# AUTO-GENERATED by tools/checkspecs.py - DO NOT EDIT
from __future__ import unicode_literals
from ..segmentation import KellyKapowski


def test_KellyKapowski_inputs():
    input_map = dict(args=dict(argstr='%s',
    ),
    convergence=dict(argstr='--convergence "%s"',
    usedefault=True,
    ),
    cortical_thickness=dict(argstr='--output "%s"',
    hash_files=False,
    keep_extension=True,
    name_source=['segmentation_image'],
    name_template='%s_cortical_thickness',
    ),
    dimension=dict(argstr='--image-dimensionality %d',
    usedefault=True,
    ),
    environ=dict(nohash=True,
    usedefault=True,
    ),
    gradient_step=dict(argstr='--gradient-step %f',
    usedefault=True,
    ),
    gray_matter_label=dict(usedefault=True,
    ),
    gray_matter_prob_image=dict(argstr='--gray-matter-probability-image "%s"',
    ),
    ignore_exception=dict(nohash=True,
    usedefault=True,
    ),
    max_invert_displacement_field_iters=dict(argstr='--maximum-number-of-invert-displacement-field-iterations %d',
    ),
    num_threads=dict(nohash=True,
    usedefault=True,
    ),
    number_integration_points=dict(argstr='--number-of-integration-points %d',
    ),
    segmentation_image=dict(argstr='--segmentation-image "%s"',
    mandatory=True,
    ),
    smoothing_variance=dict(argstr='--smoothing-variance %f',
    ),
    smoothing_velocity_field=dict(argstr='--smoothing-velocity-field-parameter %f',
    ),
    terminal_output=dict(nohash=True,
    ),
    thickness_prior_estimate=dict(argstr='--thickness-prior-estimate %f',
    usedefault=True,
    ),
    thickness_prior_image=dict(argstr='--thickness-prior-image "%s"',
    ),
    use_bspline_smoothing=dict(argstr='--use-bspline-smoothing 1',
    ),
    warped_white_matter=dict(hash_files=False,
    keep_extension=True,
    name_source=['segmentation_image'],
    name_template='%s_warped_white_matter',
    ),
    white_matter_label=dict(usedefault=True,
    ),
    white_matter_prob_image=dict(argstr='--white-matter-probability-image "%s"',
    ),
    )
    inputs = KellyKapowski.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_KellyKapowski_outputs():
    output_map = dict(cortical_thickness=dict(),
    warped_white_matter=dict(),
    )
    outputs = KellyKapowski.output_spec()

    for key, metadata in list(output_map.items()):
        for metakey, value in list(metadata.items()):
            assert getattr(outputs.traits()[key], metakey) == value

# AUTO-GENERATED by tools/checkspecs.py - DO NOT EDIT
from __future__ import unicode_literals
from ..segmentation import KellyKapowski


def test_KellyKapowski_inputs():
    input_map = dict(args=dict(argstr='%s',
    ),
    convergence=dict(argstr='--convergence "%s"',
    usedefault=True,
    ),
    cortical_thickness=dict(argstr='--output "%s"',
    hash_files=False,
    keep_extension=True,
    name_source=['segmentation_image'],
    name_template='%s_cortical_thickness',
    ),
    dimension=dict(argstr='--image-dimensionality %d',
    usedefault=True,
    ),
    environ=dict(nohash=True,
    usedefault=True,
    ),
    gradient_step=dict(argstr='--gradient-step %f',
    usedefault=True,
    ),
    gray_matter_label=dict(usedefault=True,
    ),
    gray_matter_prob_image=dict(argstr='--gray-matter-probability-image "%s"',
    ),
    ignore_exception=dict(nohash=True,
    usedefault=True,
    ),
    max_invert_displacement_field_iters=dict(argstr='--maximum-number-of-invert-displacement-field-iterations %d',
    ),
    num_threads=dict(nohash=True,
    usedefault=True,
    ),
    number_integration_points=dict(argstr='--number-of-integration-points %d',
    ),
    segmentation_image=dict(argstr='--segmentation-image "%s"',
    mandatory=True,
    ),
    smoothing_variance=dict(argstr='--smoothing-variance %f',
    ),
    smoothing_velocity_field=dict(argstr='--smoothing-velocity-field-parameter %f',
    ),
    terminal_output=dict(nohash=True,
    ),
    thickness_prior_estimate=dict(argstr='--thickness-prior-estimate %f',
    usedefault=True,
    ),
    thickness_prior_image=dict(argstr='--thickness-prior-image "%s"',
    ),
    use_bspline_smoothing=dict(argstr='--use-bspline-smoothing 1',
    ),
    warped_white_matter=dict(hash_files=False,
    keep_extension=True,
    name_source=['segmentation_image'],
    name_template='%s_warped_white_matter',
    ),
    white_matter_label=dict(usedefault=True,
    ),
    white_matter_prob_image=dict(argstr='--white-matter-probability-image "%s"',
    ),
    )
    inputs = KellyKapowski.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_KellyKapowski_outputs():
    output_map = dict(cortical_thickness=dict(),
    warped_white_matter=dict(),
    )
    outputs = KellyKapowski.output_spec()

    for key, metadata in list(output_map.items()):
        for metakey, value in list(metadata.items()):
            assert getattr(outputs.traits()[key], metakey) == value

# AUTO-GENERATED by tools/checkspecs.py - DO NOT EDIT