






"""simple docstring"""


from __future__ import annotations

import math




def       snake_case  (A_				:list     ,      A_				:list				):







		'''simple docstring'''

		if len(A_				) != 2 or len(a[0]				) != 2 or len(A_				) != 2 or len(b[0]				) != 2:
				raise Exception('Matrices are not 2x2'				)
		a					:      Any    =       [
		    [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       snake_case  (A_				:list     ,      A_				: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(A_				)				)
		]




def       snake_case  (A_				:list     ,      A_				: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(A_				)				)
		]




def       snake_case  (A_				:list				):







		'''simple docstring'''

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

		a					:      Tuple    =       len(A_				)
		a					:      Any    =       matrix_length // 2

		a					:      List[str]    =       [[a[i][j] for j in range(A_     ,      A_				)] for i in range(A_				)]
		a					:      str    =       [
		    [a[i][j] for j in range(A_     ,      A_				)] for i in range(A_     ,      A_				)
		]

		a					:      Union[str, Any]    =       [[a[i][j] for j in range(A_				)] for i in range(A_				)]
		a					:      Any    =       [[a[i][j] for j in range(A_				)] for i in range(A_     ,      A_				)]

		return top_left, top_right, bot_left, bot_right




def       snake_case  (A_				:list				):







		'''simple docstring'''

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




def       snake_case  (A_				:list				):







		'''simple docstring'''

		print('\n'.join(str(A_				) for line in matrix				)				)




def       snake_case  (A_				:list     ,      A_				:list				):







		'''simple docstring'''

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

		a					:      int    =       split_matrix(A_				)
		a					:      Dict    =       split_matrix(A_				)

		a					:      int    =       actual_strassen(A_     ,      matrix_subtraction(A_     ,      A_				)				)
		a					:      List[str]    =       actual_strassen(matrix_addition(A_     ,      A_				)     ,      A_				)
		a					:      List[Any]    =       actual_strassen(matrix_addition(A_     ,      A_				)     ,      A_				)
		a					:      Any    =       actual_strassen(A_     ,      matrix_subtraction(A_     ,      A_				)				)
		a					:      Tuple    =       actual_strassen(matrix_addition(A_     ,      A_				)     ,      matrix_addition(A_     ,      A_				)				)
		a					:      Any    =       actual_strassen(matrix_subtraction(A_     ,      A_				)     ,      matrix_addition(A_     ,      A_				)				)
		a					:      Tuple    =       actual_strassen(matrix_subtraction(A_     ,      A_				)     ,      matrix_addition(A_     ,      A_				)				)

		a					:      Union[str, Any]    =       matrix_addition(matrix_subtraction(matrix_addition(A_     ,      A_				)     ,      A_				)     ,      A_				)
		a					:      str    =       matrix_addition(A_     ,      A_				)
		a					:      Union[str, Any]    =       matrix_addition(A_     ,      A_				)
		a					:      Any    =       matrix_subtraction(matrix_subtraction(matrix_addition(A_     ,      A_				)     ,      A_				)     ,      A_				)

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




def       snake_case  (A_				:list     ,      A_				:list				):







		'''simple docstring'''

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

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

		a					:      Any    =       max(*A_     ,      *A_				)
		a					:      Any    =       int(math.pow(2     ,      math.ceil(math.loga(A_				)				)				)				)
		a					:      int    =       matrixa
		a					:      List[str]    =       matrixa

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

		a					:      Optional[Any]    =       actual_strassen(A_     ,      A_				)

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


if __name__ == "__main__":
			_UpperCamelCase    :   Union[str, Any]   			=						[
			    [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],
			]
			_UpperCamelCase    :   List[str]   			=						[[0, 2, 1, 1], [16, 2, 3, 3], [2, 2, 7, 7], [13, 11, 22, 4]]
			print(strassen(matrixa, matrixa))












"""simple docstring"""


from .glue import glue_convert_examples_to_features, glue_output_modes, glue_processors, glue_tasks_num_labels
from .squad import SquadExample, SquadFeatures, SquadVaProcessor, SquadVaProcessor, squad_convert_examples_to_features
from .utils import DataProcessor, InputExample, InputFeatures, SingleSentenceClassificationProcessor
from .xnli import xnli_output_modes, xnli_processors, xnli_tasks_num_labels




