




'''simple docstring'''







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


A     =logging.get_logger(__name__)

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


class 			_a  (	UpperCamelCase__ ):
       __a				:     Union[str, Any]   				=					"""switch_transformers"""
       __a				:     Tuple   				=					["""past_key_values"""]
       __a				:     Any   				=					{"""hidden_size""": """d_model""", """num_attention_heads""": """num_heads""", """num_hidden_layers""": """num_layers"""}
       def __init__(	self						:	Tuple   ,				lowercase						:	List[str]=32_128   ,				lowercase						:	Optional[Any]=768   ,				lowercase						:	int=64   ,				lowercase						:	List[str]=2_048   ,				lowercase						:	List[Any]=64   ,				lowercase						:	Union[str, Any]=12   ,				lowercase						:	List[str]=3   ,				lowercase						:	Dict=12   ,				lowercase						:	str=3   ,				lowercase						:	Dict=12   ,				lowercase						:	str=8   ,				lowercase						:	Any=False   ,				lowercase						:	Any=0.01   ,				lowercase						:	str="float32"   ,				lowercase						:	Dict=False   ,				lowercase						:	Union[str, Any]=32   ,				lowercase						:	Dict=128   ,				lowercase						:	List[str]=0.1   ,				lowercase						:	Any=1E-6   ,				lowercase						:	str=0.001   ,				lowercase						:	str=0.001   ,				lowercase						:	Optional[int]=1.0   ,				lowercase						:	int="relu"   ,				lowercase						:	Union[str, Any]=True   ,				lowercase						:	Any=False   ,				lowercase						:	List[str]=True   ,				lowercase						:	Any=0   ,				lowercase						:	Dict=1   ,				**lowercase						:	str   ,				):



           '''simple docstring'''

           UpperCAmelCase			       =		vocab_size
           UpperCAmelCase			       =		d_model
           UpperCAmelCase			       =		d_kv
           UpperCAmelCase			       =		d_ff

           UpperCAmelCase			       =		num_sparse_encoder_layers

           UpperCAmelCase			       =		num_layers
           UpperCAmelCase			       =		(
               num_decoder_layers if num_decoder_layers is not None else self.num_layers
           )  # default = symmetry
           UpperCAmelCase			       =		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:
               UpperCAmelCase			       =		self.num_layers // self.num_sparse_encoder_layers
           else:
               UpperCAmelCase			       =		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:
               UpperCAmelCase			       =		self.num_decoder_layers // self.num_sparse_decoder_layers
           else:
               UpperCAmelCase			       =		self.num_decoder_layers  # HACK: this will create 0 sparse layers

           UpperCAmelCase			       =		num_heads
           UpperCAmelCase			       =		num_experts
           UpperCAmelCase			       =		expert_capacity
           UpperCAmelCase			       =		router_bias
           UpperCAmelCase			       =		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}"				)
           UpperCAmelCase			       =		router_dtype

           UpperCAmelCase			       =		router_ignore_padding_tokens
           UpperCAmelCase			       =		relative_attention_num_buckets
           UpperCAmelCase			       =		relative_attention_max_distance

           UpperCAmelCase			       =		dropout_rate
           UpperCAmelCase			       =		layer_norm_epsilon
           UpperCAmelCase			       =		initializer_factor
           UpperCAmelCase			       =		feed_forward_proj
           UpperCAmelCase			       =		use_cache
           UpperCAmelCase			       =		add_router_probs

           UpperCAmelCase			       =		router_z_loss_coef
           UpperCAmelCase			       =		router_aux_loss_coef

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

           if len(lowercase_				) > 1 and act_info[0] != "gated" or len(lowercase_				) > 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":
               UpperCAmelCase			       =		'''gelu_new'''

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











'''simple docstring'''

def 						UpperCamelCase				(							_lowerCamelCase					:					int | float | str       ):
    try:
        A__				=			float(_lowerCamelCase       )
    except ValueError:
        raise ValueError("Please enter a valid number"       )
    A__				=			decimal - int(_lowerCamelCase       )
    if fractional_part == 0:
        return int(_lowerCamelCase       ), 1
    else:
        A__				=			len(str(_lowerCamelCase       ).split("."       )[1]       )
        A__				=			int(decimal * (10**number_of_frac_digits)       )
        A__				=			10**number_of_frac_digits
        A__,	A__				=			denominator, numerator
        while True:
            A__				=			dividend % divisor
            if remainder == 0:
                break
            A__,	A__				=			divisor, remainder
        A__,	A__				=			numerator / divisor, denominator / divisor
        return int(_lowerCamelCase       ), int(_lowerCamelCase       )


if __name__ == "__main__":
  print(f"""{decimal_to_fraction(2) = }""")
  print(f"""{decimal_to_fraction(89.0) = }""")
  print(f"""{decimal_to_fraction("67") = }""")
  print(f"""{decimal_to_fraction("45.0") = }""")
  print(f"""{decimal_to_fraction(1.5) = }""")
  print(f"""{decimal_to_fraction("6.25") = }""")
  print(f"""{decimal_to_fraction("78td") = }""")



