code: 
  
  
  
  
  
  import enum
  import inspect
  from typing import Iterable, List, Optional, Tuple, Union
  
  
  
  
  class   _UpperCAmelCase	(   enum.Enum					):
  					__A          =   "timm"
  					__A          =   "transformers"
  
  
  
  def     a						(      _lowercase   :     Optional[Iterable[str]] ,						_lowercase   :     Optional[Iterable[int]] ,						_lowercase   :     Optional[Iterable[str]]       )     ->List[str]:
  		if stage_names is None:
  				raise ValueError("""Stage_names must be set for transformers backbones"""       )
  
  		if out_features is not None:
  				if not isinstance(_lowercase ,						(list,)       ):
  						raise ValueError(F"""out_features must be a list {type(_lowercase       )}"""       )
  				if any(feat not in stage_names for feat in out_features       ):
  						raise ValueError(F"""out_features must be a subset of stage_names: {stage_names} got {out_features}"""       )
  
  		if out_indices is not None:
  				if not isinstance(_lowercase ,						(list, tuple)       ):
  						raise ValueError(F"""out_indices must be a list or tuple, got {type(_lowercase       )}"""       )
  				if any(idx >= len(_lowercase       ) for idx in out_indices       ):
  						raise ValueError("""out_indices must be valid indices for stage_names {stage_names}, got {out_indices}"""       )
  
  		if out_features is not None and out_indices is not None:
  				if len(_lowercase       ) != len(_lowercase       ):
  						raise ValueError("""out_features and out_indices should have the same length if both are set"""       )
  				if out_features != [stage_names[idx] for idx in out_indices]:
  						raise ValueError("""out_features and out_indices should correspond to the same stages if both are set"""       )
  
  def     a						(      _lowercase   :     Optional[List[str]] ,						_lowercase   :     Optional[Union[List[int], Tuple[int]]] ,						_lowercase   :     List[str] ,						)     ->Optional[int]:
  		if out_indices is None and out_features is None:
  				UpperCamelCase__         =	[len(_lowercase       ) - 1]
  				UpperCamelCase__         =	[stage_names[-1]]
  		elif out_indices is None and out_features is not None:
  				UpperCamelCase__         =	[stage_names.index(_lowercase       ) for layer in out_features]
  		elif out_features is None and out_indices is not None:
  				UpperCamelCase__         =	[stage_names[idx] for idx in out_indices]
  		return out_features, out_indices
  
  def     a						(      _lowercase   :     Optional[List[str]] ,						_lowercase   :     Optional[Union[List[int], Tuple[int]]] ,						_lowercase   :     List[str] ,						)     ->Tuple[List[str], List[int]]:
  		verify_out_features_out_indices(out_features=_lowercase ,						out_indices=_lowercase ,						stage_names=_lowercase       )
  		UpperCamelCase__  ,			UpperCamelCase__         =	_align_output_features_output_indices(
  		    out_features=_lowercase ,						out_indices=_lowercase ,						stage_names=_lowercase       )
  		# Verify that the aligned out_features and out_indices are valid
  		verify_out_features_out_indices(out_features=_lowercase ,						out_indices=_lowercase ,						stage_names=_lowercase       )
  		return output_features, output_indices
  
  
  
  
  class   _UpperCAmelCase	:
  					__A          =   None
  
  
  
  
  					def 	snake_case_		(						self    ,      __lowerCAmelCase       )						->  None:
  							if getattr(self    ,      """_backbone"""    ,      __lowerCAmelCase       ) is None:
  									raise ValueError("""self._backbone must be set before calling _init_timm_backbone"""       )
  
  							# These will diagree with the defaults for the transformers models e.g. for resnet50
  							# the transformer model has out_features = ['stem', 'stage1', 'stage2', 'stage3', 'stage4']
  							# the timm model has out_features = ['act', 'layer1', 'layer2', 'layer3', 'layer4']
  							UpperCamelCase__         =	[stage["""module"""] for stage in self._backbone.feature_info.info]
  							UpperCamelCase__         =	[stage["""num_chs"""] for stage in self._backbone.feature_info.info]
  							UpperCamelCase__         =	self._backbone.feature_info.out_indices
  							UpperCamelCase__         =	self._backbone.feature_info.module_name()
  
  							# We verify the out indices and out features are valid
  							verify_out_features_out_indices(
  							    out_features=__lowerCAmelCase    ,      out_indices=__lowerCAmelCase    ,      stage_names=self.stage_names       )
  							UpperCamelCase__  ,			UpperCamelCase__         =	out_features, out_indices
  
  
  
  
  					def 	snake_case_		(						self    ,      __lowerCAmelCase       )						->  None:
  							UpperCamelCase__         =	getattr(__lowerCAmelCase    ,      """stage_names"""       )
  							UpperCamelCase__         =	getattr(__lowerCAmelCase    ,      """out_features"""    ,      __lowerCAmelCase       )
  							UpperCamelCase__         =	getattr(__lowerCAmelCase    ,      """out_indices"""    ,      __lowerCAmelCase       )
  
  							UpperCamelCase__         =	stage_names
  							UpperCamelCase__  ,			UpperCamelCase__         =	get_aligned_output_features_output_indices(
  							    out_features=__lowerCAmelCase    ,      out_indices=__lowerCAmelCase    ,      stage_names=__lowerCAmelCase       )
  							# Number of channels for each stage. This is set in the transformer backbone model init
  							UpperCamelCase__         =	None
  
  
  
  
  					def 	snake_case_		(						self    ,      __lowerCAmelCase       )						->  None:
  							UpperCamelCase__         =	config
  
  							UpperCamelCase__         =	getattr(__lowerCAmelCase    ,      """use_timm_backbone"""    ,      __lowerCAmelCase       )
  							UpperCamelCase__         =	BackboneType.TIMM if self.use_timm_backbone else BackboneType.TRANSFORMERS
  
  							if self.backbone_type == BackboneType.TIMM:
  									self._init_timm_backbone(__lowerCAmelCase       )
  							elif self.backbone_type == BackboneType.TRANSFORMERS:
  									self._init_transformers_backbone(__lowerCAmelCase       )
  							else:
  									raise ValueError(F"""backbone_type {self.backbone_type} not supported."""       )
  
  
  
  
  					@property
  					def 	snake_case_		(						self       )						->  List[str]:
  							return self._out_features
  
  
  
  
  					@out_features.setter
  					def 	snake_case_		(						self    ,      __lowerCAmelCase       )						->  Optional[Any]:
  							UpperCamelCase__  ,			UpperCamelCase__         =	get_aligned_output_features_output_indices(
  							    out_features=__lowerCAmelCase    ,      out_indices=__lowerCAmelCase    ,      stage_names=self.stage_names       )
  
  
  
  
  					@property
  					def 	snake_case_		(						self       )						->  int:
  							return self._out_indices
  
  
  
  
  					@out_indices.setter
  					def 	snake_case_		(						self    ,      __lowerCAmelCase       )						->  List[Any]:
  							UpperCamelCase__  ,			UpperCamelCase__         =	get_aligned_output_features_output_indices(
  							    out_features=__lowerCAmelCase    ,      out_indices=__lowerCAmelCase    ,      stage_names=self.stage_names       )
  
  
  
  
  					@property
  					def 	snake_case_		(						self       )						->  int:
  							# the current backbones will output the number of channels for each stage
  							# even if that stage is not in the out_features list.
  							return {stage: self.num_features[i] for i, stage in enumerate(self.stage_names       )}
  
  
  
  
  					@property
  					def 	snake_case_		(						self       )						->  Optional[Any]:
  							return [self.out_feature_channels[name] for name in self.out_features]
  
  
  
  
  					def 	snake_case_		(						self    ,      *__lowerCAmelCase    ,      **__lowerCAmelCase       )						->  str:
  							UpperCamelCase__         =	dict(inspect.signature(self.forward       ).parameters       )
  							UpperCamelCase__         =	{k: v for k, v in kwargs.items() if k in signature}
  							return self(*__lowerCAmelCase    ,      **__lowerCAmelCase       )
  
  
  
  
  					def 	snake_case_		(						self    ,      __lowerCAmelCase    ,      __lowerCAmelCase = None    ,      __lowerCAmelCase = None    ,      __lowerCAmelCase = None    ,      )						->  Union[str, Any]:
  							raise NotImplementedError("""This method should be implemented by the derived class."""       )
  
  
  
  
  					def 	snake_case_		(						self       )						->  Tuple:
  							UpperCamelCase__         =	super().to_dict()
  							UpperCamelCase__         =	output.pop("""_out_features"""       )
  							UpperCamelCase__         =	output.pop("""_out_indices"""       )
  							return output
  
  
  
  
  class   _UpperCAmelCase	:
  
  
  
  
  					@property
  					def 	snake_case_		(						self       )						->  Optional[Any]:
  							return self._out_features
  
  
  
  
  					@out_features.setter
  					def 	snake_case_		(						self    ,      __lowerCAmelCase       )						->  Any:
  							UpperCamelCase__  ,			UpperCamelCase__         =	get_aligned_output_features_output_indices(
  							    out_features=__lowerCAmelCase    ,      out_indices=__lowerCAmelCase    ,      stage_names=self.stage_names       )
  
  
  
  
  					@property
  					def 	snake_case_		(						self       )						->  Dict:
  							return self._out_indices
  
  
  
  
  					@out_indices.setter
  					def 	snake_case_		(						self    ,      __lowerCAmelCase       )						->  Optional[int]:
  							UpperCamelCase__  ,			UpperCamelCase__         =	get_aligned_output_features_output_indices(
  							    out_features=__lowerCAmelCase    ,      out_indices=__lowerCAmelCase    ,      stage_names=self.stage_names       )
  
  
  
  
  					def 	snake_case_		(						self       )						->  Optional[int]:
  							UpperCamelCase__         =	super().to_dict()
  							UpperCamelCase__         =	output.pop("""_out_features"""       )
  							UpperCamelCase__         =	output.pop("""_out_indices"""       )
  							return output
  
  
  
  
style_context: 
  
  
  
  
  
  from dataclasses import dataclass
  
  __lowerCAmelCase     =			"0.1"
  __lowerCAmelCase     =			"Lucia Harcekova"
  
  
  
  
  @dataclass
  class   _UpperCAmelCase	:
  					__A          =   42
  					__A          =   42
  					__A          =   42
  
  
  
  
  					def __repr__(						self       )						->  str:
  							return F"""({self.offset}, {self.length}, {self.indicator})"""
  
  
  
  
  class   _UpperCAmelCase	:
  
  
  
  
  					def __init__(						self    ,      __lowerCAmelCase = 13    ,      __lowerCAmelCase = 6       )						->  None:
  							UpperCamelCase__         =	window_size
  							UpperCamelCase__         =	lookahead_buffer_size
  							UpperCamelCase__         =	self.window_size - self.lookahead_buffer_size
  
  
  
  
  					def 	snake_case_		(						self    ,      __lowerCAmelCase       )						->  list[Token]:
  							UpperCamelCase__         =	[]
  							UpperCamelCase__         =	""""""
  
  							# 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__         =	self._find_encoding_token(__lowerCAmelCase    ,      __lowerCAmelCase       )
  
  									# 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(__lowerCAmelCase       ) > self.search_buffer_size:
  											UpperCamelCase__         =	search_buffer[-self.search_buffer_size :]
  
  									# update the text
  									UpperCamelCase__         =	text[token.length + 1 :]
  
  									# append the token to output
  									output.append(__lowerCAmelCase       )
  
  							return output
  
  
  
  
  					def 	snake_case_		(						self    ,      __lowerCAmelCase       )						->  str:
  							UpperCamelCase__         =	""""""
  
  							for token in tokens:
  									for _ in range(token.length       ):
  											output += output[-token.offset]
  									output += token.indicator
  
  							return output
  
  
  
  
  					def 	snake_case_		(						self    ,      __lowerCAmelCase    ,      __lowerCAmelCase       )						->  Token:
  
  							if not text:
  									raise ValueError("""We need some text to work with."""       )
  
  							# Initialise result parameters to default values
  							UpperCamelCase__  ,			UpperCamelCase__         =	0, 0
  
  							if not search_buffer:
  									return Token(__lowerCAmelCase    ,      __lowerCAmelCase    ,      text[length]       )
  
  							for i, character in enumerate(__lowerCAmelCase       ):
  									UpperCamelCase__         =	len(__lowerCAmelCase       ) - i
  									if character == text[0]:
  											UpperCamelCase__         =	self._match_length_from_index(__lowerCAmelCase    ,      __lowerCAmelCase    ,      0    ,      __lowerCAmelCase       )
  											# 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__         =	found_offset, found_length
  
  							return Token(__lowerCAmelCase    ,      __lowerCAmelCase    ,      text[length]       )
  
  
  
  
  					def 	snake_case_		(						self    ,      __lowerCAmelCase    ,      __lowerCAmelCase    ,      __lowerCAmelCase    ,      __lowerCAmelCase       )						->  int:
  							if not text or text[text_index] != window[window_index]:
  									return 0
  							return 1 + self._match_length_from_index(
  							    __lowerCAmelCase    ,      window + text[text_index]    ,      text_index + 1    ,      window_index + 1       )
  
  
  if __name__ == "__main__":
  				from doctest import testmod
  
  				testmod()
  				# Initialize compressor class
  				__lowerCAmelCase     =			LZaaCompressor(window_size=13, lookahead_buffer_size=6)
  
  				# Example
  				__lowerCAmelCase     =			"cabracadabrarrarrad"
  				__lowerCAmelCase     =			lzaa_compressor.compress(TEXT)
  				print(lzaa_compressor.compress("ababcbababaa"))
  				__lowerCAmelCase     =			lzaa_compressor.decompress(compressed_text)
  				assert decompressed_text == TEXT, "The LZ77 algorithm returned the invalid result."
  
  
  
  
  
  