{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Populating the interactive namespace from numpy and matplotlib\n"
     ]
    }
   ],
   "source": [
    "%pylab inline\n",
    "from IPython.display import Image\n",
    "import os.path as op\n",
    "import nibabel as nb\n",
    "data_dir = '/home/jovyan/work/data/ds000114/'\n",
    "\n",
    "def plot_nii(in_file):\n",
    "    nb.load(in_file).orthoview()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Task 1: Run both T1s through a single BET interface\n",
    "\n",
    "Hint: use `nipype.pipeline.engine.MapNode`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "from nipype import MapNode\n",
    "from nipype.interfaces import fsl\n",
    "\n",
    "bet_node = MapNode(fsl.BET(), name='bet', iterfield=['in_file'])\n",
    "bet_node.inputs.in_file = [\n",
    "    op.join(data_dir, 'sub-01', 'anat', 'sub-01_T1w.nii.gz'),\n",
    "    op.join(data_dir, 'sub-02', 'anat', 'sub-02_T1w.nii.gz'),\n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "170330-20:36:05,222 workflow INFO:\n",
      "\t Executing node bet in dir: /tmp/tmpb5tzx_03/bet\n",
      "170330-20:36:05,397 workflow INFO:\n",
      "\t Executing node _bet0 in dir: /tmp/tmpb5tzx_03/bet/mapflow/_bet0\n",
      "170330-20:36:05,477 workflow INFO:\n",
      "\t Running: bet /home/jovyan/work/data/ds000114/sub-01/anat/sub-01_T1w.nii.gz /tmp/tmpb5tzx_03/bet/mapflow/_bet0/sub-01_T1w_brain.nii.gz\n",
      "170330-20:36:19,357 workflow INFO:\n",
      "\t Executing node _bet1 in dir: /tmp/tmpb5tzx_03/bet/mapflow/_bet1\n",
      "170330-20:36:19,428 workflow INFO:\n",
      "\t Running: bet /home/jovyan/work/data/ds000114/sub-02/anat/sub-02_T1w.nii.gz /tmp/tmpb5tzx_03/bet/mapflow/_bet1/sub-02_T1w_brain.nii.gz\n",
      "['/tmp/tmpb5tzx_03/bet/mapflow/_bet0/sub-01_T1w_brain.nii.gz', '/tmp/tmpb5tzx_03/bet/mapflow/_bet1/sub-02_T1w_brain.nii.gz']\n"
     ]
    }
   ],
   "source": [
    "res = bet_node.run()\n",
    "print(res.outputs.out_file)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAj8AAAIrCAYAAAAA6/i6AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fe3277f5240>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAicAAAJLCAYAAAA8Zjb8AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fe322f62400>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_nii(res.outputs.out_file[0])\n",
    "plot_nii(res.outputs.out_file[1])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Task 2: Run both subjects' functional through MCFLIRT\n",
    "Hint: iterables + `MapNodes`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "170330-20:36:31,499 workflow INFO:\n",
      "\t Executing node mcflirt in dir: /home/jovyan/work/workshops/170327-nipype/notebooks/nipype_101_tasks/nipype_101/mcflirt\n",
      "170330-20:36:31,676 workflow INFO:\n",
      "\t Executing node _mcflirt0 in dir: /home/jovyan/work/workshops/170327-nipype/notebooks/nipype_101_tasks/nipype_101/mcflirt/mapflow/_mcflirt0\n",
      "170330-20:36:31,817 workflow INFO:\n",
      "\t Running: mcflirt -in /home/jovyan/work/data/ds000114/sub-01/func/sub-01_task-fingerfootlips_bold.nii.gz -out /home/jovyan/work/workshops/170327-nipype/notebooks/nipype_101_tasks/nipype_101/mcflirt/mapflow/_mcflirt0/sub-01_task-fingerfootlips_bold_mcf.nii.gz\n",
      "170330-20:37:41,970 workflow INFO:\n",
      "\t Executing node _mcflirt1 in dir: /home/jovyan/work/workshops/170327-nipype/notebooks/nipype_101_tasks/nipype_101/mcflirt/mapflow/_mcflirt1\n",
      "170330-20:37:42,10 workflow INFO:\n",
      "\t Running: mcflirt -in /home/jovyan/work/data/ds000114/sub-01/func/sub-01_task-linebisection_bold.nii.gz -out /home/jovyan/work/workshops/170327-nipype/notebooks/nipype_101_tasks/nipype_101/mcflirt/mapflow/_mcflirt1/sub-01_task-linebisection_bold_mcf.nii.gz\n",
      "170330-20:38:38,301 workflow INFO:\n",
      "\t Executing node _mcflirt2 in dir: /home/jovyan/work/workshops/170327-nipype/notebooks/nipype_101_tasks/nipype_101/mcflirt/mapflow/_mcflirt2\n",
      "170330-20:38:38,342 workflow INFO:\n",
      "\t Running: mcflirt -in /home/jovyan/work/data/ds000114/sub-02/func/sub-02_task-fingerfootlips_bold.nii.gz -out /home/jovyan/work/workshops/170327-nipype/notebooks/nipype_101_tasks/nipype_101/mcflirt/mapflow/_mcflirt2/sub-02_task-fingerfootlips_bold_mcf.nii.gz\n",
      "170330-20:39:22,888 workflow INFO:\n",
      "\t Executing node _mcflirt3 in dir: /home/jovyan/work/workshops/170327-nipype/notebooks/nipype_101_tasks/nipype_101/mcflirt/mapflow/_mcflirt3\n",
      "170330-20:39:22,915 workflow INFO:\n",
      "\t Running: mcflirt -in /home/jovyan/work/data/ds000114/sub-02/func/sub-02_task-linebisection_bold.nii.gz -out /home/jovyan/work/workshops/170327-nipype/notebooks/nipype_101_tasks/nipype_101/mcflirt/mapflow/_mcflirt3/sub-02_task-linebisection_bold_mcf.nii.gz\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "['/home/jovyan/work/workshops/170327-nipype/notebooks/nipype_101_tasks/nipype_101/mcflirt/mapflow/_mcflirt0/sub-01_task-fingerfootlips_bold_mcf.nii.gz',\n",
       " '/home/jovyan/work/workshops/170327-nipype/notebooks/nipype_101_tasks/nipype_101/mcflirt/mapflow/_mcflirt1/sub-01_task-linebisection_bold_mcf.nii.gz',\n",
       " '/home/jovyan/work/workshops/170327-nipype/notebooks/nipype_101_tasks/nipype_101/mcflirt/mapflow/_mcflirt2/sub-02_task-fingerfootlips_bold_mcf.nii.gz',\n",
       " '/home/jovyan/work/workshops/170327-nipype/notebooks/nipype_101_tasks/nipype_101/mcflirt/mapflow/_mcflirt3/sub-02_task-linebisection_bold_mcf.nii.gz']"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Solution 1: only MapNode\n",
    "import glob\n",
    "mcflirt_node = MapNode(fsl.MCFLIRT(), name='mcflirt', iterfield=['in_file'])\n",
    "mcflirt_node.base_dir = 'nipype_101'\n",
    "mcflirt_node.inputs.in_file = glob.glob(op.join(data_dir, 'sub-0[1,2]', 'func', '*_bold.nii.gz'))\n",
    "res = mcflirt_node.run()\n",
    "res.outputs.out_file"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "170330-20:40:17,253 workflow INFO:\n",
      "\t Workflow task2 settings: ['check', 'execution', 'logging']\n",
      "170330-20:40:17,274 workflow INFO:\n",
      "\t Running serially.\n",
      "170330-20:40:17,277 workflow INFO:\n",
      "\t Executing node datagrabber.aI.a1 in dir: /home/jovyan/work/workshops/170327-nipype/notebooks/nipype_101_tasks/workdir_task2/task2/_subject_id_02/datagrabber\n",
      "170330-20:40:17,292 workflow INFO:\n",
      "\t Collecting precomputed outputs\n",
      "170330-20:40:17,313 workflow INFO:\n",
      "\t Executing node bet.a1 in dir: /home/jovyan/work/workshops/170327-nipype/notebooks/nipype_101_tasks/workdir_task2/task2/_subject_id_02/bet\n",
      "170330-20:40:17,351 workflow INFO:\n",
      "\t Executing node datagrabber.aI.a0 in dir: /home/jovyan/work/workshops/170327-nipype/notebooks/nipype_101_tasks/workdir_task2/task2/_subject_id_01/datagrabber\n",
      "170330-20:40:17,360 workflow INFO:\n",
      "\t Collecting precomputed outputs\n",
      "170330-20:40:17,378 workflow INFO:\n",
      "\t Executing node bet.a0 in dir: /home/jovyan/work/workshops/170327-nipype/notebooks/nipype_101_tasks/workdir_task2/task2/_subject_id_01/bet\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<networkx.classes.digraph.DiGraph at 0x7fe322d92160>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "170330-20:40:17,451 workflow INFO:\n",
      "\t Workflow task2 settings: ['check', 'execution', 'logging']\n",
      "170330-20:40:17,469 workflow INFO:\n",
      "\t Running serially.\n",
      "170330-20:40:17,473 workflow INFO:\n",
      "\t Executing node datagrabber.aI.a1 in dir: /home/jovyan/work/workshops/170327-nipype/notebooks/nipype_101_tasks/workdir_task2/task2/_subject_id_02/datagrabber\n",
      "170330-20:40:17,489 workflow INFO:\n",
      "\t Collecting precomputed outputs\n",
      "170330-20:40:17,509 workflow INFO:\n",
      "\t Executing node bet.a1 in dir: /home/jovyan/work/workshops/170327-nipype/notebooks/nipype_101_tasks/workdir_task2/task2/_subject_id_02/bet\n",
      "170330-20:40:17,543 workflow INFO:\n",
      "\t Executing node datagrabber.aI.a0 in dir: /home/jovyan/work/workshops/170327-nipype/notebooks/nipype_101_tasks/workdir_task2/task2/_subject_id_01/datagrabber\n",
      "170330-20:40:17,556 workflow INFO:\n",
      "\t Collecting precomputed outputs\n",
      "170330-20:40:17,577 workflow INFO:\n",
      "\t Executing node bet.a0 in dir: /home/jovyan/work/workshops/170327-nipype/notebooks/nipype_101_tasks/workdir_task2/task2/_subject_id_01/bet\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<networkx.classes.digraph.DiGraph at 0x7fe325f40f28>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Solution 2: iterables + MapNode\n",
    "from nipype import Workflow, Node\n",
    "from nipype.interfaces.utility import Function\n",
    "\n",
    "def _get_bolds(subject_id, data_dir):\n",
    "    import glob\n",
    "    import os.path as op\n",
    "    return glob.glob(op.join(data_dir, 'sub-%s' % subject_id, 'func', '*_bold.nii.gz'))\n",
    "\n",
    "dg_node = Node(Function(input_names=['subject_id', 'data_dir'], output_names=['out_files'], function=_get_bolds),\n",
    "               name='datagrabber')\n",
    "mcflirt_node = MapNode(fsl.MCFLIRT(), name='mcflirt', iterfield=['in_file'])\n",
    "\n",
    "wf = Workflow('task2')\n",
    "wf.base_dir = 'workdir_task2'\n",
    "wf.connect(dg_node, 'out_files', mcflirt_node, 'in_file')\n",
    "\n",
    "dg_node.iterables = ('subject_id', ['01', '02'])\n",
    "dg_node.inputs.data_dir = data_dir\n",
    "wf.run()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Task 3: Get the number of subjects using bids\n",
    "Hint: [notebook](https://github.com/nipy/workshops/blob/master/170327-nipype/notebooks/basic-bids/basic_data_input_bids.ipynb)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of subjects is 2\n"
     ]
    }
   ],
   "source": [
    "from bids.grabbids import BIDSLayout\n",
    "layout = BIDSLayout(data_dir)\n",
    "print('Number of subjects is %d' % len(layout.get_subjects()))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Task 4: Use a function node to get T1w + EPIs using bids\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_info(subject_id, dataset_dir):\n",
    "    from bids.grabbids import BIDSLayout\n",
    "    layout = BIDSLayout(dataset_dir)\n",
    "    t1w = layout.get(type='T1w', \n",
    "                     subject=subject_id, \n",
    "                     extensions=['nii', 'nii.gz'],\n",
    "                     return_type='file')\n",
    "    epi = [f.filename for f in layout.get(type='bold', subject=subject_id, extensions=['nii', 'nii.gz'])]\n",
    "    return t1w, epi"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(['/home/jovyan/work/data/ds000114/sub-01/anat/sub-01_T1w.nii.gz'], ['/home/jovyan/work/data/ds000114/sub-01/func/sub-01_task-fingerfootlips_bold.nii.gz', '/home/jovyan/work/data/ds000114/sub-01/func/sub-01_task-linebisection_bold.nii.gz'])\n",
      "(['/home/jovyan/work/data/ds000114/sub-01/anat/sub-01_T1w.nii.gz', '/home/jovyan/work/data/ds000114/sub-02/anat/sub-02_T1w.nii.gz'], ['/home/jovyan/work/data/ds000114/sub-01/func/sub-01_task-fingerfootlips_bold.nii.gz', '/home/jovyan/work/data/ds000114/sub-01/func/sub-01_task-linebisection_bold.nii.gz', '/home/jovyan/work/data/ds000114/sub-02/func/sub-02_task-fingerfootlips_bold.nii.gz', '/home/jovyan/work/data/ds000114/sub-02/func/sub-02_task-linebisection_bold.nii.gz'])\n"
     ]
    }
   ],
   "source": [
    "# Test get_info:\n",
    "print(get_info('01', data_dir))\n",
    "print(get_info('0[12]', data_dir))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "170330-20:50:46,470 workflow INFO:\n",
      "\t Executing node bids_ds in dir: /tmp/tmp608t576i/bids_ds\n",
      "['/home/jovyan/work/data/ds000114/sub-01/anat/sub-01_T1w.nii.gz', '/home/jovyan/work/data/ds000114/sub-02/anat/sub-02_T1w.nii.gz']\n",
      "['/home/jovyan/work/data/ds000114/sub-01/func/sub-01_task-fingerfootlips_bold.nii.gz', '/home/jovyan/work/data/ds000114/sub-01/func/sub-01_task-linebisection_bold.nii.gz', '/home/jovyan/work/data/ds000114/sub-02/func/sub-02_task-fingerfootlips_bold.nii.gz', '/home/jovyan/work/data/ds000114/sub-02/func/sub-02_task-linebisection_bold.nii.gz']\n"
     ]
    }
   ],
   "source": [
    "node_bids = Node(Function(input_names=['subject_id', 'dataset_dir'], output_names=['t1w', 'epi'],\n",
    "                          function=get_info), name='bids_ds')\n",
    "node_bids.inputs.subject_id = '0[12]'\n",
    "node_bids.inputs.dataset_dir = data_dir\n",
    "\n",
    "# Test this node\n",
    "res = node_bids.run()\n",
    "print(res.outputs.t1w)\n",
    "print(res.outputs.epi)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Task 5: A workflow with an input node and aggregating all before."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1, 2, 3, 4, 5]\n"
     ]
    }
   ],
   "source": [
    "# We will need this little function\n",
    "def _flatten(inlist):\n",
    "    return [el for l in inlist for el in l]\n",
    "\n",
    "print(_flatten([[1, 2], [3], [4, 5]]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "def _vol_mean(in_file):\n",
    "    import nibabel as nb\n",
    "    import numpy as np\n",
    "    nii = nb.load(in_file)\n",
    "    \n",
    "    data = nii.get_data()\n",
    "    voxvol = np.prod(nii.header.get_zooms()[:3])\n",
    "    volume = sum(data > 0) * voxvol\n",
    "    \n",
    "    mean = data[data > 0].mean()\n",
    "    \n",
    "    return volume, mean"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "170330-21:00:13,265 workflow INFO:\n",
      "\t Generated workflow graph: nipypework/task_5/graph.dot.png (graph2use=hierarchical, simple_form=True).\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAcMAAAHZCAYAAAD6y1AjAAAABmJLR0QA/wD/AP+gvaeTAAAgAElE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\nGGOjHgdDxhhjo97/A8CFxRpRWbCBAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from nipype.interfaces.utility import IdentityInterface, Rename\n",
    "from nipype.interfaces.io import DataSink\n",
    "\n",
    "inputs_node = Node(IdentityInterface(fields=['subject_id']), name='inputnode')\n",
    "bids_node = MapNode(Function(input_names=['subject_id', 'dataset_dir'], output_names=['t1w', 'epi'],\n",
    "                             function=get_info),\n",
    "                    name='bids_ds', \n",
    "                    iterfield=['subject_id']\n",
    ")\n",
    "bet_node = MapNode(fsl.BET(functional=True, mask=True), name='bet', iterfield=['in_file'])\n",
    "mcflirt_node = MapNode(fsl.MCFLIRT(), name='mcflirt', iterfield=['in_file'])\n",
    "applymsk_node = MapNode(fsl.ApplyMask(), name='mask', iterfield=['in_file', 'mask_file'])\n",
    "\n",
    "volmean_node = MapNode(Function(input_names=['in_file'], output_names=['vol', 'mean'],\n",
    "                       function=_vol_mean), name='volmean', iterfield=['in_file'])\n",
    "\n",
    "ds_node = Node(DataSink(\n",
    "    base_directory='/home/jovyan/work/workshops/170327-'\n",
    "                   'nipype/notebooks/nipype_101_tasks/nipype_outputs'),\n",
    "               name='datasink')\n",
    "\n",
    "wf = Workflow('task_5')\n",
    "wf.base_dir = 'nipypework'\n",
    "wf.connect(inputs_node, 'subject_id', bids_node, 'subject_id')\n",
    "wf.connect(bids_node, ('epi', _flatten), bet_node, 'in_file')\n",
    "wf.connect(bids_node, ('epi', _flatten), mcflirt_node, 'in_file')\n",
    "wf.connect(bet_node, 'mask_file', applymsk_node, 'mask_file')\n",
    "wf.connect(mcflirt_node, 'out_file', applymsk_node, 'in_file')\n",
    "wf.connect(applymsk_node, 'out_file', ds_node, 'epi')\n",
    "wf.connect(applymsk_node, 'out_file', volmean_node, 'in_file')\n",
    "\n",
    "\n",
    "Image(wf.write_graph())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "170330-21:00:13,321 workflow INFO:\n",
      "\t Workflow task_5 settings: ['check', 'execution', 'logging']\n",
      "170330-21:00:13,343 workflow INFO:\n",
      "\t Running serially.\n",
      "170330-21:00:13,347 workflow INFO:\n",
      "\t Executing node bids_ds in dir: /home/jovyan/work/workshops/170327-nipype/notebooks/nipype_101_tasks/nipypework/task_5/bids_ds\n",
      "170330-21:00:13,378 workflow INFO:\n",
      "\t Executing node _bids_ds0 in dir: /home/jovyan/work/workshops/170327-nipype/notebooks/nipype_101_tasks/nipypework/task_5/bids_ds/mapflow/_bids_ds0\n",
      "170330-21:00:15,56 workflow INFO:\n",
      "\t Executing node _bids_ds1 in dir: /home/jovyan/work/workshops/170327-nipype/notebooks/nipype_101_tasks/nipypework/task_5/bids_ds/mapflow/_bids_ds1\n",
      "170330-21:00:16,601 workflow INFO:\n",
      "\t Executing node bet in dir: /home/jovyan/work/workshops/170327-nipype/notebooks/nipype_101_tasks/nipypework/task_5/bet\n",
      "170330-21:00:16,693 workflow INFO:\n",
      "\t Executing node mcflirt in dir: /home/jovyan/work/workshops/170327-nipype/notebooks/nipype_101_tasks/nipypework/task_5/mcflirt\n",
      "170330-21:00:16,781 workflow INFO:\n",
      "\t Executing node mask in dir: /home/jovyan/work/workshops/170327-nipype/notebooks/nipype_101_tasks/nipypework/task_5/mask\n",
      "170330-21:00:16,863 workflow INFO:\n",
      "\t Executing node volmean in dir: /home/jovyan/work/workshops/170327-nipype/notebooks/nipype_101_tasks/nipypework/task_5/volmean\n",
      "170330-21:00:16,949 workflow INFO:\n",
      "\t Executing node datasink in dir: /home/jovyan/work/workshops/170327-nipype/notebooks/nipype_101_tasks/nipypework/task_5/datasink\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<networkx.classes.digraph.DiGraph at 0x7fe32302a438>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Time to run it\n",
    "wf.inputs.inputnode.subject_id = ['01', '02']\n",
    "wf.inputs.bids_ds.dataset_dir = data_dir\n",
    "wf.run()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "nipype_outputs/\r\n",
      "├── epi\r\n",
      "│   ├── _mcflirt0\r\n",
      "│   │   └── sub-01_task-fingerfootlips_bold_mcf.nii.gz\r\n",
      "│   ├── _mcflirt1\r\n",
      "│   │   └── sub-01_task-linebisection_bold_mcf.nii.gz\r\n",
      "│   ├── _mcflirt2\r\n",
      "│   │   └── sub-02_task-fingerfootlips_bold_mcf.nii.gz\r\n",
      "│   └── _mcflirt3\r\n",
      "│       └── sub-02_task-linebisection_bold_mcf.nii.gz\r\n",
      "└── t1w\r\n",
      "    ├── _bet0\r\n",
      "    │   └── sub-01_T1w_brain.nii.gz\r\n",
      "    └── _bet1\r\n",
      "        └── sub-02_T1w_brain.nii.gz\r\n",
      "\r\n",
      "8 directories, 6 files\r\n"
     ]
    }
   ],
   "source": [
    "!tree nipype_outputs/"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "from nipype import JoinNode"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "from nipype.interfaces.utility import Merge"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "\u001b[0;31mInit signature:\u001b[0m \u001b[0mMerge\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnuminputs\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0minputs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
       "\u001b[0;31mSource:\u001b[0m        \n",
       "\u001b[0;32mclass\u001b[0m \u001b[0mMerge\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mIOBase\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0;34m\"\"\"Basic interface class to merge inputs into a single list\u001b[0m\n",
       "\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m    ``Merge(1)`` will merge a list of lists\u001b[0m\n",
       "\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m    Examples\u001b[0m\n",
       "\u001b[0;34m    --------\u001b[0m\n",
       "\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m    >>> from nipype.interfaces.utility import Merge\u001b[0m\n",
       "\u001b[0;34m    >>> mi = Merge(3)\u001b[0m\n",
       "\u001b[0;34m    >>> mi.inputs.in1 = 1\u001b[0m\n",
       "\u001b[0;34m    >>> mi.inputs.in2 = [2, 5]\u001b[0m\n",
       "\u001b[0;34m    >>> mi.inputs.in3 = 3\u001b[0m\n",
       "\u001b[0;34m    >>> out = mi.run()\u001b[0m\n",
       "\u001b[0;34m    >>> out.outputs.out\u001b[0m\n",
       "\u001b[0;34m    [1, 2, 5, 3]\u001b[0m\n",
       "\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m    >>> merge = Merge()   # Or Merge(1)\u001b[0m\n",
       "\u001b[0;34m    >>> merge.inputs.in_lists = [1, [2, 5], 3]\u001b[0m\n",
       "\u001b[0;34m    >>> out = merge.run()\u001b[0m\n",
       "\u001b[0;34m    >>> out.outputs.out\u001b[0m\n",
       "\u001b[0;34m    [1, 2, 5, 3]\u001b[0m\n",
       "\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m    \"\"\"\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0minput_spec\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mMergeInputSpec\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0moutput_spec\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mMergeOutputSpec\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0;32mdef\u001b[0m \u001b[0m__init__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mnuminputs\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0minputs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0msuper\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mMerge\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__init__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m**\u001b[0m\u001b[0minputs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_numinputs\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnuminputs\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0;32mif\u001b[0m \u001b[0mnuminputs\u001b[0m \u001b[0;34m>\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m            \u001b[0minput_names\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m'in%d'\u001b[0m \u001b[0;34m%\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mi\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mi\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mrange\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnuminputs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0;32melif\u001b[0m \u001b[0mnuminputs\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m            \u001b[0minput_names\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m'in_lists'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m            \u001b[0minput_names\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0madd_traits\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0minputs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0minput_names\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0;32mdef\u001b[0m \u001b[0m_list_outputs\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0moutputs\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_outputs\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0mout\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_numinputs\u001b[0m \u001b[0;34m<\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m            \u001b[0;32mreturn\u001b[0m \u001b[0moutputs\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0;32melif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_numinputs\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m            \u001b[0mvalues\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0minputs\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0min_lists\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m            \u001b[0mgetval\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mlambda\u001b[0m \u001b[0midx\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mgetattr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0minputs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'in%d'\u001b[0m \u001b[0;34m%\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0midx\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m            \u001b[0mvalues\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0mgetval\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0midx\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0midx\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mrange\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_numinputs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m                      \u001b[0;32mif\u001b[0m \u001b[0misdefined\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mgetval\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0midx\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0minputs\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0maxis\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;34m'vstack'\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m            \u001b[0;32mfor\u001b[0m \u001b[0mvalue\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mvalues\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m                \u001b[0;32mif\u001b[0m \u001b[0misinstance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mvalue\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlist\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0minputs\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mno_flatten\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m                    \u001b[0mout\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mextend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mvalue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m                \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m                    \u001b[0mout\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mvalue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m            \u001b[0mlists\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0mfilename_to_list\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mval\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mval\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mvalues\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m            \u001b[0mout\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mval\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mi\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mval\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mlists\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mi\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mrange\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlists\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0moutputs\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'out'\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mout\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m        \u001b[0;32mreturn\u001b[0m \u001b[0moutputs\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
       "\u001b[0;31mFile:\u001b[0m           /opt/conda/lib/python3.5/site-packages/nipype/interfaces/utility/base.py\n",
       "\u001b[0;31mType:\u001b[0m           type\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "Merge??"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.5.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}