remove use_default from rescale_intensities

Author: salma1601

nipype/interfaces/ants/tests/test_auto_N4BiasFieldCorrection.py

@@ -4,30 +4,30 @@
 
 def test_N4BiasFieldCorrection_inputs():
     input_map = dict(
-        args=dict(argstr="%s",),
-        bias_image=dict(extensions=None, hash_files=False,),
-        bspline_fitting_distance=dict(argstr="--bspline-fitting %s",),
-        bspline_order=dict(requires=["bspline_fitting_distance"],),
-        convergence_threshold=dict(requires=["n_iterations"],),
-        copy_header=dict(mandatory=True, usedefault=True,),
-        dimension=dict(argstr="-d %d", usedefault=True,),
-        environ=dict(nohash=True, usedefault=True,),
-        histogram_sharpening=dict(argstr="--histogram-sharpening [%g,%g,%d]",),
-        input_image=dict(argstr="--input-image %s", extensions=None, mandatory=True,),
-        mask_image=dict(argstr="--mask-image %s", extensions=None,),
-        n_iterations=dict(argstr="--convergence %s",),
-        num_threads=dict(nohash=True, usedefault=True,),
+        args=dict(argstr="%s"),
+        bias_image=dict(extensions=None, hash_files=False),
+        bspline_fitting_distance=dict(argstr="--bspline-fitting %s"),
+        bspline_order=dict(requires=["bspline_fitting_distance"]),
+        convergence_threshold=dict(requires=["n_iterations"]),
+        copy_header=dict(mandatory=True, usedefault=True),
+        dimension=dict(argstr="-d %d", usedefault=True),
+        environ=dict(nohash=True, usedefault=True),
+        histogram_sharpening=dict(argstr="--histogram-sharpening [%g,%g,%d]"),
+        input_image=dict(argstr="--input-image %s", extensions=None, mandatory=True),
+        mask_image=dict(argstr="--mask-image %s", extensions=None),
+        n_iterations=dict(argstr="--convergence %s"),
+        num_threads=dict(nohash=True, usedefault=True),
         output_image=dict(
             argstr="--output %s",
             hash_files=False,
             keep_extension=True,
             name_source=["input_image"],
             name_template="%s_corrected",
         ),
-        rescale_intensities=dict(argstr="-r", min_ver="2.1.0", usedefault=True,),
-        save_bias=dict(mandatory=True, usedefault=True, xor=["bias_image"],),
-        shrink_factor=dict(argstr="--shrink-factor %d",),
-        weight_image=dict(argstr="--weight-image %s", extensions=None,),
+        rescale_intensities=dict(argstr="-r", min_ver="2.1.0"),
+        save_bias=dict(mandatory=True, usedefault=True, xor=["bias_image"]),
+        shrink_factor=dict(argstr="--shrink-factor %d"),
+        weight_image=dict(argstr="--weight-image %s", extensions=None),
     )
     inputs = N4BiasFieldCorrection.input_spec()
 
@@ -38,7 +38,7 @@ def test_N4BiasFieldCorrection_inputs():
 
 def test_N4BiasFieldCorrection_outputs():
     output_map = dict(
-        bias_image=dict(extensions=None,), output_image=dict(extensions=None,),
+        bias_image=dict(extensions=None), output_image=dict(extensions=None)
     )
     outputs = N4BiasFieldCorrection.output_spec()