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FSL maths interface, add auto tests for new interfaces.
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‎nipype/interfaces/fsl/tests/test_auto_AR1Image.py

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# AUTO-GENERATED by tools/checkspecs.py - DO NOT EDIT
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from __future__ import unicode_literals
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from ..maths import AR1Image
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def test_AR1Image_inputs():
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input_map = dict(args=dict(argstr='%s',
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),
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dimension=dict(argstr='-%sar1',
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position=4,
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usedefault=True,
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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='%s',
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mandatory=True,
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position=2,
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),
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internal_datatype=dict(argstr='-dt %s',
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position=1,
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),
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nan2zeros=dict(argstr='-nan',
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position=3,
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),
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out_file=dict(argstr='%s',
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genfile=True,
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hash_files=False,
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position=-2,
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),
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output_datatype=dict(argstr='-odt %s',
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position=-1,
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),
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output_type=dict(),
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terminal_output=dict(nohash=True,
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),
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)
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inputs = AR1Image.input_spec()
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for key, metadata in list(input_map.items()):
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for metakey, value in list(metadata.items()):
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assert getattr(inputs.traits()[key], metakey) == value
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def test_AR1Image_outputs():
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output_map = dict(out_file=dict(),
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)
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outputs = AR1Image.output_spec()
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for key, metadata in list(output_map.items()):
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for metakey, value in list(metadata.items()):
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assert getattr(outputs.traits()[key], metakey) == value

‎nipype/interfaces/fsl/tests/test_auto_MaxnImage.py

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# AUTO-GENERATED by tools/checkspecs.py - DO NOT EDIT
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from __future__ import unicode_literals
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from ..maths import MaxnImage
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def test_MaxnImage_inputs():
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input_map = dict(args=dict(argstr='%s',
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),
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dimension=dict(argstr='-%smaxn',
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position=4,
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usedefault=True,
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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='%s',
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mandatory=True,
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position=2,
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),
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internal_datatype=dict(argstr='-dt %s',
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position=1,
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),
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nan2zeros=dict(argstr='-nan',
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position=3,
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),
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out_file=dict(argstr='%s',
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genfile=True,
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hash_files=False,
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position=-2,
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),
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output_datatype=dict(argstr='-odt %s',
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position=-1,
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),
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output_type=dict(),
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terminal_output=dict(nohash=True,
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),
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)
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inputs = MaxnImage.input_spec()
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for key, metadata in list(input_map.items()):
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for metakey, value in list(metadata.items()):
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assert getattr(inputs.traits()[key], metakey) == value
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def test_MaxnImage_outputs():
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output_map = dict(out_file=dict(),
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)
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outputs = MaxnImage.output_spec()
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for key, metadata in list(output_map.items()):
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for metakey, value in list(metadata.items()):
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assert getattr(outputs.traits()[key], metakey) == value

‎nipype/interfaces/fsl/tests/test_auto_MedianImage.py

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# AUTO-GENERATED by tools/checkspecs.py - DO NOT EDIT
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from __future__ import unicode_literals
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from ..maths import MedianImage
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def test_MedianImage_inputs():
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input_map = dict(args=dict(argstr='%s',
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),
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dimension=dict(argstr='-%smedian',
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position=4,
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usedefault=True,
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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='%s',
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mandatory=True,
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position=2,
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),
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internal_datatype=dict(argstr='-dt %s',
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position=1,
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),
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nan2zeros=dict(argstr='-nan',
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position=3,
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),
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out_file=dict(argstr='%s',
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genfile=True,
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hash_files=False,
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position=-2,
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),
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output_datatype=dict(argstr='-odt %s',
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position=-1,
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),
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output_type=dict(),
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terminal_output=dict(nohash=True,
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),
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)
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inputs = MedianImage.input_spec()
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for key, metadata in list(input_map.items()):
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for metakey, value in list(metadata.items()):
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assert getattr(inputs.traits()[key], metakey) == value
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def test_MedianImage_outputs():
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output_map = dict(out_file=dict(),
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)
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outputs = MedianImage.output_spec()
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for key, metadata in list(output_map.items()):
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for metakey, value in list(metadata.items()):
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assert getattr(outputs.traits()[key], metakey) == value

‎nipype/interfaces/fsl/tests/test_auto_MinImage.py

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# AUTO-GENERATED by tools/checkspecs.py - DO NOT EDIT
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from __future__ import unicode_literals
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from ..maths import MinImage
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def test_MinImage_inputs():
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input_map = dict(args=dict(argstr='%s',
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),
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dimension=dict(argstr='-%smin',
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position=4,
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usedefault=True,
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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='%s',
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mandatory=True,
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position=2,
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),
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internal_datatype=dict(argstr='-dt %s',
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position=1,
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),
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nan2zeros=dict(argstr='-nan',
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position=3,
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),
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out_file=dict(argstr='%s',
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genfile=True,
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hash_files=False,
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position=-2,
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),
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output_datatype=dict(argstr='-odt %s',
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position=-1,
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),
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output_type=dict(),
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terminal_output=dict(nohash=True,
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),
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)
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inputs = MinImage.input_spec()
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for key, metadata in list(input_map.items()):
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for metakey, value in list(metadata.items()):
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assert getattr(inputs.traits()[key], metakey) == value
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def test_MinImage_outputs():
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output_map = dict(out_file=dict(),
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)
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outputs = MinImage.output_spec()
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for key, metadata in list(output_map.items()):
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for metakey, value in list(metadata.items()):
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assert getattr(outputs.traits()[key], metakey) == value

‎nipype/interfaces/fsl/tests/test_auto_PercentileImage.py

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# AUTO-GENERATED by tools/checkspecs.py - DO NOT EDIT
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from __future__ import unicode_literals
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from ..maths import PercentileImage
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def test_PercentileImage_inputs():
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input_map = dict(args=dict(argstr='%s',
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),
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dimension=dict(argstr='-%sperc',
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position=4,
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usedefault=True,
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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='%s',
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mandatory=True,
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position=2,
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),
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internal_datatype=dict(argstr='-dt %s',
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position=1,
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),
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nan2zeros=dict(argstr='-nan',
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position=3,
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),
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out_file=dict(argstr='%s',
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genfile=True,
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hash_files=False,
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position=-2,
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),
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output_datatype=dict(argstr='-odt %s',
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position=-1,
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),
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output_type=dict(),
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perc=dict(argstr='%f',
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position=5,
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usedefault=False,
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),
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terminal_output=dict(nohash=True,
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),
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)
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inputs = PercentileImage.input_spec()
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for key, metadata in list(input_map.items()):
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for metakey, value in list(metadata.items()):
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assert getattr(inputs.traits()[key], metakey) == value
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def test_PercentileImage_outputs():
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output_map = dict(out_file=dict(),
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)
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outputs = PercentileImage.output_spec()
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for key, metadata in list(output_map.items()):
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for metakey, value in list(metadata.items()):
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assert getattr(outputs.traits()[key], metakey) == value

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