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daeh/fsl_first_level.ipynb

Created December 9, 2018 02:47
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Example scripts for nipype fmri analysis (first level fsl) following FMRIPREP preprocessing
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fsl_first_level.ipynb
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"/om2/user/daeda/software/anaconda3/envs/niconda/bin/python\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"/om2/user/daeda/software/anaconda3/envs/niconda/lib/python3.6/importlib/_bootstrap.py:219: RuntimeWarning: numpy.dtype size changed, may indicate binary incompatibility. Expected 96, got 88\n",
" return f(*args, **kwds)\n",
"/om2/user/daeda/software/anaconda3/envs/niconda/lib/python3.6/importlib/_bootstrap.py:219: RuntimeWarning: numpy.dtype size changed, may indicate binary incompatibility. Expected 96, got 88\n",
" return f(*args, **kwds)\n",
"Failed to import duecredit due to No module named 'duecredit'\n",
"/om2/user/daeda/software/anaconda3/envs/niconda/lib/python3.6/importlib/_bootstrap.py:219: RuntimeWarning: numpy.dtype size changed, may indicate binary incompatibility. Expected 96, got 88\n",
" return f(*args, **kwds)\n"
]
}
],
"source": [
"import sys\n",
"\n",
"print(sys.executable)\n",
"\n",
"from IPython.display import Image # Debug\n",
"\n",
"import os # system functions\n",
"from os.path import join as opj\n",
"\n",
"import numpy as np\n",
"import pandas as pd\n",
"\n",
"import glob\n",
"import json\n",
"\n",
"import nipype.interfaces.io as nio # Data i/o\n",
"import nipype.interfaces.fsl as fsl # fsl\n",
"from nipype.interfaces import utility as niu # Utilities\n",
"import nipype.pipeline.engine as pe # pypeline engine\n",
"import nipype.algorithms.modelgen as modelgen # model generation\n",
"import nipype.algorithms.rapidart as ra # artifact detection\n",
"\n",
"from bids.grabbids import BIDSLayout\n",
"\n",
"from nipype.workflows.fmri.fsl import (create_modelfit_workflow, create_fixed_effects_flow)\n",
"\n",
"from nipype import config\n",
"config.enable_debug_mode()"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"/gablab/p/ADHDER/data/adhder\n",
"001\n",
"[1, 2, 3, 4]\n"
]
}
],
"source": [
"# For testing (COMMENT)\n",
"project = 'adhder'\n",
"subject = '001'\n",
"task = 'emoregulate'\n",
"model = 'testmodel'\n",
"n_runs = 4\n",
"runs = list(range(1, n_runs+1))\n",
"f_contrasts = True\n",
"\n",
"# Location of project\n",
"# scratch_dir = os.environ['SCRATCH']\n",
"project_dir = '/gablab/p/ADHDER/data/adhder'\n",
"derivatives_dir = opj(project_dir, 'derivatives')\n",
"work_dir = opj(project_dir, 'work_analysis', 'l1_model', 'task-{}_model-{}_sub-{}'.format(task, model, subject))\n",
"if not os.path.exists(work_dir): os.makedirs(work_dir, exist_ok=True)\n",
"\n",
"# DEBUG\n",
"print(project_dir)\n",
"print(subject)\n",
"print(runs)"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"TR = 1.0\n",
"fwhm_thr = 5.0\n",
"hpcutoff = 128.0\n",
"film_thr = -1000.0 # This was a nightmare. Cf. https://github.com/nipy/nipype/issues/2532#issuecomment-380064103 \n",
"film_ms = int(5) # Susan mask size, not fwhm\n",
"\n",
"model_serial_correlations = False"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Model fitting workflow\n",
"\n",
"IdentityInterface: Iterate over subjects and runs"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
"inputnode = pe.Node(niu.IdentityInterface(fields=['project', 'subject_id', 'task', 'model', 'run'],\n",
" mandatory_inputs=True),\n",
" 'inputnode')\n",
"inputnode.iterables = [('run', runs)]\n",
"inputnode.inputs.project = project\n",
"inputnode.inputs.subject_id = subject\n",
"inputnode.inputs.task = task\n",
"inputnode.inputs.model = model"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
"# Templates for DataGrabber\n",
"func_template = 'derivatives/fmriprep/sub-%s/func/sub-%s_task-%s_*_run-%03d_space-MNI152NLin2009cAsym_desc-preproc_bold.nii.gz'\n",
"anat_template = 'derivatives/fmriprep/sub-%s/anat/sub-%s_space-MNI152NLin2009cAsym_desc-preproc_T1w.nii.gz'\n",
"mask_template = 'derivatives/fmriprep/sub-%s/func/sub-%s_task-%s_*_run-%03d_space-MNI152NLin2009cAsym_desc-brain_mask.nii.gz'\n",
"confounds_template = 'derivatives/fmriprep/sub-%s/func/sub-%s_task-%s_*_run-%03d_desc-confounds_regressors.tsv'\n",
"events_template = 'bids/sub-%s/func/sub-%s_task-%s_*_run-%03d_events.tsv'\n",
"# model_template = 'l1_model_specification/task-%s_model-%s/%s*run-%02d.json'"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [],
"source": [
"datasource = pe.Node(nio.DataGrabber(infields=['subject_id',\n",
" 'task',\n",
" 'model',\n",
" 'run'],\n",
" outfields=['struct',\n",
" 'func',\n",
" 'mask',\n",
" 'confounds_file',\n",
" 'events_file']),\n",
" 'datasource')\n",
"\n",
"datasource.inputs.base_directory = project_dir\n",
"datasource.inputs.template = '*'\n",
"datasource.inputs.sort_filelist = True\n",
"\n",
"datasource.inputs.field_template = dict(struct=anat_template,\n",
" func=func_template,\n",
" mask=mask_template,\n",
" confounds_file=confounds_template,\n",
" events_file=events_template)\n",
"datasource.inputs.template_args = dict(struct=[['subject_id', 'subject_id']],\n",
" func=[['subject_id', 'subject_id', 'task', 'run']],\n",
" mask=[['subject_id', 'subject_id', 'task', 'run']],\n",
" confounds_file=[['subject_id', 'subject_id', 'task', 'run']],\n",
" events_file=[['subject_id', 'subject_id', 'task', 'run']])"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [],
"source": [
"def generate_model_param(events_file, confounds_file):\n",
" import numpy as np\n",
" import pandas as pd\n",
" from nipype.interfaces.base import Bunch\n",
"\n",
" confounds = pd.read_csv(confounds_file, sep=\"\\t\", na_values=\"n/a\")\n",
"\n",
" regressors_packed=[\n",
" ('framewise_displacement', list(confounds.framewise_displacement.fillna(0))),\n",
" ('a_comp_cor_00', list(confounds.a_comp_cor_00)),\n",
" ('a_comp_cor_01', list(confounds.a_comp_cor_01)),\n",
" ('a_comp_cor_02', list(confounds.a_comp_cor_02)),\n",
" ('a_comp_cor_03', list(confounds.a_comp_cor_03)),\n",
" ('a_comp_cor_04', list(confounds.a_comp_cor_04)),\n",
" ('a_comp_cor_05', list(confounds.a_comp_cor_05)),\n",
" ]\n",
" regressor_names, regressors = zip(*regressors_packed)\n",
"\n",
"\n",
" events = pd.read_csv(events_file, sep=\"\\t\", na_values=\"n/a\")\n",
"\n",
" group = [\n",
" {'name': 'neutral', 'pattern': 'Attend_Neutral'},\n",
" {'name': 'negative', 'pattern': 'Attend_[OD|OT|SD|ST]'},\n",
" {'name': 'reappraise', 'pattern': 'Reapp_*'},\n",
" ]\n",
"\n",
" conditions = []\n",
" onsets = []\n",
" durations = []\n",
" for item in group:\n",
" conditions.append( item['name'] )\n",
" onsets.append( events.loc[events.trial_type.str.contains(item['pattern'], regex=True),'onset'].tolist() )\n",
" durations.append( events.loc[events.trial_type.str.contains(item['pattern'], regex=True),'duration'].tolist() )\n",
"\n",
" model_spec = [Bunch(\n",
" conditions=conditions,\n",
" onsets=onsets,\n",
" durations=durations,\n",
" amplitudes=None,\n",
" tmod=None,\n",
" pmod=None,\n",
" regressor_names=regressor_names,\n",
" regressors=regressors\n",
" )]\n",
" \n",
" reapp = ['Reappraisal','T', ['reappraise'],[1]]\n",
" neg = ['Negative','T', ['negative'],[1]]\n",
" neu = ['Neutral','T', ['neutral'],[1]]\n",
" reapp_vs_neg = [\"Reappraisal > Negative\",'T', ['reappraise', 'negative'],[1, -1]]\n",
" neg_vs_neu = [\"Negative > Neutral\",'T', ['negative', 'neutral'],[1, -1]]\n",
" all_compare = [\"All tests\", 'F', [reapp, neg, neu]]\n",
" contrasts=[reapp, neg, neu, reapp_vs_neg, neg_vs_neu]\n",
" \n",
" return model_spec, contrasts"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [],
"source": [
"model_param_gen = pe.Node(niu.Function(input_names=['events_file', 'confounds_file'],\n",
" output_names=['model_specification', 'contrasts'],\n",
" function=generate_model_param),\n",
" 'model_param_gen')"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [],
"source": [
"level1design = pe.Node(fsl.model.Level1Design(),\n",
" 'level1design')\n",
"level1design.inputs.bases = {'dgamma':{'derivs': True}}\n",
"level1design.inputs.model_serial_correlations = model_serial_correlations\n",
"level1design.inputs.interscan_interval = TR"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [],
"source": [
"modelspec = pe.Node(modelgen.SpecifyModel(time_repetition=TR, input_units='secs', high_pass_filter_cutoff=hpcutoff),\n",
" 'modelspec')"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [],
"source": [
"mask = pe.Node(fsl.maths.ApplyMask(),\n",
" 'mask')"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [],
"source": [
"feat_model_gen = pe.Node(fsl.model.FEATModel(),\n",
" name='feat_model_gen')"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [],
"source": [
"modelestimate = pe.Node(fsl.FILMGLS(mask_size=film_ms, threshold=film_thr), \n",
" name='modelestimate')\n",
"\n",
"modelestimate.inputs.autocorr_noestimate = not model_serial_correlations\n",
"if model_serial_correlations: modelestimate.inputs.smooth_autocorr=True"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [],
"source": [
"datasink = pe.Node(nio.DataSink(),\n",
" 'datasink')\n",
"datasink.inputs.base_directory = opj(derivatives_dir, 'first_level_analysis', subject)\n",
"datasink.inputs.substitutions = [('_run_', 'run-0')]\n",
"#datasink.inputs.parametrization = False"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"181130-02:26:03,256 nipype.workflow DEBUG:\n",
"\t adding multipath trait: in_files\n",
"181130-02:26:03,260 nipype.workflow DEBUG:\n",
"\t adding multipath trait: in_files\n",
"181130-02:26:03,263 nipype.workflow DEBUG:\n",
"\t adding multipath trait: cope_file\n",
"181130-02:26:03,266 nipype.workflow DEBUG:\n",
"\t adding multipath trait: var_cope_file\n",
"181130-02:26:03,278 nipype.workflow DEBUG:\n",
"\t (fixedfx.inputspec, fixedfx.copemerge): No edge data\n",
"181130-02:26:03,279 nipype.workflow DEBUG:\n",
"\t (fixedfx.inputspec, fixedfx.copemerge): new edge data: {'connect': [('copes', 'in_files')]}\n",
"181130-02:26:03,280 nipype.workflow DEBUG:\n",
"\t (fixedfx.inputspec, fixedfx.varcopemerge): No edge data\n",
"181130-02:26:03,281 nipype.workflow DEBUG:\n",
"\t (fixedfx.inputspec, fixedfx.varcopemerge): new edge data: {'connect': [('varcopes', 'in_files')]}\n",
"181130-02:26:03,282 nipype.workflow DEBUG:\n",
"\t (fixedfx.inputspec, fixedfx.gendofvolume): No edge data\n",
"181130-02:26:03,283 nipype.workflow DEBUG:\n",
"\t (fixedfx.inputspec, fixedfx.gendofvolume): new edge data: {'connect': [('dof_files', 'dof_files')]}\n",
"181130-02:26:03,284 nipype.workflow DEBUG:\n",
"\t (fixedfx.copemerge, fixedfx.gendofvolume): No edge data\n",
"181130-02:26:03,286 nipype.workflow DEBUG:\n",
"\t (fixedfx.copemerge, fixedfx.gendofvolume): new edge data: {'connect': [('merged_file', 'cope_files')]}\n",
"181130-02:26:03,287 nipype.workflow DEBUG:\n",
"\t (fixedfx.copemerge, fixedfx.flameo): No edge data\n",
"181130-02:26:03,288 nipype.workflow DEBUG:\n",
"\t (fixedfx.copemerge, fixedfx.flameo): new edge data: {'connect': [('merged_file', 'cope_file')]}\n",
"181130-02:26:03,289 nipype.workflow DEBUG:\n",
"\t (fixedfx.varcopemerge, fixedfx.flameo): No edge data\n",
"181130-02:26:03,290 nipype.workflow DEBUG:\n",
"\t (fixedfx.varcopemerge, fixedfx.flameo): new edge data: {'connect': [('merged_file', 'var_cope_file')]}\n",
"181130-02:26:03,291 nipype.workflow DEBUG:\n",
"\t (fixedfx.l2model, fixedfx.flameo): No edge data\n",
"181130-02:26:03,292 nipype.workflow DEBUG:\n",
"\t (fixedfx.l2model, fixedfx.flameo): new edge data: {'connect': [('design_mat', 'design_file'), ('design_con', 't_con_file'), ('design_grp', 'cov_split_file')]}\n",
"181130-02:26:03,293 nipype.workflow DEBUG:\n",
"\t (fixedfx.gendofvolume, fixedfx.flameo): No edge data\n",
"181130-02:26:03,294 nipype.workflow DEBUG:\n",
"\t (fixedfx.gendofvolume, fixedfx.flameo): new edge data: {'connect': [('dof_volume', 'dof_var_cope_file')]}\n",
"181130-02:26:03,295 nipype.workflow DEBUG:\n",
"\t (fixedfx.flameo, fixedfx.outputspec): No edge data\n",
"181130-02:26:03,296 nipype.workflow DEBUG:\n",
"\t (fixedfx.flameo, fixedfx.outputspec): new edge data: {'connect': [('res4d', 'res4d'), ('copes', 'copes'), ('var_copes', 'varcopes'), ('zstats', 'zstats'), ('tstats', 'tstats')]}\n"
]
}
],
"source": [
"l1_workflow = pe.Workflow('l1', base_dir = work_dir)\n",
"l1_workflow.config['execution'] = dict(crashdump_dir=opj(project_dir, 'work_analysis', 'l1_model', 'task-{}_model-{}_sub-{}'.format(task, model, subject), 'crashdumps'))\n",
"\n",
"datasinkdebug = pe.Node(nio.DataSink(), name='sinker')\n",
"datasinkdebug.inputs.base_directory = opj(l1_workflow.base_dir, 'debug_files')\n",
"\n",
"def print_input_fun(ins):\n",
" print('{}CUSTOMDEBUG'.format('--'))\n",
" print('ins: {}'.format(len(ins)))\n",
" print(ins)\n",
" outs = ins\n",
" return outs\n",
" \n",
"print_input = pe.Node(niu.Function(input_names=['ins'], output_names=['outs'], function=print_input_fun), 'print_input')\n",
"\n",
"pass_run_data = pe.Node(niu.IdentityInterface(fields = ['mask', 'dof_file', 'copes', 'varcopes']), 'pass_run_data')\n",
"\n",
"\n",
"join_run_data = pe.JoinNode(\n",
" niu.IdentityInterface(fields=['masks', 'dof_files', 'copes', 'varcopes']),\n",
" joinsource='inputnode',\n",
" joinfield=['masks', 'dof_files', 'copes', 'varcopes'],\n",
" name='join_run_data')\n",
"\n",
"def sort_filmgls_output(copes_grouped_by_run, varcopes_grouped_by_run):\n",
" \n",
" def reshape_lists(files_grouped_by_run):\n",
" import numpy as np\n",
" if not isinstance(files_grouped_by_run, list):\n",
" files = [files_grouped_by_run]\n",
" else:\n",
" files = files_grouped_by_run\n",
" \n",
" if all(len(x) == len(files[0]) for x in files):\n",
" n_files = len(files[0])\n",
" else:\n",
" ('{}DEBUG - files {}'.format('-=-', len(files)))\n",
" print(files)\n",
"\n",
" all_files = np.array(files).flatten()\n",
" files_grouped_by_contrast = all_files.reshape(int(len(all_files) / n_files), n_files).T.tolist()\n",
" \n",
" return files_grouped_by_contrast\n",
" \n",
" copes_grouped_by_contrast = reshape_lists(copes_grouped_by_run)\n",
" varcopes_grouped_by_contrast = reshape_lists(varcopes_grouped_by_run)\n",
" \n",
" print('{}DEBUG - copes_grouped_by_contrast {}'.format('==-', len(copes_grouped_by_contrast)))\n",
" print(copes_grouped_by_contrast)\n",
" \n",
" print('{}DEBUG - varcopes_grouped_by_contrast {}'.format('---', len(varcopes_grouped_by_contrast)))\n",
" print(varcopes_grouped_by_contrast)\n",
" \n",
" return copes_grouped_by_contrast, varcopes_grouped_by_contrast\n",
"\n",
"\n",
"group_by_contrast = pe.Node(niu.Function(input_names=['copes_grouped_by_run', 'varcopes_grouped_by_run'], output_names=['copes_grouped_by_contrast', 'varcopes_grouped_by_contrast'], function=sort_filmgls_output), name='group_by_contrast')\n",
"\n",
"fixed_fx = create_fixed_effects_flow()\n",
"\n",
"\n",
"pickfirst = lambda x: x[0]\n",
"\n",
"num_copes = lambda x: len(x)"
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"181130-02:26:03,385 nipype.workflow DEBUG:\n",
"\t (l1.inputnode, l1.datasource): No edge data\n",
"181130-02:26:03,386 nipype.workflow DEBUG:\n",
"\t (l1.inputnode, l1.datasource): new edge data: {'connect': [('subject_id', 'subject_id'), ('task', 'task'), ('model', 'model'), ('run', 'run')]}\n",
"181130-02:26:03,388 nipype.workflow DEBUG:\n",
"\t (l1.datasource, l1.model_param_gen): No edge data\n",
"181130-02:26:03,389 nipype.workflow DEBUG:\n",
"\t (l1.datasource, l1.model_param_gen): new edge data: {'connect': [('events_file', 'events_file'), ('confounds_file', 'confounds_file')]}\n",
"181130-02:26:03,390 nipype.workflow DEBUG:\n",
"\t (l1.datasource, l1.modelspec): No edge data\n",
"181130-02:26:03,391 nipype.workflow DEBUG:\n",
"\t (l1.datasource, l1.modelspec): new edge data: {'connect': [('func', 'functional_runs')]}\n",
"181130-02:26:03,392 nipype.workflow DEBUG:\n",
"\t (l1.model_param_gen, l1.modelspec): No edge data\n",
"181130-02:26:03,394 nipype.workflow DEBUG:\n",
"\t (l1.model_param_gen, l1.modelspec): new edge data: {'connect': [('model_specification', 'subject_info')]}\n",
"181130-02:26:03,395 nipype.workflow DEBUG:\n",
"\t (l1.model_param_gen, l1.level1design): No edge data\n",
"181130-02:26:03,396 nipype.workflow DEBUG:\n",
"\t (l1.model_param_gen, l1.level1design): new edge data: {'connect': [('contrasts', 'contrasts')]}\n",
"181130-02:26:03,397 nipype.workflow DEBUG:\n",
"\t (l1.modelspec, l1.level1design): No edge data\n",
"181130-02:26:03,398 nipype.workflow DEBUG:\n",
"\t (l1.modelspec, l1.level1design): new edge data: {'connect': [('session_info', 'session_info')]}\n",
"181130-02:26:03,399 nipype.workflow DEBUG:\n",
"\t (l1.level1design, l1.feat_model_gen): No edge data\n",
"181130-02:26:03,400 nipype.workflow DEBUG:\n",
"\t (l1.level1design, l1.feat_model_gen): new edge data: {'connect': [('fsf_files', 'fsf_file'), ('ev_files', 'ev_files')]}\n",
"181130-02:26:03,401 nipype.workflow DEBUG:\n",
"\t (l1.datasource, l1.mask): No edge data\n",
"181130-02:26:03,402 nipype.workflow DEBUG:\n",
"\t (l1.datasource, l1.mask): new edge data: {'connect': [('mask', 'mask_file'), ('func', 'in_file')]}\n",
"181130-02:26:03,403 nipype.workflow DEBUG:\n",
"\t (l1.mask, l1.modelestimate): No edge data\n",
"181130-02:26:03,405 nipype.workflow DEBUG:\n",
"\t (l1.mask, l1.modelestimate): new edge data: {'connect': [('out_file', 'in_file')]}\n",
"181130-02:26:03,406 nipype.workflow DEBUG:\n",
"\t (l1.feat_model_gen, l1.modelestimate): No edge data\n",
"181130-02:26:03,407 nipype.workflow DEBUG:\n",
"\t (l1.feat_model_gen, l1.modelestimate): new edge data: {'connect': [('design_file', 'design_file'), ('con_file', 'tcon_file'), ('fcon_file', 'fcon_file')]}\n",
"181130-02:26:03,408 nipype.workflow DEBUG:\n",
"\t (l1.datasource, l1.pass_run_data): No edge data\n",
"181130-02:26:03,409 nipype.workflow DEBUG:\n",
"\t (l1.datasource, l1.pass_run_data): new edge data: {'connect': [('mask', 'mask')]}\n",
"181130-02:26:03,410 nipype.workflow DEBUG:\n",
"\t (l1.modelestimate, l1.pass_run_data): No edge data\n",
"181130-02:26:03,411 nipype.workflow DEBUG:\n",
"\t (l1.modelestimate, l1.pass_run_data): new edge data: {'connect': [('copes', 'copes'), ('varcopes', 'varcopes'), ('dof_file', 'dof_file')]}\n",
"181130-02:26:03,412 nipype.workflow DEBUG:\n",
"\t (l1.pass_run_data, l1.join_run_data): No edge data\n",
"181130-02:26:03,413 nipype.workflow DEBUG:\n",
"\t (l1.pass_run_data, l1.join_run_data): new edge data: {'connect': [('mask', 'masks'), ('dof_file', 'dof_files'), ('copes', 'copes'), ('varcopes', 'varcopes')]}\n",
"181130-02:26:03,414 nipype.workflow DEBUG:\n",
"\t (l1.join_run_data, l1.group_by_contrast): No edge data\n",
"181130-02:26:03,415 nipype.workflow DEBUG:\n",
"\t (l1.join_run_data, l1.group_by_contrast): new edge data: {'connect': [('copes', 'copes_grouped_by_run'), ('varcopes', 'varcopes_grouped_by_run')]}\n",
"181130-02:26:03,416 nipype.workflow DEBUG:\n",
"\t (l1.feat_model_gen, l1.datasink): No edge data\n",
"181130-02:26:03,417 nipype.workflow DEBUG:\n",
"\t (l1.feat_model_gen, l1.datasink): new edge data: {'connect': [('design_file', 'design.@design_matrix')]}\n",
"181130-02:26:03,418 nipype.workflow DEBUG:\n",
"\t (l1.modelestimate, l1.datasink): No edge data\n",
"181130-02:26:03,420 nipype.workflow DEBUG:\n",
"\t (l1.modelestimate, l1.datasink): new edge data: {'connect': [('zstats', 'film.@zstats'), ('copes', 'film.@copes'), ('varcopes', 'film.@varcopes'), ('param_estimates', 'film.@parameter_estimates'), ('dof_file', 'film.@dof')]}\n",
"181130-02:26:03,421 nipype.workflow DEBUG:\n",
"\t (l1.group_by_contrast, l1.fixedfx): No edge data\n",
"181130-02:26:03,422 nipype.workflow DEBUG:\n",
"\t (l1.group_by_contrast, l1.fixedfx): new edge data: {'connect': [('copes_grouped_by_contrast', 'inputspec.copes'), ('varcopes_grouped_by_contrast', 'inputspec.varcopes')]}\n",
"181130-02:26:03,423 nipype.workflow DEBUG:\n",
"\t (l1.join_run_data, l1.fixedfx): No edge data\n",
"181130-02:26:03,424 nipype.workflow DEBUG:\n",
"\t (l1.join_run_data, l1.fixedfx): new edge data: {'connect': [(('masks', 'pickfirst = lambda x: x[0]\\n', ()), 'flameo.mask_file'), ('dof_files', 'inputspec.dof_files'), (('copes', 'num_copes = lambda x: len(x)\\n', ()), 'l2model.num_copes')]}\n",
"181130-02:26:03,425 nipype.workflow DEBUG:\n",
"\t (l1.fixedfx, l1.datasink): No edge data\n",
"181130-02:26:03,426 nipype.workflow DEBUG:\n",
"\t (l1.fixedfx, l1.datasink): new edge data: {'connect': [('outputspec.res4d', 'flameo.@res4d'), ('outputspec.copes', 'flameo.@copes'), ('outputspec.varcopes', 'flameo.@varcopes'), ('outputspec.zstats', 'flameo.@zstats'), ('outputspec.tstats', 'flameo.@tstats')]}\n"
]
}
],
"source": [
"level1_workflow = pe.Workflow('l1', base_dir = work_dir)\n",
"\n",
"level1_workflow.connect([\n",
" ### Build first level model\n",
" (inputnode, datasource, [\n",
" ('subject_id', 'subject_id'),\n",
" ('task', 'task'),\n",
" ('model', 'model'),\n",
" ('run', 'run')]),\n",
" (datasource, model_param_gen, [\n",
" ('events_file', 'events_file'),\n",
" ('confounds_file', 'confounds_file')]),\n",
" (datasource, modelspec, [('func', 'functional_runs')]),\n",
" (model_param_gen, modelspec, [('model_specification', 'subject_info')]),\n",
" (model_param_gen, level1design, [('contrasts', 'contrasts')]),\n",
" (modelspec, level1design, [('session_info', 'session_info')]),\n",
" (level1design, feat_model_gen, [\n",
" ('fsf_files', 'fsf_file'),\n",
" ('ev_files', 'ev_files')]),\n",
" (datasource, mask, [\n",
" ('mask', 'mask_file'),\n",
" ('func', 'in_file')]),\n",
" \n",
" ### Prep functional data\n",
" (mask, modelestimate, [('out_file', 'in_file')]),\n",
" \n",
" ### Estimate model\n",
" (feat_model_gen, modelestimate, [\n",
" ('design_file', 'design_file'),\n",
" ('con_file', 'tcon_file'),\n",
" ('fcon_file', 'fcon_file')]),\n",
"\n",
" (datasource, pass_run_data, [('mask', 'mask')]),\n",
" (modelestimate, pass_run_data, [\n",
" ('copes', 'copes'),\n",
" ('varcopes', 'varcopes'),\n",
" ('dof_file', 'dof_file'),\n",
" ]),\n",
" \n",
" ### Aggregate run across runs\n",
" (pass_run_data, join_run_data, [\n",
" ('mask', 'masks'),\n",
" ('dof_file', 'dof_files'),\n",
" ('copes', 'copes'),\n",
" ('varcopes', 'varcopes'),\n",
" ]),\n",
" \n",
" (join_run_data, group_by_contrast, [\n",
" ('copes', 'copes_grouped_by_run'),\n",
" ('varcopes', 'varcopes_grouped_by_run')\n",
" ]),\n",
"\n",
" ### Write out model files\n",
" (feat_model_gen, datasink, [('design_file', 'design.@design_matrix')]),\n",
"# (mask, datasink, [('out_file', 'input.@masked_functional')]),\n",
" (modelestimate, datasink, [\n",
" ('zstats', 'film.@zstats'),\n",
" ('copes', 'film.@copes'),\n",
" ('varcopes', 'film.@varcopes'),\n",
" ('param_estimates', 'film.@parameter_estimates'),\n",
" ('dof_file', 'film.@dof'),\n",
" ]),\n",
" \n",
" ### Fixed Effects Model\n",
" (group_by_contrast, fixed_fx, [\n",
" ('copes_grouped_by_contrast', 'inputspec.copes'),\n",
" ('varcopes_grouped_by_contrast', 'inputspec.varcopes'),\n",
" ]),\n",
" \n",
" (join_run_data, fixed_fx, [\n",
" (('masks', pickfirst), 'flameo.mask_file'),\n",
" ('dof_files', 'inputspec.dof_files'),\n",
" (('copes', num_copes), 'l2model.num_copes'), ### number of runs\n",
" ]),\n",
" \n",
" ### Write out fixed effects results\n",
" (fixed_fx, datasink, [\n",
" ('outputspec.res4d', 'flameo.@res4d'), \n",
" ('outputspec.copes', 'flameo.@copes'), \n",
" ('outputspec.varcopes', 'flameo.@varcopes'),\n",
" ('outputspec.zstats', 'flameo.@zstats'), \n",
" ('outputspec.tstats', 'flameo.@tstats')\n",
" ]),\n",
"])\n"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"181130-02:26:03,462 nipype.workflow DEBUG:\n",
"\t connection: l1_inputnode -> l1_datasource;\n",
"181130-02:26:03,463 nipype.workflow DEBUG:\n",
"\t connection: l1_datasource -> l1_model_param_gen;\n",
"181130-02:26:03,464 nipype.workflow DEBUG:\n",
"\t connection: l1_datasource -> l1_modelspec;\n",
"181130-02:26:03,465 nipype.workflow DEBUG:\n",
"\t connection: l1_datasource -> l1_mask;\n",
"181130-02:26:03,466 nipype.workflow DEBUG:\n",
"\t connection: l1_datasource -> l1_pass_run_data;\n",
"181130-02:26:03,467 nipype.workflow DEBUG:\n",
"\t connection: l1_mask -> l1_modelestimate;\n",
"181130-02:26:03,468 nipype.workflow DEBUG:\n",
"\t connection: l1_model_param_gen -> l1_modelspec;\n",
"181130-02:26:03,469 nipype.workflow DEBUG:\n",
"\t connection: l1_model_param_gen -> l1_level1design;\n",
"181130-02:26:03,470 nipype.workflow DEBUG:\n",
"\t connection: l1_modelspec -> l1_level1design;\n",
"181130-02:26:03,471 nipype.workflow DEBUG:\n",
"\t connection: l1_level1design -> l1_feat_model_gen;\n",
"181130-02:26:03,472 nipype.workflow DEBUG:\n",
"\t connection: l1_feat_model_gen -> l1_modelestimate;\n",
"181130-02:26:03,473 nipype.workflow DEBUG:\n",
"\t connection: l1_feat_model_gen -> l1_datasink;\n",
"181130-02:26:03,474 nipype.workflow DEBUG:\n",
"\t connection: l1_modelestimate -> l1_pass_run_data;\n",
"181130-02:26:03,475 nipype.workflow DEBUG:\n",
"\t connection: l1_modelestimate -> l1_datasink;\n",
"181130-02:26:03,476 nipype.workflow DEBUG:\n",
"\t connection: l1_pass_run_data -> l1_join_run_data;\n",
"181130-02:26:03,477 nipype.workflow DEBUG:\n",
"\t connection: l1_join_run_data -> l1_group_by_contrast;\n",
"181130-02:26:03,478 nipype.workflow DEBUG:\n",
"\t connection: l1_fixedfx_l2model -> l1_fixedfx_flameo;\n",
"181130-02:26:03,479 nipype.workflow DEBUG:\n",
"\t connection: l1_fixedfx_inputspec -> l1_fixedfx_copemerge;\n",
"181130-02:26:03,480 nipype.workflow DEBUG:\n",
"\t connection: l1_fixedfx_inputspec -> l1_fixedfx_varcopemerge;\n",
"181130-02:26:03,481 nipype.workflow DEBUG:\n",
"\t connection: l1_fixedfx_inputspec -> l1_fixedfx_gendofvolume;\n",
"181130-02:26:03,482 nipype.workflow DEBUG:\n",
"\t connection: l1_fixedfx_varcopemerge -> l1_fixedfx_flameo;\n",
"181130-02:26:03,483 nipype.workflow DEBUG:\n",
"\t connection: l1_fixedfx_copemerge -> l1_fixedfx_gendofvolume;\n",
"181130-02:26:03,484 nipype.workflow DEBUG:\n",
"\t connection: l1_fixedfx_copemerge -> l1_fixedfx_flameo;\n",
"181130-02:26:03,485 nipype.workflow DEBUG:\n",
"\t connection: l1_fixedfx_gendofvolume -> l1_fixedfx_flameo;\n",
"181130-02:26:03,486 nipype.workflow DEBUG:\n",
"\t connection: l1_fixedfx_flameo -> l1_fixedfx_outputspec;\n",
"181130-02:26:03,487 nipype.workflow DEBUG:\n",
"\t cross connection: l1_join_run_data -> l1_fixedfx_flameo;\n",
"181130-02:26:03,488 nipype.workflow DEBUG:\n",
"\t cross connection: l1_join_run_data -> l1_fixedfx_inputspec;\n",
"181130-02:26:03,489 nipype.workflow DEBUG:\n",
"\t cross connection: l1_join_run_data -> l1_fixedfx_l2model;\n",
"181130-02:26:03,490 nipype.workflow DEBUG:\n",
"\t cross connection: l1_group_by_contrast -> l1_fixedfx_inputspec;\n",
"181130-02:26:03,491 nipype.workflow DEBUG:\n",
"\t cross connection: l1_group_by_contrast -> l1_fixedfx_inputspec;\n",
"181130-02:26:03,492 nipype.workflow DEBUG:\n",
"\t cross connection: l1_fixedfx_outputspec -> l1_datasink;\n",
"181130-02:26:03,493 nipype.workflow DEBUG:\n",
"\t cross connection: l1_fixedfx_outputspec -> l1_datasink;\n",
"181130-02:26:03,494 nipype.workflow DEBUG:\n",
"\t cross connection: l1_fixedfx_outputspec -> l1_datasink;\n",
"181130-02:26:03,495 nipype.workflow DEBUG:\n",
"\t cross connection: l1_fixedfx_outputspec -> l1_datasink;\n",
"181130-02:26:03,495 nipype.workflow DEBUG:\n",
"\t cross connection: l1_fixedfx_outputspec -> l1_datasink;\n",
"181130-02:26:04,67 nipype.workflow INFO:\n",
"\t Generated workflow graph: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/graph.png (graph2use=colored, simple_form=True).\n",
"181130-02:26:04,80 nipype.workflow DEBUG:\n",
"\t using input graph\n",
"181130-02:26:05,633 nipype.workflow DEBUG:\n",
"\t creating dot graph\n",
"181130-02:26:06,120 nipype.workflow INFO:\n",
"\t Generated workflow graph: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/graph_orig.png (graph2use=orig, simple_form=True).\n",
"181130-02:26:06,122 nipype.workflow DEBUG:\n",
"\t Creating flat graph for workflow: l1\n",
"181130-02:26:06,135 nipype.workflow DEBUG:\n",
"\t expanding workflow: l1\n",
"181130-02:26:06,137 nipype.workflow DEBUG:\n",
"\t processing node: l1.inputnode\n",
"181130-02:26:06,140 nipype.workflow DEBUG:\n",
"\t processing node: l1.datasource\n",
"181130-02:26:06,141 nipype.workflow DEBUG:\n",
"\t processing node: l1.mask\n",
"181130-02:26:06,142 nipype.workflow DEBUG:\n",
"\t processing node: l1.model_param_gen\n",
"181130-02:26:06,143 nipype.workflow DEBUG:\n",
"\t processing node: l1.modelspec\n",
"181130-02:26:06,145 nipype.workflow DEBUG:\n",
"\t processing node: l1.level1design\n",
"181130-02:26:06,146 nipype.workflow DEBUG:\n",
"\t processing node: l1.feat_model_gen\n",
"181130-02:26:06,147 nipype.workflow DEBUG:\n",
"\t processing node: l1.modelestimate\n",
"181130-02:26:06,148 nipype.workflow DEBUG:\n",
"\t processing node: l1.pass_run_data\n",
"181130-02:26:06,149 nipype.workflow DEBUG:\n",
"\t processing node: l1.join_run_data\n",
"181130-02:26:06,152 nipype.workflow DEBUG:\n",
"\t processing node: l1.group_by_contrast\n",
"181130-02:26:06,153 nipype.workflow DEBUG:\n",
"\t processing node: l1.fixedfx\n",
"181130-02:26:06,154 nipype.workflow DEBUG:\n",
"\t in: connections-> [('copes_grouped_by_contrast', 'inputspec.copes'), ('varcopes_grouped_by_contrast', 'inputspec.varcopes')]\n",
"181130-02:26:06,155 nipype.workflow DEBUG:\n",
"\t in: ('copes_grouped_by_contrast', 'inputspec.copes')\n",
"181130-02:26:06,162 nipype.workflow DEBUG:\n",
"\t in edges: l1.group_by_contrast copes_grouped_by_contrast fixedfx.inputspec copes\n",
"181130-02:26:06,163 nipype.workflow DEBUG:\n",
"\t disconnect(): l1.group_by_contrast->l1.fixedfx [('copes_grouped_by_contrast', 'inputspec.copes')]\n",
"181130-02:26:06,165 nipype.workflow DEBUG:\n",
"\t disconnect(): remove list [('copes_grouped_by_contrast', 'inputspec.copes')]\n",
"181130-02:26:06,166 nipype.workflow DEBUG:\n",
"\t disconnect(): removed connection ('copes_grouped_by_contrast', 'inputspec.copes')\n",
"181130-02:26:06,167 nipype.workflow DEBUG:\n",
"\t (l1.group_by_contrast, fixedfx.inputspec): No edge data\n",
"181130-02:26:06,168 nipype.workflow DEBUG:\n",
"\t (l1.group_by_contrast, fixedfx.inputspec): new edge data: {'connect': [('copes_grouped_by_contrast', 'copes')]}\n",
"181130-02:26:06,169 nipype.workflow DEBUG:\n",
"\t in: ('varcopes_grouped_by_contrast', 'inputspec.varcopes')\n",
"181130-02:26:06,176 nipype.workflow DEBUG:\n",
"\t in edges: l1.group_by_contrast varcopes_grouped_by_contrast fixedfx.inputspec varcopes\n",
"181130-02:26:06,177 nipype.workflow DEBUG:\n",
"\t disconnect(): l1.group_by_contrast->l1.fixedfx [('varcopes_grouped_by_contrast', 'inputspec.varcopes')]\n",
"181130-02:26:06,178 nipype.workflow DEBUG:\n",
"\t disconnect(): remove list [('varcopes_grouped_by_contrast', 'inputspec.varcopes')]\n",
"181130-02:26:06,179 nipype.workflow DEBUG:\n",
"\t disconnect(): removed connection ('varcopes_grouped_by_contrast', 'inputspec.varcopes')\n",
"181130-02:26:06,180 nipype.workflow DEBUG:\n",
"\t (l1.group_by_contrast, fixedfx.inputspec): Edge data exists: {'connect': [('copes_grouped_by_contrast', 'copes')]}\n",
"181130-02:26:06,181 nipype.workflow DEBUG:\n",
"\t (l1.group_by_contrast, fixedfx.inputspec): new edge data: {'connect': [('copes_grouped_by_contrast', 'copes'), ('varcopes_grouped_by_contrast', 'varcopes')]}\n",
"181130-02:26:06,182 nipype.workflow DEBUG:\n",
"\t in: connections-> [(('masks', 'pickfirst = lambda x: x[0]\\n', ()), 'flameo.mask_file'), ('dof_files', 'inputspec.dof_files'), (('copes', 'num_copes = lambda x: len(x)\\n', ()), 'l2model.num_copes')]\n",
"181130-02:26:06,184 nipype.workflow DEBUG:\n",
"\t in: (('masks', 'pickfirst = lambda x: x[0]\\n', ()), 'flameo.mask_file')\n",
"181130-02:26:06,190 nipype.workflow DEBUG:\n",
"\t in edges: l1.join_run_data ('masks', 'pickfirst = lambda x: x[0]\\n', ()) fixedfx.flameo mask_file\n",
"181130-02:26:06,191 nipype.workflow DEBUG:\n",
"\t disconnect(): l1.join_run_data->l1.fixedfx [(('masks', 'pickfirst = lambda x: x[0]\\n', ()), 'flameo.mask_file')]\n",
"181130-02:26:06,192 nipype.workflow DEBUG:\n",
"\t disconnect(): remove list [(('masks', 'pickfirst = lambda x: x[0]\\n', ()), 'flameo.mask_file')]\n",
"181130-02:26:06,193 nipype.workflow DEBUG:\n",
"\t disconnect(): removed connection (('masks', 'pickfirst = lambda x: x[0]\\n', ()), 'flameo.mask_file')\n",
"181130-02:26:06,194 nipype.workflow DEBUG:\n",
"\t (l1.join_run_data, fixedfx.flameo): No edge data\n",
"181130-02:26:06,195 nipype.workflow DEBUG:\n",
"\t (l1.join_run_data, fixedfx.flameo): new edge data: {'connect': [(('masks', 'pickfirst = lambda x: x[0]\\n', ()), 'mask_file')]}\n",
"181130-02:26:06,196 nipype.workflow DEBUG:\n",
"\t in: ('dof_files', 'inputspec.dof_files')\n",
"181130-02:26:06,203 nipype.workflow DEBUG:\n",
"\t in edges: l1.join_run_data dof_files fixedfx.inputspec dof_files\n",
"181130-02:26:06,204 nipype.workflow DEBUG:\n",
"\t disconnect(): l1.join_run_data->l1.fixedfx [('dof_files', 'inputspec.dof_files')]\n",
"181130-02:26:06,205 nipype.workflow DEBUG:\n",
"\t disconnect(): remove list [('dof_files', 'inputspec.dof_files')]\n",
"181130-02:26:06,206 nipype.workflow DEBUG:\n",
"\t disconnect(): removed connection ('dof_files', 'inputspec.dof_files')\n",
"181130-02:26:06,207 nipype.workflow DEBUG:\n",
"\t (l1.join_run_data, fixedfx.inputspec): No edge data\n",
"181130-02:26:06,208 nipype.workflow DEBUG:\n",
"\t (l1.join_run_data, fixedfx.inputspec): new edge data: {'connect': [('dof_files', 'dof_files')]}\n",
"181130-02:26:06,208 nipype.workflow DEBUG:\n",
"\t in: (('copes', 'num_copes = lambda x: len(x)\\n', ()), 'l2model.num_copes')\n",
"181130-02:26:06,215 nipype.workflow DEBUG:\n",
"\t in edges: l1.join_run_data ('copes', 'num_copes = lambda x: len(x)\\n', ()) fixedfx.l2model num_copes\n",
"181130-02:26:06,216 nipype.workflow DEBUG:\n",
"\t disconnect(): l1.join_run_data->l1.fixedfx [(('copes', 'num_copes = lambda x: len(x)\\n', ()), 'l2model.num_copes')]\n",
"181130-02:26:06,217 nipype.workflow DEBUG:\n",
"\t disconnect(): remove list [(('copes', 'num_copes = lambda x: len(x)\\n', ()), 'l2model.num_copes')]\n",
"181130-02:26:06,218 nipype.workflow DEBUG:\n",
"\t disconnect(): removed connection (('copes', 'num_copes = lambda x: len(x)\\n', ()), 'l2model.num_copes')\n",
"181130-02:26:06,219 nipype.workflow DEBUG:\n",
"\t (l1.join_run_data, fixedfx.l2model): No edge data\n",
"181130-02:26:06,220 nipype.workflow DEBUG:\n",
"\t (l1.join_run_data, fixedfx.l2model): new edge data: {'connect': [(('copes', 'num_copes = lambda x: len(x)\\n', ()), 'num_copes')]}\n",
"181130-02:26:06,220 nipype.workflow DEBUG:\n",
"\t out: connections-> [('outputspec.res4d', 'flameo.@res4d'), ('outputspec.copes', 'flameo.@copes'), ('outputspec.varcopes', 'flameo.@varcopes'), ('outputspec.zstats', 'flameo.@zstats'), ('outputspec.tstats', 'flameo.@tstats')]\n",
"181130-02:26:06,221 nipype.workflow DEBUG:\n",
"\t out: ('outputspec.res4d', 'flameo.@res4d')\n",
"181130-02:26:06,231 nipype.workflow DEBUG:\n",
"\t out edges: fixedfx.outputspec res4d l1.datasink flameo.@res4d\n",
"181130-02:26:06,232 nipype.workflow DEBUG:\n",
"\t disconnect(): l1.fixedfx->l1.datasink [('outputspec.res4d', 'flameo.@res4d')]\n",
"181130-02:26:06,233 nipype.workflow DEBUG:\n",
"\t disconnect(): remove list [('outputspec.res4d', 'flameo.@res4d')]\n",
"181130-02:26:06,234 nipype.workflow DEBUG:\n",
"\t disconnect(): removed connection ('outputspec.res4d', 'flameo.@res4d')\n",
"181130-02:26:06,235 nipype.workflow DEBUG:\n",
"\t (fixedfx.outputspec, l1.datasink): No edge data\n",
"181130-02:26:06,236 nipype.workflow DEBUG:\n",
"\t (fixedfx.outputspec, l1.datasink): new edge data: {'connect': [('res4d', 'flameo.@res4d')]}\n",
"181130-02:26:06,237 nipype.workflow DEBUG:\n",
"\t out: ('outputspec.copes', 'flameo.@copes')\n",
"181130-02:26:06,246 nipype.workflow DEBUG:\n",
"\t out edges: fixedfx.outputspec copes l1.datasink flameo.@copes\n",
"181130-02:26:06,247 nipype.workflow DEBUG:\n",
"\t disconnect(): l1.fixedfx->l1.datasink [('outputspec.copes', 'flameo.@copes')]\n",
"181130-02:26:06,248 nipype.workflow DEBUG:\n",
"\t disconnect(): remove list [('outputspec.copes', 'flameo.@copes')]\n",
"181130-02:26:06,249 nipype.workflow DEBUG:\n",
"\t disconnect(): removed connection ('outputspec.copes', 'flameo.@copes')\n",
"181130-02:26:06,249 nipype.workflow DEBUG:\n",
"\t (fixedfx.outputspec, l1.datasink): Edge data exists: {'connect': [('res4d', 'flameo.@res4d')]}\n",
"181130-02:26:06,250 nipype.workflow DEBUG:\n",
"\t (fixedfx.outputspec, l1.datasink): new edge data: {'connect': [('res4d', 'flameo.@res4d'), ('copes', 'flameo.@copes')]}\n",
"181130-02:26:06,251 nipype.workflow DEBUG:\n",
"\t out: ('outputspec.varcopes', 'flameo.@varcopes')\n",
"181130-02:26:06,256 nipype.workflow DEBUG:\n",
"\t out edges: fixedfx.outputspec varcopes l1.datasink flameo.@varcopes\n",
"181130-02:26:06,256 nipype.workflow DEBUG:\n",
"\t disconnect(): l1.fixedfx->l1.datasink [('outputspec.varcopes', 'flameo.@varcopes')]\n",
"181130-02:26:06,257 nipype.workflow DEBUG:\n",
"\t disconnect(): remove list [('outputspec.varcopes', 'flameo.@varcopes')]\n",
"181130-02:26:06,258 nipype.workflow DEBUG:\n",
"\t disconnect(): removed connection ('outputspec.varcopes', 'flameo.@varcopes')\n",
"181130-02:26:06,258 nipype.workflow DEBUG:\n",
"\t (fixedfx.outputspec, l1.datasink): Edge data exists: {'connect': [('res4d', 'flameo.@res4d'), ('copes', 'flameo.@copes')]}\n",
"181130-02:26:06,259 nipype.workflow DEBUG:\n",
"\t (fixedfx.outputspec, l1.datasink): new edge data: {'connect': [('res4d', 'flameo.@res4d'), ('copes', 'flameo.@copes'), ('varcopes', 'flameo.@varcopes')]}\n",
"181130-02:26:06,260 nipype.workflow DEBUG:\n",
"\t out: ('outputspec.zstats', 'flameo.@zstats')\n",
"181130-02:26:06,265 nipype.workflow DEBUG:\n",
"\t out edges: fixedfx.outputspec zstats l1.datasink flameo.@zstats\n",
"181130-02:26:06,265 nipype.workflow DEBUG:\n",
"\t disconnect(): l1.fixedfx->l1.datasink [('outputspec.zstats', 'flameo.@zstats')]\n",
"181130-02:26:06,266 nipype.workflow DEBUG:\n",
"\t disconnect(): remove list [('outputspec.zstats', 'flameo.@zstats')]\n",
"181130-02:26:06,266 nipype.workflow DEBUG:\n",
"\t disconnect(): removed connection ('outputspec.zstats', 'flameo.@zstats')\n",
"181130-02:26:06,267 nipype.workflow DEBUG:\n",
"\t (fixedfx.outputspec, l1.datasink): Edge data exists: {'connect': [('res4d', 'flameo.@res4d'), ('copes', 'flameo.@copes'), ('varcopes', 'flameo.@varcopes')]}\n",
"181130-02:26:06,268 nipype.workflow DEBUG:\n",
"\t (fixedfx.outputspec, l1.datasink): new edge data: {'connect': [('res4d', 'flameo.@res4d'), ('copes', 'flameo.@copes'), ('varcopes', 'flameo.@varcopes'), ('zstats', 'flameo.@zstats')]}\n",
"181130-02:26:06,269 nipype.workflow DEBUG:\n",
"\t out: ('outputspec.tstats', 'flameo.@tstats')\n",
"181130-02:26:06,273 nipype.workflow DEBUG:\n",
"\t out edges: fixedfx.outputspec tstats l1.datasink flameo.@tstats\n",
"181130-02:26:06,274 nipype.workflow DEBUG:\n",
"\t disconnect(): l1.fixedfx->l1.datasink [('outputspec.tstats', 'flameo.@tstats')]\n",
"181130-02:26:06,275 nipype.workflow DEBUG:\n",
"\t disconnect(): remove list [('outputspec.tstats', 'flameo.@tstats')]\n",
"181130-02:26:06,275 nipype.workflow DEBUG:\n",
"\t disconnect(): removed connection ('outputspec.tstats', 'flameo.@tstats')\n",
"181130-02:26:06,276 nipype.workflow DEBUG:\n",
"\t (fixedfx.outputspec, l1.datasink): Edge data exists: {'connect': [('res4d', 'flameo.@res4d'), ('copes', 'flameo.@copes'), ('varcopes', 'flameo.@varcopes'), ('zstats', 'flameo.@zstats')]}\n",
"181130-02:26:06,277 nipype.workflow DEBUG:\n",
"\t (fixedfx.outputspec, l1.datasink): new edge data: {'connect': [('res4d', 'flameo.@res4d'), ('copes', 'flameo.@copes'), ('varcopes', 'flameo.@varcopes'), ('zstats', 'flameo.@zstats'), ('tstats', 'flameo.@tstats')]}\n",
"181130-02:26:06,277 nipype.workflow DEBUG:\n",
"\t expanding workflow: l1.fixedfx\n",
"181130-02:26:06,278 nipype.workflow DEBUG:\n",
"\t processing node: fixedfx.l2model\n",
"181130-02:26:06,278 nipype.workflow DEBUG:\n",
"\t processing node: fixedfx.inputspec\n",
"181130-02:26:06,279 nipype.workflow DEBUG:\n",
"\t processing node: fixedfx.varcopemerge\n",
"181130-02:26:06,280 nipype.workflow DEBUG:\n",
"\t processing node: fixedfx.copemerge\n",
"181130-02:26:06,281 nipype.workflow DEBUG:\n",
"\t processing node: fixedfx.gendofvolume\n",
"181130-02:26:06,281 nipype.workflow DEBUG:\n",
"\t processing node: fixedfx.flameo\n",
"181130-02:26:06,282 nipype.workflow DEBUG:\n",
"\t processing node: fixedfx.outputspec\n",
"181130-02:26:06,282 nipype.workflow DEBUG:\n",
"\t finished expanding workflow: l1.fixedfx\n",
"181130-02:26:06,283 nipype.workflow DEBUG:\n",
"\t processing node: l1.datasink\n",
"181130-02:26:06,284 nipype.workflow DEBUG:\n",
"\t finished expanding workflow: l1\n",
"181130-02:26:06,292 nipype.workflow DEBUG:\n",
"\t using input graph\n",
"181130-02:26:08,356 nipype.workflow DEBUG:\n",
"\t creating dot graph\n",
"181130-02:26:09,231 nipype.workflow INFO:\n",
"\t Generated workflow graph: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/graph_flat.png (graph2use=flat, simple_form=True).\n",
"181130-02:26:09,232 nipype.workflow DEBUG:\n",
"\t Creating flat graph for workflow: l1\n",
"181130-02:26:09,243 nipype.workflow DEBUG:\n",
"\t expanding workflow: l1\n",
"181130-02:26:09,244 nipype.workflow DEBUG:\n",
"\t processing node: l1.inputnode\n",
"181130-02:26:09,246 nipype.workflow DEBUG:\n",
"\t processing node: l1.datasource\n",
"181130-02:26:09,247 nipype.workflow DEBUG:\n",
"\t processing node: l1.mask\n",
"181130-02:26:09,248 nipype.workflow DEBUG:\n",
"\t processing node: l1.model_param_gen\n",
"181130-02:26:09,249 nipype.workflow DEBUG:\n",
"\t processing node: l1.modelspec\n",
"181130-02:26:09,250 nipype.workflow DEBUG:\n",
"\t processing node: l1.level1design\n",
"181130-02:26:09,251 nipype.workflow DEBUG:\n",
"\t processing node: l1.feat_model_gen\n",
"181130-02:26:09,252 nipype.workflow DEBUG:\n",
"\t processing node: l1.modelestimate\n",
"181130-02:26:09,253 nipype.workflow DEBUG:\n",
"\t processing node: l1.pass_run_data\n",
"181130-02:26:09,254 nipype.workflow DEBUG:\n",
"\t processing node: l1.join_run_data\n",
"181130-02:26:09,255 nipype.workflow DEBUG:\n",
"\t processing node: l1.group_by_contrast\n",
"181130-02:26:09,256 nipype.workflow DEBUG:\n",
"\t processing node: l1.fixedfx\n",
"181130-02:26:09,257 nipype.workflow DEBUG:\n",
"\t in: connections-> [('copes_grouped_by_contrast', 'inputspec.copes'), ('varcopes_grouped_by_contrast', 'inputspec.varcopes')]\n",
"181130-02:26:09,258 nipype.workflow DEBUG:\n",
"\t in: ('copes_grouped_by_contrast', 'inputspec.copes')\n",
"181130-02:26:09,262 nipype.workflow DEBUG:\n",
"\t in edges: l1.group_by_contrast copes_grouped_by_contrast fixedfx.inputspec copes\n",
"181130-02:26:09,263 nipype.workflow DEBUG:\n",
"\t disconnect(): l1.group_by_contrast->l1.fixedfx [('copes_grouped_by_contrast', 'inputspec.copes')]\n",
"181130-02:26:09,264 nipype.workflow DEBUG:\n",
"\t disconnect(): remove list [('copes_grouped_by_contrast', 'inputspec.copes')]\n",
"181130-02:26:09,274 nipype.workflow DEBUG:\n",
"\t disconnect(): removed connection ('copes_grouped_by_contrast', 'inputspec.copes')\n",
"181130-02:26:09,275 nipype.workflow DEBUG:\n",
"\t (l1.group_by_contrast, fixedfx.inputspec): No edge data\n",
"181130-02:26:09,275 nipype.workflow DEBUG:\n",
"\t (l1.group_by_contrast, fixedfx.inputspec): new edge data: {'connect': [('copes_grouped_by_contrast', 'copes')]}\n",
"181130-02:26:09,276 nipype.workflow DEBUG:\n",
"\t in: ('varcopes_grouped_by_contrast', 'inputspec.varcopes')\n",
"181130-02:26:09,280 nipype.workflow DEBUG:\n",
"\t in edges: l1.group_by_contrast varcopes_grouped_by_contrast fixedfx.inputspec varcopes\n",
"181130-02:26:09,281 nipype.workflow DEBUG:\n",
"\t disconnect(): l1.group_by_contrast->l1.fixedfx [('varcopes_grouped_by_contrast', 'inputspec.varcopes')]\n",
"181130-02:26:09,281 nipype.workflow DEBUG:\n",
"\t disconnect(): remove list [('varcopes_grouped_by_contrast', 'inputspec.varcopes')]\n",
"181130-02:26:09,282 nipype.workflow DEBUG:\n",
"\t disconnect(): removed connection ('varcopes_grouped_by_contrast', 'inputspec.varcopes')\n",
"181130-02:26:09,283 nipype.workflow DEBUG:\n",
"\t (l1.group_by_contrast, fixedfx.inputspec): Edge data exists: {'connect': [('copes_grouped_by_contrast', 'copes')]}\n",
"181130-02:26:09,284 nipype.workflow DEBUG:\n",
"\t (l1.group_by_contrast, fixedfx.inputspec): new edge data: {'connect': [('copes_grouped_by_contrast', 'copes'), ('varcopes_grouped_by_contrast', 'varcopes')]}\n",
"181130-02:26:09,285 nipype.workflow DEBUG:\n",
"\t in: connections-> [(('masks', 'pickfirst = lambda x: x[0]\\n', ()), 'flameo.mask_file'), ('dof_files', 'inputspec.dof_files'), (('copes', 'num_copes = lambda x: len(x)\\n', ()), 'l2model.num_copes')]\n",
"181130-02:26:09,286 nipype.workflow DEBUG:\n",
"\t in: (('masks', 'pickfirst = lambda x: x[0]\\n', ()), 'flameo.mask_file')\n",
"181130-02:26:09,292 nipype.workflow DEBUG:\n",
"\t in edges: l1.join_run_data ('masks', 'pickfirst = lambda x: x[0]\\n', ()) fixedfx.flameo mask_file\n",
"181130-02:26:09,293 nipype.workflow DEBUG:\n",
"\t disconnect(): l1.join_run_data->l1.fixedfx [(('masks', 'pickfirst = lambda x: x[0]\\n', ()), 'flameo.mask_file')]\n",
"181130-02:26:09,294 nipype.workflow DEBUG:\n",
"\t disconnect(): remove list [(('masks', 'pickfirst = lambda x: x[0]\\n', ()), 'flameo.mask_file')]\n",
"181130-02:26:09,295 nipype.workflow DEBUG:\n",
"\t disconnect(): removed connection (('masks', 'pickfirst = lambda x: x[0]\\n', ()), 'flameo.mask_file')\n",
"181130-02:26:09,296 nipype.workflow DEBUG:\n",
"\t (l1.join_run_data, fixedfx.flameo): No edge data\n",
"181130-02:26:09,297 nipype.workflow DEBUG:\n",
"\t (l1.join_run_data, fixedfx.flameo): new edge data: {'connect': [(('masks', 'pickfirst = lambda x: x[0]\\n', ()), 'mask_file')]}\n",
"181130-02:26:09,298 nipype.workflow DEBUG:\n",
"\t in: ('dof_files', 'inputspec.dof_files')\n",
"181130-02:26:09,304 nipype.workflow DEBUG:\n",
"\t in edges: l1.join_run_data dof_files fixedfx.inputspec dof_files\n",
"181130-02:26:09,305 nipype.workflow DEBUG:\n",
"\t disconnect(): l1.join_run_data->l1.fixedfx [('dof_files', 'inputspec.dof_files')]\n",
"181130-02:26:09,306 nipype.workflow DEBUG:\n",
"\t disconnect(): remove list [('dof_files', 'inputspec.dof_files')]\n",
"181130-02:26:09,307 nipype.workflow DEBUG:\n",
"\t disconnect(): removed connection ('dof_files', 'inputspec.dof_files')\n",
"181130-02:26:09,308 nipype.workflow DEBUG:\n",
"\t (l1.join_run_data, fixedfx.inputspec): No edge data\n",
"181130-02:26:09,309 nipype.workflow DEBUG:\n",
"\t (l1.join_run_data, fixedfx.inputspec): new edge data: {'connect': [('dof_files', 'dof_files')]}\n",
"181130-02:26:09,310 nipype.workflow DEBUG:\n",
"\t in: (('copes', 'num_copes = lambda x: len(x)\\n', ()), 'l2model.num_copes')\n",
"181130-02:26:09,315 nipype.workflow DEBUG:\n",
"\t in edges: l1.join_run_data ('copes', 'num_copes = lambda x: len(x)\\n', ()) fixedfx.l2model num_copes\n",
"181130-02:26:09,316 nipype.workflow DEBUG:\n",
"\t disconnect(): l1.join_run_data->l1.fixedfx [(('copes', 'num_copes = lambda x: len(x)\\n', ()), 'l2model.num_copes')]\n",
"181130-02:26:09,317 nipype.workflow DEBUG:\n",
"\t disconnect(): remove list [(('copes', 'num_copes = lambda x: len(x)\\n', ()), 'l2model.num_copes')]\n",
"181130-02:26:09,318 nipype.workflow DEBUG:\n",
"\t disconnect(): removed connection (('copes', 'num_copes = lambda x: len(x)\\n', ()), 'l2model.num_copes')\n",
"181130-02:26:09,319 nipype.workflow DEBUG:\n",
"\t (l1.join_run_data, fixedfx.l2model): No edge data\n",
"181130-02:26:09,320 nipype.workflow DEBUG:\n",
"\t (l1.join_run_data, fixedfx.l2model): new edge data: {'connect': [(('copes', 'num_copes = lambda x: len(x)\\n', ()), 'num_copes')]}\n",
"181130-02:26:09,321 nipype.workflow DEBUG:\n",
"\t out: connections-> [('outputspec.res4d', 'flameo.@res4d'), ('outputspec.copes', 'flameo.@copes'), ('outputspec.varcopes', 'flameo.@varcopes'), ('outputspec.zstats', 'flameo.@zstats'), ('outputspec.tstats', 'flameo.@tstats')]\n",
"181130-02:26:09,322 nipype.workflow DEBUG:\n",
"\t out: ('outputspec.res4d', 'flameo.@res4d')\n",
"181130-02:26:09,331 nipype.workflow DEBUG:\n",
"\t out edges: fixedfx.outputspec res4d l1.datasink flameo.@res4d\n",
"181130-02:26:09,332 nipype.workflow DEBUG:\n",
"\t disconnect(): l1.fixedfx->l1.datasink [('outputspec.res4d', 'flameo.@res4d')]\n",
"181130-02:26:09,333 nipype.workflow DEBUG:\n",
"\t disconnect(): remove list [('outputspec.res4d', 'flameo.@res4d')]\n",
"181130-02:26:09,334 nipype.workflow DEBUG:\n",
"\t disconnect(): removed connection ('outputspec.res4d', 'flameo.@res4d')\n",
"181130-02:26:09,334 nipype.workflow DEBUG:\n",
"\t (fixedfx.outputspec, l1.datasink): No edge data\n",
"181130-02:26:09,335 nipype.workflow DEBUG:\n",
"\t (fixedfx.outputspec, l1.datasink): new edge data: {'connect': [('res4d', 'flameo.@res4d')]}\n",
"181130-02:26:09,336 nipype.workflow DEBUG:\n",
"\t out: ('outputspec.copes', 'flameo.@copes')\n",
"181130-02:26:09,344 nipype.workflow DEBUG:\n",
"\t out edges: fixedfx.outputspec copes l1.datasink flameo.@copes\n",
"181130-02:26:09,345 nipype.workflow DEBUG:\n",
"\t disconnect(): l1.fixedfx->l1.datasink [('outputspec.copes', 'flameo.@copes')]\n",
"181130-02:26:09,346 nipype.workflow DEBUG:\n",
"\t disconnect(): remove list [('outputspec.copes', 'flameo.@copes')]\n",
"181130-02:26:09,346 nipype.workflow DEBUG:\n",
"\t disconnect(): removed connection ('outputspec.copes', 'flameo.@copes')\n",
"181130-02:26:09,347 nipype.workflow DEBUG:\n",
"\t (fixedfx.outputspec, l1.datasink): Edge data exists: {'connect': [('res4d', 'flameo.@res4d')]}\n",
"181130-02:26:09,348 nipype.workflow DEBUG:\n",
"\t (fixedfx.outputspec, l1.datasink): new edge data: {'connect': [('res4d', 'flameo.@res4d'), ('copes', 'flameo.@copes')]}\n",
"181130-02:26:09,349 nipype.workflow DEBUG:\n",
"\t out: ('outputspec.varcopes', 'flameo.@varcopes')\n",
"181130-02:26:09,356 nipype.workflow DEBUG:\n",
"\t out edges: fixedfx.outputspec varcopes l1.datasink flameo.@varcopes\n",
"181130-02:26:09,357 nipype.workflow DEBUG:\n",
"\t disconnect(): l1.fixedfx->l1.datasink [('outputspec.varcopes', 'flameo.@varcopes')]\n",
"181130-02:26:09,358 nipype.workflow DEBUG:\n",
"\t disconnect(): remove list [('outputspec.varcopes', 'flameo.@varcopes')]\n",
"181130-02:26:09,359 nipype.workflow DEBUG:\n",
"\t disconnect(): removed connection ('outputspec.varcopes', 'flameo.@varcopes')\n",
"181130-02:26:09,360 nipype.workflow DEBUG:\n",
"\t (fixedfx.outputspec, l1.datasink): Edge data exists: {'connect': [('res4d', 'flameo.@res4d'), ('copes', 'flameo.@copes')]}\n",
"181130-02:26:09,361 nipype.workflow DEBUG:\n",
"\t (fixedfx.outputspec, l1.datasink): new edge data: {'connect': [('res4d', 'flameo.@res4d'), ('copes', 'flameo.@copes'), ('varcopes', 'flameo.@varcopes')]}\n",
"181130-02:26:09,361 nipype.workflow DEBUG:\n",
"\t out: ('outputspec.zstats', 'flameo.@zstats')\n",
"181130-02:26:09,368 nipype.workflow DEBUG:\n",
"\t out edges: fixedfx.outputspec zstats l1.datasink flameo.@zstats\n",
"181130-02:26:09,369 nipype.workflow DEBUG:\n",
"\t disconnect(): l1.fixedfx->l1.datasink [('outputspec.zstats', 'flameo.@zstats')]\n",
"181130-02:26:09,370 nipype.workflow DEBUG:\n",
"\t disconnect(): remove list [('outputspec.zstats', 'flameo.@zstats')]\n",
"181130-02:26:09,370 nipype.workflow DEBUG:\n",
"\t disconnect(): removed connection ('outputspec.zstats', 'flameo.@zstats')\n",
"181130-02:26:09,371 nipype.workflow DEBUG:\n",
"\t (fixedfx.outputspec, l1.datasink): Edge data exists: {'connect': [('res4d', 'flameo.@res4d'), ('copes', 'flameo.@copes'), ('varcopes', 'flameo.@varcopes')]}\n",
"181130-02:26:09,372 nipype.workflow DEBUG:\n",
"\t (fixedfx.outputspec, l1.datasink): new edge data: {'connect': [('res4d', 'flameo.@res4d'), ('copes', 'flameo.@copes'), ('varcopes', 'flameo.@varcopes'), ('zstats', 'flameo.@zstats')]}\n",
"181130-02:26:09,373 nipype.workflow DEBUG:\n",
"\t out: ('outputspec.tstats', 'flameo.@tstats')\n",
"181130-02:26:09,380 nipype.workflow DEBUG:\n",
"\t out edges: fixedfx.outputspec tstats l1.datasink flameo.@tstats\n",
"181130-02:26:09,381 nipype.workflow DEBUG:\n",
"\t disconnect(): l1.fixedfx->l1.datasink [('outputspec.tstats', 'flameo.@tstats')]\n",
"181130-02:26:09,382 nipype.workflow DEBUG:\n",
"\t disconnect(): remove list [('outputspec.tstats', 'flameo.@tstats')]\n",
"181130-02:26:09,382 nipype.workflow DEBUG:\n",
"\t disconnect(): removed connection ('outputspec.tstats', 'flameo.@tstats')\n",
"181130-02:26:09,383 nipype.workflow DEBUG:\n",
"\t (fixedfx.outputspec, l1.datasink): Edge data exists: {'connect': [('res4d', 'flameo.@res4d'), ('copes', 'flameo.@copes'), ('varcopes', 'flameo.@varcopes'), ('zstats', 'flameo.@zstats')]}\n",
"181130-02:26:09,384 nipype.workflow DEBUG:\n",
"\t (fixedfx.outputspec, l1.datasink): new edge data: {'connect': [('res4d', 'flameo.@res4d'), ('copes', 'flameo.@copes'), ('varcopes', 'flameo.@varcopes'), ('zstats', 'flameo.@zstats'), ('tstats', 'flameo.@tstats')]}\n",
"181130-02:26:09,385 nipype.workflow DEBUG:\n",
"\t expanding workflow: l1.fixedfx\n",
"181130-02:26:09,386 nipype.workflow DEBUG:\n",
"\t processing node: fixedfx.l2model\n",
"181130-02:26:09,387 nipype.workflow DEBUG:\n",
"\t processing node: fixedfx.inputspec\n",
"181130-02:26:09,388 nipype.workflow DEBUG:\n",
"\t processing node: fixedfx.varcopemerge\n",
"181130-02:26:09,389 nipype.workflow DEBUG:\n",
"\t processing node: fixedfx.copemerge\n",
"181130-02:26:09,390 nipype.workflow DEBUG:\n",
"\t processing node: fixedfx.gendofvolume\n",
"181130-02:26:09,391 nipype.workflow DEBUG:\n",
"\t processing node: fixedfx.flameo\n",
"181130-02:26:09,392 nipype.workflow DEBUG:\n",
"\t processing node: fixedfx.outputspec\n",
"181130-02:26:09,392 nipype.workflow DEBUG:\n",
"\t finished expanding workflow: l1.fixedfx\n",
"181130-02:26:09,393 nipype.workflow DEBUG:\n",
"\t processing node: l1.datasink\n",
"181130-02:26:09,394 nipype.workflow DEBUG:\n",
"\t finished expanding workflow: l1\n",
"181130-02:26:09,405 nipype.workflow DEBUG:\n",
"\t PE: expanding iterables\n",
"181130-02:26:09,407 nipype.workflow DEBUG:\n",
"\t Removed the identity node l1.pass_run_data from the graph.\n",
"181130-02:26:09,408 nipype.workflow DEBUG:\n",
"\t Removed the identity node l1.fixedfx.inputspec from the graph.\n",
"181130-02:26:09,409 nipype.workflow DEBUG:\n",
"\t Removed the identity node l1.fixedfx.outputspec from the graph.\n",
"181130-02:26:09,410 nipype.workflow DEBUG:\n",
"\t Detected iterable nodes [l1.inputnode]\n",
"181130-02:26:09,411 nipype.workflow DEBUG:\n",
"\t Expanding the iterable node l1.inputnode...\n",
"181130-02:26:09,412 nipype.workflow DEBUG:\n",
"\t Excised the l1.datasource -> l1.join_run_data join node in-edge.\n",
"181130-02:26:09,413 nipype.workflow DEBUG:\n",
"\t Excised the l1.modelestimate -> l1.join_run_data join node in-edge.\n",
"181130-02:26:09,414 nipype.workflow DEBUG:\n",
"\t node: l1.inputnode iterables: {'run': <function _standardize_iterables.<locals>.make_field_func.<locals>.<lambda> at 0x2b4c8471f7b8>}\n",
"181130-02:26:09,415 nipype.workflow DEBUG:\n",
"\t ('subnodes:', [l1.inputnode, l1.datasource, l1.model_param_gen, l1.modelspec, l1.level1design, l1.feat_model_gen, l1.modelestimate, l1.datasink, l1.mask])\n",
"181130-02:26:09,423 nipype.workflow DEBUG:\n",
"\t [Node] inputnode - setting input run = 1\n",
"181130-02:26:09,424 nipype.workflow DEBUG:\n",
"\t Parameterization: paramstr=_run_1\n",
"181130-02:26:09,430 nipype.workflow DEBUG:\n",
"\t [Node] inputnode - setting input run = 2\n",
"181130-02:26:09,431 nipype.workflow DEBUG:\n",
"\t Parameterization: paramstr=_run_2\n",
"181130-02:26:09,437 nipype.workflow DEBUG:\n",
"\t [Node] inputnode - setting input run = 3\n",
"181130-02:26:09,438 nipype.workflow DEBUG:\n",
"\t Parameterization: paramstr=_run_3\n",
"181130-02:26:09,444 nipype.workflow DEBUG:\n",
"\t [Node] inputnode - setting input run = 4\n",
"181130-02:26:09,445 nipype.workflow DEBUG:\n",
"\t Parameterization: paramstr=_run_4\n",
"181130-02:26:09,447 nipype.workflow DEBUG:\n",
"\t The join node l1.join_run_data input l1.datasource was expanded to 4 nodes.\n",
"181130-02:26:09,448 nipype.workflow DEBUG:\n",
"\t The join node l1.join_run_data input l1.modelestimate was expanded to 4 nodes.\n",
"181130-02:26:09,449 nipype.workflow DEBUG:\n",
"\t Added the l1.join_run_data join item fields {'masks': 'masksJ1', 'dof_files': 'dof_filesJ1', 'copes': 'copesJ1', 'varcopes': 'varcopesJ1'}.\n",
"181130-02:26:09,451 nipype.workflow DEBUG:\n",
"\t Added the l1.join_run_data join item fields {'masks': 'masksJ2', 'dof_files': 'dof_filesJ2', 'copes': 'copesJ2', 'varcopes': 'varcopesJ2'}.\n",
"181130-02:26:09,452 nipype.workflow DEBUG:\n",
"\t Added the l1.join_run_data join item fields {'masks': 'masksJ3', 'dof_files': 'dof_filesJ3', 'copes': 'copesJ3', 'varcopes': 'varcopesJ3'}.\n",
"181130-02:26:09,453 nipype.workflow DEBUG:\n",
"\t Added the l1.join_run_data join item fields {'masks': 'masksJ4', 'dof_files': 'dof_filesJ4', 'copes': 'copesJ4', 'varcopes': 'varcopesJ4'}.\n",
"181130-02:26:09,454 nipype.workflow DEBUG:\n",
"\t Qualified the l1.datasource -> l1.join_run_data join field masks as masksJ1.\n",
"181130-02:26:09,455 nipype.workflow DEBUG:\n",
"\t Connected the join node l1.join_run_data subgraph to the expanded join point l1.datasource\n",
"181130-02:26:09,456 nipype.workflow DEBUG:\n",
"\t Qualified the l1.datasource -> l1.join_run_data join field masks as masksJ2.\n",
"181130-02:26:09,457 nipype.workflow DEBUG:\n",
"\t Connected the join node l1.join_run_data subgraph to the expanded join point l1.datasource\n",
"181130-02:26:09,458 nipype.workflow DEBUG:\n",
"\t Qualified the l1.datasource -> l1.join_run_data join field masks as masksJ3.\n",
"181130-02:26:09,459 nipype.workflow DEBUG:\n",
"\t Connected the join node l1.join_run_data subgraph to the expanded join point l1.datasource\n",
"181130-02:26:09,460 nipype.workflow DEBUG:\n",
"\t Qualified the l1.datasource -> l1.join_run_data join field masks as masksJ4.\n",
"181130-02:26:09,460 nipype.workflow DEBUG:\n",
"\t Connected the join node l1.join_run_data subgraph to the expanded join point l1.datasource\n",
"181130-02:26:09,461 nipype.workflow DEBUG:\n",
"\t Qualified the l1.modelestimate -> l1.join_run_data join field dof_files as dof_filesJ1.\n",
"181130-02:26:09,462 nipype.workflow DEBUG:\n",
"\t Qualified the l1.modelestimate -> l1.join_run_data join field copes as copesJ1.\n",
"181130-02:26:09,463 nipype.workflow DEBUG:\n",
"\t Qualified the l1.modelestimate -> l1.join_run_data join field varcopes as varcopesJ1.\n",
"181130-02:26:09,464 nipype.workflow DEBUG:\n",
"\t Connected the join node l1.join_run_data subgraph to the expanded join point l1.modelestimate\n",
"181130-02:26:09,465 nipype.workflow DEBUG:\n",
"\t Qualified the l1.modelestimate -> l1.join_run_data join field dof_files as dof_filesJ2.\n",
"181130-02:26:09,465 nipype.workflow DEBUG:\n",
"\t Qualified the l1.modelestimate -> l1.join_run_data join field copes as copesJ2.\n",
"181130-02:26:09,466 nipype.workflow DEBUG:\n",
"\t Qualified the l1.modelestimate -> l1.join_run_data join field varcopes as varcopesJ2.\n",
"181130-02:26:09,467 nipype.workflow DEBUG:\n",
"\t Connected the join node l1.join_run_data subgraph to the expanded join point l1.modelestimate\n",
"181130-02:26:09,468 nipype.workflow DEBUG:\n",
"\t Qualified the l1.modelestimate -> l1.join_run_data join field dof_files as dof_filesJ3.\n",
"181130-02:26:09,469 nipype.workflow DEBUG:\n",
"\t Qualified the l1.modelestimate -> l1.join_run_data join field copes as copesJ3.\n",
"181130-02:26:09,469 nipype.workflow DEBUG:\n",
"\t Qualified the l1.modelestimate -> l1.join_run_data join field varcopes as varcopesJ3.\n",
"181130-02:26:09,470 nipype.workflow DEBUG:\n",
"\t Connected the join node l1.join_run_data subgraph to the expanded join point l1.modelestimate\n",
"181130-02:26:09,471 nipype.workflow DEBUG:\n",
"\t Qualified the l1.modelestimate -> l1.join_run_data join field dof_files as dof_filesJ4.\n",
"181130-02:26:09,472 nipype.workflow DEBUG:\n",
"\t Qualified the l1.modelestimate -> l1.join_run_data join field copes as copesJ4.\n",
"181130-02:26:09,473 nipype.workflow DEBUG:\n",
"\t Qualified the l1.modelestimate -> l1.join_run_data join field varcopes as varcopesJ4.\n",
"181130-02:26:09,473 nipype.workflow DEBUG:\n",
"\t Connected the join node l1.join_run_data subgraph to the expanded join point l1.modelestimate\n",
"181130-02:26:09,475 nipype.workflow DEBUG:\n",
"\t PE: expanding iterables ... done\n",
"181130-02:26:09,476 nipype.workflow DEBUG:\n",
"\t [Node] datasource - setting input subject_id = 001\n",
"181130-02:26:09,477 nipype.workflow DEBUG:\n",
"\t [Node] datasource - setting input task = emoregulate\n",
"181130-02:26:09,478 nipype.workflow DEBUG:\n",
"\t [Node] datasource - setting input model = testmodel\n",
"181130-02:26:09,479 nipype.workflow DEBUG:\n",
"\t [Node] datasource - setting input run = 4\n",
"181130-02:26:09,479 nipype.workflow DEBUG:\n",
"\t Removed the identity node l1.inputnode from the graph.\n",
"181130-02:26:09,480 nipype.workflow DEBUG:\n",
"\t [Node] datasource - setting input subject_id = 001\n",
"181130-02:26:09,481 nipype.workflow DEBUG:\n",
"\t [Node] datasource - setting input task = emoregulate\n",
"181130-02:26:09,482 nipype.workflow DEBUG:\n",
"\t [Node] datasource - setting input model = testmodel\n",
"181130-02:26:09,482 nipype.workflow DEBUG:\n",
"\t [Node] datasource - setting input run = 3\n",
"181130-02:26:09,483 nipype.workflow DEBUG:\n",
"\t Removed the identity node l1.inputnode from the graph.\n",
"181130-02:26:09,484 nipype.workflow DEBUG:\n",
"\t [Node] datasource - setting input subject_id = 001\n",
"181130-02:26:09,485 nipype.workflow DEBUG:\n",
"\t [Node] datasource - setting input task = emoregulate\n",
"181130-02:26:09,485 nipype.workflow DEBUG:\n",
"\t [Node] datasource - setting input model = testmodel\n",
"181130-02:26:09,486 nipype.workflow DEBUG:\n",
"\t [Node] datasource - setting input run = 2\n",
"181130-02:26:09,487 nipype.workflow DEBUG:\n",
"\t Removed the identity node l1.inputnode from the graph.\n",
"181130-02:26:09,488 nipype.workflow DEBUG:\n",
"\t [Node] datasource - setting input subject_id = 001\n",
"181130-02:26:09,489 nipype.workflow DEBUG:\n",
"\t [Node] datasource - setting input task = emoregulate\n",
"181130-02:26:09,489 nipype.workflow DEBUG:\n",
"\t [Node] datasource - setting input model = testmodel\n",
"181130-02:26:09,490 nipype.workflow DEBUG:\n",
"\t [Node] datasource - setting input run = 1\n",
"181130-02:26:09,491 nipype.workflow DEBUG:\n",
"\t Removed the identity node l1.inputnode from the graph.\n",
"181130-02:26:09,519 nipype.workflow DEBUG:\n",
"\t using input graph\n",
"181130-02:26:12,715 nipype.workflow DEBUG:\n",
"\t creating dot graph\n",
"181130-02:26:13,296 nipype.workflow INFO:\n",
"\t Generated workflow graph: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/graph_exec.png (graph2use=exec, simple_form=True).\n"
]
},
{
"data": {
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\n",
"text/plain": [
"<IPython.core.display.Image object>"
]
},
"execution_count": 18,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"level1_workflow.write_graph(graph2use='colored', format='png', simple_form=True)\n",
"level1_workflow.write_graph(graph2use='orig', dotfilename=opj(level1_workflow.base_dir, 'l1', 'graph_orig.dot'), format='png', simple_form=True)\n",
"level1_workflow.write_graph(graph2use='flat', dotfilename=opj(level1_workflow.base_dir, 'l1', 'graph_flat.dot'), format='png', simple_form=True)\n",
"level1_workflow.write_graph(graph2use='exec', dotfilename=opj(level1_workflow.base_dir, 'l1', 'graph_exec.dot'), format='png', simple_form=True)\n",
"\n",
"Image(filename=opj(level1_workflow.base_dir, 'l1', 'graph_exec.png'))"
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"181130-02:26:13,350 nipype.workflow DEBUG:\n",
"\t [MultiProc] Starting (n_procs=16, mem_gb=226.47, cwd=/gablab/p/ADHDER/data/adhder/code/analysis)\n",
"181130-02:26:13,355 nipype.workflow DEBUG:\n",
"\t Creating flat graph for workflow: l1\n",
"181130-02:26:13,369 nipype.workflow DEBUG:\n",
"\t expanding workflow: l1\n",
"181130-02:26:13,371 nipype.workflow DEBUG:\n",
"\t processing node: l1.inputnode\n",
"181130-02:26:13,372 nipype.workflow DEBUG:\n",
"\t processing node: l1.datasource\n",
"181130-02:26:13,373 nipype.workflow DEBUG:\n",
"\t processing node: l1.mask\n",
"181130-02:26:13,374 nipype.workflow DEBUG:\n",
"\t processing node: l1.model_param_gen\n",
"181130-02:26:13,375 nipype.workflow DEBUG:\n",
"\t processing node: l1.modelspec\n",
"181130-02:26:13,376 nipype.workflow DEBUG:\n",
"\t processing node: l1.level1design\n",
"181130-02:26:13,376 nipype.workflow DEBUG:\n",
"\t processing node: l1.feat_model_gen\n",
"181130-02:26:13,377 nipype.workflow DEBUG:\n",
"\t processing node: l1.modelestimate\n",
"181130-02:26:13,378 nipype.workflow DEBUG:\n",
"\t processing node: l1.pass_run_data\n",
"181130-02:26:13,379 nipype.workflow DEBUG:\n",
"\t processing node: l1.join_run_data\n",
"181130-02:26:13,380 nipype.workflow DEBUG:\n",
"\t processing node: l1.group_by_contrast\n",
"181130-02:26:13,381 nipype.workflow DEBUG:\n",
"\t processing node: l1.fixedfx\n",
"181130-02:26:13,382 nipype.workflow DEBUG:\n",
"\t in: connections-> [('copes_grouped_by_contrast', 'inputspec.copes'), ('varcopes_grouped_by_contrast', 'inputspec.varcopes')]\n",
"181130-02:26:13,382 nipype.workflow DEBUG:\n",
"\t in: ('copes_grouped_by_contrast', 'inputspec.copes')\n",
"181130-02:26:13,388 nipype.workflow DEBUG:\n",
"\t in edges: l1.group_by_contrast copes_grouped_by_contrast fixedfx.inputspec copes\n",
"181130-02:26:13,389 nipype.workflow DEBUG:\n",
"\t disconnect(): l1.group_by_contrast->l1.fixedfx [('copes_grouped_by_contrast', 'inputspec.copes')]\n",
"181130-02:26:13,390 nipype.workflow DEBUG:\n",
"\t disconnect(): remove list [('copes_grouped_by_contrast', 'inputspec.copes')]\n",
"181130-02:26:13,390 nipype.workflow DEBUG:\n",
"\t disconnect(): removed connection ('copes_grouped_by_contrast', 'inputspec.copes')\n",
"181130-02:26:13,391 nipype.workflow DEBUG:\n",
"\t (l1.group_by_contrast, fixedfx.inputspec): No edge data\n",
"181130-02:26:13,392 nipype.workflow DEBUG:\n",
"\t (l1.group_by_contrast, fixedfx.inputspec): new edge data: {'connect': [('copes_grouped_by_contrast', 'copes')]}\n",
"181130-02:26:13,393 nipype.workflow DEBUG:\n",
"\t in: ('varcopes_grouped_by_contrast', 'inputspec.varcopes')\n",
"181130-02:26:13,397 nipype.workflow DEBUG:\n",
"\t in edges: l1.group_by_contrast varcopes_grouped_by_contrast fixedfx.inputspec varcopes\n",
"181130-02:26:13,398 nipype.workflow DEBUG:\n",
"\t disconnect(): l1.group_by_contrast->l1.fixedfx [('varcopes_grouped_by_contrast', 'inputspec.varcopes')]\n",
"181130-02:26:13,399 nipype.workflow DEBUG:\n",
"\t disconnect(): remove list [('varcopes_grouped_by_contrast', 'inputspec.varcopes')]\n",
"181130-02:26:13,399 nipype.workflow DEBUG:\n",
"\t disconnect(): removed connection ('varcopes_grouped_by_contrast', 'inputspec.varcopes')\n",
"181130-02:26:13,400 nipype.workflow DEBUG:\n",
"\t (l1.group_by_contrast, fixedfx.inputspec): Edge data exists: {'connect': [('copes_grouped_by_contrast', 'copes')]}\n",
"181130-02:26:13,401 nipype.workflow DEBUG:\n",
"\t (l1.group_by_contrast, fixedfx.inputspec): new edge data: {'connect': [('copes_grouped_by_contrast', 'copes'), ('varcopes_grouped_by_contrast', 'varcopes')]}\n",
"181130-02:26:13,402 nipype.workflow DEBUG:\n",
"\t in: connections-> [(('masks', 'pickfirst = lambda x: x[0]\\n', ()), 'flameo.mask_file'), ('dof_files', 'inputspec.dof_files'), (('copes', 'num_copes = lambda x: len(x)\\n', ()), 'l2model.num_copes')]\n",
"181130-02:26:13,403 nipype.workflow DEBUG:\n",
"\t in: (('masks', 'pickfirst = lambda x: x[0]\\n', ()), 'flameo.mask_file')\n",
"181130-02:26:13,408 nipype.workflow DEBUG:\n",
"\t in edges: l1.join_run_data ('masks', 'pickfirst = lambda x: x[0]\\n', ()) fixedfx.flameo mask_file\n",
"181130-02:26:13,409 nipype.workflow DEBUG:\n",
"\t disconnect(): l1.join_run_data->l1.fixedfx [(('masks', 'pickfirst = lambda x: x[0]\\n', ()), 'flameo.mask_file')]\n",
"181130-02:26:13,409 nipype.workflow DEBUG:\n",
"\t disconnect(): remove list [(('masks', 'pickfirst = lambda x: x[0]\\n', ()), 'flameo.mask_file')]\n",
"181130-02:26:13,410 nipype.workflow DEBUG:\n",
"\t disconnect(): removed connection (('masks', 'pickfirst = lambda x: x[0]\\n', ()), 'flameo.mask_file')\n",
"181130-02:26:13,411 nipype.workflow DEBUG:\n",
"\t (l1.join_run_data, fixedfx.flameo): No edge data\n",
"181130-02:26:13,412 nipype.workflow DEBUG:\n",
"\t (l1.join_run_data, fixedfx.flameo): new edge data: {'connect': [(('masks', 'pickfirst = lambda x: x[0]\\n', ()), 'mask_file')]}\n",
"181130-02:26:13,413 nipype.workflow DEBUG:\n",
"\t in: ('dof_files', 'inputspec.dof_files')\n",
"181130-02:26:13,417 nipype.workflow DEBUG:\n",
"\t in edges: l1.join_run_data dof_files fixedfx.inputspec dof_files\n",
"181130-02:26:13,418 nipype.workflow DEBUG:\n",
"\t disconnect(): l1.join_run_data->l1.fixedfx [('dof_files', 'inputspec.dof_files')]\n",
"181130-02:26:13,418 nipype.workflow DEBUG:\n",
"\t disconnect(): remove list [('dof_files', 'inputspec.dof_files')]\n",
"181130-02:26:13,419 nipype.workflow DEBUG:\n",
"\t disconnect(): removed connection ('dof_files', 'inputspec.dof_files')\n",
"181130-02:26:13,420 nipype.workflow DEBUG:\n",
"\t (l1.join_run_data, fixedfx.inputspec): No edge data\n",
"181130-02:26:13,421 nipype.workflow DEBUG:\n",
"\t (l1.join_run_data, fixedfx.inputspec): new edge data: {'connect': [('dof_files', 'dof_files')]}\n",
"181130-02:26:13,421 nipype.workflow DEBUG:\n",
"\t in: (('copes', 'num_copes = lambda x: len(x)\\n', ()), 'l2model.num_copes')\n",
"181130-02:26:13,425 nipype.workflow DEBUG:\n",
"\t in edges: l1.join_run_data ('copes', 'num_copes = lambda x: len(x)\\n', ()) fixedfx.l2model num_copes\n",
"181130-02:26:13,426 nipype.workflow DEBUG:\n",
"\t disconnect(): l1.join_run_data->l1.fixedfx [(('copes', 'num_copes = lambda x: len(x)\\n', ()), 'l2model.num_copes')]\n",
"181130-02:26:13,427 nipype.workflow DEBUG:\n",
"\t disconnect(): remove list [(('copes', 'num_copes = lambda x: len(x)\\n', ()), 'l2model.num_copes')]\n",
"181130-02:26:13,428 nipype.workflow DEBUG:\n",
"\t disconnect(): removed connection (('copes', 'num_copes = lambda x: len(x)\\n', ()), 'l2model.num_copes')\n",
"181130-02:26:13,429 nipype.workflow DEBUG:\n",
"\t (l1.join_run_data, fixedfx.l2model): No edge data\n",
"181130-02:26:13,430 nipype.workflow DEBUG:\n",
"\t (l1.join_run_data, fixedfx.l2model): new edge data: {'connect': [(('copes', 'num_copes = lambda x: len(x)\\n', ()), 'num_copes')]}\n",
"181130-02:26:13,430 nipype.workflow DEBUG:\n",
"\t out: connections-> [('outputspec.res4d', 'flameo.@res4d'), ('outputspec.copes', 'flameo.@copes'), ('outputspec.varcopes', 'flameo.@varcopes'), ('outputspec.zstats', 'flameo.@zstats'), ('outputspec.tstats', 'flameo.@tstats')]\n",
"181130-02:26:13,431 nipype.workflow DEBUG:\n",
"\t out: ('outputspec.res4d', 'flameo.@res4d')\n",
"181130-02:26:13,437 nipype.workflow DEBUG:\n",
"\t out edges: fixedfx.outputspec res4d l1.datasink flameo.@res4d\n",
"181130-02:26:13,438 nipype.workflow DEBUG:\n",
"\t disconnect(): l1.fixedfx->l1.datasink [('outputspec.res4d', 'flameo.@res4d')]\n",
"181130-02:26:13,439 nipype.workflow DEBUG:\n",
"\t disconnect(): remove list [('outputspec.res4d', 'flameo.@res4d')]\n",
"181130-02:26:13,439 nipype.workflow DEBUG:\n",
"\t disconnect(): removed connection ('outputspec.res4d', 'flameo.@res4d')\n",
"181130-02:26:13,440 nipype.workflow DEBUG:\n",
"\t (fixedfx.outputspec, l1.datasink): No edge data\n",
"181130-02:26:13,441 nipype.workflow DEBUG:\n",
"\t (fixedfx.outputspec, l1.datasink): new edge data: {'connect': [('res4d', 'flameo.@res4d')]}\n",
"181130-02:26:13,441 nipype.workflow DEBUG:\n",
"\t out: ('outputspec.copes', 'flameo.@copes')\n",
"181130-02:26:13,448 nipype.workflow DEBUG:\n",
"\t out edges: fixedfx.outputspec copes l1.datasink flameo.@copes\n",
"181130-02:26:13,448 nipype.workflow DEBUG:\n",
"\t disconnect(): l1.fixedfx->l1.datasink [('outputspec.copes', 'flameo.@copes')]\n",
"181130-02:26:13,449 nipype.workflow DEBUG:\n",
"\t disconnect(): remove list [('outputspec.copes', 'flameo.@copes')]\n",
"181130-02:26:13,450 nipype.workflow DEBUG:\n",
"\t disconnect(): removed connection ('outputspec.copes', 'flameo.@copes')\n",
"181130-02:26:13,450 nipype.workflow DEBUG:\n",
"\t (fixedfx.outputspec, l1.datasink): Edge data exists: {'connect': [('res4d', 'flameo.@res4d')]}\n",
"181130-02:26:13,451 nipype.workflow DEBUG:\n",
"\t (fixedfx.outputspec, l1.datasink): new edge data: {'connect': [('res4d', 'flameo.@res4d'), ('copes', 'flameo.@copes')]}\n",
"181130-02:26:13,452 nipype.workflow DEBUG:\n",
"\t out: ('outputspec.varcopes', 'flameo.@varcopes')\n",
"181130-02:26:13,457 nipype.workflow DEBUG:\n",
"\t out edges: fixedfx.outputspec varcopes l1.datasink flameo.@varcopes\n",
"181130-02:26:13,458 nipype.workflow DEBUG:\n",
"\t disconnect(): l1.fixedfx->l1.datasink [('outputspec.varcopes', 'flameo.@varcopes')]\n",
"181130-02:26:13,459 nipype.workflow DEBUG:\n",
"\t disconnect(): remove list [('outputspec.varcopes', 'flameo.@varcopes')]\n",
"181130-02:26:13,459 nipype.workflow DEBUG:\n",
"\t disconnect(): removed connection ('outputspec.varcopes', 'flameo.@varcopes')\n",
"181130-02:26:13,460 nipype.workflow DEBUG:\n",
"\t (fixedfx.outputspec, l1.datasink): Edge data exists: {'connect': [('res4d', 'flameo.@res4d'), ('copes', 'flameo.@copes')]}\n",
"181130-02:26:13,461 nipype.workflow DEBUG:\n",
"\t (fixedfx.outputspec, l1.datasink): new edge data: {'connect': [('res4d', 'flameo.@res4d'), ('copes', 'flameo.@copes'), ('varcopes', 'flameo.@varcopes')]}\n",
"181130-02:26:13,461 nipype.workflow DEBUG:\n",
"\t out: ('outputspec.zstats', 'flameo.@zstats')\n",
"181130-02:26:13,467 nipype.workflow DEBUG:\n",
"\t out edges: fixedfx.outputspec zstats l1.datasink flameo.@zstats\n",
"181130-02:26:13,468 nipype.workflow DEBUG:\n",
"\t disconnect(): l1.fixedfx->l1.datasink [('outputspec.zstats', 'flameo.@zstats')]\n",
"181130-02:26:13,469 nipype.workflow DEBUG:\n",
"\t disconnect(): remove list [('outputspec.zstats', 'flameo.@zstats')]\n",
"181130-02:26:13,469 nipype.workflow DEBUG:\n",
"\t disconnect(): removed connection ('outputspec.zstats', 'flameo.@zstats')\n",
"181130-02:26:13,470 nipype.workflow DEBUG:\n",
"\t (fixedfx.outputspec, l1.datasink): Edge data exists: {'connect': [('res4d', 'flameo.@res4d'), ('copes', 'flameo.@copes'), ('varcopes', 'flameo.@varcopes')]}\n",
"181130-02:26:13,471 nipype.workflow DEBUG:\n",
"\t (fixedfx.outputspec, l1.datasink): new edge data: {'connect': [('res4d', 'flameo.@res4d'), ('copes', 'flameo.@copes'), ('varcopes', 'flameo.@varcopes'), ('zstats', 'flameo.@zstats')]}\n",
"181130-02:26:13,471 nipype.workflow DEBUG:\n",
"\t out: ('outputspec.tstats', 'flameo.@tstats')\n",
"181130-02:26:13,477 nipype.workflow DEBUG:\n",
"\t out edges: fixedfx.outputspec tstats l1.datasink flameo.@tstats\n",
"181130-02:26:13,478 nipype.workflow DEBUG:\n",
"\t disconnect(): l1.fixedfx->l1.datasink [('outputspec.tstats', 'flameo.@tstats')]\n",
"181130-02:26:13,479 nipype.workflow DEBUG:\n",
"\t disconnect(): remove list [('outputspec.tstats', 'flameo.@tstats')]\n",
"181130-02:26:13,479 nipype.workflow DEBUG:\n",
"\t disconnect(): removed connection ('outputspec.tstats', 'flameo.@tstats')\n",
"181130-02:26:13,480 nipype.workflow DEBUG:\n",
"\t (fixedfx.outputspec, l1.datasink): Edge data exists: {'connect': [('res4d', 'flameo.@res4d'), ('copes', 'flameo.@copes'), ('varcopes', 'flameo.@varcopes'), ('zstats', 'flameo.@zstats')]}\n",
"181130-02:26:13,481 nipype.workflow DEBUG:\n",
"\t (fixedfx.outputspec, l1.datasink): new edge data: {'connect': [('res4d', 'flameo.@res4d'), ('copes', 'flameo.@copes'), ('varcopes', 'flameo.@varcopes'), ('zstats', 'flameo.@zstats'), ('tstats', 'flameo.@tstats')]}\n",
"181130-02:26:13,481 nipype.workflow DEBUG:\n",
"\t expanding workflow: l1.fixedfx\n",
"181130-02:26:13,482 nipype.workflow DEBUG:\n",
"\t processing node: fixedfx.l2model\n",
"181130-02:26:13,483 nipype.workflow DEBUG:\n",
"\t processing node: fixedfx.inputspec\n",
"181130-02:26:13,483 nipype.workflow DEBUG:\n",
"\t processing node: fixedfx.varcopemerge\n",
"181130-02:26:13,484 nipype.workflow DEBUG:\n",
"\t processing node: fixedfx.copemerge\n",
"181130-02:26:13,485 nipype.workflow DEBUG:\n",
"\t processing node: fixedfx.gendofvolume\n",
"181130-02:26:13,485 nipype.workflow DEBUG:\n",
"\t processing node: fixedfx.flameo\n",
"181130-02:26:13,486 nipype.workflow DEBUG:\n",
"\t processing node: fixedfx.outputspec\n",
"181130-02:26:13,487 nipype.workflow DEBUG:\n",
"\t finished expanding workflow: l1.fixedfx\n",
"181130-02:26:13,488 nipype.workflow DEBUG:\n",
"\t processing node: l1.datasink\n",
"181130-02:26:13,489 nipype.workflow DEBUG:\n",
"\t finished expanding workflow: l1\n",
"181130-02:26:13,490 nipype.workflow INFO:\n",
"\t Workflow l1 settings: ['check', 'execution', 'logging', 'monitoring']\n",
"181130-02:26:13,503 nipype.workflow DEBUG:\n",
"\t PE: expanding iterables\n",
"181130-02:26:13,504 nipype.workflow DEBUG:\n",
"\t Removed the identity node l1.pass_run_data from the graph.\n",
"181130-02:26:13,505 nipype.workflow DEBUG:\n",
"\t Removed the identity node l1.fixedfx.inputspec from the graph.\n",
"181130-02:26:13,506 nipype.workflow DEBUG:\n",
"\t Removed the identity node l1.fixedfx.outputspec from the graph.\n",
"181130-02:26:13,508 nipype.workflow DEBUG:\n",
"\t Detected iterable nodes [l1.inputnode]\n",
"181130-02:26:13,509 nipype.workflow DEBUG:\n",
"\t Expanding the iterable node l1.inputnode...\n",
"181130-02:26:13,510 nipype.workflow DEBUG:\n",
"\t Excised the l1.datasource -> l1.join_run_data join node in-edge.\n",
"181130-02:26:13,510 nipype.workflow DEBUG:\n",
"\t Excised the l1.modelestimate -> l1.join_run_data join node in-edge.\n",
"181130-02:26:13,511 nipype.workflow DEBUG:\n",
"\t node: l1.inputnode iterables: {'run': <function _standardize_iterables.<locals>.make_field_func.<locals>.<lambda> at 0x2b4c84668ae8>}\n",
"181130-02:26:13,512 nipype.workflow DEBUG:\n",
"\t ('subnodes:', [l1.inputnode, l1.datasource, l1.model_param_gen, l1.modelspec, l1.level1design, l1.feat_model_gen, l1.modelestimate, l1.datasink, l1.mask])\n",
"181130-02:26:13,552 nipype.workflow DEBUG:\n",
"\t [Node] inputnode - setting input run = 1\n",
"181130-02:26:13,553 nipype.workflow DEBUG:\n",
"\t Parameterization: paramstr=_run_1\n",
"181130-02:26:13,559 nipype.workflow DEBUG:\n",
"\t [Node] inputnode - setting input run = 2\n",
"181130-02:26:13,559 nipype.workflow DEBUG:\n",
"\t Parameterization: paramstr=_run_2\n",
"181130-02:26:13,565 nipype.workflow DEBUG:\n",
"\t [Node] inputnode - setting input run = 3\n",
"181130-02:26:13,566 nipype.workflow DEBUG:\n",
"\t Parameterization: paramstr=_run_3\n",
"181130-02:26:13,571 nipype.workflow DEBUG:\n",
"\t [Node] inputnode - setting input run = 4\n",
"181130-02:26:13,572 nipype.workflow DEBUG:\n",
"\t Parameterization: paramstr=_run_4\n",
"181130-02:26:13,574 nipype.workflow DEBUG:\n",
"\t The join node l1.join_run_data input l1.datasource was expanded to 4 nodes.\n",
"181130-02:26:13,575 nipype.workflow DEBUG:\n",
"\t The join node l1.join_run_data input l1.modelestimate was expanded to 4 nodes.\n",
"181130-02:26:13,576 nipype.workflow DEBUG:\n",
"\t Added the l1.join_run_data join item fields {'masks': 'masksJ1', 'dof_files': 'dof_filesJ1', 'copes': 'copesJ1', 'varcopes': 'varcopesJ1'}.\n",
"181130-02:26:13,577 nipype.workflow DEBUG:\n",
"\t Added the l1.join_run_data join item fields {'masks': 'masksJ2', 'dof_files': 'dof_filesJ2', 'copes': 'copesJ2', 'varcopes': 'varcopesJ2'}.\n",
"181130-02:26:13,578 nipype.workflow DEBUG:\n",
"\t Added the l1.join_run_data join item fields {'masks': 'masksJ3', 'dof_files': 'dof_filesJ3', 'copes': 'copesJ3', 'varcopes': 'varcopesJ3'}.\n",
"181130-02:26:13,579 nipype.workflow DEBUG:\n",
"\t Added the l1.join_run_data join item fields {'masks': 'masksJ4', 'dof_files': 'dof_filesJ4', 'copes': 'copesJ4', 'varcopes': 'varcopesJ4'}.\n",
"181130-02:26:13,580 nipype.workflow DEBUG:\n",
"\t Qualified the l1.datasource -> l1.join_run_data join field masks as masksJ1.\n",
"181130-02:26:13,581 nipype.workflow DEBUG:\n",
"\t Connected the join node l1.join_run_data subgraph to the expanded join point l1.datasource\n",
"181130-02:26:13,582 nipype.workflow DEBUG:\n",
"\t Qualified the l1.datasource -> l1.join_run_data join field masks as masksJ2.\n",
"181130-02:26:13,583 nipype.workflow DEBUG:\n",
"\t Connected the join node l1.join_run_data subgraph to the expanded join point l1.datasource\n",
"181130-02:26:13,584 nipype.workflow DEBUG:\n",
"\t Qualified the l1.datasource -> l1.join_run_data join field masks as masksJ3.\n",
"181130-02:26:13,585 nipype.workflow DEBUG:\n",
"\t Connected the join node l1.join_run_data subgraph to the expanded join point l1.datasource\n",
"181130-02:26:13,586 nipype.workflow DEBUG:\n",
"\t Qualified the l1.datasource -> l1.join_run_data join field masks as masksJ4.\n",
"181130-02:26:13,586 nipype.workflow DEBUG:\n",
"\t Connected the join node l1.join_run_data subgraph to the expanded join point l1.datasource\n",
"181130-02:26:13,587 nipype.workflow DEBUG:\n",
"\t Qualified the l1.modelestimate -> l1.join_run_data join field dof_files as dof_filesJ1.\n",
"181130-02:26:13,588 nipype.workflow DEBUG:\n",
"\t Qualified the l1.modelestimate -> l1.join_run_data join field copes as copesJ1.\n",
"181130-02:26:13,589 nipype.workflow DEBUG:\n",
"\t Qualified the l1.modelestimate -> l1.join_run_data join field varcopes as varcopesJ1.\n",
"181130-02:26:13,590 nipype.workflow DEBUG:\n",
"\t Connected the join node l1.join_run_data subgraph to the expanded join point l1.modelestimate\n",
"181130-02:26:13,591 nipype.workflow DEBUG:\n",
"\t Qualified the l1.modelestimate -> l1.join_run_data join field dof_files as dof_filesJ2.\n",
"181130-02:26:13,592 nipype.workflow DEBUG:\n",
"\t Qualified the l1.modelestimate -> l1.join_run_data join field copes as copesJ2.\n",
"181130-02:26:13,593 nipype.workflow DEBUG:\n",
"\t Qualified the l1.modelestimate -> l1.join_run_data join field varcopes as varcopesJ2.\n",
"181130-02:26:13,593 nipype.workflow DEBUG:\n",
"\t Connected the join node l1.join_run_data subgraph to the expanded join point l1.modelestimate\n",
"181130-02:26:13,594 nipype.workflow DEBUG:\n",
"\t Qualified the l1.modelestimate -> l1.join_run_data join field dof_files as dof_filesJ3.\n",
"181130-02:26:13,595 nipype.workflow DEBUG:\n",
"\t Qualified the l1.modelestimate -> l1.join_run_data join field copes as copesJ3.\n",
"181130-02:26:13,596 nipype.workflow DEBUG:\n",
"\t Qualified the l1.modelestimate -> l1.join_run_data join field varcopes as varcopesJ3.\n",
"181130-02:26:13,597 nipype.workflow DEBUG:\n",
"\t Connected the join node l1.join_run_data subgraph to the expanded join point l1.modelestimate\n",
"181130-02:26:13,598 nipype.workflow DEBUG:\n",
"\t Qualified the l1.modelestimate -> l1.join_run_data join field dof_files as dof_filesJ4.\n",
"181130-02:26:13,599 nipype.workflow DEBUG:\n",
"\t Qualified the l1.modelestimate -> l1.join_run_data join field copes as copesJ4.\n",
"181130-02:26:13,599 nipype.workflow DEBUG:\n",
"\t Qualified the l1.modelestimate -> l1.join_run_data join field varcopes as varcopesJ4.\n",
"181130-02:26:13,600 nipype.workflow DEBUG:\n",
"\t Connected the join node l1.join_run_data subgraph to the expanded join point l1.modelestimate\n",
"181130-02:26:13,602 nipype.workflow DEBUG:\n",
"\t PE: expanding iterables ... done\n",
"181130-02:26:13,603 nipype.workflow DEBUG:\n",
"\t [Node] datasource - setting input subject_id = 001\n",
"181130-02:26:13,604 nipype.workflow DEBUG:\n",
"\t [Node] datasource - setting input task = emoregulate\n",
"181130-02:26:13,605 nipype.workflow DEBUG:\n",
"\t [Node] datasource - setting input model = testmodel\n",
"181130-02:26:13,605 nipype.workflow DEBUG:\n",
"\t [Node] datasource - setting input run = 4\n",
"181130-02:26:13,606 nipype.workflow DEBUG:\n",
"\t Removed the identity node l1.inputnode from the graph.\n",
"181130-02:26:13,607 nipype.workflow DEBUG:\n",
"\t [Node] datasource - setting input subject_id = 001\n",
"181130-02:26:13,608 nipype.workflow DEBUG:\n",
"\t [Node] datasource - setting input task = emoregulate\n",
"181130-02:26:13,609 nipype.workflow DEBUG:\n",
"\t [Node] datasource - setting input model = testmodel\n",
"181130-02:26:13,609 nipype.workflow DEBUG:\n",
"\t [Node] datasource - setting input run = 3\n",
"181130-02:26:13,610 nipype.workflow DEBUG:\n",
"\t Removed the identity node l1.inputnode from the graph.\n",
"181130-02:26:13,611 nipype.workflow DEBUG:\n",
"\t [Node] datasource - setting input subject_id = 001\n",
"181130-02:26:13,612 nipype.workflow DEBUG:\n",
"\t [Node] datasource - setting input task = emoregulate\n",
"181130-02:26:13,613 nipype.workflow DEBUG:\n",
"\t [Node] datasource - setting input model = testmodel\n",
"181130-02:26:13,613 nipype.workflow DEBUG:\n",
"\t [Node] datasource - setting input run = 2\n",
"181130-02:26:13,614 nipype.workflow DEBUG:\n",
"\t Removed the identity node l1.inputnode from the graph.\n",
"181130-02:26:13,615 nipype.workflow DEBUG:\n",
"\t [Node] datasource - setting input subject_id = 001\n",
"181130-02:26:13,616 nipype.workflow DEBUG:\n",
"\t [Node] datasource - setting input task = emoregulate\n",
"181130-02:26:13,617 nipype.workflow DEBUG:\n",
"\t [Node] datasource - setting input model = testmodel\n",
"181130-02:26:13,617 nipype.workflow DEBUG:\n",
"\t [Node] datasource - setting input run = 1\n",
"181130-02:26:13,618 nipype.workflow DEBUG:\n",
"\t Removed the identity node l1.inputnode from the graph.\n",
"181130-02:26:14,108 nipype.workflow DEBUG:\n",
"\t Performing depth first search\n",
"181130-02:26:14,188 nipype.workflow INFO:\n",
"\t Running in parallel.\n",
"181130-02:26:14,194 nipype.workflow DEBUG:\n",
"\t Progress: 39 jobs, 0/0/4 (done/running/ready), 0/39 (pending_tasks/waiting).\n",
"181130-02:26:14,196 nipype.workflow DEBUG:\n",
"\t Tasks currently running: 0. Pending: 0.\n",
"181130-02:26:14,198 nipype.workflow INFO:\n",
"\t [MultiProc] Running 0 tasks, and 4 jobs ready. Free memory (GB): 226.47/226.47, Free processors: 16/16.\n",
"181130-02:26:14,264 nipype.workflow DEBUG:\n",
"\t Allocating l1.datasource ID=0 (0.20GB, 1 threads). Free: 226.27GB, 15 threads.\n",
"181130-02:26:14,266 nipype.workflow DEBUG:\n",
"\t Setting node inputs\n",
"181130-02:26:14,279 nipype.workflow DEBUG:\n",
"\t [Node] Hashes: [('base_directory', '/gablab/p/ADHDER/data/adhder'), ('drop_blank_outputs', False), ('field_template', [('confounds_file', 'derivatives/fmriprep/sub-%s/func/sub-%s_task-%s_*_run-%03d_desc-confounds_regressors.tsv'), ('events_file', 'bids/sub-%s/func/sub-%s_task-%s_*_run-%03d_events.tsv'), ('func', 'derivatives/fmriprep/sub-%s/func/sub-%s_task-%s_*_run-%03d_space-MNI152NLin2009cAsym_desc-preproc_bold.nii.gz'), ('mask', 'derivatives/fmriprep/sub-%s/func/sub-%s_task-%s_*_run-%03d_space-MNI152NLin2009cAsym_desc-brain_mask.nii.gz'), ('struct', 'derivatives/fmriprep/sub-%s/anat/sub-%s_space-MNI152NLin2009cAsym_desc-preproc_T1w.nii.gz')]), ('model', 'testmodel'), ('raise_on_empty', True), ('run', 4), ('sort_filelist', True), ('subject_id', '001'), ('task', 'emoregulate'), ('template', '*'), ('template_args', [('confounds_file', [['subject_id', 'subject_id', 'task', 'run']]), ('events_file', [['subject_id', 'subject_id', 'task', 'run']]), ('func', [['subject_id', 'subject_id', 'task', 'run']]), ('mask', [['subject_id', 'subject_id', 'task', 'run']]), ('struct', [['subject_id', 'subject_id']])])], 33cf61756b866b8cdd5c2af9c6b9e53e, /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/datasource/_0x33cf61756b866b8cdd5c2af9c6b9e53e.json, []\n",
"181130-02:26:14,280 nipype.workflow DEBUG:\n",
"\t [Node] No hashfiles found in \"/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/datasource\".\n",
"181130-02:26:14,281 nipype.workflow DEBUG:\n",
"\t Checking hash \"l1.datasource\" locally: cached=False, updated=False.\n",
"181130-02:26:14,359 nipype.workflow DEBUG:\n",
"\t [MultiProc] Submitted task l1.datasource (taskid=1).\n",
"181130-02:26:14,361 nipype.workflow DEBUG:\n",
"\t Allocating l1.datasource ID=7 (0.20GB, 1 threads). Free: 226.07GB, 14 threads.\n",
"181130-02:26:14,365 nipype.workflow DEBUG:\n",
"\t Setting node inputs\n",
"181130-02:26:14,367 nipype.workflow INFO:\n",
"\t [Node] Setting-up \"l1.datasource\" in \"/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/datasource\".\n",
"181130-02:26:14,374 nipype.workflow DEBUG:\n",
"\t [Node] Hashes: [('base_directory', '/gablab/p/ADHDER/data/adhder'), ('drop_blank_outputs', False), ('field_template', [('confounds_file', 'derivatives/fmriprep/sub-%s/func/sub-%s_task-%s_*_run-%03d_desc-confounds_regressors.tsv'), ('events_file', 'bids/sub-%s/func/sub-%s_task-%s_*_run-%03d_events.tsv'), ('func', 'derivatives/fmriprep/sub-%s/func/sub-%s_task-%s_*_run-%03d_space-MNI152NLin2009cAsym_desc-preproc_bold.nii.gz'), ('mask', 'derivatives/fmriprep/sub-%s/func/sub-%s_task-%s_*_run-%03d_space-MNI152NLin2009cAsym_desc-brain_mask.nii.gz'), ('struct', 'derivatives/fmriprep/sub-%s/anat/sub-%s_space-MNI152NLin2009cAsym_desc-preproc_T1w.nii.gz')]), ('model', 'testmodel'), ('raise_on_empty', True), ('run', 4), ('sort_filelist', True), ('subject_id', '001'), ('task', 'emoregulate'), ('template', '*'), ('template_args', [('confounds_file', [['subject_id', 'subject_id', 'task', 'run']]), ('events_file', [['subject_id', 'subject_id', 'task', 'run']]), ('func', [['subject_id', 'subject_id', 'task', 'run']]), ('mask', [['subject_id', 'subject_id', 'task', 'run']]), ('struct', [['subject_id', 'subject_id']])])], 33cf61756b866b8cdd5c2af9c6b9e53e, /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/datasource/_0x33cf61756b866b8cdd5c2af9c6b9e53e.json, []\n",
"181130-02:26:14,378 nipype.workflow DEBUG:\n",
"\t [Node] Hashes: [('base_directory', '/gablab/p/ADHDER/data/adhder'), ('drop_blank_outputs', False), ('field_template', [('confounds_file', 'derivatives/fmriprep/sub-%s/func/sub-%s_task-%s_*_run-%03d_desc-confounds_regressors.tsv'), ('events_file', 'bids/sub-%s/func/sub-%s_task-%s_*_run-%03d_events.tsv'), ('func', 'derivatives/fmriprep/sub-%s/func/sub-%s_task-%s_*_run-%03d_space-MNI152NLin2009cAsym_desc-preproc_bold.nii.gz'), ('mask', 'derivatives/fmriprep/sub-%s/func/sub-%s_task-%s_*_run-%03d_space-MNI152NLin2009cAsym_desc-brain_mask.nii.gz'), ('struct', 'derivatives/fmriprep/sub-%s/anat/sub-%s_space-MNI152NLin2009cAsym_desc-preproc_T1w.nii.gz')]), ('model', 'testmodel'), ('raise_on_empty', True), ('run', 3), ('sort_filelist', True), ('subject_id', '001'), ('task', 'emoregulate'), ('template', '*'), ('template_args', [('confounds_file', [['subject_id', 'subject_id', 'task', 'run']]), ('events_file', [['subject_id', 'subject_id', 'task', 'run']]), ('func', [['subject_id', 'subject_id', 'task', 'run']]), ('mask', [['subject_id', 'subject_id', 'task', 'run']]), ('struct', [['subject_id', 'subject_id']])])], 0df99e81f626f12bce16217ad72818ff, /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/datasource/_0x0df99e81f626f12bce16217ad72818ff.json, []\n",
"181130-02:26:14,379 nipype.workflow DEBUG:\n",
"\t [Node] No hashfiles found in \"/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/datasource\".\n",
"181130-02:26:14,378 nipype.workflow DEBUG:\n",
"\t [Node] No hashfiles found in \"/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/datasource\".181130-02:26:14,380 nipype.workflow DEBUG:\n",
"\t Checking hash \"l1.datasource\" locally: cached=False, updated=False.\n",
"\n",
"181130-02:26:14,383 nipype.workflow DEBUG:\n",
"\t [MultiProc] Submitted task l1.datasource (taskid=2).\n",
"181130-02:26:14,381 nipype.utils DEBUG:\n",
"\t Removing contents of /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/datasource181130-02:26:14,385 nipype.workflow DEBUG:\n",
"\t Allocating l1.datasource ID=14 (0.20GB, 1 threads). Free: 225.87GB, 13 threads.\n",
"\n",
"181130-02:26:14,386 nipype.workflow DEBUG:\n",
"\t Setting node inputs\n",
"181130-02:26:14,386 nipype.workflow INFO:\n",
"\t [Node] Setting-up \"l1.datasource\" in \"/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/datasource\".\n",
"181130-02:26:14,393 nipype.workflow DEBUG:\n",
"\t [Node] Hashes: [('base_directory', '/gablab/p/ADHDER/data/adhder'), ('drop_blank_outputs', False), ('field_template', [('confounds_file', 'derivatives/fmriprep/sub-%s/func/sub-%s_task-%s_*_run-%03d_desc-confounds_regressors.tsv'), ('events_file', 'bids/sub-%s/func/sub-%s_task-%s_*_run-%03d_events.tsv'), ('func', 'derivatives/fmriprep/sub-%s/func/sub-%s_task-%s_*_run-%03d_space-MNI152NLin2009cAsym_desc-preproc_bold.nii.gz'), ('mask', 'derivatives/fmriprep/sub-%s/func/sub-%s_task-%s_*_run-%03d_space-MNI152NLin2009cAsym_desc-brain_mask.nii.gz'), ('struct', 'derivatives/fmriprep/sub-%s/anat/sub-%s_space-MNI152NLin2009cAsym_desc-preproc_T1w.nii.gz')]), ('model', 'testmodel'), ('raise_on_empty', True), ('run', 3), ('sort_filelist', True), ('subject_id', '001'), ('task', 'emoregulate'), ('template', '*'), ('template_args', [('confounds_file', [['subject_id', 'subject_id', 'task', 'run']]), ('events_file', [['subject_id', 'subject_id', 'task', 'run']]), ('func', [['subject_id', 'subject_id', 'task', 'run']]), ('mask', [['subject_id', 'subject_id', 'task', 'run']]), ('struct', [['subject_id', 'subject_id']])])], 0df99e81f626f12bce16217ad72818ff, /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/datasource/_0x0df99e81f626f12bce16217ad72818ff.json, []\n",
"181130-02:26:14,395 nipype.workflow DEBUG:\n",
"\t [Node] No hashfiles found in \"/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/datasource\".\n",
"181130-02:26:14,397 nipype.utils DEBUG:\n",
"\t Removing contents of /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/datasource181130-02:26:14,398 nipype.workflow DEBUG:\n",
"\t [Node] Hashes: [('base_directory', '/gablab/p/ADHDER/data/adhder'), ('drop_blank_outputs', False), ('field_template', [('confounds_file', 'derivatives/fmriprep/sub-%s/func/sub-%s_task-%s_*_run-%03d_desc-confounds_regressors.tsv'), ('events_file', 'bids/sub-%s/func/sub-%s_task-%s_*_run-%03d_events.tsv'), ('func', 'derivatives/fmriprep/sub-%s/func/sub-%s_task-%s_*_run-%03d_space-MNI152NLin2009cAsym_desc-preproc_bold.nii.gz'), ('mask', 'derivatives/fmriprep/sub-%s/func/sub-%s_task-%s_*_run-%03d_space-MNI152NLin2009cAsym_desc-brain_mask.nii.gz'), ('struct', 'derivatives/fmriprep/sub-%s/anat/sub-%s_space-MNI152NLin2009cAsym_desc-preproc_T1w.nii.gz')]), ('model', 'testmodel'), ('raise_on_empty', True), ('run', 2), ('sort_filelist', True), ('subject_id', '001'), ('task', 'emoregulate'), ('template', '*'), ('template_args', [('confounds_file', [['subject_id', 'subject_id', 'task', 'run']]), ('events_file', [['subject_id', 'subject_id', 'task', 'run']]), ('func', [['subject_id', 'subject_id', 'task', 'run']]), ('mask', [['subject_id', 'subject_id', 'task', 'run']]), ('struct', [['subject_id', 'subject_id']])])], 2efc46603e612f7167742c91b8f3085a, /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/datasource/_0x2efc46603e612f7167742c91b8f3085a.json, []\n",
"181130-02:26:14,399 nipype.workflow DEBUG:\n",
"\t [Node] No hashfiles found in \"/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/datasource\".\n",
"\n",
"181130-02:26:14,399 nipype.workflow DEBUG:\n",
"\t Checking hash \"l1.datasource\" locally: cached=False, updated=False.\n",
"181130-02:26:14,402 nipype.workflow DEBUG:\n",
"\t [MultiProc] Submitted task l1.datasource (taskid=3).\n",
"181130-02:26:14,404 nipype.workflow DEBUG:\n",
"\t Allocating l1.datasource ID=21 (0.20GB, 1 threads). Free: 225.67GB, 12 threads.\n",
"181130-02:26:14,405 nipype.workflow DEBUG:\n",
"\t Setting node inputs\n",
"181130-02:26:14,405 nipype.workflow INFO:\n",
"\t [Node] Setting-up \"l1.datasource\" in \"/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/datasource\".\n",
"181130-02:26:14,413 nipype.workflow DEBUG:\n",
"\t [Node] Hashes: [('base_directory', '/gablab/p/ADHDER/data/adhder'), ('drop_blank_outputs', False), ('field_template', [('confounds_file', 'derivatives/fmriprep/sub-%s/func/sub-%s_task-%s_*_run-%03d_desc-confounds_regressors.tsv'), ('events_file', 'bids/sub-%s/func/sub-%s_task-%s_*_run-%03d_events.tsv'), ('func', 'derivatives/fmriprep/sub-%s/func/sub-%s_task-%s_*_run-%03d_space-MNI152NLin2009cAsym_desc-preproc_bold.nii.gz'), ('mask', 'derivatives/fmriprep/sub-%s/func/sub-%s_task-%s_*_run-%03d_space-MNI152NLin2009cAsym_desc-brain_mask.nii.gz'), ('struct', 'derivatives/fmriprep/sub-%s/anat/sub-%s_space-MNI152NLin2009cAsym_desc-preproc_T1w.nii.gz')]), ('model', 'testmodel'), ('raise_on_empty', True), ('run', 2), ('sort_filelist', True), ('subject_id', '001'), ('task', 'emoregulate'), ('template', '*'), ('template_args', [('confounds_file', [['subject_id', 'subject_id', 'task', 'run']]), ('events_file', [['subject_id', 'subject_id', 'task', 'run']]), ('func', [['subject_id', 'subject_id', 'task', 'run']]), ('mask', [['subject_id', 'subject_id', 'task', 'run']]), ('struct', [['subject_id', 'subject_id']])])], 2efc46603e612f7167742c91b8f3085a, /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/datasource/_0x2efc46603e612f7167742c91b8f3085a.json, []\n",
"181130-02:26:14,417 nipype.workflow DEBUG:\n",
"\t [Node] Hashes: [('base_directory', '/gablab/p/ADHDER/data/adhder'), ('drop_blank_outputs', False), ('field_template', [('confounds_file', 'derivatives/fmriprep/sub-%s/func/sub-%s_task-%s_*_run-%03d_desc-confounds_regressors.tsv'), ('events_file', 'bids/sub-%s/func/sub-%s_task-%s_*_run-%03d_events.tsv'), ('func', 'derivatives/fmriprep/sub-%s/func/sub-%s_task-%s_*_run-%03d_space-MNI152NLin2009cAsym_desc-preproc_bold.nii.gz'), ('mask', 'derivatives/fmriprep/sub-%s/func/sub-%s_task-%s_*_run-%03d_space-MNI152NLin2009cAsym_desc-brain_mask.nii.gz'), ('struct', 'derivatives/fmriprep/sub-%s/anat/sub-%s_space-MNI152NLin2009cAsym_desc-preproc_T1w.nii.gz')]), ('model', 'testmodel'), ('raise_on_empty', True), ('run', 1), ('sort_filelist', True), ('subject_id', '001'), ('task', 'emoregulate'), ('template', '*'), ('template_args', [('confounds_file', [['subject_id', 'subject_id', 'task', 'run']]), ('events_file', [['subject_id', 'subject_id', 'task', 'run']]), ('func', [['subject_id', 'subject_id', 'task', 'run']]), ('mask', [['subject_id', 'subject_id', 'task', 'run']]), ('struct', [['subject_id', 'subject_id']])])], 88d6f0492b41806e2806d806200331b5, /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_1/datasource/_0x88d6f0492b41806e2806d806200331b5.json, []\n",
"181130-02:26:14,418 nipype.workflow DEBUG:\n",
"\t [Node] No hashfiles found in \"/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_1/datasource\".\n",
"181130-02:26:14,416 nipype.workflow DEBUG:\n",
"\t [Node] No hashfiles found in \"/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/datasource\".181130-02:26:14,418 nipype.workflow DEBUG:\n",
"\t Checking hash \"l1.datasource\" locally: cached=False, updated=False.\n",
"\n",
"181130-02:26:14,420 nipype.workflow DEBUG:\n",
"\t [MultiProc] Submitted task l1.datasource (taskid=4).\n",
"181130-02:26:14,419 nipype.utils DEBUG:\n",
"\t Removing contents of /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/datasource\n",
"181130-02:26:14,423 nipype.workflow INFO:\n",
"\t [Node] Setting-up \"l1.datasource\" in \"/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_1/datasource\".\n",
"181130-02:26:14,430 nipype.workflow DEBUG:\n",
"\t [Node] Hashes: [('base_directory', '/gablab/p/ADHDER/data/adhder'), ('drop_blank_outputs', False), ('field_template', [('confounds_file', 'derivatives/fmriprep/sub-%s/func/sub-%s_task-%s_*_run-%03d_desc-confounds_regressors.tsv'), ('events_file', 'bids/sub-%s/func/sub-%s_task-%s_*_run-%03d_events.tsv'), ('func', 'derivatives/fmriprep/sub-%s/func/sub-%s_task-%s_*_run-%03d_space-MNI152NLin2009cAsym_desc-preproc_bold.nii.gz'), ('mask', 'derivatives/fmriprep/sub-%s/func/sub-%s_task-%s_*_run-%03d_space-MNI152NLin2009cAsym_desc-brain_mask.nii.gz'), ('struct', 'derivatives/fmriprep/sub-%s/anat/sub-%s_space-MNI152NLin2009cAsym_desc-preproc_T1w.nii.gz')]), ('model', 'testmodel'), ('raise_on_empty', True), ('run', 1), ('sort_filelist', True), ('subject_id', '001'), ('task', 'emoregulate'), ('template', '*'), ('template_args', [('confounds_file', [['subject_id', 'subject_id', 'task', 'run']]), ('events_file', [['subject_id', 'subject_id', 'task', 'run']]), ('func', [['subject_id', 'subject_id', 'task', 'run']]), ('mask', [['subject_id', 'subject_id', 'task', 'run']]), ('struct', [['subject_id', 'subject_id']])])], 88d6f0492b41806e2806d806200331b5, /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_1/datasource/_0x88d6f0492b41806e2806d806200331b5.json, []\n",
"181130-02:26:14,431 nipype.utils DEBUG:\n",
"\t Creating directory /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/datasource/_report\n",
"181130-02:26:14,432 nipype.workflow DEBUG:\n",
"\t [Node] No hashfiles found in \"/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_1/datasource\".\n",
"181130-02:26:14,434 nipype.utils DEBUG:\n",
"\t Removing contents of /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_1/datasource\n",
"181130-02:26:14,436 nipype.workflow DEBUG:\n",
"\t [Node] Writing pre-exec report to \"/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/datasource/_report/report.rst\"\n",
"181130-02:26:14,444 nipype.utils DEBUG:\n",
"\t Creating directory /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/datasource/_report\n",
"181130-02:26:14,449 nipype.workflow DEBUG:\n",
"\t [Node] Writing pre-exec report to \"/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/datasource/_report/report.rst\"\n",
"181130-02:26:14,464 nipype.utils DEBUG:\n",
"\t Creating directory /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/datasource/_report\n",
"181130-02:26:14,469 nipype.workflow INFO:\n",
"\t [Node] Running \"datasource\" (\"nipype.interfaces.io.DataGrabber\")181130-02:26:14,469 nipype.workflow DEBUG:\n",
"\t [Node] Writing pre-exec report to \"/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/datasource/_report/report.rst\"\n",
"\n",
"181130-02:26:14,479 nipype.utils DEBUG:\n",
"\t Creating directory /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_1/datasource/_report\n",
"181130-02:26:14,483 nipype.workflow INFO:\n",
"\t [Node] Running \"datasource\" (\"nipype.interfaces.io.DataGrabber\")\n",
"181130-02:26:14,484 nipype.workflow DEBUG:\n",
"\t [Node] Writing pre-exec report to \"/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_1/datasource/_report/report.rst\"\n",
"181130-02:26:14,503 nipype.workflow INFO:\n",
"\t [Node] Running \"datasource\" (\"nipype.interfaces.io.DataGrabber\")\n",
"181130-02:26:14,518 nipype.workflow INFO:\n",
"\t [Node] Running \"datasource\" (\"nipype.interfaces.io.DataGrabber\")\n",
"181130-02:26:14,546 nipype.workflow DEBUG:\n",
"\t Needed files: /gablab/p/ADHDER/data/adhder/derivatives/fmriprep/sub-001/anat/sub-001_space-MNI152NLin2009cAsym_desc-preproc_T1w.nii.gz;/gablab/p/ADHDER/data/adhder/derivatives/fmriprep/sub-001/func/sub-001_task-emoregulate_rec-acqrun012_run-004_space-MNI152NLin2009cAsym_desc-preproc_bold.nii.gz;/gablab/p/ADHDER/data/adhder/derivatives/fmriprep/sub-001/func/sub-001_task-emoregulate_rec-acqrun012_run-004_space-MNI152NLin2009cAsym_desc-brain_mask.nii.gz;/gablab/p/ADHDER/data/adhder/derivatives/fmriprep/sub-001/func/sub-001_task-emoregulate_rec-acqrun012_run-004_desc-confounds_regressors.tsv;/gablab/p/ADHDER/data/adhder/bids/sub-001/func/sub-001_task-emoregulate_rec-acqrun012_run-004_events.tsv;/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/datasource/_0x33cf61756b866b8cdd5c2af9c6b9e53e_unfinished.json;/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/datasource/_inputs.pklz;/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/datasource/_node.pklz\n",
"181130-02:26:14,548 nipype.workflow DEBUG:\n",
"\t Needed files: /gablab/p/ADHDER/data/adhder/derivatives/fmriprep/sub-001/anat/sub-001_space-MNI152NLin2009cAsym_desc-preproc_T1w.nii.gz;/gablab/p/ADHDER/data/adhder/derivatives/fmriprep/sub-001/func/sub-001_task-emoregulate_rec-acqrun011_run-003_space-MNI152NLin2009cAsym_desc-preproc_bold.nii.gz;/gablab/p/ADHDER/data/adhder/derivatives/fmriprep/sub-001/func/sub-001_task-emoregulate_rec-acqrun011_run-003_space-MNI152NLin2009cAsym_desc-brain_mask.nii.gz;/gablab/p/ADHDER/data/adhder/derivatives/fmriprep/sub-001/func/sub-001_task-emoregulate_rec-acqrun011_run-003_desc-confounds_regressors.tsv;/gablab/p/ADHDER/data/adhder/bids/sub-001/func/sub-001_task-emoregulate_rec-acqrun011_run-003_events.tsv;/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/datasource/_0x0df99e81f626f12bce16217ad72818ff_unfinished.json;/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/datasource/_inputs.pklz;/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/datasource/_node.pklz181130-02:26:14,549 nipype.workflow DEBUG:\n",
"\t Needed dirs: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/datasource/_report\n",
"\n",
"181130-02:26:14,550 nipype.workflow DEBUG:\n",
"\t Needed dirs: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/datasource/_report181130-02:26:14,551 nipype.workflow DEBUG:\n",
"\t Removing files: \n",
"181130-02:26:14,552 nipype.workflow DEBUG:\n",
"\t Removing files: \n",
"\n",
"181130-02:26:14,563 nipype.workflow DEBUG:\n",
"\t saved results in /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/datasource/result_datasource.pklz181130-02:26:14,563 nipype.workflow DEBUG:\n",
"\t saved results in /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/datasource/result_datasource.pklz\n",
"\n",
"181130-02:26:14,570 nipype.workflow DEBUG:\n",
"\t [Node] Writing post-exec report to \"/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/datasource/_report/report.rst\"\n",
"181130-02:26:14,571 nipype.workflow DEBUG:\n",
"\t Needed files: /gablab/p/ADHDER/data/adhder/derivatives/fmriprep/sub-001/anat/sub-001_space-MNI152NLin2009cAsym_desc-preproc_T1w.nii.gz;/gablab/p/ADHDER/data/adhder/derivatives/fmriprep/sub-001/func/sub-001_task-emoregulate_rec-acqrun010_run-002_space-MNI152NLin2009cAsym_desc-preproc_bold.nii.gz;/gablab/p/ADHDER/data/adhder/derivatives/fmriprep/sub-001/func/sub-001_task-emoregulate_rec-acqrun010_run-002_space-MNI152NLin2009cAsym_desc-brain_mask.nii.gz;/gablab/p/ADHDER/data/adhder/derivatives/fmriprep/sub-001/func/sub-001_task-emoregulate_rec-acqrun010_run-002_desc-confounds_regressors.tsv;/gablab/p/ADHDER/data/adhder/bids/sub-001/func/sub-001_task-emoregulate_rec-acqrun010_run-002_events.tsv;/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/datasource/_0x2efc46603e612f7167742c91b8f3085a_unfinished.json;/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/datasource/_inputs.pklz;/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/datasource/_node.pklz\n",
"181130-02:26:14,573 nipype.workflow DEBUG:\n",
"\t Needed dirs: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/datasource/_report\n",
"181130-02:26:14,575 nipype.workflow DEBUG:\n",
"\t [Node] Writing post-exec report to \"/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/datasource/_report/report.rst\"\n",
"181130-02:26:14,576 nipype.workflow DEBUG:\n",
"\t Removing files: \n",
"181130-02:26:14,579 nipype.workflow DEBUG:\n",
"\t Needed files: /gablab/p/ADHDER/data/adhder/derivatives/fmriprep/sub-001/anat/sub-001_space-MNI152NLin2009cAsym_desc-preproc_T1w.nii.gz;/gablab/p/ADHDER/data/adhder/derivatives/fmriprep/sub-001/func/sub-001_task-emoregulate_rec-acqrun009_run-001_space-MNI152NLin2009cAsym_desc-preproc_bold.nii.gz;/gablab/p/ADHDER/data/adhder/derivatives/fmriprep/sub-001/func/sub-001_task-emoregulate_rec-acqrun009_run-001_space-MNI152NLin2009cAsym_desc-brain_mask.nii.gz;/gablab/p/ADHDER/data/adhder/derivatives/fmriprep/sub-001/func/sub-001_task-emoregulate_rec-acqrun009_run-001_desc-confounds_regressors.tsv;/gablab/p/ADHDER/data/adhder/bids/sub-001/func/sub-001_task-emoregulate_rec-acqrun009_run-001_events.tsv;/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_1/datasource/_0x88d6f0492b41806e2806d806200331b5_unfinished.json;/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_1/datasource/_inputs.pklz;/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_1/datasource/_node.pklz\n",
"181130-02:26:14,581 nipype.workflow DEBUG:\n",
"\t Needed dirs: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_1/datasource/_report\n",
"181130-02:26:14,579 nipype.workflow DEBUG:\n",
"\t Aggregate: False181130-02:26:14,582 nipype.workflow DEBUG:\n",
"\t Removing files: \n",
"\n",
"181130-02:26:14,583 nipype.workflow DEBUG:\n",
"\t Aggregate: False\n",
"181130-02:26:14,588 nipype.workflow DEBUG:\n",
"\t saved results in /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/datasource/result_datasource.pklz\n",
"181130-02:26:14,593 nipype.workflow INFO:\n",
"\t [Node] Finished \"l1.datasource\".181130-02:26:14,593 nipype.workflow DEBUG:\n",
"\t saved results in /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_1/datasource/result_datasource.pklz\n",
"\n",
"181130-02:26:14,595 nipype.workflow INFO:\n",
"\t [Node] Finished \"l1.datasource\".\n",
"181130-02:26:14,596 nipype.workflow DEBUG:\n",
"\t [Node] Writing post-exec report to \"/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/datasource/_report/report.rst\"\n",
"181130-02:26:14,600 nipype.workflow DEBUG:\n",
"\t [Node] Writing post-exec report to \"/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_1/datasource/_report/report.rst\"\n",
"181130-02:26:14,604 nipype.workflow DEBUG:\n",
"\t Aggregate: False\n",
"181130-02:26:14,608 nipype.workflow DEBUG:\n",
"\t Aggregate: False\n",
"181130-02:26:14,615 nipype.workflow INFO:\n",
"\t [Node] Finished \"l1.datasource\".\n",
"181130-02:26:14,619 nipype.workflow INFO:\n",
"\t [Node] Finished \"l1.datasource\".\n",
"181130-02:26:16,197 nipype.workflow DEBUG:\n",
"\t Progress: 39 jobs, 0/4/0 (done/running/ready), 4/35 (pending_tasks/waiting).\n",
"181130-02:26:16,199 nipype.workflow INFO:\n",
"\t [Job 0] Completed (l1.datasource).\n",
"181130-02:26:16,202 nipype.workflow INFO:\n",
"\t [Job 7] Completed (l1.datasource).\n",
"181130-02:26:16,206 nipype.workflow INFO:\n",
"\t [Job 14] Completed (l1.datasource).\n",
"181130-02:26:16,209 nipype.workflow INFO:\n",
"\t [Job 21] Completed (l1.datasource).\n",
"181130-02:26:16,211 nipype.workflow DEBUG:\n",
"\t Tasks currently running: 0. Pending: 0.\n",
"181130-02:26:16,214 nipype.workflow INFO:\n",
"\t [MultiProc] Running 0 tasks, and 8 jobs ready. Free memory (GB): 226.47/226.47, Free processors: 16/16.\n",
"181130-02:26:16,326 nipype.workflow DEBUG:\n",
"\t Allocating l1.mask ID=1 (0.20GB, 1 threads). Free: 226.27GB, 15 threads.\n",
"181130-02:26:16,327 nipype.workflow DEBUG:\n",
"\t Setting node inputs\n",
"181130-02:26:16,328 nipype.workflow DEBUG:\n",
"\t input: mask_file\n",
"181130-02:26:16,329 nipype.workflow DEBUG:\n",
"\t results file: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/datasource/result_datasource.pklz\n",
"181130-02:26:16,329 nipype.utils DEBUG:\n",
"\t Loading pkl: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/datasource/result_datasource.pklz\n",
"181130-02:26:16,334 nipype.workflow DEBUG:\n",
"\t output: mask\n",
"181130-02:26:16,335 nipype.workflow DEBUG:\n",
"\t [Node] mask - setting input mask_file = /gablab/p/ADHDER/data/adhder/derivatives/fmriprep/sub-001/func/sub-001_task-emoregulate_rec-acqrun012_run-004_space-MNI152NLin2009cAsym_desc-brain_mask.nii.gz\n",
"181130-02:26:16,336 nipype.workflow DEBUG:\n",
"\t input: in_file\n",
"181130-02:26:16,337 nipype.workflow DEBUG:\n",
"\t results file: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/datasource/result_datasource.pklz\n",
"181130-02:26:16,338 nipype.utils DEBUG:\n",
"\t Loading pkl: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/datasource/result_datasource.pklz\n",
"181130-02:26:16,343 nipype.workflow DEBUG:\n",
"\t output: func\n",
"181130-02:26:16,343 nipype.workflow DEBUG:\n",
"\t [Node] mask - setting input in_file = /gablab/p/ADHDER/data/adhder/derivatives/fmriprep/sub-001/func/sub-001_task-emoregulate_rec-acqrun012_run-004_space-MNI152NLin2009cAsym_desc-preproc_bold.nii.gz\n",
"181130-02:26:16,346 nipype.workflow DEBUG:\n",
"\t [Node] Directory not found \"/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/mask\".\n",
"181130-02:26:16,346 nipype.workflow DEBUG:\n",
"\t Checking hash \"l1.mask\" locally: cached=False, updated=False.\n",
"181130-02:26:16,348 nipype.workflow DEBUG:\n",
"\t [MultiProc] Submitted task l1.mask (taskid=5).\n",
"181130-02:26:16,350 nipype.workflow DEBUG:\n",
"\t Allocating l1.model_param_gen ID=2 (0.20GB, 1 threads). Free: 226.07GB, 14 threads.\n",
"181130-02:26:16,351 nipype.workflow DEBUG:\n",
"\t Setting node inputs\n",
"181130-02:26:16,351 nipype.workflow DEBUG:\n",
"\t input: events_file\n",
"181130-02:26:16,352 nipype.workflow DEBUG:\n",
"\t results file: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/datasource/result_datasource.pklz\n",
"181130-02:26:16,353 nipype.utils DEBUG:\n",
"\t Loading pkl: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/datasource/result_datasource.pklz\n",
"181130-02:26:16,352 nipype.workflow INFO:\n",
"\t [Node] Setting-up \"l1.mask\" in \"/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/mask\".\n",
"181130-02:26:16,357 nipype.workflow DEBUG:\n",
"\t output: events_file\n",
"181130-02:26:16,358 nipype.workflow DEBUG:\n",
"\t [Node] model_param_gen - setting input events_file = /gablab/p/ADHDER/data/adhder/bids/sub-001/func/sub-001_task-emoregulate_rec-acqrun012_run-004_events.tsv\n",
"181130-02:26:16,357 nipype.workflow DEBUG:\n",
"\t [Node] Directory not found \"/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/mask\".181130-02:26:16,359 nipype.workflow DEBUG:\n",
"\t input: confounds_file\n",
"\n",
"181130-02:26:16,360 nipype.workflow DEBUG:\n",
"\t results file: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/datasource/result_datasource.pklz\n",
"181130-02:26:16,359 nipype.utils DEBUG:\n",
"\t Removing contents of /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/mask181130-02:26:16,362 nipype.utils DEBUG:\n",
"\t Loading pkl: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/datasource/result_datasource.pklz\n",
"\n",
"181130-02:26:16,362 nipype.utils DEBUG:\n",
"\t Creating directory /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/mask\n",
"181130-02:26:16,367 nipype.workflow DEBUG:\n",
"\t output: confounds_file\n",
"181130-02:26:16,368 nipype.workflow DEBUG:\n",
"\t [Node] model_param_gen - setting input confounds_file = /gablab/p/ADHDER/data/adhder/derivatives/fmriprep/sub-001/func/sub-001_task-emoregulate_rec-acqrun012_run-004_desc-confounds_regressors.tsv\n",
"181130-02:26:16,370 nipype.workflow DEBUG:\n",
"\t [Node] Directory not found \"/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/model_param_gen\".\n",
"181130-02:26:16,371 nipype.workflow DEBUG:\n",
"\t Checking hash \"l1.model_param_gen\" locally: cached=False, updated=False.\n",
"181130-02:26:16,372 nipype.workflow DEBUG:\n",
"\t [MultiProc] Submitted task l1.model_param_gen (taskid=6).\n",
"181130-02:26:16,374 nipype.workflow DEBUG:\n",
"\t Allocating l1.mask ID=8 (0.20GB, 1 threads). Free: 225.87GB, 13 threads.\n",
"181130-02:26:16,374 nipype.workflow DEBUG:\n",
"\t Setting node inputs\n",
"181130-02:26:16,375 nipype.workflow DEBUG:\n",
"\t input: mask_file\n",
"181130-02:26:16,374 nipype.workflow INFO:\n",
"\t [Node] Setting-up \"l1.model_param_gen\" in \"/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/model_param_gen\".181130-02:26:16,376 nipype.workflow DEBUG:\n",
"\t results file: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/datasource/result_datasource.pklz\n",
"181130-02:26:16,377 nipype.utils DEBUG:\n",
"\t Loading pkl: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/datasource/result_datasource.pklz\n",
"\n",
"181130-02:26:16,378 nipype.workflow DEBUG:\n",
"\t [Node] Directory not found \"/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/model_param_gen\".\n",
"181130-02:26:16,380 nipype.utils DEBUG:\n",
"\t Removing contents of /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/model_param_gen\n",
"181130-02:26:16,382 nipype.workflow DEBUG:\n",
"\t output: mask\n",
"181130-02:26:16,383 nipype.workflow DEBUG:\n",
"\t [Node] mask - setting input mask_file = /gablab/p/ADHDER/data/adhder/derivatives/fmriprep/sub-001/func/sub-001_task-emoregulate_rec-acqrun011_run-003_space-MNI152NLin2009cAsym_desc-brain_mask.nii.gz\n",
"181130-02:26:16,382 nipype.utils DEBUG:\n",
"\t Creating directory /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/model_param_gen181130-02:26:16,384 nipype.workflow DEBUG:\n",
"\t input: in_file\n",
"181130-02:26:16,383 nipype.utils DEBUG:\n",
"\t Creating directory /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/mask/_report181130-02:26:16,385 nipype.workflow DEBUG:\n",
"\t results file: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/datasource/result_datasource.pklz\n",
"\n",
"181130-02:26:16,386 nipype.utils DEBUG:\n",
"\t Loading pkl: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/datasource/result_datasource.pklz\n",
"\n",
"181130-02:26:16,387 nipype.workflow DEBUG:\n",
"\t [Node] Writing pre-exec report to \"/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/mask/_report/report.rst\"\n",
"181130-02:26:16,390 nipype.workflow DEBUG:\n",
"\t output: func\n",
"181130-02:26:16,391 nipype.workflow DEBUG:\n",
"\t [Node] mask - setting input in_file = /gablab/p/ADHDER/data/adhder/derivatives/fmriprep/sub-001/func/sub-001_task-emoregulate_rec-acqrun011_run-003_space-MNI152NLin2009cAsym_desc-preproc_bold.nii.gz\n",
"181130-02:26:16,393 nipype.workflow DEBUG:\n",
"\t [Node] Directory not found \"/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/mask\".\n",
"181130-02:26:16,393 nipype.workflow DEBUG:\n",
"\t Checking hash \"l1.mask\" locally: cached=False, updated=False.\n",
"181130-02:26:16,395 nipype.workflow DEBUG:\n",
"\t [MultiProc] Submitted task l1.mask (taskid=7).\n",
"181130-02:26:16,397 nipype.workflow DEBUG:\n",
"\t Allocating l1.model_param_gen ID=9 (0.20GB, 1 threads). Free: 225.67GB, 12 threads.\n",
"181130-02:26:16,398 nipype.workflow DEBUG:\n",
"\t Setting node inputs\n",
"181130-02:26:16,399 nipype.workflow DEBUG:\n",
"\t input: events_file\n",
"181130-02:26:16,400 nipype.workflow DEBUG:\n",
"\t results file: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/datasource/result_datasource.pklz\n",
"181130-02:26:16,398 nipype.workflow INFO:\n",
"\t [Node] Setting-up \"l1.mask\" in \"/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/mask\".181130-02:26:16,401 nipype.utils DEBUG:\n",
"\t Loading pkl: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/datasource/result_datasource.pklz\n",
"\n",
"181130-02:26:16,402 nipype.utils DEBUG:\n",
"\t Creating directory /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/model_param_gen/_report181130-02:26:16,403 nipype.workflow DEBUG:\n",
"\t [Node] Directory not found \"/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/mask\".\n",
"\n",
"181130-02:26:16,405 nipype.workflow DEBUG:\n",
"\t output: events_file\n",
"181130-02:26:16,405 nipype.utils DEBUG:\n",
"\t Removing contents of /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/mask181130-02:26:16,406 nipype.workflow DEBUG:\n",
"\t [Node] model_param_gen - setting input events_file = /gablab/p/ADHDER/data/adhder/bids/sub-001/func/sub-001_task-emoregulate_rec-acqrun011_run-003_events.tsv\n",
"\n",
"181130-02:26:16,407 nipype.workflow DEBUG:\n",
"\t input: confounds_file\n",
"181130-02:26:16,407 nipype.utils DEBUG:\n",
"\t Creating directory /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/mask181130-02:26:16,408 nipype.workflow DEBUG:\n",
"\t results file: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/datasource/result_datasource.pklz\n",
"\n",
"181130-02:26:16,409 nipype.utils DEBUG:\n",
"\t Loading pkl: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/datasource/result_datasource.pklz\n",
"181130-02:26:16,413 nipype.workflow DEBUG:\n",
"\t output: confounds_file\n",
"181130-02:26:16,413 nipype.workflow DEBUG:\n",
"\t [Node] model_param_gen - setting input confounds_file = /gablab/p/ADHDER/data/adhder/derivatives/fmriprep/sub-001/func/sub-001_task-emoregulate_rec-acqrun011_run-003_desc-confounds_regressors.tsv\n",
"181130-02:26:16,415 nipype.workflow DEBUG:\n",
"\t [Node] Directory not found \"/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/model_param_gen\".\n",
"181130-02:26:16,416 nipype.workflow DEBUG:\n",
"\t Checking hash \"l1.model_param_gen\" locally: cached=False, updated=False.\n",
"181130-02:26:16,417 nipype.workflow DEBUG:\n",
"\t [MultiProc] Submitted task l1.model_param_gen (taskid=8).\n",
"181130-02:26:16,419 nipype.workflow DEBUG:\n",
"\t Allocating l1.mask ID=15 (0.20GB, 1 threads). Free: 225.47GB, 11 threads.\n",
"181130-02:26:16,420 nipype.workflow DEBUG:\n",
"\t Setting node inputs\n",
"181130-02:26:16,421 nipype.workflow DEBUG:\n",
"\t input: mask_file\n",
"181130-02:26:16,422 nipype.workflow DEBUG:\n",
"\t results file: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/datasource/result_datasource.pklz\n",
"181130-02:26:16,420 nipype.workflow INFO:\n",
"\t [Node] Setting-up \"l1.model_param_gen\" in \"/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/model_param_gen\".181130-02:26:16,422 nipype.utils DEBUG:\n",
"\t Loading pkl: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/datasource/result_datasource.pklz\n",
"\n",
"181130-02:26:16,423 nipype.workflow DEBUG:\n",
"\t [Node] Directory not found \"/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/model_param_gen\".\n",
"181130-02:26:16,425 nipype.utils DEBUG:\n",
"\t Removing contents of /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/model_param_gen181130-02:26:16,427 nipype.workflow DEBUG:\n",
"\t output: mask\n",
"181130-02:26:16,428 nipype.workflow DEBUG:\n",
"\t [Node] mask - setting input mask_file = /gablab/p/ADHDER/data/adhder/derivatives/fmriprep/sub-001/func/sub-001_task-emoregulate_rec-acqrun010_run-002_space-MNI152NLin2009cAsym_desc-brain_mask.nii.gz\n",
"\n",
"181130-02:26:16,428 nipype.workflow DEBUG:\n",
"\t input: in_file\n",
"181130-02:26:16,428 nipype.utils DEBUG:\n",
"\t Creating directory /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/model_param_gen181130-02:26:16,429 nipype.workflow DEBUG:\n",
"\t results file: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/datasource/result_datasource.pklz\n",
"\n",
"181130-02:26:16,430 nipype.utils DEBUG:\n",
"\t Loading pkl: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/datasource/result_datasource.pklz\n",
"181130-02:26:16,434 nipype.workflow DEBUG:\n",
"\t output: func\n",
"181130-02:26:16,434 nipype.workflow DEBUG:\n",
"\t [Node] mask - setting input in_file = /gablab/p/ADHDER/data/adhder/derivatives/fmriprep/sub-001/func/sub-001_task-emoregulate_rec-acqrun010_run-002_space-MNI152NLin2009cAsym_desc-preproc_bold.nii.gz\n",
"181130-02:26:16,436 nipype.workflow DEBUG:\n",
"\t [Node] Directory not found \"/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/mask\".\n",
"181130-02:26:16,437 nipype.workflow DEBUG:\n",
"\t Checking hash \"l1.mask\" locally: cached=False, updated=False.\n",
"181130-02:26:16,438 nipype.workflow DEBUG:\n",
"\t [MultiProc] Submitted task l1.mask (taskid=9).\n",
"181130-02:26:16,439 nipype.workflow DEBUG:\n",
"\t Allocating l1.model_param_gen ID=16 (0.20GB, 1 threads). Free: 225.27GB, 10 threads.\n",
"181130-02:26:16,440 nipype.workflow DEBUG:\n",
"\t Setting node inputs\n",
"181130-02:26:16,441 nipype.workflow DEBUG:\n",
"\t input: events_file\n",
"181130-02:26:16,442 nipype.workflow DEBUG:\n",
"\t results file: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/datasource/result_datasource.pklz\n",
"181130-02:26:16,441 nipype.workflow INFO:\n",
"\t [Node] Setting-up \"l1.mask\" in \"/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/mask\".181130-02:26:16,443 nipype.utils DEBUG:\n",
"\t Loading pkl: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/datasource/result_datasource.pklz\n",
"\n",
"181130-02:26:16,445 nipype.workflow DEBUG:\n",
"\t [Node] Directory not found \"/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/mask\".\n",
"181130-02:26:16,448 nipype.workflow DEBUG:\n",
"\t output: events_file\n",
"181130-02:26:16,449 nipype.workflow DEBUG:\n",
"\t [Node] model_param_gen - setting input events_file = /gablab/p/ADHDER/data/adhder/bids/sub-001/func/sub-001_task-emoregulate_rec-acqrun010_run-002_events.tsv\n",
"181130-02:26:16,448 nipype.utils DEBUG:\n",
"\t Removing contents of /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/mask181130-02:26:16,450 nipype.workflow DEBUG:\n",
"\t input: confounds_file\n",
"181130-02:26:16,451 nipype.workflow DEBUG:\n",
"\t results file: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/datasource/result_datasource.pklz\n",
"181130-02:26:16,452 nipype.utils DEBUG:\n",
"\t Loading pkl: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/datasource/result_datasource.pklz\n",
"\n",
"181130-02:26:16,450 nipype.utils DEBUG:\n",
"\t Creating directory /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/mask\n",
"181130-02:26:16,456 nipype.workflow DEBUG:\n",
"\t output: confounds_file\n",
"181130-02:26:16,457 nipype.workflow DEBUG:\n",
"\t [Node] model_param_gen - setting input confounds_file = /gablab/p/ADHDER/data/adhder/derivatives/fmriprep/sub-001/func/sub-001_task-emoregulate_rec-acqrun010_run-002_desc-confounds_regressors.tsv\n",
"181130-02:26:16,458 nipype.workflow DEBUG:\n",
"\t [Node] Directory not found \"/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/model_param_gen\".\n",
"181130-02:26:16,459 nipype.workflow DEBUG:\n",
"\t Checking hash \"l1.model_param_gen\" locally: cached=False, updated=False.\n",
"181130-02:26:16,460 nipype.workflow DEBUG:\n",
"\t [MultiProc] Submitted task l1.model_param_gen (taskid=10).\n",
"181130-02:26:16,462 nipype.workflow DEBUG:\n",
"\t Allocating l1.mask ID=22 (0.20GB, 1 threads). Free: 225.07GB, 9 threads.\n",
"181130-02:26:16,462 nipype.workflow DEBUG:\n",
"\t Setting node inputs\n",
"181130-02:26:16,463 nipype.workflow DEBUG:\n",
"\t input: mask_file\n",
"181130-02:26:16,463 nipype.workflow DEBUG:\n",
"\t results file: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_1/datasource/result_datasource.pklz\n",
"181130-02:26:16,462 nipype.workflow INFO:\n",
"\t [Node] Setting-up \"l1.model_param_gen\" in \"/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/model_param_gen\".181130-02:26:16,464 nipype.utils DEBUG:\n",
"\t Loading pkl: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_1/datasource/result_datasource.pklz\n",
"\n",
"181130-02:26:16,465 nipype.workflow DEBUG:\n",
"\t [Node] Directory not found \"/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/model_param_gen\".\n",
"181130-02:26:16,467 nipype.utils DEBUG:\n",
"\t Removing contents of /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/model_param_gen181130-02:26:16,468 nipype.workflow DEBUG:\n",
"\t output: mask\n",
"181130-02:26:16,469 nipype.workflow DEBUG:\n",
"\t [Node] mask - setting input mask_file = /gablab/p/ADHDER/data/adhder/derivatives/fmriprep/sub-001/func/sub-001_task-emoregulate_rec-acqrun009_run-001_space-MNI152NLin2009cAsym_desc-brain_mask.nii.gz\n",
"\n",
"181130-02:26:16,470 nipype.workflow DEBUG:\n",
"\t input: in_file\n",
"181130-02:26:16,470 nipype.workflow DEBUG:\n",
"\t results file: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_1/datasource/result_datasource.pklz\n",
"181130-02:26:16,471 nipype.utils DEBUG:\n",
"\t Loading pkl: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_1/datasource/result_datasource.pklz\n",
"181130-02:26:16,469 nipype.utils DEBUG:\n",
"\t Creating directory /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/model_param_gen\n",
"181130-02:26:16,474 nipype.workflow DEBUG:\n",
"\t output: func\n",
"181130-02:26:16,475 nipype.workflow DEBUG:\n",
"\t [Node] mask - setting input in_file = /gablab/p/ADHDER/data/adhder/derivatives/fmriprep/sub-001/func/sub-001_task-emoregulate_rec-acqrun009_run-001_space-MNI152NLin2009cAsym_desc-preproc_bold.nii.gz\n",
"181130-02:26:16,477 nipype.workflow DEBUG:\n",
"\t [Node] Directory not found \"/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_1/mask\".\n",
"181130-02:26:16,477 nipype.workflow DEBUG:\n",
"\t Checking hash \"l1.mask\" locally: cached=False, updated=False.\n",
"181130-02:26:16,479 nipype.workflow DEBUG:\n",
"\t [MultiProc] Submitted task l1.mask (taskid=11).\n",
"181130-02:26:16,480 nipype.workflow DEBUG:\n",
"\t Allocating l1.model_param_gen ID=23 (0.20GB, 1 threads). Free: 224.87GB, 8 threads.\n",
"181130-02:26:16,481 nipype.workflow DEBUG:\n",
"\t Setting node inputs\n",
"181130-02:26:16,482 nipype.workflow DEBUG:\n",
"\t input: events_file\n",
"181130-02:26:16,482 nipype.workflow DEBUG:\n",
"\t results file: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_1/datasource/result_datasource.pklz\n",
"181130-02:26:16,483 nipype.utils DEBUG:\n",
"\t Loading pkl: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_1/datasource/result_datasource.pklz\n",
"181130-02:26:16,481 nipype.workflow INFO:\n",
"\t [Node] Setting-up \"l1.mask\" in \"/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_1/mask\".\n",
"181130-02:26:16,485 nipype.workflow DEBUG:\n",
"\t [Node] Directory not found \"/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_1/mask\".\n",
"181130-02:26:16,487 nipype.workflow DEBUG:\n",
"\t output: events_file\n",
"181130-02:26:16,488 nipype.workflow DEBUG:\n",
"\t [Node] model_param_gen - setting input events_file = /gablab/p/ADHDER/data/adhder/bids/sub-001/func/sub-001_task-emoregulate_rec-acqrun009_run-001_events.tsv\n",
"181130-02:26:16,487 nipype.utils DEBUG:\n",
"\t Removing contents of /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_1/mask181130-02:26:16,488 nipype.workflow DEBUG:\n",
"\t input: confounds_file\n",
"\n",
"181130-02:26:16,489 nipype.workflow DEBUG:\n",
"\t results file: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_1/datasource/result_datasource.pklz\n",
"181130-02:26:16,489 nipype.utils DEBUG:\n",
"\t Creating directory /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_1/mask181130-02:26:16,490 nipype.utils DEBUG:\n",
"\t Loading pkl: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_1/datasource/result_datasource.pklz\n",
"\n",
"181130-02:26:16,494 nipype.workflow DEBUG:\n",
"\t output: confounds_file\n",
"181130-02:26:16,494 nipype.workflow DEBUG:\n",
"\t [Node] model_param_gen - setting input confounds_file = /gablab/p/ADHDER/data/adhder/derivatives/fmriprep/sub-001/func/sub-001_task-emoregulate_rec-acqrun009_run-001_desc-confounds_regressors.tsv\n",
"181130-02:26:16,496 nipype.workflow DEBUG:\n",
"\t [Node] Directory not found \"/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_1/model_param_gen\".\n",
"181130-02:26:16,497 nipype.workflow DEBUG:\n",
"\t Checking hash \"l1.model_param_gen\" locally: cached=False, updated=False.\n",
"181130-02:26:16,498 nipype.workflow DEBUG:\n",
"\t [MultiProc] Submitted task l1.model_param_gen (taskid=12).\n",
"181130-02:26:16,500 nipype.workflow INFO:\n",
"\t [Node] Setting-up \"l1.model_param_gen\" in \"/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_1/model_param_gen\".\n",
"181130-02:26:16,504 nipype.workflow DEBUG:\n",
"\t [Node] Directory not found \"/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_1/model_param_gen\".\n",
"181130-02:26:16,506 nipype.utils DEBUG:\n",
"\t Removing contents of /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_1/model_param_gen\n",
"181130-02:26:16,507 nipype.utils DEBUG:\n",
"\t Creating directory /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_1/model_param_gen\n",
"181130-02:26:16,571 nipype.workflow DEBUG:\n",
"\t [Node] Writing pre-exec report to \"/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/model_param_gen/_report/report.rst\"\n",
"181130-02:26:16,585 nipype.interface DEBUG:\n",
"\t in_file_/gablab/p/ADHDER/data/adhder/derivatives/fmriprep/sub-001/func/sub-001_task-emoregulate_rec-acqrun012_run-004_space-MNI152NLin2009cAsym_desc-preproc_bold.nii.gz\n",
"181130-02:26:16,586 nipype.utils DEBUG:\n",
"\t Creating directory /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/mask/_report181130-02:26:16,587 nipype.utils DEBUG:\n",
"\t Creating directory /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_1/mask/_report181130-02:26:16,587 nipype.utils DEBUG:\n",
"\t Creating directory /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/mask/_report181130-02:26:16,587 nipype.interface DEBUG:\n",
"\t mask_file_/gablab/p/ADHDER/data/adhder/derivatives/fmriprep/sub-001/func/sub-001_task-emoregulate_rec-acqrun012_run-004_space-MNI152NLin2009cAsym_desc-brain_mask.nii.gz\n",
"\n",
"181130-02:26:16,589 nipype.utils DEBUG:\n",
"\t Creating directory /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/model_param_gen/_report\n",
"\n",
"181130-02:26:16,590 nipype.utils DEBUG:\n",
"\t Creating directory /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_1/model_param_gen/_report\n",
"181130-02:26:16,590 nipype.utils DEBUG:\n",
"\t Creating directory /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/model_param_gen/_report181130-02:26:16,591 nipype.interface DEBUG:\n",
"\t out_file_/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/mask/sub-001_task-emoregulate_rec-acqrun012_run-004_space-MNI152NLin2009cAsym_desc-preproc_bold_masked.nii.gz181130-02:26:16,592 nipype.workflow DEBUG:\n",
"\t [Node] Writing pre-exec report to \"/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/mask/_report/report.rst\"\n",
"\n",
"\n",
"181130-02:26:16,593 nipype.workflow DEBUG:\n",
"\t [Node] Writing pre-exec report to \"/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/mask/_report/report.rst\"181130-02:26:16,593 nipype.workflow DEBUG:\n",
"\t [Node] Writing pre-exec report to \"/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_1/mask/_report/report.rst\"181130-02:26:16,594 nipype.workflow DEBUG:\n",
"\t [Node] Writing pre-exec report to \"/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/model_param_gen/_report/report.rst\"\n",
"\n",
"\n",
"\n",
"181130-02:26:16,597 nipype.workflow DEBUG:\n",
"\t [Node] Writing pre-exec report to \"/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_1/model_param_gen/_report/report.rst\"181130-02:26:16,597 nipype.workflow DEBUG:\n",
"\t [Node] Writing pre-exec report to \"/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/model_param_gen/_report/report.rst\"\n",
"\n",
"181130-02:26:16,602 nipype.workflow INFO:\n",
"\t [Node] Running \"mask\" (\"nipype.interfaces.fsl.maths.ApplyMask\"), a CommandLine Interface with command:\n",
"fslmaths /gablab/p/ADHDER/data/adhder/derivatives/fmriprep/sub-001/func/sub-001_task-emoregulate_rec-acqrun012_run-004_space-MNI152NLin2009cAsym_desc-preproc_bold.nii.gz -mas /gablab/p/ADHDER/data/adhder/derivatives/fmriprep/sub-001/func/sub-001_task-emoregulate_rec-acqrun012_run-004_space-MNI152NLin2009cAsym_desc-brain_mask.nii.gz /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/mask/sub-001_task-emoregulate_rec-acqrun012_run-004_space-MNI152NLin2009cAsym_desc-preproc_bold_masked.nii.gz181130-02:26:16,603 nipype.workflow INFO:\n",
"\t [Node] Running \"model_param_gen\" (\"nipype.interfaces.utility.wrappers.Function\")\n",
"\n",
"181130-02:26:16,607 nipype.interface DEBUG:\n",
"\t in_file_/gablab/p/ADHDER/data/adhder/derivatives/fmriprep/sub-001/func/sub-001_task-emoregulate_rec-acqrun012_run-004_space-MNI152NLin2009cAsym_desc-preproc_bold.nii.gz\n",
"181130-02:26:16,610 nipype.interface DEBUG:\n",
"\t mask_file_/gablab/p/ADHDER/data/adhder/derivatives/fmriprep/sub-001/func/sub-001_task-emoregulate_rec-acqrun012_run-004_space-MNI152NLin2009cAsym_desc-brain_mask.nii.gz\n",
"181130-02:26:16,613 nipype.interface DEBUG:\n",
"\t out_file_/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/mask/sub-001_task-emoregulate_rec-acqrun012_run-004_space-MNI152NLin2009cAsym_desc-preproc_bold_masked.nii.gz\n",
"181130-02:26:16,624 nipype.interface DEBUG:\n",
"\t in_file_/gablab/p/ADHDER/data/adhder/derivatives/fmriprep/sub-001/func/sub-001_task-emoregulate_rec-acqrun010_run-002_space-MNI152NLin2009cAsym_desc-preproc_bold.nii.gz\n",
"181130-02:26:16,626 nipype.interface DEBUG:\n",
"\t mask_file_/gablab/p/ADHDER/data/adhder/derivatives/fmriprep/sub-001/func/sub-001_task-emoregulate_rec-acqrun010_run-002_space-MNI152NLin2009cAsym_desc-brain_mask.nii.gz181130-02:26:16,627 nipype.interface DEBUG:\n",
"\t in_file_/gablab/p/ADHDER/data/adhder/derivatives/fmriprep/sub-001/func/sub-001_task-emoregulate_rec-acqrun009_run-001_space-MNI152NLin2009cAsym_desc-preproc_bold.nii.gz181130-02:26:16,627 nipype.workflow INFO:\n",
"\t [Node] Running \"model_param_gen\" (\"nipype.interfaces.utility.wrappers.Function\")181130-02:26:16,627 nipype.interface DEBUG:\n",
"\t in_file_/gablab/p/ADHDER/data/adhder/derivatives/fmriprep/sub-001/func/sub-001_task-emoregulate_rec-acqrun011_run-003_space-MNI152NLin2009cAsym_desc-preproc_bold.nii.gz\n",
"\n",
"\n",
"\n",
"181130-02:26:16,629 nipype.workflow INFO:\n",
"\t [Node] Running \"model_param_gen\" (\"nipype.interfaces.utility.wrappers.Function\")181130-02:26:16,629 nipype.interface DEBUG:\n",
"\t mask_file_/gablab/p/ADHDER/data/adhder/derivatives/fmriprep/sub-001/func/sub-001_task-emoregulate_rec-acqrun009_run-001_space-MNI152NLin2009cAsym_desc-brain_mask.nii.gz181130-02:26:16,630 nipype.interface DEBUG:\n",
"\t out_file_/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/mask/sub-001_task-emoregulate_rec-acqrun010_run-002_space-MNI152NLin2009cAsym_desc-preproc_bold_masked.nii.gz\n",
"\n",
"\n",
"181130-02:26:16,631 nipype.interface DEBUG:\n",
"\t mask_file_/gablab/p/ADHDER/data/adhder/derivatives/fmriprep/sub-001/func/sub-001_task-emoregulate_rec-acqrun011_run-003_space-MNI152NLin2009cAsym_desc-brain_mask.nii.gz\n",
"181130-02:26:16,633 nipype.interface DEBUG:\n",
"\t out_file_/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_1/mask/sub-001_task-emoregulate_rec-acqrun009_run-001_space-MNI152NLin2009cAsym_desc-preproc_bold_masked.nii.gz181130-02:26:16,632 nipype.workflow INFO:\n",
"\t [Node] Running \"model_param_gen\" (\"nipype.interfaces.utility.wrappers.Function\")\n",
"\n",
"181130-02:26:16,634 nipype.interface DEBUG:\n",
"\t out_file_/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/mask/sub-001_task-emoregulate_rec-acqrun011_run-003_space-MNI152NLin2009cAsym_desc-preproc_bold_masked.nii.gz\n",
"181130-02:26:16,640 nipype.workflow INFO:\n",
"\t [Node] Running \"mask\" (\"nipype.interfaces.fsl.maths.ApplyMask\"), a CommandLine Interface with command:\n",
"fslmaths /gablab/p/ADHDER/data/adhder/derivatives/fmriprep/sub-001/func/sub-001_task-emoregulate_rec-acqrun010_run-002_space-MNI152NLin2009cAsym_desc-preproc_bold.nii.gz -mas /gablab/p/ADHDER/data/adhder/derivatives/fmriprep/sub-001/func/sub-001_task-emoregulate_rec-acqrun010_run-002_space-MNI152NLin2009cAsym_desc-brain_mask.nii.gz /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/mask/sub-001_task-emoregulate_rec-acqrun010_run-002_space-MNI152NLin2009cAsym_desc-preproc_bold_masked.nii.gz\n",
"181130-02:26:16,644 nipype.workflow INFO:\n",
"\t [Node] Running \"mask\" (\"nipype.interfaces.fsl.maths.ApplyMask\"), a CommandLine Interface with command:\n",
"fslmaths /gablab/p/ADHDER/data/adhder/derivatives/fmriprep/sub-001/func/sub-001_task-emoregulate_rec-acqrun009_run-001_space-MNI152NLin2009cAsym_desc-preproc_bold.nii.gz -mas /gablab/p/ADHDER/data/adhder/derivatives/fmriprep/sub-001/func/sub-001_task-emoregulate_rec-acqrun009_run-001_space-MNI152NLin2009cAsym_desc-brain_mask.nii.gz /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_1/mask/sub-001_task-emoregulate_rec-acqrun009_run-001_space-MNI152NLin2009cAsym_desc-preproc_bold_masked.nii.gz181130-02:26:16,644 nipype.interface DEBUG:\n",
"\t in_file_/gablab/p/ADHDER/data/adhder/derivatives/fmriprep/sub-001/func/sub-001_task-emoregulate_rec-acqrun010_run-002_space-MNI152NLin2009cAsym_desc-preproc_bold.nii.gz181130-02:26:16,644 nipype.workflow INFO:\n",
"\t [Node] Running \"mask\" (\"nipype.interfaces.fsl.maths.ApplyMask\"), a CommandLine Interface with command:\n",
"fslmaths /gablab/p/ADHDER/data/adhder/derivatives/fmriprep/sub-001/func/sub-001_task-emoregulate_rec-acqrun011_run-003_space-MNI152NLin2009cAsym_desc-preproc_bold.nii.gz -mas /gablab/p/ADHDER/data/adhder/derivatives/fmriprep/sub-001/func/sub-001_task-emoregulate_rec-acqrun011_run-003_space-MNI152NLin2009cAsym_desc-brain_mask.nii.gz /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/mask/sub-001_task-emoregulate_rec-acqrun011_run-003_space-MNI152NLin2009cAsym_desc-preproc_bold_masked.nii.gz\n",
"\n",
"\n",
"181130-02:26:16,647 nipype.interface DEBUG:\n",
"\t mask_file_/gablab/p/ADHDER/data/adhder/derivatives/fmriprep/sub-001/func/sub-001_task-emoregulate_rec-acqrun010_run-002_space-MNI152NLin2009cAsym_desc-brain_mask.nii.gz\n",
"181130-02:26:16,648 nipype.interface DEBUG:\n",
"\t in_file_/gablab/p/ADHDER/data/adhder/derivatives/fmriprep/sub-001/func/sub-001_task-emoregulate_rec-acqrun009_run-001_space-MNI152NLin2009cAsym_desc-preproc_bold.nii.gz181130-02:26:16,648 nipype.interface DEBUG:\n",
"\t in_file_/gablab/p/ADHDER/data/adhder/derivatives/fmriprep/sub-001/func/sub-001_task-emoregulate_rec-acqrun011_run-003_space-MNI152NLin2009cAsym_desc-preproc_bold.nii.gz181130-02:26:16,649 nipype.interface DEBUG:\n",
"\t out_file_/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/mask/sub-001_task-emoregulate_rec-acqrun010_run-002_space-MNI152NLin2009cAsym_desc-preproc_bold_masked.nii.gz\n",
"\n",
"181130-02:26:16,650 nipype.interface DEBUG:\n",
"\t mask_file_/gablab/p/ADHDER/data/adhder/derivatives/fmriprep/sub-001/func/sub-001_task-emoregulate_rec-acqrun009_run-001_space-MNI152NLin2009cAsym_desc-brain_mask.nii.gz\n",
"\n",
"181130-02:26:16,651 nipype.interface DEBUG:\n",
"\t mask_file_/gablab/p/ADHDER/data/adhder/derivatives/fmriprep/sub-001/func/sub-001_task-emoregulate_rec-acqrun011_run-003_space-MNI152NLin2009cAsym_desc-brain_mask.nii.gz\n",
"181130-02:26:16,652 nipype.interface DEBUG:\n",
"\t out_file_/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_1/mask/sub-001_task-emoregulate_rec-acqrun009_run-001_space-MNI152NLin2009cAsym_desc-preproc_bold_masked.nii.gz\n",
"181130-02:26:16,653 nipype.interface DEBUG:\n",
"\t out_file_/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/mask/sub-001_task-emoregulate_rec-acqrun011_run-003_space-MNI152NLin2009cAsym_desc-preproc_bold_masked.nii.gz\n",
"181130-02:26:16,882 nipype.workflow DEBUG:\n",
"\t Needed files: /gablab/p/ADHDER/data/adhder/derivatives/fmriprep/sub-001/func/sub-001_task-emoregulate_rec-acqrun011_run-003_desc-confounds_regressors.tsv;/gablab/p/ADHDER/data/adhder/bids/sub-001/func/sub-001_task-emoregulate_rec-acqrun011_run-003_events.tsv;/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/model_param_gen/_0xf0caf38e8daf176f7eef012a172ffe5e_unfinished.json;/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/model_param_gen/_inputs.pklz;/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/model_param_gen/_node.pklz\n",
"181130-02:26:16,884 nipype.workflow DEBUG:\n",
"\t Needed dirs: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/model_param_gen/_report\n",
"181130-02:26:16,886 nipype.workflow DEBUG:\n",
"\t Removing files: \n",
"181130-02:26:16,887 nipype.workflow DEBUG:\n",
"\t Needed files: /gablab/p/ADHDER/data/adhder/derivatives/fmriprep/sub-001/func/sub-001_task-emoregulate_rec-acqrun010_run-002_desc-confounds_regressors.tsv;/gablab/p/ADHDER/data/adhder/bids/sub-001/func/sub-001_task-emoregulate_rec-acqrun010_run-002_events.tsv;/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/model_param_gen/_0x84e23cd0830ca12a1059f27567557d9b_unfinished.json;/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/model_param_gen/_inputs.pklz;/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/model_param_gen/_node.pklz\n",
"181130-02:26:16,888 nipype.workflow DEBUG:\n",
"\t Needed files: /gablab/p/ADHDER/data/adhder/derivatives/fmriprep/sub-001/func/sub-001_task-emoregulate_rec-acqrun012_run-004_desc-confounds_regressors.tsv;/gablab/p/ADHDER/data/adhder/bids/sub-001/func/sub-001_task-emoregulate_rec-acqrun012_run-004_events.tsv;/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/model_param_gen/_0xd5937eabb1689e41dcfc299a9392a7d8_unfinished.json;/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/model_param_gen/_inputs.pklz;/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/model_param_gen/_node.pklz181130-02:26:16,889 nipype.workflow DEBUG:\n",
"\t Needed dirs: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/model_param_gen/_report181130-02:26:16,890 nipype.workflow DEBUG:\n",
"\t Needed files: /gablab/p/ADHDER/data/adhder/derivatives/fmriprep/sub-001/func/sub-001_task-emoregulate_rec-acqrun009_run-001_desc-confounds_regressors.tsv;/gablab/p/ADHDER/data/adhder/bids/sub-001/func/sub-001_task-emoregulate_rec-acqrun009_run-001_events.tsv;/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_1/model_param_gen/_0xf961504e3dfd3696cb6eebae93bde4a7_unfinished.json;/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_1/model_param_gen/_inputs.pklz;/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_1/model_param_gen/_node.pklz\n",
"\n",
"\n",
"181130-02:26:16,891 nipype.workflow DEBUG:\n",
"\t Removing files: 181130-02:26:16,891 nipype.workflow DEBUG:\n",
"\t Needed dirs: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/model_param_gen/_report181130-02:26:16,892 nipype.workflow DEBUG:\n",
"\t Needed dirs: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_1/model_param_gen/_report\n",
"\n",
"\n",
"181130-02:26:16,893 nipype.workflow DEBUG:\n",
"\t Removing files: 181130-02:26:16,894 nipype.workflow DEBUG:\n",
"\t Removing files: \n",
"\n",
"181130-02:26:16,904 nipype.workflow DEBUG:\n",
"\t saved results in /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/model_param_gen/result_model_param_gen.pklz\n",
"181130-02:26:16,907 nipype.workflow DEBUG:\n",
"\t saved results in /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/model_param_gen/result_model_param_gen.pklz\n",
"181130-02:26:16,911 nipype.workflow DEBUG:\n",
"\t saved results in /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_1/model_param_gen/result_model_param_gen.pklz181130-02:26:16,911 nipype.workflow DEBUG:\n",
"\t saved results in /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/model_param_gen/result_model_param_gen.pklz181130-02:26:16,912 nipype.workflow DEBUG:\n",
"\t [Node] Writing post-exec report to \"/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/model_param_gen/_report/report.rst\"\n",
"\n",
"\n",
"181130-02:26:16,914 nipype.workflow DEBUG:\n",
"\t [Node] Writing post-exec report to \"/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/model_param_gen/_report/report.rst\"\n",
"181130-02:26:16,919 nipype.workflow DEBUG:\n",
"\t [Node] Writing post-exec report to \"/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_1/model_param_gen/_report/report.rst\"181130-02:26:16,919 nipype.workflow DEBUG:\n",
"\t [Node] Writing post-exec report to \"/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/model_param_gen/_report/report.rst\"\n",
"\n",
"181130-02:26:16,922 nipype.workflow DEBUG:\n",
"\t Aggregate: False\n",
"181130-02:26:16,923 nipype.workflow DEBUG:\n",
"\t Aggregate: False\n",
"181130-02:26:16,928 nipype.workflow DEBUG:\n",
"\t Aggregate: False181130-02:26:16,928 nipype.workflow DEBUG:\n",
"\t Aggregate: False\n",
"\n",
"181130-02:26:16,938 nipype.workflow INFO:\n",
"\t [Node] Finished \"l1.model_param_gen\".\n",
"181130-02:26:16,940 nipype.workflow INFO:\n",
"\t [Node] Finished \"l1.model_param_gen\".\n",
"181130-02:26:16,945 nipype.workflow INFO:\n",
"\t [Node] Finished \"l1.model_param_gen\".\n",
"181130-02:26:16,946 nipype.workflow INFO:\n",
"\t [Node] Finished \"l1.model_param_gen\".\n",
"181130-02:26:18,197 nipype.workflow DEBUG:\n",
"\t Progress: 39 jobs, 4/8/0 (done/running/ready), 8/27 (pending_tasks/waiting).\n",
"181130-02:26:18,199 nipype.workflow INFO:\n",
"\t [Job 2] Completed (l1.model_param_gen).\n",
"181130-02:26:18,202 nipype.workflow INFO:\n",
"\t [Job 9] Completed (l1.model_param_gen).\n",
"181130-02:26:18,205 nipype.workflow INFO:\n",
"\t [Job 16] Completed (l1.model_param_gen).\n",
"181130-02:26:18,209 nipype.workflow INFO:\n",
"\t [Job 23] Completed (l1.model_param_gen).\n",
"181130-02:26:18,211 nipype.workflow DEBUG:\n",
"\t Tasks currently running: 4. Pending: 4.\n",
"181130-02:26:18,214 nipype.workflow INFO:\n",
"\t [MultiProc] Running 4 tasks, and 4 jobs ready. Free memory (GB): 225.67/226.47, Free processors: 12/16.\n",
" Currently running:\n",
" * l1.mask\n",
" * l1.mask\n",
" * l1.mask\n",
" * l1.mask\n",
"181130-02:26:18,279 nipype.workflow DEBUG:\n",
"\t Allocating l1.modelspec ID=3 (0.20GB, 1 threads). Free: 225.47GB, 11 threads.\n",
"181130-02:26:18,280 nipype.workflow DEBUG:\n",
"\t Setting node inputs\n",
"181130-02:26:18,281 nipype.workflow DEBUG:\n",
"\t input: functional_runs\n",
"181130-02:26:18,281 nipype.workflow DEBUG:\n",
"\t results file: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/datasource/result_datasource.pklz\n",
"181130-02:26:18,282 nipype.utils DEBUG:\n",
"\t Loading pkl: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/datasource/result_datasource.pklz\n",
"181130-02:26:19,824 nipype.workflow DEBUG:\n",
"\t output: func\n",
"181130-02:26:19,825 nipype.workflow DEBUG:\n",
"\t [Node] modelspec - setting input functional_runs = /gablab/p/ADHDER/data/adhder/derivatives/fmriprep/sub-001/func/sub-001_task-emoregulate_rec-acqrun012_run-004_space-MNI152NLin2009cAsym_desc-preproc_bold.nii.gz\n",
"181130-02:26:19,827 nipype.workflow DEBUG:\n",
"\t input: subject_info\n",
"181130-02:26:19,828 nipype.workflow DEBUG:\n",
"\t results file: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/model_param_gen/result_model_param_gen.pklz\n",
"181130-02:26:19,829 nipype.utils DEBUG:\n",
"\t Loading pkl: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/model_param_gen/result_model_param_gen.pklz\n",
"181130-02:26:20,251 nipype.workflow DEBUG:\n",
"\t output: model_specification\n",
"181130-02:26:20,264 nipype.workflow DEBUG:\n",
"\t [Node] modelspec - setting input subject_info = [Bunch(amplitudes=None, conditions=['neutral', 'negative', 'reappraise'], durations=[[8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0], [8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0], [8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0]], onsets=[[10.015431881, 28.0302989483, 86.02499389649999, 126.021333933, 242.02756500200002, 306.02132296599996, 370.015614033, 430.02635288199997], [50.0284099579, 144.03291702299998, 184.032646894, 222.012332916, 264.025460005, 328.019345045, 388.03055501, 470.02306389800003], [68.0096509457, 108.02294802700001, 164.01789903600002, 202.03100895900002, 284.023580074, 348.017371893, 408.028724909, 452.02427911800004]], pmod=None, regressor_names=('framewise_displacement', 'a_comp_cor_00', 'a_comp_cor_01', 'a_comp_cor_02', 'a_comp_cor_03', 'a_comp_cor_04', 'a_comp_cor_05'), regressors=([0.0, 0.12330194000000005, 0.06870277999999999, 0.12597495, 0.1227278, 0.06433522, 0.0876575765, 0.1109605265, 0.06461855000000001, 0.06034988, 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"181130-02:26:20,280 nipype.workflow DEBUG:\n",
"\t [Node] Directory not found \"/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/modelspec\".\n",
"181130-02:26:20,281 nipype.workflow DEBUG:\n",
"\t Checking hash \"l1.modelspec\" locally: cached=False, updated=False.\n",
"181130-02:26:20,289 nipype.workflow DEBUG:\n",
"\t [MultiProc] Submitted task l1.modelspec (taskid=13).\n",
"181130-02:26:20,290 nipype.workflow DEBUG:\n",
"\t Allocating l1.modelspec ID=10 (0.20GB, 1 threads). Free: 225.27GB, 10 threads.\n",
"181130-02:26:20,292 nipype.workflow DEBUG:\n",
"\t Setting node inputs\n",
"181130-02:26:20,292 nipype.workflow DEBUG:\n",
"\t input: functional_runs\n",
"181130-02:26:20,293 nipype.workflow DEBUG:\n",
"\t results file: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/datasource/result_datasource.pklz\n",
"181130-02:26:20,294 nipype.utils DEBUG:\n",
"\t Loading pkl: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/datasource/result_datasource.pklz\n",
"181130-02:26:20,293 nipype.workflow INFO:\n",
"\t [Node] Setting-up \"l1.modelspec\" in \"/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/modelspec\".\n",
"181130-02:26:20,298 nipype.workflow DEBUG:\n",
"\t [Node] Directory not found \"/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/modelspec\".\n",
"181130-02:26:20,301 nipype.utils DEBUG:\n",
"\t Removing contents of /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/modelspec\n",
"181130-02:26:20,304 nipype.utils DEBUG:\n",
"\t Creating directory /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/modelspec\n",
"181130-02:26:21,503 nipype.workflow DEBUG:\n",
"\t output: func\n",
"181130-02:26:21,504 nipype.workflow DEBUG:\n",
"\t [Node] modelspec - setting input functional_runs = /gablab/p/ADHDER/data/adhder/derivatives/fmriprep/sub-001/func/sub-001_task-emoregulate_rec-acqrun011_run-003_space-MNI152NLin2009cAsym_desc-preproc_bold.nii.gz\n",
"181130-02:26:25,367 nipype.workflow DEBUG:\n",
"\t input: subject_info\n",
"181130-02:26:25,368 nipype.workflow DEBUG:\n",
"\t results file: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/model_param_gen/result_model_param_gen.pklz\n",
"181130-02:26:25,370 nipype.utils DEBUG:\n",
"\t Loading pkl: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/model_param_gen/result_model_param_gen.pklz\n",
"181130-02:26:27,489 nipype.workflow DEBUG:\n",
"\t output: model_specification\n",
"181130-02:26:27,503 nipype.workflow DEBUG:\n",
"\t [Node] modelspec - setting input subject_info = [Bunch(amplitudes=None, conditions=['neutral', 'negative', 'reappraise'], durations=[[8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0], [8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0], [8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0]], onsets=[[10.0240290165, 30.021983146700002, 90.01618099209999, 112.02759504299999, 270.016200066, 330.010323048, 348.025982141, 450.032993078], [70.0181651115, 132.029163122, 170.025714159, 208.022401094, 248.018553972, 390.022201061, 428.018454075, 470.031553984], [50.020320177100004, 150.027595043, 190.007133961, 226.020457983, 290.031095028, 312.029373169, 368.024260044, 408.033895969]], pmod=None, regressor_names=('framewise_displacement', 'a_comp_cor_00', 'a_comp_cor_01', 'a_comp_cor_02', 'a_comp_cor_03', 'a_comp_cor_04', 'a_comp_cor_05'), regressors=([0.0, 0.10396353, 0.13240663999999994, 0.17983939, 0.15025945, 0.295318095, 0.16044519499999998, 0.17014667, 0.05341575499999999, 0.180233545, 0.14233776, 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0.0350645589, 0.000774154, -0.08088311320000001, -0.0161777908, 0.0311654064, -0.0033416738, -0.075805295, -0.034252069700000005, 0.0114795329]), tmod=None)]\n",
"181130-02:26:27,518 nipype.workflow DEBUG:\n",
"\t [Node] Directory not found \"/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/modelspec\".\n",
"181130-02:26:27,519 nipype.workflow DEBUG:\n",
"\t Checking hash \"l1.modelspec\" locally: cached=False, updated=False.\n",
"181130-02:26:27,526 nipype.workflow DEBUG:\n",
"\t [MultiProc] Submitted task l1.modelspec (taskid=14).\n",
"181130-02:26:27,528 nipype.workflow DEBUG:\n",
"\t Allocating l1.modelspec ID=17 (0.20GB, 1 threads). Free: 225.07GB, 9 threads.\n",
"181130-02:26:27,529 nipype.workflow DEBUG:\n",
"\t Setting node inputs\n",
"181130-02:26:27,530 nipype.workflow DEBUG:\n",
"\t input: functional_runs\n",
"181130-02:26:27,531 nipype.workflow DEBUG:\n",
"\t results file: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/datasource/result_datasource.pklz\n",
"181130-02:26:27,531 nipype.utils DEBUG:\n",
"\t Loading pkl: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/datasource/result_datasource.pklz\n",
"181130-02:26:27,531 nipype.workflow INFO:\n",
"\t [Node] Setting-up \"l1.modelspec\" in \"/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/modelspec\".\n",
"181130-02:26:27,536 nipype.workflow DEBUG:\n",
"\t [Node] Directory not found \"/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/modelspec\".\n",
"181130-02:26:27,540 nipype.utils DEBUG:\n",
"\t Removing contents of /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/modelspec\n",
"181130-02:26:27,543 nipype.utils DEBUG:\n",
"\t Creating directory /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/modelspec\n",
"181130-02:26:29,116 nipype.workflow DEBUG:\n",
"\t output: func\n",
"181130-02:26:29,117 nipype.workflow DEBUG:\n",
"\t [Node] modelspec - setting input functional_runs = /gablab/p/ADHDER/data/adhder/derivatives/fmriprep/sub-001/func/sub-001_task-emoregulate_rec-acqrun010_run-002_space-MNI152NLin2009cAsym_desc-preproc_bold.nii.gz\n",
"181130-02:26:30,76 nipype.workflow DEBUG:\n",
"\t input: subject_info\n",
"181130-02:26:30,78 nipype.workflow DEBUG:\n",
"\t results file: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/model_param_gen/result_model_param_gen.pklz\n",
"181130-02:26:30,79 nipype.utils DEBUG:\n",
"\t Loading pkl: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/model_param_gen/result_model_param_gen.pklz\n",
"181130-02:26:32,27 nipype.workflow DEBUG:\n",
"\t output: model_specification\n",
"181130-02:26:32,41 nipype.workflow DEBUG:\n",
"\t [Node] modelspec - setting input subject_info = [Bunch(amplitudes=None, conditions=['neutral', 'negative', 'reappraise'], durations=[[8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0], [8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0], [8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0]], onsets=[[10.0130109787, 148.033627033, 188.030020952, 210.02799296400002, 250.02385807, 270.022151947, 348.032127142, 448.022316933], [72.0237700939, 130.017867088, 168.01531601, 232.02600312200002, 290.020427942, 328.016189098, 386.024838924, 428.024410009], [32.0276720524, 54.025784969300005, 90.0179519653, 112.019976139, 308.018098116, 368.029955149, 406.02652096699995, 470.01988196400004]], pmod=None, regressor_names=('framewise_displacement', 'a_comp_cor_00', 'a_comp_cor_01', 'a_comp_cor_02', 'a_comp_cor_03', 'a_comp_cor_04', 'a_comp_cor_05'), regressors=([0.0, 0.197345, 0.08365249999999999, 0.18995339, 0.18411731, 0.09412450000000004, 0.26845556499999995, 0.103721065, 0.17200155, 0.2443565, 0.08867894999999999, 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-0.0112003993, -0.0660570888, -0.055796986500000006, -0.0248763223]), tmod=None)]\n",
"181130-02:26:32,56 nipype.workflow DEBUG:\n",
"\t [Node] Directory not found \"/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/modelspec\".\n",
"181130-02:26:32,57 nipype.workflow DEBUG:\n",
"\t Checking hash \"l1.modelspec\" locally: cached=False, updated=False.\n",
"181130-02:26:32,64 nipype.workflow DEBUG:\n",
"\t [MultiProc] Submitted task l1.modelspec (taskid=15).\n",
"181130-02:26:32,66 nipype.workflow DEBUG:\n",
"\t Allocating l1.modelspec ID=24 (0.20GB, 1 threads). Free: 224.87GB, 8 threads.\n",
"181130-02:26:32,67 nipype.workflow DEBUG:\n",
"\t Setting node inputs\n",
"181130-02:26:32,67 nipype.workflow DEBUG:\n",
"\t input: functional_runs\n",
"181130-02:26:32,68 nipype.workflow DEBUG:\n",
"\t results file: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_1/datasource/result_datasource.pklz\n",
"181130-02:26:32,69 nipype.utils DEBUG:\n",
"\t Loading pkl: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_1/datasource/result_datasource.pklz\n",
"181130-02:26:32,68 nipype.workflow INFO:\n",
"\t [Node] Setting-up \"l1.modelspec\" in \"/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/modelspec\".\n",
"181130-02:26:32,74 nipype.workflow DEBUG:\n",
"\t [Node] Directory not found \"/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/modelspec\".\n",
"181130-02:26:32,77 nipype.utils DEBUG:\n",
"\t Removing contents of /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/modelspec\n",
"181130-02:26:32,80 nipype.utils DEBUG:\n",
"\t Creating directory /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/modelspec\n",
"181130-02:26:32,705 nipype.workflow DEBUG:\n",
"\t Unable to write a particular type to the json file\n",
"181130-02:26:33,362 nipype.workflow DEBUG:\n",
"\t output: func\n",
"181130-02:26:33,364 nipype.workflow DEBUG:\n",
"\t [Node] modelspec - setting input functional_runs = /gablab/p/ADHDER/data/adhder/derivatives/fmriprep/sub-001/func/sub-001_task-emoregulate_rec-acqrun009_run-001_space-MNI152NLin2009cAsym_desc-preproc_bold.nii.gz\n",
"181130-02:26:33,361 nipype.utils DEBUG:\n",
"\t Creating directory /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/modelspec/_report181130-02:26:33,365 nipype.workflow DEBUG:\n",
"\t input: subject_info\n",
"\n",
"181130-02:26:33,367 nipype.workflow DEBUG:\n",
"\t results file: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_1/model_param_gen/result_model_param_gen.pklz\n",
"181130-02:26:33,368 nipype.utils DEBUG:\n",
"\t Loading pkl: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_1/model_param_gen/result_model_param_gen.pklz\n",
"181130-02:26:39,499 nipype.workflow DEBUG:\n",
"\t Unable to write a particular type to the json file\n",
"181130-02:26:43,569 nipype.utils DEBUG:\n",
"\t Creating directory /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/modelspec/_report181130-02:26:43,569 nipype.workflow DEBUG:\n",
"\t [Node] Writing pre-exec report to \"/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/modelspec/_report/report.rst\"\n",
"\n",
"181130-02:26:45,550 nipype.workflow DEBUG:\n",
"\t [Node] Writing pre-exec report to \"/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/modelspec/_report/report.rst\"\n",
"181130-02:26:45,555 nipype.workflow DEBUG:\n",
"\t output: model_specification\n",
"181130-02:26:45,568 nipype.workflow DEBUG:\n",
"\t [Node] modelspec - setting input subject_info = [Bunch(amplitudes=None, conditions=['neutral', 'negative', 'reappraise'], durations=[[8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0], [8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0], [8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0]], onsets=[[10.012150049199999, 28.0268611908, 84.0215740204, 188.028617144, 330.032268047, 352.030122995, 392.02651500699994, 412.02032423], [64.0236890316, 104.019168139, 146.03293705, 210.026612997, 248.023012161, 308.017530203, 432.022676229, 470.019411087], [46.0087201595, 124.01788616200001, 166.030676126, 230.02488112400002, 268.01774501799997, 290.019315004, 372.028359175, 452.021058083]], pmod=None, regressor_names=('framewise_displacement', 'a_comp_cor_00', 'a_comp_cor_01', 'a_comp_cor_02', 'a_comp_cor_03', 'a_comp_cor_04', 'a_comp_cor_05'), regressors=([0.0, 0.223199705, 0.192443355, 0.13375677000000002, 0.13335222, 0.16653686500000006, 0.289076535, 0.184844325, 0.040492165, 0.02724045, 0.155601885, 0.145389075, 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"181130-02:26:51,702 nipype.workflow DEBUG:\n",
"\t Unable to write a particular type to the json file\n",
"181130-02:26:59,163 nipype.workflow DEBUG:\n",
"\t [Node] Directory not found \"/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_1/modelspec\".\n",
"181130-02:26:59,165 nipype.workflow DEBUG:\n",
"\t Checking hash \"l1.modelspec\" locally: cached=False, updated=False.\n",
"181130-02:26:59,163 nipype.utils DEBUG:\n",
"\t Creating directory /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/modelspec/_report181130-02:26:59,174 nipype.workflow DEBUG:\n",
"\t [MultiProc] Submitted task l1.modelspec (taskid=16).\n",
"\n",
"181130-02:26:59,179 nipype.workflow DEBUG:\n",
"\t Progress: 39 jobs, 8/8/0 (done/running/ready), 8/23 (pending_tasks/waiting).\n",
"181130-02:26:59,178 nipype.workflow INFO:\n",
"\t [Node] Setting-up \"l1.modelspec\" in \"/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_1/modelspec\".181130-02:26:59,180 nipype.workflow DEBUG:\n",
"\t Tasks currently running: 8. Pending: 8.\n",
"\n",
"181130-02:26:59,184 nipype.workflow INFO:\n",
"\t [MultiProc] Running 8 tasks, and 0 jobs ready. Free memory (GB): 224.87/226.47, Free processors: 8/16.\n",
" Currently running:\n",
" * l1.modelspec\n",
" * l1.modelspec\n",
" * l1.modelspec\n",
" * l1.modelspec\n",
" * l1.mask\n",
" * l1.mask\n",
" * l1.mask\n",
" * l1.mask\n",
"181130-02:26:59,182 nipype.workflow DEBUG:\n",
"\t [Node] Directory not found \"/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_1/modelspec\".\n",
"181130-02:26:59,184 nipype.utils DEBUG:\n",
"\t Removing contents of /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_1/modelspec\n",
"181130-02:26:59,187 nipype.utils DEBUG:\n",
"\t Creating directory /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_1/modelspec\n",
"181130-02:26:59,529 nipype.workflow DEBUG:\n",
"\t [Node] Writing pre-exec report to \"/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/modelspec/_report/report.rst\"\n",
"181130-02:27:01,935 nipype.workflow DEBUG:\n",
"\t copying files to wd [execute=True, linksonly=False]\n",
"181130-02:27:01,939 nipype.utils DEBUG:\n",
"\t /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/modelspec/sub-001_task-emoregulate_rec-acqrun011_run-003_space-MNI152NLin2009cAsym_desc-preproc_bold.nii.gz\n",
"181130-02:27:02,746 nipype.utils DEBUG:\n",
"\t Symlinking File: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/modelspec/sub-001_task-emoregulate_rec-acqrun011_run-003_space-MNI152NLin2009cAsym_desc-preproc_bold.nii.gz->/gablab/p/ADHDER/data/adhder/derivatives/fmriprep/sub-001/func/sub-001_task-emoregulate_rec-acqrun011_run-003_space-MNI152NLin2009cAsym_desc-preproc_bold.nii.gz\n",
"181130-02:27:02,753 nipype.workflow DEBUG:\n",
"\t copying files to wd [execute=True, linksonly=False]\n",
"181130-02:27:02,756 nipype.utils DEBUG:\n",
"\t /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/modelspec/sub-001_task-emoregulate_rec-acqrun012_run-004_space-MNI152NLin2009cAsym_desc-preproc_bold.nii.gz\n",
"181130-02:27:03,544 nipype.utils DEBUG:\n",
"\t /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/modelspec/sub-001_task-emoregulate_rec-acqrun011_run-003_space-MNI152NLin2009cAsym_desc-preproc_bold.nii.gz\n",
"181130-02:27:04,39 nipype.utils DEBUG:\n",
"\t Symlinking File: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/modelspec/sub-001_task-emoregulate_rec-acqrun012_run-004_space-MNI152NLin2009cAsym_desc-preproc_bold.nii.gz->/gablab/p/ADHDER/data/adhder/derivatives/fmriprep/sub-001/func/sub-001_task-emoregulate_rec-acqrun012_run-004_space-MNI152NLin2009cAsym_desc-preproc_bold.nii.gz181130-02:27:04,39 nipype.utils DEBUG:\n",
"\t File: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/modelspec/sub-001_task-emoregulate_rec-acqrun011_run-003_space-MNI152NLin2009cAsym_desc-preproc_bold.nii.gz already exists, not overwriting, copy:0\n",
"\n",
"181130-02:27:04,44 nipype.workflow INFO:\n",
"\t [Node] Running \"modelspec\" (\"nipype.algorithms.modelgen.SpecifyModel\")\n",
"181130-02:27:04,716 nipype.utils DEBUG:\n",
"\t /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/modelspec/sub-001_task-emoregulate_rec-acqrun012_run-004_space-MNI152NLin2009cAsym_desc-preproc_bold.nii.gz\n",
"181130-02:27:04,720 nipype.utils DEBUG:\n",
"\t File: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/modelspec/sub-001_task-emoregulate_rec-acqrun012_run-004_space-MNI152NLin2009cAsym_desc-preproc_bold.nii.gz already exists, not overwriting, copy:0\n",
"181130-02:27:04,724 nipype.workflow INFO:\n",
"\t [Node] Running \"modelspec\" (\"nipype.algorithms.modelgen.SpecifyModel\")\n",
"181130-02:27:05,963 nipype.workflow DEBUG:\n",
"\t Unable to write a particular type to the json file\n",
"181130-02:27:08,444 nipype.utils DEBUG:\n",
"\t Creating directory /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_1/modelspec/_report\n",
"181130-02:27:09,907 nipype.workflow DEBUG:\n",
"\t [Node] Writing pre-exec report to \"/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_1/modelspec/_report/report.rst\"\n",
"181130-02:27:10,413 nipype.workflow DEBUG:\n",
"\t copying files to wd [execute=True, linksonly=False]\n",
"181130-02:27:10,417 nipype.utils DEBUG:\n",
"\t /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/modelspec/sub-001_task-emoregulate_rec-acqrun010_run-002_space-MNI152NLin2009cAsym_desc-preproc_bold.nii.gz\n",
"181130-02:27:10,810 nipype.utils DEBUG:\n",
"\t Symlinking File: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/modelspec/sub-001_task-emoregulate_rec-acqrun010_run-002_space-MNI152NLin2009cAsym_desc-preproc_bold.nii.gz->/gablab/p/ADHDER/data/adhder/derivatives/fmriprep/sub-001/func/sub-001_task-emoregulate_rec-acqrun010_run-002_space-MNI152NLin2009cAsym_desc-preproc_bold.nii.gz\n",
"181130-02:27:11,113 nipype.utils DEBUG:\n",
"\t /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/modelspec/sub-001_task-emoregulate_rec-acqrun010_run-002_space-MNI152NLin2009cAsym_desc-preproc_bold.nii.gz\n",
"181130-02:27:11,117 nipype.utils DEBUG:\n",
"\t File: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/modelspec/sub-001_task-emoregulate_rec-acqrun010_run-002_space-MNI152NLin2009cAsym_desc-preproc_bold.nii.gz already exists, not overwriting, copy:0\n",
"181130-02:27:11,122 nipype.workflow INFO:\n",
"\t [Node] Running \"modelspec\" (\"nipype.algorithms.modelgen.SpecifyModel\")\n",
"181130-02:27:11,153 nipype.workflow DEBUG:\n",
"\t Needed files: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/modelspec/sub-001_task-emoregulate_rec-acqrun012_run-004_space-MNI152NLin2009cAsym_desc-preproc_bold.nii.gz;/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/modelspec/sub-001_task-emoregulate_rec-acqrun012_run-004_space-MNI152NLin2009cAsym_desc-preproc_bold.nii.gz;/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/modelspec/_0x17d4fa6f920b75f58f8e4c9e12bf5190_unfinished.json;/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/modelspec/_inputs.pklz;/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/modelspec/_node.pklz\n",
"181130-02:27:11,156 nipype.workflow DEBUG:\n",
"\t Needed files: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/modelspec/sub-001_task-emoregulate_rec-acqrun011_run-003_space-MNI152NLin2009cAsym_desc-preproc_bold.nii.gz;/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/modelspec/sub-001_task-emoregulate_rec-acqrun011_run-003_space-MNI152NLin2009cAsym_desc-preproc_bold.nii.gz;/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/modelspec/_0x06e3f4fa728b36168b0881b2372ea411_unfinished.json;/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/modelspec/_inputs.pklz;/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/modelspec/_node.pklz181130-02:27:11,157 nipype.workflow DEBUG:\n",
"\t Needed dirs: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/modelspec/_report\n",
"\n",
"181130-02:27:11,159 nipype.workflow DEBUG:\n",
"\t Needed dirs: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/modelspec/_report181130-02:27:11,161 nipype.workflow DEBUG:\n",
"\t Removing files: \n",
"181130-02:27:11,164 nipype.workflow DEBUG:\n",
"\t Removing files: \n",
"\n",
"181130-02:27:11,199 nipype.workflow DEBUG:\n",
"\t Needed files: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/modelspec/sub-001_task-emoregulate_rec-acqrun010_run-002_space-MNI152NLin2009cAsym_desc-preproc_bold.nii.gz;/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/modelspec/sub-001_task-emoregulate_rec-acqrun010_run-002_space-MNI152NLin2009cAsym_desc-preproc_bold.nii.gz;/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/modelspec/_0x08137dc315e26719fd8ae1451266dbca_unfinished.json;/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/modelspec/_inputs.pklz;/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/modelspec/_node.pklz181130-02:27:11,199 nipype.workflow DEBUG:\n",
"\t copying files to wd [execute=True, linksonly=False]\n",
"\n",
"181130-02:27:11,203 nipype.workflow DEBUG:\n",
"\t Needed dirs: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/modelspec/_report181130-02:27:11,204 nipype.utils DEBUG:\n",
"\t /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_1/modelspec/sub-001_task-emoregulate_rec-acqrun009_run-001_space-MNI152NLin2009cAsym_desc-preproc_bold.nii.gz\n",
"\n",
"181130-02:27:11,208 nipype.workflow DEBUG:\n",
"\t Removing files: \n",
"181130-02:27:11,211 nipype.utils DEBUG:\n",
"\t Symlinking File: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_1/modelspec/sub-001_task-emoregulate_rec-acqrun009_run-001_space-MNI152NLin2009cAsym_desc-preproc_bold.nii.gz->/gablab/p/ADHDER/data/adhder/derivatives/fmriprep/sub-001/func/sub-001_task-emoregulate_rec-acqrun009_run-001_space-MNI152NLin2009cAsym_desc-preproc_bold.nii.gz\n",
"181130-02:27:11,219 nipype.utils DEBUG:\n",
"\t /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_1/modelspec/sub-001_task-emoregulate_rec-acqrun009_run-001_space-MNI152NLin2009cAsym_desc-preproc_bold.nii.gz\n",
"181130-02:27:11,223 nipype.utils DEBUG:\n",
"\t File: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_1/modelspec/sub-001_task-emoregulate_rec-acqrun009_run-001_space-MNI152NLin2009cAsym_desc-preproc_bold.nii.gz already exists, not overwriting, copy:0\n",
"181130-02:27:11,227 nipype.workflow INFO:\n",
"\t [Node] Running \"modelspec\" (\"nipype.algorithms.modelgen.SpecifyModel\")\n",
"181130-02:27:11,258 nipype.workflow DEBUG:\n",
"\t saved results in /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/modelspec/result_modelspec.pklz\n",
"181130-02:27:11,268 nipype.workflow DEBUG:\n",
"\t saved results in /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/modelspec/result_modelspec.pklz\n",
"181130-02:27:11,270 nipype.workflow DEBUG:\n",
"\t [Node] Writing post-exec report to \"/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/modelspec/_report/report.rst\"\n",
"181130-02:27:11,277 nipype.workflow DEBUG:\n",
"\t [Node] Writing post-exec report to \"/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/modelspec/_report/report.rst\"\n",
"181130-02:27:11,304 nipype.workflow DEBUG:\n",
"\t saved results in /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/modelspec/result_modelspec.pklz\n",
"181130-02:27:11,310 nipype.workflow DEBUG:\n",
"\t Needed files: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_1/modelspec/sub-001_task-emoregulate_rec-acqrun009_run-001_space-MNI152NLin2009cAsym_desc-preproc_bold.nii.gz;/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_1/modelspec/sub-001_task-emoregulate_rec-acqrun009_run-001_space-MNI152NLin2009cAsym_desc-preproc_bold.nii.gz;/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_1/modelspec/_0x5ea40ef695a62b2d2816298b2f296876_unfinished.json;/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_1/modelspec/_inputs.pklz;/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_1/modelspec/_node.pklz\n",
"181130-02:27:11,313 nipype.workflow DEBUG:\n",
"\t [Node] Writing post-exec report to \"/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/modelspec/_report/report.rst\"181130-02:27:11,314 nipype.workflow DEBUG:\n",
"\t Needed dirs: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_1/modelspec/_report\n",
"\n",
"181130-02:27:11,318 nipype.workflow DEBUG:\n",
"\t Removing files: \n",
"181130-02:27:11,330 nipype.workflow DEBUG:\n",
"\t Aggregate: False181130-02:27:11,330 nipype.workflow DEBUG:\n",
"\t Aggregate: False\n",
"\n",
"181130-02:27:11,364 nipype.workflow DEBUG:\n",
"\t Aggregate: False\n",
"181130-02:27:11,377 nipype.workflow INFO:\n",
"\t [Node] Finished \"l1.modelspec\".\n",
"181130-02:27:11,393 nipype.workflow INFO:\n",
"\t [Node] Finished \"l1.modelspec\".\n",
"181130-02:27:11,407 nipype.workflow INFO:\n",
"\t [Node] Finished \"l1.modelspec\".\n",
"181130-02:27:11,432 nipype.workflow DEBUG:\n",
"\t saved results in /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_1/modelspec/result_modelspec.pklz\n",
"181130-02:27:11,440 nipype.workflow DEBUG:\n",
"\t [Node] Writing post-exec report to \"/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_1/modelspec/_report/report.rst\"\n",
"181130-02:27:11,486 nipype.workflow DEBUG:\n",
"\t Aggregate: False\n",
"181130-02:27:11,519 nipype.workflow INFO:\n",
"\t [Node] Finished \"l1.modelspec\".\n",
"181130-02:27:13,192 nipype.workflow INFO:\n",
"\t [Job 3] Completed (l1.modelspec).\n",
"181130-02:27:13,197 nipype.workflow INFO:\n",
"\t [Job 10] Completed (l1.modelspec).\n",
"181130-02:27:13,201 nipype.workflow INFO:\n",
"\t [Job 17] Completed (l1.modelspec).\n",
"181130-02:27:13,205 nipype.workflow INFO:\n",
"\t [Job 24] Completed (l1.modelspec).\n",
"181130-02:27:13,208 nipype.workflow DEBUG:\n",
"\t Tasks currently running: 4. Pending: 4.\n",
"181130-02:27:13,211 nipype.workflow INFO:\n",
"\t [MultiProc] Running 4 tasks, and 4 jobs ready. Free memory (GB): 225.67/226.47, Free processors: 12/16.\n",
" Currently running:\n",
" * l1.mask\n",
" * l1.mask\n",
" * l1.mask\n",
" * l1.mask\n",
"181130-02:27:13,290 nipype.workflow DEBUG:\n",
"\t Allocating l1.level1design ID=4 (0.20GB, 1 threads). Free: 225.47GB, 11 threads.\n",
"181130-02:27:13,291 nipype.workflow DEBUG:\n",
"\t Setting node inputs\n",
"181130-02:27:13,292 nipype.workflow DEBUG:\n",
"\t input: contrasts\n",
"181130-02:27:13,293 nipype.workflow DEBUG:\n",
"\t results file: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/model_param_gen/result_model_param_gen.pklz\n",
"181130-02:27:13,294 nipype.utils DEBUG:\n",
"\t Loading pkl: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/model_param_gen/result_model_param_gen.pklz\n",
"181130-02:27:13,304 nipype.workflow DEBUG:\n",
"\t output: contrasts\n",
"181130-02:27:13,305 nipype.workflow DEBUG:\n",
"\t [Node] level1design - setting input contrasts = [['Reappraisal', 'T', ['reappraise'], [1]], ['Negative', 'T', ['negative'], [1]], ['Neutral', 'T', ['neutral'], [1]], ['Reappraisal > Negative', 'T', ['reappraise', 'negative'], [1, -1]], ['Negative > Neutral', 'T', ['negative', 'neutral'], [1, -1]]]\n",
"181130-02:27:13,306 nipype.workflow DEBUG:\n",
"\t input: session_info\n",
"181130-02:27:13,307 nipype.workflow DEBUG:\n",
"\t results file: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/modelspec/result_modelspec.pklz\n",
"181130-02:27:13,308 nipype.utils DEBUG:\n",
"\t Loading pkl: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/modelspec/result_modelspec.pklz\n",
"181130-02:27:13,322 nipype.workflow DEBUG:\n",
"\t output: session_info\n",
"181130-02:27:13,331 nipype.workflow DEBUG:\n",
"\t [Node] level1design - setting input session_info = [{'cond': [{'duration': [8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0], 'name': 'neutral', 'onset': [10.015431881, 28.0302989483, 86.02499389649999, 126.021333933, 242.02756500200002, 306.02132296599996, 370.015614033, 430.02635288199997]}, {'duration': [8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0], 'name': 'negative', 'onset': [50.0284099579, 144.03291702299998, 184.032646894, 222.012332916, 264.025460005, 328.019345045, 388.03055501, 470.02306389800003]}, {'duration': [8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0], 'name': 'reappraise', 'onset': [68.0096509457, 108.02294802700001, 164.01789903600002, 202.03100895900002, 284.023580074, 348.017371893, 408.028724909, 452.02427911800004]}], 'hpf': 128.0, 'regress': [{'name': 'framewise_displacement', 'val': [0.0, 0.12330194000000005, 0.06870277999999999, 0.12597495, 0.1227278, 0.06433522, 0.0876575765, 0.1109605265, 0.06461855000000001, 0.06034988, 0.12243437, 0.09610107, 0.041912599999999994, 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'/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/modelspec/sub-001_task-emoregulate_rec-acqrun012_run-004_space-MNI152NLin2009cAsym_desc-preproc_bold.nii.gz'}]\n",
"181130-02:27:13,372 nipype.workflow DEBUG:\n",
"\t [Node] Directory not found \"/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/level1design\".\n",
"181130-02:27:13,373 nipype.workflow DEBUG:\n",
"\t Checking hash \"l1.level1design\" locally: cached=False, updated=False.\n",
"181130-02:27:13,378 nipype.workflow DEBUG:\n",
"\t [MultiProc] Submitted task l1.level1design (taskid=17).\n",
"181130-02:27:13,399 nipype.workflow DEBUG:\n",
"\t Allocating l1.level1design ID=11 (0.20GB, 1 threads). Free: 225.27GB, 10 threads.\n",
"181130-02:27:13,400 nipype.workflow DEBUG:\n",
"\t Setting node inputs\n",
"181130-02:27:13,401 nipype.workflow DEBUG:\n",
"\t input: contrasts\n",
"181130-02:27:13,402 nipype.workflow DEBUG:\n",
"\t results file: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/model_param_gen/result_model_param_gen.pklz\n",
"181130-02:27:13,403 nipype.utils DEBUG:\n",
"\t Loading pkl: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/model_param_gen/result_model_param_gen.pklz\n",
"181130-02:27:13,401 nipype.workflow INFO:\n",
"\t [Node] Setting-up \"l1.level1design\" in \"/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/level1design\".\n",
"181130-02:27:13,404 nipype.workflow DEBUG:\n",
"\t [Node] Directory not found \"/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/level1design\".\n",
"181130-02:27:13,407 nipype.utils DEBUG:\n",
"\t Removing contents of /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/level1design\n",
"181130-02:27:13,410 nipype.utils DEBUG:\n",
"\t Creating directory /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/level1design\n",
"181130-02:27:13,415 nipype.workflow DEBUG:\n",
"\t output: contrasts\n",
"181130-02:27:13,416 nipype.workflow DEBUG:\n",
"\t [Node] level1design - setting input contrasts = [['Reappraisal', 'T', ['reappraise'], [1]], ['Negative', 'T', ['negative'], [1]], ['Neutral', 'T', ['neutral'], [1]], ['Reappraisal > Negative', 'T', ['reappraise', 'negative'], [1, -1]], ['Negative > Neutral', 'T', ['negative', 'neutral'], [1, -1]]]\n",
"181130-02:27:13,417 nipype.workflow DEBUG:\n",
"\t input: session_info\n",
"181130-02:27:13,418 nipype.workflow DEBUG:\n",
"\t results file: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/modelspec/result_modelspec.pklz\n",
"181130-02:27:13,419 nipype.utils DEBUG:\n",
"\t Loading pkl: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/modelspec/result_modelspec.pklz\n",
"181130-02:27:13,442 nipype.workflow DEBUG:\n",
"\t output: session_info\n",
"181130-02:27:13,456 nipype.workflow DEBUG:\n",
"\t [Node] level1design - setting input session_info = [{'cond': [{'duration': [8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0], 'name': 'neutral', 'onset': [10.0240290165, 30.021983146700002, 90.01618099209999, 112.02759504299999, 270.016200066, 330.010323048, 348.025982141, 450.032993078]}, {'duration': [8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0], 'name': 'negative', 'onset': [70.0181651115, 132.029163122, 170.025714159, 208.022401094, 248.018553972, 390.022201061, 428.018454075, 470.031553984]}, {'duration': [8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0], 'name': 'reappraise', 'onset': [50.020320177100004, 150.027595043, 190.007133961, 226.020457983, 290.031095028, 312.029373169, 368.024260044, 408.033895969]}], 'hpf': 128.0, 'regress': [{'name': 'framewise_displacement', 'val': [0.0, 0.10396353, 0.13240663999999994, 0.17983939, 0.15025945, 0.295318095, 0.16044519499999998, 0.17014667, 0.05341575499999999, 0.180233545, 0.14233776, 0.11140610000000002, 0.11690764599999999, 0.06297867600000001, 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"181130-02:27:13,454 nipype.utils DEBUG:\n",
"\t Creating directory /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/level1design/_report\n",
"181130-02:27:13,526 nipype.workflow DEBUG:\n",
"\t [Node] Directory not found \"/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/level1design\".\n",
"181130-02:27:13,459 nipype.workflow DEBUG:\n",
"\t [Node] Writing pre-exec report to \"/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/level1design/_report/report.rst\"181130-02:27:13,527 nipype.workflow DEBUG:\n",
"\t Checking hash \"l1.level1design\" locally: cached=False, updated=False.\n",
"\n",
"181130-02:27:13,537 nipype.workflow DEBUG:\n",
"\t [MultiProc] Submitted task l1.level1design (taskid=18).\n",
"181130-02:27:13,550 nipype.workflow DEBUG:\n",
"\t Allocating l1.level1design ID=18 (0.20GB, 1 threads). Free: 225.07GB, 9 threads.\n",
"181130-02:27:13,551 nipype.workflow DEBUG:\n",
"\t Setting node inputs\n",
"181130-02:27:13,552 nipype.workflow DEBUG:\n",
"\t input: contrasts\n",
"181130-02:27:13,551 nipype.workflow INFO:\n",
"\t [Node] Setting-up \"l1.level1design\" in \"/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/level1design\".181130-02:27:13,554 nipype.workflow DEBUG:\n",
"\t results file: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/model_param_gen/result_model_param_gen.pklz\n",
"\n",
"181130-02:27:13,554 nipype.workflow DEBUG:\n",
"\t [Node] Directory not found \"/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/level1design\".181130-02:27:13,555 nipype.utils DEBUG:\n",
"\t Loading pkl: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/model_param_gen/result_model_param_gen.pklz\n",
"\n",
"181130-02:27:13,556 nipype.utils DEBUG:\n",
"\t Removing contents of /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/level1design\n",
"181130-02:27:13,559 nipype.utils DEBUG:\n",
"\t Creating directory /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/level1design\n",
"181130-02:27:13,565 nipype.workflow DEBUG:\n",
"\t output: contrasts\n",
"181130-02:27:13,566 nipype.workflow DEBUG:\n",
"\t [Node] level1design - setting input contrasts = [['Reappraisal', 'T', ['reappraise'], [1]], ['Negative', 'T', ['negative'], [1]], ['Neutral', 'T', ['neutral'], [1]], ['Reappraisal > Negative', 'T', ['reappraise', 'negative'], [1, -1]], ['Negative > Neutral', 'T', ['negative', 'neutral'], [1, -1]]]\n",
"181130-02:27:13,567 nipype.workflow DEBUG:\n",
"\t input: session_info\n",
"181130-02:27:13,568 nipype.workflow DEBUG:\n",
"\t results file: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/modelspec/result_modelspec.pklz\n",
"181130-02:27:13,568 nipype.utils DEBUG:\n",
"\t Loading pkl: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/modelspec/result_modelspec.pklz\n",
"181130-02:27:13,582 nipype.workflow DEBUG:\n",
"\t output: session_info\n",
"181130-02:27:13,589 nipype.workflow DEBUG:\n",
"\t [Node] level1design - setting input session_info = [{'cond': [{'duration': [8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0], 'name': 'neutral', 'onset': [10.0130109787, 148.033627033, 188.030020952, 210.02799296400002, 250.02385807, 270.022151947, 348.032127142, 448.022316933]}, {'duration': [8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0], 'name': 'negative', 'onset': [72.0237700939, 130.017867088, 168.01531601, 232.02600312200002, 290.020427942, 328.016189098, 386.024838924, 428.024410009]}, {'duration': [8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0], 'name': 'reappraise', 'onset': [32.0276720524, 54.025784969300005, 90.0179519653, 112.019976139, 308.018098116, 368.029955149, 406.02652096699995, 470.01988196400004]}], 'hpf': 128.0, 'regress': [{'name': 'framewise_displacement', 'val': [0.0, 0.197345, 0.08365249999999999, 0.18995339, 0.18411731, 0.09412450000000004, 0.26845556499999995, 0.103721065, 0.17200155, 0.2443565, 0.08867894999999999, 0.23884268, 0.24993263, 0.06351273, 0.26386721, 0.05693244, 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-0.0099742856, -0.077716619, 0.0316044797, 0.0296829838, -0.006414609, -0.0112003993, -0.0660570888, -0.055796986500000006, -0.0248763223]}], 'scans': '/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/modelspec/sub-001_task-emoregulate_rec-acqrun010_run-002_space-MNI152NLin2009cAsym_desc-preproc_bold.nii.gz'}]\n",
"181130-02:27:13,598 nipype.utils DEBUG:\n",
"\t Creating directory /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/level1design/_report181130-02:27:13,625 nipype.workflow DEBUG:\n",
"\t [Node] Directory not found \"/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/level1design\".\n",
"\n",
"181130-02:27:13,626 nipype.workflow DEBUG:\n",
"\t Checking hash \"l1.level1design\" locally: cached=False, updated=False.\n",
"181130-02:27:13,603 nipype.workflow DEBUG:\n",
"\t [Node] Writing pre-exec report to \"/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/level1design/_report/report.rst\"181130-02:27:13,631 nipype.workflow DEBUG:\n",
"\t [MultiProc] Submitted task l1.level1design (taskid=19).\n",
"\n",
"181130-02:27:13,641 nipype.workflow DEBUG:\n",
"\t Allocating l1.level1design ID=25 (0.20GB, 1 threads). Free: 224.87GB, 8 threads.\n",
"181130-02:27:13,639 nipype.workflow INFO:\n",
"\t [Node] Running \"level1design\" (\"nipype.interfaces.fsl.model.Level1Design\")181130-02:27:13,642 nipype.workflow DEBUG:\n",
"\t Setting node inputs\n",
"\n",
"181130-02:27:13,643 nipype.workflow INFO:\n",
"\t [Node] Setting-up \"l1.level1design\" in \"/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/level1design\".\n",
"181130-02:27:13,646 nipype.workflow DEBUG:\n",
"\t input: contrasts\n",
"181130-02:27:13,646 nipype.workflow DEBUG:\n",
"\t results file: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_1/model_param_gen/result_model_param_gen.pklz\n",
"181130-02:27:13,647 nipype.utils DEBUG:\n",
"\t Loading pkl: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_1/model_param_gen/result_model_param_gen.pklz\n",
"181130-02:27:13,646 nipype.workflow DEBUG:\n",
"\t [Node] Directory not found \"/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/level1design\".\n",
"181130-02:27:13,649 nipype.utils DEBUG:\n",
"\t Removing contents of /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/level1design\n",
"181130-02:27:13,651 nipype.utils DEBUG:\n",
"\t Creating directory /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/level1design\n",
"181130-02:27:13,658 nipype.workflow DEBUG:\n",
"\t output: contrasts\n",
"181130-02:27:13,659 nipype.workflow DEBUG:\n",
"\t [Node] level1design - setting input contrasts = [['Reappraisal', 'T', ['reappraise'], [1]], ['Negative', 'T', ['negative'], [1]], ['Neutral', 'T', ['neutral'], [1]], ['Reappraisal > Negative', 'T', ['reappraise', 'negative'], [1, -1]], ['Negative > Neutral', 'T', ['negative', 'neutral'], [1, -1]]]\n",
"181130-02:27:13,660 nipype.workflow DEBUG:\n",
"\t input: session_info\n",
"181130-02:27:13,661 nipype.workflow DEBUG:\n",
"\t results file: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_1/modelspec/result_modelspec.pklz\n",
"181130-02:27:13,662 nipype.utils DEBUG:\n",
"\t Loading pkl: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_1/modelspec/result_modelspec.pklz\n",
"181130-02:27:13,682 nipype.workflow DEBUG:\n",
"\t output: session_info\n",
"181130-02:27:13,694 nipype.workflow DEBUG:\n",
"\t [Node] level1design - setting input session_info = [{'cond': [{'duration': [8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0], 'name': 'neutral', 'onset': [10.012150049199999, 28.0268611908, 84.0215740204, 188.028617144, 330.032268047, 352.030122995, 392.02651500699994, 412.02032423]}, {'duration': [8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0], 'name': 'negative', 'onset': [64.0236890316, 104.019168139, 146.03293705, 210.026612997, 248.023012161, 308.017530203, 432.022676229, 470.019411087]}, {'duration': [8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0], 'name': 'reappraise', 'onset': [46.0087201595, 124.01788616200001, 166.030676126, 230.02488112400002, 268.01774501799997, 290.019315004, 372.028359175, 452.021058083]}], 'hpf': 128.0, 'regress': [{'name': 'framewise_displacement', 'val': [0.0, 0.223199705, 0.192443355, 0.13375677000000002, 0.13335222, 0.16653686500000006, 0.289076535, 0.184844325, 0.040492165, 0.02724045, 0.155601885, 0.145389075, 0.08565135849999997, 0.0800873035, 0.11945797, 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-0.0055169368, -0.0170609427, -0.0001228901, 0.0086610774, 0.0896680451, 0.008125737099999999, -0.080334972, 0.0766144943, -0.0520114979, 0.0793845792, 0.0090417216, -0.0305267732, -0.0673817089, -0.0283586511, -0.0453186837, 0.0055203237, -0.03236665, -0.0406511549, -0.0583363475, -0.028159712200000006, 0.0310697425, 0.0223051482, 0.0305403236, -0.0052723055, 0.06805840889999999, -0.0168985493, -0.0455836103, -0.0712957422, -0.015837727700000002, -0.0011455532000000002, 0.0523825939, -0.0025529355, -0.047544834400000006, -0.128513856, -0.0133895596, 0.0278590665, 0.0603053797, -0.026556262200000003, -0.0427767692, 0.0471486992, 0.0753868902, 0.0318476163, 0.1264529558, 0.028859472, -0.0276273962, -0.036428782, 0.0189767503, 0.0307587244, 0.1030435958, -0.0276694848, -0.0495163105, -0.0414205634, 0.0289787205, 0.0891383096, 0.0057431864, 0.059394209800000014, 0.0924994379, -0.0173742545, 0.0287004756, -0.0003163412, -0.0456317589, -0.0523781228, -0.0255442885, -0.0815718242, -0.06790239990000001, -0.0017761609, 0.0097226769, -0.0112162778, 0.0006251013, -0.0706060444, -0.0410129683, 0.016588846100000002, 0.0341193416, 0.0560280328, 0.0828131206, 0.0614636563, -0.0374354537, -0.0200933472, -0.15646972550000002, -0.0983080365, -0.0520814462, -0.0575537962, -0.0580118371, -0.0238501437, -0.0112305092, 0.0156957878, 0.0367487888, -0.0194907984, 0.0464288023, 0.0661397692, 0.0561813605, 0.0557248235, -0.0207117833, -0.016335118500000002, -0.0495821479, 0.0177135996, 0.0394526187, 0.0364209348, 0.0663051809, 0.0205135154, 0.033997568, 0.0796699345, 0.0446701082, 0.0280765142, -0.0390483888, -0.1077397218, -0.0227354634, -0.0148596065, 0.0004288877, 0.002360552, -0.0071654129, -0.0110651472, -0.0030561773, -0.0142403495, 0.012200807, -0.0093802989, -0.0591732056, -0.0038350935, 0.0080597338, 0.052523052, 0.0735133975, -0.0215270176, -0.0306188136, 0.0359975605, 0.0819535904, -0.0343827737, -0.0425725659, 0.0058027698, 0.0774009527, 0.0975194804, -0.0046553133, -0.0076721164, 0.0776204056, -0.0161808424, -0.0308985625, -0.0140081285, 0.0053832017000000005, -0.0242456777, -0.0156249549, 0.035424609, -0.0494467555, -0.0694240607, -0.0371803502, 0.0004155337, -0.0238065493, -0.0990239736, 0.0051390416, 0.0298295655, -0.0041301378, 0.0212458524, 0.08097448089999999, 0.0522142596, 0.0117489521, -0.0446829263, -0.0875828007, -0.0509228395, -0.0219386687, -0.0139079026, 0.0223050322, -0.0434217429, -0.06629236, 0.009085796, 0.0448987906, 0.0144288426, -0.0299473594, -0.020070793, 0.0463778253, -0.0246282351, -0.0909841508, -0.029002921, 0.0333042105, 0.0532722808, 0.013109446499999998, 0.0473596152, 0.0244285563, -0.0400372003, -0.0303682584, 0.0209366558, 0.052456022699999987, 0.0489912896, 0.0114278569, 0.0417644739, 0.0313925066, -0.0032423452000000003, 0.0133658951, 0.0272259585, 0.0068790808, -0.026410502, -0.053110386900000014, -0.0056231409, 0.0436109417, 0.024057569, -0.0660847341, 0.0205068243, -0.0263976727, -0.0431177117, -0.0411989338, 0.011355356100000002, -0.007341922099999999, -0.0164810821, 0.0301815359, 0.052347384, 0.0492804864, -0.0159548833, 0.017980343200000002, -0.0221937809, -0.0359786381, -0.0159184874, 0.0211756453, 0.0425340649, 0.0107156173, 0.08542223130000001, 0.0255172454, -0.0495875329, -0.05363324, -0.0184956321, -0.0063618729, -0.007703929, 0.0301327437, -0.0041250486, 0.0113623134, -0.0242644978, -0.046576827800000005, -0.0075515605, 0.053463514800000014, 0.0482245742, -0.0076701791, -0.0629849143, -0.0319513045, -0.0657598857, 0.0170502276, 0.0332920039, 0.0143709102, 0.0270464411, 0.0109652208, -0.0733507961, -0.0826937432, -0.0125465656, 0.033568751200000004, 0.0740982596, -0.0386138436, -0.0304796728, -0.0268027324, -0.0378702269, 0.0755315543, 0.0101696847, -0.0129503236, -0.0048156105, 0.05887767400000001, 0.076331939, 0.0663412365, 0.021699678, -0.043695453, 0.0039291814000000005, 0.0471995963, -0.0432889997, -0.036394079700000005, -0.0224406321, -0.0182523917, 0.0371268377, -0.0005024064, -0.0513201892, -0.0098173169, -0.0071266638, 0.0130055791, 0.0108118045]}], 'scans': '/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_1/modelspec/sub-001_task-emoregulate_rec-acqrun009_run-001_space-MNI152NLin2009cAsym_desc-preproc_bold.nii.gz'}]\n",
"181130-02:27:13,697 nipype.utils DEBUG:\n",
"\t Creating directory /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/level1design/_report\n",
"181130-02:27:13,758 nipype.workflow DEBUG:\n",
"\t [Node] Directory not found \"/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_1/level1design\".\n",
"181130-02:27:13,703 nipype.workflow DEBUG:\n",
"\t [Node] Writing pre-exec report to \"/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/level1design/_report/report.rst\"181130-02:27:13,759 nipype.workflow DEBUG:\n",
"\t Checking hash \"l1.level1design\" locally: cached=False, updated=False.\n",
"\n",
"181130-02:27:13,769 nipype.workflow DEBUG:\n",
"\t [MultiProc] Submitted task l1.level1design (taskid=20).\n",
"181130-02:27:13,767 nipype.workflow INFO:\n",
"\t [Node] Running \"level1design\" (\"nipype.interfaces.fsl.model.Level1Design\")\n",
"181130-02:27:13,788 nipype.workflow INFO:\n",
"\t [Node] Setting-up \"l1.level1design\" in \"/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_1/level1design\".\n",
"181130-02:27:13,791 nipype.workflow DEBUG:\n",
"\t [Node] Directory not found \"/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_1/level1design\".\n",
"181130-02:27:13,793 nipype.utils DEBUG:\n",
"\t Removing contents of /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_1/level1design\n",
"181130-02:27:13,796 nipype.utils DEBUG:\n",
"\t Creating directory /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_1/level1design\n",
"181130-02:27:13,834 nipype.utils DEBUG:\n",
"\t Creating directory /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_1/level1design/_report\n",
"181130-02:27:13,840 nipype.workflow DEBUG:\n",
"\t [Node] Writing pre-exec report to \"/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_1/level1design/_report/report.rst\"\n",
"181130-02:27:13,885 nipype.workflow INFO:\n",
"\t [Node] Running \"level1design\" (\"nipype.interfaces.fsl.model.Level1Design\")\n",
"181130-02:27:13,895 nipype.workflow DEBUG:\n",
"\t Needed files: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/level1design/run0.fsf;/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/level1design/ev_neutral_0_1.txt;/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/level1design/ev_negative_0_3.txt;/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/level1design/ev_reappraise_0_5.txt;/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/level1design/ev_framewise_displacement_0_7.txt;/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/level1design/ev_a_comp_cor_00_0_8.txt;/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/level1design/ev_a_comp_cor_01_0_9.txt;/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/level1design/ev_a_comp_cor_02_0_10.txt;/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/level1design/ev_a_comp_cor_03_0_11.txt;/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/level1design/ev_a_comp_cor_04_0_12.txt;/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/level1design/ev_a_comp_cor_05_0_13.txt;/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/modelspec/sub-001_task-emoregulate_rec-acqrun012_run-004_space-MNI152NLin2009cAsym_desc-preproc_bold.nii.gz;/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/level1design/_0x73233aaaca0ffcda29681503ba3a6e00_unfinished.json;/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/level1design/_inputs.pklz;/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/level1design/_node.pklz\n",
"181130-02:27:13,902 nipype.workflow DEBUG:\n",
"\t Needed dirs: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/level1design/_report\n",
"181130-02:27:13,905 nipype.workflow DEBUG:\n",
"\t Removing files: \n",
"181130-02:27:13,926 nipype.workflow DEBUG:\n",
"\t saved results in /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/level1design/result_level1design.pklz\n",
"181130-02:27:13,939 nipype.workflow DEBUG:\n",
"\t [Node] Writing post-exec report to \"/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/level1design/_report/report.rst\"\n",
"181130-02:27:13,975 nipype.workflow DEBUG:\n",
"\t Needed files: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/level1design/run0.fsf;/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/level1design/ev_neutral_0_1.txt;/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/level1design/ev_negative_0_3.txt;/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/level1design/ev_reappraise_0_5.txt;/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/level1design/ev_framewise_displacement_0_7.txt;/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/level1design/ev_a_comp_cor_00_0_8.txt;/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/level1design/ev_a_comp_cor_01_0_9.txt;/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/level1design/ev_a_comp_cor_02_0_10.txt;/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/level1design/ev_a_comp_cor_03_0_11.txt;/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/level1design/ev_a_comp_cor_04_0_12.txt;/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/level1design/ev_a_comp_cor_05_0_13.txt;/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/modelspec/sub-001_task-emoregulate_rec-acqrun011_run-003_space-MNI152NLin2009cAsym_desc-preproc_bold.nii.gz;/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/level1design/_0x1887c541676af1f43d332192f8ce13e0_unfinished.json;/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/level1design/_inputs.pklz;/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/level1design/_node.pklz181130-02:27:13,976 nipype.workflow DEBUG:\n",
"\t Aggregate: False\n",
"\n",
"181130-02:27:13,979 nipype.workflow DEBUG:\n",
"\t Needed dirs: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/level1design/_report\n",
"181130-02:27:13,983 nipype.workflow DEBUG:\n",
"\t Removing files: \n",
"181130-02:27:13,991 nipype.workflow INFO:\n",
"\t [Node] Finished \"l1.level1design\".\n",
"181130-02:27:14,8 nipype.workflow INFO:\n",
"\t [Node] Running \"level1design\" (\"nipype.interfaces.fsl.model.Level1Design\")\n",
"181130-02:27:14,10 nipype.workflow DEBUG:\n",
"\t saved results in /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/level1design/result_level1design.pklz\n",
"181130-02:27:14,18 nipype.workflow DEBUG:\n",
"\t [Node] Writing post-exec report to \"/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/level1design/_report/report.rst\"\n",
"181130-02:27:14,43 nipype.workflow DEBUG:\n",
"\t Aggregate: False\n",
"181130-02:27:14,58 nipype.workflow INFO:\n",
"\t [Node] Finished \"l1.level1design\".\n",
"181130-02:27:14,83 nipype.workflow DEBUG:\n",
"\t Needed files: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/level1design/run0.fsf;/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/level1design/ev_neutral_0_1.txt;/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/level1design/ev_negative_0_3.txt;/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/level1design/ev_reappraise_0_5.txt;/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/level1design/ev_framewise_displacement_0_7.txt;/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/level1design/ev_a_comp_cor_00_0_8.txt;/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/level1design/ev_a_comp_cor_01_0_9.txt;/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/level1design/ev_a_comp_cor_02_0_10.txt;/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/level1design/ev_a_comp_cor_03_0_11.txt;/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/level1design/ev_a_comp_cor_04_0_12.txt;/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/level1design/ev_a_comp_cor_05_0_13.txt;/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/modelspec/sub-001_task-emoregulate_rec-acqrun010_run-002_space-MNI152NLin2009cAsym_desc-preproc_bold.nii.gz;/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/level1design/_0x33dd2e3bacef7be172fbbb64ab9526b3_unfinished.json;/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/level1design/_inputs.pklz;/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/level1design/_node.pklz\n",
"181130-02:27:14,88 nipype.workflow DEBUG:\n",
"\t Needed dirs: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/level1design/_report\n",
"181130-02:27:14,92 nipype.workflow DEBUG:\n",
"\t Removing files: \n",
"181130-02:27:14,117 nipype.workflow DEBUG:\n",
"\t saved results in /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/level1design/result_level1design.pklz\n",
"181130-02:27:14,127 nipype.workflow DEBUG:\n",
"\t [Node] Writing post-exec report to \"/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/level1design/_report/report.rst\"\n",
"181130-02:27:14,158 nipype.workflow DEBUG:\n",
"\t Aggregate: False\n",
"181130-02:27:14,172 nipype.workflow INFO:\n",
"\t [Node] Finished \"l1.level1design\".\n",
"181130-02:27:14,187 nipype.workflow DEBUG:\n",
"\t Needed files: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_1/level1design/run0.fsf;/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_1/level1design/ev_neutral_0_1.txt;/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_1/level1design/ev_negative_0_3.txt;/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_1/level1design/ev_reappraise_0_5.txt;/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_1/level1design/ev_framewise_displacement_0_7.txt;/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_1/level1design/ev_a_comp_cor_00_0_8.txt;/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_1/level1design/ev_a_comp_cor_01_0_9.txt;/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_1/level1design/ev_a_comp_cor_02_0_10.txt;/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_1/level1design/ev_a_comp_cor_03_0_11.txt;/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_1/level1design/ev_a_comp_cor_04_0_12.txt;/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_1/level1design/ev_a_comp_cor_05_0_13.txt;/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_1/modelspec/sub-001_task-emoregulate_rec-acqrun009_run-001_space-MNI152NLin2009cAsym_desc-preproc_bold.nii.gz;/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_1/level1design/_0x0c429a764eef1c88df5748f01bd2631b_unfinished.json;/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_1/level1design/_inputs.pklz;/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_1/level1design/_node.pklz\n",
"181130-02:27:14,191 nipype.workflow DEBUG:\n",
"\t Needed dirs: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_1/level1design/_report\n",
"181130-02:27:14,194 nipype.workflow DEBUG:\n",
"\t Removing files: \n",
"181130-02:27:14,218 nipype.workflow DEBUG:\n",
"\t saved results in /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_1/level1design/result_level1design.pklz\n",
"181130-02:27:14,227 nipype.workflow DEBUG:\n",
"\t [Node] Writing post-exec report to \"/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_1/level1design/_report/report.rst\"\n",
"181130-02:27:14,261 nipype.workflow DEBUG:\n",
"\t Aggregate: False\n",
"181130-02:27:14,275 nipype.workflow INFO:\n",
"\t [Node] Finished \"l1.level1design\".\n",
"181130-02:27:15,194 nipype.workflow DEBUG:\n",
"\t Progress: 39 jobs, 12/8/0 (done/running/ready), 8/19 (pending_tasks/waiting).\n",
"181130-02:27:15,195 nipype.workflow INFO:\n",
"\t [Job 4] Completed (l1.level1design).\n",
"181130-02:27:15,198 nipype.workflow INFO:\n",
"\t [Job 11] Completed (l1.level1design).\n",
"181130-02:27:15,200 nipype.workflow INFO:\n",
"\t [Job 18] Completed (l1.level1design).\n",
"181130-02:27:15,203 nipype.workflow INFO:\n",
"\t [Job 25] Completed (l1.level1design).\n",
"181130-02:27:15,206 nipype.workflow DEBUG:\n",
"\t Tasks currently running: 4. Pending: 4.\n",
"181130-02:27:15,209 nipype.workflow INFO:\n",
"\t [MultiProc] Running 4 tasks, and 4 jobs ready. Free memory (GB): 225.67/226.47, Free processors: 12/16.\n",
" Currently running:\n",
" * l1.mask\n",
" * l1.mask\n",
" * l1.mask\n",
" * l1.mask\n",
"181130-02:27:15,294 nipype.workflow DEBUG:\n",
"\t Allocating l1.feat_model_gen ID=5 (0.20GB, 1 threads). Free: 225.47GB, 11 threads.\n",
"181130-02:27:15,296 nipype.workflow DEBUG:\n",
"\t Setting node inputs\n",
"181130-02:27:15,297 nipype.workflow DEBUG:\n",
"\t input: fsf_file\n",
"181130-02:27:15,298 nipype.workflow DEBUG:\n",
"\t results file: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/level1design/result_level1design.pklz\n",
"181130-02:27:15,299 nipype.utils DEBUG:\n",
"\t Loading pkl: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/level1design/result_level1design.pklz\n",
"181130-02:27:15,310 nipype.workflow DEBUG:\n",
"\t output: fsf_files\n",
"181130-02:27:15,312 nipype.workflow DEBUG:\n",
"\t [Node] feat_model_gen - setting input fsf_file = /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/level1design/run0.fsf\n",
"181130-02:27:15,314 nipype.workflow DEBUG:\n",
"\t input: ev_files\n",
"181130-02:27:15,316 nipype.workflow DEBUG:\n",
"\t results file: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/level1design/result_level1design.pklz\n",
"181130-02:27:15,318 nipype.utils DEBUG:\n",
"\t Loading pkl: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/level1design/result_level1design.pklz\n",
"181130-02:27:15,327 nipype.workflow DEBUG:\n",
"\t output: ev_files\n",
"181130-02:27:15,328 nipype.workflow DEBUG:\n",
"\t [Node] feat_model_gen - setting input ev_files = ['/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/level1design/ev_neutral_0_1.txt', '/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/level1design/ev_negative_0_3.txt', '/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/level1design/ev_reappraise_0_5.txt', '/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/level1design/ev_framewise_displacement_0_7.txt', '/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/level1design/ev_a_comp_cor_00_0_8.txt', '/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/level1design/ev_a_comp_cor_01_0_9.txt', '/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/level1design/ev_a_comp_cor_02_0_10.txt', '/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/level1design/ev_a_comp_cor_03_0_11.txt', '/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/level1design/ev_a_comp_cor_04_0_12.txt', '/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/level1design/ev_a_comp_cor_05_0_13.txt']\n",
"181130-02:27:15,334 nipype.workflow DEBUG:\n",
"\t [Node] Directory not found \"/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/feat_model_gen\".\n",
"181130-02:27:15,336 nipype.workflow DEBUG:\n",
"\t Checking hash \"l1.feat_model_gen\" locally: cached=False, updated=False.\n",
"181130-02:27:15,339 nipype.workflow DEBUG:\n",
"\t [MultiProc] Submitted task l1.feat_model_gen (taskid=21).\n",
"181130-02:27:15,342 nipype.workflow DEBUG:\n",
"\t Allocating l1.feat_model_gen ID=12 (0.20GB, 1 threads). Free: 225.27GB, 10 threads.\n",
"181130-02:27:15,344 nipype.workflow DEBUG:\n",
"\t Setting node inputs\n",
"181130-02:27:15,342 nipype.workflow INFO:\n",
"\t [Node] Setting-up \"l1.feat_model_gen\" in \"/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/feat_model_gen\".181130-02:27:15,345 nipype.workflow DEBUG:\n",
"\t input: fsf_file\n",
"\n",
"181130-02:27:15,347 nipype.workflow DEBUG:\n",
"\t results file: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/level1design/result_level1design.pklz\n",
"181130-02:27:15,345 nipype.workflow DEBUG:\n",
"\t [Node] Directory not found \"/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/feat_model_gen\".181130-02:27:15,349 nipype.utils DEBUG:\n",
"\t Loading pkl: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/level1design/result_level1design.pklz\n",
"\n",
"181130-02:27:15,347 nipype.utils DEBUG:\n",
"\t Removing contents of /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/feat_model_gen\n",
"181130-02:27:15,350 nipype.utils DEBUG:\n",
"\t Creating directory /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/feat_model_gen\n",
"181130-02:27:15,359 nipype.workflow DEBUG:\n",
"\t output: fsf_files\n",
"181130-02:27:15,360 nipype.workflow DEBUG:\n",
"\t [Node] feat_model_gen - setting input fsf_file = /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/level1design/run0.fsf\n",
"181130-02:27:15,361 nipype.workflow DEBUG:\n",
"\t input: ev_files\n",
"181130-02:27:15,363 nipype.workflow DEBUG:\n",
"\t results file: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/level1design/result_level1design.pklz\n",
"181130-02:27:15,364 nipype.utils DEBUG:\n",
"\t Loading pkl: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/level1design/result_level1design.pklz\n",
"181130-02:27:15,373 nipype.workflow DEBUG:\n",
"\t output: ev_files\n",
"181130-02:27:15,374 nipype.workflow DEBUG:\n",
"\t [Node] feat_model_gen - setting input ev_files = ['/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/level1design/ev_neutral_0_1.txt', '/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/level1design/ev_negative_0_3.txt', '/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/level1design/ev_reappraise_0_5.txt', '/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/level1design/ev_framewise_displacement_0_7.txt', '/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/level1design/ev_a_comp_cor_00_0_8.txt', '/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/level1design/ev_a_comp_cor_01_0_9.txt', '/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/level1design/ev_a_comp_cor_02_0_10.txt', '/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/level1design/ev_a_comp_cor_03_0_11.txt', '/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/level1design/ev_a_comp_cor_04_0_12.txt', '/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/level1design/ev_a_comp_cor_05_0_13.txt']\n",
"181130-02:27:15,382 nipype.workflow DEBUG:\n",
"\t [Node] Directory not found \"/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/feat_model_gen\".\n",
"181130-02:27:15,383 nipype.workflow DEBUG:\n",
"\t Checking hash \"l1.feat_model_gen\" locally: cached=False, updated=False.\n",
"181130-02:27:15,386 nipype.utils DEBUG:\n",
"\t Creating directory /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/feat_model_gen/_report181130-02:27:15,388 nipype.workflow DEBUG:\n",
"\t [MultiProc] Submitted task l1.feat_model_gen (taskid=22).\n",
"181130-02:27:15,390 nipype.workflow DEBUG:\n",
"\t Allocating l1.feat_model_gen ID=19 (0.20GB, 1 threads). Free: 225.07GB, 9 threads.\n",
"\n",
"181130-02:27:15,391 nipype.workflow DEBUG:\n",
"\t Setting node inputs\n",
"181130-02:27:15,390 nipype.workflow INFO:\n",
"\t [Node] Setting-up \"l1.feat_model_gen\" in \"/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/feat_model_gen\".181130-02:27:15,393 nipype.workflow DEBUG:\n",
"\t input: fsf_file\n",
"\n",
"181130-02:27:15,395 nipype.workflow DEBUG:\n",
"\t results file: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/level1design/result_level1design.pklz\n",
"181130-02:27:15,392 nipype.workflow DEBUG:\n",
"\t [Node] Writing pre-exec report to \"/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/feat_model_gen/_report/report.rst\"181130-02:27:15,396 nipype.utils DEBUG:\n",
"\t Loading pkl: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/level1design/result_level1design.pklz\n",
"181130-02:27:15,393 nipype.workflow DEBUG:\n",
"\t [Node] Directory not found \"/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/feat_model_gen\".\n",
"\n",
"181130-02:27:15,401 nipype.utils DEBUG:\n",
"\t Removing contents of /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/feat_model_gen\n",
"181130-02:27:15,404 nipype.workflow DEBUG:\n",
"\t output: fsf_files\n",
"181130-02:27:15,404 nipype.utils DEBUG:\n",
"\t Creating directory /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/feat_model_gen181130-02:27:15,405 nipype.workflow DEBUG:\n",
"\t [Node] feat_model_gen - setting input fsf_file = /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/level1design/run0.fsf\n",
"181130-02:27:15,407 nipype.workflow DEBUG:\n",
"\t input: ev_files\n",
"181130-02:27:15,408 nipype.workflow DEBUG:\n",
"\t results file: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/level1design/result_level1design.pklz\n",
"\n",
"181130-02:27:15,409 nipype.utils DEBUG:\n",
"\t Loading pkl: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/level1design/result_level1design.pklz\n",
"181130-02:27:15,416 nipype.workflow DEBUG:\n",
"\t output: ev_files\n",
"181130-02:27:15,417 nipype.workflow DEBUG:\n",
"\t [Node] feat_model_gen - setting input ev_files = ['/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/level1design/ev_neutral_0_1.txt', '/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/level1design/ev_negative_0_3.txt', '/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/level1design/ev_reappraise_0_5.txt', '/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/level1design/ev_framewise_displacement_0_7.txt', '/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/level1design/ev_a_comp_cor_00_0_8.txt', '/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/level1design/ev_a_comp_cor_01_0_9.txt', '/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/level1design/ev_a_comp_cor_02_0_10.txt', '/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/level1design/ev_a_comp_cor_03_0_11.txt', '/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/level1design/ev_a_comp_cor_04_0_12.txt', '/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/level1design/ev_a_comp_cor_05_0_13.txt']\n",
"181130-02:27:15,422 nipype.workflow DEBUG:\n",
"\t [Node] Directory not found \"/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/feat_model_gen\".\n",
"181130-02:27:15,423 nipype.workflow DEBUG:\n",
"\t Checking hash \"l1.feat_model_gen\" locally: cached=False, updated=False.\n",
"181130-02:27:15,427 nipype.workflow DEBUG:\n",
"\t [MultiProc] Submitted task l1.feat_model_gen (taskid=23).\n",
"181130-02:27:15,428 nipype.workflow INFO:\n",
"\t [Node] Setting-up \"l1.feat_model_gen\" in \"/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/feat_model_gen\".181130-02:27:15,429 nipype.workflow DEBUG:\n",
"\t Allocating l1.feat_model_gen ID=26 (0.20GB, 1 threads). Free: 224.87GB, 8 threads.\n",
"\n",
"181130-02:27:15,431 nipype.workflow DEBUG:\n",
"\t Setting node inputs\n",
"181130-02:27:15,432 nipype.workflow DEBUG:\n",
"\t input: fsf_file\n",
"181130-02:27:15,431 nipype.workflow DEBUG:\n",
"\t [Node] Directory not found \"/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/feat_model_gen\".181130-02:27:15,433 nipype.workflow DEBUG:\n",
"\t results file: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_1/level1design/result_level1design.pklz\n",
"\n",
"181130-02:27:15,434 nipype.utils DEBUG:\n",
"\t Loading pkl: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_1/level1design/result_level1design.pklz\n",
"181130-02:27:15,434 nipype.utils DEBUG:\n",
"\t Removing contents of /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/feat_model_gen\n",
"181130-02:27:15,437 nipype.utils DEBUG:\n",
"\t Creating directory /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/feat_model_gen\n",
"181130-02:27:15,441 nipype.workflow DEBUG:\n",
"\t output: fsf_files\n",
"181130-02:27:15,442 nipype.workflow DEBUG:\n",
"\t [Node] feat_model_gen - setting input fsf_file = /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_1/level1design/run0.fsf\n",
"181130-02:27:15,442 nipype.workflow DEBUG:\n",
"\t input: ev_files\n",
"181130-02:27:15,445 nipype.workflow DEBUG:\n",
"\t results file: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_1/level1design/result_level1design.pklz\n",
"181130-02:27:15,446 nipype.utils DEBUG:\n",
"\t Loading pkl: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_1/level1design/result_level1design.pklz\n",
"181130-02:27:15,447 nipype.workflow DEBUG:\n",
"\t copying files to wd [execute=True, linksonly=False]\n",
"181130-02:27:15,450 nipype.utils DEBUG:\n",
"\t /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/feat_model_gen/ev_neutral_0_1.txt181130-02:27:15,450 nipype.utils DEBUG:\n",
"\t Creating directory /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/feat_model_gen/_report181130-02:27:15,452 nipype.workflow DEBUG:\n",
"\t output: ev_files\n",
"181130-02:27:15,453 nipype.workflow DEBUG:\n",
"\t [Node] feat_model_gen - setting input ev_files = ['/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_1/level1design/ev_neutral_0_1.txt', '/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_1/level1design/ev_negative_0_3.txt', '/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_1/level1design/ev_reappraise_0_5.txt', '/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_1/level1design/ev_framewise_displacement_0_7.txt', '/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_1/level1design/ev_a_comp_cor_00_0_8.txt', '/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_1/level1design/ev_a_comp_cor_01_0_9.txt', '/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_1/level1design/ev_a_comp_cor_02_0_10.txt', '/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_1/level1design/ev_a_comp_cor_03_0_11.txt', '/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_1/level1design/ev_a_comp_cor_04_0_12.txt', '/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_1/level1design/ev_a_comp_cor_05_0_13.txt']\n",
"\n",
"181130-02:27:15,456 nipype.workflow DEBUG:\n",
"\t [Node] Directory not found \"/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_1/feat_model_gen\".\n",
"\n",
"181130-02:27:15,457 nipype.workflow DEBUG:\n",
"\t Checking hash \"l1.feat_model_gen\" locally: cached=False, updated=False.\n",
"181130-02:27:15,456 nipype.utils DEBUG:\n",
"\t Symlinking File: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/feat_model_gen/ev_neutral_0_1.txt->/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/level1design/ev_neutral_0_1.txt181130-02:27:15,459 nipype.workflow DEBUG:\n",
"\t [MultiProc] Submitted task l1.feat_model_gen (taskid=24).\n",
"\n",
"181130-02:27:15,462 nipype.workflow INFO:\n",
"\t [Node] Setting-up \"l1.feat_model_gen\" in \"/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_1/feat_model_gen\".181130-02:27:15,463 nipype.workflow DEBUG:\n",
"\t [Node] Writing pre-exec report to \"/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/feat_model_gen/_report/report.rst\"\n",
"181130-02:27:15,464 nipype.utils DEBUG:\n",
"\t /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/feat_model_gen/ev_neutral_0_1.txt\n",
"181130-02:27:15,465 nipype.workflow DEBUG:\n",
"\t [Node] Directory not found \"/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_1/feat_model_gen\".\n",
"\n",
"181130-02:27:15,467 nipype.utils DEBUG:\n",
"\t Removing contents of /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_1/feat_model_gen\n",
"181130-02:27:15,468 nipype.utils DEBUG:\n",
"\t File: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/feat_model_gen/ev_neutral_0_1.txt already exists, not overwriting, copy:0\n",
"181130-02:27:15,471 nipype.utils DEBUG:\n",
"\t /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/feat_model_gen/ev_negative_0_3.txt181130-02:27:15,470 nipype.utils DEBUG:\n",
"\t Creating directory /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_1/feat_model_gen\n",
"\n",
"181130-02:27:15,476 nipype.utils DEBUG:\n",
"\t Symlinking File: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/feat_model_gen/ev_negative_0_3.txt->/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/level1design/ev_negative_0_3.txt\n",
"181130-02:27:15,479 nipype.utils DEBUG:\n",
"\t Creating directory /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/feat_model_gen/_report\n",
"181130-02:27:15,497 nipype.workflow DEBUG:\n",
"\t [Node] Writing pre-exec report to \"/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/feat_model_gen/_report/report.rst\"181130-02:27:15,497 nipype.utils DEBUG:\n",
"\t /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/feat_model_gen/ev_negative_0_3.txt\n",
"\n",
"181130-02:27:15,501 nipype.utils DEBUG:\n",
"\t File: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/feat_model_gen/ev_negative_0_3.txt already exists, not overwriting, copy:0\n",
"181130-02:27:15,504 nipype.utils DEBUG:\n",
"\t /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/feat_model_gen/ev_reappraise_0_5.txt\n",
"181130-02:27:15,509 nipype.utils DEBUG:\n",
"\t Symlinking File: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/feat_model_gen/ev_reappraise_0_5.txt->/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/level1design/ev_reappraise_0_5.txt181130-02:27:15,510 nipype.workflow DEBUG:\n",
"\t copying files to wd [execute=True, linksonly=False]\n",
"\n",
"181130-02:27:15,513 nipype.utils DEBUG:\n",
"\t /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/feat_model_gen/ev_neutral_0_1.txt181130-02:27:15,513 nipype.utils DEBUG:\n",
"\t Creating directory /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_1/feat_model_gen/_report\n",
"\n",
"181130-02:27:15,515 nipype.utils DEBUG:\n",
"\t /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/feat_model_gen/ev_reappraise_0_5.txt\n",
"181130-02:27:15,517 nipype.utils DEBUG:\n",
"\t Symlinking File: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/feat_model_gen/ev_neutral_0_1.txt->/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/level1design/ev_neutral_0_1.txt\n",
"181130-02:27:15,519 nipype.workflow DEBUG:\n",
"\t [Node] Writing pre-exec report to \"/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_1/feat_model_gen/_report/report.rst\"181130-02:27:15,518 nipype.utils DEBUG:\n",
"\t File: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/feat_model_gen/ev_reappraise_0_5.txt already exists, not overwriting, copy:0\n",
"\n",
"181130-02:27:15,522 nipype.utils DEBUG:\n",
"\t /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/feat_model_gen/ev_neutral_0_1.txt\n",
"181130-02:27:15,523 nipype.utils DEBUG:\n",
"\t /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/feat_model_gen/ev_framewise_displacement_0_7.txt181130-02:27:15,525 nipype.utils DEBUG:\n",
"\t File: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/feat_model_gen/ev_neutral_0_1.txt already exists, not overwriting, copy:0\n",
"\n",
"181130-02:27:15,528 nipype.utils DEBUG:\n",
"\t /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/feat_model_gen/ev_negative_0_3.txt\n",
"181130-02:27:15,530 nipype.utils DEBUG:\n",
"\t Symlinking File: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/feat_model_gen/ev_framewise_displacement_0_7.txt->/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/level1design/ev_framewise_displacement_0_7.txt\n",
"181130-02:27:15,532 nipype.utils DEBUG:\n",
"\t Symlinking File: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/feat_model_gen/ev_negative_0_3.txt->/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/level1design/ev_negative_0_3.txt\n",
"181130-02:27:15,535 nipype.workflow DEBUG:\n",
"\t copying files to wd [execute=True, linksonly=False]181130-02:27:15,536 nipype.utils DEBUG:\n",
"\t /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/feat_model_gen/ev_framewise_displacement_0_7.txt\n",
"\n",
"181130-02:27:15,537 nipype.utils DEBUG:\n",
"\t /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/feat_model_gen/ev_negative_0_3.txt181130-02:27:15,538 nipype.utils DEBUG:\n",
"\t /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/feat_model_gen/ev_neutral_0_1.txt\n",
"181130-02:27:15,539 nipype.utils DEBUG:\n",
"\t File: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/feat_model_gen/ev_framewise_displacement_0_7.txt already exists, not overwriting, copy:0\n",
"\n",
"181130-02:27:15,542 nipype.utils DEBUG:\n",
"\t /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/feat_model_gen/ev_a_comp_cor_00_0_8.txt181130-02:27:15,542 nipype.utils DEBUG:\n",
"\t File: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/feat_model_gen/ev_negative_0_3.txt already exists, not overwriting, copy:0\n",
"\n",
"181130-02:27:15,545 nipype.utils DEBUG:\n",
"\t Symlinking File: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/feat_model_gen/ev_neutral_0_1.txt->/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/level1design/ev_neutral_0_1.txt181130-02:27:15,545 nipype.utils DEBUG:\n",
"\t /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/feat_model_gen/ev_reappraise_0_5.txt\n",
"\n",
"181130-02:27:15,548 nipype.utils DEBUG:\n",
"\t Symlinking File: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/feat_model_gen/ev_a_comp_cor_00_0_8.txt->/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/level1design/ev_a_comp_cor_00_0_8.txt\n",
"181130-02:27:15,550 nipype.utils DEBUG:\n",
"\t Symlinking File: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/feat_model_gen/ev_reappraise_0_5.txt->/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/level1design/ev_reappraise_0_5.txt\n",
"181130-02:27:15,554 nipype.utils DEBUG:\n",
"\t /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/feat_model_gen/ev_a_comp_cor_00_0_8.txt181130-02:27:15,554 nipype.utils DEBUG:\n",
"\t /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/feat_model_gen/ev_neutral_0_1.txt\n",
"181130-02:27:15,555 nipype.utils DEBUG:\n",
"\t /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/feat_model_gen/ev_reappraise_0_5.txt181130-02:27:15,556 nipype.workflow DEBUG:\n",
"\t copying files to wd [execute=True, linksonly=False]181130-02:27:15,557 nipype.utils DEBUG:\n",
"\t File: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/feat_model_gen/ev_a_comp_cor_00_0_8.txt already exists, not overwriting, copy:0\n",
"\n",
"\n",
"\n",
"181130-02:27:15,559 nipype.utils DEBUG:\n",
"\t File: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/feat_model_gen/ev_reappraise_0_5.txt already exists, not overwriting, copy:0181130-02:27:15,559 nipype.utils DEBUG:\n",
"\t File: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/feat_model_gen/ev_neutral_0_1.txt already exists, not overwriting, copy:0181130-02:27:15,560 nipype.utils DEBUG:\n",
"\t /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/feat_model_gen/ev_a_comp_cor_01_0_9.txt\n",
"\n",
"\n",
"181130-02:27:15,564 nipype.utils DEBUG:\n",
"\t /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/feat_model_gen/ev_negative_0_3.txt181130-02:27:15,565 nipype.utils DEBUG:\n",
"\t Symlinking File: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/feat_model_gen/ev_a_comp_cor_01_0_9.txt->/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/level1design/ev_a_comp_cor_01_0_9.txt\n",
"\n",
"181130-02:27:15,563 nipype.utils DEBUG:\n",
"\t /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/feat_model_gen/ev_framewise_displacement_0_7.txt\n",
"181130-02:27:15,561 nipype.utils DEBUG:\n",
"\t /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_1/feat_model_gen/ev_neutral_0_1.txt\n",
"181130-02:27:15,570 nipype.utils DEBUG:\n",
"\t /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/feat_model_gen/ev_a_comp_cor_01_0_9.txt181130-02:27:15,570 nipype.utils DEBUG:\n",
"\t Symlinking File: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/feat_model_gen/ev_negative_0_3.txt->/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/level1design/ev_negative_0_3.txt\n",
"\n",
"181130-02:27:15,574 nipype.utils DEBUG:\n",
"\t File: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/feat_model_gen/ev_a_comp_cor_01_0_9.txt already exists, not overwriting, copy:0181130-02:27:15,574 nipype.utils DEBUG:\n",
"\t Symlinking File: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_1/feat_model_gen/ev_neutral_0_1.txt->/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_1/level1design/ev_neutral_0_1.txt181130-02:27:15,575 nipype.utils DEBUG:\n",
"\t Symlinking File: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/feat_model_gen/ev_framewise_displacement_0_7.txt->/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/level1design/ev_framewise_displacement_0_7.txt\n",
"181130-02:27:15,576 nipype.utils DEBUG:\n",
"\t /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/feat_model_gen/ev_negative_0_3.txt\n",
"\n",
"181130-02:27:15,577 nipype.utils DEBUG:\n",
"\t /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/feat_model_gen/ev_a_comp_cor_02_0_10.txt\n",
"\n",
"181130-02:27:15,581 nipype.utils DEBUG:\n",
"\t /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/feat_model_gen/ev_framewise_displacement_0_7.txt181130-02:27:15,581 nipype.utils DEBUG:\n",
"\t File: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/feat_model_gen/ev_negative_0_3.txt already exists, not overwriting, copy:0181130-02:27:15,582 nipype.utils DEBUG:\n",
"\t Symlinking File: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/feat_model_gen/ev_a_comp_cor_02_0_10.txt->/gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_4/level1design/ev_a_comp_cor_02_0_10.txt\n",
"181130-02:27:15,583 nipype.utils DEBUG:\n",
"\t /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_1/feat_model_gen/ev_neutral_0_1.txt\n",
"\n",
"\n",
"181130-02:27:15,585 nipype.utils DEBUG:\n",
"\t File: /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_3/feat_model_gen/ev_framewise_displacement_0_7.txt already exists, not overwriting, copy:0181130-02:27:15,586 nipype.utils DEBUG:\n",
"\t /gablab/p/ADHDER/data/adhder/work_analysis/l1_model/task-emoregulate_model-testmodel_sub-001/l1/_run_2/feat_model_gen/ev_reappraise_0_5.txt\n",
"181130-02:27:15,587 nipy
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