TEST: make specs

Author: effigies

nipype/interfaces/afni/tests/test_auto_TShift.py

@@ -30,6 +30,7 @@ def test_TShift_inputs():
         outputtype=dict(),
         rlt=dict(argstr='-rlt', ),
         rltplus=dict(argstr='-rlt+', ),
+        slice_encoding_direction=dict(usedefault=True, ),
         slice_timing=dict(
             argstr='-tpattern @%s',
             xor=['tpattern'],

nipype/interfaces/ants/tests/test_auto_AntsJointFusion.py

@@ -52,8 +52,8 @@ def test_AntsJointFusion_inputs():
             hash_files=False,
         ),
         out_label_post_prob_name_format=dict(
-            requires=['out_label_fusion', 'out_intensity_fusion_name_format'],
-        ),
+            requires=['out_label_fusion',
+                      'out_intensity_fusion_name_format'], ),
         patch_metric=dict(argstr='-m %s', ),
         patch_radius=dict(
             argstr='-p %s',

nipype/interfaces/dipy/tests/test_auto_DTI.py

@@ -20,6 +20,7 @@ def test_DTI_inputs():
 def test_DTI_outputs():
     output_map = dict(
         ad_file=dict(),
+        color_fa_file=dict(),
         fa_file=dict(),
         md_file=dict(),
         out_file=dict(),

nipype/interfaces/fsl/tests/test_auto_DTIFit.py

@@ -65,8 +65,8 @@ def test_DTIFit_outputs():
         V1=dict(),
         V2=dict(),
         V3=dict(),
-        tensor=dict(),
         sse=dict(),
+        tensor=dict(),
     )
     outputs = DTIFit.output_spec()
 

nipype/interfaces/spm/tests/test_auto_RealignUnwarp.py

@@ -0,0 +1,85 @@
+# AUTO-GENERATED by tools/checkspecs.py - DO NOT EDIT
+from __future__ import unicode_literals
+from ..preprocess import RealignUnwarp
+
+
+def test_RealignUnwarp_inputs():
+    input_map = dict(
+        est_basis_func=dict(field='uweoptions.basfcn', ),
+        est_first_order_effects=dict(field='uweoptions.fot', ),
+        est_jacobian_deformations=dict(field='uweoptions.jm', ),
+        est_num_of_interations=dict(
+            field='uweoptions.noi',
+            maxlen=1,
+            minlen=1,
+            usedfault=True,
+        ),
+        est_re_est_mov_par=dict(field='uweoptions.rem', ),
+        est_reg_factor=dict(
+            field='uweoptions.lambda',
+            maxlen=1,
+            minlen=1,
+            usedefault=True,
+        ),
+        est_reg_order=dict(field='uweoptions.regorder', ),
+        est_second_order_effects=dict(field='uweoptions.sot', ),
+        est_taylor_expansion_point=dict(
+            field='uweoptions.expround',
+            usedefault=True,
+        ),
+        est_unwarp_fwhm=dict(field='uweoptions.uwfwhm', ),
+        fwhm=dict(field='eoptions.fwhm', ),
+        in_files=dict(
+            copyfile=True,
+            field='data.scans',
+            mandatory=True,
+        ),
+        interp=dict(field='eoptions.einterp', ),
+        matlab_cmd=dict(),
+        mfile=dict(usedefault=True, ),
+        out_prefix=dict(
+            field='uwroptions.prefix',
+            usedefault=True,
+        ),
+        paths=dict(),
+        phase_map=dict(
+            copyfile=False,
+            field='data.pmscan',
+        ),
+        quality=dict(field='eoptions.quality', ),
+        register_to_mean=dict(field='eoptions.rtm', ),
+        reslice_interp=dict(field='uwroptions.rinterp', ),
+        reslice_mask=dict(field='uwroptions.mask', ),
+        reslice_which=dict(
+            field='uwroptions.uwwhich',
+            maxlen=2,
+            minlen=2,
+            usedefault=True,
+        ),
+        reslice_wrap=dict(field='uwroptions.wrap', ),
+        separation=dict(field='eoptions.sep', ),
+        use_mcr=dict(),
+        use_v8struct=dict(
+            min_ver='8',
+            usedefault=True,
+        ),
+        weight_img=dict(field='eoptions.weight', ),
+        wrap=dict(field='eoptions.ewrap', ),
+    )
+    inputs = RealignUnwarp.input_spec()
+
+    for key, metadata in list(input_map.items()):
+        for metakey, value in list(metadata.items()):
+            assert getattr(inputs.traits()[key], metakey) == value
+def test_RealignUnwarp_outputs():
+    output_map = dict(
+        mean_image=dict(),
+        modified_in_files=dict(),
+        realigned_unwarped_files=dict(),
+        realignment_parameters=dict(),
+    )
+    outputs = RealignUnwarp.output_spec()
+
+    for key, metadata in list(output_map.items()):
+        for metakey, value in list(metadata.items()):
+            assert getattr(outputs.traits()[key], metakey) == value