make specs

Author: effigies

nipype/interfaces/ants/tests/test_auto_GenWarpFields.py

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+# AUTO-GENERATED by tools/checkspecs.py - DO NOT EDIT
+from ..legacy import GenWarpFields
+
+
+def test_GenWarpFields_inputs():
+    input_map = dict(
+        args=dict(argstr="%s",),
+        bias_field_correction=dict(argstr="-n 1",),
+        dimension=dict(argstr="-d %d", position=1, usedefault=True,),
+        environ=dict(nohash=True, usedefault=True,),
+        force_proceed=dict(argstr="-f 1",),
+        input_image=dict(
+            argstr="-i %s", copyfile=False, extensions=None, mandatory=True,
+        ),
+        inverse_warp_template_labels=dict(argstr="-l",),
+        max_iterations=dict(argstr="-m %s", sep="x",),
+        num_threads=dict(nohash=True, usedefault=True,),
+        out_prefix=dict(argstr="-o %s", usedefault=True,),
+        quality_check=dict(argstr="-q 1",),
+        reference_image=dict(
+            argstr="-r %s", copyfile=True, extensions=None, mandatory=True,
+        ),
+        similarity_metric=dict(argstr="-s %s",),
+        transformation_model=dict(argstr="-t %s", usedefault=True,),
+    )
+    inputs = GenWarpFields.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_GenWarpFields_outputs():
+    output_map = dict(
+        affine_transformation=dict(extensions=None,),
+        input_file=dict(extensions=None,),
+        inverse_warp_field=dict(extensions=None,),
+        output_file=dict(extensions=None,),
+        warp_field=dict(extensions=None,),
+    )
+    outputs = GenWarpFields.output_spec()
+
+    for key, metadata in list(output_map.items()):
+        for metakey, value in list(metadata.items()):
+            assert getattr(outputs.traits()[key], metakey) == value

nipype/interfaces/ants/tests/test_auto_antsIntroduction.py

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+# AUTO-GENERATED by tools/checkspecs.py - DO NOT EDIT
+from ..legacy import antsIntroduction
+
+
+def test_antsIntroduction_inputs():
+    input_map = dict(
+        args=dict(argstr="%s",),
+        bias_field_correction=dict(argstr="-n 1",),
+        dimension=dict(argstr="-d %d", position=1, usedefault=True,),
+        environ=dict(nohash=True, usedefault=True,),
+        force_proceed=dict(argstr="-f 1",),
+        input_image=dict(
+            argstr="-i %s", copyfile=False, extensions=None, mandatory=True,
+        ),
+        inverse_warp_template_labels=dict(argstr="-l",),
+        max_iterations=dict(argstr="-m %s", sep="x",),
+        num_threads=dict(nohash=True, usedefault=True,),
+        out_prefix=dict(argstr="-o %s", usedefault=True,),
+        quality_check=dict(argstr="-q 1",),
+        reference_image=dict(
+            argstr="-r %s", copyfile=True, extensions=None, mandatory=True,
+        ),
+        similarity_metric=dict(argstr="-s %s",),
+        transformation_model=dict(argstr="-t %s", usedefault=True,),
+    )
+    inputs = antsIntroduction.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_antsIntroduction_outputs():
+    output_map = dict(
+        affine_transformation=dict(extensions=None,),
+        input_file=dict(extensions=None,),
+        inverse_warp_field=dict(extensions=None,),
+        output_file=dict(extensions=None,),
+        warp_field=dict(extensions=None,),
+    )
+    outputs = antsIntroduction.output_spec()
+
+    for key, metadata in list(output_map.items()):
+        for metakey, value in list(metadata.items()):
+            assert getattr(outputs.traits()[key], metakey) == value

nipype/interfaces/ants/tests/test_auto_buildtemplateparallel.py

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+# AUTO-GENERATED by tools/checkspecs.py - DO NOT EDIT
+from ..legacy import buildtemplateparallel
+
+
+def test_buildtemplateparallel_inputs():
+    input_map = dict(
+        args=dict(argstr="%s",),
+        bias_field_correction=dict(argstr="-n 1",),
+        dimension=dict(argstr="-d %d", position=1, usedefault=True,),
+        environ=dict(nohash=True, usedefault=True,),
+        gradient_step_size=dict(argstr="-g %f",),
+        in_files=dict(argstr="%s", mandatory=True, position=-1,),
+        iteration_limit=dict(argstr="-i %d", usedefault=True,),
+        max_iterations=dict(argstr="-m %s", sep="x",),
+        num_cores=dict(argstr="-j %d", requires=["parallelization"],),
+        num_threads=dict(nohash=True, usedefault=True,),
+        out_prefix=dict(argstr="-o %s", usedefault=True,),
+        parallelization=dict(argstr="-c %d", usedefault=True,),
+        rigid_body_registration=dict(argstr="-r 1",),
+        similarity_metric=dict(argstr="-s %s",),
+        transformation_model=dict(argstr="-t %s", usedefault=True,),
+        use_first_as_target=dict(),
+    )
+    inputs = buildtemplateparallel.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_buildtemplateparallel_outputs():
+    output_map = dict(
+        final_template_file=dict(extensions=None,),
+        subject_outfiles=dict(),
+        template_files=dict(),
+    )
+    outputs = buildtemplateparallel.output_spec()
+
+    for key, metadata in list(output_map.items()):
+        for metakey, value in list(metadata.items()):
+            assert getattr(outputs.traits()[key], metakey) == value