verdsveven/LinAlg-Practice
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abstracted random matrix generation to a separate function genmatrix

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This commit is contained in:
Lukasz M 2022-03-31 11:42:29 +02:00
parent a70b6fd0b7
commit 5b7c29a262
1 changed files with 10 additions and 7 deletions
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17
linalg-practice.py
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@ -2,6 +2,14 @@ import sympy as sp
import time
import random
def genmatrix(rowcol, intmax, dif) :
# generate a random matrices
a = sp.randMatrix(rowcol, rowcol, 0, intmax)
# if determinant non-zero, radnom value less than difficulty, set a to its inverse
if a.det() != 0 and random.random() <= dif :
a = a.inv()
return a
# in function to take arbitrary matrix input from user
def inmat(rowcol) :
# initialise list of lists
@ -70,13 +78,8 @@ def practice(t) :
# infinite loop of practice
while True :
# generate a random matrices
a = sp.randMatrix(rowcol, rowcol, 0, intmax)
b = sp.randMatrix(rowcol, rowcol, 0, intmax)
# if determinant non-zero, radnom value less than difficulty, set a to its inverse
if a.det() != 0 and random.random() <= dif :
a = a.inv()
a = genmatrix(rowcol, intmax, dif)
b = genmatrix(rowcol, intmax, dif)
# infinite loop until user succeeds
while True :