{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import sys"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "sys.path.insert(0, '/golem/database')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import logging"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "rootLog = logging.getLogger()\n",
    "rootLog.setLevel(logging.INFO)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from multiprocessing import Process\n",
    "from multiprocessing.pool import Pool"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import gc"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def process_shot(shot, remove_offset=True):\n",
    "    from pygolem_lite import Shot\n",
    "    import hxr_integral\n",
    "    if not isinstance(shot, Shot):\n",
    "        shot = Shot(shot)\n",
    "    return [shot.shot_num, hxr_integral.integrate_hxr(shot, remove_offset),\n",
    "            shot['toroidal_field_mean'], shot['ub'], \n",
    "            shot['plasma_current_mean'], shot['ucd'], shot['tcd'],\n",
    "            shot['safety_factor_mean'],\n",
    "            shot['working_gas'], shot['pressure'],\n",
    "            shot['plasma_life'],\n",
    "           ]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def process_runner(shot):\n",
    "    gc.collect()\n",
    "    print(shot)\n",
    "    try:\n",
    "        return process_shot(shot)\n",
    "    except:\n",
    "        return None"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Due to bug in `pygolem_lite` it is necessary to load the library in a subprocess"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "pool = Pool(4, maxtasksperchild=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "shots = range(27354, 26000, -1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27350\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27349\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27348\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27347\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27346\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27345\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27344\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27343\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27342\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27341\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27340\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27339\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27338\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27337\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27336\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27335\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27334\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27333\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27332\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27331\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27330\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27329\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27328\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27327\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27326\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27325\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27324\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27323\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27322\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27321\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27320\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27319\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27318\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27317\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27316\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27315\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27314\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27313\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27312\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27311\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27310\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27309\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27308\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27307\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27306\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27305\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27304\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27303\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27302\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27301\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27300\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27299\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27298\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27297\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27296\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27295\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27294\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27293\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27292\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27291\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27290\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27289\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27288\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27287\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27286\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27285\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27284\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27283\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27282\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27281\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27280\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27279\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27278\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27277\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27276\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27275\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27274\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27273\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27272\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27271\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27270\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27269\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27268\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27267\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27266\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27265\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27264\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27263\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27262\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27261\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27260\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27259\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27258\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27257\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27256\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27255\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27254\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27253\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27252\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27251\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27250\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27249\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27248\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27247\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27246\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27245\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27244\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27243\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27242\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27241\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27240\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27239\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27238\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27237\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27236\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27235\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27234\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27233\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27232\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27231\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27230\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27229\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27228\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27227\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27226\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27225\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27224\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27223\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27222\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27221\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27220\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27219\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27218\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27217\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27216\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27215\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27214\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27213\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27212\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27211\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27210\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27209\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27208\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27207\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27206\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27205\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27204\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27203\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27202\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27201\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27200\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27199\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27198\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27197\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27196\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27195\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27194\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27193\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27192\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27191\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27190\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27189\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27188\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27187\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27186\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27185\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27184\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27183\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27182\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27181\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27180\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27179\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27178\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27177\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27176\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27175\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27174\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27173\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27172\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27171\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27170\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27169\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27168\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27167\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27166\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27165\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27164\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27163\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27162\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27161\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27160\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27159\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27158\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27157\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27156\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27155\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27154\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27153\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27152\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27151\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27150\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27149\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27148\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27147\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27146\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27145\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27144\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27143\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27142\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27141\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27140\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27139\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27138\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27137\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27136\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27135\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27134\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27133\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27132\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27131\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27130\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27129\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27128\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27127\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27126\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27125\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27124\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27123\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27122\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27121\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27120\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27119\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27118\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27117\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27116\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27115\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27114\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27113\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27112\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27111\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27110\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27109\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27108\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27107\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27106\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27105\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27104\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27103\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27102\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27101\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27100\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27099\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27098\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27097\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27096\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27095\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27094\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27093\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27092\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27091\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27090\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27089\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27088\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27087\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27086\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27085\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27084\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27083\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27082\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27081\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27080\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27079\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27078\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27077\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27076\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27075\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27074\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27073\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27072\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27071\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27070\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27069\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27068\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27067\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27066\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27065\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27064\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27063\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27062\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27061\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27060\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27059\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27058\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27057\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27056\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27055\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27054\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27053\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27052\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27051\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27050\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27049\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27048\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27047\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27046\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27045\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27044\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27043\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27042\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27041\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27040\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27039\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27038\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27037\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27036\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27035\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27034\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27033\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27032\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27031\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27030\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27029\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27028\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27027\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27026\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27025\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27024\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27023\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27022\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27021\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27020\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27019\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27018\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27017\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27016\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27015\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27014\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27013\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27012\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27011\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27010\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27009\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27008\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27007\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27006\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27005\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27004\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27003\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27002\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27001\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "27000\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26999\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26998\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26997\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26996\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26995\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26994\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26993\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26992\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26991\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26990\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26989\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26988\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26987\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26986\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26985\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26984\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26983\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26982\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26981\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26980\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26979\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26978\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26977\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26976\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26975\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26974\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26973\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26972\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26971\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26970\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26969\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26968\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26967\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26966\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26965\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26964\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26963\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26962\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26961\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26960\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26959\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26958\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26957\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26956\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26955\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26954\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26953\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26952\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26951\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26950\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26949\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26948\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26947\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26946\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26945\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26944\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26943\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26942\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26941\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26940\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26939\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26938\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26937\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26936\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26935\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26934\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26933\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26932\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26931\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26930\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26929\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26928\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26927\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26926\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26925\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26924\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26923\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26922\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26921\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26920\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26919\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26918\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26917\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26916\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26915\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26914\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26913\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26912\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26911\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26910\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26909\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26908\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26907\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26906\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26905\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26904\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26903\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26902\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26901\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26900\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26899\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26898\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26897\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26896\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26895\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26894\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26893\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26892\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26891\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26890\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26889\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26888\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26887\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26886\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26885\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26884\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26883\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26882\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26881\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26880\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26879\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26878\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26877\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26876\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26875\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26874\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26873\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26872\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26871\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26870\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26869\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26868\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26867\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26866\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26865\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26864\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26863\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26862\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26861\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26860\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26859\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26858\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26857\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26856\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26855\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26854\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26853\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26852\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26851\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26850\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26849\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26848\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26847\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26846\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26845\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26844\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26843\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26842\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26841\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26840\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26839\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26838\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26837\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26836\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26835\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26834\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26833\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26832\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26831\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26830\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26829\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26828\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26827\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26826\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26825\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26824\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26823\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26822\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26821\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26820\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26819\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26818\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26817\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26816\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26815\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26814\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26813\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26812\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26811\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26810\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26809\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26808\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26807\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26806\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26805\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26804\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26803\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26802\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26801\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26800\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26799\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26798\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26797\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26796\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26795\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26794\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26793\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26792\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26791\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26790\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26789\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26788\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26787\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26786\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26785\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26784\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26783\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26782\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26781\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26780\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26779\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26778\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26777\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26776\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26775\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26774\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in greater\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26773\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26772\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26771\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26770\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26769\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26768\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26767\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26766\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26765\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26764\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26763\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26762\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26761\n",
      "hxr\n",
      "26760\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26759\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26758\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26757\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26756\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26755\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26754\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26753\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26752\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26751\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26750\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26749\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26748\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26747\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26746\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26745\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26744\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26743\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26742\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26741\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26740\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26739\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26738\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26737\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26736\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26735\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26734\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26733\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26732\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26731\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26730\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26729\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26728\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26727\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26726\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26725\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26724\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26723\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26722\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26721\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26720\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26719\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26718\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26717\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26716\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26715\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26714\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26713\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26712\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26711\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26710\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26709\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26708\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26707\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26706\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26705\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26704\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26703\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26702\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26701\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26700\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26699\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26698\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26697\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26696\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26695\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26694\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26693\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26692\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26691\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26690\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26689\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26688\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26687\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26686\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26685\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26684\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26683\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26682\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26681\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26680\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26679\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26678\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26677\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26676\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26675\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26674\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26673\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26672\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26671\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26670\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26669\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26668\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26667\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26666\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26665\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26664\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26663\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26662\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26661\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26660\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26659\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26658\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26657\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26656\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26655\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26654\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26653\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26652\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26651\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26650\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26649\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26648\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26647\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26646\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26645\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26644\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26643\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26642\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26641\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26640\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26639\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26638\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26637\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26636\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26635\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26634\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26633\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26632\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26631\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26630\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26629\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26628\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26627\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26626\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26625\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26624\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26623\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26622\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26621\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26620\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26619\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26618\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26617\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26616\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26615\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26614\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26613\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26612\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26611\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26610\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26609\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26608\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26607\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26606\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26605\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26604\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26603\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26602\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26601\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26600\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26599\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26598\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26597\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26596\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26595\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26594\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26593\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26592\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26591\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26590\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26589\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26588\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26587\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26586\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26585\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26584\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26583\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26582\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26581\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26580\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26579\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26578\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26577\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26576\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26575\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26574\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26573\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26572\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26571\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26570\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26569\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26568\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26567\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26566\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26565\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26564\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26563\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26562\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26561\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26560\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26559\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26558\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26557\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26556\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26555\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26554\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26553\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26552\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26551\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26550\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26549\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26548\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26547\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26546\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26545\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26544\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26543\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26542\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26541\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26540\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26539\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26538\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26537\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26536\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26535\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26534\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26533\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26532\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26531\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26530\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26529\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26528\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26527\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26526\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26525\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26524\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26523\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26522\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26521\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26520\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26519\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26518\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26517\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26516\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26515\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26514\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26513\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26512\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26511\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26510\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26509\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26508\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26507\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26506\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26505\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26504\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26503\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26502\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26501\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26500\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26499\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26498\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26497\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26496\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26495\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26494\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26493\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26492\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26491\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26490\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26489\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26488\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26487\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26486\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26485\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26484\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26483\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26482\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26481\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26480\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26479\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26478\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26477\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26476\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26475\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26474\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26473\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26472\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26471\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26470\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26469\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26468\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26467\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26466\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26465\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26464\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26463\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26462\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26461\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26460\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26459\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26458\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26457\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26456\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26455\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26454\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26453\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26452\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26451\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26450\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26449\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26448\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26447\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26446\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26445\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26444\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26443\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26442\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26441\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26440\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26439\n",
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     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26438\n",
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     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26437\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26436\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26435\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26434\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26433\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26432\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26431\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26430\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26429\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
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    },
    {
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     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
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      "26375\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26374\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26373\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26372\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26371\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26370\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26369\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26368\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26367\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26366\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26365\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26364\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26363\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26362\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26361\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26360\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26359\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26358\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26357\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26356\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26355\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26354\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26353\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26352\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26351\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26350\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26349\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26348\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26347\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26346\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26345\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26344\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26343\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26342\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26341\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26340\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26339\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26338\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26337\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26336\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26335\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26334\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26333\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26332\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26331\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26330\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26329\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26328\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26327\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26326\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26325\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26324\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26323\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26322\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26321\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26320\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26319\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26318\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26317\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26316\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26315\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26314\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26313\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26312\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26311\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26310\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26309\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26308\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26307\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26306\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26305\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26304\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26303\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26302\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26301\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26300\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26299\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26298\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26297\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26296\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26295\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26294\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26293\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26292\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26291\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26290\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26289\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26288\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26287\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26286\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26285\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26284\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26283\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26282\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26281\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26280\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26279\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26278\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26277\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26276\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26275\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26274\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26273\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26272\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26271\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26270\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26269\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26268\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26267\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26266\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26265\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26264\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26263\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26262\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26261\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26260\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26259\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26258\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26257\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26256\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26255\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26254\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26253\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26252\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26251\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26250\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26249\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26248\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26247\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26246\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26245\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26244\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26243\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26242\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26241\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26240\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26239\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26238\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26237\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26236\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26235\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26234\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26233\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26232\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26231\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26230\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26229\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26228\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26227\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26226\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26225\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26224\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26223\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26222\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26221\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26220\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26219\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26218\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26217\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26216\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26215\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26214\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26213\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26212\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26211\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26210\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26209\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26208\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26207\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26206\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26205\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26204\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26203\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26202\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26201\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26200\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26199\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26198\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26197\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26196\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26195\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26194\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26193\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26192\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26191\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26190\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26189\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26188\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26187\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26186\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26185\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26184\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26183\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26182\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26181\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26180\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26179\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26178\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26177\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26176\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26175\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26174\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26173\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26172\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26171\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26170\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26169\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26168\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26167\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26166\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26165\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26164\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26163\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26162\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26161\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26160\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26159\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26158\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26157\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26156\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26155\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26154\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26153\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26152\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26151\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26150\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26149\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26148\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26147\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26146\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26145\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26144\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26143\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26142\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26141\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26140\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26139\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26138\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26137\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26136\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26135\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26134\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26133\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26132\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26131\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26130\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26129\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26128\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26127\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26126\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26125\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26124\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26123\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26122\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26121\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26120\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26119\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26118\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26117\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26116\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26115\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26114\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26113\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26112\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26111\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26110\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26109\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26108\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26107\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26106\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26105\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26104\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26103\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26102\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26101\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26100\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26099\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26098\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26097\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26096\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26095\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26094\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26093\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26092\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26091\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26090\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26089\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26088\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26087\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26086\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26085\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26084\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26083\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26082\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26081\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26080\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26079\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26078\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26077\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26076\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26075\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26074\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26073\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26072\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26071\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26070\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26069\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26068\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26067\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26066\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26065\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26064\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26063\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26062\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26061\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26060\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26059\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26058\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26057\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26056\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26055\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26054\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26053\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26052\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26051\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26050\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26049\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26048\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26047\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26046\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26045\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26044\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26043\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26042\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26041\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26040\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26039\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26038\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26037\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26036\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26035\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26034\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26033\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26032\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26031\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26030\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26029\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26028\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26027\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26026\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26025\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26024\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26023\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26022\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26021\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26020\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26019\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26018\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26017\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26016\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26015\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26014\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26013\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26012\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26011\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26010\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26009\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26008\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26007\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26006\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26005\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26004\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26003\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26002\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n",
      "hxr_integral.py:15: RuntimeWarning: invalid value encountered in less\n",
      "  offset = np.mean(hxr[t < hxr.plasma_start - 2e-3])\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.\n",
      "  warnings.warn(\"Mean of empty slice.\", RuntimeWarning)\n",
      "/opt/anaconda2/lib/python2.7/site-packages/numpy/core/_methods.py:68: RuntimeWarning: invalid value encountered in true_divide\n",
      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "26001\n",
      "hxr\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/golem/database/pygolem_lite/pygolem_lite.py:191: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  args.update( {'tvec_err': None if 'tvec_err' not in data_0 or data_0['tvec_err']==None else data_0['tvec_err'],\n",
      "/golem/database/pygolem_lite/pygolem_lite.py:192: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.\n",
      "  'data_err': None if 'data_err' not in data_0 or data_0['data_err']==None else data_0['data_err'] } )\n"
     ]
    }
   ],
   "source": [
    "res = [pool.apply(process_runner, args=(i,)) for i in shots]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1354"
      ]
     },
     "execution_count": 79,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(res)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "good_res = [r for r  in res if r is not None]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1047"
      ]
     },
     "execution_count": 81,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(good_res)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "df = pd.DataFrame(np.asarray(good_res), \n",
    "                  columns=['shot', 'hxr', 'Bt', 'UBt',\n",
    "                           'Ip', 'Ucd', 'Tcd', 'q', 'WG', 'p',\n",
    "                           'Tpl',\n",
    "                          ])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "df = df.set_index('shot')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "for c in df.columns:\n",
    "    if c != 'WG':\n",
    "        df[c] = pd.to_numeric(df[c], errors='coerce')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df['hxr'] *= 1e6"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df['Tcd'] -= 0.005\n",
    "df['Tcd'] *= 1e3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df['q'] = np.clip(df['q'], 0, 10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df['Ip'] *= 1e-3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df['Tpl'] *= 1e3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df['hxr/Tpl'] = df['hxr'] / df['Tpl']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "df = df[df['p']>0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>hxr</th>\n",
       "      <th>Bt</th>\n",
       "      <th>UBt</th>\n",
       "      <th>Ip</th>\n",
       "      <th>Ucd</th>\n",
       "      <th>Tcd</th>\n",
       "      <th>q</th>\n",
       "      <th>WG</th>\n",
       "      <th>p</th>\n",
       "      <th>Tpl</th>\n",
       "      <th>hxr/Tpl</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>shot</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>27354</th>\n",
       "      <td>5.784997</td>\n",
       "      <td>0.391038</td>\n",
       "      <td>1300.0</td>\n",
       "      <td>4.31499</td>\n",
       "      <td>400.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.07804</td>\n",
       "      <td>H</td>\n",
       "      <td>25.4256</td>\n",
       "      <td>23.10</td>\n",
       "      <td>0.250433</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27353</th>\n",
       "      <td>10.294616</td>\n",
       "      <td>0.391762</td>\n",
       "      <td>1300.0</td>\n",
       "      <td>4.08959</td>\n",
       "      <td>400.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.31077</td>\n",
       "      <td>H</td>\n",
       "      <td>25.4093</td>\n",
       "      <td>23.02</td>\n",
       "      <td>0.447203</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27352</th>\n",
       "      <td>11.756489</td>\n",
       "      <td>0.394107</td>\n",
       "      <td>1300.0</td>\n",
       "      <td>4.01649</td>\n",
       "      <td>400.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.41551</td>\n",
       "      <td>H</td>\n",
       "      <td>25.4760</td>\n",
       "      <td>23.74</td>\n",
       "      <td>0.495219</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27351</th>\n",
       "      <td>14.667777</td>\n",
       "      <td>0.395699</td>\n",
       "      <td>1300.0</td>\n",
       "      <td>3.90825</td>\n",
       "      <td>400.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.55613</td>\n",
       "      <td>H</td>\n",
       "      <td>25.2833</td>\n",
       "      <td>23.94</td>\n",
       "      <td>0.612689</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27350</th>\n",
       "      <td>6.387392</td>\n",
       "      <td>0.390315</td>\n",
       "      <td>1300.0</td>\n",
       "      <td>4.14999</td>\n",
       "      <td>400.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.23234</td>\n",
       "      <td>H</td>\n",
       "      <td>25.6508</td>\n",
       "      <td>23.22</td>\n",
       "      <td>0.275081</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             hxr        Bt     UBt       Ip    Ucd  Tcd        q WG        p  \\\n",
       "shot                                                                           \n",
       "27354   5.784997  0.391038  1300.0  4.31499  400.0  0.0  4.07804  H  25.4256   \n",
       "27353  10.294616  0.391762  1300.0  4.08959  400.0  0.0  4.31077  H  25.4093   \n",
       "27352  11.756489  0.394107  1300.0  4.01649  400.0  0.0  4.41551  H  25.4760   \n",
       "27351  14.667777  0.395699  1300.0  3.90825  400.0  0.0  4.55613  H  25.2833   \n",
       "27350   6.387392  0.390315  1300.0  4.14999  400.0  0.0  4.23234  H  25.6508   \n",
       "\n",
       "         Tpl   hxr/Tpl  \n",
       "shot                    \n",
       "27354  23.10  0.250433  \n",
       "27353  23.02  0.447203  \n",
       "27352  23.74  0.495219  \n",
       "27351  23.94  0.612689  \n",
       "27350  23.22  0.275081  "
      ]
     },
     "execution_count": 110,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>hxr</th>\n",
       "      <th>Bt</th>\n",
       "      <th>UBt</th>\n",
       "      <th>Ip</th>\n",
       "      <th>Ucd</th>\n",
       "      <th>Tcd</th>\n",
       "      <th>q</th>\n",
       "      <th>p</th>\n",
       "      <th>Tpl</th>\n",
       "      <th>hxr/Tpl</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>1025.000000</td>\n",
       "      <td>1046.000000</td>\n",
       "      <td>1046.000000</td>\n",
       "      <td>1036.000000</td>\n",
       "      <td>1046.000000</td>\n",
       "      <td>1046.000000</td>\n",
       "      <td>1036.000000</td>\n",
       "      <td>1046.000000</td>\n",
       "      <td>1026.000000</td>\n",
       "      <td>1025.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>7.646301</td>\n",
       "      <td>0.253151</td>\n",
       "      <td>964.583174</td>\n",
       "      <td>3.166802</td>\n",
       "      <td>486.411090</td>\n",
       "      <td>1.473266</td>\n",
       "      <td>4.462253</td>\n",
       "      <td>22.761184</td>\n",
       "      <td>11.982651</td>\n",
       "      <td>0.520736</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>18.245861</td>\n",
       "      <td>0.091461</td>\n",
       "      <td>205.575701</td>\n",
       "      <td>1.817735</td>\n",
       "      <td>115.899202</td>\n",
       "      <td>2.168723</td>\n",
       "      <td>2.431837</td>\n",
       "      <td>9.410865</td>\n",
       "      <td>5.063450</td>\n",
       "      <td>1.156346</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>-3.815311</td>\n",
       "      <td>0.032638</td>\n",
       "      <td>200.000000</td>\n",
       "      <td>0.086490</td>\n",
       "      <td>200.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.481670</td>\n",
       "      <td>2.658790</td>\n",
       "      <td>1.300000</td>\n",
       "      <td>-1.550939</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>-0.077025</td>\n",
       "      <td>0.195845</td>\n",
       "      <td>800.000000</td>\n",
       "      <td>1.484315</td>\n",
       "      <td>400.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.698130</td>\n",
       "      <td>18.657475</td>\n",
       "      <td>9.140000</td>\n",
       "      <td>-0.007397</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>0.696855</td>\n",
       "      <td>0.251356</td>\n",
       "      <td>900.000000</td>\n",
       "      <td>3.179415</td>\n",
       "      <td>450.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>3.538215</td>\n",
       "      <td>20.330300</td>\n",
       "      <td>12.200000</td>\n",
       "      <td>0.065421</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>6.680860</td>\n",
       "      <td>0.307777</td>\n",
       "      <td>1100.000000</td>\n",
       "      <td>4.452970</td>\n",
       "      <td>550.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>5.187047</td>\n",
       "      <td>25.472825</td>\n",
       "      <td>15.780000</td>\n",
       "      <td>0.531143</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>152.121047</td>\n",
       "      <td>0.486586</td>\n",
       "      <td>1300.000000</td>\n",
       "      <td>7.637150</td>\n",
       "      <td>1099.000000</td>\n",
       "      <td>15.000000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>67.645200</td>\n",
       "      <td>25.740000</td>\n",
       "      <td>8.209048</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               hxr           Bt          UBt           Ip          Ucd  \\\n",
       "count  1025.000000  1046.000000  1046.000000  1036.000000  1046.000000   \n",
       "mean      7.646301     0.253151   964.583174     3.166802   486.411090   \n",
       "std      18.245861     0.091461   205.575701     1.817735   115.899202   \n",
       "min      -3.815311     0.032638   200.000000     0.086490   200.000000   \n",
       "25%      -0.077025     0.195845   800.000000     1.484315   400.000000   \n",
       "50%       0.696855     0.251356   900.000000     3.179415   450.000000   \n",
       "75%       6.680860     0.307777  1100.000000     4.452970   550.000000   \n",
       "max     152.121047     0.486586  1300.000000     7.637150  1099.000000   \n",
       "\n",
       "               Tcd            q            p          Tpl      hxr/Tpl  \n",
       "count  1046.000000  1036.000000  1046.000000  1026.000000  1025.000000  \n",
       "mean      1.473266     4.462253    22.761184    11.982651     0.520736  \n",
       "std       2.168723     2.431837     9.410865     5.063450     1.156346  \n",
       "min       0.000000     1.481670     2.658790     1.300000    -1.550939  \n",
       "25%       0.000000     2.698130    18.657475     9.140000    -0.007397  \n",
       "50%       1.000000     3.538215    20.330300    12.200000     0.065421  \n",
       "75%       1.000000     5.187047    25.472825    15.780000     0.531143  \n",
       "max      15.000000    10.000000    67.645200    25.740000     8.209048  "
      ]
     },
     "execution_count": 112,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index([u'hxr', u'Bt', u'UBt', u'Ip', u'Ucd', u'Tcd', u'q', u'WG', u'p', u'Tpl',\n",
       "       u'hxr/Tpl'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 96,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "plt.rcParams['figure.dpi']=200"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 124,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def show_vars(df, x_vars=None):\n",
    "    if x_vars is None:\n",
    "        x_vars=[u'Bt', u'UBt', u'Ip', u'Ucd', u'Tcd', u'q', u'p', u'Tpl']\n",
    "    sns.pairplot(df, hue='WG', plot_kws=dict(alpha=0.5),\n",
    "             x_vars=x_vars,\n",
    "             y_vars=['hxr', 'hxr/Tpl'],\n",
    "            );"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 128,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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IkngLmiRJsm8hDSLrvSTptDLZIklqSSYI+MxL55meam1wND01ysvReTJBcERHJkmS+pF9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hjxM6ZNTMhcqi++1DPuUe7029dTUdLlrIR3ufxYkWGO5XIAjDCF0xMFUDJ3CHiZb4bZJIRtTt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\nH1DO2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Ouoy41rM2wf9vj07glSKaJE4j/BQs2xDTr9gE/vnvDO1RoFs8jaQonD4T6t4bOJ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\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3xrx2dZqjlsnAVKgUdRRF5rsfHnDSGfPmzXlKeRWBhKHl0x267DaGVIsGfcvj7lbnXF1w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P2qqnH//BHjaEyOIEHYusVmZZU0T3nU22evf4ShGPzrnT/jjdprJF/CYefpernevqzfd70EW77m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\nX6qp3vAeJ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g9OyCfjYc1OpTU3mWKwDgDAOcb4AAB6D30zAJwpX9Lt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\nEGKgZLJleP7N41//RutES1Mmk6kA/8TN3pIQw1PXn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ZQia+ZVVT/g9XaBo4rHR48mebNT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UmQoTa6lBJVjQ/uw1vwg4iZcpq13Q66pmAaKooQx0xrBXEnphdGtHoeVkrD9WLDVU1TKOVS\nWKbGk402M6VzSHwokuXG6olfCkXIVm+Hnvs8ABZCkE9l2e83aLmd54+VEV/uPmIuN00oJKqMO0RP\nMqcbZ2S81ZTcLC/wJ0+/oN3z8PzDs7VhJOMRflUhlzboOz6hKnG9+HGeHzKbnaXZPH1E/zycZvR8\nVAptePiqtxwsQ2NpNoehiCt2EEpISEg4LyfLRp6Hx+ut8+1z3xDDxGDH9tnc69GzfYo5E0NPE4YR\nD541cL1wlDAzDZWposVkUcHzQ7q2x9Y+KCJzrkLTwb1WFbEUaaOj0ey4eMHpOhUnGTZfOXkWRbLa\n3KCQyrHbq9Ppe/TcAHcgM3QYSRRCEIYoIi7EWIZGylQpmXk+W1smzOe4M18aK26QEsq5FBlLv1Cx\n8SLeco7a44dP/5ivdp8AYOgKhm4e86gBSb3f4P99/Kdstnf4lRu/SCrMnPueExJ+OsT7iRCxl9TB\ndUwSF1+yKR11MsN+y8Z2Q6SUz72pBPyF9+Z5uNrkwfI+2bSBqgpsxycIInLpuAmq7wY4XsB+22Fl\nu8PCdI43b03wo883sd2AVtfl2nSWSEqmyhk++moH78BarmkKHdsnjODn71UOuTCc90z6choIXz6v\nwjqZ8IrzNbmKcVlurFCZnYJwvIDGV9xT/WLadpdbE9d50lg5lB8xVJ2scfI+6oc+e706TuBQyUyz\nWJyPJdeTX+CEV5wrU2w5T6HlyPf/X5d1LwkJCeMz1A1e3e5w+1qRDx9sH/r6UBs9mzZodj1SxvPl\nSQjQNZXtQSdPOZ865tUCzwP+YXJgr+VQzBj0HH8kV2ZocWHDDUOMMXVvgyjA9o+bQEYiOlZoAciZ\nGfb7DdzQ41Z5EVMz0RSVIAoxVQNFaGz31pnJVJ4bwwnY7u7zkbzPu5W30BSddEqna3svDIqbXY+i\nVmLCKrHXPG5wa+oqQSTZb/WxUho5yyBlqthuQLfvc71cIS+m6YeSH7w9Rylrntr1NexOO9XnZvie\nncHoeXiYOpic2tzrAvLKGj0nJCQkjMuLZCPHwXaCS5OyejkInm60aXZcerZHIWtiuwGbe91RQ8Bw\nb4mkxHEDVrc7mIZKOZ+ikDVpd10anfM1VByVZxHAxOB5HTeg3nHObNh8mfIsw7227/qjaw8T/peV\nZwiigL7nUjAL7HU6dOwefhCdUGg5TCTB9SPCyKdgZSlaBVq9Hi3N5smmNracW0pXWJorcP/x8wRN\nOqUxX8mg6hIhJFIKQl+wvt0bSRId5Lzecr7qHCq0AINfH3nY/+/Im/5g9zEAv3bjn0NLJlwSXiGe\n7yeCRuew75FA0HcD9loOaVNjppxBKIJG28Hz40LId+9WeLreYn2nQzqlI4BOzyNlqHh+iBeoOF44\nauwSxM1xtZUG4eD7P/hyC1VVSBkaX602iCLJ+2/M8KPPNnCdwfcJUFXBXsvm0Uabm3M5dHH8PHEe\nfpoNhN8UJ62T43IZHpwJryan5SrOg+27BFGAytnVJULFP7XQAtBxe7w59xpbvV2eNFZGn1eEwlSm\nTDldQFU0Ihlhuw7b3T3cII7Lum6fa3mV64U5ojD53U149bkyxRaAarWqA79JLAl2HagA1hm/XdZq\ntSv1ehMSvk0M5UF6ts/CTI7rM3mebR3XpRdCxIH7IW100FSB44UUsiaWqR0ah0dAtx8XVA7i+SHi\nSKLJC0J2Gn2ebrS5MVcYjayfhYiIKDp8DSEETbd1rNBiagYp3eR2egld1VhurrHd2yMIAzRVo2yV\nuF6cRwiBG7goQsUPY5PKRsfhSdDC7mlk/VnSlk5nI8A6Ianz/N5i48tHaz53b98imJI83t089JhS\nLsVeM75P2wmwnQBNFcyUM7x99zo3s7fY3QvJFhXKORP9hKmSg74rTwaj+WEUnWh4CVya0XNCQkLC\nt52zykae7bmulpSVH0Z0bJ9m16WQM9ltOrS68T6vqYKsFXdVCxHvgWEo6doejheysdejmDWZLKZo\ndl065/JMOS7Pctr05WmGzUMuQ57l6F4rEaNri8G9li9JBiciQsqIZtvHiPLkTZ9d7+y+QXkzgxHl\n6fUiUioI5Xy+QVEkuTmbY79pIwRMTmr0ZYdP1j+m0evFskSaSimT4a3rt0iLAnt7wcgM+7zecpqm\n8NHug8OFljF4sPuYmfw0709+hyBIfOUSXg2G+0kYyWO/l5GUOIOmtb4b0HeD0TqbTetMFS1cL2Rz\nv4cXRCheSC4dyw4zmCxsdb14PYoVf4iIPZwE8GS9yUw5zexkluXNNjMTaT74chvXC+k7Ab/8nQWa\nHZdISmwv5Ol6k5WtDl+tNFiaKzBTTnP72uWtcd8mDq6T5zlfXYYHZ8Kry0m5inM/l4yIiFDP+HhF\nETxur55aaIG4EfVpfZXpzAQ3igt0vB7Xi/OjXMlObw+hKGhCIa2leW3qJmEUsdXeIWOmuZabZaW1\nwe38reR3OOGV58oUH6rVqgX8PvDzg09dlVa9hISfeY7q0K9td7i7VEIIjhkBC04e65aRZKpoIYRg\nbadLGEajVEYYSQxdxdRVwjAiGHy/lPLEhUJVBI2OS7O2M9bkhIKCohwOOQICWk7n8OOEwlszVba7\ne9zfrdGwW4e+pqs6QRTy0eZ9BAo3ygsU9CI/qj3G9Z93an6184z3pibwA2NkJnlUrgQYGV/2bA83\niPiTn+zx3Xs3mVwq8nB3lXqvS8pQiSJJcKQTJGemmU1fY0a7wfKqQ7sbd49cm8oek2E5yXflIEcN\nLxcq2Uszek5ISEj4tjOObOSLn+tqSVlJYp8Wy9RGhZa0qZFLG8c6rhUhMHSVyWIaGUk6fY/moDAz\nUUhh2/7YpY6vk2c5afrytO7oy5BnOWmvtSwDZdAAYdunm0ufBwUFUNja79HsukyWShgFg/1+G9s/\n3bfG0g0m0nmU0OLpepeJfIp7i3lkdH7fIFUI3rtX5sOVGr/7xUO2m8djiLX9Bp+trFEp5vnO4m2y\nZ/qZAAAgAElEQVTeeWOevT2fd+6cbxK2G3X4bOvBsc+bmkElO4mhGqiKQhhFeKF3qNN2yGebD3i9\nfIcUiZxYwqvBcD+RcEhuRwBeeHxyLQjlaB29OV/k4692CUOJpop47RkUllVF4AcRfhCiKIJwcK4Q\nIp5s0bVYEvrzJ3vcvV5mu96n2/ept+Pn/virXe4ulWl2XVZ3uvQdn51Gf7ROpEyN3Xqf3Uaf7BU0\nsX8ZqELwnbvTfFTbGRWbz8JleHAmvNqclKs493MJZRAfnA1XOqw017/2MXkry4cbn9L3HX7l1s+z\n09vjw43P2entoas6qqJgKDpCCBp2m5XWOlPpCd6du8difp4vth6R0kwWcvPomBd9iQkJP1WuTLEF\n+E+AHxz4eA1YB5yTH56QkPDqcFiHXkpY2WxzZ6HIRMHi0Vpz1MEqiTsjnn8nVCbSXJ8rILY7/Pjz\nTQxdHXV4+kGEF0T0B1Ma1sD7xfXCuAP2hLvJpg3CMPYvGU5OnKU7QlM0LN2k6/ZGN+eEDn74PDGj\nCIV3Zu/ypPmMTw8c3jVFw1ANhAAncJEyouG06Lhd1tqbvDf7Jr/yxlt88Pgxe904udC2+0SajdMV\nI+m1/ZZNJCWlnEksBBC/a+2eBwgcN5ZR+/Fn+0yXLF5feJvUvE+PPeq9LqW0QFVVsqbFjdICft9g\nY83jj57t8P7rlVGx5aje/2m+KyfRs32+elbHdgPafZ8xfYqPPVej4zAzlT3/kyQkJCRcAY5KWV2E\ny5SyehkoQuD6Ybxv9Fwq5TR+ELFV72G7x7s0e05Ao+NimSoTBYtcxmCn0Sed0rD9EOUcyaTT5FmO\nmjofnWw5yEXlWcbda+8/3jtmLj0umqohpUq7F8uVrm33SRkaU/kKWi6k4bTxQp8okiiKwFB1Sqk8\nvqfQagT0nNj8ttl1SRsp8ONEz3l8g2zh8MMHH/Bgcx3HC1GV4/58Q7abbX6v/RHfvdngL997H+Mc\nfXiKAtv2Lvv9xuhzZavITH4aVVFYbqzS9XoEUYimqGSNzKFO27rdBGC/32Db3uOGleGShtMSEi7E\ncD9p9bwj62F8VhhydHLQ1BVyaZ1m14mn1k0dTRXx1IoQ6KpCu+fFagISNFVBGRRgdE3BD0OCQOK4\nNu++pvHOnSkersR/X6oi+KV35/ngy226fZ/13S7lvMnMRIat/R5SQqPjUswYNDouihCXssZ9GzEU\nwffuTvNks3NqE9yQyyrMJ7z6HMtVXABLN9EUDXmGQRkhoOE16Xv2qY/RVQ1f+nS9Pm/NVvnR6ke0\nnDYT6SIlq8BOdxcndPEjH1Vog4aHKXRF48HOI7Y7e1TLN1ltbtHwWlSM6cR3KOGV5ioVW/7Vwb+P\ngN+o1WqffpM3k5CQcHZO0qGXEla3OuQyBu+/XiEIJU82WkRhrIned3xyaZ3Xb5Tp9Hw+qm2zOJOP\nkx2DbIeU8cj6kCCUdPo+KUMlndLioswJh/SbcwX2B3JaY0ldRIKl0gK73Xr8sYCmfdjM+PXp2zxr\nrlHbH8pRCDK6RShDen58YAeYzU2z1dnF8X0kkj98+iP2p5u8e+NNdhslvlhfIZKxyd01rcpEIYNz\nY4Jn2x029/ts7vVIp7T4ACUEuqZg6CqOF+AN5AJ2GjY7DZs3lsrcu30Ps99Cy0MQgudKvrhv43jP\n69VBKOODUhCN9P51VRDCyGRzZjJDGEqaHQf/a+QyirkUnz/Zp9F2mJvMXGgU8fF6izvXy6jq5XR8\nJyQkJLyaHJeyOi+XIWX1MhECcpZOo+0yM5Gh3nZotF+sO267IWs7zxN2jbZLdbHEefJJR+VZhBAE\n0XN5zyCIDpk6l3KpQ/KeF5VnOcnjTNcUirkUVkp/PtmS0g7twXFn83iTugcRUqGoTRNGNSRx93rP\nCeg5AZqqkM8WSGmgqIJISgIf1hv+ofgL4hiibFRQw7jYMq5vkCc8fvjgA2qb6wjAMrTYay6MsL0g\nfl8H8Z+iCCxDQ1MVnuxu8U+/+gl/qfpzaPLs2vIAUpV8tvUlEDfLvD59G9u3+Wz7S5rO8amavX6D\n5eYaxVSeO+UlZvPTfLnziEhGfLb1BUu3FyFKkpkJrwLxfrLbsNE0ZSS1HElJFMlTJwdfWyzx1UqT\ndEoHGRdIpstpljfbmIaKF4QjvyQhBruMAFVV8IO40AKxnGCn6/G916dx/SBeH+cK3H+6z+eP97l1\nrYCuKaOJl+lSmu16fyQB3ey4FLImqrj4GvdtRRWC6rUC1ys5Gh2HxwN55+E+ZaU0bs0XKCVybD87\nHM1VXICl0hj7mRLnLL6OgpVjubHG69O3edpYpe/bIOBx/RlBFJIzM2T0NKqioioqQRjyrLGGKlRK\nVoGW0+ar+lNul5ZYbqxQmZ2CMFkPEl5drlKx5Qbxfv4ffZsKLdVq9a8C/y7wPjAJuMBT4IfA363V\nao++wdtLSLgUvk6HvtPz6PQ8dE2Jix6GQi5t8MXTOrqq8MGXO2wPEk+ViSzlfIq+EyCIExMnxY3O\nwEx3cSZP64gpZCFroqlilKQYR+pCSigZRdKGRd+ziWSEf0AXtWwVsX2bZ60NQhkBgqxhYQcuTuAO\ntNYFlp6KNeejCFUohDL+d6u7y669TzFf4FeLb/NocxMnCJieNFle75HPmai73dEUUBBK0imNVtfF\nCyJMXSWb1qlY+mgk/9Z8gflKjj/8cP2FQfaTQeFpt9EnbWn4kWS/4/KT2i6r222CMEJTFbJpg5tz\neTRVodV16fSOd2GrqqDb9+j0PRodjYl86twd1rYT4AUhpnGVtqyEhISE8fg6KatxuAwpq5dNJCWL\ns3m+WK6fudBykGHCrpA1uT6bHyWbxmUoz/Lhgx2+XK7T7Lh4wfG2TtcP6dk+hqZSzJm8vlS+kDyL\noohDHme5jEEhaxKEEU822rheSBjFEj6moR7bgw96nI1tDh9I7I5OKZ2h3u8dKtEFYUS9dbafRTmT\npdNSmc3He/U4vkGapvCT9cfUNg9KkMQSRrm0QVkxQEikFMgQXC86EFdKHmysMVec4P25N8byTfFC\nl7bbjeVfZ6s8qa+w3FwD4mkrVVFHM8TxlSRhFNJ02vz5xqfcKC7w1myVzzZrtN0uXuiikzrz9RMS\nfloM95N0SqOUS432FCFgspTG88MTJweFEOw1bRptF10TlHIpSnmTZtckiuRoAv4giognX4JAYugK\nKVOjnEuhqIL7Txt8+bROMW+iaQqViQyFrMlus08+Y7Dfcqi3XdIpnbSpEQ0koL0gxHEDspaGlFxo\njfs2E0USQxXMlCxmSmn8MCKSsYycrioMJzCT9+xng6O5ivOSNixKRuHMcWQQBdj+6bGCrmqUrDwo\nYAexL1tExE5vnyAKEAhaTmfURGoo+ujaASFb3V0KqVwsL+Y2yWpZgihAZbwGi4SEl8lVylwNI90f\nf6N3cUlUq9U08H8C/+LgUz7wjLjg8tbgv9+sVqv/Tq1W+z++mbtMSLgczqJD7wcRu424qHKtkqPR\ndmj1vFGhBeDZZovq9RIf1XYBTj1Qp02N24s5luYtgtDA8SI8V7K1Z3P7WpF2z+NAgyRP1tvMlNOc\nJaIwRYrF4jwPdh4hkUj5/B5m8tN8th13SEopyehxocUNno/wR1FEMZVnr9/AD30yRoaJdAFVUWk6\nHT7e+pw3Ju+w2tqkkp7mZq5CIHyebrRodFzu3Zxgsmjx1UqDds/DHHixALheSKvrUsyZvLZYGnTd\nqnzy1c6Zguxu30PTBAszOTp9n//vo3W6ts+zzfahZFO97bCy1aaQNbl9rcjCTI617c6ht0/wfOro\nYHfaeYik5JK8/hISEhJeaU6TshqHi0pZfRMoIp7aSKd0nm4c8XITDA7g8d4ysFAhkodlvOptl9nJ\nLGF0vkLLQSaLFguVHK4f4nVP34CslMZCJcdUybrQ9Rw/YnmzjRBxDFRvu/z5l9uj5gpdU2NpVCnx\ng/DEPfg8pvQQTx9vbnncnlrgx88ePH+Px+TO1AIray7zb8bXH8c3qBv0+XT16ehjQ1dJpQRS9el6\nLfwwQBIhUNAVjWw+hwh1HEfiDTr2P1l5wuvTS6TGKHaEMsQPA16fvj0qtGiDrlpJhOO7hDKKPQCF\nQBUKKd1EoBBGIU+bcSfv69O32ersEhImqZ+EV4bhftLux4VhPwjJZ002dnvst09WYtdUZdSQ5gcS\n01DZ2O2xWMnRdwP6jh+3hh5gGPPnswamHqsLhJHky6d1bi8U2Ws6ZCydnzzYoe8ETBRSvHlrktcW\nSvw/P14hjCT7LZuZcoZ23xutP/WOQ9bKMVyRzrvG/Sww9BY7OEl4VWREXwWEABRJEAVERCgoaIoG\nkbhSjStwOFdxXhaL85gidcjv6euIiIhOOKznzAx5K4svfR42npLSU3yx+5D9/j5SwmxuikhK2m6H\nttMlGPytR0qEIJZFU4QyKsYAZI0001MTRERcjjtNQsJPh6tUbFkB7nKVNBG+nv+VuNAigb8D/Fat\nVrMBqtXqXwD+IXAT+N+q1eqPa7Xas2/qRhMSLsq4OvStrsvrNyb4x3/y9NDndxo2t64VuXWtyOO1\n5rEgslJOc+t6Givnsets8Gm9j6oKoghypsX737vJVDrFjz+rs1vvjzpf+67Pa9eL5CzjhQkqKSU3\niouEhLTdNrqm0vdsmnYbVVFoOm0MVUdXNUIZm6nCcLJHUrKKKEKh5/WZzU8TSclmdwcncFGFSpM2\ndydvs97exQ09Hu9tUFI3mLhWYT6Y5POH+5RyJu/emUJVFbbrfQxdwfVCdFXBMFSWZvPk0ga6pvAn\nn26c+eckJUwWLP7si9gbZnE6h+0GJ3b1Dn9OHz7YZmk2T/V6iZXN9igglcQHNjjenTYuihBcktdf\nQkJCwivNUSmrcbmolNU3hRwUTw4WLZSBXJQkbq6QMp4sEAiEiKchBPF7Nny5UyXreRHmHPm4g1Je\nR2VOu31vNF0ST3gWUFVBu+vy+aM99pv2uWRuhIiTin3HZ3E2z5fLDVa2jktYHeWkPfg8pvQCaPc8\nKulJbk7O8GBzfdR8YhkGCxNlLENHU5WBpJfP6n4d23se092amkVzy+x03dHbflbfIEWB7Xad/W6c\nSCnkdDzRp+61cV0HJ3AJowMFD0WhG3QwlRQ5K08hlabV8dnvdtju1rmRnzuzb4oqVCYzpXgqubmG\nqRkEUUDH7RLJ2KNi5I4nJb4M8BwfRShYegpTM1hurjKZLjGRKaImqZ+EV4jhflJvObS6Lq4fst9y\naHZP70APwth7BaBcSKEqClv7PSIpmZvMUilnmCpJGu1YylAZSBlPFC3SZnzW22vadO1g5L2lafHf\nbd+NU6l7LYd/9uk6b9+e5C+8O88ffbyO7cbyYZapjSSggyAaFM/jextHjSAh4az4wqXhNVlurGL7\nLlEUoigqlm6yVFqgZBTjwsMrEFedpSgURZKl/AJ1u8lOZ/zGnUpukqX8wlivV0FBOXBYF0IwX6jQ\n9Fp8sfcVPa9PPpUlpZtsd3fouF2EEDSdFqZqUEoXmclZbHS249dABBLC0EMg0BQNTVFpOR12tH3k\ndLx/f2sywwnfSq5SseV3gL8F/AD43W/4Xi5EtVq9B/xrgw//m1qt9l8e/HqtVvujarX6bwA/AlLA\nvwf85y/1JhMSLpXxdOgdN2BxNs/cVJYn6y0sU+PadJaUoaEK+P6bFbJpnQ8fbOP5Eaoi+P47E0Sp\nJg92H2HXbUxDo2f7FLMmfhDihDY/2ejh2JJbkwtUi5N8/rCFH0V0+j6PV5u0et6pBoKKInClMwrG\nekGfre4OdaeBqZp8Z/4tnjZXsLQUgQwwNZOO2xnIaIRIoJwqkjezrLc2WSjM0XLa1J0WDJJHoYxQ\nkDxrrrJYqLDa2mImM0u92eNJ5wE3Jmd4743bfPRFi/2WQ8pQuT5ToFJO4/oBYSjpOT4fPtjBdgO+\nf2+GiUKK/dbJ3WtHqV4v8fmTfVa22ixM5wBodF78vcubcVLozkKR1a04WRKGkmzaoD7onDvanTYO\nVkrD0JIERkJCws8GQymrj2o7A636s5m0z05mLiRl9U0ikThubLh8e6HI8kaLKJK4fnhC4nyQiAtD\nFCVu6NBUwY25AkjwvJDn79LZOSrldVTmVFUFChAR73H7zf4h77Lzy9wInqy3uFbJnbnQcpCDe/B5\nTOl1LZYH/fxhi/feuE1Ukez3utycmSRlCpabq+zbffwoQFc0cmaa71cXcVzJk609cmaahfQtfvTR\nPq8tlEadsGf1DZIKfLL2GIBiQacT1qnbDZzAJTj6w5fgRyFO4KMpfXpBj7JVolgo02z5fLL2mKU3\n5+If0hkwVJO5XIV/+uSfYWoGfd/Bj3yEEANppJAIGRefhEBBoKlxPNL3bXRVJ62leFRf5ldv/iKG\naiLPrmKWkPBTRxWC96pTICQ/vh9Py2maghJJ8hkjNrgXseRzEEbx9EvGwA8jSlmT9d0OKUOj3fVI\nmw5d26PV9chnDApZA0NXsUydds/j4WoTP4hGf/X5jIHtBhSy5gnnCcFXK016dnxe+ZPPNmm0HW7M\n5WkMzg5SHl9BzrPGJSScRM/r89XeUx5uPztRcqvr9tjt1kkbFovFeZbyC6jRNzO7eDQP8aKikBrp\nvFu5xyfcZ3uMgkslN8k7lXtjv05N0bB0k64b+93dnlzkcfMZq+0NmnYbP/Qpp4ustNbp+zbKQEY9\nkhH9wKHf3qJsFbiWn2OjvYlADOK4OD70I59IRhiqTsNusdHZ4s2JN5L9NuGV5ioVW34L+DeB/6Ja\nrf6wVqtd3D30m+O7QB0oAX//pAfUarU/q1arz4DrwLsv8d4SEi6dcXXoi7kUH365zTt3pqheL9Hp\neTxZb7G930dVBA/XWnzn7jQzEzd5uNJkblbjcfshj59uYpkqKVOj2/dH156ZyBBGks39LlJCvXe4\ncKEqgoi4Y+r+4z3qLZv3qtMYg1aqUPF53F5lpbl+KBjLGVmc0GWttcmDvUdsd3dJ6SZpvUDTaeEE\nHhERlpaibBXRFY2u1+PO5E2abgcv9EhrKbwwDiAAIiRtt81ScZGOa7NU1Ngb6Ck/3dsC4M07t/m0\n1sTxQpY32+TSOnste/R6h5IaX600ePfO1JmKLROFFLYXsrLVwdDi9zCM5Jm1z5c320wULHIZg07P\no9lxuDmXHyWNjnanjcOt+cJoSiYhISHhZwFDEXzv7jRPNjs8Xm/FGvqnmLRPFi1uzZ/cKHBVUIRg\ndafDx1/t8IO3Z0HCl8svNniNInCjiNeXytxeKPCnn26CgPfvTo99D0Mpr6MclDl9EeeRufHDCFUI\n6m137ELL6LqDPThv6WOZ0gNoiuC1hRKP15p88qDNr/3C22wHz/hg7T4ba/vHHr/TbfB4f525wgTf\nq96jJK/xO7+/RhhJqksl2l1/LN8gN/Bp2z0KeY1OVGenv4sTxDGcgsDQtJGM3FA+zgsCgiii69mx\n3nsGCvkybbuHG/gYZxTzUiJBPpWjHzjYgUMggzixE/hIYglcFWVUt5NI3MCP5U1UjSAK6AcOEihY\neZRIkKieJrxqGIrg3TvT9Jz4t9P2QqSU1NsOnb5PFEkURWDqCpap8XNvzPKHP1llebNNytQwdJVm\n12Wv6TBVsthrOjTaDrahUcga2G7I2k6HMDz8B39zvsAffbxOIWPQdry4Zslw+j2Wjqw9azBZTFEp\np7HdACHipgKImwyOrmS2E4y9xiUkHKXtdvl463N2uvuHpjRPou/ZPNh5RMNu8k7lHnpkvqS7jDkt\nDzHktKKQIU2+M/s2W4Vt9nsN3CCWxWzZHfwwOPQcFy4oRYKl0gJ7vQb3Zm/z0eZ9Ptt+gBs+f28j\nGWH7DmEUEsmIaDipTLwm1O0WIJjLz7DZ3Tn+PsiQgS0vTugTRgFKItyZ8ApzZYottVptv1qt/qX/\nn703iY3szvP8Pv//22OP4L4zyUxRqdRSqpJU3a7qbmCm29OwLzYwDbQxMDAHw/DFl7m0L4YBn33y\n3YBhwFcbBmxjPMa4e6qmu0sqSaWUlCUxFyaTO4Nk7BFvf38fXjBIZjIzyVRSmVLF5yAoyVhevHh8\nv/37I51w+dXKysq/Wl1d/dWrPq4XYXV19X8hlQczVldXn5V5Pv7d93tHH/JactzV+rTFd687l9Gh\n13XB5EiW3cMutabLYdPjqOkSxwpDlyjgX//DOsWcxV/+cobt4AFht8NEJYMAvCCinLco5e3+Unqe\nmKo5XbhoNJMzAULaSVzlgzfHSbSAL/bvnDuGKxLJmDOCACayo2w1d2n4LaIkRzlTwosCClYOKdJC\nQaxiDM2gG/TYb1f7+t8aOTNDohRe5BEmEWESIaXA1HRqvTaOVcAPTgouowslRoo5jpoeSikyjgH9\nYosUAtvU6Xoh9baPpklsU8MLnh3+T4/mOKj38IKIkaKDLgVRoi6s1Qpwf6vBhzcnaHeDVDZAkxRz\nFs2Of2532kU4TtgMGTJkyB8ilqkxPZqlnLd4sN2k3QuIY4XWXxy+PFPEsXQs84c9/acUhEGMben8\n6vNt3rsxRrkwxeqj+jMbBkaKNisLZQxN8qvPt8lnTcIgvrSM2LGU10UaQp7Fi8jcJAocR+fzewff\n6b3vbzX4xbvTF15Kf4xSitnxLOW8zdKCzcePvmKrdUAuk2GpYlH3WmlTSD8ha2oGZbtAGEj+3Vd3\nmczX+fC9Zb6932G8lOHeRo03FioX3hsUqwQhIcal2kwLLYbUMHUdIUn3piTxqb0pGhk7nSAJoggv\nCtnvHrBQtBFk0uaVC373CYqDziG61IiTiCiOSFBoUkeIdOlv6gelF5QUAkNLJVGjJEaKY115jWr7\ngOXsEi+kXzdkyBUiRDqpPllxGC3Osl/v8eX9w8EuKF2TFLImSzNFXD+i1vKwTJ1r00XavYB6O/Xj\nWz2f2YkcRl/CUQjIOSaP9lMZYSkFUT+eGina9LyInpfGZPFj9wLb1Gl100Tst+t13l4e4f5W40yT\nl65LNCnOSBGmigFXf85O80OPwYecJZYhX+1+w6Fbv9Tz9tuH3OYO70+8871NuITSf2oe4nGOi0J+\n5LE0skDL67Be38SLfIIkJFIhURIxV5zGEDq9wCdRCYvlecpm8TtJpSkFZbPEWxPXuVd7yKc7Xz7x\nGNuw6AYuQohBfmEgDYtAkXDk1skYNpZm0gvSCRhxqokoVjEKPVUPIWHYijnkdea1K7asrKz8b895\nyBrwF8Dfrqys1ID7wJMl3idRq6ur//S7Ht/L5FmFlpWVlVFgsf/P338vBzTktURKgRcm1Noea9tN\nXC8iThI0me5BWZopUsnbr/0y3Kfp0D8ujaIJGC1l+NvPNvn2UeoEZSyd2bE8hiGpt32CMA26c47B\n/do631TXGS87TJQz1FveYDHj3lEXpRTj5cy5x3RcuHh76Qabj3WT7h52qXbabHv3TxycfuUmUcnA\nOdCQGNLAC32Kdh43colVQsfvMlOYpOm38KOAmtvAjTzmCtPsdw+IVCqXEhLhxT660HAMBxsLTUrc\nyCPnWCQqxtDPBu73Dza5NfkeR00PIcDSJaauEUSpdIpjaYRRQhDFrG03mBjJ8uicbt1jbFPDtnU6\neyEZ26Cct9KkBlxqyXCz4xP1C2JhlNDs+FyfLfHZt/vndqddhONFz0OGDBnyh0SQpLtD9ms9okQR\nJwkZSyfvGAgpUIkiThSP9tJ9YboU7I5kzkxl/pBIlCKbMYhjhRfE/MNXu0xUMry9NIJj6TzYbtLq\nBkRxMkgMLs8U6flROvla66FrgkysyGUMEqUuOeWTSnm9DC4rc6PJdBF18xl7FC5Cs+MTRQmXHQRV\nCko5iz/5cIJ//+AzHh6lzSh7hwFCCAq5IrYOUksTJFEI2/WQKE6Tog+8XRiDf/aLnxLFMaMl51J7\ngzQhyWV01o+O8KOQrGmRENMNu6mvdOZgH/ebbEwseoHPoXvE5MjkoMHlIkRJWqzJWzkOekf95yaE\nSYClWyxVFsgYNrrsT7GEHpvNHYLYTxf3IgmTiLyVw4vSRJY27LQd8tohaPdCvrh3yMZeC8fUmRrJ\nMjWaI47TeMH1Qj79Zp8gjJmbyDNRyfDNeo3RokO9nd6bkgRqTY/xstNv6BIowUACUggGkmQrC2Xu\nbdb7z1N92csUvX8vOb5HHDU9co5BzjYG9xVIVREev49KIV5oSv5F+LHE4ENOkFLwoLXJQbeGeIEL\nab99yLqzyY3C8pV/57EML1xogZM9Kfu9Q748+D1ZPYdUp+yhACE0Nuq7OIbNYmmWpdICWmwM9uZ9\nF9J9al2+2H1K6lId//1KJBJbt1KbK9KmD6US/CjgqNdgLFuhE/RIVIxQpM/p23ZDM0jVPYd/c0Ne\nb167Ygvwn3Cx6EQAI0Dlgo/9of01/g3p9xPxFKmxl4GUgkole1UvP+Q70vVC7m00eLTXouedGvcU\nkkhB2424ff+IjK2zMFngxnyJrP3qgjzZd1qedV398n2DT79JE0hBGKcTGC2fKE6lUW5dG+Gz1Srr\nu62+ZnbqtAdxDCLtlDpejnvjWobP9u7R7gU0uz7lvE0pZ3FU76EU+GFMxtLPHNvjbLV3+en8DfQj\nHf3UqSvlLba6W1T9A3RLEiUxXuTRcNtESTTosNSlTsHKkbUcHM+kG/YoyDw7rX3KE0X8KBiMwprS\nQJcabvRkQiVSMe2gg61ZXKvME0UxUkjc0GW8aFBvhQOnoun1sLIhuYyJJiWZjMlIyeGwcVJ3LuYF\n7W5Iz4uYGTcwnrHzZGY8T73lY5kaY2UHy0jPWaIUtmVcqoNsY7/N0kyRo6ZHlKQ7BJZnSxw2PBzH\nuFTxZqKS4e3ro2Rt40LX1pAhryvlcuZMZ9aQHy7fx72o64b87s4ehy2PRjeg2fHP7AZ5HENPpwg1\nXfL79To/f3vylfoCL0LPD8k5JkKAbWn4QSrdVa33sE2N2fE8s+PZkyXtfsw/fLWDF8R9SceE/U4A\nACAASURBVCeJZUqEgKxjks9bZKyLn4OeH6IQOI75nT+LQmBljAu/vx9GbB10n2mnB90Kgmc+bvOg\ny5/8dGZgxy/Dt/V7NMLG4Bq3TI0gTKi3zi8Cnb6l1f06yq6T1eZ598YYhezFh/L9KCST0WntdMjZ\nNm7k4Z3jJz1O6jd1cXSLnG3T8jtkMjrlQhZLv9i57wRdvNhF1zRGMmUOukeMOGWWKgvkrCyH3SP8\nKMBTPlJIsobDLxc+ouN3Was94sitM5YdwdA0/NjDyRrkzKGP8ir5Q7W3z7JN9bbH12tH7B6m95ko\nUewedomSBNeLiGLVj2vShOn6bovxSoZC1uKw6TI5kmWr2h6oB8xO5Gl1AwpZi0bbR8q0eBL3p9/e\nmC2hScneUaoqEMYJlqnR7ceyGVvH86PBfc3QJI/22oxVMnTdEEPXMHRJIWdhGmfvd6WiQ6WcuXJ5\n4ZcVgw/jl9eLdtChWq0O7JcQXNruV70qb05eo2TmruAIT/hy/xvaUetCxycQTObHWT28z1ZrFwCV\nUUxkx576nI32Fq5yeX/ybQrWd/8s92vrSCmwDZNRrUycxHTDHnGSNk3EKqZg52n4aQNoL3AJkvAk\npyI08nYOpRS2bmP0mxzgpNE1a2QwpI5lmGQci7w1/Jsa8vryOhZbNvjhFUZeKisrK/8p8K/6//wf\nV1dXV6/qvYQQaJfQlR7y/dHs+Hzy+z0O6n15qGd0X3hBzOpGnXrH58ObExRz37/yXBRHuFE46Pgx\npYGuPXmLKRccfroyzuerVb64d0DtlDxIpWDT7Abc32wAgjBKyDkG+YyBoWkolWr1JkphGRqx3uOg\n0+kXAwT1tk/WNsjY6aJGpcA0NJJEPTXwknpCJ2pjmebg/XIFRTYf8G/Xb6PrCj/xaHgtoiTC1i0M\nzUCTWn9Ra4QbeTTcJkuVBR41dgjjkKnCBJvNXRIVowudWMXkrRwN79l67F7sM1eY4lFjh5bbIWvk\n6IYdxioOB7WT5MPDxiaTo8vEcTr+P1py8IJ4IIFiaBrFnMDQNUxDe2bgOTeR57Dh4oxkzwQ1EkGl\naOP60VOf+zhdL0TXxOB6rdZ7vHVthFrLG0iZGbokn9XRdIUQCqUEcSRod6NBQnG8kuHDmxNPJGyG\n96whP0T0ZyVRh/wgucp70f3tBlvVNtsHHXpuNHi/pxHFiqNmeo9VwOiWzfsrE1dybFeFY+qYpkYp\nb+P6MZYBfghBFKfyMyIBDdD7kw4i3QMWJwpT17CMtOuxlLcxTQ3H1NEukYw7lrp8lq914dfqv95F\n318FAtOQF0oQC549JmoaEqXEpT47QMvrUAsOmBnLIYBmN0ATAssUhJEgipOnyuVU8hbTYzn2e/v8\n7OYblAvOpd7bRGMsW8LSDbzIw4+Cvor7xfCiVIrI0m3GsiVMXbvw55dC0A461N0GJbvArfE3iOKI\nau+IaveAqC9fdkw37NHy21i6xc2x6+iaznZrj5rbpOKUkOLy537Iy+UP3d6eZ5se7rRAKt5YzCE1\nSGLwA9g/8kBBuxfS9cKBDy6AT77e4xc/mWZrX9D1QmxTH/zeNrS0wC8FXhCha4IwSu99yzNFFqcL\n/Pp324OGuWbHZ26iQK3l41jpDqYgSlJZPl0iBdRaHkszRfaPepiGRilvYVtPxpHX50pY5tWmsK4i\nBh/GL68HNbeOF/ucrrZctjbrxT41t07JKbz8A+zT8jpstXYvPH0zkR1l9egBW+29wWdr+R3KTglL\nf3qx5rBX4/beHT6cfY+seb4SyEWOdae9x72jhzyoPernTGJ0qTGaqWBqJkEckKiE65UFVg8fEMZR\nXxKsb18VRIOpVZ1e2GOpMs+9o4cDG2zpJqZm4McBs4XJdKfa0N4OeY157Yotq6uri6/6GF4lKysr\n/znwPwES+NekEy5Xhjo1wjvk9aHrhnx8Z++JPSPPY++wyyd39r7XrtZ20OGwV2e9vokf+SQoJAJL\nt1gszzGaKZM/1fnR6vp8tlql54W8/8YYYZSwtt2k64YsTuX54u4BUgjmJ/Ns7qfLFtu9kJwDUZLg\n+XEqSTabZ7W6Dn25q6TfkXXUdJkYyVJreYCinLcGu00ep5izyFg6qwfrLGZvYpoatWifLw/2mIzz\n+LHPgdvES3qDsD+MQ6SQWLqFY9ho/ZHWht+m5XdwDBtF2iF20DuibBcxNZ1YSUzNoOm3n3k+xzIV\n2n6HutvE1E1s3aTp9nB0hW2ag8JHx3eZzgqSSCdJFLommRrNsHPQHRRcpBAUsiYjRZvpsexggmjQ\nQaJJbi1V+MkbY3xyZx/Xj564H2QsvR9EPb2r+jRRlK67O/069bbHn7w3w16tR8Nt0Y3brDc26fou\nUZKgS0nWclgcmSOr5Sk5BRam8mRtg7gvJyClQAgxvGddMUOn9WqIovgPstP2x8hV34va3YB7G3W2\nq51L7w/p9AK2q4qsrXNtqkg++92nNL4v4kRRyVs4lk4+a1CtuYyXHZYWHOxcyFptg13PJezFGLpG\nvujwp9fm8ToGa49cqnWX8Ur6/EreJk4UIr6Y3YKTRcwv4zs93mUQX/D9wyjG1OWzba2gr2n+9AVo\nhi4xdUkUJRd+72Oq3SPCJKBSSBOFju1Ra3n4QXpshiaJk2TQAa9IC2QjRZvRokOlaGPb0AqbVOLL\nJaC6/SX3BTvLRvPFpNzcyGcsO0KURHQD98LTJUqlO2DCOGKuMEWYxOy2q4RJRKISml4bv58kkkJi\naSYlu4AX+uy2q8wWp5grTPHF3u/RhJY2j1zi3A9t7svnD9XePs02HbabNKJ96vI+TbdHFMfomkbO\ncrj+xiydRoZ7D3uEUYJlpJMrcaJIUPzmq13+6O0pNE2wX+vxzcMaUazoeiGjJQc/iDlouCAEoyWb\nG3PpRMvffrqJECLdJabSyZYkSRgpWoPijmNqKNJ7f3pfST9Dxw2ZyVtUCk/uj8jYOqMF+9L3t8vw\nsmPwYfzy+hAlEWu1TVSS5gwQAtSL7d1Zq20yk59Cl1eTTq12j+gFF9mUAFkzw1GvzlZz58zPwzik\nF/Qw5bNzQvudQ+4ePuTdiZuXOsZe2ON+7RGbzR122vs4hs1Rr04Yh4M8SRCnUuqjmQr3a+sslubI\nm1mafhsdjVjFhMnZps5IRdTcBpZuMVuYZq9THUiOdYIuY5kRTM0Y2tshrz2vXbHlD5mVlZX/Fvjv\n+//8N8A/X11dvXhL+QuQJIparfv8Bw753pBSsLrZ4NF244Wev74dkLV1VmaLV+rUxTJkvbXJRmN7\n4Aw4jjnQkj9oNtg62idjOsyXZlgszKFinU+/qQ52thyQJgdmRrNYpoZlaOi6JCsFSb8oEEQxUZTg\n+hGOdbLo3TAV+26PIErQNUEcpddzr1+MkAJ0QyOOFUH45HL4Ut6iUrCot1xEVqc8Kfh06w6b9X0W\nRsZo+EfU3Dotv439WAdVTEwY9wiikJyZRSBwA5dH9W0WS7Nstnapu2nCwI08dKHjxyGGpiMHS+BO\nvhtBql+qlGK5ssjdw4c0vA7j2VEKZoG15iE96TOWmaTrps8Lw4iMrdNqJrjRyeebKDvUdUmj7RNE\nMZapEQYxjiFxRjKD3Tg5x2BppsjydJ4kgTCIcN3gifMkhCDnGFTrFws6lFL4fnjmtZanCyR49PRt\ntsJtjtpt6h2PMEo7ZYVIHbZIdBnJ5zHzM/S8OfzeiXNYqWTRNDG8Z10xY2P5V30IP0rqF/z7GfL6\nc5X3IiFgr+GxvtOi0X76Uvhn0WjHrO+02Kq2mSzZP5jlvVGiIFEkSUIha3HreoGWqvJ19S61zU6q\n0S/EQBf4oNXk/v4elVyOlevz3BITbO36JEkCSUKt3kO/xJSKEKllPs8OXpa8o+P3QrzuxV4rShRC\n8Uxba+jaQBQ5jJ70aQDKeQuhoNfzCbyLfw6hKVb31gafvZAxEKTNFmGUnNqVl07fGIZGOW9haBLH\n0tPHq/Tcfbu3RlGUUfHFz70vetR6DeZL02w8liy6DPOlaWq9Jp2eS9C52HNiPWCmMIlSCi8O2Gsf\n0A171N0mXuQPpEuOcUOPlt/B1i3KTpGt1i6TuXFujb3BTGGKnufhdy6e/Bna3JfPH6q9fdw2Hcdp\n3+w9YnXrgGbPJwxPrs3dpMFXG1sUnAxvLM0z65X47VdHaFJi6HLQZPbpN/tMj2X50/dnmJ/Is3vU\nTbvQ44Tp0Sy5jMFYyaHjhtxZOxpIhwkUQqZTfseqA8Wsxd3NOkJAEJ2dlstlDDq9kIytM1a0icKY\n6LH4bWm6QBxG1GqXa0S4KFcRgw/jl9eHWIQ0Oh1cP0hzFmmt5YXsfiPpUG920NTLb2593CY/j4pV\n5uvqKuE5+Y7DTh1LOPAcs3Rv/xET5gSGupg6Sij9k30yEo46dWaLU4RRzIhTIUxCDrs1vMhnKj/O\nTnuPTtBDkxrXKvN8vPU7BAJDM7B1izBOGxxSD0+kcvCRT5TEzBdn2G7tDSTFFstzOLpDtze0t0Ne\nb4bFlteAlZUVi3Sa5V/0f/Q/A//l6urq1XgSQ15rvDBh/RnLzC/C+k6ThYk85hWNK58xsM+hF7h8\nW71Pw2sybS2x/5ijGUapLvtYOcPdzQadXl8OwtAoF2zWd1qphEi/qKJLQZQodF0Q+qlTkS5lF8QJ\nxLGi3vbIZ01sU6f9mKNimRqVgo1j6TT7Cx8zjmDP3WWzvg9AOZdjo7dPw2vzrB6IIA7pBF1yZoZY\nKQ57NVZGl5grTLHd2sOQOkmSoBmSRCUEcdR3IUAgB06eQhGrmOXKAlJI9ruHKMDWDSQaYRwTxjFa\nPkbXBFGc7lJxLJ2mOqtrLoCRgk0xZ+H5EbeujdBse2TsdF+KY+sszxQpn1roqGnpz9u9J506pdLp\noJ4X0bmA05fLmMTxSfQ0PZZlbsbks72vBtdLztHJOeny3OPzkY7oK/zQ5Zv9+9R6Dd6buIWRfP+S\neEOGDBnyahDc22zQaH+3RemNts+9zQaTpSl+KMq8iYK2GzA/mSfEYz98yIOD3YFWfnKszfUYLbfH\nnf37XB/vMTezgIFN2w0vtWssRbE0U7x0N/N5LM8Uucx5NzSJbWmXsrWPk8+YlPMWtqVhaPJSi2Oj\nJMINT645CZSyJpFj4AVRKtt66oRqUpCxdWxTR5fizHu5oX/pJfFCClp+B0PqXB9Z4P7Rows/95jr\nIwsYUqcVtJ8ps/Y4SimyZpZKpsyd6irV7iF172S6Jm2QOfHX6Ptr3bBHN+xRtotIJG+Nv0HWzAwX\n9g55LRjEaZ0jto7agMIxdcIwQJHGXumkWkKt0+E3nd9zfWyKX/x0mV9/enDm7x1gY6/Nx3f2cUyN\nn9wYY++oS9YxmKpkqTZd7m00CPoTRVnHIOnvbrEMyUjRIYwTWl2fjG2Qy5hnJKQBHEujnLMwdMFo\n0T53MmlqNMvSVP5KGwl/CDH4kBcnISFJzm9WuPRrqYSEhKsQLXzcJj8LQ9MJVUjLP7/DIEzidDLz\nmRmNNF9TD5pMmOPPbdKJZXgmD5SohLAvuTmZH2WtvjGQTc8YDrFK0pyKEOy09pkrTLFcWeBB7RFB\nHKALDV1qhPGx7LtAl+nk20G3hqEZmJpBlEQslRcoWHn8KEBextgPGfIKGBZbXjErKytF4P8G/gPS\nmvPfrK6u/g+v9qiGvCqEgFrbu7R0yON03ZB622Oy7LyUrlYhAKmIkohIhDxqbZOoODXw8fOHrwxN\nJ4gjNtob3HpzgqNaSBwK6q1gIJmhaWJQaAHwwhjb0CnkzMFyVtePyGdMoiQmihSGduLiRLFCinRS\nRiWKkVIGUPS8EMfSMfudmEII/CCi1Ulf0zQ0QuFz2D4Jriu5HJ8d1Psf/tmfLYhDvMhHE4KYVAt2\npjjFfHGGrdYuYXyy2D6KI0zNoBv24DEpkOXKAnPFaX69/vHgbb0oQJcnHRsNr0k2U6bnxYwX8iTR\n6QTACUopNAHjZYe3Fst9mbV02sfQJJCOTJ8ELM9OMgnSIGfviHMLMqdZmi5y1EhfZ2o0y3s3y3xZ\n/fpsYa6fsDjTdPzYh9hvH3KbO7w/8Q5a8sNa9DxkyJAhL0KUJNRbHsFTJhcuShDF1FseUZKg/UDk\ndKRIFw7PTTv8dvsutzc2MHRJ1jEYyWV5c2qWjGOgS0mUJPTckG93tzjqdPCCmC8ePeKDZcEH0++x\nVw247OoVpaCSt8k6xnfywbKOQTl/2YmiExt8UVt7mnzGZHIki+DyhR44PwF17EdkbZ2sbZzbHIHi\nieLCiySgDM0gUQlf7n7LR7PvAVyq4HJ9ZIGl8hyfbN3m7fE3MDQDLvgnpGkSXWgc9mrsdQ7OFFoA\nknQDz1NP6fHjx3OjTOXGU5mSl5PLGzLkheiGvUEiNFEg0VgYKaHrBn4Y4/ohrh+ytn9AwMl9Zqd5\nxPzYCH/1z+ZZ22kTR9BzEzZ3u3S9kK4bMj+Rp1rrcWftCFPX6M6FjJUdDuo9ul7I9FiOQtbE9dKC\ndxQnbB900DVJPmPQ7gaMlZzBjhZB2uxVyJrcmC/x7XoNP4gZLZ7d+zQ1muX9lfErtWevaww+5OUh\nkUj5csojUsjnFjBelMsUhYpOnvX61lN/n8p+XuxCXK9vMDE1Bs+YTJVS8KC1eSauT+XTEyZz4xy5\ntTP7aYt2gYPu8WMFYRLx2c5XfNi39Q9qj4hUDEmaL/LjdGebrukEUYBCUevVGcuOMpkbZ6E0QxAF\nNLwmmqajrk5RcMiQ78yw2PIKWVlZyQD/F2mhpQP8Z6urq//nqz2qIa8Wwdr2i+lVP86D7SaT5bTg\n8KJIKfCVRz1osF7fxIt8jrwaTa9N1sywWJ7FEAYtt0Pbf3I0Om9lKTg5QhVy73CD/UaTcqaAHmUx\npcXizBwycmg20r0rUXy8mFHg+hG1ljdIINRafqrpS5qU8TxFLpuhyolBP+581bR0sXu74zM9kkXR\nlxjzwic6omxbEKuYIEqda0s3EFIR9633RXSfvSjA0g2IIzSp8dn2babyk0znx7lXe0jTS/e0NP02\ns4XJM8F8xSlxY+QamtD49frHxEqlwYdupdrFftr9pZTCi0LyliAIBGP2JF/fr5HpT7g83l0KsDhd\nxNLlmc/8+GPSjyco5ywWp4upVnOsaLS9M9rxmoDp0Sz1tj6QKHucYs5C1wSmofHGQoUbswUetNYu\nNAF1HvvtQ9adTW4Ull/o+UOGDBnyQyJRcNR6Mfmwx6m1PRKV3rt/CBi6pJg1+fbgIXWvTqVgM10Y\n5f3lWaQR8XV1lfphEz8OsTSDcqbIn727QhLq/O7BFjutQ2pundWDh8xnrw0aLy6DbUgWp4vcefBi\nNgtSu3s8NXpRHi/0nLa1UsLESJaMbaBJQdz3ZfaPuiRJKolazlsIXrTQ85wE1AWaI8681oskoBKY\nK07z5f63fLJ1m/enbjGWGeHu4RpH7tPlfEacEm+MLmHrJp9s3SZRCfOl6efKpZx560RhaAZbrV3a\nT+kMfh5tP11k/LPpd9Jp4Rd6lSFDUo798jBOzm2Ueh4Pao+otg/JW1lydo6M0WWttknX7dH1A5JY\nkLez/NHNBVxX0ex6lLI2jiNYb9znMNriKFQEoSKfdfj5B3P4vSK1muLadIH1nTTuCqKYVjdgajRL\nOW/R7gU83GkyXs6gaZJG08X1Y2xTw7E0um6IEFBveYyXM1QKdj8uS++9rhfR6gZknfRep5Qi6xgs\nThdZmsp/D40Dr1cMPuTlo0sdx7DonJOzuCyOYaFLHXUFxfXLFIU0IekGT5/ITSVSL/a3c5HJVF95\nbDS2z74HgkqmzH73gEqmPPi5LnU0IXGj4ymdNMfhxwG/3brNu5NvMZqpcO/oITW3gVQSTUgSpSjb\nRbZbewA4hsPPpt+h6/c46NSYKUxSskvEcYwcprOHvMYMr85XxMrKig78H8AvgDrw56urq5+/2qMa\n8qoJ4wTXezlrelwvIoyTS2mWnyaWIQ8e28kSi5jt1j5hHFJ3m2w1dylYOZYqC8yWJqn56TSIQKT/\n9hp8sfc1fhymu1akohW0KJka2/UWm/UqBSfDUmWOkeI8pp46FolSeEGEUrB31GW8nCFjGxw1XTw/\nwjY1tvZ7fPCzWdYO9gbHrGsCx9JxTB2UIlHHQcv5SClQMmQmP8+3m+nrTBZL7LT2yVsZDro19Ass\nU0s1vdOF9FJI/Djkk63fMVOc4oOp9xBS8NX+t7T9Dlkzw3xxBkPTWSzN0QtdHtY22O93fQjA0W0y\nhk0YRViajUKh6xJNpu6SrVl4HYNas0UND1PXziRc4Pnj9lIKvDCh1vZY227i+TGHLZdG2yeXMVma\nLqBrkmbHp93XnX9coqzW9ohO7V15Z3mU5Zki2eVRHFMSCp9u1GWyMIpSaQGr6bYvNA11zEZjm/n8\nDJC58HOGDBky5IfIy5QgUoOpgx9GtUUA4+M6/89v1un6Hv/iT/+YA2+Pv934d+y3axSdHIamoUmB\nG3m06l2+3LnLRL7Cz5ff5Zf2Mv/rr/6RXm+dD//oxmC3y2VIEsXSVJ6jhjvYLXcZvovMzelCjwAW\npwrkrpv4Qcw36zV2D3uEcYKhSXIZg5/dnMQyNTrdYDCp+yKFHnj1Cag4jnEMm5JdoOG1+GznK8Yy\nFd6dfBNDM1irbdD2O0RJjC418laOpco8QRyw2djhoFcDoGQXsHWbOInRLxjiCilYb2yy166mi44T\n0i5b0vNStPLpvj2RysGGcUTTbw+041P5E529dpWH9U0WCwuXO2FDhvR53C93vYg4SdCkxLF1lmaK\nVE5JAJ9Hy+uw1dwdxGCf737JxtERcb9ZLYoTwihhv13jwcE2/3Tlp0yMZ9lpHnDnsJomQpVHvljg\n7qM2+82T3VgfLd8gm4XxisPP3pzg/laDRsen1Q1Yni1x0PTAj6i3PAxdMjuexzY1Wt2ArhtimRpC\npA1Zhi7JOQbFrEkQJSzPlmh3fYo5i9mxHKNFm6XHJI+vmtcpBh9yRSSCxfIcB53ad36pxfI8JFfz\n/V7GJgshiJ8xBWNIDSnkhRyixydTTyubJCRoQtKLu4Tx2ekvKSTT+XE+3fmS5coCZadI3W2St7Jn\nplyOmzeiJMHUFL/d/oKKU+LN0es4hs2jxhZe5KOUomDl0IrTLJbn8EKfnfY+FbvEQnmGR7VtZvOT\nxGpYbBnyejO8Ol8d/x3w50AP+MthoWUIpF2tcfJy5iGTfrHhRTh3J4sAL/aeMLAtv8MXu3eYK01z\na+INqt1DxvOj3D1Y47BXIyam6bfoeKmkiRSSmIBsoYiIDTzP54vtVdyky3tvLfJ3H3u4QTzQC1YK\n9ms9MpbOZCWLYUg8P6brhSSuzVihQMvr4pg6mhQgQJOSZiegWu+RKIXsO/flvIUUAi+ICMIYx9JQ\nRMShwO9Ptpi6wXptg8WROdZrW+lrXuScxSGa1AbJAF1Lg+9HdpEoiZjOTxBmKmTNLDdHb/Bl9Rv+\ncfMz3PCki1mXGlkjg9bvZomTBMvWyNoGrh/1R/IV18fm2Nk6Gf0PophqvYfrR0yOZJkde/a4fawU\n97ZarO80z4zLG5okCBM29lps7LWoFCxuXhvl1lSBetNNr8/+1Isu070rcV9aZHo0y8/fmsDQBF7i\nsec1+P3RXR7WNomTGE1qF5qGepyBhiyVC30PQ4YMGfJDRUpJxn45rnnG1pHyaiQuroIoSXDjNlEU\n8te/+Dmf7HzOWu0RI7kC18bGqfWatMPuIPlo6ybXxsaJE8W/vf+PLFcW+Otf/Jz//Tef0kvaREn5\nhfS8NSH46Zvj/G61yu7hxYsP31Xm5rjQU2u66Lqk1vL57Jt9Or0A2zKwTQ1baKDAD2J+89UOuYzJ\n9dkSc5N54jh58X0GrzgBJZAEUcTK6BIfb30BwEGvxkGvhq1bzBQmGM2W0fs+lh/5fLF7By86q2m/\nMrpEEEUIdfHrXiUJR706YRIRxCGmZpA3cuTNLJrUaHgtWn4n1bwXEkszmStMEScx7aBLL3Tx4wCF\nwVGvjnpJPvyQPyye5pcf0+4FVGu95056VLuH5M0cv6/eZ7O5gxACXUriOCZRijBKMI10E9FfvPkR\ndf+Ae3v7uJEHuqDh9hCRQGQiFuey+J6k1gjphR7fHjyg5beYc5bIZzL8xUfzeEHC3Y0642WHmbEc\n9zfrWKbO5EgGQ5f4fkzG0sk6xqAArhKF64UD6ehr00WWp4vUWi5vzJe5OV/GNjSelDy+Wl6XGHzI\n1aEUlM0SGdNBfQe9x4zpUDaLVycTdwmbrJQa5A3Oo+QUL9x5cjyZ+riyiRv6JEmM1DXaQYuJ3NiZ\nWN6QOpZh0vBaPGpsc2PkGp9sfYEu9SembhRpXsaPAkzNpO61+M3mZ1iGxXxxhoXSLPPFGQ67h0Rx\nzG+3bqNQXK8sMpkf41drn/Du5E16gX9lMm5DhrwshsWWV8DKysoS8N/0//k3q6urn7zK4xny+iD7\nhYKX81ri0prl8OTSswECGm5z0CR7Wv9TINhs7qBrkg9n3uPrg7tstnaou038OHWmvSAaKDsk3ZiW\n8BBolJ0CRTvH/f1tmIS3b0zy68+rTxxXz4/o+RFZ22B+IkcuMHC7gvdmr/HbjW+QMi06uH5EMWux\nV+uSJGogheX6Ec2Oj2VqVAo2hZxFomLmS9PsHNZPzpsUdAOXIIwZy5fpBO0Ld8dqQuJHPhkjgxR1\nbN1EE5K1xjbbrT2KdgFN1pBlgUQQxiGG1NGkhq1bKKWIkhgFGMIkUYKeF2AZaTevKU1m8xPY0ShH\nzSelNaQUTI5k+OnKOMZTvvwgUXz+bfXcrt3j3SxHTUkUK4JI8XefbzEzlmN5psi9jToZx3hi6uU4\nyaRkyN1mfxoqctlu79DtT0UB505DbTf3n9vNvV7f4PrYHJpmXvCbGDJkyJAfHgLF8kzppUiZXJ8p\nIfjhTLYg4OvdNf7qFx/yye4X1P0ahYzDTruKF3qppKdI/Q2VKHqhy1GvgW3YjGXL2s/PfgAAIABJ\nREFU1Pwav6ve5q9++RFfb63x5tj8Cyu4mFLwwZvjrO22Wd9pEoQx5YKJZiiEVKhEDPbOmYb20mRu\nNCF498YY/+bjR6xtN7FMHcc2qLd94lOSQpomKectlIKvHxyyPFviLz6af+H3P52A6p2y2ZflRRNQ\nutQRCkYyFa6V5njY2Bz8zot8HtQ2nvsa10pzjGQqCMWlJmtiEg57daSQGFJnPDuKQnHkNvAivz+5\nfPKB3NCj5XewdYuyUyRnZtnvHCCF5MitE1/RwuQhP16e5Zc/TtcNufPgkFrT5f2VcUwpBhMxm9Um\n680DPt/9hoeHW/3ms7TZDJHGUQAowV9/8E+4V3/A57t3Bk1ftmFhahYt16WqjhBRB6E0JibLGCqL\nSgRfbW5gLWvcyL7J//vJBkmiePf6GIYu+LP3ZyhkTb5dr/Fwp4muSSoFG8fSaXX8c2/Hi1MF3pgv\n8c3DQ5SCW8ujOKb2vRVYTvM6xOA/dh6flJDI/kSh+N7221jCZr40w6P28+3K05gvzWAJm+SKDvoy\nNjlWCVkzQ9190m80NANbsy/sCzmGhdAE9xoPziibHJNECRutHe4drp+J5f0oYL2xiSYkh70aC6UZ\nlsoLdMMuyamlKv3Blr5EuyBKImKVYGgGKlE8OFrH1AzaQZfPd7/GkAYTuTESldANXHZbVWaKk1Ts\nEn4UXJmM25AhL4thseXV8F9zcu7/q5WVlf/ieU9YXV39ydUe0pDXAUNLR8Uvsxj1aTi2jqHJS8mS\nnLf07BhFQpCEhEmIF3nEqUYJCIEmBLZu0w667HcP+X31Lkfdx4oBpzQ94iQBHfwgZC88ouh4jORH\n2W0dMGlbjBRtdo/O1x9NlMINYjq9gE4v4L1SmeXRKe7sbOEHqTZwkij8IMaxdRAQhieG3g9idg+7\nlPIWH16fR1M2te7+yesnCl1q7LarrIxe49OdLy928lTq1Gy39vnJ1Fs8rG8wVhhBKYVtWDS9Nr3Q\nRZc6bujx4cy7WJrJWn2DRCV0gh4CyBgOpkyDncXyCIfNTrrkWBN8tPAWN7Jv8/HtIyoFmzhRaFL0\nZb+KaJqg1fFZ32uzMlt8IliJ1PMDuuNEzmGjS7MbECeKZsfHDyLmJ/N8df+Qjb0WxZzFm4sVfv7O\nNONFi0QL+PxUkS4RCeFTxppPT0OtVJbYbOw98zp1Q58gjrCMYbFlyJAhP1502ZdWyVk0O/7zn/AU\nijmLbH+Z/MuUJrtKQhVSsLMc+FVaQYOW1+aod+JHnHyOs5/HDTw2gl1GsiV0qXHo7VOws4QqxOLF\nbYYmBDfnS8xNm+x3atzeekCr2x1IeRWcLO+9s8xErkJOzxBF370jOlKK23cPiGOFZensHXYHCdJ0\nyjZ1pI7tcsbSmRzNEkUJX9474IM3X3yy5jgB9W31/gsf/wsnoBLBQmmOT7a/YGUs3dF2uuDyPK6V\n5lgZW6bWbfLRzPuXmqxRKkYiSFTCQmmGmtvkyD3VgINAIBHieFWNIlYx3bBHN+wx4pRZKM2w0dxB\nKIEaZn6GXIKL+OXnkU7dVfnpyjjrO+lEzOx0ht1wn7XDrYH/H8cKP0yI+vetfMbiz5Y+YLezyz9s\npKIaQop0Yi7yMS0D09BJVELW1Oh6ERv1KiPZPLPFCZTK8tXmJvGYSRTniaKEg3oPKWDvsMviVB5d\nk9xZO6Te9tk57FLKWYyWbJrtk4JLMWdxfbZEpWCxsdtCqe8mw/gyeNUx+I+Zp05KSA3HsFgsz1E2\nS6n9uOLvP0kUi4U5ekmHw1P3+osykR9lsTB35cd5UZvcdNsslmfZau4+8buinUdHP9Mw8CwWyjPc\n3r/DTnP/3N8rFKpfPDkdy/9s+m1Wa/exdIte6PK73Tt8NPse7aDzWBFIIaUkSuJBs2kYRQRxgkCw\nMrrEtdIcW609Kk6ZMI446tWJkpjRTJmSU2QuP81mY48PZt+7Mhm3IUNeFsNiy6uhfOr/b72yoxjy\nGqJYmilSrT190dlFWZ4pctm2zvOWnkGaOO+EHZp++4zsFaRvEQNB3OHPx37JP2x8du6iNnESqaJQ\nZ3ptm24aZIxnxjjyqyzMXntqscU0tDNLbzd2PObnrtEsBjw42GWk6NB2U0c5CGOKWYsOIUF4NgAu\nW2XmMst8Wf36zM+DKKSczVPzD8gYM090WT4VITCkjh8FhHHEYmkOSzcxNZPJ3Di60Kk4JRzDRpca\ne+0D3hhdouQUuVO9S5yknSm61Gn2XCzdJIkFUZJQcvK8NbHM9dxNvrnbYm48j6YJJOke2DhWHDV6\ngyme9Z0mCxN5zFObkaUUPNxsPjOgi1UawHXcAE1KSjmLKE5w/YhHuy0mKhmmRrK0egGFjEmt6bG5\n16JSLvHlY9NQpx2yp7HZ2AHgRvkaW429pz4uUQnJMIExZMiQHz2KsbLD9dkSn317frB7Ea7Plhgv\nO/yQlvMqoVgYr/CPO59Q9xrUzunSfBa1XhMpBA8bm/zx9Ecg1Hf6+LEMedDoT2qGLpolKBoS1Rcn\nk9Lj64OvWWs4zJdmWCzMoSVPXyr7PI5t9PZhl93DLl03xLF0DF3i+hEM5pQEmlQ4lo6uSdqdANWX\n86wUz2+0uAjHCaia2zi34eZ5fJcE1HEXb1bPUO+1uD6ywGimzL3aOl7kM1OYwNKtMzJi2619bN3i\nRmWRklOg3muR07OXnqzRhE7WyjKTn6TmNml6rf6C3nQXX/rfJ68lQSq50uzr0c/kJ8lZWXTx4tfA\nkD8sLuKXP4utgy5Rso/nR3TdENtJuLf7ZLf+cSTQ6gX86Y13QIv4bONrUOrU7KMAIfAij4yZpRcE\nxElC0G9W8xOPZljDMIrUWx732OTWxLvs7IWDZfZKwdZem2zG5I9uTRHGCWvbDdq9kDBSzE8VUIoz\nzWGbe23gu8swvhxebQz+Y+W8HbCn6fhdDjo1MubLsaUXQUsM3p96h9t7d9jvXNzeTeRHeW/i1pUf\nH1zcJodxhCEMClaOlt8Z/DxnZShZxQsX/GzToh10nyi0GJpO0cmjCQkSDF2jF7jsdw7xo3RvWtZ0\nWCzNctCrEfUlOT/Zus1/eP2X5MwMn+18Tc1tDO43gnQixxAGppYe+/XKNUxN5+83PmUkU6buNgaS\n8pZmslCaZTIzxrfVNRzDvloZtyFDXhLDYssrYHV19V8C//IVH8aQ1xCloJK3yTrGuZq9FyXrGJTz\n9qWMkBBQDxpPOEKxiNnrVlNn/BkvOFOYxI8D7h2tUXaKp7oAU3RNDha4iX7S4DRNt0vGcMhqGuOT\nkuIDC9cLifrSGceU8+nPASxDo+uF/N3HTX52a4mlW+Psu/vc3z5xSgSQzxh4gcTzIwp2hutjc9jR\nKL/7uok2pmMaGkEYY+gakQi4NbXIv18/4Jvqfd6ZWgGe32WpibT7MWdmkVLwk6m3+PbgAUopVkaW\nuDl2nXtHD6l2U+dE0zRaQYe3xm7wz2/9R/hRwO29b6j32mAbzBbG0ZTFrbE3iUJB2aiw9tDHDRK8\nWq/f5arO/Uq6bki97TFZdga/98KE9d3Wkw/uk3BSaIF+QUyAqUtM3SJRir2jHh++NcFOtTN473Yv\n4PPNuxwGh2eUUwUCIZ4/jr/Z2GHEKZO3sk/d4SKFRIqhMMeQIUN+3CgFOdtgaiTDwmSBR3tPv2c/\njcWpAlMjGbK28YMKRE2pIfSYavconYwVYtCkofoR+uk03IkcBf3/wGG3jmM4SD3GkBovKsl+7t46\n1FlZmP7J7QUu31bvU3cbvDdxCyOxXug9vTBhbbd1xg6ftsFCS7vPEaDitABw/N/jTux8xnii0eIy\naInBTyZucZs77F+i4PIyElCnu3hbbo+Cnecvb/wZYRLx1d43HHQPBztVynaR/3jln2BInYNujZbb\nQyr5QpM1GjpvjV5nr1Ol4bX6TSICKTQEDIouDEpdqU+iSKetFAkNr0XeynFz7DpyKCI25II8zy9/\nFsc+e7Xe48ObE3h+hJt0aZ9Ktp5G1yTTxRFiElp+m6bfGsRhg+tbQRBHZA2FEGmcpkmBbenYhkat\n2yGvS3IZg1q3gzkbMlp6sqjf7QUooOtFjJczTI4INE2wMFFAodipdgbNYc/bQfN98ipj8B8r59vS\n83lZtvSiFKwcH86+x93Dh9zbf/RMua7vsxB0mova5JbbYamywBe7d4C00DKRHUdecH+ZEIJKrshO\n46TQkreyFJwcoQpZr2/RDXrEKsaLPSzN4o2xJeIkYa9VZau5y2xpihE77SfvBF2COOTvHn7Mnyx8\nyFtj17F0i/X6Jp2gR5RE6JpOwcqzWJolTmJ22ntsNfewdAtNaNi6jSa0NKeEZKm8wP3DRyilrlzG\nbciQl8Ww2DJkyGuGbUgWp4vceXD5zsJjFqeL2Ia8XIehVKzXzxYUEpGw163S9XtkTAdDMwiTiKyZ\nQRMaUggSlUoqvDd5k9t7vwdSTWtTO3ZGUudZkyeTGJqUZ3xzRSoPtteqMe5YVI1d3r4+x68/38W2\n9LQDIk7QdYkU4qTTwdTZOewQJ4qjWsTMyByaLDF3Y5GH9U382MexNHQpyVYcFopzxJ7F2qbLo1ob\n09B4Z3aCTraFbWppp6gUZzpEvtpd5eb49UGXZcM7PzCydTvVLy0vULbTgOKP537Kg6NH/Hb7S9zI\nw498kn5frIjFoDOkaOV5Y3SZdydusn60Q8UpUzJHWNvf45vNPUYyJQzd4qsHhyQqXSyn65Jy3h4c\n8+OdKw+2m0yWM9AvmtTa3lODByEEjZY3SPCc5jgIEwJaXZ84VuiaIIzS3xRLgt9tP8SyYbRgD44j\n1T/XuMgw/lrtET+bfvepxRbHsDC1obkaMmTIjx/bkNimzpuLZYTgUsm4xakCKwtlbFO/vA/witF0\njQf1hxx2a/1CiuoX7dOdBFLIJ4otiUoGHdXHMhmH3Rr36w95c+SNF9Lyfureuuew3z7kNnd4f+Kd\nSydjhIB6x2e72nnCDh/bYF1IRN/Whzw5NdruBWxVO9Q7PpOlF0/0GYnF+xPvsO48vRP5mJeZgDru\n4q27TQxNo+43+M3mFzT9ZvrdC4GpmYN9Kv/f2t9TtIpcrywwX5wmiuMXmqyRaIznRkClkmGJSKV/\njnXmpRD9Essxirj/u+OmEklaCBvPjiLRhv3sQ57L8/zyZz/3rM8exYrRss3D2n0MTcflrASlLiU5\n2+HtqWVafpOt5kE6vSXVEwvhBemepIzh4HupmoChSYIoputFRFqLsfIE21WXjeYmy4W3CfyExwsu\nAsg7BlGicL2IWtvjsO7y4VuT2KZOuaCzPFOknLdfK1v1ymLwHyGvwpZelqyZ4d2Jm0yYE9SDJuv1\njVTiTCVIIfsSZ/OUzeL3InF2HhexyW2/y2xpkmuVedp+h5JVvHChBWA0X8KWFjt+FSEEM8UJal6D\nz3a+PDMtg4AwCdn1D1hvbFGyC9yoLFJ0Ctw7esh8cZaa2yBnZvEiHz/yqblN7h49xAt9ZgtTlApF\nDF1HFzoNt8Xn218TJiFSSCzdomjnKTsFMoZNGMW4gUfWyKASRRhH35uM25AhL4Nh9mrIkNeMJFEs\nTeU5argvNFr+opq3URLhhicOuhCCht+k66fj1EolTOXHaXgtGl6TIA4HzkjBypE1szT9NlJIYhWj\nlDHQ5DweG9V1SRAl2LrVd84hShKiKJ1e8YkhG7J52OCjieu8vzLO6qM6ra6PY+lMjmTxwxP98kSl\nUhrv3RgjY+v8/e1tkkRhmxqTo9eYGs/gWBKVQBwKDncCojgkbxtkJgsoICMsRnI5pBamCRulznSI\nJCrhzv5dKs7/z96bPsd1nWmev3PulvuCLbGDBEVRlKjFtly2q6qnprure6a/T8T8hfMPzEzETPR0\nV9fibrss2ZRMcSdBEDsSyD3z7vec+XAzEwAJkgC1WEv+IhgSQSB33HPO+z7v81T4sHYTU0qetbbp\nhwNilWBKg1KmyIdz72EKi57XZ69zxC9WbvGsvcVu/xA3ctPHamXwIp8wSUPdpEibTi2vy79u3+Zq\nZYX3Z97D8+Afn97BDWIWCrPMGmv88W7zzHsaRAkDL8I2DSpFh2rROVMO8PyYKFGYQ5/31wUux0rT\n7l0sH2BjaFF21HKxTIkyPbqeixUZVAoOY0Gthkq2zOACYbvdoE+sYyzDJEril/79SnU1DVCcMGHC\nhB85SmmuLhT5/EGd6ysVpstZnuy0X5vhctr/PooSrq7/5Xzv35YwDukHLl4cjG1tpBSYwkBIhoG6\nJ7Y3AoFlmGgFsU5Ia4YaLw7oBy5hHGJxOWXs63LrLsJh75jN7DbXS9cu+foLHm+3L7wOv4p2L+Dx\ndpv5ygJfx8LGUBbXS9dYLS59pwUoQ1ncmn+X//rstzw62gBIp1o1QwVrej/pHLFBz+9ze+8u781e\n499e/RuM5PKFOaEElrRYqyxx0K+DSlBiOMOi9XB65eT5CdKmzGiaSiIwpMFaZQlLmgj18uT2hAkv\n8/p9+et4cc++sdfhk/eqPDkaUM2U6A6tmbO2TTGTRRgaPwpICHATl3bQJdEJjmmSKE2UJOOJLoBY\nKxzTJjHSRnZ3EFDMO4RhQkjCbD7GkBJFDDIhUZwbBq+1xhBQyJoUskUSpZmpZPngShVTSkYT8t+n\nteovdQb/sfGXW0vfDks71Ow5aguzw72GQiLTs6cS6ef0LzhFcZE1eaE4z43Za9w9fMRB9+jCt10r\nzXBtepXfbd5GCMFKZZ6HjQ22O3svf7MGU5oYQpLodKrzs70/s15d5ebsO4RxhGPaBHFIzsySMR2a\nXosb09f4190veNLcHNquG0zlqnihR6xSm1SlNSqJKdp5ukGfRCVEQwv49ak1ul7/O7VxmzDhm2BS\nvZow4XuIIQQ/f2+O2w/rwxDEi/F1PG8VCnUq0DwmpuP3EEJQdPJ4sc9+75Bjt0Xyglx0qTjPbm8f\nN/KQQmJIEyFEOiYqDUZe46YhEUjQBkorwjghSc5uXlp+hzmnyFa9y/6xz4fvzOBYkuO2T9ZJ7Rlc\nL2K6kmNuKku7F7B/3OfpTpolk7ENatN5co6FI21UlGaatHv+eGz9tB1Ip6OZmZujEe2hhv7FHX/A\nanWelcriOFek6bVpem0c06ZWmKGWn8WQkkQpspZDe9AjjFOF2s35azxv7dLodVgtLlG0C7S9LpGK\nyJoZ/CQkiAKSsT1F6kfqxT6H/WOyuorQFu/PrZGNZ/jiXvfM65RzTGrTOWzLQEqBUnqo/BUkSfoc\nldZj+7UoUXj+y00MSOsFnh8TxheTAPfdEGPYUamWbDZbz9L7iBO8IKaQNRlZnGeMTDoNlbxZufes\ntc1qaZl6rzkupkkpyA19WSdMmDDhp4IhBD+7ke4BpIBf3qwRJ5qNvQ59NyRRGkMKCjn7jP99HKtv\nxfc+vTlBNLT1lCINE36VleXbkJDQGHTSIp5SaSMFTaQi1CvC52OVIEVaEDGlIEpipJQ03Q7qLTzE\nXpVbx/D5K6XPrE/nZXlstXdZLS6NGz0Xee1ipWh1/Quvw68ijBNaXZ9Yqa/9GVBKY+GwkJmjtljD\njwNipTGlIGM6SK1Jkm+2AJXIiDsHD1GJZiY/RcfvjfcPZ6dLUizDopwpEieKrw4evpUSWgvNZmuH\nklNkvbrGRus5Qqt0amo41XLeKzmyE5MitTcpOUU2WzsszC/CuT8xYcIJr9qXj64XyalrzWnb4NGe\nPYoTxLBA2XNDpNQEcYK0bHK2TTGbJdIhDfcYLw54Z2qNJ60tKpkSQRIS6xiVJDBsWgsMwiROz2pS\nYkiJ6wdEcULWMfHDk8fa8juUi1NESYKQjCfuX4Ueej5KkWZKLk3lvtfB8eedwd/0vsD3JXfm+8Er\n19JL8OJa+m2jNZAIDKyxGeT3KS50tCa/timUwCdzt9jMXHwy9WplhT/u/RmtNUuva7QMkaQTKG50\nctsbrS0sw2R9apVaYYat9h56OJ3c9QeslJe4OXONZ0MHlZydw8LCsI3xBEyiFY5hI6Uc1zIAViqL\nzBdmsaXzndu4TZjwdZk0WyZM+J5iS8Gn782xsd9jc6/z2lHzb8LzViKRcri9EOAnPrGKKWUKNNwW\nnaCHKQ2yVoZ+eLYBlLUyuJGLISRBEqajoLaNG/lD1cWJh3UxkyWJJGEcvdRogdQv2LEMZCiptzzq\nLY/3r0zxyY1Ztg+6zFZz1Ko54iThD3cP2R8qj6bLGRZnCkhD8my3zVHLY7fexzBGBakSpiHp9AN6\ng6G/ed6mXHCYzi5yNGixeXyQbg6EYL8x4OdX1wHY6eyPDwZBHLLVPtmEFJwc8/naeFz36tQyiVYc\n9ZrpS6kk0/YUZbuEn/i0vQ4ZI0NiJWmDSytKThEpJFEc8/h4h18vz/Hp3C+4/7THQbOJH8QopZmp\nZrkyX8K2DZ7v93CHmTamISnmLG6sTVHK23T7QWqJMfwoKM1LVgEnCFo9/+S9tA1q0wVsUyKNtLgU\nRoqDRh8vSIiT9FAlBBiWZuCebLZaPZ9Ctsio+mRiUs4UOR40X/m5E0MrurbXpyQDNg+64/fAMiV/\ne30Nqb+bjfaECRMmfF94cQ8QRglrtSKGcWLJmSSaRtvFtoxvxfdeSoEfKZo9n43dDp4fkyiFISXZ\njMn6Upmpb8gGRmtNojSWNEFqIhUPFY+vR2k1nhZ1TAsQxIm+dBPgvNy6VDSS2uC0hoKN0+vTeVae\nbujRCjssZGp44cVeuyjWNLr+uY9rtCY7jjFWkwZBwmGjjxe+XAlq9nyUhreMbRljmpKeH3NQd/ni\n0RGdflp4tUyDcsHhk3dnmZ/KUcyYxK9ohl2G00poiWTamaLsnOybIpWcvPbSoJItkzEymJhord9a\nCR2rmDCKabhN1qdWAdhoPU9zWYZ2Yudltojh79l6dY31qVUabpOczBGrGINJMWjC63lxX/7itSad\n+H/ZNtiSkmbXJ4jV+GwgBPTdmDjRmFKyXJ3lWWuHhttNp7MAy7A59o4pOrn0GsvoE62JdIQpDDKW\nRZikIrkgPLEYM6QgiJJTjz0h5xj0ezEdMyQMBIWsdaEW49mp++8vp9ffp7sdjtveS+/LaA2YKmdY\nX65wdb6I8w2LEH6IvCoD9rKM1tKaPfeTfj1f5E1NoctOpkZJiBv5FJ08Lb/92kZLev+ajOmka+cp\nMeXT5nPmCtNM56pn6iRouH84zMDVgt3eARnDGTdjRhMwsYopZ4pozfgatV5Z4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7eKioHU2OnL6d9O+nimyJIFHm2ALAtiTLs0W2Dnq4QUynFyBEOiVTzNnjolLS8TFkatdi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\nUg3grJylZvA+IuocAoFAcH5Es0VwZ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EmSJEmSJKkCgy2SJEmSJEmSJEkVGGyRJEmSJEmS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\nSZIkSZIkSRX8B8Ilir0ztLJhAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7faddff0c050>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "show_vars(df, ['Bt', 'UBt', 'q'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Higher magnetic fields are better, but there is not a very clear, simple trend. Most large HXR are around q=4."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 127,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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AoOdqoW37gtl+r117qD/69A3VmfoRAE4V8gYAAIgTxRYAfWGMZIxR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hYp04DtEUFd+PT6TISwljOYtMSj/W4/JZZFI6pZz1nBYgJxeEhID52RSNaIN/vbSM0GJur2zj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FfSVI0gDilbJYI4IExC2l6XpdI8AKZqEKcJ5VyJlic3622vywcHn3JtZp2fbfyI32z/noJV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\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TnUECwcGwRc2uYGoGYRzm7xlhlJ+iCIGhaARxgCkMpkoTrHW2EAhiElSOwttHCpYEGVTv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\nB8+22NyrMz+bJeZaPJhMU6p6tDtBfyW3Y5vk0y6GU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+PsYrXF8lqZZssnCENMIypptjCb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X5LWAkZAssiyJXIgLPy/lTEHoKDK6pggrr0CQQKYucnBeVMJchO0GuH5EKWdOCFJFliZ/\nuKLYGOMHMb2hTzFnXEuklnImrh+9UvkyRrvv8pcfLYrvfdrRPcWPAFURCogfA7Ikc96xOW/bKLLE\njbkchYxOvWVjewGH5wMKGYPe0MX1xaHc9UMyKZ131yqoiszXG3X6I59O3yWdlvG6Pm7gsdUWFiLj\nztIx6XKFiY4vlwu22ntUMxX8yCedlshlDBodB9cLqBRT1CoZNE1h56hLL7GQ1FRhTXn3RgnfDzlu\nDOj0XRodh3JezBsj18co9NnYOpnsIcIwnszPF28rimMxv0MSAA8b9SPeWpzH7mgEcUDH7vLp8k/4\nze7nOIHLSn6RkT/CDwOcwMWNvIntjSop5I0smqJiadZk7f10+Sc0h22CKMQ0VIa2j6WreHJIWrPI\nqEVy8iy7B1dzayxDZa6SZi7JyBp3cqd0bfJ5FEV44o8bVS7n1YkvxQ9F4U9TZFRlPCaQ0jVkRE6P\nqkivtE18HVRFmhTIXyqXnWKKaxAnE8hF66bvWhyc4p82gtgXjgiRz7PmNuNUlDf5liUgIuZZc5uy\nVcAPA8LYR5X0yWtURUOSPO6uFDlpDNFUWZw93GCibJESdSMI8mSYZKloqoymyvhBxN2VIhIyqqIR\nJ80OmiIzU0wxVE7Ya57h+uG1uSYvIoxibDdAU2V2m6fMrBSZKc4n8ySTaweuSl6apZYZsds+JI4l\n7lSE3fZe54C+OySMAhRZJWukWSksYfsuu60jJClmMbtIXpolcC8TIiTqg3rrh6lP4EI2TgLPDxnZ\nHpmUysB+/T75ZcikVEa2h+eH6BcaSSVJ4qQxwA8iOj0X9Xusc+2ei2VqnDQGorkwGRc/jGh2bEo5\ng5W53LV5ma/DjfkcpZxBs2Nfsih7E6v3N8WLOTmvwnVzaBDFr2woexnC+GpW4DjL6EUMbZ9HWw1a\nXZsP78xOVa1TTDHFfxFMyZYpfhQoioQXxtRmMzzaaRFEMXEkujJlWaKYNTF05VpCwNTVSWjsGKsL\nBZ7simC7Fy08xjL+Vtfhiwcun364RlyGZ8d1bq/UaAy73CzVeFR/SkozieIIOxB2HrIkE8URMjKm\namD7F3Ibkg3P+HXPmtu8PbPOab+BLEcokrA6iRHdRo7n4wWCJNo432W9NkvDbhLLPqBTzJh0XJ+Z\nTJ7N5i4f1O5iahrvV98mJiaMI86HLRzP45uDbU47fRRZppA2KaeKrOZv0q9nOW2KDvbtow7Vcpq9\nk15SOJLYPxswsH1uLRU4OO1f+91kLZ1y3pyQLZah4gfRc9mzLPzwxSZYojZjYeoqhqZwo5YTBWzN\noX3ep9l1JlYKsixRMAqM/BHPzndZLsyhygopzSSlGbSdHn5i8SVLErqikzdzkw4oTVbZTsLuLc0E\nQJc1Rlwu7MQX/gmCtAGIYuG9byoGs5kKTuAw8hx0ReOkf8ZdfxVFSxMrDhnL4Fdv3+FvHz29tlN2\n3Fm0kl/kmwdD3l4t0x35tHs2//N/c4eNgw5fPa1TyOg4XnipoK5IcHMhT2/o4XgBkiTRG3rIkshG\n+ezBCbm0jmWojNyA/tBDkYWH89pSgaO6yG/JpESRSkvsuWKEFdb/89kub90s07vwe2EY0+zZmJqS\nBGmKw1UQxcSBOGzJMuiqQsoQ4xXHLx4eY4pZk6Htk7H0iZJssZrl2902lqm+VAXyIlKGymDkUZcl\nqiUL1xUkznge6A1dnh12KOdNVubz/OnZuch5yZvUKhmCUHSGd/su5x2bvbM+txYL/OydeWw3YOuo\nw2ljOCENZEmiYAqSpZw36Q09dFXBNNQrc8xqLQ9xzEe3KlhJLkp34ApSCyYFzZShTuyM+qPLOScX\nCZ0gjBL7NHB8QchkLQ1NkS8pYa7D3kmXOyvFiR+zaagEyaF5/H5RLCzFiCFlKFeueWelyN7Jm3Wn\nWaZK2vx+XshTTHEdgjBkuZrl6V7rB1/rRi3H5n6bcj5Fq+tQzltk0xq12TRxLPKeVFWmM/AmWVv3\n1ip4fki779LqOgztYKJCS6UktJ7KRmNXKEak6LWWlEggXXiNjMxGY5dado5USqhovSDk3loF2w34\nZrNBq+c8J28SnLdHbB52Jplbi7NZHu80sd2AgR0wU1G53zgilzFodexJ0Wlc1HtxVRpfepy9lc+Y\n7HaO+KAySxBGZI0Mfhhw0D1mJl1GkWUyegaI6Tg93NBL1l4ZQ9EpmDlxXUkiDEMOuscs5ubJGhmC\nUGRG+UGEhMx8voKORVoqko9meeo0sQxBQpu6ylzZIpPS0FWhypmvpFmdz+L4IbeWi/zpaR1FkfCD\nCH/S5XsN4mRdimLCMJwUFsMw5vZKEVmRyVg6aVOjO/z+HdBpUyNj6SjqVNYyxRRTXIYfhRiqzkZz\n51JT12QOvuZ3rnL2MRvNHX6x8glBFF0qrgRhwKOdJjfmc7x1s8S3O60kuwKQpMle9OK1x02Kni+K\n9G/dLHFjPsejnQazxRrj9BNNlbixZPI3Dw+uEC1jUv/SzSaWVuP3G79+s3HAf3/vJpoqEU2I7Zi5\nskXUqtL0OyykoRd0eHS2QRjHLOarLOTyqLJCEIXYvsMfDh6gSBJz2RlyagHDL5A3qsyXrjZClbIm\n6ZT2g2ytLmbjjOEFMb2hx0zRYuj0vld2hyTBTNGiP/Lxwxj9wtLhByGKItPs2j9onWt2be6uFPGD\nED0hucZ27Idnfe7eKCJJfKeMlRvzOe6sFNk/6WGZ2iW16Ous3r8LXszJeRXGzXeX1IGqaGz7Lsqm\niKtEC0DG0l+pgD1pDIE6H9+dnSpcpphiin90TMmWKX4wGl2bjf0uX2/UmSlYtAeuKH5eyHQ4b49I\nGUKt8uJaJ8kSnn85FyEMI9Gxz3MLjzFZUC1akwDWMIr57KsmP3lnlaVSj0pWJZBHyGrE+eicmIi0\nbqEqKm5iG6UrOn4YiqJD/Px9VVkhiiOIhY96y+5gqAaGauCHfuJ/K2ybhCxYER1QEnixjW6GHJwd\nEcQBdlBkPX+LhUyNe/Nr7HYPuH/8mJE/QpFFmLuu6CzmFrBln87AI5+KqKQLmIqJ5GaR+/P84XED\nVRbepOOMiGTUSKc0ZEmi0XVYqoasLubpD306fWeygc5nDP7+62PWFgtICOlv1tI5bQ2RJFGEiGLR\nmb8yn8PUFbaPupw0RpTzJoam8Gyvzc8/yZFJpVBVefJdxcDNyjwbzV2WinOEUcCTxhZDb4SqKOSN\nHKaRRpVVgigkCH3qgwZe5GP7DtV0hdXSChvNbe5U1tlu72FqBmZg4ITX5wGokoKmaDiBiyqrqJLC\nbKZCSjOpDxoEUUAQBZiawbPGNpIk8/HC+3x7uo2akvjlO7f59aNnhFF0qXPNNFTSegp7oDFTVMmk\nNP7u62MsQ0FC4slui/dvz9AfeRzVB6IDNxKk0/JcFscL8cMQ1wuFL21yTdNQOe/Y2G7AUjXL6Hwg\nCmsxDEY+Qztgrpym3XcmyoYwjDms94W/vKYwtH0MTcYyhKqr03cTZVHMT94StlSyJF3ZbEYX7OAy\nKY0rZ65YkCS6qrBay9PsjMimdVo9l/3THrcT+63XYUwAmbqK64c82Wvj+WPCR1gVrNZyKIrMedtm\n4Ajl27vrFWwn5KuNc9o9B0mSyGcMrJRGoz1CQuK8M8IyNe6uFFlfLPDF41O8IMJKqcyX04RRzPH5\nEFWVqcyYaIqwzRkPxcWDmAzcWi4QRDEnjeGl8RrbBIz/T9bSUF0ZxwvIXrQDSuYcWZK4e6PI450W\n85U0KVO7cmC+DvW2zY35POtLBXaPu6IrMvmlyXeTPJhDx6ecT3F8/txecX2pgKEp1NtXO82vw/pi\nAYhf6CicYorvjzASBZ58xriklvyuyGcMLEOlb/uEUcQ7azPsn/b47X1hn2iZKr/8cAFVlpJMLKHm\n+u3955kgpZzBbMmi3Rd2iKoiEyHW7hhBnMRSzGv/MqXERjRRVLbsDnEcoyoSIzfgg1uzbB522Dzs\nJAGsvNC9mlxGgnZfZG7dWirwwa1ZHu82ma9YHPTaPD08Z6aQElYiSeYXMGnyuHA7iZWmQCFnkrV0\nnh6e89GCg6rkqWYq/O3OZ6wUFmmO2hz2BIGrymLtzRmZSXOJHwYc9I4JIrF2l1NFVgqLPK5v8Jc3\nP0WVVTJ6ioXcHK4j0e0FFDNlbhXvsH/g8O5amThO9j3yZQul+UqaD++IIkZIjK7JzFXSHJ8P8JIC\n1PPPdHXoxwWqOGaydtZmMmiqTBxH3Fsr83CrMVH1fleYuoKqSLy7XhEt4z9STsAUU0zxLwNCVSJz\nPmpN1OCv2y1dJcclzkethNy4PNEFQcyz/TartTzv36oQBBHP9ttJFtXVd4ph4qQgSyRrSYXe0GP7\nuMsv3quhKOP3hVQ2oDMaTM59skSSA/bcUnei6UvmcGEvKQrmfhDRGQ1IZYMrZ4RS1uThVsB65Q4b\nnacobsytYp5AcjkbnHPWP5804JmawXp5GTU2GA3BoMB64Q6NRsC9FfMK6WFqMjdqeR5tNV4z2i/H\nxWycMTRZwg/E+alSSNHo2Ffe+wX+6fLPJKgUUuiagudHqC98n1Es1DPjsfu+65yiyBOSZoyxHXsc\nw/5Jj1tLBcr5FJuHnVfut8bW4qWcwf6JIJhezLL5h8zJufY1soTjR7T6DttJ7pWwT5XJpnXmZjIc\nN0dvlNkiSRKdnnOFaAHRUNd7TTPGSWPI9kmfO4v5qfXjFFNM8Y+KKdkyxffG0PF5vNPiswcnHJyJ\nzovuwOXGfI7PH51eynQo5Ux0TSaIYhw3mBR/gYmP6Ri3l4uT/JZc5jLRoirSxDrJ1JVLTau6otG3\nPf58+WP+du93KLL4uRO4GIpOMZUnpZn4UYATiDB2CVCQ0RQNTdZwAudSEXanfcByvsZGcxc18Woe\nh4FnjTSO76JrMk40YuTbSJLETDrPTC6PaUk8bTxjc3OPfMoiJiKMI4aOQxyPkGOVzdM65XSe1dIy\na/lVNk7OWKndpDM0+e3X50iSUKaEUYhEzEzJApIiua5w0hiyd9rjdw9O+PhulZPmkNVaDlWRGdmi\n0N7uO3SfubyzWmauZNHoOuye9sikNBRZ4lcfLeH5EVuHHVp9RyiHDIVcWuerZ+eU8gb/6eEei9U5\nNvVDUondiKHoWIaG7qr0nC4xMUEoimBBGNK02xCLzZ2ERBCHWGoKSRLf1enwnCoxxVSBjG6hSAoj\n3xbfRUKo+JGffL8SmiymKzfwSGkmBTNHSkuhKxrbrT38KJg8C2nNoj5qcdqvk9YsmnaXtJqhkE/x\n53fW+c23zybPzlg2f2d2GQYm99Ysdo5EyP1yNYsfRjh+iN9zGToiJ4BYBFbKsujW2T3pJWofYXuC\nJKTtY3/c/sgjimMMXSGcHIgkOkMXJBjZPqPrbKGS4Pvtoy43azkebDUnBaduYq1TSvJLXpZxNLbj\nG3/fFze1qiyxVM2gJt1Z1bLBF9+eTX4va2mcd15e2JckWJjJECRjMLB9VEW6FBI/ngeO631iSeK8\nNeQv3qvxuwcnbB528PxwEn591hyhKBKzpaRzWsuwd9rj80en3Foq8q9+tsyzgy6ZlIrtBtTbgsgq\nZAxsL2T3tE8pZwqViixxo5YnpSu4ycFIluDOcpGney0OzgaT3Inrjtb5tM5yNUs6pdLo2In6S3zm\nfMbgZi1Pp+dS79h0+g4ZS6P+irEa48snZ3x6b56MqV7yTx4rdjRFnrTaa6rIp2n3XNaXCqzM5fjs\n4clr3wPE85dP6+TSOm9miDHFFK+HLIFtB9d6iiuJ8kFKrK9iRDen4131j19fLOD6IaaucrOWZ/+0\nx8ZBZ/LzkRNw3rY5rA84e4nVyNj7vJj4kmuKzGFX5KGoikIcRwnpklgvXvN3MP7ZROUmyQSJ8kNb\nUfjoziwPt5psHXXEZ4qTz2kowuJrnIsSCZVrGAkLms1D8Vk+ujNLLq2yd3hIEEbsnfaoVTKkDDGv\n2G5wrbuZyFtSqRRSyJLE3mlPeOx3D/hQWkRTRIPA+bBJ3xsKG9Q4JIiStfclUCSFrtsniiMKZg5N\n0VBllYVsDWKoFFO8W51Bc0ts7w+IY0FC8QJZf50fuqGp+H7EvdWy6MZN5svx711X40iyoSd2b14g\nft/3I3RVJZ3SyGWNyeu/C+Fi6gppUyWXNbBMFVVRrvdbnWKKKf5/C13WOOyecLnl5rthbD120Dvh\nV/Ll0sp4b/7HJ2fcWy3z7lqFUt7k6V6bZtcR59qE8I8TIjsIY8p5oZJcqGToDT0ebjcp502hTkjY\nFj+OOOgfkk7p9Ec+6sU16VKQ/fgOhSmzUM/IyHFMEMWkUzoH/UPWSguTNREEIbIyn+fxdoO12h1K\n1hnbrQNsP2Aus4RkxkiysFKOI4leyyelqayXligqVfYObN5erVwbVB5FMavzWZodm9PvkbEyVlS+\neF1dV0QA+1aTSt6EWGR8jBuxXqYkFTyZRClnUsoaNDo2766V0XXl0uKlqTIjJ8TQFFHk/57rXD6j\nMLBF1uTk2heybOIYDk77ZNM6P32rShDGbB93GYy8RBklkbF0Vmt5FEWiN3AvOVy8mGXzD5mT8yLC\nOGbjsMfucfda5VJ/5CHLEu2ek7ifGK9U4AeRaDR8EfmMMTm/vs4qefe4y0o1i65M1S1TTDHFPx6m\nZMsU3wteFPPF/SO+fFpnOHq+kDa7DrWZDKsXCs2OF3LcGOL6IdWSxcZ+mwGiexzE5mO8SK4t5LFM\nla1DB0NTJoXaMTIpnXaSjQCiWPzJB2X2RptsPDhmppAiZcSkVJOVwgItu40duIRxSGvUZeg5zGdn\n6LkDNFklUFRUWYVYwgt84HIxuu8OWMzVxH1KMV5iixXHsJSb5+uTx8RSREbNU80V6IcFbN+hlM5w\n0j/l9wd/wvF89tsxaT1F0cpSMLNJUK+EhEF7MOSrwTPeq93h37zzc75+OOS3948mm8FSTlhplAsp\nBkOP7aMukiQxdHwyKY13bpZx/QhNk6m3huyf9shnDO6tVYgTu68oinmw2eC99QqrC3neXi0zdHyq\nRYvPHp7wbF907KYMUSizTA0/iHC8AMsyqfd75NIaamziBCPyaZ1Zq8rZqI4bevTdIdn/j733eo4s\nu/P8Pteb9A7eVaFQvqt9k0Mzdndjd2VCT/ofpVCMFCuNtIoYznBJDtneVHV1ORQ8kADSm3vz+quH\nc5GFcs1uDpsRGuL7UA9A4SbyZiLPOb+vM+2Xh1kSxGmCJqtIqcQk8iibReLEQ5EUTpw2uqLT9wZc\nq69zNDpms7uLLqsUjTySBGEcCWdMEpGkKbZmUjDyXG+s89vdzzgaPz/wS4FLlWV+vfcxYRSy2d3m\nVuMa/7T5MXWrwU+W32OzWeaoL4ZnOVtjY2aBS+VVdsYu//CbbRRZol6x+Ot3FvnySYdKwaQzmDB0\nnhXv1csWuiqLIZgqZ/EsCVFGxhm6Qrs/mVqoW70JpbzByPGn1n5dVWj1XOaquVeSLVGcYBoqYzek\nUbaeGzRFccrT/T7XVyscd13a/ddnH/thjJ0RnOf3xmmacmejgZ9lN0dxMv17O+k4XFursXX0agu7\nJMFSo8Aguydnw9SzbH1DU6YDzGurVZAkPrx3xO31BnsnI447DhM/wtAUgiimNxT9Bl4Qs38yQpYl\nNpYrzFZzDMY++ydDNFViY7nE3c02J12XnKkxV8thGyrNtoMEuF6IrircvFxjtmbzm3tHuJNniqpa\n2eL6pRqSJOGHMZ2BUMWTKcE0VcQemhlhAynLM4XneqjeuFLn8lye046D60e/916dR5ykPNjp8he3\n56gUTR7v9eiN/KwQNaVWNOmPfTRFpjPwuLJU5oObNn4Q8eHXzVeXnr6A9cUSl5fKtPsupdzCxXzx\nAn80aIpMnKbPZYqf71PrjXyh+swi/847XP0gwg/jaaZ4mibUyhZbR/3niJbpY2VZ9d+G7tAnZ2mU\n8gZREov1XJYy16mEzFlsyrMS3/NIsq/LkjQddiFLaLJGlH1mPD0Uv5uuiahCSRJkUBTEz3pRFKHW\nTFPRvxVEMZsHfe5caeD4PkkSCvdbkrKbiR0aFRtNkemPPfwwJk1ED5ehKZTzJmEc0x14gsTO1vEk\njUjSBCdwidPkuZ4zVVJBgiSJp+psQeRIyLICKcSp+J373pCCkccJXFJSGnaVtcoKFb1ETrMZuCE5\nw+bLxy2GbkAYxWiqQilv8NbVGeYqNgVLfa6HTyJhZa6A44XcXq9xf6sjHDBnqt+XE22e/54Mty/X\nsAyVlfkCmpyiqzLvXJ3hH/5le9pFJnrjXv+hpirPYiEdL+Kv313GUBVUBeI/TmT9BS5wgX8jiFOx\nbvxrt0kpogs0TmPO+wcUVSJvaRycjPnFJ/u8c32Wesli5i2bOEl4sidcC2f9X6W8wcZKGVmSSFM4\n7rp88fCEvK2zOquhnBsWx2lEd+RQKRiMJwG+Hz/nsn5+GP5MnpgCUirW6LytUikYdEcOcRoho01/\n4jwhsnfoUMjVebvRIFEn7PT2cfxJtu4q5HSLmyvLyJHFoJ+y50xeS4hM740k8c71Gb54dJrFPX03\nnHdUvghVgnevz/LxNyd0hh61kpWJpjxRov4cCSXWHiEyVKmXTQxdpTMQQoh3b8yiSnCe4hepEIoQ\nROgqXhh973XO1MR+KWcpSOdjFni5y2bkBIycAE2VWZ0toCjZvgZB5HX67iv3SS922fyQPTnnESQp\nnz88/b0E2mDsszpf5LOHJ0z8aNr5+SIkSXTEnInjzuPKUvk7O6ydSUhv5DFXsS7ORBe4wAX+ZLgg\nWy7wvRGlKZ8/avFor4f7ivK5+1sd3rw6M42tOkNn4FGwdQo5naEToPoiGilNhN13oZ7j8lKZrx6L\njhJDV6cOlzOc5aPKktgsvnWjwvb4CU9bTZbnchh2QNfvcbf5lEQKKZoWOS0nBhIpRIkYutqqia5o\npKSMPHcaB6bIMkG2K5KAMIlQZYWUhCiOCKMIJBHD4UYew2CEMRP3zgAAIABJREFUJMNCeQYvFfFS\ntmxQsQv8eudT5os1wiimMx4x9ieM/YmI2DLzVOwCC4UK7U7M2In4zd1duKmjGrNZeZwoXZeyGDZR\nHpswcETx7WAccNxx2TwYUC2amJrCj99Y4FdfHDAY+3z1pIVtarx5dYavHp+SJClBGKOpKicdB8tQ\n+W+fH7B1JF6jOE4ZjoVi5qyQvJQ3mKtbHJ3GHHR63Fq4zCcH9wjjhEYxzzAc0nZ7043LeUXUdNKT\nivuoSCKmTULKDjcKJNByO1SsEkkyIgVKRmHa9RLFMXEaC2eLoqHJKqqsiEF5FLxEtABUrTJOMCGM\nwkzl20eWJRqFErudAyzd4D+++w7/24cfU7B13rm0xqq9zt//Yo+9Y/Ea6pqCpil8vdXli8enGJoo\naY/iBKVkctxxOO26zNVySJJQFw0dXxTcZ/dCVWT8MCGKxBe8IKauyKiqiLohIStET5Bk6ZUlwEma\nDctkifiF3aFtqORtjWurFUp5gzCKiWNRuvmiy8XUFaI4IYzT5zaz8/UcVxaKxCnomsznj5/Z+b0g\nJsn6SV7sVALRRzN0Azr9yXORB7IsSAxVEUOxSsHA9aNMDa7heCGfPjhhoS4i8doDjziLTHO9CF1T\nsE2NiR/xYLvL2kIRTZXpDn2e7PVZni0QZXF+eVvDNlSCKJ663aI4Zb5moiky//W322ysVDjtutP3\n6HgSsjAjemJ6I59iThfqcklClSXytoauKi+4gNKpZf7s8Jgm8Pa1GeIETrvut96r8yjnDapFg4/v\nH1Mtmby10UDTFFq9CUEYUy9bFHM6o0nIYiPPxI8o5HSOOw7FnP6t168UDK6uVLBNla8en/I//dUV\nDFV6revpAhf4/hAH9o++bnJjrULB1ni83+eoPX6l6+BFh+vtyzWWZvLsNof81bvLpMj8vx/uvPKR\nzoZPvw+dgcfSTJ4kkZAlmbxm4YaT54gUEJFaz2fyS1kHWBaLhVif8pqFLMukqcRuc0CtZBFFgkgf\nOj5RlKKcVyOnYm2deBGqKmIVLUNFVWV2mwPeuVUiiCJURcRwypIghT0/yggMHSvrREmSlChKOGqN\nCaM4i2jJBnmKTBBFxEQEcUR/MswiJIVuOUoj4SaVZORz476UlCiJnnvesiTRnwwJ4hBI+dH8u5CI\nyNL7Oz12jgYEYcxM2WK+Zj833PnmaZtNTXnJ2ZKmIv7t04cn/OjWHAD3NjvIMjzzOnHu9wAkQXAl\nCbyxXuPW5Rof3T/m3eszJClYhsZiI8/t9Tr3NluoqjyNUJ34EXGcTLcaiiJjZXGbUZzgeiF3rjRY\nbORFn9cfJ67+Ahe4wL8hpGmKIokeTy/6w6MxTdVAlV5W+2uZ29v1QlwvYrc5ZOSaVIsGpZzOjdUq\nSOmz2K9UAimlPw6edZN5UUaM6GiKNP0oTUk5bAs3w3w1x1HbYeKHz85kr+lsAYTgS1OZr+YghaPO\niFRKX5qhv0iIjBywTZ1bs3dQtHQq4opDicMTB9cT9/DbCJHz0GWJ967PsNUcvdYJcYZXOSpfRJKk\nLNRzLM/k6Q49ugMPRRECOkWSGIyFICROUxRJnPdKeYM4EfHlzkS4TZdn8izUcq905KzOl/jlF4cU\nbZ2UlIkff+d1ztJFX8nQCVibF7FW8rk19HVdNmGU0Op9N6LkVV02P2RPzhmi9LsRLSBIpOW5wlS0\nA7BQz71CEiPRG3kvffVMtLN/PMKy9O/0uz89HDBXeb4/6AIXuMAFfkhckC0X+F6QZYnt/QGHrfFr\n1QRJkvLV41NuXa5RL1tT5TaIoWS1ZOJOQrxAlLIauszfXl+iP/anpIAiiw6KF4c3UpZDi5RSzhsE\nepetoyaXl/L0wy4jN6CgF1BkhaE3ZBSOUSSZkpnH0gykLMO8bJU4HBxTsYtIUqb2TFIkSc2GCmIk\no8gKfiKinhRZxpR04iTh5uw6bbdNzjQI44iFwgwf7X9B2SwyV5hhEvkossyp0yFJEyr5EtW0wEG/\nJSK2nAEdZ8Ag7zBnLbG1PyJva2y3myxYKkuNPLomioEHY6F6v7ZS5bf3jhg6AbapZtFJYoDiBRGf\nPDjm9np9Sq5IwNODPn4QceuyUJmuzpf4/OEpB60RS7MFvnrSzu7rM3uzLIsN+tAJsmFGkdmqzWaz\nzVqjzkppgaftAwxNR00hTIJsoyiJbpw4syi/KO2RRIRJkISYqsEocNBljSQRJb66pnPQ3qRsFhl4\nI1RZwY8DUlIUScHWTKIkpu8N+fHyOxwNT9BkdRofdoaN2iW2ujvTzHsv9NjtH1IyixTMEY/aT7k1\nc4Wf39igapfoNU3u7g1plG0W6nmSNGHixSCJXN6RE7A79Jir2czX8xycjlio53C9iO5wgjMJ0VSZ\ngi2G9kmSEsbJdFB4dhCJ4pggEiSEMwnRNYUwjLEMld7QI2/p9F/xN5UkKTlTJQjFpGi2arO+WMIw\nVLYPB3zx6JTLi2XKeZOD0xG1kpl1wgSMJyGWofLmRh1DVSgVDAxVJopTTF3hjSt1FElCkeDyYon7\n2z10VZkqiI7aY66uVPjo/vH05ZRliXLeIElTURifxeYoihgU+qEgfSxTJYwS1pfKTLyQg9MxM1Wb\nu5ttXC+i3feoFg00TcaZRPhBTBwnjCeiDDtnasiyxEnHYXmuMO22ubfZ4S/eXODDe026Q49m26Fe\nsmhULAq2zvpiiWrJ5Oh0RJzC9tGA1bki+8eCzOsOPZ42h1xfrXDSdXh6OKBSMGj1hAvJNFRsU6Na\nMF6ytr94eNRliR/fmkXXFTb3e9N79SqcDZstQ2Uw8kkRQ2IxKC5weaHEylyBuapFHKd8vd2h2XY4\naDm4niCt3tpooCgyW4d9Rq6ICVQVmYKtcXmxTBQnNNtjnh54LDbyrMzmL4iWC/xRcf7AjgS1is1y\nEDPxo2+NeLIMleXZAvWKDRIZIaEw8UMmfoQsvRy/MfEjijn9lTFitqmyNl/EMlRMXWGhkUdKFPJ6\njppdwRm4mbvj2fBIkWSkF0iI871tZ6jZFfKaTZrIPN7vc22lwt7JiG7HQ1VkDF2e9madhbNIkoSh\nC7Xr0AlYqOVYni3waK+HxCXGk5hK0WDsBs/FhkRxwmlv8tyATpJET40kS9Mi5ChKxM9PIuRURG6q\nikIcJMiIqM4EsUbE38IqnJEwcSqi1txwgpwqpLH0SkXq64Y7YZRw/2mb7mDC29dm0LPfd+toyJ31\nOv/lV1v8p5+ssdjI89WTFq3uhJeyyLKnPFO1eXOjQd7S+C+/2uLff7DC1tGQWtFAUSSa7REf3JwF\n4ItHJ2iqIly9l6tTB0sUi06f3eZIRKhGCW9fm+X9m7M02yMWGjmCKMncihe4wAUuICAhY2kGDbvG\n/vDoD75Ow65hasZzawyAJMvM1XJ4QcTaQlEM+6OYgq0TxiJmM8n20WdJD2fCoeOOQxDGrC0UOTwd\nMV/PIckyZPu6JBVn0+7IF4kDFYveSPQNRnH6XIchMBUVqoqI/KwUxGds3/FpFAxe159+Rogcdlz6\nIx/XC/nqSZexG0z3oSLSqshcPU+5YLBYs79zIbkiSVxbKrE6W6A38niadXyc9cFYpsr6Ykm4zl8R\nSXYeaQqVvM7P3lrkf/3Hx7iecO4bfoSuyhi6gmWq0/udJClDxyeIEvxA9E3apsrP3lqkktdJX3gs\nWZaI4pi5ao7D1phyXsfUVVw/xFAVVmYL2NazdcmdROydjPCjGNvQkCXojXwWG3nCSMQon5/9/1Bd\nNj/0tc/mQ98nEu7gZMT1tQqSBDvNIb2RSi2Lxj5DnAlQnvsd5otcW63QbI1pVGys7LyYJCkTU32u\nu/Y8Jl4k+v0u9gEXuMAF/kS4IFsu8L3ghaKbYeJHQpH/LcqSe5ttaply+/yAsGjr5Jc0gijmzpUG\nZqbyuLvZFoQHEoau0hv60yxUyJSdsiRIiFHI2rLFo9YTVhfy9IIOg4lDztJwA5+SmWcY9FEVFTfy\n6bgiBuTsWkvFOXKGRRCHGKqGHwRAShhHqLJKkHWFFIwcbuAJd0uaoMgS69UVVFlmq7cLpNRzVVRZ\nJafbQlWrW/QmfRaKDa7XL4viRaeLIivkdJNHp/vTjUTb6VHLlcnbGuWCiR9EPHH2+Is7H/CrT0/p\nj3xkSfS2DByPMIrJZ0Ou0STIsl/jqVK1N/KRgB/dmuPe0w6yLPH0cEC9bPGjW3M82u2ydzri8kJJ\nRHwg3Ajps3kUhqbgBRE5U9jVm60JUlXFNlU+3tzip9c3SBIwFAvHd8WGSxHdOHk9hxO6L4Xinr1P\nVFnBC30szcRUDLzYR0bGjwNulTZ4cPoEUzWYKzTouD1MVcdQDEGARB5hEnG1dgkJia3eHkWj8Fw+\n/Xp1dRpPpsjqNMbMCScUtAIJMbZm8qS7xX9/+T9x/9EEU0vZHfZodh2CMMHUFWolk//wwQpJCvun\nIxRZIgiFqmi+luPwdMxCI8/W4UDES0UibkZXFcaTAE2RCaOYYk4XrgoEgRXFCWGYYGgKfpigKDKq\nIouuF+3ZAU1VJPKWjqKIDo+FRp5K0WCmbJECW0eDKenmBTG//GyfOxsN8rbGk70erh9xdaXM8kyR\nFFEi3xkIMqFRtpmr57i8VMrINbFBJZUo2hqr80U8P6I78hi7ISuzRTaWy2wfDbM+ERGR1mw7eEEs\nSpM1EfdzRgilsjg4XlkW7+2cqaEqMgv1HMNxQLVo0u5PGE+EAq9RtgBo9YW7I00FeWNoCsuzeSRJ\nONrqJQtJkrB1FUWW0VSFmarN6lyRt642GIx9nh4OeLDTRckijFbni2iqwmwtx6cPT2j3PbxARH+9\ne32WasnipOtQLZmcdF2CKMCZhIycANeLmK/nKNqvV9PJwHvX6hRtsdn3gpjHe73nYpSqBUO4sYLo\nJZK6YOvkTBVFhvmqUN7pukwxJxRbC40czbZLd+hx0nUwdfFc5mo5FEW4Vvww5uHOsz6fgq3zwc05\nbE25KIO8wB8dpiZz63Kdf/78gL3j4SvX+dcTgX3W5ov81TvLyLLMo90elaLJxI/gnDPQNgWJ8vbV\nBq4XTklsU1O4tFjGMlS2jwZ0BmMkCU57Lu/fbFCyChQMm4pVojsR676MIL1FnNj52CsJRZKnrhaA\nilWiYNgUrQKBJzFXy7HdHFLK6azNFzntujgvOHrT7N84jslZKkszeTRFZrs5ZK6Ww/dBlXUkJBoV\nm97IE0pg0ZAs4s7OHf4FOf+sRFeSoFGxRVQYGkgpTuiK6BbNFmvuS8/zeQfPWSTN2fPMaTaqrIif\nldLXKlI1VaZcMIWTJ3uucZxOhxki+uWU967PkCRwcDqmXjK4vV7jl58dsDxb4GdvLqLIEve3OvTH\n/jSSrJw3uHW5RpwkbO4P+PRkxO31GqW8zsHpmLev1mn3XGZrOb542OKdaw1uX67SGXoEQcJ2c8BR\ny5kKGwo5nXevz6LrMrWiia4pfPW4xdvXG7R7LpXcd1O/XuACF/jzgSLLKLJCQc9RMUv0vMHv/6EX\nUDFLFPQciqy8VEIehkK8dWOtxlF7zK3LdeIk4cF2h0kQsTpXnEYkhlFGGh8PsXSVq6sVFFnm4U6H\nG2s10ux6evYYUqJQL+TZa3fpj3xW5wrMVm2GbkA0LV8/FzOAcGSqqkzR1pEk2D0eYegK9YU8Uqq8\nXCB2Dn4WC97pT+iOvOljSFI8jcKsla0sFvf7IUlSdEVirmIxV7EJ42TatSi6NTMH6nfY06qyxJXF\nEnfW63z84JgoEgI4RRadpLL8TAiXJAkT/1nfmizDnSt1riyWUGXh9jwPSZIYOAHX1iq0+y6uH7FY\nz/OjlTkMVeHxfo/90zFhFu9dzhv8zbvL+FHM5l6fw/YYQ5O5tlZh4ATifHyOXPihumx+6GufzYe+\nD9IU9ppDNpbL1EoWu80hUfJ8AoOIYROPV8obXFkqs1AX5GW1ZLF1NBRivUyoa+jKtLt2MPYZOc86\napI0fUnUc4ELXOACPyQuyJYLfGdIEnRHHq4XvdLS+SqcKbfPDwhVRebd6zM82e/zzU6H2bJNIaez\nvlTmw6+beH6EJIkCNS/I4n1UGUtX0TVRSmtoClYhIB6HhFJIZzyimNPxgoie3+Od5Q12evtiEy2J\n2KrpnhM4Gh2zVJrHDV0UScYNJ0RpnA0i1GnZ7Fp5mc8P7wHgxwGXqyssFOf4+OBzEXOVRqxXV2k5\nHZaKc9xsXKViFem4fT5vfs3BsIkiyWiyOORfn7nCzdkrPDndo+v1RaluNGF9eZbTboDjieGzYvnP\n1E6yxNXVCketMSC6Ws6G2poqkyQQJwlalHDaddnc7/EffrTGe9dn+cVn+2JwPphQLZo0Oy6GJmMa\nKu2BeA1f4EWQZXk6xJ/4EVsHI366OM9et0WSJvz6m8f8+Oo6S8UZjtxdQGzg3MCnYOTQZZ3gnLvl\nTHWbTgdAKePAoWjkAfBiH0WSn5X8JjFrpUVUSaHldhj6o2kXzHp1lZXSIv+8/VsM1Zhe4+x7y6UF\nfr3zkRhenRuKx0k0jY0rmjlawyHHox6/+7rHSUf0jZiGSqNksTwrIkf+6ZMDygUd0eMjhl9iwC9K\nBpM0FbbxzBbkBUKFrQYiPmynOeRnby5OuwjMLCYmTlKGbpiRCiI6oJDTWCiaGJoqIl/ilN7QIwhj\nkCTuXG2QJtCoWDQ7DoamYOoKmiKIsflGnv2TEZoq8+ZGnUuLZXaOhny91RbdO36EpinUSyYFWyPw\nIz6613zOki9nucWKBHlLJW8ViJKEVn/CjbUqsiTxZL8nyJlUFDwWbQ1NVaa9NHGS0Bl4SMCNSzXe\nuFLnqDXiuO0wcHwe7vYYuSGVgsG7N2ZJ05Qne332T0ZIGaloZ50IYZSQpCnNthim9cfiPVWwNeZq\nNm9v1EXngSpz2Brzv/9yk4kX4XgR5SyWR1Fktg8HNFtj1pfLLDQKdAYelxdLmLqakZcqyzfmKFga\nTw56DMeBOHApMnlL4+pKmavLFWxDIQhjwkSoBWVZRiJFleVp5N/nj065fbmGpsrsHY+mqsL+WPT0\nvFjgWLB15rLPxTsbDXFozXpi1heKtHounaHPfC1HV1fo9id4Qczuaw40uqpQLhjcWKtyZbF4QbRc\n4AfD0A3oZmvIq9b51xGBZ/9/6Pg0SiZDJ0BXxUCiP/aZr9pcPkem9EY+aSrytn9yZwEkeLjT46g1\nFk4FRfSljN2QwchjtbLI/ZOHVK0yEhK9yUDEg6USpmogS/K5AuEEL/JJSZGRqVolypYgoVdLi0yC\niCCM8YOIA0c47upli/maTG/8im6avEEYJ3T6HlGSoKsiNiyJYb26zN2dPVbmCiRpSqc/QZElkLIu\nlnN/q5IkoSgypClxLHptqkWDveMRP1t7m4QUXdboTYZUrTIATuiK/UuakStZW8tZ5fN5t0tOs8nr\nObqTPhtVjYSU3aPhc8OXQk6nVjKRJJmtowGuF07j01RFYm3+2TCj2XbYao5YWywik/Lpw1Peuz6L\nZWi4Xsje8ZCCrfPe9VkkWbyWkyDGnYT848d7DJ2AnKVxY63KxnKZTx+ecHm+CMD97S4FW+PdGzOM\n3JCBI9y+YzfEz95TqiIGj34Q0+q75G1B7pfzBu/emOG44zByQ66vVH6IP4ULXOAC/z9GnCbM5Ops\ndfeo21WAKeEi8e3rBgiipW5XSdKE2XyDOE2e87YkKfT6LhsrZeoVm72TIWMn4MalGnlT5aA1pjec\nEMUpqiKRs3T+8s1Fxl7E5n6PQk7nzsYMlYJObzB5blgsSxKXKit89GQHy1BpdlzqJZNL8yWSJKHZ\ncTPHfYIsi5jF+ZqNLMucdB3aAw/LyFzotRWkVDgcXyQ4XnQ9Vgo6lxYLSEqCJKekiUQay/SHPp4X\nvuR6/D44I4jU5wQI328v6/ox9562+OmbYs/w2cPTaS/pYiMnzgeyTJwIcuuwJTok0xTevT7DT99c\n4N7TFpX80kuF6kGcUCuaTLyI66tVKiWTIIz55JsTOgMP9XzEKCmt3oQHOz1qJZObl6qsLhTpDT1U\nWaJetAjjBP0FEdcP0WXzbdd+doZ71vWmZGeRs1v/bdc+mw/9IfFkaQr7xyMKOZ23rjaoly2arTFu\n5mxCkliZK7I8UxBR7abKYcth86A/Fa+Jc6j4+wyjeNpde2WpzPJcgYOTEWkq/l4uTC0XuMAF/pS4\nIFsu8D0gTZX8L1o6fx9eHBC6Xsg712az70XsNIcsNvLUyxZbhwORDZ4IVYsqg67KKIrEyA0o5nRq\nJZ29wQHlgsqx0xJ555KEZWgMXBc/iqnlC7TdHrIsk5zPK5dE3MZOf5/F4hwlo4gsKxyPRVdMkAQY\nik7VKBPGIU7oUjDyvDV/C01W+XD/UyRJZqk0zzvzt8nrNh8efE7RKPCku83R8BRT01ktL1KxSuz2\nDxn4Q3RF45ODLymZBdYqy6wpC9w7eYgip+TyMQuqjq5JeH7Mg+Mt1haWeLDdF4NeU2P/ZMTEj6dZ\n8WQEgKbKxEmKockiVz5O+Xqrzd+9v8L/+PPLfP7wlLWFIkdtB02VWV+ss90ckjPV6T2WyNwtaUq5\noDNyQkZukJX9xjhDDVMxQIOB4/PL+4/IGSZXq+vsD5o4vkeUxriBR9HM03X7zylpExIUFEAcbFJS\nhv6YopFHUzQuV5bpTAZ0J30KRp694RGWalG1KrTSDrZmsVG7hCap/GrnI+I0IUlF/FjVKrNRu4Qi\nKfw6+57oh0kzokvNygtjxpMAUwkJvIS7+5sU7Bm2DkWfyPs366Rpwjc7XaIoEb1CqszP3lzk3mYb\nU1d4ejigM5hwebFEiti490bBtGDxrORv5AYYWffI1eUS/XHASmaP98Nn9v44SSFNCYJ4GsE1dHyC\nMMHxQmRJYnW+gCbL/OruIc4kpJIVU89UbP7lrog8MHWP2apN3tKYreX4/OEp3aGIvDFthbmqjTMR\nw6lpLjRi6HX+UGRb6vR1j9OUZttlPAkyNV6NcsGgNxT50fO1HN2hh+P5RFGCLIuCyTtXatzZEI61\n/+O/bdHuT5it2miqxHFHlE62ei4Pd3vMVS1uXqqxOpfn118e4UxccUjJCFYyskKWJSoF0UtTytTJ\n79+e4+P7J3zx6ITjjotpqCzU85TyqYg58D26Qx/bVLBNnerQZ2O5xBtX6nz0dZPuwKM38rBNlaWZ\nmLeu1vnrt5cJohjHCzNluUTZ1mj1JwycANcLcdyA7thHkSVWslikySRiqzmgUbZo9SfUShZJkvJw\nt0d3MAGEkvCMTDJ1hWLOYKZqUSmaFHM6v/nygKJtUC6a6LrCUWtMpWBy0vM4aI0wdZX5eo4oSRmM\nhDo8O4egqjLVgolpqCzP5HnrauM7xzdc4ALfF16YsNccMl/PcdwRwgh4eZ1/Fc4Ixr3mkNW5AgBD\nJ6BaMnn/5ixDJ+DBToeJLxS/fhDzt+8vo0gyh+0xv717RBDG2IZKztKysvSs20WOmYQTDM0kiEPK\nZpG8nsMNXcI4wot8/CR4VmovKZSMApqiYmdODxkJQzOZhB56GmHqKpqqMHJDgijG78QUbI3lmcJz\nMZFhlHBwOmLkhsRJpvZFdET5YUzDrlIvFtk6GrA8kydvaZz2XFxP5MOrmYPl7IJpCrqh0ihbKLLE\n9tGQ2XKJRq5CnETMF2axNYsTp8VMroah6oz8MWES8czX8vyASpNVCkYeVVY4cVqUjCKLxVmS5Jki\nVZJgY6VKb+zz5ZM2Tw8HL6lGG2WLzlD08KzMFlieK7DbHLA0myNBYqZqE8UJG8tlnuz3afVc2oMJ\nO8dD8qbOpcUSpOJzulY2WWzkmanaGJrCN1sdISLJiCI/iCjmVGYqNk8Pm2zu9yGLWbMNFctQOCOV\nJISz0PFCTjouG8sV1pdKnHTH+IEYpH2bavsCF7jAnx+iJCSn25iqSc/rU7XKlMwCTvD7142cbot4\n5DigYpaxNYs4ic9VzIvPVE1TqRRN9o9HzFVzyLUcu8cj+mMfL+ueOnNxKIrM/umYcl508CUpOG7A\ntZUyvaHH+a2dpWkQWsyVinRdh/WFEq4fce9pGy+IKOcNVFVG11TiJMX1Qj57dIqpqyw28mwslTlq\nj5ktFQlcg2+2u5x2XRRZiMouZ9FdXzxucdxxKOR0SmUJxfTx0lNiIs4cMwoq8+UCsWcw6KfPuR7/\nlPvRs8H/2Al5uNPhp28ucHOtSmswYeLHbB0OOO2Np47IYk7n/ZtzWIZCo2RRKZk83O5AyisL1SVS\nFEVh/3TE3763zO/uHvPJA9EfKkvP1vIzskW4Z2I6A49ff3nEj27O8vO3FvjFp/uszp8Vzb98f/7Y\nXTavu/bTwwHt/oRe5lQ6i25TVZlKwaRetlhf/H3XFvOhfw1GTsDICUiSlJ+8sZB11gnS59Fej53m\ngPlGni+ftNk7/v0OmsHY57OHJ9PIsb3mEMtU0ZSXe5UucIELXOCHwgXZcoHvjDBOmHjROUvnH755\nGjoB3eEEVZW5tVSnnDfZaQ54Y72GoSn0Rz6moWLoIlc1jhP8ICJOUmxT5dqlAnthSqiAlUqoik4Y\nxVkPjMzT7jZr5WWOR20MSUOVFaIkizyS5czpknIwbOLbATcaV5jJ1Th12oSxGJa8v3gHL/L591d+\nztAbs9nd5Xh8iiop/Hj5HXJGjr3BIXuDI+bzM6QpfHX8zbRgcbOzQ9kqcq22Tk63+ab1BDmJcAKX\nL4/vs1pe5C9W3uTuyUO2ertESUK9UmPRrBCMJSzVJI4q3LhU5V++OkRRZGxTlI9LZ/n2aZq9Cin1\nikUYJtiWymnX5eBkTLM9Jp/T6A89CrZO3tTQNYnh2EeSIGdqxEnKJIiJ4phaycLzY4ZO8NyY5sm2\nw/qNJR61t0RZfE4nSHyCWCKn2aRn8S8pWIpJwcgxDiYgiXgqeBYlNt2AkjLwR8zlGpiqyZVqmSgJ\nkJHZGxyRpAn1XJW/XPsRmqJy//QxW4M9CkYeRVaYydUI3LcNAAAgAElEQVS4NXOVvcERW91dTpz2\n9B151veiSDKaomFpJgPfwTJUHN/DkPKMAw/TVLB0hZ+/vchOc8jjvT6WrpCzNHKWxtDxmfjRtFCw\nnNcJwph2f5KpjU2iWKiPxcBPROJVCkLh/Giny9JsgZPeKUM3YOSGzFZFAeDQDbIoPqgWTZxJRLPj\nQCr6PWarNmkKlxZK7J6MGDoiIs7QFEZuwGIjz//8dxt8vdVh6IhrzdZy3N/qTF0VZ6SFrilUiiau\nL8qQJUko1shekcOWQ5KecmejwW5+iOtFnPYm1MomUSzK5+9vdfjx7XluXqrieBGHp2OCMMYLRcbx\nxAu5faXO5cUSrY6wqH9wc5a94yG9sY+mCrLtzA4uAae9Cd3hEZcXS/zdByv87u6RKHvOiKgoTlEU\nGdNQqBQNLF3NXEvCev7pN8eoqsxP7yxgmRoTX7i+aiWTMEo4bI3pDX3Wl8oMxj5//8+b6LrC2lwR\ny1QpF0tYhkIlb7J/MmanOaJcMNBVhaPTIY1aPouQiznuuPQyS/rybAFS2Doa8s1Oj2pBdNj87utj\nKnmdnCVKnRtlmyiJebzXZzwR78fFRo6FRp4ry2VGY5+Trstmz2VptkB36PP5kxaDsY+uio6Xt642\nKBcMNvd77B4PMXWVWsnENlXO6jgVWai9vs9h6wIX+ENwXsGoSKLQtDdS6Y/8adfTq3DmujrrQXIm\nIf2Rz9JMftoNddQaM3QCbl2qUcjpeBkJLT4vhYvmb99bZjAOeHooXGi2qTJ2RW9WLi/zcNjiUnmJ\nB61NTFnBjwJUWSZJU/reED8OpkS9oeiUzSISEpqiYag6cRJzqbzE8bhFrTzPYWtEIScI7iCMqJdF\nlOFpbzJ1n4qMfdFJk6Yprf4kiyuMsU1BrCuYXJ9d4XRwj70stmWumsPQlYwcFgO3M+dutWiKuJKx\nzyBbr6/PrqAkJoqskKQJNatEEAecOh1s1aRilkCScAKXKImmz/Ms5jRNU5zAwY08LNWkZpWIEvGY\nziREluH2lRk+/uaYTx+coMgSV1cqWIaGIkOcwMQPebzXI05SZio2fhhTLRhcW60wGIdcWSqxezzi\nN18JIUAhp2duUBNdlZFlic7AxTZV7mw0qJdMWn0XP0w4ao1pdhwWZ4WCFSTm6nnWF0r8X/+yjR+I\n7P3OwCNJUmxLQ5UlJBnSJCVKEtxJiCxL1Eomh60R//AvHv/ug2U0ZZAJMP58PxvP1Muvi+e5wAX+\nHKHICiN/zEy+yigYk9NtgihAMcTn7OvWDTkTc+mqjhO44uf98UsOZlmVxAB/q8vaQomtwz4Pd3tM\n/AhdU7i8WMSyJTRVIoxSJm7KTnPEwemIzkA4yy8tlHi43eXG5SqKKnGWhhkmCXnN5vrcKif+IUet\nMUfnnBCt/uSVzzmMAp7s95iv51ls5Kko81SsAs4kpJQ3pnGRj3d7xMDu0ZA3rpWQrBGB5CBrEnUz\nx/QoIUGawMgbEskpFStHZVJg/0i4Hq8tlf6ETutng/80hYOTMWEUMxj7GKrCf/zxCqqqZKkXKVEU\n82SvT3/soykyrhdNxRKvKlRXFZWxG/DX7yzzjx/vMXYjLi0UGTo+cZxiGiJK7kzYFicJXiaULOYM\nmh2Xf/x4n795b5n+yEdVVF5XlvPH7LJ5FQxdYaGeo5w32DoaMHaDqbBCdPCUsE0VQ1e+9Tpn86E/\nBkZOQBjFU2eTJEG1ZDIJIh7s9L4T0XIeZ0KSjeUyS408L4pQLnCBC1zgh8QF2XKB74wkFW4TCaHi\n/9fsm+Lsh3ePhqiyRKc/ERZRVeKv316kO/S5+7RNnEYYhoSqShQtg0JexUvHKFafZDim67UImBDE\nkDMsTEPDjSYcjUasVue5Wl9js7eHoWgoskSUxHBO91nQ81MFkyzJ1K0qTuiyUlpkqTjPk842J+M2\nXiQG3fOFWX66/C6dSZ+j4TGqpHCjfoWO2+PUaRMlEVHmolEkha7b5zfOJ6xXV7lWv8Td44eosooi\nK5yM2+iKxo36FR51tpCQ6Lg9FBmWanO8e7vMuK/w0VcdpKxXQ5ElqkUTORsAa6rM6nyOatmgmNc4\nOHEYjqLMLTSglBe9D92BT2c4YbFR4Ee357i1Xue//naH8SRCVYQjoZLXieKUKE64cUkUzxqaTJQk\n+H7CrJnDvhRxMu4INa6U0nMc1sorfLz/1TTKoz8ZUzTzJEnKKHCzaCoZRRLff/G9s1pZYq9/yHxh\nhvcX3uKzo7ssF+ep2mW80OfvH/w/AKyUFlktLZGkCUESUDZLPGhtcvfkwbPNPmQZ/On0NdAVnZXS\nEv+09SFxEqFJEpaq4XoRJSXlvZtzbDeHbO73yVsapq7QG3kYmkq1aNFsj3nzSp2PvjnG0JVpsbkX\nxCw28uiajBsl5Cyd+XqOcl5nkg0JAWYqNu/dmOWTb47xA0Fk6ZpMrSRyjQfjAF1VaA0mWLpClKRi\n8JakXF2tUC2abB0OeGO9gZlF67T7I3aaQ+Zr2eB+qYyuKQwdn7ub7Sx3WBLqNEPlpOuyOl/EMjQc\nLyKJUzRNRpYkHC8iThKOuy5DN2Qw9hhPQnRFoVGzuHOljqYqFPMGzdaYVm/C19sd4kiwa5apMVu1\nubq6gK7KfPT1Mfe3OkRZyeRMNcf7NyoYmkIcN3l6OCAlfTbsUWV2j4fIksR7N+f43b2mUFBrsnDr\n2LpwCRkKiiKTy16jME75izvzzFZs+qOAzx6dMPEiokR0SVmGyrvXZri6UuHp0YBm22FlroCuKWJQ\nLEvUiiYgce9pm5ErvmYaKnP1HG9t1Nk/GfPR18e4XsjSTJ6cqXJttUIUJ/RHHpIkcWmhSG/oM1vL\ncXmxzP3tNs2Ow97xkHrZopQ3eP/mLGmSMnIDmh2XoRPQG3rMVAQZUyuZfPPCISKIYo67Dh/ej7m+\nVuWDW3NMvGh6IAKYreXI/ysPWxe4wPfD8wpGCagVTUp5Y9r19CzH/XnXlSpLzykKtw+FuyWKk0zJ\nq7PYyGfxeynHbYdJELHbFI5ay1BZmS2Ss1TeujrDyAn56vEpeVtDU2Xytkr3dMBiYZZGrsrT7h5D\nf0wYC5dgTrexNRGNlaYJURLTcjokaYqmaJTMPJcrq9iaxdHoBMsU0RTdwYRbl2tM/Ji94xGOF72k\njBw5Ae3+hJypMlvLsVDP0xt5KIpMd+Cz0MixUlxhrdbiUfMQW9boDER0TM4SnWhKFjMZRQlbRwPi\nOBURqobCxswCq8UVQTBIClESMZNvMPDHALiRhxt5KJLoHjBV49ywJ6bj9ohTQYZZqomtWczkG0RJ\nhCppSBK8cWWGf/5sn/Zgwk/vLFDK6ziTSDhbUhGLVrBtLi0UGYzFsO644yIBj/Z6zFZztPsTfvPV\nIeW8Me0pq5dsbFPjtCucPFGSoMoy7Z7HlZUy5bzBk/0O1aLJnSt1do6H/N27yyRJyrXlMg92e5x2\nXfpjH1WRmanYyLJQro6DZCos0FWZ2ZpNkqSc9iZEcUI5b7C51+f6auXP1tQiyxJemNAdeWxlw7o4\nSZ5Tr1cv1o8L/JlClTT63jD7PEx40tlm6I+ydUPG1ixM1czOLilxEmXrRpKtGwWu1C4xk2/Q94ao\nkvbC9RXSBGxLY/Ogx+b+gHLB4O1bZWZmJax8CFKApEikcQqpxs1xldOTlO29CY92RQfgXC1Hkohz\nzRnb4ocxmiLz1uIG/7w54Kh9Mn3cjZlZ/vO7b4rkBwWSGCZ+xP/92Vdst09JUmi2x6w35vjLa7f5\n5SfH9IYe8bnC+/euz/DJgxPWVg2kfBfLkqnpZdzI5e7pNwz9EVEcoSoqRaPAzZkr1PI2buARGn3W\n1DK7zQGrs4WX4rheh38tKTwd/EtQKVh8s9MW3WF3FpkEId9sdRlNQqIoEY5zS+P2lRqWrvH1dpud\n/SE3L9XoDSevLFQPo4iN5TKP9/qcdieoikRB11mdLZICJ11HxG5msXCWoXJpoYSE6FqdeCEnXSE2\n2VguE0YRxgs9P+fxx+yyOcOLsXCaKrM6W0BRJGTEuyuOUzp9l+MsyaSZxYi9KhbubD70x8CLvSpn\nvZ4Pdr8/0XKGneaQ2VqOetm6EBZc4AIX+JPigmy5wHeGLJ0VCQq1/FlvyB8CVZYZTyIkWeS6h5Eo\nHwcYuyELczo//0meewdPafYG2LZMWw1phjFLhXnmaw1OI5Ot/gQ3CDA1BTd00TWZIPVQFIkP9z/n\n55feR1JSdnr7aIqGpmhig4zKfH6WMIk4HbdpOR3hfAHeWXiD95fe5Bdb/0JzeIKtmcwXZrlUWeZ6\n/QoPW5u03S5REuEnAbIs1Jols5jdJ2VKupwdaHd6+0hIXKmu8cXx15iKySTycAKXml1loTDLyB+j\nqzon4xYAtdwOzXGL0mqRH89UcEZFdvY82oMJFdvkzvUChh2y09/jIIqIezGoEmpN5283lpECk/EI\nnGy4IcsSrb7Lb748ZK6e42/eW+afPt1H10QUyOXFEnP1HK4X8nR/wFHbIQhjqiWT1bkCjWKRW403\n+fr0AQ+bh9zfa/LW+iJePOZydYXt3j6yLKLD+u6YopXHyBRfZ3FlaZqgyipRpoBer61iKSaXqsvE\nScz/8vX/ia5oHA5Fp05Os1AkhUk44XF7i5xm4ccBYRLxd5d/xlZvFxmZRErOvbdUoiRGkRRUWcHW\nTAD82BeElapQzZU5GcTM2zqTScL24YC8pSFJEr2Rn3UDQZQkDMYB6qLM8kyBrcMBxbyOpsjEccJg\n7BNGCfONHDcv1fCDmAc7XYaOKKfMWSqWofLBzTlW5gp89vCEo5ZDf+QzdIbMVCzm6zmGjk+r56Kr\nCoauoGsK840cV1fK+EFCpWhyf7tDb+ShKc8UU0MnYOgGWTFmkXrF4id3Fvj46yaTICZNxXtwtlag\nUdMwdVEG7fvQH4VZPIyITDtqOZx0XX721uLUodPpe7Q6Lh/cnueLh6d8/ugkK5JM8APx3pBlibub\nbX752QGVosFiI8/afInf3TsiTlL2T8Z8/bTNYiPP1ZUKizM5Hmx3UVUlUy8zLQSdrdlsLJfRNZm5\nao5iTkfXFPww5t5mm/7IB1IKOYP5eo7Zqi0yqYOIetnmo6+PkGWZmYrFbDVHrWzx4f0m3aE/rQc1\nNIW3rjZQZYlPHpzw1WYbWRKq7UrBIB167DSHfLPVYb6WY64m4tnOlNqSJCz7b1+dYWO5zMHpiPEk\n4MvfnYrHLJm8fW2Wwcjn6602H94/wVBlNE2hWjBxvJAvhy364wa1ksnP3lzkt3eP2H/NIcKZhDza\n7bHYyCGl6XMHomLB4OpyGQW+92HrAhf4Q/AqBWOaps91Pb0u9/tFgmLih9y8XGW7OWS+apOzdFp9\nl6cHA7ojjzBMyFka40lAFKcYmsL20ZBSXufKcpm5ao4f3Z7nq8en5EwNRZGomEVOnA51u8bR6JTu\npE9et5EkiUnoC1drNpxXJOWZ4yOcYKomDbvKqdOhbBZRVQnPj3jjSoOj1pjTnoumytiGcLFYpoqq\nyETZPdk/EUTM3vGQRtlipmpzb7PN/L8zxVoyiHlj5ia2qfGweYjnC4Wq470+HiQIY1ars9ys3yCv\ni3hC0pS1yjK9yYCyVSRJE3QlW2vTGD8OkJPnOwaSNEGVhMNFliTKVhFNVrlUWYY05e0bdR5s96iW\nTNYWinSHHpsHA47aY0Finw2OTBHXWC0avHdDxL599aSNaajce9ohimMaZQuQWGzkCKOE3eMRQycg\nCONpdOZZFNh2c8jyTJ4bl6qM3BDDULlxqUbO1lBUGVVV2DzoM3QCGhU7cw65BGGCF0TEsRDPSEgo\nisTQCdE1mXJBkE2dwYQnB31ur9fR1T8/MiFOU54cDNnJendezOUfT0JaPRfb/H4xNBe4wL8ZZJ+n\ng8mQuUKDw2GTltNBVzQUWcENPZJznVdy5piPkxg/CrBUk/l8AwV5+nl6HmEUoaqCeH600+PtW1VW\nL4GZCwiY8OD0Kf3JiCAO0RWNslXgxsw6V2sWK6s2u9s2X3zTpV6xMvdLhC49G87blsbjvT76ZJ6N\nmQk3lud4e32RUTjkk8OP6bhdvCjAVHVqdpX/4advUtA+4O72MY8OmyjOHF980yWJRefi2Szd9UKe\nHg3JF6A2G1Ivldnp7/G7g0382KdqVSgZBWRJJkkTwiTil9u/w1AMbjSusFZeYSCNqCWFV8ZxvYg/\nFimcpGJgXytZPN7t89/95DIHrTH/9Nk+vaFPq+/iBTFxLDrITF1hpzmiUjS4vlblznqDX3y8z8ZK\nCc+PXxKWpqkgUD76psmNS9UsqcPjqN0jjBJMXXTLqopMSsp4EtLeFvGY1aLJbE2cbT78/9h7kxjL\nzjNN7znzcOch5iEjx8gkk8lJolgSJZVUbTca5XYDhbZhwDBQGw+bWnhjwzZglBe9shcGXIC33tiA\nYXfbrgK6qrpKVU1REiUyOSWZQ2RmZMzTjTtPZz7Hi//cmxE5MZPMFKVSvAAZyIhzzz3j/3//937f\n+17f48q5KslTlgE8Dy8bgDA5TrQAx3Iwj8OTZOFG+aHngUf5qiRxQv1Lju/LUG8NSUYs1QlOcIIT\n/JpwQrZ8w1heXv494E+A7wFTgAusAP8P8L+srKw8vTPaC4amiICn7/jCS6D51Sc+29Jo91zOzBZo\ntMV+JAkWZi1a0QE/29oCOaLWGjI1YdANOyRBjITE7VYXRfMpZ3IUMiaJ7IOUoCvKWLNcV1RUVeVX\nWx/x9sIbTGUnWDm8S8frIQFz+RnabpeO28VQDVRJZTJT4Wx5iaxuc/twDT/w+OHS2yQS1PqHJHHC\nSuMeH+x8OjabDaKQ9fYWmqIyYVcomnksTUgv9f0BbuQJWbIk4nbjHkUrT1az6Xp9DNWg5/f54uAW\nr06/xPXabZIkwYt8SmaBw0GDW407lIwiWlzgoBdz+uwc75TnuXu4xWe1W3QcIcchp3IjI1+Ig56Q\nFXnz9Dlez5R4/1NB4Ahppnisq//Hf3iJncMBWVunM/D4q/fXafc88lmdqZJNlBr3fnr7ED+MWduR\nqJTnOFvSuBNuYqo6q40DTpfm8MOIu43NsWbtwHOxNYuKZRMnIf1gSBSLaiNDNThXXuKlifNstLcJ\n44iPdq5xOGwwn5+hZBUIohBJlymZBfq+eA1Gfiw5K4sTuPR98ezIqR2lkJgSnTSSJKHKKvP5WQ76\ndQxZw4l8dEXDVHXyps5cNc/PPt3DNlVhjhgzNnYmAU1NkCT4yYdb/P6bC8LcfuAzcHy8IAIJfvTm\nAq4X8Ytru+wciuPMWirVooVtaqzvdfno1gHn5kssL5Y5N1fk2moD3xceMt2Bh6mrxHEylix77cIE\n02ULEri51uDz1TqaqqAqMn4Ypx0hCn4Qs1cfMJP6xHx6+5Dzi0W+++ostzdaLMyZWPmAjdYmnxz6\nyDJYukbWtDg7v0jsmnx0o02vL6SxTF2hkjdZ3+vS2nLQNIXvvDTNBzcO+Pm1HRRZRpVFdd/iVA5V\nVdjY79HsehQyOts1IcV1fqHID99Y4N2PtvDDGCRRWVTvOCwvlvj2y9O8+9E2UZygazKaqnB6Nk8U\nx/zw9Tk+uH6AqsjsNQbc3WrTdwJKOeFl0hv45CX48MY+jhcyW82yfKrEVNkS98KPsE2VoRfyxWqD\nensIkugE6w19pssZ/ur9dWRZ4tx8kR+8JsiOYl5n6IU4niACkyQha2vc2+0wWbJ55dwE7368RdYW\nVYv/309XOT1b4OJSiTCMeeVslZ9+ssOpmTyf3D5kbiLDVMlmcTrHzkF/LHlTKZoszeRwvAjHjfhk\npUYQxuSzxtjs8UEMnIBGx6WY0Y8tiHbrAxRZZnm+cKJB/DuCb1oK6EkVjKNkwNG17JOeyygWnRvF\ntKvy87sNbm+10qS8OLcECEKxD9ePkCVo9z0+uVVjabbAa+cneOulKdb2eqiyTMHIs9er8bP1X/Gj\nM99lPj/DF7UV6sPmEaNjkQSJkpD6cEDFLvOd+dexNZN/ffvveG3mZeZz0yiSzNuvzLKy0WS/MWCm\nmuXCqRJ5S2PgiUS/BOiaQi6jszSbp+cErG232WsMCaOEt16extQ1Nmt9Gm2HUzMFLpUuYUg2t2ub\nNPr9x16fSjbL+YlFpsxZdnZ9dqU6335pGkmSyeo2jWGLhcIsAAe9Q6q2MIDv+wOC+L7UiCarTGWq\n479VcxMsFGap9epkdJuYhP1gnbnFAgQ2H1/vcO3uId2BkBQ5plcvwe7hgHxGZ34yx+WzFd55bVaM\nta0av/fqLDlLp1qy2G8MWNvt4gcRYdqxk6R+NCNvLj+MubPVJghjFqay6JrwGBs6AVrFpN33OGw5\nTFVsBk5IoyN8v4RPnSI87JDH2vjt1E9r6ArJt6myzWHLodP3WKhaj1Nr+QeJUfXyQXNImMYXj9Pl\nD2O4ca/xlU2tT3CC31ZIkkTZKnC7vspKY42zpUXKdol7zQ3RqSIr6byRelsSMwwcimael6eWyWgW\nv9j6mOXKaU6XF5BSeapRQjqKhfzz3Z023//WJOcuxmz2Nvn52gr73SYPzt3b7QO+2FtlOl/myswy\nr7++SNaa5M5Gm8XpHFEijVW8VUVm6IV8eGOfTs/lv/pPv8/15k3+98//Jevt7YdPtrHO+1sfc7o4\nz3eXvsUfX/ge/+J//YJ8bsi/89Yia0c816YqGdpdh9dfUygWTT7c+ZSm02EqO4GuaPT9IVESEsXC\nC1JXdM6VT+NHAbcbazSGbd6av8JQ89k7GD4kx3UUR0nhR3mT9IY+tebwqbxJZAkytk69PeQff/cU\nH92q8flqnYPGkIErPDrHHw1h6IYctl0ypspeY8Cr56r8u7+3yMe3DqgW7Ydy86oKtbbDVMke+4wM\nnAAS8SwNnPCheU54UIpYXlNloZRRztDueRQyKn7064nlZFlibatzjGh5FuzVHy0LN8oPjfz7vg4e\n9FWRJKinHqRZS6fvPPt35GwdVZFpdL+c9DvBCU5wgucJ5U//9E+/6WP4ncXy8vJ/C/wfwCuACawj\nQqiLwD8C/vmf/dmf/b9/8id/8tX6Jr8Ew6H/p8+yvTD5U9g+6KMoMgM3GFd8PEu1oARcPlcVSeKq\nCDYkCU4tWNzprnC7toEXBiDBwnQGjwExIU2nQ9frMwz7NJwmFyfPcK+1jqFpuKGPqih4oYciiyqb\nnJ7B1Ey2O3tEccTFibOcqyxRtco4gcMwdMjoGU6XFnh1+hKLxTk+3btOx+txOGwwnZ9ko73N3cYa\nfX/AXH6a67UVOl6Poe/gBC5JEuNFPn4U0HG7JAg91/qgSc7IktMzOIFLEIeAhBd6LFfPstbaQpVV\nbM2i7XaYyU2x2d4hiEMszeTixFnWW1uUrQJ3WxvomoyhGnT8NgOpTsYwWa3VsAzhL5KkArNxlOCm\nRrCmKbHbqRMpLpfmZtncdYjimCCMOb9Q5rDloGkSWUvj89UGH9+q0R34TJUzAGwe9FAVmf4w4LUL\nE6ztdfngxgE37rW5sniKywunIBZSY++vf8GF6mkWipP4cQCJhBRrhIFEHEEcycSBSs60mc5VeGP2\nFQp6nr++8zPmCzN0vR67vQOGgUvP67FcPYsTDgnjCEszSUhwQpcojsjqNheqZ1hrbTIIROI5IUGV\nFUxVeGeoigoknC+fRpVVbjfWMFWTYegyl5/Ckm3OF5dx+hrvf75HEMRpN4tEGAmCSVFkvCDC0BTi\nJGHroMer5yeYLFn0hwFDN+Cd1+aotRyurdY5aDpIwOJUbmzc3O551JpDXD9mrzFgY79LKWfy9uUZ\nDlsOkyWbjK2iyDJT5QxvXpxiomSxXeuTzxhs7Pf4fLWBmnbShGlyz9AUwjAe+5qcms5RazsMXfGd\nV5aLzJ/x+XTvBl/srtEc9Bn6Hl4Y0OwP6XtDbuxu4UptLixlyRsZNvcGdIc+SBKXlkpsH/ZZmMxR\nazl8cH2fIIjHFbFzkzkUWWa/MaDdF10jpqEyTCvem10XVZG4dLrC1kEv7cYRydJayxHdVNN51ve6\nuF5EOW/hBsJce7oqWr0/uX3IR7dqdAY+jif0lv0gppgzyFoa3YHwYjhoOewc9jE0le+9OksQxqzv\n96g1h+wc9uk7YarBnHBqJk+SQK09pNX12KsPsE2NNy9OcW+nwyA9fkOThXa2FzJZtFjd6aAqElfO\nVlODZgijmMO2S5KAZWrUWg6XTpdZ3+syXbbpOwGL03ksQyVOYG2nw0FzSHfg4YUxp2fyvHq+yie3\nDynmTFw/Gt/ToxhpPwdhRNbWH1r4CYmzXNpB8PWRyRj/w3PZ0QmO4Vnn2wchyxJemHDYcbm2Wufu\ndoe13Q6bB332mkM0TUHXVDRVfqELyQTYPBB+TV8XlqEyXckwdCM+ulXjxloTL4jHx28aYpwLo/sn\nNNKSD6KE7sAjThJeOTeBbSicPZXhYFDn6s6nFMw8dxvrtNwOFyqnuVA9QxhHwjMqJfyrdpk3Z1+h\nYOS43bjHenubil2iPmxytnKaqWyVZivmwxsHfO/KLIvTIsETxQm7hwMOWwPqbYfuQIxNlqmhKhLT\n5QwzVZs7W23evjzDTCXD2m4XEhj6AfuHLlm1yHR2kjOTU8hKhKYqmJpG3rKYKZR4Y/4lZswFzKRE\nqyMMj4duyGTRZn7aYLdfI29meW/9V7wxc5mp7AT7/UNqw7roWpCksU9aGEd0/R6WZvHG7CvMZCf4\nYPtTvr/0FpqsUTByvLfxAZIiUR+00fSQnJVha2/4SLnYOAHHi6i3hSTiqWkh7ba22+XMnPDB2q0P\nuLvVYeiGeEFEGKXdTUfuY5KIexlGolNS02Th72KIjqFqMcPPPtvF9UIGbsh+Q3TbGpqCpoqOotF/\noxjU1MVnXT9i6IZYhkrO1gmimAuLZaTfkSxLmCR8dKvGXmNAs+dx0BjS6rkE6RwTx8IXLQhFZ2t/\nGJAg5rWBEzBTzSB/Ax0ulqWnHdIJzhMMof8h4Uag0D4AACAASURBVGTOff54pvlWjWi5HVYa97hd\nvwckKLLKXG6apdICURKL7jlJwlQNKnaZK9OXKFtFhoFLbVBnu7tH2S6xmJ8lp2dZ3RoyUTDTMS9h\ns9ZH12IuXU54f/sq769/Rs8VfiqSLIrExmN22pHY9xzuNbYIE4/Xz88RuzoZ02BhInOfyCFmu9bn\nvU92+K//s0v85epP+MuVd+n5/fudBkf2LUsSiqzQcftc27uNGzn8J3/wbf7qp7u8crZKq+uKQjJg\nqmxzZjHD7KzO1Z1r6KqOrVn4kY8Xeay3t9ju7rPbP6AxbDMMHWzNJEkSCmYeTVHZ6R5wpjqPKmlk\ndOORY4ofi7FqbadDED6ZDR91YPSGAZOVzCMJF0WR6Qx8zswV+OT2IT//bJfd+kB04KbFYnEMoyZL\nAFUR83qz69HouOiawhvLwot1pmIf54hkmXc/3sbxQnbrfXpDka9QZDF/jX0p0/uqpt2wiiKDBEEg\nvDpzGZ29xoAYuHmv8WuJ5bww4bM7h196nZ+ER605xvmh2uOLR54WV85VyVr3a8ElSeLaap2hE5Cx\ndYIwfij+HK2T4OF8VM7Wma5kkCXww5jFydzXPsYTvFi8yDjgZL49wa8bJ50t3xCWl5f/feBfpP/8\nn4H/fmVlpZf+7TsIEuYC8H8tLy9/b2Vl5Ruvx0sSKOdMMlbqd5E1aHTcZ95PIWvg+iELU7lxJffC\nrMnt9gpbLaE3K0kwPWFRd+usNXbpOQ6GoZAQEcYRHb/HMHAwVYODfp2imafvD4iIsWSDopUnjEN6\nXp8wDnG6LlvdXU4XF3l1+hJe5FOwhDGurmh8sP0phmqgpLJTU5kJel6fltOh6bQ5VZhDlmS2unu4\noYciyciSnJIo6fUBWk6bOIkp20W2u3uUzALTuSl2e/t4kc/hsMkVVSenZ4jT6G0Yuqy2NpjJTXCv\ntUXJLJAzsuz1a5yvnGYuP0V90GDCUjF0jU93trgwucAPXj7P1dU16i0HNTWezWV0ojhh6IqFczln\ncndvj6gKv/faKf7+g30WJnPUO8LA/PLZCvWOx92tNoosMT+dp9P3aHY9MpZKGCWcmy+yttvl7qbY\n5vffXOCLew02f9Eja2n84NuneLkScmdnn7Kd4+XSqyDFrDY28ROPmAQFmdlSjml7BjuTsNXdZbWx\nwUJxGkVSaAybDANHVOBmq2x2dsjpWeIkIk5ipjJVkiSh5XY4VZzHVAwOBnXxrKTmxrIk4ccBiqSg\nySrnKufI6lneW/sVpmZiGAYlI09ez9PqD3l5ssBP7h6IKiMJPP9+u7gsiYAtCIXEiySJpNAH1/ep\nFi1eW55kfjLDp7frbB30UpN7IW01cET1qOdH+MHxFvSBE/LuJzvUWg5vXJxgt9YnnzWYrth4fsRf\n/XKD3sBnsmzR7nvc3mxh6MJjZJRwHAXzYXy/6mfgiqoqRZb40Xcmud64jtfs44Te2AdgVHXleAG6\npiBJCeu1Jh1nwGJ5im9dWeTdX9W4s9UiZ2tcOlXmsO2wVeuPSQgAQxdVYX3Hp9FxkSSwTRXXOy4t\ndGerzUTJYnEqx85hfyxzFccJ97Y7afeOjaYpdPoera4nCMMY1mvdYx0cEqOKsQBFkXDcgGLW4LDt\nUMzqY0Lwo1s1bm+22G8MsAyNTl9080QxaIHwmgijmErBopKX2K71uL3ZQpLgteVJ3vt0B12TCaMk\nfY9CFEXG0GRWd9pMlS0qRYtGx8EytNRkVJxnvTVEkuDCQpHZiSxbtT6f3K4J4szWsU2NVnMgqt2a\nQ+5strm32+X1CxPkbJ1ac0jW1vE6jzM0jXG9kKylHluADZzgqSQaTvDbi+dZ9fl18VwrGA0Nzxc+\nKDfWGg8lABRZwvMfT+p4Qcz1ew1mJ7IsTGaRgCgOMTWTttNlEAzp+wMO+ocYmsFiYY65/FQqNRky\nDFze2/wAL/BQZVUkpICCmSeKQ2SgP/T4ox+fIwhi6m2Hjf0enb4nuiuOdBcpipz6zhgsTueYLFn8\n0Y/OEoQxhi5zd6vNVMWmUXdY2WyhawrnF0oUs0UW9AyRHiFJCUkioaCg+RqtvsfdrRp+EFHIGqzu\ndMjZOq9esdnpHjCXm+L7p97mV9sfI0sS5yunuTJ9ifX2Fj1vIPxYZJWckWGpuMAwcLheWyFJEn6w\n9DZVq8x2d5+53BRrzV0+XFslq2U4X11iemGGPzCm+MkvDx4igEeIYtjc7/EzdvjDd84IU+eDPnOT\nOe5sbdF3gsd+9iiSBDoDn6Ebcm+nQ6VgYpkZXD/EDyISYL8+SCuSZRwvfJgESkjJgxBZEsa/siSx\nVx9wdr6IH0S4foilPh+pk99kjKqXd+oD9uqDp6oE9kPRST66tuXCr9vU+gQn+GbgxSGHgyZRFLFY\nmGenu4ckHVCyiuT0DEUjT8UuoUgyURITRRG73X16/oCW0yZJ4FRxniiKqA0aVOwK67v3fUpkRaHR\ndnn9NYOfrL3H53t3AZAVCQmR/E+S+9J+SBJKKkGVxAnX9u4A8OPXfsD1z10URTkiVSbzya1D/pv/\n/DJ/vfYTfrHxMUgQRaOuCrG+GcnojsbJ0cd/vvERAP/df/Fj/tVf73JxqcwH1/cBMYYun8lyp3UH\nW7MIk4j94SF3Gms0nfZD17E2qLPa3KBsFTlfOc1sbgpd1dho73CxcoHkEf7pj5K0ehp8maTVbDXD\n6m6Xn3+6S7sn1kFB9PBYNiL94/RvqiLR6rr87LNdpisZzszmhczwkc94vujkaabElOOFuGmcIklg\n6kIO+r5nWkK775EkoGsypq7Q6fskSZ9q0cTzwnGh2ouM5SQJmj33kTHks+BRa46j+aGvs/+MpVHK\nmcfWMkela5X03rZ6Ku2ehx8+Pj7UVYVizqCUM8ZCbY/y4DnBCU5wgheJE7Llm8P/lP78i5WVlf/y\n6B9WVlZ+tby8/M+Bj4C3gf8A+D9/zcf3SJiazNJsgeurdSoFUY3df8qki5T+/8x8MZ2YDXZqffJZ\nnVZUO0a0zE3bbHV22ersi+4GQyFIAqI4IklEYuPjvRu8MfMy/+rGX2FrFlESCxmNBJpOGy/y02+U\nkBCa5VW7zN/e+xktp4Mmq8zmpzkc1JnMVNnq7pLTs3xr9lUAPtz5lJ43IKvbnCkvcv3wNm7ojfcJ\nHNPxFf9OaDtdLNUko1m0XGEkPJObZLO9Q0zCenuL6fwka81NLM1ERqLnDcjnswRRwEJhjv3eIXkj\nR3PYJmdkkSSJftihoJeYLRe519ymZJbQJYMgcglTQ0MnbZG2TJWpkk1n4KOqMrvdGsXJPK+en2R9\nr0N/GLA0k6c78DloDFEViZlqdky0AFTyFrIszunWRguA716ZZeugy/puV8hZyfDnf7/J9781i4XL\ntXu7fMYBtq5zenKCkq1j6SqOG4CXcKdTwzAShnKLK9OXmMpW+YubP+F0ZQYQ1SkJ4hr2vQG6olOy\nCuTsDEvFeV4xLlGxi3yy9wWqpKIqCiQQxiF+InxaFoqzXJo4R88bcm3vBpFYspDTMmTVLPVun7PF\nM3ie6AKK0+6Qo1BVeZz4C6M4rbSV6DsBfhhTyhlCh7fjMFW2aXZdJksW+80hO7XB2BPgUXkKSYLV\n7TazExnubHfYrvW5tFTiR2/O46XyKGfnily7W8fxQmxTpXPk+BRFuh/Yk1YHp1/03derbLur3K3t\nYRkqEyWboRukC7j7kj5DJ6CQMxh2XRwvYqN5QJiPeePleT6/LTowZqtZ/CCi3TtOqFbyFlGccNh2\nxos3WZaJgocD7DtbLV5aqrCx30sXfuL3rh+yVevxrZem+OknO+Nnbq5q00r1ml0/opDRRVJXIjXI\nFgm0w7ZDIRtTzpu0ui7/4T+6wE69z99+uEne1ilkTTp9b0y0gEjsjkwrt2t9ynmDUzN59uoDbqw1\nefvyDHMTNoct91iCsNFxqBRM9htDbq63eOl0hYPGEMWSxrISKxvi9zfXGry5PMnN9SZ3ttq0eh5Z\nS6PZdTENlayl0x36SEjIUiLk/BIo5gyunKtyfbVxnxx7BJo9l6yV40EphtWdzhMlGk7w24sHjUyf\nhIETcH21/oKlgBLOzBWofQ0Z0RGW5vIM/ZBPbtdE1944IwSqKlEumMSRSELFcUIQxbR73rHxOo7h\n09s1Lp0qIUkSe70aAINgSBRHhKkpvBt4bLZ3UjmY+14mbuiRkODHAaqk0PeHFMw8e/0aSBK9fsBU\nOcMnKzVubbRwvBBdUzgzV8A2VFRVJgxjhl7I+l6X7VqPRsfh0lKZ15cn2av3kSRR0ZoxNf7NrQ2m\nqxmSOOHqzX0kSWJpRnTAaapMEEY4nsf6XpckSagWLHRNYX1XdM5u7ndJkph+0CdKqkxmSszlp7h5\neJdfbn2MoemPJJV+sXUVL/DRFJVLE+eYsMtEScQgGICU0Hd8fD+i4XdpDK5xrtritZmXeeeNSd69\nesDjECeCcLl255DvvjLD9Xt1Gm1Refw0RMtR1NsOlqGyvttldiILCcSxqGRWFCHFM5KUexJGnTea\nKojyemvIdNl+pmP5bYYbxNzb6z5EtJi6wlQlg5F28cZxghdEHDQG45hiRKLmbO2ZTK1PcILfVsgS\n3GneIyYmo5vkjAz1YZPt7h6qrFAwRJfG2JskCul43dQbUqZql7E1i5iYO801Lk9eOJaQjqKI5TMZ\n7rav8fneXaR0Xk7ihOiBChkRUyfEqRznaNtre3dYLM2yfOYKYRSNu1bCMObyuSqrvRV+sfHxOMZO\nUgnO5IExeBSzHsXPNz7iVGmOV8+fZqxPBkyVLWLZI4hFbH/t4CarzY0vvZ5Np82vtj/hbPkUb0xf\nJohCAjwsLXOMtXhRklZBJPS7rt7cp9UX8fzTTkVhJK57q+fy4c19zswVCKKEoxR9gmiJ6Q19Bs59\nogXEtR1JET8IQ5OJooTuIMDUxZpdV5VHdvu8mFhOFJw9DzxqzXE0P/RVsTRbeMiT50HpWgmo5E1R\nuOuFNHsuII3JSl2ThbePoaKm3RH39/X0z8IJTnCCEzwPnJAt3wCWl5ffAc6n//wfH7XNysrKJ8vL\ny38H/AHwx/yGkC1xnHBmJkej7dAZBsxOZNipJbR7j68uGFXu+FHMTDUjZJgcn59f20WWJd68XOKL\nxhaj2pvpCZvN1h69oIcXhqLSnDD1SRHbSBKst7Z4Z/FN3pi5DJJE3sgQxiFu4NMLBmy2d3BCF1mS\niJIYSzexNENU5CSQ0W0kIKNnUkN70Uq+WJjlb1Z/iiZrlO0Ss7lJFFlh4DvHSBZFevj1SRA62C2n\nQ8UupectTA9PlxZpu12cwGEqK+S2Bv6QklUcV6CeLi0iS7DZ2aZiFWk4bXRFI29mORw0CaKY6dwU\nmiJzp77OudkL7Hc643BHQlSBqGEqy6HKFLMGvaHPZmeHyzMTfLwiEttnZgt8eueQMIqZKmeIk2Sc\n9FYV0fo8N5FlZaMJwHTFJopj1ve6BGkGe+iG2KbG3/2yxjtvnKFypjjWob97sE8QioDSMlQ6A4/F\nqRyabPODc++gaCGrh/u8OfcKXb+NrVnIcoZav0FMjCSpOKHLoDvEi3zeXnid8+XTBFHAZKbKp3tf\nsNXdI4wjDEWnbBc5VZzDD306bo/3Nj7AVE2KZg5D0dEVnc7QoaBXUSObWI1xveghogVIk3HpPU07\nRhKk1KQZZqoZPr0tfHA2uz3COEaSJLYP+qiqjKYohFF8rFpNkqT7XSmhqMheXiyxW++zstHi9GyB\nV85VuXqrhqEr1NsOpq4AaadNArKcakYfveGpFMt0xSax29y9twcI03ldlclaGgmiI0Y8uwmeJ0yi\nVUVm4ATYpspaY5+XJrPMVrPIkiCWmqlO7giqImHoClGc3Pc2Gf//SKY0RaMtSAbbVHHcEEkWxwrQ\nHwYiURkJ0i6J4dx8iVvrTSGZ5Au5mJFPjakrGJpCd+ClVWUeGUvj7cszBHHM1Rv7xLHo8snaetrK\nf3+8GEnEjdDsCvmzuYksqzsdVjaavHK2ym79uM6150fkbJ0kgUbHxTZVLFPF9UNMXcHxovHvv3Vx\niqs3D+g7QWrGHCOn+tDNrstE0aI39EmSBFmWiKKYgRvg+SE3FIlTszn6jv/YroGRzNiD666Taq1/\nmHgRVZ9fF8+7gvGjlRr7jZFvm0TWUinlTSFh6YhuhyCMUWQx9ixO5wnDmGbXYeCIasda0xHkb2IS\nJBFdt0+SJIRJhCarmKqJIsm4kYcfBWMyXJFlCkaOKIlxQyH3KScyXbdPEIsx8tRsjqs3D7i73aGU\nM3hzeRLDULm302Gr0ycIYzRVJp/R+f5rc7heyNpuh5WNFlGc8PqFCUiE1OO9VCZlc79HxlKZKNpo\nqpBjFJ2VIn4wdIWZSgY/jGh2XQZOOE6BhVGCIsnM52Y4GNR5d/2XvDX3GlW7wq36XRrDFquNDRLi\n+5rxyGiKymx+iovVc+iKxp+v/A2/v/Q287lpSCQGbnhs9L5b3wLgO2ffZGXNHt+jRyFO4IvVOt9/\ndQ5VVeikXi/PitGYv7rT4TuXp1EVQeS7XvgQ0aIqEsWcgabIY+LgQTJuVDChyKIIRVGe+ZB+6yBJ\n0Op77NT6Y6KlUjDFvK7IrO206Q2DcYFOztZYXqoQRzG79T6Njktv6LNd69Pqe0wXzYeSs79L+KY9\nsk7w4hGTICEz8Iest7eZy09jazb1YRMncNIujiOdJwhfyJyepWqXUWSZlfoqS8V5cnqGKB1JRwnp\nGMiVAq5+/IUYq5Knk96OEyASsaIsS1zd/oIrb1w6tk0CLC1J/G/Xrj6SSDmKJ4UCP9+4yh9fOc/G\n+v0dLM5aOEEXWZL5eP+L+0TL0fXHEzDa/vuL38EJXMpWRBTdXze7gVhPfh0c7SAaIZFiWl2XO5tt\nouh4cn3UeSK6JO93nrh+NL52o+t+Z7NNq+dSyCiQ3F8H6ZqCH8b0neAY0fIkjIiWkSKB60cMPdGp\nryiP77Z8nrHc0Q6Rr4tHrTmO5oe+CoE2U81wZib30LshpxJtR5EkCYok/FGzVg5Fk8fL0CiIGY3P\nD3oGypL00PrpBCc4wQleJE7Ilm8GP0p/9oH3n7Dd3yDIlh8sLy/LvwlSYgCKJPHGxUlurLc4bDvM\nT2bRVfmxLZ1DL8T1Qy4slnj78jSGpnD1xgGOJ5KVvbDD5mEL01BFMjLoUu/3SBQvTZVGBGGYas6K\nxTckTGUrNAYt3lp4nWv7N7jTWBcSX7JCzsjw3YU3cUKPtdYWe/0DFgtzY8PAklUgb+RYb28JgiOt\nW3lz5hWi1IfFi3zCOKQ+aJLRbYIwoGDkhH9I4AoNXx5dSy4qpCxajowb+ez2DpjOThInMZN2leXq\nGXa7+zScNpZqYqg6FatIRrf55dYn5I0cZaskSB1ZoWjmORw0cUOXQTDAiX2KuSwZW8HWdYa+SG7I\nMhBBtWixVeuJCtzZAp2Bhx97xNoQ20xfe0mi0/ewDJVizuDudnt8PsWcgeeLrorDlpA1Or9Q4sZa\nA/kIERFGyVi39adXD5ibyLB86gqZ+ZDd/i71Xo8oiigXbCazCi9Pn6Zsl/i3f1/jP/rDRXbkDvv9\nLhdnzmEbBhvtLbwwwI4tTFUna2Q5VZijHwz5YOtT/uLW32JpJhcqZ/ju4pucKs7TcFr4YUDDafE3\nq+8hI3OqOIepmin5JaNIKo7vcyq/gBYV+Xxzh3cW50Qi/IF7qCoSYXi8ikaRhUcR6bUBiXbfo5w3\n8YKIaiotFSfgB/E4kFdSmYCRee/RwLzRcbDNSWxDZeCEIln12hz1jsu9XVF9FCdCY9ZIk/qqIsiJ\nMdIDj+KEM4s2v9q7Lt5RWRoTKVlbp952iOMEP01a5rNCOzmTdl0EYYQsSez393n5zGv0+7C63aHd\ncylkDWrpM1DMGYRR/JCRe5ImIY5CSbtK7u10WJrJc3OtmepRC8kEP4hY3RILpetrTXK2hqmL1vB8\nRidBECc5W8eIBJnV7vvpPRoF4BK6LnyFDtuiAycMhVSZqsgEgVhYmLrykMwZQKsnCJuMpXLYdrFM\nFeuI94y4B6IzSlEEWTM6n7tbbXTt/gKg0/eoFkyurzU4PVtAkiUMTXyvoSk4XoiqyGn1uriHkizh\neiH5jM7mQY+spTNVsR9Lthz1PDiKk2qtf3h4UVWfzwOPq2AcJSZH3k5i7BQj7INJIFHBKHFrrTkm\nEOcms8RxwmFryNCLUBUp7VwUHx64Ic2uh2UoVIsWlYLE1kGPJIFbGy1++O0yYRQwDIbESUzByBEn\nCW7oEsbHyQQSCGLwQiEhZqomtiQx8IcMgyFRFCAnEvWWy8pGi2+/PEUcJ9zcaNLouA8Zx9daQ9Z2\nhQTW8qkSsizx4fUDZqsZZEWiWjT56ObB+BgGTsjA6Y1Jg3xGP0YabOx3H/KqGVVtmrJB3sjyFyt/\nQ0a3eX/rIwpmjitTlzBUnbuNdSGhmkSokkLOyHKusoQbetw8vEPH7ZE3c7y7/kv+4yt/hCqrRI/Q\ncL9b32K+OMFbr5zmz//tkzuZWj2flc02c9UM19eaT9z2cYhTEvqw7bC22+GVM9XxvDUiWjKWSiVv\noaoy7Z5L1xWxz4NkXCMl44Iwxk/1+DVVvd/q+ILwzSfnJe5stWn3PGRZ4uUzFYZuyKd3Dmn1vIe2\nPmw73NvtUsoZXFgsMTuR5fq9Bu2ex52tNtPFGX4XOyZlWcINYpppp63jhkRxjCILGcUzcwVRPf1A\nFfYJfvugJjKKJLPR3kZXNLY7exiqzlS2iiorNIdCKWFMhqfFXWEccTho4IU+hqqz0d5mNjeNmghW\nd5SQ1lU4aB9Q6zefmmg5ijgdSGr9JvvDA6btaUiHMdOArW6DzfbuU40vj9tmo7VLJ2yQz06Of1cq\n6qx3Bqy1th4mWp4Sq80N5nMzlMw8kX3/wy9S0kpVVD6/W6fv3PeV1VQJy9DEe+2FY9nokQRoIWsQ\nxwmOFxCEIp7uOwGf36lzbq5IciS3IaeXYfiUxIWckmDhA/d96Iq8xqio7nF4XrHcgx0iXwePW3OM\n8kOfrNRSoujpMFPN8PryowmlJ0nXJqm8gqbc79YMn0CAWaaKpsgPkTAnOMEJTvCicEK2fDO4kv68\ns7Ky8qTZ+lb60waWgZsv9KieAbos8Z3L06xut1nb7RKF8bGWzjCMiRJw3IBq0eKN5UmmqzYbux0M\nTcW2NOg4TFct1ltrRHGC54cUCyq3DlromswgFIapQZxOsGlbtCbLfO/UmxTMHPVhk53OPlOZCRRJ\n4ebhXWqDutCObWxQtoV27OnSQvpZhcXCHKqscDhsMGGXaXtdvNDn95d+j8uTF/jpxq/Y6uzhhC45\nPcsgcMZ+MG2viyZrmKqBIsv0vQFxEh25LhoAXuhT69exNJN+MKTvh8RxzMAfstuvkTUyLJUWOFc+\nzWpznYvVc9iaLcgCSWEYDOn5AwxFJ4pD3NBjwi7TdLo0hx1USafrd/Docqpa5eburggeEolKwRSy\nY04ATkAlb1ItmPSGAWutLZZm5gGJtd0OXhCTMUWSwvWjcRytKTKTJYu1XdE1Y6dJ6AeT7CA6KAxd\nYeiG7DWGbB8OqOQNFqbnmNZAMyWsRMUJE979RZe3Xs6QtTX+77/e5vzSAlempknkPiUjR93IMF8Q\n8idJHCPLCr/YusogcMZFVMPA4dP963x+cJPvzL9BlERjDWFFuk9MFYwcB4MGYdTn8uIyc9k51reH\n/GLtDkvVKVodkeQ+eEAOR5KOL4aUNDAbdWRcWipza6MpCIa04kxT5WOBd5KILgQRXD86qEsSWN/r\nsDid58Zak8O2gyyLTqTNg64gVlJyRFcF2SJkw44n4EAkNDOFgMadPoamkCCqertDn3xGJ0zJipGp\noJMSAPmMTiFjMHAFsdbzHaZnJK5/EdId+DheSKVgCQIqStIglYd8FKIofoRBu0iydgc+85NZkERV\nUSwlRLEg6roDj6lKBl1TODWT595eJ+2ciceEka7JDN0ALzi+SJAkWJjKC5PK2mB8MRLAD0Si9uj1\neZz3Q73tUC3aDN0ed7cEkXLjSLJQliSikcQRjM9nZJg6Qjlvcm+3g4TQfC7nTVqyNK58ByFNUEi9\nZgAMTSWIYlo9QdSsbDT57pUZ7m49rIc9OudHFWWdVGv9w8OLqvp8HniwglGSJMI4wXGFX1UYxuPE\nlKrKlHKmkGJMJR1GFYx+mNAeeMgSLE7nafXccXclCBLZ0JSHFs+OF7F1IKQAl2byrO916fQ9Eikh\niEPCJCarZ/AjHyeVCXscEhCf8QdYqklWzzAMXfw4JJYSrq83eOe1WdZ3e6xstsafk6TjBHOCGNMO\nmg4HTYeLp0q889os19ca/HvvnMbQVbxHEBq6pjBZsrBsCU2VCMIEZyj8osLoeHgo5hoFBYmeP6Dp\ndKgPm8zlZwiikL9b+zmarHKxeo5KpoQmqQRJyMAb8rer7xHEIRWrREa32WxvI0sKfX+ALquPvULX\n9u7yz5bPYZvqlyaX1nbb/NEPz3L1Vu2J2z0OsiSNZT33GkPCKGS2mhEa+cDClCDPDtvDR0q1HCXj\nRr5cWwc9PD9idiJLGIZo0ovxbPlNSc6HsajqDuOYVy9Msrrd4t7Ol48jrZ7Hr67vc3auwKsXJvns\ndm28nxfl//Sbit8kj6wTvHiokkKcxDihxzBd98VJzFpraywTZukWCjIRMUEYcK+5SZTE2JqJpmh0\nvF6q4hCjSve7yOMEVDXmi4PbYznMr4I4TpAUiS8ObvP69Cvgi+9QVImrO9eey3X4cOca/+zsP73/\nCykkSiI+r6WpiK84bH1eu8WV6UsESYCGNtr5C5O08vyIzYPeuFghn9FJkmQsI3wUERBEEa4v1gyW\noWIZEt2BTxglbB708PzwmIyXF8bMT2YfqYrwKByVpT6KMEpYnM7jB19OgDyPWO5RHSJffV+PX3Po\nssS3Lk5yb6/32DF0hKcbQ5+fdO3ZuQK/41JMvQAAIABJREFUi8UDJzjBCb45nJAt3wzm05/bT9zq\n+N/nec5kS6lkH0sWPitkWeL15SkxCbYcVrc7uF7IfJwjCmP8KGZ+IodpKDQ6Lne30sBKijm/UGKv\nPsC2FVpRwFQlg6WrDHyHendAPqOlyZpkLLmTJDCTneAfL3+fjtfl2v5Net6AgilkjyzN5nunvkWc\nxNw6XGWnt48TuOz3D3l7/jVmc9O8t/Ehu719nNAlq2Uo20VOl+Y5W1piu7vPTm+f3e4+cRIjI2Mo\nGsPAZRi45IwMtUGdMA7p+QGmalAw8zQckYAxFJ0wjohGGvGRT17NIiMMCjtel6KZJ29kaTltVpub\nvDR5gR+cfpuCnuNf3vzXqVSaqD4JogBDNVIz9IickaXpdPGiAEMzqQ1azBf6zJTmubm7K+5pwSJv\na6ztisW1hKi4PTdfZOdwgCG7TOUVfE+m0emP72N34KOpcppYjlEUCdNQ2U+Dm6WZPGu7nbFR/FFE\ncSy8U0grUyXwgojr91rjatS8rZGxNFw/YnW7w/KpEh9c3+cvf9amnDf5pz+eIVvWOOgecq+1hROI\nLoWckcGPgkd2EEVJzC+2rjKZqXKxeo6MZrHd28MNfPzIp2QWyRlZXp68wEvVZf728xt8cm+LKIo5\nU17gZ+/XeGN5ijsPJLYljmu8WoZKGInuBtsQ7efC3FB0NhUy+jgwHyFOEiSZcfXZoxBGIqFWLVri\nPkgSd7fbTFds7m63U9mrmCCKyVgaDI7Lmx29JucX8txt3CObXuNR90ucVvyqivxQRVMYxfSGPlLa\n4SKl2+8NdpmsLvLZXZEw7fQ9ijmDetsddwI9KBHj+hHFnIF7pFosTg80jOLxsyUWm2n3UBSJ6vC0\nhT9razT2HCoFi51D4fHi+hH0feQHovooTsjZGpah0h/69J3g2PMxkkgZ39Mn+OcMU21/XZXp9D3m\nJrPHtjF0hSCIGPVAjc7n6HNimyqqItMd+CQkBGE8JuKElI84fs+PsHLqmDCp5A3W9roUMjogjbWH\ns7Z+nxwabSyBaWhYlvaQxnOxYFEu2cfO+QS/WXjW+fbeTocYCcvSv/J3xsAwiJieKHzlfTwJ77yu\n8f4Xe9y416TT9x5IKEjjTr+D5hBNFdWjL50p83uXZ8hnDPYafVRZYm4yS6vnHSNaYCSZmIxlFB/E\naPuFqdzYl8pQdTKahRf6DEP34Q89BgkJw1CQoBnNwlB1kOD0bOEhomV8bE/Y38jn7PRsAS+MqBZE\non2E6YrNhdMZrHzARmuTfc8hcCM0RSFXtPj+6QWcrsbttcFYwktVJApZHZ+QtdYWuqLhhjHb3T0y\nmkXVLqPJKneb62kldowsyRiKTtUuE8QhLaedFi9I6IrGvdYmL09eeGyXbnPQpRPWuXiqyMcrT9Zi\n7w18TFP9yiShoStjidJu3yOIRJdPOW+Sy+jHPOWeBMeLxr5cS7N5egM/LX6AqYnMUx9PGMX4YUQU\nic5GXVUeOcYO3IA7m2029rvHCSlJJkyg54R8dreBbaqcms5zfrFIxtQe2s/zQKfv0Rn4XDk3wdpO\nh4293iMKIR6P9b0usixx5dwE9baLbmoUMsYLOdZHYTTXy7JEufz09+p5oTvw+ORmLU3sPXn8jYF7\nu10Gbsi3Lk2S/zVepxM8Gc8y3zYGXkoqyoRJRM/vo8kqtmahSDJNp02YRGP5SVVSxj6hI/lJQHw+\njkgksCwd29LI5w1aTpOO03vIP+VZkcQJHaeHF3nMlcWcvtM5oOm0nkvXXNNp4UYOmpp2WkgStUF9\nLL391ffbpjaoc668NH6nh15A8jXjmxESJAxbwzbEmLq5372vRJDVcf3oqeS+wiihNwwwdYViVqfd\nFzKmfhQzXc2Pt9uu9Ri6IZWCSaPz5THG0XXbUVQKJgMnYKJoful1eB6xXBjFFAsWT2F79qV4mjXH\nRCXLS6crHHbu54dGRTimoXJ2vsBEwSKX+fJnQNU17mx3HlvwMXrVpfTdexRsU2V+Kv9U33eCbxbf\ndBxwghM8T5yQLd8McunPL6Ppj/4999itviJU9fkIWBeyJoWsyemZPF4QE8Uxmwc9tms96h1nnIAZ\nDZ5RnGDoCqWcycJ0lv09iYPDAfNTWQ7bjbQaKEGVJfwkFBWkyLy1+CoT2TLvrr/PWkvoiSuyAhLU\nBnWqVol7rU0s1eRi9SznykvIkswwHPLexocokoKuaBz069iaSTvqst3d5Z+c/zEf7lwjiAJOFefx\n44AgCtAVXVTsJiGbnR2+u/Amq82NcZWsG3ooktB8dwL3GNECjBMdMTEk4EUBZdPmfOU0H25/hiRJ\n3Dy8A0nCW/OvMZGp0HTa4wSuF/lU7RKHgwaWZqLKCjIycRKI/UYJ9WGL5dmXhRl60UJTZTb3e+NE\nd4JIPIwkSAauj1lQ0GV1nJA3DeGnMaquMTSRGDc0hSgUFf2WodLo9B8iIoBjyWTR7fFwcBmNCbOE\n/tDHMlT89LnYbwz5i7/b44/+SRUJlZwuJlYv9HACF1M16PnhsWA/4X5wVRvUaQ7bFIwsL01eIDQi\nTNVgJjfFzYM1ugOPf1O7iufqVIsWkS/Tayt0+j5e8HDAnKQeH0kikltCLkYEiOWCheMLaRJhupiQ\nsTR6D+jZJ1+WiUuPP0glwkAkmto9l/kJQR4qikTi3ze4HLWaSw9kxSxDQdFg6LtomiI6mlKMSQoJ\n4gdIstFuXE/o2ReyBqauMPBdZi0hd9XpR0hZKZVBEWRMAg8lb0R7eoKqyvhBLK5fmndVFVHVJX6X\njM9h5IUzltSSxHPj+RFD9/57FEX3r9GRm8TiVI613Q5TJWucoBvBCyJKORMQiblRwvbB5dbovRh1\nnATR/S6UEUo5k+1ab/zej85HUe4b2S/N5Fnb6479dEbt7Iwk5BDPw2ihAeJ+x4lY4GmakkowSqzu\ntpmuZNjc7z1wv4Rh+KMWN+cWihj6yXT+m4xnmW/DMGItTXp+Xaztdjk9k39u8/1RyLLMRNFmcTpk\ndbtNd/Bo+TsA29RYnM4zWcogyzKKIqPIMvmsQXvg0+w+OmkRRvF4XHkUml2PrKVRzJlEccxcbpov\nDlbGxMmzYhg6WJrJfH5GFD2E0UNEy9Pi1kaLybJFEoOpqVSKNjuHA966UiWxWqwcXqOx13/ocwd0\nuFvbp5LNcv7SIuedST64Vh/Pm14c0By2yGg2QRQQJTGDwGEQOGND57yRPWbovNXdJYzFCCilngMZ\nzaY5bBHF0ROnqzv1dRbm3uTjlS85YVns+2nlVR5EKWeysS+IGkUWXizbtT4/fGOev/9o66mIlqMY\nbf+jNxfYrvXHkjFfhk7fE/JaOx0cLySORfxiGaJDZaJoUcga420/uLE/llt90jvr+uJZavU9vn1p\naryP5wuJQk5n4IZp0c2zjyH3drpMFG0KOQ2SJ3sKvCiMZFh/negPfa7eqlFvO8809h62HT5aOeTt\nl6fJ2ieJvN8EPMt858UBM7kJNEUjCmNRMBOHBL5Y85iqgSHrY4+POInpePdjQhDjnqZozOaEH6cs\nS9iWhqWrNIdJ6gH2KGfDp4Poaheda0kSj9/JKA5FQZosfSmZ82Q/Fwk/DFK/zHQ9R8LtxtpXONqH\ncaexxtsLb4yPe7REeh4xTpLub7RvITkukc88PdFyFKPt8xk97SY/PgaqssR+Y8DFUyV+fm3vift6\nUJb6KJZPldit9zgzV3iq6/B1YzlFkTm3UHxsrPUseNo1RzFvUswfzw8psoyhyc90HsW8yenZPDfX\nnxyLjeTmH4XTs3mKefOpv/ME3zy+iTjgBCd43jjJznwzsNKfj89MCBxdWdrP+yDCMPranS3j4DNO\nxtqjvUHE7Y3WsQX3yEBWTnVwNEXix9+e585OncOOgxdEqCo4w0AkJWMRLHuR8Nx459S3aLhNNne3\n2eneD25yeoaBLxLdfX84Pp4vDm7xB+e+z0H/kF9sXiUBsprNVHaCql0SlUpxyOszl+n7Az7e+5yJ\nTIWSladilui6PVRZSckFcAIXJ/AoW0WaTnvswzEMXApmDk1R8YPjyZ1RomOEKI7Im1m6bo+6I2SK\nikaew2GD9fYWs7lJVuqrAPevKwlu5GPrNk7oYqo6fhQJQkCWiOKYck5nYbJArdUXiYHk6AJAkB/N\nriuqOSKF7iBAIUllQRSqRZO13e64JXjUuSKTTnIJY5+Jo0TE+Dukh03oRAXYkWNI5UEEQSGSzroq\nj1cd+40hnY6MkphEkYSlmuiKRtftocgKpmLght79HY6S2pKozlUkGVVR2Wrvs909YMIu0/c83NDH\nTSI2WvvMGEvIksRrS+f45OqQKI65u9Xm4lKJn3+2d+TYU/IoEdfI9UI0VaZSsJAliYEj/t3qRfhB\nzEzFeCgxProcj6vIHp3GUSmaUs6k1XWJk4RcRqc39JFlESD3hz6mrqRmjvGxzpJKwSJOIlw/II4S\nLEPFSf1JLF0Vmvd+9FAwf58QEB0XtqGiqSLp//+z914/kuX5ld/nehPeZWSkz6w0Zbvajm/OkDO7\nICVQxD4sRAmSIPOifZQAGegPkN70IoCABDlApKQHSsSSuyRnyCXHT/fMtLdZJisrvQtvrr9XD7+I\nyCzbVdU107NiHqCqsjIzbty4Efdnvud7zlEsyKWFxVo4UtYgAhZNSRAF/fsKaq4XYhsqfuDf0/Wd\nTek4ngh4jofflRDh1ClLZzA81zCMmShY3LhPaSSItQfHKdtUOW71KGWNBwgShtd29LmN4gRFkQmi\n+zZdQ7bF8yPMjIIc3bsxsgxl/PgRRq/H1FVaQ1u9kcImSRjnxYRRTDzcWCSCb0WRhcJIkiRhM9Z1\nxX3AqUVYpxdQylqn99Rws6cqErahPmBDYZsq5axJ9JyyCL6Iwto/BDzNfOv4IQMneC52QwMnwPFD\n7Odsc9N3At786ICjxoC0rfHa5SpBGLOxK2wjRuqylKWxNJ1DU2V6TsCnmw2aHZcvX51E12QmSyk+\nuPVoxUQUi4ymkZXhw9DouLxyqTocT2UszURxlXuaH54UiqRgaSYSYtP+8TPmj4zw8Z0G//Z3ZLZb\nXV5eq1Aqytwd3OLmnb3PfGy916Pe+5jVySl++8vLfHyrR6PtkiQR/cDBUDUszWQQuEBClMSEcTRW\n2z789cmAhKWZGKpQ7kbJ48eOtttnJf/ZrzWfMp55TTkaa8NIEOO5tIEiiTEvbWuUctZTky0g5se0\nrdEb+GPl7qPwSIXKEN2+sI8aKVTmahneWT9+anuTg5M+P//ogC9fnXzuChdJgmoxzd/94i73l3Ut\nQ2W6ksLUVRRFJopiXD9k97g/XjOMcGOrwe+8Nv+Z1+x54/59xa8T63ebHNafzarm4KTP+t0mL65W\nnvqx53Pu88fTzLdxEuKFARW7yEHveKhUEVRKQoLzGIWkNPxbk1UqdhEv9ImSiDhOWJzKimKhrGFr\n5njv9LSEy1jcLIGlGSiSNr4nNVlFkzUUWXogE+SB40jD533IrymKIIuIT/Msojhi4PdPT+Jz3I59\nX+y5Ruc9Wu8+j3t8tJcaHVtXJco5i/2T/lMTLSO4fjTe9+nqvWOgrAi3CkWWWZnNP+COcM+5SQ9/\njSuzeRRZxvUiZJ7sOjyPtVw5a2IObb+fFc+y5zjNpjklWJ52Xrkwk+e45T50vh016yXJw7PRqkWb\nCzP5X+tcdo5nx69yHXA+357j141zsuWLwWim+KwWqLMU/Oc3q7wPzebnO2SxmEJRRMG22RwQRKKU\n2hn4yEAYhJiGSi4tQrVvbDXpDXzCKObyYon9eh/TkKlksvR9ZzioionQ9SOKtkHf6fPl2evsdPbw\nY5/6oHm68kyEsmW0EI6TmCRJcEOPr86+wrv7H9FyO8znZ9jvHhHGIR2vi65oBFHITK5G0crz9v6H\nmKpBGIXUBy10VSOjp8fHVWWZIIY7jbuslpZ4c+ft8TVIEM9nKgZwL9liKDrBGc91RZJZLMwJVQsS\nsiSTMUT2w3uHn/DNha+M17OKJKPKCn7oD7vyZdzQR5YVTFUnIUZVJDJ6ir3eMTomnt++pyg8LubL\nEq4foqsKhmrhtBJAFItlWUKWhEGSpsrjRUqj4yLPy6RTOnLTGedOnCUixq9LlseEwuitEfZVMgHR\nONMkiGJcPyJlC6urUXbF6DW/93GbydUMRaNE3T1BIhlfH1PVkWUZJ3DFtZPFxiBJRIEpZ6QxFZvN\npsiuMVWLtJKmWqzwrz55B0MWigCDNPO5OW6l9kkS2K/3WZzO37NgHuUE6MNX5IcxhazBVCXFW58c\nkba1cdaLbWqoqvxAsT+MkqFyIUJ6jMglZWm4XkQhow/JLIn9kz6LUzm2DjooioxliKL+wIso5UwK\nukqj4xJGCaWcMfTOVQhDYYGRyxhICHVHMWtyZ7/9UBm7qsi4vvh8lgsWhq7gBxG+H+FIERfni9zY\nahGEESlTcL2trkchY5LPmA8UvoIwJmWJBfUoGwZgaTrHT97fHdMsDJUelqkyO5HmB+8It8Rc2iSI\nYvrOvZsA0dF3nypnuNEJwhjHC8nY9xasDE2h7wSkLY1m1xt/3u7feMVDdc1IcZJOa2PyBxgW+Jzh\ntYrGr+eND/dIktNrqqmiqLxz1EMbfh6EqiwkmzLGwY6GphCGwhZHQqLd84YKnNPPjOP6QEIwDOTU\nVKHey6UN4ijGCe99DUtTWaIgpNH4fEGjI1Qqz11EeQ6ebr71o4T+wMN5yIbYNlWmKxkUVRqPnVGY\nsHvcfegGWiah0/Fwlc/q7XhyyLLE+naLu7tizHQcn2PEfTBdFuuCkYtiFCUcnvTusRjb3PVJmSqX\nFwrMT2YIovixZIoXxMONevzA70iSIIEXallkScYJPWaykxz36xDzVISLIimossJMdhJnqFw9aX2+\nLtCTlosfRrz9yRG/9/o07xy/zZ3jfTHuDCdOXVMwdGVs0xgngnz2/JAE2DjaR59SePniKm98cIwi\nq9iayV73gLyZJUEUsxRJETaPSfxA17UiiTEpTmJSukXWSNNyO5Tt4pCAeTRiHq98Ec8Bl5dKKAoo\n8tPn0JdyFvWOWENpmszFhQJRAleWyvzxX3/CtWVRxH5cYet+rMzmmZvM8lc/3eTf/71LRECj8fDQ\nXj9OePvTIw7qnx3q6zg+vh+yfdjhoD7gWRovR/fA5w09vh/x0O705Ixad6JgMV/LYWgyG7ttdo8H\nYzI0m9J4cbWCF8Tc3W9zNFTonLRdbEPF8zwC7/mNHZ+Fs/uKR71Xvwr4UcL6Zh3ncwR2r2/WmSxY\nT52rcD7nPn88zXyr6Cott81sbpqm2yYJIYiDoXUsPCzz6+zPNFnFUPXx4xVZQSbB1hQajT6aajCV\nrfLhwQYMVc5Pyl1IZ7+QJKayVTTJGN8bppGiZBe43dhCVmTiswPvfU8i9m8PPq+sCFvcopUnCpTx\n2pMYVHlYphjJwEdfPyU0RVgVj85bkkTLouN8/rElY6l4gwB3qKyVFYkXlsv8/OODz3Vcxwu5vlJG\nVqR7xiJVhtXZAn/y3U/5+gvTwKPnpYe5QYzmpR++s80//Z1Vek7wRNfheazlZFlismjz0e3HW4I+\nDs97z/E0uLJQwPcC9k/unRssSx+Tmfdfy1o5xeWFAt7Axxv8+uayczw7fpXrgPP59hy/bpzTe18M\nRm3wn2VEeDY84PMl5f6K0O55bOy2+cmH+/zgnV2+//YOf/WzTbaPuqwuFLFMjfduHvP9t3fYOujQ\n6Lhoqsxxy+HtT4/4aKPJVKomCv6SNA5vC4IIGZWZbJU4idnq7KHKCm7o3rPQE1kM8ZmvEybTFaIk\n4kZ9g6P+yVARkdALBkNbKpOcmcFQdBISGk4LWZKRJIntzj61zARxIvx7B4GLrhioksLRoI4sySwV\n5+9ZfAdRIM5dulcSmzeztL3Tt+1iZRlVVjnoHyNLErXMBKZqsNvZp+12BUmgmciSjKkapPUUbbeL\npqiokkLb7UACWT3DSbdDEMTMZKe5ebhNtZhClOrPhGgPVRWmruL7EaoqsVCYY3O/y+Z+h8WpHIWM\nSavnIcsSXhCP7Z4cL2Rrv8PKjGhnFUVjXVge3UcsWIY6zpeQhs/pBTGWoY63I4WMSavrkSSQNjQO\n631WZvPDLBSBjd0uZlim05SppWoUrSJBFNN1B3hhQFZPU7QKWKqJLCn4UYAqq9TSVXTZ4O6IaNFM\nvjL7IlGo8JNb72PqMinLoJzKMW0s8b2f7TEzkeZrL0xRzJm8+eE+c5NZVmbFa00SURS3TJUgjJit\npkmZGsdNB9NQxteumDXI2BqeH5HLPGgHMuqwkeVHG3lcmM7xyd0GtXKaOI7JpnRaPQ/PF9d7ZB02\nWqt3+h5JkpBL6SzWskyV03QGHkksYesmiiKLXBBTpZy3iJPT/JCziid1+H9DV5mrZihlLT7dbKCq\nCrpi4HoQxzGlnIksi063YtYgjBIRViyJTuSzkGVJePbrCqahIknCk3jghjhuNP4sgCBKihlDbDK8\niJXZPKoqk7G0B0IXFUV+ICNGksAfEoC7x30Wp07brhVZKG86fR95eJ6nipOHvRPCIiaKElZm8mMb\nm2JWEFl9NxyrtEavJ0nA8U43GqNCaRCOClg6nZ4/HpNGBeJC1kAZFri2D7vomsgAqBZtesNNgCzL\nD+QipSyNUs58YNM2Chr/dXcAn+NXi4cFmdbKKa4ul6mW07x144jvvrHFn//oDt99Y4u3bhxRLae5\nulymVk7dd6xHB5k+K9wgfmguRxDGHDcHHJz02Tvpc3DS57g5eGg47OZeG8eP8MOYiaH398Pvz+Fz\n+hGKLKFr8j3+3LIkUSul6PQ9FBQMRUOWFGZyNRRJRpe1cWHsUZCQ0GWhkJzJ1ZAl0dQg83ys17YP\nu5TyJrebdwnkPpqmIEmQSQlry7StEUYxAzek5wS4fogsSxSyJtmUjmVq7LSPqIf7fOvlWXRJo5at\n4oQe9UGLjJ6iaOXHmQMjcmX0R0IiTCIUSaZo5cnoKeqDFk7oMZWtEsUR6khh95Dzt1UT9zNc2cp5\nk4WpHK2OR6VgPZV51XisdUJUWaJasJkqp8d5fT0n4PtvbTNZSvG1F2qUco+3AinlTL72Qo3JUorv\nv7VNzwlEZtgjxskweXKiZYRc2uD9Wycc1PvP3PC9udfGfYJw5KeBIitsHfQwdZEv96XLk9TKaT64\ndcL33tzi1k6bo+aARsflqDng1k6b7725xQe3TqiV03zp8iSKLJomtg6Esvg3EaNO5jBO8KOEcKiu\nf5amb0mCRtd9bJDzk6DvBDS77jOdwzm+OGiShqWbQMJUpoqhaFiqOXYwgCHXwVm+IUFCqPANRWMq\nUwUSbN1Ek0To9yijK4rgysQqpiqsyJBOuYuzxxzh7PeT4TckScJUda5OrHJWoO27Ma/NXCeMIlTp\nPsu/hwxM9zddyYqMIkkEYcSXZl/ih788Oj0PSSFj2KiScnoyZ0/8CaFKCmndRpPO9veK0PPngftD\nzyWgVkmRf8i+7GmQzxhMllMPvFRZkshnDKbLKf7+rW1qj5mXRm4Q8OC8NJG3sUwFz38ylcnzWMvF\nccJSLcNk6dlyML7oPYcuS7x6cYIrF8pjx4VHIWVpXLlQ5tWLE+jPexF8jnOc4xxPiHNlyxeDu8BX\nEaH3j8PCma83fmVn8wyIkoR3bxyzddilf6YrI06g3na5uFjib35+l73jPsWsSS5t0Ol5JMBUOc27\nN49RZAnXCwndLKZq4noxlq7Tkh2SKEGRZFbLC7y99yFZPU3TebC4M1J9AIRxhCorLBbmWD+5NV4b\n1gdNSnaBfuDghC5u6DGVqaLKKpst0VVvayZ+FOCFPm7gYaoGfiQzCBxKRoG+3ydKYt7ceZvXF74M\nwEbjLhKimDrKFnECl5gYUzUI4nDskX6hOM8rUy/wJ+//v5iqwUy2RkqzeP/wExKECuZm/Q5zuWm2\nW7toikoYRwRxeHqsKEJRRYBsEEeU7ByO59NyBizkdOJIWIuRiGJdlCRoyrBwK0E5nWbQUcfdz2lL\no5gxub3bolZK0eh4oiNZliCS2DvpsbZQIJ8x2D7s8NVr09zcbo0twkaZJnF8KvMUoe4iyySOE3RN\nHmdcjArOUxMpbu+0yKaMe/JSHC+k31Fpt8EPImarReayGm7o0HTbeGEASOTMLIaqY2s2QRTSGLTp\n+y55M0vezGJrKU46fb5/4x10XaGQslitzLCcXuT/fnODtK3z9voRlqFyZaGEbWnc3m2zMldgoZZl\n+7CDF8RkbZ1G16U3CGj3PCxTpZSzcLyQWslmppLh080GVy+UqBZsjpvOPZ3lYRijKTJ+GAvCJbnX\nUqyYM3H8EEtX6TsBiiLz1Ws1vv/WNp2ex+pcgfW7zWEHqriuSSIyDGrlNJ4f0Wi71Iop7ux0uXhp\njs2TQ1wvxPFClqZyyJLE8kyeds9jMPSeV2SJjK2TsXXcQPxuzwkI44SBGzA/NcPWHZ+TlsPafIGj\nxoCbOy2mK4L7rXccauUUpZzFztFp3oCEUAW1ej65tI6hGVxZKnF7pyVsBhVpaOuQoGsKK/MFNnbb\n/NZL04RRwvfeuMvrL05RLdrsn7HyGCl7zj6PJEljArDednC8gHLO5KTtYhoqQRgTJ9Dq+RQyxpgc\nsQyV7uDegkoci+dI2xpeEOG4IcWsQS5tsLnXQVPlcb7R2nyBnaMuIBGcSZmcLNps7LZRFVEMThJo\n972xDR0I+7G0rREnCRu7HUxDwdRVgigml9JxPWEjlynZeGeUQSlLY6qSQlMVwjPfr5VTvLQ2gXJe\n2fn/HTRFxjLVsZXg1eUKdw+6/OiHt8dh6WexfdTl/VsnTJZsXrlY5YXVCh/eOhafbVNFU+QHiLpn\nxfMsTB41HTo9j0uLRQ4bA1RkFDkZ37/3wwtiQaZqopA8ynO5vFhi96hPnOQJ45Ab9Q2uVtcAuNPY\nQpPVYWE2usfaUx4qSJMkIYxDFot7Fnr1AAAgAElEQVRzzOam+PBwnZns5D0E9edBu+sxOaHx49s3\nsW1BcPecgIEb0Op6D2ROAcPsKgnb1EiZKo4fceIe8Z2r11BRWMzPYSg6TuhSHzSxNYuiXYAkoef3\nx69VkmQ0WSGtp0ACN/Coez38OMBSTRbz87hRQMbWaHa8exqYQayhatkJ7t46JSLu78qWgJfWJihm\nDO4etLm8WKLe2r2nmeJRODvWqrKEoStcWy5TzhkYqsLN7SbVos3mXocfvbvLZMnm8mIJ21TZ2G3T\n6ftnVBo6S9M5+m7Are0WB/UBEsJC5OZ2k7W5vCifnjkpWZa4s91+KqJlNCe0h/NSs6tSyj5Ihn8W\nRsX5yYL1XAKuAcIoIiGmnLeYn8xyZ6/NrZ02cEpOIp15DxNh69rouPzsg32WZ/N85Wpt2HQQi3Xn\nb9AcI8sSbhDT6LoiU8cNxzkAlikydYoZE1OTn6IgKLGx2374T4adS9Ewr05ilFn3cLua27ttJgs2\nn8tz6Ry/VozG0//j3T/l1ZnrJCTcbe1iaaJ47kc+cZIM9z7S0L5YKD7COGQ2V6OWrfLLnff4D178\np6go9xSkVWSySoG1yjzv7t0YWlQmY7vdh3EXo+/Lw89fkiSsVebJKAVUZEafrySRKZtlFgrTbLb2\n0GQZSRX7vseNR5IsociSIOKjiIXiFAW9xMbunTE54DkwlZkkpd+i7XWfJf4JgJRuM5WZRJU0gqGV\ntCxBOWeRzxi0uk9vDzk+tqVRyJj33Iu6rNAfBLxyscp337j7zMd+5WKV/iBAl5XxXh5E9uRk0ebq\ncpmDhsMPh/PSleG8dPvMvGTqChlbZ76WvWde0lSZy0slMrbO9kMaVx6G57WWUySJly9O8M760QMK\nkcfhN2XPoUgSazM55qsZml2X27ttEqTxPZOxVC5Mi2bSp5sHznGOc5zj+eOcbPli8B7wh8Dq2tqa\nvr6+/ihd4wvDf1vr6+u/MWTLyG6hPQgeyIFIgLX5Ird3mmzsigXE3kmffNqgnDfxvBBFkXE8YY/R\n6fu890mb1SszvLOzzspSgaNOh3zKxPclTNWk7XWppIo4njN+Dmk4q0ZxhCqrBFFIlESkFRtLM6g7\nQtIrIeGGHrqiocoKXiT8dG3NIiam2++jySpJIgLvLc1ko7nFYnGO9ZPbZIw0YRyiKzph6BAlMT/a\nfJMvz7xM2S6y0djieFAXXaMoxMTIyEykyrTcNmWryHJpgaKVY7O1TcUuoQ0zRu40t8fbsbyZ5aB3\nRDVdwdIsNFkTOSdJTNbIsNXexVANbM1iqyHkvyulRTbqB2jqaadvMsxFkSWRuWKZKo4XkLZ1Fooz\nvHlDfNRWZvMgQSat4fghMQkZWxvaMkXIQ3XLwUmf68tlfvDODo4nwuRbXaFO8ofqlcGww//sRyFB\nWLvYpkba1mh2BaFSypl0+gGGrrJ/0mNtvsBP399HAnRVZv12j5WLc7yzI5J4M1mJw36frJUhbenC\nmskN6TsRvdjF0BWyep6sFjMIXA46TV6ammL9cItiOk3BypE2bCaUBf7F97f50pVJbEPluO1y426T\nT+82yKR0LszmmSxaaJrCwmSGrhNwUBfWeGEYoxdssimdr78wRafv8876EZm0TpzAcdOhUrCo5C2O\nW6eEyzAfHUU+DVIXTWeCoLo4X6DV9clnDO7stankLVpdl4VajpStUc6aSJLEja0mGVnCUBWyadEZ\nF4YxAzeg3nZRFIl626XWLJC1bOq9HsWsSRgnbOw1SZkaKUslm9JFZ7iqEMcJmwcdkjghlzHoOT6a\nImOqJkqYwvW6HDUGXF+toCkyG3ttNvc6zFYz2KbYJGZsjWLWoNHxBJkkncrlewOfF1crVPImu8eq\nuPd9YUVj6ApXFotcXSoTRwm3dtps7gsLvJvbLdbmixw1HaKhEiWK7y1qjIi+zf0O33p5hsPGgNs7\nbS4uFHjzowNsQx0HdUdxQnfgY5vauDBrGQqOd2bjBBSzJjOVNDtHXRamsoRhwubeMKBcgiAQ75dl\nqDQ77j1B4JcWiniBIMA+3KhTzFl0+h66qowzY4pZg8lSinrL4bDhjIM3vSDiwnSOTt+nWrTRVJmL\nC0Xev3mMrirkMwYTRRtDP81qSVmia3KplvnCNz3n+FVBdH2etAa8sDLBD9/d4/1bx5/5qIP6gH/5\nkzu8uFLhG9eneP/m0QNdn58fz68weWunRRAKYvvyYomP79TxgxhdE930YRQLwmN4MFmSUBWZhETM\nP6bK1aUy5bzJcVPMz12vx3Jx4Z55+mb9Dg2nhTq0CRvbGSYJXuRTtPKslBZRJIUfbb7Ja9Mv0vX6\nhHH4WHuzJ4GqCLtB2XA57nRYyeap5C36bsDAFeuhBDF3jwtv8vB1JoIAd7yQmYk01QmDUOnTjwwy\neorFwiwfH9/EjwNCL2QQOGiKyHER9qCiMztOErp+nyAKCONwnJ21WJglrdsc909Im8LSckQOj16x\npevMpOb4yebp52/0s9HwszyT54XlMrahsDpbQJZkml2PD26dDBsvHrwulqGMc9C2Djpow8aMldk8\nKzN5MrZOlEQEYUw+bVDMGtQ7Hgf1AQd1kZuyUMsyM5Eej7OOF/Kjd3fvaXooZg3yaQM/inGDiJSm\ncPZ+eJRK63HIZ0w29k4f0+p6w4yZpzoM8PyL81EsilEvrlT4cKPOrZ22WA/KohgVhvGwyJswyiVS\nVXmcn3Bru4WhKby4UsH1I3G83xBxS5Qk3NzpsLnXfijZ2x2ITJ2nnSODKH7AsnGkmnHckGbXJQzj\nsd2oqsoUMiaWoaLK99oEOW4obBHPO6n/tYEXe2T0FHP56fG8UbTy3Krfpe11UIdk/VjckST4kU/O\nyLJcmkcezhtr5QukdRsv9tCkU+WArCS0GgovTV3lbvOA5qAzVGZxqp65j72Wz1DaSZJQsLO8NHWV\ndlOhmk5Ihh9XQ1PYO9D5+sKrbL7z5/ihsG5WhwqXKBH3+2hykSRQh5aSUZKQxGJd/vWFV7l5wxfj\nxPDzfGe3x9r0Bd7aex8v8k9zM58CpmqQN7NcLF/goO7w4Xp7TI7alkatkiFt67R7Ht3+01s8jRRE\nZwvqfhSyd9JjeSbH1kLhM0PVH4ZLCwWWZ3LsnfRYnc0O3w+BJBHNU9WCzfWVMu/dPHnkvBRFIqPx\n7LykqTJXFosUswbB0FHiSfA813IjhcjGfveR4+kIv4l7jjhO0BWJyYLFZMHGsLWxTZ43CBitOc+J\nlnOc4xxfNM7Jli8G3wX+O0To/W8Bf/uI3/vd4b9/9es4qSfBWbsFy3owciaX0ukM/DHRMsKoM/36\ncpmdox4DNxxnIBw2Blx0Jqhly8SBRyWboj1wmMhXuVXfRpM1VFkVmSycduRJCfT8PmW7iBOIYn4t\nO8FWa3f8vMkwjbDtdiiYOY4HDbzQx48CMkaaIA6EqiYUWSAkcDJosFiYYzpb46h3QsvtkDXSY6Im\nSmJ+uv1LqqkyF8sXuK5eYqu9RxAFtD2dklVgIlXiUnkZP/LZ7RySN7Psdg5E8SAI2e3sk9bTIutF\ngiAOcUOflGaTNdLI0ogkEgWHptPhUmUFzw/p+w7LpTnkRKM+aHGhNEUQRuiaIuxHhlZetqmiqTL9\nQcKLC/O0j2xyaZ9vviQ8Zv/5D27ztRemuDhfpDfwqZVS43Dy0XV+9+Yxv/+NJS4vltjYPQ2TVxSh\njJGk0w5/dbiZl4YEQ5Ik5NI6lqGyd9xDQigDjpt9QejIEjMTGVZm82zstpFlif36gAvOBHOFKv24\njZzo+EHCTr813uB2+j6OFw4D1EQmgDLsiF2uXCArl7nd76JEOfbbEZbm80ohQyEbcWevQ9/x+dYr\ns0TDBW4QxjTbLr/46JBGx0UCTEPl+nKJ335llt2jHttHXRwv5P/5+5t89WoNP4xRZZnlmTx7xz0M\nXcE2VfJpA1NX6A58glAUBI2RlUCcDH3sE65dKFErpbmx1eS46SBJEhdm8/z840MO6gNeuzxBrZRi\ndS5PLm1wc6tJZ+BRbznomkKr5zFVTpFgCvsXCW7c6bNyaY5E3iCXNri73xkHtR83HWRZEsUBVabd\n9VCHOSNhGBMEMZmUzkymhjMQjwmjmN4goJw3WZsr8OndJluHXdKWUPgUMgaz1QyqIovONEkUFlVV\nXJfJYoq/f2sH1wspZE10TSGX1rk4XyRj6/z5D29RzltsHXawDZWuE3DYGLA0nefSQpFPNhtYhnqP\nXZfEiGxJGLiiEGqbihhD5gtcX65we7eFf8aaxQtiJCkUXXwJFDIGiiy6yoUdmspsNcNUOcVRc0Cn\nL7rNFUV0/nlBzKWFAqtzBd74cJ92T2wIFRmuLJW4MJ3jJ+/t8tLFKgs1EYjaaLvk0gYDN0BTZUxd\nIYqFTZBtqURhjKopTFeERZ0kiZykSs5idbbA0lSOnaMevh+h6QqKImNoCjPLpfNurX8ASBIoZkxe\nXKvy/bd3n4hoOYt3b4rf/+ZL0w90fX5ePM/CpOuHqIoscqpqGUgSbu60GLgh0VCtoMj3Fjn8IEJR\nRKFmZSbPdCXF3X1hwxnFMW7oYWsmi4W5M/P0MpZmstnaPiVRZJWMkWIhP8sgcNho3OWwf8JycQFb\nE2sCxxe5V6Mci2dBMWuiqhL14JDJYopWz6fdE2TsRNGm3naQIuEzP2KSk4RxXotlCEtIQ1Po9j22\nOjtU8zmOB3UuV1bY7x7RdNvEJPhxgB8HeKE3VBGekkrhfdk1BTPH5coKx4M6GSONrink0wYtuCcs\nfak0zfGB/NA8oCQRjRvffGmayVKKo6ZDtWBRydt857U5KnmLd28c4/rRmXwamULWJAwjWl0fL4jQ\nVGHDuDqb5+WLE5RyFgoQxhKKIjFwA6bGykqxlnTckI/vNB44p7OloFLWYKqSZuAGqLKM44fosjQu\nhD+rSktRpLHtI4AfCpIqbalPfa897+K8LEEhY3Lcdjio90lZKo4b4gXRQ0gvcbJhFCHLQlGXskQj\nzPxkhkrOeu4WhM+Kp8nU6TsBH90+odF2eGntsy1k4gSiMxcnQczHra6HHz6Y+eQFEX0nGDdEFIY5\neeJYyUNVeef4zUVEzOHgZDyejuaN1fISlmZyt7VDz+sRxmLdnzbSzOdn7pk3RuPp0aBOLV2+5/hu\nEJO2NUzm+Mrsdd7Yfo/mQOyRJSkZ2z7fi9MGhYKd5Suz16mqc6iqhhfE6ENHBxkxT14tXuHr8zv8\nePOtodtAJOytlZGS7dQSLYji8UY6SeD1xVe4WrrC//J3GxiaTByLsXH3aMDyhSLzuWkGgZgDn4Zw\nMVXRFDCfmyZn5vj4dn+cXwiCHD2o9+kOAmrlFLOTGXYOu088hj7K0ioMhTK03nH5yrUawFMRLpcW\nCnzlWo16xyWKEsIQ9PsIZ12WKKQNFodWaJ9sNoQt8kPmpVxKxw/EGKurChfnC8zXsiiyRKv7ZJlw\nD1PwfF48TCHiuOF47WaZv/kKkWQoz7QNTVhOR/E4u+cc5zjHOX4TcE62fAFYX19/Z21t7R3gJeC/\n5CFky9ra2neAV4b//Z9/jaf3SDyJ3UI+Y/LOjaOH/qzV81AUmWbHfSCo+qfvHvM7X1nF0/cJ5QGH\nrR62ZrA3OB5OphKqrCEhwqMZ/q3KGoqsoMgKcRRjaSaH3WNkpHH3JoATeuSNLCKYXqLr98gaadJ6\niq7Xp+32yZkZ/FBYa7y58za/t/LbaJJCfdAkjEPSuk3PH4wDdw/7JzScFrqicaG4wHS2SlqzyZk5\n3tn/kHcPPgYSrkysoSsaLbdD02nRHy5au36PnJGhZBc47B2TM7PC6gMIIlHYyBhp7jS2KZg5NAx2\n2i2uVC9QMav85Pb7SIqwKNtpNIjieKhyEVZGpi5saF5eWuCVqavc3nL48pUSN7cafHSnwWw1Q6fv\n8fLFCT6902DghkwWbeodhzgWm8YoTPiLH23wB791gTv7HQxNYXUuz/Zhl4ytjUk0WRbvh1BOyCBJ\npEwVQ1OIophc2mCiYFPImBw2BmwdiNiiJGGsNnnv1gmKLPGLD074N37rIgfBJk23wWS2wN36kQgM\nDiLStiYyZvxw3HEcxQlT6RpFpcZ33/oUGMr9Zbg+Nc/NzQFffWGKk6bDx3ca/PVPN5mrZfn5hwek\nbRFyL0tgG2JILOct9usD/qc/e5+vXpvCMhS2Djp4QcRP39/jpYtVLEPhylIREAqttCU6azRFplpM\nEYRiQx5FCbYpVuoSIkR4sZblez+/S7cfkM+IgpAsie7c11+cImPrfO+NTU7aDt+4Ps2LqxXe+vSQ\n2/UOlqFgGSo7Rz2mKmmytsgHSZKEldICuhXw409uocii0BmEMbouLKtIoNv3MYb/lySRu2QZKsuV\nGqpfxMjK9AYB1WIKVZH4Fz++w1evTfF6weKTOw2OWy49p8v+SZ9ryyVWZvM0Ox779R6mrrK2UEQm\n4W9+vkU+Y2DoQmlyYTrH2nwRWZb48Xt7HLcGTFfSLE3lOGoOSJkaPSfgZx/s8c2XZ9E1md3jHo4X\njveho875JEko5032jvtcXijx4Uad/fqAF1bK9JyAds8/8xhp/O/AC+m5wZgUc/2QL1+psVjL8tb6\nEX4YYw8/t+2+uC6XFoqYuspP3tsd5q3oZFM6a/MFdE3hh+/uEkVCxP7apUn+8md30DWZvuMDEvm0\nsMnZPe4NbQVUZE0hmzaYqaRJmaJAV8yaXF0qMT+RJkliFqsiONy2DVRV5Fl0O855t9Y/EKQtlZ31\n/lMTLSO8e/OYpZk8F6ay+P6Th8R/Fp5nYVJKJFKmxkFdkPEz1TTZlM7mQYdW1xM2o0NlmzQkc9O2\nQS5jsDiZJZvWOW46HNR7rM4VMRQdU9O5Wb/LXE40FdxqbHLYP8HSTOZy00xnhYVoGIcMApefbv9y\n3KyxXFxgLjfNVnuXldI8oS9RKVh0+z7OM1xDy1CYKFhoRkIQ+UgS9N2AvZP+ONtqomCjyDLNrjss\niIuckoymU8iYRHE8HNM8DE2hmushJbBRv8tCcZYXqhd5//BTmu6p2ihMosc2wBbMHC9UL5HSbW7W\n7/BS7ZrIBDAUcomOpglyJWukWM4v86MfPlioKuVM1uYLrM4WWJzOomsK65sNpgo2xbRGq+syOyHG\nt829Lu2BRxQJi7jD+mBszajIEsWcycpsntmJNNWCzWTBFGOclGAZKpqmMHADqqUUtqVx0nLuUSee\nRTK87uW8RcbWGbgBlqlh6gpHjQGZ2tmcgEertB4HCcbnP0Kj65K2Mjxt5/HzLs5rikw+Y/D2jSNU\nRSZOINYh9oLHzhuiYUVFU0WO2PZhl5WZ/HO1IHxWPEumDjC0yDni1YuPt745m5EVJeJxvScIrPbD\niKPmAMcLmSylUKRfTUbWOX7FkCRu1ze5UJwfj6eH/ZN75o3aY+aNs+PprfodrlYvEsQJ2ojUTcTe\n4vu/bPDy9RdJEvjg8Ab1QQs3eDR5YWoGJTvPteoq18sv8vZ7Db716vw9YfVJIpGxNf73P7vFv/cH\n3wYJfnznreHPEsLwEfduIhSUry+8yu8u/w7/wx+vszZXHOY5DhubYhnfk7g2eYm93hFJArqsMQic\nB8j7s1AlBVuz0BWdnJnl2uQlfE/iuPkgsSAhiIQbW83xnLK13/lMUuFxllayJJoNP77TYGUuz2uX\nqlSLNh9u1DlpPZrcKOfFGnyumsHzQ25vt7i8WHzo/RzHCRemsxx3HOYmsxQyBrd329TbLn03IIri\nsV3aKL9S1xRWZvOYhsrADZippNg+6D548IfgYQqe54H7FSLBmfPWFGFXd77nOMc5znGOZ8c52fLF\n4T8D/h74R2tra38E/Nfr6+sdgLW1tW8Dfzz8vT9bX1//uy/oHO/BZ9ktCB/r6JFFCVWW6Lv+Q/3J\nNUWh00p47doVGlGBKARVVfCDEAkFPwyG1lry0MdWHvrpSnRcQZw0nBaqrOFGIphaSiCRxAIhjuOh\nDYmwSvJCnxOnSc7I0hi0hLXIcC0hDf1439r7gBdrV7B0i5snd4iSiJRm4YYeQRySDDtG3dCn6/Wo\nZSZoOG3+buOnIIGpmlwozrNcXOBfrv8tbb/3wOtWJJmMnkbOyEykSgwCh57fp2jliZOEvu8AEhOp\nCo22x1phjVIqx/v7N7BMHV3W0RSVeqePJAn7lpShYGgKGdPmtbmLXJxYYmvHpd50abYcLi0UURR5\n3F37y08OubZUpuv4FHMG6r7MYb0/7oIMo4TvvnmX335FRAx94/oUH99p8MHtE1Kmhm2o+GE89jNO\nWRq5od2VCFiV+Nq1GpcWS/zo3V1OWs4wuFBkv3y6WWdtrshsNcPGXgtJktjcdpmrLZLPZ/G0Bm7o\ncdTpMHBDilmTjK0NO15Dskaa1fICcmjxk09uiuPKglS7ODXNpYklWu2Y3sDH9QIqeZNqycY2VZEp\nsttCkSUKOYuVOYsgjNg/7tMYqj9++ekh87UML1+sosoSt3fb9AYe1WIeTZX5zpfm2D3ucdjoDwPb\nezQbA3JpnVz6NKCxkDVYnsmjKQp/+4stXC8ibWlcu1BicSrH7nGP6ytljhoO7988GT5K4mcf7FMr\npfidV2Z5/cWYtz49wvVDLEPF8yPykyYvrU3Qc3ze/bTF3PQM1+Y87pwcEMcJdlonihK8ICJJRKe0\noSuEUUK7KwiFy9Oz5OIZdg88yumEqUoKWZb42fv76JrCmx/uUy6YXLtQxjBUdg67KMMMFlmWuLxY\n5N/8+gJxAh/cOmb3ZMClhQKmoTJZSjE7keGw2efGVpO+41PKGSRJwvu3TvjG9SlsS2X7oCvyj9yQ\nj24f8/Xr0+Szwsu/1fXw/GicBVQq2pTzJmEUc3GhSD4jlDyf3KmzOpenWrS5sdWkM/DH9ihhFCNL\noCoyfTegkrf49mtzXLtQ5hef7GMbKpMFC8vUsE2N+VqGbj/gzl6b3eMe87Uslq6yPJfHcUM+vdtk\n96hHrZxibbZIKS8KhCszeda3muNONFWRRJaMrgIJuqpQLdmUc9a401+SxOZxeTpLNB4fE1RZIm2f\ndmx9wTWvc/wa0R4EfLRxgq4qDyUxPguGpvDR7RNeWiljqfJnP+AJ8TwLk4oMc5MZkgT26z2iRKgU\nV+cKqLLM9pHIhIuGWVMpS2N2IkMYx7heSL3tctTokyTw0moFGY3pzBTb7QM+Ob7JhcICZbvIjfoG\nDafF+snth55b0cqzWlpClVQ+Ob5JyS4wk5lCjjR0VWayZHPQGDyywP8wWIbCZCmFrilMFi02dkVR\n7aTlDJsFhEWW64XC3lBXsA0VSZaGdqAx9Y5DFImvgzBGliQOGz0URcaNA+62dqhlJkQOVHOLutN8\nbOexqRqUrAJLhTlqmQqbzW380EdKoNPzUDUZ0xCWOeV0lmuVi6i9MrZxzPxkBkWGlKUzPZFGVxVq\npRTTEyn2TnrUm8e8dnkSSFAkifnJjLATDRMWpyTCOObOfodeX+RoqYpEOqWzOOzwzdgGtXJKPM+w\ngKZKMrahMpG3uLntEYQBpq4wM5EmSQTJN5oXZEmoW4tZkbMgSdAbBCRJwvyksAh13PCewtnDVFpP\nggTGNj0jhGE8tnB9Gjzv4rwkJei6UL/6QUTPCZAkibSli8weLxR5DkMbMUWRMA11rBoLBhFpS9j6\nGLoyzpb4ovAsmTpnsX/SZ2O/y9pM7pEFw1FGVnvgP/F4dhajbv2pcuq5Z2Sd41cPVZLxI587jW2m\nsveOp07gPnLeuH88vdPYJogCVEnmvdt1vnJpgjAUMpHbu23mpgr89fcP+fY3XqJkF/nk6DZNt0XT\naeNHwXgc0xWNgpWjYOa5NHGBSWOev/7+Ea9eqXJ7t80LF0rjc4hJOGm5xFHCf/tHH/Hf/KffYT4/\nzU/u/pLNxt4jX/NCcYqvz7/KldIV/ubvD/jKlRrhkCCK41Nlg5ZoTKYrvFK7ylt7H9JwWmQMoTJ0\nApcoicZ7P0VSxjk3EhJ5M8srU9eo2GUO9t1H2mUpkrh3ml2P2zttFqeyjyQhnsTSSlNkZFlCUxV+\n+fEh15bLTJZSFDMmYRxzY6tFuyey0jRFJpc2WJ3LI8sSpq7SdwM+uH1COWeL4zziflYkidcuVvnl\np0e0ui6XF0vIssT2QZeu4xNFMYoik7F0lmdy9NyAzb0OlbzFxQVBKj0Jfh2h9COFyFmF5fkYdo5z\nnOMcnx/nZMsXhPX19R+sra39M+CPgH8G/Mdra2ubQA6YHP7aT4D/8Is4v/vxJHYLIx9rbWj9Ed23\nMFAUmU5f2OrIsgimrhZtLkznsEyNw0afm5t93r8V8E/+8beJtC4dv8F+T2wOK+kiTuBgqmIx54XC\nfzxBBPCl9RTxMMMlSmIUSagJ4iRCkWWh1EgiskaGve4BvU6fby5+lZv1DUAiiAMszRSWY5YI2n1n\n/0OSJOHyxAqWarLfO6LvD4TtmCRjaxYrxQUm0mV+vPlz9npH6KpOwcwyl58hSWJ+sPkGE+kKmqsx\nCFyiWCxOS3aByXQFSZIoWDkuVpZxAhdN1mh7HRRJ4bjX4kpljZX8KrfjJjd3j3ijvUsxa1ItTPLS\n3AUUFFKazXLNRlFkpFilZtfotVUauxofdTocNQaio16WuLnT4upSmf2TniA/2i5bB10Wp7JcXixx\nebHErZ02+8c9em6AbahkUwayLAtrMk3m26/NsljLcnOnJYoVkiCpUoZQS/hBxMALub5c5spSiWop\nxeZem8uLRS4tFjlpDvCDCD+Mh1ZkMddXyrx2ucpRc8D63SbdXsRceg7TmuG1Fy/zwcmHHLTrdAYe\nhqYynbFZKMwSBhLru0fsNbYwDNGVaeoK1+fmuFK5RLsN0xWNn390yCebdTp9n5SlsTyd47XLVfIZ\nnY3dDgM3oN2Tma6kydoG3YFPsyO6jRttj3bvhFLG4BsvTjFdydAbePQGAbd3miQJzFez5FcMtg+F\n6mPvuI8sSWRSOgu1LK4f8kDehcAAACAASURBVM76Mc2uSzEjOrhWZguoqkytaLN70uOjjTrNjocf\nxmRtjYyt0ei43Nlvc/sv2qzM5Hjt8iSWKSIym73Tc/zxe3vMTmTotOCF2atM58usH97lsCO6xFRF\nxtAFqdgdiMDP+WqR1cocXivNj9495t/93YtDv/YJNvbaLE3naHU9wmF+ykGjz6WFIl++OokfRKRM\nnXLOoNFxabRdsmmNb748y6gbSpYS3CDG9SJMXcXSFcJQIQxjlmdy9J2QWzttLszkKOcsDk76wks6\nivnem3epFGyWZ/KkTI2doy5eEJGx9bG6ZHWuwMDxWZnJE0YJu0ddmh0XTVP40uUqSHB7p02nH5wJ\nUdZYmS0wUbRYmsqTT2v8/teXiKLTYpmhqchSTILMpbk8PVeEeTuesEmSJYmX1yr8/utL+H5Eu+uJ\nYqUi882XZliYyrK138X1Qzw/GhYXZYpZE9tQURWxoR1tZn5TgifP8ZsBWYaDxoB62yFja/QcoRB5\nUhiaQtrSqLcdYc03mX5obsaz4HkWJk1DBIuXcxYnbYfDep+MrQ+JUYlixqCUNccERJIkdPremJQd\nHaucs6gWbaIwYTJdRUIQKDcat9FkjUvlFSzNYLO1TeeMjVh2aCPmBC6brR2COKBil0SoerpK5Mqo\nqkza1qkCjY7HwA0em+EirA1VilmTlKmiKBIZ2ySMGBMso/s+TgQJ7vkRvi9sX0YdyxLC4jIethmr\niowXRESRUBetFBf404/+Ja8vfImJlMiCO+of0/cdWm4HL/KJkxhZkjEUnbyZJaVbTKQq5M0s9UGT\nH2/9gj+89m/RD/oM/JDQiZnMZ5jOF7lYucBSao0PGm0uL5XG6iJbV1mYzpG2dFwvZOeox7/6+Ra5\njMHXr0+PC/O6LHGhlsE2FE7aLo4XoSmymPOHpX5dlSnmLKFEyZnUivY9Y6Aiy8xMZLi13WKhlmVj\nr83eiUMpa2HqCoWMcX/UAbIk4fghjY5LPm2wNJXDDyLKOVPYMp4pnN2v0npSRFFC2tZpdE67pEfR\nQk+L512cTxKJ3aMeSZzghyL/aJTxhiRsbHTtNH8ijkUuEMM1gqYJcjeOhXp2sfr0ap3niWfJ1Lkf\nm3tt5qsZ9EeG6iRcmMnz6d3mU49nI3QHPs2uytdemOKLvF7neHpIicRqaYn/64N/zm8vfo3KE46n\ntm5RHY6nJ4MmP9n+Bf/OtT8gieDd9SOuLBaxVJk4EWPMxm6bheksf/n9PRany/zW0jSB2uXjo5t0\nvT5RHKHIChkjxeWJFdQgw807Hm/v7nFxocjGrliTx0kM4/0tvPnxAaoik0kb/Ff//Tv84T9a4z96\nYZVm0ODnO+9w0m/ixz66rFNOFfjSzEvktSIffOTxX/xvbzEzkWZqEHJhJsfr16dI4lNlgyzDntvi\nUmUFgI+Pb3EytOM2NeOBrBkJCUPVKdtFLleWWS0u0WgO2D/UHv8eAKVh1qSmKixM5ai3nGeytJLl\nhMlSmr/48R1WZvK8c+MYS1dZnS+QTRmszRfuGfcVWSZj6/ScgA9uneD4IdWCzY3tJt96eQZZToge\nsfzSZYkvX5pgs2BxY7tFu+tRzptUCta4DpIkCUdNkdX4yqUqpiY/kXoHzvcG5zjHOc7xrzvOyZYv\nEOvr6//j2traz4D/HPgWsAj0gR8AfwL8r+vr68/P/+Nz4bPtFkY+1rJ02h0ygiziUOgNAjRVwdJV\nrq9UCKKYDzfqdAc+yzM5PrpT5/Zumz/6P3v8J//kIkuFOVw/JghDLCVFRs/QcNqEZ1Y+qqIy8Dxy\npugKzxhpjvv14eZVdNvYmgVJMrTpSlBkhZ7fR0GhbBc56tXxwgBbszFVEydwyRppFFlhv3vID+++\nScHIMZOrUUmVRK4KEm2vy0HvGE0R1lbLxXkm0xP0/D53mtu03Da6oqEpGkEUktIsTNWgYOVJ6TYd\nt8tR/wRLNblcWUFG5kJxAc/3uXGyyeXyKhVzkj/92TsMPNEZZOiKILKcNNloFlPTeLVWRZUhieGw\n4bOz3UdVZGYqFm98dIAsSWRTGkvTOVw/4i9/ugHAlQtlDE3mzl4HWZJodlwO631mqxm+enUSWZY4\nbjm4Xkij7dDqhPT6Prau8qUrVV5/cYpGx2Njt43vR+K8hjkYyzM5chkD1wvpDwJeXK1Qb7u4fkAu\npQ+lyWLBW2+7fPeNTTp9n4mCzfXVCpNFm2LWYP1ui9Z+xJcnv45TadH02tTbPbwgYvukjh+FSGrE\nXDWDJEnkUykulGaYzcyiYiBFHp/ebaJrMleWSnQHAY2Oy35jwP6bd3lptcIrlyZo93xkSfh9B6Eg\nB2arGUAUxbK2znwti21qvPXJPictD8cX1muGrvD2jSP8IOLSQpFvXJ8ik9IZeBG7R112Dnp0XZF/\ncnmxyNJ0niiOaXU9SqZFe+BxfbmCIsm89ekhjh8OJdwStqnh+REysLHXodn1eGG5wuxEmsVahvnJ\nDAM3pDBUdwy8kPduylxbLvPq1CtEMw4b9S36gYMfhkiJzEK5ynxuhm5LYf3DPvV2k6sXSqzM5IkT\n+MFb2/ScgHLeolZOocrSsOAprs//x957NseRpul615s+s7wveBAkQZBsQ/Z0z/TM7M7OrDs6Ukih\n1Qf9I/0Mhb4pQjqK3aOI3VitOzuz43vaWzYNCILwQHmXVWlefchCESRBEiRBNns6rw9kkAVUZaV9\n3sfctyIE52aznJ3OIGXITDEZLc7GRrsj/94ouqFFZpwX5jK8e7lKszNkbavNYOgRpEGOPX4uzufR\nLkfyNbe3WsxVUnT6kTm0Zaj85TvzGIZG2tFJGCq2peF6AR9e67FTazJXSZGwNG5uNGl2hrSNyLOo\nnHeoFhVUEXXipyyNMzNpzs9ksQ8XbTKS7jmUfZBhSHSHCTE1BStlUkxZD43YR12/4qH/PzeT4tZW\nh9XNVtRZzP1G4bHZfczjkCh8fD2SDxMCUo6ONlRwR/5DTQxHUcedmbZ5T2D8o+v7nKmmgVOqtpxy\nYtIxVK5cKPOv792ZvNbpj9A1hbRjIpR7Pm0yhHZ/+FCH7JULZVKWRgCYMsmZ3AIfbn1Gwc4x8F0+\n3f0SgWA2PcVsOo2mqPhhgOu5vLfxMZKo+SFtJmm5Hd6afh3VT5AwdS7M53nvi21sU6OUVei5GiMv\nYDD08cfTZmJcDLFNDUNTcexIinAw9KNpQF3DUHR26n2klBMvrXtO8zw88XvkNW2cjB95IbpqIAPQ\nFY28k+WXt3/P9+euktQdZtNTKEJlt7uP6w+JysUCSzOpJEsEMkBFYb9X47d3P6Do5NEUHS8MSVsJ\n0kaKaqrAfHoO2czyjx9sU8iamLp6Tw/dC/jlR1sYuqCaTzAY+YyCgJEXUGu5pMqJSWFPFYL5UpJy\n1qHVH3KQ0HG9e1Owlq5QzNlkHPPYBJrnBwgR/d0f+ixOpWl0hmzsdugPfbIpc9LFHIYSL4ieqY6p\nsTCWdml2XUxdRUrJbCXJ0ezg0Smtp6HZcVmaTrO+c68IcKRO9lScpukxROeRO/RxbJ16J5py0jVl\nLCkm7yv2wXiSW1NRROSBd/iKY+u4w2/W7P1ZPXUepDfwaHRcqjn72ATnoeH183aOh6EkPY5tY749\nCKFgqCZFJ8+/3/4NP5z9HikzyWxqCqEo7HUPHrqflpNFwjAqvux1D/jtRnQ/NVQThBI1D4wbHQxF\nY227za8+2eRn35tjeSHPzfUmX92uk09bXD53FSsnUVVBEEjcgeB3v21Sb2/jmDrLC3n6rs+vPtlE\nCLhyvsih9qDnh+zXB3yxWuPKcgmA//LfrvN//nPI5TN5/pe/+CuM2RChSmQgGLkKf/sPd/ji9l10\nTWG2nKSUtfnDl7v0XZ8fvz6FOZ7akzIqMhTNIpu9u1wonSNlplhvbdBw2+z36gz94eR+bmompUSe\nrJlmPjtDJVGJGqgGKTq9J/ueSSlRBezWevz0rdloKv0ZJK1CGflIZhIGNzaaLE1nGAx9fvPpVrRO\nn81GjYOqgheEtNwR7325QxhIyvlo6vzGRpNMwqDRGRLKDI+Ln1QhOD+TYa6cotF1Wd1sjydbJJYq\nSNkGSzNpckkLQxfc2GjjWI+/r8Vrg5iYmJg/DuJiyzfM119//SmvyPTK4ziJ3MKhjrVEYpsqnh9O\n5E80VcEd+tzd7fCnV6dZqKa4cbfJjbtNxDhJaxkae40uQkRdvH//i3X+6qcLqN4+uu5z0OyTtNJ0\nhy7W+Mw1NYMwhKHnc9DpYmkWK+WzrNU3CGQIMiQUkDJS7HYOqKZKtN0+lUQJVagc9OssZRfY6uxF\n2vP9FqVEjmHg4Rg2m+0dbN1GFQoD3+V2Y32ssR2iqxoFJ8e7s1dJGSk2zTR+6PPZ3jVcb4gXegQy\nRFd1clYGWzNxdBsJ9Ed9djr7KEJQShT43vQbZM0s1/Zu8y8b7+GFPq9Vl5Eji//j179F1wSKopBO\naEigYOd5vXKJ0VCwdrc1kSMKZZToXlnIo6uCte0OF+ajrn935PPBtb37zG/3GgNsU+MHl6vMVpJs\n7vXQNUHS1rm722G/OSDtGBRzDpmEiaEJpooJEpaOqUXJkZm8zUz+0Vqvmq2zW+uxU+9TyljYKZve\nwOPrO3U6vRH9oQcIsimLty5UUFWBoQpKWRtTVei7Hnv1Plv7kEoYFPIlZlJpNtqblNJJEBJD07B0\nk3OFBVJaBkUa1FsuO40OWwddkrZBKWvTc33kOEEmx3rw89UUmYRJb+izttXmq9t12t0RtcDFNDQW\np9K8drZAwtLw/Wgs/IevzzD0fG5ttqk1B9RbLstzWZKOQTnnEISS4dDHMRTePFfkyrkiEjAMjSAI\naPc8dmo9TEPl7k6LEEEuZfLjN6e5vFRg+6DL56s1uoMRmmpFRTZdZWkmw8gL6Q993LFESKc3opx3\n+MHlKf71vXVsS2PoBVxbq3NzQ2GhmmY6fwGhB4QyxAsknU7AH25Gkj4SKOcdvn9pinzaxFAEf/Nn\nZzlou9zaaNEfesgwSuQmLD1aNBztLhMCdZzblaEceyndWxwcLowEYGsKTt5m+sHz5UiRRgIX57MA\nBFIiQ4miKAgkmnLvvAr8EF0I3l4ps7rdYW2rhaII3rlYwQ8kq1stBq5H4IcIDZyEyaWlPLPFJI6h\nEATyxMmVR43YP+r/Fb79xpMx3xxDz6fVvV8OyjE1LEPFD0IGQz+ajGLcza+IyIBeVVDEPSNciDyZ\nhp6PoZ6OlNhpJyZ9P+TNswU297p8tVabvO75kYzWk7h0psCbZwv4fohUwe3qLGUX2WjtsNPdxVB1\nplIVAPb7tbFcS5QkM1SdaqoMUjIKPFpuh6lklXPZM+BZKFpkAH97q83WfgdNU0jYOulE5AXi+eFE\nP1/XFBxLJxhPAY68kEo+wfJ8jlpjxHxmjl95q7ijAFOPJjAPp9senIoQjJP3Y5nGMIwmYBQB8+lZ\n6u0htm6xUjzHL3u/5zfr71NJlljKz5M2U+TsLKEMJ0UqRShjz6oBtxt32e1FhbzXyytYqkHoK1zM\nr3CusMD+Hvz7zxvs1ldxLI1WL5JSEWIcY4SSvUafvusjhODsTIZ3X5tmfbvNB9f2WCif5Whi6lAT\nvpy2KKftp9KEDyX0XY9izuGL1Rp+IDENlYtn8gShZGu/FxXtgyhRaZs6V5ZLqIqIJlLbLn3X58yU\njefLaBLmyMccTmkdNW0+CZ4fTUlmkubkOtW0aKL7aSZUXoTpsQQ6Aw9TV8kmTZrdYXRuiSgpqBrq\nfZ93mMeT3DsHs8mowNYbeN/wjMazeeocx63NFtWcw3GFLSFgMPRZmEpz0Lr/nnNYwBaKOFL0lccW\nvhem0lGhS48LLt8mPF/iGBavl1f419u/4ld3/0A1UeJsfpGsnSZnZwhkOPECVYWCIhTaow636nfY\nOXI/dQyL0Vhu8rDRQcqQTn9EPm3xD7+6zZ99b5aVxRy11oBmd8SvP9q9zwNKUxVSCYP5Sopi1man\n3ucXH2wwW0nS6Y/uu8f4AXTdEUEo+fj6Pq+fK5AYr7lubrT43/73j6NnDIfPFYGuKeRTJpVCAlOP\nGjuCUNJ3RwQh8IAZvBrqTCVmuNvdIKUneWvqdVx/yFrzLv2RS0iIgoJjWCxk5zCEQWfgsnnQxPTy\n3Nl88nP8KL1B1BB3tDj6NPfVoeezuddheT7H77/Y4eZGk3zaYr6aAgl3d6Op8zCMpogtQ2O2FEmj\nNTpDNvcjye/l+Rybex2GZ/NPjJ8m3idZm2r20ethQuK1QUxMTMx3iLjYEnMiTiK38KCO9X3yJ2M/\nEdcPqOYTvH9tlxt3m0C0mDmU+Im67iLjviCUtOoKnbZC2/UoZBIkLIOCKWkNeqiKYDSIkrNIBRnA\nrc0mM05ANVmh6TYZBR6GqhOGkpSZwtEdEqqOo9r0VY/1+g4r5SWWsvPcrN8hIKDvuWSsFLqi4wUe\nA8+NujC1SLIiaTp4gY8f+iT0BI1Bm8agTW/U52b9TlSIUTQcwwYJpmKiCZ2SnSKQUcIkbSYpJ4v4\nQRB11Oopfrv2CX1vwNWZSyhobB90+e3ta5hGJGPiDn0Shs25whxTiVksNRrhTjk66jhIW5zOcNDs\nk01bfHJ9n/XdaBLiUeRSZqSPryr8/INNgiDEGxfIUo7BG+dKpBydlYUc2li79sHkyJO0XnUhOD+b\nZXW7w/W7TXqDSEruUPpFIUrNBIHEHXrMlFNHunkkSzMZ9up9IDJ37/SixFYuvYSqR34XcgRBT/Dx\nuovn99E1hWzKQlUFlaxNCFxayJFNGoy8+4PgQIbc2uqwudfBMnXeWilFOvlBiOdLdhs9/vHXt0kn\nTK5cKJFxDBptl1LO4S/fnmU48hkMA5rdyAB4MPKxTZUgCLFNg7Sl41hadP57AXcPXIIwZKrgMBqF\nVHI2YSjp9EZ8vVajmLWZK48XWQd9AhlimzqjkU+zN2SukkJXFVpdl42xrnGrM+TMdJq3L1Yiw3sr\nmixrtFxub7W4dqd+7PG3DJVS1ubNcyVeX8qjyug46IpgOmcz/QIME489X44p0kAkCcNE+uP4RJYq\nHi5s+H7IhfksqhJJp5VzNpmEiamJ8bF98QuY2Hgy5lnxQyb34UPk2OPK0BQMzSQ8ci0o43ulnPx5\n5L38kNM83R+XmHwajiYmdUXw1z+YRwj48nbtyb885tKZAn/1/fnJRNrQk6zvdkimkrw19RofbsF6\nexPNH6KpOikjOZ5AUJBEsUbfc/ECjyAMmU/PcHXqNQbNBPudFpeX8hw0oy7bn394ly9u18kmDTRF\nxdBVdFWdjN0cTuD4fkitNeK1pQJ/8c4smqJQ77jYapKsnaA3aDL0AlRFoKkK6nhq5cEEuBBRkWXk\nBZOkbj6ZJHAter2AgeFStHMsF5a4Xltlt3vATncfZ2zobGvWxNB54Lustzbpey6CaIJhpXSOUiKP\nH0py6jQLRpkvPmtNJjQVRTAYBsdKOIlxhj4IIomnhKMzV0my1xg8srD3LJrwqiL48nYdx9IoZm12\n61GDwGFha3EqPd5XYxkvCT3XozUuhAWhJGUb6LrC+k6bd1ZKk47w8RbcF188Da3ukHOzWT64thsd\nm5TF006ovAjTY0UIeoMR7W4kZwPQHBeEJp9y5DH74CdnkybFrEWrMyTl6ON7yzfDs3rqHMfAfdyU\njuDaWp182mShmubOThtTVzENjVBKGp3I/yYMowlYQ48k7BQhGI58hl7A4lSafNrkq7U6P35tilhK\n7FtEKOiPhhSdHJfLF/hi72t2evvs9PaxdYuFzCyOfu9+2vdc7rQ2GHj3ZARfK1+g6OToj4aEpoKU\n0XXnjnxQBLahoWsqubTFv/3hLrOlBBcW8yxNp+m5Hu4oOJL8V0lY0STkLz7cYGO/Rylro2sqqqIw\n8gJsLaqIKEokDQiMCy4HlPM2c5UUiiLYawzGhQU58SQp52yCULJT67FXv/cM1zSVR13uemiykJxn\nu79Le9BCKILzuTNREWd8/xUIDjpduoMOtkii+3nWtgbPVHh8XHH0Sfgh7Df7TJeSLM1kWN1sRVLH\nbRfLUClmbPJpa9JA4Pshm/td3CN+s2dnMjiWxvZ+76nip5M85+K1QUxMTMx3h7jYEnMiTiK38KCO\n9VH5k0Pd0kre4e5el2b3XiehEJEeux+EmPr9n7G757NcnuOXNz7noAk7tQEzlRRK6FPrPGygpwj4\ncvMuZ6fm2e80UYROJVHBUEwq9gzeEK7fbeFYkC84dIZ17jS3mMvMAIJbjTUGoyFzmSk6wx6O7qAI\ngesP8QIficQLPFJmkgvFs1QTZf7t1m8IZMBPz7xLICU3a2uEEpr9HiCYTiVo9zz+sHWHhGVSTCUx\nDZVRMORcYZGF1Bl2m20u5S6Td3I0+z0+3bhNs+1RzqZJmAaq0Jgpz4Bno0sTQzGYK6coZS0EYhKk\n+WHIV6s1Oj0PRRFcOV9CVRVWN5t0+vd8K1KOztJMFj8I2T7osr7TmSRQDhl5AfuNPqriYI9lOJ5V\nV/y4hPiD3TznZh/u5pEySmIkbP2+kWvPD9mru4/6uGi0vnEvgZKwdSxDIwyePIWwutWmM/AYDDw6\ngxGmofGTqzMYWiTflnJ05iupaDv9EENRMB2FrGM8Mmj2x7I3pqpwZirF6naHr9cax46R11tuNN5f\nSXLlQpGkFWkdG7oyMQW+cbcJMvpeh/uvWkiwvJDn6/Um+80BSdsgaerkMzYHzQGdfmTYKESULCik\nLdIJg8XpNG9fKE8Slvf2DXxbDBNPunh5GUWWB/k27ceYVwNNAV1Tj31tfGe8LynyYIHlvvfSFB5p\nVfBMPJyYfFqOS0zamsJ/fneB6VKSj7/ee2whp5ixuXKhzJtnC/fdt4JAcn29gWOqXDhf4o3qZbJW\nmtXGHdqjHkNFII5kmiWSIJSkjQRLxQXms3NogyLXbnYZDAMuLeVZ3+6wOCP4ydUZZssp3vtqh429\nLklHn0wShTKKX7p9j3LB4T/9YIGlmTTNjovvS1IJk0ZHcLG6wFa9GflShZIgDBBETSricJxFSsIQ\n/CB4aNrlQnmBzZ0h8yVJoApaoy7LxSUkcG3/JopQcP0h1w5u8eCsjCKi7x7KkJXiOc4XzlB32+iK\nTa3hc2e7yyc39yN5FU2ZyKQpY32sw65+xo03qiJI2Dq6pnDtdp20Y5C09VMt7EkJw1EkK/n2SoUg\nlNSaA5zxM3Fzv8vIv2fQbGgq2ZSJY+rsD/pkkiaLUymu322yPJ+LJmDE/e9/XHxxEjq9EXPVFAvV\nNNsHvYnJ/Ek5qelxdJ0/LFU56ZQ+5udNI5qAbnWGFDIWjqVRb7v3JRMfxDJU8mkL29RodaJpGNPQ\nHpl8fRk8q6fO8e8ledSuPizq7Df6XFzMkXJ0rt9tsnXQPXafDYbR5OHhPnttqcBsOcmd7TZJ2/hG\npddinh4VHXcY0Br1WCmcRQCf730NRCbw1w5uPvb3Xytf4ELhLK1hD0XakNBodYeYhspmrc/GXoep\nYhJNU6i3onXL5n6Pjf0eCVvj3EwWx9Ym8pI7Bz43N5v0Bj4CKGVtcimTdn8EMpKuPcTUFQpp68gN\nGvbqA/bqA2xLY7qYIJ0wUIUgkFHx/tqdxsNFTBF5ppi68sj6hhrqzDtzDO0SLa9DrX+AN/ZNFYAq\nNMwwDYFOqylPJB32KB5fHH08h/HTF6s13lwuI4iKNwDuKGBjvzuW9Y122oMTamdnMizNZvnk+h7l\nnHPK8dM94rVBTExMzB8/cbEl5kScRG7hOB1riORPQikZjnzOzWX5/FYNx9IoZCwabXdsIhcFV6mE\nwXatj6GrVPIJ7u51WE4UWCpNcae+iyJgY6dPtZTFyVrU+i0Go3vbJIHdbp0VMcdidpZ6v4WjpGk2\nJNu9DgJotIdRd6fv4I80wkDwyfZXXKqco5jIs9c9QBM6jm6z3tqMDBE1A1OLOtmyVoazuQVM1eSr\nvVVm0lWabpsPN7/i9coFppIV7jQ36Y8GeEFA2siwUWvimCamZqBj44RpLuXmqJhVGrs+bjfLUGrs\neiN0zSQ1PIOtezhpDUvX6HQDHGmiGoJ00mS+kqKcMe/TcpUyklmyLY1G26WQtfn5hxtYhkqlkKBa\nSEw0gSOZqdpkIXlcYu9QFuO0NMWftZvH0hUWpzN8cevgmT/7SR2kx21bJL8SdQEHoUTw6O18mqD5\nJIWnY8fIx3+VMxblzNQj998PXqtya6PJ7a02g8GItK2RttOEUk6+h6IIknZUaPlj0gSOFy8xfwyY\nukYmabJT6z33e2WSJqauIU8paXk0MbmymEMInsrAenEqzYWFHOvHJCZ1RfDuxTKXz+TZrff56Po+\nre4Q3w/RtEi26epyiUrOIWVrkyL2IULA1kGPiwt5fv5enR+8WWI+pZK1snjSY615l+6wH3mXCJWk\n6bCYnUMXOmk9i2zn+cUndeZKKW5tttGUyDNrbbPNbCVFNW/zNz85izvy+ej6AY3WgGEQYqoKuYzN\n1eXInyUMQ9rdyFtkoZpBFdDpeRT0Kc6V97m5tzV5okqO8Ws5+p3Gf58rT2MHRbY7fYZDKJVKuH6f\n6/VVzmTnqCZLfL57jb1+DVWo46LSvYknL/QpOwVeq6xgaxa363dZzi9RskrUpML19QaSKBmlKYKU\nY0T/HvqTZhlFCFRVYJkagmiy5TCGuL7e4CdXZ041MRVKScI2kGGXmxst/uLtOe7sdPjNp1vs1HqR\nvNOh14gEKUds7neZLib58RvTZNMWP/9wg3zaRFeiotiDz7rniS82djusLObIZ2xc1zvxs+YkpseK\nInC9kHrHZXUcI0RFrijGW5rJkD9GaiYIJWem0tzaiIp6re4QU1eZLibvm9KYFKgemNI4Kl+4NJ0m\nGHfEfxM8q6fO8e8VNSUdx31FHQGFnMPcKPJlelyByjYjX79izplcqI8r6sS8mkipkFJzYHp8VbvB\nYm6eSqLE53vX2Osdl1KCAwAAIABJREFUHLv6EUA5UeS18gq2YbPaWOdi4TwpJc9gGOCHcjyF4nPQ\nHPDZrRqGrjBVTPKnV6b5+MY+u/U+/YHPJzcfvvcIIGFrlLI2qqKwud9lYSodyREfaUpUBLx1scJv\nP99+6LwbuD63Nk4mw6cI+N6lCsqRos1xhKFEx6Skm5RyBfzQn8iIgcZ/rG4+JIH6LDzPdXQ0fvrk\n+h6XlwoUszbX1xsnUnpwLI1Pru8RhvLU46eYmJiYmO8WcbEl5oQ8WW7hOB3r6Dfl2KDdIGFpjPyA\nftOjknfQVIV2Lyp+3Nnt8KM3plndbLE4labTH1Jru9y4o3Bm7izk4W5jD4lkc6ePbWkUcxX0VEjT\nbTEMPMIwMp9db27yF2ffZafT4OefrtLuDjk7k2V9t40A8mmL9e0elWKBwaBLUk/z3vrnvDP3Oj89\n8yO2O7soisAPA+puE13RSJlJzmTncL0Rd1tb3G3uR54kQqWczBP6KpuNGlOJKVZSb4CQ7PV3cbQk\nZiZPGIImDKbsGVoNhY/ed3njnM+1tRphCIWsTdLW6bkeqqpQyaap5BPs1HoUswrFtEW14JBNjhMH\nx0ai0XH6Xb1/37G48xTJsEPyqagj8tQ1xZ8yIR6GkqWpFLXm4JmSjyftIH3UtgGTZMNpJe6fZ4z8\nSfsvYelcvVDhzFSGjd12rAkcE/MtQxByZbnE14+Q/3sari6Xxkrzp8NhYlJKWN9uc34uSyFjc3Oj\n+dgkSyZpcm42Sz5tsr7dju5vxyRUfD/E1hSWqknOVNMMPZ9ARmqCpq4hCKPJD//h5IepK2SSBv/w\n69v8zc/O8ev3axi6yttvLmCnRphZCy/0Jp24uqJTsMoM2jrv/aHLyKuxspjn7/79JldXSli6NknE\n393pkEoYZJImmqrwzsUSMhQIBWQIQpEgBe7Ip90d0ulFTSClvE2vPyJh67R7IYupcwDc2NuaFFIe\nlcw7fO18eZrF1Dk++rzBwlSaxekUlpXgN3c+YKV4ni/2r9EdDXh75k1M1eBa7SYtt4Mf+GiqRsZK\nsVI4xzAY8tX+KknD5nJphTsHu7xdeYe94H65UT+U+GEkeWoZKoh7fhVIie8HDx23RmeIrqnjCdLT\nSUxFCUedYtZhupzk//vtGn4QcnmpwBvnStzcaNLujSYTu+mEwdJMhp7r8f61PaYKCX70+hQffb2H\nbevHGtg/T3whJXhewJ+/NcPaTuQbdhqmx4GU3NhoP/L9Ov0Re/X+se8nAEtX74vDh14wka7LJoyH\n/EcGrvdQd3cmaWJq6rH77GXxrJ46x2GPDbGPi+EOizqzlRRf3m6wvtOmkLFOPBl+a6PJ4lSa83NZ\nmu3hI4s6Ma8moQwp2iV++/WHvLGwwqc7X9Ad9Xln9gqGonHt4FZ0Pw19NGV8Py2eZRR4fLl3k6Th\n8Eb1Mp/eucP/eOEy+wfROjmXNgl8iaoI8mmLte02+40BU8UEFxfzKEo0cVhvuwxH92TqzPHElO+H\nHLQGeH5ItZBgOAo4N5fF0KKpegAFQSXnMF+JpkyfZYkiBMxX0pSzzsSX5klICQQCFX1i8eKH0VTm\nafC44uiTOBo/haHks5sHD13PfdfHDyJ/NcfSHrie76kmnHb8FBMTExPz3SIutsSciJPKLTyoY33k\nHVicTnNnJ5ouCaVkp96jnHNI2jp7jT6dvoc79Lm4mI+Mv/sjFCEYjQJ+/0mNKytnmFoscG1njXqv\nS9/16G/7qKogm8yQ1EHVBKVUmtemz3D7uoE7KnCxJLhrbOEFIZ4fkhgvugdDn5vrI2YqDnP5Mpcr\n52n3hvzf7/830o7F1dllfnbmx6w3N2gNO3RHPT7Y/Jyh790nSSQVQd/1MTAZjgx+s7aBlGAbBn99\n6SrtmokceWSSFqMhfHw96q7Jp0xUVVDKOlimNjG5TydNFqczLFZTBKHk7FQaXVMmrz9Oy/XocXr0\nsXgyhqZimdoL0RR/FlQheGulzEdf77F9cPKEyEk6SL9JXuQkRiphxJrAMTHfQsIQqnmHYsZ+Ll+U\nQ1+s02zKPNptLiWTIsQ7Fyv4gWR1q0W3Hxn2qoog6RgsTWdQVUG7O+TuTufIez2m2zwECO/z/5Dh\n45MeqoAz0xk++nqfv/v3m/wPPz7DYOTzX/9lCynhR29WSaYEuibwfEmnI/mnT/YQAt48X8I2NP7u\n32/C+H0UcX8iPvIMG93nCXbUc6zZcfGOFIGmigmm8jYHmgJCUGsNWF0bMDt9lsKZLDf216l1u8d+\nFwkUkknOl+Yx/QIfftZECJguJMgnTRRFsFJY5hdrv+Pq3HnaozYfbn1G3xuyUlyikiyhCw1P+vSH\nA/5t9Tc4usnrlYukjTTvrX3Fny28S1K3aY0Nnh86BhJGxxS1HkWU3D+9Z4quKiQsjZlyki9v17i5\n0UIQSfBkkgYzpSSlrI0ixhNXQ58PvtqdSOp0eiOEgO9dKKOpyiOT7c8TX1xZjiQ4T8v0eBRKPry2\nd6LCT2/g8cWtA+qtAVcvlDHGvnp+KI+N/YJQ0nNPJpd2bjaLH8pH7rOXw7N76jzI4ya0dVWhkLXZ\nbw4mk/m1lkut5Z5oMhyi6b5Cxo68Nb7RfRbztBiaRuhpXCwu80+f/Ya/uPgmjVGD9zc+oee5XC6d\nZypZnni29EYD/uXWr0noFm9OXSJn5Pinzz7kz5d+SDDSaPWjZ/aV5RKb+x2QklzK5NZGNKG5ddBD\nEYLZYpLffL5NPm1ip8yJ1JfnR15ZMpTYljZpTHSHPmemMhx9oEspySR03n19io29zngK8eTfXYjI\nG+vd16fIJPTnOm9fVnH0SRwXPz14Pc+UdVRFIQhD+q730PUMLyZ+iomJiYn5bhEXW2JOzEnkFo7q\nWB/VcpdAwtTZ9QcE465HKWG33idhacyWU4z8AHfk8+b5En/785t4fsB8Jc1eo08ubfHLD/aYKSe4\nfO5NjJkRq/W7tN0+QRCgSpWksFnMzVNNFbj2eZcPr20z9EKqBYf/7k/epe210cNV0imFrutRTmew\ndJOF9Bx6x2Ehm+LL/udowsAPJB/c/ZqRJ2l7XfpBH9+XiFBHBhKQpEwDR7cp2iWajZBWx6fn3kuM\nTWcKHOxqvPfZHglLJ5MccWY6zbnZLINRZKhpqArkHr0gP6pHf9LE+NHjdNyxOAnZlMlcOXniiZCX\ngaEI3l4ps7p9eh2kf+zEsloxMd9OUpbGlQtl/vW9O8/8HlculElZD8ttPQ/HJVSOFiEWKqmHihC1\nZv++IsQhz5NQOQ4FwaUzBX7+wQZ7jQH/7y9XWZpJ84PLU5iGyle3azS7Qzw/jAomSZM/e2sWd+Tz\nxWqN1c3oOVnO2Vw+U0AZm5U8mIh/0BPsOA4L/QqCbMKk1R3hWDozpSQff7VPIZ3g4tQbWDM+a411\nOsMBfhCgqSopM4pl3I7G1h2PWrvBYBhwdibD8mIeU4sKULOJeS6VGrx/50uydoofzX4fRYVrB7fY\n6uzhhx6aopO10/z1uT8lDODW/hbXB1u8UbnEbGJ+0jTimBr94bObkTtmtJwYeafnV6EoMFtO8t6X\nu9zeio6NJNr/taZLoz1E15SJrwxEcdLIDyYJslsbTeYrKd5eKfC4QtDzxhenYXrsy5MXWo4SnZd7\nvL1SRhNQLTgEYfjcnkpThWczqD4tnsdT5ygJW3/ChLZkrpLkt59vP/SKOwpOPBl+c6PJWxdKfJP7\nLObpUZDYhkbZnOFCfpl//OxDZnMFfrLwQ4Qi+WLvBhvtnfvup//98k+RoeCLjbv8rnGb18sXKZsz\nGLrKjfUG1YIT3VPH3iiOpTFVTHBrs0XS1tk66FEtJlgaNyH6gZxI+2mqIDn2w0raBlJKNvc6/NX3\nFyhmrPuS/1KCqatcXMzx/UtV3vtyJyq4wONPw/EtU1UE379c5eJiDlNXn1PF4OUUR0/Co+Knw+tZ\n19TIL3Zc3DqOFxE/xcTExMR8t4iLLTEn5qRyC4c61g9quTu2jq4J/AcWmz3Xxw8GmIZKyjHIpQzm\nKylu3G3gB+FES7mYtdnY69HueWiqYL46z4wpUHTwfMmgKdloK3RTA1Y3W2iqwtALSTkGq+su73/V\n4CdXLzGTs/lirUYagT+AT+8MaHU7/Otvd/jT783x54sldt0dat02ncGAhewZ1jvrfHFwB1M1SakO\nlqFTzqQJRjpf3mw89J3OlqaYc87yu49qmLqKbapkkyYKkezI8myGdy5WCEN56hMHR4/To47F40g5\nBhcX81xZLr1yhYpn9juJiYmJ+Rbh+yFvni2wudflq7XaU//+pTMF3jxbeAGJgkcnVE5ShDjKafmB\nTbZMSgppk8tLeVqfRs0Wq5ttVjfbpBM6l87kqeYTaJrA9yVdd8Q//W6Ndu9eItfUFS4v5SmkzUkR\n6HkT8ZauYBoq5ZwNSPaaA9a2Why0VBxLp5hbIGsqqJYk8AVuP+TzzRF9t8/IC/ADSTlnc+V8ifPT\n6clzrZRMsjxcAQk3G6v8evUzDEXnXHmG+dQsqqIShAGD0Yjf37rGKPTI2WleL19iOb1CKZnEH5vG\nV4sJVjdPpu9/HNViAlWIU/WrGIyigsWdnTamrjLyo30B0VkThJLgMZ4amhrFm2vbbf7kzeknJhJP\nI7541gYHRRHcvtt6Zp+m7YMeq9sdLsxGXi6f3zp4Lk+lWnPA60vFU5WQfRZehmcfwHAUPmwa/pQM\nXJ+hFydmv21E60zJoA8L9jJhAW63b/NfP/w9CdPirfmznEkvoikKfhjSH474588+pTd0KTgZLhcu\nsmAvM+hBygzo9kd8b6VCrXmv+U5TBOW8Q7Mz5KDlomsKq5st3rpQnkjUSRlNmmiqQtLWGfkhjbZL\nf+izspDjtXNFbF156JmuKwJVUfjp9+ZAwB++3CWUcqKEcPSsF0SfIUQkYfbOpQo/+94cqqI8Rp76\nZLy84uiTeXXjp5iYmJiY7xJxsSXmqTgqt9DsHR9MHaflHoaSdMLANjQMLVo0H2IZKsWxX4lhqPzL\nH+4yU44ktLYPuhQyNhu7Hc7OZgnDkFp7SDZp8PWdFuF4ZNoPQs7OZpmqJviPD++SdAx0TeH1swWm\nign+48MNzs/nMHWd/+df1+gORmPNeDA0BcfSCEJJvR4wV5wm0UuQMPv4SpP9dovZ5CKFpTw3Djbw\nfYmBSa+l4gcBqYRJoxNpvOYTSc6X5tCGeX73UW0SNEdFpCh5c6/jlfuMR09z4uDocXoaXf1qIcHb\nK2XOzaRfuULLIafRQRoTExPzqqMrgr/+wTxCwJe3T54wuHSmwF99f/6+ycjT4lVKqBy3bZaucmW5\nxMZel/WdDiMvkh5r9zx+9/mjJTUFkfHwfDXNleXSQ12+z5OID0PJTMFhNApIOQbfWykjgBt3mwyG\nPp3ecBwLRPpX0XTGOPlG1Gjywzem+dHrVY7ahatCMJcvQHiJpJphs7tB22uxerDFKPAm22aoOnkn\nQ1rPMJOcZdqZYTafQxUCKSQCQTXn0OmN2G8+vWxdKRs9iwWcml+FENDsDam33cnkiqGrKCLEHz/z\nH4UyTlhqmjJuaJF0+iOczJPPt28qvnC98KmKIsexttVioZLC0hUWpjJ8uXrwzJ5Kl5aKr0TDysvx\n7BPc2WmTTZnsPVAsPpQdMnUVZZyMHnoBu7XeQ7JD2ZTJne02M/lvdiIo5ulQhGBrv8c/v3eXn701\nx6y1jC4T7Bnb9IMO76/deOh+mrUyVOwpKuY0FWsGDZt/em+dn16Z5Z1LU5RyFp9evyfPGIaSjGOw\nMJUGAbWmy/pOh8tn8tG5JQRCEchQ4gchm/td/EAigJWFHH96dYb5UuLY5H8YSsoZkzuDET+5OsNs\nOcUfvtphc68brZGP/KwgWnfOlJO8c7HK0kwaEYaUM+apXOsvqzh6El7F+CkmJiYm5rtFXGyJeWoO\nuzw3awPWdzvHJlwOtdwrBYf/6U+XUBRBo+WSS1u0+x4D1wMhyKVMFCEYjnzUcaDZbA+5ud7kh29M\nU8rZdHseA9fn9laL+UoK29KptwYYmopEkrB0LizksQyVX32yiWVqJG2dpZkM5ZzD+m6bn749x8gL\n+OffRyPF6UQUWHpBiAwlmqbw5pkCCUvj//qXr/GDSGP3L39wjgsLaTb2OxT0OZbmL9H1O9ztbLK2\nWycIAhbLBS5MGeT1Cs264M4tl1qrjmVo2GY0rVMtJEi+ZGmrB7txFUU8Ule/kHW4slzkzHQGTcpv\nfIF9EmKJrJiYmD92bE3hP7+7wHQpycdf7z3Ww6WYsblyocybZwsvNFHwKiVUHkRXBOWMw7uvTQGC\nrf0uQy8gCOSx6U8BqKrA1FWmS0nefa1KOeMc2+X7PIl4VQjmqymU3ciz7sdvTjNTTvLZjQPqbXci\ngwVM8rS2qXJ+LsvbF6u8fraAecwxNRTBYimHXjPJqiWGostWd4uBPyAkREHB1mymk9OYMknGTjFT\ncCYxyFFZuGjSiKcquJSyNmdnMijitGXhBAeNAV/faWCbGtmkSbMbyYZpqkIoJZ4f3vdZQoiJrJgQ\n0W7MJk00VeHW3RaVTDRZdBJeZnwhBNQ77nMVLyHycGl0XKo5e1KgeBZPpZMVKF4eL9qzzwtC+gOP\nXMqk7/p0ByMKGYvpYhJFVbi92ZxMH2iqQsrRubBYIAxCtg661FrupKGqP/DwgtOT0ot58UgEn97Y\nx1QV/v6Xt/irHywwZS2SkAVCbcCuvo0bDAhliCIULNWmYk0hfIuMlYYQ/v6Xt0glDD5frfG//uV5\nfv7++kOfowgoZqxo3Wrr7DcG3NxokXYMrq03Jj93eOYUMxaXlgosz2dZmc899pmuCsFsJcX6bodq\n3uZ//slZ3JHPR9cPaLQGjILI/yyXsbm6XMTUNcIwRAAzldNbk76c4ujJeRXjp5iYmJiY7w5xsSXm\nmVCF4MpyiXNzWfYafb68dfDYLk8pJTN5h1zaQhHbgKTv+tRaLu4oGt0PgmjxJ5EEoeRXH29SLTpc\nmMvxzqUKn97cZ6feR1cVLp7Jk06YTBUSICR79QF3tttcXiry2lKB/tDjoNFHUaCSdzB0lYEimKuk\naHVH+EFI0tEp52zOzmRp90es77R5b6uNqghSjk4mabBbG+DoOtsHQxJ2yOJ0hrfmykzVqsxoLRpd\nF8+TGBjoqBSTMMyrZJKR2WEubVHNO5yb/WakrY7rxvX9kAvzWVTlnrRJpZAkl7YIgpB6/dlkLGJi\nYmJiTh9dEbx7sczlM3l2630+ur5PqzvE9yPD3UzS5OpyiUrOIWW/eI3xVy2h8uC2FTMmC5UkUOXz\n1Ro7tR7dvsfICyadvocdvoaukrR1qsUEry0VWKgmKT6hy/dZE/GGIlioprBtg7t7HRaqKZbnc9Sb\nA75eb9DujQhDiWVGpvArCznKOZtqzo4McB6BKgSL5SSu59DqZXFkDi/wQYQgFXRVo5ROkEmYx8Qg\n92ThNEVwfjZLKmGwc9B7rIeLY2pUiwmqOWcyzXKasnBeEDLyQ7r9Ee3ukGLWAqDZHYKIvrNq3D99\ndJgvlNwrtBSzFu3ukK57Oknw6DPEIwttz/iuzyXhdpRbmy2qOQf1Aa+hk3oqnbRA8bJ5kZ59oYTg\nMPFcSpBO5qm3XT6+sU+j8/A00H5zwOpWm1zKZHk+x9JMlnZ3iCAqpL4iNaqYE+IHAd3BiO1aj6li\ngj98uUMp77A0nUbXsjBM4QlvUgXRhU7FSTLyAm5vt9mrRb6ie40+6YTBXr3/SFN1TRFUsg6ack/1\noJy3aXaHk2JeOmmwPJfDtjQqOYfzs5kTJf8NRXCmmmKz1qfZGaIpCu9cLCHDSL5ahiAUCTLyKsml\nrfsK76fFiy6OPi3HxU+9gYcfRs/whK2/1PgpJiYmJua7Q1xsiXkuMkmTpK2Ts/UndnlGeuoWaSeS\nH0k7Bo6l4w596h0XVVXouz62oWEaKkEQslcfsF8f8PGNff7Tu4tcWMjR7o9otIc0Oi6t7hAhBElb\n49JSnoVqmiCMus16Q59rn21Taw7QVIVi1qact6nkHIQCvi9xRx4fXd/DMXXq7SGlrI2uKaQTBqau\n0ut7pJMmi1Pp+4ol86UUlVyCenvIjY0m/aGP54U4psY7K2XKBQfH0jE1ZRw4fnPSVifpxk0njJe+\nXTExMTExJ8P3Q2xNYama5Ew1zdDzCSSoAkxdQxAShry0RMGrllB5cNtmyylCGRUFt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ffI\nBa7fO8DO/jIrqd9d3dOhGWvp6VBMEsKhQW7YO8D58WmOnRhlarra9M3bLB6TLDoHT+dKOXpwkDMj\n105qnn0u6RXf4VKBlJsODuI1xNaSkBKu38nHPnuGlGyY6dPnJjlzfoqB3m6u39vP/t19dBULzNXq\nTM9Uuff+EcYnZ6/Ie4+OXOQ5T72ecHiQW68f2qR5rtZ3yMN9w734+5UkaX0YbFHbma1fO9FfV6nA\n7qFeUrLgycTUHOOTs8xWa1yowx2FhMfduIuJqVnOj00zPjlHvZ5SKCSUuwrs391HrZZyYWKaT993\njomDVc5emKS30pVPfpi1EhweqHT4RackSVJrVetZXW90YoY0hfHJOWar2Xwtp0cmOb3AzfF5F6fn\nqNbq9Pd0MToxw8WpOar1+op6gCzU02Gt1trToV5P6S4m7BvuYd9w76IBkpXcvC0Ukmw4tvFpjueB\nm1q9TrGQ/Z9HDw5mw2Ktc6v7rSJNYedAhb6erqZ6CHgNsTV1FQv0lEv0lEtMz9SYmatRKWeN/ErF\nhPjQBebmapfzX1eRwb5uBvvKXJiYZma2RnepSE+5RLmrSDFJSBpitRvZy6lVQx5KkqTlGWxRW6mm\n1wZaAOaqdaq1OvccP3fpYmh6tkaxkPD02/dRrdXZuaPMpz7/hWuOeXEKRsZm6CmX2D1UYai/woXx\nafp7uvOL4KzF35EDgx17sSlJktQuUhKOnbhAypWBlpWamcu2H+jt4r4TF3jCzbtX/M6L9XRYrWZ7\nOsz3rGi8Abqam7e1NOXzj4wtOiTZ+OQsZ0YmO35IskpXgSMHBrnn2Nk1H8NriK0pBc6cn+SW64f5\n4CdPsm9XH7V6nUdHJpmayQIZyRU9m+AL56carikLnDk/yWOuH+bM+UmO7h/YtLS3cshDSZK0tPXp\nJy+tg0Ih4f6TY9cEWuYViwkTk7PZUAp5j5UvfdJBTp69yHvveoC5ap1bDg+x2GXi1EyVhx+dYGxy\nluEdFbq7CpS6siywf3cfR/cPeJEkSZLUYvV6ncnpKtMztVUHWubNzNWYmqkxOV2lvsKbko09HZrR\n6p4Os/WUj/zHGe45dnbZHhsXp+a459hZPvrZM8x2YD24Xk85un+Afbv61rS/1xBb11y1ztjFWfoq\nJZ52+37GLs7w8KMTlwIti2m8pnza4/fTWyllw1tX1yf4sRKtHvJQkiQtzmCL2sb0XJ0HTo0t+npC\nNoRYmk9S+PQnHODBU2N8/uFsPO8P3X2Kw3sHuOX6oSXfZ2R0mpHRaYZ3VCiXihy8rp87wp6ObM0n\nSZLUbpIkyedQaG6YnPn9k1XU8eZ7OjRjvqdDKyzWS3w5p85e5BPxDLUOHAurmCQ8+dY97N+9uoDL\n/t19XkNsYfU0C+x2dxXZM9zD7qGeVe2/e7DCnp09dHcVSTe5d8j8kIfrYX7IQ0mStD4sVdUWkgRG\nxqeXbH2XAqVigenZKjfsG2CuWuf+k5cnBqzVU/7l44+wb1cvz3jCfnYNVhY91ujFWbpKBZ71lEN8\n0WOvo9vmPJIkSW2hWICh/jK1Ju9e1uopg/1lVnMfcSv3dFiul/hyTp29yPFT4xQ6sF7cXUi489Y9\n3HbT7mV7NvX1dHHbTbu589Y9XkNsYcUClLtKTE5X+bsPPcD+XX08fZlrSIBdgxWe/oT97N/Vx9/d\n9QCT01W6S8VVnWealw15uB6aHfJQkiRdyTlb1CYSjp8YXXKLWi2lv7ebkbFp9u3q4wOfPEFXqQDU\nqdayCmKtnvKvnzzJwev6efzRXVTKJY6fGGXs4izVWp1SscBgfze33biLwf5uwvXDRhwlSZLaSLFQ\npNxVotJdZHp2bcOIAVS6s+MUC0XSVcxvMN/T4RPxDKfOrjxw0eqeDsv1El+JB06OcsPeAbqLnRdE\nKCYJ4dAgN+wd4Pz4NMdOjDI1Xc2GME4Seiolbjo4yPBAxTlatoFSsUhfbzd33X2ScneRj8czDPaX\nr7iGHJ+8fA050NvN0YODTM1UOX5ilNGJGXorJe45dpbnfPERSsXVnWea0Tjk4XJDBS6l1UMeSpK0\nHRlsUVuYq9WZml56qIgL49McPbCDMyMXqdVTpmaq1GopXaUCxULKXK1OvZ61yzk9MsnpkUl6yyUO\n7x3g+n0DdJUKpGnKXLXOiS9M8OhIgZsPDbFvyAqmJElSu6jWahza08fOHRVOriLYcbWdOyoc2tNH\ntVZbdQBkvqfD8VPji04yP68dJplfSS/xlbg4Ncf58Wn2Dfd0ZP24Xk/pLibsG+5h33Bvdn2RZnNk\nZEMtpaQpBlq2gVq9Rk+5yMj4DAnQWykxOT3Hh+89TXepyOG9A+zcN0CxWKBWq3Nxqsq/3X2K2WqN\nnnKJ3kqJmdka07PZeq1eo7Do7KHrb37Iw3uOnV3zMeaHPPT3LEnS+jHYorZQT6G2TEuguWrWquim\ng0Pc9/B5ukoFynmLx0IC5a4iKVCr1S9N8jc9W+W+Ry7QVSpQSBKSBMrdRW48MMhQfzfHHrnAvqH9\n2HVakiSpPdTqACl7hnuZnK5yYWJm1ccY6i+zZ7j30vGKxdWnY2v1dFi+l/hKHTsxyr7hXjq5fpwF\nmlJKDcOEpZ0YfdrG6mnCA6fGLvWgm56tUSokDPR2kwIPnh6jnmbBtSTJJpKvlEuUu4vUavVLve4q\n3UUeODXKrdcPbepE8/NDHp67MLWmoQNbOeShJEnbmcEWtYVCAsXC8gN6jU7McHjvAPc+MMLMbI3e\nfGLA6dka9VpKkmTzunSXLl9RzzcwTPO/vTt72bmjTJLC1HSVuVr9igspSZIktU4hgampKnt39jIx\nNQuwqoDLUH+Z3UMV9u7sZWpqrqkboFulp8NKeomvlPVjdYJ6vc7Y+MwVPeiq9ZRqPWvIV+kuUmi4\nPq3X61SrNa7O6jt3VBgbn6Fer7PJE7ds2SEPJUnazgy2qC10FQv0VEqMT84uud34xVmu37eD3kqJ\nFC4FXLpKBaZmqlRrl1sfzdeD5x+LhYQ9w70c3N1Pkj9ZT9NrKsySJElqna5igVqasnNHmXOjZdI0\nG+JnZGx6yTlcKt1Fdu6o0FMuMdRfZueOMjOzNbqKhaZ7JbR7T4eV9BJf+bGsH2v7S5KE2Vr90vmi\nMaBbT2G2WqdYSIEESKktkCmG+sv0lEvM1eskLQpcbLUhDyVJ2u4MtqhNpBw9OMiZkclltxwZneK6\n4R5GJ2a5MDFzTZfvej2FNGW+alwoJFkleqDCwd19V7RuLCTJpnb3liRJ0nKyeuG/f+YU4YZh4oPn\nmZ6pcmB3P/U05fz4DLNzNdI0JUkSuruKDA+UKSQJM7NVhgfKhBuGeejUGE97fGcMF7vSXuIrO5b1\nY21/hQR27ahw7/3n2D1UAdbWg250fIZD1/W3NM9srSEPJUna3gy2qC2kKewcqNDX07XsxJ7VWkq9\nDrsGK1e0cqzWa5SKBQb7u6+4pi53FRkaKDM8UL5mysKeSmldWjtKkiRpfczXC3srXTx0aoxbDg+x\na7CH+x65wNTUHEN93SSFJG9vDmk9ZWp6jv7ebh5/02527ijz0KkxeitdDA9UOmKi95X2El8J68fq\nBKVCgeEdFbpKRUbHZ665tlxMYw+60fEZukpFhndUKBVam2e2ypCHkiRtdwZb1DYqXQWOHBjknmNn\nl9zuwvg0Rw/s4P0ff4RyV/GKVo6lQkK5VMzmbikV2DlQoVIuUSokC1Z+bzo4SCe0dpQkSdpKGuuF\nD58eZ6Cvmy967F6qtZTjJ0eZmJylVk8pFhL6e7s5emCQYjFhbGKGh0+PA3DkwGAHteJeeS/x5Vg/\nVmdIueXwEJ976Dxnzk8yOjFzzbVlrSFgUSwWruhBN5r3ghkaKHPL4SHaJc+0+5CHkiRtdwZb1Dbq\n9ZSj+wc4d2GK0+cuT/DXVSowNFChWLzcgnFooMLOHWVGxmaYmatRLCTs39XL8EAZyLYrFrKt03Th\nCmZfT+e0dpQkSe0lGy4/YXJm7tJ8c9mY/6l1E66tF45fnGX84ixdpQI37B2gWEwoAHWgVks5d2GS\nuerlOUv27+7j6P6BDgm0rK6X+FKsH6tTpCkM95c5tKefyekqE1OzzMzVLl1bDvV1UyoVKRYTinnD\nvbm5OrU0pVQsUK3V6a10cWhPP8P9ZfOMJEkCDLaozRSThCffuodPxDNMTM0x2F+mWqtz/OQYE5Oz\nVGt1SsUCB/f0c9vR3Xzq82eZma3mY3VXKDaME7ZcC57Oau0oSZLaQaGQMD1XZ2R8muMnRklJLs0z\nl+S9E3Y6rj5wZb3w1NmsIc5ctc4Xzi/de2P/7j7uCHs6bgLolfYSX4r1Y3WSSleBGw8MMj45x+lz\nXBqGr1ZPqdbqdHcXqdXqfOH8DNOzVer1lEIhmydqz3APu3ZUuNE8I0mSGhhsUdvpLiQ8OezhU8fO\n8cl4hrOjU9dsMzI2ze0376anXIIE9g33rmpSwk5r7ShJklqvlqZ8/pExHjg5eqn3QU9PN4VCQr2e\nMjU1y5mRSfp6ujhyYJCj+wc6LmBwte5Cwp237uH4qfErPreFdPrntlgv8ZWyfqxO05hnCgmcHy9x\nYWKGnnKJqZkqJ85MMDNXB1Jqeb4oFhIKScL5sWl27ajQ39vNXK3ekeccSZJ0LYMtajuz9ZSPf/YM\nj45MMpxPPjgyPk21Wr80zEapVGBsfIYn3rKbzz10gVPnLrJvV98VPVsW06mtHSVJUuvM129WchP8\n4tQc9xw7y8joFHeEPXSvpkXJNlRMEsKhQW7YO8D58WmOnRhlarpKPU0pJAk9lRI3HRxk2B5BC/YG\nWgnrx+pUjXmmkCTs6Ovm4TMTnL0wBSQUCgkJCcVCSk+5RKlYoJAk3LB/gJsODfLhz5xk364+z9WS\nJAkw2KI2U02vvBFRTKC/p0R/zwC1enppmI35+VgePj3GLYcH2TVY4fS5i/T3dLFYFbfTWztKkqTW\nuLp+s1LZzfIz3HmrN8Hr9ZTuYsK+4R72Dfcy1zBxdVexwPxcN50caJlnbyBpdebzzH0nx/j3z5xm\ndrbKYF+ZpJgwfwGa1lIgZUd/mZsPDbFzR5mHTo2Rpp6rJUnSZQZb1DYKhYT7Hx695kZENvVKesUw\nYY3zsTx8epyBvm4ee2QnO/rLnLswxeTUnK0dJUlSyy1Wv1mpU2cvcvzUOOHQoHUYLtcLSw0Vw+Xm\n6etE9gaSVqerWKCnu8jjbtzJY64f5vjJUWZma9TqKcVCQrm7yNEDgxSLCWMTMzx8evyK/T1XS5Ik\nMNiiNjI9V+eBU2Nr2nf84izjF2cZmpzlS594ENLU1o6SJKnlmqnfzHvg5Cg37B2geyXjpUo5ewNJ\nKzc9Vyc+eJ6LU3N0lQrcsHeAnkrX5Tm1puc4d2GSuWp90WN4rpYkSQZb1BaSBEbGp5cc5mAlLozP\ncG50in3DPcw3crS1oyRJaoX1qt9cnJrj/Pj0FfUbaaXsDSQt7epz9Vy1zhfOT9LT03052DI1u+xx\nPFdLkqRCqxMgZRKOnxhdlyMdOzEKi87cIkmStFms30hS+/NcLUmS1ofBFrWFuVqdqenquhxrarrK\nXG3x7t2SJEmbwfqNJLU/z9WSJGm9GGxRW6inUKuvT6W0ns/XIkmS1ErWbySp/XmuliRJ68Vgi9pC\nIYFiYX1+joUkoWDPbUmS1GLWbySp/XmuliRJ68Vgi9pCV7FAT6W0LsfqqZToKvrTliRJrWX9RpLa\nn+dqSZK0XqwFqE2kHD04uC5HuungIGDfbUmS1GrWbySp/XmuliRJ68Ngi9pCmsLOgQp9PV1NHaev\np4vhgQqp9VtJktRi1m8kqf15rpYkSevFYIvaRqWrwJEDzbUoOnJgkEqXP2tJktQerN9IUvvzXC1J\nktaDNQG1jXo95ej+Afbt6lvT/vt393F0/wD1uk2JJElSe7B+I0ntz3O1JElaDwZb1FaKScKTb93D\n/t2rq+Tu393HHWEPxSTZoJRJkiStjfUbSWp/nqslSVKzSq1OQCcLIdwJ/Ajw5cDB/OlTwF3A78YY\n/6VVaWul7kLCnbfu4fipcR44OcrFqblFt+3r6eLIgUGO7h+wcitJktqW9RtJan+N5+rTI5NMz9YW\n3dZztSRJuprBlhYJIfw88CogAVLgYbLv48b877tCCP8txviTrUtl6xSThHBokBv2DnB+fJpjJ0aZ\nmq5ST1MKSUJPpcRNBwcZHqhQ6SrYXVuSJLW9heo3KQkpWYVwoMf6jSS12vy5+nE37uLs2DT3PXyB\nCwlei0qSpGUZbGmBEMJLgFfnq+8EfjzGeDJ/7UbgrcBzgJ8IIXwkxvjO1qS0ter1lO5iwr7hHvYN\n9zJXq1NPoZBAV7EApKQpVm4lSdKWcXX9ptzbRZpCksDM5BzWbySp9er1lKG+boZ2VDi8p5+R85Ne\ni0qSpGU5Z8smCyGUgNflqx8Evms+0AIQY7wf+DbgdP7UD29qAttQmkKappQKCd3FhFIhIU2zyq0k\nSdJWNF+/6S13saOvTG+5y/qNJLWhUrHgtagkSVoRgy2b76b8sQb8XozxmkFgY4yjwN/nq0/arIRJ\nkiRJkiRJkqTVcxixTRZjjMD+EEKBbHjuxczPmlre+FRJkiRJkiRJkqS1MtjSIjHG+jKb3Jk/3rvR\naZEkSZIkSZIkSWuXpA422nZCCN8A/HW++v0xxt/fiPepVmtpkizVuWZphUJCkmRj1jox4Nbmd7l9\n+F1uL5v9fRaLhbUXClpUs+WttjfP21Jn5gPL3PW33uVtJ/4utzO/z+3F73N72cjv0/JWm81gS5sJ\nIdwCfBC4DvgI8LQV9IJZK798SVIjK6Ibw/JWknQ1y9z1Z3krSbqa5a02lcOIrUEI4W3Ai1a527EY\n483LHPcO4G/IAi0PAc/fwEAL1WoNe7YI/C63E7/L7aUFPVs2/D06UbPlrbY3z9tSZ+YDy9z1t97l\nbSf+Lrczv8/txe9ze9ngni3rejxpOQZb2kQI4euBdwL9wAPA18QYT27ke54/P9nU/jt39lEsJtTr\nKSMjF9cpVWoFv8vtw+9ye9ns7/O66wY2/D06UbPlrbY3z9tSZ+YDy9z1t97lbSf+Lrczv8/txe9z\ne9nI79PyVpvNYMsaxBhfDLx4vY4XQngZ8OtAEfgY8NwY4+n1Or4kSZIkSZIkSdo49qVqsRDCm4Hf\nJAu0vBP4MgMtkiRJkiRJkiRtHUmaOrZhq4QQ3gS8Il99fYzxdS1MjiRJkiRJkiRJWgOHEWuREMJr\nyQItKfADMcbfb3GSJEmSJEmSJEnSGtizpQVCCF8F/AOQAC+NMb6lxUmSJEmSJEmSJElrZLBlk4UQ\nisC9wGOAP48xfmuLkyRJkiRJkiRJkppgsGWThRC+Cfg/+eqDwIUV7PYDMcaPblyqJEmSJEmSJEnS\nWjlny+Ybbli+If9bTv8GpUWSJEmSJEmSJDXJni2SJEmSJEmSJElNKLQ6AZIkSZIkSZIkSVuZwRZJ\nkiRJkiRJkqQmGGyRJEmSJEmSJElqgsEWSZIkSZIkSZKkJhhskSRJkiRJkiRJaoLBFkmSJEmSJEmS\npCYYbJEkSZIkSZIkSWqCwRZJkiRJkiRJkqQmGGyRJEmSJEmSJElqgsEWSZIkSZIkSZKkJhhskSRJ\nkiRJkiRJaoLBFkmSJEmSJEmSpCYYbJEkSZIkSZIkSWqCwRZJkiRJkiRJkqQmGGyRJEmSJEmSJElq\nQqnVCVDrhRC+BPgvwDOAvcA0EIG/BN4cY7zYTsfV4kII3wK8CPgiYDcwA9wP/DPwlhjjfas8XrqK\nze+IMX5yNcfXtTb6Mzdfbp4QwtvI8uOKxRiTFR7bvCm1SLP5L4SwG/gx4OuBm4Bu4ATwfuC/xRjv\nXeK9C8B3AN8D3AEMA6PAx4G3AX8SY1xN+qRlhRC6gFcDPwcUgdfHGF+3zD4t+52HEG7L3/tZwEGg\nChwH/hr49RjjuaX/Y3U668vbg/XlrWuzyx1trNV8n6u8hv7NGOMr1iON0noy2NLhQgg/B7whX50B\nHgAGgKfmf98bQnh2jPGRdjiuFhZC6AXeBXxd/tQc8CBZwOX2/O+HQgjfE2P8szW8xcPAyDLbTK3h\nuFrcun/m5stN9xDwqRVst5vsZtDcGt7DvCm1zqrzXwjhicA/Atc1HGMKuBH4PuB7QggvijH+8dUH\nCiGUgT8DvjF/ahS4D9gHfHX+9+0hhBfEGGfX9B9JVwkh3Aq8HXjKKvZp2e88hPBC4A/IbuZUyeo6\nXcAT8r/vDyE8J8Z490r/H3UW68vbkvXlLWSzyx1trLV8n7mLZOX/Uk6sKVHSBjPY0sFCCM/jckXy\nN4DXxBjH89e+GPhj4DHAn4UQnhFjrLfyuFrS75EFWlKyFgO/HmOcAgghfBlZK8CjwB+FED4cY3xw\nlcd/TYzxbeuXXK3Aun7m5svNF2N8DfCapbbJW+9+iCzY8qtreBvzptQ6q8p/IYR+4D1kNwI+BXx3\njPEz+Ws7yc7NLwT+MIRw9wI3g99IdgN6BngJ8I4YYzWEUAReQFYXeD7wC8Arm/nHpBBCArwU+GWg\nB/hbLjfqWWq/lv3OQwh3cDnQ8k7gpTHGs/lrtwLvAJ4M/FUI4bYY4+SqPhRte9aXty3ry1tAC8sd\nbYC1fp8NPhpjfNYGJE3acM7Z0tl+LX98T4zxx+YrkgAxxn8HvpXs5v3TgG9rg+NqAflQCd+Rr/5y\njPEN84EWgBjjB4DvzFcrwPduchLVHsyX7enlZK0kjwO/2OK0SNpYLwcOk7W0fO78jQCAGOMIWfn8\nMbLGUL/SuGMI4QbgZfnqz8UY/zDGWM33reUtNX82f/3HQwgHN/Q/USf4BuC3yK4XX5Gvr0Qrf+e/\nQhZo+f7ZNTQAABUTSURBVATZzbazDe/9WbIgziRwhGyIKOlq1pel1tn0ckcbaq3fp7TlGWzpUCGE\nLwVuyVcXbE0dY/wE8L589cWtPK6W9BSybtEp8D8X2iC/OJjvzfKkTUqX2oT5sj2FEI6QtcwF+OHG\nIKmkbenF+eP/Xmj4mRhjjaz1JcBXhxAONLz8QrKbyBPA7yxy/LcC42Q3E757PRKsjlYC7gWeGmP8\nzVXMBfTi/HFTf+chhMPAs/PVN80Haa5675PA/74qnRJgfVlqA60od7Rx1vp9SluewZbO9RX54wTZ\nEDaL+cf88cvz4W5adVwtIsb4RzHGXUA5xnj/EpvOzwdR3oRkqb2YL9vT7wB9ZBP9/kOrEyNp4+Q3\ngm/OV/9xiU3nXysAz2x4fv48/sHFhj7KA7YfzFe/co1JleZ9BLgzxvjple7Q4t/5s4BkFe99awhh\n/xLbqfNYX5ZaqxXljjbOqr9PabtwzpbO9YT88fMLtfxq8Nn8sRcIwH+06LhaRoxx0cm1Qwi7yYZM\ngKx1wWolIYSvB76Z7PsqA6eB9wO/H2McXcMxtbT1/MzNl20mHxP8a8i6u/9kE4cyb0qts5r894SG\n5UXL4RjjoyGEC8AQWU/U+Vb48/svV4Z/Fvha7MWqJsUY1zLpbCt/5/P7no8xnl5m33lPAk4t817q\nHNaXty/ry1tAi8odbZA1fp9XCCHcBLwI+GJgJzBGNlToO/KehlJbMtjSuQ7lj9d0s7xK4+uHWL4y\nuVHHVXNeSZbfqywy1NgyfhXYtcDzzwNeFUJ4QYzxn5pIn661np+5+bKN5JP8/lK++qYmK6LmTal1\nVpP/DjW8vpJz8dD8PiGEMrB7FfsC7AkhdC3VEEPaAK38na+1riPNs768fVlf3r7WXO6o7d1BFty+\n+r71V5LN2/ZbwI/HGOubnjJpGXZ77VwD+eOCXfQbNL4+sOhWG39crVEI4ZuBH89XfyvGGNdwmF7g\n9cCtQAU4ALwUOE/WwuDdIYTHr0Nyddl6fubmy/byn4DHko05v+CY4Ktg3pRaZzX5r/GcutJz8cBV\nj6vZ9+r9pM3Qyt+5dR01y9/Q9mV9eftqptxRe9sB/D3ZEI+DQD/wVcBdZMOGvhx4XasSJy3Fni2d\nqyd/nF1mu5mG5d4WHldrEEJ4IfB7ZIHVvyPr4bIar84f3xNj/FTD86eAt4QQ7iIb07iXrKX+c5tL\nsdiYz9x82V5+On98a4zxwhqPYd6UWmct+a+nYbuVnovnz8Nr2Xd+/5FltpfWUyt/59Z11Cx/Q9uP\n9eXtr5lyR+3pz4H7gAdjjP/PVa/9cwjhA8A/AV8GvDKE8Nb1GLJMWk8GWzrXfFS/e5ntKgvs04rj\napVCCK8Gfj5f/QfgW5cZf/gaMcZfXOb1T4QQ/hD4QeBrQwjDMcbza0qwgA37zM2XbSKE8JXA7UAK\nvGWtxzFvSq2zlvzHlefUbmB6iUPMn4snr3qc33cpnsfVSq38nVvXUbP8DW0z1pc7QjPljtpQjPE9\nwHuWeH02hPBKsh4u3cD/BfzWJiVPWhGHEetc4/lj3zLb9Tcsj7XwuFqhEEI5hPB2Lgda3gY8N8Z4\ncYPecn582yJg9+vNsdrP3HzZPr4/f/xAjPGBDX4v86bUOlfnv/GG11Z6Lp4/D69l38b9pc3Syt+5\ndR01y99QZ7K+vLU1U+5o6/o3YP7+1hNbmRBpIQZbOteD+eNyk4MdaVg+3sLjagVCCIPA+4DvAurA\nT8UYv3eDJ8htbP3Tv+hWWk+r/czNl20ghNALfHO++meb8JbmTal1rs5/DzasL3cuviF/PA5ZCz7g\n9Ar3PZI/Prza3qzSOmjl79y6jprlb6gzWV/e2tZc7mjrijGmwPxw3OZbtR2DLZ1rfszSx4QQluoq\n/YT88UKMcSWF0kYdV8vIb+T+DfB0YAL4phjjr23CW+9pWD63Ce+n1X/m5sv28JVcHlf4Hzbh/cyb\nUutcnf8ax4pftOVsCOFmLo8l/vGGl+b3X67V7fx5/ONLbiVtjFb+zuf3HQohHFzBvlfvL1lf7kzW\nl7e2ZssdbUEhhCKwM18136rtGGzpXH+fP/YCX77Edl+bP/5ti4+rJYQQSsC7gWeQtc55Zozxr5s8\n5mtCCP+cD0m2lGfmjzPA3c28Z6fbwM/cfNkevjp/PB1j/NxaD2LelFpnrfkvxnga+HT+3Nctsd/8\neXgK+H8bnp8/jz8jhDCwSNp2Ak/NV9+7TPqkddfi3/k/A/O9XFby3h+KMV5YYjt1HuvL24j15c6w\nDuWO2kgI4ZkhhL8KIXwyhHB4iU2fyuVGjB/dhKRJq2KwpUPFGD8BfCJf/emFtgkhfBXwlHz1f7Xy\nuFrWa4GvIpvs7WtjjOvRWqOHrCX+fwohPG2hDUIIR8iGLAP4ixjj1Dq8byfbkM/cfNk2npw/3tPk\nccybUus0k/9+L3/8thDC0QX26wFelq++K8Y42vDyO8gmfW3c5mo/DnSRjV/+zhX9N9L6a8nvPMb4\nBS5PqPuKhXomhBBuBb4pX7WuoytYX952rC93jmbKHbWXR4FvJJuH5WeX2O7/zh8vAv9noxMlrZbB\nls72Y0AKPCeE8D9CCDvmXwghPBuYbwXylzHG9zW8dkMIoZr/vWa9jqu1ySsUP5OvvjLG+OFV7LvU\nd/kbwAjZeeIvQgjfdNW+zyJrRdgHjAKvWuO/oMvW/JmbL7eE2/PHuNyG5k2pbTWT/34H+CzQDbwn\nhPDEhv32k83ldAvZTeSfazxujPEM8MZ89bUhhP+c92olhNAVQvhRLtcFXuWNBLVQK3/nryRrnX4b\n8CchhEvDA4UQngL8FVAiawX7h+vwv2r7sb68fVhf7hxrLnfUXmKMnwX+OF/94RDCr4QQLs3JEkI4\nkPdW+4b8qdfEGEc2O53ScpI0TVudBrVQCOElwP8gq4TMAA8Ag8C+fJMPAl8fYxxr2OcIcH+++voY\n4+vW47hamxDCm4BX5Kv3cHkIhUXFGJ+U73uEJb7LEMLTyVoKXJc/dY5s8tI9Dc89CnxLjPGuNf8T\numStn7n5sr3lLaom89VfiDEuFBBr3P4I5k2pLTWT/0IIN5Hd3JmfpPUhsvPxUaBIdiPgeTHG9y/w\nvkXg94HvyZ8aBU4CB4H5G4JvBl6eTxwqrVkI4b3Agauenr+B9SiXJ7Of9/UxxpP5vi37nYcQnkt2\nY61CVie+P1+eH44kAs+OMZ5Y/L9XJ7O+vH1YX95aWlXuaGOs9fvMgyt/zuUhuGfIyvIusu8zIQuK\nvyHG+OqNSLvULHu2dLgY41uBO8had50GbgTKwL8AP0g298eqK5IbdVwtaLhh+TayAmy5vxXJK52P\nJRum7MNkFZWQP95F1jLkMVZO189Gfubmy5YabFieaPZg5k2pdZrJfzHGY2S93F5DNkHrMHAI+Dzw\nJuDWxW4ExBhrMcYXAc8H/obs4vNmskDuXwLPiTG+zECL1snjWLz+uHeB1y4N29XK33k+Z+FjyW6W\nP0AWZBkE/h34KeBJBlq0FOvL24f15S2nJeWONsyavs8Y4wTZHDvfTjY86DmyIMt+4D7gd4E7DLSo\nndmzRZIkSZIkSZIkqQn2bJEkSZIkSZIkSWqCwRZJkiRJkiRJkqQmGGyRJEmSJEmSJElqgsEWSZIk\nSZIkSZKkJhhskSRJkiRJkiRJaoLBFkmSJEmSJEmSpCYYbJEkSZIkSZIkSWqCwRZJkiRJkiRJkqQm\nGGyRJEmSJEmSJElqgsEWSZIkSZIkSZKkJhhskSRJkiRJkiRJaoLBFkmSJEmSJEmSpCYYbJEkSZIk\nSZIkSWqCwRZJkiRJkiRJkqQmGGyRJEmSJEmSJElqgsEWSZIkSZIkSZKkJpRanQBJkiRJWqsQwtuA\nF+WrN8YYH2hdaiRJ2l5CCP3AeL76NzHG57YyPZLUzgy2SNq2QghHgPvz1XfHGJ/fwuRIktTWrgpa\n3BFj/OQK9zuC5a0kSSsSQngx8AdNHubBGOOR5lMjSVpPDiMmSZIkSZIkSZLUBIMtkiRJkiRJ0uZ4\nOzCwyN/TG7Z7xxLbPW4T0ytJWiGHEZMkSZIkSZI2QYyxCkws9FoIYaphtRpjXHA7SVJ7smeLJEmS\nJEmSJElSE+zZIqkjhRBeB7w2X30M2cS+Pwp8N3AT0AOcAv4e+JUY4/0LHEaSJK1ACGEf8H3A88nK\n2T7gJPA+4M0xxk8tse+zgB8DngYMAmeAu4DfjDF+aGNTLknS1hBC+ArgRcCXAQeAWeBe4F3AWxfr\nJRNCqACvAL6DrIyuAw8CfwG8CahteOIlaZuwZ4skwTDwd8BvAHfm6xXgRuCHgE+FEL6sdcmTJGnr\nCiE8F4jAG4AvAnYCZbJy9vuBj4UQfnKRfX+CLCDzPGBPvt9h4AXA/xdC+L4N/wckSWpjIYTuEMLb\nycrLFwFHya5nd5A1VPg1smvasMC+g2QNGN4IPBHoz/e7naxx4r+TBW4kSStgsEWS4FXAs8huAt0O\n7AJuA/57/voA8K4QwkBLUidJ0hYVQriTrEXtDrJepC8ADgKHyHq5fBYoAr8aQnjBVfs+DfhVIAEu\nAC8hC7TsAb6C7KbSW4Brbh5JktRB3gx8V778drKGDbuBxwO/AMyRBWD+LoTQf9W+/x24I19+H/Cl\nZNfDNwI/QtZA4q0bmXhJ2k4cRkyS4BuBH4kx/nbDcyPAfwkhFIEfJrux8xKyVkGSJGll3kzWG2UM\neFaM8aGG106EED4C3E12M+eXQgjvijHOD1fyarJAC8B3xhj/tmHf94cQPgC8F/jqDf0PJElqU3mj\nhh/MV98eY3xhw8vngNeEEMbIGi8cIRs6+5fzfW/icpDmXuAbYozT+foI8NshhA8CH93Qf0KSthF7\ntkgSPAD8ziKv/VLD8vM2PimSJG0PIYQnkg1fAvC2qwItAMQYTwJ/SjYefC9Zz1Ly3qRflW/26asC\nLfP71oCf24CkS5K0VbykYfnnF9nmt4EZYBJ4RsPzz+dyo4bfaAi0XBJj/DTwjnVIpyR1BIMtkgR/\nFWNMF3ohvzF0PF99yuYlSZKkLe85Dcv/tMR2LwO6Yox785s6kA1p0r3cvjHGjwGnmkqlJElb13xZ\n+1CM8fMLbRBjvAjsiDH2xRgbGxB+ccPyUuX0e5pMoyR1DIMtkgSfXub1Y/ljbwhh70YnRpKkbeJx\nDcv3LbZRjHFugUYPtzQsH2Np9642YZIkbXUhhD7ghnx10XIWIMY4u8DT82VtFXhwid0tZyVphQy2\nSBKcWeb1kYblwY1MiCRJ20hjA4WRRbda2PAq9j23ymNLkrQd7GlYXm05C5fL2tEYY32J7SxnJWmF\nDLZIElxc5vXGVkDdi24lSdLWtuCQmiuQNCzXGpbLDcvVVR6zp2F5Zpltl3tdkqTtqJlyFi6XtZaz\nkrRODLZI0pWV1IU0BliumTRQkqRtYqxhuW8V+w01LDe2fp1sWN65yrQ03thZrqFD7yqPLUnSdtBM\nOQuXy1rLWUlaJwZbJAl2LfP6dQ3La+meLUnSVnC6YfngKva7sWH5RMPyow3Ly5W1V2sM/AwvulVm\n3yqPLUnSdvAFLvdKXW05C5fL2sEQQrLEdpazkrRCBlsk6coJfBdyc/44GmM02CJJ2q7+tWH5mavY\n72sblv+5YfkzDcthsZ1DCLtCCF+a/83P83KsYZOjS+xbYPlyXJKkbSfGOMXl8vLmvExcUAjh9ryc\nfXrD0/P7dgGHl3ir25tLqSR1DoMtkgTPXeyFEMJR4Pp89d82JzmSJLXEXcDD+fL3hBD2LLUxQAjh\nCPDCfPUY8KGGl/+hYfkblzjMy4EP5H/zgZNPAPOT9X7lEvs+k+V7vkiStF3Nl7WDwJcvtEEehHkf\nWTn7uw0vfaxheamy9vnNJFCSOonBFkmC20MI373Iaz/bsPyXm5EYSZJaIcZYA34mX+0H/jSEMLjY\n9iGEQ8B7gEr+1E/kx5g/3n8AH8xXn39Va9r5Y+wCXpyvniS7EUSM8SxZ8AfgKSGEZy+wbzfwX1f0\nz0mStD39HpeHEvuvIYTSAtu8GNidL/9Jw/Pvblj+sbxcvUII4RkYbJGkFVvoJCxJnea9wP/Ke7H8\nGdmY9QeBHwV+IN/mIeAPW5M8SZI2R4zxj0MIXwK8lKzXyN0hhN8E/gl4hOz64SayXqE/DAzlu74+\nxvjuBQ75CrLhycrA34YQfhb4a6AKPBX4BS4PXfLKGGO1Yd83An+TL/9pCOEnyFrwzgFPAF4DPBn4\ne+BrmvzXJUnacmKMHw8h/E/gJcCXAP8UQngtcA+wB/h2LjekeBj4jYZ9PxVC+Fvg68jK1b8KIbwO\n+BxZ+f5c4OfJ6gDPAq4JxkiSrmSwRZLgTWQ9/V6f/11tBPiWGOP0pqZKkqTWeBlwP/AGskDIry2x\n7QXg5THGP1roxRjjR0MI3wa8HdgBvCX/a1QHXhVjfPtV+743hPCrwE8BO4E/WGC/lwFHMNgiSepc\nLwUGgO8kayjx/gW2eQB4boxx/Krnv5+sUcRRsrL06vL0fuA/A3H9kitJ25fDiElS1rr2G4AfIqto\nngNmyCqWbwGeFGP82OK7S5K0fcQY0xjjr5PNWfYzwD8Cp8jKximy3p7vJuvZcnixQEvD8d5DNhfL\nLwN3A6PALPAgWa/RO2OMb1xk358GnkfWe+Vsvt8J4M+BZ8cY3wJcbOb/lSRpK4sxVmOM30V2Tfsu\nsh4sM8AY8BGysvwJMcZ7Ftj3FPAk4BeBe4FJYCJffiNZGf0QlrWStCJJmqbLbyVJ20zePfq1+epX\nxBjf37rUSJIkSZIkSdrK7NkiSZIkSZIkSZLUBIMtkiRJkiRJkiRJTTDYIkmSJEmSJEmS1ASDLZIk\nSZIkSZIkSU0w2CJJkiRJkiRJktQEgy2SJEmSJEmSJElNSNI0bXUaJEmSJEmSJEmStix7tkiSJEmS\nJEmSJDXBYIskSZIkSZIkSVITDLZIkiRJkiRJkiQ1wWCLJEmSJEmSJElSEwy2SJIkSZIkSZIkNcFg\niyRJkiRJkiRJUhMMtkiSJEmSJEmSJDXBYIskSZIkSZIkSVITDLZIkiRJkiRJkiQ1wWCLJEmSJEmS\nJElSEwy2SJIkSZIkSZIkNcFgiyRJkiRJkiRJUhMMtkiSJEmSJEmSJDXBYIskSZIkSZIkSVITDLZI\nkiRJkiRJkiQ1wWCLJEmSJEmSJElSEwy2SJIkSZIkSZIkNcFgiyRJkiRJkiRJUhP+f6CkMEIySGsU\nAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fade1054a10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "show_vars(df, ['Ip', 'Ucd', 'Tcd'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Most discharges with large HCR have a current around 4 kA, usually for lower Ucd and Tcd , but there is no clear trend (there are also small HXR present for small Ucd and Tcd)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 129,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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RkfGnIozIGCsHIflCpSdj5QsVyoGm9oqIiEh/KLeIyCRQEUZkjIUWgrA3ASS0llCbDYiI\niEifKLeIyCRQEUZkjDkGXKc3f80dY9BGAyIiItIvyi0iMglUhBEZY1HXIZmI9GSsZCJC1NWPDBER\nEekP5RYRmQT6ySQy1iwba+mejHRjLQ1oXq+IiIj0i3KLiIw/FWFExpi1MJ9KMJ2MdjXOdDJKJpXA\nKsuIiIhInyi3iMgkUBFGZMwlog7rq93dVVpfTZOI6seFiIiI9Jdyi4iMO/10EhlzYWjZWEmxfGn6\nXMevLEyzsZIi1BYDIiIi0mfKLSIy7lSEEZkArjF88OYiKwudBZqVhWle9BZxjbYXEBERkcFQbhGR\ncdab9uNjwPO8KPDDwA8BLvDjvu//WItjPOA7gf8CuApEgV3gT4Bf9n3/dxoc86XAH7V5Wlnf9+fa\nfO7QMwZwLJWwQkiIg0PEiUBotGZ3AGKO4aWbi9zeybF1P8txvtz0udPJKOuraTZWUgoyIiIiMnCT\nkFvq2fikXICKBWswrlU2FhlzKsIAnufdBH4F+FAHx3w78LNArPalB0ARuAb8DeBveJ73G8A3+b4f\nNBnmNaB0xrfJtXs+w8xxDEVb4KB0yNbBXfLlImEY4DguyWic9cxVMrE54iahqaN95hqDdyXN9aUU\nB7kCm9tZ8oUKobU4xpBMRLixliaTSpCIOno9RERE5MKMa255OhtbN8RiMRhM4Cgbi4y5iS7CeJ5n\nqM5k+cdAEvh94KvbOO6rgJ+vffoJ4O/5vv8XtccuA/8M+NvANwKv1sZv5Gt839/q4o8w9AKnzObR\nXe4cbnNSyj/z+OPiMW8/3mcqluTa3Brrs1dxw+464svZwtAScw3LmSTLmSnKQUhowTEQdR3AYi26\n6IuIiMiFG7fc0igbJ5MxjGOwoSWfLykbi4y5Se8J87VUZ7M4wPfUPm/HT9Q+vgl8pF6AAfB9/23g\no8Cf1b70d3tzqqOn7BR55eGf8frumw0LMKedlPK8vvsmrz78M8pOcUBnONmsBWstEccQcw0Rx2Ct\n1fRXERERGTrjkFuUjUUEVISJAJ8DPuz7/sd932/5Y9zzvBlgGSgDv+b7/uOnn+P7fgX4rdqn1z3P\nG5u+Lu0KnDKfeXiL3dxeR8c9zO3x2Ye3CJzm635FREREREaJsrGI1E16EeZl4CXf9/+03QN833/s\n+/5VIM47M2IaOf2TMn7O8xtJjmPYOrrb8UWm7mFuj62juzjO6DRWExERERFpRNlYRE6b6J4wvu9v\nd3GsBSpnPOWl2sc94O0mz0l6nvdtwFdSbegbAm8B/xb4N2c09B1qRVvgzuG5/9cCcOdwm2upNaKT\nVb8SERERkTGjbCwip010EaZfPM/7APB1tU//pe/7YZOn/jFw6amvfTHwTcAPeJ73133f/3yfTpNM\nZgrTh2383jrcx7oByWSs9ZObsATkzTFLmfkentnwqt/ZcBzD/Pz0BZ+NtKLXa7To9ZJeq18/9d6S\nduh9Iq2ycT2OG0PT50xaNhYZZyrC9Fhtd6R/Q/X/7R2a74wEkAf+G6q7Mu0B7wE+BvxD4P3AH3ie\n95Lv+8f9ONdIxO35mJWgwucP72F6MF1y6/Ae1+fWiLiDfZtWKgHFckgQhriOQzzq9OX/VSPGGFxX\nU01HhV6v0aLXS3rl6WuC3lvSDr1PRkOvc2BH2dgYzro/elHZWER6S3+De8jzvHWqBZX/BMgCX9ug\ngPIW8MNAAPyi7/uPTj3mA/+t53mbwM8BN6nurvQz/TjfSiXo+UyYfLlEvlzA9mCbwHy5QL5cYmpA\nrYtyxyXePsyzuZ2lUKwQhBbXMSTiEW6spbk8lyQ1ff7ZPWdxHIMx1S7/p7dYrAQhpUpAEFhc1xCL\nuETcSW/ldPGavV4ynCb19XL1s6Jv6tfPSX1vSWf0Pnm3Yc02/cqB7WRjY2r/abHb06Cz8STTNVT6\nSUWYHvE874uA3wWWgEfA1/m+/+dPP6+2vOh/aDHczwPfDXjA36ZPRZiDg5Oej1k2RU5OqheIbpnA\nJff4hILtb2ucwFpu7+TYup/lON+48/zdnSzTySjrq2k2VlK4PS5ezc9P47qGMLQcHp5QKIfs5wrc\n3s6SL1Se3I1JJiJsrKWZTyVIRB2FuQty+vXa3+/LRDXpoUl9vS5fTl30KYyt+vVzUt9b0hm9T6qF\nqGHNNv3Oge1k42QyVq/BkM83f96gsrHoGir9pSJMD3ie9w3ALwNJ4DbwNb7v++cdz/d963neJ6gW\nYd7veZ5pZ/vsYeDg4Di9WbrjGAenz5X+Umh55fVdHjxqHYqO82Vube6xn83zordIrA8d6o8LZfx7\n2aZBIHdSYnf/pK8FIREREZFeCazljXtHQ5ltBpEDRy0bi0j/6W9xlzzP+z7gN6gWYP4I+HA3BZhT\nDmofXSDRg/EGIuJESEZ707U9GY0TcfpXJ6zY9i+8p+3sHfOqv0tw1nzRc8g+LvIf//wBtzb3mt6J\nqasHgU+9vktJs2FERERkCJVCy8uv7Q5lthlUDhylbCwig6EiTBc8z/tu4KcBA/wvwFc81eOlG4u1\nj3nf9/M9GrP/QsN65mpPhlrPXIOwP3dCHMfw1v2jji+8dTt7x9zeyT3Z8aBbx/kyf/K5B+zud7ZE\nrF8FIREREZFuDNvNrtMGmgNHJBuLyOCoCHNOnud9K/A/1z79cd/3P+b7fqXFMVHP837V87xP1go4\nZ/mrtY+f6vJUB8payMTmmIoluxpnKpYkE0uf2ZysG4VyyNbOUVdjbN3PUig32328fY5jeOPuIW8f\nnK/W1uuCkIiIiEg3hu1m19MGmQNHJRuLyOCoCHMOnue9APxLqjNgfsb3/R9r5zjf98vABvDFwPd5\nnpdpMv43UO0HA/ArXZ/wgMVNgmtza12NcW1ujbjpzyosY2A/V2g5LbaV43yZg1zhzK0E21Eoh3z+\nwXAUhERERES6NUw3u552ETlw2LOxiAyWijDn87NU+7T8CfD9HR77o7WPa8AfeJ73vvoDtZky3wb8\nUu1Lnz71+5ERhpb12assphbOdfxSaoH12at97I5vuL2d7clIm9tZqrW4c55JLQicFM6cRNVSrwpC\nIiIiIt0Ytptdzxp8Dhz+bCwigzTRnZ08z/s9YLXJw9/hed5Hnvra1wCXgS+vfX4VeMXzPFr4Ed/3\nfwfA9/3/0/O876S6lOnDwJ96nncXyAHXgenaMX8CfMT3/e73er4AbhjlC5de4LPc4mFur+3jllIL\nfGDpBdww2rdzKwch+S6LHnX5QoVyEBI593TZ3gaB5cwUoAu0iIiIXJThzjYXlQOHORuLyGBNdBEG\neC/VwkcjS7Vfp8WA00uIVmq/Wpk//Ynv+//C87z/C/gHwJcC14Bl4BHwfwO/Dvya7/tBG2MPrWgY\n58Wl97GVvMudw21OSs17nkzFklybW2N99mrfLzKhhSDszfTW0Fq6uSkxXAUhERERke4Me7a5yBw4\nrNlYRAZrooswvu+vn+OwLbpZf/LO934N+HvdjjPs3DDK87M3uJZa46CUZevgDvlykdCGOMYhGY2z\nnrlGJpYmbhIDmWbpGHCd3qzEc4yhm1zwJAiY7s+n24JQM9VpwIZyEBLa6v+/qOsAVs3hRERE5F2G\n6WZXIxedAxtlY+uGWCwGw4w7M/BsPEqUS2UcTHQRRgYjDC1R4izFFllauUwlrBAS4uAQcSIQGqyt\nXmgHIeo6JBMRcifdr/RKJiJEXQd7znOvB4FKD/7o3RaEnhnPMRTKIfu5Are3s+QLFYIwxHWq//82\n1tLMpxIkoo4CgoiIiAAXX+RoZRhy4NPZOD4VAWPBGoonlYFn41GgXCrjREUYGRhrgcDgEsWtf+1C\nFlxZNtbS7O6fdD3SjbU03axTfhIE8t1P2+22IHRaYC1v3Dti6362YWO93EmJ3f0TppNR1lfTbKyk\ncNUVWEREZOINQ5HjbMOTA+vZeCqawHUdgiCkEJxvW+9xplwq40a7I8nEsRbmUwmmk92tr51ORsmk\nEl1OfawGgV7oNgjUlULLy6/tcmtzr+XOBsf5Mrc29/jU67uUdNdBREREhjDbnDZcOVBaUS6VcaQi\njEykRNRhfbW7gLC+miYR7e6vUD0ITCW6m5TWqyBQsZZXXt/lwaPO7sLs7B3zqr9LoCQiIiIy0Uah\nyDEsOVDOplwq40o/OWQihaFlYyXF8qXp1k9uYGVhmo2VVE/WnCZjDleXU5TKAaVyQGjBGEMnsyh7\nEQQcx/DW/aOOL3R1O3vH3N7J4Wh3JhERkYk27EWOQeRAY6p5rhJaSoGlEtqO890kUy6VcaaeMDKx\nXGP44M1FXvV32dlr/wf8ysI0L3qLXa81fdJg7DBPGFrKQcjnd44Ig5BIxCGTSpCMR4g45sy10L0q\nCBXKIVs7R12NsXU/y/WlFDFXFzwREZFJVS9yPDrMn+sf0b282dVMv3KgGsj2hnKpjDMVYWSixRzD\nSzcXub2Ta9rsq66Xzb6ebjA2NRXj+StzlMshm/cOKJYDjvNlYhGXuVScTCrecF/0XhWEjIH9XKHl\nWttWjvNlDnIFljNJrZEWERGZYBd9s6sdvc6BaiDbG8qlMu5UhJGJ5xqDdyXN9aUUB7kCm7W7FqG1\nOMaQTES4sZYm06O7FqXw2fWt1sLOo2O86xnmZmK8ee+Q7OMipUrA7sEJ+WKF5UvT1Av5vb94G25v\nZ3swDmxuZ1nOTNHrRnoiIiIyWi7qZlcnepUDG+W7ZuoNZPezeV70Fnv9RxoDyqUy3lSEEaE6bTbm\nGpYzSZYzU5SDkNCCY6pbLYLFWrouwJzVYMza6vrViANf9AVLVALL7ftZHp+UCEJLsVTh+vIsz13p\nXUGorhyE5Avdb5MNkC9UKAchEa3BFRERmXiDvtl1Ht3mwG4ayMIuf3Umzux0vPs/yJhQLpVxpyKM\nyCnVqYr2XT+oz+rH0gnHMbx1N9vyAp07LpE7LhGNOFxfSuG6BgcIgatLKVYvTREEtqchJbQQhGGP\nxrJoibOIiIjUDepmV7fOkwPbzXfN7Owd88adQz70BUvnOn4cKZfKuFMRRmRAOm0wVq6EvH1w8q6v\n5Y5LXE4ne95gzDHgOr3ZgcAxBt1sEBERkaf182bXRelFA9nPPzjiuatzzHS5rfe4UC6VcactqkUG\noNcNxnq9VDrqVjv290IyEand1RIREREZX73KdyeFCm8f5nt0VqNPuVTGnd6RIgPR2wZjNNwrqRuW\njbV0T0a6sZZGzc9ERERk/PUu393ezlIJerMEZ/Qpl8p4UxFGZAD60WCsl6yF+VSC6S6nwU4no2RS\nCW0DKCIiImOvp/muWKFUCXoy1qhTLpVxpyKMyACMQoOxRNRhfbW7uw7rq2kSUf1YERERkfHX03wX\nWkLVYJ5QLpVxpnelyACMQoOxMLRsrKRYvjR9ruNXFqbZWEld+M4GIiIiIoPQ03znGBy3J0ONBeVS\nGWcqwogMwKg0GHON4YM3F1lZ6OyCt7IwzYveIm6vOwaLiIiIDKme5rt4hFhEVZjTlEtlXKkIIzIQ\no9NgLOYYXrq5yAs3FlquxZ1ORnnhxgIv3Vwkpv3/REREZKL0Lt9trKWJaBefZyiXyjjqTelWRM50\nusFYN9sYDqrBmGsM3pU015dSHOQKbG5nyRcqhNbiGEMyEeHGWppMKkEi6miqp4iIiEycXuW7qUSE\ny3PJHp7ZeFEulXGjIozIgNQbjN3a3Dv3GPUGY4O4uIShJeYaljNJljNTlIOQ0FbXP1eXQ1msRRc6\nERERmVi9yHfXl2dJz8QJtEV1U8qlMk40501kQEa1wZi1YK0l4hhiriHiGKy12u5PREREJl4v8t3z\n1+Z6fFbjS7lUxoGKMCIDpAZjIiIiIuOl23w3nTi714mIjBctRxIZsHqDsds7ObbuZ89cQzydjLK+\nmmZjJaUCjIiIiMiQUr4TkXapCCNyAZ5uMHZv74RiOSAIQiIGNRgTERERGTFqICsi7VARRuSCnG4w\n9vz1eSqBpVIJOTkpqsGYiIiIyAhSA1kRaUVFGJELZi1EXId4zCEIQkqFElbdxURERERGVjXKVRvI\nvvM15TsRUWNeEREREREREZGB0EwYkRFV7eNmmk5zHdaxRURERGQ8dZIhlTdlUqkIIzJiHMdQKIfs\n5wrcrjUgU4szAAAgAElEQVR8C8IQ13FIJiJsrKWZP2fDt36OLSIiIiLjqZMMCShvykRTEUZkhATW\n8sa9o6ZbH+ZOSuzun5xr68N+ji0iIiIi46ndDDkzFeWFG5c5Oi5yZ+dIeVMmloowIiOiFFpeeX2X\nB4+OWz73OF/m1uYe+9k8L3qLxJyzL179HFtERERExlO7GdIYuDSX5I8+fZeDowLLl6Zxz4iQypsy\nztSYV2QEVGz7RZLTdvaOedXfJThjYW0/xxYRERGR8dRJhryylOK1rQPuPDgid1LiwaNj2kmQypsy\njlSEEekTY8AYQyW0lAJLJbQYY+h0RqXjGN66f9RxkaRuZ++Y2zs5nAZ3EPo5toiIiIyfXuUbGW2d\nZMjUdIz9oyJ3Hhw9+VrupMRBrohp442jvCnjRsuRRHqs181tC+WQrZ2jls87y9b9LNeXUsSemvfZ\nz7FFRERkfKh5v5zWSYZMz8R5+bWHz3z9MFckPRM/c1lSnfKmjBMVYUR6qNfNbY2B/Vyh4VidOM6X\nOcgVWM4kn2z518+xRUREZHyoeb+c1kmGjEYcKkFI9nHxmcdKlYBCscJMMtIyQypvyjjRciSRHimF\nlpdf2+XW5l7Li1K92dinXt+ldObdIsPt7WxPzm9zOwucDkT9HFtERETGQX/yjYy29jPkXCrB7fvN\nZ8zs5wq0myGVN2VcqAgj0gOdNretr6fefvuYT722y0GuQKUSPPO8chCSL1R6co75QoVyEA5kbBER\nERl9at7/DvXCeUcnGdJ1DY9PSk0fr1RCgjYLdsqbMi60HKnG87wo8MPADwEu8OO+7/9Yi2MWgH8I\nfA1wA4gB28B/AP6p7/ufO+NYB/hbwLcALwIZIAu8AvwS8Ou+74/PlWuMOY7hrbvZtgJK/eKdL1Rq\nhZeQt3ayBNZyOTPF8vwUUzH3yXrq0EIQ9uZiE9rqeO983r+xRUREZLR1km8aqTdT9a6kR7pHjHrh\nPKuTDGmAyhmFE2tpa5ek6vdV3pTxoCIM4HneTeBXgA91cMwHgH8PXK596S6QB94DfBvwLZ7nfdT3\n/V9rcGwc+E3g62tfygJvAsvAV9R+/U3P877R9/3mpWMZCu02JrPA/lGBw1yR0lOzXl7f2ic9E+f/\nu/UAB/tkPbVjwHV6M2HNMYbTTeX7ObaIiIiMNjXvVy+cZjrJkBaIuM2fa0z7C4yUN2VcTPRyJM/z\njOd5/4Dq7JMPAb/f5nEzwO9SLcB8Fnif7/vXfN/3qBZS/jXVAtcve573vgZD/BTVAkwR+FZgwff9\n99bG+yagAHwE+Inz/+lkENptTBZY2H77mN2Dk2cKMABHxyXKlZBoxHnXemocQzLRm1ppMhEheuoi\nGHWdvo0tIiIio6vXzftHsS6hXjjNdZIhg8AyMxVr+ngk4uC2WVlR3pRxMenv4q8Ffpbq/4fvqX3e\nju8GrlKd+fJ1vu//ef0B3/f3gf8a+DTVQsxPnz7Q87zrwHfVPv0h3/d/2ff9Su3YoDZz5gdrj3+v\n53lr5/mDyaC0bkwWUp2S+zh/9qSmze1DZqffuUjt7B3z2b94m/espXtxotxYS/PuCZ+Wjb6NLSIi\nIqNrspv3qxdOK+1nyMNcgY3V2aaPz6cStJshlTdlXEx6ESYCfA74sO/7H++gB8u31j7+r77v33v6\nQd/3A+Cf1T79Cs/zVk89/M1Ue848Bn6+yfi/AORq5/d32jwnuQCtGpMZYzjMFVsWYKB6F8V56lbR\n3Yc5wtAynWx+B6Ed08komVTiXVv6WVu98E0noz0fW0REREbXJDfvdxzDW/ePuu6F44zxuplOMmS5\nEhJxHdIz8Wcei0VcEvHW21OD8qaMl0kvwrwMvOT7/p+2e4DneVeB52qf/vsznlp/zAH+2qmvf1nt\n4yd93z9pdKDv+3ngk7VPv7zdc5PBa9WYrBJaDnPFtsYKAotpcMG+8+CIa8upc58jwPpqmkT02b/u\niajD+mp3s2GajS0iIiKjaZKb9/eqF06hPDqFp/PoJENmHxd57srcM1+fS8WJtFmsUt6UcTLR72Tf\n97drBY9OvP/U75vufuT7/kPgsPbpFzY4vumxNa83OFaGzFmNyYyBfLHSsAdMI65rsA1SysNHJyzO\nJ1lZmD7XOa4sTLOxkmrYsT8MLRsrKZYv9X5sERERGU2T2rxfvXDa10mGzB2XmJ+Nc335nWVJqakY\nmVQc28bUFuVNGTfaHalzV079/pmlSE+5B8zVj6ntirTQwbEAi57nRX3f7+5q0EAmM4UZ56vDAFSC\nkLl0kkqDa0JoLblHeaIRt/VApjrN0mJJNlh69NZOjr/ygTVeeX2Xh/sNJ1A1tDQ/xUtfsMjs9LNT\nQE/7z16M8qnX+jP2OKpPMXYcw/z8+QpYMjh6vaTX6tdPvbekHaP4Pjkr33RqLp1kPjN15g45w6IS\nhHzqjUcNs1in7u2d8Pz1+bb+3KP4HqlrN0M+OiryvucWiERcHmXzrF6eJh5t/U/RSc6bMr5UhOnc\n6XUhrf7FWn889dTHTo6tH7ff+tQ6E2mnOCBncl2H567OsX9UeOaxSjmkEoZtF7purM2ROyk1XENc\nKAUkYhH+yvtWeOPuAVs7OfLF5mu1k/EI6yspnr+aObMjfV1mNtm3sceZMQZ3RLfdnER6vaRXnr5+\n6r0l7Ril98lZ+aZTz12dIx4bjX9yFEoBxXLQk34uxXJAJbDEY+0Xn0bpPVLXSYbMHpf4sg+tcXRS\n5v7bx8qbMrFG4yficEme+n2rbqv1ZiBTXRxbP77nRZhKJdBMmB5YmE2QiLmcPNXALgwtYWjbmmY5\nOxMjGnEolYOGDceCIKRSCZmZivL+5y7znpU0b2fzbN7LUihWCK3FMYZEPMKNK2kup5OkajstBW02\nw0vGI30be9w4jsEYg7VWU2NHwKS+Xu4I3HUeVfXr56S+t6Qzo/o+aZZvOjGViLAwmxiZvFCuBFQq\nYU9ep3p2a+fPPqrvkbrzZMjc1dJQ501dQ6WfVITp3OkZKjHgrFsEiaeOefrYsyRO/b79NSIdODjo\ny7DnZgzgWCphhZAQB4eIE4HQDHUndMcxLM9PcWtz711fDy2EQUi5jZ4wz12Z4zhfxlrIN9hJKWLg\n5KRIqfDOY5lkhJeeX6AchIS2un476jqApVwss188/wq2fo49Dubnp3FdQxha9vfPt3uCDM6kvl6X\nL3fX0Fuaq18/J/W9JZ0Z1fdJs3zTiY3VWYJyhf39am4Y9qxXCS3lUqVhFutUo+zWzKi+RxrpJEMO\nc97UNVT6SUWYzuVO/X6as4swM7WP9RbrTx97lplTv++uRfuQcxxD0RY4KB2ydXCXfLlIGAY4jksy\nGmc9c5VMbI64SQzl3YF6Y7JHh/l3bWfoOoZIxKFYPrsIs74yy6V08sy1tMlEhKjrvGtWTfW39l1d\n5duZddOOfo4tIiIiw69ZvmnX6Waqo5L1oq5DMhEhd9J9EaZRdpsEnWRI5U2ZVCrCdO7zp35/BXh0\nxnOv1z7eBvB9v+R53gNgmXc3+G1kvfbxru/7558HOuQCp8zm0V3uHG5zUnp2o6rHxWPefrzPVCzJ\ntbk11mev4obRCzjTs7nG8MGbi7zq77KzVw8qlkwqcWaH/fWVWbzrGR48Oj5zadiNtTRw/otSdWjT\n8E6DrnUiIiLSSON809rKwjQveou4xgx11ns6H7mO5cbaHG8fnHSdj7rNbiIyvlSE6dxnT/3+Lz31\n+ROe5z3HO71gXnnq+OXasWepb2X9ypnPGmFlp8hnHt5iN9d6mutJKc/ru29ykD/kA0svEA2Hr0N6\nzDG8dHOR2zs5tu5nOc6XScYjxCLuM9tUp2fiPHdljvnZOHd2jkgkYk23MZxORsmkEucKA45jKJRD\n9nMFbm9nyRcqBGGI61Tv9GyspZlPJUhEnaGcZSQiIiIXq1G+aWY6GWV9Nc3GSgrXmKHNemfloytL\nKSyGwFZnaJxnZkY32U1Exp+KMB3yff+B53l/SrVI8tXArzZ56lfVPuaBPzr19X8HfCXwJZ7npXzf\nzz19oOd588CHa5/+Xk9OfMgETrnti/JpD3N7fJZbvLj0vqGdEeNdSXN9KcVBrsDt+9WVZLsHJ7iO\nYWYqxsZqGtc1HD0ucvfBMy//M9ZX0+cqkgTW8sa9o6aBKXdSYnf/5JnAJCIiInLa0/lms1a4qDdT\nTSYi3FhLkzl1Y2dYs16rfHRvN8d0MsqfvbnHXCpOJhWn03R03uwmIpNBRZjz+VfAx4Fv8DzvR3zf\nv336Qc/zksB31T7933zfz556+FeB/5HqTknfBfxkg/G/F4hS7SHzGz0+9wvnOIbNo7sdX5TrHub2\n2Ere5fnZG0N5cQtDS8w1LGeSLGemKAYBt+8fcZgrEgSWR4cnlCvtdXk/vZ66E6XQ8srru22t4T7O\nl7m1ucd+Ns+L3iKxHmzLKCIiIuPl6XzTbIlzvQfMMGa9dvJR7rjE1eUUKwvTfP7BEfliheVL07S7\nc/R5s5uITA7tvXU+Pw+8TnWHo9/1PO8D9Qc8z1sBfhN4nmoR5YdOH+j7/i7wU7VPf9TzvI95nhep\nHRv1PO/vAz9Qe/wfPVXAGQtFW+DO4XZXY9w53KZoz+qJfPGsrTYXizkOG6tpDPD2QWcFmPp66k5U\nbPsFmNN29o551d8l0NxZERERaaKebyKOIeaaJ0t2TseHYcx6neSjew9z3FzPsL4yS+6kxINHx211\ndzlvdhORyTLRM2E8z/s9YLXJw9/hed5Hnvra1/i+f7/WYPfrgE8A7wU+43neHaAIbAAu1QLMX/d9\n/16DsX8SuAF8C/CLwD/xPO8+sAbM1p7zz2u/xooxcFA6bNiYrRMnpTwHpSxLscWRWG/bzXrqTjiO\n4a272XPtYgDVQsztnRzelbTu4IiIiEjHhjHrdZqPrIU7O0c8f3WOS+kkb9475CBX5NJsomGPGC3t\nFpFOTHQRhmoB5XqTx5Zqv06L1X/j+/6m53nvA74H+AjVmS8R4A3g94Gf8X3/fqOBfd8PgI96nvdb\nwMeALwKeo7rT0ieAn/N9/w/P+4caao5l6+BuT4baOrjD0splCEbjYnfWeuqpZJSpZJT3rM4yFXXP\nvY64UA7Z2uluR/Ot+1muL6WItTvvVkRERKRuCLPeefKRtXD3QY7UdIwv+oIljIF8MaBYPLsXjohI\nKxNdhPF9f73L43PAT9R+nef43wZ+u5tzGDWVsEK+XOzJWPlykUpYwWX4GvQ202w99exsnGQsgjGG\n/f3jc13EjYH9XOHMWTbtOM6XOcgVWM4kR2KWkYiIiAyPYct63eaj3HGJ3HGJaMThSz6wSioZJQgb\n98IREWmHesLIQIWEhGHQ+ontjGVDQtrrrzJs6uupo64hHqn+NTwpVjgpljHGNN2u+myG29u9aSG0\nuZ2FjvcCEBERkUk3LFnPGDDGUAnh4KjI8sI0lzNTRCPn++dPuRLyubf2iThO0144IiLtmOiZMDJ4\nDg6O4/ZmLOPgjGgd0XEMhXLIfq7A7e0sFoOlWvYwWDbW0sx3OLW1HITkC5WenF++UKEchES0U5KI\niIh04KKz3tMZ67hQ4c6DI4LQMjMVY2N1lojrkH1cJHdc6mhs5SMR6QUVYWSgIk6EZDTO4+L5Gsee\nlozGiTgRbG9utgxMYC1v3Dt6V4PeZDKG4xjC0JLPl9jdP+m4yVtoIQh7MzMotBbNqhUREZFOXWTW\na5SxAguHj4uUKyH7RwXuPDgiPRPnuStzXF1Oce9hru3ZLMpHItILozmNQEZXaFjPXO3JUOuZaxCO\n1p2IUmh5+bVdbm3utVybfJwvc2tzj0+9vkupjSu+Y8B1evNX2jEG3eQRERGRjl1Q1muWsQzVXHNa\n9nGRT7/+kDfuHnJtZbbtZeDKRyLSCyrCyEBZC5nYHFOxZFfjTMWSZGLpkVqHW7GWV17f7Xj76J29\nY171dwla/GGjrkMy0ZvJbclEpNZsTkRERKR9F5H1zspYrmOINOkDs7VzhP/5A64spdo6J+UjEekF\n/RSRgYubBNfm1roa49rcGnGT6NEZ9Z/jGN66f9RxAaZuZ++Y2zs5nDNvv1R7yfTCjbU0MEIVLhER\nERkag8x6rTOWJZNqPs7WzhH7R0VS07GW30v5SER6QUUYGbgwtKzPXmUxtXCu45dSC6zPXh2prQAL\n5ZCtnaOuxti6n6VQbt7zxVqYTyWYTp5/G8doxOHqcoq5mTjFiqUS2i52axIREZFJNMis1ypjWQvJ\neIRYpHmz4DfvHZKeiZ/5faaTUTKpxEjNwh5V7+xsZSkFyqMyftSYVy6EG0b5wqUX+Cy3eJjba/u4\npdQCH1h6ATc8f6Fh0IyB/VyhZQ+YVo7zZQ5yBZYzyaYBIBF1WF9Nc2uz/f+nAKnpGOmZOJUgZPew\nwCf/dIdKEOA61SVO59mtSURERCbXILJeuxkr4hjmUnF2D04aPp59XKQSWKIRh3Kl8Q2v9dW0clCf\nPb2zVb5QIQhD5VEZOyrCyIWJhnFeXHofW8m73Dnc5qSUb/rcqViSa3NrrM9eHakCTJXh9na2JyNt\nbmdZzkzRbCpsGFo2VlI8Osy3tfTJGLiylGL/qMjLrz0kDC2rC9MUTz0nd3K+3ZpERERksvU/67WX\nsay1ZFJxTgoVHucbb0t9+36W60sp3m5QqFlZmGZjJaV/+PdRo52tTlMelXGiIoxcKDeM8vzsDa6l\n1jgoZdk6uEO+XCS0IY5xSEbjrGeukYmliZvESF78ykFIvlDpyVj5QoVyEBI5ozeMawwfvLnIq/4u\nO3vNCzHGwLWVWV7bOuDOgyNSUzGWL03TbOT6bk372TwveovEtD2AiIiItNDPrNdJxjJUiykPHlX/\nQf+0xyclXPfZbLOyMM2L3qL+wd9HpbD9zSuUR2UcqAgjFy4MLVHiLMUWWVq5TCWsEBLi4BBxIhAa\nrIVwRBfhhhaCsHkvl87GsrSTTWKO4aWbi9zeyTW9o3BlKcVrWwc82DtmMTNFJhVvWoA5rVrY2eWl\nmwokIiIi0lq/sl6nGcs1sLowzUEuwmGuSKkSPHksCO27mmVqxsVgdLN7qPKojCoVYWRoWAsEBpco\n9dZpNjjriNHgGHCd3vTAdoyh3YK/awzelTTXl1Ic5Aps1tbWhtYyOxXjpBhgQ8v1lVkijsF2EHzq\nuzV5V9IjOTtJREREBq/XWe88GcsAl2YTpGfiFIoV9nMFKpWQRCxCLBZhcX6KG2tpMuo90neOY3jr\nbrbr3UOVR2XUqAgj0mdRt9pMrNHU104lExGirtN2wSQMLTHXsJxJspyZohyEhLU7TX/8mfvMJCNY\nS0cFmLqt2trpWIOpuyIiIiL9dt6MZa3FNTCTjDCTTBGElsX5Kd5/41JtVoWtzszRP+z7qle7hyqP\nyqjRFtUifWfZWEv3ZKQba2maNeU98wxqhZaIY4hHDIePixznS11ts1jfrUkzQEVERORidJex6vnI\nMfD8lTSuqX4+oivgR0qvdw9VHpVRoiKMyCnGgDGGSmgpBZZKaDHGdPWD3VqYTyWYTna3q9N0Mkom\nlehBMOjtbk201UlGRERExk0/clMnhi9jSfuUR2VyaTmSTJxqMDBPluY4BuJRl0I54NFRgdu13ilB\nGOI61WmuG2tp5rtYG5yIOqyvprm1uXfu815fTfdkbfKgd2sSERGR8eI4hkI5ZD/Xn9zUiWHKWP3U\nKL9GXYf60qlRozwqk0xFGJkYjQJDaENWL6c4yBXZO8wThPaZJrW5kxK7+ydddckPQ8vGSopHh/lz\nNR9bWZhmYyXVk3BwEbs1iYiIyHgIrOWNe0dNd1/sRW7qxDBlrH4YpoJXLymPyiRTEUYmQqPAYAxc\nW5nls2/ucedBtSlYLOIyl4o33K75OF/m1uYe+9k8L3qLxDqstrvG8MGbi7zq79a21WvPysI0L3q9\n237vonZrEhERkdFWCtvfTrjb3NSJYclYvTZsBa9eUh6VSaYijIy9ZoHhylKK17YOnhRgAEqVgN2D\nE/LFCsuXpmnUaL16cd/lpZudX7RjjuGlm4vc3sk1vaDW9euCepG7NYmIiMhoqtj2CzCndZObOjEM\nGauXhrXg1SvKozLJVISRsdYsMKSmY+wfFd9VgDmtfkFYXZhu2OZrZ++Y2zs5vCvpjqd+usbgXUlz\nfSnFQa7A5nYWi8FSbSmWSka4sZYm07eppdWdBHb3T7oe6by7NYmIiMjocBzDW3ez51ruA93lpk40\nyljV5ecWxxiSiX5nrN4Y9oJXbyiPyuRSEUbG1lmBIT0T5+XXHp55fO6kxEEuwqXZRMPK+tb9LNeX\nUsQaTZdpIQwtMdewnEmynJkiPhXF2uoSqeJJmXqTtX6Eg9M7CXSzLaB2EhAREZkMhXLI1k7jG1ft\n6iY3deLpjNWske2wFmBGpeDVLeVRmWTaolrGVrPAEI04VIKQ7ONiyzEOc0UqTS5gx/kyB7lC19tX\nW2uZikeZnY4zFY9ibf+73Nd3EuhGfScBuPgtKkVERKS36tf2wFqyJyVS0zEuZ6aIRs73z4de5KZO\n1DNWxDHEXPNk44Vh/8d6rwpehXJvmt72U6/zqMio0EwYGUvGwH6u0LCyPpdKcPt+exe3UiWgUKww\nk4w0vGhvbmdZzkzR7hTI5tsLDlavdhIAKAV27Dr2i4iITKqnd+MpFAPu7OYolQNmpmJsrM4ScR2y\nj4vkjjvr59FpbppEzfJrI/VcGYT2ybJ21zGcFKoFr+VMcqiLTuO+s5VIMyrCyJgy3N7ONnzEdQ2P\nO2gCtp8rMJNM0Sgw5AsVykFIpEUDtFbbC753Y4HF+SlmktG2z6tb3e4kAODfy45lx34REZFJ1Gg3\nntDCwVGBYjlg/6jAnQdHpGfiPHdljqvLKe49zLX9D/12c9OkqgRh0/x6Wn32cb5Q4SBXoFIJn/S9\niUQcMqkEb9zLsnJpGhsM94yYcd3ZSuQsKsLIWCoHIflCpeFjhupFrl2VSkgQ2oZb34XW0qr4fjrQ\nlMoBc6kE01NRDNWyThBYXvF3iUVdri2lWLuUHNgF5bw7CQQWXn5tfDv2i4iITJpmu/FYqnnntOzj\nIp9+/SHrK7N41zPc2TlqqxDTTm6aFKdnR+dOSkQjLkEYUqmcnVEtsH9U4DBXpFQJnnm8WA44zpcp\nV0LWV2ZZmR9crjyvcdvZSqQVFWFkLIUWgrDxRcwCkQ6WAFnbfNKsY0zD4kxdPdAcF8pkZhPVOxz3\nj3h8UqIShERch5mpGM9fzRCPudzdzbHzdm6gxYpOdxIoBeEEdOwXERGZHGftxmOo5p1G6r1Lnr86\nx90HuZbfp1VumgSNZkdHYxEiEQfHwFQyylQy2nC5V2CreepxvvWM7kKpwv3dHNu7g82V5zUuO1uJ\ntENFGBlLjgHXaVxoCQLLzFSM/aNCW2MZQ8NtqgGSiQhR12m4e1LFWl71d4lGHcI8vPzaw4bNgPeP\nCuzsHZOeiXPjSprEVJTP/MUuHxrgFMt2dxIAeOv+0dh37BcREZkUrXbjcZ3qEpdi+dlZF1AtxFxK\nJ0lNx1r2iDkrN02CRsu9AJIWnLKhWK7wxucPSMQjzyz3Cmm/AAPV1y0EHozQTbBR39lKpF1qJS1j\nKepWe600cpgrsLE62/ZYkYiD2+TuwY21NI3myTiOYev+EbGYi3/nkE+/3rgAc9rRcYlXXt/ljbuH\nRKMub+3kcAZ816LVTgKT1LFfRERkErS+tlsyqcSZY7x575D0TLzl92qWmyZBKbS8/Noutzb3mi63\ncR2HSMR5stzrjbuHXFuZxXEMh7li2wUYgJmpGEFQ/X9dvwk26Fx5XqO6s5VIu1SEkTFl2VhrvOVd\nuVJdBtROWACYTyVoFBimk1EyqUTDC0KhHFIoB7y2dcCdB50VLbZ2jvA/f0ChVBmqYsVZO051YtBb\nVIqIiEhj7VzbrYVkPEIs4jZ9TvZxkUpgz9y++qzcNO7OWu51mmPMuwpe9Uy4cnmGw9zZN/OetrGa\n5jD3zqxv3QQTGR4qwshYsrZaPJlusttQ9nGR567MtRwnFnFJxBtvT72+miYRffavkDHwuFBm59FJ\nxwWYuq2dI3YenXBcKA9RsaL5jlOd2tzO0nyRl4iIiAxGe9f2iGOYS5198+r2/SxzZ8yYaZabxp3j\nmI6Wcj9d8Pr8zhF7h3lS0+3voJmeiRNxDeVTTX51E0xkeAz0J6HneX/ued6m53lrg/y+MpkSUYf1\n1cazYXLHJeZn41xfPntZ0lwq3nAbxZWFaTZWUk3WpBrePsjz5r3D85z2E2/eO2T3IM+wFCvO2nGq\nU/UtKkVEROTitHttt9aSScWZScaaPufxSQnXbZxZzs5N463TpdzPFrwMf765x+rCTNtjPHdlruEy\neN0EExkOgy5H3wDWgfN19RTpQBhaNlZSLF+abvj4vYc5bq5nWF9pXIhJTcXIpOLPNI9bWZjmxTOa\n5lbCkMf5csseMK1kHxc5zpepNNnladDO2nGq87G0RaWIiMhF6+TabqhmoNRU40JMENqG/7BolZvG\n2XmWcj9d8Aqt5VG2gOs6JGLNl4TVra/MMj8bb9gkWTfBRIbDoIswr9Q+vm/A31cmlGsMH7y5yMrC\ns4UYa+HOzhHPX53jQzeX3tUjJjUVY/nS9LvuFUwno7xwY4GXbp69zZ/FsLnd3SyYuje3D7FDcsfi\nrB2nOh9LW1SKiIhctE6v7a6B1YVpFjNTz/SIqe/GU9dubhpv51vK/XTBywK3tw9ZanJjsW59ZRbv\neoZ7DxtvF66bYCLDYdBbVP8g8AfAz3me95W+798f8PeXCRRzDC/dXOT2Tu6ZLQGthbsPcqSmY3zR\nFyxhDOweFojWurA7xpBMRLixliaTSpCIOi2n0oZhyEmPlu2cFCqEYQjuxa+hru84lTtpvzN/M5O+\nRaWIiMgwOM+13QCXZhOkZ+IUihX2cwUqlZC5VJx41GVxfqqj3DTOulnKXS94JWIRCqUKuZNy09nd\n6YDO/cQAACAASURBVJk4z12ZY342zp2do6bNj3UTTGQ4DLQI4/v+/+N53kvAjwJ/5nnebwJ/BGwD\ne8BJG2Pc6e9ZyjhyjcG7kub6UoqDXIHN7Sz5QoWwXmiJR7i6OMP8bIJ41KVUDght9Q5R1HWA6rZ4\n7QQJ08Pptsb0drzuVHec2t1v+de0pUneolJERGR4nO/abq3FNTCTjDCTTBGElr/8vhWW5hJEnM5y\n0zjrdim3AS7PVZsdR6MOlzNT7B3mCUKL6xhmpmJsrKZxXcPR4yJ3HzSeAVOnm2Aiw2GgRRjP8053\npUoCH6v9apdl8LN3ZEyEoSXmGpYzSZYzU5SDsHGhJQjf1Yy30wuVY6p3iNrtgn+W+VRiaO5YnN5x\nqpttqid5i0oREZFh0u21vXott6SmoizMJnCN0T/wT+nFUm5rLfGYS7FU4dJsnPc/t4ADhEAQWB4d\nnrxrF6Sz6CaYyHAYdEGj/bbeQ87zvF8CPtrJMb7vm3Mc+3Hf97+no5OTM9UDQzeFlrNEHIfMbIJY\n5P9n786DJMu3g75/f3fJPSszq6pr61p6qqfn9qzvzVv0BEY8LAxIAoEghB1hC9tYCrCMAxmQLNnA\nizDCBIGEEAQyOACHCAzYga0QIRZbuyV4T0/z3puZN9Mzfae7qqtrX3Pf8y7+42ZWZ1Vl7XvV+UTM\nVFfXzaxbXdn9O3V+53eOTtNxT/w8IUMn0xfsKF2VgKYzcerRzOaJn6MzovK2744JIYQQV4Gs7efn\nLI5y+357bLWpkSs22MidrCJZNsGEuDouOgnzjy/4852neeD9I1w3CNwFem0vVICnhzx+6Zj3JS6d\nz4OJNJ/M51g/4UIJwXjsBxNprtKORWfi1Fa+dqJKn9s8olIIIYS4imRtP09nc5Tb0BRvvjzEk+fZ\nEz+HJMqEuDouuifMn7zIz3eebNv+EvClg66xLEsDvkKQhPmJHpd8zbbt33P2dycuk+9DJhFmfChB\nte5Qrh1/9yMZCzE+lCCTCF+5HYvOxKl37XVWNo8erN3mEZVCCCHEVSZr+/k4q6PcsYjB5HCCrCTK\nhLgRLn/kys32Q8C3ALPAX73kexEXKGJqvDSW2jFe8Kg647Ffau9YXEWdiVOv3x8kHjUPvFZGVAoh\nhBBXn6zt56Nz3Os07o2liJk6n3k4xOjgwWOqd5NEmRBXz0U35v3dtm3/xgkfGwN+wrbtP3PGt3Uu\nLMu6B/x4+90ftG27dom3Iy5Yd2mvpiBXMsiXGgf2iDEMjVQ8RF/MZOwa7FgcOnHqmKO9hRBCCHG5\nZG0/e2d53KuTKJtdKTG3XDiwuiYeNbk3lmJ6NCkJGCGumIvuCfOrlmX9DPBjx0lKWJb1HwL/CJgC\nrkUSBvj7QBz4P2zb/sXLvhlx8bpLezWlSCXC1BsO2VIdx/Hw/WAEtWEEIwfjUZOQoZOOm9dmx+LI\nE6ckSBNCCCGuBVnbz95ZHveSRJkQ199FJ2E04L8FvsuyrO8/rCrGsqw48JPAnwIUV6lD6QEsy/rD\nwB8AasAPH3LtfYJJSV8A+oEi8C7wT23bfvecb1Wcs907FoYGiWgS1/PxCV7UuqaIREziUZPJ4SR3\nB6LXIgHT7bwnTgkhhBDiYsnafrbOsopFEmVCXG/qIv8xtSzrXwPf2X7XA/4e8KO2be9pGW5Z1n8E\n/ANgkuBn1S3gh23bvtITlizL0oEPgFeBv2bb9l/scc3PEiReikCM3skwH/g7wJ+3bds7j3t1HNdX\n1+yH/eusVGmyUagxs1ig3nBwPA8fn4hp8GAizXB/nHQyLAvmNaBpCqUUvu/L9+sauK3fL12XRg3n\npbN+3tbXljie6/g6cVyPpuPiuj66rggZOoZ+NfvUXUe7Y0LP99F1jUhIZ/puijupKMn48XoKirMl\na6g4TxeahAGwLOt7gL9FcLTIB54BP2Db9q+3P54Afgr4foLkC8DPAj9i2/bWhd7sCViW9X3APwFK\nwKRt2/ke1/wsQRIG4F8TVPt8A3CBbwX+CvA72x//8fYkpvNwPSKBGyZfarBVrLOeq9JqubiuR7Xh\nYhpasPCmo6QS4cu+TSHE9ScB5PmR9VPcSIVyg418jdmlArWGg+f5aJoiGjYkRjkHjuPSaHm4noeu\naYRNDcPQL/u2REDWUHFuLjwJA2BZVhT4y8CfB0IEVTH/K/CLwN8GJghe+Dbwp0/azPcyWJb1TeBN\n4Cdt2/6Rfa75buBTwHPbtv9Jj4+HgF8Gvg1oAtO2bS+d9b1KJczFqtRbPJnP83y1SLXu7PiYUmzv\nkkXDBlMjfTyYTBOPHDydQFyO67ireZvd1u+X7OKdH6mEEcdxHV4nB8Uo3WIRiVHOw3V4jdw2soaK\n83QpSZgOy7Is4GeAb+fFrpICGsBfA/66bdv7H5i8YizL+nbgVwi+lmnbtudO8Vy/A/hy+90fsm37\n75z+Dnfa2CjJv/IXpOn5fOPx+r5d8aPREJqm8DyfWq0JvGjGJqMfr57+/ji6ruG6Htns8ScdiIt1\nW79fd+4k5R+Pc9JZP2/ra0scz1V/nRwWo/QiMcrZuuqvkdtI1lBxni71cKdt2zbw3cBXCJIvnea7\nP2bb9o9fpwRM2/e33/7maRIwbb8FdP4V/tQpn0tcIsc/fnADsLJZ4V17HVea4AkhhBDiHEiMIoQQ\nF+9SkzDtYzmPCPqgQHAsSQE/ZVnW/2lZ1sil3dwxWZYVA/5o+91/cdrns23bBzr9ZBKnfT5xOTRN\n8Wy5eOzgpmNls8LsSglNdpqEEEIIcYYkRhFCiMtxKUkYy7KmLMv6l8DPA/cIRjn/EPAywXEeBXwv\n8LFlWT94Gfd4At8ORNu//sXTPll7ylJ/+90r35BY9FZvecytFE/1HHPLBeqtcxmQJYQQQohbSmIU\nIYS4HL1GI58by7JM4L8H/geChIUCfh34ftu2n7Uv+32WZf0A8BNACvi7lmX9CYIGvR9c5P0e0+9v\nv121bfuT/S6yLOuLwF8gGL393bZtL+xz6bfwIqnztTO7S3FhlIJsqU6ldvCpOtPQGEhFMHSF50Mz\nbuK6PvlSnZbjUam1yJXqjGSiSNWvEEIIIU7rqDHKYSRGud6C+RyKluvh+aApMHUN8OX7KcQ5utAk\nDPAB8IAg+VIGftS27b+3+yLbtv+hZVn/hmBi0h8EvgB8zbKsn7Zt+0cv8oaP4TPtt48OuW6NoA8O\nBMmo/2af6/5i+22FoGJIXDuK2aXCvh9NxkOkEmEc12N2qUCl3sJxPHzfJxELMT3Wh6FrFMoNZpYK\njGRiyFRUIYQQQpzewTHKcUiMcv1omqLe8siW6sE48rqzPSY7GgnGkfcnI0RMTaY1CXEOLjoJ80r7\n7a8AP2Db9vP9LrRtexn4bsuyvg/4W8AA8MPAVU3CvNl+ax90kW3bjy3L+mfAfwr8oGVZZeCv2LZd\nBrAsawz4GwTJJ4Av2badPad7Fueo5XrUeox5VArGh5Nkiw3e+XiNQrmBaejbowlbjku2WGd+tUgq\nEebl8TSpRJiW62HIuWshhBBCnNJ+McpJ1OqOxCjXiOv7PFksMrdc6FkJVao2Wc9WiUdN7o2lmB5N\noiv53gpxli46CVMEfti27X941AfYtv2/W5b1i8D/wovGt1eKZVlRoK/97lH6t/xpYJDgCNOPAH/W\nsqxngAlM82JK1P9s2/ZPnf0di4vg+eB6O89JKwWTo318PJdjfvXwc9iFcoOvP16jMJ5m+m5KAhwh\nhBBCnFqvGOXkz+UjxRLXw3HGkVdqLR7NbJIt1GQcuRBn7KIb875xnARMh23b67Ztfy/wH5/DPZ2F\nVNevy4dd3K56+Q6Cr+cXCBI308Ao8BT4B8Dbtm3/5bO/VXFRNAW6tvOv2Phw8sgJmG4LayXe+2RD\nRkEKIYQQ4tR6xSgnfy6F/Hx+9ck4ciGujguthLFte/GUj/+/z+pezpJt26sE1SvHeYxPMMr61OOs\nxdVk6sG52lK1CQQ9YLLFxrETMACGobGerTK7UsIaT8n5XCGEEEKc2O4Y5TSiEQNT1/Dlh/QrS9MU\nzxYKpx5HLjGoEGfjoo8jdSYk/dcER4umgGFeTAE6jG/b9oXfsxAn4zN9N8V6tgpAKhHmnY/XTvRM\n/ckI4DO3XGBqOElIly0nIYQQQpzUzhjlNO7fTSFNea+2sxpHLjGoEGfjokdUR4FfBr61/Vvyt1jc\nWL4fJE/iUZNmy8VxPQrlxrGfJ2ToRMIGvi+jIIUQQghxet0xymnGVMejJplkRGKSK0zGkQtx9Vx0\nVclfAH5H1/uLwBJQv+D7EAIIFiZQtFwPzw/OSJu6BvhnssBETI17Y8FO0+zyyXYg0skwhqa2y3xl\nFKQQQgghTqsTozya2Tzxc9wbS8kY4wty8phVxpELcdVcdBLmj7ffPgW+17btb17w5xcCCM7G1lse\n2VKd2aUCtbqD63noWnBGevpuiv5k5NSBhef5TI8mcV2PR8+OMjhrp2QsRCYZ3nHOWkZBCiGEEOK0\nOjHKVr52ol4ho4NxpkeTkoA5Z6eNWWUcuRBXz0UnYV4iSJ3+OUnAiMvi+j5PFovMLRd6lmaWqk3W\ns1XiUZN7YymmR5Po6uSLja4Uk6N9RD46Xj+YZCzEyEB8z5k9GQUphBBCiLOgK8VnHg7xrr3OyubR\nEzGjg3HetoZOFR+Jw51FzCrjyIW4ei46CdP5V+G3L/jzCgFA0zv6eL5KrcWjmU2yhRpvW0OETpH1\nD2mKscE4juuRLzVoOu7+1xo66WSYTDLcs2mSjIIUQgghxFkJaYrPPRxidqW07w/7HWe1QSUOd1Yx\nq4wjF+LquegkzDzwEDlIKC6B4x99MesW7Ayt87mHJ9/xMXWNWMRgoC9CKhGm3nDIluo4jofvg2nq\nmIZGOhnG1LUdPWB2k1GQQgghhDhLulJY4ymmhpPkSnVm2sdePN9HU4poxOD+3RSZMziqLQ53ljGr\njCMX4uq56CTMzwM/RtCc9xcu+HOLW0zTFM8WCic68wzBoja7UsIaT50w8HgxClJXkIgaJKJJXM/H\nB8Jhvd1cTVGrNQ9c3GQUpBBCCCHOmuf5hHTFSCbKSCa2bwNYScCcr7OPWWUcuRBXzdnUph3dTwEL\nwI9blhW74M8tbrF6y2Nu5WTTiTrmlgvUWyc7U9s9CrLzvu/7QYmoAlPX0Y5QKiqjIIUQQghxnjox\niqEpQrrars6V2ONinHXMujsGPSmJQYU4OxeahLFtewv4A0AY+A3Lsn73RX5+cTspBdlS/cAzzkdR\nqbXIleqc9Ah0ZxTkaXRGQQohhBBCiJvnPGJWiUGFuFrO5TiSZVk/d8gls8DvA37Nsqwswcjq2hGe\n2rdt+/ee9v7EbaOYXSqcyTPNLBUYycQ4SSmmjIIUQgghhBD7cVzvXGJWiUGFuFrOqyfM93C0n1IV\nMAD0H/Fa+Zsvjq3letTqzpk8V63u0HI9jBO2hpdRkEIIIYQQopem455bzCoxqBBXx3klYeaRhIm4\nIjwfXG9vL5dgGlEEXVfbGT7X9cmX6rSc3r1fPN/ntJsAMgpSCCGEEELs5rr+npj1JPEq9I5ZJQYV\n4mo4lySMbdv3zuN5hTgJTYHe1fQ2GQ+RSoSDks/lIuVqE8f1MHSNRCzE9Fgfhq5RKDcoVZq7nktx\nwiKYHXaPglzcrNJoubiuh6GQUZBCCCGEELeMrqvtmPU08SrsH7PKOHIhLt9Fj6gW4sKZukY0YlCu\nNRkfTpItNnjn4zUK5caO6xSQKzZ4vlIklQjzYCLN5Egfi+tFOpsS0YiBqWsHjpA+qu5RkA+m+nFc\nH8fxqFYbMgpSCCGEENdaUDyh9h11LfYKGTqxqEG6L7xvvAqQLdaZXw3i1ZfH00yMJFlcK+34cz0o\nZpVx5EJcLknCiFvAZ/puimjE4OO5HPOrO8f+KRSe79N0PeoNB8/zyZcbzK8WuT+R5q37gyxvlNGU\n4v7dFGd90s73wdA1wiEN1/Vo1ptnkuQRQgghhLhomqaotzyypTqz7SoL1/PQtWBTbPpuin6psujJ\n0DVemern//2t53vi1V4K5QZff7zGvdE+rKkM8yvF7UTMUWLW4Fp/R69DiUGFOH+ShBE3nu9DJhnh\nN99f7rmgVRsO9aaD2yMQsJ/ncByP6bEUxUqDVDIsuzdCCCGEED24vs+TxeK+/UZK1Sbr2ar0G9lH\npdbi8VyW1WM0zgWYWwni2wcTaRZWS8SjJplkRGJWIa4oGfYubjxNU8yvlfacl/V9KFZaVOqtngmY\njpmlAsVqk/GhJE/mczRl10YIIYQQYoem5/POx+s8mtk8sOErBMmGRzObfO3xusRVXZ4s5NnM1Ugn\nw8d+7NxKkWyxQTIe4t5YiogpP+YJcVXJ305x49VbHnPLBTLJMIloCAiKM0vVFk3HPdJzrG5VGeqP\nMrNY4F17HfeEWwtKgVIKx/Npuj6O56NkB0gIIYQQ15jj+3zj8TqrW8er4FjZrJwqrrpJCuUGz1eL\n+L6/I2Y9jpnFPBPDfUyNJKm3vO04U0JNIa4WOY4kbjSlIFuqU6m1UMDoYJzVLVjP1Y6cgEknwpiG\nYjNfxzQ0VjYrzK6UsMZTRz7LvN/5aEPXiIZNHkxl6E9FiEeNdlJGmtYJIYQQ4urTNMWzhcKxEzCd\n0cs+sJKtMTYQax9Nup0x0Ea+RrXuAOyIWUvVvZOPduv0N6w3XVDw1Q9XqDUc6cMjxBUlSRhxwylm\nlwrb7+kKRgbitFwP1/OCxaotGjYYH44RiSgMQ6HQCOkmpXKLcq3FymaFh1Np8uUmxUqDhuNhHmFe\nda/z0Z1qmFrDIVeq8zV7nWQ8xP27KYYzMfripiyWQgghxC2lFKD5OJ6Dh4eGhqEZ4Kkrl6Cot7zt\nniRH0Z+KMDIQx/N9NvI1KpUW33y6yZNFg7Ch3cqEgeN6O+JVCGLWscE4uZJBvtQ4cPPQ9TxiUZOw\nqfO1j9eYGk5uJ3SkD48QV48kYcSN1nI9au1FCIKgplZ38D2fscEEnu+ja4qRYRMz1uB5foH1Vh0d\nRdjQSYRjTA3dpVKMks+1eLZSYmGtRCIWoj8VZXwwTtjYP0hoenvLc32C0YLdC6pp6GQLdbbyNe7e\niWNNZfhwZpOpUVkshRBCiNtC0xQNv06umWcut0Ct1cDzXDRNJ2qGuZeZIBNKE1aRK5Gg6K44Pkxf\nIsTUaB/5UpPfeG+ZrUINxw2qgpMxkzdfvkPI1Hk0u4Xn+bcqYdB0XGoNZ8/vK2CgL0IqEabecMiW\n6jiOh+8Hf/a6rhEO6biuT6PpUCg30DWFru/9M+v04ckWarxtDRE6wkaiEOJ8SBJG3GieH+wOvKDI\nleo0Wi4t1+NNK0XLzDKz9YR8NkiU+ASJmazjUWts8g33Of3xBK+P3WM4M8UHMw2yxTpbhRoPJ/u5\nN9bXM0jodT7a9YPzz+Xa/qWl3R3uZbG8XYKXkKLleng+aApMXeO2lmYLIcRt4motZooLzOeXqDZr\nez5eblTYKGeJhaJMpu9yr28C3TMv4U67qT0VHHuuUDAxnKTh+PybLz/neY9JlRv5GovrZR6Mp3nr\nlTv0xULkijWeeB4vj6cxFTd6HXRdf9+kmu/76AoSUYNENInr+e3B0z65YoNcqb5jwITr+Qc2/VzZ\nrADrfO7h0K1IcAlxFUkSRtxomgJde7EUuZ6P43homuLt11I8Kz3l2dbqjsdEwjqVukOj66hStlLm\n6wuP8bQab782wbsfFXAcj1K12TNR0ut8tMfhCZiOuZUiA6koyXhIFstbYL+eQXKWWwghboeW1uC9\ntUeslzYPvbbarPF4/Sm5Wp5PDb+O6R1/ks5Z2V1xvJtSMDnax8J6mfefbFIoN3peN5SJMj2WIh4N\n8dUPV1BK0RcPUa21eDyX4wtvjDBwg9dBXVdoh2y2BUkoH6095GGr2GCzsDdZp2sKb8/v7nSS/oZC\niLMjSRhxo5l68ENsp6mZD3i+zxsPeidgwqG9CZjtj5k6s1ur9IcbvPHgZR7PlOgsW7sTJbvPRyul\nyBfrVGrN7eZpHdo+iZWni3k+/+owpUpTFssbrFfPoG5yllsIIW42V2sdOQHTba20yfs84u3hN49c\nEXPWFZd7K453Gh9OMrNYYH6t1DMBo2uKzz4cptFy+ebTzaCPSXuJSyfCDKQiPH6eJVusMzGU3Lf6\n+LoLGTrRsEGpcvhGHYDj+eRLvRNaiVgI1z38mzm3XGBqOEmox9ElIcT5kiSMuOF8pu+mWM9WgWBd\nH0xFqRubLOTXSCXDGJoKxvcRVMqUqr3PNWeSETbzVQqlVQan0gykUnQvW51EycOJFNl8bccP1K7n\nky0FzXzrDQevXUqqCKogYlGTkKGjd+2CFMoNHNfHNDRajieL5Q3Uq2fQfuQstxBC3DyappgpLhw7\nAdOxVtpkLrrAK6mXabTcfRMr51VxubviuFsyHiJbbLCeq5Et1vd8XNcU3/rGKM+WCzxdLKApiIRe\n/GiSLzeIRQzCpk6+1CCVCN/YddDQtR3x6kE6/Q33a9Q7PZZiK3/481RqLXKlOiOZ6I0+6iXEVSRJ\nGHGj+T70JyPEoyaVWgtdUzyYjvNxYYaBdIx8uz+M5/mYho5qd6J3XJ9CuU6lXWIbCel4no/T3ll4\nurHAZ8aGqBSDs7odc8sFXhrt23E+2gdy5QYbueqOM7vbPB+30kTTNCIhnbD5IpiZbSdeNnJVWSxv\nmF49g45CjqcJIcTN0fDrzOeXTvTYzqTFj1ef41aSLCw2eiZWQqbCXiycS8Xl7orjbqlEmG/Yay9G\nJ+/y2YfD2wmYztejFHSHONlinbHBBMVKg3rDIRE1buw6eCcdJRYxqB16bD3ob9hLKhHG0BUt57AD\nSYGZpQIjmRg7/9SFEOdNkjDixouYGvfGUnw0u8lLY0la4QKffLSxIyBQQMsJRlZvFepEwwYDqQjp\nRITlrTIDqSilrkUxV60QS7RoVkM0Wy8WrkqtRaEdKEDQiDdXrLOS3ScB08XzfKr1Fs2WRiJqohSU\nq80dHe5lsbwZevUMOg45niaEENefUpBr5ns24T2MRxBf5EsNWo7L0HSBetPY/uG7k1iJREySMZNI\nSKdaP3iC0ckqLv2eFRymoeG4Ho2mR77HEZuhTJRGy91OwHQes1u96W5PssyW6iSiScC/ketgKhFm\naqSPrdzBVSyd/oa9vDye3rfvTi+1ukPL9TBuUFWRENfBQc2zhbgRPM9nejTJ6/cH2SzV+dqzJzRa\nO3dkNE3huC8WtFrDYXG9TLHa5MFEhpCh7Wg8p2uK+dIS6WRoz+dbz9ZwPX+7EW+95dJs9S4Z7aXR\ncim3d6p2d7jvLJbietvdM+gk5pYL1FvyWhBCiGtL85nLLRz7Ya4PyxsVNnJVWu0jKXO5BTJ9O2MS\nD3i6kOc331viyUKeydE+jlI4srJZ4V17HfcIZbfdFcfd0skIs8tFlKZ6xkBToyns57nt9zUV9Mjr\n9RlzpQaRkIHjeDs2tG7iOvhgMs3IQPzAazr9DXe7N9pHf1/4yH1laD/PDclhCXGtSBJG3Ao+sJat\n0nCalJs1DH3vS7/XIlRrtHqW7kbCBrVmHd3c+6BGyw0a8ZYalGtNFBx7l6bRcqk1XAxN29HhXhbL\n608pyJbqPV9Xx9E5nnaDKrGFEOJWcTyHWuvoVQuw/6TFSrO2IybpjkMgmLpoP88xPpw80ufpVJoc\nNrEHXlQcd9N1RbnaOwaKhg3CprajT4yha/uuZ82Wi9IUvr+zDvgmroPxiMlnHg4xOrh/Ikaxd6jD\nvdE+rKkMi2ulY30+TSmkCEaIiydJGHGtKfXiTHTT9XE8f/tMcYemKZ4tF9nIVulPhQiZirC5swku\nQHejFUMPRiOGQwZLG2Wajkc0EpzeC5k6kZCO4zmoHn+DXM8jHNa3u9b77Xs4rnrTIRY1d3S4l8Xy\nJlA7egadxsxSAZAXhBBCXEceHp539EpZpRS5rsRKN8dzd8QkvabnzK0UyRYbJON7q3h7OWqlSafi\nuLuCQwGO6/WMgcaHEtvroGlo3ElHGR6IMZCOto+CB31NOnzfR9GO+XZ97pu4DoY0xeceDvH6/cE9\nFUYQVGMb7aNbqUSYzz4c5sFEmvmV4rF7BkYjRruJsxDiIklPGHEtHafL/46jH54iEQmTToSJR01K\nlSZNx0PTFKYfLPDRsIHvBzsvnaM/W4UaI/1xXNcP+rUAhqbj94hNqrUWk6N9/Pv3lwHwPZ+QqVNr\nOHuu1VSw+6N1TRbQPQ/HDUpup0aSFMovdoo6i6V/DTrznvUYzJui5Xo7jradhpzlFkKI60tDQ9P0\nI19/0Fji7pjkoOk5TxfzfP7V4e0jK6ahkU5G0PVgSqQPuK5Pvl2x2T0Q4KB1XUfxmYdDvGuvs7JZ\nwSeIbxpNd08MFAkZFMoN7t5JYBiKYrlJttDC8300pQiZOoPpGL7nU6o28dv3ZRgauqZ2xEA3dR3U\nlcIaTzE1nCRXqjPTjnU7/XFee2mAeMRE1xXFcoOF1eNVwHTcv5tC+gwKcfEkCSOuHdf3ebJYPHKX\n/4F0ZLsZndtSxEMRsqpI2NAIpSI0HQ/P82m0e7dU6609R34arSCISCdC22W18VAUt7V30Td0HYUi\nlQhTKDeoNx0yyfCORmmGptB1DR+CkdW+sx3gaEoRCRtkkmGajkfLeXEz12GxPK8xmDeF5wfVUmfz\nXHI8TQghritDM4iaYcqNIzRpbydWWvuMJd4Zk+w/PadQbuC4Pv19EWJRE8f1mF0uUq42cVwPQ9dI\nxEJMj/Vh6BorW1XGBuLUmu6R1vXPPRxidqVEsdIgEQtRKJd2xEC6pngwkSZfrrOyWdrTow+gUnfI\nlRpEwzoDqSh98RC+79OfjLA7BrrJ66Dn+YR0xUgmykgmtiP5hVL8u/eX9k3KHUU8apJJRm71xpgQ\nl0WSMOJaaXpHH+tbqbX4aHYLXymmRvuYXymSKza5d3eChdw6EBSwhg09KHVVbCd1OiWvSql2HJZn\n2gAAIABJREFUpYqiVG2Sioe2Ezr3MhNsLO0tCb431sfyRpmXx9N8/fFa0FxXKSIhnUbTJRzSaTke\npWpze+S1pjp3EwQT9abLG9MDLK6Xgp0OdT0Wy+MmyI4zBvOm0BTo2tmU/srxNCGEuMY8FcQS5ewR\nLt4/sQI7Y5KDpudomsJXoHSNdz5e6zlJJ1usM79aJJ0I85mHw8xvVPj42Sbl6tHWdWs8RcPx6E9F\n+Vf/rkbI0IiFDVzX4wtvjJIvNcgVm4cOLag1XBbXy0yNJBlIRYi0K5V3fD23YB0MvmZ/R7WPpinu\nDiVPlYS5N5a6tRtiQlw2OQQorg3HP3oCpsP1fJ4t5beb0bUcD82J0heNdV0VJGDChk4sbBAOGURC\nwdtO7xhFcDypc665LxpDc6LboyA74lGTdDLMVqFGf18wahCg0XTo74sQDulU6w6lams7AbObaWh8\n9tVhpkaSGLpGJGwwkI5xfzxNxLy6f2Wbns87H6/zaGbz0KaznTGYX3u8TvOWLf6mrm33FzotOcst\nhBDXl+9DJpQmFooeeq3n+Xtijo7dMcl+03M0TfGpV4b4eHaL959sHDjKuLM39MvvzPP/vbvIQDp6\nYAPc7nW97niYmmJ8MM7DyX6GMlFenkjz7Z+bZC1XZXWrEkyXPELyxNAVxUqTQrnZM9lyW9fBXn14\njmN0MM70aFISMEJcktv3r5a4ljrNdY+TgIEXgUh3M7pC3me6f2LPtap9DEjB9n/dvHZjOIDp/gkK\n+R7jAdu7CrqmsbhW4uG9DPdG+2i0XDJ9EUKmTr3Ze+cnFjUYu5Pgd7w5yr2RJL/ytUU+nsvy4cwm\nC+slomGDess7UZPf83aSBBkcbwzmzeEzfTd1+GVHcB2OpwkhhNhfWEWYTN899Dof9u0Htzsm6TU9\nB+D16QFmFnPMLhcOzX/0JcJs5OsUyw2eH2OyUve6Hg3pTI4kKdccNKXYLNT44OkmnyzkmRzpQ9MU\nhn5wJUs0bKBpipbjkis1ULu+rtu8DupKHTpJqZfRwThvW0O3rhJZiKtEjiOdgmVZx/lX/23btt/b\n9fhB4M8B3wXcB0LAEvDrwN+0bfujM7rVa29Hc91j6A5EOs3oFtdKTKaHmczkmc+tdV3tE2kfFepV\nIqsphQ9MZobJ6MPMV2o7Pt7ZVdBQRCMGpWqT+ZUiDybSjAzEebqYJx416e8Lky02up4Xxu4k6EuE\neWm0j3jUYG65xMhAjEbTodF0KVYa/NuvzDExlOTeWN+VOsajaYpnC4VjJ2A6OmMwrfHUrdiR8X3o\nT0aIR81Tjam+DsfThBBCHMzzfO71TZCt5Vkvbe57XeeI9G69YpLO9JzufisDqQjVusPsUjEYQHDA\nPYXbjXQL5QYhQ0NTirmVIgOpKMl4aLupb8fu5r4AhZpDfq1My3HRtWDi5HtPNgAoVppUay3iEZNc\nqY6paxi6wnX9HfcVCelEwgYRM2henC81SCXCdAYnyTr4YpLS7Epp36PgHbf5KLgQV40kYc7GAnDY\ngd4dP7FblvUp4JeAO13PUQNeAv4r4D+3LOu/sG37n53xvV47SkG23aX/uLoDkU4zOtPQWFiu8WDC\nAtiRiFFAImpShj2JmJCpczc1xHhkmucLexMwL3YVgkqH9WwV34eF1RKvTGVw/eCMdq5Up1BuspGv\n4bk+D1/qZ3qsD9eDD2c2eb5apOV4REIGQ5kYrz0coF532MjVKFabPJrZJFuo8bY1ROgKVMWcNEHW\nbW65wNRwkpB++V/PRYiYGvfGUjya2T/gPoyc5RZCiJtB90w+Pfw67/OItX0SMZqmMA1tR2wymRnm\nQdraE5OATyYZ2RE3jQ0mtpMgIVPHP2DtCIcMljfLQFCJ0qk06WxmlastXM8nGQ+RToZxXZ/Z5QLl\nahPX9cikIjxZKnD/boqQofEZ6w6bhTq5UoOQqaMpj2fLBaypDF/+5goNz8PQg6+vk4iJhg1SiRAh\n40XRftNxqTccEtGgN4ysg4GDJilpKtgYvH83ReYWD0UQ4qqRJMzZ+JJt2z971Isty0oAv0CQgHkf\n+D7btj9sf6wf+GngTwD/2LKsD2zb/uDsb/k6UcwuFU742J2ByGz7h/2NXJXnCzXuj1n0x9LMZhco\n1qpAUJmSjJnUmxr1hoPr+WRicb7NepWYO8DcQnV716XXrsLuSgfT0ChWmrzzaJVISGd4IM5LY318\n7tVh7t5J8Gy5yC99dZ7FjTK+HySOIuGgkiZfbvDJQo7BVARrsp+xwTgbuQormxVgnc89vNxy0tMk\nyLrtHoN503XOcm/layeqIJKz3EIIcbOYXpi3h99kLrrAfH6JanP/xEpfNMZ0/wQZfZjnC7U966bv\nB0mMkKHTdFwiIR1N18i1m7hmkmFq9d7rtq4pPN+n3gwqWIz2JEeFIl9qUGu6bBRqTAwnKVabfOPx\nGoVKk0g46M2SToZ5slCgUG7wbKnAnXSUb3ljhHKtxdhgnGyxTgMolJs8mDR4ZTLDk4UcruejXJ9o\nWCcWMYmFjXYF8s4vLluqk4gmGR2MyTrY5aBJSp0x4r6P/HkJcUVIEuZy/BAwQVD58ods217sfMC2\n7axlWX8SeA34LPA3gO+8lLu8IlquR63unOixuwORcrWJrr9Ilswv1UjGB3n7zh08o8ZcboFKs4bj\nuQzEDaKhCJPJu7jNCHe0NM9WCySioUN3FborHdLJCLPLQaVIvenyfKXIwlqJ3/nWKL/+jUXe+WgN\n3/cJm3qwQPr+dqmvrgVHoFY2K2zkarw+PcDnXx3m+UrhihzjOU2CbKeZpQIjmRi35Wx35yz3u/Z6\nO6l2NHKWWwghbibdM3nQd5/J5F1yzQJzuXlqrQae76EpjYFYmAfph3j1MIW8v+dYdDdDU6STYdZz\nVYYH4jxbygPBER9NKdx94oZIyNhO1kRCLxIh1YZDvenw4cwmn399hN9+tMLs0osq2KbTJBE1KVVb\n2w1/gyNNTeaWi6xlq/TFQ0RCBp7vkys1eDyX5bOvDhEOacwtF4mEg4EI0ZCO5/t7EjAAjuMx1B+T\ndXAfvSYp7ddLSAhxeSQJczn+y/bbf96dgOmwbdu1LOungX8C/H7LssZs216+yBu8SjwfXK/3RICj\n6A5EXM/f0426VGlSqoBpGIz3WehRH6WB74HbUuTXmzyYTHP/bh+Tw8kj7Sp0VzqgoFzdeX76jekB\n1raCBnVjg3HiUQND13Bcj0rNYXGjRKPpbYcfng9Nx+PjuSzxqIk1mWZhtXTpx3hOkyDbrVZ3aLne\njsDhppOz3EIIIbp5no9JmOHQEMOjd3A8Bw8PDQ1TN3m6WOKbSxuHPo/v+2SSYap1h7CpU2qPl+7v\ni9Bo7r9uK03RbLlBMiQcJENK1RZNJzgGFTJ1NnLVHQmYaNhgfCjBcCZGudZiIBXBcTxWtyrBkRhN\nkS3W8f2gN02t1iIdD6E0xeJqmddfGmByKMnHc1vky01ChtZzElMqEebhvX4+c0WOYwshxElJEuaC\nWZY1AbzcfveXDri08zEN+CLwz8/zvq4yTYGunXyQV3cgomuK/dI5LcdjPVvf8/udox/KZzvZcZRd\nhU6lw7PlAo774rMOpCLEoyGUcnjrwR1mlwtsrZVpOR6modEXD/E737pLo+Ews1RgLVvdfqzjetjP\ns9xJv2iOd5nHeE6bINv5XD63sUpWznILIYTYzfcBV6Fjord/z3NgajjBerZ6pKOsiiCGiUVMHNcj\nnQgTDRuHjqY2dI1QODiG1J2AiYUN6k2XbCGIlYYyUaZGU4RNjWfLRZ4s5tnM1zENjVQixKdfGULX\nFSFTw9A1NvI1YpFg06nSdRzqnY9WGUhFeOvlO+i6xnq2SqPp4Hg+uqZIxEJMj6XQdYXneNyS9nFC\niBtMkjBnQ1mW9V3AHwUsIAysEkw5+t9s2+4+r/FW16/3nX5k2/aaZVl5IA18mluchDF1bXva0El1\nAhFdC7rvH9Vpj36ENMVLY30M98epN1wcz+MLb4zybKnI1x+vsbRR2b7BYPIBbORqzCwWGEhFsKYy\n3L+b4quPVoPz0krRcn0+nN3i2z51l1KleanHeE6bINv5XAePqbzJ5Cy3EEKIozjuUVZdQSoRYmww\ngeN6ZAv7H2EKGTrJeIhGy6XV8qg2nO0EDEAyFqJUbdAXM/mW10ZotFw+eLpJtlgnEtJxXI9aI7h+\nLVvl2XKRu3fi/K5P32VqNMlmoUa2WGdsMLFjchPAVqHOViF4nnujKUYnMyh8PMB1fbbyVVrto0im\nrskRGyHEtSZJmLPxE8BAj9//w8BfsizrP7Ft+5fbvzfe9fE9R5F2WSRIwowfct2JZDKxnuMOr6LX\npgcp1VZP/TyffThEveniAdUDjtHEIgZTI308mEwTj5hHem7H9Wg6Lq7rBzs/hr59xOjeWIpwSGfs\nTpwniwW+/P4S1bqzXW6r1N7Rk9lina98sMKDiTTf9vZd/v17Sxh6UKK7nqvi+j59yQg+inDMJBY+\n2n2eJcf1SKeiOGcQC6VTUfozMQz9bJI650lrZ4s0TdHfH7/kuxGHke+XOGud9VNeW+IozuN18rsT\nYZ7M53m+Wjw0nrk/nkbTFOvZGsl4iFyxgeN6+H6wuWPoGpm+MPGIiWFoVGoOjtuk2R4vDaDrGpqu\nMLXg+b76aJWZxaDPTLAho2i0/D3HiPLlJr/2tQW++JlxRgcSrOeqoIIJTL02FlwPFtbLGKaGqevb\nv2+YBoYJr90fJJOJncGf4NVy3v+W7BejCiEuhyRhzkYM+J8IqlXmgH7gjwE/3v71v7Qs6wvtCUjJ\nrsdVOVjn48kDrzohw9APv+iKGOqPEY+a1Bon7z8SDRuM3UmQSoSZvptiI19jdqlAreHgecGZ5WjY\nYPpuijvpKKlE+EjPWyg3djyXphR9cZOQaXAnEyUdD/H69ACxiMGTxTwfzmyiadqOAP4gTxbygOJb\nXh/l47lsO3CCT+ZzvDbdT63uBlOVLmEx1XWNlyfSZIt7j3Ed18sTacKh6/VPklJqu9GzuPrk+yXO\nyu71U15b4ijO8nXSFw/z2VeHeXkifaR4JhwyKFZWiYQNMskwjut3JWEUWldVa38qQrZYJzhtHNxv\nImqSKzb4rv/gJd77ZJ2ZxcL2x9pf3J5j0YYeHKGtNVw28zV8fO6ko+RKDfr7wtTqO6thOtq9ZffE\nSNGwwVAmdinxzkU5zmvEcVwaLQ/X89A1jbCp7fm3aXeMepp4Vwhxdq7XTzxXz19uv/0F27bf7/r9\nFeBnLMv6MvAVgiTNXwf+EBDtuu6w8zWdQ7vnkvJ3HPfaVMIkoiaTw0k+nsue+Dkmh5Mkoiau65GI\nmiSiJhNDCZqOi+eCprNjZ8B1vQN3Dir11o5dqEQseM5my+PDmS0qtRaO6xEJ6dzpj3FvNEUyElxT\nrjR7Np3bz5OFHEOZKHcyUZY3ykBQuouvto8xue7Z9GY5rsG+CJGQfuBO3GFiEYPBvsilfQ3HpWkK\npRS+78sRoWvgtn6/bvIPKpets37e1teWOJ7zfJ0cNZ7ZuVYHiZdu3fcVCent6Ukvfk/XFAOpCL7v\n8dHs1t4b8XdWwWhKoVTQb0/XFc9Xi4wMxFlYKwVHvH2175Ei1f7f7j+r7jjupul+jTRb7oFVK6VK\nk418jZmlAvWGg9vunRMJBz3k7qSj6Ibik+f7V0qVKk3Ws9UTVX7fFrKGivMkSZhTsG37rx7y8Xct\ny/rHwJ8CvsOyrAw7q19CwEElBJH228MqZk4klzuXpz03dweiLK+bR2pGt9voYJy7A1Gy2YMfWydY\nCOstj2ypHuwc1J3tXYZoJNg5SCXCvP9kk9XNMkrB+HCSbLHBN59s9Gx4t7he5p1Hq9wdSjLcH+Pu\nnQRf/XCFZisIJLoDl/2OOc8s5nnr5UEW1koANBotWi0HhU+j2qJeOXnPnNPQNMVIf4xHM5snfo7p\nsT7clkM2u/90oKukvz8eNAj0/ENfU+Ly3dbv150751JEKXixft7W15Y4nst4newOLo+1Vivoi5sU\nKy/iGR946+VB3vlovWcT/U4ioNn+mGGo7WSJ52qsblWZHO4jFQ/TaLl4nkfL6V0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KAAAg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LCHUcLthTUaZoM/Hn9yacxBmFAsGJDJRKH8At1YAvqjkEajSHc8mlUAd7p7rDVq3Ds4nB2R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\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WqlQbDmvLyZ7O9SqdAjlTKX74bI7F2Whfx1ucjfJZ+sNMS8PTfPH8gK/XD68sTW2Vzf7o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0+s6w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S/bfLrVJkkSFqdzXF0usZuaFM9UM7y0WUP7dSbay/p71+Ucelm/y7pkwnx19V8DPwb+aHNz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\nAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7faddf3d5950>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "show_vars(df, ['p', 'Tpl'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Largest HXR are below 30-40 mPa and HXR intensity is nearly quadratic in plasma lifetime."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "df_best = df.sort_values(by='hxr', ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>hxr</th>\n",
       "      <th>Bt</th>\n",
       "      <th>UBt</th>\n",
       "      <th>Ip</th>\n",
       "      <th>Ucd</th>\n",
       "      <th>Tcd</th>\n",
       "      <th>q</th>\n",
       "      <th>WG</th>\n",
       "      <th>p</th>\n",
       "      <th>Tpl</th>\n",
       "      <th>hxr/Tpl</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>shot</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>26236</th>\n",
       "      <td>152.121047</td>\n",
       "      <td>0.367324</td>\n",
       "      <td>1200.0</td>\n",
       "      <td>5.07704</td>\n",
       "      <td>400.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>3.25575</td>\n",
       "      <td>H</td>\n",
       "      <td>23.6471</td>\n",
       "      <td>23.30</td>\n",
       "      <td>6.528800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26235</th>\n",
       "      <td>146.396614</td>\n",
       "      <td>0.371751</td>\n",
       "      <td>1200.0</td>\n",
       "      <td>4.39654</td>\n",
       "      <td>400.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>3.80499</td>\n",
       "      <td>H</td>\n",
       "      <td>27.7821</td>\n",
       "      <td>25.74</td>\n",
       "      <td>5.687514</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26068</th>\n",
       "      <td>132.165672</td>\n",
       "      <td>0.405591</td>\n",
       "      <td>1100.0</td>\n",
       "      <td>3.80189</td>\n",
       "      <td>400.0</td>\n",
       "      <td>6.000</td>\n",
       "      <td>4.80066</td>\n",
       "      <td>H</td>\n",
       "      <td>25.6448</td>\n",
       "      <td>16.10</td>\n",
       "      <td>8.209048</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26030</th>\n",
       "      <td>124.437933</td>\n",
       "      <td>0.251719</td>\n",
       "      <td>800.0</td>\n",
       "      <td>2.74149</td>\n",
       "      <td>400.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>4.13182</td>\n",
       "      <td>He</td>\n",
       "      <td>7.1986</td>\n",
       "      <td>20.02</td>\n",
       "      <td>6.215681</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26724</th>\n",
       "      <td>120.539020</td>\n",
       "      <td>0.452989</td>\n",
       "      <td>1300.0</td>\n",
       "      <td>5.40074</td>\n",
       "      <td>550.0</td>\n",
       "      <td>5.000</td>\n",
       "      <td>3.77440</td>\n",
       "      <td>H</td>\n",
       "      <td>14.7881</td>\n",
       "      <td>17.98</td>\n",
       "      <td>6.704061</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26029</th>\n",
       "      <td>120.101394</td>\n",
       "      <td>0.234834</td>\n",
       "      <td>800.0</td>\n",
       "      <td>3.10725</td>\n",
       "      <td>400.0</td>\n",
       "      <td>1.000</td>\n",
       "      <td>3.40093</td>\n",
       "      <td>H</td>\n",
       "      <td>21.3412</td>\n",
       "      <td>15.02</td>\n",
       "      <td>7.996098</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26234</th>\n",
       "      <td>115.850470</td>\n",
       "      <td>0.369640</td>\n",
       "      <td>1200.0</td>\n",
       "      <td>4.48722</td>\n",
       "      <td>400.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>3.70692</td>\n",
       "      <td>H</td>\n",
       "      <td>27.5838</td>\n",
       "      <td>25.58</td>\n",
       "      <td>4.528947</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26483</th>\n",
       "      <td>113.832917</td>\n",
       "      <td>0.326987</td>\n",
       "      <td>1103.0</td>\n",
       "      <td>3.37609</td>\n",
       "      <td>351.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>4.35841</td>\n",
       "      <td>H</td>\n",
       "      <td>20.1860</td>\n",
       "      <td>19.34</td>\n",
       "      <td>5.885880</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26231</th>\n",
       "      <td>103.519851</td>\n",
       "      <td>0.368248</td>\n",
       "      <td>1200.0</td>\n",
       "      <td>4.22748</td>\n",
       "      <td>400.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>3.91986</td>\n",
       "      <td>H</td>\n",
       "      <td>22.7290</td>\n",
       "      <td>24.62</td>\n",
       "      <td>4.204706</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26232</th>\n",
       "      <td>103.356476</td>\n",
       "      <td>0.368305</td>\n",
       "      <td>1200.0</td>\n",
       "      <td>3.87523</td>\n",
       "      <td>400.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>4.27684</td>\n",
       "      <td>H</td>\n",
       "      <td>27.0456</td>\n",
       "      <td>23.86</td>\n",
       "      <td>4.331789</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26659</th>\n",
       "      <td>101.091843</td>\n",
       "      <td>0.223002</td>\n",
       "      <td>800.0</td>\n",
       "      <td>3.08899</td>\n",
       "      <td>400.0</td>\n",
       "      <td>1.000</td>\n",
       "      <td>3.24866</td>\n",
       "      <td>H</td>\n",
       "      <td>18.2537</td>\n",
       "      <td>13.98</td>\n",
       "      <td>7.231176</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26725</th>\n",
       "      <td>99.623203</td>\n",
       "      <td>0.450313</td>\n",
       "      <td>1300.0</td>\n",
       "      <td>5.51080</td>\n",
       "      <td>550.0</td>\n",
       "      <td>5.000</td>\n",
       "      <td>3.67716</td>\n",
       "      <td>H</td>\n",
       "      <td>19.6694</td>\n",
       "      <td>18.46</td>\n",
       "      <td>5.396707</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26245</th>\n",
       "      <td>94.532615</td>\n",
       "      <td>0.296502</td>\n",
       "      <td>900.0</td>\n",
       "      <td>3.89117</td>\n",
       "      <td>550.0</td>\n",
       "      <td>3.500</td>\n",
       "      <td>3.42894</td>\n",
       "      <td>He</td>\n",
       "      <td>8.6642</td>\n",
       "      <td>15.02</td>\n",
       "      <td>6.293783</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26726</th>\n",
       "      <td>93.469455</td>\n",
       "      <td>0.453110</td>\n",
       "      <td>1300.0</td>\n",
       "      <td>5.32911</td>\n",
       "      <td>550.0</td>\n",
       "      <td>5.000</td>\n",
       "      <td>3.82614</td>\n",
       "      <td>H</td>\n",
       "      <td>24.8412</td>\n",
       "      <td>17.66</td>\n",
       "      <td>5.292721</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26440</th>\n",
       "      <td>90.180067</td>\n",
       "      <td>0.269942</td>\n",
       "      <td>900.0</td>\n",
       "      <td>2.75748</td>\n",
       "      <td>300.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>4.40525</td>\n",
       "      <td>H</td>\n",
       "      <td>19.8884</td>\n",
       "      <td>16.98</td>\n",
       "      <td>5.310958</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26237</th>\n",
       "      <td>87.483322</td>\n",
       "      <td>0.370752</td>\n",
       "      <td>1200.0</td>\n",
       "      <td>4.10486</td>\n",
       "      <td>400.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>4.06441</td>\n",
       "      <td>H</td>\n",
       "      <td>26.7275</td>\n",
       "      <td>25.10</td>\n",
       "      <td>3.485391</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26328</th>\n",
       "      <td>83.879179</td>\n",
       "      <td>0.228175</td>\n",
       "      <td>800.0</td>\n",
       "      <td>3.19387</td>\n",
       "      <td>400.0</td>\n",
       "      <td>1.000</td>\n",
       "      <td>3.21487</td>\n",
       "      <td>H</td>\n",
       "      <td>14.8404</td>\n",
       "      <td>14.18</td>\n",
       "      <td>5.915316</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26487</th>\n",
       "      <td>83.573073</td>\n",
       "      <td>0.349694</td>\n",
       "      <td>1100.0</td>\n",
       "      <td>3.38356</td>\n",
       "      <td>313.0</td>\n",
       "      <td>0.997</td>\n",
       "      <td>4.65079</td>\n",
       "      <td>H</td>\n",
       "      <td>13.4963</td>\n",
       "      <td>20.78</td>\n",
       "      <td>4.021803</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26059</th>\n",
       "      <td>80.900073</td>\n",
       "      <td>0.280689</td>\n",
       "      <td>800.0</td>\n",
       "      <td>4.51976</td>\n",
       "      <td>550.0</td>\n",
       "      <td>5.000</td>\n",
       "      <td>2.79461</td>\n",
       "      <td>H</td>\n",
       "      <td>29.2189</td>\n",
       "      <td>13.54</td>\n",
       "      <td>5.974895</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26531</th>\n",
       "      <td>80.271444</td>\n",
       "      <td>0.346838</td>\n",
       "      <td>1100.0</td>\n",
       "      <td>3.36599</td>\n",
       "      <td>250.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>4.63688</td>\n",
       "      <td>H</td>\n",
       "      <td>19.1197</td>\n",
       "      <td>21.18</td>\n",
       "      <td>3.789964</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              hxr        Bt     UBt       Ip    Ucd    Tcd        q  WG  \\\n",
       "shot                                                                      \n",
       "26236  152.121047  0.367324  1200.0  5.07704  400.0  0.000  3.25575   H   \n",
       "26235  146.396614  0.371751  1200.0  4.39654  400.0  0.000  3.80499   H   \n",
       "26068  132.165672  0.405591  1100.0  3.80189  400.0  6.000  4.80066   H   \n",
       "26030  124.437933  0.251719   800.0  2.74149  400.0  0.000  4.13182  He   \n",
       "26724  120.539020  0.452989  1300.0  5.40074  550.0  5.000  3.77440   H   \n",
       "26029  120.101394  0.234834   800.0  3.10725  400.0  1.000  3.40093   H   \n",
       "26234  115.850470  0.369640  1200.0  4.48722  400.0  0.000  3.70692   H   \n",
       "26483  113.832917  0.326987  1103.0  3.37609  351.0  0.000  4.35841   H   \n",
       "26231  103.519851  0.368248  1200.0  4.22748  400.0  0.000  3.91986   H   \n",
       "26232  103.356476  0.368305  1200.0  3.87523  400.0  0.000  4.27684   H   \n",
       "26659  101.091843  0.223002   800.0  3.08899  400.0  1.000  3.24866   H   \n",
       "26725   99.623203  0.450313  1300.0  5.51080  550.0  5.000  3.67716   H   \n",
       "26245   94.532615  0.296502   900.0  3.89117  550.0  3.500  3.42894  He   \n",
       "26726   93.469455  0.453110  1300.0  5.32911  550.0  5.000  3.82614   H   \n",
       "26440   90.180067  0.269942   900.0  2.75748  300.0  0.000  4.40525   H   \n",
       "26237   87.483322  0.370752  1200.0  4.10486  400.0  0.000  4.06441   H   \n",
       "26328   83.879179  0.228175   800.0  3.19387  400.0  1.000  3.21487   H   \n",
       "26487   83.573073  0.349694  1100.0  3.38356  313.0  0.997  4.65079   H   \n",
       "26059   80.900073  0.280689   800.0  4.51976  550.0  5.000  2.79461   H   \n",
       "26531   80.271444  0.346838  1100.0  3.36599  250.0  0.000  4.63688   H   \n",
       "\n",
       "             p    Tpl   hxr/Tpl  \n",
       "shot                             \n",
       "26236  23.6471  23.30  6.528800  \n",
       "26235  27.7821  25.74  5.687514  \n",
       "26068  25.6448  16.10  8.209048  \n",
       "26030   7.1986  20.02  6.215681  \n",
       "26724  14.7881  17.98  6.704061  \n",
       "26029  21.3412  15.02  7.996098  \n",
       "26234  27.5838  25.58  4.528947  \n",
       "26483  20.1860  19.34  5.885880  \n",
       "26231  22.7290  24.62  4.204706  \n",
       "26232  27.0456  23.86  4.331789  \n",
       "26659  18.2537  13.98  7.231176  \n",
       "26725  19.6694  18.46  5.396707  \n",
       "26245   8.6642  15.02  6.293783  \n",
       "26726  24.8412  17.66  5.292721  \n",
       "26440  19.8884  16.98  5.310958  \n",
       "26237  26.7275  25.10  3.485391  \n",
       "26328  14.8404  14.18  5.915316  \n",
       "26487  13.4963  20.78  4.021803  \n",
       "26059  29.2189  13.54  5.974895  \n",
       "26531  19.1197  21.18  3.789964  "
      ]
     },
     "execution_count": 130,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_best.head(20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import jinja2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "t = jinja2.Template(\"\"\"\n",
    "<html>\n",
    "<body>\n",
    "<table>\n",
    "<tr><th>shot</th><th>hxr</th><tr>\n",
    "{% for shot, row in df.iterrows() %}\n",
    "<tr>\n",
    "<td><a href=\"http://golem.fjfi.cvut.cz/shots/{{ shot }}\">{{ shot }}</a></td>\n",
    "<td><a href=\"http://golem.fjfi.cvut.cz/shots/{{ shot }}/DAS/0311TektronixDPO3014.ON/\">{{ row['hxr'] | round(2) }}</a></td>\n",
    "</tr>\n",
    "{% endfor %}\n",
    "</table>\n",
    "</body>\n",
    "</html>\n",
    "\"\"\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "with open('hxr_best.html', 'w') as out:\n",
    "    out.write(t.render(df=df_best))"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
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  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.13"
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 },
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