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        "%matplotlib inline"
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      "source": [
        "\nUsing PyAnatomist in BrainVisa\n------------------------------\n\nThis example shows how to use Anatomist from a BrainVisa process, and get events from Anatomist even when it is run through a socket connection.\n\n"
      ], 
      "cell_type": "markdown", 
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      "source": [
        "from __future__ import print_function\n\nfrom __future__ import absolute_import\nfrom neuroProcesses import *\nfrom brainvisa.tools import aimsGlobals\nimport string\n\nname = 'Test anatomist API socket implementation'\nuserLevel = 0\n\n# by default, socket implementation is loaded in brainvisa\nfrom brainvisa import anatomist as pyanatomist\nimport anatomist.api\n\nsignature = Signature(\n    'object_to_load', ReadDiskItem(\n        \"3D Volume\", aimsGlobals.anatomistVolumeFormats),\n)\n\n\ndef initialization(self):\n    pass\n\n\ndef execution(self, context):\n    # with attribute create is False, the constructor returns the existing\n    # instance of anatomist or None if there isn't one.\n    a = pyanatomist.Anatomist(create=False)\n    print(\"anatomist instance:\", a)\n    a = pyanatomist.Anatomist(create=True)\n    print(\"anatomist instance:\", a)\n    # register a function to be called when an object is loaded in anatomist\n    a.onLoadNotifier.add(display)\n    # a.onLoadNotifier.remove(display)\n    # a.onCreateWindowNotifier.add(display)\n    # a.onDeleteNotifier.add(display)\n    # a.onFusionNotifier.add(display)\n    # a.onCloseWindowNotifier.add(display)\n    # a.onAddObjectNotifier.add(display)\n    # a.onRemoveObjectNotifier.add(display)\n    # a.onCursorNotifier.add(display)\n    obj = a.loadObject(self.object_to_load)\n    w = a.createWindow('Axial')\n    a.addObjects([obj], [w])\n    ref = obj.referential\n    context.write(\"referential of object :\", ref.refUuid)\n    return [obj, w, ref]\n\n\ndef display(event, params):\n    print(\"** Event ** \", event, params)"
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