from dataclasses import dataclass

UpperCamelCase    				=		'''0.1'''
UpperCamelCase    				=		'''Lucia Harcekova'''



@dataclass
class     snake_case_			:
   __A      :						int
   __A      :						int
   __A      :						str






   def __repr__( self							:	Any    )   ->		str:
       return F'''({self.offset}, {self.length}, {self.indicator})'''



class     snake_case_			:






   def __init__( self							:	Dict      ,		lowercase_							:	int = 13      ,		lowercase_							:	int = 6    )   ->		None:
       lowercase__					:  Tuple          =							window_size
       lowercase__					:  str          =							lookahead_buffer_size
       lowercase__					:  Union[str, Any]          =							self.window_size - self.lookahead_buffer_size






   def  __UpperCamelCase	( self							:	Optional[int]      ,		lowercase_							:	str    )   ->		list[Token]:
       lowercase__					:  Dict          =							[]
       lowercase__					:  List[Any]          =							""

       # 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)
           lowercase__					:  int          =							self._find_encoding_token(lowercase_      ,		lowercase_    )

           # 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(lowercase_    ) > self.search_buffer_size:
               lowercase__					:  Optional[int]          =							search_buffer[-self.search_buffer_size :]

           # update the text
           lowercase__					:  Dict          =							text[token.length + 1 :]

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

       return output






   def  __UpperCamelCase	( self							:	List[Any]      ,		lowercase_							:	list[Token]    )   ->		str:
       lowercase__					:  Optional[Any]          =							""

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

       return output






   def  __UpperCamelCase	( self							:	Tuple      ,		lowercase_							:	str      ,		lowercase_							:	str    )   ->		Token:

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

       # Initialise result parameters to default values
       lowercase__   ,  lowercase__					:  Optional[Any]          =							0, 0

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

       for i, character in enumerate(lowercase_    ):
           lowercase__					:  Union[str, Any]          =							len(lowercase_    ) - i
           if character == text[0]:
               lowercase__					:  int          =							self._match_length_from_index(lowercase_      ,		lowercase_      ,		0      ,		lowercase_    )
               # 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:
                   lowercase__   ,  lowercase__					:  Any          =							found_offset, found_length

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







   def  __UpperCamelCase	( self							:	Dict      ,		lowercase_							:	str      ,		lowercase_							:	str      ,		lowercase_							:	int      ,		lowercase_							:	int    )   ->		int:
       if not text or text[text_index] != window[window_index]:
           return 0
       return 1 + self._match_length_from_index(
           lowercase_      ,		window + text[text_index]      ,		text_index + 1      ,		window_index + 1    )


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

      testmod()
      # Initialize compressor class
      UpperCamelCase    				=		LZaaCompressor(window_size=13, lookahead_buffer_size=6)

      # Example
      UpperCamelCase    				=		'''cabracadabrarrarrad'''
      UpperCamelCase    				=		lzaa_compressor.compress(TEXT)
      print(lzaa_compressor.compress('''ababcbababaa'''))
      UpperCamelCase    				=		lzaa_compressor.decompress(compressed_text)
      assert decompressed_text == TEXT, "The LZ77 algorithm returned the invalid result."




from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


UpperCamelCase    				=		{'''configuration_vit_hybrid''': ['''VIT_HYBRID_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''ViTHybridConfig''']}

try:
      if not is_torch_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      UpperCamelCase    				=		[
          '''VIT_HYBRID_PRETRAINED_MODEL_ARCHIVE_LIST''',
          '''ViTHybridForImageClassification''',
          '''ViTHybridModel''',
          '''ViTHybridPreTrainedModel''',
      ]

try:
      if not is_vision_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      UpperCamelCase    				=		['''ViTHybridImageProcessor''']


if TYPE_CHECKING:
      from .configuration_vit_hybrid import VIT_HYBRID_PRETRAINED_CONFIG_ARCHIVE_MAP, ViTHybridConfig

      try:
            if not is_torch_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_vit_hybrid import (
                VIT_HYBRID_PRETRAINED_MODEL_ARCHIVE_LIST,
                ViTHybridForImageClassification,
                ViTHybridModel,
                ViTHybridPreTrainedModel,
            )

      try:
            if not is_vision_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .image_processing_vit_hybrid import ViTHybridImageProcessor


else:
      import sys

      UpperCamelCase    				=		_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)



