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