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import math
import numpy
def LUDecompose (table):
#table that contains our data #table has to be a square array so we need to check first
rowscolumns=numpy.shape(table)
L=numpy.zeros((rowscolumns))
U=numpy.zeros((rowscolumns))
if rows!=columns:
return
for i in range (columns):
for j in range(i-1):
sum=0
for k in ran
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