





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				(  __lowercase   ):
  __lowerCamelCase						=     'switch_transformers'
  __lowerCamelCase						=     ['past_key_values']
  __lowerCamelCase						=     {'hidden_size': 'd_model', 'num_attention_heads': 'num_heads', 'num_hidden_layers': 'num_layers'}







  def __init__(     self    :Optional[int]       ,				_lowercase    :Any=3_21_28       ,				_lowercase    :int=7_68       ,				_lowercase    :List[Any]=64       ,				_lowercase    :str=20_48       ,				_lowercase    :List[str]=64       ,				_lowercase    :Optional[int]=12       ,				_lowercase    :int=3       ,				_lowercase    :Any=12       ,				_lowercase    :List[str]=3       ,				_lowercase    :Union[str, Any]=12       ,				_lowercase    :Union[str, Any]=8       ,				_lowercase    :List[Any]=False       ,				_lowercase    :List[Any]=0.01       ,				_lowercase    :List[str]="float32"       ,				_lowercase    :Optional[Any]=False       ,				_lowercase    :Dict=32       ,				_lowercase    :Optional[Any]=1_28       ,				_lowercase    :Tuple=0.1       ,				_lowercase    :List[str]=1e-6       ,				_lowercase    :List[Any]=0.001       ,				_lowercase    :Any=0.001       ,				_lowercase    :Optional[int]=1.0       ,				_lowercase    :str="relu"       ,				_lowercase    :str=True       ,				_lowercase    :int=False       ,				_lowercase    :Tuple=True       ,				_lowercase    :Dict=0       ,				_lowercase    :str=1       ,				**_lowercase    :List[Any]       ,				):






     '''simple docstring'''





     lowercase__					  =    vocab_size
     lowercase__					  =    d_model
     lowercase__					  =    d_kv
     lowercase__					  =    d_ff

     lowercase__					  =    num_sparse_encoder_layers

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

     lowercase__					  =    num_heads
     lowercase__					  =    num_experts
     lowercase__					  =    expert_capacity
     lowercase__					  =    router_bias
     lowercase__					  =    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}'''   )
     lowercase__					  =    router_dtype

     lowercase__					  =    router_ignore_padding_tokens
     lowercase__					  =    relative_attention_num_buckets
     lowercase__					  =    relative_attention_max_distance

     lowercase__					  =    dropout_rate
     lowercase__					  =    layer_norm_epsilon
     lowercase__					  =    initializer_factor
     lowercase__					  =    feed_forward_proj
     lowercase__					  =    use_cache
     lowercase__					  =    add_router_probs

     lowercase__					  =    router_z_loss_coef
     lowercase__					  =    router_aux_loss_coef

     lowercase__					  =    self.feed_forward_proj.split("-"   )
     lowercase__					  =    act_info[-1]
     lowercase__					  =    act_info[0] == "gated"

     if len(SCREAMING_SNAKE_CASE_   ) > 1 and act_info[0] != "gated" or len(SCREAMING_SNAKE_CASE_   ) > 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":
        lowercase__					  =    "gelu_new"

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








"""simple docstring"""




from __future__ import annotations



def 							_lowerCamelCase			(			__a,				__a = None     ):
		SCREAMING_SNAKE_CASE_    			=			word_bank or []
		# create a table
		SCREAMING_SNAKE_CASE_    			=			len(__a     ) + 1

		SCREAMING_SNAKE_CASE_    			=			[]
		for _ in range(__a     ):
				table.append([]     )
		# seed value
		SCREAMING_SNAKE_CASE_    			=			[[]]  # because empty string has empty combination

		# iterate through the indices
		for i in range(__a     ):
				# condition
				if table[i] != []:
						for word in word_bank:
								# slice condition
								if target[i : i + len(__a     )] == word:
										SCREAMING_SNAKE_CASE_    			=			[
										    [word, *way] for way in table[i]
										]
										# adds the word to every combination the current position holds
										# now,push that combination to the table[i+len(word)]
										table[i + len(__a     )] += new_combinations

    # combinations are in reverse order so reverse for better output
		for combination in table[len(__a     )]:
				combination.reverse()

		return table[len(__a     )]


if __name__ == "__main__":
						print(all_construct('jwajalapa', ['jwa', 'j', 'w', 'a', 'la', 'lapa']))
						print(all_construct('rajamati', ['s', 'raj', 'amat', 'raja', 'ma', 'i', 't']))
						print(
						    all_construct(
						        'hexagonosaurus',
						        ['h', 'ex', 'hex', 'ag', 'ago', 'ru', 'auru', 'rus', 'go', 'no', 'o', 's'],
						    )
						)