

"""simple docstring"""






from __future__ import annotations






class      _UpperCAmelCase      :
			def __init__(		self   ,		_A  )     ->     int:






				'''simple docstring'''







				_UpperCAmelCase     :				Optional[int]          =       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     :				Union[str, Any]          =       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     :				Any          =       rows
				else:
					_UpperCAmelCase     :				Union[str, Any]          =       []
			def 				__snake_case			(		self  )     ->     list[list[int]]:






				'''simple docstring'''







				return [[row[i] for row in self.rows] for i in range(len(self.rows[0]  )  )]
			@property
			def 				__snake_case			(		self  )     ->     int:






				'''simple docstring'''







				return len(self.rows  )
			@property
			def 				__snake_case			(		self  )     ->     int:






				'''simple docstring'''







				return len(self.rows[0]  )
			@property
			def 				__snake_case			(		self  )     ->     tuple[int, int]:






				'''simple docstring'''







				return (self.num_rows, self.num_columns)
			@property
			def 				__snake_case			(		self  )     ->     bool:






				'''simple docstring'''







				return self.order[0] == self.order[1]
			def 				__snake_case			(		self  )     ->     Matrix:






				'''simple docstring'''







				_UpperCAmelCase     :				Tuple          =       [
				    [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 				__snake_case			(		self  )     ->     int:






				'''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 				__snake_case			(		self  )     ->     bool:






				'''simple docstring'''







				return bool(self.determinant()  )
			def 				__snake_case			(		self   ,		_A   ,		_A  )     ->     int:






				'''simple docstring'''







				_UpperCAmelCase     :				Optional[Any]          =       [
				    [
				        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 				__snake_case			(		self   ,		_A   ,		_A  )     ->     int:






				'''simple docstring'''







				if (row + column) % 2 == 0:
					return self.get_minor(a_   ,		a_  )
				return -1 * self.get_minor(a_   ,		a_  )
			def 				__snake_case			(		self  )     ->     Matrix:






				'''simple docstring'''







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






				'''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 				__snake_case			(		self  )     ->     Matrix:






				'''simple docstring'''







				_UpperCAmelCase     :				Optional[int]          =       [
				    [self.cofactors().rows[column][row] for column in range(self.num_columns  )]
				    for row in range(self.num_rows  )
				]
				return Matrix(a_  )
			def 				__snake_case			(		self  )     ->     Matrix:






				'''simple docstring'''







				_UpperCAmelCase     :				int          =       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  )     ->     str:






				'''simple docstring'''







				return str(self.rows  )
			def __str__(		self  )     ->     str:






				'''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 				__snake_case			(		self   ,		_A   ,		_A = None  )     ->     None:






				'''simple docstring'''







				_UpperCAmelCase     :				List[Any]          =       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     :				Any          =       self.rows[0:position] + [row] + self.rows[position:]
			def 				__snake_case			(		self   ,		_A   ,		_A = None  )     ->     None:






				'''simple docstring'''







				_UpperCAmelCase     :				str          =       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     :				Any          =       [self.rows[i] + [column[i]] for i in range(self.num_rows  )]
				else:
					_UpperCAmelCase     :				Optional[Any]          =       [
					    self.rows[i][0:position] + [column[i]] + self.rows[i][position:]
					    for i in range(self.num_rows  )
					]
			def __eq__(		self   ,		_A  )     ->     bool:






				'''simple docstring'''







				if not isinstance(a_   ,		a_  ):
					return NotImplemented
				return self.rows == other.rows
			def __ne__(		self   ,		_A  )     ->     bool:






				'''simple docstring'''







				return not self == other
			def __neg__(		self  )     ->     Matrix:






				'''simple docstring'''







				return self * -1
			def __add__(		self   ,		_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   ,		_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   ,		_A  )     ->     Matrix:






				'''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   ,		_A  )     ->     Matrix:






				'''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     :				Dict          =       self
				for _ in range(other - 1  ):
					result *= self
				return result
			@classmethod
			def 				__snake_case			(		cls   ,		_A   ,		_A  )     ->     int:






				'''simple docstring'''







				return sum(row[i] * column[i] for i in range(len(a_  )  )  )


if __name__ == "__main__":
						import doctest

						doctest.testmod()










'''simple docstring'''

import os
import unittest

from transformers import FunnelTokenizer, FunnelTokenizerFast
from transformers.models.funnel.tokenization_funnel import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin






@require_tokenizers
class 						a_		(     snake_case    ,   unittest.TestCase    ):
							UpperCAmelCase			:		int        =				FunnelTokenizer
							UpperCAmelCase			:		Tuple        =				FunnelTokenizerFast
							UpperCAmelCase			:		List[str]        =				True
							UpperCAmelCase			:		Tuple        =				True


							def    UpperCamelCase     (				self   :						Optional[Any]			)			->					Optional[Any]:
										super().setUp()

										snake_case:    Optional[Any]      							=[
										    '<unk>',
										    '<cls>',
										    '<sep>',
										    'want',
										    '##want',
										    '##ed',
										    'wa',
										    'un',
										    'runn',
										    '##ing',
										    ',',
										    'low',
										    'lowest',
										]
										snake_case:    Any      							=os.path.join(self.tmpdirname      ,						VOCAB_FILES_NAMES['vocab_file']			)
										with open(self.vocab_file      ,						'w'      ,						encoding='utf-8'			) as vocab_writer:
													vocab_writer.write(''.join([x + '\n' for x in vocab_tokens]			)			)


							def    UpperCamelCase     (				self   :						Tuple      ,						**a_   :						str			)			->					Any:
										return FunnelTokenizer.from_pretrained(self.tmpdirname      ,						**a_			)


							def    UpperCamelCase     (				self   :						List[Any]      ,						**a_   :						int			)			->					str:
										return FunnelTokenizerFast.from_pretrained(self.tmpdirname      ,						**a_			)


							def    UpperCamelCase     (				self   :						Any      ,						a_   :						Union[str, Any]			)			->					Union[str, Any]:
										snake_case:    List[str]      							='UNwant\u00E9d,running'
										snake_case:    Dict      							='unwanted, running'
										return input_text, output_text


							def    UpperCamelCase     (				self   :						Optional[int]			)			->					List[Any]:
										snake_case:    Union[str, Any]      							=self.tokenizer_class(self.vocab_file			)

										snake_case:    Dict      							=tokenizer.tokenize('UNwant\u00E9d,running'			)
										self.assertListEqual(a_      ,						['un', '##want', '##ed', ',', 'runn', '##ing']			)
										self.assertListEqual(tokenizer.convert_tokens_to_ids(a_			)      ,						[7, 4, 5, 1_0, 8, 9]			)




							def    UpperCamelCase     (				self   :						List[str]			)			->					Dict:
										snake_case:    Optional[Any]      							=self.get_tokenizers(do_lower_case=a_			)
										for tokenizer in tokenizers:
													snake_case:    str      							=tokenizer('UNwant\u00E9d,running'			)
													snake_case:    Union[str, Any]      							=len(inputs['input_ids']			) - 1
													self.assertListEqual(inputs['token_type_ids']      ,						[2] + [0] * sentence_len			)

													snake_case:    List[str]      							=tokenizer('UNwant\u00E9d,running'      ,						'UNwant\u00E9d,running'			)
													self.assertListEqual(inputs['token_type_ids']      ,						[2] + [0] * sentence_len + [1] * sentence_len			)




