Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

fix: remove flag from normalize #1048

Merged
merged 3 commits into from
Feb 10, 2015
Merged
Show file tree
Hide file tree
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
1 change: 1 addition & 0 deletions CHANGES
Original file line number Diff line number Diff line change
@@ -1,6 +1,7 @@
Next release
============

* FIX: remove unused mandatory flag from spm normalize (https://github.com/nipy/nipype/pull/1048)
* ENH: Update ANTSCorticalThickness interface (https://github.com/nipy/nipype/pull/1013)
* FIX: Edge case with sparsemodels and PEP8 cleanup (https://github.com/nipy/nipype/pull/1046)
* ENH: New io interfaces for JSON files reading/writing (https://github.com/nipy/nipype/pull/1020)
Expand Down
2 changes: 1 addition & 1 deletion nipype/interfaces/spm/preprocess.py
Original file line number Diff line number Diff line change
Expand Up @@ -544,7 +544,7 @@ class Normalize12InputSpec(SPMCommandInputSpec):
desc='FWHM of Gaussian smoothness of bias')
tpm = File(exists=True, field='eoptions.tpm',
desc='template in form of tissue probablitiy maps to normalize to',
mandatory=False, xor=['deformation_file'],
xor=['deformation_file'],
copyfile=False)
affine_regularization_type = traits.Enum('mni', 'size', 'none',
field='eoptions.affreg',
Expand Down
1 change: 0 additions & 1 deletion nipype/interfaces/spm/tests/test_auto_Normalize12.py
Original file line number Diff line number Diff line change
Expand Up @@ -37,7 +37,6 @@ def test_Normalize12_inputs():
),
tpm=dict(copyfile=False,
field='eoptions.tpm',
mandatory=False,
xor=['deformation_file'],
),
use_mcr=dict(),
Expand Down