

import json
import os
import tempfile

import datasets
from utils import generate_example_dataset, get_duration


UpperCAmelCase__	:       int			      =      500_000

UpperCAmelCase__      ,				UpperCAmelCase__	:       Dict			      =      os.path.split(__file__)
UpperCAmelCase__	:       List[str]			      =      os.path.join(RESULTS_BASEPATH, """results""", RESULTS_FILENAME.replace(""".py""", """.json"""))






@get_duration
def    __lowercase (       _A     )       ->  Optional[Any]:
      SCREAMING_SNAKE_CASE	: Optional[int]					       =				dataset.select(range(0  ,      len(_A     )  ,      2     )     )






@get_duration
def    __lowercase (       _A     )       ->  List[Any]:
      SCREAMING_SNAKE_CASE	: List[Any]					       =				dataset.sort("""numbers"""     )






@get_duration
def    __lowercase (       _A     )       ->  Any:
      SCREAMING_SNAKE_CASE	: List[str]					       =				dataset.shuffle()






@get_duration
def    __lowercase (       _A     )       ->  Dict:
      SCREAMING_SNAKE_CASE	: Union[str, Any]					       =				dataset.train_test_split(0.1     )






@get_duration
def    __lowercase (       _A  ,      _A=10     )       ->  str:
      for shard_id in range(_A     ):
            SCREAMING_SNAKE_CASE	: Any					       =				dataset.shard(_A  ,      _A     )






def    __lowercase (       )       ->  Optional[int]:
      SCREAMING_SNAKE_CASE	: List[str]					       =				{"""num examples""": SPEED_TEST_N_EXAMPLES}
      SCREAMING_SNAKE_CASE	: int					       =				(select, sort, shuffle, train_test_split, shard)
      with tempfile.TemporaryDirectory() as tmp_dir:
            print("""generating dataset"""     )
            SCREAMING_SNAKE_CASE	: Dict					       =				datasets.Features({"""text""": datasets.Value("""string"""     ), """numbers""": datasets.Value("""float32"""     )}     )
            SCREAMING_SNAKE_CASE	: Union[str, Any]					       =				generate_example_dataset(
                os.path.join(_A  ,      """dataset.arrow"""     )  ,      _A  ,      num_examples=_A     )
            print("""Functions"""     )
            for func in functions:
                  print(func.__name__     )
                  SCREAMING_SNAKE_CASE	: Tuple					       =				func(_A     )

      with open(_A  ,      """wb"""     ) as f:
            f.write(json.dumps(_A     ).encode("""utf-8"""     )     )


if __name__ == "__main__":  # useful to run the profiler
  benchmark_indices_mapping()







UpperCAmelCase__	:       Union[str, Any]			      =      """
# Installation de Transformers
! pip install transformers datasets
# Pour installer à partir du code source au lieu de la dernière version, commentez la commande ci-dessus et décommentez la suivante.
# ! pip install git+https://github.com/huggingface/transformers.git
"""

UpperCAmelCase__	:       List[Any]			      =      [{"""type""": """code""", """content""": INSTALL_CONTENT}]
UpperCAmelCase__	:       List[Any]			      =      {
    """{processor_class}""": """FakeProcessorClass""",
    """{model_class}""": """FakeModelClass""",
    """{object_class}""": """FakeObjectClass""",
}




