

"""simple docstring"""




from __future__ import annotations

from decimal import Decimal

from numpy import array

def 						A							(  snake_case__     ):




			'''simple docstring'''


			SCREAMING_SNAKE_CASE__										=   Decimal

			# Check if the provided matrix has 2 rows and 2 columns
			# since this implementation only works for 2x2 matrices
			if len(snake_case__     ) == 2 and len(matrix[0]     ) == 2 and len(matrix[1]     ) == 2:
						# Calculate the determinant of the matrix
						SCREAMING_SNAKE_CASE__										=   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
						SCREAMING_SNAKE_CASE__										=   [[0.0, 0.0], [0.0, 0.0]]
						SCREAMING_SNAKE_CASE__				,		SCREAMING_SNAKE_CASE__										=   matrix[1][1], matrix[0][0]
						SCREAMING_SNAKE_CASE__				,		SCREAMING_SNAKE_CASE__										=   -matrix[1][0], -matrix[0][1]

						# Calculate the inverse of the matrix
						return [
						    [(float(d(snake_case__     )     ) / determinant) or 0.0 for n in row] for row in swapped_matrix
						]
			elif (
			    len(snake_case__     ) == 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
						SCREAMING_SNAKE_CASE__										=   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
						SCREAMING_SNAKE_CASE__										=   [
						    [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     )],
						]
						SCREAMING_SNAKE_CASE__										=   (d(matrix[1][1]     ) * d(matrix[2][2]     )) - (
						    d(matrix[1][2]     ) * d(matrix[2][1]     )
						)
						SCREAMING_SNAKE_CASE__										=   -(
						    (d(matrix[1][0]     ) * d(matrix[2][2]     )) - (d(matrix[1][2]     ) * d(matrix[2][0]     ))
						)
						SCREAMING_SNAKE_CASE__										=   (d(matrix[1][0]     ) * d(matrix[2][1]     )) - (
						    d(matrix[1][1]     ) * d(matrix[2][0]     )
						)
						SCREAMING_SNAKE_CASE__										=   -(
						    (d(matrix[0][1]     ) * d(matrix[2][2]     )) - (d(matrix[0][2]     ) * d(matrix[2][1]     ))
						)
						SCREAMING_SNAKE_CASE__										=   (d(matrix[0][0]     ) * d(matrix[2][2]     )) - (
						    d(matrix[0][2]     ) * d(matrix[2][0]     )
						)
						SCREAMING_SNAKE_CASE__										=   -(
						    (d(matrix[0][0]     ) * d(matrix[2][1]     )) - (d(matrix[0][1]     ) * d(matrix[2][0]     ))
						)
						SCREAMING_SNAKE_CASE__										=   (d(matrix[0][1]     ) * d(matrix[1][2]     )) - (
						    d(matrix[0][2]     ) * d(matrix[1][1]     )
						)
						SCREAMING_SNAKE_CASE__										=   -(
						    (d(matrix[0][0]     ) * d(matrix[1][2]     )) - (d(matrix[0][2]     ) * d(matrix[1][0]     ))
						)
						SCREAMING_SNAKE_CASE__										=   (d(matrix[0][0]     ) * d(matrix[1][1]     )) - (
						    d(matrix[0][1]     ) * d(matrix[1][0]     )
						)

						# Transpose the cofactor matrix (Adjoint matrix)
						SCREAMING_SNAKE_CASE__										=   array(snake_case__     )
						for i in range(3     ):
									for j in range(3     ):
												SCREAMING_SNAKE_CASE__										=   cofactor_matrix[j][i]

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

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





"""simple docstring"""




import os
import unittest

from transformers.models.phobert.tokenization_phobert import VOCAB_FILES_NAMES, PhobertTokenizer

from ...test_tokenization_common import TokenizerTesterMixin





class  lowerCamelCase    (A__      ,unittest.TestCase      ):
			lowerCamelCase__ :		List[str]       		=				PhobertTokenizer
			lowerCamelCase__ :		Union[str, Any]       		=				False

			def        SCREAMING_SNAKE_CASE					(       self					:    int							) ->     Any:
						super().setUp()

						# Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
						SCREAMING_SNAKE_CASE__										=   ["""T@@""", """i""", """I""", """R@@""", """r""", """e@@"""]
						SCREAMING_SNAKE_CASE__										=   dict(zip(__UpperCAmelCase     ,					range(len(__UpperCAmelCase							)							)							)							)
						SCREAMING_SNAKE_CASE__										=   ["""#version: 0.2""", """l à</w>"""]
						SCREAMING_SNAKE_CASE__										=   {"""unk_token""": """<unk>"""}

						SCREAMING_SNAKE_CASE__										=   os.path.join(self.tmpdirname     ,					VOCAB_FILES_NAMES["""vocab_file"""]							)
						SCREAMING_SNAKE_CASE__										=   os.path.join(self.tmpdirname     ,					VOCAB_FILES_NAMES["""merges_file"""]							)

						with open(self.vocab_file     ,					"""w"""     ,					encoding="""utf-8"""							) as fp:
									for token in vocab_tokens:
												fp.write(F"""{token} {vocab_tokens[token]}\n"""							)
						with open(self.merges_file     ,					"""w"""     ,					encoding="""utf-8"""							) as fp:
									fp.write("""\n""".join(__UpperCAmelCase							)							)

			def        SCREAMING_SNAKE_CASE					(       self					:    List[Any]     ,					**__UpperCAmelCase					:    int							) ->     Optional[int]:
						kwargs.update(self.special_tokens_map							)
						return PhobertTokenizer.from_pretrained(self.tmpdirname     ,					**__UpperCAmelCase							)

			def        SCREAMING_SNAKE_CASE					(       self					:    Dict     ,					__UpperCAmelCase					:    int							) ->     Optional[Any]:
						SCREAMING_SNAKE_CASE__										=   """Tôi là VinAI Research"""
						SCREAMING_SNAKE_CASE__										=   """T<unk> i <unk> <unk> <unk> <unk> <unk> <unk> I Re<unk> e<unk> <unk> <unk> <unk>"""
						return input_text, output_text





			def        SCREAMING_SNAKE_CASE					(       self					:    Optional[int]							) ->     int:
						SCREAMING_SNAKE_CASE__										=   PhobertTokenizer(self.vocab_file     ,					self.merges_file     ,					**self.special_tokens_map							)
						SCREAMING_SNAKE_CASE__										=   """Tôi là VinAI Research"""
						SCREAMING_SNAKE_CASE__										=   """T@@ ô@@ i l@@ à V@@ i@@ n@@ A@@ I R@@ e@@ s@@ e@@ a@@ r@@ c@@ h""".split()
						SCREAMING_SNAKE_CASE__										=   tokenizer.tokenize(__UpperCAmelCase							)
						print(__UpperCAmelCase							)
						self.assertListEqual(__UpperCAmelCase     ,					__UpperCAmelCase							)

						SCREAMING_SNAKE_CASE__										=   tokens + [tokenizer.unk_token]

						SCREAMING_SNAKE_CASE__										=   [4, 3, 5, 3, 3, 3, 3, 3, 3, 6, 7, 9, 3, 9, 3, 3, 3, 3, 3]
						self.assertListEqual(tokenizer.convert_tokens_to_ids(__UpperCAmelCase							)     ,					__UpperCAmelCase							)


