From 5b7c29a2621d8eb41440ada4044abcb0600f39e7 Mon Sep 17 00:00:00 2001
From: Lukasz M <ttecluk@gmail.com>
Date: Thu, 31 Mar 2022 11:42:29 +0200
Subject: [PATCH] abstracted random matrix generation to a separate function
 genmatrix

---
 linalg-practice.py | 17 ++++++++++-------
 1 file changed, 10 insertions(+), 7 deletions(-)

diff --git a/linalg-practice.py b/linalg-practice.py
index 59f663f..2b2c8f3 100644
--- a/linalg-practice.py
+++ b/linalg-practice.py
@@ -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 :