
"""simple docstring"""
from ...configuration_utils import PretrainedConfig
from ...utils import logging


_a   :      str       =				logging.get_logger(__name__)

_a   :      Optional[int]       =				{
    """google/reformer-crime-and-punishment""": (
        """https://huggingface.co/google/reformer-crime-and-punishment/resolve/main/config.json"""
    ),
    """google/reformer-enwik8""": """https://huggingface.co/google/reformer-enwik8/resolve/main/config.json""",
}






class   _UpperCAmelCase					(       _snake_case):
    __lowercase				:			Union[str, Any]	=       """reformer"""
    __lowercase				:			Optional[Any]	=       ["""past_buckets_states"""]
    __lowercase				:			Optional[Any]	=       {}
    def __init__(     self    ,     snake_case_=64    ,     snake_case_=["local", "lsh", "local", "lsh", "local", "lsh"]    ,     snake_case_=1.0    ,     snake_case_=True    ,     snake_case_=[64, 64]    ,     snake_case_=[64, 1_92]    ,     snake_case_=0    ,     snake_case_=2    ,     snake_case_=5_12    ,     snake_case_=None    ,     snake_case_="relu"    ,     snake_case_=0.05    ,     snake_case_=2_56    ,     snake_case_=0.02    ,     snake_case_=False    ,     snake_case_=1E-12    ,     snake_case_=1    ,     snake_case_=0    ,     snake_case_=0.05    ,     snake_case_=64    ,     snake_case_=64    ,     snake_case_=0.0    ,     snake_case_=1    ,     snake_case_=0    ,     snake_case_=40_96    ,     snake_case_=12    ,     snake_case_=None    ,     snake_case_=1    ,     snake_case_=0    ,     snake_case_=3_20    ,     snake_case_=False    ,     snake_case_=True    ,     snake_case_=None    ,     **snake_case_    ,     ):
      _snake_case  :    Any            = hash_seed
      _snake_case  :    Union[str, Any]            = vocab_size
      _snake_case  :    Dict            = attention_head_size
      _snake_case  :    List[Any]            = hidden_size
      _snake_case  :    Any            = num_attention_heads
      _snake_case  :    int            = num_hashes
      _snake_case  :    Tuple            = len(snake_case_  )
      _snake_case  :    List[Any]            = tuple(snake_case_  ) if isinstance(snake_case_    ,     snake_case_  ) else num_buckets
      _snake_case  :    Union[str, Any]            = lsh_attn_chunk_length
      _snake_case  :    List[Any]            = local_attn_chunk_length
      _snake_case  :    List[Any]            = lsh_num_chunks_after
      _snake_case  :    Optional[Any]            = lsh_num_chunks_before
      _snake_case  :    Dict            = local_num_chunks_after
      _snake_case  :    Union[str, Any]            = local_num_chunks_before
      _snake_case  :    Union[str, Any]            = hidden_act
      _snake_case  :    Tuple            = feed_forward_size
      _snake_case  :    Dict            = hidden_dropout_prob
      _snake_case  :    Optional[Any]            = lsh_attention_probs_dropout_prob
      _snake_case  :    Dict            = local_attention_probs_dropout_prob
      _snake_case  :    int            = max_position_embeddings
      _snake_case  :    Optional[Any]            = initializer_range
      _snake_case  :    Tuple            = layer_norm_eps
      _snake_case  :    Tuple            = axial_pos_embds
      _snake_case  :    List[str]            = tuple(snake_case_  )
      _snake_case  :    Optional[int]            = tuple(snake_case_  )
      _snake_case  :    int            = axial_norm_std
      _snake_case  :    Union[str, Any]            = chunk_size_lm_head
      _snake_case  :    Tuple            = attn_layers
      _snake_case  :    Dict            = use_cache
      _snake_case  :    Optional[Any]            = classifier_dropout
      super().__init__(
          pad_token_id=snake_case_    ,     eos_token_id=snake_case_    ,     is_decoder=snake_case_    ,     tie_word_embeddings=snake_case_    ,     **snake_case_    ,     )


from __future__ import annotations

def 				UpperCamelCase					(     lowerCAmelCase_ )		->    set[int]:




       '''simple docstring'''






       _A=						{1}
       _A=						[1]
       for _ in range(2							,       depth + 1 ):
              _A=						[*previous_coefficients, 0]
              _A=						[0, *previous_coefficients]
              _A=						[]
              for x, y in zip(lowerCAmelCase_							,       lowerCAmelCase_ ):
                     coefficients.add(x + y )
                     previous_coefficients.append(x + y )
       return coefficients

def 				UpperCamelCase					(     lowerCAmelCase_ )		->    set[int]:




       '''simple docstring'''






       _A=						set()
       for number in unique_coefficients:
              _A=						2
              _A=						number
              while divisor**2 <= copy_number:
                     _A=						0
                     while copy_number % divisor == 0:
                            copy_number //= divisor
                            multiplicity += 1
                     if multiplicity >= 2:
                            non_squarefrees.add(lowerCAmelCase_ )
                            break
                     divisor += 1

       return unique_coefficients.difference(lowerCAmelCase_ )

def 				UpperCamelCase					(     lowerCAmelCase_ = 51 )		->    int:




       '''simple docstring'''






       _A=						get_pascal_triangle_unique_coefficients(lowerCAmelCase_ )
       _A=						get_squarefrees(lowerCAmelCase_ )
       return sum(lowerCAmelCase_ )


if __name__ == "__main__":
      print(F"{solution() = }")