




import json
import os
import tempfile

import datasets
from utils import generate_example_dataset, get_duration


a_ :    Any										=       50_0000

a_ :    int										=       os.path.split(__file__)
a_ :    Optional[Any]										=       os.path.join(RESULTS_BASEPATH, "results", RESULTS_FILENAME.replace(".py", ".json"))




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

    """simple docstring"""


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




@get_duration
def    __SCREAMING_SNAKE_CASE				(					lowercase_ )    ->		Dict:

    """simple docstring"""


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




@get_duration
def    __SCREAMING_SNAKE_CASE				(					lowercase_ )    ->		Any:

    """simple docstring"""


    __UpperCamelCase											=  dataset.shuffle()




@get_duration
def    __SCREAMING_SNAKE_CASE				(					lowercase_ )    ->		int:

    """simple docstring"""


    __UpperCamelCase											=  dataset.train_test_split(0.1 )




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

    """simple docstring"""


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




def    __SCREAMING_SNAKE_CASE				(					)    ->		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(A_   ,       '''dataset.arrow''' )   ,       A_   ,       num_examples=A_ )
        print('''Functions''' )
        for func in functions:
            print(func.__name__ )
            __UpperCamelCase											=  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()












def    __SCREAMING_SNAKE_CASE				(					lowercase_ )    ->		int:

    """simple docstring"""


    if not isinstance(lowercase_   ,       lowercase_ ):
        raise TypeError('''recursive_lucas_number accepts only integer arguments.''' )
    if n_th_number == 0:
        return 2
    if n_th_number == 1:
        return 1

    return recursive_lucas_number(n_th_number - 1 ) + recursive_lucas_number(
        n_th_number - 2 )




def    __SCREAMING_SNAKE_CASE				(					lowercase_ )    ->		int:

    """simple docstring"""


    if not isinstance(lowercase_   ,       lowercase_ ):
        raise TypeError('''dynamic_lucas_number accepts only integer arguments.''' )
    __UpperCamelCase						, __UpperCamelCase											=  2, 1
    for _ in range(lowercase_ ):
        __UpperCamelCase						, __UpperCamelCase											=  b, a + b
    return a


if __name__ == "__main__":
 from doctest import testmod

 testmod()
 a_										=       int(input("Enter the number of terms in lucas series:\n").strip())
 print("Using recursive function to calculate lucas series:")
 print(" ".join(str(recursive_lucas_number(i)) for i in range(n)))
 print("\nUsing dynamic function to calculate lucas series:")
 print(" ".join(str(dynamic_lucas_number(i)) for i in range(n)))






