):\n pass\n\n def load_module(self, fullname):\n \"\"\"Load a namespace module.\n\n This method is deprecated. Use exec_module() instead.\n\n \"\"\"\n # The import system never calls this method.\n _bootstrap._verbose_message('namespace module loaded with path {!r}',\n self._path)\n # Warning implemented in _load_module_shim().\n return _bootstrap._load_module_shim(self, fullname)\n\n def get_resource_reader(self, module):\n from importlib.readers import NamespaceReader\n return NamespaceReader(self._path)\n\n\n# We use this exclusively in module_from_spec() for backward-compatibility.\n_NamespaceLoader = NamespaceLoader\n\n\n# Finders #####################################################################\n\nclass PathFinder:\n\n \"\"\"Meta path finder for sys.path and package __path__ attributes.\"\"\"\n\n @staticmethod\n def invalidate_caches():\n \"\"\"Call the invalidate_caches() method on all path entry finders\n stored in sys.path_importer_caches (where implemented).\"\"\"\n for name, finder in list(sys.path_importer_cache.items()):\n # Drop entry if finder name is a relative path. The current\n # working directory may have changed.\n if finder is None or not _path_isabs(name):\n del sys.path_importer_cache[name]\n elif hasattr(finder, 'invalidate_caches'):\n finder.invalidate_caches()\n # Also invalidate the caches of _NamespacePaths\n # https://bugs.python.org/issue45703\n _NamespacePath._epoch += 1\n\n from importlib.metadata import MetadataPathFinder\n MetadataPathFinder.invalidate_caches()\n\n @staticmethod\n def _path_hooks(path):\n \"\"\"Search sys.path_hooks for a finder for 'path'.\"\"\"\n if sys.path_hooks is not None and not sys.path_hooks:\n _warnings.warn('sys.path_hooks is empty', ImportWarning)\n for hook in sys.path_hooks:\n try:\n return hook(path)\n except ImportError:\n continue\n else:\n return None\n\n @classmethod\n def _path_importer_cache(cls, path):\n \"\"\"Get the finder for the path entry from sys.path_importer_cache.\n\n If the path entry is not in the cache, find the appropriate finder\n and cache it. If no finder is available, store None.\n\n \"\"\"\n if path == '':\n try:\n path = _os.getcwd()\n except FileNotFoundError:\n # Don't cache the failure as the cwd can easily change to\n # a valid directory later on.\n return None\n try:\n finder = sys.path_importer_cache[path]\n except KeyError:\n finder = cls._path_hooks(path)\n sys.path_importer_cache[path] = finder\n return finder\n\n @classmethod\n def _get_spec(cls, fullname, path, target=None):\n \"\"\"Find the loader or namespace_path for this module/package name.\"\"\"\n # If this ends up being a namespace package, namespace_path is\n # the list of paths that will become its __path__\n namespace_path = []\n for entry in path:\n if not isinstance(entry, str):\n continue\n finder = cls._path_importer_cache(entry)\n if finder is not None:\n spec = finder.find_spec(fullname, target)\n if spec is None:\n continue\n if spec.loader is not None:\n return spec\n portions = spec.submodule_search_locations\n if portions is None:\n raise ImportError('spec missing loader')\n # This is possibly part of a namespace package.\n # Remember these path entries (if any) for when we\n # create a namespace package, and continue iterating\n # on path.\n namespace_path.extend(portions)\n else:\n spec = _bootstrap.ModuleSpec(fullname, None)\n spec.submodule_search_locations = namespace_path\n return spec\n\n @classmethod\n def find_spec(cls, fullname, path=None, target=None):\n \"\"\"Try to find a spec for 'fullname' on sys.path or 'path'.\n\n The search is based on sys.path_hooks and sys.path_importer_cache.\n \"\"\"\n if path is None:\n path = sys.path\n spec = cls._get_spec(fullname, path, target)\n if spec is None:\n return None\n elif spec.loader is None:\n namespace_path = spec.submodule_search_locations\n if namespace_path:\n # We found at least one namespace path. Return a spec which\n # can create the namespace package.\n spec.origin = None\n spec.submodule_search_locations = _NamespacePath(fullname, namespace_path, cls._get_spec)\n return spec\n else:\n return None\n else:\n return spec\n\n @staticmethod\n def find_distributions(*args, **kwargs):\n \"\"\"\n Find distributions.\n\n Return an iterable of all Distribution instances capable of\n loading the metadata for packages matching ``context.name``\n (or all names if ``None`` indicated) along the paths in the list\n of directories ``context.path``.\n \"\"\"\n from importlib.metadata import MetadataPathFinder\n return MetadataPathFinder.find_distributions(*args, **kwargs)\n\n\nclass FileFinder:\n\n \"\"\"File-based finder.\n\n Interactions with the file system are cached for performance, being\n refreshed when the directory the finder is handling has been modified.\n\n \"\"\"\n\n def __init__(self, path, *loader_details):\n \"\"\"Initialize with the path to search on and a variable number of\n 2-tuples containing the loader and the file suffixes the loader\n recognizes.\"\"\"\n loaders = []\n for loader, suffixes in loader_details:\n loaders.extend((suffix, loader) for suffix in suffixes)\n self._loaders = loaders\n # Base (directory) path\n if not path or path == '.':\n self.path = _os.getcwd()\n else:\n self.path = _path_abspath(path)\n self._path_mtime = -1\n self._path_cache = set()\n self._relaxed_path_cache = set()\n\n def invalidate_caches(self):\n \"\"\"Invalidate the directory mtime.\"\"\"\n self._path_mtime = -1\n\n def _get_spec(self, loader_class, fullname, path, smsl, target):\n loader = loader_class(fullname, path)\n return spec_from_file_location(fullname, path, loader=loader,\n submodule_search_locations=smsl)\n\n def find_spec(self, fullname, target=None):\n \"\"\"Try to find a spec for the specified module.\n\n Returns the matching spec, or None if not found.\n \"\"\"\n is_namespace = False\n tail_module = fullname.rpartition('.')[2]\n try:\n mtime = _path_stat(self.path or _os.getcwd()).st_mtime\n except OSError:\n mtime = -1\n if mtime != self._path_mtime:\n self._fill_cache()\n self._path_mtime = mtime\n # tail_module keeps the original casing, for __file__ and friends\n if _relax_case():\n cache = self._relaxed_path_cache\n cache_module = tail_module.lower()\n else:\n cache = self._path_cache\n cache_module = tail_module\n # Check if the module is the name of a directory (and thus a package).\n if cache_module in cache:\n base_path = _path_join(self.path, tail_module)\n for suffix, loader_class in self._loaders:\n init_filename = '__init__' + suffix\n full_path = _path_join(base_path, init_filename)\n if _path_isfile(full_path):\n return self._get_spec(loader_class, fullname, full_path, [base_path], target)\n else:\n # If a namespace package, return the path if we don't\n # find a module in the next section.\n is_namespace = _path_isdir(base_path)\n # Check for a file w/ a proper suffix exists.\n for suffix, loader_class in self._loaders:\n try:\n full_path = _path_join(self.path, tail_module + suffix)\n except ValueError:\n return None\n _bootstrap._verbose_message('trying {}', full_path, verbosity=2)\n if cache_module + suffix in cache:\n if _path_isfile(full_path):\n return self._get_spec(loader_class, fullname, full_path,\n None, target)\n if is_namespace:\n _bootstrap._verbose_message('possible namespace for {}', base_path)\n spec = _bootstrap.ModuleSpec(fullname, None)\n spec.submodule_search_locations = [base_path]\n return spec\n return None\n\n def _fill_cache(self):\n \"\"\"Fill the cache of potential modules and packages for this directory.\"\"\"\n path = self.path\n try:\n contents = _os.listdir(path or _os.getcwd())\n except (FileNotFoundError, PermissionError, NotADirectoryError):\n # Directory has either been removed, turned into a file, or made\n # unreadable.\n contents = []\n # We store two cached versions, to handle runtime changes of the\n # PYTHONCASEOK environment variable.\n if not sys.platform.startswith('win'):\n self._path_cache = set(contents)\n else:\n # Windows users can import modules with case-insensitive file\n # suffixes (for legacy reasons). Make the suffix lowercase here\n # so it's done once instead of for every import. This is safe as\n # the specified suffixes to check against are always specified in a\n # case-sensitive manner.\n lower_suffix_contents = set()\n for item in contents:\n name, dot, suffix = item.partition('.')\n if dot:\n new_name = f'{name}.{suffix.lower()}'\n else:\n new_name = name\n lower_suffix_contents.add(new_name)\n self._path_cache = lower_suffix_contents\n if sys.platform.startswith(_CASE_INSENSITIVE_PLATFORMS):\n self._relaxed_path_cache = {fn.lower() for fn in contents}\n\n @classmethod\n def path_hook(cls, *loader_details):\n \"\"\"A class method which returns a closure to use on sys.path_hook\n which will return an instance using the specified loaders and the path\n called on the closure.\n\n If the path called on the closure is not a directory, ImportError is\n raised.\n\n \"\"\"\n def path_hook_for_FileFinder(path):\n \"\"\"Path hook for importlib.machinery.FileFinder.\"\"\"\n if not _path_isdir(path):\n raise ImportError('only directories are supported', path=path)\n return cls(path, *loader_details)\n\n return path_hook_for_FileFinder\n\n def __repr__(self):\n return f'FileFinder({self.path!r})'\n\n\n# Import setup ###############################################################\n\ndef _fix_up_module(ns, name, pathname, cpathname=None):\n # This function is used by PyImport_ExecCodeModuleObject().\n loader = ns.get('__loader__')\n spec = ns.get('__spec__')\n if not loader:\n if spec:\n loader = spec.loader\n elif pathname == cpathname:\n loader = SourcelessFileLoader(name, pathname)\n else:\n loader = SourceFileLoader(name, pathname)\n if not spec:\n spec = spec_from_file_location(name, pathname, loader=loader)\n if cpathname:\n spec.cached = _path_abspath(cpathname)\n try:\n ns['__spec__'] = spec\n ns['__loader__'] = loader\n ns['__file__'] = pathname\n ns['__cached__'] = cpathname\n except Exception:\n # Not important enough to report.\n pass\n\n\ndef _get_supported_file_loaders():\n \"\"\"Returns a list of file-based module loaders.\n\n Each item is a tuple (loader, suffixes).\n \"\"\"\n extensions = ExtensionFileLoader, _imp.extension_suffixes()\n source = SourceFileLoader, SOURCE_SUFFIXES\n bytecode = SourcelessFileLoader, BYTECODE_SUFFIXES\n return [extensions, source, bytecode]\n\n\ndef _set_bootstrap_module(_bootstrap_module):\n global _bootstrap\n _bootstrap = _bootstrap_module\n\n\ndef _install(_bootstrap_module):\n \"\"\"Install the path-based import components.\"\"\"\n _set_bootstrap_module(_bootstrap_module)\n supported_loaders = _get_supported_file_loaders()\n sys.path_hooks.extend([FileFinder.path_hook(*supported_loaders)])\n sys.meta_path.append(PathFinder)\n", 1745], "/usr/lib/python3.12/heapq.py": ["\"\"\"Heap queue algorithm (a.k.a. priority queue).\n\nHeaps are arrays for which a[k] <= a[2*k+1] and a[k] <= a[2*k+2] for\nall k, counting elements from 0. For the sake of comparison,\nnon-existing elements are considered to be infinite. The interesting\nproperty of a heap is that a[0] is always its smallest element.\n\nUsage:\n\nheap = [] # creates an empty heap\nheappush(heap, item) # pushes a new item on the heap\nitem = heappop(heap) # pops the smallest item from the heap\nitem = heap[0] # smallest item on the heap without popping it\nheapify(x) # transforms list into a heap, in-place, in linear time\nitem = heappushpop(heap, item) # pushes a new item and then returns\n # the smallest item; the heap size is unchanged\nitem = heapreplace(heap, item) # pops and returns smallest item, and adds\n # new item; the heap size is unchanged\n\nOur API differs from textbook heap algorithms as follows:\n\n- We use 0-based indexing. This makes the relationship between the\n index for a node and the indexes for its children slightly less\n obvious, but is more suitable since Python uses 0-based indexing.\n\n- Our heappop() method returns the smallest item, not the largest.\n\nThese two make it possible to view the heap as a regular Python list\nwithout surprises: heap[0] is the smallest item, and heap.sort()\nmaintains the heap invariant!\n\"\"\"\n\n# Original code by Kevin O'Connor, augmented by Tim Peters and Raymond Hettinger\n\n__about__ = \"\"\"Heap queues\n\n[explanation by Fran\u00e7ois Pinard]\n\nHeaps are arrays for which a[k] <= a[2*k+1] and a[k] <= a[2*k+2] for\nall k, counting elements from 0. For the sake of comparison,\nnon-existing elements are considered to be infinite. The interesting\nproperty of a heap is that a[0] is always its smallest element.\n\nThe strange invariant above is meant to be an efficient memory\nrepresentation for a tournament. The numbers below are `k', not a[k]:\n\n 0\n\n 1 2\n\n 3 4 5 6\n\n 7 8 9 10 11 12 13 14\n\n 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30\n\n\nIn the tree above, each cell `k' is topping `2*k+1' and `2*k+2'. In\na usual binary tournament we see in sports, each cell is the winner\nover the two cells it tops, and we can trace the winner down the tree\nto see all opponents s/he had. However, in many computer applications\nof such tournaments, we do not need to trace the history of a winner.\nTo be more memory efficient, when a winner is promoted, we try to\nreplace it by something else at a lower level, and the rule becomes\nthat a cell and the two cells it tops contain three different items,\nbut the top cell \"wins\" over the two topped cells.\n\nIf this heap invariant is protected at all time, index 0 is clearly\nthe overall winner. The simplest algorithmic way to remove it and\nfind the \"next\" winner is to move some loser (let's say cell 30 in the\ndiagram above) into the 0 position, and then percolate this new 0 down\nthe tree, exchanging values, until the invariant is re-established.\nThis is clearly logarithmic on the total number of items in the tree.\nBy iterating over all items, you get an O(n ln n) sort.\n\nA nice feature of this sort is that you can efficiently insert new\nitems while the sort is going on, provided that the inserted items are\nnot \"better\" than the last 0'th element you extracted. This is\nespecially useful in simulation contexts, where the tree holds all\nincoming events, and the \"win\" condition means the smallest scheduled\ntime. When an event schedule other events for execution, they are\nscheduled into the future, so they can easily go into the heap. So, a\nheap is a good structure for implementing schedulers (this is what I\nused for my MIDI sequencer :-).\n\nVarious structures for implementing schedulers have been extensively\nstudied, and heaps are good for this, as they are reasonably speedy,\nthe speed is almost constant, and the worst case is not much different\nthan the average case. However, there are other representations which\nare more efficient overall, yet the worst cases might be terrible.\n\nHeaps are also very useful in big disk sorts. You most probably all\nknow that a big sort implies producing \"runs\" (which are pre-sorted\nsequences, which size is usually related to the amount of CPU memory),\nfollowed by a merging passes for these runs, which merging is often\nvery cleverly organised[1]. It is very important that the initial\nsort produces the longest runs possible. Tournaments are a good way\nto that. If, using all the memory available to hold a tournament, you\nreplace and percolate items that happen to fit the current run, you'll\nproduce runs which are twice the size of the memory for random input,\nand much better for input fuzzily ordered.\n\nMoreover, if you output the 0'th item on disk and get an input which\nmay not fit in the current tournament (because the value \"wins\" over\nthe last output value), it cannot fit in the heap, so the size of the\nheap decreases. The freed memory could be cleverly reused immediately\nfor progressively building a second heap, which grows at exactly the\nsame rate the first heap is melting. When the first heap completely\nvanishes, you switch heaps and start a new run. Clever and quite\neffective!\n\nIn a word, heaps are useful memory structures to know. I use them in\na few applications, and I think it is good to keep a `heap' module\naround. :-)\n\n--------------------\n[1] The disk balancing algorithms which are current, nowadays, are\nmore annoying than clever, and this is a consequence of the seeking\ncapabilities of the disks. On devices which cannot seek, like big\ntape drives, the story was quite different, and one had to be very\nclever to ensure (far in advance) that each tape movement will be the\nmost effective possible (that is, will best participate at\n\"progressing\" the merge). Some tapes were even able to read\nbackwards, and this was also used to avoid the rewinding time.\nBelieve me, real good tape sorts were quite spectacular to watch!\nFrom all times, sorting has always been a Great Art! :-)\n\"\"\"\n\n__all__ = ['heappush', 'heappop', 'heapify', 'heapreplace', 'merge',\n 'nlargest', 'nsmallest', 'heappushpop']\n\ndef heappush(heap, item):\n \"\"\"Push item onto heap, maintaining the heap invariant.\"\"\"\n heap.append(item)\n _siftdown(heap, 0, len(heap)-1)\n\ndef heappop(heap):\n \"\"\"Pop the smallest item off the heap, maintaining the heap invariant.\"\"\"\n lastelt = heap.pop() # raises appropriate IndexError if heap is empty\n if heap:\n returnitem = heap[0]\n heap[0] = lastelt\n _siftup(heap, 0)\n return returnitem\n return lastelt\n\ndef heapreplace(heap, item):\n \"\"\"Pop and return the current smallest value, and add the new item.\n\n This is more efficient than heappop() followed by heappush(), and can be\n more appropriate when using a fixed-size heap. Note that the value\n returned may be larger than item! That constrains reasonable uses of\n this routine unless written as part of a conditional replacement:\n\n if item > heap[0]:\n item = heapreplace(heap, item)\n \"\"\"\n returnitem = heap[0] # raises appropriate IndexError if heap is empty\n heap[0] = item\n _siftup(heap, 0)\n return returnitem\n\ndef heappushpop(heap, item):\n \"\"\"Fast version of a heappush followed by a heappop.\"\"\"\n if heap and heap[0] < item:\n item, heap[0] = heap[0], item\n _siftup(heap, 0)\n return item\n\ndef heapify(x):\n \"\"\"Transform list into a heap, in-place, in O(len(x)) time.\"\"\"\n n = len(x)\n # Transform bottom-up. The largest index there's any point to looking at\n # is the largest with a child index in-range, so must have 2*i + 1 < n,\n # or i < (n-1)/2. If n is even = 2*j, this is (2*j-1)/2 = j-1/2 so\n # j-1 is the largest, which is n//2 - 1. If n is odd = 2*j+1, this is\n # (2*j+1-1)/2 = j so j-1 is the largest, and that's again n//2-1.\n for i in reversed(range(n//2)):\n _siftup(x, i)\n\ndef _heappop_max(heap):\n \"\"\"Maxheap version of a heappop.\"\"\"\n lastelt = heap.pop() # raises appropriate IndexError if heap is empty\n if heap:\n returnitem = heap[0]\n heap[0] = lastelt\n _siftup_max(heap, 0)\n return returnitem\n return lastelt\n\ndef _heapreplace_max(heap, item):\n \"\"\"Maxheap version of a heappop followed by a heappush.\"\"\"\n returnitem = heap[0] # raises appropriate IndexError if heap is empty\n heap[0] = item\n _siftup_max(heap, 0)\n return returnitem\n\ndef _heapify_max(x):\n \"\"\"Transform list into a maxheap, in-place, in O(len(x)) time.\"\"\"\n n = len(x)\n for i in reversed(range(n//2)):\n _siftup_max(x, i)\n\n# 'heap' is a heap at all indices >= startpos, except possibly for pos. pos\n# is the index of a leaf with a possibly out-of-order value. Restore the\n# heap invariant.\ndef _siftdown(heap, startpos, pos):\n newitem = heap[pos]\n # Follow the path to the root, moving parents down until finding a place\n # newitem fits.\n while pos > startpos:\n parentpos = (pos - 1) >> 1\n parent = heap[parentpos]\n if newitem < parent:\n heap[pos] = parent\n pos = parentpos\n continue\n break\n heap[pos] = newitem\n\n# The child indices of heap index pos are already heaps, and we want to make\n# a heap at index pos too. We do this by bubbling the smaller child of\n# pos up (and so on with that child's children, etc) until hitting a leaf,\n# then using _siftdown to move the oddball originally at index pos into place.\n#\n# We *could* break out of the loop as soon as we find a pos where newitem <=\n# both its children, but turns out that's not a good idea, and despite that\n# many books write the algorithm that way. During a heap pop, the last array\n# element is sifted in, and that tends to be large, so that comparing it\n# against values starting from the root usually doesn't pay (= usually doesn't\n# get us out of the loop early). See Knuth, Volume 3, where this is\n# explained and quantified in an exercise.\n#\n# Cutting the # of comparisons is important, since these routines have no\n# way to extract \"the priority\" from an array element, so that intelligence\n# is likely to be hiding in custom comparison methods, or in array elements\n# storing (priority, record) tuples. Comparisons are thus potentially\n# expensive.\n#\n# On random arrays of length 1000, making this change cut the number of\n# comparisons made by heapify() a little, and those made by exhaustive\n# heappop() a lot, in accord with theory. Here are typical results from 3\n# runs (3 just to demonstrate how small the variance is):\n#\n# Compares needed by heapify Compares needed by 1000 heappops\n# -------------------------- --------------------------------\n# 1837 cut to 1663 14996 cut to 8680\n# 1855 cut to 1659 14966 cut to 8678\n# 1847 cut to 1660 15024 cut to 8703\n#\n# Building the heap by using heappush() 1000 times instead required\n# 2198, 2148, and 2219 compares: heapify() is more efficient, when\n# you can use it.\n#\n# The total compares needed by list.sort() on the same lists were 8627,\n# 8627, and 8632 (this should be compared to the sum of heapify() and\n# heappop() compares): list.sort() is (unsurprisingly!) more efficient\n# for sorting.\n\ndef _siftup(heap, pos):\n endpos = len(heap)\n startpos = pos\n newitem = heap[pos]\n # Bubble up the smaller child until hitting a leaf.\n childpos = 2*pos + 1 # leftmost child position\n while childpos < endpos:\n # Set childpos to index of smaller child.\n rightpos = childpos + 1\n if rightpos < endpos and not heap[childpos] < heap[rightpos]:\n childpos = rightpos\n # Move the smaller child up.\n heap[pos] = heap[childpos]\n pos = childpos\n childpos = 2*pos + 1\n # The leaf at pos is empty now. Put newitem there, and bubble it up\n # to its final resting place (by sifting its parents down).\n heap[pos] = newitem\n _siftdown(heap, startpos, pos)\n\ndef _siftdown_max(heap, startpos, pos):\n 'Maxheap variant of _siftdown'\n newitem = heap[pos]\n # Follow the path to the root, moving parents down until finding a place\n # newitem fits.\n while pos > startpos:\n parentpos = (pos - 1) >> 1\n parent = heap[parentpos]\n if parent < newitem:\n heap[pos] = parent\n pos = parentpos\n continue\n break\n heap[pos] = newitem\n\ndef _siftup_max(heap, pos):\n 'Maxheap variant of _siftup'\n endpos = len(heap)\n startpos = pos\n newitem = heap[pos]\n # Bubble up the larger child until hitting a leaf.\n childpos = 2*pos + 1 # leftmost child position\n while childpos < endpos:\n # Set childpos to index of larger child.\n rightpos = childpos + 1\n if rightpos < endpos and not heap[rightpos] < heap[childpos]:\n childpos = rightpos\n # Move the larger child up.\n heap[pos] = heap[childpos]\n pos = childpos\n childpos = 2*pos + 1\n # The leaf at pos is empty now. Put newitem there, and bubble it up\n # to its final resting place (by sifting its parents down).\n heap[pos] = newitem\n _siftdown_max(heap, startpos, pos)\n\ndef merge(*iterables, key=None, reverse=False):\n '''Merge multiple sorted inputs into a single sorted output.\n\n Similar to sorted(itertools.chain(*iterables)) but returns a generator,\n does not pull the data into memory all at once, and assumes that each of\n the input streams is already sorted (smallest to largest).\n\n >>> list(merge([1,3,5,7], [0,2,4,8], [5,10,15,20], [], [25]))\n [0, 1, 2, 3, 4, 5, 5, 7, 8, 10, 15, 20, 25]\n\n If *key* is not None, applies a key function to each element to determine\n its sort order.\n\n >>> list(merge(['dog', 'horse'], ['cat', 'fish', 'kangaroo'], key=len))\n ['dog', 'cat', 'fish', 'horse', 'kangaroo']\n\n '''\n\n h = []\n h_append = h.append\n\n if reverse:\n _heapify = _heapify_max\n _heappop = _heappop_max\n _heapreplace = _heapreplace_max\n direction = -1\n else:\n _heapify = heapify\n _heappop = heappop\n _heapreplace = heapreplace\n direction = 1\n\n if key is None:\n for order, it in enumerate(map(iter, iterables)):\n try:\n next = it.__next__\n h_append([next(), order * direction, next])\n except StopIteration:\n pass\n _heapify(h)\n while len(h) > 1:\n try:\n while True:\n value, order, next = s = h[0]\n yield value\n s[0] = next() # raises StopIteration when exhausted\n _heapreplace(h, s) # restore heap condition\n except StopIteration:\n _heappop(h) # remove empty iterator\n if h:\n # fast case when only a single iterator remains\n value, order, next = h[0]\n yield value\n yield from next.__self__\n return\n\n for order, it in enumerate(map(iter, iterables)):\n try:\n next = it.__next__\n value = next()\n h_append([key(value), order * direction, value, next])\n except StopIteration:\n pass\n _heapify(h)\n while len(h) > 1:\n try:\n while True:\n key_value, order, value, next = s = h[0]\n yield value\n value = next()\n s[0] = key(value)\n s[2] = value\n _heapreplace(h, s)\n except StopIteration:\n _heappop(h)\n if h:\n key_value, order, value, next = h[0]\n yield value\n yield from next.__self__\n\n\n# Algorithm notes for nlargest() and nsmallest()\n# ==============================================\n#\n# Make a single pass over the data while keeping the k most extreme values\n# in a heap. Memory consumption is limited to keeping k values in a list.\n#\n# Measured performance for random inputs:\n#\n# number of comparisons\n# n inputs k-extreme values (average of 5 trials) % more than min()\n# ------------- ---------------- --------------------- -----------------\n# 1,000 100 3,317 231.7%\n# 10,000 100 14,046 40.5%\n# 100,000 100 105,749 5.7%\n# 1,000,000 100 1,007,751 0.8%\n# 10,000,000 100 10,009,401 0.1%\n#\n# Theoretical number of comparisons for k smallest of n random inputs:\n#\n# Step Comparisons Action\n# ---- -------------------------- ---------------------------\n# 1 1.66 * k heapify the first k-inputs\n# 2 n - k compare remaining elements to top of heap\n# 3 k * (1 + lg2(k)) * ln(n/k) replace the topmost value on the heap\n# 4 k * lg2(k) - (k/2) final sort of the k most extreme values\n#\n# Combining and simplifying for a rough estimate gives:\n#\n# comparisons = n + k * (log(k, 2) * log(n/k) + log(k, 2) + log(n/k))\n#\n# Computing the number of comparisons for step 3:\n# -----------------------------------------------\n# * For the i-th new value from the iterable, the probability of being in the\n# k most extreme values is k/i. For example, the probability of the 101st\n# value seen being in the 100 most extreme values is 100/101.\n# * If the value is a new extreme value, the cost of inserting it into the\n# heap is 1 + log(k, 2).\n# * The probability times the cost gives:\n# (k/i) * (1 + log(k, 2))\n# * Summing across the remaining n-k elements gives:\n# sum((k/i) * (1 + log(k, 2)) for i in range(k+1, n+1))\n# * This reduces to:\n# (H(n) - H(k)) * k * (1 + log(k, 2))\n# * Where H(n) is the n-th harmonic number estimated by:\n# gamma = 0.5772156649\n# H(n) = log(n, e) + gamma + 1 / (2 * n)\n# http://en.wikipedia.org/wiki/Harmonic_series_(mathematics)#Rate_of_divergence\n# * Substituting the H(n) formula:\n# comparisons = k * (1 + log(k, 2)) * (log(n/k, e) + (1/n - 1/k) / 2)\n#\n# Worst-case for step 3:\n# ----------------------\n# In the worst case, the input data is reversed sorted so that every new element\n# must be inserted in the heap:\n#\n# comparisons = 1.66 * k + log(k, 2) * (n - k)\n#\n# Alternative Algorithms\n# ----------------------\n# Other algorithms were not used because they:\n# 1) Took much more auxiliary memory,\n# 2) Made multiple passes over the data.\n# 3) Made more comparisons in common cases (small k, large n, semi-random input).\n# See the more detailed comparison of approach at:\n# http://code.activestate.com/recipes/577573-compare-algorithms-for-heapqsmallest\n\ndef nsmallest(n, iterable, key=None):\n \"\"\"Find the n smallest elements in a dataset.\n\n Equivalent to: sorted(iterable, key=key)[:n]\n \"\"\"\n\n # Short-cut for n==1 is to use min()\n if n == 1:\n it = iter(iterable)\n sentinel = object()\n result = min(it, default=sentinel, key=key)\n return [] if result is sentinel else [result]\n\n # When n>=size, it's faster to use sorted()\n try:\n size = len(iterable)\n except (TypeError, AttributeError):\n pass\n else:\n if n >= size:\n return sorted(iterable, key=key)[:n]\n\n # When key is none, use simpler decoration\n if key is None:\n it = iter(iterable)\n # put the range(n) first so that zip() doesn't\n # consume one too many elements from the iterator\n result = [(elem, i) for i, elem in zip(range(n), it)]\n if not result:\n return result\n _heapify_max(result)\n top = result[0][0]\n order = n\n _heapreplace = _heapreplace_max\n for elem in it:\n if elem < top:\n _heapreplace(result, (elem, order))\n top, _order = result[0]\n order += 1\n result.sort()\n return [elem for (elem, order) in result]\n\n # General case, slowest method\n it = iter(iterable)\n result = [(key(elem), i, elem) for i, elem in zip(range(n), it)]\n if not result:\n return result\n _heapify_max(result)\n top = result[0][0]\n order = n\n _heapreplace = _heapreplace_max\n for elem in it:\n k = key(elem)\n if k < top:\n _heapreplace(result, (k, order, elem))\n top, _order, _elem = result[0]\n order += 1\n result.sort()\n return [elem for (k, order, elem) in result]\n\ndef nlargest(n, iterable, key=None):\n \"\"\"Find the n largest elements in a dataset.\n\n Equivalent to: sorted(iterable, key=key, reverse=True)[:n]\n \"\"\"\n\n # Short-cut for n==1 is to use max()\n if n == 1:\n it = iter(iterable)\n sentinel = object()\n result = max(it, default=sentinel, key=key)\n return [] if result is sentinel else [result]\n\n # When n>=size, it's faster to use sorted()\n try:\n size = len(iterable)\n except (TypeError, AttributeError):\n pass\n else:\n if n >= size:\n return sorted(iterable, key=key, reverse=True)[:n]\n\n # When key is none, use simpler decoration\n if key is None:\n it = iter(iterable)\n result = [(elem, i) for i, elem in zip(range(0, -n, -1), it)]\n if not result:\n return result\n heapify(result)\n top = result[0][0]\n order = -n\n _heapreplace = heapreplace\n for elem in it:\n if top < elem:\n _heapreplace(result, (elem, order))\n top, _order = result[0]\n order -= 1\n result.sort(reverse=True)\n return [elem for (elem, order) in result]\n\n # General case, slowest method\n it = iter(iterable)\n result = [(key(elem), i, elem) for i, elem in zip(range(0, -n, -1), it)]\n if not result:\n return result\n heapify(result)\n top = result[0][0]\n order = -n\n _heapreplace = heapreplace\n for elem in it:\n k = key(elem)\n if top < k:\n _heapreplace(result, (k, order, elem))\n top, _order, _elem = result[0]\n order -= 1\n result.sort(reverse=True)\n return [elem for (k, order, elem) in result]\n\n# If available, use C implementation\ntry:\n from _heapq import *\nexcept ImportError:\n pass\ntry:\n from _heapq import _heapreplace_max\nexcept ImportError:\n pass\ntry:\n from _heapq import _heapify_max\nexcept ImportError:\n pass\ntry:\n from _heapq import _heappop_max\nexcept ImportError:\n pass\n\n\nif __name__ == \"__main__\":\n\n import doctest # pragma: no cover\n print(doctest.testmod()) # pragma: no cover\n", 603], "/usr/lib/python3.12/queue.py": ["'''A multi-producer, multi-consumer queue.'''\n\nimport threading\nimport types\nfrom collections import deque\nfrom heapq import heappush, heappop\nfrom time import monotonic as time\ntry:\n from _queue import SimpleQueue\nexcept ImportError:\n SimpleQueue = None\n\n__all__ = ['Empty', 'Full', 'Queue', 'PriorityQueue', 'LifoQueue', 'SimpleQueue']\n\n\ntry:\n from _queue import Empty\nexcept ImportError:\n class Empty(Exception):\n 'Exception raised by Queue.get(block=0)/get_nowait().'\n pass\n\nclass Full(Exception):\n 'Exception raised by Queue.put(block=0)/put_nowait().'\n pass\n\n\nclass Queue:\n '''Create a queue object with a given maximum size.\n\n If maxsize is <= 0, the queue size is infinite.\n '''\n\n def __init__(self, maxsize=0):\n self.maxsize = maxsize\n self._init(maxsize)\n\n # mutex must be held whenever the queue is mutating. All methods\n # that acquire mutex must release it before returning. mutex\n # is shared between the three conditions, so acquiring and\n # releasing the conditions also acquires and releases mutex.\n self.mutex = threading.Lock()\n\n # Notify not_empty whenever an item is added to the queue; a\n # thread waiting to get is notified then.\n self.not_empty = threading.Condition(self.mutex)\n\n # Notify not_full whenever an item is removed from the queue;\n # a thread waiting to put is notified then.\n self.not_full = threading.Condition(self.mutex)\n\n # Notify all_tasks_done whenever the number of unfinished tasks\n # drops to zero; thread waiting to join() is notified to resume\n self.all_tasks_done = threading.Condition(self.mutex)\n self.unfinished_tasks = 0\n\n def task_done(self):\n '''Indicate that a formerly enqueued task is complete.\n\n Used by Queue consumer threads. For each get() used to fetch a task,\n a subsequent call to task_done() tells the queue that the processing\n on the task is complete.\n\n If a join() is currently blocking, it will resume when all items\n have been processed (meaning that a task_done() call was received\n for every item that had been put() into the queue).\n\n Raises a ValueError if called more times than there were items\n placed in the queue.\n '''\n with self.all_tasks_done:\n unfinished = self.unfinished_tasks - 1\n if unfinished <= 0:\n if unfinished < 0:\n raise ValueError('task_done() called too many times')\n self.all_tasks_done.notify_all()\n self.unfinished_tasks = unfinished\n\n def join(self):\n '''Blocks until all items in the Queue have been gotten and processed.\n\n The count of unfinished tasks goes up whenever an item is added to the\n queue. The count goes down whenever a consumer thread calls task_done()\n to indicate the item was retrieved and all work on it is complete.\n\n When the count of unfinished tasks drops to zero, join() unblocks.\n '''\n with self.all_tasks_done:\n while self.unfinished_tasks:\n self.all_tasks_done.wait()\n\n def qsize(self):\n '''Return the approximate size of the queue (not reliable!).'''\n with self.mutex:\n return self._qsize()\n\n def empty(self):\n '''Return True if the queue is empty, False otherwise (not reliable!).\n\n This method is likely to be removed at some point. Use qsize() == 0\n as a direct substitute, but be aware that either approach risks a race\n condition where a queue can grow before the result of empty() or\n qsize() can be used.\n\n To create code that needs to wait for all queued tasks to be\n completed, the preferred technique is to use the join() method.\n '''\n with self.mutex:\n return not self._qsize()\n\n def full(self):\n '''Return True if the queue is full, False otherwise (not reliable!).\n\n This method is likely to be removed at some point. Use qsize() >= n\n as a direct substitute, but be aware that either approach risks a race\n condition where a queue can shrink before the result of full() or\n qsize() can be used.\n '''\n with self.mutex:\n return 0 < self.maxsize <= self._qsize()\n\n def put(self, item, block=True, timeout=None):\n '''Put an item into the queue.\n\n If optional args 'block' is true and 'timeout' is None (the default),\n block if necessary until a free slot is available. If 'timeout' is\n a non-negative number, it blocks at most 'timeout' seconds and raises\n the Full exception if no free slot was available within that time.\n Otherwise ('block' is false), put an item on the queue if a free slot\n is immediately available, else raise the Full exception ('timeout'\n is ignored in that case).\n '''\n with self.not_full:\n if self.maxsize > 0:\n if not block:\n if self._qsize() >= self.maxsize:\n raise Full\n elif timeout is None:\n while self._qsize() >= self.maxsize:\n self.not_full.wait()\n elif timeout < 0:\n raise ValueError(\"'timeout' must be a non-negative number\")\n else:\n endtime = time() + timeout\n while self._qsize() >= self.maxsize:\n remaining = endtime - time()\n if remaining <= 0.0:\n raise Full\n self.not_full.wait(remaining)\n self._put(item)\n self.unfinished_tasks += 1\n self.not_empty.notify()\n\n def get(self, block=True, timeout=None):\n '''Remove and return an item from the queue.\n\n If optional args 'block' is true and 'timeout' is None (the default),\n block if necessary until an item is available. If 'timeout' is\n a non-negative number, it blocks at most 'timeout' seconds and raises\n the Empty exception if no item was available within that time.\n Otherwise ('block' is false), return an item if one is immediately\n available, else raise the Empty exception ('timeout' is ignored\n in that case).\n '''\n with self.not_empty:\n if not block:\n if not self._qsize():\n raise Empty\n elif timeout is None:\n while not self._qsize():\n self.not_empty.wait()\n elif timeout < 0:\n raise ValueError(\"'timeout' must be a non-negative number\")\n else:\n endtime = time() + timeout\n while not self._qsize():\n remaining = endtime - time()\n if remaining <= 0.0:\n raise Empty\n self.not_empty.wait(remaining)\n item = self._get()\n self.not_full.notify()\n return item\n\n def put_nowait(self, item):\n '''Put an item into the queue without blocking.\n\n Only enqueue the item if a free slot is immediately available.\n Otherwise raise the Full exception.\n '''\n return self.put(item, block=False)\n\n def get_nowait(self):\n '''Remove and return an item from the queue without blocking.\n\n Only get an item if one is immediately available. Otherwise\n raise the Empty exception.\n '''\n return self.get(block=False)\n\n # Override these methods to implement other queue organizations\n # (e.g. stack or priority queue).\n # These will only be called with appropriate locks held\n\n # Initialize the queue representation\n def _init(self, maxsize):\n self.queue = deque()\n\n def _qsize(self):\n return len(self.queue)\n\n # Put a new item in the queue\n def _put(self, item):\n self.queue.append(item)\n\n # Get an item from the queue\n def _get(self):\n return self.queue.popleft()\n\n __class_getitem__ = classmethod(types.GenericAlias)\n\n\nclass PriorityQueue(Queue):\n '''Variant of Queue that retrieves open entries in priority order (lowest first).\n\n Entries are typically tuples of the form: (priority number, data).\n '''\n\n def _init(self, maxsize):\n self.queue = []\n\n def _qsize(self):\n return len(self.queue)\n\n def _put(self, item):\n heappush(self.queue, item)\n\n def _get(self):\n return heappop(self.queue)\n\n\nclass LifoQueue(Queue):\n '''Variant of Queue that retrieves most recently added entries first.'''\n\n def _init(self, maxsize):\n self.queue = []\n\n def _qsize(self):\n return len(self.queue)\n\n def _put(self, item):\n self.queue.append(item)\n\n def _get(self):\n return self.queue.pop()\n\n\nclass _PySimpleQueue:\n '''Simple, unbounded FIFO queue.\n\n This pure Python implementation is not reentrant.\n '''\n # Note: while this pure Python version provides fairness\n # (by using a threading.Semaphore which is itself fair, being based\n # on threading.Condition), fairness is not part of the API contract.\n # This allows the C version to use a different implementation.\n\n def __init__(self):\n self._queue = deque()\n self._count = threading.Semaphore(0)\n\n def put(self, item, block=True, timeout=None):\n '''Put the item on the queue.\n\n The optional 'block' and 'timeout' arguments are ignored, as this method\n never blocks. They are provided for compatibility with the Queue class.\n '''\n self._queue.append(item)\n self._count.release()\n\n def get(self, block=True, timeout=None):\n '''Remove and return an item from the queue.\n\n If optional args 'block' is true and 'timeout' is None (the default),\n block if necessary until an item is available. If 'timeout' is\n a non-negative number, it blocks at most 'timeout' seconds and raises\n the Empty exception if no item was available within that time.\n Otherwise ('block' is false), return an item if one is immediately\n available, else raise the Empty exception ('timeout' is ignored\n in that case).\n '''\n if timeout is not None and timeout < 0:\n raise ValueError(\"'timeout' must be a non-negative number\")\n if not self._count.acquire(block, timeout):\n raise Empty\n return self._queue.popleft()\n\n def put_nowait(self, item):\n '''Put an item into the queue without blocking.\n\n This is exactly equivalent to `put(item, block=False)` and is only provided\n for compatibility with the Queue class.\n '''\n return self.put(item, block=False)\n\n def get_nowait(self):\n '''Remove and return an item from the queue without blocking.\n\n Only get an item if one is immediately available. Otherwise\n raise the Empty exception.\n '''\n return self.get(block=False)\n\n def empty(self):\n '''Return True if the queue is empty, False otherwise (not reliable!).'''\n return len(self._queue) == 0\n\n def qsize(self):\n '''Return the approximate size of the queue (not reliable!).'''\n return len(self._queue)\n\n __class_getitem__ = classmethod(types.GenericAlias)\n\n\nif SimpleQueue is None:\n SimpleQueue = _PySimpleQueue\n", 326], "/usr/lib/python3.12/traceback.py": ["\"\"\"Extract, format and print information about Python stack traces.\"\"\"\n\nimport collections.abc\nimport itertools\nimport linecache\nimport sys\nimport textwrap\nfrom contextlib import suppress\n\n__all__ = ['extract_stack', 'extract_tb', 'format_exception',\n 'format_exception_only', 'format_list', 'format_stack',\n 'format_tb', 'print_exc', 'format_exc', 'print_exception',\n 'print_last', 'print_stack', 'print_tb', 'clear_frames',\n 'FrameSummary', 'StackSummary', 'TracebackException',\n 'walk_stack', 'walk_tb']\n\n#\n# Formatting and printing lists of traceback lines.\n#\n\ndef print_list(extracted_list, file=None):\n \"\"\"Print the list of tuples as returned by extract_tb() or\n extract_stack() as a formatted stack trace to the given file.\"\"\"\n if file is None:\n file = sys.stderr\n for item in StackSummary.from_list(extracted_list).format():\n print(item, file=file, end=\"\")\n\ndef format_list(extracted_list):\n \"\"\"Format a list of tuples or FrameSummary objects for printing.\n\n Given a list of tuples or FrameSummary objects as returned by\n extract_tb() or extract_stack(), return a list of strings ready\n for printing.\n\n Each string in the resulting list corresponds to the item with the\n same index in the argument list. Each string ends in a newline;\n the strings may contain internal newlines as well, for those items\n whose source text line is not None.\n \"\"\"\n return StackSummary.from_list(extracted_list).format()\n\n#\n# Printing and Extracting Tracebacks.\n#\n\ndef print_tb(tb, limit=None, file=None):\n \"\"\"Print up to 'limit' stack trace entries from the traceback 'tb'.\n\n If 'limit' is omitted or None, all entries are printed. If 'file'\n is omitted or None, the output goes to sys.stderr; otherwise\n 'file' should be an open file or file-like object with a write()\n method.\n \"\"\"\n print_list(extract_tb(tb, limit=limit), file=file)\n\ndef format_tb(tb, limit=None):\n \"\"\"A shorthand for 'format_list(extract_tb(tb, limit))'.\"\"\"\n return extract_tb(tb, limit=limit).format()\n\ndef extract_tb(tb, limit=None):\n \"\"\"\n Return a StackSummary object representing a list of\n pre-processed entries from traceback.\n\n This is useful for alternate formatting of stack traces. If\n 'limit' is omitted or None, all entries are extracted. A\n pre-processed stack trace entry is a FrameSummary object\n containing attributes filename, lineno, name, and line\n representing the information that is usually printed for a stack\n trace. The line is a string with leading and trailing\n whitespace stripped; if the source is not available it is None.\n \"\"\"\n return StackSummary._extract_from_extended_frame_gen(\n _walk_tb_with_full_positions(tb), limit=limit)\n\n#\n# Exception formatting and output.\n#\n\n_cause_message = (\n \"\\nThe above exception was the direct cause \"\n \"of the following exception:\\n\\n\")\n\n_context_message = (\n \"\\nDuring handling of the above exception, \"\n \"another exception occurred:\\n\\n\")\n\n\nclass _Sentinel:\n def __repr__(self):\n return \"\"\n\n_sentinel = _Sentinel()\n\ndef _parse_value_tb(exc, value, tb):\n if (value is _sentinel) != (tb is _sentinel):\n raise ValueError(\"Both or neither of value and tb must be given\")\n if value is tb is _sentinel:\n if exc is not None:\n if isinstance(exc, BaseException):\n return exc, exc.__traceback__\n\n raise TypeError(f'Exception expected for value, '\n f'{type(exc).__name__} found')\n else:\n return None, None\n return value, tb\n\n\ndef print_exception(exc, /, value=_sentinel, tb=_sentinel, limit=None, \\\n file=None, chain=True):\n \"\"\"Print exception up to 'limit' stack trace entries from 'tb' to 'file'.\n\n This differs from print_tb() in the following ways: (1) if\n traceback is not None, it prints a header \"Traceback (most recent\n call last):\"; (2) it prints the exception type and value after the\n stack trace; (3) if type is SyntaxError and value has the\n appropriate format, it prints the line where the syntax error\n occurred with a caret on the next line indicating the approximate\n position of the error.\n \"\"\"\n value, tb = _parse_value_tb(exc, value, tb)\n te = TracebackException(type(value), value, tb, limit=limit, compact=True)\n te.print(file=file, chain=chain)\n\n\ndef format_exception(exc, /, value=_sentinel, tb=_sentinel, limit=None, \\\n chain=True):\n \"\"\"Format a stack trace and the exception information.\n\n The arguments have the same meaning as the corresponding arguments\n to print_exception(). The return value is a list of strings, each\n ending in a newline and some containing internal newlines. When\n these lines are concatenated and printed, exactly the same text is\n printed as does print_exception().\n \"\"\"\n value, tb = _parse_value_tb(exc, value, tb)\n te = TracebackException(type(value), value, tb, limit=limit, compact=True)\n return list(te.format(chain=chain))\n\n\ndef format_exception_only(exc, /, value=_sentinel):\n \"\"\"Format the exception part of a traceback.\n\n The return value is a list of strings, each ending in a newline.\n\n The list contains the exception's message, which is\n normally a single string; however, for :exc:`SyntaxError` exceptions, it\n contains several lines that (when printed) display detailed information\n about where the syntax error occurred. Following the message, the list\n contains the exception's ``__notes__``.\n \"\"\"\n if value is _sentinel:\n value = exc\n te = TracebackException(type(value), value, None, compact=True)\n return list(te.format_exception_only())\n\n\n# -- not official API but folk probably use these two functions.\n\ndef _format_final_exc_line(etype, value):\n valuestr = _safe_string(value, 'exception')\n if value is None or not valuestr:\n line = \"%s\\n\" % etype\n else:\n line = \"%s: %s\\n\" % (etype, valuestr)\n return line\n\ndef _safe_string(value, what, func=str):\n try:\n return func(value)\n except:\n return f'<{what} {func.__name__}() failed>'\n\n# --\n\ndef print_exc(limit=None, file=None, chain=True):\n \"\"\"Shorthand for 'print_exception(sys.exception(), limit, file, chain)'.\"\"\"\n print_exception(sys.exception(), limit=limit, file=file, chain=chain)\n\ndef format_exc(limit=None, chain=True):\n \"\"\"Like print_exc() but return a string.\"\"\"\n return \"\".join(format_exception(sys.exception(), limit=limit, chain=chain))\n\ndef print_last(limit=None, file=None, chain=True):\n \"\"\"This is a shorthand for 'print_exception(sys.last_exc, limit, file, chain)'.\"\"\"\n if not hasattr(sys, \"last_exc\") and not hasattr(sys, \"last_type\"):\n raise ValueError(\"no last exception\")\n\n if hasattr(sys, \"last_exc\"):\n print_exception(sys.last_exc, limit, file, chain)\n else:\n print_exception(sys.last_type, sys.last_value, sys.last_traceback,\n limit, file, chain)\n\n\n#\n# Printing and Extracting Stacks.\n#\n\ndef print_stack(f=None, limit=None, file=None):\n \"\"\"Print a stack trace from its invocation point.\n\n The optional 'f' argument can be used to specify an alternate\n stack frame at which to start. The optional 'limit' and 'file'\n arguments have the same meaning as for print_exception().\n \"\"\"\n if f is None:\n f = sys._getframe().f_back\n print_list(extract_stack(f, limit=limit), file=file)\n\n\ndef format_stack(f=None, limit=None):\n \"\"\"Shorthand for 'format_list(extract_stack(f, limit))'.\"\"\"\n if f is None:\n f = sys._getframe().f_back\n return format_list(extract_stack(f, limit=limit))\n\n\ndef extract_stack(f=None, limit=None):\n \"\"\"Extract the raw traceback from the current stack frame.\n\n The return value has the same format as for extract_tb(). The\n optional 'f' and 'limit' arguments have the same meaning as for\n print_stack(). Each item in the list is a quadruple (filename,\n line number, function name, text), and the entries are in order\n from oldest to newest stack frame.\n \"\"\"\n if f is None:\n f = sys._getframe().f_back\n stack = StackSummary.extract(walk_stack(f), limit=limit)\n stack.reverse()\n return stack\n\n\ndef clear_frames(tb):\n \"Clear all references to local variables in the frames of a traceback.\"\n while tb is not None:\n try:\n tb.tb_frame.clear()\n except RuntimeError:\n # Ignore the exception raised if the frame is still executing.\n pass\n tb = tb.tb_next\n\n\nclass FrameSummary:\n \"\"\"Information about a single frame from a traceback.\n\n - :attr:`filename` The filename for the frame.\n - :attr:`lineno` The line within filename for the frame that was\n active when the frame was captured.\n - :attr:`name` The name of the function or method that was executing\n when the frame was captured.\n - :attr:`line` The text from the linecache module for the\n of code that was running when the frame was captured.\n - :attr:`locals` Either None if locals were not supplied, or a dict\n mapping the name to the repr() of the variable.\n \"\"\"\n\n __slots__ = ('filename', 'lineno', 'end_lineno', 'colno', 'end_colno',\n 'name', '_line', 'locals')\n\n def __init__(self, filename, lineno, name, *, lookup_line=True,\n locals=None, line=None,\n end_lineno=None, colno=None, end_colno=None):\n \"\"\"Construct a FrameSummary.\n\n :param lookup_line: If True, `linecache` is consulted for the source\n code line. Otherwise, the line will be looked up when first needed.\n :param locals: If supplied the frame locals, which will be captured as\n object representations.\n :param line: If provided, use this instead of looking up the line in\n the linecache.\n \"\"\"\n self.filename = filename\n self.lineno = lineno\n self.name = name\n self._line = line\n if lookup_line:\n self.line\n self.locals = {k: _safe_string(v, 'local', func=repr)\n for k, v in locals.items()} if locals else None\n self.end_lineno = end_lineno\n self.colno = colno\n self.end_colno = end_colno\n\n def __eq__(self, other):\n if isinstance(other, FrameSummary):\n return (self.filename == other.filename and\n self.lineno == other.lineno and\n self.name == other.name and\n self.locals == other.locals)\n if isinstance(other, tuple):\n return (self.filename, self.lineno, self.name, self.line) == other\n return NotImplemented\n\n def __getitem__(self, pos):\n return (self.filename, self.lineno, self.name, self.line)[pos]\n\n def __iter__(self):\n return iter([self.filename, self.lineno, self.name, self.line])\n\n def __repr__(self):\n return \"\".format(\n filename=self.filename, lineno=self.lineno, name=self.name)\n\n def __len__(self):\n return 4\n\n @property\n def _original_line(self):\n # Returns the line as-is from the source, without modifying whitespace.\n self.line\n return self._line\n\n @property\n def line(self):\n if self._line is None:\n if self.lineno is None:\n return None\n self._line = linecache.getline(self.filename, self.lineno)\n return self._line.strip()\n\n\ndef walk_stack(f):\n \"\"\"Walk a stack yielding the frame and line number for each frame.\n\n This will follow f.f_back from the given frame. If no frame is given, the\n current stack is used. Usually used with StackSummary.extract.\n \"\"\"\n if f is None:\n f = sys._getframe().f_back.f_back.f_back.f_back\n while f is not None:\n yield f, f.f_lineno\n f = f.f_back\n\n\ndef walk_tb(tb):\n \"\"\"Walk a traceback yielding the frame and line number for each frame.\n\n This will follow tb.tb_next (and thus is in the opposite order to\n walk_stack). Usually used with StackSummary.extract.\n \"\"\"\n while tb is not None:\n yield tb.tb_frame, tb.tb_lineno\n tb = tb.tb_next\n\n\ndef _walk_tb_with_full_positions(tb):\n # Internal version of walk_tb that yields full code positions including\n # end line and column information.\n while tb is not None:\n positions = _get_code_position(tb.tb_frame.f_code, tb.tb_lasti)\n # Yield tb_lineno when co_positions does not have a line number to\n # maintain behavior with walk_tb.\n if positions[0] is None:\n yield tb.tb_frame, (tb.tb_lineno, ) + positions[1:]\n else:\n yield tb.tb_frame, positions\n tb = tb.tb_next\n\n\ndef _get_code_position(code, instruction_index):\n if instruction_index < 0:\n return (None, None, None, None)\n positions_gen = code.co_positions()\n return next(itertools.islice(positions_gen, instruction_index // 2, None))\n\n\n_RECURSIVE_CUTOFF = 3 # Also hardcoded in traceback.c.\n\nclass StackSummary(list):\n \"\"\"A list of FrameSummary objects, representing a stack of frames.\"\"\"\n\n @classmethod\n def extract(klass, frame_gen, *, limit=None, lookup_lines=True,\n capture_locals=False):\n \"\"\"Create a StackSummary from a traceback or stack object.\n\n :param frame_gen: A generator that yields (frame, lineno) tuples\n whose summaries are to be included in the stack.\n :param limit: None to include all frames or the number of frames to\n include.\n :param lookup_lines: If True, lookup lines for each frame immediately,\n otherwise lookup is deferred until the frame is rendered.\n :param capture_locals: If True, the local variables from each frame will\n be captured as object representations into the FrameSummary.\n \"\"\"\n def extended_frame_gen():\n for f, lineno in frame_gen:\n yield f, (lineno, None, None, None)\n\n return klass._extract_from_extended_frame_gen(\n extended_frame_gen(), limit=limit, lookup_lines=lookup_lines,\n capture_locals=capture_locals)\n\n @classmethod\n def _extract_from_extended_frame_gen(klass, frame_gen, *, limit=None,\n lookup_lines=True, capture_locals=False):\n # Same as extract but operates on a frame generator that yields\n # (frame, (lineno, end_lineno, colno, end_colno)) in the stack.\n # Only lineno is required, the remaining fields can be None if the\n # information is not available.\n if limit is None:\n limit = getattr(sys, 'tracebacklimit', None)\n if limit is not None and limit < 0:\n limit = 0\n if limit is not None:\n if limit >= 0:\n frame_gen = itertools.islice(frame_gen, limit)\n else:\n frame_gen = collections.deque(frame_gen, maxlen=-limit)\n\n result = klass()\n fnames = set()\n for f, (lineno, end_lineno, colno, end_colno) in frame_gen:\n co = f.f_code\n filename = co.co_filename\n name = co.co_name\n\n fnames.add(filename)\n linecache.lazycache(filename, f.f_globals)\n # Must defer line lookups until we have called checkcache.\n if capture_locals:\n f_locals = f.f_locals\n else:\n f_locals = None\n result.append(FrameSummary(\n filename, lineno, name, lookup_line=False, locals=f_locals,\n end_lineno=end_lineno, colno=colno, end_colno=end_colno))\n for filename in fnames:\n linecache.checkcache(filename)\n # If immediate lookup was desired, trigger lookups now.\n if lookup_lines:\n for f in result:\n f.line\n return result\n\n @classmethod\n def from_list(klass, a_list):\n \"\"\"\n Create a StackSummary object from a supplied list of\n FrameSummary objects or old-style list of tuples.\n \"\"\"\n # While doing a fast-path check for isinstance(a_list, StackSummary) is\n # appealing, idlelib.run.cleanup_traceback and other similar code may\n # break this by making arbitrary frames plain tuples, so we need to\n # check on a frame by frame basis.\n result = StackSummary()\n for frame in a_list:\n if isinstance(frame, FrameSummary):\n result.append(frame)\n else:\n filename, lineno, name, line = frame\n result.append(FrameSummary(filename, lineno, name, line=line))\n return result\n\n def format_frame_summary(self, frame_summary):\n \"\"\"Format the lines for a single FrameSummary.\n\n Returns a string representing one frame involved in the stack. This\n gets called for every frame to be printed in the stack summary.\n \"\"\"\n row = []\n row.append(' File \"{}\", line {}, in {}\\n'.format(\n frame_summary.filename, frame_summary.lineno, frame_summary.name))\n if frame_summary.line:\n stripped_line = frame_summary.line.strip()\n row.append(' {}\\n'.format(stripped_line))\n\n line = frame_summary._original_line\n orig_line_len = len(line)\n frame_line_len = len(frame_summary.line.lstrip())\n stripped_characters = orig_line_len - frame_line_len\n if (\n frame_summary.colno is not None\n and frame_summary.end_colno is not None\n ):\n start_offset = _byte_offset_to_character_offset(\n line, frame_summary.colno)\n end_offset = _byte_offset_to_character_offset(\n line, frame_summary.end_colno)\n code_segment = line[start_offset:end_offset]\n\n anchors = None\n if frame_summary.lineno == frame_summary.end_lineno:\n with suppress(Exception):\n anchors = _extract_caret_anchors_from_line_segment(code_segment)\n else:\n # Don't count the newline since the anchors only need to\n # go up until the last character of the line.\n end_offset = len(line.rstrip())\n\n # show indicators if primary char doesn't span the frame line\n if end_offset - start_offset < len(stripped_line) or (\n anchors and anchors.right_start_offset - anchors.left_end_offset > 0):\n # When showing this on a terminal, some of the non-ASCII characters\n # might be rendered as double-width characters, so we need to take\n # that into account when calculating the length of the line.\n dp_start_offset = _display_width(line, start_offset) + 1\n dp_end_offset = _display_width(line, end_offset) + 1\n\n row.append(' ')\n row.append(' ' * (dp_start_offset - stripped_characters))\n\n if anchors:\n dp_left_end_offset = _display_width(code_segment, anchors.left_end_offset)\n dp_right_start_offset = _display_width(code_segment, anchors.right_start_offset)\n row.append(anchors.primary_char * dp_left_end_offset)\n row.append(anchors.secondary_char * (dp_right_start_offset - dp_left_end_offset))\n row.append(anchors.primary_char * (dp_end_offset - dp_start_offset - dp_right_start_offset))\n else:\n row.append('^' * (dp_end_offset - dp_start_offset))\n\n row.append('\\n')\n\n if frame_summary.locals:\n for name, value in sorted(frame_summary.locals.items()):\n row.append(' {name} = {value}\\n'.format(name=name, value=value))\n\n return ''.join(row)\n\n def format(self):\n \"\"\"Format the stack ready for printing.\n\n Returns a list of strings ready for printing. Each string in the\n resulting list corresponds to a single frame from the stack.\n Each string ends in a newline; the strings may contain internal\n newlines as well, for those items with source text lines.\n\n For long sequences of the same frame and line, the first few\n repetitions are shown, followed by a summary line stating the exact\n number of further repetitions.\n \"\"\"\n result = []\n last_file = None\n last_line = None\n last_name = None\n count = 0\n for frame_summary in self:\n formatted_frame = self.format_frame_summary(frame_summary)\n if formatted_frame is None:\n continue\n if (last_file is None or last_file != frame_summary.filename or\n last_line is None or last_line != frame_summary.lineno or\n last_name is None or last_name != frame_summary.name):\n if count > _RECURSIVE_CUTOFF:\n count -= _RECURSIVE_CUTOFF\n result.append(\n f' [Previous line repeated {count} more '\n f'time{\"s\" if count > 1 else \"\"}]\\n'\n )\n last_file = frame_summary.filename\n last_line = frame_summary.lineno\n last_name = frame_summary.name\n count = 0\n count += 1\n if count > _RECURSIVE_CUTOFF:\n continue\n result.append(formatted_frame)\n\n if count > _RECURSIVE_CUTOFF:\n count -= _RECURSIVE_CUTOFF\n result.append(\n f' [Previous line repeated {count} more '\n f'time{\"s\" if count > 1 else \"\"}]\\n'\n )\n return result\n\n\ndef _byte_offset_to_character_offset(str, offset):\n as_utf8 = str.encode('utf-8')\n return len(as_utf8[:offset].decode(\"utf-8\", errors=\"replace\"))\n\n\n_Anchors = collections.namedtuple(\n \"_Anchors\",\n [\n \"left_end_offset\",\n \"right_start_offset\",\n \"primary_char\",\n \"secondary_char\",\n ],\n defaults=[\"~\", \"^\"]\n)\n\ndef _extract_caret_anchors_from_line_segment(segment):\n import ast\n\n try:\n tree = ast.parse(segment)\n except SyntaxError:\n return None\n\n if len(tree.body) != 1:\n return None\n\n normalize = lambda offset: _byte_offset_to_character_offset(segment, offset)\n statement = tree.body[0]\n match statement:\n case ast.Expr(expr):\n match expr:\n case ast.BinOp():\n operator_start = normalize(expr.left.end_col_offset)\n operator_end = normalize(expr.right.col_offset)\n operator_str = segment[operator_start:operator_end]\n operator_offset = len(operator_str) - len(operator_str.lstrip())\n\n left_anchor = expr.left.end_col_offset + operator_offset\n right_anchor = left_anchor + 1\n if (\n operator_offset + 1 < len(operator_str)\n and not operator_str[operator_offset + 1].isspace()\n ):\n right_anchor += 1\n\n while left_anchor < len(segment) and ((ch := segment[left_anchor]).isspace() or ch in \")#\"):\n left_anchor += 1\n right_anchor += 1\n return _Anchors(normalize(left_anchor), normalize(right_anchor))\n case ast.Subscript():\n left_anchor = normalize(expr.value.end_col_offset)\n right_anchor = normalize(expr.slice.end_col_offset + 1)\n while left_anchor < len(segment) and ((ch := segment[left_anchor]).isspace() or ch != \"[\"):\n left_anchor += 1\n while right_anchor < len(segment) and ((ch := segment[right_anchor]).isspace() or ch != \"]\"):\n right_anchor += 1\n if right_anchor < len(segment):\n right_anchor += 1\n return _Anchors(left_anchor, right_anchor)\n\n return None\n\n_WIDE_CHAR_SPECIFIERS = \"WF\"\n\ndef _display_width(line, offset):\n \"\"\"Calculate the extra amount of width space the given source\n code segment might take if it were to be displayed on a fixed\n width output device. Supports wide unicode characters and emojis.\"\"\"\n\n # Fast track for ASCII-only strings\n if line.isascii():\n return offset\n\n import unicodedata\n\n return sum(\n 2 if unicodedata.east_asian_width(char) in _WIDE_CHAR_SPECIFIERS else 1\n for char in line[:offset]\n )\n\n\n\nclass _ExceptionPrintContext:\n def __init__(self):\n self.seen = set()\n self.exception_group_depth = 0\n self.need_close = False\n\n def indent(self):\n return ' ' * (2 * self.exception_group_depth)\n\n def emit(self, text_gen, margin_char=None):\n if margin_char is None:\n margin_char = '|'\n indent_str = self.indent()\n if self.exception_group_depth:\n indent_str += margin_char + ' '\n\n if isinstance(text_gen, str):\n yield textwrap.indent(text_gen, indent_str, lambda line: True)\n else:\n for text in text_gen:\n yield textwrap.indent(text, indent_str, lambda line: True)\n\n\nclass TracebackException:\n \"\"\"An exception ready for rendering.\n\n The traceback module captures enough attributes from the original exception\n to this intermediary form to ensure that no references are held, while\n still being able to fully print or format it.\n\n max_group_width and max_group_depth control the formatting of exception\n groups. The depth refers to the nesting level of the group, and the width\n refers to the size of a single exception group's exceptions array. The\n formatted output is truncated when either limit is exceeded.\n\n Use `from_exception` to create TracebackException instances from exception\n objects, or the constructor to create TracebackException instances from\n individual components.\n\n - :attr:`__cause__` A TracebackException of the original *__cause__*.\n - :attr:`__context__` A TracebackException of the original *__context__*.\n - :attr:`exceptions` For exception groups - a list of TracebackException\n instances for the nested *exceptions*. ``None`` for other exceptions.\n - :attr:`__suppress_context__` The *__suppress_context__* value from the\n original exception.\n - :attr:`stack` A `StackSummary` representing the traceback.\n - :attr:`exc_type` The class of the original traceback.\n - :attr:`filename` For syntax errors - the filename where the error\n occurred.\n - :attr:`lineno` For syntax errors - the linenumber where the error\n occurred.\n - :attr:`end_lineno` For syntax errors - the end linenumber where the error\n occurred. Can be `None` if not present.\n - :attr:`text` For syntax errors - the text where the error\n occurred.\n - :attr:`offset` For syntax errors - the offset into the text where the\n error occurred.\n - :attr:`end_offset` For syntax errors - the end offset into the text where\n the error occurred. Can be `None` if not present.\n - :attr:`msg` For syntax errors - the compiler error message.\n \"\"\"\n\n def __init__(self, exc_type, exc_value, exc_traceback, *, limit=None,\n lookup_lines=True, capture_locals=False, compact=False,\n max_group_width=15, max_group_depth=10, _seen=None):\n # NB: we need to accept exc_traceback, exc_value, exc_traceback to\n # permit backwards compat with the existing API, otherwise we\n # need stub thunk objects just to glue it together.\n # Handle loops in __cause__ or __context__.\n is_recursive_call = _seen is not None\n if _seen is None:\n _seen = set()\n _seen.add(id(exc_value))\n\n self.max_group_width = max_group_width\n self.max_group_depth = max_group_depth\n\n self.stack = StackSummary._extract_from_extended_frame_gen(\n _walk_tb_with_full_positions(exc_traceback),\n limit=limit, lookup_lines=lookup_lines,\n capture_locals=capture_locals)\n self.exc_type = exc_type\n # Capture now to permit freeing resources: only complication is in the\n # unofficial API _format_final_exc_line\n self._str = _safe_string(exc_value, 'exception')\n try:\n self.__notes__ = getattr(exc_value, '__notes__', None)\n except Exception as e:\n self.__notes__ = [\n f'Ignored error getting __notes__: {_safe_string(e, '__notes__', repr)}']\n\n if exc_type and issubclass(exc_type, SyntaxError):\n # Handle SyntaxError's specially\n self.filename = exc_value.filename\n lno = exc_value.lineno\n self.lineno = str(lno) if lno is not None else None\n end_lno = exc_value.end_lineno\n self.end_lineno = str(end_lno) if end_lno is not None else None\n self.text = exc_value.text\n self.offset = exc_value.offset\n self.end_offset = exc_value.end_offset\n self.msg = exc_value.msg\n elif exc_type and issubclass(exc_type, ImportError) and \\\n getattr(exc_value, \"name_from\", None) is not None:\n wrong_name = getattr(exc_value, \"name_from\", None)\n suggestion = _compute_suggestion_error(exc_value, exc_traceback, wrong_name)\n if suggestion:\n self._str += f\". Did you mean: '{suggestion}'?\"\n elif exc_type and issubclass(exc_type, (NameError, AttributeError)) and \\\n getattr(exc_value, \"name\", None) is not None:\n wrong_name = getattr(exc_value, \"name\", None)\n suggestion = _compute_suggestion_error(exc_value, exc_traceback, wrong_name)\n if suggestion:\n self._str += f\". Did you mean: '{suggestion}'?\"\n if issubclass(exc_type, NameError):\n wrong_name = getattr(exc_value, \"name\", None)\n if wrong_name is not None and wrong_name in sys.stdlib_module_names:\n if suggestion:\n self._str += f\" Or did you forget to import '{wrong_name}'\"\n else:\n self._str += f\". Did you forget to import '{wrong_name}'\"\n if lookup_lines:\n self._load_lines()\n self.__suppress_context__ = \\\n exc_value.__suppress_context__ if exc_value is not None else False\n\n # Convert __cause__ and __context__ to `TracebackExceptions`s, use a\n # queue to avoid recursion (only the top-level call gets _seen == None)\n if not is_recursive_call:\n queue = [(self, exc_value)]\n while queue:\n te, e = queue.pop()\n if (e and e.__cause__ is not None\n and id(e.__cause__) not in _seen):\n cause = TracebackException(\n type(e.__cause__),\n e.__cause__,\n e.__cause__.__traceback__,\n limit=limit,\n lookup_lines=lookup_lines,\n capture_locals=capture_locals,\n max_group_width=max_group_width,\n max_group_depth=max_group_depth,\n _seen=_seen)\n else:\n cause = None\n\n if compact:\n need_context = (cause is None and\n e is not None and\n not e.__suppress_context__)\n else:\n need_context = True\n if (e and e.__context__ is not None\n and need_context and id(e.__context__) not in _seen):\n context = TracebackException(\n type(e.__context__),\n e.__context__,\n e.__context__.__traceback__,\n limit=limit,\n lookup_lines=lookup_lines,\n capture_locals=capture_locals,\n max_group_width=max_group_width,\n max_group_depth=max_group_depth,\n _seen=_seen)\n else:\n context = None\n\n if e and isinstance(e, BaseExceptionGroup):\n exceptions = []\n for exc in e.exceptions:\n texc = TracebackException(\n type(exc),\n exc,\n exc.__traceback__,\n limit=limit,\n lookup_lines=lookup_lines,\n capture_locals=capture_locals,\n max_group_width=max_group_width,\n max_group_depth=max_group_depth,\n _seen=_seen)\n exceptions.append(texc)\n else:\n exceptions = None\n\n te.__cause__ = cause\n te.__context__ = context\n te.exceptions = exceptions\n if cause:\n queue.append((te.__cause__, e.__cause__))\n if context:\n queue.append((te.__context__, e.__context__))\n if exceptions:\n queue.extend(zip(te.exceptions, e.exceptions))\n\n @classmethod\n def from_exception(cls, exc, *args, **kwargs):\n \"\"\"Create a TracebackException from an exception.\"\"\"\n return cls(type(exc), exc, exc.__traceback__, *args, **kwargs)\n\n def _load_lines(self):\n \"\"\"Private API. force all lines in the stack to be loaded.\"\"\"\n for frame in self.stack:\n frame.line\n\n def __eq__(self, other):\n if isinstance(other, TracebackException):\n return self.__dict__ == other.__dict__\n return NotImplemented\n\n def __str__(self):\n return self._str\n\n def format_exception_only(self):\n \"\"\"Format the exception part of the traceback.\n\n The return value is a generator of strings, each ending in a newline.\n\n Generator yields the exception message.\n For :exc:`SyntaxError` exceptions, it\n also yields (before the exception message)\n several lines that (when printed)\n display detailed information about where the syntax error occurred.\n Following the message, generator also yields\n all the exception's ``__notes__``.\n \"\"\"\n if self.exc_type is None:\n yield _format_final_exc_line(None, self._str)\n return\n\n stype = self.exc_type.__qualname__\n smod = self.exc_type.__module__\n if smod not in (\"__main__\", \"builtins\"):\n if not isinstance(smod, str):\n smod = \"\"\n stype = smod + '.' + stype\n\n if not issubclass(self.exc_type, SyntaxError):\n yield _format_final_exc_line(stype, self._str)\n else:\n yield from self._format_syntax_error(stype)\n\n if (\n isinstance(self.__notes__, collections.abc.Sequence)\n and not isinstance(self.__notes__, (str, bytes))\n ):\n for note in self.__notes__:\n note = _safe_string(note, 'note')\n yield from [l + '\\n' for l in note.split('\\n')]\n elif self.__notes__ is not None:\n yield \"{}\\n\".format(_safe_string(self.__notes__, '__notes__', func=repr))\n\n def _format_syntax_error(self, stype):\n \"\"\"Format SyntaxError exceptions (internal helper).\"\"\"\n # Show exactly where the problem was found.\n filename_suffix = ''\n if self.lineno is not None:\n yield ' File \"{}\", line {}\\n'.format(\n self.filename or \"\", self.lineno)\n elif self.filename is not None:\n filename_suffix = ' ({})'.format(self.filename)\n\n text = self.text\n if text is not None:\n # text = \" foo\\n\"\n # rtext = \" foo\"\n # ltext = \"foo\"\n rtext = text.rstrip('\\n')\n ltext = rtext.lstrip(' \\n\\f')\n spaces = len(rtext) - len(ltext)\n yield ' {}\\n'.format(ltext)\n\n if self.offset is not None:\n offset = self.offset\n end_offset = self.end_offset if self.end_offset not in {None, 0} else offset\n if offset == end_offset or end_offset == -1:\n end_offset = offset + 1\n\n # Convert 1-based column offset to 0-based index into stripped text\n colno = offset - 1 - spaces\n end_colno = end_offset - 1 - spaces\n if colno >= 0:\n # non-space whitespace (likes tabs) must be kept for alignment\n caretspace = ((c if c.isspace() else ' ') for c in ltext[:colno])\n yield ' {}{}'.format(\"\".join(caretspace), ('^' * (end_colno - colno) + \"\\n\"))\n msg = self.msg or \"\"\n yield \"{}: {}{}\\n\".format(stype, msg, filename_suffix)\n\n def format(self, *, chain=True, _ctx=None):\n \"\"\"Format the exception.\n\n If chain is not *True*, *__cause__* and *__context__* will not be formatted.\n\n The return value is a generator of strings, each ending in a newline and\n some containing internal newlines. `print_exception` is a wrapper around\n this method which just prints the lines to a file.\n\n The message indicating which exception occurred is always the last\n string in the output.\n \"\"\"\n\n if _ctx is None:\n _ctx = _ExceptionPrintContext()\n\n output = []\n exc = self\n if chain:\n while exc:\n if exc.__cause__ is not None:\n chained_msg = _cause_message\n chained_exc = exc.__cause__\n elif (exc.__context__ is not None and\n not exc.__suppress_context__):\n chained_msg = _context_message\n chained_exc = exc.__context__\n else:\n chained_msg = None\n chained_exc = None\n\n output.append((chained_msg, exc))\n exc = chained_exc\n else:\n output.append((None, exc))\n\n for msg, exc in reversed(output):\n if msg is not None:\n yield from _ctx.emit(msg)\n if exc.exceptions is None:\n if exc.stack:\n yield from _ctx.emit('Traceback (most recent call last):\\n')\n yield from _ctx.emit(exc.stack.format())\n yield from _ctx.emit(exc.format_exception_only())\n elif _ctx.exception_group_depth > self.max_group_depth:\n # exception group, but depth exceeds limit\n yield from _ctx.emit(\n f\"... (max_group_depth is {self.max_group_depth})\\n\")\n else:\n # format exception group\n is_toplevel = (_ctx.exception_group_depth == 0)\n if is_toplevel:\n _ctx.exception_group_depth += 1\n\n if exc.stack:\n yield from _ctx.emit(\n 'Exception Group Traceback (most recent call last):\\n',\n margin_char = '+' if is_toplevel else None)\n yield from _ctx.emit(exc.stack.format())\n\n yield from _ctx.emit(exc.format_exception_only())\n num_excs = len(exc.exceptions)\n if num_excs <= self.max_group_width:\n n = num_excs\n else:\n n = self.max_group_width + 1\n _ctx.need_close = False\n for i in range(n):\n last_exc = (i == n-1)\n if last_exc:\n # The closing frame may be added by a recursive call\n _ctx.need_close = True\n\n if self.max_group_width is not None:\n truncated = (i >= self.max_group_width)\n else:\n truncated = False\n title = f'{i+1}' if not truncated else '...'\n yield (_ctx.indent() +\n ('+-' if i==0 else ' ') +\n f'+---------------- {title} ----------------\\n')\n _ctx.exception_group_depth += 1\n if not truncated:\n yield from exc.exceptions[i].format(chain=chain, _ctx=_ctx)\n else:\n remaining = num_excs - self.max_group_width\n plural = 's' if remaining > 1 else ''\n yield from _ctx.emit(\n f\"and {remaining} more exception{plural}\\n\")\n\n if last_exc and _ctx.need_close:\n yield (_ctx.indent() +\n \"+------------------------------------\\n\")\n _ctx.need_close = False\n _ctx.exception_group_depth -= 1\n\n if is_toplevel:\n assert _ctx.exception_group_depth == 1\n _ctx.exception_group_depth = 0\n\n\n def print(self, *, file=None, chain=True):\n \"\"\"Print the result of self.format(chain=chain) to 'file'.\"\"\"\n if file is None:\n file = sys.stderr\n for line in self.format(chain=chain):\n print(line, file=file, end=\"\")\n\n\n_MAX_CANDIDATE_ITEMS = 750\n_MAX_STRING_SIZE = 40\n_MOVE_COST = 2\n_CASE_COST = 1\n\n\ndef _substitution_cost(ch_a, ch_b):\n if ch_a == ch_b:\n return 0\n if ch_a.lower() == ch_b.lower():\n return _CASE_COST\n return _MOVE_COST\n\n\ndef _compute_suggestion_error(exc_value, tb, wrong_name):\n if wrong_name is None or not isinstance(wrong_name, str):\n return None\n if isinstance(exc_value, AttributeError):\n obj = exc_value.obj\n try:\n d = dir(obj)\n except Exception:\n return None\n elif isinstance(exc_value, ImportError):\n try:\n mod = __import__(exc_value.name)\n d = dir(mod)\n except Exception:\n return None\n else:\n assert isinstance(exc_value, NameError)\n # find most recent frame\n if tb is None:\n return None\n while tb.tb_next is not None:\n tb = tb.tb_next\n frame = tb.tb_frame\n d = (\n list(frame.f_locals)\n + list(frame.f_globals)\n + list(frame.f_builtins)\n )\n\n # Check first if we are in a method and the instance\n # has the wrong name as attribute\n if 'self' in frame.f_locals:\n self = frame.f_locals['self']\n if hasattr(self, wrong_name):\n return f\"self.{wrong_name}\"\n\n # Compute closest match\n\n if len(d) > _MAX_CANDIDATE_ITEMS:\n return None\n wrong_name_len = len(wrong_name)\n if wrong_name_len > _MAX_STRING_SIZE:\n return None\n best_distance = wrong_name_len\n suggestion = None\n for possible_name in d:\n if possible_name == wrong_name:\n # A missing attribute is \"found\". Don't suggest it (see GH-88821).\n continue\n # No more than 1/3 of the involved characters should need changed.\n max_distance = (len(possible_name) + wrong_name_len + 3) * _MOVE_COST // 6\n # Don't take matches we've already beaten.\n max_distance = min(max_distance, best_distance - 1)\n current_distance = _levenshtein_distance(wrong_name, possible_name, max_distance)\n if current_distance > max_distance:\n continue\n if not suggestion or current_distance < best_distance:\n suggestion = possible_name\n best_distance = current_distance\n return suggestion\n\n\ndef _levenshtein_distance(a, b, max_cost):\n # A Python implementation of Python/suggestions.c:levenshtein_distance.\n\n # Both strings are the same\n if a == b:\n return 0\n\n # Trim away common affixes\n pre = 0\n while a[pre:] and b[pre:] and a[pre] == b[pre]:\n pre += 1\n a = a[pre:]\n b = b[pre:]\n post = 0\n while a[:post or None] and b[:post or None] and a[post-1] == b[post-1]:\n post -= 1\n a = a[:post or None]\n b = b[:post or None]\n if not a or not b:\n return _MOVE_COST * (len(a) + len(b))\n if len(a) > _MAX_STRING_SIZE or len(b) > _MAX_STRING_SIZE:\n return max_cost + 1\n\n # Prefer shorter buffer\n if len(b) < len(a):\n a, b = b, a\n\n # Quick fail when a match is impossible\n if (len(b) - len(a)) * _MOVE_COST > max_cost:\n return max_cost + 1\n\n # Instead of producing the whole traditional len(a)-by-len(b)\n # matrix, we can update just one row in place.\n # Initialize the buffer row\n row = list(range(_MOVE_COST, _MOVE_COST * (len(a) + 1), _MOVE_COST))\n\n result = 0\n for bindex in range(len(b)):\n bchar = b[bindex]\n distance = result = bindex * _MOVE_COST\n minimum = sys.maxsize\n for index in range(len(a)):\n # 1) Previous distance in this row is cost(b[:b_index], a[:index])\n substitute = distance + _substitution_cost(bchar, a[index])\n # 2) cost(b[:b_index], a[:index+1]) from previous row\n distance = row[index]\n # 3) existing result is cost(b[:b_index+1], a[index])\n\n insert_delete = min(result, distance) + _MOVE_COST\n result = min(insert_delete, substitute)\n\n # cost(b[:b_index+1], a[:index+1])\n row[index] = result\n if result < minimum:\n minimum = result\n if minimum > max_cost:\n # Everything in this row is too big, so bail early.\n return max_cost + 1\n return result\n", 1187], "/usr/lib/python3.12/collections/__init__.py": ["'''This module implements specialized container datatypes providing\nalternatives to Python's general purpose built-in containers, dict,\nlist, set, and tuple.\n\n* namedtuple factory function for creating tuple subclasses with named fields\n* deque list-like container with fast appends and pops on either end\n* ChainMap dict-like class for creating a single view of multiple mappings\n* Counter dict subclass for counting hashable objects\n* OrderedDict dict subclass that remembers the order entries were added\n* defaultdict dict subclass that calls a factory function to supply missing values\n* UserDict wrapper around dictionary objects for easier dict subclassing\n* UserList wrapper around list objects for easier list subclassing\n* UserString wrapper around string objects for easier string subclassing\n\n'''\n\n__all__ = [\n 'ChainMap',\n 'Counter',\n 'OrderedDict',\n 'UserDict',\n 'UserList',\n 'UserString',\n 'defaultdict',\n 'deque',\n 'namedtuple',\n]\n\nimport _collections_abc\nimport sys as _sys\n\nfrom itertools import chain as _chain\nfrom itertools import repeat as _repeat\nfrom itertools import starmap as _starmap\nfrom keyword import iskeyword as _iskeyword\nfrom operator import eq as _eq\nfrom operator import itemgetter as _itemgetter\nfrom reprlib import recursive_repr as _recursive_repr\nfrom _weakref import proxy as _proxy\n\ntry:\n from _collections import deque\nexcept ImportError:\n pass\nelse:\n _collections_abc.MutableSequence.register(deque)\n\ntry:\n from _collections import _deque_iterator\nexcept ImportError:\n pass\n\ntry:\n from _collections import defaultdict\nexcept ImportError:\n pass\n\n\n################################################################################\n### OrderedDict\n################################################################################\n\nclass _OrderedDictKeysView(_collections_abc.KeysView):\n\n def __reversed__(self):\n yield from reversed(self._mapping)\n\nclass _OrderedDictItemsView(_collections_abc.ItemsView):\n\n def __reversed__(self):\n for key in reversed(self._mapping):\n yield (key, self._mapping[key])\n\nclass _OrderedDictValuesView(_collections_abc.ValuesView):\n\n def __reversed__(self):\n for key in reversed(self._mapping):\n yield self._mapping[key]\n\nclass _Link(object):\n __slots__ = 'prev', 'next', 'key', '__weakref__'\n\nclass OrderedDict(dict):\n 'Dictionary that remembers insertion order'\n # An inherited dict maps keys to values.\n # The inherited dict provides __getitem__, __len__, __contains__, and get.\n # The remaining methods are order-aware.\n # Big-O running times for all methods are the same as regular dictionaries.\n\n # The internal self.__map dict maps keys to links in a doubly linked list.\n # The circular doubly linked list starts and ends with a sentinel element.\n # The sentinel element never gets deleted (this simplifies the algorithm).\n # The sentinel is in self.__hardroot with a weakref proxy in self.__root.\n # The prev links are weakref proxies (to prevent circular references).\n # Individual links are kept alive by the hard reference in self.__map.\n # Those hard references disappear when a key is deleted from an OrderedDict.\n\n def __new__(cls, /, *args, **kwds):\n \"Create the ordered dict object and set up the underlying structures.\"\n self = dict.__new__(cls)\n self.__hardroot = _Link()\n self.__root = root = _proxy(self.__hardroot)\n root.prev = root.next = root\n self.__map = {}\n return self\n\n def __init__(self, other=(), /, **kwds):\n '''Initialize an ordered dictionary. The signature is the same as\n regular dictionaries. Keyword argument order is preserved.\n '''\n self.__update(other, **kwds)\n\n def __setitem__(self, key, value,\n dict_setitem=dict.__setitem__, proxy=_proxy, Link=_Link):\n 'od.__setitem__(i, y) <==> od[i]=y'\n # Setting a new item creates a new link at the end of the linked list,\n # and the inherited dictionary is updated with the new key/value pair.\n if key not in self:\n self.__map[key] = link = Link()\n root = self.__root\n last = root.prev\n link.prev, link.next, link.key = last, root, key\n last.next = link\n root.prev = proxy(link)\n dict_setitem(self, key, value)\n\n def __delitem__(self, key, dict_delitem=dict.__delitem__):\n 'od.__delitem__(y) <==> del od[y]'\n # Deleting an existing item uses self.__map to find the link which gets\n # removed by updating the links in the predecessor and successor nodes.\n dict_delitem(self, key)\n link = self.__map.pop(key)\n link_prev = link.prev\n link_next = link.next\n link_prev.next = link_next\n link_next.prev = link_prev\n link.prev = None\n link.next = None\n\n def __iter__(self):\n 'od.__iter__() <==> iter(od)'\n # Traverse the linked list in order.\n root = self.__root\n curr = root.next\n while curr is not root:\n yield curr.key\n curr = curr.next\n\n def __reversed__(self):\n 'od.__reversed__() <==> reversed(od)'\n # Traverse the linked list in reverse order.\n root = self.__root\n curr = root.prev\n while curr is not root:\n yield curr.key\n curr = curr.prev\n\n def clear(self):\n 'od.clear() -> None. Remove all items from od.'\n root = self.__root\n root.prev = root.next = root\n self.__map.clear()\n dict.clear(self)\n\n def popitem(self, last=True):\n '''Remove and return a (key, value) pair from the dictionary.\n\n Pairs are returned in LIFO order if last is true or FIFO order if false.\n '''\n if not self:\n raise KeyError('dictionary is empty')\n root = self.__root\n if last:\n link = root.prev\n link_prev = link.prev\n link_prev.next = root\n root.prev = link_prev\n else:\n link = root.next\n link_next = link.next\n root.next = link_next\n link_next.prev = root\n key = link.key\n del self.__map[key]\n value = dict.pop(self, key)\n return key, value\n\n def move_to_end(self, key, last=True):\n '''Move an existing element to the end (or beginning if last is false).\n\n Raise KeyError if the element does not exist.\n '''\n link = self.__map[key]\n link_prev = link.prev\n link_next = link.next\n soft_link = link_next.prev\n link_prev.next = link_next\n link_next.prev = link_prev\n root = self.__root\n if last:\n last = root.prev\n link.prev = last\n link.next = root\n root.prev = soft_link\n last.next = link\n else:\n first = root.next\n link.prev = root\n link.next = first\n first.prev = soft_link\n root.next = link\n\n def __sizeof__(self):\n sizeof = _sys.getsizeof\n n = len(self) + 1 # number of links including root\n size = sizeof(self.__dict__) # instance dictionary\n size += sizeof(self.__map) * 2 # internal dict and inherited dict\n size += sizeof(self.__hardroot) * n # link objects\n size += sizeof(self.__root) * n # proxy objects\n return size\n\n update = __update = _collections_abc.MutableMapping.update\n\n def keys(self):\n \"D.keys() -> a set-like object providing a view on D's keys\"\n return _OrderedDictKeysView(self)\n\n def items(self):\n \"D.items() -> a set-like object providing a view on D's items\"\n return _OrderedDictItemsView(self)\n\n def values(self):\n \"D.values() -> an object providing a view on D's values\"\n return _OrderedDictValuesView(self)\n\n __ne__ = _collections_abc.MutableMapping.__ne__\n\n __marker = object()\n\n def pop(self, key, default=__marker):\n '''od.pop(k[,d]) -> v, remove specified key and return the corresponding\n value. If key is not found, d is returned if given, otherwise KeyError\n is raised.\n\n '''\n marker = self.__marker\n result = dict.pop(self, key, marker)\n if result is not marker:\n # The same as in __delitem__().\n link = self.__map.pop(key)\n link_prev = link.prev\n link_next = link.next\n link_prev.next = link_next\n link_next.prev = link_prev\n link.prev = None\n link.next = None\n return result\n if default is marker:\n raise KeyError(key)\n return default\n\n def setdefault(self, key, default=None):\n '''Insert key with a value of default if key is not in the dictionary.\n\n Return the value for key if key is in the dictionary, else default.\n '''\n if key in self:\n return self[key]\n self[key] = default\n return default\n\n @_recursive_repr()\n def __repr__(self):\n 'od.__repr__() <==> repr(od)'\n if not self:\n return '%s()' % (self.__class__.__name__,)\n return '%s(%r)' % (self.__class__.__name__, dict(self.items()))\n\n def __reduce__(self):\n 'Return state information for pickling'\n state = self.__getstate__()\n if state:\n if isinstance(state, tuple):\n state, slots = state\n else:\n slots = {}\n state = state.copy()\n slots = slots.copy()\n for k in vars(OrderedDict()):\n state.pop(k, None)\n slots.pop(k, None)\n if slots:\n state = state, slots\n else:\n state = state or None\n return self.__class__, (), state, None, iter(self.items())\n\n def copy(self):\n 'od.copy() -> a shallow copy of od'\n return self.__class__(self)\n\n @classmethod\n def fromkeys(cls, iterable, value=None):\n '''Create a new ordered dictionary with keys from iterable and values set to value.\n '''\n self = cls()\n for key in iterable:\n self[key] = value\n return self\n\n def __eq__(self, other):\n '''od.__eq__(y) <==> od==y. Comparison to another OD is order-sensitive\n while comparison to a regular mapping is order-insensitive.\n\n '''\n if isinstance(other, OrderedDict):\n return dict.__eq__(self, other) and all(map(_eq, self, other))\n return dict.__eq__(self, other)\n\n def __ior__(self, other):\n self.update(other)\n return self\n\n def __or__(self, other):\n if not isinstance(other, dict):\n return NotImplemented\n new = self.__class__(self)\n new.update(other)\n return new\n\n def __ror__(self, other):\n if not isinstance(other, dict):\n return NotImplemented\n new = self.__class__(other)\n new.update(self)\n return new\n\n\ntry:\n from _collections import OrderedDict\nexcept ImportError:\n # Leave the pure Python version in place.\n pass\n\n\n################################################################################\n### namedtuple\n################################################################################\n\ntry:\n from _collections import _tuplegetter\nexcept ImportError:\n _tuplegetter = lambda index, doc: property(_itemgetter(index), doc=doc)\n\ndef namedtuple(typename, field_names, *, rename=False, defaults=None, module=None):\n \"\"\"Returns a new subclass of tuple with named fields.\n\n >>> Point = namedtuple('Point', ['x', 'y'])\n >>> Point.__doc__ # docstring for the new class\n 'Point(x, y)'\n >>> p = Point(11, y=22) # instantiate with positional args or keywords\n >>> p[0] + p[1] # indexable like a plain tuple\n 33\n >>> x, y = p # unpack like a regular tuple\n >>> x, y\n (11, 22)\n >>> p.x + p.y # fields also accessible by name\n 33\n >>> d = p._asdict() # convert to a dictionary\n >>> d['x']\n 11\n >>> Point(**d) # convert from a dictionary\n Point(x=11, y=22)\n >>> p._replace(x=100) # _replace() is like str.replace() but targets named fields\n Point(x=100, y=22)\n\n \"\"\"\n\n # Validate the field names. At the user's option, either generate an error\n # message or automatically replace the field name with a valid name.\n if isinstance(field_names, str):\n field_names = field_names.replace(',', ' ').split()\n field_names = list(map(str, field_names))\n typename = _sys.intern(str(typename))\n\n if rename:\n seen = set()\n for index, name in enumerate(field_names):\n if (not name.isidentifier()\n or _iskeyword(name)\n or name.startswith('_')\n or name in seen):\n field_names[index] = f'_{index}'\n seen.add(name)\n\n for name in [typename] + field_names:\n if type(name) is not str:\n raise TypeError('Type names and field names must be strings')\n if not name.isidentifier():\n raise ValueError('Type names and field names must be valid '\n f'identifiers: {name!r}')\n if _iskeyword(name):\n raise ValueError('Type names and field names cannot be a '\n f'keyword: {name!r}')\n\n seen = set()\n for name in field_names:\n if name.startswith('_') and not rename:\n raise ValueError('Field names cannot start with an underscore: '\n f'{name!r}')\n if name in seen:\n raise ValueError(f'Encountered duplicate field name: {name!r}')\n seen.add(name)\n\n field_defaults = {}\n if defaults is not None:\n defaults = tuple(defaults)\n if len(defaults) > len(field_names):\n raise TypeError('Got more default values than field names')\n field_defaults = dict(reversed(list(zip(reversed(field_names),\n reversed(defaults)))))\n\n # Variables used in the methods and docstrings\n field_names = tuple(map(_sys.intern, field_names))\n num_fields = len(field_names)\n arg_list = ', '.join(field_names)\n if num_fields == 1:\n arg_list += ','\n repr_fmt = '(' + ', '.join(f'{name}=%r' for name in field_names) + ')'\n tuple_new = tuple.__new__\n _dict, _tuple, _len, _map, _zip = dict, tuple, len, map, zip\n\n # Create all the named tuple methods to be added to the class namespace\n\n namespace = {\n '_tuple_new': tuple_new,\n '__builtins__': {},\n '__name__': f'namedtuple_{typename}',\n }\n code = f'lambda _cls, {arg_list}: _tuple_new(_cls, ({arg_list}))'\n __new__ = eval(code, namespace)\n __new__.__name__ = '__new__'\n __new__.__doc__ = f'Create new instance of {typename}({arg_list})'\n if defaults is not None:\n __new__.__defaults__ = defaults\n\n @classmethod\n def _make(cls, iterable):\n result = tuple_new(cls, iterable)\n if _len(result) != num_fields:\n raise TypeError(f'Expected {num_fields} arguments, got {len(result)}')\n return result\n\n _make.__func__.__doc__ = (f'Make a new {typename} object from a sequence '\n 'or iterable')\n\n def _replace(self, /, **kwds):\n result = self._make(_map(kwds.pop, field_names, self))\n if kwds:\n raise ValueError(f'Got unexpected field names: {list(kwds)!r}')\n return result\n\n _replace.__doc__ = (f'Return a new {typename} object replacing specified '\n 'fields with new values')\n\n def __repr__(self):\n 'Return a nicely formatted representation string'\n return self.__class__.__name__ + repr_fmt % self\n\n def _asdict(self):\n 'Return a new dict which maps field names to their values.'\n return _dict(_zip(self._fields, self))\n\n def __getnewargs__(self):\n 'Return self as a plain tuple. Used by copy and pickle.'\n return _tuple(self)\n\n # Modify function metadata to help with introspection and debugging\n for method in (\n __new__,\n _make.__func__,\n _replace,\n __repr__,\n _asdict,\n __getnewargs__,\n ):\n method.__qualname__ = f'{typename}.{method.__name__}'\n\n # Build-up the class namespace dictionary\n # and use type() to build the result class\n class_namespace = {\n '__doc__': f'{typename}({arg_list})',\n '__slots__': (),\n '_fields': field_names,\n '_field_defaults': field_defaults,\n '__new__': __new__,\n '_make': _make,\n '_replace': _replace,\n '__repr__': __repr__,\n '_asdict': _asdict,\n '__getnewargs__': __getnewargs__,\n '__match_args__': field_names,\n }\n for index, name in enumerate(field_names):\n doc = _sys.intern(f'Alias for field number {index}')\n class_namespace[name] = _tuplegetter(index, doc)\n\n result = type(typename, (tuple,), class_namespace)\n\n # For pickling to work, the __module__ variable needs to be set to the frame\n # where the named tuple is created. Bypass this step in environments where\n # sys._getframe is not defined (Jython for example) or sys._getframe is not\n # defined for arguments greater than 0 (IronPython), or where the user has\n # specified a particular module.\n if module is None:\n try:\n module = _sys._getframemodulename(1) or '__main__'\n except AttributeError:\n try:\n module = _sys._getframe(1).f_globals.get('__name__', '__main__')\n except (AttributeError, ValueError):\n pass\n if module is not None:\n result.__module__ = module\n\n return result\n\n\n########################################################################\n### Counter\n########################################################################\n\ndef _count_elements(mapping, iterable):\n 'Tally elements from the iterable.'\n mapping_get = mapping.get\n for elem in iterable:\n mapping[elem] = mapping_get(elem, 0) + 1\n\ntry: # Load C helper function if available\n from _collections import _count_elements\nexcept ImportError:\n pass\n\nclass Counter(dict):\n '''Dict subclass for counting hashable items. Sometimes called a bag\n or multiset. Elements are stored as dictionary keys and their counts\n are stored as dictionary values.\n\n >>> c = Counter('abcdeabcdabcaba') # count elements from a string\n\n >>> c.most_common(3) # three most common elements\n [('a', 5), ('b', 4), ('c', 3)]\n >>> sorted(c) # list all unique elements\n ['a', 'b', 'c', 'd', 'e']\n >>> ''.join(sorted(c.elements())) # list elements with repetitions\n 'aaaaabbbbcccdde'\n >>> sum(c.values()) # total of all counts\n 15\n\n >>> c['a'] # count of letter 'a'\n 5\n >>> for elem in 'shazam': # update counts from an iterable\n ... c[elem] += 1 # by adding 1 to each element's count\n >>> c['a'] # now there are seven 'a'\n 7\n >>> del c['b'] # remove all 'b'\n >>> c['b'] # now there are zero 'b'\n 0\n\n >>> d = Counter('simsalabim') # make another counter\n >>> c.update(d) # add in the second counter\n >>> c['a'] # now there are nine 'a'\n 9\n\n >>> c.clear() # empty the counter\n >>> c\n Counter()\n\n Note: If a count is set to zero or reduced to zero, it will remain\n in the counter until the entry is deleted or the counter is cleared:\n\n >>> c = Counter('aaabbc')\n >>> c['b'] -= 2 # reduce the count of 'b' by two\n >>> c.most_common() # 'b' is still in, but its count is zero\n [('a', 3), ('c', 1), ('b', 0)]\n\n '''\n # References:\n # http://en.wikipedia.org/wiki/Multiset\n # http://www.gnu.org/software/smalltalk/manual-base/html_node/Bag.html\n # http://www.demo2s.com/Tutorial/Cpp/0380__set-multiset/Catalog0380__set-multiset.htm\n # http://code.activestate.com/recipes/259174/\n # Knuth, TAOCP Vol. II section 4.6.3\n\n def __init__(self, iterable=None, /, **kwds):\n '''Create a new, empty Counter object. And if given, count elements\n from an input iterable. Or, initialize the count from another mapping\n of elements to their counts.\n\n >>> c = Counter() # a new, empty counter\n >>> c = Counter('gallahad') # a new counter from an iterable\n >>> c = Counter({'a': 4, 'b': 2}) # a new counter from a mapping\n >>> c = Counter(a=4, b=2) # a new counter from keyword args\n\n '''\n super().__init__()\n self.update(iterable, **kwds)\n\n def __missing__(self, key):\n 'The count of elements not in the Counter is zero.'\n # Needed so that self[missing_item] does not raise KeyError\n return 0\n\n def total(self):\n 'Sum of the counts'\n return sum(self.values())\n\n def most_common(self, n=None):\n '''List the n most common elements and their counts from the most\n common to the least. If n is None, then list all element counts.\n\n >>> Counter('abracadabra').most_common(3)\n [('a', 5), ('b', 2), ('r', 2)]\n\n '''\n # Emulate Bag.sortedByCount from Smalltalk\n if n is None:\n return sorted(self.items(), key=_itemgetter(1), reverse=True)\n\n # Lazy import to speedup Python startup time\n import heapq\n return heapq.nlargest(n, self.items(), key=_itemgetter(1))\n\n def elements(self):\n '''Iterator over elements repeating each as many times as its count.\n\n >>> c = Counter('ABCABC')\n >>> sorted(c.elements())\n ['A', 'A', 'B', 'B', 'C', 'C']\n\n Knuth's example for prime factors of 1836: 2**2 * 3**3 * 17**1\n\n >>> import math\n >>> prime_factors = Counter({2: 2, 3: 3, 17: 1})\n >>> math.prod(prime_factors.elements())\n 1836\n\n Note, if an element's count has been set to zero or is a negative\n number, elements() will ignore it.\n\n '''\n # Emulate Bag.do from Smalltalk and Multiset.begin from C++.\n return _chain.from_iterable(_starmap(_repeat, self.items()))\n\n # Override dict methods where necessary\n\n @classmethod\n def fromkeys(cls, iterable, v=None):\n # There is no equivalent method for counters because the semantics\n # would be ambiguous in cases such as Counter.fromkeys('aaabbc', v=2).\n # Initializing counters to zero values isn't necessary because zero\n # is already the default value for counter lookups. Initializing\n # to one is easily accomplished with Counter(set(iterable)). For\n # more exotic cases, create a dictionary first using a dictionary\n # comprehension or dict.fromkeys().\n raise NotImplementedError(\n 'Counter.fromkeys() is undefined. Use Counter(iterable) instead.')\n\n def update(self, iterable=None, /, **kwds):\n '''Like dict.update() but add counts instead of replacing them.\n\n Source can be an iterable, a dictionary, or another Counter instance.\n\n >>> c = Counter('which')\n >>> c.update('witch') # add elements from another iterable\n >>> d = Counter('watch')\n >>> c.update(d) # add elements from another counter\n >>> c['h'] # four 'h' in which, witch, and watch\n 4\n\n '''\n # The regular dict.update() operation makes no sense here because the\n # replace behavior results in some of the original untouched counts\n # being mixed-in with all of the other counts for a mismash that\n # doesn't have a straight-forward interpretation in most counting\n # contexts. Instead, we implement straight-addition. Both the inputs\n # and outputs are allowed to contain zero and negative counts.\n\n if iterable is not None:\n if isinstance(iterable, _collections_abc.Mapping):\n if self:\n self_get = self.get\n for elem, count in iterable.items():\n self[elem] = count + self_get(elem, 0)\n else:\n # fast path when counter is empty\n super().update(iterable)\n else:\n _count_elements(self, iterable)\n if kwds:\n self.update(kwds)\n\n def subtract(self, iterable=None, /, **kwds):\n '''Like dict.update() but subtracts counts instead of replacing them.\n Counts can be reduced below zero. Both the inputs and outputs are\n allowed to contain zero and negative counts.\n\n Source can be an iterable, a dictionary, or another Counter instance.\n\n >>> c = Counter('which')\n >>> c.subtract('witch') # subtract elements from another iterable\n >>> c.subtract(Counter('watch')) # subtract elements from another counter\n >>> c['h'] # 2 in which, minus 1 in witch, minus 1 in watch\n 0\n >>> c['w'] # 1 in which, minus 1 in witch, minus 1 in watch\n -1\n\n '''\n if iterable is not None:\n self_get = self.get\n if isinstance(iterable, _collections_abc.Mapping):\n for elem, count in iterable.items():\n self[elem] = self_get(elem, 0) - count\n else:\n for elem in iterable:\n self[elem] = self_get(elem, 0) - 1\n if kwds:\n self.subtract(kwds)\n\n def copy(self):\n 'Return a shallow copy.'\n return self.__class__(self)\n\n def __reduce__(self):\n return self.__class__, (dict(self),)\n\n def __delitem__(self, elem):\n 'Like dict.__delitem__() but does not raise KeyError for missing values.'\n if elem in self:\n super().__delitem__(elem)\n\n def __repr__(self):\n if not self:\n return f'{self.__class__.__name__}()'\n try:\n # dict() preserves the ordering returned by most_common()\n d = dict(self.most_common())\n except TypeError:\n # handle case where values are not orderable\n d = dict(self)\n return f'{self.__class__.__name__}({d!r})'\n\n # Multiset-style mathematical operations discussed in:\n # Knuth TAOCP Volume II section 4.6.3 exercise 19\n # and at http://en.wikipedia.org/wiki/Multiset\n #\n # Outputs guaranteed to only include positive counts.\n #\n # To strip negative and zero counts, add-in an empty counter:\n # c += Counter()\n #\n # Results are ordered according to when an element is first\n # encountered in the left operand and then by the order\n # encountered in the right operand.\n #\n # When the multiplicities are all zero or one, multiset operations\n # are guaranteed to be equivalent to the corresponding operations\n # for regular sets.\n # Given counter multisets such as:\n # cp = Counter(a=1, b=0, c=1)\n # cq = Counter(c=1, d=0, e=1)\n # The corresponding regular sets would be:\n # sp = {'a', 'c'}\n # sq = {'c', 'e'}\n # All of the following relations would hold:\n # set(cp + cq) == sp | sq\n # set(cp - cq) == sp - sq\n # set(cp | cq) == sp | sq\n # set(cp & cq) == sp & sq\n # (cp == cq) == (sp == sq)\n # (cp != cq) == (sp != sq)\n # (cp <= cq) == (sp <= sq)\n # (cp < cq) == (sp < sq)\n # (cp >= cq) == (sp >= sq)\n # (cp > cq) == (sp > sq)\n\n def __eq__(self, other):\n 'True if all counts agree. Missing counts are treated as zero.'\n if not isinstance(other, Counter):\n return NotImplemented\n return all(self[e] == other[e] for c in (self, other) for e in c)\n\n def __ne__(self, other):\n 'True if any counts disagree. Missing counts are treated as zero.'\n if not isinstance(other, Counter):\n return NotImplemented\n return not self == other\n\n def __le__(self, other):\n 'True if all counts in self are a subset of those in other.'\n if not isinstance(other, Counter):\n return NotImplemented\n return all(self[e] <= other[e] for c in (self, other) for e in c)\n\n def __lt__(self, other):\n 'True if all counts in self are a proper subset of those in other.'\n if not isinstance(other, Counter):\n return NotImplemented\n return self <= other and self != other\n\n def __ge__(self, other):\n 'True if all counts in self are a superset of those in other.'\n if not isinstance(other, Counter):\n return NotImplemented\n return all(self[e] >= other[e] for c in (self, other) for e in c)\n\n def __gt__(self, other):\n 'True if all counts in self are a proper superset of those in other.'\n if not isinstance(other, Counter):\n return NotImplemented\n return self >= other and self != other\n\n def __add__(self, other):\n '''Add counts from two counters.\n\n >>> Counter('abbb') + Counter('bcc')\n Counter({'b': 4, 'c': 2, 'a': 1})\n\n '''\n if not isinstance(other, Counter):\n return NotImplemented\n result = Counter()\n for elem, count in self.items():\n newcount = count + other[elem]\n if newcount > 0:\n result[elem] = newcount\n for elem, count in other.items():\n if elem not in self and count > 0:\n result[elem] = count\n return result\n\n def __sub__(self, other):\n ''' Subtract count, but keep only results with positive counts.\n\n >>> Counter('abbbc') - Counter('bccd')\n Counter({'b': 2, 'a': 1})\n\n '''\n if not isinstance(other, Counter):\n return NotImplemented\n result = Counter()\n for elem, count in self.items():\n newcount = count - other[elem]\n if newcount > 0:\n result[elem] = newcount\n for elem, count in other.items():\n if elem not in self and count < 0:\n result[elem] = 0 - count\n return result\n\n def __or__(self, other):\n '''Union is the maximum of value in either of the input counters.\n\n >>> Counter('abbb') | Counter('bcc')\n Counter({'b': 3, 'c': 2, 'a': 1})\n\n '''\n if not isinstance(other, Counter):\n return NotImplemented\n result = Counter()\n for elem, count in self.items():\n other_count = other[elem]\n newcount = other_count if count < other_count else count\n if newcount > 0:\n result[elem] = newcount\n for elem, count in other.items():\n if elem not in self and count > 0:\n result[elem] = count\n return result\n\n def __and__(self, other):\n ''' Intersection is the minimum of corresponding counts.\n\n >>> Counter('abbb') & Counter('bcc')\n Counter({'b': 1})\n\n '''\n if not isinstance(other, Counter):\n return NotImplemented\n result = Counter()\n for elem, count in self.items():\n other_count = other[elem]\n newcount = count if count < other_count else other_count\n if newcount > 0:\n result[elem] = newcount\n return result\n\n def __pos__(self):\n 'Adds an empty counter, effectively stripping negative and zero counts'\n result = Counter()\n for elem, count in self.items():\n if count > 0:\n result[elem] = count\n return result\n\n def __neg__(self):\n '''Subtracts from an empty counter. Strips positive and zero counts,\n and flips the sign on negative counts.\n\n '''\n result = Counter()\n for elem, count in self.items():\n if count < 0:\n result[elem] = 0 - count\n return result\n\n def _keep_positive(self):\n '''Internal method to strip elements with a negative or zero count'''\n nonpositive = [elem for elem, count in self.items() if not count > 0]\n for elem in nonpositive:\n del self[elem]\n return self\n\n def __iadd__(self, other):\n '''Inplace add from another counter, keeping only positive counts.\n\n >>> c = Counter('abbb')\n >>> c += Counter('bcc')\n >>> c\n Counter({'b': 4, 'c': 2, 'a': 1})\n\n '''\n for elem, count in other.items():\n self[elem] += count\n return self._keep_positive()\n\n def __isub__(self, other):\n '''Inplace subtract counter, but keep only results with positive counts.\n\n >>> c = Counter('abbbc')\n >>> c -= Counter('bccd')\n >>> c\n Counter({'b': 2, 'a': 1})\n\n '''\n for elem, count in other.items():\n self[elem] -= count\n return self._keep_positive()\n\n def __ior__(self, other):\n '''Inplace union is the maximum of value from either counter.\n\n >>> c = Counter('abbb')\n >>> c |= Counter('bcc')\n >>> c\n Counter({'b': 3, 'c': 2, 'a': 1})\n\n '''\n for elem, other_count in other.items():\n count = self[elem]\n if other_count > count:\n self[elem] = other_count\n return self._keep_positive()\n\n def __iand__(self, other):\n '''Inplace intersection is the minimum of corresponding counts.\n\n >>> c = Counter('abbb')\n >>> c &= Counter('bcc')\n >>> c\n Counter({'b': 1})\n\n '''\n for elem, count in self.items():\n other_count = other[elem]\n if other_count < count:\n self[elem] = other_count\n return self._keep_positive()\n\n\n########################################################################\n### ChainMap\n########################################################################\n\nclass ChainMap(_collections_abc.MutableMapping):\n ''' A ChainMap groups multiple dicts (or other mappings) together\n to create a single, updateable view.\n\n The underlying mappings are stored in a list. That list is public and can\n be accessed or updated using the *maps* attribute. There is no other\n state.\n\n Lookups search the underlying mappings successively until a key is found.\n In contrast, writes, updates, and deletions only operate on the first\n mapping.\n\n '''\n\n def __init__(self, *maps):\n '''Initialize a ChainMap by setting *maps* to the given mappings.\n If no mappings are provided, a single empty dictionary is used.\n\n '''\n self.maps = list(maps) or [{}] # always at least one map\n\n def __missing__(self, key):\n raise KeyError(key)\n\n def __getitem__(self, key):\n for mapping in self.maps:\n try:\n return mapping[key] # can't use 'key in mapping' with defaultdict\n except KeyError:\n pass\n return self.__missing__(key) # support subclasses that define __missing__\n\n def get(self, key, default=None):\n return self[key] if key in self else default\n\n def __len__(self):\n return len(set().union(*self.maps)) # reuses stored hash values if possible\n\n def __iter__(self):\n d = {}\n for mapping in map(dict.fromkeys, reversed(self.maps)):\n d |= mapping # reuses stored hash values if possible\n return iter(d)\n\n def __contains__(self, key):\n return any(key in m for m in self.maps)\n\n def __bool__(self):\n return any(self.maps)\n\n @_recursive_repr()\n def __repr__(self):\n return f'{self.__class__.__name__}({\", \".join(map(repr, self.maps))})'\n\n @classmethod\n def fromkeys(cls, iterable, *args):\n 'Create a ChainMap with a single dict created from the iterable.'\n return cls(dict.fromkeys(iterable, *args))\n\n def copy(self):\n 'New ChainMap or subclass with a new copy of maps[0] and refs to maps[1:]'\n return self.__class__(self.maps[0].copy(), *self.maps[1:])\n\n __copy__ = copy\n\n def new_child(self, m=None, **kwargs): # like Django's Context.push()\n '''New ChainMap with a new map followed by all previous maps.\n If no map is provided, an empty dict is used.\n Keyword arguments update the map or new empty dict.\n '''\n if m is None:\n m = kwargs\n elif kwargs:\n m.update(kwargs)\n return self.__class__(m, *self.maps)\n\n @property\n def parents(self): # like Django's Context.pop()\n 'New ChainMap from maps[1:].'\n return self.__class__(*self.maps[1:])\n\n def __setitem__(self, key, value):\n self.maps[0][key] = value\n\n def __delitem__(self, key):\n try:\n del self.maps[0][key]\n except KeyError:\n raise KeyError(f'Key not found in the first mapping: {key!r}')\n\n def popitem(self):\n 'Remove and return an item pair from maps[0]. Raise KeyError is maps[0] is empty.'\n try:\n return self.maps[0].popitem()\n except KeyError:\n raise KeyError('No keys found in the first mapping.')\n\n def pop(self, key, *args):\n 'Remove *key* from maps[0] and return its value. Raise KeyError if *key* not in maps[0].'\n try:\n return self.maps[0].pop(key, *args)\n except KeyError:\n raise KeyError(f'Key not found in the first mapping: {key!r}')\n\n def clear(self):\n 'Clear maps[0], leaving maps[1:] intact.'\n self.maps[0].clear()\n\n def __ior__(self, other):\n self.maps[0].update(other)\n return self\n\n def __or__(self, other):\n if not isinstance(other, _collections_abc.Mapping):\n return NotImplemented\n m = self.copy()\n m.maps[0].update(other)\n return m\n\n def __ror__(self, other):\n if not isinstance(other, _collections_abc.Mapping):\n return NotImplemented\n m = dict(other)\n for child in reversed(self.maps):\n m.update(child)\n return self.__class__(m)\n\n\n################################################################################\n### UserDict\n################################################################################\n\nclass UserDict(_collections_abc.MutableMapping):\n\n # Start by filling-out the abstract methods\n def __init__(self, dict=None, /, **kwargs):\n self.data = {}\n if dict is not None:\n self.update(dict)\n if kwargs:\n self.update(kwargs)\n\n def __len__(self):\n return len(self.data)\n\n def __getitem__(self, key):\n if key in self.data:\n return self.data[key]\n if hasattr(self.__class__, \"__missing__\"):\n return self.__class__.__missing__(self, key)\n raise KeyError(key)\n\n def __setitem__(self, key, item):\n self.data[key] = item\n\n def __delitem__(self, key):\n del self.data[key]\n\n def __iter__(self):\n return iter(self.data)\n\n # Modify __contains__ and get() to work like dict\n # does when __missing__ is present.\n def __contains__(self, key):\n return key in self.data\n\n def get(self, key, default=None):\n if key in self:\n return self[key]\n return default\n\n\n # Now, add the methods in dicts but not in MutableMapping\n def __repr__(self):\n return repr(self.data)\n\n def __or__(self, other):\n if isinstance(other, UserDict):\n return self.__class__(self.data | other.data)\n if isinstance(other, dict):\n return self.__class__(self.data | other)\n return NotImplemented\n\n def __ror__(self, other):\n if isinstance(other, UserDict):\n return self.__class__(other.data | self.data)\n if isinstance(other, dict):\n return self.__class__(other | self.data)\n return NotImplemented\n\n def __ior__(self, other):\n if isinstance(other, UserDict):\n self.data |= other.data\n else:\n self.data |= other\n return self\n\n def __copy__(self):\n inst = self.__class__.__new__(self.__class__)\n inst.__dict__.update(self.__dict__)\n # Create a copy and avoid triggering descriptors\n inst.__dict__[\"data\"] = self.__dict__[\"data\"].copy()\n return inst\n\n def copy(self):\n if self.__class__ is UserDict:\n return UserDict(self.data.copy())\n import copy\n data = self.data\n try:\n self.data = {}\n c = copy.copy(self)\n finally:\n self.data = data\n c.update(self)\n return c\n\n @classmethod\n def fromkeys(cls, iterable, value=None):\n d = cls()\n for key in iterable:\n d[key] = value\n return d\n\n\n################################################################################\n### UserList\n################################################################################\n\nclass UserList(_collections_abc.MutableSequence):\n \"\"\"A more or less complete user-defined wrapper around list objects.\"\"\"\n\n def __init__(self, initlist=None):\n self.data = []\n if initlist is not None:\n # XXX should this accept an arbitrary sequence?\n if type(initlist) == type(self.data):\n self.data[:] = initlist\n elif isinstance(initlist, UserList):\n self.data[:] = initlist.data[:]\n else:\n self.data = list(initlist)\n\n def __repr__(self):\n return repr(self.data)\n\n def __lt__(self, other):\n return self.data < self.__cast(other)\n\n def __le__(self, other):\n return self.data <= self.__cast(other)\n\n def __eq__(self, other):\n return self.data == self.__cast(other)\n\n def __gt__(self, other):\n return self.data > self.__cast(other)\n\n def __ge__(self, other):\n return self.data >= self.__cast(other)\n\n def __cast(self, other):\n return other.data if isinstance(other, UserList) else other\n\n def __contains__(self, item):\n return item in self.data\n\n def __len__(self):\n return len(self.data)\n\n def __getitem__(self, i):\n if isinstance(i, slice):\n return self.__class__(self.data[i])\n else:\n return self.data[i]\n\n def __setitem__(self, i, item):\n self.data[i] = item\n\n def __delitem__(self, i):\n del self.data[i]\n\n def __add__(self, other):\n if isinstance(other, UserList):\n return self.__class__(self.data + other.data)\n elif isinstance(other, type(self.data)):\n return self.__class__(self.data + other)\n return self.__class__(self.data + list(other))\n\n def __radd__(self, other):\n if isinstance(other, UserList):\n return self.__class__(other.data + self.data)\n elif isinstance(other, type(self.data)):\n return self.__class__(other + self.data)\n return self.__class__(list(other) + self.data)\n\n def __iadd__(self, other):\n if isinstance(other, UserList):\n self.data += other.data\n elif isinstance(other, type(self.data)):\n self.data += other\n else:\n self.data += list(other)\n return self\n\n def __mul__(self, n):\n return self.__class__(self.data * n)\n\n __rmul__ = __mul__\n\n def __imul__(self, n):\n self.data *= n\n return self\n\n def __copy__(self):\n inst = self.__class__.__new__(self.__class__)\n inst.__dict__.update(self.__dict__)\n # Create a copy and avoid triggering descriptors\n inst.__dict__[\"data\"] = self.__dict__[\"data\"][:]\n return inst\n\n def append(self, item):\n self.data.append(item)\n\n def insert(self, i, item):\n self.data.insert(i, item)\n\n def pop(self, i=-1):\n return self.data.pop(i)\n\n def remove(self, item):\n self.data.remove(item)\n\n def clear(self):\n self.data.clear()\n\n def copy(self):\n return self.__class__(self)\n\n def count(self, item):\n return self.data.count(item)\n\n def index(self, item, *args):\n return self.data.index(item, *args)\n\n def reverse(self):\n self.data.reverse()\n\n def sort(self, /, *args, **kwds):\n self.data.sort(*args, **kwds)\n\n def extend(self, other):\n if isinstance(other, UserList):\n self.data.extend(other.data)\n else:\n self.data.extend(other)\n\n\n################################################################################\n### UserString\n################################################################################\n\nclass UserString(_collections_abc.Sequence):\n\n def __init__(self, seq):\n if isinstance(seq, str):\n self.data = seq\n elif isinstance(seq, UserString):\n self.data = seq.data[:]\n else:\n self.data = str(seq)\n\n def __str__(self):\n return str(self.data)\n\n def __repr__(self):\n return repr(self.data)\n\n def __int__(self):\n return int(self.data)\n\n def __float__(self):\n return float(self.data)\n\n def __complex__(self):\n return complex(self.data)\n\n def __hash__(self):\n return hash(self.data)\n\n def __getnewargs__(self):\n return (self.data[:],)\n\n def __eq__(self, string):\n if isinstance(string, UserString):\n return self.data == string.data\n return self.data == string\n\n def __lt__(self, string):\n if isinstance(string, UserString):\n return self.data < string.data\n return self.data < string\n\n def __le__(self, string):\n if isinstance(string, UserString):\n return self.data <= string.data\n return self.data <= string\n\n def __gt__(self, string):\n if isinstance(string, UserString):\n return self.data > string.data\n return self.data > string\n\n def __ge__(self, string):\n if isinstance(string, UserString):\n return self.data >= string.data\n return self.data >= string\n\n def __contains__(self, char):\n if isinstance(char, UserString):\n char = char.data\n return char in self.data\n\n def __len__(self):\n return len(self.data)\n\n def __getitem__(self, index):\n return self.__class__(self.data[index])\n\n def __add__(self, other):\n if isinstance(other, UserString):\n return self.__class__(self.data + other.data)\n elif isinstance(other, str):\n return self.__class__(self.data + other)\n return self.__class__(self.data + str(other))\n\n def __radd__(self, other):\n if isinstance(other, str):\n return self.__class__(other + self.data)\n return self.__class__(str(other) + self.data)\n\n def __mul__(self, n):\n return self.__class__(self.data * n)\n\n __rmul__ = __mul__\n\n def __mod__(self, args):\n return self.__class__(self.data % args)\n\n def __rmod__(self, template):\n return self.__class__(str(template) % self)\n\n # the following methods are defined in alphabetical order:\n def capitalize(self):\n return self.__class__(self.data.capitalize())\n\n def casefold(self):\n return self.__class__(self.data.casefold())\n\n def center(self, width, *args):\n return self.__class__(self.data.center(width, *args))\n\n def count(self, sub, start=0, end=_sys.maxsize):\n if isinstance(sub, UserString):\n sub = sub.data\n return self.data.count(sub, start, end)\n\n def removeprefix(self, prefix, /):\n if isinstance(prefix, UserString):\n prefix = prefix.data\n return self.__class__(self.data.removeprefix(prefix))\n\n def removesuffix(self, suffix, /):\n if isinstance(suffix, UserString):\n suffix = suffix.data\n return self.__class__(self.data.removesuffix(suffix))\n\n def encode(self, encoding='utf-8', errors='strict'):\n encoding = 'utf-8' if encoding is None else encoding\n errors = 'strict' if errors is None else errors\n return self.data.encode(encoding, errors)\n\n def endswith(self, suffix, start=0, end=_sys.maxsize):\n return self.data.endswith(suffix, start, end)\n\n def expandtabs(self, tabsize=8):\n return self.__class__(self.data.expandtabs(tabsize))\n\n def find(self, sub, start=0, end=_sys.maxsize):\n if isinstance(sub, UserString):\n sub = sub.data\n return self.data.find(sub, start, end)\n\n def format(self, /, *args, **kwds):\n return self.data.format(*args, **kwds)\n\n def format_map(self, mapping):\n return self.data.format_map(mapping)\n\n def index(self, sub, start=0, end=_sys.maxsize):\n return self.data.index(sub, start, end)\n\n def isalpha(self):\n return self.data.isalpha()\n\n def isalnum(self):\n return self.data.isalnum()\n\n def isascii(self):\n return self.data.isascii()\n\n def isdecimal(self):\n return self.data.isdecimal()\n\n def isdigit(self):\n return self.data.isdigit()\n\n def isidentifier(self):\n return self.data.isidentifier()\n\n def islower(self):\n return self.data.islower()\n\n def isnumeric(self):\n return self.data.isnumeric()\n\n def isprintable(self):\n return self.data.isprintable()\n\n def isspace(self):\n return self.data.isspace()\n\n def istitle(self):\n return self.data.istitle()\n\n def isupper(self):\n return self.data.isupper()\n\n def join(self, seq):\n return self.data.join(seq)\n\n def ljust(self, width, *args):\n return self.__class__(self.data.ljust(width, *args))\n\n def lower(self):\n return self.__class__(self.data.lower())\n\n def lstrip(self, chars=None):\n return self.__class__(self.data.lstrip(chars))\n\n maketrans = str.maketrans\n\n def partition(self, sep):\n return self.data.partition(sep)\n\n def replace(self, old, new, maxsplit=-1):\n if isinstance(old, UserString):\n old = old.data\n if isinstance(new, UserString):\n new = new.data\n return self.__class__(self.data.replace(old, new, maxsplit))\n\n def rfind(self, sub, start=0, end=_sys.maxsize):\n if isinstance(sub, UserString):\n sub = sub.data\n return self.data.rfind(sub, start, end)\n\n def rindex(self, sub, start=0, end=_sys.maxsize):\n return self.data.rindex(sub, start, end)\n\n def rjust(self, width, *args):\n return self.__class__(self.data.rjust(width, *args))\n\n def rpartition(self, sep):\n return self.data.rpartition(sep)\n\n def rstrip(self, chars=None):\n return self.__class__(self.data.rstrip(chars))\n\n def split(self, sep=None, maxsplit=-1):\n return self.data.split(sep, maxsplit)\n\n def rsplit(self, sep=None, maxsplit=-1):\n return self.data.rsplit(sep, maxsplit)\n\n def splitlines(self, keepends=False):\n return self.data.splitlines(keepends)\n\n def startswith(self, prefix, start=0, end=_sys.maxsize):\n return self.data.startswith(prefix, start, end)\n\n def strip(self, chars=None):\n return self.__class__(self.data.strip(chars))\n\n def swapcase(self):\n return self.__class__(self.data.swapcase())\n\n def title(self):\n return self.__class__(self.data.title())\n\n def translate(self, *args):\n return self.__class__(self.data.translate(*args))\n\n def upper(self):\n return self.__class__(self.data.upper())\n\n def zfill(self, width):\n return self.__class__(self.data.zfill(width))\n", 1592], "/usr/lib/python3.12/multiprocessing/context.py": ["import os\nimport sys\nimport threading\n\nfrom . import process\nfrom . import reduction\n\n__all__ = ()\n\n#\n# Exceptions\n#\n\nclass ProcessError(Exception):\n pass\n\nclass BufferTooShort(ProcessError):\n pass\n\nclass TimeoutError(ProcessError):\n pass\n\nclass AuthenticationError(ProcessError):\n pass\n\n#\n# Base type for contexts. Bound methods of an instance of this type are included in __all__ of __init__.py\n#\n\nclass BaseContext(object):\n\n ProcessError = ProcessError\n BufferTooShort = BufferTooShort\n TimeoutError = TimeoutError\n AuthenticationError = AuthenticationError\n\n current_process = staticmethod(process.current_process)\n parent_process = staticmethod(process.parent_process)\n active_children = staticmethod(process.active_children)\n\n def cpu_count(self):\n '''Returns the number of CPUs in the system'''\n num = os.cpu_count()\n if num is None:\n raise NotImplementedError('cannot determine number of cpus')\n else:\n return num\n\n def Manager(self):\n '''Returns a manager associated with a running server process\n\n The managers methods such as `Lock()`, `Condition()` and `Queue()`\n can be used to create shared objects.\n '''\n from .managers import SyncManager\n m = SyncManager(ctx=self.get_context())\n m.start()\n return m\n\n def Pipe(self, duplex=True):\n '''Returns two connection object connected by a pipe'''\n from .connection import Pipe\n return Pipe(duplex)\n\n def Lock(self):\n '''Returns a non-recursive lock object'''\n from .synchronize import Lock\n return Lock(ctx=self.get_context())\n\n def RLock(self):\n '''Returns a recursive lock object'''\n from .synchronize import RLock\n return RLock(ctx=self.get_context())\n\n def Condition(self, lock=None):\n '''Returns a condition object'''\n from .synchronize import Condition\n return Condition(lock, ctx=self.get_context())\n\n def Semaphore(self, value=1):\n '''Returns a semaphore object'''\n from .synchronize import Semaphore\n return Semaphore(value, ctx=self.get_context())\n\n def BoundedSemaphore(self, value=1):\n '''Returns a bounded semaphore object'''\n from .synchronize import BoundedSemaphore\n return BoundedSemaphore(value, ctx=self.get_context())\n\n def Event(self):\n '''Returns an event object'''\n from .synchronize import Event\n return Event(ctx=self.get_context())\n\n def Barrier(self, parties, action=None, timeout=None):\n '''Returns a barrier object'''\n from .synchronize import Barrier\n return Barrier(parties, action, timeout, ctx=self.get_context())\n\n def Queue(self, maxsize=0):\n '''Returns a queue object'''\n from .queues import Queue\n return Queue(maxsize, ctx=self.get_context())\n\n def JoinableQueue(self, maxsize=0):\n '''Returns a queue object'''\n from .queues import JoinableQueue\n return JoinableQueue(maxsize, ctx=self.get_context())\n\n def SimpleQueue(self):\n '''Returns a queue object'''\n from .queues import SimpleQueue\n return SimpleQueue(ctx=self.get_context())\n\n def Pool(self, processes=None, initializer=None, initargs=(),\n maxtasksperchild=None):\n '''Returns a process pool object'''\n from .pool import Pool\n return Pool(processes, initializer, initargs, maxtasksperchild,\n context=self.get_context())\n\n def RawValue(self, typecode_or_type, *args):\n '''Returns a shared object'''\n from .sharedctypes import RawValue\n return RawValue(typecode_or_type, *args)\n\n def RawArray(self, typecode_or_type, size_or_initializer):\n '''Returns a shared array'''\n from .sharedctypes import RawArray\n return RawArray(typecode_or_type, size_or_initializer)\n\n def Value(self, typecode_or_type, *args, lock=True):\n '''Returns a synchronized shared object'''\n from .sharedctypes import Value\n return Value(typecode_or_type, *args, lock=lock,\n ctx=self.get_context())\n\n def Array(self, typecode_or_type, size_or_initializer, *, lock=True):\n '''Returns a synchronized shared array'''\n from .sharedctypes import Array\n return Array(typecode_or_type, size_or_initializer, lock=lock,\n ctx=self.get_context())\n\n def freeze_support(self):\n '''Check whether this is a fake forked process in a frozen executable.\n If so then run code specified by commandline and exit.\n '''\n if sys.platform == 'win32' and getattr(sys, 'frozen', False):\n from .spawn import freeze_support\n freeze_support()\n\n def get_logger(self):\n '''Return package logger -- if it does not already exist then\n it is created.\n '''\n from .util import get_logger\n return get_logger()\n\n def log_to_stderr(self, level=None):\n '''Turn on logging and add a handler which prints to stderr'''\n from .util import log_to_stderr\n return log_to_stderr(level)\n\n def allow_connection_pickling(self):\n '''Install support for sending connections and sockets\n between processes\n '''\n # This is undocumented. In previous versions of multiprocessing\n # its only effect was to make socket objects inheritable on Windows.\n from . import connection\n\n def set_executable(self, executable):\n '''Sets the path to a python.exe or pythonw.exe binary used to run\n child processes instead of sys.executable when using the 'spawn'\n start method. Useful for people embedding Python.\n '''\n from .spawn import set_executable\n set_executable(executable)\n\n def set_forkserver_preload(self, module_names):\n '''Set list of module names to try to load in forkserver process.\n This is really just a hint.\n '''\n from .forkserver import set_forkserver_preload\n set_forkserver_preload(module_names)\n\n def get_context(self, method=None):\n if method is None:\n return self\n try:\n ctx = _concrete_contexts[method]\n except KeyError:\n raise ValueError('cannot find context for %r' % method) from None\n ctx._check_available()\n return ctx\n\n def get_start_method(self, allow_none=False):\n return self._name\n\n def set_start_method(self, method, force=False):\n raise ValueError('cannot set start method of concrete context')\n\n @property\n def reducer(self):\n '''Controls how objects will be reduced to a form that can be\n shared with other processes.'''\n return globals().get('reduction')\n\n @reducer.setter\n def reducer(self, reduction):\n globals()['reduction'] = reduction\n\n def _check_available(self):\n pass\n\n#\n# Type of default context -- underlying context can be set at most once\n#\n\nclass Process(process.BaseProcess):\n _start_method = None\n @staticmethod\n def _Popen(process_obj):\n return _default_context.get_context().Process._Popen(process_obj)\n\n @staticmethod\n def _after_fork():\n return _default_context.get_context().Process._after_fork()\n\nclass DefaultContext(BaseContext):\n Process = Process\n\n def __init__(self, context):\n self._default_context = context\n self._actual_context = None\n\n def get_context(self, method=None):\n if method is None:\n if self._actual_context is None:\n self._actual_context = self._default_context\n return self._actual_context\n else:\n return super().get_context(method)\n\n def set_start_method(self, method, force=False):\n if self._actual_context is not None and not force:\n raise RuntimeError('context has already been set')\n if method is None and force:\n self._actual_context = None\n return\n self._actual_context = self.get_context(method)\n\n def get_start_method(self, allow_none=False):\n if self._actual_context is None:\n if allow_none:\n return None\n self._actual_context = self._default_context\n return self._actual_context._name\n\n def get_all_start_methods(self):\n \"\"\"Returns a list of the supported start methods, default first.\"\"\"\n if sys.platform == 'win32':\n return ['spawn']\n else:\n methods = ['spawn', 'fork'] if sys.platform == 'darwin' else ['fork', 'spawn']\n if reduction.HAVE_SEND_HANDLE:\n methods.append('forkserver')\n return methods\n\n\n#\n# Context types for fixed start method\n#\n\nif sys.platform != 'win32':\n\n class ForkProcess(process.BaseProcess):\n _start_method = 'fork'\n @staticmethod\n def _Popen(process_obj):\n from .popen_fork import Popen\n return Popen(process_obj)\n\n class SpawnProcess(process.BaseProcess):\n _start_method = 'spawn'\n @staticmethod\n def _Popen(process_obj):\n from .popen_spawn_posix import Popen\n return Popen(process_obj)\n\n @staticmethod\n def _after_fork():\n # process is spawned, nothing to do\n pass\n\n class ForkServerProcess(process.BaseProcess):\n _start_method = 'forkserver'\n @staticmethod\n def _Popen(process_obj):\n from .popen_forkserver import Popen\n return Popen(process_obj)\n\n class ForkContext(BaseContext):\n _name = 'fork'\n Process = ForkProcess\n\n class SpawnContext(BaseContext):\n _name = 'spawn'\n Process = SpawnProcess\n\n class ForkServerContext(BaseContext):\n _name = 'forkserver'\n Process = ForkServerProcess\n def _check_available(self):\n if not reduction.HAVE_SEND_HANDLE:\n raise ValueError('forkserver start method not available')\n\n _concrete_contexts = {\n 'fork': ForkContext(),\n 'spawn': SpawnContext(),\n 'forkserver': ForkServerContext(),\n }\n if sys.platform == 'darwin':\n # bpo-33725: running arbitrary code after fork() is no longer reliable\n # on macOS since macOS 10.14 (Mojave). Use spawn by default instead.\n _default_context = DefaultContext(_concrete_contexts['spawn'])\n else:\n _default_context = DefaultContext(_concrete_contexts['fork'])\n\nelse:\n\n class SpawnProcess(process.BaseProcess):\n _start_method = 'spawn'\n @staticmethod\n def _Popen(process_obj):\n from .popen_spawn_win32 import Popen\n return Popen(process_obj)\n\n @staticmethod\n def _after_fork():\n # process is spawned, nothing to do\n pass\n\n class SpawnContext(BaseContext):\n _name = 'spawn'\n Process = SpawnProcess\n\n _concrete_contexts = {\n 'spawn': SpawnContext(),\n }\n _default_context = DefaultContext(_concrete_contexts['spawn'])\n\n#\n# Force the start method\n#\n\ndef _force_start_method(method):\n _default_context._actual_context = _concrete_contexts[method]\n\n#\n# Check that the current thread is spawning a child process\n#\n\n_tls = threading.local()\n\ndef get_spawning_popen():\n return getattr(_tls, 'spawning_popen', None)\n\ndef set_spawning_popen(popen):\n _tls.spawning_popen = popen\n\ndef assert_spawning(obj):\n if get_spawning_popen() is None:\n raise RuntimeError(\n '%s objects should only be shared between processes'\n ' through inheritance' % type(obj).__name__\n )\n", 377], "/usr/lib/python3.12/random.py": ["\"\"\"Random variable generators.\n\n bytes\n -----\n uniform bytes (values between 0 and 255)\n\n integers\n --------\n uniform within range\n\n sequences\n ---------\n pick random element\n pick random sample\n pick weighted random sample\n generate random permutation\n\n distributions on the real line:\n ------------------------------\n uniform\n triangular\n normal (Gaussian)\n lognormal\n negative exponential\n gamma\n beta\n pareto\n Weibull\n\n distributions on the circle (angles 0 to 2pi)\n ---------------------------------------------\n circular uniform\n von Mises\n\n discrete distributions\n ----------------------\n binomial\n\n\nGeneral notes on the underlying Mersenne Twister core generator:\n\n* The period is 2**19937-1.\n* It is one of the most extensively tested generators in existence.\n* The random() method is implemented in C, executes in a single Python step,\n and is, therefore, threadsafe.\n\n\"\"\"\n\n# Translated by Guido van Rossum from C source provided by\n# Adrian Baddeley. Adapted by Raymond Hettinger for use with\n# the Mersenne Twister and os.urandom() core generators.\n\nfrom warnings import warn as _warn\nfrom math import log as _log, exp as _exp, pi as _pi, e as _e, ceil as _ceil\nfrom math import sqrt as _sqrt, acos as _acos, cos as _cos, sin as _sin\nfrom math import tau as TWOPI, floor as _floor, isfinite as _isfinite\nfrom math import lgamma as _lgamma, fabs as _fabs, log2 as _log2\nfrom os import urandom as _urandom\nfrom _collections_abc import Sequence as _Sequence\nfrom operator import index as _index\nfrom itertools import accumulate as _accumulate, repeat as _repeat\nfrom bisect import bisect as _bisect\nimport os as _os\nimport _random\n\ntry:\n # hashlib is pretty heavy to load, try lean internal module first\n from _sha2 import sha512 as _sha512\nexcept ImportError:\n # fallback to official implementation\n from hashlib import sha512 as _sha512\n\n__all__ = [\n \"Random\",\n \"SystemRandom\",\n \"betavariate\",\n \"binomialvariate\",\n \"choice\",\n \"choices\",\n \"expovariate\",\n \"gammavariate\",\n \"gauss\",\n \"getrandbits\",\n \"getstate\",\n \"lognormvariate\",\n \"normalvariate\",\n \"paretovariate\",\n \"randbytes\",\n \"randint\",\n \"random\",\n \"randrange\",\n \"sample\",\n \"seed\",\n \"setstate\",\n \"shuffle\",\n \"triangular\",\n \"uniform\",\n \"vonmisesvariate\",\n \"weibullvariate\",\n]\n\nNV_MAGICCONST = 4 * _exp(-0.5) / _sqrt(2.0)\nLOG4 = _log(4.0)\nSG_MAGICCONST = 1.0 + _log(4.5)\nBPF = 53 # Number of bits in a float\nRECIP_BPF = 2 ** -BPF\n_ONE = 1\n\n\nclass Random(_random.Random):\n \"\"\"Random number generator base class used by bound module functions.\n\n Used to instantiate instances of Random to get generators that don't\n share state.\n\n Class Random can also be subclassed if you want to use a different basic\n generator of your own devising: in that case, override the following\n methods: random(), seed(), getstate(), and setstate().\n Optionally, implement a getrandbits() method so that randrange()\n can cover arbitrarily large ranges.\n\n \"\"\"\n\n VERSION = 3 # used by getstate/setstate\n\n def __init__(self, x=None):\n \"\"\"Initialize an instance.\n\n Optional argument x controls seeding, as for Random.seed().\n \"\"\"\n\n self.seed(x)\n self.gauss_next = None\n\n def seed(self, a=None, version=2):\n \"\"\"Initialize internal state from a seed.\n\n The only supported seed types are None, int, float,\n str, bytes, and bytearray.\n\n None or no argument seeds from current time or from an operating\n system specific randomness source if available.\n\n If *a* is an int, all bits are used.\n\n For version 2 (the default), all of the bits are used if *a* is a str,\n bytes, or bytearray. For version 1 (provided for reproducing random\n sequences from older versions of Python), the algorithm for str and\n bytes generates a narrower range of seeds.\n\n \"\"\"\n\n if version == 1 and isinstance(a, (str, bytes)):\n a = a.decode('latin-1') if isinstance(a, bytes) else a\n x = ord(a[0]) << 7 if a else 0\n for c in map(ord, a):\n x = ((1000003 * x) ^ c) & 0xFFFFFFFFFFFFFFFF\n x ^= len(a)\n a = -2 if x == -1 else x\n\n elif version == 2 and isinstance(a, (str, bytes, bytearray)):\n if isinstance(a, str):\n a = a.encode()\n a = int.from_bytes(a + _sha512(a).digest())\n\n elif not isinstance(a, (type(None), int, float, str, bytes, bytearray)):\n raise TypeError('The only supported seed types are: None,\\n'\n 'int, float, str, bytes, and bytearray.')\n\n super().seed(a)\n self.gauss_next = None\n\n def getstate(self):\n \"\"\"Return internal state; can be passed to setstate() later.\"\"\"\n return self.VERSION, super().getstate(), self.gauss_next\n\n def setstate(self, state):\n \"\"\"Restore internal state from object returned by getstate().\"\"\"\n version = state[0]\n if version == 3:\n version, internalstate, self.gauss_next = state\n super().setstate(internalstate)\n elif version == 2:\n version, internalstate, self.gauss_next = state\n # In version 2, the state was saved as signed ints, which causes\n # inconsistencies between 32/64-bit systems. The state is\n # really unsigned 32-bit ints, so we convert negative ints from\n # version 2 to positive longs for version 3.\n try:\n internalstate = tuple(x % (2 ** 32) for x in internalstate)\n except ValueError as e:\n raise TypeError from e\n super().setstate(internalstate)\n else:\n raise ValueError(\"state with version %s passed to \"\n \"Random.setstate() of version %s\" %\n (version, self.VERSION))\n\n\n ## -------------------------------------------------------\n ## ---- Methods below this point do not need to be overridden or extended\n ## ---- when subclassing for the purpose of using a different core generator.\n\n\n ## -------------------- pickle support -------------------\n\n # Issue 17489: Since __reduce__ was defined to fix #759889 this is no\n # longer called; we leave it here because it has been here since random was\n # rewritten back in 2001 and why risk breaking something.\n def __getstate__(self): # for pickle\n return self.getstate()\n\n def __setstate__(self, state): # for pickle\n self.setstate(state)\n\n def __reduce__(self):\n return self.__class__, (), self.getstate()\n\n\n ## ---- internal support method for evenly distributed integers ----\n\n def __init_subclass__(cls, /, **kwargs):\n \"\"\"Control how subclasses generate random integers.\n\n The algorithm a subclass can use depends on the random() and/or\n getrandbits() implementation available to it and determines\n whether it can generate random integers from arbitrarily large\n ranges.\n \"\"\"\n\n for c in cls.__mro__:\n if '_randbelow' in c.__dict__:\n # just inherit it\n break\n if 'getrandbits' in c.__dict__:\n cls._randbelow = cls._randbelow_with_getrandbits\n break\n if 'random' in c.__dict__:\n cls._randbelow = cls._randbelow_without_getrandbits\n break\n\n def _randbelow_with_getrandbits(self, n):\n \"Return a random int in the range [0,n). Defined for n > 0.\"\n\n getrandbits = self.getrandbits\n k = n.bit_length()\n r = getrandbits(k) # 0 <= r < 2**k\n while r >= n:\n r = getrandbits(k)\n return r\n\n def _randbelow_without_getrandbits(self, n, maxsize=1< 0.\n\n The implementation does not use getrandbits, but only random.\n \"\"\"\n\n random = self.random\n if n >= maxsize:\n _warn(\"Underlying random() generator does not supply \\n\"\n \"enough bits to choose from a population range this large.\\n\"\n \"To remove the range limitation, add a getrandbits() method.\")\n return _floor(random() * n)\n rem = maxsize % n\n limit = (maxsize - rem) / maxsize # int(limit * maxsize) % n == 0\n r = random()\n while r >= limit:\n r = random()\n return _floor(r * maxsize) % n\n\n _randbelow = _randbelow_with_getrandbits\n\n\n ## --------------------------------------------------------\n ## ---- Methods below this point generate custom distributions\n ## ---- based on the methods defined above. They do not\n ## ---- directly touch the underlying generator and only\n ## ---- access randomness through the methods: random(),\n ## ---- getrandbits(), or _randbelow().\n\n\n ## -------------------- bytes methods ---------------------\n\n def randbytes(self, n):\n \"\"\"Generate n random bytes.\"\"\"\n return self.getrandbits(n * 8).to_bytes(n, 'little')\n\n\n ## -------------------- integer methods -------------------\n\n def randrange(self, start, stop=None, step=_ONE):\n \"\"\"Choose a random item from range(stop) or range(start, stop[, step]).\n\n Roughly equivalent to ``choice(range(start, stop, step))`` but\n supports arbitrarily large ranges and is optimized for common cases.\n\n \"\"\"\n\n # This code is a bit messy to make it fast for the\n # common case while still doing adequate error checking.\n istart = _index(start)\n if stop is None:\n # We don't check for \"step != 1\" because it hasn't been\n # type checked and converted to an integer yet.\n if step is not _ONE:\n raise TypeError(\"Missing a non-None stop argument\")\n if istart > 0:\n return self._randbelow(istart)\n raise ValueError(\"empty range for randrange()\")\n\n # Stop argument supplied.\n istop = _index(stop)\n width = istop - istart\n istep = _index(step)\n # Fast path.\n if istep == 1:\n if width > 0:\n return istart + self._randbelow(width)\n raise ValueError(f\"empty range in randrange({start}, {stop})\")\n\n # Non-unit step argument supplied.\n if istep > 0:\n n = (width + istep - 1) // istep\n elif istep < 0:\n n = (width + istep + 1) // istep\n else:\n raise ValueError(\"zero step for randrange()\")\n if n <= 0:\n raise ValueError(f\"empty range in randrange({start}, {stop}, {step})\")\n return istart + istep * self._randbelow(n)\n\n def randint(self, a, b):\n \"\"\"Return random integer in range [a, b], including both end points.\n \"\"\"\n\n return self.randrange(a, b+1)\n\n\n ## -------------------- sequence methods -------------------\n\n def choice(self, seq):\n \"\"\"Choose a random element from a non-empty sequence.\"\"\"\n\n # As an accommodation for NumPy, we don't use \"if not seq\"\n # because bool(numpy.array()) raises a ValueError.\n if not len(seq):\n raise IndexError('Cannot choose from an empty sequence')\n return seq[self._randbelow(len(seq))]\n\n def shuffle(self, x):\n \"\"\"Shuffle list x in place, and return None.\"\"\"\n\n randbelow = self._randbelow\n for i in reversed(range(1, len(x))):\n # pick an element in x[:i+1] with which to exchange x[i]\n j = randbelow(i + 1)\n x[i], x[j] = x[j], x[i]\n\n def sample(self, population, k, *, counts=None):\n \"\"\"Chooses k unique random elements from a population sequence.\n\n Returns a new list containing elements from the population while\n leaving the original population unchanged. The resulting list is\n in selection order so that all sub-slices will also be valid random\n samples. This allows raffle winners (the sample) to be partitioned\n into grand prize and second place winners (the subslices).\n\n Members of the population need not be hashable or unique. If the\n population contains repeats, then each occurrence is a possible\n selection in the sample.\n\n Repeated elements can be specified one at a time or with the optional\n counts parameter. For example:\n\n sample(['red', 'blue'], counts=[4, 2], k=5)\n\n is equivalent to:\n\n sample(['red', 'red', 'red', 'red', 'blue', 'blue'], k=5)\n\n To choose a sample from a range of integers, use range() for the\n population argument. This is especially fast and space efficient\n for sampling from a large population:\n\n sample(range(10000000), 60)\n\n \"\"\"\n\n # Sampling without replacement entails tracking either potential\n # selections (the pool) in a list or previous selections in a set.\n\n # When the number of selections is small compared to the\n # population, then tracking selections is efficient, requiring\n # only a small set and an occasional reselection. For\n # a larger number of selections, the pool tracking method is\n # preferred since the list takes less space than the\n # set and it doesn't suffer from frequent reselections.\n\n # The number of calls to _randbelow() is kept at or near k, the\n # theoretical minimum. This is important because running time\n # is dominated by _randbelow() and because it extracts the\n # least entropy from the underlying random number generators.\n\n # Memory requirements are kept to the smaller of a k-length\n # set or an n-length list.\n\n # There are other sampling algorithms that do not require\n # auxiliary memory, but they were rejected because they made\n # too many calls to _randbelow(), making them slower and\n # causing them to eat more entropy than necessary.\n\n if not isinstance(population, _Sequence):\n raise TypeError(\"Population must be a sequence. \"\n \"For dicts or sets, use sorted(d).\")\n n = len(population)\n if counts is not None:\n cum_counts = list(_accumulate(counts))\n if len(cum_counts) != n:\n raise ValueError('The number of counts does not match the population')\n total = cum_counts.pop()\n if not isinstance(total, int):\n raise TypeError('Counts must be integers')\n if total <= 0:\n raise ValueError('Total of counts must be greater than zero')\n selections = self.sample(range(total), k=k)\n bisect = _bisect\n return [population[bisect(cum_counts, s)] for s in selections]\n randbelow = self._randbelow\n if not 0 <= k <= n:\n raise ValueError(\"Sample larger than population or is negative\")\n result = [None] * k\n setsize = 21 # size of a small set minus size of an empty list\n if k > 5:\n setsize += 4 ** _ceil(_log(k * 3, 4)) # table size for big sets\n if n <= setsize:\n # An n-length list is smaller than a k-length set.\n # Invariant: non-selected at pool[0 : n-i]\n pool = list(population)\n for i in range(k):\n j = randbelow(n - i)\n result[i] = pool[j]\n pool[j] = pool[n - i - 1] # move non-selected item into vacancy\n else:\n selected = set()\n selected_add = selected.add\n for i in range(k):\n j = randbelow(n)\n while j in selected:\n j = randbelow(n)\n selected_add(j)\n result[i] = population[j]\n return result\n\n def choices(self, population, weights=None, *, cum_weights=None, k=1):\n \"\"\"Return a k sized list of population elements chosen with replacement.\n\n If the relative weights or cumulative weights are not specified,\n the selections are made with equal probability.\n\n \"\"\"\n random = self.random\n n = len(population)\n if cum_weights is None:\n if weights is None:\n floor = _floor\n n += 0.0 # convert to float for a small speed improvement\n return [population[floor(random() * n)] for i in _repeat(None, k)]\n try:\n cum_weights = list(_accumulate(weights))\n except TypeError:\n if not isinstance(weights, int):\n raise\n k = weights\n raise TypeError(\n f'The number of choices must be a keyword argument: {k=}'\n ) from None\n elif weights is not None:\n raise TypeError('Cannot specify both weights and cumulative weights')\n if len(cum_weights) != n:\n raise ValueError('The number of weights does not match the population')\n total = cum_weights[-1] + 0.0 # convert to float\n if total <= 0.0:\n raise ValueError('Total of weights must be greater than zero')\n if not _isfinite(total):\n raise ValueError('Total of weights must be finite')\n bisect = _bisect\n hi = n - 1\n return [population[bisect(cum_weights, random() * total, 0, hi)]\n for i in _repeat(None, k)]\n\n\n ## -------------------- real-valued distributions -------------------\n\n def uniform(self, a, b):\n \"\"\"Get a random number in the range [a, b) or [a, b] depending on rounding.\n\n The mean (expected value) and variance of the random variable are:\n\n E[X] = (a + b) / 2\n Var[X] = (b - a) ** 2 / 12\n\n \"\"\"\n return a + (b - a) * self.random()\n\n def triangular(self, low=0.0, high=1.0, mode=None):\n \"\"\"Triangular distribution.\n\n Continuous distribution bounded by given lower and upper limits,\n and having a given mode value in-between.\n\n http://en.wikipedia.org/wiki/Triangular_distribution\n\n The mean (expected value) and variance of the random variable are:\n\n E[X] = (low + high + mode) / 3\n Var[X] = (low**2 + high**2 + mode**2 - low*high - low*mode - high*mode) / 18\n\n \"\"\"\n u = self.random()\n try:\n c = 0.5 if mode is None else (mode - low) / (high - low)\n except ZeroDivisionError:\n return low\n if u > c:\n u = 1.0 - u\n c = 1.0 - c\n low, high = high, low\n return low + (high - low) * _sqrt(u * c)\n\n def normalvariate(self, mu=0.0, sigma=1.0):\n \"\"\"Normal distribution.\n\n mu is the mean, and sigma is the standard deviation.\n\n \"\"\"\n # Uses Kinderman and Monahan method. Reference: Kinderman,\n # A.J. and Monahan, J.F., \"Computer generation of random\n # variables using the ratio of uniform deviates\", ACM Trans\n # Math Software, 3, (1977), pp257-260.\n\n random = self.random\n while True:\n u1 = random()\n u2 = 1.0 - random()\n z = NV_MAGICCONST * (u1 - 0.5) / u2\n zz = z * z / 4.0\n if zz <= -_log(u2):\n break\n return mu + z * sigma\n\n def gauss(self, mu=0.0, sigma=1.0):\n \"\"\"Gaussian distribution.\n\n mu is the mean, and sigma is the standard deviation. This is\n slightly faster than the normalvariate() function.\n\n Not thread-safe without a lock around calls.\n\n \"\"\"\n # When x and y are two variables from [0, 1), uniformly\n # distributed, then\n #\n # cos(2*pi*x)*sqrt(-2*log(1-y))\n # sin(2*pi*x)*sqrt(-2*log(1-y))\n #\n # are two *independent* variables with normal distribution\n # (mu = 0, sigma = 1).\n # (Lambert Meertens)\n # (corrected version; bug discovered by Mike Miller, fixed by LM)\n\n # Multithreading note: When two threads call this function\n # simultaneously, it is possible that they will receive the\n # same return value. The window is very small though. To\n # avoid this, you have to use a lock around all calls. (I\n # didn't want to slow this down in the serial case by using a\n # lock here.)\n\n random = self.random\n z = self.gauss_next\n self.gauss_next = None\n if z is None:\n x2pi = random() * TWOPI\n g2rad = _sqrt(-2.0 * _log(1.0 - random()))\n z = _cos(x2pi) * g2rad\n self.gauss_next = _sin(x2pi) * g2rad\n\n return mu + z * sigma\n\n def lognormvariate(self, mu, sigma):\n \"\"\"Log normal distribution.\n\n If you take the natural logarithm of this distribution, you'll get a\n normal distribution with mean mu and standard deviation sigma.\n mu can have any value, and sigma must be greater than zero.\n\n \"\"\"\n return _exp(self.normalvariate(mu, sigma))\n\n def expovariate(self, lambd=1.0):\n \"\"\"Exponential distribution.\n\n lambd is 1.0 divided by the desired mean. It should be\n nonzero. (The parameter would be called \"lambda\", but that is\n a reserved word in Python.) Returned values range from 0 to\n positive infinity if lambd is positive, and from negative\n infinity to 0 if lambd is negative.\n\n The mean (expected value) and variance of the random variable are:\n\n E[X] = 1 / lambd\n Var[X] = 1 / lambd ** 2\n\n \"\"\"\n # we use 1-random() instead of random() to preclude the\n # possibility of taking the log of zero.\n\n return -_log(1.0 - self.random()) / lambd\n\n def vonmisesvariate(self, mu, kappa):\n \"\"\"Circular data distribution.\n\n mu is the mean angle, expressed in radians between 0 and 2*pi, and\n kappa is the concentration parameter, which must be greater than or\n equal to zero. If kappa is equal to zero, this distribution reduces\n to a uniform random angle over the range 0 to 2*pi.\n\n \"\"\"\n # Based upon an algorithm published in: Fisher, N.I.,\n # \"Statistical Analysis of Circular Data\", Cambridge\n # University Press, 1993.\n\n # Thanks to Magnus Kessler for a correction to the\n # implementation of step 4.\n\n random = self.random\n if kappa <= 1e-6:\n return TWOPI * random()\n\n s = 0.5 / kappa\n r = s + _sqrt(1.0 + s * s)\n\n while True:\n u1 = random()\n z = _cos(_pi * u1)\n\n d = z / (r + z)\n u2 = random()\n if u2 < 1.0 - d * d or u2 <= (1.0 - d) * _exp(d):\n break\n\n q = 1.0 / r\n f = (q + z) / (1.0 + q * z)\n u3 = random()\n if u3 > 0.5:\n theta = (mu + _acos(f)) % TWOPI\n else:\n theta = (mu - _acos(f)) % TWOPI\n\n return theta\n\n def gammavariate(self, alpha, beta):\n \"\"\"Gamma distribution. Not the gamma function!\n\n Conditions on the parameters are alpha > 0 and beta > 0.\n\n The probability distribution function is:\n\n x ** (alpha - 1) * math.exp(-x / beta)\n pdf(x) = --------------------------------------\n math.gamma(alpha) * beta ** alpha\n\n The mean (expected value) and variance of the random variable are:\n\n E[X] = alpha * beta\n Var[X] = alpha * beta ** 2\n\n \"\"\"\n\n # Warning: a few older sources define the gamma distribution in terms\n # of alpha > -1.0\n if alpha <= 0.0 or beta <= 0.0:\n raise ValueError('gammavariate: alpha and beta must be > 0.0')\n\n random = self.random\n if alpha > 1.0:\n\n # Uses R.C.H. Cheng, \"The generation of Gamma\n # variables with non-integral shape parameters\",\n # Applied Statistics, (1977), 26, No. 1, p71-74\n\n ainv = _sqrt(2.0 * alpha - 1.0)\n bbb = alpha - LOG4\n ccc = alpha + ainv\n\n while True:\n u1 = random()\n if not 1e-7 < u1 < 0.9999999:\n continue\n u2 = 1.0 - random()\n v = _log(u1 / (1.0 - u1)) / ainv\n x = alpha * _exp(v)\n z = u1 * u1 * u2\n r = bbb + ccc * v - x\n if r + SG_MAGICCONST - 4.5 * z >= 0.0 or r >= _log(z):\n return x * beta\n\n elif alpha == 1.0:\n # expovariate(1/beta)\n return -_log(1.0 - random()) * beta\n\n else:\n # alpha is between 0 and 1 (exclusive)\n # Uses ALGORITHM GS of Statistical Computing - Kennedy & Gentle\n while True:\n u = random()\n b = (_e + alpha) / _e\n p = b * u\n if p <= 1.0:\n x = p ** (1.0 / alpha)\n else:\n x = -_log((b - p) / alpha)\n u1 = random()\n if p > 1.0:\n if u1 <= x ** (alpha - 1.0):\n break\n elif u1 <= _exp(-x):\n break\n return x * beta\n\n def betavariate(self, alpha, beta):\n \"\"\"Beta distribution.\n\n Conditions on the parameters are alpha > 0 and beta > 0.\n Returned values range between 0 and 1.\n\n The mean (expected value) and variance of the random variable are:\n\n E[X] = alpha / (alpha + beta)\n Var[X] = alpha * beta / ((alpha + beta)**2 * (alpha + beta + 1))\n\n \"\"\"\n ## See\n ## http://mail.python.org/pipermail/python-bugs-list/2001-January/003752.html\n ## for Ivan Frohne's insightful analysis of why the original implementation:\n ##\n ## def betavariate(self, alpha, beta):\n ## # Discrete Event Simulation in C, pp 87-88.\n ##\n ## y = self.expovariate(alpha)\n ## z = self.expovariate(1.0/beta)\n ## return z/(y+z)\n ##\n ## was dead wrong, and how it probably got that way.\n\n # This version due to Janne Sinkkonen, and matches all the std\n # texts (e.g., Knuth Vol 2 Ed 3 pg 134 \"the beta distribution\").\n y = self.gammavariate(alpha, 1.0)\n if y:\n return y / (y + self.gammavariate(beta, 1.0))\n return 0.0\n\n def paretovariate(self, alpha):\n \"\"\"Pareto distribution. alpha is the shape parameter.\"\"\"\n # Jain, pg. 495\n\n u = 1.0 - self.random()\n return u ** (-1.0 / alpha)\n\n def weibullvariate(self, alpha, beta):\n \"\"\"Weibull distribution.\n\n alpha is the scale parameter and beta is the shape parameter.\n\n \"\"\"\n # Jain, pg. 499; bug fix courtesy Bill Arms\n\n u = 1.0 - self.random()\n return alpha * (-_log(u)) ** (1.0 / beta)\n\n\n ## -------------------- discrete distributions ---------------------\n\n def binomialvariate(self, n=1, p=0.5):\n \"\"\"Binomial random variable.\n\n Gives the number of successes for *n* independent trials\n with the probability of success in each trial being *p*:\n\n sum(random() < p for i in range(n))\n\n Returns an integer in the range: 0 <= X <= n\n\n The mean (expected value) and variance of the random variable are:\n\n E[X] = n * p\n Var[x] = n * p * (1 - p)\n\n \"\"\"\n # Error check inputs and handle edge cases\n if n < 0:\n raise ValueError(\"n must be non-negative\")\n if p <= 0.0 or p >= 1.0:\n if p == 0.0:\n return 0\n if p == 1.0:\n return n\n raise ValueError(\"p must be in the range 0.0 <= p <= 1.0\")\n\n random = self.random\n\n # Fast path for a common case\n if n == 1:\n return _index(random() < p)\n\n # Exploit symmetry to establish: p <= 0.5\n if p > 0.5:\n return n - self.binomialvariate(n, 1.0 - p)\n\n if n * p < 10.0:\n # BG: Geometric method by Devroye with running time of O(np).\n # https://dl.acm.org/doi/pdf/10.1145/42372.42381\n x = y = 0\n c = _log2(1.0 - p)\n if not c:\n return x\n while True:\n y += _floor(_log2(random()) / c) + 1\n if y > n:\n return x\n x += 1\n\n # BTRS: Transformed rejection with squeeze method by Wolfgang H\u00f6rmann\n # https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.47.8407&rep=rep1&type=pdf\n assert n*p >= 10.0 and p <= 0.5\n setup_complete = False\n\n spq = _sqrt(n * p * (1.0 - p)) # Standard deviation of the distribution\n b = 1.15 + 2.53 * spq\n a = -0.0873 + 0.0248 * b + 0.01 * p\n c = n * p + 0.5\n vr = 0.92 - 4.2 / b\n\n while True:\n\n u = random()\n u -= 0.5\n us = 0.5 - _fabs(u)\n k = _floor((2.0 * a / us + b) * u + c)\n if k < 0 or k > n:\n continue\n\n # The early-out \"squeeze\" test substantially reduces\n # the number of acceptance condition evaluations.\n v = random()\n if us >= 0.07 and v <= vr:\n return k\n\n # Acceptance-rejection test.\n # Note, the original paper erroneously omits the call to log(v)\n # when comparing to the log of the rescaled binomial distribution.\n if not setup_complete:\n alpha = (2.83 + 5.1 / b) * spq\n lpq = _log(p / (1.0 - p))\n m = _floor((n + 1) * p) # Mode of the distribution\n h = _lgamma(m + 1) + _lgamma(n - m + 1)\n setup_complete = True # Only needs to be done once\n v *= alpha / (a / (us * us) + b)\n if _log(v) <= h - _lgamma(k + 1) - _lgamma(n - k + 1) + (k - m) * lpq:\n return k\n\n\n## ------------------------------------------------------------------\n## --------------- Operating System Random Source ------------------\n\n\nclass SystemRandom(Random):\n \"\"\"Alternate random number generator using sources provided\n by the operating system (such as /dev/urandom on Unix or\n CryptGenRandom on Windows).\n\n Not available on all systems (see os.urandom() for details).\n\n \"\"\"\n\n def random(self):\n \"\"\"Get the next random number in the range 0.0 <= X < 1.0.\"\"\"\n return (int.from_bytes(_urandom(7)) >> 3) * RECIP_BPF\n\n def getrandbits(self, k):\n \"\"\"getrandbits(k) -> x. Generates an int with k random bits.\"\"\"\n if k < 0:\n raise ValueError('number of bits must be non-negative')\n numbytes = (k + 7) // 8 # bits / 8 and rounded up\n x = int.from_bytes(_urandom(numbytes))\n return x >> (numbytes * 8 - k) # trim excess bits\n\n def randbytes(self, n):\n \"\"\"Generate n random bytes.\"\"\"\n # os.urandom(n) fails with ValueError for n < 0\n # and returns an empty bytes string for n == 0.\n return _urandom(n)\n\n def seed(self, *args, **kwds):\n \"Stub method. Not used for a system random number generator.\"\n return None\n\n def _notimplemented(self, *args, **kwds):\n \"Method should not be called for a system random number generator.\"\n raise NotImplementedError('System entropy source does not have state.')\n getstate = setstate = _notimplemented\n\n\n# ----------------------------------------------------------------------\n# Create one instance, seeded from current time, and export its methods\n# as module-level functions. The functions share state across all uses\n# (both in the user's code and in the Python libraries), but that's fine\n# for most programs and is easier for the casual user than making them\n# instantiate their own Random() instance.\n\n_inst = Random()\nseed = _inst.seed\nrandom = _inst.random\nuniform = _inst.uniform\ntriangular = _inst.triangular\nrandint = _inst.randint\nchoice = _inst.choice\nrandrange = _inst.randrange\nsample = _inst.sample\nshuffle = _inst.shuffle\nchoices = _inst.choices\nnormalvariate = _inst.normalvariate\nlognormvariate = _inst.lognormvariate\nexpovariate = _inst.expovariate\nvonmisesvariate = _inst.vonmisesvariate\ngammavariate = _inst.gammavariate\ngauss = _inst.gauss\nbetavariate = _inst.betavariate\nbinomialvariate = _inst.binomialvariate\nparetovariate = _inst.paretovariate\nweibullvariate = _inst.weibullvariate\ngetstate = _inst.getstate\nsetstate = _inst.setstate\ngetrandbits = _inst.getrandbits\nrandbytes = _inst.randbytes\n\n\n## ------------------------------------------------------\n## ----------------- test program -----------------------\n\ndef _test_generator(n, func, args):\n from statistics import stdev, fmean as mean\n from time import perf_counter\n\n t0 = perf_counter()\n data = [func(*args) for i in _repeat(None, n)]\n t1 = perf_counter()\n\n xbar = mean(data)\n sigma = stdev(data, xbar)\n low = min(data)\n high = max(data)\n\n print(f'{t1 - t0:.3f} sec, {n} times {func.__name__}{args!r}')\n print('avg %g, stddev %g, min %g, max %g\\n' % (xbar, sigma, low, high))\n\n\ndef _test(N=10_000):\n _test_generator(N, random, ())\n _test_generator(N, normalvariate, (0.0, 1.0))\n _test_generator(N, lognormvariate, (0.0, 1.0))\n _test_generator(N, vonmisesvariate, (0.0, 1.0))\n _test_generator(N, binomialvariate, (15, 0.60))\n _test_generator(N, binomialvariate, (100, 0.75))\n _test_generator(N, gammavariate, (0.01, 1.0))\n _test_generator(N, gammavariate, (0.1, 1.0))\n _test_generator(N, gammavariate, (0.1, 2.0))\n _test_generator(N, gammavariate, (0.5, 1.0))\n _test_generator(N, gammavariate, (0.9, 1.0))\n _test_generator(N, gammavariate, (1.0, 1.0))\n _test_generator(N, gammavariate, (2.0, 1.0))\n _test_generator(N, gammavariate, (20.0, 1.0))\n _test_generator(N, gammavariate, (200.0, 1.0))\n _test_generator(N, gauss, (0.0, 1.0))\n _test_generator(N, betavariate, (3.0, 3.0))\n _test_generator(N, triangular, (0.0, 1.0, 1.0 / 3.0))\n\n\n## ------------------------------------------------------\n## ------------------ fork support ---------------------\n\nif hasattr(_os, \"fork\"):\n _os.register_at_fork(after_in_child=_inst.seed)\n\n\nif __name__ == '__main__':\n _test()\n", 996], "/usr/lib/python3.12/tempfile.py": ["\"\"\"Temporary files.\n\nThis module provides generic, low- and high-level interfaces for\ncreating temporary files and directories. All of the interfaces\nprovided by this module can be used without fear of race conditions\nexcept for 'mktemp'. 'mktemp' is subject to race conditions and\nshould not be used; it is provided for backward compatibility only.\n\nThe default path names are returned as str. If you supply bytes as\ninput, all return values will be in bytes. Ex:\n\n >>> tempfile.mkstemp()\n (4, '/tmp/tmptpu9nin8')\n >>> tempfile.mkdtemp(suffix=b'')\n b'/tmp/tmppbi8f0hy'\n\nThis module also provides some data items to the user:\n\n TMP_MAX - maximum number of names that will be tried before\n giving up.\n tempdir - If this is set to a string before the first use of\n any routine from this module, it will be considered as\n another candidate location to store temporary files.\n\"\"\"\n\n__all__ = [\n \"NamedTemporaryFile\", \"TemporaryFile\", # high level safe interfaces\n \"SpooledTemporaryFile\", \"TemporaryDirectory\",\n \"mkstemp\", \"mkdtemp\", # low level safe interfaces\n \"mktemp\", # deprecated unsafe interface\n \"TMP_MAX\", \"gettempprefix\", # constants\n \"tempdir\", \"gettempdir\",\n \"gettempprefixb\", \"gettempdirb\",\n ]\n\n\n# Imports.\n\nimport functools as _functools\nimport warnings as _warnings\nimport io as _io\nimport os as _os\ntry:\n import shutil as _shutil\n _rmtree = _shutil.rmtree\nexcept ImportError:\n import sys as _sys\n import stat as _stat\n # version vulnerable to race conditions\n def _rmtree_unsafe(path, onerror):\n try:\n if _os.path.islink(path):\n # symlinks to directories are forbidden, see bug #1669\n raise OSError(\"Cannot call rmtree on a symbolic link\")\n except OSError:\n onerror(_os.path.islink, path, _sys.exc_info())\n # can't continue even if onerror hook returns\n return\n names = []\n try:\n names = _os.listdir(path)\n except OSError:\n onerror(_os.listdir, path, _sys.exc_info())\n for name in names:\n fullname = _os.path.join(path, name)\n try:\n mode = _os.lstat(fullname).st_mode\n except OSError:\n mode = 0\n if _stat.S_ISDIR(mode):\n _rmtree_unsafe(fullname, onerror)\n else:\n try:\n _os.unlink(fullname)\n except OSError:\n onerror(_os.unlink, fullname, _sys.exc_info())\n try:\n _os.rmdir(path)\n except OSError:\n onerror(_os.rmdir, path, _sys.exc_info())\n\n # Version using fd-based APIs to protect against races\n def _rmtree_safe_fd(topfd, path, onerror):\n names = []\n try:\n names = _os.listdir(topfd)\n except OSError as err:\n err.filename = path\n onerror(_os.listdir, path, _sys.exc_info())\n for name in names:\n fullname = _os.path.join(path, name)\n try:\n orig_st = _os.stat(name, dir_fd=topfd, follow_symlinks=False)\n mode = orig_st.st_mode\n except OSError:\n mode = 0\n if _stat.S_ISDIR(mode):\n try:\n dirfd = _os.open(name, _os.O_RDONLY, dir_fd=topfd)\n except OSError:\n onerror(_os.open, fullname, _sys.exc_info())\n else:\n try:\n if _os.path.samestat(orig_st, _os.fstat(dirfd)):\n _rmtree_safe_fd(dirfd, fullname, onerror)\n try:\n _os.rmdir(name, dir_fd=topfd)\n except OSError:\n onerror(_os.rmdir, fullname, _sys.exc_info())\n else:\n try:\n # This can only happen if someone replaces\n # a directory with a symlink after the call to\n # stat.S_ISDIR above.\n raise OSError(\"Cannot call rmtree on a symbolic \"\n \"link\")\n except OSError:\n onerror(_os.path.islink, fullname, _sys.exc_info())\n finally:\n _os.close(dirfd)\n else:\n try:\n _os.unlink(name, dir_fd=topfd)\n except OSError:\n onerror(_os.unlink, fullname, _sys.exc_info())\n\n _use_fd_functions = ({_os.open, _os.stat, _os.unlink, _os.rmdir} <=\n _os.supports_dir_fd and\n _os.listdir in _os.supports_fd and\n _os.stat in _os.supports_follow_symlinks)\n\n def _rmtree(path, ignore_errors=False, onerror=None):\n \"\"\"Recursively delete a directory tree.\n\n If ignore_errors is set, errors are ignored; otherwise, if onerror\n is set, it is called to handle the error with arguments (func,\n path, exc_info) where func is platform and implementation dependent;\n path is the argument to that function that caused it to fail; and\n exc_info is a tuple returned by sys.exc_info(). If ignore_errors\n is false and onerror is None, an exception is raised.\n\n \"\"\"\n if ignore_errors:\n def onerror(*args):\n pass\n elif onerror is None:\n def onerror(*args):\n raise\n if _use_fd_functions:\n # While the unsafe rmtree works fine on bytes, the fd based does not.\n if isinstance(path, bytes):\n path = _os.fsdecode(path)\n # Note: To guard against symlink races, we use the standard\n # lstat()/open()/fstat() trick.\n try:\n orig_st = _os.lstat(path)\n except Exception:\n onerror(_os.lstat, path, _sys.exc_info())\n return\n try:\n fd = _os.open(path, _os.O_RDONLY)\n except Exception:\n onerror(_os.lstat, path, _sys.exc_info())\n return\n try:\n if _os.path.samestat(orig_st, _os.fstat(fd)):\n _rmtree_safe_fd(fd, path, onerror)\n try:\n _os.rmdir(path)\n except OSError:\n onerror(_os.rmdir, path, _sys.exc_info())\n else:\n try:\n # symlinks to directories are forbidden, see bug #1669\n raise OSError(\"Cannot call rmtree on a symbolic link\")\n except OSError:\n onerror(_os.path.islink, path, _sys.exc_info())\n finally:\n _os.close(fd)\n else:\n return _rmtree_unsafe(path, onerror)\n\nimport errno as _errno\nfrom random import Random as _Random\nimport sys as _sys\nimport types as _types\nimport weakref as _weakref\nimport _thread\n_allocate_lock = _thread.allocate_lock\n\n_text_openflags = _os.O_RDWR | _os.O_CREAT | _os.O_EXCL\nif hasattr(_os, 'O_NOFOLLOW'):\n _text_openflags |= _os.O_NOFOLLOW\n\n_bin_openflags = _text_openflags\nif hasattr(_os, 'O_BINARY'):\n _bin_openflags |= _os.O_BINARY\n\nif hasattr(_os, 'TMP_MAX'):\n TMP_MAX = _os.TMP_MAX\nelse:\n TMP_MAX = 10000\n\n# This variable _was_ unused for legacy reasons, see issue 10354.\n# But as of 3.5 we actually use it at runtime so changing it would\n# have a possibly desirable side effect... But we do not want to support\n# that as an API. It is undocumented on purpose. Do not depend on this.\ntemplate = \"tmp\"\n\n# Internal routines.\n\n_once_lock = _allocate_lock()\n\n\ndef _exists(fn):\n try:\n _os.lstat(fn)\n except OSError:\n return False\n else:\n return True\n\n\ndef _infer_return_type(*args):\n \"\"\"Look at the type of all args and divine their implied return type.\"\"\"\n return_type = None\n for arg in args:\n if arg is None:\n continue\n\n if isinstance(arg, _os.PathLike):\n arg = _os.fspath(arg)\n\n if isinstance(arg, bytes):\n if return_type is str:\n raise TypeError(\"Can't mix bytes and non-bytes in \"\n \"path components.\")\n return_type = bytes\n else:\n if return_type is bytes:\n raise TypeError(\"Can't mix bytes and non-bytes in \"\n \"path components.\")\n return_type = str\n if return_type is None:\n if tempdir is None or isinstance(tempdir, str):\n return str # tempfile APIs return a str by default.\n else:\n # we could check for bytes but it'll fail later on anyway\n return bytes\n return return_type\n\n\ndef _sanitize_params(prefix, suffix, dir):\n \"\"\"Common parameter processing for most APIs in this module.\"\"\"\n output_type = _infer_return_type(prefix, suffix, dir)\n if suffix is None:\n suffix = output_type()\n if prefix is None:\n if output_type is str:\n prefix = template\n else:\n prefix = _os.fsencode(template)\n if dir is None:\n if output_type is str:\n dir = gettempdir()\n else:\n dir = gettempdirb()\n return prefix, suffix, dir, output_type\n\n\nclass _RandomNameSequence:\n \"\"\"An instance of _RandomNameSequence generates an endless\n sequence of unpredictable strings which can safely be incorporated\n into file names. Each string is eight characters long. Multiple\n threads can safely use the same instance at the same time.\n\n _RandomNameSequence is an iterator.\"\"\"\n\n characters = \"abcdefghijklmnopqrstuvwxyz0123456789_\"\n\n @property\n def rng(self):\n cur_pid = _os.getpid()\n if cur_pid != getattr(self, '_rng_pid', None):\n self._rng = _Random()\n self._rng_pid = cur_pid\n return self._rng\n\n def __iter__(self):\n return self\n\n def __next__(self):\n return ''.join(self.rng.choices(self.characters, k=8))\n\ndef _candidate_tempdir_list():\n \"\"\"Generate a list of candidate temporary directories which\n _get_default_tempdir will try.\"\"\"\n\n dirlist = []\n\n # First, try the environment.\n for envname in 'TMPDIR', 'TEMP', 'TMP':\n dirname = _os.getenv(envname)\n if dirname: dirlist.append(dirname)\n\n # Failing that, try OS-specific locations.\n if _os.name == 'nt':\n dirlist.extend([ _os.path.expanduser(r'~\\AppData\\Local\\Temp'),\n _os.path.expandvars(r'%SYSTEMROOT%\\Temp'),\n r'c:\\temp', r'c:\\tmp', r'\\temp', r'\\tmp' ])\n else:\n dirlist.extend([ '/tmp', '/var/tmp', '/usr/tmp' ])\n\n # As a last resort, the current directory.\n try:\n dirlist.append(_os.getcwd())\n except (AttributeError, OSError):\n dirlist.append(_os.curdir)\n\n return dirlist\n\ndef _get_default_tempdir():\n \"\"\"Calculate the default directory to use for temporary files.\n This routine should be called exactly once.\n\n We determine whether or not a candidate temp dir is usable by\n trying to create and write to a file in that directory. If this\n is successful, the test file is deleted. To prevent denial of\n service, the name of the test file must be randomized.\"\"\"\n\n namer = _RandomNameSequence()\n dirlist = _candidate_tempdir_list()\n\n for dir in dirlist:\n if dir != _os.curdir:\n dir = _os.path.abspath(dir)\n # Try only a few names per directory.\n for seq in range(100):\n name = next(namer)\n filename = _os.path.join(dir, name)\n try:\n fd = _os.open(filename, _bin_openflags, 0o600)\n try:\n try:\n _os.write(fd, b'blat')\n finally:\n _os.close(fd)\n finally:\n _os.unlink(filename)\n return dir\n except FileExistsError:\n pass\n except PermissionError:\n # This exception is thrown when a directory with the chosen name\n # already exists on windows.\n if (_os.name == 'nt' and _os.path.isdir(dir) and\n _os.access(dir, _os.W_OK)):\n continue\n break # no point trying more names in this directory\n except OSError:\n break # no point trying more names in this directory\n raise FileNotFoundError(_errno.ENOENT,\n \"No usable temporary directory found in %s\" %\n dirlist)\n\n_name_sequence = None\n\ndef _get_candidate_names():\n \"\"\"Common setup sequence for all user-callable interfaces.\"\"\"\n\n global _name_sequence\n if _name_sequence is None:\n _once_lock.acquire()\n try:\n if _name_sequence is None:\n _name_sequence = _RandomNameSequence()\n finally:\n _once_lock.release()\n return _name_sequence\n\n\ndef _mkstemp_inner(dir, pre, suf, flags, output_type):\n \"\"\"Code common to mkstemp, TemporaryFile, and NamedTemporaryFile.\"\"\"\n\n dir = _os.path.abspath(dir)\n names = _get_candidate_names()\n if output_type is bytes:\n names = map(_os.fsencode, names)\n\n for seq in range(TMP_MAX):\n name = next(names)\n file = _os.path.join(dir, pre + name + suf)\n _sys.audit(\"tempfile.mkstemp\", file)\n try:\n fd = _os.open(file, flags, 0o600)\n except FileExistsError:\n continue # try again\n except PermissionError:\n # This exception is thrown when a directory with the chosen name\n # already exists on windows.\n if (_os.name == 'nt' and _os.path.isdir(dir) and\n _os.access(dir, _os.W_OK)):\n continue\n else:\n raise\n return fd, file\n\n raise FileExistsError(_errno.EEXIST,\n \"No usable temporary file name found\")\n\ndef _dont_follow_symlinks(func, path, *args):\n # Pass follow_symlinks=False, unless not supported on this platform.\n if func in _os.supports_follow_symlinks:\n func(path, *args, follow_symlinks=False)\n elif _os.name == 'nt' or not _os.path.islink(path):\n func(path, *args)\n\ndef _resetperms(path):\n try:\n chflags = _os.chflags\n except AttributeError:\n pass\n else:\n _dont_follow_symlinks(chflags, path, 0)\n _dont_follow_symlinks(_os.chmod, path, 0o700)\n\n\n# User visible interfaces.\n\ndef gettempprefix():\n \"\"\"The default prefix for temporary directories as string.\"\"\"\n return _os.fsdecode(template)\n\ndef gettempprefixb():\n \"\"\"The default prefix for temporary directories as bytes.\"\"\"\n return _os.fsencode(template)\n\ntempdir = None\n\ndef _gettempdir():\n \"\"\"Private accessor for tempfile.tempdir.\"\"\"\n global tempdir\n if tempdir is None:\n _once_lock.acquire()\n try:\n if tempdir is None:\n tempdir = _get_default_tempdir()\n finally:\n _once_lock.release()\n return tempdir\n\ndef gettempdir():\n \"\"\"Returns tempfile.tempdir as str.\"\"\"\n return _os.fsdecode(_gettempdir())\n\ndef gettempdirb():\n \"\"\"Returns tempfile.tempdir as bytes.\"\"\"\n return _os.fsencode(_gettempdir())\n\ndef mkstemp(suffix=None, prefix=None, dir=None, text=False):\n \"\"\"User-callable function to create and return a unique temporary\n file. The return value is a pair (fd, name) where fd is the\n file descriptor returned by os.open, and name is the filename.\n\n If 'suffix' is not None, the file name will end with that suffix,\n otherwise there will be no suffix.\n\n If 'prefix' is not None, the file name will begin with that prefix,\n otherwise a default prefix is used.\n\n If 'dir' is not None, the file will be created in that directory,\n otherwise a default directory is used.\n\n If 'text' is specified and true, the file is opened in text\n mode. Else (the default) the file is opened in binary mode.\n\n If any of 'suffix', 'prefix' and 'dir' are not None, they must be the\n same type. If they are bytes, the returned name will be bytes; str\n otherwise.\n\n The file is readable and writable only by the creating user ID.\n If the operating system uses permission bits to indicate whether a\n file is executable, the file is executable by no one. The file\n descriptor is not inherited by children of this process.\n\n Caller is responsible for deleting the file when done with it.\n \"\"\"\n\n prefix, suffix, dir, output_type = _sanitize_params(prefix, suffix, dir)\n\n if text:\n flags = _text_openflags\n else:\n flags = _bin_openflags\n\n return _mkstemp_inner(dir, prefix, suffix, flags, output_type)\n\n\ndef mkdtemp(suffix=None, prefix=None, dir=None):\n \"\"\"User-callable function to create and return a unique temporary\n directory. The return value is the pathname of the directory.\n\n Arguments are as for mkstemp, except that the 'text' argument is\n not accepted.\n\n The directory is readable, writable, and searchable only by the\n creating user.\n\n Caller is responsible for deleting the directory when done with it.\n \"\"\"\n\n prefix, suffix, dir, output_type = _sanitize_params(prefix, suffix, dir)\n\n names = _get_candidate_names()\n if output_type is bytes:\n names = map(_os.fsencode, names)\n\n for seq in range(TMP_MAX):\n name = next(names)\n file = _os.path.join(dir, prefix + name + suffix)\n _sys.audit(\"tempfile.mkdtemp\", file)\n try:\n _os.mkdir(file, 0o700)\n except FileExistsError:\n continue # try again\n except PermissionError:\n # This exception is thrown when a directory with the chosen name\n # already exists on windows.\n if (_os.name == 'nt' and _os.path.isdir(dir) and\n _os.access(dir, _os.W_OK)):\n continue\n else:\n raise\n return _os.path.abspath(file)\n\n raise FileExistsError(_errno.EEXIST,\n \"No usable temporary directory name found\")\n\ndef mktemp(suffix=\"\", prefix=template, dir=None):\n \"\"\"User-callable function to return a unique temporary file name. The\n file is not created.\n\n Arguments are similar to mkstemp, except that the 'text' argument is\n not accepted, and suffix=None, prefix=None and bytes file names are not\n supported.\n\n THIS FUNCTION IS UNSAFE AND SHOULD NOT BE USED. The file name may\n refer to a file that did not exist at some point, but by the time\n you get around to creating it, someone else may have beaten you to\n the punch.\n \"\"\"\n\n## from warnings import warn as _warn\n## _warn(\"mktemp is a potential security risk to your program\",\n## RuntimeWarning, stacklevel=2)\n\n if dir is None:\n dir = gettempdir()\n\n names = _get_candidate_names()\n for seq in range(TMP_MAX):\n name = next(names)\n file = _os.path.join(dir, prefix + name + suffix)\n if not _exists(file):\n return file\n\n raise FileExistsError(_errno.EEXIST,\n \"No usable temporary filename found\")\n\n\nclass _TemporaryFileCloser:\n \"\"\"A separate object allowing proper closing of a temporary file's\n underlying file object, without adding a __del__ method to the\n temporary file.\"\"\"\n\n cleanup_called = False\n close_called = False\n\n def __init__(self, file, name, delete=True, delete_on_close=True):\n self.file = file\n self.name = name\n self.delete = delete\n self.delete_on_close = delete_on_close\n\n def cleanup(self, windows=(_os.name == 'nt'), unlink=_os.unlink):\n if not self.cleanup_called:\n self.cleanup_called = True\n try:\n if not self.close_called:\n self.close_called = True\n self.file.close()\n finally:\n # Windows provides delete-on-close as a primitive, in which\n # case the file was deleted by self.file.close().\n if self.delete and not (windows and self.delete_on_close):\n try:\n unlink(self.name)\n except FileNotFoundError:\n pass\n\n def close(self):\n if not self.close_called:\n self.close_called = True\n try:\n self.file.close()\n finally:\n if self.delete and self.delete_on_close:\n self.cleanup()\n\n def __del__(self):\n self.cleanup()\n\n\nclass _TemporaryFileWrapper:\n \"\"\"Temporary file wrapper\n\n This class provides a wrapper around files opened for\n temporary use. In particular, it seeks to automatically\n remove the file when it is no longer needed.\n \"\"\"\n\n def __init__(self, file, name, delete=True, delete_on_close=True):\n self.file = file\n self.name = name\n self._closer = _TemporaryFileCloser(file, name, delete,\n delete_on_close)\n\n def __getattr__(self, name):\n # Attribute lookups are delegated to the underlying file\n # and cached for non-numeric results\n # (i.e. methods are cached, closed and friends are not)\n file = self.__dict__['file']\n a = getattr(file, name)\n if hasattr(a, '__call__'):\n func = a\n @_functools.wraps(func)\n def func_wrapper(*args, **kwargs):\n return func(*args, **kwargs)\n # Avoid closing the file as long as the wrapper is alive,\n # see issue #18879.\n func_wrapper._closer = self._closer\n a = func_wrapper\n if not isinstance(a, int):\n setattr(self, name, a)\n return a\n\n # The underlying __enter__ method returns the wrong object\n # (self.file) so override it to return the wrapper\n def __enter__(self):\n self.file.__enter__()\n return self\n\n # Need to trap __exit__ as well to ensure the file gets\n # deleted when used in a with statement\n def __exit__(self, exc, value, tb):\n result = self.file.__exit__(exc, value, tb)\n self._closer.cleanup()\n return result\n\n def close(self):\n \"\"\"\n Close the temporary file, possibly deleting it.\n \"\"\"\n self._closer.close()\n\n # iter() doesn't use __getattr__ to find the __iter__ method\n def __iter__(self):\n # Don't return iter(self.file), but yield from it to avoid closing\n # file as long as it's being used as iterator (see issue #23700). We\n # can't use 'yield from' here because iter(file) returns the file\n # object itself, which has a close method, and thus the file would get\n # closed when the generator is finalized, due to PEP380 semantics.\n for line in self.file:\n yield line\n\ndef NamedTemporaryFile(mode='w+b', buffering=-1, encoding=None,\n newline=None, suffix=None, prefix=None,\n dir=None, delete=True, *, errors=None,\n delete_on_close=True):\n \"\"\"Create and return a temporary file.\n Arguments:\n 'prefix', 'suffix', 'dir' -- as for mkstemp.\n 'mode' -- the mode argument to io.open (default \"w+b\").\n 'buffering' -- the buffer size argument to io.open (default -1).\n 'encoding' -- the encoding argument to io.open (default None)\n 'newline' -- the newline argument to io.open (default None)\n 'delete' -- whether the file is automatically deleted (default True).\n 'delete_on_close' -- if 'delete', whether the file is deleted on close\n (default True) or otherwise either on context manager exit\n (if context manager was used) or on object finalization. .\n 'errors' -- the errors argument to io.open (default None)\n The file is created as mkstemp() would do it.\n\n Returns an object with a file-like interface; the name of the file\n is accessible as its 'name' attribute. The file will be automatically\n deleted when it is closed unless the 'delete' argument is set to False.\n\n On POSIX, NamedTemporaryFiles cannot be automatically deleted if\n the creating process is terminated abruptly with a SIGKILL signal.\n Windows can delete the file even in this case.\n \"\"\"\n\n prefix, suffix, dir, output_type = _sanitize_params(prefix, suffix, dir)\n\n flags = _bin_openflags\n\n # Setting O_TEMPORARY in the flags causes the OS to delete\n # the file when it is closed. This is only supported by Windows.\n if _os.name == 'nt' and delete and delete_on_close:\n flags |= _os.O_TEMPORARY\n\n if \"b\" not in mode:\n encoding = _io.text_encoding(encoding)\n\n name = None\n def opener(*args):\n nonlocal name\n fd, name = _mkstemp_inner(dir, prefix, suffix, flags, output_type)\n return fd\n try:\n file = _io.open(dir, mode, buffering=buffering,\n newline=newline, encoding=encoding, errors=errors,\n opener=opener)\n try:\n raw = getattr(file, 'buffer', file)\n raw = getattr(raw, 'raw', raw)\n raw.name = name\n return _TemporaryFileWrapper(file, name, delete, delete_on_close)\n except:\n file.close()\n raise\n except:\n if name is not None and not (\n _os.name == 'nt' and delete and delete_on_close):\n _os.unlink(name)\n raise\n\nif _os.name != 'posix' or _sys.platform == 'cygwin':\n # On non-POSIX and Cygwin systems, assume that we cannot unlink a file\n # while it is open.\n TemporaryFile = NamedTemporaryFile\n\nelse:\n # Is the O_TMPFILE flag available and does it work?\n # The flag is set to False if os.open(dir, os.O_TMPFILE) raises an\n # IsADirectoryError exception\n _O_TMPFILE_WORKS = hasattr(_os, 'O_TMPFILE')\n\n def TemporaryFile(mode='w+b', buffering=-1, encoding=None,\n newline=None, suffix=None, prefix=None,\n dir=None, *, errors=None):\n \"\"\"Create and return a temporary file.\n Arguments:\n 'prefix', 'suffix', 'dir' -- as for mkstemp.\n 'mode' -- the mode argument to io.open (default \"w+b\").\n 'buffering' -- the buffer size argument to io.open (default -1).\n 'encoding' -- the encoding argument to io.open (default None)\n 'newline' -- the newline argument to io.open (default None)\n 'errors' -- the errors argument to io.open (default None)\n The file is created as mkstemp() would do it.\n\n Returns an object with a file-like interface. The file has no\n name, and will cease to exist when it is closed.\n \"\"\"\n global _O_TMPFILE_WORKS\n\n if \"b\" not in mode:\n encoding = _io.text_encoding(encoding)\n\n prefix, suffix, dir, output_type = _sanitize_params(prefix, suffix, dir)\n\n flags = _bin_openflags\n if _O_TMPFILE_WORKS:\n fd = None\n def opener(*args):\n nonlocal fd\n flags2 = (flags | _os.O_TMPFILE) & ~_os.O_CREAT\n fd = _os.open(dir, flags2, 0o600)\n return fd\n try:\n file = _io.open(dir, mode, buffering=buffering,\n newline=newline, encoding=encoding,\n errors=errors, opener=opener)\n raw = getattr(file, 'buffer', file)\n raw = getattr(raw, 'raw', raw)\n raw.name = fd\n return file\n except IsADirectoryError:\n # Linux kernel older than 3.11 ignores the O_TMPFILE flag:\n # O_TMPFILE is read as O_DIRECTORY. Trying to open a directory\n # with O_RDWR|O_DIRECTORY fails with IsADirectoryError, a\n # directory cannot be open to write. Set flag to False to not\n # try again.\n _O_TMPFILE_WORKS = False\n except OSError:\n # The filesystem of the directory does not support O_TMPFILE.\n # For example, OSError(95, 'Operation not supported').\n #\n # On Linux kernel older than 3.11, trying to open a regular\n # file (or a symbolic link to a regular file) with O_TMPFILE\n # fails with NotADirectoryError, because O_TMPFILE is read as\n # O_DIRECTORY.\n pass\n # Fallback to _mkstemp_inner().\n\n fd = None\n def opener(*args):\n nonlocal fd\n fd, name = _mkstemp_inner(dir, prefix, suffix, flags, output_type)\n try:\n _os.unlink(name)\n except BaseException as e:\n _os.close(fd)\n raise\n return fd\n file = _io.open(dir, mode, buffering=buffering,\n newline=newline, encoding=encoding, errors=errors,\n opener=opener)\n raw = getattr(file, 'buffer', file)\n raw = getattr(raw, 'raw', raw)\n raw.name = fd\n return file\n\nclass SpooledTemporaryFile(_io.IOBase):\n \"\"\"Temporary file wrapper, specialized to switch from BytesIO\n or StringIO to a real file when it exceeds a certain size or\n when a fileno is needed.\n \"\"\"\n _rolled = False\n\n def __init__(self, max_size=0, mode='w+b', buffering=-1,\n encoding=None, newline=None,\n suffix=None, prefix=None, dir=None, *, errors=None):\n if 'b' in mode:\n self._file = _io.BytesIO()\n else:\n encoding = _io.text_encoding(encoding)\n self._file = _io.TextIOWrapper(_io.BytesIO(),\n encoding=encoding, errors=errors,\n newline=newline)\n self._max_size = max_size\n self._rolled = False\n self._TemporaryFileArgs = {'mode': mode, 'buffering': buffering,\n 'suffix': suffix, 'prefix': prefix,\n 'encoding': encoding, 'newline': newline,\n 'dir': dir, 'errors': errors}\n\n __class_getitem__ = classmethod(_types.GenericAlias)\n\n def _check(self, file):\n if self._rolled: return\n max_size = self._max_size\n if max_size and file.tell() > max_size:\n self.rollover()\n\n def rollover(self):\n if self._rolled: return\n file = self._file\n newfile = self._file = TemporaryFile(**self._TemporaryFileArgs)\n del self._TemporaryFileArgs\n\n pos = file.tell()\n if hasattr(newfile, 'buffer'):\n newfile.buffer.write(file.detach().getvalue())\n else:\n newfile.write(file.getvalue())\n newfile.seek(pos, 0)\n\n self._rolled = True\n\n # The method caching trick from NamedTemporaryFile\n # won't work here, because _file may change from a\n # BytesIO/StringIO instance to a real file. So we list\n # all the methods directly.\n\n # Context management protocol\n def __enter__(self):\n if self._file.closed:\n raise ValueError(\"Cannot enter context with closed file\")\n return self\n\n def __exit__(self, exc, value, tb):\n self._file.close()\n\n # file protocol\n def __iter__(self):\n return self._file.__iter__()\n\n def __del__(self):\n if not self.closed:\n _warnings.warn(\n \"Unclosed file {!r}\".format(self),\n ResourceWarning,\n stacklevel=2,\n source=self\n )\n self.close()\n\n def close(self):\n self._file.close()\n\n @property\n def closed(self):\n return self._file.closed\n\n @property\n def encoding(self):\n return self._file.encoding\n\n @property\n def errors(self):\n return self._file.errors\n\n def fileno(self):\n self.rollover()\n return self._file.fileno()\n\n def flush(self):\n self._file.flush()\n\n def isatty(self):\n return self._file.isatty()\n\n @property\n def mode(self):\n try:\n return self._file.mode\n except AttributeError:\n return self._TemporaryFileArgs['mode']\n\n @property\n def name(self):\n try:\n return self._file.name\n except AttributeError:\n return None\n\n @property\n def newlines(self):\n return self._file.newlines\n\n def readable(self):\n return self._file.readable()\n\n def read(self, *args):\n return self._file.read(*args)\n\n def read1(self, *args):\n return self._file.read1(*args)\n\n def readinto(self, b):\n return self._file.readinto(b)\n\n def readinto1(self, b):\n return self._file.readinto1(b)\n\n def readline(self, *args):\n return self._file.readline(*args)\n\n def readlines(self, *args):\n return self._file.readlines(*args)\n\n def seekable(self):\n return self._file.seekable()\n\n def seek(self, *args):\n return self._file.seek(*args)\n\n def tell(self):\n return self._file.tell()\n\n def truncate(self, size=None):\n if size is None:\n return self._file.truncate()\n else:\n if size > self._max_size:\n self.rollover()\n return self._file.truncate(size)\n\n def writable(self):\n return self._file.writable()\n\n def write(self, s):\n file = self._file\n rv = file.write(s)\n self._check(file)\n return rv\n\n def writelines(self, iterable):\n file = self._file\n rv = file.writelines(iterable)\n self._check(file)\n return rv\n\n def detach(self):\n return self._file.detach()\n\n\nclass TemporaryDirectory:\n \"\"\"Create and return a temporary directory. This has the same\n behavior as mkdtemp but can be used as a context manager. For\n example:\n\n with TemporaryDirectory() as tmpdir:\n ...\n\n Upon exiting the context, the directory and everything contained\n in it are removed (unless delete=False is passed or an exception\n is raised during cleanup and ignore_cleanup_errors is not True).\n\n Optional Arguments:\n suffix - A str suffix for the directory name. (see mkdtemp)\n prefix - A str prefix for the directory name. (see mkdtemp)\n dir - A directory to create this temp dir in. (see mkdtemp)\n ignore_cleanup_errors - False; ignore exceptions during cleanup?\n delete - True; whether the directory is automatically deleted.\n \"\"\"\n\n def __init__(self, suffix=None, prefix=None, dir=None,\n ignore_cleanup_errors=False, *, delete=True):\n self.name = mkdtemp(suffix, prefix, dir)\n self._ignore_cleanup_errors = ignore_cleanup_errors\n self._delete = delete\n self._finalizer = _weakref.finalize(\n self, self._cleanup, self.name,\n warn_message=\"Implicitly cleaning up {!r}\".format(self),\n ignore_errors=self._ignore_cleanup_errors, delete=self._delete)\n\n @classmethod\n def _rmtree(cls, name, ignore_errors=False, repeated=False):\n def onexc(func, path, exc):\n if isinstance(exc, PermissionError):\n if repeated and path == name:\n if ignore_errors:\n return\n raise\n\n try:\n if path != name:\n _resetperms(_os.path.dirname(path))\n _resetperms(path)\n\n try:\n _os.unlink(path)\n except IsADirectoryError:\n cls._rmtree(path, ignore_errors=ignore_errors)\n except PermissionError:\n # The PermissionError handler was originally added for\n # FreeBSD in directories, but it seems that it is raised\n # on Windows too.\n # bpo-43153: Calling _rmtree again may\n # raise NotADirectoryError and mask the PermissionError.\n # So we must re-raise the current PermissionError if\n # path is not a directory.\n if not _os.path.isdir(path) or _os.path.isjunction(path):\n if ignore_errors:\n return\n raise\n cls._rmtree(path, ignore_errors=ignore_errors,\n repeated=(path == name))\n except FileNotFoundError:\n pass\n elif isinstance(exc, FileNotFoundError):\n pass\n else:\n if not ignore_errors:\n raise\n\n _rmtree(name, onexc=onexc)\n\n @classmethod\n def _cleanup(cls, name, warn_message, ignore_errors=False, delete=True):\n if delete:\n cls._rmtree(name, ignore_errors=ignore_errors)\n _warnings.warn(warn_message, ResourceWarning)\n\n def __repr__(self):\n return \"<{} {!r}>\".format(self.__class__.__name__, self.name)\n\n def __enter__(self):\n return self.name\n\n def __exit__(self, exc, value, tb):\n if self._delete:\n self.cleanup()\n\n def cleanup(self):\n if self._finalizer.detach() or _os.path.exists(self.name):\n self._rmtree(self.name, ignore_errors=self._ignore_cleanup_errors)\n\n __class_getitem__ = classmethod(_types.GenericAlias)\n", 1091], "/usr/lib/python3.12/weakref.py": ["\"\"\"Weak reference support for Python.\n\nThis module is an implementation of PEP 205:\n\nhttps://peps.python.org/pep-0205/\n\"\"\"\n\n# Naming convention: Variables named \"wr\" are weak reference objects;\n# they are called this instead of \"ref\" to avoid name collisions with\n# the module-global ref() function imported from _weakref.\n\nfrom _weakref import (\n getweakrefcount,\n getweakrefs,\n ref,\n proxy,\n CallableProxyType,\n ProxyType,\n ReferenceType,\n _remove_dead_weakref)\n\nfrom _weakrefset import WeakSet, _IterationGuard\n\nimport _collections_abc # Import after _weakref to avoid circular import.\nimport sys\nimport itertools\n\nProxyTypes = (ProxyType, CallableProxyType)\n\n__all__ = [\"ref\", \"proxy\", \"getweakrefcount\", \"getweakrefs\",\n \"WeakKeyDictionary\", \"ReferenceType\", \"ProxyType\",\n \"CallableProxyType\", \"ProxyTypes\", \"WeakValueDictionary\",\n \"WeakSet\", \"WeakMethod\", \"finalize\"]\n\n\n_collections_abc.MutableSet.register(WeakSet)\n\nclass WeakMethod(ref):\n \"\"\"\n A custom `weakref.ref` subclass which simulates a weak reference to\n a bound method, working around the lifetime problem of bound methods.\n \"\"\"\n\n __slots__ = \"_func_ref\", \"_meth_type\", \"_alive\", \"__weakref__\"\n\n def __new__(cls, meth, callback=None):\n try:\n obj = meth.__self__\n func = meth.__func__\n except AttributeError:\n raise TypeError(\"argument should be a bound method, not {}\"\n .format(type(meth))) from None\n def _cb(arg):\n # The self-weakref trick is needed to avoid creating a reference\n # cycle.\n self = self_wr()\n if self._alive:\n self._alive = False\n if callback is not None:\n callback(self)\n self = ref.__new__(cls, obj, _cb)\n self._func_ref = ref(func, _cb)\n self._meth_type = type(meth)\n self._alive = True\n self_wr = ref(self)\n return self\n\n def __call__(self):\n obj = super().__call__()\n func = self._func_ref()\n if obj is None or func is None:\n return None\n return self._meth_type(func, obj)\n\n def __eq__(self, other):\n if isinstance(other, WeakMethod):\n if not self._alive or not other._alive:\n return self is other\n return ref.__eq__(self, other) and self._func_ref == other._func_ref\n return NotImplemented\n\n def __ne__(self, other):\n if isinstance(other, WeakMethod):\n if not self._alive or not other._alive:\n return self is not other\n return ref.__ne__(self, other) or self._func_ref != other._func_ref\n return NotImplemented\n\n __hash__ = ref.__hash__\n\n\nclass WeakValueDictionary(_collections_abc.MutableMapping):\n \"\"\"Mapping class that references values weakly.\n\n Entries in the dictionary will be discarded when no strong\n reference to the value exists anymore\n \"\"\"\n # We inherit the constructor without worrying about the input\n # dictionary; since it uses our .update() method, we get the right\n # checks (if the other dictionary is a WeakValueDictionary,\n # objects are unwrapped on the way out, and we always wrap on the\n # way in).\n\n def __init__(self, other=(), /, **kw):\n def remove(wr, selfref=ref(self), _atomic_removal=_remove_dead_weakref):\n self = selfref()\n if self is not None:\n if self._iterating:\n self._pending_removals.append(wr.key)\n else:\n # Atomic removal is necessary since this function\n # can be called asynchronously by the GC\n _atomic_removal(self.data, wr.key)\n self._remove = remove\n # A list of keys to be removed\n self._pending_removals = []\n self._iterating = set()\n self.data = {}\n self.update(other, **kw)\n\n def _commit_removals(self, _atomic_removal=_remove_dead_weakref):\n pop = self._pending_removals.pop\n d = self.data\n # We shouldn't encounter any KeyError, because this method should\n # always be called *before* mutating the dict.\n while True:\n try:\n key = pop()\n except IndexError:\n return\n _atomic_removal(d, key)\n\n def __getitem__(self, key):\n if self._pending_removals:\n self._commit_removals()\n o = self.data[key]()\n if o is None:\n raise KeyError(key)\n else:\n return o\n\n def __delitem__(self, key):\n if self._pending_removals:\n self._commit_removals()\n del self.data[key]\n\n def __len__(self):\n if self._pending_removals:\n self._commit_removals()\n return len(self.data)\n\n def __contains__(self, key):\n if self._pending_removals:\n self._commit_removals()\n try:\n o = self.data[key]()\n except KeyError:\n return False\n return o is not None\n\n def __repr__(self):\n return \"<%s at %#x>\" % (self.__class__.__name__, id(self))\n\n def __setitem__(self, key, value):\n if self._pending_removals:\n self._commit_removals()\n self.data[key] = KeyedRef(value, self._remove, key)\n\n def copy(self):\n if self._pending_removals:\n self._commit_removals()\n new = WeakValueDictionary()\n with _IterationGuard(self):\n for key, wr in self.data.items():\n o = wr()\n if o is not None:\n new[key] = o\n return new\n\n __copy__ = copy\n\n def __deepcopy__(self, memo):\n from copy import deepcopy\n if self._pending_removals:\n self._commit_removals()\n new = self.__class__()\n with _IterationGuard(self):\n for key, wr in self.data.items():\n o = wr()\n if o is not None:\n new[deepcopy(key, memo)] = o\n return new\n\n def get(self, key, default=None):\n if self._pending_removals:\n self._commit_removals()\n try:\n wr = self.data[key]\n except KeyError:\n return default\n else:\n o = wr()\n if o is None:\n # This should only happen\n return default\n else:\n return o\n\n def items(self):\n if self._pending_removals:\n self._commit_removals()\n with _IterationGuard(self):\n for k, wr in self.data.items():\n v = wr()\n if v is not None:\n yield k, v\n\n def keys(self):\n if self._pending_removals:\n self._commit_removals()\n with _IterationGuard(self):\n for k, wr in self.data.items():\n if wr() is not None:\n yield k\n\n __iter__ = keys\n\n def itervaluerefs(self):\n \"\"\"Return an iterator that yields the weak references to the values.\n\n The references are not guaranteed to be 'live' at the time\n they are used, so the result of calling the references needs\n to be checked before being used. This can be used to avoid\n creating references that will cause the garbage collector to\n keep the values around longer than needed.\n\n \"\"\"\n if self._pending_removals:\n self._commit_removals()\n with _IterationGuard(self):\n yield from self.data.values()\n\n def values(self):\n if self._pending_removals:\n self._commit_removals()\n with _IterationGuard(self):\n for wr in self.data.values():\n obj = wr()\n if obj is not None:\n yield obj\n\n def popitem(self):\n if self._pending_removals:\n self._commit_removals()\n while True:\n key, wr = self.data.popitem()\n o = wr()\n if o is not None:\n return key, o\n\n def pop(self, key, *args):\n if self._pending_removals:\n self._commit_removals()\n try:\n o = self.data.pop(key)()\n except KeyError:\n o = None\n if o is None:\n if args:\n return args[0]\n else:\n raise KeyError(key)\n else:\n return o\n\n def setdefault(self, key, default=None):\n try:\n o = self.data[key]()\n except KeyError:\n o = None\n if o is None:\n if self._pending_removals:\n self._commit_removals()\n self.data[key] = KeyedRef(default, self._remove, key)\n return default\n else:\n return o\n\n def update(self, other=None, /, **kwargs):\n if self._pending_removals:\n self._commit_removals()\n d = self.data\n if other is not None:\n if not hasattr(other, \"items\"):\n other = dict(other)\n for key, o in other.items():\n d[key] = KeyedRef(o, self._remove, key)\n for key, o in kwargs.items():\n d[key] = KeyedRef(o, self._remove, key)\n\n def valuerefs(self):\n \"\"\"Return a list of weak references to the values.\n\n The references are not guaranteed to be 'live' at the time\n they are used, so the result of calling the references needs\n to be checked before being used. This can be used to avoid\n creating references that will cause the garbage collector to\n keep the values around longer than needed.\n\n \"\"\"\n if self._pending_removals:\n self._commit_removals()\n return list(self.data.values())\n\n def __ior__(self, other):\n self.update(other)\n return self\n\n def __or__(self, other):\n if isinstance(other, _collections_abc.Mapping):\n c = self.copy()\n c.update(other)\n return c\n return NotImplemented\n\n def __ror__(self, other):\n if isinstance(other, _collections_abc.Mapping):\n c = self.__class__()\n c.update(other)\n c.update(self)\n return c\n return NotImplemented\n\n\nclass KeyedRef(ref):\n \"\"\"Specialized reference that includes a key corresponding to the value.\n\n This is used in the WeakValueDictionary to avoid having to create\n a function object for each key stored in the mapping. A shared\n callback object can use the 'key' attribute of a KeyedRef instead\n of getting a reference to the key from an enclosing scope.\n\n \"\"\"\n\n __slots__ = \"key\",\n\n def __new__(type, ob, callback, key):\n self = ref.__new__(type, ob, callback)\n self.key = key\n return self\n\n def __init__(self, ob, callback, key):\n super().__init__(ob, callback)\n\n\nclass WeakKeyDictionary(_collections_abc.MutableMapping):\n \"\"\" Mapping class that references keys weakly.\n\n Entries in the dictionary will be discarded when there is no\n longer a strong reference to the key. This can be used to\n associate additional data with an object owned by other parts of\n an application without adding attributes to those objects. This\n can be especially useful with objects that override attribute\n accesses.\n \"\"\"\n\n def __init__(self, dict=None):\n self.data = {}\n def remove(k, selfref=ref(self)):\n self = selfref()\n if self is not None:\n if self._iterating:\n self._pending_removals.append(k)\n else:\n try:\n del self.data[k]\n except KeyError:\n pass\n self._remove = remove\n # A list of dead weakrefs (keys to be removed)\n self._pending_removals = []\n self._iterating = set()\n self._dirty_len = False\n if dict is not None:\n self.update(dict)\n\n def _commit_removals(self):\n # NOTE: We don't need to call this method before mutating the dict,\n # because a dead weakref never compares equal to a live weakref,\n # even if they happened to refer to equal objects.\n # However, it means keys may already have been removed.\n pop = self._pending_removals.pop\n d = self.data\n while True:\n try:\n key = pop()\n except IndexError:\n return\n\n try:\n del d[key]\n except KeyError:\n pass\n\n def _scrub_removals(self):\n d = self.data\n self._pending_removals = [k for k in self._pending_removals if k in d]\n self._dirty_len = False\n\n def __delitem__(self, key):\n self._dirty_len = True\n del self.data[ref(key)]\n\n def __getitem__(self, key):\n return self.data[ref(key)]\n\n def __len__(self):\n if self._dirty_len and self._pending_removals:\n # self._pending_removals may still contain keys which were\n # explicitly removed, we have to scrub them (see issue #21173).\n self._scrub_removals()\n return len(self.data) - len(self._pending_removals)\n\n def __repr__(self):\n return \"<%s at %#x>\" % (self.__class__.__name__, id(self))\n\n def __setitem__(self, key, value):\n self.data[ref(key, self._remove)] = value\n\n def copy(self):\n new = WeakKeyDictionary()\n with _IterationGuard(self):\n for key, value in self.data.items():\n o = key()\n if o is not None:\n new[o] = value\n return new\n\n __copy__ = copy\n\n def __deepcopy__(self, memo):\n from copy import deepcopy\n new = self.__class__()\n with _IterationGuard(self):\n for key, value in self.data.items():\n o = key()\n if o is not None:\n new[o] = deepcopy(value, memo)\n return new\n\n def get(self, key, default=None):\n return self.data.get(ref(key),default)\n\n def __contains__(self, key):\n try:\n wr = ref(key)\n except TypeError:\n return False\n return wr in self.data\n\n def items(self):\n with _IterationGuard(self):\n for wr, value in self.data.items():\n key = wr()\n if key is not None:\n yield key, value\n\n def keys(self):\n with _IterationGuard(self):\n for wr in self.data:\n obj = wr()\n if obj is not None:\n yield obj\n\n __iter__ = keys\n\n def values(self):\n with _IterationGuard(self):\n for wr, value in self.data.items():\n if wr() is not None:\n yield value\n\n def keyrefs(self):\n \"\"\"Return a list of weak references to the keys.\n\n The references are not guaranteed to be 'live' at the time\n they are used, so the result of calling the references needs\n to be checked before being used. This can be used to avoid\n creating references that will cause the garbage collector to\n keep the keys around longer than needed.\n\n \"\"\"\n return list(self.data)\n\n def popitem(self):\n self._dirty_len = True\n while True:\n key, value = self.data.popitem()\n o = key()\n if o is not None:\n return o, value\n\n def pop(self, key, *args):\n self._dirty_len = True\n return self.data.pop(ref(key), *args)\n\n def setdefault(self, key, default=None):\n return self.data.setdefault(ref(key, self._remove),default)\n\n def update(self, dict=None, /, **kwargs):\n d = self.data\n if dict is not None:\n if not hasattr(dict, \"items\"):\n dict = type({})(dict)\n for key, value in dict.items():\n d[ref(key, self._remove)] = value\n if len(kwargs):\n self.update(kwargs)\n\n def __ior__(self, other):\n self.update(other)\n return self\n\n def __or__(self, other):\n if isinstance(other, _collections_abc.Mapping):\n c = self.copy()\n c.update(other)\n return c\n return NotImplemented\n\n def __ror__(self, other):\n if isinstance(other, _collections_abc.Mapping):\n c = self.__class__()\n c.update(other)\n c.update(self)\n return c\n return NotImplemented\n\n\nclass finalize:\n \"\"\"Class for finalization of weakrefable objects\n\n finalize(obj, func, *args, **kwargs) returns a callable finalizer\n object which will be called when obj is garbage collected. The\n first time the finalizer is called it evaluates func(*arg, **kwargs)\n and returns the result. After this the finalizer is dead, and\n calling it just returns None.\n\n When the program exits any remaining finalizers for which the\n atexit attribute is true will be run in reverse order of creation.\n By default atexit is true.\n \"\"\"\n\n # Finalizer objects don't have any state of their own. They are\n # just used as keys to lookup _Info objects in the registry. This\n # ensures that they cannot be part of a ref-cycle.\n\n __slots__ = ()\n _registry = {}\n _shutdown = False\n _index_iter = itertools.count()\n _dirty = False\n _registered_with_atexit = False\n\n class _Info:\n __slots__ = (\"weakref\", \"func\", \"args\", \"kwargs\", \"atexit\", \"index\")\n\n def __init__(self, obj, func, /, *args, **kwargs):\n if not self._registered_with_atexit:\n # We may register the exit function more than once because\n # of a thread race, but that is harmless\n import atexit\n atexit.register(self._exitfunc)\n finalize._registered_with_atexit = True\n info = self._Info()\n info.weakref = ref(obj, self)\n info.func = func\n info.args = args\n info.kwargs = kwargs or None\n info.atexit = True\n info.index = next(self._index_iter)\n self._registry[self] = info\n finalize._dirty = True\n\n def __call__(self, _=None):\n \"\"\"If alive then mark as dead and return func(*args, **kwargs);\n otherwise return None\"\"\"\n info = self._registry.pop(self, None)\n if info and not self._shutdown:\n return info.func(*info.args, **(info.kwargs or {}))\n\n def detach(self):\n \"\"\"If alive then mark as dead and return (obj, func, args, kwargs);\n otherwise return None\"\"\"\n info = self._registry.get(self)\n obj = info and info.weakref()\n if obj is not None and self._registry.pop(self, None):\n return (obj, info.func, info.args, info.kwargs or {})\n\n def peek(self):\n \"\"\"If alive then return (obj, func, args, kwargs);\n otherwise return None\"\"\"\n info = self._registry.get(self)\n obj = info and info.weakref()\n if obj is not None:\n return (obj, info.func, info.args, info.kwargs or {})\n\n @property\n def alive(self):\n \"\"\"Whether finalizer is alive\"\"\"\n return self in self._registry\n\n @property\n def atexit(self):\n \"\"\"Whether finalizer should be called at exit\"\"\"\n info = self._registry.get(self)\n return bool(info) and info.atexit\n\n @atexit.setter\n def atexit(self, value):\n info = self._registry.get(self)\n if info:\n info.atexit = bool(value)\n\n def __repr__(self):\n info = self._registry.get(self)\n obj = info and info.weakref()\n if obj is None:\n return '<%s object at %#x; dead>' % (type(self).__name__, id(self))\n else:\n return '<%s object at %#x; for %r at %#x>' % \\\n (type(self).__name__, id(self), type(obj).__name__, id(obj))\n\n @classmethod\n def _select_for_exit(cls):\n # Return live finalizers marked for exit, oldest first\n L = [(f,i) for (f,i) in cls._registry.items() if i.atexit]\n L.sort(key=lambda item:item[1].index)\n return [f for (f,i) in L]\n\n @classmethod\n def _exitfunc(cls):\n # At shutdown invoke finalizers for which atexit is true.\n # This is called once all other non-daemonic threads have been\n # joined.\n reenable_gc = False\n try:\n if cls._registry:\n import gc\n if gc.isenabled():\n reenable_gc = True\n gc.disable()\n pending = None\n while True:\n if pending is None or finalize._dirty:\n pending = cls._select_for_exit()\n finalize._dirty = False\n if not pending:\n break\n f = pending.pop()\n try:\n # gc is disabled, so (assuming no daemonic\n # threads) the following is the only line in\n # this function which might trigger creation\n # of a new finalizer\n f()\n except Exception:\n sys.excepthook(*sys.exc_info())\n assert f not in cls._registry\n finally:\n # prevent any more finalizers from executing during shutdown\n finalize._shutdown = True\n if reenable_gc:\n gc.enable()\n", 674], "/usr/lib/python3.12/_weakrefset.py": ["# Access WeakSet through the weakref module.\n# This code is separated-out because it is needed\n# by abc.py to load everything else at startup.\n\nfrom _weakref import ref\nfrom types import GenericAlias\n\n__all__ = ['WeakSet']\n\n\nclass _IterationGuard:\n # This context manager registers itself in the current iterators of the\n # weak container, such as to delay all removals until the context manager\n # exits.\n # This technique should be relatively thread-safe (since sets are).\n\n def __init__(self, weakcontainer):\n # Don't create cycles\n self.weakcontainer = ref(weakcontainer)\n\n def __enter__(self):\n w = self.weakcontainer()\n if w is not None:\n w._iterating.add(self)\n return self\n\n def __exit__(self, e, t, b):\n w = self.weakcontainer()\n if w is not None:\n s = w._iterating\n s.remove(self)\n if not s:\n w._commit_removals()\n\n\nclass WeakSet:\n def __init__(self, data=None):\n self.data = set()\n def _remove(item, selfref=ref(self)):\n self = selfref()\n if self is not None:\n if self._iterating:\n self._pending_removals.append(item)\n else:\n self.data.discard(item)\n self._remove = _remove\n # A list of keys to be removed\n self._pending_removals = []\n self._iterating = set()\n if data is not None:\n self.update(data)\n\n def _commit_removals(self):\n pop = self._pending_removals.pop\n discard = self.data.discard\n while True:\n try:\n item = pop()\n except IndexError:\n return\n discard(item)\n\n def __iter__(self):\n with _IterationGuard(self):\n for itemref in self.data:\n item = itemref()\n if item is not None:\n # Caveat: the iterator will keep a strong reference to\n # `item` until it is resumed or closed.\n yield item\n\n def __len__(self):\n return len(self.data) - len(self._pending_removals)\n\n def __contains__(self, item):\n try:\n wr = ref(item)\n except TypeError:\n return False\n return wr in self.data\n\n def __reduce__(self):\n return self.__class__, (list(self),), self.__getstate__()\n\n def add(self, item):\n if self._pending_removals:\n self._commit_removals()\n self.data.add(ref(item, self._remove))\n\n def clear(self):\n if self._pending_removals:\n self._commit_removals()\n self.data.clear()\n\n def copy(self):\n return self.__class__(self)\n\n def pop(self):\n if self._pending_removals:\n self._commit_removals()\n while True:\n try:\n itemref = self.data.pop()\n except KeyError:\n raise KeyError('pop from empty WeakSet') from None\n item = itemref()\n if item is not None:\n return item\n\n def remove(self, item):\n if self._pending_removals:\n self._commit_removals()\n self.data.remove(ref(item))\n\n def discard(self, item):\n if self._pending_removals:\n self._commit_removals()\n self.data.discard(ref(item))\n\n def update(self, other):\n if self._pending_removals:\n self._commit_removals()\n for element in other:\n self.add(element)\n\n def __ior__(self, other):\n self.update(other)\n return self\n\n def difference(self, other):\n newset = self.copy()\n newset.difference_update(other)\n return newset\n __sub__ = difference\n\n def difference_update(self, other):\n self.__isub__(other)\n def __isub__(self, other):\n if self._pending_removals:\n self._commit_removals()\n if self is other:\n self.data.clear()\n else:\n self.data.difference_update(ref(item) for item in other)\n return self\n\n def intersection(self, other):\n return self.__class__(item for item in other if item in self)\n __and__ = intersection\n\n def intersection_update(self, other):\n self.__iand__(other)\n def __iand__(self, other):\n if self._pending_removals:\n self._commit_removals()\n self.data.intersection_update(ref(item) for item in other)\n return self\n\n def issubset(self, other):\n return self.data.issubset(ref(item) for item in other)\n __le__ = issubset\n\n def __lt__(self, other):\n return self.data < set(map(ref, other))\n\n def issuperset(self, other):\n return self.data.issuperset(ref(item) for item in other)\n __ge__ = issuperset\n\n def __gt__(self, other):\n return self.data > set(map(ref, other))\n\n def __eq__(self, other):\n if not isinstance(other, self.__class__):\n return NotImplemented\n return self.data == set(map(ref, other))\n\n def symmetric_difference(self, other):\n newset = self.copy()\n newset.symmetric_difference_update(other)\n return newset\n __xor__ = symmetric_difference\n\n def symmetric_difference_update(self, other):\n self.__ixor__(other)\n def __ixor__(self, other):\n if self._pending_removals:\n self._commit_removals()\n if self is other:\n self.data.clear()\n else:\n self.data.symmetric_difference_update(ref(item, self._remove) for item in other)\n return self\n\n def union(self, other):\n return self.__class__(e for s in (self, other) for e in s)\n __or__ = union\n\n def isdisjoint(self, other):\n return len(self.intersection(other)) == 0\n\n def __repr__(self):\n return repr(self.data)\n\n __class_getitem__ = classmethod(GenericAlias)\n", 205], "/usr/lib/python3.12/multiprocessing/popen_fork.py": ["import os\nimport signal\n\nfrom . import util\n\n__all__ = ['Popen']\n\n#\n# Start child process using fork\n#\n\nclass Popen(object):\n method = 'fork'\n\n def __init__(self, process_obj):\n util._flush_std_streams()\n self.returncode = None\n self.finalizer = None\n self._launch(process_obj)\n\n def duplicate_for_child(self, fd):\n return fd\n\n def poll(self, flag=os.WNOHANG):\n if self.returncode is None:\n try:\n pid, sts = os.waitpid(self.pid, flag)\n except OSError:\n # Child process not yet created. See #1731717\n # e.errno == errno.ECHILD == 10\n return None\n if pid == self.pid:\n self.returncode = os.waitstatus_to_exitcode(sts)\n return self.returncode\n\n def wait(self, timeout=None):\n if self.returncode is None:\n if timeout is not None:\n from multiprocessing.connection import wait\n if not wait([self.sentinel], timeout):\n return None\n # This shouldn't block if wait() returned successfully.\n return self.poll(os.WNOHANG if timeout == 0.0 else 0)\n return self.returncode\n\n def _send_signal(self, sig):\n if self.returncode is None:\n try:\n os.kill(self.pid, sig)\n except ProcessLookupError:\n pass\n except OSError:\n if self.wait(timeout=0.1) is None:\n raise\n\n def terminate(self):\n self._send_signal(signal.SIGTERM)\n\n def kill(self):\n self._send_signal(signal.SIGKILL)\n\n def _launch(self, process_obj):\n code = 1\n parent_r, child_w = os.pipe()\n child_r, parent_w = os.pipe()\n self.pid = os.fork()\n if self.pid == 0:\n try:\n os.close(parent_r)\n os.close(parent_w)\n code = process_obj._bootstrap(parent_sentinel=child_r)\n finally:\n os._exit(code)\n else:\n os.close(child_w)\n os.close(child_r)\n self.finalizer = util.Finalize(self, util.close_fds,\n (parent_r, parent_w,))\n self.sentinel = parent_r\n\n def close(self):\n if self.finalizer is not None:\n self.finalizer()\n", 83], "/usr/lib/python3.12/threading.py": ["\"\"\"Thread module emulating a subset of Java's threading model.\"\"\"\n\nimport os as _os\nimport sys as _sys\nimport _thread\nimport functools\n\nfrom time import monotonic as _time\nfrom _weakrefset import WeakSet\nfrom itertools import count as _count\ntry:\n from _collections import deque as _deque\nexcept ImportError:\n from collections import deque as _deque\n\n# Note regarding PEP 8 compliant names\n# This threading model was originally inspired by Java, and inherited\n# the convention of camelCase function and method names from that\n# language. Those original names are not in any imminent danger of\n# being deprecated (even for Py3k),so this module provides them as an\n# alias for the PEP 8 compliant names\n# Note that using the new PEP 8 compliant names facilitates substitution\n# with the multiprocessing module, which doesn't provide the old\n# Java inspired names.\n\n__all__ = ['get_ident', 'active_count', 'Condition', 'current_thread',\n 'enumerate', 'main_thread', 'TIMEOUT_MAX',\n 'Event', 'Lock', 'RLock', 'Semaphore', 'BoundedSemaphore', 'Thread',\n 'Barrier', 'BrokenBarrierError', 'Timer', 'ThreadError',\n 'setprofile', 'settrace', 'local', 'stack_size',\n 'excepthook', 'ExceptHookArgs', 'gettrace', 'getprofile',\n 'setprofile_all_threads','settrace_all_threads']\n\n# Rename some stuff so \"from threading import *\" is safe\n_start_new_thread = _thread.start_new_thread\n_daemon_threads_allowed = _thread.daemon_threads_allowed\n_allocate_lock = _thread.allocate_lock\n_set_sentinel = _thread._set_sentinel\nget_ident = _thread.get_ident\ntry:\n _is_main_interpreter = _thread._is_main_interpreter\nexcept AttributeError:\n # See https://github.com/python/cpython/issues/112826.\n # We can pretend a subinterpreter is the main interpreter for the\n # sake of _shutdown(), since that only means we do not wait for the\n # subinterpreter's threads to finish. Instead, they will be stopped\n # later by the mechanism we use for daemon threads. The likelihood\n # of this case is small because rarely will the _thread module be\n # replaced by a module without _is_main_interpreter().\n # Furthermore, this is all irrelevant in applications\n # that do not use subinterpreters.\n def _is_main_interpreter():\n return True\ntry:\n get_native_id = _thread.get_native_id\n _HAVE_THREAD_NATIVE_ID = True\n __all__.append('get_native_id')\nexcept AttributeError:\n _HAVE_THREAD_NATIVE_ID = False\nThreadError = _thread.error\ntry:\n _CRLock = _thread.RLock\nexcept AttributeError:\n _CRLock = None\nTIMEOUT_MAX = _thread.TIMEOUT_MAX\ndel _thread\n\n\n# Support for profile and trace hooks\n\n_profile_hook = None\n_trace_hook = None\n\ndef setprofile(func):\n \"\"\"Set a profile function for all threads started from the threading module.\n\n The func will be passed to sys.setprofile() for each thread, before its\n run() method is called.\n \"\"\"\n global _profile_hook\n _profile_hook = func\n\ndef setprofile_all_threads(func):\n \"\"\"Set a profile function for all threads started from the threading module\n and all Python threads that are currently executing.\n\n The func will be passed to sys.setprofile() for each thread, before its\n run() method is called.\n \"\"\"\n setprofile(func)\n _sys._setprofileallthreads(func)\n\ndef getprofile():\n \"\"\"Get the profiler function as set by threading.setprofile().\"\"\"\n return _profile_hook\n\ndef settrace(func):\n \"\"\"Set a trace function for all threads started from the threading module.\n\n The func will be passed to sys.settrace() for each thread, before its run()\n method is called.\n \"\"\"\n global _trace_hook\n _trace_hook = func\n\ndef settrace_all_threads(func):\n \"\"\"Set a trace function for all threads started from the threading module\n and all Python threads that are currently executing.\n\n The func will be passed to sys.settrace() for each thread, before its run()\n method is called.\n \"\"\"\n settrace(func)\n _sys._settraceallthreads(func)\n\ndef gettrace():\n \"\"\"Get the trace function as set by threading.settrace().\"\"\"\n return _trace_hook\n\n# Synchronization classes\n\nLock = _allocate_lock\n\ndef RLock(*args, **kwargs):\n \"\"\"Factory function that returns a new reentrant lock.\n\n A reentrant lock must be released by the thread that acquired it. Once a\n thread has acquired a reentrant lock, the same thread may acquire it again\n without blocking; the thread must release it once for each time it has\n acquired it.\n\n \"\"\"\n if _CRLock is None:\n return _PyRLock(*args, **kwargs)\n return _CRLock(*args, **kwargs)\n\nclass _RLock:\n \"\"\"This class implements reentrant lock objects.\n\n A reentrant lock must be released by the thread that acquired it. Once a\n thread has acquired a reentrant lock, the same thread may acquire it\n again without blocking; the thread must release it once for each time it\n has acquired it.\n\n \"\"\"\n\n def __init__(self):\n self._block = _allocate_lock()\n self._owner = None\n self._count = 0\n\n def __repr__(self):\n owner = self._owner\n try:\n owner = _active[owner].name\n except KeyError:\n pass\n return \"<%s %s.%s object owner=%r count=%d at %s>\" % (\n \"locked\" if self._block.locked() else \"unlocked\",\n self.__class__.__module__,\n self.__class__.__qualname__,\n owner,\n self._count,\n hex(id(self))\n )\n\n def _at_fork_reinit(self):\n self._block._at_fork_reinit()\n self._owner = None\n self._count = 0\n\n def acquire(self, blocking=True, timeout=-1):\n \"\"\"Acquire a lock, blocking or non-blocking.\n\n When invoked without arguments: if this thread already owns the lock,\n increment the recursion level by one, and return immediately. Otherwise,\n if another thread owns the lock, block until the lock is unlocked. Once\n the lock is unlocked (not owned by any thread), then grab ownership, set\n the recursion level to one, and return. If more than one thread is\n blocked waiting until the lock is unlocked, only one at a time will be\n able to grab ownership of the lock. There is no return value in this\n case.\n\n When invoked with the blocking argument set to true, do the same thing\n as when called without arguments, and return true.\n\n When invoked with the blocking argument set to false, do not block. If a\n call without an argument would block, return false immediately;\n otherwise, do the same thing as when called without arguments, and\n return true.\n\n When invoked with the floating-point timeout argument set to a positive\n value, block for at most the number of seconds specified by timeout\n and as long as the lock cannot be acquired. Return true if the lock has\n been acquired, false if the timeout has elapsed.\n\n \"\"\"\n me = get_ident()\n if self._owner == me:\n self._count += 1\n return 1\n rc = self._block.acquire(blocking, timeout)\n if rc:\n self._owner = me\n self._count = 1\n return rc\n\n __enter__ = acquire\n\n def release(self):\n \"\"\"Release a lock, decrementing the recursion level.\n\n If after the decrement it is zero, reset the lock to unlocked (not owned\n by any thread), and if any other threads are blocked waiting for the\n lock to become unlocked, allow exactly one of them to proceed. If after\n the decrement the recursion level is still nonzero, the lock remains\n locked and owned by the calling thread.\n\n Only call this method when the calling thread owns the lock. A\n RuntimeError is raised if this method is called when the lock is\n unlocked.\n\n There is no return value.\n\n \"\"\"\n if self._owner != get_ident():\n raise RuntimeError(\"cannot release un-acquired lock\")\n self._count = count = self._count - 1\n if not count:\n self._owner = None\n self._block.release()\n\n def __exit__(self, t, v, tb):\n self.release()\n\n # Internal methods used by condition variables\n\n def _acquire_restore(self, state):\n self._block.acquire()\n self._count, self._owner = state\n\n def _release_save(self):\n if self._count == 0:\n raise RuntimeError(\"cannot release un-acquired lock\")\n count = self._count\n self._count = 0\n owner = self._owner\n self._owner = None\n self._block.release()\n return (count, owner)\n\n def _is_owned(self):\n return self._owner == get_ident()\n\n # Internal method used for reentrancy checks\n\n def _recursion_count(self):\n if self._owner != get_ident():\n return 0\n return self._count\n\n_PyRLock = _RLock\n\n\nclass Condition:\n \"\"\"Class that implements a condition variable.\n\n A condition variable allows one or more threads to wait until they are\n notified by another thread.\n\n If the lock argument is given and not None, it must be a Lock or RLock\n object, and it is used as the underlying lock. Otherwise, a new RLock object\n is created and used as the underlying lock.\n\n \"\"\"\n\n def __init__(self, lock=None):\n if lock is None:\n lock = RLock()\n self._lock = lock\n # Export the lock's acquire() and release() methods\n self.acquire = lock.acquire\n self.release = lock.release\n # If the lock defines _release_save() and/or _acquire_restore(),\n # these override the default implementations (which just call\n # release() and acquire() on the lock). Ditto for _is_owned().\n if hasattr(lock, '_release_save'):\n self._release_save = lock._release_save\n if hasattr(lock, '_acquire_restore'):\n self._acquire_restore = lock._acquire_restore\n if hasattr(lock, '_is_owned'):\n self._is_owned = lock._is_owned\n self._waiters = _deque()\n\n def _at_fork_reinit(self):\n self._lock._at_fork_reinit()\n self._waiters.clear()\n\n def __enter__(self):\n return self._lock.__enter__()\n\n def __exit__(self, *args):\n return self._lock.__exit__(*args)\n\n def __repr__(self):\n return \"\" % (self._lock, len(self._waiters))\n\n def _release_save(self):\n self._lock.release() # No state to save\n\n def _acquire_restore(self, x):\n self._lock.acquire() # Ignore saved state\n\n def _is_owned(self):\n # Return True if lock is owned by current_thread.\n # This method is called only if _lock doesn't have _is_owned().\n if self._lock.acquire(False):\n self._lock.release()\n return False\n else:\n return True\n\n def wait(self, timeout=None):\n \"\"\"Wait until notified or until a timeout occurs.\n\n If the calling thread has not acquired the lock when this method is\n called, a RuntimeError is raised.\n\n This method releases the underlying lock, and then blocks until it is\n awakened by a notify() or notify_all() call for the same condition\n variable in another thread, or until the optional timeout occurs. Once\n awakened or timed out, it re-acquires the lock and returns.\n\n When the timeout argument is present and not None, it should be a\n floating point number specifying a timeout for the operation in seconds\n (or fractions thereof).\n\n When the underlying lock is an RLock, it is not released using its\n release() method, since this may not actually unlock the lock when it\n was acquired multiple times recursively. Instead, an internal interface\n of the RLock class is used, which really unlocks it even when it has\n been recursively acquired several times. Another internal interface is\n then used to restore the recursion level when the lock is reacquired.\n\n \"\"\"\n if not self._is_owned():\n raise RuntimeError(\"cannot wait on un-acquired lock\")\n waiter = _allocate_lock()\n waiter.acquire()\n self._waiters.append(waiter)\n saved_state = self._release_save()\n gotit = False\n try: # restore state no matter what (e.g., KeyboardInterrupt)\n if timeout is None:\n waiter.acquire()\n gotit = True\n else:\n if timeout > 0:\n gotit = waiter.acquire(True, timeout)\n else:\n gotit = waiter.acquire(False)\n return gotit\n finally:\n self._acquire_restore(saved_state)\n if not gotit:\n try:\n self._waiters.remove(waiter)\n except ValueError:\n pass\n\n def wait_for(self, predicate, timeout=None):\n \"\"\"Wait until a condition evaluates to True.\n\n predicate should be a callable which result will be interpreted as a\n boolean value. A timeout may be provided giving the maximum time to\n wait.\n\n \"\"\"\n endtime = None\n waittime = timeout\n result = predicate()\n while not result:\n if waittime is not None:\n if endtime is None:\n endtime = _time() + waittime\n else:\n waittime = endtime - _time()\n if waittime <= 0:\n break\n self.wait(waittime)\n result = predicate()\n return result\n\n def notify(self, n=1):\n \"\"\"Wake up one or more threads waiting on this condition, if any.\n\n If the calling thread has not acquired the lock when this method is\n called, a RuntimeError is raised.\n\n This method wakes up at most n of the threads waiting for the condition\n variable; it is a no-op if no threads are waiting.\n\n \"\"\"\n if not self._is_owned():\n raise RuntimeError(\"cannot notify on un-acquired lock\")\n waiters = self._waiters\n while waiters and n > 0:\n waiter = waiters[0]\n try:\n waiter.release()\n except RuntimeError:\n # gh-92530: The previous call of notify() released the lock,\n # but was interrupted before removing it from the queue.\n # It can happen if a signal handler raises an exception,\n # like CTRL+C which raises KeyboardInterrupt.\n pass\n else:\n n -= 1\n try:\n waiters.remove(waiter)\n except ValueError:\n pass\n\n def notify_all(self):\n \"\"\"Wake up all threads waiting on this condition.\n\n If the calling thread has not acquired the lock when this method\n is called, a RuntimeError is raised.\n\n \"\"\"\n self.notify(len(self._waiters))\n\n def notifyAll(self):\n \"\"\"Wake up all threads waiting on this condition.\n\n This method is deprecated, use notify_all() instead.\n\n \"\"\"\n import warnings\n warnings.warn('notifyAll() is deprecated, use notify_all() instead',\n DeprecationWarning, stacklevel=2)\n self.notify_all()\n\n\nclass Semaphore:\n \"\"\"This class implements semaphore objects.\n\n Semaphores manage a counter representing the number of release() calls minus\n the number of acquire() calls, plus an initial value. The acquire() method\n blocks if necessary until it can return without making the counter\n negative. If not given, value defaults to 1.\n\n \"\"\"\n\n # After Tim Peters' semaphore class, but not quite the same (no maximum)\n\n def __init__(self, value=1):\n if value < 0:\n raise ValueError(\"semaphore initial value must be >= 0\")\n self._cond = Condition(Lock())\n self._value = value\n\n def __repr__(self):\n cls = self.__class__\n return (f\"<{cls.__module__}.{cls.__qualname__} at {id(self):#x}:\"\n f\" value={self._value}>\")\n\n def acquire(self, blocking=True, timeout=None):\n \"\"\"Acquire a semaphore, decrementing the internal counter by one.\n\n When invoked without arguments: if the internal counter is larger than\n zero on entry, decrement it by one and return immediately. If it is zero\n on entry, block, waiting until some other thread has called release() to\n make it larger than zero. This is done with proper interlocking so that\n if multiple acquire() calls are blocked, release() will wake exactly one\n of them up. The implementation may pick one at random, so the order in\n which blocked threads are awakened should not be relied on. There is no\n return value in this case.\n\n When invoked with blocking set to true, do the same thing as when called\n without arguments, and return true.\n\n When invoked with blocking set to false, do not block. If a call without\n an argument would block, return false immediately; otherwise, do the\n same thing as when called without arguments, and return true.\n\n When invoked with a timeout other than None, it will block for at\n most timeout seconds. If acquire does not complete successfully in\n that interval, return false. Return true otherwise.\n\n \"\"\"\n if not blocking and timeout is not None:\n raise ValueError(\"can't specify timeout for non-blocking acquire\")\n rc = False\n endtime = None\n with self._cond:\n while self._value == 0:\n if not blocking:\n break\n if timeout is not None:\n if endtime is None:\n endtime = _time() + timeout\n else:\n timeout = endtime - _time()\n if timeout <= 0:\n break\n self._cond.wait(timeout)\n else:\n self._value -= 1\n rc = True\n return rc\n\n __enter__ = acquire\n\n def release(self, n=1):\n \"\"\"Release a semaphore, incrementing the internal counter by one or more.\n\n When the counter is zero on entry and another thread is waiting for it\n to become larger than zero again, wake up that thread.\n\n \"\"\"\n if n < 1:\n raise ValueError('n must be one or more')\n with self._cond:\n self._value += n\n self._cond.notify(n)\n\n def __exit__(self, t, v, tb):\n self.release()\n\n\nclass BoundedSemaphore(Semaphore):\n \"\"\"Implements a bounded semaphore.\n\n A bounded semaphore checks to make sure its current value doesn't exceed its\n initial value. If it does, ValueError is raised. In most situations\n semaphores are used to guard resources with limited capacity.\n\n If the semaphore is released too many times it's a sign of a bug. If not\n given, value defaults to 1.\n\n Like regular semaphores, bounded semaphores manage a counter representing\n the number of release() calls minus the number of acquire() calls, plus an\n initial value. The acquire() method blocks if necessary until it can return\n without making the counter negative. If not given, value defaults to 1.\n\n \"\"\"\n\n def __init__(self, value=1):\n super().__init__(value)\n self._initial_value = value\n\n def __repr__(self):\n cls = self.__class__\n return (f\"<{cls.__module__}.{cls.__qualname__} at {id(self):#x}:\"\n f\" value={self._value}/{self._initial_value}>\")\n\n def release(self, n=1):\n \"\"\"Release a semaphore, incrementing the internal counter by one or more.\n\n When the counter is zero on entry and another thread is waiting for it\n to become larger than zero again, wake up that thread.\n\n If the number of releases exceeds the number of acquires,\n raise a ValueError.\n\n \"\"\"\n if n < 1:\n raise ValueError('n must be one or more')\n with self._cond:\n if self._value + n > self._initial_value:\n raise ValueError(\"Semaphore released too many times\")\n self._value += n\n self._cond.notify(n)\n\n\nclass Event:\n \"\"\"Class implementing event objects.\n\n Events manage a flag that can be set to true with the set() method and reset\n to false with the clear() method. The wait() method blocks until the flag is\n true. The flag is initially false.\n\n \"\"\"\n\n # After Tim Peters' event class (without is_posted())\n\n def __init__(self):\n self._cond = Condition(Lock())\n self._flag = False\n\n def __repr__(self):\n cls = self.__class__\n status = 'set' if self._flag else 'unset'\n return f\"<{cls.__module__}.{cls.__qualname__} at {id(self):#x}: {status}>\"\n\n def _at_fork_reinit(self):\n # Private method called by Thread._reset_internal_locks()\n self._cond._at_fork_reinit()\n\n def is_set(self):\n \"\"\"Return true if and only if the internal flag is true.\"\"\"\n return self._flag\n\n def isSet(self):\n \"\"\"Return true if and only if the internal flag is true.\n\n This method is deprecated, use is_set() instead.\n\n \"\"\"\n import warnings\n warnings.warn('isSet() is deprecated, use is_set() instead',\n DeprecationWarning, stacklevel=2)\n return self.is_set()\n\n def set(self):\n \"\"\"Set the internal flag to true.\n\n All threads waiting for it to become true are awakened. Threads\n that call wait() once the flag is true will not block at all.\n\n \"\"\"\n with self._cond:\n self._flag = True\n self._cond.notify_all()\n\n def clear(self):\n \"\"\"Reset the internal flag to false.\n\n Subsequently, threads calling wait() will block until set() is called to\n set the internal flag to true again.\n\n \"\"\"\n with self._cond:\n self._flag = False\n\n def wait(self, timeout=None):\n \"\"\"Block until the internal flag is true.\n\n If the internal flag is true on entry, return immediately. Otherwise,\n block until another thread calls set() to set the flag to true, or until\n the optional timeout occurs.\n\n When the timeout argument is present and not None, it should be a\n floating point number specifying a timeout for the operation in seconds\n (or fractions thereof).\n\n This method returns the internal flag on exit, so it will always return\n True except if a timeout is given and the operation times out.\n\n \"\"\"\n with self._cond:\n signaled = self._flag\n if not signaled:\n signaled = self._cond.wait(timeout)\n return signaled\n\n\n# A barrier class. Inspired in part by the pthread_barrier_* api and\n# the CyclicBarrier class from Java. See\n# http://sourceware.org/pthreads-win32/manual/pthread_barrier_init.html and\n# http://java.sun.com/j2se/1.5.0/docs/api/java/util/concurrent/\n# CyclicBarrier.html\n# for information.\n# We maintain two main states, 'filling' and 'draining' enabling the barrier\n# to be cyclic. Threads are not allowed into it until it has fully drained\n# since the previous cycle. In addition, a 'resetting' state exists which is\n# similar to 'draining' except that threads leave with a BrokenBarrierError,\n# and a 'broken' state in which all threads get the exception.\nclass Barrier:\n \"\"\"Implements a Barrier.\n\n Useful for synchronizing a fixed number of threads at known synchronization\n points. Threads block on 'wait()' and are simultaneously awoken once they\n have all made that call.\n\n \"\"\"\n\n def __init__(self, parties, action=None, timeout=None):\n \"\"\"Create a barrier, initialised to 'parties' threads.\n\n 'action' is a callable which, when supplied, will be called by one of\n the threads after they have all entered the barrier and just prior to\n releasing them all. If a 'timeout' is provided, it is used as the\n default for all subsequent 'wait()' calls.\n\n \"\"\"\n self._cond = Condition(Lock())\n self._action = action\n self._timeout = timeout\n self._parties = parties\n self._state = 0 # 0 filling, 1 draining, -1 resetting, -2 broken\n self._count = 0\n\n def __repr__(self):\n cls = self.__class__\n if self.broken:\n return f\"<{cls.__module__}.{cls.__qualname__} at {id(self):#x}: broken>\"\n return (f\"<{cls.__module__}.{cls.__qualname__} at {id(self):#x}:\"\n f\" waiters={self.n_waiting}/{self.parties}>\")\n\n def wait(self, timeout=None):\n \"\"\"Wait for the barrier.\n\n When the specified number of threads have started waiting, they are all\n simultaneously awoken. If an 'action' was provided for the barrier, one\n of the threads will have executed that callback prior to returning.\n Returns an individual index number from 0 to 'parties-1'.\n\n \"\"\"\n if timeout is None:\n timeout = self._timeout\n with self._cond:\n self._enter() # Block while the barrier drains.\n index = self._count\n self._count += 1\n try:\n if index + 1 == self._parties:\n # We release the barrier\n self._release()\n else:\n # We wait until someone releases us\n self._wait(timeout)\n return index\n finally:\n self._count -= 1\n # Wake up any threads waiting for barrier to drain.\n self._exit()\n\n # Block until the barrier is ready for us, or raise an exception\n # if it is broken.\n def _enter(self):\n while self._state in (-1, 1):\n # It is draining or resetting, wait until done\n self._cond.wait()\n #see if the barrier is in a broken state\n if self._state < 0:\n raise BrokenBarrierError\n assert self._state == 0\n\n # Optionally run the 'action' and release the threads waiting\n # in the barrier.\n def _release(self):\n try:\n if self._action:\n self._action()\n # enter draining state\n self._state = 1\n self._cond.notify_all()\n except:\n #an exception during the _action handler. Break and reraise\n self._break()\n raise\n\n # Wait in the barrier until we are released. Raise an exception\n # if the barrier is reset or broken.\n def _wait(self, timeout):\n if not self._cond.wait_for(lambda : self._state != 0, timeout):\n #timed out. Break the barrier\n self._break()\n raise BrokenBarrierError\n if self._state < 0:\n raise BrokenBarrierError\n assert self._state == 1\n\n # If we are the last thread to exit the barrier, signal any threads\n # waiting for the barrier to drain.\n def _exit(self):\n if self._count == 0:\n if self._state in (-1, 1):\n #resetting or draining\n self._state = 0\n self._cond.notify_all()\n\n def reset(self):\n \"\"\"Reset the barrier to the initial state.\n\n Any threads currently waiting will get the BrokenBarrier exception\n raised.\n\n \"\"\"\n with self._cond:\n if self._count > 0:\n if self._state == 0:\n #reset the barrier, waking up threads\n self._state = -1\n elif self._state == -2:\n #was broken, set it to reset state\n #which clears when the last thread exits\n self._state = -1\n else:\n self._state = 0\n self._cond.notify_all()\n\n def abort(self):\n \"\"\"Place the barrier into a 'broken' state.\n\n Useful in case of error. Any currently waiting threads and threads\n attempting to 'wait()' will have BrokenBarrierError raised.\n\n \"\"\"\n with self._cond:\n self._break()\n\n def _break(self):\n # An internal error was detected. The barrier is set to\n # a broken state all parties awakened.\n self._state = -2\n self._cond.notify_all()\n\n @property\n def parties(self):\n \"\"\"Return the number of threads required to trip the barrier.\"\"\"\n return self._parties\n\n @property\n def n_waiting(self):\n \"\"\"Return the number of threads currently waiting at the barrier.\"\"\"\n # We don't need synchronization here since this is an ephemeral result\n # anyway. It returns the correct value in the steady state.\n if self._state == 0:\n return self._count\n return 0\n\n @property\n def broken(self):\n \"\"\"Return True if the barrier is in a broken state.\"\"\"\n return self._state == -2\n\n# exception raised by the Barrier class\nclass BrokenBarrierError(RuntimeError):\n pass\n\n\n# Helper to generate new thread names\n_counter = _count(1).__next__\ndef _newname(name_template):\n return name_template % _counter()\n\n# Active thread administration.\n#\n# bpo-44422: Use a reentrant lock to allow reentrant calls to functions like\n# threading.enumerate().\n_active_limbo_lock = RLock()\n_active = {} # maps thread id to Thread object\n_limbo = {}\n_dangling = WeakSet()\n\n# Set of Thread._tstate_lock locks of non-daemon threads used by _shutdown()\n# to wait until all Python thread states get deleted:\n# see Thread._set_tstate_lock().\n_shutdown_locks_lock = _allocate_lock()\n_shutdown_locks = set()\n\ndef _maintain_shutdown_locks():\n \"\"\"\n Drop any shutdown locks that don't correspond to running threads anymore.\n\n Calling this from time to time avoids an ever-growing _shutdown_locks\n set when Thread objects are not joined explicitly. See bpo-37788.\n\n This must be called with _shutdown_locks_lock acquired.\n \"\"\"\n # If a lock was released, the corresponding thread has exited\n to_remove = [lock for lock in _shutdown_locks if not lock.locked()]\n _shutdown_locks.difference_update(to_remove)\n\n\n# Main class for threads\n\nclass Thread:\n \"\"\"A class that represents a thread of control.\n\n This class can be safely subclassed in a limited fashion. There are two ways\n to specify the activity: by passing a callable object to the constructor, or\n by overriding the run() method in a subclass.\n\n \"\"\"\n\n _initialized = False\n\n def __init__(self, group=None, target=None, name=None,\n args=(), kwargs=None, *, daemon=None):\n \"\"\"This constructor should always be called with keyword arguments. Arguments are:\n\n *group* should be None; reserved for future extension when a ThreadGroup\n class is implemented.\n\n *target* is the callable object to be invoked by the run()\n method. Defaults to None, meaning nothing is called.\n\n *name* is the thread name. By default, a unique name is constructed of\n the form \"Thread-N\" where N is a small decimal number.\n\n *args* is a list or tuple of arguments for the target invocation. Defaults to ().\n\n *kwargs* is a dictionary of keyword arguments for the target\n invocation. Defaults to {}.\n\n If a subclass overrides the constructor, it must make sure to invoke\n the base class constructor (Thread.__init__()) before doing anything\n else to the thread.\n\n \"\"\"\n assert group is None, \"group argument must be None for now\"\n if kwargs is None:\n kwargs = {}\n if name:\n name = str(name)\n else:\n name = _newname(\"Thread-%d\")\n if target is not None:\n try:\n target_name = target.__name__\n name += f\" ({target_name})\"\n except AttributeError:\n pass\n\n self._target = target\n self._name = name\n self._args = args\n self._kwargs = kwargs\n if daemon is not None:\n if daemon and not _daemon_threads_allowed():\n raise RuntimeError('daemon threads are disabled in this (sub)interpreter')\n self._daemonic = daemon\n else:\n self._daemonic = current_thread().daemon\n self._ident = None\n if _HAVE_THREAD_NATIVE_ID:\n self._native_id = None\n self._tstate_lock = None\n self._started = Event()\n self._is_stopped = False\n self._initialized = True\n # Copy of sys.stderr used by self._invoke_excepthook()\n self._stderr = _sys.stderr\n self._invoke_excepthook = _make_invoke_excepthook()\n # For debugging and _after_fork()\n _dangling.add(self)\n\n def _reset_internal_locks(self, is_alive):\n # private! Called by _after_fork() to reset our internal locks as\n # they may be in an invalid state leading to a deadlock or crash.\n self._started._at_fork_reinit()\n if is_alive:\n # bpo-42350: If the fork happens when the thread is already stopped\n # (ex: after threading._shutdown() has been called), _tstate_lock\n # is None. Do nothing in this case.\n if self._tstate_lock is not None:\n self._tstate_lock._at_fork_reinit()\n self._tstate_lock.acquire()\n else:\n # The thread isn't alive after fork: it doesn't have a tstate\n # anymore.\n self._is_stopped = True\n self._tstate_lock = None\n\n def __repr__(self):\n assert self._initialized, \"Thread.__init__() was not called\"\n status = \"initial\"\n if self._started.is_set():\n status = \"started\"\n self.is_alive() # easy way to get ._is_stopped set when appropriate\n if self._is_stopped:\n status = \"stopped\"\n if self._daemonic:\n status += \" daemon\"\n if self._ident is not None:\n status += \" %s\" % self._ident\n return \"<%s(%s, %s)>\" % (self.__class__.__name__, self._name, status)\n\n def start(self):\n \"\"\"Start the thread's activity.\n\n It must be called at most once per thread object. It arranges for the\n object's run() method to be invoked in a separate thread of control.\n\n This method will raise a RuntimeError if called more than once on the\n same thread object.\n\n \"\"\"\n if not self._initialized:\n raise RuntimeError(\"thread.__init__() not called\")\n\n if self._started.is_set():\n raise RuntimeError(\"threads can only be started once\")\n\n with _active_limbo_lock:\n _limbo[self] = self\n try:\n _start_new_thread(self._bootstrap, ())\n except Exception:\n with _active_limbo_lock:\n del _limbo[self]\n raise\n self._started.wait()\n\n def run(self):\n \"\"\"Method representing the thread's activity.\n\n You may override this method in a subclass. The standard run() method\n invokes the callable object passed to the object's constructor as the\n target argument, if any, with sequential and keyword arguments taken\n from the args and kwargs arguments, respectively.\n\n \"\"\"\n try:\n if self._target is not None:\n self._target(*self._args, **self._kwargs)\n finally:\n # Avoid a refcycle if the thread is running a function with\n # an argument that has a member that points to the thread.\n del self._target, self._args, self._kwargs\n\n def _bootstrap(self):\n # Wrapper around the real bootstrap code that ignores\n # exceptions during interpreter cleanup. Those typically\n # happen when a daemon thread wakes up at an unfortunate\n # moment, finds the world around it destroyed, and raises some\n # random exception *** while trying to report the exception in\n # _bootstrap_inner() below ***. Those random exceptions\n # don't help anybody, and they confuse users, so we suppress\n # them. We suppress them only when it appears that the world\n # indeed has already been destroyed, so that exceptions in\n # _bootstrap_inner() during normal business hours are properly\n # reported. Also, we only suppress them for daemonic threads;\n # if a non-daemonic encounters this, something else is wrong.\n try:\n self._bootstrap_inner()\n except:\n if self._daemonic and _sys is None:\n return\n raise\n\n def _set_ident(self):\n self._ident = get_ident()\n\n if _HAVE_THREAD_NATIVE_ID:\n def _set_native_id(self):\n self._native_id = get_native_id()\n\n def _set_tstate_lock(self):\n \"\"\"\n Set a lock object which will be released by the interpreter when\n the underlying thread state (see pystate.h) gets deleted.\n \"\"\"\n self._tstate_lock = _set_sentinel()\n self._tstate_lock.acquire()\n\n if not self.daemon:\n with _shutdown_locks_lock:\n _maintain_shutdown_locks()\n _shutdown_locks.add(self._tstate_lock)\n\n def _bootstrap_inner(self):\n try:\n self._set_ident()\n self._set_tstate_lock()\n if _HAVE_THREAD_NATIVE_ID:\n self._set_native_id()\n self._started.set()\n with _active_limbo_lock:\n _active[self._ident] = self\n del _limbo[self]\n\n if _trace_hook:\n _sys.settrace(_trace_hook)\n if _profile_hook:\n _sys.setprofile(_profile_hook)\n\n try:\n self.run()\n except:\n self._invoke_excepthook(self)\n finally:\n self._delete()\n\n def _stop(self):\n # After calling ._stop(), .is_alive() returns False and .join() returns\n # immediately. ._tstate_lock must be released before calling ._stop().\n #\n # Normal case: C code at the end of the thread's life\n # (release_sentinel in _threadmodule.c) releases ._tstate_lock, and\n # that's detected by our ._wait_for_tstate_lock(), called by .join()\n # and .is_alive(). Any number of threads _may_ call ._stop()\n # simultaneously (for example, if multiple threads are blocked in\n # .join() calls), and they're not serialized. That's harmless -\n # they'll just make redundant rebindings of ._is_stopped and\n # ._tstate_lock. Obscure: we rebind ._tstate_lock last so that the\n # \"assert self._is_stopped\" in ._wait_for_tstate_lock() always works\n # (the assert is executed only if ._tstate_lock is None).\n #\n # Special case: _main_thread releases ._tstate_lock via this\n # module's _shutdown() function.\n lock = self._tstate_lock\n if lock is not None:\n assert not lock.locked()\n self._is_stopped = True\n self._tstate_lock = None\n if not self.daemon:\n with _shutdown_locks_lock:\n # Remove our lock and other released locks from _shutdown_locks\n _maintain_shutdown_locks()\n\n def _delete(self):\n \"Remove current thread from the dict of currently running threads.\"\n with _active_limbo_lock:\n del _active[get_ident()]\n # There must not be any python code between the previous line\n # and after the lock is released. Otherwise a tracing function\n # could try to acquire the lock again in the same thread, (in\n # current_thread()), and would block.\n\n def join(self, timeout=None):\n \"\"\"Wait until the thread terminates.\n\n This blocks the calling thread until the thread whose join() method is\n called terminates -- either normally or through an unhandled exception\n or until the optional timeout occurs.\n\n When the timeout argument is present and not None, it should be a\n floating point number specifying a timeout for the operation in seconds\n (or fractions thereof). As join() always returns None, you must call\n is_alive() after join() to decide whether a timeout happened -- if the\n thread is still alive, the join() call timed out.\n\n When the timeout argument is not present or None, the operation will\n block until the thread terminates.\n\n A thread can be join()ed many times.\n\n join() raises a RuntimeError if an attempt is made to join the current\n thread as that would cause a deadlock. It is also an error to join() a\n thread before it has been started and attempts to do so raises the same\n exception.\n\n \"\"\"\n if not self._initialized:\n raise RuntimeError(\"Thread.__init__() not called\")\n if not self._started.is_set():\n raise RuntimeError(\"cannot join thread before it is started\")\n if self is current_thread():\n raise RuntimeError(\"cannot join current thread\")\n\n if timeout is None:\n self._wait_for_tstate_lock()\n else:\n # the behavior of a negative timeout isn't documented, but\n # historically .join(timeout=x) for x<0 has acted as if timeout=0\n self._wait_for_tstate_lock(timeout=max(timeout, 0))\n\n def _wait_for_tstate_lock(self, block=True, timeout=-1):\n # Issue #18808: wait for the thread state to be gone.\n # At the end of the thread's life, after all knowledge of the thread\n # is removed from C data structures, C code releases our _tstate_lock.\n # This method passes its arguments to _tstate_lock.acquire().\n # If the lock is acquired, the C code is done, and self._stop() is\n # called. That sets ._is_stopped to True, and ._tstate_lock to None.\n lock = self._tstate_lock\n if lock is None:\n # already determined that the C code is done\n assert self._is_stopped\n return\n\n try:\n if lock.acquire(block, timeout):\n lock.release()\n self._stop()\n except:\n if lock.locked():\n # bpo-45274: lock.acquire() acquired the lock, but the function\n # was interrupted with an exception before reaching the\n # lock.release(). It can happen if a signal handler raises an\n # exception, like CTRL+C which raises KeyboardInterrupt.\n lock.release()\n self._stop()\n raise\n\n @property\n def name(self):\n \"\"\"A string used for identification purposes only.\n\n It has no semantics. Multiple threads may be given the same name. The\n initial name is set by the constructor.\n\n \"\"\"\n assert self._initialized, \"Thread.__init__() not called\"\n return self._name\n\n @name.setter\n def name(self, name):\n assert self._initialized, \"Thread.__init__() not called\"\n self._name = str(name)\n\n @property\n def ident(self):\n \"\"\"Thread identifier of this thread or None if it has not been started.\n\n This is a nonzero integer. See the get_ident() function. Thread\n identifiers may be recycled when a thread exits and another thread is\n created. The identifier is available even after the thread has exited.\n\n \"\"\"\n assert self._initialized, \"Thread.__init__() not called\"\n return self._ident\n\n if _HAVE_THREAD_NATIVE_ID:\n @property\n def native_id(self):\n \"\"\"Native integral thread ID of this thread, or None if it has not been started.\n\n This is a non-negative integer. See the get_native_id() function.\n This represents the Thread ID as reported by the kernel.\n\n \"\"\"\n assert self._initialized, \"Thread.__init__() not called\"\n return self._native_id\n\n def is_alive(self):\n \"\"\"Return whether the thread is alive.\n\n This method returns True just before the run() method starts until just\n after the run() method terminates. See also the module function\n enumerate().\n\n \"\"\"\n assert self._initialized, \"Thread.__init__() not called\"\n if self._is_stopped or not self._started.is_set():\n return False\n self._wait_for_tstate_lock(False)\n return not self._is_stopped\n\n @property\n def daemon(self):\n \"\"\"A boolean value indicating whether this thread is a daemon thread.\n\n This must be set before start() is called, otherwise RuntimeError is\n raised. Its initial value is inherited from the creating thread; the\n main thread is not a daemon thread and therefore all threads created in\n the main thread default to daemon = False.\n\n The entire Python program exits when only daemon threads are left.\n\n \"\"\"\n assert self._initialized, \"Thread.__init__() not called\"\n return self._daemonic\n\n @daemon.setter\n def daemon(self, daemonic):\n if not self._initialized:\n raise RuntimeError(\"Thread.__init__() not called\")\n if daemonic and not _daemon_threads_allowed():\n raise RuntimeError('daemon threads are disabled in this interpreter')\n if self._started.is_set():\n raise RuntimeError(\"cannot set daemon status of active thread\")\n self._daemonic = daemonic\n\n def isDaemon(self):\n \"\"\"Return whether this thread is a daemon.\n\n This method is deprecated, use the daemon attribute instead.\n\n \"\"\"\n import warnings\n warnings.warn('isDaemon() is deprecated, get the daemon attribute instead',\n DeprecationWarning, stacklevel=2)\n return self.daemon\n\n def setDaemon(self, daemonic):\n \"\"\"Set whether this thread is a daemon.\n\n This method is deprecated, use the .daemon property instead.\n\n \"\"\"\n import warnings\n warnings.warn('setDaemon() is deprecated, set the daemon attribute instead',\n DeprecationWarning, stacklevel=2)\n self.daemon = daemonic\n\n def getName(self):\n \"\"\"Return a string used for identification purposes only.\n\n This method is deprecated, use the name attribute instead.\n\n \"\"\"\n import warnings\n warnings.warn('getName() is deprecated, get the name attribute instead',\n DeprecationWarning, stacklevel=2)\n return self.name\n\n def setName(self, name):\n \"\"\"Set the name string for this thread.\n\n This method is deprecated, use the name attribute instead.\n\n \"\"\"\n import warnings\n warnings.warn('setName() is deprecated, set the name attribute instead',\n DeprecationWarning, stacklevel=2)\n self.name = name\n\n\ntry:\n from _thread import (_excepthook as excepthook,\n _ExceptHookArgs as ExceptHookArgs)\nexcept ImportError:\n # Simple Python implementation if _thread._excepthook() is not available\n from traceback import print_exception as _print_exception\n from collections import namedtuple\n\n _ExceptHookArgs = namedtuple(\n 'ExceptHookArgs',\n 'exc_type exc_value exc_traceback thread')\n\n def ExceptHookArgs(args):\n return _ExceptHookArgs(*args)\n\n def excepthook(args, /):\n \"\"\"\n Handle uncaught Thread.run() exception.\n \"\"\"\n if args.exc_type == SystemExit:\n # silently ignore SystemExit\n return\n\n if _sys is not None and _sys.stderr is not None:\n stderr = _sys.stderr\n elif args.thread is not None:\n stderr = args.thread._stderr\n if stderr is None:\n # do nothing if sys.stderr is None and sys.stderr was None\n # when the thread was created\n return\n else:\n # do nothing if sys.stderr is None and args.thread is None\n return\n\n if args.thread is not None:\n name = args.thread.name\n else:\n name = get_ident()\n print(f\"Exception in thread {name}:\",\n file=stderr, flush=True)\n _print_exception(args.exc_type, args.exc_value, args.exc_traceback,\n file=stderr)\n stderr.flush()\n\n\n# Original value of threading.excepthook\n__excepthook__ = excepthook\n\n\ndef _make_invoke_excepthook():\n # Create a local namespace to ensure that variables remain alive\n # when _invoke_excepthook() is called, even if it is called late during\n # Python shutdown. It is mostly needed for daemon threads.\n\n old_excepthook = excepthook\n old_sys_excepthook = _sys.excepthook\n if old_excepthook is None:\n raise RuntimeError(\"threading.excepthook is None\")\n if old_sys_excepthook is None:\n raise RuntimeError(\"sys.excepthook is None\")\n\n sys_exc_info = _sys.exc_info\n local_print = print\n local_sys = _sys\n\n def invoke_excepthook(thread):\n global excepthook\n try:\n hook = excepthook\n if hook is None:\n hook = old_excepthook\n\n args = ExceptHookArgs([*sys_exc_info(), thread])\n\n hook(args)\n except Exception as exc:\n exc.__suppress_context__ = True\n del exc\n\n if local_sys is not None and local_sys.stderr is not None:\n stderr = local_sys.stderr\n else:\n stderr = thread._stderr\n\n local_print(\"Exception in threading.excepthook:\",\n file=stderr, flush=True)\n\n if local_sys is not None and local_sys.excepthook is not None:\n sys_excepthook = local_sys.excepthook\n else:\n sys_excepthook = old_sys_excepthook\n\n sys_excepthook(*sys_exc_info())\n finally:\n # Break reference cycle (exception stored in a variable)\n args = None\n\n return invoke_excepthook\n\n\n# The timer class was contributed by Itamar Shtull-Trauring\n\nclass Timer(Thread):\n \"\"\"Call a function after a specified number of seconds:\n\n t = Timer(30.0, f, args=None, kwargs=None)\n t.start()\n t.cancel() # stop the timer's action if it's still waiting\n\n \"\"\"\n\n def __init__(self, interval, function, args=None, kwargs=None):\n Thread.__init__(self)\n self.interval = interval\n self.function = function\n self.args = args if args is not None else []\n self.kwargs = kwargs if kwargs is not None else {}\n self.finished = Event()\n\n def cancel(self):\n \"\"\"Stop the timer if it hasn't finished yet.\"\"\"\n self.finished.set()\n\n def run(self):\n self.finished.wait(self.interval)\n if not self.finished.is_set():\n self.function(*self.args, **self.kwargs)\n self.finished.set()\n\n\n# Special thread class to represent the main thread\n\nclass _MainThread(Thread):\n\n def __init__(self):\n Thread.__init__(self, name=\"MainThread\", daemon=False)\n self._set_tstate_lock()\n self._started.set()\n self._set_ident()\n if _HAVE_THREAD_NATIVE_ID:\n self._set_native_id()\n with _active_limbo_lock:\n _active[self._ident] = self\n\n\n# Dummy thread class to represent threads not started here.\n# These aren't garbage collected when they die, nor can they be waited for.\n# If they invoke anything in threading.py that calls current_thread(), they\n# leave an entry in the _active dict forever after.\n# Their purpose is to return *something* from current_thread().\n# They are marked as daemon threads so we won't wait for them\n# when we exit (conform previous semantics).\n\nclass _DummyThread(Thread):\n\n def __init__(self):\n Thread.__init__(self, name=_newname(\"Dummy-%d\"),\n daemon=_daemon_threads_allowed())\n self._started.set()\n self._set_ident()\n if _HAVE_THREAD_NATIVE_ID:\n self._set_native_id()\n with _active_limbo_lock:\n _active[self._ident] = self\n\n def _stop(self):\n pass\n\n def is_alive(self):\n assert not self._is_stopped and self._started.is_set()\n return True\n\n def join(self, timeout=None):\n assert False, \"cannot join a dummy thread\"\n\n\n# Global API functions\n\ndef current_thread():\n \"\"\"Return the current Thread object, corresponding to the caller's thread of control.\n\n If the caller's thread of control was not created through the threading\n module, a dummy thread object with limited functionality is returned.\n\n \"\"\"\n try:\n return _active[get_ident()]\n except KeyError:\n return _DummyThread()\n\ndef currentThread():\n \"\"\"Return the current Thread object, corresponding to the caller's thread of control.\n\n This function is deprecated, use current_thread() instead.\n\n \"\"\"\n import warnings\n warnings.warn('currentThread() is deprecated, use current_thread() instead',\n DeprecationWarning, stacklevel=2)\n return current_thread()\n\ndef active_count():\n \"\"\"Return the number of Thread objects currently alive.\n\n The returned count is equal to the length of the list returned by\n enumerate().\n\n \"\"\"\n # NOTE: if the logic in here ever changes, update Modules/posixmodule.c\n # warn_about_fork_with_threads() to match.\n with _active_limbo_lock:\n return len(_active) + len(_limbo)\n\ndef activeCount():\n \"\"\"Return the number of Thread objects currently alive.\n\n This function is deprecated, use active_count() instead.\n\n \"\"\"\n import warnings\n warnings.warn('activeCount() is deprecated, use active_count() instead',\n DeprecationWarning, stacklevel=2)\n return active_count()\n\ndef _enumerate():\n # Same as enumerate(), but without the lock. Internal use only.\n return list(_active.values()) + list(_limbo.values())\n\ndef enumerate():\n \"\"\"Return a list of all Thread objects currently alive.\n\n The list includes daemonic threads, dummy thread objects created by\n current_thread(), and the main thread. It excludes terminated threads and\n threads that have not yet been started.\n\n \"\"\"\n with _active_limbo_lock:\n return list(_active.values()) + list(_limbo.values())\n\n\n_threading_atexits = []\n_SHUTTING_DOWN = False\n\ndef _register_atexit(func, *arg, **kwargs):\n \"\"\"CPython internal: register *func* to be called before joining threads.\n\n The registered *func* is called with its arguments just before all\n non-daemon threads are joined in `_shutdown()`. It provides a similar\n purpose to `atexit.register()`, but its functions are called prior to\n threading shutdown instead of interpreter shutdown.\n\n For similarity to atexit, the registered functions are called in reverse.\n \"\"\"\n if _SHUTTING_DOWN:\n raise RuntimeError(\"can't register atexit after shutdown\")\n\n call = functools.partial(func, *arg, **kwargs)\n _threading_atexits.append(call)\n\n\nfrom _thread import stack_size\n\n# Create the main thread object,\n# and make it available for the interpreter\n# (Py_Main) as threading._shutdown.\n\n_main_thread = _MainThread()\n\ndef _shutdown():\n \"\"\"\n Wait until the Python thread state of all non-daemon threads get deleted.\n \"\"\"\n # Obscure: other threads may be waiting to join _main_thread. That's\n # dubious, but some code does it. We can't wait for C code to release\n # the main thread's tstate_lock - that won't happen until the interpreter\n # is nearly dead. So we release it here. Note that just calling _stop()\n # isn't enough: other threads may already be waiting on _tstate_lock.\n if _main_thread._is_stopped and _is_main_interpreter():\n # _shutdown() was already called\n return\n\n global _SHUTTING_DOWN\n _SHUTTING_DOWN = True\n\n # Call registered threading atexit functions before threads are joined.\n # Order is reversed, similar to atexit.\n for atexit_call in reversed(_threading_atexits):\n atexit_call()\n\n # Main thread\n if _main_thread.ident == get_ident():\n tlock = _main_thread._tstate_lock\n # The main thread isn't finished yet, so its thread state lock can't\n # have been released.\n assert tlock is not None\n assert tlock.locked()\n tlock.release()\n _main_thread._stop()\n else:\n # bpo-1596321: _shutdown() must be called in the main thread.\n # If the threading module was not imported by the main thread,\n # _main_thread is the thread which imported the threading module.\n # In this case, ignore _main_thread, similar behavior than for threads\n # spawned by C libraries or using _thread.start_new_thread().\n pass\n\n # Join all non-deamon threads\n while True:\n with _shutdown_locks_lock:\n locks = list(_shutdown_locks)\n _shutdown_locks.clear()\n\n if not locks:\n break\n\n for lock in locks:\n # mimic Thread.join()\n lock.acquire()\n lock.release()\n\n # new threads can be spawned while we were waiting for the other\n # threads to complete\n\n\ndef main_thread():\n \"\"\"Return the main thread object.\n\n In normal conditions, the main thread is the thread from which the\n Python interpreter was started.\n \"\"\"\n # XXX Figure this out for subinterpreters. (See gh-75698.)\n return _main_thread\n\n# get thread-local implementation, either from the thread\n# module, or from the python fallback\n\ntry:\n from _thread import _local as local\nexcept ImportError:\n from _threading_local import local\n\n\ndef _after_fork():\n \"\"\"\n Cleanup threading module state that should not exist after a fork.\n \"\"\"\n # Reset _active_limbo_lock, in case we forked while the lock was held\n # by another (non-forked) thread. http://bugs.python.org/issue874900\n global _active_limbo_lock, _main_thread\n global _shutdown_locks_lock, _shutdown_locks\n _active_limbo_lock = RLock()\n\n # fork() only copied the current thread; clear references to others.\n new_active = {}\n\n try:\n current = _active[get_ident()]\n except KeyError:\n # fork() was called in a thread which was not spawned\n # by threading.Thread. For example, a thread spawned\n # by thread.start_new_thread().\n current = _MainThread()\n\n _main_thread = current\n\n # reset _shutdown() locks: threads re-register their _tstate_lock below\n _shutdown_locks_lock = _allocate_lock()\n _shutdown_locks = set()\n\n with _active_limbo_lock:\n # Dangling thread instances must still have their locks reset,\n # because someone may join() them.\n threads = set(_enumerate())\n threads.update(_dangling)\n for thread in threads:\n # Any lock/condition variable may be currently locked or in an\n # invalid state, so we reinitialize them.\n if thread is current:\n # There is only one active thread. We reset the ident to\n # its new value since it can have changed.\n thread._reset_internal_locks(True)\n ident = get_ident()\n if isinstance(thread, _DummyThread):\n thread.__class__ = _MainThread\n thread._name = 'MainThread'\n thread._daemonic = False\n thread._set_tstate_lock()\n thread._ident = ident\n new_active[ident] = thread\n else:\n # All the others are already stopped.\n thread._reset_internal_locks(False)\n thread._stop()\n\n _limbo.clear()\n _active.clear()\n _active.update(new_active)\n assert len(_active) == 1\n\n\nif hasattr(_os, \"register_at_fork\"):\n _os.register_at_fork(after_in_child=_after_fork)\n", 1706], "/usr/lib/python3.12/selectors.py": ["\"\"\"Selectors module.\n\nThis module allows high-level and efficient I/O multiplexing, built upon the\n`select` module primitives.\n\"\"\"\n\n\nfrom abc import ABCMeta, abstractmethod\nfrom collections import namedtuple\nfrom collections.abc import Mapping\nimport math\nimport select\nimport sys\n\n\n# generic events, that must be mapped to implementation-specific ones\nEVENT_READ = (1 << 0)\nEVENT_WRITE = (1 << 1)\n\n\ndef _fileobj_to_fd(fileobj):\n \"\"\"Return a file descriptor from a file object.\n\n Parameters:\n fileobj -- file object or file descriptor\n\n Returns:\n corresponding file descriptor\n\n Raises:\n ValueError if the object is invalid\n \"\"\"\n if isinstance(fileobj, int):\n fd = fileobj\n else:\n try:\n fd = int(fileobj.fileno())\n except (AttributeError, TypeError, ValueError):\n raise ValueError(\"Invalid file object: \"\n \"{!r}\".format(fileobj)) from None\n if fd < 0:\n raise ValueError(\"Invalid file descriptor: {}\".format(fd))\n return fd\n\n\nSelectorKey = namedtuple('SelectorKey', ['fileobj', 'fd', 'events', 'data'])\n\nSelectorKey.__doc__ = \"\"\"SelectorKey(fileobj, fd, events, data)\n\n Object used to associate a file object to its backing\n file descriptor, selected event mask, and attached data.\n\"\"\"\nSelectorKey.fileobj.__doc__ = 'File object registered.'\nSelectorKey.fd.__doc__ = 'Underlying file descriptor.'\nSelectorKey.events.__doc__ = 'Events that must be waited for on this file object.'\nSelectorKey.data.__doc__ = ('''Optional opaque data associated to this file object.\nFor example, this could be used to store a per-client session ID.''')\n\n\nclass _SelectorMapping(Mapping):\n \"\"\"Mapping of file objects to selector keys.\"\"\"\n\n def __init__(self, selector):\n self._selector = selector\n\n def __len__(self):\n return len(self._selector._fd_to_key)\n\n def __getitem__(self, fileobj):\n try:\n fd = self._selector._fileobj_lookup(fileobj)\n return self._selector._fd_to_key[fd]\n except KeyError:\n raise KeyError(\"{!r} is not registered\".format(fileobj)) from None\n\n def __iter__(self):\n return iter(self._selector._fd_to_key)\n\n\nclass BaseSelector(metaclass=ABCMeta):\n \"\"\"Selector abstract base class.\n\n A selector supports registering file objects to be monitored for specific\n I/O events.\n\n A file object is a file descriptor or any object with a `fileno()` method.\n An arbitrary object can be attached to the file object, which can be used\n for example to store context information, a callback, etc.\n\n A selector can use various implementations (select(), poll(), epoll()...)\n depending on the platform. The default `Selector` class uses the most\n efficient implementation on the current platform.\n \"\"\"\n\n @abstractmethod\n def register(self, fileobj, events, data=None):\n \"\"\"Register a file object.\n\n Parameters:\n fileobj -- file object or file descriptor\n events -- events to monitor (bitwise mask of EVENT_READ|EVENT_WRITE)\n data -- attached data\n\n Returns:\n SelectorKey instance\n\n Raises:\n ValueError if events is invalid\n KeyError if fileobj is already registered\n OSError if fileobj is closed or otherwise is unacceptable to\n the underlying system call (if a system call is made)\n\n Note:\n OSError may or may not be raised\n \"\"\"\n raise NotImplementedError\n\n @abstractmethod\n def unregister(self, fileobj):\n \"\"\"Unregister a file object.\n\n Parameters:\n fileobj -- file object or file descriptor\n\n Returns:\n SelectorKey instance\n\n Raises:\n KeyError if fileobj is not registered\n\n Note:\n If fileobj is registered but has since been closed this does\n *not* raise OSError (even if the wrapped syscall does)\n \"\"\"\n raise NotImplementedError\n\n def modify(self, fileobj, events, data=None):\n \"\"\"Change a registered file object monitored events or attached data.\n\n Parameters:\n fileobj -- file object or file descriptor\n events -- events to monitor (bitwise mask of EVENT_READ|EVENT_WRITE)\n data -- attached data\n\n Returns:\n SelectorKey instance\n\n Raises:\n Anything that unregister() or register() raises\n \"\"\"\n self.unregister(fileobj)\n return self.register(fileobj, events, data)\n\n @abstractmethod\n def select(self, timeout=None):\n \"\"\"Perform the actual selection, until some monitored file objects are\n ready or a timeout expires.\n\n Parameters:\n timeout -- if timeout > 0, this specifies the maximum wait time, in\n seconds\n if timeout <= 0, the select() call won't block, and will\n report the currently ready file objects\n if timeout is None, select() will block until a monitored\n file object becomes ready\n\n Returns:\n list of (key, events) for ready file objects\n `events` is a bitwise mask of EVENT_READ|EVENT_WRITE\n \"\"\"\n raise NotImplementedError\n\n def close(self):\n \"\"\"Close the selector.\n\n This must be called to make sure that any underlying resource is freed.\n \"\"\"\n pass\n\n def get_key(self, fileobj):\n \"\"\"Return the key associated to a registered file object.\n\n Returns:\n SelectorKey for this file object\n \"\"\"\n mapping = self.get_map()\n if mapping is None:\n raise RuntimeError('Selector is closed')\n try:\n return mapping[fileobj]\n except KeyError:\n raise KeyError(\"{!r} is not registered\".format(fileobj)) from None\n\n @abstractmethod\n def get_map(self):\n \"\"\"Return a mapping of file objects to selector keys.\"\"\"\n raise NotImplementedError\n\n def __enter__(self):\n return self\n\n def __exit__(self, *args):\n self.close()\n\n\nclass _BaseSelectorImpl(BaseSelector):\n \"\"\"Base selector implementation.\"\"\"\n\n def __init__(self):\n # this maps file descriptors to keys\n self._fd_to_key = {}\n # read-only mapping returned by get_map()\n self._map = _SelectorMapping(self)\n\n def _fileobj_lookup(self, fileobj):\n \"\"\"Return a file descriptor from a file object.\n\n This wraps _fileobj_to_fd() to do an exhaustive search in case\n the object is invalid but we still have it in our map. This\n is used by unregister() so we can unregister an object that\n was previously registered even if it is closed. It is also\n used by _SelectorMapping.\n \"\"\"\n try:\n return _fileobj_to_fd(fileobj)\n except ValueError:\n # Do an exhaustive search.\n for key in self._fd_to_key.values():\n if key.fileobj is fileobj:\n return key.fd\n # Raise ValueError after all.\n raise\n\n def register(self, fileobj, events, data=None):\n if (not events) or (events & ~(EVENT_READ | EVENT_WRITE)):\n raise ValueError(\"Invalid events: {!r}\".format(events))\n\n key = SelectorKey(fileobj, self._fileobj_lookup(fileobj), events, data)\n\n if key.fd in self._fd_to_key:\n raise KeyError(\"{!r} (FD {}) is already registered\"\n .format(fileobj, key.fd))\n\n self._fd_to_key[key.fd] = key\n return key\n\n def unregister(self, fileobj):\n try:\n key = self._fd_to_key.pop(self._fileobj_lookup(fileobj))\n except KeyError:\n raise KeyError(\"{!r} is not registered\".format(fileobj)) from None\n return key\n\n def modify(self, fileobj, events, data=None):\n try:\n key = self._fd_to_key[self._fileobj_lookup(fileobj)]\n except KeyError:\n raise KeyError(\"{!r} is not registered\".format(fileobj)) from None\n if events != key.events:\n self.unregister(fileobj)\n key = self.register(fileobj, events, data)\n elif data != key.data:\n # Use a shortcut to update the data.\n key = key._replace(data=data)\n self._fd_to_key[key.fd] = key\n return key\n\n def close(self):\n self._fd_to_key.clear()\n self._map = None\n\n def get_map(self):\n return self._map\n\n def _key_from_fd(self, fd):\n \"\"\"Return the key associated to a given file descriptor.\n\n Parameters:\n fd -- file descriptor\n\n Returns:\n corresponding key, or None if not found\n \"\"\"\n try:\n return self._fd_to_key[fd]\n except KeyError:\n return None\n\n\nclass SelectSelector(_BaseSelectorImpl):\n \"\"\"Select-based selector.\"\"\"\n\n def __init__(self):\n super().__init__()\n self._readers = set()\n self._writers = set()\n\n def register(self, fileobj, events, data=None):\n key = super().register(fileobj, events, data)\n if events & EVENT_READ:\n self._readers.add(key.fd)\n if events & EVENT_WRITE:\n self._writers.add(key.fd)\n return key\n\n def unregister(self, fileobj):\n key = super().unregister(fileobj)\n self._readers.discard(key.fd)\n self._writers.discard(key.fd)\n return key\n\n if sys.platform == 'win32':\n def _select(self, r, w, _, timeout=None):\n r, w, x = select.select(r, w, w, timeout)\n return r, w + x, []\n else:\n _select = select.select\n\n def select(self, timeout=None):\n timeout = None if timeout is None else max(timeout, 0)\n ready = []\n try:\n r, w, _ = self._select(self._readers, self._writers, [], timeout)\n except InterruptedError:\n return ready\n r = set(r)\n w = set(w)\n for fd in r | w:\n events = 0\n if fd in r:\n events |= EVENT_READ\n if fd in w:\n events |= EVENT_WRITE\n\n key = self._key_from_fd(fd)\n if key:\n ready.append((key, events & key.events))\n return ready\n\n\nclass _PollLikeSelector(_BaseSelectorImpl):\n \"\"\"Base class shared between poll, epoll and devpoll selectors.\"\"\"\n _selector_cls = None\n _EVENT_READ = None\n _EVENT_WRITE = None\n\n def __init__(self):\n super().__init__()\n self._selector = self._selector_cls()\n\n def register(self, fileobj, events, data=None):\n key = super().register(fileobj, events, data)\n poller_events = 0\n if events & EVENT_READ:\n poller_events |= self._EVENT_READ\n if events & EVENT_WRITE:\n poller_events |= self._EVENT_WRITE\n try:\n self._selector.register(key.fd, poller_events)\n except:\n super().unregister(fileobj)\n raise\n return key\n\n def unregister(self, fileobj):\n key = super().unregister(fileobj)\n try:\n self._selector.unregister(key.fd)\n except OSError:\n # This can happen if the FD was closed since it\n # was registered.\n pass\n return key\n\n def modify(self, fileobj, events, data=None):\n try:\n key = self._fd_to_key[self._fileobj_lookup(fileobj)]\n except KeyError:\n raise KeyError(f\"{fileobj!r} is not registered\") from None\n\n changed = False\n if events != key.events:\n selector_events = 0\n if events & EVENT_READ:\n selector_events |= self._EVENT_READ\n if events & EVENT_WRITE:\n selector_events |= self._EVENT_WRITE\n try:\n self._selector.modify(key.fd, selector_events)\n except:\n super().unregister(fileobj)\n raise\n changed = True\n if data != key.data:\n changed = True\n\n if changed:\n key = key._replace(events=events, data=data)\n self._fd_to_key[key.fd] = key\n return key\n\n def select(self, timeout=None):\n # This is shared between poll() and epoll().\n # epoll() has a different signature and handling of timeout parameter.\n if timeout is None:\n timeout = None\n elif timeout <= 0:\n timeout = 0\n else:\n # poll() has a resolution of 1 millisecond, round away from\n # zero to wait *at least* timeout seconds.\n timeout = math.ceil(timeout * 1e3)\n ready = []\n try:\n fd_event_list = self._selector.poll(timeout)\n except InterruptedError:\n return ready\n for fd, event in fd_event_list:\n events = 0\n if event & ~self._EVENT_READ:\n events |= EVENT_WRITE\n if event & ~self._EVENT_WRITE:\n events |= EVENT_READ\n\n key = self._key_from_fd(fd)\n if key:\n ready.append((key, events & key.events))\n return ready\n\n\nif hasattr(select, 'poll'):\n\n class PollSelector(_PollLikeSelector):\n \"\"\"Poll-based selector.\"\"\"\n _selector_cls = select.poll\n _EVENT_READ = select.POLLIN\n _EVENT_WRITE = select.POLLOUT\n\n\nif hasattr(select, 'epoll'):\n\n class EpollSelector(_PollLikeSelector):\n \"\"\"Epoll-based selector.\"\"\"\n _selector_cls = select.epoll\n _EVENT_READ = select.EPOLLIN\n _EVENT_WRITE = select.EPOLLOUT\n\n def fileno(self):\n return self._selector.fileno()\n\n def select(self, timeout=None):\n if timeout is None:\n timeout = -1\n elif timeout <= 0:\n timeout = 0\n else:\n # epoll_wait() has a resolution of 1 millisecond, round away\n # from zero to wait *at least* timeout seconds.\n timeout = math.ceil(timeout * 1e3) * 1e-3\n\n # epoll_wait() expects `maxevents` to be greater than zero;\n # we want to make sure that `select()` can be called when no\n # FD is registered.\n max_ev = max(len(self._fd_to_key), 1)\n\n ready = []\n try:\n fd_event_list = self._selector.poll(timeout, max_ev)\n except InterruptedError:\n return ready\n for fd, event in fd_event_list:\n events = 0\n if event & ~select.EPOLLIN:\n events |= EVENT_WRITE\n if event & ~select.EPOLLOUT:\n events |= EVENT_READ\n\n key = self._key_from_fd(fd)\n if key:\n ready.append((key, events & key.events))\n return ready\n\n def close(self):\n self._selector.close()\n super().close()\n\n\nif hasattr(select, 'devpoll'):\n\n class DevpollSelector(_PollLikeSelector):\n \"\"\"Solaris /dev/poll selector.\"\"\"\n _selector_cls = select.devpoll\n _EVENT_READ = select.POLLIN\n _EVENT_WRITE = select.POLLOUT\n\n def fileno(self):\n return self._selector.fileno()\n\n def close(self):\n self._selector.close()\n super().close()\n\n\nif hasattr(select, 'kqueue'):\n\n class KqueueSelector(_BaseSelectorImpl):\n \"\"\"Kqueue-based selector.\"\"\"\n\n def __init__(self):\n super().__init__()\n self._selector = select.kqueue()\n self._max_events = 0\n\n def fileno(self):\n return self._selector.fileno()\n\n def register(self, fileobj, events, data=None):\n key = super().register(fileobj, events, data)\n try:\n if events & EVENT_READ:\n kev = select.kevent(key.fd, select.KQ_FILTER_READ,\n select.KQ_EV_ADD)\n self._selector.control([kev], 0, 0)\n self._max_events += 1\n if events & EVENT_WRITE:\n kev = select.kevent(key.fd, select.KQ_FILTER_WRITE,\n select.KQ_EV_ADD)\n self._selector.control([kev], 0, 0)\n self._max_events += 1\n except:\n super().unregister(fileobj)\n raise\n return key\n\n def unregister(self, fileobj):\n key = super().unregister(fileobj)\n if key.events & EVENT_READ:\n kev = select.kevent(key.fd, select.KQ_FILTER_READ,\n select.KQ_EV_DELETE)\n self._max_events -= 1\n try:\n self._selector.control([kev], 0, 0)\n except OSError:\n # This can happen if the FD was closed since it\n # was registered.\n pass\n if key.events & EVENT_WRITE:\n kev = select.kevent(key.fd, select.KQ_FILTER_WRITE,\n select.KQ_EV_DELETE)\n self._max_events -= 1\n try:\n self._selector.control([kev], 0, 0)\n except OSError:\n # See comment above.\n pass\n return key\n\n def select(self, timeout=None):\n timeout = None if timeout is None else max(timeout, 0)\n # If max_ev is 0, kqueue will ignore the timeout. For consistent\n # behavior with the other selector classes, we prevent that here\n # (using max). See https://bugs.python.org/issue29255\n max_ev = self._max_events or 1\n ready = []\n try:\n kev_list = self._selector.control(None, max_ev, timeout)\n except InterruptedError:\n return ready\n for kev in kev_list:\n fd = kev.ident\n flag = kev.filter\n events = 0\n if flag == select.KQ_FILTER_READ:\n events |= EVENT_READ\n if flag == select.KQ_FILTER_WRITE:\n events |= EVENT_WRITE\n\n key = self._key_from_fd(fd)\n if key:\n ready.append((key, events & key.events))\n return ready\n\n def close(self):\n self._selector.close()\n super().close()\n\n\ndef _can_use(method):\n \"\"\"Check if we can use the selector depending upon the\n operating system. \"\"\"\n # Implementation based upon https://github.com/sethmlarson/selectors2/blob/master/selectors2.py\n selector = getattr(select, method, None)\n if selector is None:\n # select module does not implement method\n return False\n # check if the OS and Kernel actually support the method. Call may fail with\n # OSError: [Errno 38] Function not implemented\n try:\n selector_obj = selector()\n if method == 'poll':\n # check that poll actually works\n selector_obj.poll(0)\n else:\n # close epoll, kqueue, and devpoll fd\n selector_obj.close()\n return True\n except OSError:\n return False\n\n\n# Choose the best implementation, roughly:\n# epoll|kqueue|devpoll > poll > select.\n# select() also can't accept a FD > FD_SETSIZE (usually around 1024)\nif _can_use('kqueue'):\n DefaultSelector = KqueueSelector\nelif _can_use('epoll'):\n DefaultSelector = EpollSelector\nelif _can_use('devpoll'):\n DefaultSelector = DevpollSelector\nelif _can_use('poll'):\n DefaultSelector = PollSelector\nelse:\n DefaultSelector = SelectSelector\n", 623]}, "functions": {"SemLock.__init__.._after_fork (/usr/lib/python3.12/multiprocessing/synchronize.py:71)": ["/usr/lib/python3.12/multiprocessing/synchronize.py", 71], "info (/usr/lib/python3.12/multiprocessing/util.py:52)": ["/usr/lib/python3.12/multiprocessing/util.py", 52], "Connection._close (/usr/lib/python3.12/multiprocessing/connection.py:376)": ["/usr/lib/python3.12/multiprocessing/connection.py", 376], "_ConnectionBase.close (/usr/lib/python3.12/multiprocessing/connection.py:174)": ["/usr/lib/python3.12/multiprocessing/connection.py", 174], "SemLock.__enter__ (/usr/lib/python3.12/multiprocessing/synchronize.py:94)": ["/usr/lib/python3.12/multiprocessing/synchronize.py", 94], "_ConnectionBase._check_closed (/usr/lib/python3.12/multiprocessing/connection.py:135)": ["/usr/lib/python3.12/multiprocessing/connection.py", 135], "_ConnectionBase._check_readable (/usr/lib/python3.12/multiprocessing/connection.py:139)": ["/usr/lib/python3.12/multiprocessing/connection.py", 139], "Connection._recv (/usr/lib/python3.12/multiprocessing/connection.py:390)": ["/usr/lib/python3.12/multiprocessing/connection.py", 390], "Connection._recv_bytes (/usr/lib/python3.12/multiprocessing/connection.py:429)": ["/usr/lib/python3.12/multiprocessing/connection.py", 429], "_ConnectionBase.recv_bytes (/usr/lib/python3.12/multiprocessing/connection.py:208)": ["/usr/lib/python3.12/multiprocessing/connection.py", 208], "SemLock.__exit__ (/usr/lib/python3.12/multiprocessing/synchronize.py:97)": ["/usr/lib/python3.12/multiprocessing/synchronize.py", 97], "SimpleQueue.get (/usr/lib/python3.12/multiprocessing/queues.py:385)": ["/usr/lib/python3.12/multiprocessing/queues.py", 385], "f (/home/gaogaotiantian/programs/viztracer/example/src/multi_process_pool.py:5)": ["/home/gaogaotiantian/programs/viztracer/example/src/multi_process_pool.py", 5], "ForkingPickler.__init__ (/usr/lib/python3.12/multiprocessing/reduction.py:38)": ["/usr/lib/python3.12/multiprocessing/reduction.py", 38], "ForkingPickler.dumps (/usr/lib/python3.12/multiprocessing/reduction.py:48)": ["/usr/lib/python3.12/multiprocessing/reduction.py", 48], "_ConnectionBase._check_writable (/usr/lib/python3.12/multiprocessing/connection.py:143)": ["/usr/lib/python3.12/multiprocessing/connection.py", 143], "Connection._send (/usr/lib/python3.12/multiprocessing/connection.py:381)": ["/usr/lib/python3.12/multiprocessing/connection.py", 381], "Connection._send_bytes (/usr/lib/python3.12/multiprocessing/connection.py:406)": ["/usr/lib/python3.12/multiprocessing/connection.py", 406], "_ConnectionBase.send_bytes (/usr/lib/python3.12/multiprocessing/connection.py:182)": ["/usr/lib/python3.12/multiprocessing/connection.py", 182], "SimpleQueue.put (/usr/lib/python3.12/multiprocessing/queues.py:391)": ["/usr/lib/python3.12/multiprocessing/queues.py", 391], "debug (/usr/lib/python3.12/multiprocessing/util.py:48)": ["/usr/lib/python3.12/multiprocessing/util.py", 48], "worker (/usr/lib/python3.12/multiprocessing/pool.py:97)": ["/usr/lib/python3.12/multiprocessing/pool.py", 97], "BaseProcess.run (/usr/lib/python3.12/multiprocessing/process.py:103)": ["/usr/lib/python3.12/multiprocessing/process.py", 103], "_run_finalizers.. 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Those original names are not in any imminent danger of\n# being deprecated (even for Py3k),so this module provides them as an\n# alias for the PEP 8 compliant names\n# Note that using the new PEP 8 compliant names facilitates substitution\n# with the multiprocessing module, which doesn't provide the old\n# Java inspired names.\n\n__all__ = ['get_ident', 'active_count', 'Condition', 'current_thread',\n 'enumerate', 'main_thread', 'TIMEOUT_MAX',\n 'Event', 'Lock', 'RLock', 'Semaphore', 'BoundedSemaphore', 'Thread',\n 'Barrier', 'BrokenBarrierError', 'Timer', 'ThreadError',\n 'setprofile', 'settrace', 'local', 'stack_size',\n 'excepthook', 'ExceptHookArgs', 'gettrace', 'getprofile',\n 'setprofile_all_threads','settrace_all_threads']\n\n# Rename some stuff so \"from threading import *\" is safe\n_start_new_thread = _thread.start_new_thread\n_daemon_threads_allowed = _thread.daemon_threads_allowed\n_allocate_lock = _thread.allocate_lock\n_set_sentinel = _thread._set_sentinel\nget_ident = _thread.get_ident\ntry:\n _is_main_interpreter = _thread._is_main_interpreter\nexcept AttributeError:\n # See https://github.com/python/cpython/issues/112826.\n # We can pretend a subinterpreter is the main interpreter for the\n # sake of _shutdown(), since that only means we do not wait for the\n # subinterpreter's threads to finish. Instead, they will be stopped\n # later by the mechanism we use for daemon threads. The likelihood\n # of this case is small because rarely will the _thread module be\n # replaced by a module without _is_main_interpreter().\n # Furthermore, this is all irrelevant in applications\n # that do not use subinterpreters.\n def _is_main_interpreter():\n return True\ntry:\n get_native_id = _thread.get_native_id\n _HAVE_THREAD_NATIVE_ID = True\n __all__.append('get_native_id')\nexcept AttributeError:\n _HAVE_THREAD_NATIVE_ID = False\nThreadError = _thread.error\ntry:\n _CRLock = _thread.RLock\nexcept AttributeError:\n _CRLock = None\nTIMEOUT_MAX = _thread.TIMEOUT_MAX\ndel _thread\n\n\n# Support for profile and trace hooks\n\n_profile_hook = None\n_trace_hook = None\n\ndef setprofile(func):\n \"\"\"Set a profile function for all threads started from the threading module.\n\n The func will be passed to sys.setprofile() for each thread, before its\n run() method is called.\n \"\"\"\n global _profile_hook\n _profile_hook = func\n\ndef setprofile_all_threads(func):\n \"\"\"Set a profile function for all threads started from the threading module\n and all Python threads that are currently executing.\n\n The func will be passed to sys.setprofile() for each thread, before its\n run() method is called.\n \"\"\"\n setprofile(func)\n _sys._setprofileallthreads(func)\n\ndef getprofile():\n \"\"\"Get the profiler function as set by threading.setprofile().\"\"\"\n return _profile_hook\n\ndef settrace(func):\n \"\"\"Set a trace function for all threads started from the threading module.\n\n The func will be passed to sys.settrace() for each thread, before its run()\n method is called.\n \"\"\"\n global _trace_hook\n _trace_hook = func\n\ndef settrace_all_threads(func):\n \"\"\"Set a trace function for all threads started from the threading module\n and all Python threads that are currently executing.\n\n The func will be passed to sys.settrace() for each thread, before its run()\n method is called.\n \"\"\"\n settrace(func)\n _sys._settraceallthreads(func)\n\ndef gettrace():\n \"\"\"Get the trace function as set by threading.settrace().\"\"\"\n return _trace_hook\n\n# Synchronization classes\n\nLock = _allocate_lock\n\ndef RLock(*args, **kwargs):\n \"\"\"Factory function that returns a new reentrant lock.\n\n A reentrant lock must be released by the thread that acquired it. Once a\n thread has acquired a reentrant lock, the same thread may acquire it again\n without blocking; the thread must release it once for each time it has\n acquired it.\n\n \"\"\"\n if _CRLock is None:\n return _PyRLock(*args, **kwargs)\n return _CRLock(*args, **kwargs)\n\nclass _RLock:\n \"\"\"This class implements reentrant lock objects.\n\n A reentrant lock must be released by the thread that acquired it. Once a\n thread has acquired a reentrant lock, the same thread may acquire it\n again without blocking; the thread must release it once for each time it\n has acquired it.\n\n \"\"\"\n\n def __init__(self):\n self._block = _allocate_lock()\n self._owner = None\n self._count = 0\n\n def __repr__(self):\n owner = self._owner\n try:\n owner = _active[owner].name\n except KeyError:\n pass\n return \"<%s %s.%s object owner=%r count=%d at %s>\" % (\n \"locked\" if self._block.locked() else \"unlocked\",\n self.__class__.__module__,\n self.__class__.__qualname__,\n owner,\n self._count,\n hex(id(self))\n )\n\n def _at_fork_reinit(self):\n self._block._at_fork_reinit()\n self._owner = None\n self._count = 0\n\n def acquire(self, blocking=True, timeout=-1):\n \"\"\"Acquire a lock, blocking or non-blocking.\n\n When invoked without arguments: if this thread already owns the lock,\n increment the recursion level by one, and return immediately. Otherwise,\n if another thread owns the lock, block until the lock is unlocked. Once\n the lock is unlocked (not owned by any thread), then grab ownership, set\n the recursion level to one, and return. If more than one thread is\n blocked waiting until the lock is unlocked, only one at a time will be\n able to grab ownership of the lock. There is no return value in this\n case.\n\n When invoked with the blocking argument set to true, do the same thing\n as when called without arguments, and return true.\n\n When invoked with the blocking argument set to false, do not block. If a\n call without an argument would block, return false immediately;\n otherwise, do the same thing as when called without arguments, and\n return true.\n\n When invoked with the floating-point timeout argument set to a positive\n value, block for at most the number of seconds specified by timeout\n and as long as the lock cannot be acquired. Return true if the lock has\n been acquired, false if the timeout has elapsed.\n\n \"\"\"\n me = get_ident()\n if self._owner == me:\n self._count += 1\n return 1\n rc = self._block.acquire(blocking, timeout)\n if rc:\n self._owner = me\n self._count = 1\n return rc\n\n __enter__ = acquire\n\n def release(self):\n \"\"\"Release a lock, decrementing the recursion level.\n\n If after the decrement it is zero, reset the lock to unlocked (not owned\n by any thread), and if any other threads are blocked waiting for the\n lock to become unlocked, allow exactly one of them to proceed. If after\n the decrement the recursion level is still nonzero, the lock remains\n locked and owned by the calling thread.\n\n Only call this method when the calling thread owns the lock. A\n RuntimeError is raised if this method is called when the lock is\n unlocked.\n\n There is no return value.\n\n \"\"\"\n if self._owner != get_ident():\n raise RuntimeError(\"cannot release un-acquired lock\")\n self._count = count = self._count - 1\n if not count:\n self._owner = None\n self._block.release()\n\n def __exit__(self, t, v, tb):\n self.release()\n\n # Internal methods used by condition variables\n\n def _acquire_restore(self, state):\n self._block.acquire()\n self._count, self._owner = state\n\n def _release_save(self):\n if self._count == 0:\n raise RuntimeError(\"cannot release un-acquired lock\")\n count = self._count\n self._count = 0\n owner = self._owner\n self._owner = None\n self._block.release()\n return (count, owner)\n\n def _is_owned(self):\n return self._owner == get_ident()\n\n # Internal method used for reentrancy checks\n\n def _recursion_count(self):\n if self._owner != get_ident():\n return 0\n return self._count\n\n_PyRLock = _RLock\n\n\nclass Condition:\n \"\"\"Class that implements a condition variable.\n\n A condition variable allows one or more threads to wait until they are\n notified by another thread.\n\n If the lock argument is given and not None, it must be a Lock or RLock\n object, and it is used as the underlying lock. Otherwise, a new RLock object\n is created and used as the underlying lock.\n\n \"\"\"\n\n def __init__(self, lock=None):\n if lock is None:\n lock = RLock()\n self._lock = lock\n # Export the lock's acquire() and release() methods\n self.acquire = lock.acquire\n self.release = lock.release\n # If the lock defines _release_save() and/or _acquire_restore(),\n # these override the default implementations (which just call\n # release() and acquire() on the lock). Ditto for _is_owned().\n if hasattr(lock, '_release_save'):\n self._release_save = lock._release_save\n if hasattr(lock, '_acquire_restore'):\n self._acquire_restore = lock._acquire_restore\n if hasattr(lock, '_is_owned'):\n self._is_owned = lock._is_owned\n self._waiters = _deque()\n\n def _at_fork_reinit(self):\n self._lock._at_fork_reinit()\n self._waiters.clear()\n\n def __enter__(self):\n return self._lock.__enter__()\n\n def __exit__(self, *args):\n return self._lock.__exit__(*args)\n\n def __repr__(self):\n return \"\" % (self._lock, len(self._waiters))\n\n def _release_save(self):\n self._lock.release() # No state to save\n\n def _acquire_restore(self, x):\n self._lock.acquire() # Ignore saved state\n\n def _is_owned(self):\n # Return True if lock is owned by current_thread.\n # This method is called only if _lock doesn't have _is_owned().\n if self._lock.acquire(False):\n self._lock.release()\n return False\n else:\n return True\n\n def wait(self, timeout=None):\n \"\"\"Wait until notified or until a timeout occurs.\n\n If the calling thread has not acquired the lock when this method is\n called, a RuntimeError is raised.\n\n This method releases the underlying lock, and then blocks until it is\n awakened by a notify() or notify_all() call for the same condition\n variable in another thread, or until the optional timeout occurs. Once\n awakened or timed out, it re-acquires the lock and returns.\n\n When the timeout argument is present and not None, it should be a\n floating point number specifying a timeout for the operation in seconds\n (or fractions thereof).\n\n When the underlying lock is an RLock, it is not released using its\n release() method, since this may not actually unlock the lock when it\n was acquired multiple times recursively. Instead, an internal interface\n of the RLock class is used, which really unlocks it even when it has\n been recursively acquired several times. Another internal interface is\n then used to restore the recursion level when the lock is reacquired.\n\n \"\"\"\n if not self._is_owned():\n raise RuntimeError(\"cannot wait on un-acquired lock\")\n waiter = _allocate_lock()\n waiter.acquire()\n self._waiters.append(waiter)\n saved_state = self._release_save()\n gotit = False\n try: # restore state no matter what (e.g., KeyboardInterrupt)\n if timeout is None:\n waiter.acquire()\n gotit = True\n else:\n if timeout > 0:\n gotit = waiter.acquire(True, timeout)\n else:\n gotit = waiter.acquire(False)\n return gotit\n finally:\n self._acquire_restore(saved_state)\n if not gotit:\n try:\n self._waiters.remove(waiter)\n except ValueError:\n pass\n\n def wait_for(self, predicate, timeout=None):\n \"\"\"Wait until a condition evaluates to True.\n\n predicate should be a callable which result will be interpreted as a\n boolean value. A timeout may be provided giving the maximum time to\n wait.\n\n \"\"\"\n endtime = None\n waittime = timeout\n result = predicate()\n while not result:\n if waittime is not None:\n if endtime is None:\n endtime = _time() + waittime\n else:\n waittime = endtime - _time()\n if waittime <= 0:\n break\n self.wait(waittime)\n result = predicate()\n return result\n\n def notify(self, n=1):\n \"\"\"Wake up one or more threads waiting on this condition, if any.\n\n If the calling thread has not acquired the lock when this method is\n called, a RuntimeError is raised.\n\n This method wakes up at most n of the threads waiting for the condition\n variable; it is a no-op if no threads are waiting.\n\n \"\"\"\n if not self._is_owned():\n raise RuntimeError(\"cannot notify on un-acquired lock\")\n waiters = self._waiters\n while waiters and n > 0:\n waiter = waiters[0]\n try:\n waiter.release()\n except RuntimeError:\n # gh-92530: The previous call of notify() released the lock,\n # but was interrupted before removing it from the queue.\n # It can happen if a signal handler raises an exception,\n # like CTRL+C which raises KeyboardInterrupt.\n pass\n else:\n n -= 1\n try:\n waiters.remove(waiter)\n except ValueError:\n pass\n\n def notify_all(self):\n \"\"\"Wake up all threads waiting on this condition.\n\n If the calling thread has not acquired the lock when this method\n is called, a RuntimeError is raised.\n\n \"\"\"\n self.notify(len(self._waiters))\n\n def notifyAll(self):\n \"\"\"Wake up all threads waiting on this condition.\n\n This method is deprecated, use notify_all() instead.\n\n \"\"\"\n import warnings\n warnings.warn('notifyAll() is deprecated, use notify_all() instead',\n DeprecationWarning, stacklevel=2)\n self.notify_all()\n\n\nclass Semaphore:\n \"\"\"This class implements semaphore objects.\n\n Semaphores manage a counter representing the number of release() calls minus\n the number of acquire() calls, plus an initial value. The acquire() method\n blocks if necessary until it can return without making the counter\n negative. If not given, value defaults to 1.\n\n \"\"\"\n\n # After Tim Peters' semaphore class, but not quite the same (no maximum)\n\n def __init__(self, value=1):\n if value < 0:\n raise ValueError(\"semaphore initial value must be >= 0\")\n self._cond = Condition(Lock())\n self._value = value\n\n def __repr__(self):\n cls = self.__class__\n return (f\"<{cls.__module__}.{cls.__qualname__} at {id(self):#x}:\"\n f\" value={self._value}>\")\n\n def acquire(self, blocking=True, timeout=None):\n \"\"\"Acquire a semaphore, decrementing the internal counter by one.\n\n When invoked without arguments: if the internal counter is larger than\n zero on entry, decrement it by one and return immediately. If it is zero\n on entry, block, waiting until some other thread has called release() to\n make it larger than zero. This is done with proper interlocking so that\n if multiple acquire() calls are blocked, release() will wake exactly one\n of them up. The implementation may pick one at random, so the order in\n which blocked threads are awakened should not be relied on. There is no\n return value in this case.\n\n When invoked with blocking set to true, do the same thing as when called\n without arguments, and return true.\n\n When invoked with blocking set to false, do not block. If a call without\n an argument would block, return false immediately; otherwise, do the\n same thing as when called without arguments, and return true.\n\n When invoked with a timeout other than None, it will block for at\n most timeout seconds. If acquire does not complete successfully in\n that interval, return false. Return true otherwise.\n\n \"\"\"\n if not blocking and timeout is not None:\n raise ValueError(\"can't specify timeout for non-blocking acquire\")\n rc = False\n endtime = None\n with self._cond:\n while self._value == 0:\n if not blocking:\n break\n if timeout is not None:\n if endtime is None:\n endtime = _time() + timeout\n else:\n timeout = endtime - _time()\n if timeout <= 0:\n break\n self._cond.wait(timeout)\n else:\n self._value -= 1\n rc = True\n return rc\n\n __enter__ = acquire\n\n def release(self, n=1):\n \"\"\"Release a semaphore, incrementing the internal counter by one or more.\n\n When the counter is zero on entry and another thread is waiting for it\n to become larger than zero again, wake up that thread.\n\n \"\"\"\n if n < 1:\n raise ValueError('n must be one or more')\n with self._cond:\n self._value += n\n self._cond.notify(n)\n\n def __exit__(self, t, v, tb):\n self.release()\n\n\nclass BoundedSemaphore(Semaphore):\n \"\"\"Implements a bounded semaphore.\n\n A bounded semaphore checks to make sure its current value doesn't exceed its\n initial value. If it does, ValueError is raised. In most situations\n semaphores are used to guard resources with limited capacity.\n\n If the semaphore is released too many times it's a sign of a bug. If not\n given, value defaults to 1.\n\n Like regular semaphores, bounded semaphores manage a counter representing\n the number of release() calls minus the number of acquire() calls, plus an\n initial value. The acquire() method blocks if necessary until it can return\n without making the counter negative. If not given, value defaults to 1.\n\n \"\"\"\n\n def __init__(self, value=1):\n super().__init__(value)\n self._initial_value = value\n\n def __repr__(self):\n cls = self.__class__\n return (f\"<{cls.__module__}.{cls.__qualname__} at {id(self):#x}:\"\n f\" value={self._value}/{self._initial_value}>\")\n\n def release(self, n=1):\n \"\"\"Release a semaphore, incrementing the internal counter by one or more.\n\n When the counter is zero on entry and another thread is waiting for it\n to become larger than zero again, wake up that thread.\n\n If the number of releases exceeds the number of acquires,\n raise a ValueError.\n\n \"\"\"\n if n < 1:\n raise ValueError('n must be one or more')\n with self._cond:\n if self._value + n > self._initial_value:\n raise ValueError(\"Semaphore released too many times\")\n self._value += n\n self._cond.notify(n)\n\n\nclass Event:\n \"\"\"Class implementing event objects.\n\n Events manage a flag that can be set to true with the set() method and reset\n to false with the clear() method. The wait() method blocks until the flag is\n true. The flag is initially false.\n\n \"\"\"\n\n # After Tim Peters' event class (without is_posted())\n\n def __init__(self):\n self._cond = Condition(Lock())\n self._flag = False\n\n def __repr__(self):\n cls = self.__class__\n status = 'set' if self._flag else 'unset'\n return f\"<{cls.__module__}.{cls.__qualname__} at {id(self):#x}: {status}>\"\n\n def _at_fork_reinit(self):\n # Private method called by Thread._reset_internal_locks()\n self._cond._at_fork_reinit()\n\n def is_set(self):\n \"\"\"Return true if and only if the internal flag is true.\"\"\"\n return self._flag\n\n def isSet(self):\n \"\"\"Return true if and only if the internal flag is true.\n\n This method is deprecated, use is_set() instead.\n\n \"\"\"\n import warnings\n warnings.warn('isSet() is deprecated, use is_set() instead',\n DeprecationWarning, stacklevel=2)\n return self.is_set()\n\n def set(self):\n \"\"\"Set the internal flag to true.\n\n All threads waiting for it to become true are awakened. Threads\n that call wait() once the flag is true will not block at all.\n\n \"\"\"\n with self._cond:\n self._flag = True\n self._cond.notify_all()\n\n def clear(self):\n \"\"\"Reset the internal flag to false.\n\n Subsequently, threads calling wait() will block until set() is called to\n set the internal flag to true again.\n\n \"\"\"\n with self._cond:\n self._flag = False\n\n def wait(self, timeout=None):\n \"\"\"Block until the internal flag is true.\n\n If the internal flag is true on entry, return immediately. Otherwise,\n block until another thread calls set() to set the flag to true, or until\n the optional timeout occurs.\n\n When the timeout argument is present and not None, it should be a\n floating point number specifying a timeout for the operation in seconds\n (or fractions thereof).\n\n This method returns the internal flag on exit, so it will always return\n True except if a timeout is given and the operation times out.\n\n \"\"\"\n with self._cond:\n signaled = self._flag\n if not signaled:\n signaled = self._cond.wait(timeout)\n return signaled\n\n\n# A barrier class. Inspired in part by the pthread_barrier_* api and\n# the CyclicBarrier class from Java. See\n# http://sourceware.org/pthreads-win32/manual/pthread_barrier_init.html and\n# http://java.sun.com/j2se/1.5.0/docs/api/java/util/concurrent/\n# CyclicBarrier.html\n# for information.\n# We maintain two main states, 'filling' and 'draining' enabling the barrier\n# to be cyclic. Threads are not allowed into it until it has fully drained\n# since the previous cycle. In addition, a 'resetting' state exists which is\n# similar to 'draining' except that threads leave with a BrokenBarrierError,\n# and a 'broken' state in which all threads get the exception.\nclass Barrier:\n \"\"\"Implements a Barrier.\n\n Useful for synchronizing a fixed number of threads at known synchronization\n points. Threads block on 'wait()' and are simultaneously awoken once they\n have all made that call.\n\n \"\"\"\n\n def __init__(self, parties, action=None, timeout=None):\n \"\"\"Create a barrier, initialised to 'parties' threads.\n\n 'action' is a callable which, when supplied, will be called by one of\n the threads after they have all entered the barrier and just prior to\n releasing them all. If a 'timeout' is provided, it is used as the\n default for all subsequent 'wait()' calls.\n\n \"\"\"\n self._cond = Condition(Lock())\n self._action = action\n self._timeout = timeout\n self._parties = parties\n self._state = 0 # 0 filling, 1 draining, -1 resetting, -2 broken\n self._count = 0\n\n def __repr__(self):\n cls = self.__class__\n if self.broken:\n return f\"<{cls.__module__}.{cls.__qualname__} at {id(self):#x}: broken>\"\n return (f\"<{cls.__module__}.{cls.__qualname__} at {id(self):#x}:\"\n f\" waiters={self.n_waiting}/{self.parties}>\")\n\n def wait(self, timeout=None):\n \"\"\"Wait for the barrier.\n\n When the specified number of threads have started waiting, they are all\n simultaneously awoken. If an 'action' was provided for the barrier, one\n of the threads will have executed that callback prior to returning.\n Returns an individual index number from 0 to 'parties-1'.\n\n \"\"\"\n if timeout is None:\n timeout = self._timeout\n with self._cond:\n self._enter() # Block while the barrier drains.\n index = self._count\n self._count += 1\n try:\n if index + 1 == self._parties:\n # We release the barrier\n self._release()\n else:\n # We wait until someone releases us\n self._wait(timeout)\n return index\n finally:\n self._count -= 1\n # Wake up any threads waiting for barrier to drain.\n self._exit()\n\n # Block until the barrier is ready for us, or raise an exception\n # if it is broken.\n def _enter(self):\n while self._state in (-1, 1):\n # It is draining or resetting, wait until done\n self._cond.wait()\n #see if the barrier is in a broken state\n if self._state < 0:\n raise BrokenBarrierError\n assert self._state == 0\n\n # Optionally run the 'action' and release the threads waiting\n # in the barrier.\n def _release(self):\n try:\n if self._action:\n self._action()\n # enter draining state\n self._state = 1\n self._cond.notify_all()\n except:\n #an exception during the _action handler. Break and reraise\n self._break()\n raise\n\n # Wait in the barrier until we are released. Raise an exception\n # if the barrier is reset or broken.\n def _wait(self, timeout):\n if not self._cond.wait_for(lambda : self._state != 0, timeout):\n #timed out. Break the barrier\n self._break()\n raise BrokenBarrierError\n if self._state < 0:\n raise BrokenBarrierError\n assert self._state == 1\n\n # If we are the last thread to exit the barrier, signal any threads\n # waiting for the barrier to drain.\n def _exit(self):\n if self._count == 0:\n if self._state in (-1, 1):\n #resetting or draining\n self._state = 0\n self._cond.notify_all()\n\n def reset(self):\n \"\"\"Reset the barrier to the initial state.\n\n Any threads currently waiting will get the BrokenBarrier exception\n raised.\n\n \"\"\"\n with self._cond:\n if self._count > 0:\n if self._state == 0:\n #reset the barrier, waking up threads\n self._state = -1\n elif self._state == -2:\n #was broken, set it to reset state\n #which clears when the last thread exits\n self._state = -1\n else:\n self._state = 0\n self._cond.notify_all()\n\n def abort(self):\n \"\"\"Place the barrier into a 'broken' state.\n\n Useful in case of error. Any currently waiting threads and threads\n attempting to 'wait()' will have BrokenBarrierError raised.\n\n \"\"\"\n with self._cond:\n self._break()\n\n def _break(self):\n # An internal error was detected. The barrier is set to\n # a broken state all parties awakened.\n self._state = -2\n self._cond.notify_all()\n\n @property\n def parties(self):\n \"\"\"Return the number of threads required to trip the barrier.\"\"\"\n return self._parties\n\n @property\n def n_waiting(self):\n \"\"\"Return the number of threads currently waiting at the barrier.\"\"\"\n # We don't need synchronization here since this is an ephemeral result\n # anyway. It returns the correct value in the steady state.\n if self._state == 0:\n return self._count\n return 0\n\n @property\n def broken(self):\n \"\"\"Return True if the barrier is in a broken state.\"\"\"\n return self._state == -2\n\n# exception raised by the Barrier class\nclass BrokenBarrierError(RuntimeError):\n pass\n\n\n# Helper to generate new thread names\n_counter = _count(1).__next__\ndef _newname(name_template):\n return name_template % _counter()\n\n# Active thread administration.\n#\n# bpo-44422: Use a reentrant lock to allow reentrant calls to functions like\n# threading.enumerate().\n_active_limbo_lock = RLock()\n_active = {} # maps thread id to Thread object\n_limbo = {}\n_dangling = WeakSet()\n\n# Set of Thread._tstate_lock locks of non-daemon threads used by _shutdown()\n# to wait until all Python thread states get deleted:\n# see Thread._set_tstate_lock().\n_shutdown_locks_lock = _allocate_lock()\n_shutdown_locks = set()\n\ndef _maintain_shutdown_locks():\n \"\"\"\n Drop any shutdown locks that don't correspond to running threads anymore.\n\n Calling this from time to time avoids an ever-growing _shutdown_locks\n set when Thread objects are not joined explicitly. See bpo-37788.\n\n This must be called with _shutdown_locks_lock acquired.\n \"\"\"\n # If a lock was released, the corresponding thread has exited\n to_remove = [lock for lock in _shutdown_locks if not lock.locked()]\n _shutdown_locks.difference_update(to_remove)\n\n\n# Main class for threads\n\nclass Thread:\n \"\"\"A class that represents a thread of control.\n\n This class can be safely subclassed in a limited fashion. There are two ways\n to specify the activity: by passing a callable object to the constructor, or\n by overriding the run() method in a subclass.\n\n \"\"\"\n\n _initialized = False\n\n def __init__(self, group=None, target=None, name=None,\n args=(), kwargs=None, *, daemon=None):\n \"\"\"This constructor should always be called with keyword arguments. Arguments are:\n\n *group* should be None; reserved for future extension when a ThreadGroup\n class is implemented.\n\n *target* is the callable object to be invoked by the run()\n method. Defaults to None, meaning nothing is called.\n\n *name* is the thread name. By default, a unique name is constructed of\n the form \"Thread-N\" where N is a small decimal number.\n\n *args* is a list or tuple of arguments for the target invocation. Defaults to ().\n\n *kwargs* is a dictionary of keyword arguments for the target\n invocation. Defaults to {}.\n\n If a subclass overrides the constructor, it must make sure to invoke\n the base class constructor (Thread.__init__()) before doing anything\n else to the thread.\n\n \"\"\"\n assert group is None, \"group argument must be None for now\"\n if kwargs is None:\n kwargs = {}\n if name:\n name = str(name)\n else:\n name = _newname(\"Thread-%d\")\n if target is not None:\n try:\n target_name = target.__name__\n name += f\" ({target_name})\"\n except AttributeError:\n pass\n\n self._target = target\n self._name = name\n self._args = args\n self._kwargs = kwargs\n if daemon is not None:\n if daemon and not _daemon_threads_allowed():\n raise RuntimeError('daemon threads are disabled in this (sub)interpreter')\n self._daemonic = daemon\n else:\n self._daemonic = current_thread().daemon\n self._ident = None\n if _HAVE_THREAD_NATIVE_ID:\n self._native_id = None\n self._tstate_lock = None\n self._started = Event()\n self._is_stopped = False\n self._initialized = True\n # Copy of sys.stderr used by self._invoke_excepthook()\n self._stderr = _sys.stderr\n self._invoke_excepthook = _make_invoke_excepthook()\n # For debugging and _after_fork()\n _dangling.add(self)\n\n def _reset_internal_locks(self, is_alive):\n # private! Called by _after_fork() to reset our internal locks as\n # they may be in an invalid state leading to a deadlock or crash.\n self._started._at_fork_reinit()\n if is_alive:\n # bpo-42350: If the fork happens when the thread is already stopped\n # (ex: after threading._shutdown() has been called), _tstate_lock\n # is None. Do nothing in this case.\n if self._tstate_lock is not None:\n self._tstate_lock._at_fork_reinit()\n self._tstate_lock.acquire()\n else:\n # The thread isn't alive after fork: it doesn't have a tstate\n # anymore.\n self._is_stopped = True\n self._tstate_lock = None\n\n def __repr__(self):\n assert self._initialized, \"Thread.__init__() was not called\"\n status = \"initial\"\n if self._started.is_set():\n status = \"started\"\n self.is_alive() # easy way to get ._is_stopped set when appropriate\n if self._is_stopped:\n status = \"stopped\"\n if self._daemonic:\n status += \" daemon\"\n if self._ident is not None:\n status += \" %s\" % self._ident\n return \"<%s(%s, %s)>\" % (self.__class__.__name__, self._name, status)\n\n def start(self):\n \"\"\"Start the thread's activity.\n\n It must be called at most once per thread object. It arranges for the\n object's run() method to be invoked in a separate thread of control.\n\n This method will raise a RuntimeError if called more than once on the\n same thread object.\n\n \"\"\"\n if not self._initialized:\n raise RuntimeError(\"thread.__init__() not called\")\n\n if self._started.is_set():\n raise RuntimeError(\"threads can only be started once\")\n\n with _active_limbo_lock:\n _limbo[self] = self\n try:\n _start_new_thread(self._bootstrap, ())\n except Exception:\n with _active_limbo_lock:\n del _limbo[self]\n raise\n self._started.wait()\n\n def run(self):\n \"\"\"Method representing the thread's activity.\n\n You may override this method in a subclass. The standard run() method\n invokes the callable object passed to the object's constructor as the\n target argument, if any, with sequential and keyword arguments taken\n from the args and kwargs arguments, respectively.\n\n \"\"\"\n try:\n if self._target is not None:\n self._target(*self._args, **self._kwargs)\n finally:\n # Avoid a refcycle if the thread is running a function with\n # an argument that has a member that points to the thread.\n del self._target, self._args, self._kwargs\n\n def _bootstrap(self):\n # Wrapper around the real bootstrap code that ignores\n # exceptions during interpreter cleanup. Those typically\n # happen when a daemon thread wakes up at an unfortunate\n # moment, finds the world around it destroyed, and raises some\n # random exception *** while trying to report the exception in\n # _bootstrap_inner() below ***. Those random exceptions\n # don't help anybody, and they confuse users, so we suppress\n # them. We suppress them only when it appears that the world\n # indeed has already been destroyed, so that exceptions in\n # _bootstrap_inner() during normal business hours are properly\n # reported. Also, we only suppress them for daemonic threads;\n # if a non-daemonic encounters this, something else is wrong.\n try:\n self._bootstrap_inner()\n except:\n if self._daemonic and _sys is None:\n return\n raise\n\n def _set_ident(self):\n self._ident = get_ident()\n\n if _HAVE_THREAD_NATIVE_ID:\n def _set_native_id(self):\n self._native_id = get_native_id()\n\n def _set_tstate_lock(self):\n \"\"\"\n Set a lock object which will be released by the interpreter when\n the underlying thread state (see pystate.h) gets deleted.\n \"\"\"\n self._tstate_lock = _set_sentinel()\n self._tstate_lock.acquire()\n\n if not self.daemon:\n with _shutdown_locks_lock:\n _maintain_shutdown_locks()\n _shutdown_locks.add(self._tstate_lock)\n\n def _bootstrap_inner(self):\n try:\n self._set_ident()\n self._set_tstate_lock()\n if _HAVE_THREAD_NATIVE_ID:\n self._set_native_id()\n self._started.set()\n with _active_limbo_lock:\n _active[self._ident] = self\n del _limbo[self]\n\n if _trace_hook:\n _sys.settrace(_trace_hook)\n if _profile_hook:\n _sys.setprofile(_profile_hook)\n\n try:\n self.run()\n except:\n self._invoke_excepthook(self)\n finally:\n self._delete()\n\n def _stop(self):\n # After calling ._stop(), .is_alive() returns False and .join() returns\n # immediately. ._tstate_lock must be released before calling ._stop().\n #\n # Normal case: C code at the end of the thread's life\n # (release_sentinel in _threadmodule.c) releases ._tstate_lock, and\n # that's detected by our ._wait_for_tstate_lock(), called by .join()\n # and .is_alive(). Any number of threads _may_ call ._stop()\n # simultaneously (for example, if multiple threads are blocked in\n # .join() calls), and they're not serialized. That's harmless -\n # they'll just make redundant rebindings of ._is_stopped and\n # ._tstate_lock. Obscure: we rebind ._tstate_lock last so that the\n # \"assert self._is_stopped\" in ._wait_for_tstate_lock() always works\n # (the assert is executed only if ._tstate_lock is None).\n #\n # Special case: _main_thread releases ._tstate_lock via this\n # module's _shutdown() function.\n lock = self._tstate_lock\n if lock is not None:\n assert not lock.locked()\n self._is_stopped = True\n self._tstate_lock = None\n if not self.daemon:\n with _shutdown_locks_lock:\n # Remove our lock and other released locks from _shutdown_locks\n _maintain_shutdown_locks()\n\n def _delete(self):\n \"Remove current thread from the dict of currently running threads.\"\n with _active_limbo_lock:\n del _active[get_ident()]\n # There must not be any python code between the previous line\n # and after the lock is released. Otherwise a tracing function\n # could try to acquire the lock again in the same thread, (in\n # current_thread()), and would block.\n\n def join(self, timeout=None):\n \"\"\"Wait until the thread terminates.\n\n This blocks the calling thread until the thread whose join() method is\n called terminates -- either normally or through an unhandled exception\n or until the optional timeout occurs.\n\n When the timeout argument is present and not None, it should be a\n floating point number specifying a timeout for the operation in seconds\n (or fractions thereof). As join() always returns None, you must call\n is_alive() after join() to decide whether a timeout happened -- if the\n thread is still alive, the join() call timed out.\n\n When the timeout argument is not present or None, the operation will\n block until the thread terminates.\n\n A thread can be join()ed many times.\n\n join() raises a RuntimeError if an attempt is made to join the current\n thread as that would cause a deadlock. It is also an error to join() a\n thread before it has been started and attempts to do so raises the same\n exception.\n\n \"\"\"\n if not self._initialized:\n raise RuntimeError(\"Thread.__init__() not called\")\n if not self._started.is_set():\n raise RuntimeError(\"cannot join thread before it is started\")\n if self is current_thread():\n raise RuntimeError(\"cannot join current thread\")\n\n if timeout is None:\n self._wait_for_tstate_lock()\n else:\n # the behavior of a negative timeout isn't documented, but\n # historically .join(timeout=x) for x<0 has acted as if timeout=0\n self._wait_for_tstate_lock(timeout=max(timeout, 0))\n\n def _wait_for_tstate_lock(self, block=True, timeout=-1):\n # Issue #18808: wait for the thread state to be gone.\n # At the end of the thread's life, after all knowledge of the thread\n # is removed from C data structures, C code releases our _tstate_lock.\n # This method passes its arguments to _tstate_lock.acquire().\n # If the lock is acquired, the C code is done, and self._stop() is\n # called. That sets ._is_stopped to True, and ._tstate_lock to None.\n lock = self._tstate_lock\n if lock is None:\n # already determined that the C code is done\n assert self._is_stopped\n return\n\n try:\n if lock.acquire(block, timeout):\n lock.release()\n self._stop()\n except:\n if lock.locked():\n # bpo-45274: lock.acquire() acquired the lock, but the function\n # was interrupted with an exception before reaching the\n # lock.release(). It can happen if a signal handler raises an\n # exception, like CTRL+C which raises KeyboardInterrupt.\n lock.release()\n self._stop()\n raise\n\n @property\n def name(self):\n \"\"\"A string used for identification purposes only.\n\n It has no semantics. Multiple threads may be given the same name. The\n initial name is set by the constructor.\n\n \"\"\"\n assert self._initialized, \"Thread.__init__() not called\"\n return self._name\n\n @name.setter\n def name(self, name):\n assert self._initialized, \"Thread.__init__() not called\"\n self._name = str(name)\n\n @property\n def ident(self):\n \"\"\"Thread identifier of this thread or None if it has not been started.\n\n This is a nonzero integer. See the get_ident() function. Thread\n identifiers may be recycled when a thread exits and another thread is\n created. The identifier is available even after the thread has exited.\n\n \"\"\"\n assert self._initialized, \"Thread.__init__() not called\"\n return self._ident\n\n if _HAVE_THREAD_NATIVE_ID:\n @property\n def native_id(self):\n \"\"\"Native integral thread ID of this thread, or None if it has not been started.\n\n This is a non-negative integer. See the get_native_id() function.\n This represents the Thread ID as reported by the kernel.\n\n \"\"\"\n assert self._initialized, \"Thread.__init__() not called\"\n return self._native_id\n\n def is_alive(self):\n \"\"\"Return whether the thread is alive.\n\n This method returns True just before the run() method starts until just\n after the run() method terminates. See also the module function\n enumerate().\n\n \"\"\"\n assert self._initialized, \"Thread.__init__() not called\"\n if self._is_stopped or not self._started.is_set():\n return False\n self._wait_for_tstate_lock(False)\n return not self._is_stopped\n\n @property\n def daemon(self):\n \"\"\"A boolean value indicating whether this thread is a daemon thread.\n\n This must be set before start() is called, otherwise RuntimeError is\n raised. Its initial value is inherited from the creating thread; the\n main thread is not a daemon thread and therefore all threads created in\n the main thread default to daemon = False.\n\n The entire Python program exits when only daemon threads are left.\n\n \"\"\"\n assert self._initialized, \"Thread.__init__() not called\"\n return self._daemonic\n\n @daemon.setter\n def daemon(self, daemonic):\n if not self._initialized:\n raise RuntimeError(\"Thread.__init__() not called\")\n if daemonic and not _daemon_threads_allowed():\n raise RuntimeError('daemon threads are disabled in this interpreter')\n if self._started.is_set():\n raise RuntimeError(\"cannot set daemon status of active thread\")\n self._daemonic = daemonic\n\n def isDaemon(self):\n \"\"\"Return whether this thread is a daemon.\n\n This method is deprecated, use the daemon attribute instead.\n\n \"\"\"\n import warnings\n warnings.warn('isDaemon() is deprecated, get the daemon attribute instead',\n DeprecationWarning, stacklevel=2)\n return self.daemon\n\n def setDaemon(self, daemonic):\n \"\"\"Set whether this thread is a daemon.\n\n This method is deprecated, use the .daemon property instead.\n\n \"\"\"\n import warnings\n warnings.warn('setDaemon() is deprecated, set the daemon attribute instead',\n DeprecationWarning, stacklevel=2)\n self.daemon = daemonic\n\n def getName(self):\n \"\"\"Return a string used for identification purposes only.\n\n This method is deprecated, use the name attribute instead.\n\n \"\"\"\n import warnings\n warnings.warn('getName() is deprecated, get the name attribute instead',\n DeprecationWarning, stacklevel=2)\n return self.name\n\n def setName(self, name):\n \"\"\"Set the name string for this thread.\n\n This method is deprecated, use the name attribute instead.\n\n \"\"\"\n import warnings\n warnings.warn('setName() is deprecated, set the name attribute instead',\n DeprecationWarning, stacklevel=2)\n self.name = name\n\n\ntry:\n from _thread import (_excepthook as excepthook,\n _ExceptHookArgs as ExceptHookArgs)\nexcept ImportError:\n # Simple Python implementation if _thread._excepthook() is not available\n from traceback import print_exception as _print_exception\n from collections import namedtuple\n\n _ExceptHookArgs = namedtuple(\n 'ExceptHookArgs',\n 'exc_type exc_value exc_traceback thread')\n\n def ExceptHookArgs(args):\n return _ExceptHookArgs(*args)\n\n def excepthook(args, /):\n \"\"\"\n Handle uncaught Thread.run() exception.\n \"\"\"\n if args.exc_type == SystemExit:\n # silently ignore SystemExit\n return\n\n if _sys is not None and _sys.stderr is not None:\n stderr = _sys.stderr\n elif args.thread is not None:\n stderr = args.thread._stderr\n if stderr is None:\n # do nothing if sys.stderr is None and sys.stderr was None\n # when the thread was created\n return\n else:\n # do nothing if sys.stderr is None and args.thread is None\n return\n\n if args.thread is not None:\n name = args.thread.name\n else:\n name = get_ident()\n print(f\"Exception in thread {name}:\",\n file=stderr, flush=True)\n _print_exception(args.exc_type, args.exc_value, args.exc_traceback,\n file=stderr)\n stderr.flush()\n\n\n# Original value of threading.excepthook\n__excepthook__ = excepthook\n\n\ndef _make_invoke_excepthook():\n # Create a local namespace to ensure that variables remain alive\n # when _invoke_excepthook() is called, even if it is called late during\n # Python shutdown. It is mostly needed for daemon threads.\n\n old_excepthook = excepthook\n old_sys_excepthook = _sys.excepthook\n if old_excepthook is None:\n raise RuntimeError(\"threading.excepthook is None\")\n if old_sys_excepthook is None:\n raise RuntimeError(\"sys.excepthook is None\")\n\n sys_exc_info = _sys.exc_info\n local_print = print\n local_sys = _sys\n\n def invoke_excepthook(thread):\n global excepthook\n try:\n hook = excepthook\n if hook is None:\n hook = old_excepthook\n\n args = ExceptHookArgs([*sys_exc_info(), thread])\n\n hook(args)\n except Exception as exc:\n exc.__suppress_context__ = True\n del exc\n\n if local_sys is not None and local_sys.stderr is not None:\n stderr = local_sys.stderr\n else:\n stderr = thread._stderr\n\n local_print(\"Exception in threading.excepthook:\",\n file=stderr, flush=True)\n\n if local_sys is not None and local_sys.excepthook is not None:\n sys_excepthook = local_sys.excepthook\n else:\n sys_excepthook = old_sys_excepthook\n\n sys_excepthook(*sys_exc_info())\n finally:\n # Break reference cycle (exception stored in a variable)\n args = None\n\n return invoke_excepthook\n\n\n# The timer class was contributed by Itamar Shtull-Trauring\n\nclass Timer(Thread):\n \"\"\"Call a function after a specified number of seconds:\n\n t = Timer(30.0, f, args=None, kwargs=None)\n t.start()\n t.cancel() # stop the timer's action if it's still waiting\n\n \"\"\"\n\n def __init__(self, interval, function, args=None, kwargs=None):\n Thread.__init__(self)\n self.interval = interval\n self.function = function\n self.args = args if args is not None else []\n self.kwargs = kwargs if kwargs is not None else {}\n self.finished = Event()\n\n def cancel(self):\n \"\"\"Stop the timer if it hasn't finished yet.\"\"\"\n self.finished.set()\n\n def run(self):\n self.finished.wait(self.interval)\n if not self.finished.is_set():\n self.function(*self.args, **self.kwargs)\n self.finished.set()\n\n\n# Special thread class to represent the main thread\n\nclass _MainThread(Thread):\n\n def __init__(self):\n Thread.__init__(self, name=\"MainThread\", daemon=False)\n self._set_tstate_lock()\n self._started.set()\n self._set_ident()\n if _HAVE_THREAD_NATIVE_ID:\n self._set_native_id()\n with _active_limbo_lock:\n _active[self._ident] = self\n\n\n# Dummy thread class to represent threads not started here.\n# These aren't garbage collected when they die, nor can they be waited for.\n# If they invoke anything in threading.py that calls current_thread(), they\n# leave an entry in the _active dict forever after.\n# Their purpose is to return *something* from current_thread().\n# They are marked as daemon threads so we won't wait for them\n# when we exit (conform previous semantics).\n\nclass _DummyThread(Thread):\n\n def __init__(self):\n Thread.__init__(self, name=_newname(\"Dummy-%d\"),\n daemon=_daemon_threads_allowed())\n self._started.set()\n self._set_ident()\n if _HAVE_THREAD_NATIVE_ID:\n self._set_native_id()\n with _active_limbo_lock:\n _active[self._ident] = self\n\n def _stop(self):\n pass\n\n def is_alive(self):\n assert not self._is_stopped and self._started.is_set()\n return True\n\n def join(self, timeout=None):\n assert False, \"cannot join a dummy thread\"\n\n\n# Global API functions\n\ndef current_thread():\n \"\"\"Return the current Thread object, corresponding to the caller's thread of control.\n\n If the caller's thread of control was not created through the threading\n module, a dummy thread object with limited functionality is returned.\n\n \"\"\"\n try:\n return _active[get_ident()]\n except KeyError:\n return _DummyThread()\n\ndef currentThread():\n \"\"\"Return the current Thread object, corresponding to the caller's thread of control.\n\n This function is deprecated, use current_thread() instead.\n\n \"\"\"\n import warnings\n warnings.warn('currentThread() is deprecated, use current_thread() instead',\n DeprecationWarning, stacklevel=2)\n return current_thread()\n\ndef active_count():\n \"\"\"Return the number of Thread objects currently alive.\n\n The returned count is equal to the length of the list returned by\n enumerate().\n\n \"\"\"\n # NOTE: if the logic in here ever changes, update Modules/posixmodule.c\n # warn_about_fork_with_threads() to match.\n with _active_limbo_lock:\n return len(_active) + len(_limbo)\n\ndef activeCount():\n \"\"\"Return the number of Thread objects currently alive.\n\n This function is deprecated, use active_count() instead.\n\n \"\"\"\n import warnings\n warnings.warn('activeCount() is deprecated, use active_count() instead',\n DeprecationWarning, stacklevel=2)\n return active_count()\n\ndef _enumerate():\n # Same as enumerate(), but without the lock. Internal use only.\n return list(_active.values()) + list(_limbo.values())\n\ndef enumerate():\n \"\"\"Return a list of all Thread objects currently alive.\n\n The list includes daemonic threads, dummy thread objects created by\n current_thread(), and the main thread. It excludes terminated threads and\n threads that have not yet been started.\n\n \"\"\"\n with _active_limbo_lock:\n return list(_active.values()) + list(_limbo.values())\n\n\n_threading_atexits = []\n_SHUTTING_DOWN = False\n\ndef _register_atexit(func, *arg, **kwargs):\n \"\"\"CPython internal: register *func* to be called before joining threads.\n\n The registered *func* is called with its arguments just before all\n non-daemon threads are joined in `_shutdown()`. It provides a similar\n purpose to `atexit.register()`, but its functions are called prior to\n threading shutdown instead of interpreter shutdown.\n\n For similarity to atexit, the registered functions are called in reverse.\n \"\"\"\n if _SHUTTING_DOWN:\n raise RuntimeError(\"can't register atexit after shutdown\")\n\n call = functools.partial(func, *arg, **kwargs)\n _threading_atexits.append(call)\n\n\nfrom _thread import stack_size\n\n# Create the main thread object,\n# and make it available for the interpreter\n# (Py_Main) as threading._shutdown.\n\n_main_thread = _MainThread()\n\ndef _shutdown():\n \"\"\"\n Wait until the Python thread state of all non-daemon threads get deleted.\n \"\"\"\n # Obscure: other threads may be waiting to join _main_thread. That's\n # dubious, but some code does it. We can't wait for C code to release\n # the main thread's tstate_lock - that won't happen until the interpreter\n # is nearly dead. So we release it here. Note that just calling _stop()\n # isn't enough: other threads may already be waiting on _tstate_lock.\n if _main_thread._is_stopped and _is_main_interpreter():\n # _shutdown() was already called\n return\n\n global _SHUTTING_DOWN\n _SHUTTING_DOWN = True\n\n # Call registered threading atexit functions before threads are joined.\n # Order is reversed, similar to atexit.\n for atexit_call in reversed(_threading_atexits):\n atexit_call()\n\n # Main thread\n if _main_thread.ident == get_ident():\n tlock = _main_thread._tstate_lock\n # The main thread isn't finished yet, so its thread state lock can't\n # have been released.\n assert tlock is not None\n assert tlock.locked()\n tlock.release()\n _main_thread._stop()\n else:\n # bpo-1596321: _shutdown() must be called in the main thread.\n # If the threading module was not imported by the main thread,\n # _main_thread is the thread which imported the threading module.\n # In this case, ignore _main_thread, similar behavior than for threads\n # spawned by C libraries or using _thread.start_new_thread().\n pass\n\n # Join all non-deamon threads\n while True:\n with _shutdown_locks_lock:\n locks = list(_shutdown_locks)\n _shutdown_locks.clear()\n\n if not locks:\n break\n\n for lock in locks:\n # mimic Thread.join()\n lock.acquire()\n lock.release()\n\n # new threads can be spawned while we were waiting for the other\n # threads to complete\n\n\ndef main_thread():\n \"\"\"Return the main thread object.\n\n In normal conditions, the main thread is the thread from which the\n Python interpreter was started.\n \"\"\"\n # XXX Figure this out for subinterpreters. (See gh-75698.)\n return _main_thread\n\n# get thread-local implementation, either from the thread\n# module, or from the python fallback\n\ntry:\n from _thread import _local as local\nexcept ImportError:\n from _threading_local import local\n\n\ndef _after_fork():\n \"\"\"\n Cleanup threading module state that should not exist after a fork.\n \"\"\"\n # Reset _active_limbo_lock, in case we forked while the lock was held\n # by another (non-forked) thread. http://bugs.python.org/issue874900\n global _active_limbo_lock, _main_thread\n global _shutdown_locks_lock, _shutdown_locks\n _active_limbo_lock = RLock()\n\n # fork() only copied the current thread; clear references to others.\n new_active = {}\n\n try:\n current = _active[get_ident()]\n except KeyError:\n # fork() was called in a thread which was not spawned\n # by threading.Thread. For example, a thread spawned\n # by thread.start_new_thread().\n current = _MainThread()\n\n _main_thread = current\n\n # reset _shutdown() locks: threads re-register their _tstate_lock below\n _shutdown_locks_lock = _allocate_lock()\n _shutdown_locks = set()\n\n with _active_limbo_lock:\n # Dangling thread instances must still have their locks reset,\n # because someone may join() them.\n threads = set(_enumerate())\n threads.update(_dangling)\n for thread in threads:\n # Any lock/condition variable may be currently locked or in an\n # invalid state, so we reinitialize them.\n if thread is current:\n # There is only one active thread. We reset the ident to\n # its new value since it can have changed.\n thread._reset_internal_locks(True)\n ident = get_ident()\n if isinstance(thread, _DummyThread):\n thread.__class__ = _MainThread\n thread._name = 'MainThread'\n thread._daemonic = False\n thread._set_tstate_lock()\n thread._ident = ident\n new_active[ident] = thread\n else:\n # All the others are already stopped.\n thread._reset_internal_locks(False)\n thread._stop()\n\n _limbo.clear()\n _active.clear()\n _active.update(new_active)\n assert len(_active) == 1\n\n\nif hasattr(_os, \"register_at_fork\"):\n _os.register_at_fork(after_in_child=_after_fork)\n", 1706], "/usr/lib/python3.12/_weakrefset.py": ["# Access WeakSet through the weakref module.\n# This code is separated-out because it is needed\n# by abc.py to load everything else at startup.\n\nfrom _weakref import ref\nfrom types import GenericAlias\n\n__all__ = ['WeakSet']\n\n\nclass _IterationGuard:\n # This context manager registers itself in the current iterators of the\n # weak container, such as to delay all removals until the context manager\n # exits.\n # This technique should be relatively thread-safe (since sets are).\n\n def __init__(self, weakcontainer):\n # Don't create cycles\n self.weakcontainer = ref(weakcontainer)\n\n def __enter__(self):\n w = self.weakcontainer()\n if w is not None:\n w._iterating.add(self)\n return self\n\n def __exit__(self, e, t, b):\n w = self.weakcontainer()\n if w is not None:\n s = w._iterating\n s.remove(self)\n if not s:\n w._commit_removals()\n\n\nclass WeakSet:\n def __init__(self, data=None):\n self.data = set()\n def _remove(item, selfref=ref(self)):\n self = selfref()\n if self is not None:\n if self._iterating:\n self._pending_removals.append(item)\n else:\n self.data.discard(item)\n self._remove = _remove\n # A list of keys to be removed\n self._pending_removals = []\n self._iterating = set()\n if data is not None:\n self.update(data)\n\n def _commit_removals(self):\n pop = self._pending_removals.pop\n discard = self.data.discard\n while True:\n try:\n item = pop()\n except IndexError:\n return\n discard(item)\n\n def __iter__(self):\n with _IterationGuard(self):\n for itemref in self.data:\n item = itemref()\n if item is not None:\n # Caveat: the iterator will keep a strong reference to\n # `item` until it is resumed or closed.\n yield item\n\n def __len__(self):\n return len(self.data) - len(self._pending_removals)\n\n def __contains__(self, item):\n try:\n wr = ref(item)\n except TypeError:\n return False\n return wr in self.data\n\n def __reduce__(self):\n return self.__class__, (list(self),), self.__getstate__()\n\n def add(self, item):\n if self._pending_removals:\n self._commit_removals()\n self.data.add(ref(item, self._remove))\n\n def clear(self):\n if self._pending_removals:\n self._commit_removals()\n self.data.clear()\n\n def copy(self):\n return self.__class__(self)\n\n def pop(self):\n if self._pending_removals:\n self._commit_removals()\n while True:\n try:\n itemref = self.data.pop()\n except KeyError:\n raise KeyError('pop from empty WeakSet') from None\n item = itemref()\n if item is not None:\n return item\n\n def remove(self, item):\n if self._pending_removals:\n self._commit_removals()\n self.data.remove(ref(item))\n\n def discard(self, item):\n if self._pending_removals:\n self._commit_removals()\n self.data.discard(ref(item))\n\n def update(self, other):\n if self._pending_removals:\n self._commit_removals()\n for element in other:\n self.add(element)\n\n def __ior__(self, other):\n self.update(other)\n return self\n\n def difference(self, other):\n newset = self.copy()\n newset.difference_update(other)\n return newset\n __sub__ = difference\n\n def difference_update(self, other):\n self.__isub__(other)\n def __isub__(self, other):\n if self._pending_removals:\n self._commit_removals()\n if self is other:\n self.data.clear()\n else:\n self.data.difference_update(ref(item) for item in other)\n return self\n\n def intersection(self, other):\n return self.__class__(item for item in other if item in self)\n __and__ = intersection\n\n def intersection_update(self, other):\n self.__iand__(other)\n def __iand__(self, other):\n if self._pending_removals:\n self._commit_removals()\n self.data.intersection_update(ref(item) for item in other)\n return self\n\n def issubset(self, other):\n return self.data.issubset(ref(item) for item in other)\n __le__ = issubset\n\n def __lt__(self, other):\n return self.data < set(map(ref, other))\n\n def issuperset(self, other):\n return self.data.issuperset(ref(item) for item in other)\n __ge__ = issuperset\n\n def __gt__(self, other):\n return self.data > set(map(ref, other))\n\n def __eq__(self, other):\n if not isinstance(other, self.__class__):\n return NotImplemented\n return self.data == set(map(ref, other))\n\n def symmetric_difference(self, other):\n newset = self.copy()\n newset.symmetric_difference_update(other)\n return newset\n __xor__ = symmetric_difference\n\n def symmetric_difference_update(self, other):\n self.__ixor__(other)\n def __ixor__(self, other):\n if self._pending_removals:\n self._commit_removals()\n if self is other:\n self.data.clear()\n else:\n self.data.symmetric_difference_update(ref(item, self._remove) for item in other)\n return self\n\n def union(self, other):\n return self.__class__(e for s in (self, other) for e in s)\n __or__ = union\n\n def isdisjoint(self, other):\n return len(self.intersection(other)) == 0\n\n def __repr__(self):\n return repr(self.data)\n\n __class_getitem__ = classmethod(GenericAlias)\n", 205], "/home/gaogaotiantian/programs/viztracer/example/src/multithread.py": ["import os\nimport threading\nimport time\n\nfrom viztracer import VizTracer\n\n\ndef fib(n):\n if n < 2:\n return 1\n time.sleep(0.0000001)\n return fib(n - 1) + fib(n - 2)\n\n\nclass MyThread(threading.Thread):\n def run(self):\n fib(7)\n\n\nwith VizTracer(\n output_file=os.path.join(os.path.dirname(__file__), \"../\", \"json/multithread.json\"),\n file_info=True,\n) as _:\n thread1 = MyThread()\n thread2 = MyThread()\n thread3 = MyThread()\n thread4 = MyThread()\n\n thread1.start()\n thread2.start()\n thread3.start()\n thread4.start()\n\n threads = [thread1, thread2, thread3, thread4]\n\n for thread in threads:\n thread.join()\n", 37]}, "functions": {"_newname (/usr/lib/python3.12/threading.py:837)": ["/usr/lib/python3.12/threading.py", 837], "current_thread (/usr/lib/python3.12/threading.py:1483)": ["/usr/lib/python3.12/threading.py", 1483], "Thread.daemon (/usr/lib/python3.12/threading.py:1234)": ["/usr/lib/python3.12/threading.py", 1234], "Condition.__init__ (/usr/lib/python3.12/threading.py:277)": ["/usr/lib/python3.12/threading.py", 277], "Event.__init__ (/usr/lib/python3.12/threading.py:588)": ["/usr/lib/python3.12/threading.py", 588], "_make_invoke_excepthook (/usr/lib/python3.12/threading.py:1354)": ["/usr/lib/python3.12/threading.py", 1354], "WeakSet.add (/usr/lib/python3.12/_weakrefset.py:85)": ["/usr/lib/python3.12/_weakrefset.py", 85], "Thread.__init__ (/usr/lib/python3.12/threading.py:882)": ["/usr/lib/python3.12/threading.py", 882], "Event.is_set (/usr/lib/python3.12/threading.py:601)": ["/usr/lib/python3.12/threading.py", 601], "Condition.__enter__ (/usr/lib/python3.12/threading.py:299)": ["/usr/lib/python3.12/threading.py", 299], "Condition._is_owned (/usr/lib/python3.12/threading.py:314)": ["/usr/lib/python3.12/threading.py", 314], "Condition._release_save (/usr/lib/python3.12/threading.py:308)": ["/usr/lib/python3.12/threading.py", 308], "Thread._set_ident (/usr/lib/python3.12/threading.py:1036)": ["/usr/lib/python3.12/threading.py", 1036], "_maintain_shutdown_locks (/usr/lib/python3.12/threading.py:855)": ["/usr/lib/python3.12/threading.py", 855], "Thread._set_tstate_lock (/usr/lib/python3.12/threading.py:1043)": ["/usr/lib/python3.12/threading.py", 1043], "Thread._set_native_id (/usr/lib/python3.12/threading.py:1040)": ["/usr/lib/python3.12/threading.py", 1040], "Condition.notify (/usr/lib/python3.12/threading.py:394)": ["/usr/lib/python3.12/threading.py", 394], "Condition.notify_all (/usr/lib/python3.12/threading.py:424)": ["/usr/lib/python3.12/threading.py", 424], "Condition.__exit__ (/usr/lib/python3.12/threading.py:302)": ["/usr/lib/python3.12/threading.py", 302], "Event.set (/usr/lib/python3.12/threading.py:616)": ["/usr/lib/python3.12/threading.py", 616], "WeakSet.__init__.._remove (/usr/lib/python3.12/_weakrefset.py:39)": ["/usr/lib/python3.12/_weakrefset.py", 39], "Condition._acquire_restore (/usr/lib/python3.12/threading.py:311)": ["/usr/lib/python3.12/threading.py", 311], "Condition.wait (/usr/lib/python3.12/threading.py:323)": ["/usr/lib/python3.12/threading.py", 323], "Event.wait (/usr/lib/python3.12/threading.py:637)": ["/usr/lib/python3.12/threading.py", 637], "Thread.start (/usr/lib/python3.12/threading.py:973)": ["/usr/lib/python3.12/threading.py", 973], "fib (/home/gaogaotiantian/programs/viztracer/example/src/multithread.py:8)": ["/home/gaogaotiantian/programs/viztracer/example/src/multithread.py", 8], "MyThread.run (/home/gaogaotiantian/programs/viztracer/example/src/multithread.py:16)": ["/home/gaogaotiantian/programs/viztracer/example/src/multithread.py", 16], "Thread._delete (/usr/lib/python3.12/threading.py:1106)": ["/usr/lib/python3.12/threading.py", 1106], "Thread._bootstrap_inner (/usr/lib/python3.12/threading.py:1056)": ["/usr/lib/python3.12/threading.py", 1056], "Thread._bootstrap (/usr/lib/python3.12/threading.py:1016)": ["/usr/lib/python3.12/threading.py", 1016], "Thread._stop (/usr/lib/python3.12/threading.py:1079)": ["/usr/lib/python3.12/threading.py", 1079], "Thread._wait_for_tstate_lock (/usr/lib/python3.12/threading.py:1153)": ["/usr/lib/python3.12/threading.py", 1153], "Thread.join (/usr/lib/python3.12/threading.py:1115)": ["/usr/lib/python3.12/threading.py", 1115]}}} ================================================ FILE: example/requirements.txt ================================================ numpy mcts ================================================ FILE: example/src/async_simple.py ================================================ import asyncio async def io_task(): await asyncio.sleep(0.01) async def main(): t1 = asyncio.create_task(io_task()) t2 = asyncio.create_task(io_task()) t3 = asyncio.create_task(io_task()) await t1 await t2 await t3 if __name__ == "__main__": asyncio.run(main()) ================================================ FILE: example/src/different_sorts.py ================================================ # https://github.com/TheAlgorithms/Python import os import random from viztracer import VizTracer def merge_sort(collection): """Pure implementation of the merge sort algorithm in Python :param collection: some mutable ordered collection with heterogeneous comparable items inside :return: the same collection ordered by ascending Examples: >>> merge_sort([0, 5, 3, 2, 2]) [0, 2, 2, 3, 5] >>> merge_sort([]) [] >>> merge_sort([-2, -5, -45]) [-45, -5, -2] """ def merge(left, right): """merge left and right :param left: left collection :param right: right collection :return: merge result """ result = [] while left and right: result.append((left if left[0] <= right[0] else right).pop(0)) return result + left + right if len(collection) <= 1: return collection mid = len(collection) // 2 return merge(merge_sort(collection[:mid]), merge_sort(collection[mid:])) def quick_sort(collection): """Pure implementation of quick sort algorithm in Python :param collection: some mutable ordered collection with heterogeneous comparable items inside :return: the same collection ordered by ascending Examples: >>> quick_sort([0, 5, 3, 2, 2]) [0, 2, 2, 3, 5] >>> quick_sort([]) [] >>> quick_sort([-2, -5, -45]) [-45, -5, -2] """ length = len(collection) if length <= 1: return collection else: # Use the last element as the first pivot pivot = collection.pop() # Put elements greater than pivot in greater list # Put elements lesser than pivot in lesser list greater, lesser = [], [] for element in collection: if element > pivot: greater.append(element) else: lesser.append(element) return quick_sort(lesser) + [pivot] + quick_sort(greater) def heapify(unsorted, index, heap_size): largest = index left_index = 2 * index + 1 right_index = 2 * index + 2 if left_index < heap_size and unsorted[left_index] > unsorted[largest]: largest = left_index if right_index < heap_size and unsorted[right_index] > unsorted[largest]: largest = right_index if largest != index: unsorted[largest], unsorted[index] = unsorted[index], unsorted[largest] heapify(unsorted, largest, heap_size) def heap_sort(unsorted): """ Pure implementation of the heap sort algorithm in Python :param collection: some mutable ordered collection with heterogeneous comparable items inside :return: the same collection ordered by ascending Examples: >>> heap_sort([0, 5, 3, 2, 2]) [0, 2, 2, 3, 5] >>> heap_sort([]) [] >>> heap_sort([-2, -5, -45]) [-45, -5, -2] """ n = len(unsorted) for i in range(n // 2 - 1, -1, -1): heapify(unsorted, i, n) for i in range(n - 1, 0, -1): unsorted[0], unsorted[i] = unsorted[i], unsorted[0] heapify(unsorted, 0, i) return unsorted arr1 = [random.randrange(100000) for _ in range(500)] arr2 = [random.randrange(100000) for _ in range(500)] arr3 = [random.randrange(100000) for _ in range(500)] with VizTracer( output_file=os.path.join( os.path.dirname(__file__), "../", "json/different_sorts.json" ), file_info=True, ) as _: merge_sort(arr1) quick_sort(arr2) heap_sort(arr3) ================================================ FILE: example/src/function_args_return.py ================================================ import os from viztracer import VizTracer def fib(n): if n < 2: return 1 return fib(n - 1) + fib(n - 2) with VizTracer( log_func_args=True, log_func_retval=True, file_info=True, output_file=os.path.join( os.path.dirname(__file__), "../", "json/function_args_return.json" ), ): fib(6) ================================================ FILE: example/src/gradient_descent.py ================================================ # https://github.com/TheAlgorithms/Python import math import os import numpy from viztracer import VizTracer from viztracer.vizcounter import VizCounter # List of input, output pairs train_data = ( ((5, 2, 3), 15), ((6, 5, 9), 25), ((11, 12, 13), 41), ((1, 1, 1), 8), ((11, 12, 13), 41), ) test_data = (((515, 22, 13), 555), ((61, 35, 49), 150)) parameter_vector = [2, 4, 1, 5] m = len(train_data) LEARNING_RATE = 0.009 def _error(example_no, data_set="train"): """ :param data_set: train data or test data :param example_no: example number whose error has to be checked :return: error in example pointed by example number. """ return calculate_hypothesis_value(example_no, data_set) - output( example_no, data_set ) def _hypothesis_value(data_input_tuple): """ Calculates hypothesis function value for a given input :param data_input_tuple: Input tuple of a particular example :return: Value of hypothesis function at that point. Note that there is an 'biased input' whose value is fixed as 1. It is not explicitly mentioned in input data.. But, ML hypothesis functions use it. So, we have to take care of it separately. Line 36 takes care of it. """ hyp_val = 0 for i in range(len(parameter_vector) - 1): hyp_val += data_input_tuple[i] * parameter_vector[i + 1] hyp_val += parameter_vector[0] return hyp_val def output(example_no, data_set): """ :param data_set: test data or train data :param example_no: example whose output is to be fetched :return: output for that example """ if data_set == "train": return train_data[example_no][1] elif data_set == "test": return test_data[example_no][1] def calculate_hypothesis_value(example_no, data_set): """ Calculates hypothesis value for a given example :param data_set: test data or train_data :param example_no: example whose hypothesis value is to be calculated :return: hypothesis value for that example """ if data_set == "train": return _hypothesis_value(train_data[example_no][0]) elif data_set == "test": return _hypothesis_value(test_data[example_no][0]) def summation_of_cost_derivative(index, end=m): """ Calculates the sum of cost function derivative :param index: index wrt derivative is being calculated :param end: value where summation ends, default is m, number of examples :return: Returns the summation of cost derivative Note: If index is -1, this means we are calculating summation wrt to biased parameter. """ summation_value = 0 for i in range(end): if index == -1: summation_value += _error(i) else: summation_value += _error(i) * train_data[i][0][index] return summation_value def get_cost_derivative(index): """ :param index: index of the parameter vector wrt to derivative is to be calculated :return: derivative wrt to that index Note: If index is -1, this means we are calculating summation wrt to biased parameter. """ cost_derivative_value = summation_of_cost_derivative(index, m) / m return cost_derivative_value def run_gradient_descent(): global parameter_vector # Tune these values to set a tolerance value for predicted output absolute_error_limit = 0.004 relative_error_limit = 0 j = 0 while True: j += 1 temp_parameter_vector = [0, 0, 0, 0] err = 0 for i in range(0, len(parameter_vector)): cost_derivative = get_cost_derivative(i - 1) err += abs(cost_derivative) temp_parameter_vector[i] = ( parameter_vector[i] - LEARNING_RATE * cost_derivative ) counter.cost = math.log(1 + err) if numpy.allclose( parameter_vector, temp_parameter_vector, atol=absolute_error_limit, rtol=relative_error_limit, ): break parameter_vector = temp_parameter_vector print(("Number of iterations:", j)) def test_gradient_descent(): for i in range(len(test_data)): print(("Actual output value:", output(i, "test"))) print(("Hypothesis output:", calculate_hypothesis_value(i, "test"))) if __name__ == "__main__": with VizTracer( log_print=True, output_file=os.path.join( os.path.dirname(__file__), "../", "json/gradient_descent.json" ), file_info=True, ) as tracer: counter = VizCounter(tracer, "log(1 + cost)") run_gradient_descent() test_gradient_descent() ================================================ FILE: example/src/logging_integration.py ================================================ import logging from viztracer import get_tracer from viztracer.vizlogging import VizLoggingHandler def fib(n): if n < 2: logging.warning("Base case, return 1") return 1 logging.info(f"Recursive, working on {n}") return fib(n - 1) + fib(n - 2) handler = VizLoggingHandler() handler.setTracer(get_tracer()) logging.basicConfig(handlers=[handler], level=logging.INFO) fib(7) ================================================ FILE: example/src/mcts_game.py ================================================ from __future__ import division import operator from copy import deepcopy from functools import reduce from mcts import mcts class NaughtsAndCrossesState: def __init__(self): self.board = [[0, 0, 0], [0, 0, 0], [0, 0, 0]] self.currentPlayer = 1 def getCurrentPlayer(self): return self.currentPlayer def getPossibleActions(self): possibleActions = [] for i in range(len(self.board)): for j in range(len(self.board[i])): if self.board[i][j] == 0: possibleActions.append(Action(player=self.currentPlayer, x=i, y=j)) return possibleActions def takeAction(self, action): newState = deepcopy(self) newState.board[action.x][action.y] = action.player newState.currentPlayer = self.currentPlayer * -1 return newState def isTerminal(self): for row in self.board: if abs(sum(row)) == 3: return True for column in list(map(list, zip(*self.board))): if abs(sum(column)) == 3: return True for diagonal in [ [self.board[i][i] for i in range(len(self.board))], [self.board[i][len(self.board) - i - 1] for i in range(len(self.board))], ]: if abs(sum(diagonal)) == 3: return True return reduce(operator.mul, sum(self.board, []), 1) def getReward(self): for row in self.board: if abs(sum(row)) == 3: return sum(row) / 3 for column in list(map(list, zip(*self.board))): if abs(sum(column)) == 3: return sum(column) / 3 for diagonal in [ [self.board[i][i] for i in range(len(self.board))], [self.board[i][len(self.board) - i - 1] for i in range(len(self.board))], ]: if abs(sum(diagonal)) == 3: return sum(diagonal) / 3 return False class Action: def __init__(self, player, x, y): self.player = player self.x = x self.y = y def __str__(self): return str((self.x, self.y)) def __repr__(self): return str(self) def __eq__(self, other): return ( self.__class__ == other.__class__ and self.x == other.x and self.y == other.y and self.player == other.player ) def __hash__(self): return hash((self.x, self.y, self.player)) initialState = NaughtsAndCrossesState() mcts = mcts(timeLimit=10) action = mcts.search(initialState=initialState) ================================================ FILE: example/src/multi_process_pool.py ================================================ import os from multiprocessing import Pool def f(x): return x**x if __name__ == "__main__": process_num = 5 with Pool(processes=process_num) as pool: print(pool.map(f, range(10))) for i in pool.imap_unordered(f, range(10)): print(i) res = pool.apply_async(f, (20,)) # runs in *only* one process print(res.get(timeout=1)) # prints "400" res = pool.apply_async(os.getpid, ()) # runs in *only* one process print(res.get(timeout=1)) # prints the PID of that process multiple_results = [pool.apply_async(os.getpid, ()) for i in range(process_num)] print([res.get(timeout=1) for res in multiple_results]) ================================================ FILE: example/src/multithread.py ================================================ import os import threading import time from viztracer import VizTracer def fib(n): if n < 2: return 1 time.sleep(0.0000001) return fib(n - 1) + fib(n - 2) class MyThread(threading.Thread): def run(self): fib(7) with VizTracer( output_file=os.path.join(os.path.dirname(__file__), "../", "json/multithread.json"), file_info=True, ) as _: thread1 = MyThread() thread2 = MyThread() thread3 = MyThread() thread4 = MyThread() thread1.start() thread2.start() thread3.start() thread4.start() threads = [thread1, thread2, thread3, thread4] for thread in threads: thread.join() ================================================ FILE: pyproject.toml ================================================ [build-system] requires = ["setuptools"] build-backend = "setuptools.build_meta" [project] name = "viztracer" authors = [{name = "Tian Gao", email = "gaogaotiantian@hotmail.com"}] description = "A debugging and profiling tool that can trace and visualize python code execution" dependencies = ["objprint>=0.3.0"] readme = "README.md" requires-python = ">=3.10" license = "Apache-2.0" dynamic = ["version"] classifiers = [ "Development Status :: 5 - Production/Stable", "Programming Language :: Python :: 3.10", "Programming Language :: Python :: 3.11", "Programming Language :: Python :: 3.12", "Programming Language :: Python :: 3.13", "Programming Language :: Python :: 3.14", "Programming Language :: Python :: Free Threading", "Programming Language :: Python :: Free Threading :: 3 - Stable", "Intended Audience :: Developers", "Operating System :: MacOS", "Operating System :: POSIX :: Linux", "Operating System :: Microsoft :: Windows", "Topic :: Software Development :: Quality Assurance", "Topic :: Software Development :: Bug Tracking", "Topic :: System :: Logging", ] [project.urls] Homepage = "https://github.com/gaogaotiantian/viztracer" Documentation = "https://viztracer.readthedocs.io" [project.optional-dependencies] full = ["orjson"] [project.scripts] viztracer = "viztracer.main:main" vizviewer = "viztracer.viewer:viewer_main" [tool.setuptools.dynamic] version = {attr = "viztracer.__version__"} [tool.ruff] exclude = [ "src/viztracer/attach_process" ] [tool.ruff.lint] select = ["I"] [tool.ruff.format] quote-style = "double" [tool.pytest] junit_suite_name = "viztracer" ================================================ FILE: requirements-dev.txt ================================================ # Build Packages build setuptools wheel # Lint & Coverage ruff mypy coverage # Test pytest coredumpy # Devtools pystack; sys_platform == 'linux' and python_version < '3.13' psutil # 3rd party packages for test ipywidgets>8.0.5 loky>3.5.0 jaxlib; sys_platform != 'win32' and python_version < '3.11' ================================================ FILE: setup.py ================================================ import platform import sys import setuptools # Determine which attach binary to take into package package_data = { "viztracer": [ "html/*.js", "html/*.css", "html/*.html", "web_dist/*", "web_dist/*/*", "web_dist/*/*/*", "attach_process/__init__.py", "attach_process/add_code_to_python_process.py", "attach_process/LICENSE", ], } if sys.platform == "win32": package_data["viztracer"].extend( [ "attach_process/attach_x86.dll", "attach_process/attach_x86_64.dll", "attach_process/inject_dll.exe", "attach_process/inject_dll_amd64.exe", "attach_process/run_code_on_dllmain_amd64.dll", "attach_process/run_code_on_dllmain_x86.dll", ] ) if sys.platform == "darwin": package_data["viztracer"].extend( [ "attach_process/attach_x86_64.dylib", ] ) elif sys.platform in ("linux", "linux2"): if platform.machine() == "i686": package_data["viztracer"].extend( [ "attach_process/attach_linux_x86.so", ] ) elif platform.machine() == "x86_64": package_data["viztracer"].extend( [ "attach_process/attach_linux_amd64.so", ] ) setuptools.setup( packages=setuptools.find_namespace_packages("src"), package_dir={"": "src"}, package_data=package_data, ext_modules=[ setuptools.Extension( "viztracer.snaptrace", sources=[ "src/viztracer/modules/util.c", "src/viztracer/modules/eventnode.c", "src/viztracer/modules/quicktime.c", "src/viztracer/modules/snaptrace.c", "src/viztracer/modules/snaptrace_member.c", ], extra_compile_args={"win32": []}.get(sys.platform, ["-Werror", "-std=c99"]), extra_link_args={"win32": []}.get(sys.platform, ["-lpthread"]), ), setuptools.Extension( "viztracer.vcompressor", sources=[ "src/viztracer/modules/vcompressor/vcompressor.c", "src/viztracer/modules/vcompressor/vc_dump.c", ], extra_compile_args={"win32": []}.get( sys.platform, ["-Wno-unused-result", "-Werror", "-std=c99"] ), ), ], ) ================================================ FILE: src/viztracer/__init__.py ================================================ # Licensed under the Apache License: http://www.apache.org/licenses/LICENSE-2.0 # For details: https://github.com/gaogaotiantian/viztracer/blob/master/NOTICE.txt __version__ = "1.1.1" from .cellmagic import load_ipython_extension from .decorator import ignore_function, log_sparse, trace_and_save from .viztracer import VizTracer, get_tracer __all__ = [ "__version__", "VizTracer", "ignore_function", "trace_and_save", "log_sparse", "get_tracer", "load_ipython_extension", ] ================================================ FILE: src/viztracer/__main__.py ================================================ # Licensed under the Apache License: http://www.apache.org/licenses/LICENSE-2.0 # For details: https://github.com/gaogaotiantian/viztracer/blob/master/NOTICE.txt from .main import main if __name__ == "__main__": main() ================================================ FILE: src/viztracer/attach.py ================================================ # Licensed under the Apache License: http://www.apache.org/licenses/LICENSE-2.0 # For details: https://github.com/gaogaotiantian/viztracer/blob/master/NOTICE.txt import base64 import builtins import gc import json import sys from dataclasses import dataclass from .viztracer import VizTracer, get_tracer @dataclass class AttachStatus: created_tracer: bool save_path: str attached: bool attach_status = AttachStatus(created_tracer=False, save_path="", attached=False) def start_attach(init_kwargs_b64: str) -> None: init_kwargs = json.loads( base64.urlsafe_b64decode(init_kwargs_b64.encode("ascii")).decode("ascii") ) tracer = get_tracer() if tracer is None: attach_status.created_tracer = True tracer = VizTracer(**init_kwargs) elif tracer.enable: print("Can't attach when VizTracer is already running.", file=sys.stderr) return attach_status.attached = True attach_status.save_path = init_kwargs["output_file"] if tracer.verbose > 0: print("Detected attaching viztracer, start tracing.", flush=True) tracer.start() def stop_attach() -> None: if attach_status.attached: tracer = get_tracer() if tracer: tracer.stop() tracer.save(attach_status.save_path) if tracer.verbose > 0: print(f"Saved report to {attach_status.save_path}", flush=True) attach_status.attached = False if attach_status.created_tracer: tracer.stop() attach_status.created_tracer = False builtins.__dict__.pop("__viz_tracer__") gc.collect() attach_status.attached = False def uninstall_attach(): attach_status.created_tracer = False attach_status.save_path = "" attach_status.attached = False tracer = get_tracer() if tracer: tracer.stop() tracer.clear() builtins.__dict__.pop("__viz_tracer__") gc.collect() ================================================ FILE: src/viztracer/attach_process/LICENSE ================================================ Eclipse Public License - v 1.0 THE ACCOMPANYING PROGRAM IS PROVIDED UNDER THE TERMS OF THIS ECLIPSE PUBLIC LICENSE ("AGREEMENT"). 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Each party waives its rights to a jury trial in any resulting litigation. ================================================ FILE: src/viztracer/attach_process/README.txt ================================================ This folder is copied from https://github.com/fabioz/PyDev.Debugger Some print code in add_code_to_python_process.py is removed The code and the binary in this folder is under EPL 1.0 ================================================ FILE: src/viztracer/attach_process/__init__.py ================================================ ================================================ FILE: src/viztracer/attach_process/add_code_to_python_process.py ================================================ # type: ignore r''' Copyright: Brainwy Software Ltda. License: EPL. ============= Works for Windows by using an executable that'll inject a dll to a process and call a function. Note: https://github.com/fabioz/winappdbg is used just to determine if the target process is 32 or 64 bits. Works for Linux relying on gdb. Limitations: ============ Linux: ------ 1. It possible that ptrace is disabled: /etc/sysctl.d/10-ptrace.conf Note that even enabling it in /etc/sysctl.d/10-ptrace.conf (i.e.: making the ptrace_scope=0), it's possible that we need to run the application that'll use ptrace (or gdb in this case) as root (so, we must sudo the python which'll run this module). 2. It currently doesn't work in debug builds (i.e.: python_d) Other implementations: - pyrasite.com: GPL Windows/linux (in Linux it also uses gdb to connect -- although specifics are different as we use a dll to execute code with other threads stopped). It's Windows approach is more limited because it doesn't seem to deal properly with Python 3 if threading is disabled. - https://github.com/google/pyringe: Apache v2. Only linux/Python 2. - http://pytools.codeplex.com: Apache V2 Windows Only (but supports mixed mode debugging) Our own code relies heavily on a part of it: http://pytools.codeplex.com/SourceControl/latest#Python/Product/PyDebugAttach/PyDebugAttach.cpp to overcome some limitations of attaching and running code in the target python executable on Python 3. See: attach.cpp Linux: References if we wanted to use a pure-python debugger: https://bitbucket.org/haypo/python-ptrace/ http://stackoverflow.com/questions/7841573/how-to-get-an-error-message-for-errno-value-in-python Jugaad: https://www.defcon.org/images/defcon-19/dc-19-presentations/Jakhar/DEFCON-19-Jakhar-Jugaad-Linux-Thread-Injection.pdf https://github.com/aseemjakhar/jugaad Something else (general and not Python related): - http://www.codeproject.com/Articles/4610/Three-Ways-to-Inject-Your-Code-into-Another-Proces Other references: - https://github.com/haypo/faulthandler - http://nedbatchelder.com/text/trace-function.html - https://github.com/python-git/python/blob/master/Python/sysmodule.c (sys_settrace) - https://github.com/python-git/python/blob/master/Python/ceval.c (PyEval_SetTrace) - https://github.com/python-git/python/blob/master/Python/thread.c (PyThread_get_key_value) To build the dlls needed on windows, visual studio express 13 was used (see compile_dll.bat) See: attach_pydevd.py to attach the pydev debugger to a running python process. ''' # Note: to work with nasm compiling asm to code and decompiling to see asm with shellcode: # x:\nasm\nasm-2.07-win32\nasm-2.07\nasm.exe # nasm.asm&x:\nasm\nasm-2.07-win32\nasm-2.07\ndisasm.exe -b arch nasm import ctypes import os import struct import subprocess import sys import time from contextlib import contextmanager import platform import traceback try: TimeoutError = TimeoutError # @ReservedAssignment except NameError: class TimeoutError(RuntimeError): # @ReservedAssignment pass @contextmanager def _create_win_event(name): from winappdbg.win32.kernel32 import CreateEventA, WaitForSingleObject, CloseHandle manual_reset = False # i.e.: after someone waits it, automatically set to False. initial_state = False if not isinstance(name, bytes): name = name.encode('utf-8') event = CreateEventA(None, manual_reset, initial_state, name) if not event: raise ctypes.WinError() class _WinEvent(object): def wait_for_event_set(self, timeout=None): ''' :param timeout: in seconds ''' if timeout is None: timeout = 0xFFFFFFFF else: timeout = int(timeout * 1000) ret = WaitForSingleObject(event, timeout) if ret in (0, 0x80): return True elif ret == 0x102: # Timed out return False else: raise ctypes.WinError() try: yield _WinEvent() finally: CloseHandle(event) IS_WINDOWS = sys.platform == 'win32' IS_LINUX = sys.platform in ('linux', 'linux2') IS_MAC = sys.platform == 'darwin' def is_python_64bit(): return (struct.calcsize('P') == 8) def get_target_filename(is_target_process_64=None, prefix=None, extension=None): # Note: we have an independent (and similar -- but not equal) version of this method in # `pydevd_tracing.py` which should be kept synchronized with this one (we do a copy # because the `pydevd_attach_to_process` is mostly independent and shouldn't be imported in the # debugger -- the only situation where it's imported is if the user actually does an attach to # process, through `attach_pydevd.py`, but this should usually be called from the IDE directly # and not from the debugger). libdir = os.path.dirname(__file__) if is_target_process_64 is None: if IS_WINDOWS: # i.e.: On windows the target process could have a different bitness (32bit is emulated on 64bit). raise AssertionError("On windows it's expected that the target bitness is specified.") # For other platforms, just use the the same bitness of the process we're running in. is_target_process_64 = is_python_64bit() arch = '' if IS_WINDOWS: # prefer not using platform.machine() when possible (it's a bit heavyweight as it may # spawn a subprocess). arch = os.environ.get("PROCESSOR_ARCHITEW6432", os.environ.get('PROCESSOR_ARCHITECTURE', '')) if not arch: arch = platform.machine() if not arch: print('platform.machine() did not return valid value.') # This shouldn't happen... return None if IS_WINDOWS: if not extension: extension = '.dll' suffix_64 = 'amd64' suffix_32 = 'x86' elif IS_LINUX: if not extension: extension = '.so' suffix_64 = 'amd64' suffix_32 = 'x86' elif IS_MAC: if not extension: extension = '.dylib' suffix_64 = 'x86_64' suffix_32 = 'x86' else: print('Unable to attach to process in platform: %s', sys.platform) return None if arch.lower() not in ('amd64', 'x86', 'x86_64', 'i386', 'x86'): # We don't support this processor by default. Still, let's support the case where the # user manually compiled it himself with some heuristics. # # Ideally the user would provide a library in the format: "attach_." # based on the way it's currently compiled -- see: # - windows/compile_windows.bat # - linux_and_mac/compile_linux.sh # - linux_and_mac/compile_mac.sh try: found = [name for name in os.listdir(libdir) if name.startswith('attach_') and name.endswith(extension)] except: print('Error listing dir: %s' % (libdir,)) traceback.print_exc() return None if prefix: expected_name = prefix + arch + extension expected_name_linux = prefix + 'linux_' + arch + extension else: # Default is looking for the attach_ / attach_linux expected_name = 'attach_' + arch + extension expected_name_linux = 'attach_linux_' + arch + extension filename = None if expected_name in found: # Heuristic: user compiled with "attach_." filename = os.path.join(libdir, expected_name) elif IS_LINUX and expected_name_linux in found: # Heuristic: user compiled with "attach_linux_." filename = os.path.join(libdir, expected_name_linux) elif len(found) == 1: # Heuristic: user removed all libraries and just left his own lib. filename = os.path.join(libdir, found[0]) else: # Heuristic: there's one additional library which doesn't seem to be our own. Find the odd one. filtered = [name for name in found if not name.endswith((suffix_64 + extension, suffix_32 + extension))] if len(filtered) == 1: # If more than one is available we can't be sure... filename = os.path.join(libdir, found[0]) if filename is None: print( 'Unable to attach to process in arch: %s (did not find %s in %s).' % ( arch, expected_name, libdir ) ) return None print('Using %s in arch: %s.' % (filename, arch)) else: if is_target_process_64: suffix = suffix_64 else: suffix = suffix_32 if not prefix: # Default is looking for the attach_ / attach_linux if IS_WINDOWS or IS_MAC: # just the extension changes prefix = 'attach_' elif IS_LINUX: prefix = 'attach_linux_' # historically it has a different name else: print('Unable to attach to process in platform: %s' % (sys.platform,)) return None filename = os.path.join(libdir, '%s%s%s' % (prefix, suffix, extension)) if not os.path.exists(filename): print('Expected: %s to exist.' % (filename,)) return None return filename def run_python_code_windows(pid, python_code, connect_debugger_tracing=False, show_debug_info=0): assert '\'' not in python_code, 'Having a single quote messes with our command.' from winappdbg.process import Process if not isinstance(python_code, bytes): python_code = python_code.encode('utf-8') process = Process(pid) bits = process.get_bits() is_target_process_64 = bits == 64 # Note: this restriction no longer applies (we create a process with the proper bitness from # this process so that the attach works). # if is_target_process_64 != is_python_64bit(): # raise RuntimeError("The architecture of the Python used to connect doesn't match the architecture of the target.\n" # "Target 64 bits: %s\n" # "Current Python 64 bits: %s" % (is_target_process_64, is_python_64bit())) with _acquire_mutex('_pydevd_pid_attach_mutex_%s' % (pid,), 10): # print('--- Connecting to %s bits target (current process is: %s) ---' % (bits, 64 if is_python_64bit() else 32)) with _win_write_to_shared_named_memory(python_code, pid): target_executable = get_target_filename(is_target_process_64, 'inject_dll_', '.exe') if not target_executable: raise RuntimeError('Could not find expected .exe file to inject dll in attach to process.') target_dll = get_target_filename(is_target_process_64) if not target_dll: raise RuntimeError('Could not find expected .dll file in attach to process.') # print('\n--- Injecting attach dll: %s into pid: %s ---' % (os.path.basename(target_dll), pid)) args = [target_executable, str(pid), target_dll] subprocess.check_call(args) # Now, if the first injection worked, go on to the second which will actually # run the code. target_dll_run_on_dllmain = get_target_filename(is_target_process_64, 'run_code_on_dllmain_', '.dll') if not target_dll_run_on_dllmain: raise RuntimeError('Could not find expected .dll in attach to process.') with _create_win_event('_pydevd_pid_event_%s' % (pid,)) as event: # print('\n--- Injecting run code dll: %s into pid: %s ---' % (os.path.basename(target_dll_run_on_dllmain), pid)) args = [target_executable, str(pid), target_dll_run_on_dllmain] subprocess.check_call(args) if not event.wait_for_event_set(10): print('Timeout error: the attach may not have completed.') # print('--- Finished dll injection ---\n') return 0, b"", b"" @contextmanager def _acquire_mutex(mutex_name, timeout): ''' Only one process may be attaching to a pid, so, create a system mutex to make sure this holds in practice. ''' from winappdbg.win32.kernel32 import CreateMutex, GetLastError, CloseHandle from winappdbg.win32.defines import ERROR_ALREADY_EXISTS initial_time = time.time() while True: mutex = CreateMutex(None, True, mutex_name) acquired = GetLastError() != ERROR_ALREADY_EXISTS if acquired: break if time.time() - initial_time > timeout: raise TimeoutError('Unable to acquire mutex to make attach before timeout.') time.sleep(.2) try: yield finally: CloseHandle(mutex) @contextmanager def _win_write_to_shared_named_memory(python_code, pid): # Use the definitions from winappdbg when possible. from winappdbg.win32 import defines from winappdbg.win32.kernel32 import ( CreateFileMapping, MapViewOfFile, CloseHandle, UnmapViewOfFile, ) memmove = ctypes.cdll.msvcrt.memmove memmove.argtypes = [ ctypes.c_void_p, ctypes.c_void_p, defines.SIZE_T, ] memmove.restype = ctypes.c_void_p # Note: BUFSIZE must be the same from run_code_in_memory.hpp BUFSIZE = 2048 assert isinstance(python_code, bytes) assert len(python_code) > 0, 'Python code must not be empty.' # Note: -1 so that we're sure we'll add a \0 to the end. assert len(python_code) < BUFSIZE - 1, 'Python code must have at most %s bytes (found: %s)' % (BUFSIZE - 1, len(python_code)) python_code += b'\0' * (BUFSIZE - len(python_code)) assert python_code.endswith(b'\0') INVALID_HANDLE_VALUE = -1 PAGE_READWRITE = 0x4 FILE_MAP_WRITE = 0x2 filemap = CreateFileMapping( INVALID_HANDLE_VALUE, 0, PAGE_READWRITE, 0, BUFSIZE, u"__pydevd_pid_code_to_run__%s" % (pid,)) if filemap == INVALID_HANDLE_VALUE or filemap is None: raise Exception("Failed to create named file mapping (ctypes: CreateFileMapping): %s" % (filemap,)) try: view = MapViewOfFile(filemap, FILE_MAP_WRITE, 0, 0, 0) if not view: raise Exception("Failed to create view of named file mapping (ctypes: MapViewOfFile).") try: memmove(view, python_code, BUFSIZE) yield finally: UnmapViewOfFile(view) finally: CloseHandle(filemap) def run_python_code_linux(pid, python_code, connect_debugger_tracing=False, show_debug_info=0): assert '\'' not in python_code, 'Having a single quote messes with our command.' target_dll = get_target_filename() if not target_dll: raise RuntimeError('Could not find .so for attach to process.') target_dll_name = os.path.splitext(os.path.basename(target_dll))[0] # Note: we currently don't support debug builds is_debug = 0 # Note that the space in the beginning of each line in the multi-line is important! cmd = [ 'gdb', '--nw', # no gui interface '--nh', # no ~/.gdbinit '--nx', # no .gdbinit # '--quiet', # no version number on startup '--pid', str(pid), '--batch', # '--batch-silent', ] cmd.extend(["--eval-command='set scheduler-locking off'"]) # If on we'll deadlock. # Leave auto by default (it should do the right thing as we're attaching to a process in the # current host). cmd.extend(["--eval-command='set architecture auto'"]) cmd.extend([ "--eval-command='call (void*)dlopen(\"%s\", 2)'" % target_dll, "--eval-command='sharedlibrary %s'" % target_dll_name, "--eval-command='call (int)DoAttach(%s, \"%s\", %s)'" % ( is_debug, python_code, show_debug_info) ]) # print ' '.join(cmd) env = os.environ.copy() # Remove the PYTHONPATH (if gdb has a builtin Python it could fail if we # have the PYTHONPATH for a different python version or some forced encoding). env.pop('PYTHONIOENCODING', None) env.pop('PYTHONPATH', None) # print('Running: %s' % (' '.join(cmd))) p = subprocess.Popen( ' '.join(cmd), shell=True, env=env, stdout=subprocess.PIPE, stderr=subprocess.PIPE, ) # print('Running gdb in target process.') out, err = p.communicate() # print('stdout: %s' % (out,)) # print('stderr: %s' % (err,)) return p.returncode, out, err def find_helper_script(filedir, script_name): target_filename = os.path.join(filedir, 'linux_and_mac', script_name) target_filename = os.path.normpath(target_filename) if not os.path.exists(target_filename): raise RuntimeError('Could not find helper script: %s' % target_filename) return target_filename def run_python_code_mac(pid, python_code, connect_debugger_tracing=False, show_debug_info=0): assert '\'' not in python_code, 'Having a single quote messes with our command.' target_dll = get_target_filename() if not target_dll: raise RuntimeError('Could not find .dylib for attach to process.') libdir = os.path.dirname(__file__) lldb_prepare_file = find_helper_script(libdir, 'lldb_prepare.py') # Note: we currently don't support debug builds is_debug = 0 # Note that the space in the beginning of each line in the multi-line is important! cmd = [ 'lldb', '--no-lldbinit', # Do not automatically parse any '.lldbinit' files. # '--attach-pid', # str(pid), # '--arch', # arch, '--script-language', 'Python' # '--batch-silent', ] cmd.extend([ "-o 'process attach --pid %d'" % pid, "-o 'command script import \"%s\"'" % (lldb_prepare_file,), "-o 'load_lib_and_attach \"%s\" %s \"%s\" %s'" % (target_dll, is_debug, python_code, show_debug_info), ]) cmd.extend([ "-o 'process detach'", "-o 'script import os; os._exit(0)'", ]) # print ' '.join(cmd) env = os.environ.copy() # Remove the PYTHONPATH (if gdb has a builtin Python it could fail if we # have the PYTHONPATH for a different python version or some forced encoding). env.pop('PYTHONIOENCODING', None) env.pop('PYTHONPATH', None) # print('Running: %s' % (' '.join(cmd))) p = subprocess.Popen( ' '.join(cmd), shell=True, env=env, stdout=subprocess.PIPE, stderr=subprocess.PIPE, ) # print('Running lldb in target process.') out, err = p.communicate() # print('stdout: %s' % (out,)) # print('stderr: %s' % (err,)) return p.returncode, out, err if IS_WINDOWS: run_python_code = run_python_code_windows elif IS_MAC: run_python_code = run_python_code_mac elif IS_LINUX: run_python_code = run_python_code_linux else: def run_python_code(*args, **kwargs): print('Unable to attach to process in platform: %s', sys.platform) sys.path.append(os.path.dirname(__file__)) def test(): print('Running with: %s' % (sys.executable,)) code = ''' import os, time, sys print(os.getpid()) #from threading import Thread #Thread(target=str).start() if __name__ == '__main__': while True: time.sleep(.5) sys.stdout.write('.\\n') sys.stdout.flush() ''' p = subprocess.Popen([sys.executable, '-u', '-c', code]) try: code = 'print("It worked!")\n' # Real code will be something as: # code = '''import sys;sys.path.append(r'X:\winappdbg-code\examples'); import imported;''' run_python_code(p.pid, python_code=code) print('\nRun a 2nd time...\n') run_python_code(p.pid, python_code=code) time.sleep(3) finally: p.kill() def main(args): # Otherwise, assume the first parameter is the pid and anything else is code to be executed # in the target process. pid = int(args[0]) del args[0] python_code = ';'.join(args) # Note: on Linux the python code may not have a single quote char: ' run_python_code(pid, python_code) if __name__ == '__main__': args = sys.argv[1:] if not args: print('Expected pid and Python code to execute in target process.') else: if '--test' == args[0]: test() else: main(args) ================================================ FILE: src/viztracer/attach_process/linux_and_mac/lldb_prepare.py ================================================ # This file is meant to be run inside lldb # It registers command to load library and invoke attach function # Also it marks process threads to to distinguish them from debugger # threads later while settings trace in threads def load_lib_and_attach(debugger, command, result, internal_dict): import shlex args = shlex.split(command) dll = args[0] is_debug = args[1] python_code = args[2] show_debug_info = args[3] import lldb options = lldb.SBExpressionOptions() options.SetFetchDynamicValue() options.SetTryAllThreads(run_others=False) options.SetTimeoutInMicroSeconds(timeout=60000000) print(dll) target = debugger.GetSelectedTarget() res = target.EvaluateExpression("(void*)dlopen(\"%s\", 2);" % ( dll), options) error = res.GetError() if error: print(error) print(python_code) res = target.EvaluateExpression("(int)DoAttach(%s, \"%s\", %s);" % ( is_debug, python_code.replace('"', "'"), show_debug_info), options) error = res.GetError() if error: print(error) def __lldb_init_module(debugger, internal_dict): import lldb debugger.HandleCommand('command script add -f lldb_prepare.load_lib_and_attach load_lib_and_attach') try: target = debugger.GetSelectedTarget() if target: process = target.GetProcess() if process: for thread in process: # print('Marking process thread %d'%thread.GetThreadID()) internal_dict['_thread_%d' % thread.GetThreadID()] = True # thread.Suspend() except: import traceback;traceback.print_exc() ================================================ FILE: src/viztracer/cellmagic.py ================================================ # Licensed under the Apache License: http://www.apache.org/licenses/LICENSE-2.0 # For details: https://github.com/gaogaotiantian/viztracer/blob/master/NOTICE.txt def load_ipython_extension(ipython) -> None: """ Use `%load_ext viztracer` Lazy execute the following code because importing IPython is slow """ from IPython.core.magic import ( # type: ignore Magics, cell_magic, magics_class, needs_local_scope, ) from IPython.core.magic_arguments import ( # type: ignore argument, magic_arguments, parse_argstring, ) @magics_class class VizTracerMagics(Magics): @magic_arguments() @argument( "--port", "-p", default=9001, type=int, help="specify the port vizviewer will use", ) @argument( "--output_file", default="./viztracer_report.json", help="output file path. End with .json or .html or .gz", ) @argument( "--max_stack_depth", type=int, default=-1, help="maximum stack depth you want to trace.", ) @argument( "--ignore_c_function", action="store_true", default=False, help="ignore all c functions including most builtin functions and libraries", ) @argument( "--ignore_frozen", action="store_true", default=False, help="ignore all functions that are frozen(like import)", ) @argument( "--log_func_args", action="store_true", default=False, help="log all function arguments, this will introduce large overhead", ) @argument( "--log_print", action="store_true", default=False, help="replace all print() function to adding an event to the result", ) @argument( "--log_sparse", action="store_true", default=False, help="log only selected functions with @log_sparse", ) @needs_local_scope @cell_magic def viztracer(self, line, cell, local_ns) -> None: from IPython.display import display # type: ignore from ipywidgets import Button # type: ignore from .viewer import ServerThread from .viztracer import VizTracer options = parse_argstring(self.viztracer, line) assert self.shell is not None code = self.shell.transform_cell(cell) file_path = options.output_file tracer_kwargs = { "output_file": file_path, "verbose": 0, "max_stack_depth": options.max_stack_depth, "ignore_c_function": options.ignore_c_function, "ignore_frozen": options.ignore_frozen, "log_func_args": options.log_func_args, "log_print": options.log_print, "log_sparse": options.log_sparse, } with VizTracer(**tracer_kwargs): exec(code, local_ns, local_ns) def view(): # pragma: no cover server = ServerThread(file_path, port=options.port, once=True) server.start() server.ready.wait() import webbrowser webbrowser.open_new_tab(f"http://127.0.0.1:{server.port}") button = Button(description="VizTracer Report") button.on_click(lambda b: view()) display(button) ipython.register_magics(VizTracerMagics) ================================================ FILE: src/viztracer/code_monkey.py ================================================ # Licensed under the Apache License: http://www.apache.org/licenses/LICENSE-2.0 # For details: https://github.com/gaogaotiantian/viztracer/blob/master/NOTICE.txt import ast import copy import re from functools import reduce from typing import Any, Callable from .util import color_print class AstTransformer(ast.NodeTransformer): def __init__(self, inst_type: str, inst_args: dict[str, dict]) -> None: super().__init__() self.inst_type: str = inst_type self.inst_args: dict[str, dict] = inst_args self.curr_lineno: int = 0 self.log_func_exec_enable: bool = False def visit_Assign(self, node: ast.Assign) -> ast.stmt | list[ast.stmt]: return self._visit_generic_assign(node) def visit_AugAssign(self, node: ast.AugAssign) -> ast.stmt | list[ast.stmt]: return self._visit_generic_assign(node) def visit_AnnAssign(self, node: ast.AnnAssign) -> ast.stmt | list[ast.stmt]: return self._visit_generic_assign(node) def visit_FunctionDef(self, node: ast.FunctionDef) -> ast.FunctionDef: if self.inst_type == "log_func_exec": for funcname in self.inst_args["funcnames"]: if re.fullmatch(funcname, node.name): self.log_func_exec_enable = True elif self.inst_type == "log_func_entry": for funcname in self.inst_args["funcnames"]: if re.fullmatch(funcname, node.name): node.body.insert( 0, self.get_instrument_node("Function Entry", node.name) ) elif self.inst_type in ("log_var", "log_number"): instrumented_nodes: list[ast.stmt] = [] args = node.args func_args_name = [ a.arg for a in args.posonlyargs + args.args + args.kwonlyargs ] if "vararg" in args._fields and args.vararg: func_args_name.append(args.vararg.arg) if "kwarg" in args._fields and args.kwarg: func_args_name.append(args.kwarg.arg) for name in func_args_name: for pattern in self.inst_args["varnames"]: if re.fullmatch(pattern, name): instrumented_nodes.append( self.get_instrument_node("Variable Assign", name) ) break self.generic_visit(node) if self.inst_type == "log_func_exec": self.log_func_exec_enable = False elif self.inst_type in ("log_var", "log_number") and instrumented_nodes: node.body = instrumented_nodes + node.body return node def visit_For(self, node: ast.For) -> ast.For: if self.inst_type in ("log_var", "log_number"): instrumented_nodes = self.get_assign_log_nodes(node.target) self.generic_visit(node) if self.inst_type in ("log_var", "log_number"): if instrumented_nodes: node.body = instrumented_nodes + node.body return node def visit_Raise(self, node: ast.Raise) -> ast.AST | list[ast.AST]: if self.inst_type == "log_exception": instrument_node = self.get_instrument_node_by_node("Exception", node.exc) return [instrument_node, node] return node def _visit_generic_assign( self, node: ast.Assign | ast.AugAssign | ast.AnnAssign ) -> list[ast.stmt]: self.generic_visit(node) ret: list[ast.stmt] = [node] self.curr_lineno = node.lineno if self.inst_type in ("log_var", "log_number", "log_attr", "log_func_exec"): if isinstance(node, (ast.AugAssign, ast.AnnAssign)): instrumented_nodes = self.get_assign_log_nodes(node.target) if instrumented_nodes: ret.extend(instrumented_nodes) elif isinstance(node, ast.Assign): for target in node.targets: instrumented_nodes = self.get_assign_log_nodes(target) if instrumented_nodes: ret.extend(instrumented_nodes) return ret def get_assign_targets(self, node: ast.expr) -> list[str]: """ :param ast.Node node: """ if isinstance(node, ast.Name): return [node.id] elif isinstance(node, (ast.Attribute, ast.Subscript, ast.Starred)): return self.get_assign_targets(node.value) elif isinstance(node, ast.Tuple) or isinstance(node, ast.List): return reduce( lambda a, b: a + b, [self.get_assign_targets(elt) for elt in node.elts] ) color_print( "WARNING", "Unexpected node type {} for ast.Assign. \ Please report to the author github.com/gaogaotiantian/viztracer".format( type(node) ), ) return [] def get_assign_targets_with_attr(self, node: ast.AST) -> list[ast.Attribute]: """ :param ast.Node node: """ if isinstance(node, ast.Attribute): return [node] elif isinstance(node, (ast.Name, ast.Subscript, ast.Starred)): return [] elif isinstance(node, (ast.Tuple, ast.List)): return reduce( lambda a, b: a + b, [self.get_assign_targets_with_attr(elt) for elt in node.elts], ) color_print( "WARNING", "Unexpected node type {} for ast.Assign. \ Please report to the author github.com/gaogaotiantian/viztracer".format( type(node) ), ) return [] def get_assign_log_nodes(self, target: ast.expr) -> list[ast.stmt]: """ given a target of any type of Assign, return the instrumented node that log this variable if this target is not supposed to be logged, return [] """ ret: list[ast.stmt] = [] if self.inst_type in ("log_var", "log_number"): target_ids = self.get_assign_targets(target) for target_id in target_ids: for varname in self.inst_args["varnames"]: if re.fullmatch(varname, target_id): ret.append( self.get_instrument_node("Variable Assign", target_id) ) break elif self.inst_type == "log_attr": target_nodes = self.get_assign_targets_with_attr(target) for target_node in target_nodes: for varname in self.inst_args["varnames"]: if re.fullmatch(varname, target_node.attr): ret.append( self.get_instrument_node_by_node( "Attribute Assign", target_node ) ) break elif self.inst_type == "log_func_exec": if self.log_func_exec_enable: target_ids = self.get_assign_targets(target) for target_id in target_ids: ret.append(self.get_instrument_node("Variable Assign", target_id)) return ret def get_instrument_node(self, trigger: str, name: str) -> ast.Expr: if self.inst_type in ("log_var", "log_number"): if self.inst_type == "log_var": event = "instant" elif self.inst_type == "log_number": event = "counter" return self.get_add_variable_node( name=f"{trigger} - {name}", var_node=ast.Name(id=name, ctx=ast.Load()), event=event, ) elif self.inst_type == "log_func_exec": return self.get_add_func_exec_node( name=f"{name}", val=ast.Name(id=name, ctx=ast.Load()), lineno=self.curr_lineno, ) elif self.inst_type == "log_func_entry": return self.get_add_variable_node( name=f"{trigger} - {name}", var_node=ast.Constant(value=f"{name} is called"), event="instant", ) else: raise ValueError(f"{name} is not supported") def get_instrument_node_by_node( self, trigger: str, node: ast.expr | None ) -> ast.Expr: var_node: ast.expr if node is None: name = f"{trigger}" var_node = ast.Constant(value=None) else: name = f"{trigger} - {self.get_string_of_expr(node)}" var_node = self.copy_node_with_load(node) return self.get_add_variable_node( name=name, var_node=var_node, event="instant", ) def get_add_variable_node( self, name: str, var_node: ast.expr, event: str ) -> ast.Expr: node_instrument = ast.Expr( value=ast.Call( func=ast.Attribute( value=ast.Name(id="__viz_tracer__", ctx=ast.Load()), attr="add_variable", ctx=ast.Load(), ), args=[ ast.Constant(value=name), var_node, ast.Constant(value=event), ], keywords=[], ), ) return node_instrument def get_add_func_exec_node(self, name: str, val: ast.AST, lineno: int) -> ast.Expr: node_instrument = ast.Expr( value=ast.Call( func=ast.Attribute( value=ast.Name(id="__viz_tracer__", ctx=ast.Load()), attr="add_func_exec", ctx=ast.Load(), ), args=[ ast.Constant(value=name), ast.Name(id=name, ctx=ast.Load()), ast.Constant(value=lineno), ], keywords=[], ), ) return node_instrument def copy_node_with_load(self, node: ast.expr) -> ast.expr: """ copy the whole node tree but change all Store to Load """ new_node = copy.deepcopy(node) for n in ast.walk(new_node): # Fix Store to Load if "ctx" in n._fields and isinstance(n.ctx, ast.Store): # type: ignore n.ctx = ast.Load() # type: ignore return new_node def get_string_of_expr(self, node: ast.expr | ast.slice) -> str: """ Try to do "unparse" of the node """ if isinstance(node, ast.Name): return node.id elif isinstance(node, ast.Constant): return repr(node.value) elif isinstance(node, ast.Attribute): return f"{self.get_string_of_expr(node.value)}.{node.attr}" elif isinstance(node, ast.Subscript): return f"{self.get_string_of_expr(node.value)}[{self.get_string_of_expr(node.slice)}]" elif isinstance(node, ast.Call): return f"{self.get_string_of_expr(node.func)}()" elif isinstance(node, ast.Starred): return f"*{self.get_string_of_expr(node.value)}" elif isinstance(node, ast.Tuple): return f"({','.join([self.get_string_of_expr(elt) for elt in node.elts])})" elif isinstance(node, ast.List): return f"[{','.join([self.get_string_of_expr(elt) for elt in node.elts])}]" elif isinstance(node, ast.Slice): lower = ( self.get_string_of_expr(node.lower) if "lower" in node._fields and node.lower else "" ) upper = ( self.get_string_of_expr(node.upper) if "upper" in node._fields and node.upper else "" ) step = ( self.get_string_of_expr(node.step) if "step" in node._fields and node.step else "" ) if step: return f"{lower}:{upper}:{step}" elif upper: return f"{lower}:{upper}" else: return f"{lower}:" color_print( "WARNING", "Unexpected node type {} for ast.Assign. \ Please report to the author github.com/gaogaotiantian/viztracer".format( type(node) ), ) return "" class SourceProcessor: """ Pre-process comments like #!viztracer: log_instant("event") """ def process(self, source: Any): if isinstance(source, bytes): source = source.decode("utf-8") elif not isinstance(source, str): return source new_lines = [] for line in source.splitlines(): for pattern, transform in self.re_patterns: m = pattern.match(line) if m: new_lines.append(transform(self, m)) break else: new_lines.append(line) return "\n".join(new_lines) def line_transform(self, re_match: re.Match) -> str: return f"{re_match.group(1)}__viz_tracer__.{re_match.group(2)}" def line_transform_condition(self, re_match: re.Match) -> str: return f"{re_match.group(1)}if {re_match.group(3)}: __viz_tracer__.{re_match.group(2)};" def inline_transform(self, re_match: re.Match) -> str: stmt = re_match.group(1) if "=" in stmt: val_assigned = stmt[: stmt.index("=")].strip() return f"{stmt}; __viz_tracer__.log_var('{val_assigned}', ({val_assigned}))" return f"{stmt}; __viz_tracer__.log_instant('{stmt.strip()}')" def inline_transform_condition(self, re_match: re.Match) -> str: stmt = re_match.group(1) if "=" in stmt: val_assigned = stmt[: stmt.index("=")].strip() return f"{stmt}; __viz_tracer__.log_var('{val_assigned}', ({val_assigned}), cond={re_match.group(2)})" return f"{stmt}; __viz_tracer__.log_instant('{stmt.strip()}', cond={re_match.group(2)});" re_patterns = [ # !viztracer: log_var("var", var) (re.compile(r"(\s*)#\s*!viztracer:\s*(log_.*?\(.*\))\s*$"), line_transform), # a = 3 # !viztracer: log (re.compile(r"(.*\S.*)#\s*!viztracer:\s*log\s*$"), inline_transform), # !viztracer: log_var("var", var) if var > 3 ( re.compile(r"(\s*)#\s*!viztracer:\s*(log_.*?\(.*\))\s*if\s+(.*?)\s*$"), line_transform_condition, ), # a = 3 # !viztracer: log if a != 3 ( re.compile(r"(.*\S.*)#\s*!viztracer:\s*log\s*if\s+(.*?)\s*$"), inline_transform_condition, ), ] class CodeMonkey: def __init__(self, file_name: str) -> None: self.file_name: str = file_name self._compile: Callable = compile self.source_processor: SourceProcessor | None = None self.ast_transformers: list[AstTransformer] = [] def add_instrument(self, inst_type: str, inst_args: dict[str, dict]) -> None: self.ast_transformers.append(AstTransformer(inst_type, inst_args)) def add_source_processor(self) -> None: self.source_processor = SourceProcessor() def compile( self, source, filename, mode, flags=0, dont_inherit=False, optimize=-1, *, _feature_version=-1, ): if self.source_processor is not None: source = self.source_processor.process(source) if self.ast_transformers: tree = self._compile( source, filename, mode, flags | ast.PyCF_ONLY_AST, dont_inherit, optimize, _feature_version=_feature_version, ) for trans in self.ast_transformers: trans.visit(tree) ast.fix_missing_locations(tree) return self._compile( tree, filename, mode, flags, dont_inherit, optimize, _feature_version=_feature_version, ) return self._compile( source, filename, mode, flags, dont_inherit, optimize, _feature_version=_feature_version, ) ================================================ FILE: src/viztracer/decorator.py ================================================ # Licensed under the Apache License: http://www.apache.org/licenses/LICENSE-2.0 # For details: https://github.com/gaogaotiantian/viztracer/blob/master/NOTICE.txt import functools import multiprocessing import os import time from typing import Any, Callable, TypeVar, overload from .viztracer import VizTracer, get_tracer R = TypeVar("R") @overload def ignore_function( method: None, tracer: VizTracer | None = None ) -> Callable[[Callable[..., R]], Callable[..., R]]: pass # pragma: no cover @overload def ignore_function( method: Callable[..., R], tracer: VizTracer | None = None ) -> Callable[..., R]: pass # pragma: no cover def ignore_function( method: Callable[..., R] | None = None, tracer: VizTracer | None = None ) -> Callable[..., R] | Callable[[Callable[..., R]], Callable[..., R]]: def inner(func: Callable[..., R]) -> Callable[..., R]: @functools.wraps(func) def ignore_wrapper(*args, **kwargs) -> Any: # We need this to keep trace a local variable t = tracer if not t: t = get_tracer() if not t: raise NameError("ignore_function only works with global tracer") t.pause() ret = func(*args, **kwargs) t.resume() return ret return ignore_wrapper if method: return inner(method) return inner @overload def trace_and_save( method: None, output_dir: str = "./", **viztracer_kwargs ) -> Callable[[Callable[..., R]], Callable[..., R]]: pass # pragma: no cover @overload def trace_and_save( method: Callable[..., R], output_dir: str = "./", **viztracer_kwargs ) -> Callable[..., R]: pass # pragma: no cover def trace_and_save( method: Callable[..., R] | None = None, output_dir: str = "./", **viztracer_kwargs ) -> Callable[..., R] | Callable[[Callable[..., R]], Callable[..., R]]: def inner(func: Callable[..., R]) -> Callable[..., R]: @functools.wraps(func) def wrapper(*args, **kwargs) -> Any: tracer = VizTracer(**viztracer_kwargs) tracer.start() ret = func(*args, **kwargs) tracer.stop() if not os.path.exists(output_dir): os.mkdir(output_dir) file_name = os.path.join( output_dir, f"result_{func.__name__}_{int(100000 * time.time())}.json" ) if ( multiprocessing.get_start_method() == "fork" and not multiprocessing.current_process().daemon ): tracer.fork_save(file_name) else: tracer.save(file_name) tracer.clear() return ret return wrapper if method: return inner(method) return inner def _log_sparse_wrapper( func: Callable, stack_depth: int = 0, dynamic_tracer_check: bool = False ) -> Callable: if not dynamic_tracer_check: tracer = get_tracer() if tracer is None or not tracer.log_sparse: return func @functools.wraps(func) def wrapper(*args, **kwargs) -> Any: local_tracer = get_tracer() if dynamic_tracer_check else tracer if local_tracer is None: return func(*args, **kwargs) assert isinstance(local_tracer, VizTracer) if local_tracer.log_sparse and not local_tracer.enable: if stack_depth > 0: orig_max_stack_depth = local_tracer.max_stack_depth local_tracer.max_stack_depth = stack_depth local_tracer.log_sparse = False local_tracer.start() ret = func(*args, **kwargs) local_tracer.stop() local_tracer.log_sparse = True local_tracer.max_stack_depth = orig_max_stack_depth return ret else: start = local_tracer.getts() ret = func(*args, **kwargs) dur = local_tracer.getts() - start code = func.__code__ raw_data = { "ph": "X", "name": f"{code.co_name} ({code.co_filename}:{code.co_firstlineno})", "ts": start, "dur": dur, "cat": "FEE", } local_tracer.add_raw(raw_data) return ret elif local_tracer.enable and not local_tracer.log_sparse: # The call is made from the module inside, so if `trace_self=False` it will be ignored. # To avoid this behavior, we need to reset the counter `ignore_stack_depth`` and then # recover it return local_tracer.shield_ignore(func, *args, **kwargs) else: return func(*args, **kwargs) return wrapper @overload def log_sparse( func: None, stack_depth: int = 0, dynamic_tracer_check: bool = False ) -> Callable[[Callable[..., R]], Callable[..., R]]: pass # pragma: no cover @overload def log_sparse( func: Callable[..., R], stack_depth: int = 0, dynamic_tracer_check: bool = False ) -> Callable[..., R]: pass # pragma: no cover def log_sparse( func: Callable[..., R] | None = None, stack_depth: int = 0, dynamic_tracer_check: bool = False, ) -> Callable[..., R] | Callable[[Callable[..., R]], Callable[..., R]]: if func is None: return functools.partial( _log_sparse_wrapper, stack_depth=stack_depth, dynamic_tracer_check=dynamic_tracer_check, ) return _log_sparse_wrapper( func=func, stack_depth=stack_depth, dynamic_tracer_check=dynamic_tracer_check ) ================================================ FILE: src/viztracer/event_base.py ================================================ # Licensed under the Apache License: http://www.apache.org/licenses/LICENSE-2.0 # For details: https://github.com/gaogaotiantian/viztracer/blob/master/NOTICE.txt import functools from typing import Any, Callable, Literal from .viztracer import VizTracer class _EventBase: def __init__(self, tracer: VizTracer, name: str = "", **kwargs) -> None: self._viztracer_tracer: VizTracer = tracer self._viztracer_name: str = name self._viztracer_enable: bool = False self._viztracer_config: dict = { "trigger_on_change": True, "include_attributes": [], "exclude_attributes": [], } for key in kwargs: if key in self._viztracer_config: self._viztracer_config[key] = kwargs[key] self._viztracer_enable = True def __setattr__(self, name: str, value: Any) -> None: self.__dict__[name] = value if not name.startswith("_"): if self._viztracer_enable and self._viztracer_config["trigger_on_change"]: if self._viztracer_config["include_attributes"]: if name in self._viztracer_config["include_attributes"]: self._viztracer_log() elif self._viztracer_config["exclude_attributes"]: if name not in self._viztracer_config["exclude_attributes"]: self._viztracer_log() else: self._viztracer_log() def _viztracer_get_attr_list(self) -> list[str]: if self._viztracer_config["include_attributes"]: return self._viztracer_config["include_attributes"] else: return [ attr for attr in self.__dir__() if not attr.startswith("_") and attr not in self._viztracer_config["exclude_attributes"] ] def _viztracer_set_config(self, key: str, value: Any) -> None: if key not in self._viztracer_config: raise ValueError(f"No config named {key}") self._viztracer_config[key] = value def config(self, key: str, value: Any) -> None: self._viztracer_set_config(key, value) def _viztracer_log(self) -> None: raise NotImplementedError("You should not use _EventBase class directly") def log(self) -> None: self._viztracer_log() @staticmethod def triggerlog( method: Callable | None = None, when: Literal["after", "before", "both"] = "after", ) -> Callable: if when not in ["after", "before", "both"]: raise ValueError( f"when has to be one of 'after', 'before' or 'both', not {when}" ) def inner(func: Callable) -> Callable: @functools.wraps(func) def wrapper(self, *args, **kwargs) -> Any: if when in ("before", "both"): self._viztracer_log() ret = func(self, *args, **kwargs) if when in ("after", "both"): self._viztracer_log() return ret return wrapper if method: return inner(method) return inner ================================================ FILE: src/viztracer/functree.py ================================================ # Licensed under the Apache License: http://www.apache.org/licenses/LICENSE-2.0 # For details: https://github.com/gaogaotiantian/viztracer/blob/master/NOTICE.txt import bisect import copy import re from typing import Any, Generator class FuncTreeNode: name_regex = r"(.*) \((.*?):([0-9]+)\)" def __init__(self, event: dict[str, Any] | None = None) -> None: self.filename: str | None = None self.lineno: int | None = None self.is_python: bool | None = False self.funcname: str | None = None self.parent: FuncTreeNode | None = None self.children: list[FuncTreeNode] = [] self.start: float = -(2**64) self.end: float = 2**64 self.event: dict[str, Any] = {} if event is None: self.event = {"name": "__ROOT__"} self.fullname = "__ROOT__" else: self.event = copy.copy(event) self.start = self.event["ts"] self.end = self.event["ts"] + self.event["dur"] self.fullname = self.event["name"] m = re.match(self.name_regex, self.fullname) if m: self.is_python = True self.funcname = m.group(1) self.filename = m.group(2) self.lineno = int(m.group(3)) def is_ancestor(self, other: "FuncTreeNode") -> bool: return self.start < other.start and self.end > other.end def is_same(self, other: "FuncTreeNode") -> bool: return ( self.fullname == other.fullname and len(self.children) == len(other.children) and all(t[0].is_same(t[1]) for t in zip(self.children, other.children)) ) def adopt(self, other: "FuncTreeNode") -> None: new_children = [] if self.is_ancestor(other): # Build a list is slow # In almost all cases, end_idx should be the last, because that's # how we record entries. # In many cases, if two entries are siblings, start_idx is the # last too. # Try to skip building the list by checking these common situations # first. if not self.children: # if it's empty, then both indexes are 0 start_idx = end_idx = 0 else: if other.start > self.children[-1].start: start_idx = len(self.children) elif other.start < self.children[0].start: start_idx = 0 else: start_array = [n.start for n in self.children] start_idx = bisect.bisect(start_array, other.start) if other.end > self.children[-1].end: end_idx = len(self.children) else: end_array = [n.end for n in self.children] end_idx = bisect.bisect(end_array, other.end) if start_idx == end_idx + 1: self.children[end_idx].adopt(other) elif start_idx == end_idx: other.parent = self self.children.insert(start_idx, other) elif start_idx < end_idx: def change_parent(node): node.parent = other new_children = self.children[start_idx:end_idx] # force map to run list(map(change_parent, new_children)) other.children = new_children other.parent = self self.children = ( self.children[:start_idx] + [other] + self.children[end_idx:] ) else: # pragma: no cover raise Exception("This should not be possible") elif self.parent is not None: self.parent.adopt(other) else: # pragma: no cover raise Exception("This should not be possible") class FuncTree: # pragma: no cover def __init__(self, pid: int = 0, tid: int = 0) -> None: self.root: FuncTreeNode = FuncTreeNode() self.curr: FuncTreeNode = self.root self.pid: int = pid self.tid: int = tid def is_same(self, other: "FuncTree") -> bool: return self.root.is_same(other.root) def add_event(self, event: dict[str, Any]) -> None: node = FuncTreeNode(event) self.curr.adopt(node) self.curr = node def first_ts(self) -> float: return self.root.children[0].event["ts"] def first_node(self) -> FuncTreeNode: return self.root.children[0] def node_by_timestamp(self, ts: float) -> FuncTreeNode: starts = [node.start for node in self.root.children] idx = bisect.bisect(starts, ts) if idx == 0: return self.root.children[0] else: return self.root.children[idx - 1] def normalize(self, first_ts: float) -> None: for node in self.inorder_traverse(): node.start -= first_ts node.end -= first_ts def inorder_traverse(self) -> Generator[FuncTreeNode, None, None]: lst = [self.root] while lst: ret = lst.pop() lst.extend(ret.children[::-1]) yield ret return ================================================ FILE: src/viztracer/html/LICENSE ================================================ // Copyright (c) 2012 The Chromium Authors. All rights reserved. // // Redistribution and use in source and binary forms, with or without // modification, are permitted provided that the following conditions are // met: // // * Redistributions of source code must retain the above copyright // notice, this list of conditions and the following disclaimer. // * Redistributions in binary form must reproduce the above // copyright notice, this list of conditions and the following disclaimer // in the documentation and/or other materials provided with the // distribution. // * Neither the name of Google Inc. nor the names of its // contributors may be used to endorse or promote products derived from // this software without specific prior written permission. // // THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS // "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT // LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR // A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT // OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, // SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT // LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, // DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY // THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT // (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE // OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. ================================================ FILE: src/viztracer/html/README.md ================================================ trace_viewer_embedder.html and trace_viewer_full.html are derived from https://github.com/catapult-project/catapult/ ================================================ FILE: src/viztracer/html/flamegraph.html ================================================
================================================ FILE: src/viztracer/html/trace_viewer_embedder.html ================================================ $trace_viewer_full ================================================ FILE: src/viztracer/html/trace_viewer_full.html ================================================ ================================================ FILE: src/viztracer/main.py ================================================ # Licensed under the Apache License: http://www.apache.org/licenses/LICENSE-2.0 # For details: https://github.com/gaogaotiantian/viztracer/blob/master/NOTICE.txt import argparse import atexit import base64 import builtins import io import json import multiprocessing.util # type: ignore import os import platform import signal import sys import tempfile import threading import time import types from types import CodeType from typing import Any from . import __version__ from .code_monkey import CodeMonkey from .report_builder import ReportBuilder from .util import ( color_print, frame_stack_has_func, pid_exists, same_line_print, time_str_to_us, unique_file_name, ) from .viztracer import VizTracer # For all the procedures in VizUI, return a tuple as the result # The first element bool indicates whether the procedure succeeds # The second element is the error message if it fails. VizProcedureResult = tuple[bool, str | None] class VizUI: def __init__(self) -> None: self.tracer: VizTracer | None = None self.parser: argparse.ArgumentParser = self.create_parser() self.verbose: int = 1 self.ofile: str = "result.json" self.options: argparse.Namespace = argparse.Namespace() self.args: list[str] = [] self._exiting: bool = False self.multiprocess_output_dir: str = tempfile.mkdtemp() self.cwd: str = os.getcwd() def create_parser(self) -> argparse.ArgumentParser: parser = argparse.ArgumentParser(prog="python -m viztracer") parser.add_argument( "--version", action="version", version=__version__, help="show version of viztracer", ) parser.add_argument( "-c", "--cmd_string", nargs="?", default=None, help="program passed in as string", ) parser.add_argument( "--rcfile", nargs="?", default=None, help="specify rcfile for viztracer" ) parser.add_argument( "--tracer_entries", nargs="?", type=int, default=1000000, help="size of circular buffer. How many entries can it store", ) filename_group = parser.add_mutually_exclusive_group() filename_group.add_argument( "--output_file", "-o", nargs="?", default=None, help="output file path. End with .json or .html or .gz", ) filename_group.add_argument( "--unique_output_file", "-u", action="store_true", default=False, help="Use a unique file name for each run", ) parser.add_argument( "--output_dir", nargs="?", default=None, help="output directory. Should only be used when --pid_suffix is used", ) parser.add_argument( "--file_info", action="store_true", default=False, help=argparse.SUPPRESS ) parser.add_argument( "--quiet", action="store_true", default=False, help="stop VizTracer from printing anything", ) parser.add_argument( "--trace_self", action="store_true", default=False, help=argparse.SUPPRESS ) parser.add_argument( "--plugins", nargs="*", default=[], help="specify plugins for VizTracer" ) parser.add_argument( "--max_stack_depth", nargs="?", type=int, default=-1, help="maximum stack depth you want to trace.", ) parser.add_argument( "--min_duration", nargs="?", default="0", help="minimum duration of function to log", ) parser.add_argument( "--exclude_files", nargs="*", default=None, help=( "specify the files(directories) you want to exclude from tracing. " "Can't be used with --include_files" ), ) parser.add_argument( "--include_files", nargs="*", default=None, help=( "specify the only files(directories) you want to include from tracing. " "Can't be used with --exclude_files" ), ) parser.add_argument( "--ignore_c_function", action="store_true", default=False, help="ignore all c functions including most builtin functions and libraries", ) parser.add_argument( "--ignore_frozen", action="store_true", default=False, help="ignore all functions that are frozen(like import)", ) parser.add_argument( "--log_exit", action="store_true", default=False, help="log functions in exit functions like atexit", ) parser.add_argument( "--log_func_retval", action="store_true", default=False, help="log return value of the function in the report", ) parser.add_argument( "--log_func_with_objprint", action="store_true", default=False, help="use objprint for function argument and return value", ) parser.add_argument( "--log_print", action="store_true", default=False, help="replace all print() function to adding an event to the result", ) parser.add_argument( "--log_sparse", action="store_true", default=False, help="log only selected functions with @log_sparse", ) parser.add_argument( "--log_func_args", action="store_true", default=False, help="log all function arguments, this will introduce large overhead", ) parser.add_argument( "--log_gc", action="store_true", default=False, help="log ref cycle garbage collection operations", ) parser.add_argument( "--log_torch", action="store_true", default=False, help="log all the supported torch events together with the trace", ) parser.add_argument( "--log_var", nargs="*", default=None, help="log variable with specified names", ) parser.add_argument( "--log_number", nargs="*", default=None, help="log variable with specified names as a number(using VizCounter)", ) parser.add_argument( "--log_attr", nargs="*", default=None, help="log attribute with specified names", ) parser.add_argument( "--log_audit", nargs="*", default=None, help="log audit when audit event is raised, takes regex", ) parser.add_argument( "--log_func_exec", nargs="*", default=None, help="log execution of function with specified names", ) parser.add_argument( "--log_func_entry", nargs="*", default=None, help="log entry of the function with specified names", ) parser.add_argument( "--log_exception", action="store_true", default=False, help="log all exception when it's raised", ) parser.add_argument( "--log_subprocess", action="store_true", default=False, help=argparse.SUPPRESS, ) parser.add_argument( "--report_endpoint", default=None, help="The endpoint to report the trace data to, in the format of host:port", ) parser.add_argument( "--dump_raw", action="store_true", default=False, help=argparse.SUPPRESS ) parser.add_argument( "--sanitize_function_name", action="store_true", default=False, help="Sanitize logged function names to enforce utf-8 encoding", ) parser.add_argument( "--log_multiprocess", action="store_true", default=False, help=argparse.SUPPRESS, ) parser.add_argument( "--log_async", action="store_true", default=False, help="log as async format", ) parser.add_argument( "--ignore_multiprocess", action="store_true", default=False, help="Do not log any process other than the main process", ) parser.add_argument( "--magic_comment", action="store_true", default=False, help="Process VizTracer specific comments", ) parser.add_argument( "--minimize_memory", action="store_true", default=False, help="Use json.dump to dump chunks to file to save memory", ) parser.add_argument( "--pid_suffix", action="store_true", default=False, help=( "append pid to file name. " "This should be used when you try to trace multi process programs. " "Will by default generate json files" ), ) parser.add_argument( "--module", "-m", nargs="?", default=None, help="run module with VizTracer" ) parser.add_argument( "--patch_only", action="store_true", default=False, help=argparse.SUPPRESS ) parser.add_argument( "--compress", nargs="?", default=None, help="Compress a json report to a compact cvf format", ) parser.add_argument( "--decompress", nargs="?", default=None, help="Decompress a compressed cvf file to a json format", ) parser.add_argument( "--combine", nargs="*", default=[], help=( "combine all json reports to a single report. " "Specify all the json reports you want to combine" ), ) parser.add_argument( "--align_combine", nargs="*", default=[], help=( "combine all json reports to a single report and align them from the start " "Specify all the json reports you want to combine" ), ) parser.add_argument( "--open", action="store_true", default=False, help="open the report in browser after saving", ) parser.add_argument( "--report_server", nargs="?", default=None, const="", help="start a report server to collect reports from multiple VizTracer instances", ) parser.add_argument( "--attach", type=int, nargs="?", default=-1, help="pid of Python process to trace", ) parser.add_argument( "--attach_installed", type=int, nargs="?", default=-1, help="pid of Python process with VizTracer installed", ) parser.add_argument( "--uninstall", type=int, nargs="?", default=-1, help="pid of Python process with VizTracer to be uninstalled", ) parser.add_argument( "-t", type=float, nargs="?", default=-1, help="time you want to trace the process", ) return parser def load_config_file(self, filename: str = ".viztracerrc") -> argparse.Namespace: ret = argparse.Namespace() if os.path.exists(filename): import configparser cfg_parser = configparser.ConfigParser() cfg_parser.read(filename) if "default" not in cfg_parser: raise ValueError("Config file does not contain [default] section") for action in self.parser._actions: if hasattr(action, "dest") and action.dest in cfg_parser["default"]: convert = action.type if action.type is not None else str if not callable(convert): # This only happens when action.type is not None but not a callable # This should not happen in normal case raise ValueError( f"Invalid action type {action.type}" ) # pragma: no cover if action.nargs == 0: setattr(ret, action.dest, action.const) elif action.nargs is None or action.nargs == "?": if action.type is bool: # pragma: no cover # VizTracer does not have any option that belongs to this case # store_true/store_false has nargs == 0, this only happens # when it's a store, but with type == bool setattr( ret, action.dest, cfg_parser["default"].getboolean(action.dest), ) else: setattr( ret, action.dest, convert(cfg_parser["default"][action.dest]), ) else: setattr( ret, action.dest, [ convert(val) for val in cfg_parser["default"][action.dest] .strip() .split() ], ) else: if filename != ".viztracerrc": # User specified name, raise error raise FileNotFoundError(f"{filename} does not exist") return ret def parse(self, argv: list[str]) -> VizProcedureResult: # If -- or --run exists, all the commands after --/--run are the commands we need to run # We need to filter those out, they might conflict with our arguments idx: int | None = None if "--" in argv[1:]: idx = argv.index("--") elif "--run" in argv[1:]: idx = argv.index("--run") rcfile_parser = argparse.ArgumentParser(add_help=False) rcfile_parser.add_argument("--rcfile", nargs="?", default=".viztracerrc") rc_options, _ = rcfile_parser.parse_known_args(argv[1:]) default_namespace = self.load_config_file(rc_options.rcfile) if idx is not None: options, command = ( self.parser.parse_args(argv[1:idx], namespace=default_namespace), argv[idx + 1 :], ) self.args = argv[1:idx] else: options, command = self.parser.parse_known_args( argv[1:], namespace=default_namespace ) self.args = [elem for elem in argv[1:] if elem not in command] if options.quiet: self.verbose = 0 if options.unique_output_file: exec_name = "python" if options.module: exec_name = options.module elif command: exec_name = command[0] self.ofile = unique_file_name(exec_name) if options.output_file: if not options.compress and not options.output_file.endswith( (".json", ".html", ".gz") ): return False, "Only html, json and gz are supported" self.ofile = options.output_file elif options.pid_suffix: self.ofile = "result.json" if options.output_dir: if not os.path.exists(options.output_dir): os.mkdir(options.output_dir) self.ofile = os.path.join(options.output_dir, self.ofile) if options.log_multiprocess or options.log_subprocess: # pragma: no cover color_print( "WARNING", "--log_multiprocess and --log_subprocess are no longer needed to trace multi-process program", ) try: min_duration = time_str_to_us(options.min_duration) except ValueError: return ( False, f"Can't convert {options.min_duration} to time. Format should be 0.3ms or 13us", ) if options.log_torch: try: import torch # type: ignore # noqa: F401 except ImportError: return False, "torch is not installed" if options.report_server is not None: configs = [] if "|" in options.report_server: endpoint, config_str = options.report_server.split("|") if config_str: configs = config_str.split(",") else: endpoint = options.report_server if endpoint and ":" not in endpoint: return False, "report_server endpoint should be in host:port format" for config in configs: if config not in ["append_newline"]: return False, f"Unknown report_server config: {config}" self.options, self.command = options, command self.init_kwargs = { "tracer_entries": options.tracer_entries, "verbose": self.verbose, "output_file": self.ofile, "max_stack_depth": options.max_stack_depth, "exclude_files": options.exclude_files, "include_files": options.include_files, "ignore_c_function": options.ignore_c_function, "ignore_frozen": options.ignore_frozen, "ignore_multiprocess": options.ignore_multiprocess, "log_func_retval": options.log_func_retval, "log_func_args": options.log_func_args, "log_func_with_objprint": options.log_func_with_objprint, "log_print": options.log_print, "log_gc": options.log_gc, "log_sparse": options.log_sparse, "log_async": options.log_async, "log_audit": options.log_audit, "log_torch": options.log_torch, "pid_suffix": options.pid_suffix, "file_info": False, "register_global": True, "report_endpoint": options.report_endpoint, "plugins": options.plugins, "trace_self": options.trace_self, "min_duration": min_duration, "sanitize_function_name": options.sanitize_function_name, "dump_raw": True, "minimize_memory": options.minimize_memory, "process_name": None, } return True, None def search_file(self, file_name: str) -> str | None: if os.path.isfile(file_name): return file_name # search file in $PATH if "PATH" in os.environ: if sys.platform in ["linux", "linux2", "darwin"]: path_sep = ":" elif sys.platform in ["win32"]: path_sep = ";" else: # pragma: no cover return None for dir_name in os.environ["PATH"].split(path_sep): candidate = os.path.join(dir_name, file_name) if os.path.isfile(candidate): return candidate return None def run(self) -> VizProcedureResult: if self.options.attach > 0: return self.attach() elif self.options.attach_installed > 0: return self.attach_installed() elif self.options.uninstall > 0: return self.uninstall() elif self.options.report_server is not None: return self.run_report_server() elif self.options.cmd_string is not None: return self.run_string() elif self.options.module is not None: return self.run_module() elif self.command: return self.run_command() elif self.options.compress: return self.run_compress() elif self.options.decompress: return self.run_decompress() elif self.options.combine: return self.run_combine(files=self.options.combine) elif self.options.align_combine: return self.run_combine(files=self.options.align_combine, align=True) else: self.parser.print_help() return True, None def run_report_server(self) -> VizProcedureResult: from .report_server import ReportServer server = ReportServer( output_file=self.ofile, minimize_memory=self.options.minimize_memory, verbose=self.verbose, endpoint=self.options.report_server, ) server.run() return True, None def run_code( self, code: CodeType | str, global_dict: dict[str, Any] ) -> VizProcedureResult: options = self.options self.parent_pid = os.getpid() if options.report_endpoint is not None: if options.cmd_string is not None: self.init_kwargs["process_name"] = "python -c" else: self.init_kwargs["process_name"] = sys.argv[0] tracer = VizTracer(**self.init_kwargs) self.tracer = tracer if options.patch_only: from .patch import install_all_hooks install_all_hooks(tracer) exec(code, global_dict) return True, None def term_handler(signalnum, frame): # Exit if we are not already doing exit routine if not frame_stack_has_func( frame, ( self.exit_routine, tracer.exit_routine, multiprocessing.util._exit_function, ), ): sys.exit(0) signal.signal(signal.SIGTERM, term_handler) multiprocessing.util.Finalize(self, self.exit_routine, exitpriority=-1) tracer.start() exec(code, global_dict) if not options.log_exit: tracer.stop(stop_option="flush_as_finish") # issue141 - concurrent.future requires a proper release by executing # threading._threading_atexits or it will deadlock if not explicitly # release the resource in the code # Python 3.9+ has this issue if threading._threading_atexits: # type: ignore for atexit_call in reversed(threading._threading_atexits): # type: ignore atexit_call() threading._threading_atexits = [] # type: ignore return True, None def run_module(self) -> VizProcedureResult: import runpy code = "run_module(modname, run_name='__main__', alter_sys=True)" global_dict = { "run_module": runpy.run_module, "modname": self.options.module, } sys.argv = [self.options.module] + self.command[:] sys.path.insert(0, os.getcwd()) return self.run_code(code, global_dict) def run_string(self) -> VizProcedureResult: cmd_string = self.options.cmd_string main_mod = types.ModuleType("__main__") setattr(main_mod, "__file__", "") setattr(main_mod, "__builtins__", globals()["__builtins__"]) # __mp_main__ should be a duplicate of __main__ for pickle sys.modules["__main__"] = sys.modules["__mp_main__"] = main_mod code = compile(cmd_string, "", "exec") sys.argv = ["-c"] + self.command[:] return self.run_code(code, main_mod.__dict__) def run_command(self) -> VizProcedureResult: command = self.command options = self.options file_name = command[0] search_result = self.search_file(file_name) if not search_result: return False, f"No such file as {file_name}" if file_name.endswith(".json"): return ( False, f'viztracer can\'t run json file, did you mean "vizviewer {file_name}"?', ) file_name = search_result with io.open_code(file_name) as f: code_string = f.read() if ( options.magic_comment or options.log_var or options.log_number or options.log_attr or options.log_func_exec or options.log_exception or options.log_func_entry ): monkey = CodeMonkey(file_name) if options.magic_comment: monkey.add_source_processor() if options.log_var: monkey.add_instrument("log_var", {"varnames": options.log_var}) if options.log_number: monkey.add_instrument("log_number", {"varnames": options.log_number}) if options.log_attr: monkey.add_instrument("log_attr", {"varnames": options.log_attr}) if options.log_func_exec: monkey.add_instrument( "log_func_exec", {"funcnames": options.log_func_exec} ) if options.log_func_entry: monkey.add_instrument( "log_func_entry", {"funcnames": options.log_func_entry} ) if options.log_exception: monkey.add_instrument("log_exception", {}) builtins.compile = monkey.compile # type: ignore main_mod = types.ModuleType("__main__") setattr(main_mod, "__file__", os.path.abspath(file_name)) setattr(main_mod, "__builtins__", globals()["__builtins__"]) # __mp_main__ should be a duplicate of __main__ for pickle sys.modules["__main__"] = sys.modules["__mp_main__"] = main_mod code = compile(code_string, os.path.abspath(file_name), "exec") sys.path.insert(0, os.path.dirname(file_name)) sys.argv = command[:] return self.run_code(code, main_mod.__dict__) def run_compress(self): file_to_compress = self.options.compress if not file_to_compress or not os.path.exists(file_to_compress): return False, f"Unable to find file {file_to_compress}" if not file_to_compress.endswith(".json"): return False, "Only support compressing json report" if not self.options.output_file: output_file = "result.cvf" else: output_file = self.options.output_file from viztracer.vcompressor import VCompressor compressor = VCompressor() with open(file_to_compress) as f: data = json.load(f) compressor.compress(data, output_file) return True, None def run_decompress(self): file_to_decompress = self.options.decompress if not file_to_decompress or not os.path.exists(file_to_decompress): return False, f"Unable to find file {file_to_decompress}" if not self.options.output_file: output_file = "result.json" else: output_file = self.options.output_file from viztracer.vcompressor import VCompressor compressor = VCompressor() data = compressor.decompress(file_to_decompress) with open(output_file, "w") as f: json.dump(data, f) return True, None def run_combine(self, files: list[str], align: bool = False) -> VizProcedureResult: options = self.options builder = ReportBuilder( files, align=align, minimize_memory=options.minimize_memory ) if options.output_file: ofile = options.output_file else: ofile = "result.json" builder.save(output_file=ofile) return True, None def _check_attach_availability(self) -> tuple[bool, str | None]: if sys.platform == "win32": return False, "VizTracer does not support this feature on Windows" if sys.platform == "darwin" and "arm" in platform.processor(): return False, "VizTracer does not support this feature on Apple Silicon" if sys.platform == "darwin" and sys.version_info >= (3, 11): color_print( "WARNING", "Warning: attach may not work on 3.11+ on Mac due to hardened runtime", ) return True, None def attach(self) -> VizProcedureResult: from .attach_process.add_code_to_python_process import ( # type: ignore run_python_code, ) pid = self.options.attach interval = self.options.t success, err_msg = self._check_attach_availability() if not success: return False, err_msg if not pid_exists(pid): return False, f"pid {pid} does not exist!" # If we are doing attach, we need to clean init_kwargs first self.init_kwargs.update( { "output_file": os.path.abspath(self.ofile), "pid_suffix": False, "file_info": True, "register_global": True, "dump_raw": False, "verbose": 1 if self.verbose != 0 else 0, } ) b64s = base64.urlsafe_b64encode( json.dumps(self.init_kwargs).encode("ascii") ).decode("ascii") start_code = ( f'import viztracer.attach; viztracer.attach.start_attach(\\"{b64s}\\")' ) stop_code = "viztracer.attach.stop_attach()" ( retcode, _, _, ) = run_python_code(pid, start_code) if retcode != 0: # pragma: no cover return False, f"Failed to inject code [err {retcode}]" self._wait_attach(interval) retcode, _, _ = run_python_code(pid, stop_code) if retcode != 0: # pragma: no cover return False, f"Failed to inject code [err {retcode}]" print("Use the following command to open the report:") color_print("OKGREEN", f"vizviewer {self.init_kwargs['output_file']}") return True, None def uninstall(self) -> VizProcedureResult: from .attach_process.add_code_to_python_process import ( # type: ignore run_python_code, ) pid = self.options.uninstall success, err_msg = self._check_attach_availability() if not success: return False, err_msg if not pid_exists(pid): return False, f"pid {pid} does not exist!" stop_code = "import viztracer.attach; viztracer.attach.uninstall_attach()" retcode, _, _ = run_python_code(pid, stop_code) if retcode != 0: # pragma: no cover return False, f"Failed to inject code [err {retcode}]" return True, None def attach_installed(self) -> VizProcedureResult: success, err_msg = self._check_attach_availability() if not success: return False, err_msg pid = self.options.attach_installed interval = self.options.t try: os.kill(pid, signal.SIGUSR1) except OSError: return False, f"pid {pid} does not exist" self._wait_attach(interval) try: os.kill(pid, signal.SIGUSR2) except OSError: # pragma: no cover return False, f"pid {pid} already finished" return True, None def _wait_attach(self, interval: float) -> None: # interval == 0 means waiting for CTRL+C try: if interval > 0: print(f"Attach success, collect trace after {interval}s", flush=True) time.sleep(interval) else: print( "Attach success, press CTRL+C to stop and save report", flush=True ) while True: time.sleep(0.1) except KeyboardInterrupt: pass def exit_routine(self) -> None: if self.tracer is not None: if not self._exiting: self._exiting = True if self.verbose > 0: same_line_print("Saving trace data, this could take a while") self.tracer.exit_routine() if self.options.open: # pragma: no cover import subprocess subprocess.run( [ sys.executable, "-m", "viztracer.viewer", "--once", os.path.abspath(self.ofile), ] ) def main(): ui = VizUI() success, err_msg = ui.parse(sys.argv) if not success: print(err_msg) sys.exit(1) try: success, err_msg = ui.run() if not success: print(err_msg) sys.exit(1) finally: atexit._run_exitfuncs() ================================================ FILE: src/viztracer/modules/eventnode.c ================================================ // Licensed under the Apache License: http://www.apache.org/licenses/LICENSE-2.0 // For details: https://github.com/gaogaotiantian/viztracer/blob/master/NOTICE.txt #include #include #include "pythoncapi_compat.h" #include "eventnode.h" void clear_node(struct EventNode* node) { switch (node->ntype) { case FEE_NODE: if (node->data.fee.type == PyTrace_CALL || node->data.fee.type == PyTrace_RETURN) { Py_CLEAR(node->data.fee.code); Py_CLEAR(node->data.fee.args); Py_CLEAR(node->data.fee.retval); } else { node->data.fee.ml_name = NULL; if (node->data.fee.m_module) { // The function belongs to a module Py_CLEAR(node->data.fee.m_module); } else { // The function is a class method if (node->data.fee.tp_name) { // It's not a static method, has __self__ node->data.fee.tp_name = NULL; } } } Py_CLEAR(node->data.fee.asyncio_task); break; case INSTANT_NODE: Py_CLEAR(node->data.instant.name); Py_CLEAR(node->data.instant.args); Py_CLEAR(node->data.instant.scope); break; case COUNTER_NODE: Py_CLEAR(node->data.counter.name); Py_CLEAR(node->data.counter.args); break; case OBJECT_NODE: Py_CLEAR(node->data.object.ph); Py_CLEAR(node->data.object.id); Py_CLEAR(node->data.object.name); Py_CLEAR(node->data.object.args); break; case RAW_NODE: Py_CLEAR(node->data.raw); break; default: printf("Unknown Node Type When Clearing!\n"); exit(1); } } // This will return a PyUnicode object to the caller // The caller is responsible to decrease the reference // name_set is an initialized set to keep // formatted names to save memory PyObject* get_name_from_fee_node(struct EventNode* node, PyObject* name_dict) { assert(PyDict_Check(name_dict)); PyObject* name = NULL; PyObject* ret = NULL; // We create the name first. However, this name might already exists // before. To save memory usage, we check if this name exists in name_dict // If it does, we use the one in name_dict and delete this one. // This way, for entries that has the same name, we won't create multiple // string instances if (node->data.fee.type == PyTrace_CALL || node->data.fee.type == PyTrace_RETURN) { name = PyUnicode_FromFormat( "%s (%s:%d)", #if PY_VERSION_HEX >= 0x030B0000 PyUnicode_Check(node->data.fee.code->co_qualname) ? PyUnicode_AsUTF8(node->data.fee.code->co_qualname): "", #else PyUnicode_Check(node->data.fee.code->co_name) ? PyUnicode_AsUTF8(node->data.fee.code->co_name): "", #endif PyUnicode_Check(node->data.fee.code->co_filename) ? PyUnicode_AsUTF8(node->data.fee.code->co_filename): "", node->data.fee.code->co_firstlineno); } else { if (node->data.fee.m_module) { // The function belongs to a module name = PyUnicode_FromFormat( "%s.%s", PyUnicode_Check(node->data.fee.m_module) ? PyUnicode_AsUTF8(node->data.fee.m_module) : "", node->data.fee.ml_name); } else { // The function is a class method if (node->data.fee.tp_name) { // It's not a static method, has __self__ name = PyUnicode_FromFormat("%s.%s", node->data.fee.tp_name, node->data.fee.ml_name); } else { // It's a static method, does not have __self__ name = PyUnicode_FromFormat("%s", node->data.fee.ml_name); } } } if (PyDict_Contains(name_dict, name)) { ret = Py_NewRef(PyDict_GetItem(name_dict, name)); Py_DECREF(name); } else { // return name, so don't DECREF it PyDict_SetItem(name_dict, name, name); ret = name; } return ret; } static void fputs_escape(const char* s, FILE* fptr) { while (*s != 0) { if (*s == '\\' || *s == '\"') { fputc('\\', fptr); } fputc(*s, fptr); s++; } } void fprintfeename(FILE* fptr, struct EventNode* node, uint8_t sanitize_function_name) { if (node->data.fee.type == PyTrace_CALL || node->data.fee.type == PyTrace_RETURN) { #if PY_VERSION_HEX >= 0x030B0000 if (PyUnicode_Check(node->data.fee.code->co_qualname)) { fputs(PyUnicode_AsUTF8(node->data.fee.code->co_qualname), fptr); } else { fputs("", fptr); } #else if (PyUnicode_Check(node->data.fee.code->co_name)) { fputs(PyUnicode_AsUTF8(node->data.fee.code->co_name), fptr); } else { fputs("", fptr); } #endif fputs(" (", fptr); if (PyUnicode_Check(node->data.fee.code->co_filename)) { fputs_escape(PyUnicode_AsUTF8(node->data.fee.code->co_filename), fptr); } else { fputs("", fptr); } fprintf(fptr, ":%d)", node->data.fee.code->co_firstlineno); } else { const char* ml_name = node->data.fee.ml_name; if (sanitize_function_name) { const char *c = ml_name; while (*c != '\0') { if(!Py_UNICODE_ISPRINTABLE(*c)) { ml_name = NULL; break; } c ++; } } if (node->data.fee.m_module) { // The function belongs to a module if (PyUnicode_Check(node->data.fee.m_module)) { fputs(PyUnicode_AsUTF8(node->data.fee.m_module), fptr); } else { fputs("", fptr); } fputc('.', fptr); } else { // The function is a class method if (node->data.fee.tp_name) { // It's not a static method, has __self__ fputs(node->data.fee.tp_name, fptr); fputc('.', fptr); } else { // It's a static method, does not have __self__ } } // We will have to put ml_name at the end anyway. if (ml_name) { fputs(ml_name, fptr); } } } ================================================ FILE: src/viztracer/modules/eventnode.h ================================================ // Licensed under the Apache License: http://www.apache.org/licenses/LICENSE-2.0 // For details: https://github.com/gaogaotiantian/viztracer/blob/master/NOTICE.txt #ifndef __EVENTNODE_H__ #define __EVENTNODE_H__ #include typedef enum _NodeType { EVENT_NODE = 0, FEE_NODE = 1, INSTANT_NODE = 2, COUNTER_NODE = 3, OBJECT_NODE = 4, RAW_NODE = 5 } NodeType; struct FEEData { PyObject* args; PyObject* retval; union { struct { PyObject* m_module; const char* ml_name; const char* tp_name; }; PyCodeObject* code; }; int type; int64_t dur; PyObject* asyncio_task; }; struct InstantData { PyObject* name; PyObject* args; PyObject* scope; }; struct CounterData { PyObject* name; PyObject* args; }; struct ObjectData { PyObject* name; PyObject* args; PyObject* id; PyObject* ph; }; struct EventNode { NodeType ntype; int64_t ts; unsigned long tid; union { struct FEEData fee; struct InstantData instant; struct CounterData counter; struct ObjectData object; PyObject* raw; } data; }; // ==== Functions ==== // Clear the node, release reference void clear_node(struct EventNode* node); // get name from FEE node, passing in a dictionary for name cache PyObject* get_name_from_fee_node(struct EventNode* node, PyObject* name_dict); void fprintfeename(FILE*, struct EventNode* node, uint8_t sanitize_function_name); #endif ================================================ FILE: src/viztracer/modules/pythoncapi_compat.h ================================================ // Header file providing new C API functions to old Python versions. // // File distributed under the Zero Clause BSD (0BSD) license. // Copyright Contributors to the pythoncapi_compat project. // // Homepage: // https://github.com/python/pythoncapi_compat // // Latest version: // https://raw.githubusercontent.com/python/pythoncapi-compat/main/pythoncapi_compat.h // // SPDX-License-Identifier: 0BSD #ifndef PYTHONCAPI_COMPAT #define PYTHONCAPI_COMPAT #ifdef __cplusplus extern "C" { #endif #include // Python 3.11.0b4 added PyFrame_Back() to Python.h #if PY_VERSION_HEX < 0x030b00B4 && !defined(PYPY_VERSION) # include "frameobject.h" // PyFrameObject, PyFrame_GetBack() #endif #ifndef _Py_CAST # define _Py_CAST(type, expr) ((type)(expr)) #endif // Static inline functions should use _Py_NULL rather than using directly NULL // to prevent C++ compiler warnings. On C23 and newer and on C++11 and newer, // _Py_NULL is defined as nullptr. #if (defined (__STDC_VERSION__) && __STDC_VERSION__ > 201710L) \ || (defined(__cplusplus) && __cplusplus >= 201103) # define _Py_NULL nullptr #else # define _Py_NULL NULL #endif // Cast argument to PyObject* type. #ifndef _PyObject_CAST # define _PyObject_CAST(op) _Py_CAST(PyObject*, op) #endif #ifndef Py_BUILD_ASSERT # define Py_BUILD_ASSERT(cond) \ do { \ (void)sizeof(char [1 - 2 * !(cond)]); \ } while(0) #endif // bpo-42262 added Py_NewRef() to Python 3.10.0a3 #if PY_VERSION_HEX < 0x030A00A3 && !defined(Py_NewRef) static inline PyObject* _Py_NewRef(PyObject *obj) { Py_INCREF(obj); return obj; } #define Py_NewRef(obj) _Py_NewRef(_PyObject_CAST(obj)) #endif // bpo-42262 added Py_XNewRef() to Python 3.10.0a3 #if PY_VERSION_HEX < 0x030A00A3 && !defined(Py_XNewRef) static inline PyObject* _Py_XNewRef(PyObject *obj) { Py_XINCREF(obj); return obj; } #define Py_XNewRef(obj) _Py_XNewRef(_PyObject_CAST(obj)) #endif // bpo-39573 added Py_SET_REFCNT() to Python 3.9.0a4 #if PY_VERSION_HEX < 0x030900A4 && !defined(Py_SET_REFCNT) static inline void _Py_SET_REFCNT(PyObject *ob, Py_ssize_t refcnt) { ob->ob_refcnt = refcnt; } #define Py_SET_REFCNT(ob, refcnt) _Py_SET_REFCNT(_PyObject_CAST(ob), refcnt) #endif // Py_SETREF() and Py_XSETREF() were added to Python 3.5.2. // It is excluded from the limited C API. #if (PY_VERSION_HEX < 0x03050200 && !defined(Py_SETREF)) && !defined(Py_LIMITED_API) #define Py_SETREF(dst, src) \ do { \ PyObject **_tmp_dst_ptr = _Py_CAST(PyObject**, &(dst)); \ PyObject *_tmp_dst = (*_tmp_dst_ptr); \ *_tmp_dst_ptr = _PyObject_CAST(src); \ Py_DECREF(_tmp_dst); \ } while (0) #define Py_XSETREF(dst, src) \ do { \ PyObject **_tmp_dst_ptr = _Py_CAST(PyObject**, &(dst)); \ PyObject *_tmp_dst = (*_tmp_dst_ptr); \ *_tmp_dst_ptr = _PyObject_CAST(src); \ Py_XDECREF(_tmp_dst); \ } while (0) #endif // bpo-43753 added Py_Is(), Py_IsNone(), Py_IsTrue() and Py_IsFalse() // to Python 3.10.0b1. #if PY_VERSION_HEX < 0x030A00B1 && !defined(Py_Is) # define Py_Is(x, y) ((x) == (y)) #endif #if PY_VERSION_HEX < 0x030A00B1 && !defined(Py_IsNone) # define Py_IsNone(x) Py_Is(x, Py_None) #endif #if (PY_VERSION_HEX < 0x030A00B1 || defined(PYPY_VERSION)) && !defined(Py_IsTrue) # define Py_IsTrue(x) Py_Is(x, Py_True) #endif #if (PY_VERSION_HEX < 0x030A00B1 || defined(PYPY_VERSION)) && !defined(Py_IsFalse) # define Py_IsFalse(x) Py_Is(x, Py_False) #endif // bpo-39573 added Py_SET_TYPE() to Python 3.9.0a4 #if PY_VERSION_HEX < 0x030900A4 && !defined(Py_SET_TYPE) static inline void _Py_SET_TYPE(PyObject *ob, PyTypeObject *type) { ob->ob_type = type; } #define Py_SET_TYPE(ob, type) _Py_SET_TYPE(_PyObject_CAST(ob), type) #endif // bpo-39573 added Py_SET_SIZE() to Python 3.9.0a4 #if PY_VERSION_HEX < 0x030900A4 && !defined(Py_SET_SIZE) static inline void _Py_SET_SIZE(PyVarObject *ob, Py_ssize_t size) { ob->ob_size = size; } #define Py_SET_SIZE(ob, size) _Py_SET_SIZE((PyVarObject*)(ob), size) #endif // bpo-40421 added PyFrame_GetCode() to Python 3.9.0b1 #if PY_VERSION_HEX < 0x030900B1 || defined(PYPY_VERSION) static inline PyCodeObject* PyFrame_GetCode(PyFrameObject *frame) { assert(frame != _Py_NULL); assert(frame->f_code != _Py_NULL); return _Py_CAST(PyCodeObject*, Py_NewRef(frame->f_code)); } #endif static inline PyCodeObject* _PyFrame_GetCodeBorrow(PyFrameObject *frame) { PyCodeObject *code = PyFrame_GetCode(frame); Py_DECREF(code); return code; } // bpo-40421 added PyFrame_GetBack() to Python 3.9.0b1 #if PY_VERSION_HEX < 0x030900B1 && !defined(PYPY_VERSION) static inline PyFrameObject* PyFrame_GetBack(PyFrameObject *frame) { assert(frame != _Py_NULL); return _Py_CAST(PyFrameObject*, Py_XNewRef(frame->f_back)); } #endif #if !defined(PYPY_VERSION) static inline PyFrameObject* _PyFrame_GetBackBorrow(PyFrameObject *frame) { PyFrameObject *back = PyFrame_GetBack(frame); Py_XDECREF(back); return back; } #endif // bpo-40421 added PyFrame_GetLocals() to Python 3.11.0a7 #if PY_VERSION_HEX < 0x030B00A7 && !defined(PYPY_VERSION) static inline PyObject* PyFrame_GetLocals(PyFrameObject *frame) { #if PY_VERSION_HEX >= 0x030400B1 if (PyFrame_FastToLocalsWithError(frame) < 0) { return NULL; } #else PyFrame_FastToLocals(frame); #endif return Py_NewRef(frame->f_locals); } #endif // bpo-40421 added PyFrame_GetGlobals() to Python 3.11.0a7 #if PY_VERSION_HEX < 0x030B00A7 && !defined(PYPY_VERSION) static inline PyObject* PyFrame_GetGlobals(PyFrameObject *frame) { return Py_NewRef(frame->f_globals); } #endif // bpo-40421 added PyFrame_GetBuiltins() to Python 3.11.0a7 #if PY_VERSION_HEX < 0x030B00A7 && !defined(PYPY_VERSION) static inline PyObject* PyFrame_GetBuiltins(PyFrameObject *frame) { return Py_NewRef(frame->f_builtins); } #endif // bpo-40421 added PyFrame_GetLasti() to Python 3.11.0b1 #if PY_VERSION_HEX < 0x030B00B1 && !defined(PYPY_VERSION) static inline int PyFrame_GetLasti(PyFrameObject *frame) { #if PY_VERSION_HEX >= 0x030A00A7 // bpo-27129: Since Python 3.10.0a7, f_lasti is an instruction offset, // not a bytes offset anymore. Python uses 16-bit "wordcode" (2 bytes) // instructions. if (frame->f_lasti < 0) { return -1; } return frame->f_lasti * 2; #else return frame->f_lasti; #endif } #endif // gh-91248 added PyFrame_GetVar() to Python 3.12.0a2 #if PY_VERSION_HEX < 0x030C00A2 && !defined(PYPY_VERSION) static inline PyObject* PyFrame_GetVar(PyFrameObject *frame, PyObject *name) { PyObject *locals, *value; locals = PyFrame_GetLocals(frame); if (locals == NULL) { return NULL; } #if PY_VERSION_HEX >= 0x03000000 value = PyDict_GetItemWithError(locals, name); #else value = _PyDict_GetItemWithError(locals, name); #endif Py_DECREF(locals); if (value == NULL) { if (PyErr_Occurred()) { return NULL; } #if PY_VERSION_HEX >= 0x03000000 PyErr_Format(PyExc_NameError, "variable %R does not exist", name); #else PyErr_SetString(PyExc_NameError, "variable does not exist"); #endif return NULL; } return Py_NewRef(value); } #endif // gh-91248 added PyFrame_GetVarString() to Python 3.12.0a2 #if PY_VERSION_HEX < 0x030C00A2 && !defined(PYPY_VERSION) static inline PyObject* PyFrame_GetVarString(PyFrameObject *frame, const char *name) { PyObject *name_obj, *value; #if PY_VERSION_HEX >= 0x03000000 name_obj = PyUnicode_FromString(name); #else name_obj = PyString_FromString(name); #endif if (name_obj == NULL) { return NULL; } value = PyFrame_GetVar(frame, name_obj); Py_DECREF(name_obj); return value; } #endif // bpo-39947 added PyThreadState_GetInterpreter() to Python 3.9.0a5 #if PY_VERSION_HEX < 0x030900A5 || defined(PYPY_VERSION) static inline PyInterpreterState * PyThreadState_GetInterpreter(PyThreadState *tstate) { assert(tstate != _Py_NULL); return tstate->interp; } #endif // bpo-40429 added PyThreadState_GetFrame() to Python 3.9.0b1 #if PY_VERSION_HEX < 0x030900B1 && !defined(PYPY_VERSION) static inline PyFrameObject* PyThreadState_GetFrame(PyThreadState *tstate) { assert(tstate != _Py_NULL); return _Py_CAST(PyFrameObject *, Py_XNewRef(tstate->frame)); } #endif #if !defined(PYPY_VERSION) static inline PyFrameObject* _PyThreadState_GetFrameBorrow(PyThreadState *tstate) { PyFrameObject *frame = PyThreadState_GetFrame(tstate); Py_XDECREF(frame); return frame; } #endif // bpo-39947 added PyInterpreterState_Get() to Python 3.9.0a5 #if PY_VERSION_HEX < 0x030900A5 || defined(PYPY_VERSION) static inline PyInterpreterState* PyInterpreterState_Get(void) { PyThreadState *tstate; PyInterpreterState *interp; tstate = PyThreadState_GET(); if (tstate == _Py_NULL) { Py_FatalError("GIL released (tstate is NULL)"); } interp = tstate->interp; if (interp == _Py_NULL) { Py_FatalError("no current interpreter"); } return interp; } #endif // bpo-39947 added PyInterpreterState_Get() to Python 3.9.0a6 #if 0x030700A1 <= PY_VERSION_HEX && PY_VERSION_HEX < 0x030900A6 && !defined(PYPY_VERSION) static inline uint64_t PyThreadState_GetID(PyThreadState *tstate) { assert(tstate != _Py_NULL); return tstate->id; } #endif // bpo-43760 added PyThreadState_EnterTracing() to Python 3.11.0a2 #if PY_VERSION_HEX < 0x030B00A2 && !defined(PYPY_VERSION) static inline void PyThreadState_EnterTracing(PyThreadState *tstate) { tstate->tracing++; #if PY_VERSION_HEX >= 0x030A00A1 tstate->cframe->use_tracing = 0; #else tstate->use_tracing = 0; #endif } #endif // bpo-43760 added PyThreadState_LeaveTracing() to Python 3.11.0a2 #if PY_VERSION_HEX < 0x030B00A2 && !defined(PYPY_VERSION) static inline void PyThreadState_LeaveTracing(PyThreadState *tstate) { int use_tracing = (tstate->c_tracefunc != _Py_NULL || tstate->c_profilefunc != _Py_NULL); tstate->tracing--; #if PY_VERSION_HEX >= 0x030A00A1 tstate->cframe->use_tracing = use_tracing; #else tstate->use_tracing = use_tracing; #endif } #endif // bpo-37194 added PyObject_CallNoArgs() to Python 3.9.0a1 // PyObject_CallNoArgs() added to PyPy 3.9.16-v7.3.11 #if !defined(PyObject_CallNoArgs) && PY_VERSION_HEX < 0x030900A1 static inline PyObject* PyObject_CallNoArgs(PyObject *func) { return PyObject_CallFunctionObjArgs(func, NULL); } #endif // bpo-39245 made PyObject_CallOneArg() public (previously called // _PyObject_CallOneArg) in Python 3.9.0a4 // PyObject_CallOneArg() added to PyPy 3.9.16-v7.3.11 #if !defined(PyObject_CallOneArg) && PY_VERSION_HEX < 0x030900A4 static inline PyObject* PyObject_CallOneArg(PyObject *func, PyObject *arg) { return PyObject_CallFunctionObjArgs(func, arg, NULL); } #endif // bpo-1635741 added PyModule_AddObjectRef() to Python 3.10.0a3 #if PY_VERSION_HEX < 0x030A00A3 static inline int PyModule_AddObjectRef(PyObject *module, const char *name, PyObject *value) { int res; if (!value && !PyErr_Occurred()) { // PyModule_AddObject() raises TypeError in this case PyErr_SetString(PyExc_SystemError, "PyModule_AddObjectRef() must be called " "with an exception raised if value is NULL"); return -1; } Py_XINCREF(value); res = PyModule_AddObject(module, name, value); if (res < 0) { Py_XDECREF(value); } return res; } #endif // bpo-40024 added PyModule_AddType() to Python 3.9.0a5 #if PY_VERSION_HEX < 0x030900A5 static inline int PyModule_AddType(PyObject *module, PyTypeObject *type) { const char *name, *dot; if (PyType_Ready(type) < 0) { return -1; } // inline _PyType_Name() name = type->tp_name; assert(name != _Py_NULL); dot = strrchr(name, '.'); if (dot != _Py_NULL) { name = dot + 1; } return PyModule_AddObjectRef(module, name, _PyObject_CAST(type)); } #endif // bpo-40241 added PyObject_GC_IsTracked() to Python 3.9.0a6. // bpo-4688 added _PyObject_GC_IS_TRACKED() to Python 2.7.0a2. #if PY_VERSION_HEX < 0x030900A6 && !defined(PYPY_VERSION) static inline int PyObject_GC_IsTracked(PyObject* obj) { return (PyObject_IS_GC(obj) && _PyObject_GC_IS_TRACKED(obj)); } #endif // bpo-40241 added PyObject_GC_IsFinalized() to Python 3.9.0a6. // bpo-18112 added _PyGCHead_FINALIZED() to Python 3.4.0 final. #if PY_VERSION_HEX < 0x030900A6 && PY_VERSION_HEX >= 0x030400F0 && !defined(PYPY_VERSION) static inline int PyObject_GC_IsFinalized(PyObject *obj) { PyGC_Head *gc = _Py_CAST(PyGC_Head*, obj) - 1; return (PyObject_IS_GC(obj) && _PyGCHead_FINALIZED(gc)); } #endif // bpo-39573 added Py_IS_TYPE() to Python 3.9.0a4 #if PY_VERSION_HEX < 0x030900A4 && !defined(Py_IS_TYPE) static inline int _Py_IS_TYPE(PyObject *ob, PyTypeObject *type) { return Py_TYPE(ob) == type; } #define Py_IS_TYPE(ob, type) _Py_IS_TYPE(_PyObject_CAST(ob), type) #endif // bpo-46906 added PyFloat_Pack2() and PyFloat_Unpack2() to Python 3.11a7. // bpo-11734 added _PyFloat_Pack2() and _PyFloat_Unpack2() to Python 3.6.0b1. // Python 3.11a2 moved _PyFloat_Pack2() and _PyFloat_Unpack2() to the internal // C API: Python 3.11a2-3.11a6 versions are not supported. #if 0x030600B1 <= PY_VERSION_HEX && PY_VERSION_HEX <= 0x030B00A1 && !defined(PYPY_VERSION) static inline int PyFloat_Pack2(double x, char *p, int le) { return _PyFloat_Pack2(x, (unsigned char*)p, le); } static inline double PyFloat_Unpack2(const char *p, int le) { return _PyFloat_Unpack2((const unsigned char *)p, le); } #endif // bpo-46906 added PyFloat_Pack4(), PyFloat_Pack8(), PyFloat_Unpack4() and // PyFloat_Unpack8() to Python 3.11a7. // Python 3.11a2 moved _PyFloat_Pack4(), _PyFloat_Pack8(), _PyFloat_Unpack4() // and _PyFloat_Unpack8() to the internal C API: Python 3.11a2-3.11a6 versions // are not supported. #if PY_VERSION_HEX <= 0x030B00A1 && !defined(PYPY_VERSION) static inline int PyFloat_Pack4(double x, char *p, int le) { return _PyFloat_Pack4(x, (unsigned char*)p, le); } static inline int PyFloat_Pack8(double x, char *p, int le) { return _PyFloat_Pack8(x, (unsigned char*)p, le); } static inline double PyFloat_Unpack4(const char *p, int le) { return _PyFloat_Unpack4((const unsigned char *)p, le); } static inline double PyFloat_Unpack8(const char *p, int le) { return _PyFloat_Unpack8((const unsigned char *)p, le); } #endif // gh-92154 added PyCode_GetCode() to Python 3.11.0b1 #if PY_VERSION_HEX < 0x030B00B1 && !defined(PYPY_VERSION) static inline PyObject* PyCode_GetCode(PyCodeObject *code) { return Py_NewRef(code->co_code); } #endif // gh-95008 added PyCode_GetVarnames() to Python 3.11.0rc1 #if PY_VERSION_HEX < 0x030B00C1 && !defined(PYPY_VERSION) static inline PyObject* PyCode_GetVarnames(PyCodeObject *code) { return Py_NewRef(code->co_varnames); } #endif // gh-95008 added PyCode_GetFreevars() to Python 3.11.0rc1 #if PY_VERSION_HEX < 0x030B00C1 && !defined(PYPY_VERSION) static inline PyObject* PyCode_GetFreevars(PyCodeObject *code) { return Py_NewRef(code->co_freevars); } #endif // gh-95008 added PyCode_GetCellvars() to Python 3.11.0rc1 #if PY_VERSION_HEX < 0x030B00C1 && !defined(PYPY_VERSION) static inline PyObject* PyCode_GetCellvars(PyCodeObject *code) { return Py_NewRef(code->co_cellvars); } #endif // Py_UNUSED() was added to Python 3.4.0b2. #if PY_VERSION_HEX < 0x030400B2 && !defined(Py_UNUSED) # if defined(__GNUC__) || defined(__clang__) # define Py_UNUSED(name) _unused_ ## name __attribute__((unused)) # else # define Py_UNUSED(name) _unused_ ## name # endif #endif // gh-105922 added PyImport_AddModuleRef() to Python 3.13.0a1 #if PY_VERSION_HEX < 0x030D00A0 static inline PyObject* PyImport_AddModuleRef(const char *name) { return Py_XNewRef(PyImport_AddModule(name)); } #endif // gh-105927 added PyWeakref_GetRef() to Python 3.13.0a1 #if PY_VERSION_HEX < 0x030D0000 static inline int PyWeakref_GetRef(PyObject *ref, PyObject **pobj) { PyObject *obj; if (ref != NULL && !PyWeakref_Check(ref)) { *pobj = NULL; PyErr_SetString(PyExc_TypeError, "expected a weakref"); return -1; } obj = PyWeakref_GetObject(ref); if (obj == NULL) { // SystemError if ref is NULL *pobj = NULL; return -1; } if (obj == Py_None) { *pobj = NULL; return 0; } *pobj = Py_NewRef(obj); return (*pobj != NULL); } #endif // bpo-36974 added PY_VECTORCALL_ARGUMENTS_OFFSET to Python 3.8b1 #ifndef PY_VECTORCALL_ARGUMENTS_OFFSET # define PY_VECTORCALL_ARGUMENTS_OFFSET (_Py_CAST(size_t, 1) << (8 * sizeof(size_t) - 1)) #endif // bpo-36974 added PyVectorcall_NARGS() to Python 3.8b1 #if PY_VERSION_HEX < 0x030800B1 static inline Py_ssize_t PyVectorcall_NARGS(size_t n) { return n & ~PY_VECTORCALL_ARGUMENTS_OFFSET; } #endif // gh-105922 added PyObject_Vectorcall() to Python 3.9.0a4 #if PY_VERSION_HEX < 0x030900A4 static inline PyObject* PyObject_Vectorcall(PyObject *callable, PyObject *const *args, size_t nargsf, PyObject *kwnames) { #if PY_VERSION_HEX >= 0x030800B1 && !defined(PYPY_VERSION) // bpo-36974 added _PyObject_Vectorcall() to Python 3.8.0b1 return _PyObject_Vectorcall(callable, args, nargsf, kwnames); #else PyObject *posargs = NULL, *kwargs = NULL; PyObject *res; Py_ssize_t nposargs, nkwargs, i; if (nargsf != 0 && args == NULL) { PyErr_BadInternalCall(); goto error; } if (kwnames != NULL && !PyTuple_Check(kwnames)) { PyErr_BadInternalCall(); goto error; } nposargs = (Py_ssize_t)PyVectorcall_NARGS(nargsf); if (kwnames) { nkwargs = PyTuple_GET_SIZE(kwnames); } else { nkwargs = 0; } posargs = PyTuple_New(nposargs); if (posargs == NULL) { goto error; } if (nposargs) { for (i=0; i < nposargs; i++) { PyTuple_SET_ITEM(posargs, i, Py_NewRef(*args)); args++; } } if (nkwargs) { kwargs = PyDict_New(); if (kwargs == NULL) { goto error; } for (i = 0; i < nkwargs; i++) { PyObject *key = PyTuple_GET_ITEM(kwnames, i); PyObject *value = *args; args++; if (PyDict_SetItem(kwargs, key, value) < 0) { goto error; } } } else { kwargs = NULL; } res = PyObject_Call(callable, posargs, kwargs); Py_DECREF(posargs); Py_XDECREF(kwargs); return res; error: Py_DECREF(posargs); Py_XDECREF(kwargs); return NULL; #endif } #endif // gh-106521 added PyObject_GetOptionalAttr() and // PyObject_GetOptionalAttrString() to Python 3.13.0a1 #if PY_VERSION_HEX < 0x030D00A1 static inline int PyObject_GetOptionalAttr(PyObject *obj, PyObject *attr_name, PyObject **result) { // bpo-32571 added _PyObject_LookupAttr() to Python 3.7.0b1 #if PY_VERSION_HEX >= 0x030700B1 && !defined(PYPY_VERSION) return _PyObject_LookupAttr(obj, attr_name, result); #else *result = PyObject_GetAttr(obj, attr_name); if (*result != NULL) { return 1; } if (!PyErr_Occurred()) { return 0; } if (PyErr_ExceptionMatches(PyExc_AttributeError)) { PyErr_Clear(); return 0; } return -1; #endif } static inline int PyObject_GetOptionalAttrString(PyObject *obj, const char *attr_name, PyObject **result) { PyObject *name_obj; int rc; #if PY_VERSION_HEX >= 0x03000000 name_obj = PyUnicode_FromString(attr_name); #else name_obj = PyString_FromString(attr_name); #endif if (name_obj == NULL) { *result = NULL; return -1; } rc = PyObject_GetOptionalAttr(obj, name_obj, result); Py_DECREF(name_obj); return rc; } #endif // gh-106307 added PyObject_GetOptionalAttr() and // PyMapping_GetOptionalItemString() to Python 3.13.0a1 #if PY_VERSION_HEX < 0x030D00A1 static inline int PyMapping_GetOptionalItem(PyObject *obj, PyObject *key, PyObject **result) { *result = PyObject_GetItem(obj, key); if (*result) { return 1; } if (!PyErr_ExceptionMatches(PyExc_KeyError)) { return -1; } PyErr_Clear(); return 0; } static inline int PyMapping_GetOptionalItemString(PyObject *obj, const char *key, PyObject **result) { PyObject *key_obj; int rc; #if PY_VERSION_HEX >= 0x03000000 key_obj = PyUnicode_FromString(key); #else key_obj = PyString_FromString(key); #endif if (key_obj == NULL) { *result = NULL; return -1; } rc = PyMapping_GetOptionalItem(obj, key_obj, result); Py_DECREF(key_obj); return rc; } #endif // gh-108511 added PyMapping_HasKeyWithError() and // PyMapping_HasKeyStringWithError() to Python 3.13.0a1 #if PY_VERSION_HEX < 0x030D00A1 static inline int PyMapping_HasKeyWithError(PyObject *obj, PyObject *key) { PyObject *res; int rc = PyMapping_GetOptionalItem(obj, key, &res); Py_XDECREF(res); return rc; } static inline int PyMapping_HasKeyStringWithError(PyObject *obj, const char *key) { PyObject *res; int rc = PyMapping_GetOptionalItemString(obj, key, &res); Py_XDECREF(res); return rc; } #endif // gh-108511 added PyObject_HasAttrWithError() and // PyObject_HasAttrStringWithError() to Python 3.13.0a1 #if PY_VERSION_HEX < 0x030D00A1 static inline int PyObject_HasAttrWithError(PyObject *obj, PyObject *attr) { PyObject *res; int rc = PyObject_GetOptionalAttr(obj, attr, &res); Py_XDECREF(res); return rc; } static inline int PyObject_HasAttrStringWithError(PyObject *obj, const char *attr) { PyObject *res; int rc = PyObject_GetOptionalAttrString(obj, attr, &res); Py_XDECREF(res); return rc; } #endif // gh-106004 added PyDict_GetItemRef() and PyDict_GetItemStringRef() // to Python 3.13.0a1 #if PY_VERSION_HEX < 0x030D00A1 static inline int PyDict_GetItemRef(PyObject *mp, PyObject *key, PyObject **result) { #if PY_VERSION_HEX >= 0x03000000 PyObject *item = PyDict_GetItemWithError(mp, key); #else PyObject *item = _PyDict_GetItemWithError(mp, key); #endif if (item != NULL) { *result = Py_NewRef(item); return 1; // found } if (!PyErr_Occurred()) { *result = NULL; return 0; // not found } *result = NULL; return -1; } static inline int PyDict_GetItemStringRef(PyObject *mp, const char *key, PyObject **result) { int res; #if PY_VERSION_HEX >= 0x03000000 PyObject *key_obj = PyUnicode_FromString(key); #else PyObject *key_obj = PyString_FromString(key); #endif if (key_obj == NULL) { *result = NULL; return -1; } res = PyDict_GetItemRef(mp, key_obj, result); Py_DECREF(key_obj); return res; } #endif // gh-106307 added PyModule_Add() to Python 3.13.0a1 #if PY_VERSION_HEX < 0x030D00A1 static inline int PyModule_Add(PyObject *mod, const char *name, PyObject *value) { int res = PyModule_AddObjectRef(mod, name, value); Py_XDECREF(value); return res; } #endif // gh-108014 added Py_IsFinalizing() to Python 3.13.0a1 // bpo-1856 added _Py_Finalizing to Python 3.2.1b1. // _Py_IsFinalizing() was added to PyPy 7.3.0. #if (0x030201B1 <= PY_VERSION_HEX && PY_VERSION_HEX < 0x030D00A1) \ && (!defined(PYPY_VERSION_NUM) || PYPY_VERSION_NUM >= 0x7030000) static inline int Py_IsFinalizing(void) { #if PY_VERSION_HEX >= 0x030700A1 // _Py_IsFinalizing() was added to Python 3.7.0a1. return _Py_IsFinalizing(); #else return (_Py_Finalizing != NULL); #endif } #endif // gh-108323 added PyDict_ContainsString() to Python 3.13.0a1 #if PY_VERSION_HEX < 0x030D00A1 static inline int PyDict_ContainsString(PyObject *op, const char *key) { PyObject *key_obj = PyUnicode_FromString(key); if (key_obj == NULL) { return -1; } int res = PyDict_Contains(op, key_obj); Py_DECREF(key_obj); return res; } #endif // gh-108445 added PyLong_AsInt() to Python 3.13.0a1 #if PY_VERSION_HEX < 0x030D00A1 static inline int PyLong_AsInt(PyObject *obj) { #ifdef PYPY_VERSION long value = PyLong_AsLong(obj); if (value == -1 && PyErr_Occurred()) { return -1; } if (value < (long)INT_MIN || (long)INT_MAX < value) { PyErr_SetString(PyExc_OverflowError, "Python int too large to convert to C int"); return -1; } return (int)value; #else return _PyLong_AsInt(obj); #endif } #endif // gh-107073 added PyObject_VisitManagedDict() to Python 3.13.0a1 #if PY_VERSION_HEX < 0x030D00A1 static inline int PyObject_VisitManagedDict(PyObject *obj, visitproc visit, void *arg) { PyObject **dict = _PyObject_GetDictPtr(obj); if (*dict == NULL) { return -1; } Py_VISIT(*dict); return 0; } static inline void PyObject_ClearManagedDict(PyObject *obj) { PyObject **dict = _PyObject_GetDictPtr(obj); if (*dict == NULL) { return; } Py_CLEAR(*dict); } #endif // gh-108867 added PyThreadState_GetUnchecked() to Python 3.13.0a1 // Python 3.5.2 added _PyThreadState_UncheckedGet(). #if PY_VERSION_HEX >= 0x03050200 && PY_VERSION_HEX < 0x030D00A1 static inline PyThreadState* PyThreadState_GetUnchecked(void) { return _PyThreadState_UncheckedGet(); } #endif // gh-110289 added PyUnicode_EqualToUTF8() and PyUnicode_EqualToUTF8AndSize() // to Python 3.13.0a1 #if PY_VERSION_HEX < 0x030D00A1 static inline int PyUnicode_EqualToUTF8AndSize(PyObject *unicode, const char *str, Py_ssize_t str_len) { Py_ssize_t len; const void *utf8; PyObject *exc_type, *exc_value, *exc_tb; int res; // API cannot report errors so save/restore the exception PyErr_Fetch(&exc_type, &exc_value, &exc_tb); // Python 3.3.0a1 added PyUnicode_AsUTF8AndSize() #if PY_VERSION_HEX >= 0x030300A1 if (PyUnicode_IS_ASCII(unicode)) { utf8 = PyUnicode_DATA(unicode); len = PyUnicode_GET_LENGTH(unicode); } else { utf8 = PyUnicode_AsUTF8AndSize(unicode, &len); if (utf8 == NULL) { // Memory allocation failure. The API cannot report error, // so ignore the exception and return 0. res = 0; goto done; } } if (len != str_len) { res = 0; goto done; } res = (memcmp(utf8, str, (size_t)len) == 0); #else PyObject *bytes = PyUnicode_AsUTF8String(unicode); if (bytes == NULL) { // Memory allocation failure. The API cannot report error, // so ignore the exception and return 0. res = 0; goto done; } #if PY_VERSION_HEX >= 0x03000000 len = PyBytes_GET_SIZE(bytes); utf8 = PyBytes_AS_STRING(bytes); #else len = PyString_GET_SIZE(bytes); utf8 = PyString_AS_STRING(bytes); #endif if (len != str_len) { Py_DECREF(bytes); res = 0; goto done; } res = (memcmp(utf8, str, (size_t)len) == 0); Py_DECREF(bytes); #endif done: PyErr_Restore(exc_type, exc_value, exc_tb); return res; } static inline int PyUnicode_EqualToUTF8(PyObject *unicode, const char *str) { return PyUnicode_EqualToUTF8AndSize(unicode, str, (Py_ssize_t)strlen(str)); } #endif // gh-111138 added PyList_Extend() and PyList_Clear() to Python 3.13.0a2 #if PY_VERSION_HEX < 0x030D00A2 static inline int PyList_Extend(PyObject *list, PyObject *iterable) { return PyList_SetSlice(list, PY_SSIZE_T_MAX, PY_SSIZE_T_MAX, iterable); } static inline int PyList_Clear(PyObject *list) { return PyList_SetSlice(list, 0, PY_SSIZE_T_MAX, NULL); } #endif // gh-111262 added PyDict_Pop() and PyDict_PopString() to Python 3.13.0a2 #if PY_VERSION_HEX < 0x030D00A2 static inline int PyDict_Pop(PyObject *dict, PyObject *key, PyObject **result) { PyObject *value; if (!PyDict_Check(dict)) { PyErr_BadInternalCall(); if (result) { *result = NULL; } return -1; } // bpo-16991 added _PyDict_Pop() to Python 3.5.0b2. // Python 3.6.0b3 changed _PyDict_Pop() first argument type to PyObject*. // Python 3.13.0a1 removed _PyDict_Pop(). #if defined(PYPY_VERSION) || PY_VERSION_HEX < 0x030500b2 || PY_VERSION_HEX >= 0x030D0000 value = PyObject_CallMethod(dict, "pop", "O", key); #elif PY_VERSION_HEX < 0x030600b3 value = _PyDict_Pop(_Py_CAST(PyDictObject*, dict), key, NULL); #else value = _PyDict_Pop(dict, key, NULL); #endif if (value == NULL) { if (result) { *result = NULL; } if (PyErr_Occurred() && !PyErr_ExceptionMatches(PyExc_KeyError)) { return -1; } PyErr_Clear(); return 0; } if (result) { *result = value; } else { Py_DECREF(value); } return 1; } static inline int PyDict_PopString(PyObject *dict, const char *key, PyObject **result) { PyObject *key_obj = PyUnicode_FromString(key); if (key_obj == NULL) { if (result != NULL) { *result = NULL; } return -1; } int res = PyDict_Pop(dict, key_obj, result); Py_DECREF(key_obj); return res; } #endif #if PY_VERSION_HEX < 0x030200A4 // Python 3.2.0a4 added Py_hash_t type typedef Py_ssize_t Py_hash_t; #endif // gh-111545 added Py_HashPointer() to Python 3.13.0a3 #if PY_VERSION_HEX < 0x030D00A3 static inline Py_hash_t Py_HashPointer(const void *ptr) { #if PY_VERSION_HEX >= 0x030900A4 && !defined(PYPY_VERSION) return _Py_HashPointer(ptr); #else return _Py_HashPointer(_Py_CAST(void*, ptr)); #endif } #endif // Python 3.13a4 added a PyTime API. // Use the private API added to Python 3.5. #if PY_VERSION_HEX < 0x030D00A4 && PY_VERSION_HEX >= 0x03050000 typedef _PyTime_t PyTime_t; #define PyTime_MIN _PyTime_MIN #define PyTime_MAX _PyTime_MAX static inline double PyTime_AsSecondsDouble(PyTime_t t) { return _PyTime_AsSecondsDouble(t); } static inline int PyTime_Monotonic(PyTime_t *result) { return _PyTime_GetMonotonicClockWithInfo(result, NULL); } static inline int PyTime_Time(PyTime_t *result) { return _PyTime_GetSystemClockWithInfo(result, NULL); } static inline int PyTime_PerfCounter(PyTime_t *result) { #if PY_VERSION_HEX >= 0x03070000 && !defined(PYPY_VERSION) return _PyTime_GetPerfCounterWithInfo(result, NULL); #elif PY_VERSION_HEX >= 0x03070000 // Call time.perf_counter_ns() and convert Python int object to PyTime_t. // Cache time.perf_counter_ns() function for best performance. static PyObject *func = NULL; if (func == NULL) { PyObject *mod = PyImport_ImportModule("time"); if (mod == NULL) { return -1; } func = PyObject_GetAttrString(mod, "perf_counter_ns"); Py_DECREF(mod); if (func == NULL) { return -1; } } PyObject *res = PyObject_CallNoArgs(func); if (res == NULL) { return -1; } long long value = PyLong_AsLongLong(res); Py_DECREF(res); if (value == -1 && PyErr_Occurred()) { return -1; } Py_BUILD_ASSERT(sizeof(value) >= sizeof(PyTime_t)); *result = (PyTime_t)value; return 0; #else // Call time.perf_counter() and convert C double to PyTime_t. // Cache time.perf_counter() function for best performance. static PyObject *func = NULL; if (func == NULL) { PyObject *mod = PyImport_ImportModule("time"); if (mod == NULL) { return -1; } func = PyObject_GetAttrString(mod, "perf_counter"); Py_DECREF(mod); if (func == NULL) { return -1; } } PyObject *res = PyObject_CallNoArgs(func); if (res == NULL) { return -1; } double d = PyFloat_AsDouble(res); Py_DECREF(res); if (d == -1.0 && PyErr_Occurred()) { return -1; } // Avoid floor() to avoid having to link to libm *result = (PyTime_t)(d * 1e9); return 0; #endif } #endif // gh-111389 added hash constants to Python 3.13.0a5. These constants were // added first as private macros to Python 3.4.0b1 and PyPy 7.3.8. #if (!defined(PyHASH_BITS) \ && ((!defined(PYPY_VERSION) && PY_VERSION_HEX >= 0x030400B1) \ || (defined(PYPY_VERSION) && PY_VERSION_HEX >= 0x03070000 \ && PYPY_VERSION_NUM >= 0x07030800))) # define PyHASH_BITS _PyHASH_BITS # define PyHASH_MODULUS _PyHASH_MODULUS # define PyHASH_INF _PyHASH_INF # define PyHASH_IMAG _PyHASH_IMAG #endif // gh-111545 added Py_GetConstant() and Py_GetConstantBorrowed() // to Python 3.13.0a6 #if PY_VERSION_HEX < 0x030D00A6 && !defined(Py_CONSTANT_NONE) #define Py_CONSTANT_NONE 0 #define Py_CONSTANT_FALSE 1 #define Py_CONSTANT_TRUE 2 #define Py_CONSTANT_ELLIPSIS 3 #define Py_CONSTANT_NOT_IMPLEMENTED 4 #define Py_CONSTANT_ZERO 5 #define Py_CONSTANT_ONE 6 #define Py_CONSTANT_EMPTY_STR 7 #define Py_CONSTANT_EMPTY_BYTES 8 #define Py_CONSTANT_EMPTY_TUPLE 9 static inline PyObject* Py_GetConstant(unsigned int constant_id) { static PyObject* constants[Py_CONSTANT_EMPTY_TUPLE + 1] = {NULL}; if (constants[Py_CONSTANT_NONE] == NULL) { constants[Py_CONSTANT_NONE] = Py_None; constants[Py_CONSTANT_FALSE] = Py_False; constants[Py_CONSTANT_TRUE] = Py_True; constants[Py_CONSTANT_ELLIPSIS] = Py_Ellipsis; constants[Py_CONSTANT_NOT_IMPLEMENTED] = Py_NotImplemented; constants[Py_CONSTANT_ZERO] = PyLong_FromLong(0); if (constants[Py_CONSTANT_ZERO] == NULL) { goto fatal_error; } constants[Py_CONSTANT_ONE] = PyLong_FromLong(1); if (constants[Py_CONSTANT_ONE] == NULL) { goto fatal_error; } constants[Py_CONSTANT_EMPTY_STR] = PyUnicode_FromStringAndSize("", 0); if (constants[Py_CONSTANT_EMPTY_STR] == NULL) { goto fatal_error; } constants[Py_CONSTANT_EMPTY_BYTES] = PyBytes_FromStringAndSize("", 0); if (constants[Py_CONSTANT_EMPTY_BYTES] == NULL) { goto fatal_error; } constants[Py_CONSTANT_EMPTY_TUPLE] = PyTuple_New(0); if (constants[Py_CONSTANT_EMPTY_TUPLE] == NULL) { goto fatal_error; } // goto dance to avoid compiler warnings about Py_FatalError() goto init_done; fatal_error: // This case should never happen Py_FatalError("Py_GetConstant() failed to get constants"); } init_done: if (constant_id <= Py_CONSTANT_EMPTY_TUPLE) { return Py_NewRef(constants[constant_id]); } else { PyErr_BadInternalCall(); return NULL; } } static inline PyObject* Py_GetConstantBorrowed(unsigned int constant_id) { PyObject *obj = Py_GetConstant(constant_id); Py_XDECREF(obj); return obj; } #endif // gh-114329 added PyList_GetItemRef() to Python 3.13.0a4 #if PY_VERSION_HEX < 0x030D00A4 static inline PyObject * PyList_GetItemRef(PyObject *op, Py_ssize_t index) { PyObject *item = PyList_GetItem(op, index); Py_XINCREF(item); return item; } #endif // gh-114329 added PyList_GetItemRef() to Python 3.13.0a4 #if PY_VERSION_HEX < 0x030D00A4 static inline int PyDict_SetDefaultRef(PyObject *d, PyObject *key, PyObject *default_value, PyObject **result) { PyObject *value; if (PyDict_GetItemRef(d, key, &value) < 0) { // get error if (result) { *result = NULL; } return -1; } if (value != NULL) { // present if (result) { *result = value; } else { Py_DECREF(value); } return 1; } // missing: set the item if (PyDict_SetItem(d, key, default_value) < 0) { // set error if (result) { *result = NULL; } return -1; } if (result) { *result = Py_NewRef(default_value); } return 0; } #endif #if PY_VERSION_HEX < 0x030D00B3 # define Py_BEGIN_CRITICAL_SECTION(op) { # define Py_END_CRITICAL_SECTION() } # define Py_BEGIN_CRITICAL_SECTION2(a, b) { # define Py_END_CRITICAL_SECTION2() } #endif #if PY_VERSION_HEX < 0x030E0000 && PY_VERSION_HEX >= 0x03060000 && !defined(PYPY_VERSION) typedef struct PyUnicodeWriter PyUnicodeWriter; static inline void PyUnicodeWriter_Discard(PyUnicodeWriter *writer) { _PyUnicodeWriter_Dealloc((_PyUnicodeWriter*)writer); PyMem_Free(writer); } static inline PyUnicodeWriter* PyUnicodeWriter_Create(Py_ssize_t length) { if (length < 0) { PyErr_SetString(PyExc_ValueError, "length must be positive"); return NULL; } const size_t size = sizeof(_PyUnicodeWriter); PyUnicodeWriter *pub_writer = (PyUnicodeWriter *)PyMem_Malloc(size); if (pub_writer == _Py_NULL) { PyErr_NoMemory(); return _Py_NULL; } _PyUnicodeWriter *writer = (_PyUnicodeWriter *)pub_writer; _PyUnicodeWriter_Init(writer); if (_PyUnicodeWriter_Prepare(writer, length, 127) < 0) { PyUnicodeWriter_Discard(pub_writer); return NULL; } writer->overallocate = 1; return pub_writer; } static inline PyObject* PyUnicodeWriter_Finish(PyUnicodeWriter *writer) { PyObject *str = _PyUnicodeWriter_Finish((_PyUnicodeWriter*)writer); assert(((_PyUnicodeWriter*)writer)->buffer == NULL); PyMem_Free(writer); return str; } static inline int PyUnicodeWriter_WriteChar(PyUnicodeWriter *writer, Py_UCS4 ch) { if (ch > 0x10ffff) { PyErr_SetString(PyExc_ValueError, "character must be in range(0x110000)"); return -1; } return _PyUnicodeWriter_WriteChar((_PyUnicodeWriter*)writer, ch); } static inline int PyUnicodeWriter_WriteStr(PyUnicodeWriter *writer, PyObject *obj) { PyObject *str = PyObject_Str(obj); if (str == NULL) { return -1; } int res = _PyUnicodeWriter_WriteStr((_PyUnicodeWriter*)writer, str); Py_DECREF(str); return res; } static inline int PyUnicodeWriter_WriteRepr(PyUnicodeWriter *writer, PyObject *obj) { PyObject *str = PyObject_Repr(obj); if (str == NULL) { return -1; } int res = _PyUnicodeWriter_WriteStr((_PyUnicodeWriter*)writer, str); Py_DECREF(str); return res; } static inline int PyUnicodeWriter_WriteUTF8(PyUnicodeWriter *writer, const char *str, Py_ssize_t size) { if (size < 0) { size = (Py_ssize_t)strlen(str); } PyObject *str_obj = PyUnicode_FromStringAndSize(str, size); if (str_obj == _Py_NULL) { return -1; } int res = _PyUnicodeWriter_WriteStr((_PyUnicodeWriter*)writer, str_obj); Py_DECREF(str_obj); return res; } static inline int PyUnicodeWriter_WriteWideChar(PyUnicodeWriter *writer, const wchar_t *str, Py_ssize_t size) { if (size < 0) { size = (Py_ssize_t)wcslen(str); } PyObject *str_obj = PyUnicode_FromWideChar(str, size); if (str_obj == _Py_NULL) { return -1; } int res = _PyUnicodeWriter_WriteStr((_PyUnicodeWriter*)writer, str_obj); Py_DECREF(str_obj); return res; } static inline int PyUnicodeWriter_WriteSubstring(PyUnicodeWriter *writer, PyObject *str, Py_ssize_t start, Py_ssize_t end) { if (!PyUnicode_Check(str)) { PyErr_Format(PyExc_TypeError, "expect str, not %T", str); return -1; } if (start < 0 || start > end) { PyErr_Format(PyExc_ValueError, "invalid start argument"); return -1; } if (end > PyUnicode_GET_LENGTH(str)) { PyErr_Format(PyExc_ValueError, "invalid end argument"); return -1; } return _PyUnicodeWriter_WriteSubstring((_PyUnicodeWriter*)writer, str, start, end); } static inline int PyUnicodeWriter_Format(PyUnicodeWriter *writer, const char *format, ...) { va_list vargs; va_start(vargs, format); PyObject *str = PyUnicode_FromFormatV(format, vargs); va_end(vargs); if (str == _Py_NULL) { return -1; } int res = _PyUnicodeWriter_WriteStr((_PyUnicodeWriter*)writer, str); Py_DECREF(str); return res; } #endif // PY_VERSION_HEX < 0x030E0000 // gh-116560 added PyLong_GetSign() to Python 3.14.0a0 #if PY_VERSION_HEX < 0x030E00A0 static inline int PyLong_GetSign(PyObject *obj, int *sign) { if (!PyLong_Check(obj)) { PyErr_Format(PyExc_TypeError, "expect int, got %s", Py_TYPE(obj)->tp_name); return -1; } *sign = _PyLong_Sign(obj); return 0; } #endif // gh-126061 added PyLong_IsPositive/Negative/Zero() to Python in 3.14.0a2 #if PY_VERSION_HEX < 0x030E00A2 static inline int PyLong_IsPositive(PyObject *obj) { if (!PyLong_Check(obj)) { PyErr_Format(PyExc_TypeError, "expected int, got %s", Py_TYPE(obj)->tp_name); return -1; } return _PyLong_Sign(obj) == 1; } static inline int PyLong_IsNegative(PyObject *obj) { if (!PyLong_Check(obj)) { PyErr_Format(PyExc_TypeError, "expected int, got %s", Py_TYPE(obj)->tp_name); return -1; } return _PyLong_Sign(obj) == -1; } static inline int PyLong_IsZero(PyObject *obj) { if (!PyLong_Check(obj)) { PyErr_Format(PyExc_TypeError, "expected int, got %s", Py_TYPE(obj)->tp_name); return -1; } return _PyLong_Sign(obj) == 0; } #endif // gh-124502 added PyUnicode_Equal() to Python 3.14.0a0 #if PY_VERSION_HEX < 0x030E00A0 static inline int PyUnicode_Equal(PyObject *str1, PyObject *str2) { if (!PyUnicode_Check(str1)) { PyErr_Format(PyExc_TypeError, "first argument must be str, not %s", Py_TYPE(str1)->tp_name); return -1; } if (!PyUnicode_Check(str2)) { PyErr_Format(PyExc_TypeError, "second argument must be str, not %s", Py_TYPE(str2)->tp_name); return -1; } #if PY_VERSION_HEX >= 0x030d0000 && !defined(PYPY_VERSION) PyAPI_FUNC(int) _PyUnicode_Equal(PyObject *str1, PyObject *str2); return _PyUnicode_Equal(str1, str2); #elif PY_VERSION_HEX >= 0x03060000 && !defined(PYPY_VERSION) return _PyUnicode_EQ(str1, str2); #elif PY_VERSION_HEX >= 0x03090000 && defined(PYPY_VERSION) return _PyUnicode_EQ(str1, str2); #else return (PyUnicode_Compare(str1, str2) == 0); #endif } #endif // gh-121645 added PyBytes_Join() to Python 3.14.0a0 #if PY_VERSION_HEX < 0x030E00A0 static inline PyObject* PyBytes_Join(PyObject *sep, PyObject *iterable) { return _PyBytes_Join(sep, iterable); } #endif #if PY_VERSION_HEX < 0x030E00A0 static inline Py_hash_t Py_HashBuffer(const void *ptr, Py_ssize_t len) { #if PY_VERSION_HEX >= 0x03000000 && !defined(PYPY_VERSION) PyAPI_FUNC(Py_hash_t) _Py_HashBytes(const void *src, Py_ssize_t len); return _Py_HashBytes(ptr, len); #else Py_hash_t hash; PyObject *bytes = PyBytes_FromStringAndSize((const char*)ptr, len); if (bytes == NULL) { return -1; } hash = PyObject_Hash(bytes); Py_DECREF(bytes); return hash; #endif } #endif #if PY_VERSION_HEX < 0x030E00A0 static inline int PyIter_NextItem(PyObject *iter, PyObject **item) { iternextfunc tp_iternext; assert(iter != NULL); assert(item != NULL); tp_iternext = Py_TYPE(iter)->tp_iternext; if (tp_iternext == NULL) { *item = NULL; PyErr_Format(PyExc_TypeError, "expected an iterator, got '%s'", Py_TYPE(iter)->tp_name); return -1; } if ((*item = tp_iternext(iter))) { return 1; } if (!PyErr_Occurred()) { return 0; } if (PyErr_ExceptionMatches(PyExc_StopIteration)) { PyErr_Clear(); return 0; } return -1; } #endif #if PY_VERSION_HEX < 0x030E00A0 static inline PyObject* PyLong_FromInt32(int32_t value) { Py_BUILD_ASSERT(sizeof(long) >= 4); return PyLong_FromLong(value); } static inline PyObject* PyLong_FromInt64(int64_t value) { Py_BUILD_ASSERT(sizeof(long long) >= 8); return PyLong_FromLongLong(value); } static inline PyObject* PyLong_FromUInt32(uint32_t value) { Py_BUILD_ASSERT(sizeof(unsigned long) >= 4); return PyLong_FromUnsignedLong(value); } static inline PyObject* PyLong_FromUInt64(uint64_t value) { Py_BUILD_ASSERT(sizeof(unsigned long long) >= 8); return PyLong_FromUnsignedLongLong(value); } static inline int PyLong_AsInt32(PyObject *obj, int32_t *pvalue) { Py_BUILD_ASSERT(sizeof(int) == 4); int value = PyLong_AsInt(obj); if (value == -1 && PyErr_Occurred()) { return -1; } *pvalue = (int32_t)value; return 0; } static inline int PyLong_AsInt64(PyObject *obj, int64_t *pvalue) { Py_BUILD_ASSERT(sizeof(long long) == 8); long long value = PyLong_AsLongLong(obj); if (value == -1 && PyErr_Occurred()) { return -1; } *pvalue = (int64_t)value; return 0; } static inline int PyLong_AsUInt32(PyObject *obj, uint32_t *pvalue) { Py_BUILD_ASSERT(sizeof(long) >= 4); unsigned long value = PyLong_AsUnsignedLong(obj); if (value == (unsigned long)-1 && PyErr_Occurred()) { return -1; } #if SIZEOF_LONG > 4 if ((unsigned long)UINT32_MAX < value) { PyErr_SetString(PyExc_OverflowError, "Python int too large to convert to C uint32_t"); return -1; } #endif *pvalue = (uint32_t)value; return 0; } static inline int PyLong_AsUInt64(PyObject *obj, uint64_t *pvalue) { Py_BUILD_ASSERT(sizeof(long long) == 8); unsigned long long value = PyLong_AsUnsignedLongLong(obj); if (value == (unsigned long long)-1 && PyErr_Occurred()) { return -1; } *pvalue = (uint64_t)value; return 0; } #endif #ifdef __cplusplus } #endif #endif // PYTHONCAPI_COMPAT ================================================ FILE: src/viztracer/modules/quicktime.c ================================================ // Licensed under the Apache License: http://www.apache.org/licenses/LICENSE-2.0 // For details: https://github.com/gaogaotiantian/viztracer/blob/master/NOTICE.txt #include #include #include #include #include #include #include "quicktime.h" #if _WIN32 #include LARGE_INTEGER qpc_freq; #elif defined(__APPLE__) #include mach_timebase_info_data_t timebase_info; #endif #define CALIBRATE_SIZE 1000 double ts_to_ns_factor = 1.0; int64_t system_base_time = 0; int64_t system_base_ts = 0; int64_t* start_ts = NULL; int64_t* start_ns = NULL; int64_t t0_ts = 0; int64_t t0_ns = 0; bool calibrated = false; static int compare_double(const void *a, const void *b) { return (*(double *)a - *(double *)b); } static int compare_int64(const void *a, const void *b) { return (*(int64_t *)a - *(int64_t *)b); } static void calibrate_quicktime() { int64_t end_ts[CALIBRATE_SIZE] = {0}; int64_t end_ns[CALIBRATE_SIZE] = {0}; double factors[CALIBRATE_SIZE] = {0}; for (int i = 0; i < CALIBRATE_SIZE; i++) { int64_t end_before = get_system_ts(); end_ns[i] = get_system_ns(); int64_t end_after = get_system_ts(); end_ts[i] = end_before + (end_after - end_before) / 2; } for (int i = 0; i < CALIBRATE_SIZE; i++) { factors[i] = (double)(end_ns[i] - start_ns[i]) / (end_ts[i] - start_ts[i]); } qsort(factors, CALIBRATE_SIZE, sizeof(double), compare_double); ts_to_ns_factor = factors[CALIBRATE_SIZE / 2]; } double system_ts_to_us(int64_t ts) { if (!calibrated) { calibrate_quicktime(); calibrated = true; } return system_ts_to_ns(ts) / 1000.0; } int64_t system_ts_to_ns(int64_t ts) { if (!calibrated) { calibrate_quicktime(); calibrated = true; } return t0_ns + (ts - t0_ts) * ts_to_ns_factor; } double dur_ts_to_us(int64_t dur) { if (!calibrated) { calibrate_quicktime(); calibrated = true; } return (double)dur * ts_to_ns_factor / 1000; } int64_t dur_ts_to_ns(int64_t dur) { if (!calibrated) { calibrate_quicktime(); calibrated = true; } return dur * ts_to_ns_factor; } void quicktime_free() { free(start_ts); free(start_ns); } void quicktime_init() { #if _WIN32 QueryPerformanceFrequency(&qpc_freq); #elif defined(__APPLE__) mach_timebase_info(&timebase_info); #endif start_ts = (int64_t*)malloc(sizeof(int64_t) * CALIBRATE_SIZE); start_ns = (int64_t*)malloc(sizeof(int64_t) * CALIBRATE_SIZE); int64_t diff_ns[CALIBRATE_SIZE] = {0}; t0_ts = 0; t0_ns = 0; for (int i = 0; i < CALIBRATE_SIZE; i++) { int64_t start_before = get_system_ts(); start_ns[i] = get_system_ns(); int64_t start_after = get_system_ts(); start_ts[i] = start_before + (start_after - start_before) / 2; } // Do the expensive average calculation outside the measurement loop int64_t ts_remainder = 0; int64_t ns_remainder = 0; for (int i = 0; i < CALIBRATE_SIZE; i++) { // Divide by CALIBRATE_SIZE at each step instead of accumulate-and-divide to avoid overflow t0_ts += start_ts[i] / CALIBRATE_SIZE; t0_ns += start_ns[i] / CALIBRATE_SIZE; // Also accumulate the remainders, which are unlikely to overflow ts_remainder += start_ts[i] % CALIBRATE_SIZE; ns_remainder += start_ns[i] % CALIBRATE_SIZE; } // Then finally add the average remainder t0_ts += ts_remainder / CALIBRATE_SIZE; t0_ns += ns_remainder / CALIBRATE_SIZE; // Now let's find the base time for (int i = 0; i < CALIBRATE_SIZE; i++) { int64_t start_before = get_system_ns(); diff_ns[i] = get_system_epoch_ns(); int64_t start_after = get_system_ns(); diff_ns[i] -= start_before + (start_after - start_before) / 2; } qsort(diff_ns, CALIBRATE_SIZE, sizeof(int64_t), compare_int64); system_base_time = diff_ns[CALIBRATE_SIZE / 2]; } ================================================ FILE: src/viztracer/modules/quicktime.h ================================================ // Licensed under the Apache License: http://www.apache.org/licenses/LICENSE-2.0 // For details: https://github.com/gaogaotiantian/viztracer/blob/master/NOTICE.txt #ifndef __SNAPTRACE_QUICKTIME_H__ #define __SNAPTRACE_QUICKTIME_H__ #include #include #include #if _WIN32 #include extern LARGE_INTEGER qpc_freq; #elif defined(__APPLE__) #include extern mach_timebase_info_data_t timebase_info; #endif #if defined(__i386__) || defined(__x86_64__) || defined(__amd64__) #define QUICKTIME_RDTSC #if defined(_MSC_VER) #include #elif defined(__clang__) // `__rdtsc` is available by default. // NB: This has to be first, because Clang will also define `__GNUC__` #elif defined(__GNUC__) #include #else #undef QUICKTIME_RDTSC #endif #endif extern double ts_to_ns_factor; extern int64_t system_base_time; void quicktime_init(); void quicktime_free(); double system_ts_to_us(int64_t ts); int64_t system_ts_to_ns(int64_t ts); double dur_ts_to_us(int64_t dur); int64_t dur_ts_to_ns(int64_t dur); inline int64_t get_base_time_ns(void) { return system_base_time; }; inline int64_t get_system_ts(void) { #if defined(QUICKTIME_RDTSC) return __rdtsc(); #else #if _WIN32 LARGE_INTEGER counter = {0}; QueryPerformanceCounter(&counter); return counter.QuadPart; #elif defined(__APPLE__) return clock_gettime_nsec_np(CLOCK_MONOTONIC_RAW); #else struct timespec t; clock_gettime(CLOCK_MONOTONIC, &t); return (int64_t)(t.tv_sec * 1e9 + t.tv_nsec); #endif #endif } inline int64_t get_system_ns(void) { #if _WIN32 LARGE_INTEGER counter = {0}; QueryPerformanceCounter(&counter); return counter.QuadPart * 1e9 / qpc_freq.QuadPart; #elif defined(__APPLE__) return clock_gettime_nsec_np(CLOCK_MONOTONIC_RAW); #else struct timespec t; clock_gettime(CLOCK_MONOTONIC, &t); return (int64_t)(t.tv_sec * 1e9 + t.tv_nsec); #endif } inline int64_t get_system_epoch_ns(void) { #if _WIN32 FILETIME ft; ULARGE_INTEGER ui; GetSystemTimePreciseAsFileTime(&ft); ui.LowPart = ft.dwLowDateTime; ui.HighPart = ft.dwHighDateTime; return (ui.QuadPart - 116444736000000000ULL) * 100; #else struct timespec t; clock_gettime(CLOCK_REALTIME, &t); return (int64_t)t.tv_sec * 1e9 + t.tv_nsec; #endif } #endif ================================================ FILE: src/viztracer/modules/snaptrace.c ================================================ // Licensed under the Apache License: http://www.apache.org/licenses/LICENSE-2.0 // For details: https://github.com/gaogaotiantian/viztracer/blob/master/NOTICE.txt #define PY_SSIZE_T_CLEAN #include #include #include #if _WIN32 #include #elif defined(__APPLE__) #include #elif defined(__FreeBSD__) #include #else #include #include #endif #include "pythoncapi_compat.h" #include "snaptrace.h" #include "quicktime.h" #include "util.h" #include "eventnode.h" TracerObject* curr_tracer = NULL; PyObject* threading_module = NULL; PyObject* multiprocessing_module = NULL; PyObject* json_module = NULL; PyObject* asyncio_module = NULL; PyObject* asyncio_tasks_module = NULL; PyObject* trio_module = NULL; PyObject* trio_lowlevel_module = NULL; PyObject* sys_module = NULL; PyObject* sys_monitoring_missing = NULL; PyObject* curr_task_getters[2] = {0}; // ============================================================================= // Utility function // ============================================================================= int64_t prev_ts = 0; static inline int64_t get_ts() { #if defined(QUICKTIME_RDTSC) return get_system_ts(); #else int64_t curr_ts = get_system_ts(); if (curr_ts <= prev_ts) { // We use artificial timestamp to avoid timestamp conflict. // 20 ns should be a safe granularity because that's normally // how long clock_gettime() takes. // It's possible to have three same timestamp in a row so we // need to check if curr_ts <= prev_ts instead of == #if !defined(_WIN32) // Win32's time unit is too coarse, we can't even add 1. curr_ts = prev_ts + 20; #endif } prev_ts = curr_ts; return curr_ts; #endif } static inline struct EventNode* get_next_node(TracerObject* self) { struct EventNode* node = NULL; SNAPTRACE_THREAD_PROTECT_START(self); node = self->buffer + self->buffer_tail_idx; // This is actually faster than modulo self->buffer_tail_idx = self->buffer_tail_idx + 1; if (self->buffer_tail_idx >= self->buffer_size) { self->buffer_tail_idx = 0; } if (self->buffer_tail_idx == self->buffer_head_idx) { self->buffer_head_idx = self->buffer_head_idx + 1; if (self->buffer_head_idx >= self->buffer_size) { self->buffer_head_idx = 0; } clear_node(self->buffer + self->buffer_tail_idx); } else { self->total_entries += 1; } SNAPTRACE_THREAD_PROTECT_END(self); return node; } static void log_func_args(struct FunctionNode* node, PyFrameObject* frame, PyObject* log_func_repr) { PyObject* func_arg_dict = PyDict_New(); PyCodeObject* code = PyFrame_GetCode(frame); PyObject* names = PyCode_GetVarnames(code); #if PY_VERSION_HEX >= 0x030D0000 PyObject* locals = PyEval_GetFrameLocals(); #else PyObject* locals = PyEval_GetLocals(); #endif int idx = 0; if (!node->args) { node->args = PyDict_New(); } int name_length = code->co_argcount + code->co_kwonlyargcount; if (code->co_flags & CO_VARARGS) { name_length ++; } if (code->co_flags & CO_VARKEYWORDS) { name_length ++; } while (idx < name_length) { // Borrowed PyObject* name = PyTuple_GET_ITEM(names, idx); PyObject* repr = NULL; // New if (log_func_repr) { repr = PyObject_CallOneArg(log_func_repr, PyDict_GetItem(locals, name)); } else { repr = PyObject_Repr(PyDict_GetItem(locals, name)); } if (!repr) { repr = PyUnicode_FromString("Not Displayable"); PyErr_Clear(); } PyDict_SetItem(func_arg_dict, name, repr); Py_DECREF(repr); idx++; } #if PY_VERSION_HEX >= 0x030D0000 Py_DECREF(locals); #endif PyDict_SetItemString(node->args, "func_args", func_arg_dict); Py_DECREF(func_arg_dict); Py_XDECREF(code); Py_XDECREF(names); } static void verbose_printf(TracerObject* self, int v, const char* fmt, ...) { va_list args; if (self->verbose >= v) { va_start(args, fmt); vprintf(fmt, args); va_end(args); fflush(stdout); } } void clear_stack(struct FunctionNode** stack_top) { Py_CLEAR((*stack_top)->args); Py_CLEAR((*stack_top)->func); while ((*stack_top)->prev) { (*stack_top) = (*stack_top) -> prev; Py_CLEAR((*stack_top)->args); Py_CLEAR((*stack_top)->func); } } // ============================================================================= // Thread info related functions // ============================================================================= static struct ThreadInfo* snaptrace_createthreadinfo(TracerObject* self) { struct ThreadInfo* info = PyMem_Calloc(1, sizeof(struct ThreadInfo)); info->stack_top = (struct FunctionNode*) PyMem_Calloc(1, sizeof(struct FunctionNode)); #if _WIN32 info->tid = GetCurrentThreadId(); #elif defined(__APPLE__) __uint64_t tid = 0; if (pthread_threadid_np(NULL, &tid)) { info->tid = (unsigned long)pthread_self(); } else { info->tid = tid; } #elif defined(__FreeBSD__) info->tid = pthread_getthreadid_np(); #else info->tid = syscall(SYS_gettid); #endif #if _WIN32 TlsSetValue(self->dwTlsIndex, info); #else pthread_setspecific(self->thread_key, info); #endif PyGILState_STATE state = PyGILState_Ensure(); SNAPTRACE_THREAD_PROTECT_START(self); PyObject* current_thread = PyObject_CallMethod(threading_module, "current_thread", ""); if (!current_thread) { PyErr_SetString(PyExc_RuntimeError, "Failed to get current thread"); goto cleanup; } PyObject* thread_name = PyObject_GetAttrString(current_thread, "name"); if (!thread_name) { // It's okay not having a name PyErr_Clear(); thread_name = PyUnicode_FromString("Unknown"); } Py_DECREF(current_thread); // Check for existing node for the same tid first struct MetadataNode* node = self->metadata_head; int found_node = 0; while (node) { if (node->tid == info->tid) { Py_DECREF(node->name); node->name = thread_name; node->thread_info = info; info->metadata_node = node; found_node = 1; break; } node = node->next; } if (!found_node) { node = (struct MetadataNode*) PyMem_Calloc(1, sizeof(struct MetadataNode)); if (!node) { PyErr_SetString(PyExc_RuntimeError, "Out of memory!"); info = NULL; goto cleanup; } node->name = thread_name; node->tid = info->tid; node->thread_info = info; info->metadata_node = node; node->next = self->metadata_head; self->metadata_head = node; } info->curr_task = NULL; info->curr_task_frame = NULL; cleanup: SNAPTRACE_THREAD_PROTECT_END(self); PyGILState_Release(state); return info; } static struct ThreadInfo* get_thread_info(TracerObject* self) { // self is non-NULL value struct ThreadInfo* info = NULL; #if _WIN32 info = TlsGetValue(self->dwTlsIndex); #else info = pthread_getspecific(self->thread_key); #endif if (!info) { info = snaptrace_createthreadinfo(self); } return info; } static void snaptrace_threaddestructor(void* key) { struct ThreadInfo* info = key; struct FunctionNode* tmp = NULL; if (info) { PyGILState_STATE state = PyGILState_Ensure(); info->paused = 0; info->curr_stack_depth = 0; info->ignore_stack_depth = 0; info->tid = 0; if (info->stack_top) { while (info->stack_top->prev) { info->stack_top = info->stack_top->prev; } while (info->stack_top) { tmp = info->stack_top; Py_CLEAR(tmp->args); Py_CLEAR(tmp->func); info->stack_top = info->stack_top->next; PyMem_FREE(tmp); } } info->stack_top = NULL; Py_CLEAR(info->curr_task); Py_CLEAR(info->curr_task_frame); info->metadata_node->thread_info = NULL; PyMem_FREE(info); PyGILState_Release(state); } } // ============================================================================= // Tracing function, triggered when FEE // ============================================================================= // This function is called before we actually start tracing. // * Prepare the thread info and create one if not exist // * Check if we should trace based on all the flags // * -1: Error // * 0: Not trace // * 1: Trace int prepare_before_trace(TracerObject* self, int is_call, struct ThreadInfo** info_out) { if (!self->collecting) { return 0; } struct ThreadInfo* info = get_thread_info(self); if (!info) { self->collecting = 0; PyErr_SetString(PyExc_RuntimeError, "VizTracer: Failed to create thread info. This should not happen."); return -1; } *info_out = info; if (info->paused) { return 0; } if (info->ignore_stack_depth > 0) { return 0; } if (CHECK_FLAG(self->check_flags, SNAPTRACE_MAX_STACK_DEPTH)) { if (is_call) { if (info->curr_stack_depth >= self->max_stack_depth) { return 0; } } else { if (info->curr_stack_depth > 0) { if (info->curr_stack_depth > self->max_stack_depth) { return 0; } } } } return 1; } int tracer_pycall_callback(TracerObject* self, PyCodeObject* code) { struct ThreadInfo* info = NULL; if (prepare_before_trace(self, 1, &info) <= 0) { // For now we think -1 and 0 should both return because we should not // have the -1 case. goto cleanup_ignore; } PyObject* co_filename = code->co_filename; if (!CHECK_FLAG(self->check_flags, SNAPTRACE_TRACE_SELF)) { if (self->lib_file_path && co_filename && PyUnicode_Check(co_filename) && startswith(PyUnicode_AsUTF8(co_filename), self->lib_file_path)) { goto cleanup_ignore; } } if (CHECK_FLAG(self->check_flags, SNAPTRACE_INCLUDE_FILES | SNAPTRACE_EXCLUDE_FILES)) { if (info->ignore_stack_depth == 0) { PyObject* files = NULL; int record = 0; int is_include = CHECK_FLAG(self->check_flags, SNAPTRACE_INCLUDE_FILES); if (is_include) { files = self->include_files; record = 0; } else { files = self->exclude_files; record = 1; } Py_ssize_t length = PyList_GET_SIZE(files); for (int i = 0; i < length; i++) { PyObject* f = PyList_GET_ITEM(files, i); if (startswith(PyUnicode_AsUTF8(co_filename), PyUnicode_AsUTF8(f))) { record = 1 - record; break; } } if (record == 0) { goto cleanup_ignore; } } else { goto cleanup_ignore; } } if (CHECK_FLAG(self->check_flags, SNAPTRACE_IGNORE_FROZEN)) { if (startswith(PyUnicode_AsUTF8(co_filename), "check_flags, SNAPTRACE_LOG_ASYNC) && info->curr_task == NULL && (code->co_flags & CO_COROUTINE) != 0) { PyObject* curr_task = Py_None; info->paused = 1; for (size_t i = 0; i < sizeof(curr_task_getters)/sizeof(curr_task_getters[0]); i++) { if (curr_task_getters[i] != NULL) { curr_task = PyObject_CallNoArgs(curr_task_getters[i]); if (!curr_task) { PyErr_Clear(); // RuntimeError, probably curr_task = Py_None; } else if (curr_task != Py_None) { break; // got a valid task } } } info->paused = 0; info->curr_task = Py_NewRef(curr_task); info->curr_task_frame = (PyFrameObject*)Py_NewRef(PyEval_GetFrame()); } // If it's a call, we need a new node, and we need to update the stack if (!info->stack_top->next) { info->stack_top->next = (struct FunctionNode*) PyMem_Calloc(1, sizeof(struct FunctionNode)); info->stack_top->next->prev = info->stack_top; } info->stack_top = info->stack_top->next; info->stack_top->ts = get_ts(); info->stack_top->func = Py_NewRef(code); if (CHECK_FLAG(self->check_flags, SNAPTRACE_LOG_FUNCTION_ARGS)) { log_func_args(info->stack_top, PyEval_GetFrame(), self->log_func_repr); } info->curr_stack_depth += 1; return 0; cleanup_ignore: if (info) { info->ignore_stack_depth += 1; info->curr_stack_depth += 1; } return 0; } int tracer_ccall_callback(TracerObject* self, PyCodeObject* code, PyObject* arg) { struct ThreadInfo* info = NULL; if (prepare_before_trace(self, 1, &info) <= 0) { // For now we think -1 and 0 should both return because we should not // have the -1 case. goto cleanup_ignore; } PyCFunctionObject* cfunc = (PyCFunctionObject*) arg; if (cfunc->m_self == (PyObject*)self) { goto cleanup_ignore; } // If it's a call, we need a new node, and we need to update the stack if (!info->stack_top->next) { info->stack_top->next = (struct FunctionNode*) PyMem_Calloc(1, sizeof(struct FunctionNode)); info->stack_top->next->prev = info->stack_top; } info->stack_top = info->stack_top->next; info->stack_top->ts = get_ts(); info->stack_top->func = Py_NewRef(arg); if (CHECK_FLAG(self->check_flags, SNAPTRACE_LOG_FUNCTION_ARGS)) { log_func_args(info->stack_top, PyEval_GetFrame(), self->log_func_repr); } info->curr_stack_depth += 1; return 0; cleanup_ignore: if (info) { info->ignore_stack_depth += 1; info->curr_stack_depth += 1; } return 0; } int tracer_pyreturn_callback(TracerObject* self, PyCodeObject* code, PyObject* arg) { struct ThreadInfo* info = NULL; if (prepare_before_trace(self, 0, &info) <= 0) { // For now we think -1 and 0 should both return because we should not // have the -1 case. goto cleanup_ignore; } struct FunctionNode* stack_top = info->stack_top; if (stack_top->prev) { // if stack_top has prev, it's not the fake node so it's at least root int64_t dur = get_ts() - info->stack_top->ts; int log_this_entry = self->min_duration == 0 || dur_ts_to_ns(dur) >= self->min_duration; if (log_this_entry) { PyCodeObject* call_code = (PyCodeObject*) stack_top->func; if (!PyCode_Check(call_code) || call_code != code) { self->collecting = 0; PyErr_WarnEx(PyExc_RuntimeWarning, "VizTracer: Unexpected function return, tracing is stopped", 1); return 0; } struct EventNode* node = get_next_node(self); node->ntype = FEE_NODE; node->ts = info->stack_top->ts; node->data.fee.dur = dur; node->tid = info->tid; node->data.fee.type = PyTrace_RETURN; node->data.fee.code = (PyCodeObject*)Py_NewRef(code); // steal the reference when return node->data.fee.args = Py_XNewRef(stack_top->args); if (CHECK_FLAG(self->check_flags, SNAPTRACE_LOG_RETURN_VALUE)) { PyObject* repr = NULL; if (self->log_func_repr) { repr = PyObject_CallOneArg(self->log_func_repr, arg); } else { repr = PyObject_Repr(arg); } if (!repr) { repr = PyUnicode_FromString("Not Displayable"); PyErr_Clear(); } node->data.fee.retval = repr; } if (CHECK_FLAG(self->check_flags, SNAPTRACE_LOG_ASYNC)) { node->data.fee.asyncio_task = Py_XNewRef(info->curr_task); } } // Finish return whether to log the data info->stack_top = info->stack_top->prev; Py_CLEAR(stack_top->args); Py_CLEAR(stack_top->func); if (CHECK_FLAG(self->check_flags, SNAPTRACE_LOG_ASYNC) && info->curr_task && PyEval_GetFrame() == info->curr_task_frame) { Py_CLEAR(info->curr_task); Py_CLEAR(info->curr_task_frame); } } if (info->curr_stack_depth > 0) { info->curr_stack_depth -= 1; } return 0; cleanup_ignore: if (info) { if (info->curr_stack_depth > 0) { info->curr_stack_depth -= 1; } if (info->ignore_stack_depth > 0) { info->ignore_stack_depth -= 1; } } return 0; } int tracer_creturn_callback(TracerObject* self, PyCodeObject* code, PyObject* arg) { struct ThreadInfo* info = NULL; if (prepare_before_trace(self, 0, &info) <= 0) { // For now we think -1 and 0 should both return because we should not // have the -1 case. goto cleanup_ignore; } struct FunctionNode* stack_top = info->stack_top; if (stack_top->prev) { // if stack_top has prev, it's not the fake node so it's at least root int64_t dur = get_ts() - info->stack_top->ts; int log_this_entry = self->min_duration == 0 || dur_ts_to_ns(dur) >= self->min_duration; if (log_this_entry) { PyCFunctionObject* cfunc = (PyCFunctionObject*) stack_top->func; if (!PyCFunction_Check(cfunc)) { self->collecting = 0; PyErr_WarnEx(PyExc_RuntimeWarning, "VizTracer: Unexpected function return, tracing is stopped", 1); return 0; } struct EventNode* node = get_next_node(self); node->ntype = FEE_NODE; node->ts = info->stack_top->ts; node->data.fee.dur = dur; node->tid = info->tid; node->data.fee.type = PyTrace_C_RETURN; node->data.fee.ml_name = cfunc->m_ml->ml_name; if (cfunc->m_module) { // The function belongs to a module node->data.fee.m_module = Py_NewRef(cfunc->m_module); } else { // The function is a class method node->data.fee.m_module = NULL; if (cfunc->m_self) { // It's not a static method, has __self__ node->data.fee.tp_name = cfunc->m_self->ob_type->tp_name; } else { // It's a static method, does not have __self__ node->data.fee.tp_name = NULL; } } if (CHECK_FLAG(self->check_flags, SNAPTRACE_LOG_ASYNC)) { node->data.fee.asyncio_task = Py_XNewRef(info->curr_task); } } // Finish return whether to log the data info->stack_top = info->stack_top->prev; Py_CLEAR(stack_top->args); Py_CLEAR(stack_top->func); } if (info->curr_stack_depth > 0) { info->curr_stack_depth -= 1; } return 0; cleanup_ignore: if (info) { if (info->curr_stack_depth > 0) { info->curr_stack_depth -= 1; } if (info->ignore_stack_depth > 0) { info->ignore_stack_depth -= 1; } } return 0; } // sys.setprofile mechanism int tracer_tracefunc(PyObject* obj, PyFrameObject* frame, int what, PyObject* arg) { TracerObject* self = (TracerObject*) obj; int ret = 0; if (CHECK_FLAG(self->check_flags, SNAPTRACE_IGNORE_C_FUNCTION) && (what == PyTrace_C_CALL || what == PyTrace_C_RETURN || what == PyTrace_C_EXCEPTION)) { return 0; } PyCodeObject* code = PyFrame_GetCode(frame); switch (what) { case PyTrace_CALL: ret = tracer_pycall_callback(self, code); break; case PyTrace_C_CALL: ret = tracer_ccall_callback(self, code, arg); break; case PyTrace_RETURN: ret = tracer_pyreturn_callback(self, code, arg); break; case PyTrace_C_RETURN: case PyTrace_C_EXCEPTION: ret = tracer_creturn_callback(self, code, arg); break; default: return 0; } Py_DECREF(code); return ret; } static PyObject* tracer_threadtracefunc(PyObject* obj, PyObject* args) { PyFrameObject* frame = NULL; char* event = NULL; PyObject* trace_args = NULL; int what = 0; if (!PyArg_ParseTuple(args, "OsO", &frame, &event, &trace_args)) { printf("Error when parsing arguments!\n"); exit(1); } PyEval_SetProfile(tracer_tracefunc, obj); if (!strcmp(event, "call")) { what = PyTrace_CALL; } else if (!strcmp(event, "c_call")) { what = PyTrace_C_CALL; } else if (!strcmp(event, "return")) { what = PyTrace_RETURN; } else if (!strcmp(event, "c_return")) { what = PyTrace_C_RETURN; } else if (!strcmp(event, "c_exception")) { what = PyTrace_C_EXCEPTION; } else { printf("Unexpected event type: %s\n", event); } tracer_tracefunc(obj, frame, what, trace_args); Py_RETURN_NONE; } // sys.monitoring mechanism PyObject* get_cfunc_from_callable(PyObject* callable, PyObject* self_arg) { // return a new reference if (PyCFunction_Check(callable)) { Py_INCREF(callable); return (PyObject*)((PyCFunctionObject*)callable); } if (Py_TYPE(callable) == &PyMethodDescr_Type) { /* For backwards compatibility need to * convert to builtin method */ /* If no arg, skip */ if (self_arg == sys_monitoring_missing) { return NULL; } PyObject* meth = Py_TYPE(callable)->tp_descr_get( callable, self_arg, (PyObject*)Py_TYPE(self_arg)); if (meth == NULL) { return NULL; } if (PyCFunction_Check(meth)) { return (PyObject*)((PyCFunctionObject*)meth); } } else if (Py_TYPE(callable) == &PyMethod_Type) { PyObject* func = PyMethod_GET_FUNCTION(callable); if (func && PyCFunction_Check(func)) { Py_INCREF(func); return func; } } return NULL; } PyObject* _pystart_callback(PyObject* self, PyObject *const *args, Py_ssize_t nargs) { PyCodeObject* code = (PyCodeObject*)args[0]; int ret = tracer_pycall_callback((TracerObject*)self, code); if (ret != 0) { return NULL; } Py_RETURN_NONE; } PyObject* _pyreturn_callback(PyObject* self, PyObject *const *args, Py_ssize_t nargs) { PyCodeObject* code = (PyCodeObject*)args[0]; PyObject* arg = args[2]; int ret = tracer_pyreturn_callback((TracerObject*)self, code, arg); if (ret != 0) { return NULL; } Py_RETURN_NONE; } PyObject* _ccall_callback(PyObject* self, PyObject *const *args, Py_ssize_t nargs) { PyCodeObject* code = (PyCodeObject*)args[0]; PyObject* cfunc = get_cfunc_from_callable(args[2], args[3]); if (!cfunc) { Py_RETURN_NONE; } int ret = tracer_ccall_callback((TracerObject*)self, code, cfunc); Py_DECREF(cfunc); if (ret != 0) { return NULL; } Py_RETURN_NONE; } PyObject* _creturn_callback(PyObject* self, PyObject *const *args, Py_ssize_t nargs) { PyCodeObject* code = (PyCodeObject*)args[0]; PyObject* cfunc = get_cfunc_from_callable(args[2], args[3]); if (!cfunc) { Py_RETURN_NONE; } int ret = tracer_creturn_callback((TracerObject*)self, code, cfunc); Py_DECREF(cfunc); if (ret != 0) { return NULL; } Py_RETURN_NONE; } static struct { unsigned int event; PyMethodDef callback_method; } callback_table[] = { {PY_MONITORING_EVENT_PY_START, {"_pystart_callback", (PyCFunction)_pystart_callback, METH_FASTCALL, NULL}}, {PY_MONITORING_EVENT_PY_RESUME, {"_pystart_callback", (PyCFunction)_pystart_callback, METH_FASTCALL, NULL}}, {PY_MONITORING_EVENT_PY_THROW, {"_pystart_callback", (PyCFunction)_pystart_callback, METH_FASTCALL, NULL}}, {PY_MONITORING_EVENT_PY_RETURN, {"_pyreturn_callback", (PyCFunction)_pyreturn_callback, METH_FASTCALL, NULL}}, {PY_MONITORING_EVENT_PY_YIELD, {"_pyreturn_callback", (PyCFunction)_pyreturn_callback, METH_FASTCALL, NULL}}, {PY_MONITORING_EVENT_PY_UNWIND, {"_pyreturn_callback", (PyCFunction)_pyreturn_callback, METH_FASTCALL, NULL}}, {PY_MONITORING_EVENT_CALL, {"_ccall_callback", (PyCFunction)_ccall_callback, METH_FASTCALL, NULL}}, {PY_MONITORING_EVENT_C_RETURN, {"_creturn_callback", (PyCFunction)_creturn_callback, METH_FASTCALL, NULL}}, {PY_MONITORING_EVENT_C_RAISE, {"_creturn_callback", (PyCFunction)_creturn_callback, METH_FASTCALL, NULL}}, {0, {NULL, NULL, 0, NULL}} }; int enable_monitoring(TracerObject* self) { unsigned int all_events = 0; PyObject* monitoring = PyObject_GetAttrString(sys_module, "monitoring"); if (!monitoring) { PyErr_SetString(PyExc_RuntimeError, "Failed to access sys.monitoring"); goto cleanup; } PyObject* ret = PyObject_CallMethod(monitoring, "use_tool_id", "is", SNAPTRACE_TOOL_ID, "viztracer"); if (!ret) { PyErr_Clear(); PyObject_CallMethod(monitoring, "free_tool_id", "i", SNAPTRACE_TOOL_ID); ret = PyObject_CallMethod(monitoring, "use_tool_id", "is", SNAPTRACE_TOOL_ID, "viztracer"); if (!ret) { goto cleanup; } } Py_DECREF(ret); for (int i = 0; callback_table[i].callback_method.ml_meth != 0; i++) { if (CHECK_FLAG(self->check_flags, SNAPTRACE_IGNORE_C_FUNCTION) && (callback_table[i].event == PY_MONITORING_EVENT_CALL || callback_table[i].event == PY_MONITORING_EVENT_C_RETURN || callback_table[i].event == PY_MONITORING_EVENT_C_RAISE)) { continue; } unsigned int event = (1 << callback_table[i].event); PyObject* callback = PyCFunction_New(&callback_table[i].callback_method, (PyObject*)self); PyObject* regsiter_result = PyObject_CallMethod(monitoring, "register_callback", "iiO", SNAPTRACE_TOOL_ID, event, callback); Py_DECREF(callback); if (!regsiter_result) { goto cleanup; } Py_DECREF(regsiter_result); all_events |= event; } PyObject* event_result = PyObject_CallMethod(monitoring, "set_events", "ii", SNAPTRACE_TOOL_ID, all_events); if (!event_result) { goto cleanup; } Py_DECREF(event_result); cleanup: Py_XDECREF(monitoring); if (PyErr_Occurred()) { return -1; } return 0; } int disable_monitoring(TracerObject* self) { PyObject* monitoring = PyObject_GetAttrString(sys_module, "monitoring"); if (!monitoring) { PyErr_SetString(PyExc_RuntimeError, "Failed to access sys.monitoring"); goto cleanup; } PyObject* curr_tool = PyObject_CallMethod(monitoring, "get_tool", "i", SNAPTRACE_TOOL_ID); if (!curr_tool) { goto cleanup; } if (curr_tool == Py_None) { // No current tool, nothing to do Py_DECREF(curr_tool); goto cleanup; } PyObject* event_result = PyObject_CallMethod(monitoring, "set_events", "ii", SNAPTRACE_TOOL_ID, 0); if (!event_result) { goto cleanup; } Py_DECREF(event_result); for (int i = 0; callback_table[i].callback_method.ml_meth != 0; i++) { if (CHECK_FLAG(self->check_flags, SNAPTRACE_IGNORE_C_FUNCTION) && (callback_table[i].event == PY_MONITORING_EVENT_CALL || callback_table[i].event == PY_MONITORING_EVENT_C_RETURN || callback_table[i].event == PY_MONITORING_EVENT_C_RAISE)) { continue; } unsigned int event = (1 << callback_table[i].event); PyObject* regsiter_result = PyObject_CallMethod(monitoring, "register_callback", "iiO", SNAPTRACE_TOOL_ID, event, Py_None); if (!regsiter_result) { goto cleanup; } Py_DECREF(regsiter_result); } PyObject* ret = PyObject_CallMethod(monitoring, "free_tool_id", "i", SNAPTRACE_TOOL_ID); if (!ret) { goto cleanup; } Py_DECREF(ret); cleanup: Py_XDECREF(monitoring); if (PyErr_Occurred()) { return -1; } return 0; } // ============================================================================= // snaptrace.Tracer methods // ============================================================================= static void tracer__flush_unfinished(TracerObject* self, int flush_as_finish) { SNAPTRACE_THREAD_PROTECT_START(self); struct MetadataNode* meta_node = self->metadata_head; while(meta_node) { struct ThreadInfo* info = meta_node->thread_info; if (info == NULL) { meta_node = meta_node->next; continue; } struct FunctionNode* func_node = info->stack_top; while (func_node->prev && info->curr_stack_depth > 0) { // Fake a FEE node to get the name struct EventNode* fee_node = get_next_node(self); fee_node->ntype = FEE_NODE; fee_node->ts = func_node->ts; fee_node->tid = meta_node->tid; if (flush_as_finish) { fee_node->data.fee.dur = get_ts() - func_node->ts; } else { fee_node->data.fee.dur = 0; } if (PyCode_Check(func_node->func)) { PyCodeObject* code = (PyCodeObject*) func_node->func; if (flush_as_finish) { fee_node->data.fee.type = PyTrace_RETURN; } else { fee_node->data.fee.type = PyTrace_CALL; } fee_node->data.fee.code = (PyCodeObject*)Py_NewRef(code); } else if (PyCFunction_Check(func_node->func)) { PyCFunctionObject* cfunc = (PyCFunctionObject*) func_node->func; if (flush_as_finish) { fee_node->data.fee.type = PyTrace_C_RETURN; } else { fee_node->data.fee.type = PyTrace_C_CALL; } fee_node->data.fee.ml_name = cfunc->m_ml->ml_name; if (cfunc->m_module) { // The function belongs to a module fee_node->data.fee.m_module = Py_NewRef(cfunc->m_module); } else { // The function is a class method fee_node->data.fee.m_module = NULL; if (cfunc->m_self) { // It's not a static method, has __self__ fee_node->data.fee.tp_name = cfunc->m_self->ob_type->tp_name; } else { // It's a static method, does not have __self__ fee_node->data.fee.tp_name = NULL; } } } // Clean up the node Py_CLEAR(func_node->args); Py_CLEAR(func_node->func); func_node = func_node->prev; info->curr_stack_depth -= 1; } info->stack_top = func_node; meta_node = meta_node->next; } SNAPTRACE_THREAD_PROTECT_END(self); } static PyObject* tracer_start(TracerObject* self, PyObject* Py_UNUSED(unused)) { if (curr_tracer) { printf("Warning! Overwrite tracer! You should not have two VizTracer recording at the same time!\n"); } else { curr_tracer = self; } self->collecting = 1; #if PY_VERSION_HEX >= 0x030C0000 if (enable_monitoring(self) != 0) { return NULL; }; #else // Python: threading.setprofile(tracefunc) { static PyMethodDef ml = {"threadtracefunc", (PyCFunction)tracer_threadtracefunc, METH_VARARGS, "trace function"}; PyObject* handler = PyCFunction_New(&ml, (PyObject*)self); if (PyObject_CallMethod(threading_module, "setprofile", "N", handler) == NULL) { perror("Failed to call threading.setprofile() properly"); exit(-1); } } PyEval_SetProfile(tracer_tracefunc, (PyObject*)self); #endif Py_RETURN_NONE; } static PyObject* tracer_stop(TracerObject* self, PyObject* stop_option) { if (self) { struct ThreadInfo* info = get_thread_info(self); if (!info) { self->collecting = 0; PyErr_SetString(PyExc_RuntimeError, "VizTracer: Failed to get thread info. This should not happen."); return NULL; } self->collecting = 0; if (PyUnicode_CheckExact(stop_option) && strcmp(PyUnicode_AsUTF8(stop_option), "flush_as_finish") == 0) { tracer__flush_unfinished(self, 1); } else { tracer__flush_unfinished(self, 0); } info->curr_stack_depth = 0; info->ignore_stack_depth = 0; info->paused = 0; } curr_tracer = NULL; #if PY_VERSION_HEX >= 0x030C0000 if (disable_monitoring(self) != 0) { return NULL; } #else PyEval_SetProfile(NULL, NULL); // threading.setprofile(None) PyObject* result = PyObject_CallMethod(threading_module, "setprofile", "O", Py_None); if (result != NULL) { Py_DECREF(result); } #endif Py_RETURN_NONE; } static PyObject* tracer_pause(TracerObject* self, PyObject* Py_UNUSED(unused)) { if (self->collecting) { struct ThreadInfo* info = get_thread_info((TracerObject*)self); if (!info) { self->collecting = 0; PyErr_SetString(PyExc_RuntimeError, "VizTracer: Failed to get thread info. This should not happen."); return NULL; } if (!info->paused) { // When we enter this function, tracer.pause has been called. // We need to reduce the ignore_stack_depth to simulate the // returns from these two functions info->ignore_stack_depth -= 1; info->paused = 1; #if PY_VERSION_HEX >= 0x030C0000 if (disable_monitoring(self) != 0) { return NULL; } #else PyEval_SetProfile(NULL, NULL); #endif } } Py_RETURN_NONE; } static PyObject* tracer_resume(TracerObject* self, PyObject* Py_UNUSED(unused)) { if (self->collecting) { struct ThreadInfo* info = get_thread_info(self); if (!info) { self->collecting = 0; PyErr_SetString(PyExc_RuntimeError, "VizTracer: Failed to get thread info. This should not happen."); return NULL; } if (info->paused) { info->paused = 0; #if PY_VERSION_HEX >= 0x030C0000 if (enable_monitoring(self) != 0) { return NULL; } #else PyEval_SetProfile(tracer_tracefunc, (PyObject*)self); #endif } } Py_RETURN_NONE; } static PyObject* tracer_load(TracerObject* self, PyObject* Py_UNUSED(unused)) { PyObject* lst = PyList_New(0); SNAPTRACE_THREAD_PROTECT_START(self); struct EventNode* curr = self->buffer + self->buffer_head_idx; PyObject* pid = NULL; PyObject* cat_fee = PyUnicode_FromString("FEE"); PyObject* cat_instant = PyUnicode_FromString("INSTANT"); PyObject* ph_B = PyUnicode_FromString("B"); PyObject* ph_i = PyUnicode_FromString("i"); PyObject* ph_X = PyUnicode_FromString("X"); PyObject* ph_C = PyUnicode_FromString("C"); PyObject* ph_M = PyUnicode_FromString("M"); PyObject* key_ph = PyUnicode_FromString("ph"); PyObject* key_cat = PyUnicode_FromString("cat"); PyObject* key_pid = PyUnicode_FromString("pid"); PyObject* key_tid = PyUnicode_FromString("tid"); PyObject* key_ts = PyUnicode_FromString("ts"); PyObject* key_dur = PyUnicode_FromString("dur"); PyObject* key_name = PyUnicode_FromString("name"); PyObject* key_args = PyUnicode_FromString("args"); PyObject* key_s = PyUnicode_FromString("s"); PyObject* key_id = PyUnicode_FromString("id"); PyObject* key_return_value = PyUnicode_FromString("return_value"); unsigned long counter = 0; unsigned long prev_counter = 0; struct MetadataNode* metadata_node = NULL; PyObject* task_dict = NULL; PyObject* func_name_dict = PyDict_New(); if (self->fix_pid > 0) { pid = PyLong_FromLong(self->fix_pid); } else { #if _WIN32 pid = PyLong_FromLong(GetCurrentProcessId()); #else pid = PyLong_FromLong(getpid()); #endif } // == Load the metadata first == // Process Name { PyObject* dict = PyDict_New(); PyObject* args = PyDict_New(); PyObject* process_name_string = PyUnicode_FromString("process_name"); PyObject* process_name = NULL; if (self->process_name) { process_name = Py_NewRef(self->process_name); } else { PyObject* current_process_method = PyObject_GetAttrString(multiprocessing_module, "current_process"); if (!current_process_method) { perror("Failed to access multiprocessing.current_process()"); exit(-1); } PyObject* current_process = PyObject_CallNoArgs(current_process_method); if (!current_process_method) { perror("Failed to access multiprocessing.current_process()"); exit(-1); } process_name = PyObject_GetAttrString(current_process, "name"); Py_DECREF(current_process_method); Py_DECREF(current_process); } PyDict_SetItem(dict, key_ph, ph_M); PyDict_SetItem(dict, key_pid, pid); PyDict_SetItem(dict, key_tid, pid); PyDict_SetItem(dict, key_name, process_name_string); Py_DECREF(process_name_string); PyDict_SetItem(args, key_name, process_name); PyDict_SetItem(dict, key_args, args); Py_DECREF(args); Py_DECREF(process_name); PyList_Append(lst, dict); Py_DECREF(dict); } // Thread Name metadata_node = self->metadata_head; while (metadata_node) { PyObject* dict = PyDict_New(); PyObject* args = PyDict_New(); PyObject* tid = PyLong_FromLong(metadata_node->tid); PyObject* thread_name_string = PyUnicode_FromString("thread_name"); PyDict_SetItem(dict, key_ph, ph_M); PyDict_SetItem(dict, key_pid, pid); PyDict_SetItem(dict, key_tid, tid); Py_DECREF(tid); PyDict_SetItem(dict, key_name, thread_name_string); Py_DECREF(thread_name_string); PyDict_SetItem(args, key_name, metadata_node->name); PyDict_SetItem(dict, key_args, args); Py_DECREF(args); metadata_node = metadata_node->next; PyList_Append(lst, dict); Py_DECREF(dict); } // Task Name if using LOG_ASYNC // We need to make up some thread id for the task if (CHECK_FLAG(self->check_flags, SNAPTRACE_LOG_ASYNC)) { task_dict = PyDict_New(); } while (curr != self->buffer + self->buffer_tail_idx) { struct EventNode* node = curr; PyObject* dict = PyDict_New(); PyObject* name = NULL; PyObject* tid = PyLong_FromLong(node->tid); PyObject* ts = PyFloat_FromDouble(system_ts_to_us(node->ts)); PyDict_SetItem(dict, key_pid, pid); if (CHECK_FLAG(self->check_flags, SNAPTRACE_LOG_ASYNC)) { if (curr->data.fee.asyncio_task == NULL) { PyDict_SetItem(dict, key_tid, tid); } else { PyObject* task_id = PyLong_FromUnsignedLongLong(((uintptr_t)curr->data.fee.asyncio_task) & 0xffffff); PyDict_SetItem(dict, key_tid, task_id); if (!PyDict_Contains(task_dict, task_id)) { PyObject* task_name = NULL; if (PyObject_HasAttrString(curr->data.fee.asyncio_task, "get_name")) { PyObject* task_name_method = PyObject_GetAttrString(curr->data.fee.asyncio_task, "get_name"); task_name = PyObject_CallNoArgs(task_name_method); Py_DECREF(task_name_method); } else if (PyObject_HasAttrString(curr->data.fee.asyncio_task, "name")) { task_name = PyObject_GetAttrString(curr->data.fee.asyncio_task, "name"); } else { task_name = PyUnicode_FromString("Task"); } PyDict_SetItem(task_dict, task_id, task_name); Py_DECREF(task_name); } Py_DECREF(task_id); } } else { PyDict_SetItem(dict, key_tid, tid); } Py_DECREF(tid); PyDict_SetItem(dict, key_ts, ts); Py_DECREF(ts); switch (node->ntype) { case FEE_NODE: name = get_name_from_fee_node(node, func_name_dict); if (node->data.fee.type == PyTrace_CALL || node->data.fee.type == PyTrace_C_CALL) { PyDict_SetItem(dict, key_ph, ph_B); } else { PyDict_SetItem(dict, key_ph, ph_X); PyObject* dur = PyFloat_FromDouble(dur_ts_to_us(node->data.fee.dur)); PyDict_SetItem(dict, key_dur, dur); Py_DECREF(dur); } PyDict_SetItem(dict, key_name, name); Py_DECREF(name); PyObject* arg_dict = Py_XNewRef(node->data.fee.args); if (node->data.fee.retval) { if (!arg_dict) { arg_dict = PyDict_New(); } PyDict_SetItem(arg_dict, key_return_value, node->data.fee.retval); } if (arg_dict) { PyDict_SetItem(dict, key_args, arg_dict); Py_DECREF(arg_dict); } PyDict_SetItem(dict, key_cat, cat_fee); break; case INSTANT_NODE: PyDict_SetItem(dict, key_ph, ph_i); PyDict_SetItem(dict, key_cat, cat_instant); PyDict_SetItem(dict, key_name, node->data.instant.name); PyDict_SetItem(dict, key_args, node->data.instant.args); PyDict_SetItem(dict, key_s, node->data.instant.scope); break; case COUNTER_NODE: PyDict_SetItem(dict, key_ph, ph_C); PyDict_SetItem(dict, key_name, node->data.counter.name); PyDict_SetItem(dict, key_args, node->data.counter.args); break; case OBJECT_NODE: PyDict_SetItem(dict, key_ph, node->data.object.ph); PyDict_SetItem(dict, key_id, node->data.object.id); PyDict_SetItem(dict, key_name, node->data.object.name); if (!(node->data.object.args == Py_None)) { PyDict_SetItem(dict, key_args, node->data.object.args); } break; case RAW_NODE: // We still need to tid from node and we need the pid tid = PyLong_FromLong(node->tid); Py_DECREF(dict); dict = node->data.raw; PyDict_SetItem(dict, key_pid, pid); PyDict_SetItem(dict, key_tid, tid); Py_DECREF(tid); Py_INCREF(dict); break; default: printf("Unknown Node Type!\n"); exit(1); } clear_node(node); PyList_Append(lst, dict); Py_DECREF(dict); curr = curr + 1; if (curr == self->buffer + self->buffer_size) { curr = self->buffer; } counter += 1; if (counter - prev_counter > 10000 && (counter - prev_counter) / ((1 + self->total_entries)/100) > 0) { verbose_printf(self, 1, "Loading data, %lu / %lu\r", counter, self->total_entries); prev_counter = counter; } } if (CHECK_FLAG(self->check_flags, SNAPTRACE_LOG_ASYNC)) { Py_ssize_t pos = 0; PyObject* key = NULL; PyObject* value = NULL; while (PyDict_Next(task_dict, &pos, &key, &value)) { PyObject* dict = PyDict_New(); PyObject* args = PyDict_New(); PyObject* tid = key; PyObject* thread_name_string = PyUnicode_FromString("thread_name"); PyDict_SetItem(dict, key_ph, ph_M); PyDict_SetItem(dict, key_pid, pid); PyDict_SetItem(dict, key_tid, tid); PyDict_SetItem(dict, key_name, thread_name_string); Py_DECREF(thread_name_string); PyDict_SetItem(args, key_name, value); PyDict_SetItem(dict, key_args, args); Py_DECREF(args); PyList_Append(lst, dict); } } verbose_printf(self, 1, "Loading finish \n"); Py_DECREF(pid); Py_DECREF(cat_fee); Py_DECREF(cat_instant); Py_DECREF(ph_B); Py_DECREF(ph_i); Py_DECREF(ph_X); Py_DECREF(ph_C); Py_DECREF(ph_M); Py_DECREF(func_name_dict); Py_DECREF(key_ph); Py_DECREF(key_cat); Py_DECREF(key_pid); Py_DECREF(key_tid); Py_DECREF(key_ts); Py_DECREF(key_dur); Py_DECREF(key_name); Py_DECREF(key_args); Py_DECREF(key_s); Py_DECREF(key_id); Py_DECREF(key_return_value); self->buffer_tail_idx = self->buffer_head_idx; SNAPTRACE_THREAD_PROTECT_END(self); return lst; } static PyObject* tracer_dump(TracerObject* self, PyObject* args, PyObject* kw) { const char* filename = NULL; int sanitize_function_name = 0; static char* kwlist[] = {"filename", "sanitize_function_name", NULL}; FILE* fptr = NULL; if (!PyArg_ParseTupleAndKeywords(args, kw, "s|p", kwlist, &filename, &sanitize_function_name)) { return NULL; } fptr = fopen(filename, "w"); if (!fptr) { PyErr_Format(PyExc_ValueError, "Can't open file %s to write", filename); return NULL; } fprintf(fptr, "{\"traceEvents\":["); SNAPTRACE_THREAD_PROTECT_START(self); struct EventNode* curr = self->buffer + self->buffer_head_idx; unsigned long pid = 0; uint8_t overflowed = ((self->buffer_tail_idx + 1) % self->buffer_size) == self->buffer_head_idx; struct MetadataNode* metadata_node = NULL; PyObject* task_dict = NULL; if (self->fix_pid > 0) { pid = self->fix_pid; } else { #if _WIN32 pid = GetCurrentProcessId(); #else pid = getpid(); #endif } // == Load the metadata first == // Process Name { PyObject* process_name = NULL; if (self->process_name) { process_name = Py_NewRef(self->process_name); } else { PyObject* current_process_method = PyObject_GetAttrString(multiprocessing_module, "current_process"); if (!current_process_method) { perror("Failed to access multiprocessing.current_process()"); exit(-1); } PyObject* current_process = PyObject_CallNoArgs(current_process_method); if (!current_process_method) { perror("Failed to access multiprocessing.current_process()"); exit(-1); } process_name = PyObject_GetAttrString(current_process, "name"); Py_DECREF(current_process_method); Py_DECREF(current_process); } fprintf(fptr, "{\"ph\":\"M\",\"pid\":%lu,\"tid\":%lu,\"name\":\"process_name\",\"args\":{\"name\":\"", pid, pid); fprint_escape(fptr, PyUnicode_AsUTF8(process_name)); fprintf(fptr, "\"}},"); Py_DECREF(process_name); } // Thread Name metadata_node = self->metadata_head; while (metadata_node) { fprintf(fptr, "{\"ph\":\"M\",\"pid\":%lu,\"tid\":%lu,\"name\":\"thread_name\",\"args\":{\"name\":\"", pid, metadata_node->tid); fprint_escape(fptr, PyUnicode_AsUTF8(metadata_node->name)); fprintf(fptr, "\"}},"); metadata_node = metadata_node->next; } // Task Name if using LOG_ASYNC // We need to make up some thread id for the task if (CHECK_FLAG(self->check_flags, SNAPTRACE_LOG_ASYNC)) { task_dict = PyDict_New(); } while (curr != self->buffer + self->buffer_tail_idx) { struct EventNode* node = curr; long long ts_long = system_ts_to_ns(node->ts); unsigned long tid = node->tid; if (CHECK_FLAG(self->check_flags, SNAPTRACE_LOG_ASYNC)) { if (curr->data.fee.asyncio_task != NULL) { tid = (unsigned long)(((uintptr_t)curr->data.fee.asyncio_task) & 0xffffff); PyObject* task_id = PyLong_FromLong(tid); if (!PyDict_Contains(task_dict, task_id)) { PyObject* task_name = NULL; if (PyObject_HasAttrString(curr->data.fee.asyncio_task, "get_name")) { PyObject* task_name_method = PyObject_GetAttrString(curr->data.fee.asyncio_task, "get_name"); task_name = PyObject_CallNoArgs(task_name_method); Py_DECREF(task_name_method); } else if (PyObject_HasAttrString(curr->data.fee.asyncio_task, "name")) { task_name = PyObject_GetAttrString(curr->data.fee.asyncio_task, "name"); } else { task_name = PyUnicode_FromString("Task"); } PyDict_SetItem(task_dict, task_id, task_name); Py_DECREF(task_name); } Py_DECREF(task_id); } } if (node->ntype != RAW_NODE) { // printf("%f") is about 10x slower than print("%d") fprintf(fptr, "{\"pid\":%lu,\"tid\":%lu,\"ts\":%lld.%03lld,", pid, tid, ts_long / 1000, ts_long % 1000); } switch (node->ntype) { case FEE_NODE: ; long long dur_long = dur_ts_to_ns(node->data.fee.dur); char ph = 'X'; if (node->data.fee.type == PyTrace_CALL || node->data.fee.type == PyTrace_C_CALL) { ph = 'B'; } fprintf(fptr, "\"ph\":\"%c\",\"cat\":\"fee\",\"dur\":%lld.%03lld,\"name\":\"", ph, dur_long / 1000, dur_long % 1000); fprintfeename(fptr, node, sanitize_function_name); fputc('\"', fptr); PyObject* arg_dict = NULL; if (node->data.fee.args) { arg_dict = node->data.fee.args; Py_INCREF(arg_dict); } if (node->data.fee.retval) { if (!arg_dict) { arg_dict = PyDict_New(); } PyDict_SetItemString(arg_dict, "return_value", node->data.fee.retval); } if (arg_dict) { fprintf(fptr, ",\"args\":"); fprintjson(fptr, arg_dict); Py_DECREF(arg_dict); } break; case INSTANT_NODE: fprintf(fptr, "\"ph\":\"i\",\"cat\":\"instant\",\"name\":\""); fprint_escape(fptr, PyUnicode_AsUTF8(node->data.instant.name)); if (node->data.instant.args == Py_None) { fprintf(fptr, "\",\"s\":\"%s\"", PyUnicode_AsUTF8(node->data.instant.scope)); } else { fprintf(fptr, "\",\"s\":\"%s\",\"args\":", PyUnicode_AsUTF8(node->data.instant.scope)); fprintjson(fptr, node->data.instant.args); } break; case COUNTER_NODE: fprintf(fptr, "\"ph\":\"C\",\"name\":\""); fprint_escape(fptr, PyUnicode_AsUTF8(node->data.counter.name)); fprintf(fptr, "\",\"args\":"); fprintjson(fptr, node->data.counter.args); break; case OBJECT_NODE: fprintf(fptr, "\"ph\":\"%s\",\"id\":\"%s\",\"name\":\"", PyUnicode_AsUTF8(node->data.object.ph), PyUnicode_AsUTF8(node->data.object.id)); fprint_escape(fptr, PyUnicode_AsUTF8(node->data.object.name)); fputc('\"', fptr); if (!(node->data.object.args == Py_None)) { fprintf(fptr, ",\"args\":"); fprintjson(fptr, node->data.object.args); } break; case RAW_NODE: // We still need to tid from node and we need the pid ; PyObject* py_pid = PyLong_FromLong(pid); PyObject* py_tid = PyLong_FromLong(node->tid); PyObject* dict = node->data.raw; PyDict_SetItemString(dict, "pid", py_pid); PyDict_SetItemString(dict, "tid", py_tid); fprintjson(fptr, dict); fputc(',', fptr); Py_DECREF(py_pid); Py_DECREF(py_tid); break; default: printf("Unknown Node Type!\n"); exit(1); } if (node->ntype != RAW_NODE) { fputs("},", fptr); } clear_node(node); curr = curr + 1; if (curr == self->buffer + self->buffer_size) { curr = self->buffer; } } if (CHECK_FLAG(self->check_flags, SNAPTRACE_LOG_ASYNC)) { Py_ssize_t pos = 0; PyObject* key = NULL; PyObject* value = NULL; while (PyDict_Next(task_dict, &pos, &key, &value)) { PyObject* tid_repr = PyObject_Repr(key); fprintf(fptr, "{\"ph\":\"M\",\"pid\":%lu,\"tid\":%s,\"name\":\"thread_name\",\"args\":{\"name\":\"%s\"}},", pid, PyUnicode_AsUTF8(tid_repr), PyUnicode_AsUTF8(value)); Py_DECREF(tid_repr); } Py_DECREF(task_dict); } self->buffer_tail_idx = self->buffer_head_idx; fseek(fptr, -1, SEEK_CUR); fprintf(fptr, "], \"viztracer_metadata\": {\"overflow\":%s", overflowed? "true": "false"); if (self->sync_marker > 0) { long long ts_sync_marker = system_ts_to_ns(self->sync_marker); fprintf(fptr, ",\"sync_marker\":%lld.%03lld", ts_sync_marker / 1000, ts_sync_marker % 1000); } fprintf(fptr, "}}"); fclose(fptr); SNAPTRACE_THREAD_PROTECT_END(self); Py_RETURN_NONE; } static PyObject* tracer_clear(TracerObject* self, PyObject* Py_UNUSED(unused)) { struct EventNode* curr = self->buffer + self->buffer_head_idx; while (curr != self->buffer + self->buffer_tail_idx) { struct EventNode* node = curr; clear_node(node); curr = curr + 1; if (curr == self->buffer + self->buffer_size) { curr = self->buffer; } } self->buffer_tail_idx = self->buffer_head_idx; Py_RETURN_NONE; } static PyObject* tracer_setpid(TracerObject* self, PyObject* args) { long input_pid = -1; if (!PyArg_ParseTuple(args, "|l", &input_pid)) { printf("Parsing error on setpid\n"); } if (input_pid >= 0) { self->fix_pid = input_pid; } else { #if _WIN32 self->fix_pid = GetCurrentProcessId(); #else self->fix_pid = getpid(); #endif } Py_RETURN_NONE; } static PyObject* tracer_getts(TracerObject* self, PyObject* Py_UNUSED(unused)) { int64_t ts = get_ts(); double us = system_ts_to_us(ts); return PyFloat_FromDouble(us); } static PyObject* tracer_getbasetime(TracerObject* self, PyObject* Py_UNUSED(unused)) { return PyLong_FromLongLong(get_base_time_ns()); } static PyObject* tracer_resetstack(TracerObject* self, PyObject* Py_UNUSED(unused)) { struct ThreadInfo* info = get_thread_info(self); if (!info) { PyErr_SetString(PyExc_RuntimeError, "VizTracer: Failed to get thread info. This should not happen."); return NULL; } info->curr_stack_depth = 0; info->ignore_stack_depth = 0; struct FunctionNode* stack_top = info->stack_top; clear_stack(&stack_top); info->stack_top = stack_top; Py_RETURN_NONE; } static PyObject* tracer_addinstant(TracerObject* self, PyObject* args, PyObject* kw) { PyObject* name = NULL; PyObject* instant_args = NULL; PyObject* scope = NULL; struct EventNode* node = NULL; static char* kwlist[] = {"name", "args", "scope", NULL}; const char* allowed_scope[] = {"g", "p", "t"}; if (!self->collecting) { Py_RETURN_NONE; } if (!PyArg_ParseTupleAndKeywords(args, kw, "O|OO", kwlist, &name, &instant_args, &scope)) { return NULL; } struct ThreadInfo* info = get_thread_info(self); if (!info) { PyErr_SetString(PyExc_RuntimeError, "VizTracer: Failed to get thread info. This should not happen."); return NULL; } if (!instant_args) { instant_args = Py_None; } if (!scope) { scope = PyUnicode_FromString("g"); } else { if (!PyUnicode_CheckExact(scope)) { PyErr_SetString(PyExc_TypeError, "Scope must be a string"); return NULL; } for (int i = 0; i < 3; i++) { if (strcmp(PyUnicode_AsUTF8(scope), allowed_scope[i]) == 0) { break; } if (i == 2) { PyErr_SetString(PyExc_ValueError, "Scope must be one of 'g', 'p', 't'"); return NULL; } } Py_INCREF(scope); } node = get_next_node(self); node->ntype = INSTANT_NODE; node->tid = info->tid; node->ts = get_ts(); node->data.instant.name = Py_NewRef(name); node->data.instant.args = Py_NewRef(instant_args); node->data.instant.scope = scope; Py_RETURN_NONE; } static PyObject* tracer_addfunctionarg(TracerObject* self, PyObject* args, PyObject* kw) { PyObject* key = NULL; PyObject* value = NULL; static char* kwlist[] = {"key", "value", NULL}; if (!self->collecting) { Py_RETURN_NONE; } if (!PyArg_ParseTupleAndKeywords(args, kw, "OO", kwlist, &key, &value)) { return NULL; } struct ThreadInfo* info = get_thread_info(self); if (!info) { PyErr_SetString(PyExc_RuntimeError, "VizTracer: Failed to get thread info. This should not happen."); return NULL; } struct FunctionNode* fnode = info->stack_top; if (!fnode->args) { fnode->args = PyDict_New(); } PyDict_SetItem(fnode->args, key, value); Py_RETURN_NONE; } static PyObject* tracer_addcounter(TracerObject* self, PyObject* args, PyObject* kw) { PyObject* name = NULL; PyObject* counter_args = NULL; static char* kwlist[] = {"name", "args", NULL}; struct EventNode* node = NULL; if (!self->collecting) { Py_RETURN_NONE; } if (!PyArg_ParseTupleAndKeywords(args, kw, "OO", kwlist, &name, &counter_args)) { return NULL; } struct ThreadInfo* info = get_thread_info(self); if (!info) { PyErr_SetString(PyExc_RuntimeError, "VizTracer: Failed to get thread info. This should not happen."); return NULL; } node = get_next_node(self); node->ntype = COUNTER_NODE; node->tid = info->tid; node->ts = get_ts(); node->data.counter.name = Py_NewRef(name); node->data.counter.args = Py_NewRef(counter_args); Py_RETURN_NONE; } static PyObject* tracer_addobject(TracerObject* self, PyObject* args, PyObject* kw) { PyObject* ph = NULL; PyObject* id = NULL; PyObject* name = NULL; PyObject* object_args = NULL; static char* kwlist[] = {"ph", "obj_id", "name", "args", NULL}; struct EventNode* node = NULL; if (!self->collecting) { Py_RETURN_NONE; } if (!PyArg_ParseTupleAndKeywords(args, kw, "OOO|O", kwlist, &ph, &id, &name, &object_args)) { return NULL; } struct ThreadInfo* info = get_thread_info(self); if (!info) { PyErr_SetString(PyExc_RuntimeError, "VizTracer: Failed to get thread info. This should not happen."); return NULL; } if (!object_args) { object_args = Py_None; } node = get_next_node(self); node->ntype = OBJECT_NODE; node->tid = info->tid; node->ts = get_ts(); node->data.object.ph = Py_NewRef(ph); node->data.object.id = Py_NewRef(id); node->data.object.name = Py_NewRef(name); node->data.object.args = Py_NewRef(object_args); Py_RETURN_NONE; } static PyObject* tracer_addraw(TracerObject* self, PyObject* args, PyObject* kw) { PyObject* raw = NULL; static char* kwlist[] = {"raw", NULL}; struct EventNode* node = NULL; if (!PyArg_ParseTupleAndKeywords(args, kw, "O", kwlist, &raw)) { return NULL; } struct ThreadInfo* info = get_thread_info(self); if (!info) { PyErr_SetString(PyExc_RuntimeError, "VizTracer: Failed to get thread info. This should not happen."); return NULL; } node = get_next_node(self); node->tid = info->tid; node->ntype = RAW_NODE; node->data.raw = Py_NewRef(raw); Py_RETURN_NONE; } static PyObject* tracer_setignorestackcounter(TracerObject* self, PyObject* value) { int current_value = 0; if (!PyLong_Check(value)) { PyErr_SetString(PyExc_TypeError, "value must be an integer"); return NULL; } struct ThreadInfo* info = get_thread_info(self); if (!info) { PyErr_SetString(PyExc_RuntimeError, "VizTracer: Failed to get thread info. This should not happen."); return NULL; } current_value = info->ignore_stack_depth; // +1 to compensate for this call so when it returns, the value is correct info->ignore_stack_depth = PyLong_AsLong(value) + 1; // -1 is the actual ignore stack depth before this call return Py_BuildValue("i", current_value - 1); } static PyObject* tracer_getfunctionarg(TracerObject* self, PyObject* Py_UNUSED(unused)) { struct ThreadInfo* info = get_thread_info(self); if (!info) { PyErr_SetString(PyExc_RuntimeError, "VizTracer: Failed to get thread info. This should not happen."); return NULL; } struct FunctionNode* fnode = info->stack_top; if (!fnode->args) { Py_RETURN_NONE; } return Py_NewRef(fnode->args); } static PyObject* tracer_set_sync_marker(TracerObject* self, PyObject* Py_UNUSED(unused)) { if (self->sync_marker != 0) { PyErr_WarnFormat(PyExc_RuntimeWarning, 1, "Synchronization marker already set"); } self->sync_marker = get_ts(); Py_RETURN_NONE; } static PyObject* tracer_get_sync_marker(TracerObject* self, PyObject* Py_UNUSED(unused)) { if (self->sync_marker == 0) { Py_RETURN_NONE; } double ts_sync_marker = system_ts_to_us(self->sync_marker); return PyFloat_FromDouble(ts_sync_marker); } static PyMethodDef Tracer_methods[] = { {"threadtracefunc", (PyCFunction)tracer_threadtracefunc, METH_VARARGS, "trace function"}, {"start", (PyCFunction)tracer_start, METH_NOARGS, "start profiling"}, {"stop", (PyCFunction)tracer_stop, METH_O, "stop profiling"}, {"load", (PyCFunction)tracer_load, METH_NOARGS, "load buffer"}, {"dump", (PyCFunction)tracer_dump, METH_VARARGS|METH_KEYWORDS, "dump buffer to file"}, {"clear", (PyCFunction)tracer_clear, METH_NOARGS, "clear buffer"}, {"setpid", (PyCFunction)tracer_setpid, METH_VARARGS, "set fixed pid"}, {"add_instant", (PyCFunction)tracer_addinstant, METH_VARARGS|METH_KEYWORDS, "add instant event"}, {"add_counter", (PyCFunction)tracer_addcounter, METH_VARARGS|METH_KEYWORDS, "add counter event"}, {"add_object", (PyCFunction)tracer_addobject, METH_VARARGS|METH_KEYWORDS, "add object event"}, {"add_raw", (PyCFunction)tracer_addraw, METH_VARARGS|METH_KEYWORDS, "add raw event"}, {"add_func_args", (PyCFunction)tracer_addfunctionarg, METH_VARARGS|METH_KEYWORDS, "add function arg"}, {"get_func_args", (PyCFunction)tracer_getfunctionarg, METH_NOARGS, "get current function arg"}, {"getts", (PyCFunction)tracer_getts, METH_NOARGS, "get timestamp"}, {"get_base_time", (PyCFunction)tracer_getbasetime, METH_NOARGS, "get base time in nanoseconds"}, {"reset_stack", (PyCFunction)tracer_resetstack, METH_NOARGS, "reset stack"}, {"pause", (PyCFunction)tracer_pause, METH_NOARGS, "pause profiling"}, {"resume", (PyCFunction)tracer_resume, METH_NOARGS, "resume profiling"}, {"setignorestackcounter", (PyCFunction)tracer_setignorestackcounter, METH_O, "reset ignore stack depth"}, {"set_sync_marker", (PyCFunction)tracer_set_sync_marker, METH_NOARGS, "set current timestamp to synchronization marker"}, {"get_sync_marker", (PyCFunction)tracer_get_sync_marker, METH_NOARGS, "get synchronization marker or None if not set"}, {NULL, NULL, 0, NULL} }; // =========================================================================== // snaptrace.Tracer internals // =========================================================================== static PyObject* Tracer_New(PyTypeObject* type, PyObject* args, PyObject* kwargs) { TracerObject* self = (TracerObject*) type->tp_alloc(type, 0); if (self) { self->collecting = 0; self->fix_pid = 0; self->total_entries = 0; self->check_flags = 0; self->verbose = 0; self->lib_file_path = NULL; self->max_stack_depth = 0; self->include_files = NULL; self->exclude_files = NULL; self->min_duration = 0; self->buffer = NULL; self->buffer_head_idx = 0; self->buffer_tail_idx = 0; self->sync_marker = 0; self->metadata_head = NULL; } return (PyObject*) self; } static int Tracer_Init(TracerObject* self, PyObject* args, PyObject* kwargs) { if (!PyArg_ParseTuple(args, "l", &self->buffer_size)) { PyErr_SetString(PyExc_TypeError, "You need to specify buffer size when initializing Tracer"); return -1; } // We need an extra slot for circular buffer self->buffer_size += 1; self->buffer = (struct EventNode*) PyMem_Calloc(self->buffer_size, sizeof(struct EventNode)); if (!self->buffer) { PyErr_NoMemory(); return -1; } #if _WIN32 if ((self->dwTlsIndex = TlsAlloc()) == TLS_OUT_OF_INDEXES) { printf("Error on TLS!\n"); exit(-1); } #else if (pthread_key_create(&self->thread_key, snaptrace_threaddestructor)) { perror("Failed to create Tss_Key"); exit(-1); } #endif return 0; } static void Tracer_dealloc(TracerObject* self) { tracer_clear(self, NULL); if (self->lib_file_path) { PyMem_FREE(self->lib_file_path); } Py_XDECREF(self->include_files); Py_XDECREF(self->exclude_files); PyMem_FREE(self->buffer); struct MetadataNode* node = self->metadata_head; struct MetadataNode* prev = NULL; while (node) { prev = node; Py_CLEAR(node->name); node = node->next; PyMem_FREE(prev); } Py_TYPE(self)->tp_free((PyObject*) self); } // ================================================================ // snaptrace.Tracer Definition // ================================================================ // We define getsetters in another file extern PyGetSetDef Tracer_getsetters[]; static PyTypeObject TracerType = { PyVarObject_HEAD_INIT(NULL, 0) .tp_name = "snaptrace.Tracer", .tp_doc = "Tracer", .tp_basicsize = sizeof(TracerObject), .tp_itemsize = 0, .tp_flags = Py_TPFLAGS_DEFAULT | Py_TPFLAGS_BASETYPE, .tp_new = Tracer_New, .tp_init = (initproc) Tracer_Init, .tp_dealloc = (destructor) Tracer_dealloc, .tp_methods = Tracer_methods, .tp_getset = Tracer_getsetters, }; // ================================================================ // snaptrace Module Functions // ================================================================ void snaptrace_free(void* Py_UNUSED(unused)) { quicktime_free(); Py_CLEAR(threading_module); Py_CLEAR(multiprocessing_module); Py_CLEAR(asyncio_module); Py_CLEAR(asyncio_tasks_module); Py_CLEAR(curr_task_getters[0]); Py_CLEAR(trio_lowlevel_module); Py_CLEAR(curr_task_getters[1]); Py_CLEAR(json_module); Py_CLEAR(sys_module); } // ================================================================ // snaptrace Module Definition // ================================================================ static struct PyModuleDef snaptracemodule = { .m_base = PyModuleDef_HEAD_INIT, .m_name = "viztracer.snaptrace", .m_size = -1, .m_free = snaptrace_free, }; // ================================================================ // Python Interface // ================================================================ PyMODINIT_FUNC PyInit_snaptrace(void) { // Tracer Module PyObject* m = NULL; if (PyType_Ready(&TracerType) < 0) { return NULL; } m = PyModule_Create(&snaptracemodule); if (!m) { return NULL; } #ifdef Py_GIL_DISABLED PyUnstable_Module_SetGIL(m, Py_MOD_GIL_NOT_USED); #endif Py_INCREF(&TracerType); if (PyModule_AddObject(m, "Tracer", (PyObject*) &TracerType) < 0) { Py_DECREF(&TracerType); Py_DECREF(m); return NULL; } threading_module = PyImport_ImportModule("threading"); multiprocessing_module = PyImport_ImportModule("multiprocessing"); if ((trio_module = PyImport_ImportModule("trio"))) { trio_lowlevel_module = PyImport_AddModule("trio.lowlevel"); curr_task_getters[1] = PyObject_GetAttrString(trio_lowlevel_module, "current_task"); } else { PyErr_Clear(); } json_module = PyImport_ImportModule("json"); #if PY_VERSION_HEX >= 0x030C0000 sys_module = PyImport_ImportModule("sys"); PyObject* monitoring = PyObject_GetAttrString(sys_module, "monitoring"); sys_monitoring_missing = PyObject_GetAttrString(monitoring, "MISSING"); Py_DECREF(monitoring); #endif quicktime_init(); return m; } ================================================ FILE: src/viztracer/modules/snaptrace.h ================================================ // Licensed under the Apache License: http://www.apache.org/licenses/LICENSE-2.0 // For details: https://github.com/gaogaotiantian/viztracer/blob/master/NOTICE.txt #ifndef __SNAPTRACE_H__ #define __SNAPTRACE_H__ #include #include #if _WIN32 #include #else #include #endif #ifdef Py_GIL_DISABLED // The free threading implementation of SNAPTRACE_THREAD_PROTECT_START/END uses // a per-tracer mutex. The mutex is acquired in SNAPTRACE_THREAD_PROTECT_START // and released in SNAPTRACE_THREAD_PROTECT_END. // NOTE: these macros delimit a C scope so any variables accessed after // a SNAPTRACE_THREAD_PROTECT_END need to be declared before // SNAPTRACE_THREAD_PROTECT_START. #define SNAPTRACE_THREAD_PROTECT_START(self) Py_BEGIN_CRITICAL_SECTION(self) #define SNAPTRACE_THREAD_PROTECT_END(self) Py_END_CRITICAL_SECTION() #else // The default implementation is a no-op. #define SNAPTRACE_THREAD_PROTECT_START(self) #define SNAPTRACE_THREAD_PROTECT_END(self) #endif #ifndef Py_MONITORING_H // monitoring.h is only available after 3.13, this is a fix // to support the following events on 3.12 #define PY_MONITORING_EVENT_PY_START 0 #define PY_MONITORING_EVENT_PY_RESUME 1 #define PY_MONITORING_EVENT_PY_RETURN 2 #define PY_MONITORING_EVENT_PY_YIELD 3 #define PY_MONITORING_EVENT_CALL 4 #define PY_MONITORING_EVENT_LINE 5 #define PY_MONITORING_EVENT_INSTRUCTION 6 #define PY_MONITORING_EVENT_JUMP 7 #define PY_MONITORING_EVENT_BRANCH 8 #define PY_MONITORING_EVENT_STOP_ITERATION 9 #define PY_MONITORING_EVENT_RAISE 10 #define PY_MONITORING_EVENT_EXCEPTION_HANDLED 11 #define PY_MONITORING_EVENT_PY_UNWIND 12 #define PY_MONITORING_EVENT_PY_THROW 13 #define PY_MONITORING_EVENT_RERAISE 14 #define PY_MONITORING_EVENT_C_RETURN 15 #define PY_MONITORING_EVENT_C_RAISE 16 #endif #define SNAPTRACE_MAX_STACK_DEPTH (1 << 0) #define SNAPTRACE_INCLUDE_FILES (1 << 1) #define SNAPTRACE_EXCLUDE_FILES (1 << 2) #define SNAPTRACE_IGNORE_C_FUNCTION (1 << 3) #define SNAPTRACE_LOG_RETURN_VALUE (1 << 4) #define SNAPTRACE_LOG_FUNCTION_ARGS (1 << 6) #define SNAPTRACE_IGNORE_FROZEN (1 << 7) #define SNAPTRACE_LOG_ASYNC (1 << 8) #define SNAPTRACE_TRACE_SELF (1 << 9) #define SET_FLAG(reg, flag) ((reg) |= (flag)) #define UNSET_FLAG(reg, flag) ((reg) &= (~(flag))) #define CHECK_FLAG(reg, flag) (((reg) & (flag)) != 0) #define SNAPTRACE_TOOL_ID 2 struct FunctionNode { struct FunctionNode* next; struct FunctionNode* prev; int64_t ts; PyObject* args; // PyCodeObject* for Python function, PyCFunctionObject* for C function PyObject* func; }; struct ThreadInfo { int paused; int curr_stack_depth; int ignore_stack_depth; unsigned long tid; struct FunctionNode* stack_top; PyObject* curr_task; PyFrameObject* curr_task_frame; struct MetadataNode* metadata_node; }; struct MetadataNode { struct MetadataNode* next; unsigned long tid; PyObject* name; struct ThreadInfo* thread_info; }; typedef struct { PyObject_HEAD #if _WIN32 DWORD dwTlsIndex; #else pthread_key_t thread_key; #endif int collecting; // When we do fork_save(), we want to keep the pid. This is a // mechanism for child process to keep the parent's pid. If // this value is 0, then the program gets pid before parsing, // otherwise it uses this pid long fix_pid; unsigned long total_entries; unsigned int check_flags; int verbose; char* lib_file_path; int max_stack_depth; PyObject* process_name; PyObject* include_files; PyObject* exclude_files; PyObject* log_func_repr; double min_duration; struct EventNode* buffer; long buffer_size; long buffer_head_idx; long buffer_tail_idx; int64_t sync_marker; struct MetadataNode* metadata_head; } TracerObject; extern PyObject* threading_module; extern PyObject* multiprocessing_module; extern PyObject* json_module; extern PyObject* asyncio_module; extern PyObject* asyncio_tasks_module; #endif ================================================ FILE: src/viztracer/modules/snaptrace_member.c ================================================ // Licensed under the Apache License: http://www.apache.org/licenses/LICENSE-2.0 // For details: https://github.com/gaogaotiantian/viztracer/blob/master/NOTICE.txt #include "pythoncapi_compat.h" #include "snaptrace.h" extern PyObject* asyncio_module; extern PyObject* asyncio_tasks_module; extern PyObject* curr_task_getters[2]; // ================================================================ // Tracer members // ================================================================ static int Tracer_max_stack_depth_setter(TracerObject* self, PyObject* value, void* closure) { if (value == NULL) { PyErr_SetString(PyExc_AttributeError, "Cannot delete the attribute"); return -1; } if (!PyLong_Check(value)) { PyErr_SetString(PyExc_TypeError, "max_stack_depth must be an integer"); return -1; } self->max_stack_depth = PyLong_AsLong(value); if (self->max_stack_depth >= 0) { SET_FLAG(self->check_flags, SNAPTRACE_MAX_STACK_DEPTH); } else { UNSET_FLAG(self->check_flags, SNAPTRACE_MAX_STACK_DEPTH); } return 0; } static PyObject* Tracer_max_stack_depth_getter(TracerObject* self, void* closure) { return PyLong_FromLong(self->max_stack_depth); } static int Tracer_include_files_setter(TracerObject* self, PyObject* value, void* closure) { if (value == NULL) { PyErr_SetString(PyExc_AttributeError, "Cannot delete the attribute"); return -1; } if (!PyList_Check(value) && value != Py_None) { PyErr_SetString(PyExc_TypeError, "include_files must be a list or None"); return -1; } Py_XDECREF(self->include_files); if (value == Py_None || PyList_Size(value) == 0) { self->include_files = NULL; UNSET_FLAG(self->check_flags, SNAPTRACE_INCLUDE_FILES); } else { self->include_files = Py_NewRef(value); SET_FLAG(self->check_flags, SNAPTRACE_INCLUDE_FILES); } return 0; } static PyObject* Tracer_include_files_getter(TracerObject* self, void* closure) { if (self->include_files) { return Py_NewRef(self->include_files); } else { Py_RETURN_NONE; } } static int Tracer_exclude_files_setter(TracerObject* self, PyObject* value, void* closure) { if (value == NULL) { PyErr_SetString(PyExc_AttributeError, "Cannot delete the attribute"); return -1; } if (!PyList_Check(value) && value != Py_None) { PyErr_SetString(PyExc_TypeError, "exclude_files must be a list or None"); return -1; } Py_XDECREF(self->exclude_files); if (value == Py_None || PyList_Size(value) == 0) { self->exclude_files = NULL; UNSET_FLAG(self->check_flags, SNAPTRACE_EXCLUDE_FILES); } else { self->exclude_files = Py_NewRef(value); SET_FLAG(self->check_flags, SNAPTRACE_EXCLUDE_FILES); } return 0; } static PyObject* Tracer_exclude_files_getter(TracerObject* self, void* closure) { if (self->exclude_files) { return Py_NewRef(self->exclude_files); } else { Py_RETURN_NONE; } } static int Tracer_ignore_c_function_setter(TracerObject* self, PyObject* value, void* closure) { if (value == NULL) { PyErr_SetString(PyExc_AttributeError, "Cannot delete the attribute"); return -1; } if (!PyBool_Check(value)) { PyErr_SetString(PyExc_TypeError, "ignore_c_function must be a boolean"); return -1; } if (value == Py_True) { SET_FLAG(self->check_flags, SNAPTRACE_IGNORE_C_FUNCTION); } else { UNSET_FLAG(self->check_flags, SNAPTRACE_IGNORE_C_FUNCTION); } return 0; } static PyObject* Tracer_ignore_c_function_getter(TracerObject* self, void* closure) { if (CHECK_FLAG(self->check_flags, SNAPTRACE_IGNORE_C_FUNCTION)) { Py_RETURN_TRUE; } else { Py_RETURN_FALSE; } } static int Tracer_ignore_frozen_setter(TracerObject* self, PyObject* value, void* closure) { if (value == NULL) { PyErr_SetString(PyExc_AttributeError, "Cannot delete the attribute"); return -1; } if (!PyBool_Check(value)) { PyErr_SetString(PyExc_TypeError, "ignore_frozen must be a boolean"); return -1; } if (value == Py_True) { SET_FLAG(self->check_flags, SNAPTRACE_IGNORE_FROZEN); } else { UNSET_FLAG(self->check_flags, SNAPTRACE_IGNORE_FROZEN); } return 0; } static PyObject* Tracer_ignore_frozen_getter(TracerObject* self, void* closure) { if (CHECK_FLAG(self->check_flags, SNAPTRACE_IGNORE_FROZEN)) { Py_RETURN_TRUE; } else { Py_RETURN_FALSE; } } static int Tracer_verbose_setter(TracerObject* self, PyObject* value, void* closure) { if (value == NULL) { PyErr_SetString(PyExc_AttributeError, "Cannot delete the attribute"); return -1; } if (!PyLong_Check(value)) { PyErr_SetString(PyExc_TypeError, "verbose must be an integer"); return -1; } self->verbose = PyLong_AsLong(value); return 0; } static PyObject* Tracer_verbose_getter(TracerObject* self, void* closure) { return PyLong_FromLong(self->verbose); } static int Tracer_lib_file_path_setter(TracerObject* self, PyObject* value, void* closure) { if (value == NULL) { PyErr_SetString(PyExc_AttributeError, "Cannot delete the attribute"); return -1; } if (!PyUnicode_Check(value)) { PyErr_SetString(PyExc_TypeError, "lib_file_path must be a string"); return -1; } // Obviously we need to copy the string here or it would fail on // MacOS + python3.8 // The documentation did not say whether the value persists on "s" // so we should copy it anyway. const char* lib_file_path = PyUnicode_AsUTF8(value); if (self->lib_file_path) { PyMem_FREE(self->lib_file_path); } self->lib_file_path = PyMem_Calloc((strlen(lib_file_path) + 1), sizeof(char)); if (!self->lib_file_path) { PyErr_NoMemory(); return -1; } strcpy(self->lib_file_path, lib_file_path); return 0; } static PyObject* Tracer_lib_file_path_getter(TracerObject* self, void* closure) { return PyUnicode_FromString(self->lib_file_path); } static int Tracer_process_name_setter(TracerObject* self, PyObject* value, void* closure) { if (value == NULL) { PyErr_SetString(PyExc_AttributeError, "Cannot delete the attribute"); return -1; } if (value == Py_None) { Py_CLEAR(self->process_name); return 0; } if (!PyUnicode_Check(value)) { PyErr_SetString(PyExc_TypeError, "process_name must be a string"); return -1; } Py_INCREF(value); Py_XSETREF(self->process_name, value); return 0; } static PyObject* Tracer_process_name_getter(TracerObject* self, void* closure) { if (self->process_name == NULL) { Py_RETURN_NONE; } return Py_NewRef(self->process_name); } static int Tracer_min_duration_setter(TracerObject* self, PyObject* value, void* closure) { if (value == NULL) { PyErr_SetString(PyExc_AttributeError, "Cannot delete the attribute"); return -1; } if (PyFloat_Check(value)) { self->min_duration = PyFloat_AsDouble(value); } else if (PyLong_Check(value)) { self->min_duration = PyLong_AsDouble(value); } else { PyErr_SetString(PyExc_TypeError, "min_duration must be a float or an integer"); return -1; } if (self->min_duration < 0) { self->min_duration = 0; } // In Python code the default unit is us // Convert to ns which is what c Code uses self->min_duration *= 1000; return 0; } static PyObject* Tracer_min_duration_getter(TracerObject* self, void* closure) { return PyFloat_FromDouble(self->min_duration); } static int Tracer_log_func_args_setter(TracerObject* self, PyObject* value, void* closure) { if (value == NULL) { PyErr_SetString(PyExc_AttributeError, "Cannot delete the attribute"); return -1; } if (!PyBool_Check(value)) { PyErr_SetString(PyExc_TypeError, "log_func_args must be a boolean"); return -1; } if (value == Py_True) { SET_FLAG(self->check_flags, SNAPTRACE_LOG_FUNCTION_ARGS); } else { UNSET_FLAG(self->check_flags, SNAPTRACE_LOG_FUNCTION_ARGS); } return 0; } static PyObject* Tracer_log_func_args_getter(TracerObject* self, void* closure) { if (CHECK_FLAG(self->check_flags, SNAPTRACE_LOG_FUNCTION_ARGS)) { Py_RETURN_TRUE; } else { Py_RETURN_FALSE; } } static int Tracer_log_func_retval_setter(TracerObject* self, PyObject* value, void* closure) { if (value == NULL) { PyErr_SetString(PyExc_AttributeError, "Cannot delete the attribute"); return -1; } if (!PyBool_Check(value)) { PyErr_SetString(PyExc_TypeError, "log_func_retval must be a boolean"); return -1; } if (value == Py_True) { SET_FLAG(self->check_flags, SNAPTRACE_LOG_RETURN_VALUE); } else { UNSET_FLAG(self->check_flags, SNAPTRACE_LOG_RETURN_VALUE); } return 0; } static PyObject* Tracer_log_func_retval_getter(TracerObject* self, void* closure) { if (CHECK_FLAG(self->check_flags, SNAPTRACE_LOG_RETURN_VALUE)) { Py_RETURN_TRUE; } else { Py_RETURN_FALSE; } } static int Tracer_log_async_setter(TracerObject* self, PyObject* value, void* closure) { if (value == NULL) { PyErr_SetString(PyExc_AttributeError, "Cannot delete the attribute"); return -1; } if (!PyBool_Check(value)) { PyErr_SetString(PyExc_TypeError, "log_async must be a boolean"); return -1; } if (value == Py_True) { // Lazy import asyncio because it's slow if (asyncio_module == NULL) { asyncio_module = PyImport_ImportModule("asyncio"); asyncio_tasks_module = PyImport_AddModule("asyncio.tasks"); if (PyObject_HasAttrString(asyncio_tasks_module, "current_task")) { curr_task_getters[0] = PyObject_GetAttrString(asyncio_tasks_module, "current_task"); } } SET_FLAG(self->check_flags, SNAPTRACE_LOG_ASYNC); } else { UNSET_FLAG(self->check_flags, SNAPTRACE_LOG_ASYNC); } return 0; } static PyObject* Tracer_log_async_getter(TracerObject* self, void* closure) { if (CHECK_FLAG(self->check_flags, SNAPTRACE_LOG_ASYNC)) { Py_RETURN_TRUE; } else { Py_RETURN_FALSE; } } static int Tracer_trace_self_setter(TracerObject* self, PyObject* value, void* closure) { if (value == NULL) { PyErr_SetString(PyExc_AttributeError, "Cannot delete the attribute"); return -1; } if (!PyBool_Check(value)) { PyErr_SetString(PyExc_TypeError, "trace_self must be a boolean"); return -1; } if (value == Py_True) { SET_FLAG(self->check_flags, SNAPTRACE_TRACE_SELF); } else { UNSET_FLAG(self->check_flags, SNAPTRACE_TRACE_SELF); } return 0; } static PyObject* Tracer_trace_self_getter(TracerObject* self, void* closure) { if (CHECK_FLAG(self->check_flags, SNAPTRACE_TRACE_SELF)) { Py_RETURN_TRUE; } else { Py_RETURN_FALSE; } } static int Tracer_log_func_repr_setter(TracerObject* self, PyObject* value, void* closure) { if (value == NULL) { PyErr_SetString(PyExc_AttributeError, "Cannot delete the attribute"); return -1; } if (value == Py_None) { Py_CLEAR(self->log_func_repr); return 0; } if (!PyCallable_Check(value)) { PyErr_SetString(PyExc_TypeError, "log_func_repr must be a boolean"); return -1; } Py_INCREF(value); Py_XSETREF(self->log_func_repr, value); return 0; } static PyObject* Tracer_log_func_repr_getter(TracerObject* self, void* closure) { if (self->log_func_repr == NULL) { Py_RETURN_NONE; } return Py_NewRef(self->log_func_repr); } PyGetSetDef Tracer_getsetters[] = { {"max_stack_depth", (getter)Tracer_max_stack_depth_getter, (setter)Tracer_max_stack_depth_setter, "max_stack_depth", NULL}, {"include_files", (getter)Tracer_include_files_getter, (setter)Tracer_include_files_setter, "include_files", NULL}, {"exclude_files", (getter)Tracer_exclude_files_getter, (setter)Tracer_exclude_files_setter, "exclude_files", NULL}, {"ignore_c_function", (getter)Tracer_ignore_c_function_getter, (setter)Tracer_ignore_c_function_setter, "ignore_c_function", NULL}, {"ignore_frozen", (getter)Tracer_ignore_frozen_getter, (setter)Tracer_ignore_frozen_setter, "ignore_frozen", NULL}, {"verbose", (getter)Tracer_verbose_getter, (setter)Tracer_verbose_setter, "verbose", NULL}, {"lib_file_path", (getter)Tracer_lib_file_path_getter, (setter)Tracer_lib_file_path_setter, "lib_file_path", NULL}, {"process_name", (getter)Tracer_process_name_getter, (setter)Tracer_process_name_setter, "process_name", NULL}, {"min_duration", (getter)Tracer_min_duration_getter, (setter)Tracer_min_duration_setter, "min_duration", NULL}, {"log_func_retval", (getter)Tracer_log_func_retval_getter, (setter)Tracer_log_func_retval_setter, "log_func_retval", NULL}, {"log_func_args", (getter)Tracer_log_func_args_getter, (setter)Tracer_log_func_args_setter, "log_func_args", NULL}, {"log_async", (getter)Tracer_log_async_getter, (setter)Tracer_log_async_setter, "log_async", NULL}, {"trace_self", (getter)Tracer_trace_self_getter, (setter)Tracer_trace_self_setter, "trace_self", NULL}, {"log_func_repr", (getter)Tracer_log_func_repr_getter, (setter)Tracer_log_func_repr_setter, "log_func_repr", NULL}, {NULL} }; ================================================ FILE: src/viztracer/modules/util.c ================================================ // Licensed under the Apache License: http://www.apache.org/licenses/LICENSE-2.0 // For details: https://github.com/gaogaotiantian/viztracer/blob/master/NOTICE.txt #include #include #include "snaptrace.h" // Utility functions void Print_Py(PyObject* o) { PyObject* repr = PyObject_Repr(o); printf("%s\n", PyUnicode_AsUTF8(repr)); Py_DECREF(repr); } void fprintjson(FILE* fptr, PyObject* obj) { PyObject* json_dumps = PyObject_GetAttrString(json_module, "dumps"); PyObject* args_str = PyObject_CallOneArg(json_dumps, obj); fprintf(fptr, "%s", PyUnicode_AsUTF8(args_str)); Py_DECREF(json_dumps); Py_DECREF(args_str); } void fprint_escape(FILE *fptr, const char *s) { while (*s != 0) { switch (*s) { case '\\': fputc('\\', fptr); fputc(*s, fptr); break; case '"': fputc('\\', fptr); fputc(*s, fptr); break; case '\b': fputc('\\', fptr); fputc('b', fptr); break; case '\f': fputc('\\', fptr); fputc('f', fptr); break; case '\n': fputc('\\', fptr); fputc('n', fptr); break; case '\r': fputc('\\', fptr); fputc('r', fptr); break; case '\t': fputc('\\', fptr); fputc('t', fptr); break; default: fputc(*s, fptr); } s++; } } ================================================ FILE: src/viztracer/modules/util.h ================================================ // Licensed under the Apache License: http://www.apache.org/licenses/LICENSE-2.0 // For details: https://github.com/gaogaotiantian/viztracer/blob/master/NOTICE.txt #ifndef __SNAPTRACE_UTIL_H__ #define __SNAPTRACE_UTIL_H__ #include #include void Print_Py(PyObject* o); void fprintjson(FILE* fptr, PyObject* obj); void fprint_escape(FILE *fptr, const char *s); // target and prefix has to be NULL-terminated inline int startswith(const char* target, const char* prefix) { size_t len = strlen(prefix); return strncmp(target, prefix, len) == 0; } #endif ================================================ FILE: src/viztracer/modules/vcompressor/README.md ================================================ # VizTracer log compressor/decompressor ## Format ### Data Type #### header A one-byte header indicating the following data type 0x00 - Reserved 0x01 - FEE 0x02 - Process name 0x03 - Thread name 0x04 - count event 0x05 - non-frequent event 0x11 - File info 0x21 - counter arg unknown 0x22 - counter arg is the same with last timestamp 0x23 - counter arg is long type and not overflowed 0x24 - counter arg is float type 0x25 - counter arg is long type and overflowed #### str A null-ended cstring encoded in utf8 #### pid/tid uint64 #### ts A variant length variable for the timestamp. ### Process/Thread name header(header) - pid(pid) - tid(tid) - name(str) ### FEE header(header) - pid(pid) - tid(tid) - name(str) - count(uint64) - args offset - [start(ts) - dur(ts)]* - args list (if args offset is not 0) ### File info header(header) - compressed size(uint64) - uncompressed size(uint64) - compressed content ### Count Event header(header) - pid(pid) - tid(tid) - name(str) - key count - [ keys ]* - timestamp count -[ts - variables]* #### variables [header - value]* the order of variables is corresponding to the order of keys. if header means value didn't change compared to last timestamp, value will be null. if header means long or float, the value is int64_t or double type if header means a long and the value overflows, the value is string type ### Non-frequent Events We just directly use json dumps and compress the data because they will be only a very small part of the trace. Except FEE, counter event, thread name, process name, the left events are treated as non-frequent events ================================================ FILE: src/viztracer/modules/vcompressor/vc_dump.c ================================================ // Licensed under the Apache License: http://www.apache.org/licenses/LICENSE-2.0 // For details: https://github.com/gaogaotiantian/viztracer/blob/master/NOTICE.txt #include #include "vcompressor.h" #include "vc_dump.h" #define STRING_BUFFER_SIZE 512 // Not sure if we need to compress the whole file using zlib. // Use this flag to control if we need to compress json data. // This is for test for now #define NEED_COMPRESS_IN_FILE 1 #define READ_DATA(ptr, type, fptr) \ { \ size_t s = fread(ptr, sizeof(type), 1, fptr); \ if (s != 1) { \ PyErr_SetString(PyExc_ValueError, "file is corrupted"); \ goto clean_exit; \ } \ } #define PyDict_SetItemStringULL(dct, key, val) \ { \ PyObject* o = PyLong_FromUnsignedLongLong(val); \ PyDict_SetItemString(dct, key, o); \ Py_DECREF(o); \ } #define PyDict_SetItemStringDouble(dct, key, val) \ { \ PyObject* o = PyFloat_FromDouble(val); \ PyDict_SetItemString(dct, key, o); \ Py_DECREF(o); \ } // The input line has to be null-terminated // This function will write the line and append a null terminator after it #define fwritestr(line, fptr) \ { \ fwrite(line, sizeof(char), strlen(line), fptr); \ fputc('\0', fptr); \ } #define PEEK_DATA(ptr, type, fptr) \ { \ size_t s = fread(ptr, sizeof(type), 1, fptr); \ if (s != 1) { \ PyErr_SetString(PyExc_ValueError, "file is corrupted"); \ goto clean_exit; \ } else { \ fseek(fptr, -sizeof(type), SEEK_CUR); \ } \ } /* * The write_encoded_int and read_encoded_int functions are used to compress * and decompress timestamp. For a trace file, most of the data are ts and dur. * So we sort the timestamp and only record diff of two between two contiguous * timestamp. * * We use a 2-bit flag to indicate how many bytes can uint64_t data be fit in. * For Windows, Mac and most of the Linux, the byte order is little-endian, * which means if we want to record 0X12345678. The data in file would be: * 78 56 34 12 * To make it simple, we just move the data left 2 bits and put the flag at * the lowest position of the timestamp. * * And the parsed timestamp is always less than 0x3FFFFFFFFFFFFFFF */ static inline void write_encoded_int(uint64_t num, FILE* fptr) { if (num == (num & 0x3F)) { uint8_t encoded_num = (num << 2) | TS_6_BIT; fwrite(&encoded_num, sizeof(uint8_t), 1, fptr); } else if (num == (num & 0x3FFF)) { uint16_t encoded_num = (num << 2) | TS_14_BIT; fwrite(&encoded_num, sizeof(uint16_t), 1, fptr); } else if (num == (num & 0x3FFFFFFF)) { uint32_t encoded_num = (num << 2) | TS_30_BIT; fwrite(&encoded_num, sizeof(uint32_t), 1, fptr); } else { uint64_t encoded_num = (num << 2) | TS_62_BIT; fwrite(&encoded_num, sizeof(uint64_t), 1, fptr); } } static inline int read_encoded_int(uint64_t *num, FILE* fptr) { uint8_t flag; uint8_t encoded_num_8_bit = 0; uint16_t encoded_num_16_bit = 0; uint32_t encoded_num_32_bit = 0; uint64_t encoded_num_64_bit = 0; PEEK_DATA(&flag, uint8_t, fptr) switch (flag & 0x03) { case TS_6_BIT: READ_DATA(&encoded_num_8_bit, uint8_t, fptr) (*num) = encoded_num_8_bit >> 2; break; case TS_14_BIT: READ_DATA(&encoded_num_16_bit, uint16_t, fptr) (*num) = encoded_num_16_bit >> 2; break; case TS_30_BIT: READ_DATA(&encoded_num_32_bit, uint32_t, fptr) (*num) = encoded_num_32_bit >> 2; break; case TS_62_BIT: READ_DATA(&encoded_num_64_bit, uint64_t, fptr) (*num) = encoded_num_64_bit >> 2; break; default: break; } clean_exit: if (PyErr_Occurred()) { return 1; } return 0; } int freadstrn(char* buffer, int n, FILE* fptr) { int c; int idx = 0; while (1) { c = fgetc(fptr); if (c == EOF || c == '\0') { buffer[idx++] = '\0'; break; } else { buffer[idx++] = c; } if (idx == n) { break; } } return idx; } char* freadstr(FILE* fptr) { char* str = NULL; int c = 0; size_t len = 256; size_t idx = 0; str = malloc(len * sizeof(char)); if (str == NULL) { return NULL; } while ((c = fgetc(fptr)) != EOF && c != '\0') { str[idx++] = c; if (idx == len) { len *= 2; str = realloc(str, len * sizeof(char)); if (str == NULL) { return NULL; } } } str[idx++] = '\0'; return str; } int dump_metadata(FILE* fptr) { uint64_t version = VCOMPRESSOR_VERSION; if (!fptr) { return -1; } fwrite(&version, 1, sizeof(uint64_t), fptr); return 0; } PyObject* json_dumps_to_bytes(PyObject* json_data) { PyObject* json_ret = NULL; PyObject* bytes_data = NULL; PyObject* dumps_func = NULL; if (!json_data) { PyErr_SetString(PyExc_ValueError, "json_data can not be NULL"); goto clean_exit; } dumps_func = PyObject_GetAttrString(json_module, "dumps"); if (!dumps_func) { goto clean_exit; } // json dumps json_data json_ret = PyObject_CallOneArg(dumps_func, json_data); if (!json_ret) { goto clean_exit; } // convert string to bytes bytes_data = PyObject_CallMethod(json_ret, "encode", NULL); Py_DECREF(json_ret); if (!bytes_data) { goto clean_exit; } if (!PyBytes_Check(bytes_data)) { // need to release bytes_data here, bytes_data will not release after clean_exit Py_DECREF(bytes_data); PyErr_SetString(PyExc_ValueError, "Failed to convert string to bytes"); goto clean_exit; } clean_exit: Py_XDECREF(dumps_func); if (PyErr_Occurred()) { return NULL; } return bytes_data; } PyObject* json_loads_from_bytes(PyObject* bytes_data) { PyObject* loads_func = NULL; PyObject* string_data = NULL; PyObject* json_data = NULL; if (!PyBytes_Check(bytes_data)) { Py_DECREF(bytes_data); PyErr_SetString(PyExc_ValueError, "expect a bytes object to decode"); goto clean_exit; } loads_func = PyObject_GetAttrString(json_module, "loads"); if (!loads_func) { goto clean_exit; } // decode depressed bytes to string string_data = PyObject_CallMethod(bytes_data, "decode", NULL); if (!string_data) { goto clean_exit; } // convert string to json json_data = PyObject_CallOneArg(loads_func, string_data); if (!json_data) { goto clean_exit; } clean_exit: Py_XDECREF(loads_func); if (PyErr_Occurred()) { return NULL; } return json_data; } PyObject* compress_bytes(PyObject* bytes_data) { PyObject* compress_func = NULL; PyObject* compressed_data = NULL; if (!PyBytes_Check(bytes_data)) { Py_DECREF(bytes_data); PyErr_SetString(PyExc_ValueError, "expect a bytes object to compress"); goto clean_exit; } compress_func = PyObject_GetAttrString(zlib_module, "compress"); if (!compress_func) { goto clean_exit; } compressed_data = PyObject_CallOneArg(compress_func, bytes_data); if (!compressed_data) { goto clean_exit; } if (!PyBytes_Check(compressed_data)) { Py_DECREF(compressed_data); PyErr_SetString(PyExc_ValueError, "zlib.compress() returns a none bytes object"); goto clean_exit; } clean_exit: Py_XDECREF(compress_func); if (PyErr_Occurred()) { return NULL; } return compressed_data; } PyObject* decompress_bytes(PyObject* bytes_data) { // decompress data PyObject* decompressed_data = NULL; PyObject* decompress_func = NULL; if (!PyBytes_Check(bytes_data)) { Py_DECREF(bytes_data); PyErr_SetString(PyExc_ValueError, "expect a bytes object to decompress"); goto clean_exit; } decompress_func = PyObject_GetAttrString(zlib_module, "decompress"); if (!decompress_func) { goto clean_exit; } decompressed_data = PyObject_CallOneArg(decompress_func, bytes_data); if (!decompressed_data) { goto clean_exit; } if (!PyBytes_Check(decompressed_data)) { Py_DECREF(decompressed_data); PyErr_SetString(PyExc_ValueError, "zlib.decompress() returns a none bytes object"); goto clean_exit; } clean_exit: Py_XDECREF(decompress_func); if (PyErr_Occurred()) { return NULL; } return decompressed_data; } int json_dumps_and_compress_to_file(PyObject* json_data, FILE* fptr) { char* buffer; uint64_t uncompressed_size = 0; uint64_t compressed_size = 0; PyObject* bytes_data = NULL; PyObject* compressed_data = NULL; bytes_data = json_dumps_to_bytes(json_data); if (!bytes_data) { goto clean_exit; } uncompressed_size = PyBytes_Size(bytes_data); if (NEED_COMPRESS_IN_FILE) { compressed_data = compress_bytes(bytes_data); if (!compressed_data) { goto clean_exit; } compressed_size = PyBytes_Size(compressed_data); buffer = PyBytes_AsString(compressed_data); fwrite(&uncompressed_size, sizeof(uint64_t), 1, fptr); fwrite(&compressed_size, sizeof(uint64_t), 1, fptr); fwrite(buffer, sizeof(char), compressed_size, fptr); Py_DECREF(compressed_data); } else { buffer = PyBytes_AsString(bytes_data); fwrite(&uncompressed_size, sizeof(uint64_t), 1, fptr); fwrite(buffer, sizeof(char), uncompressed_size, fptr); } clean_exit: Py_DECREF(bytes_data); if (PyErr_Occurred()) { return 1; } return 0; } PyObject* json_loads_and_decompress_from_file(FILE* fptr) { char* buffer = NULL; uint64_t compressed_size = 0; uint64_t uncompressed_size = 0; uint64_t read_length = 0; PyObject* json_data = NULL; PyObject* compressed_data = NULL; PyObject* bytes_data = NULL; if (NEED_COMPRESS_IN_FILE) { READ_DATA(&uncompressed_size, uint64_t, fptr) READ_DATA(&compressed_size, uint64_t, fptr) buffer = (char *)malloc(sizeof(char)*compressed_size); if (!buffer) { PyErr_Format(PyExc_RuntimeError, "Failed to malloc memory size %lld", compressed_size); goto clean_exit; } read_length = fread(buffer, sizeof(char), compressed_size, fptr); if (read_length != compressed_size) { PyErr_Format(PyExc_ValueError, "file is corrupted"); free(buffer); goto clean_exit; } compressed_data = PyBytes_FromStringAndSize(buffer, compressed_size); free(buffer); if (!compressed_data) { goto clean_exit; } bytes_data = decompress_bytes(compressed_data); Py_DECREF(compressed_data); } else { READ_DATA(&uncompressed_size, uint64_t, fptr) buffer = (char *)malloc(sizeof(char)*uncompressed_size); if (!buffer) { PyErr_Format(PyExc_RuntimeError, "Failed to malloc memory size %lld", uncompressed_size); goto clean_exit; } read_length = fread(buffer, sizeof(char), uncompressed_size, fptr); if (read_length != uncompressed_size) { PyErr_Format(PyExc_ValueError, "file is corrupted"); free(buffer); goto clean_exit; } bytes_data = PyBytes_FromStringAndSize(buffer, uncompressed_size); free(buffer); } if (!bytes_data) { goto clean_exit; } json_data = json_loads_from_bytes(bytes_data); Py_DECREF(bytes_data); if (!json_data) { goto clean_exit; } clean_exit: if (PyErr_Occurred()) { return NULL; } return json_data; } int dump_parsed_trace_events(PyObject* trace_events, FILE* fptr) { // Dump process and thread names PyObject* process_names = PyDict_GetItemString(trace_events, "process_names"); PyObject* thread_names = PyDict_GetItemString(trace_events, "thread_names"); PyObject* fee_events = PyDict_GetItemString(trace_events, "fee_events"); PyObject* counter_events = PyDict_GetItemString(trace_events, "counter_events"); PyObject* other_events = PyDict_GetItemString(trace_events, "other_events"); Py_ssize_t ppos = 0; PyObject* key = NULL; PyObject* value = NULL; // Iterate through process names ppos = 0; while (PyDict_Next(process_names, &ppos, &key, &value)) { uint64_t pid = PyLong_AsLong(PyTuple_GetItem(key, 0)); uint64_t tid = PyLong_AsLong(PyTuple_GetItem(key, 1)); const char* name = PyUnicode_AsUTF8(value); fputc(VC_HEADER_PROCESS_NAME, fptr); fwrite(&pid, sizeof(uint64_t), 1, fptr); fwrite(&tid, sizeof(uint64_t), 1, fptr); fwritestr(name, fptr); } // Iterate through thread names ppos = 0; while (PyDict_Next(thread_names, &ppos, &key, &value)) { uint64_t pid = PyLong_AsLong(PyTuple_GetItem(key, 0)); uint64_t tid = PyLong_AsLong(PyTuple_GetItem(key, 1)); const char* name = PyUnicode_AsUTF8(value); fputc(VC_HEADER_THREAD_NAME, fptr); fwrite(&pid, sizeof(uint64_t), 1, fptr); fwrite(&tid, sizeof(uint64_t), 1, fptr); fwritestr(name, fptr); } // Iterate through fee events ppos = 0; while (PyDict_Next(fee_events, &ppos, &key, &value)) { if (write_fee_events(key, value, fptr) != 0){ goto clean_exit; } } // Iterate through counter events ppos = 0; while (PyDict_Next(counter_events, &ppos, &key, &value)) { uint64_t pid = PyLong_AsLong(PyTuple_GetItem(key, 0)); uint64_t tid = PyLong_AsLong(PyTuple_GetItem(key, 1)); const char* name = PyUnicode_AsUTF8(PyTuple_GetItem(key, 2)); fputc(VC_HEADER_COUNTER_EVENTS, fptr); fwrite(&pid, sizeof(uint64_t), 1, fptr); fwrite(&tid, sizeof(uint64_t), 1, fptr); fwritestr(name, fptr); if (diff_and_write_counter_args(value, fptr) != 0) { goto clean_exit; } } // just write other events fputc(VC_HEADER_OTHER_EVENTS, fptr); if (json_dumps_and_compress_to_file(other_events, fptr) != 0) { goto clean_exit; } clean_exit: if (PyErr_Occurred()) { return 1; } return 0; } int write_fee_events(PyObject* fee_key, PyObject* fee_value, FILE* fptr) { PyObject* args_list = NULL; uint64_t pid = PyLong_AsLong(PyTuple_GetItem(fee_key, 0)); uint64_t tid = PyLong_AsLong(PyTuple_GetItem(fee_key, 1)); uint64_t ts_size = PyList_GET_SIZE(fee_value); uint64_t args_offset = 0; int64_t last_ts = 0; const char* name = PyUnicode_AsUTF8(PyTuple_GetItem(fee_key, 2)); int place_holder = 0; fputc(VC_HEADER_FEE, fptr); fwrite(&pid, sizeof(uint64_t), 1, fptr); fwrite(&tid, sizeof(uint64_t), 1, fptr); fwritestr(name, fptr); fwrite(&ts_size, sizeof(uint64_t), 1, fptr); if (!PyObject_CallMethod(fee_value, "sort", NULL)) { goto clean_exit; } // write place holder for args offset place_holder = ftell(fptr); fwrite(&args_offset, sizeof(uint64_t), 1, fptr); if (PyTuple_GetItem(fee_key, 3) == Py_True) { args_list = PyList_New(0); } for (Py_ssize_t idx = 0; idx < (Py_ssize_t)ts_size; idx++) { PyObject * event_ts_tuple = PyList_GET_ITEM(fee_value, idx); double ts = PyFloat_AsDouble(PyTuple_GET_ITEM(event_ts_tuple, 0)); double dur = PyFloat_AsDouble(PyTuple_GET_ITEM(event_ts_tuple, 1)); int64_t ts64 = ts * 100; uint64_t dur64 = dur * 100; uint64_t delta_ts = ts64 - last_ts; last_ts = ts64; if (idx == 0) { // write the first timestamp as int64_t, for timestamp on windows may be negative fwrite(&ts64, sizeof(int64_t), 1, fptr); } else { write_encoded_int(delta_ts, fptr); } write_encoded_int(dur64, fptr); if (args_list) { PyList_Append(args_list, PyTuple_GET_ITEM(event_ts_tuple, 2)); } } if (args_list) { args_offset = ftell(fptr); fseek(fptr, place_holder, SEEK_SET); fwrite(&args_offset, sizeof(args_offset), 1, fptr); fseek(fptr, args_offset, SEEK_SET); if (json_dumps_and_compress_to_file(args_list, fptr) != 0) { goto clean_exit; } } clean_exit: Py_XDECREF(args_list); if (PyErr_Occurred()) { return 1; } return 0; } PyObject* load_fee_events(FILE* fptr) { uint64_t pid = 0; uint64_t tid = 0; uint64_t count = 0; uint64_t dur = 0; uint64_t delta_ts = 0; uint64_t args_offset = 0; uint64_t place_holder_ts = 0; uint64_t place_holder_end = 0; int64_t last_ts = 0; char buffer[STRING_BUFFER_SIZE] = {0}; PyObject* fee_events_list = PyList_New(0); PyObject* event = NULL; PyObject* name = NULL; PyObject* args_list = NULL; PyObject* unicode_X = PyUnicode_FromString("X"); PyObject* unicode_FEE = PyUnicode_FromString("FEE"); READ_DATA(&pid, uint64_t, fptr); READ_DATA(&tid, uint64_t, fptr); freadstrn(buffer, STRING_BUFFER_SIZE - 1, fptr); READ_DATA(&count, uint64_t, fptr); name = PyUnicode_FromString(buffer); READ_DATA(&args_offset, uint64_t, fptr); if (args_offset != 0) { // read fee args place_holder_ts = ftell(fptr); if (fseek(fptr, args_offset, SEEK_SET) != 0) { PyErr_SetString(PyExc_ValueError, "seek to args offset failed!"); goto clean_exit; } args_list = json_loads_and_decompress_from_file(fptr); if (!args_list) { goto clean_exit; } // There's error checking in PyList_Size if (PyList_Size(args_list) != (Py_ssize_t)count) { PyErr_SetString(PyExc_ValueError, "args length is not equal to count!"); goto clean_exit; } place_holder_end = ftell(fptr); fseek(fptr, place_holder_ts, SEEK_SET); } for (uint64_t i = 0; i < count; i++) { if (i == 0) { READ_DATA(&last_ts, int64_t, fptr); } else { if (read_encoded_int(&delta_ts, fptr) != 0) { goto clean_exit; } } if (read_encoded_int(&dur, fptr) != 0) { goto clean_exit; } event = PyDict_New(); PyDict_SetItemString(event, "ph", unicode_X); PyDict_SetItemString(event, "name", name); PyDict_SetItemString(event, "cat", unicode_FEE); PyDict_SetItemStringULL(event, "pid", pid); PyDict_SetItemStringULL(event, "tid", tid); last_ts = delta_ts + last_ts; PyDict_SetItemStringDouble(event, "ts", (double)last_ts / 100); PyDict_SetItemStringDouble(event, "dur", (double)dur / 100); if (args_list) { PyDict_SetItemString(event, "args", PyList_GET_ITEM(args_list, i)); } PyList_Append(fee_events_list, event); Py_DECREF(event); } if (args_list) { fseek(fptr, place_holder_end, SEEK_SET); } clean_exit: Py_XDECREF(name); Py_XDECREF(args_list); Py_DECREF(unicode_X); Py_DECREF(unicode_FEE); if (PyErr_Occurred()) { return NULL; } return fee_events_list; } int diff_and_write_counter_args(PyObject* counter_args, FILE* fptr) { /* there may be several args in a counter, log them all may take more spaces * so this step is to do diffing between two contiguous timestamp * and finally we only log those changed args * Here's a counter_args example that we parsed * { * 1.1: {"a": 20, "b": 10} * 2.2: {"a": 30, "b": 10} * } * In this case, "b" value is not changed, so we only need to log * { * 1.1: {"a": 20, "b": 10} * 2.2: {"a": 30} * } */ PyObject* cached_args_dict = PyDict_New(); PyObject* diffed_args = PyDict_New(); PyObject* ts_keys = PyDict_Keys(counter_args); PyObject* ts = NULL; PyObject* cur_diffed_arg = NULL; PyObject* cur_counter_arg = NULL; PyObject* arg_key_list = NULL; PyObject* counter_arg_key = NULL; PyObject* counter_arg_value = NULL; PyObject* cached_arg_value = NULL; PyObject* overflowed_num_string = NULL; Py_ssize_t ppos = 0; uint64_t ts_key_count = 0; uint64_t arg_nums = 0; // sort the args by timestamp so we can diff if (!ts_keys || !PyList_Check(ts_keys)) { PyErr_SetString(PyExc_ValueError, "failed to get timestamp list"); goto clean_exit; } ts_key_count = PyList_GET_SIZE(ts_keys); if (PyList_Sort(ts_keys) == -1) { goto clean_exit; } /* Do diffing between two timestamps and store the result. * In this for loop, we iterate all the counter_args by the sort of timestamp. * And we mainly have three variables used to do the diffing: * cur_counter_arg: the full args of this timestamp * cached_args_dict: the full args of last timestamp * cur_diffed_arg: diffed result between cached_args_dict and cur_counter_arg */ for (uint64_t i = 0; i < ts_key_count; i++) { ts = PyList_GET_ITEM(ts_keys, i); cur_counter_arg = PyDict_GetItem(counter_args, ts); cur_diffed_arg = PyDict_New(); ppos = 0; /* This while statement is to find the different arg between cur_counter_arg and cached_args_dict. * It will iterate the arg value of cur_counter_arg, and compare with the value in cached_args_dict. * If the value is same, just ignore this value * If the value is different, then store it in cur_diffed_arg and update it in cached_args_dict. */ while (PyDict_Next(cur_counter_arg, &ppos, &counter_arg_key, &counter_arg_value)) { cached_arg_value = PyDict_GetItem(cached_args_dict, counter_arg_key); if (!cached_arg_value) { PyDict_SetItem(cached_args_dict, counter_arg_key, counter_arg_value); PyDict_SetItem(cur_diffed_arg, counter_arg_key, counter_arg_value); } else { int compare_result = PyObject_RichCompareBool(cached_arg_value, counter_arg_value, Py_EQ); if (compare_result == -1) { // compare error goto clean_exit; } else if (compare_result == 0) { // if value is not equal in last timestamp, store the newest value PyDict_SetItem(cached_args_dict, counter_arg_key, counter_arg_value); PyDict_SetItem(cur_diffed_arg, counter_arg_key, counter_arg_value); } } } ppos = 0; /* This while statement is to find the arg that is in cached_args_dict but not in cur_counter_arg. * Considering the situation that an arg is deleted at some timestamp, for example: * { * 1.1: {"a": 20, "b": 10} * 2.2: {"a": 20} * } * In this case, we need to mark b value as UNKNOWN at timestamp 2.2 * This step is to iterate arg in cached_args_dict and determine if the arg is in cur_counter_arg * Normally, the value of counter_arg is always numeric * So we use Py_None to mark the value as UNKNOWN */ while (PyDict_Next(cached_args_dict, &ppos, &counter_arg_key, &cached_arg_value)) { counter_arg_value = PyDict_GetItem(cur_counter_arg, counter_arg_key); if (!counter_arg_value && cached_arg_value != Py_None) { PyDict_SetItem(cached_args_dict, counter_arg_key, Py_None); PyDict_SetItem(cur_diffed_arg, counter_arg_key, Py_None); } } PyDict_SetItem(diffed_args, ts, cur_diffed_arg); Py_DECREF(cur_diffed_arg); } // write all the arg keys // write the number of timestamp of this counter arg_nums = PyDict_Size(cached_args_dict); fwrite(&arg_nums, sizeof(uint64_t), 1, fptr); arg_key_list = PyDict_Keys(cached_args_dict); if (!arg_key_list) { PyErr_SetString(PyExc_ValueError, "failed to get arg name list"); goto clean_exit; } // write all the name for all arguments appeared for (uint64_t i = 0; i < arg_nums; i++) { const char * key_name = NULL; counter_arg_key = PyList_GetItem(arg_key_list, i); key_name = PyUnicode_AsUTF8(counter_arg_key); fwritestr(key_name, fptr); } // write [timestamp - values] * ts_key_count fwrite(&ts_key_count, sizeof(uint64_t), 1, fptr); for (uint64_t i = 0; i < ts_key_count; i++) { double ts_double = 0; int64_t ts_64 = 0; ts = PyList_GET_ITEM(ts_keys, i); cur_diffed_arg = PyDict_GetItem(diffed_args, ts); ts_double = PyFloat_AsDouble(ts); ts_64 = ts_double * 1000; fwrite(&ts_64, sizeof(int64_t), 1, fptr); for (uint64_t j = 0; j < arg_nums; j++) { counter_arg_value = PyDict_GetItem(cur_diffed_arg, PyList_GET_ITEM(arg_key_list, j)); if (!counter_arg_value) { fputc(VC_HEADER_COUNTER_ARG_SAME, fptr); } else if (PyLong_CheckExact(counter_arg_value)) { // if PyLongObject is overflowed, just store the string int overflow = 0; int64_t counter_value_int64 = PyLong_AsLongLongAndOverflow(counter_arg_value, &overflow); if (overflow == 0) { fputc(VC_HEADER_COUNTER_ARG_LONG, fptr); fwrite(&counter_value_int64, sizeof(int64_t), 1, fptr); } else { const char * num_string = NULL; overflowed_num_string = PyObject_Repr(counter_arg_value); num_string = PyUnicode_AsUTF8(overflowed_num_string); fputc(VC_HEADER_COUNTER_ARG_LONG_STRING, fptr); fwritestr(num_string, fptr); Py_DECREF(overflowed_num_string); } } else if (PyFloat_CheckExact(counter_arg_value)) { double counter_value_double = PyFloat_AsDouble(counter_arg_value); fputc(VC_HEADER_COUNTER_ARG_FLOAT, fptr); fwrite(&counter_value_double, sizeof(double), 1, fptr); } else if (counter_arg_value == Py_None) { fputc(VC_HEADER_COUNTER_ARG_UNKNOWN, fptr); } else { PyErr_SetString(PyExc_ValueError, "Counter can only take numeric values"); goto clean_exit; } } } clean_exit: Py_XDECREF(arg_key_list); Py_XDECREF(ts_keys); Py_DECREF(cached_args_dict); Py_DECREF(diffed_args); if (PyErr_Occurred()) { return 1; } return 0; } PyObject* load_counter_event(FILE* fptr) { PyObject* counter_events_list = PyList_New(0); PyObject* arg_key_list = PyList_New(0); PyObject* cached_args = PyDict_New(); PyObject* counter_ph = PyUnicode_FromString("C"); PyObject* counter_event = NULL; PyObject* current_arg = NULL; PyObject* counter_arg_key = NULL; PyObject* counter_arg_value = NULL; PyObject* counter_name = NULL; PyObject* counter_pid = NULL; PyObject* counter_tid = NULL; uint64_t pid = 0; uint64_t tid = 0; uint64_t arg_key_count = 0; uint64_t counter_event_count = 0; int64_t ts_64 = 0; uint8_t header = 0; int64_t value_longlong = 0; double value_double = 0; char buffer[STRING_BUFFER_SIZE] = {0}; char* string_value = NULL; char* name = NULL; // read pid, tid, name and keys READ_DATA(&pid, uint64_t, fptr); READ_DATA(&tid, uint64_t, fptr); name = freadstr(fptr); READ_DATA(&arg_key_count, uint64_t, fptr); counter_name = PyUnicode_FromString(name); free(name); counter_pid = PyLong_FromUnsignedLongLong(pid); counter_tid = PyLong_FromUnsignedLongLong(tid); for (uint64_t i = 0; i < arg_key_count; i++) { freadstrn(buffer, STRING_BUFFER_SIZE - 1, fptr); counter_arg_key = PyUnicode_FromString(buffer); PyList_Append(arg_key_list, counter_arg_key); Py_DECREF(counter_arg_key); } // read counter events // cached_args stores the newest value // current_arg stores the counter arg of current timestamp READ_DATA(&counter_event_count, uint64_t, fptr); for (uint64_t i = 0; i < counter_event_count; i++) { current_arg = PyDict_New(); READ_DATA(&ts_64, int64_t, fptr); for (uint64_t j = 0; j < arg_key_count; j++) { READ_DATA(&header, uint8_t, fptr); counter_arg_key = PyList_GetItem(arg_key_list, j); // counter arg not change means current value is same with it in last arg // so we need to read it from cached_args // other state means current value is different from it in last arg // so we need to read it from file and save it in cached_args switch (header) { case VC_HEADER_COUNTER_ARG_UNKNOWN: PyDict_SetItem(cached_args, counter_arg_key, Py_None); break; case VC_HEADER_COUNTER_ARG_SAME: counter_arg_value = PyDict_GetItem(cached_args, counter_arg_key); if (counter_arg_value && counter_arg_value != Py_None) { PyDict_SetItem(current_arg, counter_arg_key, counter_arg_value); } break; case VC_HEADER_COUNTER_ARG_LONG: READ_DATA(&value_longlong, int64_t, fptr); counter_arg_value = PyLong_FromLongLong(value_longlong); PyDict_SetItem(current_arg, counter_arg_key, counter_arg_value); PyDict_SetItem(cached_args, counter_arg_key, counter_arg_value); Py_DECREF(counter_arg_value); break; case VC_HEADER_COUNTER_ARG_FLOAT: READ_DATA(&value_double, double, fptr); counter_arg_value = PyFloat_FromDouble(value_double); PyDict_SetItem(current_arg, counter_arg_key, counter_arg_value); PyDict_SetItem(cached_args, counter_arg_key, counter_arg_value); Py_DECREF(counter_arg_value); break; case VC_HEADER_COUNTER_ARG_LONG_STRING: string_value = freadstr(fptr); counter_arg_value = PyLong_FromString(string_value, NULL, 0); free(string_value); PyDict_SetItem(current_arg, counter_arg_key, counter_arg_value); PyDict_SetItem(cached_args, counter_arg_key, counter_arg_value); Py_DECREF(counter_arg_value); break; default: PyErr_SetString(PyExc_ValueError, "counter arg header error!"); goto clean_exit; } } counter_event = PyDict_New(); PyList_Append(counter_events_list, counter_event); Py_DECREF(counter_event); PyDict_SetItemString(counter_event, "name", counter_name); PyDict_SetItemString(counter_event, "pid", counter_pid); PyDict_SetItemString(counter_event, "tid", counter_tid); PyDict_SetItemString(counter_event, "ph", counter_ph); PyDict_SetItemString(counter_event, "args", current_arg); Py_DECREF(current_arg); PyDict_SetItemStringDouble(counter_event, "ts", (double)ts_64 / 1000); } clean_exit: if (counter_name) { Py_DECREF(counter_name); } if (counter_pid) { Py_DECREF(counter_pid); } if (counter_tid) { Py_DECREF(counter_tid); } Py_DECREF(counter_ph); Py_DECREF(arg_key_list); Py_DECREF(cached_args); if (PyErr_Occurred()) { Py_DECREF(counter_events_list); return NULL; } return counter_events_list; } PyObject* load_events_from_file(FILE* fptr) { uint64_t version = 0; uint8_t header = 0; PyObject* parsed_events = PyDict_New(); PyObject* trace_events = PyList_New(0); PyObject* file_info = NULL; PyObject* name = NULL; PyObject* event = NULL; PyObject* counter_events = NULL; PyObject* fee_events = NULL; PyObject* other_events = NULL; uint64_t pid = 0; uint64_t tid = 0; PyObject* args = NULL; PyObject* unicode_X = PyUnicode_FromString("X"); PyObject* unicode_M = PyUnicode_FromString("M"); PyObject* unicode_FEE = PyUnicode_FromString("FEE"); PyObject* unicode_process_name = PyUnicode_FromString("process_name"); PyObject* unicode_thread_name = PyUnicode_FromString("thread_name"); char buffer[STRING_BUFFER_SIZE] = {0}; READ_DATA(&version, uint64_t, fptr); if (version != VCOMPRESSOR_VERSION) { Py_DECREF(trace_events); PyErr_SetString(PyExc_ValueError, "VCompressor does not support this version of file"); goto clean_exit; } PyDict_SetItemString(parsed_events, "traceEvents", trace_events); Py_DECREF(trace_events); while (fread(&header, sizeof(uint8_t), 1, fptr)) { switch (header) { case VC_HEADER_PROCESS_NAME: event = PyDict_New(); READ_DATA(&pid, uint64_t, fptr); READ_DATA(&tid, uint64_t, fptr); freadstrn(buffer, STRING_BUFFER_SIZE - 1, fptr); name = PyUnicode_FromString(buffer); event = PyDict_New(); args = PyDict_New(); PyDict_SetItemString(event, "ph", unicode_M); PyDict_SetItemString(event, "name", unicode_process_name); PyDict_SetItemStringULL(event, "pid", pid); PyDict_SetItemStringULL(event, "tid", tid); PyDict_SetItemString(event, "args", args); PyDict_SetItemString(args, "name", name); PyList_Append(trace_events, event); Py_DECREF(name); Py_DECREF(event); Py_DECREF(args); break; case VC_HEADER_THREAD_NAME: event = PyDict_New(); READ_DATA(&pid, uint64_t, fptr); READ_DATA(&tid, uint64_t, fptr); freadstrn(buffer, STRING_BUFFER_SIZE - 1, fptr); name = PyUnicode_FromString(buffer); event = PyDict_New(); args = PyDict_New(); PyDict_SetItemString(event, "ph", unicode_M); PyDict_SetItemString(event, "name", unicode_thread_name); PyDict_SetItemStringULL(event, "pid", pid); PyDict_SetItemStringULL(event, "tid", tid); PyDict_SetItemString(event, "args", args); PyDict_SetItemString(args, "name", name); PyList_Append(trace_events, event); Py_DECREF(name); Py_DECREF(event); Py_DECREF(args); break; case VC_HEADER_FEE: fee_events = load_fee_events(fptr); if (!fee_events) { goto clean_exit; } PyObject_CallMethod(trace_events, "extend", "O", fee_events); Py_DECREF(fee_events); if (PyErr_Occurred()) { goto clean_exit; } break; case VC_HEADER_FILE_INFO: file_info = load_file_info(fptr); if (!file_info) { goto clean_exit; } PyDict_SetItemString(parsed_events, "file_info", file_info); Py_DECREF(file_info); break; case VC_HEADER_COUNTER_EVENTS: counter_events = load_counter_event(fptr); if (!counter_events) { goto clean_exit; } PyObject_CallMethod(trace_events, "extend", "O", counter_events); Py_DECREF(counter_events); if (PyErr_Occurred()) { goto clean_exit; } break; case VC_HEADER_OTHER_EVENTS: other_events = json_loads_and_decompress_from_file(fptr); if (!other_events) { goto clean_exit; } PyObject_CallMethod(trace_events, "extend", "O", other_events); Py_DECREF(other_events); if (PyErr_Occurred()) { goto clean_exit; } break; default: printf("wrong header %d\n", header); } } clean_exit: Py_DECREF(unicode_X); Py_DECREF(unicode_M); Py_DECREF(unicode_FEE); Py_DECREF(unicode_process_name); Py_DECREF(unicode_thread_name); if (PyErr_Occurred()) { Py_DECREF(parsed_events); return NULL; } return parsed_events; } int dump_file_info(PyObject* file_info, FILE* fptr) { // write data fputc(VC_HEADER_FILE_INFO, fptr); if (json_dumps_and_compress_to_file(file_info, fptr) == 0){ return 0; } else { return 1; } } PyObject* load_file_info(FILE* fptr) { return json_loads_and_decompress_from_file(fptr); } ================================================ FILE: src/viztracer/modules/vcompressor/vc_dump.h ================================================ #ifndef __VC_DUMP_H__ #define __VC_DUMP_H__ #include #define VC_HEADER_RESERVED 0x00 #define VC_HEADER_FEE 0x01 #define VC_HEADER_PROCESS_NAME 0x02 #define VC_HEADER_THREAD_NAME 0x03 #define VC_HEADER_COUNTER_EVENTS 0x04 #define VC_HEADER_OTHER_EVENTS 0x05 #define VC_HEADER_FILE_INFO 0x11 #define VC_HEADER_COUNTER_ARG_UNKNOWN 0x21 #define VC_HEADER_COUNTER_ARG_SAME 0x22 #define VC_HEADER_COUNTER_ARG_LONG 0x23 #define VC_HEADER_COUNTER_ARG_FLOAT 0x24 #define VC_HEADER_COUNTER_ARG_LONG_STRING 0x25 #define TS_6_BIT 0x00 #define TS_14_BIT 0x01 #define TS_30_BIT 0x02 #define TS_62_BIT 0x03 PyObject* decompress_bytes(PyObject* bytes_data); PyObject* compress_bytes(PyObject* bytes_data); PyObject* json_loads_from_bytes(PyObject* bytes_data); PyObject* json_dumps_to_bytes(PyObject* json_data); PyObject* json_loads_and_decompress_from_file(FILE* fptr); int json_dumps_and_compress_to_file(PyObject* json_data, FILE* fptr); int dump_metadata(FILE* fptr); int dump_parsed_trace_events(PyObject* trace_events, FILE* fptr); int dump_file_info(PyObject* file_info, FILE* fptr); int diff_and_write_counter_args(PyObject* counter_args, FILE* fptr); int write_fee_events(PyObject* fee_key, PyObject* fee_value, FILE* fptr); PyObject* load_events_from_file(FILE* fptr); PyObject* load_file_info(FILE* fptr); PyObject* load_counter_event(FILE* fptr); PyObject * load_fee_events(FILE* fptr); #endif ================================================ FILE: src/viztracer/modules/vcompressor/vcompressor.c ================================================ // Licensed under the Apache License: http://www.apache.org/licenses/LICENSE-2.0 // For details: https://github.com/gaogaotiantian/viztracer/blob/master/NOTICE.txt #include #include "vcompressor.h" #include "vc_dump.h" PyObject* json_module = NULL; PyObject* zlib_module = NULL; static PyObject* vcompressor_new(PyTypeObject* type, PyObject* args, PyObject* kwargs) { PyObject* self = PyType_GenericNew(type, args, kwargs); return (PyObject*)self; } static void vcompressor_dealloc(VcompressorObject* self) { Py_TYPE(self)->tp_free((PyObject*) self); } static PyObject* parse_trace_events(PyObject* trace_events) { PyObject* parsed_events = NULL; PyObject* fee_events = NULL; PyObject* counter_events = NULL; PyObject* other_events = NULL; PyObject* process_names = NULL; PyObject* thread_names = NULL; PyObject* key = NULL; if (!PyList_CheckExact(trace_events)) { return NULL; } // Initialize the event holder parsed_events = PyDict_New(); fee_events = PyDict_New(); counter_events = PyDict_New(); process_names = PyDict_New(); thread_names = PyDict_New(); other_events = PyList_New(0); PyDict_SetItemString(parsed_events, "fee_events", fee_events); PyDict_SetItemString(parsed_events, "process_names", process_names); PyDict_SetItemString(parsed_events, "thread_names", thread_names); PyDict_SetItemString(parsed_events, "counter_events", counter_events); PyDict_SetItemString(parsed_events, "other_events", other_events); Py_DECREF(fee_events); Py_DECREF(process_names); Py_DECREF(thread_names); Py_DECREF(counter_events); Py_DECREF(other_events); for (Py_ssize_t i = 0; i < PyList_GET_SIZE(trace_events); i++) { PyObject* event = PyList_GetItem(trace_events, i); PyObject* ph = NULL; PyObject* name = NULL; PyObject* args_name = NULL; PyObject* pid = NULL; PyObject* tid = NULL; PyObject* ts = NULL; PyObject* dur = NULL; PyObject* fee_args = NULL; PyObject* counter_args = NULL; PyObject* ts_dur_tuple = NULL; PyObject* event_ts_list = NULL; PyObject* counter_event_dict = NULL; if (PyErr_Occurred() || !PyDict_CheckExact(event)) { PyErr_SetString(PyExc_ValueError, "event format failure"); goto clean_exit; } ph = PyDict_GetItemString(event, "ph"); if (!ph || !PyUnicode_CheckExact(ph)) { PyErr_SetString(PyExc_ValueError, "event format failure"); goto clean_exit; } switch (PyUnicode_AsUTF8(ph)[0]) { case 'X': name = PyDict_GetItemString(event, "name"); ts = PyDict_GetItemString(event, "ts"); dur = PyDict_GetItemString(event, "dur"); pid = PyDict_GetItemString(event, "pid"); tid = PyDict_GetItemString(event, "tid"); if (!ts || !dur || !pid || !tid) { PyErr_SetString(PyExc_ValueError, "event format failure"); goto clean_exit; } // Prepare the tuple key key = PyTuple_New(4); // PyTuple_SetItem steals reference Py_INCREF(pid); Py_INCREF(tid); Py_INCREF(name); PyTuple_SET_ITEM(key, 0, pid); PyTuple_SET_ITEM(key, 1, tid); PyTuple_SET_ITEM(key, 2, name); // This indicates that if there's args in fee fee_args = PyDict_GetItemString(event, "args"); if (fee_args) { PyTuple_SET_ITEM(key, 3, Py_True); Py_INCREF(Py_True); } else { PyTuple_SET_ITEM(key, 3, Py_False); Py_INCREF(Py_False); } if (!PyDict_Contains(fee_events, key)) { event_ts_list = PyList_New(0); PyDict_SetItem(fee_events, key, event_ts_list); Py_DECREF(event_ts_list); } else { event_ts_list = PyDict_GetItem(fee_events, key); } Py_DECREF(key); if (fee_args) { ts_dur_tuple = PyTuple_New(3); } else { ts_dur_tuple = PyTuple_New(2); } Py_INCREF(ts); Py_INCREF(dur); PyTuple_SET_ITEM(ts_dur_tuple, 0, ts); PyTuple_SET_ITEM(ts_dur_tuple, 1, dur); if (fee_args) { PyTuple_SET_ITEM(ts_dur_tuple, 2, fee_args); Py_INCREF(fee_args); } PyList_Append(event_ts_list, ts_dur_tuple); Py_DECREF(ts_dur_tuple); break; case 'M': name = PyDict_GetItemString(event, "name"); pid = PyDict_GetItemString(event, "pid"); tid = PyDict_GetItemString(event, "tid"); if (!name || !pid || !tid) { PyErr_SetString(PyExc_ValueError, "event format failure"); goto clean_exit; } args_name = PyDict_GetItemString( PyDict_GetItemString(event, "args"), "name" ); PyObject* id_key = PyTuple_New(2); // PyTuple_SetItem steals reference Py_INCREF(pid); Py_INCREF(tid); PyTuple_SET_ITEM(id_key, 0, pid); PyTuple_SET_ITEM(id_key, 1, tid); if (PyUnicode_CompareWithASCIIString(name, "process_name") == 0) { PyDict_SetItem(process_names, id_key, args_name); } else if (PyUnicode_CompareWithASCIIString(name, "thread_name") == 0) { PyDict_SetItem(thread_names, id_key, args_name); } else { PyErr_SetString(PyExc_ValueError, "event format failure"); Py_DECREF(id_key); goto clean_exit; } Py_DECREF(id_key); break; // Counter Event // {"pid": 852, "tid": 852, "ts": 358802972.1, "ph": "C", "name": "counter name", "args": {"a": 20, "b": 10}} case 'C': name = PyDict_GetItemString(event, "name"); pid = PyDict_GetItemString(event, "pid"); tid = PyDict_GetItemString(event, "tid"); ts = PyDict_GetItemString(event, "ts"); if (!ts || !name || !pid || !tid) { PyErr_SetString(PyExc_ValueError, "event format failure"); goto clean_exit; } counter_args = PyDict_GetItemString(event, "args"); PyObject* counter_id_key = PyTuple_New(3); // counter_id_key steals the reference, so we need to call Py_INCREF here Py_INCREF(name); Py_INCREF(pid); Py_INCREF(tid); PyTuple_SET_ITEM(counter_id_key, 0, pid); PyTuple_SET_ITEM(counter_id_key, 1, tid); PyTuple_SET_ITEM(counter_id_key, 2, name); if (!PyDict_Contains(counter_events, counter_id_key)){ counter_event_dict = PyDict_New(); PyDict_SetItem(counter_events, counter_id_key, counter_event_dict); Py_DECREF(counter_event_dict); } else { counter_event_dict = PyDict_GetItem(counter_events, counter_id_key); } Py_DECREF(counter_id_key); if (PyDict_Contains(counter_event_dict, ts)) { PyErr_SetString(PyExc_ValueError, "event format failure, reason: same counter event timestamp"); goto clean_exit; } PyDict_SetItem(counter_event_dict, ts, counter_args); break; // Other Events, such as instant events, VizObject and user defined events default: PyList_Append(other_events, event); break; } } clean_exit: if (PyErr_Occurred()) { if (parsed_events) { Py_DECREF(parsed_events); } return NULL; } return parsed_events; } static PyObject* vcompressor_compress(VcompressorObject* self, PyObject* args) { PyObject* raw_data = NULL; PyObject* trace_events = NULL; PyObject* parsed_events = NULL; PyObject* file_info = NULL; const char* filename = NULL; FILE* fptr = NULL; if (!PyArg_ParseTuple(args, "Os", &raw_data, &filename)) { PyErr_SetString(PyExc_ValueError, "Can't parse the argument correctly"); goto clean_exit; } if (!PyDict_CheckExact(raw_data)) { PyErr_SetString(PyExc_ValueError, "You need to pass in a dict"); goto clean_exit; } trace_events = PyDict_GetItemString(raw_data, "traceEvents"); if (!trace_events || !PyList_CheckExact(trace_events)) { PyErr_SetString(PyExc_ValueError, "Unable to find traceEvents"); goto clean_exit; } fptr = fopen(filename, "wb"); if (!fptr) { PyErr_Format(PyExc_ValueError, "Can't open file %s to write", filename); goto clean_exit; } dump_metadata(fptr); parsed_events = parse_trace_events(trace_events); if (!parsed_events) { PyErr_SetString(PyExc_ValueError, "Unable to find traceEvents"); goto clean_exit; } Py_INCREF(parsed_events); if (dump_parsed_trace_events(parsed_events, fptr) != 0) { goto clean_exit; } // file_info here is a borrowed reference file_info = PyDict_GetItemString(raw_data, "file_info"); if (file_info != NULL) { if (dump_file_info(file_info, fptr) != 0) { goto clean_exit; } } clean_exit: if (parsed_events) { Py_DECREF(parsed_events); } if (fptr) { fclose(fptr); } if (PyErr_Occurred()) { return NULL; } return parsed_events; // Py_RETURN_NONE; } static PyObject* vcompressor_decompress(VcompressorObject* self, PyObject* args) { PyObject* parsed_events = NULL; const char* filename = NULL; FILE* fptr = NULL; if (!PyArg_ParseTuple(args, "s", &filename)) { return NULL; } fptr = fopen(filename, "rb"); if (!fptr) { PyErr_Format(PyExc_ValueError, "Can't open file %s to write", filename); goto clean_exit; } parsed_events = load_events_from_file(fptr); clean_exit: if (fptr) { fclose(fptr); } if (PyErr_Occurred()) { if (parsed_events) { Py_DECREF(parsed_events); } return NULL; } return parsed_events; } // ================================================================ // Python interface // ================================================================ static PyMethodDef Vcompressor_methods[] = { {"compress", (PyCFunction)vcompressor_compress, METH_VARARGS, "compress function"}, {"decompress", (PyCFunction)vcompressor_decompress, METH_VARARGS, "decompress function"}, {NULL, NULL, 0, NULL} }; static struct PyModuleDef compressormodule = { PyModuleDef_HEAD_INIT, "viztracer.vcompressor", NULL, -1, Vcompressor_methods }; static PyTypeObject VcompressorType = { PyVarObject_HEAD_INIT(NULL, 0) .tp_name = "viztracer.Vcompressor", .tp_doc = "Vcompressor", .tp_basicsize = sizeof(VcompressorObject), .tp_itemsize = 0, .tp_dict = NULL, .tp_flags = Py_TPFLAGS_DEFAULT, .tp_new = vcompressor_new, .tp_dealloc = (destructor) vcompressor_dealloc, .tp_methods = Vcompressor_methods }; PyMODINIT_FUNC PyInit_vcompressor(void) { // Tracer Module PyObject* m = NULL; if (PyType_Ready(&VcompressorType) < 0) { return NULL; } m = PyModule_Create(&compressormodule); if (!m) { return NULL; } #ifdef Py_GIL_DISABLED PyUnstable_Module_SetGIL(m, Py_MOD_GIL_NOT_USED); #endif Py_INCREF(&VcompressorType); if (PyModule_AddObject(m, "VCompressor", (PyObject*) &VcompressorType) < 0) { Py_DECREF(&VcompressorType); Py_DECREF(m); return NULL; } zlib_module = PyImport_ImportModule("zlib"); json_module = PyImport_ImportModule("json"); return m; } ================================================ FILE: src/viztracer/modules/vcompressor/vcompressor.h ================================================ #ifndef __VCOMPRESSOR_H__ #define __VCOMPRESSOR_H__ #include #define VCOMPRESSOR_VERSION 1 typedef struct { PyObject_HEAD } VcompressorObject; extern PyObject* json_module; extern PyObject* zlib_module; #endif ================================================ FILE: src/viztracer/patch.py ================================================ # Licensed under the Apache License: http://www.apache.org/licenses/LICENSE-2.0 # For details: https://github.com/gaogaotiantian/viztracer/blob/master/NOTICE.txt from __future__ import annotations import functools import multiprocessing.spawn import multiprocessing.util import os import re import shutil import subprocess import sys import textwrap import weakref from multiprocessing import Process from typing import TYPE_CHECKING, Any, Callable, Sequence, no_type_check if TYPE_CHECKING: from .viztracer import VizTracer def patch_subprocess(viz_args: list[str]) -> None: import shlex import subprocess # Try to detect the end of the python argument list and parse out various invocation patterns: # `file.py args` | - args | `-- file.py args` | `-cprint(5) args` | `-Esm mod args` py_arg_pat = re.compile("([^-].+)|-$|(--)$|-([a-z]+)?(c|m)(.+)?", re.IGNORECASE) # Note: viztracer doesn't really work in interactive mode and arg handling is weird. # Unlikely to be used in practice anyway so we just skip wrapping interactive python processes. interactive_pat = re.compile("-[A-Za-z]*?i[A-Za-z]*$") def build_command(args: Sequence[str]) -> list[str] | None: py_args: list[str] = [] mode: list[str] | None = [] script = None args_iter = iter(args[1:]) for arg in args_iter: if interactive_pat.match(arg): return None match = py_arg_pat.match(arg) if match: file, ddash, cm_py_args, cm, cm_arg = match.groups() if file: # file.py [script args] script = file elif ddash: # -- file.py [script args] script = next(args_iter, None) elif cm: # -m mod [script args] if cm_py_args: # "-[pyopts]m" py_args.append(f"-{cm_py_args}") mode = [f"-{cm}"] # -m mod | -mmod cm_arg = cm_arg or next(args_iter, None) if cm_arg is not None: if cm_arg.split(".")[0] == "viztracer": # Avoid tracing viztracer subprocess # This is mainly used to avoid tracing --open return None mode.append(cm_arg) else: mode = None break # -pyopts py_args.append(arg) if arg in ("-X", "-W", "--check-hash-based-pycs"): arg_next = next(args_iter, None) if arg_next is not None: py_args.append(arg_next) else: return None if script: return [ sys.executable, *py_args, "-m", "viztracer", "--quiet", *viz_args, "--", script, *args_iter, ] elif mode: return [ sys.executable, *py_args, "-m", "viztracer", "--quiet", *viz_args, *mode, "--", *args_iter, ] return None def is_python_entry(path: str) -> bool: real_path = shutil.which(path) if real_path is None: return False try: with open(real_path, "rb") as f: if f.read(2) == b"#!": executable = f.readline().decode("utf-8").strip() if "python" in executable.split("/")[-1]: return True except Exception: # pragma: no cover pass return False @functools.wraps(subprocess.Popen.__init__) def subprocess_init( self: subprocess.Popen[Any], args: str | Sequence[Any] | Any, **kwargs: Any ) -> None: new_args = args if isinstance(new_args, str): new_args = shlex.split(new_args, posix=sys.platform != "win32") if isinstance(new_args, Sequence): if "python" in os.path.basename(new_args[0]): new_args = build_command(new_args) elif is_python_entry(new_args[0]): new_args = [ "python", "-m", "viztracer", "--quiet", *viz_args, "--", *new_args, ] else: new_args = None if new_args is not None and kwargs.get("shell") and isinstance(args, str): # For shell=True, we should convert the commands back to string # if it was passed as string # This is mostly for Unix shell new_args = " ".join(new_args) if new_args is None: new_args = args assert hasattr(subprocess_init, "__wrapped__") # for mypy subprocess_init.__wrapped__(self, new_args, **kwargs) setattr(subprocess.Popen, "__originit__", subprocess.Popen.__init__) setattr(subprocess.Popen, "__init__", subprocess_init) def patch_multiprocessing(tracer: VizTracer, viz_args: list[str]) -> None: tracer_ref = weakref.ref(tracer) # For fork process def func_after_fork(tracer: VizTracer): # This is the callback specifically for multiprocessing # We have to re-register exit handler here because multiprocessing clears it # We also want to reset the stack so it believes the current frame is the root tracer.register_exit() tracer.clear() tracer.reset_stack() tracer.connect_report_server() if tracer._afterfork_cb: tracer._afterfork_cb( tracer, *tracer._afterfork_args, **tracer._afterfork_kwargs ) from multiprocessing.util import register_after_fork # type: ignore register_after_fork(tracer, func_after_fork) if sys.platform == "win32": # For spawn process on Windows @functools.wraps(multiprocessing.spawn.get_command_line) def get_command_line(**kwds) -> list[str]: """ Returns prefix of command line used for spawning a child process """ if getattr(sys, "frozen", False): # pragma: no cover return [sys.executable, "--multiprocessing-fork"] + [ "%s=%r" % item for item in kwds.items() ] else: if (tracer := tracer_ref()) is None: prog = ( "from multiprocessing.spawn import spawn_main; spawn_main(%s)" ) else: prog = textwrap.dedent(f""" from multiprocessing.spawn import spawn_main; from viztracer.patch import patch_spawned_process; patch_spawned_process({tracer.init_kwargs}, {viz_args}); spawn_main(%s) """) prog %= ", ".join("%s=%r" % item for item in kwds.items()) opts = multiprocessing.util._args_from_interpreter_flags() # type: ignore return ( [multiprocessing.spawn._python_exe] + opts + ["-c", prog, "--multiprocessing-fork"] ) # type: ignore multiprocessing.spawn.get_command_line_orig = ( multiprocessing.spawn.get_command_line ) multiprocessing.spawn.get_command_line = get_command_line else: # POSIX # For forkserver process and spawned process # We patch spawnv_passfds to trace forkserver parent process so the forked # children can be traced _spawnv_passfds = multiprocessing.util.spawnv_passfds @functools.wraps(_spawnv_passfds) def spawnv_passfds(path, args, passfds): if "-c" in args: idx = args.index("-c") cmd = args[idx + 1] if "forkserver" in cmd: # forkserver will not end before main process, avoid deadlock by --patch_only args = ( args[:idx] + ["-m", "viztracer", "--patch_only", *viz_args] + args[idx:] ) elif "resource_tracker" not in cmd: # We don't trace resource_tracker as it does not quit before the main process # This is a normal spawned process. Only one of spawnv_passfds and spawn._main # can be patched. forkserver process will use spawn._main after forking a child, # so on POSIX we patch spawnv_passfds which has a similar effect on spawned processes. args = args[:idx] + ["-m", "viztracer", *viz_args] + args[idx:] ret = _spawnv_passfds(path, args, passfds) return ret multiprocessing.util.spawnv_passfds_orig = multiprocessing.util.spawnv_passfds # type: ignore multiprocessing.util.spawnv_passfds = spawnv_passfds # type: ignore class SpawnProcess: def __init__( self, viztracer_kwargs: dict[str, Any], run: Callable, target: Callable, args: list[Any], kwargs: dict[str, Any], cmdline_args: list[str], ): self._viztracer_kwargs = viztracer_kwargs self._run = run self._target = target self._args = args self._kwargs = kwargs self._cmdline_args = cmdline_args self._exiting = False def run(self) -> None: import viztracer tracer = viztracer.VizTracer(**self._viztracer_kwargs) tracer.register_exit() tracer.start() self._run() def patch_spawned_process(viztracer_kwargs: dict[str, Any], cmdline_args: list[str]): from multiprocessing import process, reduction # type: ignore from multiprocessing.spawn import prepare @no_type_check @functools.wraps(multiprocessing.spawn._main) def _main(fd, parent_sentinel) -> Any: with os.fdopen(fd, "rb", closefd=True) as from_parent: process.current_process()._inheriting = True try: preparation_data = reduction.pickle.load(from_parent) prepare(preparation_data) self: Process = reduction.pickle.load(from_parent) sp = SpawnProcess( viztracer_kwargs, self.run, self._target, self._args, self._kwargs, cmdline_args, ) self.run = sp.run finally: del process.current_process()._inheriting return self._bootstrap(parent_sentinel) multiprocessing.spawn._main_orig = multiprocessing.spawn._main # type: ignore multiprocessing.spawn._main = _main # type: ignore class HookManager: _instance = None def __new__(cls): if cls._instance is None: cls._instance = super().__new__(cls) cls._tracer = None cls._installed = False return cls._instance def set_tracer(self, tracer: VizTracer | None) -> None: self._tracer = weakref.ref(tracer) if tracer is not None else None self.install_hooks() def install_hooks(self): if not self._installed: if hasattr(os, "register_at_fork"): os.register_at_fork(after_in_child=self._after_fork) sys.addaudithook(self._audit_callback) self._installed = True def _after_fork(self): if ( self._tracer and (tracer := self._tracer()) and not tracer.ignore_multiprocess ): if tracer.report_server_process is not None: tracer.report_server_process = None if tracer.report_socket_file is not None: # Reconnect to report server in the forked child process # otherwise it conflicts with the parent's connection tracer.connect_report_server() tracer.register_exit() tracer.start() def _audit_callback(self, event: str, args: Any) -> None: # pragma: no cover if ( self._tracer and (tracer := self._tracer()) and not tracer.ignore_multiprocess ): if event == "os.exec": tracer.exit_routine() if tracer.log_audit is not None: audit_regex_list = [re.compile(regex) for regex in tracer.log_audit] if len(audit_regex_list) == 0 or any( (regex.fullmatch(event) for regex in audit_regex_list) ): tracer.log_instant(event, args={"args": [str(arg) for arg in args]}) def install_all_hooks(tracer: VizTracer) -> None: uninstall_all_hooks() args = tracer.get_args() # multiprocess hook if not tracer.ignore_multiprocess: patch_multiprocessing(tracer, args) patch_subprocess(args) HookManager().set_tracer(tracer) def uninstall_all_hooks() -> None: HookManager().set_tracer(None) if hasattr(subprocess.Popen, "__originit__"): setattr(subprocess.Popen, "__init__", subprocess.Popen.__originit__) # type: ignore delattr(subprocess.Popen, "__originit__") if hasattr(multiprocessing.spawn, "_main_orig"): setattr(multiprocessing.spawn, "_main", multiprocessing.spawn._main_orig) delattr(multiprocessing.spawn, "_main_orig") if hasattr(multiprocessing.spawn, "get_command_line_orig"): setattr( multiprocessing.spawn, "get_command_line", multiprocessing.spawn.get_command_line_orig, ) delattr(multiprocessing.spawn, "get_command_line_orig") if hasattr(multiprocessing.util, "spawnv_passfds_orig"): setattr( multiprocessing.util, "spawnv_passfds", multiprocessing.util.spawnv_passfds_orig, ) delattr(multiprocessing.util, "spawnv_passfds_orig") ================================================ FILE: src/viztracer/report_builder.py ================================================ # Licensed under the Apache License: http://www.apache.org/licenses/LICENSE-2.0 # For details: https://github.com/gaogaotiantian/viztracer/blob/master/NOTICE.txt try: import orjson as json # type: ignore except ImportError: import json # type: ignore import gzip import importlib import os import re import tokenize from string import Template from typing import Any, Sequence, TextIO from . import __version__ from .util import color_print, same_line_print def get_json(data: dict[str, Any] | str | tuple[str, dict]) -> dict[str, Any]: # This function will return a json object if data is already json object # or a opened file or a file path if isinstance(data, dict): # This is an object already return data elif isinstance(data, str): with open(data, encoding="utf-8") as f: json_str = f.read() elif isinstance(data, tuple): path, args = data if args["type"] == "torch": with open(path, encoding="utf-8") as f: json_str = f.read() ret = json.loads(json_str) base_offset = args["base_offset"] # torch 2.4.0+ uses baseTimeNanoseconds to store the offset # before that they simply use the absolute timestamp which is # equivalent to baseTimeNanoseconds = 0 torch_offset = ret.get("baseTimeNanoseconds", 0) # convert to us offset_diff = (torch_offset - base_offset) / 1000 for event in ret["traceEvents"]: if "ts" in event: event["ts"] += offset_diff if event["ph"] == "M": # Pop metadata timestamp so it won't overwrite # process and thread names event.pop("ts", None) ret.pop("baseTimeNanoseconds", None) ret.pop("displayTimeUnit", None) ret.pop("traceName") ret.pop("deviceProperties") ret.pop("schemaVersion") ret["viztracer_metadata"] = {} return ret return json.loads(json_str) class ReportBuilder: def __init__( self, data: Sequence[str | dict | tuple[str, dict]] | dict[str, Any], verbose: int = 1, align: bool = False, minimize_memory: bool = False, base_time: int | None = None, ) -> None: self.data = data self.verbose = verbose self.combined_json: dict = {} self.entry_number_threshold = 4000000 self.align = align self.minimize_memory = minimize_memory self.jsons: list[dict] = [] self.invalid_json_paths: list[str] = [] self.json_loaded = False self.base_time = base_time self.final_messages: list[tuple[str, dict]] = [] if not isinstance(data, (dict, list, tuple)): raise TypeError("Invalid data type for ReportBuilder") if isinstance(data, (list, tuple)): for path in data: if isinstance(path, dict): continue if isinstance(path, tuple): path = path[0] if not isinstance(path, str): raise TypeError("Path should be a string") if not os.path.exists(path): raise ValueError(f"{path} does not exist") if not path.endswith(".json"): raise ValueError(f"{path} is not a json file") def load_jsons(self) -> None: if not self.json_loaded: self.json_loaded = True if isinstance(self.data, dict): self.jsons = [get_json(self.data)] elif isinstance(self.data, (list, tuple)): self.jsons = [] self.invalid_json_paths = [] for idx, j in enumerate(self.data): if self.verbose > 0: same_line_print( f"Loading trace data from processes {idx}/{len(self.data)}" ) try: self.jsons.append(get_json(j)) except json.JSONDecodeError: assert isinstance(j, str) self.invalid_json_paths.append(j) if len(self.invalid_json_paths) > 0: self.final_messages.append( ("invalid_json", {"paths": self.invalid_json_paths}) ) def combine_json(self) -> None: if self.verbose > 0: same_line_print("Combining trace data") if self.combined_json: return if not self.jsons: if self.invalid_json_paths: raise ValueError("No valid json files found") else: raise ValueError("Can't get report of nothing") if self.align: for one in self.jsons: self.align_events( one["traceEvents"], one["viztracer_metadata"].get("sync_marker", None), ) self.combined_json = self.jsons[0] if "viztracer_metadata" not in self.combined_json: self.combined_json["viztracer_metadata"] = {} for one in self.jsons[1:]: if "traceEvents" in one: self.combined_json["traceEvents"].extend(one["traceEvents"]) if one.get("viztracer_metadata", {}).get("overflow", False): self.combined_json["viztracer_metadata"]["overflow"] = True if one.get("viztracer_metadata", {}).get("baseTimeNanoseconds") is not None: self.combined_json["viztracer_metadata"]["baseTimeNanoseconds"] = one[ "viztracer_metadata" ]["baseTimeNanoseconds"] if "file_info" in one: if "file_info" not in self.combined_json: self.combined_json["file_info"] = {"files": {}, "functions": {}} self.combined_json["file_info"]["files"].update( one["file_info"]["files"] ) self.combined_json["file_info"]["functions"].update( one["file_info"]["functions"] ) def align_events( self, original_events: list[dict[str, Any]], sync_marker: float | None = None ) -> list[dict[str, Any]]: """ Apply an offset to all the trace events, making the start timestamp 0 This is useful when comparing multiple runs of the same script If sync_marker is not None then sync_marker be used as an offset This function will change the timestamp in place, and return the original list """ if sync_marker is None: offset_ts = min((event["ts"] for event in original_events if "ts" in event)) else: offset_ts = sync_marker for event in original_events: if "ts" in event: event["ts"] -= offset_ts return original_events def prepare_json( self, file_info: bool = True, display_time_unit: str | None = None ) -> None: # This will prepare self.combined_json to be ready to output self.load_jsons() self.combine_json() if self.verbose > 0: entries = len(self.combined_json["traceEvents"]) same_line_print(f"Dumping trace data, total entries: {entries}") self.final_messages.append(("total_entries", {"total_entries": entries})) if self.combined_json["viztracer_metadata"].get("overflow", False): self.final_messages.append(("overflow", {})) if display_time_unit is not None: self.combined_json["displayTimeUnit"] = display_time_unit self.combined_json["viztracer_metadata"]["version"] = __version__ if self.base_time is not None: self.combined_json["viztracer_metadata"]["baseTimeNanoseconds"] = ( self.base_time ) if file_info: if "file_info" not in self.combined_json: self.combined_json["file_info"] = {"files": {}, "functions": {}} pattern = re.compile(r".*\((.*):([0-9]*)\)") file_dict = self.combined_json["file_info"]["files"] func_dict = self.combined_json["file_info"]["functions"] for event in self.combined_json["traceEvents"]: if event["ph"] == "X": if event["name"] not in func_dict: func_dict[event["name"]] = None m = pattern.match(event["name"]) if m is not None: file_name = m.group(1) lineno = int(m.group(2)) if file_name not in file_dict: content = self.get_source_from_filename(file_name) if content is None: continue file_dict[file_name] = [content, content.count("\n")] func_dict[event["name"]] = [file_name, lineno] unknown_func_dict = set( func for func in func_dict if func_dict[func] is None ) for func in unknown_func_dict: del func_dict[func] @classmethod def get_source_from_filename(cls, filename: str) -> str | None: if filename.startswith("", filename) if not m: return None module_name = m.group(1) try: module = importlib.import_module(module_name) except ImportError: return None if hasattr(module, "__file__") and module.__file__ is not None: filename = module.__file__ else: return None try: with tokenize.open(filename) as f: return f.read() except Exception: return None def generate_report( self, output_file: TextIO, output_format: str, file_info: bool = True ) -> None: sub = {} if output_format == "html": self.prepare_json(file_info=file_info, display_time_unit="ns") with open( os.path.join( os.path.dirname(__file__), "html/trace_viewer_embedder.html" ), encoding="utf-8", ) as f: tmpl = f.read() with open( os.path.join(os.path.dirname(__file__), "html/trace_viewer_full.html"), encoding="utf-8", ) as f: sub["trace_viewer_full"] = f.read() if json.__name__ == "orjson": sub["json_data"] = ( json.dumps(self.combined_json) .decode("utf-8") .replace("", "<\\/script>") ) else: sub["json_data"] = json.dumps(self.combined_json).replace( "", "<\\/script>" ) # type: ignore output_file.write(Template(tmpl).substitute(sub)) elif output_format == "json": self.prepare_json(file_info=file_info) if json.__name__ == "orjson": output_file.write(json.dumps(self.combined_json).decode("utf-8")) else: if self.minimize_memory: json.dump(self.combined_json, output_file) # type: ignore else: output_file.write(json.dumps(self.combined_json)) # type: ignore def save( self, output_file: str | TextIO = "result.html", file_info: bool = True ) -> None: if isinstance(output_file, str): output_file = os.path.abspath(output_file) if not os.path.isdir(os.path.dirname(output_file)): os.makedirs(os.path.dirname(output_file), exist_ok=True) file_type = output_file.split(".")[-1] if file_type == "html": with open(output_file, "w", encoding="utf-8") as f: self.generate_report(f, output_format="html", file_info=file_info) elif file_type == "json": with open(output_file, "w", encoding="utf-8") as f: self.generate_report(f, output_format="json", file_info=file_info) elif file_type == "gz": with gzip.open(output_file, "wt") as f: self.generate_report(f, output_format="json", file_info=file_info) else: raise Exception("Only html, json and gz are supported") else: self.generate_report(output_file, output_format="json", file_info=file_info) if isinstance(output_file, str): self.final_messages.append( ("view_command", {"output_file": os.path.abspath(output_file)}) ) self.print_messages() def print_messages(self): if self.verbose > 0: same_line_print("") for msg_type, msg_args in self.final_messages: if msg_type == "overflow": print("") color_print( "WARNING", ( "Circular buffer is full, you lost some early data, " "but you still have the most recent data." ), ) color_print( "WARNING", ' If you need more buffer, use "viztracer --tracer_entries "', ) color_print( "WARNING", " Or, you can try the filter options to filter out some data you don't need", ) color_print("WARNING", " use --quiet to shut me up") print("") elif msg_type == "total_entries": print(f"Total Entries: {msg_args['total_entries']}") elif msg_type == "view_command": report_abspath = os.path.abspath(msg_args["output_file"]) print("Use the following command to open the report:") if " " in report_abspath: color_print("OKGREEN", f'vizviewer "{report_abspath}"') else: color_print("OKGREEN", f"vizviewer {report_abspath}") elif msg_type == "invalid_json": print("") color_print( "WARNING", "Found and ignored invalid json file, you may lost some process data.", ) color_print("WARNING", "Invalid json file:") for msg in msg_args["paths"]: color_print("WARNING", f" {msg}") print("") ================================================ FILE: src/viztracer/report_server.py ================================================ # Licensed under the Apache License: http://www.apache.org/licenses/LICENSE-2.0 # For details: https://github.com/gaogaotiantian/viztracer/blob/master/NOTICE.txt import json import os import selectors import shutil import socket import subprocess import sys import tempfile import zlib from .report_builder import ReportBuilder from .util import same_line_print class ReportServer: def __init__( self, output_file: str, minimize_memory: bool = False, verbose: int = 1, endpoint: str | None = None, ) -> None: self._host = None self._port = None self.payloads: list[dict] = [] self.output_file = output_file self.minimize_memory = minimize_memory self.verbose = verbose self.report_directory: str | None = tempfile.mkdtemp(prefix="viztracer_report_") self._socket: socket.socket | None = socket.socket( socket.AF_INET, socket.SOCK_STREAM ) self._finish = False configs = [] if endpoint is not None: if "|" in endpoint: endpoint, config_str = endpoint.split("|") if config_str: configs = config_str.split(",") if endpoint or ( (endpoint := os.getenv("VIZTRACER_REPORT_SERVER_ENDPOINT")) is not None ): self._host, port_str = endpoint.split(":")[:2] self._port = int(port_str) else: self._host, self._port = "127.0.0.1", 0 if "append_newline" in configs: # If ReportServer is started in a subprocess, make sure the parent process # can read each same_line_print in real time. from .util import set_same_line_print_end set_same_line_print_end("\n") @classmethod def start_process( cls, output_file: str, minimize_memory: bool = False, verbose: int = 1, report_endpoint: str | None = None, ) -> tuple["subprocess.Popen", str]: args = [sys.executable, "-u", "-m", "viztracer", "-o", output_file] if report_endpoint is not None: args.extend(["--report_server", report_endpoint]) else: args.append("--report_server") if minimize_memory: args.append("--minimize_memory") if verbose == 0: args.append("--quiet") proc = subprocess.Popen( args, bufsize=0, stdout=subprocess.PIPE, stderr=subprocess.STDOUT ) assert proc.stdout is not None line = proc.stdout.readline().strip() endpoint = line.decode().split()[-1] return proc, endpoint def __del__(self) -> None: self.clear() def run(self) -> None: if self._socket is None: raise RuntimeError("ReportServer has been cleared") self._socket.bind((self._host, self._port)) self._host, self._port = self._socket.getsockname() self.collect() self.save() def clear(self) -> None: if self._socket is not None: self._socket.close() self._socket = None if self.report_directory and os.path.exists(self.report_directory): try: shutil.rmtree(self.report_directory) except Exception: # pragma: no cover pass self.report_directory = None @property def endpoint(self) -> str: return f"{self._host}:{self._port}" def collect(self): self._socket.listen() print(f"Report server started at {self.endpoint}", flush=True) sel = selectors.DefaultSelector() sel.register(self._socket, selectors.EVENT_READ) if sys.platform != "win32": try: sel.register(sys.stdin, selectors.EVENT_READ) except Exception: # sys.stdin may be some piped fd that we don't have permission to read pass const_count = len(sel.get_map()) started = False unfinished_children = 0 try: while True: if started: if len(sel.get_map()) == const_count: # No active connections break else: if ( len(sel.get_map()) - const_count != unfinished_children and self.verbose > 0 ): unfinished_children = len(sel.get_map()) - const_count same_line_print( f"Waiting for {unfinished_children} connections to send reports. " "Ctrl+C to ignore and dump now." ) events = sel.select() for key, _ in events: if key.fileobj is self._socket: conn, _ = self._socket.accept() sel.register(conn, selectors.EVENT_READ) conn.sendall((self.report_directory + "\n").encode()) started = True elif key.fileobj is sys.stdin: # On Unix, we can use stdin to break the loop data = key.fileobj.readline() if data == "\n": raise KeyboardInterrupt() else: try: self._recv_info(key.fileobj) except KeyboardInterrupt: # pragma: no cover raise except Exception: pass finally: sel.unregister(key.fileobj) key.fileobj.close() except KeyboardInterrupt: pass finally: if self.verbose > 0: same_line_print("") sel.close() def _recv_info(self, conn: socket.socket) -> None: buffer = bytearray() conn.settimeout(10) while d := conn.recv(1 << 20): buffer += d try: data = json.loads(zlib.decompress(buffer).decode().strip()) if "output_file" in data: self.output_file = data["output_file"] if "payload" in data: self.payloads.append(json.loads(data["payload"])) except Exception as exc: # pragma: no cover if self.verbose > 0: print(f"Failed to receive report data: {exc}") def save(self) -> None: if not self.payloads: if self.verbose > 0: print("No reports collected, nothing to save.") return builder = ReportBuilder( self.payloads, minimize_memory=self.minimize_memory, verbose=self.verbose ) builder.save(output_file=self.output_file) ================================================ FILE: src/viztracer/snaptrace.pyi ================================================ # Licensed under the Apache License: http://www.apache.org/licenses/LICENSE-2.0 # For details: https://github.com/gaogaotiantian/viztracer/blob/master/NOTICE.txt from typing import Any, Callable, Literal class Tracer: threadtracefunc: Callable include_files: list[str] | None exclude_files: list[str] | None def __init__(self, tracer_entries: int, /) -> None: ... def start(self) -> None: ... def stop(self, stop_option: str | None) -> None: ... def resume(self) -> None: ... def pause(self) -> None: ... def clear(self) -> None: ... def load(self) -> dict[str, Any]: ... def dump(self, filename: str, sanitize_function_name: bool = False) -> None: ... def setignorestackcounter(self, value: int) -> int: ... def reset_stack(self) -> None: ... def getts(self) -> float: ... def get_base_time(self) -> int: ... def setpid(self, pid: int = -1, /) -> None: ... def add_func_args(self, key: str, value: Any) -> None: ... def get_func_args(self) -> dict[str, Any] | None: ... def add_raw(self, raw: dict[str, Any]) -> None: ... def add_object( self, ph: str, obj_id: str, name: str, args: dict[str, Any] | None = None ) -> None: ... def add_counter(self, name: str, args: dict[str, Any]) -> None: ... def add_instant( self, name: str, args: Any = None, scope: Literal["g", "p", "t"] = "g" ) -> None: ... def set_sync_marker(self) -> None: """set current timestamp to synchronization marker""" ... def get_sync_marker(self) -> float | None: """get synchronization marker or None if not set""" ... ================================================ FILE: src/viztracer/util.py ================================================ # Licensed under the Apache License: http://www.apache.org/licenses/LICENSE-2.0 # For details: https://github.com/gaogaotiantian/viztracer/blob/master/NOTICE.txt import datetime import errno import os import re import sys import tempfile # Windows macros STILL_ACTIVE = 0x103 ERROR_ACCESS_DENIED = 0x5 PROCESS_QUERY_LIMITED_INFORMATION = 0x1000 def size_fmt(num: int | float, suffix: str = "B") -> str: for unit in ["", "Ki", "Mi", "Gi"]: if abs(num) < 1024.0: return f"{num:3.1f}{unit}{suffix}" num /= 1024.0 return f"{num:.1f}{'Ti'}{suffix}" class _bcolors: HEADER = "\033[95m" OKBLUE = "\033[94m" OKGREEN = "\033[92m" WARNING = "\033[93m" FAIL = "\033[91m" ENDC = "\033[0m" BOLD = "\033[1m" UNDERLINE = "\033[4m" bcolors = _bcolors() color_support = True if sys.platform == "win32": try: # https://stackoverflow.com/questions/36760127/... # how-to-use-the-new-support-for-ansi-escape-sequences-in-the-windows-10-console from ctypes import windll kernel32 = windll.kernel32 kernel32.SetConsoleMode(kernel32.GetStdHandle(-11), 7) except Exception: # pragma: no cover color_support = False def color_print(color, s: str, **kwargs) -> None: if color_support: print(bcolors.__getattribute__(color) + s + bcolors.ENDC, **kwargs) else: # pragma: no cover print(s) _same_line_print_end = "" def set_same_line_print_end(end: str) -> None: global _same_line_print_end _same_line_print_end = end def same_line_print(s: str, width: int = 80, **kwargs) -> None: print(f"\r{'':<{width}}", end="") # clear the line print(f"\r{s}", end=_same_line_print_end, flush=True, **kwargs) def unique_file_name(exec_name: str) -> str: # Get the base name of the executable filename = os.path.basename(exec_name) # Remove the extension filename = filename.split(".")[0] d = datetime.datetime.now() return "_".join( [ f"{filename}", f"{d.year}{d.month:02d}{d.day:02d}", f"{d.hour:02d}{d.minute:02d}{d.second:02d}", f"{os.getpid()}.json", ] ) def unique_path(directory: str, suffix=".json") -> str | None: """Generate a unique file path in the specified directory.""" try: with tempfile.NamedTemporaryFile(dir=directory, suffix=suffix) as f: return f.name except FileNotFoundError: return None def compare_version(ver1: str, ver2: str) -> int: # assuming ver1, ver2 are both str and in a pattern of # major.minor.micro with only numbers # return 1 if ver1 > ver2 # return 0 if ver1 == ver2 # return -1 if ver1 < ver2 tuple1 = tuple((int(v) for v in ver1.split("."))) tuple2 = tuple((int(v) for v in ver2.split("."))) if tuple1 > tuple2: return 1 elif tuple1 == tuple2: return 0 else: return -1 def time_str_to_us(t_s: str) -> float: # t_s is a string representing a time # Should be [0-9\.]+([mun]?s)? # ex. 300ns 23.5 .2ms # (This is not a perfect match, but enough for us to duck parse) # We need to convert it to us m = re.match(r"([0-9\.]+)([mun]?s)?", t_s) if m: try: val = float(m.group(1)) except ValueError: raise ValueError(f"Can't convert {t_s} to time") unit = m.group(2) if unit == "s": val *= 1e6 elif unit == "ms": val *= 1e3 elif unit == "ns": val *= 1e-3 return val else: raise ValueError(f"Can't convert {t_s} to time") # https://github.com/giampaolo/psutil def pid_exists(pid): """Check whether pid exists in the current process table.""" if pid < 0: return False if pid == 0: # According to "man 2 kill" PID 0 refers to every process # in the process group of the calling process. # On certain systems 0 is a valid PID but we have no way # to know that in a portable fashion. # On Windows, 0 is an idle process buw we don't need to # check it here raise ValueError("invalid PID 0") if sys.platform == "win32": # Windows import ctypes kernel32 = ctypes.windll.kernel32 process = kernel32.OpenProcess(PROCESS_QUERY_LIMITED_INFORMATION, 0, pid) if not process: if kernel32.GetLastError() == ERROR_ACCESS_DENIED: # Access is denied, which means there's a process. # Usually it's impossible to run here in viztracer. return True # pragma: no cover else: return False exit_code = ctypes.c_ulong() out = kernel32.GetExitCodeProcess(process, ctypes.byref(exit_code)) kernel32.CloseHandle(process) # nonzero return value means the funtion succeeds if out: if exit_code.value == STILL_ACTIVE: # According to documents of GetExitCodeProcess. # If a thread returns STILL_ACTIVE (259) as an error code, # then applications that test for that value could interpret # it to mean that the thread is still running, and continue # to test for the completion of the thread after the thread # has terminated, which could put the application into an # infinite loop. return True else: return False else: # pragma: no cover if kernel32.GetLastError() == ERROR_ACCESS_DENIED: # Access is denied, which means there's a process. # Usually it's impossible to run here in viztracer. return True return False # pragma: no cover else: # UNIX try: os.kill(pid, 0) except OSError as err: if err.errno == errno.ESRCH: # ESRCH == No such process return False elif err.errno == errno.EPERM: # EPERM clearly means there's a process to deny access to return True else: # pragma: no cover # According to "man 2 kill" possible error values are # (EINVAL, EPERM, ESRCH) raise else: return True def frame_stack_has_func(frame, funcs): while frame: if any(frame.f_code == func.__code__ for func in funcs): return True frame = frame.f_back return False ================================================ FILE: src/viztracer/vcompressor.pyi ================================================ # Licensed under the Apache License: http://www.apache.org/licenses/LICENSE-2.0 # For details: https://github.com/gaogaotiantian/viztracer/blob/master/NOTICE.txt class VCompressor: def compress(self, raw_data: dict, filename: str) -> dict: ... def decompress(self, filename: str) -> dict: ... ================================================ FILE: src/viztracer/viewer.py ================================================ # Licensed under the Apache License: http://www.apache.org/licenses/LICENSE-2.0 # For details: https://github.com/gaogaotiantian/viztracer/blob/master/NOTICE.txt import argparse import atexit import contextlib import functools import gzip import html import http.server import io import json import os import socket import socketserver import subprocess import sys import threading import time import traceback import urllib.parse from http import HTTPStatus from typing import Any, Callable dir_lock = threading.Lock() @contextlib.contextmanager def chdir_temp(d: str): with dir_lock: curr_cwd = os.getcwd() os.chdir(d) try: yield finally: os.chdir(curr_cwd) class HttpHandler(http.server.SimpleHTTPRequestHandler): def end_headers(self): self.send_header("Access-Control-Allow-Origin", "*") self.send_header("Cache-Control", "no-store") return super().end_headers() def log_message(self, format, *args): # To quiet the http server pass class ExternalProcessorHandler(HttpHandler): def __init__(self, server_thread: "ServerThread", *args, **kwargs) -> None: self.server_thread = server_thread super().__init__(*args, **kwargs) def do_GET(self): self.server.last_request = self.path self.server_thread.notify_active() self.directory = os.path.join(os.path.dirname(__file__), "web_dist") with chdir_temp(self.directory): return super().do_GET() class PerfettoHandler(HttpHandler): def __init__(self, server_thread: "ServerThread", *args, **kwargs) -> None: self.server_thread = server_thread super().__init__(*args, **kwargs) def do_GET(self): self.server.last_request = self.path self.server_thread.notify_active() if self.path.endswith("vizviewer_info"): info = {} self.send_response(200) self.send_header("Content-type", "application/json") self.end_headers() self.wfile.write(json.dumps(info).encode("utf-8")) self.wfile.flush() elif self.path.endswith("file_info"): self.send_response(200) self.send_header("Content-type", "application/json") self.end_headers() self.wfile.write(json.dumps(self.server_thread.file_info).encode("utf-8")) self.wfile.flush() # Since v1.1, file_info is the last request from the frontend self.server.trace_served = True elif self.path.endswith("localtrace"): # self.directory is used after 3.8 # os.getcwd() is used on 3.6 self.directory = os.path.dirname(self.server_thread.path) with chdir_temp(self.directory): filename = os.path.basename(self.server_thread.path) self.path = f"/{filename}" return super().do_GET() else: self.directory = os.path.join(os.path.dirname(__file__), "web_dist") with chdir_temp(self.directory): return super().do_GET() class HtmlHandler(HttpHandler): def __init__(self, server_thread: "ServerThread", *args, **kwargs) -> None: self.server_thread = server_thread super().__init__(*args, **kwargs) def do_GET(self): self.directory = os.path.dirname(self.server_thread.path) with chdir_temp(self.directory): filename = os.path.basename(self.server_thread.path) self.path = f"/{filename}" self.server.trace_served = True return super().do_GET() class DirectoryHandler(HttpHandler): def __init__(self, directory_viewer: "DirectoryViewer", *args, **kwargs) -> None: self.directory_viewer = directory_viewer kwargs["directory"] = directory_viewer.base_path super().__init__(*args, **kwargs) def do_GET(self): if self.path.endswith("json"): # self.path starts with '/', we need to remove it self.send_response(302) self.send_header("Location", self.directory_viewer.get_link(self.path[1:])) self.end_headers() else: with chdir_temp(self.directory): super().do_GET() def send_head(self): # pragma: no cover """ Return list_directory even if there's an index.html in the dir """ path = self.translate_path(self.path) if os.path.isdir(path): parts = urllib.parse.urlsplit(self.path) if not parts.path.endswith("/"): # redirect browser - doing basically what apache does self.send_response(HTTPStatus.MOVED_PERMANENTLY) new_parts = (parts[0], parts[1], parts[2] + "/", parts[3], parts[4]) new_url = urllib.parse.urlunsplit(new_parts) self.send_header("Location", new_url) self.send_header("Content-Length", "0") self.end_headers() return None else: return self.list_directory(path) return super().send_head() def list_directory(self, path): # pragma: no cover """ Almost the same as SimpleHTTPRequestHandler.list_directory, but * Does not display file that does not end with json * Created a new tab when click """ try: list = os.listdir(path) except OSError: self.send_error(HTTPStatus.NOT_FOUND, "No permission to list directory") return None list.sort(key=lambda a: a.lower()) r = [] try: displaypath = urllib.parse.unquote(self.path, errors="surrogatepass") except UnicodeDecodeError: displaypath = urllib.parse.unquote(path) displaypath = html.escape(displaypath, quote=False) enc = sys.getfilesystemencoding() title = f"Directory listing for {displaypath}" r.append( '' ) r.append("\n") r.append( '' % enc ) r.append(f"{title}\n") r.append(f"\n

{title}

") r.append("
\n
    ") for name in list: fullname = os.path.join(path, name) displayname = linkname = name # Append / for directories or @ for symbolic links if os.path.isdir(fullname): displayname = name + "/" linkname = name + "/" elif not name.endswith("json") and not name.endswith("html"): # Do not display files that we can't handle continue if os.path.islink(fullname): displayname = name + "@" # Note: a link to a directory displays with @ and links with / if os.path.isdir(fullname): r.append( '
  • %s
    • ' % ( urllib.parse.quote(linkname, errors="surrogatepass"), html.escape(displayname, quote=False), ) ) else: # Open a new tab r.append( '
  • %s
    • ' % ( urllib.parse.quote(linkname, errors="surrogatepass"), html.escape(displayname, quote=False), ) ) r.append("
\n
\n\n\n") encoded = "\n".join(r).encode(enc, "surrogateescape") f = io.BytesIO() f.write(encoded) f.seek(0) self.send_response(HTTPStatus.OK) self.send_header("Content-type", f"text/html; charset={enc}") self.send_header("Content-Length", str(len(encoded))) self.end_headers() return f class ExternalProcessorProcess: trace_processor_path = os.path.join( os.path.dirname(__file__), "web_dist", "trace_processor" ) def __init__(self, path: str) -> None: self.path = path self._process = subprocess.Popen( [ sys.executable, self.trace_processor_path, self.path, "-D", ], stderr=subprocess.PIPE, ) atexit.register(self.stop) self._wait_start() def _wait_start(self): print("Loading and parsing trace data, this could take a while...") assert self._process.stderr is not None while True: line = self._process.stderr.readline().decode("utf-8") if "This server can be used" in line: break def stop(self): self._process.terminate() try: self._process.wait(timeout=2) except subprocess.TimeoutExpired: # pragma: no cover self._process.kill() atexit.unregister(self.stop) class VizViewerTCPServer(socketserver.TCPServer): def handle_timeout(self) -> None: self.trace_served = True return super().handle_timeout() class ServerThread(threading.Thread): def __init__( self, path: str, port: int = 9001, once: bool = False, use_external_processor: bool = False, timeout: float = 10, quiet: bool = False, ) -> None: self.path = path self.port = port self.once = once self.timeout = timeout self.quiet = quiet self.link = f"http://127.0.0.1:{self.port}" self.use_external_procesor = use_external_processor self.externel_processor_process: ExternalProcessorProcess | None = None self.fg_data: list[dict[str, Any]] | None = None self.file_info = None self.httpd: VizViewerTCPServer | None = None self.last_active = time.time() self.retcode: int | None = None self.ready = threading.Event() self.ready.clear() super().__init__(daemon=True) def run(self) -> None: try: self.retcode = self.view() except Exception: self.retcode = 1 traceback.print_exc() finally: # If it returns from view(), also set ready self.ready.set() def view(self) -> int: # Get file data filename = os.path.basename(self.path) Handler: Callable[..., HttpHandler] if filename.endswith("json") or filename.endswith("gz"): trace_data = None if self.use_external_procesor: Handler = functools.partial(ExternalProcessorHandler, self) self.externel_processor_process = ExternalProcessorProcess(self.path) else: if filename.endswith("gz"): with gzip.open( self.path, "rt", encoding="utf-8", errors="ignore" ) as f: trace_data = json.load(f) else: with open(self.path, encoding="utf-8", errors="ignore") as f: trace_data = json.load(f) self.file_info = trace_data.get("file_info", {}) Handler = functools.partial(PerfettoHandler, self) elif filename.endswith("html"): Handler = functools.partial(HtmlHandler, self) else: print(f"Do not support file type {filename}") return 1 if self.is_port_in_use(): print( f'Error! Port {self.port} is already in use, try another port with "--port"' ) return 1 socketserver.TCPServer.allow_reuse_address = True with VizViewerTCPServer(("0.0.0.0", self.port), Handler) as self.httpd: if not self.once and not self.quiet: print("Running vizviewer") print(f"You can also view your trace on http://localhost:{self.port}") print("Press Ctrl+C to quit", flush=True) self.ready.set() if self.once: self.httpd.timeout = self.timeout while not self.httpd.__dict__.get("trace_served", False): self.httpd.handle_request() else: self.httpd.serve_forever() if self.externel_processor_process is not None: self.externel_processor_process.stop() return 0 def notify_active(self) -> None: self.last_active = time.time() def is_port_in_use(self) -> bool: with contextlib.closing( socket.socket(socket.AF_INET, socket.SOCK_STREAM) ) as sock: return sock.connect_ex(("127.0.0.1", self.port)) == 0 class DirectoryViewer: def __init__( self, path: str, port: int, server_only: bool, timeout: int, use_external_processor: bool, ) -> None: self.base_path = os.path.abspath(path) self.port = port self.server_only = server_only self.timeout = timeout self.use_external_processor = use_external_processor self.max_port_number = 10 self.servers: dict[str, ServerThread] = {} def get_link(self, path: str) -> str: path = os.path.join(self.base_path, path) if path not in self.servers: self.servers[path] = self.create_server(path) server = self.servers[path] return server.link def create_server(self, path: str) -> ServerThread: max_port_number = self.max_port_number ports_used = set((serv.port for serv in self.servers.values())) if len(ports_used) == max_port_number: self.clean_servers(force=True) else: self.clean_servers(force=False) ports_used = set((serv.port for serv in self.servers.values())) for port in range(self.port + 1, self.port + max_port_number + 1): if port not in ports_used: t = ServerThread( path, port=port, use_external_processor=self.use_external_processor, quiet=True, ) t.start() t.ready.wait() return t assert False, "Should always have a port available" # pragma: no cover def clean_servers(self, force: bool = False) -> None: curr_time = time.time() removed_path = [] for path, server in self.servers.items(): if curr_time - server.last_active > self.timeout: if server.httpd is not None: server.httpd.shutdown() removed_path.append(path) server.join() for path in removed_path: self.servers.pop(path) if len(removed_path) == 0 and force: max_idle_time, max_idle_path = max( (curr_time - server.last_active, path) for path, server in self.servers.items() ) server = self.servers.pop(max_idle_path) if server.httpd: server.httpd.shutdown() server.join() def run(self) -> int: Handler = functools.partial(DirectoryHandler, self) socketserver.TCPServer.allow_reuse_address = True with VizViewerTCPServer(("0.0.0.0", self.port), Handler) as httpd: print("Running vizviewer") print(f"You can also view your trace on http://localhost:{self.port}") print("Press Ctrl+C to quit", flush=True) if not self.server_only: # import webbrowser only if necessary import webbrowser webbrowser.open_new_tab(f"http://127.0.0.1:{self.port}") try: httpd.serve_forever() except KeyboardInterrupt: for server in self.servers.values(): if server.httpd: server.httpd.shutdown() server.join() self.servers = {} return 0 def viewer_main() -> int: parser = argparse.ArgumentParser() parser.add_argument("file", nargs=1, help="html/json/gz file to open") parser.add_argument( "--server_only", "-s", default=False, action="store_true", help="Only start the server, do not open webpage", ) parser.add_argument( "--port", "-p", nargs="?", type=int, default=9001, help="Specify the port vizviewer will use", ) parser.add_argument( "--once", default=False, action="store_true", help="Only serve trace data once, then exit.", ) parser.add_argument( "--timeout", nargs="?", type=int, default=10, help="Timeout in seconds to stop the server without trace data requests", ) parser.add_argument( "--flamegraph", default=False, action="store_true", help=argparse.SUPPRESS ) parser.add_argument( "--use_external_processor", default=False, action="store_true", help="Use the more powerful external trace processor instead of WASM", ) options = parser.parse_args(sys.argv[1:]) f = options.file[0] if options.flamegraph: print( "--flamegraph is removed because the front-end supports native flamegraph now." ) print("You can select slices in the UI and do 'Slice Flamegraph'.") return 1 if options.use_external_processor: # Perfetto trace processor only accepts requests from localhost:10000 options.port = 10000 # external trace process won't work with once or directory if options.once: print("You can't use --once with --use_external_processor") return 1 if os.path.isdir(f): print("You can't use --use_external_processor on a directory") return 1 if os.path.isdir(f): cwd = os.getcwd() try: directory_viewer = DirectoryViewer( path=f, port=options.port, server_only=options.server_only, timeout=options.timeout, use_external_processor=options.use_external_processor, ) directory_viewer.run() finally: os.chdir(cwd) elif os.path.exists(f): path = os.path.abspath(options.file[0]) cwd = os.getcwd() try: server = ServerThread( path, port=options.port, once=options.once, timeout=options.timeout, use_external_processor=options.use_external_processor, ) server.start() server.ready.wait() if server.retcode is not None: return server.retcode if not options.server_only: # import webbrowser only if necessary import webbrowser webbrowser.open_new_tab(f"http://127.0.0.1:{options.port}") while server.is_alive(): server.join(timeout=1) except KeyboardInterrupt: if server.httpd is not None: server.httpd.shutdown() server.join(timeout=2) finally: os.chdir(cwd) else: print(f"File {f} does not exist!") return 1 return 0 if __name__ == "__main__": sys.exit(viewer_main()) ================================================ FILE: src/viztracer/vizcounter.py ================================================ # Licensed under the Apache License: http://www.apache.org/licenses/LICENSE-2.0 # For details: https://github.com/gaogaotiantian/viztracer/blob/master/NOTICE.txt from .event_base import _EventBase class VizCounter(_EventBase): def _viztracer_log(self) -> None: if not self._viztracer_tracer: return d = {} for attr in self._viztracer_get_attr_list(): if hasattr(self, attr): val = self.__getattribute__(attr) if not callable(val): if type(val) is int or type(val) is float: d[attr] = val else: raise Exception("Counter can only take numeric values") self._viztracer_tracer.add_counter(self._viztracer_name, d) ================================================ FILE: src/viztracer/vizevent.py ================================================ # Licensed under the Apache License: http://www.apache.org/licenses/LICENSE-2.0 # For details: https://github.com/gaogaotiantian/viztracer/blob/master/NOTICE.txt from typing import TYPE_CHECKING if TYPE_CHECKING: from .viztracer import VizTracer # pragma: no cover class VizEvent: def __init__( self, tracer: "VizTracer", event_name: str, file_name: str, lineno: int ) -> None: self._tracer = tracer self.event_name = event_name self.file_name = file_name self.lineno = lineno self.start = 0.0 def __enter__(self) -> None: self.start = self._tracer.getts() def __exit__(self, type, value, trace) -> None: dur = self._tracer.getts() - self.start raw_data = { "ph": "X", "name": f"{self.event_name} ({self.file_name}:{self.lineno})", "ts": self.start, "dur": dur, "cat": "FEE", } self._tracer.add_raw(raw_data) ================================================ FILE: src/viztracer/vizlogging.py ================================================ # Licensed under the Apache License: http://www.apache.org/licenses/LICENSE-2.0 # For details: https://github.com/gaogaotiantian/viztracer/blob/master/NOTICE.txt from logging import Handler, LogRecord from .viztracer import VizTracer class VizLoggingHandler(Handler): def __init__(self, *args, **kwargs) -> None: super().__init__(*args, **kwargs) self._tracer: VizTracer | None = None def emit(self, record: LogRecord) -> None: if not self._tracer: return self._tracer.add_instant(f"logging - {self.format(record)}", scope="p") def setTracer(self, tracer: VizTracer) -> None: self._tracer = tracer ================================================ FILE: src/viztracer/vizobject.py ================================================ # Licensed under the Apache License: http://www.apache.org/licenses/LICENSE-2.0 # For details: https://github.com/gaogaotiantian/viztracer/blob/master/NOTICE.txt from .event_base import _EventBase from .viztracer import VizTracer class VizObject(_EventBase): def __init__(self, tracer: VizTracer, name: str, **kwargs) -> None: super().__init__(tracer, name, **kwargs) self._viztracer_id = str(id(self)) if self._viztracer_tracer: self._viztracer_tracer.add_object( "N", self._viztracer_id, self._viztracer_name ) def __del__(self) -> None: if self._viztracer_tracer: self._viztracer_tracer.add_object( "D", self._viztracer_id, self._viztracer_name ) def _viztracer_log(self, ph: str = "O") -> None: if not self._viztracer_tracer: return d = {} for attr in self._viztracer_get_attr_list(): if hasattr(self, attr): val = self.__getattribute__(attr) if ( type(val) is list or type(val) is dict or type(val) is int or type(val) is float or type(val) is str ): d[attr] = val self._viztracer_tracer.add_object( ph, self._viztracer_id, self._viztracer_name, {"snapshot": d} ) ================================================ FILE: src/viztracer/vizplugin.py ================================================ # Licensed under the Apache License: http://www.apache.org/licenses/LICENSE-2.0 # For details: https://github.com/gaogaotiantian/viztracer/blob/master/NOTICE.txt import sys import weakref from typing import TYPE_CHECKING, Sequence from . import __version__ from .util import color_print, compare_version if TYPE_CHECKING: from .viztracer import VizTracer # pragma: no cover class VizPluginError(Exception): pass # A third party developer who wants to develop based on VizTracer can do a plugin # Simply inherit VizPluginBase class and finish the methods. Then you can load it # by VizTracer(plugins=[YourVizPlugin()]) class VizPluginBase: def __init__(self) -> None: pass def support_version(self) -> str: # You have to overload this to return the latest version of viztracer # your plugin supports. This is for API backward compatibility. # Simply return the version string # For example: # return "0.10.5" raise NotImplementedError( "Plugin of viztracer has to implement support_version method" ) def message(self, m_type: str, payload: dict) -> dict: """ This is the only logical interface with VizTracer. To make it simple and flexible, we use m_type for message type, and the payload could be any json compatible data. This is more extensible in the future :param m_type str: the message type VizPlugin is receiving :param payload dict: payload of the message :return dict: always return a dict. Return None if nothing needs to be done by VizTracer. Otherwise refer to the docs """ if m_type == "command": if payload["cmd_type"] == "terminate": return {"success": True} return {} class VizPluginManager: def __init__( self, tracer: "VizTracer", plugins: Sequence[VizPluginBase | str] | None ): self._tracer_ref = weakref.ref(tracer) self._plugins = [] if plugins: for plugin in plugins: if isinstance(plugin, VizPluginBase): plugin_instance = plugin elif isinstance(plugin, str): plugin_instance = self._get_plugin_from_string(plugin) else: raise TypeError("Invalid plugin!") self._plugins.append(plugin_instance) support_version = plugin_instance.support_version() if compare_version(support_version, __version__) > 0: color_print( "WARNING", "The plugin support version is higher than " "viztracer version. Consider update your viztracer", ) self._send_message(plugin_instance, "event", {"when": "initialize"}) def _get_plugin_from_string(self, plugin: str) -> VizPluginBase: args = plugin.split() module = args[0] try: package = __import__(module) except ImportError: print(f"There's no module named {module}, maybe you need to install it") sys.exit(1) m = package if "." in module: # package.module names = module.split(".") try: for mod in names[1:]: m = m.__getattribute__(mod) except AttributeError: # pragma: no cover # This in theory should never happen raise ImportError(f"Unable to import {module}, wrong path") try: m = m.__getattribute__("get_vizplugin") except AttributeError: print(f"Unable to find get_vizplugin in {module}. Incorrect plugin.") sys.exit(1) if callable(m): return m(plugin) else: print( f"Unable to find get_vizplugin as a callable in {module}. Incorrect plugin." ) sys.exit(1) def _send_message(self, plugin: VizPluginBase, m_type: str, payload: dict) -> None: # this is the only interface to communicate with vizplugin # in the future we may need to do version compatibility # here support_version = plugin.support_version() ret = plugin.message(m_type, payload) if m_type == "command": self.assert_success(plugin, payload, ret) else: self.resolve(support_version, ret) @property def has_plugin(self) -> bool: return len(self._plugins) > 0 def event(self, when: str) -> None: for plugin in self._plugins: self._send_message(plugin, "event", {"when": when}) def command(self, cmd: dict) -> None: for plugin in self._plugins: self._send_message(plugin, "command", cmd) def terminate(self) -> None: self.command({"cmd_type": "terminate"}) for plugin in self._plugins: del plugin self._plugins = [] def assert_success( self, plugin: VizPluginBase, cmd: dict, ret: dict | None ) -> None: if not ret or "success" not in ret or not ret["success"]: raise VizPluginError(f"{plugin} failed to process {cmd}") def resolve(self, version: str, ret: dict) -> None: if not ret or "action" not in ret: return tracer = self._tracer_ref() if tracer is not None: if ret["action"] == "handle_data": ret["handler"](tracer.data) ================================================ FILE: src/viztracer/viztracer.py ================================================ # Licensed under the Apache License: http://www.apache.org/licenses/LICENSE-2.0 # For details: https://github.com/gaogaotiantian/viztracer/blob/master/NOTICE.txt import builtins import gc import inspect import io import json import multiprocessing import os import platform import signal import socket import subprocess import sys import warnings import zlib from typing import Any, Callable, Literal, Sequence, TextIO from viztracer.snaptrace import Tracer from . import __version__ from .patch import install_all_hooks, uninstall_all_hooks from .report_builder import ReportBuilder from .report_server import ReportServer from .util import frame_stack_has_func, unique_path from .vizevent import VizEvent from .vizplugin import VizPluginBase, VizPluginManager # This is the interface of the package. Almost all user should use this # class for the functions class VizTracer(Tracer): def __init__( self, tracer_entries: int = 1000000, verbose: int = 1, max_stack_depth: int = -1, include_files: list[str] | None = None, exclude_files: list[str] | None = None, ignore_c_function: bool = False, ignore_frozen: bool = False, log_func_retval: bool = False, log_func_args: bool = False, log_func_repr: Callable[..., str] | None = None, log_func_with_objprint: bool = False, log_print: bool = False, log_gc: bool = False, log_sparse: bool = False, log_async: bool = False, log_torch: bool = False, log_audit: Sequence[str] | None = None, ignore_multiprocess: bool = True, pid_suffix: bool = False, file_info: bool = True, register_global: bool = True, report_endpoint: str | None = None, trace_self: bool = False, min_duration: float = 0, minimize_memory: bool = False, dump_raw: bool = False, sanitize_function_name: bool = False, process_name: str | None = None, output_file: str = "result.json", plugins: Sequence[VizPluginBase | str] | None = None, ) -> None: super().__init__(tracer_entries) # Members of C Tracer object self.verbose = verbose self.max_stack_depth = max_stack_depth self.ignore_c_function = ignore_c_function self.ignore_frozen = ignore_frozen self.log_func_args = log_func_args self.log_func_retval = log_func_retval self.log_async = log_async self.log_gc = log_gc self.log_print = log_print self.trace_self = trace_self self.lib_file_path = os.path.dirname(sys._getframe().f_code.co_filename) self.process_name = process_name self.min_duration = min_duration if include_files is None: self.include_files = include_files else: self.include_files = include_files[:] + [ os.path.abspath(f) for f in include_files if not f.startswith("/") ] if exclude_files is None: self.exclude_files = exclude_files else: self.exclude_files = exclude_files[:] + [ os.path.abspath(f) for f in exclude_files if not f.startswith("/") ] # Members of VizTracer object self.pid_suffix = pid_suffix self.file_info = file_info self.log_sparse = log_sparse self.log_audit = log_audit self.log_torch = log_torch self.ignore_multiprocess = ignore_multiprocess self.torch_profile = None self.dump_raw = dump_raw self.sanitize_function_name = sanitize_function_name self.minimize_memory = minimize_memory self.system_print = builtins.print self.output_file = output_file # Members for the collected data self.enable = False self.parsed = False self.tracer_entries = tracer_entries self.data: dict[str, Any] = {} self.total_entries = 0 self.gc_start_args: dict[str, int] = {} self.report_socket_file: io.BufferedRWPair | None = None self.report_server_process: subprocess.Popen | None = None self.report_endpoint = report_endpoint if self.report_endpoint is None: if (endpoint := os.getenv("VIZTRACER_REPORT_SERVER_ENDPOINT")) is not None: self.report_endpoint = endpoint self.report_directory: str | None = None self._exiting = False if register_global: self.register_global() self.cwd = os.getcwd() self.log_func_with_objprint = log_func_with_objprint if log_func_with_objprint: import objprint # type: ignore if log_func_repr: raise ValueError( "log_func_repr and log_func_with_objprint can't be both set" ) log_func_repr = objprint.objstr self.log_func_repr = log_func_repr self._afterfork_cb: Callable | None = None self._afterfork_args: tuple = tuple() self._afterfork_kwargs: dict = {} # load in plugins self.plugins = plugins self._plugin_manager = VizPluginManager(self, plugins) if log_torch: # To generate an import error if torch is not installed import torch # type: ignore # noqa: F401 def __del__(self): if ( report_socket_file := getattr(self, "report_socket_file", None) ) is not None: report_socket_file.close() self.clean_report_server_process() if not self.ignore_multiprocess: uninstall_all_hooks() def get_args(self) -> list[str]: args = [] signature = inspect.signature(VizTracer) for name, param in signature.parameters.items(): if (attr := getattr(self, name)) != param.default: if name == "verbose" and attr == 0: args.append("--quiet") continue if name in ("process_name",): continue if isinstance(attr, bool): if attr: args.append(f"--{name}") elif isinstance(attr, (int, str)): args.append(f"--{name}") args.append(str(attr)) elif ( isinstance(attr, list) and attr and all(isinstance(i, (int, str)) for i in attr) ): args.append(f"--{name}") for item in attr: args.append(str(item)) return args @property def pid_suffix(self) -> bool: return self.__pid_suffix @pid_suffix.setter def pid_suffix(self, pid_suffix: bool) -> None: if type(pid_suffix) is bool: self.__pid_suffix = pid_suffix else: raise ValueError(f"pid_suffix needs to be a boolean, not {pid_suffix}") @property def init_kwargs(self) -> dict: return { "tracer_entries": self.tracer_entries, "verbose": self.verbose, "output_file": self.output_file, "max_stack_depth": self.max_stack_depth, "exclude_files": self.exclude_files, "include_files": self.include_files, "ignore_c_function": self.ignore_c_function, "ignore_frozen": self.ignore_frozen, "log_func_retval": self.log_func_retval, "log_func_args": self.log_func_args, "log_print": self.log_print, "log_gc": self.log_gc, "log_sparse": self.log_sparse, "log_async": self.log_async, "log_audit": self.log_audit, "log_torch": self.log_torch, "pid_suffix": self.pid_suffix, "ignore_multiprocess": self.ignore_multiprocess, "report_endpoint": self.report_endpoint, "min_duration": self.min_duration, "dump_raw": self.dump_raw, "minimize_memory": self.minimize_memory, } def __enter__(self) -> "VizTracer": self.start() return self def __exit__(self, type, value, trace) -> None: self.stop() self.save() self.terminate() builtins.__dict__.pop("__viz_tracer__", None) def connect_report_server(self) -> None: assert self.report_endpoint is not None if self.report_socket_file is not None: try: self.report_socket_file.close() except Exception: # pragma: no cover pass sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM) addr, port = self.report_endpoint.split(":") sock.connect((addr, int(port))) self.report_socket_file = sock.makefile("rwb") sock.close() self.report_directory = self.report_socket_file.readline().decode().strip() def clean_report_server_process(self) -> None: if self.report_server_process is None: return self.report_server_process.terminate() self.report_server_process.wait() if self.report_server_process.stdout is not None: self.report_server_process.stdout.close() self.report_server_process = None self.report_endpoint = None def register_global(self) -> None: builtins.__dict__["__viz_tracer__"] = self def install(self) -> None: if sys.platform == "win32" or ( sys.platform == "darwin" and "arm" in platform.processor() ): print("remote install is not supported on this platform!") sys.exit(1) def signal_start(signum, frame): self.start() def signal_stop(signum, frame): self.stop() self.save() signal.signal(signal.SIGUSR1, signal_start) signal.signal(signal.SIGUSR2, signal_stop) def log_instant( self, name: str, args: Any = None, scope: Literal["g", "p", "t"] = "t", cond: bool = True, ) -> None: if cond: self.add_instant(name, args=args, scope=scope) def log_var(self, name: str, var: Any, cond: bool = True) -> None: if cond: if isinstance(var, (float, int)): self.add_counter(name, {"value": var}) else: import objprint # type: ignore self.add_instant( name, args={"object": objprint.objstr(var, color=False)}, scope="t" ) def log_event(self, event_name: str) -> VizEvent: call_frame = sys._getframe(1) return VizEvent( self, event_name, call_frame.f_code.co_filename, call_frame.f_lineno ) def shield_ignore(self, func: Callable, *args, **kwargs): prev_ignore_stack = self.setignorestackcounter(0) res = func(*args, **kwargs) self.setignorestackcounter(prev_ignore_stack) return res def set_afterfork(self, callback: Callable, *args, **kwargs) -> None: self._afterfork_cb = callback self._afterfork_args = args self._afterfork_kwargs = kwargs def start(self) -> None: if not self.enable: self.parsed = False if self.log_torch: from torch.profiler import profile, supported_activities # type: ignore self.torch_profile = profile( activities=supported_activities() ).__enter__() if self.log_print: self.overload_print() if self.include_files is not None and self.exclude_files is not None: raise Exception( "include_files and exclude_files can't be both specified!" ) if not self.ignore_multiprocess or self.report_endpoint is not None: # Multiprocess mode, we need report endpoint and report server if self.report_endpoint is None: self.report_server_process, self.report_endpoint = ( ReportServer.start_process( output_file=self.output_file, minimize_memory=self.minimize_memory, verbose=self.verbose, report_endpoint="|append_newline", ) ) if self.report_socket_file is None: self.connect_report_server() if not self.ignore_multiprocess: install_all_hooks(self) self._plugin_manager.event("pre-start") if not self.log_sparse: self.enable = True super().start() def stop(self, stop_option: str | None = None) -> None: if self.enable: if self.log_print: self.restore_print() if not self.log_sparse: self.enable = False super().stop(stop_option) if self.torch_profile is not None: self.torch_profile.__exit__(None, None, None) self._plugin_manager.event("post-stop") if not self.ignore_multiprocess: uninstall_all_hooks() def parse(self) -> int: # parse() is also performance sensitive. We could have a lot of entries # in buffer, so try not to add any overhead when parsing # We parse the buffer into Chrome Trace Event Format self.stop() if not self.parsed: self.data = { "traceEvents": self.load(), "viztracer_metadata": { "version": __version__, "overflow": False, }, } sync_marker = self.get_sync_marker() if sync_marker is not None: self.data["viztracer_metadata"]["sync_marker"] = sync_marker metadata_count = 0 for d in self.data["traceEvents"]: if d["ph"] == "M": metadata_count += 1 else: break self.total_entries = len(self.data["traceEvents"]) - metadata_count if self.total_entries == self.tracer_entries: self.data["viztracer_metadata"]["overflow"] = True self.parsed = True return self.total_entries def run(self, command: str, output_file: str | None = None) -> None: self.start() exec(command) self.stop() self.save(output_file) def save_report( self, output_file: str | TextIO, file_info: bool | None = None, verbose: int | None = None, ) -> None: if file_info is None: file_info = self.file_info if verbose is None: verbose = self.verbose if isinstance(output_file, str): output_file = os.path.abspath(output_file) if not os.path.isdir(os.path.dirname(output_file)): os.makedirs(os.path.dirname(output_file), exist_ok=True) # If there are plugins, we can't do dump raw because it will skip the data # manipulation phase # If we want to dump torch profile, we can't do dump raw either if ( not self._plugin_manager.has_plugin and not self.log_torch and self.dump_raw and isinstance(output_file, str) ): self.dump(output_file, sanitize_function_name=self.sanitize_function_name) else: if not self.parsed: self.parse() self._plugin_manager.event("pre-save") if self.log_torch and self.torch_profile is not None: import tempfile with tempfile.NamedTemporaryFile(suffix=".json") as tmpfile: self.torch_profile.export_chrome_trace(tmpfile.name) rb = ReportBuilder( [ ( tmpfile.name, {"type": "torch", "base_offset": self.get_base_time()}, ), self.data, ], 0, minimize_memory=self.minimize_memory, base_time=self.get_base_time(), ) rb.save(output_file=output_file, file_info=file_info) else: rb = ReportBuilder( self.data, 0, minimize_memory=self.minimize_memory, base_time=self.get_base_time(), ) rb.save(output_file=output_file, file_info=file_info) def save( self, output_file: str | None = None, file_info: bool | None = None, verbose: int | None = None, ) -> None: if output_file is not None and not isinstance(output_file, str): raise ValueError("output_file should be a string or None") if self.ignore_multiprocess and self.report_endpoint is None: # Single process mode, just save the report normally self.save_report( output_file=output_file or self.output_file, file_info=file_info, verbose=verbose, ) return if self.report_endpoint is None or self.report_socket_file is None: warnings.warn( "Tried to save report without starting VizTracer. No data will be saved.", RuntimeWarning, 2, ) return enabled = False if self.enable: enabled = True self.stop() assert self.report_directory is not None tmp_output_file = unique_path(self.report_directory) if tmp_output_file is None: warnings.warn( "Report server has ended before saving report. No data will be saved.", RuntimeWarning, 2, ) return payload = io.StringIO() self.save_report(output_file=payload, file_info=file_info, verbose=verbose) if output_file is None: output_file = self.output_file if self.pid_suffix: output_file_parts = output_file.split(".") output_file_parts[-2] = output_file_parts[-2] + "_" + str(os.getpid()) output_file = ".".join(output_file_parts) try: data = {"path": tmp_output_file, "payload": payload.getvalue()} if self.report_server_process is not None: data["output_file"] = output_file self.report_socket_file.write( zlib.compress(json.dumps(data).encode("utf-8")) ) self.report_socket_file.flush() self.report_socket_file.close() except Exception as exc: warnings.warn( f"Failed to send report to report server: {exc}.", RuntimeWarning, 2, ) finally: self.report_socket_file = None if self.report_server_process is not None: try: if self.report_server_process.stdout is not None: while line := self.report_server_process.stdout.readline(): if line.startswith(b"\r"): line = line.strip(b"\n") print(line.decode(), end="") self.report_server_process.wait() if self.report_server_process.returncode != 0: raise RuntimeError( "Report server process exited with non-zero exit code" ) except KeyboardInterrupt: self.report_server_process.send_signal(signal.SIGINT) try: self.report_server_process.wait() except KeyboardInterrupt: # pragma: no cover self.report_server_process.kill() self.report_server_process.wait() self.clean_report_server_process() if enabled: self.start() def fork_save(self, output_file: str | None = None) -> multiprocessing.Process: if multiprocessing.get_start_method() != "fork": raise RuntimeError("fork_save is only supported in fork start method") # Fix the current pid so it won't give new pid when parsing self.setpid() p = multiprocessing.Process( target=self.save_report, daemon=False, kwargs={"output_file": output_file} ) p.start() # Revert to the normal pid mode self.setpid(0) return p def terminate(self) -> None: self._plugin_manager.terminate() def register_exit(self) -> None: self.cwd = os.getcwd() def term_handler(sig, frame): # For multiprocessing.pool, it's possible we receive SIGTERM # in util._exit_function(), but before tracer.exit_routine() # executes. In this case, we can just let the exit finish if not frame_stack_has_func( frame, (self.exit_routine, multiprocessing.util._exit_function) ): sys.exit(0) signal.signal(signal.SIGTERM, term_handler) from multiprocessing.util import Finalize # type: ignore Finalize(self, self.exit_routine, exitpriority=-1) def exit_routine(self) -> None: self.stop(stop_option="flush_as_finish") if not self._exiting: self._exiting = True os.chdir(self.cwd) self.save() self.terminate() def enable_thread_tracing(self) -> None: if sys.version_info < (3, 12): sys.setprofile(self.threadtracefunc) def add_variable(self, name: str, var: Any, event: str = "instant") -> None: if self.enable: if event == "instant": self.add_instant(f"{name} = {repr(var)}", scope="p") elif event == "counter": if isinstance(var, (int, float)): self.add_counter(name, {name: var}) else: raise ValueError(f"{name}({var}) is not a number") else: raise ValueError(f"{event} is not supported") def overload_print(self) -> None: self.system_print = builtins.print def new_print(*args, **kwargs): self.pause() file = io.StringIO() kwargs["file"] = file self.system_print(*args, **kwargs) self.add_instant(f"print - {file.getvalue()}") self.resume() builtins.print = new_print def restore_print(self) -> None: builtins.print = self.system_print def add_func_exec(self, name: str, val: Any, lineno: int) -> None: exec_line = f"({lineno}) {name} = {val}" curr_args = self.get_func_args() if not curr_args: self.add_func_args("exec_steps", [exec_line]) else: if "exec_steps" in curr_args: curr_args["exec_steps"].append(exec_line) else: curr_args["exec_steps"] = [exec_line] @property def log_gc(self) -> bool: return self.__log_gc @log_gc.setter def log_gc(self, log_gc: bool) -> None: if isinstance(log_gc, bool): self.__log_gc = log_gc if log_gc: gc.callbacks.append(self.add_garbage_collection) elif self.add_garbage_collection in gc.callbacks: gc.callbacks.remove(self.add_garbage_collection) else: raise TypeError(f"log_gc needs to be True or False, not {log_gc}") def add_garbage_collection(self, phase: str, info: dict[str, Any]) -> None: if self.enable: if phase == "start": args = { "collecting": 1, "collected": 0, "uncollectable": 0, } self.add_counter("garbage collection", args) self.gc_start_args = args if phase == "stop" and self.gc_start_args: self.gc_start_args["collected"] = info["collected"] self.gc_start_args["uncollectable"] = info["uncollectable"] self.gc_start_args = {} self.add_counter( "garbage collection", { "collecting": 0, "collected": 0, "uncollectable": 0, }, ) def get_tracer() -> VizTracer | None: return builtins.__dict__.get("__viz_tracer__", None) ================================================ FILE: src/viztracer/web_dist/LICENSE ================================================ Apache License Version 2.0, January 2004 http://www.apache.org/licenses/ TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION 1. 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Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. ================================================ FILE: src/viztracer/web_dist/index.html ================================================ Perfetto UI 
Perfetto UI - An unrecoverable problem occurred

If you are seeing this message, something went wrong while loading the UI.
In most cases this is due to very slow or flaky network and it goes away by
disabling and re-enabling WiFi or trying reloading.

If the problem persists try these remediation steps:

* Force-reload the page with Ctrl+Shift+R (Mac: Meta+Shift+R) or
  Shift + click on the refresh button.

* Clear all the site storage and caches and reload the page.

* Clear the site data and caches from devtools, following these instructions.

If none of this works, file a bug attaching logs and screenshots from devtools.
  Googlers:      go/perfetto-ui-bug
  Non-googlers:  github.com/google/perfetto/issues/new



Technical Information:
================================================ FILE: src/viztracer/web_dist/service_worker.js ================================================ var service_worker = (function () { 'use strict'; var service_worker = {}; // Copyright (C) 2020 The Android Open Source Project // // Licensed under the Apache License, Version 2.0 (the "License"); // you may not use this file except in compliance with the License. // You may obtain a copy of the License at // // http://www.apache.org/licenses/LICENSE-2.0 // // Unless required by applicable law or agreed to in writing, software // distributed under the License is distributed on an "AS IS" BASIS, // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. // See the License for the specific language governing permissions and // limitations under the License. Object.defineProperty(service_worker, "__esModule", { value: true }); const LOG_TAG = `ServiceWorker: `; const CACHE_NAME = 'ui-perfetto-dev'; const OPEN_TRACE_PREFIX = '/_open_trace'; // If the fetch() for the / doesn't respond within 3s, return a cached version. // This is to avoid that a user waits too much if on a flaky network. const INDEX_TIMEOUT_MS = 3000; // Use more relaxed timeouts when caching the subresources for the new version // in the background. const INSTALL_TIMEOUT_MS = 30000; // Files passed to POST /_open_trace/NNNN. let postedFiles = new Map(); // The install() event is fired: // 1. On the first visit, when there is no SW installed. // 2. Every time the user opens the site and the version has been updated (they // will get the newer version regardless, unless we hit INDEX_TIMEOUT_MS). // The latter happens because: // - / (index.html) is always served from the network (% timeout) and it pulls // /v1.2-sha/frontend_bundle.js. // - /v1.2-sha/frontend_bundle.js will register /service_worker.js?v=v1.2-sha. // The service_worker.js script itself never changes, but the browser // re-installs it because the version in the V? query-string argument changes. // The reinstallation will cache the new files from the v.1.2-sha/manifest.json. self.addEventListener('install', (event) => { const doInstall = async () => { // If we can not access the cache we must give up on the service // worker: let bypass = true; try { bypass = await caches.has('BYPASS_SERVICE_WORKER'); } catch (_) { // TODO(288483453) } if (bypass) { // Throw will prevent the installation. throw new Error(LOG_TAG + 'skipping installation, bypass enabled'); } // Delete old cache entries from the pre-feb-2021 service worker. try { for (const key of await caches.keys()) { if (key.startsWith('dist-')) { await caches.delete(key); } } } catch (_) { // TODO(288483453) // It's desirable to delete the old entries but it's not actually // damaging to keep them around so don't give up on the // installation if this fails. } // The UI should register this as service_worker.js?v=v1.2-sha. Extract the // version number and pre-fetch all the contents for the version. const match = /\bv=([\w.-]*)/.exec(location.search); if (!match) { throw new Error('Failed to install. Was epecting a query string like ' + `?v=v1.2-sha query string, got "${location.search}" instead`); } await installAppVersionIntoCache(match[1]); // skipWaiting() still waits for the install to be complete. Without this // call, the new version would be activated only when all tabs are closed. // Instead, we ask to activate it immediately. This is safe because the // subresources are versioned (e.g. /v1.2-sha/frontend_bundle.js). Even if // there is an old UI tab opened while we activate() a newer version, the // activate() would just cause cache-misses, hence fetch from the network, // for the old tab. self.skipWaiting(); }; event.waitUntil(doInstall()); }); self.addEventListener('activate', (event) => { console.info(LOG_TAG + 'activated'); const doActivate = async () => { // This makes a difference only for the very first load, when no service // worker is present. In all the other cases the skipWaiting() will hot-swap // the active service worker anyways. await self.clients.claim(); }; event.waitUntil(doActivate()); }); self.addEventListener('fetch', (event) => { // The early return here will cause the browser to fall back on standard // network-based fetch. if (!shouldHandleHttpRequest(event.request)) { console.debug(LOG_TAG + `serving ${event.request.url} from network`); return; } event.respondWith(handleHttpRequest(event.request)); }); function shouldHandleHttpRequest(req) { // Suppress warning: 'only-if-cached' can be set only with 'same-origin' mode. // This seems to be a chromium bug. An internal code search suggests this is a // socially acceptable workaround. if (req.cache === 'only-if-cached' && req.mode !== 'same-origin') { return false; } const url = new URL(req.url); if (url.pathname === '/live_reload') return false; if (url.pathname.startsWith(OPEN_TRACE_PREFIX)) return true; return req.method === 'GET' && url.origin === self.location.origin; } async function handleHttpRequest(req) { if (!shouldHandleHttpRequest(req)) { throw new Error(LOG_TAG + `${req.url} shouldn't have been handled`); } // We serve from the cache even if req.cache == 'no-cache'. It's a bit // contra-intuitive but it's the most consistent option. If the user hits the // reload button*, the browser requests the "/" index with a 'no-cache' fetch. // However all the other resources (css, js, ...) are requested with a // 'default' fetch (this is just how Chrome works, it's not us). If we bypass // the service worker cache when we get a 'no-cache' request, we can end up in // an inconsistent state where the index.html is more recent than the other // resources, which is undesirable. // * Only Ctrl+R. Ctrl+Shift+R will always bypass service-worker for all the // requests (index.html and the rest) made in that tab. const cacheOps = { cacheName: CACHE_NAME }; const url = new URL(req.url); if (url.pathname === '/') { try { console.debug(LOG_TAG + `Fetching live ${req.url}`); // The await bleow is needed to fall through in case of an exception. return await fetchWithTimeout(req, INDEX_TIMEOUT_MS); } catch (err) { console.warn(LOG_TAG + `Failed to fetch ${req.url}, using cache.`, err); // Fall through the code below. } } else if (url.pathname === '/offline') { // Escape hatch to force serving the offline version without attempting the // network fetch. const cachedRes = await caches.match(new Request('/'), cacheOps); if (cachedRes) return cachedRes; } else if (url.pathname.startsWith(OPEN_TRACE_PREFIX)) { return await handleOpenTraceRequest(req); } const cachedRes = await caches.match(req, cacheOps); if (cachedRes) { console.debug(LOG_TAG + `serving ${req.url} from cache`); return cachedRes; } // In any other case, just propagate the fetch on the network, which is the // safe behavior. console.warn(LOG_TAG + `cache miss on ${req.url}, using live network`); return fetch(req); } // Handles GET and POST requests to /_open_trace/NNNN, where NNNN is typically a // random token generated by the client. // This works as follows: // - The client does a POST request to /_open_trace/NNNN passing the trace blob // as multipart-data, alongside other options like hideSidebar & co that we // support in the usual querystring (see router.ts) // - The SW takes the file and puts it in the global variable `postedFiles`. // - The SW responds to the POST request with a redirect to // ui.perfetto.dev/#!/?url=https://ui.perfetto.dev/_open_trace/NNNN&other_args // - When the new ui.perfetto.dev is reloaded, it will naturally try to fetch // the trace from /_open_trace/NNNN, this time via a GET request. // - The SW intercepts the GET request and returns the file previosly stored in // `postedFiles`. // We use postedFiles here to handle the case of progammatically POST-ing to >1 // instances of ui.perfetto.dev simultaneously, to avoid races. // Note that we should not use a global variable for `postedFiles` but we should // use the CacheAPI because, technically speaking, the SW could be disposed // and respawned in between the POST and the GET request. In practice, however, // SWs are disposed only after 30s seconds of idleness. The POST->GET requests // happen back-to-back.. async function handleOpenTraceRequest(req) { const url = new URL(req.url); console.assert(url.pathname.startsWith(OPEN_TRACE_PREFIX)); const fileKey = url.pathname.substring(OPEN_TRACE_PREFIX.length); if (req.method === 'POST') { const formData = await req.formData(); const qsParams = new URLSearchParams(); // Iterate over the POST fields and copy them over the querystring in // the hash, with the exception of the trace file. The trace file is // kept in the serviceworker and passed as a url= argument. formData.forEach((value, key) => { if (key === 'trace') { if (value instanceof File) { postedFiles.set(fileKey, value); qsParams.set('url', req.url); } return; } qsParams.set(key, `${value}`); }); // formData.forEach() return Response.redirect(`${url.protocol}//${url.host}/#!/?${qsParams}`); } // else... method == 'GET' const file = postedFiles.get(fileKey); if (file !== undefined) { postedFiles.delete(fileKey); return new Response(file); } // The file /_open_trace/NNNN does not exist. return Response.error(); } async function installAppVersionIntoCache(version) { const manifestUrl = `${version}/manifest.json`; try { console.log(LOG_TAG + `Starting installation of ${manifestUrl}`); await caches.delete(CACHE_NAME); const resp = await fetchWithTimeout(manifestUrl, INSTALL_TIMEOUT_MS); const manifest = await resp.json(); const manifestResources = manifest['resources']; if (!manifestResources || !(manifestResources instanceof Object)) { throw new Error(`Invalid manifest ${manifestUrl} : ${manifest}`); } const cache = await caches.open(CACHE_NAME); const urlsToCache = []; // We use cache:reload to make sure that the index is always current and we // don't end up in some cycle where we keep re-caching the index coming from // the service worker itself. urlsToCache.push(new Request('/', { cache: 'reload', mode: 'same-origin' })); for (const [resource, integrity] of Object.entries(manifestResources)) { // We use cache: no-cache rather then reload here because the versioned // sub-resources are expected to be immutable and should never be // ambiguous. A revalidation request is enough. const reqOpts = { cache: 'no-cache', mode: 'same-origin', integrity: `${integrity}`, }; urlsToCache.push(new Request(`${version}/${resource}`, reqOpts)); } await cache.addAll(urlsToCache); console.log(LOG_TAG + 'installation completed for ' + version); } catch (err) { console.error(LOG_TAG + `Installation failed for ${manifestUrl}`, err); await caches.delete(CACHE_NAME); throw err; } } function fetchWithTimeout(req, timeoutMs) { const url = req.url || `${req}`; return new Promise((resolve, reject) => { const timerId = setTimeout(() => { reject(new Error(`Timed out while fetching ${url}`)); }, timeoutMs); fetch(req).then((resp) => { clearTimeout(timerId); if (resp.ok) { resolve(resp); } else { reject(new Error(`Fetch failed for ${url}: ${resp.status} ${resp.statusText}`)); } }, reject); }); } return service_worker; })(); //# sourceMappingURL=service_worker.js.map ================================================ FILE: src/viztracer/web_dist/trace_processor ================================================ #!/usr/bin/env python3 # Copyright (C) 2021 The Android Open Source Project # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! # DO NOT EDIT. Auto-generated by tools/gen_amalgamated_python_tools # !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! # This file should do the same thing when being invoked in any of these ways: # ./trace_processor # python trace_processor # bash trace_processor # cat ./trace_processor | bash # cat ./trace_processor | python - BASH_FALLBACK=""" " exec python3 - "$@" <<'#'EOF #""" # yapf: disable # ----- Amalgamator: begin of python/perfetto/prebuilts/manifests/trace_processor_shell.py # This file has been generated by: tools/roll-prebuilts v52.0 TRACE_PROCESSOR_SHELL_MANIFEST = [{ 'arch': 'mac-amd64', 'file_name': 'trace_processor_shell', 'file_size': 11378016, 'url': 'https://commondatastorage.googleapis.com/perfetto-luci-artifacts/v52.0/mac-amd64/trace_processor_shell', 'sha256': '0ce16fc3e2add79cd66c6596a04ec61eb3b2b8d5507496c5d325f57cb89dc5e8', 'platform': 'darwin', 'machine': ['x86_64'] }, { 'arch': 'mac-arm64', 'file_name': 'trace_processor_shell', 'file_size': 10561528, 'url': 'https://commondatastorage.googleapis.com/perfetto-luci-artifacts/v52.0/mac-arm64/trace_processor_shell', 'sha256': '5d7d89fb2472c2ef40413141d5e8f3603d4a500a645d35aa57cb023b9d635b31', 'platform': 'darwin', 'machine': ['arm64'] }, { 'arch': 'linux-amd64', 'file_name': 'trace_processor_shell', 'file_size': 11599408, 'url': 'https://commondatastorage.googleapis.com/perfetto-luci-artifacts/v52.0/linux-amd64/trace_processor_shell', 'sha256': '411402424f34f2ac1fafa819493c13827ae5a10e335d9387a483c4b696b7f6e1', 'platform': 'linux', 'machine': ['x86_64'] }, { 'arch': 'linux-arm', 'file_name': 'trace_processor_shell', 'file_size': 8656808, 'url': 'https://commondatastorage.googleapis.com/perfetto-luci-artifacts/v52.0/linux-arm/trace_processor_shell', 'sha256': 'e45b30a268e2a68f528cb181414383a02317b0e9ab530edb72041faf9fa60468', 'platform': 'linux', 'machine': ['armv6l', 'armv7l', 'armv8l'] }, { 'arch': 'linux-arm64', 'file_name': 'trace_processor_shell', 'file_size': 11055208, 'url': 'https://commondatastorage.googleapis.com/perfetto-luci-artifacts/v52.0/linux-arm64/trace_processor_shell', 'sha256': 'e52888ab9b7d4f3d2620a6f803402e60a11230536d048d0ece4f33b78dd7c368', 'platform': 'linux', 'machine': ['aarch64'] }, { 'arch': 'android-arm', 'file_name': 'trace_processor_shell', 'file_size': 8691452, 'url': 'https://commondatastorage.googleapis.com/perfetto-luci-artifacts/v52.0/android-arm/trace_processor_shell', 'sha256': '2d5881d738d086296dcb5a82a56eb94860ba1b6b41f11f0e48aeff26b63be406' }, { 'arch': 'android-arm64', 'file_name': 'trace_processor_shell', 'file_size': 10966008, 'url': 'https://commondatastorage.googleapis.com/perfetto-luci-artifacts/v52.0/android-arm64/trace_processor_shell', 'sha256': '6c76a80e4dbf5f6b58905da995111b659c573bd3a100f683c046dd7854a2179a' }, { 'arch': 'android-x86', 'file_name': 'trace_processor_shell', 'file_size': 12232376, 'url': 'https://commondatastorage.googleapis.com/perfetto-luci-artifacts/v52.0/android-x86/trace_processor_shell', 'sha256': '135e557cedcec6cd580aafc1a74cac974da0811f56fd724d61e60b575f772193' }, { 'arch': 'android-x64', 'file_name': 'trace_processor_shell', 'file_size': 11432000, 'url': 'https://commondatastorage.googleapis.com/perfetto-luci-artifacts/v52.0/android-x64/trace_processor_shell', 'sha256': '634ecc32a0055c805ac62aab77bdf040daed3f5f148064f3e252912705eb3f6d' }, { 'arch': 'windows-amd64', 'file_name': 'trace_processor_shell.exe', 'file_size': 11401216, 'url': 'https://commondatastorage.googleapis.com/perfetto-luci-artifacts/v52.0/windows-amd64/trace_processor_shell.exe', 'sha256': 'e46f58f5158b48508389e096aa3d5cf7b510b9767a89f949e423abe8c09ca380', 'platform': 'win32', 'machine': ['amd64'] }] # ----- Amalgamator: end of python/perfetto/prebuilts/manifests/trace_processor_shell.py # ----- Amalgamator: begin of python/perfetto/prebuilts/perfetto_prebuilts.py # Copyright (C) 2021 The Android Open Source Project # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. """ Functions to fetch pre-pinned Perfetto prebuilts. This function is used in different places: - Into the //tools/{trace_processor, traceconv} scripts, which are just plain wrappers around executables. - Into the //tools/{heap_profiler, record_android_trace} scripts, which contain some other hand-written python code. The manifest argument looks as follows: TRACECONV_MANIFEST = [ { 'arch': 'mac-amd64', 'file_name': 'traceconv', 'file_size': 7087080, 'url': https://commondatastorage.googleapis.com/.../trace_to_text', 'sha256': 7d957c005b0dc130f5bd855d6cec27e060d38841b320d04840afc569f9087490', 'platform': 'darwin', 'machine': 'x86_64' }, ... ] The intended usage is: from perfetto.prebuilts.manifests.traceconv import TRACECONV_MANIFEST bin_path = get_perfetto_prebuilt(TRACECONV_MANIFEST) subprocess.call(bin_path, ...) """ import hashlib import os import platform import random import subprocess import sys def download_or_get_cached(file_name, url, sha256): """ Downloads a prebuilt or returns a cached version The first time this is invoked, it downloads the |url| and caches it into ~/.local/share/perfetto/prebuilts/$tool_name. On subsequent invocations it just runs the cached version. """ dir = os.path.join( os.path.expanduser('~'), '.local', 'share', 'perfetto', 'prebuilts') os.makedirs(dir, exist_ok=True) bin_path = os.path.join(dir, file_name) sha256_path = os.path.join(dir, file_name + '.sha256') needs_download = True # Avoid recomputing the SHA-256 on each invocation. The SHA-256 of the last # download is cached into file_name.sha256, just check if that matches. if os.path.exists(bin_path) and os.path.exists(sha256_path): with open(sha256_path, 'rb') as f: digest = f.read().decode() if digest == sha256: needs_download = False if needs_download: # The file doesn't exist or the SHA256 doesn't match. # Use a unique random file to guard against concurrent executions. # See https://github.com/google/perfetto/issues/786 . tmp_path = '%s.%d.tmp' % (bin_path, random.randint(0, 100000)) print('Downloading ' + url) subprocess.check_call(['curl', '-f', '-L', '-#', '-o', tmp_path, url]) with open(tmp_path, 'rb') as fd: actual_sha256 = hashlib.sha256(fd.read()).hexdigest() if actual_sha256 != sha256: raise Exception('Checksum mismatch for %s (actual: %s, expected: %s)' % (url, actual_sha256, sha256)) os.chmod(tmp_path, 0o755) os.replace(tmp_path, bin_path) with open(tmp_path, 'w') as f: f.write(sha256) os.replace(tmp_path, sha256_path) return bin_path def get_perfetto_prebuilt(manifest, soft_fail=False, arch=None): """ Downloads the prebuilt, if necessary, and returns its path on disk. """ plat = sys.platform.lower() machine = platform.machine().lower() manifest_entry = None for entry in manifest: # If the caller overrides the arch, just match that (for Android prebuilts). if arch: if entry.get('arch') == arch: manifest_entry = entry break continue # Otherwise guess the local machine arch. if entry.get('platform') == plat and machine in entry.get('machine', []): manifest_entry = entry break if manifest_entry is None: if soft_fail: return None raise Exception( ('No prebuilts available for %s-%s\n' % (plat, machine)) + 'See https://perfetto.dev/docs/contributing/build-instructions') return download_or_get_cached( file_name=manifest_entry['file_name'], url=manifest_entry['url'], sha256=manifest_entry['sha256']) def run_perfetto_prebuilt(manifest): bin_path = get_perfetto_prebuilt(manifest) if sys.platform.lower() == 'win32': sys.exit(subprocess.check_call([bin_path, *sys.argv[1:]])) os.execv(bin_path, [bin_path] + sys.argv[1:]) # ----- Amalgamator: end of python/perfetto/prebuilts/perfetto_prebuilts.py if __name__ == '__main__': run_perfetto_prebuilt(TRACE_PROCESSOR_SHELL_MANIFEST) #EOF ================================================ FILE: src/viztracer/web_dist/v52.0-6b9586def/assets/catapult_trace_viewer.html ================================================ chrome://tracing ================================================ FILE: src/viztracer/web_dist/v52.0-6b9586def/assets/catapult_trace_viewer.js ================================================ // Copyright 2015 The Chromium Authors. 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enqueueMutation=scope.enqueueMutation;var mixin=scope.mixin;var registerWrapper=scope.registerWrapper;var unsafeUnwrap=scope.unsafeUnwrap;var OriginalCharacterData=window.CharacterData;function CharacterData(node){Node.call(this,node);} CharacterData.prototype=Object.create(Node.prototype);mixin(CharacterData.prototype,{get nodeValue(){return this.data;},set nodeValue(data){this.data=data;},get textContent(){return this.data;},set textContent(value){this.data=value;},get data(){return unsafeUnwrap(this).data;},set data(value){var oldValue=unsafeUnwrap(this).data;enqueueMutation(this,"characterData",{oldValue:oldValue});unsafeUnwrap(this).data=value;}});mixin(CharacterData.prototype,ChildNodeInterface);registerWrapper(OriginalCharacterData,CharacterData,document.createTextNode(""));scope.wrappers.CharacterData=CharacterData;})(window.ShadowDOMPolyfill);(function(scope){"use strict";var CharacterData=scope.wrappers.CharacterData;var enqueueMutation=scope.enqueueMutation;var mixin=scope.mixin;var registerWrapper=scope.registerWrapper;function toUInt32(x){return x>>>0;} var OriginalText=window.Text;function Text(node){CharacterData.call(this,node);} Text.prototype=Object.create(CharacterData.prototype);mixin(Text.prototype,{splitText:function(offset){offset=toUInt32(offset);var s=this.data;if(offset>s.length)throw new Error("IndexSizeError");var head=s.slice(0,offset);var tail=s.slice(offset);this.data=head;var newTextNode=this.ownerDocument.createTextNode(tail);if(this.parentNode)this.parentNode.insertBefore(newTextNode,this.nextSibling);return newTextNode;}});registerWrapper(OriginalText,Text,document.createTextNode(""));scope.wrappers.Text=Text;})(window.ShadowDOMPolyfill);(function(scope){"use strict";if(!window.DOMTokenList){console.warn("Missing DOMTokenList prototype, please include a "+"compatible classList polyfill such as http://goo.gl/uTcepH.");return;} var unsafeUnwrap=scope.unsafeUnwrap;var enqueueMutation=scope.enqueueMutation;function getClass(el){return unsafeUnwrap(el).getAttribute("class");} function enqueueClassAttributeChange(el,oldValue){enqueueMutation(el,"attributes",{name:"class",namespace:null,oldValue:oldValue});} function invalidateClass(el){scope.invalidateRendererBasedOnAttribute(el,"class");} function changeClass(tokenList,method,args){var ownerElement=tokenList.ownerElement_;if(ownerElement==null){return method.apply(tokenList,args);} var oldValue=getClass(ownerElement);var retv=method.apply(tokenList,args);if(getClass(ownerElement)!==oldValue){enqueueClassAttributeChange(ownerElement,oldValue);invalidateClass(ownerElement);} return retv;} var oldAdd=DOMTokenList.prototype.add;DOMTokenList.prototype.add=function(){changeClass(this,oldAdd,arguments);};var oldRemove=DOMTokenList.prototype.remove;DOMTokenList.prototype.remove=function(){changeClass(this,oldRemove,arguments);};var oldToggle=DOMTokenList.prototype.toggle;DOMTokenList.prototype.toggle=function(){return changeClass(this,oldToggle,arguments);};})(window.ShadowDOMPolyfill);(function(scope){"use strict";var ChildNodeInterface=scope.ChildNodeInterface;var GetElementsByInterface=scope.GetElementsByInterface;var Node=scope.wrappers.Node;var ParentNodeInterface=scope.ParentNodeInterface;var SelectorsInterface=scope.SelectorsInterface;var MatchesInterface=scope.MatchesInterface;var addWrapNodeListMethod=scope.addWrapNodeListMethod;var enqueueMutation=scope.enqueueMutation;var mixin=scope.mixin;var oneOf=scope.oneOf;var registerWrapper=scope.registerWrapper;var unsafeUnwrap=scope.unsafeUnwrap;var wrappers=scope.wrappers;var OriginalElement=window.Element;var matchesNames=["matches","mozMatchesSelector","msMatchesSelector","webkitMatchesSelector"].filter(function(name){return OriginalElement.prototype[name];});var matchesName=matchesNames[0];var originalMatches=OriginalElement.prototype[matchesName];function invalidateRendererBasedOnAttribute(element,name){var p=element.parentNode;if(!p||!p.shadowRoot)return;var renderer=scope.getRendererForHost(p);if(renderer.dependsOnAttribute(name))renderer.invalidate();} function enqueAttributeChange(element,name,oldValue){enqueueMutation(element,"attributes",{name:name,namespace:null,oldValue:oldValue});} var classListTable=new WeakMap();function Element(node){Node.call(this,node);} Element.prototype=Object.create(Node.prototype);mixin(Element.prototype,{createShadowRoot:function(){var newShadowRoot=new wrappers.ShadowRoot(this);unsafeUnwrap(this).polymerShadowRoot_=newShadowRoot;var renderer=scope.getRendererForHost(this);renderer.invalidate();return newShadowRoot;},get shadowRoot(){return unsafeUnwrap(this).polymerShadowRoot_||null;},setAttribute:function(name,value){var oldValue=unsafeUnwrap(this).getAttribute(name);unsafeUnwrap(this).setAttribute(name,value);enqueAttributeChange(this,name,oldValue);invalidateRendererBasedOnAttribute(this,name);},removeAttribute:function(name){var oldValue=unsafeUnwrap(this).getAttribute(name);unsafeUnwrap(this).removeAttribute(name);enqueAttributeChange(this,name,oldValue);invalidateRendererBasedOnAttribute(this,name);},get classList(){var list=classListTable.get(this);if(!list){list=unsafeUnwrap(this).classList;if(!list)return;list.ownerElement_=this;classListTable.set(this,list);} return list;},get className(){return unsafeUnwrap(this).className;},set className(v){this.setAttribute("class",v);},get id(){return unsafeUnwrap(this).id;},set id(v){this.setAttribute("id",v);}});matchesNames.forEach(function(name){if(name!=="matches"){Element.prototype[name]=function(selector){return this.matches(selector);};}});if(OriginalElement.prototype.webkitCreateShadowRoot){Element.prototype.webkitCreateShadowRoot=Element.prototype.createShadowRoot;} mixin(Element.prototype,ChildNodeInterface);mixin(Element.prototype,GetElementsByInterface);mixin(Element.prototype,ParentNodeInterface);mixin(Element.prototype,SelectorsInterface);mixin(Element.prototype,MatchesInterface);registerWrapper(OriginalElement,Element,document.createElementNS(null,"x"));scope.invalidateRendererBasedOnAttribute=invalidateRendererBasedOnAttribute;scope.matchesNames=matchesNames;scope.originalMatches=originalMatches;scope.wrappers.Element=Element;})(window.ShadowDOMPolyfill);(function(scope){"use strict";var Element=scope.wrappers.Element;var defineGetter=scope.defineGetter;var enqueueMutation=scope.enqueueMutation;var mixin=scope.mixin;var nodesWereAdded=scope.nodesWereAdded;var nodesWereRemoved=scope.nodesWereRemoved;var registerWrapper=scope.registerWrapper;var snapshotNodeList=scope.snapshotNodeList;var unsafeUnwrap=scope.unsafeUnwrap;var unwrap=scope.unwrap;var wrap=scope.wrap;var wrappers=scope.wrappers;var escapeAttrRegExp=/[&\u00A0"]/g;var escapeDataRegExp=/[&\u00A0<>]/g;function escapeReplace(c){switch(c){case"&":return"&";case"<":return"<";case">":return">";case'"':return""";case" ":return" ";}} function escapeAttr(s){return s.replace(escapeAttrRegExp,escapeReplace);} function escapeData(s){return s.replace(escapeDataRegExp,escapeReplace);} function makeSet(arr){var set={};for(var i=0;i";} return s+">"+getInnerHTML(node)+"";case Node.TEXT_NODE:var data=node.data;if(parentNode&&plaintextParents[parentNode.localName])return data;return escapeData(data);case Node.COMMENT_NODE:return"";default:console.error(node);throw new Error("not implemented");}} function getInnerHTML(node){if(node instanceof wrappers.HTMLTemplateElement)node=node.content;var s="";for(var child=node.firstChild;child;child=child.nextSibling){s+=getOuterHTML(child,node);} return s;} function setInnerHTML(node,value,opt_tagName){var tagName=opt_tagName||"div";node.textContent="";var tempElement=unwrap(node.ownerDocument.createElement(tagName));tempElement.innerHTML=value;var firstChild;while(firstChild=tempElement.firstChild){node.appendChild(wrap(firstChild));}} var oldIe=/MSIE/.test(navigator.userAgent);var OriginalHTMLElement=window.HTMLElement;var OriginalHTMLTemplateElement=window.HTMLTemplateElement;function HTMLElement(node){Element.call(this,node);} HTMLElement.prototype=Object.create(Element.prototype);mixin(HTMLElement.prototype,{get innerHTML(){return getInnerHTML(this);},set innerHTML(value){if(oldIe&&plaintextParents[this.localName]){this.textContent=value;return;} var removedNodes=snapshotNodeList(this.childNodes);if(this.invalidateShadowRenderer()){if(this instanceof wrappers.HTMLTemplateElement)setInnerHTML(this.content,value);else setInnerHTML(this,value,this.tagName);}else if(!OriginalHTMLTemplateElement&&this instanceof wrappers.HTMLTemplateElement){setInnerHTML(this.content,value);}else{unsafeUnwrap(this).innerHTML=value;} var addedNodes=snapshotNodeList(this.childNodes);enqueueMutation(this,"childList",{addedNodes:addedNodes,removedNodes:removedNodes});nodesWereRemoved(removedNodes);nodesWereAdded(addedNodes,this);},get outerHTML(){return getOuterHTML(this,this.parentNode);},set outerHTML(value){var p=this.parentNode;if(p){p.invalidateShadowRenderer();var df=frag(p,value);p.replaceChild(df,this);}},insertAdjacentHTML:function(position,text){var contextElement,refNode;switch(String(position).toLowerCase()){case"beforebegin":contextElement=this.parentNode;refNode=this;break;case"afterend":contextElement=this.parentNode;refNode=this.nextSibling;break;case"afterbegin":contextElement=this;refNode=this.firstChild;break;case"beforeend":contextElement=this;refNode=null;break;default:return;} var df=frag(contextElement,text);contextElement.insertBefore(df,refNode);},get hidden(){return this.hasAttribute("hidden");},set hidden(v){if(v){this.setAttribute("hidden","");}else{this.removeAttribute("hidden");}}});function frag(contextElement,html){var p=unwrap(contextElement.cloneNode(false));p.innerHTML=html;var df=unwrap(document.createDocumentFragment());var c;while(c=p.firstChild){df.appendChild(c);} return wrap(df);} function getter(name){return function(){scope.renderAllPending();return unsafeUnwrap(this)[name];};} function getterRequiresRendering(name){defineGetter(HTMLElement,name,getter(name));} ["clientHeight","clientLeft","clientTop","clientWidth","offsetHeight","offsetLeft","offsetTop","offsetWidth","scrollHeight","scrollWidth"].forEach(getterRequiresRendering);function getterAndSetterRequiresRendering(name){Object.defineProperty(HTMLElement.prototype,name,{get:getter(name),set:function(v){scope.renderAllPending();unsafeUnwrap(this)[name]=v;},configurable:true,enumerable:true});} ["scrollLeft","scrollTop"].forEach(getterAndSetterRequiresRendering);function methodRequiresRendering(name){Object.defineProperty(HTMLElement.prototype,name,{value:function(){scope.renderAllPending();return 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context&&wrap(context);}});registerWrapper(OriginalHTMLCanvasElement,HTMLCanvasElement,document.createElement("canvas"));scope.wrappers.HTMLCanvasElement=HTMLCanvasElement;})(window.ShadowDOMPolyfill);(function(scope){"use strict";var HTMLElement=scope.wrappers.HTMLElement;var mixin=scope.mixin;var registerWrapper=scope.registerWrapper;var OriginalHTMLContentElement=window.HTMLContentElement;function HTMLContentElement(node){HTMLElement.call(this,node);} HTMLContentElement.prototype=Object.create(HTMLElement.prototype);mixin(HTMLContentElement.prototype,{constructor:HTMLContentElement,get select(){return this.getAttribute("select");},set select(value){this.setAttribute("select",value);},setAttribute:function(n,v){HTMLElement.prototype.setAttribute.call(this,n,v);if(String(n).toLowerCase()==="select")this.invalidateShadowRenderer(true);}});if(OriginalHTMLContentElement)registerWrapper(OriginalHTMLContentElement,HTMLContentElement);scope.wrappers.HTMLContentElement=HTMLContentElement;})(window.ShadowDOMPolyfill);(function(scope){"use strict";var HTMLElement=scope.wrappers.HTMLElement;var mixin=scope.mixin;var registerWrapper=scope.registerWrapper;var wrapHTMLCollection=scope.wrapHTMLCollection;var unwrap=scope.unwrap;var OriginalHTMLFormElement=window.HTMLFormElement;function HTMLFormElement(node){HTMLElement.call(this,node);} HTMLFormElement.prototype=Object.create(HTMLElement.prototype);mixin(HTMLFormElement.prototype,{get elements(){return wrapHTMLCollection(unwrap(this).elements);}});registerWrapper(OriginalHTMLFormElement,HTMLFormElement,document.createElement("form"));scope.wrappers.HTMLFormElement=HTMLFormElement;})(window.ShadowDOMPolyfill);(function(scope){"use strict";var HTMLElement=scope.wrappers.HTMLElement;var registerWrapper=scope.registerWrapper;var unwrap=scope.unwrap;var rewrap=scope.rewrap;var OriginalHTMLImageElement=window.HTMLImageElement;function HTMLImageElement(node){HTMLElement.call(this,node);} HTMLImageElement.prototype=Object.create(HTMLElement.prototype);registerWrapper(OriginalHTMLImageElement,HTMLImageElement,document.createElement("img"));function Image(width,height){if(!(this instanceof Image)){throw new TypeError("DOM object constructor cannot be called as a function.");} var node=unwrap(document.createElement("img"));HTMLElement.call(this,node);rewrap(node,this);if(width!==undefined)node.width=width;if(height!==undefined)node.height=height;} Image.prototype=HTMLImageElement.prototype;scope.wrappers.HTMLImageElement=HTMLImageElement;scope.wrappers.Image=Image;})(window.ShadowDOMPolyfill);(function(scope){"use strict";var HTMLElement=scope.wrappers.HTMLElement;var mixin=scope.mixin;var NodeList=scope.wrappers.NodeList;var registerWrapper=scope.registerWrapper;var OriginalHTMLShadowElement=window.HTMLShadowElement;function HTMLShadowElement(node){HTMLElement.call(this,node);} HTMLShadowElement.prototype=Object.create(HTMLElement.prototype);HTMLShadowElement.prototype.constructor=HTMLShadowElement;if(OriginalHTMLShadowElement)registerWrapper(OriginalHTMLShadowElement,HTMLShadowElement);scope.wrappers.HTMLShadowElement=HTMLShadowElement;})(window.ShadowDOMPolyfill);(function(scope){"use strict";var HTMLElement=scope.wrappers.HTMLElement;var mixin=scope.mixin;var registerWrapper=scope.registerWrapper;var unsafeUnwrap=scope.unsafeUnwrap;var unwrap=scope.unwrap;var wrap=scope.wrap;var contentTable=new WeakMap();var templateContentsOwnerTable=new WeakMap();function getTemplateContentsOwner(doc){if(!doc.defaultView)return doc;var d=templateContentsOwnerTable.get(doc);if(!d){d=doc.implementation.createHTMLDocument("");while(d.lastChild){d.removeChild(d.lastChild);} templateContentsOwnerTable.set(doc,d);} return d;} function extractContent(templateElement){var doc=getTemplateContentsOwner(templateElement.ownerDocument);var df=unwrap(doc.createDocumentFragment());var child;while(child=templateElement.firstChild){df.appendChild(child);} return df;} var OriginalHTMLTemplateElement=window.HTMLTemplateElement;function HTMLTemplateElement(node){HTMLElement.call(this,node);if(!OriginalHTMLTemplateElement){var content=extractContent(node);contentTable.set(this,wrap(content));}} HTMLTemplateElement.prototype=Object.create(HTMLElement.prototype);mixin(HTMLTemplateElement.prototype,{constructor:HTMLTemplateElement,get content(){if(OriginalHTMLTemplateElement)return wrap(unsafeUnwrap(this).content);return contentTable.get(this);}});if(OriginalHTMLTemplateElement)registerWrapper(OriginalHTMLTemplateElement,HTMLTemplateElement);scope.wrappers.HTMLTemplateElement=HTMLTemplateElement;})(window.ShadowDOMPolyfill);(function(scope){"use strict";var HTMLElement=scope.wrappers.HTMLElement;var registerWrapper=scope.registerWrapper;var OriginalHTMLMediaElement=window.HTMLMediaElement;if(!OriginalHTMLMediaElement)return;function HTMLMediaElement(node){HTMLElement.call(this,node);} HTMLMediaElement.prototype=Object.create(HTMLElement.prototype);registerWrapper(OriginalHTMLMediaElement,HTMLMediaElement,document.createElement("audio"));scope.wrappers.HTMLMediaElement=HTMLMediaElement;})(window.ShadowDOMPolyfill);(function(scope){"use strict";var HTMLMediaElement=scope.wrappers.HTMLMediaElement;var registerWrapper=scope.registerWrapper;var unwrap=scope.unwrap;var rewrap=scope.rewrap;var OriginalHTMLAudioElement=window.HTMLAudioElement;if(!OriginalHTMLAudioElement)return;function HTMLAudioElement(node){HTMLMediaElement.call(this,node);} HTMLAudioElement.prototype=Object.create(HTMLMediaElement.prototype);registerWrapper(OriginalHTMLAudioElement,HTMLAudioElement,document.createElement("audio"));function Audio(src){if(!(this instanceof Audio)){throw new TypeError("DOM object constructor cannot be called as a function.");} var node=unwrap(document.createElement("audio"));HTMLMediaElement.call(this,node);rewrap(node,this);node.setAttribute("preload","auto");if(src!==undefined)node.setAttribute("src",src);} Audio.prototype=HTMLAudioElement.prototype;scope.wrappers.HTMLAudioElement=HTMLAudioElement;scope.wrappers.Audio=Audio;})(window.ShadowDOMPolyfill);(function(scope){"use strict";var HTMLElement=scope.wrappers.HTMLElement;var mixin=scope.mixin;var registerWrapper=scope.registerWrapper;var rewrap=scope.rewrap;var unwrap=scope.unwrap;var wrap=scope.wrap;var OriginalHTMLOptionElement=window.HTMLOptionElement;function trimText(s){return s.replace(/\s+/g," ").trim();} function HTMLOptionElement(node){HTMLElement.call(this,node);} HTMLOptionElement.prototype=Object.create(HTMLElement.prototype);mixin(HTMLOptionElement.prototype,{get text(){return trimText(this.textContent);},set text(value){this.textContent=trimText(String(value));},get form(){return wrap(unwrap(this).form);}});registerWrapper(OriginalHTMLOptionElement,HTMLOptionElement,document.createElement("option"));function Option(text,value,defaultSelected,selected){if(!(this instanceof Option)){throw new TypeError("DOM object constructor cannot be called as a function.");} var node=unwrap(document.createElement("option"));HTMLElement.call(this,node);rewrap(node,this);if(text!==undefined)node.text=text;if(value!==undefined)node.setAttribute("value",value);if(defaultSelected===true)node.setAttribute("selected","");node.selected=selected===true;} Option.prototype=HTMLOptionElement.prototype;scope.wrappers.HTMLOptionElement=HTMLOptionElement;scope.wrappers.Option=Option;})(window.ShadowDOMPolyfill);(function(scope){"use strict";var HTMLElement=scope.wrappers.HTMLElement;var mixin=scope.mixin;var registerWrapper=scope.registerWrapper;var unwrap=scope.unwrap;var wrap=scope.wrap;var OriginalHTMLSelectElement=window.HTMLSelectElement;function HTMLSelectElement(node){HTMLElement.call(this,node);} HTMLSelectElement.prototype=Object.create(HTMLElement.prototype);mixin(HTMLSelectElement.prototype,{add:function(element,before){if(typeof before==="object")before=unwrap(before);unwrap(this).add(unwrap(element),before);},remove:function(indexOrNode){if(indexOrNode===undefined){HTMLElement.prototype.remove.call(this);return;} if(typeof indexOrNode==="object")indexOrNode=unwrap(indexOrNode);unwrap(this).remove(indexOrNode);},get form(){return wrap(unwrap(this).form);}});registerWrapper(OriginalHTMLSelectElement,HTMLSelectElement,document.createElement("select"));scope.wrappers.HTMLSelectElement=HTMLSelectElement;})(window.ShadowDOMPolyfill);(function(scope){"use strict";var HTMLElement=scope.wrappers.HTMLElement;var mixin=scope.mixin;var registerWrapper=scope.registerWrapper;var unwrap=scope.unwrap;var wrap=scope.wrap;var wrapHTMLCollection=scope.wrapHTMLCollection;var OriginalHTMLTableElement=window.HTMLTableElement;function HTMLTableElement(node){HTMLElement.call(this,node);} HTMLTableElement.prototype=Object.create(HTMLElement.prototype);mixin(HTMLTableElement.prototype,{get caption(){return wrap(unwrap(this).caption);},createCaption:function(){return wrap(unwrap(this).createCaption());},get tHead(){return wrap(unwrap(this).tHead);},createTHead:function(){return wrap(unwrap(this).createTHead());},createTFoot:function(){return wrap(unwrap(this).createTFoot());},get tFoot(){return wrap(unwrap(this).tFoot);},get tBodies(){return wrapHTMLCollection(unwrap(this).tBodies);},createTBody:function(){return wrap(unwrap(this).createTBody());},get rows(){return wrapHTMLCollection(unwrap(this).rows);},insertRow:function(index){return wrap(unwrap(this).insertRow(index));}});registerWrapper(OriginalHTMLTableElement,HTMLTableElement,document.createElement("table"));scope.wrappers.HTMLTableElement=HTMLTableElement;})(window.ShadowDOMPolyfill);(function(scope){"use strict";var HTMLElement=scope.wrappers.HTMLElement;var mixin=scope.mixin;var registerWrapper=scope.registerWrapper;var wrapHTMLCollection=scope.wrapHTMLCollection;var unwrap=scope.unwrap;var wrap=scope.wrap;var OriginalHTMLTableSectionElement=window.HTMLTableSectionElement;function HTMLTableSectionElement(node){HTMLElement.call(this,node);} HTMLTableSectionElement.prototype=Object.create(HTMLElement.prototype);mixin(HTMLTableSectionElement.prototype,{constructor:HTMLTableSectionElement,get rows(){return wrapHTMLCollection(unwrap(this).rows);},insertRow:function(index){return wrap(unwrap(this).insertRow(index));}});registerWrapper(OriginalHTMLTableSectionElement,HTMLTableSectionElement,document.createElement("thead"));scope.wrappers.HTMLTableSectionElement=HTMLTableSectionElement;})(window.ShadowDOMPolyfill);(function(scope){"use strict";var HTMLElement=scope.wrappers.HTMLElement;var mixin=scope.mixin;var registerWrapper=scope.registerWrapper;var wrapHTMLCollection=scope.wrapHTMLCollection;var unwrap=scope.unwrap;var wrap=scope.wrap;var OriginalHTMLTableRowElement=window.HTMLTableRowElement;function HTMLTableRowElement(node){HTMLElement.call(this,node);} HTMLTableRowElement.prototype=Object.create(HTMLElement.prototype);mixin(HTMLTableRowElement.prototype,{get cells(){return wrapHTMLCollection(unwrap(this).cells);},insertCell:function(index){return wrap(unwrap(this).insertCell(index));}});registerWrapper(OriginalHTMLTableRowElement,HTMLTableRowElement,document.createElement("tr"));scope.wrappers.HTMLTableRowElement=HTMLTableRowElement;})(window.ShadowDOMPolyfill);(function(scope){"use strict";var HTMLContentElement=scope.wrappers.HTMLContentElement;var HTMLElement=scope.wrappers.HTMLElement;var HTMLShadowElement=scope.wrappers.HTMLShadowElement;var HTMLTemplateElement=scope.wrappers.HTMLTemplateElement;var mixin=scope.mixin;var registerWrapper=scope.registerWrapper;var OriginalHTMLUnknownElement=window.HTMLUnknownElement;function HTMLUnknownElement(node){switch(node.localName){case"content":return new HTMLContentElement(node);case"shadow":return new HTMLShadowElement(node);case"template":return new HTMLTemplateElement(node);} HTMLElement.call(this,node);} HTMLUnknownElement.prototype=Object.create(HTMLElement.prototype);registerWrapper(OriginalHTMLUnknownElement,HTMLUnknownElement);scope.wrappers.HTMLUnknownElement=HTMLUnknownElement;})(window.ShadowDOMPolyfill);(function(scope){"use strict";var Element=scope.wrappers.Element;var HTMLElement=scope.wrappers.HTMLElement;var registerWrapper=scope.registerWrapper;var defineWrapGetter=scope.defineWrapGetter;var unsafeUnwrap=scope.unsafeUnwrap;var wrap=scope.wrap;var mixin=scope.mixin;var SVG_NS="http://www.w3.org/2000/svg";var OriginalSVGElement=window.SVGElement;var svgTitleElement=document.createElementNS(SVG_NS,"title");if(!("classList"in svgTitleElement)){var descr=Object.getOwnPropertyDescriptor(Element.prototype,"classList");Object.defineProperty(HTMLElement.prototype,"classList",descr);delete Element.prototype.classList;} function SVGElement(node){Element.call(this,node);} SVGElement.prototype=Object.create(Element.prototype);mixin(SVGElement.prototype,{get ownerSVGElement(){return wrap(unsafeUnwrap(this).ownerSVGElement);}});registerWrapper(OriginalSVGElement,SVGElement,document.createElementNS(SVG_NS,"title"));scope.wrappers.SVGElement=SVGElement;})(window.ShadowDOMPolyfill);(function(scope){"use strict";var mixin=scope.mixin;var registerWrapper=scope.registerWrapper;var unwrap=scope.unwrap;var wrap=scope.wrap;var OriginalSVGUseElement=window.SVGUseElement;var SVG_NS="http://www.w3.org/2000/svg";var gWrapper=wrap(document.createElementNS(SVG_NS,"g"));var useElement=document.createElementNS(SVG_NS,"use");var SVGGElement=gWrapper.constructor;var parentInterfacePrototype=Object.getPrototypeOf(SVGGElement.prototype);var parentInterface=parentInterfacePrototype.constructor;function SVGUseElement(impl){parentInterface.call(this,impl);} SVGUseElement.prototype=Object.create(parentInterfacePrototype);if("instanceRoot"in useElement){mixin(SVGUseElement.prototype,{get instanceRoot(){return wrap(unwrap(this).instanceRoot);},get animatedInstanceRoot(){return wrap(unwrap(this).animatedInstanceRoot);}});} registerWrapper(OriginalSVGUseElement,SVGUseElement,useElement);scope.wrappers.SVGUseElement=SVGUseElement;})(window.ShadowDOMPolyfill);(function(scope){"use strict";var EventTarget=scope.wrappers.EventTarget;var mixin=scope.mixin;var registerWrapper=scope.registerWrapper;var unsafeUnwrap=scope.unsafeUnwrap;var wrap=scope.wrap;var OriginalSVGElementInstance=window.SVGElementInstance;if(!OriginalSVGElementInstance)return;function SVGElementInstance(impl){EventTarget.call(this,impl);} SVGElementInstance.prototype=Object.create(EventTarget.prototype);mixin(SVGElementInstance.prototype,{get correspondingElement(){return wrap(unsafeUnwrap(this).correspondingElement);},get correspondingUseElement(){return wrap(unsafeUnwrap(this).correspondingUseElement);},get parentNode(){return wrap(unsafeUnwrap(this).parentNode);},get childNodes(){throw new Error("Not implemented");},get firstChild(){return wrap(unsafeUnwrap(this).firstChild);},get lastChild(){return wrap(unsafeUnwrap(this).lastChild);},get previousSibling(){return wrap(unsafeUnwrap(this).previousSibling);},get nextSibling(){return wrap(unsafeUnwrap(this).nextSibling);}});registerWrapper(OriginalSVGElementInstance,SVGElementInstance);scope.wrappers.SVGElementInstance=SVGElementInstance;})(window.ShadowDOMPolyfill);(function(scope){"use strict";var mixin=scope.mixin;var registerWrapper=scope.registerWrapper;var setWrapper=scope.setWrapper;var unsafeUnwrap=scope.unsafeUnwrap;var unwrap=scope.unwrap;var unwrapIfNeeded=scope.unwrapIfNeeded;var wrap=scope.wrap;var OriginalCanvasRenderingContext2D=window.CanvasRenderingContext2D;function CanvasRenderingContext2D(impl){setWrapper(impl,this);} mixin(CanvasRenderingContext2D.prototype,{get canvas(){return wrap(unsafeUnwrap(this).canvas);},drawImage:function(){arguments[0]=unwrapIfNeeded(arguments[0]);unsafeUnwrap(this).drawImage.apply(unsafeUnwrap(this),arguments);},createPattern:function(){arguments[0]=unwrap(arguments[0]);return unsafeUnwrap(this).createPattern.apply(unsafeUnwrap(this),arguments);}});registerWrapper(OriginalCanvasRenderingContext2D,CanvasRenderingContext2D,document.createElement("canvas").getContext("2d"));scope.wrappers.CanvasRenderingContext2D=CanvasRenderingContext2D;})(window.ShadowDOMPolyfill);(function(scope){"use strict";var addForwardingProperties=scope.addForwardingProperties;var mixin=scope.mixin;var registerWrapper=scope.registerWrapper;var setWrapper=scope.setWrapper;var unsafeUnwrap=scope.unsafeUnwrap;var unwrapIfNeeded=scope.unwrapIfNeeded;var wrap=scope.wrap;var OriginalWebGLRenderingContext=window.WebGLRenderingContext;if(!OriginalWebGLRenderingContext)return;function WebGLRenderingContext(impl){setWrapper(impl,this);} mixin(WebGLRenderingContext.prototype,{get canvas(){return wrap(unsafeUnwrap(this).canvas);},texImage2D:function(){arguments[5]=unwrapIfNeeded(arguments[5]);unsafeUnwrap(this).texImage2D.apply(unsafeUnwrap(this),arguments);},texSubImage2D:function(){arguments[6]=unwrapIfNeeded(arguments[6]);unsafeUnwrap(this).texSubImage2D.apply(unsafeUnwrap(this),arguments);}});var OriginalWebGLRenderingContextBase=Object.getPrototypeOf(OriginalWebGLRenderingContext.prototype);if(OriginalWebGLRenderingContextBase!==Object.prototype){addForwardingProperties(OriginalWebGLRenderingContextBase,WebGLRenderingContext.prototype);} var instanceProperties=/WebKit/.test(navigator.userAgent)?{drawingBufferHeight:null,drawingBufferWidth:null}:{};registerWrapper(OriginalWebGLRenderingContext,WebGLRenderingContext,instanceProperties);scope.wrappers.WebGLRenderingContext=WebGLRenderingContext;})(window.ShadowDOMPolyfill);(function(scope){"use strict";var Node=scope.wrappers.Node;var GetElementsByInterface=scope.GetElementsByInterface;var NonElementParentNodeInterface=scope.NonElementParentNodeInterface;var ParentNodeInterface=scope.ParentNodeInterface;var SelectorsInterface=scope.SelectorsInterface;var mixin=scope.mixin;var registerObject=scope.registerObject;var registerWrapper=scope.registerWrapper;var OriginalDocumentFragment=window.DocumentFragment;function DocumentFragment(node){Node.call(this,node);} DocumentFragment.prototype=Object.create(Node.prototype);mixin(DocumentFragment.prototype,ParentNodeInterface);mixin(DocumentFragment.prototype,SelectorsInterface);mixin(DocumentFragment.prototype,GetElementsByInterface);mixin(DocumentFragment.prototype,NonElementParentNodeInterface);registerWrapper(OriginalDocumentFragment,DocumentFragment,document.createDocumentFragment());scope.wrappers.DocumentFragment=DocumentFragment;var Comment=registerObject(document.createComment(""));scope.wrappers.Comment=Comment;})(window.ShadowDOMPolyfill);(function(scope){"use strict";var DocumentFragment=scope.wrappers.DocumentFragment;var TreeScope=scope.TreeScope;var elementFromPoint=scope.elementFromPoint;var getInnerHTML=scope.getInnerHTML;var getTreeScope=scope.getTreeScope;var mixin=scope.mixin;var rewrap=scope.rewrap;var setInnerHTML=scope.setInnerHTML;var unsafeUnwrap=scope.unsafeUnwrap;var unwrap=scope.unwrap;var wrap=scope.wrap;var shadowHostTable=new WeakMap();var nextOlderShadowTreeTable=new WeakMap();function ShadowRoot(hostWrapper){var node=unwrap(unsafeUnwrap(hostWrapper).ownerDocument.createDocumentFragment());DocumentFragment.call(this,node);rewrap(node,this);var oldShadowRoot=hostWrapper.shadowRoot;nextOlderShadowTreeTable.set(this,oldShadowRoot);this.treeScope_=new TreeScope(this,getTreeScope(oldShadowRoot||hostWrapper));shadowHostTable.set(this,hostWrapper);} ShadowRoot.prototype=Object.create(DocumentFragment.prototype);mixin(ShadowRoot.prototype,{constructor:ShadowRoot,get innerHTML(){return getInnerHTML(this);},set innerHTML(value){setInnerHTML(this,value);this.invalidateShadowRenderer();},get olderShadowRoot(){return nextOlderShadowTreeTable.get(this)||null;},get host(){return shadowHostTable.get(this)||null;},invalidateShadowRenderer:function(){return shadowHostTable.get(this).invalidateShadowRenderer();},elementFromPoint:function(x,y){return elementFromPoint(this,this.ownerDocument,x,y);},getSelection:function(){return document.getSelection();},get activeElement(){var unwrappedActiveElement=unwrap(this).ownerDocument.activeElement;if(!unwrappedActiveElement||!unwrappedActiveElement.nodeType)return null;var activeElement=wrap(unwrappedActiveElement);while(!this.contains(activeElement)){while(activeElement.parentNode){activeElement=activeElement.parentNode;} if(activeElement.host){activeElement=activeElement.host;}else{return null;}} return activeElement;}});scope.wrappers.ShadowRoot=ShadowRoot;})(window.ShadowDOMPolyfill);(function(scope){"use strict";var registerWrapper=scope.registerWrapper;var setWrapper=scope.setWrapper;var unsafeUnwrap=scope.unsafeUnwrap;var unwrap=scope.unwrap;var unwrapIfNeeded=scope.unwrapIfNeeded;var wrap=scope.wrap;var getTreeScope=scope.getTreeScope;var OriginalRange=window.Range;var ShadowRoot=scope.wrappers.ShadowRoot;function getHost(node){var root=getTreeScope(node).root;if(root instanceof ShadowRoot){return root.host;} return null;} function hostNodeToShadowNode(refNode,offset){if(refNode.shadowRoot){offset=Math.min(refNode.childNodes.length-1,offset);var child=refNode.childNodes[offset];if(child){var insertionPoint=scope.getDestinationInsertionPoints(child);if(insertionPoint.length>0){var parentNode=insertionPoint[0].parentNode;if(parentNode.nodeType==Node.ELEMENT_NODE){refNode=parentNode;}}}} return refNode;} function shadowNodeToHostNode(node){node=wrap(node);return getHost(node)||node;} function Range(impl){setWrapper(impl,this);} Range.prototype={get startContainer(){return shadowNodeToHostNode(unsafeUnwrap(this).startContainer);},get endContainer(){return shadowNodeToHostNode(unsafeUnwrap(this).endContainer);},get commonAncestorContainer(){return shadowNodeToHostNode(unsafeUnwrap(this).commonAncestorContainer);},setStart:function(refNode,offset){refNode=hostNodeToShadowNode(refNode,offset);unsafeUnwrap(this).setStart(unwrapIfNeeded(refNode),offset);},setEnd:function(refNode,offset){refNode=hostNodeToShadowNode(refNode,offset);unsafeUnwrap(this).setEnd(unwrapIfNeeded(refNode),offset);},setStartBefore:function(refNode){unsafeUnwrap(this).setStartBefore(unwrapIfNeeded(refNode));},setStartAfter:function(refNode){unsafeUnwrap(this).setStartAfter(unwrapIfNeeded(refNode));},setEndBefore:function(refNode){unsafeUnwrap(this).setEndBefore(unwrapIfNeeded(refNode));},setEndAfter:function(refNode){unsafeUnwrap(this).setEndAfter(unwrapIfNeeded(refNode));},selectNode:function(refNode){unsafeUnwrap(this).selectNode(unwrapIfNeeded(refNode));},selectNodeContents:function(refNode){unsafeUnwrap(this).selectNodeContents(unwrapIfNeeded(refNode));},compareBoundaryPoints:function(how,sourceRange){return unsafeUnwrap(this).compareBoundaryPoints(how,unwrap(sourceRange));},extractContents:function(){return wrap(unsafeUnwrap(this).extractContents());},cloneContents:function(){return wrap(unsafeUnwrap(this).cloneContents());},insertNode:function(node){unsafeUnwrap(this).insertNode(unwrapIfNeeded(node));},surroundContents:function(newParent){unsafeUnwrap(this).surroundContents(unwrapIfNeeded(newParent));},cloneRange:function(){return wrap(unsafeUnwrap(this).cloneRange());},isPointInRange:function(node,offset){return unsafeUnwrap(this).isPointInRange(unwrapIfNeeded(node),offset);},comparePoint:function(node,offset){return unsafeUnwrap(this).comparePoint(unwrapIfNeeded(node),offset);},intersectsNode:function(node){return unsafeUnwrap(this).intersectsNode(unwrapIfNeeded(node));},toString:function(){return unsafeUnwrap(this).toString();}};if(OriginalRange.prototype.createContextualFragment){Range.prototype.createContextualFragment=function(html){return wrap(unsafeUnwrap(this).createContextualFragment(html));};} registerWrapper(window.Range,Range,document.createRange());scope.wrappers.Range=Range;})(window.ShadowDOMPolyfill);(function(scope){"use strict";var Element=scope.wrappers.Element;var HTMLContentElement=scope.wrappers.HTMLContentElement;var HTMLShadowElement=scope.wrappers.HTMLShadowElement;var Node=scope.wrappers.Node;var ShadowRoot=scope.wrappers.ShadowRoot;var assert=scope.assert;var getTreeScope=scope.getTreeScope;var mixin=scope.mixin;var oneOf=scope.oneOf;var unsafeUnwrap=scope.unsafeUnwrap;var unwrap=scope.unwrap;var wrap=scope.wrap;var ArraySplice=scope.ArraySplice;function updateWrapperUpAndSideways(wrapper){wrapper.previousSibling_=wrapper.previousSibling;wrapper.nextSibling_=wrapper.nextSibling;wrapper.parentNode_=wrapper.parentNode;} function updateWrapperDown(wrapper){wrapper.firstChild_=wrapper.firstChild;wrapper.lastChild_=wrapper.lastChild;} function updateAllChildNodes(parentNodeWrapper){assert(parentNodeWrapper instanceof Node);for(var childWrapper=parentNodeWrapper.firstChild;childWrapper;childWrapper=childWrapper.nextSibling){updateWrapperUpAndSideways(childWrapper);} updateWrapperDown(parentNodeWrapper);} function insertBefore(parentNodeWrapper,newChildWrapper,refChildWrapper){var parentNode=unwrap(parentNodeWrapper);var newChild=unwrap(newChildWrapper);var refChild=refChildWrapper?unwrap(refChildWrapper):null;remove(newChildWrapper);updateWrapperUpAndSideways(newChildWrapper);if(!refChildWrapper){parentNodeWrapper.lastChild_=parentNodeWrapper.lastChild;if(parentNodeWrapper.lastChild===parentNodeWrapper.firstChild)parentNodeWrapper.firstChild_=parentNodeWrapper.firstChild;var lastChildWrapper=wrap(parentNode.lastChild);if(lastChildWrapper)lastChildWrapper.nextSibling_=lastChildWrapper.nextSibling;}else{if(parentNodeWrapper.firstChild===refChildWrapper)parentNodeWrapper.firstChild_=refChildWrapper;refChildWrapper.previousSibling_=refChildWrapper.previousSibling;} scope.originalInsertBefore.call(parentNode,newChild,refChild);} function remove(nodeWrapper){var node=unwrap(nodeWrapper);var parentNode=node.parentNode;if(!parentNode)return;var parentNodeWrapper=wrap(parentNode);updateWrapperUpAndSideways(nodeWrapper);if(nodeWrapper.previousSibling)nodeWrapper.previousSibling.nextSibling_=nodeWrapper;if(nodeWrapper.nextSibling)nodeWrapper.nextSibling.previousSibling_=nodeWrapper;if(parentNodeWrapper.lastChild===nodeWrapper)parentNodeWrapper.lastChild_=nodeWrapper;if(parentNodeWrapper.firstChild===nodeWrapper)parentNodeWrapper.firstChild_=nodeWrapper;scope.originalRemoveChild.call(parentNode,node);} var distributedNodesTable=new WeakMap();var destinationInsertionPointsTable=new WeakMap();var rendererForHostTable=new WeakMap();function resetDistributedNodes(insertionPoint){distributedNodesTable.set(insertionPoint,[]);} function getDistributedNodes(insertionPoint){var rv=distributedNodesTable.get(insertionPoint);if(!rv)distributedNodesTable.set(insertionPoint,rv=[]);return rv;} function getChildNodesSnapshot(node){var result=[],i=0;for(var child=node.firstChild;child;child=child.nextSibling){result[i++]=child;} return result;} var request=oneOf(window,["requestAnimationFrame","mozRequestAnimationFrame","webkitRequestAnimationFrame","setTimeout"]);var pendingDirtyRenderers=[];var renderTimer;function renderAllPending(){for(var i=0;i=0;i--){var shadowTree=shadowTrees[i];var shadow=getShadowInsertionPoint(shadowTree);if(shadow){var olderShadowRoot=shadowTree.olderShadowRoot;if(olderShadowRoot){pool=poolPopulation(olderShadowRoot);} for(var j=0;j=0;i--){newPrototype=Object.create(newPrototype);} ["createdCallback","attachedCallback","detachedCallback","attributeChangedCallback"].forEach(function(name){var f=prototype[name];if(!f)return;newPrototype[name]=function(){if(!(wrap(this)instanceof CustomElementConstructor)){rewrap(this);} f.apply(wrap(this),arguments);};});var p={prototype:newPrototype};if(extendsOption)p.extends=extendsOption;function CustomElementConstructor(node){if(!node){if(extendsOption){return document.createElement(extendsOption,tagName);}else{return document.createElement(tagName);}} setWrapper(node,this);} CustomElementConstructor.prototype=prototype;CustomElementConstructor.prototype.constructor=CustomElementConstructor;scope.constructorTable.set(newPrototype,CustomElementConstructor);scope.nativePrototypeTable.set(prototype,newPrototype);var nativeConstructor=originalRegisterElement.call(unwrap(this),tagName,p);return CustomElementConstructor;};forwardMethodsToWrapper([window.HTMLDocument||window.Document],["registerElement"]);} forwardMethodsToWrapper([window.HTMLBodyElement,window.HTMLDocument||window.Document,window.HTMLHeadElement,window.HTMLHtmlElement],["appendChild","compareDocumentPosition","contains","getElementsByClassName","getElementsByTagName","getElementsByTagNameNS","insertBefore","querySelector","querySelectorAll","removeChild","replaceChild"]);forwardMethodsToWrapper([window.HTMLBodyElement,window.HTMLHeadElement,window.HTMLHtmlElement],matchesNames);forwardMethodsToWrapper([window.HTMLDocument||window.Document],["adoptNode","importNode","contains","createComment","createDocumentFragment","createElement","createElementNS","createEvent","createEventNS","createRange","createTextNode","createTreeWalker","elementFromPoint","getElementById","getElementsByName","getSelection"]);mixin(Document.prototype,GetElementsByInterface);mixin(Document.prototype,ParentNodeInterface);mixin(Document.prototype,SelectorsInterface);mixin(Document.prototype,NonElementParentNodeInterface);mixin(Document.prototype,{get implementation(){var implementation=implementationTable.get(this);if(implementation)return implementation;implementation=new DOMImplementation(unwrap(this).implementation);implementationTable.set(this,implementation);return implementation;},get defaultView(){return wrap(unwrap(this).defaultView);}});registerWrapper(window.Document,Document,document.implementation.createHTMLDocument(""));if(window.HTMLDocument)registerWrapper(window.HTMLDocument,Document);wrapEventTargetMethods([window.HTMLBodyElement,window.HTMLDocument||window.Document,window.HTMLHeadElement]);function DOMImplementation(impl){setWrapper(impl,this);} var originalCreateDocument=document.implementation.createDocument;DOMImplementation.prototype.createDocument=function(){arguments[2]=unwrap(arguments[2]);return wrap(originalCreateDocument.apply(unsafeUnwrap(this),arguments));};function wrapImplMethod(constructor,name){var original=document.implementation[name];constructor.prototype[name]=function(){return wrap(original.apply(unsafeUnwrap(this),arguments));};} function forwardImplMethod(constructor,name){var original=document.implementation[name];constructor.prototype[name]=function(){return original.apply(unsafeUnwrap(this),arguments);};} wrapImplMethod(DOMImplementation,"createDocumentType");wrapImplMethod(DOMImplementation,"createHTMLDocument");forwardImplMethod(DOMImplementation,"hasFeature");registerWrapper(window.DOMImplementation,DOMImplementation);forwardMethodsToWrapper([window.DOMImplementation],["createDocument","createDocumentType","createHTMLDocument","hasFeature"]);scope.adoptNodeNoRemove=adoptNodeNoRemove;scope.wrappers.DOMImplementation=DOMImplementation;scope.wrappers.Document=Document;})(window.ShadowDOMPolyfill);(function(scope){"use strict";var EventTarget=scope.wrappers.EventTarget;var Selection=scope.wrappers.Selection;var mixin=scope.mixin;var registerWrapper=scope.registerWrapper;var renderAllPending=scope.renderAllPending;var unwrap=scope.unwrap;var unwrapIfNeeded=scope.unwrapIfNeeded;var wrap=scope.wrap;var OriginalWindow=window.Window;var originalGetComputedStyle=window.getComputedStyle;var originalGetDefaultComputedStyle=window.getDefaultComputedStyle;var originalGetSelection=window.getSelection;function Window(impl){EventTarget.call(this,impl);} Window.prototype=Object.create(EventTarget.prototype);OriginalWindow.prototype.getComputedStyle=function(el,pseudo){return wrap(this||window).getComputedStyle(unwrapIfNeeded(el),pseudo);};if(originalGetDefaultComputedStyle){OriginalWindow.prototype.getDefaultComputedStyle=function(el,pseudo){return wrap(this||window).getDefaultComputedStyle(unwrapIfNeeded(el),pseudo);};} OriginalWindow.prototype.getSelection=function(){return wrap(this||window).getSelection();};delete window.getComputedStyle;delete window.getDefaultComputedStyle;delete window.getSelection;["addEventListener","removeEventListener","dispatchEvent"].forEach(function(name){OriginalWindow.prototype[name]=function(){var w=wrap(this||window);return w[name].apply(w,arguments);};delete window[name];});mixin(Window.prototype,{getComputedStyle:function(el,pseudo){renderAllPending();return originalGetComputedStyle.call(unwrap(this),unwrapIfNeeded(el),pseudo);},getSelection:function(){renderAllPending();return new Selection(originalGetSelection.call(unwrap(this)));},get document(){return wrap(unwrap(this).document);}});if(originalGetDefaultComputedStyle){Window.prototype.getDefaultComputedStyle=function(el,pseudo){renderAllPending();return originalGetDefaultComputedStyle.call(unwrap(this),unwrapIfNeeded(el),pseudo);};} registerWrapper(OriginalWindow,Window,window);scope.wrappers.Window=Window;})(window.ShadowDOMPolyfill);(function(scope){"use strict";var unwrap=scope.unwrap;var OriginalDataTransfer=window.DataTransfer||window.Clipboard;var OriginalDataTransferSetDragImage=OriginalDataTransfer.prototype.setDragImage;if(OriginalDataTransferSetDragImage){OriginalDataTransfer.prototype.setDragImage=function(image,x,y){OriginalDataTransferSetDragImage.call(this,unwrap(image),x,y);};}})(window.ShadowDOMPolyfill);(function(scope){"use strict";var registerWrapper=scope.registerWrapper;var setWrapper=scope.setWrapper;var unwrap=scope.unwrap;var OriginalFormData=window.FormData;if(!OriginalFormData)return;function FormData(formElement){var impl;if(formElement instanceof OriginalFormData){impl=formElement;}else{impl=new OriginalFormData(formElement&&unwrap(formElement));} setWrapper(impl,this);} registerWrapper(OriginalFormData,FormData,new OriginalFormData());scope.wrappers.FormData=FormData;})(window.ShadowDOMPolyfill);(function(scope){"use strict";var unwrapIfNeeded=scope.unwrapIfNeeded;var originalSend=XMLHttpRequest.prototype.send;XMLHttpRequest.prototype.send=function(obj){return originalSend.call(this,unwrapIfNeeded(obj));};})(window.ShadowDOMPolyfill);(function(scope){"use strict";var isWrapperFor=scope.isWrapperFor;var elements={a:"HTMLAnchorElement",area:"HTMLAreaElement",audio:"HTMLAudioElement",base:"HTMLBaseElement",body:"HTMLBodyElement",br:"HTMLBRElement",button:"HTMLButtonElement",canvas:"HTMLCanvasElement",caption:"HTMLTableCaptionElement",col:"HTMLTableColElement",content:"HTMLContentElement",data:"HTMLDataElement",datalist:"HTMLDataListElement",del:"HTMLModElement",dir:"HTMLDirectoryElement",div:"HTMLDivElement",dl:"HTMLDListElement",embed:"HTMLEmbedElement",fieldset:"HTMLFieldSetElement",font:"HTMLFontElement",form:"HTMLFormElement",frame:"HTMLFrameElement",frameset:"HTMLFrameSetElement",h1:"HTMLHeadingElement",head:"HTMLHeadElement",hr:"HTMLHRElement",html:"HTMLHtmlElement",iframe:"HTMLIFrameElement",img:"HTMLImageElement",input:"HTMLInputElement",keygen:"HTMLKeygenElement",label:"HTMLLabelElement",legend:"HTMLLegendElement",li:"HTMLLIElement",link:"HTMLLinkElement",map:"HTMLMapElement",marquee:"HTMLMarqueeElement",menu:"HTMLMenuElement",menuitem:"HTMLMenuItemElement",meta:"HTMLMetaElement",meter:"HTMLMeterElement",object:"HTMLObjectElement",ol:"HTMLOListElement",optgroup:"HTMLOptGroupElement",option:"HTMLOptionElement",output:"HTMLOutputElement",p:"HTMLParagraphElement",param:"HTMLParamElement",pre:"HTMLPreElement",progress:"HTMLProgressElement",q:"HTMLQuoteElement",script:"HTMLScriptElement",select:"HTMLSelectElement",shadow:"HTMLShadowElement",source:"HTMLSourceElement",span:"HTMLSpanElement",style:"HTMLStyleElement",table:"HTMLTableElement",tbody:"HTMLTableSectionElement",template:"HTMLTemplateElement",textarea:"HTMLTextAreaElement",thead:"HTMLTableSectionElement",time:"HTMLTimeElement",title:"HTMLTitleElement",tr:"HTMLTableRowElement",track:"HTMLTrackElement",ul:"HTMLUListElement",video:"HTMLVideoElement"};function overrideConstructor(tagName){var nativeConstructorName=elements[tagName];var nativeConstructor=window[nativeConstructorName];if(!nativeConstructor)return;var element=document.createElement(tagName);var wrapperConstructor=element.constructor;window[nativeConstructorName]=wrapperConstructor;} Object.keys(elements).forEach(overrideConstructor);Object.getOwnPropertyNames(scope.wrappers).forEach(function(name){window[name]=scope.wrappers[name];});})(window.ShadowDOMPolyfill);(function(scope){var ShadowCSS={strictStyling:false,registry:{},shimStyling:function(root,name,extendsName){var scopeStyles=this.prepareRoot(root,name,extendsName);var typeExtension=this.isTypeExtension(extendsName);var scopeSelector=this.makeScopeSelector(name,typeExtension);var cssText=stylesToCssText(scopeStyles,true);cssText=this.scopeCssText(cssText,scopeSelector);if(root){root.shimmedStyle=cssText;} this.addCssToDocument(cssText,name);},shimStyle:function(style,selector){return this.shimCssText(style.textContent,selector);},shimCssText:function(cssText,selector){cssText=this.insertDirectives(cssText);return this.scopeCssText(cssText,selector);},makeScopeSelector:function(name,typeExtension){if(name){return typeExtension?"[is="+name+"]":name;} return"";},isTypeExtension:function(extendsName){return extendsName&&extendsName.indexOf("-")<0;},prepareRoot:function(root,name,extendsName){var def=this.registerRoot(root,name,extendsName);this.replaceTextInStyles(def.rootStyles,this.insertDirectives);this.removeStyles(root,def.rootStyles);if(this.strictStyling){this.applyScopeToContent(root,name);} return def.scopeStyles;},removeStyles:function(root,styles){for(var i=0,l=styles.length,s;i","+","~"],scoped=selector,attrName="["+scopeSelector+"]";splits.forEach(function(sep){var parts=scoped.split(sep);scoped=parts.map(function(p){var t=p.trim().replace(polyfillHostRe,"");if(t&&splits.indexOf(t)<0&&t.indexOf(attrName)<0){p=t.replace(/([^:]*)(:*)(.*)/,"$1"+attrName+"$2$3");} return p;}).join(sep);});return scoped;},insertPolyfillHostInCssText:function(selector){return selector.replace(colonHostContextRe,polyfillHostContext).replace(colonHostRe,polyfillHost);},propertiesFromRule:function(rule){var cssText=rule.style.cssText;if(rule.style.content&&!rule.style.content.match(/['"]+|attr/)){cssText=cssText.replace(/content:[^;]*;/g,"content: '"+rule.style.content+"';");} var style=rule.style;for(var i in style){if(style[i]==="initial"){cssText+=i+": initial; ";}} return cssText;},replaceTextInStyles:function(styles,action){if(styles&&action){if(!(styles instanceof Array)){styles=[styles];} Array.prototype.forEach.call(styles,function(s){s.textContent=action.call(this,s.textContent);},this);}},addCssToDocument:function(cssText,name){if(cssText.match("@import")){addOwnSheet(cssText,name);}else{addCssToDocument(cssText);}}};var selectorRe=/([^{]*)({[\s\S]*?})/gim,cssCommentRe=/\/\*[^*]*\*+([^\/*][^*]*\*+)*\//gim,cssCommentNextSelectorRe=/\/\*\s*@polyfill ([^*]*\*+([^\/*][^*]*\*+)*\/)([^{]*?){/gim,cssContentNextSelectorRe=/polyfill-next-selector[^}]*content\:[\s]*?['"](.*?)['"][;\s]*}([^{]*?){/gim,cssCommentRuleRe=/\/\*\s@polyfill-rule([^*]*\*+([^\/*][^*]*\*+)*)\//gim,cssContentRuleRe=/(polyfill-rule)[^}]*(content\:[\s]*['"](.*?)['"])[;\s]*[^}]*}/gim,cssCommentUnscopedRuleRe=/\/\*\s@polyfill-unscoped-rule([^*]*\*+([^\/*][^*]*\*+)*)\//gim,cssContentUnscopedRuleRe=/(polyfill-unscoped-rule)[^}]*(content\:[\s]*['"](.*?)['"])[;\s]*[^}]*}/gim,cssPseudoRe=/::(x-[^\s{,(]*)/gim,cssPartRe=/::part\(([^)]*)\)/gim,polyfillHost="-shadowcsshost",polyfillHostContext="-shadowcsscontext",parenSuffix=")(?:\\(("+"(?:\\([^)(]*\\)|[^)(]*)+?"+")\\))?([^,{]*)";var cssColonHostRe=new RegExp("("+polyfillHost+parenSuffix,"gim"),cssColonHostContextRe=new 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i=0,n;i0){return~setTimeout(callback,waitTime);}else{this._twiddle.textContent=this._twiddleContent++;this._callbacks.push(callback);return this._currVal++;}},cancel:function(handle){if(handle<0){clearTimeout(~handle);}else{var idx=handle-this._lastVal;if(idx>=0){if(!this._callbacks[idx]){throw'invalid async handle: '+handle;} this._callbacks[idx]=null;}}},_atEndOfMicrotask:function(){var len=this._callbacks.length;for(var i=0;ilastIndex){parts.push({literal:text.slice(lastIndex,m.index)});} var mode=m[1][0];var negate=Boolean(m[2]);var value=m[3].trim();var customEvent,notifyEvent,colon;if(mode=='{'&&(colon=value.indexOf('::'))>0){notifyEvent=value.substring(colon+2);value=value.substring(0,colon);customEvent=true;} parts.push({compoundIndex:parts.length,value:value,mode:mode,negate:negate,event:notifyEvent,customEvent:customEvent});lastIndex=re.lastIndex;} if(lastIndex&&lastIndex-1;} var SUPPORTS_PASSIVE=false;(function(){try{var opts=Object.defineProperty({},'passive',{get:function(){SUPPORTS_PASSIVE=true;}});window.addEventListener('test',null,opts);window.removeEventListener('test',null,opts);}catch(e){}}());function PASSIVE_TOUCH(eventName){if(isMouseEvent(eventName)||eventName==='touchend'){return;} if(HAS_NATIVE_TA&&SUPPORTS_PASSIVE&&Polymer.Settings.passiveTouchGestures){return{passive:true};}} var IS_TOUCH_ONLY=navigator.userAgent.match(/iP(?:[oa]d|hone)|Android/);var mouseCanceller=function(mouseEvent){var sc=mouseEvent.sourceCapabilities;if(sc&&!sc.firesTouchEvents){return;} mouseEvent[HANDLED_OBJ]={skip:true};if(mouseEvent.type==='click'){var path=Polymer.dom(mouseEvent).path;if(path){for(var i=0;i=bcr.left&&x<=bcr.right&&(y>=bcr.top&&y<=bcr.bottom));} return false;} var POINTERSTATE={mouse:{target:null,mouseIgnoreJob:null},touch:{x:0,y:0,id:-1,scrollDecided:false}};function firstTouchAction(ev){var path=Polymer.dom(ev).path;var ta='auto';for(var i=0,n;i-1&&r.reset){r.reset();}}} for(i=0,r;idx;}else if(ta==='pan-y'){prevent=dx>dy;} if(prevent){ev.preventDefault();}else{Gestures.prevent('track');}}},add:function(node,evType,handler){node=wrap(node);var recognizer=this.gestures[evType];var deps=recognizer.deps;var name=recognizer.name;var gobj=node[GESTURE_KEY];if(!gobj){node[GESTURE_KEY]=gobj={};} for(var i=0,dep,gd;iTRACK_LENGTH){this.moves.shift();} this.moves.push(move);},movefn:null,upfn:null,prevent:false},reset:function(){this.info.state='start';this.info.started=false;this.info.moves=[];this.info.x=0;this.info.y=0;this.info.prevent=false;untrackDocument(this.info);},hasMovedEnough:function(x,y){if(this.info.prevent){return false;} if(this.info.started){return true;} var dx=Math.abs(this.info.x-x);var dy=Math.abs(this.info.y-y);return dx>=TRACK_DISTANCE||dy>=TRACK_DISTANCE;},mousedown:function(e){if(!hasLeftMouseButton(e)){return;} var t=Gestures.findOriginalTarget(e);var self=this;var movefn=function movefn(e){var x=e.clientX,y=e.clientY;if(self.hasMovedEnough(x,y)){self.info.state=self.info.started?e.type==='mouseup'?'end':'track':'start';if(self.info.state==='start'){Gestures.prevent('tap');} self.info.addMove({x:x,y:y});if(!hasLeftMouseButton(e)){self.info.state='end';untrackDocument(self.info);} self.fire(t,e);self.info.started=true;}};var upfn=function upfn(e){if(self.info.started){movefn(e);} untrackDocument(self.info);};trackDocument(this.info,movefn,upfn);this.info.x=e.clientX;this.info.y=e.clientY;},touchstart:function(e){var ct=e.changedTouches[0];this.info.x=ct.clientX;this.info.y=ct.clientY;},touchmove:function(e){var t=Gestures.findOriginalTarget(e);var ct=e.changedTouches[0];var x=ct.clientX,y=ct.clientY;if(this.hasMovedEnough(x,y)){if(this.info.state==='start'){Gestures.prevent('tap');} this.info.addMove({x:x,y:y});this.fire(t,ct);this.info.state='track';this.info.started=true;}},touchend:function(e){var t=Gestures.findOriginalTarget(e);var ct=e.changedTouches[0];if(this.info.started){this.info.state='end';this.info.addMove({x:ct.clientX,y:ct.clientY});this.fire(t,ct,e);}},fire:function(target,touch,preventer){var secondlast=this.info.moves[this.info.moves.length-2];var lastmove=this.info.moves[this.info.moves.length-1];var dx=lastmove.x-this.info.x;var dy=lastmove.y-this.info.y;var ddx,ddy=0;if(secondlast){ddx=lastmove.x-secondlast.x;ddy=lastmove.y-secondlast.y;} return Gestures.fire(target,'track',{state:this.info.state,x:touch.clientX,y:touch.clientY,dx:dx,dy:dy,ddx:ddx,ddy:ddy,sourceEvent:touch,preventer:preventer,hover:function(){return Gestures.deepTargetFind(touch.clientX,touch.clientY);}});}});Gestures.register({name:'tap',deps:['mousedown','click','touchstart','touchend'],flow:{start:['mousedown','touchstart'],end:['click','touchend']},emits:['tap'],info:{x:NaN,y:NaN,prevent:false},reset:function(){this.info.x=NaN;this.info.y=NaN;this.info.prevent=false;},save:function(e){this.info.x=e.clientX;this.info.y=e.clientY;},mousedown:function(e){if(hasLeftMouseButton(e)){this.save(e);}},click:function(e){if(hasLeftMouseButton(e)){this.forward(e);}},touchstart:function(e){this.save(e.changedTouches[0],e);},touchend:function(e){this.forward(e.changedTouches[0],e);},forward:function(e,preventer){var dx=Math.abs(e.clientX-this.info.x);var dy=Math.abs(e.clientY-this.info.y);var t=Gestures.findOriginalTarget(e);if(isNaN(dx)||isNaN(dy)||dx<=TAP_DISTANCE&&dy<=TAP_DISTANCE||isSyntheticClick(e)){if(!this.info.prevent){Gestures.fire(t,'tap',{x:e.clientX,y:e.clientY,sourceEvent:e,preventer:preventer});}}}});var DIRECTION_MAP={x:'pan-x',y:'pan-y',none:'none',all:'auto'};Polymer.Base._addFeature({_setupGestures:function(){this.__polymerGestures=null;},_listen:function(node,eventName,handler){if(Gestures.gestures[eventName]){Gestures.add(node,eventName,handler);}else{node.addEventListener(eventName,handler);}},_unlisten:function(node,eventName,handler){if(Gestures.gestures[eventName]){Gestures.remove(node,eventName,handler);}else{node.removeEventListener(eventName,handler);}},setScrollDirection:function(direction,node){node=node||this;Gestures.setTouchAction(node,DIRECTION_MAP[direction]||'auto');}});Polymer.Gestures=Gestures;}());(function(){'use strict';Polymer.Base._addFeature({$$:function(slctr){return Polymer.dom(this.root).querySelector(slctr);},toggleClass:function(name,bool,node){node=node||this;if(arguments.length==1){bool=!node.classList.contains(name);} if(bool){Polymer.dom(node).classList.add(name);}else{Polymer.dom(node).classList.remove(name);}},toggleAttribute:function(name,bool,node){node=node||this;if(arguments.length==1){bool=!node.hasAttribute(name);} if(bool){Polymer.dom(node).setAttribute(name,'');}else{Polymer.dom(node).removeAttribute(name);}},classFollows:function(name,toElement,fromElement){if(fromElement){Polymer.dom(fromElement).classList.remove(name);} if(toElement){Polymer.dom(toElement).classList.add(name);}},attributeFollows:function(name,toElement,fromElement){if(fromElement){Polymer.dom(fromElement).removeAttribute(name);} if(toElement){Polymer.dom(toElement).setAttribute(name,'');}},getEffectiveChildNodes:function(){return Polymer.dom(this).getEffectiveChildNodes();},getEffectiveChildren:function(){var list=Polymer.dom(this).getEffectiveChildNodes();return list.filter(function(n){return n.nodeType===Node.ELEMENT_NODE;});},getEffectiveTextContent:function(){var cn=this.getEffectiveChildNodes();var tc=[];for(var i=0,c;c=cn[i];i++){if(c.nodeType!==Node.COMMENT_NODE){tc.push(Polymer.dom(c).textContent);}} return tc.join('');},queryEffectiveChildren:function(slctr){var e$=Polymer.dom(this).queryDistributedElements(slctr);return e$&&e$[0];},queryAllEffectiveChildren:function(slctr){return Polymer.dom(this).queryDistributedElements(slctr);},getContentChildNodes:function(slctr){var content=Polymer.dom(this.root).querySelector(slctr||'content');return content?Polymer.dom(content).getDistributedNodes():[];},getContentChildren:function(slctr){return this.getContentChildNodes(slctr).filter(function(n){return n.nodeType===Node.ELEMENT_NODE;});},fire:function(type,detail,options){options=options||Polymer.nob;var node=options.node||this;detail=detail===null||detail===undefined?{}:detail;var bubbles=options.bubbles===undefined?true:options.bubbles;var cancelable=Boolean(options.cancelable);var useCache=options._useCache;var event=this._getEvent(type,bubbles,cancelable,useCache);event.detail=detail;if(useCache){this.__eventCache[type]=null;} node.dispatchEvent(event);if(useCache){this.__eventCache[type]=event;} return event;},__eventCache:{},_getEvent:function(type,bubbles,cancelable,useCache){var event=useCache&&this.__eventCache[type];if(!event||(event.bubbles!=bubbles||event.cancelable!=cancelable)){event=new Event(type,{bubbles:Boolean(bubbles),cancelable:cancelable});} return event;},async:function(callback,waitTime){var self=this;return Polymer.Async.run(function(){callback.call(self);},waitTime);},cancelAsync:function(handle){Polymer.Async.cancel(handle);},arrayDelete:function(path,item){var index;if(Array.isArray(path)){index=path.indexOf(item);if(index>=0){return path.splice(index,1);}}else{var arr=this._get(path);index=arr.indexOf(item);if(index>=0){return this.splice(path,index,1);}}},transform:function(transform,node){node=node||this;node.style.webkitTransform=transform;node.style.transform=transform;},translate3d:function(x,y,z,node){node=node||this;this.transform('translate3d('+x+','+y+','+z+')',node);},importHref:function(href,onload,onerror,optAsync){var link=document.createElement('link');link.rel='import';link.href=href;var list=Polymer.Base.importHref.imported=Polymer.Base.importHref.imported||{};var cached=list[link.href];var imprt=cached||link;var self=this;var loadListener=function(e){e.target.__firedLoad=true;e.target.removeEventListener('load',loadListener);e.target.removeEventListener('error',errorListener);return onload.call(self,e);};var errorListener=function(e){e.target.__firedError=true;e.target.removeEventListener('load',loadListener);e.target.removeEventListener('error',errorListener);return onerror.call(self,e);};if(onload){imprt.addEventListener('load',loadListener);} if(onerror){imprt.addEventListener('error',errorListener);} if(cached){if(cached.__firedLoad){cached.dispatchEvent(new Event('load'));} if(cached.__firedError){cached.dispatchEvent(new Event('error'));}}else{list[link.href]=link;optAsync=Boolean(optAsync);if(optAsync){link.setAttribute('async','');} document.head.appendChild(link);} return imprt;},create:function(tag,props){var elt=document.createElement(tag);if(props){for(var n in props){elt[n]=props[n];}} return elt;},isLightDescendant:function(node){return this!==node&&this.contains(node)&&Polymer.dom(this).getOwnerRoot()===Polymer.dom(node).getOwnerRoot();},isLocalDescendant:function(node){return this.root===Polymer.dom(node).getOwnerRoot();}});if(!Polymer.Settings.useNativeCustomElements){var importHref=Polymer.Base.importHref;Polymer.Base.importHref=function(href,onload,onerror,optAsync){CustomElements.ready=false;var loadFn=function(e){CustomElements.upgradeDocumentTree(document);CustomElements.ready=true;if(onload){return onload.call(this,e);}};return importHref.call(this,href,loadFn,onerror,optAsync);};}}());Polymer.Bind={prepareModel:function(model){Polymer.Base.mixin(model,this._modelApi);},_modelApi:{_notifyChange:function(source,event,value){value=value===undefined?this[source]:value;event=event||Polymer.CaseMap.camelToDashCase(source)+'-changed';this.fire(event,{value:value},{bubbles:false,cancelable:false,_useCache:Polymer.Settings.eventDataCache||!Polymer.Settings.isIE});},_propertySetter:function(property,value,effects,fromAbove){var old=this.__data__[property];if(old!==value&&(old===old||value===value)){this.__data__[property]=value;if(typeof value=='object'){this._clearPath(property);} if(this._propertyChanged){this._propertyChanged(property,value,old);} if(effects){this._effectEffects(property,value,effects,old,fromAbove);}} return old;},__setProperty:function(property,value,quiet,node){node=node||this;var effects=node._propertyEffects&&node._propertyEffects[property];if(effects){node._propertySetter(property,value,effects,quiet);}else if(node[property]!==value){node[property]=value;}},_effectEffects:function(property,value,effects,old,fromAbove){for(var i=0,l=effects.length,fx;i1||effect.dynamicFn;for(var i=0,l=args.length;i='0'&&fc<='9'){fc='#';} switch(fc){case'\'':case'"':a.value=arg.slice(1,-1);a.literal=true;break;case'#':a.value=Number(arg);a.literal=true;break;} if(!a.literal){a.model=Polymer.Path.root(arg);a.structured=Polymer.Path.isDeep(arg);if(a.structured){a.wildcard=arg.slice(-2)=='.*';if(a.wildcard){a.name=arg.slice(0,-2);}}} return a;},_marshalInstanceEffects:function(){Polymer.Bind.prepareInstance(this);if(this._bindListeners){Polymer.Bind.setupBindListeners(this);}},_applyEffectValue:function(info,value){var node=this._nodes[info.index];var property=info.name;value=this._computeFinalAnnotationValue(node,property,value,info);if(info.kind=='attribute'){this.serializeValueToAttribute(value,property,node);}else{var pinfo=node._propertyInfo&&node._propertyInfo[property];if(pinfo&&pinfo.readOnly){return;} this.__setProperty(property,value,Polymer.Settings.suppressBindingNotifications,node);}},_computeFinalAnnotationValue:function(node,property,value,info){if(info.negate){value=!value;} if(info.isCompound){var storage=node.__compoundStorage__[property];storage[info.compoundIndex]=value;value=storage.join('');} if(info.kind!=='attribute'){if(property==='className'){value=this._scopeElementClass(node,value);} if(property==='textContent'||node.localName=='input'&&property=='value'){value=value==undefined?'':value;}} return value;},_executeStaticEffects:function(){if(this._propertyEffects&&this._propertyEffects.__static__){this._effectEffects('__static__',null,this._propertyEffects.__static__);}}});(function(){var usePolyfillProto=Polymer.Settings.usePolyfillProto;var avoidInstanceProperties=Boolean(Object.getOwnPropertyDescriptor(document.documentElement,'properties'));Polymer.Base._addFeature({_setupConfigure:function(initialConfig){this._config={};this._handlers=[];this._aboveConfig=null;if(initialConfig){for(var i in initialConfig){if(initialConfig[i]!==undefined){this._config[i]=initialConfig[i];}}}},_marshalAttributes:function(){this._takeAttributesToModel(this._config);},_attributeChangedImpl:function(name){var model=this._clientsReadied?this:this._config;this._setAttributeToProperty(model,name);},_configValue:function(name,value){var info=this._propertyInfo[name];if(!info||!info.readOnly){this._config[name]=value;}},_beforeClientsReady:function(){this._configure();},_configure:function(){this._configureAnnotationReferences();this._configureInstanceProperties();this._aboveConfig=this.mixin({},this._config);var config={};for(var i=0;i1){for(var i=0;i+~])'},resolveCss:Polymer.ResolveUrl.resolveCss,parser:Polymer.CssParse,ruleTypes:Polymer.CssParse.types};}();Polymer.StyleTransformer=function(){var styleUtil=Polymer.StyleUtil;var settings=Polymer.Settings;var api={dom:function(node,scope,useAttr,shouldRemoveScope){this._transformDom(node,scope||'',useAttr,shouldRemoveScope);},_transformDom:function(node,selector,useAttr,shouldRemoveScope){if(node.setAttribute){this.element(node,selector,useAttr,shouldRemoveScope);} var c$=Polymer.dom(node).childNodes;for(var i=0;i *');rule.selector=self._dirShadowTransform(rule.selector);if(callback){callback(rule);}};} for(var i=0,l=styles.length,s;i=0&&i *');selector=selector.replace(CONTENT_START,HOST+' $1');selector=this._ensureScopedDir(selector);selector=selector.replace(SIMPLE_SELECTOR_SEP,function(m,c,s){if(!stop){var info=self._transformCompoundSelector(s,c,scope,hostScope);stop=stop||info.stop;hostContext=hostContext||info.hostContext;dir=dir||info.dir;c=info.combinator;s=info.value;}else{s=s.replace(SCOPE_JUMP,' ');} return c+s;});if(hostContext){selector=selector.replace(HOST_CONTEXT_PAREN,function(m,pre,paren,post){var replacement=pre+paren+' '+hostScope+post+COMPLEX_SELECTOR_SEP+' '+pre+hostScope+paren+post;if(dir){replacement+=self._additionalDirSelectors(paren,post,hostScope);} return replacement;});} return selector;},_transformDir:function(s){s=s.replace(HOST_DIR,HOST_DIR_REPLACE);s=s.replace(DIR_PAREN,DIR_REPLACE);return s;},_transformCompoundSelector:function(selector,combinator,scope,hostScope){var jumpIndex=selector.search(SCOPE_JUMP);var hostContext=false;var dir=false;if(selector.match(DIR_PAREN)){selector=this._transformDir(selector);dir=true;} if(selector.indexOf(HOST_CONTEXT)>=0){hostContext=true;}else if(selector.indexOf(HOST)>=0){selector=this._transformHostSelector(selector,hostScope);}else if(jumpIndex!==0){selector=scope?this._transformSimpleSelector(selector,scope):selector;} if(selector.indexOf(CONTENT)>=0){combinator='';} var stop;if(jumpIndex>=0){selector=selector.replace(SCOPE_JUMP,' ');stop=true;} return{value:selector,combinator:combinator,stop:stop,hostContext:hostContext,dir:dir};},_transformSimpleSelector:function(selector,scope){var p$=selector.split(PSEUDO_PREFIX);p$[0]+=scope;return p$.join(PSEUDO_PREFIX);},_transformHostSelector:function(selector,hostScope){var m=selector.match(HOST_PAREN);var paren=m&&m[2].trim()||'';if(paren){if(!paren[0].match(SIMPLE_SELECTOR_PREFIX)){var typeSelector=paren.split(SIMPLE_SELECTOR_PREFIX)[0];if(typeSelector===hostScope){return paren;}else{return SELECTOR_NO_MATCH;}}else{return selector.replace(HOST_PAREN,function(m,host,paren){return hostScope+paren;});}}else{return selector.replace(HOST,hostScope);}},documentRule:function(rule){rule.selector=rule.parsedSelector;this.normalizeRootSelector(rule);if(!settings.useNativeShadow){this._transformRule(rule,this._transformDocumentSelector);}},normalizeRootSelector:function(rule){rule.selector=rule.selector.replace(ROOT,'html');var parts=this._splitSelectorList(rule.selector);parts=parts.filter(function(part){return!part.match(HOST_OR_HOST_GT_STAR);});rule.selector=parts.join(COMPLEX_SELECTOR_SEP);},_transformDocumentSelector:function(selector){return this._transformComplexSelector(selector,SCOPE_DOC_SELECTOR);},_slottedToContent:function(cssText){return cssText.replace(SLOTTED_PAREN,CONTENT+'> $1');},_dirShadowTransform:function(selector){if(!selector.match(/:dir\(/)){return selector;} return this._splitSelectorList(selector).map(function(s){s=this._ensureScopedDir(s);s=this._transformDir(s);var m=HOST_CONTEXT_PAREN.exec(s);if(m){s+=this._additionalDirSelectors(m[2],m[3],'');} return s;},this).join(COMPLEX_SELECTOR_SEP);},SCOPE_NAME:'style-scope'};var SCOPE_NAME=api.SCOPE_NAME;var SCOPE_DOC_SELECTOR=':not(['+SCOPE_NAME+'])'+':not(.'+SCOPE_NAME+')';var COMPLEX_SELECTOR_SEP=',';var SIMPLE_SELECTOR_SEP=/(^|[\s>+~]+)((?:\[.+?\]|[^\s>+~=\[])+)/g;var SIMPLE_SELECTOR_PREFIX=/[[.:#*]/;var HOST=':host';var ROOT=':root';var HOST_PAREN=/(:host)(?:\(((?:\([^)(]*\)|[^)(]*)+?)\))/;var HOST_CONTEXT=':host-context';var HOST_CONTEXT_PAREN=/(.*)(?::host-context)(?:\(((?:\([^)(]*\)|[^)(]*)+?)\))(.*)/;var CONTENT='::content';var SCOPE_JUMP=/::content|::shadow|\/deep\//;var CSS_CLASS_PREFIX='.';var CSS_ATTR_PREFIX='['+SCOPE_NAME+'~=';var CSS_ATTR_SUFFIX=']';var PSEUDO_PREFIX=':';var CLASS='class';var CONTENT_START=new RegExp('^('+CONTENT+')');var SELECTOR_NO_MATCH='should_not_match';var SLOTTED_PAREN=/(?:::slotted)(?:\(((?:\([^)(]*\)|[^)(]*)+?)\))/g;var HOST_OR_HOST_GT_STAR=/:host(?:\s*>\s*\*)?/;var DIR_PAREN=/(.*):dir\((ltr|rtl)\)/;var DIR_REPLACE=':host-context([dir="$2"]) $1';var HOST_DIR=/:host\(:dir\((rtl|ltr)\)\)/g;var HOST_DIR_REPLACE=':host-context([dir="$1"])';return api;}();Polymer.StyleExtends=function(){var styleUtil=Polymer.StyleUtil;return{hasExtends:function(cssText){return Boolean(cssText.match(this.rx.EXTEND));},transform:function(style){var rules=styleUtil.rulesForStyle(style);var self=this;styleUtil.forEachRule(rules,function(rule){self._mapRuleOntoParent(rule);if(rule.parent){var m;while(m=self.rx.EXTEND.exec(rule.cssText)){var extend=m[1];var extendor=self._findExtendor(extend,rule);if(extendor){self._extendRule(rule,extendor);}}} rule.cssText=rule.cssText.replace(self.rx.EXTEND,'');});return styleUtil.toCssText(rules,function(rule){if(rule.selector.match(self.rx.STRIP)){rule.cssText='';}},true);},_mapRuleOntoParent:function(rule){if(rule.parent){var map=rule.parent.map||(rule.parent.map={});var parts=rule.selector.split(',');for(var i=0,p;i1){property=sp[0].trim();value=replaceInitialOrInherit(property,sp.slice(1).join(':'));out[property]=value;}}} return out;} function invalidateMixinEntry(mixinEntry){var currentProto=ApplyShim.__currentElementProto;var currentElementName=currentProto&¤tProto.is;for(var elementName in mixinEntry.dependants){if(elementName!==currentElementName){mixinEntry.dependants[elementName].__applyShimInvalid=true;}}} function produceCssProperties(matchText,propertyName,valueProperty,valueMixin){if(valueProperty){styleUtil.processVariableAndFallback(valueProperty,function(prefix,value){if(value&&mapGet(value)){valueMixin='@apply '+value+';';}});} if(!valueMixin){return matchText;} var mixinAsProperties=consumeCssProperties(valueMixin);var prefix=matchText.slice(0,matchText.indexOf('--'));var mixinValues=cssTextToMap(mixinAsProperties);var combinedProps=mixinValues;var mixinEntry=mapGet(propertyName);var oldProps=mixinEntry&&mixinEntry.properties;if(oldProps){combinedProps=Object.create(oldProps);combinedProps=Polymer.Base.mixin(combinedProps,mixinValues);}else{mapSet(propertyName,combinedProps);} var out=[];var p,v;var needToInvalidate=false;for(p in combinedProps){v=mixinValues[p];if(v===undefined){v='initial';} if(oldProps&&!(p in oldProps)){needToInvalidate=true;} out.push(propertyName+MIXIN_VAR_SEP+p+': '+v);} if(needToInvalidate){invalidateMixinEntry(mixinEntry);} if(mixinEntry){mixinEntry.properties=combinedProps;} if(valueProperty){prefix=matchText+';'+prefix;} return prefix+out.join('; ')+';';} function fixVars(matchText,varA,varB){return'var('+varA+','+'var('+varB+'))';} function atApplyToCssProperties(mixinName,fallbacks){mixinName=mixinName.replace(APPLY_NAME_CLEAN,'');var vars=[];var mixinEntry=mapGet(mixinName);if(!mixinEntry){mapSet(mixinName,{});mixinEntry=mapGet(mixinName);} if(mixinEntry){var currentProto=ApplyShim.__currentElementProto;if(currentProto){mixinEntry.dependants[currentProto.is]=currentProto;} var p,parts,f;for(p in mixinEntry.properties){f=fallbacks&&fallbacks[p];parts=[p,': var(',mixinName,MIXIN_VAR_SEP,p];if(f){parts.push(',',f);} parts.push(')');vars.push(parts.join(''));}} return vars.join('; ');} function consumeCssProperties(text){var m;while(m=MIXIN_MATCH.exec(text)){var matchText=m[0];var mixinName=m[1];var idx=m.index;var applyPos=idx+matchText.indexOf('@apply');var afterApplyPos=idx+matchText.length;var textBeforeApply=text.slice(0,applyPos);var textAfterApply=text.slice(afterApplyPos);var defaults=cssTextToMap(textBeforeApply);var replacement=atApplyToCssProperties(mixinName,defaults);text=[textBeforeApply,replacement,textAfterApply].join('');MIXIN_MATCH.lastIndex=idx+replacement.length;} return text;} var ApplyShim={_measureElement:null,_map:mixinMap,_separator:MIXIN_VAR_SEP,transform:function(styles,elementProto){this.__currentElementProto=elementProto;styleUtil.forRulesInStyles(styles,this._boundFindDefinitions);styleUtil.forRulesInStyles(styles,this._boundFindApplications);if(elementProto){elementProto.__applyShimInvalid=false;} this.__currentElementProto=null;},_findDefinitions:function(rule){var cssText=rule.parsedCssText;cssText=cssText.replace(BAD_VAR,fixVars);cssText=cssText.replace(VAR_ASSIGN,produceCssProperties);rule.cssText=cssText;if(rule.selector===':root'){rule.selector=':host > *';}},_findApplications:function(rule){rule.cssText=consumeCssProperties(rule.cssText);},transformRule:function(rule){this._findDefinitions(rule);this._findApplications(rule);},_getInitialValueForProperty:function(property){if(!this._measureElement){this._measureElement=document.createElement('meta');this._measureElement.style.all='initial';document.head.appendChild(this._measureElement);} return window.getComputedStyle(this._measureElement).getPropertyValue(property);}};ApplyShim._boundTransformRule=ApplyShim.transformRule.bind(ApplyShim);ApplyShim._boundFindDefinitions=ApplyShim._findDefinitions.bind(ApplyShim);ApplyShim._boundFindApplications=ApplyShim._findApplications.bind(ApplyShim);return ApplyShim;}();(function(){var prepElement=Polymer.Base._prepElement;var nativeShadow=Polymer.Settings.useNativeShadow;var styleUtil=Polymer.StyleUtil;var styleTransformer=Polymer.StyleTransformer;var styleExtends=Polymer.StyleExtends;var applyShim=Polymer.ApplyShim;var settings=Polymer.Settings;Polymer.Base._addFeature({_prepElement:function(element){if(this._encapsulateStyle&&this.__cssBuild!=='shady'){styleTransformer.element(element,this.is,this._scopeCssViaAttr);} prepElement.call(this,element);},_prepStyles:function(){if(this._encapsulateStyle===undefined){this._encapsulateStyle=!nativeShadow;} if(!nativeShadow){this._scopeStyle=styleUtil.applyStylePlaceHolder(this.is);} this.__cssBuild=styleUtil.cssBuildTypeForModule(this.is);},_prepShimStyles:function(){if(this._template){var hasTargetedCssBuild=styleUtil.isTargetedBuild(this.__cssBuild);if(settings.useNativeCSSProperties&&this.__cssBuild==='shadow'&&hasTargetedCssBuild){if(settings.preserveStyleIncludes){styleUtil.styleIncludesToTemplate(this._template);} return;} this._styles=this._styles||this._collectStyles();if(settings.useNativeCSSProperties&&!this.__cssBuild){applyShim.transform(this._styles,this);} var cssText=settings.useNativeCSSProperties&&hasTargetedCssBuild?this._styles.length&&this._styles[0].textContent.trim():styleTransformer.elementStyles(this);this._prepStyleProperties();if(!this._needsStyleProperties()&&cssText){styleUtil.applyCss(cssText,this.is,nativeShadow?this._template.content:null,this._scopeStyle);}}else{this._styles=[];}},_collectStyles:function(){var styles=[];var cssText='',m$=this.styleModules;if(m$){for(var i=0,l=m$.length,m;i=0){property=this.valueForProperties(property,props);}else{var self=this;var fn=function(prefix,value,fallback,suffix){var propertyValue=self.valueForProperty(props[value],props);if(!propertyValue||propertyValue==='initial'){propertyValue=self.valueForProperty(props[fallback]||fallback,props)||fallback;}else if(propertyValue==='apply-shim-inherit'){propertyValue='inherit';} return prefix+(propertyValue||'')+suffix;};property=styleUtil.processVariableAndFallback(property,fn);}} return property&&property.trim()||'';},valueForProperties:function(property,props){var parts=property.split(';');for(var i=0,p,m;i\s*\*/,_checkRoot:function(hostScope,selector){return Boolean(selector.match(this._rootSelector))||hostScope==='html'&&selector.indexOf('html')>-1;},whenHostOrRootRule:function(scope,rule,style,callback){if(!rule.propertyInfo){self.decorateRule(rule);} if(!rule.propertyInfo.properties){return;} var hostScope=scope.is?styleTransformer._calcHostScope(scope.is,scope.extends):'html';var parsedSelector=rule.parsedSelector;var isRoot=this._checkRoot(hostScope,parsedSelector);var isHost=!isRoot&&parsedSelector.indexOf(':host')===0;var cssBuild=scope.__cssBuild||style.__cssBuild;if(cssBuild==='shady'){isRoot=parsedSelector===hostScope+' > *.'+hostScope||parsedSelector.indexOf('html')>-1;isHost=!isRoot&&parsedSelector.indexOf(hostScope)===0;} if(!isRoot&&!isHost){return;} var selectorToMatch=hostScope;if(isHost){if(settings.useNativeShadow&&!rule.transformedSelector){rule.transformedSelector=styleTransformer._transformRuleCss(rule,styleTransformer._transformComplexSelector,scope.is,hostScope);} selectorToMatch=rule.transformedSelector||rule.parsedSelector;} if(isRoot&&hostScope==='html'){selectorToMatch=rule.transformedSelector||rule.parsedSelector;} callback({selector:selectorToMatch,isHost:isHost,isRoot:isRoot});},hostAndRootPropertiesForScope:function(scope){var hostProps={},rootProps={},self=this;styleUtil.forActiveRulesInStyles(scope._styles,function(rule,style){self.whenHostOrRootRule(scope,rule,style,function(info){var element=scope._element||scope;if(matchesSelector.call(element,info.selector)){if(info.isHost){self.collectProperties(rule,hostProps);}else{self.collectProperties(rule,rootProps);}}});});return{rootProps:rootProps,hostProps:hostProps};},transformStyles:function(element,properties,scopeSelector){var self=this;var hostSelector=styleTransformer._calcHostScope(element.is,element.extends);var rxHostSelector=element.extends?'\\'+hostSelector.slice(0,-1)+'\\]':hostSelector;var hostRx=new RegExp(this.rx.HOST_PREFIX+rxHostSelector+this.rx.HOST_SUFFIX);var keyframeTransforms=this._elementKeyframeTransforms(element,scopeSelector);return styleTransformer.elementStyles(element,function(rule){self.applyProperties(rule,properties);if(!settings.useNativeShadow&&!Polymer.StyleUtil.isKeyframesSelector(rule)&&rule.cssText){self.applyKeyframeTransforms(rule,keyframeTransforms);self._scopeSelector(rule,hostRx,hostSelector,element._scopeCssViaAttr,scopeSelector);}});},_elementKeyframeTransforms:function(element,scopeSelector){var keyframesRules=element._styles._keyframes;var keyframeTransforms={};if(!settings.useNativeShadow&&keyframesRules){for(var i=0,keyframesRule=keyframesRules[i];i-1){style.textContent=cssText;} styleUtil.applyStyle(style,null,element._scopeStyle);}} if(style){style._useCount=style._useCount||0;if(element._customStyle!=style){style._useCount++;} element._customStyle=style;} return style;},mixinCustomStyle:function(props,customStyle){var v;for(var i in customStyle){v=customStyle[i];if(v||v===0){props[i]=v;}}},updateNativeStyleProperties:function(element,properties){var oldPropertyNames=element.__customStyleProperties;if(oldPropertyNames){for(var i=0;ithis.MAX){s$.shift();}},retrieve:function(is,keyValues,keyStyles){var cache=this.cache[is];if(cache){for(var i=cache.length-1,data;i>=0;i--){data=cache[i];if(keyStyles===data.styles&&this._objectsEqual(keyValues,data.keyValues)){return data;}}}},clear:function(){this.cache={};},_objectsEqual:function(target,source){var t,s;for(var i in target){t=target[i],s=source[i];if(!(typeof t==='object'&&t?this._objectsStrictlyEqual(t,s):t===s)){return false;}} if(Array.isArray(target)){return target.length===source.length;} return true;},_objectsStrictlyEqual:function(target,source){return this._objectsEqual(target,source)&&this._objectsEqual(source,target);}};}());Polymer.StyleDefaults=function(){var styleProperties=Polymer.StyleProperties;var StyleCache=Polymer.StyleCache;var nativeVariables=Polymer.Settings.useNativeCSSProperties;var api={_styles:[],_properties:null,customStyle:{},_styleCache:new StyleCache(),_element:Polymer.DomApi.wrap(document.documentElement),addStyle:function(style){this._styles.push(style);this._properties=null;},get _styleProperties(){if(!this._properties){styleProperties.decorateStyles(this._styles,this);this._styles._scopeStyleProperties=null;this._properties=styleProperties.hostAndRootPropertiesForScope(this).rootProps;styleProperties.mixinCustomStyle(this._properties,this.customStyle);styleProperties.reify(this._properties);} return this._properties;},hasStyleProperties:function(){return Boolean(this._properties);},_needsStyleProperties:function(){},_computeStyleProperties:function(){return this._styleProperties;},updateStyles:function(properties){this._properties=null;if(properties){Polymer.Base.mixin(this.customStyle,properties);} this._styleCache.clear();for(var i=0,s;i0){added.push(key);}} return[{removed:removed,added:added}];}};Polymer.Collection.get=function(userArray){return Polymer._collections.get(userArray)||new Polymer.Collection(userArray);};Polymer.Collection.applySplices=function(userArray,splices){var coll=Polymer._collections.get(userArray);return coll?coll._applySplices(splices):null;};Polymer({is:'dom-repeat',extends:'template',_template:null,properties:{items:{type:Array},as:{type:String,value:'item'},indexAs:{type:String,value:'index'},sort:{type:Function,observer:'_sortChanged'},filter:{type:Function,observer:'_filterChanged'},observe:{type:String,observer:'_observeChanged'},delay:Number,renderedItemCount:{type:Number,notify:!Polymer.Settings.suppressTemplateNotifications,readOnly:true},initialCount:{type:Number,observer:'_initializeChunking'},targetFramerate:{type:Number,value:20},notifyDomChange:{type:Boolean},_targetFrameTime:{type:Number,computed:'_computeFrameTime(targetFramerate)'}},behaviors:[Polymer.Templatizer],observers:['_itemsChanged(items.*)'],created:function(){this._instances=[];this._pool=[];this._limit=Infinity;var self=this;this._boundRenderChunk=function(){self._renderChunk();};},detached:function(){this.__isDetached=true;for(var i=0;i=0;i--){var inst=this._instances[i];if(inst.isPlaceholder&&i=this._limit){inst=this._downgradeInstance(i,inst.__key__);} keyToIdx[inst.__key__]=i;if(!inst.isPlaceholder){inst.__setProperty(this.indexAs,i,true);}} this._pool.length=0;this._setRenderedItemCount(this._instances.length);if(!Polymer.Settings.suppressTemplateNotifications||this.notifyDomChange){this.fire('dom-change');} this._tryRenderChunk();},_applyFullRefresh:function(){var c=this.collection;var keys;if(this._sortFn){keys=c?c.getKeys():[];}else{keys=[];var items=this.items;if(items){for(var i=0;i=i;j--){this._detachAndRemoveInstance(j);}},_numericSort:function(a,b){return a-b;},_applySplicesUserSort:function(splices){var c=this.collection;var keyMap={};var key;for(var i=0,s;i=0;i--){var idx=removedIdxs[i];if(idx!==undefined){this._detachAndRemoveInstance(idx);}}} var self=this;if(addedKeys.length){if(this._filterFn){addedKeys=addedKeys.filter(function(a){return self._filterFn(c.getItem(a));});} addedKeys.sort(function(a,b){return self._sortFn(c.getItem(a),c.getItem(b));});var start=0;for(i=0;i>1;var midKey=this._instances[mid].__key__;var cmp=this._sortFn(c.getItem(midKey),item);if(cmp<0){start=mid+1;}else if(cmp>0){end=mid-1;}else{idx=mid;break;}} if(idx<0){idx=end+1;} this._insertPlaceholder(idx,key);return idx;},_applySplicesArrayOrder:function(splices){for(var i=0,s;i=0){path=this.as+'.'+path.substring(dot+1);inst._notifyPath(path,value,true);}else{inst.__setProperty(this.as,value,true);}}}},itemForElement:function(el){var instance=this.modelForElement(el);return instance&&instance[this.as];},keyForElement:function(el){var instance=this.modelForElement(el);return instance&&instance.__key__;},indexForElement:function(el){var instance=this.modelForElement(el);return instance&&instance[this.indexAs];}});Polymer({is:'array-selector',_template:null,properties:{items:{type:Array,observer:'clearSelection'},multi:{type:Boolean,value:false,observer:'clearSelection'},selected:{type:Object,notify:true},selectedItem:{type:Object,notify:true},toggle:{type:Boolean,value:false}},clearSelection:function(){if(Array.isArray(this.selected)){for(var i=0;i