0c6388a26950beaeec0925e67b9bfb55ccfa2fde,nilearn/glm/tests/test_first_level.py,,test_run_glm,#,219

Before Change

def test_run_glm():
    n, p, q = 100, 80, 10
    X, Y = np.random.randn(p, q), np.random.randn(p, n)

    // Ordinary Least Squares case
    labels, results = run_glm(Y, X, "ols")
    assert_array_equal(labels, np.zeros(n))

After Change

def test_run_glm():
    rng = np.random.RandomState(42)
    n, p, q = 100, 80, 10
    X, Y = rng.standard_normal(size=(p, q)), rng.standard_normal(size=(p, n))

    // Ordinary Least Squares case
    labels, results = run_glm(Y, X, "ols")
    assert_array_equal(labels, np.zeros(n))

Instances