


"""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 _lowerCAmelCase    (				snake_case_     ):
   __UpperCAmelCase			:	str							  =  '''switch_transformers'''
   __UpperCAmelCase			:	List[str]							  =  ['''past_key_values''']
   __UpperCAmelCase			:	Any							  =  {'''hidden_size''': '''d_model''', '''num_attention_heads''': '''num_heads''', '''num_hidden_layers''': '''num_layers'''}







   def __init__(     self						,     UpperCamelCase__=3_2128						,     UpperCamelCase__=768						,     UpperCamelCase__=64						,     UpperCamelCase__=2048						,     UpperCamelCase__=64						,     UpperCamelCase__=12						,     UpperCamelCase__=3						,     UpperCamelCase__=12						,     UpperCamelCase__=3						,     UpperCamelCase__=12						,     UpperCamelCase__=8						,     UpperCamelCase__=False						,     UpperCamelCase__=0.01						,     UpperCamelCase__="float32"						,     UpperCamelCase__=False						,     UpperCamelCase__=32						,     UpperCamelCase__=128						,     UpperCamelCase__=0.1						,     UpperCamelCase__=1e-6						,     UpperCamelCase__=0.001						,     UpperCamelCase__=0.001						,     UpperCamelCase__=1.0						,     UpperCamelCase__="relu"						,     UpperCamelCase__=True						,     UpperCamelCase__=False						,     UpperCamelCase__=True						,     UpperCamelCase__=0						,     UpperCamelCase__=1						,     **UpperCamelCase__						,     )     ->		Dict:

       '''simple docstring'''




       snake_case   :				List[Any]				 =   vocab_size
       snake_case   :				Any				 =   d_model
       snake_case   :				int				 =   d_kv
       snake_case   :				List[str]				 =   d_ff

       snake_case   :				List[Any]				 =   num_sparse_encoder_layers

       snake_case   :				Dict				 =   num_layers
       snake_case   :				Optional[int]				 =   (
           num_decoder_layers if num_decoder_layers is not None else self.num_layers
       )  # default = symmetry
       snake_case   :				int				 =   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   :				Optional[Any]				 =   self.num_layers // self.num_sparse_encoder_layers
       else:
           snake_case   :				List[Any]				 =   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   :				Tuple				 =   self.num_decoder_layers // self.num_sparse_decoder_layers
       else:
           snake_case   :				int				 =   self.num_decoder_layers  # HACK: this will create 0 sparse layers

       snake_case   :				Optional[Any]				 =   num_heads
       snake_case   :				Any				 =   num_experts
       snake_case   :				Union[str, Any]				 =   expert_capacity
       snake_case   :				Any				 =   router_bias
       snake_case   :				Dict				 =   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   :				Union[str, Any]				 =   router_dtype

       snake_case   :				Dict				 =   router_ignore_padding_tokens
       snake_case   :				Optional[Any]				 =   relative_attention_num_buckets
       snake_case   :				List[str]				 =   relative_attention_max_distance

       snake_case   :				List[Any]				 =   dropout_rate
       snake_case   :				Union[str, Any]				 =   layer_norm_epsilon
       snake_case   :				Optional[Any]				 =   initializer_factor
       snake_case   :				List[str]				 =   feed_forward_proj
       snake_case   :				Optional[int]				 =   use_cache
       snake_case   :				List[str]				 =   add_router_probs

       snake_case   :				Optional[int]				 =   router_z_loss_coef
       snake_case   :				List[str]				 =   router_aux_loss_coef

       snake_case   :				Optional[int]				 =   self.feed_forward_proj.split("-"						)
       snake_case   :				Tuple				 =   act_info[-1]
       snake_case   :				Any				 =   act_info[0] == "gated"

       if len(UpperCamelCase__						) > 1 and act_info[0] != "gated" or len(UpperCamelCase__						) > 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   :				Union[str, Any]				 =   "gelu_new"

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









"""simple docstring"""



import string







def   __lowerCAmelCase						(						lowercase  :  str			)     ->						str:


    """simple docstring"""





    snake_case   :				List[str]				 =   ""
    for i in sequence:
        snake_case   :				Optional[Any]				 =   ord(lowercase			)
        if 65 <= extract <= 90:
            output += chr(155 - extract			)
        elif 97 <= extract <= 122:
            output += chr(219 - extract			)
        else:
            output += i
    return output







def   __lowerCAmelCase						(						lowercase  :  str			)     ->						str:


    """simple docstring"""





    snake_case   :				Dict				 =   string.ascii_letters
    snake_case   :				List[Any]				 =   string.ascii_lowercase[::-1] + string.ascii_uppercase[::-1]
    return "".join(
        letters_reversed[letters.index(lowercase			)] if c in letters else c for c in sequence			)







def   __lowerCAmelCase						(						)     ->						None:


    """simple docstring"""





    from timeit import timeit

    print("Running performance benchmarks..."			)
    snake_case   :				Optional[int]				 =   "from string import printable ; from __main__ import atbash, atbash_slow"
    print(F'> atbash_slow(): {timeit("atbash_slow(printable)"						,							setup=lowercase			)} seconds'			)
    print(F'>      atbash(): {timeit("atbash(printable)"						,							setup=lowercase			)} seconds'			)


if __name__ == "__main__":
  for example in ("ABCDEFGH", "123GGjj", "testStringtest", "with space"):
    print(F'''{example} encrypted in atbash: {atbash(example)}''')
  benchmark()





