quiet clfrac and t2_up parameters

Author: salma1601

nipype/interfaces/afni/tests/test_auto_Unifize.py

@@ -6,6 +6,8 @@
 def test_Unifize_inputs():
     input_map = dict(args=dict(argstr='%s',
     ),
+    cl_frac=dict(argstr='-clfrac %f',
+    ),
     environ=dict(nohash=True,
     usedefault=True,
     ),
@@ -33,12 +35,16 @@ def test_Unifize_inputs():
     name_source='in_file',
     ),
     outputtype=dict(),
+    quiet=dict(argstr='-quiet',
+    ),
     rbt=dict(argstr='-rbt %f %f %f',
     ),
     scale_file=dict(argstr='-ssave %s',
     ),
     t2=dict(argstr='-T2',
     ),
+    t2_up=dict(argstr='-T2up %f',
+    ),
     terminal_output=dict(deprecated='1.0.0',
     nohash=True,
     ),

nipype/interfaces/afni/utils.py

@@ -2337,6 +2337,22 @@ class UnifizeInputSpec(AFNICommandInputSpec):
              'b = bottom percentile of normalizing data range, [default=70.0]\n'
              'r = top percentile of normalizing data range, [default=80.0]\n',
         argstr='-rbt %f %f %f')
+    t2_up = traits.Float(
+        desc='Option for AFNI experts only.'
+             'Set the upper percentile point used for T2-T1 inversion. '
+             'Allowed to be anything between 90 and 100 (inclusive), with '
+             'default to 98.5  (for no good reason).',
+        argstr='-T2up %f')
+    cl_frac = traits.Float(
+        desc='Option for AFNI experts only.'
+             'Set the automask \'clip level fraction\'. Must be between '
+             '0.1 and 0.9. A small fraction means to make the initial '
+             'threshold for clipping (a la 3dClipLevel) smaller, which '
+             'will tend to make the mask larger.  [default=0.1]',
+        argstr='-clfrac %f')
+    quiet = traits.Bool(
+        desc='Don\'t print the progress messages.',
+        argstr='-quiet')
 
 
 class UnifizeOutputSpec(TraitedSpec):