chore(specs): update

Author: oesteban

nipype/interfaces/ants/tests/test_auto_AI.py

@@ -4,70 +4,22 @@
 
 def test_AI_inputs():
     input_map = dict(
-        args=dict(
-            argstr="%s",
-        ),
-        convergence=dict(
-            argstr="-c [%d,%g,%d]",
-            usedefault=True,
-        ),
-        dimension=dict(
-            argstr="-d %d",
-            usedefault=True,
-        ),
-        environ=dict(
-            nohash=True,
-            usedefault=True,
-        ),
-        fixed_image=dict(
-            extensions=None,
-            mandatory=True,
-        ),
-        fixed_image_mask=dict(
-            argstr="-x %s",
-            extensions=None,
-        ),
-        metric=dict(
-            argstr="-m %s",
-            mandatory=True,
-        ),
-        moving_image=dict(
-            extensions=None,
-            mandatory=True,
-        ),
-        moving_image_mask=dict(
-            extensions=None,
-            requires=["fixed_image_mask"],
-        ),
-        num_threads=dict(
-            nohash=True,
-            usedefault=True,
-        ),
-        output_transform=dict(
-            argstr="-o %s",
-            extensions=None,
-            usedefault=True,
-        ),
-        principal_axes=dict(
-            argstr="-p %d",
-            usedefault=True,
-            xor=["blobs"],
-        ),
-        search_factor=dict(
-            argstr="-s [%g,%g]",
-            usedefault=True,
-        ),
-        search_grid=dict(
-            argstr="-g %s",
-        ),
-        transform=dict(
-            argstr="-t %s[%g]",
-            usedefault=True,
-        ),
-        verbose=dict(
-            argstr="-v %d",
-            usedefault=True,
-        ),
+        args=dict(argstr="%s",),
+        convergence=dict(argstr="-c [%d,%g,%d]", usedefault=True,),
+        dimension=dict(argstr="-d %d", usedefault=True,),
+        environ=dict(nohash=True, usedefault=True,),
+        fixed_image=dict(extensions=None, mandatory=True,),
+        fixed_image_mask=dict(argstr="-x %s", extensions=None,),
+        metric=dict(argstr="-m %s", mandatory=True,),
+        moving_image=dict(extensions=None, mandatory=True,),
+        moving_image_mask=dict(extensions=None, requires=["fixed_image_mask"],),
+        num_threads=dict(nohash=True, usedefault=True,),
+        output_transform=dict(argstr="-o %s", extensions=None, usedefault=True,),
+        principal_axes=dict(argstr="-p %d", usedefault=True, xor=["blobs"],),
+        search_factor=dict(argstr="-s [%g,%g]", usedefault=True,),
+        search_grid=dict(argstr="-g %s", min_ver="2.3.0",),
+        transform=dict(argstr="-t %s[%g]", usedefault=True,),
+        verbose=dict(argstr="-v %d", usedefault=True,),
     )
     inputs = AI.input_spec()
 
@@ -77,11 +29,7 @@ def test_AI_inputs():
 
 
 def test_AI_outputs():
-    output_map = dict(
-        output_transform=dict(
-            extensions=None,
-        ),
-    )
+    output_map = dict(output_transform=dict(extensions=None,),)
     outputs = AI.output_spec()
 
     for key, metadata in list(output_map.items()):