def odd_even():
# generate random vector containing 99 elements
x = np.random.rand(1, 99)
algs.main(x)
# generate random vector containing 999 elements
x = np.random.rand(1, 999)
algs.main(x)
def test_duplicated():
# generate random vector containing 100 elements
x = np.random.rand(1, 100)
y = x.tolist()
z = y[0]
# add the first element to the list again (duplicate it)
y.append(z)
algs.main(y)
def run_stuff():
print("This is run_stuff() from ", __file__)
lengths = np.arange(100,1100,100)
bcounts = []
qcounts = []
for le in lengths:
x = np.random.rand(le)
print("Unsorted input:\n", x, "\n")
ab, cb, aq, cq = algs.main(x)
bcounts.append([ab, cb])
qcounts.append([aq, cq])
return bcounts, qcounts
def test_single():
# generate random vector containing 1 element
x = np.random.rand(1, 1)
algs.main(x)
def test_empty():
# generate random vector of length 0
x = np.empty([1, 1])
algs.main(x) # check if it fails if the vector is empty
def test_main():
# generate random vector of length 100
x = np.random.rand(100)
algs.main(x)