






"""simple docstring"""






from __future__ import annotations



def  __lowerCamelCase					(					lowerCAmelCase__       ,lowerCAmelCase__ = None				):
				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'''],
					    )
					)










"""simple docstring"""






from ...processing_utils import ProcessorMixin





class       snake_case_       (    _lowerCamelCase       ):



	"""simple docstring"""

	SCREAMING_SNAKE_CASE_:							Union[str, Any]   			=					["""image_processor""", """feature_extractor"""]
	SCREAMING_SNAKE_CASE_:							Optional[int]   			=					"""TvltImageProcessor"""
	SCREAMING_SNAKE_CASE_:							Optional[int]   			=					"""TvltFeatureExtractor"""


	def __init__(      self  ,					__a  ,					__a						):


					"""simple docstring"""

					super().__init__(image_processor=__a  ,					feature_extractor=__a						)

					A__							 =       image_processor
					A__							 =       feature_extractor


	def __call__(      self  ,					__a=None  ,					__a=None  ,					__a=None  ,					__a=None  ,					__a=False  ,					__a=False  ,					*__a  ,					**__a  ,					):


					"""simple docstring"""

					if images is None and audio is None:
									raise ValueError('You need to specify either an `images` or `audio` input to process.'						)

					A__							 =       None
					if images is not None:
									A__							 =       self.image_processor(__a  ,					mask_pixel=__a  ,					*__a  ,					**__a						)
					if images_mixed is not None:
									A__							 =       self.image_processor(__a  ,					is_mixed=__a  ,					*__a  ,					**__a						)
					if audio is not None:
									A__							 =       self.feature_extractor(
									    __a  ,					*__a  ,					sampling_rate=__a  ,					mask_audio=__a  ,					**__a						)

					A__							 =       {}
					if audio is not None:
									output_dict.update(__a						)
					if images is not None:
									output_dict.update(__a						)
					if images_mixed_dict is not None:
									output_dict.update(__a						)
					return output_dict






	@property
	def       _UpperCAmelCase						(      self						):


					"""simple docstring"""

					A__							 =       self.image_processor.model_input_names
					A__							 =       self.feature_extractor.model_input_names
					return list(dict.fromkeys(image_processor_input_names + feature_extractor_input_names						)						)


