code: 
  
  
  """simple docstring"""
  
  
  
  
  def 						__a      (  a					):
  
  
  
  
  
         """simple docstring"""
  
  
  
  
  
  
  
         if len(lowercase__					) == 0 or not all(len(lowercase__					) == 2 for pair in coordinates					):
                raise ValueError("The program cannot work out a fitting polynomial."					)
  
         if len({tuple(lowercase__					) for pair in coordinates}					) != len(lowercase__					):
                raise ValueError("The program cannot work out a fitting polynomial."					)
  
         _a          =				{x for x, _ in coordinates}
         if len(lowercase__					) == 1:
                return F'x={coordinates[0][0]}'
  
         if len(lowercase__					) != len(lowercase__					):
                raise ValueError("The program cannot work out a fitting polynomial."					)
  
         _a          =				len(lowercase__					)
  
         _a          =				0
         _a          =				[]
         # put the x and x to the power values in a matrix
         while count_of_line < x:
                _a          =				0
                _a          =				coordinates[count_of_line][0]
                _a          =				[]
                while count_in_line < x:
                       count_line.append(a ** (x - (count_in_line + 1))					)
                       count_in_line += 1
                matrix.append(lowercase__					)
                count_of_line += 1
  
         _a          =				0
         # put the y values into a vector
         _a          =				[]
         while count_of_line < x:
                vector.append(coordinates[count_of_line][1]					)
                count_of_line += 1
  
         _a          =				0
  
         while count < x:
                _a          =				0
                while zahlen < x:
                       if count == zahlen:
                              zahlen += 1
                       if zahlen == x:
                              break
                       _a          =				matrix[zahlen][count] / matrix[count][count]
                       for counting_columns, item in enumerate(matrix[count]					):
                              # manipulating all the values in the matrix
                              matrix[zahlen][counting_columns] -= item * bruch
                       # manipulating the values in the vector
                       vector[zahlen] -= vector[count] * bruch
                       zahlen += 1
                count += 1
  
         _a          =				0
         # make solutions
         _a          =				[]
         while count < x:
                solution.append(str(vector[count] / matrix[count][count]					)					)
                count += 1
  
         _a          =				0
         _a          =				"f(x)="
  
         while count < x:
                _a          =				solution[count].split("E"					)
                if len(lowercase__					) > 1:
                       _a          =				F'{remove_e[0]}*10^{remove_e[1]}'
                solved += F'x^{x - (count + 1)}*{solution[count]}'
                if count + 1 != x:
                       solved += "+"
                count += 1
  
         return solved
  
  
  if __name__ == "__main__":
     print(points_to_polynomial([]))
     print(points_to_polynomial([[]]))
     print(points_to_polynomial([[1, 0], [2, 0], [3, 0]]))
     print(points_to_polynomial([[1, 1], [2, 1], [3, 1]]))
     print(points_to_polynomial([[1, 3], [2, 3], [3, 3]]))
     print(points_to_polynomial([[1, 1], [2, 2], [3, 3]]))
     print(points_to_polynomial([[1, 1], [2, 4], [3, 9]]))
     print(points_to_polynomial([[1, 3], [2, 6], [3, 11]]))
     print(points_to_polynomial([[1, -3], [2, -6], [3, -11]]))
     print(points_to_polynomial([[1, 5], [2, 2], [3, 9]]))
  
style_context: 
  
  
  """simple docstring"""
  
  
  
  
  from ...configuration_utils import PretrainedConfig
  from ...utils import logging
  
  
  __SCREAMING_SNAKE_CASE					=						logging.get_logger(__name__)
  
  __SCREAMING_SNAKE_CASE					=						{
      """bert-base-uncased""": """https://huggingface.co/bert-base-uncased/resolve/main/config.json""",
      # QDQBERT models can be loaded from any BERT checkpoint, available at https://huggingface.co/models?filter=bert
  }
  
  
  
  
  
  class __snake_case		(					_SCREAMING_SNAKE_CASE      ):
  
  
  
  
  
  
  
     """simple docstring"""
  
  
  
  
     lowerCAmelCase_				:   Tuple     	=			'qdqbert'
  
  
  
  
     def __init__(		self							:List[Any]				,  UpperCamelCase__							:List[Any]=30_522				,  UpperCamelCase__							:Optional[int]=768				,  UpperCamelCase__							:str=12				,  UpperCamelCase__							:Tuple=12				,  UpperCamelCase__							:Any=3_072				,  UpperCamelCase__							:Union[str, Any]="gelu"				,  UpperCamelCase__							:Dict=0.1				,  UpperCamelCase__							:Any=0.1				,  UpperCamelCase__							:Dict=512				,  UpperCamelCase__							:Optional[int]=2				,  UpperCamelCase__							:Any=0.02				,  UpperCamelCase__							:Optional[int]=1E-12				,  UpperCamelCase__							:str=True				,  UpperCamelCase__							:str=1				,  UpperCamelCase__							:List[Any]=0				,  UpperCamelCase__							:List[str]=2				,  **UpperCamelCase__							:Optional[Any]				,  ):
            super().__init__(pad_token_id=UpperCamelCase__				,  bos_token_id=UpperCamelCase__				,  eos_token_id=UpperCamelCase__				,  **UpperCamelCase__       )
  
            _a          =				vocab_size
            _a          =				max_position_embeddings
            _a          =				hidden_size
            _a          =				num_hidden_layers
            _a          =				num_attention_heads
            _a          =				intermediate_size
            _a          =				hidden_act
            _a          =				hidden_dropout_prob
            _a          =				attention_probs_dropout_prob
            _a          =				initializer_range
            _a          =				type_vocab_size
            _a          =				layer_norm_eps
            _a          =				use_cache
  