0984f46bf7f8e4508f5e177cb71ffc68ba178cc5,nilearn/image/resampling.py,,coord_transform,#Any#Any#Any#Any#,89

Before Change

    x, y, z, _ = np.dot(affine, coords)
    if squeeze:
        return x.squeeze(), y.squeeze(), z.squeeze()
    return x, y, z


def get_bounds(shape, affine):
    Return the world-space bounds occupied by an array given an affine.

After Change

    
    squeeze = (not hasattr(x, "__iter__"))
    x = np.asanyarray(x)
    shape = x.shape
    coords = np.c_[np.atleast_1d(x).flat,
                   np.atleast_1d(y).flat,
                   np.atleast_1d(z).flat,
                   np.ones_like(np.atleast_1d(z).flat)].T

Instances