{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Processing and Scaling\n",
    "\n",
    "This is a rendered copy of [processing.ipynb](https://github.com/scikit-hep/coffea/blob/master/binder/processing.ipynb). You can optionally run it interactively on [binder at this link](https://mybinder.org/v2/gh/coffeateam/coffea/master?filepath=binder%2Fprocessing.ipynb)\n",
    "\n",
    "Coffea relies mainly on [uproot](https://github.com/scikit-hep/uproot) to provide access to ROOT files for analysis.\n",
    "As a usual analysis will involve processing tens to thousands of files, totalling gigabytes to terabytes of data, there is a certain amount of work to be done to build a parallelized framework to process the data in a reasonable amount of time. \n",
    "\n",
    "Since the beginning a `coffea.processor` module was provided to encapsulate the core functionality of the analysis, which could be run locally or distributed via a number of Executors. This allowed users to worry just about the actual analysis code and not about how to implement efficient parallelization, assuming that the parallization is a trivial map-reduce operation (e.g. filling histograms and adding them together). This API ceased to exist for some time but we brought it back.\n",
    "\n",
    "In coffa 202x (CalVer), you also have the option of deeper integration with `dask` (via `dask_awkward` and `uproot.dask`), and whether an analysis is to be executed on local or distributed resources, a TaskGraph encapsulating the analysis is created in this case. We will demonstrate how to use callable code to build these TGs.\n",
    "\n",
    "We'll always be showcasing both ways of using coffea to write and execute your analyis\n",
    "\n",
    "Let's start by writing a simple processor class that reads some CMS open data and plots a dimuon mass spectrum.\n",
    "We'll start by copying the [ProcessorABC](https://coffea-hep.readthedocs.io/en/latest/api/coffea.processor.ProcessorABC.html#coffea.processor.ProcessorABC) skeleton and filling in some details:\n",
    "\n",
    " * Remove `flag`, as we won't use it\n",
    " * Adding a new histogram for $m_{\\mu \\mu}$\n",
    " * Building a [Candidate](https://coffea-hep.readthedocs.io/en/latest/api/coffea.nanoevents.methods.candidate.PtEtaPhiMCandidate.html#coffea.nanoevents.methods.candidate.PtEtaPhiMCandidate) record for muons, since we will read it with `BaseSchema` interpretation (the files used here could be read with `NanoAODSchema` but we want to show how to build vector objects from other TTree formats) \n",
    " * Calculating the dimuon invariant mass"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## File access\n",
    "\n",
    "In the examples below, we will be using local copies of the files for speed but I have also left the eospublic xrtood urls for them in comments"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Coffea Processors"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "import awkward as ak\n",
    "import dask_awkward as dak\n",
    "from coffea import processor\n",
    "from coffea.nanoevents.methods import candidate\n",
    "import hist\n",
    "import hist.dask\n",
    "import dask\n",
    "\n",
    "\n",
    "class MyProcessor(processor.ProcessorABC):\n",
    "    def __init__(self, mode=\"virtual\"):\n",
    "        assert mode in [\"eager\", \"virtual\", \"dask\"]\n",
    "        self._mode = mode\n",
    "\n",
    "    def process(self, events):\n",
    "        dataset = events.metadata[\"dataset\"]\n",
    "        muons = ak.zip(\n",
    "            {\n",
    "                \"pt\": events.Muon_pt,\n",
    "                \"eta\": events.Muon_eta,\n",
    "                \"phi\": events.Muon_phi,\n",
    "                \"mass\": events.Muon_mass,\n",
    "                \"charge\": events.Muon_charge,\n",
    "            },\n",
    "            with_name=\"PtEtaPhiMCandidate\",\n",
    "            behavior=candidate.behavior,\n",
    "        )\n",
    "\n",
    "        if self._mode == \"dask\":\n",
    "            hist_class = hist.dask.Hist\n",
    "        else:\n",
    "            hist_class = hist.Hist\n",
    "        h_mass = hist_class.new.StrCat([\"opposite\", \"same\"], name=\"sign\").Log(1000, 0.2, 200.0, name=\"mass\", label=r\"$m_{\\mu\\mu}$ [GeV]\").Int64()\n",
    "\n",
    "        cut = (ak.num(muons) == 2) & (ak.sum(muons.charge, axis=1) == 0)\n",
    "        # add first and second muon in every event together\n",
    "        dimuon = muons[cut][:, 0] + muons[cut][:, 1]\n",
    "        h_mass.fill(sign=\"opposite\", mass=dimuon.mass)\n",
    "\n",
    "        cut = (ak.num(muons) == 2) & (ak.sum(muons.charge, axis=1) != 0)\n",
    "        dimuon = muons[cut][:, 0] + muons[cut][:, 1]\n",
    "        h_mass.fill(sign=\"same\", mass=dimuon.mass)\n",
    "\n",
    "        if self._mode == \"dask\":\n",
    "            return {\n",
    "                \"entries\": ak.num(events, axis=0),\n",
    "                \"mass\": h_mass,\n",
    "            }\n",
    "        else:\n",
    "            return {\n",
    "                dataset: {\n",
    "                    \"entries\": len(events),\n",
    "                    \"mass\": h_mass,\n",
    "                }\n",
    "            }\n",
    "\n",
    "    def postprocess(self, accumulator):\n",
    "        pass"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "If we were to just use bare uproot to execute this processor, we could do that with the following example, which:\n",
    "\n",
    " * Opens a CMS open data file\n",
    " * Creates a NanoEvents object using `BaseSchema` (roughly equivalent to the output of reading with plain `uproot`)\n",
    " * Creates a `MyProcessor` instance\n",
    " * Runs the `process()` function, which returns our accumulators"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "from coffea.nanoevents import NanoEventsFactory, BaseSchema\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# filename = \"root://eospublic.cern.ch//eos/root-eos/cms_opendata_2012_nanoaod/Run2012B_DoubleMuParked.root\"\n",
    "filename = \"/Users/iason/work/pyhep_dev/uscms-idap-training/coffea/Run2012B_DoubleMuParked.root\"\n",
    "access_log = []\n",
    "events = NanoEventsFactory.from_root(\n",
    "    {filename: \"Events\"},\n",
    "    entry_stop=500_000,\n",
    "    metadata={\"dataset\": \"DoubleMuon\"},\n",
    "    schemaclass=BaseSchema,\n",
    "    mode=\"virtual\",\n",
    "    access_log=access_log,\n",
    ").events()\n",
    "p = MyProcessor(\"virtual\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 178 ms, sys: 31.6 ms, total: 210 ms\n",
      "Wall time: 280 ms\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "{'DoubleMuon': {'entries': 500000,\n",
       "  'mass': Hist(\n",
       "    StrCategory(['opposite', 'same'], name='sign'),\n",
       "    Regular(1000, 0.2, 200, transform=log, name='mass', label='$m_{\\\\mu\\\\mu}$ [GeV]'),\n",
       "    storage=Int64()) # Sum: 245435.0 (245753.0 with flow)}}"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%time\n",
    "out = p.process(events)\n",
    "out"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'Muon_charge', 'Muon_eta', 'Muon_mass', 'Muon_phi', 'Muon_pt'}"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "set(access_log)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "out[\"DoubleMuon\"][\"mass\"].plot1d(ax=ax)\n",
    "ax.set_xscale(\"log\")\n",
    "ax.legend(title=\"Dimuon charge\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'entries': dask.awkward<num, type=Scalar, dtype=int64, known_value=500000>,\n",
       " 'mass': Hist(\n",
       "   StrCategory(['opposite', 'same'], name='sign'),\n",
       "   Regular(1000, 0.2, 200, transform=log, name='mass', label='$m_{\\\\mu\\\\mu}$ [GeV]'),\n",
       "   storage=Int64()) # (has staged fills)}"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# filename = \"root://eospublic.cern.ch//eos/root-eos/cms_opendata_2012_nanoaod/Run2012B_DoubleMuParked.root\"\n",
    "filename = \"/Users/iason/work/pyhep_dev/uscms-idap-training/coffea/Run2012B_DoubleMuParked.root\"\n",
    "events = NanoEventsFactory.from_root(\n",
    "    {filename: {\"object_path\": \"Events\", \"steps\": [[0, 500_000]]}},\n",
    "    metadata={\"dataset\": \"DoubleMuon\"},\n",
    "    schemaclass=BaseSchema,\n",
    "    mode=\"dask\",\n",
    ").events()\n",
    "p = MyProcessor(\"dask\")\n",
    "taskgraph = p.process(events)\n",
    "taskgraph"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dask.visualize(taskgraph, rankdir=\"LR\", optimize_graph=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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p09XVxfz583H16lVoaGigbdu28ml2iEi8iIgIuLm5wcHBAUePHmUBqAaaNWuGqKgopKSkoHPnznj06JHoSFSBqVwRmJycjJ49e2L69On4+uuvERERgcaNG4uOVaF98skniIqKgo+PDyZNmoS+ffsiJSVFdCwitZZ7WrB79+749ddfoa+vLzoSKYmlpSVOnz6NnJwcdOnSBY8fPxYdiSoolTodfOXKFfTv3x8AsG/fPs6bJMCZM2cwfPhw6OvrIzAwEC1bthQdiUjtREZGwt3dHZ9//jn8/PzK1RrnVHqePHmCzz77DNra2ggPD+ek/1TqVKYncMeOHfj0009hbW2Ny5cvswAUxMnJCVeuXEGdOnXQqVMn7NmzR3QkIrUSExOD3r17w8XFBb/88gsLQDVWs2ZNhIWFISMjAy4uLjxDQ6VOeBEoSRIWLVqEcePGYfz48QgODubRjmDm5uY4efIkpkyZAi8vL/j4+EAmk4mORVThXbt2DV27doW9vT3279/P66AJderUQVhYGJ4/f45evXrh7du3oiNRBSL0dHBmZiZGjRqFoKAgbN++HSNGjBAVhQrBuauIlOPx48ewt7dH/fr1ERoays8a5XHjxg18+umn6NKlCw4cOABNTeF9OFQBCCsCX758iR49euD27dv49ddf4ejoKCIGKeDkyZPo378/bG1tcfToUa5RSlTKMjIy4OzsjOTkZJw7dw5mZmaiI5EKOnv2LFxcXDBlyhSsWLFCdByqAIQUgU+fPoWrqytSU1MRGhqKJk2aKDsCFdO1a9fg5uYGc3NzhIaG8pQ9USnJyclB3759cf78eZw7dw4NGzYUHYlUmL+/P0aMGIH169dj0qRJouNQOaf0/uTHjx+ja9euePPmDU6fPs0CsJzInbvq9evX6Ny5M5KSkkRHIqoQ5s2bhxMnTuDIkSMsAOmDhg0bhsWLF8PHxwfh4eGi41A5p9SewKSkJDg5OUFfXx8nTpxArVq1lLVrKiUPHz6Ei4sLcnJycObMGf4NiUrgyJEj6Nu3L7Zu3YqxY8eKjkPlhCRJGDx4MM6cOSOfzYHoYyitCHz27BmcnJygqamJ8PBwXvNSjj19+hROTk7Q0dHB6dOneWqY6CPcvn0b7du3x9ChQ7Fx40bRcaicSUtLQ4cOHVClShWcOXMGenp6oiNROaSUIjA1NRXOzs5ITU1FREQEateuXda7pDL28OFDODo6olq1ajh16hSqV68uOhJRuZGRkQE7Ozt+gVOJ3Lx5E+3bt8eoUaOwbt060XGoHCrzawLfvXuHnj17Ijk5GSdPnmQBWEH8e+6q/v37IysrS3QkonJj1qxZePz4MQ4cOMACkD6ajY0NNm/ejPXr1+P48eOi41A5VKY9gZIkwcvLC0ePHkVkZCRatGhRVrsiQa5duwYHBwd4eHjA398fGhoaoiMRqbSQkBB0794de/fuxdChQ0XHoQrAy8sLISEhiIuLQ82aNUXHoXKkTIvAb775BqtXr8bvv/8OZ2fnstoNCRYSEoJevXph7ty5WLRokeg4RCrr6dOnsLW1hbu7O/z8/ETHoQri9evXaN26NWxsbHDs2DEejJPCyqwIzJ3LaOfOnRg5cmRZ7IJUyJYtWzBx4kQcPHgQ/fv3Fx2HSCX1798fV69eRUxMDKpWrSo6DlUg0dHRcHR0xObNmznSnBRWJkVgfHw8OnbsiPHjx2P16tWl/fCkor744gvs2bMH58+fR7NmzUTHIVIpgYGBGDBgAEJDQ+Hq6io6DlVAM2bMwI4dO3Dt2jVYWFiIjkPlQKkXga9evYKdnR1q166NsLAw6OjolObDkwrLysqCk5MTUlNTceHCBVSpUkV0JCKVkJqaimbNmsHV1RU7duwQHYcqqIyMDLRo0QJt27bFgQMHRMehcqDURwePHz8eGRkZ2L9/PwtANaOrq4uDBw/ixYsX+PLLL0XHIVIZX331FXJycrBy5UrRUagCMzAwwIYNG3Dw4EEcPXpUdBwqB0q1J3Dnzp0YN24cQkND0a1bt9J6WCpnQkND4eHhgT179mDYsGGi4xAJdfnyZXTo0AF79+7FkCFDRMchNTB8+HCcP38e165dg76+vug4pMJKrQi8e/cuWrdujfHjx2PFihWl8ZBUjk2ZMgW7d+9GTEwMLC0tRcchEsbR0RE5OTmIjIzkqE1SiqSkJDRp0gTz5s2Dr6+v6DikwkqlCJTJZHByckJaWhrOnz/PyU8Jb9++hZ2dHczNzREWFsYvP1JLAQEB8l4ZOzs70XFIjSxevBgrVqzA7du3ucY7FapUisCff/4Z06ZNw4ULF9CmTZvSyEUVwKVLl9CxY0ds2bIFY8aMER2HSKnevXsHGxsbODs7czAIKd3bt29hY2ODbt26Yfv27aLjkIoq8cCQR48eYd68eZg1axYLQMrDzs4OU6dOxYwZM/Do0SPRcYiUasuWLXj27BmWLFkiOgqpoUqVKmHJkiXYtWsXbt++LToOqagS9wR+/vnnuHHjBmJiYlCpUqXSykUVRHp6Opo3b46OHTvC399fdBwipXj79i0aNWqEIUOGYNWqVaLjkJrKyclBixYt0Lp1a+zdu1d0HFJBJeoJDAsLw5EjR7B+/XoWgFSgypUrY926dQgICEBkZKToOERKsX79eqSmpuLrr78WHYXUmJaWFhYuXIiAgADExcWJjkMq6KN7AnNyctC6dWtYWVnhyJEjpZ2LKhh3d3c8e/YMly9fhqZmqU9PSaQy0tPTYWlpiXHjxuG7774THYfUnEwmQ+vWrdGkSRNOIE35fPS38ZYtW3Dr1i1OfkoKWbVqFeLj4+Hn5yc6ClGZ+uWXX5Ceno6ZM2eKjkIETU1NzJ07F0FBQbhz547oOKRiPqonMCMjAw0bNsTQoUO5NjApbNKkSTh27BgSEhI4jRBVSDKZDE2aNIGLiws2bNggOg4RgH/O3DVp0gQeHh746aefRMchFfJRPYE///wz3rx5w0koqVjmz5+P5ORkbN26VXQUojJx+PBh3LlzB1OnThUdhUhOS0sLU6ZMwY4dO/DixQvRcUiFFLsnMC0tDQ0bNsTYsWOxbNmysspFFdT06dOxf/9+/PXXXzAwMBAdh6hUOTo6wtjYGIcPHxYdhSiPtLQ01KtXD7NmzcI333wjOg6piGL3BP7888949+4dr3ehj+Lr64vU1FT2BlKFc+3aNZw9exZTpkwRHYUoH0NDQ4wZMwZbt26FTCYTHYdURLGKwPfv32P9+vWYMGECTExMyioTVWDm5uYYO3Ys1qxZg+zsbNFxiErN1q1b0aBBA3Tp0kV0FKICeXt7IzExESdPnhQdhVREsYpAf39/PH36FJMnTy6rPKQGpk+fjqSkJAQGBoqOQlQq3r17h927d8Pb25tTIJHKatKkCRwcHHgmhuSKdU1gq1at0Lx5c+zZs6csM5EaGDRoEBITE3Hx4kXRUYhKbO/evRg9ejTu37+PmjVrio5DVKhdu3bB29sbDx8+hJmZmeg4JJjCh6yRkZGIjY3F9OnTyzIPqYlp06bh0qVLuHTpkugoRCXm7+8Pd3d3FoCk8gYMGABdXV0cOnRIdBRSAQoXgVu3bkXbtm3Rtm3bssxDaqJTp05o2bIltm3bJjoKUYmkpKQgLCwMgwcPFh2F6IMMDAzQs2dPrh5CABQsAl+9eoVDhw7B29u7rPOQGhk9ejT8/f3x5s0b0VGIPlpQUBA0NTXRq1cv0VGIFDJo0CBERETg0aNHoqOQYAoVgXv37oWmpiaGDh1a1nlIjXh6eiI7OxsHDx4UHYXoo+3fvx/du3dH1apVRUchUoiHhwcMDQ05OI8UKwL37duHvn37spGjUmVsbIwePXogICBAdBSij/L69WuEh4ejX79+oqMQKUxfXx89evTAkSNHREchwT5YBD58+BDnzp3DwIEDlZGH1MygQYNw6tQpPHv2THQUomILCwuDTCaDu7u76ChExeLh4YGzZ8/ychw1p/2hDQ4cOICqVavC1dVVGXlIzfTs2RP6+voICgrCxIkTRccpMUmSeHpbAQ4ODrCwsBAdo8R+//132NnZcfJ8Knfc3d2RnZ2N06dPo3fv3qLjlNiVK1dw584d0TFUmrm5OZycnPLc9sF5Ajt37owGDRrAz8+vTMOR+ho8eDBevnyJEydOiI5SYtnZ2dDR0REdQ+UFBgZWiFOo9evXx9ixY7FgwQLRUYiKzc7ODnZ2dtiwYYPoKCU2YcIEbNmyRXQMlebs7JxvtZgiTwenpKTg/Pnz6NmzZ5kGI/XWo0cPREREIC0tTXSUUhMYGAhJkvjzn5/379+L/tOUmhs3buD+/ftwc3MTHYXoo3h4eOB///uf6BilxtnZWXgbp6o/48ePL/A1K7IIPHHiBCRJQteuXcvkD0YE/NMQZWdnIzw8XHQUIoWdPXsWlStX5typVG45Ojrizp07SEpKEh2FBCmyCAwJCUHHjh1hbGysrDykhszMzNCqVSuEhISIjkKksOjoaNjb20Nb+4OXVhOppI4dO0JbWxvnzp0THYUEKbIIPHnyJAeEkFK4ubkhLCxMdAwihUVHR6NTp06iYxB9tMqVK8PW1hZRUVGio5AghRaBSUlJuH//Pjp37qzMPKSmOnfujNu3b3OqGCoXnj9/jr/++gsdO3YUHYWoRBwcHFgEqrFCi8CzZ89CR0cH7du3V2YeUlMODg7Q1NREdHS06ChEH3T16lVIkgQ7OzvRUYhKxM7ODnFxccjOzhYdhQQotAiMiopCq1atYGBgoMw8pKaqVq2KZs2a8YiUyoWYmBhYWFjA1NRUdBSiErG1tUVmZiZu3bolOgoJUGgReOXKFXTo0EGZWUjN2dvb49KlS6JjEH1QfHw8bG1tRccgKjEbGxvo6OggPj5edBQSoMAiUCaTIT4+Hi1btlR2HlJjtra2iI2NhSQVOX85kXBxcXEsAqlC0NPTg7W1NYtANVVgEXj37l2kpaWxkSOlatGiBV69eoWHDx+KjkJUKJlMhlu3bqFp06aioxCViubNm+PatWuiY5AABRaBcXFx0NTUZCNHSmVrawsNDQ0ekZJKS0pKQmZmJho2bCg6ClGpaNCgAe7duyc6BglQYBF4+/Zt1KtXD4aGhsrOQ2rMyMgINWvW5AXKpNISExMBAJaWlkJzEJUWS0tLFoFqqsAi8N69e7CyslJ2FiJYWlrKv2SJVNG9e/egp6eHWrVqiY5CVCqsrKzw5s0bvHjxQnQUUrICi8DExEQe5ZIQVlZWPCIllfb333+jXr160NQscsElonIjt9OHba/6YRFIKoU9gaTqHj9+DAsLC9ExiEpN7vv50aNHgpOQshVYBCYlJaFOnTrKzkKEunXrcnQwqbTnz5/DzMxMdAyiUlOpUiVUrlyZp4PVUL4i8O3bt0hPT2cjR0KYmpri1atXXMKIVNaLFy9gYmIiOgZRqTIxMWERqIbyFYG5bwIRyyEFBARg9+7dH9zuyJEjOHDggBISla0tW7YgODj4g9sFBwcjICCgTDIEBgYqlEFZTE1NIUkSUlJShGWoaKdEZDKZ6AgqQyaT4cmTJyV6jBcvXghfLq6itJVxcXFYu3at0M87/cPU1FRoEfjq1StkZGQI239ZKA9tb74iMDk5GQCEHOmuWrUKy5Yt++B2S5Ysga+vb7EeOzo6GkuWLMHTp08/Nl6pmzNnDnbu3PnB7X744QfMmjWrTDIsWLAAK1euLJPH/hi577vc96EIM2fORP369TF//nxcv35dWI6SuH37Nnx8fGBpaQkTExP07NkTJ0+eFB1LuKysLNSpUwddunTBjh078OrVq2I/RkpKCqpXr14G6RRXUdrKyMhITJs2rcSFOZWciYkJXr58KWz/0dHRMDMzw7Bhw3D8+HG8f/9eWJaSKG9tb74i8PXr1wCAatWqKT2MoiZPnoyvv/66WL9z9uxZzJ8/H48fPy6jVFQajIyMAACpqalCc9y/fx/Lly9Hs2bN0LRpUyxfvhx///230EyKevv2LXr37tISKX4AACAASURBVI0dO3bAzc0NX3zxBRISEtCrVy9ERESIjidcTk4Ozpw5A29vb5iZmaF37944ePAg3r59q9Dvv337FpUqVSrjlKWDbSUpqlKlSgp/BspKRkYGDh48iJ49e8LU1BQTJ05EREREuehRA8pn25uvCMzMzATwz3qCqmrkyJGYOHGi0van6m9ARfJJklQu1uTNfd9lZWUJzaGhoSE/Er1x4wbmzZsHS0tLtGzZEmvXrlXpnou5c+fi1q1bOHDgADZv3oxly5YhIiICVatWxahRo0THUwmSJEEmkyE7OxvBwcEYMmQIjIyMMGDAAPz2229F9kJkZmZCV1dXiWk/nrLbShHKS9um6nR1deXf/yLlXg/++vVr7Ny5E05OTqhZsyZ8fHwQGRkpOF3RymPbm68IzP3yFdnIXbt2DZ6enrCwsECDBg0wbty4PEcoU6dOxejRo+X/fvfuHRYuXIiGDRtCT08PjRs3xoQJE/DmzRsAwPjx47Fp0yYAwJgxYzB16tQPZrhx4wa6d+8OMzMzVK5cGXZ2dggMDMyzjbe3NyZPnoxHjx5h2LBhqF+/Pho2bIgxY8YgPT1d4ecbGhoKBwcHVK5cGZ988gkWL178wYERiuQDgNjYWHTr1g1GRkYwMDBAhw4d8Pvvvxf52IcOHULnzp2xaNEihZ9Dacl936lCY/RvuX+P+Ph4zJw5ExYWFujYsSO2bNki7z1XFb/88gtsbW3h4eEhv83c3Bxubm64d+8eLly4IDCd6snJyYFMJkNWVhaOHj2K3r17w9jYGF5eXggLC8tXYGRlZanMQbKy2sqpU6di7NixePjwIb788ss8AwdfvXqFSZMmoXnz5qhZsyb69etX4HXGly5dwsCBA9GgQQN069YN69evz/faenl5YcSIEfl+9/vvv0fnzp3ztIuKtG2KZitMeHg4vvzyS1hbW6Nu3boYOnQoNm3ahJycnDzbxcXFoV+/frCyskKfPn3g5+eHsLAwDBw4MM91dopuJ4Kenp7wg+//ys3z/PlzbNq0CZ07d0adOnXg6+urkitLlce2V/u/N4guAp8/f44uXbrAyMgIw4cPR0xMDLZv3460tDT54Ihz587l+cBMmjQJu3btgqenJ1q3bo07d+5g69atiI+PR3R0NKytrfHnn38iMTER1tbWaNSoUZEZIiMj4e7uDjMzM0yYMAGVKlXCb7/9hgEDBmDx4sWYP38+ACAmJgbJyck4fPgwrKysMGTIEFy4cAE7d+5EampqgUVZQfs6cuQI+vfvj27duiEsLAwLFy7E9evXCx0Momi+8PBweHh4wMTEBGPHjpVn6t27N86cOYNOnTrle+z9+/djxIgRcHZ2xuzZsz+Yv7Tlvu+io6M/6nqt0vDgwYNC75MkSf4FcPHiRVy8eBFTpkxBjx494OnpCRcXF2XFLFBycjJSUlLyfPHnsra2BgBcvnwZHTp0UHa0PG7duoWDBw8qfb8fus4o9/7c9mb37t0wNzfHyJEjMWzYMLRs2RJZWVkq0ROozLYyLi4OT548QY8ePRAXF4c2bdoAAB4+fIjOnTvj+fPn8PLyQrVq1RAaGopevXph1apVmDZtGoB/2qIePXpAX18f/fr1g6amJubPny+//CPXlStXCjyzkZCQgMjISPl9irRtimYrzOnTp+Hi4oJq1aph2LBhMDU1xYkTJ/DFF1/g7t27+OGHHwAAERER8PDwgIGBAdzd3aGlpYXJkyejTp06uHnzJlavXg0TExOFtxNFV1cX9+/fF/K5BICrV68WeX9ubZKUlIRVq1Zh+fLlaNmyJby8vDB48GBlRCxSeWl785H+4+DBgxIAKScn5793lbl27dpJAKRFixblub19+/ZS9erV82xnZWUlSZIkvXv3TtLR0ZF69+6d53fWrl0rAZBu3bolSZIkff/99xIA6erVq0VmkMlkUps2bSRjY2MpKSlJfntWVpbk7Ows6erqyh8zN+/s2bMlmUwmSZIk5eTkSG3atJGqVav2wedrYmIiAZAOHjwovy07O1vq1q2bBEA6d+6cJEmS5OTkJNWpU6dY+XJycqSWLVtK1apVkxISEuTb3bhxQ9LQ0JCGDx8uSZIkNW3aVOrSpYskSZK0Z88eSUtLS+revbv07t27D+YvC5mZmRIAycLCQgIg7EdDQ6PY2xoaGkpffvmlBEAKDAwU8vpFRkZKAKQVK1bkuy/3s71gwQIByf7x/v17CYBkb28v9O/7MT/W1tZSQECABEA6dOiQsNdQkpTfVjo5OUkAJDc3N+nGjRvy24cPHy4BkM6fPy+/LTMzU94WvXjxQpIkSWrZsqVUvXp16d69e/Ltbt++LRkYGEgApOvXr0uS9E97ZGNjk+/5jhkzRgIgZWZmKty2KZqtMN7e3pKenp6UkpIiv+3t27dSrVq15Blzs1SvXl1KTEyUbxcXFyfp6upKAKT79+8rvJ1I3t7eUsOGDYV/zj6mrXZycpL69+8vOTs7C3v9VL3tHT9+fIGvT77TwTo6OgAgbJ42TU3NfKPZ2rZti5SUlAInEc7tlQkPD89zJDF58mSkpaWhYcOGBe5HJpMhPT09z09OTg7++OMP/PHHH3B2dkbt2rXl2+vo6GDUqFHIysrCiRMn5LdXqlQJixYtgoaGhjy/g4MDUlNT8fDhw0L3k6t169YYMGCA/N9aWloYNGgQABQ4okjRfFevXkVsbCw+//zzPD2fNjY2WLduHdq3b5/ncXft2gUvLy94eHjg119/FXa6K/dob+vWrfJrfZT9M2TIkA/m1NLSgpaWFrS1teHu7g4/Pz88fvwYP/74Y1m/REX666+/AADGxsb57qtfvz4ACOth/bdZs2YJ+dsqeuF7bk+fmZkZpk6dirNnz+LmzZsYPHgwtLS0VOK0mbLayn/79ttvYWNjAwB4+fIl/P39YWdnl6d3Q1dXF97e3sjKykJQUBDOnz+P2NhYTJo0Kc9KVI0bN4anp2exnjMAhdo2RbMV1T7PmDEDly5dytNbmZWVBSMjI/klILlZJkyYIP98AUCLFi3y9E4pup1IWVlZsLGxEdbuHj9+XKGcuTVKo0aNsHDhQiQkJCA8PFz43J3lpe39r3yng3MbP1GnPCwsLPIVILkfwrS0tHzbGxgYYOHChZg3bx7atGmDTz75BF26dEH37t3h5uYGLS2tAvdz4cKFfKdD/f395cWck5NTvt/JPQVy+/Zt+W01atSAvr5+nu1yp49IS0srdD9Dhw4FAHzyySf59uPs7Ayg4HUcExISFMqXO49ZixYt8m03efLkPP+OiYnB6NGjIZPJIEmS0FNdoi9HKIqGhgY0NTUhk8nQtm1bDBs2DMOHD88zZ5zoSa5zPzsFTfWQe52q6OlNVJWOjg6ys7NhYGCAvn37YtCgQfDw8IC2dt5mUldXVyWKQGW1lbnMzMxgZ2cn//etW7cgSRLS0tLyFTK5RdKdO3fkr1+rVq3yPWazZs0UeKZ55X7ZFtW2nTt3TqFsRbXPNjY2ePHiBVatWoVz584hMTERCQkJeP36tfwA/M6dOwCAJk2aFPncFN1OpMzMTJW51vW/dHR08P79e9SuXRsDBgzAqFGj0Lp1a9Gx8iivbW+RRaAIlStXLvQ+qZARYHPnzsWQIUPg5+eH4OBgbNq0CRs2bIC1tTXOnDmDmjVr5vsdU1NTDB8+PM9tlpaWuHLlivz//yt3sMK/G8uipoqQJKnQ/eQq6PqX3Ebzv18+wP+fP+9D+Z4/fw4ACq1xmpKSghEjRkBTUxO7du2Cv78/hg0b9sHfKwu57ztVaoy0tbWRnZ2Nxo0bY8yYMfDy8kKtWrVExypQ7nv97t27+e7LbZy4GtD/p6WlBUmSoKWlBRcXF4waNQp9+vQp8iBEVYpAZbWVuf77mcy91lBPT0/eO5PLxMQEw4cPR7NmzfDs2TMAKLDI/O8BdGH+/cWqSNumaLai2ucVK1ZgwYIF0NPTg5OTE7p164a5c+di1apV8gP03EmuC+qF+vcZH0W3E0mVBjwB//9zVq1aNQwePBienp5wcHCQd9SomvLa9uarMnKLGtHzBSkqKysLGRkZsLS0xOLFi7F48WI8efIES5cuxfr16/HTTz9h6dKl+X6vcePG2LNnT77bc/9YZ8+eRc+ePfPcd+7cOQBAgwYNFM5X2H5y3bx5M99tucPgC9qPlZWVQvlyG7ILFy7kO725a9cuyGQy+ZD1tm3bYteuXXj58iWOHz+OadOmwdXVVciqCLnvO0W/HMpK7pdo48aNMXLkSAwdOrRYf3dRrK2toaGhUWBDFBsbCwCqd2GyINra2nBxccGIESPQp0+fIouqf1PFUZSK+Ni2sjC5n4eC2ricnBy8efMGBgYG8tN8Z86cQd++ffNsl5iYmOffGhoaBR4Y/3skqCJtW+7lLh/KpqurW2D7/Pz5c/j6+sLMzAwJCQmoUqWK/L5/v0a5WaKiotCrV688j/HvU+6KbidSZmZmnucpUpUqVTBw4EAMHz4cTk5OH+ylVgXlte3Nd01g7vlskTOHF8epU6dQvXp17Nu3T35bzZo15StsFHc5otatW0NXVzfPdX+5wsPDoaWlBTc3t5KF/pfr16/nW5Xi9OnT0NDQyDPMvLj57OzsUKlSJZw6dSrf/kaNGoUzZ87Ib6tatSo0NDRgYmKCFStW4Pnz5/Dx8SmlZ1g8uUfwIq/vqFu3LmbPno3Y2Fjcvn0bc+fOLRcFIADUrl0bjo6OiIiIkJ+CAv4Z9erv7w8LCwu0bdtWYEKxNDQ04OTkhM2bN+Pp06cIDg7GsGHDFC4AAcDQ0LDA062qrrTbykaNGsHMzAyhoaH5Rl1/9913qF69Oi5evIh27dpBR0cnX1uUnZ0Nf3//PLdZWloiMTExz+Ndu3ZNfgoYgEJtm6LZCvP3339DJpOhX79+eQqjBw8eICYmRv7v5s2bQ1tbO197fPfuXYSFhRV7O5HS0tJgaGgobP/6+voYPHgwDh8+jOfPn2P79u1wdnYuFwUgUI7b3v+OFHn+/LkEQDp16lS+USRlrV27dgWODPvmm2/yjCD794i3169fSzVq1JAaN24snT59Wnr16pV0+fJlqW/fvhIA6dixY5IkSdK+ffskANIXX3whXbx4scgcM2bMkG8bHx8v3bx5U1qwYIEEQBo5cuQH8+Zum5u3MCYmJpKenp5kbW0t+fn5SZcuXZIWL14saWhoSAMGDJBv9+/RwcXJl/u6TZgwQbp06ZLk5+cn2draSjo6OvIRc/8eHSxJ/4w+7ty5swRAOn78eJH5y8Lvv/8uAZBev36t9H2XhtzRr6JGB0uSJIWGhkra2tpSmzZtpMDAQOnUqVOSm5ubpKmpKQUHBwvLJUmq8fqUVPv27aWvvvpKaAZlt5X/bYNybdu2TQIgDRo0SLpy5YqUkJAgrVy5UtLT05NcXFzksyZMmzZNAiCNGTNGunLlivTHH39Iffr0kapXr54n7+LFiyUA0rBhw6TTp09LW7dulRo1aiSZmprKRwf/+3kW1bYpmq0gr1+/lgwNDSVjY2Pp6NGj0u3bt6WdO3dKderUkapXry5VrVpVunnzpiRJkjRz5kx52xscHCytXbtWsra2loyMjPKM+lV0O1GaNm0qLVy4UGiGkihs9KsyqXLbW9jrk68IzM7OljQ1NaUDBw4oJdi/fUzDJkmSdOLECal27dp5ho3r6+tLS5culW+TnJwsn5bis88+KzJHZmam5OPjk28o+sSJE+WNUFF5i1MEent7S56enpK2trZ8PwMHDpQyMjLk2/23AVY0X3Z2tuTr6ytpaWnJt6lVq1aev+1/i0BJkqRr165JOjo6Ut26dZVejO3evVvS1dUtsoFWZapS5Ozbt0+qXLmy/O9uZGQk/fjjj0IzSZLqvD4l4eHhIY0ePVpoBmW3lYUVgZIkSevWrZP09fXlj6etrS1NnDgxzxQs7969k7y9vfPst2vXrtLu3bvz5E1PT5c8PDzk21hYWEi+vr6Sr69vniJQkbZN0WyFOXDggGRoaCj/XWNjY8nPz086dOiQVLlyZUlbW1uSpH/e099++618yi8TExNp6tSp8u+BV69eFWs7UczNzaV169YJzVASqlAESpLqtr2FvT4akpT/CmJTU1MsXrwYkyZNUrRDUbiMjAzExcXh/v37MDU1RfPmzVGjRo182z169AhVqlRR6NqHZ8+eISYmBnp6erC1tS3TkT2pqamIiYlB06ZNFb54VNF86enpiIuLQ9WqVdG4cWOVHHmb68cff8QPP/yAR48eiY7yUbKzs6Gjo4PAwED069dPeJbLly9DJpOhQ4cOKnFaRZVen4/l6emJ1NRUHD16VHSUj1IWbeWbN29w9epVpKWloUWLFqhbt26B2z148ADx8fH45JNP5Nc3F+T58+dISkpCy5YtixwIoEjbpmi2grx48QJXr15FrVq10LRpU3mWFy9eICUlJd/CAykpKfJ2eMqUKTh27FiBszwoup2ySJIEPT09+Pn5yWeuKG8mTJiAv/76q8Cp1ZRNFdvewl6f/MNPAdSrVw9///23UoKVFgMDA9jb28Pe3r7I7f49t96H1KhRA66uriWNppBq1aoVOO1LURTNV7lyZXTs2PFjoylVYmJinnm06ONpa2t/8PNAxWdqaprnGrXypizayipVqsDR0fGD29WtW1ehIszMzEyhg2FF2jZFsxXExMQE3bp1K/B2ExMTvH37Fs7OzrC3t8eaNWvkhV16ejpCQ0Pl0+Ioup0oqampeP/+vfC59iqK8tT2FlgE5l6cS6Rs9+7dK7KHgEi0OnXqFLm0IKmPSpUqwdjYGD/99BNSU1PRs2dPpKSkYOfOnUhKSsK2bduKtZ0ouZ0+9erVE5qDlC/f6GDgn2lIRHZNk/pKTEwscA5EIlVhaWmJR48e4d27d6KjkArw9/fHzJkzERMTgwEDBmDatGnQ0tLCb7/9lqcHUtHtRLh37x40NDRYBKqhAnsCrays4Ofnp+wspOYkSWJPIKk8KysrSJKE+/fvyxeGJ/VVrVo1LF++HMuXL0dqaiqqVKkCTc38/SuKbifCvXv3YG5uDgMDA9FRSMkKfAc2a9YML168KLcX51P5lJiYiDdv3qB58+aioxAVKrenmpfM0H9Vq1ZNocJO0e2UhQff6qvAd2HLli0BAHFxcUoNQ+otLi4OGhoaKrOWJlFBjI2NYWxsnGcNcaLyLCEhId9IZ1IPBRaBxsbGsLCwQHx8vLLzkBqLj4+HlZUVqlatKjoKUZFatGjBg2SqMOLi4tCiRQvRMUiAQvujbW1t8yyPQ1TWYmNj2RBRuWBra8uDZKoQXr58iUePHsHW1lZ0FBKg0CKwY8eOiI6OVmYWUnNRUVHo1KmT6BhEH9SiRQvEx8dDJpOJjkJUIrk92jwAV0+FFoGdOnVCYmIiHj58qMw8pKbu3LmDx48f49NPPxUdheiDbG1tkZ6ejrt374qOQlQi8fHxMDY2Ltbk4FRxFFoE2tvbQ1tbG+fOnVNmHlJTkZGR0NPTQ5s2bURHIfqgVq1aQV9fn+0jlXvR0dHlZnULKn2FFoGVK1dGq1atcObMGWXmITUVERGB9u3bQ19fX3QUog/KPWDhJTNU3kVFRcHBwUF0DBKkyImKXF1dERwcrKwspKYkSUJoaCjc3NxERyFSmIODA6KiokTHIPpo9+/fx4MHD1gEqrEii0APDw/cu3cPCQkJyspDaiguLg5JSUlwd3cXHYVIYZ06dcK1a9eQmpoqOgrRR4mKioKOjg7s7OxERyFBClw2Lpe9vT2MjIwQHBwMHx8fZWUiNRMSEoIaNWqgdevWoqOUmujoaGRnZ4uOoXIq0mja3EFM4eHh6NOnj+A0RMV36tQp2NnZVZjl4p49e4YDBw6IjqGSChvEVmQRqK2tDXd3dxw+fJhFIJWZw4cPo3v37iq1jFJJrVq1SnQEKmOmpqZo27YtQkJCWARSuRQaGgpvb2/RMUrNn3/+icGDB4uOobKcnZ3z3aYhSZJU1C8FBQVh4MCBePDgAYeQU6m7f/8+LC0tcfz4cXh4eIiOQ1QsCxcuxM6dO3H//n3RUYiKJS4uDi1btsSlS5fQrl070XFIkA92vXTv3h2GhoYICgpSRh5SMwEBATAyMkLXrl1FRyEqNnd3dzx48AA3btwQHYWoWEJCQmBqasppudTcB4tAfX199OzZE/v371dGHlIzBw8eRL9+/aCrqys6ClGxtW/fHqampjh69KjoKETFcuzYMXh4eFSoy3Co+BT6648YMQJRUVG4fft2WechNRIXF4fLly9jxIgRoqMQfRQtLS18/vnnvBidypVHjx4hKioKAwYMEB2FBFOoCHRzc0O9evWwbdu2ss5DamTbtm1o2LAhnJycREch+miDBw/GH3/8wam0qNzYv38/DA0N4erqKjoKCaZQEaipqYnRo0dj586dyMzMLOtMpAbevXuHvXv3wtvbGxoaGqLjEH20Ll26wNzcHAcPHhQdhUghBw4cQN++fblCEylWBALAmDFjkJKSwgEiVCr279+PN2/eYOTIkaKjEJWIlpYW+vXrh4CAANFRiD4oMTERFy5cwMCBA0VHIRWgcBFYt25d9O/fn/OfUalYs2YNhgwZgpo1a4qOQlRiXl5eiI+Px8WLF0VHISrSjh07YG5uzlPBBKAYRSAAzJo1C1euXEF4eHgZxSF1EBISgtjYWEyfPl10FKJSYW9vj1atWmHr1q2ioxAVKicnB35+fhg9ejR0dHRExyEV8MHJov/L0dERVatWxbFjx8oqE1VwLi4uAIATJ04ITkJUen766SfMmTMHSUlJqFq1qug4RPkcO3YMvXv3xq1bt9C4cWPRcUgFFHuCoK+//hrBwcG4cuVKWeShCi4qKgphYWGYPXu26ChEpWrEiBHIycnBvn37REchKtDWrVvx2WefsQAkuWL3BAL/nPowNTVlbyAVW9euXZGZmYnIyEjRUYhK3bhx4xAVFYXr169z1DuplISEBNjY2ODAgQPo37+/6DikIj6qCAwNDYW7uzvOnTsHe3v7sshFFVBkZCQ6d+6M06dP47PPPhMdh6jU3bp1C02bNsXhw4fRq1cv0XGI5CZOnIj//e9/SEhIgJaWlug4pCI+qggEgM6dO0NbWxunT58u7UxUAUmShE6dOsHQ0JDXAlKF1qNHD6Snp3MAHamM58+fo379+li5ciUmTZokOg6pkI9eNPDHH39EREQE5w0khezduxcXL17E999/LzoKUZmaOXMmzpw5g0uXLomOQgQAWL9+PQwMDDBq1CjRUUjFfHRPIAB4enrKr3/hzONUmLdv38LGxgbu7u7YvHmz6DhEZa5Dhw4wNTXF8ePHRUchNZeSkgIrKyvMnDkT8+fPFx2HVMxH9wQCwPfff49nz55h9erVpZWHKqBly5YhNTUV3377regoREqxePFiBAcH4+zZs6KjkJpbuXIltLW14ePjIzoKqaAS9QQC/xSCixcvRmxsLIedUz7Xrl1DmzZt8MMPP7ARIrXy2WefQVtbG2FhYaKjkJpKTk5GgwYNMG/ePHz99dei45AKKnERmJ2djQ4dOqBKlSo4ffo0p0UgOZlMBkdHR2RlZeHcuXMckUZqJTw8HF26dMHJkyfh7OwsOg6poRkzZsDf3x937txB5cqVRcchFVSi08EAoK2tjc2bNyMyMhLbtm0rjUxUQWzYsAEXL17Etm3bWACS2vnss8/g4eGBGTNmICcnR3QcUjMJCQn4+eefsWDBAhaAVKgS9wTm+vrrr7Fp0yZcvXoVDRs2LI2HpHLs5s2baNu2LWbMmMFrAUlt3bx5E7a2tli/fj3Gjx8vOg6pkV69euHu3buIjY2Ftra26DikokqtCMzMzIS9vT20tbURHR3NxanV2Pv37/Hpp58iJycH0dHR0NXVFR2JSBgfHx/s27cPCQkJqFatmug4pAZOnjyJbt26ITQ0FK6urqLjkAor8engXHp6eti7dy+uXbvGnh81N3fuXFy/fh379u1jAUhqb9GiRZDJZFi4cKHoKKQGMjMzMWXKFPTu3ZsFIH1QqRWBANC0aVOsWrUKS5cuRWhoaGk+NJUTv/32G1auXIl169ZxtDgRgOrVq+OHH37ATz/9hOjoaNFxqIL77rvv8Pfff2PNmjWio1A5UGqng/9t9OjROHLkCC5fvowGDRqU9sOTikpISED79u3Rq1cv7Nq1S3QcIpUhSRLc3Nzw5MkTXL58mT3kVCZu3bqFVq1aYdmyZZg+fbroOFQOlEkRmJGRgY4dO0JLSwtRUVGoVKlSae+CVEx6ejo6duwIXV1dREZGcgUZov+4c+cObG1t4evry5UbqNTJZDJ07twZ79+/55RcpLBSPR2cy8DAAEFBQUhMTMTIkSMhk8nKYjekInJycjBs2DA8fvwYgYGBLACJCtCwYUMsXrwYS5YswdWrV0XHoQpm1apVuHz5MrZu3coCkBRWJj2BuSIiIuDq6gofHx8sX768rHZDgvn4+GDLli0ICwuDg4OD6DhEKksmk8HFxQWPHz/G5cuXYWBgIDoSVQBXr16Fvb09Fi9ejNmzZ4uOQ+VImRaBALBnzx54eXlhw4YNmDhxYlnuigRYu3YtZsyYgX379mHQoEGi4xCpvKSkJNja2mLIkCH4+eefRcehci4jIwNt27ZFjRo1cOrUKfYCUrGU+QySI0aMQGJiIiZPnoxq1aph6NChZb1LUpJdu3ZhxowZ+P7771kAEinIwsICGzduxJAhQ+Dq6oo+ffqIjkTlmI+PD549e4YTJ06wAKRiU8o04vPmzcObN2/g6ekJbW1tDBw4UBm7pTJ0+PBhjB07Fj4+Ppg1a5boOETlyqBBg3DixAmMHDkSly5d4nRK9FF27NiB7du3IygoCHXq1BEdh8qhMj8dnEuSJHzxxRf45ZdfcPjwYbi7uytjt1QGjh8/jn79D7dnwgAADghJREFU+mHChAlYt26d6DhE5VJmZiY6d+6MN2/e4MKFC6hataroSFSOxMTEoFOnTpg2bRqWLVsmOg6VU0orAoF/LooeM2YMAgICEBAQgM8//1xZu6ZScujQIQwfPhxeXl7YsmULNDQ0REciKrfu37+Ptm3bomvXrti3bx8/T6SQ5ORktGvXDo0bN0ZISAhPA9NHK5MpYgrdmaYmdu7ciQkTJmDAgAHw8/NT5u6phPbu3YuhQ4di3Lhx2Lx5M7+wiEqoXr16CAgIQGBgIJfbJIVkZmaiX79+AIB9+/axAKQS0Vq0aNEiZe5QQ0MD7u7uSEtLg6+vL4yNjdGhQwdlRqCPsHLlSkyaNAnffPMNVq1axQKQqJQ0aNAAtWvXxsyZM2FlZYWWLVuKjkQqSpIkjBkzBmfOnMGJEydgZWUlOhKVc0oZGPJfGhoaWLFiBUxNTeHj44M7d+5g1apVPKJRQdnZ2ZgyZQq2bNmC1atXY9q0aaIjEVU448aNw+3btzFu3DhYWFiga9euoiORCpo3bx4CAgJw/Phx2Nraio5DFYBSrwksyP79+zFq1Ci4u7tj9+7dMDQ0FBmH/uX169cYOnQowsPDsWfPHvTt21d0JKIKSyaTYciQIQgLC8Pp06fZI0h5bNy4EV9++SW2b9+O0aNHi45DFYTwIhAAIiMj0bdvX5ibmyMoKAjW1taiI6m969evo1+/fkhNTcXhw4d5yp5ICd69e4cePXrgzz//xJkzZ2BjYyM6EqmA3bt3Y9SoUfj2228xZ84c0XGoAlHqwJDCfPrpp7h69SqqVKmCdu3aITAwUHQktXbkyBF06tQJVapUwYULF1gAEimJvr4+fvvtNzRp0gTdunXD3bt3RUciwQ4fPowxY8bAx8eHBSCVOpUoAgGgTp06CA8Px+jRozFw4EBMmDABGRkZomOplXfv3sHHxwd9+/bF4MGDERUVhXr16omORaRWDAwMcPToUdSoUQPdunVDYmKi6EgkyNGjRzF48GBMnDgRq1evFh2HKiCVOB38X7t378bkyZNhaWmJvXv3onnz5qIjVXgxMTEYNmwYnjx5gk2bNnEZOCLBkpOT4eLiguTkZISFhaFJkyaiI5ESBQQEwMvLC2PGjMHGjRs5IwOVCZXpCfw3T09PxMTEoEqVKrCzs8MPP/yA7Oxs0bEqpPfv32Pp0qWwt7dHjRo1EBMTwwKQSAWYmpri9OnTqFevHhwdHREbGys6EinJ7t274enpiQkTJrAApDKlkkUgAFhZWeHMmTOYP38+Fi5ciA4dOuDq1auiY1UoFy9eRLt27bB06VJ8++23OHnyJE//EqkQIyMjhIaGomnTpnB2dkZUVJToSFTGVqxYgZEjR2Lu3Ln46aefWABSmVLZIhAAtLS0MGfOHMTExMDQ0BDt27fHjBkz8OrVK9HRyrWXL19iypQp6NSpE8zMzBAfH49Zs2ZxnkYiFWRoaIjg4GA4OjqiW7duOHDggOhIVAays7PxxRdfwNfXF2vWrIGS13EgNaXSRWCuJk2aIDw8HBs2bMCePXtgbW2NzZs3IycnR3S0ciU7Oxvr169H48aNcejQIWzfvh0nTpxAw4YNRUcjoiJUqlQJQUFBmD17NoYMGcICoYJJS0tD37598csvv8Df3x8+Pj6iI5GaUMmBIUV59eoVFi9ejPXr18PGxgaLFy9Gnz592GVeBEmSEBgYiAULFuDu3bvw8fHB3LlzUbVqVdHRiKiY1q5di5kzZ8LT0xMbN26Evr6+6EhUAnfu3EG/fv3w5MkT/L/27i6mybuN4/h3CGO4iDiR6eaw+Eaj1Ja5TnGiCcHxEuoIKMsmmmxiPFicHm2+zTiXzYBkZmqyTN0WMLKM+tqgqDQxE6QORaSlW4KGdqJzzHYiBlCLNzvYI4/s8ZnbItzQXp+TnrW/uwfNL//77nVZLBYZySX61aA4CXxQREQEn376KQ6Hg9jYWLKysjAajRw9elTtaANOd3c3FouF+Ph4Xn/9dfR6PU6nk/z8fCmAQgxSK1eu5NChQxw6dIhXXnlFRsgMYkePHsVoNDJkyBDOnDkjBVD0u0FXAu+LjY3FbDZjt9sZP348GRkZGAwGiouL8fl8asdTlc/nw2w2M2PGDF577TVGjRrFuXPn+Oabb+TWrxB+ICMjg7Nnz+Lz+XjppZc4ceKE2pHEP6AoCh9++CEmkwmTycTp06eJiYlRO5YIQIO2BN4XFxdHaWkpZ8+eRavVsnTpUiZOnEhhYSEej0fteP3q+vXrFBQUMH78eBYtWsTkyZOpq6ujoqKC+Ph4teMJIR6jiRMnYrPZSElJIS0tjffff5+7d++qHUs8wtWrV5k3bx6ffPIJ27dvp6ioiLCwMLVjiQA16J4JfBS3281nn33GV199xZ07d8jMzGTZsmUkJSX55XODiqJgtVrZvXs3hw8fJiwsjLy8PN59910Z9yJEgCguLuadd95Bo9FQUlKCTqdTO5J4iIMHD7Js2TIiIyPZu3cv06dPVzuSCHCD/iTwzzQaDVu3bqWlpYU9e/bg9XqZN28e0dHRrFy5kqqqKvyh9zqdTjZu3MikSZNISUmhqamJ7du3c/XqVQoLC6UAChFAlixZwvnz5wkLCyMhIYEdO3agKIrascR/3Lhxg7fffpusrCyysrKora2VAigGBL87CXyYH374gZKSEkpLS7l48SIajQaTyURaWhpz585l6NChakd8pPb2dk6ePEl5eTllZWVcvnwZrVZLTk4Ob7zxBlqtVu2IQgiV+Xw+Nm3aRH5+PkajkV27djFlyhS1YwW0ffv2sWLFCgA+//xzMjMzVU4kxH8FRAl8UF1dHWazmfLycurr6wkNDWXOnDkkJiaSmJiI0WgcEKWwvb2dmpoaqqqqOHXqFJWVldy9e5f4+HjS09NZsGABer1e7ZhCiAHIbreTl5dHfX09a9asYfXq1TJKpp81NzezYsUKLBYLb731FoWFhYwYMULtWEL0EnAl8EHXrl3j2LFjWK1WKisraW5uJiQkBL1ej8FgQKfTodPpiIuLY9SoUX2Wo6WlhYaGBhoaGnA4HFy4cIH6+nq6uroYN24ciYmJJCcnk5qayrPPPttnOYQQ/uPevXts27aNDz74gKioKLZs2UJ2drbasfxeR0cHW7ZsoaCggOeee44vvviCpKQktWMJ8VABXQL/rLm5mcrKSmpqanA4HNTX1+P1egF4+umniYmJISYmhujoaCIjIxk5cmTPa1BQEOHh4b1Wr927d4+2tjYURcHj8eD1evF6vXg8Hn766SdcLhcul4uOjg7gj4Xxer0enU7HjBkzmD17NmPHjlXluxBC+IcrV66wevVqSkpKmDt3Llu3bsVgMKgdy+90d3fz7bff8t5779Ha2sq6detYtWoVoaGhakcT4v+SEvgIP//8Mz/++CMulwu3243b7eby5cs9hc7r9dLV1fXI9wkODmbkyJE9xTE6OhqNRoNGoyEmJoYpU6YwevTofrgiIUQgOnfuHKtWrcJms5Gdnc1HH31EbGys2rH8gtVqZc2aNdTW1pKbm0tBQYH8notBQUrgY3Dz5k0URaGtra3XPuPg4GCGDRtGUFAQw4cPVzGhEEL8cVplNpvZuHEjFy9eJDc3lw0bNsig4n/JarWyYcMGbDYbJpOJTZs2ySmrGFSkBAohRIBRFIX9+/ezfv16Ll26RHp6OuvWrWPmzJlqRxvwFEXhyJEjbN68GZvNRnJyMh9//DEvv/yy2tGE+Mf8bk6gEEKIvxYUFMTChQtxOp0UFRVx5coVEhISSEpKoqysTGYMPsStW7fYsWMHkyZNIjMzkzFjxmCz2aioqJACKAYtOQkUQghBVVUV+fn5HDlyhDFjxrB48WKWL18e8LeKa2tr2blzJyUlJfh8PnJycli7dq3MZhV+QUqgEEKIHo2NjXz55ZcUFRXh8Xh49dVXefPNN5k/fz7h4eFqx+sXbreb0tJSiouLcTqd6PV68vLyyM3NJSIiQu14Qjw2UgKFEEL8D5/Ph8Vi4euvv6aiooKgoCBSU1PJyckhPT3d7/7s5na7OXDgAKWlpdTU1PDMM8+wYMECli5ditFoVDueEH1CSqAQQoi/1NraisViwWw2c/z4cRRFwWAwkJGRgclk4sUXX+SJJ55QO+Y/0tXVxZkzZygrK8NqtVJbW0tERAQmk4mFCxeSkpLCk08+qXZMIfqUlEAhhBB/22+//caJEycoLy/n+PHjtLS0EBUVxaxZs5g9ezazZs1i+vTpA65Atba2Ul1dTXV1NVVVVdTU1NDZ2cnUqVNJS0sjNTWVxMTEAZdbiL4kJVAIIcS/0t3dzfnz5/nuu++orKykurqaX3/9ldDQUKZOndqzdnPatGlotVqef/75XluV+sLt27dxuVw4nU4cDgcNDQ3Y7XaamppQFAWtVttTWJOTk3nhhRf6NI8QA5mUQCGEEI9NY2Mj33//PXa7HbvdjsPh4Nq1awCEhIQQHR3ds35z9OjRvTYpDR8+nLCwMIBeazhv375NZ2cnAG1tbdy8eROPx8P169fxer388ssvPWs473/WkCFDmDBhAtOmTUOn02EwGEhISOjTPfBCDDZSAoUQQvQpj8dDY2Njz/pNl8tFc3MzLS0tPes375e8vys8PJzIyEgiIyOJiorq2e1+fxXn5MmTGTp0aB9dkRD+QUqgEEII1XV0dHDr1i3a29sBeq3hfOqpp3pOCCMiIhg2bBghISGqZRXCX0gJFEIIIYQIQLI2TgghhBAiAEkJFEIIIYQIQMFAk9ohhBBCCCFE//odDqv9+DNcfgwAAAAASUVORK5CYII=",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dask.visualize(taskgraph, rankdir=\"LR\", optimize_graph=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 263 ms, sys: 38.9 ms, total: 302 ms\n",
      "Wall time: 321 ms\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "{'entries': 500000,\n",
       " 'mass': Hist(\n",
       "   StrCategory(['opposite', 'same'], name='sign'),\n",
       "   Regular(1000, 0.2, 200, transform=log, name='mass', label='$m_{\\\\mu\\\\mu}$ [GeV]'),\n",
       "   storage=Int64()) # Sum: 245435.0 (245753.0 with flow)}"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%time\n",
    "(out,) = dask.compute(taskgraph)\n",
    "out"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'from-uproot-ece94f13a30832ab46c00668ff6af4a8': frozenset({'Muon_charge',\n",
       "            'Muon_eta',\n",
       "            'Muon_mass',\n",
       "            'Muon_phi',\n",
       "            'Muon_pt'})}"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dak.necessary_columns(taskgraph)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "out[\"mass\"].plot1d(ax=ax)\n",
    "ax.set_xscale(\"log\")\n",
    "ax.legend(title=\"Dimuon charge\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Filesets\n",
    "We'll need to construct a fileset to run over"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "initial_fileset = {\n",
    "    \"DoubleMuon\": {\n",
    "        \"files\": {\n",
    "            \"/Users/iason/work/pyhep_dev/uscms-idap-training/coffea/Run2012B_DoubleMuParked.root\": \"Events\",\n",
    "            # \"root://eospublic.cern.ch//eos/root-eos/cms_opendata_2012_nanoaod/Run2012B_DoubleMuParked.root\": \"Events\",\n",
    "        },\n",
    "        \"metadata\": {\n",
    "            \"is_mc\": False,\n",
    "        },\n",
    "    },\n",
    "    \"ZZ to 4mu\": {\n",
    "        \"files\": {\n",
    "            \"/Users/iason/work/pyhep_dev/uscms-idap-training/coffea/ZZTo4mu.root\": \"Events\",\n",
    "            # \"root://eospublic.cern.ch//eos/root-eos/cms_opendata_2012_nanoaod/ZZTo4mu.root\": \"Events\",\n",
    "        },\n",
    "        \"metadata\": {\n",
    "            \"is_mc\": True,\n",
    "        },\n",
    "    },\n",
    "}"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Processing with Virtual mode\n",
    "\n",
    "Preprocessing is hidden inside this interface"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #000080; text-decoration-color: #000080; font-weight: bold\">Processing</span> <span style=\"color: #800080; text-decoration-color: #800080\">100%</span> <span style=\"color: #729c1f; text-decoration-color: #729c1f\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span> <span style=\"color: #000080; text-decoration-color: #000080; font-weight: bold\">6/6</span> [ <span style=\"color: #808000; text-decoration-color: #808000\">0:00:00</span> &lt; <span style=\"color: #008080; text-decoration-color: #008080\">0:00:00</span> | <span style=\"color: #800000; text-decoration-color: #800000\">11.6</span> <span style=\"color: #800000; text-decoration-color: #800000\">chunk/s</span> ]\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1;34mProcessing\u001b[0m \u001b[35m100%\u001b[0m \u001b[38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[1;34m6/6\u001b[0m [ \u001b[33m0:00:00\u001b[0m < \u001b[36m0:00:00\u001b[0m | \u001b[31m11.6\u001b[0m \u001b[31mchunk/s\u001b[0m ]\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 439 ms, sys: 78.1 ms, total: 517 ms\n",
      "Wall time: 569 ms\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "iterative_run = processor.Runner(\n",
    "    executor=processor.IterativeExecutor(compression=None),\n",
    "    schema=BaseSchema,\n",
    "    maxchunks=3,\n",
    "    savemetrics=True,\n",
    ")\n",
    "\n",
    "out, metrics = iterative_run(\n",
    "    initial_fileset,\n",
    "    processor_instance=MyProcessor(\"virtual\"),\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'DoubleMuon': {'entries': 300090,\n",
       "  'mass': Hist(\n",
       "    StrCategory(['opposite', 'same'], name='sign'),\n",
       "    Regular(1000, 0.2, 200, transform=log, name='mass', label='$m_{\\\\mu\\\\mu}$ [GeV]'),\n",
       "    storage=Int64()) # Sum: 146806.0 (147001.0 with flow)},\n",
       " 'ZZ to 4mu': {'entries': 299814,\n",
       "  'mass': Hist(\n",
       "    StrCategory(['opposite', 'same'], name='sign'),\n",
       "    Regular(1000, 0.2, 200, transform=log, name='mass', label='$m_{\\\\mu\\\\mu}$ [GeV]'),\n",
       "    storage=Int64()) # Sum: 57211.0 (57331.0 with flow)}}"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "out"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "out[\"DoubleMuon\"][\"mass\"].plot1d(ax=ax)\n",
    "ax.set_xscale(\"log\")\n",
    "ax.legend(title=\"Dimuon charge\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now, if we want to use more than a single core on our machine, we simply change `IterativeExecutor` for `FuturesExecutor`, which uses the python `concurrent.futures` standard library. We can then set the most interesting argument to the `FuturesExecutor`: the number of cores to use."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">     <span style=\"color: #000080; text-decoration-color: #000080; font-weight: bold\">Processing</span> <span style=\"color: #800080; text-decoration-color: #800080\">100%</span> <span style=\"color: #729c1f; text-decoration-color: #729c1f\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span> <span style=\"color: #000080; text-decoration-color: #000080; font-weight: bold\">308/308</span> [ <span style=\"color: #808000; text-decoration-color: #808000\">0:00:07</span> &lt; <span style=\"color: #008080; text-decoration-color: #008080\">0:00:00</span> | <span style=\"color: #800000; text-decoration-color: #800000\">48.6</span>  <span style=\"color: #800000; text-decoration-color: #800000\">chunk/s</span> ]\n",
       "<span style=\"color: #000080; text-decoration-color: #000080; font-weight: bold\">Merging (local)</span> <span style=\"color: #800080; text-decoration-color: #800080\">  0%</span> <span style=\"color: #3a3a3a; text-decoration-color: #3a3a3a\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span>   <span style=\"color: #000080; text-decoration-color: #000080; font-weight: bold\">1/308</span> [ <span style=\"color: #808000; text-decoration-color: #808000\">0:00:07</span> &lt; <span style=\"color: #008080; text-decoration-color: #008080\">-:--:--</span> | <span style=\"color: #800000; text-decoration-color: #800000\">?   </span> <span style=\"color: #800000; text-decoration-color: #800000\">merges/s</span> ]\n",
       "</pre>\n"
      ],
      "text/plain": [
       "     \u001b[1;34mProcessing\u001b[0m \u001b[35m100%\u001b[0m \u001b[38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[1;34m308/308\u001b[0m [ \u001b[33m0:00:07\u001b[0m < \u001b[36m0:00:00\u001b[0m | \u001b[31m48.6\u001b[0m  \u001b[31mchunk/s\u001b[0m ]\n",
       "\u001b[1;34mMerging (local)\u001b[0m \u001b[35m  0%\u001b[0m \u001b[38;5;237m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m   \u001b[1;34m1/308\u001b[0m [ \u001b[33m0:00:07\u001b[0m < \u001b[36m-:--:--\u001b[0m | \u001b[31m?   \u001b[0m \u001b[31mmerges/s\u001b[0m ]\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 1.38 s, sys: 159 ms, total: 1.54 s\n",
      "Wall time: 7.54 s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "futures_run = processor.Runner(\n",
    "    executor=processor.FuturesExecutor(workers=4, compression=None),\n",
    "    schema=BaseSchema,\n",
    "    savemetrics=True,\n",
    ")\n",
    "\n",
    "out, metrics = futures_run(initial_fileset, processor_instance=MyProcessor(\"virtual\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'DoubleMuon': {'entries': 29308627,\n",
       "  'mass': Hist(\n",
       "    StrCategory(['opposite', 'same'], name='sign'),\n",
       "    Regular(1000, 0.2, 200, transform=log, name='mass', label='$m_{\\\\mu\\\\mu}$ [GeV]'),\n",
       "    storage=Int64()) # Sum: 14378856.0 (14397111.0 with flow)},\n",
       " 'ZZ to 4mu': {'entries': 1499064,\n",
       "  'mass': Hist(\n",
       "    StrCategory(['opposite', 'same'], name='sign'),\n",
       "    Regular(1000, 0.2, 200, transform=log, name='mass', label='$m_{\\\\mu\\\\mu}$ [GeV]'),\n",
       "    storage=Int64()) # Sum: 288707.0 (289326.0 with flow)}}"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "out"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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QTAchbYnR8FOtWjWzTVuH1HXXXee270cffWTWHFu6dKlpAXJ48MEH5a677jI/P/fcc9K+fXv5v//7P+nRo4fZpoFH93HQ1p/nn3/ehCylLUIapkaMGCEvv/xyjv/5AABkFkHI4po1aybdunUz4UeDyw033CB33HGHlCpVSk6cOCEvvfSSaSWKiIiQpKQkOX/+vBw6dMjtMZo2ber8OSwszC1MObbFxcVJdHS0hIaGyqZNm2TZsmVuLUD62LqPPr52sQEA3CUkJcvuE/YW+bDQwlK2WDCnKBcQhPJSoaL21hlPPG8mBQQEyPz582X58uUyb948mTBhgrz44ouyatUqGTx4sJw+fVrGjx9vWouCg4NNa8/Fixfdn65QIbeaofS2JScnm+vY2FjTKqStUClpzRAAILWz5y9Krw/+MT+/1KuBPNypJqcpFxCE8pIGgEx2UXmSBpVrrrnGXEaNGmVCz6xZs0yrzeTJk01dkDp8+LCcOnUqx8+nRdK7du2S2rVr58LRAwCQfQQhi9OWn4ULF5ousfLly5vbJ0+eNKO/tDj6yy+/lFatWplurWeffdaMLMspDVtaY1S1alXTDefv72+6y7Zu3SqvvfZarvy7AADIDEaNWZzW7Pz111+m1adu3bqmJmjcuHHSs2dP+fTTT+Xs2bOmBeeBBx6Q//znPyYs5ZTWIs2ePdt0xbVu3VratWsn7733nrNYGwCA/EKLkMVpy8/cuXPTvK958+ZmLiFX2oLjSofGu6pevXqqbTqfUMptGoYco8oAAFnz2+bj1AjlElqEAADwMpsOR3r6EHwGQQgAAC9TIZQRth4JQmPHjjU1HcWLFze1Ir179zajf1zpXDBDhgwxSzUUK1ZM+vbta+ajcaXz0PTq1cvMF6OPo0W4KZdX0LlrtDZFh2zr6CKdeTilSZMmma4YHXLdtm1bWb16dZaPBQAAWFeWgpDOKKzBQpdb0LlnEhISzGgjXZfK4emnn5bffvtNZs6cafY/duyY23wxOnGehiCdi0bnrpk+fboJOTqSyOHAgQNmn65du5plG5566il5+OGH5c8//3TuM2PGDBk+fLiZiVjXv9KJAbXmRCf+y+yxAAAAi7PlQEREhFbA2pYuXWpuR0ZG2goVKmSbOXOmc58dO3aYfVasWGFuz5kzx+bv728LDw937jNlyhRbaGioLT4+3tweMWKErVGjRm7Pdffdd9t69OjhvN2mTRvbkCFDnLeTkpJslSpVso0dOzbTx5KRqKgos79ep3ThwgXb9u3bbefPn8/UY8E76N9T/67690XG7v9kpa3ac7PNBUDeOhF9wfn/re3rCzjd2fz8TilHNUJRUVHmunTp0uZ63bp1ppVIVy930EU4db4YXZFc6bUuv+BYikFpS47OU7Nt2zbnPq6P4djH8RjamqTP5bqPzkWjtx37ZOZYUoqPjzfH4XpJj2PmZF0SAr7D8fd0nRkbAOC7sj18XpdL0C4rnY24cePGZlt4eLgEBQWZhTldaejR+xz7uIYgx/2O+660jwaTCxcumLlttIstrX127tyZ6WNJqwZKl37I7NIU+tiOrjitd3IsJQHvo8P7NQTp31P/rvr3BQD4vmwHIa0V0pmA//nHvu6JLxg5cqSpO3LQ4FWlSpV0969QoYK5dq1LgnfTEOT4uwIAfF+2gtDQoUPNzMA6I3HlypWd2/UDRLutIiMj3VpidKSW48NFr1OO7nKM5HLdJ+XoLr2tsyDrEg/6bV0vae3j+hgZHUtKOkJNL5mlLUAVK1Y0I9+0Gw7eTbvDaAkCAGsJzGr3wZNPPmkW5NTh7TVq1HC7v2XLlubDRNeu0qHqSofX63B5XbVc6fXrr79uWlEcyzXoCDQNOQ0bNnTuM2fOHLfH1n0cj6FdXvpc+jw6hN/RVae3NaRl9lhyiyOYAQAAHw5C2h32zTffyC+//GLmEnLU2pQoUcK01Oj1oEGDTPeSFlBruNHgpMFD15NSOtxeA4+uXfXWW2+Zx9D1rfSxHa0xjz/+uEycOFFGjBghDz30kCxatEi+//57+f33353Hos8xYMAAsyBomzZt5P333zfD+B988EHnMWV0LAAAwNqyFISmTJniXDvK1eeffy4DBw40P+vimTqCS1thdBSWjvaaPHmyc19tOdFutcGDB5tQEhISYgLNq6++6txHW5o09Og8QOPHjzfdb5988onb2lR33323WSVd5x/SMHX11VebNbNcC6gzOhYAAGBtfjqG3tMHUVBpsbS2LOk0AdqiBMDdA5+ukr/3nDI/H3yzF6cHyEMRMXHS5vWFziU2Vr7QjfOdC5/frDUGAAAsiyAEAAAsiyAEAAAsiyAEAAAsiyAEAAAsiyAEAAAsiyAEAAAsiyAEAAAsiyAEAAAsiyAEAAAsiyAEAIAXWLrrpKcPwScRhAAA8AIbDkd6+hB8EkEIAAAvEBIU4OlD8EkEIQAAYFkEIQAAYFkEIQAAYFkEIQDZkpRsk7/3nOLsAfBqBCEA2XIxMZkzB8DrEYQA5Io1B89wJgF4HYIQgFyxNyKWMwnA6xCEAACAZRGEAACAZRGEAACAZRGEAACAZRGEAACAZRGEAADwMuHRcXI08oKnD8MnEIQAAPBC6/896+lD8AkEIQAAYFkEIQAAYFkEIQAAYFkEIQAAYFkEIQAAYFkEIQAAYFkEIQAAYFkEIQAAYFkEIQAAYFkEIQAAYFkEIQAAYFkEIQAAYFkEIQAAYFkEIQAAYFkEIQAAYFkEIQAAYFkEIQAAYFkEIQAAYFkEIQAAYFkEIQAAYFkEIQAAYFkEIQAAYFkEIQAAYFkEIQAAYFkEIQAAYFkEIQAAYFkEIQAAYFkEIQAAYFkEIQAAYFkEIQAAYFkEIQAAvMDHfx/w9CH4JIIQAACwLIIQAABeJCiAj+7cxNkEAMCLVC9b1NOH4FMIQgAAwLIIQgAAwLKyHIT++usvueWWW6RSpUri5+cnP//8s9v9AwcONNtdLzfeeKPbPmfOnJH77rtPQkNDpWTJkjJo0CCJjY1122fz5s3SqVMnKVy4sFSpUkXeeuutVMcyc+ZMqV+/vtmnSZMmMmfOHLf7bTabjBo1SipWrChFihSR7t27y549e7L6TwYAAD4qy0Ho3Llz0qxZM5k0aVK6+2jwOX78uPPy7bffut2vIWjbtm0yf/58mT17tglXjz76qPP+6OhoueGGG6RatWqybt06efvtt2X06NHy0UcfOfdZvny59OvXz4SoDRs2SO/evc1l69atzn00PH3wwQcydepUWbVqlYSEhEiPHj0kLi4uq/9sAADggwKz+gs9e/Y0lysJDg6WChUqpHnfjh07ZO7cubJmzRpp1aqV2TZhwgS56aab5J133jEtTV9//bVcvHhRPvvsMwkKCpJGjRrJxo0b5d1333UGpvHjx5vA9eyzz5rbY8aMMcFq4sSJJvhoa9D7778vL730ktx2221mny+++ELCwsJMK9Y999yT1X86AADwMXlSI7RkyRIpX7681KtXTwYPHiynT5923rdixQrTHeYIQUq7rPz9/U2rjWOfa6+91oQgB23J2bVrl5w9e9a5j/6eK91Ht6sDBw5IeHi42z4lSpSQtm3bOvdJKT4+3rRGuV4AAIDvyvUgpK002vKycOFC+d///idLly41LUhJSUnmfg0nGpJcBQYGSunSpc19jn205caV43ZG+7je7/p7ae2T0tixY01Ycly0NgkAAPiuLHeNZcS1y0kLmJs2bSq1atUyrUTdunWTgmzkyJEyfPhw521tESIMAQDgu/J8+HzNmjWlbNmysnfvXnNba4ciIiLc9klMTDQjyRx1RXp94sQJt30ctzPax/V+199La5+0apt0JJvrBQAA+K48D0JHjhwxNUI6hF21b99eIiMjzWgwh0WLFklycrKp33HsoyPJEhISnPtoIbTWHJUqVcq5j3a/udJ9dLuqUaOGCTyu+2gLj9YhOfYBAADWluUgpPP96AguvTiKkvXnQ4cOmft0FNfKlSvl4MGDJoToiK3atWubQmbVoEEDU0f0yCOPyOrVq2XZsmUydOhQ06WmI8bUvffeawqldWi8DrOfMWOGGSXm2m01bNgwM/ps3LhxsnPnTjO8fu3ateaxlM5f9NRTT8lrr70mv/76q2zZskX69+9vnkOH2QMAAGS5RkjDRteuXZ23HeFkwIABMmXKFDMR4vTp002rj4YOnQ9Ih7Zrt5ODDo/XwKI1QzparG/fvma+HwctVJ43b54MGTJEWrZsabrWdGJE17mGOnToIN98840ZHv/CCy9InTp1zLD4xo0bO/cZMWKEmfdIf0+Pp2PHjiY86QSMAAAAfjadcAdp0q40DWVRUVHUCwEpXLiYJA1GzXXeHnt7E+nXpirnCcgj1Z//3VzXDSsmu0/EyoR+zeWWZvaeFGT/85u1xgAAgGURhAAAgGURhAAAgGURhAAAgGURhAAA8EKrD5zx9CH4BIIQAABeJC4h2Vx/vepfTx+KTyAIAQDgRU7GxJvrxleV8PSh+ASCEAAAXuTV2xp5+hB8CkEIAABYFkEIAABYFkEIAABYFkEIAABYFkEIAABYFkEIAABYFkEIAABYFkEIAABYFkEIAABYFkEIAABYFkEIAABYFkEIAABYFkEIAABYFkEIAABYFkEIAABYFkEIAABYFkEIAABYFkEIAABYFkEIAABYFkEIAABYFkEIAABYFkEIAABYFkEIAABYFkEIAABYFkEIAIACbubaw54+BJ9FEAIAoICLupDg6UPwWQQhAAC8xFUli0hokUKePgyfQhACAMBLtKlRWoIC+OjOTZxNAABgWQQhAABgWQQhAABgWQQhAABgWQQhAABgWQQhAABgWQQhAABgWQQhAABgWQQhAABgWQQhAABgWQQhAABgWQQhAABgWQQhAABgWQQhAABgWQQhAABgWQQhAABgWQQhAABgWQQhAABgWQQhAABgWQQhAABgWQQhAABgWQQhAABgWQQhAAC80OYjUbL6wBlPH4bXIwgBAOClbDabpw/B6xGEAADwIu1rlZFiwYGePgyfQRACAMCLFC4UIGGhwZ4+DJ9BEAIAAJZFEAIAAJaV5SD0119/yS233CKVKlUSPz8/+fnnn1MVbo0aNUoqVqwoRYoUke7du8uePXvc9jlz5ozcd999EhoaKiVLlpRBgwZJbGys2z6bN2+WTp06SeHChaVKlSry1ltvpTqWmTNnSv369c0+TZo0kTlz5mT5WAAAgHVlOQidO3dOmjVrJpMmTUrzfg0sH3zwgUydOlVWrVolISEh0qNHD4mLi3PuoyFo27ZtMn/+fJk9e7YJV48++qjz/ujoaLnhhhukWrVqsm7dOnn77bdl9OjR8tFHHzn3Wb58ufTr18+EqA0bNkjv3r3NZevWrVk6FgAAYGG2HNBfnzVrlvN2cnKyrUKFCra3337buS0yMtIWHBxs+/bbb83t7du3m99bs2aNc58//vjD5ufnZzt69Ki5PXnyZFupUqVs8fHxzn2ee+45W7169Zy377rrLluvXr3cjqdt27a2xx57LNPHklJcXJwtKirKeTl8+LA5Vv0ZgLupS/baqj0323n5ZtW/nCIgj3z81z7z/+yp7zaY29e9s9jcXrnvFOc8Dfq5ndnP71ytETpw4ICEh4ebLiiHEiVKSNu2bWXFihXmtl5rd1irVq2c++j+/v7+ptXGsc+1114rQUFBzn20JWfXrl1y9uxZ5z6uz+PYx/E8mTmWlMaOHWv2cVy0Sw5A2s5fTOLUAPB6uRqENHiosLAwt+1623GfXpcvX97t/sDAQCldurTbPmk9hutzpLeP6/0ZHUtKI0eOlKioKOfl8OHDWT4HgFX4+/l5+hAAIMeYkclFcHCwuQAAAGvI1RahChUqmOsTJ064bdfbjvv0OiIiwu3+xMREM5LMdZ+0HsP1OdLbx/X+jI4FAABYW64GoRo1apiQsXDhQrcRYFr70759e3NbryMjI81oMIdFixZJcnKyqd9x7KMjyRISEpz76AizevXqSalSpZz7uD6PYx/H82TmWAAAgLVlOQjpfD8bN240F0dRsv586NAhM6/QU089Ja+99pr8+uuvsmXLFunfv7+Zc0iHtqsGDRrIjTfeKI888oisXr1ali1bJkOHDpV77rnH7KfuvfdeUyitQ+N1mP2MGTNk/PjxMnz4cOdxDBs2TObOnSvjxo2TnTt3muH1a9euNY+lMnMsAADA2rJcI6Rho2vXrs7bjnAyYMAAmTZtmowYMcLMNaTzAmnLT8eOHU1g0UkPHb7++msTWLp162ZGi/Xt29fM9+OgI7bmzZsnQ4YMkZYtW0rZsmXNxIiucw116NBBvvnmG3nppZfkhRdekDp16pjJHRs3buzcJzPHAgAArMtPx9B7+iAKKu1K01CmI8h0FmwAl41fsEfeW7DbeXvs7U2kX5uqnCIgD1R//ndz3af5VfLe3VdLt3FLZN/JczLj0XbStmYZznkOPr9ZawwAgAIu0N8+XcXJmHhPH4rPIQgBAFDAlQ6xTzDcoTatP7mNIAQAgJfoUtd9QmLkHEEIQK4Y+dMWziQAr0MQApArqpcpypkE4HUIQgBypHiwfRYO1h4D4I0IQgBypGJJ5uUC4L0IQgAAwLIIQgAAwLIIQgAAwLIIQgAAwLIIQgAAwLIIQgAAwLIIQgAAwLIIQgAAwLIIQgAAwLIIQgAAwLIIQgAAwLIIQgAAwLIIQgAAwLIIQgAAwLIIQgAAwLIIQgAAwLIIQgAAwLIIQgAAwLIIQgAAeKkZaw97+hC8HkEIAAAvc/jsBXO97+Q5Tx+K1yMIAQDgZaqWLmquyxUL8vSheD2CEAAAXubhjjU8fQg+gyAEAAAsiyAEAEABFhOXIBEx8Z4+DJ9FEAIAoABbtDPC04fg0whCAAB4iQB/P08fgs8hCAEA4AWuqV1G6lUo7unD8DkEIQAAYFkEIQAAYFkEIQAAYFkEIQAAYFkEIQAAYFkEIQAAYFkEIQAAYFkEIQAAYFkEIQAAYFkEIQAAYFkEIQAAYFkEIQAAYFkEIQAAYFkEIQAAYFkEIQAAYFkEIQAAYFkEIQAAYFkEIQAAYFkEIQAAYFkEIQAACrDwqDhPH4JPIwgBAFCAjf1jp7lOTvb0kfgmghAAAAVY46tCzfW6Q2dT3bdgR4ScOXfRA0flOwhCAAB4gQ8faJnm9qgLCfl+LL6EIAQAgJepW6G4pw/BZxCEAADwMi2qlpLihQM9fRg+gSAEAAAsiyAEAAAsiyAEIFuW7I7gzAHwegQhANmy4VCkub6YyOQmALxXrgeh0aNHi5+fn9ulfv36zvvj4uJkyJAhUqZMGSlWrJj07dtXTpw44fYYhw4dkl69eknRokWlfPny8uyzz0piYqLbPkuWLJEWLVpIcHCw1K5dW6ZNm5bqWCZNmiTVq1eXwoULS9u2bWX16tW5/c8FLKt4sL1QM8Dfz9OHAgAFq0WoUaNGcvz4cefln3/+cd739NNPy2+//SYzZ86UpUuXyrFjx+T222933p+UlGRC0MWLF2X58uUyffp0E3JGjRrl3OfAgQNmn65du8rGjRvlqaeekocfflj+/PNP5z4zZsyQ4cOHy8svvyzr16+XZs2aSY8ePSQiguZ8IDc93rkWJxSA18qTIBQYGCgVKlRwXsqWLWu2R0VFyaeffirvvvuuXHfdddKyZUv5/PPPTeBZuXKl2WfevHmyfft2+eqrr+Tqq6+Wnj17ypgxY0zrjoYjNXXqVKlRo4aMGzdOGjRoIEOHDpU77rhD3nvvPecx6HM88sgj8uCDD0rDhg3N72gL02effZYX/2QAAOCF8iQI7dmzRypVqiQ1a9aU++67z3R1qXXr1klCQoJ0797dua92m1WtWlVWrFhhbut1kyZNJCwszLmPtuRER0fLtm3bnPu4PoZjH8djaGDS53Ldx9/f39x27JOW+Ph48zyuFwAA4LtyPQhpLY52Zc2dO1emTJliurE6deokMTExEh4eLkFBQVKyZEm339HQo/cpvXYNQY77HfddaR8NLhcuXJBTp06ZLra09nE8RlrGjh0rJUqUcF6qVKmSw7MBAAAKslyfllK7shyaNm1qglG1atXk+++/lyJFikhBNnLkSFNX5KDBijAEAIDvyvPh89r6U7duXdm7d6+pF9Juq8hI+7BbBx01pvcpvU45isxxO6N9QkNDTdjSmqSAgIA093E8Rlp0BJo+husFAAD4rjwPQrGxsbJv3z6pWLGiKY4uVKiQLFy40Hn/rl27TA1R+/btzW293rJli9vorvnz55tQokXPjn1cH8Oxj+MxtPtNn8t1n+TkZHPbsQ8AAAXdodPnZetR6lW9Kgg988wzZlj8wYMHzWiwPn36mNaZfv36mbqbQYMGme6nxYsXm4JmHdWl4aRdu3bm92+44QYTeB544AHZtGmTGRL/0ksvmbmHtMVGPf7447J//34ZMWKE7Ny5UyZPnmy63nRovoM+x8cff2yG3+/YsUMGDx4s586dM88HAIA3OBp5wdOH4PNyvUboyJEjJvScPn1aypUrJx07djRD4/VnpUPcdQSXTqSoo7R0tJcGGQcNTbNnzzbBRQNSSEiIDBgwQF599VXnPjp0/vfffzfBZ/z48VK5cmX55JNPzGM53H333XLy5Ekz/5AWSOtQfC3gTllADQCAN6hSqmDX2XqrXA9C33333RXv11medU4gvaRHi6vnzJlzxcfp0qWLbNiw4Yr76PxCegEAwJvVKV9Mapcv7unD8EmsNQYAACyLIAQgV+w/dU7OxbuvCQgABR1BCECuWbn/NGcTgFchCAHIkcAAVp8HPOn3zcf4A+QAQQhAjjSvUkqaVXFfNgdA3ouJs3dF7wiP4XTnAEEIAAAvFOBvb40NLVzI04fi1QhCAAB4oWHd6nj6EHwCQQgAAFgWQQgAgALq7z0nPX0IPo8gBABAATVv+wlzHR2X4OlD8VkEIQAACqiqpYua66gLBKG8QhACAKCAe/XWxp4+BJ9FEAIAAJZFEAIAAJZFEAIAAJZFEAIAAJZFEAIAAJZFEAIAoACKiUuQRTsjPH0YPo8gBABAARQRE5+p/dYePCNJybY8Px5fRRACAKCAKxcanGpbss0efvZExEpcQpIHjso3BHr6AAB4n02HIyUmPtHTh+EVZq49LPO3nxA/P5EPH2jl6cOBFypRpJB0rVc+1faQID7CcwNnEUCWbT8ezVnLpPWHIp3rRcFu8c4IWfvvGTkXnyQDOlSX07HxUrxwIaletqgEBwZwmjLpgfbV5PU5OzhfOUQQApAjxQvzNnIl8XRZGMnJNll36KzcOXWF2/mZtvyg8+fKpYrIXa2qyP3tqknpkCD+ZyJf8A4GINu6NwiTMsVS1y7gsp82HLX86dDRT2/M2Snfrj50xXNx5OwFeXf+bnNRE/o1lxsahdFKhDxFsTQAIM9oEW/LMQvSDEENKoZKpzpl0/3dJ7/dIO/N3yP7TsZa8i/01tydnj4ES6BFCACQJ9b9e0b6TnHvCmtTo7SMu7OZVCld1G17QlKy7DweI7dPWSYJSZeHgk9dus9cPh/YWrrWT10w7Mu0bkpFXUjw9KH4NIIQACBPCqIfnLbGbZu2/nw5qG2a+xcK8JcmlUvIntdvMnPi1Hphjtv9jsf6e0TXVCHKVwX6+5nrGxqGefpQfBpdYwCAXPfmH+7dOu/c2Uy+eKhNpn43wN9Pdo65UTaNuiHVfZ3eWiwPT18j4VFxYhVNK5fw9CH4NIIQACBXHTl7XnadiHHe/qBfc7mjZWXx08mUMqlwoQApUbSQ/DGsk9QqF+J234IdEdJu7MJcPWZvp12LyB6CEAAg10SdT5Ah32xw3p56f0u5tVmlbD+eFlQv/G8X+e/1daVccfcRim3fWCCHTp8XX3ThYpJ8t+ZwpvefvGRfnh6PLyMIAQByzaEz583M4w41yrq35mTXk93qyJoXu8uzPeo5t52Ijpdr316c4bB8b5SYfLmFx7V4PD1Fg5iIMrsIQgCAXJGYlCy3TPzHefuNPk2kXoXiuXp2H7qmhtySooVp5E9bZMqSfXLm3EXxRdfUTnuKgeBAf9PliJwhCAHINVuORnE2Lez7tUfcbt/btmquP0eRoAAz0eKIGy+3DKn/zd0pLcbMl5OZXLHdmzSrknaxtNZcFS7Ex3hOcQYB5NjFRHsz/qd/H+BsWtgLs7Y4f558X4s8fa4nutSWZc9fl2p769cXyLh5u0zrlDfbf/Kcpw/BMghCAHJsb4R9hFDDSqGczSs4eMp3P9yW7Ipwu319Psx9c1XJImZUma7O7mrCor1mYWBvDkOzNx/z9CFYBkEIQJZpN4Sr9+6+mrOYCQt2+O4q9AM/vzx54peD2pgJEvODjirb9PINcn879264WycuM3MOeeuw8iJBl+c79pPMTzuArCMIAcgy26VBLMejLnD2IFtT1IZdXaVkvp+V13o3kf1v3OS27XhUnDR/db6cv5go3uafPSfNdf/21SQoMOOP6vcX7MmHo/JNBCEAWVamWJC5blezDGfvCpKTMx727Av6Tlnu/Pn1Po2da2TlN39/P/lxcHu3bbHxidJw1J8SE+dd63WtP2SfgiCjFq2z573r31UQEYQAZFuPRhU4e1fw2bLUxePvzd8tY//YIX9sOe4zrUHxl4rlVcd0hnrnl5bVSpuWoW4pFmhtMnqeLNrpPV2TRQo55gW6creY43yHMI9QthGEACAfjV+4Rz5cul9mb/b+IKRdTjdPuDxv0Ft3NJVqZXJnAsWctgx9OrC1DL++rtv2h6atTbUGWkG0fN8puZCQZH5+okutK+57TS3PBk9fQBACAA84Fev9890s33s6UxP/ecp/utWReU9f67Zt6tJ9Uv353+VsAZ58kaHz+YsgBCBLtGYhNi7rxaerD5yRfh+tNJc9Lgtywns9/MVa589fP9zWDGcvaGqVKybT01j1vvmY+RIRXTBXsI88fzmkhaaYGiA95y4mybxt4Xl4VL6LIAQgS/7ec1IisjF7ry5/sGL/aXOJife+UTy5Idkx3E5EVh04I3GXuj+80bvzdrnd7lCrYBbOB/j7See65WT7qz3Mkh+u2ryxUL5e9a/YXP4uBcE783ab6x6NwlLNkXQlp2ILbitXQUYQAoB8MjPFEhS6Yvh3Xrpg6AeL9jp/fqlXA7PcQ0FWNCjQLPmhdUyuXpy1VWqMnCMbXRaK9aRd4ZdbSzcfyXjJmrLF7SM4kX0EIQDZUr9CcWlVrZTbNp3N98LFjFs53p7r3ppgVR8s3COv/75DvG1KgC9WHHTbdnfrKuIt7mpVRVaO7CYpc1vvSctk2rIDHm8d+vf05dnHJ97bPFMB74Z8mMXblxGEAGTJR3/td658raNzXMXEJcreiNhMLZyJS+fMy7oJpyzdJ6N+2ea8/dvQjlmbNyguWiRip8jGb0Q+7CzyeS+R/1UX+bafyJSOInsXisRn/BrKiQolCsuBsb1kcIoRWaN/225ahzw5UeijX65z/hwWWjhLvzt5yeVWOmTe5Tm8Abg5FnlBJiyyz9Z6d+uqHpkttyA6fakO4d8z553bCgdmLdhYdcXsi1663IOD1jS9/efl1rxrapeRuhWKXfmXzp8ROXdSZO1nIqumpr/frjn2669ud99ep4dItQ4i9W4SKVtHl1yX3PLcjfXl5qYVpdcHl6cAUO3HLjL3PXptTVNj5KkZuiuXKpqp3zt5aQRidmr3QBAC0hV5PkG+XX3Y/DxnS7hZz8jbPrSiLyTI2n/PyvTlB2X3iRgzC21YaLCciL78htmpTllpVrmkJNlsUqVUUbm5WUUJTecb/pYjUbLnUotP08qXg2H3hmFSqURhORaV/iicx7+6/E3Xqv49fTk8OlQvk7kPu4LQJdb/09Vu275+uN2Vf2np2yKLX8vZE+/5035Z8LL9dssHRZreZQ9HuaBRpRKy67Ub5dEv1snS3fZlLRzr6ell/D1Xy21XXyX5YdLiyy06b97uXth9JfUrhMqGQ5EFctSeN6BFCEiHax1E6ZCCXZAYn5gkc7eGyzMzN0lC0pVrHFxDkPp7zylzcXhh1hYpExIkpy/Ns6LfinXOm2V7T7n97p0tK2fpGFtWKyXr/j0rVvJaJup/jkXGmbqqgt5duHBnhKw+eCbj+pXEiyLzXhRZ/VH6D1azi0irh0QqNBEpXdO+LeaEyOFVIlt/ENmzQCThcq2Mm3Wf2y+qUguR1g/bg1FA9pf1CA4MMEPstUXGdYJINey7jeYyoV9zuaVZJckrOq/RH1svD3/v1bRipn/39hZXyberD8mBU+dkx/FosxAtMo8gBGRiKGpIcMH6kIqIiZOTMfFmhMnw7zdl+vfKFw9O1XxeqmihVOsVOUKQa01QSt0auC9hkJGCPaYob6R1vtPqLvtn7ym5voAWvGrL4sDPV8vK/ZdDUPOqJeXmpmmEguObRT7slPYDDVktUrKaSKF06l6Kh4k0vNV+Sen0PpEJLVJvP7Ze5Jcn7JewJiI9/ydStb1OLS3Z0fiqErLvjZvkx/VHZMQPm93ue/LbDTJm9nZ5oF01eaJr7VztMtPWtvs/XeW83bp6qWyv13b07AWCUBYRhIB0FC98+b/H1qPR5htbKQ+1DOkkhjrMWleYdg0pV6KlFNpkrt9ka5cvluHja6g6GnnB1EbtOxkrX61Mf1j3guGdzWiVtExZulcm39cyU8fo6xzlLC/e1EBen3O5dahyqSJyR8vKBXrF8NOx8fLlyn/TPMbvHk3RJZacJPJ9f5Gds1M/0E3viLQcmKMWGylTS2T0pfqZHb+JLJ8ocnil+z4ntohMu7T6fIcnRa77P5HA4Cw/lQYcHVl2fYMwueejlbLLZfJPDbXj5u82l9lPdjTBKTfsCI+WbceinbdfvqVRln6/kkuX2Lzt4aarGplHEIJPOnzmvOnKUfqmULZY1t8QU9oZHiPt82HSOA0j245Gme447fd/Z94ut0Ut09O+Zhl5vmd9aZaNou5CAf7mTd31jf213vYahagLCc5RNNXLhEhh52KQ7hz1QfEJGR+r1lx5Mljmt5JF3UOAv5+fPNW9rqlJ0b9xQaFDt1/6eatbV6mrcsWDZd5T15quJKeYcJFx9VLvXKubyAM/5f5BNrjFfklKFNm3SOSbO1Pvs3yC/aJu/J/I1f1ECmcttOhr88+nrzXvJb9sPOqc5NDB0YU25b4W0qp6aXNuskNnWXct1g4tHJjlgKW1QTXKhpiuscW7Ltc5IXMIQvBJnd5a7Py53rKD5g0tq9+GZ204Knm5WOXxqDiZs/m4+XbpeBPL6pvfiBvrSYuqpUwLQ15NaKcz22Zmdts21UubGpLouARJSra5dR2ER8WZom1X5y4mWiYIpZRyUr/8pt2q2r267Wi0fLXq3wwn7isaFCCT7m0hXVOs6C6HVol8lsYggkHzRaqkXtYiVwUEitS94XJL0YavRH4Zknq/uc/ZL+qheSJV22bpaaqULipDr6sjQ7rWlke+WCsLdkS43T/46/XmWl/uK1/oJmVCgjPVbab/R7Sub8g39t93WD6yW5aOz/XxHH9bbdV1bSXClRGE4HO2uzQxq5rlsr4adlrlxot2nshyi5C+Oem8OqsOnJZV+8/I71vSXnE8vRBUKMBPQoIDzQi2hzvWkLY1y0iXeuVMC05Bc2PjCiYIrTl4VjYePistq5V23nfMg/OyeIp+yKUsTE/P2D925EmN0P6TsbJk10l5Y84OSbz0QZkVWhCtIwq1tcOtJVDn+Xm/iciFy3VDRp0bRO751h5S8lvz+0Wuvk/k9F6RxW+IbEujNcoR2hreJnLDayIlq2b64fWLxicDWptu5Hfn75YpS/a53a+nt83rC83PD15TXYoHB0rJokHSqFKoXFWqiBkKr5M1nr+YZGrCHnOZL8jhi4faSLHg7J07He7vCFU6spMglHkEIficCynWb9KRGNrCUyYL3WOObjUVFOgvFxOTTTfGi73S/x19k9NurU//OSCfL3OfeTezdGi7ruCtrT0DO1Q3b6T5OY9JTrge5+hft8uvQ68p8Msu5NecQTXLpV2jteeEfSqCoGwGW31drj90VmatPyqNK5cwM1UX8ve74jQGadGCef2wvrNlFdO12qyyvWsm1d9Pa4GObRT55LrUDzJwjkj1a8Sj9Hh1rqE7Pxe5+T2RYxtEfngodWDb/ov9ovr/IlK+kUixcpl6Cv0SoqHjP9fVkS1Ho2TkT5tl30n3LzLZ+f+vE1M2uXTes8P1C9/rv2+XznU7Z/uxrIYgBJ8za4P7ek4qLhM1Nq7WuAwT1hmU9QNn94lYmb/9hPObu37b1nD0ym/bzW2tQ9Jh5plRtliQdK5bXm5pVtGsjq3N795uQIfq8vKv9hmH9QPiwWlrZNqD9u6Rvy7Nz1KldBGJiI7PVM2Tt9OpDBx/a20VeLxzLdNSpqOvHH9vbUX7Yd0RU38WdT5BSqSoJXKdvym4kL+pVQkKCDBTO6Qsmp+x1j7nVWZoobZ2x+rSGNoCkV7dl5uL50XGVhaxpVhCpdm9In2mSIFTpKRIra4izx2wT+q4bZbI78NT7/fFbZd/vu4lkWb9REpkPDWETnfQpkZpWfjfLpKYlGz+jm/9ucssLpwVT3evK0Ovy/koNNch8/pepV3U6c0HBnd+Nk8vrFKARUdHS4kSJSQqKkpCQ5mXwRvExidK45f/TLW9Z+MKMuX+zI1kWrHvtPT7+PKIlLf6NpURP7oPpc1o8kBXdcOKmbCjQUHX5grMr26t5GSRI6tFki6KbP1RZN209PctU9vepaCa3Gn/5t/sHpFy9e3dB7ZkEf+MPyxH/7pNpi13/zb8Wu/GpgDXMRJPQ6UGoXtaV5E3+3q2Viav6FwuPcf/bX7WOZnW/d/1ae43Z8txeeJSjYm2wmgNToXQwvL8T1tMK1F2Z6LW59QFRnWywFrlQkzwylTYcaXdXwf/Ftm7QGTNJ2nvc9+PInW6i1fR+YrWfiqy9H9X3q/z8/b/F9qNpiPeMtm6qe9Bh06fl81HImXutnDTNenQvUF5OXTmvBmCX654YfOlKjdbfD9fdsD5xezZHvVMXZNVRWfh85sglEsnEgXD92sPO+f/SBlWFv23c5pdFNrnryN3flx3JNW36tubX2WGsjZ7dV6muhfevqOZWcdIv21rbU++0W+8OqxY3+CPZ35eoSwpUUUksLDIw/NFirgvtuqgIefatxZLeHTGIfG+tlXl9T6Znz23oNLWAEe41RFGOuTcde6l/3SrI8Ovr5vm7y7fd0ru/fjy/DFZpTVkNzSsIP+9oa553aU3pYEb/e6rS15ciBTZ9bs9GOjw9DMHRFZOsu9TuY09RKenUR+RO68QrL3FyV0i02+1h5yYtOv3jAa3itz4pkiJ/JlhOru0JfvOqSuctw+Mvcmy3dPRBKH8P5E5cvAfe1+2Y/4LZMuq/afl7o8ut+RMe7C1zFx7xK1AWUdX6QiYumHFZfbmK7zxXbL6hW5SPrSw+YB7ePpaKRocYD5H9Bv2tXXKSr0KxU1rT5FCAakWIM1zF8/Zv63r/C05ERAkEnqVyNkDWf/d5g+IdB8tElLWbUTcq79tl+/WpO6qefeuZuZvsmL/aXN792s9TQ1WbtJGbi0M1jlfEhKTzeg/Lfb9deMxSUi2h97M0BaaTS6jqbQbZPWBFLUmmaArnWtISU+vD/52m0MmLTXLhphv+K1rlDbBXVuNUn3A6Qvz5E57Dc/uufa6GA05FZuJbPnevo8GWZWYtRoip+tfta/9Va5erq75VSBoC5gWWTvC4JVcM0yk64vZmqcor9V98Q9nS2K9sOJZHjHrKwhCHjiROfL7MyJrPrb//NCfIlUzWL/H4nQ5iegLibLlaKT8ufWEmUAs5czI6uCbvWTT4Ui5bdKyLD+H1nR8MqCVVCxRgIagxseIHFwm8s97qSeTS0uJqiJtHxOp2FSk2jWZ6tpy+1Ddt1Bk7yL7Qpkp60LS0+dDkfINRELKy7ngcqZQXUfNafjULoMXbmogr/y2za2Y9P27rzbnW2us0htO75jLSGtltGtBw6nWax2PvOBc+8xR1F6Q/PB4ezPHTGbCm65Cr3Mw6etbpytwjB7y09By4azI2X/twVeLgY+us8/SrEtZBBUXKVZe5Iz7KKYsa3qPfbSXDkPXFqEuz9lDss7UnJPJEL3V3oWpF4BNS6tBImGN7GugZXNG69ykS22M/GmL83b3BmEy9f4W+dclX0AQhDxwInPkp8dENn9n//mqViK3f2RvqvZh5+ITzbdgLSzULqWGlUKdU8rrN97z8fYhpnsiYmTxzgjnN/N2NUu7TfWfFi1u1pmPHQWp/+w5JePm7zItATrDsn4w69DW4EIBzuLml3o1MKO1tEsr0N+vYLxpaBjR2pz4aHuNxqIMFq/UD68er4tUbp1339bDt9pXCV/8eub21xXD2w8VKVVNpHgl80Gh0xvc9IG9fiYjTSuXyHCOm6zSOi3HnEYNK4bKna0qy8FT58wIPS1+11m1+zS/SuqEFZd528Jlx/EYqVO+mFQvW1QSk2xSvWyIrNx/2hSi6qSXHWqVkR/XH7UvXlulpIQEBZgRivq6zlS3ROxJkRNb7d2aGmo2fSvSor/I+ukipWvlPOD4B4q0e8LedarBuHxDkaJl7LVjeq1/G1z5/6Gj5TUh9aK5qbQbInL+tL3GTou1PdBVqy3jruv66Wty1Yvdsz003xsRhDxwInPkt2GpC1kfWSxHQxqYwLAvIlYmLt7rbD7X7p0jZ7M+L4sWTRYrXEhOxcSbYd76rVO/aasmV5UwzfcxcfrNO8509ehIFnVN7TLycMeaJrRoIax+69Zp57XuQd8jtBh467Eo03qy/+Q5mbn2sLSrVUZi4xLNN339LKhRtpgZ6eJ4zLxydZWS8s0jbTNXK1EQ6YKV+qH4z7v2D66MdH9FpPUgkeDi4rEai1+ftC+WWayCSOzlRSPTY6t7o5w+tFM+jWkn85Jbyj5b7tRdXFu3nAk2OlqmQYXiZhSNdhHohJNZLhROiEt/TSxX506JJCWIFA4VidgpcjHWXn+jH4SxEfbh5DoDsoabhAsiu/8QqdBUJNy9+D7LtIA98pB96YotP4i0HyJS90YRP3978NFWOf3Z17qvPE3f8KKPimz6TmTRmKz9rhZd6wKxNa712KCRrwa1NV8mC8QXvTxGEPLAicyqM2fOyJIlS6RPnz7iN///Lk8Hn4Y5SW3kf4n3yBFbOUmSgrX4pyfoHB46uWG7mmXkpiYVTT94vtfn5FRivMi66fbQo9/8s6L3FPuHXlAxkcACNjOzduHMeMA+2igLbH4Bci6kihSLtXeZxfkFS1TxurI8uKP0jP1JzpVpIkmxp8S/ckspHrVLglv1t4cODRhV2oqsmGgfxq0tq7dNsi+nkJxor5dJThA5stbepVREu6ls9mUhNs/I3MEVLikSl4/LYFTtYH9d1O5m/+Bt84g9RGno0oVJtdVYgxc8T/8++rdZ/aHIgb9FzkWIhF/ulkqX1m3poIbiFe2tcsUr2AOSTgipt3MhwOpkrv0+WmkmOU3LvKevNS2dfh4Oy9otPGvWLOnSpYuULp1xN3JmEYRSmDRpkrz99tsSHh4uzZo1kwkTJkibNm08EoQ0AL333nsyfvx4iYmJkc2bN0uT4zNMEIoqVE5KJGR9nZi5Sa1lv62iuWxPriZxEiSnbKESJ8FyUfKnb19bkFJOZJgZneuWM11VOtT3yxX/ysib6ku1MiHmP8eFi0lmdlStG8nMEg9uw8a1pkWHgJvrRPvPsSfsNQ9KuwUOrRAJDrV3PVVq4b5/xHb7N+uQcvbuKUc3lX6IOm9f+lm7NPRbfmglkYWviNTsIlKmjv15tv5g/yDVb/DacqDPe3Rt1k5Sj7H2UTo6UiszrRQFLRhprcUfz4mcT3v9Kp9X8Wr7a8n1767dU/o6a/2IPdTojMyFitgv8G76/3z/EpE980RWf5T9x9H3Hv9CIu0G24OxvkZ0UENwMZFyDTI9e7frSNr01sErVyzYtPDrqFodWKBdvvlly5Yt0rRpUylevLgMGzZMnn766VwJRAQhFzNmzJD+/fvL1KlTpW3btvL+++/LzJkzZdeuXVK+fPlcO5FZCUBJSUnSs2dP+fHHH2XdunXS+MSPErRqokxLvEF+SLpWxhWaKvX8U08KmFMJhctKVJ0+UmT/XAk5d1hsfoHmDfp8qXoSfHaX7AxpI/XjNkngxSg5VbGzlD2+VDYV62haXAID/CTSFiJFT2+Xome2SVKhEDnSeIhU9DsjQbZ48608Ivq8nIiOEz9bsjQ69Yf4VesgsuFrsSXFi63tYIlPtIlGiQB/fykcc1hk41epi3s1lDS42V6wGdbY/h/fIeqwPaA4lK5pDyMmnNhEIv8Vr6ZvenV72Os5dBSWFsN6W/DJDP0GHRdlH76t34q19UZrMLQ76dBKex2G7pMUL1K9k8iJbalnBnb9sNCuKFeVmtuDh55PLRDX59GVyfX1otv1A0Wt/cy95kPDsBYm6+Npy9HZgyJtHxUJLGI/Rp2LSbshNUzrKE/9Nq9dXxpQdfoCLVjWUVlaWKyhWkcUearLEgWPvuZ1bTYNMF/faS9Cz2LLqZtSNVKP9Kx9vf01p6/Dej0vtX6ekORa3WTX0ZNy97eHzBfli2Yu5YxbgjrUKmNKJrTMQQcj6LxHgf66QHOomf9IL2HFC+eoRX79+vXSsmVL6du3r/zxxx8SEBCQK4GIIORCw0/r1q1l4sSJ5nZycrJUqVJFnnzySXn++edz7URmNgANGTJEnnnmGTly5Ij5489+d4j0ivrS7PthYi8Zm3if+blV6XjpVj1QGhc5I538NttbHZB7tPlZP3gdTCGvfngGXLoEikQfF4mPsne96JuGqbm4VHfh53Jb79MpEPSDu/7N9g9eDXTafaW0uVyH5uqK2fohqt1Z2lWjH8j6oU0dB2BNWj+WeMHeshx9zD4yUJf+0O5cbU3V9wsdnJBHTvmXlXOJ/qbnoI7/UYm2FZU9tqskUQKkrf9O2ZdcUbbbqpnbibYAc31bwHKZk9xWomwhkix+YhM/8dP3QVuS9Cq0Tn4qdLPz/fFEzEWpExYq/v7+4uevU4z4y8EzcVIkKFAqlw4Rm/jL/kPH5PlX3jWNApUrV5Z33nnH9OLkNBARhC65ePGiFC1aVH744Qfp3bu38wQNGDBAIiMj5ZdfLq01c0l8fLy5OGgAqlq1qhw+fDjLQUh/V7vgtCXKNQA5WqEcKXjpwKJydQV73c/3iZ3kSLtX0p18LV2Rh0WOrBHZ9ov9Q1z/U+nQZ/1GnOwy3XvbwfaumZShKrSy/QN552/uhZgOtbrbv+VqQWzKb+Zl6l6ajt4RDC5dqz1z7dfabaT/yXWlaDOP+aUWHMdIOaWtP6f22FtDNChoENE6Dv3GrjURDtpyoPtVay/SSIe26vPpHZfCiRYbayuKjoTxuxRq3K59v0gQgI+GJm0Vd9Sr7VtsbzHX+jhtvdT3VR11qOFJ6+H0/Vq35XeNWxb9Hl5G7p120AShFi1amG0RERFugejxxx83jRfaMJGVIKSNHvpZn+Hv2XzY0aNHTb/J8uXL3bY/++yztjZt2qTa/+WXX77Uz5J7l3Llytm2bNmS6rnWrVuX68/FhXPAa4DXAK8BXgPe+BpYt25dqs9J/ezUz9CcPO7hw4czzApeOsY4b4wcOVKGD7+8KJ92o2nXVpkyZbJcWe/aIqTdcylbhByWLl0qV199teQl7Rpcs2aNxx8rq7+b2f0z2i+79zu+UWSnRdCTcvPvnV/P5Y2vq4z24XXl3e9ZBfV15WvvWRs3bpTOnTu7bdMWIR3gNHnyZNMi9Oyzz2a5RchMUhoTI5UqVcpwX58OQmXLljUn8cSJE27b9XaFChVS7R8cHGwurkqWLJmt59YX4VtvvWXqkBw1QtrM5whEDsWKFcvzF6yeg9x6jpw8VlZ/N7P7Z7RfTu/X+7zlTSW3/9759Vze+LrKaB9eV979nlVQX1e+9p5VrFixdAOQNkzkpGg6s8HJpwsmgoKCTB3OwoUL3Vp59Hb79u3z5Rj0DzhmzBg5ePCg+aNqC1GNGjXkjTfekPyi4asgPFZWfzez+2e0X07v9zb5+e/JrefyxtdVRvvwuvLu96yC+rrKynN5kzfeeMN8Nn744Yfms1I/M/WzMzfnFrL08HktjtaTq3MH6fD577//Xnbu3ClhYWH5fjxpziPUxPtX4PZF+TazOCyF1xV4beX9PEJZ4dNdY+ruu++WkydPyqhRo8yEilqPM3fuXI+EINcWIv1j68zSjRs39shxIGPaTfryyy+n6i4FcoLXFfKKN762GjdubObUy+2ZpbPC51uEAAAALFkjBAAAcCUEIQAAYFkEIQAAYFkEIQAAYFkEIQAAYFkEISAbZs+eLfXq1ZM6derIJ598wjlErunTp4+UKlVK7rjjDs4qcoUuuaHD0xs2bGjm7Jk5cyZn1gXD54EsSkxMNG8oixcvNhMu6uzly5cvN2vSATml84vpZKvTp0+XH374gROKHDt+/LhZWkrn0dP59PQ9a/fu3RISEsLZpUUIyLrVq1dLo0aN5KqrrjLr5PTs2VPmzZvHqUSu0G/uOssukFsqVqzoXNxb19nUdTh1lQPY0TUGy/nrr7/klltuMasS+/n5yc8//5xqH10gt3r16lK4cGFp27atCT8Ox44dMyHIQX8+evRovh0/fPe1BeT162rdunWSlJRkVqmHHUEIlnPu3Dlp1qyZeeNIb306XfRPp6pfv3692bdHjx5mZWSA1xa89T1LW4H69+8vH330UT4duZfQJTYAq9L/ArNmzXLb1qZNG9uQIUOct5OSkmyVKlWyjR071txetmyZrXfv3s77hw0bZvv666/z8ajhDbLz2nJYvHixrW/fvvl2rPD911VcXJytU6dOti+++CJfj9cb0CIEuLh48aJpOu7evbtzm7+/v7m9YsUKc7tNmzaydetW0x0WGxsrf/zxh/n2BeT0tQXkxetK89PAgQPluuuukwceeICTnAJBCHBx6tQp038eFhbmdl70to62UIGBgTJu3Djp2rWrKUD873//y4gx5MprS+kH2J133ilz5syRypUrE5KQ49fVsmXLTPeZ1hbpe5ZetmzZwpm9JNDxA4DMu/XWW80FyG0LFizgpCJXdezYUZKTkzmr6aBFCHChw0oDAgLMnBuu9LYOOwWyi9cW8gKvq5wjCAEugoKCzGRjCxcudG7Tb1J6u3379pwrZBuvLeQFXlc5R9cYLEcLnPfu3eu8feDAAdm4caOULl1aqlataoahDhgwQFq1amUKo99//30zfPXBBx/06HGj4OO1BV5XXsjTw9aA/KZDk/Wln/IyYMAA5z4TJkywVa1a1RYUFGSGpq5cuZI/FHhtwSN4z8pbrDUGAAAsixohAABgWQQhAABgWQQhAABgWQQhAABgWQQhAABgWQQhAABgWQQhAABgWQQhAABgWQQhAABgWQQhAABgWQQhAJbSpUsX8fPzMxddbNdTBg4c6DyOn3/+2WPHAVgdQQiA5TzyyCNy/Phxady4sdv28PBwGTZsmNSuXVsKFy4sYWFhcs0118iUKVPk/PnzmXrsW265RW688cY07/v7779N8Nm8ebOMHz/eHAMAzwr08PMDQL4rWrSoVKhQwW3b/v37TegpWbKkvPHGG9KkSRMJDg6WLVu2yEcffSRXXXWV3HrrrRk+9qBBg6Rv375y5MgRqVy5stt9n3/+ubRq1UqaNm1qbpcoUSKX/2UAsooWIQAecfDgQdM68uOPP8q1114rRYoUkdatW8uhQ4dMy0m7du1MYOnWrZtERkbm+fE88cQTEhgYKGvXrpW77rpLGjRoIDVr1pTbbrtNfv/9d9PSo5KTk2Xs2LFSo0YNc8zNmjWTH374wfk4N998s5QrV06mTZvm9vixsbEyc+ZME5QAFBwEIQAesWnTJnOt3U7aArN8+XI5ceKE3H///fLmm2/KxIkTZfHixWY/bUnJS6dPn5Z58+bJkCFDJCQkJM19NLQpDUFffPGFTJ06VbZt2yZPP/20OealS5ea+zVM9e/f3wQhm83m/H0NQUlJSdKvX788/bcAyBq6xgB4hBYqly5dWmbMmCFlypQx2zp37iz//POPCRjaGqS0lUhrd/LS3r17TWipV6+e2/ayZctKXFyc+VlD0quvvmpC24IFC6R9+/Zmu7Ya6TF/+OGH5vjVQw89JG+//bYJR1qcrTTMaZcZ3WFAwUKLEACP0JaePn36OEOQ0m6xu+++2xmCHNu0G8oTVq9ebQJbo0aNJD4+3gQmLZq+/vrrpVixYs6LthDt27fP+Xv169eXDh06yGeffWZu6+9pdx/dYkDBQxAC4BEaMNq2bZsqHGltkIO2xuzatcvU4ShthXG0Dq1fv960sFxpe2bpKDHt+tLncqWtPXqf1gI56nyU1gzp8Tsu27dvd6sTUhp6tP4pJibGtAbVqlXL2WIEoOAgCAHId9HR0aZYunnz5s5tBw4ckKioKLdtOmJLu6x0BJdeR0REOEd76X06+iq97VmhrVLayqN1SefOnUt3v4YNG5qRZNpKpQHJ9VKlShW3fbXg2t/fX7755hvTYqTdZY46IwAFBzVCAPKdtvwEBAS4zePjqBmqVq2a2zZtSdHuJ+16cu0i08Cj3U867D2t7Vk1efJkM3xeh7ePHj3ahCkNMmvWrJGdO3dKy5YtpXjx4vLMM8+YAmkdPdaxY0cT3pYtWyahoaEyYMAA5+PpMWs338iRI03w0wkUARQ8tAgB8EgQ0sJknbTQdZtra5Bjm6NbTCch1JYhhw0bNpjb6W3PKg1c+rvdu3c34UWfV0PRhAkTTPgZM2aM2U+v/+///s+MHtMh9jp5onaVpVXHpN1jZ8+elR49ekilSpWyfEwA8p6fzXV8JwAUUK+88oqpA9Lh9tpK07VrV9PSosEkre3ampMWHcV19dVXy/vvvy8FgXaXzZo1S3r37u3pQwEsiRYhAF5BW3404GhLjRYfV6xY0dTfpLc9o24w7brSbjRPefzxx80xAPAsWoQAeAXthtKuK9futCttT8/Ro0flwoUL5ueqVatKUFCQeIIWeGuAUxre0pvIEUDeolgaQIGnI7m0uDpl2Elv+5XommEFQfny5c0FgGfRIgQAACyLGiEAAGBZBCEAAGBZBCEAAGBZBCEAAGBZBCEAAGBZBCEAAGBZBCEAAGBZBCEAAGBZBCEAAGBZBCEAAGBZBCEAACBW9f9f6Qsthl61MQAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "out[\"DoubleMuon\"][\"mass\"].plot1d(ax=ax)\n",
    "ax.set_xscale(\"log\")\n",
    "ax.legend(title=\"Dimuon charge\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In an analysis facility, all you need to do do scale your analysis, is connect to the facility's dask cluster"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "    <div style=\"width: 24px; height: 24px; background-color: #e1e1e1; border: 3px solid #9D9D9D; border-radius: 5px; position: absolute;\"> </div>\n",
       "    <div style=\"margin-left: 48px;\">\n",
       "        <h3 style=\"margin-bottom: 0px;\">Client</h3>\n",
       "        <p style=\"color: #9D9D9D; margin-bottom: 0px;\">Client-40302046-b51d-11f0-82f3-aae91076e0c2</p>\n",
       "        <table style=\"width: 100%; text-align: left;\">\n",
       "\n",
       "        <tr>\n",
       "        \n",
       "            <td style=\"text-align: left;\"><strong>Connection method:</strong> Cluster object</td>\n",
       "            <td style=\"text-align: left;\"><strong>Cluster type:</strong> distributed.LocalCluster</td>\n",
       "        \n",
       "        </tr>\n",
       "\n",
       "        \n",
       "            <tr>\n",
       "                <td style=\"text-align: left;\">\n",
       "                    <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:8787/status\" target=\"_blank\">http://127.0.0.1:8787/status</a>\n",
       "                </td>\n",
       "                <td style=\"text-align: left;\"></td>\n",
       "            </tr>\n",
       "        \n",
       "\n",
       "        </table>\n",
       "\n",
       "        \n",
       "\n",
       "        \n",
       "            <details>\n",
       "            <summary style=\"margin-bottom: 20px;\"><h3 style=\"display: inline;\">Cluster Info</h3></summary>\n",
       "            <div class=\"jp-RenderedHTMLCommon jp-RenderedHTML jp-mod-trusted jp-OutputArea-output\">\n",
       "    <div style=\"width: 24px; height: 24px; background-color: #e1e1e1; border: 3px solid #9D9D9D; border-radius: 5px; position: absolute;\">\n",
       "    </div>\n",
       "    <div style=\"margin-left: 48px;\">\n",
       "        <h3 style=\"margin-bottom: 0px; margin-top: 0px;\">LocalCluster</h3>\n",
       "        <p style=\"color: #9D9D9D; margin-bottom: 0px;\">4821f588</p>\n",
       "        <table style=\"width: 100%; text-align: left;\">\n",
       "            <tr>\n",
       "                <td style=\"text-align: left;\">\n",
       "                    <strong>Dashboard:</strong> <a href=\"http://127.0.0.1:8787/status\" target=\"_blank\">http://127.0.0.1:8787/status</a>\n",
       "                </td>\n",
       "                <td style=\"text-align: left;\">\n",
       "                    <strong>Workers:</strong> 14\n",
       "                </td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                <td style=\"text-align: left;\">\n",
       "                    <strong>Total threads:</strong> 14\n",
       "                </td>\n",
       "                <td style=\"text-align: left;\">\n",
       "                    <strong>Total memory:</strong> 36.00 GiB\n",
       "                </td>\n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "    <td style=\"text-align: left;\"><strong>Status:</strong> running</td>\n",
       "    <td style=\"text-align: left;\"><strong>Using processes:</strong> True</td>\n",
       "</tr>\n",
       "\n",
       "            \n",
       "        </table>\n",
       "\n",
       "        <details>\n",
       "            <summary style=\"margin-bottom: 20px;\">\n",
       "                <h3 style=\"display: inline;\">Scheduler Info</h3>\n",
       "            </summary>\n",
       "\n",
       "            <div style=\"\">\n",
       "    <div>\n",
       "        <div style=\"width: 24px; height: 24px; background-color: #FFF7E5; border: 3px solid #FF6132; border-radius: 5px; position: absolute;\"> </div>\n",
       "        <div style=\"margin-left: 48px;\">\n",
       "            <h3 style=\"margin-bottom: 0px;\">Scheduler</h3>\n",
       "            <p style=\"color: #9D9D9D; margin-bottom: 0px;\">Scheduler-5624041c-9ad4-43d0-81c0-ce9adac70d58</p>\n",
       "            <table style=\"width: 100%; text-align: left;\">\n",
       "                <tr>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Comm:</strong> tcp://127.0.0.1:56079\n",
       "                    </td>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Workers:</strong> 14\n",
       "                    </td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Dashboard:</strong> <a href=\"http://127.0.0.1:8787/status\" target=\"_blank\">http://127.0.0.1:8787/status</a>\n",
       "                    </td>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Total threads:</strong> 14\n",
       "                    </td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Started:</strong> Just now\n",
       "                    </td>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Total memory:</strong> 36.00 GiB\n",
       "                    </td>\n",
       "                </tr>\n",
       "            </table>\n",
       "        </div>\n",
       "    </div>\n",
       "\n",
       "    <details style=\"margin-left: 48px;\">\n",
       "        <summary style=\"margin-bottom: 20px;\">\n",
       "            <h3 style=\"display: inline;\">Workers</h3>\n",
       "        </summary>\n",
       "\n",
       "        \n",
       "        <div style=\"margin-bottom: 20px;\">\n",
       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
       "            <div style=\"margin-left: 48px;\">\n",
       "            <details>\n",
       "                <summary>\n",
       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 0</h4>\n",
       "                </summary>\n",
       "                <table style=\"width: 100%; text-align: left;\">\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Comm: </strong> tcp://127.0.0.1:56113\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Total threads: </strong> 1\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:56114/status\" target=\"_blank\">http://127.0.0.1:56114/status</a>\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Memory: </strong> 2.57 GiB\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Nanny: </strong> tcp://127.0.0.1:56082\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\"></td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
       "                            <strong>Local directory: </strong> /var/folders/2c/94kt72fs0_q_9nzr2y5jphb00000gn/T/dask-scratch-space/worker-tku6bjgv\n",
       "                        </td>\n",
       "                    </tr>\n",
       "\n",
       "                    \n",
       "\n",
       "                    \n",
       "\n",
       "                </table>\n",
       "            </details>\n",
       "            </div>\n",
       "        </div>\n",
       "        \n",
       "        <div style=\"margin-bottom: 20px;\">\n",
       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
       "            <div style=\"margin-left: 48px;\">\n",
       "            <details>\n",
       "                <summary>\n",
       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 1</h4>\n",
       "                </summary>\n",
       "                <table style=\"width: 100%; text-align: left;\">\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Comm: </strong> tcp://127.0.0.1:56110\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Total threads: </strong> 1\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:56111/status\" target=\"_blank\">http://127.0.0.1:56111/status</a>\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Memory: </strong> 2.57 GiB\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Nanny: </strong> tcp://127.0.0.1:56084\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\"></td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
       "                            <strong>Local directory: </strong> /var/folders/2c/94kt72fs0_q_9nzr2y5jphb00000gn/T/dask-scratch-space/worker-7rskj1y2\n",
       "                        </td>\n",
       "                    </tr>\n",
       "\n",
       "                    \n",
       "\n",
       "                    \n",
       "\n",
       "                </table>\n",
       "            </details>\n",
       "            </div>\n",
       "        </div>\n",
       "        \n",
       "        <div style=\"margin-bottom: 20px;\">\n",
       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
       "            <div style=\"margin-left: 48px;\">\n",
       "            <details>\n",
       "                <summary>\n",
       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 2</h4>\n",
       "                </summary>\n",
       "                <table style=\"width: 100%; text-align: left;\">\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Comm: </strong> tcp://127.0.0.1:56116\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Total threads: </strong> 1\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:56117/status\" target=\"_blank\">http://127.0.0.1:56117/status</a>\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Memory: </strong> 2.57 GiB\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Nanny: </strong> tcp://127.0.0.1:56086\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\"></td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
       "                            <strong>Local directory: </strong> /var/folders/2c/94kt72fs0_q_9nzr2y5jphb00000gn/T/dask-scratch-space/worker-inmnzm0i\n",
       "                        </td>\n",
       "                    </tr>\n",
       "\n",
       "                    \n",
       "\n",
       "                    \n",
       "\n",
       "                </table>\n",
       "            </details>\n",
       "            </div>\n",
       "        </div>\n",
       "        \n",
       "        <div style=\"margin-bottom: 20px;\">\n",
       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
       "            <div style=\"margin-left: 48px;\">\n",
       "            <details>\n",
       "                <summary>\n",
       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 3</h4>\n",
       "                </summary>\n",
       "                <table style=\"width: 100%; text-align: left;\">\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Comm: </strong> tcp://127.0.0.1:56124\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Total threads: </strong> 1\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:56125/status\" target=\"_blank\">http://127.0.0.1:56125/status</a>\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Memory: </strong> 2.57 GiB\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Nanny: </strong> tcp://127.0.0.1:56088\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\"></td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
       "                            <strong>Local directory: </strong> /var/folders/2c/94kt72fs0_q_9nzr2y5jphb00000gn/T/dask-scratch-space/worker-si0ii2ks\n",
       "                        </td>\n",
       "                    </tr>\n",
       "\n",
       "                    \n",
       "\n",
       "                    \n",
       "\n",
       "                </table>\n",
       "            </details>\n",
       "            </div>\n",
       "        </div>\n",
       "        \n",
       "        <div style=\"margin-bottom: 20px;\">\n",
       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
       "            <div style=\"margin-left: 48px;\">\n",
       "            <details>\n",
       "                <summary>\n",
       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 4</h4>\n",
       "                </summary>\n",
       "                <table style=\"width: 100%; text-align: left;\">\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Comm: </strong> tcp://127.0.0.1:56128\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Total threads: </strong> 1\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:56129/status\" target=\"_blank\">http://127.0.0.1:56129/status</a>\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Memory: </strong> 2.57 GiB\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Nanny: </strong> tcp://127.0.0.1:56090\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\"></td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
       "                            <strong>Local directory: </strong> /var/folders/2c/94kt72fs0_q_9nzr2y5jphb00000gn/T/dask-scratch-space/worker-lki3yuxs\n",
       "                        </td>\n",
       "                    </tr>\n",
       "\n",
       "                    \n",
       "\n",
       "                    \n",
       "\n",
       "                </table>\n",
       "            </details>\n",
       "            </div>\n",
       "        </div>\n",
       "        \n",
       "        <div style=\"margin-bottom: 20px;\">\n",
       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
       "            <div style=\"margin-left: 48px;\">\n",
       "            <details>\n",
       "                <summary>\n",
       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 5</h4>\n",
       "                </summary>\n",
       "                <table style=\"width: 100%; text-align: left;\">\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Comm: </strong> tcp://127.0.0.1:56119\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Total threads: </strong> 1\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:56120/status\" target=\"_blank\">http://127.0.0.1:56120/status</a>\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Memory: </strong> 2.57 GiB\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Nanny: </strong> tcp://127.0.0.1:56092\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\"></td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
       "                            <strong>Local directory: </strong> /var/folders/2c/94kt72fs0_q_9nzr2y5jphb00000gn/T/dask-scratch-space/worker-tj_akctt\n",
       "                        </td>\n",
       "                    </tr>\n",
       "\n",
       "                    \n",
       "\n",
       "                    \n",
       "\n",
       "                </table>\n",
       "            </details>\n",
       "            </div>\n",
       "        </div>\n",
       "        \n",
       "        <div style=\"margin-bottom: 20px;\">\n",
       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
       "            <div style=\"margin-left: 48px;\">\n",
       "            <details>\n",
       "                <summary>\n",
       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 6</h4>\n",
       "                </summary>\n",
       "                <table style=\"width: 100%; text-align: left;\">\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Comm: </strong> tcp://127.0.0.1:56131\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Total threads: </strong> 1\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:56132/status\" target=\"_blank\">http://127.0.0.1:56132/status</a>\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Memory: </strong> 2.57 GiB\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Nanny: </strong> tcp://127.0.0.1:56094\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\"></td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
       "                            <strong>Local directory: </strong> /var/folders/2c/94kt72fs0_q_9nzr2y5jphb00000gn/T/dask-scratch-space/worker-nbh_9dhd\n",
       "                        </td>\n",
       "                    </tr>\n",
       "\n",
       "                    \n",
       "\n",
       "                    \n",
       "\n",
       "                </table>\n",
       "            </details>\n",
       "            </div>\n",
       "        </div>\n",
       "        \n",
       "        <div style=\"margin-bottom: 20px;\">\n",
       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
       "            <div style=\"margin-left: 48px;\">\n",
       "            <details>\n",
       "                <summary>\n",
       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 7</h4>\n",
       "                </summary>\n",
       "                <table style=\"width: 100%; text-align: left;\">\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Comm: </strong> tcp://127.0.0.1:56134\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Total threads: </strong> 1\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:56135/status\" target=\"_blank\">http://127.0.0.1:56135/status</a>\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Memory: </strong> 2.57 GiB\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Nanny: </strong> tcp://127.0.0.1:56096\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\"></td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
       "                            <strong>Local directory: </strong> /var/folders/2c/94kt72fs0_q_9nzr2y5jphb00000gn/T/dask-scratch-space/worker-hja2ri7k\n",
       "                        </td>\n",
       "                    </tr>\n",
       "\n",
       "                    \n",
       "\n",
       "                    \n",
       "\n",
       "                </table>\n",
       "            </details>\n",
       "            </div>\n",
       "        </div>\n",
       "        \n",
       "        <div style=\"margin-bottom: 20px;\">\n",
       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
       "            <div style=\"margin-left: 48px;\">\n",
       "            <details>\n",
       "                <summary>\n",
       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 8</h4>\n",
       "                </summary>\n",
       "                <table style=\"width: 100%; text-align: left;\">\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Comm: </strong> tcp://127.0.0.1:56138\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Total threads: </strong> 1\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:56141/status\" target=\"_blank\">http://127.0.0.1:56141/status</a>\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Memory: </strong> 2.57 GiB\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Nanny: </strong> tcp://127.0.0.1:56098\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\"></td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
       "                            <strong>Local directory: </strong> /var/folders/2c/94kt72fs0_q_9nzr2y5jphb00000gn/T/dask-scratch-space/worker-oosdwo6a\n",
       "                        </td>\n",
       "                    </tr>\n",
       "\n",
       "                    \n",
       "\n",
       "                    \n",
       "\n",
       "                </table>\n",
       "            </details>\n",
       "            </div>\n",
       "        </div>\n",
       "        \n",
       "        <div style=\"margin-bottom: 20px;\">\n",
       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
       "            <div style=\"margin-left: 48px;\">\n",
       "            <details>\n",
       "                <summary>\n",
       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 9</h4>\n",
       "                </summary>\n",
       "                <table style=\"width: 100%; text-align: left;\">\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Comm: </strong> tcp://127.0.0.1:56149\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Total threads: </strong> 1\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:56151/status\" target=\"_blank\">http://127.0.0.1:56151/status</a>\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Memory: </strong> 2.57 GiB\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Nanny: </strong> tcp://127.0.0.1:56100\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\"></td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
       "                            <strong>Local directory: </strong> /var/folders/2c/94kt72fs0_q_9nzr2y5jphb00000gn/T/dask-scratch-space/worker-sxl5w0rr\n",
       "                        </td>\n",
       "                    </tr>\n",
       "\n",
       "                    \n",
       "\n",
       "                    \n",
       "\n",
       "                </table>\n",
       "            </details>\n",
       "            </div>\n",
       "        </div>\n",
       "        \n",
       "        <div style=\"margin-bottom: 20px;\">\n",
       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
       "            <div style=\"margin-left: 48px;\">\n",
       "            <details>\n",
       "                <summary>\n",
       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 10</h4>\n",
       "                </summary>\n",
       "                <table style=\"width: 100%; text-align: left;\">\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Comm: </strong> tcp://127.0.0.1:56144\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Total threads: </strong> 1\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:56145/status\" target=\"_blank\">http://127.0.0.1:56145/status</a>\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Memory: </strong> 2.57 GiB\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Nanny: </strong> tcp://127.0.0.1:56102\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\"></td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
       "                            <strong>Local directory: </strong> /var/folders/2c/94kt72fs0_q_9nzr2y5jphb00000gn/T/dask-scratch-space/worker-k6qo6zft\n",
       "                        </td>\n",
       "                    </tr>\n",
       "\n",
       "                    \n",
       "\n",
       "                    \n",
       "\n",
       "                </table>\n",
       "            </details>\n",
       "            </div>\n",
       "        </div>\n",
       "        \n",
       "        <div style=\"margin-bottom: 20px;\">\n",
       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
       "            <div style=\"margin-left: 48px;\">\n",
       "            <details>\n",
       "                <summary>\n",
       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 11</h4>\n",
       "                </summary>\n",
       "                <table style=\"width: 100%; text-align: left;\">\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Comm: </strong> tcp://127.0.0.1:56143\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Total threads: </strong> 1\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:56146/status\" target=\"_blank\">http://127.0.0.1:56146/status</a>\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Memory: </strong> 2.57 GiB\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Nanny: </strong> tcp://127.0.0.1:56104\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\"></td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
       "                            <strong>Local directory: </strong> /var/folders/2c/94kt72fs0_q_9nzr2y5jphb00000gn/T/dask-scratch-space/worker-e8bf4qh1\n",
       "                        </td>\n",
       "                    </tr>\n",
       "\n",
       "                    \n",
       "\n",
       "                    \n",
       "\n",
       "                </table>\n",
       "            </details>\n",
       "            </div>\n",
       "        </div>\n",
       "        \n",
       "        <div style=\"margin-bottom: 20px;\">\n",
       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
       "            <div style=\"margin-left: 48px;\">\n",
       "            <details>\n",
       "                <summary>\n",
       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 12</h4>\n",
       "                </summary>\n",
       "                <table style=\"width: 100%; text-align: left;\">\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Comm: </strong> tcp://127.0.0.1:56137\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Total threads: </strong> 1\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:56139/status\" target=\"_blank\">http://127.0.0.1:56139/status</a>\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Memory: </strong> 2.57 GiB\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Nanny: </strong> tcp://127.0.0.1:56106\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\"></td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
       "                            <strong>Local directory: </strong> /var/folders/2c/94kt72fs0_q_9nzr2y5jphb00000gn/T/dask-scratch-space/worker-vn88bsqk\n",
       "                        </td>\n",
       "                    </tr>\n",
       "\n",
       "                    \n",
       "\n",
       "                    \n",
       "\n",
       "                </table>\n",
       "            </details>\n",
       "            </div>\n",
       "        </div>\n",
       "        \n",
       "        <div style=\"margin-bottom: 20px;\">\n",
       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
       "            <div style=\"margin-left: 48px;\">\n",
       "            <details>\n",
       "                <summary>\n",
       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 13</h4>\n",
       "                </summary>\n",
       "                <table style=\"width: 100%; text-align: left;\">\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Comm: </strong> tcp://127.0.0.1:56150\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Total threads: </strong> 1\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:56153/status\" target=\"_blank\">http://127.0.0.1:56153/status</a>\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Memory: </strong> 2.57 GiB\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Nanny: </strong> tcp://127.0.0.1:56108\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\"></td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
       "                            <strong>Local directory: </strong> /var/folders/2c/94kt72fs0_q_9nzr2y5jphb00000gn/T/dask-scratch-space/worker-_am04ody\n",
       "                        </td>\n",
       "                    </tr>\n",
       "\n",
       "                    \n",
       "\n",
       "                    \n",
       "\n",
       "                </table>\n",
       "            </details>\n",
       "            </div>\n",
       "        </div>\n",
       "        \n",
       "\n",
       "    </details>\n",
       "</div>\n",
       "\n",
       "        </details>\n",
       "    </div>\n",
       "</div>\n",
       "            </details>\n",
       "        \n",
       "\n",
       "    </div>\n",
       "</div>"
      ],
      "text/plain": [
       "<Client: 'tcp://127.0.0.1:56079' processes=14 threads=14, memory=36.00 GiB>"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from dask.distributed import Client\n",
    "\n",
    "# here we connect to the cluster of our analysis facility.\n",
    "# if you are on coffea-casa for example, that should be something like\n",
    "# client = Client(\"tls://localhost:8786\")\n",
    "# locally we can make our own cluster though\n",
    "from dask.distributed import LocalCluster\n",
    "\n",
    "cluster = LocalCluster(threads_per_worker=1)\n",
    "client = Client(cluster)\n",
    "\n",
    "client"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008000; text-decoration-color: #008000; font-weight: bold\">Processing</span> <span style=\"color: #800080; text-decoration-color: #800080\">100%</span> <span style=\"color: #729c1f; text-decoration-color: #729c1f\">━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</span> <span style=\"color: #000080; text-decoration-color: #000080; font-weight: bold\">326/326</span> [ <span style=\"color: #808000; text-decoration-color: #808000\">0:00:03</span> &lt; <span style=\"color: #008080; text-decoration-color: #008080\">0:00:00</span> | <span style=\"color: #800000; text-decoration-color: #800000\">89.5</span> <span style=\"color: #800000; text-decoration-color: #800000\">chunk/s</span> ]\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1;32mProcessing\u001b[0m \u001b[35m100%\u001b[0m \u001b[38;2;114;156;31m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[1;34m326/326\u001b[0m [ \u001b[33m0:00:03\u001b[0m < \u001b[36m0:00:00\u001b[0m | \u001b[31m89.5\u001b[0m \u001b[31mchunk/s\u001b[0m ]\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 740 ms, sys: 166 ms, total: 905 ms\n",
      "Wall time: 3.84 s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "dask_run = processor.Runner(\n",
    "    executor=processor.DaskExecutor(client=client, compression=None),\n",
    "    schema=BaseSchema,\n",
    "    chunksize=100_000,\n",
    "    skipbadfiles=True,\n",
    "    savemetrics=True,\n",
    ")\n",
    "\n",
    "out, metrics = dask_run(initial_fileset, processor_instance=MyProcessor(\"virtual\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'DoubleMuon': {'entries': 29308627,\n",
       "  'mass': Hist(\n",
       "    StrCategory(['opposite', 'same'], name='sign'),\n",
       "    Regular(1000, 0.2, 200, transform=log, name='mass', label='$m_{\\\\mu\\\\mu}$ [GeV]'),\n",
       "    storage=Int64()) # Sum: 14378856.0 (14397111.0 with flow)},\n",
       " 'ZZ to 4mu': {'entries': 1499064,\n",
       "  'mass': Hist(\n",
       "    StrCategory(['opposite', 'same'], name='sign'),\n",
       "    Regular(1000, 0.2, 200, transform=log, name='mass', label='$m_{\\\\mu\\\\mu}$ [GeV]'),\n",
       "    storage=Int64()) # Sum: 288707.0 (289326.0 with flow)}}"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "out"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "out[\"DoubleMuon\"][\"mass\"].plot1d(ax=ax)\n",
    "ax.set_xscale(\"log\")\n",
    "ax.legend(title=\"Dimuon charge\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "jp-MarkdownHeadingCollapsed": true
   },
   "source": [
    "## Processing with Dask mode"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Preprocessing\n",
    "There are dataset discovery tools inside of coffea to help construct such datasets. Those will not be demonstrated here. For now, we'll take the above `initial_fileset` and preprocess it."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "from coffea.dataset_tools import apply_to_fileset, max_chunks, max_files, preprocess"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "preprocessed_available, preprocessed_total = preprocess(\n",
    "    initial_fileset,\n",
    "    step_size=100_000,\n",
    "    align_clusters=False,\n",
    "    skip_bad_files=True,\n",
    "    recalculate_steps=False,\n",
    "    files_per_batch=1,\n",
    "    file_exceptions=(OSError,),\n",
    "    save_form=False,\n",
    "    uproot_options={},\n",
    "    step_size_safety_factor=0.5,\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Preprocessed fileset\n",
    "Lets have a look at the contents of the preprocessed_available part of the fileset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'DoubleMuon': {'files': {'/Users/iason/work/pyhep_dev/uscms-idap-training/coffea/Run2012B_DoubleMuParked.root': {'object_path': 'Events',\n",
       "    'steps': [[0, 100030],\n",
       "     [100030, 200060],\n",
       "     [200060, 300090],\n",
       "     [300090, 400120],\n",
       "     [400120, 500150],\n",
       "     [500150, 600180],\n",
       "     [600180, 700210],\n",
       "     [700210, 800240],\n",
       "     [800240, 900270],\n",
       "     [900270, 1000300],\n",
       "     [1000300, 1100330],\n",
       "     [1100330, 1200360],\n",
       "     [1200360, 1300390],\n",
       "     [1300390, 1400420],\n",
       "     [1400420, 1500450],\n",
       "     [1500450, 1600480],\n",
       "     [1600480, 1700510],\n",
       "     [1700510, 1800540],\n",
       "     [1800540, 1900570],\n",
       "     [1900570, 2000600],\n",
       "     [2000600, 2100630],\n",
       "     [2100630, 2200660],\n",
       "     [2200660, 2300690],\n",
       "     [2300690, 2400720],\n",
       "     [2400720, 2500750],\n",
       "     [2500750, 2600780],\n",
       "     [2600780, 2700810],\n",
       "     [2700810, 2800840],\n",
       "     [2800840, 2900870],\n",
       "     [2900870, 3000900],\n",
       "     [3000900, 3100930],\n",
       "     [3100930, 3200960],\n",
       "     [3200960, 3300990],\n",
       "     [3300990, 3401020],\n",
       "     [3401020, 3501050],\n",
       "     [3501050, 3601080],\n",
       "     [3601080, 3701110],\n",
       "     [3701110, 3801140],\n",
       "     [3801140, 3901170],\n",
       "     [3901170, 4001200],\n",
       "     [4001200, 4101230],\n",
       "     [4101230, 4201260],\n",
       "     [4201260, 4301290],\n",
       "     [4301290, 4401320],\n",
       "     [4401320, 4501350],\n",
       "     [4501350, 4601380],\n",
       "     [4601380, 4701410],\n",
       "     [4701410, 4801440],\n",
       "     [4801440, 4901470],\n",
       "     [4901470, 5001500],\n",
       "     [5001500, 5101530],\n",
       "     [5101530, 5201560],\n",
       "     [5201560, 5301590],\n",
       "     [5301590, 5401620],\n",
       "     [5401620, 5501650],\n",
       "     [5501650, 5601680],\n",
       "     [5601680, 5701710],\n",
       "     [5701710, 5801740],\n",
       "     [5801740, 5901770],\n",
       "     [5901770, 6001800],\n",
       "     [6001800, 6101830],\n",
       "     [6101830, 6201860],\n",
       "     [6201860, 6301890],\n",
       "     [6301890, 6401920],\n",
       "     [6401920, 6501950],\n",
       "     [6501950, 6601980],\n",
       "     [6601980, 6702010],\n",
       "     [6702010, 6802040],\n",
       "     [6802040, 6902070],\n",
       "     [6902070, 7002100],\n",
       "     [7002100, 7102130],\n",
       "     [7102130, 7202160],\n",
       "     [7202160, 7302190],\n",
       "     [7302190, 7402220],\n",
       "     [7402220, 7502250],\n",
       "     [7502250, 7602280],\n",
       "     [7602280, 7702310],\n",
       "     [7702310, 7802340],\n",
       "     [7802340, 7902370],\n",
       "     [7902370, 8002400],\n",
       "     [8002400, 8102430],\n",
       "     [8102430, 8202460],\n",
       "     [8202460, 8302490],\n",
       "     [8302490, 8402520],\n",
       "     [8402520, 8502550],\n",
       "     [8502550, 8602580],\n",
       "     [8602580, 8702610],\n",
       "     [8702610, 8802640],\n",
       "     [8802640, 8902670],\n",
       "     [8902670, 9002700],\n",
       "     [9002700, 9102730],\n",
       "     [9102730, 9202760],\n",
       "     [9202760, 9302790],\n",
       "     [9302790, 9402820],\n",
       "     [9402820, 9502850],\n",
       "     [9502850, 9602880],\n",
       "     [9602880, 9702910],\n",
       "     [9702910, 9802940],\n",
       "     [9802940, 9902970],\n",
       "     [9902970, 10003000],\n",
       "     [10003000, 10103030],\n",
       "     [10103030, 10203060],\n",
       "     [10203060, 10303090],\n",
       "     [10303090, 10403120],\n",
       "     [10403120, 10503150],\n",
       "     [10503150, 10603180],\n",
       "     [10603180, 10703210],\n",
       "     [10703210, 10803240],\n",
       "     [10803240, 10903270],\n",
       "     [10903270, 11003300],\n",
       "     [11003300, 11103330],\n",
       "     [11103330, 11203360],\n",
       "     [11203360, 11303390],\n",
       "     [11303390, 11403420],\n",
       "     [11403420, 11503450],\n",
       "     [11503450, 11603480],\n",
       "     [11603480, 11703510],\n",
       "     [11703510, 11803540],\n",
       "     [11803540, 11903570],\n",
       "     [11903570, 12003600],\n",
       "     [12003600, 12103630],\n",
       "     [12103630, 12203660],\n",
       "     [12203660, 12303690],\n",
       "     [12303690, 12403720],\n",
       "     [12403720, 12503750],\n",
       "     [12503750, 12603780],\n",
       "     [12603780, 12703810],\n",
       "     [12703810, 12803840],\n",
       "     [12803840, 12903870],\n",
       "     [12903870, 13003900],\n",
       "     [13003900, 13103930],\n",
       "     [13103930, 13203960],\n",
       "     [13203960, 13303990],\n",
       "     [13303990, 13404020],\n",
       "     [13404020, 13504050],\n",
       "     [13504050, 13604080],\n",
       "     [13604080, 13704110],\n",
       "     [13704110, 13804140],\n",
       "     [13804140, 13904170],\n",
       "     [13904170, 14004200],\n",
       "     [14004200, 14104230],\n",
       "     [14104230, 14204260],\n",
       "     [14204260, 14304290],\n",
       "     [14304290, 14404320],\n",
       "     [14404320, 14504350],\n",
       "     [14504350, 14604380],\n",
       "     [14604380, 14704410],\n",
       "     [14704410, 14804440],\n",
       "     [14804440, 14904470],\n",
       "     [14904470, 15004500],\n",
       "     [15004500, 15104530],\n",
       "     [15104530, 15204560],\n",
       "     [15204560, 15304590],\n",
       "     [15304590, 15404620],\n",
       "     [15404620, 15504650],\n",
       "     [15504650, 15604680],\n",
       "     [15604680, 15704710],\n",
       "     [15704710, 15804740],\n",
       "     [15804740, 15904770],\n",
       "     [15904770, 16004800],\n",
       "     [16004800, 16104830],\n",
       "     [16104830, 16204860],\n",
       "     [16204860, 16304890],\n",
       "     [16304890, 16404920],\n",
       "     [16404920, 16504950],\n",
       "     [16504950, 16604980],\n",
       "     [16604980, 16705010],\n",
       "     [16705010, 16805040],\n",
       "     [16805040, 16905070],\n",
       "     [16905070, 17005100],\n",
       "     [17005100, 17105130],\n",
       "     [17105130, 17205160],\n",
       "     [17205160, 17305190],\n",
       "     [17305190, 17405220],\n",
       "     [17405220, 17505250],\n",
       "     [17505250, 17605280],\n",
       "     [17605280, 17705310],\n",
       "     [17705310, 17805340],\n",
       "     [17805340, 17905370],\n",
       "     [17905370, 18005400],\n",
       "     [18005400, 18105430],\n",
       "     [18105430, 18205460],\n",
       "     [18205460, 18305490],\n",
       "     [18305490, 18405520],\n",
       "     [18405520, 18505550],\n",
       "     [18505550, 18605580],\n",
       "     [18605580, 18705610],\n",
       "     [18705610, 18805640],\n",
       "     [18805640, 18905670],\n",
       "     [18905670, 19005700],\n",
       "     [19005700, 19105730],\n",
       "     [19105730, 19205760],\n",
       "     [19205760, 19305790],\n",
       "     [19305790, 19405820],\n",
       "     [19405820, 19505850],\n",
       "     [19505850, 19605880],\n",
       "     [19605880, 19705910],\n",
       "     [19705910, 19805940],\n",
       "     [19805940, 19905970],\n",
       "     [19905970, 20006000],\n",
       "     [20006000, 20106030],\n",
       "     [20106030, 20206060],\n",
       "     [20206060, 20306090],\n",
       "     [20306090, 20406120],\n",
       "     [20406120, 20506150],\n",
       "     [20506150, 20606180],\n",
       "     [20606180, 20706210],\n",
       "     [20706210, 20806240],\n",
       "     [20806240, 20906270],\n",
       "     [20906270, 21006300],\n",
       "     [21006300, 21106330],\n",
       "     [21106330, 21206360],\n",
       "     [21206360, 21306390],\n",
       "     [21306390, 21406420],\n",
       "     [21406420, 21506450],\n",
       "     [21506450, 21606480],\n",
       "     [21606480, 21706510],\n",
       "     [21706510, 21806540],\n",
       "     [21806540, 21906570],\n",
       "     [21906570, 22006600],\n",
       "     [22006600, 22106630],\n",
       "     [22106630, 22206660],\n",
       "     [22206660, 22306690],\n",
       "     [22306690, 22406720],\n",
       "     [22406720, 22506750],\n",
       "     [22506750, 22606780],\n",
       "     [22606780, 22706810],\n",
       "     [22706810, 22806840],\n",
       "     [22806840, 22906870],\n",
       "     [22906870, 23006900],\n",
       "     [23006900, 23106930],\n",
       "     [23106930, 23206960],\n",
       "     [23206960, 23306990],\n",
       "     [23306990, 23407020],\n",
       "     [23407020, 23507050],\n",
       "     [23507050, 23607080],\n",
       "     [23607080, 23707110],\n",
       "     [23707110, 23807140],\n",
       "     [23807140, 23907170],\n",
       "     [23907170, 24007200],\n",
       "     [24007200, 24107230],\n",
       "     [24107230, 24207260],\n",
       "     [24207260, 24307290],\n",
       "     [24307290, 24407320],\n",
       "     [24407320, 24507350],\n",
       "     [24507350, 24607380],\n",
       "     [24607380, 24707410],\n",
       "     [24707410, 24807440],\n",
       "     [24807440, 24907470],\n",
       "     [24907470, 25007500],\n",
       "     [25007500, 25107530],\n",
       "     [25107530, 25207560],\n",
       "     [25207560, 25307590],\n",
       "     [25307590, 25407620],\n",
       "     [25407620, 25507650],\n",
       "     [25507650, 25607680],\n",
       "     [25607680, 25707710],\n",
       "     [25707710, 25807740],\n",
       "     [25807740, 25907770],\n",
       "     [25907770, 26007800],\n",
       "     [26007800, 26107830],\n",
       "     [26107830, 26207860],\n",
       "     [26207860, 26307890],\n",
       "     [26307890, 26407920],\n",
       "     [26407920, 26507950],\n",
       "     [26507950, 26607980],\n",
       "     [26607980, 26708010],\n",
       "     [26708010, 26808040],\n",
       "     [26808040, 26908070],\n",
       "     [26908070, 27008100],\n",
       "     [27008100, 27108130],\n",
       "     [27108130, 27208160],\n",
       "     [27208160, 27308190],\n",
       "     [27308190, 27408220],\n",
       "     [27408220, 27508250],\n",
       "     [27508250, 27608280],\n",
       "     [27608280, 27708310],\n",
       "     [27708310, 27808340],\n",
       "     [27808340, 27908370],\n",
       "     [27908370, 28008400],\n",
       "     [28008400, 28108430],\n",
       "     [28108430, 28208460],\n",
       "     [28208460, 28308490],\n",
       "     [28308490, 28408520],\n",
       "     [28408520, 28508550],\n",
       "     [28508550, 28608580],\n",
       "     [28608580, 28708610],\n",
       "     [28708610, 28808640],\n",
       "     [28808640, 28908670],\n",
       "     [28908670, 29008700],\n",
       "     [29008700, 29108730],\n",
       "     [29108730, 29208760],\n",
       "     [29208760, 29308627]],\n",
       "    'num_entries': 29308627,\n",
       "    'uuid': '7a4da368-cfd1-11e8-9717-97650d81beef'}},\n",
       "  'metadata': {'is_mc': False},\n",
       "  'form': None},\n",
       " 'ZZ to 4mu': {'files': {'/Users/iason/work/pyhep_dev/uscms-idap-training/coffea/ZZTo4mu.root': {'object_path': 'Events',\n",
       "    'steps': [[0, 99938],\n",
       "     [99938, 199876],\n",
       "     [199876, 299814],\n",
       "     [299814, 399752],\n",
       "     [399752, 499690],\n",
       "     [499690, 599628],\n",
       "     [599628, 699566],\n",
       "     [699566, 799504],\n",
       "     [799504, 899442],\n",
       "     [899442, 999380],\n",
       "     [999380, 1099318],\n",
       "     [1099318, 1199256],\n",
       "     [1199256, 1299194],\n",
       "     [1299194, 1399132],\n",
       "     [1399132, 1499064]],\n",
       "    'num_entries': 1499064,\n",
       "    'uuid': '9fb6f85c-cfd1-11e8-9717-97650d81beef'}},\n",
       "  'metadata': {'is_mc': True},\n",
       "  'form': None}}"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "preprocessed_available"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Saving a preprocessed fileset\n",
    "We can use the gzip, pickle, and json modules/libraries to both save and reload datasets directly. We'll do this short example below"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Saved available fileset chunks to example_fileset_available.json.gz\n",
      "Saved complete fileset chunks to example_fileset_all.json.gz\n"
     ]
    }
   ],
   "source": [
    "import gzip\n",
    "import json\n",
    "\n",
    "output_file = \"example_fileset\"\n",
    "with gzip.open(f\"{output_file}_available.json.gz\", \"wt\") as file:\n",
    "    json.dump(preprocessed_available, file, indent=2)\n",
    "    print(f\"Saved available fileset chunks to {output_file}_available.json.gz\")\n",
    "with gzip.open(f\"{output_file}_all.json.gz\", \"wt\") as file:\n",
    "    json.dump(preprocessed_total, file, indent=2)\n",
    "    print(f\"Saved complete fileset chunks to {output_file}_all.json.gz\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We could then reload these filesets and quickly pick up where we left off. Often we'll want to preprocess again \"soon\" before analyzing data because this will let us catch which files are accessible now and which are not. The saved filesets may be useful for tracking, and we may have enough stability to reuse it for some period of time."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "with gzip.open(f\"{output_file}_available.json.gz\", \"rt\") as file:\n",
    "    reloaded_available = json.load(file)\n",
    "with gzip.open(f\"{output_file}_all.json.gz\", \"rt\") as file:\n",
    "    reloaded_all = json.load(file)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Slicing chunks and files\n",
    "Given this preprocessed fileset, we can test our processor on just a few chunks of a handful of files. To do this, we use the max_files and max_chunks functions from the dataset tools"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "test_preprocessed_files = max_files(preprocessed_available, 1)\n",
    "test_preprocessed = max_chunks(test_preprocessed_files, 3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'DoubleMuon': {'files': {'/Users/iason/work/pyhep_dev/uscms-idap-training/coffea/Run2012B_DoubleMuParked.root': {'object_path': 'Events',\n",
       "    'steps': [[0, 100030], [100030, 200060], [200060, 300090]],\n",
       "    'num_entries': 29308627,\n",
       "    'uuid': '7a4da368-cfd1-11e8-9717-97650d81beef'}},\n",
       "  'metadata': {'is_mc': False},\n",
       "  'form': None},\n",
       " 'ZZ to 4mu': {'files': {'/Users/iason/work/pyhep_dev/uscms-idap-training/coffea/ZZTo4mu.root': {'object_path': 'Events',\n",
       "    'steps': [[0, 99938], [99938, 199876], [199876, 299814]],\n",
       "    'num_entries': 1499064,\n",
       "    'uuid': '9fb6f85c-cfd1-11e8-9717-97650d81beef'}},\n",
       "  'metadata': {'is_mc': True},\n",
       "  'form': None}}"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_preprocessed"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "small_tg, small_rep = apply_to_fileset(\n",
    "    data_manipulation=MyProcessor(\"dask\"),\n",
    "    fileset=test_preprocessed,\n",
    "    schemaclass=BaseSchema,\n",
    "    uproot_options={\"allow_read_errors_with_report\": (OSError, ValueError)},\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dask.visualize(small_tg, optimize_graph=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 121 ms, sys: 14.5 ms, total: 135 ms\n",
      "Wall time: 241 ms\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "small_computed, small_rep_computed = dask.compute(small_tg, small_rep)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<pre>[{call_time: None, duration: 0.0405, performance_counters: {...}, ...},\n",
       " {call_time: None, duration: 0.0882, performance_counters: {...}, ...},\n",
       " {call_time: None, duration: 0.06, performance_counters: {...}, args: ..., ...}]\n",
       "--------------------------------------------------------------------------------\n",
       "backend: cpu\n",
       "nbytes: 730 B\n",
       "type: 3 * {\n",
       "    call_time: ?unknown,\n",
       "    duration: float64,\n",
       "    performance_counters: {\n",
       "        num_requested_bytes: int64,\n",
       "        num_requests: int64,\n",
       "        num_requested_chunks: int64\n",
       "    },\n",
       "    args: var * string,\n",
       "    kwargs: var * unknown,\n",
       "    exception: ?unknown,\n",
       "    ...\n",
       "}</pre>"
      ],
      "text/plain": [
       "<Array [{call_time: None, ...}, ..., {...}] type='3 * {call_time: ?unknown,...'>"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "small_rep_computed[\"DoubleMuon\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'DoubleMuon': {'entries': 300090,\n",
       "  'mass': Hist(\n",
       "    StrCategory(['opposite', 'same'], name='sign'),\n",
       "    Regular(1000, 0.2, 200, transform=log, name='mass', label='$m_{\\\\mu\\\\mu}$ [GeV]'),\n",
       "    storage=Int64()) # Sum: 146806.0 (147001.0 with flow)},\n",
       " 'ZZ to 4mu': {'entries': 299814,\n",
       "  'mass': Hist(\n",
       "    StrCategory(['opposite', 'same'], name='sign'),\n",
       "    Regular(1000, 0.2, 200, transform=log, name='mass', label='$m_{\\\\mu\\\\mu}$ [GeV]'),\n",
       "    storage=Int64()) # Sum: 57211.0 (57331.0 with flow)}}"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "small_computed"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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LEACAnKEGJj2J50Reqiwe8Z/DIgElsh1gtOVDQ0v16tXNNm2NUT169HDZ94MPPjBrIv3111+mxcXu7rvvlptuusl8/eSTT0qHDh3k2WeflT59+phtGlR0HzttbXnqqadMOFLaAqMhaPTo0fLcc8/l+ccHACA7aIGxsObNm0vPnj1NaLnxxhvlww8/lNOnT5v7jh49KkOHDjUtL9qFFBISImfOnJH9+/e7PEazZs0cX4eHh7uEIPu2uLg4iYmJMbc3bNgg48aNk5IlSzou+jwaps6ds/XxAgCQ32iBSU+xYFtLiKeeO5v8/Pxk3rx5snTpUpk7d65MmjRJ/vvf/8qKFStk2LBhcvLkSXnrrbdM60xgYKBpXUlISHB9umLFXGpiMtqWkpJirjUEaSuMtvqkpTUxAAAUBAJMevRNO5vdOJ6mAePyyy83lzFjxpiw8tNPP8mSJUvknXfeMXUv6sCBA3LixIk8P58W727fvl3q1KnjhqMHACB3CDAWpi0tCxYskN69e0tYWJi5ffz4cTOaSLuOvvzyS2ndurXp/hk1apQZqZRXGpK0hqZatWpyww03iK+vr+lW2rRpk7zwwgtu+bkAAMgKNTAWpnUtixYtMq0s9erVk2eeeUZee+016devn3z88cemHkZbTO688055+OGHTcjJKy3unTlzpumyatOmjbRv317eeOMNRxExAAAFgRYYC9OWljlz5qR7X8uWLc1cMM60xcSZDpF2VqNGjUu26XwwabdpiLGPUgIAwBNogQEAAEU7wEyYMMF0G5QqVcp0RwwYMMAUdDrTIbfDhw83s8LqENuBAweaIb3OdCjvVVddZWZ/1cfR+oy0M7nqpGza/aGjZ7RgVCdLAwAAyHGA0UnQNJzozK46fDcxMdEUkOrU9XaPPfaY/PrrrzJ9+nSz/+HDh12G3CYnJ5vwosN5dfjv559/bsKJFofa7d271+zTvXt3M0Pso48+Kvfee6/8/vvv/NYAAEDOamDS1lto8NAWlDVr1kiXLl0kOjraFI9OnTrVMRPsp59+amo1NPRowacWf+oU9PPnzzeTpLVo0cLM5KqzwI4dO1YCAgLkvffek5o1a5qCVKXfr1Pia7EotRcAACBPNTAaWFTZsmXNtQYZbZXRBQXtdH0dHXKriwQqvdaZXu2zvioNJTrUd/PmzY59nB/Dvo/9MdITHx9vHsP5kpW0xamwLn6XAOBdch1gdGZW7drRCdSaNGlitkVGRpoWFF1zx5mGFb3Pvo9zeLHfb78vs300lJw/fz7D+hydMt9+iYiIyPDY7TPNMvV90WGfYVhnJwYAFH25HkattTA6eZl27RQGunryyJEjHbc17GQUYvRNTkPWsWPHzG0tJrZPmQ/r0TCtE/jp79Hfn5kBAMAb5Oq//YgRI8xkZjqJWtWqVR3bK1asaD4JR0VFubTC6Cgkvc++z8qVK10ezz5KyXmftCOX9LZO3JbRbLI6Wkkv2WV/LnuIgbXpjMDaVUkQBQDv4J/TOoOHHnrIrLWjw5y10NZZq1atTPeMTm+vw6eVDrPWYdO6kKDS6xdffNEEB/vMsDqiScNJo0aNHPvMnj3b5bF1H/tjuIO+0VWqVMkcg9btwNq061JDDAAUdkt3nZCOdcp7+jC8K8Bot5GOMPr555/NXDD2mhWtOdGWEb0eMmSI6crRwl4NJRp4NHjoCCSlw641qOj09q+88op5DJ0CXx/b3oLywAMPyOTJk2X06NFyzz33yMKFC+W7776TWbNmuf0EaHcSdRMAgIKy/9Q56cjpzrMcfWR99913zcgjnV5eWy/sl2nTpjn20aHOutiftsDo0Grtqvnxxx8d92tY0O4nvdZgc8cdd8igQYNk3Lhxjn20ZUfDira6NG/e3Ayn/uijjxhCDQCwpLIlAjx9CEVOjruQshIUFCRTpkwxl4zown9pu4jS0pC0bt26nBweAACFUkhx2+hXuA9FAwAAwHIIMAAAwHIIMAAAwHIIMAAAwHIIMAAAwHIIMAAA5KPE5BSZumI/59jNCDAAAOSjhKQUzm8+IMAAAADLIcAAAADLIcAAAADLIcAAXujvXcc9fQgAkCcEGMALrfn3tKcPAQDyhAADeKESATlaxxUACh0CDAAAsBwCDAAAsBwCDAAAsBwCDAAABWjjoWjOtxsQYAAAKEBfsy6SWxBgAAAoQLUrlOB8uwEBBvByL8za6ulDAIAcI8AAXq5ciQBPHwIA5BgBBvBy/n4+nj4EAMgxAgwAALAcAgwAALAcAgwAALAcAgwAALAcAgwAALAcAgwAALAcAgwAALAcAgwAALAcAgwAALAcAgwAALAcAgwAALAcAgwAALAcAgwAALAcAgwAALAcAgwAALAcAgwAALAcAgwAALAcAgwAALAcAgwAALAcAgwAALAcAgwAALAcAgwAALAcAgwAALAcAgwAALAcAgwAALAcAgwAALAcAgwAALAcAgwAALAcAgwAALAcAgwAALAcAgwAALAcAgwAALAcAgwAALAcAgwAALAcAgwAALAcAgwAALAcAgwAALAcAgwAALAcAgwAALAcAgwAALAcAgwAALAcAgwAACj6AWbRokXSv39/qVy5svj4+MiMGTNc7r/rrrvMdudL3759XfY5deqU3H777RISEiKlS5eWIUOGyJkzZ1z2+eeff6Rz584SFBQkERER8sorr+T2ZwQAAN4eYM6ePSvNmzeXKVOmZLiPBpYjR444Lt98843L/RpeNm/eLPPmzZOZM2eaUHTfffc57o+JiZHevXtL9erVZc2aNTJx4kQZO3asfPDBBzk9XAAAPOqdP3fxG8gH/jn9hn79+plLZgIDA6VixYrp3rd161aZM2eOrFq1Slq3bm22TZo0Sa688kp59dVXTcvO119/LQkJCfLJJ59IQECANG7cWNavXy+vv/66S9BxFh8fby7OIQgAAE/z96VaIz/ky1n9888/JSwsTOrXry/Dhg2TkydPOu5btmyZ6TayhxfVq1cv8fX1lRUrVjj26dKliwkvdn369JHt27fL6dOn033OCRMmSGhoqOOi3U4AAHiaj4/tOqgYQcad3H42tfvoiy++kAULFsj//vc/+euvv0yLTXJysrk/MjLShBtn/v7+UrZsWXOffZ/w8HCXfey37fuk9fTTT0t0dLTjcuDAAXf/aAAA5Fq1ssGcPU92IWXllltucXzdtGlTadasmdSuXdu0yvTs2VPyi3Zb6QUAABR9+d6eVatWLSlfvrzs2mUrYtLamGPHjrnsk5SUZEYm2etm9Pro0aMu+9hvZ1RbAwAAvEe+B5iDBw+aGphKlSqZ2x06dJCoqCgzushu4cKFkpKSIu3atXPsoyOTEhMTHfvoiCWtqSlTpkx+HzIAAChqAUbna9ERQXpRe/fuNV/v37/f3Ddq1ChZvny57Nu3z9TBXHvttVKnTh1ThKsaNmxo6mSGDh0qK1eulCVLlsiIESNM15OOQFK33XabKeDV+WF0uPW0adPkrbfekpEjR7r75wcAAN4QYFavXi0tW7Y0F6WhQr8eM2aM+Pn5mQnorrnmGqlXr54JIK1atZLFixe71KfoMOkGDRqYmhgdPt2pUyeXOV50FNHcuXNNONLvf/zxx83jZzSEGgAAeJccF/F269ZNUlNTM7z/999/z/IxdMTR1KlTM91Hi381+AAAAKTFoHQAAGA5BBgAAGA5BBgAAGA5BBgAAGA5BBgAAGA5BBgAAArQnhNn5Wx8Euc8jwgwAAAUIJ2JZMXek5zzPCLAAABQAPx8ect1J84mAAAFoFX10tK8aijn2k0IMAAAwHIIMAAAwHIIMAAAwHIIMAAAwHIIMAAAwHIIMAAAwHIIMAAAwHIIMAAAwHIIMAAAwHIIMAAAwHIIMAAAwHIIMAAAwHIIMAAAwHIIMAAAwHIIMAAAwHIIMAAAwHIIMAAAwHIIMAAAwHIIMAAAwHIIMAAAwHIIMAAA5KM35+/k/OYDAgwAAPmoeDE/cx0ZHcd5diMCDAAA+cjP18dcD+1ci/PsRgQYAAAKQMXQIM6zGxFgAACA5RBgAACA5RBgAACA5RBgAACA5RBgAACA5RBgAACA5RBgAACA5RBgAACA5RBgAACA5RBgAACA5RBgAACA5RBgAACA5RBgAACA5RBgAACA5RBgAACA5RBgAACA5RBgAACA5RBgAACA5RBgAACA5RBgAACA5RBgAACA5RBgAACA5RBgAACA5RBgAAAoYD+uPcQ5zyMCDAAABeR4bLy5/udgNOc8jwgwAAAUkNDgAHNdpXRxznkeEWAAACggD3arzbl2EwIMAACwHAIMAACwHAIMAAAo+gFm0aJF0r9/f6lcubL4+PjIjBkzXO5PTU2VMWPGSKVKlaR48eLSq1cv2blzp8s+p06dkttvv11CQkKkdOnSMmTIEDlz5ozLPv/884907txZgoKCJCIiQl555ZXc/owA0nh/0R7OCQDvCjBnz56V5s2by5QpU9K9X4PG22+/Le+9956sWLFCSpQoIX369JG4uDjHPhpeNm/eLPPmzZOZM2eaUHTfffc57o+JiZHevXtL9erVZc2aNTJx4kQZO3asfPDBB7n9OQEAQBHin9Nv6Nevn7mkR1tf3nzzTXnmmWfk2muvNdu++OILCQ8PNy01t9xyi2zdulXmzJkjq1atktatW5t9Jk2aJFdeeaW8+uqrpmXn66+/loSEBPnkk08kICBAGjduLOvXr5fXX3/dJegAyB0fH/175ewBsC631sDs3btXIiMjTbeRXWhoqLRr106WLVtmbuu1dhvZw4vS/X19fU2LjX2fLl26mPBip60427dvl9OnT6f73PHx8ablxvkCAACKJrcGGA0vSltcnOlt+316HRYW5nK/v7+/lC1b1mWf9B7D+TnSmjBhgglL9ovWzQAAgKKpyIxCevrppyU6OtpxOXDggKcPCQAAWCHAVKxY0VwfPXrUZbvett+n18eOHXO5PykpyYxMct4nvcdwfo60AgMDzagm5wsAACia3BpgatasaQLGggULHNu0FkVrWzp06GBu63VUVJQZXWS3cOFCSUlJMbUy9n10ZFJiYqJjHx2xVL9+fSlTpow7DxkAAHhDgNH5WnREkF7shbv69f79+828MI8++qi88MIL8ssvv8jGjRtl0KBBZmTRgAEDzP4NGzaUvn37ytChQ2XlypWyZMkSGTFihBmhpPup2267zRTw6vwwOtx62rRp8tZbb8nIkSPd/fMDAABvGEa9evVq6d69u+O2PVQMHjxYPvvsMxk9erSZK0aHO2tLS6dOncywaZ2Qzk6HSWto6dmzpxl9NHDgQDN3jJ0W4c6dO1eGDx8urVq1kvLly5vJ8RhCDQAAchVgunXrZuZ7yYi2wowbN85cMqIjjqZOnZrp8zRr1kwWL17MbwkAABTdUUgAAMB7EGAAL3c0Jl7mb3Ed9QcAhR0BBoCcTUjiLACwFAIMAACwHAIM4MXqhZf09CEAQK4QYAAAgOUQYAAAyCf7TpyVM/HUmOUHAgwAAPlk6e6TnNt8QoABAKAABBXz4zy7EQEGAIB81rtRuISHXFxSB3lHgAEAAJZDgAEAAJZDgAEAAJZDgAEAAJZDgAEAAJZDgAEAAJZDgAEAAJZDgAEAAJZDgAEAAJZDgAEAAJZDgAEAAJZDgAEAAJZDgAEAAJZDgAEAAJZDgAEAAJZDgAEAAJZDgAEAoIAt23NSTp9N4LznAQEGAAAPOBR1nvOeBwQYAAAKSFipQM61mxBgAAAoIO1qlZOKIUGcbzcgwAAAAMshwAAAAMshwAAAAMshwAAAkE+e/3Uz5zafEGAAAMgnJQL9zTVDpt2PAAMAQD4pXbyYue5WvwLn2M0IMAAA5LNu9cM4x25GgAEAAJZDgAEAAJZDgAEAAJZDgAEAAJZDgAEAAJZDgAEAAJZDgAEAAJZDgAEAAJZDgAEAAJZDgAEAAJZDgAEAAJZDgAEAAJZDgAEAAJZDgAEAwAOemL6B854HBBgAAApQZEycua4XXorzngcEGAAACtD9XWuZax8fTnteEGAAAMgH6w9EyZ4TZy/ZHlYqiPPtBgQYAADywYnYeM5rPiLAAACQz6qXC+YcuxkBBgCAfNQ8ojTdRvmAAAMAACyHAAMAACyHAAMAACyHAAMAACyHAAN4mTX/npbUVE8fBQDkDQEG8DLr9p/29CEAQJ4RYAAvVryYn6cPAQAKR4AZO3as+Pj4uFwaNGjguD8uLk6GDx8u5cqVk5IlS8rAgQPl6NGjLo+xf/9+ueqqqyQ4OFjCwsJk1KhRkpSU5O5DBbzagBaVpWSQv6cPAwByJV/+ezVu3Fjmz59/8Un8Lz7NY489JrNmzZLp06dLaGiojBgxQq6//npZsmSJuT85OdmEl4oVK8rSpUvlyJEjMmjQIClWrJi89NJL+XG4AADAYvIlwGhg0QCSVnR0tHz88ccydepU6dGjh9n26aefSsOGDWX58uXSvn17mTt3rmzZssUEoPDwcGnRooWMHz9ennzySdO6ExAQkO5zxsfHm4tdTExMfvxoAACgqNbA7Ny5UypXriy1atWS22+/3XQJqTVr1khiYqL06tXLsa92L1WrVk2WLVtmbut106ZNTXix69OnjwkkmzdvzvA5J0yYYFp07JeIiIj8+NEAAEBRDDDt2rWTzz77TObMmSPvvvuu7N27Vzp37iyxsbESGRlpWlBKly7t8j0aVvQ+pdfO4cV+v/2+jDz99NOmhcd+OXDggLt/NAAAUFS7kPr16+f4ulmzZibQVK9eXb777jspXry45JfAwEBzAQAARV++D6PW1pZ69erJrl27TF1MQkKCREVFueyjo5DsNTN6nXZUkv12enU1AADA++R7gDlz5ozs3r1bKlWqJK1atTKjiRYsWOC4f/v27aZGpkOHDua2Xm/cuFGOHTvm2GfevHkSEhIijRo1yu/DBQAA3tiF9MQTT0j//v1Nt9Hhw4flueeeEz8/P7n11ltNce2QIUNk5MiRUrZsWRNKHnroIRNadASS6t27twkqd955p7zyyium7uWZZ54xc8fQRQQAsIphX6/x9CEUaW4PMAcPHjRh5eTJk1KhQgXp1KmTGSKtX6s33nhDfH19zQR2OuxZRxi98847ju/XsDNz5kwZNmyYCTYlSpSQwYMHy7hx49x9qAAA5JuWEWVk5b5TsuGAa9kECmmA+fbbbzO9PygoSKZMmWIuGdHWm9mzZ7v70AAAKDA+Prbrp/pdnI0e7sNaSAAA5KOIMsGc33xAgAEAAJZDgAEAwAN+Xn9YziWwUHFuEWAAyGPT1nMWAA84E0eAyS0CDODFth2JNdd1w0p5+lAAr1GjHDUx7kCAAbzY4I41zHWAP/8KgILSs2G4+F4YoYTc478W4MWaVg319CEARdKZ+CRZ/e9pTx9GkUaAAQDAzfYcPyPJKamc13xEgAEAIB8FB/pxfvMBAQYAgHxSOTRIutcP4/zmAwIMAACwHAIMAACwHAIMAACwHAIMAACwHH9PHwAAwDqm/LFL5m05KiUD/eWre9t5+nDgxQgwAJCOhduOyoKtx8zXY/o3kkB/hsKqNf+elvUHonjNwOPoQgKAdKz9N0q+XrHfXJiQzHWG2YzoyspHY+LMJSk5hdcV8hUtMACQjsQU734DfvrHjSastKtZVu5oXz3dfX5ad1A+/nuv+frLe9rJ3C2R8uQPG83thY93lVoVShboMcO7EGAAAJf4ZuV+cx0bl5hhgFm++5RsOhRjvk5i2nwUMAIMACBDp88myLbIGPl25QFz++Cpc477pq22bQM8gQADAFmYvHCXjO7bwGvP0/9+2yZ/bD+e6T5tXpwvbWqUKbBjKuzsXWvIPwQYAMhCgL/3jnfYcDA62/uu2nc6X4/FKk6eiZef1x82Xx+OjvP04RRZ3vtXCQCZCHIaNu0jPpyrHJq6Yr/sO3FWYuISve7cJSanOr5uVjXUo8dSlBFgAC/zwqytnj4ES/D18d7Q8uPag3l+jI/+3ivdXv1Tft1ga4nwVpNvvczTh1BkEWAALxNWKtBc7zx2xtOHgkIq9WIDgouqZYrn+LG0K+XvnSfEm3y0eI+59vf1kWrlgjPd9+Ml1MrkFgEG8DL2hoX/XtXQ04eCQurJH/5Jd/vAy6qmu71OWMbzvazce0ru+HiFXDP5b0drTEpKqrz/125z0fuLmoQLk/hlNrTcfld8onfPN5QXBBjAS4UEFfP0IaCQ2XvirHSd+IfLG++jvepm2QIz5bbLZGz/Ro7b79x+abfJPwejZfHO47J2/2lZtPO4TPhtm7nM2xIpRU0xP9tba6NKIRnu06BiqQv7em9XZV4xCgkAYCQmp8i/Jy/O8/Jwz7rycI+68kDX2uZ2fFKKjPretXWmSuniUr9iKbPcgr2Fpl54KSlXIkBOnk1w2fe71QfNxdn5xOQie/a71q+Q6X3bImMl6pz3FTm7CwEGAJDu0PH2NcuKr6+PBPnaRmQF+vvKumevMF+/OX+HHIuNN+FFNaocIq/d1DzHZ/K3jZFyb6daUqN8Ce/6LVxo5Jq+5qBMvDHn5w0EGADwejrUWWfcXfuvbR4XbT1ZcyGoOPPx8ZEyJQLM189f28Qt501baXS00vQHOkibGmW95neRtnUKOUcNDABk4Qc3DCsuzH5ae0i6TvxTnvrRthBjSkbDkHKgUumgDO97qEcdqZWmxUUnf/Mmo/vW9/QhWB4BBvAi2yNj5WiMd71RuMN+p/V/ipqdR2PlrQU7XbaddkNdxrXNq0j/5pXTva9m+RJSN9y7V6r25nmG3IUAA3iR7Udj092+8VC0bD6c/SnjvU3JwKJbLrjr2Bk5laY7Y1SfvLcODO1SSybd2lKe6F3PZfuL1zWRltUuXTPpg0V7ZO7mojciCfmn6P5VAshU2RIBctyp2T7mfBJnzIv8tvGIWbtowbajl9wXEuS+t4YRPepKv6aVZP+F0U3d6lcwtTRprd0fJfd9uUa6168gwYH+Zmi2FaWmpspXy//19GF4BQIM4IU61i4nlUsXNzOFwjvN3XJUflp3yGVbkyohMrpPA+lSL+Phv7lRu0JJc3FWIiD9tx/7qtc96h+UJbtOmKHbuhSVlQKNOWad0O7CNfIHAQbwYmEhQWYWVe1GQOa0m+V4rK3FqlaFEo7Jyqwq6tylo2BmPtS5wJ6/fa1y8mOaAOXs8ekbXG6PvzbBtBoWdruPX/xb0g8JyD/W/gsEgAIyY90h6fPmInNJWzNSFBR0a9xNbSKkX5OK2d6/0/8WihXc+N4yx9fXtaySre85UISLxPMTAQYA0vHG/B1F9rwcijpv6l+cdasfVuDHMaZ/I5n3WBf544luWe57LiFZVu0r/Osm5WYE15xNFC/nBl1IALK061isxCWmmNE4XjdjahH0w5qDcibeVrR9U+uqMn5AEwn0t822W5AqhRYXCRXH5Hm6rIAOsd58OCbd/SOj4wr2APMR9Wd5RwsMgCw9+PVauXrS3/LMjE1ec7aK8tDp+VsvjjwqFVTMI+ElLZ35d8u4viZMZeShb9bJE2lqY6yqdHCAXJ/NLiakr+j+hQK4xMd/783VWdlx1FaYuHzPSc5qEaArQ9v5F7LVkC+rVkb2vXyVTF2xX84lJJki8/f/2iPLLrz2vl9zULrXD5OrmlWSwkwLjgvbuS1qCDCAFzkcdT5PTfF5n2AenqS/95n/HHbZ1qJqaSmMbmtXzfH1879ucbnvi2X7pHRwMVm087hUDAmSxpVDpW3NwrGOUvmSgXLiTLxMHdpOQoKKefpwijQCDOBFKoUGmaHA+qk2rd82HZEOtct55LisYM8J6w81n7f1qLwwa6vj9oLHu14yP4vDmeMi854VSTwvsmXGxe3NbxO57l2RlBSR1GTbNl9/Xekx345bX697T5x13F6x95Tc/tEKx+2eDcIKTYBBwaEGBrAQXTH4uZ83mcvKvbkfkXFr24ufbvXToko7KgWuvlq+3/H15IW7LHl6/vfbNpfbxXwzeQtY+7nIhm9cw4vaMFVkxfsiG78TGV/edom0LQIpf00UmT1KZPUnbj3uW9tGZHr/gm3HzDBrnQXXU1bvOyU1nprl+HtC/qMFBrCI5JRU+XTJXvl8mW2a8jrhpTL91PnHtmOmtUX74ns1CpdjMXEutQ929gnZKocGZesYzickS/EAzxd9eqL16siFrrcvl/8r4SGBZpp8K2keESpLdtlqSUoE+Em1csGX7pSUIBIfI3I+k0D722jX2++nmQAvNEKk6Y0igaUubvvmNpHts0R8i4kMeEek2U3ZPu6KIVlPCHfw9Hnp/cYi2XnsjIy7trGElQqU3o0qim8BzW9jn303N16cvVXu7FBdgop5399VXtACAxRSGhT0otOR60KLV729WN52+uT/7IxNsjFNIPnk773SbOzv5vLfnzbK6B/+kQm/2boM9jg1wTsb1TtnC/cdOM2kW+rVuTtkzb+Ff16SHPt3icjE2iLLJuf+MaIPiEyoKjLrcZHj223bil0IISmJIqk5e7NvVDlE3rujVZb7aXhRY37eLA98tVZW/+uZVsU72leT6mWznm7gtNNsyL+zkGWO0QKDIkdntdTZMCNj4qR6uWD5a1R3KeziEpNl3ExboWKvhmHSo0G4NBwz58LtcGlfq6xsi7x0JenD0eeladULE2mIOB5DxcTZ5vnYffystH1xvmPeD2WFKdmt4MCp89KquhR6sXGJMuG3bY7WFxWetsVt1hMiKUk5DheZWvWR7VKqskisU/HwT/eL/PKwyLClIuXrZOuh+japKG/f2lK+Xblf1u2PMnPGZOWm95fJZdVKy48PXi4FpX54KXlhQNNs7VuvYinH2k/IOQIMipyU1FQTXtS/J8+Zad8L0xu29pPbm/Cvv6yqBPr7yufL9klisq3/XoePpp2zw3neDmfP/7JZ7v9yTZbPeezCGj72CbSaR+Rs5EmDiqXSDVDeQsOfcwC0gvUHomTktPUZtrz1bZxmGv9VH+bfwTiHF7vkeJHJrURKVhR5YLFISrKIf6BIcMbdotc0r2wuqvnzcyX6fNaz3uoq19dM/tvRfTqqT30Z3j17oSk7kpJTTP1YbqYYeLpfQ9l0KNoESz2+a1swL0xO0IWEIm+th5qRMxLgb/uzO5uQbGopPvp7ryO8ZEeHWhdHCh3OxXDoBpWc6hKQJ18tt9UjFSazNx6REVPXytAvVmcYXt66pYWM7tvAdmP1pyITc/GG3v2/rrdvmZqbwxU5Eynyal2R1xuI/PJQtr9tcMca0rluebOe0ms3Ns90X+far4m/bzfdse7q/pu2+oDc+uFymZTLwu7EpNQ8zdHkzWiBQZH33C+bTRGrO/y49qD5pKUzl959eQ1T1KpBRB2NiZNa5UtIlTLFJTjAX1bsOWn6uP18fWXU9xskKhdrpKSlc198c197RytObtzZ3gJ9HoWUTnd/0mkhxx1HC0+rlLYQHYk6Ly//tk32Z7E4oMsw+sWviZzNQTdGj2dFKjUXCWso8seLtm1hjUSCSosUL2Mr/i0WLJKYi1qpbTNF/ldDZOTWizUzGRh5RT3H1wdPn5PejcJl7pb0WyrT0qUKzsRn3QWVHftPuv6cu5xWo87W91/4XTWpEuKW4/EmBBgUeeVK5q37SAtpT561dcHM3hjp6M7R1pP0fHFPW6lVoYTc9+WabDVxZ0X78I/G2J5fawDUKwObyZhfNpn1icqXDJATZy6+qY7t30jGppn4Kzt0KKr+M047MkUnv3PuPpowe6t8endbKcq0+8XeZVQvvKRjJmJ9LTkHmIiy6YzicaOocwnmOHx8fKRK6eLp1nvtO2lrZdFuiPf+2p2tx9WJ34xTe20Ftxnp9bwt3NTuLlK+vkjpDIYza3ipcbnIk/tst5MTRWIO2b4uXlbk5QjXEUqZPacGoL/fENm1wPbcDfuL9LkQlDJQtUywfDCotZml177UwPyRXeSRb9dnuK7SK3O2Sdd6FSQvth6JkakrXbt8O+ZwLqWXBzaVuz5dJZsOxciWwzGmYBnZQ4BBofL0jxvlmwv/ELQY7oNBraR6ubwtHlg8l0MT3/9rt/yw9qDjzSu7Bn2yMkejFepXDDEjiuwTcmmQcKajL8JCXAsub2oTYS72As25m4/Kv6fOSYuIUGlXs5ys+ve0zPrniGP/z+5uYwqFXd680pGok5Olsef42UvWcCnqBkxZ4vjaORweiXL/YoL7Tpw1IaRUkL80qBhiRs4M/Xy1uU+L0O0ja/o3ryy1K5Qww961qPvDRXtlTjZHrujU/I9+u05mrD9shhdL9CGR6IMiBy5OBudQuaXI4XW2606PZv7A9a8UOXdSpFaa1aT9iomUqXHxtk50pwXC7YaJ9HtZZPZokfhY25wy6fnrfxe/1tFQRzaI3DVTcurZqxuZ2YdX/3vKfPjQejg7DTZjf9ks/ZvbliSoWb6kqZXTVlY959radm/nWuk+7rr9p+W6d5Zesv2GVlXl5gt/l7kRdf7i8SFrBBgUKgucilW3H401Q4hzQiey+jpNEWxOaJdQYrLtObXVIafhJbtqlAuWfk0rmXoWXx8fuaqp7Z9ov6YVHQHmjZubS4/64eaNLTO6GN/AVlVdtmkLja4XY/80qgsTdqsflu7392iY/na7h75Z63Lbr4Dm1fAkbUGzBzfnN73Y+CTzu1q047j5OreOxcbJiVjb41759mLH9mHdasvJM/GScOE1qHOb2P26IZ1C2GzQInH10vVNZXznEuJ3aIXIGwPT37lqG5F752f/wW/9Jnv7jbpQH+IXaLu+8hXbtc7ou3WmyLTbM//+fYtFvnXaR+epaXmnrcuq7hUZflv7C/ViA1pWMeEw7WKkny3dZy4Z+WvHcWlbo6y0qFZaOtet4FjJe9LCnZfse2+nmvLM1Y0kp/S4nOuXmlYJNX/TyBoBBoXK8TzOYqldKh8s2pOr1hb9R2afqCw3mlUNNTURegxZGXdtE+ni1HzdqW55c611M3ahxYtJaHDu/pGVCPSX7vUryNR725nbdcNLZbp2S0iQvxl2/fO6QzIyzbwwTaqEyuKdJ8QbfXd/B3lmxkaXIDvl9svMG9vgT1aaT/FzNh2Rvk1cFxbUT/Fr/j0twQF+8t+rbG9qu4+fkZ6v/WV+rxl1Lb77p2sXUHaGCqf1yg3NZPT3/zhuP9zTNtme1mXJvJG2MJCeur1FqnWQfKFBI6+0PsbZ3kW24dmPX1waoWW10o7VrCuUdG21vKN9dXOZse6QPDptfbaeUl/32XntLx7dPdfdiRWdhrPrbM93daxJgMkmAgwKFV2YzTlELN97ynwCbuc08iandN2Uuz5daVoltJaggjahp6HDrvMSXtQTvevL2v2n5c35l346u7xOObm5TTV5+Jt1pgnfPhIpLf0n+J8rbaND6oakiEy9xdbUnxAr0ukx206NBtgmG9P6gJLhIvX7pftY5UoGSsc6l/6s6bHPGaMT5c3aeEQWPH6xS0DPmb0rLjdvqFai3Tk3vr/MzGBsp7O57ji6K9NZVO0BZsofu0zdyoeLL44o0TV8NFA2udB15466qLSf/PWTu31EWjE/H8fU+9dExEuHA6+ITPhNpHw9kUO2rqlL6Gvqps/FIxpcJfJclO3rDd/auoyObhJpM1SkWnuRH4ZkPjx77IUu0XJ1pPZ9f0rtAi5Sb1W9TL7XQiF9BBgUKjo6wjlIaG2Ivn/unXCVqemw9/m/flNzxxT4zuZsvlj38eJ1TeS/P9majP/cflzavrTAFLyufuYKORR13gyvfuibdWZelKSUrIcxBxXzNV1aOsrojZtamGm/9ROzvuErbVHZeOjicM2qZYo7ugDKlQh0mcPCxaG1Ilt+FlnyplRue5/c1+hakRqdbIvp7fjt4n6/PuJ6bXfvApGEs7ZAE/mPyLlTIjW7ijS6xjavxuH1tsnJSpQXKX1xDaS03Qz2qdB14rurJy02RYV67u3Ly+jPY6/H8IQ5myIlPinZFGzqm0Z+iI1Lcgkv6ok+9WXyH64BxtSROE1mp6PCdFTMG/N3OM6X3fytti7Bn9fnrgvIbojfbCnrEyP7U8Plu+Sukiq+0qV6kDzTq6r8p8p6STqxRyQlQfwCU+W6iKMiFeqLfHbVxQfIKLwEhojU6SUe47wIZItbbRdnx7eJLJqY9eOc3GWb/TetexeKVL04i6+/n/u6QG9pEyHP9W+c58fReZk2HLCFOK0B1NodZI0AkxfJSSI7f7d9rZ9uyltrXZTCZtexM+k21+obgtamaOGcvQ7g1RubSUpKqpw6lyDXv7M03WGj6QUcLchMOwQ5O+HF9pzN5epmrgFEiyyda0J0aPVNrW2ffnVRN22uVoM6OhU0pqUFikvetH298gORf5faagv06+z4qOel29Z9KbKkiciwJSKf9BFJihNpdZdI/7cy7Cq57p0lYj8VGl6UB9fGu8Tj3613DFnXAFMvvJQM6VTDFF8q/S1ktu6N1q1okbiO5nm8dz1TOLt632nTOjL2msbyxrwd8tYC19azGuWDXSby0y4K1bBSiEy8oZmMcuqqeX3ejgyfu7xES6iPLfztTs3+ZGU3tgyT66onSN3I2VJh/VcXf5bkZlLJ56R8cXSsyMu2Cb0cpdXLsvHAvV+wBRf9n1W9oxRqPZ6x1eZMvbB2khYHn864buUSH/WwzVGjE+ZVbWX+hnVk3UuzbQtbju5bX16Zs93RAmyfBFNp/cuqf0+Zbj8t8HUuaP9nbG8JcVOtys/DL3f8X9L5YHSNsz5pJxrEJQgweaEzSX57m+3rrk+KdP9Pnh7Om/25/ZgZSpiR2v+Z7XK76di5WRb41nWe6yIX9E3qo8Gt5b0LdQnprW2ik4E5JgS7UGdgag20D75UoHmMdJ2PEvlzgsj+5SJH0vTHa/P5m9mbijxT+jj25nWlXVEq5rBtNWGdq0NHj1RrZz4B6pILnV/5Q9xFu/50WKjSwsSs6nl+23jEdPdtORIjD/eoa1q8dJiqahFRxhFelNaX6MU+Yi290V3DutUxXXa6nzNtfXvgqzVy2mlenpDixeTtNOFF59wJK2WrT3jxuqZmtJfzCCwtwnYOMJl50P9nucd/jiSn+kjt+K/NtlA5IyUkzhRg16hVX7rE/CxxR3dLhR3fSlDKhTfKPaEiWy9dgHNc4BdyhU/Gfy9Z6pj9CeMKnW5Pi8x4UCQ1B92Z9v/TN34u0niA6c7t29jW7bct8uIw6/9c1VC+W2Ub4j2kU03p3uBigbuOZhr29RqzjEF+cJ4OQVuHCTBZI8C4i37CxSVu/2i5nDyTID0ahMn9XWo7JnmqG17SfGLW4kgthszpNO1ZhRedi6FltTKy68V+Zr6W53M4L4pON65dJvpp3V4U6DY/j7AVUubkU6Rdl1G2LqLVn2j7SM6+d9d810CjVrxnm2ND5+qo0CXTb+/ZMNx0IWmdj170/Gj3iWpcOeSSlXS1Sfzuz2xvsje2qioje9eTIH8/M+rKHma+W33A1J28k6Z49Y6P0xnemwNaDKmXjDiHF5U2vKi7O9Z0fJ1el5WO7MrMDX5/SU2fI3IiNVTq+djeFP18UuX7yzZK651viyReCCmbL1zSE39peFE5Ci/tH7R9wNL1h3bMEQm2FYxbihYX67pJ9haY5rdcvC/tazoz0weL/OAvoS3vlNA1n5pN4eUby0udxsrpErXM7zndbt4LxbY6si+/AsygDjUcrXjvL9pjup91VGLaVl9c5JOq406LoJiYGAkNDZXo6GgJCcmniYG07uAlpxfX2PT/2eTEvyfPysq9p2T5nlNSs3yw3Nm+huOfvRYI6q9LP43qqBVdg8Pe/aE1DPZiy8xoDYH+xvVNJL1CUv2UqesH6eNWKxtsijZ/Wmv75H5l00pSq0LGrRr6ZvTS7K2ma+fHBztKhVJBZr0S5+nLdWIp+wKFGa3vo9ODfzmknWnm7fjyQsmNW9tWkwnX21ox9HiOxsbJ+JlbTBOwdgXo+erduKKjS8q20m2qqWHRN9mHLozcyLX5z4v8/brrtsqX2frpdQhobvgWExmTpotN522JixLZ+5fI9Lskr1an1JPmPrtlV0hbiS8WKg8d6SMHUsNNfYd2yf1vjq3Z3U7fmH0lVdo2qi0lK1QzQ02bR4Sac6gjdewBRkWUvRh4CjPtKph2X/tMR27Z6TD1iFNLJWH/Wmntu11Cfc5KoCTKeQmU1r4Zdynlq2a3iPzzrUhAKZHe40Va323bfnK3Lfz6+dvmeCkq7AHmskEi10yy1cssfCFnj6Gh7ornRVrekWUd1i8bDjm6lO2tre6grY03vLvUpaVRXX9ZFfM/8bqW6dT3FFHZff8mwLgzwKg7Z9j6lLV48gKdQEyHT+roBO1S+H5Y+n3OkxfulFfnuv7Tm3xbS9NHH1zMT27+YLmjeVxXO9VAo+t6qHmPdTGBRKe4dx6WpzToaLO5GvjuUtNM2aZGGfMHqEFGK+g1uOgb/HerL3QzpDMkc0CLymYirAA/X7m6eSWpHFpcSgb5m+nLl+4+6bYCzz0vXWlqGaLPJcqbC3aY8/fNygNZfHqpLhVKBpph2Dq7pn6SymrCNefJqDTA6Gq3OXL6X1szdkBJkZJhIgdWiqz/WmTNZzl7nMc2i/gF2JrFd827uP2270Tq9bGFociNImVrXZw/I63EOJH9y0T2/ClybIutgHPppIutNtkpgkxPt//YZkVNsr1+ElP95ISEyrtJ/eWL5D6yLXCwBPkkyldJPeWZpExGi7jRx4NbS6XQ4mZ5hoxmWS0jMTLAb4lU8jkly1IayaaUGnJcLm1Feef2y+TBr9dKiJyV0j5n5LEr6knLJs2kRliIyJz/2FpW9e+56Q0ia78Q2b1QZMsvtt97bqfLzwudDfeE7W/e4b6/bK+Nwxfm6wlrLFIybzPMWor+nrRIXQvfG15t+7s8vVckKcFW45MUL7Jxuu11nJ1uJ10m4dQ+W+uX1t50fUqkbi/b37eOklLaolXKPcuTOLvvi9XpLoegIeb1m1qIt4ghwHigBeaC1xJvkHWpdaVGiI8sjy4tu1Jzn5x1HolzaRJ5UV9jxh5gnLV+YZ6jf7hXwzDHyA71wZ2tTGtKTmlrlr39URuvMm3BOr7DFhBU8dK2GpZfH7bdrt7JVnS79VeRnx/M2UH4+Ik8d2FRubnP2v5BBpQQeWit/aAkV/QHs/9wGj7e6SASZV/6QB/TvQ2vC5NbyD2Jo+V+v1+lqe9eiZdiMju5rdzi96e5f2LSTbIjNUKq+hyTy31t/SXzkltJRZ9T8pj/D9LYd69U9jkl85Ivk0TxlwcTH5UZnQ9J4z0fS7GTF1t9EqSYFLtrhvhUbSsrD5yRGWv2yWWnfpPejcPl9llx4peaLAGSKI93LC3t1jye4fGmpPrIOb9SUjIll61hBaFGZ9uMthqaVGg1kcc2iqz7+uLrTEeVPbrRo4dpGVH7RX56wDYFQU6FVBWJOei6xELtHiIhlW2j+9xk8+Fouffz1elO6aAtmP2aVDIF6PpBtSgjwHgwwKQ1IfFW+TL5CqnlY+uuiJcAKe8TLd1915tPhutS65hmehUk8eInKZIiPnJeXFtSiiqtM1n4RFfHiswloneKj72mSPu7ff1l4bbjEpviL7WT90qDsOIS7x8iAaveFb/4aPENayDS5l5bq9e+JSJ/viRy5B+Rbk/ZLiol+eKnZf8g2xuD87btc0Si99sm3NJP1lqfom8c6U21nhf2dWDummX7pKcCC3h16JUf2lp1dG6ZtNPC+/heOmFYYaWtVskWm3q97/9ENn4ncmiNSJMbRFrebnvNaQ2SFllr65mvn0jTm0QCL3TXntojEhdtm8U2vNHFSdxij4oEhYrU6+3RH8mStHVmxjCRTd+7/7EbXycy8BNbjVPMEdvw9agDtsATXNbWhaz/g3QxzAzo5IgPfOU6A7azr4Zo4X2ovPr7dtl38pxp3Z86tL1prS8o+gHwp59+km7duknZsmXd+thFIsBMmTJFJk6cKJGRkdK8eXOZNGmStG3b1nIBxv6Jz9cn41P9T0pN+TSpr7wR8K65vT6llgxIsPXjdvDdLI/6/2C+fipxqBxNLWOGUKrDqeVcgo6GJB9JlejUkqapv4bPEROIYlOD5biEms/eSo8kVXxMvcMtfraRJ3+ktJAU8TWfnhenNJMKEiUhPmelss9J8zy6/XBqefP4/yv2oVTzOSoxqcEyIek2iUotKTUiIuTWNlVFV4fXx9Yp/bcciZXL65SXL2+sZisi3TbLNrdJ16ck6uQROVa+vUhIFam3cKhtAbiKTWwjc9K+MeknoJu/EPmwRwZn0P2tCm736KaMF8PzBK2H2PrLxU/75Wrb/rHrYnqvXVzpF9mg4aLdfbYg0naoSMKFYKxdixqS4y90r5aooGO9OaWFwfbfbCMBtcvpyldFanW1TWGghe1aL3TWdU0yt9Iuv+GrbOFUaSuOhpsLdOSczjGVUZ1gRtrWKCs9G4aZ+bS0PPJcQpJj7TP9oKgj+9K2OmuNoF1m0xCktXHjRmnWrJmUKlVKHnnkEXnsscfcFmQsH2CmTZsmgwYNkvfee0/atWsnb775pkyfPl22b98uYWGZr93iiQDTI/5V0xz+H/+p0sQ3F6NLciBF/MRXin63kmXpiIkB74iUri6ScMa22J299UVbfqxA16exz0Nzwye2f7AndolMvjghmCXZFxXMiv7uzhwVqdjUVtipU9brJ+bCFECR/7T2bN4Y2+KXaWuPCtjN8c9KRZ+T0tx3j3Ty3SjTk7uaYvE4CZDY1OISK8GyPKWRmXNIP7SelwCJklISLHESKmelVoVg2RJTXE5fmKexU53yZpJGrbs5Fhtv5rpZ+HhXM4O33ZHo8ybwlAjwtw0m0QU4tTVQh3rvPCKt2rSVgQMHym+//SZ+fn5uCzKWDzAaWtq0aSOTJ082t1NSUiQiIkIeeugheeqpC90CHgowh/ZslZQdcyRi+VjHtoZxn7i0hFzRoLx08tssg3dfmP4dRY82FWsNgg5TLeUFk07pvwrt2tOiSO3m2Pe37bZ2gek/NqWjW9ZPvRB+fESGzBXZ8bvI0c22NwNd9mDp2yKhVW0jspR2gzS42tZaERspUrunrdhSu9pU6yG2bj2lAVCfOz0H14is+tDWktfiNpGg0rZ6Iv20u/lHW5dThQYXu2GUfvrWLh2lx1Cmpu3xrRI0UXD0da/Fwvr60g8mr2fcBVRUbEypIRE+x6W0j+uK9GrtkWRp9cFZWbNmjVStWlVeffVV02vijiBj6QCTkJAgwcHB8v3338uAAQMc2wcPHixRUVHy888/X/I98fHx5mKnP3i1atXkwIEDbg8wq9+9V1pHzXHZ1jpuinw6tKs0rWqbqdMhJUUSVnwgSQm2eSeCm15lm0RMi0Ij2tqKwBa+KJLkNJqhYjPblPBWVLWdrVn03PH07y9TyzYBYIxtKKILHUWgb4r6xqdvhNd/ZNu+9jPbm56q21ek06MicTG2NzmtY9E5UZLjRErXEOk7QeTwOluTvbYahFa5dCE5fclrN8mWGSIndtpmrRU/Ww2NftrWETxnIm0zd2oNjr7Z6nHpJ3cdsqxDLsMb27q7AHgnbYnQ/z8aaDTwat2chnX93x5W3xbI6/UTOb7V1n2uw9p1dJj+v9KCYotbH5ksXT87ZwLMZZddZrYdO3bMJcg88MADptFBw0hOA4w2WOj7fabfm1oIHTp0yJRoLF261GX7qFGjUtu2bZvu9zz33HO2sg4unANeA7wGeA3wGuA1kFoQ52DNmjWXvB9v3LgxtUKFCnl+7AMHDmSaFYrMTLxPP/20jBw50nFbu5xOnTol5cqVy9YEbzmhXVurVuVhGm8PPVduHyun35fd/bOzX1b7pHe/Pb3nR+tbfiuo11ZheF3l9Hs9/bqy8muL15V7zk9uXzdF8XW1fv166dq1q8s2bYHRgTfvvPOOaYEZNWpUrlpgtGMoNjZWKlfOfJBMoQww5cuXNz/80aOuFdh6u2LF9GsNAgMDzcVZ6dJpunPcRI+toF5k7nyu3D5WTr8vu/tnZ7+s9snsft1ulX8GBf3aKgyvq5x+b2F5XVnxtcXryj3nJ6+vm6L0uipZsmSGwUUbE/JazJud0FMox/MFBARIq1atZMGCBS4tKnq7Q4cO4mnDhw+35HPl9rFy+n3Z3T87+2W1T0H+LgpCQf08heF1ldPv5XWVe7yuCua15W3/r9RLL70kNWvWlPfff98El3379sn48ePdPjeMZYp47cOotWhXT4rO/aLDqL/77jvZtm2bhIe7fwpnFB0FMoQeXonXFnhd5f88MNlVKLuQ1M033yzHjx+XMWPGmInsWrRoIXPmzCG8IEvalfjcc89d0qUI5BWvLeQHK76umjRpIj/88EO+zMRr+RYYAAAAS9XAAAAAZIYAAwAALIcAAwAALIcAAwAALIcAAwAALIcAA68zc+ZMqV+/vtStW1c++ujCgpFAHl133XVSpkwZueGGGziXcBtdXkCHKjdq1MjMuzJ9+nTO7gUMo4ZXSUpKMv8I/vjjDzPZnc74vHTpUrNmFpAXf/75p1m/5fPPP5fvv/+ekwm3OHLkiFlGR+dC0znR9H/Wjh07pESJEl5/hmmBgVdZuXKlNG7cWKpUqWLW8ujXr5/MnTvX04eFIkA/JeuspIA7VapUyYQXpWsB6lqBulAx6EKCxSxatEj69+9vVinVVcZnzJhxyT5TpkyRGjVqSFBQkLRr186EFrvDhw+b8GKnXx86dKjAjh9F83UFFMRra82aNZKcnGxWrgYBBhZz9uxZad68ufmDz2gNLV1QTKflXrt2rdm3T58+ZrVUgNcVrPo/S1tdBg0aJB988EEBHbkF6FICgBXpy/enn35y2da2bdvU4cOHO24nJyenVq5cOXXChAnm9pIlS1IHDBjguP+RRx5J/frrrwvwqFEUX1d2f/zxR+rAgQML7FjhHa+tuLi41M6dO6d+8cUXBXq8hR01MCgyEhISTBNrr169HNt8fX3N7WXLlpnburL5pk2bTLfRmTNn5LfffjOfdoC8vK6A/Pqfpbnnrrvukh49esidd97JiXZCgEGRceLECdM/HB4e7rJdb2v1vvL395fXXntNunfvbgrjHn/8cUYgIc+vK6VvOjfeeKPMnj1bqlatSriBW/5nLVmyxHQzae2M/s/Sy8aNGzm7+v+cswBvc80115gL4E7z58/nhMLtOnXqJCkpKZzZdNACgyJDhxf6+fmZOROc6W0dfgjwukJhwv+svCHAoMgICAgwkzwtWLDAsU0/uejtDh06ePTYYF28rsBrq3CiCwmWooW3u3btctzeu3evrF+/XsqWLSvVqlUzwxEHDx4srVu3NgW7b775phnGePfdd3v0uFG48boCry0L8vQwKCAndJiqvmzTXgYPHuzYZ9KkSanVqlVLDQgIMEMUly9fzkkGryt4BP+z8g9rIQEAAMuhBgYAAFgOAQYAAFgOAQYAAFgOAQYAAFgOAQYAAFgOAQYAAFgOAQYAAFgOAQYAAFgOAQYAAFgOAQYAAFgOAQaAJXTr1k18fHzMRRfw9JS77rrLcRwzZszw2HEA3o4AA8Ayhg4dKkeOHJEmTZq4bI+MjJRHHnlE6tSpI0FBQRIeHi6XX365vPvuu3Lu3LlsPXb//v2lb9++6d63ePFiE1j++ecfeeutt8wxAPAsfw8/PwBkW3BwsFSsWNFl2549e0xYKV26tLz00kvStGlTCQwMlI0bN8oHH3wgVapUkWuuuSbLxx4yZIgMHDhQDh48KFWrVnW579NPP5XWrVtLs2bNzO3Q0FB+a4CH0QIDIEf27dtnWiN++OEH6dKlixQvXlzatGkj+/fvNy0V7du3N0GjZ8+eEhUVle9n98EHHxR/f39ZvXq13HTTTdKwYUOpVauWXHvttTJr1izTsqJSUlJkwoQJUrNmTXPMzZs3l++//97xOFdffbVUqFBBPvvsM5fHP3PmjEyfPt0EHACFBwEGQI5s2LDBXGv3jLZ4LF26VI4ePSp33HGHvPzyyzJ58mT5448/zH7acpGfTp48KXPnzpXhw4dLiRIl0t1Hw5bS8PLFF1/Ie++9J5s3b5bHHnvMHPNff/1l7tcQNGjQIBNgUlNTHd+v4SU5OVluvfXWfP1ZAOQMXUgAckQLaMuWLSvTpk2TcuXKmW1du3aVv//+2wQDbX1R2iqjtSn5adeuXSZs1K9f32V7+fLlJS4uznyt4WbcuHEmbM2fP186dOhgtmsrjR7z+++/b45f3XPPPTJx4kQTarRoWGkI064luo2AwoUWGAA5oi0r1113nSO8KO0+uvnmmx3hxb5Nu2s8YeXKlSZoNW7cWOLj403Q0WLeK664QkqWLOm4aIvM7t27Hd/XoEED6dixo3zyySfmtn6fdovRfQQUPgQYADmiwaBdu3aXhBqtfbHT1o/t27ebOhOlrR721pi1a9eaFo3MtmeXjjrSLiJ9LmfauqL3aa2LvY5FaU2MHr/9smXLFpc6GKVhRet7YmNjTetL7dq1HS00AAoPAgyAbIuJiTFFvC1btnRs27t3r0RHR7ts0xFA2rWjI4L0+tixY47RQ3qfjubJaHtOaCuQtqpo3c3Zs2cz3K9Ro0ZmZJK2Cmmwcb5ERES47KuFwL6+vjJ16lTTQqPdSvY6GgCFBzUwALJNW1r8/Pxc5mGx18RUr17dZZu2XGg3jXbROHclaVDRbhod/pze9px65513zDBqHeY8duxYE4I0gKxatUq2bdsmrVq1klKlSskTTzxhCnd1NFKnTp1M6FqyZImEhITI4MGDHY+nx6zdYU8//bQJbDpxHYDChxYYADkKMFowq5PFOW9zbn2xb7N3H+nkb9oSY7du3TpzO6PtOaVBSb+3V69eJnTo82qYmTRpkgkt48ePN/vp9bPPPmtGI+lQa520TruU0qvT0W6k06dPS58+faRy5co5PiYA+c8n1Xm8IAC42fPPP2/qXHTYtbaKdO/e3bRsaKBIb7u2nqRHRwW1aNFC3nzzzULxO9JupZ9++kkGDBjg6UMBvBItMADylba0aDDRlhEtiq1UqZKpL8loe1bdRdrFo91NnvLAAw+YYwDgWbTAAMhX2l2jXTzO3U6Zbc/IoUOH5Pz58+bratWqSUBAgHiCFh5r8FIaujKaQA9A/qKIF0C+0ZFBWvSbNqRktD0zuqZRYRAWFmYuADyLFhgAAGA51MAAAADLIcAAAADLIcAAAADLIcAAAADLIcAAAADLIcAAAADLIcAAAADLIcAAAADLIcAAAADLIcAAAADLIcAAAACxmv8DnK3xJDVogLAAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "small_computed[\"DoubleMuon\"][\"mass\"].plot1d(ax=ax)\n",
    "ax.set_xscale(\"log\")\n",
    "ax.legend(title=\"Dimuon charge\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "full_tg, rep = apply_to_fileset(\n",
    "    data_manipulation=MyProcessor(\"dask\"),\n",
    "    fileset=preprocessed_available,\n",
    "    schemaclass=BaseSchema,\n",
    "    uproot_options={\"allow_read_errors_with_report\": (OSError, ValueError)},\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Dask automatically uses a client if there is one alive to compute. If you haven't destroyed the `client/cluster` above, this computation will use it. Look at the dask docs about how to configure computation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 2 s, sys: 152 ms, total: 2.15 s\n",
      "Wall time: 3.08 s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "out, rep = dask.compute(full_tg, rep)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'DoubleMuon': {'entries': 29308627,\n",
       "  'mass': Hist(\n",
       "    StrCategory(['opposite', 'same'], name='sign'),\n",
       "    Regular(1000, 0.2, 200, transform=log, name='mass', label='$m_{\\\\mu\\\\mu}$ [GeV]'),\n",
       "    storage=Int64()) # Sum: 14378856.0 (14397111.0 with flow)},\n",
       " 'ZZ to 4mu': {'entries': 1499064,\n",
       "  'mass': Hist(\n",
       "    StrCategory(['opposite', 'same'], name='sign'),\n",
       "    Regular(1000, 0.2, 200, transform=log, name='mass', label='$m_{\\\\mu\\\\mu}$ [GeV]'),\n",
       "    storage=Int64()) # Sum: 288707.0 (289326.0 with flow)}}"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "out"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "out[\"DoubleMuon\"][\"mass\"].plot1d(ax=ax)\n",
    "ax.set_xscale(\"log\")\n",
    "ax.legend(title=\"Dimuon charge\")\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "awkward-coffea",
   "language": "python",
   "name": "awkward-coffea"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.13.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}