


from dataclasses import dataclass

__UpperCAmelCase			:			Tuple			      =					"0.1"
__UpperCAmelCase			:			Optional[Any]			      =					"Lucia Harcekova"



@dataclass
class  UpperCAmelCase_						:
       '''simple docstring'''
       __UpperCamelCase   :  int
       __UpperCamelCase   :  int
       __UpperCamelCase   :  str






       def __repr__(  self    ):




              """simple docstring"""




              return f"""({self.offset}, {self.length}, {self.indicator})"""




class  UpperCAmelCase_						:
       '''simple docstring'''






       def __init__(  self			,       __SCREAMING_SNAKE_CASE = 13			,       __SCREAMING_SNAKE_CASE = 6    ):




              """simple docstring"""




              UpperCamelCase     :						List[Any] 						=		window_size
              UpperCamelCase     :						Tuple 						=		lookahead_buffer_size
              UpperCamelCase     :						Optional[int] 						=		self.window_size - self.lookahead_buffer_size






       def 			_lowercase (  self			,       __SCREAMING_SNAKE_CASE    ):




              """simple docstring"""




              UpperCamelCase     :						Union[str, Any] 						=		[]
              UpperCamelCase     :						int 						=		''''''

              # while there are still characters in text to compress
              while text:
                     # find the next encoding phrase
                     # - triplet with offset, length, indicator (the next encoding character)
                     UpperCamelCase     :						List[str] 						=		self._find_encoding_token(UpperCAmelCase_			,       UpperCAmelCase_    )

                     # update the search buffer:
                     # - add new characters from text into it
                     # - check if size exceed the max search buffer size, if so, drop the
                     #   oldest elements
                     search_buffer += text[: token.length + 1]
                     if len(UpperCAmelCase_    ) > self.search_buffer_size:
                            UpperCamelCase     :						List[Any] 						=		search_buffer[-self.search_buffer_size :]

                     # update the text
                     UpperCamelCase     :						List[Any] 						=		text[token.length + 1 :]

                     # append the token to output
                     output.append(UpperCAmelCase_    )

              return output






       def 			_lowercase (  self			,       __SCREAMING_SNAKE_CASE    ):




              """simple docstring"""




              UpperCamelCase     :						str 						=		''''''

              for token in tokens:
                     for _ in range(token.length    ):
                            output += output[-token.offset]
                     output += token.indicator

              return output






       def 			_lowercase (  self			,       __SCREAMING_SNAKE_CASE			,       __SCREAMING_SNAKE_CASE    ):




              """simple docstring"""




              if not text:
                     raise ValueError('''We need some text to work with.'''    )

              # Initialise result parameters to default values
              UpperCamelCase						,			UpperCamelCase     :						List[str] 						=		0, 0

              if not search_buffer:
                     return Token(UpperCAmelCase_			,       UpperCAmelCase_			,       text[length]    )

              for i, character in enumerate(UpperCAmelCase_    ):
                     UpperCamelCase     :						Optional[int] 						=		len(UpperCAmelCase_    ) - i
                     if character == text[0]:
                            UpperCamelCase     :						Any 						=		self._match_length_from_index(UpperCAmelCase_			,       UpperCAmelCase_			,       0			,       UpperCAmelCase_    )
                            # if the found length is bigger than the current or if it's equal,
                            # which means it's offset is smaller: update offset and length
                            if found_length >= length:
                                   UpperCamelCase						,			UpperCamelCase     :						Any 						=		found_offset, found_length

              return Token(UpperCAmelCase_			,       UpperCAmelCase_			,       text[length]    )






       def 			_lowercase (  self			,       __SCREAMING_SNAKE_CASE			,       __SCREAMING_SNAKE_CASE			,       __SCREAMING_SNAKE_CASE			,       __SCREAMING_SNAKE_CASE    ):




              """simple docstring"""




              if not text or text[text_index] != window[window_index]:
                     return 0
              return 1 + self._match_length_from_index(
                  UpperCAmelCase_			,       window + text[text_index]			,       text_index + 1			,       window_index + 1    )


if __name__ == "__main__":
  from doctest import testmod

  testmod()
  # Initialize compressor class
  __UpperCAmelCase			:			Dict			      =					LZaaCompressor(window_size=13, lookahead_buffer_size=6)

  # Example
  __UpperCAmelCase			:			Tuple			      =					"cabracadabrarrarrad"
  __UpperCAmelCase			:			List[Any]			      =					lzaa_compressor.compress(TEXT)
  print(lzaa_compressor.compress("ababcbababaa"))
  __UpperCAmelCase			:			List[str]			      =					lzaa_compressor.decompress(compressed_text)
  assert decompressed_text == TEXT, "The LZ77 algorithm returned the invalid result."









from ...utils import (
    OptionalDependencyNotAvailable,
    is_torch_available,
    is_transformers_available,
    is_transformers_version,
)


try:
		if not (is_transformers_available() and is_torch_available() and is_transformers_version('''>=''', '''4.27.0''')):
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		from ...utils.dummy_torch_and_transformers_objects import (
		    AudioLDMPipeline,
		)
else:
		from .pipeline_audioldm import AudioLDMPipeline

