# AUTO-GENERATED by tools/checkspecs.py - DO NOT EDIT
from nipype.testing import assert_equal
from nipype.interfaces.afni.svm import SVMTrain

def test_SVMTrain_inputs():
    input_map = dict(alphas=dict(argstr='-alpha %s',
    name_source='in_file',
    name_template='%s_alphas',
    suffix='_alphas',
    ),
    args=dict(argstr='%s',
    ),
    censor=dict(argstr='-censor %s',
    ),
    environ=dict(nohash=True,
    usedefault=True,
    ),
    ignore_exception=dict(nohash=True,
    usedefault=True,
    ),
    in_file=dict(argstr='-trainvol %s',
    copyfile=False,
    mandatory=True,
    ),
    kernel=dict(argstr='-kernel %s',
    ),
    mask=dict(argstr='-mask %s',
    copyfile=False,
    position=-1,
    ),
    max_iterations=dict(argstr='-max_iterations %d',
    ),
    model=dict(argstr='-model %s',
    name_source='in_file',
    name_template='%s_model',
    suffix='_model',
    ),
    nomodelmask=dict(argstr='-nomodelmask',
    ),
    options=dict(argstr='%s',
    ),
    out_file=dict(argstr='-bucket %s',
    name_source='in_file',
    name_template='%s_vectors',
    suffix='_bucket',
    ),
    outputtype=dict(),
    terminal_output=dict(mandatory=True,
    nohash=True,
    ),
    trainlabels=dict(argstr='-trainlabels %s',
    ),
    ttype=dict(argstr='-type %s',
    mandatory=True,
    ),
    w_out=dict(argstr='-wout',
    ),
    )
    inputs = SVMTrain.input_spec()

    for key, metadata in input_map.items():
        for metakey, value in metadata.items():
            yield assert_equal, getattr(inputs.traits()[key], metakey), value

def test_SVMTrain_outputs():
    output_map = dict(alphas=dict(),
    model=dict(),
    out_file=dict(),
    )
    outputs = SVMTrain.output_spec()

    for key, metadata in output_map.items():
        for metakey, value in metadata.items():
            yield assert_equal, getattr(outputs.traits()[key], metakey), value

