



'''simple docstring'''





from __future__ import annotations

class 						a   :




				def __init__(							self	:				Any,    SCREAMING_SNAKE_CASE_	:				str      ):
										snake_case       :     Optional[Any] =    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(_SCREAMING_SNAKE_CASE      ) != 0:
																snake_case       :     int =    len(rows[0]      )
																if cols == 0:
																						raise error
																for row in rows:
																						if len(_SCREAMING_SNAKE_CASE      ) != cols:
																												raise error
																						for value in row:
																												if not isinstance(_SCREAMING_SNAKE_CASE,    (int, float)      ):
																																		raise error
																snake_case       :     Dict =    rows
										else:
																snake_case       :     List[Any] =    []




				def 	__snake_case							(							self	:				Union[str, Any]      ):
										return [[row[i] for row in self.rows] for i in range(len(self.rows[0]      )      )]




				@property
				def 	__snake_case							(							self	:				Any      ):
										return len(self.rows      )




				@property
				def 	__snake_case							(							self	:				Dict      ):
										return len(self.rows[0]      )




				@property
				def 	__snake_case							(							self	:				Optional[int]      ):
										return (self.num_rows, self.num_columns)




				@property
				def 	__snake_case							(							self	:				List[str]      ):
										return self.order[0] == self.order[1]




				def 	__snake_case							(							self	:				Optional[Any]      ):
										snake_case       :     List[str] =    [
										    [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(_SCREAMING_SNAKE_CASE      )




				def 	__snake_case							(							self	:				Optional[Any]      ):
										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 	__snake_case							(							self	:				str      ):
										return bool(self.determinant()      )




				def 	__snake_case							(							self	:				List[Any],    SCREAMING_SNAKE_CASE_	:				Optional[Any],    SCREAMING_SNAKE_CASE_	:				Tuple      ):
										snake_case       :     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(_SCREAMING_SNAKE_CASE      ).determinant()




				def 	__snake_case							(							self	:				List[str],    SCREAMING_SNAKE_CASE_	:				Tuple,    SCREAMING_SNAKE_CASE_	:				Optional[Any]      ):
										if (row + column) % 2 == 0:
																return self.get_minor(_SCREAMING_SNAKE_CASE,    _SCREAMING_SNAKE_CASE      )
										return -1 * self.get_minor(_SCREAMING_SNAKE_CASE,    _SCREAMING_SNAKE_CASE      )




				def 	__snake_case							(							self	:				Dict      ):
										return Matrix(
										    [
										        [self.get_minor(_SCREAMING_SNAKE_CASE,    _SCREAMING_SNAKE_CASE      ) for column in range(self.num_columns      )]
										        for row in range(self.num_rows      )
										    ]      )




				def 	__snake_case							(							self	:				Union[str, Any]      ):
										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 	__snake_case							(							self	:				Optional[int]      ):
										snake_case       :     Union[str, Any] =    [
										    [self.cofactors().rows[column][row] for column in range(self.num_columns      )]
										    for row in range(self.num_rows      )
										]
										return Matrix(_SCREAMING_SNAKE_CASE      )




				def 	__snake_case							(							self	:				List[str]      ):
										snake_case       :     List[str] =    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]      ):
										return str(self.rows      )




				def __str__(							self	:				Tuple      ):
										if self.num_rows == 0:
																return "[]"
										if self.num_rows == 1:
																return "[[" + ". ".join(str(self.rows[0]      )      ) + "]]"
										return (
										    "["
										    + "\n ".join(
										        [
										            '''[''' + '''. '''.join([str(_SCREAMING_SNAKE_CASE      ) for value in row]      ) + '''.]'''
										            for row in self.rows
										        ]      )
										    + "]"
										)




				def 	__snake_case							(							self	:				Dict,    SCREAMING_SNAKE_CASE_	:				int,    SCREAMING_SNAKE_CASE_	:				Dict = None      ):
										snake_case       :     Optional[int] =    TypeError('''Row must be a list containing all ints and/or floats'''      )
										if not isinstance(_SCREAMING_SNAKE_CASE,    _SCREAMING_SNAKE_CASE      ):
																raise type_error
										for value in row:
																if not isinstance(_SCREAMING_SNAKE_CASE,    (int, float)      ):
																						raise type_error
										if len(_SCREAMING_SNAKE_CASE      ) != 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(_SCREAMING_SNAKE_CASE      )
										else:
																snake_case       :     Optional[Any] =    self.rows[0:position] + [row] + self.rows[position:]




				def 	__snake_case							(							self	:				str,    SCREAMING_SNAKE_CASE_	:				str,    SCREAMING_SNAKE_CASE_	:				int = None      ):
										snake_case       :     Tuple =    TypeError(
										    '''Column must be a list containing all ints and/or floats'''      )
										if not isinstance(_SCREAMING_SNAKE_CASE,    _SCREAMING_SNAKE_CASE      ):
																raise type_error
										for value in column:
																if not isinstance(_SCREAMING_SNAKE_CASE,    (int, float)      ):
																						raise type_error
										if len(_SCREAMING_SNAKE_CASE      ) != self.num_rows:
																raise ValueError(
																    '''Column must be equal in length to the other columns in the matrix'''      )
										if position is None:
																snake_case       :     Dict =    [self.rows[i] + [column[i]] for i in range(self.num_rows      )]
										else:
																snake_case       :     List[str] =    [
																    self.rows[i][0:position] + [column[i]] + self.rows[i][position:]
																    for i in range(self.num_rows      )
																]




				def __eq__(							self	:				Optional[Any],    SCREAMING_SNAKE_CASE_	:				int      ):
										if not isinstance(_SCREAMING_SNAKE_CASE,    _SCREAMING_SNAKE_CASE      ):
																return NotImplemented
										return self.rows == other.rows




				def __ne__(							self	:				List[str],    SCREAMING_SNAKE_CASE_	:				Any      ):
										return not self == other




				def __neg__(							self	:				Tuple      ):
										return self * -1




				def __add__(							self	:				Union[str, Any],    SCREAMING_SNAKE_CASE_	:				Optional[int]      ):
										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],    SCREAMING_SNAKE_CASE_	:				Union[str, Any]      ):
										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	:				List[Any],    SCREAMING_SNAKE_CASE_	:				Dict      ):
										if isinstance(_SCREAMING_SNAKE_CASE,    (int, float)      ):
																return Matrix(
																    [[int(element * other      ) for element in row] for row in self.rows]      )
										elif isinstance(_SCREAMING_SNAKE_CASE,    _SCREAMING_SNAKE_CASE      ):
																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(_SCREAMING_SNAKE_CASE,    _SCREAMING_SNAKE_CASE      ) 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	:				Any,    SCREAMING_SNAKE_CASE_	:				List[str]      ):
										if not isinstance(_SCREAMING_SNAKE_CASE,    _SCREAMING_SNAKE_CASE      ):
																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'''      )
										snake_case       :     Dict =    self
										for _ in range(other - 1      ):
																result *= self
										return result




				@classmethod
				def 	__snake_case							(							cls	:				Dict,    SCREAMING_SNAKE_CASE_	:				Any,    SCREAMING_SNAKE_CASE_	:				Optional[Any]      ):
										return sum(row[i] * column[i] for i in range(len(_SCREAMING_SNAKE_CASE      )      )      )


if __name__ == "__main__":
						import doctest

						doctest.testmod()



'''simple docstring'''





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    					=   "src/transformers"


# This is to make sure the transformers module imported is the one in the repo.
UpperCAmelCase    					=   direct_transformers_import(PATH_TO_TRANSFORMERS)

UpperCAmelCase    					=   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    					=   re.compile(r"\[(.+?)\]\((https://huggingface\.co/.+?)\)")


UpperCAmelCase    					=   {
    "DecisionTransformerConfig",
    "EncoderDecoderConfig",
    "MusicgenConfig",
    "RagConfig",
    "SpeechEncoderDecoderConfig",
    "TimmBackboneConfig",
    "VisionEncoderDecoderConfig",
    "VisionTextDualEncoderConfig",
    "LlamaConfig",
}

def      A (       A_							:					Union[str, Any]       ):
						snake_case       :     Tuple =    None

						# source code of `config_class`
						snake_case       :     Union[str, Any] =    inspect.getsource(A_       )
						snake_case       :     List[Any] =    _re_checkpoint.findall(A_       )

						# 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('''/'''       ):
																		snake_case       :     Optional[int] =    ckpt_link[:-1]

												# verify the checkpoint name corresponds to the checkpoint link
												snake_case       :     Dict =    F"""https://huggingface.co/{ckpt_name}"""
												if ckpt_link == ckpt_link_from_name:
																		snake_case       :     Dict =    ckpt_name
																		break

						return checkpoint

def      A (       ):
						snake_case       :     List[str] =    []

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

												snake_case       :     Optional[Any] =    config_class.__name__
												if checkpoint is None and name not in CONFIG_CLASSES_TO_IGNORE_FOR_DOCSTRING_CHECKPOINT_CHECK:
																		configs_without_checkpoint.append(A_       )

						if len(A_       ) > 0:
												snake_case       :     Optional[int] =    '''\n'''.join(sorted(A_       )       )
												raise ValueError(F"""The following configurations don't contain any valid checkpoint:\n{message}"""       )


if __name__ == "__main__":
						check_config_docstrings_have_checkpoints()

