e706526aef384392be0395e7c69e3795289ada11,nilearn/decoding/tests/test_same_api.py,,test_smoothlasso_and_tv_same_for_pure_l1_another_test,#Any#,167

Before Change

    // when l1_ratio = 1.
    //////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////

    dim = (16, 16)
    W_init = np.zeros(dim)
    W_init[2:6, 3:7] = 1
    np.random.seed(0)
    n = 10
    p = dim[0] * dim[1]
    X = np.ones((n, 1)) + W_init.ravel().T
    X += np.random.randn(n, p)
    y = np.dot(X, W_init.ravel())
    mask = np.ones(X.shape[1]).astype(np.bool).reshape(dim)
    alpha = .1
    l1_ratio = 1.
    max_iter = 20

After Change

    // when l1_ratio = 1.
    //////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////

    X, y, _, mask = _make_data(masked=True)
    X, mask = to_niimgs(X, (4, 5, 6))
    alpha = .1
    l1_ratio = 1.

Instances