






from .testing import (
    are_the_same_tensors,
    execute_subprocess_async,
    require_bnb,
    require_cpu,
    require_cuda,
    require_huggingface_suite,
    require_mps,
    require_multi_gpu,
    require_multi_xpu,
    require_safetensors,
    require_single_gpu,
    require_single_xpu,
    require_torch_min_version,
    require_tpu,
    require_xpu,
    skip,
    slow,
)
from .training import RegressionDataset, RegressionModel, RegressionModelaXPU


from .scripts import test_script, test_sync, test_ops  # isort: skip












def 			_SCREAMING_SNAKE_CASE						( __lowercase   :			str = "The quick brown fox jumps over the lazy dog"			,				)						->      bool:





    """simple docstring"""

    __A         =	set()

    # Replace all the whitespace in our sentence
    __A         =	input_str.replace(""" """			,				""""""    )
    for alpha in input_str:
        if "a" <= alpha.lower() <= "z":
            frequency.add(alpha.lower()    )
    return len(__lowercase    ) == 2_6



def 			_SCREAMING_SNAKE_CASE						( __lowercase   :			str = "The quick brown fox jumps over the lazy dog"			,				)						->      bool:





    """simple docstring"""

    __A         =	[False] * 2_6
    for char in input_str:
        if char.islower():
            __A         =	True
        elif char.isupper():
            __A         =	True
    return all(__lowercase    )



def 			_SCREAMING_SNAKE_CASE						( __lowercase   :			str = "The quick brown fox jumps over the lazy dog"			,				)						->      bool:





    """simple docstring"""

    return len({char for char in input_str.lower() if char.isalpha()}    ) == 2_6



def 			_SCREAMING_SNAKE_CASE						( )						->      None:





    """simple docstring"""

    from timeit import timeit

    __A         =	"""from __main__ import is_pangram, is_pangram_faster, is_pangram_fastest"""
    print(timeit("""is_pangram()"""			,				setup=__lowercase    )    )
    print(timeit("""is_pangram_faster()"""			,				setup=__lowercase    )    )
    print(timeit("""is_pangram_fastest()"""			,				setup=__lowercase    )    )
    # 5.348480500048026, 2.6477354579837993, 1.8470395830227062
    # 5.036091582966037, 2.644472333951853,  1.8869528750656173


if __name__ == "__main__":
  import doctest

  doctest.testmod()
  benchmark()




