



"""simple docstring"""






from ...configuration_utils import PretrainedConfig
from ...utils import logging


snake_case   					=				logging.get_logger(__name__)

snake_case   					=				{
    '''google/switch-base-8''': '''https://huggingface.co/google/switch-base-8/blob/main/config.json''',
}



class     UpperCAmelCase    (	__SCREAMING_SNAKE_CASE  ):
   A__		:	List[str]           =  '''switch_transformers'''
   A__		:	List[str]           =  ['''past_key_values''']
   A__		:	Any           =  {'''hidden_size''': '''d_model''', '''num_attention_heads''': '''num_heads''', '''num_hidden_layers''': '''num_layers'''}



   def __init__(       self    :	List[Any]							,       __lowerCamelCase    :	Dict=3_2_1_2_8							,       __lowerCamelCase    :	Optional[int]=7_6_8							,       __lowerCamelCase    :	List[str]=6_4							,       __lowerCamelCase    :	Optional[int]=2_0_4_8							,       __lowerCamelCase    :	Any=6_4							,       __lowerCamelCase    :	str=1_2							,       __lowerCamelCase    :	List[Any]=3							,       __lowerCamelCase    :	int=1_2							,       __lowerCamelCase    :	str=3							,       __lowerCamelCase    :	List[str]=1_2							,       __lowerCamelCase    :	int=8							,       __lowerCamelCase    :	Dict=False							,       __lowerCamelCase    :	Optional[int]=0.0_1							,       __lowerCamelCase    :	int="float32"							,       __lowerCamelCase    :	Any=False							,       __lowerCamelCase    :	Optional[int]=3_2							,       __lowerCamelCase    :	int=1_2_8							,       __lowerCamelCase    :	str=0.1							,       __lowerCamelCase    :	Dict=1E-6							,       __lowerCamelCase    :	List[str]=0.0_0_1							,       __lowerCamelCase    :	Optional[int]=0.0_0_1							,       __lowerCamelCase    :	Dict=1.0							,       __lowerCamelCase    :	Optional[int]="relu"							,       __lowerCamelCase    :	List[str]=True							,       __lowerCamelCase    :	int=False							,       __lowerCamelCase    :	Any=True							,       __lowerCamelCase    :	str=0							,       __lowerCamelCase    :	List[Any]=1							,       **__lowerCamelCase    :	Optional[int]							,       ):



     """simple docstring"""
     _snake_case   	=      vocab_size
     _snake_case   	=      d_model
     _snake_case   	=      d_kv
     _snake_case   	=      d_ff

     _snake_case   	=      num_sparse_encoder_layers

     _snake_case   	=      num_layers
     _snake_case   	=      (
         num_decoder_layers if num_decoder_layers is not None else self.num_layers
     )  # default = symmetry
     _snake_case   	=      num_sparse_decoder_layers

     # This tells us, each how many encoder layer we'll have to set a sparse layer.
     if self.num_sparse_encoder_layers > 0:
       _snake_case   	=      self.num_layers // self.num_sparse_encoder_layers
     else:
       _snake_case   	=      self.num_layers  # HACK: this will create 0 sparse layers

     # This tells us, each how many encoder layer we'll have to set a sparse layer.
     if self.num_sparse_decoder_layers > 0:
       _snake_case   	=      self.num_decoder_layers // self.num_sparse_decoder_layers
     else:
       _snake_case   	=      self.num_decoder_layers  # HACK: this will create 0 sparse layers

     _snake_case   	=      num_heads
     _snake_case   	=      num_experts
     _snake_case   	=      expert_capacity
     _snake_case   	=      router_bias
     _snake_case   	=      router_jitter_noise
     if router_dtype not in ["float32", "float16", "bfloat16"]:
       raise ValueError(f"""`router_dtype` must be one of 'float32', 'float16' or 'bfloat16', got {router_dtype}"""				)
     _snake_case   	=      router_dtype

     _snake_case   	=      router_ignore_padding_tokens
     _snake_case   	=      relative_attention_num_buckets
     _snake_case   	=      relative_attention_max_distance

     _snake_case   	=      dropout_rate
     _snake_case   	=      layer_norm_epsilon
     _snake_case   	=      initializer_factor
     _snake_case   	=      feed_forward_proj
     _snake_case   	=      use_cache
     _snake_case   	=      add_router_probs

     _snake_case   	=      router_z_loss_coef
     _snake_case   	=      router_aux_loss_coef

     _snake_case   	=      self.feed_forward_proj.split('''-'''				)
     _snake_case   	=      act_info[-1]
     _snake_case   	=      act_info[0] == '''gated'''

     if len(__lowerCamelCase				) > 1 and act_info[0] != "gated" or len(__lowerCamelCase				) > 2:
       raise ValueError(
           f"""`feed_forward_proj`: {feed_forward_proj} is not a valid activation function of the dense layer."""
           '''Please make sure `feed_forward_proj` is of the format `gated-{ACT_FN}` or `{ACT_FN}`, e.g. '''
           '''\'gated-gelu\' or \'relu\''''				)

     # for backwards compatibility
     if feed_forward_proj == "gated-gelu":
       _snake_case   	=      '''gelu_new'''

     super().__init__(
         pad_token_id=__lowerCamelCase							,       eos_token_id=__lowerCamelCase							,       is_encoder_decoder=__lowerCamelCase							,       **__lowerCamelCase							,       )













'''simple docstring'''



from timeit import timeit

__UpperCamelCase   :							int         =   {
    """MALAYALAM""": True,
    """String""": False,
    """rotor""": True,
    """level""": True,
    """A""": True,
    """BB""": True,
    """ABC""": False,
    """amanaplanacanalpanama""": True,  # "a man a plan a canal panama"
}
# Ensure our test data is valid
assert all((key == key[::-1]) is value for key, value in test_data.items())



def  __UpperCAmelCase						(					SCREAMING_SNAKE_CASE__:						str     )	->      bool:

   """simple docstring"""
   __a					  =     0
   __a					  =     len(SCREAMING_SNAKE_CASE__     ) - 1
   while start_i < end_i:
      if s[start_i] == s[end_i]:
         start_i += 1
         end_i -= 1
      else:
         return False
   return True



def  __UpperCAmelCase						(					SCREAMING_SNAKE_CASE__:						str     )	->      bool:

   """simple docstring"""
   __a					  =     len(SCREAMING_SNAKE_CASE__     ) // 2
   __a					  =     len(SCREAMING_SNAKE_CASE__     )

   # We need to traverse till half of the length of string
   # as we can get access of the i'th last element from
   # i'th index.
   # eg: [0,1,2,3,4,5] => 4th index can be accessed
   # with the help of 1st index (i==n-i-1)
   # where n is length of string
   return all(s[i] == s[n - i - 1] for i in range(SCREAMING_SNAKE_CASE__     )     )



def  __UpperCAmelCase						(					SCREAMING_SNAKE_CASE__:						str     )	->      bool:

   """simple docstring"""
   if len(SCREAMING_SNAKE_CASE__     ) <= 2:
      return True
   if s[0] == s[len(SCREAMING_SNAKE_CASE__     ) - 1]:
      return is_palindrome_recursive(s[1:-1]     )
   else:
      return False



def  __UpperCAmelCase						(					SCREAMING_SNAKE_CASE__:						str     )	->      bool:

   """simple docstring"""
   return s == s[::-1]



def  __UpperCAmelCase						(					SCREAMING_SNAKE_CASE__:						str     )	->      None:

   """simple docstring"""
   __a					  =     f"""all({name}(key) is value for key, value in test_data.items())"""
   __a					  =     f"""from __main__ import test_data, {name}"""
   __a					  =     500000
   __a					  =     timeit(stmt=SCREAMING_SNAKE_CASE__,       setup=SCREAMING_SNAKE_CASE__,       number=SCREAMING_SNAKE_CASE__     )
   print(f"""{name:<35} finished {number:,} runs in {result:.5f} seconds"""     )


if __name__ == "__main__":
 for key, value in test_data.items():
  assert is_palindrome(key) is is_palindrome_recursive(key)
  assert is_palindrome(key) is is_palindrome_slice(key)
  print(f"""{key:21} {value}""")
 print("""a man a plan a canal panama""")

 # finished 500,000 runs in 0.46793 seconds
 benchmark_function("""is_palindrome_slice""")
 # finished 500,000 runs in 0.85234 seconds
 benchmark_function("""is_palindrome""")
 # finished 500,000 runs in 1.32028 seconds
 benchmark_function("""is_palindrome_recursive""")
 # finished 500,000 runs in 2.08679 seconds
 benchmark_function("""is_palindrome_traversal""")