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Repository: acids-ircam/nn_tilde
Branch: master
Commit: ca97f8259442
Files: 107
Total size: 2.9 MB
Directory structure:
gitextract_nq2axijl/
├── .github/
│ └── workflows/
│ ├── build.yaml
│ └── python-publish.yaml
├── .gitignore
├── .gitmodules
├── LICENSE
├── MANIFEST.in
├── README.md
├── docs/
│ └── index.md
├── extras/
│ ├── 01_nn_attributes.maxpat
│ └── generate_test_model.py
├── install/
│ ├── MaxAPI.lib
│ ├── dylib_fix.py
│ ├── macos_max_makeub.sh
│ ├── macos_pd_makeub.sh
│ ├── max-linker-flags.txt
│ ├── mkl.cmake
│ └── patch_with_vst.sh
├── package-info.json.in
├── python_tools/
│ ├── __init__.py
│ ├── buffer.py
│ ├── codegen.py
│ ├── module.py
│ ├── templates/
│ │ ├── __init__.py
│ │ ├── attributes.py
│ │ └── buffers.py
│ └── test/
│ ├── test_attributes.maxpat
│ ├── test_attributes.py
│ ├── test_buffers.py
│ ├── test_list_attributes.maxpat
│ └── utils.py
├── requirements.txt
├── requirements_darwin_x64.txt
├── scripting/
│ ├── README.md
│ ├── effects.py
│ ├── effects.ts
│ ├── features.py
│ ├── features.ts
│ ├── scripting.maxpat
│ └── unmix.py
├── setup.py
└── src/
├── .nojekyll
├── CMakeLists.txt
├── backend/
│ ├── CMakeLists.txt
│ ├── backend.cpp
│ ├── backend.h
│ ├── parsing_utils.cpp
│ └── parsing_utils.h
├── cmake/
│ └── add_torch.cmake
├── extras/
│ ├── nn~ Overview.maxpat
│ └── patch_with_vst.sh
├── frontend/
│ ├── maxmsp/
│ │ ├── mc.nn_tilde/
│ │ │ ├── CMakeLists.txt
│ │ │ └── mc.nn_tilde.cpp
│ │ ├── mcs.nn_tilde/
│ │ │ ├── CMakeLists.txt
│ │ │ └── mcs.nn_tilde.cpp
│ │ ├── nn.info/
│ │ │ ├── CMakeLists.txt
│ │ │ └── nn.info.cpp
│ │ ├── nn_tilde/
│ │ │ ├── CMakeLists.txt
│ │ │ ├── nn_tilde.cpp
│ │ │ ├── nn_tilde_test.cpp
│ │ │ └── nn~.maxhelp
│ │ └── shared/
│ │ ├── array_tools.h
│ │ ├── buffer_tools.h
│ │ ├── dict_utils.h
│ │ ├── max_model_download.h
│ │ └── nn_base.h
│ └── puredata/
│ ├── nn_tilde/
│ │ ├── CMakeLists.txt
│ │ ├── nn_tilde.cpp
│ │ └── nn~-help.pd
│ └── shared/
│ ├── pd_buffer_manager.h
│ └── pd_model_download.h
├── help/
│ ├── mc.nn~.maxhelp
│ ├── mcs.nn~.maxhelp
│ ├── nn.info.maxhelp
│ └── nn~.maxhelp
├── models/
│ ├── demo_attributes.ts
│ ├── demo_buffers.ts
│ ├── demo_mc.ts
│ ├── effects.ts
│ ├── features.ts
│ └── wavetable.ts
├── patchers/
│ ├── after_help.maxpat
│ ├── help_hub.maxpat
│ ├── latent_remote/
│ │ ├── M4L.latent_remote.js
│ │ ├── M4L.latent_remote.maxhelp
│ │ ├── M4L.latent_remote.maxpat
│ │ ├── M4L.latent_slider.maxhelp
│ │ ├── M4L.latent_slider.maxpat
│ │ ├── M4L.latent_slider_component.maxpat
│ │ ├── frand.maxpat
│ │ ├── ierf.gendsp
│ │ ├── latent_remote.js
│ │ ├── latent_remote.maxhelp
│ │ ├── latent_remote.maxpat
│ │ ├── latent_slider.maxhelp
│ │ ├── latent_slider.maxpat
│ │ └── latent_slider_component.maxpat
│ ├── rave_help.maxpat
│ ├── ts_help.maxpat
│ └── vschaos_help.maxpat
├── shared/
│ ├── circular_buffer.h
│ ├── model_download.h
│ └── static_buffer.h
└── source/
├── attributes.py
├── buffers.py
├── effects.py
├── features.py
└── unmix.py
================================================
FILE CONTENTS
================================================
================================================
FILE: .github/workflows/build.yaml
================================================
name: Build nn_tilde
on:
push:
tags:
- "v*"
jobs:
osx-arm64-build:
runs-on: macos-latest
steps:
- name: Check out code
uses: actions/checkout@v2
- run: |
git submodule update --init --recursive
git fetch --tags
curl -L ${{ secrets.WHEEL_PATH }} -o src/models/wheel.ts
du -sh src/models/*
- name: Setup LLVM
run: |
brew install llvm
- name: Setup miniconda
run: |
curl -L https://repo.anaconda.com/miniconda/Miniconda3-latest-MacOSX-arm64.sh > miniconda.sh
chmod +x ./miniconda.sh
bash ./miniconda.sh -b -u -p ./env
source ./env/bin/activate
conda install python=3.11
- name: Installing torch and requirements
run: |
source ./env/bin/activate
conda install -c conda-forge curl
pip install -r requirements.txt
- name: Setup puredata
run: |
mkdir puredata_include
curl -L https://raw.githubusercontent.com/pure-data/pure-data/master/src/m_pd.h -o ${{ github.workspace }}/puredata_include/m_pd.h
cat ${{ github.workspace }}/puredata_include/m_pd.h
- name: Build
run: |
mkdir build
export CC=$(brew --prefix llvm)/bin/clang
export CXX=$(brew --prefix llvm)/bin/clang++
export SIGN_ID=${{ secrets.SIGN_ID }}
cd build
cmake ../src -DCMAKE_C_COMPILER=$CC -DCMAKE_CXX_COMPILER=$CXX -DTORCH_MAC_UB_URL=${{ secrets.TORCH_UB_PATH }} -DCMAKE_BUILD_TYPE=Release -DCMAKE_OSX_ARCHITECTURES=arm64
make
- name: Max/MSP Package creation
run: |
mkdir nn_tilde
mkdir nn_tilde/help
mv src/externals src/help src/support src/patchers src/extras src/package-info.json src/icon.png src/source src/models src/misc nn_tilde
tar -czvf nn_max_msp_macOS_arm64.tar.gz nn_tilde
- name: PureData Package creation
run: |
rm -fr nn_tilde
mv build/frontend/puredata/nn_tilde .
mv src/frontend/puredata/nn_tilde/nn~-help.pd nn_tilde
rm -fr nn_tilde/CMakeFiles/ nn_tilde/*.cmake nn_tilde/Makefile
tar -czvf nn_puredata_macOS_arm64.tar.gz nn_tilde
- name: Upload binaries
uses: actions/upload-artifact@v4
with:
name: nn_tilde_mac_arm64
path: |
nn_max_msp_macOS_arm64.tar.gz
nn_puredata_macOS_arm64.tar.gz
osx-x64-build:
runs-on: macos-latest
steps:
- name: Check out code
uses: actions/checkout@v2
- uses: actions/setup-python@v5
with:
python-version: "3.11"
- run: |
git submodule update --init --recursive
git fetch --tags
git describe --tags --always
curl -L ${{ secrets.WHEEL_PATH }} -o src/models/wheel.ts
- name: Install x86_64 Homebrew
run: |
sudo rm -rf /opt/homebrew
sudo rm -rf /usr/local/homebrew
sudo mkdir -p /usr/local/homebrew
sudo chown -R $(whoami) /usr/local/homebrew
arch -x86_64 /bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)" --prefix=/usr/local/homebrew
arch -x86_64 /usr/local/bin/brew shellenv >> $GITHUB_ENV
- name: Downloading wheels & libtorch for x64
run: |
curl -L ${{ secrets.TORCH_WHEEL }} > torch-2.5.1-cp313-cp313-macosx_14_0_x86_64.whl
curl -L ${{ secrets.TORCH_UB_PATH }} > torch_ub.zip
mkdir torch
unzip torch_ub.zip -d torch
mv torch/torch torch/libtorch
- name: Installing miniconda and dependencies...
run: |
ls
curl -L https://repo.anaconda.com/miniconda/Miniconda3-latest-MacOSX-x86_64.sh > miniconda.sh
chmod 777 ./miniconda.sh
bash ./miniconda.sh -b -u -p ./env
source ./env/bin/activate
- name: Installing torch
run : |
source ./env/bin/activate
export DYLD_LIBRARY_PATH=${{ github.workspace }}/torch/lib:$DYLD_LIBRARY_PATH
arch -x86_64 conda install -c conda-forge cmake ninja numpy setuptools mkl mkl-include typing_extensions protobuf
arch -x86_64 pip install ./torch-2.5.1-cp313-cp313-macosx_14_0_x86_64.whl
arch -x86_64 pip install cached_conv>=2.5.0
arch -x86_64 pip install cmake==3.28
arch -x86_64 conda install -c conda-forge curl
TARGET_DIR=$(find env/lib -type d -name "python3*")
TARGET_DIR="${TARGET_DIR}/site-packages/torch/share/cmake/Caffe2/public"
cp install/mkl.cmake "${TARGET_DIR}"
- name: Setup LLVM
run: |
rm '/usr/local/bin/pydoc3'
rm /usr/local/bin/pydoc3.13
rm /usr/local/bin/python3
rm /usr/local/bin/python3-config
rm /usr/local/bin/python3.13
rm /usr/local/bin/python3.13-config
rm '/usr/local/bin/pip3.13'
rm '/usr/local/bin/idle3'
rm '/usr/local/bin/idle3.13'
arch -x86_64 /usr/local/bin/brew install llvm
export LDFLAGS="-L/usr/local/opt/llvm/lib"
export CPPFLAGS="-I/usr/local/opt/llvm/include"
- name: Setup puredata
run: |
mkdir puredata_include
curl -L https://raw.githubusercontent.com/pure-data/pure-data/master/src/m_pd.h -o puredata_include/m_pd.h
- name: Build
run: |
mkdir build
export CC=$(/usr/local/bin/brew --prefix llvm)/bin/clang
export CXX=$(/usr/local/bin/brew --prefix llvm)/bin/clang++
export SIGN_ID=${{ secrets.SIGN_ID }}
cd build
arch -x86_64 ../env/bin/cmake ../src -DCMAKE_C_COMPILER=$CC -DCMAKE_CXX_COMPILER=$CXX -DCMAKE_BUILD_TYPE=Release -DPUREDATA_INCLUDE_DIR=${{ github.workspace }}/puredata_include -DCMAKE_OSX_ARCHITECTURES=x86_64
arch -x86_64 make
- name: Max/MSP Package creation
run: |
mkdir nn_tilde
mkdir nn_tilde/help
mv src/externals src/help src/support src/patchers src/extras src/package-info.json src/icon.png src/source src/models src/misc nn_tilde
tar -czvf nn_max_msp_macOS_x64.tar.gz nn_tilde
- name: PureData Package creation
run: |
rm -fr nn_tilde
mv build/frontend/puredata/nn_tilde .
mv src/frontend/puredata/nn_tilde/nn~-help.pd nn_tilde
rm -fr nn_tilde/CMakeFiles/ nn_tilde/*.cmake nn_tilde/Makefile
tar -czvf nn_puredata_macOS_x64.tar.gz nn_tilde
- name: Upload binaries
uses: actions/upload-artifact@v4
with:
name: nn_tilde_mac_x86_64
path: |
nn_max_msp_macOS_x64.tar.gz
nn_puredata_macOS_x64.tar.gz
linux:
runs-on: ${{ matrix.runs-on }}
strategy:
matrix:
arch: [amd64]
include:
- arch: amd64
runs-on: ubuntu-latest
artifact-name: nn_linux_puredata_x86_64
conda-url: https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh
steps:
- name: Check out code
uses: actions/checkout@v2
- run: |
git submodule update --init --recursive
git fetch --tags
GIT_TRACE=1 git describe --tags --always
- name: Setup LLVM
run: |
sudo apt-get install -y ca-certificates
sudo apt install gcc-10 g++-10
- name: Setup miniconda
run: |
echo "architecture : $(uname -m)"
curl --cacert /etc/ssl/certs/ca-certificates.crt -L ${{ matrix.conda-url }} > miniconda.sh
chmod +x ./miniconda.sh
bash ./miniconda.sh -b -u -p ./env
source ./env/bin/activate
conda install python=3.11
pip3 install torch --index-url https://download.pytorch.org/whl/cpu
conda install -c conda-forge curl
# conda install -c pytorch torch==2.5.1 torchaudio==2.5.1
# pip install -r requirements.txt
- name: Setup puredata
run: |
mkdir puredata_include
curl --cacert /etc/ssl/certs/ca-certificates.crt -L https://raw.githubusercontent.com/pure-data/pure-data/master/src/m_pd.h -o puredata_include/m_pd.h
- name: Build
run: |
mkdir build
export CC=$(which gcc-10)
export CXX=$(which g++-10)
cd build
cmake ../src -DCMAKE_C_COMPILER=$CC -DCMAKE_CXX_COMPILER=$CXX -DCMAKE_PREFIX_PATH=${{ github.workspace }}/env/lib/python3.12/site-packages/torch -DCMAKE_BUILD_TYPE=Release -DPUREDATA_INCLUDE_DIR=${{ github.workspace }}/puredata_include
make
- name: PureData Package creation
run: |
mkdir nn_tilde
mv build/frontend/puredata/nn_tilde .
mv src/frontend/puredata/nn_tilde/nn~-help.pd nn_tilde
rm -fr nn_tilde/CMakeFiles/ nn_tilde/*.cmake nn_tilde/Makefile
tar -czvf ${{ matrix.artifact-name }}.tar.gz nn_tilde
- name: Upload binaries
uses: actions/upload-artifact@v4
with:
name: ${{ matrix.artifact-name }}
path:
${{ matrix.artifact-name }}.tar.gz
windows-x64-build:
runs-on: windows-latest
steps:
- name: Check out code
uses: actions/checkout@v2
- run: |
git submodule update --init --recursive
git fetch --tags
curl -L ${{ secrets.WHEEL_PATH }} -o src/models/wheel.ts
- name: Setup puredata
run: |
mkdir pd
cd pd
curl -L https://msp.ucsd.edu/Software/pd-0.55-2.msw.zip -o pd.zip
unzip pd.zip
mv pd*/src .
mv pd*/bin .
cd ..
- name: Installing dependencies with vcpkg
run: |
git clone https://github.com/microsoft/vcpkg.git
cd vcpkg
./bootstrap-vcpkg.bat
./vcpkg.exe integrate install
./vcpkg.exe install curl
cd ..
- name: Build
run: |
mkdir build
cd build
cmake ../src -G "Visual Studio 17 2022" -DPUREDATA_INCLUDE_DIR=${{ github.workspace }}/pd/src -DPUREDATA_BIN_DIR=${{ github.workspace }}/pd/bin -A x64
cmake --build . --config Release
- name: Max/MSP Package creation
run: |
mkdir nn_tilde
mkdir nn_tilde/support
ls
cp torch/libtorch/lib/* nn_tilde/support
cp vcpkg/installed/x64-windows/lib/*.lib nn_tilde/support
cp vcpkg/installed/x64-windows/bin/*.dll nn_tilde/support
curl -L https://curl.se/ca/cacert.pem -o nn_tilde/support/cacert.pem
$files = @("src\externals", "src\help", "src\patchers", "src\extras", "src\package-info.json", "src\icon.png", "src\source", "src\models", "src\misc")
foreach ($file in $files) {
mv $file nn_tilde
}
curl -L https://nubo.ircam.fr/index.php/s/7xBPxJZA6nJFHkG -o ${{ secrets.WHEEL_PATH }}
tar -czvf nn_max_msp_windows_x64.tar.gz nn_tilde
- name: PureData Package creation
run: |
Remove-Item -Recurse -Force nn_tilde
mkdir nn_tilde
mv build/frontend/puredata/nn_tilde/Release/* nn_tilde/
cp torch/libtorch/lib/* nn_tilde/
cp vcpkg/installed/x64-windows/lib/*.lib nn_tilde/
cp vcpkg/installed/x64-windows/bin/*.dll nn_tilde/
curl -L https://curl.se/ca/cacert.pem -o nn_tilde/cacert.pem
tar -czvf nn_puredata_windows_x64.tar.gz nn_tilde
- name: Upload binaries
uses: actions/upload-artifact@v4
with:
name: nn_tilde_win_x64
path: |
nn_max_msp_windows_x64.tar.gz
nn_puredata_windows_x64.tar.gz
MakeMaxUniversalForMac:
runs-on: macos-latest
needs: [osx-arm64-build, osx-x64-build]
steps:
- name: Download build binaries (arm64)
uses: actions/download-artifact@v4
with:
name: nn_tilde_mac_arm64
- name: Download build binaries (x86)
uses: actions/download-artifact@v4
with:
name: nn_tilde_mac_x86_64
- name: Build ub max with lipo
run: |
tar -xvf nn_max_msp_macOS_arm64.tar.gz
mv nn_tilde nn_tilde_arm64
tar -xvf nn_max_msp_macOS_x64.tar.gz
mv nn_tilde nn_tilde_x64
curl -L https://raw.githubusercontent.com/domkirke/nn_tilde/refs/heads/dev/install/macos_max_makeub.sh > macos_max_makeub.sh
chmod 777 ./macos_max_makeub.sh
./macos_max_makeub.sh
- name: Install signing certificate
run: |
CERT_PATH="$RUNNER_TEMP/signing-identity.p12"
echo "${{ secrets.CERT }}" | base64 -D > $CERT_PATH
security create-keychain -p "" build.keychain
security default-keychain -s build.keychain
security unlock-keychain -p "" build.keychain
security import $CERT_PATH -k build.keychain -P "${{ secrets.CERT_PASSWORD }}" -T /usr/bin/codesign
security set-key-partition-list -S apple-tool:,apple: -s -k "" build.keychain
codesign --deep --force --sign ${{ secrets.SIGN_ID }} nn_tilde/support/*.dylib
for i in $(find nn_tilde/externals/*/Contents/MacOS -type f -perm -111); do codesign --deep --force --sign ${{ secrets.SIGN_ID }} nn_tilde/externals/$(basename $i).mxo/Contents/MacOS/$(basename $i); done
- name: Compressing...
run: tar -czvf nn_max_msp_macos_ub.tar.gz nn_tilde
- name: Upload UB
uses: actions/upload-artifact@v4
with:
name: nn_tilde_macos_max_ub
path: |
nn_max_msp_macos_ub.tar.gz
MakePdUniversalForMac:
runs-on: macos-latest
needs: [osx-arm64-build, osx-x64-build]
steps:
- name: Download build binaries (arm64)
uses: actions/download-artifact@v4
with:
name: nn_tilde_mac_arm64
- name: Download build binaries (x86)
uses: actions/download-artifact@v4
with:
name: nn_tilde_mac_x86_64
- name: build ub max with lipo
run: |
tar -xvf nn_puredata_macOS_arm64.tar.gz
mv nn_tilde nn_tilde_arm64
tar -xvf nn_puredata_macOS_x64.tar.gz
mv nn_tilde nn_tilde_x64
curl -L https://raw.githubusercontent.com/domkirke/nn_tilde/refs/heads/dev/install/macos_pd_makeub.sh > macos_pd_makeub.sh
chmod 777 ./macos_pd_makeub.sh
./macos_pd_makeub.sh
- name: Install signing certificate
run: |
CERT_PATH="$RUNNER_TEMP/signing-identity.p12"
echo "${{ secrets.CERT }}" | base64 -D > $CERT_PATH
security create-keychain -p "" build.keychain
security default-keychain -s build.keychain
security unlock-keychain -p "" build.keychain
security import $CERT_PATH -k build.keychain -P "${{ secrets.CERT_PASSWORD }}" -T /usr/bin/codesign
security set-key-partition-list -S apple-tool:,apple: -s -k "" build.keychain
codesign --deep --force --sign ${{ secrets.SIGN_ID }} nn_tilde/*.dylib
codesign --deep --force --sign ${{ secrets.SIGN_ID }} nn_tilde/nn~.pd_darwin
- name: Compressing archive...
run: tar -czvf nn_puredata_macos_ub.tar.gz nn_tilde
- name: Upload UB
uses: actions/upload-artifact@v4
with:
name: nn_tilde_macos_pd_ub
path: |
nn_puredata_macos_ub.tar.gz
AutomaticRelease:
runs-on: ubuntu-latest
needs: [MakeMaxUniversalForMac, MakePdUniversalForMac, linux, windows-x64-build]
steps:
- name: Download Max build binaries (mac)
uses: actions/download-artifact@v4
with:
name: nn_tilde_macos_max_ub
- name: Download Pd binaries (mac)
uses: actions/download-artifact@v4
with:
name: nn_tilde_macos_pd_ub
- name: Download build binaries (linux_x86_64)
uses: actions/download-artifact@v4
with:
name: nn_linux_puredata_x86_64
- name: Download build binaries (windows mac_x86_64)
uses: actions/download-artifact@v4
with:
name: nn_tilde_win_x64
- name: Automated Release
uses: "marvinpinto/action-automatic-releases@latest"
with:
repo_token: "${{ secrets.GITHUB_TOKEN }}"
prerelease: false
files: |
nn_max_msp_macos_ub.tar.gz
nn_puredata_macos_ub.tar.gz
nn_linux_puredata_x86_64.tar.gz
nn_max_msp_windows_x64.tar.gz
nn_puredata_windows_x64.tar.gz
================================================
FILE: .github/workflows/python-publish.yaml
================================================
name: Upload Python Package
on:
push:
tags:
- "v*"
permissions:
contents: read
jobs:
deploy:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v3
- name: Set up Python
uses: actions/setup-python@v3
with:
python-version: '3.10'
- name: Install dependencies
run: |
python -m pip install --upgrade pip setuptools wheel build
python -m pip install -r requirements.txt
- name: Build package
run: NN_TILDE_VERSION=${{ github.ref_name }} python -m build
- name: Publish package
uses: pypa/gh-action-pypi-publish@27b31702a0e7fc50959f5ad993c78deac1bdfc29
with:
verbose: true
user: __token__
password: ${{ secrets.PYPI_TOKEN }}
================================================
FILE: .gitignore
================================================
*build
src/externals
src/frontend/tests
src/tests
.vscode
*libtorch
*DS_Store*
src/docs
dist/
*.egg-info*
================================================
FILE: .gitmodules
================================================
[submodule "src/frontend/maxmsp/min-api"]
path = src/frontend/maxmsp/min-api
url = https://github.com/Cycling74/min-api.git
[submodule "src/json"]
path = src/json
url = https://github.com/nlohmann/json.git
================================================
FILE: LICENSE
================================================
Creative Commons Attribution-NonCommercial 4.0 International
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================================================
FILE: MANIFEST.in
================================================
include requirements.txt
================================================
FILE: README.md
================================================
# Demonstration video
[](https://www.youtube.com/watch?v=dMZs04TzxUI)
# Installation
Grab the [latest release of nn~](https://github.com/acids-ircam/nn_tilde/releases/latest) ! Be sure to download the correct version for your installation.
## MaxMSP
Uncompress the `.tar.gz` file in the Package folder of your Max installation, i.e. in `Documents/Max [your version]/Packages/`. You can then instantiate an `nn~` object! Alt-click the `nn~` object to open the help patch, or access the nn~ Overview patch in the Extras menu.
##### Mac alert : codesigned with IRCAM identity and not trigger MacOS quarantine ; if it does so, please launch in the terminal :
```bash
cd "~/Max X/Packages/nn_tilde
sudo codesign --deep --force --sign - support/*.dylib
sudo codesign --deep --force --sign - externals/*/Contents/MacOS/*
xattr -r -d com.apple.quarantine externals/*/Contents/MacOS/*
```
Alt+click on the `nn~` object to open the help patch, and follow the tabs to learn more about this project.
## PureData
Uncompress the `.tar.gz` file in the Package folder of your Pd installation, i.e. in `Documents/Pd/externals/`. You can then add a new path in the `Pd/File/Preferences/Path` menu pointing to the `nn_tilde` folder.
Similarly, the external should not be blocked on recent MacOS systems. It it still is, `cd` to the `nn_tilde` folder and fix with
```bash
xattr -r -d com.apple.quarantine Documents/Pd/externals/nn_tilde
sudo codesign --deep --force --sign - Documents/Pd/externals/nn_tilde/*.dylib
sudo codesign --deep --force --sign - Documents/Pd/externals/nn_tilde/nn\~.pd_darwin
```
# Usage
## Pretrained models
At its core, `nn~` is a translation layer between Max/MSP or PureData and the [libtorch c++ interface for deep learning](https://pytorch.org/). Alone, `nn~` is like an empty shell, and **requires pretrained models** to operate. Since v1.6.0, you can download them directly through Forum IRCAM API. Alternatively, you can find a few [RAVE](https://github.com/acids-ircam/RAVE) models [here](https://acids-ircam.github.io/rave_models_download) or [here](https://huggingface.co/Intelligent-Instruments-Lab/rave-models). Few [vschaos2](https://github.com/acids-ircam/vschaos2) models are also available[here](https://www.dropbox.com/sh/avdeiza7c6bn2of/AAAGZsnRo9ZVMa0iFhouCBL-a?dl=0).
Pretrained model for `nn~` are **torchscript files**, with a `.ts` extension. You can add these files to `nn_tilde/models` folders, or any place accessible through Max / Pd filesystem (Max: `Options/File Preferences`, PureData: `File/Preferences/Path`).
**New** : since v1.6.0, some models are directly downloadable through IRCAM Forum API.
Once this is done, you can load a model with `nn~` by providing its name as first argument (for example, here `isis.ts` located inside `nn_tilde/models` for Max, or among the PureData patch):
<table>
<tr>
<th width="50%">Max / MSP</th>
<th width="50%">PureData</th>
</tr>
<tr>
<td><img width="100%" src="assets/max_instance.png" /></td>
<td><img width="100%" src="assets/pd_instance.png" /></td>
</tr>
</table>
## Model information fetching
## Model information fetching
Coming with v1.6.0, the `nn.info` object allows model inspection and fetching avilable models for download on the IRCAM-API. With this object, you can get available methods and attributes for a given model. For example, you can see below that a RAVE model has three different methods : `encode`, `decode`, and `forward`.
<center>
<img src="assets/max_nninfo.png"/>
</center>
### Methods
Models can have several _methods_, that correspond to several processing pipelines the model can achieve. Hence, each method can have a different number in inlets / outlets. The method is given as the third argument (for exemple, `decode` above), and equals `forward` by default.
### Attributes
It is possible the internal state of the module through _attributes_, that are **model-dependent** and defined at exportation. Model attributes can be set using _messages_, with the following syntax:
```bash
set ATTRIBUTE_NAME ATTRIBUTE_VAL_1 ATTRIBUTE_VAL_2
```
Using Max/MSP and PureData graphical objects, this can lead to an intuitive way to modify the behavior of the model, as shown below where we have two model attributes (i.e. generation temperature and generation mode), and the special `enable` attribute.
<table>
<tr>
<th width="50%">Max / MSP</th>
<th width="50%">PureData</th>
</tr>
<tr>
<td><img width="100%" src="assets/max_attr.png" /></td>
<td><img width="100%" src="assets/pd_attr.png" /></td>
</tr>
</table>
**New in 1.6.0**
- Buffers (Max) / Array (Pd) attribute setting to allow the `.ts` model to access internal buffers / arrays.
- `torch.Tensor` attributes can be set through Max/MSP `[array]`, allowing to set attributes of unlimited size.
## Buffer configuration
Internally, `nn~` has a circular buffer mechanism that helps maintain a reasonable computational load, if the given buffer size is greater tha 0. You can modify its size through the use of an additional integer after the method declaration, as shown below.
**Important**For Windows users, the circular buffer is automatically disabled because of a memory leak [that occurs when a TorchScript model is used in a separate thread](https://github.com/pytorch/pytorch/issues/24237). Unfortunately, this implies a much lower efficiency in terms of CPU.
<table>
<tr>
<th width="50%">Max / MSP</th>
<th width="50%">PureData</th>
</tr>
<tr>
<td><img width="100%" src="assets/max_buffer.png" /></td>
<td><img width="100%" src="assets/pd_buffer.png" /></td>
</tr>
</table>
## Multichannel (Max/MSP)
The Max/MSP release of `nn~` includes additional externals, namely `mc.nn~` and `mcs.nn~`, allowing the use of the multicanal abilities of Max 8+ to simplify the patching process with `nn~` and optionally decrease the computational load.
In the following examples, two audio files are being encoded then decoded by the same model in parallel
This patch can be improved both visually _and_ computationally speaking by using `mc.nn~` and using _batch operations_
Using `mc.nn~` we build the multicanal signals **over the different batches**. In the example above, each multicanal signal will have 2 different canals. We also propose the `mcs.nn~` external that builds multicanal signals **over the different dimensions**, as shown in the example below
In the example above, the two multicanals signals yielded by the `nn~ rave encode 2` object have 16 canals each, corresponding to the 16 latent dimensions. This can help patching, while keeping the batching abilities of `mc.nn~` by creating an explicit number of inlets / oulets corresponding to the number of examples we want to process in parallel.
To recap, the regular `nn~` operates on a single example, and has as many inlets / outlets as the model has inputs / outputs. The `mc.nn~` external is like `nn~`, but can process multiple examples _at the same time_. The `mcs.nn~` variant is a bit different, and can process mulitple examples at the same time, but will **have one inlet / outlet per examples**.
## Lazy mode (Max/MSP)
Since v1.6.0, nn~ has a `void` mode, that allows to initialise it with a fixed number of inlets / outlets, and may be attached to a model afterwards. This can be done with the `void` special model, that enables this lazy initialisation.
<center>
<img src="assets/max_void.png" width="30%"/>
</center>
## Special messages
### enable [0 / 1]
Enable / Disable computation to save up computation without deleting the model. Similar to how a _bypass_ function would work.
### reload
Dynamically reloads the model. Can be useful if you want to periodically update the state of a model during a training.
### dump
Prints methods / attributes of the loaded model.
### print_available_models
Prints models downloadable through API.
### download
Download a model from the API.
### delete
Deletes a downloaded model.
### load
Change dynamically the incoming model.
### method
Change dynamically the used method.
# Scripting any PyTorch model in nn~
In the [`scripting`](https://github.com/acids-ircam/nn_tilde/tree/master/scripting) subfolder, you can find a series of examples that demonstrate how to write simple scripts to incorporate any type of deep models from PyTorch into MaxMSP (and potentially running on GPU). The examples show different use cases that also help to understand the input/output shapes relationships.
- `effects.py` : apply simple effects to the input (identical input and output shapes)
- `features.py` : compute spectral descriptors from the PyTorch audio library (each input audio buffer produces a single float as output)
- `unmix.py` : apply the unmix deep source separation model (input is split into 4 different audio streams containing « drums », « vocals », « bass » and « others »)
# Build Instructions
## macOS
- Download the latest libtorch (CPU) [here](https://pytorch.org/get-started/locally/) and unzip it to a known directory
- Run the following commands:
```bash
git clone https://github.com/acids-ircam/nn_tilde --recurse-submodules
cd nn_tilde
curl -L https://repo.anaconda.com/miniconda/Miniconda3-latest-MacOSX-arm64.sh > miniconda.sh
chmod +x ./miniconda.sh
bash ./miniconda.sh -b -u -p ./env
source ./env/bin/activate
pip install -r requirements.txt
conda install -c conda-forge curl
mkdir build
cd build
mkdir puredata_include
curl -L https://raw.githubusercontent.com/pure-data/pure-data/master/src/m_pd.h -o puredata_include/m_pd.h
export CC=$(brew --prefix llvm)/bin/clang
export CXX=$(brew --prefix llvm)/bin/clang++
cd build
cmake ../src -DCMAKE_C_COMPILER=$CC -DCMAKE_CXX_COMPILER=$CXX -DCMAKE_PREFIX_PATH=../env/lib/python3.12/site-packages/torch -DCMAKE_BUILD_TYPE=Release -DPUREDATA_INCLUDE_DIR=../puredata_include -DCMAKE_OSX_ARCHITECTURES=arm64
cmake --build . --config Release
```
please replace `arm64` in the last line by `x86_64` if you want compile for 64 bits. You can remove `-DPUREDATA_INCLUDE_DIR=../puredata_include` to compile only for Max. The Max package is produced in `src/`, and Pd external in `build/frontend/puredata/Release`.
## Windows
- Download Libtorch (CPU) and dependencies [here](https://pytorch.org/get-started/locally/) and unzip to a known directory.
- Install [Visual Studio Redistribuable](https://learn.microsoft.com/fr-fr/cpp/windows/latest-supported-vc-redist?view=msvc-170)
- Run the following commands (here for Git Bash):
```bash
git clone https://github.com/acids-ircam/nn_tilde --recurse-submodules
cd nn_tilde
curl -L https://download.pytorch.org/libtorch/cpu/libtorch-win-shared-with-deps-2.6.0%2Bcpu.zip > "libtorch.zip"
unzip libtorch.zip
mkdir pd
cd pd
curl -L https://msp.ucsd.edu/Software/pd-0.55-2.msw.zip -o pd.zip
unzip pd.zip
mv pd*/src .
mv pd*/bin .
cd ..
git clone https://github.com/microsoft/vcpkg.git
cd vcpkg
./bootstrap-vcpkg.bat
./vcpkg.exe integrate install
./vcpkg.exe install curl
cd ..
mkdir build
cd build
mkdir puredata_include
curl -L https://raw.githubusercontent.com/pure-data/pure-data/master/src/m_pd.h -o puredata_include/m_pd.h
export CC=$(brew --prefix llvm)/bin/clang
export CXX=$(brew --prefix llvm)/bin/clang++
cd build
cmake ../src -G "Visual Studio 17 2022" -DTorch_DIR=../libtorch/share/cmake/Torch -DPUREDATA_INCLUDE_DIR=../pd/src -DPUREDATA_BIN_DIR=../pd/bin -A x64
cmake --build . --config Release
```
You can remove `-DPUREDATA_INCLUDE_DIR=../puredata_include` to compile only for Max. The Max package is produced in `src/`, and Pd external in `build/frontend/puredata/Release`.
## Raspberry Pi
**not availble in v1.6.0, planned in next version ; please take previous versions if needed**
While nn~ can be compiled and used on Raspberry Pi, you may have to consider using lighter deep learning models. We currently only support 64bit OS.
Install nn~ for PureData using
```bash
curl -s https://raw.githubusercontent.com/acids-ircam/nn_tilde/master/install/raspberrypi.sh | bash
```
# Funding
This work is led at IRCAM, and has been funded by the following projects
* [ANR MakiMono](https://acids.ircam.fr/course/makimono/)
* [ACTOR](https://www.actorproject.org/)
* [DAFNE+](https://dafneplus.eu/) N° 101061548
<img src="https://ec.europa.eu/regional_policy/images/information-sources/logo-download-center/eu_co_funded_en.jpg" width=200px/>
================================================
FILE: docs/index.md
================================================
# Demonstration video
[](https://www.youtube.com/watch?v=dMZs04TzxUI)
# Installation
Grab the [latest release of nn~](https://github.com/acids-ircam/nn_tilde/releases/latest) ! Be sure to download the correct version for your installation.
## MaxMSP
Uncompress the `.tar.gz` file in the Package folder of your Max installation, i.e. in `Documents/Max [your version]/Packages/`. You can then instantiate an `nn~` object! Alt-click the `nn~` object to open the help patch, or access the nn~ Overview patch in the Extras menu.
##### Mac alert : codesigned with IRCAM identity and not trigger MacOS quarantine ; if it does so, please launch in the terminal :
```bash
cd "~/Max X/Packages/nn_tilde
sudo codesign --deep --force --sign - support/*.dylib
sudo codesign --deep --force --sign - externals/*/Contents/MacOS/*
xattr -r -d com.apple.quarantine externals/*/Contents/MacOS/*
```
Alt+click on the `nn~` object to open the help patch, and follow the tabs to learn more about this project.
## PureData
Uncompress the `.tar.gz` file in the Package folder of your Pd installation, i.e. in `Documents/Pd/externals/`. You can then add a new path in the `Pd/File/Preferences/Path` menu pointing to the `nn_tilde` folder.
Similarly, the external should not be blocked on recent MacOS systems. It it still is, `cd` to the `nn_tilde` folder and fix with
```bash
xattr -r -d com.apple.quarantine Documents/Pd/externals/nn_tilde
sudo codesign --deep --force --sign - Documents/Pd/externals/nn_tilde/*.dylib
sudo codesign --deep --force --sign - Documents/Pd/externals/nn_tilde/nn\~.pd_darwin
```
# Usage
## Pretrained models
At its core, `nn~` is a translation layer between Max/MSP or PureData and the [libtorch c++ interface for deep learning](https://pytorch.org/). Alone, `nn~` is like an empty shell, and **requires pretrained models** to operate. Since v1.6.0, you can download them directly through Forum IRCAM API. Alternatively, you can find a few [RAVE](https://github.com/acids-ircam/RAVE) models [here](https://acids-ircam.github.io/rave_models_download) or [here](https://huggingface.co/Intelligent-Instruments-Lab/rave-models). Few [vschaos2](https://github.com/acids-ircam/vschaos2) models are also available[here](https://www.dropbox.com/sh/avdeiza7c6bn2of/AAAGZsnRo9ZVMa0iFhouCBL-a?dl=0).
Pretrained model for `nn~` are **torchscript files**, with a `.ts` extension. You can add these files to `nn_tilde/models` folders, or any place accessible through Max / Pd filesystem (Max: `Options/File Preferences`, PureData: `File/Preferences/Path`).
**New** : since v1.6.0, some models are directly downloadable through IRCAM Forum API.
Once this is done, you can load a model with `nn~` by providing its name as first argument (for example, here `isis.ts` located inside `nn_tilde/models` for Max, or among the PureData patch):
<table>
<tr>
<th width="50%">Max / MSP</th>
<th width="50%">PureData</th>
</tr>
<tr>
<td><img width="100%" src="assets/max_instance.png" /></td>
<td><img width="100%" src="assets/pd_instance.png" /></td>
</tr>
</table>
## Model information fetching
## Model information fetching
Coming with v1.6.0, the `nn.info` object allows model inspection and fetching avilable models for download on the IRCAM-API. With this object, you can get available methods and attributes for a given model. For example, you can see below that a RAVE model has three different methods : `encode`, `decode`, and `forward`.
<center>
<img src="assets/max_nninfo.png"/>
</center>
### Methods
Models can have several _methods_, that correspond to several processing pipelines the model can achieve. Hence, each method can have a different number in inlets / outlets. The method is given as the third argument (for exemple, `decode` above), and equals `forward` by default.
### Attributes
It is possible the internal state of the module through _attributes_, that are **model-dependent** and defined at exportation. Model attributes can be set using _messages_, with the following syntax:
```bash
set ATTRIBUTE_NAME ATTRIBUTE_VAL_1 ATTRIBUTE_VAL_2
```
Using Max/MSP and PureData graphical objects, this can lead to an intuitive way to modify the behavior of the model, as shown below where we have two model attributes (i.e. generation temperature and generation mode), and the special `enable` attribute.
<table>
<tr>
<th width="50%">Max / MSP</th>
<th width="50%">PureData</th>
</tr>
<tr>
<td><img width="100%" src="assets/max_attr.png" /></td>
<td><img width="100%" src="assets/pd_attr.png" /></td>
</tr>
</table>
**New in 1.6.0**
- Buffers (Max) / Array (Pd) attribute setting to allow the `.ts` model to access internal buffers / arrays.
- `torch.Tensor` attributes can be set through Max/MSP `[array]`, allowing to set attributes of unlimited size.
## Buffer configuration
Internally, `nn~` has a circular buffer mechanism that helps maintain a reasonable computational load, if the given buffer size is greater tha 0. You can modify its size through the use of an additional integer after the method declaration, as shown below.
**Important**For Windows users, the circular buffer is automatically disabled because of a memory leak [that occurs when a TorchScript model is used in a separate thread](https://github.com/pytorch/pytorch/issues/24237). Unfortunately, this implies a much lower efficiency in terms of CPU.
<table>
<tr>
<th width="50%">Max / MSP</th>
<th width="50%">PureData</th>
</tr>
<tr>
<td><img width="100%" src="assets/max_buffer.png" /></td>
<td><img width="100%" src="assets/pd_buffer.png" /></td>
</tr>
</table>
## Multichannel (Max/MSP)
The Max/MSP release of `nn~` includes additional externals, namely `mc.nn~` and `mcs.nn~`, allowing the use of the multicanal abilities of Max 8+ to simplify the patching process with `nn~` and optionally decrease the computational load.
In the following examples, two audio files are being encoded then decoded by the same model in parallel
This patch can be improved both visually _and_ computationally speaking by using `mc.nn~` and using _batch operations_
Using `mc.nn~` we build the multicanal signals **over the different batches**. In the example above, each multicanal signal will have 2 different canals. We also propose the `mcs.nn~` external that builds multicanal signals **over the different dimensions**, as shown in the example below
In the example above, the two multicanals signals yielded by the `nn~ rave encode 2` object have 16 canals each, corresponding to the 16 latent dimensions. This can help patching, while keeping the batching abilities of `mc.nn~` by creating an explicit number of inlets / oulets corresponding to the number of examples we want to process in parallel.
To recap, the regular `nn~` operates on a single example, and has as many inlets / outlets as the model has inputs / outputs. The `mc.nn~` external is like `nn~`, but can process multiple examples _at the same time_. The `mcs.nn~` variant is a bit different, and can process mulitple examples at the same time, but will **have one inlet / outlet per examples**.
## Lazy mode (Max/MSP)
Since v1.6.0, nn~ has a `void` mode, that allows to initialise it with a fixed number of inlets / outlets, and may be attached to a model afterwards. This can be done with the `void` special model, that enables this lazy initialisation.
<center>
<img src="assets/max_void.png" width="30%"/>
</center>
## Special messages
### enable [0 / 1]
Enable / Disable computation to save up computation without deleting the model. Similar to how a _bypass_ function would work.
### reload
Dynamically reloads the model. Can be useful if you want to periodically update the state of a model during a training.
### dump
Prints methods / attributes of the loaded model.
### print_available_models
Prints models downloadable through API.
### download
Download a model from the API.
### delete
Deletes a downloaded model.
### load
Change dynamically the incoming model.
### method
Change dynamically the used method.
# Build Instructions
## macOS
- Download the latest libtorch (CPU) [here](https://pytorch.org/get-started/locally/) and unzip it to a known directory
- Run the following commands:
```bash
git clone https://github.com/acids-ircam/nn_tilde --recurse-submodules
cd nn_tilde
curl -L https://repo.anaconda.com/miniconda/Miniconda3-latest-MacOSX-arm64.sh > miniconda.sh
chmod +x ./miniconda.sh
bash ./miniconda.sh -b -u -p ./env
source ./env/bin/activate
pip install -r requirements.txt
conda install -c conda-forge curl
mkdir build
cd build
mkdir puredata_include
curl -L https://raw.githubusercontent.com/pure-data/pure-data/master/src/m_pd.h -o puredata_include/m_pd.h
export CC=$(brew --prefix llvm)/bin/clang
export CXX=$(brew --prefix llvm)/bin/clang++
cd build
cmake ../src -DCMAKE_C_COMPILER=$CC -DCMAKE_CXX_COMPILER=$CXX -DCMAKE_PREFIX_PATH=../env/lib/python3.12/site-packages/torch -DCMAKE_BUILD_TYPE=Release -DPUREDATA_INCLUDE_DIR=../puredata_include -DCMAKE_OSX_ARCHITECTURES=arm64
cmake --build . --config Release
```
please replace `arm64` in the last line by `x86_64` if you want compile for 64 bits. You can remove `-DPUREDATA_INCLUDE_DIR=../puredata_include` to compile only for Max. The Max package is produced in `src/`, and Pd external in `build/frontend/puredata/Release`.
## Windows
- Download Libtorch (CPU) and dependencies [here](https://pytorch.org/get-started/locally/) and unzip to a known directory.
- Install [Visual Studio Redistribuable](https://learn.microsoft.com/fr-fr/cpp/windows/latest-supported-vc-redist?view=msvc-170)
- Run the following commands (here for Git Bash):
```bash
git clone https://github.com/acids-ircam/nn_tilde --recurse-submodules
cd nn_tilde
curl -L https://download.pytorch.org/libtorch/cpu/libtorch-win-shared-with-deps-2.6.0%2Bcpu.zip > "libtorch.zip"
unzip libtorch.zip
mkdir pd
cd pd
curl -L https://msp.ucsd.edu/Software/pd-0.55-2.msw.zip -o pd.zip
unzip pd.zip
mv pd*/src .
mv pd*/bin .
cd ..
git clone https://github.com/microsoft/vcpkg.git
cd vcpkg
./bootstrap-vcpkg.bat
./vcpkg.exe integrate install
./vcpkg.exe install curl
cd ..
mkdir build
cd build
mkdir puredata_include
curl -L https://raw.githubusercontent.com/pure-data/pure-data/master/src/m_pd.h -o puredata_include/m_pd.h
export CC=$(brew --prefix llvm)/bin/clang
export CXX=$(brew --prefix llvm)/bin/clang++
cd build
cmake ../src -G "Visual Studio 17 2022" -DTorch_DIR=../libtorch/share/cmake/Torch -DPUREDATA_INCLUDE_DIR=../pd/src -DPUREDATA_BIN_DIR=../pd/bin -A x64
cmake --build . --config Release
```
You can remove `-DPUREDATA_INCLUDE_DIR=../puredata_include` to compile only for Max. The Max package is produced in `src/`, and Pd external in `build/frontend/puredata/Release`.
## Raspberry Pi
**not availble in v1.6.0, planned in next version ; please take previous versions if needed**
While nn~ can be compiled and used on Raspberry Pi, you may have to consider using lighter deep learning models. We currently only support 64bit OS.
Install nn~ for PureData using
```bash
curl -s https://raw.githubusercontent.com/acids-ircam/nn_tilde/master/install/raspberrypi.sh | bash
```
# Funding
This work is led at IRCAM, and has been funded by the following projects
* [ANR MakiMono](https://acids.ircam.fr/course/makimono/)
* [ACTOR](https://www.actorproject.org/)
* [DAFNE+](https://dafneplus.eu/) N° 101061548
<img src="https://ec.europa.eu/regional_policy/images/information-sources/logo-download-center/eu_co_funded_en.jpg" width=200px/>
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================================================
FILE: extras/generate_test_model.py
================================================
from typing import List, Tuple
import torch
import torch.nn as nn
import nn_tilde
class AudioUtils(nn_tilde.Module):
def __init__(self):
super().__init__()
# REGISTER ATTRIBUTES
self.register_attribute('gain_factor', 1.)
self.register_attribute('polynomial_factors', (1., 0., 0., 0.))
self.register_attribute('saturate_mode', 'tanh')
self.register_attribute('invert_signal', False)
self.register_attribute('fractal', (2, 0.))
# REGISTER METHODS
self.register_method(
'thru',
in_channels=1,
in_ratio=1,
out_channels=1,
out_ratio=1,
input_labels=['(signal) input signal'],
output_labels=['(signal) output signal'],
)
self.register_method(
'invert',
in_channels=1,
in_ratio=1,
out_channels=1,
out_ratio=1,
input_labels=['(signal) input signal'],
output_labels=['(signal) output signal'],
)
self.register_method(
'add',
in_channels=2,
in_ratio=1,
out_channels=1,
out_ratio=1,
input_labels=['(signal) first signal', '(signal) second signal'],
output_labels=['(signal) output signal'],
)
self.register_method(
'saturate',
in_channels=1,
in_ratio=1,
out_channels=1,
out_ratio=1,
input_labels=['(signal) signal to saturate'],
output_labels=['(signal) saturated signal'],
)
self.register_method(
'midside',
in_channels=2,
in_ratio=1,
out_channels=2,
out_ratio=1,
input_labels=['(signal) L channel', '(signal) R channel'],
output_labels=['(signal) Mid channel', '(signal) Side channel'],
)
self.register_method(
'rms',
in_channels=1,
in_ratio=1,
out_channels=1,
out_ratio=1024,
input_labels=['(signal) signal to monitor'],
output_labels=['(signal) rms value'],
)
self.register_method(
'polynomial',
in_channels=1,
in_ratio=1,
out_channels=1,
out_ratio=1,
input_labels=['(signal) signal to distort'],
output_labels=['(signal) distorted signal'],
)
self.register_method(
'fractalize',
in_channels=1,
in_ratio=512,
out_channels=1,
out_ratio=512,
input_labels=['(signal) signal to replicate'],
output_labels=['(signal) fractalized signal'],
)
@torch.jit.export
def thru(self, x: torch.Tensor):
return x
# defining main methods
@torch.jit.export
def invert(self, x: torch.Tensor):
if self.invert_signal[0]:
return x
else:
return -x
@torch.jit.export
def add(self, x: torch.Tensor):
return x.sum(-2, keepdim=True) / 2
@torch.jit.export
def fractalize(self, x: torch.Tensor):
fractal_order = int(self.fractal[0])
fractal_amount = float(self.fractal[1])
downsampled_signal = x[..., ::fractal_order]
return x
@torch.jit.export
def polynomial(self, x: torch.Tensor):
out = torch.zeros_like(x)
for i in range(4):
out += self.polynomial_factors[i] * x.pow(i + 1)
return out
@torch.jit.export
def saturate(self, x: torch.Tensor):
saturate_mode = self.saturate_mode[0]
if saturate_mode == 'tanh':
return torch.tanh(x * self.gain_factor[0])
elif saturate_mode == 'clip':
return torch.clamp(x * self.gain_factor[0], -1, 1)
@torch.jit.export
def midside(self, x: torch.Tensor):
l, r = x[..., 0, :], x[..., 1, :]
return torch.stack([(l + r) / 2, (l - r) / 2], dim=-2)
@torch.jit.export
def rms(self, x: torch.Tensor):
x = x.reshape(x.shape[0], x.shape[1], 1024, -1)
rms = x.pow(2).sum(-2).sqrt() / x.size(-1)
return rms
# defining attribute getters
# WARNING : typing the function's ouptut is mandatory
@torch.jit.export
def get_gain_factor(self) -> float:
return float(self.gain_factor[0])
@torch.jit.export
def get_polynomial_factors(self) -> List[float]:
polynomial_factors: List[float] = []
for p in self.polynomial_factors:
polynomial_factors.append(float(p))
return polynomial_factors
@torch.jit.export
def get_saturate_mode(self) -> str:
return self.saturate_mode[0]
@torch.jit.export
def get_invert_signal(self) -> bool:
return self.invert_signal[0]
@torch.jit.export
def get_fractal(self) -> Tuple[int, float]:
return (int(self.fractal[0]), float(self.fractal[1]))
# defining attribute setter
# setters must return an error code :
# return 0 if the attribute has been adequately set,
# return -1 if the attribute was wrong.
@torch.jit.export
def set_gain_factor(self, x: float) -> int:
self.gain_factor = (x, )
return 0
@torch.jit.export
def set_polynomial_factors(self, factor1: float, factor2: float,
factor3: float, factor4: float) -> int:
factors = (factor1, factor2, factor3, factor4)
self.polynomial_factors = factors
return 0
@torch.jit.export
def set_saturate_mode(self, x: str):
if (x == 'tanh') or (x == 'clip'):
self.saturate_mode = (x, )
return 0
else:
return -1
@torch.jit.export
def set_invert_signal(self, x: bool):
self.invert_signal = (x, )
return 0
@torch.jit.export
def set_fractal(self, factor: int, amount: float):
if factor <= 0:
return -1
elif factor % 2 != 0:
return -1
self.fractal = (factor, float(amount))
return 0
if __name__ == '__main__':
model = AudioUtils()
model.export_to_ts('multieffect.ts')
================================================
FILE: install/dylib_fix.py
================================================
import argparse
import fnmatch
import tqdm
import re
import subprocess
import stat
import sys, os
from pathlib import Path
parser = argparse.ArgumentParser()
parser.add_argument('-p', '--path', type=Path, required=True)
parser.add_argument('-l', '--lib_paths', nargs="*")
parser.add_argument('-o', '--out_dir', type=Path, default=None, help="optional directory for copying dylibs")
parser.add_argument('--safe', action="store_true", help="safe mode")
parser.add_argument('--sign_id', type=str, default="-", help="codesign sign")
parser.add_argument('--noclean_rpath', action="store_true", help="does not clean rpath")
parser.add_argument('--verbose', action="store_true", help="verbose output")
args = parser.parse_args()
DEFAULT_EXCLUDE_PATHS_SOLVE = ['/System/Library/Frameworks', '@executable_path', '/usr/lib']
DEFAULT_EXCLUDE_LIBS = [r'libc\+\+.*', r'libSystem\.B\.*', r'libobjc\.A\.*']
def is_executable(file_path):
# Check if the file exists and is a regular file
if not os.path.isfile(file_path):
return False
try:
result = subprocess.run(
['file', '--brief', file_path],
stdout=subprocess.PIPE,
stderr=subprocess.PIPE,
text=True,
check=True
)
output = result.stdout.strip()
# Check if the file is considered a Mach-O dynamically linked shared library or executable
if 'Mach-O' in output and ('executable' in output or 'dynamically linked shared library' in output or 'bundle' in output):
return True
except subprocess.CalledProcessError:
pass
return False
def extract_rpaths(executable_path, replace_dynamic_paths = True):
# Run otool to get load commands
try:
result = subprocess.run(['otool', '-l', executable_path],
check=True,
text=True,
capture_output=True)
output = result.stdout
# Regex pattern to capture RPATH entries
rpath_pattern = re.compile(r'LC_RPATH.*?\n.*?path (.*?) \(offset', re.S)
# Find all RPATH entries
rpaths = rpath_pattern.findall(output)
if replace_dynamic_paths:
for i, r in enumerate(rpaths):
rpaths[i] = re.sub("@loader_path", str(executable_path.parent), r)
for i, r in enumerate(rpaths):
if r.startswith("@loader_path") or r.startswith("@loader_path") or r.startswith("@executable_path"):
continue
rpaths[i] = Path(r)
return rpaths
except subprocess.CalledProcessError as e:
print(f"An error occurred: {e}")
return []
def get_library_name(libname):
return os.path.splitext(os.path.basename(libname))[0].split('.')[0]
def get_dependencies(filepath, dir_filter=[], lib_filter=[], rpath=None):
if not os.path.exists(filepath): return None
rpath = rpath or extract_rpaths(filepath)
try:
result = subprocess.run(['otool', '-L', filepath],
check=True,
text=True,
capture_output=True)
# Return the output
except subprocess.CalledProcessError as e:
return f"An error occurred: {e}"
result_lines = result.stdout.split('\n')
deps = {}
for r in result_lines:
result_parsed = re.match(r"\s*(.+)\s+\((.+)\)$", r)
if result_parsed is None:
continue
outs = result_parsed.groups()
path = outs[0]
dep_name = path.split('/')[-1]
original_path = str(path)
for rp in rpath:
path_tmp = Path(str(path).replace('@rpath', str(rp)))
if os.path.exists(path_tmp):
path = path_tmp
break
if True in [Path(path).is_relative_to(r) for r in dir_filter]: continue
if True in [re.search(f, str(path)) is not None for f in lib_filter]: continue
deps[get_library_name(dep_name)] = {'path': path, 'version': outs[1], 'origin': filepath, 'linked': original_path}
return deps
def get_architectures(file_path):
try:
result = subprocess.run(
['file', file_path],
stdout=subprocess.PIPE,
stderr=subprocess.PIPE,
text=True,
check=True
)
output = result.stdout.strip()
return output.split(" ")[-1]
except subprocess.CalledProcessError as e:
return f"Error: {e.stderr.strip()}"
def get_find_results(directory, pattern):
try:
# Run the find command
command = ['find', directory, '-name', pattern]
print(" ".join(command))
result = subprocess.run(command,
check=True,
text=True,
capture_output=True)
file_list = result.stdout.strip().split('\n')
file_list = [f for f in file_list if f]
return file_list
except subprocess.CalledProcessError as e:
return []
def find_candidates_for(lib_name, lib_dir, lib_arch, allow_different_arch: bool = True):
lib_name, lib_ext = os.path.splitext(lib_name)
lib_name_parts = lib_name.split('.')
candidates = []
for l in lib_dir:
print('parsing %s'%lib_name_parts)
for i in reversed(range(1, len(lib_name_parts)+1)):
results = get_find_results(l, ".".join(lib_name_parts[:i]) + "*" + lib_ext)
if len(results) > 0:
break
candidates.extend(results)
print("candidates before filtering : ", candidates)
if len(candidates) == 0:
return []
candidates_filt_arch = list(filter(lambda x: get_architectures(x) == lib_arch, candidates))
if len(candidates_filt_arch) == 0:
print('[Warning] Candidates found for %s, but with wrong architecture'%lib_name)
if not allow_different_arch:
return []
else:
candidates = candidates_filt_arch
print(candidates)
for i, c in enumerate(candidates):
while os.path.islink(c):
c = os.readlink(os.path.abspath(c))
if not os.path.isabs(c):
c = os.path.join(os.path.dirname(candidates[i]), c)
candidates[i] = c
return list(set(candidates))
def find_most_relevant_dylib_candidate(name, candidates, accept_weak_matching=False):
name_ext = os.path.splitext(name)[1][1:]
re_result = re.match(rf"^([\d\w_]+)\.?([\d\.]*)\.{name_ext}$", name)
if re_result is None:
print(f'[Warning] Could not parse name {name} for dynamic lib retrieving ; taking first : {candidates[0]}')
return candidates[0]
lib_name, lib_version = re_result.groups()
matching_name_and_version = []
matching_name = []
matching = []
for c in candidates:
c_name = os.path.basename(c)
re_result = re.match(rf"^([\d\w_]+)\.?([\d\.]*)\.{name_ext}$", c_name)
if re_result is not None:
c_name, c_version = re_result.groups()
if lib_name == c_name and c_version.startswith(lib_version):
matching_name_and_version.append(c)
elif lib_name == c_name:
matching_name.append(c)
else:
matching.append(c)
if len(matching_name_and_version) > 0:
return matching_name_and_version[0]
elif len(matching_name) > 0:
print(f'[Warning] Could only find candidate with different version : {matching_name[0]}')
return matching_name[0]
else:
if accept_weak_matching:
print(f'[Warning] Could only find weakly matching library : {matching[0]}')
return matching[0]
else:
return None
def clean_rpath_for_target_executable(lib_path):
actions = []
rpaths = extract_rpaths(lib_path, replace_dynamic_paths=False)
for p in rpaths:
if not str(p).startswith('@loader_path'): actions.append(['-delete_rpath', p, lib_path])
return actions
def most_relevant_lib(lib_name, path_dicts, dep_paths=[], arch="arm64"):
path_list = [Path(p['path']) for p in path_dicts]
path_filtered_list = []
for p in path_list:
print('looking in %s...'%p)
while os.path.islink(p):
p = Path(p.parent / os.readlink(p)).resolve().absolute()
if not p.exists(): continue
if not is_executable(p): continue
path_filtered_list.append(p)
path_list = list(set(path_filtered_list))
path_list = filter(lambda x: x.exists(), path_list)
path_list = filter(lambda x: is_executable(x), path_list)
path_list = list(path_list)
if len(path_list) == 0:
# not found; look for candidate
candidates = find_candidates_for(f"{lib_name}.dylib", dep_paths, arch)
candidate = find_most_relevant_dylib_candidate(f"{lib_name}.dylib", candidates)
if candidate is None:
raise RuntimeError('no valid library found for %s in %s (candidates : %s)'%(lib_name, dep_paths, candidates))
return candidate
# find in priority the librairies given in arguments
for libdir in map(Path, dep_paths):
for path in path_list:
if path.is_relative_to(libdir): return path
return path_list[0]
def lib_from_exc_path(exc_path, lib_path):
exc_parts = exc_path.parts
lib_parts = lib_path.parts
assert exc_parts[0] == lib_parts[0], "files do not have a single common root"
i = 0
while exc_parts[i] == lib_parts[i]:
i+=1
return os.path.join(*([".."] * (len(exc_parts[i:])-1) + list(lib_parts[i:])))
def parse_actions_from_executable(exec_path, dep_paths=[], main_dir = None, verbose=False):
if not os.path.exists(exec_path):
raise FileNotFoundError(exec_path)
if verbose: print(f'parsing {str(exec_path)}...')
libs_deps = {}
libs_paths = {}
libs_analysed = []
libs_to_analyse = [exec_path]
libs_hash = {}
libs_hash_linked = {}
arch = get_architectures(exec_path)
# analyse dependencies
while len(libs_to_analyse) != 0:
if verbose: print('anlysing librairies %s'%libs_to_analyse)
parsed_deps = []
# fetch dependencies
for current_lib in libs_to_analyse:
if verbose: print('fetching dependencies from %s'%(current_lib))
lib_deps = get_dependencies(current_lib, dir_filter=DEFAULT_EXCLUDE_PATHS_SOLVE, lib_filter=DEFAULT_EXCLUDE_LIBS)
for dep_name, dep_params in lib_deps.items():
parsed_deps.append(dep_name)
libs_deps[dep_name] = libs_deps.get(dep_name, []) + [dep_params]
libs_hash[get_library_name(dep_params['path'])] = libs_hash.get(get_library_name(dep_params['path']), []) + [dep_params['origin']]
libs_hash_linked[get_library_name(dep_params['path'])] = libs_hash_linked.get(get_library_name(dep_params['path']), []) + [dep_params['linked']]
del libs_to_analyse[libs_to_analyse.index(current_lib)]
libs_analysed.append(get_library_name(current_lib))
# parse dependencies
for p in parsed_deps:
if verbose: print('fetching paths for %s'%p)
if p not in libs_paths:
lib_path = most_relevant_lib(p, libs_deps[p], dep_paths, arch)
print('found lib : %s'%lib_path)
libs_paths[p] = Path(lib_path)
if p not in libs_analysed:
print('adding %s for parsing'%p)
libs_to_analyse.append(libs_paths[p])
actions = []
exec_dir = exec_path.parent
os.makedirs(str(main_dir.resolve()), exist_ok=True)
for k, v in libs_paths.items():
if not (main_dir / v.name).resolve().exists():
actions.append(['copy', str(v), str(main_dir)])
for k, v in libs_hash.items():
for i, v_tmp in enumerate(v):
# if str(libs_hash_linked[k][i]).startswith('@rpath'):
# continue
if get_library_name(libs_hash_linked[k][i]) == get_library_name(v_tmp.name):
if v_tmp.stem == exec_path.stem:
actions.append(['-id', f"@loader_path/{v_tmp.name}", str(exec_dir / v_tmp.name)])
else:
actions.append(['-id', f"@loader_path/{v_tmp.name}", str(main_dir / v_tmp.name)])
else:
current_dep = str(libs_hash_linked[k][i])
# new_dep = f"@loader_path/{libs_paths[get_library_name(current_dep)].name}"
if v_tmp.stem == exec_path.stem:
new_dep = f"@loader_path/{lib_from_exc_path(exec_path, main_dir / libs_paths[get_library_name(current_dep)].name)}"
actions.append(['-change', current_dep, new_dep, str(exec_dir / v_tmp.name)])
else:
new_dep = f"@loader_path/{libs_paths[get_library_name(current_dep)].name}"
actions.append(['-change', current_dep, new_dep, str(main_dir / v_tmp.name)])
return actions
def perform_action(action, main_dir):
try:
if action[0] == "-change":
# Run the find command
result = subprocess.run(['install_name_tool',
'-change',
action[1],
action[2],
action[3]],
check=True,
text=True,
capture_output=False)
return
elif action[0] == "-id":
target_path = str(main_dir / os.path.split(action[1])[-1])
result = subprocess.run(['install_name_tool',
'-id',
action[1],
target_path],
check=True,
text=True,
capture_output=False)
elif action[0] == "copy":
target_path = main_dir / os.path.split(action[1])[-1]
if not target_path.exists():
result = subprocess.run(['cp',
action[1],
str(target_path)],
check=True,
text=True,
capture_output=False)
elif action[0] == "-delete_rpath":
target_path = str(main_dir / os.path.split(action[2])[-1])
result = subprocess.run(['install_name_tool',
'-delete_rpath',
action[1],
target_path],
check=True,
text=True,
capture_output=False)
elif action[0] == "-add_rpath":
target_path = str(main_dir / os.path.split(action[2])[-1])
result = subprocess.run(['install_name_tool',
'-add_rpath',
action[1],
target_path],
check=True,
text=True,
capture_outpu=False)
elif action[0] == "clean_rpath":
rpaths = extract_rpaths(str(main_dir / action[1]), replace_dynamic_paths=False)
for r in rpaths:
try:
subprocess.run(['install_name_tool', '-delete_rpath', str(r), str(action[1])])
except subprocess.SubprocessError as e:
print("problem with clean_rpath : %s"%e)
pass
else:
print('[Warning] not known action : %s'%action)
except subprocess.CalledProcessError as e:
raise e
def print_action(idx, action):
if action[0] == "copy":
print(f'{idx:02d} cp {"|".join(action[1:])} -> @rpath')
elif action[0] == "-change":
print(f"{idx:02d} -change: {os.path.basename(action[3])}: {action[1]}->{action[2]}")
elif action[0] == "-id":
print(f"{idx:02d} -id: {os.path.basename(action[1])}")
elif action[0] == "-delete_rpath":
print(f"{idx:02d} -delete_rpath: {action[1]} -> {action[2]}")
elif action[0] == "clean_rpath":
print(f"{idx:02d} clean_rpath: {action[1]}")
else:
print(idx, action)
if __name__ == "__main__":
exec_path = Path(args.path)
main_dir = args.out_dir or args.path.parent
actions = parse_actions_from_executable(exec_path, args.lib_paths, main_dir, args.verbose)
if args.safe:
for i, a in enumerate(actions):
print_action(i, a)
print('continue?')
answ = ""
while answ.lower() not in ['y', 'n']:
answ = input('[y/n] : ')
if answ.lower() == "n": raise SystemExit("raised by user")
os.makedirs(str(main_dir.resolve()), exist_ok=True)
for a in tqdm.tqdm(actions):
perform_action(a, main_dir = main_dir)
if not args.noclean_rpath:
for m in [os.path.join(main_dir, m) for m in os.listdir(main_dir)] + [args.path]:
if is_executable(m):
perform_action(['clean_rpath', m], main_dir)
if args.sign_id == "": args.sign_id = "-"
for m in [os.path.join(main_dir, m) for m in os.listdir(main_dir)] + [args.path]:
try:
subprocess.run(['chmod', '+x', m])
subprocess.run(['codesign', '--deep', '--force', '--options=runtime', '--sign', args.sign_id, m])
subprocess.run(["xattr", "-r", "-d", "com.apple.quarantine", m])
except subprocess.CalledProcessError as e:
print(f'Could not chmod / codesign file {m} ; codesign needed')
================================================
FILE: install/macos_max_makeub.sh
================================================
TARGET_DIR=$1
if [ -z $TARGET_DIR ]; then
TARGET_DIR="nn_tilde"
fi
echo "${TARGET_DIR}"
if [[ ! -d "${TARGET_DIR}_arm64" ]]; then
echo "[Error] folder ${TARGET_DIR}_arm64 not found"
exit
fi
if [[ ! -d "${TARGET_DIR}_x64" ]]; then
echo "[Error] folder ${TARGET_DIR}_arm64 not found"
exit
fi
if [[ ! -d "${TARGET_DIR}" ]]; then
cp -r ${TARGET_DIR}_arm64 ${TARGET_DIR}
fi
for i in $(find ${TARGET_DIR}_x64/externals/*/Contents/MacOS -type f -perm -111)
do
echo "UBing file $i..."
lipo -create "${TARGET_DIR}_arm64/externals/$(basename $i).mxo/Contents/MacOS/$(basename $i)" "${TARGET_DIR}_x64/externals/$(basename $i).mxo/Contents/MacOS/$(basename $i)" -output "${TARGET_DIR}/externals/$(basename $i).mxo/Contents/MacOS/$(basename $i)"
done
for i in $(find ${TARGET_DIR}_x64/support/*.dylib)
do
arch1=""
arch2=""
if [[ ! -f "${TARGET_DIR}_x64/support/$(basename $i)" || ! -f "${TARGET_DIR}_arm64/support/$(basename $i)" ]]
then
echo "skipping $i"
continue
fi
is_ub=$(file "${TARGET_DIR}_x64/support/$(basename $i)" | grep -Eo '2 architectures')
if [[ -n "$is_ub" ]]; then
echo "$i / universal binary; skipping"
continue
fi
arch1=$(file -b "${TARGET_DIR}_x64/support/$(basename $i)" | grep -Eo 'x86_64|arm64')
arch2=$(file -b "${TARGET_DIR}_arm64/support/$(basename $i)" | grep -Eo 'x86_64|arm64')
if [[ -z "$arch1" || -z "$arch2" ]]; then
echo "skipping $i"
continue
fi
if [[ ! "$arch1" == "$arch2" ]]; then
echo "$i / arch1 : $arch1; arch2 : $arch2"
lipo -create "${TARGET_DIR}_arm64/support/$(basename $i)" "${TARGET_DIR}_x64/support/$(basename $i)" -output "${TARGET_DIR}/support/$(basename $i)"
fi
done
================================================
FILE: install/macos_pd_makeub.sh
================================================
TARGET_DIR=$1
if [ -z $TARGET_DIR ]; then
TARGET_DIR="nn_tilde"
fi
echo "${TARGET_DIR}"
if [[ ! -d "${TARGET_DIR}_arm64" ]]; then
echo "[Error] folder ${TARGET_DIR}_arm64 not found"
exit
fi
if [[ ! -d "${TARGET_DIR}_x64" ]]; then
echo "[Error] folder ${TARGET_DIR}_arm64 not found"
exit
fi
if [[ ! -d "${TARGET_DIR}" ]]; then
cp -r ${TARGET_DIR}_arm64 ${TARGET_DIR}
fi
lipo -create "${TARGET_DIR}_arm64/nn~.pd_darwin" "${TARGET_DIR}_x64/nn~.pd_darwin" -output "${TARGET_DIR}/nn~.pd_darwin"
for i in $(find ${TARGET_DIR}_x64/*.dylib)
do
arch1=""
arch2=""
if [[ ! -f "${TARGET_DIR}_x64$(basename $i)" || ! -f "${TARGET_DIR}_arm64/$(basename $i)" ]]
then
echo "skipping $i"
continue
fi
is_ub=$(file "${TARGET_DIR}_x64/$(basename $i)" | grep -Eo '2 architectures')
if [[ -n "$is_ub" ]]; then
echo "$i / universal binary; skipping"
continue
fi
arch1=$(file -b "${TARGET_DIR}_x64/$(basename $i)" | grep -Eo 'x86_64|arm64')
arch2=$(file -b "${TARGET_DIR}_arm64/$(basename $i)" | grep -Eo 'x86_64|arm64')
if [[ -z "$arch1" || -z "$arch2" ]]; then
echo "skipping $i"
continue
fi
if [[ ! "$arch1" == "$arch2" ]]; then
echo "$i / arch1 : $arch1; arch2 : $arch2"
lipo -create "${TARGET_DIR}_arm64/$(basename $i)" "${TARGET_DIR}_x64/$(basename $i)" -output "${TARGET_DIR}/$(basename $i)"
fi
done
================================================
FILE: install/max-linker-flags.txt
================================================
'-Wl,-U,_addbang' '-Wl,-U,_addfloat' '-Wl,-U,_addftx' '-Wl,-U,_addint' '-Wl,-U,_addinx' '-Wl,-U,_addmess' '-Wl,-U,_advise' '-Wl,-U,_advise_explain' '-Wl,-U,_alias' '-Wl,-U,_AnyKeyDown' '-Wl,-U,_appbuilder_keyword' '-Wl,-U,_appbuilder_register' '-Wl,-U,_argpad' '-Wl,-U,_assist_string' '-Wl,-U,_asyncfile_callback_free' '-Wl,-U,_asyncfile_callback_new' '-Wl,-U,_asyncfile_close' '-Wl,-U,_asyncfile_create' '-Wl,-U,_asyncfile_geteof' '-Wl,-U,_asyncfile_makerequest' '-Wl,-U,_asyncfile_object_method' '-Wl,-U,_asyncfile_params_default' '-Wl,-U,_asyncfile_params_free' '-Wl,-U,_asyncfile_params_new' '-Wl,-U,_asyncfile_read' '-Wl,-U,_asyncfile_seteof' '-Wl,-U,_asyncfile_write' '-Wl,-U,_atom_alloc' '-Wl,-U,_atom_alloc_array' '-Wl,-U,_atom_arg_getdouble' '-Wl,-U,_atom_arg_getfloat' '-Wl,-U,_atom_arg_getlong' '-Wl,-U,_atom_arg_getsym' '-Wl,-U,_atom_dynamic_end' '-Wl,-U,_atom_dynamic_start' '-Wl,-U,_atom_equal' '-Wl,-U,_atom_getatom_array' '-Wl,-U,_atom_getchar_array' '-Wl,-U,_atom_getcharfix' '-Wl,-U,_atom_getdouble_array' '-Wl,-U,_atom_getfloat' '-Wl,-U,_atom_getfloat_array' '-Wl,-U,_atom_getformat' '-Wl,-U,_atom_getlong' '-Wl,-U,_atom_getlong_array' '-Wl,-U,_atom_getobj' '-Wl,-U,_atom_getobj_array' '-Wl,-U,_atom_getsym' '-Wl,-U,_atom_getsym_array' '-Wl,-U,_atom_gettext' '-Wl,-U,_atom_gettext_precision' '-Wl,-U,_atom_gettype' '-Wl,-U,_atom_setatom_array' '-Wl,-U,_atom_setattrval' '-Wl,-U,_atom_setbinbuf' '-Wl,-U,_atom_setchar_array' '-Wl,-U,_atom_setdouble_array' '-Wl,-U,_atom_setfloat' '-Wl,-U,_atom_setfloat_array' '-Wl,-U,_atom_setformat' '-Wl,-U,_atom_setlong' '-Wl,-U,_atom_setlong_array' '-Wl,-U,_atom_setobj' '-Wl,-U,_atom_setobj_array' '-Wl,-U,_atom_setobjval' '-Wl,-U,_atom_setparse' '-Wl,-U,_atom_setsym' '-Wl,-U,_atom_setsym_array' '-Wl,-U,_atom_string' '-Wl,-U,_atombuf_append' '-Wl,-U,_atombuf_count' '-Wl,-U,_atombuf_eval' '-Wl,-U,_atombuf_firstatom' '-Wl,-U,_atombuf_free' '-Wl,-U,_atombuf_misc' '-Wl,-U,_atombuf_new' '-Wl,-U,_atombuf_next' '-Wl,-U,_atombuf_prepend' '-Wl,-U,_atombuf_replace' '-Wl,-U,_atombuf_replacepoundargs' '-Wl,-U,_atombuf_save' '-Wl,-U,_atombuf_set' '-Wl,-U,_atombuf_subst' '-Wl,-U,_atombuf_text' '-Wl,-U,_atombuf_totext' '-Wl,-U,_atomisatomarray' '-Wl,-U,_atomisdictionary' '-Wl,-U,_atomisstring' '-Wl,-U,_atoms_totext' '-Wl,-U,_attr_addfilter_clip' '-Wl,-U,_attr_addfilter_clip_scale' '-Wl,-U,_attr_addfilterget_clip' '-Wl,-U,_attr_addfilterget_clip_scale' '-Wl,-U,_attr_addfilterget_proc' '-Wl,-U,_attr_addfilterset_clip' '-Wl,-U,_attr_addfilterset_clip_scale' '-Wl,-U,_attr_addfilterset_proc' '-Wl,-U,_attr_args_dictionary' '-Wl,-U,_attr_args_offset' '-Wl,-U,_attr_args_process' '-Wl,-U,_attr_args_process_flags' '-Wl,-U,_attr_dictionary_process' '-Wl,-U,_attr_dictionary_check' '-Wl,-U,_attr_filter_clip_new' '-Wl,-U,_attr_filter_proc_new' '-Wl,-U,_attr_offset_array_new' '-Wl,-U,_attr_offset_new' '-Wl,-U,_attr_typedfun_set' '-Wl,-U,_attribute_new' '-Wl,-U,_attribute_new_sym' '-Wl,-U,_attribute_new_long' '-Wl,-U,_attribute_new_float' '-Wl,-U,_attribute_new_obj' '-Wl,-U,_attribute_new_atoms' '-Wl,-U,_attribute_new_attrval' '-Wl,-U,_attribute_new_binbuf' '-Wl,-U,_attribute_new_format' '-Wl,-U,_attribute_new_objval' '-Wl,-U,_attribute_new_parse' '-Wl,-U,_auxtable_checksym' '-Wl,-U,_bangout' '-Wl,-U,_bf_singlefast' '-Wl,-U,_binbuf_addtext' '-Wl,-U,_binbuf_append' '-Wl,-U,_binbuf_delete' '-Wl,-U,_binbuf_eval' '-Wl,-U,_binbuf_getatom' '-Wl,-U,_binbuf_gethandle' '-Wl,-U,_binbuf_insert' '-Wl,-U,_binbuf_inshandle' '-Wl,-U,_binbuf_make' '-Wl,-U,_binbuf_new' '-Wl,-U,_binbuf_read' '-Wl,-U,_binbuf_set' '-Wl,-U,_binbuf_text' '-Wl,-U,_binbuf_totext' '-Wl,-U,_binbuf_vinsert' '-Wl,-U,_binbuf_write' '-Wl,-U,_bitwrap_bell_filter' '-Wl,-U,_bitwrap_box_filter' '-Wl,-U,_bitwrap_bspline_filter' '-Wl,-U,_bitwrap_filter_default' '-Wl,-U,_bitwrap_filter_filter' '-Wl,-U,_bitwrap_interp' '-Wl,-U,_bitwrap_lanczos3_filter' '-Wl,-U,_bitwrap_mitchell_filter' '-Wl,-U,_bitwrap_triangle_filter' '-Wl,-U,_bitwrap_wrap_gworld' '-Wl,-U,_box_getcolor' '-Wl,-U,_boxcolor_rgb2index' '-Wl,-U,_call_method_attrval' '-Wl,-U,_call_method_binbuf' '-Wl,-U,_call_method_char' '-Wl,-U,_call_method_char_array' '-Wl,-U,_call_method_double' '-Wl,-U,_call_method_double_array' '-Wl,-U,_call_method_float' '-Wl,-U,_call_method_float_array' '-Wl,-U,_call_method_format' '-Wl,-U,_call_method_long' '-Wl,-U,_call_method_long_array' '-Wl,-U,_call_method_obj' '-Wl,-U,_call_method_obj_array' '-Wl,-U,_call_method_objval' '-Wl,-U,_call_method_parse' '-Wl,-U,_call_method_sym' '-Wl,-U,_call_method_sym_array' '-Wl,-U,_call_method_typed' '-Wl,-U,_charset_convert' '-Wl,-U,_charset_utf8tounicode' '-Wl,-U,_charset_unicodetoutf8' '-Wl,-U,_charset_isvalidutf8' '-Wl,-U,_charset_utf8_count' '-Wl,-U,_charset_utf8_offset' '-Wl,-U,_charset_isspace' '-Wl,-U,_class_addadornment' '-Wl,-U,_class_addattr' '-Wl,-U,_class_addattr_atoms' '-Wl,-U,_class_addattr_atoms' '-Wl,-U,_class_addattr_format' '-Wl,-U,_class_addattr_format' '-Wl,-U,_class_addattr_parse' '-Wl,-U,_class_addattr_parse' '-Wl,-U,_class_addcommand' '-Wl,-U,_class_addmethod' '-Wl,-U,_class_addtypedwrapper' '-Wl,-U,_class_addtransform' '-Wl,-U,_class_adornment_get' '-Wl,-U,_class_attr_addattr' '-Wl,-U,_class_attr_addattr_atoms' '-Wl,-U,_class_attr_addattr_atoms' '-Wl,-U,_class_attr_addattr_format' '-Wl,-U,_class_attr_addattr_format' '-Wl,-U,_class_attr_addattr_parse' '-Wl,-U,_class_attr_addattr_parse' '-Wl,-U,_class_attr_attr_get' '-Wl,-U,_class_attr_attr_getvalueof' '-Wl,-U,_class_attr_attr_setvalueof' '-Wl,-U,_class_attr_get' '-Wl,-U,_class_attr_method' '-Wl,-U,_class_buildprototype' '-Wl,-U,_class_clonable' '-Wl,-U,_class_cloneprototype' '-Wl,-U,_class_extra_lookup' '-Wl,-U,_class_extra_store' '-Wl,-U,_class_extra_storeflags' '-Wl,-U,_class_findbyname' '-Wl,-U,_class_findbyname_casefree' '-Wl,-U,_class_getifloaded' '-Wl,-U,_class_getifloaded_casefree' '-Wl,-U,_class_free' '-Wl,-U,_class_getmethod_object' '-Wl,-U,_class_getpath' '-Wl,-U,_class_is_ui' '-Wl,-U,_class_is_box' 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'-Wl,-U,_compression_compressjson_headless' '-Wl,-U,_compression_decompressjson_headless' '-Wl,-U,_connection_client' '-Wl,-U,_connection_delete' '-Wl,-U,_connection_send' '-Wl,-U,_connection_server' '-Wl,-U,_CopyFromGWorld' '-Wl,-U,_cpost' '-Wl,-U,_critical_enter' '-Wl,-U,_critical_exit' '-Wl,-U,_critical_free' '-Wl,-U,_critical_new' '-Wl,-U,_critical_tryenter' '-Wl,-U,_crosshatch' '-Wl,-U,_CtrlKeyDown' '-Wl,-U,_CurrentOptionKeysDown' '-Wl,-U,_debug_printf' '-Wl,-U,_defer' '-Wl,-U,_defer_front' '-Wl,-U,_defer_low' '-Wl,-U,_defer_medium' '-Wl,-U,_defer_sys_low' '-Wl,-U,_defvolume' '-Wl,-U,_dialog_setkey' '-Wl,-U,_dictionary_appendatom' '-Wl,-U,_dictionary_appendatom_flags' '-Wl,-U,_dictionary_appendatomarray' '-Wl,-U,_dictionary_appendatoms' '-Wl,-U,_dictionary_appendatoms_flags' '-Wl,-U,_dictionary_appendattribute' '-Wl,-U,_dictionary_appendbinbuf' '-Wl,-U,_dictionary_appenddictionary' '-Wl,-U,_dictionary_appendfloat' '-Wl,-U,_dictionary_appendlong' '-Wl,-U,_dictionary_appendobject' '-Wl,-U,_dictionary_appendobject_flags' '-Wl,-U,_dictionary_appendstring' '-Wl,-U,_dictionary_appendsym' '-Wl,-U,_dictionary_chuckentry' '-Wl,-U,_dictionary_clear' '-Wl,-U,_dictionary_copyatoms' '-Wl,-U,_dictionary_copyatoms_ext' '-Wl,-U,_dictionary_copydefatoms' '-Wl,-U,_dictionary_copyentries' '-Wl,-U,_dictionary_copyunique' '-Wl,-U,_dictionary_deleteentry' '-Wl,-U,_dictionary_dump' '-Wl,-U,_dictionary_entry_getkey' '-Wl,-U,_dictionary_entry_getvalue' '-Wl,-U,_dictionary_entry_getvalues' '-Wl,-U,_dictionary_entryisatomarray' '-Wl,-U,_dictionary_entryisdictionary' '-Wl,-U,_dictionary_entryisstring' '-Wl,-U,_dictionary_freekeys' '-Wl,-U,_dictionary_funall' '-Wl,-U,_dictionary_getatom' '-Wl,-U,_dictionary_getatom_ext' '-Wl,-U,_dictionary_getatomarray' '-Wl,-U,_dictionary_getatoms' '-Wl,-U,_dictionary_getatoms_ext' '-Wl,-U,_dictionary_getattribute' '-Wl,-U,_dictionary_getdefatom' '-Wl,-U,_dictionary_getdefatoms' '-Wl,-U,_dictionary_getdeffloat' '-Wl,-U,_dictionary_getdeflong' '-Wl,-U,_dictionary_getdefstring' '-Wl,-U,_dictionary_getdefsym' '-Wl,-U,_dictionary_getdictionary' '-Wl,-U,_dictionary_getentrycount' '-Wl,-U,_dictionary_getfloat' '-Wl,-U,_dictionary_getkeys' '-Wl,-U,_dictionary_getkeys_ordered' '-Wl,-U,_dictionary_getlong' '-Wl,-U,_dictionary_getobject' '-Wl,-U,_dictionary_getobject_ext' '-Wl,-U,_dictionary_getstring' '-Wl,-U,_dictionary_getsym' '-Wl,-U,_dictionary_get_ex' '-Wl,-U,_dictionary_hasentry' '-Wl,-U,_dictionary_new' '-Wl,-U,_dictionary_prototypefromclass' '-Wl,-U,_dictionary_read' '-Wl,-U,_dictionary_sprintf' '-Wl,-U,_dictionary_write' '-Wl,-U,_dictobj_register' '-Wl,-U,_dictobj_unregister' '-Wl,-U,_dictobj_findregistered_clone' '-Wl,-U,_dictobj_findregistered_retain' '-Wl,-U,_dictobj_release' '-Wl,-U,_dictobj_namefromptr' '-Wl,-U,_dictobj_outlet_atoms' '-Wl,-U,_dictobj_atom_safety' '-Wl,-U,_dictobj_atom_safety_flags' '-Wl,-U,_dictobj_atom_release' '-Wl,-U,_dictobj_validate' '-Wl,-U,_dictobj_jsonfromstring' '-Wl,-U,_dictobj_dictionaryfromstring' '-Wl,-U,_dictobj_dictionaryfromatoms' '-Wl,-U,_dictobj_dictionaryfromatoms_extended' '-Wl,-U,_dictobj_dictionarytoatoms' '-Wl,-U,_dictobj_key_parse' '-Wl,-U,_dictobj_modify' '-Wl,-U,_dictobj_convertatoms' '-Wl,-U,_dictobj_convertatoms2' '-Wl,-U,_dictobj_atomtotype' '-Wl,-U,_dictobj_outlet_atoms_prefix' '-Wl,-U,_dictobj_outlet_atoms_prefix_ext' '-Wl,-U,_arrayobj_register' '-Wl,-U,_arrayobj_unregister' '-Wl,-U,_arrayobj_findregistered_retain' '-Wl,-U,_arrayobj_findregistered_clone' '-Wl,-U,_arrayobj_release' '-Wl,-U,_arrayobj_namefromptr' '-Wl,-U,_stringobj_register' '-Wl,-U,_stringobj_unregister' '-Wl,-U,_stringobj_findregistered_retain' '-Wl,-U,_stringobj_findregistered_clone' '-Wl,-U,_stringobj_release' '-Wl,-U,_stringobj_namefromptr' '-Wl,-U,_disposhandle' '-Wl,-U,_drawstr' '-Wl,-U,_ed_new' '-Wl,-U,_ed_settext' '-Wl,-U,_ed_vis' '-Wl,-U,_egetfn' '-Wl,-U,_error' '-Wl,-U,_error_subscribe' '-Wl,-U,_error_sym' '-Wl,-U,_error_unsubscribe' '-Wl,-U,_errorcount_get' '-Wl,-U,_errorcount_set' '-Wl,-U,_evnum_get' '-Wl,-U,_evnum_incr' '-Wl,-U,_expr_eval' '-Wl,-U,_expr_new' '-Wl,-U,_fileformat_filetype' '-Wl,-U,_fileformat_installsniffer' '-Wl,-U,_fileformat_sniff' '-Wl,-U,_fileformat_sniffdata' '-Wl,-U,_fileformat_stripsuffix' '-Wl,-U,_fileformat_typesuffix' '-Wl,-U,_fileformat_suffixtotype' '-Wl,-U,_fileformat_suffix' '-Wl,-U,_fileformat_divide' '-Wl,-U,_fileformat_cstrtofiletype' '-Wl,-U,_fileformat_symtofiletype' '-Wl,-U,_fileformat_filetypetosym' '-Wl,-U,_fileformat_typetosuffix' '-Wl,-U,_filekind_getfiletypes' '-Wl,-U,_filekind_getname' '-Wl,-U,_filekind_nametoicon' '-Wl,-U,_fileload' '-Wl,-U,_fileload_extended' '-Wl,-U,_fileload_type' '-Wl,-U,_fileusage_addfile' '-Wl,-U,_fileusage_addfilename' '-Wl,-U,_fileusage_addpackage' '-Wl,-U,_fileusage_addpathname' '-Wl,-U,_fileusage_copyfolder' '-Wl,-U,_fileusage_makefolder' '-Wl,-U,_fileusage_addfolder' '-Wl,-U,_filewatcher_new' '-Wl,-U,_filewatcher_start' '-Wl,-U,_filewatcher_stop' '-Wl,-U,_finder_addclass' '-Wl,-U,_floatin' '-Wl,-U,_floatout' '-Wl,-U,_fontinfo_getname' '-Wl,-U,_fontinfo_getnumber' '-Wl,-U,_fontinfo_getsize' '-Wl,-U,_fontmap_getmapping' '-Wl,-U,_force_install' '-Wl,-U,_freebytes' '-Wl,-U,_freeobject' '-Wl,-U,_gensym' '-Wl,-U,_gensym_tr' '-Wl,-U,_getbytes' '-Wl,-U,_getexttime' '-Wl,-U,_getfn' '-Wl,-U,_getfolder' '-Wl,-U,_getschedtime' '-Wl,-U,_gettime' '-Wl,-U,_gettime_forobject' '-Wl,-U,_globalmouse_addlistener' '-Wl,-U,_globalmouse_removelistener' '-Wl,-U,_globalsymbol_reference' '-Wl,-U,_globalsymbol_dereference' '-Wl,-U,_globalsymbol_bind' '-Wl,-U,_globalsymbol_unbind' '-Wl,-U,_globalsymbol_notify' '-Wl,-U,_growhandle' '-Wl,-U,_GWorldFromPict' '-Wl,-U,_handle2tempfile' '-Wl,-U,_hashtab_chuck' '-Wl,-U,_hashtab_chuckkey' '-Wl,-U,_hashtab_clear' '-Wl,-U,_hashtab_delete' '-Wl,-U,_hashtab_findfirst' '-Wl,-U,_hashtab_flags' '-Wl,-U,_hashtab_funall' '-Wl,-U,_hashtab_getflags' '-Wl,-U,_hashtab_getkeyflags' '-Wl,-U,_hashtab_getkeys' '-Wl,-U,_hashtab_getsize' '-Wl,-U,_hashtab_keyflags' '-Wl,-U,_hashtab_lookup' '-Wl,-U,_hashtab_lookupentry' '-Wl,-U,_hashtab_lookupflags' '-Wl,-U,_hashtab_lookuplong' '-Wl,-U,_hashtab_lookupsym' '-Wl,-U,_hashtab_methodall' '-Wl,-U,_hashtab_methodall_imp' '-Wl,-U,_hashtab_new' '-Wl,-U,_hashtab_objfunall' '-Wl,-U,_hashtab_print' '-Wl,-U,_hashtab_readonly' '-Wl,-U,_hashtab_store' '-Wl,-U,_hashtab_store_safe' '-Wl,-U,_hashtab_storeflags' '-Wl,-U,_hashtab_storelong' '-Wl,-U,_hashtab_storesym' '-Wl,-U,_helpstring' '-Wl,-U,_inisr_set' '-Wl,-U,_inlet_append' '-Wl,-U,_inlet_insert_after' '-Wl,-U,_inlet_count' '-Wl,-U,_inlet_new' '-Wl,-U,_inlet_nth' '-Wl,-U,_inlet_to' '-Wl,-U,_inlet4' '-Wl,-U,_inspector_open' '-Wl,-U,_intin' '-Wl,-U,_intload' '-Wl,-U,_intout' '-Wl,-U,_IsKeyDown' '-Wl,-U,_isbpatcher' '-Wl,-U,_isnewex' '-Wl,-U,_ispatcher' '-Wl,-U,_isr' '-Wl,-U,_isr_set' '-Wl,-U,_linklist_append' '-Wl,-U,_linklist_chuck' '-Wl,-U,_linklist_chuckindex' '-Wl,-U,_linklist_chuckptr' '-Wl,-U,_linklist_clear' '-Wl,-U,_linklist_deleteindex' '-Wl,-U,_linklist_findall' '-Wl,-U,_linklist_findfirst' '-Wl,-U,_linklist_flags' '-Wl,-U,_linklist_funall' '-Wl,-U,_linklist_funall_break' '-Wl,-U,_linklist_funindex' '-Wl,-U,_linklist_getflags' '-Wl,-U,_linklist_getindex' '-Wl,-U,_linklist_getsize' '-Wl,-U,_linklist_insert_sorted' '-Wl,-U,_linklist_insertafterobjptr' '-Wl,-U,_linklist_insertbeforeobjptr' '-Wl,-U,_linklist_insertindex' '-Wl,-U,_linklist_last' '-Wl,-U,_linklist_makearray' '-Wl,-U,_linklist_methodall' '-Wl,-U,_linklist_methodall_imp' '-Wl,-U,_linklist_methodindex' '-Wl,-U,_linklist_methodindex_imp' '-Wl,-U,_linklist_moveafterobjptr' '-Wl,-U,_linklist_movebeforeobjptr' '-Wl,-U,_linklist_new' '-Wl,-U,_linklist_next' '-Wl,-U,_linklist_objptr2index' '-Wl,-U,_linklist_prev' '-Wl,-U,_linklist_readonly' '-Wl,-U,_linklist_reverse' '-Wl,-U,_linklist_rotate' '-Wl,-U,_linklist_shuffle' '-Wl,-U,_linklist_sort' '-Wl,-U,_linklist_substitute' '-Wl,-U,_linklist_swap' '-Wl,-U,_linklist_match' '-Wl,-U,_linklist_chuckobject' '-Wl,-U,_linklist_deleteobject' '-Wl,-U,_linklist_prune' '-Wl,-U,_listout' '-Wl,-U,_loadbang_disabled' '-Wl,-U,_loadbang_dequeue' '-Wl,-U,_loadbang_queueobject' '-Wl,-U,_loadbang_resume' '-Wl,-U,_loadbang_suspend' '-Wl,-U,_loader_setpath' '-Wl,-U,_locatefile' '-Wl,-U,_locatefile_extended' '-Wl,-U,_locatefilelist' '-Wl,-U,_locatefiletype' '-Wl,-U,_lockout_set' '-Wl,-U,_lowload_jpatcher_frombuffer' '-Wl,-U,_lowload_jpatcher_frombuffer_withobexprototype' '-Wl,-U,_lowload_jpatcher_fromamxd_data' '-Wl,-U,_loader_loadamxd_tohandle' '-Wl,-U,_maxlogger_log' '-Wl,-U,_maxversion' '-Wl,-U,_max_unicodekeydown' '-Wl,-U,_max_unicodekeyup' '-Wl,-U,_maxcache_getpath' '-Wl,-U,_maxcache_checkfile' '-Wl,-U,_maxcache_usefile' '-Wl,-U,_maxdb_search' '-Wl,-U,_maxdb_search_sprintf' '-Wl,-U,_maxdb_tag' '-Wl,-U,_maxdb_filter' '-Wl,-U,_maxdb_getstate' '-Wl,-U,_maxdb_query' '-Wl,-U,_maxdb_query_direct' '-Wl,-U,_mayquote' '-Wl,-U,_method_false' '-Wl,-U,_method_object_free' '-Wl,-U,_method_object_getmesslist' '-Wl,-U,_method_object_getmethod' '-Wl,-U,_method_object_getname' '-Wl,-U,_method_object_new' '-Wl,-U,_method_object_new_messlist' '-Wl,-U,_method_object_setmesslist' '-Wl,-U,_method_object_setmethod' '-Wl,-U,_method_object_setname' '-Wl,-U,_method_true' '-Wl,-U,_mfl_guiidle' '-Wl,-U,_mfl_idle' '-Wl,-U,_mfl_init' '-Wl,-U,_mfl_exit' '-Wl,-U,_path_mfl_getapppath' '-Wl,-U,_movecursor' '-Wl,-U,_namedpipeconnection_isconnected' '-Wl,-U,_nameinpath' '-Wl,-U,_nameload' '-Wl,-U,_nameload_unique' '-Wl,-U,_nameload_unique_internal' '-Wl,-U,_nametab_filename' '-Wl,-U,_nametab_getmatches' '-Wl,-U,_newex_knows' '-Wl,-U,_newhandle' '-Wl,-U,_newinstance' '-Wl,-U,_newobject' '-Wl,-U,_newobject_fromdictionary' '-Wl,-U,_newobject_fromboxtext' '-Wl,-U,_newobject_sprintf' '-Wl,-U,_noloadbangdisable_get' '-Wl,-U,_noloadbangdisable_set' '-Wl,-U,_notify_free' '-Wl,-U,_nullfn' '-Wl,-U,_object_addattr' '-Wl,-U,_object_addattr_atoms' '-Wl,-U,_object_addattr_atoms' '-Wl,-U,_object_addattr_format' '-Wl,-U,_object_addattr_format' '-Wl,-U,_object_addattr_parse' '-Wl,-U,_object_addattr_parse' '-Wl,-U,_object_addmethod' '-Wl,-U,_object_alloc' '-Wl,-U,_object_attach' '-Wl,-U,_object_attach_byptr' '-Wl,-U,_object_attach_byptr_register' '-Wl,-U,_object_attr_addattr' '-Wl,-U,_object_attr_addattr_atoms' '-Wl,-U,_object_attr_addattr_atoms' '-Wl,-U,_object_attr_addattr_format' '-Wl,-U,_object_attr_addattr_format' '-Wl,-U,_object_attr_addattr_parse' '-Wl,-U,_object_attr_addattr_parse' '-Wl,-U,_object_attr_attr_get' '-Wl,-U,_object_attr_attr_getvalueof' '-Wl,-U,_object_attr_attr_setvalueof' '-Wl,-U,_object_attr_enforcelocal' '-Wl,-U,_object_attr_freeze' '-Wl,-U,_object_attr_get' '-Wl,-U,_object_attr_getchar' '-Wl,-U,_object_attr_getchar_array' '-Wl,-U,_object_attr_getdisabled' '-Wl,-U,_object_attr_getdouble_array' '-Wl,-U,_object_attr_getdump' '-Wl,-U,_object_attr_getfloat' '-Wl,-U,_object_attr_getfloat_array' '-Wl,-U,_object_attr_getinvisible' '-Wl,-U,_object_attr_getlong' '-Wl,-U,_object_attr_getlong_array' '-Wl,-U,_object_attr_getnames' '-Wl,-U,_object_attr_getobj' '-Wl,-U,_object_attr_getsym' '-Wl,-U,_object_attr_getsym_array' '-Wl,-U,_object_attr_getvalueof' '-Wl,-U,_object_attr_method' '-Wl,-U,_object_attr_setattrval' '-Wl,-U,_object_attr_setbinbuf' '-Wl,-U,_object_attr_setchar' '-Wl,-U,_object_attr_setchar_array' '-Wl,-U,_object_attr_setdisabled' '-Wl,-U,_object_attr_setdouble_array' '-Wl,-U,_object_attr_setfloat' '-Wl,-U,_object_attr_setfloat_array' '-Wl,-U,_object_attr_setformat' '-Wl,-U,_object_attr_setinvisible' '-Wl,-U,_object_attr_setlong' '-Wl,-U,_object_attr_setlong_array' '-Wl,-U,_object_attr_setobj' '-Wl,-U,_object_attr_setobjval' '-Wl,-U,_object_attr_setparse' '-Wl,-U,_object_attr_setsym' '-Wl,-U,_object_attr_setsym_array' '-Wl,-U,_object_attr_setvalueof' '-Wl,-U,_object_attr_usercanget' '-Wl,-U,_object_attr_usercanset' '-Wl,-U,_object_attr_getdirty' '-Wl,-U,_object_attrhash_apply' '-Wl,-U,_object_bug' '-Wl,-U,_object_chuckattr' '-Wl,-U,_object_chuckmethod' '-Wl,-U,_object_class' '-Wl,-U,_object_classname' '-Wl,-U,_object_namespace' '-Wl,-U,_class_namespace' '-Wl,-U,_object_classname_compare' '-Wl,-U,_object_clonable' '-Wl,-U,_object_clone' '-Wl,-U,_object_clone_generic' '-Wl,-U,_object_commandenabled' '-Wl,-U,_object_deleteattr' '-Wl,-U,_object_deletemethod' '-Wl,-U,_object_detach' '-Wl,-U,_object_detach_byptr' '-Wl,-U,_object_dictionary_fromnewargs' '-Wl,-U,_object_dictionaryarg' '-Wl,-U,_object_error' '-Wl,-U,_object_error_obtrusive' '-Wl,-U,_jpatcher_error_obtrusive' '-Wl,-U,_object_findregistered' '-Wl,-U,_object_findregisteredbyptr' '-Wl,-U,_object_free' '-Wl,-U,_object_getattrlist' '-Wl,-U,_object_getcommand' '-Wl,-U,_object_getenabler' '-Wl,-U,_object_getmethod' '-Wl,-U,_object_getmethod_object' '-Wl,-U,_object_getftime' '-Wl,-U,_object_getvalueof' '-Wl,-U,_object_getvalueof_ext' '-Wl,-U,_object_handlecommand' '-Wl,-U,_object_inspect' '-Wl,-U,_object_mess' '-Wl,-U,_object_method' '-Wl,-U,_object_method_imp' '-Wl,-U,_object_method_attrval' '-Wl,-U,_object_method_binbuf' '-Wl,-U,_object_method_char' '-Wl,-U,_object_method_char_array' '-Wl,-U,_object_method_double' '-Wl,-U,_object_method_double_array' '-Wl,-U,_object_method_float' '-Wl,-U,_object_method_float_array' '-Wl,-U,_object_method_format' '-Wl,-U,_object_method_long' '-Wl,-U,_object_method_long_array' '-Wl,-U,_object_method_obj' '-Wl,-U,_object_method_obj_array' '-Wl,-U,_object_method_objval' '-Wl,-U,_object_method_parse' '-Wl,-U,_object_method_sym' '-Wl,-U,_object_method_sym_array' '-Wl,-U,_object_method_typed' '-Wl,-U,_object_method_typedfun' '-Wl,-U,_object_new' '-Wl,-U,_object_new_imp' '-Wl,-U,_object_new_attrval' '-Wl,-U,_object_new_binbuf' '-Wl,-U,_object_new_format' '-Wl,-U,_object_new_objval' '-Wl,-U,_object_new_parse' '-Wl,-U,_object_new_typed' '-Wl,-U,_object_notify' '-Wl,-U,_object_obex_dumpout' '-Wl,-U,_object_obex_free' '-Wl,-U,_object_obex_get' '-Wl,-U,_object_obex_lookup' '-Wl,-U,_object_obex_lookuplong' '-Wl,-U,_object_obex_lookupsym' '-Wl,-U,_object_obex_quickref' '-Wl,-U,_object_obex_set' '-Wl,-U,_object_obex_store' '-Wl,-U,_object_obex_storelong' '-Wl,-U,_object_obex_storesym' '-Wl,-U,_object_post' '-Wl,-U,_object_poststring' '-Wl,-U,_object_refpage_get_class_info' '-Wl,-U,_object_refpage_get_class_info_fromclassname' '-Wl,-U,_object_refpage_method_is_undocumented' '-Wl,-U,_object_refpage_method_is_groupreference' '-Wl,-U,_object_register' '-Wl,-U,_object_register_unique' '-Wl,-U,_object_replaceargs' '-Wl,-U,_object_reveal' '-Wl,-U,_object_setvalueof' '-Wl,-U,_object_setvalueof_ext' '-Wl,-U,_object_show' '-Wl,-U,_object_sticky' '-Wl,-U,_object_sticky_clear' '-Wl,-U,_object_subpatcher' '-Wl,-U,_object_unregister' '-Wl,-U,_object_warn' '-Wl,-U,_object_zero' '-Wl,-U,_object_isnogood' '-Wl,-U,_onecopy_fileload' '-Wl,-U,_open_dialog' '-Wl,-U,_open_dialog_filetypelist' '-Wl,-U,_opendialog_pathset' '-Wl,-U,_open_messageset' '-Wl,-U,_open_promptset' '-Wl,-U,_OptionKeyDown' '-Wl,-U,_ouchstring' '-Wl,-U,_outlet_add' '-Wl,-U,_outlet_addmonitor' '-Wl,-U,_outlet_anything' '-Wl,-U,_outlet_append' '-Wl,-U,_outlet_insert_after' '-Wl,-U,_outlet_atoms' '-Wl,-U,_outlet_atoms_ext' '-Wl,-U,_outlet_bang' '-Wl,-U,_outlet_canadd' '-Wl,-U,_outlet_count' '-Wl,-U,_outlet_enable' '-Wl,-U,_outlet_float' '-Wl,-U,_outlet_int' '-Wl,-U,_outlet_list' '-Wl,-U,_outlet_msg' '-Wl,-U,_outlet_new' '-Wl,-U,_outlet_notify' '-Wl,-U,_outlet_nth' '-Wl,-U,_outlet_removemonitor' '-Wl,-U,_outlet_rm' '-Wl,-U,_outlet_array' '-Wl,-U,_outlet_string' '-Wl,-U,_packages_getpackagepath' '-Wl,-U,_packages_createsubpathlist' '-Wl,-U,_packages_getsubpathcontents' '-Wl,-U,_palette_getcolor' '-Wl,-U,_patcher_eachdo' '-Wl,-U,_path_addnamed' '-Wl,-U,_path_addpath' '-Wl,-U,_path_build' '-Wl,-U,_path_closefolder' '-Wl,-U,_path_copyfile' '-Wl,-U,_path_copyfolder' '-Wl,-U,_path_copytotempfile' '-Wl,-U,_path_createfolder' '-Wl,-U,_path_createressysfile' '-Wl,-U,_path_createsysfile' '-Wl,-U,_path_deletefile' '-Wl,-U,_path_tempfolder' '-Wl,-U,_path_desktopfolder' '-Wl,-U,_path_userdocfolder' '-Wl,-U,_path_usermaxfolder' '-Wl,-U,_path_extendedfileinfo' '-Wl,-U,_path_fileinfo' '-Wl,-U,_path_fileisresource' '-Wl,-U,_path_foldernextfile' '-Wl,-U,_path_frompathname' '-Wl,-U,_path_fromunicodepathname' '-Wl,-U,_path_toabsolutesystempath' '-Wl,-U,_path_absolutepath' '-Wl,-U,_path_absolutepath_filetypelist' '-Wl,-U,_path_getapppath' '-Wl,-U,_path_getdefault' '-Wl,-U,_path_getfilecreationdate' '-Wl,-U,_path_getfilemoddate' '-Wl,-U,_path_getmoddate' '-Wl,-U,_path_getname' '-Wl,-U,_path_getnext' '-Wl,-U,_path_getpath' '-Wl,-U,_path_getprefstring' '-Wl,-U,_path_getseparator' '-Wl,-U,_path_getstyle' '-Wl,-U,_path_getsupportpath' '-Wl,-U,_path_infoforopensysfile' '-Wl,-U,_path_movefile' '-Wl,-U,_path_nameconform' '-Wl,-U,_path_nameinpath' '-Wl,-U,_path_nameisrelative' '-Wl,-U,_path_openfolder' '-Wl,-U,_path_openresfile' '-Wl,-U,_path_openressysfile' '-Wl,-U,_path_opensysfile' '-Wl,-U,_path_removefromlist' '-Wl,-U,_path_removepath' '-Wl,-U,_path_renamefile' '-Wl,-U,_path_resolvefile' '-Wl,-U,_path_setdefault' '-Wl,-U,_path_setfileinfo' '-Wl,-U,_path_setpermanent' '-Wl,-U,_path_setprefstring' '-Wl,-U,_path_sysnameinpath' '-Wl,-U,_path_collpathnamefrompath' '-Wl,-U,_path_tempfilename' '-Wl,-U,_path_topathname' '-Wl,-U,_path_topotentialname' '-Wl,-U,_path_topotentialunicodename' '-Wl,-U,_path_frompotentialpathname' '-Wl,-U,_path_splitnames' '-Wl,-U,_path_usermaxfolder' '-Wl,-U,_path_addfiles' '-Wl,-U,_path_addfolders' '-Wl,-U,_path_removefiles' '-Wl,-U,_path_exists' '-Wl,-U,_path_inpath' '-Wl,-U,_plug_free' '-Wl,-U,_plug_init' '-Wl,-U,_plug_setloopfun' '-Wl,-U,_popup_free' '-Wl,-U,_popup_new' '-Wl,-U,_popup_show' '-Wl,-U,_post' '-Wl,-U,_post_displayrecent' '-Wl,-U,_post_getpos' '-Wl,-U,_post_sym' '-Wl,-U,_postatom' '-Wl,-U,_postdictionary' '-Wl,-U,_poststring' '-Wl,-U,_preferences_class_define' '-Wl,-U,_preferences_class_defineoption' '-Wl,-U,_preferences_define' '-Wl,-U,_preferences_defineoption' '-Wl,-U,_preferences_getatomforkey' '-Wl,-U,_preferences_getatoms' '-Wl,-U,_preferences_getchar' '-Wl,-U,_preferences_getlong' '-Wl,-U,_preferences_getsym' '-Wl,-U,_preferences_path' '-Wl,-U,_preferences_readdictionary' '-Wl,-U,_preferences_setatoms' '-Wl,-U,_preferences_setchar' '-Wl,-U,_preferences_setlong' '-Wl,-U,_preferences_setsym' '-Wl,-U,_preferences_subpath' '-Wl,-U,_preferences_writedictionary' '-Wl,-U,_preset_int' '-Wl,-U,_preset_set' '-Wl,-U,_preset_store' '-Wl,-U,_proxy_getinlet' '-Wl,-U,_proxy_new' '-Wl,-U,_qelem_free' '-Wl,-U,_qelem_front' '-Wl,-U,_qelem_idlefree' '-Wl,-U,_qelem_idlefront' '-Wl,-U,_qelem_idleset' '-Wl,-U,_qelem_idleunset' '-Wl,-U,_qelem_new' '-Wl,-U,_qelem_set' '-Wl,-U,_qelem_unset' '-Wl,-U,_qelem_setowner' '-Wl,-U,_quotestring' '-Wl,-U,_versioncmp' '-Wl,-U,_versioncanparse' '-Wl,-U,_qti_extra_flags_get' '-Wl,-U,_qti_extra_flags_set' '-Wl,-U,_qti_extra_free' '-Wl,-U,_qti_extra_matrix_get' '-Wl,-U,_qti_extra_matrix_set' '-Wl,-U,_qti_extra_new' '-Wl,-U,_qti_extra_pixelformat_get' '-Wl,-U,_qti_extra_pixelformat_set' '-Wl,-U,_qti_extra_rect_get' '-Wl,-U,_qti_extra_rect_set' '-Wl,-U,_qti_extra_scalemode_get' '-Wl,-U,_qti_extra_scalemode_set' '-Wl,-U,_qti_extra_time_get' '-Wl,-U,_qti_extra_time_set' '-Wl,-U,_qtimage_getrect' '-Wl,-U,_qtimage_open' '-Wl,-U,_quickmap_add' '-Wl,-U,_quickmap_drop' '-Wl,-U,_quickmap_lookup_key1' '-Wl,-U,_quickmap_lookup_key2' '-Wl,-U,_quickmap_readonly' '-Wl,-U,_quickmap_new' '-Wl,-U,_quittask_install' '-Wl,-U,_quittask_remove' '-Wl,-U,_quittask_remove2' '-Wl,-U,_readatom' '-Wl,-U,_readatom_flags' '-Wl,-U,_readtohandle' '-Wl,-U,_recent_add' '-Wl,-U,_recent_getlist' '-Wl,-U,_recent_project_getlist' '-Wl,-U,_reg_object_namespace_lookup' '-Wl,-U,_reg_object_singlesym' '-Wl,-U,_rerand' '-Wl,-U,_saveas_autoextension' '-Wl,-U,_saveas_dialog' '-Wl,-U,_saveas_messageset' '-Wl,-U,_saveas_promptset' '-Wl,-U,_saveas_setselectedtype' '-Wl,-U,_saveasdialog_extended' '-Wl,-U,_saveasdialog_extended_filetypelist' '-Wl,-U,_saveasdialog_pathset' '-Wl,-U,_sched_idledequeue' '-Wl,-U,_sched_isinpoll' '-Wl,-U,_sched_isinqueue' '-Wl,-U,_sched_resume' '-Wl,-U,_sched_set_takeover' '-Wl,-U,_sched_setpollthrottle' '-Wl,-U,_sched_setqueuethrottle' '-Wl,-U,_sched_suspend' '-Wl,-U,_schedule' '-Wl,-U,_schedule_defer' '-Wl,-U,_schedule_delay' '-Wl,-U,_schedule_fdefer' '-Wl,-U,_schedule_fdelay' '-Wl,-U,_schedulef' '-Wl,-U,_scheduler_gettime' '-Wl,-U,_scheduler_getaudiooffset' '-Wl,-U,_scheduler_new' '-Wl,-U,_scheduler_run' '-Wl,-U,_scheduler_get' '-Wl,-U,_scheduler_set' '-Wl,-U,_scheduler_settime' '-Wl,-U,_scheduler_setaudioschedulertime' '-Wl,-U,_scheduler_fromobject' '-Wl,-U,_scheduler_shift' '-Wl,-U,_serialno' '-Wl,-U,_setclock_delay' '-Wl,-U,_setclock_fdelay' '-Wl,-U,_setclock_fgettime' '-Wl,-U,_setclock_getftime' '-Wl,-U,_setclock_gettime' '-Wl,-U,_setclock_unset' '-Wl,-U,_setup' '-Wl,-U,_ShiftKeyDown' '-Wl,-U,_simpleprefs_dictionary' '-Wl,-U,_sndfile_info' '-Wl,-U,_sndfile_writeheader' '-Wl,-U,_sprintf' '-Wl,-U,_sscanf' '-Wl,-U,_sprintf_tr' '-Wl,-U,_stdinletinfo' '-Wl,-U,_stdlist' '-Wl,-U,_str_tr' '-Wl,-U,_string_getptr' '-Wl,-U,_string_new' '-Wl,-U,_string_reserve' '-Wl,-U,_string_append' '-Wl,-U,_string_chop' '-Wl,-U,_string_clone_to_existing' '-Wl,-U,_stringload' '-Wl,-U,_strncpy_zero' '-Wl,-U,_snprintf_zero' '-Wl,-U,_strncat_zero' '-Wl,-U,_symbol_tr' '-Wl,-U,_symbol_unique' '-Wl,-U,_symbolarray_sort' '-Wl,-U,_symobject_new' '-Wl,-U,_symobject_linklist_match' '-Wl,-U,_sysdateformat_strftimetodatetime' '-Wl,-U,_sysdateformat_formatdatetime' '-Wl,-U,_sysfile_close' '-Wl,-U,_sysfile_geteof' '-Wl,-U,_sysfile_geteof_64' '-Wl,-U,_sysfile_getpos' '-Wl,-U,_sysfile_getpos_64' '-Wl,-U,_sysfile_openhandle' '-Wl,-U,_sysfile_openptrsize' '-Wl,-U,_sysfile_read' '-Wl,-U,_sysfile_readtextfile' '-Wl,-U,_sysfile_readtohandle' '-Wl,-U,_sysfile_readtoptr' '-Wl,-U,_sysfile_seteof' '-Wl,-U,_sysfile_setobject' '-Wl,-U,_sysfile_setpos' '-Wl,-U,_sysfile_setpos_64' '-Wl,-U,_sysfile_spoolcopy' '-Wl,-U,_sysfile_write' '-Wl,-U,_sysfile_writetextfile' '-Wl,-U,_sysmem_copyptr' '-Wl,-U,_sysmem_freehandle' '-Wl,-U,_sysmem_freeptr' '-Wl,-U,_sysmem_handlesize' '-Wl,-U,_sysmem_lockhandle' '-Wl,-U,_sysmem_newhandle' '-Wl,-U,_sysmem_newhandleclear' '-Wl,-U,_sysmem_newptr' '-Wl,-U,_sysmem_newptrclear' '-Wl,-U,_sysmem_nullterminatehandle' '-Wl,-U,_sysmem_ptrandhand' '-Wl,-U,_sysmem_ptrbeforehand' '-Wl,-U,_sysmem_ptrsize' '-Wl,-U,_sysmem_resizehandle' '-Wl,-U,_sysmem_resizeptr' '-Wl,-U,_sysmem_resizeptrclear' '-Wl,-U,_sysmenu_appenditem' '-Wl,-U,_sysmenu_appendrawitem' '-Wl,-U,_sysmenu_appendseparator' '-Wl,-U,_sysmenu_assignsubmenu' '-Wl,-U,_sysmenu_checkitem' '-Wl,-U,_sysmenu_cmdid_popup' '-Wl,-U,_sysmenu_cmdid_set' '-Wl,-U,_sysmenu_copyitems' '-Wl,-U,_sysmenu_deleteallitems' '-Wl,-U,_sysmenu_deleteitem' '-Wl,-U,_sysmenu_dispose' '-Wl,-U,_sysmenu_getcheck' '-Wl,-U,_sysmenu_gethelp' '-Wl,-U,_sysmenu_getid' '-Wl,-U,_sysmenu_gettext' '-Wl,-U,_sysmenu_gettitle' '-Wl,-U,_sysmenu_insert' '-Wl,-U,_sysmenu_insertsubmenu' '-Wl,-U,_sysmenu_itemcount' '-Wl,-U,_sysmenu_new' '-Wl,-U,_sysmenu_setitem' '-Wl,-U,_sysmenu_setreference' '-Wl,-U,_sysmenu_setshortcut' '-Wl,-U,_sysmenu_settext' '-Wl,-U,_sysmidi_createport' '-Wl,-U,_sysmidi_deletemarked' '-Wl,-U,_sysmidi_enqbigpacket' '-Wl,-U,_sysmidi_getinstance' '-Wl,-U,_sysmidi_idtoport' '-Wl,-U,_sysmidi_indextoname' '-Wl,-U,_sysmidi_iterate' '-Wl,-U,_sysmidi_numinports' '-Wl,-U,_sysmidi_numoutports' '-Wl,-U,_sysmidi_uniqueid' '-Wl,-U,_sysmidi_data1toport' '-Wl,-U,_sysmidi_nametoport' '-Wl,-U,_sysparallel_processorcount' '-Wl,-U,_sysparallel_physical_processorcount' '-Wl,-U,_sysparallel_task_benchprint' '-Wl,-U,_sysparallel_task_cancel' '-Wl,-U,_sysparallel_task_data' '-Wl,-U,_sysparallel_task_execute' '-Wl,-U,_sysparallel_task_free' '-Wl,-U,_sysparallel_task_new' '-Wl,-U,_sysparallel_task_workerproc' '-Wl,-U,_sysparallel_worker_execute' '-Wl,-U,_sysparallel_worker_free' '-Wl,-U,_sysparallel_worker_new' '-Wl,-U,_systhread_cond_broadcast' '-Wl,-U,_systhread_cond_free' '-Wl,-U,_systhread_cond_new' '-Wl,-U,_systhread_cond_signal' '-Wl,-U,_systhread_cond_wait' '-Wl,-U,_systhread_create' '-Wl,-U,_systhread_exit' '-Wl,-U,_systhread_getspecific' '-Wl,-U,_systhread_ismainthread' '-Wl,-U,_systhread_istimerthread' '-Wl,-U,_systhread_isaudiothread' '-Wl,-U,_systhread_set_name' '-Wl,-U,_systhread_markasaudiothread_begin' '-Wl,-U,_systhread_markasaudiothread_end' '-Wl,-U,_systhread_join' '-Wl,-U,_systhread_timedjoin' '-Wl,-U,_systhread_detach' '-Wl,-U,_systhread_mutex_free' '-Wl,-U,_systhread_mutex_lock' '-Wl,-U,_systhread_mutex_new' '-Wl,-U,_systhread_mutex_newlock' '-Wl,-U,_systhread_mutex_trylock' '-Wl,-U,_systhread_mutex_unlock' '-Wl,-U,_systhread_rwlock_new' '-Wl,-U,_systhread_rwlock_free' '-Wl,-U,_systhread_rwlock_rdlock' '-Wl,-U,_systhread_rwlock_tryrdlock' '-Wl,-U,_systhread_rwlock_rdunlock' '-Wl,-U,_systhread_rwlock_wrlock' '-Wl,-U,_systhread_rwlock_trywrlock' '-Wl,-U,_systhread_rwlock_wrunlock' '-Wl,-U,_systhread_rwlock_setspintime' '-Wl,-U,_systhread_rwlock_getspintime' '-Wl,-U,_systhread_key_create' '-Wl,-U,_systhread_key_delete' '-Wl,-U,_systhread_self' '-Wl,-U,_systhread_equal' '-Wl,-U,_systhread_setpriority' '-Wl,-U,_systhread_getpriority' '-Wl,-U,_systhread_setspecific' '-Wl,-U,_systhread_eliminatedenormals' '-Wl,-U,_systhread_sleep' '-Wl,-U,_systhread_terminate' '-Wl,-U,_systime_datetime' '-Wl,-U,_systime_datetoseconds' '-Wl,-U,_systime_datetime_milliseconds' '-Wl,-U,_systime_ms' '-Wl,-U,_systime_seconds' '-Wl,-U,_systime_secondstodate' '-Wl,-U,_systime_ticks' '-Wl,-U,_systimer_gettime' '-Wl,-U,_tabfromhandle' '-Wl,-U,_table_dirty' '-Wl,-U,_table_get' '-Wl,-U,_textpreferences_add' '-Wl,-U,_textpreferences_addoption' '-Wl,-U,_textpreferences_addraw' '-Wl,-U,_textpreferences_addrect' '-Wl,-U,_textpreferences_close' '-Wl,-U,_textpreferences_default' '-Wl,-U,_textpreferences_open' '-Wl,-U,_textpreferences_read' '-Wl,-U,_time_stop' '-Wl,-U,_time_tick' '-Wl,-U,_time_getms' '-Wl,-U,_time_getticks' '-Wl,-U,_time_listen' '-Wl,-U,_time_getphase' '-Wl,-U,_time_setvalue' '-Wl,-U,_class_time_addattr' '-Wl,-U,_time_new' '-Wl,-U,_time_new_custom' '-Wl,-U,_time_getnamed' '-Wl,-U,_time_enable_attributes' '-Wl,-U,_time_isfixedunit' '-Wl,-U,_time_schedule' '-Wl,-U,_time_schedule_limit' '-Wl,-U,_time_setticks' '-Wl,-U,_time_now' '-Wl,-U,_time_getitm' '-Wl,-U,_time_calcquantize' '-Wl,-U,_time_setclock' '-Wl,-U,_toolfile_fread' '-Wl,-U,_toolfile_fwrite' '-Wl,-U,_toolfile_getc' '-Wl,-U,_toolfile_new' '-Wl,-U,_translation_getinterfacepath' '-Wl,-U,_typedmess' '-Wl,-U,_typelist_make' '-Wl,-U,_utils_setcontext' '-Wl,-U,_utils_usecontext' '-Wl,-U,_utils_getcontextnumber' '-Wl,-U,_utils_contextinuse' '-Wl,-U,_wind_advise' '-Wl,-U,_wind_advise_explain' '-Wl,-U,_wind_nocancel' '-Wl,-U,_wind_setcursor' '-Wl,-U,_xmltree_attr_symcompare' '-Wl,-U,_xmltree_attribute_free' '-Wl,-U,_xmltree_attribute_new' '-Wl,-U,_xmltree_cdata_free' '-Wl,-U,_xmltree_cdata_new' '-Wl,-U,_xmltree_cdata_splittext' '-Wl,-U,_xmltree_charnode_addinterface' '-Wl,-U,_xmltree_charnode_appenddata' '-Wl,-U,_xmltree_charnode_deletedata' '-Wl,-U,_xmltree_charnode_free' '-Wl,-U,_xmltree_charnode_insertdata' '-Wl,-U,_xmltree_charnode_new' '-Wl,-U,_xmltree_charnode_replacedata' '-Wl,-U,_xmltree_charnode_substringdata' '-Wl,-U,_xmltree_comment_free' '-Wl,-U,_xmltree_comment_new' '-Wl,-U,_xmltree_document_createattribute' '-Wl,-U,_xmltree_document_createcdatasection' '-Wl,-U,_xmltree_document_createcomment' '-Wl,-U,_xmltree_document_createelement' '-Wl,-U,_xmltree_document_createheader' '-Wl,-U,_xmltree_document_createtextnode' '-Wl,-U,_xmltree_document_filename' '-Wl,-U,_xmltree_document_free' '-Wl,-U,_xmltree_document_getelementsbytagname' '-Wl,-U,_xmltree_document_new' '-Wl,-U,_xmltree_document_print' '-Wl,-U,_xmltree_document_read' '-Wl,-U,_xmltree_document_write' '-Wl,-U,_xmltree_document_xmlparse_cdata_end' '-Wl,-U,_xmltree_document_xmlparse_cdata_start' '-Wl,-U,_xmltree_document_xmlparse_characterdata' '-Wl,-U,_xmltree_document_xmlparse_comment' '-Wl,-U,_xmltree_document_xmlparse_default' '-Wl,-U,_xmltree_document_xmlparse_doctype_end' '-Wl,-U,_xmltree_document_xmlparse_doctype_start' '-Wl,-U,_xmltree_document_xmlparse_element_end' '-Wl,-U,_xmltree_document_xmlparse_element_start' '-Wl,-U,_xmltree_element_free' '-Wl,-U,_xmltree_element_getattribute' '-Wl,-U,_xmltree_element_getattribute_float' '-Wl,-U,_xmltree_element_getattribute_float_array' '-Wl,-U,_xmltree_element_getattribute_long' '-Wl,-U,_xmltree_element_getattribute_long_array' '-Wl,-U,_xmltree_element_getattribute_sym' '-Wl,-U,_xmltree_element_getattribute_sym_array' '-Wl,-U,_xmltree_element_getattributenode' '-Wl,-U,_xmltree_element_getelementsbytagname' '-Wl,-U,_xmltree_element_new' '-Wl,-U,_xmltree_element_removeattribute' '-Wl,-U,_xmltree_element_removeattributenode' '-Wl,-U,_xmltree_element_setattribute' '-Wl,-U,_xmltree_element_setattribute_float' '-Wl,-U,_xmltree_element_setattribute_float_array' '-Wl,-U,_xmltree_element_setattribute_long' '-Wl,-U,_xmltree_element_setattribute_long_array' '-Wl,-U,_xmltree_element_setattribute_sym' '-Wl,-U,_xmltree_element_setattribute_sym_array' '-Wl,-U,_xmltree_element_setattributenode' '-Wl,-U,_xmltree_element_symcompare' '-Wl,-U,_xmltree_init' '-Wl,-U,_xmltree_node_addinterface' '-Wl,-U,_xmltree_node_appendchild' '-Wl,-U,_xmltree_node_clonenode' '-Wl,-U,_xmltree_node_free' '-Wl,-U,_xmltree_node_getnodevalasstring' '-Wl,-U,_xmltree_node_getnodevalue' '-Wl,-U,_xmltree_node_getnodevalue_float' '-Wl,-U,_xmltree_node_getnodevalue_float_array' '-Wl,-U,_xmltree_node_getnodevalue_long' '-Wl,-U,_xmltree_node_getnodevalue_long_array' '-Wl,-U,_xmltree_node_getnodevalue_sym' '-Wl,-U,_xmltree_node_getnodevalue_sym_array' '-Wl,-U,_xmltree_node_haschildnodes' '-Wl,-U,_xmltree_node_insertbefore' '-Wl,-U,_xmltree_node_new' '-Wl,-U,_xmltree_node_nodevalue' '-Wl,-U,_xmltree_node_nodevalue_float' '-Wl,-U,_xmltree_node_nodevalue_float_array' '-Wl,-U,_xmltree_node_nodevalue_long' '-Wl,-U,_xmltree_node_nodevalue_long_array' '-Wl,-U,_xmltree_node_nodevalue_sym' '-Wl,-U,_xmltree_node_nodevalue_sym_array' '-Wl,-U,_xmltree_node_removeallchildren' '-Wl,-U,_xmltree_node_removechild' '-Wl,-U,_xmltree_node_replacechild' '-Wl,-U,_xmltree_node_setnodevalasstring' '-Wl,-U,_xmltree_node_write' '-Wl,-U,_xmltree_text_free' '-Wl,-U,_xmltree_text_new' '-Wl,-U,_xmltree_text_splittext' '-Wl,-U,_xpcoll_dereference' '-Wl,-U,_xpcoll_load' '-Wl,-U,_xpcoll_open' '-Wl,-U,_xpcoll_opensysfile' '-Wl,-U,_xpcoll_reference' '-Wl,-U,_xpcoll_setclientcallback' '-Wl,-U,_xpcoll_getvol' '-Wl,-U,_xpcoll_openfile' '-Wl,-U,_xpcoll_fromnameddata' '-Wl,-U,_xpcoll_unfreezedevice' '-Wl,-U,_xsetpost' '-Wl,-U,_zgetfn' '-Wl,-U,_jbox_initclass' '-Wl,-U,_jbox_new' '-Wl,-U,_jbox_free' '-Wl,-U,_jbox_ready' '-Wl,-U,_jbox_redraw' '-Wl,-U,_jbox_redrawcontents' '-Wl,-U,_jbox_getoutlet' '-Wl,-U,_jbox_getinlet' '-Wl,-U,_jbox_updatetextfield' '-Wl,-U,_jbox_updatetextfield_safe' '-Wl,-U,_jbox_updatetextfield_lockmutex' '-Wl,-U,_jbox_grabfocus' '-Wl,-U,_jbox_show_caption' '-Wl,-U,_jbox_hide_caption' '-Wl,-U,_jbox_invalidate_layer' '-Wl,-U,_jbox_remove_layer' '-Wl,-U,_jbox_start_layer' '-Wl,-U,_jbox_end_layer' '-Wl,-U,_jbox_paint_layer' '-Wl,-U,_jbox_get_boxpath' '-Wl,-U,_jbox_validaterects' '-Wl,-U,_jbox_processlegacydefaults' '-Wl,-U,_jbox_isdefaultattribute' '-Wl,-U,_jpatcher_deleteobj' '-Wl,-U,_jpatcher_is_patcher' '-Wl,-U,_jpatcher_get_box' '-Wl,-U,_jpatcher_get_count' '-Wl,-U,_jpatcher_get_firstobject' '-Wl,-U,_jpatcher_get_lastobject' '-Wl,-U,_jpatcher_get_firstline' '-Wl,-U,_jpatcher_get_firstview' '-Wl,-U,_jpatcher_set_locked' '-Wl,-U,_jpatcher_get_title' '-Wl,-U,_jpatcher_set_title' '-Wl,-U,_jpatcher_get_name' '-Wl,-U,_jpatcher_get_filename' '-Wl,-U,_jpatcher_get_filepath' '-Wl,-U,_jpatcher_get_dirty' '-Wl,-U,_jpatcher_set_dirty' '-Wl,-U,_jpatcher_get_bgcolor' '-Wl,-U,_jpatcher_set_bgcolor' '-Wl,-U,_jpatcher_get_gridsize' '-Wl,-U,_jpatcher_set_gridsize' '-Wl,-U,_jpatcher_get_parentpatcher' '-Wl,-U,_jpatcher_get_toppatcher' '-Wl,-U,_jpatcher_get_hubholder' '-Wl,-U,_jpatcher_get_maxclass' '-Wl,-U,_jpatcher_get_parentclass' '-Wl,-U,_jpatcher_get_rect' '-Wl,-U,_jpatcher_set_rect' '-Wl,-U,_jpatcher_get_noedit' '-Wl,-U,_jpatcher_uniqueboxname' '-Wl,-U,_jpatcher_getboxfont' '-Wl,-U,_jpatcher_get_controller' '-Wl,-U,_jpatcher_addboxlistener' '-Wl,-U,_jpatcher_removeboxlistener' '-Wl,-U,_jpatcher_get_fileversion' '-Wl,-U,_jpatcher_get_currentfileversion' '-Wl,-U,_jpatcher_get_bglocked' '-Wl,-U,_jpatcher_get_presentation' '-Wl,-U,_jpatcher_inc_maxsendcontext' '-Wl,-U,_jpatcher_dictionary_modernui' '-Wl,-U,_jpatcher_dictionary_version' '-Wl,-U,_jpatcher_sortdictionary' '-Wl,-U,_jpatcher_getboxfromid' '-Wl,-U,_jpatcher_endlognewobjects' '-Wl,-U,_jpatcher_swapboxlist' '-Wl,-U,_jpatcher_swaplinelist' '-Wl,-U,_systemfontname' '-Wl,-U,_systemfontsym' '-Wl,-U,_jpatchercontroller_createobject' '-Wl,-U,_jpatchercontroller_setpatcherview' '-Wl,-U,_jpatchercontroller_pastefileintoobject' '-Wl,-U,_jpatchercontroller_pastefileat' '-Wl,-U,_jpatchercontroller_connectobjects' '-Wl,-U,_jpatchercontroller_begintransaction' '-Wl,-U,_jpatchercontroller_endtransaction' '-Wl,-U,_jpatchercontroller_setattr' '-Wl,-U,_jpatchercontroller_dictionary_setattr' '-Wl,-U,_object_attr_get_rect' '-Wl,-U,_object_attr_set_rect' '-Wl,-U,_object_attr_getcolor' '-Wl,-U,_object_attr_setcolor' '-Wl,-U,_object_attr_getpt' '-Wl,-U,_object_attr_setpt' '-Wl,-U,_object_attr_getsize' '-Wl,-U,_object_attr_setsize' '-Wl,-U,_jbox_get_maxclass' '-Wl,-U,_jbox_get_patcher' '-Wl,-U,_jbox_get_object' '-Wl,-U,_jbox_get_rect_for_view' '-Wl,-U,_jbox_set_rect_for_view' '-Wl,-U,_jbox_get_rect_for_sym' '-Wl,-U,_jbox_set_rect_for_sym' '-Wl,-U,_jbox_set_rect' '-Wl,-U,_jbox_get_patching_rect' '-Wl,-U,_jbox_set_patching_rect' '-Wl,-U,_jbox_get_presentation_rect' '-Wl,-U,_jbox_set_presentation_rect' '-Wl,-U,_jbox_set_position' '-Wl,-U,_jbox_get_patching_position' '-Wl,-U,_jbox_set_patching_position' '-Wl,-U,_jbox_get_presentation_position' '-Wl,-U,_jbox_set_presentation_position' '-Wl,-U,_jbox_set_size' '-Wl,-U,_jbox_get_patching_size' '-Wl,-U,_jbox_set_patching_size' '-Wl,-U,_jbox_get_presentation_size' '-Wl,-U,_jbox_set_presentation_size' '-Wl,-U,_jbox_get_hidden' '-Wl,-U,_jbox_set_hidden' '-Wl,-U,_jbox_get_fontname' '-Wl,-U,_jbox_set_fontname' '-Wl,-U,_jbox_get_fontsize' '-Wl,-U,_jbox_createfont' '-Wl,-U,_jbox_set_fontsize' '-Wl,-U,_jbox_fontface_to_weight_slant' '-Wl,-U,_jbox_get_font_slant' '-Wl,-U,_jbox_get_font_weight' '-Wl,-U,_jbox_get_color' '-Wl,-U,_jbox_set_color' '-Wl,-U,_jbox_get_nextobject' '-Wl,-U,_jbox_get_prevobject' '-Wl,-U,_jbox_get_varname' '-Wl,-U,_jbox_set_varname' '-Wl,-U,_jbox_get_id' '-Wl,-U,_jbox_get_canhilite' '-Wl,-U,_jbox_get_background' '-Wl,-U,_jbox_set_background' '-Wl,-U,_jbox_get_ignoreclick' '-Wl,-U,_jbox_set_ignoreclick' '-Wl,-U,_jbox_get_drawfirstin' '-Wl,-U,_jbox_get_outline' '-Wl,-U,_jbox_set_outline' '-Wl,-U,_jbox_get_growy' '-Wl,-U,_jbox_get_growboth' '-Wl,-U,_jbox_get_nogrow' '-Wl,-U,_jbox_get_drawinlast' '-Wl,-U,_jbox_get_mousedragdelta' '-Wl,-U,_jbox_set_mousedragdelta' '-Wl,-U,_jbox_get_textfield' '-Wl,-U,_jbox_set_hinttrack' '-Wl,-U,_jbox_get_hinttrack' '-Wl,-U,_jbox_set_hintstring' '-Wl,-U,_jpatchline_get_startpoint' '-Wl,-U,_jpatchline_get_endpoint' '-Wl,-U,_jpatchline_get_nummidpoints' '-Wl,-U,_jpatchline_get_pending' '-Wl,-U,_jpatchline_get_box1' '-Wl,-U,_jpatchline_get_outletnum' '-Wl,-U,_jpatchline_get_box2' '-Wl,-U,_jpatchline_get_inletnum' '-Wl,-U,_jpatchline_get_straightthresh' '-Wl,-U,_jpatchline_set_straightthresh' '-Wl,-U,_jpatchline_get_straightstart' '-Wl,-U,_jpatchline_get_straightend' '-Wl,-U,_jpatchline_set_straightstart' '-Wl,-U,_jpatchline_set_straightend' '-Wl,-U,_jpatchline_get_nextline' '-Wl,-U,_jpatchline_get_hidden' '-Wl,-U,_jpatchline_set_hidden' '-Wl,-U,_jpatchline_get_color' '-Wl,-U,_jpatchline_set_color' '-Wl,-U,_jpatchline_addpaintmethod' '-Wl,-U,_patcherview_get_visible' '-Wl,-U,_patcherview_set_visible' '-Wl,-U,_patcherview_get_locked' '-Wl,-U,_patcherview_set_locked' '-Wl,-U,_patcherview_get_zoomfactor' '-Wl,-U,_patcherview_set_zoomfactor' '-Wl,-U,_patcherview_get_nextview' '-Wl,-U,_patcherview_get_topview' '-Wl,-U,_patcherview_get_jgraphics' '-Wl,-U,_patcherview_set_jgraphics' '-Wl,-U,_patcherview_get_patcher' '-Wl,-U,_patcherview_get_rect' '-Wl,-U,_patcherview_set_rect' '-Wl,-U,_patcherview_canvas_to_screen' '-Wl,-U,_patcherview_screen_to_canvas' '-Wl,-U,_patcherview_get_presentation' '-Wl,-U,_textfield_get_owner' '-Wl,-U,_textfield_get_textcolor' '-Wl,-U,_textfield_set_textcolor' '-Wl,-U,_textfield_get_bgcolor' '-Wl,-U,_textfield_set_bgcolor' '-Wl,-U,_textfield_get_textmargins' '-Wl,-U,_textfield_set_textmargins' '-Wl,-U,_textfield_get_editonclick' '-Wl,-U,_textfield_set_editonclick' '-Wl,-U,_textfield_get_selectallonedit' '-Wl,-U,_textfield_set_selectallonedit' '-Wl,-U,_textfield_get_noactivate' '-Wl,-U,_textfield_set_noactivate' '-Wl,-U,_textfield_get_readonly' '-Wl,-U,_textfield_set_readonly' '-Wl,-U,_textfield_get_wordwrap' '-Wl,-U,_textfield_set_wordwrap' '-Wl,-U,_textfield_get_useellipsis' '-Wl,-U,_textfield_set_useellipsis' '-Wl,-U,_textfield_get_autoscroll' '-Wl,-U,_textfield_set_autoscroll' '-Wl,-U,_textfield_get_wantsreturn' '-Wl,-U,_textfield_set_wantsreturn' '-Wl,-U,_textfield_get_wantstab' '-Wl,-U,_textfield_set_wantstab' '-Wl,-U,_textfield_get_autofixwidth' '-Wl,-U,_textfield_set_autofixwidth' '-Wl,-U,_textfield_set_emptytext' '-Wl,-U,_textfield_get_emptytext' '-Wl,-U,_textfield_set_underline' '-Wl,-U,_textfield_get_underline' '-Wl,-U,_textfield_set_justification' '-Wl,-U,_textfield_get_justification' '-Wl,-U,_jdrag_getitemstring' '-Wl,-U,_jdrag_getobject' '-Wl,-U,_jdrag_getlocation' '-Wl,-U,_jdrag_createobject' '-Wl,-U,_jdrag_createnewobj' '-Wl,-U,_jdrag_createmessage' '-Wl,-U,_jdrag_add' '-Wl,-U,_jdrag_process_drop' '-Wl,-U,_jdrag_matchdragrole' '-Wl,-U,_jdrag_setboxlocation' '-Wl,-U,_jdrag_box_add' '-Wl,-U,_jdrag_object_add' '-Wl,-U,_jdrag_itemcount' '-Wl,-U,_jgraphics_getfiletypes' '-Wl,-U,_jgraphics_round' '-Wl,-U,_jgraphics_image_surface_clear' '-Wl,-U,_jgraphics_image_surface_create' '-Wl,-U,_jgraphics_image_surface_create_referenced' '-Wl,-U,_jgraphics_image_surface_create_from_file' '-Wl,-U,_jgraphics_image_surface_create_for_data' '-Wl,-U,_jgraphics_image_surface_create_from_filedata' '-Wl,-U,_jgraphics_image_surface_create_from_resource' '-Wl,-U,_jgraphics_image_surface_writepng' '-Wl,-U,_jgraphics_image_surface_writejpeg' '-Wl,-U,_jgraphics_surface_reference' '-Wl,-U,_jgraphics_surface_destroy' '-Wl,-U,_jgraphics_surface_set_device_offset' '-Wl,-U,_jgraphics_surface_get_device_offset' '-Wl,-U,_jgraphics_image_surface_get_width' '-Wl,-U,_jgraphics_image_surface_get_height' '-Wl,-U,_jgraphics_image_surface_set_pixel' '-Wl,-U,_jgraphics_image_surface_get_pixel' '-Wl,-U,_jgraphics_image_surface_scroll' '-Wl,-U,_jgraphics_image_surface_lockpixels_readonly' '-Wl,-U,_jgraphics_image_surface_unlockpixels_readonly' '-Wl,-U,_jgraphics_image_surface_lockpixels' '-Wl,-U,_jgraphics_image_surface_unlockpixels' '-Wl,-U,_jgraphics_image_surface_draw' '-Wl,-U,_jgraphics_image_surface_draw_fast' '-Wl,-U,_jgraphics_getfontscale' '-Wl,-U,_jgraphics_get_resource_data' '-Wl,-U,_jsvg_create_from_file' '-Wl,-U,_jsvg_create_from_resource' '-Wl,-U,_jsvg_create_from_xmlstring' '-Wl,-U,_jsvg_get_size' '-Wl,-U,_jsvg_destroy' '-Wl,-U,_jsvg_render' '-Wl,-U,_jgraphics_create' '-Wl,-U,_jgraphics_reference' '-Wl,-U,_jgraphics_destroy' '-Wl,-U,_jgraphics_new_path' '-Wl,-U,_jgraphics_copy_path' '-Wl,-U,_jgraphics_path_destroy' '-Wl,-U,_jgraphics_append_path' '-Wl,-U,_jgraphics_close_path' '-Wl,-U,_jgraphics_path_roundcorners' '-Wl,-U,_jgraphics_get_current_point' '-Wl,-U,_jgraphics_diagonal_line_fill' '-Wl,-U,_jgraphics_arc' '-Wl,-U,_jgraphics_arc_negative' '-Wl,-U,_jgraphics_piesegment' '-Wl,-U,_jgraphics_curve_to' '-Wl,-U,_jgraphics_rel_curve_to' '-Wl,-U,_jgraphics_line_to' '-Wl,-U,_jgraphics_rel_line_to' '-Wl,-U,_jgraphics_move_to' '-Wl,-U,_jgraphics_rel_move_to' '-Wl,-U,_jgraphics_rectangle' '-Wl,-U,_jgraphics_rectangle_rounded' '-Wl,-U,_jgraphics_ellipse' '-Wl,-U,_jgraphics_oval' '-Wl,-U,_jgraphics_ovalarc' '-Wl,-U,_jgraphics_in_fill' '-Wl,-U,_jgraphics_line_intersects_rect' '-Wl,-U,_jgraphics_path_intersects_line' '-Wl,-U,_jgraphics_path_intersectsline' '-Wl,-U,_jgraphics_path_getpathelems' '-Wl,-U,_jgraphics_rectintersectsrect' '-Wl,-U,_jgraphics_rectcontainsrect' '-Wl,-U,_jgraphics_ptinrect' '-Wl,-U,_jgraphics_ptinroundedrect' '-Wl,-U,_jgraphics_fill_extents' '-Wl,-U,_jgraphics_select_font_face' '-Wl,-U,_jgraphics_select_jfont' '-Wl,-U,_jgraphics_set_font_size' '-Wl,-U,_jgraphics_set_underline' '-Wl,-U,_jgraphics_show_text' '-Wl,-U,_jgraphics_font_extents' '-Wl,-U,_jgraphics_text_measure' '-Wl,-U,_jgraphics_text_measuretext_wrapped' '-Wl,-U,_jgraphics_text_path' '-Wl,-U,_jgraphics_jrgba_contrasting' '-Wl,-U,_jgraphics_jrgba_contrastwith' '-Wl,-U,_jgraphics_jrgba_darker' '-Wl,-U,_jgraphics_jrgba_brighter' '-Wl,-U,_jgraphics_jrgba_overlay' '-Wl,-U,_jgraphics_jrgba_interpolate' '-Wl,-U,_jgraphics_jrgba_gethsb' '-Wl,-U,_jgraphics_jrgba_fromhsb' '-Wl,-U,_jgraphics_clip' '-Wl,-U,_jfont_create_from_maxfont' '-Wl,-U,_jfont_create' '-Wl,-U,_jfont_reference' '-Wl,-U,_jfont_destroy' '-Wl,-U,_jfont_ellipsifytext' '-Wl,-U,_jfont_isequalto' '-Wl,-U,_jfont_set_family' '-Wl,-U,_jfont_get_family' '-Wl,-U,_jfont_set_slant' '-Wl,-U,_jfont_get_slant' '-Wl,-U,_jfont_set_weight' '-Wl,-U,_jfont_get_weight' '-Wl,-U,_jfont_set_font_size' '-Wl,-U,_jfont_get_font_size' '-Wl,-U,_jfont_set_underline' '-Wl,-U,_jfont_get_underline' '-Wl,-U,_jfont_get_heighttocharheightratio' '-Wl,-U,_jfont_extents' '-Wl,-U,_jfont_text_measure' '-Wl,-U,_jfont_text_measuretext_wrapped' '-Wl,-U,_jfont_getfontlist' '-Wl,-U,_jfont_get_em_dimensions' '-Wl,-U,_jgraphics_system_canantialiastexttotransparentbg' '-Wl,-U,_jtextlayout_create' '-Wl,-U,_jtextlayout_withbgcolor' '-Wl,-U,_jtextlayout_destroy' '-Wl,-U,_jtextlayout_set' '-Wl,-U,_jtextlayout_settext' '-Wl,-U,_jtextlayout_settextcolor' '-Wl,-U,_jtextlayout_measuretext' '-Wl,-U,_jtextlayout_draw' '-Wl,-U,_jtextlayout_getnumchars' '-Wl,-U,_jtextlayout_getcharbox' '-Wl,-U,_jtextlayout_getchar' '-Wl,-U,_jtextlayout_createpath' '-Wl,-U,_jgraphics_matrix_init' '-Wl,-U,_jgraphics_matrix_init_identity' '-Wl,-U,_jgraphics_matrix_init_translate' '-Wl,-U,_jgraphics_matrix_init_scale' '-Wl,-U,_jgraphics_matrix_init_rotate' '-Wl,-U,_jgraphics_matrix_translate' '-Wl,-U,_jgraphics_matrix_scale' '-Wl,-U,_jgraphics_matrix_rotate' '-Wl,-U,_jgraphics_matrix_invert' '-Wl,-U,_jgraphics_matrix_multiply' '-Wl,-U,_jgraphics_matrix_transform_point' '-Wl,-U,_jgraphics_pattern_create_rgba' '-Wl,-U,_jgraphics_pattern_create_for_surface' '-Wl,-U,_jgraphics_pattern_create_linear' '-Wl,-U,_jgraphics_pattern_create_radial' '-Wl,-U,_jgraphics_pattern_add_color_stop_rgba' '-Wl,-U,_jgraphics_pattern_reference' '-Wl,-U,_jgraphics_pattern_destroy' '-Wl,-U,_jgraphics_pattern_get_type' '-Wl,-U,_jgraphics_pattern_set_extend' '-Wl,-U,_jgraphics_pattern_get_extend' '-Wl,-U,_jgraphics_pattern_set_matrix' '-Wl,-U,_jgraphics_pattern_get_matrix' '-Wl,-U,_jgraphics_pattern_get_surface' '-Wl,-U,_jgraphics_pattern_translate' '-Wl,-U,_jgraphics_pattern_scale' '-Wl,-U,_jgraphics_pattern_rotate' '-Wl,-U,_jgraphics_translate' '-Wl,-U,_jgraphics_scale' '-Wl,-U,_jgraphics_rotate' '-Wl,-U,_jgraphics_transform' '-Wl,-U,_jgraphics_set_matrix' '-Wl,-U,_jgraphics_get_matrix' '-Wl,-U,_jgraphics_identity_matrix' '-Wl,-U,_jgraphics_user_to_device' '-Wl,-U,_jgraphics_device_to_user' '-Wl,-U,_jgraphics_save' '-Wl,-U,_jgraphics_restore' '-Wl,-U,_jgraphics_set_source_rgba' '-Wl,-U,_jgraphics_set_source_jrgba' '-Wl,-U,_jgraphics_set_source_rgb' '-Wl,-U,_jgraphics_set_source' '-Wl,-U,_jgraphics_set_source_surface' '-Wl,-U,_jgraphics_set_source_shared' '-Wl,-U,_jgraphics_scale_source_rgba' '-Wl,-U,_jgraphics_translate_source_rgba' '-Wl,-U,_jgraphics_set_dash' '-Wl,-U,_jgraphics_set_fill_rule' '-Wl,-U,_jgraphics_get_fill_rule' '-Wl,-U,_jgraphics_set_line_cap' '-Wl,-U,_jgraphics_get_line_cap' '-Wl,-U,_jgraphics_set_line_join' '-Wl,-U,_jgraphics_get_line_join' '-Wl,-U,_jgraphics_set_line_width' '-Wl,-U,_jgraphics_get_line_width' '-Wl,-U,_jgraphics_paint' '-Wl,-U,_jgraphics_paint_with_alpha' '-Wl,-U,_jgraphics_fill' '-Wl,-U,_jgraphics_fill_preserve' '-Wl,-U,_jgraphics_fill_preserve_with_alpha' '-Wl,-U,_jgraphics_fill_with_alpha' '-Wl,-U,_jgraphics_stroke' '-Wl,-U,_jgraphics_stroke_preserve' '-Wl,-U,_jgraphics_stroke_preserve_with_alpha' '-Wl,-U,_jgraphics_stroke_with_alpha' '-Wl,-U,_get_boxcolor_index_from_jrgba' '-Wl,-U,_set_jrgba_from_palette_index' '-Wl,-U,_set_jrgba_from_boxcolor_index' '-Wl,-U,_jgraphics_clip_rgba' '-Wl,-U,_jpopupmenu_create' '-Wl,-U,_jpopupmenu_destroy' '-Wl,-U,_jpopupmenu_clear' '-Wl,-U,_jpopupmenu_default_options' '-Wl,-U,_jpopupmenu_setcolors' '-Wl,-U,_jpopupmenu_setfont' '-Wl,-U,_jpopupmenu_additem' '-Wl,-U,_jpopupmenu_additemwithshortcut' '-Wl,-U,_jpopupmenu_addsubmenu' '-Wl,-U,_jpopupmenu_addsubmenu_owned' '-Wl,-U,_jpopupmenu_addseparator' '-Wl,-U,_jpopupmenu_addseperator' '-Wl,-U,_jpopupmenu_addownerdrawitem' '-Wl,-U,_jpopupmenu_popup' '-Wl,-U,_jpopupmenu_popup_nearbox' '-Wl,-U,_jpopupmenu_popup_nearbox_with_options' '-Wl,-U,_jpopupmenu_popup_abovebox' '-Wl,-U,_jpopupmenu_popup_belowrect' '-Wl,-U,_jpopupmenu_popup_leftofpt' '-Wl,-U,_jpopupmenu_closeall' '-Wl,-U,_jpopupmenu_setstandardstyle' '-Wl,-U,_jpopupmenu_setfixedwidth' '-Wl,-U,_jmouse_getposition_global' '-Wl,-U,_jmouse_setposition_global' '-Wl,-U,_jmouse_setposition_view' '-Wl,-U,_jmouse_setposition_box' '-Wl,-U,_jmouse_setcursor' '-Wl,-U,_jmouse_setcursor_surface' '-Wl,-U,_dictionary_appendjrgba' '-Wl,-U,_dictionary_getdefjrgba' '-Wl,-U,_dictionary_gettrect' '-Wl,-U,_dictionary_appendtrect' '-Wl,-U,_dictionary_gettpt' '-Wl,-U,_dictionary_appendtpt' '-Wl,-U,_atomstojrgba' '-Wl,-U,_jrgbatoatoms' '-Wl,-U,_qd_new' '-Wl,-U,_qd_initialize' '-Wl,-U,_qd_copystate' '-Wl,-U,_qd_PenNormal' '-Wl,-U,_qd_RGBForeColor' '-Wl,-U,_qd_RGBBackColor' '-Wl,-U,_qd_BoxcolorIndexForeColor' '-Wl,-U,_qd_InsetTRect' '-Wl,-U,_qd_OffsetTRect' '-Wl,-U,_qd_EqualTRect' '-Wl,-U,_qd_JRGBAToRGBColor' '-Wl,-U,_qd_GetForeColor' '-Wl,-U,_qd_GetBackColor' '-Wl,-U,_qd_GetForeJColor' '-Wl,-U,_qd_GetBackJColor' '-Wl,-U,_qd_Black' '-Wl,-U,_qd_White' '-Wl,-U,_qd_MoveTo' '-Wl,-U,_qd_LineTo' '-Wl,-U,_qd_Line' '-Wl,-U,_qd_EraseRect' '-Wl,-U,_qd_TRectToRect' '-Wl,-U,_qd_RectToTRect' '-Wl,-U,_qd_RGBColorToJRGBA' '-Wl,-U,_qd_TRectToRectZero' '-Wl,-U,_qd_InsetRect' '-Wl,-U,_qd_OffsetRect' '-Wl,-U,_qd_PaintTRect' '-Wl,-U,_qd_PaintRect' '-Wl,-U,_qd_FrameRect' '-Wl,-U,_qd_PenSize' '-Wl,-U,_qd_Move' '-Wl,-U,_qd_SetBackJColor' '-Wl,-U,_qd_SetRect' '-Wl,-U,_qd_PaintOval' '-Wl,-U,_qd_FrameOval' '-Wl,-U,_qd_PaintRoundRect' '-Wl,-U,_qd_FrameRoundRect' '-Wl,-U,_qd_GetPenLoc' '-Wl,-U,_qd_GetCPixel' '-Wl,-U,_qd_SetCPixel' '-Wl,-U,_qd_PaintArc' '-Wl,-U,_qd_FrameArc' '-Wl,-U,_qd_SetForeJColor' '-Wl,-U,_qd_KillPoly' '-Wl,-U,_qd_PaintPoly' '-Wl,-U,_qd_ClosePoly' '-Wl,-U,_qd_OpenPoly' '-Wl,-U,_qd_LineSegment' '-Wl,-U,_qd_TPtInTRect' '-Wl,-U,_qd_FramePoly' '-Wl,-U,_qd_CloseRgn' '-Wl,-U,_qd_DisposeRgn' '-Wl,-U,_qd_FrameRgn' '-Wl,-U,_qd_OpenRgn' '-Wl,-U,_qd_PaintRgn' '-Wl,-U,_jmenu_init' '-Wl,-U,_jmenu_command_setstate' '-Wl,-U,_jmenu_process' '-Wl,-U,_jmenu_command_enable' '-Wl,-U,_jmenu_command_getstate' '-Wl,-U,_jmenu_command_invert' '-Wl,-U,_jmenu_command_invalidate' '-Wl,-U,_jmenu_command_settext' '-Wl,-U,_jmenu_new' '-Wl,-U,_jmenu_addsubmenu' '-Wl,-U,_jmenu_addseparator' '-Wl,-U,_jmenu_appenditem' '-Wl,-U,_jmenu_interface_fromfile' '-Wl,-U,_jmenu_clearenums' '-Wl,-U,_jmenu_command_setid' '-Wl,-U,_jmenu_enumerate_getfile' '-Wl,-U,_jmenu_enumerate_path' '-Wl,-U,_jmenu_enumerate_data' '-Wl,-U,_jmenu_lookup' '-Wl,-U,_jcolor_getcolor' '-Wl,-U,_jcolor_linkcolor' '-Wl,-U,_jcommand_lookup' '-Wl,-U,_jmenu_update' '-Wl,-U,_jmenu_command_enableall_fortarget' '-Wl,-U,_jmenu_proxy_popup' '-Wl,-U,_jmonitor_getnumdisplays' '-Wl,-U,_jmonitor_getdisplayrect_foralldisplays' '-Wl,-U,_jmonitor_getdisplayrect' '-Wl,-U,_jmonitor_getdisplayrect_forpoint' '-Wl,-U,_jmonitor_getdisplayscalefactor' '-Wl,-U,_jmonitor_getdisplayscalefactor_forpoint' '-Wl,-U,_jmonitor_scale_pt' '-Wl,-U,_jmonitor_unscale_pt' '-Wl,-U,_jkeyboard_getcurrentmodifiers' '-Wl,-U,_jbox_notify' '-Wl,-U,_jgraphics_attr_setrgba' '-Wl,-U,_jgraphics_attr_getrgba' '-Wl,-U,_jgraphics_attr_setrgb_alias' '-Wl,-U,_jcolumn_setcheckbox' '-Wl,-U,_jcolumn_setvaluemsg' '-Wl,-U,_jcolumn_setrowcomponentmsg' '-Wl,-U,_jcolumn_setmaxwidth' '-Wl,-U,_jcolumn_setminwidth' '-Wl,-U,_jcolumn_setwidth' '-Wl,-U,_jcolumn_setlabel' '-Wl,-U,_jcolumn_sethideable' '-Wl,-U,_jcolumn_setvisible' '-Wl,-U,_jcolumn_getvisible' '-Wl,-U,_jcolumn_setinitiallysorted' '-Wl,-U,_jcolumn_setnumeric' '-Wl,-U,_jcolumn_setoverridesort' '-Wl,-U,_jcolumn_setcustomsort' '-Wl,-U,_jcolumn_getid' '-Wl,-U,_jcolumn_update' '-Wl,-U,_jcolumn_getname' '-Wl,-U,_jcolumn_getreference' '-Wl,-U,_jcolumn_setdraggable' '-Wl,-U,_jcolumn_setindentspacing' '-Wl,-U,_jcolumn_setreference' '-Wl,-U,_jcolumn_setsortable' '-Wl,-U,_jcolumn_setcustompaint' '-Wl,-U,_jcolumn_setcellcluemsg' '-Wl,-U,_jcolumn_setcelltextcolormsg' '-Wl,-U,_jcolumn_setcelltextstylemsg' '-Wl,-U,_jdataview_addcolumn' '-Wl,-U,_jdataview_addcolumn_hidden' '-Wl,-U,_jdataview_addrows' '-Wl,-U,_jdataview_addrow' '-Wl,-U,_jdataview_clear' '-Wl,-U,_jdataview_containersizechange' '-Wl,-U,_jdataview_deletecolumn' '-Wl,-U,_jdataview_deleterows' '-Wl,-U,_jdataview_deleterow' '-Wl,-U,_jdataview_editcell' '-Wl,-U,_jdataview_forcecellvisible' '-Wl,-U,_jdataview_getfontname' '-Wl,-U,_jdataview_getfontsize' '-Wl,-U,_jdataview_gethorizscrollvalues' '-Wl,-U,_jdataview_getnamedcolumn' '-Wl,-U,_jdataview_getnthcolumn' '-Wl,-U,_jdataview_getnumcolumns' '-Wl,-U,_jdataview_getnumrows' '-Wl,-U,_jdataview_getvertscrollvalues' '-Wl,-U,_jdataview_resort' '-Wl,-U,_jdataview_restorecolumnwidths' '-Wl,-U,_jdataview_savecolumnwidths' '-Wl,-U,_jdataview_setautosizeright' '-Wl,-U,_jdataview_setautosizebottom' '-Wl,-U,_jdataview_setautosizerightcolumn' '-Wl,-U,_jdataview_setbordercolor' '-Wl,-U,_jdataview_setborderthickness' '-Wl,-U,_jdataview_setcolumnheadercluemsg' '-Wl,-U,_jdataview_setcolumnheaderheight' '-Wl,-U,_jdataview_setcustomselectcolor' '-Wl,-U,_jdataview_setdragenabled' '-Wl,-U,_jdataview_setdrawgrid' '-Wl,-U,_jdataview_setfontname' '-Wl,-U,_jdataview_setfontsize' '-Wl,-U,_jdataview_setheight' '-Wl,-U,_jdataview_sethorizscrollvalues' '-Wl,-U,_jdataview_setkeyfocusable' '-Wl,-U,_jdataview_setscrollvisible' '-Wl,-U,_jdataview_setselectcolor' '-Wl,-U,_jdataview_setrowcolor2' '-Wl,-U,_jdataview_setrowcolor1' '-Wl,-U,_jdataview_setusegradient' '-Wl,-U,_jdataview_setusesystemfont' '-Wl,-U,_jdataview_setvertscrollvalues' '-Wl,-U,_jdataview_setclient' '-Wl,-U,_jdataview_new' '-Wl,-U,_jdataview_newsection' '-Wl,-U,_jdataview_numsections' '-Wl,-U,_jdataview_getnthsection' '-Wl,-U,_jdataview_section_getnumrows' '-Wl,-U,_jdataview_section_getallrows' '-Wl,-U,_jdataview_section_isopen' '-Wl,-U,_jdataview_section_setopen' '-Wl,-U,_jdataview_getsectionopenness' '-Wl,-U,_jdataview_setsectionopenness' '-Wl,-U,_jdataview_section_headervisible' '-Wl,-U,_jdataview_section_setheadervisible' '-Wl,-U,_jdataview_section_getname' '-Wl,-U,_jdataview_section_geticon' '-Wl,-U,_jdataview_scrolltosection' '-Wl,-U,_jdataview_scrolltotop' '-Wl,-U,_jdataview_addrowtosection' '-Wl,-U,_jdataview_addrowstosection' '-Wl,-U,_jdataview_deleterowfromsection' '-Wl,-U,_jdataview_deleterowsfromsection' '-Wl,-U,_jdataview_deleteselectedrows' '-Wl,-U,_jdataview_deleteselectedrowsforview' '-Wl,-U,_jdataview_gettextinrows' '-Wl,-U,_jdataview_iscelltextselected' '-Wl,-U,_jdataview_selectedrowcountforview' '-Wl,-U,_jdataview_selectedrowcount' '-Wl,-U,_jdataview_getselectedrowsforview' '-Wl,-U,_jdataview_applytoselectedrows' '-Wl,-U,_jdataview_applytorows' '-Wl,-U,_jdataview_cellcut' '-Wl,-U,_jdataview_cellcopy' '-Wl,-U,_jdataview_cellpaste' '-Wl,-U,_jdataview_setcancopy' '-Wl,-U,_jdataview_getcancopy' '-Wl,-U,_jdataview_setcanpaste' '-Wl,-U,_jdataview_getcanpaste' '-Wl,-U,_jdataview_getsortcolumn' '-Wl,-U,_jdataview_sortcolumn' '-Wl,-U,_jdataview_redrawcolumn' '-Wl,-U,_jdataview_repaintforview' '-Wl,-U,_jdataview_obscuring' '-Wl,-U,_jdataview_id2colname' '-Wl,-U,_jdataview_colname2id' '-Wl,-U,_jdataview_enablecell' '-Wl,-U,_jdataview_enablerow' '-Wl,-U,_jdataview_colname_setvisible' '-Wl,-U,_jdataview_colname_getvisible' '-Wl,-U,_jdataview_colname_delete' '-Wl,-U,_jdataview_patchervis' '-Wl,-U,_jdataview_patcherinvis' '-Wl,-U,_jdataview_showrow' '-Wl,-U,_jdataview_redrawcell' '-Wl,-U,_jdataview_redrawrow' '-Wl,-U,_jdataview_row2id' '-Wl,-U,_jdataview_selectcell' '-Wl,-U,_jdataview_selectcellinview' '-Wl,-U,_jdataview_sort' '-Wl,-U,_jdataview_setusecharheightfont' '-Wl,-U,_jdialog_showtext' '-Wl,-U,_jdialog_show2button_async' '-Wl,-U,_jdialog_cancel_async' '-Wl,-U,_newobject_sprintf' '-Wl,-U,_itm_initclass' '-Wl,-U,_itm_new' '-Wl,-U,_itm_getglobal' '-Wl,-U,_itm_getnamed' '-Wl,-U,_itm_clocksource_getnamed' '-Wl,-U,_itm_getclocksources' '-Wl,-U,_itmclock_new' '-Wl,-U,_itm_poke' '-Wl,-U,_itm_gettime' '-Wl,-U,_itm_getticks' '-Wl,-U,_itmclock_delay' '-Wl,-U,_itmclock_set' '-Wl,-U,_itmclock_unset' '-Wl,-U,_itm_sync' '-Wl,-U,_itm_settimesignature' '-Wl,-U,_itm_seek' '-Wl,-U,_itm_pause' '-Wl,-U,_itm_resume' '-Wl,-U,_itm_setresolution' '-Wl,-U,_itm_reference' '-Wl,-U,_itm_dereference' '-Wl,-U,_itm_tickstobarbeatunits_timesig' '-Wl,-U,_itm_barbeatunitstoticks_timesig' '-Wl,-U,_itm_barbeatunitstoticks' '-Wl,-U,_itm_tickstobarbeatunits' '-Wl,-U,_itm_nextbeat' '-Wl,-U,_itm_nextunit' '-Wl,-U,_itm_parse' '-Wl,-U,_itm_deleteeventlist' '-Wl,-U,_itm_geteventlistnames' '-Wl,-U,_itm_switcheventlist' '-Wl,-U,_itm_gettimesignature' '-Wl,-U,_itm_getstate' '-Wl,-U,_itm_getresolution' '-Wl,-U,_itm_dump' '-Wl,-U,_itm_getfromarg' '-Wl,-U,_itm_getglobal' '-Wl,-U,_itm_getnamed' '-Wl,-U,_itm_getfromarg' '-Wl,-U,_itm_reference' '-Wl,-U,_itm_dereference' '-Wl,-U,_itm_deleteeventlist' '-Wl,-U,_itm_eventlistseek' '-Wl,-U,_itm_geteventlistnames' '-Wl,-U,_itm_switcheventlist' '-Wl,-U,_itm_gettime' '-Wl,-U,_itm_getticks' '-Wl,-U,_itm_dump' '-Wl,-U,_itm_sync' '-Wl,-U,_itm_settimesignature' '-Wl,-U,_itm_gettimesignature' '-Wl,-U,_itm_seek' '-Wl,-U,_itm_pause' '-Wl,-U,_itm_resume' '-Wl,-U,_itm_getstate' '-Wl,-U,_itm_setresolution' '-Wl,-U,_itm_getresolution' '-Wl,-U,_itm_getname' '-Wl,-U,_itm_parse' '-Wl,-U,_itm_tickstoms' '-Wl,-U,_itm_mstoticks' '-Wl,-U,_itm_mstosamps' '-Wl,-U,_itm_sampstoms' '-Wl,-U,_itm_barbeatunitstoticks' '-Wl,-U,_itm_tickstobarbeatunits' '-Wl,-U,_itm_format' '-Wl,-U,_itm_isunitfixed' '-Wl,-U,_itm_gettempo' '-Wl,-U,_itm_getsr' '-Wl,-U,_itmclock_new' '-Wl,-U,_itmclock_delay' '-Wl,-U,_itmclock_set' '-Wl,-U,_itmclock_unset' '-Wl,-U,_patcher_removedefault' '-Wl,-U,_patcher_setdefault' '-Wl,-U,_patcher_getdefault' '-Wl,-U,_patcher_removedefault' '-Wl,-U,_patcher_setdefault' '-Wl,-U,_patcher_boxname' '-Wl,-U,_atom_alloc_array' '-Wl,-U,_atomarray_decodebinarydata' '-Wl,-U,_jgraphics_write_image_surface_to_filedata' '-Wl,-U,_binarydata_appendtodictionary' '-Wl,-U,_patcherview_findpatcherview' '-Wl,-U,_jpatcher_resolvepatcher' '-Wl,-U,_jpatcher_resolvebox' '-Wl,-U,_jpatcher_resolvebox_ex' '-Wl,-U,_jpatcher_resolveobj' '-Wl,-U,_jpatcher_resolvebox_boxpath' '-Wl,-U,_jpatcher_resolveobj_boxpath' '-Wl,-U,_jwind_canfullscreen' '-Wl,-U,_jwind_getactive' '-Wl,-U,_jwind_getcount' '-Wl,-U,_jwind_getat' '-Wl,-U,_jwind_nextuntitled' '-Wl,-U,_jgraphics_rectangle_fill_fast' '-Wl,-U,_jgraphics_rectangle_draw_fast' '-Wl,-U,_jgraphics_line_draw_fast' '-Wl,-U,_atomarray_new' '-Wl,-U,_atomarray_flags' '-Wl,-U,_atomarray_getflags' '-Wl,-U,_atomarray_setatoms' '-Wl,-U,_atomarray_getatoms' '-Wl,-U,_atomarray_copyatoms' '-Wl,-U,_atomarray_getsize' '-Wl,-U,_atomarray_getindex' '-Wl,-U,_atomarray_duplicate' '-Wl,-U,_atomarray_clone' '-Wl,-U,_atomarray_clone_to_existing' '-Wl,-U,_atomarray_setatoms_clone' '-Wl,-U,_atomarray_appendatom' '-Wl,-U,_atomarray_appendatoms' '-Wl,-U,_atomarray_chuckindex' '-Wl,-U,_atomarray_clear' '-Wl,-U,_atomarray_funall' '-Wl,-U,_atomarray_dispose' '-Wl,-U,_atomarray_insertatom_atindex' '-Wl,-U,_atomarray_prependatom' '-Wl,-U,_atomarray_prependatoms' '-Wl,-U,_common_symbols_gettable' '-Wl,-U,_object_obex_storeflags' '-Wl,-U,_object_obex_enforce' '-Wl,-U,_object_attr_getjrgba' '-Wl,-U,_object_attr_setjrgba' '-Wl,-U,_jrgba_to_atoms' '-Wl,-U,_atoms_to_jrgba' '-Wl,-U,_jrgba_set' '-Wl,-U,_jrgba_copy' '-Wl,-U,_jrgba_compare' '-Wl,-U,_jrgba_attr_set' '-Wl,-U,_class_parameter_init' '-Wl,-U,_class_parameter_mappable' '-Wl,-U,_class_parameter_setinfo' '-Wl,-U,_class_parameter_getinfo' '-Wl,-U,_class_parameter_register_default_color' '-Wl,-U,_object_parameter_init' '-Wl,-U,_object_parameter_init_flags' '-Wl,-U,_object_parameter_dictionary_process' '-Wl,-U,_object_parameter_hasminmax_true' '-Wl,-U,_object_parameter_hasminmax_false' '-Wl,-U,_class_parameter_addmethod' '-Wl,-U,_parameter_default_int' '-Wl,-U,_parameter_default_float' '-Wl,-U,_parameter_default_anything' '-Wl,-U,_object_parameter_free' '-Wl,-U,_object_parameter_notify' '-Wl,-U,_object_parameter_getinfo' '-Wl,-U,_object_parameter_setinfo' '-Wl,-U,_object_parameter_string_get' '-Wl,-U,_object_parameter_stringtovalue' '-Wl,-U,_object_parameter_value_set' '-Wl,-U,_object_parameter_value_get' '-Wl,-U,_object_parameter_color_get' '-Wl,-U,_object_parameter_value_getvalueof' '-Wl,-U,_object_parameter_value_setvalueof' '-Wl,-U,_object_parameter_value_setvalueof_nonotify' '-Wl,-U,_object_parameter_value_changed' '-Wl,-U,_object_parameter_value_changed_nonotify' '-Wl,-U,_object_parameter_current_to_initial' '-Wl,-U,_object_parameter_is_initialized' '-Wl,-U,_object_parameter_is_in_Live' '-Wl,-U,_object_parameter_is_automated' '-Wl,-U,_object_parameter_wants_focus' '-Wl,-U,_object_parameter_is_parameter' '-Wl,-U,_object_parameter_get_order' '-Wl,-U,_object_parameter_is_in_maxtilde' '-Wl,-U,_object_parameter_getenable_savestate' '-Wl,-U,_live_default_color_count' '-Wl,-U,_live_default_color_string' '-Wl,-U,_live_default_dynamic_color_string' '-Wl,-U,_live_default_color_symbol' '-Wl,-U,_live_default_color_rgbastring' '-Wl,-U,_live_default_color_rgba' '-Wl,-U,_live_default_color_rgba_from_symbol' '-Wl,-U,_param_global_initializecolors' '-Wl,-U,_project_newfromdevicepatcher' '-Wl,-U,_remote_object_new_typed' '-Wl,-U,_remote_object_new_typed_flags' '-Wl,-U,_remote_object_get' '-Wl,-U,_remote_object_get_flags' '-Wl,-U,_remote_object_method_typed' '-Wl,-U,_remote_object_method_typed_flags' '-Wl,-U,_remote_object_attr_setvalueof' '-Wl,-U,_remote_object_attr_setvalueof_flags' '-Wl,-U,_remote_object_attr_getvalueof' '-Wl,-U,_remote_object_attr_getvalueof_flags' '-Wl,-U,_maxserver_getremoteurl' '-Wl,-U,_maxserver_getcontent' '-Wl,-U,_sysshmem_alloc' '-Wl,-U,_sysshmem_open' '-Wl,-U,_sysshmem_close' '-Wl,-U,_sysshmem_getsize' '-Wl,-U,_sysshmem_getptr' '-Wl,-U,_syssem_create' '-Wl,-U,_syssem_open' '-Wl,-U,_syssem_close' '-Wl,-U,_syssem_wait' '-Wl,-U,_syssem_trywait' '-Wl,-U,_syssem_post' '-Wl,-U,_sysprocess_isrunning' '-Wl,-U,_sysprocess_isrunning_with_returnvalue' '-Wl,-U,_sysprocess_kill' '-Wl,-U,_sysprocess_launch' '-Wl,-U,_sysprocess_launch_withflags' '-Wl,-U,_sysprocess_activate' '-Wl,-U,_sysprocess_getid' '-Wl,-U,_sysprocess_getcurrentid' '-Wl,-U,_sysprocess_getpath' '-Wl,-U,_sysprocesswatcher_new' '-Wl,-U,_sysprocess_fitsarch' '-Wl,-U,_object_retain' '-Wl,-U,_object_release' '-Wl,-U,_multigraph_add' '-Wl,-U,_multigraph_remove' '-Wl,-U,_multinode_resizeio' '-Wl,-U,_multinode_hasdescendant' '-Wl,-U,_multigraph_connect' '-Wl,-U,_multigraph_connect_relaxed' '-Wl,-U,_multigraph_disconnect' '-Wl,-U,_multigraph_disconnectnode' '-Wl,-U,_multigraph_dependency_chain' '-Wl,-U,_multigraph_new' '-Wl,-U,_multinode_new' '-Wl,-U,_multinode_connect' '-Wl,-U,_multinode_disconnect' '-Wl,-U,_multinode_iterfun' '-Wl,-U,_multinode_dependency_chain' '-Wl,-U,_multiedge_disconnect' '-Wl,-U,_multiedge_new' '-Wl,-U,_multigraph_scheduler_new' '-Wl,-U,_multigraph_scheduler_acquire' '-Wl,-U,_multigraph_scheduler_release' '-Wl,-U,_multigraph_scheduler_complete' '-Wl,-U,_multigraph_parallel_iterator_new' '-Wl,-U,_multigraph_parallel_iterator_free' '-Wl,-U,_multigraph_parallel_iterator_scheduler' '-Wl,-U,_multigraph_parallel_iterator_data' '-Wl,-U,_multigraph_parallel_iterator_execute' '-Wl,-U,_multigraph_parallel_iterator_workerproc' '-Wl,-U,_jpatcher_bulk_load_begin' '-Wl,-U,_jpatcher_bulk_load_end' '-Wl,-U,_jpatcher_load' '-Wl,-U,_jpatcher_load_frombuffer' '-Wl,-U,_jpatcher_load_fromdictionary' '-Wl,-U,_jpatcher_load_namespace' '-Wl,-U,_jpatcher_load_frombuffer_namespace' '-Wl,-U,_jpatcher_load_fromdictionary_namespace' '-Wl,-U,_jdesktopui_new' '-Wl,-U,_jdesktopui_destroy' '-Wl,-U,_jdesktopui_setvisible' '-Wl,-U,_jdesktopui_setalwaysontop' '-Wl,-U,_jdesktopui_setrect' '-Wl,-U,_jdesktopui_getrect' '-Wl,-U,_jdesktopui_setposition' '-Wl,-U,_jdesktopui_setfadetimes' '-Wl,-U,_jdesktopui_get_jgraphics' '-Wl,-U,_jdesktopui_redraw' '-Wl,-U,_jdesktopui_redrawrect' '-Wl,-U,_object_subscribe' '-Wl,-U,_object_unsubscribe' '-Wl,-U,_sysparallel_task_workercount' '-Wl,-U,_backgroundtask_execute' '-Wl,-U,_backgroundtask_execute_method' '-Wl,-U,_backgroundtask_purge_object' '-Wl,-U,_backgroundtask_join_object' '-Wl,-U,_backgroundtask_cancel' '-Wl,-U,_backgroundtask_join' '-Wl,-U,_jgraphics_image_surface_create_for_data_premult' '-Wl,-U,_jgraphics_create_zoomed' '-Wl,-U,_jgraphics_get_target' '-Wl,-U,_jgraphics_pop_group' '-Wl,-U,_jgraphics_get_group_target' '-Wl,-U,_jgraphics_pop_group_surface' '-Wl,-U,_syntax_addtoken' '-Wl,-U,_object_register_getnames' '-Wl,-U,_dictionary_clone_to_existing' '-Wl,-U,_dictionary_clone' '-Wl,-U,_dictionary_merge_to_existing' '-Wl,-U,_dictionary_copy_nonunique_to_existing' '-Wl,-U,_patcherdomain_namespace_init' '-Wl,-U,_patcherdomain_node_new' '-Wl,-U,_patcherdomain_node_free' '-Wl,-U,_patcherdomain_makeinlets' '-Wl,-U,_patcherdomain_makeoutlets' '-Wl,-U,_patcherdomain_inlets_resize' '-Wl,-U,_patcherdomain_outlets_resize' '-Wl,-U,_patcherdomain_freeinlets' '-Wl,-U,_patcherdomain_freeoutlets' '-Wl,-U,_patcherdomain_class_register' '-Wl,-U,_patcherdomain_simple_connectionaccept' '-Wl,-U,_patcherdomain_simple_patchlineupdate' '-Wl,-U,_inlet_delete' '-Wl,-U,_outlet_delete' '-Wl,-U,_proxy_append' '-Wl,-U,_proxy_insert' '-Wl,-U,_proxy_new_forinlet' '-Wl,-U,_proxy_delete' '-Wl,-U,_proxy_setinletptr' '-Wl,-U,_proxy_getinletptr' '-Wl,-U,_jgraphics_bubble' '-Wl,-U,_class_subclass' '-Wl,-U,_class_super_construct' '-Wl,-U,_class_super_construct_imp' '-Wl,-U,_object_super_method' '-Wl,-U,_object_super_method_imp' '-Wl,-U,_object_this_method' '-Wl,-U,_object_this_method_imp' '-Wl,-U,_object_obex_chuck' '-Wl,-U,_object_attr_touch' '-Wl,-U,_object_attr_touch_parse' '-Wl,-U,_object_method_direct_getmethod' '-Wl,-U,_object_method_direct_getobject' '-Wl,-U,_object_super_getmethod' '-Wl,-U,_object_typedwrapper_get' '-Wl,-U,_usergesture_begin' '-Wl,-U,_usergesture_end' '-Wl,-U,_usergesture_add_live_undo_subscriber' '-Wl,-U,_db_open' '-Wl,-U,_db_close' '-Wl,-U,_db_query' '-Wl,-U,_db_query_direct' '-Wl,-U,_db_query_silent' '-Wl,-U,_db_query_getlastinsertid' '-Wl,-U,_db_query_table_new' '-Wl,-U,_db_query_table_addcolumn' '-Wl,-U,_db_transaction_start' '-Wl,-U,_db_transaction_end' '-Wl,-U,_db_transaction_flush' '-Wl,-U,_db_view_create' '-Wl,-U,_db_view_remove' '-Wl,-U,_db_view_getresult' '-Wl,-U,_db_view_setquery' '-Wl,-U,_db_result_nextrecord' '-Wl,-U,_db_result_reset' '-Wl,-U,_db_result_clear' '-Wl,-U,_db_result_numrecords' '-Wl,-U,_db_result_numfields' '-Wl,-U,_db_result_fieldname' '-Wl,-U,_db_result_string' '-Wl,-U,_db_result_long' '-Wl,-U,_db_result_float' '-Wl,-U,_db_result_datetimeinseconds' '-Wl,-U,_db_util_stringtodate' '-Wl,-U,_db_util_datetostring' '-Wl,-U,_eventcontext_begin' '-Wl,-U,_eventcontext_end' '-Wl,-U,_eventcontext_get' '-Wl,-U,_eventcontext_set' '-Wl,-U,_collectionlist_read' '-Wl,-U,_collection_updatefromdictionary' '-Wl,-U,_collection_deletenamed' '-Wl,-U,_collection_renamenamed' '-Wl,-U,_collection_getallnames' '-Wl,-U,_schedule_queue_new' '-Wl,-U,_schedule_queue' '-Wl,-U,_lockfreequeue_free' '-Wl,-U,_lockfreequeue_new' '-Wl,-U,_lockfreequeue_pop' '-Wl,-U,_lockfreequeue_push' '-Wl,-U,_lockfreequeue_isempty' '-Wl,-U,_class_attr_setstyle' '-Wl,-U,_class_attr_style_alias' '-Wl,-U,_class_attr_setfill' '-Wl,-U,_class_addstyleattr' '-Wl,-U,_style_getmenu' '-Wl,-U,_style_handlemenu' '-Wl,-U,_dynamiccolor_getmenu' '-Wl,-U,_dynamiccolor_handlemenu' '-Wl,-U,_object_attr_getinherited' '-Wl,-U,_object_attr_setinherited' '-Wl,-U,_object_style_setfillattribute' '-Wl,-U,_class_attr_stylemap' '-Wl,-U,_object_attr_attrname_forstylemap' '-Wl,-U,_object_attr_stylemapname' '-Wl,-U,_jgraphics_triangle' '-Wl,-U,_jgraphics_jrgba_set_brightness' '-Wl,-U,_jpopupmenu_setstandardstyle' '-Wl,-U,_jgraphics_attr_setfill' '-Wl,-U,_jgraphics_attr_setfill_transformed' '-Wl,-U,_jgraphics_attr_fillrect' '-Wl,-U,_object_attr_getfillcolor_atposition' '-Wl,-U,_object_attr_getfill' '-Wl,-U,_jsvg_remap_create' '-Wl,-U,_jsvg_remap_destroy' '-Wl,-U,_jsvg_remap_addcolor' '-Wl,-U,_jsvg_remap_addsinglecolor' '-Wl,-U,_jsvg_remap_perform' '-Wl,-U,_jsvg_load_cached' '-Wl,-U,_jgraphics_draw_jsvg' '-Wl,-U,_objectcollection_addobject' '-Wl,-U,_objectcollection_addtext' '-Wl,-U,_ctopcpy' '-Wl,-U,_ptoccpy' '-Wl,-U,_pstrcpy' '-Wl,-U,_plug_getoptions' '-Wl,-U,_path_fromfsref' '-Wl,-U,_path_tofsref' '-Wl,-U,_fontinfo_prefcheckencoding' '-Wl,-U,_fontinfo_getencoding' '-Wl,-U,_fontinfo_reconverthandle' '-Wl,-U,_fontinfo_convert' '-Wl,-U,_rescopy' '-Wl,-U,_max_debug_is_debugger_attached' '-Wl,-U,_unibrowser_search_dosearch' '-Wl,-U,_unibrowser_search_autocomplete_dosearch' '-Wl,-U,_unibrowser_search_collection_getall' '-Wl,-U,_unibrowser_search_snippets_dosearch' '-Wl,-U,_unibrowser_search_getsnippetdictionary' '-Wl,-U,_snapshotwriter_addpayload' '-Wl,-U,_snapshotwriter_addlist' '-Wl,-U,_snapshotreader_from_dictionary' '-Wl,-U,_snapshotreader_from_userpath' '-Wl,-U,_snapshotreader_fitstype' '-Wl,-U,_snapshotreader_getpayload' '-Wl,-U,_snapshotreader_getlist' '-Wl,-U,_snapshotreader_haspayload' '-Wl,-U,_snapshotreader_haslist' '-Wl,-U,_snapshotreader_getname' '-Wl,-U,_snapshotreader_getorigin' '-Wl,-U,_snapshotlist_setup' '-Wl,-U,_snapshotlist_will_restore' '-Wl,-U,_snapshotlist_initial_restore' '-Wl,-U,_snapshotlist_momentary_snapshot' '-Wl,-U,_snapshotlist_devalidate_snapshot' '-Wl,-U,_snapshotlist_forceupdatefilesnapshots' '-Wl,-U,_snapshotlist_appendtodictionary' '-Wl,-U,_snapshotlist_getvalueof' '-Wl,-U,_snapshotlist_setvalueof' '-Wl,-U,_snapshotlist_fileusage' '-Wl,-U,_object_attr_obsolete_getter' '-Wl,-U,_object_attr_obsolete_setter' '-Wl,-U,_object_method_obsolete' '-Wl,-U,_updatepath_pathhaschanged' '-Wl,-U,_sysinfo_getosversion' '-Wl,-U,_object_attr_lock' '-Wl,-U,_object_attr_unlock' '-Wl,-U,_dictionary_transaction_lock' '-Wl,-U,_dictionary_transaction_unlock' '-Wl,-U,_charset_urlencode' '-Wl,-U,_jpatcher_setnextobexprototype' '-Wl,-U,_jpatcher_getnextobexprototype' '-Wl,-U,_sysinfo_gestalt_get_sysv' '-Wl,-U,_sysinfo_gestalt_get_sysvers' '-Wl,-U,_sysinfo_gestalt_get_systemversion' '-Wl,-U,_sysinfo_gestalt_get_pid' '-Wl,-U,_sysinfo_gestalt_get_processname' '-Wl,-U,_sysinfo_gestalt_get_processorcount' '-Wl,-U,_sysinfo_gestalt_get_physicalmemory' '-Wl,-U,_sysinfo_gestalt_get_hostname' '-Wl,-U,_sysinfo_gestalt_get_arguments' '-Wl,-U,_sysinfo_gestalt_get_environment' '-Wl,-U,_sysinfo_getappname' '-Wl,-U,_sysinfo_getarchitecture' '-Wl,-U,_jgraphics_path_getpointalongpath' '-Wl,-U,_jgraphics_path_getnearestpoint' '-Wl,-U,_jgraphics_path_getlength' '-Wl,-U,_class_attr_dynamiccolor_init' '-Wl,-U,_object_attr_dynamiccolor_supported' '-Wl,-U,_object_attr_dynamiccolor_setsym_setup' '-Wl,-U,_object_attr_dynamiccolor_getname' '-Wl,-U,_object_attr_dynamiccolor_setname' '-Wl,-U,_object_attr_dynamiccolor_geton' '-Wl,-U,_object_attr_dynamiccolor_seton' '-Wl,-U,_object_attr_dynamiccolor_getregular' '-Wl,-U,_object_attr_dynamiccolor_setregular' '-Wl,-U,_object_attr_dynamiccolor_getregularrgba' '-Wl,-U,_object_attr_dynamiccolor_setregularrgba' '-Wl,-U,_object_attr_dynamiccolor_gethumanname' '-Wl,-U,_object_attr_dynamiccolor_apply' '-Wl,-U,_filetypelist_file_matches' '-Wl,-U,_filetypelist_gettypes' '-Wl,-U,_filetypelist_addtypes' '-Wl,-U,_filetypelist_gettypesym' '-Wl,-U,_filetypelist_to_types_and_suffixes' '-Wl,-U,_filetypelist_from_types_and_suffixes' '-Wl,-U,_filetypelist_from_types' '-Wl,-U,_types_and_suffixes_setup' '-Wl,-U,_types_and_suffixes_cleanup' '-Wl,-U,_types_and_suffixes_free' '-Wl,-U,_fuzzy_floatcmp' '-Wl,-U,_copyatoms' '-Wl,-U,_cloneatoms'
================================================
FILE: install/mkl.cmake
================================================
find_package(MKL QUIET)
if(NOT TARGET caffe2::mkl)
add_library(caffe2::mkl INTERFACE IMPORTED)
endif()
target_include_directories(caffe2::mkl INTERFACE ${MKL_INCLUDE_DIR})
#target_link_libraries(caffe2::mkl INTERFACE ${MKL_LIBRARIES})
foreach(MKL_LIB IN LISTS MKL_LIBRARIES)
if(EXISTS "${MKL_LIB}")
get_filename_component(MKL_LINK_DIR "${MKL_LIB}" DIRECTORY)
if(IS_DIRECTORY "${MKL_LINK_DIR}")
target_link_directories(caffe2::mkl INTERFACE "${MKL_LINK_DIR}")
endif()
endif()
endforeach()
# TODO: This is a hack, it will not pick up architecture dependent
# MKL libraries correctly; see https://github.com/pytorch/pytorch/issues/73008
set_property(
TARGET caffe2::mkl PROPERTY INTERFACE_LINK_DIRECTORIES
${MKL_ROOT}/lib ${MKL_ROOT}/lib/intel64 ${MKL_ROOT}/lib/intel64_win ${MKL_ROOT}/lib/win-x64)
================================================
FILE: install/patch_with_vst.sh
================================================
#!/bin/bash
# Default values
pd=0
max=0
function print_help() {
echo "Usage: $0 [--pd_path[=val]] (default: ~/Documents/Pd) [--max[=val]] (by default, look in all ~/Documents/Max X/ ; if specified, look for externals sub-folder)"
}
# Parse arguments
while [[ $# -gt 0 ]]; do
case "$1" in
--pd=*)
pd=1
pd_path="${1#*=}"
shift
;;
--pd)
pd=1
shift
;;
--max=*)
max=1
max_path="${1#*=}"
shift
;;
--max)
max=1
shift
;;
--help|-h)
print_help
exit 0
;;
*)
echo "Unknown option: $1"
shift
;;
esac
done
function patch_max_external() {
find "$1" -name "nn_tilde" -type d -mindepth 2 -print0 | while IFS= read -r -d '' ext_dir; do
if [[ -d "$ext_dir/externals" ]]; then
echo "found nn_tilde at $ext_dir";
find "$ext_dir/externals" -name "*.mxo" -print0 | while IFS= read -r -d '' ext_path; do
# echo "found external at $ext_path";
ext_name=$(basename "$ext_path")
find "$ext_dir/support" -name "*.dylib" -print0 | while IFS= read -r -d '' dylib_path; do
dylib_name=$(basename "$dylib_path")
echo "fixing library : $dylib_name"
new_path="/Library/Application Support/ACIDS/RAVE/$dylib_name"
if [[ ! -e "$new_path" ]]; then
echo "[WARNING] library not found : $new_path. Patch may not work"
fi
install_name_tool -change "@loader_path/../../../../support/$dylib_name" "/Library/Application Support/ACIDS/RAVE/$dylib_name" "${ext_path}/Contents/MacOS/${ext_name%.*}" 2> /dev/null
done
codesign --deep --force --sign - "${ext_path}/Contents/MacOS/${ext_name%.*}"
done
fi
done
}
function patch_pd_external() {
ext_dir=$1
if [[ ! "$(basename $ext_dir)" == "nn_tilde" ]]; then
ext_dir="${ext_dir}/externals/nn_tilde"
fi
if [[ -e $(realpath $ext_dir) ]]; then
find "$ext_dir" -name "nn~.pd_*" -print0 | while IFS= read -r -d '' ext_path; do
ext_name=$(basename "$ext_path")
find "$ext_dir" -name "*.dylib" -print0 | while IFS= read -r -d '' dylib_path; do
dylib_name=$(basename "$dylib_path")
echo "fixing library : $dylib_name"
new_path="/Library/Application Support/ACIDS/RAVE/$dylib_name"
if [[ ! -e "$new_path" ]]; then
echo "[WARNING] library not found : $new_path. Patch may not work"
fi
echo install_name_tool -change "@rpath/$dylib_name" "/Library/Application Support/ACIDS/RAVE/$dylib_name" "${ext_path}" 2> /dev/null
done
codesign --deep --force --sign - "${ext_path}"
done
else
echo "folder $ext_dir not found".
fi
}
if [[ "$max" -eq 1 ]]; then
if [[ -n "$max_path" ]]; then
patch_max_external "$max_path"
else
find ~/Documents -maxdepth 1 -name "Max *" -type d -print0 | while IFS= read -r -d '' max_dir; do
if [[ -d $max_dir ]]; then
patch_max_external "$max_dir"
else
echo "$max_dir does not exists"
fi
done
fi
fi
if [[ "$pd" -eq 1 ]]; then
if [[ -n "$max_path" ]]; then
patch_pd_external "$pd_path"
else
patch_pd_external "$HOME/Documents/Pd"
fi
fi
================================================
FILE: package-info.json.in
================================================
{
"name" : "nn_tilde",
"displayname" : "nn~",
"version" : "${VERSION}",
"author" : "ACIDS",
"authors" : [ "Antoine Caillon", "Axel Chemla--Romeu-Santos", "Philippe Esling", "Nils Demerlé"],
"description" : "Max interfaces for deep neural generation",
"tags" : [ "audio", "ai", "neural synthesis"],
"website" : "http://www.github.com/acids-ircam/nn_tilde",
"extends" : "",
"extensible" : 1,
"max_version_min" : "8.0.2",
"max_version_max" : "none",
"os" : {
"macintosh" : {
"min_version" : "10.12.x",
"platform" : [ "x64", "aarch64" ]
}
,
"windows" : {
"min_version" : "7",
"platform" : [ "x64" ]
}
}
,
"homepatcher" : "help_hub.maxpat",
"package_extra" : {
}
,
"c74install" : 1,
"installdate" : 3745215604
}
================================================
FILE: python_tools/__init__.py
================================================
import pathlib
import torch
TMP_FILE_OUTPUT = pathlib.Path(__file__).parent / ".tmpfile"
from .buffer import Buffer
TYPE_HASH = {bool: 0, int: 1, float: 2, str: 3, torch.Tensor: 4, Buffer: 5}
from . import templates
from .module import Module
================================================
FILE: python_tools/buffer.py
================================================
import torch
from typing import List, Dict, Optional
class Buffer():
value: torch.Tensor
min_samples: int
max_samples: int
def __init__(self, tensor: Optional[torch.Tensor] = None,
min_samples: int = -1,
max_samples: int = -1,
sr: int | float | None = -1):
self.value = torch.tensor(0)
self.init_value()
if tensor is not None:
self.value = tensor
self.min_samples = min_samples
self.max_sa
gitextract_nq2axijl/
├── .github/
│ └── workflows/
│ ├── build.yaml
│ └── python-publish.yaml
├── .gitignore
├── .gitmodules
├── LICENSE
├── MANIFEST.in
├── README.md
├── docs/
│ └── index.md
├── extras/
│ ├── 01_nn_attributes.maxpat
│ └── generate_test_model.py
├── install/
│ ├── MaxAPI.lib
│ ├── dylib_fix.py
│ ├── macos_max_makeub.sh
│ ├── macos_pd_makeub.sh
│ ├── max-linker-flags.txt
│ ├── mkl.cmake
│ └── patch_with_vst.sh
├── package-info.json.in
├── python_tools/
│ ├── __init__.py
│ ├── buffer.py
│ ├── codegen.py
│ ├── module.py
│ ├── templates/
│ │ ├── __init__.py
│ │ ├── attributes.py
│ │ └── buffers.py
│ └── test/
│ ├── test_attributes.maxpat
│ ├── test_attributes.py
│ ├── test_buffers.py
│ ├── test_list_attributes.maxpat
│ └── utils.py
├── requirements.txt
├── requirements_darwin_x64.txt
├── scripting/
│ ├── README.md
│ ├── effects.py
│ ├── effects.ts
│ ├── features.py
│ ├── features.ts
│ ├── scripting.maxpat
│ └── unmix.py
├── setup.py
└── src/
├── .nojekyll
├── CMakeLists.txt
├── backend/
│ ├── CMakeLists.txt
│ ├── backend.cpp
│ ├── backend.h
│ ├── parsing_utils.cpp
│ └── parsing_utils.h
├── cmake/
│ └── add_torch.cmake
├── extras/
│ ├── nn~ Overview.maxpat
│ └── patch_with_vst.sh
├── frontend/
│ ├── maxmsp/
│ │ ├── mc.nn_tilde/
│ │ │ ├── CMakeLists.txt
│ │ │ └── mc.nn_tilde.cpp
│ │ ├── mcs.nn_tilde/
│ │ │ ├── CMakeLists.txt
│ │ │ └── mcs.nn_tilde.cpp
│ │ ├── nn.info/
│ │ │ ├── CMakeLists.txt
│ │ │ └── nn.info.cpp
│ │ ├── nn_tilde/
│ │ │ ├── CMakeLists.txt
│ │ │ ├── nn_tilde.cpp
│ │ │ ├── nn_tilde_test.cpp
│ │ │ └── nn~.maxhelp
│ │ └── shared/
│ │ ├── array_tools.h
│ │ ├── buffer_tools.h
│ │ ├── dict_utils.h
│ │ ├── max_model_download.h
│ │ └── nn_base.h
│ └── puredata/
│ ├── nn_tilde/
│ │ ├── CMakeLists.txt
│ │ ├── nn_tilde.cpp
│ │ └── nn~-help.pd
│ └── shared/
│ ├── pd_buffer_manager.h
│ └── pd_model_download.h
├── help/
│ ├── mc.nn~.maxhelp
│ ├── mcs.nn~.maxhelp
│ ├── nn.info.maxhelp
│ └── nn~.maxhelp
├── models/
│ ├── demo_attributes.ts
│ ├── demo_buffers.ts
│ ├── demo_mc.ts
│ ├── effects.ts
│ ├── features.ts
│ └── wavetable.ts
├── patchers/
│ ├── after_help.maxpat
│ ├── help_hub.maxpat
│ ├── latent_remote/
│ │ ├── M4L.latent_remote.js
│ │ ├── M4L.latent_remote.maxhelp
│ │ ├── M4L.latent_remote.maxpat
│ │ ├── M4L.latent_slider.maxhelp
│ │ ├── M4L.latent_slider.maxpat
│ │ ├── M4L.latent_slider_component.maxpat
│ │ ├── frand.maxpat
│ │ ├── ierf.gendsp
│ │ ├── latent_remote.js
│ │ ├── latent_remote.maxhelp
│ │ ├── latent_remote.maxpat
│ │ ├── latent_slider.maxhelp
│ │ ├── latent_slider.maxpat
│ │ └── latent_slider_component.maxpat
│ ├── rave_help.maxpat
│ ├── ts_help.maxpat
│ └── vschaos_help.maxpat
├── shared/
│ ├── circular_buffer.h
│ ├── model_download.h
│ └── static_buffer.h
└── source/
├── attributes.py
├── buffers.py
├── effects.py
├── features.py
└── unmix.py
SYMBOL INDEX (320 symbols across 37 files)
FILE: extras/generate_test_model.py
class AudioUtils (line 9) | class AudioUtils(nn_tilde.Module):
method __init__ (line 11) | def __init__(self):
method thru (line 96) | def thru(self, x: torch.Tensor):
method invert (line 101) | def invert(self, x: torch.Tensor):
method add (line 108) | def add(self, x: torch.Tensor):
method fractalize (line 112) | def fractalize(self, x: torch.Tensor):
method polynomial (line 119) | def polynomial(self, x: torch.Tensor):
method saturate (line 126) | def saturate(self, x: torch.Tensor):
method midside (line 134) | def midside(self, x: torch.Tensor):
method rms (line 139) | def rms(self, x: torch.Tensor):
method get_gain_factor (line 147) | def get_gain_factor(self) -> float:
method get_polynomial_factors (line 151) | def get_polynomial_factors(self) -> List[float]:
method get_saturate_mode (line 158) | def get_saturate_mode(self) -> str:
method get_invert_signal (line 162) | def get_invert_signal(self) -> bool:
method get_fractal (line 166) | def get_fractal(self) -> Tuple[int, float]:
method set_gain_factor (line 174) | def set_gain_factor(self, x: float) -> int:
method set_polynomial_factors (line 179) | def set_polynomial_factors(self, factor1: float, factor2: float,
method set_saturate_mode (line 186) | def set_saturate_mode(self, x: str):
method set_invert_signal (line 194) | def set_invert_signal(self, x: bool):
method set_fractal (line 199) | def set_fractal(self, factor: int, amount: float):
FILE: install/dylib_fix.py
function is_executable (line 26) | def is_executable(file_path):
function extract_rpaths (line 49) | def extract_rpaths(executable_path, replace_dynamic_paths = True):
function get_library_name (line 80) | def get_library_name(libname):
function get_dependencies (line 84) | def get_dependencies(filepath, dir_filter=[], lib_filter=[], rpath=None):
function get_architectures (line 116) | def get_architectures(file_path):
function get_find_results (line 132) | def get_find_results(directory, pattern):
function find_candidates_for (line 149) | def find_candidates_for(lib_name, lib_dir, lib_arch, allow_different_arc...
function find_most_relevant_dylib_candidate (line 181) | def find_most_relevant_dylib_candidate(name, candidates, accept_weak_mat...
function clean_rpath_for_target_executable (line 215) | def clean_rpath_for_target_executable(lib_path):
function most_relevant_lib (line 223) | def most_relevant_lib(lib_name, path_dicts, dep_paths=[], arch="arm64"):
function lib_from_exc_path (line 251) | def lib_from_exc_path(exc_path, lib_path):
function parse_actions_from_executable (line 260) | def parse_actions_from_executable(exec_path, dep_paths=[], main_dir = No...
function perform_action (line 327) | def perform_action(action, main_dir):
function print_action (line 392) | def print_action(idx, action):
FILE: python_tools/buffer.py
class Buffer (line 4) | class Buffer():
method __init__ (line 8) | def __init__(self, tensor: Optional[torch.Tensor] = None,
method check_bounds (line 20) | def check_bounds(self, x: torch.Tensor) -> bool:
method from_buffer (line 28) | def from_buffer(self, buffer: "Buffer"):
method copy (line 32) | def copy(buffer: "Buffer"):
method set_value (line 37) | def set_value(self, x: torch.Tensor, sr: int | float | None = None) ->...
method shape (line 49) | def shape(self) -> List[int]:
method has_value (line 56) | def has_value(self) -> bool:
method get_value (line 59) | def get_value(self) -> torch.Tensor:
method init_value (line 62) | def init_value(self) -> None:
method to_str (line 65) | def to_str(self) -> str:
FILE: python_tools/codegen.py
class TmpFileSession (line 7) | class TmpFileSession(object):
method __init__ (line 8) | def __init__(self, obj):
method get (line 10) | def get(self):
method close (line 15) | def close(self):
function tmp_file_session (line 23) | def tmp_file_session(obj):
function method_from_template (line 27) | def method_from_template(file_session: TmpFileSession, template: str, gl...
FILE: python_tools/module.py
class Module (line 16) | class Module(torch.nn.Module):
method __init__ (line 18) | def __init__(self, sr: int | None = None) -> None:
method register_method (line 27) | def register_method(
method register_attribute (line 140) | def register_attribute(self, attribute_name: str,
method get_methods (line 178) | def get_methods(self):
method get_attributes (line 182) | def get_attributes(self) -> List[str]:
method export_to_ts (line 185) | def export_to_ts(self, path):
method get_buffer_attributes (line 192) | def get_buffer_attributes(self) -> List[str]:
method is_buffer_empty (line 199) | def is_buffer_empty(self, buffer_name: str) -> bool:
method get_sample_rate (line 213) | def get_sample_rate(self) -> int:
method set_sample_rate (line 227) | def set_sample_rate(self, sample_rate: int | None) -> None:
method __prepare_scriptable__ (line 232) | def __prepare_scriptable__(self):
method finish (line 237) | def finish(self):
method _build_buffer_attribute_methods (line 242) | def _build_buffer_attribute_methods(self):
method _build_missing_attribute_callbacks (line 267) | def _build_missing_attribute_callbacks(self):
method __del__ (line 291) | def __del__(self):
FILE: python_tools/templates/attributes.py
function _get_sig_type (line 7) | def _get_sig_type(param):
function get_attribute_setter (line 19) | def get_attribute_setter(attribute_name, attribute_params):
function get_attribute_getter (line 34) | def get_attribute_getter(attribute_name, attribute_params):
FILE: python_tools/templates/buffers.py
function set_buffer_attribute_template (line 3) | def set_buffer_attribute_template(buffer_names):
function clear_buffer_attribute_template (line 17) | def clear_buffer_attribute_template(buffer_names):
function is_buffer_empty_template (line 30) | def is_buffer_empty_template(buffer_names):
FILE: python_tools/test/test_attributes.py
class AttributeFoo (line 13) | class AttributeFoo(Module):
method __init__ (line 14) | def __init__(self):
method forward (line 24) | def forward(self, x: torch.Tensor):
class ListAttributeFoo (line 31) | class ListAttributeFoo(Module):
method __init__ (line 32) | def __init__(self, n: int, attribute_type: type):
method forward (line 43) | def forward(self, x):
function _default (line 49) | def _default(attr_hash: int):
class TensorAttributeFoo (line 62) | class TensorAttributeFoo(Module):
method __init__ (line 63) | def __init__(self):
method forward (line 70) | def forward(self, x: torch.Tensor):
function test_attributes (line 78) | def test_attributes(module_class, out_dir, test_name):
function test_list_attributes (line 94) | def test_list_attributes(n, attr_type, module_class, out_dir, test_name):
function test_list_attributes (line 107) | def test_list_attributes(n, attr_type, module_class, out_dir, test_name):
function test_tensor_attributes (line 117) | def test_tensor_attributes(module_class, out_dir, test_name):
FILE: python_tools/test/test_buffers.py
class BufferFoo (line 12) | class BufferFoo(Module):
method __init__ (line 14) | def __init__(self, test_method: bool = False):
method get_loudness (line 22) | def get_loudness(self, x: torch.Tensor) -> float:
method loudness (line 26) | def loudness(self, x: torch.Tensor):
method shape (line 35) | def shape(self, x: torch.Tensor):
method get_sr (line 51) | def get_sr(self, x: torch.Tensor):
function test_buffer_attributes (line 64) | def test_buffer_attributes(module_class, out_dir, test_name):
function test_scripted_buffer_attributes (line 75) | def test_scripted_buffer_attributes(module_class, out_dir, test_name):
FILE: python_tools/test/utils.py
function out_dir (line 9) | def out_dir() -> Path:
function test_name (line 16) | def test_name(request):
function import_code (line 19) | def import_code(code, glob, loc):
FILE: scripting/effects.py
class AudioUtils (line 16) | class AudioUtils(nn_tilde.Module):
method __init__ (line 18) | def __init__(self):
method thru (line 103) | def thru(self, x: torch.Tensor):
method invert (line 108) | def invert(self, x: torch.Tensor):
method add (line 115) | def add(self, x: torch.Tensor):
method fractalize (line 119) | def fractalize(self, x: torch.Tensor):
method polynomial (line 126) | def polynomial(self, x: torch.Tensor):
method saturate (line 133) | def saturate(self, x: torch.Tensor):
method midside (line 141) | def midside(self, x: torch.Tensor):
method rms (line 146) | def rms(self, x: torch.Tensor):
method get_gain_factor (line 154) | def get_gain_factor(self) -> float:
method get_polynomial_factors (line 158) | def get_polynomial_factors(self) -> List[float]:
method get_saturate_mode (line 165) | def get_saturate_mode(self) -> str:
method get_invert_signal (line 169) | def get_invert_signal(self) -> bool:
method get_fractal (line 173) | def get_fractal(self) -> Tuple[int, float]:
method set_gain_factor (line 181) | def set_gain_factor(self, x: float) -> int:
method set_polynomial_factors (line 186) | def set_polynomial_factors(self, factor1: float, factor2: float,
method set_saturate_mode (line 193) | def set_saturate_mode(self, x: str):
method set_invert_signal (line 201) | def set_invert_signal(self, x: bool):
method set_fractal (line 206) | def set_fractal(self, factor: int, amount: float):
FILE: scripting/features.py
class AudioFeatures (line 21) | class AudioFeatures(nn_tilde.Module):
method __init__ (line 23) | def __init__(self,
method _compute_spectrogram (line 91) | def _compute_spectrogram(self, x: torch.Tensor):
method rms (line 107) | def rms(self, x: torch.Tensor):
method centroid (line 113) | def centroid(self, x: torch.Tensor):
method bandwidth (line 126) | def bandwidth(self, x: torch.Tensor, amin: float = 1e-10, power: float...
method flatness (line 145) | def flatness(self, x: torch.Tensor, amin: float = 1e-10, power: float ...
method get_sr (line 158) | def get_sr(self) -> int:
method set_sr (line 166) | def set_sr(self, x: int) -> int:
FILE: scripting/unmix.py
class Unmix (line 23) | class Unmix(nn_tilde.Module):
method __init__ (line 25) | def __init__(self,
method forward (line 44) | def forward(self, input: torch.Tensor):
method get_sr (line 55) | def get_sr(self) -> int:
method set_sr (line 63) | def set_sr(self, x: int) -> int:
function preprocess (line 67) | def preprocess(
FILE: src/backend/backend.cpp
function tensor_to_str (line 17) | std::string tensor_to_str(torch::Tensor &tsr) {
function ModelInfo (line 567) | ModelInfo Backend::get_model_info() {
FILE: src/backend/backend.h
type MethodProperties (line 11) | struct MethodProperties {
type AttributeProperties (line 19) | struct AttributeProperties {
type ModelInfo (line 24) | struct ModelInfo {
type LockedModel (line 31) | struct LockedModel {
function class (line 37) | class Backend {
FILE: src/backend/parsing_utils.cpp
function to_bool (line 3) | bool to_bool(std::string str) {
function to_int (line 11) | int to_int(std::string str) { return stoi(str); }
function to_float (line 13) | float to_float(std::string str) { return stof(str); }
FILE: src/frontend/maxmsp/mc.nn_tilde/mc.nn_tilde.cpp
function model_perform (line 6) | void model_perform(nn_class* nn_instance) {
function model_perform_async (line 22) | void model_perform_async(nn_class* nn_instance) {
class mc_nn (line 71) | class mc_nn: public nn_base<mc_nn, mc_operator<>> {
method get_external_name (line 79) | static std::string get_external_name() { return "mc.nn~";}
method mc_nn (line 80) | mc_nn(const atoms &args = {}) {
method get_sample_rate (line 84) | int get_sample_rate() override {
method init_external (line 88) | void init_external(const atoms &args) override {
method init_buffers_at_init (line 109) | bool init_buffers_at_init() override { return true; }
function simplemc_multichanneloutputs (line 359) | long simplemc_multichanneloutputs(c74::max::t_object *x, long index,
function simplemc_inputchanged (line 365) | long simplemc_inputchanged(c74::max::t_object *x, long index, long count) {
FILE: src/frontend/maxmsp/mcs.nn_tilde/mcs.nn_tilde.cpp
function model_perform (line 6) | void model_perform(nn_class* nn_instance) {
function model_perform_async (line 22) | void model_perform_async(nn_class* nn_instance) {
class mcs_nn (line 71) | class mcs_nn: public nn_base<mcs_nn, mc_operator<>> {
method get_external_name (line 79) | static std::string get_external_name() { return "mcs.nn~";}
method mcs_nn (line 80) | mcs_nn(const atoms &args = {}) {
method get_sample_rate (line 84) | int get_sample_rate() override {
method init_external (line 88) | void init_external(const atoms &args) override {
method n_mc_inputs (line 104) | int n_mc_inputs() {
method update_out_channels (line 119) | void update_out_channels() {
function simplemc_multichanneloutputs (line 446) | long simplemc_multichanneloutputs(c74::max::t_object *x, long index,
function simplemc_inputchanged (line 452) | long simplemc_inputchanged(c74::max::t_object *x, long index, long count) {
FILE: src/frontend/maxmsp/nn.info/nn.info.cpp
class nn_info (line 18) | class nn_info : public object<nn_info>, public vector_operator<> {
method perform (line 59) | void perform(audio_bundle input, audio_bundle output) {}
function bang_callback (line 102) | message<> bang_callback{
function dump_callback (line 111) | message<> dump_callback{
function set_model_callback (line 119) | message<> set_model_callback{
function get_path_callback (line 131) | message<> get_path_callback {
function get_methods_callback (line 139) | message<> get_methods_callback {
function get_attributes_callback (line 147) | message<> get_attributes_callback {
function get_params_callback (line 156) | message<> get_params_callback {
function get_dict_callback (line 176) | message<> get_dict_callback {
function get_models_callback (line 185) | message<> get_models_callback {
function download_models (line 194) | message <> download_models {
function delete_models (line 221) | message <> delete_models {
FILE: src/frontend/maxmsp/nn_tilde/nn_tilde.cpp
function model_perform (line 5) | void model_perform(nn_class* nn_instance) {
function model_perform_async (line 22) | void model_perform_async(nn_class *nn_instance) {
class nn (line 67) | class nn: public nn_base<nn, vector_operator<>> {
method get_external_name (line 75) | static std::string get_external_name() {
method nn (line 78) | nn(const atoms &args = {}) {
method get_sample_rate (line 82) | int get_sample_rate() override {
method init_process (line 86) | void init_process() override {
method init_external (line 93) | void init_external(const atoms &args) override {
FILE: src/frontend/maxmsp/shared/array_tools.h
function namespace (line 10) | namespace ArrayTools {
FILE: src/frontend/maxmsp/shared/buffer_tools.h
function class (line 7) | class BufferManager {
function get_buffer_index (line 52) | int BufferManager::get_buffer_index(std::vector<std::string> buffer_attr...
function link_attribute_to_buffer (line 63) | void BufferManager::link_attribute_to_buffer(std::string buffer_name, c7...
function append_if_buffer_element (line 72) | void BufferManager::append_if_buffer_element(Backend *model, Backend::Bu...
function bind_buffer_attribute (line 127) | int BufferManager::bind_buffer_attribute(Backend *backend, std::string e...
function unbind_buffer_attribute (line 156) | int BufferManager::unbind_buffer_attribute(Backend *backend, std::string...
function modify_buffer_attribute (line 180) | int BufferManager::modify_buffer_attribute(Backend *backend, std::string...
function init_buffer_list (line 231) | void BufferManager::init_buffer_list(Backend *backend, c74::min::object_...
FILE: src/frontend/maxmsp/shared/dict_utils.h
function namespace (line 6) | namespace nn_tools {
function json_walk (line 55) | void json_walk(max::t_dictionary* dict, nlohmann::json json) {
function else (line 63) | else if (val.is_number_float()) {
function else (line 65) | else if (val.is_string()) {
function else (line 67) | else if (val.is_array()) {
FILE: src/frontend/maxmsp/shared/max_model_download.h
function class (line 26) | class MaxModelDownloader: public ModelDownloader {
function print_to_parent (line 82) | void MaxModelDownloader::print_to_parent(const std::string &message, con...
function fill_dict (line 88) | void MaxModelDownloader::fill_dict(void* dict_to_fill) {
FILE: src/frontend/maxmsp/shared/nn_base.h
function power_ceil (line 47) | unsigned power_ceil(unsigned x) {
function std (line 70) | static std::string get_external_name() { return ""; }
function virtual (line 83) | virtual void init_external(const atoms &args) {
function virtual (line 96) | virtual bool init_buffers_at_init() { return true; }
function can_perform (line 111) | bool can_perform() {
function virtual (line 141) | virtual void perform(audio_bundle input, audio_bundle output) { }
FILE: src/frontend/puredata/nn_tilde/nn_tilde.cpp
function get_executable_path (line 47) | std::string get_executable_path()
function get_executable_path (line 68) | std::string get_executable_path()
function get_executable_path (line 79) | std::string get_executable_path()
function power_ceil (line 101) | unsigned power_ceil(unsigned x)
type _nn_tilde (line 113) | struct _nn_tilde
class PdErrorCatcher (line 152) | class PdErrorCatcher
method PdErrorCatcher (line 159) | PdErrorCatcher(t_nn_tilde *obj) : x(obj)
function model_perform (line 177) | void model_perform(t_nn_tilde *x)
function t_int (line 192) | t_int *nn_tilde_perform(t_int *w)
function nn_tilde_dsp (line 238) | void nn_tilde_dsp(t_nn_tilde *x, t_signal **sp)
function nn_tilde_free (line 277) | void nn_tilde_free(t_nn_tilde *x)
function resolve_file_path (line 283) | std::string resolve_file_path(t_nn_tilde *x, const char *filename)
function create_buffers (line 316) | void create_buffers(t_nn_tilde *x, int in_dim, int out_dim)
function nn_tilde_update_model_params (line 348) | bool nn_tilde_update_model_params(t_nn_tilde *x, t_symbol *method)
function nn_tilde_load_model (line 409) | bool nn_tilde_load_model(t_nn_tilde *x, const char *path)
function nn_tilde_bang (line 455) | void nn_tilde_bang(t_nn_tilde *x)
function nn_tilde_method (line 623) | void nn_tilde_method(t_nn_tilde *x, t_symbol *s)
function nn_tilde_bufsize (line 641) | void nn_tilde_bufsize(t_nn_tilde *x, t_floatarg size)
function nn_tilde_load (line 672) | void nn_tilde_load(t_nn_tilde *x, t_symbol *s)
function nn_tilde_gpu (line 695) | void nn_tilde_gpu(t_nn_tilde *x, t_floatarg arg)
function nn_tilde_enable (line 718) | void nn_tilde_enable(t_nn_tilde *x, t_floatarg arg) { x->m_enabled = (bo...
function nn_tilde_reload (line 719) | void nn_tilde_reload(t_nn_tilde *x) { x->m_model->reload(); }
function nn_tilde_set (line 721) | void nn_tilde_set(t_nn_tilde *x, t_symbol *s, int argc, t_atom *argv)
function nn_tilde_available_models (line 778) | void nn_tilde_available_models(t_nn_tilde *x)
function nn_tilde_download (line 807) | void nn_tilde_download(t_nn_tilde *x, t_symbol *s, int argc, t_atom *argv)
function nn_tilde_remove (line 848) | void nn_tilde_remove(t_nn_tilde *x, t_symbol *s)
function startup_message (line 865) | void startup_message()
function EXPORT (line 884) | EXPORT void nn_tilde_setup(void)
FILE: src/frontend/puredata/shared/pd_model_download.h
function print_to_parent (line 23) | void print_to_parent(const std::string &message, const std::string &cana...
function fill_dict (line 72) | void fill_dict(void *dict_to_fill) override
FILE: src/patchers/latent_remote/M4L.latent_remote.js
function make_presentation_layout (line 29) | function make_presentation_layout() {
function sliders (line 48) | function sliders(n_sliders) {
function max_columns (line 114) | function max_columns(n_columns) {
function update_patching_rect (line 124) | function update_patching_rect() {
function slider_check_size (line 136) | function slider_check_size() {
function clear (line 146) | function clear() {
function faders (line 155) | function faders() {
function faders_all (line 165) | function faders_all() {
function fader (line 176) | function fader() {
function dump_all (line 187) | function dump_all() {
FILE: src/patchers/latent_remote/latent_remote.js
function make_presentation_layout (line 29) | function make_presentation_layout() {
function sliders (line 48) | function sliders(n_sliders) {
function max_columns (line 114) | function max_columns(n_columns) {
function update_patching_rect (line 124) | function update_patching_rect() {
function slider_check_size (line 136) | function slider_check_size() {
function clear (line 146) | function clear() {
function faders (line 155) | function faders() {
function faders_all (line 165) | function faders_all() {
function fader (line 176) | function fader() {
function dump_all (line 187) | function dump_all() {
FILE: src/shared/circular_buffer.h
function max_size (line 14) | size_t max_size() { return _max_size; }
FILE: src/shared/model_download.h
function JSONWriteCallback (line 21) | size_t JSONWriteCallback(void* contents, size_t size, size_t nmemb, std:...
function ModelWriteCallback (line 27) | size_t ModelWriteCallback(void* ptr, size_t size, size_t nmemb, FILE* st...
function is_file_empty (line 31) | bool is_file_empty(const fs::path filePath) {
function class (line 42) | class ModelDownloader {
function has_valid_certificate (line 120) | bool ModelDownloader::has_valid_certificate() {
function init_downloader (line 140) | int ModelDownloader::init_downloader(bool force_refresh) {
function is_ready (line 150) | bool ModelDownloader::is_ready() {
function update_available_models (line 158) | bool ModelDownloader::update_available_models() {
function reload (line 189) | void ModelDownloader::reload() {
function create_path (line 204) | bool ModelDownloader::create_path(const fs::path& path) {
FILE: src/shared/static_buffer.h
function BufferShape (line 42) | BufferShape dims () {
function sr (line 46) | double sr() { return _samplingRate; }
function BufferData (line 48) | static BufferData get_empty_buffer(const size_t dim1, const size_t dim2) {
function clear (line 52) | void clear() {
function reset (line 56) | void reset() {
function at (line 65) | float& at(const size_t dim1, const size_t dim2) {
function put (line 69) | void put(data_type data, const size_t dim1, const size_t dim2) {
FILE: src/source/attributes.py
class AttributeFoo (line 12) | class AttributeFoo(nn_tilde.Module):
method __init__ (line 13) | def __init__(self):
method set_attr_enum (line 26) | def set_attr_enum(self, animal: str) -> int:
method set_attr_list (line 35) | def set_attr_list(self, val1: int, val2: str, val3: float, val4: bool):
method forward (line 42) | def forward(self, x: torch.Tensor):
FILE: src/source/buffers.py
class BufferFoo (line 12) | class BufferFoo(nn_tilde.Module):
method __init__ (line 14) | def __init__(self, test_method: bool = False):
method get_loudness (line 24) | def get_loudness(self, x: torch.Tensor) -> float:
method loudness (line 28) | def loudness(self, x: torch.Tensor):
method shape (line 37) | def shape(self, x: torch.Tensor):
method get_sr (line 53) | def get_sr(self, x: torch.Tensor):
FILE: src/source/effects.py
class AudioUtils (line 15) | class AudioUtils(nn_tilde.Module):
method __init__ (line 17) | def __init__(self):
method thru (line 102) | def thru(self, x: torch.Tensor):
method invert (line 107) | def invert(self, x: torch.Tensor):
method add (line 114) | def add(self, x: torch.Tensor):
method fractalize (line 118) | def fractalize(self, x: torch.Tensor):
method polynomial (line 125) | def polynomial(self, x: torch.Tensor):
method saturate (line 132) | def saturate(self, x: torch.Tensor):
method midside (line 140) | def midside(self, x: torch.Tensor):
method rms (line 145) | def rms(self, x: torch.Tensor):
method get_gain_factor (line 153) | def get_gain_factor(self) -> float:
method get_polynomial_factors (line 157) | def get_polynomial_factors(self) -> List[float]:
method get_saturate_mode (line 164) | def get_saturate_mode(self) -> str:
method get_invert_signal (line 168) | def get_invert_signal(self) -> bool:
method get_fractal (line 172) | def get_fractal(self) -> Tuple[int, float]:
method set_gain_factor (line 180) | def set_gain_factor(self, x: float) -> int:
method set_polynomial_factors (line 185) | def set_polynomial_factors(self, factor1: float, factor2: float,
method set_saturate_mode (line 192) | def set_saturate_mode(self, x: str):
method set_invert_signal (line 200) | def set_invert_signal(self, x: bool):
method set_fractal (line 205) | def set_fractal(self, factor: int, amount: float):
FILE: src/source/features.py
class AudioFeatures (line 27) | class AudioFeatures(nn_tilde.Module):
method __init__ (line 29) | def __init__(self,
method _compute_spectrogram (line 97) | def _compute_spectrogram(self, x: torch.Tensor):
method rms (line 113) | def rms(self, x: torch.Tensor):
method centroid (line 119) | def centroid(self, x: torch.Tensor):
method bandwidth (line 132) | def bandwidth(self, x: torch.Tensor, amin: float = 1e-10, power: float...
method flatness (line 151) | def flatness(self, x: torch.Tensor, amin: float = 1e-10, power: float ...
FILE: src/source/unmix.py
class Unmix (line 23) | class Unmix(nn_tilde.Module):
method __init__ (line 25) | def __init__(self,
method forward (line 44) | def forward(self, input: torch.Tensor):
method get_sr (line 55) | def get_sr(self) -> int:
method set_sr (line 63) | def set_sr(self, x: int) -> int:
function preprocess (line 67) | def preprocess(
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"path": "install/macos_pd_makeub.sh",
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"preview": "TARGET_DIR=$1\nif [ -z $TARGET_DIR ]; then\n TARGET_DIR=\"nn_tilde\"\nfi\n\necho \"${TARGET_DIR}\"\n\nif [[ ! -d \"${TARGET_DIR}_"
},
{
"path": "install/max-linker-flags.txt",
"chars": 75412,
"preview": "'-Wl,-U,_addbang' '-Wl,-U,_addfloat' '-Wl,-U,_addftx' '-Wl,-U,_addint' '-Wl,-U,_addinx' '-Wl,-U,_addmess' '-Wl,-U,_advis"
},
{
"path": "install/mkl.cmake",
"chars": 827,
"preview": "find_package(MKL QUIET)\n\nif(NOT TARGET caffe2::mkl)\n add_library(caffe2::mkl INTERFACE IMPORTED)\nendif()\n\ntarget_includ"
},
{
"path": "install/patch_with_vst.sh",
"chars": 3634,
"preview": "#!/bin/bash\n\n# Default values\npd=0\nmax=0\n\nfunction print_help() {\n echo \"Usage: $0 [--pd_path[=val]] (default: ~/Docu"
},
{
"path": "package-info.json.in",
"chars": 753,
"preview": "{\n\t\"name\" : \"nn_tilde\",\n\t\"displayname\" : \"nn~\",\n\t\"version\" : \"${VERSION}\",\n\t\"author\" : \"ACIDS\",\n\t\"authors\" : [ \"Antoine "
},
{
"path": "python_tools/__init__.py",
"chars": 244,
"preview": "\nimport pathlib\nimport torch\nTMP_FILE_OUTPUT = pathlib.Path(__file__).parent / \".tmpfile\"\nfrom .buffer import Buffer\nTYP"
},
{
"path": "python_tools/buffer.py",
"chars": 2130,
"preview": "import torch\nfrom typing import List, Dict, Optional\n\nclass Buffer():\n value: torch.Tensor\n min_samples: int\n "
},
{
"path": "python_tools/codegen.py",
"chars": 926,
"preview": "import os\nimport shutil\nimport uuid\nfrom . import TMP_FILE_OUTPUT \n\n\nclass TmpFileSession(object):\n def __init__(self"
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{
"path": "python_tools/module.py",
"chars": 11327,
"preview": "import inspect\nimport logging\nfrom typing import Any, List, Optional, Sequence, Tuple, Union\nfrom types import MethodTy"
},
{
"path": "python_tools/templates/__init__.py",
"chars": 48,
"preview": "from .buffers import *\nfrom .attributes import *"
},
{
"path": "python_tools/templates/attributes.py",
"chars": 1753,
"preview": "\nimport torch\nfrom .. import TYPE_HASH, Buffer\n\nTYPE_HASH_R = {v: k for k, v in TYPE_HASH.items()}\n\ndef _get_sig_type(pa"
},
{
"path": "python_tools/templates/buffers.py",
"chars": 1903,
"preview": "\n\ndef set_buffer_attribute_template(buffer_names):\n template = \"@torch.jit.export\\ndef set_buffer_attribute(self, buf"
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"path": "python_tools/test/test_attributes.maxpat",
"chars": 6538,
"preview": "{\n\t\"patcher\" : \t{\n\t\t\"fileversion\" : 1,\n\t\t\"appversion\" : \t\t{\n\t\t\t\"major\" : 8,\n\t\t\t\"minor\" : 6,\n\t\t\t\"revision\" : 5,\n\t\t\t\"archi"
},
{
"path": "python_tools/test/test_attributes.py",
"chars": 4394,
"preview": "import sys, os\nimport torch\nimport pytest\nfrom pathlib import Path\n\nsys.path.append(str(Path(__file__).parent / \"..\" / \""
},
{
"path": "python_tools/test/test_buffers.py",
"chars": 2868,
"preview": "import sys, os\nimport torch\nimport pytest\nfrom pathlib import Path\n\nsys.path.append(str(Path(__file__).parent / \"..\" / \""
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"path": "python_tools/test/test_list_attributes.maxpat",
"chars": 11648,
"preview": "{\n\t\"patcher\" : \t{\n\t\t\"fileversion\" : 1,\n\t\t\"appversion\" : \t\t{\n\t\t\t\"major\" : 8,\n\t\t\t\"minor\" : 6,\n\t\t\t\"revision\" : 5,\n\t\t\t\"archi"
},
{
"path": "python_tools/test/utils.py",
"chars": 850,
"preview": "import os\nimport importlib\nimport time\nimport sys\nimport pytest\nfrom pathlib import Path\n\n@pytest.fixture\ndef out_dir() "
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"path": "requirements.txt",
"chars": 29,
"preview": "torch==2.5\ncached_conv>=2.5.0"
},
{
"path": "requirements_darwin_x64.txt",
"chars": 25,
"preview": "torch1\ncached_conv>=2.5.0"
},
{
"path": "scripting/README.md",
"chars": 692,
"preview": "# Scripting examples in nn~\n\nThese examples demonstrate how to write simple scripts to incorporate any type of deep mode"
},
{
"path": "scripting/effects.py",
"chars": 6624,
"preview": "#\n# NN~ - Scripting library\n# effects.py : Intermediate scripting example for waveform-to-waveform case.\n#\n# We provide "
},
{
"path": "scripting/features.py",
"chars": 6322,
"preview": "#\n# NN~ - Scripting library\n# features.py : Simple scripting example for waveform-to-float case.\n#\n# We demonstrate the "
},
{
"path": "scripting/scripting.maxpat",
"chars": 20698,
"preview": "{\n\t\"patcher\" : \t{\n\t\t\"fileversion\" : 1,\n\t\t\"appversion\" : \t\t{\n\t\t\t\"major\" : 9,\n\t\t\t\"minor\" : 0,\n\t\t\t\"revision\" : 2,\n\t\t\t\"archi"
},
{
"path": "scripting/unmix.py",
"chars": 9294,
"preview": "#\n# NN~ - Scripting library\n# unmix.py : Advanced scripting example for integrating a deep waveform-to-waveform model.\n#"
},
{
"path": "setup.py",
"chars": 877,
"preview": "import os\n\nimport setuptools\n\nVERSION = os.environ[\"NN_TILDE_VERSION\"]\n\nwith open(\"README.md\", \"r\") as readme:\n readm"
},
{
"path": "src/.nojekyll",
"chars": 0,
"preview": ""
},
{
"path": "src/CMakeLists.txt",
"chars": 3018,
"preview": "cmake_minimum_required(VERSION 3.10 FATAL_ERROR)\nproject(nn_tilde)\n\nset(CMAKE_POSITION_INDEPENDENT_CODE ON)\n\nconfigure_f"
},
{
"path": "src/backend/CMakeLists.txt",
"chars": 586,
"preview": "cmake_minimum_required(VERSION 3.10 FATAL_ERROR)\nproject(backend)\n\nset(CMAKE_CXX_FLAGS \"${CMAKE_CXX_FLAGS} ${TORCH_CXX_F"
},
{
"path": "src/backend/backend.cpp",
"chars": 19955,
"preview": "#include \"backend.h\"\n#include <exception>\n#include \"parsing_utils.h\"\n#include <algorithm>\n#include <iostream>\n#include <"
},
{
"path": "src/backend/backend.h",
"chars": 3529,
"preview": "#pragma once\n#include <mutex>\n#include <string>\n#include <torch/script.h>\n#include \"../shared/static_buffer.h\"\n#include "
},
{
"path": "src/backend/parsing_utils.cpp",
"chars": 259,
"preview": "#include \"parsing_utils.h\"\n\nbool to_bool(std::string str) {\n if ((str == \"0\") || (str == \"false\")) {\n return false;\n"
},
{
"path": "src/backend/parsing_utils.h",
"chars": 201,
"preview": "#pragma once\n#include <algorithm>\n#include <cctype>\n#include <iomanip>\n#include <sstream>\n#include <string>\n\nbool to_boo"
},
{
"path": "src/cmake/add_torch.cmake",
"chars": 4505,
"preview": "set(torch_dir ${CMAKE_CURRENT_BINARY_DIR}/../torch)\nset(torch_lib_name torch)\n\nmessage(\"first looking for lib in : ${tor"
},
{
"path": "src/extras/nn~ Overview.maxpat",
"chars": 378,
"preview": "{\n\t\"patcher\" : \t{\n\t\t\"fileversion\" : 1,\n\t\t\"appversion\" : \t\t{\n\t\t\t\"major\" : 9,\n\t\t\t\"minor\" : 0,\n\t\t\t\"revision\" : 0,\n\t\t\t\"archi"
},
{
"path": "src/extras/patch_with_vst.sh",
"chars": 3634,
"preview": "#!/bin/bash\n\n# Default values\npd=0\nmax=0\n\nfunction print_help() {\n echo \"Usage: $0 [--pd_path[=val]] (default: ~/Docu"
},
{
"path": "src/frontend/maxmsp/mc.nn_tilde/CMakeLists.txt",
"chars": 2914,
"preview": "# Copyright 2018 The Min-DevKit Authors. All rights reserved.\n# Use of this source code is governed by the MIT License f"
},
{
"path": "src/frontend/maxmsp/mc.nn_tilde/mc.nn_tilde.cpp",
"chars": 12432,
"preview": "#include \"../shared/nn_base.h\"\n#include \"c74_min.h\"\n\n\ntemplate <typename nn_class>\nvoid model_perform(nn_class* nn_insta"
},
{
"path": "src/frontend/maxmsp/mcs.nn_tilde/CMakeLists.txt",
"chars": 2973,
"preview": "# Copyright 2018 The Min-DevKit Authors. All rights reserved.\n# Use of this source code is governed by the MIT License f"
},
{
"path": "src/frontend/maxmsp/mcs.nn_tilde/mcs.nn_tilde.cpp",
"chars": 16101,
"preview": "#include \"../shared/nn_base.h\"\n#include \"c74_min.h\"\n\n\ntemplate <typename nn_class>\nvoid model_perform(nn_class* nn_insta"
},
{
"path": "src/frontend/maxmsp/nn.info/CMakeLists.txt",
"chars": 2968,
"preview": "# Copyright 2018 The Min-DevKit Authors. All rights reserved.\n# Use of this source code is governed by the MIT License f"
},
{
"path": "src/frontend/maxmsp/nn.info/nn.info.cpp",
"chars": 14110,
"preview": "#include \"../../../backend/backend.h\"\n#include \"../shared/max_model_download.h\"\n#include \"../shared/buffer_tools.h\"\n#inc"
},
{
"path": "src/frontend/maxmsp/nn_tilde/CMakeLists.txt",
"chars": 3198,
"preview": "# Copyright 2018 The Min-DevKit Authors. All rights reserved.\n# Use of this source code is governed by the MIT License f"
},
{
"path": "src/frontend/maxmsp/nn_tilde/nn_tilde.cpp",
"chars": 6099,
"preview": "#include \"../shared/nn_base.h\"\n#include \"c74_min.h\"\n\ntemplate <typename nn_class>\nvoid model_perform(nn_class* nn_instan"
},
{
"path": "src/frontend/maxmsp/nn_tilde/nn_tilde_test.cpp",
"chars": 918,
"preview": "#include \"c74_min.h\"\n#include \"c74_min_unittest.h\"\n#include \"nn_tilde.cpp\"\n#include <iostream>\n\nSCENARIO(\"object produce"
},
{
"path": "src/frontend/maxmsp/nn_tilde/nn~.maxhelp",
"chars": 52492,
"preview": "{\n\t\"patcher\" : \t{\n\t\t\"fileversion\" : 1,\n\t\t\"appversion\" : \t\t{\n\t\t\t\"major\" : 8,\n\t\t\t\"minor\" : 6,\n\t\t\t\"revision\" : 5,\n\t\t\t\"archi"
},
{
"path": "src/frontend/maxmsp/shared/array_tools.h",
"chars": 4425,
"preview": "#include \"ext.h\"\t\t\t\t\t\t\t// standard Max include, always required\n#include \"ext_obex.h\"\t\t\t\t\t\t// required for new style Max"
},
{
"path": "src/frontend/maxmsp/shared/buffer_tools.h",
"chars": 10691,
"preview": "#pragma once\n#include \"array_tools.h\"\n#include \"../../../backend/backend.h\"\n#include \"../../../shared/static_buffer.h\"\n#"
},
{
"path": "src/frontend/maxmsp/shared/dict_utils.h",
"chars": 4628,
"preview": "#pragma once\n#include \"c74_min.h\"\n#include <nlohmann/json.hpp>\n#include \"../../../backend/backend.h\"\n\nnamespace nn_tools"
},
{
"path": "src/frontend/maxmsp/shared/max_model_download.h",
"chars": 3074,
"preview": "#pragma once\n\n#include <cstdio>\n#include <filesystem>\n#include <iostream>\n#include <string>\n#include <curl/curl.h>\n#incl"
},
{
"path": "src/frontend/maxmsp/shared/nn_base.h",
"chars": 25966,
"preview": "\n#include <chrono>\n#include <semaphore>\n#include <string>\n#include <thread>\n#include <vector>\n#include <algorithm>\n#incl"
},
{
"path": "src/frontend/puredata/nn_tilde/CMakeLists.txt",
"chars": 8621,
"preview": "cmake_minimum_required(VERSION 3.10)\nproject(nn_tilde_pd)\n\nset(CMAKE_CXX_STANDARD 20)\nset(CMAKE_CXX_STANDARD_REQUIRED ON"
},
{
"path": "src/frontend/puredata/nn_tilde/nn_tilde.cpp",
"chars": 24596,
"preview": "\n#include <stdio.h>\n#include <stdlib.h>\n\n#include <limits.h>\n#include <memory>\n#include <mutex>\n#include <exception>\n#in"
},
{
"path": "src/frontend/puredata/nn_tilde/nn~-help.pd",
"chars": 7742,
"preview": "#N canvas 9 53 1467 851 12;\n#X obj 10 51 cnv 1 960 1 empty empty empty 8 12 0 13 #000000 #000000 0;\n#X obj 22 18 nn~;\n#X"
},
{
"path": "src/frontend/puredata/shared/pd_buffer_manager.h",
"chars": 3498,
"preview": "#pragma once\n#include \"m_pd.h\"\n#include \"../../../backend/backend.h\"\n#include \"../../../shared/static_buffer.h\"\n\n#ifndef"
},
{
"path": "src/frontend/puredata/shared/pd_model_download.h",
"chars": 2139,
"preview": "#pragma once\n#include \"m_pd.h\"\n#include \"../../../shared/model_download.h\"\n\nnamespace fs = std::filesystem;\n\ntemplate <t"
},
{
"path": "src/help/mc.nn~.maxhelp",
"chars": 53112,
"preview": "{\n\t\"patcher\" : \t{\n\t\t\"fileversion\" : 1,\n\t\t\"appversion\" : \t\t{\n\t\t\t\"major\" : 8,\n\t\t\t\"minor\" : 6,\n\t\t\t\"revision\" : 5,\n\t\t\t\"archi"
},
{
"path": "src/help/mcs.nn~.maxhelp",
"chars": 48141,
"preview": "{\n\t\"patcher\" : \t{\n\t\t\"fileversion\" : 1,\n\t\t\"appversion\" : \t\t{\n\t\t\t\"major\" : 8,\n\t\t\t\"minor\" : 6,\n\t\t\t\"revision\" : 5,\n\t\t\t\"archi"
},
{
"path": "src/help/nn.info.maxhelp",
"chars": 14357,
"preview": "{\n\t\"patcher\" : \t{\n\t\t\"fileversion\" : 1,\n\t\t\"appversion\" : \t\t{\n\t\t\t\"major\" : 9,\n\t\t\t\"minor\" : 0,\n\t\t\t\"revision\" : 0,\n\t\t\t\"archi"
},
{
"path": "src/help/nn~.maxhelp",
"chars": 159111,
"preview": "{\n\t\"patcher\" : \t{\n\t\t\"fileversion\" : 1,\n\t\t\"appversion\" : \t\t{\n\t\t\t\"major\" : 8,\n\t\t\t\"minor\" : 6,\n\t\t\t\"revision\" : 5,\n\t\t\t\"archi"
},
{
"path": "src/patchers/after_help.maxpat",
"chars": 664,
"preview": "{\n\t\"patcher\" : \t{\n\t\t\"fileversion\" : 1,\n\t\t\"appversion\" : \t\t{\n\t\t\t\"major\" : 9,\n\t\t\t\"minor\" : 0,\n\t\t\t\"revision\" : 0,\n\t\t\t\"archi"
},
{
"path": "src/patchers/help_hub.maxpat",
"chars": 790577,
"preview": "{\n\t\"patcher\" : \t{\n\t\t\"fileversion\" : 1,\n\t\t\"appversion\" : \t\t{\n\t\t\t\"major\" : 9,\n\t\t\t\"minor\" : 0,\n\t\t\t\"revision\" : 0,\n\t\t\t\"archi"
},
{
"path": "src/patchers/latent_remote/M4L.latent_remote.js",
"chars": 6548,
"preview": "inlets = 1;\noutlets = 1;\n\nvar MAX_SLIDERS = 64;\nvar CURRENT_SLIDERS = 1;\nvar MAX_COLUMNS = 8;\nvar SLIDER_X_MARGIN = 4; \n"
},
{
"path": "src/patchers/latent_remote/M4L.latent_remote.maxhelp",
"chars": 17701,
"preview": "{\n\t\"patcher\" : \t{\n\t\t\"fileversion\" : 1,\n\t\t\"appversion\" : \t\t{\n\t\t\t\"major\" : 8,\n\t\t\t\"minor\" : 6,\n\t\t\t\"revision\" : 5,\n\t\t\t\"archi"
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{
"path": "src/patchers/latent_remote/M4L.latent_remote.maxpat",
"chars": 8199,
"preview": "{\n\t\"patcher\" : \t{\n\t\t\"fileversion\" : 1,\n\t\t\"appversion\" : \t\t{\n\t\t\t\"major\" : 8,\n\t\t\t\"minor\" : 6,\n\t\t\t\"revision\" : 5,\n\t\t\t\"archi"
},
{
"path": "src/patchers/latent_remote/M4L.latent_slider.maxhelp",
"chars": 19727,
"preview": "{\n\t\"patcher\" : \t{\n\t\t\"fileversion\" : 1,\n\t\t\"appversion\" : \t\t{\n\t\t\t\"major\" : 8,\n\t\t\t\"minor\" : 6,\n\t\t\t\"revision\" : 5,\n\t\t\t\"archi"
},
{
"path": "src/patchers/latent_remote/M4L.latent_slider.maxpat",
"chars": 19363,
"preview": "{\n\t\"patcher\" : \t{\n\t\t\"fileversion\" : 1,\n\t\t\"appversion\" : \t\t{\n\t\t\t\"major\" : 8,\n\t\t\t\"minor\" : 6,\n\t\t\t\"revision\" : 5,\n\t\t\t\"archi"
},
{
"path": "src/patchers/latent_remote/M4L.latent_slider_component.maxpat",
"chars": 112088,
"preview": "{\n\t\"patcher\" : \t{\n\t\t\"fileversion\" : 1,\n\t\t\"appversion\" : \t\t{\n\t\t\t\"major\" : 8,\n\t\t\t\"minor\" : 6,\n\t\t\t\"revision\" : 5,\n\t\t\t\"archi"
},
{
"path": "src/patchers/latent_remote/frand.maxpat",
"chars": 2589,
"preview": "{\n\t\"patcher\" : \t{\n\t\t\"fileversion\" : 1,\n\t\t\"appversion\" : \t\t{\n\t\t\t\"major\" : 8,\n\t\t\t\"minor\" : 6,\n\t\t\t\"revision\" : 5,\n\t\t\t\"archi"
},
{
"path": "src/patchers/latent_remote/ierf.gendsp",
"chars": 2620,
"preview": "{\n\t\"patcher\" : \t{\n\t\t\"fileversion\" : 1,\n\t\t\"appversion\" : \t\t{\n\t\t\t\"major\" : 8,\n\t\t\t\"minor\" : 6,\n\t\t\t\"revision\" : 0,\n\t\t\t\"archi"
},
{
"path": "src/patchers/latent_remote/latent_remote.js",
"chars": 6546,
"preview": "inlets = 1;\noutlets = 1;\n\nvar MAX_SLIDERS = 64;\nvar CURRENT_SLIDERS = 1;\nvar MAX_COLUMNS = 8;\nvar SLIDER_X_MARGIN = 10; "
},
{
"path": "src/patchers/latent_remote/latent_remote.maxhelp",
"chars": 17701,
"preview": "{\n\t\"patcher\" : \t{\n\t\t\"fileversion\" : 1,\n\t\t\"appversion\" : \t\t{\n\t\t\t\"major\" : 8,\n\t\t\t\"minor\" : 6,\n\t\t\t\"revision\" : 5,\n\t\t\t\"archi"
},
{
"path": "src/patchers/latent_remote/latent_remote.maxpat",
"chars": 9022,
"preview": "{\n\t\"patcher\" : \t{\n\t\t\"fileversion\" : 1,\n\t\t\"appversion\" : \t\t{\n\t\t\t\"major\" : 8,\n\t\t\t\"minor\" : 6,\n\t\t\t\"revision\" : 5,\n\t\t\t\"archi"
},
{
"path": "src/patchers/latent_remote/latent_slider.maxhelp",
"chars": 19727,
"preview": "{\n\t\"patcher\" : \t{\n\t\t\"fileversion\" : 1,\n\t\t\"appversion\" : \t\t{\n\t\t\t\"major\" : 8,\n\t\t\t\"minor\" : 6,\n\t\t\t\"revision\" : 5,\n\t\t\t\"archi"
},
{
"path": "src/patchers/latent_remote/latent_slider.maxpat",
"chars": 22225,
"preview": "{\n\t\"patcher\" : \t{\n\t\t\"fileversion\" : 1,\n\t\t\"appversion\" : \t\t{\n\t\t\t\"major\" : 8,\n\t\t\t\"minor\" : 6,\n\t\t\t\"revision\" : 5,\n\t\t\t\"archi"
},
{
"path": "src/patchers/latent_remote/latent_slider_component.maxpat",
"chars": 114390,
"preview": "{\n\t\"patcher\" : \t{\n\t\t\"fileversion\" : 1,\n\t\t\"appversion\" : \t\t{\n\t\t\t\"major\" : 8,\n\t\t\t\"minor\" : 6,\n\t\t\t\"revision\" : 5,\n\t\t\t\"archi"
},
{
"path": "src/patchers/rave_help.maxpat",
"chars": 149869,
"preview": "{\n\t\"patcher\" : \t{\n\t\t\"fileversion\" : 1,\n\t\t\"appversion\" : \t\t{\n\t\t\t\"major\" : 9,\n\t\t\t\"minor\" : 0,\n\t\t\t\"revision\" : 0,\n\t\t\t\"archi"
},
{
"path": "src/patchers/ts_help.maxpat",
"chars": 16155,
"preview": "{\n\t\"patcher\" : \t{\n\t\t\"fileversion\" : 1,\n\t\t\"appversion\" : \t\t{\n\t\t\t\"major\" : 9,\n\t\t\t\"minor\" : 0,\n\t\t\t\"revision\" : 0,\n\t\t\t\"archi"
},
{
"path": "src/patchers/vschaos_help.maxpat",
"chars": 852807,
"preview": "{\n\t\"patcher\" : \t{\n\t\t\"fileversion\" : 1,\n\t\t\"appversion\" : \t\t{\n\t\t\t\"major\" : 9,\n\t\t\t\"minor\" : 0,\n\t\t\t\"revision\" : 0,\n\t\t\t\"archi"
},
{
"path": "src/shared/circular_buffer.h",
"chars": 2182,
"preview": "#pragma once\n#include <memory>\n\ntemplate <class in_type, class out_type> class circular_buffer {\npublic:\n circular_buff"
},
{
"path": "src/shared/model_download.h",
"chars": 13747,
"preview": "#pragma once\n\n#include <cstdio>\n#include <filesystem>\n#include <iostream>\n#include <string>\n#include <curl/curl.h>\n#incl"
},
{
"path": "src/shared/static_buffer.h",
"chars": 1800,
"preview": "#pragma once\n#include <vector>\n#include <torch/torch.h>\n\n\ntemplate <typename data_type> \nclass StaticBuffer {\n\npublic:\n "
},
{
"path": "src/source/attributes.py",
"chars": 1923,
"preview": "try: \n import nn_tilde\nexcept ImportError: \n import os, sys\n sys.path.append(os.path.join(os.path.dirname(__fil"
},
{
"path": "src/source/buffers.py",
"chars": 2247,
"preview": "try: \n import nn_tilde\nexcept ImportError: \n import os, sys\n sys.path.append(os.path.join(os.path.dirname(__fil"
},
{
"path": "src/source/effects.py",
"chars": 6497,
"preview": "try: \n import nn_tilde\nexcept ImportError: \n import os, sys\n sys.path.append(os.path.join(os.path.dirname(__fil"
},
{
"path": "src/source/features.py",
"chars": 6039,
"preview": "#\n# NN~ - Scripting library\n# features.py : Simple scripting example for waveform-to-float case.\n#\n# We demonstrate the "
},
{
"path": "src/source/unmix.py",
"chars": 9294,
"preview": "#\n# NN~ - Scripting library\n# unmix.py : Advanced scripting example for integrating a deep waveform-to-waveform model.\n#"
}
]
// ... and 9 more files (download for full content)
About this extraction
This page contains the full source code of the acids-ircam/nn_tilde GitHub repository, extracted and formatted as plain text for AI agents and large language models (LLMs). The extraction includes 107 files (2.9 MB), approximately 764.5k tokens, and a symbol index with 320 extracted functions, classes, methods, constants, and types. Use this with OpenClaw, Claude, ChatGPT, Cursor, Windsurf, or any other AI tool that accepts text input. You can copy the full output to your clipboard or download it as a .txt file.
Extracted by GitExtract — free GitHub repo to text converter for AI. Built by Nikandr Surkov.