




'''simple docstring'''





from __future__ import annotations

import math


def      UpperCamelCase_(	snake_case							:       list							,				snake_case							:       list     ):

							'''simple docstring'''






							if len(snake_case     ) != 2 or len(a[0]     ) != 2 or len(snake_case     ) != 2 or len(b[0]     ) != 2:
														raise Exception("Matrices are not 2x2"     )
							snake_case_						=      [
							    [a[0][0] * b[0][0] + a[0][1] * b[1][0], a[0][0] * b[0][1] + a[0][1] * b[1][1]],
							    [a[1][0] * b[0][0] + a[1][1] * b[1][0], a[1][0] * b[0][1] + a[1][1] * b[1][1]],
							]
							return new_matrix


def      UpperCamelCase_(	snake_case							:       list							,				snake_case							:       list     ):

							'''simple docstring'''






							return [
							    [matrix_a[row][col] + matrix_b[row][col] for col in range(len(matrix_a[row]     )     )]
							    for row in range(len(snake_case     )     )
							]


def      UpperCamelCase_(	snake_case							:       list							,				snake_case							:       list     ):

							'''simple docstring'''






							return [
							    [matrix_a[row][col] - matrix_b[row][col] for col in range(len(matrix_a[row]     )     )]
							    for row in range(len(snake_case     )     )
							]


def      UpperCamelCase_(	snake_case							:       list     ):

							'''simple docstring'''






							if len(snake_case     ) % 2 != 0 or len(a[0]     ) % 2 != 0:
														raise Exception("Odd matrices are not supported!"     )

							snake_case_						=      len(snake_case     )
							snake_case_						=      matrix_length // 2

							snake_case_						=      [[a[i][j] for j in range(snake_case							,				snake_case     )] for i in range(snake_case     )]
							snake_case_						=      [
							    [a[i][j] for j in range(snake_case							,				snake_case     )] for i in range(snake_case							,				snake_case     )
							]

							snake_case_						=      [[a[i][j] for j in range(snake_case     )] for i in range(snake_case     )]
							snake_case_						=      [[a[i][j] for j in range(snake_case     )] for i in range(snake_case							,				snake_case     )]

							return top_left, top_right, bot_left, bot_right


def      UpperCamelCase_(	snake_case							:       list     ):

							'''simple docstring'''






							return len(snake_case     ), len(matrix[0]     )


def      UpperCamelCase_(	snake_case							:       list     ):

							'''simple docstring'''






							print("\n".join(str(snake_case     ) for line in matrix     )     )


def      UpperCamelCase_(	snake_case							:       list							,				snake_case							:       list     ):

							'''simple docstring'''






							if matrix_dimensions(snake_case     ) == (2, 2):
														return default_matrix_multiplication(snake_case							,				snake_case     )

							snake_case_					,      snake_case_					,      snake_case_					,      snake_case_						=      split_matrix(snake_case     )
							snake_case_					,      snake_case_					,      snake_case_					,      snake_case_						=      split_matrix(snake_case     )

							snake_case_						=      actual_strassen(snake_case							,				matrix_subtraction(snake_case							,				snake_case     )     )
							snake_case_						=      actual_strassen(matrix_addition(snake_case							,				snake_case     )							,				snake_case     )
							snake_case_						=      actual_strassen(matrix_addition(snake_case							,				snake_case     )							,				snake_case     )
							snake_case_						=      actual_strassen(snake_case							,				matrix_subtraction(snake_case							,				snake_case     )     )
							snake_case_						=      actual_strassen(matrix_addition(snake_case							,				snake_case     )							,				matrix_addition(snake_case							,				snake_case     )     )
							snake_case_						=      actual_strassen(matrix_subtraction(snake_case							,				snake_case     )							,				matrix_addition(snake_case							,				snake_case     )     )
							snake_case_						=      actual_strassen(matrix_subtraction(snake_case							,				snake_case     )							,				matrix_addition(snake_case							,				snake_case     )     )

							snake_case_						=      matrix_addition(matrix_subtraction(matrix_addition(snake_case							,				snake_case     )							,				snake_case     )							,				snake_case     )
							snake_case_						=      matrix_addition(snake_case							,				snake_case     )
							snake_case_						=      matrix_addition(snake_case							,				snake_case     )
							snake_case_						=      matrix_subtraction(matrix_subtraction(matrix_addition(snake_case							,				snake_case     )							,				snake_case     )							,				snake_case     )

							# construct the new matrix from our 4 quadrants
							snake_case_						=      []
							for i in range(len(snake_case     )     ):
														new_matrix.append(top_left[i] + top_right[i]     )
							for i in range(len(snake_case     )     ):
														new_matrix.append(bot_left[i] + bot_right[i]     )
							return new_matrix


def      UpperCamelCase_(	snake_case							:       list							,				snake_case							:       list     ):

							'''simple docstring'''






							if matrix_dimensions(snake_case     )[1] != matrix_dimensions(snake_case     )[0]:
														snake_case_						=      (
														    "Unable to multiply these matrices, please check the dimensions.\n"
														    f'Matrix A: {matrixa}\n'
														    f'Matrix B: {matrixa}'
														)
														raise Exception(snake_case     )
							snake_case_						=      matrix_dimensions(snake_case     )
							snake_case_						=      matrix_dimensions(snake_case     )

							if dimensiona[0] == dimensiona[1] and dimensiona[0] == dimensiona[1]:
														return [matrixa, matrixa]

							snake_case_						=      max(*snake_case							,				*snake_case     )
							snake_case_						=      int(math.pow(2							,				math.ceil(math.loga(snake_case     )     )     )     )
							snake_case_						=      matrixa
							snake_case_						=      matrixa

							# Adding zeros to the matrices so that the arrays dimensions are the same and also
							# power of 2
							for i in range(0							,				snake_case     ):
														if i < dimensiona[0]:
																					for _ in range(dimensiona[1]							,				snake_case     ):
																												new_matrixa[i].append(0     )
														else:
																					new_matrixa.append([0] * maxim     )
														if i < dimensiona[0]:
																					for _ in range(dimensiona[1]							,				snake_case     ):
																												new_matrixa[i].append(0     )
														else:
																					new_matrixa.append([0] * maxim     )

							snake_case_						=      actual_strassen(snake_case							,				snake_case     )

							# Removing the additional zeros
							for i in range(0							,				snake_case     ):
														if i < dimensiona[0]:
																					for _ in range(dimensiona[1]							,				snake_case     ):
																												final_matrix[i].pop()
														else:
																					final_matrix.pop()
							return final_matrix


if __name__ == "__main__":
		_SCREAMING_SNAKE_CASE							:   Tuple      		= [
		    [2, 3, 4, 5],
		    [6, 4, 3, 1],
		    [2, 3, 6, 7],
		    [3, 1, 2, 4],
		    [2, 3, 4, 5],
		    [6, 4, 3, 1],
		    [2, 3, 6, 7],
		    [3, 1, 2, 4],
		    [2, 3, 4, 5],
		    [6, 2, 3, 1],
		]
		_SCREAMING_SNAKE_CASE							:   Optional[Any]      		= [[0, 2, 1, 1], [16, 2, 3, 3], [2, 2, 7, 7], [13, 11, 22, 4]]
		print(strassen(matrixa, matrixa))








"""simple docstring"""






import unittest

from datasets import load_dataset

from transformers import BloomTokenizerFast
from transformers.testing_utils import require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin





@require_tokenizers
class      lowerCamelCase__   (     A     ,    unittest.TestCase				):







					"""simple docstring"""


					__a	       =							None
					__a	       =							BloomTokenizerFast
					__a	       =							BloomTokenizerFast
					__a	       =							True
					__a	       =							False
					__a	       =							"""tokenizer_file"""
					__a	       =							{"""bos_token""": """<s>""", """eos_token""": """</s>""", """unk_token""": """<unk>""", """pad_token""": """<pad>"""}






					def lowerCamelCase__							(       self    : int  ):
												'''simple docstring'''






												super().setUp()
												__UpperCAmelCase   :						Any      							=					BloomTokenizerFast.from_pretrained("""bigscience/tokenizer"""  )
												tokenizer.save_pretrained(self.tmpdirname  )






					def lowerCamelCase__							(       self    : Any ,       **UpperCamelCase    : Optional[int]  ):
												'''simple docstring'''






												kwargs.update(self.special_tokens_map  )
												return BloomTokenizerFast.from_pretrained(self.tmpdirname ,       **UpperCamelCase  )






					def lowerCamelCase__							(       self    : Optional[Any]  ):
												'''simple docstring'''






												__UpperCAmelCase   :						Any      							=					self.get_rust_tokenizer()

												__UpperCAmelCase   :						Optional[Any]      							=					["""The quick brown fox</s>""", """jumps over the lazy dog</s>"""]
												__UpperCAmelCase   :						int      							=					[[2_175, 23_714, 73_173, 144_252, 2], [77, 132_619, 3_478, 368, 109_586, 35_433, 2]]

												__UpperCAmelCase   :						Dict      							=					tokenizer.batch_encode_plus(UpperCamelCase  )["""input_ids"""]
												self.assertListEqual(UpperCamelCase ,       UpperCamelCase  )

												__UpperCAmelCase   :						int      							=					tokenizer.batch_decode(UpperCamelCase  )
												self.assertListEqual(UpperCamelCase ,       UpperCamelCase  )






					def lowerCamelCase__							(       self    : int ,       UpperCamelCase    : Any=6  ):
												'''simple docstring'''






												for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
																			with self.subTest(f'''{tokenizer.__class__.__name__} ({pretrained_name})'''  ):
																										__UpperCAmelCase   :						Optional[int]      							=					self.rust_tokenizer_class.from_pretrained(UpperCamelCase ,       **UpperCamelCase  )
																										# tokenizer_r.pad_token = None # Hotfixing padding = None
																										# Simple input
																										__UpperCAmelCase   :						Dict      							=					"""This is a simple input"""
																										__UpperCAmelCase   :						str      							=					["""This is a simple input 1""", """This is a simple input 2"""]
																										__UpperCAmelCase   :						List[str]      							=					("""This is a simple input""", """This is a pair""")
																										__UpperCAmelCase   :						Dict      							=					[
																										    ("""This is a simple input 1""", """This is a simple input 2"""),
																										    ("""This is a simple pair 1""", """This is a simple pair 2"""),
																										]

																										# Simple input tests
																										try:
																																	tokenizer_r.encode(UpperCamelCase ,       max_length=UpperCamelCase  )
																																	tokenizer_r.encode_plus(UpperCamelCase ,       max_length=UpperCamelCase  )

																																	tokenizer_r.batch_encode_plus(UpperCamelCase ,       max_length=UpperCamelCase  )
																																	tokenizer_r.encode(UpperCamelCase ,       max_length=UpperCamelCase  )
																																	tokenizer_r.batch_encode_plus(UpperCamelCase ,       max_length=UpperCamelCase  )
																										except ValueError:
																																	self.fail("""Bloom Tokenizer should be able to deal with padding"""  )

																										__UpperCAmelCase   :						Union[str, Any]      							=					None  # Hotfixing padding = None
																										self.assertRaises(UpperCamelCase ,       tokenizer_r.encode ,       UpperCamelCase ,       max_length=UpperCamelCase ,       padding="""max_length"""  )

																										# Simple input
																										self.assertRaises(UpperCamelCase ,       tokenizer_r.encode_plus ,       UpperCamelCase ,       max_length=UpperCamelCase ,       padding="""max_length"""  )

																										# Simple input
																										self.assertRaises(
																										    UpperCamelCase ,       tokenizer_r.batch_encode_plus ,       UpperCamelCase ,       max_length=UpperCamelCase ,       padding="""max_length""" ,       )

																										# Pair input
																										self.assertRaises(UpperCamelCase ,       tokenizer_r.encode ,       UpperCamelCase ,       max_length=UpperCamelCase ,       padding="""max_length"""  )

																										# Pair input
																										self.assertRaises(UpperCamelCase ,       tokenizer_r.encode_plus ,       UpperCamelCase ,       max_length=UpperCamelCase ,       padding="""max_length"""  )

																										# Pair input
																										self.assertRaises(
																										    UpperCamelCase ,       tokenizer_r.batch_encode_plus ,       UpperCamelCase ,       max_length=UpperCamelCase ,       padding="""max_length""" ,       )






					def lowerCamelCase__							(       self    : Any  ):
												'''simple docstring'''






												__UpperCAmelCase   :						Union[str, Any]      							=					self.get_rust_tokenizer()
												__UpperCAmelCase   :						Optional[Any]      							=					load_dataset("""xnli""" ,       """all_languages""" ,       split="""test""" ,       streaming=UpperCamelCase  )

												__UpperCAmelCase   :						Optional[Any]      							=					next(iter(UpperCamelCase  )  )["""premise"""]  # pick up one data
												__UpperCAmelCase   :						Any      							=					list(sample_data.values()  )

												__UpperCAmelCase   :						Optional[Any]      							=					list(map(tokenizer.encode ,       UpperCamelCase  )  )
												__UpperCAmelCase   :						List[Any]      							=					[tokenizer.decode(UpperCamelCase ,       clean_up_tokenization_spaces=UpperCamelCase  ) for x in output_tokens]
												self.assertListEqual(UpperCamelCase ,       UpperCamelCase  )






					def lowerCamelCase__							(       self    : Optional[Any]  ):
												'''simple docstring'''






												self.assertGreaterEqual(len(self.tokenizer_class.pretrained_vocab_files_map  ) ,       1  )
												self.assertGreaterEqual(len(list(self.tokenizer_class.pretrained_vocab_files_map.values()  )[0]  ) ,       1  )
