
"""simple docstring"""





import pytest


UpperCamelCase_					:						Any				= '''__dummy_dataset1__'''

UpperCamelCase_					:						Any				= '''\nimport json\nimport os\n\nimport datasets\n\n\nREPO_URL = "https://huggingface.co/datasets/albertvillanova/tests-raw-jsonl/resolve/main/"\nURLS = {"train": REPO_URL + "wikiann-bn-train.jsonl", "validation": REPO_URL + "wikiann-bn-validation.jsonl"}\n\n\nclass __DummyDataset1__(datasets.GeneratorBasedBuilder):\n\n    def _info(self):\n        features = datasets.Features(\n            {\n                "tokens": datasets.Sequence(datasets.Value("string")),\n                "ner_tags": datasets.Sequence(\n                    datasets.features.ClassLabel(\n                        names=[\n                            "O",\n                            "B-PER",\n                            "I-PER",\n                            "B-ORG",\n                            "I-ORG",\n                            "B-LOC",\n                            "I-LOC",\n                        ]\n                    )\n                ),\n                "langs": datasets.Sequence(datasets.Value("string")),\n                "spans": datasets.Sequence(datasets.Value("string")),\n            }\n        )\n        return datasets.DatasetInfo(features=features)\n\n    def _split_generators(self, dl_manager):\n        dl_path = dl_manager.download(URLS)\n        return [\n            datasets.SplitGenerator(datasets.Split.TRAIN, gen_kwargs={"filepath": dl_path["train"]}),\n            datasets.SplitGenerator(datasets.Split.VALIDATION, gen_kwargs={"filepath": dl_path["validation"]}),\n        ]\n\n    def _generate_examples(self, filepath):\n        with open(filepath, "r", encoding="utf-8") as f:\n            for i, line in enumerate(f):\n                yield i, json.loads(line)\n'''
@pytest.fixture
def 							A_     ():

					'''simple docstring'''





					return DATASET_LOADING_SCRIPT_NAME
@pytest.fixture
def 							A_     ():

					'''simple docstring'''





					return DATASET_LOADING_SCRIPT_CODE




@pytest.fixture
def 							A_     (__a				,   __a				,   __a				):

					'''simple docstring'''





					A_				 =						dataset_loading_script_name
					A_				 =						tmp_path / "datasets" / script_name
					script_dir.mkdir(parents=UpperCamelCase__				)
					A_				 =						script_dir / f'{script_name}.py'
					with open(UpperCamelCase__				,   "w"				) as f:
										f.write(UpperCamelCase__				)
					return str(UpperCamelCase__				)






"""simple docstring"""





import torch
def 							A_     ():

					'''simple docstring'''





					if torch.cuda.is_available():
										A_				 =						torch.cuda.device_count()
					else:
										A_				 =						0
					print(f'Successfully ran on {num_gpus} GPUs'				)


if __name__ == "__main__":
		main()




