





def  lowerCAmelCase_ (							UpperCamelCase_					,		UpperCamelCase_  )     ->		float:
       _validate_point(UpperCamelCase_  )
       _validate_point(UpperCamelCase_  )
       if len(UpperCamelCase_  ) != len(UpperCamelCase_  ):
              raise ValueError("Both points must be in the same n-dimensional space"  )

       return float(sum(abs(a - b  ) for a, b in zip(UpperCamelCase_					,		UpperCamelCase_  )  )  )




def  lowerCAmelCase_ (							UpperCamelCase_  )     ->		None:
       if point:
              if isinstance(UpperCamelCase_					,		UpperCamelCase_  ):
                     for item in point:
                            if not isinstance(UpperCamelCase_					,		(int, float)  ):
                                   UpperCamelCase_          =  (
                                       "Expected a list of numbers as input, found "
                                       F'''{type(UpperCamelCase_  ).__name__}'''
                                   )
                                   raise TypeError(UpperCamelCase_  )
              else:
                     UpperCamelCase_          =  F'''Expected a list of numbers as input, found {type(UpperCamelCase_  ).__name__}'''
                     raise TypeError(UpperCamelCase_  )
       else:
              raise ValueError("Missing an input"  )




def  lowerCAmelCase_ (							UpperCamelCase_					,		UpperCamelCase_  )     ->		float:
       _validate_point(UpperCamelCase_  )
       _validate_point(UpperCamelCase_  )
       if len(UpperCamelCase_  ) != len(UpperCamelCase_  ):
              raise ValueError("Both points must be in the same n-dimensional space"  )

       return float(sum(abs(x - y  ) for x, y in zip(UpperCamelCase_					,		UpperCamelCase_  )  )  )


if __name__ == "__main__":
     import doctest

     doctest.testmod()








from typing import Optional

import pyspark

from .. import Features, NamedSplit
from ..download import DownloadMode
from ..packaged_modules.spark.spark import Spark
from .abc import AbstractDatasetReader



class 							_UpperCamelCase					(	lowerCAmelCase_     ):

       def __init__(		self: List[Any]					,   _SCREAMING_SNAKE_CASE: pyspark.sql.DataFrame					,   _SCREAMING_SNAKE_CASE: Optional[NamedSplit] = None					,   _SCREAMING_SNAKE_CASE: Optional[Features] = None					,   _SCREAMING_SNAKE_CASE: bool = True					,   _SCREAMING_SNAKE_CASE: str = None					,   _SCREAMING_SNAKE_CASE: bool = False					,   _SCREAMING_SNAKE_CASE: str = None					,   _SCREAMING_SNAKE_CASE: bool = True					,   _SCREAMING_SNAKE_CASE: str = "arrow"					,   **_SCREAMING_SNAKE_CASE: Union[str, Any]					,   )       -> Any:




              """simple docstring"""


              super().__init__(
                  split=_SCREAMING_SNAKE_CASE					,   features=_SCREAMING_SNAKE_CASE					,   cache_dir=_SCREAMING_SNAKE_CASE					,   keep_in_memory=_SCREAMING_SNAKE_CASE					,   streaming=_SCREAMING_SNAKE_CASE					,   **_SCREAMING_SNAKE_CASE					,   )
              UpperCamelCase_          =  load_from_cache_file
              UpperCamelCase_          =  file_format
              UpperCamelCase_          =  Spark(
                  df=_SCREAMING_SNAKE_CASE					,   features=_SCREAMING_SNAKE_CASE					,   cache_dir=_SCREAMING_SNAKE_CASE					,   working_dir=_SCREAMING_SNAKE_CASE					,   **_SCREAMING_SNAKE_CASE					,   )



       def lowercase (		self: str		)       -> Optional[Any]:




              """simple docstring"""


              if self.streaming:
                     return self.builder.as_streaming_dataset(split=self.split		)
              UpperCamelCase_          =  None if self._load_from_cache_file else DownloadMode.FORCE_REDOWNLOAD
              self.builder.download_and_prepare(
                  download_mode=_SCREAMING_SNAKE_CASE					,   file_format=self._file_format					,   )
              return self.builder.as_dataset(split=self.split		)

