{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "a1aca7c8-bd61-487a-bd0c-1766515a774d"
    }
   },
   "source": [
    "### Comparison of different methods"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbpresent": {
     "id": "8c843e38-da91-4647-94f4-278908fe0c43"
    }
   },
   "source": [
    "The various codes that were used for calculation are-  \n",
    "* code 1 : The FAST cluster calculation code called as subprocess from python\n",
    "* code 2 : Steinhardt module called as library from python\n",
    "* code 3 : Traj files read in through python and passed to steinhardt module called as library\n",
    "* code 4 : Traj files read in through memory mapped file and passed to steinhardt module called as library\n",
    "* code 5 : Python is used to split files which are read in through c++.\n",
    "  \n",
    "They were tested on three different types of trajectories-  \n",
    "* traj 1 : short 10 slice, 500 atom per snapshot trajectory\n",
    "* traj 2 : long 10000 slice, 500 atom per snapshot trajectory"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Performance for traj 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x7f4ae5ef3790>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f4ae64cb1d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "objects = ('code 1', 'code 2', 'code 3', 'code 4', 'code 5')\n",
    "y_pos = np.arange(len(objects))\n",
    "performance = [629,548,575,559,600]\n",
    " \n",
    "plt.bar(y_pos, performance, align='center', alpha=0.5,color='#880E4F')\n",
    "plt.xticks(y_pos, objects)\n",
    "plt.ylabel('Time (ms)')\n",
    "plt.title('Performance for traj 1')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Performance of traj 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x7f4ae5e37590>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f4ae5edfcd0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "objects = ('code 1', 'code 2', 'code 3', 'code 4', 'code 5')\n",
    "y_pos = np.arange(len(objects))\n",
    "performance = [37,22,26,25,28]\n",
    " \n",
    "plt.bar(y_pos, performance, align='center', alpha=0.5,color='#880E4F')\n",
    "plt.xticks(y_pos, objects)\n",
    "plt.ylabel('Time (s)')\n",
    "plt.title('Performance for traj 2')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Implementing 'lazy' calculation with Dask"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Dask is a python library which provides laptop-cluster scalable easy calculations. Dask also allows lazy objects, which prepare the recipe for calculations and then iplement it. Dask will show a lower memory footprint because of the delayed reading. It reads in just enough of the data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [],
   "source": [
    "import steinhardt as st\n",
    "import os\n",
    "import sys\n",
    "import subprocess as sub\n",
    "from dask import delayed"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [],
   "source": [
    "# function to read a file and calculate nucsize\n",
    "\n",
    "def getQTrajectory(filename):\n",
    "        #create Steinhardt system objects\n",
    "        sys = st.System()\n",
    "        #set inout file and read it\n",
    "        sys.set_inputfile(filename)\n",
    "        sys.read_particle_file()\n",
    "        #set nucsize parameters\n",
    "        sys.set_neighbordistance(3.63)\n",
    "        sys.set_nucsize_parameters(7,0.5,0.5)\n",
    "        #now calculate nucsize\n",
    "        nuc = sys.calculate_nucsize()\n",
    "        return nuc"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [],
   "source": [
    "#function to calculate nucsuze over a traj\n",
    "\n",
    "def calculate_nuctraj(trajname,nop):\n",
    "    x = []\n",
    "    filename = trajname\n",
    "    natoms=nop\n",
    "    nblock = natoms+9\n",
    "    startblock = 0\n",
    "    count=1\n",
    "    files = []\n",
    "    #convert file to snaps\n",
    "    with open(filename) as infile:\n",
    "        for line in infile:\n",
    "            if(count==1):\n",
    "                ff = 'snap.'+str(startblock)+'.dat'\n",
    "                files.append(ff)\n",
    "                fout = open(ff,'w')\n",
    "                fout.write(line)\n",
    "                #count+=1\n",
    "            elif(count<nblock):\n",
    "                fout.write(line)\n",
    "                #count+=1\n",
    "\n",
    "            else:\n",
    "                fout.close()\n",
    "                count=0\n",
    "                startblock+=1\n",
    "            count+=1\n",
    "    for ff in files:\n",
    "        x.append(delayed (getQTrajectory)(ff))\n",
    "    return x"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## How the  Dask object works"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "First, run the function above, as we can see it returns a delayed list"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "10 loops, best of 3: 33.9 ms per loop\n"
     ]
    }
   ],
   "source": [
    "%%timeit\n",
    "delayed_traj = calculate_nuctraj('traj.light',500)\n",
    "delayed_traj"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The calculation did not really happen yet. It just returned a delayed object."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1 loop, best of 3: 761 ms per loop\n"
     ]
    }
   ],
   "source": [
    "%%timeit\n",
    "nucs = []\n",
    "for i in range(len(delayed_traj)):\n",
    "    nucs.append(delayed_traj[i].compute())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The calculation is completed now, and it gave faster results that any of the code we tested. Now testing with the longer trajectory."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Delayed('getQTrajectory-1ca720bb-5951-44d7-9324-1c4fff338351'),\n",
       " Delayed('getQTrajectory-75d10c60-f3e5-403b-9626-e0384fba94b9'),\n",
       " Delayed('getQTrajectory-01a5701a-89ff-4412-89ff-adc11231a480'),\n",
       " Delayed('getQTrajectory-15c6a65e-3d97-43fb-b31e-cbe855ab759f'),\n",
       " Delayed('getQTrajectory-f4fa0c0d-e605-49b4-ac13-11ece9cbec43'),\n",
       " Delayed('getQTrajectory-221fbb54-507d-4f56-bba7-c374fa1eb701'),\n",
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       " Delayed('getQTrajectory-1427784b-c005-451e-b06c-c8c21458f34f'),\n",
       " Delayed('getQTrajectory-c2a102a0-e6db-4d4c-b5a4-2cbbd1cf9f32'),\n",
       " Delayed('getQTrajectory-094011ee-9dde-48f1-8d79-7c3c39a2a5da'),\n",
       " Delayed('getQTrajectory-e6838606-0e4b-4769-9638-71ca2118696a'),\n",
       " Delayed('getQTrajectory-a98f421b-583d-4379-b646-bb051d84e404'),\n",
       " Delayed('getQTrajectory-b9823c1d-5d55-413b-ae41-6bfddee03901'),\n",
       " Delayed('getQTrajectory-2c33cd3d-1b94-441c-b52e-02eea7718c14'),\n",
       " Delayed('getQTrajectory-b681f48c-91f5-490e-82e3-a64cd48fc925'),\n",
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       " Delayed('getQTrajectory-43451639-a6bc-44f6-b14c-da4587871803'),\n",
       " Delayed('getQTrajectory-6f50d662-a6a7-46ff-a3cd-31dae6577ee4'),\n",
       " Delayed('getQTrajectory-4aa1215d-f064-4bc8-81cc-6d7ddcf89491'),\n",
       " Delayed('getQTrajectory-cde40a00-c07f-4ac4-8c7f-82266e961891'),\n",
       " Delayed('getQTrajectory-c6c85127-7b96-4ecc-aa6e-2a60e6143288'),\n",
       " Delayed('getQTrajectory-c0937970-0c69-40fc-a20a-40fdbabd6fec'),\n",
       " Delayed('getQTrajectory-1ac88f57-83e7-40fe-a6bc-6e9643c7aae0'),\n",
       " Delayed('getQTrajectory-f679c091-980a-40a5-8fc4-8c53f1cba416'),\n",
       " Delayed('getQTrajectory-a8f7ec0b-87f5-4241-b542-4add8eb8d6e2'),\n",
       " Delayed('getQTrajectory-63ce3111-5305-4c55-a926-fae89136b8c3'),\n",
       " Delayed('getQTrajectory-14e9a2a5-d884-4681-912b-1e1dc017988d'),\n",
       " Delayed('getQTrajectory-219e577d-481b-4ee2-b554-5163d8739ae6'),\n",
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       " Delayed('getQTrajectory-f5c31e72-bab7-427e-b500-bacf496930fe'),\n",
       " Delayed('getQTrajectory-39f17bf3-1697-45eb-aae9-0d4a7907d3f3'),\n",
       " Delayed('getQTrajectory-87d953d0-c630-417f-ad01-dc58c53556ac'),\n",
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       " Delayed('getQTrajectory-4bd2d55a-61d4-44c5-8c4c-d346d7c3daa0'),\n",
       " Delayed('getQTrajectory-508b3a01-0870-494e-a1bf-45e26003a5f9'),\n",
       " Delayed('getQTrajectory-c6cd0da8-fd21-4083-8efd-db3c808c8803'),\n",
       " Delayed('getQTrajectory-7dff9d39-b805-4b5a-b872-1ba002c78d25'),\n",
       " Delayed('getQTrajectory-0fb6f11d-7119-467a-8328-24bf7fee4c4e'),\n",
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       " Delayed('getQTrajectory-c520a9fb-4bbb-4830-a34c-126406443ae1'),\n",
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       " Delayed('getQTrajectory-827eb303-907f-4f7c-bdc0-d313b6f28ffd'),\n",
       " Delayed('getQTrajectory-d66fa8ef-66b0-4bbe-83d6-f593cd4e4519'),\n",
       " Delayed('getQTrajectory-47879d0e-3878-43e8-89af-03afd94b6d3f'),\n",
       " Delayed('getQTrajectory-cc6ddf05-ee2f-4680-baad-4ebb9307d556'),\n",
       " Delayed('getQTrajectory-523d104a-9882-4465-92ed-2a5bb0b84852'),\n",
       " Delayed('getQTrajectory-f8cbdbef-3d96-442e-b718-bb9aadfb0d30'),\n",
       " Delayed('getQTrajectory-227959c7-bb4b-41f4-9493-65ef88369fe6'),\n",
       " Delayed('getQTrajectory-e968bd0b-3c00-415b-8da4-dfe07fcd3511'),\n",
       " Delayed('getQTrajectory-d8bcc828-0c47-4b1a-99e6-5ec049f7640b'),\n",
       " Delayed('getQTrajectory-c984ca35-4535-4ee0-a119-bda02f449783'),\n",
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       " Delayed('getQTrajectory-f20968a0-5595-44a4-9705-26ff084a725f'),\n",
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       " Delayed('getQTrajectory-3860575b-867f-4b8d-bfcc-32b8d5d2acd0'),\n",
       " Delayed('getQTrajectory-6a529008-8b6c-4877-9436-878db1f4b8fa'),\n",
       " Delayed('getQTrajectory-6a665edd-e2ac-45a3-8c29-3b21c899ccc3'),\n",
       " Delayed('getQTrajectory-600a860c-cab7-4ddf-9b36-e962f7dd36a6'),\n",
       " Delayed('getQTrajectory-e3caa00f-de7e-401b-95d7-7ad36d1aecf2'),\n",
       " Delayed('getQTrajectory-9aa1cda2-dbb9-48fc-82ba-f1f435f46bdb'),\n",
       " Delayed('getQTrajectory-fd70184f-eed6-4a21-b1ef-4ab43f518589'),\n",
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       " Delayed('getQTrajectory-0a6bc74f-059d-4b81-99ef-aa0993fd09de'),\n",
       " Delayed('getQTrajectory-aa1b4ca8-b237-4108-94c9-20f83c8e49c0'),\n",
       " Delayed('getQTrajectory-11ae7bf8-d0f1-40ef-a696-9ea8ee8a239e'),\n",
       " Delayed('getQTrajectory-8ebb1187-5acc-45fd-9fb0-9f56d365990d'),\n",
       " Delayed('getQTrajectory-8b1bd133-5c67-4a6b-a0fe-b42d2e4a6f30'),\n",
       " Delayed('getQTrajectory-3d0ff934-5ba8-44bf-af41-4ca24e7f1bb1'),\n",
       " Delayed('getQTrajectory-0feda6c2-e1ae-454a-a045-4ef0a251f37a'),\n",
       " Delayed('getQTrajectory-5d6ef91f-3ea4-4b11-a96f-3bf0cc05fb0a'),\n",
       " Delayed('getQTrajectory-c89a2648-51b8-46bf-b036-9a4d0a15d879'),\n",
       " Delayed('getQTrajectory-58824f0e-43f7-42c9-bbea-2529d4b76f0c'),\n",
       " Delayed('getQTrajectory-fddd6553-8289-4ea8-ba94-e388ecf3de49'),\n",
       " Delayed('getQTrajectory-8cd0d43f-fec3-4fd0-a754-acd588972d53'),\n",
       " Delayed('getQTrajectory-f730d439-e40b-4344-914c-159cb62b5512'),\n",
       " Delayed('getQTrajectory-a7b2bb89-99c5-40c2-ae21-fb732ba1df9d'),\n",
       " Delayed('getQTrajectory-a64f5744-c31b-4912-8464-7f0703b851cc'),\n",
       " Delayed('getQTrajectory-67fe0c4a-6a27-4df8-abbb-deae2fc43789'),\n",
       " Delayed('getQTrajectory-4ee92a08-0c94-42d6-a584-3b36958f2710'),\n",
       " Delayed('getQTrajectory-3a415afa-358b-4414-9eaa-c4b78351da69'),\n",
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       " Delayed('getQTrajectory-b9b6c4e5-1288-4a50-a43f-2b2748d91154'),\n",
       " Delayed('getQTrajectory-76ca28bf-1605-4519-84d4-7141fd09992f'),\n",
       " Delayed('getQTrajectory-7cd51b06-b808-4f77-b7d0-40e8558cd33d'),\n",
       " Delayed('getQTrajectory-0e1f148c-de03-4b17-923e-b73cdc7e748a'),\n",
       " Delayed('getQTrajectory-cbd83f5c-3672-40cd-be32-36a54948b71d'),\n",
       " Delayed('getQTrajectory-5f0b4048-368c-47ab-a018-3d96bbf44bd8'),\n",
       " Delayed('getQTrajectory-a8bb44a9-b6e1-4cd8-8293-e4b2b0b288e6'),\n",
       " Delayed('getQTrajectory-4a653950-fa6a-459c-abef-db7867eca938'),\n",
       " Delayed('getQTrajectory-05aadcc1-fbe2-4cae-b667-bc066b6f388a'),\n",
       " Delayed('getQTrajectory-229a8c92-1e87-4106-8e6a-5f50fe7c39c2'),\n",
       " Delayed('getQTrajectory-dba6af55-b434-469b-8085-078e4b3055ee'),\n",
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       " Delayed('getQTrajectory-f8fdf672-b36e-40dc-9883-3553a4d0b090'),\n",
       " Delayed('getQTrajectory-3e5b8c5f-53e9-4482-a919-9e4b3c8cde4f'),\n",
       " Delayed('getQTrajectory-c9609528-b046-4290-91a5-05d1109326a5'),\n",
       " Delayed('getQTrajectory-e15b5b4c-a6db-46e0-948e-616342e24054'),\n",
       " Delayed('getQTrajectory-f49907f9-5ab9-4da1-8213-38f2e4e76e86'),\n",
       " Delayed('getQTrajectory-ad761e1b-56a1-4c8d-aa20-7518acae145a'),\n",
       " Delayed('getQTrajectory-813011bb-79e0-4ab7-a954-de28c6bc48a1'),\n",
       " Delayed('getQTrajectory-b46def23-7c2c-4dce-8e0e-8dbef0c31d79'),\n",
       " Delayed('getQTrajectory-d188d994-8865-4179-ae51-1a1b5e148def'),\n",
       " Delayed('getQTrajectory-f88a609c-9a3f-412e-ab5b-555e55d04978'),\n",
       " Delayed('getQTrajectory-d520bbf4-8d2d-4972-bf23-f9bd36c5a0df'),\n",
       " Delayed('getQTrajectory-d952fc9a-32e4-4520-9b6e-2bfe4b1a5766'),\n",
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       " Delayed('getQTrajectory-d797d6f8-8a5b-4d6e-80d2-5c8e2bc1300d'),\n",
       " Delayed('getQTrajectory-3fcca5b6-0147-48bc-8ffb-ce450c3485e8'),\n",
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       " Delayed('getQTrajectory-3d05c81a-6291-4404-9a16-2788407edc52'),\n",
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       " Delayed('getQTrajectory-da993ee3-cf72-4d52-b62c-83962ceda095'),\n",
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       " Delayed('getQTrajectory-9c898628-b5da-4878-957f-20167ded0392'),\n",
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       " Delayed('getQTrajectory-61d6e7db-87c6-4ec1-a1a9-b18e553259af'),\n",
       " Delayed('getQTrajectory-3e062381-44ab-459a-ac09-7271f23c042e'),\n",
       " Delayed('getQTrajectory-37b38ff6-de74-44ec-8baa-0585d4116abd'),\n",
       " Delayed('getQTrajectory-87a1448e-d910-436d-801e-70d9c345561b'),\n",
       " Delayed('getQTrajectory-6969758d-5213-4529-8082-90eca55998a4'),\n",
       " Delayed('getQTrajectory-95f00023-4986-4876-bb67-930b77ea534c'),\n",
       " Delayed('getQTrajectory-72131627-54cb-40f0-a546-f05a315ce494'),\n",
       " Delayed('getQTrajectory-6af9a064-b922-4e68-9436-977e9c2925e1'),\n",
       " Delayed('getQTrajectory-810c216f-7948-404e-a7a5-71be83d188de'),\n",
       " Delayed('getQTrajectory-a1116bca-9331-4303-8faa-9524a6a0b794'),\n",
       " Delayed('getQTrajectory-2fb20822-c5a4-414e-bbee-e5667d649d44'),\n",
       " Delayed('getQTrajectory-19e78837-d62a-4a97-a8df-359d31409a01'),\n",
       " Delayed('getQTrajectory-1369fae8-499c-4ad2-ac52-a4eec8b9ddb4'),\n",
       " Delayed('getQTrajectory-a0177f27-8bc9-45ba-ba5f-e9c289041226'),\n",
       " Delayed('getQTrajectory-35d69a03-d95c-4e58-8155-de5bd7a617be'),\n",
       " Delayed('getQTrajectory-504f95e8-fd01-4279-8505-bb0ee75d4f92'),\n",
       " Delayed('getQTrajectory-683b265b-67b7-4993-b98d-9e4f6a3222e6'),\n",
       " Delayed('getQTrajectory-e5c4d7f8-1da7-4756-b947-88a6119ea644'),\n",
       " Delayed('getQTrajectory-bba8aac8-32e2-44f8-8ab5-26191ce66325'),\n",
       " Delayed('getQTrajectory-2a451809-243d-4bab-b24a-5ff82afbdb9b'),\n",
       " Delayed('getQTrajectory-04ffd9c9-e545-4abb-ad15-cbf5f098f4c5'),\n",
       " Delayed('getQTrajectory-5172b4ca-e1ce-4691-abcc-ce6dcb344db2'),\n",
       " Delayed('getQTrajectory-dc42a9c2-9701-443e-8c4b-82f797636c48'),\n",
       " Delayed('getQTrajectory-7b6dc027-018b-4fbb-a0d9-c59373bb3868'),\n",
       " Delayed('getQTrajectory-5e9820cc-bca1-4233-a450-5cdb868eb42f'),\n",
       " Delayed('getQTrajectory-8a637b99-199d-40c7-8250-a7377002826a'),\n",
       " Delayed('getQTrajectory-04b61798-5c59-4886-955b-007df8ef22b8'),\n",
       " Delayed('getQTrajectory-3076d47c-52c7-4665-879a-fb3b629b6f14'),\n",
       " Delayed('getQTrajectory-2825319e-7de0-4660-90c4-3dfe0c93f46c'),\n",
       " Delayed('getQTrajectory-eea8006f-f608-4d24-86c8-03507f0fec64'),\n",
       " Delayed('getQTrajectory-2e1ef92f-9839-436d-ac26-d7c2ef0fe4f0'),\n",
       " Delayed('getQTrajectory-c8367488-d371-42d1-9bf0-e150b607978e'),\n",
       " Delayed('getQTrajectory-02030348-4749-426a-9725-61021aec225e'),\n",
       " Delayed('getQTrajectory-eb60401f-a86e-4681-80f4-9a89f5c75c58'),\n",
       " Delayed('getQTrajectory-0532b3de-720a-485a-8d77-e768399803e7'),\n",
       " Delayed('getQTrajectory-1d3dbc82-e28b-4972-b07b-0ffbf9a240d7'),\n",
       " Delayed('getQTrajectory-b42d0ff2-c78d-48ba-b1fb-3dae041973a8'),\n",
       " Delayed('getQTrajectory-f3bc080f-6510-410a-a309-8ccc7746a5bf'),\n",
       " Delayed('getQTrajectory-3cdef6d5-3835-4d64-a82c-b093d5c66c37'),\n",
       " Delayed('getQTrajectory-63d0922c-0f9c-4d5a-bcbf-1e88c142bb1e'),\n",
       " Delayed('getQTrajectory-f47dd87f-0670-46d7-9b80-3c1fe002d0a3'),\n",
       " Delayed('getQTrajectory-09830435-ae97-4243-8be6-f652fc445398'),\n",
       " Delayed('getQTrajectory-f0e3da2a-aa66-4567-9bd4-28339932f44f'),\n",
       " Delayed('getQTrajectory-dc673f1b-ed65-4993-a049-16154b755e5a'),\n",
       " Delayed('getQTrajectory-cee04b91-8ac3-4dd6-9e81-f0fa299c40d7'),\n",
       " Delayed('getQTrajectory-cd0b7fef-520c-498b-afaf-dbe0fd02a14b'),\n",
       " Delayed('getQTrajectory-6e069348-0f9c-49dc-a98a-5f8fdb2f369a'),\n",
       " Delayed('getQTrajectory-8e766120-0b17-4c80-950d-1bbeba98b5e4'),\n",
       " Delayed('getQTrajectory-8a89051f-32f8-4b40-a15e-254b933a0fe9'),\n",
       " Delayed('getQTrajectory-d7929e60-6206-4e74-8427-38c6f7b247bb'),\n",
       " Delayed('getQTrajectory-bd24484a-01e2-4d56-baad-a5c28a3ef0f0'),\n",
       " Delayed('getQTrajectory-8e3e5960-2615-49ba-81da-a1b7fd1ba3fa'),\n",
       " Delayed('getQTrajectory-bfa1f6d6-3389-4548-8729-e6bf49088f17'),\n",
       " Delayed('getQTrajectory-378f09e9-5e1f-474e-a384-29c2d3788ded'),\n",
       " Delayed('getQTrajectory-ef96c050-0ba3-46d5-96fd-166f385b5489'),\n",
       " Delayed('getQTrajectory-cf55793c-44b0-4313-882f-7311027484d6'),\n",
       " Delayed('getQTrajectory-246a5c88-b6b1-4711-b27e-33dee0188a86'),\n",
       " Delayed('getQTrajectory-50cb1ee3-b152-470e-939f-6fff160949d8'),\n",
       " Delayed('getQTrajectory-a58aa88d-9b5a-45d9-85d5-7169f5348e8c'),\n",
       " Delayed('getQTrajectory-0e408e75-696b-4cbd-85f0-b221499433e2'),\n",
       " Delayed('getQTrajectory-5d2eb908-247a-495d-84ec-84854a0101b6'),\n",
       " Delayed('getQTrajectory-72697d93-d2e7-4ec0-9fac-c6d337fb3a05'),\n",
       " Delayed('getQTrajectory-6b5e2f22-2e59-4fd6-b08d-6e07f13e1efe'),\n",
       " Delayed('getQTrajectory-bd5370f0-486c-435d-b778-328da2f86869'),\n",
       " Delayed('getQTrajectory-82a8b625-b717-422b-9bf1-b3737d89a890'),\n",
       " Delayed('getQTrajectory-1490bf76-5c9d-4fc2-bec0-6653bb17ae84'),\n",
       " Delayed('getQTrajectory-fdc76573-141b-43a0-a8ac-2639790ba3d8'),\n",
       " Delayed('getQTrajectory-c6016a18-29fc-4612-b3b5-329352b3ea97'),\n",
       " Delayed('getQTrajectory-6aabb93b-7624-49cc-8a3c-3273b976a72c'),\n",
       " Delayed('getQTrajectory-87b3e0d4-69b8-49dd-a270-787739da3241'),\n",
       " Delayed('getQTrajectory-27659871-6119-4f5f-b8fe-bdb5108837e8'),\n",
       " Delayed('getQTrajectory-5cd092e8-4651-45e0-8930-0cce88d67590'),\n",
       " Delayed('getQTrajectory-34bea1fa-5c35-47da-b687-2a306d11abc9'),\n",
       " Delayed('getQTrajectory-3e57e90c-20b7-4451-a58c-0f4ea24a2b90'),\n",
       " Delayed('getQTrajectory-d31618de-01a7-4c25-931b-ff5f8ebd5b4a'),\n",
       " Delayed('getQTrajectory-527fdccb-8814-45a1-877e-eec350d3986b'),\n",
       " Delayed('getQTrajectory-12caae17-4849-4e71-8f44-8657d1a2534a'),\n",
       " Delayed('getQTrajectory-3ea6b23c-58ff-41b5-bdb8-ed7cfe09c634'),\n",
       " Delayed('getQTrajectory-96aacd8e-d31b-489c-bc91-1dacf2f59175'),\n",
       " Delayed('getQTrajectory-da3d6db4-c95b-4473-a22d-6f51e75d11d9'),\n",
       " Delayed('getQTrajectory-7329fe8d-7abb-4e0f-904c-5da8ac84063a'),\n",
       " Delayed('getQTrajectory-971c5cbd-18ca-4d5c-b931-8c0c85cf80d7'),\n",
       " Delayed('getQTrajectory-ab776553-b43c-4934-8c4b-b76a4e0e6c10'),\n",
       " Delayed('getQTrajectory-a2fec906-06af-48e6-b11f-4faf53c46547'),\n",
       " Delayed('getQTrajectory-f6fbf505-fa99-48ee-bfef-4d9545d046ee'),\n",
       " Delayed('getQTrajectory-9ad0fb25-5dc5-44c9-9bf2-afcd0700ca2f'),\n",
       " Delayed('getQTrajectory-b7aa7ce1-d423-4888-8ace-d1bdf3167380'),\n",
       " Delayed('getQTrajectory-f65b4729-09c7-475f-a7a1-37d127ad9953'),\n",
       " Delayed('getQTrajectory-f9237d91-224a-4ba8-a6d7-71ceac7760f3'),\n",
       " Delayed('getQTrajectory-40d297e5-ba63-4ade-9bba-a1f2d0dfd54a'),\n",
       " Delayed('getQTrajectory-4dbfe0a5-c3d2-4d6a-b92c-363178f83431'),\n",
       " Delayed('getQTrajectory-be894296-b6f8-4660-9f6b-674d4561418a'),\n",
       " Delayed('getQTrajectory-7a906543-0412-4577-a99f-53ccffc51eed'),\n",
       " Delayed('getQTrajectory-50813849-94a8-4a04-ace4-df4be8974505'),\n",
       " Delayed('getQTrajectory-1c47c675-d20a-4f90-9c13-c18345f923af'),\n",
       " Delayed('getQTrajectory-4ebcdbf1-938a-4055-99f5-dba91aa1d65f'),\n",
       " Delayed('getQTrajectory-8ce653be-7a9b-46e4-b642-1f733375b8c1'),\n",
       " Delayed('getQTrajectory-6d028d5d-fba3-42b7-a51d-f886ae915715'),\n",
       " Delayed('getQTrajectory-86e6f6de-2b6a-48fd-93e8-7ba65389af7f'),\n",
       " Delayed('getQTrajectory-8e0eb34d-c547-473f-938d-0a8f2c63d2a8'),\n",
       " Delayed('getQTrajectory-b680c62c-ec15-4497-933f-54dd4d01654d'),\n",
       " Delayed('getQTrajectory-499f5fd8-4bb3-4b9b-85c4-1184ac9b4644'),\n",
       " Delayed('getQTrajectory-21e7dc73-7a71-4ac6-a956-317fced8ca5b'),\n",
       " Delayed('getQTrajectory-5dbbff91-7f22-4a4e-80c1-2d74874c9ed4'),\n",
       " Delayed('getQTrajectory-cb57d81a-3443-4640-b308-f90d840b4cc5'),\n",
       " Delayed('getQTrajectory-972c7777-f229-4315-a8f5-896bff17b155'),\n",
       " Delayed('getQTrajectory-d9d271a4-ceac-458c-af8d-02525ac0ffe0'),\n",
       " Delayed('getQTrajectory-30acb2f4-0e9d-47e8-a7ad-f686b125cb5d'),\n",
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       " Delayed('getQTrajectory-6d24c45e-5567-4c0c-9573-28b2eb8db578'),\n",
       " Delayed('getQTrajectory-47b06a6d-2f5d-46f6-bfe3-65a354c026ff'),\n",
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       " Delayed('getQTrajectory-f3249faf-87ac-4e99-859a-b78778e69faa'),\n",
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       " Delayed('getQTrajectory-89a2a954-0734-44b2-ba42-e8d3c1db6522'),\n",
       " Delayed('getQTrajectory-5fe84094-e4a8-4458-a629-f5dbf77098f3'),\n",
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       " Delayed('getQTrajectory-6ae98be5-605f-4d7d-80f2-14cb4e8c2f21'),\n",
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       " Delayed('getQTrajectory-c117bda7-2265-4b9e-971a-be6074474054'),\n",
       " Delayed('getQTrajectory-c8eaf5e8-a0fc-4085-b5a8-d2e663edacab'),\n",
       " Delayed('getQTrajectory-02a19132-8330-44c7-b46e-d76c70f8f7ce'),\n",
       " Delayed('getQTrajectory-8118e119-9a3f-483a-8a6f-66b356df733f'),\n",
       " Delayed('getQTrajectory-652db9e5-bbb2-4c5f-9b33-1a257f7ddd91'),\n",
       " Delayed('getQTrajectory-18445a6c-4e59-4f2d-aee9-bd6dfaf6b92f'),\n",
       " Delayed('getQTrajectory-aa6893ea-4afd-4a12-8ef9-0d0341c90346'),\n",
       " Delayed('getQTrajectory-d88ccec6-3d59-481c-86b4-4e94cad24bd2'),\n",
       " Delayed('getQTrajectory-2db6f436-43c0-44bc-b4e1-c5f4e19f84ae'),\n",
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       " Delayed('getQTrajectory-f1b08e5b-3879-4dd3-9430-64cf0b80f434'),\n",
       " Delayed('getQTrajectory-94fa925d-c602-41a8-8f2f-4426be10a280'),\n",
       " Delayed('getQTrajectory-6d20484d-8456-473b-9dae-8b9ef9bc3a2d'),\n",
       " Delayed('getQTrajectory-c4e0fd78-003c-46f1-9751-8eac48c31b26'),\n",
       " Delayed('getQTrajectory-e11be23d-7621-4938-8ab9-29464a0805a7'),\n",
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       " Delayed('getQTrajectory-36ea5413-44dd-4f13-9993-33a39c8cb023'),\n",
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       " Delayed('getQTrajectory-e35b572e-1e0e-4f3f-86b0-79a1027d2366'),\n",
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       " Delayed('getQTrajectory-a9d8e406-0257-401c-b49b-54560f6bbdbc'),\n",
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       " Delayed('getQTrajectory-2941eaa3-c8aa-4d3a-9ae2-d1d4de469f5d'),\n",
       " Delayed('getQTrajectory-c8e8a095-6573-4a7c-854e-49f6a226f8f2'),\n",
       " Delayed('getQTrajectory-fe7a6c07-8f44-47f1-acf7-146ec596f072'),\n",
       " Delayed('getQTrajectory-5d5dcc1a-5b61-4cfa-bd2c-db4783431bb7'),\n",
       " Delayed('getQTrajectory-08c26d56-ade7-4219-bff1-f87caa0468e3'),\n",
       " Delayed('getQTrajectory-b50ad3de-7fb3-47fa-83b4-7887d19148fc'),\n",
       " Delayed('getQTrajectory-66e147b0-9272-4034-ab46-7fb819923204'),\n",
       " Delayed('getQTrajectory-448beed8-6171-4a02-873c-5b3a81174e9e'),\n",
       " Delayed('getQTrajectory-fb0ac18e-c71c-44a1-88fe-925fbea968ce'),\n",
       " Delayed('getQTrajectory-ba1f0b64-5f24-4e62-8c43-02ab983ad8b1'),\n",
       " Delayed('getQTrajectory-42db9b8f-f4ab-439c-8b46-b4b46594a9f9'),\n",
       " Delayed('getQTrajectory-0cb45ed2-6157-49eb-b2f9-6ec482e85a4e'),\n",
       " Delayed('getQTrajectory-b50cebec-7151-4523-b00e-ca3e7a1dd3bd'),\n",
       " Delayed('getQTrajectory-f6a1cb81-373f-42e9-923c-e0b5934fdf54'),\n",
       " Delayed('getQTrajectory-d6b8d41c-e517-457a-a0ce-f7b75d975565'),\n",
       " Delayed('getQTrajectory-ff9d9e39-4c4c-4441-8a3a-c2798087d0ae'),\n",
       " Delayed('getQTrajectory-f957639a-53a1-4838-bf3e-b02776982138'),\n",
       " Delayed('getQTrajectory-5e827126-25a9-4ca2-a88e-7c7ba415df89'),\n",
       " Delayed('getQTrajectory-e7889796-f7e0-4dcc-a789-74b0ed8eb4a7'),\n",
       " Delayed('getQTrajectory-cc66a6ff-5471-4ff1-8edc-3e48fad6a80e'),\n",
       " Delayed('getQTrajectory-5be736a3-5356-4b35-b14b-06f1ab055ff0'),\n",
       " Delayed('getQTrajectory-d19c55eb-49a1-4cae-af76-a82b1141c5c8'),\n",
       " Delayed('getQTrajectory-1e2a0d6d-db67-4053-bf4c-e9d22bacd394'),\n",
       " Delayed('getQTrajectory-95e6726e-015d-4aa0-9155-cffec44cb56c'),\n",
       " Delayed('getQTrajectory-9e939ffd-5c9f-4eba-8818-be5f8fd1f109'),\n",
       " Delayed('getQTrajectory-8b3c5950-ad8e-4812-801e-4aab38ce28f4'),\n",
       " Delayed('getQTrajectory-5058c9a7-8c25-49a2-8db2-356ea37b87e6'),\n",
       " Delayed('getQTrajectory-1b5e8ee7-027e-4b5f-8df6-b092eb543eea'),\n",
       " Delayed('getQTrajectory-7b727865-621d-4193-b327-af237f57f14a'),\n",
       " Delayed('getQTrajectory-5fd93029-14ba-43b5-9be7-8a95bbc94c55'),\n",
       " Delayed('getQTrajectory-b064e763-c4a2-4eba-a48c-3fc4fc42ee0d'),\n",
       " Delayed('getQTrajectory-c3deaf17-14d5-464f-92af-0ecef2f30476'),\n",
       " Delayed('getQTrajectory-721bfb48-4b6b-4ea0-8cf9-d8b3a6e33b02'),\n",
       " Delayed('getQTrajectory-226edc52-c9e5-46d9-868e-9e4405f4000c'),\n",
       " Delayed('getQTrajectory-5ef57481-e34e-4d33-9a28-d9acb676b044'),\n",
       " Delayed('getQTrajectory-76c759c2-c670-497b-b09c-ebc7a7616511'),\n",
       " Delayed('getQTrajectory-c6fbe987-5117-4ae4-ba7b-017fec219c80'),\n",
       " Delayed('getQTrajectory-43031891-706a-4d27-8e4a-c34446a7c876'),\n",
       " Delayed('getQTrajectory-4c45ca77-c014-428f-8d7d-137d1488f4ec'),\n",
       " Delayed('getQTrajectory-29b476e9-4d6f-4065-b37c-280b7809395d'),\n",
       " Delayed('getQTrajectory-4bb08af3-5f56-4882-b0c4-3a73653a59b8'),\n",
       " Delayed('getQTrajectory-08757e56-4959-4472-9409-777c7a9cf212'),\n",
       " Delayed('getQTrajectory-24105128-861c-4818-8f18-c48bb3fdaa7a'),\n",
       " Delayed('getQTrajectory-5468b97e-d46d-4c33-a93b-3adbf9557bd2'),\n",
       " Delayed('getQTrajectory-44830fc1-f90b-4027-a135-d5a7cd30eb67'),\n",
       " Delayed('getQTrajectory-6a50effa-95bb-4862-b25c-a33b99a27471'),\n",
       " Delayed('getQTrajectory-fdc1820d-26d0-4a87-bffe-8a91254f2ce1'),\n",
       " Delayed('getQTrajectory-43f044e7-d4f8-4691-a145-c34a4a88d243'),\n",
       " Delayed('getQTrajectory-b42e60b9-070a-44b1-ad7f-6b865bb79bb0'),\n",
       " Delayed('getQTrajectory-4c6ac345-0a4e-4dbd-b8d7-83244fa17f42'),\n",
       " Delayed('getQTrajectory-e5c629da-6681-4535-91c5-a0ad2ddccd3b'),\n",
       " Delayed('getQTrajectory-86b7c957-6891-4381-876e-cc36ecdc585a'),\n",
       " Delayed('getQTrajectory-71e7e219-f06a-45ee-a66e-ddb688f7ec3c'),\n",
       " Delayed('getQTrajectory-9840c937-f28a-46d0-bd82-911fb56ea547'),\n",
       " Delayed('getQTrajectory-e66ec17b-ce28-418d-9fc1-279bb1c66838'),\n",
       " Delayed('getQTrajectory-f1db4c12-3b5b-46f8-b7d3-747ba2f7fe7b'),\n",
       " Delayed('getQTrajectory-6a46caa8-ee74-491b-a968-de900717609f'),\n",
       " Delayed('getQTrajectory-90b1e695-8df6-4318-93f7-93598489571f'),\n",
       " Delayed('getQTrajectory-6ec00d13-bdbb-46b4-86f8-64c618802b22'),\n",
       " Delayed('getQTrajectory-8f6332d6-408c-40c8-b00b-a2cf73f2998e'),\n",
       " Delayed('getQTrajectory-d8a3f6de-d8a2-45aa-9f9a-2600c47f0c0d'),\n",
       " Delayed('getQTrajectory-a51ac282-5251-411b-b63b-2aa8e6b22256'),\n",
       " Delayed('getQTrajectory-dd6b396a-7259-4b09-9ce0-49cd0b00f547'),\n",
       " Delayed('getQTrajectory-e74ebe0a-efcc-472e-8b8d-203f24b327be'),\n",
       " Delayed('getQTrajectory-f2b73976-abae-43f1-bb95-bc2603969703'),\n",
       " Delayed('getQTrajectory-b64db5d3-45b6-4c31-8c4d-7ee6f7d7221f'),\n",
       " Delayed('getQTrajectory-7d908fba-7718-4c6d-8848-51faca9b3bac'),\n",
       " Delayed('getQTrajectory-de3c682f-e1bf-4a99-b8ab-a04ba0c6705a'),\n",
       " Delayed('getQTrajectory-c81b133f-5a57-4d22-aa36-16097b33a5c6'),\n",
       " Delayed('getQTrajectory-ed741cc9-cb8a-4239-b3b5-4c9bbc7197d5'),\n",
       " Delayed('getQTrajectory-21cdd19f-8ed7-4c2f-b912-a86563b980d8'),\n",
       " Delayed('getQTrajectory-0b68b6d4-3568-4605-8202-4740aef531e9'),\n",
       " Delayed('getQTrajectory-3c34c92e-a6ba-42c3-be51-961fca864bf6'),\n",
       " Delayed('getQTrajectory-b988b692-07ee-48f4-9820-f92a91b1b7f3'),\n",
       " Delayed('getQTrajectory-768861a6-263c-4f3d-a1c6-99a350dc3a04'),\n",
       " Delayed('getQTrajectory-6d0c8277-64ef-4870-8e4b-ea87a6842f28'),\n",
       " Delayed('getQTrajectory-50b51883-5210-4f14-9652-d7cce8f34620'),\n",
       " Delayed('getQTrajectory-856afe95-1e4e-4918-8e43-b1bfdf7b95ea'),\n",
       " Delayed('getQTrajectory-def73739-8396-45ce-83ab-fe41108d70cd'),\n",
       " Delayed('getQTrajectory-c8027bc8-7ab9-4914-9b79-9f82646b09a9'),\n",
       " Delayed('getQTrajectory-6e3dc93a-fd81-4640-aac6-77b234f8e7d8'),\n",
       " Delayed('getQTrajectory-72b74fca-1824-4155-8242-7572cd0e1ce8'),\n",
       " Delayed('getQTrajectory-2f10a668-6de4-44b0-a254-d7f662decd7d'),\n",
       " Delayed('getQTrajectory-db178733-6369-48f4-83f6-d87e9150e675'),\n",
       " Delayed('getQTrajectory-a049db6b-a961-4f30-8397-960ef0d4c695'),\n",
       " Delayed('getQTrajectory-b175432c-1b84-42bf-9baf-3e068d935c1a'),\n",
       " Delayed('getQTrajectory-eb14fbf6-127c-458c-b96c-3cf29d8e327d'),\n",
       " Delayed('getQTrajectory-43018326-934c-4d48-bf4a-5ebcdd54537c'),\n",
       " Delayed('getQTrajectory-36b40887-2240-4f42-a4c0-e12b01635f2a'),\n",
       " Delayed('getQTrajectory-47ce5622-9820-4319-9d61-94a059eb9feb'),\n",
       " Delayed('getQTrajectory-e0cbc00c-bfec-4cd6-af58-ebaa3d8606d1'),\n",
       " Delayed('getQTrajectory-5eed2f63-ec39-4ce6-9e5a-b8f49d36bfc4'),\n",
       " Delayed('getQTrajectory-2d1d14a0-45ec-4f27-8544-27d8750b10e4'),\n",
       " Delayed('getQTrajectory-4eb9f71c-d2b7-4d21-a783-57d217d7ce1e'),\n",
       " Delayed('getQTrajectory-d2055002-4777-4a52-9217-247b90a0902f'),\n",
       " Delayed('getQTrajectory-d98e8edc-fd58-4463-8db4-2be738e4734a'),\n",
       " Delayed('getQTrajectory-edc11e1d-dac1-4967-bc24-de06f9bf59d5'),\n",
       " Delayed('getQTrajectory-e724088d-1f65-4f15-bdf0-ba482c509f2d'),\n",
       " Delayed('getQTrajectory-04830d1e-426f-48ab-be5f-eb2a5e8d8a08'),\n",
       " Delayed('getQTrajectory-062b9915-8201-4ae6-89ac-35cb6f5541ba'),\n",
       " Delayed('getQTrajectory-6a180a43-5ed7-4d73-a7cb-98a5b7f6dc20'),\n",
       " Delayed('getQTrajectory-b81c7fdb-42a8-41eb-9d24-31fe80b66ddb'),\n",
       " Delayed('getQTrajectory-8d0638eb-9063-4482-8530-924d4bf7de68'),\n",
       " Delayed('getQTrajectory-d774598d-8193-4057-9ffb-7c9d52ea148f'),\n",
       " Delayed('getQTrajectory-b1db851a-d8f2-4c68-b843-9fa34b3595da'),\n",
       " Delayed('getQTrajectory-dbaa2da4-db58-4a24-aad6-2eed9df80f19'),\n",
       " Delayed('getQTrajectory-e78c2fbf-40ae-4b24-aca0-f268f2bca78d'),\n",
       " Delayed('getQTrajectory-9e65c016-3b6b-4598-b68f-5d4219964407'),\n",
       " Delayed('getQTrajectory-fdcca6ed-e832-41a6-834e-1ba9b7dfca57'),\n",
       " Delayed('getQTrajectory-f7979e36-b260-4417-9e09-12d2f25d65ba'),\n",
       " Delayed('getQTrajectory-9acc8d7e-bf9d-4556-8829-c939fce3b842'),\n",
       " Delayed('getQTrajectory-5192f6bc-15a7-4544-8e32-0ebe3836613d'),\n",
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       " Delayed('getQTrajectory-b1899d2d-c1a9-4f98-86a6-56298f0b19ff'),\n",
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       " Delayed('getQTrajectory-d1a4396e-13c7-4ad5-9599-30f6477d463b'),\n",
       " Delayed('getQTrajectory-7ad3a4f7-803c-4ccd-a78f-9a0263f48e16'),\n",
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       " Delayed('getQTrajectory-48081905-53b9-4d72-9227-43116f0cb094'),\n",
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       " Delayed('getQTrajectory-7b50ecf5-350a-43b2-a7bb-60ea455459b6'),\n",
       " Delayed('getQTrajectory-13fa5780-3d9b-44c8-90fe-d8dee5d8ddb9'),\n",
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       " Delayed('getQTrajectory-46ba6676-8833-41f3-a5ee-8c0f20000f64'),\n",
       " Delayed('getQTrajectory-5488e262-0d79-4b98-b0a6-768f649df759'),\n",
       " Delayed('getQTrajectory-4267520d-2d6f-48fa-a7ed-46c18c2815dd'),\n",
       " Delayed('getQTrajectory-b59c5128-f40e-425c-ae85-3f038bc9976f'),\n",
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       " Delayed('getQTrajectory-19258d1d-9195-4be8-b6f3-df207a0085c8'),\n",
       " Delayed('getQTrajectory-692bd23c-7a3f-4d24-981b-d0b5df09d6ad'),\n",
       " Delayed('getQTrajectory-63362cd6-1f04-486c-8f1b-996ba1ac2f4f'),\n",
       " Delayed('getQTrajectory-dcbd9492-a782-4b0e-9801-735a0e2b9f49'),\n",
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       " Delayed('getQTrajectory-49c4ffd0-8c7a-47e9-9f27-bbfbc417da0c'),\n",
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       " Delayed('getQTrajectory-087f83d0-0053-4177-8f2b-95589f8d4634'),\n",
       " Delayed('getQTrajectory-6ed4a151-87f0-41c6-99ab-f0aaca0faae8'),\n",
       " Delayed('getQTrajectory-7000b4b2-2f01-4614-83b3-942cee766eb2'),\n",
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       " Delayed('getQTrajectory-5e0bdee5-cef2-4c60-b3a7-df03e7d2c0c6'),\n",
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       " Delayed('getQTrajectory-29aab753-5bbe-487f-88ca-bb070d9d8a26'),\n",
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       " Delayed('getQTrajectory-de1a4374-a40c-41ef-9ce3-cd181cb762d8'),\n",
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       " Delayed('getQTrajectory-8898f0f7-2e52-4336-b618-5d319eb70b17'),\n",
       " Delayed('getQTrajectory-e32bb0d2-3c86-40b8-931c-22b1741e0d81'),\n",
       " Delayed('getQTrajectory-020d1a60-7a03-43e1-ae4e-bfb37612d3c2'),\n",
       " Delayed('getQTrajectory-db4fa48a-a547-4a74-adfb-3c3fb83e6875'),\n",
       " Delayed('getQTrajectory-0a8b4cac-e4b2-4d5b-8699-e20eabafd8cc'),\n",
       " Delayed('getQTrajectory-c53b95fa-7774-4f23-a100-3caee9db9603'),\n",
       " Delayed('getQTrajectory-838db025-5ecd-4b0e-be00-c44b7e5db75d'),\n",
       " Delayed('getQTrajectory-84dbf8a0-ec52-4008-a210-ff7572542fa8'),\n",
       " Delayed('getQTrajectory-222aabc0-aafd-4290-a007-0ab84d80c4be'),\n",
       " Delayed('getQTrajectory-8e86f1c6-8043-41e1-a97a-6f19e7189644'),\n",
       " Delayed('getQTrajectory-b176214b-4465-4e2e-993c-6725298b128c'),\n",
       " Delayed('getQTrajectory-fdc48fcb-e6ca-43fa-82fd-583348fd6bc0'),\n",
       " Delayed('getQTrajectory-12c3b30a-e739-47d5-98cd-4bd03305f58d'),\n",
       " Delayed('getQTrajectory-dea54a82-5436-48e2-a52f-2faff836fbc4'),\n",
       " Delayed('getQTrajectory-63c2a476-7258-4563-8d30-a07b414a2d05'),\n",
       " Delayed('getQTrajectory-3aaa658d-1adc-4889-a4ee-de76bd886aeb'),\n",
       " Delayed('getQTrajectory-9e248ffe-8c41-40e0-8776-2019c6d0df90'),\n",
       " Delayed('getQTrajectory-3504efb2-b198-4be1-b9ed-8ba51d16b12d'),\n",
       " Delayed('getQTrajectory-33c62ffe-ba71-4041-9e2b-43079ecc0ec3'),\n",
       " Delayed('getQTrajectory-0e0080f8-a9da-4cd0-8dfd-25842c3789ab'),\n",
       " Delayed('getQTrajectory-3b17cbe3-5eed-40da-9cfb-bcf6454d16e2'),\n",
       " ...]"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "delayed_traj = calculate_nuctraj('traj.long',500)\n",
    "delayed_traj"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "ename": "KeyboardInterrupt",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-50-ebabf56f3a6e>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mget_ipython\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrun_cell_magic\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34mu'timeit'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34mu''\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34mu'nucs = []\\nfor i in range(len(delayed_traj)):\\n    nucs.append(delayed_traj[i].compute())'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;32m/home/users/menonsqr/anaconda2/lib/python2.7/site-packages/IPython/core/interactiveshell.pyc\u001b[0m in \u001b[0;36mrun_cell_magic\u001b[0;34m(self, magic_name, line, cell)\u001b[0m\n\u001b[1;32m   2115\u001b[0m             \u001b[0mmagic_arg_s\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mvar_expand\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mline\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mstack_depth\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2116\u001b[0m             \u001b[0;32mwith\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbuiltin_trap\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2117\u001b[0;31m                 \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mfn\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmagic_arg_s\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcell\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   2118\u001b[0m             \u001b[0;32mreturn\u001b[0m \u001b[0mresult\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2119\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m<decorator-gen-59>\u001b[0m in \u001b[0;36mtimeit\u001b[0;34m(self, line, cell)\u001b[0m\n",
      "\u001b[0;32m/home/users/menonsqr/anaconda2/lib/python2.7/site-packages/IPython/core/magic.pyc\u001b[0m in \u001b[0;36m<lambda>\u001b[0;34m(f, *a, **k)\u001b[0m\n\u001b[1;32m    186\u001b[0m     \u001b[0;31m# but it's overkill for just that one bit of state.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    187\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mmagic_deco\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0marg\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 188\u001b[0;31m         \u001b[0mcall\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mlambda\u001b[0m \u001b[0mf\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0ma\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mk\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mf\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0ma\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mk\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    189\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    190\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mcallable\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0marg\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/home/users/menonsqr/anaconda2/lib/python2.7/site-packages/IPython/core/magics/execution.pyc\u001b[0m in \u001b[0;36mtimeit\u001b[0;34m(self, line, cell)\u001b[0m\n\u001b[1;32m   1055\u001b[0m             \u001b[0mnumber\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1056\u001b[0m             \u001b[0;32mfor\u001b[0m \u001b[0m_\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mrange\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m10\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1057\u001b[0;31m                 \u001b[0mtime_number\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtimer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtimeit\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnumber\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1058\u001b[0m                 \u001b[0mworst_tuning\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mmax\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mworst_tuning\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtime_number\u001b[0m \u001b[0;34m/\u001b[0m \u001b[0mnumber\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1059\u001b[0m                 \u001b[0;32mif\u001b[0m \u001b[0mtime_number\u001b[0m \u001b[0;34m>=\u001b[0m \u001b[0;36m0.2\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/home/users/menonsqr/anaconda2/lib/python2.7/site-packages/IPython/core/magics/execution.pyc\u001b[0m in \u001b[0;36mtimeit\u001b[0;34m(self, number)\u001b[0m\n\u001b[1;32m    137\u001b[0m         \u001b[0mgc\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdisable\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    138\u001b[0m         \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 139\u001b[0;31m             \u001b[0mtiming\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0minner\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mit\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtimer\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    140\u001b[0m         \u001b[0;32mfinally\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    141\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0mgcold\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m<magic-timeit>\u001b[0m in \u001b[0;36minner\u001b[0;34m(_it, _timer)\u001b[0m\n",
      "\u001b[0;32m/home/users/menonsqr/anaconda2/lib/python2.7/site-packages/dask/base.pyc\u001b[0m in \u001b[0;36mcompute\u001b[0;34m(self, **kwargs)\u001b[0m\n\u001b[1;32m    154\u001b[0m         \u001b[0mdask\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbase\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcompute\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    155\u001b[0m         \"\"\"\n\u001b[0;32m--> 156\u001b[0;31m         \u001b[0;34m(\u001b[0m\u001b[0mresult\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcompute\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtraverse\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mFalse\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    157\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mresult\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    158\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/home/users/menonsqr/anaconda2/lib/python2.7/site-packages/dask/base.pyc\u001b[0m in \u001b[0;36mcompute\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m    400\u001b[0m     \u001b[0mkeys\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__dask_keys__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mx\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mcollections\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    401\u001b[0m     \u001b[0mpostcomputes\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__dask_postcompute__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mx\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mcollections\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 402\u001b[0;31m     \u001b[0mresults\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mschedule\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdsk\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkeys\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    403\u001b[0m     \u001b[0;32mreturn\u001b[0m \u001b[0mrepack\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mf\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mr\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0ma\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mr\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mf\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0ma\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mzip\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mresults\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mpostcomputes\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    404\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/home/users/menonsqr/anaconda2/lib/python2.7/site-packages/distributed/client.pyc\u001b[0m in \u001b[0;36mget\u001b[0;34m(self, dsk, keys, restrictions, loose_restrictions, resources, sync, asynchronous, direct, retries, priority, fifo_timeout, **kwargs)\u001b[0m\n\u001b[1;32m   2191\u001b[0m             \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2192\u001b[0m                 results = self.gather(packed, asynchronous=asynchronous,\n\u001b[0;32m-> 2193\u001b[0;31m                                       direct=direct)\n\u001b[0m\u001b[1;32m   2194\u001b[0m             \u001b[0;32mfinally\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2195\u001b[0m                 \u001b[0;32mfor\u001b[0m \u001b[0mf\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mfutures\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mvalues\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/home/users/menonsqr/anaconda2/lib/python2.7/site-packages/distributed/client.pyc\u001b[0m in \u001b[0;36mgather\u001b[0;34m(self, futures, errors, maxsize, direct, asynchronous)\u001b[0m\n\u001b[1;32m   1566\u001b[0m             return self.sync(self._gather, futures, errors=errors,\n\u001b[1;32m   1567\u001b[0m                              \u001b[0mdirect\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mdirect\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlocal_worker\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mlocal_worker\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1568\u001b[0;31m                              asynchronous=asynchronous)\n\u001b[0m\u001b[1;32m   1569\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1570\u001b[0m     \u001b[0;34m@\u001b[0m\u001b[0mgen\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcoroutine\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/home/users/menonsqr/anaconda2/lib/python2.7/site-packages/distributed/client.pyc\u001b[0m in \u001b[0;36msync\u001b[0;34m(self, func, *args, **kwargs)\u001b[0m\n\u001b[1;32m    651\u001b[0m             \u001b[0;32mreturn\u001b[0m \u001b[0mfuture\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    652\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 653\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0msync\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mloop\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfunc\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    654\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    655\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m__repr__\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\u001b[0m\n",
      "\u001b[0;32m/home/users/menonsqr/anaconda2/lib/python2.7/site-packages/distributed/utils.pyc\u001b[0m in \u001b[0;36msync\u001b[0;34m(loop, func, *args, **kwargs)\u001b[0m\n\u001b[1;32m    273\u001b[0m     \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    274\u001b[0m         \u001b[0;32mwhile\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mis_set\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 275\u001b[0;31m             \u001b[0me\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mwait\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m10\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    276\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0merror\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[0m\n\u001b[1;32m    277\u001b[0m         \u001b[0msix\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mreraise\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0merror\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[0m\n",
      "\u001b[0;32m/home/users/menonsqr/anaconda2/lib/python2.7/threading.pyc\u001b[0m in \u001b[0;36mwait\u001b[0;34m(self, timeout)\u001b[0m\n\u001b[1;32m    612\u001b[0m         \u001b[0;32mwith\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__cond\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    613\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__flag\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 614\u001b[0;31m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__cond\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mwait\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtimeout\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    615\u001b[0m             \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__flag\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    616\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/home/users/menonsqr/anaconda2/lib/python2.7/threading.pyc\u001b[0m in \u001b[0;36mwait\u001b[0;34m(self, timeout)\u001b[0m\n\u001b[1;32m    357\u001b[0m                         \u001b[0;32mbreak\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    358\u001b[0m                     \u001b[0mdelay\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mmin\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdelay\u001b[0m \u001b[0;34m*\u001b[0m \u001b[0;36m2\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mremaining\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m.05\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 359\u001b[0;31m                     \u001b[0m_sleep\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdelay\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    360\u001b[0m                 \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mgotit\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    361\u001b[0m                     \u001b[0;32mif\u001b[0m \u001b[0m__debug__\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mKeyboardInterrupt\u001b[0m: "
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "distributed.nanny - WARNING - Restarting worker\n",
      "distributed.nanny - WARNING - Restarting worker\n",
      "distributed.nanny - WARNING - Restarting worker\n",
      "distributed.nanny - WARNING - Restarting worker\n",
      "distributed.nanny - WARNING - Restarting worker\n",
      "distributed.nanny - WARNING - Restarting worker\n",
      "distributed.nanny - WARNING - Restarting worker\n",
      "distributed.nanny - WARNING - Restarting worker\n"
     ]
    }
   ],
   "source": [
    "%%timeit\n",
    "nucs = []\n",
    "for i in range(len(delayed_traj)):\n",
    "    nucs.append(delayed_traj[i].compute())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now comparing agaon for traj 1 with the dask implementation-"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x7f4ae0661050>"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f4ae5cf4a50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "objects = ('code 1', 'code 2', 'code 3', 'code 4', 'code 5', 'Dask-serial')\n",
    "y_pos = np.arange(len(objects))\n",
    "performance = [629,548,575,559,600,253]\n",
    " \n",
    "plt.bar(y_pos, performance, align='center', alpha=0.5,color='#880E4F')\n",
    "plt.xticks(y_pos, objects)\n",
    "plt.ylabel('Time (ms)')\n",
    "plt.title('Performance for traj 1')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Dask clusters"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Dask can set up clusters for easy parallel calculations. There can be local clusters or clusters for various queuing systems like SUNGRID, SLURRM etc."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "distributed.nanny - WARNING - Worker process still alive after 47 seconds, killing\n",
      "distributed.nanny - WARNING - Worker process 8003 was killed by signal 15\n"
     ]
    },
    {
     "ename": "TimeoutError",
     "evalue": "Worker failed to start",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mTimeoutError\u001b[0m                              Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-51-326562389c37>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0mdistributed\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mClient\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mLocalCluster\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      2\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 3\u001b[0;31m \u001b[0mcluster\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mLocalCluster\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      4\u001b[0m \u001b[0mclient\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mClient\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcluster\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      5\u001b[0m \u001b[0mclient\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/home/users/menonsqr/anaconda2/lib/python2.7/site-packages/distributed/deploy/local.pyc\u001b[0m in \u001b[0;36m__init__\u001b[0;34m(self, n_workers, threads_per_worker, processes, loop, start, ip, scheduler_port, silence_logs, diagnostics_port, services, worker_services, service_kwargs, asynchronous, security, **worker_kwargs)\u001b[0m\n\u001b[1;32m    137\u001b[0m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mworker_kwargs\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'security'\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0msecurity\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    138\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 139\u001b[0;31m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstart\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mip\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mip\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mn_workers\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mn_workers\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    140\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    141\u001b[0m         \u001b[0mclusters_to_close\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0madd\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/home/users/menonsqr/anaconda2/lib/python2.7/site-packages/distributed/deploy/local.pyc\u001b[0m in \u001b[0;36mstart\u001b[0;34m(self, **kwargs)\u001b[0m\n\u001b[1;32m    167\u001b[0m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_started\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_start\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    168\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 169\u001b[0;31m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msync\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_start\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    170\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    171\u001b[0m     \u001b[0;34m@\u001b[0m\u001b[0mgen\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcoroutine\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/home/users/menonsqr/anaconda2/lib/python2.7/site-packages/distributed/deploy/local.pyc\u001b[0m in \u001b[0;36msync\u001b[0;34m(self, func, *args, **kwargs)\u001b[0m\n\u001b[1;32m    160\u001b[0m             \u001b[0;32mreturn\u001b[0m \u001b[0mfuture\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    161\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 162\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0msync\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mloop\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfunc\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    163\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    164\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mstart\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/home/users/menonsqr/anaconda2/lib/python2.7/site-packages/distributed/utils.pyc\u001b[0m in \u001b[0;36msync\u001b[0;34m(loop, func, *args, **kwargs)\u001b[0m\n\u001b[1;32m    275\u001b[0m             \u001b[0me\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mwait\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m10\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    276\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0merror\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[0m\n\u001b[0;32m--> 277\u001b[0;31m         \u001b[0msix\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mreraise\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0merror\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[0m\n\u001b[0m\u001b[1;32m    278\u001b[0m     \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    279\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mresult\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/home/users/menonsqr/anaconda2/lib/python2.7/site-packages/distributed/utils.pyc\u001b[0m in \u001b[0;36mf\u001b[0;34m()\u001b[0m\n\u001b[1;32m    260\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0mtimeout\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    261\u001b[0m                 \u001b[0mfuture\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mgen\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mwith_timeout\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtimedelta\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mseconds\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mtimeout\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfuture\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 262\u001b[0;31m             \u001b[0mresult\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32myield\u001b[0m \u001b[0mfuture\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    263\u001b[0m         \u001b[0;32mexcept\u001b[0m \u001b[0mException\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mexc\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    264\u001b[0m             \u001b[0merror\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0msys\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mexc_info\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/home/users/menonsqr/anaconda2/lib/python2.7/site-packages/tornado/gen.pyc\u001b[0m in \u001b[0;36mrun\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m   1131\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1132\u001b[0m                     \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1133\u001b[0;31m                         \u001b[0mvalue\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mfuture\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mresult\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1134\u001b[0m                     \u001b[0;32mexcept\u001b[0m \u001b[0mException\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1135\u001b[0m                         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mhad_exception\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mTrue\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/home/users/menonsqr/anaconda2/lib/python2.7/site-packages/tornado/concurrent.pyc\u001b[0m in \u001b[0;36mresult\u001b[0;34m(self, timeout)\u001b[0m\n\u001b[1;32m    259\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_exc_info\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    260\u001b[0m             \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 261\u001b[0;31m                 \u001b[0mraise_exc_info\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_exc_info\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    262\u001b[0m             \u001b[0;32mfinally\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    263\u001b[0m                 \u001b[0mself\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mNone\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/home/users/menonsqr/anaconda2/lib/python2.7/site-packages/tornado/gen.pyc\u001b[0m in \u001b[0;36mrun\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m   1139\u001b[0m                     \u001b[0;32mif\u001b[0m \u001b[0mexc_info\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1140\u001b[0m                         \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1141\u001b[0;31m                             \u001b[0myielded\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mgen\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mthrow\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0mexc_info\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1142\u001b[0m                         \u001b[0;32mfinally\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1143\u001b[0m                             \u001b[0;31m# Break up a reference to itself\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/home/users/menonsqr/anaconda2/lib/python2.7/site-packages/distributed/deploy/local.pyc\u001b[0m in \u001b[0;36m_start\u001b[0;34m(self, ip, n_workers)\u001b[0m\n\u001b[1;32m    187\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mscheduler\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstart\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mscheduler_address\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    188\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 189\u001b[0;31m         \u001b[0;32myield\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_start_worker\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m**\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mworker_kwargs\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[0mn_workers\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    190\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    191\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstatus\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m'running'\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/home/users/menonsqr/anaconda2/lib/python2.7/site-packages/tornado/gen.pyc\u001b[0m in \u001b[0;36mrun\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m   1131\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1132\u001b[0m                     \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1133\u001b[0;31m                         \u001b[0mvalue\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mfuture\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mresult\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1134\u001b[0m                     \u001b[0;32mexcept\u001b[0m \u001b[0mException\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1135\u001b[0m                         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mhad_exception\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mTrue\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/home/users/menonsqr/anaconda2/lib/python2.7/site-packages/tornado/concurrent.pyc\u001b[0m in \u001b[0;36mresult\u001b[0;34m(self, timeout)\u001b[0m\n\u001b[1;32m    259\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_exc_info\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    260\u001b[0m             \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 261\u001b[0;31m                 \u001b[0mraise_exc_info\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_exc_info\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    262\u001b[0m             \u001b[0;32mfinally\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    263\u001b[0m                 \u001b[0mself\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mNone\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/home/users/menonsqr/anaconda2/lib/python2.7/site-packages/tornado/gen.pyc\u001b[0m in \u001b[0;36mcallback\u001b[0;34m(f)\u001b[0m\n\u001b[1;32m    881\u001b[0m             \u001b[0;32mfor\u001b[0m \u001b[0mf\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mchildren\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    882\u001b[0m                 \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 883\u001b[0;31m                     \u001b[0mresult_list\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mf\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mresult\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    884\u001b[0m                 \u001b[0;32mexcept\u001b[0m \u001b[0mException\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    885\u001b[0m                     \u001b[0;32mif\u001b[0m \u001b[0mfuture\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdone\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/home/users/menonsqr/anaconda2/lib/python2.7/site-packages/tornado/concurrent.pyc\u001b[0m in \u001b[0;36mresult\u001b[0;34m(self, timeout)\u001b[0m\n\u001b[1;32m    259\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_exc_info\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    260\u001b[0m             \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 261\u001b[0;31m                 \u001b[0mraise_exc_info\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_exc_info\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    262\u001b[0m             \u001b[0;32mfinally\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    263\u001b[0m                 \u001b[0mself\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mNone\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/home/users/menonsqr/anaconda2/lib/python2.7/site-packages/tornado/gen.pyc\u001b[0m in \u001b[0;36mrun\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m   1145\u001b[0m                             \u001b[0mexc_info\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mNone\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1146\u001b[0m                     \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1147\u001b[0;31m                         \u001b[0myielded\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mgen\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mvalue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1148\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1149\u001b[0m                     \u001b[0;32mif\u001b[0m \u001b[0mstack_context\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_state\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcontexts\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0morig_stack_contexts\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/home/users/menonsqr/anaconda2/lib/python2.7/site-packages/distributed/deploy/local.pyc\u001b[0m in \u001b[0;36m_start_worker\u001b[0;34m(self, death_timeout, **kwargs)\u001b[0m\n\u001b[1;32m    213\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mw\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstatus\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;34m'closed'\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mscheduler\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstatus\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;34m'running'\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    214\u001b[0m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mworkers\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mremove\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mw\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 215\u001b[0;31m             \u001b[0;32mraise\u001b[0m \u001b[0mgen\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mTimeoutError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"Worker failed to start\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    216\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    217\u001b[0m         \u001b[0;32mraise\u001b[0m \u001b[0mgen\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mReturn\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mw\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mTimeoutError\u001b[0m: Worker failed to start"
     ]
    }
   ],
   "source": [
    "from distributed import Client, LocalCluster\n",
    "\n",
    "cluster = LocalCluster()\n",
    "client = Client(cluster)\n",
    "client"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Client is now a local cluster - it has 8 workers which are the individual cores of the computer"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "def wrapper_function(delayed_traj):\n",
    "    nucs = []\n",
    "    for i in range(len(delayed_traj)):\n",
    "        nucs.append(delayed_traj[i].compute())\n",
    "    return nucs"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The above function is just used to wrap the delayed object calculation - this is required in order to submit the jobs to local cluster."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "del_traj = calculate_nuctraj('traj.light',500)\n",
    "jobs = client.submit(wrapper_function,del_traj)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<b>Future: wrapper_function</b> <font color=\"gray\">status: </font><font color=\"black\">finished</font>, <font color=\"gray\">type: </font>list, <font color=\"gray\">key: </font>wrapper_function-0303ade79a48f63032d26c2d36825d32"
      ],
      "text/plain": [
       "<Future: status: finished, type: list, key: wrapper_function-0303ade79a48f63032d26c2d36825d32>"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "jobs"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "jobs is Future function - it is not run yet, but scheduled in different clusters available in the system. Nothing is run yet - but everything is planned. A delayed object on future function."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "100 loops, best of 3: 10.9 ms per loop\n"
     ]
    }
   ],
   "source": [
    "%%timeit\n",
    "jj = jobs.result()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "results function calculated the results now - this ran really fast! of course, because it ran in parallel."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Compared to the **10.3 ms** used by the dask code, our python parallel implementation with the same cores took **450 ms**! "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "del_traj = calculate_nuctraj('traj.long',500)\n",
    "jobs = client.submit(wrapper_function,del_traj)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "100 loops, best of 3: 12.1 ms per loop\n"
     ]
    }
   ],
   "source": [
    "%%timeit\n",
    "jj = jobs.result()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### On testing with the longer trajectory, dask took 10.1ms whereas the python implementation took 12 s!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x7f4a5c418410>"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f4a9c2579d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "objects = ('python mp - traj1', 'dask cluster - traj 1', 'python mp - traj2', 'dask cluster - traj 2')\n",
    "y_pos = np.arange(len(objects))\n",
    "performance = [10,450,12,1200]\n",
    " \n",
    "plt.bar(y_pos, performance, align='center', alpha=0.5,color='#880E4F')\n",
    "plt.xticks(y_pos, objects)\n",
    "plt.ylabel('Time (ms - traj1) (s- traj 2)')\n",
    "plt.title('Performance for traj 1')"
   ]
  }
 ],
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