code: 
  
  
  
  
  
  
  import copy
  from typing import Dict
  
  from ...generation.configuration_utils import GenerationConfig
  from ...utils import logging
  
  
  __a   				=      logging.get_logger(__name__)
  
  
  
  
  
  
  
  class 				__SCREAMING_SNAKE_CASE   (			lowerCamelCase__   ):
        A				:							Optional[Any]    							=     'semantic'
  
  
        def __init__(							self							,						SCREAMING_SNAKE_CASE__=10000							,						SCREAMING_SNAKE_CASE__=True							,						SCREAMING_SNAKE_CASE__=768							,						SCREAMING_SNAKE_CASE__=False							,						SCREAMING_SNAKE_CASE__=False							,						SCREAMING_SNAKE_CASE__=False							,						SCREAMING_SNAKE_CASE__=False							,						SCREAMING_SNAKE_CASE__=0.7							,						SCREAMING_SNAKE_CASE__=True							,						SCREAMING_SNAKE_CASE__=10048							,						SCREAMING_SNAKE_CASE__=129595							,						SCREAMING_SNAKE_CASE__=129599							,						SCREAMING_SNAKE_CASE__=10000							,						SCREAMING_SNAKE_CASE__=256							,						SCREAMING_SNAKE_CASE__=49.9							,						**SCREAMING_SNAKE_CASE__							,						):
              super().__init__(
                  temperature=lowercase_							,						do_sample=lowercase_							,						eos_token_id=lowercase_							,						renormalize_logits=lowercase_							,						max_new_tokens=lowercase_							,						output_scores=lowercase_							,						return_dict_in_generate=lowercase_							,						output_hidden_states=lowercase_							,						output_attentions=lowercase_							,						**lowercase_							,						)
  
              lowercase			:   List[Any]					   =		text_encoding_offset
              lowercase			:   Any					   =		text_pad_token
              lowercase			:   str					   =		eos_token_id
              lowercase			:   str					   =		semantic_infer_token
              lowercase			:   List[Any]					   =		semantic_vocab_size
              lowercase			:   Any					   =		max_input_semantic_length
              lowercase			:   Dict					   =		semantic_rate_hz
  
  
  
  
  
  
  
  class 				__SCREAMING_SNAKE_CASE   (			lowerCamelCase__   ):
        A				:							int    							=     'coarse_acoustics'
  
  
        def __init__(							self							,						SCREAMING_SNAKE_CASE__=True							,						SCREAMING_SNAKE_CASE__=False							,						SCREAMING_SNAKE_CASE__=False							,						SCREAMING_SNAKE_CASE__=False							,						SCREAMING_SNAKE_CASE__=False							,						SCREAMING_SNAKE_CASE__=0.7							,						SCREAMING_SNAKE_CASE__=True							,						SCREAMING_SNAKE_CASE__=12048							,						SCREAMING_SNAKE_CASE__=75							,						SCREAMING_SNAKE_CASE__=2							,						SCREAMING_SNAKE_CASE__=12050							,						SCREAMING_SNAKE_CASE__=256							,						SCREAMING_SNAKE_CASE__ = 630							,						SCREAMING_SNAKE_CASE__ = 60							,						**SCREAMING_SNAKE_CASE__							,						):
              super().__init__(
                  temperature=lowercase_							,						do_sample=lowercase_							,						renormalize_logits=lowercase_							,						output_scores=lowercase_							,						return_dict_in_generate=lowercase_							,						output_hidden_states=lowercase_							,						output_attentions=lowercase_							,						**lowercase_							,						)
  
              lowercase			:   Any					   =		coarse_semantic_pad_token
              lowercase			:   Union[str, Any]					   =		coarse_rate_hz
              lowercase			:   Dict					   =		n_coarse_codebooks
              lowercase			:   int					   =		coarse_infer_token
              lowercase			:   List[str]					   =		max_coarse_input_length
              lowercase			:   Union[str, Any]					   =		max_coarse_history
              lowercase			:   Any					   =		sliding_window_len
  
  
  
  
  
  
  
  class 				__SCREAMING_SNAKE_CASE   (			lowerCamelCase__   ):
        A				:							List[str]    							=     'fine_acoustics'
  
  
        def __init__(							self							,						SCREAMING_SNAKE_CASE__=0.5							,						SCREAMING_SNAKE_CASE__=512							,						SCREAMING_SNAKE_CASE__=1024							,						SCREAMING_SNAKE_CASE__=8							,						**SCREAMING_SNAKE_CASE__							,						):
              super().__init__(temperature=lowercase_		)
  
              lowercase			:   Optional[Any]					   =		max_fine_history_length
              lowercase			:   Dict					   =		max_fine_input_length
              lowercase			:   Tuple					   =		n_fine_codebooks
  
  
  
  
  
  
  
  class 				__SCREAMING_SNAKE_CASE   (			lowerCamelCase__   ):
        A				:							Dict    							=     'bark'
        A				:							Optional[int]    							=     True
  
  
        def __init__(							self							,						SCREAMING_SNAKE_CASE__ = None							,						SCREAMING_SNAKE_CASE__ = None							,						SCREAMING_SNAKE_CASE__ = None							,						SCREAMING_SNAKE_CASE__=24000							,						SCREAMING_SNAKE_CASE__=1024							,						**SCREAMING_SNAKE_CASE__							,						):
  
  
  
  
  
  
              if semantic_config is None:
                    lowercase			:   Any					   =		{}
                    logger.info('''semantic_config is None. initializing the semantic model with default values.'''		)
  
              if coarse_acoustics_config is None:
                    lowercase			:   Any					   =		{}
                    logger.info('''coarse_acoustics_config is None. initializing the coarse model with default values.'''		)
  
              if fine_acoustics_config is None:
                    lowercase			:   Union[str, Any]					   =		{}
                    logger.info('''fine_acoustics_config is None. initializing the fine model with default values.'''		)
  
              lowercase			:   Union[str, Any]					   =		BarkSemanticGenerationConfig(**lowercase_		)
              lowercase			:   Optional[int]					   =		BarkCoarseGenerationConfig(**lowercase_		)
              lowercase			:   Optional[int]					   =		BarkFineGenerationConfig(**lowercase_		)
  
              lowercase			:   Dict					   =		sample_rate
              lowercase			:   Optional[Any]					   =		codebook_size
  
  
        @classmethod
        def        __lowerCamelCase			(							cls							,						SCREAMING_SNAKE_CASE__							,						SCREAMING_SNAKE_CASE__							,						SCREAMING_SNAKE_CASE__							,						**SCREAMING_SNAKE_CASE__							,						):
              return cls(
                  semantic_config=semantic_config.to_dict()							,						coarse_acoustics_config=coarse_acoustics_config.to_dict()							,						fine_acoustics_config=fine_acoustics_config.to_dict()							,						**lowercase_							,						)
  
  
  
  
  
  
        def        __lowerCamelCase			(							self		):
              lowercase			:   Optional[int]					   =		copy.deepcopy(self.__dict__		)
  
              lowercase			:   str					   =		self.semantic_config.to_dict()
              lowercase			:   Optional[int]					   =		self.coarse_acoustics_config.to_dict()
              lowercase			:   Union[str, Any]					   =		self.fine_acoustics_config.to_dict()
  
              lowercase			:   Dict					   =		self.__class__.model_type
              return output
  
  
style_context: 
  
  
  __a   				=      [
      [0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0],
      [0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0],
      [0, 1, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0],
      [0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 1, 0, 0],
      [0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 0],
      [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0],
      [0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0],
      [0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0],
  ]
  
  
  
  
  def 			__lowercase	(						_UpperCamelCase,    _UpperCamelCase,    _UpperCamelCase,    _UpperCamelCase     )    ->bool:
  
  
  
  
  
  
  
        """simple docstring"""
  
        return 0 <= row < rows and 0 <= col < cols
  
  
  
  
  def 			__lowercase	(						_UpperCamelCase,    _UpperCamelCase,    _UpperCamelCase,    _UpperCamelCase     )    ->int:
  
  
  
  
  
  
  
        """simple docstring"""
  
        lowercase			:   Optional[int]					   =		len(_UpperCamelCase     )
        lowercase			:   str					   =		len(mat[0]     )
        if is_safe(_UpperCamelCase,    _UpperCamelCase,    _UpperCamelCase,    _UpperCamelCase     ) and (row, col) not in seen and mat[row][col] == 1:
              seen.add((row, col)     )
              return (
                  1
                  + depth_first_search(row + 1,    _UpperCamelCase,    _UpperCamelCase,    _UpperCamelCase     )
                  + depth_first_search(row - 1,    _UpperCamelCase,    _UpperCamelCase,    _UpperCamelCase     )
                  + depth_first_search(_UpperCamelCase,    col + 1,    _UpperCamelCase,    _UpperCamelCase     )
                  + depth_first_search(_UpperCamelCase,    col - 1,    _UpperCamelCase,    _UpperCamelCase     )
              )
        else:
              return 0
  
  
  
  
  def 			__lowercase	(						_UpperCamelCase     )    ->int:
  
  
  
  
  
  
  
        """simple docstring"""
  
        lowercase			:   set					   =		set()
  
        lowercase			:   Tuple					   =		0
        for row, line in enumerate(_UpperCamelCase     ):
              for col, item in enumerate(_UpperCamelCase     ):
                    if item == 1 and (row, col) not in seen:
                          # Maximizing the area
                          lowercase			:   Tuple					   =		max(_UpperCamelCase,    depth_first_search(_UpperCamelCase,    _UpperCamelCase,    _UpperCamelCase,    _UpperCamelCase     )     )
        return max_area
  
  
  if __name__ == "__main__":
    import doctest
  
    print(find_max_area(matrix))  # Output -> 6
    doctest.testmod()
  
  