


from typing import TypeVar

from .arrow_dataset import Dataset, _split_by_node_map_style_dataset
from .iterable_dataset import IterableDataset, _split_by_node_iterable_dataset


__UpperCamelCase					:	Dict          =				TypeVar('DatasetType', Dataset, IterableDataset)
def   snake_case_    (			__lowercase      ,							__lowercase      ,							__lowercase							):
   if isinstance(__lowercase      ,							__lowercase							):
      return _split_by_node_map_style_dataset(__lowercase      ,							rank=__lowercase      ,							world_size=__lowercase							)
   else:
      return _split_by_node_iterable_dataset(__lowercase      ,							rank=__lowercase      ,							world_size=__lowercase							)



def   snake_case_    (			__lowercase      ,							__lowercase      ,							__lowercase      ,							__lowercase							):
   UpperCAmelCase_				:   Optional[int]							= int((lower_bound + upper_bound) // 2							)
   if array[r] == value:
      return r
   if lower_bound >= upper_bound:
      return -1
   if array[r] < value:
      return binary_search(__lowercase      ,							r + 1      ,							__lowercase      ,							__lowercase							)
   else:
      return binary_search(__lowercase      ,							__lowercase      ,							r - 1      ,							__lowercase							)
def   snake_case_    (			__lowercase      ,							__lowercase							):
   UpperCAmelCase_				:   Union[str, Any]							= 0
   if matrix[index][0] == value:
      return [index, 0]
   while index < len(__lowercase							) and matrix[index][0] < value:
      UpperCAmelCase_				:   str							= binary_search(matrix[index]      ,							0      ,							len(matrix[index]							) - 1      ,							__lowercase							)
      if r != -1:
         return [index, r]
      index += 1
   return [-1, -1]


if __name__ == "__main__":
       import doctest

       doctest.testmod()