






'''simple docstring'''





import timeit

import numpy as np

import datasets
from datasets.arrow_writer import ArrowWriter
from datasets.features.features import _ArrayXD







def      snake_case		(							UpperCAmelCase	:       Tuple   ):
				def wrapper(*UpperCAmelCase	:       List[str],						**UpperCAmelCase	:       str   ):
								A	 =      timeit.default_timer()
								A	 =      func(*UpperCAmelCase,						**UpperCAmelCase   )
								A	 =      timeit.default_timer() - starttime
								return delta

				A	 =      func.__name__

				return wrapper







def      snake_case		(							UpperCAmelCase	:       dict,						UpperCAmelCase	:       int=1_00,						UpperCAmelCase	:       Optional[Any]=None   ):
				A	 =      []
				A	 =      seq_shapes or {}
				for i in range(UpperCAmelCase   ):
								A	 =      {}
								for col_id, (k, v) in enumerate(features.items()   ):
												if isinstance(UpperCAmelCase,						_ArrayXD   ):
																A	 =      np.random.rand(*v.shape   ).astype(v.dtype   )
												elif isinstance(UpperCAmelCase,						datasets.Value   ):
																if v.dtype == "string":
																				A	 =      'The small grey turtle was surprisingly fast when challenged.'
																else:
																				A	 =      np.random.randint(10,						size=1   ).astype(v.dtype   ).item()
												elif isinstance(UpperCAmelCase,						datasets.Sequence   ):
																while isinstance(UpperCAmelCase,						datasets.Sequence   ):
																				A	 =      v.feature
																A	 =      seq_shapes[k]
																A	 =      np.random.rand(*UpperCAmelCase   ).astype(v.dtype   )
												A	 =      data

								dummy_data.append((i, example)   )

				return dummy_data







def      snake_case		(							UpperCAmelCase	:       Union[str, Any],						UpperCAmelCase	:       Dict,						UpperCAmelCase	:       Dict=1_00,						UpperCAmelCase	:       str=None   ):
				A	 =      generate_examples(UpperCAmelCase,						num_examples=UpperCAmelCase,						seq_shapes=UpperCAmelCase   )

				with ArrowWriter(features=UpperCAmelCase,						path=UpperCAmelCase   ) as writer:
								for key, record in dummy_data:
												A	 =      features.encode_example(UpperCAmelCase   )
												writer.write(UpperCAmelCase   )

								A ,		A	 =      writer.finalize()

				if not num_final_examples == num_examples:
								raise ValueError(
								    f'Error writing the dataset, wrote {num_final_examples} examples but should have written {num_examples}.'   )

				A	 =      datasets.Dataset.from_file(filename=UpperCAmelCase,						info=datasets.DatasetInfo(features=UpperCAmelCase   )   )

				return dataset













import os


# All paths are set with the intent you should run this script from the root of the repo with the command
# python utils/check_doctest_list.py
lowerCAmelCase_           = '.'


if __name__ == "__main__":
					lowerCAmelCase_           = os.path.join(REPO_PATH, 'utils/documentation_tests.txt')
					lowerCAmelCase_           = []
					lowerCAmelCase_           = []
					with open(doctest_file_path) as fp:
										for line in fp:
															lowerCAmelCase_           = line.strip()
															lowerCAmelCase_           = os.path.join(REPO_PATH, line)
															if not (os.path.isfile(path) or os.path.isdir(path)):
																				non_existent_paths.append(line)
															all_paths.append(path)
					if len(non_existent_paths) > 0:
										lowerCAmelCase_           = '\n'.join(non_existent_paths)
										raise ValueError(f'''`utils/documentation_tests.txt` contains non-existent paths:\n{non_existent_paths}''')
					if all_paths != sorted(all_paths):
										raise ValueError('Files in `utils/documentation_tests.txt` are not in alphabetical order.')





