

import json
import os
import tempfile

import datasets
from utils import generate_example_dataset, get_duration


_SCREAMING_SNAKE_CASE							 =			5_0_0_0_0_0

_SCREAMING_SNAKE_CASE ,			_SCREAMING_SNAKE_CASE							 =			os.path.split(__file__)
_SCREAMING_SNAKE_CASE							 =			os.path.join(RESULTS_BASEPATH, '''results''', RESULTS_FILENAME.replace('''.py''', '''.json'''))





@get_duration
def  _snake_case		(snake_case_					:     Tuple  )							->		int:
  __UpperCAmelCase	:  Optional[Any]		=     dataset.select(range(0    ,       len(SCREAMING_SNAKE_CASE_  )    ,       2  )  )





@get_duration
def  _snake_case		(snake_case_					:     int  )							->		int:
  __UpperCAmelCase	:  Dict		=     dataset.sort('numbers'  )





@get_duration
def  _snake_case		(snake_case_					:     int  )							->		List[Any]:
  __UpperCAmelCase	:  int		=     dataset.shuffle()





@get_duration
def  _snake_case		(snake_case_					:     Any  )							->		List[Any]:
  __UpperCAmelCase	:  Tuple		=     dataset.train_test_split(0.1  )





@get_duration
def  _snake_case		(snake_case_					:     Union[str, Any]    ,       snake_case_					:     int=10  )							->		str:
  for shard_id in range(SCREAMING_SNAKE_CASE_  ):
    __UpperCAmelCase	:  Optional[int]		=     dataset.shard(SCREAMING_SNAKE_CASE_    ,       SCREAMING_SNAKE_CASE_  )





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

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


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












import pytest

from datasets.utils.version import Version


@pytest.mark.parametrize(
    '''other, expected_equality'''				,							[
        (Version('''1.0.0'''		), True),
        ('''1.0.0''', True),
        (Version('''2.0.0'''		), False),
        ('''2.0.0''', False),
        ('''1''', False),
        ('''a''', False),
        (1, False),
        (None, False),
    ]				,							)
def        A__						(							SCREAMING_SNAKE_CASE_				,							SCREAMING_SNAKE_CASE_		) ->  Optional[int]:
		lowerCamelCase :			str    		=Version('''1.0.0'''		)
		assert (version == other) is expected_equality
		assert (version != other) is not expected_equality
		assert (hash(SCREAMING_SNAKE_CASE_		) == hash(SCREAMING_SNAKE_CASE_		)) is expected_equality

