python311Packages.tensorflow-datasets: 4.9.7 -> 4.9.8 (#376040)
This commit is contained in:
@@ -7,18 +7,14 @@
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fetchPypi,
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absl-py,
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etils,
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importlib-resources,
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typing-extensions,
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zipp,
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}:
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buildPythonPackage rec {
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pname = "array-record";
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version = "0.5.0";
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version = "0.7.1";
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format = "wheel";
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# As of 2023-10-31, PyPI includes wheels for Python 3.9, 3.10, and 3.11.
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disabled = pythonOlder "3.9" || pythonAtLeast "3.12";
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disabled = pythonOlder "3.10" || pythonAtLeast "3.13";
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src =
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let
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@@ -33,28 +29,25 @@ buildPythonPackage rec {
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platform = "manylinux_2_17_x86_64.manylinux2014_x86_64";
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hash =
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{
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cp39 = "sha256-BzMOVue7E1S1+5+XTcPELko81ujc9MbmqLhNsU7pqO0=";
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cp310 = "sha256-eUD9pQu9GsbV8MPD1MiF3Ihr+zYioSOo6P15hYIwPYo=";
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cp311 = "sha256-rAmkI3EIZPYiXrxFowfDC0Gf3kRw0uX0i6Kx6Zu+hNM=";
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cp310 = "sha256-JDaj1iJy1BQ7fHjmCbGQkNqG5rIRuwTwENbanM9a8hg=";
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cp311 = "sha256-QVynMK9t0BnEtgdfbJ5T3s7N02i0XD2siUSRxKtrI+M=";
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cp312 = "sha256-xJJGm6kLQ2/TzVYTrBtQ1Hqky1odHfbhe/g+PSSYt1c=";
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}
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.${pyShortVersion} or (throw "${pname} is missing hash for ${pyShortVersion}");
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};
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propagatedBuildInputs = [
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dependencies = [
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absl-py
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etils
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importlib-resources
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typing-extensions
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zipp
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];
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] ++ etils.optional-dependencies.epath;
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pythonImportsCheck = [ "array_record" ];
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meta = with lib; {
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meta = {
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description = "ArrayRecord is a new file format derived from Riegeli, achieving a new frontier of IO efficiency";
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homepage = "https://github.com/google/array_record";
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license = licenses.asl20;
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maintainers = with maintainers; [ GaetanLepage ];
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license = lib.licenses.asl20;
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maintainers = with lib.maintainers; [ GaetanLepage ];
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platforms = [ "x86_64-linux" ];
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};
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}
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@@ -1,43 +1,45 @@
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{
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lib,
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buildPythonPackage,
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click,
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dm-tree,
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docutils,
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etils,
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fetchFromGitHub,
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fetchpatch,
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# build-system
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setuptools,
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# dependencies
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dm-tree,
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etils,
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numpy,
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pythonOlder,
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tabulate,
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wrapt,
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# tests
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click,
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docutils,
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keras,
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pytestCheckHook,
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tensorflow,
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tensorflow-datasets,
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wrapt,
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tf-keras,
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}:
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buildPythonPackage rec {
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pname = "dm-sonnet";
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version = "2.0.2";
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format = "setuptools";
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disabled = pythonOlder "3.6";
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pyproject = true;
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src = fetchFromGitHub {
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owner = "deepmind";
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repo = "sonnet";
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rev = "refs/tags/v${version}";
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tag = "v${version}";
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hash = "sha256-WkloUbqSyPG3cbLG8ktsjdluACkCbUZ7t6rYWst8rs8=";
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};
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patches = [
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(fetchpatch {
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name = "replace-np-bool-with-np-bool_.patch";
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url = "https://github.com/deepmind/sonnet/commit/df5d099d4557a9a81a0eb969e5a81ed917bcd612.patch";
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hash = "sha256-s7abl83osD4wa0ZhqgDyjqQ3gagwGYCdQifwFqhNp34=";
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})
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build-system = [
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setuptools
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];
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propagatedBuildInputs = [
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dependencies = [
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dm-tree
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etils
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numpy
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@@ -52,16 +54,37 @@ buildPythonPackage rec {
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nativeCheckInputs = [
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click
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docutils
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keras
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pytestCheckHook
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tensorflow
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tensorflow-datasets
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tf-keras
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];
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# ImportError: `keras.optimizers.legacy` is not supported in Keras 3
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preCheck = ''
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export TF_USE_LEGACY_KERAS=True
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'';
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disabledTests = [
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# AssertionError: 2 != 0 : 2 doctests failed
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"test_doctest_sonnet.functional"
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# AssertionError: Not equal to tolerance
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"testComputationAgainstNumPy1"
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# tensorflow.python.framework.errors_impl.InvalidArgumentError: cannot compute MatMul as input #1(zero-based) was expected to be a float tensor but is a half tensor [Op:MatMul]
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"testComputationAgainstNumPy0"
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"testComputationAgainstNumPy1"
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];
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pythonImportsCheck = [ "sonnet" ];
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meta = with lib; {
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meta = {
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description = "Library for building neural networks in TensorFlow";
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homepage = "https://github.com/deepmind/sonnet";
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license = licenses.asl20;
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maintainers = with maintainers; [ onny ];
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changelog = "https://github.com/google-deepmind/sonnet/releases/tag/v${version}";
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license = lib.licenses.asl20;
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maintainers = with lib.maintainers; [ onny ];
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};
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}
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@@ -1,22 +0,0 @@
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diff --git a/tensorflow_datasets/image_classification/corruptions.py b/tensorflow_datasets/image_classification/corruptions.py
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index 066c4460..cb9a6667 100644
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--- a/tensorflow_datasets/image_classification/corruptions.py
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+++ b/tensorflow_datasets/image_classification/corruptions.py
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@@ -35,7 +35,7 @@ FROST_FILENAMES = []
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def _imagemagick_bin():
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- return 'imagemagick' # pylint: disable=unreachable
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+ return 'convert' # pylint: disable=unreachable
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# /////////////// Corruption Helpers ///////////////
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@@ -675,7 +675,7 @@ def spatter(x, severity=1):
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# ker = np.array([[-1,-2,-3],[-2,0,0],[-3,0,1]], dtype=np.float32)
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# ker -= np.mean(ker)
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ker = np.array([[-2, -1, 0], [-1, 1, 1], [0, 1, 2]])
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- dist = cv2.filter2D(dist, cv2.CVX_8U, ker)
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+ dist = cv2.filter2D(dist, cv2.CV_8U, ker)
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dist = cv2.blur(dist, (3, 3)).astype(np.float32)
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m = cv2.cvtColor(liquid_layer * dist, cv2.COLOR_GRAY2BGRA)
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@@ -1,81 +1,94 @@
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{
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apache-beam,
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array-record,
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attrs,
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beautifulsoup4,
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lib,
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buildPythonPackage,
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click,
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datasets,
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fetchFromGitHub,
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fetchpatch,
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# dependencies
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array-record,
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dill,
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dm-tree,
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fetchFromGitHub,
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ffmpeg,
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future,
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imagemagick,
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immutabledict,
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importlib-resources,
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numpy,
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promise,
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protobuf,
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psutil,
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requests,
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simple-parsing,
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six,
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tensorflow-metadata,
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termcolor,
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tqdm,
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# tests
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apache-beam,
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beautifulsoup4,
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click,
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datasets,
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ffmpeg,
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imagemagick,
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jax,
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jaxlib,
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jinja2,
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langdetect,
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lib,
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lxml,
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matplotlib,
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mlcroissant,
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mwparserfromhell,
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mwxml,
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networkx,
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nltk,
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numpy,
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opencv4,
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pandas,
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pillow,
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promise,
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protobuf,
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psutil,
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pycocotools,
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pydub,
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pytest-xdist,
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pytestCheckHook,
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requests,
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scikit-image,
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scipy,
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six,
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sortedcontainers,
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tensorflow,
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tensorflow-metadata,
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termcolor,
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tifffile,
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tqdm,
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zarr,
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}:
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buildPythonPackage rec {
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pname = "tensorflow-datasets";
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version = "4.9.7";
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format = "setuptools";
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version = "4.9.8";
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pyproject = true;
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src = fetchFromGitHub {
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owner = "tensorflow";
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repo = "datasets";
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tag = "v${version}";
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hash = "sha256-pnut5z3rEYIOOhsQT6uVjPdy+SqftKptSQMwxbMXoKA=";
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hash = "sha256-nqveZ+8b0f5sGIn6WufKeA37yEsZjzhCIbCfwMZ9JOM=";
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};
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patches = [
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# addresses https://github.com/tensorflow/datasets/issues/3673
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./corruptions.patch
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# mlmlcroissant uses encoding_formats, not encoding_formats.
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# Backport https://github.com/tensorflow/datasets/pull/11037 until released.
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(fetchpatch {
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url = "https://github.com/tensorflow/datasets/commit/92cbcff725a1036569a515cc3356aa8480740451.patch";
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hash = "sha256-2hnMvQP83+eAJllce19aHujcoWQzUz3+LsasWCo4BtM=";
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})
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];
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propagatedBuildInputs = [
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dependencies = [
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array-record
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attrs
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dill
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dm-tree
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future
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immutabledict
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importlib-resources
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numpy
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promise
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protobuf
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psutil
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requests
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simple-parsing
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six
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tensorflow-metadata
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termcolor
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@@ -97,6 +110,7 @@ buildPythonPackage rec {
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langdetect
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lxml
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matplotlib
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mlcroissant
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mwparserfromhell
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mwxml
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networkx
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@@ -110,11 +124,18 @@ buildPythonPackage rec {
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pytestCheckHook
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scikit-image
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scipy
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sortedcontainers
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tensorflow
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tifffile
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zarr
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];
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pytestFlagsArray = [
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# AttributeError: 'NoneType' object has no attribute 'Table'
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"--deselect=tensorflow_datasets/core/file_adapters_test.py::test_read_write"
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"--deselect=tensorflow_datasets/text/c4_wsrs/c4_wsrs_test.py::C4WSRSTest"
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];
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disabledTestPaths = [
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# Sandbox violations: network access, filesystem write attempts outside of build dir, ...
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"tensorflow_datasets/core/dataset_builder_test.py"
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@@ -126,6 +147,7 @@ buildPythonPackage rec {
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"tensorflow_datasets/import_without_tf_test.py"
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"tensorflow_datasets/proto/build_tf_proto_test.py"
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"tensorflow_datasets/scripts/cli/build_test.py"
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"tensorflow_datasets/datasets/imagenet2012_corrupted/imagenet2012_corrupted_dataset_builder_test.py"
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# Requires `pretty_midi` which is not packaged in `nixpkgs`.
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"tensorflow_datasets/audio/groove.py"
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@@ -143,14 +165,16 @@ buildPythonPackage rec {
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# Requires `gcld3` and `pretty_midi` which are not packaged in `nixpkgs`.
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"tensorflow_datasets/core/lazy_imports_lib_test.py"
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# AttributeError: 'NoneType' object has no attribute 'Table'
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"tensorflow_datasets/core/dataset_builder_beam_test.py"
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"tensorflow_datasets/core/dataset_builders/adhoc_builder_test.py"
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"tensorflow_datasets/core/split_builder_test.py"
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"tensorflow_datasets/core/writer_test.py"
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# Requires `tensorflow_io` which is not packaged in `nixpkgs`.
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"tensorflow_datasets/core/features/audio_feature_test.py"
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"tensorflow_datasets/image/lsun_test.py"
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# Requires `envlogger` which is not packaged in `nixpkgs`.
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"tensorflow_datasets/rlds/locomotion/locomotion_test.py"
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"tensorflow_datasets/rlds/robosuite_panda_pick_place_can/robosuite_panda_pick_place_can_test.py"
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# Fails with `TypeError: Constant constructor takes either 0 or 2 positional arguments`
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# deep in TF AutoGraph. Doesn't reproduce in Docker with Ubuntu 22.04 => might be related
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# to the differences in some of the dependencies?
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@@ -171,10 +195,11 @@ buildPythonPackage rec {
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"tensorflow_datasets/text/c4_utils_test.py"
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];
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meta = with lib; {
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meta = {
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description = "Library of datasets ready to use with TensorFlow";
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homepage = "https://www.tensorflow.org/datasets/overview";
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license = licenses.asl20;
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maintainers = with maintainers; [ ndl ];
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changelog = "https://github.com/tensorflow/datasets/releases/tag/v${version}";
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license = lib.licenses.asl20;
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maintainers = with lib.maintainers; [ ndl ];
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};
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}
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@@ -1,5 +1,5 @@
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diff --git a/setup.py b/setup.py
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index 7a09b2f..94c5aa6 100644
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index 30ac370..a05812d 100644
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--- a/setup.py
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+++ b/setup.py
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@@ -141,8 +141,4 @@ setup(
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@@ -45,11 +45,16 @@ buildPythonPackage rec {
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# has no tests
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doCheck = false;
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pythonImportsCheck = [ "tensorflow_metadata" ];
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pythonImportsCheck = [
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"tensorflow_metadata"
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"tensorflow_metadata.proto.v0"
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"google.protobuf.runtime_version"
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];
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meta = {
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description = "Standard representations for metadata that are useful when training machine learning models with TensorFlow";
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homepage = "https://github.com/tensorflow/metadata";
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changelog = "https://github.com/tensorflow/metadata/releases/tag/v${version}";
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license = lib.licenses.asl20;
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maintainers = with lib.maintainers; [ ndl ];
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||||
};
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||||
|
||||
Reference in New Issue
Block a user