



"""simple docstring"""


import warnings

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


__A      :							Any   =      logging.get_logger(__name__)

__A      :							str   =      {
    "xlnet-base-cased": "https://huggingface.co/xlnet-base-cased/resolve/main/config.json",
    "xlnet-large-cased": "https://huggingface.co/xlnet-large-cased/resolve/main/config.json",
}
class 	_a       (    lowerCAmelCase):
			"""simple docstring"""
			UpperCamelCase__						=		"""xlnet"""
			UpperCamelCase__						=		["""mems"""]
			UpperCamelCase__						=		{
			    """n_token""": """vocab_size""",  # Backward compatibility
			    """hidden_size""": """d_model""",
			    """num_attention_heads""": """n_head""",
			    """num_hidden_layers""": """n_layer""",
			}



			def __init__(						self   :			Dict ,      __UpperCamelCase   :			Optional[int]=3_2_0_0_0 ,      __UpperCamelCase   :			Union[str, Any]=1_0_2_4 ,      __UpperCamelCase   :			str=2_4 ,      __UpperCamelCase   :			List[Any]=1_6 ,      __UpperCamelCase   :			Tuple=4_0_9_6 ,      __UpperCamelCase   :			Dict="gelu" ,      __UpperCamelCase   :			Optional[int]=True ,      __UpperCamelCase   :			str="bi" ,      __UpperCamelCase   :			Optional[Any]=0.0_2 ,      __UpperCamelCase   :			List[str]=1e-12 ,      __UpperCamelCase   :			List[str]=0.1 ,      __UpperCamelCase   :			List[str]=5_1_2 ,      __UpperCamelCase   :			Any=None ,      __UpperCamelCase   :			Any=True ,      __UpperCamelCase   :			List[str]=False ,      __UpperCamelCase   :			Optional[int]=False ,      __UpperCamelCase   :			Union[str, Any]=-1 ,      __UpperCamelCase   :			Optional[Any]=False ,      __UpperCamelCase   :			Dict="last" ,      __UpperCamelCase   :			str=True ,      __UpperCamelCase   :			List[Any]="tanh" ,      __UpperCamelCase   :			Tuple=0.1 ,      __UpperCamelCase   :			Optional[Any]=5 ,      __UpperCamelCase   :			int=5 ,      __UpperCamelCase   :			Union[str, Any]=5 ,      __UpperCamelCase   :			Union[str, Any]=1 ,      __UpperCamelCase   :			str=2 ,      **__UpperCamelCase   :			List[Any] ,      )->List[Any]:
							_UpperCAmelCase							=			vocab_size
							_UpperCAmelCase							=			d_model
							_UpperCAmelCase							=			n_layer
							_UpperCAmelCase							=			n_head
							if d_model % n_head != 0:
											raise ValueError(F'\'d_model % n_head\' ({d_model % n_head}) should be equal to 0'      )
							if "d_head" in kwargs:
											if kwargs["d_head"] != d_model // n_head:
															raise ValueError(
															    F'`d_head` ({kwargs["d_head"]}) should be equal to `d_model // n_head` ({d_model // n_head})'      )
							_UpperCAmelCase							=			d_model // n_head
							_UpperCAmelCase							=			ff_activation
							_UpperCAmelCase							=			d_inner
							_UpperCAmelCase							=			untie_r
							_UpperCAmelCase							=			attn_type

							_UpperCAmelCase							=			initializer_range
							_UpperCAmelCase							=			layer_norm_eps

							_UpperCAmelCase							=			dropout
							_UpperCAmelCase							=			mem_len
							_UpperCAmelCase							=			reuse_len
							_UpperCAmelCase							=			bi_data
							_UpperCAmelCase							=			clamp_len
							_UpperCAmelCase							=			same_length

							_UpperCAmelCase							=			summary_type
							_UpperCAmelCase							=			summary_use_proj
							_UpperCAmelCase							=			summary_activation
							_UpperCAmelCase							=			summary_last_dropout
							_UpperCAmelCase							=			start_n_top
							_UpperCAmelCase							=			end_n_top

							_UpperCAmelCase							=			bos_token_id
							_UpperCAmelCase							=			pad_token_id
							_UpperCAmelCase							=			eos_token_id

							if "use_cache" in kwargs:
											warnings.warn(
											    '''The `use_cache` argument is deprecated and will be removed in a future version, use `use_mems_eval`'''
											    ''' instead.''' ,      __UpperCamelCase ,      )
											_UpperCAmelCase							=			kwargs['''use_cache''']

							_UpperCAmelCase							=			use_mems_eval
							_UpperCAmelCase							=			use_mems_train
							super().__init__(pad_token_id=__UpperCamelCase ,      bos_token_id=__UpperCamelCase ,      eos_token_id=__UpperCamelCase ,      **__UpperCamelCase      )



			@property
			def        lowercase__  (						self   :			Union[str, Any]      )->List[Any]:
							logger.info(F'The model {self.model_type} is one of the few models that has no sequence length limit.'      )
							return -1



			@max_position_embeddings.setter
			def        lowercase__  (						self   :			Any ,      __UpperCamelCase   :			Union[str, Any]      )->Dict:
							raise NotImplementedError(
							    F'The model {self.model_type} is one of the few models that has no sequence length limit.'      )









from __future__ import annotations





def 		__A		(	__lowerCamelCase							,			__lowerCamelCase = None    )      ->       list[list[str]]:
	a										=							word_bank or []
	# create a table
	a										=							len(__lowerCamelCase    ) + 1

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

	# iterate through the indices
	for i in range(__lowerCamelCase    ):
		# condition
		if table[i] != []:
			for word in word_bank:
				# slice condition
				if target[i : i + len(__lowerCamelCase    )] == word:
					a										=							[
					    [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(__lowerCamelCase    )] += new_combinations

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

	return table[len(__lowerCamelCase    )]


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"],
		    )
		)

