


from typing import List

import numpy as np







def 	SCREAMING_SNAKE_CASE_						(      __A			:      dict    )     ->		int:

       """simple docstring"""

       a_ :		Tuple							=  {key: len(__A    ) for key, value in gen_kwargs.items() if isinstance(__A  ,   __A    )}
       if len(set(lists_lengths.values()    )    ) > 1:
              raise RuntimeError(
                  (
                      'Sharding is ambiguous for this dataset: '
                      + 'we found several data sources lists of different lengths, and we don\'t know over which list we should parallelize:\n'
                      + '\n'.join(F"""\t- key {key} has length {length}""" for key, length in lists_lengths.items()    )
                      + '\nTo fix this, check the \'gen_kwargs\' and make sure to use lists only for data sources, '
                      + 'and use tuples otherwise. In the end there should only be one single list, or several lists with the same length.'
                  )    )
       a_ :		Union[str, Any]							=  max(lists_lengths.values()  ,   default=0    )
       return max(1  ,   __A    )







def 	SCREAMING_SNAKE_CASE_						(      __A			:      int  ,   __A			:      int    )     ->		List[range]:

       """simple docstring"""

       a_ :		str							=  []
       for group_idx in range(__A    ):
              a_ :		Optional[Any]							=  num_shards // max_num_jobs + (group_idx < (num_shards % max_num_jobs))
              if num_shards_to_add == 0:
                     break
              a_ :		Union[str, Any]							=  shards_indices_per_group[-1].stop if shards_indices_per_group else 0
              a_ :		Dict							=  range(__A  ,   start + num_shards_to_add    )
              shards_indices_per_group.append(__A    )
       return shards_indices_per_group







def 	SCREAMING_SNAKE_CASE_						(      __A			:      dict  ,   __A			:      int    )     ->		List[dict]:

       """simple docstring"""

       a_ :		str							=  _number_of_shards_in_gen_kwargs(__A    )
       if num_shards == 1:
              return [dict(__A    )]
       else:
              a_ :		int							=  _distribute_shards(num_shards=__A  ,   max_num_jobs=__A    )
              return [
                  {
                      key: [value[shard_idx] for shard_idx in shard_indices_per_group[group_idx]]
                      if isinstance(__A  ,   __A    )
                      else value
                      for key, value in gen_kwargs.items()
                  }
                  for group_idx in range(len(__A    )    )
              ]







def 	SCREAMING_SNAKE_CASE_						(      __A			:      List[dict]    )     ->		dict:

       """simple docstring"""

       return {
           key: [value for gen_kwargs in gen_kwargs_list for value in gen_kwargs[key]]
           if isinstance(gen_kwargs_list[0][key]  ,   __A    )
           else gen_kwargs_list[0][key]
           for key in gen_kwargs_list[0]
       }







def 	SCREAMING_SNAKE_CASE_						(      __A			:      np.random.Generator  ,   __A			:      dict    )     ->		dict:

       """simple docstring"""

       a_ :		Union[str, Any]							=  {len(__A    ) for value in gen_kwargs.values() if isinstance(__A  ,   __A    )}
       a_ :		List[str]							=  {}
       for size in list_sizes:
              a_ :		int							=  list(range(__A    )    )
              rng.shuffle(indices_per_size[size]    )
       # Now let's copy the gen_kwargs and shuffle the lists based on their sizes
       a_ :		Any							=  dict(__A    )
       for key, value in shuffled_kwargs.items():
              if isinstance(__A  ,   __A    ):
                     a_ :		Dict							=  [value[i] for i in indices_per_size[len(__A    )]]
       return shuffled_kwargs






def 	SCREAMING_SNAKE_CASE_						(      __A			:      int    )     ->		int:

       """simple docstring"""

       if not isinstance(__A  ,   __A    ):
              raise ValueError('Input must be an integer'    )
       if input_num <= 0:
              raise ValueError('Input must be positive'    )
       return sum(
           divisor for divisor in range(1  ,   input_num // 2 + 1    ) if input_num % divisor == 0    )


if __name__ == "__main__":
   import doctest

   doctest.testmod()


