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{file = "Werkzeug-2.2.3-py3-none-any.whl", hash = "sha256:56433961bc1f12533306c624f3be5e744389ac61d722175d543e1751285da612"}, - {file = "Werkzeug-2.2.3.tar.gz", hash = "sha256:2e1ccc9417d4da358b9de6f174e3ac094391ea1d4fbef2d667865d819dfd0afe"}, + {file = "werkzeug-3.0.6-py3-none-any.whl", hash = "sha256:1bc0c2310d2fbb07b1dd1105eba2f7af72f322e1e455f2f93c993bee8c8a5f17"}, + {file = "werkzeug-3.0.6.tar.gz", hash = "sha256:a8dd59d4de28ca70471a34cba79bed5f7ef2e036a76b3ab0835474246eb41f8d"}, ] [package.dependencies] MarkupSafe = ">=2.1.1" [package.extras] -watchdog = ["watchdog"] +watchdog = ["watchdog (>=2.3)"] [[package]] name = "wheel" -version = "0.38.4" +version = "0.45.1" description = "A built-package format for Python" optional = false -python-versions = ">=3.7" +python-versions = ">=3.8" +groups = ["main"] files = [ - {file = "wheel-0.38.4-py3-none-any.whl", hash = "sha256:b60533f3f5d530e971d6737ca6d58681ee434818fab630c83a734bb10c083ce8"}, - {file = "wheel-0.38.4.tar.gz", hash = "sha256:965f5259b566725405b05e7cf774052044b1ed30119b5d586b2703aafe8719ac"}, + {file = "wheel-0.45.1-py3-none-any.whl", hash = "sha256:708e7481cc80179af0e556bbf0cc00b8444c7321e2700b8d8580231d13017248"}, + {file = "wheel-0.45.1.tar.gz", hash = "sha256:661e1abd9198507b1409a20c02106d9670b2576e916d58f520316666abca6729"}, ] [package.extras] -test = ["pytest (>=3.0.0)"] +test = ["pytest (>=6.0.0)", "setuptools (>=65)"] [[package]] name = "wrapt" @@ -2015,6 +2311,7 @@ version = "1.14.1" description = "Module for decorators, wrappers and monkey patching." optional = false python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,>=2.7" +groups = ["main"] files = [ {file = "wrapt-1.14.1-cp27-cp27m-macosx_10_9_x86_64.whl", hash = "sha256:1b376b3f4896e7930f1f772ac4b064ac12598d1c38d04907e696cc4d794b43d3"}, {file = "wrapt-1.14.1-cp27-cp27m-manylinux1_i686.whl", hash = "sha256:903500616422a40a98a5a3c4ff4ed9d0066f3b4c951fa286018ecdf0750194ef"}, @@ -2094,23 +2391,29 @@ files = [ [[package]] name = "zipp" -version = "3.14.0" +version = "3.20.2" description = "Backport of pathlib-compatible object wrapper for zip files" optional = false -python-versions = ">=3.7" +python-versions = ">=3.8" +groups = ["main", "dev"] files = [ - {file = "zipp-3.14.0-py3-none-any.whl", hash = "sha256:188834565033387710d046e3fe96acfc9b5e86cbca7f39ff69cf21a4128198b7"}, - {file = "zipp-3.14.0.tar.gz", hash = "sha256:9e5421e176ef5ab4c0ad896624e87a7b2f07aca746c9b2aa305952800cb8eecb"}, + {file = "zipp-3.20.2-py3-none-any.whl", hash = "sha256:a817ac80d6cf4b23bf7f2828b7cabf326f15a001bea8b1f9b49631780ba28350"}, + {file = "zipp-3.20.2.tar.gz", hash = "sha256:bc9eb26f4506fda01b81bcde0ca78103b6e62f991b381fec825435c836edbc29"}, ] +markers = {main = "python_version < \"3.10\"", dev = "python_version < \"3.9\""} [package.extras] -docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"] -testing = ["flake8 (<5)", "func-timeout", "jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=1.3)", "pytest-flake8", "pytest-mypy (>=0.9.1)"] +check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1)"] +cover = ["pytest-cov"] +doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"] +enabler = ["pytest-enabler (>=2.2)"] +test = ["big-O", "importlib-resources", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more-itertools", "pytest (>=6,!=8.1.*)", "pytest-ignore-flaky"] +type = ["pytest-mypy"] [extras] evaluation = ["musdb", "museval"] [metadata] -lock-version = "2.0" -python-versions = ">=3.7.1,<3.11" -content-hash = "fb2367b2cea17a98dd866ff207a9e611af099bdcc8cb2d2c8566b893009c16cc" +lock-version = "2.1" +python-versions = ">=3.8,<3.12" +content-hash = "c184b834b87336d2361ab6899b7fe64e7c5441b4d65e15a026087a3a38437fb1" diff --git a/pyproject.toml b/pyproject.toml index 058dc50a6..8c0af86e2 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "spleeter" -version = "2.4.1" +version = "2.4.2" 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 :: 3.7", "Programming Language :: Python :: 3.8", "Programming Language :: Python :: 3.9", "Programming Language :: Python :: 3.10", + "Programming Language :: Python :: 3.11", "Programming Language :: Python :: 3 :: Only", "Programming Language :: Python :: Implementation :: CPython", "Topic :: Artistic Software", @@ -45,13 +45,14 @@ packages = [ { include = "spleeter" } ] include = ["LICENSE", "spleeter/resources/*.json"] [tool.poetry.dependencies] -python = ">=3.7.1,<3.11" +python = ">=3.8,<3.12" ffmpeg-python = "^0.2.0" 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 = "^2.5.0, <2.10.0" +tensorflow-io-gcs-filesystem = "0.32.0" +tensorflow = "2.12.1" pandas = "^1.3.0" norbert = "^0.2.1" numpy = "<2.0.0" @@ -60,7 +61,7 @@ numpy = "<2.0.0" pytest = "^6.2.1" isort = "^5.7.0" black = "^21.7b0" -mypy = "^0.790" +mypy = ">0.790,<1.0" flake8 = "^5.0.0" pytest-forked = "^1.3.0" musdb = "^0.4.0" diff --git a/spleeter/audio/__init__.py b/spleeter/audio/__init__.py index a2f56f41a..15ee08b7e 100644 --- a/spleeter/audio/__init__.py +++ b/spleeter/audio/__init__.py @@ -10,14 +10,23 @@ - Waveform convertion and transforming functions. """ -from enum import Enum +# Python 3.11 is not backward compatible for String Enum +# https://tomwojcik.com/posts/2023-01-02/python-311-str-enum-breaking-change +try: + from enum import StrEnum +except ImportError: + from enum import Enum + + class StrEnum(str, Enum): + pass + __email__ = "spleeter@deezer.com" __author__ = "Deezer Research" __license__ = "MIT License" -class Codec(str, Enum): +class Codec(StrEnum): """Enumeration of supported audio codec.""" WAV: str = "wav" diff --git a/spleeter/separator.py b/spleeter/separator.py index adef3987c..95c036fe8 100644 --- a/spleeter/separator.py +++ b/spleeter/separator.py @@ -41,29 +41,6 @@ __license__ = "MIT License" -class DataGenerator(object): - """ - Generator object that store a sample and generate it once while called. - Used to feed a tensorflow estimator without knowing the whole data at - build time. - """ - - def __init__(self) -> None: - """Default constructor.""" - self._current_data = None - - def update_data(self, data) -> None: - """Replace internal data.""" - self._current_data = data - - def __call__(self) -> Generator: - """Generation process.""" - buffer = self._current_data - while buffer: - yield buffer - buffer = self._current_data - - def create_estimator(params: Dict, MWF: bool) -> tf.Tensor: """ Initialize tensorflow estimator that will perform separation @@ -128,9 +105,9 @@ def __init__( else: self._pool = None self._tasks: List = [] - self._data_generator = DataGenerator() + self.estimator = None - def _get_prediction_generator(self) -> Generator: + def _get_prediction_generator(self, data: dict) -> Generator: """ Lazy loading access method for internal prediction generator returned by the predict method of a tensorflow estimator. @@ -139,20 +116,13 @@ def _get_prediction_generator(self) -> Generator: Generator: Generator of prediction. """ - if self._prediction_generator is None: - estimator = create_estimator(self._params, self._MWF) - - def get_dataset(): - return tf.data.Dataset.from_generator( - self._data_generator, - output_types={"waveform": tf.float32, "audio_id": tf.string}, - output_shapes={"waveform": (None, 2), "audio_id": ()}, - ) + if not self.estimator: + self.estimator = create_estimator(self._params, self._MWF) - self._prediction_generator = estimator.predict( - get_dataset, yield_single_examples=False - ) - return self._prediction_generator + def get_dataset(): + return tf.data.Dataset.from_tensors(data) + + return self.estimator.predict(get_dataset, yield_single_examples=False) def join(self, timeout: int = 200) -> None: """ @@ -212,9 +182,7 @@ def _separate_tensorflow( """ if not waveform.shape[-1] == 2: waveform = to_stereo(waveform) - prediction_generator = self._get_prediction_generator() - # NOTE: update data in generator before performing separation. - self._data_generator.update_data( + prediction_generator = self._get_prediction_generator( {"waveform": waveform, "audio_id": np.array(audio_descriptor)} ) # NOTE: perform separation.