



import copy
import random

from transformers import CLIPTokenizer
class 				__A					( A_      ):





			def __init__(self							,    *__magic_name__							,    **__magic_name__				):
						super().__init__(*__magic_name__							,    **__magic_name__				)
						lowerCamelCase__ :      Optional[Any]								=		{}





			def        _snake_case    (self							,    __magic_name__							,    *__magic_name__							,    **__magic_name__				):
						lowerCamelCase__ :      Any								=		super().add_tokens(__magic_name__							,    *__magic_name__							,    **__magic_name__				)
						if num_added_tokens == 0:
									raise ValueError(
									    f"The tokenizer already contains the token {placeholder_token}. Please pass a different"
									    """ `placeholder_token` that is not already in the tokenizer."""				)





			def        _snake_case    (self							,    __magic_name__							,    *__magic_name__							,    __magic_name__=1							,    **__magic_name__				):
						lowerCamelCase__ :      Union[str, Any]								=		[]
						if num_vec_per_token == 1:
									self.try_adding_tokens(__magic_name__							,    *__magic_name__							,    **__magic_name__				)
									output.append(__magic_name__				)
						else:
									lowerCamelCase__ :      Optional[int]								=		[]
									for i in range(__magic_name__				):
												lowerCamelCase__ :      Optional[int]								=		placeholder_token + f"_{i}"
												self.try_adding_tokens(__magic_name__							,    *__magic_name__							,    **__magic_name__				)
												output.append(__magic_name__				)
        # handle cases where there is a new placeholder token that contains the current placeholder token but is larger
						for token in self.token_map:
									if token in placeholder_token:
												raise ValueError(
												    f"The tokenizer already has placeholder token {token} that can get confused with"
												    f" {placeholder_token}keep placeholder tokens independent"				)
						lowerCamelCase__ :      Union[str, Any]								=		output





			def        _snake_case    (self							,    __magic_name__							,    __magic_name__=False							,    __magic_name__=1.0				):
						if isinstance(__magic_name__							,    __magic_name__				):
									lowerCamelCase__ :      Union[str, Any]								=		[]
									for i in range(len(__magic_name__				)				):
												output.append(self.replace_placeholder_tokens_in_text(text[i]							,    vector_shuffle=__magic_name__				)				)
									return output
						for placeholder_token in self.token_map:
									if placeholder_token in text:
												lowerCamelCase__ :      Optional[Any]								=		self.token_map[placeholder_token]
												lowerCamelCase__ :      Any								=		tokens[: 1 + int(len(__magic_name__				) * prop_tokens_to_load				)]
												if vector_shuffle:
															lowerCamelCase__ :      Union[str, Any]								=		copy.copy(__magic_name__				)
															random.shuffle(__magic_name__				)
												lowerCamelCase__ :      Any								=		text.replace(__magic_name__							,    """ """.join(__magic_name__				)				)
						return text





			def __call__(self							,    __magic_name__							,    *__magic_name__							,    __magic_name__=False							,    __magic_name__=1.0							,    **__magic_name__				):
						return super().__call__(
						    self.replace_placeholder_tokens_in_text(
						        __magic_name__							,    vector_shuffle=__magic_name__							,    prop_tokens_to_load=__magic_name__				)							,    *__magic_name__							,    **__magic_name__							,    )





			def        _snake_case    (self							,    __magic_name__							,    *__magic_name__							,    __magic_name__=False							,    __magic_name__=1.0							,    **__magic_name__				):
						return super().encode(
						    self.replace_placeholder_tokens_in_text(
						        __magic_name__							,    vector_shuffle=__magic_name__							,    prop_tokens_to_load=__magic_name__				)							,    *__magic_name__							,    **__magic_name__							,    )








from __future__ import annotations






def      _A				(UpperCamelCase		:      str      ,			UpperCamelCase		:      list[str] | None = None )  ->list[list[str]]:



			'''simple docstring'''







			lowerCamelCase__ :      List[str]								=		word_bank or []
			# create a table
			lowerCamelCase__ :      int								=		len(UpperCamelCase ) + 1

			lowerCamelCase__ :      list[list[list[str]]]								=		[]
			for _ in range(UpperCamelCase ):
						table.append([] )
			# seed value
			lowerCamelCase__ :      Tuple								=		[[]]  # because empty string has empty combination

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

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

			return table[len(UpperCamelCase )]


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'''],
				    )
				)



