From 9a0beb39b05bd9dd0a4724b5ddd025737415f7c7 Mon Sep 17 00:00:00 2001 From: Karl Hayek Date: Mon, 7 Apr 2025 15:18:53 +0000 Subject: [PATCH 1/3] Add support for Python 3.12 and drop 3.8 --- .github/CONTRIBUTING.md | 5 +- .github/PULL_REQUEST_TEMPLATE.md | 3 +- .github/workflows/conda.yml | 4 +- .github/workflows/docker.yml | 12 +- .github/workflows/pypi.yml | 2 +- .github/workflows/test.yml | 6 +- CHANGELOG.md | 7 + README.md | 6 +- conda/spleeter/meta.yaml | 6 +- docker/conda.dockerfile | 2 +- docker/cuda-10-0.dockerfile | 22 +- docker/cuda-10-1.dockerfile | 24 +- docker/cuda-9.2.dockerfile | 10 +- docker/spleeter-conda.dockerfile | 2 +- docker/spleeter.dockerfile | 4 +- poetry.lock | 1737 ++++++++++++++++-------------- pyproject.toml | 31 +- spleeter/__main__.py | 16 +- spleeter/model/__init__.py | 55 +- spleeter/separator.py | 19 +- 20 files changed, 1004 insertions(+), 969 deletions(-) diff --git a/.github/CONTRIBUTING.md b/.github/CONTRIBUTING.md index b4d9e8063..096259820 100644 --- a/.github/CONTRIBUTING.md +++ b/.github/CONTRIBUTING.md @@ -36,6 +36,7 @@ Following command should be ran successfully before to consider a PR for merging ```bash poetry run pytest tests/ -poetry run black spleeter -poetry run isort spleeter +qa-clean: +poetry run ruff check --fix spleeter +poetry run ruff format spleeter ``` diff --git a/.github/PULL_REQUEST_TEMPLATE.md b/.github/PULL_REQUEST_TEMPLATE.md index d02dc2e4e..ed27b2b91 100644 --- a/.github/PULL_REQUEST_TEMPLATE.md +++ b/.github/PULL_REQUEST_TEMPLATE.md @@ -13,8 +13,7 @@ A few sentences describing the overall goals of the pull request's commits. You tested it, right? - [ ] I implemented unit test whicn ran successfully using `poetry run pytest tests/` -- [ ] Code has been formatted using `poetry run black spleeter` -- [ ] Imports has been formatted using `poetry run isort spleeter`` +- [ ] Code has been formatted using `poetry run ruff format spleeter` ## Documentation link and external references diff --git a/.github/workflows/conda.yml b/.github/workflows/conda.yml index 32222bdba..6476ee297 100644 --- a/.github/workflows/conda.yml +++ b/.github/workflows/conda.yml @@ -5,7 +5,7 @@ jobs: build-linux: strategy: matrix: - python: [3.7, 3.8] + python: [3.9, 3.10, 3.11, 3.12] runs-on: ubuntu-latest steps: - uses: actions/checkout@v2 @@ -31,7 +31,7 @@ jobs: build-windows: strategy: matrix: - python: [3.7] + python: [3.0, 3.10, 3.11, 3.12] runs-on: windows-latest steps: - uses: actions/checkout@v2 diff --git a/.github/workflows/docker.yml b/.github/workflows/docker.yml index 3f69aad0e..a5bb18131 100644 --- a/.github/workflows/docker.yml +++ b/.github/workflows/docker.yml @@ -5,13 +5,13 @@ on: version: description: "Spleeter version to build image for" required: true - default: "2.1.2" + default: "2.5.0" jobs: cuda-base: runs-on: ubuntu-latest strategy: matrix: - distribution: [3.6, 3.7, 3.8] + distribution: [3.9, 3.10, 3.11, 3.12] fail-fast: true steps: - uses: actions/checkout@v2 @@ -31,7 +31,7 @@ jobs: strategy: matrix: platform: [cpu, gpu] - distribution: [3.6, 3.7, 3.8] + distribution: [3.9, 3.10, 3.11, 3.12] fail-fast: true steps: - uses: actions/checkout@v2 @@ -50,7 +50,7 @@ jobs: --build-arg SPLEETER_VERSION=${{ github.event.inputs.version }} \ -t deezer/${{ env.image }}:${{ matrix.distribution }} \ -f docker/spleeter.dockerfile . - - if: ${{ matrix.distribution == '3.8' }} + - if: ${{ matrix.distribution == '3.11' }} run: | docker tag deezer/${{ env.image }}:${{ matrix.distribution }} deezer/${{ env.image }}:latest - name: Test deezer/${{ env.image }}:${{ matrix.distribution }} image @@ -80,7 +80,7 @@ jobs: - if: ${{ matrix.platform == 'gpu' }} name: Build Conda base image run: | - docker build --build-arg BASE=deezer/python-cuda-10-1:3.8 -t conda:gpu -f docker/conda.dockerfile . + docker build --build-arg BASE=deezer/python-cuda-10-1:3.11 -t conda:gpu -f docker/conda.dockerfile . echo "image=spleeter-gpu" >> $GITHUB_ENV - name: Build deezer/${{ env.image }}:${{ env.tag }} image run: | @@ -99,7 +99,7 @@ jobs: strategy: matrix: platform: [cpu, gpu] - distribution: [3.6, 3.7, 3.8] + distribution: [3.9, 3.10, 3.11, 3.12] model: [2stems, 4stems, 5stems] fail-fast: true steps: diff --git a/.github/workflows/pypi.yml b/.github/workflows/pypi.yml index 471b6dec5..c646e176c 100644 --- a/.github/workflows/pypi.yml +++ b/.github/workflows/pypi.yml @@ -10,7 +10,7 @@ jobs: - uses: actions/checkout@v2 - uses: actions/setup-python@v2 with: - python-version: 3.9 + python-version: 3.11 - name: Install Poetry run: | pip install poetry diff --git a/.github/workflows/test.yml b/.github/workflows/test.yml index a55c2eeb7..bc95b0841 100644 --- a/.github/workflows/test.yml +++ b/.github/workflows/test.yml @@ -8,7 +8,7 @@ jobs: runs-on: ubuntu-latest strategy: matrix: - python-version: ['3.8', '3.9', '3.10', '3.11'] + python-version: ['3.9', '3.10', '3.11', '3.12'] steps: - uses: actions/checkout@v2 - name: Set up Python ${{ matrix.python-version }} @@ -45,7 +45,7 @@ jobs: if: steps.cache.outputs.cache-hit != 'true' - name: Code quality checks run: | - poetry run black spleeter --check - poetry run isort spleeter --check + poetry run ruff check --no-fix spleeter + poetry run ruff format --check spleeter - name: Test with pytest run: poetry run pytest tests/ diff --git a/CHANGELOG.md b/CHANGELOG.md index c41b2ef78..f0e5bf7f2 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -1,5 +1,11 @@ # Changelog History +## 2.5.0 + +* Fix CI/CD and add support for python 3.12, dropping 3.8 as it is EOL. +* Update Tensorflow to 2.14.0 +* Use Ruff for linting and formatting instead of Flake8, Black and isort. + ## 2.4.2 Dependecy upgrades and adding support for python 3.11 (dropping 3.7) @@ -8,6 +14,7 @@ Dependecy upgrades and adding support for python 3.11 (dropping 3.7) Release contrain on specific Tensorflow, numpy and Librosa versions Dropping explicit support of python 3.6 but adding 3.10 + ## 2.3.0 Updating dependencies to enable TensorFlow 2.5 support (and Python 3.9 overall) diff --git a/README.md b/README.md index 58be62053..cf9bd0ba9 100644 --- a/README.md +++ b/README.md @@ -28,7 +28,7 @@ Since it's been released, there are multiple forks exposing **Spleeter** through That being said, many cool projects have been built on top of ours. Notably the porting to the *Ableton Live* ecosystem through the [Spleeter 4 Max](https://github.com/diracdeltas/spleeter4max#spleeter-for-max) project. -**Spleeter** pre-trained models have also been used by professionnal audio softwares. Here's a non-exhaustive list: +**Spleeter** pre-trained models have also been used by professional audio softwares. Here's a non-exhaustive list: * [iZotope](https://www.izotope.com/en/shop/rx-8-standard.html) in its *Music Rebalance* feature within **RX 8** * [SpectralLayers](https://new.steinberg.net/spectralayers/) in its *Unmix* feature in **SpectralLayers 7** @@ -119,7 +119,7 @@ If you plan to use **Spleeter** on copyrighted material, make sure you get prope ## Troubleshooting -**Spleeter** is a complex piece of software and although we continously try to improve and test it you may encounter unexpected issues running it. If that's the case please check the [FAQ page](https://github.com/deezer/spleeter/wiki/5.-FAQ) first as well as the list of [currently open issues](https://github.com/deezer/spleeter/issues) +**Spleeter** is a complex piece of software and although we continuously try to improve and test it you may encounter unexpected issues running it. If that's the case please check the [FAQ page](https://github.com/deezer/spleeter/wiki/5.-FAQ) first as well as the list of [currently open issues](https://github.com/deezer/spleeter/issues) ### Windows users @@ -131,7 +131,7 @@ If you would like to participate in the development of **Spleeter** you are more ## Note -This repository include a demo audio file `audio_example.mp3` which is an excerpt +This repository includes a demo audio file `audio_example.mp3` which is an excerpt from Slow Motion Dream by Steven M Bryant (c) copyright 2011 Licensed under a Creative Commons Attribution (3.0) [license](http://dig.ccmixter.org/files/stevieb357/34740) Ft: CSoul,Alex Beroza & Robert Siekawitch diff --git a/conda/spleeter/meta.yaml b/conda/spleeter/meta.yaml index 4827e07af..05c51befa 100644 --- a/conda/spleeter/meta.yaml +++ b/conda/spleeter/meta.yaml @@ -1,5 +1,5 @@ {% set name = "spleeter" %} -{% set version = "2.4.0" %} +{% set version = "2.5.0" %} package: name: {{ name|lower }} @@ -23,8 +23,8 @@ requirements: - poetry run: - python {{ python }} - - tensorflow ==2.5.0 # [linux] - - tensorflow ==2.5.0 # [win] + - tensorflow ==2.15.0 # [linux] + - tensorflow ==2.15.0 # [win] - numpy - pandas - ffmpeg-python diff --git a/docker/conda.dockerfile b/docker/conda.dockerfile index 97fbd361c..0c62c8560 100644 --- a/docker/conda.dockerfile +++ b/docker/conda.dockerfile @@ -1,4 +1,4 @@ -ARG BASE=python:3.7 +ARG BASE=python:3.11 FROM ${BASE} RUN apt-get update --fix-missing \ diff --git a/docker/cuda-10-0.dockerfile b/docker/cuda-10-0.dockerfile index 50af97c06..d4a6e8bcb 100644 --- a/docker/cuda-10-0.dockerfile +++ b/docker/cuda-10-0.dockerfile @@ -1,4 +1,4 @@ -ARG BASE=python:3.7 +ARG BASE=python:3.11 FROM ${BASE} ENV CUDA_VERSION 10.0.130 @@ -18,26 +18,26 @@ LABEL com.nvidia.volumes.needed="nvidia_driver" RUN apt-get update \ && apt-get install -y --no-install-recommends \ - gnupg2 \ - curl \ - ca-certificates \ + gnupg2 \ + curl \ + ca-certificates \ && curl -fsSL https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/7fa2af80.pub | apt-key add - \ && echo "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64 /" > /etc/apt/sources.list.d/cuda.list \ && echo "deb https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64 /" > /etc/apt/sources.list.d/nvidia-ml.list \ && apt-get purge --autoremove -y curl \ && apt-get update \ && apt-get install -y --no-install-recommends \ - cuda-cudart-$CUDA_PKG_VERSION \ - cuda-compat-10-0 \ + cuda-cudart-$CUDA_PKG_VERSION \ + cuda-compat-10-0 \ && ln -s cuda-10.0 /usr/local/cuda \ && echo "/usr/local/nvidia/lib" >> /etc/ld.so.conf.d/nvidia.conf \ && echo "/usr/local/nvidia/lib64" >> /etc/ld.so.conf.d/nvidia.conf \ && apt-get install -y --no-install-recommends \ - cuda-toolkit-10-0 \ - cuda-libraries-$CUDA_PKG_VERSION \ - cuda-nvtx-$CUDA_PKG_VERSION \ - libnccl2=$NCCL_VERSION-1+cuda10.0 \ - libcudnn7=$CUDNN_VERSION-1+cuda10.0 \ + cuda-toolkit-10-0 \ + cuda-libraries-$CUDA_PKG_VERSION \ + cuda-nvtx-$CUDA_PKG_VERSION \ + libnccl2=$NCCL_VERSION-1+cuda10.0 \ + libcudnn7=$CUDNN_VERSION-1+cuda10.0 \ && apt-mark hold libnccl2 \ && apt-mark hold libcudnn7 \ && rm -rf /var/lib/apt/lists/* diff --git a/docker/cuda-10-1.dockerfile b/docker/cuda-10-1.dockerfile index 19909fabb..7f5302fda 100644 --- a/docker/cuda-10-1.dockerfile +++ b/docker/cuda-10-1.dockerfile @@ -1,4 +1,4 @@ -ARG BASE=python:3.8 +ARG BASE=python:3.11 FROM ${BASE} ENV CUDA_VERSION 10.1.243 @@ -18,27 +18,27 @@ LABEL com.nvidia.volumes.needed="nvidia_driver" RUN apt-get update \ && apt-get install -y --no-install-recommends \ - gnupg2 \ - curl \ - ca-certificates \ + gnupg2 \ + curl \ + ca-certificates \ && curl -fsSL https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/7fa2af80.pub | apt-key add - \ && echo "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64 /" > /etc/apt/sources.list.d/cuda.list \ && echo "deb https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64 /" > /etc/apt/sources.list.d/nvidia-ml.list \ && apt-get purge --autoremove -y curl \ && apt-get update \ && apt-get install -y --no-install-recommends \ - cuda-cudart-$CUDA_PKG_VERSION \ - cuda-compat-10-1 \ + cuda-cudart-$CUDA_PKG_VERSION \ + cuda-compat-10-1 \ && ln -s cuda-10.1 /usr/local/cuda \ && echo "/usr/local/nvidia/lib" >> /etc/ld.so.conf.d/nvidia.conf \ && echo "/usr/local/nvidia/lib64" >> /etc/ld.so.conf.d/nvidia.conf \ && apt-get install -y --no-install-recommends \ - cuda-libraries-$CUDA_PKG_VERSION \ - cuda-npp-$CUDA_PKG_VERSION \ - cuda-nvtx-$CUDA_PKG_VERSION \ - libcublas10=10.2.1.243-1 \ - libcudnn7=$CUDNN_VERSION-1+cuda10.1 \ - libnccl2=$NCCL_VERSION-1+cuda10.1 \ + cuda-libraries-$CUDA_PKG_VERSION \ + cuda-npp-$CUDA_PKG_VERSION \ + cuda-nvtx-$CUDA_PKG_VERSION \ + libcublas10=10.2.1.243-1 \ + libcudnn7=$CUDNN_VERSION-1+cuda10.1 \ + libnccl2=$NCCL_VERSION-1+cuda10.1 \ && apt-mark hold libnccl2 \ && apt-mark hold libcudnn7 \ && apt-mark hold libcublas10 \ diff --git a/docker/cuda-9.2.dockerfile b/docker/cuda-9.2.dockerfile index 06eecb48e..eb733b150 100644 --- a/docker/cuda-9.2.dockerfile +++ b/docker/cuda-9.2.dockerfile @@ -1,4 +1,4 @@ -ARG BASE=python:3.7 +ARG BASE=python:3.11 FROM ${BASE} # FROM 9.2-base-ubuntu18.04 @@ -13,7 +13,7 @@ ENV CUDA_VERSION 9.2.148 ENV CUDA_PKG_VERSION 9-2=$CUDA_VERSION-1 RUN apt-get update \ && apt-get install -y --no-install-recommends \ - cuda-cudart-$CUDA_PKG_VERSION \ + cuda-cudart-$CUDA_PKG_VERSION \ && ln -s cuda-9.2 /usr/local/cuda \ && rm -rf /var/lib/apt/lists/* LABEL com.nvidia.volumes.needed="nvidia_driver" @@ -31,9 +31,9 @@ ENV NVIDIA_REQUIRE_CUDA "cuda>=9.2" ENV NCCL_VERSION 2.3.7 RUN apt-get update \ && apt-get install -y --no-install-recommends \ - cuda-libraries-$CUDA_PKG_VERSION \ - cuda-nvtx-$CUDA_PKG_VERSION \ - libnccl2=$NCCL_VERSION-1+cuda9.2 \ + cuda-libraries-$CUDA_PKG_VERSION \ + cuda-nvtx-$CUDA_PKG_VERSION \ + libnccl2=$NCCL_VERSION-1+cuda9.2 \ && apt-mark hold libnccl2 \ && rm -rf /var/lib/apt/lists/* diff --git a/docker/spleeter-conda.dockerfile b/docker/spleeter-conda.dockerfile index 4a8f704b9..556eb77bd 100644 --- a/docker/spleeter-conda.dockerfile +++ b/docker/spleeter-conda.dockerfile @@ -2,7 +2,7 @@ ARG BASE=conda FROM ${BASE} -ARG SPLEETER_VERSION=1.5.3 +ARG SPLEETER_VERSION=2.5.0 ENV MODEL_PATH /model RUN mkdir -p /model diff --git a/docker/spleeter.dockerfile b/docker/spleeter.dockerfile index 745ceae73..6d4b20007 100644 --- a/docker/spleeter.dockerfile +++ b/docker/spleeter.dockerfile @@ -1,8 +1,8 @@ -ARG BASE=python:3.6 +ARG BASE=python:3.12 FROM ${BASE} -ARG SPLEETER_VERSION=1.5.3 +ARG SPLEETER_VERSION=2.5.0 ENV MODEL_PATH /model RUN mkdir -p /model diff --git a/poetry.lock b/poetry.lock index 5bc85ad0b..e5059cccf 100644 --- a/poetry.lock +++ b/poetry.lock @@ -2,37 +2,40 @@ [[package]] name = "absl-py" -version = "2.1.0" +version = "2.2.2" description = "Abseil Python Common Libraries, see https://github.com/abseil/abseil-py." optional = false -python-versions = ">=3.7" +python-versions = ">=3.8" groups = ["main"] +markers = "python_version <= \"3.11\" or python_version >= \"3.12\"" files = [ - {file = "absl-py-2.1.0.tar.gz", hash = "sha256:7820790efbb316739cde8b4e19357243fc3608a152024288513dd968d7d959ff"}, - {file = "absl_py-2.1.0-py3-none-any.whl", hash = "sha256:526a04eadab8b4ee719ce68f204172ead1027549089702d99b9059f129ff1308"}, + {file = "absl_py-2.2.2-py3-none-any.whl", hash = "sha256:e5797bc6abe45f64fd95dc06394ca3f2bedf3b5d895e9da691c9ee3397d70092"}, + {file = "absl_py-2.2.2.tar.gz", hash = "sha256:bf25b2c2eed013ca456918c453d687eab4e8309fba81ee2f4c1a6aa2494175eb"}, ] [[package]] name = "anyio" -version = "3.7.1" +version = "4.9.0" description = "High level compatibility layer for multiple asynchronous event loop implementations" optional = false -python-versions = ">=3.7" +python-versions = ">=3.9" groups = ["main"] +markers = "python_version <= \"3.11\" or python_version >= \"3.12\"" files = [ - {file = "anyio-3.7.1-py3-none-any.whl", hash = "sha256:91dee416e570e92c64041bd18b900d1d6fa78dff7048769ce5ac5ddad004fbb5"}, - {file = "anyio-3.7.1.tar.gz", hash = "sha256:44a3c9aba0f5defa43261a8b3efb97891f2bd7d804e0e1f56419befa1adfc780"}, + {file = "anyio-4.9.0-py3-none-any.whl", hash = "sha256:9f76d541cad6e36af7beb62e978876f3b41e3e04f2c1fbf0884604c0a9c4d93c"}, + {file = "anyio-4.9.0.tar.gz", hash = "sha256:673c0c244e15788651a4ff38710fea9675823028a6f08a5eda409e0c9840a028"}, ] [package.dependencies] -exceptiongroup = {version = "*", markers = "python_version < \"3.11\""} +exceptiongroup = {version = ">=1.0.2", markers = "python_version < \"3.11\""} idna = ">=2.8" sniffio = ">=1.1" +typing_extensions = {version = ">=4.5", markers = "python_version < \"3.13\""} [package.extras] -doc = ["Sphinx", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme (>=1.2.2)", "sphinxcontrib-jquery"] -test = ["anyio[trio]", "coverage[toml] (>=4.5)", "hypothesis (>=4.0)", "mock (>=4)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (>=0.17)"] -trio = ["trio (<0.22)"] +doc = ["Sphinx (>=8.2,<9.0)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx_rtd_theme"] +test = ["anyio[trio]", "blockbuster (>=1.5.23)", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "trustme", "truststore (>=0.9.1)", "uvloop (>=0.21)"] +trio = ["trio (>=0.26.1)"] [[package]] name = "astunparse" @@ -41,6 +44,7 @@ description = "An AST unparser for Python" optional = false python-versions = "*" groups = ["main"] +markers = "python_version <= \"3.11\" or python_version >= \"3.12\"" files = [ {file = "astunparse-1.6.3-py2.py3-none-any.whl", hash = "sha256:c2652417f2c8b5bb325c885ae329bdf3f86424075c4fd1a128674bc6fba4b8e8"}, {file = "astunparse-1.6.3.tar.gz", hash = "sha256:5ad93a8456f0d084c3456d059fd9a92cce667963232cbf763eac3bc5b7940872"}, @@ -57,83 +61,56 @@ description = "Atomic file writes." optional = false python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*" groups = ["dev"] -markers = "sys_platform == \"win32\"" +markers = "(python_version <= \"3.11\" or python_version >= \"3.12\") and sys_platform == \"win32\"" files = [ {file = "atomicwrites-1.4.1.tar.gz", hash = "sha256:81b2c9071a49367a7f770170e5eec8cb66567cfbbc8c73d20ce5ca4a8d71cf11"}, ] [[package]] name = "attrs" -version = "24.3.0" +version = "25.3.0" description = "Classes Without Boilerplate" optional = false python-versions = ">=3.8" groups = ["main", "dev"] +markers = "python_version <= \"3.11\" or python_version >= \"3.12\"" files = [ - {file = "attrs-24.3.0-py3-none-any.whl", hash = "sha256:ac96cd038792094f438ad1f6ff80837353805ac950cd2aa0e0625ef19850c308"}, - {file = "attrs-24.3.0.tar.gz", hash = "sha256:8f5c07333d543103541ba7be0e2ce16eeee8130cb0b3f9238ab904ce1e85baff"}, + {file = "attrs-25.3.0-py3-none-any.whl", hash = "sha256:427318ce031701fea540783410126f03899a97ffc6f61596ad581ac2e40e3bc3"}, + {file = "attrs-25.3.0.tar.gz", hash = "sha256:75d7cefc7fb576747b2c81b4442d4d4a1ce0900973527c011d1030fd3bf4af1b"}, ] [package.extras] benchmark = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-codspeed", "pytest-mypy-plugins", "pytest-xdist[psutil]"] cov = ["cloudpickle", "coverage[toml] (>=5.3)", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"] dev = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pre-commit-uv", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"] -docs = ["cogapp", "furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier (<24.7)"] +docs = ["cogapp", "furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier"] tests = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"] tests-mypy = ["mypy (>=1.11.1)", "pytest-mypy-plugins"] -[[package]] -name = "black" -version = "21.12b0" -description = "The uncompromising code formatter." -optional = false -python-versions = ">=3.6.2" -groups = ["dev"] -files = [ - 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{file = "zipp-3.20.2-py3-none-any.whl", hash = "sha256:a817ac80d6cf4b23bf7f2828b7cabf326f15a001bea8b1f9b49631780ba28350"}, - {file = "zipp-3.20.2.tar.gz", hash = "sha256:bc9eb26f4506fda01b81bcde0ca78103b6e62f991b381fec825435c836edbc29"}, + {file = "zipp-3.21.0-py3-none-any.whl", hash = "sha256:ac1bbe05fd2991f160ebce24ffbac5f6d11d83dc90891255885223d42b3cd931"}, + {file = "zipp-3.21.0.tar.gz", hash = "sha256:2c9958f6430a2040341a52eb608ed6dd93ef4392e02ffe219417c1b28b5dd1f4"}, ] -markers = {main = "python_version < \"3.10\"", dev = "python_version < \"3.9\""} [package.extras] check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1)"] @@ -2415,5 +2484,5 @@ evaluation = ["musdb", "museval"] [metadata] lock-version = "2.1" -python-versions = ">=3.8,<3.12" -content-hash = "c184b834b87336d2361ab6899b7fe64e7c5441b4d65e15a026087a3a38437fb1" +python-versions = ">=3.9,<3.13" +content-hash = "fbbc7fa742db1ab322b2ef749d05b622946a9d4e18e9fa164cd2821e20430a77" diff --git a/pyproject.toml b/pyproject.toml index 8c0af86e2..969c9ac30 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "spleeter" -version = "2.4.2" +version = "2.5.0" description = "The Deezer source separation library with pretrained models based on tensorflow." authors = ["Deezer Research "] license = "MIT License" @@ -21,10 +21,10 @@ classifiers = [ "Operating System :: Unix", "Programming Language :: Python", "Programming Language :: Python :: 3", - "Programming Language :: Python :: 3.8", "Programming Language :: Python :: 3.9", "Programming Language :: Python :: 3.10", "Programming Language :: Python :: 3.11", + "Programming Language :: Python :: 3.12", "Programming Language :: Python :: 3 :: Only", "Programming Language :: Python :: Implementation :: CPython", "Topic :: Artistic Software", @@ -45,22 +45,21 @@ packages = [ { include = "spleeter" } ] include = ["LICENSE", "spleeter/resources/*.json"] [tool.poetry.dependencies] -python = ">=3.8,<3.12" +python = ">=3.9,<3.13" +tensorflow = "~2.14.0" +tensorflow-io-gcs-filesystem = "^0.37.0" +numpy = "<2.0.0" ffmpeg-python = "^0.2.0" -httpx = {extras = ["http2"], version = "^0.19.0"} +httpx = {extras = ["http2"], version = ">=0.19.0"} typer = "^0.3.2" musdb = {version = "^0.4.0", optional = true} museval = {version = "^0.4.0", optional = true} -tensorflow-io-gcs-filesystem = "0.32.0" -tensorflow = "2.12.1" -pandas = "^1.3.0" +pandas = ">=1.3.0" norbert = "^0.2.1" -numpy = "<2.0.0" -[tool.poetry.dev-dependencies] +[tool.poetry.group.dev.dependencies] +ruff = "*" pytest = "^6.2.1" -isort = "^5.7.0" -black = "^21.7b0" mypy = ">0.790,<1.0" flake8 = "^5.0.0" pytest-forked = "^1.3.0" @@ -73,9 +72,13 @@ spleeter = 'spleeter.__main__:entrypoint' [tool.poetry.extras] evaluation = ["musdb", "museval"] -[tool.isort] -profile = "black" -multi_line_output = 3 +[tool.ruff] +line-length = 120 + +[tool.ruff.lint] +select = ["T201", "T203", "E741", "E742", "E743", "F", "I"] +ignore = [] + [tool.pytest.ini_options] addopts = "-W ignore::FutureWarning -W ignore::DeprecationWarning -vv --forked" diff --git a/spleeter/__main__.py b/spleeter/__main__.py index c3a4429ed..5c97945f1 100644 --- a/spleeter/__main__.py +++ b/spleeter/__main__.py @@ -11,6 +11,7 @@ command function scope to avoid heavy import on CLI evaluation, leading to large bootstraping time. """ + import json from functools import partial from glob import glob @@ -93,9 +94,7 @@ def train( ), ) input_fn = partial(get_training_dataset, params, audio_adapter, data) - train_spec = tf.estimator.TrainSpec( - input_fn=input_fn, max_steps=params["train_max_steps"] - ) + train_spec = tf.estimator.TrainSpec(input_fn=input_fn, max_steps=params["train_max_steps"]) input_fn = partial(get_validation_dataset, params, audio_adapter, data) evaluation_spec = tf.estimator.EvalSpec( input_fn=input_fn, steps=None, throttle_secs=params["throttle_secs"] @@ -181,10 +180,7 @@ def _compile_metrics(metrics_output_directory: str) -> Dict: names=["instrument", "metric"], ) pd.DataFrame([], index=["config1", "config2"], columns=index) - metrics: Dict = { - instrument: {k: [] for k in EVALUATION_METRICS} - for instrument in EVALUATION_INSTRUMENTS - } + metrics: Dict = {instrument: {k: [] for k in EVALUATION_METRICS} for instrument in EVALUATION_INSTRUMENTS} for song in songs: with open(song, "r") as stream: data = json.load(stream) @@ -192,11 +188,7 @@ def _compile_metrics(metrics_output_directory: str) -> Dict: instrument = target["name"] for metric in EVALUATION_METRICS: sdr_med = np.median( - [ - frame["metrics"][metric] - for frame in target["frames"] - if not np.isnan(frame["metrics"][metric]) - ] + [frame["metrics"][metric] for frame in target["frames"] if not np.isnan(frame["metrics"][metric])] ) metrics[instrument][metric].append(sdr_med) return metrics diff --git a/spleeter/model/__init__.py b/spleeter/model/__init__.py index eda70a169..303c3f9c0 100644 --- a/spleeter/model/__init__.py +++ b/spleeter/model/__init__.py @@ -1,7 +1,7 @@ #!/usr/bin/env python # coding: utf8 -""" This package provide an estimator builder as well as model functions. """ +"""This package provide an estimator builder as well as model functions.""" import importlib from typing import Any, Dict, Optional, Tuple @@ -177,9 +177,7 @@ def _build_model_outputs(self): apply_model = get_model_function(model_type) except ModuleNotFoundError: raise ValueError(f"No model function {model_type} found") - self._model_outputs = apply_model( - input_tensor, self._instruments, self._params["model"]["params"] - ) + self._model_outputs = apply_model(input_tensor, self._instruments, self._params["model"]["params"]) def _build_loss(self, labels: Dict) -> Tuple[tf.Tensor, Dict]: """ @@ -197,15 +195,11 @@ def _build_loss(self, labels: Dict) -> Tuple[tf.Tensor, Dict]: output_dict = self.model_outputs loss_type = self._params.get("loss_type", self.L1_MASK) if loss_type == self.L1_MASK: - losses = { - name: tf.reduce_mean(tf.abs(output - labels[name])) - for name, output in output_dict.items() - } + losses = {name: tf.reduce_mean(tf.abs(output - labels[name])) for name, output in output_dict.items()} elif loss_type == self.WEIGHTED_L1_MASK: losses = { name: tf.reduce_mean( - tf.reduce_mean(labels[name], axis=[1, 2, 3], keep_dims=True) - * tf.abs(output - labels[name]) + tf.reduce_mean(labels[name], axis=[1, 2, 3], keep_dims=True) * tf.abs(output - labels[name]) ) for name, output in output_dict.items() } @@ -268,18 +262,16 @@ def _build_stft_feature(self): tf.transpose(waveform), self._frame_length, self._frame_step, - window_fn=lambda frame_length, dtype: ( - hann_window(frame_length, periodic=True, dtype=dtype) - ), + window_fn=lambda frame_length, dtype: (hann_window(frame_length, periodic=True, dtype=dtype)), pad_end=True, ), perm=[1, 2, 0], ) self._features[f"{self._mix_name}_stft"] = stft_feature if spec_name not in self._features: - self._features[spec_name] = tf.abs( - pad_and_partition(self._features[stft_name], self._T) - )[:, :, : self._F, :] + self._features[spec_name] = tf.abs(pad_and_partition(self._features[stft_name], self._T))[ + :, :, : self._F, : + ] @property def model_outputs(self): @@ -317,9 +309,7 @@ def masked_stfts(self): self._build_masked_stfts() return self._masked_stfts - def _inverse_stft( - self, stft_t: tf.Tensor, time_crop: Optional[Any] = None - ) -> tf.Tensor: + def _inverse_stft(self, stft_t: tf.Tensor, time_crop: Optional[Any] = None) -> tf.Tensor: """ Inverse and reshape the given STFT @@ -338,9 +328,7 @@ def _inverse_stft( tf.transpose(stft_t, perm=[2, 0, 1]), self._frame_length, self._frame_step, - window_fn=lambda frame_length, dtype: ( - hann_window(frame_length, periodic=True, dtype=dtype) - ), + window_fn=lambda frame_length, dtype: (hann_window(frame_length, periodic=True, dtype=dtype)), ) * self.WINDOW_COMPENSATION_FACTOR ) @@ -429,26 +417,17 @@ def _build_masks(self): output_dict = self.model_outputs stft_feature = self.stft_feature separation_exponent = self._params["separation_exponent"] - output_sum = ( - tf.reduce_sum( - [e ** separation_exponent for e in output_dict.values()], axis=0 - ) - + self.EPSILON - ) + output_sum = tf.reduce_sum([e**separation_exponent for e in output_dict.values()], axis=0) + self.EPSILON out = {} for instrument in self._instruments: output = output_dict[f"{instrument}_spectrogram"] # Compute mask with the model. - instrument_mask = ( - output ** separation_exponent + (self.EPSILON / len(output_dict)) - ) / output_sum + instrument_mask = (output**separation_exponent + (self.EPSILON / len(output_dict))) / output_sum # Extend mask; instrument_mask = self._extend_mask(instrument_mask) # Stack back mask. old_shape = tf.shape(instrument_mask) - new_shape = tf.concat( - [[old_shape[0] * old_shape[1]], old_shape[2:]], axis=0 - ) + new_shape = tf.concat([[old_shape[0] * old_shape[1]], old_shape[2:]], axis=0) instrument_mask = tf.reshape(instrument_mask, new_shape) # Remove padded part (for mask having the same size as STFT); @@ -521,9 +500,7 @@ def build_predict_model(self) -> tf.Tensor: An estimator for performing prediction. """ - return tf.estimator.EstimatorSpec( - tf.estimator.ModeKeys.PREDICT, predictions=self.outputs - ) + return tf.estimator.EstimatorSpec(tf.estimator.ModeKeys.PREDICT, predictions=self.outputs) def build_evaluation_model(self, labels: Dict) -> tf.Tensor: """ @@ -563,9 +540,7 @@ def build_train_model(self, labels: Dict) -> tf.Tensor: """ loss, metrics = self._build_loss(labels) optimizer = self._build_optimizer() - train_operation = optimizer.minimize( - loss=loss, global_step=tf.compat.v1.train.get_global_step() - ) + train_operation = optimizer.minimize(loss=loss, global_step=tf.compat.v1.train.get_global_step()) return tf.estimator.EstimatorSpec( mode=tf.estimator.ModeKeys.TRAIN, loss=loss, diff --git a/spleeter/separator.py b/spleeter/separator.py index 95c036fe8..1486701f2 100644 --- a/spleeter/separator.py +++ b/spleeter/separator.py @@ -163,9 +163,7 @@ def _get_session(self): saver.restore(self._session, latest_checkpoint) return self._session - def _separate_tensorflow( - self, waveform: np.ndarray, audio_descriptor: AudioDescriptor - ) -> Dict: + def _separate_tensorflow(self, waveform: np.ndarray, audio_descriptor: AudioDescriptor) -> Dict: """ Performs source separation over the given waveform with tensorflow backend. @@ -190,9 +188,7 @@ def _separate_tensorflow( prediction.pop("audio_id") return prediction - def separate( - self, waveform: np.ndarray, audio_descriptor: Optional[str] = "" - ) -> Dict: + def separate(self, waveform: np.ndarray, audio_descriptor: Optional[str] = "") -> Dict: """ Performs separation on a waveform. @@ -330,17 +326,10 @@ def save_to_file( if not os.path.exists(directory): os.makedirs(directory) if path in generated: - raise SpleeterError( - ( - f"Separated source path conflict : {path}," - "please check your filename format" - ) - ) + raise SpleeterError((f"Separated source path conflict : {path},please check your filename format")) generated.append(path) if self._pool: - task = self._pool.apply_async( - audio_adapter.save, (path, data, self._sample_rate, codec, bitrate) - ) + task = self._pool.apply_async(audio_adapter.save, (path, data, self._sample_rate, codec, bitrate)) self._tasks.append(task) else: audio_adapter.save(path, data, self._sample_rate, codec, bitrate) From d37864e9019ce6c145e133da8be0dfaacb84e2df Mon Sep 17 00:00:00 2001 From: Karl Hayek Date: Mon, 7 Apr 2025 15:34:48 +0000 Subject: [PATCH 2/3] Fix typos --- .flake8 | 3 -- .github/PULL_REQUEST_TEMPLATE.md | 2 +- conda/spleeter/meta.yaml | 4 +-- poetry.lock | 59 +------------------------------- pyproject.toml | 1 - 5 files changed, 4 insertions(+), 65 deletions(-) delete mode 100644 .flake8 diff --git a/.flake8 b/.flake8 deleted file mode 100644 index e0ea542fd..000000000 --- a/.flake8 +++ /dev/null @@ -1,3 +0,0 @@ -[flake8] -max-line-length = 88 -extend-ignore = E203 \ No newline at end of file diff --git a/.github/PULL_REQUEST_TEMPLATE.md b/.github/PULL_REQUEST_TEMPLATE.md index ed27b2b91..30e2f0b68 100644 --- a/.github/PULL_REQUEST_TEMPLATE.md +++ b/.github/PULL_REQUEST_TEMPLATE.md @@ -12,7 +12,7 @@ A few sentences describing the overall goals of the pull request's commits. You tested it, right? -- [ ] I implemented unit test whicn ran successfully using `poetry run pytest tests/` +- [ ] I implemented unit test which ran successfully using `poetry run pytest tests/` - [ ] Code has been formatted using `poetry run ruff format spleeter` ## Documentation link and external references diff --git a/conda/spleeter/meta.yaml b/conda/spleeter/meta.yaml index 05c51befa..b18860d94 100644 --- a/conda/spleeter/meta.yaml +++ b/conda/spleeter/meta.yaml @@ -23,8 +23,8 @@ requirements: - poetry run: - python {{ python }} - - tensorflow ==2.15.0 # [linux] - - tensorflow ==2.15.0 # [win] + - tensorflow ==2.14.0 # [linux] + - tensorflow ==2.14.0 # [win] - numpy - pandas - ffmpeg-python diff --git a/poetry.lock b/poetry.lock index e5059cccf..850400850 100644 --- a/poetry.lock +++ b/poetry.lock @@ -358,24 +358,6 @@ future = "*" [package.extras] dev = ["Sphinx (==2.1.0)", "future (==0.17.1)", "numpy (==1.16.4)", "pytest (==4.6.1)", "pytest-mock (==1.10.4)", "tox (==3.12.1)"] -[[package]] -name = "flake8" -version = "5.0.4" -description = "the modular source code checker: pep8 pyflakes and co" -optional = false -python-versions = ">=3.6.1" -groups = ["dev"] -markers = "python_version <= \"3.11\" or python_version >= \"3.12\"" -files = [ - {file = "flake8-5.0.4-py2.py3-none-any.whl", hash = "sha256:7a1cf6b73744f5806ab95e526f6f0d8c01c66d7bbe349562d22dfca20610b248"}, - {file = "flake8-5.0.4.tar.gz", hash = "sha256:6fbe320aad8d6b95cec8b8e47bc933004678dc63095be98528b7bdd2a9f510db"}, -] - -[package.dependencies] -mccabe = ">=0.7.0,<0.8.0" -pycodestyle = ">=2.9.0,<2.10.0" -pyflakes = ">=2.5.0,<2.6.0" - [[package]] name = "flatbuffers" version = "25.2.10" @@ -908,19 +890,6 @@ files = [ {file = "markupsafe-3.0.2.tar.gz", hash = "sha256:ee55d3edf80167e48ea11a923c7386f4669df67d7994554387f84e7d8b0a2bf0"}, ] -[[package]] -name = "mccabe" -version = "0.7.0" -description = "McCabe checker, plugin for flake8" -optional = false -python-versions = ">=3.6" -groups = ["dev"] -markers = "python_version <= \"3.11\" or python_version >= \"3.12\"" -files = [ - {file = "mccabe-0.7.0-py2.py3-none-any.whl", hash = "sha256:6c2d30ab6be0e4a46919781807b4f0d834ebdd6c6e3dca0bda5a15f863427b6e"}, - {file = "mccabe-0.7.0.tar.gz", hash = "sha256:348e0240c33b60bbdf4e523192ef919f28cb2c3d7d5c7794f74009290f236325"}, -] - [[package]] name = "ml-dtypes" version = "0.2.0" @@ -1375,19 +1344,6 @@ files = [ [package.dependencies] pyasn1 = ">=0.6.1,<0.7.0" -[[package]] -name = "pycodestyle" -version = "2.9.1" -description = "Python style guide checker" -optional = false -python-versions = ">=3.6" -groups = ["dev"] -markers = "python_version <= \"3.11\" or python_version >= \"3.12\"" -files = [ - {file = "pycodestyle-2.9.1-py2.py3-none-any.whl", hash = "sha256:d1735fc58b418fd7c5f658d28d943854f8a849b01a5d0a1e6f3f3fdd0166804b"}, - {file = "pycodestyle-2.9.1.tar.gz", hash = "sha256:2c9607871d58c76354b697b42f5d57e1ada7d261c261efac224b664affdc5785"}, -] - [[package]] name = "pycparser" version = "2.22" @@ -1401,19 +1357,6 @@ files = [ {file = "pycparser-2.22.tar.gz", hash = "sha256:491c8be9c040f5390f5bf44a5b07752bd07f56edf992381b05c701439eec10f6"}, ] -[[package]] -name = "pyflakes" -version = "2.5.0" -description = "passive checker of Python programs" -optional = false -python-versions = ">=3.6" -groups = ["dev"] -markers = "python_version <= \"3.11\" or python_version >= \"3.12\"" -files = [ - {file = "pyflakes-2.5.0-py2.py3-none-any.whl", hash = "sha256:4579f67d887f804e67edb544428f264b7b24f435b263c4614f384135cea553d2"}, - {file = "pyflakes-2.5.0.tar.gz", hash = "sha256:491feb020dca48ccc562a8c0cbe8df07ee13078df59813b83959cbdada312ea3"}, -] - [[package]] name = "pytest" version = "6.2.5" @@ -2485,4 +2428,4 @@ evaluation = ["musdb", "museval"] [metadata] lock-version = "2.1" python-versions = ">=3.9,<3.13" -content-hash = "fbbc7fa742db1ab322b2ef749d05b622946a9d4e18e9fa164cd2821e20430a77" +content-hash = "a826d307ff01bc9fbbd3170d6764e012d0a5072928247b8a6b02d8ecdf154798" diff --git a/pyproject.toml b/pyproject.toml index 969c9ac30..821986423 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -61,7 +61,6 @@ norbert = "^0.2.1" ruff = "*" pytest = "^6.2.1" mypy = ">0.790,<1.0" -flake8 = "^5.0.0" pytest-forked = "^1.3.0" musdb = "^0.4.0" museval = "^0.4.0" From 4db5be6cf272c8a7dbe24d0ca9aeb6e14caf0cba Mon Sep 17 00:00:00 2001 From: Karl Hayek Date: Mon, 7 Apr 2025 15:43:41 +0000 Subject: [PATCH 3/3] Update GitHub Actions cache package to v4 because v2 is deprecated --- .github/workflows/test.yml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/.github/workflows/test.yml b/.github/workflows/test.yml index bc95b0841..9c7796a43 100644 --- a/.github/workflows/test.yml +++ b/.github/workflows/test.yml @@ -15,7 +15,7 @@ jobs: uses: actions/setup-python@v2 with: python-version: ${{ matrix.python-version }} - - uses: actions/cache@v2 + - uses: actions/cache@v4 env: model-release: 1 id: spleeter-model-cache @@ -33,7 +33,7 @@ jobs: poetry config virtualenvs.in-project false poetry config virtualenvs.path ~/.virtualenvs - name: Cache Poetry virtualenv - uses: actions/cache@v1 + uses: actions/cache@v4 id: cache with: path: ~/.virtualenvs