[ { "path": ".devcontainer/Dockerfile", "content": "# See here for image contents: https://github.com/microsoft/vscode-dev-containers/tree/v0.238.0/containers/cpp/.devcontainer/base.Dockerfile\n\n# [Choice] Debian / Ubuntu version (use Debian 11, Ubuntu 18.04/22.04 on local arm64/Apple Silicon): debian-11, debian-10, ubuntu-22.04, ubuntu-20.04, ubuntu-18.04\nARG VARIANT=\"bullseye\"\nFROM mcr.microsoft.com/vscode/devcontainers/cpp:0-${VARIANT}\n\n# [Optional] Install CMake version different from what base image has already installed.\n# CMake reinstall choices: none, 3.21.5, 3.22.2, or versions from https://cmake.org/download/\nARG REINSTALL_CMAKE_VERSION_FROM_SOURCE=\"none\"\n\n# Optionally install the cmake for vcpkg\nCOPY ./reinstall-cmake.sh /tmp/\nRUN if [ \"${REINSTALL_CMAKE_VERSION_FROM_SOURCE}\" != \"none\" ]; then \\\n chmod +x /tmp/reinstall-cmake.sh && /tmp/reinstall-cmake.sh ${REINSTALL_CMAKE_VERSION_FROM_SOURCE}; \\\n fi \\\n && rm -f /tmp/reinstall-cmake.sh\n\n# [Optional] Uncomment this section to install additional vcpkg ports.\n# RUN su vscode -c \"${VCPKG_ROOT}/vcpkg install \"\n\n# [Optional] Uncomment this section to install additional packages.\n# RUN apt-get update && export DEBIAN_FRONTEND=noninteractive \\\n# && apt-get -y install --no-install-recommends \n" }, { "path": ".devcontainer/devcontainer.json", "content": "// For format details, see https://aka.ms/devcontainer.json. For config options, see the README at:\n// https://github.com/microsoft/vscode-dev-containers/tree/v0.238.0/containers/cpp\n{\n\t\"name\": \"C++\",\n\t\"build\": {\n\t\t\"dockerfile\": \"Dockerfile\",\n\t\t// Update 'VARIANT' to pick an Debian / Ubuntu OS version: debian-11, debian-10, ubuntu-22.04, ubuntu-20.04, ubuntu-18.04\n\t\t// Use Debian 11, Ubuntu 18.04 or Ubuntu 22.04 on local arm64/Apple Silicon\n\t\t\"args\": { \"VARIANT\": \"ubuntu-22.04\" }\n\t},\n\t\"runArgs\": [\"--cap-add=SYS_PTRACE\", \"--security-opt\", \"seccomp=unconfined\"],\n\n\t// Configure tool-specific properties.\n\t\"customizations\": {\n\t\t// Configure properties specific to VS Code.\n\t\t\"vscode\": {\n\t\t\t// Add the IDs of extensions you want installed when the container is created.\n\t\t\t\"extensions\": [\n\t\t\t\t\"benjamin-simmonds.pythoncpp-debug\",\n\t\t\t\t\"eamodio.gitlens\",\n\t\t\t\t\"ms-python.python\",\n\t\t\t\t\"ms-python.vscode-pylance\",\n\t\t\t\t\"ms-vscode.cmake-tools\",\n\t\t\t\t\"ms-vscode.cpptools\",\n\t\t\t\t\"samuelcolvin.jinjahtml\",\n\t\t\t\t\"xr0master.webstorm-intellij-darcula-theme\"\n\t\t\t]\n\t\t}\n\t},\n\n\t// Use 'forwardPorts' to make a list of ports inside the container available locally.\n\t// \"forwardPorts\": [],\n\n\t// Use 'postCreateCommand' to run commands after the container is created.\n\t// \"postCreateCommand\": \"gcc -v\",\n\n\t// Comment out to connect as root instead. More info: https://aka.ms/vscode-remote/containers/non-root.\n\t\"remoteUser\": \"vscode\",\n\t\"features\": {\n\t\t\"git\": \"latest\",\n\t\t\"github-cli\": \"latest\",\n\t\t\"sshd\": \"latest\",\n\t\t\"node\": \"16\",\n\t\t\"python\": \"3.10\"\n\t}\n}\n" }, { "path": ".devcontainer/reinstall-cmake.sh", "content": "#!/usr/bin/env bash\n#-------------------------------------------------------------------------------------------------------------\n# Copyright (c) Microsoft Corporation. All rights reserved.\n# Licensed under the MIT License. See https://go.microsoft.com/fwlink/?linkid=2090316 for license information.\n#-------------------------------------------------------------------------------------------------------------\n#\nset -e\n\nCMAKE_VERSION=${1:-\"none\"}\n\nif [ \"${CMAKE_VERSION}\" = \"none\" ]; then\n echo \"No CMake version specified, skipping CMake reinstallation\"\n exit 0\nfi\n\n# Cleanup temporary directory and associated files when exiting the script.\ncleanup() {\n EXIT_CODE=$?\n set +e\n if [[ -n \"${TMP_DIR}\" ]]; then\n echo \"Executing cleanup of tmp files\"\n rm -Rf \"${TMP_DIR}\"\n fi\n exit $EXIT_CODE\n}\ntrap cleanup EXIT\n\n\necho \"Installing CMake...\"\napt-get -y purge --auto-remove cmake\nmkdir -p /opt/cmake\n\narchitecture=$(dpkg --print-architecture)\ncase \"${architecture}\" in\n arm64)\n ARCH=aarch64 ;;\n amd64)\n ARCH=x86_64 ;;\n *)\n echo \"Unsupported architecture ${architecture}.\"\n exit 1\n ;;\nesac\n\nCMAKE_BINARY_NAME=\"cmake-${CMAKE_VERSION}-linux-${ARCH}.sh\"\nCMAKE_CHECKSUM_NAME=\"cmake-${CMAKE_VERSION}-SHA-256.txt\"\nTMP_DIR=$(mktemp -d -t cmake-XXXXXXXXXX)\n\necho \"${TMP_DIR}\"\ncd \"${TMP_DIR}\"\n\ncurl -sSL \"https://github.com/Kitware/CMake/releases/download/v${CMAKE_VERSION}/${CMAKE_BINARY_NAME}\" -O\ncurl -sSL \"https://github.com/Kitware/CMake/releases/download/v${CMAKE_VERSION}/${CMAKE_CHECKSUM_NAME}\" -O\n\nsha256sum -c --ignore-missing \"${CMAKE_CHECKSUM_NAME}\"\nsh \"${TMP_DIR}/${CMAKE_BINARY_NAME}\" --prefix=/opt/cmake --skip-license\n\nln -s /opt/cmake/bin/cmake /usr/local/bin/cmake\n" }, { "path": ".editorconfig", "content": "# EditorConfig is awesome: https://EditorConfig.org\n\n# top-most EditorConfig file\nroot = true\n\n[*]\nindent_style = space\nindent_size = 4\nend_of_line = lf\ncharset = utf-8\ntrim_trailing_whitespace = true\ninsert_final_newline = true\n\n[html_renderer/**]\nindent_size = 2\n" }, { "path": ".github/dependabot.yml", "content": "version: 2\nupdates:\n - package-ecosystem: \"github-actions\"\n directory: \"/\"\n schedule:\n interval: \"weekly\"\n ignore:\n # Optional: Official actions have moving tags like v1;\n # if you use those, you don't need updates.\n - dependency-name: \"actions/*\"\n" }, { "path": ".github/workflows/test.yml", "content": "on:\n push:\n branches: [ main ]\n pull_request:\n branches: [ main ]\n\njobs:\n pre-commit:\n runs-on: ubuntu-latest\n steps:\n - uses: actions/checkout@v4\n with:\n # Checkout pull request HEAD commit instead of merge commit\n ref: ${{ github.event.pull_request.head.sha }}\n fetch-depth: 0\n - uses: actions/setup-python@v5\n - name: Install Python deps\n run: |\n pip install -r requirements-dev.txt\n - uses: pre-commit/action@v3.0.1\n with:\n token: ${{ secrets.GITHUB_TOKEN }}\n\n test:\n runs-on: ${{ matrix.os }}\n strategy:\n matrix:\n os: [ubuntu-latest, windows-latest, macos-latest]\n python-version: [\"3.8\", \"3.9\", \"3.10\", \"3.11\", \"3.12\", \"3.13\"]\n # also add an aarch64 test, just one python version\n include:\n - os: ubuntu-24.04-arm\n python-version: \"3.13\"\n fail-fast: false\n\n steps:\n - uses: actions/checkout@v4\n\n - name: Set up Python ${{ matrix.python-version }}\n uses: actions/setup-python@v5\n with:\n python-version: ${{ matrix.python-version }}\n\n - name: Install dependencies\n run: |\n python -m pip install --upgrade pip setuptools wheel\n pip install -e '.[test]'\n\n - name: Test with pytest\n run: |\n pytest && pytest --only-ipython-magic\n" }, { "path": ".github/workflows/wheels.yml", "content": "name: Build wheels\n\non:\n push:\n branches: [ main ]\n tags:\n - v*\n\n pull_request:\n branches: [ main ]\n # only run on pull requests that change a C file or build system\n paths:\n - '**.c'\n - setup.py\n - setup.cfg\n - pyproject.toml\n - .github/workflows/wheels.yml\n\njobs:\n build_wheels:\n name: Build wheels on ${{ matrix.archs }} for ${{ matrix.os }}\n runs-on: ${{ matrix.os }}\n strategy:\n matrix:\n os: [ubuntu-latest, windows-latest, macos-latest, ubuntu-24.04-arm]\n\n steps:\n - uses: actions/checkout@v4\n\n - name: Set up QEMU\n if: ${{ matrix.archs == 'aarch64' }}\n uses: docker/setup-qemu-action@v3\n\n - uses: actions/setup-python@v5\n name: Install Python\n with:\n python-version: '3.8'\n\n - name: Build wheels\n uses: joerick/cibuildwheel@v3.3.1\n env:\n CIBW_SKIP: pp*\n CIBW_ARCHS_MACOS: auto universal2\n\n - uses: actions/upload-artifact@v4\n with:\n name: cibw-wheels-${{ matrix.os }}-${{ strategy.job-index }}\n path: ./wheelhouse/*.whl\n\n build_sdist:\n name: Build source distribution\n runs-on: ubuntu-latest\n steps:\n - uses: actions/checkout@v4\n\n - uses: actions/setup-python@v5\n name: Install Python\n with:\n python-version: '3.8'\n\n - name: Check manifest\n run: pipx run check-manifest\n\n - name: Build sdist\n run: python setup.py sdist\n\n - uses: actions/upload-artifact@v4\n with:\n name: cibw-sdist\n path: dist/*.tar.gz\n\n upload_pypi:\n needs: [build_wheels, build_sdist]\n runs-on: ubuntu-latest\n # upload to PyPI on every tag starting with 'v'\n if: github.event_name == 'push' && startsWith(github.event.ref, 'refs/tags/v')\n environment:\n name: pypi\n url: https://pypi.org/p/pyinstrument\n permissions:\n id-token: write\n attestations: write\n\n steps:\n - uses: actions/download-artifact@v4\n with:\n # unpacks all CIBW artifacts into dist/\n pattern: cibw-*\n path: dist\n merge-multiple: true\n\n - uses: pypa/gh-action-pypi-publish@release/v1\n" }, { "path": ".gitignore", "content": "# virtualenv\nenv/\nenv2/\nenv3*/\n.Python\n/env\n\n# python\n*.pyc\n__pycache__/\n\n# C extensions\n*.so\n*.pyd\n\n# distribution\ndist/\n*.egg-info/\nbuild\n.eggs\n\n# testing\n.cache\n.pytest_cache\n\n# editor\n*.code-workspace\n.history\n.vscode\n.idea\n\n# docs\ndocs/_build\n" }, { "path": ".pre-commit-config.yaml", "content": "repos:\n- repo: https://github.com/pre-commit/pre-commit-hooks\n rev: v4.6.0\n hooks:\n - id: trailing-whitespace\n - id: end-of-file-fixer\n - id: check-yaml\n - id: check-added-large-files\n\n- repo: https://github.com/pycqa/isort\n rev: 5.13.2\n hooks:\n - id: isort\n name: isort (python)\n\n- repo: https://github.com/psf/black\n rev: 24.4.2\n hooks:\n - id: black\n language_version: python3\n\n- repo: https://github.com/codespell-project/codespell\n rev: v2.3.0\n hooks:\n - id: codespell\n exclude: \"\\\\.(json)$|docs/_static/preview\"\n args:\n - --ignore-words-list=vas\n\n- repo: https://github.com/RobertCraigie/pyright-python\n rev: v1.1.403\n hooks:\n - id: pyright\n additional_dependencies:\n - pytest\n - ipython == 8.12.3\n - django\n - flask\n - trio\n - flaky\n - numpy\n - nox\n - requests\n - greenlet\n - types-click\n - types-requests\n - falcon\n - litestar\n - aiohttp\n\n\n- repo: local\n hooks:\n - id: build\n name: build js bundle\n entry: bin/build_js_bundle.py --force\n files: html_renderer/.*\n language: node\n pass_filenames: false\n\n- repo: https://github.com/asottile/pyupgrade\n rev: v3.17.0\n hooks:\n - id: pyupgrade\n args: [--py37-plus]\n stages: [manual]\n exclude: ^pyinstrument/vendor/\n\nexclude: ^pyinstrument/renderers/html_resources/app.js$|^pyinstrument/vendor\n" }, { "path": ".readthedocs.yaml", "content": "version: 2\n\nbuild:\n os: ubuntu-22.04\n tools:\n python: \"3.11\"\n\nsphinx:\n configuration: docs/conf.py\n\npython:\n install:\n - requirements: requirements-dev.txt\n" }, { "path": "LICENSE", "content": "Copyright (c) 2014-2020, Joe Rickerby and contributors\nAll rights reserved.\n\nRedistribution and use in source and binary forms, with or without\nmodification, are permitted provided that the following conditions are met:\n\n1. Redistributions of source code must retain the above copyright notice, this\nlist of conditions and the following disclaimer.\n\n2. Redistributions in binary form must reproduce the above copyright notice,\nthis list of conditions and the following disclaimer in the documentation\nand/or other materials provided with the distribution.\n\n3. Neither the name of the copyright holder nor the names of its contributors\nmay be used to endorse or promote products derived from this software without\nspecific prior written permission.\n\nTHIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\"\nAND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\nIMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE\nDISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE\nFOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL\nDAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR\nSERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER\nCAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,\nOR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE\nOF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.\n" }, { "path": "MAINTAINERS.md", "content": "# Releasing\n\n```\nbin/bump_version.py\ngit push && git push --tags\n```\n\nDeployment to PyPI is performed in GitHub Actions.\n" }, { "path": "MANIFEST.in", "content": "prune **\n\ngraft pyinstrument\ngraft test\ngraft bin\ngraft html_renderer\nprune html_renderer/node_modules\nprune html_renderer/dist\n\ninclude LICENSE README.md pyproject.toml setup.py setup.cfg noxfile.py requirements-dev.txt\n\nglobal-exclude __pycache__ *.py[cod] .* dist\n" }, { "path": "README.md", "content": "pyinstrument\n============\n\n[![PyPI version](https://badge.fury.io/py/pyinstrument.svg)](https://badge.fury.io/py/pyinstrument)\n[![.github/workflows/test.yml](https://github.com/joerick/pyinstrument/actions/workflows/test.yml/badge.svg)](https://github.com/joerick/pyinstrument/actions/workflows/test.yml)\n[![Build wheels](https://github.com/joerick/pyinstrument/actions/workflows/wheels.yml/badge.svg)](https://github.com/joerick/pyinstrument/actions/workflows/wheels.yml)\n\n[Documentation](https://pyinstrument.readthedocs.io/)\n\n\n\n[![Screenshot](https://github.com/joerick/pyinstrument/raw/main/docs/img/screenshot.jpg)](https://github.com/joerick/pyinstrument/raw/main/docs/img/screenshot.jpg)\n\nPyinstrument is a Python profiler. A profiler is a tool to help you optimize\nyour code - make it faster. To get the biggest speed increase you should\n[focus on the slowest part of your program](https://en.wikipedia.org/wiki/Amdahl%27s_law).\nPyinstrument helps you find it!\n\n> ☕️ Not sure where to start? Check out this [video tutorial from calmcode.io](https://calmcode.io/pyinstrument/introduction.html)!\n\n\n\nInstallation\n------------\n\n\n\n pip install pyinstrument\n\nPyinstrument supports Python 3.8+.\n\n\n\n> To run Pyinstrument from a git checkout, there's a build step.\nTake a look at [Contributing](#contributing) for more info.\n\nDocumentation\n-------------\n\nTo learn how to use pyinstrument, or to check the reference, head to the\n[documentation](https://pyinstrument.readthedocs.io/).\n\nKnown issues\n------------\n\n- Profiling code inside a Docker container can cause some strange results,\n because the gettimeofday syscall that pyinstrument uses is slow in that\n environment. See [#83](https://github.com/joerick/pyinstrument/issues/83)\n- When using `pyinstrument script.py` where `script.py` contains a class\n serialized with `pickle`, you might encounter errors because the\n serialisation machinery doesn't know where `__main__` is. [See this issue\n for workarounds](https://github.com/joerick/pyinstrument/issues/109#issuecomment-722276263)\n\nChangelog\n---------\n\n### v5.1.2\n\n_4 January 2026_\n\n- Adds the ability to customize description using CLI option `--target-description` (#408)\n- You can set the interval for the Django middleware using the PYINSTRUMENT_INTERVAL option (#416)\n- HTMLRenderer can now run preprocessors on the input, to manipulate the call tree before writing to HTML (#403)\n- Fix a bug where mismatched start/stops can produce \"call stack without an active session\" errors (#406)\n- Limit sample count for the HTML renderer to ensure the browser can load the sample (#407)\n\n### v5.1.1\n\n_12 August 2025_\n\n- Fix some memory leaks in the low-level C extension (#394)\n\n### v5.1.0\n\n_10 August 2025_\n\n- Precision of printed durations now adapts to the interval of the profile. This allows you to see more detail when the interval, and hides unnecessary detail when the interval is large. (#390)\n- Adds an option to the Django middleware to customise the filename of saved profile runs using a callback (#393)\n- Adds an aiohttp.web example to the documentation (#389)\n\n### v5.0.3\n\n_2 July 2025_\n\n- Fix a bug where the HTML renderer would crash when the profile is empty (#377)\n\n### v5.0.2\n\n_24 May 2025_\n\n- Fix a bug that caused jupyter notebooks to continue to run after a profiled cell was interrupted with Ctrl-C (#373)\n- Fix a type annotation issue when using mypy and import pyinstrument (#373)\n\n### v5.0.1\n\n_23 January 2025_\n\n- Adds a Django option to customise the filename of saved profile runs (#339)\n- Improve the FastAPI integration docs (#355)\n- Include more options in the IPython magic (#350)\n\n### v5.0.0\n\n_11 October 2024_\n\nLoads of improvements to the HTML renderer!\n\n- Timeline mode - see and zoom into an interactive linear timeline!\n\n ![timeline mode](docs/img/timeline.png)\n- HTML mode now has interactive options, rather than needing to set the upfront.\n- Streamlined the design of the HTML page header.\n- HTML Call stack view supports arrow key navigation.\n- The way ‘library’ code is detected has been changed. Previously, if the string ‘/lib/’ occurred in the file path, that was considered library code (and collapsed by default). Now, pyinstrument captures the paths of the Python install and any active virtualenv/conda env at profile time. Files that are stored there are considered library. That should give fewer false positives.\n- Calls to profiler.start() can now pass a target_description parameter, which is displayed in the profile readout.\n\nCheck my [blog post](https://joerick.me/posts/2024/10/3/pyinstrument-5/) for more info on the new features.\n\n### v4.7.3\n\n_6 September 2024_\n\n- Fix a bug introduced in 4.7.0 which would cause the profiler to crash when profiling code with unusual locals, notably some pytest extensions (#332)\n- Fix a bug that causes pyinstrument to fail to import packages like `glom` on Python 3.12 or later, which mutate the locals() dict. (#336)\n- Fix a bug that caused a `UnicodeDecodeError` on some platforms (#330)\n- Fix a DivideByZero error that occurs in some situations\n- The IPython integration takes greater step to ensure a clean profile output, by ensuring internal frames are trimmed before printing. (#321)\n\n### v4.7.2\n\n_5 August 2024_\n\n- Add CPython 3.13 wheels\n- Fix a bug that caused the HTML output to fail to render in some browser contexts (#328)\n\n### v4.7.1\n\n_2 August 2024_\n\n- Fix issue with PyPI upload\n\n### v4.7.0\n\n_1 August 2024_\n\n- Adds a new, convenient API for [profiling chunks of Python code](https://pyinstrument.readthedocs.io/en/stable/guide.html#profile-a-specific-chunk-of-code)! You can now profile simply using a `with` block, or a function/method decorator. This will profile the code and print a short readout into the terminal. (#327)\n- Adds new, lower overhead timing options. Pyinstrument calls timers on every Python function call, which is fine on systems with fast timing available, but it adds significant overhead on systems that require a syscall for each, such as some Docker environments. Pyinstrument will now detect slow timers present a warning with two choices. You can enable a 'timing thread', which offloads the timing workload from the profiled thread, or, if you're happy with lower resolution, you can opt to use a 'coarse' timer, which is provided on some Linux systems. (#273)\n- Alt-click rows in the HTML output to collapse/expand the whole tree (#325)\n- Adds a `flat` argument to the console output, to present a flat list of functions (#294)\n- Adds a Litestar example config and docs (#284)\n- Preliminary Python 3.13 support (#322)\n\n### v4.6.2\n\n_26 January 2024_\n\n- Fixes a bug with the pstats renderer, where additional frames could be seen in the output. (#287)\n- Adds `show_all` option to [Profiler.output_html](https://pyinstrument.readthedocs.io/en/stable/reference.html#pyinstrument.Profiler.output_html)\n\n### v4.6.1\n\n_8 November 2023_\n\n- Fixes a bug with unwanted variable expansion in the IPython magics `%pyinstrument` (#278)\n\n### v4.6.0\n\n_12 October 2023_\n\n- Adds a feature `-c`, which allows profiling code directly from the command line, like `python -c`. (#271)\n- Adds a convenience method [`Profiler.write_html`](https://pyinstrument.readthedocs.io/en/stable/reference.html#pyinstrument.Profiler.write_html), for writing HTML output to a file directly. (#266)\n\n### v4.5.3\n\n_7 September 2023_\n\n- Fix a problem in the packaging process that prevented upload to PyPI\n\n### v4.5.2\n\n_1 September 2023_\n\n- Show the program name in the header of the HTML output (#260)\n- Improve program name capture through resilience to other programs modifying sys.argv (#258)\n- Add support for Python 3.12 (#246)\n\n### v4.5.1\n\n_22 July 2023_\n\n- Fix a bug that caused `[X frames hidden]` in the output when frames were deleted due to `__tracebackhide__` (#255)\n- Fix a bug causing built-in code to display the filepath `None` in the console output (#254)\n- Some docs improvements (#251)\n\n### v4.5.0\n\n_5 June 2023_\n\n- Adds a flat mode to the console renderer, which can be enabled by passing `-p flat` on the command line. This mode shows the heaviest frame as measured by self-time, which can be useful in some codebases. (#240)\n- Adds the ability to save `pstats` files. This is the file format used by cprofile in the stdlib. It's less detailed than pyinstrument profiles, but it's compatible with more tools. (#236)\n- Fixes a detail of the `--show-all` option - pyinstrument will no longer remove Python-internal frames when this option is supplied. (#239)\n- Internally to the HTML renderer, it now uses Svelte to render the frontend, meaning profile HTML files bundle less javascript and so are smaller. (#222)\n\n### v4.4.0\n\n_5 November 2022_\n\n- Adds the class name to methods in the console & HTML outputs (#203)\n- Fix a bug that caused pyinstrument machinery to appear at the start of a profile (#215)\n- Frames that set a `__traceback_hide__` local variable will now be removed from the output (#217)\n- Jupyter/IPython magic now supports async/await, if you run with a `--async_mode=enabled` flag. (#212)\n- Fix a crash when more than one root frame is captured in a thread - this can happen with gevent.\n- A big refactor to the backend, allowing more than just static information to be captured. This currently is just powering the class name feature, but more is to come!\n\n### v4.3.0\n\n_21 August 2022_\n\n- Adds buttons in the HTML output to switch between absolute and\n proportional (percentage) time.\n- Adds a command line flag `--interval` (seconds, default 0.001) to change the interval that\n pyinstrument samples a program. This is useful for long-running programs,\n where increasing the interval reduces the memory overhead.\n- Includes wheels for CPython 3.11.\n\n### v4.2.0\n\n- Adds a command-line option `-p` `--render-option` that allows arbitrary\n setting of render options. This lets you set options like\n `filter_threshold` from the command line, by doing something like\n `pyinstrument -p processor_options.filter_threshold=0`.\n\n Here's the help output for the option:\n ```\n -p RENDER_OPTION, --render-option=RENDER_OPTION\n options to pass to the renderer, in the format\n 'flag_name' or 'option_name=option_value'. For\n example, to set the option 'time', pass '-p\n time=percent_of_total'. To pass multiple options, use\n the -p option multiple times. You can set processor\n options using dot-syntax, like '-p\n processor_options.filter_threshold=0'. option_value is\n parsed as a JSON value or a string.\n ```\n- Adds the ability to view times in the console output as percentages,\n rather than absolute times. Use the ConsoleRenderer option\n `time='percent_of_total'`, or on the command line, use `-p`, like\n `pyinstrument -p time=percent_of_total`.\n- Adds command line options for loading and saving pyinstrument sessions.\n You can save the raw data for a pyinstrument session with `-r session`,\n like `pyinstrument -r session -o session.pyisession myscript.py`. Loading\n is via `--load`, e.g. `pyinstrument --load session.pyisession`.\n- Command line output format is inferred from the `-o` output file\n extension. So if you do `pyinstrument -o profile.html myscript.py`, you\n don't need to supply `-r html`, pyinstrument will automatically use the\n HTML renderer. Or if you do\n `pyinstrument -o profile.pyisession myscript.py`, it will save a raw\n session object.\n- Adds [usage examples for FastAPI and pytest](https://pyinstrument.readthedocs.io/en/stable/guide.html#profile-a-web-request-in-fastapi) to the documentation.\n- Fixes a bug causing NotImplementedError when using `async_mode=strict`.\n- Adds support for Python 3.11\n\n### v4.1.1\n\n- Fixed an issue causing PYINSTRUMENT_PROFILE_DIR_RENDERER to output the\n wrong file extension when used with the speedscope renderer.\n\n### v4.1.0\n\n- You can now use pyinstrument natively in an IPython notebook! Just use\n `%load_ext pyinstrument` at the top of your notebook, and then\n `%%pyinstrument` in the cell you want to profile.\n- Added support for the [speedscope](https://www.speedscope.app/) format.\n This provides a way to view interactive flamecharts using pyinstrument. To\n use, profile with `pyinstrument -r speedscope`, and upload to the\n speedscope web app.\n- You can now configure renderers for the Django middleware file output,\n using the `PYINSTRUMENT_PROFILE_DIR_RENDERER` option.\n- Added wheels for Linux aarch64 (64-bit ARM).\n\n### v4.0.4\n\n- Fix a packaging issue where a package called 'test' was installed\n alongside pyinstrument\n- Use more modern C APIs to resolve deprecation warnings on Python 3.10.\n- Minor docs fixes\n\n### v4.0.3\n\n- CPython 3.10 support\n- Improve error messages when trying to use Profiler from multiple threads\n- Fix crash when rendering sessions that contain a module in a FrameGroup\n\n### v4.0.2\n\n- Fix some packaging issues\n\n### v4.0.0\n\n- Async support! Pyinstrument now detects when an async task hits an await,\n and tracks time spent outside of the async context under this await.\n\n So, for example, here's a simple script with an async task that does a\n sleep:\n\n ```python\n import asyncio\n from pyinstrument import Profiler\n\n async def main():\n p = Profiler(async_mode='disabled')\n\n with p:\n print('Hello ...')\n await asyncio.sleep(1)\n print('... World!')\n\n p.print()\n\n asyncio.run(main())\n ```\n\n Before Pyinstrument 4.0.0, we'd see only time spent in the run loop, like\n this:\n\n ```\n _ ._ __/__ _ _ _ _ _/_ Recorded: 18:33:03 Samples: 2\n /_//_/// /_\\ / //_// / //_'/ // Duration: 1.006 CPU time: 0.001\n / _/ v3.4.2\n\n Program: examples/async_example_simple.py\n\n 1.006 _run_once asyncio/base_events.py:1784\n └─ 1.005 select selectors.py:553\n [3 frames hidden] selectors, \n 1.005 kqueue.control :0\n ```\n\n Now, with pyinstrument 4.0.0, we get:\n\n _ ._ __/__ _ _ _ _ _/_ Recorded: 18:30:43 Samples: 2\n /_//_/// /_\\ / //_// / //_'/ // Duration: 1.007 CPU time: 0.001\n / _/ v4.0.0\n\n Program: examples/async_example_simple.py\n\n 1.006 main async_example_simple.py:4\n └─ 1.005 sleep asyncio/tasks.py:641\n [2 frames hidden] asyncio\n 1.005 [await]\n\n For more information, check out the [async profiling documentation] and\n the [Profiler.async_mode] property.\n\n- Pyinstrument has a [documentation site], including full Python API docs!\n\n[async profiling documentation]: https://pyinstrument.readthedocs.io/en/stable/how-it-works.html#async-profiling\n[Profiler.async_mode]: https://pyinstrument.readthedocs.io/en/stable/reference.html#pyinstrument.Profiler.async_mode\n[documentation site]: https://pyinstrument.readthedocs.io\n\n### v3.4.2\n\n- Fix a bug that caused `--show`, `--show-regex`, `--show-all` to be ignored\n on the command line.\n\n### v3.4.1\n\n- Under-the-hood modernisation\n\n### v3.4.0\n\n- Added `timeline` option (boolean) to Profiler methods `output_html()` and\n `open_in_browser()`.\n\n### v3.3.0\n\n- Fixed issue with `pyinstrument -m module`, where pyinstrument wouldn't find\n modules in the current directory.\n- Dropped support for Python 2.7 and 3.5. Old versions will remain available\n on PyPI, and pip should choose the correct one automatically.\n\n### v3.2.0\n\n- Added the ability to track time in C functions. Minor note - Pyinstrument\n will record time spent C functions as 'leaf' functions, due to a limitation\n in how Python records frames. `Python -> C -> Python` is recorded as\n `Python -> Python`, but `Python -> Python -> C` will be attributed correctly.\n (#103)\n\n### v3.1.2\n\n- Fix `<__array_function__ internals>` frames appearing as app code in reports\n\n### v3.1.1\n\n- Added support for timeline mode on HTML and JSON renderers\n- Released as a tarball as well as a universal wheel\n\n### v3.1.0\n\n- Added PYINSTRUMENT_SHOW_CALLBACK option on the Django middleware to\n add a condition to showing the profile (could be used to run pyinstrument\n on a live server!)\n- Fixed bug in the Django middleware where file would not be written because\n of a unicode error\n\n### v3.0.3\n\n- Fixed bug with the Django middleware on Windows where profiling would fail\n because we were trying to put an illegal character '?' in the profile path.\n (#66)\n\n### v3.0.2\n\n- Add `--show` and `--show-regex` options, to mark certain files to be\n displayed. This helps to profile inside specific modules, while hiding\n others. For example, `pyinstrument --show '*/sympy/*' script.py`.\n\n### v3.0.1\n\n- Fix #60: pass all arguments after -m module_name to the called module\n- Fix crash during HTML/JSON output when no frames were captured.\n\n### v3.0.0\n\n- Pyinstrument will now hide traces through libraries that you're using by default. So instead of showing you loads of frames going through the internals of something external e.g. urllib, it lets you focus on your code.\n\n | Before | After |\n | --- | ---\n | ![image](https://user-images.githubusercontent.com/1244307/50928250-1e50db00-1452-11e9-9164-6050a3c950ed.png) | ![image](https://user-images.githubusercontent.com/1244307/50928326-4c361f80-1452-11e9-91e8-cea735584806.png) |\n\n To go back to the old behaviour, use `--show-all` on the command line.\n\n- 'Entry' frames of hidden groups are shown, so you know which call is the problem\n- Really slow frames in the groups are shown too, e.g. the 'read' call on the socket\n- Application code is highlighted in the console\n- Additional metrics are shown at the top of the trace - timestamp, number of samples, duration, CPU time\n- Hidden code is controlled by the `--hide` or `--hide-regex` options - matching on the path of the code files.\n ```\n --hide=EXPR glob-style pattern matching the file paths whose\n frames to hide. Defaults to '*/lib/*'.\n --hide-regex=REGEX regex matching the file paths whose frames to hide.\n Useful if --hide doesn't give enough control.\n ```\n\n- Outputting a timeline is supported from the command line.\n\n ```\n -t, --timeline render as a timeline - preserve ordering and don't\n condense repeated calls\n ```\n\n- Because there are a few rendering options now, you can load a previous profiling session using `--load-prev` - pyinstrument keeps the last 10 sessions.\n\n- Hidden groups can also call back into application code, that looks like this:\n\n ![image](https://user-images.githubusercontent.com/1244307/50928591-fca42380-1452-11e9-8320-3c851cf5210e.png)\n\n- (internal) When recording timelines, frame trees are completely linear now, allowing\n for the creation of super-accurate frame charts.\n\n- (internal) The HTML renderer has been rewritten as a Vue.js app. All the console improvements apply to the HTML output too, plus it's interactive.\n\n- (internal) A lot of unit and integration tests added!\n\nYikes! See #49 for the gory details. I hope you like it.\n\n### v2.3.0\n\n- Big refactor!\n - `Recorders` have been removed. The frame recording is now internal to the `Profiler` object.\n This means the 'frame' objects are more general-purpose, which paves the way for...\n - Processors! These are functions that mutate the tree to sculpt the output.\n They are used by the renderers to filter the output to the correct form. Now, instead of\n a time-aggregating recorder, the profiler just uses timeline-style recording (this is\n lower-overhead anyway) and the aggregation is done as a processing step.\n - The upshot of this is that it's now way easier to alter the tree to filter stuff out, and\n do more advanced things like combining frames that we don't care about. More features to\n come that use this in v3.0!\n- Importlib frames are removed - you won't see them at all. Their children are retained, so\n imports are just transparent.\n- Django profile file name is now limited to a hundred of characters (#50)\n- Fix bug with --html option (#53)\n- Add `--version` command line option\n\n### v2.2.1\n\n- Fix crash when using on the command line.\n\n### v2.2.0\n\n- Added support for JSON output. Use `pyinstrument --renderer=json scriptfile.py`.\n [PR](https://github.com/joerick/pyinstrument/pull/46)\n- [@iddan](https://github.com/iddan) has put together an\n [interactive viewer](https://python-flame-chart.netlify.com/) using the JSON output!\n\n ![image](https://user-images.githubusercontent.com/1244307/44622790-3ca9a600-a8b8-11e8-8dc2-f33ce433c03d.png)\n\n- When running `pyinstrument --html` and you don't pipe the output to a file, pyinstrument will write the console output to a temp file and open that in a browser.\n\n### v2.1.0\n\n- Added support for running modules with pyinstrument via the command line. The new syntax\n is the `-m` flag e.g. `pyinstrument -m module_name`! [PR](https://github.com/joerick/pyinstrument/pull/45#pullrequestreview-143383557)\n\n### v2.0.4\n\n- Fix crashes due to multi-threaded use of pyinstrument. The fix is in the C extension,\n over at https://github.com/joerick/pyinstrument_cext/pull/3\n\n### v2.0.3\n\n- Pyinstrument can now be used in a `with` block.\n\n For example:\n\n\t\tprofiler = pyinstrument.Profiler()\n\t\twith profiler:\n\t\t # do some work here...\n\t\tprint(profiler.output_text())\n- Middleware fix for older versions of Django\n\n### v2.0.2\n\n- Fix for max recursion error when used to profile programs with a lot of frames on the stack.\n\n### v2.0.1\n\n- Ensure license is included in the sdist.\n\n### v2.0.0\n\n- **Pyinstrument uses a new profiling mode**. Rather than using\n signals, pyintrument uses a new statistical profiler built on\n PyEval_SetProfile. This means no more main thread restriction, no more\n IO errors when using Pyinstrument, and no need for a separate more\n 'setprofile' mode!\n\n- **Renderers**. Users can customize Pyinstrument to use alternative renderers\n with the `renderer` argument on `Profiler.output()`, or using the `--renderer`\n argument on the command line.\n\n- **Recorders**. To support other use cases of Pyinstrument (e.g. flame charts),\n pyinstrument now has a 'timeline' recorder mode. This mode records captured\n frames in a linear way, so the program execution can be viewed on a\n timeline.\n\n### v0.13\n\n- `pyinstrument` command. You can now profile python scripts from the shell\n by running `$ pyinstrument script.py`. This is now equivalent to\n `python -m pyinstrument`. Thanks @asmeurer!\n\n### v0.12\n\n- Application code is highlighted in HTML traces to make it easier to spot\n\n- Added `PYINSTRUMENT_PROFILE_DIR` option to the Django interface, which\n will log profiles of all requests to a file the specified folder. Useful\n for profiling API calls.\n\n- Added `PYINSTRUMENT_USE_SIGNAL` option to the Django interface, for use\n when signal mode presents problems.\n\nContributing\n------------\n\nTo setup a dev environment:\n\n virtualenv --python=python3 env\n . env/bin/activate\n pip install --upgrade pip\n pip install -r requirements-dev.txt\n pre-commit install --install-hooks\n\nTo get some sample output:\n\n pyinstrument examples/demo_scripts/wikipedia_article_word_count.py\n\nTo run the tests:\n\n pytest\n\nTo run linting checks locally:\n\n pre-commit run --all-files\n\nSome of the pre-commit checks, like `isort` or `black`, will auto-fix\nthe problems they find. So if the above command returns an error, try\nrunning it again, it might succeed the second time :)\n\nRunning all the checks can be slow, so you can also run checks\nindividually, e.g., to format source code that fails `isort` or `black`\nchecks:\n\n pre-commit run --all-files isort\n pre-commit run --all-files black\n\nTo diagnose why `pyright` checks are failing:\n\n pre-commit run --all-files pyright\n\n### The HTML renderer Vue.js app\n\nThe HTML renderer works by embedding a JSON representation of the sample with\na Javascript 'bundle' inside an HTML file that can be viewed in any web\nbrowser.\n\nTo edit the html renderer style, do:\n\n cd html_renderer\n npm ci\n npm run serve\n\nWhen launched without a top-level `window.profileSession` object, it will\nfetch a sample profile so you can work with it.\n\nTo compile the JS app and bundle it back into the pyinstrument python tool:\n\n bin/build_js_bundle.py [--force]\n" }, { "path": "bin/build_js_bundle.py", "content": "#!/usr/bin/env python3\n\nimport argparse\nimport os\nimport shutil\nimport subprocess\nimport sys\n\nHTML_RENDERER_DIR = \"html_renderer\"\nJS_BUNDLE = \"pyinstrument/renderers/html_resources/app.js\"\nCSS_BUNDLE = \"pyinstrument/renderers/html_resources/app.css\"\n\nDOCS_PREVIEW_DIR = \"docs/_static/preview\"\n\nif __name__ == \"__main__\":\n # chdir to root of repo\n os.chdir(os.path.dirname(__file__))\n os.chdir(\"..\")\n\n parser = argparse.ArgumentParser()\n parser.add_argument(\"--force\", action=\"store_true\", help=\"force a rebuild of the bundle\")\n\n args = parser.parse_args()\n\n js_source_mtime = 0\n for dirpath, dirnames, filenames in os.walk(HTML_RENDERER_DIR):\n if \"node_modules\" in dirnames:\n dirnames.remove(\"node_modules\")\n\n for filename in filenames:\n file = os.path.join(dirpath, filename)\n js_source_mtime = max(js_source_mtime, os.path.getmtime(file))\n\n js_bundle_is_up_to_date = (\n os.path.exists(JS_BUNDLE) and os.path.getmtime(JS_BUNDLE) >= js_source_mtime\n )\n\n if js_bundle_is_up_to_date and not args.force:\n print(\"Bundle up-to-date\")\n sys.exit(0)\n\n if subprocess.call(\"npm --version\", shell=True) != 0:\n raise RuntimeError(\"npm is required to build the HTML renderer.\")\n\n subprocess.check_call(\"npm ci\", cwd=HTML_RENDERER_DIR, shell=True)\n subprocess.check_call(\"npm run build\", cwd=HTML_RENDERER_DIR, shell=True)\n\n shutil.copyfile(HTML_RENDERER_DIR + \"/dist/pyinstrument-html.iife.js\", JS_BUNDLE)\n shutil.copyfile(HTML_RENDERER_DIR + \"/dist/style.css\", CSS_BUNDLE)\n\n subprocess.check_call(\"npm run build -- --mode preview\", cwd=HTML_RENDERER_DIR, shell=True)\n shutil.rmtree(DOCS_PREVIEW_DIR, ignore_errors=True)\n shutil.copytree(HTML_RENDERER_DIR + \"/dist\", DOCS_PREVIEW_DIR)\n" }, { "path": "bin/bump_version.py", "content": "#!/usr/bin/env python3\n\n\nfrom __future__ import annotations\n\nimport glob\nimport os\nimport subprocess\nimport sys\nimport urllib.parse\nfrom pathlib import Path\n\nimport click\nfrom packaging.version import InvalidVersion, Version\n\nimport pyinstrument\n\nconfig = [\n # file path, version find/replace format\n (\"setup.py\", 'version=\"{}\"'),\n (\"pyinstrument/__init__.py\", '__version__ = \"{}\"'),\n (\"docs/conf.py\", 'release = \"{}\"'),\n]\n\nRED = \"\\u001b[31m\"\nGREEN = \"\\u001b[32m\"\nOFF = \"\\u001b[0m\"\n\n\n@click.command()\ndef bump_version() -> None:\n current_version = pyinstrument.__version__\n\n try:\n commit_date_str = subprocess.run(\n [\n \"git\",\n \"show\",\n \"--no-patch\",\n \"--pretty=format:%ci\",\n f\"v{current_version}^{{commit}}\",\n ],\n check=True,\n capture_output=True,\n encoding=\"utf8\",\n ).stdout\n cd_date, cd_time, cd_tz = commit_date_str.split(\" \")\n\n url_opts = urllib.parse.urlencode({\"q\": f\"is:pr merged:>{cd_date}T{cd_time}{cd_tz}\"})\n url = f\"https://github.com/joerick/pyinstrument/pulls?{url_opts}\"\n\n print(f\"PRs merged since last release:\\n {url}\")\n print()\n except subprocess.CalledProcessError as e:\n print(e)\n print(\"Failed to get previous version tag information.\")\n\n git_changes_result = subprocess.run([\"git diff-index --quiet HEAD --\"], shell=True)\n repo_has_uncommitted_changes = git_changes_result.returncode != 0\n\n if repo_has_uncommitted_changes:\n print(\"error: Uncommitted changes detected.\")\n sys.exit(1)\n\n # fmt: off\n print( 'Current version:', current_version) # noqa\n new_version = input(' New version: ').strip()\n # fmt: on\n\n try:\n Version(new_version)\n except InvalidVersion:\n print(\"error: This version doesn't conform to PEP440\")\n print(\" https://www.python.org/dev/peps/pep-0440/\")\n sys.exit(1)\n\n actions = []\n\n for path_pattern, version_pattern in config:\n paths = [Path(p) for p in glob.glob(path_pattern)]\n\n if not paths:\n print(f\"error: Pattern {path_pattern} didn't match any files\")\n sys.exit(1)\n\n find_pattern = version_pattern.format(current_version)\n replace_pattern = version_pattern.format(new_version)\n found_at_least_one_file_needing_update = False\n\n for path in paths:\n contents = path.read_text(encoding=\"utf8\")\n if find_pattern in contents:\n found_at_least_one_file_needing_update = True\n actions.append(\n (\n path,\n find_pattern,\n replace_pattern,\n )\n )\n\n if not found_at_least_one_file_needing_update:\n print(f'''error: Didn't find any occurrences of \"{find_pattern}\" in \"{path_pattern}\"''')\n sys.exit(1)\n\n print()\n print(\"Here's the plan:\")\n print()\n\n for action in actions:\n path, find, replace = action\n print(f\"{path} {RED}{find}{OFF} → {GREEN}{replace}{OFF}\")\n\n print(f\"Then commit, and tag as v{new_version}\")\n\n answer = input(\"Proceed? [y/N] \").strip()\n\n if answer != \"y\":\n print(\"Aborted\")\n sys.exit(1)\n\n for path, find, replace in actions:\n contents = path.read_text(encoding=\"utf8\")\n contents = contents.replace(find, replace)\n path.write_text(contents, encoding=\"utf8\")\n\n print(\"Files updated. If you want to update the changelog as part of this\")\n print(\"commit, do that now.\")\n print()\n\n while input('Type \"done\" to continue: ').strip().lower() != \"done\":\n pass\n\n subprocess.run(\n [\n \"git\",\n \"commit\",\n \"--all\",\n f\"--message=Bump version: v{new_version}\",\n ],\n check=True,\n )\n\n subprocess.run(\n [\n \"git\",\n \"tag\",\n \"--annotate\",\n f\"--message=v{new_version}\",\n f\"v{new_version}\",\n ],\n check=True,\n )\n\n print(\"Done.\")\n\n\nif __name__ == \"__main__\":\n os.chdir(Path(__file__).parent.parent.resolve())\n bump_version()\n" }, { "path": "bin/create_demo_data.py", "content": "#!/usr/bin/env python3\n\nimport os\nimport subprocess\nimport sys\nfrom glob import glob\nfrom pathlib import Path\n\nROOT_DIR = Path(__file__).parent.parent\n\n\ndef main():\n os.chdir(ROOT_DIR)\n for script in glob(str(\"examples/demo_scripts/*.py\")):\n subprocess.run([sys.executable, \"bin/create_sample_json.py\", script], check=True)\n\n\nif __name__ == \"__main__\":\n main()\n" }, { "path": "bin/create_sample_json.py", "content": "#!/usr/bin/env python3\nimport argparse\nimport subprocess\nimport sys\nfrom pathlib import Path\n\nROOT_DIR = Path(__file__).parent.parent\nOUTPUT_DIR = ROOT_DIR / \"html_renderer\" / \"demo-data\"\n\n\ndef main():\n parser = argparse.ArgumentParser()\n parser.add_argument(\"SCRIPT\", help=\"The script to run to produce the sample\", type=Path)\n args = parser.parse_args()\n script_file: Path = args.SCRIPT\n output_file = (OUTPUT_DIR / script_file.with_suffix(\"\").name).with_suffix(\".json\")\n\n result = subprocess.run(\n [\n \"pyinstrument\",\n \"-o\",\n str(output_file),\n \"-r\",\n \"pyinstrument.renderers.html.JSONForHTMLRenderer\",\n script_file,\n ]\n )\n\n if result.returncode != 0:\n return result.returncode\n\n print(f\"Sample JSON written to {output_file}\")\n\n\nif __name__ == \"__main__\":\n sys.exit(main())\n" }, { "path": "bin/serve_docs", "content": "#!/bin/sh\n\ncd \"$(dirname \"$0\")\"\ncd ..\n\nexec make -C docs livehtml\n" }, { "path": "docs/Makefile", "content": "# Minimal makefile for Sphinx documentation\n#\n\n# You can set these variables from the command line, and also\n# from the environment for the first two.\nSPHINXOPTS ?=\nSPHINXBUILD ?= sphinx-build\nSOURCEDIR = .\nBUILDDIR = _build\n\n# Put it first so that \"make\" without argument is like \"make help\".\nhelp:\n\t@$(SPHINXBUILD) -M help \"$(SOURCEDIR)\" \"$(BUILDDIR)\" $(SPHINXOPTS) $(O)\n\n.PHONY: help Makefile livehtml\n\nlivehtml:\n\tsphinx-autobuild -a --watch ../pyinstrument \"$(SOURCEDIR)\" \"$(BUILDDIR)\" $(SPHINXOPTS) $(O)\n\n# Catch-all target: route all unknown targets to Sphinx using the new\n# \"make mode\" option. $(O) is meant as a shortcut for $(SPHINXOPTS).\n%: Makefile\n\t@$(SPHINXBUILD) -M $@ \"$(SOURCEDIR)\" \"$(BUILDDIR)\" $(SPHINXOPTS) $(O)\n" }, { "path": "docs/_static/preview/assets/django_template_render-CIkNzFIy.js", "content": "const e={start_time:1727459143227702e-6,duration:.1257030963897705,min_interval:.001,max_interval:.001,sample_count:117,start_call_stack:[\"MainThread\\0\\x008219610944\",\"\\0/Users/joerick/Projects/pyinstrument/env/bin/pyinstrument\\x001\u0001l8\",\"main\\0/Users/joerick/Projects/pyinstrument/pyinstrument/__main__.py\\x0029\u0001l379\"],target_description:\"Program: 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as default,i as frame_tree,e as session};\n" }, { "path": "docs/_static/preview/index.html", "content": "\n\n \n \n \n \n Pyinstrument Demo\n \n \n \n \n
\n \n\n" }, { "path": "docs/conf.py", "content": "# Configuration file for the Sphinx documentation builder.\n#\n# This file only contains a selection of the most common options. For a full\n# list see the documentation:\n# https://www.sphinx-doc.org/en/master/usage/configuration.html\n\n# -- Path setup --------------------------------------------------------------\n\n# If extensions (or modules to document with autodoc) are in another directory,\n# add these directories to sys.path here. If the directory is relative to the\n# documentation root, use os.path.abspath to make it absolute, like shown here.\n\nimport os\nimport sys\n\nsys.path.insert(0, os.path.abspath(\"./extensions\"))\n\n\n# -- Project information -----------------------------------------------------\n\nproject = \"pyinstrument\"\ncopyright = \"2021, Joe Rickerby\"\nauthor = \"Joe Rickerby\"\n\n# The full version, including alpha/beta/rc tags\nrelease = \"5.1.2\"\n\n\n# -- General configuration ---------------------------------------------------\n\n# Add any Sphinx extension module names here, as strings. They can be\n# extensions coming with Sphinx (named 'sphinx.ext.*') or your custom\n# ones.\nextensions = [\n \"myst_parser\",\n \"sphinx.ext.autodoc\",\n \"sphinxcontrib.programoutput\",\n \"signature_change\",\n]\n\n# Add any paths that contain templates here, relative to this directory.\ntemplates_path = [\"_templates\"]\n\n# List of patterns, relative to source directory, that match files and\n# directories to ignore when looking for source files.\n# This pattern also affects html_static_path and html_extra_path.\nexclude_patterns = [\"_build\", \"Thumbs.db\", \".DS_Store\"]\n\n\n# -- Options for HTML output -------------------------------------------------\n\n# The theme to use for HTML and HTML Help pages. See the documentation for\n# a list of builtin themes.\n#\nhtml_theme = \"furo\"\n\n# Add any paths that contain custom static files (such as style sheets) here,\n# relative to this directory. They are copied after the builtin static files,\n# so a file named \"default.css\" will overwrite the builtin \"default.css\".\nhtml_static_path = [\"_static\"]\n\n# -- Autodoc setup\n\nautoclass_content = \"both\"\nautodoc_member_order = \"bysource\"\nautodoc_typehints = \"description\"\nautodoc_typehints_description_target = \"documented\"\n# napoleon_google_docstring = True\n# napoleon_use_rtype = False\n" }, { "path": "docs/extensions/signature_change.py", "content": "def process_sig(app, what, name, obj, options, signature, return_annotation):\n if \"HTMLRenderer\" in name:\n signature = \"()\"\n return (signature, return_annotation)\n\n\ndef setup(app):\n app.connect(\"autodoc-process-signature\", process_sig)\n" }, { "path": "docs/guide.md", "content": "User guide\n==========\n\n## Installation\n\n```{include} ../README.md\n---\nrelative-docs: docs/\nrelative-images:\nstart-after: ''\nend-before: ''\n---\n```\n\n## Profile a Python script\n\nCall Pyinstrument directly from the command line. Instead of writing\n`python script.py`, type `pyinstrument script.py`. Your script will run as\nnormal, and at the end (or when you press `^C`), Pyinstrument will output a\ncolored summary showing where most of the time was spent.\n\nHere are the options you can use:\n\n```{program-output} python -m pyinstrument --help\n```\n\n**Protip:** `-r html` will give you a interactive profile report as HTML - you\ncan really explore this way!\n\n## Profile a Python CLI command\n\nFor profiling an installed Python script via the\n[\"console_script\" entry point](https://packaging.python.org/en/latest/specifications/entry-points/#use-for-scripts),\ncall Pyinstrument directly from the command line with the `--from-path` flag.\nInstead of writing `cli-script`, type `pyinstrument --from-path cli-script`.\nYour script will run as normal, and at the end (or when you press `^C`),\nPyinstrument will output a colored summary showing where most of the time was\nspent.\n\n## Profile a specific chunk of code\n\nPyinstrument also has a Python API. You can use a with-block, like this:\n\n```python\nimport pyinstrument\n\nwith pyinstrument.profile():\n # code you want to profile\n```\n\nOr you can decorate a function/method, like this:\n\n```python\nimport pyinstrument\n\n@pyinstrument.profile()\ndef my_function():\n # code you want to profile\n\n```\n\nThere's also a lower-level API called Profiler, that's more flexible:\n\n```python\nfrom pyinstrument import Profiler\n\nprofiler = Profiler()\nprofiler.start()\n\n# code you want to profile\n\nprofiler.stop()\nprofiler.print()\n```\n\nIf you get \"No samples were recorded.\" because your code executed in under\n1ms, hooray! If you **still** want to instrument the code, set an interval\nvalue smaller than the default 0.001 (1 millisecond) like this:\n\n```python\npyinstrument.profile(interval=0.0001)\n# or,\nprofiler = Profiler(interval=0.0001)\n...\n```\n\nExperiment with the interval value to see different depths, but keep in mind\nthat smaller intervals could affect the performance overhead of profiling.\n\n**Protip:** To explore the profile in a web browser, use\n{meth}`profiler.open_in_browser() `. To\nsave this HTML for later, use\n{meth}`profiler.output_html() `.\n\n## Profile code in Jupyter/IPython\n\nVia [IPython magics](https://ipython.readthedocs.io/en/stable/interactive/magics.html),\nyou can profile a line or a cell in IPython or Jupyter.\n\nExample:\n```python\n%load_ext pyinstrument\n```\n\n```\n%%pyinstrument\nimport time\n\ndef a():\n b()\n c()\ndef b():\n d()\ndef c():\n d()\ndef d():\n e()\ndef e():\n time.sleep(1)\na()\n```\n\nTo customize options, see `%%pyinstrument??`.\n\n## Profile a web request in Django\n\nTo profile Django web requests, add\n`pyinstrument.middleware.ProfilerMiddleware` to `MIDDLEWARE` in your\n`settings.py`.\n\n**Profile specific request**\n\nOnce installed, add `?profile` to the end of a request URL to activate the\nprofiler. Your request will run as normal, but instead of getting the response,\nyou'll get pyinstrument's analysis of the request in a web page.\n\n**Save all requests to a directory**\n\nIf you're writing an API, it's not easy to change the URL when you want to\nprofile something. In this case, add `PYINSTRUMENT_PROFILE_DIR = 'profiles'`\nto your `settings.py`. Pyinstrument will profile every request and save the\nHTML output to the folder `profiles` in your working directory.\n\n**Custom file name by string**\n\nYou can further customize the filename by adding `PYINSTRUMENT_FILENAME` to\n`settings.py`, default value is `\"{total_time:.3f}s {path} {timestamp:.0f}.{ext}\"`.\n\n**Custom file name by callback function**\n\nFor more control you can provide a callback function by adding\n`PYINSTRUMENT_FILENAME_CALLBACK` to `settings.py`, that returns a filename as a string.\n\n```python\ndef get_pyinstrument_filename(request, session, renderer):\n path = request.get_full_path().replace(\"/\", \"_\")[:100]\n ext = renderer.output_file_extension\n filename = f\"{request.method}_{session.duration}{path}.{ext}\"\n return filename\n\nPYINSTRUMENT_FILENAME_CALLBACK = get_pyinstrument_filename\n```\n\n(This callback takes precedence over `PYINSTRUMENT_FILENAME`).\n\n**Control shown profiling page**\n\nIf you want to show the profiling page depending on the request you can define\n`PYINSTRUMENT_SHOW_CALLBACK` as dotted path to a function used for determining\nwhether the page should show or not.\nYou can provide your own function callback(request) which returns True or False\nin your settings.py.\n\n```python\ndef custom_show_pyinstrument(request):\n return request.user.is_superuser\n\n\nPYINSTRUMENT_SHOW_CALLBACK = \"%s.custom_show_pyinstrument\" % __name__\n```\n\nYou can configure the profile output type using setting's variable `PYINSTRUMENT_PROFILE_DIR_RENDERER`.\nDefault value is `pyinstrument.renderers.HTMLRenderer`. The supported renderers are\n`pyinstrument.renderers.JSONRenderer`, `pyinstrument.renderers.HTMLRenderer`,\n`pyinstrument.renderers.SpeedscopeRenderer`.\n\n**Set a custom interval**\n\nYou can configure the sampling interval using setting's variable `PYINSTRUMENT_INTERVAL`. Default value is 0.001.\n\n## Profile a web request in Flask\n\nA simple setup to profile a Flask application is the following:\n\n```python\nfrom flask import Flask, g, make_response, request\nfrom pyinstrument import Profiler\n\napp = Flask(__name__)\n\n@app.before_request\ndef before_request():\n if \"profile\" in request.args:\n g.profiler = Profiler()\n g.profiler.start()\n\n\n@app.after_request\ndef after_request(response):\n if not hasattr(g, \"profiler\"):\n return response\n g.profiler.stop()\n output_html = g.profiler.output_html()\n return make_response(output_html)\n```\n\nThis will check for the `?profile` query param on each request and if found,\nit starts profiling. After each request where the profiler was running it\ncreates the html output and returns that instead of the actual response.\n\n## Profile a web request in FastAPI\n\nTo profile call stacks in FastAPI, you can write a middleware extension for\npyinstrument.\n\n```{caution}\nOnly `async` path operation functions are profiled with this approach. Routes that are defined without `async def` are executed in a separate execution thread, and therefore not profiled by this approach.\nSee [issue #257](https://github.com/joerick/pyinstrument/issues/257) and [FastAPI Concurrency and async / await](https://fastapi.tiangolo.com/async/) for more information.\n```\n\nCreate an async function and decorate with `app.middleware('http')` where\napp is the name of your FastAPI application instance.\n\nMake sure you configure a setting to only make this available when required.\n\n```python\nfrom fastapi import Request\nfrom fastapi.responses import HTMLResponse\nfrom pyinstrument import Profiler\n\n\nPROFILING = True # Set this from a settings model\n\nif PROFILING:\n @app.middleware(\"http\")\n async def profile_request(request: Request, call_next):\n profiling = request.query_params.get(\"profile\", False)\n if profiling:\n profiler = Profiler()\n profiler.start()\n await call_next(request)\n profiler.stop()\n return HTMLResponse(profiler.output_html())\n else:\n return await call_next(request)\n```\n\nTo invoke, make any request to your application with the GET parameter\n`profile=1` and it will print the HTML result from pyinstrument.\n\n## Profile a web request in Falcon\n\nFor profile call stacks in Falcon, you can write a middleware extension using\npyinstrument.\n\nCreate a middleware class and start the profiler at `process_request` and stop it at `process_response`.\nThe middleware can be added to the app.\n\nMake sure you configure a setting to only make this available when required.\n\n```python\nfrom pyinstrument import Profiler\nimport falcon\n\nclass ProfilerMiddleware:\n def __init__(self, interval=0.01):\n self.profiler = Profiler(interval=interval)\n\n def process_request(self, req, resp):\n self.profiler.start()\n\n def process_response(self, req, resp, resource, req_succeeded):\n self.profiler.stop()\n self.profiler.open_in_browser()\n\nPROFILING = True # Set this from a settings model\n\napp = falcon.App()\nif PROFILING:\n app.add_middleware(ProfilerMiddleware())\n```\n\nTo invoke, make any request to your application and it launch a new window\nprinting the HTML result from pyinstrument.\n\n## Profile a web request in Litestar\n\nMinimal application setup allowing request profiling.\n\nThe middleware overrides the response to return a profiling report in HTML format.\n\n```python\nfrom __future__ import annotations\n\nfrom asyncio import sleep\n\nfrom litestar import Litestar, get\nfrom litestar.middleware import MiddlewareProtocol\nfrom litestar.types import ASGIApp, Message, Receive, Scope, Send\n\nfrom pyinstrument import Profiler\n\n\nclass ProfilingMiddleware(MiddlewareProtocol):\n def __init__(self, app: ASGIApp) -> None:\n super().__init__(app) # type: ignore\n self.app = app\n\n async def __call__(self, scope: Scope, receive: Receive, send: Send) -> None:\n profiler = Profiler(interval=0.001, async_mode=\"enabled\")\n profiler.start()\n profile_html: str | None = None\n\n async def send_wrapper(message: Message) -> None:\n if message[\"type\"] == \"http.response.start\":\n profiler.stop()\n nonlocal profile_html\n profile_html = profiler.output_html()\n message[\"headers\"] = [\n (b\"content-type\", b\"text/html; charset=utf-8\"),\n (b\"content-length\", str(len(profile_html)).encode()),\n ]\n elif message[\"type\"] == \"http.response.body\":\n assert profile_html is not None\n message[\"body\"] = profile_html.encode()\n await send(message)\n\n await self.app(scope, receive, send_wrapper)\n\n\n@get(\"/\")\nasync def index() -> str:\n await sleep(1)\n return \"Hello, world!\"\n\n\napp = Litestar(\n route_handlers=[index],\n middleware=[ProfilingMiddleware],\n)\n```\n\nTo invoke, make any request to your application and it will return the HTML result from pyinstrument instead of your application's response.\n\n## Profile a web request in aiohttp.web\n\nYou can use a simple middleware to profile aiohttp web server requests with\nPyinstrument:\n\n```python\nfrom aiohttp import web\nfrom pyinstrument import Profiler\n\n@web.middleware\nasync def profiler_middleware(request, handler):\n with Profiler() as p:\n await handler(request)\n return web.Response(text=p.output_html(), content_type=\"text/html\")\n\napp = web.Application(middlewares=(profiler_middleware,))\n```\n\nPyinstrument's HTML output will be returned as response, showing the profiling\nresult of each request.\n\nMake use of aiohttp.web development CLI feature to isolate configurations and\nmake sure profiling is only enabled when needed:\n\n```python\n...\n\ndef dev_app(argv):\n app = web.Application(middlewares=(profiler_middleware,))\n app.add_routes(routes)\n return app # for development\n\nif __name__ == '__main__':\n app = web.Application()\n app.add_routes(routes)\n web.run_app(...) # for deployment\n```\n\n```bash\npython3 -m aiohttp.web app:dev_app # develop with profiling and debug enabled\npython3 ./app.py # run app without profiling\n```\n\n## Profile Pytest tests\n\nPyinstrument can be invoked via the command-line to run pytest, giving you a\nconsolidated report for the test suite.\n\n```\npyinstrument -m pytest [pytest-args...]\n```\n\nOr, to instrument specific tests, create and auto-use fixture in `conftest.py`\nin your test folder:\n\n```python\nfrom pathlib import Path\nimport pytest\nfrom pyinstrument import Profiler\n\nTESTS_ROOT = Path.cwd()\n\n@pytest.fixture(autouse=True)\ndef auto_profile(request):\n PROFILE_ROOT = (TESTS_ROOT / \".profiles\")\n # Turn profiling on\n profiler = Profiler()\n profiler.start()\n\n yield # Run test\n\n profiler.stop()\n PROFILE_ROOT.mkdir(exist_ok=True)\n results_file = PROFILE_ROOT / f\"{request.node.name}.html\"\n profiler.write_html(results_file)\n```\n\nThis will generate a HTML file for each test node in your test suite inside\nthe `.profiles` directory.\n\n## Profile something else?\n\nI'd love to have more ways to profile using Pyinstrument - e.g. other web\nframeworks. PRs are encouraged!\n" }, { "path": "docs/home.md", "content": "---\nhtml_meta:\n title: Home\nhide-toc:\n---\n\n# pyinstrument\n\n```{include} ../README.md\n---\nrelative-docs: docs/\nrelative-images:\nstart-after: ''\nend-before: ''\n---\n```\n" }, { "path": "docs/how-it-works.md", "content": "How it works\n============\n\nPyinstrument interrupts the program every 1ms[^interval] and records the entire stack at\nthat point. It does this using a C extension and `PyEval_SetProfile`, but only\ntaking readings every 1ms. Check out [this blog post](http://joerick.me/posts/2017/12/15/pyinstrument-20/) for more info.\n\n[^interval]: Or, your configured ``interval``.\n\nYou might be surprised at how few samples make up a report, but don't worry,\nit won't decrease accuracy. The default interval of 1ms is a lower bound for\nrecording a stackframe, but if there is a long time spent in a single function\ncall, it will be recorded at the end of that call. So effectively those\nsamples were 'bunched up' and recorded at the end.\n\n## Statistical profiling (not tracing)\n\nPyinstrument is a statistical profiler - it doesn't track every\nfunction call that your program makes. Instead, it's recording the call stack\nevery 1ms.\n\nThat gives some advantages over other profilers. Firstly, statistical\nprofilers are much lower-overhead than tracing profilers.\n\n| | Django template render × 4000 | Overhead\n| -------------|:---------------------------------------------------|---------:\n| Base | `████████████████ ` 0.33s |\n| | |\n| pyinstrument | `████████████████████ ` 0.43s | 30%\n| cProfile | `█████████████████████████████ ` 0.61s | 84%\n| profile | `██████████████████████████████████...██` 6.79s | 2057%\n\nBut low overhead is also important because it can distort the results. When\nusing a tracing profiler, code that makes a lot of Python function calls\ninvokes the profiler a lot, making it slower. This distorts the\nresults, and might lead you to optimise the wrong part of your program!\n\n## Full-stack recording\n\nThe standard Python profilers [`profile`][1] and [`cProfile`][2] show you a\nbig list of functions, ordered by the time spent in each function.\nThis is great, but it can be difficult to interpret _why_ those functions are\ngetting called. It's more helpful to know why those functions are called, and\nwhich parts of user code were involved.\n\n[1]: http://docs.python.org/2/library/profile.html#module-profile\n[2]: http://docs.python.org/2/library/profile.html#module-cProfile\n\nFor example, let's say I want to figure out why a web request in Django is\nslow. If I use cProfile, I might get this:\n\n 151940 function calls (147672 primitive calls) in 1.696 seconds\n\n Ordered by: cumulative time\n\n ncalls tottime percall cumtime percall filename:lineno(function)\n 1 0.000 0.000 1.696 1.696 profile:0( at 0x1053d6a30, file \"./manage.py\", line 2>)\n 1 0.001 0.001 1.693 1.693 manage.py:2()\n 1 0.000 0.000 1.586 1.586 __init__.py:394(execute_from_command_line)\n 1 0.000 0.000 1.586 1.586 __init__.py:350(execute)\n 1 0.000 0.000 1.142 1.142 __init__.py:254(fetch_command)\n 43 0.013 0.000 1.124 0.026 __init__.py:1()\n 388 0.008 0.000 1.062 0.003 re.py:226(_compile)\n 158 0.005 0.000 1.048 0.007 sre_compile.py:496(compile)\n 1 0.001 0.001 1.042 1.042 __init__.py:78(get_commands)\n 153 0.001 0.000 1.036 0.007 re.py:188(compile)\n 106/102 0.001 0.000 1.030 0.010 __init__.py:52(__getattr__)\n 1 0.000 0.000 1.029 1.029 __init__.py:31(_setup)\n 1 0.000 0.000 1.021 1.021 __init__.py:57(_configure_logging)\n 2 0.002 0.001 1.011 0.505 log.py:1()\n\nIt's often hard to understand how your own code relates to these traces.\n\nPyinstrument records the entire stack, so tracking expensive calls is much\neasier. It also hides library frames by default, letting you focus on your\napp/module is affecting performance.\n\n```\n _ ._ __/__ _ _ _ _ _/_ Recorded: 14:53:35 Samples: 131\n /_//_/// /_\\ / //_// / //_'/ // Duration: 3.131 CPU time: 0.195\n/ _/ v3.0.0b3\n\nProgram: examples/django_example/manage.py runserver --nothreading --noreload\n\n3.131 manage.py:2\n└─ 3.118 execute_from_command_line django/core/management/__init__.py:378\n [473 frames hidden] django, socketserver, selectors, wsgi...\n 2.836 select selectors.py:365\n 0.126 _get_response django/core/handlers/base.py:96\n └─ 0.126 hello_world django_example/views.py:4\n```\n\n## 'Wall-clock' time (not CPU time)\n\nPyinstrument records duration using 'wall-clock' time. When you're writing a\nprogram that downloads data, reads files, and talks to databases, all that\ntime is *included* in the tracked time by pyinstrument.\n\nThat's really important when debugging performance problems, since Python is\noften used as a 'glue' language between other services. The problem might not\nbe in your program, but you should still be able to find why it's slow.\n\n## Async profiling\n\npyinstrument can profile async programs that use `async` and `await`. This\nasync support works by tracking the 'context' of execution, as provided by the\nbuilt-in [contextvars] module.\n\n[contextvars]: https://docs.python.org/3/library/contextvars.html\n\nWhen you start a Profiler with the {py:attr}`async_mode ` `enabled` or `strict` (not `disabled`), that Profiler is attached to the current async context.\n\nWhen profiling, pyinstrument keeps an eye on the context. When execution exits\nthe context, it captures the `await` stack that caused the context to exit.\nAny time spent outside the context is attributed to the that halted execution\nof the `await`.\n\nAsync contexts are inherited, so tasks started when a profiler is active are\nalso profiled.\n\n
\n\n![Async context inheritance](img/async-context.svg)\n\npyinstrument supports async mode with Asyncio and Trio, other `async`/`await`\nframeworks should work as long as they use [contextvars].\n\n[Greenlet] doesn't use `async` and `await`, and alters the Python stack during\nexecution, so is not fully supported. However, because greenlet also supports\n[contextvars], we can limit profiling to one green thread, using `strict`\nmode. In `strict` mode, whenever your green thread is halted the time will be\ntracked in an `` frame. Alternatively, if you want to see\nwhat's happening when your green thread is halted, you can use\n`async_mode='disabled'` - just be aware that readouts might be misleading if\nmultiple tasks are running concurrently.\n\n[greenlet]: https://pypi.org/project/greenlet/\n" }, { "path": "docs/index.md", "content": "pyinstrument\n============\n\n```{toctree}\n---\nmaxdepth: 2\ncaption: \"Contents\"\n---\nHome \nguide.md\nhow-it-works.md\nreference.md\nGitHub \n```\n\nIndices and tables\n------------------\n\n* {ref}`genindex`\n* {ref}`search`\n" }, { "path": "docs/reference.md", "content": "# API Reference\n\n## Command line interface\n\n``pyinstrument`` works just like ``python``, on the command line, so you can\ncall your scripts like ``pyinstrument script.py`` or ``pyinstrument -m\nmy_module``.\n\nWhen your script ends, or when you kill it with `ctrl-c`, pyinstrument will\nprint a profile report to the console.\n\n```{program-output} pyinstrument --help\n```\n\n## Python API\n\nThe Python API is also available, for calling pyinstrument directly from\nPython and writing integrations with with other tools.\n\n### The `profile` function\n\nFor example:\n\n```python\nwith pyinstrument.profile():\n time.sleep(1)\n```\n\nThis will print something like:\n\n```\npyinstrument ........................................\n.\n. Block at testfile.py:2\n.\n. 1.000 testfile.py:1\n. └─ 1.000 sleep \n.\n.....................................................\n```\n\nYou can also use it as a function/method decorator, like this:\n\n```python\n@pyinstrument.profile()\ndef my_function():\n time.sleep(1)\n```\n\n```{eval-rst}\n.. function:: pyinstrument.profile(*, interval=0.001, async_mode=\"disabled\", \\\n use_timing_thread=None, renderer=None, \\\n target_description=None)\n\n Creates a context-manager or function decorator object, which profiles the given code and prints the output to stdout.\n\n The *interval*, *async_mode* and *use_timing_thread* parameters are passed through to the underlying :class:`pyinstrument.Profiler` object.\n\n You can pass a renderer to customise the output. By default, it uses a :class:`ConsoleRenderer ` with `short_mode` set.\n\n```\n\n### The Profiler object\n\n```{eval-rst}\n.. autoclass:: pyinstrument.Profiler\n :members:\n :special-members: __enter__\n```\n\n### Sessions\n\n```{eval-rst}\n.. autoclass:: pyinstrument.session.Session\n :members:\n```\n\n### Renderers\n\nRenderers transform a tree of {class}`Frame` objects into some form of output.\n\nRendering has two steps:\n\n1. First, the renderer will 'preprocess' the Frame tree, applying each processor in the ``processor`` property, in turn.\n2. The resulting tree is rendered into the desired format.\n\nTherefore, rendering can be customised by changing the ``processors`` property. For example, you can disable time-aggregation (making the profile into a timeline) by removing {func}`aggregate_repeated_calls`.\n\n```{eval-rst}\n.. autoclass:: pyinstrument.renderers.FrameRenderer\n :members:\n\n.. autoclass:: pyinstrument.renderers.ConsoleRenderer\n\n.. autoclass:: pyinstrument.renderers.HTMLRenderer\n :members: preprocessors, preprocessor_options\n\n.. autoclass:: pyinstrument.renderers.JSONRenderer\n\n.. autoclass:: pyinstrument.renderers.SpeedscopeRenderer\n```\n\n### Processors\n\n```{eval-rst}\n.. automodule:: pyinstrument.processors\n :members:\n```\n\n### Internals notes\n\nFrames are recorded by the Profiler in a time-linear fashion. While profiling,\nthe profiler builds a list of frame stacks, with the frames having in format:\n\n function_name filename function_line_number\n\nWhen profiling is complete, this list is turned into a tree structure of\nFrame objects. This tree contains all the information as gathered by the\nprofiler, suitable for a flame render.\n\n#### Frame objects, the call tree, and processors\n\nThe frames are assembled to a call tree by the profiler session. The\ntime-linearity is retained at this stage.\n\nBefore rendering, the call tree is then fed through a sequence of 'processors'\nto transform the tree for output.\n\nThe most interesting is `aggregate_repeated_calls`, which combines different\ninstances of function calls into the same frame. This is intuitive as a\nsummary of where time was spent during execution.\n\nThe rest of the processors focus on removing or hiding irrelevant Frames\nfrom the output.\n\n#### Self time frames vs. frame.self_time\n\nSelf time nodes exist to record time spent in a node, but not in its children.\nBut normal frame objects can have self_time too. Why? frame.self_time is used\nto store the self_time of any nodes that were removed during processing.\n" }, { "path": "examples/aiohttp_web_hello.py", "content": "from asyncio import sleep\nfrom typing import Awaitable, Callable\n\nfrom pyinstrument import Profiler\n\ntry:\n from aiohttp import web\nexcept ImportError:\n print(\"This example requires aiohttp.\")\n print(\"Install using `pip install aiohttp`.\")\n exit(1)\n\n\n@web.middleware\nasync def profiler_middleware(\n request: web.Request,\n handler: Callable[[web.Request], Awaitable[web.StreamResponse]],\n) -> web.StreamResponse:\n with Profiler() as p:\n await handler(request)\n return web.Response(text=p.output_html(), content_type=\"text/html\")\n\n\nroutes = web.RouteTableDef()\n\n\n@routes.get(\"/\")\nasync def get_handler(request: web.Request) -> web.Response:\n y = 1\n for x in range(1, 10000):\n y *= x\n await sleep(0.1)\n return web.Response(text=\"Hello, world!\")\n\n\ndef dev_init(argv):\n \"\"\"Run: python3 -m aiohttp.web -H localhost aiohttp_hello:dev_init\"\"\"\n app = web.Application(middlewares=(profiler_middleware,))\n app.add_routes(routes)\n return app\n" }, { "path": "examples/async_example_simple.py", "content": "import asyncio\n\nfrom pyinstrument import Profiler\n\n\nasync def main():\n p = Profiler()\n with p:\n print(\"Hello ...\")\n await asyncio.sleep(1)\n print(\"... World!\")\n p.print()\n\n\nasyncio.run(main())\n" }, { "path": "examples/async_experiment_1.py", "content": "import asyncio\nimport time\n\nimport pyinstrument\n\n\ndef do_nothing():\n pass\n\n\ndef busy_wait(duration):\n end_time = time.time() + duration\n\n while time.time() < end_time:\n do_nothing()\n\n\nasync def say(what, when, profile=False):\n if profile:\n p = pyinstrument.Profiler()\n p.start()\n else:\n p = None\n\n busy_wait(0.1)\n sleep_start = time.time()\n await asyncio.sleep(when)\n print(f\"slept for {time.time() - sleep_start:.3f} seconds\")\n busy_wait(0.1)\n\n print(what)\n if p:\n p.stop()\n p.print(show_all=True)\n\n\nloop = asyncio.get_event_loop()\n\nloop.create_task(say(\"first hello\", 2, profile=True))\nloop.create_task(say(\"second hello\", 1, profile=True))\nloop.create_task(say(\"third hello\", 3, profile=True))\n\nloop.run_forever()\nloop.close()\n" }, { "path": "examples/async_experiment_3.py", "content": "import asyncio\nimport time\n\nimport trio\n\nimport pyinstrument\n\n\ndef do_nothing():\n pass\n\n\ndef busy_wait(duration):\n end_time = time.time() + duration\n\n while time.time() < end_time:\n do_nothing()\n\n\nasync def say(what, when, profile=False):\n if profile:\n p = pyinstrument.Profiler()\n p.start()\n else:\n p = None\n\n busy_wait(0.1)\n sleep_start = time.time()\n await trio.sleep(when)\n print(f\"slept for {time.time() - sleep_start:.3f} seconds\")\n busy_wait(0.1)\n\n print(what)\n if p:\n p.stop()\n p.print(show_all=True)\n\n\nasync def task():\n async with trio.open_nursery() as nursery:\n nursery.start_soon(say, \"first hello\", 2, True)\n nursery.start_soon(say, \"second hello\", 1, True)\n nursery.start_soon(say, \"third hello\", 3, True)\n\n\ntrio.run(task)\n" }, { "path": "examples/busy_wait.py", "content": "import time\n\n\ndef function_1():\n pass\n\n\ndef function_2():\n pass\n\n\ndef main():\n start_time = time.time()\n\n while time.time() < start_time + 0.25:\n function_1()\n function_2()\n\n\nif __name__ == \"__main__\":\n main()\n" }, { "path": "examples/c_sort.py", "content": "\"\"\"\nlist.sort is interesting in that it calls a C function, that calls back to a\nPython function. In an ideal world, we'd be able to record the time inside the\nPython function _inside_ list.sort, but it's not possible currently, due to\nthe way that Python records frame objects.\n\nPerhaps one day we could add some functionality to pyinstrument_cext to keep\na parallel stack containing both C and Python frames. But for now, this is\nfine.\n\"\"\"\n\nimport sys\nimport time\n\nimport numpy as np\n\narr = np.random.randint(0, 10, 10)\n\n# def print_profiler(frame, event, arg):\n# if event.startswith('c_'):\n# print(event, arg, getattr(arg, '__qualname__', arg.__name__), arg.__module__)\n# else:\n# print(event, frame.f_code.co_name)\n\n# sys.setprofile(print_profiler)\n\n\ndef slow_key(el):\n time.sleep(0.01)\n return 0\n\n\nfor i in range(10):\n list(arr).sort(key=slow_key)\n\n# sys.setprofile(None)\n" }, { "path": "examples/context_api.py", "content": "import os\nimport pprint\nimport sys\nimport time\n\npprint.pprint(sys.path)\nimport pyinstrument\n\n\n@pyinstrument.profile()\ndef main():\n py_file_count = 0\n py_file_size = 0\n\n print(\"Start.\")\n print(\"scanning home dir...\")\n\n with pyinstrument.profile():\n for dir_path, dirnames, filenames in os.walk(os.path.expanduser(\"~/Music\")):\n for filename in filenames:\n file_path = os.path.join(dir_path, filename)\n _, ext = os.path.splitext(file_path)\n if ext == \".py\":\n py_file_count += 1\n try:\n py_file_size += os.stat(file_path).st_size\n except:\n pass\n\n print(\"There are {} python files on your system.\".format(py_file_count))\n print(\"Total size: {} kB\".format(py_file_size / 1024))\n\n\nclass A:\n @pyinstrument.profile()\n def foo(self):\n time.sleep(0.1)\n\n\nif __name__ == \"__main__\":\n a = A()\n a.foo()\n main()\n" }, { "path": "examples/demo_scripts/django_example/.gitignore", "content": "db.sqlite3\n" }, { "path": "examples/demo_scripts/django_example/README.md", "content": "\nThis is a simple simple test rig to develop pyinstrument's Django middleware\n" }, { "path": "examples/demo_scripts/django_example/django_example/__init__.py", "content": "" }, { "path": "examples/demo_scripts/django_example/django_example/settings.py", "content": "import os\n\nBASE_DIR = os.path.dirname(os.path.dirname(__file__))\n\nDATABASES = {\n \"default\": {\n \"ENGINE\": \"django.db.backends.sqlite3\",\n \"NAME\": os.path.join(BASE_DIR, \"db.sqlite3\"),\n }\n}\n\nDEBUG = True\nTEMPLATE_DEBUG = True\n\nSECRET_KEY = \"qg7_r+b@)(--as*(4ls$j$$(9i(pl_@y$g0j0r+!=@&$he(+o%\"\n\nROOT_URLCONF = \"django_example.urls\"\n\nINSTALLED_APPS = (\n \"django_example\",\n \"django.contrib.admin\",\n \"django.contrib.contenttypes\",\n \"django.contrib.auth\",\n \"django.contrib.sessions\",\n \"django.contrib.messages\",\n)\n\nMIDDLEWARE = (\n \"django.contrib.sessions.middleware.SessionMiddleware\",\n \"django.middleware.common.CommonMiddleware\",\n \"django.middleware.csrf.CsrfViewMiddleware\",\n \"django.contrib.auth.middleware.AuthenticationMiddleware\",\n \"django.contrib.messages.middleware.MessageMiddleware\",\n \"django.middleware.clickjacking.XFrameOptionsMiddleware\",\n \"pyinstrument.middleware.ProfilerMiddleware\",\n)\n\nTEMPLATES = [\n {\n \"BACKEND\": \"django.template.backends.django.DjangoTemplates\",\n \"APP_DIRS\": True,\n \"OPTIONS\": {\n \"context_processors\": [\n \"django.template.context_processors.debug\",\n \"django.template.context_processors.request\",\n \"django.contrib.auth.context_processors.auth\",\n \"django.contrib.messages.context_processors.messages\",\n \"django.template.context_processors.i18n\",\n \"django.template.context_processors.media\",\n \"django.template.context_processors.csrf\",\n \"django.template.context_processors.tz\",\n \"django.template.context_processors.static\",\n ],\n },\n },\n]\n\n\ndef custom_show_pyinstrument(request):\n return request.user.is_superuser\n\n\nPYINSTRUMENT_SHOW_CALLBACK = \"%s.custom_show_pyinstrument\" % __name__\nPYINSTRUMENT_INTERVAL = 0.001\n" }, { "path": "examples/demo_scripts/django_example/django_example/templates/template.html", "content": "{% extends \"template_base.html\" %}\n\n{% block content %}\n {% spaceless %}\n something\n {% endspaceless %}\n{% endblock content %}\n" }, { "path": "examples/demo_scripts/django_example/django_example/templates/template_base.html", "content": "\n\n\n\n {% block content %}\n {% endblock %}\n\n\n" }, { "path": "examples/demo_scripts/django_example/django_example/urls.py", "content": "from django.contrib import admin\nfrom django.urls import include, path\n\nfrom . import views\n\nurlpatterns = [\n path(\"admin/\", admin.site.urls),\n path(r\"^$\", views.hello_world),\n]\n" }, { "path": "examples/demo_scripts/django_example/django_example/views.py", "content": "import time\n\nfrom django.http import HttpResponse\n\n\ndef hello_world(request):\n # do some useless work to delay this call a bit\n y = 1\n for x in range(1, 10000):\n y *= x\n time.sleep(0.1)\n\n return HttpResponse(\"Hello, world!\") # type: ignore\n" }, { "path": "examples/demo_scripts/django_example/manage.py", "content": "#!/usr/bin/env python\nimport os\nimport sys\n\nif __name__ == \"__main__\":\n os.environ.setdefault(\"DJANGO_SETTINGS_MODULE\", \"django_example.settings\")\n\n from django.core.management import execute_from_command_line\n\n execute_from_command_line(sys.argv)\n" }, { "path": "examples/demo_scripts/django_template_render.py", "content": "import os\nfrom optparse import OptionParser\n\ntry:\n import django\nexcept ImportError:\n print(\"This example requires Django.\")\n print(\"Install using `pip install Django`.\")\n exit(1)\n\nimport django.conf\nimport django.template.loader\n\n\ndef main():\n parser = OptionParser()\n parser.add_option(\n \"-i\",\n \"--iterations\",\n dest=\"iterations\",\n action=\"store\",\n type=\"int\",\n help=\"number of template render calls to make\",\n default=200,\n )\n options, _ = parser.parse_args()\n\n os.chdir(os.path.dirname(__file__))\n\n django.conf.settings.configure(\n INSTALLED_APPS=(),\n TEMPLATES=[\n {\n \"BACKEND\": \"django.template.backends.django.DjangoTemplates\",\n \"DIRS\": [\"./django_example/django_example/templates\"],\n }\n ],\n )\n django.setup()\n\n render_templates(options.iterations)\n\n\ndef render_templates(iterations: int):\n for _ in range(0, iterations):\n django.template.loader.render_to_string(\"template.html\")\n\n\nif __name__ == \"__main__\":\n main()\n" }, { "path": "examples/demo_scripts/sympy_calculation.py", "content": "# All right, here is a reproducer (sympy 1.12, pyinstrument 4.5.3, Python 3.11.5).\n# With python sympy_instrument.py, prints This took 0:00:00.636278\n# With pyinstrument sympy_instrument.py, prints This took 0:00:12.355938\n\nfrom datetime import datetime\n\nfrom sympy import FF, Poly, Rational, symbols, sympify # type: ignore\n\n\ndef do_thing():\n # Some elliptic curve crypto stuff that is not important\n field = 0xFFFFFFFF00000001000000000000000000000000FFFFFFFFFFFFFFFFFFFFFFFF\n params = {\n \"a\": 0xFFFFFFFF00000001000000000000000000000000FFFFFFFFFFFFFFFFFFFFFFFC,\n \"b\": 0x5AC635D8AA3A93E7B3EBBD55769886BC651D06B0CC53B0F63BCE3C3E27D2604B,\n }\n k = FF(field)\n expr = sympify(f\"3*b - b3\", evaluate=False)\n for curve_param, value in params.items():\n expr = expr.subs(curve_param, k(value))\n param = str(expr.free_symbols.pop())\n\n def resolve(expression, k):\n if not expression.args:\n return expression\n args = []\n for arg in expression.args:\n if isinstance(arg, Rational):\n a = arg.p\n b = arg.q\n res = k(a) / k(b)\n else:\n res = resolve(arg, k)\n args.append(res)\n return expression.func(*args)\n\n expr = resolve(expr, k)\n poly = Poly(expr, symbols(param), domain=k)\n roots = poly.ground_roots()\n for root in roots:\n params[param] = int(root)\n break\n\n\nif __name__ == \"__main__\":\n start = datetime.now()\n for _ in range(1000):\n do_thing()\n end = datetime.now()\n print(\"This took\", end - start)\n" }, { "path": "examples/demo_scripts/wikipedia_article_word_count.py", "content": "import json\n\ntry:\n from urllib.request import Request, urlopen\nexcept ImportError:\n from urllib2 import Request, urlopen # type: ignore\n\nimport collections\nimport operator\nimport sys\n\nWIKIPEDIA_ARTICLE_API_URL = \"https://en.wikipedia.org/w/api.php?action=query&titles=Spoon&prop=revisions&rvprop=content&format=json\"\n\n\ndef download():\n headers = {\"User-Agent\": \"pyinstrument demo script\"}\n req = Request(WIKIPEDIA_ARTICLE_API_URL, headers=headers)\n return urlopen(req).read()\n\n\ndef parse(json_data):\n return json.loads(json_data)\n\n\ndef most_common_words(page):\n word_occurences = collections.defaultdict(int)\n\n for revision in page[\"revisions\"]:\n article = revision[\"*\"]\n\n for word in article.split():\n if len(word) < 2:\n continue\n word_occurences[word] += 1\n\n word_list = sorted(word_occurences.items(), key=operator.itemgetter(1), reverse=True)\n\n return word_list[0:5]\n\n\ndef main():\n data = parse(download())\n page = list(data[\"query\"][\"pages\"].values())[0]\n\n sys.stderr.write(\"This most common words were %s\\n\" % most_common_words(page))\n\n\nif __name__ == \"__main__\":\n main()\n" }, { "path": "examples/falcon_hello.py", "content": "import time\n\nfrom pyinstrument import Profiler\n\ntry:\n import falcon\n\n PROFILING = True # Use environment variable for setting it\nexcept ImportError:\n print(\"This example requires falcon.\")\n print(\"Install using `pip install falcon`.\")\n exit(1)\n\n\nclass ProfilerMiddleware:\n def __init__(self, interval=0.01):\n self.profiler = Profiler(interval=interval)\n\n def process_request(self, req, resp):\n self.profiler.start()\n\n def process_response(self, req, resp, resource, req_succeeded):\n self.profiler.stop()\n self.profiler.open_in_browser() # Autoloads the file in default browser\n\n\nclass HelloResource:\n def on_get(self, req, resp):\n time.sleep(1)\n resp.media = \"hello\"\n\n\napp = falcon.App()\nif PROFILING:\n app.add_middleware(ProfilerMiddleware())\napp.add_route(\"/\", HelloResource())\n" }, { "path": "examples/falcon_hello_file.py", "content": "import time\nfrom datetime import datetime\n\nfrom pyinstrument import Profiler\n\ntry:\n import falcon\n\n PROFILING = True # Use environment variable for setting it\nexcept ImportError:\n print(\"This example requires falcon.\")\n print(\"Install using `pip install falcon`.\")\n exit(1)\n\n\nclass ProfilerMiddleware:\n filename = \"pyinstrument-profile\"\n\n def __init__(self, interval=0.01):\n self.profiler = Profiler(interval=interval)\n\n def process_request(self, req, resp):\n self.profiler.start()\n\n def process_response(self, req, resp, resource, req_succeeded):\n self.profiler.stop()\n filename = f\"{self.filename}-{datetime.now().strftime('%m%d%Y-%H%M%S')}.html\"\n with open(filename, \"w\") as file:\n file.write(self.profiler.output_html())\n\n\nclass HelloResource:\n def on_get(self, req, resp):\n time.sleep(1)\n resp.media = \"hello\"\n\n\napp = falcon.App()\nif PROFILING:\n app.add_middleware(ProfilerMiddleware())\napp.add_route(\"/\", HelloResource())\n" }, { "path": "examples/flask_hello.py", "content": "import time\n\nfrom pyinstrument import Profiler\n\ntry:\n from flask import Flask, g, make_response, request\nexcept ImportError:\n print(\"This example requires Flask.\")\n print(\"Install using `pip install flask`.\")\n exit(1)\n\napp = Flask(__name__)\n\n\n@app.before_request\ndef before_request():\n if \"profile\" in request.args:\n g.profiler = Profiler()\n g.profiler.start()\n\n\n@app.after_request\ndef after_request(response):\n if not hasattr(g, \"profiler\"):\n return response\n g.profiler.stop()\n output_html = g.profiler.output_html()\n return make_response(output_html)\n\n\n@app.route(\"/\")\ndef hello_world():\n return \"Hello, World!\"\n\n\n@app.route(\"/sleep\")\ndef sleep():\n time.sleep(0.1)\n return \"Good morning!\"\n\n\n@app.route(\"/dosomething\")\ndef do_something():\n import requests\n\n requests.get(\"http://google.com\")\n return \"Google says hello!\"\n" }, { "path": "examples/litestar_hello.py", "content": "from __future__ import annotations\n\nfrom asyncio import sleep\n\nfrom litestar import Litestar, get\nfrom litestar.middleware import MiddlewareProtocol\nfrom litestar.types import ASGIApp, Message, Receive, Scope, Send\n\nfrom pyinstrument import Profiler\n\n\nclass ProfilingMiddleware(MiddlewareProtocol):\n def __init__(self, app: ASGIApp) -> None:\n super().__init__(app) # type: ignore\n self.app = app\n\n async def __call__(self, scope: Scope, receive: Receive, send: Send) -> None:\n profiler = Profiler(interval=0.001, async_mode=\"enabled\")\n profiler.start()\n profile_html: str | None = None\n\n async def send_wrapper(message: Message) -> None:\n if message[\"type\"] == \"http.response.start\":\n profiler.stop()\n nonlocal profile_html\n profile_html = profiler.output_html()\n message[\"headers\"] = [\n (b\"content-type\", b\"text/html; charset=utf-8\"),\n (b\"content-length\", str(len(profile_html)).encode()),\n ]\n elif message[\"type\"] == \"http.response.body\":\n assert profile_html is not None\n message[\"body\"] = profile_html.encode()\n await send(message)\n\n await self.app(scope, receive, send_wrapper)\n\n\n@get(\"/\")\nasync def index() -> str:\n await sleep(1)\n return \"Hello, world!\"\n\n\napp = Litestar(\n route_handlers=[index],\n middleware=[ProfilingMiddleware],\n)\n" }, { "path": "examples/np_c_function.py", "content": "import sys\n\nimport numpy as np\n\narr = np.random.randint(0, 10000, 10000)\n\n# def print_profiler(frame, event, arg):\n# print(event, arg, getattr(arg, '__qualname__', arg.__name__), arg.__module__, dir(arg))\n\n# sys.setprofile(print_profiler)\n\nfor i in range(10000):\n arr.cumsum()\n\n# sys.setprofile(None)\n" }, { "path": "examples/tbhide_demo.py", "content": "import time\n\n\ndef D():\n time.sleep(0.7)\n\n\ndef C():\n __tracebackhide__ = True\n time.sleep(0.1)\n D()\n\n\ndef B():\n __tracebackhide__ = True\n time.sleep(0.1)\n C()\n\n\ndef A():\n time.sleep(0.1)\n B()\n\n\nA()\n" }, { "path": "html_renderer/.editorconfig", "content": "# EditorConfig is awesome: https://EditorConfig.org\n\n\n[*]\nindent_style = space\nindent_size = 4\nend_of_line = lf\ncharset = utf-8\ntrim_trailing_whitespace = true\ninsert_final_newline = true\n\n[*.svelte]\nindent_size = 2\n\n[*.html]\nindent_size = 2\n" }, { "path": "html_renderer/.gitignore", "content": "# Logs\nlogs\n*.log\nnpm-debug.log*\nyarn-debug.log*\nyarn-error.log*\npnpm-debug.log*\nlerna-debug.log*\n\nnode_modules\ndist\ndist-ssr\n*.local\n/stats.html\n\n# Editor directories and files\n.vscode/*\n!.vscode/extensions.json\n.idea\n.DS_Store\n*.suo\n*.ntvs*\n*.njsproj\n*.sln\n*.sw?\n" }, { "path": "html_renderer/demo-data/django_template_render.json", "content": "{\"session\": {\"start_time\": 1727459143.227702, \"duration\": 0.1257030963897705, \"min_interval\": 0.001, \"max_interval\": 0.001, \"sample_count\": 117, \"start_call_stack\": [\"MainThread\\u0000\\u00008219610944\", \"\\u0000/Users/joerick/Projects/pyinstrument/env/bin/pyinstrument\\u00001\\u0001l8\", \"main\\u0000/Users/joerick/Projects/pyinstrument/pyinstrument/__main__.py\\u000029\\u0001l379\"], \"target_description\": \"Program: examples/demo_scripts/django_template_render.py\", \"cpu_time\": 0.116475, \"sys_path\": [\"examples/demo_scripts\", \"/Library/Frameworks/Python.framework/Versions/3.10/lib/python310.zip\", \"/Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10\", \"/Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/lib-dynload\", \"/Users/joerick/Projects/pyinstrument/env/lib/python3.10/site-packages\", \"__editable__.pyinstrument-4.6.2.finder.__path_hook__\"], \"sys_prefixes\": [\"/Library/Frameworks/Python.framework/Versions/3.10\", \"/Users/joerick/Projects/pyinstrument/env\"]}, \"frame_tree\": {\"identifier\": \"main\\u0000/Users/joerick/Projects/pyinstrument/pyinstrument/__main__.py\\u000029\",\"time\": 0.125509,\"attributes\": {\"l383\": 0.1255092500068713},\"children\": [{\"identifier\": \"\\u0000\\u00001\",\"time\": 0.125509,\"attributes\": {\"l1\": 0.1255092500068713},\"children\": [{\"identifier\": \"run_path\\u0000/Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/runpy.py\\u0000260\",\"time\": 0.125509,\"attributes\": {\"l289\": 0.1255092500068713},\"children\": [{\"identifier\": \"_run_module_code\\u0000/Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/runpy.py\\u000089\",\"time\": 0.125509,\"attributes\": {\"l96\": 0.1255092500068713},\"children\": [{\"identifier\": \"_run_code\\u0000/Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/runpy.py\\u000063\",\"time\": 0.125509,\"attributes\": {\"l86\": 0.1255092500068713},\"children\": [{\"identifier\": \"\\u0000examples/demo_scripts/django_template_render.py\\u00001\",\"time\": 0.125509,\"attributes\": {\"l5\": 0.0033853330241981894, \"l11\": 0.0314499169762712, \"l12\": 0.016375583014450967, \"l49\": 0.07429841699195094},\"children\": [{\"identifier\": \"_find_and_load\\u0000\\u00001022\",\"time\": 0.051211,\"attributes\": {\"l1027\": 0.051210833014920354},\"children\": [{\"identifier\": \"_find_and_load_unlocked\\u0000\\u0000987\",\"time\": 0.051211,\"attributes\": {\"l1006\": 0.03483525000046939, \"l992\": 0.016375583014450967},\"children\": [{\"identifier\": \"_load_unlocked\\u0000\\u0000664\",\"time\": 0.034835,\"attributes\": {\"l688\": 0.03483525000046939},\"children\": [{\"identifier\": \"exec_module\\u0000\\u0000877\",\"time\": 0.034835,\"attributes\": {\"cSourceFileLoader\": 0.03483525000046939, \"l883\": 0.03483525000046939},\"children\": [{\"identifier\": \"_call_with_frames_removed\\u0000\\u0000233\",\"time\": 0.034835,\"attributes\": {\"l241\": 0.03483525000046939},\"children\": [{\"identifier\": \"\\u0000/Users/joerick/Projects/pyinstrument/env/lib/python3.10/site-packages/django/__init__.py\\u00001\",\"time\": 0.003385,\"attributes\": {\"l1\": 0.0033853330241981894},\"children\": [{\"identifier\": \"_find_and_load\\u0000\\u00001022\",\"time\": 0.003385,\"attributes\": {\"l1027\": 0.0033853330241981894},\"children\": [{\"identifier\": \"_find_and_load_unlocked\\u0000\\u0000987\",\"time\": 0.003385,\"attributes\": {\"l992\": 0.0010544170218054205, \"l1006\": 0.002330916002392769},\"children\": [{\"identifier\": \"_call_with_frames_removed\\u0000\\u0000233\",\"time\": 0.001054,\"attributes\": {\"l241\": 0.0010544170218054205},\"children\": [{\"identifier\": \"_find_and_load\\u0000\\u00001022\",\"time\": 0.001054,\"attributes\": {\"l1027\": 0.0010544170218054205},\"children\": [{\"identifier\": \"_find_and_load_unlocked\\u0000\\u0000987\",\"time\": 0.001054,\"attributes\": {\"l1002\": 0.0010544170218054205},\"children\": [{\"identifier\": \"_find_spec\\u0000\\u0000921\",\"time\": 0.001054,\"attributes\": {\"l945\": 0.0010544170218054205},\"children\": [{\"identifier\": \"find_spec\\u0000\\u00001431\",\"time\": 0.001054,\"attributes\": {\"cPathFinder\": 0.0010544170218054205, \"l1439\": 0.0010544170218054205},\"children\": [{\"identifier\": \"_get_spec\\u0000\\u00001399\",\"time\": 0.001054,\"attributes\": {\"cPathFinder\": 0.0010544170218054205, \"l1411\": 0.0010544170218054205},\"children\": [{\"identifier\": \"find_spec\\u0000\\u00001536\",\"time\": 0.001054,\"attributes\": {\"cFileFinder\": 0.0010544170218054205, \"l1548\": 0.0010544170218054205},\"children\": [{\"identifier\": \"_fill_cache\\u0000\\u00001587\",\"time\": 0.001054,\"attributes\": {\"cFileFinder\": 0.0010544170218054205, \"l1591\": 0.0010544170218054205},\"children\": [{\"identifier\": \"listdir\\u0000\\u00000\",\"time\": 0.001054,\"attributes\": {},\"children\": [{\"identifier\": \"[self]\",\"time\": 0.001054,\"attributes\": {},\"children\": []}]}]}]}]}]}]}]}]}]},{\"identifier\": \"_load_unlocked\\u0000\\u0000664\",\"time\": 0.002331,\"attributes\": {\"l688\": 0.002330916002392769},\"children\": [{\"identifier\": \"exec_module\\u0000\\u0000877\",\"time\": 0.002331,\"attributes\": {\"cSourceFileLoader\": 0.002330916002392769, \"l883\": 0.002330916002392769},\"children\": [{\"identifier\": \"_call_with_frames_removed\\u0000\\u0000233\",\"time\": 0.002331,\"attributes\": {\"l241\": 0.002330916002392769},\"children\": [{\"identifier\": \"\\u0000/Users/joerick/Projects/pyinstrument/env/lib/python3.10/site-packages/django/utils/version.py\\u00001\",\"time\": 0.002331,\"attributes\": {\"l1\": 0.0013325829932000488, \"l7\": 0.00099833300919272},\"children\": [{\"identifier\": \"_find_and_load\\u0000\\u00001022\",\"time\": 0.002331,\"attributes\": {\"l1027\": 0.002330916002392769},\"children\": [{\"identifier\": \"_find_and_load_unlocked\\u0000\\u0000987\",\"time\": 0.002331,\"attributes\": {\"l1006\": 0.002330916002392769},\"children\": [{\"identifier\": \"_load_unlocked\\u0000\\u0000664\",\"time\": 0.002331,\"attributes\": {\"l688\": 0.002330916002392769},\"children\": [{\"identifier\": \"exec_module\\u0000\\u0000877\",\"time\": 0.002331,\"attributes\": {\"cSourceFileLoader\": 0.002330916002392769, \"l883\": 0.002330916002392769},\"children\": [{\"identifier\": \"_call_with_frames_removed\\u0000\\u0000233\",\"time\": 0.002331,\"attributes\": {\"l241\": 0.002330916002392769},\"children\": [{\"identifier\": \"\\u0000/Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/datetime.py\\u00001\",\"time\": 0.001333,\"attributes\": {\"l2506\": 0.0013325829932000488},\"children\": [{\"identifier\": \"_find_and_load\\u0000\\u00001022\",\"time\": 0.001333,\"attributes\": {\"l1027\": 0.0013325829932000488},\"children\": [{\"identifier\": \"_find_and_load_unlocked\\u0000\\u0000987\",\"time\": 0.001333,\"attributes\": {\"l1006\": 0.0013325829932000488},\"children\": [{\"identifier\": \"_load_unlocked\\u0000\\u0000664\",\"time\": 0.001333,\"attributes\": {\"l674\": 0.0013325829932000488},\"children\": [{\"identifier\": \"module_from_spec\\u0000\\u0000564\",\"time\": 0.001333,\"attributes\": {\"l571\": 0.0013325829932000488},\"children\": [{\"identifier\": \"create_module\\u0000\\u00001174\",\"time\": 0.001333,\"attributes\": 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0.0041838340112008154},\"children\": [{\"identifier\": \"search_function\\u0000/Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/encodings/__init__.py\\u000071\",\"time\": 0.001052,\"attributes\": {\"l99\": 0.001051917002769187},\"children\": [{\"identifier\": \"_find_and_load\\u0000\\u00001022\",\"time\": 0.001052,\"attributes\": {\"l1027\": 0.001051917002769187},\"children\": [{\"identifier\": \"_find_and_load_unlocked\\u0000\\u0000987\",\"time\": 0.001052,\"attributes\": {\"l1006\": 0.001051917002769187},\"children\": [{\"identifier\": \"_load_unlocked\\u0000\\u0000664\",\"time\": 0.001052,\"attributes\": {\"l688\": 0.001051917002769187},\"children\": [{\"identifier\": \"exec_module\\u0000\\u0000877\",\"time\": 0.001052,\"attributes\": {\"cSourceFileLoader\": 0.001051917002769187, \"l883\": 0.001051917002769187},\"children\": [{\"identifier\": \"_call_with_frames_removed\\u0000\\u0000233\",\"time\": 0.001052,\"attributes\": {\"l241\": 0.001051917002769187},\"children\": [{\"identifier\": \"\\u0000/Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/encodings/idna.py\\u00001\",\"time\": 0.001052,\"attributes\": {\"l7\": 0.001051917002769187},\"children\": [{\"identifier\": \"compile\\u0000/Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/re.py\\u0000249\",\"time\": 0.001052,\"attributes\": {\"l251\": 0.001051917002769187},\"children\": [{\"identifier\": \"_compile\\u0000/Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/re.py\\u0000288\",\"time\": 0.001052,\"attributes\": {\"l303\": 0.001051917002769187},\"children\": [{\"identifier\": \"compile\\u0000/Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/sre_compile.py\\u0000783\",\"time\": 0.001052,\"attributes\": {\"l792\": 0.001051917002769187},\"children\": [{\"identifier\": \"_code\\u0000/Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/sre_compile.py\\u0000622\",\"time\": 0.001052,\"attributes\": {\"l628\": 0.001051917002769187},\"children\": [{\"identifier\": \"_compile_info\\u0000/Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/sre_compile.py\\u0000560\",\"time\": 0.001052,\"attributes\": {\"l614\": 0.001051917002769187},\"children\": [{\"identifier\": \"_optimize_charset\\u0000/Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/sre_compile.py\\u0000292\",\"time\": 0.001052,\"attributes\": {\"l426\": 0.001051917002769187},\"children\": [{\"identifier\": \"[self]\",\"time\": 0.001052,\"attributes\": {},\"children\": []}]}]}]}]}]}]}]}]}]}]}]}]}]},{\"identifier\": \"getaddrinfo\\u0000\\u00000\",\"time\": 0.003132,\"attributes\": {},\"children\": [{\"identifier\": \"[self]\",\"time\": 0.003132,\"attributes\": {},\"children\": []}]}]},{\"identifier\": \"socket.connect\\u0000\\u00000\",\"time\": 0.022414,\"attributes\": {},\"children\": [{\"identifier\": \"[self]\",\"time\": 0.022414,\"attributes\": {},\"children\": []}]}]}]},{\"identifier\": \"wrap_socket\\u0000/Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/ssl.py\\u0000507\",\"time\": 0.031979,\"attributes\": {\"cSSLContext\": 0.031978792016161606, \"l513\": 0.031978792016161606},\"children\": [{\"identifier\": \"_create\\u0000/Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/ssl.py\\u00001014\",\"time\": 0.031979,\"attributes\": {\"cSSLSocket\": 0.031978792016161606, \"l1071\": 0.031978792016161606},\"children\": [{\"identifier\": \"do_handshake\\u0000/Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/ssl.py\\u00001335\",\"time\": 0.031979,\"attributes\": {\"cSSLSocket\": 0.031978792016161606, \"l1342\": 0.031978792016161606},\"children\": [{\"identifier\": \"_SSLSocket.do_handshake\\u0000\\u00000\",\"time\": 0.031979,\"attributes\": {},\"children\": [{\"identifier\": \"[self]\",\"time\": 0.031979,\"attributes\": {},\"children\": []}]}]}]}]}]}]}]}]}]}]},{\"identifier\": \"getresponse\\u0000/Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/http/client.py\\u00001330\",\"time\": 0.316328,\"attributes\": {\"cHTTPSConnection\": 0.3163282079913188, \"l1374\": 0.3163282079913188},\"children\": [{\"identifier\": \"begin\\u0000/Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/http/client.py\\u0000311\",\"time\": 0.316328,\"attributes\": {\"cHTTPResponse\": 0.3163282079913188, \"l318\": 0.31534316699253395, \"l337\": 0.0009850409987848252},\"children\": [{\"identifier\": \"_read_status\\u0000/Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/http/client.py\\u0000278\",\"time\": 0.315343,\"attributes\": {\"cHTTPResponse\": 0.31534316699253395, \"l279\": 0.31534316699253395},\"children\": [{\"identifier\": \"readinto\\u0000/Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/socket.py\\u0000691\",\"time\": 0.315343,\"attributes\": {\"cSocketIO\": 0.31534316699253395, \"l705\": 0.31534316699253395},\"children\": [{\"identifier\": \"recv_into\\u0000/Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/ssl.py\\u00001263\",\"time\": 0.315343,\"attributes\": {\"cSSLSocket\": 0.31534316699253395, \"l1274\": 0.31534316699253395},\"children\": [{\"identifier\": \"read\\u0000/Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/ssl.py\\u00001121\",\"time\": 0.315343,\"attributes\": {\"cSSLSocket\": 0.31534316699253395, \"l1130\": 0.31534316699253395},\"children\": [{\"identifier\": \"_SSLSocket.read\\u0000\\u00000\",\"time\": 0.315343,\"attributes\": {},\"children\": [{\"identifier\": \"[self]\",\"time\": 0.315343,\"attributes\": {},\"children\": []}]}]}]}]}]},{\"identifier\": \"parse_headers\\u0000/Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/http/client.py\\u0000224\",\"time\": 0.000985,\"attributes\": {\"l236\": 0.0009850409987848252},\"children\": [{\"identifier\": \"parsestr\\u0000/Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/email/parser.py\\u000059\",\"time\": 0.000985,\"attributes\": {\"cParser\": 0.0009850409987848252, \"l67\": 0.0009850409987848252},\"children\": [{\"identifier\": \"parse\\u0000/Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/email/parser.py\\u000041\",\"time\": 0.000985,\"attributes\": {\"cParser\": 0.0009850409987848252, \"l57\": 0.0009850409987848252},\"children\": [{\"identifier\": \"close\\u0000/Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/email/feedparser.py\\u0000184\",\"time\": 0.000985,\"attributes\": {\"cFeedParser\": 0.0009850409987848252, \"l191\": 0.0009850409987848252},\"children\": [{\"identifier\": \"get_content_maintype\\u0000/Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/email/message.py\\u0000588\",\"time\": 0.000985,\"attributes\": {\"cHTTPMessage\": 0.0009850409987848252, \"l594\": 0.0009850409987848252},\"children\": [{\"identifier\": \"get_content_type\\u0000/Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/email/message.py\\u0000564\",\"time\": 0.000985,\"attributes\": {\"cHTTPMessage\": 0.0009850409987848252, \"l578\": 0.0009850409987848252},\"children\": [{\"identifier\": \"get\\u0000/Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/email/message.py\\u0000462\",\"time\": 0.000985,\"attributes\": {\"cHTTPMessage\": 0.0009850409987848252, \"l471\": 0.0009850409987848252},\"children\": [{\"identifier\": \"header_fetch_parse\\u0000/Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/email/_policybase.py\\u0000311\",\"time\": 0.000985,\"attributes\": {\"cCompat32\": 0.0009850409987848252, \"l316\": 0.0009850409987848252},\"children\": [{\"identifier\": \"_sanitize_header\\u0000/Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/email/_policybase.py\\u0000281\",\"time\": 0.000985,\"attributes\": {\"cCompat32\": 0.0009850409987848252, \"l284\": 0.0009850409987848252},\"children\": [{\"identifier\": \"[self]\",\"time\": 0.000985,\"attributes\": {},\"children\": []}]}]}]}]}]}]}]}]}]}]}]}]}]}]}]}]}]},{\"identifier\": \"read\\u0000/Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/http/client.py\\u0000450\",\"time\": 0.006458,\"attributes\": {\"cHTTPResponse\": 0.006458292016759515, \"l459\": 0.006458292016759515},\"children\": [{\"identifier\": \"_read_chunked\\u0000/Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/http/client.py\\u0000577\",\"time\": 0.006458,\"attributes\": {\"cHTTPResponse\": 0.006458292016759515, \"l582\": 0.006458292016759515},\"children\": [{\"identifier\": \"_get_chunk_left\\u0000/Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/http/client.py\\u0000553\",\"time\": 0.006458,\"attributes\": {\"cHTTPResponse\": 0.006458292016759515, \"l565\": 0.004008749994682148, \"l572\": 0.0024495420220773667},\"children\": [{\"identifier\": \"_read_next_chunk_size\\u0000/Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/http/client.py\\u0000523\",\"time\": 0.004009,\"attributes\": {\"cHTTPResponse\": 0.004008749994682148, \"l525\": 0.004008749994682148},\"children\": [{\"identifier\": \"readinto\\u0000/Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/socket.py\\u0000691\",\"time\": 0.004009,\"attributes\": {\"cSocketIO\": 0.004008749994682148, \"l705\": 0.004008749994682148},\"children\": [{\"identifier\": \"recv_into\\u0000/Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/ssl.py\\u00001263\",\"time\": 0.004009,\"attributes\": {\"cSSLSocket\": 0.004008749994682148, \"l1274\": 0.004008749994682148},\"children\": [{\"identifier\": \"read\\u0000/Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/ssl.py\\u00001121\",\"time\": 0.004009,\"attributes\": {\"cSSLSocket\": 0.004008749994682148, \"l1130\": 0.004008749994682148},\"children\": [{\"identifier\": \"_SSLSocket.read\\u0000\\u00000\",\"time\": 0.004009,\"attributes\": {},\"children\": [{\"identifier\": \"[self]\",\"time\": 0.004009,\"attributes\": {},\"children\": []}]}]}]}]}]},{\"identifier\": \"_close_conn\\u0000/Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/http/client.py\\u0000412\",\"time\": 0.002450,\"attributes\": {\"cHTTPResponse\": 0.0024495420220773667, \"l415\": 0.0024495420220773667},\"children\": [{\"identifier\": \"close\\u0000/Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/socket.py\\u0000768\",\"time\": 0.002450,\"attributes\": {\"cSocketIO\": 0.0024495420220773667, \"l776\": 0.0024495420220773667},\"children\": [{\"identifier\": \"[self]\",\"time\": 0.002450,\"attributes\": {},\"children\": []}]}]}]}]}]}]},{\"identifier\": \"most_common_words\\u0000examples/demo_scripts/wikipedia_article_word_count.py\\u000023\",\"time\": 0.003333,\"attributes\": {\"l30\": 0.001996249979129061, \"l34\": 0.0013372079993132502},\"children\": [{\"identifier\": \"[self]\",\"time\": 0.000998,\"attributes\": {},\"children\": []},{\"identifier\": \"[self]\",\"time\": 0.000998,\"attributes\": {},\"children\": []},{\"identifier\": \"sorted\\u0000\\u00000\",\"time\": 0.001337,\"attributes\": {},\"children\": [{\"identifier\": \"[self]\",\"time\": 0.001337,\"attributes\": {},\"children\": []}]}]}]}]}]}]}]}]}]}}\n" }, { "path": "html_renderer/demo-src/DemoApp.svelte", "content": "\n\n
\n
\n
\n
\n Choose a demo profile:\n \n
\n
\n
\n {#if loading}\n
Loading...
\n {:else if error}\n
Error loading file: {error.message}
\n {/if}\n\n
\n
\n
\n\n\n" }, { "path": "html_renderer/demo-src/main.ts", "content": "import DemoApp from \"./DemoApp.svelte\";\n\nnew DemoApp({\n target: document.body,\n});\n" }, { "path": "html_renderer/index.html", "content": "\n\n \n \n \n \n Pyinstrument Demo\n \n \n
\n \n \n\n" }, { "path": "html_renderer/package.json", "content": "{\n \"name\": \"svelte-test\",\n \"private\": true,\n \"version\": \"0.0.0\",\n \"type\": \"module\",\n \"scripts\": {\n \"dev\": \"vite\",\n \"build\": \"vite build\",\n \"preview\": \"vite preview\",\n \"check\": \"svelte-check --tsconfig ./tsconfig.json\",\n \"test\": \"vitest\"\n },\n \"devDependencies\": {\n \"@sveltejs/vite-plugin-svelte\": \"^3.1.1\",\n \"@tsconfig/svelte\": \"^5.0.4\",\n \"rollup-plugin-visualizer\": \"^5.12.0\",\n \"sass\": \"^1.77.8\",\n \"svelte\": \"^4.2.18\",\n \"svelte-check\": \"^3.8.5\",\n \"svelte-preprocess\": \"^6.0.2\",\n \"tslib\": \"^2.6.3\",\n \"typescript\": \"^5.5.4\",\n \"vite\": \"^5.3.5\",\n \"vitest\": \"^2.0.5\"\n },\n \"dependencies\": {\n \"svelte-persisted-store\": \"^0.11.0\"\n }\n}\n" }, { "path": "html_renderer/src/App.svelte", "content": "\n\n
\n
\n
\n
\n
\n {#if !session.rootFrame}\n
\n
\n
\n No samples recorded.\n
\n
\n {:else if $viewOptions.viewMode === 'call-stack'}\n \n {:else if $viewOptions.viewMode === 'timeline'}\n \n {:else}\n
\n Unknown view mode: {$viewOptions.viewMode}\n
\n {/if}\n
\n
\n\n\n\n" }, { "path": "html_renderer/src/app.css", "content": "html, body {\n background-color: #303538;\n color: white;\n padding: 0;\n margin: 0;\n}\n\n.margins {\n padding: 0 30px;\n}\nlabel {\n user-select: none;\n * {\n user-select: initial;\n }\n}\n" }, { "path": "html_renderer/src/components/CallStackView.svelte", "content": "\n\n
\n
\n {#if !rootFrame}\n
\n
\n All frames were filtered out.\n
\n
\n {:else}\n
\n \n
\n {/if}\n
\n
\n
\n\n\n" }, { "path": "html_renderer/src/components/CogIcon.svelte", "content": "\n \n\n" }, { "path": "html_renderer/src/components/Frame.svelte", "content": "\n\n\n\n
\n {#if isVisible}\n \n \n 0 ? \"visible\" : \"hidden\"}\n >\n \n
\n \n {formattedTime}\n \n
{name}
\n
\n {codePosition}\n
\n \n\n \n {/if}\n\n {#if frame.group && frame.group.rootFrame == frame && !collapsed}\n \n \n
\n
\n \n
\n {frame.group.frames.length-1} frames hidden ({groupLibrarySummary})\n
\n \n {/if}\n\n {#if !collapsed && frame.children.length > 0}\n
\n {#each frame.children as child (child.uuid)}\n \n {/each}\n
\n {/if}\n\n\n\n" }, { "path": "html_renderer/src/components/Header.svelte", "content": "\n\n
\n
\n
\n
\n \n
\n
\n
\n {@html htmlForStringWithWBRAtSlashes(session.target_description)}\n
\n
\n
\n Recorded:\n {startTime}\n
\n
\n
\n Samples:\n {session.sampleCount}\n
\n
\n CPU utilization:\n {(cpuUtilisation * 100).toFixed(0)}%\n
\n
\n
\n
\n View:\n \n \n
\n
\n
\n \n {#if viewOptionsVisible}\n viewOptionsVisible = false}/>\n {/if}\n
\n
\n
\n
\n
\n
\n\n\n" }, { "path": "html_renderer/src/components/Logo.svelte", "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n" }, { "path": "html_renderer/src/components/TimelineCanvasView.ts", "content": "import CanvasView from \"../lib/CanvasView\";\nimport type Frame from \"../lib/model/Frame\";\nimport { SELF_TIME_FRAME_IDENTIFIER } from \"../lib/model/Frame\";\nimport { hash, map, parseColor, sampleGradient } from \"../lib/utils\";\nimport TimelineCanvasViewTooltip, { estimateWidth, type TooltipFrameInfo } from \"./TimelineCanvasViewTooltip.svelte\";\nimport type { ComponentProps } from 'svelte';\n\nconst BACKGROUND_COLOR = '#212325'\n\nconst FRAME_PITCH = 18\nconst FRAME_HEIGHT = 17\n\nconst X_MARGIN = 28\nconst Y_MARGIN = 17\nconst Y_FRAME_INSET = 29 // vertical space between y margin and first frame, where the axis markers are drawn\n\nconst GRADIENT_STR = ['#3475BA','#318DBC','#47A298','#8AAE5D','#C1A731','#C07210','#B84210','#B53134','#9A3586','#4958B5','#3475BA']\nconst GRADIENT = GRADIENT_STR.map(parseColor)\n\nexport interface TimelineFrame {\n frame: Frame\n depth: number\n // also cache some computed properties that are used in rendering\n isApplicationCode: boolean\n library: string | null\n className: string\n filePathShort: string | null\n}\nexport default class TimelineCanvasView extends CanvasView {\n zoom: number = 1 // pixels per second\n startT: number = 0 // seconds\n yOffset: number = 0 // pixels\n frames: TimelineFrame[] = []\n isZoomedIn: boolean = false\n\n tooltipContainer: HTMLElement\n tooltipComponent: TimelineCanvasViewTooltip | null = null\n\n constructor(container: HTMLElement) {\n super(container)\n\n this.onWheel = this.onWheel.bind(this)\n this.onMouseMove = this.onMouseMove.bind(this)\n this.onMouseLeave = this.onMouseLeave.bind(this)\n this.onMouseDown = this.onMouseDown.bind(this)\n this.windowMouseUp = this.windowMouseUp.bind(this)\n this.onTouchstart = this.onTouchstart.bind(this)\n this.onTouchmove = this.onTouchmove.bind(this)\n this.onTouchend = this.onTouchend.bind(this)\n this.onTouchcancel = this.onTouchend.bind(this)\n this.canvas.addEventListener('wheel', this.onWheel)\n this.canvas.addEventListener('mousemove', this.onMouseMove)\n this.canvas.addEventListener('mouseleave', this.onMouseLeave)\n this.canvas.addEventListener('mousedown', this.onMouseDown)\n this.canvas.addEventListener('touchstart', this.onTouchstart)\n this.canvas.addEventListener('touchmove', this.onTouchmove)\n this.canvas.addEventListener('touchend', this.onTouchend)\n this.canvas.addEventListener('touchcancel', this.onTouchcancel)\n\n this.tooltipContainer = document.createElement('div')\n this.tooltipContainer.style.position = 'absolute'\n this.tooltipContainer.style.pointerEvents = 'none'\n this.container.appendChild(this.tooltipContainer)\n }\n destroy(): void {\n this.canvas.removeEventListener('wheel', this.onWheel)\n this.canvas.removeEventListener('mousemove', this.onMouseMove)\n this.canvas.removeEventListener('mouseleave', this.onMouseLeave)\n this.canvas.removeEventListener('mousedown', this.onMouseDown)\n this.canvas.removeEventListener('touchstart', this.onTouchstart)\n this.canvas.removeEventListener('touchmove', this.onTouchmove)\n this.canvas.removeEventListener('touchend', this.onTouchend)\n this.canvas.removeEventListener('touchcancel', this.onTouchcancel)\n this.tooltipContainer.remove()\n super.destroy()\n }\n\n _rootFrame: Frame | null = null\n maxDepth = 0\n setRootFrame(rootFrame: Frame) {\n this._rootFrame = rootFrame\n this.frames = []\n this._frameMaxT = undefined\n this.maxDepth = 0\n this._collectFrames(rootFrame, 0)\n this.fitContents()\n this.setNeedsRedraw()\n }\n\n _collectFrames(frame: Frame, depth: number) {\n this.frames.push({\n frame,\n depth,\n isApplicationCode: frame.isApplicationCode,\n library: frame.library,\n className: frame.className,\n filePathShort: frame.filePathShort,\n })\n this.maxDepth = Math.max(this.maxDepth, depth)\n for (const child of frame.children) {\n if (child.identifier !== SELF_TIME_FRAME_IDENTIFIER) {\n // we don't render self time frames\n this._collectFrames(child, depth + 1)\n }\n }\n }\n\n tooltipLocation: { x: number; y: number } | null = null\n\n updateTooltip(ctx: CanvasRenderingContext2D, timelineFrame: TimelineFrame | null) {\n // update the content\n if (timelineFrame) {\n const frameInfo: TooltipFrameInfo = {\n name: this.frameName(timelineFrame),\n time: timelineFrame.frame.time,\n selfTime: this.frameSelfTime(timelineFrame),\n totalTime: this._rootFrame?.time ?? 1e-12,\n precision: this._rootFrame?.context.precision ?? 3,\n location: `${timelineFrame.filePathShort}:${timelineFrame.frame.lineNo}`,\n locationColor: this.colorForFrame(timelineFrame),\n }\n\n if (!this.tooltipComponent) {\n this.tooltipComponent = new TimelineCanvasViewTooltip({\n target: this.tooltipContainer,\n props: {f: frameInfo},\n })\n } else {\n this.tooltipComponent.$set({f: frameInfo})\n }\n\n // update the position\n if (this.tooltipLocation) {\n const position = {x: this.tooltipLocation.x + 12, y: this.tooltipLocation.y + 12}\n\n // rather than reading the width from the DOM, we estimate it\n // using canvas APIs. this tends to result in faster and more\n // predictable results. Also the DOM is very inefficient at\n // getting the size of something - it often has to relayout\n // the entire page.\n const tooltipWidth = estimateWidth(ctx, frameInfo)\n const maxX = this.width - 10 - tooltipWidth\n if (position.x > maxX) {\n position.x = maxX\n }\n // note, this is a guess, but clipping off bottom will be rare, as will be wrapping tooltips\n const tooltipHeight = 60\n const maxY = this.height - 10 - tooltipHeight\n if (position.y > maxY) {\n position.y = maxY\n }\n\n this.tooltipContainer.style.left = `${position.x}px`\n this.tooltipContainer.style.top = `${position.y}px`\n }\n }\n\n if (!timelineFrame) {\n if (this.tooltipComponent) {\n this.tooltipComponent.$destroy()\n this.tooltipComponent = null\n }\n }\n }\n\n // /$$$$$$$ /$$\n // | $$__ $$ |__/\n // | $$ \\ $$ /$$$$$$ /$$$$$$ /$$ /$$ /$$ /$$ /$$$$$$$ /$$$$$$\n // | $$ | $$ /$$__ $$ |____ $$| $$ | $$ | $$| $$| $$__ $$ /$$__ $$\n // | $$ | $$| $$ \\__/ /$$$$$$$| $$ | $$ | $$| $$| $$ \\ $$| $$ \\ $$\n // | $$ | $$| $$ /$$__ $$| $$ | $$ | $$| $$| $$ | $$| $$ | $$\n // | $$$$$$$/| $$ | $$$$$$$| $$$$$/$$$$/| $$| $$ | $$| $$$$$$$\n // |_______/ |__/ \\_______/ \\_____/\\___/ |__/|__/ |__/ \\____ $$\n // /$$ \\ $$\n // | $$$$$$/\n // \\______/\n\n lastDrawWidth: number = 0\n lastDrawHeight: number = 0\n\n redraw(ctx: CanvasRenderingContext2D, extra: { width: number; height: number; }): void {\n const { width, height } = extra\n\n if (width !== this.lastDrawWidth || height !== this.lastDrawHeight) {\n if (!this.isZoomedIn) {\n this.fitContents()\n } else {\n this.clampViewport()\n }\n }\n this.lastDrawWidth = width\n this.lastDrawHeight = height\n\n ctx.fillStyle = BACKGROUND_COLOR\n ctx.fillRect(0, 0, width, height)\n\n // draw scale\n this.drawAxes(ctx)\n\n // draw frames\n for (const frame of this.frames) {\n this.drawFrame(ctx, frame)\n }\n\n ctx.globalAlpha = 1\n\n const canDrag = this.maxYOffset > 0 || this.isZoomedIn\n const mouseDown = !!this.mouseDownLocation\n this.canvas.style.cursor = (mouseDown && canDrag) ? 'grabbing' : 'initial'\n\n // debug\n ctx.fillStyle = 'red'\n ctx.font = `23px \"Source Sans Pro\", sans-serif`\n // ctx.fillText(`startT: ${this.startT}`, 10, 10)\n // ctx.fillText(`zoom: ${this.zoom}`, 10, 50)\n // ctx.fillText(`width/zoom: ${this.width / this.zoom}`, 10, 50)\n\n let hoverFrame: TimelineFrame | null = null\n if (!mouseDown && this.tooltipLocation) {\n hoverFrame = this.hitTest(this.tooltipLocation)\n }\n this.updateTooltip(ctx, hoverFrame)\n }\n\n drawAxes(ctx: CanvasRenderingContext2D) {\n // const viewportDuration = this.width / this.zoom\n // clamp the width here to min 800 px, so that we don't draw too many\n // axes on small screens\n const viewportDuration = Math.max(800, this.width) / this.zoom\n\n if (viewportDuration == 0) {\n // avoid log of 0\n return\n }\n const axisScale = Math.log10(viewportDuration)\n let highestAxis = Math.ceil(axisScale) + 2\n if (highestAxis < 0) {\n // ensures that we always draw whole number axes, stops numbers\n // like '0' from changing precision to '0.0' as we zoom in\n highestAxis = 0\n }\n const smallestAxis = Math.ceil(axisScale) - 3\n const alphaForAxis = (a: number) => map(a, {from: [axisScale, axisScale-3], to: [0.71, 0], clamp: true})\n for (let a = smallestAxis; a < highestAxis; a++) {\n let alpha = alphaForAxis(a)\n alpha = Math.max(0, Math.min(1, alpha))\n alpha = Math.pow(alpha, 2)\n this.drawAxis(ctx, Math.pow(10, a), alpha)\n }\n // highest axis - set the flag to never skip as there are no higher increments\n this.drawAxis(ctx, Math.pow(10, highestAxis), alphaForAxis(highestAxis), true)\n }\n\n drawAxis(ctx: CanvasRenderingContext2D, increment: number, alpha: number, dontSkip: boolean = false) {\n ctx.fillStyle = 'white'\n const startT = Math.floor(this.startT / increment) * increment\n const endT = this.startT + this.width / this.zoom\n const numDecimals = Math.max(0, Math.ceil(-Math.log10(increment)))\n\n for (let t = startT; t < endT; t += increment) {\n const x = this.xForT(t)\n const drawnByAHigherIncrement = Math.round(t / increment) % 10 === 0\n if (drawnByAHigherIncrement && !dontSkip) {\n continue\n }\n ctx.globalAlpha = alpha\n const y = Y_MARGIN - this.yOffset\n ctx.fillRect(x, y, 1, this.height - y)\n\n const textAlpha = map(alpha, {from: [0.12, 0.25], to: [0, 0.5], clamp: true})\n if (textAlpha > 0.01) {\n ctx.globalAlpha = textAlpha\n ctx.font = `13px \"Source Sans Pro\", sans-serif`\n let text = t.toFixed(numDecimals)\n if (text == '0') {\n text = '0s'\n }\n let topY = y + 10\n ctx.fillText(text, x + 3, topY)\n let bottomY = this.height + Y_MARGIN + 10 - this.yOffset\n if (bottomY < this.height - 3) {\n bottomY = this.height - 3\n }\n ctx.fillText(text, x + 3, bottomY)\n }\n ctx.globalAlpha = 1\n }\n }\n\n drawFrame(ctx: CanvasRenderingContext2D, timelineFrame: TimelineFrame) {\n const { x, y, w, h } = this.frameDims(timelineFrame)\n const endX = x + w\n if (endX < 0 || x > this.width) {\n // offscreen\n return\n }\n\n ctx.fillStyle = this.colorForFrame(timelineFrame)\n ctx.globalAlpha = timelineFrame.isApplicationCode ? 1 : 0.5\n\n if (w < 2) {\n // fast path\n ctx.fillRect(x, y, w, h)\n return\n }\n\n let name = this.frameName(timelineFrame)\n\n // the minimum width per character is 3.3px (that's an 'l')\n // no point in drawing more characters than that, it'll be clipped\n const maxChars = Math.floor(w / 3.3)\n if (name.length > maxChars) {\n name = name.substring(0, maxChars)\n }\n if (name.length == 0) {\n // fast path\n ctx.fillRect(x, y, w, h)\n return\n }\n\n ctx.save()\n ctx.beginPath()\n ctx.rect(x, y, w, h)\n ctx.fill()\n ctx.clip()\n\n ctx.font = `13px \"Source Sans Pro\", sans-serif`\n ctx.fillStyle = 'white'\n let textX = x\n if (textX < 0) {\n textX = 0\n }\n ctx.fillText(name, textX + 2, y + 13)\n\n ctx.restore()\n }\n\n // the library order controls which color is assigned. More common\n // libraries get colors further apart from each other\n _libraryOrder: string[] | null = null\n _assignLibraryOrder() {\n const librariesTotalTime: Record = {}\n\n for (const timelineFrame of this.frames) {\n const frame = timelineFrame.frame\n const library = frame.library ?? ''\n librariesTotalTime[library] = (librariesTotalTime[library] || 0) + timelineFrame.frame.time\n }\n\n const libraries = Object.keys(librariesTotalTime)\n libraries.sort((a, b) => librariesTotalTime[b] - librariesTotalTime[a])\n this._libraryOrder = libraries\n }\n\n _colors: string[] = []\n colorForLibraryIndex(libraryIndex: number) {\n if (this._colors[libraryIndex] !== undefined) {\n return this._colors[libraryIndex]\n }\n // assign colors using color gradient and library order, gradually\n // bisecting a color wheel - this gives the top libraries the most\n // distinct colors\n const denominator = Math.pow(2,Math.ceil(Math.log2(libraryIndex+1)))\n const numerator = 2*libraryIndex - denominator + 1\n const gradientLocation = numerator/denominator\n const result = sampleGradient(GRADIENT, gradientLocation)\n this._colors[libraryIndex] = result\n return result\n }\n\n libraryIndexForFrame(timelineFrame: TimelineFrame) {\n if (!this._libraryOrder) {\n this._assignLibraryOrder()\n }\n\n const library = timelineFrame.library || ''\n let result = this._libraryOrder!.indexOf(library)\n\n if (result === -1) {\n // we haven't seen this one before, add it to the list to give it an index\n result = this._libraryOrder!.length\n this._libraryOrder!.push(library)\n }\n\n return result\n }\n\n colorForFrame(timelineFrame: TimelineFrame) {\n const libraryIndex = this.libraryIndexForFrame(timelineFrame)\n const color = this.colorForLibraryIndex(libraryIndex)\n return color\n }\n\n // /$$ /$$\n // | $$ | $$\n // | $$ /$$$$$$ /$$ /$$ /$$$$$$ /$$ /$$ /$$$$$$\n // | $$ |____ $$| $$ | $$ /$$__ $$| $$ | $$|_ $$_/\n // | $$ /$$$$$$$| $$ | $$| $$ \\ $$| $$ | $$ | $$\n // | $$ /$$__ $$| $$ | $$| $$ | $$| $$ | $$ | $$ /$$\n // | $$$$$$$$| $$$$$$$| $$$$$$$| $$$$$$/| $$$$$$/ | $$$$/\n // |________/ \\_______/ \\____ $$ \\______/ \\______/ \\___/\n // /$$ | $$\n // | $$$$$$/\n // \\______/\n\n _frameMaxT: number|undefined\n get frameMaxT() {\n if (this._frameMaxT === undefined) {\n this._frameMaxT = this.frames.reduce((max, frame) => Math.max(max, frame.frame.startTime + frame.frame.time), 0)\n }\n return this._frameMaxT\n }\n\n get maxYOffset() {\n return Math.max(0, (this.maxDepth+1) * FRAME_PITCH + Y_MARGIN*2 + Y_FRAME_INSET - this.height)\n }\n\n get minZoom() {\n return (this.width - 2*X_MARGIN) / this.frameMaxT\n }\n\n get maxZoom() {\n // 150 ns is the python function calling overhead.\n // 150 ns per 10 pixels seems the smallest that makes sense to me\n return 10 / 150e-9\n }\n\n fitContents() {\n this.startT = 0\n this.zoom = this.minZoom\n this.isZoomedIn = false\n }\n\n clampViewport() {\n if (this.zoom < this.minZoom) {\n this.zoom = this.minZoom\n this.isZoomedIn = false\n } else {\n this.isZoomedIn = true\n }\n\n if (this.zoom > this.maxZoom) {\n this.zoom = this.maxZoom\n }\n\n if (this.startT < 0) {\n this.startT = 0\n }\n const maxStartT = this.frameMaxT - (this.width - 2*X_MARGIN) / this.zoom\n if (this.startT > maxStartT) {\n this.startT = maxStartT\n }\n\n if (this.yOffset < 0) {\n this.yOffset = 0\n }\n if (this.yOffset > this.maxYOffset) {\n this.yOffset = this.maxYOffset\n }\n }\n\n frameDims(timelineFrame: TimelineFrame): { x: number; y: number; w: number; h: number } {\n const y = timelineFrame.depth * FRAME_PITCH + Y_MARGIN + Y_FRAME_INSET - this.yOffset\n const h = FRAME_HEIGHT\n let x = this.xForT(timelineFrame.frame.startTime)\n const endX = this.xForT(timelineFrame.frame.startTime + timelineFrame.frame.time)\n let w = endX - x\n\n if (w < 1) {\n w = 1\n }\n if (w > 1) {\n // add a little gap between frames\n w -= map(w, {from: [1,3], to: [0, 1], clamp: true})\n }\n return { x, y, w, h }\n }\n\n xForT(t: number): number {\n return (t - this.startT) * this.zoom + X_MARGIN\n }\n\n tForX(x: number): number {\n return (x - X_MARGIN) / this.zoom + this.startT\n }\n\n frameName(timelineFrame: TimelineFrame): string {\n let name: string\n if (timelineFrame.className) {\n name = `${timelineFrame.className}.${timelineFrame.frame.function}`\n } else if (timelineFrame.frame.function == ''){\n name = timelineFrame.filePathShort ?? timelineFrame.frame.filePath ?? ''\n } else {\n name = timelineFrame.frame.function\n }\n return name\n }\n\n frameSelfTime(timelineFrame: TimelineFrame): number {\n let selfTime = timelineFrame.frame.time;\n const renderedChildren = timelineFrame.frame.children.filter(child => !child.isSynthetic);\n\n for (const child of renderedChildren) {\n selfTime -= child.time;\n }\n\n return selfTime;\n }\n\n hitTest(loc: {x: number, y: number}): TimelineFrame | null {\n for (const frame of this.frames) {\n const { x: frameX, y: frameY, w, h } = this.frameDims(frame)\n if (loc.x >= frameX && loc.x <= frameX + w && loc.y >= frameY && loc.y <= frameY + h) {\n return frame\n }\n }\n return null\n }\n\n // /$$ /$$\n // | $$$ /$$$\n // | $$$$ /$$$$ /$$$$$$ /$$ /$$ /$$$$$$$ /$$$$$$\n // | $$ $$/$$ $$ /$$__ $$| $$ | $$ /$$_____/ /$$__ $$\n // | $$ $$$| $$| $$ \\ $$| $$ | $$| $$$$$$ | $$$$$$$$\n // | $$\\ $ | $$| $$ | $$| $$ | $$ \\____ $$| $$_____/\n // | $$ \\/ | $$| $$$$$$/| $$$$$$/ /$$$$$$$/| $$$$$$$\n // |__/ |__/ \\______/ \\______/ |_______/ \\_______/\n //\n //\n //\n onWheel(event: WheelEvent) {\n const isPinchGestureOrCmdWheel = event.ctrlKey || event.metaKey\n\n // zooming\n const zoomSpeed = isPinchGestureOrCmdWheel ? 0.01 : 0.0023\n const mouseT = this.tForX(event.offsetX)\n this.zoom *= 1 - event.deltaY * zoomSpeed\n // an extra clamp to clamp this.zoom before the startT is adjusted\n this.clampViewport()\n this.startT = mouseT - (event.offsetX - X_MARGIN) / this.zoom\n\n // scroll to pan\n if (!isPinchGestureOrCmdWheel) {\n this.startT += event.deltaX / this.zoom\n }\n this.clampViewport()\n this.setNeedsRedraw()\n event.preventDefault()\n }\n mouseLocation: { x: number; y: number } | null = null\n mouseDownLocation: { x: number; y: number } | null = null\n onMouseMove(event: MouseEvent): void {\n const mouseLocation = { x: event.offsetX, y: event.offsetY }\n const prevMouseLocation = this.mouseLocation\n this.mouseLocation = mouseLocation\n if (prevMouseLocation && this.mouseDownLocation) {\n const dLocation = {x: mouseLocation.x - prevMouseLocation.x, y: mouseLocation.y - prevMouseLocation.y}\n this.startT -= dLocation.x / this.zoom\n this.yOffset -= dLocation.y\n this.clampViewport()\n }\n this.tooltipLocation = mouseLocation\n this.setNeedsRedraw()\n }\n onMouseLeave(event: MouseEvent): void {\n this.mouseLocation = null\n this.tooltipLocation = null\n this.setNeedsRedraw()\n }\n onMouseDown(event: MouseEvent): void {\n if (!(event.button === 0 || event.button === 1)) {\n return\n }\n this.mouseDownLocation = { x: event.offsetX, y: event.offsetY }\n window.addEventListener('mouseup', this.windowMouseUp)\n this.setNeedsRedraw()\n }\n windowMouseUp(event: MouseEvent): void {\n window.removeEventListener('mouseup', this.windowMouseUp)\n this.mouseDownLocation = null\n this.setNeedsRedraw()\n }\n\n // /$$$$$$$$ /$$\n // |__ $$__/ | $$\n // | $$ /$$$$$$ /$$ /$$ /$$$$$$$| $$$$$$$\n // | $$ /$$__ $$| $$ | $$ /$$_____/| $$__ $$\n // | $$ | $$ \\ $$| $$ | $$| $$ | $$ \\ $$\n // | $$ | $$ | $$| $$ | $$| $$ | $$ | $$\n // | $$ | $$$$$$/| $$$$$$/| $$$$$$$| $$ | $$\n // |__/ \\______/ \\______/ \\_______/|__/ |__/\n\n touches: { [key: number]: { x: number; y: number, downT: number, startDate: number, downX: number, downY: number } } = {}\n onTouchstart(event: TouchEvent) {\n event.preventDefault()\n event.stopPropagation()\n\n for (const touch of Array.from(event.changedTouches)) {\n this.touches[touch.identifier] = {\n x: touch.clientX,\n y: touch.clientY,\n downT: this.tForX(touch.clientX),\n startDate: Date.now(),\n downX: touch.clientX,\n downY: touch.clientY,\n }\n }\n }\n onTouchmove(event: TouchEvent) {\n event.preventDefault()\n event.stopPropagation()\n\n let yMotionSum = 0\n for (const touch of Array.from(event.changedTouches)) {\n const prevTouch = this.touches[touch.identifier]\n if (!prevTouch) {\n continue\n }\n yMotionSum += touch.clientY - prevTouch.y\n this.touches[touch.identifier] = {\n ...prevTouch,\n x: touch.clientX,\n y: touch.clientY\n }\n }\n const yMotion = yMotionSum / Object.keys(this.touches).length\n this.yOffset -= yMotion\n this.adjustXAxisForTouches()\n this.setNeedsRedraw()\n }\n onTouchend(event: TouchEvent) {\n event.preventDefault()\n event.stopPropagation()\n\n for (const touch of Array.from(event.changedTouches)) {\n delete this.touches[touch.identifier]\n }\n this.setNeedsRedraw()\n }\n onTouchcancel(event: TouchEvent) {\n event.preventDefault()\n event.stopPropagation()\n\n for (const touch of Array.from(event.changedTouches)) {\n delete this.touches[touch.identifier]\n }\n this.setNeedsRedraw()\n }\n adjustXAxisForTouches() {\n const touchIds = Object.keys(this.touches).map(Number)\n if (touchIds.length == 0) {\n return\n }\n if (touchIds.length == 1) {\n const touch = this.touches[touchIds[0]]\n this.startT = touch.downT - (touch.x - X_MARGIN) / this.zoom\n }\n if (touchIds.length >= 2) {\n const touch1 = this.touches[touchIds[0]]\n const touch2 = this.touches[touchIds[1]]\n const newZoom = (touch2.x - touch1.x) / (touch2.downT - touch1.downT)\n const newStartT = touch1.downT - (touch1.x - X_MARGIN) / newZoom\n this.startT = newStartT\n this.zoom = newZoom\n }\n this.clampViewport()\n }\n}\n" }, { "path": "html_renderer/src/components/TimelineCanvasViewTooltip.svelte", "content": "\n\n\n\n
\n
{f.name}
\n {#if timeMode == 'both'}\n
time
\n
\n
{@html formatTime(f.time)}
\n {#if (f.selfTime / f.time) > 1e-3 }\n
self
\n
{@html formatTime (f.selfTime)}
\n {/if}\n
\n {:else}\n
{timeMode == 'self' ? 'self' : 'time'}
\n
{@html formatTime(f.time)}
\n {/if}\n
loc
\n
\n
\n {@html locationHTML}\n
\n
\n\n\n" }, { "path": "html_renderer/src/components/TimelineView.svelte", "content": "\n\n
\n\n
\n\n\n" }, { "path": "html_renderer/src/components/ViewOptions.svelte", "content": "\n\n
\n
\n
{title}
\n
\n {#if $viewOptions.viewMode === \"call-stack\"}\n \n {:else if $viewOptions.viewMode === \"timeline\"}\n \n {/if}\n
\n
\n
\n\n\n" }, { "path": "html_renderer/src/components/ViewOptionsCallStack.svelte", "content": "\n\n
\n
\n
Collapse frames
\n
\n
\n \n \n
\n Code run from the Python stdlib, a virtualenv, or a conda env will be collapsed.\n
\n
\n
\n \n \n
\n Regex on the source file path.\n
\n \n \n \n \n
\n If neither match, the library code rule is used.\n
\n
\n
\n \n \n
\n
\n
\n\n
\n
Remove frames
\n
\n\n
\n \n \n
\n\n
\n \n \n
\n\n
\n \n \n
\n\n
\n \n \n \n \n % of the total time\n \n
\n
\n
\n\n
\n
Time format
\n
\n
\n \n
\n\n
\n \n
\n
\n
\n
\n\n\n" }, { "path": "html_renderer/src/components/ViewOptionsTimeline.svelte", "content": "\n\n
\n\n
\n
Remove frames
\n
\n\n
\n \n \n
\n\n
\n \n \n
\n\n
\n \n \n
\n
\n
\n
\n\n\n" }, { "path": "html_renderer/src/lib/CanvasView.ts", "content": "import DevicePixelRatioObserver from \"./DevicePixelRatioObserver\"\n\nexport default abstract class CanvasView {\n canvas: HTMLCanvasElement\n _size_observer: ResizeObserver\n _devicePixelRatioObserver: DevicePixelRatioObserver\n\n constructor(readonly container: HTMLElement) {\n if (getComputedStyle(container).position != \"absolute\") {\n container.style.position = 'relative'\n }\n\n this.canvas = document.createElement('canvas')\n this.canvas.style.position = 'absolute'\n this.canvas.style.left = '0'\n this.canvas.style.top = '0'\n this.canvas.style.width = '100%'\n this.canvas.style.height = '100%'\n this.container.appendChild(this.canvas)\n\n this.setCanvasSize = this.setCanvasSize.bind(this);\n\n this._size_observer = new ResizeObserver(this.setCanvasSize)\n this._size_observer.observe(container);\n\n this._devicePixelRatioObserver = new DevicePixelRatioObserver(this.setCanvasSize)\n\n // set the canvas size on the next redraw - avoids problems with window\n // size changing during the first paint because of the scroll bar\n window.requestAnimationFrame(() => {\n this.setCanvasSize();\n });\n }\n\n destroy() {\n this._size_observer.disconnect()\n this._devicePixelRatioObserver.destroy()\n this.canvas.remove();\n if (this.drawAnimationRequest !== null) {\n window.cancelAnimationFrame(this.drawAnimationRequest);\n this.drawAnimationRequest = null\n }\n }\n\n drawAnimationRequest: any = null\n\n setNeedsRedraw() {\n if (this.drawAnimationRequest !== null) {\n return\n }\n\n this.drawAnimationRequest = window.requestAnimationFrame(() => {\n this.drawAnimationRequest = null;\n this.canvasViewRedraw()\n })\n }\n\n redrawIfNeeded() {\n if (this.drawAnimationRequest !== null) {\n window.cancelAnimationFrame(this.drawAnimationRequest);\n this.drawAnimationRequest = null;\n this.canvasViewRedraw()\n }\n }\n\n canvasViewRedraw() {\n const ctx = this.canvas.getContext('2d')\n if (!ctx) return\n\n ctx.resetTransform()\n ctx.scale(window.devicePixelRatio, window.devicePixelRatio)\n\n this.redraw(ctx, {\n width: this.canvas.width / window.devicePixelRatio,\n height: this.canvas.height / window.devicePixelRatio\n });\n }\n abstract redraw(ctx: CanvasRenderingContext2D, extra: { width: number, height: number }): void\n\n get width() { return this.canvas.width / window.devicePixelRatio }\n get height() { return this.canvas.height / window.devicePixelRatio }\n\n setCanvasSize() {\n const ratio = window.devicePixelRatio\n this.canvas.height = this.container.clientHeight * ratio;\n this.canvas.width = this.container.clientWidth * ratio;\n this.canvasViewRedraw()\n }\n}\n" }, { "path": "html_renderer/src/lib/DevicePixelRatioObserver.ts", "content": "export default class DevicePixelRatioObserver {\n mediaQueryList: MediaQueryList | null = null\n\n constructor(readonly onDevicePixelRatioChanged: () => void) {\n this._onChange = this._onChange.bind(this)\n this.createMediaQueryList()\n }\n\n createMediaQueryList() {\n this.removeMediaQueryList()\n let mqString = `(resolution: ${window.devicePixelRatio}dppx)`;\n\n this.mediaQueryList = matchMedia(mqString);\n this.mediaQueryList.addEventListener('change', this._onChange)\n }\n removeMediaQueryList() {\n this.mediaQueryList?.removeEventListener('change', this._onChange)\n this.mediaQueryList = null\n }\n _onChange(event: MediaQueryListEvent) {\n this.onDevicePixelRatioChanged()\n this.createMediaQueryList()\n }\n destroy() {\n this.removeMediaQueryList()\n }\n}\n" }, { "path": "html_renderer/src/lib/appState.ts", "content": "import { writable } from 'svelte/store'\n\nexport const visibleGroups = writable<{[id: string]: boolean}>({})\nexport const collapsedFrames = writable<{[id: string]: boolean}>({})\n" }, { "path": "html_renderer/src/lib/color.ts", "content": "export function colorForFrameProportionOfTotal(proportion: number): string {\n if (proportion > 0.6) {\n return '#FF4159'\n } else if (proportion > 0.3) {\n return '#F5A623'\n } else if (proportion > 0.15) {\n return '#D8CB2A'\n } else if (proportion > 0.05) {\n return '#7ED321'\n } else {\n return '#58984f'\n }\n}\n" }, { "path": "html_renderer/src/lib/dataTypes.ts", "content": "export interface SessionData {\n session: {\n start_time: number;\n duration: number;\n min_interval: number;\n max_interval: number;\n sample_count: number;\n start_call_stack: string[],\n target_description: string;\n cpu_time: number;\n sys_path: string;\n sys_prefixes: string[];\n };\n frame_tree: FrameData|null;\n}\n\nexport interface FrameData {\n identifier: string;\n time: number;\n attributes: {[name: string]: number};\n children: FrameData[];\n}\n" }, { "path": "html_renderer/src/lib/model/Frame.ts", "content": "import type FrameGroup from './FrameGroup';\nimport { randomId } from '../utils';\n// import type { FrameData } from '../dataTypes';\n\nexport interface FrameData {\n identifier: string,\n time?: number // duration in seconds\n startTime?: number\n attributes?: {[name: string]: number},\n children?: readonly FrameData[],\n}\n\n\nconst IDENTIFIER_SEP = \"\\x00\"\nconst ATTRIBUTES_SEP = \"\\x01\"\n\nexport const AWAIT_FRAME_IDENTIFIER = \"[await]\"\nexport const SELF_TIME_FRAME_IDENTIFIER = \"[self]\"\nexport const OUT_OF_CONTEXT_FRAME_IDENTIFIER = \"[out-of-context]\"\nexport const DUMMY_ROOT_FRAME_IDENTIFIER = \"[root]\"\n\nexport const SYNTHETIC_FRAME_IDENTIFIERS = [\n AWAIT_FRAME_IDENTIFIER,\n SELF_TIME_FRAME_IDENTIFIER,\n OUT_OF_CONTEXT_FRAME_IDENTIFIER,\n DUMMY_ROOT_FRAME_IDENTIFIER,\n]\n\nexport const SYNTHETIC_LEAF_IDENTIFIERS = [\n AWAIT_FRAME_IDENTIFIER,\n SELF_TIME_FRAME_IDENTIFIER,\n OUT_OF_CONTEXT_FRAME_IDENTIFIER,\n]\n\nconst ATTRIBUTE_MARKER_CLASS_NAME = \"c\"\nconst ATTRIBUTE_MARKER_LINE_NUMBER = \"l\"\nconst ATTRIBUTE_MARKER_TRACEBACKHIDE = \"h\"\n\nexport default class Frame {\n uuid: string = randomId()\n identifier: string\n _identifierParts: string[]\n startTime: number\n time: number = 0\n absorbedTime: number = 0\n group: FrameGroup|null = null\n attributes: {[name: string]: number}\n _children: Frame[] = []\n parent: Frame | null = null\n\n context: FrameContext\n\n constructor(\n data: FrameData,\n context: FrameContext,\n ) {\n this.identifier = data.identifier\n this._identifierParts = this.identifier.split(IDENTIFIER_SEP)\n this.startTime = data.startTime ?? 0\n this.time = data.time ?? 0\n this.attributes = data.attributes ?? {}\n this.context = context\n\n let childStartTime = this.startTime\n const children = data.children?.map(f => {\n if (f.startTime === undefined) {\n f = {...f, startTime: childStartTime}\n childStartTime += f.time ?? 0\n }\n childStartTime = f.startTime! + (f.time ?? 0)\n return new Frame(f, context)\n });\n if (children) {\n this.addChildren(children)\n }\n }\n\n cloneDeep(): Frame {\n return new Frame(this, this.context)\n }\n\n get children(): readonly Frame[] {\n return this._children\n }\n\n addChild(frame: Frame, options: {after?: Frame} = {}) {\n frame.removeFromParent()\n frame.parent = this\n if (options.after) {\n const index = this._children.indexOf(options.after)\n if (index == -1) {\n throw new Error(\"After frame not found\")\n }\n this._children.splice(index+1, 0, frame)\n } else {\n this._children.push(frame)\n }\n }\n\n addChildren(frames: readonly Frame[], options: {after?: Frame} = {}) {\n frames = frames.slice()\n if (options.after) {\n const reversed = frames.slice()\n reversed.reverse()\n frames.forEach(f => this.addChild(f, options))\n } else {\n frames.forEach(f => this.addChild(f, options))\n }\n }\n\n removeFromParent() {\n if (this.parent) {\n const idx = this.parent._children.indexOf(this)\n this.parent._children.splice(idx, 1)\n this.parent = null\n }\n }\n\n getAttributes(marker: string): {data: string, time: number}[] {\n const keys = Object.keys(this.attributes).filter(k => k.startsWith(marker))\n return keys.map(k => (\n {data: k.slice(1), time: this.attributes[k]}\n ))\n }\n\n getAttributeValue(marker: string) {\n const attributes = this.getAttributes(marker)\n if (!attributes) return null\n if (attributes.length == 0) return null\n\n let maxIdx = 0\n for (let i = 0; i < attributes.length; i++) {\n if (attributes[i].time > attributes[maxIdx].time) {\n maxIdx = i\n }\n }\n\n return attributes[maxIdx].data\n }\n\n get hasTracebackHide(): boolean {\n return this.getAttributeValue(ATTRIBUTE_MARKER_TRACEBACKHIDE) == '1'\n }\n\n get function(): string {\n return this._identifierParts[0]\n }\n\n get filePath(): string | null {\n return this._identifierParts[1] ?? null\n }\n\n get lineNo(): number | null {\n const lineNo = this._identifierParts[2]\n return lineNo ? parseInt(lineNo) : null\n }\n\n get isSynthetic(): boolean {\n return SYNTHETIC_FRAME_IDENTIFIERS.includes(this.identifier)\n }\n\n get filePathShort(): string | null {\n if (this.isSynthetic && this.parent) {\n return this.parent.filePathShort\n }\n\n if (!this.filePath) return null\n\n return this.context.shortenPath(this.filePath)\n }\n\n get isApplicationCode(): boolean {\n if (this.isSynthetic) {\n return false;\n }\n\n const filePath = this.filePath;\n\n if (!filePath) {\n return false;\n }\n\n const prefixes = this.context.sysPrefixes\n if (prefixes.some(path => filePath.startsWith(path))) {\n // this code lives in the Python installation dir or a virtualenv\n return false;\n }\n\n if (filePath.startsWith(\"<\")) {\n if (filePath.startsWith(\"\" || filePath == \"\") {\n // eval/exec is app code if started by a parent frame that is app code\n if (this.parent) {\n return this.parent.isApplicationCode\n } else {\n // if this is the root frame, it must have been started\n // with -c, so it's app code\n return true\n }\n } else {\n // Otherwise, this is likely some form of library-internal code generation\n return false;\n }\n }\n\n return true;\n }\n\n get proportionOfParent(): number {\n if (!this.parent) {\n return 1;\n }\n\n return this.time / this.parent.time;\n }\n\n get className(): string {\n return this.getAttributeValue(ATTRIBUTE_MARKER_CLASS_NAME) ?? \"\"\n }\n\n get library(): string|null {\n const filePathShort = this.filePathShort;\n if (!filePathShort) {\n return null;\n }\n // return the first part of the path that isn't slashes or dots\n return /^[\\\\/.]*[^\\\\/.]*/.exec(filePathShort)![0] ?? ''\n }\n}\n\ninterface FrameContext {\n shortenPath(path: string): string\n sysPrefixes: string[]\n precision: number\n}\n" }, { "path": "html_renderer/src/lib/model/FrameGroup.ts", "content": "import { randomId } from '../utils';\nimport type Frame from './Frame';\n\nexport default class FrameGroup {\n id: string;\n rootFrame: Frame;\n _frames: Frame[] = []\n\n constructor(rootFrame: Frame) {\n this.id = randomId()\n this.rootFrame = rootFrame;\n }\n\n addFrame(frame: Frame) {\n if (frame.group) {\n frame.group.removeFrame(frame);\n }\n this._frames.push(frame);\n frame.group = this;\n }\n\n removeFrame(frame: Frame) {\n if (frame.group !== this) {\n throw new Error(\"Frame not in group.\");\n }\n\n const index = this._frames.indexOf(frame);\n if (index === -1) {\n throw new Error(\"Frame not found in group.\");\n }\n this._frames.splice(index, 1);\n frame.group = null;\n }\n\n get frames(): readonly Frame[] {\n return this._frames;\n }\n\n get exitFrames() {\n // exit frames are frames inside this group that have children outside the group.\n const exitFrames = []\n\n for (const frame of this.frames) {\n let isExit = false;\n for (const child of frame.children) {\n if (child.group != this) {\n isExit = true;\n break;\n }\n }\n\n if (isExit) {\n exitFrames.push(frame);\n }\n }\n\n return exitFrames;\n }\n\n get libraries() {\n const libraries: string[] = [];\n\n for (const frame of this.frames) {\n const library = frame.library\n if (!library) {\n continue\n }\n\n if (!libraries.includes(library)) {\n libraries.push(library);\n }\n }\n\n return libraries;\n }\n}\n" }, { "path": "html_renderer/src/lib/model/Session.ts", "content": "import type { SessionData } from \"../dataTypes\";\nimport Frame from \"./Frame\";\n\nexport default class Session {\n startTime: number;\n duration: number;\n minInterval: number;\n maxInterval: number;\n precision: number;\n sampleCount: number;\n target_description: string;\n cpuTime: number;\n rootFrame: Frame|null;\n sysPath: string;\n sysPrefixes: string[];\n\n constructor(data: SessionData) {\n this.startTime = data.session.start_time;\n this.duration = data.session.duration;\n this.minInterval = data.session.min_interval;\n this.maxInterval = data.session.max_interval;\n this.sampleCount = data.session.sample_count;\n this.target_description = data.session.target_description;\n this.cpuTime = data.session.cpu_time;\n this.sysPath = data.session.sys_path;\n this.sysPrefixes = data.session.sys_prefixes\n this.precision = Math.ceil(-Math.log10(Math.min(Math.max(1e-9, this.maxInterval), 1)))\n this.rootFrame = data.frame_tree ? new Frame(data.frame_tree, this) : null\n }\n\n _shortenPathCache: {[path: string]: string} = {}\n shortenPath(path: string): string {\n if (this._shortenPathCache[path]) {\n return this._shortenPathCache[path]\n }\n\n let result = path\n const pathParts = pathSplit(path)\n\n if (pathParts.length > 1) {\n for (const sysPathEntry of this.sysPath) {\n const candidate = getRelPath(path, sysPathEntry)\n if (pathSplit(candidate).length < pathSplit(result).length) {\n result = candidate\n }\n }\n }\n\n this._shortenPathCache[path] = result\n return result\n }\n}\n\nfunction pathSplit(path: string): string[] {\n return path.split(/[/\\\\]/)\n}\n\nfunction getPathDrive(path: string): string | null {\n const parts = pathSplit(path)\n if (parts.length > 0 && parts[0].endsWith(\":\")) {\n return parts[0]\n } else {\n return null\n }\n}\n\nfunction getRelPath(path: string, start: string): string {\n // returns the relative path from start to path\n // e.g. getRelPath(\"/a/b/c\", \"/a\") -> \"b/c\"\n // e.g. getRelPath(\"/a/b/c\", \"/a/d/e\") -> \"../../b/c\"\n\n if (getPathDrive(path) != getPathDrive(start)) {\n // different drives, can't make a relative path\n return path\n }\n\n const parts = pathSplit(path)\n const startParts = pathSplit(start)\n let i = 0\n while (i < parts.length && i < startParts.length && parts[i] == startParts[i]) {\n i++\n }\n const relParts = startParts.slice(i).map(_ => \"..\")\n\n return relParts.concat(parts.slice(i)).join(\"/\")\n}\n" }, { "path": "html_renderer/src/lib/model/frameOps.test.ts", "content": "import { deleteFrameFromTree } from \"./frameOps\";\nimport { describe, it, expect } from \"vitest\";\nimport Frame, { SELF_TIME_FRAME_IDENTIFIER } from \"./Frame\";\n\nconst context = {shortenPath: (a:string) => a};\n\ndescribe(\"deleteFrameFromTree\", () => {\n it(\"should replace the frame with its children\", () => {\n const parent = new Frame({ identifier: \"parent\" }, context);\n const frame = new Frame({ identifier: \"frame\" }, context);\n const child1 = new Frame({ identifier: \"child1\" }, context);\n const child2 = new Frame({ identifier: \"child2\" }, context);\n frame.addChild(child1);\n frame.addChild(child2);\n parent.addChild(frame);\n\n deleteFrameFromTree(frame, { replaceWith: \"children\" });\n\n expect(parent.children).toContain(child1);\n expect(parent.children).toContain(child2);\n expect(parent.children).not.toContain(frame);\n });\n\n it(\"should add a self-time frame as a replacement\", () => {\n const parent = new Frame({ identifier: \"parent\" }, context);\n const frame = new Frame({ identifier: \"frame\" }, context);\n parent.addChild(frame);\n\n deleteFrameFromTree(frame, { replaceWith: \"self_time\" });\n\n expect(parent.children).toHaveLength(1);\n expect(parent.children[0].identifier).toBe(SELF_TIME_FRAME_IDENTIFIER);\n });\n\n it(\"should absorb the frame's time into the parent\", () => {\n const parent = new Frame({ identifier: \"parent\" }, context);\n const frame = new Frame({ identifier: \"frame\", time: 10 }, context);\n parent.addChild(frame);\n\n deleteFrameFromTree(frame, { replaceWith: \"nothing\" });\n\n expect(parent.absorbedTime).toBe(10);\n });\n\n it(\"should throw an error if trying to delete the root frame\", () => {\n const frame = new Frame({ identifier: \"frame\" }, context);\n\n expect(() => {\n deleteFrameFromTree(frame, { replaceWith: \"children\" });\n }).toThrowError(\"Cannot delete the root frame\");\n });\n});\n" }, { "path": "html_renderer/src/lib/model/frameOps.ts", "content": "import { UnreachableCaseError } from \"../utils\";\nimport Frame from \"./Frame\";\nimport { SELF_TIME_FRAME_IDENTIFIER } from \"./Frame\";\n\nexport function deleteFrameFromTree(frame: Frame, options: {replaceWith: 'children'|'self_time'|'nothing'}) {\n const {replaceWith} = options\n const parent = frame.parent\n if (!parent) {\n throw new Error('Cannot delete the root frame')\n }\n\n if (replaceWith == 'children') {\n parent.addChildren(frame.children, {after: frame})\n } else if (replaceWith == 'self_time') {\n parent.addChild(\n new Frame({\n identifier: SELF_TIME_FRAME_IDENTIFIER,\n time: frame.time,\n }, parent.context),\n {after: frame}\n )\n } else if (replaceWith == 'nothing') {\n parent.absorbedTime += frame.time\n } else {\n throw new UnreachableCaseError(replaceWith)\n }\n\n frame.removeFromParent()\n removeFrameFromGroups(frame, true)\n}\n\n/**\n * Combines two frames into one. The frames must have the same parent.\n *\n * @param frame The frame to remove.\n * @param into The frame to combine into.\n */\nexport function combineFrames(frame: Frame, into: Frame): void {\n if (frame.parent !== into.parent) {\n throw new Error(\"Both frames must have the same parent.\");\n }\n\n into.absorbedTime += frame.absorbedTime;\n into.time += frame.time;\n\n Object.entries(frame.attributes).forEach(([attribute, time]) => {\n if (into.attributes[attribute] !== undefined) {\n into.attributes[attribute] += time;\n } else {\n into.attributes[attribute] = time;\n }\n });\n\n into.addChildren(frame.children);\n frame.removeFromParent();\n removeFrameFromGroups(frame, false);\n}\n\n/**\n * Removes a frame from any groups that it is a member of. Should be used when\n * removing a frame from a tree, so groups don't keep references to removed frames.\n *\n * @param frame The frame to be removed from groups.\n * @param recursive Whether to also remove all child frames from their groups.\n */\nexport function removeFrameFromGroups(frame: Frame, recursive: boolean): void {\n if (recursive && frame.children) {\n frame.children.forEach(child => {\n removeFrameFromGroups(child, true);\n });\n }\n\n if (frame.group) {\n const group = frame.group;\n group.removeFrame(frame);\n\n if (group.frames.length === 1) {\n // A group with only one frame is meaningless; remove it entirely.\n group.removeFrame(group.frames[0]);\n }\n }\n}\n" }, { "path": "html_renderer/src/lib/model/modelUtil.ts", "content": "import type Frame from \"./Frame\"\nimport type { Processor, ProcessorFunction, ProcessorOptions } from \"./processors\"\n\nexport function applyProcessors(rootFrame: Frame | null, processors: ProcessorFunction[], options: ProcessorOptions) {\n let frame: Frame | null = rootFrame\n for (const processor of processors) {\n frame = processor(frame, options)\n if (!frame) {\n return null\n }\n }\n return frame\n}\n" }, { "path": "html_renderer/src/lib/model/processors.ts", "content": "import { maxBy } from \"../utils\";\nimport type Frame from \"./Frame\";\nimport { SELF_TIME_FRAME_IDENTIFIER } from \"./Frame\";\nimport FrameGroup from \"./FrameGroup\";\nimport { combineFrames, deleteFrameFromTree } from './frameOps'\n\nexport interface ProcessorOptions {\n filterThreshold?: number // used by remove_irrelevant_nodes\n hideRegex?: string // used by group_library_frames_processor\n showRegex?: string // used by group_library_frames_processor\n}\nexport type ProcessorFunction = (frame: Frame | null, options: ProcessorOptions) => Frame | null\n\nexport interface Processor {\n name: string\n description: string\n function: ProcessorFunction\n optionsSpec: {\n key: string,\n name: string,\n value: {\n type: 'string',\n default: string\n } | {\n type: 'number',\n default: number\n min?: number\n max?: number\n sliderMin?: number\n sliderMax?: number\n sliderLogarithmic?: boolean\n } | {\n type: 'boolean',\n default: boolean\n }\n }[],\n category: 'normal' | 'advanced'\n}\n\nexport const allProcessors: Processor[] = []\n\n/**\n * Removes `` = {};\n\n for (const child of frame.children.slice()) {\n if (childrenByIdentifier[child.identifier]) {\n const aggregateFrame = childrenByIdentifier[child.identifier];\n combineFrames(child, aggregateFrame);\n } else {\n childrenByIdentifier[child.identifier] = child;\n }\n }\n\n frame.children.forEach(child => aggregate_repeated_calls(child, options));\n frame._children.sort((a, b) => b.time - a.time);\n\n return frame;\n}\nallProcessors.push({\n name: \"aggregate_repeated_calls\",\n description: \"Converts a timeline into a time-aggregate summary. Adds together calls along the same call stack, so that repeated calls appear as the same frame. Removes time-linearity - frames are sorted according to total time spent.\",\n function: aggregate_repeated_calls,\n optionsSpec: [],\n category: 'normal',\n})\n\n/**\n * Groups frames that should be hidden into FrameGroup objects,\n * according to `remove_regex` and `show_regex` in the options dictionary.\n */\nexport function group_library_frames_processor(frame: Frame | null, options: ProcessorOptions): Frame | null {\n if (!frame) {\n return null;\n }\n\n const hideRegex = options.hideRegex;\n const showRegex = options.showRegex;\n\n function shouldHide(frame: Frame): boolean {\n const filePath = frame.filePath || \"\";\n const show = showRegex && new RegExp(showRegex).test(filePath);\n const hide = hideRegex && new RegExp(hideRegex).test(filePath);\n\n if (show) {\n return false;\n }\n if (hide) {\n return true;\n }\n return !frame.isApplicationCode\n }\n\n function addFramesToGroup(frame: Frame, group: FrameGroup): void {\n group.addFrame(frame);\n frame.children.forEach(child => {\n if (shouldHide(child)) {\n addFramesToGroup(child, group);\n }\n });\n }\n\n frame.children.forEach(child => {\n if (!child.group && shouldHide(child) && child.children.some(shouldHide)) {\n const group = new FrameGroup(child);\n addFramesToGroup(child, group);\n }\n\n group_library_frames_processor(child, options);\n });\n\n return frame;\n}\nallProcessors.push({\n name: \"Group library frames\",\n description: \"Groups frames that should be hidden.\",\n function: group_library_frames_processor,\n optionsSpec: [\n {\n key: \"hideRegex\",\n name: \"Hide regex\",\n value: {\n type: \"string\",\n default: \"\"\n }\n },\n {\n key: \"showRegex\",\n name: \"Show regex\",\n value: {\n type: \"string\",\n default: \"\"\n }\n }\n ],\n category: 'normal',\n})\n\n/**\n * Combines consecutive 'self time' frames.\n */\nexport function merge_consecutive_self_time(frame: Frame | null, options: ProcessorOptions, recursive: boolean = true): Frame | null {\n if (!frame) {\n return null;\n }\n\n let previousSelfTimeFrame: Frame | null = null;\n\n for (const child of frame.children) {\n if (child.identifier === SELF_TIME_FRAME_IDENTIFIER) {\n if (previousSelfTimeFrame) {\n previousSelfTimeFrame.time += child.time;\n child.removeFromParent();\n } else {\n previousSelfTimeFrame = child;\n }\n } else {\n previousSelfTimeFrame = null;\n }\n }\n\n if (recursive) {\n frame.children.forEach(child => merge_consecutive_self_time(child, options, true));\n }\n\n return frame;\n}\nallProcessors.push({\n name: \"Merge consecutive self time\",\n description: \"Combines consecutive 'self time' frames.\",\n function: merge_consecutive_self_time,\n optionsSpec: [],\n category: 'advanced',\n})\n\n/**\n * Removes unnecessary self-time nodes.\n */\nexport function remove_unnecessary_self_time_nodes(frame: Frame | null, options: ProcessorOptions): Frame | null {\n if (!frame) {\n return null;\n }\n\n if (frame.children.length === 1 && frame.children[0].identifier === SELF_TIME_FRAME_IDENTIFIER) {\n deleteFrameFromTree(frame.children[0], { replaceWith: \"nothing\" });\n }\n\n frame.children.forEach(child => remove_unnecessary_self_time_nodes(child, options));\n\n return frame;\n}\nallProcessors.push({\n name: \"Remove unnecessary self time nodes\",\n description: \"Removes unnecessary self-time nodes.\",\n function: remove_unnecessary_self_time_nodes,\n optionsSpec: [],\n category: 'advanced',\n})\n\n/**\n * Removes nodes that represent less than a certain percentage of the output.\n */\nexport function remove_irrelevant_nodes(frame: Frame | null, options: ProcessorOptions, totalTime: number | null = null): Frame | null {\n if (!frame) {\n return null;\n }\n\n if (totalTime === null) {\n totalTime = frame.time;\n if (totalTime <= 0) {\n totalTime = 1e-44; // Prevent divide by zero\n }\n }\n\n const filterThreshold = options.filterThreshold ?? 0.01;\n\n for (const child of frame.children.slice()) {\n const proportionOfTotal = child.time / totalTime;\n if (proportionOfTotal < filterThreshold) {\n deleteFrameFromTree(child, { replaceWith: \"nothing\" });\n }\n }\n\n frame.children.forEach(child => remove_irrelevant_nodes(child, options, totalTime));\n\n return frame;\n}\nallProcessors.push({\n name: \"Remove irrelevant nodes\",\n description: \"Removes nodes that represent less than a certain percentage of the output.\",\n function: remove_irrelevant_nodes,\n optionsSpec: [\n {\n key: \"filterThreshold\",\n name: \"Filter threshold\",\n value: {\n type: \"number\",\n default: 0.01,\n min: 0,\n max: 1,\n sliderMin: 0.0001,\n sliderMax: 1\n }\n }\n ],\n category: 'normal',\n})\n\n/**\n * Removes the initial frames specific to the command line use of pyinstrument.\n */\nexport function remove_first_pyinstrument_frames_processor(frame: Frame | null, options: ProcessorOptions): Frame | null {\n if (!frame) {\n return null;\n }\n\n const longestFrame = (frames: readonly Frame[]) => maxBy(frames, f => f.time)\n\n const isInitialPyinstrumentFrame = (f: Frame) =>\n f.filePath?.includes(\"pyinstrument/__main__.py\") && f.children.length > 0;\n\n const isExecFrame = (f: Frame) =>\n f.proportionOfParent > 0.8 && f.filePath?.includes(\"\") && f.children.length > 0;\n\n const isRunpyFrame = (f: Frame) =>\n f.proportionOfParent > 0.8 && (new RegExp(\".*runpy.py\").test(f.filePath ?? '') || f.filePath?.includes(\"\")) && f.children.length > 0;\n\n let result = frame;\n\n if (!isInitialPyinstrumentFrame(result)) return frame;\n\n result = longestFrame(result.children)!\n\n if (!isExecFrame(result)) return frame;\n\n result = longestFrame(result.children)!\n\n if (!isRunpyFrame(result)) return frame;\n\n while (isRunpyFrame(result)) {\n result = longestFrame(result.children)!\n }\n\n result.removeFromParent();\n\n return result;\n}\n\nexport function remove_useless_groups_processor(frame: Frame | null, options: ProcessorOptions): Frame | null {\n if (!frame) {\n return null;\n }\n\n frame.children.forEach(child => remove_useless_groups_processor(child, options));\n\n // a group with only two frames is meaningless, you still print the root\n // frame, so you're just collapsing the single child frame with a group,\n // which is better printed as just a single frame\n if (frame.group && frame.group.frames.length < 3) {\n frame.group.removeFrame(frame);\n }\n\n return frame;\n}\n\nallProcessors.push({\n name: \"Remove first pyinstrument frames\",\n description: \"Removes the initial frames specific to the command line use of pyinstrument.\",\n function: remove_first_pyinstrument_frames_processor,\n optionsSpec: [],\n category: 'advanced',\n})\n" }, { "path": "html_renderer/src/lib/settings.ts", "content": "import { persisted } from \"svelte-persisted-store\"\n\nexport interface ViewOptionsCallStack {\n collapseMode: 'non-application'|'disabled'|'custom'\n collapseCustomHide: string\n collapseCustomShow: string\n removeImportlib: boolean\n removeTracebackHide: boolean\n removePyinstrument: boolean\n removeIrrelevant: boolean\n removeIrrelevantThreshold: number\n timeFormat: 'absolute'|'proportion'\n}\n\nexport function CallStackViewOptionsDefaults(): ViewOptionsCallStack {\n return {\n collapseMode: 'non-application',\n collapseCustomHide: '',\n collapseCustomShow: '',\n removeImportlib: true,\n removeTracebackHide: true,\n removePyinstrument: true,\n removeIrrelevant: true,\n removeIrrelevantThreshold: 0.001,\n timeFormat: 'absolute',\n }\n}\n\nexport const viewOptionsCallStack = persisted(\n 'pyinstrument:viewOptionsCallStack',\n CallStackViewOptionsDefaults(),\n {\n syncTabs: true,\n beforeRead(val) {\n // fill in any missing values with defaults\n return {\n ...CallStackViewOptionsDefaults(),\n ...val\n }\n }\n }\n)\nexport const viewOptions = persisted(\n 'pyinstrument:viewOptions',\n {viewMode: 'call-stack' as 'call-stack'|'timeline'},\n {syncTabs: false}\n)\n\nexport interface ViewOptionsTimeline {\n removeImportlib: boolean,\n removeTracebackHide: boolean,\n removePyinstrument: boolean,\n removeIrrelevant: boolean,\n removeIrrelevantThreshold: number,\n}\nexport const viewOptionsTimeline = persisted(\n 'pyinstrument:viewOptionsTimeline',\n {\n removeImportlib: true,\n removeTracebackHide: true,\n removePyinstrument: true,\n removeIrrelevant: true,\n removeIrrelevantThreshold: 0.0001,\n },\n {syncTabs: true}\n)\n" }, { "path": "html_renderer/src/lib/utils.ts", "content": "\nexport class UnreachableCaseError extends Error {\n constructor(value: never) {\n super(`Unreachable case: ${value}`)\n }\n}\n\nexport function sampleGradient(gradient: number[][], location: number) {\n const index = location * (gradient.length - 1)\n const lowerIndex = Math.floor(index)\n const upperIndex = Math.ceil(index)\n const lowerColor = gradient[lowerIndex]\n const upperColor = gradient[upperIndex]\n const ratio = index - lowerIndex\n return mapRGBColor(ratio, { to: [lowerColor, upperColor] })\n}\n\nexport function clamp(value: number, min: number, max: number): number {\n if (value === Infinity) {\n console.warn('clamp: value is Infinity, returning `max`', value);\n return max;\n }\n if (value === -Infinity) {\n console.warn('clamp: value is -Infinity, returning `min`', value);\n return min;\n }\n if (!Number.isFinite(value)) {\n console.warn('clamp: value isn\\'t finite, returning `min`', value);\n return min\n }\n\n if (value < min) return min;\n if (value > max) return max;\n return value;\n}\n\nexport function map(x: number, options: {\n from?: [number, number],\n to?: [number, number],\n clamp?: boolean\n}): number {\n const { from = [0, 1], to = [0, 1] } = options;\n const shouldClamp = options.clamp || false;\n\n let result = (x - from[0]) / (from[1] - from[0]) * (to[1] - to[0]) + to[0]\n if (shouldClamp) {\n result = clamp(result, Math.min(to[0], to[1]), Math.max(to[0], to[1]));\n }\n\n return result;\n}\n\nexport function mapRGBColor(x: number, options: {\n from?: [number, number],\n to: [number[], number[]],\n clamp?: boolean\n}): string {\n return `rgb(\n ${map(x, { from: options.from, to: [options.to[0][0], options.to[1][0]], clamp: options.clamp })},\n ${map(x, { from: options.from, to: [options.to[0][1], options.to[1][1]], clamp: options.clamp })},\n ${map(x, { from: options.from, to: [options.to[0][2], options.to[1][2]], clamp: options.clamp })}\n )`\n}\n\nexport function mapColor(x: number, options: {\n from?: [number, number],\n to: [string, string],\n clamp?: boolean\n}): string {\n return mapRGBColor(x, {\n from: options.from,\n to: [parseColor(options.to[0]), parseColor(options.to[1])],\n clamp: options.clamp\n })\n}\n\n/**\n * @returns A color string in the format \"rgb(r, g, b)\", where r, g, and b\n * are integers in the range [0, 255].\n */\nexport function parseColor(input: string) {\n if (input.substr(0, 1) == \"#\") {\n var collen = (input.length - 1) / 3;\n var fact = [17, 1, 0.062272][collen - 1];\n return [\n Math.round(parseInt(input.substr(1, collen), 16) * fact),\n Math.round(parseInt(input.substr(1 + collen, collen), 16) * fact),\n Math.round(parseInt(input.substr(1 + 2 * collen, collen), 16) * fact)\n ];\n }\n else return input.split(\"(\")[1].split(\")\")[0].split(\",\").map(x => +x);\n}\n\n/**\n * returns a hash of the string, as an integer with 2^53 possible values.\n */\nexport function cyrb53(str: string, seed: number = 0) {\n let h1 = 0xdeadbeef ^ seed, h2 = 0x41c6ce57 ^ seed;\n for(let i = 0, ch; i < str.length; i++) {\n ch = str.charCodeAt(i);\n h1 = Math.imul(h1 ^ ch, 2654435761);\n h2 = Math.imul(h2 ^ ch, 1597334677);\n }\n h1 = Math.imul(h1 ^ (h1 >>> 16), 2246822507);\n h1 ^= Math.imul(h2 ^ (h2 >>> 13), 3266489909);\n h2 = Math.imul(h2 ^ (h2 >>> 16), 2246822507);\n h2 ^= Math.imul(h1 ^ (h1 >>> 13), 3266489909);\n\n return 4294967296 * (2097151 & h2) + (h1 >>> 0);\n};\n\nexport function hash(str: string) {\n return cyrb53(str, 21) / 2**53;\n}\n\ninterface OnClickOutsideOptions {\n ignore?: (HTMLElement | string)[];\n capture?: boolean;\n}\n\ntype OnClickOutsideHandler = (evt: MouseEvent) => void;\n\n/**\n * Listen for clicks outside of an element.\n *\n * Translated from\n * https://github.com/vueuse/vueuse/blob/798077d678a2a8cd50cc3c3b85a722befb6087d4/packages/core/onClickOutside/index.ts\n * License: MIT\n * https://github.com/vueuse/vueuse/blob/798077d678a2a8cd50cc3c3b85a722befb6087d4/LICENSE\n *\n * @param target - The target element to watch for outside clicks.\n * @param handler - The function to call when a click outside the target is detected.\n * @param options - Optional configurations.\n * @returns A cleanup function that removes the event listeners.\n */\nexport function onClickOutside(\n target: HTMLElement,\n handler: OnClickOutsideHandler,\n options: OnClickOutsideOptions = {}\n) {\n const { ignore = [], capture = true } = options;\n const windowObj = window;\n\n if (!windowObj) return () => {};\n\n let shouldListen = true;\n let isProcessingClick = false;\n\n const shouldIgnore = (event: MouseEvent) => {\n return ignore.some((target) => {\n if (typeof target === \"string\") {\n return Array.from(document.querySelectorAll(target)).some(\n (el) => el === event.target || event.composedPath().includes(el)\n );\n } else {\n return target && (event.target === target || event.composedPath().includes(target));\n }\n });\n };\n\n const listener = (event: MouseEvent) => {\n if (!target || target === event.target || event.composedPath().includes(target)) return;\n\n if (event.detail === 0) shouldListen = !shouldIgnore(event);\n\n if (!shouldListen) {\n shouldListen = true;\n return;\n }\n\n handler(event);\n };\n\n const clickListener = (event: MouseEvent) => {\n if (!isProcessingClick) {\n isProcessingClick = true;\n setTimeout(() => {\n isProcessingClick = false;\n }, 0);\n listener(event);\n }\n };\n\n const pointerDownListener = (event: PointerEvent) => {\n shouldListen = !shouldIgnore(event) && !!(target && !event.composedPath().includes(target));\n };\n\n windowObj.addEventListener(\"click\", clickListener, { passive: true, capture });\n windowObj.addEventListener(\"pointerdown\", pointerDownListener, { passive: true });\n\n const stop = () => {\n windowObj.removeEventListener(\"click\", clickListener, { capture });\n windowObj.removeEventListener(\"pointerdown\", pointerDownListener);\n };\n\n return stop;\n}\n\nexport function escapeForHtml(str: string) {\n const div = document.createElement('div');\n div.appendChild(document.createTextNode(str));\n return div.innerHTML;\n}\n\nexport function htmlForStringWithWBRAtSlashes(str: string) {\n let result = escapeForHtml(str);\n return result.replace(/(\\/|\\\\)/g, s => `${s}`);\n}\n\nexport function maxBy(list: readonly T[], keyFunc: (a:T) => number): T|null {\n if (list.length == 0) return null\n\n let maxResult = list[0]\n let maxResultScore = keyFunc(maxResult)\n\n for (const el of list) {\n const elScore = keyFunc(el)\n if (elScore > maxResultScore) {\n maxResult = el\n maxResultScore = elScore\n }\n }\n\n return maxResult\n}\n\n/**\n * Provides 56 bits of randomness as a neat 11-character string.\n */\nexport function randomId() {\n return Math.random().toString(36).substring(2);\n}\n" }, { "path": "html_renderer/src/main.ts", "content": "import './app.css'\nimport App from './App.svelte'\nimport type { SessionData } from './lib/dataTypes'\nimport Session from './lib/model/Session'\n\nexport default {\n render(element: HTMLElement, data: SessionData) {\n const session = new Session(data)\n\n return new App({\n target: element,\n props: { session },\n })\n }\n}\n" }, { "path": "html_renderer/src/types.d.ts", "content": "declare module 'uuid' {\n export function v4(): string;\n}\n" }, { "path": "html_renderer/src/vite-env.d.ts", "content": "/// \n/// \n" }, { "path": "html_renderer/svelte.config.js", "content": "import { vitePreprocess } from '@sveltejs/vite-plugin-svelte'\n\nexport default {\n // Consult https://svelte.dev/docs#compile-time-svelte-preprocess\n // for more information about preprocessors\n preprocess: vitePreprocess(),\n}\n" }, { "path": "html_renderer/tsconfig.json", "content": "{\n \"extends\": \"@tsconfig/svelte/tsconfig.json\",\n \"compilerOptions\": {\n \"target\": \"ESNext\",\n \"useDefineForClassFields\": true,\n \"module\": \"ESNext\",\n \"resolveJsonModule\": true,\n \"strict\": true,\n /**\n * Typecheck JS in `.svelte` and `.js` files by default.\n * Disable checkJs if you'd like to use dynamic types in JS.\n * Note that setting allowJs false does not prevent the use\n * of JS in `.svelte` files.\n */\n \"allowJs\": true,\n \"checkJs\": true,\n \"isolatedModules\": true,\n \"moduleDetection\": \"force\"\n },\n \"include\": [\n \"src/**/*.d.ts\", \"src/**/*.ts\", \"src/**/*.js\", \"src/**/*.svelte\",\n \"demo-src/**/*.d.ts\", \"demo-src/**/*.ts\", \"demo-src/**/*.js\", \"demo-src/**/*.svelte\"\n],\n \"references\": [{ \"path\": \"./tsconfig.node.json\" }]\n}\n" }, { "path": "html_renderer/tsconfig.node.json", "content": "{\n \"compilerOptions\": {\n \"composite\": true,\n \"tsBuildInfoFile\": \"./node_modules/.tmp/tsconfig.node.tsbuildinfo\",\n \"skipLibCheck\": true,\n \"module\": \"ESNext\",\n \"moduleResolution\": \"bundler\",\n \"strict\": true\n },\n \"include\": [\"vite.config.ts\"]\n}\n" }, { "path": "html_renderer/vite.config.ts", "content": "import { defineConfig } from 'vite'\nimport { svelte } from '@sveltejs/vite-plugin-svelte'\n\n// https://vitejs.dev/config/\nexport default defineConfig(env => {\n if (env.mode === 'preview') {\n return {\n plugins: [svelte()],\n base: './'\n }\n } else {\n return {\n plugins: [svelte()],\n build: {\n assetsInlineLimit: 1e100,\n cssCodeSplit: false,\n lib: {\n entry: 'src/main.ts',\n name: 'pyinstrumentHTMLRenderer',\n fileName: 'pyinstrument-html',\n formats: ['iife'],\n }\n }\n }\n }\n})\n" }, { "path": "metrics/count_samples.py", "content": "import time\n\nimport pyinstrument\n\n\ndef do_nothing():\n pass\n\n\ndef busy_wait(duration: float):\n start = time.time()\n while time.time() - start < duration:\n do_nothing()\n\n\ndef count_samples(duration: float, interval: float, use_timing_thread: bool):\n profiler = pyinstrument.Profiler(interval=interval, use_timing_thread=use_timing_thread)\n profiler.start()\n busy_wait(duration)\n session = profiler.stop()\n\n reference = duration / interval\n sample_count = len(session.frame_records)\n print(f\"Interval: {interval}, use_timing_thread: {use_timing_thread}\")\n print(\n f\"Expected samples: {reference}, actual samples: {sample_count}, {sample_count / reference:.2f}x\"\n )\n\n\ncount_samples(0.1, 0.001, False)\ncount_samples(0.1, 0.001, True)\ncount_samples(0.1, 0.0001, False)\ncount_samples(0.1, 0.0001, True)\n" }, { "path": "metrics/frame_info.py", "content": "from __future__ import annotations\n\nimport inspect\nfrom timeit import Timer\nfrom types import FrameType\nfrom typing import Final\n\nfrom pyinstrument.low_level.stat_profile import get_frame_info\n\nframe: Final[FrameType | None] = inspect.currentframe()\nassert frame\n\n\ndef test_func():\n get_frame_info(frame)\n\n\nt = Timer(stmt=test_func)\ntest_func_timings = t.repeat(number=400000)\n\nprint(\"min time\", min(test_func_timings))\nprint(\"max time\", max(test_func_timings))\nprint(\"average time\", sum(test_func_timings) / len(test_func_timings))\n" }, { "path": "metrics/interrupt.py", "content": "from platform import platform\n\nfrom pyinstrument import Profiler\n\np = Profiler()\n\np.start()\n\n\ndef func():\n fd = open(\"/dev/urandom\", \"rb\")\n _ = fd.read(1024 * 1024)\n\n\nfunc()\n\n# this failed on ubuntu 12.04\nplatform()\n\np.stop()\n\nprint(p.output_text())\n\np.write_html(\"ioerror_out.html\")\n" }, { "path": "metrics/multi_overhead.py", "content": "import cProfile\nimport profile\nimport re\nimport sys\nimport time\nfrom timeit import Timer\n\nimport django.conf\nimport django.template.loader\n\nimport pyinstrument\n\ndjango.conf.settings.configure(\n INSTALLED_APPS=(),\n TEMPLATES=[\n {\n \"BACKEND\": \"django.template.backends.django.DjangoTemplates\",\n \"DIRS\": [\n \"./examples/django_example/django_example/templates\",\n ],\n }\n ],\n)\ndjango.setup()\n\n\ndef test_func_re():\n re.compile(\n r\"[a-z0-9!#$%&'*+/=?^_`{|}~-]+(?:\\.[a-z0-9!#$%&'*+/=?^_`{|}~-]+)*@(?:[a-z0-9](?:[a-z0-9-]*[a-z0-9])?\\.)+[a-z0-9](?:[a-z0-9-]*[a-z0-9])?\"\n )\n\n\ndef test_func_template():\n django.template.loader.render_to_string(\"template.html\")\n\n\n# heat caches\ntest_func_template()\n\n\ndef time_base(function, repeats):\n timer = Timer(stmt=function)\n return timer.repeat(number=repeats)\n\n\ndef time_profile(function, repeats):\n timer = Timer(stmt=function)\n p = profile.Profile()\n return p.runcall(lambda: timer.repeat(number=repeats))\n\n\ndef time_cProfile(function, repeats):\n timer = Timer(stmt=function)\n p = cProfile.Profile()\n return p.runcall(lambda: timer.repeat(number=repeats))\n\n\ndef time_pyinstrument(function, repeats):\n timer = Timer(stmt=function)\n p = pyinstrument.Profiler()\n p.start()\n result = timer.repeat(number=repeats)\n p.stop()\n return result\n\n\nprofilers = (\n (\"Base\", time_base),\n # ('profile', time_profile),\n (\"cProfile\", time_cProfile),\n (\"pyinstrument\", time_pyinstrument),\n)\n\ntests = (\n (\"re.compile\", test_func_re, 120000),\n (\"django template render\", test_func_template, 400),\n)\n\n\ndef timings_for_test(test_func, repeats):\n results = []\n for profiler_tuple in profilers:\n time = profiler_tuple[1](test_func, repeats)\n results += (profiler_tuple[0], min(time))\n\n return results\n\n\n# print header\nfor column in [\"\"] + [test[0] for test in tests]:\n sys.stdout.write(f\"{column:>24}\")\n\nsys.stdout.write(\"\\n\")\n\nfor profiler_tuple in profilers:\n sys.stdout.write(f\"{profiler_tuple[0]:>24}\")\n sys.stdout.flush()\n for test_tuple in tests:\n time = min(profiler_tuple[1](test_tuple[1], test_tuple[2])) * 10\n sys.stdout.write(f\"{time:>24.2f}\")\n sys.stdout.flush()\n sys.stdout.write(\"\\n\")\n" }, { "path": "metrics/overflow.py", "content": "from pyinstrument import Profiler\n\np = Profiler()\n\np.start()\n\n\ndef func(num):\n if num == 0:\n return\n b = 0\n for x in range(1, 100000):\n b += x\n\n return func(num - 1)\n\n\nfunc(900)\n\np.stop()\n\nprint(p.output_text())\n\np.write_html(\"overflow_out.html\")\n" }, { "path": "metrics/overhead.py", "content": "import cProfile\nimport profile\nfrom timeit import Timer\n\nimport django.conf\nimport django.template.loader\n\nimport pyinstrument\n\ndjango.conf.settings.configure(\n INSTALLED_APPS=(),\n TEMPLATES=[\n {\n \"BACKEND\": \"django.template.backends.django.DjangoTemplates\",\n \"DIRS\": [\n \"./examples/demo_scripts/django_example/django_example/templates\",\n ],\n }\n ],\n)\ndjango.setup()\n\n\ndef test_func_template():\n django.template.loader.render_to_string(\"template.html\")\n\n\nt = Timer(stmt=test_func_template)\ntest_func = lambda: t.repeat(number=4000)\n\n# base\nbase_timings = test_func()\n\n# # profile\n# p = profile.Profile()\n# profile_timings = p.runcall(lambda: test_func())\n\n# cProfile\ncp = cProfile.Profile()\ncProfile_timings = cp.runcall(test_func)\n\n# pyinstrument\nprofiler = pyinstrument.Profiler()\nprofiler.start()\npyinstrument_timings = test_func()\nprofiler.stop()\n\n# pyinstrument timeline\n# profiler = pyinstrument.Profiler(timeline=True)\n# profiler.start()\n# pyinstrument_timeline_timings = test_func()\n# profiler.stop()\n\nprofiler.write_html(\"out.html\")\n\nprint(profiler.output_text(unicode=True, color=True))\n\ngraph_data = (\n (\"Base timings\", min(base_timings)),\n # ('profile', min(profile_timings)),\n (\"cProfile\", min(cProfile_timings)),\n (\"pyinstrument\", min(pyinstrument_timings)),\n # ('pyinstrument timeline', min(pyinstrument_timeline_timings)),\n)\n\nGRAPH_WIDTH = 60\nprint(\"Profiler overhead\")\nprint(\"–\" * (GRAPH_WIDTH + 17))\nmax_time = max([t[1] for t in graph_data])\nfor name, time in graph_data:\n chars = int((time / max_time) * GRAPH_WIDTH)\n spaces = GRAPH_WIDTH - chars\n print(f'{name:15} {\"█\" * chars}{\" \" * spaces} {time:.3f}s')\nprint()\n" }, { "path": "noxfile.py", "content": "import os\n\nimport nox\n\nnox.needs_version = \">=2024.4.15\"\nnox.options.default_venv_backend = \"uv|virtualenv\"\n\n\n@nox.session(python=[\"3.8\", \"3.9\", \"3.10\", \"3.11\", \"3.12\", \"3.13\"])\ndef test(session):\n session.env[\"UV_PRERELEASE\"] = \"allow\"\n session.install(\"-e\", \".[test]\", \"setuptools\")\n session.run(\"python\", \"setup.py\", \"build_ext\", \"--inplace\")\n session.run(\"pytest\")\n\n\n@nox.session()\ndef docs(session):\n session.env[\"UV_PRERELEASE\"] = \"allow\"\n session.install(\"-e\", \".[docs]\")\n session.run(\"make\", \"-C\", \"docs\", \"clean\", \"html\")\n\n\n@nox.session(default=False)\ndef livedocs(session):\n session.env[\"UV_PRERELEASE\"] = \"allow\"\n session.install(\"-e\", \".[docs]\")\n session.run(\"make\", \"-C\", \"docs\", \"clean\", \"livehtml\")\n\n\n@nox.session(default=False, python=False)\ndef htmldev(session):\n with session.chdir(\"html_renderer\"):\n session.run(\"npm\", \"install\")\n session.run(\"npm\", \"run\", \"dev\")\n\n\n@nox.session(default=False, python=False)\ndef watchbuild(session):\n # this doesn't use nox's environment isolation, because we want to build\n # the python version of the activated venv\n # we pass --force because the build_ext command doesn't rebuild if the\n # headers change\n session.run(\"python\", \"setup.py\", \"build_ext\", \"--inplace\", \"--force\")\n session.run(\n \"pipx\",\n \"run\",\n \"--spec\",\n \"watchdog\",\n \"watchmedo\",\n \"shell-command\",\n \"--patterns=*.h;*.c;setup.py;setup.cfg\",\n \"--recursive\",\n \"--command=python setup.py build_ext --inplace --force\",\n \"pyinstrument\",\n )\n\n\n@nox.session(python=False, default=False)\ndef watch(session):\n session.run(\n \"npx\",\n \"concurrently\",\n \"--kill-others\",\n \"--names\",\n \"bext,html,docs\",\n \"--prefix-colors\",\n \"bgBlue,bgGreen,bgMagenta\",\n \"nox -s watchbuild\",\n \"nox -s htmldev\",\n \"nox -s livedocs\",\n )\n" }, { "path": "pyinstrument/__init__.py", "content": "import warnings\n\nfrom pyinstrument.context_manager import profile\nfrom pyinstrument.profiler import Profiler\n\n__all__ = [\"__version__\", \"Profiler\", \"load_ipython_extension\", \"profile\"]\n__version__ = \"5.1.2\"\n\n# enable deprecation warnings\nwarnings.filterwarnings(\"once\", \".*\", DeprecationWarning, r\"pyinstrument\\..*\")\n\n\ndef load_ipython_extension(ipython):\n \"\"\"\n This function is called by IPython to load the pyinstrument IPython\n extension, which is done with the magic command `%load_ext pyinstrument`.\n \"\"\"\n\n from pyinstrument.magic import PyinstrumentMagic\n\n ipython.register_magics(PyinstrumentMagic)\n" }, { "path": "pyinstrument/__main__.py", "content": "from __future__ import annotations\n\nimport fnmatch\nimport glob\nimport json\nimport optparse\nimport os\nimport runpy\nimport shutil\nimport sys\nimport time\nfrom typing import Any, List, TextIO, cast\n\nimport pyinstrument\nfrom pyinstrument import Profiler, renderers\nfrom pyinstrument.session import Session\nfrom pyinstrument.util import (\n file_is_a_tty,\n file_supports_color,\n file_supports_unicode,\n object_with_import_path,\n)\nfrom pyinstrument.vendor import appdirs, keypath\n\n# pyright: strict\n# pyright: reportUnknownMemberType=false\n\n\ndef main():\n usage = \"usage: pyinstrument [options] scriptfile [arg] ...\"\n version_string = \"pyinstrument {v}, on Python {pyv[0]}.{pyv[1]}.{pyv[2]}\".format(\n v=pyinstrument.__version__,\n pyv=sys.version_info,\n )\n parser: Any = optparse.OptionParser(usage=usage, version=version_string)\n parser.allow_interspersed_args = False\n\n def store_and_consume_remaining(\n option: optparse.Option, opt: str, value: str, parser: optparse.OptionParser\n ):\n \"\"\"\n A callback for optparse that stores the value and consumes all\n remaining arguments, storing them in the same variable as a tuple.\n \"\"\"\n\n # assert a few things we know to be true about the parser\n assert option.dest\n assert parser.rargs is not None\n assert parser.largs is not None\n\n # everything after this argument should be consumed\n remaining_arguments = parser.rargs + parser.largs\n parser.rargs[:] = []\n parser.largs[:] = []\n\n setattr(parser.values, option.dest, ValueWithRemainingArgs(value, remaining_arguments))\n\n parser.add_option(\n \"--load\",\n dest=\"load\",\n action=\"store\",\n metavar=\"FILENAME\",\n help=\"instead of running a script, load a profile session from a pyisession file\",\n )\n\n parser.add_option(\n \"\",\n \"--load-prev\",\n dest=\"load_prev\",\n action=\"store\",\n metavar=\"IDENTIFIER\",\n help=\"instead of running a script, load a previous profile session as specified by an identifier\",\n )\n\n parser.add_option(\n \"-m\",\n \"\",\n dest=\"module\",\n action=\"callback\",\n callback=store_and_consume_remaining,\n type=\"string\",\n help=\"run library module as a script, like 'python -m module'\",\n )\n parser.add_option(\n \"-c\",\n \"\",\n dest=\"program\",\n action=\"callback\",\n callback=store_and_consume_remaining,\n type=\"string\",\n help=\"program passed in as string, like 'python -c \\\"...\\\"'\",\n )\n parser.add_option(\n \"\",\n \"--from-path\",\n dest=\"from_path\",\n action=\"store_true\",\n help=\"(POSIX only) instead of the working directory, look for scriptfile in the PATH environment variable\",\n )\n\n parser.add_option(\n \"-o\", \"--outfile\", dest=\"outfile\", action=\"store\", help=\"save to \", default=None\n )\n\n parser.add_option(\n \"-r\",\n \"--renderer\",\n dest=\"renderer\",\n action=\"store\",\n type=\"string\",\n help=(\n \"how the report should be rendered. One of: 'text', 'html', 'json', 'speedscope', \"\n \"'pyisession', 'pstats', or python import path to a renderer class. Defaults to \"\n \"the appropriate format for the extension if OUTFILE is given, otherwise, defaults \"\n \"to 'text'.\"\n ),\n default=None,\n )\n\n parser.add_option(\n \"-p\",\n \"--render-option\",\n dest=\"render_options\",\n action=\"append\",\n metavar=\"RENDER_OPTION\",\n type=\"string\",\n help=(\n \"options to pass to the renderer, in the format 'flag_name' or 'option_name=option_value'. \"\n \"For example, to set the option 'time', pass '-p time=percent_of_total'. To pass multiple \"\n \"options, use the -p option multiple times. You can set processor options using dot-syntax, \"\n \"like '-p processor_options.filter_threshold=0'. option_value is parsed as a JSON value or \"\n \"a string.\"\n ),\n )\n\n parser.add_option(\n \"\",\n \"--html\",\n dest=\"output_html\",\n action=\"store_true\",\n help=optparse.SUPPRESS_HELP,\n default=False,\n ) # deprecated shortcut for --renderer=html\n\n parser.add_option(\n \"-t\",\n \"--timeline\",\n dest=\"timeline\",\n action=\"store_true\",\n default=False,\n help=\"render as a timeline - preserve ordering and don't condense repeated calls\",\n )\n\n parser.add_option(\n \"\",\n \"--target-description\",\n dest=\"target_description\",\n action=\"store\",\n type=\"string\",\n default=\"Program: {args}\",\n help=(\n \"description text to display in the report. The placeholder '{args}' may be used \"\n \"to include the CLI arguments passed to the target script, including \"\n \"the script name. Default: 'Program: {args}'\"\n ),\n )\n\n parser.add_option(\n \"\",\n \"--hide\",\n dest=\"hide_fnmatch\",\n action=\"store\",\n metavar=\"EXPR\",\n help=(\n \"glob-style pattern matching the file paths whose frames to hide. Defaults to \"\n \"hiding non-application code\"\n ),\n )\n parser.add_option(\n \"\",\n \"--hide-regex\",\n dest=\"hide_regex\",\n action=\"store\",\n metavar=\"REGEX\",\n help=(\n \"regex matching the file paths whose frames to hide. Useful if --hide doesn't give \"\n \"enough control.\"\n ),\n )\n\n parser.add_option(\n \"\",\n \"--show\",\n dest=\"show_fnmatch\",\n action=\"store\",\n metavar=\"EXPR\",\n help=(\n \"glob-style pattern matching the file paths whose frames to \"\n \"show, regardless of --hide or --hide-regex. For example, use \"\n \"--show '*//*' to show frames within a library that \"\n \"would otherwise be hidden.\"\n ),\n )\n parser.add_option(\n \"\",\n \"--show-regex\",\n dest=\"show_regex\",\n action=\"store\",\n metavar=\"REGEX\",\n help=(\n \"regex matching the file paths whose frames to always show. \"\n \"Useful if --show doesn't give enough control.\"\n ),\n )\n parser.add_option(\n \"\",\n \"--show-all\",\n dest=\"show_all\",\n action=\"store_true\",\n help=\"show everything\",\n default=False,\n )\n\n parser.add_option(\n \"\",\n \"--unicode\",\n dest=\"unicode\",\n action=\"store_true\",\n help=\"(text renderer only) force unicode text output\",\n )\n parser.add_option(\n \"\",\n \"--no-unicode\",\n dest=\"unicode\",\n action=\"store_false\",\n help=\"(text renderer only) force ascii text output\",\n )\n\n parser.add_option(\n \"\",\n \"--color\",\n dest=\"color\",\n action=\"store_true\",\n help=\"(text renderer only) force ansi color text output\",\n )\n parser.add_option(\n \"\",\n \"--no-color\",\n dest=\"color\",\n action=\"store_false\",\n help=\"(text renderer only) force no color text output\",\n )\n parser.add_option(\n \"-i\",\n \"--interval\",\n action=\"store\",\n type=float,\n help=(\n \"Minimum time, in seconds, between each stack sample. Smaller values \"\n \"allow resolving shorter duration function calls but incur a \"\n \"greater runtime and memory consumption overhead. For longer running \"\n \"scripts, setting a larger interval reduces the memory consumption \"\n \"required to store the stack samples.\"\n ),\n default=0.001,\n )\n parser.add_option(\n \"\",\n \"--use-timing-thread\",\n dest=\"use_timing_thread\",\n action=\"store_true\",\n help=(\n \"Use a separate thread to time the interval between stack samples. \"\n \"This can reduce the overhead of sampling on some systems.\"\n ),\n )\n\n # parse the options\n\n if not sys.argv[1:]:\n parser.print_help()\n sys.exit(2)\n\n options, args = parser.parse_args() # type: ignore\n\n # make command line options type-checked\n options = cast(CommandLineOptions, options)\n # work around a type checking bug...\n args = cast(List[str], args) # type: ignore\n\n session_options_used = [\n options.load is not None,\n options.load_prev is not None,\n options.module is not None,\n options.program is not None,\n len(args) > 0,\n ]\n if session_options_used.count(True) == 0:\n parser.print_help()\n sys.exit(2)\n if session_options_used.count(True) > 1:\n parser.error(\"You can only specify one of --load, --load-prev, -m, or script arguments\")\n\n if options.module is not None and options.from_path:\n parser.error(\"The options -m and --from-path are mutually exclusive.\")\n\n if options.from_path and sys.platform == \"win32\":\n parser.error(\"--from-path is not supported on Windows\")\n\n renderer_class = get_renderer_class(options)\n\n # open the output file\n\n if options.outfile:\n f = open(\n options.outfile,\n \"w\",\n encoding=\"utf-8\",\n errors=\"surrogateescape\",\n newline=\"\" if renderer_class.output_is_binary else None,\n )\n should_close_f_after_writing = True\n else:\n f = sys.stdout\n should_close_f_after_writing = False\n\n inner_exception = None\n\n # create the renderer\n\n try:\n renderer = create_renderer(renderer_class, options, output_file=f)\n except OptionsParseError as e:\n parser.error(e.args[0])\n exit(1)\n\n if renderer.output_is_binary and not options.outfile and file_is_a_tty(f):\n parser.error(\n \"Can't write binary output to a terminal. Redirect to a file or use --outfile.\"\n )\n exit(1)\n\n # get the session - execute code or load from disk\n\n if options.load_prev:\n session = load_report_from_temp_storage(options.load_prev)\n elif options.load:\n session = Session.load(options.load)\n else:\n # we are running some code\n if options.module is not None:\n if not (sys.path[0] and os.path.samefile(sys.path[0], \".\")):\n # when called with '-m', search the cwd for that module\n sys.path[0] = os.path.abspath(\".\")\n\n argv = [options.module.value] + options.module.remaining_args\n code = \"run_module(modname, run_name='__main__', alter_sys=True)\"\n globs = {\"run_module\": runpy.run_module, \"modname\": options.module.value}\n elif options.program is not None:\n argv = [\"-c\", *options.program.remaining_args]\n code = options.program.value\n globs = {\"__name__\": \"__main__\"}\n # set the first path entry to '' to match behaviour of python -c\n sys.path[0] = \"\"\n else:\n argv = args\n if options.from_path:\n progname = shutil.which(args[0])\n if progname is None:\n sys.exit(f\"Error: program {args[0]} not found in PATH!\")\n else:\n progname = args[0]\n if not os.path.exists(progname):\n sys.exit(f\"Error: program {args[0]} not found!\")\n\n # Make sure we overwrite the first entry of sys.path ('.') with directory of the program.\n sys.path[0] = os.path.dirname(progname)\n\n code = \"run_path(progname, run_name='__main__')\"\n globs = {\"run_path\": runpy.run_path, \"progname\": progname}\n\n old_argv = sys.argv.copy()\n\n # there is no point using async mode for command line invocation,\n # because it will always be capturing the whole program, we never want\n # any execution to be , and it avoids duplicate\n # profiler errors.\n profiler = Profiler(\n interval=options.interval,\n async_mode=\"disabled\",\n use_timing_thread=options.use_timing_thread,\n )\n\n try:\n target_description = options.target_description.format(args=\" \".join(argv))\n except KeyError as e:\n parser.error(f\"Unknown placeholder {e.args[0]!r} in --target-description\")\n # explicitly add exit() so that pyright doesn't complain, even\n # though parser.error already exits with error code 2\n exit(2)\n except IndexError as e:\n parser.error(f\"Empty placeholder in --target-description\")\n exit(2)\n\n profiler.start(target_description=target_description)\n\n try:\n sys.argv[:] = argv\n exec(code, globs, None)\n except (SystemExit, KeyboardInterrupt) as e:\n inner_exception = e\n finally:\n sys.argv[:] = old_argv\n\n session = profiler.stop()\n\n if isinstance(renderer, renderers.HTMLRenderer) and not options.outfile and file_is_a_tty(f):\n # don't write HTML to a TTY, open in browser instead\n output_filename = renderer.open_in_browser(session)\n print(\"stdout is a terminal, so saved profile output to %s\" % output_filename)\n else:\n f.write(renderer.render(session))\n if should_close_f_after_writing:\n f.close()\n\n if isinstance(renderer, renderers.ConsoleRenderer) and not options.outfile:\n _, report_identifier = save_report_to_temp_storage(session)\n print(\"To view this report with different options, run:\")\n print(\" pyinstrument --load-prev %s [options]\" % report_identifier)\n print(\"\")\n\n if inner_exception:\n # If the script raised an exception, re-raise it now to resume\n # the normal Python exception handling (printing the traceback, etc.)\n raise inner_exception\n\n\nclass OptionsParseError(Exception):\n pass\n\n\ndef compute_render_options(\n options: CommandLineOptions,\n renderer_class: type[renderers.Renderer],\n unicode_support: bool,\n color_support: bool,\n) -> dict[str, Any]:\n \"\"\"\n Given a list of `CommandLineOptions`, compute the\n rendering options for the given renderer.\n\n Raises an `OptionsParseError` if there is an error parsing the options.\n\n unicode_support:\n indicate whether the expected output supports unicode\n color_support:\n indicate whether the expected output supports color\n\n Both of these will be used to determine the default of outputting unicode\n or color, but can be overridden with `options.color` and `option.unicode`.\n \"\"\"\n\n # parse show/hide options\n if options.hide_fnmatch is not None and options.hide_regex is not None:\n raise OptionsParseError(\"You can‘t specify both --hide and --hide-regex\")\n\n hide_regex: str | None\n show_regex: str | None\n if options.hide_fnmatch is not None:\n hide_regex = fnmatch.translate(options.hide_fnmatch)\n else:\n hide_regex = options.hide_regex\n\n show_options_used = [\n options.show_fnmatch is not None,\n options.show_regex is not None,\n options.show_all,\n ]\n if show_options_used.count(True) > 1:\n raise OptionsParseError(\"You can only specify one of --show, --show-regex and --show-all\")\n\n if options.show_fnmatch is not None:\n show_regex = fnmatch.translate(options.show_fnmatch)\n elif options.show_all:\n show_regex = r\".*\"\n else:\n show_regex = options.show_regex\n\n render_options: dict[str, Any] = {}\n\n if issubclass(renderer_class, renderers.FrameRenderer):\n render_options[\"processor_options\"] = {\n \"hide_regex\": hide_regex,\n \"show_regex\": show_regex,\n }\n\n if issubclass(renderer_class, renderers.ConsoleRenderer):\n unicode_override = options.unicode is not None\n color_override = options.color is not None\n unicode: Any = options.unicode if unicode_override else unicode_support\n color: Any = options.color if color_override else color_support\n\n render_options.update({\"unicode\": unicode, \"color\": color})\n\n if options.timeline:\n render_options[\"timeline\"] = True\n if options.show_all:\n render_options[\"show_all\"] = True\n\n # apply user options\n if options.render_options is not None:\n for renderer_option in options.render_options:\n key, sep, value = renderer_option.partition(\"=\")\n\n if sep == \"\":\n # we're setting a flag, like `-p unicode`\n keypath.set_value_at_keypath(render_options, key, True)\n else:\n # it's a key=value structure\n try:\n # try parsing as a JSON value\n parsed_value = json.loads(value)\n except json.JSONDecodeError:\n # otherwise treat it as a string\n parsed_value = value\n\n keypath.set_value_at_keypath(render_options, key, parsed_value)\n\n return render_options\n\n\ndef create_renderer(\n renderer_class: type[renderers.Renderer], options: CommandLineOptions, output_file: TextIO\n) -> renderers.Renderer:\n render_options = compute_render_options(\n options,\n renderer_class=renderer_class,\n unicode_support=file_supports_unicode(output_file),\n color_support=file_supports_color(output_file),\n )\n\n try:\n return renderer_class(**render_options)\n except (TypeError, renderers.Renderer.MisconfigurationError) as err:\n # TypeError is probably a bad renderer option, so we produce a nicer error message\n raise OptionsParseError(\n f\"Failed to create {renderer_class.__name__}. Check your renderer options.\\n {err}\\n\"\n )\n\n\ndef get_renderer_class(options: CommandLineOptions) -> type[renderers.Renderer]:\n renderer = options.renderer\n\n if options.output_html:\n renderer = \"html\"\n\n if renderer is None and options.outfile:\n renderer = guess_renderer_from_outfile(options.outfile)\n\n if renderer is None:\n renderer = \"text\"\n\n if renderer == \"text\":\n return renderers.ConsoleRenderer\n elif renderer == \"html\":\n return renderers.HTMLRenderer\n elif renderer == \"json\":\n return renderers.JSONRenderer\n elif renderer == \"speedscope\":\n return renderers.SpeedscopeRenderer\n elif renderer == \"pyisession\" or renderer == \"session\": # session is the old name\n return renderers.SessionRenderer\n elif renderer == \"pstats\":\n return renderers.PstatsRenderer\n else:\n try:\n return object_with_import_path(renderer)\n except (ValueError, ModuleNotFoundError, AttributeError) as err:\n # ValueError means we failed to import this object\n raise OptionsParseError(\n f\"Failed to find renderer with name {renderer!r}.\\n\"\n \"Options are text, html, json, speedscope, pstats or a Python\\n\"\n \"import path to a Renderer class.\\n\"\n \"\\n\"\n f\"Underlying error: {err}\\n\"\n )\n\n\ndef guess_renderer_from_outfile(outfile: str) -> str | None:\n # ignore case of outfile\n outfile = outfile.lower()\n\n _, ext = os.path.splitext(outfile)\n\n if ext == \".txt\":\n return \"text\"\n elif ext in [\".html\", \".htm\"]:\n return \"html\"\n elif outfile.endswith(\".speedscope.json\"):\n return \"speedscope\"\n elif ext == \".json\":\n return \"json\"\n elif ext == \".pyisession\":\n return \"session\"\n elif ext == \".pstats\":\n return \"pstats\"\n else:\n return None\n\n\ndef report_dir() -> str:\n data_dir = appdirs.user_data_dir(\"pyinstrument\", \"com.github.joerick\") # type: ignore\n report_dir = os.path.join(data_dir, \"reports\")\n if not os.path.exists(report_dir):\n os.makedirs(report_dir)\n return report_dir\n\n\ndef load_report_from_temp_storage(identifier: str) -> Session:\n \"\"\"\n Returns the session referred to by identifier\n \"\"\"\n path = os.path.join(report_dir(), identifier + \".pyisession\")\n try:\n return Session.load(path)\n except FileNotFoundError:\n sys.exit(f\"pyinstrument: Couldn't find a profile with identifier {identifier}\")\n\n\ndef save_report_to_temp_storage(session: Session):\n \"\"\"\n Saves the session to a temp file, and returns that path.\n Also prunes the number of reports to 10 so there aren't loads building up.\n \"\"\"\n # prune this folder to contain the last 10 sessions\n previous_reports = glob.glob(os.path.join(report_dir(), \"*.pyisession\"))\n previous_reports.sort(reverse=True)\n while len(previous_reports) > 10:\n report_file = previous_reports.pop()\n os.remove(report_file)\n\n identifier = time.strftime(\"%Y-%m-%dT%H-%M-%S\", time.localtime(session.start_time))\n\n path = os.path.join(report_dir(), identifier + \".pyisession\")\n session.save(path)\n return path, identifier\n\n\nclass CommandLineOptions:\n \"\"\"\n A type that codifies the `options` variable.\n \"\"\"\n\n module: ValueWithRemainingArgs | None\n program: ValueWithRemainingArgs | None\n load: str | None\n load_prev: str | None\n from_path: str | None\n hide_fnmatch: str | None\n show_fnmatch: str | None\n hide_regex: str | None\n show_regex: str | None\n show_all: bool\n output_html: bool\n outfile: str | None\n render_options: list[str] | None\n target_description: str\n\n unicode: bool | None\n color: bool | None\n renderer: str | None\n timeline: bool\n interval: float\n use_timing_thread: bool | None\n\n\nclass ValueWithRemainingArgs:\n def __init__(self, value: str, remaining_args: list[str]):\n self.value = value\n self.remaining_args = remaining_args\n\n\nif __name__ == \"__main__\":\n main()\n" }, { "path": "pyinstrument/context_manager.py", "content": "from __future__ import annotations\n\nimport functools\nimport inspect\nimport sys\nimport typing\n\nfrom pyinstrument.profiler import AsyncMode, Profiler\nfrom pyinstrument.renderers.base import Renderer\nfrom pyinstrument.renderers.console import ConsoleRenderer\nfrom pyinstrument.typing import Unpack\nfrom pyinstrument.util import file_supports_color, file_supports_unicode\n\nCallableVar = typing.TypeVar(\"CallableVar\", bound=typing.Callable)\n\n\nclass ProfileContextOptions(typing.TypedDict, total=False):\n interval: float\n async_mode: AsyncMode\n use_timing_thread: bool | None\n renderer: Renderer | None\n target_description: str | None\n\n\nclass ProfileContext:\n options: ProfileContextOptions\n\n def __init__(\n self,\n **kwargs: Unpack[ProfileContextOptions],\n ):\n profiler_options = {\n \"interval\": kwargs.get(\"interval\", 0.001),\n # note- different async mode from the default, because it's easy\n # to run multiple profilers at once using the decorator/context\n # manager\n \"async_mode\": kwargs.get(\"async_mode\", \"disabled\"),\n \"use_timing_thread\": kwargs.get(\"use_timing_thread\", None),\n }\n self.profiler = Profiler(**profiler_options)\n self.options = kwargs\n\n @typing.overload\n def __call__(self, func: CallableVar, /) -> CallableVar: ...\n @typing.overload\n def __call__(self, /, **kwargs: Unpack[ProfileContextOptions]) -> \"ProfileContext\": ...\n def __call__(\n self, func: typing.Callable | None = None, /, **kwargs: Unpack[ProfileContextOptions]\n ):\n if func is not None:\n\n @functools.wraps(func)\n def wrapper(*args, **kwargs):\n target_description = self.options.get(\"target_description\")\n if target_description is None:\n target_description = f\"Function {func.__qualname__} at {func.__code__.co_filename}:{func.__code__.co_firstlineno}\"\n\n with self(target_description=target_description):\n return func(*args, **kwargs)\n\n return typing.cast(typing.Callable, wrapper)\n else:\n return ProfileContext(**{**self.options, **kwargs})\n\n def __enter__(self):\n if self.profiler.is_running:\n raise RuntimeError(\n \"This profiler is already running - did you forget the brackets on pyinstrument.profile() ?\"\n )\n\n caller_frame = inspect.currentframe().f_back # type: ignore\n assert caller_frame is not None\n target_description = self.options.get(\"target_description\")\n if target_description is None:\n target_description = \"Block at {}:{}\".format(\n caller_frame.f_code.co_filename, caller_frame.f_lineno\n )\n\n self.profiler.start(\n caller_frame=caller_frame,\n target_description=target_description,\n )\n\n def __exit__(self, exc_type, exc_value, traceback):\n session = self.profiler.stop()\n\n renderer = self.options.get(\"renderer\")\n f = sys.stderr\n\n if renderer is None:\n renderer = ConsoleRenderer(\n color=file_supports_color(f),\n unicode=file_supports_unicode(f),\n short_mode=True,\n )\n\n f.write(renderer.render(session))\n\n\nclass _Profile:\n @typing.overload\n def __call__(self, func: CallableVar, /) -> CallableVar: ...\n @typing.overload\n def __call__(self, /, **kwargs: Unpack[ProfileContextOptions]) -> \"ProfileContext\": ...\n def __call__(\n self, func: typing.Callable | None = None, /, **kwargs: Unpack[ProfileContextOptions]\n ):\n if func is not None:\n return ProfileContext(**kwargs)(func)\n else:\n return ProfileContext(**kwargs)\n\n\nprofile = _Profile()\n" }, { "path": "pyinstrument/frame.py", "content": "from __future__ import annotations\n\nimport json\nimport math\nimport typing\nimport uuid\nfrom typing import Callable, Sequence\n\nfrom pyinstrument.frame_info import (\n ATTRIBUTE_MARKER_CLASS_NAME,\n ATTRIBUTE_MARKER_TRACEBACKHIDE,\n frame_info_get_identifier,\n parse_frame_info,\n)\n\n# pyright: strict\n\n\n# the 'synthetic' frames these identifiers represent don't reflect real Python\n# frames\nAWAIT_FRAME_IDENTIFIER = \"[await]\"\nSELF_TIME_FRAME_IDENTIFIER = \"[self]\"\nOUT_OF_CONTEXT_FRAME_IDENTIFIER = \"[out-of-context]\"\nDUMMY_ROOT_FRAME_IDENTIFIER = \"[root]\"\n\nSYNTHETIC_FRAME_IDENTIFIERS = frozenset(\n [\n AWAIT_FRAME_IDENTIFIER,\n SELF_TIME_FRAME_IDENTIFIER,\n OUT_OF_CONTEXT_FRAME_IDENTIFIER,\n DUMMY_ROOT_FRAME_IDENTIFIER,\n ]\n)\n\n# these identifiers can have no children - correspondingly, they can have time\n# that is not the sum of their children's time\nSYNTHETIC_LEAF_IDENTIFIERS = frozenset(\n [\n AWAIT_FRAME_IDENTIFIER,\n SELF_TIME_FRAME_IDENTIFIER,\n OUT_OF_CONTEXT_FRAME_IDENTIFIER,\n ]\n)\n\n\nclass FrameContext(typing.Protocol):\n def shorten_path(self, path: str) -> str: ...\n @property\n def sys_prefixes(self) -> Sequence[str]: ...\n\n\nclass Frame:\n \"\"\"\n Object that represents a stack frame in the parsed tree\n \"\"\"\n\n parent: Frame | None\n group: FrameGroup | None\n time: float\n\n # the session this frame belongs to\n _context: FrameContext | None\n\n # tracks the time from frames that were deleted during processing\n absorbed_time: float\n\n attributes: dict[str, float]\n\n def __init__(\n self,\n identifier_or_frame_info: str = \"\",\n children: Sequence[Frame] | None = None,\n time: float = 0,\n context: FrameContext | None = None,\n ):\n identifier = frame_info_get_identifier(identifier_or_frame_info)\n self.identifier = identifier\n self.parent = None\n self.time = 0.0\n self.group = None\n self.absorbed_time = 0.0\n self._context = context\n\n self._identifier_parts = identifier.split(\"\\x00\")\n self.attributes = {}\n self._children = []\n\n self.record_time_from_frame_info(frame_info=identifier_or_frame_info, time=time)\n\n if children:\n for child in children:\n self.add_child(child)\n\n def record_time_from_frame_info(self, frame_info: str, time: float):\n self.time += time\n\n _, attributes_list = parse_frame_info(frame_info)\n\n for attribute in attributes_list:\n try:\n self.attributes[attribute] += time\n except KeyError:\n self.attributes[attribute] = time\n\n def remove_from_parent(self):\n \"\"\"\n Removes this frame from its parent, and nulls the parent link\n \"\"\"\n if self.parent:\n self.parent._children.remove(self)\n self.parent = None\n\n @property\n def context(self):\n if not self._context:\n raise RuntimeError(\"Frame has no context\")\n return self._context\n\n def set_context(self, context: FrameContext | None):\n self._context = context\n for child in self._children:\n child.set_context(context)\n\n @staticmethod\n def new_subclass_with_frame_info(frame_info: str) -> Frame:\n # TODO remove me\n return Frame(identifier_or_frame_info=frame_info)\n\n @property\n def proportion_of_parent(self) -> float:\n if self.parent:\n try:\n return self.time / self.parent.time\n except ZeroDivisionError:\n return float(\"nan\")\n else:\n return 1.0\n\n @property\n def total_self_time(self) -> float:\n \"\"\"\n The total amount of self time in this frame (including self time recorded by SelfTimeFrame\n children, and await time from AwaitTimeFrame children)\n \"\"\"\n\n # self time is time in this frame, minus time in children\n self_time = self.time\n real_children = [c for c in self.children if not c.is_synthetic]\n\n for child in real_children:\n self_time -= child.time\n\n return self_time\n\n @property\n def function(self) -> str:\n return self._identifier_parts[0]\n\n @property\n def file_path(self) -> str | None:\n if len(self._identifier_parts) > 1:\n return self._identifier_parts[1]\n\n @property\n def line_no(self) -> int | None:\n if len(self._identifier_parts) > 2:\n return int(self._identifier_parts[2])\n\n @property\n def file_path_short(self) -> str | None:\n \"\"\"Return the path resolved against the closest entry in sys.path\"\"\"\n if self.is_synthetic and self.parent:\n return self.parent.file_path_short\n\n if not self.file_path:\n return None\n\n return self.context.shorten_path(self.file_path)\n\n @property\n def is_application_code(self) -> bool:\n if self.is_synthetic:\n return False\n\n file_path = self.file_path\n\n if not file_path:\n return False\n\n if any(file_path.startswith(p) for p in self.context.sys_prefixes):\n # lives in python install dir or virtualenv\n return False\n\n if file_path.startswith(\"<\"):\n if file_path.startswith(\"\" or file_path == \"\":\n # eval/exec is app code if started by a parent frame that is\n # app code\n if self.parent:\n return self.parent.is_application_code\n else:\n # if this is the root frame, it must have been started\n # with -c, so it's app code\n return True\n else:\n # otherwise, this is probably some library-internal code gen\n return False\n\n return True\n\n def code_position_short(self) -> str | None:\n file_path_short = self.file_path_short\n if file_path_short and self.line_no:\n return \"%s:%i\" % (file_path_short, self.line_no)\n return file_path_short\n\n _children: list[Frame]\n attributes: dict[str, float]\n\n def add_child(self, frame: Frame, after: Frame | None = None):\n \"\"\"\n Adds a child frame, updating the parent link.\n Optionally, insert the frame in a specific position by passing the frame to insert\n this one after.\n \"\"\"\n\n if self.identifier in SYNTHETIC_LEAF_IDENTIFIERS:\n raise ValueError(\"Cannot add children to a leaf-only frame\")\n\n frame.remove_from_parent()\n frame.parent = self\n frame.set_context(self._context)\n if after is None:\n self._children.append(frame)\n else:\n index = self._children.index(after) + 1\n self._children.insert(index, frame)\n\n def add_children(self, frames: Sequence[Frame], after: Frame | None = None):\n \"\"\"\n Convenience method to add multiple frames at once.\n \"\"\"\n if after is not None:\n # if there's an 'after' parameter, add the frames in reverse so the order is\n # preserved.\n for frame in reversed(frames):\n self.add_child(frame, after=after)\n else:\n for frame in frames:\n self.add_child(frame)\n\n @property\n def is_synthetic(self) -> bool:\n return self.identifier in SYNTHETIC_FRAME_IDENTIFIERS\n\n @property\n def is_synthetic_leaf(self) -> bool:\n return self.identifier in SYNTHETIC_LEAF_IDENTIFIERS\n\n @property\n def children(self) -> Sequence[Frame]:\n # Return an immutable copy (this property should only be mutated using methods)\n # Also, returning a copy avoid problems when mutating while iterating, which happens a lot\n # in processors!\n return tuple(self._children)\n\n def await_time(self) -> float:\n # i'd rather this was a property, but properties use twice as many stack frames\n await_time = 0\n\n if self.identifier == AWAIT_FRAME_IDENTIFIER:\n await_time += self.time\n\n for child in self.children:\n await_time += child.await_time()\n\n return await_time\n\n def get_attribute_value(self, attribute_marker: str) -> str | None:\n \"\"\"\n Returns the value of the attribute. If multiple values are present,\n the most commonly observed one is returned.\n \"\"\"\n # Attributes are recorded as a dict, with the key representing an\n # observation, and the value representing the duration that it was\n # observed. the first character of the observation is the 'marker' -\n # the type of the attribute, the rest is data.\n matching_attributes = [\n a_tuple\n for a_tuple in self.attributes.items()\n if a_tuple[0].startswith(attribute_marker)\n ]\n\n if len(matching_attributes) == 0:\n return None\n\n top_attribute, _ = max(matching_attributes, key=lambda a: a[1])\n\n # strip off the marker, return the data\n return top_attribute[1:]\n\n @property\n def class_name(self) -> str | None:\n return self.get_attribute_value(ATTRIBUTE_MARKER_CLASS_NAME)\n\n @property\n def has_tracebackhide(self) -> bool:\n \"\"\"\n Returns whether this frame has a `__tracebackhide__` variable.\n \"\"\"\n return self.get_attribute_value(ATTRIBUTE_MARKER_TRACEBACKHIDE) == \"1\"\n\n def self_check(self, recursive: bool = True) -> None:\n \"\"\"\n Checks that the frame is valid.\n \"\"\"\n if self.identifier in SYNTHETIC_LEAF_IDENTIFIERS:\n assert len(self._children) == 0\n # leaf frames have time that isn't attributable to their\n # children, so we don't check that.\n return\n\n calculated_time = sum(child.time for child in self.children) + self.absorbed_time\n assert math.isclose(\n calculated_time, self.time\n ), f\"Frame time mismatch, should be {calculated_time}, was {self.time}, {self.children}\"\n\n if recursive:\n for child in self.children:\n child.self_check(recursive=True)\n\n def __repr__(self):\n return \"Frame(identifier=%s, time=%f, len(children)=%d), group=%r\" % (\n self.identifier,\n self.time,\n len(self.children),\n self.group,\n )\n\n def to_json_str(self):\n # method that converts this object into a JSON string. Uses an inline\n # technique because the json module uses 2x stack frames, so we'd get\n # a RecursionError on deep stacks.\n encode_str = typing.cast(Callable[[str], str], json.encoder.encode_basestring) # type: ignore\n\n property_decls: list[str] = []\n property_decls.append('\"identifier\": %s' % encode_str(self.identifier))\n property_decls.append('\"time\": %f' % self.time)\n property_decls.append('\"attributes\": %s' % json.dumps(self.attributes))\n child_jsons: list[str] = []\n for child in self.children:\n child_jsons.append(child.to_json_str())\n property_decls.append('\"children\": [%s]' % \",\".join(child_jsons))\n\n return \"{%s}\" % \",\".join(property_decls)\n\n\nclass FrameGroup:\n _frames: list[Frame]\n _exit_frames: list[Frame] | None\n\n def __init__(self, root: Frame):\n self.root = root\n self.id = str(uuid.uuid4())\n self._frames = []\n self._exit_frames = None\n\n self.add_frame(root)\n\n @property\n def frames(self) -> Sequence[Frame]:\n return tuple(self._frames)\n\n def add_frame(self, frame: Frame):\n if frame.group:\n frame.group.remove_frame(frame)\n\n self._frames.append(frame)\n frame.group = self\n\n def remove_frame(self, frame: Frame):\n assert frame.group is self\n self._frames.remove(frame)\n frame.group = None\n\n @property\n def exit_frames(self):\n \"\"\"\n Returns a list of frames whose children include a frame outside of the group\n \"\"\"\n if self._exit_frames is None:\n exit_frames: list[Frame] = []\n for frame in self.frames:\n if any(c.group != self for c in frame.children):\n exit_frames.append(frame)\n self._exit_frames = exit_frames\n\n return self._exit_frames\n\n def __repr__(self):\n return \"FrameGroup(len(frames)=%d)\" % len(self.frames)\n" }, { "path": "pyinstrument/frame_info.py", "content": "from typing import List, Tuple\n\n# pyright: strict\n\n\nIDENTIFIER_SEP = \"\\x00\"\nATTRIBUTES_SEP = \"\\x01\"\n\nATTRIBUTE_MARKER_CLASS_NAME = \"c\"\nATTRIBUTE_MARKER_LINE_NUMBER = \"l\"\nATTRIBUTE_MARKER_TRACEBACKHIDE = \"h\"\n\n\ndef parse_frame_info(frame_info: str) -> Tuple[str, List[str]]:\n \"\"\"\n Parses a frame_info string, returns a tuple of (identifier, attributes),\n where `identifier` is a unique identifier for this code (e.g. a function\n or method), and `attributes` is a list of invocation-specific attributes\n that were captured at profile-time.\n \"\"\"\n\n identifier, _, attributes_str = frame_info.partition(ATTRIBUTES_SEP)\n\n if not attributes_str:\n return identifier, []\n\n return identifier, attributes_str.split(ATTRIBUTES_SEP)\n\n\ndef frame_info_get_identifier(frame_info: str) -> str:\n \"\"\"\n Equivalent to `parse_frame_info(frame_info)[0]`, but faster.\n \"\"\"\n index = frame_info.find(ATTRIBUTES_SEP)\n\n if index == -1:\n # no attributes\n return frame_info\n\n return frame_info[0:index]\n" }, { "path": "pyinstrument/frame_ops.py", "content": "from __future__ import annotations\n\nfrom typing import List, Sequence, Tuple\n\nfrom pyinstrument.frame import (\n DUMMY_ROOT_FRAME_IDENTIFIER,\n SELF_TIME_FRAME_IDENTIFIER,\n Frame,\n FrameContext,\n)\nfrom pyinstrument.frame_info import frame_info_get_identifier\nfrom pyinstrument.typing import LiteralStr, assert_never\n\n# pyright: strict\n\n\nFrameRecordType = Tuple[List[str], float]\n\n\nclass IdentifierDoesntMatchException(ValueError):\n pass\n\n\ndef build_frame_tree(\n frame_records: Sequence[FrameRecordType], context: FrameContext\n) -> Frame | None:\n if len(frame_records) == 0:\n return None\n\n root_frame = Frame(identifier_or_frame_info=DUMMY_ROOT_FRAME_IDENTIFIER, context=context)\n\n # put the root frame at the bottom of the stack\n frame_stack: list[Frame] = [root_frame]\n\n for frame_info_stack, time in frame_records:\n stack_depth = 0\n root_frame.record_time_from_frame_info(DUMMY_ROOT_FRAME_IDENTIFIER, time)\n\n for stack_depth, frame_info in enumerate(frame_info_stack, start=1):\n frame_identifier = frame_info_get_identifier(frame_info)\n try:\n frame = frame_stack[stack_depth]\n if frame.identifier != frame_identifier:\n # trim any frames after and including this one, and make a new frame\n del frame_stack[stack_depth:]\n raise IdentifierDoesntMatchException()\n except (IndexError, IdentifierDoesntMatchException):\n # create a new frame\n parent = frame_stack[stack_depth - 1]\n frame = Frame(identifier_or_frame_info=frame_info)\n parent.add_child(frame)\n\n assert len(frame_stack) == stack_depth\n frame_stack.append(frame)\n\n frame.record_time_from_frame_info(frame_info=frame_info, time=time)\n\n # trim any extra frames\n del frame_stack[stack_depth + 1 :]\n\n final_frame = frame_stack[-1]\n\n if not final_frame.is_synthetic_leaf:\n # record the self-time\n final_frame.add_child(\n Frame(identifier_or_frame_info=SELF_TIME_FRAME_IDENTIFIER, time=time)\n )\n\n if len(root_frame.children) == 1:\n root_frame = root_frame.children[0]\n root_frame.remove_from_parent()\n\n return root_frame\n\n\ndef delete_frame_from_tree(\n frame: Frame, replace_with: LiteralStr[\"children\", \"self_time\", \"nothing\"]\n):\n \"\"\"\n Delete a frame from the tree.\n\n :param frame: the frame to delete\n :param replace_with: what to replace the frame with - `children` replaces\n the frame with its children, `self_time` replaces the frame with a\n self-time frame, and `nothing` deletes the frame, absorbing the time\n into the parent.\n \"\"\"\n parent = frame.parent\n if parent is None:\n raise ValueError(\"Cannot delete the root frame\")\n\n if replace_with == \"children\":\n parent.add_children(frame.children, after=frame)\n elif replace_with == \"self_time\":\n parent.add_child(\n Frame(identifier_or_frame_info=SELF_TIME_FRAME_IDENTIFIER, time=frame.time),\n after=frame,\n )\n elif replace_with == \"nothing\":\n parent.absorbed_time += frame.time\n else:\n assert_never(replace_with)\n\n parent.absorbed_time += frame.absorbed_time\n\n frame.remove_from_parent()\n # in this call, recursive is true, even when replace_with is 'children'.\n # When replace_with is 'self_time' or 'nothing', that's what we want. But\n # when it's 'children', by now, the children have been removed and added\n # to the parent, so recursive is irrelevant.\n remove_frame_from_groups(frame, recursive=True)\n\n\ndef combine_frames(frame: Frame, into: Frame):\n \"\"\"\n Combine two frames into one. The frames must have the same parent.\n\n :param frame: the frame to remove\n :param into: the frame to combine into\n \"\"\"\n assert frame.parent is into.parent\n\n into.absorbed_time += frame.absorbed_time\n into.time += frame.time\n\n for attribute, time in frame.attributes.items():\n try:\n into.attributes[attribute] += time\n except KeyError:\n into.attributes[attribute] = time\n\n into.add_children(frame.children)\n frame.remove_from_parent()\n remove_frame_from_groups(frame, recursive=False)\n\n\ndef remove_frame_from_groups(frame: Frame, recursive: bool):\n \"\"\"\n Removes frame from any groups that it is a member of. Should be used when\n removing a frame from a tree, so groups don't keep references to removed\n frames.\n \"\"\"\n if recursive and frame.children:\n for child in frame.children:\n remove_frame_from_groups(child, recursive=True)\n\n if frame.group:\n group = frame.group\n group.remove_frame(frame)\n\n if len(group.frames) == 1:\n # a group with only one frame is meaningless, we'll remove it\n # entirely.\n group.remove_frame(group.frames[0])\n" }, { "path": "pyinstrument/low_level/pyi_floatclock.c", "content": "#include \"pyi_floatclock.h\"\n\n#include \n#include // gettimeofday, clock()\n#include // DBL_MAX\n\n\n/*\nThe windows implementations mostly stolen from timemodule.c\n*/\n\n#if defined(MS_WINDOWS) && !defined(__BORLANDC__)\n#include \n\ndouble pyi_monotonic_coarse_resolution(void)\n{\n return DBL_MAX;\n}\n\n/* use QueryPerformanceCounter on Windows */\n\ndouble pyi_floatclock(PYIFloatClockType timer)\n{\n if (timer == PYI_FLOATCLOCK_MONOTONIC_COARSE) {\n warn_once(\"CLOCK_MONOTONIC_COARSE not available on this system.\");\n }\n static LARGE_INTEGER ctrStart;\n static double divisor = 0.0;\n LARGE_INTEGER now;\n double diff;\n\n if (divisor == 0.0) {\n LARGE_INTEGER freq;\n QueryPerformanceCounter(&ctrStart);\n if (!QueryPerformanceFrequency(&freq) || freq.QuadPart == 0) {\n /* Unlikely to happen - this works on all intel\n machines at least! Revert to clock() */\n return ((double)clock()) / CLOCKS_PER_SEC;\n }\n divisor = (double)freq.QuadPart;\n }\n QueryPerformanceCounter(&now);\n diff = (double)(now.QuadPart - ctrStart.QuadPart);\n return diff / divisor;\n}\n\n#else /* !MS_WINDOWS */\n\n#include \n#include // clock_gettime\n\nstatic double SEC_PER_NSEC = 1e-9;\nstatic double SEC_PER_USEC = 1e-6;\n\ndouble pyi_monotonic_coarse_resolution(void)\n{\n#ifdef CLOCK_MONOTONIC_COARSE\n static double resolution = -1;\n if (resolution == -1) {\n struct timespec res;\n int success = clock_getres(CLOCK_MONOTONIC_COARSE, &res);\n if (success == 0) {\n resolution = res.tv_sec + res.tv_nsec * SEC_PER_NSEC;\n } else {\n // clock_getres failed, so let's set the resolution to something\n // so this timer is never used.\n resolution = DBL_MAX;\n }\n }\n return resolution;\n#else\n return DBL_MAX;\n#endif\n}\n\ndouble pyi_floatclock(PYIFloatClockType timer)\n{\n // gets the current time in seconds, as quickly as possible.\n#ifdef _POSIX_TIMERS\n struct timespec t;\n int res;\n if (timer == PYI_FLOATCLOCK_MONOTONIC_COARSE) {\n# ifdef CLOCK_MONOTONIC_COARSE\n res = clock_gettime(CLOCK_MONOTONIC_COARSE, &t);\n if (res == 0) return t.tv_sec + t.tv_nsec * SEC_PER_NSEC;\n# else\n warn_once(\"CLOCK_MONOTONIC_COARSE not available on this system.\");\n# endif\n }\n# ifdef CLOCK_MONOTONIC\n res = clock_gettime(CLOCK_MONOTONIC, &t);\n if (res == 0) return t.tv_sec + t.tv_nsec * SEC_PER_NSEC;\n# endif\n res = clock_gettime(CLOCK_REALTIME, &t);\n if (res == 0) return t.tv_sec + t.tv_nsec * SEC_PER_NSEC;\n#endif\n struct timeval tv;\n gettimeofday(&tv, (struct timezone *)NULL);\n return (double)tv.tv_sec + tv.tv_usec * SEC_PER_USEC;\n}\n\n#endif /* MS_WINDOWS */\n" }, { "path": "pyinstrument/low_level/pyi_floatclock.h", "content": "#ifndef PYI_FLOATCLOCK_H\n#define PYI_FLOATCLOCK_H\n\n#include \n#include \"pyi_shared.h\"\n\ntypedef enum {\n PYI_FLOATCLOCK_DEFAULT = 0,\n PYI_FLOATCLOCK_MONOTONIC_COARSE = 1,\n} PYIFloatClockType;\n\nPy_EXPORTED_SYMBOL double pyi_monotonic_coarse_resolution(void);\nPy_EXPORTED_SYMBOL double pyi_floatclock(PYIFloatClockType timer);\n\n#endif\n" }, { "path": "pyinstrument/low_level/pyi_shared.h", "content": "#ifndef PYI_SHARED_H\n#define PYI_SHARED_H\n\n#include \n#include \n\n#ifndef __has_attribute\n# define __has_attribute(x) 0 // Compatibility with non-clang compilers.\n#endif\n\n// Define Py_EXPORTED_SYMBOL to be the appropriate symbol for exporting, it's not set in Python 3.8.\n#ifndef Py_EXPORTED_SYMBOL\n# if defined(_WIN32) || defined(__CYGWIN__)\n# define Py_EXPORTED_SYMBOL __declspec(dllexport)\n# elif (defined(__GNUC__) && (__GNUC__ >= 4)) ||\\\n (defined(__clang__) && __has_attribute(visibility))\n# define Py_EXPORTED_SYMBOL __attribute__ ((visibility (\"default\")))\n# else\n# define Py_EXPORTED_SYMBOL\n# endif\n#endif\n\n#define warn_once(msg) \\\n do { \\\n static int warned = 0; \\\n if (!warned) { \\\n fprintf(stderr, \"pyinstrument: %s\\n\", msg); \\\n warned = 1; \\\n } \\\n } while (0)\n\n#endif /* PYI_SHARED_H */\n" }, { "path": "pyinstrument/low_level/pyi_timing_thread.c", "content": "#include \"pyi_timing_thread.h\"\n\n#include \n#include \n#include \n\n#include \"pyi_floatclock.h\"\n\nstatic volatile double current_time = 0.0;\n\nstatic PyThread_type_lock subscriber_lock = NULL;\nstatic PyThread_type_lock update_lock = NULL;\nstatic int thread_should_exit = 0;\nstatic int thread_alive = 0;\n\n// Structure to hold subscriptions\ntypedef struct Subscription {\n double interval;\n int id;\n} Subscription;\n\n#define MAX_SUBSCRIBERS 1000\nstatic Subscription subscribers[MAX_SUBSCRIBERS];\nstatic int subscriber_count = 0;\n\nstatic double get_interval(double max_interval) {\n double min_interval = max_interval;\n\n for (int i = 0; i < subscriber_count; i++) {\n if (subscribers[i].interval < min_interval) {\n min_interval = subscribers[i].interval;\n }\n }\n\n return min_interval;\n}\n\nstatic void timing_thread(void* args) {\n while (!thread_should_exit) {\n double interval = get_interval(1.0);\n // sleep for the interval, or until we're woken up by a change\n PyLockStatus status = PyThread_acquire_lock_timed(\n update_lock,\n (PY_TIMEOUT_T)(interval * 1e6),\n 0\n );\n if (status == PY_LOCK_ACQUIRED) {\n // rather than finishing the wait, another thread signaled a\n // change by releasing the lock. The lock was just for the sake of\n // the wakeup, so let's release it again.\n PyThread_release_lock(update_lock);\n }\n current_time = pyi_floatclock(PYI_FLOATCLOCK_DEFAULT);\n }\n}\n\nint pyi_timing_thread_subscribe(double desiredInterval) {\n if (subscriber_lock == NULL) {\n subscriber_lock = PyThread_allocate_lock();\n }\n if (update_lock == NULL) {\n update_lock = PyThread_allocate_lock();\n }\n\n PyThread_acquire_lock(subscriber_lock, WAIT_LOCK);\n\n if (!thread_alive) {\n PyThread_acquire_lock(update_lock, WAIT_LOCK); // Initially hold the lock\n thread_should_exit = 0;\n PyThread_start_new_thread(timing_thread, NULL);\n thread_alive = 1;\n\n // initialise the current_time in case it's read immediately\n current_time = pyi_floatclock(PYI_FLOATCLOCK_DEFAULT);\n }\n\n int new_id = 0;\n\n // find an unused ID\n for (; new_id < MAX_SUBSCRIBERS; new_id++) {\n int already_exists = 0;\n for (int i = 0; i < subscriber_count; i++) {\n if (subscribers[i].id == new_id) {\n already_exists = 1;\n break;\n }\n }\n if (!already_exists) {\n break;\n }\n }\n if (new_id == MAX_SUBSCRIBERS) {\n // Too many subscribers\n PyThread_release_lock(subscriber_lock);\n return PYI_TIMING_THREAD_TOO_MANY_SUBSCRIBERS;\n }\n\n int index = subscriber_count;\n subscribers[index].id = new_id;\n subscribers[index].interval = desiredInterval;\n subscriber_count++;\n\n // signal a possible change in the interval\n PyThread_release_lock(update_lock);\n PyThread_acquire_lock(update_lock, WAIT_LOCK);\n\n PyThread_release_lock(subscriber_lock);\n return new_id;\n}\n\nint pyi_timing_thread_unsubscribe(int id) {\n PyThread_acquire_lock(subscriber_lock, WAIT_LOCK);\n\n int removals = 0;\n\n for (int i = 0; i < subscriber_count; i++) {\n if (subscribers[i].id == id) {\n // Removal: overwrite this one with with the last element and decrement count.\n subscribers[i] = subscribers[subscriber_count-1];\n subscriber_count--;\n removals++;\n break;\n }\n }\n\n // if the last subscriber was removed, stop the thread\n if (subscriber_count == 0) {\n thread_should_exit = 1;\n PyThread_release_lock(update_lock);\n thread_alive = 0;\n }\n\n PyThread_release_lock(subscriber_lock);\n\n if (removals == 0) {\n return PYI_TIMING_THREAD_NOT_SUBSCRIBED;\n } else {\n return 0;\n }\n}\n\ndouble pyi_timing_thread_get_time(void) {\n return current_time;\n}\n\ndouble pyi_timing_thread_get_interval(void) {\n if (thread_alive) {\n return get_interval(DBL_MAX);\n } else {\n return -1.0;\n }\n}\n" }, { "path": "pyinstrument/low_level/pyi_timing_thread.h", "content": "#ifndef PYI_TIMINGTHREAD_H\n#define PYI_TIMINGTHREAD_H\n\n#include \n#include \"pyi_shared.h\"\n\n/**\n * Adds a subscription to the timing thread, requesting that it updates the\n * time every `desired_interval` seconds. Returns an ID that can be used to\n * unsubscribe later, or a negative value indicating error.\n */\n\nPy_EXPORTED_SYMBOL int pyi_timing_thread_subscribe(double desired_interval);\n\n/**\n * Returns the current time, as updated by the timing thread.\n */\nPy_EXPORTED_SYMBOL double pyi_timing_thread_get_time(void);\n\n/**\n * Returns the current interval, or -1 if the thread is not running.\n */\nPy_EXPORTED_SYMBOL double pyi_timing_thread_get_interval(void);\n\n/**\n * Unsubscribes from the timing thread. Returns 0 on success, or a negative\n * value indicating error.\n */\nPy_EXPORTED_SYMBOL int pyi_timing_thread_unsubscribe(int id);\n\n#define PYI_TIMING_THREAD_UNKNOWN_ERROR -1\n#define PYI_TIMING_THREAD_TOO_MANY_SUBSCRIBERS -2\n#define PYI_TIMING_THREAD_NOT_SUBSCRIBED -3\n\n#endif /* PYI_TIMINGTHREAD_H */\n" }, { "path": "pyinstrument/low_level/pyi_timing_thread_python.py", "content": "import threading\nimport time\n\ncurrent_time = 0.0\n\nsubscriber_lock = threading.Lock()\nupdate_lock = threading.Lock()\nthread_should_exit = False\nthread_alive = False\n\n\nclass Subscription:\n def __init__(self, interval: float, id: int):\n self.interval = interval\n self.id = id\n\n\nsubscribers = []\n\n\ndef get_interval(max_interval: float):\n if subscribers:\n return min(sub.interval for sub in subscribers)\n return max_interval\n\n\ndef timing_thread():\n global current_time, thread_should_exit\n\n while not thread_should_exit:\n interval = get_interval(1.0)\n acquired = update_lock.acquire(timeout=interval)\n if acquired:\n update_lock.release()\n current_time = time.perf_counter()\n\n\ndef pyi_timing_thread_subscribe(desired_interval: float):\n global thread_alive, thread_should_exit, current_time\n\n with subscriber_lock:\n if not thread_alive:\n update_lock.acquire()\n thread_should_exit = False\n threading.Thread(target=timing_thread).start()\n thread_alive = True\n current_time = time.perf_counter()\n\n ids = [sub.id for sub in subscribers]\n new_id = 0\n while new_id in ids:\n new_id += 1\n\n subscribers.append(Subscription(desired_interval, new_id))\n\n update_lock.release()\n update_lock.acquire()\n\n return new_id\n\n\ndef pyi_timing_thread_unsubscribe(id: int):\n with subscriber_lock:\n subscriber_to_remove = next((sub for sub in subscribers if sub.id == id), None)\n\n if subscriber_to_remove:\n subscribers.remove(subscriber_to_remove)\n\n if not subscribers:\n global thread_should_exit, thread_alive\n thread_should_exit = True\n update_lock.release()\n thread_alive = False\n return 0\n else:\n raise Exception(\"PYI_TIMING_THREAD_NOT_SUBSCRIBED\")\n\n\ndef pyi_timing_thread_get_time() -> float:\n return current_time\n\n\ndef pyi_timing_thread_get_interval() -> float:\n return get_interval(float(\"inf\")) if thread_alive else -1.0\n" }, { "path": "pyinstrument/low_level/stat_profile.c", "content": "#include \n#include \n#include \n\n#include \"pyi_floatclock.h\"\n#include \"pyi_timing_thread.h\"\n#include \n\n////////////////////////////\n// Version/Platform shims //\n////////////////////////////\n\n/* Python 2 shim */\n#if PY_MAJOR_VERSION < 3\n\n#define PyUnicode_InternFromString PyString_InternFromString\n\n#endif\n\n#if PY_VERSION_HEX >= 0x030b0000 // Python 3.11.0\n#define PyFrame_GETBACK(f) PyFrame_GetBack(f)\n#else\nstatic PyFrameObject *\n_PyFrame_GetBack(PyFrameObject *frame) {\n Py_XINCREF(frame->f_back);\n return frame->f_back;\n}\n#define PyFrame_GETBACK(f) _PyFrame_GetBack(f)\n#endif\n\n///////////////////\n// ProfilerState //\n///////////////////\n\ntypedef struct profiler_state {\n PyObject_HEAD\n PyObject *target;\n double interval;\n double last_invocation;\n PyObject *context_var;\n PyObject *last_context_var_value;\n PyObject *await_stack_list;\n PyObject *timer_func;\n int timer_thread_subscription_id;\n PYIFloatClockType floatclock_type;\n} ProfilerState;\n\nstatic void ProfilerState_SetTarget(ProfilerState *self, PyObject *target) {\n PyObject *tmp = self->target;\n Py_XINCREF(target);\n self->target = target;\n Py_XDECREF(tmp);\n}\n\n/**\n * Updates last_context_var_value.\n *\n * Returns true on success, sets an exception and returns false on failure.\n * */\nstatic int ProfilerState_UpdateContextVar(ProfilerState *self) {\n PyObject *old = self->last_context_var_value;\n PyObject *new = NULL;\n int status = PyContextVar_Get(self->context_var, NULL, &new);\n if (status == -1) {\n PyErr_SetString(PyExc_Exception, \"failed to get value of the context var\");\n return 0;\n }\n\n if (old == new) {\n // The object is the same, so we don't need the new reference.\n Py_DECREF(new);\n return 1;\n }\n\n self->last_context_var_value = new;\n\n Py_XDECREF(old);\n\n return 1;\n}\n\n/**\n * Returns the current time for this profiler. On error, returns -1.0.\n */\nstatic double ProfilerState_GetTime(ProfilerState *self) {\n if (self->timer_func != NULL) {\n // when a self->timer_func is set, call that.\n#if PY_VERSION_HEX >= 0x03090000\n PyObject *result = PyObject_CallNoArgs(self->timer_func);\n#else\n PyObject *result = PyObject_CallObject(self->timer_func, NULL);\n#endif\n if (result == NULL) {\n return -1.0;\n }\n\n if (!PyFloat_Check(result)) {\n PyErr_SetString(PyExc_RuntimeError, \"custom time function must return a float\");\n return -1.0;\n }\n\n double resultDouble = PyFloat_AsDouble(result);\n\n Py_DECREF(result);\n return resultDouble;\n } else if (self->timer_thread_subscription_id >= 0) {\n // when a self->timer_thread_subscription_id is set, use the timing thread.\n return pyi_timing_thread_get_time();\n } else {\n // otherwise as normal, call the synchronous C timer function.\n return pyi_floatclock(self->floatclock_type);\n }\n}\n\nstatic void ProfilerState_Dealloc(ProfilerState *self) {\n ProfilerState_SetTarget(self, NULL);\n Py_XDECREF(self->context_var);\n Py_XDECREF(self->last_context_var_value);\n Py_XDECREF(self->await_stack_list);\n Py_XDECREF(self->timer_func);\n if (self->timer_thread_subscription_id >= 0) {\n pyi_timing_thread_unsubscribe(self->timer_thread_subscription_id);\n }\n Py_TYPE(self)->tp_free(self);\n}\n\nstatic PyTypeObject ProfilerState_Type = {\n PyVarObject_HEAD_INIT(NULL, 0)\n \"pyinstrument.stat_profile.ProfilerState\", /* tp_name */\n sizeof(ProfilerState), /* tp_basicsize */\n 0, /* tp_itemsize */\n (destructor)ProfilerState_Dealloc, /* tp_dealloc */\n 0, /* tp_print */\n 0, /* tp_getattr */\n 0, /* tp_setattr */\n 0, /* tp_reserved */\n 0, /* tp_repr */\n 0, /* tp_as_number */\n 0, /* tp_as_sequence */\n 0, /* tp_as_mapping */\n 0, /* tp_hash */\n 0, /* tp_call */\n 0, /* tp_str */\n 0, /* tp_getattro */\n 0, /* tp_setattro */\n 0, /* tp_as_buffer */\n Py_TPFLAGS_DEFAULT | Py_TPFLAGS_BASETYPE, /* tp_flags */\n 0, /* tp_doc */\n 0, /* tp_traverse */\n 0, /* tp_clear */\n 0, /* tp_richcompare */\n 0, /* tp_weaklistoffset */\n 0, /* tp_iter */\n 0, /* tp_iternext */\n 0, /* tp_methods */\n 0, /* tp_members */\n 0, /* tp_getset */\n 0, /* tp_base */\n 0, /* tp_dict */\n 0, /* tp_descr_get */\n 0, /* tp_descr_set */\n 0, /* tp_dictoffset */\n 0, /* tp_init */\n PyType_GenericAlloc, /* tp_alloc */\n PyType_GenericNew, /* tp_new */\n PyObject_Del, /* tp_free */\n};\n\nstatic ProfilerState *ProfilerState_New(void) {\n ProfilerState *op = PyObject_New(ProfilerState, &ProfilerState_Type);\n op->target = NULL;\n op->interval = 0.0;\n op->last_invocation = 0.0;\n op->context_var = NULL;\n op->last_context_var_value = NULL;\n op->await_stack_list = PyList_New(0);\n op->timer_func = NULL;\n op->timer_thread_subscription_id = -1;\n op->floatclock_type = PYI_FLOATCLOCK_DEFAULT;\n return op;\n}\n\n////////////////////////\n// Internal functions //\n////////////////////////\n\nstatic PyObject *whatstrings[8] = {NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL};\n\nstatic PyObject *SELF_STRING = NULL;\nstatic PyObject *CLS_STRING = NULL;\nstatic PyObject *TRACEBACKHIDE_STRING = NULL;\n\n#define TIMER_TYPE_WALLTIME 0\n#define TIMER_TYPE_WALLTIME_THREAD 1\n#define TIMER_TYPE_TIMER_FUNC 2\n#define TIMER_TYPE_WALLTIME_COARSE 3\n\n#define WHAT_CALL 0\n#define WHAT_EXCEPTION 1\n#define WHAT_LINE 2\n#define WHAT_RETURN 3\n#define WHAT_C_CALL 4\n#define WHAT_C_EXCEPTION 5\n#define WHAT_C_RETURN 6\n#define WHAT_CONTEXT_CHANGED 7\n\nstatic int\nstat_profile_init(void)\n{\n static char *whatnames[8] = {\"call\", \"exception\", \"line\", \"return\",\n \"c_call\", \"c_exception\", \"c_return\",\n \"context_changed\"};\n PyObject *name;\n int i;\n for (i = 0; i < 8; ++i) {\n if (whatstrings[i] == NULL) {\n name = PyUnicode_InternFromString(whatnames[i]);\n if (name == NULL)\n return -1;\n whatstrings[i] = name;\n }\n }\n\n SELF_STRING = PyUnicode_InternFromString(\"self\");\n if (SELF_STRING == NULL) return -1;\n\n CLS_STRING = PyUnicode_InternFromString(\"cls\");\n if (CLS_STRING == NULL) return -1;\n\n TRACEBACKHIDE_STRING = PyUnicode_InternFromString(\"__tracebackhide__\");\n if (TRACEBACKHIDE_STRING == NULL) return -1;\n\n return 0;\n}\n\nstatic PyObject *\ncall_target(ProfilerState *pState, PyFrameObject *frame, int what, PyObject *arg)\n{\n // note: we no longer call PyFrame_FastToLocals and PyFrame_LocalsToFast\n // here, as it's only needed for python-level modification of locals,\n // which a profiler doesn't need to do.\n\n#if PY_VERSION_HEX >= 0x03090000\n // vectorcall implementation could be faster, is available in Python 3.9\n PyObject *callargs[4] = { NULL, (PyObject *) frame, whatstrings[what], arg == NULL ? Py_None : arg };\n PyObject *result = PyObject_Vectorcall(pState->target, callargs + 1, 3 | PY_VECTORCALL_ARGUMENTS_OFFSET, NULL);\n#else\n PyObject *result = PyObject_CallFunctionObjArgs(pState->target, (PyObject *) frame, whatstrings[what], arg == NULL ? Py_None : arg, NULL);\n#endif\n\n if (result == NULL) {\n PyTraceBack_Here(frame);\n }\n\n return result;\n}\n\n/**\n * Returns a new reference to a PyCodeObject for the given frame.\n */\nstatic PyCodeObject *\ncode_from_frame(PyFrameObject* frame)\n{\n#if PY_VERSION_HEX >= 0x03090000\n return PyFrame_GetCode(frame);\n#else\n PyCodeObject *result = frame->f_code;\n Py_XINCREF(result);\n return result;\n#endif\n}\n\n/**\n * Returns a new reference to a PyTupleObject containing the names of the\n * local variables.\n */\nstatic PyObject *\nlocal_names_from_code(PyCodeObject *code)\n{\n#if PY_VERSION_HEX >= 0x030b0000\n return PyCode_GetVarnames(code);\n#else\n PyObject *result = code->co_varnames;\n Py_XINCREF(result);\n return result;\n#endif\n}\n\n#if PY_VERSION_HEX >= 0x030b0000 // Python 3.11.0\n/**\n * Returns a C-string containing the name of the class in the frame. The\n * memory belongs to the type object, so it should not be freed.\n */\nstatic const char *\n_get_class_name_of_frame(PyFrameObject *frame, PyCodeObject *code) {\n PyObject *localsNames = PyCode_GetVarnames(code);\n\n if (localsNames == NULL) {\n return NULL;\n }\n\n PyObject *firstArgName = PyTuple_GET_ITEM(localsNames, 0);\n\n if (firstArgName == NULL) {\n Py_DECREF(localsNames);\n return NULL;\n }\n\n int has_self = PyUnicode_Compare(firstArgName, SELF_STRING) == 0;\n int has_cls = PyUnicode_Compare(firstArgName, CLS_STRING) == 0;\n\n Py_DECREF(localsNames);\n\n if (!has_self && !has_cls) {\n // PyFrame_GetLocals is expensive and changes the frame, so we don't\n // want to call it unless we have to.\n return NULL;\n }\n\n const char *result = NULL;\n\n PyObject *locals = PyFrame_GetLocals(frame);\n\n if (!PyMapping_Check(locals)) {\n Py_DECREF(locals);\n return NULL;\n }\n\n // we still have to check the locals has the key, because it could have\n // been \"del'd\"\n if (has_self && PyMapping_HasKey(locals, SELF_STRING)) {\n PyObject *self = PyObject_GetItem(locals, SELF_STRING);\n\n if (!self) {\n PyErr_Clear();\n Py_DECREF(locals);\n return NULL;\n }\n\n result = _PyType_Name(self->ob_type);\n Py_DECREF(self);\n }\n else if (has_cls && PyMapping_HasKey(locals, CLS_STRING)) {\n PyObject *cls = PyObject_GetItem(locals, CLS_STRING);\n\n if (!cls) {\n PyErr_Clear();\n Py_DECREF(locals);\n return NULL;\n }\n\n if (PyType_Check(cls)) {\n PyTypeObject *type = (PyTypeObject *)cls;\n result = _PyType_Name(type);\n }\n Py_DECREF(cls);\n }\n\n Py_DECREF(locals);\n return result;\n}\n\n#else\n\nstatic PyObject *\n_get_first_arg_from_cell_variables(PyFrameObject *frame, PyCodeObject *code) {\n if (!code->co_cell2arg) {\n // we don't have args in cell variables\n return NULL;\n }\n\n Py_ssize_t ncells = PyTuple_GET_SIZE(code->co_cellvars);\n\n for (int i = 0; i < ncells; i++) {\n if (code->co_cell2arg[i] == CO_CELL_NOT_AN_ARG) {\n // this cell is not an argument\n continue;\n }\n\n // get the cell value\n // the cells are after the local variables\n PyObject *cell = frame->f_localsplus[code->co_nlocals + i];\n\n // return the value inside the cell\n if (!PyCell_Check(cell)) {\n continue;\n }\n\n return PyCell_GET(cell);\n }\n\n // cell variable not found\n return NULL;\n}\n\nstatic const char *\n_get_class_name_of_frame(PyFrameObject *frame, PyCodeObject *code) {\n // This code looks only at the first 'fast' frame local.\n //\n // A generalisable way to get a local variable would be to look at every\n // local for one with the name 'self' or 'cls'. And such a general method\n // should also prefer f_locals, if it exists.\n //\n // But, function args are always be the first locals, self/cls is always\n // be the first arg, and f_localsplus is always set, even if f_locals\n // exists. So we only look at the first f_localsplus entry.\n\n if (code->co_argcount < 1) {\n return NULL;\n }\n\n if (!PyTuple_Check(code->co_varnames)) {\n // co_varnames must be a tuple\n return NULL;\n }\n\n if (code->co_nlocals < 1 || PyTuple_Size(code->co_varnames) < 1) {\n return NULL;\n }\n\n PyObject *first_var_name = PyTuple_GetItem(code->co_varnames, 0);\n int first_var_is_self = (PyUnicode_Compare(first_var_name, SELF_STRING) == 0);\n int first_var_is_cls = (PyUnicode_Compare(first_var_name, CLS_STRING) == 0);\n\n if (!(first_var_is_self || first_var_is_cls)) {\n return NULL;\n }\n\n PyObject *first_var = frame->f_localsplus[0];\n\n if (first_var == NULL) {\n // Sometimes arguments are in cells, if they're accessible from other\n // scopes, for example an inner function that captures self. In that\n // case, the local var is NULL, and it's stored as a cell instead.\n first_var = _get_first_arg_from_cell_variables(frame, code);\n }\n\n if (first_var == NULL) {\n // not sure why this would happen, but as a failsafe.\n return NULL;\n }\n\n if (first_var_is_self) {\n PyTypeObject *type = first_var->ob_type;\n return _PyType_Name(type);\n } else if (first_var_is_cls) {\n if (!PyType_Check(first_var)) {\n return NULL;\n }\n PyTypeObject *type = (PyTypeObject *)first_var;\n return _PyType_Name(type);\n } else {\n Py_FatalError(\"unreachable code\");\n }\n\n return NULL;\n}\n\n#endif\n\n\n/**\n * returns `1` if any variable named `\"__trackbackhide__\"` is defined in frame\n * locals, returns `0` otherwise\n */\nstatic const int\n_get_tracebackhide(PyFrameObject *frame, PyCodeObject *code) {\n PyObject *locals_names = local_names_from_code(code);\n\n if (locals_names == NULL) {\n return 0;\n }\n\n if (!PySequence_Check(locals_names)) {\n // locals_names must be a sequence\n Py_DECREF(locals_names);\n return 0;\n }\n\n int tracebackhide = PySequence_Contains(locals_names, TRACEBACKHIDE_STRING);\n\n Py_DECREF(locals_names);\n\n if (tracebackhide < 0) {\n // in this case the PySequence_Contains function encountered an error\n Py_FatalError(\"could not determine names of frame local variables\");\n } else {\n return tracebackhide;\n }\n}\n\n/**\n * Returns a new reference to pyinstrument's frame info string for the given frame.\n */\nstatic PyObject *\n_get_frame_info(PyFrameObject *frame) {\n PyCodeObject *code = code_from_frame(frame);\n\n PyObject *class_name_attribute;\n\n const char *class_name = _get_class_name_of_frame(frame, code);\n if (class_name == NULL) {\n class_name_attribute = PyUnicode_New(0, 127); // empty string\n } else {\n class_name_attribute = PyUnicode_FromFormat(\n \"%c%c%s\",\n 1, // 0x01 char denotes 'attribute'\n 'c', // 'c' char denotes 'class name'\n class_name\n );\n }\n\n PyObject *line_number_attribute;\n\n int line_number = PyFrame_GetLineNumber(frame);\n if (line_number < 1) {\n line_number_attribute = PyUnicode_New(0, 127);\n } else {\n line_number_attribute = PyUnicode_FromFormat(\n \"%c%c%d\",\n 1,\n 'l', // 'l' char denotes 'line number'\n line_number\n );\n }\n\n PyObject *frame_hidden_attribute;\n\n int tracebackhide = _get_tracebackhide(frame, code);\n if (tracebackhide <= 0) {\n frame_hidden_attribute = PyUnicode_New(0, 127);\n } else {\n frame_hidden_attribute = PyUnicode_FromFormat(\n \"%c%c%c\",\n 1,\n 'h', // 'h' char denotes 'frame hidden'\n '1' // '1' char denotes 'true'\n );\n }\n\n PyObject *result = PyUnicode_FromFormat(\n \"%U%c%U%c%i%U%U%U\",\n code->co_name,\n 0, // NULL char\n code->co_filename,\n 0, // NULL char\n code->co_firstlineno,\n class_name_attribute,\n line_number_attribute,\n frame_hidden_attribute\n );\n\n Py_DECREF(code);\n Py_DECREF(class_name_attribute);\n Py_DECREF(line_number_attribute);\n Py_DECREF(frame_hidden_attribute);\n\n return result;\n}\n\nstatic int\n_parse_timer_type(PyObject *timer_type, int defaultValue) {\n if (timer_type == NULL || timer_type == Py_None) {\n return defaultValue;\n }\n\n if (!PyUnicode_Check(timer_type)) {\n PyErr_SetString(PyExc_TypeError, \"timer_type must be a string\");\n return -1;\n }\n\n if (PyUnicode_CompareWithASCIIString(timer_type, \"walltime\") == 0) {\n return TIMER_TYPE_WALLTIME;\n } else if (PyUnicode_CompareWithASCIIString(timer_type, \"walltime_thread\") == 0) {\n return TIMER_TYPE_WALLTIME_THREAD;\n } else if (PyUnicode_CompareWithASCIIString(timer_type, \"timer_func\") == 0) {\n return TIMER_TYPE_TIMER_FUNC;\n } else if (PyUnicode_CompareWithASCIIString(timer_type, \"walltime_coarse\") == 0) {\n return TIMER_TYPE_WALLTIME_COARSE;\n } else {\n PyErr_SetString(PyExc_TypeError, \"timer_type must be 'walltime', 'walltime_thread', 'walltime_coarse', or 'timer_func'\");\n return -1;\n }\n}\n\n//////////////////////\n// Public functions //\n//////////////////////\n\n/**\n * The profile function. Passed to PyEval_SetProfile, and called with\n * function frames as the program executes by Python\n */\nstatic int\nprofile(PyObject *op, PyFrameObject *frame, int what, PyObject *arg)\n{\n ProfilerState *pState = (ProfilerState *)op;\n PyObject *result;\n\n double now = ProfilerState_GetTime(pState);\n if (now == -1.0) {\n PyEval_SetProfile(NULL, NULL);\n return -1;\n }\n\n // check for context var change, send context_changed event if seen\n if (pState->context_var) {\n PyObject *old_context_var_value = pState->last_context_var_value;\n Py_XINCREF(old_context_var_value);\n\n if (!ProfilerState_UpdateContextVar(pState)) {\n PyEval_SetProfile(NULL, NULL);\n return -1;\n }\n\n if (old_context_var_value != pState->last_context_var_value) {\n PyFrameObject *context_change_frame; // borrowed reference\n PyFrameObject *parent_frame = PyFrame_GETBACK(frame); // strong reference, maybe null\n\n if (what == WHAT_CALL && parent_frame) {\n context_change_frame = parent_frame;\n } else {\n context_change_frame = frame;\n }\n\n PyObject *context_change_arg = PyTuple_Pack(\n 3,\n pState->last_context_var_value,\n old_context_var_value,\n pState->await_stack_list\n );\n\n result = call_target(pState, context_change_frame, WHAT_CONTEXT_CHANGED, context_change_arg);\n\n Py_DECREF(context_change_arg);\n Py_XDECREF(parent_frame);\n\n if (result == NULL) {\n PyEval_SetProfile(NULL, NULL);\n return -1;\n }\n\n Py_DECREF(result);\n }\n\n Py_XDECREF(old_context_var_value);\n }\n\n // if we're returning from a coroutine, add that to the await stack\n PyCodeObject* code = code_from_frame(frame);\n\n if ((what == WHAT_RETURN) && (code->co_flags & 0x80)) {\n PyObject *frame_identifier = _get_frame_info(frame);\n\n int status = PyList_Append(pState->await_stack_list, frame_identifier);\n Py_DECREF(frame_identifier);\n Py_DECREF(code);\n\n if (status == -1) {\n PyEval_SetProfile(NULL, NULL);\n return -1;\n }\n } else {\n Py_DECREF(code);\n\n // clear the list\n int status = PyList_SetSlice(\n pState->await_stack_list,\n 0,\n PyList_GET_SIZE(pState->await_stack_list),\n NULL\n );\n\n if (status == -1) {\n PyEval_SetProfile(NULL, NULL);\n return -1;\n }\n }\n\n\n // stat profile\n if (now < pState->last_invocation + pState->interval) {\n return 0;\n }\n\n pState->last_invocation = now;\n result = call_target(pState, frame, what, arg);\n\n if (result == NULL) {\n PyEval_SetProfile(NULL, NULL);\n return -1;\n }\n\n Py_DECREF(result);\n return 0;\n}\n\n/**\n * The 'setprofile' function. This is the public API that can be called\n * from Python code.\n */\nstatic PyObject *\nsetstatprofile(PyObject *m, PyObject *args, PyObject *kwds)\n{\n static char *kwlist[] = {\"target\", \"interval\", \"context_var\", \"timer_type\", \"timer_func\", NULL};\n ProfilerState *pState = NULL;\n double interval = 0.0;\n PyObject *target = NULL;\n PyObject *context_var = NULL;\n PyObject *timer_type = NULL;\n PyObject *timer_func = NULL;\n\n if (! PyArg_ParseTupleAndKeywords(args, kwds, \"O|dO!UO\", kwlist, &target, &interval, &PyContextVar_Type, &context_var, &timer_type, &timer_func))\n return NULL;\n\n if (target == Py_None) {\n target = NULL;\n }\n\n if (target) {\n if (!PyCallable_Check(target)) {\n PyErr_SetString(PyExc_TypeError, \"target must be callable\");\n return NULL;\n }\n\n pState = ProfilerState_New();\n if (pState == NULL) { // Check if allocation failed\n return NULL;\n }\n\n ProfilerState_SetTarget(pState, target);\n\n // default interval is 1 ms\n pState->interval = (interval > 0) ? interval : 0.001;\n\n int timer_type_int = _parse_timer_type(timer_type, TIMER_TYPE_WALLTIME);\n if (timer_type_int == -1) {\n goto error;\n }\n\n if (timer_func == Py_None) {\n timer_func = NULL;\n }\n\n if (timer_type_int == TIMER_TYPE_TIMER_FUNC && timer_func == NULL) {\n PyErr_SetString(PyExc_TypeError, \"timer_func must be set if timer_type is 'timer_func'\");\n goto error;\n }\n\n if (timer_func && timer_type_int != TIMER_TYPE_TIMER_FUNC) {\n PyErr_SetString(PyExc_TypeError, \"timer_type must be 'timer_func' if timer_func is set\");\n goto error;\n }\n\n if (timer_func) {\n Py_INCREF(timer_func);\n pState->timer_func = timer_func;\n } else if (timer_type_int == TIMER_TYPE_WALLTIME_THREAD) {\n pState->timer_thread_subscription_id = pyi_timing_thread_subscribe(pState->interval);\n if (pState->timer_thread_subscription_id < 0) {\n PyErr_Format(PyExc_RuntimeError, \"failed to subscribe to timing thread: error %d\", pState->timer_thread_subscription_id);\n goto error;\n }\n } else if (timer_type_int == TIMER_TYPE_WALLTIME_COARSE) {\n pState->floatclock_type = PYI_FLOATCLOCK_MONOTONIC_COARSE;\n } else {\n pState->floatclock_type = PYI_FLOATCLOCK_DEFAULT;\n }\n\n // initialise the last invocation to avoid immediate callback\n pState->last_invocation = ProfilerState_GetTime(pState);\n\n if (context_var) {\n Py_INCREF(context_var);\n pState->context_var = context_var;\n\n if (!ProfilerState_UpdateContextVar(pState)) {\n goto error;\n }\n }\n\n PyEval_SetProfile(profile, (PyObject *)pState);\n Py_DECREF(pState); // We've given a reference to SetProfile, so we release ours.\n } else {\n PyEval_SetProfile(NULL, NULL);\n }\n\n Py_RETURN_NONE;\n\nerror:\n Py_XDECREF(pState);\n return NULL;\n}\n\n\nstatic PyObject *\nget_frame_info(PyObject *m, PyObject *const *args, Py_ssize_t nargs)\n{\n if (nargs != 1) {\n PyErr_SetString(PyExc_TypeError, \"get_frame_info takes exactly 1 argument\");\n return NULL;\n }\n\n if (!PyFrame_Check(args[0])) {\n PyErr_SetString(PyExc_TypeError, \"get_frame_info should be called with a Frame object\");\n return NULL;\n }\n\n PyFrameObject *frame = (PyFrameObject *)args[0];\n\n return _get_frame_info(frame);\n}\n\nstatic inline double\nmeasure_timing_overhead_for_timer(PYIFloatClockType timer) {\n int n = 1000;\n int num_iterations = 0;\n pyi_floatclock(timer); // warmup\n double start = pyi_floatclock(timer);\n double end = start;\n double duration = 0;\n for (int i = 0; i < n; i++) {\n end = pyi_floatclock(timer);\n duration = end - start;\n num_iterations += 1;\n if (duration > 0.0001) {\n // dont run this for more than 100us\n break;\n }\n }\n return duration / num_iterations;\n}\n\nstatic PyObject *\nmeasure_timing_overhead(PyObject *m, PyObject * Py_UNUSED(args))\n{\n double monotonic_coarse_resolution = pyi_monotonic_coarse_resolution();\n int is_course_timer_available = monotonic_coarse_resolution != DBL_MAX;\n\n PyObject *result = PyDict_New();\n PyObject *value = PyFloat_FromDouble(measure_timing_overhead_for_timer(PYI_FLOATCLOCK_DEFAULT));\n PyDict_SetItemString(result, \"walltime\", value);\n Py_DECREF(value);\n if (is_course_timer_available) {\n value = PyFloat_FromDouble(measure_timing_overhead_for_timer(PYI_FLOATCLOCK_MONOTONIC_COARSE));\n PyDict_SetItemString(result, \"walltime_coarse\", value);\n Py_DECREF(value);\n }\n\n return result;\n}\n\nstatic PyObject *\nwalltime_coarse_resolution(PyObject *m, PyObject * Py_UNUSED(args))\n{\n double resolution = pyi_monotonic_coarse_resolution();\n if (resolution == DBL_MAX) {\n Py_RETURN_NONE;\n }\n return PyFloat_FromDouble(resolution);\n}\n\n///////////////////////////\n// Module initialization //\n///////////////////////////\n\nstatic PyMethodDef module_methods[] = {\n {\"setstatprofile\", (PyCFunction)setstatprofile, METH_VARARGS | METH_KEYWORDS,\n \"Sets the statistical profiler callback. The function in the same manner as setprofile, but \"\n \"instead of being called every on every call and return, the function is called every \"\n \" seconds with the current stack.\"},\n {\"get_frame_info\", (PyCFunction)get_frame_info, METH_FASTCALL,\n \"Returns the frame identifier string for the given Frame object.\"},\n {\"measure_timing_overhead\", (PyCFunction)measure_timing_overhead, METH_NOARGS,\n \"Returns a dict showing how much overhead the timing options have.\"},\n {\"walltime_coarse_resolution\", (PyCFunction)walltime_coarse_resolution, METH_NOARGS,\n \"Returns the resolution of the monotonic coarse clock. Returns None if the clock is not available.\"},\n {NULL} /* Sentinel */\n};\n\nPyMODINIT_FUNC PyInit_stat_profile(void)\n{\n PyType_Ready(&ProfilerState_Type);\n\n static struct PyModuleDef moduledef = {\n PyModuleDef_HEAD_INIT,\n \"stat_profile\",\n \"Module that implements the backend to a statistical profiler\",\n -1,\n module_methods\n };\n\n if (stat_profile_init() == -1)\n return NULL;\n\n return PyModule_Create(&moduledef);\n}\n" }, { "path": "pyinstrument/low_level/stat_profile.pyi", "content": "import contextvars\nimport types\nfrom typing import Any, Callable, Dict\n\nfrom pyinstrument.low_level.types import TimerType\n\ndef setstatprofile(\n target: Callable[[types.FrameType, str, Any], Any] | None,\n interval: float = 0.001,\n context_var: contextvars.ContextVar[object | None] | None = None,\n timer_type: TimerType | None = None,\n timer_func: Callable[[], float] | None = None,\n) -> None: ...\ndef get_frame_info(frame: types.FrameType) -> str: ...\ndef measure_timing_overhead() -> Dict[TimerType, float]: ...\ndef walltime_coarse_resolution() -> float | None: ...\n" }, { "path": "pyinstrument/low_level/stat_profile_python.py", "content": "from __future__ import annotations\n\nimport contextvars\nimport sys\nimport timeit\nimport types\nfrom typing import Any, Callable, List, Optional, Type\n\nfrom pyinstrument.low_level.pyi_timing_thread_python import (\n pyi_timing_thread_get_time,\n pyi_timing_thread_subscribe,\n pyi_timing_thread_unsubscribe,\n)\nfrom pyinstrument.low_level.types import TimerType\n\n\nclass PythonStatProfiler:\n await_stack: list[str]\n timing_thread_subscription: int | None = None\n\n def __init__(\n self,\n target: Callable[[types.FrameType, str, Any], Any],\n interval: float,\n context_var: contextvars.ContextVar[object | None] | None,\n timer_type: TimerType,\n timer_func: Callable[[], float] | None,\n ):\n self.target = target\n self.interval = interval\n if context_var:\n # raise typeerror to match the C version\n if not isinstance(context_var, contextvars.ContextVar):\n raise TypeError(\"not a context var\")\n self.context_var = context_var\n\n self.timer_type = timer_type\n\n if timer_type == \"walltime\":\n self.get_time = timeit.default_timer\n elif timer_type == \"walltime_thread\":\n self.get_time = pyi_timing_thread_get_time\n self.timing_thread_subscription = pyi_timing_thread_subscribe(interval)\n elif timer_type == \"timer_func\":\n if timer_func is None:\n raise TypeError(\"timer_func must be provided for timer_func timer_type\")\n self.get_time = timer_func\n else:\n raise ValueError(f\"invalid timer_type '{timer_type}'\")\n\n self.last_invocation = self.get_time()\n\n self.last_context_var_value = context_var.get() if context_var else None\n self.await_stack = []\n\n def __del__(self):\n if self.timing_thread_subscription is not None:\n pyi_timing_thread_unsubscribe(self.timing_thread_subscription)\n\n def profile(self, frame: types.FrameType, event: str, arg: Any):\n now = self.get_time()\n\n if self.context_var:\n context_var_value = self.context_var.get()\n last_context_var_value = self.last_context_var_value\n\n if context_var_value is not last_context_var_value:\n context_change_frame = frame.f_back if event == \"call\" else frame\n assert context_change_frame is not None\n self.target(\n context_change_frame,\n \"context_changed\",\n (context_var_value, last_context_var_value, self.await_stack),\n )\n self.last_context_var_value = context_var_value\n\n # 0x80 == CO_COROUTINE (i.e. defined with 'async def')\n if event == \"return\" and frame.f_code.co_flags & 0x80:\n self.await_stack.append(get_frame_info(frame))\n else:\n self.await_stack.clear()\n\n if now < self.last_invocation + self.interval:\n return\n\n self.last_invocation = now\n return self.target(frame, event, arg)\n\n\n\"\"\"\nA reimplementation of setstatprofile in Python, for prototyping/reference\npurposes. Not used in normal execution.\n\"\"\"\n\n\ndef setstatprofile(\n target: Callable[[types.FrameType, str, Any], Any] | None,\n interval: float = 0.001,\n context_var: contextvars.ContextVar[object | None] | None = None,\n timer_type: TimerType = \"walltime\",\n timer_func: Callable[[], float] | None = None,\n) -> None:\n if target:\n profiler = PythonStatProfiler(\n target=target,\n interval=interval,\n context_var=context_var,\n timer_type=timer_type,\n timer_func=timer_func,\n )\n sys.setprofile(profiler.profile)\n else:\n sys.setprofile(None)\n\n\ndef get_frame_info(frame: types.FrameType) -> str:\n frame_info = \"%s\\x00%s\\x00%i\" % (\n frame.f_code.co_name,\n frame.f_code.co_filename,\n frame.f_code.co_firstlineno,\n )\n\n class_name = None\n # try to find self argument for methods\n self = frame.f_locals.get(\"self\", None)\n if self and hasattr(self, \"__class__\") and hasattr(self.__class__, \"__qualname__\"):\n class_name = self.__class__.__qualname__\n else:\n # also try to find cls argument for class methods\n cls = frame.f_locals.get(\"cls\", None)\n if cls and hasattr(cls, \"__qualname__\"):\n class_name = cls.__qualname__\n\n frame_hidden = \"__tracebackhide__\" in frame.f_locals\n\n if class_name:\n frame_info += \"\\x01c%s\" % class_name\n\n if frame.f_lineno is not None:\n frame_info += \"\\x01l%i\" % frame.f_lineno\n\n if frame_hidden:\n frame_info += \"\\x01h%i\" % frame_hidden\n\n return frame_info\n" }, { "path": "pyinstrument/low_level/types.py", "content": "from pyinstrument.typing import LiteralStr\n\nTimerType = LiteralStr[\"walltime\", \"walltime_thread\", \"timer_func\", \"walltime_coarse\"]\n" }, { "path": "pyinstrument/magic/__init__.py", "content": "from .magic import PyinstrumentMagic\n" }, { "path": "pyinstrument/magic/_utils.py", "content": "from __future__ import annotations\n\n# This file is largely based on https://gist.github.com/Carreau/0f051f57734222da925cd364e59cc17e which is in the public domain\n# This (or something similar) may eventually be moved into IPython\nimport ast\nfrom ast import Assign, Expr, Load, Name, NodeTransformer, Store, parse\nfrom textwrap import dedent\n\n\nclass PrePostAstTransformer(NodeTransformer):\n \"\"\"\n Allow to safely wrap user code with pre/post execution hooks that\n run just before and just after usercode, __inside__ the execution loop,\n But still returns the value of the last Expression.\n\n This might not behave as expected if the user change the InteractiveShell.ast_node_interactivity option.\n\n This is currently not hygienic and care must be taken to use uncommon names in the pre/post block.\n\n Assuming the user have\n\n ```\n code_block:\n [with many expressions]\n last_expression\n ```\n\n It will transform it into\n\n ```\n try:\n pre_block\n code_block:\n [with many expressions]\n return_value = last_expression\n finally:\n post_block\n return_value\n ```\n\n Thus making sure that post is always executed even if pre or user code fails.\n \"\"\"\n\n def __init__(self, pre: str | ast.Module, post: str | ast.Module):\n \"\"\"\n pre and post are either strings, or ast.Modules object that need to be run just before or after\n the user code.\n\n While strings are possible, we suggest using ast.Modules\n object and mangling the corresponding variable names\n to be invalid python identifiers to avoid name conflicts.\n \"\"\"\n if isinstance(pre, str):\n pre = parse(pre)\n if isinstance(post, str):\n post = parse(post)\n\n self.pre = pre.body\n self.post = post.body\n self.active = True\n\n def reset(self):\n self.core = parse(\n dedent(\n \"\"\"\n try:\n pass\n finally:\n pass\n \"\"\"\n )\n )\n self.try_ = self.core.body[0].body = [] # type: ignore\n self.fin = self.core.body[0].finalbody = [] # type: ignore\n\n def visit_Module(self, node: ast.Module):\n if not self.active:\n return node\n self.reset()\n last = node.body[-1]\n ret = None\n if isinstance(last, Expr):\n node.body.pop()\n node.body.append(Assign([Name(\"ast-tmp\", ctx=Store())], value=last.value))\n ret = Expr(value=Name(\"ast-tmp\", ctx=Load()))\n # self.core.body.insert(0, Assign([Name('_p', ctx=Store())], value=ast.Constant(None) ))\n if ret:\n self.core.body.insert(\n 0, Assign([Name(\"ast-tmp\", ctx=Store())], value=ast.Constant(None))\n )\n for p in self.pre + node.body:\n self.try_.append(p)\n for p in self.post:\n self.fin.append(p)\n if ret is not None:\n self.core.body.append(ret)\n\n ast.fix_missing_locations(self.core)\n return self.core\n" }, { "path": "pyinstrument/magic/magic.py", "content": "from __future__ import annotations\n\nimport asyncio\nimport html\nimport threading\nimport urllib.parse\nfrom ast import parse\nfrom textwrap import dedent\n\nimport IPython\nfrom IPython import get_ipython # type: ignore\nfrom IPython.core.magic import Magics, line_cell_magic, magics_class, no_var_expand\nfrom IPython.core.magic_arguments import argument, magic_arguments, parse_argstring\nfrom IPython.display import IFrame, display\n\nfrom pyinstrument import Profiler, renderers\nfrom pyinstrument.__main__ import compute_render_options\nfrom pyinstrument.frame import Frame\nfrom pyinstrument.frame_ops import delete_frame_from_tree\nfrom pyinstrument.processors import ProcessorOptions\nfrom pyinstrument.renderers.console import ConsoleRenderer\nfrom pyinstrument.renderers.html import HTMLRenderer\n\n_active_profiler = None\n\n_ASYNCIO_HTML_WARNING = \"\"\"\nTo enable asyncio mode, use 
%%pyinstrument --async_mode=enabled

\nNote that due to IPython limitations this will run in a separate thread!\n\"\"\".strip()\n_ASYNCIO_TEXT_WARNING = (\n _ASYNCIO_HTML_WARNING.replace(\"
\", \"`\").replace(\"
\", \"`\").replace(\"
\", \"\\n\")\n)\n\n\ndef _get_active_profiler():\n \"\"\"\n Allows the code inserted into the cell to access the pyinstrument Profiler\n instance, to start/stop it.\n \"\"\"\n return _active_profiler\n\n\nclass InterruptSilently(Exception):\n \"\"\"Exception used to interrupt execution without showing traceback\"\"\"\n\n\n@magics_class\nclass PyinstrumentMagic(Magics):\n def __init__(self, shell):\n super().__init__(shell)\n self._transformer = None\n\n def recreate_transformer(self, target_description: str):\n if IPython.version_info < (8, 15): # type: ignore\n from ._utils import PrePostAstTransformer\n\n # This will leak _get_active_profiler into the users space until we can magle it\n pre = parse(\n dedent(\n f\"\"\"\n from pyinstrument.magic.magic import _get_active_profiler\n _get_active_profiler().start(target_description={target_description!r})\n \"\"\"\n )\n )\n post = parse(\"\\n_get_active_profiler().stop()\")\n self._transformer = PrePostAstTransformer(pre, post)\n else:\n from IPython.core.magics.ast_mod import ReplaceCodeTransformer # type: ignore\n\n self._transformer = ReplaceCodeTransformer.from_string(\n dedent(\n f\"\"\"\n from pyinstrument.magic.magic import _get_active_profiler as ___get_prof\n ___get_prof().start(target_description={target_description!r})\n try:\n __code__\n finally:\n ___get_prof().stop()\n __ret__\n \"\"\"\n )\n )\n\n @magic_arguments()\n @argument(\n \"-p\",\n \"--render-option\",\n dest=\"render_options\",\n action=\"append\",\n metavar=\"RENDER_OPTION\",\n type=str,\n help=(\n \"options to pass to the renderer, in the format 'flag_name' or 'option_name=option_value'. \"\n \"For example, to set the option 'time', pass '-p time=percent_of_total'. To pass multiple \"\n \"options, use the -p option multiple times. You can set processor options using dot-syntax, \"\n \"like '-p processor_options.filter_threshold=0'. option_value is parsed as a JSON value or \"\n \"a string.\"\n ),\n )\n @argument(\n \"--show-regex\",\n dest=\"show_regex\",\n action=\"store\",\n metavar=\"REGEX\",\n help=(\n \"regex matching the file paths whose frames to always show. \"\n \"Useful if --show doesn't give enough control.\"\n ),\n )\n @argument(\n \"--show\",\n dest=\"show_fnmatch\",\n action=\"store\",\n metavar=\"EXPR\",\n help=(\n \"glob-style pattern matching the file paths whose frames to \"\n \"show, regardless of --hide or --hide-regex. For example, use \"\n \"--show '*//*' to show frames within a library that \"\n \"would otherwise be hidden.\"\n ),\n )\n @argument(\n \"--interval\",\n type=float,\n default=0.001,\n help=\"The minimum time, in seconds, between each stack sample. See: https://pyinstrument.readthedocs.io/en/stable/reference.html#pyinstrument.Profiler.interval\",\n )\n @argument(\n \"--show-all\",\n action=\"store_true\",\n help=\"SHow all frames, including root frames with no time, and Internal IPython frames.\",\n )\n @argument(\n \"--async_mode\",\n default=\"disabled\",\n help=\"Configures how this Profiler tracks time in a program that uses async/await. See: https://pyinstrument.readthedocs.io/en/stable/reference.html#pyinstrument.Profiler.async_mode\",\n )\n @argument(\n \"--height\",\n \"-h\",\n default=400,\n help=\"Output height\",\n )\n @argument(\n \"--timeline\",\n type=bool,\n default=False,\n help=\"Show output timeline view\",\n )\n @argument(\n \"code\",\n type=str,\n nargs=\"*\",\n help=\"When used as a line magic, the code to profile\",\n )\n @argument(\n \"--hide\",\n dest=\"hide_fnmatch\",\n action=\"store\",\n metavar=\"EXPR\",\n help=(\n \"glob-style pattern matching the file paths whose frames to hide. Defaults to \"\n \"hiding non-application code\"\n ),\n )\n @argument(\n \"--hide-regex\",\n dest=\"hide_regex\",\n action=\"store\",\n metavar=\"REGEX\",\n help=(\n \"regex matching the file paths whose frames to hide. Useful if --hide doesn't give \"\n \"enough control.\"\n ),\n )\n @no_var_expand\n @line_cell_magic\n def pyinstrument(self, line, cell=None):\n \"\"\"\n Run a cell with the pyinstrument statistical profiler.\n\n Converts the line/cell's AST to something like:\n try:\n profiler.start()\n run_code\n finally:\n profiler.stop()\n profiler.output_html()\n \"\"\"\n global _active_profiler\n args = parse_argstring(self.pyinstrument, line)\n\n # 2024, always override this for now in IPython,\n # we can make an option later if necessary\n args.unicode = True\n args.color = True\n\n ip = get_ipython()\n\n if not ip:\n raise RuntimeError(\"couldn't get ipython shell instance\")\n\n if cell:\n target_description = f\"Cell [{ip.execution_count}]\"\n else:\n target_description = f\"Line in cell [{ip.execution_count}]\"\n code = cell or line\n\n if not code:\n return\n\n # Turn off the last run (e.g. a user interrupted)\n if _active_profiler and _active_profiler.is_running:\n _active_profiler.stop()\n if self._transformer in ip.ast_transformers:\n ip.ast_transformers.remove(self._transformer)\n\n _active_profiler = Profiler(interval=args.interval, async_mode=args.async_mode)\n self.recreate_transformer(target_description=target_description)\n ip.ast_transformers.append(self._transformer)\n if args.async_mode == \"disabled\":\n cell_result = ip.run_cell(code)\n else:\n cell_result = self.run_cell_async(ip, code)\n mangled_keys = [k for k in ip.user_ns.keys() if \"-\" in k]\n for k in mangled_keys:\n del ip.user_ns[k]\n ip.ast_transformers.remove(self._transformer)\n\n if (\n args.async_mode == \"disabled\"\n and cell_result.error_in_exec\n and isinstance(cell_result.error_in_exec, RuntimeError)\n and \"event loop is already running\" in str(cell_result.error_in_exec)\n ):\n # if the cell is async, the Magic doesn't work, raising the above\n # exception instead. We display a warning and return.\n display(\n {\n \"text/plain\": _ASYNCIO_TEXT_WARNING,\n \"text/html\": _ASYNCIO_HTML_WARNING,\n },\n raw=True,\n )\n return\n\n # If a KeyboardInterrupt occurred during the magic execution,\n # raise an exception to prevent further executions.\n if isinstance(cell_result.error_in_exec, KeyboardInterrupt):\n # The traceback is already shown during the cell execution above, so we\n # don't re-raise the exception directly.\n old_custom_tb = ip.CustomTB\n old_custom_exceptions = ip.custom_exceptions\n\n def _silent_exception_handler(self, etype, value, tb, tb_offset=None):\n # restore the original handlers\n ip.CustomTB = old_custom_tb\n ip.custom_exceptions = old_custom_exceptions\n # swallow the InterruptSilently entirely\n\n # install our silent handler\n ip.set_custom_exc((InterruptSilently,), _silent_exception_handler)\n raise InterruptSilently()\n\n html_config = compute_render_options(\n args, renderer_class=HTMLRenderer, unicode_support=True, color_support=True\n )\n\n text_config = compute_render_options(\n args, renderer_class=HTMLRenderer, unicode_support=True, color_support=True\n )\n\n html_renderer = renderers.HTMLRenderer(show_all=args.show_all, timeline=args.timeline)\n html_renderer.preprocessors.append(strip_ipython_frames_processor)\n html_str = _active_profiler.output(html_renderer)\n as_iframe = IFrame(\n src=\"data:text/html, Loading…\",\n width=\"100%\",\n height=args.height,\n extras=['style=\"resize: vertical\"', f'srcdoc=\"{html.escape(html_str)}\"'],\n )\n\n text_renderer = renderers.ConsoleRenderer(**text_config)\n text_renderer.processors.append(strip_ipython_frames_processor)\n\n as_text = _active_profiler.output(text_renderer)\n # repr_html may be a bit fragile, but it's been stable for a while\n display({\"text/html\": as_iframe._repr_html_(), \"text/plain\": as_text}, raw=True) # type: ignore\n\n assert not _active_profiler.is_running\n _active_profiler = None\n\n def run_cell_async(self, ip, code):\n # This is a bit of a hack, but it's the only way to get the cell to run\n # asynchronously. We need to run the cell in a separate thread, and then\n # wait for it to finish.\n #\n # Please keep an eye on this issue to see if there's a better way:\n # https://github.com/ipython/ipython/issues/11314\n old_loop = asyncio.get_event_loop()\n loop = asyncio.new_event_loop()\n try:\n threading.Thread(target=loop.run_forever).start()\n asyncio.set_event_loop(loop)\n coro = ip.run_cell_async(code)\n future = asyncio.run_coroutine_threadsafe(coro, loop)\n return future.result()\n finally:\n loop.call_soon_threadsafe(loop.stop)\n asyncio.set_event_loop(old_loop)\n\n\nIPYTHON_INTERNAL_FILES = (\n \"IPython/core/interactiveshell.py\",\n \"IPython/terminal/interactiveshell.py\",\n \"IPython/core/async_helpers.py\",\n \"IPython/terminal/ipapp.py\",\n \"traitlets/config/application.py\",\n \"ipython/IPython/__init__.py\",\n \"ipykernel/zmqshell\",\n \"pyinstrument/magic/magic.py\",\n)\n\n\ndef strip_ipython_frames_processor(frame: Frame | None, options: ProcessorOptions) -> Frame | None:\n \"\"\"\n A processor function that removes internal IPython nodes.\n \"\"\"\n if frame is None:\n return None\n\n for child in frame.children:\n strip_ipython_frames_processor(child, options=options)\n\n if child.file_path is not None and any(\n f in child.file_path for f in IPYTHON_INTERNAL_FILES\n ):\n delete_frame_from_tree(child, replace_with=\"children\")\n break\n\n return frame\n" }, { "path": "pyinstrument/middleware.py", "content": "import io\nimport os\nimport sys\nimport time\n\nfrom django.conf import settings\nfrom django.http import HttpResponse\nfrom django.utils.module_loading import import_string\n\nfrom pyinstrument import Profiler\nfrom pyinstrument.renderers import Renderer\nfrom pyinstrument.renderers.html import HTMLRenderer\n\ntry:\n from django.utils.deprecation import MiddlewareMixin\nexcept ImportError:\n MiddlewareMixin = object\n\n\ndef get_renderer(path) -> Renderer:\n \"\"\"Return the renderer instance.\"\"\"\n if path:\n try:\n renderer = import_string(path)()\n except ImportError as exc:\n print(\"Unable to import the class: %s\" % path)\n raise exc\n\n if not isinstance(renderer, Renderer):\n raise ValueError(f\"Renderer should subclass: {Renderer}\")\n\n return renderer\n else:\n return HTMLRenderer()\n\n\nclass ProfilerMiddleware(MiddlewareMixin): # type: ignore\n def process_request(self, request):\n profile_dir = getattr(settings, \"PYINSTRUMENT_PROFILE_DIR\", None)\n\n func_or_path = getattr(settings, \"PYINSTRUMENT_SHOW_CALLBACK\", None)\n if isinstance(func_or_path, str):\n show_pyinstrument = import_string(func_or_path)\n elif callable(func_or_path):\n show_pyinstrument = func_or_path\n else:\n show_pyinstrument = lambda request: True\n\n if (\n show_pyinstrument(request)\n and getattr(settings, \"PYINSTRUMENT_URL_ARGUMENT\", \"profile\") in request.GET\n ) or profile_dir:\n interval: float = getattr(settings, \"PYINSTRUMENT_INTERVAL\", 0.001)\n profiler = Profiler(interval=interval)\n profiler.start()\n\n request.profiler = profiler\n\n def process_response(self, request, response):\n if hasattr(request, \"profiler\"):\n profile_session = request.profiler.stop()\n default_filename_template = \"{total_time:.3f}s {path} {timestamp:.0f}.{ext}\"\n\n configured_renderer = getattr(settings, \"PYINSTRUMENT_PROFILE_DIR_RENDERER\", None)\n renderer = get_renderer(configured_renderer)\n\n output = renderer.render(profile_session)\n\n profile_dir = getattr(settings, \"PYINSTRUMENT_PROFILE_DIR\", None)\n\n filename_cb = getattr(settings, \"PYINSTRUMENT_FILENAME_CALLBACK\", None)\n\n filename_template = getattr(\n settings, \"PYINSTRUMENT_FILENAME\", default_filename_template\n )\n\n # Limit the length of the file name (255 characters is the max limit on major current OS, but it is rather\n # high and the other parts (see line 36) are to be taken into account; so a hundred will be fine here).\n path = request.get_full_path().replace(\"/\", \"_\")[:100]\n\n # Swap ? for _qs_ on Windows, as it does not support ? in filenames.\n if sys.platform in [\"win32\", \"cygwin\"]:\n path = path.replace(\"?\", \"_qs_\")\n\n if profile_dir:\n if filename_cb and callable(filename_cb):\n filename = filename_cb(request, profile_session, renderer)\n if not isinstance(filename, str):\n raise ValueError(\"Filename callback return value should be a string\")\n else:\n filename = filename_template.format(\n total_time=profile_session.duration,\n path=path,\n timestamp=time.time(),\n ext=renderer.output_file_extension,\n )\n\n file_path = os.path.join(profile_dir, filename)\n\n if not os.path.exists(profile_dir):\n os.mkdir(profile_dir)\n\n with open(file_path, \"w\", encoding=\"utf-8\") as f:\n f.write(output)\n\n if getattr(settings, \"PYINSTRUMENT_URL_ARGUMENT\", \"profile\") in request.GET:\n if isinstance(renderer, HTMLRenderer):\n return HttpResponse(output) # type: ignore\n else:\n renderer = HTMLRenderer()\n output = renderer.render(profile_session)\n return HttpResponse(output) # type: ignore\n else:\n return response\n else:\n return response\n" }, { "path": "pyinstrument/processors.py", "content": "\"\"\"\nProcessors are functions that take a Frame object, and mutate the tree to perform some task.\n\nThey can mutate the tree in-place, but also can change the root frame, they should always be\ncalled like::\n\n frame = processor(frame, options=...)\n\"\"\"\n\nfrom __future__ import annotations\n\nimport re\nfrom typing import Any, Callable, Dict, Union\n\nfrom pyinstrument.frame import SELF_TIME_FRAME_IDENTIFIER, Frame, FrameGroup\nfrom pyinstrument.frame_ops import combine_frames, delete_frame_from_tree\n\n# pyright: strict\n\n\nProcessorType = Callable[..., Union[Frame, None]]\nProcessorOptions = Dict[str, Any]\n\n\ndef remove_importlib(frame: Frame | None, options: ProcessorOptions) -> Frame | None:\n \"\"\"\n Removes `` Frame | None:\n \"\"\"\n Removes frames that have set a local `__tracebackhide__` (e.g.\n `__tracebackhide__ = True`), to hide them from the output.\n \"\"\"\n if frame is None:\n return None\n\n for child in frame.children:\n remove_tracebackhide(child, options=options)\n\n if child.has_tracebackhide:\n # remove this node, moving the self_time and children up to the parent\n delete_frame_from_tree(child, replace_with=\"children\")\n\n return frame\n\n\ndef aggregate_repeated_calls(frame: Frame | None, options: ProcessorOptions) -> Frame | None:\n \"\"\"\n Converts a timeline into a time-aggregate summary.\n\n Adds together calls along the same call stack, so that repeated calls appear as the same\n frame. Removes time-linearity - frames are sorted according to total time spent.\n\n Useful for outputs that display a summary of execution (e.g. text and html outputs)\n \"\"\"\n if frame is None:\n return None\n\n children_by_identifier: dict[str, Frame] = {}\n\n # iterate over a copy of the children since it's going to mutate while we're iterating\n for child in frame.children:\n if child.identifier in children_by_identifier:\n aggregate_frame = children_by_identifier[child.identifier]\n\n # combine child into aggregate frame, removing it from the tree\n combine_frames(child, into=aggregate_frame)\n else:\n # never seen this identifier before. It becomes the aggregate frame.\n children_by_identifier[child.identifier] = child\n\n # recurse into the children\n for child in frame.children:\n aggregate_repeated_calls(child, options=options)\n\n # sort the children by time\n # we use the internal _children list, because we need to mutate it\n frame._children.sort(key=lambda c: c.time, reverse=True) # type: ignore # noqa\n\n return frame\n\n\ndef group_library_frames_processor(frame: Frame | None, options: ProcessorOptions) -> Frame | None:\n \"\"\"\n Groups frames that should be hidden into :class:`FrameGroup` objects,\n according to ``hide_regex`` and ``show_regex`` in the options dict, as\n applied to the file path of the source code of the frame. If both match,\n 'show' has precedence.\n Options:\n\n ``hide_regex``\n regular expression, which if matches the file path, hides the frame in a\n frame group.\n\n ``show_regex``\n regular expression, which if matches the file path, ensures the frame is\n not hidden\n\n Single frames are not grouped, there must be at least two frames in a\n group.\n \"\"\"\n if frame is None:\n return None\n\n hide_regex: str | None = options.get(\"hide_regex\")\n show_regex: str | None = options.get(\"show_regex\")\n\n def should_be_hidden(frame: Frame):\n frame_file_path = frame.file_path or \"\"\n\n should_show = (show_regex is not None) and re.match(show_regex, frame_file_path)\n should_hide = (hide_regex is not None) and re.match(hide_regex, frame_file_path)\n\n # check for explicit user show/hide rules. 'show' has precedence.\n if should_show:\n return False\n if should_hide:\n return True\n\n return not frame.is_application_code\n\n def add_frames_to_group(frame: Frame, group: FrameGroup):\n group.add_frame(frame)\n for child in frame.children:\n if should_be_hidden(child):\n add_frames_to_group(child, group)\n\n for child in frame.children:\n if not child.group and (\n should_be_hidden(child) and any(should_be_hidden(cc) for cc in child.children)\n ):\n group = FrameGroup(child)\n add_frames_to_group(child, group)\n\n group_library_frames_processor(child, options=options)\n\n return frame\n\n\ndef merge_consecutive_self_time(\n frame: Frame | None, options: ProcessorOptions, recursive: bool = True\n) -> Frame | None:\n \"\"\"\n Combines consecutive 'self time' frames.\n \"\"\"\n if frame is None:\n return None\n\n previous_self_time_frame = None\n\n for child in frame.children:\n if child.identifier == SELF_TIME_FRAME_IDENTIFIER:\n if previous_self_time_frame:\n # merge\n previous_self_time_frame.time += child.time\n child.remove_from_parent()\n else:\n # keep a reference, maybe it'll be added to on the next loop\n previous_self_time_frame = child\n else:\n previous_self_time_frame = None\n\n if recursive:\n for child in frame.children:\n merge_consecutive_self_time(child, options=options, recursive=True)\n\n return frame\n\n\ndef remove_unnecessary_self_time_nodes(\n frame: Frame | None, options: ProcessorOptions\n) -> Frame | None:\n \"\"\"\n When a frame has only one child, and that is a self-time frame, remove\n that node and move the time to parent, since it's unnecessary - it\n clutters the output and offers no additional information.\n \"\"\"\n if frame is None:\n return None\n\n if len(frame.children) == 1 and frame.children[0].identifier == SELF_TIME_FRAME_IDENTIFIER:\n delete_frame_from_tree(frame.children[0], replace_with=\"nothing\")\n\n for child in frame.children:\n remove_unnecessary_self_time_nodes(child, options=options)\n\n return frame\n\n\ndef remove_irrelevant_nodes(\n frame: Frame | None, options: ProcessorOptions, total_time: float | None = None\n) -> Frame | None:\n \"\"\"\n Remove nodes that represent less than e.g. 1% of the output. Options:\n\n ``filter_threshold``\n sets the minimum duration of a frame to be included in the output.\n Default: 0.01.\n \"\"\"\n if frame is None:\n return None\n\n if total_time is None:\n total_time = frame.time\n\n # prevent divide by zero\n if total_time <= 0:\n total_time = 1e-44\n\n filter_threshold = options.get(\"filter_threshold\", 0.01)\n\n for child in frame.children:\n proportion_of_total = child.time / total_time\n\n if proportion_of_total < filter_threshold:\n delete_frame_from_tree(child, replace_with=\"nothing\")\n\n for child in frame.children:\n remove_irrelevant_nodes(child, options=options, total_time=total_time)\n\n return frame\n\n\n# pylint: disable=W0613\ndef remove_first_pyinstrument_frames_processor(\n frame: Frame | None, options: ProcessorOptions\n) -> Frame | None:\n \"\"\"\n The first few frames when using the command line are the __main__ of\n pyinstrument, the eval, and the 'runpy' module. I want to remove that from\n the output.\n \"\"\"\n if frame is None:\n return None\n\n # the initial pyinstrument frame\n def is_initial_pyinstrument_frame(frame: Frame):\n return (\n frame.file_path is not None\n and re.match(r\".*pyinstrument[/\\\\]__main__.py\", frame.file_path)\n and len(frame.children) > 0\n )\n\n def is_exec_frame(frame: Frame):\n return (\n frame.proportion_of_parent > 0.8\n and frame.file_path is not None\n and \"\" in frame.file_path\n and len(frame.children) > 0\n )\n\n def is_runpy_frame(frame: Frame):\n return (\n frame.proportion_of_parent > 0.8\n and frame.file_path is not None\n and (re.match(r\".*runpy.py\", frame.file_path) or \"\" in frame.file_path)\n and len(frame.children) > 0\n )\n\n result = frame\n\n if not is_initial_pyinstrument_frame(result):\n return frame\n\n result = result.children[0]\n\n if not is_exec_frame(result):\n return frame\n\n result = result.children[0]\n\n # at this point we know we've matched the first few frames of a command\n # line invocation. We'll trim some runpy frames and return.\n\n while is_runpy_frame(result):\n result = result.children[0]\n\n # remove this frame from the parent to make it the new root frame\n result.remove_from_parent()\n\n return result\n" }, { "path": "pyinstrument/profiler.py", "content": "from __future__ import annotations\n\nimport inspect\nimport os\nimport sys\nimport time\nimport types\nfrom pathlib import Path\nfrom time import process_time\nfrom typing import IO, Any\n\nfrom pyinstrument import renderers\nfrom pyinstrument.frame import AWAIT_FRAME_IDENTIFIER, OUT_OF_CONTEXT_FRAME_IDENTIFIER\nfrom pyinstrument.renderers.console import FlatTimeMode\nfrom pyinstrument.session import Session\nfrom pyinstrument.stack_sampler import AsyncState, StackSampler, build_call_stack, get_stack_sampler\nfrom pyinstrument.typing import LiteralStr, TypeAlias\nfrom pyinstrument.util import file_supports_color, file_supports_unicode\n\n# pyright: strict\n\n\nclass ActiveProfilerSession:\n frame_records: list[tuple[list[str], float]]\n\n def __init__(\n self,\n start_time: float,\n start_process_time: float,\n start_call_stack: list[str],\n target_description: str,\n interval: float,\n ) -> None:\n self.start_time = start_time\n self.start_process_time = start_process_time\n self.start_call_stack = start_call_stack\n self.frame_records = []\n self.target_description = target_description\n self.interval = interval\n\n\nAsyncMode: TypeAlias = LiteralStr[\"enabled\", \"disabled\", \"strict\"]\n\n\nclass Profiler:\n \"\"\"\n The profiler - this is the main way to use pyinstrument.\n \"\"\"\n\n _last_session: Session | None\n _active_session: ActiveProfilerSession | None\n _interval: float\n _async_mode: AsyncMode\n use_timing_thread: bool | None\n\n def __init__(\n self,\n interval: float = 0.001,\n async_mode: AsyncMode = \"enabled\",\n use_timing_thread: bool | None = None,\n ):\n \"\"\"\n Note the profiling will not start until :func:`start` is called.\n\n :param interval: See :attr:`interval`.\n :param async_mode: See :attr:`async_mode`.\n :param use_timing_thread: If True, the profiler will use a separate\n thread to keep track of time. This is useful if you're on a system\n where getting the time has significant overhead.\n \"\"\"\n self._interval = interval\n self._last_session = None\n self._active_session = None\n self._async_mode = async_mode\n self.use_timing_thread = use_timing_thread\n\n @property\n def interval(self) -> float:\n \"\"\"\n The minimum time, in seconds, between each stack sample. This translates into the\n resolution of the sampling.\n \"\"\"\n return self._interval\n\n @property\n def async_mode(self) -> AsyncMode:\n \"\"\"\n Configures how this Profiler tracks time in a program that uses\n async/await.\n\n ``enabled``\n When this profiler sees an ``await``, time is logged in the function\n that awaited, rather than observing other coroutines or the event\n loop.\n\n ``disabled``\n This profiler doesn't attempt to track ``await``. In a program that\n uses async/await, this will interleave other coroutines and event\n loop machinery in the profile. Use this option if async support is\n causing issues in your use case, or if you want to run multiple\n profilers at once.\n\n ``strict``\n Instructs the profiler to only profile the current\n `async context `_.\n Frames that are observed in an other context are ignored, tracked\n instead as ````.\n \"\"\"\n return self._async_mode\n\n @property\n def last_session(self) -> Session | None:\n \"\"\"\n The previous session recorded by the Profiler.\n \"\"\"\n return self._last_session\n\n def start(\n self, caller_frame: types.FrameType | None = None, target_description: str | None = None\n ):\n \"\"\"\n Instructs the profiler to start - to begin observing the program's execution and recording\n frames.\n\n The normal way to invoke ``start()`` is with a new instance, but you can restart a Profiler\n that was previously running, too. The sessions are combined.\n\n :param caller_frame: Set this to override the default behaviour of treating the caller of\n ``start()`` as the 'start_call_stack' - the instigator of the profile. Most\n renderers will trim the 'root' from the call stack up to this frame, to\n present a simpler output.\n\n You might want to set this to ``inspect.currentframe().f_back`` if you are\n writing a library that wraps pyinstrument.\n \"\"\"\n\n if caller_frame is None:\n caller_frame = inspect.currentframe().f_back # type: ignore\n\n if target_description is None:\n if caller_frame is None:\n target_description = \"Profile at unknown location\"\n else:\n target_description = \"Profile at {}:{}\".format(\n caller_frame.f_code.co_filename, caller_frame.f_lineno\n )\n\n if self.is_running:\n raise ValueError(\"Profiler is already running.\")\n\n try:\n self._active_session = ActiveProfilerSession(\n start_time=time.time(),\n start_process_time=process_time(),\n start_call_stack=build_call_stack(caller_frame, \"initial\", None),\n target_description=target_description,\n interval=self.interval,\n )\n\n use_async_context = self.async_mode != \"disabled\"\n get_stack_sampler().subscribe(\n self._sampler_saw_call_stack,\n desired_interval=self.interval,\n use_async_context=use_async_context,\n use_timing_thread=self.use_timing_thread,\n )\n except:\n self._active_session = None\n raise\n\n def stop(self) -> Session:\n \"\"\"\n Stops the profiler observing, and sets :attr:`last_session`\n to the captured session.\n\n :return: The captured session.\n \"\"\"\n if not self._active_session:\n raise RuntimeError(\"This profiler is not currently running.\")\n\n try:\n get_stack_sampler().unsubscribe(self._sampler_saw_call_stack)\n except StackSampler.SubscriberNotFound:\n raise RuntimeError(\n \"Failed to stop profiling. Make sure that you start/stop profiling on the same thread.\"\n )\n\n cpu_time = process_time() - self._active_session.start_process_time\n\n active_session = self._active_session\n self._active_session = None\n\n session = Session(\n frame_records=active_session.frame_records,\n start_time=active_session.start_time,\n duration=time.time() - active_session.start_time,\n min_interval=active_session.interval,\n max_interval=active_session.interval,\n sample_count=len(active_session.frame_records),\n target_description=active_session.target_description,\n start_call_stack=active_session.start_call_stack,\n cpu_time=cpu_time,\n sys_path=sys.path,\n sys_prefixes=Session.current_sys_prefixes(),\n )\n\n if self.last_session is not None:\n # include the previous session's data too\n session = Session.combine(self.last_session, session)\n\n self._last_session = session\n\n return session\n\n @property\n def is_running(self):\n \"\"\"\n Returns `True` if this profiler is running - i.e. observing the program execution.\n \"\"\"\n return self._active_session is not None\n\n def reset(self):\n \"\"\"\n Resets the Profiler, clearing the `last_session`.\n \"\"\"\n if self.is_running:\n self.stop()\n\n self._last_session = None\n\n def __enter__(self):\n \"\"\"\n Context manager support.\n\n Profilers can be used in `with` blocks! See this example:\n\n .. code-block:: python\n\n with Profiler() as p:\n # your code here...\n do_some_work()\n\n # profiling has ended. let's print the output.\n p.print()\n \"\"\"\n self.start(caller_frame=inspect.currentframe().f_back) # type: ignore\n return self\n\n def __exit__(self, *args: Any):\n self.stop()\n\n # pylint: disable=W0613\n def _sampler_saw_call_stack(\n self,\n call_stack: list[str],\n time_since_last_sample: float,\n async_state: AsyncState | None,\n ):\n if not self._active_session:\n raise RuntimeError(\n \"Received a call stack without an active session. Please file an issue on pyinstrument Github describing how you made this happen!\"\n )\n\n if (\n async_state\n and async_state.state == \"out_of_context_awaited\"\n and self._async_mode in [\"enabled\", \"strict\"]\n ):\n awaiting_coroutine_stack = async_state.info\n self._active_session.frame_records.append(\n (\n awaiting_coroutine_stack + [AWAIT_FRAME_IDENTIFIER],\n time_since_last_sample,\n )\n )\n elif (\n async_state\n and async_state.state == \"out_of_context_unknown\"\n and self._async_mode == \"strict\"\n ):\n context_exit_frame = async_state.info\n self._active_session.frame_records.append(\n (\n context_exit_frame + [OUT_OF_CONTEXT_FRAME_IDENTIFIER],\n time_since_last_sample,\n )\n )\n else:\n # regular sync code\n self._active_session.frame_records.append((call_stack, time_since_last_sample))\n\n def print(\n self,\n file: IO[str] = sys.stdout,\n *,\n unicode: bool | None = None,\n color: bool | None = None,\n show_all: bool = False,\n timeline: bool = False,\n time: LiteralStr[\"seconds\", \"percent_of_total\"] = \"seconds\",\n flat: bool = False,\n flat_time: FlatTimeMode = \"self\",\n short_mode: bool = False,\n processor_options: dict[str, Any] | None = None,\n ):\n \"\"\"print(file=sys.stdout, *, unicode=None, color=None, show_all=False, timeline=False, time='seconds', flat=False, flat_time='self', short_mode=False, processor_options=None)\n\n Print the captured profile to the console, as rendered by :class:`renderers.ConsoleRenderer`\n\n :param file: the IO stream to write to. Could be a file descriptor or sys.stdout, sys.stderr. Defaults to sys.stdout.\n\n See :class:`renderers.ConsoleRenderer` for the other parameters.\n \"\"\"\n if unicode is None:\n unicode = file_supports_unicode(file)\n if color is None:\n color = file_supports_color(file)\n\n print(\n self.output_text(\n unicode=unicode,\n color=color,\n show_all=show_all,\n timeline=timeline,\n time=time,\n flat=flat,\n flat_time=flat_time,\n short_mode=short_mode,\n processor_options=processor_options,\n ),\n file=file,\n )\n\n def output_text(\n self,\n unicode: bool = False,\n color: bool = False,\n show_all: bool = False,\n timeline: bool = False,\n time: LiteralStr[\"seconds\", \"percent_of_total\"] = \"seconds\",\n flat: bool = False,\n flat_time: FlatTimeMode = \"self\",\n short_mode: bool = False,\n processor_options: dict[str, Any] | None = None,\n ) -> str:\n \"\"\"\n Return the profile output as text, as rendered by :class:`ConsoleRenderer`\n\n See :class:`renderers.ConsoleRenderer` for parameter description.\n \"\"\"\n return self.output(\n renderer=renderers.ConsoleRenderer(\n unicode=unicode,\n color=color,\n show_all=show_all,\n timeline=timeline,\n time=time,\n flat=flat,\n flat_time=flat_time,\n short_mode=short_mode,\n processor_options=processor_options,\n )\n )\n\n def output_html(\n self,\n resample_interval: float | None = None,\n ) -> str:\n \"\"\"\n Return the profile output as HTML, as rendered by :class:`HTMLRenderer`\n\n See :class:`renderers.HTMLRenderer` for parameter description.\n \"\"\"\n return self.output(renderer=renderers.HTMLRenderer(resample_interval=resample_interval))\n\n def write_html(\n self,\n path: str | os.PathLike[str],\n timeline: bool = False,\n show_all: bool = False,\n resample_interval: float | None = None,\n ):\n \"\"\"\n Writes the profile output as HTML to a file, as rendered by :class:`HTMLRenderer`\n \"\"\"\n file = Path(path)\n file.write_text(\n self.output(\n renderer=renderers.HTMLRenderer(\n timeline=timeline, show_all=show_all, resample_interval=resample_interval\n )\n ),\n encoding=\"utf-8\",\n )\n\n def open_in_browser(self, timeline: bool = False, resample_interval: float | None = None):\n \"\"\"\n Opens the last profile session in your web browser.\n \"\"\"\n session = self._get_last_session_or_fail()\n\n return renderers.HTMLRenderer(\n timeline=timeline, resample_interval=resample_interval\n ).open_in_browser(session)\n\n def output(self, renderer: renderers.Renderer) -> str:\n \"\"\"\n Returns the last profile session, as rendered by ``renderer``.\n\n :param renderer: The renderer to use.\n \"\"\"\n session = self._get_last_session_or_fail()\n\n return renderer.render(session)\n\n def _get_last_session_or_fail(self) -> Session:\n if self.is_running:\n raise Exception(\"can't render profile output because this profiler is still running\")\n\n if self.last_session is None:\n raise Exception(\n \"can't render profile output because this profiler has not completed a profile session yet\"\n )\n\n return self.last_session\n" }, { "path": "pyinstrument/py.typed", "content": "" }, { "path": "pyinstrument/renderers/__init__.py", "content": "from pyinstrument.renderers.base import FrameRenderer, Renderer\nfrom pyinstrument.renderers.console import ConsoleRenderer\nfrom pyinstrument.renderers.html import HTMLRenderer\nfrom pyinstrument.renderers.jsonrenderer import JSONRenderer\nfrom pyinstrument.renderers.pstatsrenderer import PstatsRenderer\nfrom pyinstrument.renderers.session import SessionRenderer\nfrom pyinstrument.renderers.speedscope import SpeedscopeRenderer\n\n__all__ = [\n \"ConsoleRenderer\",\n \"FrameRenderer\",\n \"HTMLRenderer\",\n \"JSONRenderer\",\n \"PstatsRenderer\",\n \"Renderer\",\n \"SessionRenderer\",\n \"SpeedscopeRenderer\",\n]\n" }, { "path": "pyinstrument/renderers/base.py", "content": "from __future__ import annotations\n\nimport contextlib\nfrom typing import Any, List\n\nfrom pyinstrument import processors\nfrom pyinstrument.frame import Frame\nfrom pyinstrument.session import Session\n\n# pyright: strict\n\n\nProcessorList = List[processors.ProcessorType]\n\n\nclass Renderer:\n \"\"\"\n Abstract base class for renderers.\n \"\"\"\n\n output_file_extension: str = \"txt\"\n \"\"\"\n Renderer output file extension without dot prefix. The default value is `txt`\n \"\"\"\n\n output_is_binary: bool = False\n \"\"\"\n Whether the output of this renderer is binary data. The default value is `False`.\n \"\"\"\n\n def __init__(self):\n pass\n\n def render(self, session: Session) -> str:\n \"\"\"\n Return a string that contains the rendered form of `frame`.\n \"\"\"\n raise NotImplementedError()\n\n class MisconfigurationError(Exception):\n pass\n\n\nclass FrameRenderer(Renderer):\n \"\"\"\n An abstract base class for renderers that process Frame objects using\n processor functions. Provides a common interface to manipulate the\n processors before rendering.\n \"\"\"\n\n processors: ProcessorList\n \"\"\"\n Processors installed on this renderer. This property is defined on the\n base class to provide a common way for users to add and\n manipulate them before calling :func:`render`.\n \"\"\"\n\n processor_options: dict[str, Any]\n \"\"\"\n Dictionary containing processor options, passed to each processor.\n \"\"\"\n\n show_all: bool\n timeline: bool\n\n def __init__(\n self,\n show_all: bool = False,\n timeline: bool = False,\n processor_options: dict[str, Any] | None = None,\n ):\n \"\"\"\n :param show_all: Don't hide or filter frames - show everything that pyinstrument captures.\n :param timeline: Instead of aggregating time, leave the samples in chronological order.\n :param processor_options: A dictionary of processor options.\n \"\"\"\n # processors is defined on the base class to provide a common way for users to\n # add to and manipulate them before calling render()\n self.processors = self.default_processors()\n self.processor_options = processor_options or {}\n\n self.show_all = show_all\n self.timeline = timeline\n\n if show_all:\n for p in (\n processors.group_library_frames_processor,\n processors.remove_importlib,\n processors.remove_irrelevant_nodes,\n processors.remove_tracebackhide,\n # note: we're not removing these processors\n # processors.remove_unnecessary_self_time_nodes,\n # (still hide the inner pyinstrument synthetic frames)\n # processors.remove_first_pyinstrument_frames_processor,\n # (still hide the outer pyinstrument calling frames)\n ):\n with contextlib.suppress(ValueError):\n # don't care if the processor isn't in the list\n self.processors.remove(p)\n\n if timeline:\n with contextlib.suppress(ValueError):\n self.processors.remove(processors.aggregate_repeated_calls)\n\n def default_processors(self) -> ProcessorList:\n \"\"\"\n Return a list of processors that this renderer uses by default.\n \"\"\"\n raise NotImplementedError()\n\n def preprocess(self, root_frame: Frame | None) -> Frame | None:\n frame = root_frame\n for processor in self.processors:\n frame = processor(frame, options=self.processor_options)\n return frame\n\n def render(self, session: Session) -> str:\n \"\"\"\n Return a string that contains the rendered form of `frame`.\n \"\"\"\n raise NotImplementedError()\n" }, { "path": "pyinstrument/renderers/console.py", "content": "from __future__ import annotations\n\nimport math\nimport re\nimport textwrap\nimport time\nfrom typing import Any, Dict, List, Tuple\n\nimport pyinstrument\nfrom pyinstrument import processors\nfrom pyinstrument.frame import Frame, FrameGroup\nfrom pyinstrument.renderers.base import FrameRenderer, ProcessorList, Renderer\nfrom pyinstrument.session import Session\nfrom pyinstrument.typing import LiteralStr\nfrom pyinstrument.util import truncate\n\n# pyright: strict\n\nFlatTimeMode = LiteralStr[\"self\", \"total\"]\n\n\nclass ConsoleRenderer(FrameRenderer):\n \"\"\"\n Produces text-based output, suitable for text files or ANSI-compatible\n consoles.\n \"\"\"\n\n def __init__(\n self,\n show_all: bool = False,\n timeline: bool = False,\n processor_options: dict[str, Any] | None = None,\n unicode: bool = False,\n color: bool = False,\n flat: bool = False,\n time: LiteralStr[\"seconds\", \"percent_of_total\"] = \"seconds\",\n flat_time: FlatTimeMode = \"self\",\n short_mode: bool = False,\n ) -> None:\n \"\"\"\n :param unicode: Use unicode, like box-drawing characters in the output.\n :param color: Enable color support, using ANSI color sequences.\n :param flat: Display a flat profile instead of a call graph.\n :param time: How to display the duration of each frame - ``'seconds'`` or ``'percent_of_total'``\n :param flat_time: Show ``'self'`` time or ``'total'`` time (including children) in flat profile.\n :param short_mode: Display a short version of the output.\n :param show_all: See :class:`FrameRenderer`.\n :param timeline: See :class:`FrameRenderer`.\n :param processor_options: See :class:`FrameRenderer`.\n \"\"\"\n super().__init__(show_all=show_all, timeline=timeline, processor_options=processor_options)\n self.unicode = unicode\n self.color = color\n self.flat = flat\n self.time = time\n self.flat_time = flat_time\n self.short_mode = short_mode\n\n if self.flat and self.timeline:\n raise Renderer.MisconfigurationError(\"Cannot use timeline and flat options together.\")\n\n self.colors = self.colors_enabled if color else self.colors_disabled\n\n def render(self, session: Session) -> str:\n result = self.render_preamble(session)\n\n frame = self.preprocess(session.root_frame())\n indent = \". \" if self.short_mode else \"\"\n precision = math.ceil(-math.log10(min(max(1e-9, session.max_interval), 1)))\n\n if frame is None:\n result += f\"{indent}No samples were recorded.\\n\"\n else:\n self.root_frame = frame\n\n if self.flat:\n result += self.render_frame_flat(self.root_frame, precision=precision)\n else:\n result += self.render_frame(\n self.root_frame, precision=precision, indent=indent, child_indent=indent\n )\n\n result += f\"{indent}\\n\"\n\n if self.short_mode:\n result += \".\" * 53 + \"\\n\\n\"\n\n return result\n\n # pylint: disable=W1401\n def render_preamble(self, session: Session) -> str:\n if self.short_mode:\n return textwrap.dedent(\n f\"\"\"\n pyinstrument ........................................\n .\n . {session.target_description}\n .\n \"\"\"\n )\n\n lines = [\n r\"\",\n r\" _ ._ __/__ _ _ _ _ _/_ \",\n r\" /_//_/// /_\\ / //_// / //_'/ // \",\n r\"/ _/ {:>20}\".format(\"v\" + pyinstrument.__version__),\n ]\n\n lines[1] += \" Recorded: {:<9}\".format(\n time.strftime(\"%X\", time.localtime(session.start_time))\n )\n lines[2] += f\" Duration: {session.duration:<9.3f}\"\n lines[1] += f\" Samples: {session.sample_count}\"\n lines[2] += f\" CPU time: {session.cpu_time:.3f}\"\n\n lines.append(\"\")\n lines.append(session.target_description)\n lines.append(\"\")\n lines.append(\"\")\n\n return \"\\n\".join(lines)\n\n def should_render_frame(self, frame: Frame) -> bool:\n if frame.group and not self.should_ignore_group(frame.group):\n return self.should_render_frame_in_group(frame)\n return True\n\n def should_render_frame_in_group(self, frame: Frame) -> bool:\n # Only render the root frame, or frames that are significant\n assert frame.group\n return (\n frame.group.root == frame\n or frame.total_self_time > 0.2 * self.root_frame.time\n or frame in frame.group.exit_frames\n )\n\n def should_ignore_group(self, group: FrameGroup) -> bool:\n \"\"\"\n If a group is ignored, its frames are all printed - they're not hidden.\n \"\"\"\n hidden_frames = [f for f in group.frames if not self.should_render_frame_in_group(f)]\n # don't bother printing groups with one/zero hidden frames\n return len(hidden_frames) < 2\n\n def group_description(self, group: FrameGroup) -> str:\n hidden_frames = [f for f in group.frames if not self.should_render_frame(f)]\n libraries = self.libraries_for_frames(hidden_frames)\n return \"[{count} frames hidden] {c.faint}{libraries}{c.end}\\n\".format(\n count=len(hidden_frames),\n libraries=truncate(\", \".join(libraries), 40),\n c=self.colors,\n )\n\n def libraries_for_frames(self, frames: list[Frame]) -> list[str]:\n libraries: list[str] = []\n for frame in frames:\n if frame.file_path_short:\n library = re.split(r\"[\\\\/\\.]\", frame.file_path_short, maxsplit=1)[0]\n\n if library and library not in libraries:\n libraries.append(library)\n return libraries\n\n def render_frame(\n self, frame: Frame, precision: int, indent: str = \"\", child_indent: str = \"\"\n ) -> str:\n if self.should_render_frame(frame):\n result = f\"{indent}{self.frame_description(frame, precision=precision)}\\n\"\n\n if self.unicode:\n indents = {\"├\": \"├─ \", \"│\": \"│ \", \"└\": \"└─ \", \" \": \" \"}\n else:\n indents = {\"├\": \"|- \", \"│\": \"| \", \"└\": \"`- \", \" \": \" \"}\n\n if (\n frame.group\n and frame.group.root == frame\n and not self.should_ignore_group(frame.group)\n ):\n result += f\"{child_indent} {self.group_description(frame.group)}\"\n for key in indents:\n indents[key] = \" \"\n else:\n result = \"\"\n indents = {\"├\": \"\", \"│\": \"\", \"└\": \"\", \" \": \"\"}\n\n if frame.children:\n children_to_be_rendered_indices = [\n i for i, f in enumerate(frame.children) if self.should_render_frame(f)\n ]\n last_rendered_child_index = (\n children_to_be_rendered_indices[-1] if children_to_be_rendered_indices else -1\n )\n\n for i, child in enumerate(frame.children):\n if i < last_rendered_child_index:\n c_indent = child_indent + indents[\"├\"]\n cc_indent = child_indent + indents[\"│\"]\n else:\n c_indent = child_indent + indents[\"└\"]\n cc_indent = child_indent + indents[\" \"]\n result += self.render_frame(\n child, precision=precision, indent=c_indent, child_indent=cc_indent\n )\n\n return result\n\n def render_frame_flat(self, frame: Frame, precision: int) -> str:\n def walk(frame: Frame):\n frame_id_to_time[frame.identifier] = (\n frame_id_to_time.get(frame.identifier, 0) + frame.total_self_time\n if self.flat_time == \"self\"\n else frame.time\n )\n\n frame_id_to_frame[frame.identifier] = frame\n\n for child in frame.children:\n walk(child)\n\n frame_id_to_time: Dict[str, float] = {}\n frame_id_to_frame: Dict[str, Frame] = {}\n\n walk(frame)\n\n id_time_pairs: List[Tuple[str, float]] = sorted(\n frame_id_to_time.items(), key=(lambda item: item[1]), reverse=True\n )\n\n if not self.show_all:\n # remove nodes that represent less than 0.1% of the total time\n id_time_pairs = [\n pair for pair in id_time_pairs if pair[1] / self.root_frame.time > 0.001\n ]\n\n result = \"\"\n\n for frame_id, self_time in id_time_pairs:\n result += self.frame_description(\n frame_id_to_frame[frame_id], precision=precision, override_time=self_time\n )\n result += \"\\n\"\n\n return result\n\n def frame_description(\n self, frame: Frame, *, precision: int = 3, override_time: float | None = None\n ) -> str:\n time = override_time if override_time is not None else frame.time\n time_color = self._ansi_color_for_time(time)\n\n if self.time == \"percent_of_total\":\n time_str = f\"{self.frame_proportion_of_total_time(time) * 100:.1f}%\"\n else:\n time_str = f\"{time:.{precision}f}\"\n\n value_str = f\"{time_color}{time_str}{self.colors.end}\"\n\n class_name = frame.class_name\n if class_name:\n function_name = f\"{class_name}.{frame.function}\"\n else:\n function_name = frame.function\n function_color = self._ansi_color_for_name(frame)\n function_str = f\"{function_color}{function_name}{self.colors.end}\"\n\n code_position_short = frame.code_position_short()\n if code_position_short:\n code_position_str = f\"{self.colors.faint}{code_position_short}{self.colors.end}\"\n else:\n code_position_str = \"\"\n\n return f\"{value_str} {function_str} {code_position_str}\"\n\n def frame_proportion_of_total_time(self, time: float) -> float:\n if self.root_frame.time == 0:\n return 1\n return time / self.root_frame.time\n\n def _ansi_color_for_time(self, time: float) -> str:\n proportion_of_total = self.frame_proportion_of_total_time(time)\n\n if proportion_of_total > 0.6:\n return self.colors.red\n elif proportion_of_total > 0.2:\n return self.colors.yellow\n elif proportion_of_total > 0.05:\n return self.colors.green\n else:\n return self.colors.bright_green + self.colors.faint\n\n def _ansi_color_for_name(self, frame: Frame) -> str:\n if frame.is_application_code:\n return self.colors.bg_dark_blue_255 + self.colors.white_255\n else:\n return \"\"\n\n def default_processors(self) -> ProcessorList:\n return [\n processors.remove_importlib,\n processors.remove_tracebackhide,\n processors.merge_consecutive_self_time,\n processors.aggregate_repeated_calls,\n processors.remove_irrelevant_nodes,\n processors.remove_unnecessary_self_time_nodes,\n processors.remove_first_pyinstrument_frames_processor,\n processors.group_library_frames_processor,\n ]\n\n class colors_enabled:\n red = \"\\033[31m\"\n green = \"\\033[32m\"\n yellow = \"\\033[33m\"\n blue = \"\\033[34m\"\n cyan = \"\\033[36m\"\n bright_green = \"\\033[92m\"\n white = \"\\033[37m\\033[97m\"\n\n bg_dark_blue_255 = \"\\033[48;5;24m\"\n white_255 = \"\\033[38;5;15m\"\n\n bold = \"\\033[1m\"\n faint = \"\\033[2m\"\n\n end = \"\\033[0m\"\n\n class colors_disabled:\n red = \"\"\n green = \"\"\n yellow = \"\"\n blue = \"\"\n cyan = \"\"\n bright_green = \"\"\n white = \"\"\n\n bg_dark_blue_255 = \"\"\n white_255 = \"\"\n\n bold = \"\"\n faint = \"\"\n\n end = \"\"\n" }, { "path": "pyinstrument/renderers/html.py", "content": "from __future__ import annotations\n\nimport codecs\nimport json\nimport sys\nimport tempfile\nimport urllib.parse\nimport warnings\nimport webbrowser\nfrom pathlib import Path\nfrom typing import Any\n\nfrom pyinstrument.renderers.base import FrameRenderer, ProcessorList, Renderer\nfrom pyinstrument.session import Session\n\n# pyright: strict\n\n\nclass HTMLRenderer(Renderer):\n \"\"\"\n Renders a rich, interactive web page, as a string of HTML.\n \"\"\"\n\n output_file_extension = \"html\"\n\n preprocessors: ProcessorList\n \"\"\"\n Preprocessors installed on this renderer. This property is similar to\n :attr:`FrameRenderer.processors`, but all pyinstrument's processing is\n done in the webapp, so these are only used to modify the JSON data sent to\n the webapp. For example, you might want to use preprocessors to remove\n unneeded frames from the data to reduce the size of the HTML file.\n \"\"\"\n\n preprocessor_options: dict[str, Any]\n \"\"\"\n Options to pass to the preprocessors, like :attr:`FrameRenderer.processor_options`.\n \"\"\"\n\n def __init__(\n self,\n *,\n resample_interval: float | None = None,\n show_all: bool = False,\n timeline: bool = False,\n ):\n \"\"\"\n :param resample_interval: Controls how the renderer deals with very large sessions. The typically struggles with sessions of more than 100,000 samples. If the session has more samples than this number, it will be automatically resampled to a coarser interval. You can control this interval with this parameter. If None (the default), the interval will be chosen automatically. Setting this to 0 disables resampling.\n \"\"\"\n super().__init__()\n if show_all:\n warnings.warn(\n f\"the show_all option is deprecated on the HTML renderer, and has no effect. Use the view options in the webpage instead.\",\n DeprecationWarning,\n stacklevel=3,\n )\n if timeline:\n warnings.warn(\n f\"timeline is deprecated on the HTML renderer, and has no effect. Use the timeline view in the webpage instead.\",\n DeprecationWarning,\n stacklevel=3,\n )\n\n self.resample_interval = resample_interval\n\n # These settings are passed down to JSONForHTMLRenderer, and can be\n # used to modify its output. E.g. they can be used to lower the size\n # of the output file, by excluding function calls which take a small\n # fraction of total time.\n self.preprocessors = []\n self.preprocessor_options = {}\n\n def render(self, session: Session):\n if len(session.frame_records) > 100_000:\n original_session = session\n resample_interval = self.resample_interval\n if resample_interval is None:\n # auto mode: choose an interval that gives us 0.01% resolution\n resample_interval = session.duration / 10000\n\n if resample_interval > 0:\n session = original_session.resample(interval=resample_interval)\n\n while len(session.frame_records) > 100_000:\n resample_interval *= 2\n session = original_session.resample(interval=resample_interval)\n print(\n f\"pyinstrument: session has {len(original_session.frame_records)} samples, which is too many for the HTML renderer to handle. Resampled to {len(session.frame_records)} samples with interval {resample_interval:.6f} seconds. Set the renderer option resample_interval to control this behaviour.\",\n file=sys.stderr,\n )\n\n json_renderer = JSONForHTMLRenderer()\n json_renderer.processors = self.preprocessors\n json_renderer.processor_options = self.preprocessor_options\n session_json = json_renderer.render(session)\n\n resources_dir = Path(__file__).parent / \"html_resources\"\n\n js_file = resources_dir / \"app.js\"\n css_file = resources_dir / \"app.css\"\n\n if not js_file.exists() or not css_file.exists():\n raise RuntimeError(\n \"Could not find app.js / app.css. Perhaps you need to run bin/build_js_bundle.py?\"\n )\n\n js = js_file.read_text(encoding=\"utf-8\")\n css = css_file.read_text(encoding=\"utf-8\")\n\n page = f\"\"\"\n \n \n \n \n \n
\n\n \n \n\n \n \n \n \"\"\"\n\n return page\n\n def open_in_browser(self, session: Session, output_filename: str | None = None):\n \"\"\"\n Open the rendered HTML in a webbrowser.\n\n If output_filename=None (the default), a tempfile is used.\n\n The filename of the HTML file is returned.\n\n \"\"\"\n if output_filename is None:\n output_file = tempfile.NamedTemporaryFile(suffix=\".html\", delete=False)\n output_filename = output_file.name\n with codecs.getwriter(\"utf-8\")(output_file) as f:\n f.write(self.render(session))\n else:\n with codecs.open(output_filename, \"w\", \"utf-8\") as f:\n f.write(self.render(session))\n\n url = urllib.parse.urlunparse((\"file\", \"\", output_filename, \"\", \"\", \"\"))\n webbrowser.open(url)\n return output_filename\n\n\nclass JSONForHTMLRenderer(FrameRenderer):\n \"\"\"\n The HTML takes a special form of JSON-encoded session, which includes\n an unprocessed frame tree rather than a list of frame records. This\n reduces the amount of parsing code that must be included in the\n Typescript renderer.\n \"\"\"\n\n output_file_extension = \"json\"\n\n def default_processors(self) -> ProcessorList:\n return []\n\n def render(self, session: Session) -> str:\n session_json = session.to_json(include_frame_records=False)\n session_json_str = json.dumps(session_json)\n root_frame = session.root_frame()\n root_frame = self.preprocess(root_frame)\n frame_tree_json_str = root_frame.to_json_str() if root_frame else \"null\"\n return '{\"session\": %s, \"frame_tree\": %s}' % (session_json_str, frame_tree_json_str)\n" }, { "path": "pyinstrument/renderers/html_resources/app.css", "content": "html,body{background-color:#303538;color:#fff;padding:0;margin:0}.margins{padding:0 30px}label{-webkit-user-select:none;user-select:none}label *{-webkit-user-select:initial;user-select:initial}.view-options-call-stack.svelte-1pecl4m.svelte-1pecl4m{padding:6px 9px}.option.svelte-1pecl4m.svelte-1pecl4m{display:grid;grid-template-columns:auto 1fr;align-items:start;padding-left:1px;margin-bottom:3px}.option.svelte-1pecl4m .description.svelte-1pecl4m{font-size:12px;color:#999;grid-column:2/3}.option-group.svelte-1pecl4m.svelte-1pecl4m{margin-bottom:10px}.option-group.svelte-1pecl4m .name.svelte-1pecl4m{margin-bottom:4px}.mini-input-grid.svelte-1pecl4m.svelte-1pecl4m{display:grid;grid-template-columns:auto 1fr;gap:5px;align-items:baseline;margin-top:3px;margin-bottom:2px}.mini-input-grid.svelte-1pecl4m label.svelte-1pecl4m{font-weight:600}input.svelte-1pecl4m.svelte-1pecl4m{font-family:Source Code Pro,Roboto Mono,Consolas,Monaco,monospace;font-size-adjust:.486094;border-radius:3px;background:#4e5255;padding:1px 5px;font-size:12px;border:1px solid #4e5255;color:#ccc}input.svelte-1pecl4m.svelte-1pecl4m:focus-visible{outline:1px solid #abb2b7}input[type=number].svelte-1pecl4m.svelte-1pecl4m::-webkit-inner-spin-button{-webkit-appearance:none}.view-options-timeline.svelte-vsz8zm{padding:6px 9px}.view-options.svelte-rpk7lo{position:absolute;z-index:1;right:0}.box.svelte-rpk7lo{width:90vw;max-width:282px;height:max-content;max-height:calc(100vh - 100px);position:absolute;right:0;top:calc(100% + 4px);border-radius:5px;border:1px solid #4e5255;background:#2a2f32;box-shadow:0 2px 14px -5px #00000040;overflow:hidden;display:flex;flex-direction:column}.title-row.svelte-rpk7lo{padding:5px 9px;font-size:12px;font-weight:600;background-color:#3c4144}.body.svelte-rpk7lo{overflow-y:auto;flex-basis:content;flex-shrink:1}.header.svelte-qdxst2.svelte-qdxst2{background:#292f32;font-size:14px;padding:9px 0}.row.svelte-qdxst2.svelte-qdxst2{display:flex;align-items:center;gap:10px}.logo.svelte-qdxst2.svelte-qdxst2{margin:0 -3px 0 -6px}.layout.svelte-qdxst2.svelte-qdxst2{flex:1;display:grid;gap:0 10px;grid-template-columns:auto minmax(auto,max-content)}@media (max-width: 800px){.layout.svelte-qdxst2.svelte-qdxst2{grid-template-columns:1fr}}.target-description.svelte-qdxst2.svelte-qdxst2{font-weight:600;margin-bottom:1px}.view-options.svelte-qdxst2.svelte-qdxst2{display:flex;flex-wrap:wrap}.view-options.svelte-qdxst2 label.svelte-qdxst2{margin:0 5px;white-space:nowrap}.metrics.svelte-qdxst2.svelte-qdxst2{grid-row:span 2;text-align:right;align-items:end;min-width:min-content}@media (max-width: 800px){.metrics.svelte-qdxst2.svelte-qdxst2{text-align:left}.metrics.svelte-qdxst2 br.svelte-qdxst2{display:none}}.metric.svelte-qdxst2.svelte-qdxst2{display:inline-block;white-space:nowrap;margin-left:2px}@media (max-width: 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r=Math.ceil(s)-3,o=c=>Ne(c,{from:[s,s-3],to:[.71,0],clamp:!0});for(let c=r;c.01){t.globalAlpha=h,t.font='13px \"Source Sans Pro\", sans-serif';let g=d.toFixed(c);g==\"0\"&&(g=\"0s\");let w=m+10;t.fillText(g,v+3,w);let E=this.height+lt+10-this.yOffset;Ethis.width)return;if(t.fillStyle=this.colorForFrame(n),t.globalAlpha=n.isApplicationCode?1:.5,r<2){t.fillRect(s,l,r,o);return}let d=this.frameName(n);const v=Math.floor(r/3.3);if(d.length>v&&(d=d.substring(0,v)),d.length==0){t.fillRect(s,l,r,o);return}t.save(),t.beginPath(),t.rect(s,l,r,o),t.fill(),t.clip(),t.font='13px \"Source Sans Pro\", sans-serif',t.fillStyle=\"white\";let p=s;p<0&&(p=0),t.fillText(d,p+2,l+13),t.restore()}_assignLibraryOrder(){const t={};for(const s of this.frames){const r=s.frame.library??\"\";t[r]=(t[r]||0)+s.frame.time}const n=Object.keys(t);n.sort((s,l)=>t[l]-t[s]),this._libraryOrder=n}colorForLibraryIndex(t){if(this._colors[t]!==void 0)return this._colors[t];const n=Math.pow(2,Math.ceil(Math.log2(t+1))),l=(2*t-n+1)/n,r=Gi(zn,l);return this._colors[t]=r,r}libraryIndexForFrame(t){this._libraryOrder||this._assignLibraryOrder();const n=t.library||\"\";let s=this._libraryOrder.indexOf(n);return s===-1&&(s=this._libraryOrder.length,this._libraryOrder.push(n)),s}colorForFrame(t){const n=this.libraryIndexForFrame(t);return this.colorForLibraryIndex(n)}get frameMaxT(){return this._frameMaxT===void 0&&(this._frameMaxT=this.frames.reduce((t,n)=>Math.max(t,n.frame.startTime+n.frame.time),0)),this._frameMaxT}get maxYOffset(){return Math.max(0,(this.maxDepth+1)*ci+lt*2+ui-this.height)}get minZoom(){return(this.width-2*Ie)/this.frameMaxT}get maxZoom(){return 6666666666666667e-8}fitContents(){this.startT=0,this.zoom=this.minZoom,this.isZoomedIn=!1}clampViewport(){this.zoomthis.maxZoom&&(this.zoom=this.maxZoom),this.startT<0&&(this.startT=0);const t=this.frameMaxT-(this.width-2*Ie)/this.zoom;this.startT>t&&(this.startT=t),this.yOffset<0&&(this.yOffset=0),this.yOffset>this.maxYOffset&&(this.yOffset=this.maxYOffset)}frameDims(t){const n=t.depth*ci+lt+ui-this.yOffset,s=Bn;let l=this.xForT(t.frame.startTime),o=this.xForT(t.frame.startTime+t.frame.time)-l;return o<1&&(o=1),o>1&&(o-=Ne(o,{from:[1,3],to:[0,1],clamp:!0})),{x:l,y:n,w:o,h:s}}xForT(t){return(t-this.startT)*this.zoom+Ie}tForX(t){return(t-Ie)/this.zoom+this.startT}frameName(t){let n;return t.className?n=`${t.className}.${t.frame.function}`:t.frame.function==\"\"?n=t.filePathShort??t.frame.filePath??\"\":n=t.frame.function,n}frameSelfTime(t){let n=t.frame.time;const s=t.frame.children.filter(l=>!l.isSynthetic);for(const l of s)n-=l.time;return n}hitTest(t){for(const n of this.frames){const{x:s,y:l,w:r,h:o}=this.frameDims(n);if(t.x>=s&&t.x<=s+r&&t.y>=l&&t.y<=l+o)return n}return null}onWheel(t){const n=t.ctrlKey||t.metaKey,s=n?.01:.0023,l=this.tForX(t.offsetX);this.zoom*=1-t.deltaY*s,this.clampViewport(),this.startT=l-(t.offsetX-Ie)/this.zoom,n||(this.startT+=t.deltaX/this.zoom),this.clampViewport(),this.setNeedsRedraw(),t.preventDefault()}onMouseMove(t){const n={x:t.offsetX,y:t.offsetY},s=this.mouseLocation;if(this.mouseLocation=n,s&&this.mouseDownLocation){const l={x:n.x-s.x,y:n.y-s.y};this.startT-=l.x/this.zoom,this.yOffset-=l.y,this.clampViewport()}this.tooltipLocation=n,this.setNeedsRedraw()}onMouseLeave(t){this.mouseLocation=null,this.tooltipLocation=null,this.setNeedsRedraw()}onMouseDown(t){(t.button===0||t.button===1)&&(this.mouseDownLocation={x:t.offsetX,y:t.offsetY},window.addEventListener(\"mouseup\",this.windowMouseUp),this.setNeedsRedraw())}windowMouseUp(t){window.removeEventListener(\"mouseup\",this.windowMouseUp),this.mouseDownLocation=null,this.setNeedsRedraw()}onTouchstart(t){t.preventDefault(),t.stopPropagation();for(const n of Array.from(t.changedTouches))this.touches[n.identifier]={x:n.clientX,y:n.clientY,downT:this.tForX(n.clientX),startDate:Date.now(),downX:n.clientX,downY:n.clientY}}onTouchmove(t){t.preventDefault(),t.stopPropagation();let n=0;for(const l of Array.from(t.changedTouches)){const r=this.touches[l.identifier];r&&(n+=l.clientY-r.y,this.touches[l.identifier]={...r,x:l.clientX,y:l.clientY})}const s=n/Object.keys(this.touches).length;this.yOffset-=s,this.adjustXAxisForTouches(),this.setNeedsRedraw()}onTouchend(t){t.preventDefault(),t.stopPropagation();for(const n of Array.from(t.changedTouches))delete this.touches[n.identifier];this.setNeedsRedraw()}onTouchcancel(t){t.preventDefault(),t.stopPropagation();for(const n of Array.from(t.changedTouches))delete this.touches[n.identifier];this.setNeedsRedraw()}adjustXAxisForTouches(){const t=Object.keys(this.touches).map(Number);if(t.length!=0){if(t.length==1){const n=this.touches[t[0]];this.startT=n.downT-(n.x-Ie)/this.zoom}if(t.length>=2){const n=this.touches[t[0]],s=this.touches[t[1]],l=(s.x-n.x)/(s.downT-n.downT),r=n.downT-(n.x-Ie)/l;this.startT=r,this.zoom=l}this.clampViewport()}}}function qn(i){let e;return{c(){e=f(\"div\"),e.innerHTML=\"\",a(e,\"class\",\"timeline svelte-p2tt1k\")},m(t,n){S(t,e,n),i[6](e)},p:F,i:F,o:F,d(t){t&&L(e),i[6](null)}}}function Un(i,e,t){let n,{session:s}=e;const l=Vt([je],([v])=>({processors:[v.removeImportlib?Ft:null,v.removeTracebackHide?Pt:null,v.removePyinstrument?si:null].filter(h=>h!==null),options:{}}));ge(i,l,v=>t(5,n=v));let r,o=null,c=null;Ii(()=>{c==null||c.destroy()});function d(v){ke[v?\"unshift\":\"push\"](()=>{o=v,t(0,o)})}return i.$$set=v=>{\"session\"in v&&t(2,s=v.session)},i.$$.update=()=>{var v;i.$$.dirty&36&&t(3,r=Qt(((v=s.rootFrame)==null?void 0:v.cloneDeep())??null,n.processors,n.options)),i.$$.dirty&1&&o&&t(4,c=new Wn(o)),i.$$.dirty&24&&r&&c&&c.setRootFrame(r)},[o,l,s,r,c,n,d]}class Yn extends he{constructor(e){super(),de(this,e,Un,qn,re,{session:2})}}function Xn(i){let e,t,n=i[1].viewMode+\"\",s;return{c(){e=f(\"div\"),t=I(\"Unknown view mode: \"),s=I(n),a(e,\"class\",\"error\")},m(l,r){S(l,e,r),u(e,t),u(e,s)},p(l,r){r&2&&n!==(n=l[1].viewMode+\"\")&&_e(s,n)},i:F,o:F,d(l){l&&L(e)}}}function Gn(i){let e,t;return e=new Yn({props:{session:i[0]}}),{c(){we(e.$$.fragment)},m(n,s){ce(e,n,s),t=!0},p(n,s){const l={};s&1&&(l.session=n[0]),e.$set(l)},i(n){t||(D(e.$$.fragment,n),t=!0)},o(n){N(e.$$.fragment,n),t=!1},d(n){ue(e,n)}}}function jn(i){let e,t;return e=new Rn({props:{session:i[0]}}),{c(){we(e.$$.fragment)},m(n,s){ce(e,n,s),t=!0},p(n,s){const l={};s&1&&(l.session=n[0]),e.$set(l)},i(n){t||(D(e.$$.fragment,n),t=!0)},o(n){N(e.$$.fragment,n),t=!1},d(n){ue(e,n)}}}function Zn(i){let e;return{c(){e=f(\"div\"),e.innerHTML='
No samples recorded.
',a(e,\"class\",\"margins\")},m(t,n){S(t,e,n)},p:F,i:F,o:F,d(t){t&&L(e)}}}function Kn(i){let e,t,n,s,l,r,o,c;n=new pn({props:{session:i[0]}});const d=[Zn,jn,Gn,Xn],v=[];function p(m,h){return m[0].rootFrame?m[1].viewMode===\"call-stack\"?1:m[1].viewMode===\"timeline\"?2:3:0}return r=p(i),o=v[r]=d[r](i),{c(){e=f(\"div\"),t=f(\"div\"),we(n.$$.fragment),s=b(),l=f(\"div\"),o.c(),a(t,\"class\",\"header\"),a(l,\"class\",\"body svelte-1vwroj7\"),a(e,\"class\",\"app svelte-1vwroj7\")},m(m,h){S(m,e,h),u(e,t),ce(n,t,null),u(e,s),u(e,l),v[r].m(l,null),c=!0},p(m,[h]){const g={};h&1&&(g.session=m[0]),n.$set(g);let w=r;r=p(m),r===w?v[r].p(m,h):(Oe(),N(v[w],1,1,()=>{v[w]=null}),Ve(),o=v[r],o?o.p(m,h):(o=v[r]=d[r](m),o.c()),D(o,1),o.m(l,null))},i(m){c||(D(n.$$.fragment,m),D(o),c=!0)},o(m){N(n.$$.fragment,m),N(o),c=!1},d(m){m&&L(e),ue(n),v[r].d()}}}function Qn(i,e,t){let n;ge(i,Ge,p=>t(1,n=p));let{session:s}=e;const l=document.createElement(\"link\");l.rel=\"shortcut icon\",l.href=vn,document.head.appendChild(l);const r=document.createElement(\"link\");r.rel=\"preload\",r.as=\"style\",r.onload=()=>{r.rel=\"stylesheet\"},r.href=\"https://fonts.googleapis.com/css?family=Source+Code+Pro:400,600|Source+Sans+Pro:400,600&display=swap\",document.head.appendChild(r);const o=s.rootFrame,c=o==null?void 0:o.time.toLocaleString(void 0,{maximumSignificantDigits:3});let d,v;return(v=/[^\\s/]+(:\\d+)?$/.exec(s.target_description))?d=v[0]:d=s.target_description,document.title=`${c}s - ${d} - pyinstrument`,i.$$set=p=>{\"session\"in p&&t(0,s=p.session)},[s,n]}class Jn extends he{constructor(e){super(),de(this,e,Qn,Kn,re,{session:0})}}class es{constructor(e){T(this,\"startTime\");T(this,\"duration\");T(this,\"minInterval\");T(this,\"maxInterval\");T(this,\"precision\");T(this,\"sampleCount\");T(this,\"target_description\");T(this,\"cpuTime\");T(this,\"rootFrame\");T(this,\"sysPath\");T(this,\"sysPrefixes\");T(this,\"_shortenPathCache\",{});this.startTime=e.session.start_time,this.duration=e.session.duration,this.minInterval=e.session.min_interval,this.maxInterval=e.session.max_interval,this.sampleCount=e.session.sample_count,this.target_description=e.session.target_description,this.cpuTime=e.session.cpu_time,this.sysPath=e.session.sys_path,this.sysPrefixes=e.session.sys_prefixes,this.precision=Math.ceil(-Math.log10(Math.min(Math.max(1e-9,this.maxInterval),1))),this.rootFrame=e.frame_tree?new Ke(e.frame_tree,this):null}shortenPath(e){if(this._shortenPathCache[e])return this._shortenPathCache[e];let t=e;if($e(e).length>1)for(const s of this.sysPath){const l=ts(e,s);$e(l).length<$e(t).length&&(t=l)}return this._shortenPathCache[e]=t,t}}function $e(i){return i.split(/[/\\\\]/)}function di(i){const e=$e(i);return e.length>0&&e[0].endsWith(\":\")?e[0]:null}function ts(i,e){if(di(i)!=di(e))return i;const t=$e(i),n=$e(e);let s=0;for(;s\"..\").concat(t.slice(s)).join(\"/\")}return{render(i,e){const t=new es(e);return new Jn({target:i,props:{session:t}})}}}();\n" }, { "path": "pyinstrument/renderers/jsonrenderer.py", "content": "from __future__ import annotations\n\nimport json\nimport typing\nfrom typing import Any, Callable\n\nfrom pyinstrument import processors\nfrom pyinstrument.frame import Frame\nfrom pyinstrument.renderers.base import FrameRenderer, ProcessorList\nfrom pyinstrument.session import Session\n\n# pyright: strict\n\n\n# note: this file is called jsonrenderer to avoid hiding built-in module 'json'.\n\nencode_str = typing.cast(Callable[[str], str], json.encoder.encode_basestring) # type: ignore\n\n\ndef encode_bool(a_bool: bool):\n return \"true\" if a_bool else \"false\"\n\n\nclass JSONRenderer(FrameRenderer):\n \"\"\"\n Outputs a tree of JSON, containing processed frames.\n \"\"\"\n\n output_file_extension = \"json\"\n\n def __init__(self, **kwargs: Any):\n super().__init__(**kwargs)\n\n def render_frame(self, frame: Frame | None):\n if frame is None:\n return \"null\"\n # we don't use the json module because it uses 2x stack frames, so\n # crashes on deep but valid call stacks\n\n property_decls: list[str] = []\n property_decls.append('\"function\": %s' % encode_str(frame.function))\n property_decls.append('\"file_path_short\": %s' % encode_str(frame.file_path_short or \"\"))\n property_decls.append('\"file_path\": %s' % encode_str(frame.file_path or \"\"))\n property_decls.append('\"line_no\": %d' % (frame.line_no or 0))\n property_decls.append('\"time\": %f' % frame.time)\n property_decls.append('\"await_time\": %f' % frame.await_time())\n property_decls.append(\n '\"is_application_code\": %s' % encode_bool(frame.is_application_code or False)\n )\n\n # can't use list comprehension here because it uses two stack frames each time.\n children_jsons: list[str] = []\n for child in frame.children:\n children_jsons.append(self.render_frame(child))\n property_decls.append('\"children\": [%s]' % \",\".join(children_jsons))\n\n if frame.group:\n property_decls.append('\"group_id\": %s' % encode_str(frame.group.id))\n\n if frame.class_name:\n property_decls.append('\"class_name\": %s' % encode_str(frame.class_name))\n\n return \"{%s}\" % \",\".join(property_decls)\n\n def render(self, session: Session):\n frame = self.preprocess(session.root_frame())\n\n property_decls: list[str] = []\n property_decls.append('\"start_time\": %f' % session.start_time)\n property_decls.append('\"duration\": %f' % session.duration)\n property_decls.append('\"sample_count\": %d' % session.sample_count)\n property_decls.append('\"target_description\": %s' % encode_str(session.target_description))\n property_decls.append('\"cpu_time\": %f' % session.cpu_time)\n property_decls.append('\"root_frame\": %s' % self.render_frame(frame))\n\n return \"{%s}\\n\" % \",\".join(property_decls)\n\n def default_processors(self) -> ProcessorList:\n return [\n processors.remove_importlib,\n processors.remove_tracebackhide,\n processors.merge_consecutive_self_time,\n processors.aggregate_repeated_calls,\n processors.remove_irrelevant_nodes,\n processors.remove_unnecessary_self_time_nodes,\n processors.remove_first_pyinstrument_frames_processor,\n processors.group_library_frames_processor,\n ]\n" }, { "path": "pyinstrument/renderers/pstatsrenderer.py", "content": "from __future__ import annotations\n\nimport marshal\nfrom typing import Any, Dict, Tuple\n\nfrom pyinstrument import processors\nfrom pyinstrument.frame import Frame\nfrom pyinstrument.renderers.base import FrameRenderer, ProcessorList\nfrom pyinstrument.session import Session\n\n# pyright: strict\n\nFrameKey = Tuple[str, int, str]\nCallerValue = Tuple[float, int, float, float]\nFrameValue = Tuple[float, int, float, float, Dict[FrameKey, CallerValue]]\nStatsDict = Dict[FrameKey, FrameValue]\n\n\nclass PstatsRenderer(FrameRenderer):\n \"\"\"\n Outputs a marshaled dict, containing processed frames in pstat format,\n suitable for processing by gprof2dot and snakeviz.\n \"\"\"\n\n output_file_extension = \"pstats\"\n output_is_binary = True\n\n def __init__(self, **kwargs: Any):\n super().__init__(**kwargs)\n\n def frame_key(self, frame: Frame) -> FrameKey:\n return (frame.file_path or \"\", frame.line_no or 0, frame.function)\n\n def render_frame(self, frame: Frame | None, stats: StatsDict) -> None:\n if frame is None:\n return\n\n key = self.frame_key(frame)\n\n if key not in stats:\n # create a new entry\n # being a statistical profiler, we don't know the exact call time or\n # number of calls, they're stubbed out\n call_time = -1\n number_calls = -1\n total_time = 0\n cumulative_time = 0\n callers: dict[FrameKey, CallerValue] = {}\n else:\n call_time, number_calls, total_time, cumulative_time, callers = stats[key]\n\n # update the total time and cumulative time\n total_time += frame.total_self_time\n cumulative_time += frame.time\n\n if frame.parent:\n parent_key = self.frame_key(frame.parent)\n if parent_key not in callers:\n p_call_time = -1\n p_number_calls = -1\n p_total_time = 0\n p_cumulative_time = 0\n else:\n p_call_time, p_number_calls, p_total_time, p_cumulative_time = callers[parent_key]\n\n p_total_time += frame.total_self_time\n p_cumulative_time += frame.time\n\n callers[parent_key] = p_call_time, p_number_calls, p_total_time, p_cumulative_time\n\n stats[key] = (call_time, number_calls, total_time, cumulative_time, callers)\n\n for child in frame.children:\n if not child.is_synthetic:\n self.render_frame(child, stats)\n\n def render(self, session: Session):\n frame = self.preprocess(session.root_frame())\n\n stats: StatsDict = {}\n self.render_frame(frame, stats)\n\n # marshal.dumps returns bytes, so we need to decode it to a string\n # using surrogateescape\n return marshal.dumps(stats).decode(encoding=\"utf-8\", errors=\"surrogateescape\")\n\n def default_processors(self) -> ProcessorList:\n return [\n processors.remove_importlib,\n processors.remove_tracebackhide,\n processors.merge_consecutive_self_time,\n processors.aggregate_repeated_calls,\n processors.remove_irrelevant_nodes,\n processors.remove_unnecessary_self_time_nodes,\n processors.remove_first_pyinstrument_frames_processor,\n ]\n" }, { "path": "pyinstrument/renderers/session.py", "content": "import json\n\nfrom pyinstrument.renderers.base import Renderer\nfrom pyinstrument.session import Session\n\n\nclass SessionRenderer(Renderer):\n output_file_extension: str = \"pyisession\"\n\n def __init__(self, tree_format: bool = False):\n super().__init__()\n self.tree_format = tree_format\n\n def render(self, session: Session) -> str:\n return json.dumps(session.to_json())\n" }, { "path": "pyinstrument/renderers/speedscope.py", "content": "from __future__ import annotations\n\nimport json\nimport time\nfrom dataclasses import dataclass\nfrom enum import Enum\nfrom typing import Any, Dict, Union\n\nfrom pyinstrument import processors\nfrom pyinstrument.frame import Frame\nfrom pyinstrument.renderers.base import FrameRenderer, ProcessorList\nfrom pyinstrument.session import Session\n\n# pyright: strict\n\n\n@dataclass(frozen=True, eq=True)\nclass SpeedscopeFrame:\n \"\"\"\n Data class to store data needed for speedscope's concept of a\n frame, hereafter referred to as a \"speedscope frame\", as opposed to\n a \"pyinstrument frame\". This type must be hashable in order to use\n it as a dictionary key; a dictionary will be used to track unique\n speedscope frames.\n \"\"\"\n\n name: str | None\n file: str | None\n line: int | None\n\n\nclass SpeedscopeEventType(Enum):\n \"\"\"Enum representing the only two types of speedscope frame events\"\"\"\n\n OPEN = \"O\"\n CLOSE = \"C\"\n\n\n@dataclass\nclass SpeedscopeEvent:\n \"\"\"\n Data class to store speedscope's concept of an \"event\", which\n corresponds to opening or closing stack frames as functions or\n methods are entered or exited.\n \"\"\"\n\n type: SpeedscopeEventType\n at: float\n frame: int\n\n\n@dataclass\nclass SpeedscopeProfile:\n \"\"\"\n Data class to store speedscope's concept of a \"profile\".\n \"\"\"\n\n name: str\n events: list[SpeedscopeEvent]\n end_value: float\n start_value: float = 0.0\n type: str = \"evented\"\n unit: str = \"seconds\"\n\n\n@dataclass\nclass SpeedscopeFile:\n \"\"\"\n Data class encoding fields in speedscope's JSON file schema\n \"\"\"\n\n name: str\n profiles: list[SpeedscopeProfile]\n shared: dict[str, list[SpeedscopeFrame]]\n schema: str = \"https://www.speedscope.app/file-format-schema.json\"\n active_profile_index: None = None\n exporter: str = \"pyinstrument\"\n\n\nSpeedscopeFrameDictType = Dict[str, Union[str, int, None]]\nSpeedscopeEventDictType = Dict[str, Union[SpeedscopeEventType, float, int]]\n\n\nclass SpeedscopeEncoder(json.JSONEncoder):\n \"\"\"\n Encoder class used by json.dumps to serialize the various\n speedscope data classes.\n \"\"\"\n\n def default(self, o: Any) -> Any:\n if isinstance(o, SpeedscopeFile):\n return {\n \"$schema\": o.schema,\n \"name\": o.name,\n \"activeProfileIndex\": o.active_profile_index,\n \"exporter\": o.exporter,\n \"profiles\": o.profiles,\n \"shared\": o.shared,\n }\n if isinstance(o, SpeedscopeProfile):\n return {\n \"type\": o.type,\n \"name\": o.name,\n \"unit\": o.unit,\n \"startValue\": o.start_value,\n \"endValue\": o.end_value,\n \"events\": o.events,\n }\n if isinstance(o, (SpeedscopeFrame, SpeedscopeEvent)):\n d: SpeedscopeFrameDictType | SpeedscopeEventDictType = o.__dict__\n return d\n if isinstance(o, SpeedscopeEventType):\n return o.value\n return json.JSONEncoder.default(self, o)\n\n\nclass SpeedscopeRenderer(FrameRenderer):\n \"\"\"\n Outputs a tree of JSON conforming to the speedscope schema documented at\n\n wiki: https://github.com/jlfwong/speedscope/wiki/Importing-from-custom-sources\n schema: https://www.speedscope.app/file-format-schema.json\n spec: https://github.com/jlfwong/speedscope/blob/main/src/lib/file-format-spec.ts\n example: https://github.com/jlfwong/speedscope/blob/main/sample/profiles/speedscope/0.0.1/simple.speedscope.json\n\n \"\"\"\n\n output_file_extension = \"speedscope.json\"\n\n def __init__(self, **kwargs: Any):\n super().__init__(**kwargs)\n\n # Member holding a running total of wall clock time needed to\n # compute the times at which events occur\n self._event_time: float = 0.0\n\n # Map of speedscope frames to speedscope frame indices, needed\n # to construct evented speedscope profiles; exploits LIFO\n # property of popinfo method in Python 3.7+ dictionaries. This\n # dictionary is used to build up the \"shared\" JSON array in\n # speedscope's schema.\n self._frame_to_index: dict[SpeedscopeFrame, int] = {}\n\n def render_frame(self, frame: Frame | None) -> list[SpeedscopeEvent]:\n \"\"\"\n Builds up a list of speedscope events that are used to populate the\n \"events\" array in speedscope-formatted JSON.\n\n This method has two notable side effects:\n\n * it populates the self._frame_to_index dictionary that matches\n speedscope frames with their positions in the \"shared\" array of\n speedscope output; this dictionary will be used to write this\n \"shared\" array in the render method\n\n * it accumulates a running total of time elapsed by\n accumulating the self_time spent in each pyinstrument frame;\n this running total is used by speedscope events to construct\n a flame chart.\n \"\"\"\n\n # if frame is None, recursion bottoms out; no event frames\n # need to be added\n if frame is None:\n return []\n\n # Otherwise, form a speedscope frame and add it to the frame\n # to index map if the frame is not already a key in that map.\n sframe = SpeedscopeFrame(frame.function, frame.file_path, frame.line_no)\n if sframe not in self._frame_to_index:\n self._frame_to_index[sframe] = len(self._frame_to_index)\n\n # Get the frame index and add a speedscope event corresponding\n # to opening a stack frame.\n sframe_index = self._frame_to_index[sframe]\n open_event = SpeedscopeEvent(SpeedscopeEventType.OPEN, self._event_time, sframe_index)\n events_array: list[SpeedscopeEvent] = [open_event]\n\n # Add stack frame open and close events for all child frames\n # of this frame.\n for child in frame.children:\n events_array.extend(self.render_frame(child))\n\n # Update event time for closing this stack frame.\n #\n # If number of frames approaches 1e16 * desired accuracy\n # level, consider using Neumaier-Kahan summation; improves\n # worst-case relative accuracy of sum from O(num_summands *\n # eps) to (2 * eps + O(num_summands * eps * eps)), where eps\n # is IEEE-754 double precision unit roundoff, approximately\n # 1e-16. Average case relative accuracy expressions replace\n # num_summands with sqrt(num_summands). However, Kahan\n # summation quadruples operation count of sum, and Neumaier\n # variant also adds a branch & swap for each summand. Pairwise\n # summation isn't an option here because a running total is\n # needed.\n\n self._event_time += frame.absorbed_time\n if frame.is_synthetic_leaf:\n # only time contained within leaf nodes is real time i.e. not the sum of children\n self._event_time += frame.time\n\n # Add event closing this stack frame.\n close_event = SpeedscopeEvent(SpeedscopeEventType.CLOSE, self._event_time, sframe_index)\n events_array.append(close_event)\n\n return events_array\n\n def render(self, session: Session):\n frame = self.preprocess(session.root_frame())\n\n id_: str = time.strftime(\"%Y-%m-%dT%H-%M-%S\", time.localtime(session.start_time))\n name: str = f\"CPU profile for '{session.target_description}' at {id_}\"\n\n sprofile_list: list[SpeedscopeProfile] = [\n SpeedscopeProfile(name, self.render_frame(frame), session.duration)\n ]\n\n # Exploits Python 3.7+ dictionary property of iterating over\n # keys in insertion order to build the list of speedscope\n # frames.\n sframe_list: list[SpeedscopeFrame] = [sframe for sframe in iter(self._frame_to_index)]\n\n shared_dict = {\"frames\": sframe_list}\n speedscope_file = SpeedscopeFile(name, sprofile_list, shared_dict)\n\n return \"%s\\n\" % json.dumps(speedscope_file, cls=SpeedscopeEncoder)\n\n def default_processors(self) -> ProcessorList:\n \"\"\"\n Default Processors for speedscope renderer; note that\n processors.aggregate_repeated_calls is removed because\n speedscope is a timeline-based format.\n \"\"\"\n return [\n processors.remove_importlib,\n processors.remove_tracebackhide,\n processors.merge_consecutive_self_time,\n processors.remove_irrelevant_nodes,\n processors.remove_unnecessary_self_time_nodes,\n processors.remove_first_pyinstrument_frames_processor,\n ]\n" }, { "path": "pyinstrument/session.py", "content": "from __future__ import annotations\n\nimport json\nimport os\nimport sys\nfrom collections import deque\nfrom typing import Any, Sequence\n\nfrom pyinstrument.frame import Frame\nfrom pyinstrument.frame_info import frame_info_get_identifier\nfrom pyinstrument.frame_ops import FrameRecordType, build_frame_tree\nfrom pyinstrument.typing import PathOrStr\n\n# pyright: strict\n\n\nASSERTION_MESSAGE = (\n \"Please raise an issue at https://github.com/joerick/pyinstrument/issues and \"\n \"let me know how you caused this error!\"\n)\n\n\nclass Session:\n def __init__(\n self,\n frame_records: list[FrameRecordType],\n start_time: float,\n duration: float,\n min_interval: float,\n max_interval: float,\n sample_count: int,\n start_call_stack: list[str],\n target_description: str,\n cpu_time: float,\n sys_path: list[str],\n sys_prefixes: list[str],\n ):\n \"\"\"Session()\n\n Represents a profile session, contains the data collected during a profile session.\n\n :meta private:\n \"\"\"\n self.frame_records = frame_records\n self.start_time = start_time\n self.duration = duration\n self.min_interval = min_interval\n self.max_interval = max_interval\n self.sample_count = sample_count\n self.start_call_stack = start_call_stack\n self.target_description = target_description\n self.cpu_time = cpu_time\n self.sys_path = sys_path\n self.sys_prefixes = sys_prefixes\n self._short_file_path_cache = {}\n\n @staticmethod\n def load(filename: PathOrStr) -> Session:\n \"\"\"\n Load a previously saved session from disk.\n\n :param filename: The path to load from.\n :rtype: Session\n \"\"\"\n with open(filename) as f:\n return Session.from_json(json.load(f))\n\n def save(self, filename: PathOrStr) -> None:\n \"\"\"\n Saves a Session object to disk, in a JSON format.\n\n :param filename: The path to save to. Using the ``.pyisession`` extension is recommended.\n \"\"\"\n with open(filename, \"w\") as f:\n json.dump(self.to_json(), f)\n\n def to_json(self, include_frame_records: bool = True):\n result: dict[str, Any] = {\n \"start_time\": self.start_time,\n \"duration\": self.duration,\n \"min_interval\": self.min_interval,\n \"max_interval\": self.max_interval,\n \"sample_count\": self.sample_count,\n \"start_call_stack\": self.start_call_stack,\n \"target_description\": self.target_description,\n \"cpu_time\": self.cpu_time,\n \"sys_path\": self.sys_path,\n \"sys_prefixes\": self.sys_prefixes,\n }\n\n if include_frame_records:\n result[\"frame_records\"] = self.frame_records\n\n return result\n\n @staticmethod\n def from_json(json_dict: dict[str, Any]):\n return Session(\n frame_records=json_dict[\"frame_records\"],\n start_time=json_dict[\"start_time\"],\n min_interval=json_dict.get(\"min_interval\", 0.001),\n max_interval=json_dict.get(\"max_interval\", 0.001),\n duration=json_dict[\"duration\"],\n sample_count=json_dict[\"sample_count\"],\n start_call_stack=json_dict[\"start_call_stack\"],\n target_description=json_dict[\"target_description\"],\n cpu_time=json_dict[\"cpu_time\"] or 0,\n sys_path=json_dict.get(\"sys_path\", sys.path),\n sys_prefixes=json_dict.get(\"sys_prefixes\", Session.current_sys_prefixes()),\n )\n\n @staticmethod\n def combine(session1: Session, session2: Session) -> Session:\n \"\"\"\n Combines two :class:`Session` objects.\n\n Sessions that are joined in this way probably shouldn't be interpreted\n as timelines, because the samples are simply concatenated. But\n aggregate views (the default) of this data will work.\n\n :rtype: Session\n \"\"\"\n if session1.start_time > session2.start_time:\n # swap them around so that session1 is the first one\n session1, session2 = session2, session1\n\n return Session(\n frame_records=session1.frame_records + session2.frame_records,\n start_time=session1.start_time,\n min_interval=min(session1.min_interval, session2.min_interval),\n max_interval=max(session1.max_interval, session2.max_interval),\n duration=session1.duration + session2.duration,\n sample_count=session1.sample_count + session2.sample_count,\n start_call_stack=session1.start_call_stack,\n target_description=session1.target_description,\n cpu_time=session1.cpu_time + session2.cpu_time,\n sys_path=(\n session1.sys_path + [p for p in session2.sys_path if p not in session1.sys_path]\n ),\n sys_prefixes=list(set([*session1.sys_prefixes, *session2.sys_prefixes])),\n )\n\n @staticmethod\n def current_sys_prefixes() -> list[str]:\n return [sys.prefix, sys.base_prefix, sys.exec_prefix, sys.base_exec_prefix]\n\n def root_frame(self, trim_stem: bool = True) -> Frame | None:\n \"\"\"\n Parses the internal frame records and returns a tree of :class:`Frame`\n objects. This object can be rendered using a :class:`Renderer`\n object.\n\n :rtype: A :class:`Frame` object, or None if the session is empty.\n \"\"\"\n root_frame = build_frame_tree(self.frame_records, context=self)\n\n if root_frame is None:\n return None\n\n if trim_stem:\n root_frame = self._trim_stem(root_frame)\n\n return root_frame\n\n def _trim_stem(self, frame: Frame):\n # trim the start of the tree before any branches.\n # we also don't want to trim beyond the call to profiler.start()\n\n start_stack = deque(frame_info_get_identifier(info) for info in self.start_call_stack)\n\n if start_stack.popleft() != frame.identifier:\n # the frame doesn't match where the profiler was started. Don't trim.\n return frame\n\n while frame.total_self_time == 0 and len(frame.children) == 1:\n # check child matches the start_call_stack, otherwise stop descending\n if len(start_stack) == 0 or frame.children[0].identifier != start_stack.popleft():\n break\n\n frame = frame.children[0]\n\n frame.remove_from_parent()\n return frame\n\n _short_file_path_cache: dict[str, str]\n\n def shorten_path(self, path: str) -> str:\n \"\"\"\n Shorten a path to a more readable form, relative to sys_path. Used by\n Frame.short_file_path.\n \"\"\"\n if path in self._short_file_path_cache:\n return self._short_file_path_cache[path]\n\n result = path\n # if os.sep doesn't appear, probably not a file path at all, more\n # likely or similar\n if len(path.split(os.sep)) > 1:\n for sys_path_entry in self.sys_path:\n # On Windows, if path and sys_path_entry are on\n # different drives, relpath will result in exception,\n # because it cannot compute a relpath in this case.\n # The root cause is that on Windows, there is no root\n # dir like '/' on Linux.\n try:\n candidate = os.path.relpath(path, sys_path_entry)\n except ValueError:\n continue\n\n if not result or (len(candidate.split(os.sep)) < len(result.split(os.sep))):\n result = candidate\n\n self._short_file_path_cache[path] = result\n\n return result\n\n @staticmethod\n def _resample_frame_records(\n frame_records: Sequence[FrameRecordType], interval: float\n ) -> list[FrameRecordType]:\n \"\"\"\n Resample frame records to a given interval. Discards samples as needed.\n \"\"\"\n result: list[FrameRecordType] = []\n accumulated_time = 0.0\n\n for frame_info_stack, time in frame_records:\n accumulated_time += time\n\n if accumulated_time >= interval:\n result.append((frame_info_stack, accumulated_time))\n accumulated_time = accumulated_time % interval\n\n return result\n\n def resample(self, interval: float) -> Session:\n \"\"\"\n Returns a new Session object with frame records resampled to the given interval.\n\n :param interval: The desired sampling interval in seconds.\n :rtype: Session\n \"\"\"\n new_frame_records = self._resample_frame_records(self.frame_records, interval)\n\n return Session(\n frame_records=new_frame_records,\n start_time=self.start_time,\n duration=self.duration,\n min_interval=interval,\n max_interval=interval,\n sample_count=len(new_frame_records),\n start_call_stack=self.start_call_stack,\n target_description=self.target_description,\n cpu_time=self.cpu_time,\n sys_path=self.sys_path,\n sys_prefixes=self.sys_prefixes,\n )\n" }, { "path": "pyinstrument/stack_sampler.py", "content": "from __future__ import annotations\n\nimport os\nimport sys\nimport textwrap\nimport threading\nimport timeit\nimport types\nfrom contextvars import ContextVar\nfrom typing import Any, Callable, List, NamedTuple, Optional\n\nfrom pyinstrument.low_level.stat_profile import (\n get_frame_info,\n measure_timing_overhead,\n setstatprofile,\n walltime_coarse_resolution,\n)\nfrom pyinstrument.low_level.types import TimerType\nfrom pyinstrument.typing import LiteralStr\nfrom pyinstrument.util import format_float_with_sig_figs, strtobool, unwrap\n\n# pyright: strict\n\n\nthread_locals = threading.local()\n\nStackSamplerSubscriberTarget = Callable[[List[str], float, Optional[\"AsyncState\"]], None]\n\nIGNORE_OVERHEAD_WARNING = strtobool(os.environ.get(\"PYINSTRUMENT_IGNORE_OVERHEAD_WARNING\", \"0\"))\n\n\nclass StackSamplerSubscriber:\n def __init__(\n self,\n *,\n target: StackSamplerSubscriberTarget,\n desired_interval: float,\n bound_to_async_context: bool,\n async_state: AsyncState | None,\n use_timing_thread: bool | None = None,\n ) -> None:\n self.target = target\n self.desired_interval = desired_interval\n self.use_timing_thread = use_timing_thread\n self.bound_to_async_context = bound_to_async_context\n self.async_state = async_state\n\n\nactive_profiler_context_var: ContextVar[object | None] = ContextVar(\n \"active_profiler_context_var\", default=None\n)\n\n\nclass StackSampler:\n \"\"\"Manages setstatprofile for Profilers on a single thread\"\"\"\n\n subscribers: list[StackSamplerSubscriber]\n current_sampling_interval: float | None\n last_profile_time: float\n timer_func: Callable[[], float] | None\n has_warned_about_timing_overhead: bool\n\n def __init__(self) -> None:\n self.subscribers = []\n self.current_sampling_interval = None\n self.last_profile_time = 0.0\n self.timer_func = None\n self.has_warned_about_timing_overhead = False\n\n def subscribe(\n self,\n target: StackSamplerSubscriberTarget,\n *,\n desired_interval: float,\n use_timing_thread: bool | None = None,\n use_async_context: bool,\n ):\n if use_async_context:\n if active_profiler_context_var.get() is not None:\n raise RuntimeError(\n \"There is already a profiler running. You cannot run multiple profilers in the same thread or async context, unless you disable async support.\"\n )\n active_profiler_context_var.set(target)\n\n existing_subscriber = next((s for s in self.subscribers if s.target == target), None)\n if existing_subscriber is not None:\n raise ValueError(\"This target is already subscribed to the stack sampler.\")\n\n self.subscribers.append(\n StackSamplerSubscriber(\n target=target,\n desired_interval=desired_interval,\n use_timing_thread=use_timing_thread,\n bound_to_async_context=use_async_context,\n async_state=AsyncState(\"in_context\") if use_async_context else None,\n )\n )\n self._update()\n\n def unsubscribe(self, target: StackSamplerSubscriberTarget):\n try:\n subscriber = next(s for s in self.subscribers if s.target == target) # type: ignore\n except StopIteration:\n raise StackSampler.SubscriberNotFound()\n\n if subscriber.bound_to_async_context:\n # (don't need to use context_var.reset() because we verified it was\n # None before we started)\n active_profiler_context_var.set(None)\n\n self.subscribers.remove(subscriber)\n\n self._update()\n\n def _update(self):\n if len(self.subscribers) == 0:\n self._stop_sampling()\n return\n\n min_subscribers_interval = min(s.desired_interval for s in self.subscribers)\n timing_thread_preferences = set(\n s.use_timing_thread for s in self.subscribers if s.use_timing_thread is not None\n )\n if len(timing_thread_preferences) > 1:\n raise ValueError(\n f\"Profiler requested different timing thread preferences from a profiler that is already running.\"\n )\n\n use_timing_thread = next(iter(timing_thread_preferences), False)\n\n if self.current_sampling_interval != min_subscribers_interval:\n self._start_sampling(\n interval=min_subscribers_interval, use_timing_thread=use_timing_thread\n )\n\n def _start_sampling(self, interval: float, use_timing_thread: bool):\n if use_timing_thread and self.timer_func is not None:\n raise ValueError(\n f\"Profiler requested to use the timing thread but this stack sampler is already using a custom timer function.\"\n )\n\n timer_type: TimerType\n\n if self.timer_func:\n timer_type = \"timer_func\"\n elif use_timing_thread:\n timer_type = \"walltime_thread\"\n else:\n coarse_resolution = walltime_coarse_resolution()\n if coarse_resolution is not None and coarse_resolution <= interval:\n timer_type = \"walltime_coarse\"\n else:\n timer_type = \"walltime\"\n\n self._check_timing_overhead(interval=interval, timer_type=timer_type)\n\n self.current_sampling_interval = interval\n if self.last_profile_time == 0.0:\n self.last_profile_time = self._timer()\n\n setstatprofile(\n target=self._sample,\n interval=interval,\n context_var=active_profiler_context_var,\n timer_type=timer_type,\n timer_func=self.timer_func,\n )\n\n def _stop_sampling(self):\n setstatprofile(None)\n self.current_sampling_interval = None\n self.last_profile_time = 0.0\n\n def _sample(self, frame: types.FrameType, event: str, arg: Any):\n if event == \"context_changed\":\n new, old, coroutine_stack = arg\n\n for subscriber in self.subscribers:\n if subscriber.target == old:\n assert subscriber.bound_to_async_context\n full_stack = build_call_stack(frame, event, arg)\n if coroutine_stack:\n full_stack.extend(reversed(coroutine_stack))\n subscriber.async_state = AsyncState(\n \"out_of_context_awaited\", info=full_stack\n )\n else:\n subscriber.async_state = AsyncState(\n \"out_of_context_unknown\", info=full_stack\n )\n elif subscriber.target == new:\n assert subscriber.bound_to_async_context\n subscriber.async_state = AsyncState(\"in_context\")\n else:\n now = self._timer()\n time_since_last_sample = now - self.last_profile_time\n\n call_stack = build_call_stack(frame, event, arg)\n\n for subscriber in self.subscribers:\n subscriber.target(call_stack, time_since_last_sample, subscriber.async_state)\n\n self.last_profile_time = now\n\n def _timer(self):\n if self.timer_func:\n return self.timer_func()\n else:\n return timeit.default_timer()\n\n def _check_timing_overhead(self, interval: float, timer_type: TimerType):\n if self.has_warned_about_timing_overhead:\n return\n if IGNORE_OVERHEAD_WARNING:\n return\n\n overheads = timing_overhead()\n overhead = overheads.get(timer_type)\n if overhead is None:\n return\n\n if timer_type == \"walltime\":\n if overhead > 300e-9:\n self.has_warned_about_timing_overhead = True\n message_parts: list[str] = []\n message_parts.append(\n f\"\"\"\n pyinstrument: the timer on your system has an overhead of\n {overhead * 1e9:.0f} nanoseconds, which is considered\n high. You might experience longer runtimes than usual, and\n programs with lots of pure-python code might be distorted.\n \"\"\"\n )\n\n message_parts.append(\n f\"\"\"\n You might want to try the timing thread option, which can\n be enabled using --use-timing-thread at the command line,\n or by setting the use_timing_thread parameter in the\n Profiler constructor.\n \"\"\"\n )\n\n if \"walltime_coarse\" in overheads and overheads[\"walltime_coarse\"] < 300e-9:\n coarse_resolution = walltime_coarse_resolution()\n assert coarse_resolution is not None\n message_parts.append(\n f\"\"\"\n Your system does offer a 'coarse' timer, with a lower\n overhead ({overheads[\"walltime_coarse\"] * 1e9:.2g}\n nanoseconds). You can enable it by setting\n pyinstrument's interval to a value higher than\n {format_float_with_sig_figs(coarse_resolution,\n trim_zeroes=True)} seconds. If you're happy with the\n lower precision, this is the best option.\n \"\"\"\n )\n\n message_parts.append(\n f\"\"\"\n If you want to suppress this warning, you can set the\n environment variable PYINSTRUMENT_IGNORE_OVERHEAD_WARNING\n to '1'.\n \"\"\"\n )\n\n message = \"\\n\\n\".join(\n textwrap.fill(unwrap(part), width=80) for part in message_parts\n )\n\n print(message, file=sys.stderr)\n\n class SubscriberNotFound(Exception):\n pass\n\n\ndef get_stack_sampler() -> StackSampler:\n \"\"\"\n Gets the stack sampler for the current thread, creating it if necessary\n \"\"\"\n try:\n return thread_locals.stack_sampler\n except AttributeError:\n # Attribute 'stack_sampler' doesn't exist in thread_locals, create it\n stack_sampler = StackSampler()\n thread_locals.stack_sampler = stack_sampler\n return stack_sampler\n\n\ndef build_call_stack(frame: types.FrameType | None, event: str, arg: Any) -> list[str]:\n call_stack: list[str] = []\n\n if event == \"call\":\n # if we're entering a function, the time should be attributed to\n # the caller\n frame = frame.f_back if frame else None\n elif event == \"c_return\" or event == \"c_exception\":\n # if we're exiting a C function, we should add a frame before\n # any Python frames that attributes the time to that C function\n c_frame_identifier = \"%s\\x00%s\\x00%i\" % (\n getattr(arg, \"__qualname__\", arg.__name__),\n \"\",\n 0,\n )\n call_stack.append(c_frame_identifier)\n\n while frame is not None:\n call_stack.append(get_frame_info(frame))\n frame = frame.f_back\n\n thread = threading.current_thread()\n thread_identifier = \"%s\\x00%s\\x00%i\" % (thread.name, \"\", thread.ident)\n call_stack.append(thread_identifier)\n\n # we iterated from the leaf to the root, we actually want the call stack\n # starting at the root, so reverse this array\n call_stack.reverse()\n\n return call_stack\n\n\nclass AsyncState(NamedTuple):\n state: LiteralStr[\"in_context\", \"out_of_context_awaited\", \"out_of_context_unknown\"]\n \"\"\"\n Definitions:\n ``in_context``: indicates that the sample comes from the subscriber's\n context.\n\n ``out_of_context_awaited``: the sample comes from outside the\n subscriber's context, but we tracked the await that happened before the\n context exited. :attr:`info` contains the call stack of the await.\n\n ``out_of_context_unknown``: the sample comes from outside the\n subscriber's context, but the change of context didn't look like an\n await. :attr:`info` contains the call stack when the context changed.\n \"\"\"\n\n info: Any = None\n\n\n_timing_overhead: dict[TimerType, float] | None = None\n\n\ndef timing_overhead() -> dict[TimerType, float]:\n global _timing_overhead\n if _timing_overhead is None:\n _timing_overhead = measure_timing_overhead()\n return _timing_overhead\n" }, { "path": "pyinstrument/typing.py", "content": "import os\nfrom typing import TYPE_CHECKING, Any, Union\n\nif TYPE_CHECKING:\n from typing_extensions import Literal as LiteralStr\n from typing_extensions import TypeAlias, Unpack, assert_never\nelse:\n # a type, that when subscripted, returns `str`.\n class _LiteralStr:\n def __getitem__(self, values):\n return str\n\n LiteralStr = _LiteralStr()\n\n def assert_never(value: Any):\n raise ValueError(value)\n\n Unpack = Any\n TypeAlias = Any\n\n\nPathOrStr = Union[str, \"os.PathLike[str]\"]\n\n__all__ = [\"PathOrStr\", \"LiteralStr\", \"assert_never\", \"Unpack\", \"TypeAlias\"]\n" }, { "path": "pyinstrument/util.py", "content": "import codecs\nimport importlib\nimport math\nimport os\nimport re\nimport sys\nimport warnings\nfrom typing import IO, Any, AnyStr, Callable\n\nfrom pyinstrument.vendor.decorator import decorator\n\n\ndef object_with_import_path(import_path: str) -> Any:\n if \".\" not in import_path:\n raise ValueError(\"Can't import '%s', it is not a valid import path\" % import_path)\n module_path, object_name = import_path.rsplit(\".\", 1)\n\n module = importlib.import_module(module_path)\n return getattr(module, object_name)\n\n\ndef truncate(string: str, max_length: int) -> str:\n if len(string) > max_length:\n return string[0 : max_length - 3] + \"...\"\n return string\n\n\n@decorator\ndef deprecated(func: Callable[..., Any], *args: Any, **kwargs: Any) -> Any:\n \"\"\"Marks a function as deprecated.\"\"\"\n warnings.warn(\n f\"{func} is deprecated and should no longer be used.\",\n DeprecationWarning,\n stacklevel=3,\n )\n return func(*args, **kwargs)\n\n\ndef deprecated_option(option_name: str, message: str = \"\") -> Any:\n \"\"\"Marks an option as deprecated.\"\"\"\n\n def caller(func, *args, **kwargs):\n if option_name in kwargs:\n warnings.warn(\n f\"{option_name} is deprecated. {message}\",\n DeprecationWarning,\n stacklevel=3,\n )\n\n return func(*args, **kwargs)\n\n return decorator(caller)\n\n\ndef file_supports_color(file_obj: IO[AnyStr]) -> bool:\n \"\"\"\n Returns True if the running system's terminal supports color.\n\n Borrowed from Django\n https://github.com/django/django/blob/master/django/core/management/color.py\n \"\"\"\n plat = sys.platform\n supported_platform = plat != \"Pocket PC\" and (plat != \"win32\" or \"ANSICON\" in os.environ)\n\n is_a_tty = file_is_a_tty(file_obj)\n\n return supported_platform and is_a_tty\n\n\ndef file_supports_unicode(file_obj: IO[AnyStr]) -> bool:\n encoding = getattr(file_obj, \"encoding\", None)\n if not encoding:\n return False\n\n codec_info = codecs.lookup(encoding)\n\n return \"utf\" in codec_info.name\n\n\ndef file_is_a_tty(file_obj: IO[AnyStr]) -> bool:\n return hasattr(file_obj, \"isatty\") and file_obj.isatty()\n\n\ndef unwrap(string: str) -> str:\n string = string.replace(\"\\n\", \" \")\n string = re.sub(r\"\\s+\", \" \", string)\n return string.strip()\n\n\ndef format_float_with_sig_figs(value: float, sig_figs: int = 3, trim_zeroes=False) -> str:\n \"\"\"\n Format a float to a string with a specific number of significant figures.\n Doesn't use scientific notation.\n \"\"\"\n if value == 0:\n return \"0\"\n\n precision = math.ceil(-math.log10(abs(value))) + sig_figs - 1\n if precision < 0:\n precision = 0\n result = \"{:.{precision}f}\".format(value, precision=precision)\n\n if trim_zeroes and \".\" in result:\n result = result.rstrip(\"0\").rstrip(\".\")\n\n return result\n\n\ndef strtobool(val: str) -> bool:\n return val.lower() in {\"y\", \"yes\", \"t\", \"true\", \"on\", \"1\"}\n" }, { "path": "pyinstrument/vendor/__init__.py", "content": "" }, { "path": "pyinstrument/vendor/appdirs.py", "content": "# -*- coding: utf-8 -*-\n# Copyright (c) 2005-2010 ActiveState Software Inc.\n# Copyright (c) 2013 Eddy Petrișor\n\n# Permission is hereby granted, free of charge, to any person obtaining a\n# copy of this software and associated documentation files (the\n# \"Software\"), to deal in the Software without restriction, including\n# without limitation the rights to use, copy, modify, merge, publish,\n# distribute, sublicense, and/or sell copies of the Software, and to\n# permit persons to whom the Software is furnished to do so, subject to\n# the following conditions:\n\n# The above copyright notice and this permission notice shall be included\n# in all copies or substantial portions of the Software.\n\n# THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS\n# OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF\n# MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.\n# IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY\n# CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT,\n# TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE\n# SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.\n\n\"\"\"Utilities for determining application-specific dirs.\n\nSee for details and usage.\n\"\"\"\n# Dev Notes:\n# - MSDN on where to store app data files:\n# http://support.microsoft.com/default.aspx?scid=kb;en-us;310294#XSLTH3194121123120121120120\n# - Mac OS X: http://developer.apple.com/documentation/MacOSX/Conceptual/BPFileSystem/index.html\n# - XDG spec for Un*x: https://standards.freedesktop.org/basedir-spec/basedir-spec-latest.html\n\n__version__ = \"1.4.4\"\n__version_info__ = tuple(int(segment) for segment in __version__.split(\".\"))\n\n\nimport sys\nimport os\n\nPY3 = sys.version_info[0] == 3\n\nif PY3:\n unicode = str\n\nif sys.platform.startswith('java'):\n import platform\n os_name = platform.java_ver()[3][0]\n if os_name.startswith('Windows'): # \"Windows XP\", \"Windows 7\", etc.\n system = 'win32'\n elif os_name.startswith('Mac'): # \"Mac OS X\", etc.\n system = 'darwin'\n else: # \"Linux\", \"SunOS\", \"FreeBSD\", etc.\n # Setting this to \"linux2\" is not ideal, but only Windows or Mac\n # are actually checked for and the rest of the module expects\n # *sys.platform* style strings.\n system = 'linux2'\nelse:\n system = sys.platform\n\n\n\ndef user_data_dir(appname=None, appauthor=None, version=None, roaming=False) -> str:\n r\"\"\"Return full path to the user-specific data dir for this application.\n\n \"appname\" is the name of application.\n If None, just the system directory is returned.\n \"appauthor\" (only used on Windows) is the name of the\n appauthor or distributing body for this application. Typically\n it is the owning company name. This falls back to appname. You may\n pass False to disable it.\n \"version\" is an optional version path element to append to the\n path. You might want to use this if you want multiple versions\n of your app to be able to run independently. If used, this\n would typically be \".\".\n Only applied when appname is present.\n \"roaming\" (boolean, default False) can be set True to use the Windows\n roaming appdata directory. That means that for users on a Windows\n network setup for roaming profiles, this user data will be\n sync'd on login. See\n \n for a discussion of issues.\n\n Typical user data directories are:\n Mac OS X: ~/Library/Application Support/\n Unix: ~/.local/share/ # or in $XDG_DATA_HOME, if defined\n Win XP (not roaming): C:\\Documents and Settings\\\\Application Data\\\\\n Win XP (roaming): C:\\Documents and Settings\\\\Local Settings\\Application Data\\\\\n Win 7 (not roaming): C:\\Users\\\\AppData\\Local\\\\\n Win 7 (roaming): C:\\Users\\\\AppData\\Roaming\\\\\n\n For Unix, we follow the XDG spec and support $XDG_DATA_HOME.\n That means, by default \"~/.local/share/\".\n \"\"\"\n if system == \"win32\":\n if appauthor is None:\n appauthor = appname\n const = roaming and \"CSIDL_APPDATA\" or \"CSIDL_LOCAL_APPDATA\"\n path = os.path.normpath(_get_win_folder(const))\n if appname:\n if appauthor is not False:\n path = os.path.join(path, appauthor, appname)\n else:\n path = os.path.join(path, appname)\n elif system == 'darwin':\n path = os.path.expanduser('~/Library/Application Support/')\n if appname:\n path = os.path.join(path, appname)\n else:\n path = os.getenv('XDG_DATA_HOME', os.path.expanduser(\"~/.local/share\"))\n if appname:\n path = os.path.join(path, appname)\n if appname and version:\n path = os.path.join(path, version)\n return path\n\n\ndef site_data_dir(appname=None, appauthor=None, version=None, multipath=False):\n r\"\"\"Return full path to the user-shared data dir for this application.\n\n \"appname\" is the name of application.\n If None, just the system directory is returned.\n \"appauthor\" (only used on Windows) is the name of the\n appauthor or distributing body for this application. Typically\n it is the owning company name. This falls back to appname. You may\n pass False to disable it.\n \"version\" is an optional version path element to append to the\n path. You might want to use this if you want multiple versions\n of your app to be able to run independently. If used, this\n would typically be \".\".\n Only applied when appname is present.\n \"multipath\" is an optional parameter only applicable to *nix\n which indicates that the entire list of data dirs should be\n returned. By default, the first item from XDG_DATA_DIRS is\n returned, or '/usr/local/share/',\n if XDG_DATA_DIRS is not set\n\n Typical site data directories are:\n Mac OS X: /Library/Application Support/\n Unix: /usr/local/share/ or /usr/share/\n Win XP: C:\\Documents and Settings\\All Users\\Application Data\\\\\n Vista: (Fail! \"C:\\ProgramData\" is a hidden *system* directory on Vista.)\n Win 7: C:\\ProgramData\\\\ # Hidden, but writeable on Win 7.\n\n For Unix, this is using the $XDG_DATA_DIRS[0] default.\n\n WARNING: Do not use this on Windows. See the Vista-Fail note above for why.\n \"\"\"\n if system == \"win32\":\n if appauthor is None:\n appauthor = appname\n path = os.path.normpath(_get_win_folder(\"CSIDL_COMMON_APPDATA\"))\n if appname:\n if appauthor is not False:\n path = os.path.join(path, appauthor, appname)\n else:\n path = os.path.join(path, appname)\n elif system == 'darwin':\n path = os.path.expanduser('/Library/Application Support')\n if appname:\n path = os.path.join(path, appname)\n else:\n # XDG default for $XDG_DATA_DIRS\n # only first, if multipath is False\n path = os.getenv('XDG_DATA_DIRS',\n os.pathsep.join(['/usr/local/share', '/usr/share']))\n pathlist = [os.path.expanduser(x.rstrip(os.sep)) for x in path.split(os.pathsep)]\n if appname:\n if version:\n appname = os.path.join(appname, version)\n pathlist = [os.sep.join([x, appname]) for x in pathlist]\n\n if multipath:\n path = os.pathsep.join(pathlist)\n else:\n path = pathlist[0]\n return path\n\n if appname and version:\n path = os.path.join(path, version)\n return path\n\n\ndef user_config_dir(appname=None, appauthor=None, version=None, roaming=False):\n r\"\"\"Return full path to the user-specific config dir for this application.\n\n \"appname\" is the name of application.\n If None, just the system directory is returned.\n \"appauthor\" (only used on Windows) is the name of the\n appauthor or distributing body for this application. Typically\n it is the owning company name. This falls back to appname. You may\n pass False to disable it.\n \"version\" is an optional version path element to append to the\n path. You might want to use this if you want multiple versions\n of your app to be able to run independently. If used, this\n would typically be \".\".\n Only applied when appname is present.\n \"roaming\" (boolean, default False) can be set True to use the Windows\n roaming appdata directory. That means that for users on a Windows\n network setup for roaming profiles, this user data will be\n sync'd on login. See\n \n for a discussion of issues.\n\n Typical user config directories are:\n Mac OS X: ~/Library/Preferences/\n Unix: ~/.config/ # or in $XDG_CONFIG_HOME, if defined\n Win *: same as user_data_dir\n\n For Unix, we follow the XDG spec and support $XDG_CONFIG_HOME.\n That means, by default \"~/.config/\".\n \"\"\"\n if system == \"win32\":\n path = user_data_dir(appname, appauthor, None, roaming)\n elif system == 'darwin':\n path = os.path.expanduser('~/Library/Preferences/')\n if appname:\n path = os.path.join(path, appname)\n else:\n path = os.getenv('XDG_CONFIG_HOME', os.path.expanduser(\"~/.config\"))\n if appname:\n path = os.path.join(path, appname)\n if appname and version:\n path = os.path.join(path, version)\n return path\n\n\ndef site_config_dir(appname=None, appauthor=None, version=None, multipath=False):\n r\"\"\"Return full path to the user-shared data dir for this application.\n\n \"appname\" is the name of application.\n If None, just the system directory is returned.\n \"appauthor\" (only used on Windows) is the name of the\n appauthor or distributing body for this application. Typically\n it is the owning company name. This falls back to appname. You may\n pass False to disable it.\n \"version\" is an optional version path element to append to the\n path. You might want to use this if you want multiple versions\n of your app to be able to run independently. If used, this\n would typically be \".\".\n Only applied when appname is present.\n \"multipath\" is an optional parameter only applicable to *nix\n which indicates that the entire list of config dirs should be\n returned. By default, the first item from XDG_CONFIG_DIRS is\n returned, or '/etc/xdg/', if XDG_CONFIG_DIRS is not set\n\n Typical site config directories are:\n Mac OS X: same as site_data_dir\n Unix: /etc/xdg/ or $XDG_CONFIG_DIRS[i]/ for each value in\n $XDG_CONFIG_DIRS\n Win *: same as site_data_dir\n Vista: (Fail! \"C:\\ProgramData\" is a hidden *system* directory on Vista.)\n\n For Unix, this is using the $XDG_CONFIG_DIRS[0] default, if multipath=False\n\n WARNING: Do not use this on Windows. See the Vista-Fail note above for why.\n \"\"\"\n if system == 'win32':\n path = site_data_dir(appname, appauthor)\n if appname and version:\n path = os.path.join(path, version)\n elif system == 'darwin':\n path = os.path.expanduser('/Library/Preferences')\n if appname:\n path = os.path.join(path, appname)\n else:\n # XDG default for $XDG_CONFIG_DIRS\n # only first, if multipath is False\n path = os.getenv('XDG_CONFIG_DIRS', '/etc/xdg')\n pathlist = [os.path.expanduser(x.rstrip(os.sep)) for x in path.split(os.pathsep)]\n if appname:\n if version:\n appname = os.path.join(appname, version)\n pathlist = [os.sep.join([x, appname]) for x in pathlist]\n\n if multipath:\n path = os.pathsep.join(pathlist)\n else:\n path = pathlist[0]\n return path\n\n\ndef user_cache_dir(appname=None, appauthor=None, version=None, opinion=True):\n r\"\"\"Return full path to the user-specific cache dir for this application.\n\n \"appname\" is the name of application.\n If None, just the system directory is returned.\n \"appauthor\" (only used on Windows) is the name of the\n appauthor or distributing body for this application. Typically\n it is the owning company name. This falls back to appname. You may\n pass False to disable it.\n \"version\" is an optional version path element to append to the\n path. You might want to use this if you want multiple versions\n of your app to be able to run independently. If used, this\n would typically be \".\".\n Only applied when appname is present.\n \"opinion\" (boolean) can be False to disable the appending of\n \"Cache\" to the base app data dir for Windows. See\n discussion below.\n\n Typical user cache directories are:\n Mac OS X: ~/Library/Caches/\n Unix: ~/.cache/ (XDG default)\n Win XP: C:\\Documents and Settings\\\\Local Settings\\Application Data\\\\\\Cache\n Vista: C:\\Users\\\\AppData\\Local\\\\\\Cache\n\n On Windows the only suggestion in the MSDN docs is that local settings go in\n the `CSIDL_LOCAL_APPDATA` directory. This is identical to the non-roaming\n app data dir (the default returned by `user_data_dir` above). Apps typically\n put cache data somewhere *under* the given dir here. Some examples:\n ...\\Mozilla\\Firefox\\Profiles\\\\Cache\n ...\\Acme\\SuperApp\\Cache\\1.0\n OPINION: This function appends \"Cache\" to the `CSIDL_LOCAL_APPDATA` value.\n This can be disabled with the `opinion=False` option.\n \"\"\"\n if system == \"win32\":\n if appauthor is None:\n appauthor = appname\n path = os.path.normpath(_get_win_folder(\"CSIDL_LOCAL_APPDATA\"))\n if appname:\n if appauthor is not False:\n path = os.path.join(path, appauthor, appname)\n else:\n path = os.path.join(path, appname)\n if opinion:\n path = os.path.join(path, \"Cache\")\n elif system == 'darwin':\n path = os.path.expanduser('~/Library/Caches')\n if appname:\n path = os.path.join(path, appname)\n else:\n path = os.getenv('XDG_CACHE_HOME', os.path.expanduser('~/.cache'))\n if appname:\n path = os.path.join(path, appname)\n if appname and version:\n path = os.path.join(path, version)\n return path\n\n\ndef user_state_dir(appname=None, appauthor=None, version=None, roaming=False):\n r\"\"\"Return full path to the user-specific state dir for this application.\n\n \"appname\" is the name of application.\n If None, just the system directory is returned.\n \"appauthor\" (only used on Windows) is the name of the\n appauthor or distributing body for this application. Typically\n it is the owning company name. This falls back to appname. You may\n pass False to disable it.\n \"version\" is an optional version path element to append to the\n path. You might want to use this if you want multiple versions\n of your app to be able to run independently. If used, this\n would typically be \".\".\n Only applied when appname is present.\n \"roaming\" (boolean, default False) can be set True to use the Windows\n roaming appdata directory. That means that for users on a Windows\n network setup for roaming profiles, this user data will be\n sync'd on login. See\n \n for a discussion of issues.\n\n Typical user state directories are:\n Mac OS X: same as user_data_dir\n Unix: ~/.local/state/ # or in $XDG_STATE_HOME, if defined\n Win *: same as user_data_dir\n\n For Unix, we follow this Debian proposal \n to extend the XDG spec and support $XDG_STATE_HOME.\n\n That means, by default \"~/.local/state/\".\n \"\"\"\n if system in [\"win32\", \"darwin\"]:\n path = user_data_dir(appname, appauthor, None, roaming)\n else:\n path = os.getenv('XDG_STATE_HOME', os.path.expanduser(\"~/.local/state\"))\n if appname:\n path = os.path.join(path, appname)\n if appname and version:\n path = os.path.join(path, version)\n return path\n\n\ndef user_log_dir(appname=None, appauthor=None, version=None, opinion=True):\n r\"\"\"Return full path to the user-specific log dir for this application.\n\n \"appname\" is the name of application.\n If None, just the system directory is returned.\n \"appauthor\" (only used on Windows) is the name of the\n appauthor or distributing body for this application. Typically\n it is the owning company name. This falls back to appname. You may\n pass False to disable it.\n \"version\" is an optional version path element to append to the\n path. You might want to use this if you want multiple versions\n of your app to be able to run independently. If used, this\n would typically be \".\".\n Only applied when appname is present.\n \"opinion\" (boolean) can be False to disable the appending of\n \"Logs\" to the base app data dir for Windows, and \"log\" to the\n base cache dir for Unix. See discussion below.\n\n Typical user log directories are:\n Mac OS X: ~/Library/Logs/\n Unix: ~/.cache//log # or under $XDG_CACHE_HOME if defined\n Win XP: C:\\Documents and Settings\\\\Local Settings\\Application Data\\\\\\Logs\n Vista: C:\\Users\\\\AppData\\Local\\\\\\Logs\n\n On Windows the only suggestion in the MSDN docs is that local settings\n go in the `CSIDL_LOCAL_APPDATA` directory. (Note: I'm interested in\n examples of what some windows apps use for a logs dir.)\n\n OPINION: This function appends \"Logs\" to the `CSIDL_LOCAL_APPDATA`\n value for Windows and appends \"log\" to the user cache dir for Unix.\n This can be disabled with the `opinion=False` option.\n \"\"\"\n if system == \"darwin\":\n path = os.path.join(\n os.path.expanduser('~/Library/Logs'),\n appname)\n elif system == \"win32\":\n path = user_data_dir(appname, appauthor, version)\n version = False\n if opinion:\n path = os.path.join(path, \"Logs\")\n else:\n path = user_cache_dir(appname, appauthor, version)\n version = False\n if opinion:\n path = os.path.join(path, \"log\")\n if appname and version:\n path = os.path.join(path, version)\n return path\n\n\nclass AppDirs(object):\n \"\"\"Convenience wrapper for getting application dirs.\"\"\"\n def __init__(self, appname=None, appauthor=None, version=None,\n roaming=False, multipath=False):\n self.appname = appname\n self.appauthor = appauthor\n self.version = version\n self.roaming = roaming\n self.multipath = multipath\n\n @property\n def user_data_dir(self):\n return user_data_dir(self.appname, self.appauthor,\n version=self.version, roaming=self.roaming)\n\n @property\n def site_data_dir(self):\n return site_data_dir(self.appname, self.appauthor,\n version=self.version, multipath=self.multipath)\n\n @property\n def user_config_dir(self):\n return user_config_dir(self.appname, self.appauthor,\n version=self.version, roaming=self.roaming)\n\n @property\n def site_config_dir(self):\n return site_config_dir(self.appname, self.appauthor,\n version=self.version, multipath=self.multipath)\n\n @property\n def user_cache_dir(self):\n return user_cache_dir(self.appname, self.appauthor,\n version=self.version)\n\n @property\n def user_state_dir(self):\n return user_state_dir(self.appname, self.appauthor,\n version=self.version)\n\n @property\n def user_log_dir(self):\n return user_log_dir(self.appname, self.appauthor,\n version=self.version)\n\n\n#---- internal support stuff\n\ndef _get_win_folder_from_registry(csidl_name):\n \"\"\"This is a fallback technique at best. I'm not sure if using the\n registry for this guarantees us the correct answer for all CSIDL_*\n names.\n \"\"\"\n if PY3:\n import winreg as _winreg\n else:\n import _winreg\n\n shell_folder_name = {\n \"CSIDL_APPDATA\": \"AppData\",\n \"CSIDL_COMMON_APPDATA\": \"Common AppData\",\n \"CSIDL_LOCAL_APPDATA\": \"Local AppData\",\n }[csidl_name]\n\n key = _winreg.OpenKey(\n _winreg.HKEY_CURRENT_USER,\n r\"Software\\Microsoft\\Windows\\CurrentVersion\\Explorer\\Shell Folders\"\n )\n dir, type = _winreg.QueryValueEx(key, shell_folder_name)\n return dir\n\n\ndef _get_win_folder_with_ctypes(csidl_name):\n import ctypes\n\n csidl_const = {\n \"CSIDL_APPDATA\": 26,\n \"CSIDL_COMMON_APPDATA\": 35,\n \"CSIDL_LOCAL_APPDATA\": 28,\n }[csidl_name]\n\n buf = ctypes.create_unicode_buffer(1024)\n ctypes.windll.shell32.SHGetFolderPathW(None, csidl_const, None, 0, buf)\n\n # Downgrade to short path name if have highbit chars. See\n # .\n has_high_char = False\n for c in buf:\n if ord(c) > 255:\n has_high_char = True\n break\n if has_high_char:\n buf2 = ctypes.create_unicode_buffer(1024)\n if ctypes.windll.kernel32.GetShortPathNameW(buf.value, buf2, 1024):\n buf = buf2\n\n return buf.value\n\ndef _get_win_folder_with_jna(csidl_name):\n import array\n from com.sun import jna\n from com.sun.jna.platform import win32\n\n buf_size = win32.WinDef.MAX_PATH * 2\n buf = array.zeros('c', buf_size)\n shell = win32.Shell32.INSTANCE\n shell.SHGetFolderPath(None, getattr(win32.ShlObj, csidl_name), None, win32.ShlObj.SHGFP_TYPE_CURRENT, buf)\n dir = jna.Native.toString(buf.tostring()).rstrip(\"\\0\")\n\n # Downgrade to short path name if have highbit chars. See\n # .\n has_high_char = False\n for c in dir:\n if ord(c) > 255:\n has_high_char = True\n break\n if has_high_char:\n buf = array.zeros('c', buf_size)\n kernel = win32.Kernel32.INSTANCE\n if kernel.GetShortPathName(dir, buf, buf_size):\n dir = jna.Native.toString(buf.tostring()).rstrip(\"\\0\")\n\n return dir\n\nif system == \"win32\":\n try:\n from ctypes import windll\n except ImportError:\n try:\n import com.sun.jna\n except ImportError:\n _get_win_folder = _get_win_folder_from_registry\n else:\n _get_win_folder = _get_win_folder_with_jna\n else:\n _get_win_folder = _get_win_folder_with_ctypes\n\n\n#---- self test code\n\nif __name__ == \"__main__\":\n appname = \"MyApp\"\n appauthor = \"MyCompany\"\n\n props = (\"user_data_dir\",\n \"user_config_dir\",\n \"user_cache_dir\",\n \"user_state_dir\",\n \"user_log_dir\",\n \"site_data_dir\",\n \"site_config_dir\")\n\n print(\"-- app dirs %s --\" % __version__)\n\n print(\"-- app dirs (with optional 'version')\")\n dirs = AppDirs(appname, appauthor, version=\"1.0\")\n for prop in props:\n print(\"%s: %s\" % (prop, getattr(dirs, prop)))\n\n print(\"\\n-- app dirs (without optional 'version')\")\n dirs = AppDirs(appname, appauthor)\n for prop in props:\n print(\"%s: %s\" % (prop, getattr(dirs, prop)))\n\n print(\"\\n-- app dirs (without optional 'appauthor')\")\n dirs = AppDirs(appname)\n for prop in props:\n print(\"%s: %s\" % (prop, getattr(dirs, prop)))\n\n print(\"\\n-- app dirs (with disabled 'appauthor')\")\n dirs = AppDirs(appname, appauthor=False)\n for prop in props:\n print(\"%s: %s\" % (prop, getattr(dirs, prop)))\n" }, { "path": "pyinstrument/vendor/decorator.py", "content": "# ######################### LICENSE ############################ #\n\n# Copyright (c) 2005-2018, Michele Simionato\n# All rights reserved.\n\n# Redistribution and use in source and binary forms, with or without\n# modification, are permitted provided that the following conditions are\n# met:\n\n# Redistributions of source code must retain the above copyright\n# notice, this list of conditions and the following disclaimer.\n# Redistributions in bytecode form must reproduce the above copyright\n# notice, this list of conditions and the following disclaimer in\n# the documentation and/or other materials provided with the\n# distribution.\n\n# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS\n# \"AS IS\" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT\n# LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR\n# A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT\n# HOLDERS OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT,\n# INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,\n# BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS\n# OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND\n# ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR\n# TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE\n# USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH\n# DAMAGE.\n\n\"\"\"\nDecorator module, see http://pypi.python.org/pypi/decorator\nfor the documentation.\n\"\"\"\nfrom __future__ import print_function\n\nimport re\nimport sys\nimport inspect\nimport operator\nimport itertools\nimport collections\n\n__version__ = '4.3.1'\n\nif sys.version >= '3':\n from inspect import getfullargspec\n\n def get_init(cls):\n return cls.__init__\nelse:\n FullArgSpec = collections.namedtuple(\n 'FullArgSpec', 'args varargs varkw defaults '\n 'kwonlyargs kwonlydefaults annotations')\n\n def getfullargspec(f):\n \"A quick and dirty replacement for getfullargspec for Python 2.X\"\n return FullArgSpec._make(inspect.getargspec(f) + ([], None, {}))\n\n def get_init(cls):\n return cls.__init__.__func__\n\ntry:\n iscoroutinefunction = inspect.iscoroutinefunction\nexcept AttributeError:\n # let's assume there are no coroutine functions in old Python\n def iscoroutinefunction(f):\n return False\n\n\nDEF = re.compile(r'\\s*def\\s*([_\\w][_\\w\\d]*)\\s*\\(')\n\n\n# basic functionality\nclass FunctionMaker(object):\n \"\"\"\n An object with the ability to create functions with a given signature.\n It has attributes name, doc, module, signature, defaults, dict and\n methods update and make.\n \"\"\"\n\n # Atomic get-and-increment provided by the GIL\n _compile_count = itertools.count()\n\n # make pylint happy\n args = varargs = varkw = defaults = kwonlyargs = kwonlydefaults = ()\n\n def __init__(self, func=None, name=None, signature=None,\n defaults=None, doc=None, module=None, funcdict=None):\n self.shortsignature = signature\n if func:\n # func can be a class or a callable, but not an instance method\n self.name = func.__name__\n if self.name == '': # small hack for lambda functions\n self.name = '_lambda_'\n self.doc = func.__doc__\n self.module = func.__module__\n if inspect.isfunction(func):\n argspec = getfullargspec(func)\n self.annotations = getattr(func, '__annotations__', {})\n for a in ('args', 'varargs', 'varkw', 'defaults', 'kwonlyargs',\n 'kwonlydefaults'):\n setattr(self, a, getattr(argspec, a))\n for i, arg in enumerate(self.args):\n setattr(self, 'arg%d' % i, arg)\n allargs = list(self.args)\n allshortargs = list(self.args)\n if self.varargs:\n allargs.append('*' + self.varargs)\n allshortargs.append('*' + self.varargs)\n elif self.kwonlyargs:\n allargs.append('*') # single star syntax\n for a in self.kwonlyargs:\n allargs.append('%s=None' % a)\n allshortargs.append('%s=%s' % (a, a))\n if self.varkw:\n allargs.append('**' + self.varkw)\n allshortargs.append('**' + self.varkw)\n self.signature = ', '.join(allargs)\n self.shortsignature = ', '.join(allshortargs)\n self.dict = func.__dict__.copy()\n # func=None happens when decorating a caller\n if name:\n self.name = name\n if signature is not None:\n self.signature = signature\n if defaults:\n self.defaults = defaults\n if doc:\n self.doc = doc\n if module:\n self.module = module\n if funcdict:\n self.dict = funcdict\n # check existence required attributes\n assert hasattr(self, 'name')\n if not hasattr(self, 'signature'):\n raise TypeError('You are decorating a non function: %s' % func)\n\n def update(self, func, **kw):\n \"Update the signature of func with the data in self\"\n func.__name__ = self.name\n func.__doc__ = getattr(self, 'doc', None)\n func.__dict__ = getattr(self, 'dict', {})\n func.__defaults__ = self.defaults\n func.__kwdefaults__ = self.kwonlydefaults or None\n func.__annotations__ = getattr(self, 'annotations', None)\n try:\n frame = sys._getframe(3)\n except AttributeError: # for IronPython and similar implementations\n callermodule = '?'\n else:\n callermodule = frame.f_globals.get('__name__', '?')\n func.__module__ = getattr(self, 'module', callermodule)\n func.__dict__.update(kw)\n\n def make(self, src_templ, evaldict=None, addsource=False, **attrs):\n \"Make a new function from a given template and update the signature\"\n src = src_templ % vars(self) # expand name and signature\n evaldict = evaldict or {}\n mo = DEF.search(src)\n if mo is None:\n raise SyntaxError('not a valid function template\\n%s' % src)\n name = mo.group(1) # extract the function name\n names = set([name] + [arg.strip(' *') for arg in\n self.shortsignature.split(',')])\n for n in names:\n if n in ('_func_', '_call_'):\n raise NameError('%s is overridden in\\n%s' % (n, src))\n\n if not src.endswith('\\n'): # add a newline for old Pythons\n src += '\\n'\n\n # Ensure each generated function has a unique filename for profilers\n # (such as cProfile) that depend on the tuple of (,\n # , ) being unique.\n filename = '<%s:decorator-gen-%d>' % (\n __file__, next(self._compile_count))\n try:\n code = compile(src, filename, 'single')\n exec(code, evaldict)\n except Exception:\n print('Error in generated code:', file=sys.stderr)\n print(src, file=sys.stderr)\n raise\n func = evaldict[name]\n if addsource:\n attrs['__source__'] = src\n self.update(func, **attrs)\n return func\n\n @classmethod\n def create(cls, obj, body, evaldict, defaults=None,\n doc=None, module=None, addsource=True, **attrs):\n \"\"\"\n Create a function from the strings name, signature and body.\n evaldict is the evaluation dictionary. If addsource is true an\n attribute __source__ is added to the result. The attributes attrs\n are added, if any.\n \"\"\"\n if isinstance(obj, str): # \"name(signature)\"\n name, rest = obj.strip().split('(', 1)\n signature = rest[:-1] # strip a right parens\n func = None\n else: # a function\n name = None\n signature = None\n func = obj\n self = cls(func, name, signature, defaults, doc, module)\n ibody = '\\n'.join(' ' + line for line in body.splitlines())\n caller = evaldict.get('_call_') # when called from `decorate`\n if caller and iscoroutinefunction(caller):\n body = ('async def %(name)s(%(signature)s):\\n' + ibody).replace(\n 'return', 'return await')\n else:\n body = 'def %(name)s(%(signature)s):\\n' + ibody\n return self.make(body, evaldict, addsource, **attrs)\n\n\ndef decorate(func, caller, extras=()):\n \"\"\"\n decorate(func, caller) decorates a function using a caller.\n \"\"\"\n evaldict = dict(_call_=caller, _func_=func)\n es = ''\n for i, extra in enumerate(extras):\n ex = '_e%d_' % i\n evaldict[ex] = extra\n es += ex + ', '\n fun = FunctionMaker.create(\n func, \"return _call_(_func_, %s%%(shortsignature)s)\" % es,\n evaldict, __wrapped__=func)\n if hasattr(func, '__qualname__'):\n fun.__qualname__ = func.__qualname__\n return fun\n\n\ndef decorator(caller, _func=None):\n \"\"\"decorator(caller) converts a caller function into a decorator\"\"\"\n if _func is not None: # return a decorated function\n # this is obsolete behavior; you should use decorate instead\n return decorate(_func, caller)\n # else return a decorator function\n defaultargs, defaults = '', ()\n if inspect.isclass(caller):\n name = caller.__name__.lower()\n doc = 'decorator(%s) converts functions/generators into ' \\\n 'factories of %s objects' % (caller.__name__, caller.__name__)\n elif inspect.isfunction(caller):\n if caller.__name__ == '':\n name = '_lambda_'\n else:\n name = caller.__name__\n doc = caller.__doc__\n nargs = caller.__code__.co_argcount\n ndefs = len(caller.__defaults__ or ())\n defaultargs = ', '.join(caller.__code__.co_varnames[nargs-ndefs:nargs])\n if defaultargs:\n defaultargs += ','\n defaults = caller.__defaults__\n else: # assume caller is an object with a __call__ method\n name = caller.__class__.__name__.lower()\n doc = caller.__call__.__doc__\n evaldict = dict(_call=caller, _decorate_=decorate)\n dec = FunctionMaker.create(\n '%s(%s func)' % (name, defaultargs),\n 'if func is None: return lambda func: _decorate_(func, _call, (%s))\\n'\n 'return _decorate_(func, _call, (%s))' % (defaultargs, defaultargs),\n evaldict, doc=doc, module=caller.__module__, __wrapped__=caller)\n if defaults:\n dec.__defaults__ = defaults + (None,)\n return dec\n\n\n# ####################### contextmanager ####################### #\n\ntry: # Python >= 3.2\n from contextlib import _GeneratorContextManager\nexcept ImportError: # Python >= 2.5\n from contextlib import GeneratorContextManager as _GeneratorContextManager\n\n\nclass ContextManager(_GeneratorContextManager):\n def __call__(self, func):\n \"\"\"Context manager decorator\"\"\"\n return FunctionMaker.create(\n func, \"with _self_: return _func_(%(shortsignature)s)\",\n dict(_self_=self, _func_=func), __wrapped__=func)\n\n\ninit = getfullargspec(_GeneratorContextManager.__init__)\nn_args = len(init.args)\nif n_args == 2 and not init.varargs: # (self, genobj) Python 2.7\n def __init__(self, g, *a, **k):\n return _GeneratorContextManager.__init__(self, g(*a, **k))\n ContextManager.__init__ = __init__\nelif n_args == 2 and init.varargs: # (self, gen, *a, **k) Python 3.4\n pass\nelif n_args == 4: # (self, gen, args, kwds) Python 3.5\n def __init__(self, g, *a, **k):\n return _GeneratorContextManager.__init__(self, g, a, k)\n ContextManager.__init__ = __init__\n\n_contextmanager = decorator(ContextManager)\n\n\ndef contextmanager(func):\n # Enable Pylint config: contextmanager-decorators=decorator.contextmanager\n return _contextmanager(func)\n\n\n# ############################ dispatch_on ############################ #\n\ndef append(a, vancestors):\n \"\"\"\n Append ``a`` to the list of the virtual ancestors, unless it is already\n included.\n \"\"\"\n add = True\n for j, va in enumerate(vancestors):\n if issubclass(va, a):\n add = False\n break\n if issubclass(a, va):\n vancestors[j] = a\n add = False\n if add:\n vancestors.append(a)\n\n\n# inspired from simplegeneric by P.J. Eby and functools.singledispatch\ndef dispatch_on(*dispatch_args):\n \"\"\"\n Factory of decorators turning a function into a generic function\n dispatching on the given arguments.\n \"\"\"\n assert dispatch_args, 'No dispatch args passed'\n dispatch_str = '(%s,)' % ', '.join(dispatch_args)\n\n def check(arguments, wrong=operator.ne, msg=''):\n \"\"\"Make sure one passes the expected number of arguments\"\"\"\n if wrong(len(arguments), len(dispatch_args)):\n raise TypeError('Expected %d arguments, got %d%s' %\n (len(dispatch_args), len(arguments), msg))\n\n def gen_func_dec(func):\n \"\"\"Decorator turning a function into a generic function\"\"\"\n\n # first check the dispatch arguments\n argset = set(getfullargspec(func).args)\n if not set(dispatch_args) <= argset:\n raise NameError('Unknown dispatch arguments %s' % dispatch_str)\n\n typemap = {}\n\n def vancestors(*types):\n \"\"\"\n Get a list of sets of virtual ancestors for the given types\n \"\"\"\n check(types)\n ras = [[] for _ in range(len(dispatch_args))]\n for types_ in typemap:\n for t, type_, ra in zip(types, types_, ras):\n if issubclass(t, type_) and type_ not in t.mro():\n append(type_, ra)\n return [set(ra) for ra in ras]\n\n def ancestors(*types):\n \"\"\"\n Get a list of virtual MROs, one for each type\n \"\"\"\n check(types)\n lists = []\n for t, vas in zip(types, vancestors(*types)):\n n_vas = len(vas)\n if n_vas > 1:\n raise RuntimeError(\n 'Ambiguous dispatch for %s: %s' % (t, vas))\n elif n_vas == 1:\n va, = vas\n mro = type('t', (t, va), {}).mro()[1:]\n else:\n mro = t.mro()\n lists.append(mro[:-1]) # discard t and object\n return lists\n\n def register(*types):\n \"\"\"\n Decorator to register an implementation for the given types\n \"\"\"\n check(types)\n\n def dec(f):\n check(getfullargspec(f).args, operator.lt, ' in ' + f.__name__)\n typemap[types] = f\n return f\n return dec\n\n def dispatch_info(*types):\n \"\"\"\n An utility to introspect the dispatch algorithm\n \"\"\"\n check(types)\n lst = []\n for anc in itertools.product(*ancestors(*types)):\n lst.append(tuple(a.__name__ for a in anc))\n return lst\n\n def _dispatch(dispatch_args, *args, **kw):\n types = tuple(type(arg) for arg in dispatch_args)\n try: # fast path\n f = typemap[types]\n except KeyError:\n pass\n else:\n return f(*args, **kw)\n combinations = itertools.product(*ancestors(*types))\n next(combinations) # the first one has been already tried\n for types_ in combinations:\n f = typemap.get(types_)\n if f is not None:\n return f(*args, **kw)\n\n # else call the default implementation\n return func(*args, **kw)\n\n return FunctionMaker.create(\n func, 'return _f_(%s, %%(shortsignature)s)' % dispatch_str,\n dict(_f_=_dispatch), register=register, default=func,\n typemap=typemap, vancestors=vancestors, ancestors=ancestors,\n dispatch_info=dispatch_info, __wrapped__=func)\n\n gen_func_dec.__name__ = 'dispatch_on' + dispatch_str\n return gen_func_dec\n" }, { "path": "pyinstrument/vendor/keypath.py", "content": "# keypath vendored from https://github.com/fictorial/keypath\n\n# keypath is released under the BSD license:\n\n# Copyright 2016, Fictorial LLC\n\n# Redistribution and use in source and binary forms, with or without\n# modification, are permitted provided that the following conditions\n# are met:\n\n# * Redistributions of source code must retain the above\n# copyright notice, this list of conditions and the following\n# disclaimer.\n\n# * Redistributions in binary form must reproduce the above\n# copyright notice, this list of conditions and the following\n# disclaimer in the documentation and/or other materials\n# provided with the distribution.\n\n# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDER “AS IS” AND ANY\n# EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\n# IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR\n# PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER BE\n# LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY,\n# OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,\n# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR\n# PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY\n# THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR\n# TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF\n# THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF\n# SUCH DAMAGE.\n#\n# Includes modifications by joerick, which fall under the same license.\n\nfrom typing import Any\n\n\ndef value_at_keypath(obj: Any, keypath: str) -> Any:\n \"\"\"\n Returns value at given key path which follows dotted-path notation.\n\n >>> x = dict(a=1, b=2, c=dict(d=3, e=4, f=[2,dict(x='foo', y='bar'),5]))\n >>> assert value_at_keypath(x, 'a') == 1\n >>> assert value_at_keypath(x, 'b') == 2\n >>> assert value_at_keypath(x, 'c.d') == 3\n >>> assert value_at_keypath(x, 'c.e') == 4\n >>> assert value_at_keypath(x, 'c.f.0') == 2\n >>> assert value_at_keypath(x, 'c.f.-1') == 5\n >>> assert value_at_keypath(x, 'c.f.1.y') == 'bar'\n\n \"\"\"\n for part in keypath.split('.'):\n if isinstance(obj, dict):\n obj = obj.get(part, {})\n elif type(obj) in [tuple, list]:\n obj = obj[int(part)]\n else:\n obj = getattr(obj, part, {})\n return obj\n\n\ndef set_value_at_keypath(obj: Any, keypath: str, val: Any):\n \"\"\"\n Sets value at given key path which follows dotted-path notation.\n\n Each part of the keypath must already exist in the target value\n along the path.\n\n >>> x = dict(a=1, b=2, c=dict(d=3, e=4, f=[2,dict(x='foo', y='bar'),5]))\n >>> assert set_value_at_keypath(x, 'a', 2)\n >>> assert value_at_keypath(x, 'a') == 2\n >>> assert set_value_at_keypath(x, 'c.f.-1', 6)\n >>> assert value_at_keypath(x, 'c.f.-1') == 6\n \"\"\"\n parts = keypath.split('.')\n for part in parts[:-1]:\n if isinstance(obj, dict):\n obj = obj[part]\n elif type(obj) in [tuple, list]:\n obj = obj[int(part)]\n else:\n obj = getattr(obj, part)\n last_part = parts[-1]\n if isinstance(obj, dict):\n obj[last_part] = val\n elif type(obj) in [tuple, list]:\n obj[int(last_part)] = val\n else:\n setattr(obj, last_part, val)\n return True\n" }, { "path": "pyproject.toml", "content": "[build-system]\nrequires = [\"setuptools\", \"wheel\"]\nbuild-backend = \"setuptools.build_meta\"\n\n[tool.black]\nline-length = 100\n\n[tool.pyright]\ninclude = [\"pyinstrument\", \"test\"]\nignore = [\"pyinstrument/vendor\"]\npythonVersion = \"3.8\"\n\n[tool.isort]\nprofile = \"black\"\nmulti_line_output = 3\nline_length = 100\n" }, { "path": "requirements-dev.txt", "content": "-e .[test,bin,docs,examples,types]\n" }, { "path": "setup.cfg", "content": "[aliases]\ntest = pytest\n\n[tool:pytest]\ntestpaths = test\n" }, { "path": "setup.py", "content": "import os\nfrom pathlib import Path\n\nfrom setuptools import Extension, find_namespace_packages, setup\n\nPROJECT_ROOT = Path(__file__).parent\nlong_description = (PROJECT_ROOT / \"README.md\").read_text(encoding=\"utf8\")\n\nsetup(\n name=\"pyinstrument\",\n packages=find_namespace_packages(include=[\"pyinstrument*\"]),\n version=\"5.1.2\",\n ext_modules=[\n Extension(\n \"pyinstrument.low_level.stat_profile\",\n sources=[\n \"pyinstrument/low_level/stat_profile.c\",\n \"pyinstrument/low_level/pyi_floatclock.c\",\n \"pyinstrument/low_level/pyi_timing_thread.c\",\n ],\n )\n ],\n description=\"Call stack profiler for Python. Shows you why your code is slow!\",\n long_description=long_description,\n long_description_content_type=\"text/markdown\",\n author=\"Joe Rickerby\",\n author_email=\"joerick@mac.com\",\n url=\"https://github.com/joerick/pyinstrument\",\n keywords=[\"profiling\", \"profile\", \"profiler\", \"cpu\", \"time\", \"sampling\"],\n install_requires=[],\n extras_require={\n \"test\": [\n \"pytest\",\n \"flaky\",\n \"trio\",\n \"cffi >= 1.17.0\",\n \"greenlet>=3\",\n # pinned to an older version due to an incompatibility with flaky\n \"pytest-asyncio==0.23.8\",\n \"ipython\",\n ],\n \"bin\": [\n \"click\",\n \"nox\",\n ],\n \"docs\": [\n \"sphinx==7.4.7\",\n \"myst-parser==3.0.1\",\n \"furo==2024.7.18\",\n \"sphinxcontrib-programoutput==0.17\",\n \"sphinx-autobuild==2024.4.16\",\n ],\n \"examples\": [\n \"numpy\",\n \"django\",\n \"litestar\",\n ],\n \"types\": [\n \"typing_extensions\",\n ],\n },\n include_package_data=True,\n python_requires=\">=3.8\",\n entry_points={\"console_scripts\": [\"pyinstrument = pyinstrument.__main__:main\"]},\n zip_safe=False,\n classifiers=[\n \"Environment :: Console\",\n \"Environment :: Web Environment\",\n \"Intended Audience :: Developers\",\n \"License :: OSI Approved :: BSD License\",\n \"Operating System :: MacOS\",\n \"Operating System :: Microsoft :: Windows\",\n \"Operating System :: POSIX\",\n \"Topic :: Software Development :: Debuggers\",\n \"Topic :: Software Development :: Testing\",\n ],\n)\n" }, { "path": "test/__init__.py", "content": "" }, { "path": "test/conftest.py", "content": "import sys\n\nimport pytest\n\nfrom pyinstrument import stack_sampler\n\n\ndef pytest_addoption(parser) -> None:\n # IPython tests seem to pollute the test environment, so they're run in a\n # separate process.\n\n parser.addoption(\n \"--only-ipython-magic\",\n action=\"store_true\",\n default=False,\n help=\"run only ipython magic tests\",\n )\n\n\ndef pytest_configure(config):\n config.addinivalue_line(\n \"markers\", \"ipythonmagic: test requires --only-ipython-magic flag to run\"\n )\n\n\ndef pytest_collection_modifyitems(config, items) -> None:\n flag_was_passed = config.getoption(\"--only-ipython-magic\")\n\n skip_not_ipython = pytest.mark.skip(reason=\"not an ipython test\")\n skip_ipython = pytest.mark.skip(reason=\"requires --only-ipython-magic option to run\")\n\n for item in items:\n if \"ipythonmagic\" in item.keywords:\n if not flag_was_passed:\n item.add_marker(skip_ipython)\n else:\n if flag_was_passed:\n item.add_marker(skip_not_ipython)\n\n\n@pytest.fixture(autouse=True)\ndef check_sampler_state():\n assert sys.getprofile() is None\n assert len(stack_sampler.get_stack_sampler().subscribers) == 0\n\n try:\n yield\n assert sys.getprofile() is None\n assert len(stack_sampler.get_stack_sampler().subscribers) == 0\n finally:\n sys.setprofile(None)\n stack_sampler.thread_locals.__dict__.clear()\n" }, { "path": "test/fake_time_util.py", "content": "import asyncio\nimport contextlib\nimport functools\nimport random\nfrom typing import TYPE_CHECKING\nfrom unittest import mock\n\nfrom pyinstrument import stack_sampler\n\nif TYPE_CHECKING:\n from trio.testing import MockClock\n\n\nclass FakeClock:\n def __init__(self) -> None:\n self.time = random.random() * 1e6\n\n def get_time(self):\n return self.time\n\n def sleep(self, duration):\n self.time += duration\n\n\n@contextlib.contextmanager\ndef fake_time(fake_clock=None):\n fake_clock = fake_clock or FakeClock()\n stack_sampler.get_stack_sampler().timer_func = fake_clock.get_time\n\n try:\n with mock.patch(\"time.sleep\", new=fake_clock.sleep):\n yield fake_clock\n finally:\n stack_sampler.get_stack_sampler().timer_func = None\n\n\nclass FakeClockAsyncio:\n # this implementation mostly lifted from\n # https://aiotools.readthedocs.io/en/latest/_modules/aiotools/timer.html#VirtualClock\n # License: https://github.com/achimnol/aiotools/blob/800f7f1bce086b0c83658bad8377e6cb1908e22f/LICENSE\n # Copyright (c) 2017 Joongi Kim\n def __init__(self) -> None:\n self.time = random.random() * 1e6\n\n def get_time(self):\n return self.time\n\n def sleep(self, duration):\n self.time += duration\n\n def _virtual_select(self, orig_select, timeout):\n self.time += timeout\n return orig_select(0) # override the timeout to zero\n\n\n@contextlib.contextmanager\ndef fake_time_asyncio(loop=None):\n loop = loop or asyncio.get_running_loop()\n fake_clock = FakeClockAsyncio()\n\n # fmt: off\n with mock.patch.object(\n loop._selector, # type: ignore\n \"select\",\n new=functools.partial(fake_clock._virtual_select, loop._selector.select), # type: ignore\n ), mock.patch.object(\n loop,\n \"time\",\n new=fake_clock.get_time\n ), fake_time(fake_clock):\n yield fake_clock\n # fmt: on\n\n\nclass FakeClockTrio:\n def __init__(self, clock: \"MockClock\") -> None:\n self.trio_clock = clock\n\n def get_time(self):\n return self.trio_clock.current_time()\n\n def sleep(self, duration):\n self.trio_clock.jump(duration)\n\n\n@contextlib.contextmanager\ndef fake_time_trio():\n from trio.testing import MockClock\n\n trio_clock = MockClock(autojump_threshold=0)\n fake_clock = FakeClockTrio(trio_clock)\n\n with fake_time(fake_clock):\n yield fake_clock\n" }, { "path": "test/low_level/__init__.py", "content": "" }, { "path": "test/low_level/test_context.py", "content": "from __future__ import annotations\n\nimport contextvars\nimport time\nfrom typing import Any\n\nimport pytest\n\nfrom ..util import busy_wait\nfrom .util import parametrize_setstatprofile\n\n\n@parametrize_setstatprofile\ndef test_context_type(setstatprofile):\n with pytest.raises(TypeError):\n setstatprofile(lambda f, e, a: 0, 1e6, \"not a context var\")\n setstatprofile(None)\n\n\nprofiler_context_var: contextvars.ContextVar[object | None] = contextvars.ContextVar(\n \"profiler_context_var\", default=None\n)\n\n\n@parametrize_setstatprofile\ndef test_context_tracking(setstatprofile):\n profile_calls = []\n\n def profile_callback(frame, event, arg):\n nonlocal profile_calls\n profile_calls.append((frame, event, arg))\n\n profiler_1 = object()\n profiler_2 = object()\n\n context_1 = contextvars.copy_context()\n context_2 = contextvars.copy_context()\n\n context_1.run(profiler_context_var.set, profiler_1)\n context_2.run(profiler_context_var.set, profiler_2)\n\n setstatprofile(\n profile_callback,\n 1e10, # set large interval so we only get context_change events\n profiler_context_var,\n )\n\n context_1.run(busy_wait, 0.001)\n context_2.run(busy_wait, 0.001)\n\n setstatprofile(None)\n\n assert all(c[1] == \"context_changed\" for c in profile_calls)\n assert len(profile_calls) == 4\n\n new, old, _ = profile_calls[0][2]\n assert old is None\n assert new is profiler_1\n\n new, old, _ = profile_calls[1][2]\n assert old is profiler_1\n assert new is None\n\n new, old, _ = profile_calls[2][2]\n assert old is None\n assert new is profiler_2\n\n new, old, _ = profile_calls[3][2]\n assert old is profiler_2\n assert new is None\n" }, { "path": "test/low_level/test_custom_timer.py", "content": "from typing import Any\n\nfrom .util import parametrize_setstatprofile\n\n\nclass CallCounter:\n def __init__(self) -> None:\n self.count = 0\n\n def __call__(self, *args: Any, **kwds: Any) -> Any:\n self.count += 1\n\n\n@parametrize_setstatprofile\ndef test_increment(setstatprofile):\n time = 0.0\n\n def fake_time():\n return time\n\n def fake_sleep(duration):\n nonlocal time\n time += duration\n\n counter = CallCounter()\n\n setstatprofile(counter, timer_func=fake_time, timer_type=\"timer_func\")\n\n for _ in range(100):\n fake_sleep(1.0)\n\n setstatprofile(None)\n\n assert counter.count == 100\n" }, { "path": "test/low_level/test_floatclock.py", "content": "import ctypes\nimport time\n\nimport pytest\n\nimport pyinstrument.low_level.stat_profile as native_module\n\nlib = ctypes.CDLL(native_module.__file__)\n\npyi_floatclock = lib.pyi_floatclock\npyi_floatclock.argtypes = [ctypes.c_int]\npyi_floatclock.restype = ctypes.c_double\n\n\ndef test_floatclock():\n time_a = pyi_floatclock(0)\n time.sleep(0.001)\n time_b = pyi_floatclock(0)\n assert time_b > time_a\n\n\ndef test_is_in_seconds():\n floatclock_time_a = pyi_floatclock(0)\n time_a = time.time()\n\n time.sleep(0.1)\n\n floatclock_time_b = pyi_floatclock(0)\n time_b = time.time()\n\n floatclock_duration = floatclock_time_b - floatclock_time_a\n duration = time_b - time_a\n\n assert floatclock_duration == pytest.approx(duration, rel=0.1)\n" }, { "path": "test/low_level/test_frame_info.py", "content": "import inspect\n\nimport pytest\n\nfrom pyinstrument.low_level import stat_profile as stat_profile_c\nfrom pyinstrument.low_level import stat_profile_python\n\n\nclass AClass:\n def get_frame_info_for_a_method(self, getter_function, del_local):\n if del_local:\n del self\n frame = inspect.currentframe()\n assert frame\n return getter_function(frame)\n\n def get_frame_info_with_cell_variable(self, getter_function, del_local):\n def an_inner_function():\n # reference self to make it a cell variable\n if self:\n pass\n\n if del_local:\n del self\n frame = inspect.currentframe()\n assert frame\n\n return getter_function(frame)\n\n @classmethod\n def get_frame_info_for_a_class_method(cls, getter_function, del_local):\n if del_local:\n del cls\n frame = inspect.currentframe()\n assert frame\n return getter_function(frame)\n\n @classmethod\n def get_frame_info_for_a_class_method_where_cls_is_reassigned(cls, getter_function, del_local):\n cls = 1\n if del_local:\n del cls\n frame = inspect.currentframe()\n assert frame\n return getter_function(frame)\n\n\ndef test_frame_info():\n frame = inspect.currentframe()\n\n assert frame\n assert stat_profile_c.get_frame_info(frame) == stat_profile_python.get_frame_info(frame)\n\n\ndef test_frame_info_hide_true():\n __tracebackhide__ = True\n\n frame = inspect.currentframe()\n\n assert frame\n assert stat_profile_c.get_frame_info(frame) == stat_profile_python.get_frame_info(frame)\n\n\ndef test_frame_info_hide_false():\n \"\"\"to avoid calling FastToLocals on the c side,\n __tracebackhide__ = True\n and\n __tracebackhide__ = False\n are treated the same. All that matters is that the var is defined\n \"\"\"\n __tracebackhide__ = False\n\n frame = inspect.currentframe()\n\n assert frame\n assert stat_profile_c.get_frame_info(frame) == stat_profile_python.get_frame_info(frame)\n\n\ninstance = AClass()\n\n\n@pytest.mark.parametrize(\n \"test_function\",\n [\n instance.get_frame_info_for_a_method,\n AClass.get_frame_info_for_a_class_method,\n instance.get_frame_info_with_cell_variable,\n AClass.get_frame_info_for_a_class_method_where_cls_is_reassigned,\n ],\n)\n@pytest.mark.parametrize(\"del_local\", [True, False])\ndef test_frame_info_with_classes(test_function, del_local):\n c_frame_info = test_function(stat_profile_c.get_frame_info, del_local=del_local)\n py_frame_info = test_function(stat_profile_python.get_frame_info, del_local=del_local)\n\n assert c_frame_info == py_frame_info\n" }, { "path": "test/low_level/test_setstatprofile.py", "content": "import sys\nimport time\nfrom typing import Any\n\nimport pytest\n\nfrom ..util import busy_wait, flaky_in_ci\nfrom .util import parametrize_setstatprofile\n\n\nclass CallCounter:\n def __init__(self) -> None:\n self.count = 0\n\n def __call__(self, *args: Any, **kwds: Any) -> Any:\n self.count += 1\n\n\n@flaky_in_ci\n@parametrize_setstatprofile\ndef test_100ms(setstatprofile):\n counter = CallCounter()\n setstatprofile(counter, 0.1)\n busy_wait(1.0)\n setstatprofile(None)\n assert 8 < counter.count < 12\n\n\n@flaky_in_ci\n@parametrize_setstatprofile\ndef test_10ms(setstatprofile):\n counter = CallCounter()\n setstatprofile(counter, 0.01)\n busy_wait(1.0)\n setstatprofile(None)\n assert 70 <= counter.count <= 130\n\n\n@parametrize_setstatprofile\ndef test_internal_object_compatibility(setstatprofile):\n setstatprofile(CallCounter(), 1e6)\n\n profile_state = sys.getprofile()\n\n print(repr(profile_state))\n print(str(profile_state))\n print(profile_state)\n print(type(profile_state))\n print(type(profile_state).__name__) # type: ignore\n\n setstatprofile(None)\n" }, { "path": "test/low_level/test_threaded.py", "content": "from __future__ import annotations\n\nimport threading\nimport time\nfrom typing import Any, List\nfrom unittest import TestCase\n\nimport pytest\n\nfrom pyinstrument.low_level.stat_profile import setstatprofile\n\nfrom ..util import busy_wait, do_nothing\n\n\nclass CallCounter:\n def __init__(self, thread) -> None:\n self.thread = thread\n self.count = 0\n\n def __call__(self, *args: Any, **kwds: Any) -> Any:\n assert self.thread is threading.current_thread()\n self.count += 1\n\n\ndef test_threaded():\n # assert that each thread gets its own callbacks, and check that it\n # doesn't crash!\n\n counters: list[CallCounter | None] = [None for _ in range(10)]\n stop = False\n\n def profile_a_busy_wait(i):\n thread = threads[i]\n counter = CallCounter(thread)\n counters[i] = counter\n\n setstatprofile(counter, 0.001)\n while not stop:\n do_nothing()\n setstatprofile(None)\n\n threads = [threading.Thread(target=profile_a_busy_wait, args=(i,)) for i in range(10)]\n for thread in threads:\n thread.start()\n\n while not stop:\n stop = all(c is not None and c.count > 10 for c in counters)\n\n for thread in threads:\n thread.join()\n" }, { "path": "test/low_level/test_timing_thread.py", "content": "import ctypes\nimport os\nimport sys\nimport time\n\nimport pyinstrument.low_level.stat_profile as native_module\n\nfrom ..util import busy_wait, flaky_in_ci\n\nlib = ctypes.CDLL(native_module.__file__)\n\npyi_timing_thread_subscribe = lib.pyi_timing_thread_subscribe\npyi_timing_thread_subscribe.argtypes = [ctypes.c_double]\npyi_timing_thread_subscribe.restype = ctypes.c_int\n\npyi_timing_thread_get_time = lib.pyi_timing_thread_get_time\npyi_timing_thread_get_time.argtypes = []\npyi_timing_thread_get_time.restype = ctypes.c_double\n\npyi_timing_thread_get_interval = lib.pyi_timing_thread_get_interval\npyi_timing_thread_get_interval.argtypes = []\npyi_timing_thread_get_interval.restype = ctypes.c_double\n\npyi_timing_thread_unsubscribe = lib.pyi_timing_thread_unsubscribe\npyi_timing_thread_unsubscribe.argtypes = [ctypes.c_int]\npyi_timing_thread_unsubscribe.restype = ctypes.c_int\n\nPYI_TIMING_THREAD_UNKNOWN_ERROR = -1\nPYI_TIMING_THREAD_TOO_MANY_SUBSCRIBERS = -2\n\n\nif sys.platform == \"win32\":\n # on windows, the thread scheduling 'quanta', the time that a thread can run\n # before potentially being pre-empted, is 20-30ms. This means that the\n # worst-case, we have to wait 30ms before the timing thread gets a chance to\n # run. This isn't really a huge problem in practice, because thread-based\n # timing isn't much use on windows, since the synchronous timing functions are\n # so fast.\n WAIT_TIME = 0.03\nelif os.environ.get(\"QEMU_EMULATED\"):\n # the scheduler seems slower under emulation\n WAIT_TIME = 0.2\nelse:\n WAIT_TIME = 0.015\n\n\n@flaky_in_ci\ndef test():\n # check the thread isn't running to begin with\n assert pyi_timing_thread_get_interval() == -1\n\n time_before = pyi_timing_thread_get_time()\n time.sleep(WAIT_TIME)\n assert pyi_timing_thread_get_time() == time_before\n\n # subscribe\n subscription_id = pyi_timing_thread_subscribe(0.001)\n try:\n assert subscription_id >= 0\n\n assert pyi_timing_thread_get_interval() == 0.001\n\n # check it's updating\n busy_wait(WAIT_TIME)\n time_a = pyi_timing_thread_get_time()\n assert time_a > time_before\n busy_wait(WAIT_TIME)\n time_b = pyi_timing_thread_get_time()\n assert time_b > time_a\n\n # unsubscribe\n assert pyi_timing_thread_unsubscribe(subscription_id) == 0\n\n assert pyi_timing_thread_get_interval() == -1\n\n # check it's stopped updating\n time.sleep(WAIT_TIME)\n time_c = pyi_timing_thread_get_time()\n time.sleep(WAIT_TIME)\n time_d = pyi_timing_thread_get_time()\n assert time_c == time_d\n finally:\n # ensure the subscriber is removed even if the test fails\n pyi_timing_thread_unsubscribe(subscription_id)\n\n\ndef test_max_subscribers():\n subscription_ids = []\n\n try:\n for i in range(1000):\n subscription_id = pyi_timing_thread_subscribe(0.001)\n assert subscription_id >= 0\n subscription_ids.append(subscription_id)\n\n # the next one should fail\n assert pyi_timing_thread_subscribe(0.001) == PYI_TIMING_THREAD_TOO_MANY_SUBSCRIBERS\n\n # unsubscribe them in FIFO order\n for subscription_id in subscription_ids:\n assert pyi_timing_thread_get_interval() == 0.001\n assert pyi_timing_thread_unsubscribe(subscription_id) == 0\n\n # check there are no subscribers left\n assert pyi_timing_thread_get_interval() == -1\n finally:\n # ensure all subscription ids are removed even if the test fails\n while subscription_ids:\n subscription_id = subscription_ids.pop()\n pyi_timing_thread_unsubscribe(subscription_id)\n" }, { "path": "test/low_level/util.py", "content": "import functools\n\nimport pytest\n\nfrom pyinstrument.low_level.stat_profile import setstatprofile as setstatprofile_c\nfrom pyinstrument.low_level.stat_profile_python import setstatprofile as setstatprofile_python\n\n\"\"\"\nParametrizes the test with both the C and Python setstatprofile, just to check\nthat the Python one is up-to-date with the C version.\n\"\"\"\nparametrize_setstatprofile = pytest.mark.parametrize(\n \"setstatprofile\",\n [setstatprofile_c, setstatprofile_python],\n)\n" }, { "path": "test/test_cmdline.py", "content": "import os\nimport re\nimport subprocess\nimport sys\nimport textwrap\nfrom pathlib import Path\n\nimport pytest\n\nfrom .util import BUSY_WAIT_SCRIPT\n\nEXECUTION_DETAILS_SCRIPT = f\"\"\"\n#!{sys.executable}\nimport sys, os\nprint('__name__', __name__, file=sys.stderr)\nprint('sys.argv', sys.argv, file=sys.stderr)\nprint('sys.executable', os.path.realpath(sys.executable), file=sys.stderr)\nprint('os.getcwd()', os.getcwd(), file=sys.stderr)\n\"\"\".strip()\n\n\n@pytest.mark.parametrize(\n \"pyinstrument_invocation\",\n ([\"pyinstrument\"], [sys.executable, \"-m\", \"pyinstrument\"]),\n)\nclass TestCommandLine:\n @pytest.fixture(autouse=True)\n def _suppress_warnings(self, monkeypatch: pytest.MonkeyPatch):\n monkeypatch.setenv(\"PYINSTRUMENT_IGNORE_OVERHEAD_WARNING\", \"1\")\n\n def test_command_line(self, pyinstrument_invocation, tmp_path: Path):\n busy_wait_py = tmp_path / \"busy_wait.py\"\n busy_wait_py.write_text(BUSY_WAIT_SCRIPT)\n\n # need to wrap Paths with str() due to CPython bug 33617 (fixed in Python 3.8)\n output = subprocess.check_output([*pyinstrument_invocation, str(busy_wait_py)])\n\n assert \"busy_wait\" in str(output)\n assert \"do_nothing\" in str(output)\n\n def test_module_running(self, pyinstrument_invocation, tmp_path: Path):\n (tmp_path / \"busy_wait_module\").mkdir()\n (tmp_path / \"busy_wait_module\" / \"__init__.py\").touch()\n (tmp_path / \"busy_wait_module\" / \"__main__.py\").write_text(BUSY_WAIT_SCRIPT)\n\n output = subprocess.check_output(\n [*pyinstrument_invocation, \"-m\", \"busy_wait_module\"], cwd=tmp_path\n )\n\n assert \"busy_wait\" in str(output)\n assert \"do_nothing\" in str(output)\n\n def test_single_file_module_running(self, pyinstrument_invocation, tmp_path: Path):\n busy_wait_py = tmp_path / \"busy_wait.py\"\n busy_wait_py.write_text(BUSY_WAIT_SCRIPT)\n\n output = subprocess.check_output(\n [*pyinstrument_invocation, \"-m\", \"busy_wait\"], cwd=tmp_path\n )\n\n assert \"busy_wait\" in str(output)\n assert \"do_nothing\" in str(output)\n\n def test_running_yourself_as_module(self, pyinstrument_invocation):\n subprocess.check_call(\n [*pyinstrument_invocation, \"-m\", \"pyinstrument\", \"--help\"],\n )\n\n def test_path(self, pyinstrument_invocation, tmp_path: Path, monkeypatch):\n if sys.platform == \"win32\":\n pytest.skip(\"--from-path is not supported on Windows\")\n\n program_path = tmp_path / \"pyi_test_program\"\n\n program_path.write_text(BUSY_WAIT_SCRIPT)\n program_path.chmod(0x755)\n monkeypatch.setenv(\"PATH\", str(tmp_path), prepend=os.pathsep)\n\n subprocess.check_call(\n [*pyinstrument_invocation, \"--from-path\", \"--\", \"pyi_test_program\"],\n )\n\n def test_program_passed_as_string(self, pyinstrument_invocation, tmp_path: Path):\n # check the program actually runs\n output_file = tmp_path / \"output.txt\"\n output = subprocess.check_output(\n [\n *pyinstrument_invocation,\n \"-c\",\n textwrap.dedent(\n f\"\"\"\n import sys\n from pathlib import Path\n output_file = Path(sys.argv[1])\n output_file.write_text(\"Hello World\")\n print(\"Finished.\")\n \"\"\"\n ),\n str(output_file),\n ],\n )\n\n assert \"Finished.\" in str(output)\n assert output_file.read_text() == \"Hello World\"\n\n # check the output\n output = subprocess.check_output([*pyinstrument_invocation, \"-c\", BUSY_WAIT_SCRIPT])\n\n print(output.decode(\"utf-8\"))\n\n assert \"busy_wait\" in str(output)\n assert \"do_nothing\" in str(output)\n\n def test_script_execution_details(self, pyinstrument_invocation, tmp_path: Path):\n program_path = tmp_path / \"program.py\"\n program_path.write_text(EXECUTION_DETAILS_SCRIPT)\n\n process_pyi = subprocess.run(\n [*pyinstrument_invocation, str(program_path), \"arg1\", \"arg2\"],\n stderr=subprocess.PIPE,\n check=True,\n text=True,\n )\n process_native = subprocess.run(\n [sys.executable, str(program_path), \"arg1\", \"arg2\"],\n stderr=subprocess.PIPE,\n check=True,\n text=True,\n )\n\n print(\"process_pyi.stderr\", process_pyi.stderr)\n print(\"process_native.stderr\", process_native.stderr)\n assert process_pyi.stderr == process_native.stderr\n\n def test_module_execution_details(self, pyinstrument_invocation, tmp_path: Path):\n (tmp_path / \"test_module\").mkdir()\n (tmp_path / \"test_module\" / \"__init__.py\").touch()\n (tmp_path / \"test_module\" / \"__main__.py\").write_text(EXECUTION_DETAILS_SCRIPT)\n\n process_pyi = subprocess.run(\n [*pyinstrument_invocation, \"-m\", \"test_module\", \"arg1\", \"arg2\"],\n stderr=subprocess.PIPE,\n check=True,\n cwd=tmp_path,\n text=True,\n )\n process_native = subprocess.run(\n [sys.executable, \"-m\", \"test_module\", \"arg1\", \"arg2\"],\n stderr=subprocess.PIPE,\n check=True,\n cwd=tmp_path,\n text=True,\n )\n\n print(\"process_pyi.stderr\", process_pyi.stderr)\n print(\"process_native.stderr\", process_native.stderr)\n assert process_native.stderr\n assert process_pyi.stderr == process_native.stderr\n\n def test_path_execution_details(self, pyinstrument_invocation, tmp_path: Path, monkeypatch):\n if sys.platform == \"win32\":\n pytest.skip(\"--from-path is not supported on Windows\")\n\n program_path = tmp_path / \"pyi_test_program\"\n program_path.write_text(EXECUTION_DETAILS_SCRIPT)\n program_path.chmod(0x755)\n monkeypatch.setenv(\"PATH\", str(tmp_path), prepend=os.pathsep)\n\n process_pyi = subprocess.run(\n [\n *pyinstrument_invocation,\n \"--from-path\",\n \"--\",\n \"pyi_test_program\",\n \"arg1\",\n \"arg2\",\n ],\n stderr=subprocess.PIPE,\n check=True,\n text=True,\n )\n process_native = subprocess.run(\n [\"pyi_test_program\", \"arg1\", \"arg2\"],\n stderr=subprocess.PIPE,\n check=True,\n text=True,\n )\n\n print(\"process_pyi.stderr\", process_pyi.stderr)\n print(\"process_native.stderr\", process_native.stderr)\n assert process_pyi.stderr == process_native.stderr\n\n def test_program_passed_as_string_execution_details(\n self, pyinstrument_invocation, tmp_path: Path\n ):\n process_pyi = subprocess.run(\n [*pyinstrument_invocation, \"-c\", EXECUTION_DETAILS_SCRIPT],\n stderr=subprocess.PIPE,\n check=True,\n text=True,\n )\n process_native = subprocess.run(\n [sys.executable, \"-c\", EXECUTION_DETAILS_SCRIPT],\n stderr=subprocess.PIPE,\n check=True,\n text=True,\n )\n\n print(\"process_pyi.stderr\", process_pyi.stderr)\n print(\"process_native.stderr\", process_native.stderr)\n assert process_native.stderr\n assert process_pyi.stderr == process_native.stderr\n\n def test_session_save_and_load(self, pyinstrument_invocation, tmp_path: Path):\n busy_wait_py = tmp_path / \"busy_wait.py\"\n busy_wait_py.write_text(BUSY_WAIT_SCRIPT)\n\n session_file = tmp_path / \"session.pyisession\"\n\n subprocess.check_call(\n [\n *pyinstrument_invocation,\n \"--renderer=session\",\n f\"--outfile={session_file}\",\n str(busy_wait_py),\n ]\n )\n\n # check it's a valid Session file\n from pyinstrument.session import Session\n\n Session.load(session_file)\n\n # run pyinstrument again to render the output\n output = subprocess.check_output([*pyinstrument_invocation, f\"--load={session_file}\"])\n assert \"busy_wait\" in str(output)\n assert \"do_nothing\" in str(output)\n\n def test_interval(self, pyinstrument_invocation, tmp_path: Path):\n busy_wait_py = tmp_path / \"busy_wait.py\"\n busy_wait_py.write_text(BUSY_WAIT_SCRIPT)\n\n output = subprocess.check_output(\n [\n *pyinstrument_invocation,\n \"--interval\",\n \"0.002\",\n str(busy_wait_py),\n ]\n )\n\n assert \"busy_wait\" in str(output)\n assert \"do_nothing\" in str(output)\n\n def test_invocation_machinery_is_trimmed(self, pyinstrument_invocation, tmp_path: Path):\n busy_wait_py = tmp_path / \"busy_wait.py\"\n busy_wait_py.write_text(BUSY_WAIT_SCRIPT)\n\n output = subprocess.check_output(\n [\n *pyinstrument_invocation,\n \"--show-all\",\n str(busy_wait_py),\n ],\n universal_newlines=True,\n )\n\n print(\"Output:\")\n print(output)\n\n first_profiling_line = re.search(r\"^\\d+(\\.\\d+)?\\s+([^\\s]+)\\s+(.*)\", output, re.MULTILINE)\n assert first_profiling_line\n\n function_name = first_profiling_line.group(2)\n location = first_profiling_line.group(3)\n\n assert function_name == \"\"\n assert \"busy_wait.py\" in location\n\n def test_target_description(self, pyinstrument_invocation, tmp_path: Path):\n busy_wait_py = tmp_path / \"busy_wait.py\"\n busy_wait_py.write_text(BUSY_WAIT_SCRIPT)\n\n output = subprocess.check_output(\n [\n *pyinstrument_invocation,\n \"--target-description\",\n \"'foobar'\",\n str(busy_wait_py),\n ]\n )\n\n assert \"foobar\" in str(output)\n\n def test_target_description_format(self, pyinstrument_invocation, tmp_path: Path):\n busy_wait_py = tmp_path / \"busy_wait.py\"\n busy_wait_py.write_text(BUSY_WAIT_SCRIPT)\n\n output = subprocess.check_output(\n [\n *pyinstrument_invocation,\n \"--target-description\",\n \"'foobar {args}'\",\n str(busy_wait_py),\n ]\n )\n\n assert f\"foobar {busy_wait_py}\" in str(output)\n\n def test_target_description_format_errors(self, pyinstrument_invocation, tmp_path: Path):\n busy_wait_py = tmp_path / \"busy_wait.py\"\n busy_wait_py.write_text(BUSY_WAIT_SCRIPT)\n\n result = subprocess.run(\n [\n *pyinstrument_invocation,\n \"--target-description\",\n \"''{foo}'\",\n str(busy_wait_py),\n ],\n text=True,\n stderr=subprocess.PIPE,\n )\n\n assert f\"Unknown placeholder 'foo'\" in str(result.stderr)\n assert result.returncode == 2\n\n result = subprocess.run(\n [\n *pyinstrument_invocation,\n \"--target-description\",\n \"''{}'\",\n str(busy_wait_py),\n ],\n text=True,\n stderr=subprocess.PIPE,\n )\n\n assert f\"Empty placeholder\" in str(result.stderr)\n assert result.returncode == 2\n\n def test_binary_output(self, pyinstrument_invocation, tmp_path: Path):\n busy_wait_py = tmp_path / \"busy_wait.py\"\n busy_wait_py.write_text(BUSY_WAIT_SCRIPT)\n\n output_file = tmp_path / \"output.pstats\"\n\n subprocess.check_call(\n [\n *pyinstrument_invocation,\n \"--renderer=pstats\",\n f\"--outfile={output_file}\",\n str(busy_wait_py),\n ],\n universal_newlines=True,\n )\n\n assert output_file.exists()\n\n # check it can be loaded\n import pstats\n\n stats = pstats.Stats(str(output_file))\n assert stats\n\n def test_program_exit_code(self, pyinstrument_invocation, tmp_path: Path):\n exit_1_py = tmp_path / \"exit_1.py\"\n exit_1_py.write_text(\"\"\"import sys; sys.exit(1)\"\"\")\n\n retcode = subprocess.call(\n [\n *pyinstrument_invocation,\n str(exit_1_py),\n ],\n )\n\n assert retcode == 1\n" }, { "path": "test/test_cmdline_main.py", "content": "from pathlib import Path\n\nimport pytest\n\nfrom pyinstrument.__main__ import main\nfrom pyinstrument.renderers.base import FrameRenderer\n\nfrom .util import BUSY_WAIT_SCRIPT\n\nfake_renderer_instance = None\n\n\nclass FakeRenderer(FrameRenderer):\n def __init__(self, time=None, **kwargs):\n self.time = time\n super().__init__(**kwargs)\n global fake_renderer_instance\n fake_renderer_instance = self\n print(\"instance\")\n\n def default_processors(self):\n \"\"\"\n Return a list of processors that this renderer uses by default.\n \"\"\"\n return []\n\n def render(self, session) -> str:\n return \"\"\n\n\ndef test_renderer_option(monkeypatch: pytest.MonkeyPatch, tmp_path: Path):\n (tmp_path / \"test_program.py\").write_text(BUSY_WAIT_SCRIPT)\n monkeypatch.setattr(\n \"sys.argv\",\n [\n \"pyinstrument\",\n \"-r\",\n \"test.test_cmdline_main.FakeRenderer\",\n \"-p\",\n \"time=percent_of_total\",\n \"test_program.py\",\n ],\n )\n monkeypatch.chdir(tmp_path)\n\n global fake_renderer_instance\n fake_renderer_instance = None\n\n main()\n\n assert fake_renderer_instance is not None\n assert fake_renderer_instance.time == \"percent_of_total\"\n\n\ndef test_json_renderer_option(monkeypatch: pytest.MonkeyPatch, tmp_path: Path):\n (tmp_path / \"test_program.py\").write_text(BUSY_WAIT_SCRIPT)\n monkeypatch.setattr(\n \"sys.argv\",\n [\n \"pyinstrument\",\n \"-r\",\n \"test.test_cmdline_main.FakeRenderer\",\n \"-p\",\n 'processor_options={\"some_option\": 44}',\n \"test_program.py\",\n ],\n )\n monkeypatch.chdir(tmp_path)\n\n global fake_renderer_instance\n fake_renderer_instance = None\n\n main()\n\n assert fake_renderer_instance is not None\n assert fake_renderer_instance.processor_options[\"some_option\"] == 44\n\n\ndef test_dotted_renderer_option(monkeypatch: pytest.MonkeyPatch, tmp_path: Path):\n (tmp_path / \"test_program.py\").write_text(BUSY_WAIT_SCRIPT)\n monkeypatch.setattr(\n \"sys.argv\",\n [\n \"pyinstrument\",\n \"-r\",\n \"test.test_cmdline_main.FakeRenderer\",\n \"-p\",\n \"processor_options.other_option=13\",\n \"test_program.py\",\n ],\n )\n monkeypatch.chdir(tmp_path)\n\n global fake_renderer_instance\n fake_renderer_instance = None\n\n main()\n\n assert fake_renderer_instance is not None\n assert fake_renderer_instance.processor_options[\"other_option\"] == 13\n" }, { "path": "test/test_context_manager.py", "content": "from test.fake_time_util import fake_time\n\nimport pytest\n\nimport pyinstrument\nfrom pyinstrument.context_manager import ProfileContext\n\n\ndef test_profile_context_decorator(capfd):\n with fake_time() as clock:\n\n @pyinstrument.profile\n def my_function():\n clock.sleep(1.0)\n\n my_function()\n\n out, err = capfd.readouterr()\n print(err)\n assert \"Function test_profile_context_decorator\" in err\n assert \"1.000 my_function\" in err\n\n\ndef test_profile_context_manager(capfd):\n with fake_time() as clock:\n with pyinstrument.profile():\n\n def my_function():\n clock.sleep(1.0)\n\n my_function()\n\n out, err = capfd.readouterr()\n print(err)\n assert \"Block at\" in err\n assert \"1.000 my_function\" in err\n" }, { "path": "test/test_ipython_magic.py", "content": "import signal\nimport textwrap\nfrom test.fake_time_util import fake_time\nfrom threading import Thread\nfrom time import sleep\n\nimport pytest\n\n# note: IPython should be imported within each test. Importing it in our tests\n# seems to cause problems with subsequent tests.\n\ncell_code = \"\"\"\nimport time\n\ndef function_a():\n function_b()\n function_c()\n\ndef function_b():\n function_d()\n\ndef function_c():\n function_d()\n\ndef function_d():\n function_e()\n\ndef function_e():\n time.sleep(0.1)\n\nfunction_a()\n\"\"\"\n\n# Tests #\n\n\n@pytest.mark.ipythonmagic\ndef test_magics(ip):\n from IPython.utils.capture import capture_output as capture_ipython_output\n\n with fake_time():\n with capture_ipython_output() as captured:\n ip.run_cell_magic(\"pyinstrument\", line=\"\", cell=cell_code)\n\n assert len(captured.outputs) == 1\n output = captured.outputs[0]\n assert \"text/html\" in output.data\n assert \"text/plain\" in output.data\n\n assert \"function_a\" in output.data[\"text/html\"]\n assert \"\\x00sympy/__init__.py\\x0012\",\n children=[\n Frame(\n identifier_or_frame_info=\"_handle_fromlist\\x00../\\x00997\",\n children=[\n self_time_frame(0.15),\n Frame(\n identifier_or_frame_info=\"_find_and_load\\x00../\\x00997\",\n children=[\n self_time_frame(0.05),\n Frame(\n identifier_or_frame_info=\"\\x00sympy/polys/polyfuncs.py\\x001\",\n children=[self_time_frame(0.05)],\n ),\n Frame(\n identifier_or_frame_info=\"\\x00sympy/polys/partfrac.py\\x001\",\n children=[self_time_frame(0.2)],\n ),\n ],\n ),\n Frame(\n identifier_or_frame_info=\"\\x00sympy/polys/numberfields.py\\x001\",\n children=[self_time_frame(0.05)],\n ),\n ],\n )\n ],\n )\n\n calculate_frame_tree_times(frame)\n frame.self_check()\n\n assert frame.total_self_time == 0.0\n assert frame.time == approx(0.5)\n\n frame = processors.remove_importlib(frame, options={})\n assert frame\n frame.self_check()\n\n assert frame.total_self_time == approx(0.2) # the root gets the self_time from the importlib\n assert frame.time == approx(0.5)\n assert len(frame.children) == 5\n assert frame.children[0].identifier == SELF_TIME_FRAME_IDENTIFIER\n assert frame.children[0].time == 0.15\n assert frame.children[1].identifier == SELF_TIME_FRAME_IDENTIFIER\n assert frame.children[1].time == 0.05\n\n assert frame.children[2].file_path == \"sympy/polys/polyfuncs.py\"\n assert frame.children[3].file_path == \"sympy/polys/partfrac.py\"\n assert frame.children[4].file_path == \"sympy/polys/numberfields.py\"\n\n\ndef test_remove_hidden():\n frame = Frame(\n identifier_or_frame_info=\"\\x00sympy/__init__.py\\x0012\\x01h0\",\n children=[\n Frame(\n identifier_or_frame_info=\"_handle_fromlist\\x00../foo.py\\x00997\\x01h1\",\n children=[\n self_time_frame(0.15),\n Frame(\n identifier_or_frame_info=\"_find_and_load\\x00../foo.py\\x00997\\x01h1\",\n children=[\n self_time_frame(0.05),\n Frame(\n identifier_or_frame_info=\"\\x00sympy/polys/polyfuncs.py\\x001\\x01h0\",\n children=[self_time_frame(0.05)],\n ),\n Frame(\n identifier_or_frame_info=\"\\x00sympy/polys/partfrac.py\\x001\\x01h0\",\n children=[self_time_frame(0.2)],\n ),\n ],\n ),\n Frame(\n identifier_or_frame_info=\"\\x00sympy/polys/numberfields.py\\x001\\x01h0\",\n children=[self_time_frame(0.05)],\n ),\n ],\n )\n ],\n )\n\n calculate_frame_tree_times(frame)\n frame.self_check()\n\n assert frame.total_self_time == 0.0\n assert frame.time == approx(0.5)\n\n frame = processors.remove_tracebackhide(frame, options={})\n assert frame\n frame.self_check()\n\n assert frame.total_self_time == approx(0.2) # the root gets the self_time from the importlib\n assert frame.time == approx(0.5)\n assert len(frame.children) == 5\n assert frame.children[0].identifier == SELF_TIME_FRAME_IDENTIFIER\n assert frame.children[0].time == 0.15\n assert frame.children[1].identifier == SELF_TIME_FRAME_IDENTIFIER\n assert frame.children[1].time == 0.05\n\n\ndef test_merge_consecutive_self_time():\n frame = Frame(\n identifier_or_frame_info=\"\\x00cibuildwheel/__init__.py\\x0012\",\n children=[\n Frame(\n identifier_or_frame_info=\"strip_newlines\\x00cibuildwheel/utils.py\\x00997\",\n children=[self_time_frame(0.1)],\n ),\n self_time_frame(0.2),\n self_time_frame(0.1),\n Frame(\n identifier_or_frame_info=\"calculate_metrics\\x00cibuildwheel/utils.py\\x007\",\n children=[self_time_frame(0.1)],\n ),\n self_time_frame(0.05),\n ],\n )\n\n calculate_frame_tree_times(frame)\n frame.self_check()\n\n assert frame.time == approx(0.55)\n\n frame = processors.merge_consecutive_self_time(frame, options={})\n assert frame\n frame.self_check()\n\n assert frame.time == approx(0.55)\n assert len(frame.children) == 4\n assert frame.children[0].total_self_time == approx(0.1)\n assert frame.children[1].identifier == SELF_TIME_FRAME_IDENTIFIER\n assert frame.children[1].time == approx(0.3)\n assert frame.children[2].time == approx(0.1)\n assert frame.children[3].time == approx(0.05)\n assert frame.children[3].identifier == SELF_TIME_FRAME_IDENTIFIER\n\n\ndef test_aggregate_repeated_calls():\n frame = Frame(\n identifier_or_frame_info=\"\\x00cibuildwheel/__init__.py\\x0012\",\n children=[\n Frame(\n identifier_or_frame_info=\"strip_newlines\\x00cibuildwheel/utils.py\\x00997\",\n children=[\n self_time_frame(0.1),\n Frame(\n identifier_or_frame_info=\"scan_string\\x00cibuildwheel/utils.py\\x0054\",\n children=[self_time_frame(0.2)],\n ),\n ],\n ),\n self_time_frame(0.1),\n Frame(\n identifier_or_frame_info=\"strip_newlines\\x00cibuildwheel/utils.py\\x00997\",\n children=[self_time_frame(0.05)],\n ),\n self_time_frame(0.2),\n Frame(\n identifier_or_frame_info=\"calculate_metrics\\x00cibuildwheel/utils.py\\x007\",\n children=[self_time_frame(0.1)],\n ),\n self_time_frame(0.05),\n ],\n )\n\n calculate_frame_tree_times(frame)\n frame.self_check()\n\n assert frame.time == approx(0.8)\n\n frame = processors.aggregate_repeated_calls(frame, options={})\n\n assert frame\n frame.self_check()\n assert frame.time == approx(0.8)\n # children should be sorted by time\n assert len(frame.children) == 3\n assert frame.children[0].function == \"strip_newlines\"\n assert frame.children[0].time == approx(0.35)\n assert frame.children[0].children[0].function == \"scan_string\"\n assert frame.children[1].identifier == SELF_TIME_FRAME_IDENTIFIER\n assert frame.children[1].time == approx(0.35)\n assert frame.children[2].function == \"calculate_metrics\"\n\n\ndef test_remove_irrelevant_nodes():\n frame = Frame(\n identifier_or_frame_info=\"\\x00cibuildwheel/__init__.py\\x0012\",\n children=[\n Frame(\n identifier_or_frame_info=\"strip_newlines\\x00cibuildwheel/utils.py\\x00997\",\n children=[\n Frame(\n identifier_or_frame_info=\"scan_string\\x00cibuildwheel/utils.py\\x0054\",\n children=[self_time_frame(10)],\n ),\n ],\n ),\n self_time_frame(0.5),\n Frame(\n identifier_or_frame_info=\"strip_newlines\\x00cibuildwheel/utils.py\\x00997\",\n children=[self_time_frame(0.5)],\n ),\n Frame(\n identifier_or_frame_info=\"calculate_metrics\\x00cibuildwheel/utils.py\\x007\",\n children=[self_time_frame(0.01)],\n ),\n ],\n )\n\n calculate_frame_tree_times(frame)\n frame.self_check()\n\n assert frame.time == approx(11.01)\n\n frame = processors.remove_irrelevant_nodes(frame, options={})\n\n assert frame\n frame.self_check()\n assert frame.time == approx(11.01)\n # check the calculate metrics function was deleted\n assert len(frame.children) == 3\n assert \"calculate_metrics\" not in [f.function for f in frame.children]\n\n\ndef test_remove_unnecessary_self_time_nodes():\n frame = Frame(\n identifier_or_frame_info=\"\\x00cibuildwheel/__init__.py\\x0012\",\n children=[\n Frame(\n identifier_or_frame_info=\"strip_newlines\\x00cibuildwheel/utils.py\\x00997\",\n children=[\n self_time_frame(0.2),\n ],\n ),\n self_time_frame(0.5),\n Frame(\n identifier_or_frame_info=\"strip_newlines\\x00cibuildwheel/utils.py\\x00997\",\n children=[self_time_frame(0.5)],\n ),\n Frame(\n identifier_or_frame_info=\"calculate_metrics\\x00cibuildwheel/utils.py\\x007\",\n children=[self_time_frame(0.1)],\n ),\n ],\n )\n calculate_frame_tree_times(frame)\n frame.self_check()\n\n assert frame.time == approx(1.3)\n\n frame = processors.remove_unnecessary_self_time_nodes(frame, options={})\n\n assert frame\n frame.self_check()\n assert frame.time == approx(1.3)\n assert len(frame.children) == 4\n # check the self time node was deleted\n strip_newlines_frame = frame.children[0]\n assert strip_newlines_frame.function == \"strip_newlines\"\n assert len(strip_newlines_frame.children) == 0\n # check the time was absorbed into the parent\n assert strip_newlines_frame.absorbed_time == 0.2\n assert strip_newlines_frame.time == 0.2\n\n\ndef test_group_library_frames_processor(monkeypatch):\n session = dummy_session()\n session.sys_path = [\"env/lib/python3.6\"]\n session.sys_prefixes = [\"env\"]\n frame = Frame(\n identifier_or_frame_info=\"\\x00cibuildwheel/__init__.py\\x0012\",\n children=[\n Frame(\n identifier_or_frame_info=\"library_function\\x00env/lib/python3.6/django/__init__.py\\x00997\",\n children=[\n Frame(\n identifier_or_frame_info=\"library_inner\\x00env/lib/python3.6/django/http.py\\x0054\",\n children=[\n Frame(\n identifier_or_frame_info=\"library_callback\\x00env/lib/python3.6/django/views.py\\x0054\",\n children=[\n Frame(\n identifier_or_frame_info=\"\\x00cibuildwheel/views.py\\x0012\",\n children=[self_time_frame(0.3)],\n ),\n ],\n ),\n ],\n ),\n ],\n ),\n self_time_frame(0.5),\n Frame(\n identifier_or_frame_info=\"strip_newlines\\x00cibuildwheel/utils.py\\x00997\",\n children=[self_time_frame(0.5)],\n ),\n Frame(\n identifier_or_frame_info=\"calculate_metrics\\x00cibuildwheel/utils.py\\x007\",\n children=[self_time_frame(0.1)],\n ),\n ],\n context=session,\n )\n\n calculate_frame_tree_times(frame)\n frame.self_check()\n\n assert frame.time == approx(1.4)\n\n frame = processors.group_library_frames_processor(frame, options={})\n\n assert frame\n frame.self_check()\n assert frame.time == approx(1.4)\n group_root = frame.children[0]\n\n group = group_root.group\n assert group\n assert group.root == group_root\n\n for frame in group.frames:\n assert frame.group == group\n\n assert group_root in group.frames\n assert group_root.children[0] in group.frames\n assert group_root.children[0].children[0] in group.frames\n assert group_root.children[0].children[0] in group.exit_frames\n assert group_root.children[0].children[0].children[0] not in group.frames\n" }, { "path": "test/test_profiler.py", "content": "import asyncio\nimport dataclasses\nimport inspect\nimport json\nimport time\nfrom functools import partial\nfrom test.fake_time_util import fake_time\nfrom typing import Generator, Optional\n\nimport pytest\n\nfrom pyinstrument import Profiler, renderers\nfrom pyinstrument.frame import Frame\nfrom pyinstrument.renderers.speedscope import SpeedscopeEvent, SpeedscopeEventType, SpeedscopeFrame\nfrom pyinstrument.session import Session\n\nfrom .util import assert_never, busy_wait, flaky_in_ci\n\n# Utilities #\n\n\ndef long_function_a():\n time.sleep(0.25)\n\n\ndef long_function_b():\n time.sleep(0.5)\n\n\nclass ClassWithMethods:\n def long_method(self):\n time.sleep(0.25)\n\n @staticmethod\n def long_static_method():\n time.sleep(0.25)\n\n @classmethod\n def long_class_method(cls):\n time.sleep(0.25)\n\n\n# Tests #\n\n\ndef test_collapses_multiple_calls_by_default():\n profiler = Profiler()\n\n with fake_time():\n profiler.start()\n\n long_function_a()\n long_function_b()\n long_function_a()\n long_function_b()\n\n profiler.stop()\n\n text_output = profiler.output_text()\n print(text_output)\n\n # output should be something like:\n # 1.500 test_collapses_multiple_calls_by_default test/test_profiler.py:25\n # |- 0.500 long_function_a test/test_profiler.py:17\n # |- 0.500 long_function_b test/test_profiler.py:20\n\n assert text_output.count(\"1.500 test_collapses_multiple_calls_by_default\") == 1\n assert text_output.count(\"0.500 long_function_a\") == 1\n assert text_output.count(\"1.000 long_function_b\") == 1\n\n\ndef test_profiler_retains_multiple_calls():\n profiler = Profiler()\n\n with fake_time():\n profiler.start()\n\n long_function_a()\n long_function_b()\n long_function_a()\n long_function_b()\n\n profiler.stop()\n\n print(profiler.output_text())\n\n assert profiler.last_session\n frame = profiler.last_session.root_frame()\n assert frame\n assert frame.function == \"test_profiler_retains_multiple_calls\"\n assert len(frame.children) == 4\n\n\ndef test_two_functions():\n profiler = Profiler()\n\n with fake_time():\n profiler.start()\n\n long_function_a()\n long_function_b()\n\n profiler.stop()\n\n print(profiler.output_text())\n\n assert profiler.last_session\n\n frame = profiler.last_session.root_frame()\n\n assert frame\n assert frame.function == \"test_two_functions\"\n assert len(frame.children) == 2\n\n frame_b, frame_a = sorted(frame.children, key=lambda f: f.time, reverse=True)\n\n assert frame_a.function == \"long_function_a\"\n assert frame_b.function == \"long_function_b\"\n\n # busy CI runners can be slow to wake up from the sleep. So we relax the\n # ranges a bit\n assert frame_a.time == pytest.approx(0.25, abs=0.1)\n assert frame_b.time == pytest.approx(0.5, abs=0.2)\n\n\ndef test_class_methods():\n profiler = Profiler()\n\n with fake_time():\n profiler.start()\n\n obj = ClassWithMethods()\n obj.long_method()\n obj.long_class_method()\n obj.long_static_method()\n partial(obj.long_method)()\n\n profiler.stop()\n\n text_output = profiler.output_text()\n print(text_output)\n\n # output should be something like:\n # 1.000 test_class_methods test/test_profiler.py:124\n # |- 0.500 ClassWithMethods.long_method test/test_profiler.py:29\n # | `- 0.500 FakeClock.sleep test/fake_time_util.py:19\n # |- 0.250 ClassWithMethods.long_class_method test/test_profiler.py:36\n # | `- 0.250 FakeClock.sleep test/fake_time_util.py:19\n # `- 0.250 long_static_method test/test_profiler.py:32\n # `- 0.250 FakeClock.sleep test/fake_time_util.py:19\n assert text_output.count(\"0.500 ClassWithMethods.long_method\") == 1\n assert text_output.count(\"0.250 ClassWithMethods.long_class_method\") == 1\n assert text_output.count(\"0.250 long_static_method\") == 1\n\n\ndef test_context_manager():\n with fake_time():\n with Profiler() as profiler:\n long_function_a()\n long_function_b()\n\n assert profiler.last_session\n frame = profiler.last_session.root_frame()\n assert frame\n assert frame.function == \"test_context_manager\"\n assert len(frame.children) == 2\n\n\ndef test_json_output():\n with fake_time():\n with Profiler() as profiler:\n long_function_a()\n long_function_b()\n\n output_data = profiler.output(renderers.JSONRenderer())\n\n output = json.loads(output_data)\n assert \"root_frame\" in output\n\n root_frame = output[\"root_frame\"]\n\n assert root_frame[\"function\"] == \"test_json_output\"\n assert len(root_frame[\"children\"]) == 2\n\n\ndef test_speedscope_output():\n with fake_time():\n with Profiler() as profiler:\n long_function_a()\n long_function_b()\n\n output_data = profiler.output(renderers.SpeedscopeRenderer())\n\n output = json.loads(output_data)\n\n file_level_schema_fields = {\n \"$schema\",\n \"name\",\n \"exporter\",\n \"activeProfileIndex\",\n \"profiles\",\n \"shared\",\n }\n for file_field in file_level_schema_fields:\n assert file_field in output\n\n assert output[\"$schema\"] == \"https://www.speedscope.app/file-format-schema.json\"\n assert \"pyinstrument\" in output[\"exporter\"]\n assert output[\"activeProfileIndex\"] is None\n assert \"CPU profile\" in output[\"name\"]\n\n assert \"frames\" in output[\"shared\"]\n speedscope_frame_list = output[\"shared\"][\"frames\"]\n\n # Distinct functions called stores indices in key-value pairs because function\n # index lookup needed for Speedscope event list tests. Were we not testing\n # the event list, the distinct functions called could be stored as a tuple.\n distinct_functions_called = {\n \"test_speedscope_output\": 0,\n \"long_function_a\": 1,\n \"sleep\": 2,\n \"long_function_b\": 3,\n }\n assert len(speedscope_frame_list) == len(distinct_functions_called)\n speedscope_frame_fields = tuple(field.name for field in dataclasses.fields(SpeedscopeFrame))\n for function_name, frame_index in distinct_functions_called.items():\n for frame_field in speedscope_frame_fields:\n assert frame_field in speedscope_frame_list[frame_index]\n assert speedscope_frame_list[frame_index][\"name\"] == function_name\n\n speedscope_profile_list = output[\"profiles\"]\n assert len(speedscope_profile_list) == 1\n speedscope_profile = speedscope_profile_list[0]\n speedscope_profile_fields = (\"type\", \"name\", \"unit\", \"startValue\", \"endValue\", \"events\")\n for profile_field in speedscope_profile_fields:\n assert profile_field in speedscope_profile\n\n # speedscope_profile[\"endValue\"] is not tested because a fake_time mock\n # timer is used to replace time.time, and this mock causes session.duration\n # to differ from self._event_time just before exiting SpeedscopeRenderer.render\n assert speedscope_profile[\"type\"] == \"evented\"\n assert speedscope_profile[\"unit\"] == \"seconds\"\n assert speedscope_profile[\"startValue\"] == 0.0\n\n output_event_tuple = (\n SpeedscopeEvent(\n SpeedscopeEventType.OPEN,\n 0.0,\n distinct_functions_called[\"test_speedscope_output\"],\n ),\n SpeedscopeEvent(\n SpeedscopeEventType.OPEN,\n 0.0,\n distinct_functions_called[\"long_function_a\"],\n ),\n SpeedscopeEvent(\n SpeedscopeEventType.OPEN,\n 0.0,\n distinct_functions_called[\"sleep\"],\n ),\n SpeedscopeEvent(\n SpeedscopeEventType.CLOSE,\n 0.25,\n distinct_functions_called[\"sleep\"],\n ),\n SpeedscopeEvent(\n SpeedscopeEventType.CLOSE,\n 0.25,\n distinct_functions_called[\"long_function_a\"],\n ),\n SpeedscopeEvent(\n SpeedscopeEventType.OPEN,\n 0.25,\n distinct_functions_called[\"long_function_b\"],\n ),\n SpeedscopeEvent(\n SpeedscopeEventType.OPEN,\n 0.25,\n distinct_functions_called[\"sleep\"],\n ),\n SpeedscopeEvent(\n SpeedscopeEventType.CLOSE,\n 0.75,\n distinct_functions_called[\"sleep\"],\n ),\n SpeedscopeEvent(\n SpeedscopeEventType.CLOSE,\n 0.75,\n distinct_functions_called[\"long_function_b\"],\n ),\n SpeedscopeEvent(\n SpeedscopeEventType.CLOSE,\n 0.75,\n distinct_functions_called[\"test_speedscope_output\"],\n ),\n )\n\n speedscope_event_list = speedscope_profile[\"events\"]\n assert len(speedscope_event_list) == len(output_event_tuple)\n speedscope_event_fields = tuple(field.name for field in dataclasses.fields(SpeedscopeEvent))\n for event_index, speedscope_event in enumerate(speedscope_event_list):\n for event_field in speedscope_event_fields:\n assert event_field in speedscope_event\n\n assert speedscope_event[\"type\"] == output_event_tuple[event_index].type.value\n assert speedscope_event[\"frame\"] == output_event_tuple[event_index].frame\n assert speedscope_event[\"at\"] == pytest.approx(output_event_tuple[event_index].at)\n\n\ndef test_empty_profile():\n with Profiler() as profiler:\n pass\n profiler.output(renderer=renderers.ConsoleRenderer())\n\n\n@flaky_in_ci\ndef test_state_management():\n profiler = Profiler()\n\n assert profiler.last_session is None\n assert profiler.is_running == False\n\n profiler.start()\n\n assert profiler.last_session is None\n assert profiler.is_running == True\n\n busy_wait(0.1)\n\n profiler.stop()\n\n assert profiler.is_running == False\n assert profiler.last_session is not None\n assert profiler.last_session.duration == pytest.approx(0.1, rel=0.2)\n\n # test a second session, does it merge with the first?\n profiler.start()\n\n assert profiler.is_running == True\n busy_wait(0.1)\n\n profiler.stop()\n\n assert profiler.is_running == False\n\n assert profiler.last_session is not None\n assert profiler.last_session.duration == pytest.approx(0.2, rel=0.2)\n\n # test a reset\n profiler.reset()\n assert profiler.last_session is None\n\n # test a reset while running\n profiler.start()\n assert profiler.is_running == True\n profiler.reset()\n assert profiler.is_running == False\n assert profiler.last_session is None\n\n\n@pytest.mark.parametrize(\n \"profiler_method_name,renderer_class\",\n [\n (\"print\", renderers.ConsoleRenderer),\n (\"output_text\", renderers.ConsoleRenderer),\n (\"output_html\", renderers.HTMLRenderer),\n ],\n)\ndef test_profiler_convenience_methods_have_all_options_available(\n profiler_method_name, renderer_class\n):\n method = getattr(Profiler, profiler_method_name)\n\n method_signature = inspect.signature(method)\n renderer_signature = inspect.signature(renderer_class)\n\n for name, parameter in renderer_signature.parameters.items():\n if name == \"self\":\n continue\n\n if profiler_method_name == \"output_html\" and name in {\"timeline\", \"show_all\"}:\n # these options have been deprecated\n continue\n\n assert (\n name in method_signature.parameters\n ), f\"Parameter {name} is missing from Profiler.{profiler_method_name}. {parameter}\"\n method_parameter = method_signature.parameters[name]\n\n if profiler_method_name == \"print\" and name in {\"color\", \"unicode\"}:\n # print has a mechanism of autodetecting these\n continue\n assert (\n method_parameter.default == parameter.default\n ), f\"Parameter {name} has a different default value in Profiler.{profiler_method_name}. {parameter}\"\n assert (\n method_parameter.annotation == parameter.annotation\n ), f\"Parameter {name} has a different annotation in Profiler.{profiler_method_name}. {parameter}\"\n\n\ndef test_profiler_raises_on_double_subscribe():\n profiler = Profiler(async_mode=\"disabled\")\n profiler.start()\n with pytest.raises(ValueError) as e:\n profiler.start()\n assert \"Profiler is already running\" in str(e.value)\n profiler.stop()\n" }, { "path": "test/test_profiler_async.py", "content": "import asyncio\nimport sys\nimport time\nfrom functools import partial\nfrom test.fake_time_util import fake_time, fake_time_asyncio, fake_time_trio\nfrom typing import Optional\n\nimport pytest\n\nfrom pyinstrument import processors, stack_sampler\nfrom pyinstrument.frame import AWAIT_FRAME_IDENTIFIER, OUT_OF_CONTEXT_FRAME_IDENTIFIER, Frame\nfrom pyinstrument.profiler import Profiler\nfrom pyinstrument.session import Session\n\nfrom .util import assert_never, flaky_in_ci, walk_frames\n\n# Utilities #\n\n\n@pytest.fixture(autouse=True)\ndef tidy_up_stack_sampler():\n assert sys.getprofile() is None\n assert len(stack_sampler.get_stack_sampler().subscribers) == 0\n\n yield\n\n assert sys.getprofile() is None\n assert len(stack_sampler.get_stack_sampler().subscribers) == 0\n stack_sampler.thread_locals.__dict__.clear()\n\n\n# Tests #\n\n\n@pytest.mark.asyncio\nasync def test_sleep():\n profiler = Profiler()\n\n with fake_time_asyncio():\n profiler.start()\n\n await asyncio.sleep(0.2)\n\n session = profiler.stop()\n\n assert len(session.frame_records) > 0\n\n root_frame = session.root_frame()\n assert root_frame\n\n assert root_frame.time == pytest.approx(0.2, rel=0.1)\n assert root_frame.await_time() == pytest.approx(0.2, rel=0.1)\n\n sleep_frame = next(f for f in walk_frames(root_frame) if f.function == \"sleep\")\n assert sleep_frame.time == pytest.approx(0.2, rel=0.1)\n assert sleep_frame.time == pytest.approx(0.2, rel=0.1)\n\n\ndef test_sleep_trio():\n import trio\n\n async def run():\n profiler = Profiler()\n profiler.start()\n\n await trio.sleep(0.2)\n\n session = profiler.stop()\n assert len(session.frame_records) > 0\n\n root_frame = session.root_frame()\n assert root_frame\n\n assert root_frame.time == pytest.approx(0.2)\n assert root_frame.await_time() == pytest.approx(0.2)\n\n sleep_frame = next(f for f in walk_frames(root_frame) if f.function == \"sleep\")\n assert sleep_frame.time == pytest.approx(0.2)\n assert sleep_frame.time == pytest.approx(0.2)\n\n with fake_time_trio() as fake_clock:\n trio.run(run, clock=fake_clock.trio_clock)\n\n\n@flaky_in_ci\n@pytest.mark.parametrize(\"engine\", [\"asyncio\", \"trio\"])\ndef test_profiler_task_isolation(engine):\n profiler_session: Optional[Session] = None\n\n async def async_wait(sync_time, async_time, profile=False, engine=\"asyncio\"):\n # an async function that has both sync work and async work\n profiler = None\n\n if profile:\n profiler = Profiler()\n profiler.start()\n\n time.sleep(sync_time / 2)\n\n if engine == \"asyncio\":\n await asyncio.sleep(async_time)\n else:\n import trio\n\n await trio.sleep(async_time)\n\n time.sleep(sync_time / 2)\n\n if profiler:\n profiler.stop()\n profiler.print(show_all=True)\n return profiler.last_session\n\n if engine == \"asyncio\":\n loop = asyncio.new_event_loop()\n\n with fake_time_asyncio(loop):\n profile_task = loop.create_task(async_wait(sync_time=0.1, async_time=0.5, profile=True))\n loop.create_task(async_wait(sync_time=0.1, async_time=0.3))\n loop.create_task(async_wait(sync_time=0.1, async_time=0.3))\n\n loop.run_until_complete(profile_task)\n loop.close()\n\n profiler_session = profile_task.result()\n elif engine == \"trio\":\n import trio\n\n async def async_wait_and_capture(**kwargs):\n nonlocal profiler_session\n profiler_session = await async_wait(**kwargs)\n\n async def multi_task():\n async with trio.open_nursery() as nursery:\n nursery.start_soon(\n partial(\n async_wait_and_capture,\n sync_time=0.1,\n async_time=0.5,\n engine=\"trio\",\n profile=True,\n )\n )\n nursery.start_soon(\n partial(async_wait, sync_time=0.1, async_time=0.3, engine=\"trio\")\n ) # pyright: ignore\n nursery.start_soon(\n partial(async_wait, sync_time=0.1, async_time=0.3, engine=\"trio\")\n ) # pyright: ignore\n\n with fake_time_trio() as fake_clock:\n trio.run(multi_task, clock=fake_clock.trio_clock)\n else:\n assert_never(engine)\n\n assert profiler_session\n\n root_frame = profiler_session.root_frame()\n assert root_frame is not None\n fake_work_frame = next(f for f in walk_frames(root_frame) if f.function == \"async_wait\")\n assert fake_work_frame.time == pytest.approx(0.1 + 0.5, rel=0.1)\n\n root_frame = processors.aggregate_repeated_calls(root_frame, {})\n assert root_frame\n\n await_frames = [f for f in walk_frames(root_frame) if f.identifier == AWAIT_FRAME_IDENTIFIER]\n\n assert sum(f.await_time() for f in await_frames) == pytest.approx(0.5, rel=0.1)\n assert sum(f.time for f in await_frames) == pytest.approx(0.5, rel=0.1)\n\n\nPYTHON_IS_PRERELEASE = sys.version_info.releaselevel != \"final\"\n\n\n@pytest.mark.skipif(\n PYTHON_IS_PRERELEASE, reason=\"greenlet is often slow to gain support for new interpreters\"\n)\ndef test_greenlet():\n import greenlet\n\n profiler = Profiler()\n\n with fake_time():\n profiler.start()\n\n def y(duration):\n time.sleep(duration)\n\n y(0.1)\n greenlet.greenlet(y).switch(0.1)\n\n session = profiler.stop()\n\n profiler.print()\n\n root_frame = session.root_frame()\n assert root_frame\n\n assert root_frame.time == pytest.approx(0.2, rel=0.1)\n\n sleep_frames = [f for f in walk_frames(root_frame) if f.function == \"sleep\"]\n assert len(sleep_frames) == 2\n assert sleep_frames[0].time == pytest.approx(0.1, rel=0.1)\n assert sleep_frames[1].time == pytest.approx(0.1, rel=0.1)\n\n\n@pytest.mark.skipif(\n PYTHON_IS_PRERELEASE, reason=\"greenlet is often slow to gain support for new interpreters\"\n)\ndef test_strict_with_greenlet():\n import greenlet\n\n profiler = Profiler(async_mode=\"strict\")\n\n with fake_time():\n profiler.start()\n\n def y(duration):\n time.sleep(duration)\n\n y(0.1)\n greenlet.greenlet(y).switch(0.1)\n\n session = profiler.stop()\n\n profiler.print()\n\n root_frame = session.root_frame()\n assert root_frame\n\n assert root_frame.time == pytest.approx(0.2, rel=0.1)\n\n sleep_frames = [f for f in walk_frames(root_frame) if f.function == \"sleep\"]\n assert len(sleep_frames) == 1\n assert sleep_frames[0].time == pytest.approx(0.1, rel=0.1)\n\n greenlet_frames = [\n f for f in walk_frames(root_frame) if f.identifier == OUT_OF_CONTEXT_FRAME_IDENTIFIER\n ]\n\n assert len(greenlet_frames) == 1\n assert greenlet_frames[0].time == pytest.approx(0.1, rel=0.1)\n" }, { "path": "test/test_pstats_renderer.py", "content": "import os\nimport time\nfrom pathlib import Path\nfrom pstats import Stats\nfrom test.fake_time_util import FakeClock, fake_time\nfrom typing import Any\n\nimport pytest\n\nfrom pyinstrument import Profiler\nfrom pyinstrument.renderers import PstatsRenderer\n\n\ndef a():\n b()\n c()\n\n\ndef b():\n d()\n\n\ndef c():\n d()\n\n\ndef d():\n e()\n\n\ndef e():\n time.sleep(1)\n\n\n@pytest.fixture(scope=\"module\")\ndef profiler_session():\n with fake_time():\n profiler = Profiler()\n profiler.start()\n\n a()\n\n profiler.stop()\n return profiler.last_session\n\n\ndef test_pstats_renderer(profiler_session, tmp_path):\n fname = tmp_path / \"test.pstats\"\n pstats_data = PstatsRenderer().render(profiler_session)\n with open(fname, \"wb\") as fid:\n fid.write(pstats_data.encode(encoding=\"utf-8\", errors=\"surrogateescape\"))\n stats: Any = Stats(str(fname))\n # Sanity check\n assert stats.total_tt > 0\n # The graph is\n # a() -> b() -> d() -> e() -> time.sleep()\n # \\-> c() /\n # so make sure d has callers of b, c, and that the times make sense\n\n # in stats,\n # keys are tuples (file_path, line, func)\n # values are tuples (calltime, numcalls, selftime, cumtime, callers)\n # in callers,\n # keys are the same as in stats\n # values are the same as stats but without callers\n\n # check the time of d\n d_key = [k for k in stats.stats.keys() if k[2] == \"d\"][0]\n d_val = stats.stats[d_key]\n d_cumtime = d_val[3]\n assert d_cumtime == pytest.approx(2)\n\n # check d's callers times are split\n b_key = [k for k in stats.stats.keys() if k[2] == \"b\"][0]\n c_key = [k for k in stats.stats.keys() if k[2] == \"c\"][0]\n d_callers = d_val[4]\n b_cumtime = d_callers[b_key][3]\n c_cumtime = d_callers[c_key][3]\n assert b_cumtime == pytest.approx(1)\n assert c_cumtime == pytest.approx(1)\n\n # check the time of e\n e_key = [k for k in stats.stats.keys() if k[2] == \"e\"][0]\n e_val = stats.stats[e_key]\n e_cumtime = e_val[3]\n assert e_cumtime == pytest.approx(2)\n\n\ndef test_round_trip_encoding_of_binary_data(tmp_path: Path):\n # as used by the pstats renderer\n data_blob = os.urandom(1024)\n file = tmp_path / \"file.dat\"\n\n data_blob_string = data_blob.decode(encoding=\"utf-8\", errors=\"surrogateescape\")\n\n # newline='' is required to prevent the default newline translation\n with open(file, mode=\"w\", encoding=\"utf-8\", errors=\"surrogateescape\", newline=\"\") as f:\n f.write(data_blob_string)\n\n assert data_blob == data_blob_string.encode(encoding=\"utf-8\", errors=\"surrogateescape\")\n assert data_blob == file.read_bytes()\n\n\ndef sleep_and_busy_wait(clock: FakeClock):\n time.sleep(1.0)\n # this looks like a busy wait to the profiler\n clock.time += 1.0\n\n\ndef test_sum_of_tottime(tmp_path):\n # Check that the sum of the tottime of all the functions is equal to the\n # total time of the profile\n\n with fake_time() as clock:\n profiler = Profiler()\n profiler.start()\n\n sleep_and_busy_wait(clock)\n\n profiler.stop()\n profiler_session = profiler.last_session\n\n assert profiler_session\n\n pstats_data = PstatsRenderer().render(profiler_session)\n fname = tmp_path / \"test.pstats\"\n with open(fname, \"wb\") as fid:\n fid.write(pstats_data.encode(encoding=\"utf-8\", errors=\"surrogateescape\"))\n stats: Any = Stats(str(fname))\n assert stats.total_tt == pytest.approx(2)\n" }, { "path": "test/test_renderers.py", "content": "# some tests for the renderer classes\n\nfrom __future__ import annotations\n\nimport sys\nimport time\nfrom unittest.mock import patch\n\nimport pytest\n\nfrom pyinstrument import renderers\nfrom pyinstrument.profiler import Profiler\nfrom pyinstrument.session import Session\n\nfrom .fake_time_util import fake_time\n\n# utils\n\nframe_renderer_classes: list[type[renderers.FrameRenderer]] = [\n renderers.ConsoleRenderer,\n renderers.JSONRenderer,\n renderers.PstatsRenderer,\n renderers.SpeedscopeRenderer,\n]\n\nparametrize_frame_renderer_class = pytest.mark.parametrize(\n \"frame_renderer_class\", frame_renderer_classes, ids=lambda c: c.__name__\n)\n\n# fixtures\n\n\ndef a():\n b()\n c()\n\n\ndef b():\n d()\n\n\ndef c():\n d()\n\n\ndef d():\n e()\n\n\ndef e():\n time.sleep(1)\n\n\n@pytest.fixture(scope=\"module\")\ndef profiler_session():\n with fake_time():\n profiler = Profiler()\n profiler.start()\n\n a()\n\n profiler.stop()\n return profiler.last_session\n\n\n# tests\n\n\n@parametrize_frame_renderer_class\ndef test_empty_profile(frame_renderer_class: type[renderers.FrameRenderer]):\n with Profiler() as profiler:\n pass\n profiler.output(renderer=frame_renderer_class())\n\n\n@parametrize_frame_renderer_class\ndef test_timeline_doesnt_crash(\n profiler_session, frame_renderer_class: type[renderers.FrameRenderer]\n):\n renderer = frame_renderer_class(timeline=True)\n renderer.render(profiler_session)\n\n\n@parametrize_frame_renderer_class\ndef test_show_all_doesnt_crash(\n profiler_session, frame_renderer_class: type[renderers.FrameRenderer]\n):\n renderer = frame_renderer_class(show_all=True)\n renderer.render(profiler_session)\n\n\n@pytest.mark.parametrize(\"flat_time\", [\"self\", \"total\"])\ndef test_console_renderer_flat_doesnt_crash(profiler_session, flat_time):\n renderer = renderers.ConsoleRenderer(flat=True, flat_time=flat_time)\n renderer.render(profiler_session)\n\n\ndef test_html_renderer_resampling(capsys):\n # create a session with more than 100,000 samples\n frame_records = []\n # first 100,000 frames have almost no time in them\n frame_records += [(\"\\x00somemodule/__init__.py\\x0012\", 1e-9)] * 100_000\n # last frame has some time in it\n frame_records += [(\"a\\x00b\\x001\", 1)]\n\n session = Session(\n duration=1.0001,\n start_time=0,\n frame_records=frame_records,\n sample_count=len(frame_records),\n min_interval=1e-9,\n max_interval=1e-9,\n start_call_stack=[\"\\x00somemodule/__init__.py\\x0012\"],\n target_description=\"test\",\n cpu_time=1.0001,\n sys_path=sys.path,\n sys_prefixes=[],\n )\n\n renderer = renderers.HTMLRenderer()\n with patch(\"pyinstrument.session.Session._resample_frame_records\") as mock_resample:\n renderer.render(session)\n\n captured = capsys.readouterr()\n assert \"Resampled to\" in captured.err\n assert mock_resample.called\n" }, { "path": "test/test_stack_sampler.py", "content": "import contextvars\nimport sys\nimport time\n\nimport pytest\n\nfrom pyinstrument import stack_sampler\n\nfrom .util import do_nothing, flaky_in_ci, tidy_up_profiler_state_on_fail\n\n\nclass SampleCounter:\n count = 0\n\n def sample(self, stack, time, async_state):\n self.count += 1\n\n\ndef test_create():\n sampler = stack_sampler.get_stack_sampler()\n assert sampler is not None\n\n assert sampler is stack_sampler.get_stack_sampler()\n\n\n@flaky_in_ci\n@tidy_up_profiler_state_on_fail\ndef test_get_samples():\n sampler = stack_sampler.get_stack_sampler()\n counter = SampleCounter()\n\n assert sys.getprofile() is None\n sampler.subscribe(counter.sample, desired_interval=0.001, use_async_context=True)\n assert sys.getprofile() is not None\n assert len(sampler.subscribers) == 1\n\n start = time.time()\n while time.time() < start + 1 and counter.count == 0:\n do_nothing()\n\n assert counter.count > 0\n\n assert sys.getprofile() is not None\n sampler.unsubscribe(counter.sample)\n assert sys.getprofile() is None\n\n assert len(sampler.subscribers) == 0\n\n\n@flaky_in_ci\n@tidy_up_profiler_state_on_fail\ndef test_multiple_samplers():\n sampler = stack_sampler.get_stack_sampler()\n counter_1 = SampleCounter()\n counter_2 = SampleCounter()\n\n sampler.subscribe(counter_1.sample, desired_interval=0.001, use_async_context=False)\n sampler.subscribe(counter_2.sample, desired_interval=0.001, use_async_context=False)\n\n assert len(sampler.subscribers) == 2\n\n start = time.time()\n while time.time() < start + 1 and counter_1.count == 0 and counter_2.count == 0:\n do_nothing()\n\n assert counter_1.count > 0\n assert counter_2.count > 0\n\n assert sys.getprofile() is not None\n\n sampler.unsubscribe(counter_1.sample)\n sampler.unsubscribe(counter_2.sample)\n\n assert sys.getprofile() is None\n\n assert len(sampler.subscribers) == 0\n\n\ndef test_multiple_samplers_async_error():\n sampler = stack_sampler.get_stack_sampler()\n\n counter_1 = SampleCounter()\n counter_2 = SampleCounter()\n\n sampler.subscribe(counter_1.sample, desired_interval=0.001, use_async_context=True)\n\n with pytest.raises(RuntimeError):\n sampler.subscribe(counter_2.sample, desired_interval=0.001, use_async_context=True)\n\n sampler.unsubscribe(counter_1.sample)\n\n\n@flaky_in_ci\n@tidy_up_profiler_state_on_fail\ndef test_multiple_contexts():\n sampler = stack_sampler.get_stack_sampler()\n\n counter_1 = SampleCounter()\n counter_2 = SampleCounter()\n\n context_1 = contextvars.copy_context()\n context_2 = contextvars.copy_context()\n\n assert sys.getprofile() is None\n assert len(sampler.subscribers) == 0\n context_1.run(\n sampler.subscribe, target=counter_1.sample, desired_interval=0.001, use_async_context=True\n )\n context_2.run(\n sampler.subscribe, target=counter_2.sample, desired_interval=0.001, use_async_context=True\n )\n\n assert sys.getprofile() is not None\n assert len(sampler.subscribers) == 2\n\n start = time.time()\n while time.time() < start + 1 and counter_1.count == 0 and counter_2.count == 0:\n do_nothing()\n\n assert counter_1.count > 0\n assert counter_2.count > 0\n\n assert sys.getprofile() is not None\n\n context_1.run(sampler.unsubscribe, counter_1.sample)\n context_2.run(sampler.unsubscribe, counter_2.sample)\n\n assert sys.getprofile() is None\n\n assert len(sampler.subscribers) == 0\n\n\ndef test_same_callback_twice_error():\n sampler = stack_sampler.get_stack_sampler()\n\n counter = SampleCounter()\n\n sampler.subscribe(counter.sample, desired_interval=0.001, use_async_context=False)\n\n with pytest.raises(ValueError):\n sampler.subscribe(counter.sample, desired_interval=0.001, use_async_context=False)\n\n sampler.unsubscribe(counter.sample)\n" }, { "path": "test/test_threading.py", "content": "import threading\nimport time\nfrom test.fake_time_util import fake_time\n\nimport pytest\n\nfrom pyinstrument import Profiler\n\nfrom .util import do_nothing\n\n\ndef test_profiler_access_from_multiple_threads():\n profiler = Profiler()\n\n profiler.start()\n\n thread_exception = None\n\n def helper():\n while profiler._active_session and len(profiler._active_session.frame_records) < 10:\n time.sleep(0.0001)\n\n try:\n profiler.stop()\n except Exception as e:\n nonlocal thread_exception\n thread_exception = e\n\n t1 = threading.Thread(target=helper)\n t1.start()\n\n while t1.is_alive():\n do_nothing()\n t1.join()\n\n with pytest.raises(Exception) as excinfo:\n profiler.output_html()\n\n assert \"this profiler is still running\" in excinfo.value.args[0]\n\n assert thread_exception is not None\n assert (\n \"Failed to stop profiling. Make sure that you start/stop profiling on the same thread.\"\n in thread_exception.args[0]\n )\n\n # the above stop failed. actually stop the profiler\n profiler.stop()\n" }, { "path": "test/util.py", "content": "import asyncio\nimport os\nimport sys\nimport time\nfrom typing import Callable, Generator, Generic, Iterable, Iterator, NoReturn, Optional, TypeVar\n\nfrom flaky import flaky\n\nfrom pyinstrument import stack_sampler\nfrom pyinstrument.frame import SYNTHETIC_LEAF_IDENTIFIERS, Frame\nfrom pyinstrument.profiler import Profiler\nfrom pyinstrument.session import Session\n\nif \"CI\" in os.environ:\n # a decorator that allows some test flakiness in CI environments, presumably\n # due to contention. Useful for tests that rely on real time measurements.\n flaky_in_ci = flaky(max_runs=5, min_passes=1)\nelse:\n flaky_in_ci = lambda a: a\n\n\ndef assert_never(x: NoReturn) -> NoReturn:\n raise AssertionError(f\"Invalid value: {x!r}\")\n\n\ndef do_nothing():\n pass\n\n\ndef busy_wait(duration):\n end_time = time.time() + duration\n\n while time.time() < end_time:\n do_nothing()\n\n\ndef walk_frames(frame: Frame) -> Generator[Frame, None, None]:\n yield frame\n\n for f in frame.children:\n yield from walk_frames(f)\n\n\nT = TypeVar(\"T\")\n\n\ndef first(iterator: Iterator[T]) -> Optional[T]:\n try:\n return next(iterator)\n except StopIteration:\n return None\n\n\ndef calculate_frame_tree_times(frame: Frame):\n # assuming that the leaf nodes of a frame tree have correct, time values,\n # calculate the times of all nodes in the frame tree\n\n child_time_sum = 0.0\n\n for child in frame.children:\n if child.identifier not in SYNTHETIC_LEAF_IDENTIFIERS:\n calculate_frame_tree_times(child)\n\n child_time_sum += child.time\n\n frame.time = child_time_sum + frame.absorbed_time\n\n\nBUSY_WAIT_SCRIPT = \"\"\"\nimport time, sys\n\ndef do_nothing():\n pass\n\ndef busy_wait(duration):\n end_time = time.time() + duration\n\n while time.time() < end_time:\n do_nothing()\n\ndef main():\n print('sys.argv: ', sys.argv)\n busy_wait(0.1)\n\n\nif __name__ == '__main__':\n main()\n\"\"\"\n\n\ndef dummy_session() -> Session:\n return Session(\n frame_records=[],\n start_time=0,\n min_interval=0.1,\n max_interval=0.1,\n duration=0,\n sample_count=0,\n start_call_stack=[],\n target_description=\"dummy\",\n cpu_time=0,\n sys_path=sys.path,\n sys_prefixes=Session.current_sys_prefixes(),\n )\n\n\ndef tidy_up_profiler_state_on_fail(func: Callable) -> Callable[[], None]:\n \"\"\"\n Useful inside a test that's flaky in CI, where the check_sampler_state\n fixture only gets to run at the end of all flaky attempts.\n \"\"\"\n # consider adding to the flasky_in_ci decorator if it's useful elsewhere\n\n def wrapped():\n try:\n func()\n except BaseException:\n sys.setprofile(None)\n stack_sampler.thread_locals.__dict__.clear()\n raise\n\n return wrapped\n" } ]