Drop unused code.

nipreps · Aug 7, 2024 · 907b740 · 907b740
1 parent e9e75d6
commit 907b740
Showing 1 changed file with 0 additions and 80 deletions.
diff --git a/src/fmripost_aroma/workflows/base.py b/src/fmripost_aroma/workflows/base.py
@@ -288,9 +288,7 @@ def init_single_run_wf(bold_file):
     """Set up a single-run workflow for fMRIPost-AROMA."""
     from nipype.interfaces import utility as niu
     from niworkflows.engine.workflows import LiterateWorkflow as Workflow
-    from niworkflows.interfaces.utility import KeySelect
     from niworkflows.utils.spaces import Reference
-    from smriprep.workflows.outputs import init_template_iterator_wf
 
     from fmripost_aroma.utils.bids import collect_derivatives, extract_entities
     from fmripost_aroma.workflows.aroma import init_denoise_wf, init_ica_aroma_wf
@@ -417,84 +415,6 @@ def init_single_run_wf(bold_file):
             ]),
         ])  # fmt:skip
 
-    # Skip this for now
-    if config.workflow.denoise_method and spaces.get_spaces() and False:
-        templates = spaces.get_spaces()
-        template_iterator_wf = init_template_iterator_wf(
-            spaces=spaces,
-            sloppy=config.execution.sloppy,
-        )
-        template_iterator_wf.inputs.inputnode.anat2std_xfm = functional_cache[
-            'anat2outputspaces_xfm'
-        ]
-        template_iterator_wf.inputs.inputnode.template = templates
-
-        # Now denoise the output-space BOLD data using ICA-AROMA
-        denoise_std_wf = init_denoise_wf(bold_file=bold_file)
-        denoise_std_wf.inputs.inputnode.skip_vols = skip_vols
-
-        workflow.connect([
-            (ica_aroma_wf, denoise_std_wf, [
-                ('outputnode.mixing', 'inputnode.mixing'),
-                ('outputnode.aroma_features', 'inputnode.classifications'),
-            ]),
-            (template_iterator_wf, denoise_std_wf, [
-                ('outputnode.space', 'inputnode.space'),
-                ('outputnode.cohort', 'inputnode.cohort'),
-                ('outputnode.res', 'inputnode.res'),
-            ]),
-        ])  # fmt:skip
-
-        if functional_cache['bold_outputspaces']:
-            # No transforms necessary
-            std_buffer = pe.Node(
-                KeySelect(
-                    fields=['bold', 'bold_mask'],
-                    keys=[str(space) for space in spaces.references],
-                ),
-                name='std_buffer',
-            )
-            std_buffer.inputs.bold = functional_cache['bold_outputspaces']
-            std_buffer.inputs.bold_mask = functional_cache['bold_mask_outputspaces']
-            workflow.connect([
-                (template_iterator_wf, std_buffer, [('outputnode.space', 'key')]),
-                (std_buffer, denoise_std_wf, [
-                    ('bold', 'inputnode.bold_file'),
-                    ('bold_mask', 'inputnode.bold_mask'),
-                ]),
-            ])  # fmt:skip
-        else:
-            # Warp native BOLD to requested output spaces
-            xfms = [
-                functional_cache['hmc'],
-                functional_cache['boldref2fmap'],
-                functional_cache['bold2anat'],
-            ]
-            all_xfms = pe.Node(niu.Merge(2), name='all_xfms')
-            all_xfms.inputs.in1 = xfms
-            workflow.connect([
-                (template_iterator_wf, all_xfms, [('outputnode.anat2std_xfm', 'in2')]),
-            ])  # fmt:skip
-
-            resample_std_wf = init_resample_volumetric_wf(
-                bold_file=bold_file,
-                functional_cache=functional_cache,
-                run_stc=False,
-                name=_get_wf_name(bold_file, 'resample_std'),
-            )
-            workflow.connect([
-                (template_iterator_wf, resample_std_wf, [
-                    ('outputnode.space', 'inputnode.space'),
-                    ('outputnode.res', 'inputnode.res'),
-                    ('outputnode.cohort', 'inputnode.cohort'),
-                ]),
-                (all_xfms, resample_std_wf, [('out', 'inputnode.transforms')]),
-                (resample_std_wf, denoise_std_wf, [
-                    ('outputnode.bold_std', 'inputnode.bold'),
-                    ('outputnode.bold_mask_std', 'inputnode.bold_mask'),
-                ]),
-            ])  # fmt:skip
-
     return workflow