





'''simple docstring'''





from typing import List

import numpy as np




def  lowerCAmelCase_ (							UpperCamelCase_  )     ->		int:
       UpperCamelCase_          =  {key: len(UpperCamelCase_  ) for key, value in gen_kwargs.items() if isinstance(UpperCamelCase_					,		UpperCamelCase_  )}
       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."
                  )  )
       UpperCamelCase_          =  max(lists_lengths.values()					,		default=0  )
       return max(1					,		UpperCamelCase_  )




def  lowerCAmelCase_ (							UpperCamelCase_					,		UpperCamelCase_  )     ->		List[range]:
       UpperCamelCase_          =  []
       for group_idx in range(UpperCamelCase_  ):
              UpperCamelCase_          =  num_shards // max_num_jobs + (group_idx < (num_shards % max_num_jobs))
              if num_shards_to_add == 0:
                     break
              UpperCamelCase_          =  shards_indices_per_group[-1].stop if shards_indices_per_group else 0
              UpperCamelCase_          =  range(UpperCamelCase_					,		start + num_shards_to_add  )
              shards_indices_per_group.append(UpperCamelCase_  )
       return shards_indices_per_group




def  lowerCAmelCase_ (							UpperCamelCase_					,		UpperCamelCase_  )     ->		List[dict]:
       UpperCamelCase_          =  _number_of_shards_in_gen_kwargs(UpperCamelCase_  )
       if num_shards == 1:
              return [dict(UpperCamelCase_  )]
       else:
              UpperCamelCase_          =  _distribute_shards(num_shards=UpperCamelCase_					,		max_num_jobs=UpperCamelCase_  )
              return [
                  {
                      key: [value[shard_idx] for shard_idx in shard_indices_per_group[group_idx]]
                      if isinstance(UpperCamelCase_					,		UpperCamelCase_  )
                      else value
                      for key, value in gen_kwargs.items()
                  }
                  for group_idx in range(len(UpperCamelCase_  )  )
              ]




def  lowerCAmelCase_ (							UpperCamelCase_  )     ->		dict:
       return {
           key: [value for gen_kwargs in gen_kwargs_list for value in gen_kwargs[key]]
           if isinstance(gen_kwargs_list[0][key]					,		UpperCamelCase_  )
           else gen_kwargs_list[0][key]
           for key in gen_kwargs_list[0]
       }







def  lowerCAmelCase_ (							UpperCamelCase_					,		UpperCamelCase_  )     ->		dict:
       UpperCamelCase_          =  {len(UpperCamelCase_  ) for value in gen_kwargs.values() if isinstance(UpperCamelCase_					,		UpperCamelCase_  )}
       UpperCamelCase_          =  {}
       for size in list_sizes:
              UpperCamelCase_          =  list(range(UpperCamelCase_  )  )
              rng.shuffle(indices_per_size[size]  )
       # Now let's copy the gen_kwargs and shuffle the lists based on their sizes
       UpperCamelCase_          =  dict(UpperCamelCase_  )
       for key, value in shuffled_kwargs.items():
              if isinstance(UpperCamelCase_					,		UpperCamelCase_  ):
                     UpperCamelCase_          =  [value[i] for i in indices_per_size[len(UpperCamelCase_  )]]
       return shuffled_kwargs








_UpperCAmelCase        =				{
    'a': 'AAAAA',
    'b': 'AAAAB',
    'c': 'AAABA',
    'd': 'AAABB',
    'e': 'AABAA',
    'f': 'AABAB',
    'g': 'AABBA',
    'h': 'AABBB',
    'i': 'ABAAA',
    'j': 'BBBAA',
    'k': 'ABAAB',
    'l': 'ABABA',
    'm': 'ABABB',
    'n': 'ABBAA',
    'o': 'ABBAB',
    'p': 'ABBBA',
    'q': 'ABBBB',
    'r': 'BAAAA',
    's': 'BAAAB',
    't': 'BAABA',
    'u': 'BAABB',
    'v': 'BBBAB',
    'w': 'BABAA',
    'x': 'BABAB',
    'y': 'BABBA',
    'z': 'BABBB',
    ' ': ' ',
}


_UpperCAmelCase        =				{value: key for key, value in encode_dict.items()}




def  lowerCAmelCase_ (							UpperCamelCase_  )     ->		str:
       UpperCamelCase_          =  ""
       for letter in word.lower():
              if letter.isalpha() or letter == " ":
                     encoded += encode_dict[letter]
              else:
                     raise Exception("encode() accepts only letters of the alphabet and spaces"  )
       return encoded




def  lowerCAmelCase_ (							UpperCamelCase_  )     ->		str:
       if set(UpperCamelCase_  ) - {"A", "B", " "} != set():
              raise Exception("decode() accepts only 'A', 'B' and spaces"  )
       UpperCamelCase_          =  ""
       for word in coded.split():
              while len(UpperCamelCase_  ) != 0:
                     decoded += decode_dict[word[:5]]
                     UpperCamelCase_          =  word[5:]
              decoded += " "
       return decoded.strip()


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

     testmod()

