


def 			lowerCAmelCase (		lowerCAmelCase_ )-> list[list]:
    lowerCAmelCase_ :      Optional[int]    				=				current_set.copy()
    for row_index, row in enumerate(lowerCAmelCase_ ):
        lowerCAmelCase_ :      Dict    				=				row[0]
        for column_index, column in enumerate(lowerCAmelCase_ ):
            if magnitude == 0:
                lowerCAmelCase_ :      List[Any]    				=				column
                continue
            lowerCAmelCase_ :      Union[str, Any]    				=				column / magnitude
    # Subtract to cancel term
    lowerCAmelCase_ :      Tuple    				=				current_set[0]
    lowerCAmelCase_ :      str    				=				[first_row]
    lowerCAmelCase_ :      Union[str, Any]    				=				current_set[1::]
    for row in current_set:
        lowerCAmelCase_ :      Tuple    				=				[]
        # If first term is 0, it is already in form we want, so we preserve it
        if row[0] == 0:
            final_set.append(lowerCAmelCase_ )
            continue
        for column_index in range(len(lowerCAmelCase_ ) ):
            temp_row.append(first_row[column_index] - row[column_index] )
        final_set.append(lowerCAmelCase_ )
    # Create next recursion iteration set
    if len(final_set[0] ) != 3:
        lowerCAmelCase_ :      Union[str, Any]    				=				final_set[0]
        lowerCAmelCase_ :      Optional[int]    				=				[]
        lowerCAmelCase_ :      int    				=				[]
        for row in final_set[1::]:
            current_first_column.append(row[0] )
            next_iteration.append(row[1::] )
        lowerCAmelCase_ :      List[str]    				=				simplify(lowerCAmelCase_ )
        for i in range(len(lowerCAmelCase_ ) ):
            resultant[i].insert(0 ,   current_first_column[i] )
        resultant.insert(0 ,   lowerCAmelCase_ )
        lowerCAmelCase_ :      Optional[Any]    				=				resultant
    return final_set



def 			lowerCAmelCase (		lowerCAmelCase_ )-> list:
    if len(lowerCAmelCase_ ) == 0:
        raise IndexError('''solve_simultaneous() requires n lists of length n+1''' )
    lowerCAmelCase_ :      Any    				=				len(lowerCAmelCase_ ) + 1
    if any(len(lowerCAmelCase_ ) != _length for item in equations ):
        raise IndexError('''solve_simultaneous() requires n lists of length n+1''' )
    for row in equations:
        if any(not isinstance(lowerCAmelCase_ ,   (int, float) ) for column in row ):
            raise ValueError('''solve_simultaneous() requires lists of integers''' )
    if len(lowerCAmelCase_ ) == 1:
        return [equations[0][-1] / equations[0][0]]
    lowerCAmelCase_ :      Optional[Any]    				=				equations.copy()
    if any(0 in row for row in data_set ):
        lowerCAmelCase_ :      int    				=				data_set.copy()
        lowerCAmelCase_ :      str    				=				[]
        for row_index, row in enumerate(lowerCAmelCase_ ):
            if 0 not in row:
                lowerCAmelCase_ :      Any    				=				data_set.pop(lowerCAmelCase_ )
                break
        if not full_row:
            raise ValueError('''solve_simultaneous() requires at least 1 full equation''' )
        data_set.insert(0 ,   lowerCAmelCase_ )
    lowerCAmelCase_ :      Any    				=				data_set.copy()
    lowerCAmelCase_ :      str    				=				simplify(lowerCAmelCase_ )
    lowerCAmelCase_ :      Any    				=				simplified[::-1]
    lowerCAmelCase_ :      list    				=				[]
    for row in simplified:
        lowerCAmelCase_ :      Dict    				=				row[-1]
        if not solutions:
            if row[-2] == 0:
                solutions.append(0 )
                continue
            solutions.append(current_solution / row[-2] )
            continue
        lowerCAmelCase_ :      str    				=				row.copy()[: len(lowerCAmelCase_ ) - 1 :]
        while temp_row[0] == 0:
            temp_row.pop(0 )
        if len(lowerCAmelCase_ ) == 0:
            solutions.append(0 )
            continue
        lowerCAmelCase_ :      List[str]    				=				temp_row[1::]
        lowerCAmelCase_ :      int    				=				temp_row[::-1]
        for column_index, column in enumerate(lowerCAmelCase_ ):
            current_solution -= column * solutions[column_index]
        solutions.append(lowerCAmelCase_ )
    lowerCAmelCase_ :      Optional[int]    				=				[]
    for item in solutions:
        final.append(float(round(lowerCAmelCase_ ,   5 ) ) )
    return final[::-1]


if __name__ == "__main__":
      import doctest

      doctest.testmod()
      _UpperCAmelCase			:  List[Any]     =[
          [2, 1, 1, 1, 1, 4],
          [1, 2, 1, 1, 1, 5],
          [1, 1, 2, 1, 1, 6],
          [1, 1, 1, 2, 1, 7],
          [1, 1, 1, 1, 2, 8],
      ]
      print(solve_simultaneous(eq))
      print(solve_simultaneous([[4, 2]]))



import inspect
import re

from transformers.utils import direct_transformers_import


# All paths are set with the intent you should run this script from the root of the repo with the command
# python utils/check_config_docstrings.py
_UpperCAmelCase			:  Any     ="""src/transformers"""


# This is to make sure the transformers module imported is the one in the repo.
_UpperCAmelCase			:  Optional[Any]     =direct_transformers_import(PATH_TO_TRANSFORMERS)

_UpperCAmelCase			:  List[str]     =transformers.models.auto.configuration_auto.CONFIG_MAPPING

# Regex pattern used to find the checkpoint mentioned in the docstring of `config_class`.
# For example, `[bert-base-uncased](https://huggingface.co/bert-base-uncased)`
_UpperCAmelCase			:  Dict     =re.compile(R"""\[(.+?)\]\((https://huggingface\.co/.+?)\)""")


_UpperCAmelCase			:  Any     ={
    """DecisionTransformerConfig""",
    """EncoderDecoderConfig""",
    """MusicgenConfig""",
    """RagConfig""",
    """SpeechEncoderDecoderConfig""",
    """TimmBackboneConfig""",
    """VisionEncoderDecoderConfig""",
    """VisionTextDualEncoderConfig""",
    """LlamaConfig""",
}



def 			lowerCAmelCase (		lowerCAmelCase_ )-> str:
				lowerCAmelCase_ :      Any    				=				None

				# source code of `config_class`
				lowerCAmelCase_ :      Optional[int]    				=				inspect.getsource(lowerCAmelCase_ )
				lowerCAmelCase_ :      str    				=				_re_checkpoint.findall(lowerCAmelCase_ )

				# Each `checkpoint` is a tuple of a checkpoint name and a checkpoint link.
				# For example, `('bert-base-uncased', 'https://huggingface.co/bert-base-uncased')`
				for ckpt_name, ckpt_link in checkpoints:
								# allow the link to end with `/`
								if ckpt_link.endswith('''/''' ):
												lowerCAmelCase_ :      Optional[Any]    				=				ckpt_link[:-1]

								# verify the checkpoint name corresponds to the checkpoint link
								lowerCAmelCase_ :      Tuple    				=				f"""https://huggingface.co/{ckpt_name}"""
								if ckpt_link == ckpt_link_from_name:
												lowerCAmelCase_ :      List[str]    				=				ckpt_name
												break

				return checkpoint



def 			lowerCAmelCase (		)-> Optional[Any]:
				lowerCAmelCase_ :      Tuple    				=				[]

				for config_class in list(CONFIG_MAPPING.values() ):
								# Skip deprecated models
								if "models.deprecated" in config_class.__module__:
												continue
								lowerCAmelCase_ :      int    				=				get_checkpoint_from_config_class(lowerCAmelCase_ )

								lowerCAmelCase_ :      Tuple    				=				config_class.__name__
								if checkpoint is None and name not in CONFIG_CLASSES_TO_IGNORE_FOR_DOCSTRING_CHECKPOINT_CHECK:
												configs_without_checkpoint.append(lowerCAmelCase_ )

				if len(lowerCAmelCase_ ) > 0:
								lowerCAmelCase_ :      List[Any]    				=				'''\n'''.join(sorted(lowerCAmelCase_ ) )
								raise ValueError(f"""The following configurations don't contain any valid checkpoint:\n{message}""" )


if __name__ == "__main__":
						check_config_docstrings_have_checkpoints()