




import json
import os
import tempfile

import datasets
from utils import generate_example_dataset, get_duration


a_ 		=  50_0000

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




@get_duration
def        __SCREAMING_SNAKE_CASE (	lowercase_   )							->						List[str]:

    """simple docstring"""


    __UpperCamelCase			=    dataset.select(range(0       ,  len(lowercase_   )       ,  2   )   )




@get_duration
def        __SCREAMING_SNAKE_CASE (	lowercase_   )							->						Optional[Any]:

    """simple docstring"""


    __UpperCamelCase			=    dataset.sort('''numbers'''   )




@get_duration
def        __SCREAMING_SNAKE_CASE (	lowercase_   )							->						Optional[Any]:

    """simple docstring"""


    __UpperCamelCase			=    dataset.shuffle()




@get_duration
def        __SCREAMING_SNAKE_CASE (	lowercase_   )							->						str:

    """simple docstring"""


    __UpperCamelCase			=    dataset.train_test_split(0.1   )




@get_duration
def        __SCREAMING_SNAKE_CASE (	lowercase_       ,  lowercase_=10   )							->						Any:

    """simple docstring"""


    for shard_id in range(lowercase_   ):
        __UpperCamelCase			=    dataset.shard(lowercase_       ,  lowercase_   )




def        __SCREAMING_SNAKE_CASE (	)							->						Union[str, Any]:

    """simple docstring"""


    __UpperCamelCase			=    {'''num examples''': SPEED_TEST_N_EXAMPLES}
    __UpperCamelCase			=    (select, sort, shuffle, train_test_split, shard)
    with tempfile.TemporaryDirectory() as tmp_dir:
        print('''generating dataset'''   )
        __UpperCamelCase			=    datasets.Features({'''text''': datasets.Value('''string'''   ), '''numbers''': datasets.Value('''float32'''   )}   )
        __UpperCamelCase			=    generate_example_dataset(
            os.path.join(lowercase_       ,  '''dataset.arrow'''   )       ,  lowercase_       ,  num_examples=lowercase_   )
        print('''Functions'''   )
        for func in functions:
            print(func.__name__   )
            __UpperCamelCase			=    func(lowercase_   )

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


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












"""simple docstring"""





_lowercase						   =     {0: [1, 2], 1: [0, 3], 2: [0], 3: [1], 4: [5, 6], 5: [4, 6], 6: [4, 5]}

_lowercase						   =     {0: [1, 2, 3], 1: [0, 3], 2: [0], 3: [0, 1], 4: [], 5: []}

def 		lowerCAmelCase				(			lowerCamelCase   ,      lowerCamelCase   ,      lowerCamelCase		):
						'''simple docstring'''


						snake_case__							:       Any				      =       True
						snake_case__							:       int				      =       []

						for neighbour in graph[vert]:
												if not visited[neighbour]:
																		connected_verts += dfs(lowerCamelCase   ,      lowerCamelCase   ,      lowerCamelCase		)

						return [vert, *connected_verts]

def 		lowerCAmelCase				(			lowerCamelCase		):
						'''simple docstring'''


						snake_case__							:       Optional[int]				      =       len(lowerCamelCase		)
						snake_case__							:       str				      =       graph_size * [False]
						snake_case__							:       List[str]				      =       []

						for i in range(lowerCamelCase		):
												if not visited[i]:
																		snake_case__							:       Dict				      =       dfs(lowerCamelCase   ,      lowerCamelCase   ,      lowerCamelCase		)
																		components_list.append(lowerCamelCase		)

						return components_list


if __name__ == "__main__":
							import doctest

							doctest.testmod()


