




import argparse
import os
import re


_lowerCamelCase      :  Optional[Any]      						=						"src/transformers/models/auto"


# re pattern that matches mapping introductions:
#    SUPER_MODEL_MAPPING_NAMES = OrderedDict or SUPER_MODEL_MAPPING = OrderedDict
_lowerCamelCase      :  List[Any]      						=						re.compile(R"[A-Z_]+_MAPPING(\s+|_[A-Z_]+\s+)=\s+OrderedDict")
# re pattern that matches identifiers in mappings
_lowerCamelCase      :  List[Any]      						=						re.compile(R"\s*\(\s*\"(\S[^\"]+)\"")




def 							_UpperCAmelCase  (UpperCamelCase_ : Union[str, Any]      ,    UpperCamelCase_ : Any = False       ):
				'''simple docstring'''
				with open(__A      ,    """r"""      ,    encoding="""utf-8"""       ) as f:
								_lowerCAmelCase    :    List[Any]										=      f.read()

				_lowerCAmelCase    :    Optional[Any]										=      content.split("""\n"""       )
				_lowerCAmelCase    :    Dict										=      []
				_lowerCAmelCase    :    Optional[int]										=      0
				while line_idx < len(__A       ):
								if _re_intro_mapping.search(lines[line_idx]       ) is not None:
												_lowerCAmelCase    :    Union[str, Any]										=      len(re.search(R"""^(\s*)\S"""      ,    lines[line_idx]       ).groups()[0]       ) + 8
												# Start of a new mapping!
												while not lines[line_idx].startswith(""" """ * indent + """("""       ):
																new_lines.append(lines[line_idx]       )
																line_idx += 1

												_lowerCAmelCase    :    Tuple										=      []
												while lines[line_idx].strip() != "]":
																# Blocks either fit in one line or not
																if lines[line_idx].strip() == "(":
																				_lowerCAmelCase    :    Dict										=      line_idx
																				while not lines[line_idx].startswith(""" """ * indent + """)"""       ):
																								line_idx += 1
																				blocks.append("""\n""".join(lines[start_idx : line_idx + 1]       )       )
																else:
																				blocks.append(lines[line_idx]       )
																line_idx += 1

												# Sort blocks by their identifiers
												_lowerCAmelCase    :    Tuple										=      sorted(__A      ,    key=lambda UpperCamelCase_       : _re_identifier.search(__A       ).groups()[0]       )
												new_lines += blocks
								else:
												new_lines.append(lines[line_idx]       )
												line_idx += 1

				if overwrite:
								with open(__A      ,    """w"""      ,    encoding="""utf-8"""       ) as f:
												f.write("""\n""".join(__A       )       )
				elif "\n".join(__A       ) != content:
								return True




def 							_UpperCAmelCase  (UpperCamelCase_ : Optional[Any] = False       ):
				'''simple docstring'''
				_lowerCAmelCase    :    Union[str, Any]										=      [os.path.join(__A      ,    __A       ) for f in os.listdir(__A       ) if f.endswith(""".py"""       )]
				_lowerCAmelCase    :    Any										=      [sort_auto_mapping(__A      ,    overwrite=__A       ) for fname in fnames]

				if not overwrite and any(__A       ):
								_lowerCAmelCase    :    List[str]										=      [f for f, d in zip(__A      ,    __A       ) if d]
								raise ValueError(
								    F"The following files have auto mappings that need sorting: {', '.join(__A       )}. Run `make style` to fix"
								    """ this."""       )


if __name__ == "__main__":
	_lowerCamelCase      :  Union[str, Any]      						=						argparse.ArgumentParser()
	parser.add_argument("--check_only", action="store_true", help="Whether to only check or fix style.")
	_lowerCamelCase      :  Optional[Any]      						=						parser.parse_args()

	sort_all_auto_mappings(not args.check_only)







from __future__ import annotations

from decimal import Decimal

from numpy import array




def 							_UpperCAmelCase  (UpperCamelCase_ : list[list[float]]       ):
				'''simple docstring'''
				_lowerCAmelCase    :    int										=      Decimal

				# Check if the provided matrix has 2 rows and 2 columns
				# since this implementation only works for 2x2 matrices
				if len(UpperCamelCase_       ) == 2 and len(matrix[0]       ) == 2 and len(matrix[1]       ) == 2:
								# Calculate the determinant of the matrix
								_lowerCAmelCase    :    Optional[Any]										=      float(
								    d(matrix[0][0]       ) * d(matrix[1][1]       ) - d(matrix[1][0]       ) * d(matrix[0][1]       )       )
								if determinant == 0:
												raise ValueError("""This matrix has no inverse."""       )

								# Creates a copy of the matrix with swapped positions of the elements
								_lowerCAmelCase    :    Union[str, Any]										=      [[0.0, 0.0], [0.0, 0.0]]
								_lowerCAmelCase					,    _lowerCAmelCase    :    Any										=      matrix[1][1], matrix[0][0]
								_lowerCAmelCase					,    _lowerCAmelCase    :    Optional[Any]										=      -matrix[1][0], -matrix[0][1]

								# Calculate the inverse of the matrix
								return [
								    [(float(d(UpperCamelCase_       )       ) / determinant) or 0.0 for n in row] for row in swapped_matrix
								]
				elif (
				    len(UpperCamelCase_       ) == 3
				    and len(matrix[0]       ) == 3
				    and len(matrix[1]       ) == 3
				    and len(matrix[2]       ) == 3
				):
								# Calculate the determinant of the matrix using Sarrus rule
								_lowerCAmelCase    :    List[str]										=      float(
								    (
								        (d(matrix[0][0]       ) * d(matrix[1][1]       ) * d(matrix[2][2]       ))
								        + (d(matrix[0][1]       ) * d(matrix[1][2]       ) * d(matrix[2][0]       ))
								        + (d(matrix[0][2]       ) * d(matrix[1][0]       ) * d(matrix[2][1]       ))
								    )
								    - (
								        (d(matrix[0][2]       ) * d(matrix[1][1]       ) * d(matrix[2][0]       ))
								        + (d(matrix[0][1]       ) * d(matrix[1][0]       ) * d(matrix[2][2]       ))
								        + (d(matrix[0][0]       ) * d(matrix[1][2]       ) * d(matrix[2][1]       ))
								    )       )
								if determinant == 0:
												raise ValueError("""This matrix has no inverse."""       )

								# Creating cofactor matrix
								_lowerCAmelCase    :    Optional[Any]										=      [
								    [d(0.0       ), d(0.0       ), d(0.0       )],
								    [d(0.0       ), d(0.0       ), d(0.0       )],
								    [d(0.0       ), d(0.0       ), d(0.0       )],
								]
								_lowerCAmelCase    :    Optional[Any]										=      (d(matrix[1][1]       ) * d(matrix[2][2]       )) - (
								    d(matrix[1][2]       ) * d(matrix[2][1]       )
								)
								_lowerCAmelCase    :    str										=      -(
								    (d(matrix[1][0]       ) * d(matrix[2][2]       )) - (d(matrix[1][2]       ) * d(matrix[2][0]       ))
								)
								_lowerCAmelCase    :    Any										=      (d(matrix[1][0]       ) * d(matrix[2][1]       )) - (
								    d(matrix[1][1]       ) * d(matrix[2][0]       )
								)
								_lowerCAmelCase    :    List[str]										=      -(
								    (d(matrix[0][1]       ) * d(matrix[2][2]       )) - (d(matrix[0][2]       ) * d(matrix[2][1]       ))
								)
								_lowerCAmelCase    :    Tuple										=      (d(matrix[0][0]       ) * d(matrix[2][2]       )) - (
								    d(matrix[0][2]       ) * d(matrix[2][0]       )
								)
								_lowerCAmelCase    :    Any										=      -(
								    (d(matrix[0][0]       ) * d(matrix[2][1]       )) - (d(matrix[0][1]       ) * d(matrix[2][0]       ))
								)
								_lowerCAmelCase    :    int										=      (d(matrix[0][1]       ) * d(matrix[1][2]       )) - (
								    d(matrix[0][2]       ) * d(matrix[1][1]       )
								)
								_lowerCAmelCase    :    Optional[Any]										=      -(
								    (d(matrix[0][0]       ) * d(matrix[1][2]       )) - (d(matrix[0][2]       ) * d(matrix[1][0]       ))
								)
								_lowerCAmelCase    :    Tuple										=      (d(matrix[0][0]       ) * d(matrix[1][1]       )) - (
								    d(matrix[0][1]       ) * d(matrix[1][0]       )
								)

								# Transpose the cofactor matrix (Adjoint matrix)
								_lowerCAmelCase    :    List[str]										=      array(UpperCamelCase_       )
								for i in range(3       ):
												for j in range(3       ):
																_lowerCAmelCase    :    List[Any]										=      cofactor_matrix[j][i]

        # Inverse of the matrix using the formula (1/determinant) * adjoint matrix
								_lowerCAmelCase    :    Tuple										=      array(UpperCamelCase_       )
								for i in range(3       ):
												for j in range(3       ):
																inverse_matrix[i][j] /= d(UpperCamelCase_       )

        # Calculate the inverse of the matrix
								return [[float(d(UpperCamelCase_       )       ) or 0.0 for n in row] for row in inverse_matrix]
				raise ValueError("""Please provide a matrix of size 2x2 or 3x3."""       )

