Download fixtures_image_utils.py from hf-internal-testing/fixtures_image_utils: direct link, hf CLI and curl.
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https://huggingface.co/datasets/hf-internal-testing/fixtures_image_utils/resolve/80f47ca48e683a714d94de15935e50a48f247b46/fixtures_image_utils.py
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2.74 kB
| # coding=utf-8 | |
| # Copyright 2021 The TensorFlow Datasets Authors and the HuggingFace Datasets Authors. | |
| # | |
| # Licensed under the Apache License, Version 2.0 (the "License"); | |
| # you may not use this file except in compliance with the License. | |
| # You may obtain a copy of the License at | |
| # | |
| # http://www.apache.org/licenses/LICENSE-2.0 | |
| # | |
| # Unless required by applicable law or agreed to in writing, software | |
| # distributed under the License is distributed on an "AS IS" BASIS, | |
| # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
| # See the License for the specific language governing permissions and | |
| # limitations under the License. | |
| import textwrap | |
| import datasets | |
| _CITATION = """\\n""" | |
| _DESCRIPTION = """\\n""" | |
| class FixturesImageUtilsConfig(datasets.BuilderConfig): | |
| """BuilderConfig for fixtures ImageUtils""" | |
| def __init__( | |
| self, | |
| data_url, | |
| url, | |
| task_templates=None, | |
| **kwargs, | |
| ): | |
| super(FixturesImageUtilsConfig, self).__init__( | |
| version=datasets.Version("1.9.0", ""), **kwargs | |
| ) | |
| self.data_url = data_url | |
| self.url = url | |
| self.task_templates = task_templates | |
| class FixturesImageUtils(datasets.GeneratorBasedBuilder): | |
| """Fixtures for ImageUtils. Includes 1 image.""" | |
| BUILDER_CONFIGS = [ | |
| FixturesImageUtilsConfig( | |
| name="image", | |
| description=textwrap.dedent(""), | |
| url="", | |
| data_url="", | |
| ) | |
| ] | |
| DEFAULT_CONFIG_NAME = "image" | |
| def _info(self): | |
| return datasets.DatasetInfo( | |
| description=_DESCRIPTION, | |
| features=datasets.Features( | |
| { | |
| "id": datasets.Value("string"), | |
| "file": datasets.Value("string"), | |
| } | |
| ), | |
| supervised_keys=("file",), | |
| homepage=self.config.url, | |
| citation=_CITATION, | |
| ) | |
| def _split_generators(self, dl_manager): | |
| DL_URLS = [ | |
| f"https://huggingface.co/datasets/hf-internal-testing/fixtures_image_utils/raw/main/{name}" | |
| for name in ["lena.png", "parrots.png", "tree.png", "cat-rotated.jpg", "cats.jpg", "selena.jpeg"] | |
| ] | |
| archive_path = dl_manager.download_and_extract(DL_URLS) | |
| return [ | |
| datasets.SplitGenerator( | |
| name=datasets.Split.TEST, | |
| gen_kwargs={"archive_path": archive_path}, | |
| ), | |
| ] | |
| def _generate_examples(self, archive_path): | |
| """Generate examples.""" | |
| for i, filename in enumerate(archive_path): | |
| key = str(i) | |
| example = { | |
| "id": key, | |
| "file": filename, | |
| } | |
| yield key, example | |