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pkgbase = python-tensorflow-datasets
	pkgdesc = tensorflow/datasets is a library of datasets ready to use with TensorFlow.
	pkgver = 4.9.4
	pkgrel = 1
	url = https://github.com/tensorflow/datasets
	arch = any
	license = Apache-2.0
	makedepends = python-build
	makedepends = python-installer
	makedepends = python-setuptools
	makedepends = python-wheel
	depends = python>=3.10
	depends = python-absl
	depends = python-click
	depends = python-dm-tree
	depends = python-etils
	depends = python-immutabledict
	depends = python-importlib_resources
	depends = python-numpy
	depends = python-promise
	depends = python-protobuf>=3.20
	depends = python-psutil
	depends = python-pyarrow
	depends = python-requests>=2.19.0
	depends = python-tensorflow-metadata
	depends = python-termcolor
	depends = python-toml
	depends = python-tqdm
	depends = python-wrapt
	optdepends = python-scipy: for aflw2k3d, duke_ultrasound, imagenet2012_corrupted, svhn, the300w_lp
	optdepends = python-gcsfs: for ble_wind_field
	optdepends = python-zarr: for ble_wind_field
	optdepends = python-gcld3: for c4
	optdepends = python-langdetect: for c4
	optdepends = python-nltk: for c4
	optdepends = python-tldextract: for c4
	optdepends = python-matplotlib: for cats_vs_dogs
	optdepends = python-pillow: for colorectal_histology, wider_face
	optdepends = python-pydub: for common_voice, groove, gtzan, librispeech
	optdepends = python-scikit-image: for eurosat, imagenet2012_corrupted
	optdepends = python-tifffile: for eurosat
	optdepends = python-imagecodecs: for eurosat
	optdepends = python-opencv: for imagenet2012_corrupted
	optdepends = python-librosa: for nsynth
	optdepends = python-scikit-learn: for nsynth
	optdepends = python-pandas: for ogbg_molpcba, pet_finder, smartwatch_gestures
	optdepends = python-networkx: for ogbg_molpcba
	optdepends = python-h5py: for robonet
	optdepends = python-mwparserfromhell: for wikipedia
	optdepends = python-mwxml: for wikipedia
	optdepends = python-beautifulsoup4: for wsc273
	optdepends = python-lxml: for wsc273
	optdepends = python-pycocotools: for youtube_vis
	source = https://github.com/tensorflow/datasets/archive/v4.9.4.tar.gz
	source = get_optdepends.py
	b2sums = 69136372b2c22b9a85abde82f17f9429cad7f44fa2b823c9d3fbbc520a9e866cd5dfbff2a6c7288ea30336a504842da53d301d13f8e8fb69cb737f1d7f03f11f
	b2sums = 3148fd6187ca7ccf7fd1834501b6fde3df94be20a3af97acff8ed67c3aea666c5300e0718fdccd91dbf1ae2bac3da435313de984648e507c62bfc6345c05c3b3

pkgname = python-tensorflow-datasets