# AUTO-GENERATED by tools/checkspecs.py - DO NOT EDIT
from ..tensors import ConstrainedSphericalDeconvolution


def test_ConstrainedSphericalDeconvolution_inputs():
    input_map = dict(
        args=dict(
            argstr="%s",
        ),
        debug=dict(
            argstr="-debug",
        ),
        directions_file=dict(
            argstr="-directions %s",
            extensions=None,
            position=-2,
        ),
        encoding_file=dict(
            argstr="-grad %s",
            extensions=None,
            position=1,
        ),
        environ=dict(
            nohash=True,
            usedefault=True,
        ),
        filter_file=dict(
            argstr="-filter %s",
            extensions=None,
            position=-2,
        ),
        in_file=dict(
            argstr="%s",
            extensions=None,
            mandatory=True,
            position=-3,
        ),
        iterations=dict(
            argstr="-niter %s",
        ),
        lambda_value=dict(
            argstr="-lambda %s",
        ),
        mask_image=dict(
            argstr="-mask %s",
            extensions=None,
            position=2,
        ),
        maximum_harmonic_order=dict(
            argstr="-lmax %s",
        ),
        normalise=dict(
            argstr="-normalise",
            position=3,
        ),
        out_filename=dict(
            argstr="%s",
            extensions=None,
            genfile=True,
            position=-1,
        ),
        response_file=dict(
            argstr="%s",
            extensions=None,
            mandatory=True,
            position=-2,
        ),
        threshold_value=dict(
            argstr="-threshold %s",
        ),
    )
    inputs = ConstrainedSphericalDeconvolution.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_ConstrainedSphericalDeconvolution_outputs():
    output_map = dict(
        spherical_harmonics_image=dict(
            extensions=None,
        ),
    )
    outputs = ConstrainedSphericalDeconvolution.output_spec()

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