

"""simple docstring"""




from __future__ import annotations







class      __lowercase			:

  def __init__(  self		:			Tuple					,A		:			list[list[int]]    ):






   '''simple docstring'''
   UpperCAmelCase__					:  List[str]					   =					TypeError(
       """Matrices must be formed from a list of zero or more lists containing at """
       """least one and the same number of values, each of which must be of type """
       """int or float."""    )
   if len(A    ) != 0:
    UpperCAmelCase__					:  Optional[int]					   =					len(rows[0]    )
    if cols == 0:
     raise error
    for row in rows:
     if len(A    ) != cols:
      raise error
     for value in row:
      if not isinstance(A					,(int, float)    ):
       raise error
    UpperCAmelCase__					:  int					   =					rows
   else:
    UpperCAmelCase__					:  int					   =					[]

  def    __lowercase       (  self		:			Optional[Any]    ):






   '''simple docstring'''
   return [[row[i] for row in self.rows] for i in range(len(self.rows[0]    )    )]

  @property
  def    __lowercase       (  self		:			Optional[int]    ):






   '''simple docstring'''
   return len(self.rows    )

  @property
  def    __lowercase       (  self		:			Optional[Any]    ):






   '''simple docstring'''
   return len(self.rows[0]    )

  @property
  def    __lowercase       (  self		:			List[str]    ):






   '''simple docstring'''
   return (self.num_rows, self.num_columns)

  @property
  def    __lowercase       (  self		:			Optional[Any]    ):






   '''simple docstring'''
   return self.order[0] == self.order[1]

  def    __lowercase       (  self		:			Optional[Any]    ):






   '''simple docstring'''
   UpperCAmelCase__					:  Dict					   =					[
       [0 if column_num != row_num else 1 for column_num in range(self.num_rows    )]
       for row_num in range(self.num_rows    )
   ]
   return Matrix(A    )

  def    __lowercase       (  self		:			Dict    ):






   '''simple docstring'''
   if not self.is_square:
    return 0
   if self.order == (0, 0):
    return 1
   if self.order == (1, 1):
    return int(self.rows[0][0]    )
   if self.order == (2, 2):
    return int(
        (self.rows[0][0] * self.rows[1][1])
        - (self.rows[0][1] * self.rows[1][0])    )
   else:
    return sum(
        self.rows[0][column] * self.cofactors().rows[0][column]
        for column in range(self.num_columns    )    )

  def    __lowercase       (  self		:			Dict    ):






   '''simple docstring'''
   return bool(self.determinant()    )

  def    __lowercase       (  self		:			str					,A		:			int					,A		:			int    ):






   '''simple docstring'''
   UpperCAmelCase__					:  Optional[int]					   =					[
       [
           self.rows[other_row][other_column]
           for other_column in range(self.num_columns    )
           if other_column != column
       ]
       for other_row in range(self.num_rows    )
       if other_row != row
   ]
   return Matrix(A    ).determinant()

  def    __lowercase       (  self		:			List[Any]					,A		:			int					,A		:			int    ):






   '''simple docstring'''
   if (row + column) % 2 == 0:
    return self.get_minor(A					,A    )
   return -1 * self.get_minor(A					,A    )

  def    __lowercase       (  self		:			str    ):






   '''simple docstring'''
   return Matrix(
       [
           [self.get_minor(A					,A    ) for column in range(self.num_columns    )]
           for row in range(self.num_rows    )
       ]    )

  def    __lowercase       (  self		:			Optional[Any]    ):






   '''simple docstring'''
   return Matrix(
       [
           [
               self.minors().rows[row][column]
               if (row + column) % 2 == 0
               else self.minors().rows[row][column] * -1
               for column in range(self.minors().num_columns    )
           ]
           for row in range(self.minors().num_rows    )
       ]    )

  def    __lowercase       (  self		:			List[Any]    ):






   '''simple docstring'''
   UpperCAmelCase__					:  Tuple					   =					[
       [self.cofactors().rows[column][row] for column in range(self.num_columns    )]
       for row in range(self.num_rows    )
   ]
   return Matrix(A    )

  def    __lowercase       (  self		:			List[Any]    ):






   '''simple docstring'''
   UpperCAmelCase__					:  Dict					   =					self.determinant()
   if not determinant:
    raise TypeError("""Only matrices with a non-zero determinant have an inverse"""    )
   return self.adjugate() * (1 / determinant)

  def __repr__(  self		:			Optional[Any]    ):






   '''simple docstring'''
   return str(self.rows    )

  def __str__(  self		:			Dict    ):






   '''simple docstring'''
   if self.num_rows == 0:
    return "[]"
   if self.num_rows == 1:
    return "[[" + ". ".join(str(self.rows[0]    )    ) + "]]"
   return (
       "["
       + "\n ".join(
           [
               """[""" + """. """.join([str(A    ) for value in row]    ) + """.]"""
               for row in self.rows
           ]    )
       + "]"
   )

  def    __lowercase       (  self		:			List[str]					,A		:			list[int]					,A		:			int | None = None    ):






   '''simple docstring'''
   UpperCAmelCase__					:  str					   =					TypeError("""Row must be a list containing all ints and/or floats"""    )
   if not isinstance(A					,A    ):
    raise type_error
   for value in row:
    if not isinstance(A					,(int, float)    ):
     raise type_error
   if len(A    ) != self.num_columns:
    raise ValueError(
        """Row must be equal in length to the other rows in the matrix"""    )
   if position is None:
    self.rows.append(A    )
   else:
    UpperCAmelCase__					:  str					   =					self.rows[0:position] + [row] + self.rows[position:]

  def    __lowercase       (  self		:			Union[str, Any]					,A		:			list[int]					,A		:			int | None = None    ):






   '''simple docstring'''
   UpperCAmelCase__					:  Union[str, Any]					   =					TypeError(
       """Column must be a list containing all ints and/or floats"""    )
   if not isinstance(A					,A    ):
    raise type_error
   for value in column:
    if not isinstance(A					,(int, float)    ):
     raise type_error
   if len(A    ) != self.num_rows:
    raise ValueError(
        """Column must be equal in length to the other columns in the matrix"""    )
   if position is None:
    UpperCAmelCase__					:  Optional[Any]					   =					[self.rows[i] + [column[i]] for i in range(self.num_rows    )]
   else:
    UpperCAmelCase__					:  Optional[int]					   =					[
        self.rows[i][0:position] + [column[i]] + self.rows[i][position:]
        for i in range(self.num_rows    )
    ]

  def __eq__(  self		:			Union[str, Any]					,A		:			object    ):






   '''simple docstring'''
   if not isinstance(A					,A    ):
    return NotImplemented
   return self.rows == other.rows

  def __ne__(  self		:			Optional[Any]					,A		:			object    ):






   '''simple docstring'''
   return not self == other

  def __neg__(  self		:			Any    ):






   '''simple docstring'''
   return self * -1

  def __add__(  self		:			Dict					,A		:			Matrix    ):






   '''simple docstring'''
   if self.order != other.order:
    raise ValueError("""Addition requires matrices of the same order"""    )
   return Matrix(
       [
           [self.rows[i][j] + other.rows[i][j] for j in range(self.num_columns    )]
           for i in range(self.num_rows    )
       ]    )

  def __sub__(  self		:			Union[str, Any]					,A		:			Matrix    ):






   '''simple docstring'''
   if self.order != other.order:
    raise ValueError("""Subtraction requires matrices of the same order"""    )
   return Matrix(
       [
           [self.rows[i][j] - other.rows[i][j] for j in range(self.num_columns    )]
           for i in range(self.num_rows    )
       ]    )

  def __mul__(  self		:			int					,A		:			Matrix | int | float    ):






   '''simple docstring'''
   if isinstance(A					,(int, float)    ):
    return Matrix(
        [[int(element * other    ) for element in row] for row in self.rows]    )
   elif isinstance(A					,A    ):
    if self.num_columns != other.num_rows:
     raise ValueError(
         """The number of columns in the first matrix must """
         """be equal to the number of rows in the second"""    )
    return Matrix(
        [
            [Matrix.dot_product(A					,A    ) for column in other.columns()]
            for row in self.rows
        ]    )
   else:
    raise TypeError(
        """A Matrix can only be multiplied by an int, float, or another matrix"""    )

  def __pow__(  self		:			Optional[int]					,A		:			int    ):






   '''simple docstring'''
   if not isinstance(A					,A    ):
    raise TypeError("""A Matrix can only be raised to the power of an int"""    )
   if not self.is_square:
    raise ValueError("""Only square matrices can be raised to a power"""    )
   if other == 0:
    return self.identity()
   if other < 0:
    if self.is_invertable():
     return self.inverse() ** (-other)
    raise ValueError(
        """Only invertable matrices can be raised to a negative power"""    )
   UpperCAmelCase__					:  List[str]					   =					self
   for _ in range(other - 1    ):
    result *= self
   return result




  @classmethod
  def    __lowercase       (  cls		:			int					,A		:			list[int]					,A		:			list[int]    ):






   '''simple docstring'''
   return sum(row[i] * column[i] for i in range(len(A    )    )    )


if __name__ == "__main__":
      import doctest

      doctest.testmod()








"""simple docstring"""




from datetime import datetime as dt
import os

from github import Github


__UpperCAmelCase =				[
    'good first issue',
    'good second issue',
    'good difficult issue',
    'feature request',
    'new model',
    'wip',
]
def   lowerCAmelCase						(					):
 '''simple docstring'''





 UpperCAmelCase__					:  str					   =					Github(os.environ["""GITHUB_TOKEN"""]      )
 UpperCAmelCase__					:  int					   =					g.get_repo("""huggingface/transformers"""      )
 UpperCAmelCase__					:  Optional[int]					   =					repo.get_issues(state="""open"""      )

 for issue in open_issues:
  UpperCAmelCase__					:  Any					   =					sorted([comment for comment in issue.get_comments()]							,    key=lambda __UpperCamelCase      : i.created_at							,    reverse=__UpperCamelCase      )
  UpperCAmelCase__					:  Union[str, Any]					   =					comments[0] if len(__UpperCamelCase      ) > 0 else None
  if (
      last_comment is not None
      and last_comment.user.login == "github-actions[bot]"
      and (dt.utcnow() - issue.updated_at).days > 7
      and (dt.utcnow() - issue.created_at).days >= 30
      and not any(label.name.lower() in LABELS_TO_EXEMPT for label in issue.get_labels()      )
  ):
   # print(f"Would close issue {issue.number} since it has been 7 days of inactivity since bot mention.")
   issue.edit(state="""closed"""      )
  elif (
      (dt.utcnow() - issue.updated_at).days > 23
      and (dt.utcnow() - issue.created_at).days >= 30
      and not any(label.name.lower() in LABELS_TO_EXEMPT for label in issue.get_labels()      )
  ):
   # print(f"Would add stale comment to {issue.number}")
   issue.create_comment(
       """This issue has been automatically marked as stale because it has not had """
       """recent activity. If you think this still needs to be addressed """
       """please comment on this thread.\n\nPlease note that issues that do not follow the """
       """[contributing guidelines](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md) """
       """are likely to be ignored."""      )


if __name__ == "__main__":
      main()





