Fix testGetItem test that rarely failed.

The failure happens when F.shape[1] == 1 (F is generated randomly).

E
======================================================================
ERROR: testGetItem (__main__.TestFaustPy)
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Traceback (most recent call last):
  File "/home/gitlab-runner/test_FaustPy.py", line 300, in testGetItem
    rand_i, rand_j = self.r.randint(0,self.F.shape[0]-2),self.r.randint(0,self.F.shape[1]-2)
  File "/usr/lib64/python3.9/random.py", line 338, in randint
    return self.randrange(a, b+1)
  File "/usr/lib64/python3.9/random.py", line 316, in randrange
    raise ValueError("empty range for randrange() (%d, %d, %d)" % (istart, istop, width))

misc/test/src/Python/test_FaustPy.py

@@ -24,10 +24,9 @@ class TestFaustPy(unittest.TestCase):
         factors = []
         d2 = r.randint(TestFaustPy.MIN_DIM_SIZE, TestFaustPy.MAX_DIM_SIZE)
         for i in range(0, num_factors):
-            d1, d2 = d2, r.randint(1, TestFaustPy.MAX_DIM_SIZE)
+            d1, d2 = d2, r.randint(TestFaustPy.MIN_DIM_SIZE, TestFaustPy.MAX_DIM_SIZE)
             factors += [sparse.random(d1, d2, density=0.5, format='csr',
                         dtype=np.float64)] #.toarray() removed
-            #print("factor",i,":", factors[i])
         self.F = Faust(factors)
         self.factors = factors
         # we keep dense matrices as reference for the tests
@@ -292,7 +291,7 @@ class TestFaustPy(unittest.TestCase):
         prod = self.mulFactors()
         test_prod = self.F[::,::].toarray()
         self.assertProdEq(prod, test_prod)
-        # reminder the Faust is of minimal size 3 for the both dims (MIN_DIM_SIZE)
+        # remind the Faust is of minimal size 3 for the both dims (MIN_DIM_SIZE)
         # test_prod = self.F[...,...].toarray() # forbidden (only one index can
         # be an ellipsis)
         # self.assertProdEq(prod, test_prod)