Parameters optimization.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from traxit_manage.tracklist import tracklist_helper"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "corpus = 'c_sony'\n",
    "broadcast = 'b_sony'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from traxit_algorithm.pipelines import pipelines"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "import copy\n",
    "\n",
    "initial_pipeline = pipelines['default']\n",
    "initial_pipeline['matching']['params']['min_score_hough'] = 0\n",
    "\n",
    "ratios_keep_hough = [0.15, 0.2, 1.]\n",
    "\n",
    "_pipelines = {}\n",
    "\n",
    "for ratio_keep_hough in ratios_keep_hough:\n",
    "    _pipeline = copy.deepcopy(initial_pipeline)\n",
    "    _pipeline['matching']['params']['ratio_keep_hough'] = ratio_keep_hough\n",
    "    _pipelines[str(ratio_keep_hough)] = _pipeline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "tracklist_helper?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:traxit_algorithm.fingerprinting:Deprecated arguments t1 (0), t2 (10)\n",
      "/home/vagrant/.virtualenvs/traxit_manage/local/lib/python2.7/site-packages/numpy/core/fromnumeric.py:2507: VisibleDeprecationWarning: `rank` is deprecated; use the `ndim` attribute or function instead. To find the rank of a matrix see `numpy.linalg.matrix_rank`.\n",
      "  VisibleDeprecationWarning)\n",
      "WARNING:traxit_algorithm.fingerprinting:Deprecated arguments t1 (7), t2 (17)\n",
      "WARNING:traxit_algorithm.fingerprinting:Deprecated arguments t1 (14), t2 (24)\n",
      "WARNING:traxit_algorithm.fingerprinting:Deprecated arguments t1 (21), t2 (31)\n",
      "WARNING:traxit_algorithm.fingerprinting:Deprecated arguments t1 (28), t2 (38)\n",
      "WARNING:traxit_algorithm.fingerprinting:Deprecated arguments t1 (35), t2 (45)\n",
      "WARNING:traxit_algorithm.fingerprinting:Deprecated arguments t1 (42), t2 (52)\n",
      "WARNING:traxit_algorithm.fingerprinting:Deprecated arguments t1 (49), t2 (59)\n",
      "WARNING:traxit_algorithm.fingerprinting:Deprecated arguments t1 (56), t2 (66)\n",
      "WARNING:traxit_algorithm.fingerprinting:Deprecated arguments t1 (63), t2 (73)\n",
      "WARNING:traxit_algorithm.fingerprinting:Deprecated arguments t1 (70), t2 (80)\n",
      "WARNING:traxit_algorithm.fingerprinting:Deprecated arguments t1 (77), t2 (87)\n",
      "WARNING:traxit_algorithm.fingerprinting:Deprecated arguments t1 (84), t2 (94)\n",
      "WARNING:traxit_algorithm.fingerprinting:Deprecated arguments t1 (91), t2 (101)\n",
      "WARNING:traxit_algorithm.fingerprinting:Deprecated arguments t1 (98), t2 (108)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Using database ElasticSearch, with db_name traxit_c_sony_7e49c62432 (9 fingerprint items)\n"
     ]
    },
    {
     "ename": "KeyboardInterrupt",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-11-a181f8198281>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m()\u001b[0m\n\u001b[0;32m      1\u001b[0m \u001b[1;32mfor\u001b[0m \u001b[0mpipeline\u001b[0m \u001b[1;32min\u001b[0m \u001b[0m_pipelines\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 2\u001b[1;33m     \u001b[0mtracklist_helper\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mcorpus\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mbroadcast\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mreset_history_tracklist\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mTrue\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mglobaldb\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mTrue\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mpipeline\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mpipeline\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;32m/srv/traxit_manage/traxit_manage/tracklist.py\u001b[0m in \u001b[0;36mtracklist_helper\u001b[1;34m(corpus, broadcast, reset_cache, reset_history_tracklist, globaldb, db_name, cli, pipeline, detection_file_append, introspect_trackids)\u001b[0m\n\u001b[0;32m     90\u001b[0m                                        \u001b[0mcli\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mcli\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     91\u001b[0m                                        \u001b[0mpipeline\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mpipeline\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 92\u001b[1;33m                                        introspect_trackids=introspect_trackids)\n\u001b[0m\u001b[0;32m     93\u001b[0m     \u001b[0mok\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mlist\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mset\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mlist_of_valid\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     94\u001b[0m     \u001b[0mdetection_dict\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;33m{\u001b[0m\u001b[1;33m}\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m/srv/traxit_manage/traxit_manage/tracklist.py\u001b[0m in \u001b[0;36mget_tracklist\u001b[1;34m(list_of_files, db_instance, corpus_path, broadcast, reset_cache, reset_history_tracklist, cli, pipeline, introspect_trackids)\u001b[0m\n\u001b[0;32m    216\u001b[0m                                 \u001b[0mreset_cache\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    217\u001b[0m                                 \u001b[0mreset_history_tracklist\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 218\u001b[1;33m                                 tracklisting_instance)\n\u001b[0m\u001b[0;32m    219\u001b[0m         \u001b[0mtls\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mtl\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    220\u001b[0m     \u001b[1;32mreturn\u001b[0m \u001b[0mlist_of_files\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mtls\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m/srv/traxit_manage/traxit_manage/tracklist.py\u001b[0m in \u001b[0;36mget_tracklist_file\u001b[1;34m(broadcast, cli, corpus_path, filepath, fingerprinting_instance, introspect_trackids, matching_instance, reset_cache, reset_history_tracklist, tracklisting_instance)\u001b[0m\n\u001b[0;32m    274\u001b[0m                               \u001b[0mtracklisting_instance\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    275\u001b[0m                               \u001b[0mfilecache\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mstart\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mend\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 276\u001b[1;33m                               introspect_trackids)\n\u001b[0m\u001b[0;32m    277\u001b[0m         \u001b[1;32mwith\u001b[0m \u001b[0mopen\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mtracklist_saved\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m'wb+'\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;32mas\u001b[0m \u001b[0mf\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    278\u001b[0m             \u001b[0mjson\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mdump\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mtracklisting_instance\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mhistory_tracklist\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mf\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m/srv/traxit_manage/traxit_manage/tracklist.py\u001b[0m in \u001b[0;36mprocess_chunk\u001b[1;34m(fingerprinting_instance, matching_instance, tracklisting_instance, filecache, start, end, introspect_trackids)\u001b[0m\n\u001b[0;32m    162\u001b[0m                                           \u001b[0mend\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    163\u001b[0m                                           \u001b[0mintrospect_trackids\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mintrospect_trackids\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 164\u001b[1;33m                                           query_keys_n_jobs=8)\n\u001b[0m\u001b[0;32m    165\u001b[0m     \u001b[0mtracklisting_instance\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mpost_processing\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mmatch\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mstart\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mend\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    166\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m/home/vagrant/.virtualenvs/traxit_manage/local/lib/python2.7/site-packages/traxit_algorithm-0.43-py2.7.egg/traxit_algorithm/matching.pyc\u001b[0m in \u001b[0;36mget_matches\u001b[1;34m(self, fp, t1, t2, introspect_trackids, query_keys_n_jobs)\u001b[0m\n\u001b[0;32m    124\u001b[0m         \u001b[1;31m# Prepare the datasets: keys with self.candidates_pruning keys removed, keys with ratio ratio_keep_hough\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    125\u001b[0m         \u001b[1;31m# detunings and weights for the latter.\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 126\u001b[1;33m         \u001b[0mfp_data\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mget_shifted_pruned_keys_detunings_weights\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mfp\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mshifts\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    127\u001b[0m         \u001b[1;31m# fp_data = {int: {'candidates_keys': set[int],\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    128\u001b[0m         \u001b[1;31m#                  'score_index': list[int],\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m/home/vagrant/.virtualenvs/traxit_manage/local/lib/python2.7/site-packages/traxit_algorithm-0.43-py2.7.egg/traxit_algorithm/matching.pyc\u001b[0m in \u001b[0;36mget_shifted_pruned_keys_detunings_weights\u001b[1;34m(self, fp, shifts)\u001b[0m\n\u001b[0;32m    465\u001b[0m                 \u001b[0mfp_shift\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mshift_post_process\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mfp\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mshift\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    466\u001b[0m                 \u001b[0mcandidates_fp_shift\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mfp_shift\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;33m~\u001b[0m\u001b[0mfp_shift\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mkey\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0misin\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcandidates_pruned_keys\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 467\u001b[1;33m                 \u001b[0mscore_fp_shift\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mflexible_pruning\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mfp_shift\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    468\u001b[0m                 \u001b[0mweights\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;33m[\u001b[0m\u001b[1;36m1.\u001b[0m \u001b[1;33m/\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mratio_keep_hough\u001b[0m\u001b[1;33m]\u001b[0m \u001b[1;33m*\u001b[0m \u001b[0mlen\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mscore_fp_shift\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    469\u001b[0m                 fp_data[shift] = {'candidates_keys': set(candidates_fp_shift.key.tolist()),\n",
      "\u001b[1;32m/home/vagrant/.virtualenvs/traxit_manage/local/lib/python2.7/site-packages/traxit_algorithm-0.43-py2.7.egg/traxit_algorithm/utility.pyc\u001b[0m in \u001b[0;36m_fun\u001b[1;34m(*args, **kwargs)\u001b[0m\n\u001b[0;32m     23\u001b[0m         \"\"\"\n\u001b[0;32m     24\u001b[0m         \u001b[0mt_start\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mtime\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mtime\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 25\u001b[1;33m         \u001b[0moutput\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mfun\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m*\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m     26\u001b[0m         \u001b[0mdelta\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mtime\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mtime\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;33m-\u001b[0m \u001b[0mt_start\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     27\u001b[0m         \u001b[1;31m# Best precision is microsecond\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m/home/vagrant/.virtualenvs/traxit_manage/local/lib/python2.7/site-packages/traxit_algorithm-0.43-py2.7.egg/traxit_algorithm/matching.pyc\u001b[0m in \u001b[0;36mflexible_pruning\u001b[1;34m(self, fp, pruned_keys, iters, fp_size, pruning)\u001b[0m\n\u001b[0;32m    503\u001b[0m             \u001b[0mpruning\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;36m0\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    504\u001b[0m         \u001b[1;32mif\u001b[0m \u001b[0mpruned_keys\u001b[0m \u001b[1;32mis\u001b[0m \u001b[0mNone\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 505\u001b[1;33m             \u001b[0mpruned_keys\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mcopy\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mdeepcopy\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mall_pruned_keys\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    506\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    507\u001b[0m         \u001b[0miters\u001b[0m \u001b[1;33m-=\u001b[0m \u001b[1;36m1\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m/usr/lib/python2.7/copy.pyc\u001b[0m in \u001b[0;36mdeepcopy\u001b[1;34m(x, memo, _nil)\u001b[0m\n\u001b[0;32m    161\u001b[0m     \u001b[0mcopier\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0m_deepcopy_dispatch\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mget\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mcls\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    162\u001b[0m     \u001b[1;32mif\u001b[0m \u001b[0mcopier\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 163\u001b[1;33m         \u001b[0my\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mcopier\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mx\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mmemo\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    164\u001b[0m     \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    165\u001b[0m         \u001b[1;32mtry\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m/usr/lib/python2.7/copy.pyc\u001b[0m in \u001b[0;36m_deepcopy_list\u001b[1;34m(x, memo)\u001b[0m\n\u001b[0;32m    228\u001b[0m     \u001b[0mmemo\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mid\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mx\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m]\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0my\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    229\u001b[0m     \u001b[1;32mfor\u001b[0m \u001b[0ma\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mx\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 230\u001b[1;33m         \u001b[0my\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdeepcopy\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0ma\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mmemo\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    231\u001b[0m     \u001b[1;32mreturn\u001b[0m \u001b[0my\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    232\u001b[0m \u001b[0md\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mlist\u001b[0m\u001b[1;33m]\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0m_deepcopy_list\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m/usr/lib/python2.7/copy.pyc\u001b[0m in \u001b[0;36mdeepcopy\u001b[1;34m(x, memo, _nil)\u001b[0m\n\u001b[0;32m    161\u001b[0m     \u001b[0mcopier\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0m_deepcopy_dispatch\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mget\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mcls\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    162\u001b[0m     \u001b[1;32mif\u001b[0m \u001b[0mcopier\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 163\u001b[1;33m         \u001b[0my\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mcopier\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mx\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mmemo\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    164\u001b[0m     \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    165\u001b[0m         \u001b[1;32mtry\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m/usr/lib/python2.7/copy.pyc\u001b[0m in \u001b[0;36m_deepcopy_atomic\u001b[1;34m(x, memo)\u001b[0m\n\u001b[0;32m    196\u001b[0m \u001b[0m_deepcopy_dispatch\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0md\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;33m{\u001b[0m\u001b[1;33m}\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    197\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 198\u001b[1;33m \u001b[1;32mdef\u001b[0m \u001b[0m_deepcopy_atomic\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mx\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mmemo\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    199\u001b[0m     \u001b[1;32mreturn\u001b[0m \u001b[0mx\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    200\u001b[0m \u001b[0md\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mtype\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mNone\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m]\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0m_deepcopy_atomic\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mKeyboardInterrupt\u001b[0m: "
     ]
    }
   ],
   "source": [
    "for label, pipeline in _pipelines:\n",
    "    tracklist_helper(corpus, broadcast, reset_history_tracklist=True, globaldb=True, pipeline=pipeline, detection_file_append=label)"
   ]
  }
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