

from math import factorial

def       __snake_case						( __UpperCamelCase	: int				,__UpperCamelCase	: int				,__UpperCamelCase	: float    ):



      """simple docstring"""

      if successes > trials:
            raise ValueError("successes must be lower or equal to trials"    )
      if trials < 0 or successes < 0:
            raise ValueError("the function is defined for non-negative integers"    )
      if not isinstance(__UpperCamelCase				,__UpperCamelCase    ) or not isinstance(__UpperCamelCase				,__UpperCamelCase    ):
            raise ValueError("the function is defined for non-negative integers"    )
      if not 0 < prob < 1:
            raise ValueError("prob has to be in range of 1 - 0"    )
      A_						  =				(prob**successes) * ((1 - prob) ** (trials - successes))
      # Calculate the binomial coefficient: n! / k!(n-k)!
      A_						  =				float(factorial(__UpperCamelCase    )    )
      coefficient /= factorial(__UpperCamelCase    ) * factorial(trials - successes    )
      return probability * coefficient


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

      testmod()
      print('Probability of 2 successes out of 4 trails')
      print('with probability of 0.75 is:', end=' ')
      print(binomial_distribution(2, 4, 0.75))

"""simple docstring"""




import argparse
import importlib
from pathlib import Path


# Test all the extensions added in the setup
A__ :       Optional[int]				= [
    'kernels/rwkv/wkv_cuda.cu',
    'kernels/rwkv/wkv_op.cpp',
    'kernels/deformable_detr/ms_deform_attn.h',
    'kernels/deformable_detr/cuda/ms_deform_im2col_cuda.cuh',
    'models/graphormer/algos_graphormer.pyx',
]




def 			_lowerCAmelCase		(		_UpperCamelCase    ):






  """simple docstring"""



  for file in FILES_TO_FIND:
    if not (transformers_path / file).exists():
      return False
  return True


if __name__ == "__main__":
  A__ :       List[Any]				= argparse.ArgumentParser()
  parser.add_argument('--check_lib', action='store_true', help='Whether to check the build or the actual package.')
  A__ :       Optional[int]				= parser.parse_args()
  if args.check_lib:
    A__ :       Union[str, Any]				= importlib.import_module('transformers')
    A__ :       Optional[Any]				= Path(transformers_module.__file__).parent
  else:
    A__ :       str				= Path.cwd() / 'build/lib/transformers'
  if not test_custom_files_are_present(transformers_path):
    raise ValueError('The built release does not contain the custom files. Fix this before going further!')
