|
9 | 9 | import nibabel as nb
|
10 | 10 | from nibabel.eulerangles import euler2mat
|
11 | 11 | from nibabel.affines import from_matvec
|
12 |
| -from scipy.io import loadmat, savemat |
| 12 | +from scipy.io import loadmat |
13 | 13 | from ..io import (
|
14 | 14 | afni,
|
15 | 15 | fsl,
|
|
21 | 21 | FSLinearTransform as LT,
|
22 | 22 | FSLinearTransformArray as LTA,
|
23 | 23 | )
|
24 |
| -from ..io.base import _read_mat, LinearParameters, TransformFileError |
| 24 | +from ..io.base import LinearParameters, TransformFileError |
25 | 25 |
|
26 | 26 | LPS = np.diag([-1, -1, 1, 1])
|
27 | 27 | ITK_MAT = LPS.dot(np.ones((4, 4)).dot(LPS))
|
@@ -393,36 +393,6 @@ def test_LinearParameters(tmpdir):
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393 | 393 | LinearParameters.from_fileobj(tmpdir.join("file.txt").open())
|
394 | 394 |
|
395 | 395 |
|
396 |
| -@pytest.mark.parametrize("matlab_ver", ["4", "5"]) |
397 |
| -def test_read_mat1(tmpdir, matlab_ver): |
398 |
| - """Test read from matlab.""" |
399 |
| - tmpdir.chdir() |
400 |
| - |
401 |
| - savemat("val.mat", {"val": np.ones((3,))}, format=matlab_ver) |
402 |
| - with open("val.mat", "rb") as f: |
403 |
| - mdict = _read_mat(f) |
404 |
| - |
405 |
| - assert np.all(mdict["val"] == np.ones((3,))) |
406 |
| - |
407 |
| - |
408 |
| -@pytest.mark.parametrize("matlab_ver", [-1] + list(range(2, 7))) |
409 |
| -def test_read_mat2(tmpdir, monkeypatch, matlab_ver): |
410 |
| - """Check read matlab raises adequate errors.""" |
411 |
| - from ..io import base |
412 |
| - |
413 |
| - tmpdir.chdir() |
414 |
| - savemat("val.mat", {"val": np.ones((3,))}) |
415 |
| - |
416 |
| - def _mockreturn(arg): |
417 |
| - return (matlab_ver, 0) |
418 |
| - |
419 |
| - with monkeypatch.context() as m: |
420 |
| - m.setattr(base, "get_matfile_version", _mockreturn) |
421 |
| - with pytest.raises(TransformFileError): |
422 |
| - with open("val.mat", "rb") as f: |
423 |
| - _read_mat(f) |
424 |
| - |
425 |
| - |
426 | 396 | def test_afni_Displacements():
|
427 | 397 | """Test displacements fields."""
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428 | 398 | field = nb.Nifti1Image(np.zeros((10, 10, 10)), None, None)
|
|
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