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How to use factor_line method in tox

Best Python code snippet using tox_python

commons.py

Source:commons.py

1import numpy as np2from fractions import Fraction3from decimal import Decimal4from pdb import set_trace	5def add_identity_matrix(matrix, position, size,value):6	adicional_row = np.zeros(size)7	adicional_row = adicional_row+value8	identity = np.identity(size)9	sub_matrix = np.insert(identity, 0, adicional_row, axis=0)10	arrays_list = []11	for line_index in range(matrix.shape[0]):12		extended_row = np.insert(matrix[line_index], position, sub_matrix[line_index])13		arrays_list.append(extended_row)14	return np.array(arrays_list)15def parse_to_fpi(matrix):16	position = (matrix.shape[1])-117	size = matrix.shape[0]-118	return add_identity_matrix(matrix,position,size,0)19def put_tableux_form(matrix):20	matrix_A_lines = (matrix.shape[0]-1)21	matrix = add_identity_matrix(matrix,0,matrix_A_lines,0) # adds array of operations 22	matrix[0,:] = (-1)*matrix[0,:] # Negative vector c23	return matrix24def pivoting(matrix, line_index, column_index):25	26	factor_line = (matrix[line_index,:]).copy()27	for index in range(0,matrix.shape[0]):#line28		factor = Fraction( Fraction( (-matrix[index,column_index])),Fraction( (factor_line[column_index]))).limit_denominator(1000000)29		30		if index == line_index:31			for column in range(0,matrix.shape[1]):32				matrix[index,column] = Fraction(Fraction((matrix[index,column]))  , Fraction((factor_line[column_index]))).limit_denominator(1000000)33			34		else:35			for column in range(0,matrix.shape[1]):#column36				matrix[index,column] = Fraction( (factor_line[column]*factor)+ matrix[index,column]	).limit_denominator(1000000)37	f = open('primeiro.txt', 'r')38	conteudo = f.readlines()39	40	for index in range(0,matrix.shape[0]):41		conteudo.append(str(matrix[index,:].tolist())+"\n")42	conteudo.append("\n\n")	43	f = open('primeiro.txt', 'w')44	f.writelines(conteudo)45	f.close()46def canonical_form(matrix,base_columns):47	if(not verify_canonical_form(matrix,base_columns)):48		put_canonical_form(matrix,base_columns)49def verify_canonical_form(matrix,base_columns):50	begin_A_columns = matrix.shape[0]-151	for index in range(begin_A_columns,matrix.shape[1]):52		count_ones = 053		base = None54		if (matrix[0,index] == 0):55			for line in range(1,matrix.shape[0]):				56				if(matrix[line,index] == 1):57					count_ones+=158					base = line59				elif(matrix[line,index] == 0):60					continue61				else:62					base = None63					break64		if(base is not None and count_ones == 1):65			base_columns[base] = index #to the base line of the 'base' line, my pivo is in the column base_columns [base]66	if(all( i >0 for i in base_columns)):67		return True68	else:69		return False70def put_canonical_form(matrix,base_columns):71	for linha in range(1 , base_columns.shape[0]):72		matrix[0,:] = matrix[linha,:]*( (-matrix[0,int(base_columns[linha])])/matrix[linha,int(base_columns[linha])])+matrix[0,:]	...

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