




from typing import Callable, Optional

from .. import Features
from ..packaged_modules.generator.generator import Generator
from .abc import AbstractDatasetInputStream







class 				lowerCAmelCase_       (					lowerCamelCase_							):






				def __init__(			self      ,snake_case__      ,snake_case__ = None      ,snake_case__ = None      ,snake_case__ = False      ,snake_case__ = False      ,snake_case__ = None      ,snake_case__ = None      ,**snake_case__      ,):
							super().__init__(
							    features=snake_case__      ,cache_dir=snake_case__      ,keep_in_memory=snake_case__      ,streaming=snake_case__      ,num_proc=snake_case__      ,**snake_case__      ,)
							SCREAMING_SNAKE_CASE_   : Optional[int]					  =      Generator(
							    cache_dir=snake_case__      ,features=snake_case__      ,generator=snake_case__      ,gen_kwargs=snake_case__      ,**snake_case__      ,)






				def 		snake_case	(			self ):
							# Build iterable dataset
							if self.streaming:
										SCREAMING_SNAKE_CASE_   : Dict					  =      self.builder.as_streaming_dataset(split='train' )
							# Build regular (map-style) dataset
							else:
										SCREAMING_SNAKE_CASE_   : Optional[int]					  =      None
										SCREAMING_SNAKE_CASE_   : Union[str, Any]					  =      None
										SCREAMING_SNAKE_CASE_   : List[str]					  =      None
										SCREAMING_SNAKE_CASE_   : Optional[Any]					  =      None

										self.builder.download_and_prepare(
										    download_config=snake_case__      ,download_mode=snake_case__      ,verification_mode=snake_case__      ,base_path=snake_case__      ,num_proc=self.num_proc      ,)
										SCREAMING_SNAKE_CASE_   : Union[str, Any]					  =      self.builder.as_dataset(
										    split='train'      ,verification_mode=snake_case__      ,in_memory=self.keep_in_memory )
							return dataset









def        __UpperCAmelCase						(							lowerCamelCase_ :     List[str]  ,							lowerCamelCase_ :     Optional[Any]  )       ->  int:







			"""simple docstring"""





			SCREAMING_SNAKE_CASE_   : List[Any]					  =      [0 for i in range(r + 1  )]
			# nc0 = 1
			SCREAMING_SNAKE_CASE_   : Dict					  =      1
			for i in range(1  ,							n + 1  ):
						# to compute current row from previous row.
						SCREAMING_SNAKE_CASE_   : Optional[int]					  =      min(lowerCamelCase_  ,							lowerCamelCase_  )
						while j > 0:
									c[j] += c[j - 1]
									j -= 1
			return c[r]




print(binomial_coefficient(n=10, r=5))



