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Added tests
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‎nipype/interfaces/afni/tests/test_auto_Eval.py

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# AUTO-GENERATED by tools/checkspecs.py - DO NOT EDIT
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from nipype.testing import assert_equal
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from nipype.interfaces.afni.preprocess import Eval
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def test_Eval_inputs():
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input_map = dict(args=dict(argstr='%s',
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),
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environ=dict(nohash=True,
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usedefault=True,
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),
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expr=dict(argstr='-expr "%s"',
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mandatory=True,
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position=3,
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),
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ignore_exception=dict(nohash=True,
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usedefault=True,
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),
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in_file_a=dict(argstr='-a %s',
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mandatory=True,
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position=0,
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),
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in_file_b=dict(argstr=' -b %s',
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position=1,
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),
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in_file_c=dict(argstr=' -c %s',
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position=2,
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),
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other=dict(argstr='',
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),
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out1D=dict(argstr='-1D',
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),
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out_file=dict(argstr='-prefix %s',
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name_source='in_file_a',
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name_template='%s_calc',
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),
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outputtype=dict(),
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single_idx=dict(),
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start_idx=dict(requires=['stop_idx'],
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),
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stop_idx=dict(requires=['start_idx'],
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),
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terminal_output=dict(mandatory=True,
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nohash=True,
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),
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)
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inputs = Eval.input_spec()
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for key, metadata in input_map.items():
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for metakey, value in metadata.items():
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yield assert_equal, getattr(inputs.traits()[key], metakey), value
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def test_Eval_outputs():
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output_map = dict(out_file=dict(),
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)
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outputs = Eval.output_spec()
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for key, metadata in output_map.items():
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for metakey, value in metadata.items():
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yield assert_equal, getattr(outputs.traits()[key], metakey), value
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‎nipype/interfaces/afni/tests/test_auto_Means.py

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# AUTO-GENERATED by tools/checkspecs.py - DO NOT EDIT
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from nipype.testing import assert_equal
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from nipype.interfaces.afni.preprocess import Means
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def test_Means_inputs():
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input_map = dict(args=dict(argstr='%s',
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),
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count=dict(argstr='-count',
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),
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environ=dict(nohash=True,
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usedefault=True,
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),
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ignore_exception=dict(nohash=True,
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usedefault=True,
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),
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in_file_a=dict(argstr='%s',
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mandatory=True,
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position=0,
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),
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in_file_b=dict(argstr='%s',
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position=1,
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),
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mask_inter=dict(argstr='-mask_inter',
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),
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mask_union=dict(argstr='-mask_union',
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),
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non_zero=dict(argstr='-non_zero',
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),
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out_file=dict(argstr='-prefix %s',
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name_source='in_file_a',
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name_template='%s_mean',
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),
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outputtype=dict(),
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scale=dict(argstr='-%sscale',
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),
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sqr=dict(argstr='-sqr',
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),
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std_dev=dict(argstr='-stdev',
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),
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summ=dict(argstr='-sum',
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),
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terminal_output=dict(mandatory=True,
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nohash=True,
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),
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)
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inputs = Means.input_spec()
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for key, metadata in input_map.items():
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for metakey, value in metadata.items():
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yield assert_equal, getattr(inputs.traits()[key], metakey), value
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def test_Means_outputs():
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output_map = dict(out_file=dict(),
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)
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outputs = Means.output_spec()
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for key, metadata in output_map.items():
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for metakey, value in metadata.items():
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yield assert_equal, getattr(outputs.traits()[key], metakey), value
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‎nipype/interfaces/afni/tests/test_auto_SVMTest.py

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# AUTO-GENERATED by tools/checkspecs.py - DO NOT EDIT
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from nipype.testing import assert_equal
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from nipype.interfaces.afni.svm import SVMTest
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def test_SVMTest_inputs():
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input_map = dict(args=dict(argstr='%s',
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),
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classout=dict(argstr='-classout',
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),
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environ=dict(nohash=True,
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usedefault=True,
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),
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ignore_exception=dict(nohash=True,
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usedefault=True,
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),
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in_file=dict(argstr='-testvol %s',
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mandatory=True,
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),
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model=dict(argstr='-model %s',
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exists=True,
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mandatory=True,
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),
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multiclass=dict(argstr='-multiclass %s',
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),
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nodetrend=dict(argstr='-nodetrend',
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),
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nopredcensord=dict(argstr='-nopredcensord',
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),
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options=dict(argstr='%s',
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),
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out_file=dict(argstr='-predictions %s',
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name_template='%s_predictions',
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),
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outputtype=dict(),
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terminal_output=dict(mandatory=True,
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nohash=True,
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),
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testlabels=dict(argstr='-testlabels %s',
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),
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)
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inputs = SVMTest.input_spec()
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for key, metadata in input_map.items():
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for metakey, value in metadata.items():
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yield assert_equal, getattr(inputs.traits()[key], metakey), value
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def test_SVMTest_outputs():
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output_map = dict(out_file=dict(),
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)
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outputs = SVMTest.output_spec()
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for key, metadata in output_map.items():
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for metakey, value in metadata.items():
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yield assert_equal, getattr(outputs.traits()[key], metakey), value
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‎nipype/interfaces/afni/tests/test_auto_SVMTrain.py

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# AUTO-GENERATED by tools/checkspecs.py - DO NOT EDIT
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from nipype.testing import assert_equal
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from nipype.interfaces.afni.svm import SVMTrain
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def test_SVMTrain_inputs():
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input_map = dict(alphas=dict(argstr='-alpha %s',
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name_source='in_file',
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name_template='%s_alphas',
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suffix='_alphas',
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),
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args=dict(argstr='%s',
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),
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censor=dict(argstr='-censor %s',
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),
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environ=dict(nohash=True,
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usedefault=True,
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),
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ignore_exception=dict(nohash=True,
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usedefault=True,
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),
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in_file=dict(argstr='-trainvol %s',
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copyfile=False,
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mandatory=True,
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),
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kernel=dict(argstr='-kernel %s',
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),
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mask=dict(argstr='-mask %s',
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copyfile=False,
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position=-1,
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),
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max_iterations=dict(argstr='-max_iterations %d',
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),
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model=dict(argstr='-model %s',
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name_source='in_file',
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name_template='%s_model',
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suffix='_model',
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),
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nomodelmask=dict(argstr='-nomodelmask',
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),
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options=dict(argstr='%s',
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),
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out_file=dict(argstr='-bucket %s',
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name_source='in_file',
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name_template='%s_vectors',
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suffix='_bucket',
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),
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outputtype=dict(),
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terminal_output=dict(mandatory=True,
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nohash=True,
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),
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trainlabels=dict(argstr='-trainlabels %s',
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),
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ttype=dict(argstr='-type %s',
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mandatory=True,
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),
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w_out=dict(argstr='-wout',
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),
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)
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inputs = SVMTrain.input_spec()
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for key, metadata in input_map.items():
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for metakey, value in metadata.items():
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yield assert_equal, getattr(inputs.traits()[key], metakey), value
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def test_SVMTrain_outputs():
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output_map = dict(alphas=dict(),
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model=dict(),
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out_file=dict(),
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)
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outputs = SVMTrain.output_spec()
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for key, metadata in output_map.items():
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for metakey, value in metadata.items():
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yield assert_equal, getattr(outputs.traits()[key], metakey), value
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‎nipype/interfaces/afni/tests/test_auto_TCat.py

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@@ -17,7 +17,7 @@ def test_TCat_inputs():
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position=-1,
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),
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out_file=dict(argstr='-prefix %s',
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name_source='in_file',
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name_source='in_files',
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name_template='%s_tcat',
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),
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outputtype=dict(),

‎nipype/interfaces/afni/tests/test_auto_Volreg.py

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name_source='in_file',
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name_template='%s.1D',
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),
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oned_matrix_save=dict(argstr='-1Dmatrix_save %s',
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keep_extension=True,
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name_source='in_file',
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name_template='%s.aff12.1D',
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),
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out_file=dict(argstr='-prefix %s',
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name_source='in_file',
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name_template='%s_volreg',
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def test_Volreg_outputs():
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output_map = dict(md1d_file=dict(),
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oned_file=dict(),
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oned_matrix_save=dict(),
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out_file=dict(),
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)
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outputs = Volreg.output_spec()

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