def test_streamline_signal():
data_file, bval_file, bvec_file = dpd.get_data('small_64D')
gtab = dpg.gradient_table(bval_file, bvec_file)
evals = [0.0015, 0.0005, 0.0005]
streamline1 = [[[1, 2, 3], [4, 5, 3], [5, 6, 3], [6, 7, 3]],
[[1, 2, 3], [4, 5, 3], [5, 6, 3]]]
sig1 = [life.streamline_signal(s, gtab, evals) for s in streamline1]
streamline2 = [[[1, 2, 3], [4, 5, 3], [5, 6, 3], [6, 7, 3]]]
sig2 = [life.streamline_signal(s, gtab, evals) for s in streamline2]
npt.assert_array_equal(streamline2[0], streamline1[0])
def test_streamline_signal():
data_file, bval_file, bvec_file = dpd.get_data('small_64D')
gtab = dpg.gradient_table(bval_file, bvec_file)
evals = [0.0015, 0.0005, 0.0005]
streamline1 = [[[1, 2, 3], [4, 5, 3], [5, 6, 3], [6, 7, 3]],
[[1, 2, 3], [4, 5, 3], [5, 6, 3]]]
sig1 = [life.streamline_signal(s, gtab, evals) for s in streamline1]
streamline2 = [[[1, 2, 3], [4, 5, 3], [5, 6, 3], [6, 7, 3]]]
sig2 = [life.streamline_signal(s, gtab, evals) for s in streamline2]
npt.assert_array_equal(streamline2[0], streamline1[0])
