bkg_levels_ME1_veto_CSC_CSC_v2.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "c839451f",
   "metadata": {},
   "source": [
    "## Import"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "58b6e643",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Welcome to JupyROOT 6.24/06\n"
     ]
    }
   ],
   "source": [
    "import ROOT as rt\n",
    "import csv\n",
    "import re\n",
    "import sys\n",
    "import os\n",
    "import collections\n",
    "from collections import OrderedDict\n",
    "import uproot\n",
    "import pandas as pd\n",
    "from root_numpy import array2tree\n",
    "import scipy\n",
    "import awkward\n",
    "import numpy as np\n",
    "import time\n",
    "import math\n",
    "from scipy.stats import norm\n",
    "#import PrettyTable\n",
    "\n",
    "sys.path.append('/afs/desy.de/user/l/lbenato/cms-lpc-llp_repo/run3_muon_system_analysis/lib/')\n",
    "from histo_utilities import create_TH1D, create_TH2D, std_color_list, create_TGraph, make_ratio_plot, addOverflow\n",
    "from helper_functions import deltaR, deltaPhi, drawCMS\n",
    "#from helper import *\n",
    "\n",
    "rt.gStyle.SetOptStat(0)\n",
    "rt.gROOT.SetBatch(True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "80d97fb5",
   "metadata": {},
   "source": [
    "## Load ntuples"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e0c47f19",
   "metadata": {},
   "source": [
    "## Load variables"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "368e657b",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "987184983920.0\n",
      "1118334.9661248096\n",
      "data 15508012.0\n",
      "signal 42882900.0\n"
     ]
    }
   ],
   "source": [
    "fpath =OrderedDict()\n",
    "tree = OrderedDict()\n",
    "\n",
    "start_t = time.time()\n",
    "data_year = 2022\n",
    "\n",
    "tag  = 'V1p19'\n",
    "#vers = 'v6_Pedro_newDNN_skim'\n",
    "vers = 'v6_Pedro_newDNN'\n",
    "#vers = 'v6'\n",
    "data_label = {}\n",
    "#v1 includes events without selections\n",
    "#v3 includes events with at least 2 clusters\n",
    "#v4: no event level cuts, clusters made with DBSCAN, HLT time definition\n",
    "#v5: no event level cuts, clusters made with CA\n",
    "\n",
    "data_path = '/nfs/dust/cms/group/cms-llp/muon_system_run3/'+tag+'/Data'+str(data_year)+'/'+vers+'/'\n",
    "#plot_folder = \"v6_ME1_newDNN_skim\"\n",
    "plot_folder = \"v6_ME1_newDNN\"\n",
    "lumi = 23.02*1000\n",
    "xsec = 48.\n",
    "\n",
    "if data_year == 2022:\n",
    "    fpath['data'] = data_path + 'data.root'#'DisplacedJet-EXOCSCCluster_Run2022EFG-PromptReco-v1_goodLumi.root'\n",
    "    fpath['signal'] = data_path + 'mc.root'#'ggH_HToSSTobbbb_MH-125_MS-15_CTau1000_13p6TeV_1pb_weighted.root'\n",
    "    data_label['data'] = 'Data'\n",
    "    data_label['signal'] = 'Signal'\n",
    "    \n",
    "NEvents = {}\n",
    "for k,v in fpath.items():\n",
    "    root_dir = uproot.open(v)\n",
    "    tree[k] = root_dir['MuonSystem']\n",
    "    NEvents[k] = root_dir['NEvents'][1]\n",
    "    a = tree[k][\"weight\"].array()\n",
    "    data_weight = np.zeros(100)\n",
    "    signal_gen_weight = np.zeros(100)\n",
    "    if k=='signal':\n",
    "        signal_gen_weight = tree[k][\"weight\"].array()\n",
    "        #print(NEvents[k]*48.58)\n",
    "        #print(NEvents[k])\n",
    "    else:\n",
    "        data_weight = tree[k][\"weight\"].array()\n",
    "\n",
    "signal_gen_yield = np.sum(signal_gen_weight)*lumi/NEvents['signal']*48.58\n",
    "data_all_yield = np.sum(data_weight)\n",
    "\n",
    "print(signal_gen_weight.sum()*lumi)\n",
    "print( signal_gen_weight.sum()*lumi/NEvents['signal']*48.58)\n",
    "#print(data_all_yield)\n",
    "\n",
    "for k, T in tree.items():\n",
    "    branch_names = T.keys()\n",
    "    print(k, NEvents[k])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "899a72f3",
   "metadata": {},
   "outputs": [],
   "source": [
    "JET_PT_CUT = 10.0\n",
    "MUON_PT_CUT = 20.0\n",
    "N_RECHIT_CUT = 90\n",
    "jetPt_cut = 50\n",
    "tightid = False\n",
    "ring_cut = 50\n",
    "\n",
    "#cut_based = True\n",
    "#cut_based_version = 'v4'\n",
    "\n",
    "intime = True\n",
    "DPHI_CUT = 1\n",
    "\n",
    "\n",
    "gLLP_csc = {}\n",
    "\n",
    "\n",
    "selections_cluster = {}\n",
    "sel_cluster = {}\n",
    "sel_jetveto_csc = {}\n",
    "sel_muonveto_csc = {}\n",
    "sel_jetveto_dt = {}\n",
    "sel_muonveto_dt = {}\n",
    "met_trigger = {}\n",
    "met = {}\n",
    "gLLP_beta = {}\n",
    "jetPt = {}\n",
    "jetPhi = {}\n",
    "metPhi = {}\n",
    "angle ={}\n",
    "nLeptons = {}\n",
    "genJetPt = {}\n",
    "genJetPhi = {}\n",
    "genMet = {}\n",
    "genMetPhi = {}\n",
    "pileupWeight = {}\n",
    "gLLP_ctau = {}\n",
    "npv = {}\n",
    "nRechitClusters = {}\n",
    "nJets = {}\n",
    "nJets_50gev = {}\n",
    "nCscRings = {}\n",
    "nDtRings = {}\n",
    "\n",
    "weight = {}\n",
    "all_weight = {}\n",
    "jetMet_dPhiMin = {}\n",
    "dphiMet_cluster = {}\n",
    "nRechits_sr = {}\n",
    "jetMet_dPhiMin30_sr = {}\n",
    "cscClusterTimeSpread = {}\n",
    "bdt_score = {}\n",
    "nCscChambers = {}\n",
    "\n",
    "sel_ev = {}\n",
    "sel_ev_post = {}\n",
    "hlt_sel_ev = {}\n",
    "cluster_index = ''\n",
    "nRings = {}\n",
    "\n",
    "#CSC cluster variables\n",
    "cscClusterMuonVetoPt = {}\n",
    "cscClusterJetVetoPt = {}\n",
    "cscClusterPhi = {}\n",
    "cscClusterEta = {}\n",
    "cscClusterEta2 = {}\n",
    "cscClusterEta3 = {}\n",
    "cscClusterR = {}\n",
    "cscClusterZ = {}\n",
    "cscClusterSize = {}\n",
    "cscClusterSize2 = {}\n",
    "cscClusterSize3 = {}\n",
    "cscClusterTimeSpread = {}\n",
    "cscClusterTime = {}\n",
    "cscClusterTime2 = {}\n",
    "cscClusterTime3 = {}\n",
    "cscClusterMet_dPhi = {}\n",
    "cscClusterNStation = {}\n",
    "cscClusterAvgStation = {}\n",
    "cscClusterMaxStation = {}\n",
    "cscClusterDphi = {}\n",
    "cscClusterDNN = {}\n",
    "\n",
    "tr_cscClusterMuonVetoPt = {}\n",
    "tr_cscClusterJetVetoPt = {}\n",
    "tr_cscClusterPhi = {}\n",
    "tr_cscClusterEta = {}\n",
    "tr_cscClusterEta2 = {}\n",
    "tr_cscClusterEta3 = {}\n",
    "tr_cscClusterR = {}\n",
    "tr_cscClusterZ = {}\n",
    "tr_cscClusterSize = {}\n",
    "tr_cscClusterSize2 = {}\n",
    "tr_cscClusterSize3 = {}\n",
    "tr_cscClusterTimeSpread = {}\n",
    "tr_cscClusterTime = {}\n",
    "tr_cscClusterTime2 = {}\n",
    "tr_cscClusterTime3 = {}\n",
    "tr_cscClusterMet_dPhi = {}\n",
    "tr_cscClusterNStation = {}\n",
    "tr_cscClusterAvgStation = {}\n",
    "tr_cscClusterMaxStation = {}\n",
    "tr_cscClusterDphi = {}\n",
    "tr_cscClusterDNN = {}\n",
    "\n",
    "nCscClusters = {}\n",
    "\n",
    "#cscClusterNRechitMinus11 = {}\n",
    "#cscClusterNRechitPlus11 = {}\n",
    "#cscClusterNRechitMinus12 = {}\n",
    "#cscClusterNRechitPlus12 = {}\n",
    "\n",
    "\n",
    "#DT cluster variables\n",
    "dtClusterMuonVetoPt = {}\n",
    "dtClusterJetVetoPt = {}\n",
    "dtClusterTime = {}\n",
    "dtClusterPhi = {}\n",
    "dtClusterEta = {}\n",
    "dtClusterSize = {}\n",
    "dtClusterDphi = {}\n",
    "nDtClusters = {}\n",
    "dtClusterNStation = {}\n",
    "dtClusterMaxStation = {}\n",
    "dtClusterNHitStation1 = {}\n",
    "dtCluster_match_MB1hits_0p4 = {}\n",
    "dtCluster_match_MB1hits_0p5 = {}\n",
    "dtClusterMaxStationRatio = {}\n",
    "dtClusterMet_dPhi = {}\n",
    "\n",
    "deltaEta = {}        \n",
    "deltaRCluster = {}\n",
    "\n",
    "metPhi = {}\n",
    "evtNum = {}\n",
    "runNum = {}\n",
    "lumiNum = {}\n",
    "\n",
    "nMe11 = {}\n",
    "\n",
    "tree_keys = []\n",
    "nClusterRatio = {}\n",
    "\n",
    "ME11_veto = {}\n",
    "ME12_veto = {}\n",
    "ME1_veto = {}\n",
    "MB1_veto = {}\n",
    "\n",
    "#L1 plateau\n",
    "first_in_ME11 = {}\n",
    "first_in_ME12 = {}\n",
    "first_in_ME13 = {}\n",
    "first_in_ME21 = {}\n",
    "first_in_ME22 = {}\n",
    "first_in_ME31 = {}\n",
    "first_in_ME32 = {}\n",
    "first_in_ME41 = {}\n",
    "first_in_ME42 = {}\n",
    "\n",
    "\n",
    "first_in_plateau_ME11 = {}\n",
    "first_in_plateau_ME12 = {}\n",
    "first_in_plateau_ME13 = {}\n",
    "first_in_plateau_ME21 = {}\n",
    "first_in_plateau_ME22 = {}\n",
    "first_in_plateau_ME31 = {}\n",
    "first_in_plateau_ME32 = {}\n",
    "first_in_plateau_ME41 = {}\n",
    "first_in_plateau_ME42 = {}\n",
    "first_in_plateau = {}\n",
    "\n",
    "#L1 plateau - global, non positional\n",
    "cl_in_ME11 = {}\n",
    "cl_in_ME12 = {}\n",
    "cl_in_ME13 = {}\n",
    "cl_in_ME21 = {}\n",
    "cl_in_ME22 = {}\n",
    "cl_in_ME31 = {}\n",
    "cl_in_ME32 = {}\n",
    "cl_in_ME41 = {}\n",
    "cl_in_ME42 = {}\n",
    "\n",
    "cl_in_plateau_ME11 = {}\n",
    "cl_in_plateau_ME12 = {}\n",
    "cl_in_plateau_ME13 = {}\n",
    "cl_in_plateau_ME21 = {}\n",
    "cl_in_plateau_ME22 = {}\n",
    "cl_in_plateau_ME31 = {}\n",
    "cl_in_plateau_ME32 = {}\n",
    "cl_in_plateau_ME41 = {}\n",
    "cl_in_plateau_ME42 = {}\n",
    "cl_in_plateau = {}\n",
    "\n",
    "\n",
    "\n",
    "#Angular variables\n",
    "dPhi_csc_csc = {}\n",
    "dEta_csc_csc = {}\n",
    "dR_csc_csc = {}\n",
    "dt_csc_csc = {}\n",
    "dPhi_csc_dt = {}\n",
    "dEta_csc_dt = {}\n",
    "dR_csc_dt = {}"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f8091520",
   "metadata": {},
   "source": [
    "## Settings"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "6f8fbffd",
   "metadata": {},
   "outputs": [],
   "source": [
    "category = 0#-1#0\n",
    "category = 1\n",
    "#-1: at least 1csc\n",
    "#0: exactly 1 csc\n",
    "#1: 2csc,\n",
    "#2: 1csc+1dt, \n",
    "\n",
    "do_jet_veto = True\n",
    "do_inverted_jet_veto = False\n",
    "if (do_jet_veto and do_inverted_jet_veto):\n",
    "    print(\"Please check jet veto! Aborting...\")\n",
    "    exit()\n",
    "\n",
    "do_muon_veto = True\n",
    "do_inverted_muon_veto = False\n",
    "if (do_muon_veto and do_inverted_muon_veto):\n",
    "    print(\"Please check muon veto! Aborting...\")\n",
    "    exit()\n",
    "\n",
    "do_csc_time_spread_cut = True\n",
    "do_csc_in_time_cut = True\n",
    "do_ME_veto = True\n",
    "do_MB_veto = True\n",
    "do_HLT_eta_cut = False#True\n",
    "do_L1_plateau = True\n",
    "\n",
    "plot_string = \"\"\n",
    "#plot_string = \"_jet_veto\"\n",
    "#plot_string = \"_csc_time_spread_cut\"\n",
    "#plot_string = \"_csc_in_time_cut\"\n",
    "#plot_string = \"\"\n",
    "#plot_string = \"_ME_veto\"\n",
    "#plot_string = \"_ME_veto_HLT_eta_cut\"\n",
    "#plot_string = \"_ME_veto_HLT_eta_cut_at_least_1_cluster\"\n",
    "#plot_string = \"_ME_veto_HLT_eta_cut_in_time_cut_at_least_1_cluster\"\n",
    "#plot_string+= \"_exactly_1_csc_cluster\"\n",
    "\n",
    "#plot_string+= \"_exactly_2_csc_clusters_ME_veto\"\n",
    "#plot_string+= \"_exactly_2_csc_clusters_ME_veto_time_spread_cut_jet_muon_veto_2nd\"\n",
    "#plot_string+= \"_exactly_2_csc_clusters_time_spread_cut_jet_muon_veto_2nd\"\n",
    "#plot_string+= \"_2_csc_clusters_ME_veto\"\n",
    "#plot_string+= \"_at_least_1_csc_cluster_ME_veto\"\n",
    "#plot_string+= \"_csc_dt_cluster_ME_veto\"\n",
    "#plot_string+= \"_csc_dt_cluster_ME_MB_veto\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "52e5fddf",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "b'dtRechitClusterDNN'\n",
      "b'cscRechitClusterDNN'\n"
     ]
    }
   ],
   "source": [
    "for a in branch_names:\n",
    "    if \"DNN\" in str(a):\n",
    "        print(a)\n",
    "    #if \"dtRechitClusterMaxStationRatio\" in str(a):\n",
    "    #    print(a)\n",
    "    #if \"atio\" in str(a):\n",
    "    #    print(a)\n",
    "    #if 'csc' in str(a):\n",
    "    #    print(a)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "8d1149f0",
   "metadata": {},
   "outputs": [],
   "source": [
    "#def iterative_numpy(a):\n",
    "#    mask = a > -999.\n",
    "#    out = np.array([ a[i,mask[i]] for i xrange(a.shape[0]) ])\n",
    "#    return out"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "bb3672eb",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "data\n",
      "n_at_least_1_cluster[k]:  15066429.0\n",
      "start awkward\n",
      "done!\n",
      "\n",
      "\n",
      "signal\n",
      "n_at_least_1_cluster[k]:  8705218.0\n",
      "start awkward\n",
      "done!\n"
     ]
    }
   ],
   "source": [
    "n_1CSC = {}\n",
    "n_2CSC = {}\n",
    "\n",
    "n_1CSC_ME1 = {}\n",
    "n_1CSC_ME1_old = {}\n",
    "n_2CSC_ME1 = {}\n",
    "n_2CSC_ME1_old = {}\n",
    "\n",
    "n_1CSC_ME1_plateau = {}\n",
    "n_2CSC_ME1_plateau = {}\n",
    "\n",
    "n_1CSC_ME1_plateau_0lep = {}\n",
    "n_2CSC_ME1_plateau_0lep = {}\n",
    "\n",
    "n_2CSC_ME1_plateau_0lep_hlt = {}\n",
    "n_2CSC_ME1_plateau_0lep_hlt_dphi = {}\n",
    "\n",
    "for k, T in tree.items():\n",
    "    \n",
    "    print(\"\\n\")\n",
    "    print(k)\n",
    "    tree_keys.append(k)\n",
    " \n",
    "    #ev_num = (T.array('evtNum')<1000000000000000000000000000000000000000000000000000000000000000000000000000000000000)\n",
    "    ev_num = (T.array('evtNum')>-1)\n",
    "    #ev_num = (T.array('evtNum')<5000)\n",
    "    \n",
    "    pre_sel_csccluster = (T.array('cscRechitClusterSize') >= 0)[ev_num]\n",
    "    n_pre_cl = pre_sel_csccluster.sum()\n",
    "\n",
    "    n_1CSC[k] = T.array('weight')[ev_num][n_pre_cl>0].sum()\n",
    "    print(\"n_at_least_1_cluster[k]: \", n_1CSC[k])\n",
    "    n_2CSC[k] = T.array('weight')[ev_num][n_pre_cl>1].sum()\n",
    "\n",
    "    ###############################################\n",
    "    #ME1 veto and L1/HLT plateau on trigger cluster\n",
    "    ME11_veto[k] = np.logical_and(\n",
    "        T.array('cscRechitCluster' + cluster_index + 'NRechitChamberMinus11')[ev_num]==0  ,\n",
    "        T.array('cscRechitCluster' + cluster_index + 'NRechitChamberPlus11')[ev_num]==0\n",
    "    )  \n",
    "\n",
    "    ME12_veto[k] = np.logical_and(\n",
    "        T.array('cscRechitCluster' + cluster_index + 'NRechitChamberMinus12')[ev_num]==0  ,\n",
    "        T.array('cscRechitCluster' + cluster_index + 'NRechitChamberPlus12')[ev_num]==0\n",
    "    )      \n",
    "\n",
    "    ME1_veto[k] = ( ME11_veto[k] & ME12_veto[k] )\n",
    "    \n",
    "\n",
    "    \n",
    "    #Old way: ME1_veto applied to all clusters\n",
    "    sel_csccluster_old = np.logical_and(pre_sel_csccluster,\n",
    "                                    np.logical_and(ME11_veto[k],ME12_veto[k])\n",
    "                                   )\n",
    "    \n",
    "    n_old_cl = sel_csccluster_old.sum()\n",
    "    \n",
    "    n_1CSC_ME1_old[k] = T.array('weight')[ev_num][n_old_cl>0].sum()\n",
    "    n_2CSC_ME1_old[k] = T.array('weight')[ev_num][n_old_cl>1].sum()\n",
    "        \n",
    "    #tmp variables to identify trigger cluster\n",
    "    tmp_cscClusterR = np.sqrt(  T.array('cscRechitCluster' + cluster_index + 'X')[ev_num][:,:]**2 + T.array('cscRechitCluster' + cluster_index + 'Y')[ev_num][:,:]**2 )\n",
    "    tmp_cscClusterZ = T.array('cscRechitCluster' + cluster_index + 'Z')[ev_num][:,:]\n",
    "    tmp_cscClusterSize =  T.array('cscRechitCluster' + cluster_index + 'Size')[ev_num][:,:]\n",
    "    \n",
    "    cl_in_ME11[k] = (tmp_cscClusterR>100)&(tmp_cscClusterR<275) &(abs(tmp_cscClusterZ)>580)&(abs(tmp_cscClusterZ)<632) \n",
    "    cl_in_ME12[k] = (tmp_cscClusterR>275)&(tmp_cscClusterR<465) &(abs(tmp_cscClusterZ)>668)&(abs(tmp_cscClusterZ)<724)\n",
    "    cl_in_ME13[k] = (tmp_cscClusterR>505)&(tmp_cscClusterR<700) &(abs(tmp_cscClusterZ)>668)&(abs(tmp_cscClusterZ)<724)\n",
    "\n",
    "    cl_in_ME21[k] = (tmp_cscClusterR>139)&(tmp_cscClusterR<345) &(abs(tmp_cscClusterZ)>789)&(abs(tmp_cscClusterZ)<850)\n",
    "    cl_in_ME22[k] = (tmp_cscClusterR>357)&(tmp_cscClusterR<700) &(abs(tmp_cscClusterZ)>791)&(abs(tmp_cscClusterZ)<850)\n",
    "\n",
    "    cl_in_ME31[k] = (tmp_cscClusterR>160)&(tmp_cscClusterR<345) &(abs(tmp_cscClusterZ)>915)&(abs(tmp_cscClusterZ)<970)\n",
    "    cl_in_ME32[k] = (tmp_cscClusterR>357)&(tmp_cscClusterR<700) &(abs(tmp_cscClusterZ)>911)&(abs(tmp_cscClusterZ)<970)\n",
    "\n",
    "    cl_in_ME41[k] = (tmp_cscClusterR>178)&(tmp_cscClusterR<345) &(abs(tmp_cscClusterZ)>1002)&(abs(tmp_cscClusterZ)<1063)\n",
    "    cl_in_ME42[k] = (tmp_cscClusterR>357)&(tmp_cscClusterR<700) &(abs(tmp_cscClusterZ)>1002)&(abs(tmp_cscClusterZ)<1063)\n",
    "    \n",
    "    cl_in_plateau_ME11[k] = cl_in_ME11[k] & (tmp_cscClusterSize>=500)\n",
    "    cl_in_plateau_ME21[k] = cl_in_ME21[k] & (tmp_cscClusterSize>=500)\n",
    "    cl_in_plateau_ME31[k] = cl_in_ME31[k] & (tmp_cscClusterSize>=500)\n",
    "    cl_in_plateau_ME41[k] = cl_in_ME41[k] & (tmp_cscClusterSize>=500)\n",
    "\n",
    "    cl_in_plateau_ME12[k] = cl_in_ME12[k] & (tmp_cscClusterSize>=200)\n",
    "    cl_in_plateau_ME13[k] = cl_in_ME13[k] & (tmp_cscClusterSize>=200)\n",
    "    cl_in_plateau_ME22[k] = cl_in_ME22[k] & (tmp_cscClusterSize>=200)\n",
    "    cl_in_plateau_ME32[k] = cl_in_ME32[k] & (tmp_cscClusterSize>=200)\n",
    "    cl_in_plateau_ME42[k] = cl_in_ME42[k] & (tmp_cscClusterSize>=200)    \n",
    "    \n",
    "    cl_in_plateau[k] = cl_in_plateau_ME11[k] | cl_in_plateau_ME12[k] | cl_in_plateau_ME13[k] | cl_in_plateau_ME21[k] | cl_in_plateau_ME22[k] | cl_in_plateau_ME31[k] | cl_in_plateau_ME32[k] | cl_in_plateau_ME41[k] | cl_in_plateau_ME42[k]\n",
    "\n",
    "    #event level selection: at least 1 cluster fulfilling the condition\n",
    "    sel_ev_new_me1 = (ME1_veto[k]).any()==True\n",
    "    sel_ev_new_me1_pl = (ME1_veto[k] & cl_in_plateau[k]).any()==True\n",
    "    \n",
    "    #now counting the clusters\n",
    "    sel_csccluster_new_me1 = sel_csccluster_old  & sel_ev_new_me1\n",
    "    sel_csccluster_new_me1_pl = sel_csccluster_old  & sel_ev_new_me1_pl\n",
    "    \n",
    "    n_new_cl_me1 = sel_csccluster_new_me1.sum()\n",
    "    n_new_cl_me1_pl = sel_csccluster_new_me1_pl.sum()\n",
    "    \n",
    "   \n",
    "    n_1CSC_ME1[k] = T.array('weight')[ev_num][n_new_cl_me1>0].sum()\n",
    "    n_2CSC_ME1[k] = T.array('weight')[ev_num][n_new_cl_me1>1].sum()\n",
    "    \n",
    "    n_1CSC_ME1_plateau[k] = T.array('weight')[ev_num][n_new_cl_me1_pl>0].sum()\n",
    "    n_2CSC_ME1_plateau[k] = T.array('weight')[ev_num][n_new_cl_me1_pl>1].sum()    \n",
    "    #From now: ask at least 1 cluster!\n",
    "    \n",
    "    #Remove trigger clusters\n",
    "    tr_cluster_mask = (ME1_veto[k] & cl_in_plateau[k] )#[ n_new_cl_me1_pl>1 ]\n",
    "    #no cuts on multiplicity will raise exceptions here\n",
    "    tag_tr_cluster = tmp_cscClusterSize[ tr_cluster_mask==True ][ n_new_cl_me1_pl>0 ][:,0]\n",
    "    new_tmp_cscClusterSize = tmp_cscClusterSize[ n_new_cl_me1_pl>0 ]\n",
    "    tag_tr_cluster_mask = (new_tmp_cscClusterSize == tag_tr_cluster)\n",
    "\n",
    "    sel_csccluster = sel_csccluster_new_me1_pl[ n_new_cl_me1_pl>0 ] & (tag_tr_cluster_mask==False)\n",
    "    sel_tr_csccluster = sel_csccluster_new_me1_pl[ n_new_cl_me1_pl>0 ] & (tag_tr_cluster_mask==True)\n",
    "\n",
    "    ####### Selections only to non-trigger clusters\n",
    "\n",
    "    ### Jet and muon veto\n",
    "    jet_veto_csc = T.array('cscRechitCluster' + cluster_index + 'JetVetoPt')[ev_num][ n_new_cl_me1_pl>0 ]<30\n",
    "    muon_veto_csc = np.logical_not(np.logical_and(T.array('cscRechitClusterMuonVetoPt')[ev_num][ n_new_cl_me1_pl>0 ] >= 30, T.array('cscRechitClusterMuonVetoGlobal')[ev_num][ n_new_cl_me1_pl>0 ]))\n",
    "\n",
    "    if do_jet_veto:\n",
    "        sel_csccluster = sel_csccluster & jet_veto_csc\n",
    "    if do_muon_veto:\n",
    "        sel_csccluster = sel_csccluster & muon_veto_csc\n",
    "\n",
    "    ### Time spread cut\n",
    "    if do_csc_time_spread_cut:\n",
    "        #Run2:\n",
    "        sel_csccluster = np.logical_and(sel_csccluster, T.array('cscRechitCluster' + cluster_index + 'TimeSpreadWeightedAll')[ev_num][ n_new_cl_me1_pl>0 ]<20)\n",
    "        #sel_csccluster = np.logical_and(sel_csccluster, T.array('cscRechitCluster' + cluster_index + 'TimeSpreadWeightedAll')[ev_num][ n_new_cl_me1_pl>0 ]<30)\n",
    "    \n",
    "    ### Time cut\n",
    "    if do_csc_in_time_cut:\n",
    "        sel_csccluster = np.logical_and(sel_csccluster, np.logical_and(\n",
    "            T.array('cscRechitCluster' + cluster_index + 'TimeWeighted')[ev_num][ n_new_cl_me1_pl>0 ]< 12.5, \n",
    "            T.array('cscRechitCluster' + cluster_index + 'TimeWeighted')[ev_num][ n_new_cl_me1_pl>0 ] > -5))    \n",
    "        \n",
    "        \n",
    "        \n",
    "    sel_ev_0lep = (T.array('nLeptons')[ev_num][ n_new_cl_me1_pl>0 ] == 0)\n",
    "    sel_ev[k] = sel_ev_0lep\n",
    "\n",
    "    n_1CSC_ME1_plateau_0lep[k] = T.array('weight')[ev_num][ n_new_cl_me1_pl>0 ][sel_ev_0lep].sum()\n",
    "\n",
    "    ########### SELECTION: EVENTS ############\n",
    "    hlt = T['HLTDecision'].array()[ev_num][ n_new_cl_me1_pl>0 ]    \n",
    "    HLT_CscCluster_Loose = hlt[:,566]\n",
    "    HLT_CscCluster_Medium = hlt[:,567]\n",
    "    HLT_CscCluster_Tight = hlt[:,568]\n",
    "    HLT_L1CSCShower_DTCluster50 = hlt[:,569]\n",
    "    HLT_L1CSCShower_DTCluster75 = hlt[:,570]\n",
    "\n",
    "    n_2CSC_ME1_plateau_0lep[k] = T.array('weight')[ev_num][ n_new_cl_me1_pl>1][ (T.array('nLeptons')[ev_num][ n_new_cl_me1_pl>1 ] == 0) ].sum()   \n",
    "    \n",
    "    #Or of the triggers: starting with the CSC ones\n",
    "    #hlt_sel_ev[k] = np.logical_or(HLT_CscCluster_Loose,np.logical_or(HLT_CscCluster_Medium,HLT_CscCluster_Tight))\n",
    "    if category==2:\n",
    "        hlt_sel_ev[k] = HLT_L1CSCShower_DTCluster50#[ev_num][ n_new_cl_me1_pl>0 ]\n",
    "    else:\n",
    "        hlt_sel_ev[k] = HLT_CscCluster_Loose#[ev_num][ n_new_cl_me1_pl>0 ]\n",
    "     \n",
    "    if k == 'data': sel_ev[k] = np.logical_and(sel_ev[k],hlt_sel_ev[k])\n",
    "    if k == 'data': sel_ev[k] = np.logical_and(sel_ev[k], (T.array('runNum')[ev_num][ n_new_cl_me1_pl>0 ] >=360019))\n",
    "\n",
    "    \n",
    "    if category == 1:\n",
    "        #sel_csccluster includes ONLY the non trigger clusters!!!\n",
    "        sel_ev[k]  = np.logical_and(sel_ev[k],sel_csccluster.sum() >= 1)\n",
    "        hlt_sel_ev[k] = np.logical_and(sel_ev[k],hlt_sel_ev[k])\n",
    "    #elif category == 2:      \n",
    "    #    sel_ev[k]  = np.logical_and(sel_ev[k],sel_csccluster.sum() >= 0)\n",
    "    #    sel_ev[k]  = np.logical_and(sel_ev[k],sel_dtcluster.sum() == 1)\n",
    "    #    hlt_sel_ev[k] = np.logical_and(sel_ev[k],hlt_sel_ev[k])\n",
    "    n_2CSC_ME1_plateau_0lep_hlt[k] = T.array('weight')[ev_num][ n_new_cl_me1_pl>0 ][ sel_ev[k] ].sum()\n",
    "    \n",
    "    ########### BRANCHES ############\n",
    "\n",
    "    #sel_dtcluster = sel_dtcluster & sel_ev[k]\n",
    "    sel_csccluster = sel_csccluster & sel_ev[k]\n",
    "    sel_tr_csccluster = sel_tr_csccluster & sel_ev[k]\n",
    "       \n",
    "    #dtClusterMuonVetoPt[k] = T.array('dtRechitClusterMuonVetoPt')[sel_ev_tmp][sel_dtcluster][ sel_ev[k] ]\n",
    "    #dtClusterJetVetoPt[k] = T.array('dtRechitClusterJetVetoPt')[sel_ev_tmp][sel_dtcluster][ sel_ev[k] ]\n",
    "    #dtClusterPhi[k] = T.array('dtRechitClusterPhi')[sel_ev_tmp][sel_dtcluster][ sel_ev[k] ]\n",
    "    #dtClusterEta[k] = T.array('dtRechitClusterEta')[sel_ev_tmp][sel_dtcluster][ sel_ev[k] ]\n",
    "    #dtClusterSize[k] =  T.array('dtRechitClusterSize')[sel_ev_tmp][sel_dtcluster][ sel_ev[k] ]\n",
    "    #dtClusterTime[k] =  T.array('dtRechitCluster_match_RPCBx_dPhi0p5')[sel_ev_tmp][sel_dtcluster][ sel_ev[k] ]\n",
    "    #dtClusterNStation[k] =  T.array('dtRechitClusterNStation10')[sel_ev_tmp][sel_dtcluster][ sel_ev[k] ]\n",
    "    #dtClusterNHitStation1[k] = T.array('dtRechitClusterNHitStation1')[sel_ev_tmp][sel_dtcluster][ sel_ev[k] ]\n",
    "    #dtCluster_match_MB1hits_0p4[k] = T.array('dtRechitCluster_match_MB1hits_0p4')[sel_ev_tmp][sel_dtcluster][ sel_ev[k] ]\n",
    "    #dtCluster_match_MB1hits_0p5[k] = T.array('dtRechitCluster_match_MB1hits_0p5')[sel_ev_tmp][sel_dtcluster][ sel_ev[k] ]\n",
    "    #dtClusterMet_dPhi[k] =  T.array('dtRechitCluster' + cluster_index + 'Met_dPhi')[sel_ev_tmp][sel_dtcluster][ sel_ev[k] ]\n",
    "    #dtClusterMaxStationRatio[k] = T.array('dtRechitCluster' + cluster_index + 'MaxStationRatio')[sel_ev_tmp][sel_dtcluster][ sel_ev[k] ]\n",
    "        \n",
    "    #cscClusterMuonVetoPt[k] = T.array('cscRechitCluster' + cluster_index + 'MuonVetoPt')[sel_ev_tmp][sel_csccluster][ sel_ev[k] ]\n",
    "    #cscClusterJetVetoPt[k] = T.array('cscRechitCluster' + cluster_index + 'JetVetoPt')[sel_ev_tmp][sel_csccluster][ sel_ev[k] ]\n",
    "    cscClusterPhi[k] = T.array('cscRechitCluster' + cluster_index + 'Phi')[ev_num][ n_new_cl_me1_pl>0 ][sel_csccluster][ sel_ev[k] ]\n",
    "    cscClusterEta[k] = T.array('cscRechitCluster' + cluster_index + 'Eta')[ev_num][ n_new_cl_me1_pl>0 ][sel_csccluster][ sel_ev[k] ]\n",
    "    cscClusterR[k] = np.sqrt(  T.array('cscRechitCluster' + cluster_index + 'X')[ev_num][ n_new_cl_me1_pl>0 ][sel_csccluster]**2 + T.array('cscRechitCluster' + cluster_index + 'Y')[ev_num][ n_new_cl_me1_pl>0 ][sel_csccluster]**2 )[ sel_ev[k] ]\n",
    "    cscClusterZ[k] = T.array('cscRechitCluster' + cluster_index + 'Z')[ev_num][ n_new_cl_me1_pl>0 ][sel_csccluster][ sel_ev[k] ]\n",
    "    cscClusterSize[k] =  T.array('cscRechitCluster' + cluster_index + 'Size')[ev_num][ n_new_cl_me1_pl>0 ][sel_csccluster][ sel_ev[k] ]\n",
    "    cscClusterTime[k] =  T.array('cscRechitCluster' + cluster_index + 'TimeWeighted')[ev_num][ n_new_cl_me1_pl>0 ][sel_csccluster][ sel_ev[k] ]\n",
    "    cscClusterTimeSpread[k] =  T.array('cscRechitCluster' + cluster_index + 'TimeSpreadWeightedAll')[ev_num][ n_new_cl_me1_pl>0 ][sel_csccluster][ sel_ev[k] ]\n",
    "    cscClusterNStation[k] =  T.array('cscRechitCluster' + cluster_index + 'NStation10')[ev_num][ n_new_cl_me1_pl>0 ][sel_csccluster][ sel_ev[k] ]\n",
    "    cscClusterAvgStation[k] =  T.array('cscRechitCluster' + cluster_index + 'AvgStation10')[ev_num][ n_new_cl_me1_pl>0 ][sel_csccluster][ sel_ev[k] ]\n",
    "    cscClusterMaxStation[k] =  T.array('cscRechitCluster' + cluster_index + 'MaxStation')[ev_num][ n_new_cl_me1_pl>0 ][sel_csccluster][ sel_ev[k] ]\n",
    "    cscClusterMet_dPhi[k] =  T.array('cscRechitCluster' + cluster_index + 'Met_dPhi')[ev_num][ n_new_cl_me1_pl>0 ][sel_csccluster][ sel_ev[k] ]\n",
    "    \n",
    "    #convert numpy.darrays to awkward\n",
    "    print(\"start awkward\")\n",
    "    #pre_DNN_padded = awkward.fromiter(T.array('cscRechitCluster' + cluster_index + 'DNN')[ev_num][ n_new_cl_me1_pl>0 ])\n",
    "    pre_DNN_padded = awkward.JaggedArray.fromregular(T.array('cscRechitCluster' + cluster_index + 'DNN')[ev_num][ n_new_cl_me1_pl>0 ])\n",
    "    \n",
    "    #mask invalid DNN scores of zero padded stuff\n",
    "    print(\"done!\")\n",
    "    pre_DNN_padded_mask = pre_DNN_padded > -.999\n",
    "    DNN_padded = pre_DNN_padded[pre_DNN_padded_mask]\n",
    "    #apply selections\n",
    "    cscClusterDNN[k] = DNN_padded[sel_csccluster][ sel_ev[k] ]\n",
    "    nCscClusters[k] = sel_csccluster[ sel_ev[k] ].sum()#[sel_ev[k]]\n",
    "    \n",
    "    tr_cscClusterPhi[k] = T.array('cscRechitCluster' + cluster_index + 'Phi')[ev_num][ n_new_cl_me1_pl>0 ][sel_tr_csccluster][ sel_ev[k] ]\n",
    "    tr_cscClusterEta[k] = T.array('cscRechitCluster' + cluster_index + 'Eta')[ev_num][ n_new_cl_me1_pl>0 ][sel_tr_csccluster][ sel_ev[k] ]\n",
    "    tr_cscClusterR[k] = np.sqrt(  T.array('cscRechitCluster' + cluster_index + 'X')[ev_num][ n_new_cl_me1_pl>0 ][sel_tr_csccluster]**2 + T.array('cscRechitCluster' + cluster_index + 'Y')[ev_num][ n_new_cl_me1_pl>0 ][sel_tr_csccluster]**2 )[ sel_ev[k] ]\n",
    "    tr_cscClusterZ[k] = T.array('cscRechitCluster' + cluster_index + 'Z')[ev_num][ n_new_cl_me1_pl>0 ][sel_tr_csccluster][ sel_ev[k] ]\n",
    "    tr_cscClusterSize[k] =  T.array('cscRechitCluster' + cluster_index + 'Size')[ev_num][ n_new_cl_me1_pl>0 ][sel_tr_csccluster][ sel_ev[k] ]\n",
    "    tr_cscClusterTime[k] =  T.array('cscRechitCluster' + cluster_index + 'TimeWeighted')[ev_num][ n_new_cl_me1_pl>0 ][sel_tr_csccluster][ sel_ev[k] ]\n",
    "    tr_cscClusterTimeSpread[k] =  T.array('cscRechitCluster' + cluster_index + 'TimeSpreadWeightedAll')[ev_num][ n_new_cl_me1_pl>0 ][sel_tr_csccluster][ sel_ev[k] ]\n",
    "    tr_cscClusterNStation[k] =  T.array('cscRechitCluster' + cluster_index + 'NStation10')[ev_num][ n_new_cl_me1_pl>0 ][sel_tr_csccluster][ sel_ev[k] ]\n",
    "    tr_cscClusterAvgStation[k] =  T.array('cscRechitCluster' + cluster_index + 'AvgStation10')[ev_num][ n_new_cl_me1_pl>0 ][sel_tr_csccluster][ sel_ev[k] ]\n",
    "    tr_cscClusterMaxStation[k] =  T.array('cscRechitCluster' + cluster_index + 'MaxStation')[ev_num][ n_new_cl_me1_pl>0 ][sel_tr_csccluster][ sel_ev[k] ]\n",
    "    tr_cscClusterMet_dPhi[k] =  T.array('cscRechitCluster' + cluster_index + 'Met_dPhi')[ev_num][ n_new_cl_me1_pl>0 ][sel_tr_csccluster][ sel_ev[k] ]\n",
    "    tr_cscClusterDNN[k] = DNN_padded[sel_tr_csccluster][ sel_ev[k] ]    \n",
    "    \n",
    "    weight[k] = T.array('weight')[ev_num][ n_new_cl_me1_pl>0 ][ sel_ev[k] ]  \n",
    "    all_weight[k] = T.array('weight')\n",
    "    \n",
    "    if category==1:\n",
    "        dPhi_csc_csc[k] = ( deltaPhi(  cscClusterPhi[k][:,0].flatten(), tr_cscClusterPhi[k][:,0].flatten() ) )\n",
    "        dEta_csc_csc[k] = (  cscClusterEta[k][:,0].flatten() - tr_cscClusterEta[k][:,0].flatten() )\n",
    "        dR_csc_csc[k]   = deltaR( cscClusterEta[k][:,0].flatten(), cscClusterPhi[k][:,0].flatten(), tr_cscClusterEta[k][:,0].flatten(), tr_cscClusterPhi[k][:,0].flatten() )\n",
    "        dt_csc_csc[k]   = (  cscClusterTime[k][:,0].flatten() - tr_cscClusterTime[k][:,0].flatten() )  \n",
    "    n_2CSC_ME1_plateau_0lep_hlt_dphi[k] = T.array('weight')[ev_num][ n_new_cl_me1_pl>0 ][ sel_ev[k]][(  np.abs(dPhi_csc_csc[k])>1.8 ) ].sum()   "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "63ba28e8",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "data\n",
      "\n",
      "\n",
      "Selection \t\t\t Yield \t\t Eff.(%)\n",
      "No cuts\t\t\t\t 15508012.00\t 100.00\n",
      ">=1 CSC\t\t\t\t 15066429.00\t 97.153\n",
      ">=1 CSC (ME1 old)\t\t 13205931.00\t 85.156\n",
      ">=1 CSC (ME1)\t\t\t 13205931.00\t 85.156\n",
      ">=1 CSC (ME1+L1)\t\t 8321409.00\t 53.659\n",
      ">=1 CSC (ME1+L1+0L)\t\t 8262784.00\t 53.281\n",
      "************************************************************\n",
      ">=2 CSC (ME1 old)\t\t 143151.00\t 0.923\n",
      ">=2 CSC (ME1)\t\t\t 143151.00\t 0.923\n",
      ">=2 CSC (ME1+L1)\t\t 86693.00\t 0.559\n",
      ">=2 CSC (ME1+L1+0L)\t\t 86133.00\t 0.555\n",
      ">=2 CSC (ME1+L1+0L+HLT)\t\t 9006.00\t 0.058\n",
      ">=2 CSC (ME1+L1+0L+HLT+dPhi)\t 1302.00\t 0.008\n",
      "\n",
      "\n",
      "signal\n",
      "\n",
      "\n",
      "Selection \t\t\t Yield \t\t Eff.(%)\n",
      "No cuts\t\t\t\t 1118334.97\t 100.00\n",
      ">=1 CSC\t\t\t\t 227016.98\t 20.300\n",
      ">=1 CSC (ME1 old)\t\t 100069.30\t 8.948\n",
      ">=1 CSC (ME1)\t\t\t 100069.30\t 8.948\n",
      ">=1 CSC (ME1+L1)\t\t 38096.93\t 3.407\n",
      ">=1 CSC (ME1+L1+0L)\t\t 37861.34\t 3.386\n",
      "************************************************************\n",
      ">=2 CSC (ME1 old)\t\t 2580.67\t 0.231\n",
      ">=2 CSC (ME1)\t\t\t 2580.67\t 0.231\n",
      ">=2 CSC (ME1+L1)\t\t 1547.68\t 0.138\n",
      ">=2 CSC (ME1+L1+0L)\t\t 1537.41\t 0.137\n",
      ">=2 CSC (ME1+L1+0L+HLT)\t\t 1440.15\t 0.129\n",
      ">=2 CSC (ME1+L1+0L+HLT+dPhi)\t 1296.38\t 0.116\n"
     ]
    }
   ],
   "source": [
    "#print(tree_keys)\n",
    "for k in list(dict.fromkeys(tree_keys)):\n",
    "    \n",
    "    if k==\"signal\":\n",
    "        L = lumi/NEvents['signal']*48.58\n",
    "        den = signal_gen_yield\n",
    "    else:\n",
    "        L = 1\n",
    "        den = np.sum(all_weight[k])\n",
    "    print(\"\\n\")\n",
    "    print(k)\n",
    "    print(\"\\n\")\n",
    "    print(\"Selection \\t\\t\\t Yield \\t\\t Eff.(%)\")\n",
    "    print(\"%s\\t\\t\\t\\t %.2f\\t %.2f\" % (\"No cuts\",(np.sum(all_weight[k])*L) , (100*np.sum(all_weight[k])*L)/den))\n",
    "\n",
    "    print(\"%s\\t\\t\\t\\t %.2f\\t %.3f\" % \n",
    "      (\">=1 CSC\", \n",
    "       (np.sum(n_1CSC[k])*L) , \n",
    "       (100*np.sum(n_1CSC[k])*L)/den)\n",
    "     )\n",
    "    print(\"%s\\t\\t %.2f\\t %.3f\" % \n",
    "      (\">=1 CSC (ME1 old)\", \n",
    "       (np.sum(n_1CSC_ME1_old[k])*L) , \n",
    "       (100*np.sum(n_1CSC_ME1_old[k])*L)/den)\n",
    "     )\n",
    "    print(\"%s\\t\\t\\t %.2f\\t %.3f\" % \n",
    "      (\">=1 CSC (ME1)\", \n",
    "       (np.sum(n_1CSC_ME1[k])*L) , \n",
    "       (100*np.sum(n_1CSC_ME1[k])*L)/den)\n",
    "     )\n",
    "\n",
    "    print(\"%s\\t\\t %.2f\\t %.3f\" % \n",
    "      (\">=1 CSC (ME1+L1)\", \n",
    "       (np.sum(n_1CSC_ME1_plateau[k])*L) , \n",
    "       (100*np.sum(n_1CSC_ME1_plateau[k])*L)/den)\n",
    "     )\n",
    "    \n",
    "    print(\"%s\\t\\t %.2f\\t %.3f\" % \n",
    "      (\">=1 CSC (ME1+L1+0L)\", \n",
    "       (np.sum(n_1CSC_ME1_plateau_0lep[k])*L) , \n",
    "       (100*np.sum(n_1CSC_ME1_plateau_0lep[k])*L)/den)\n",
    "     )\n",
    "    print(\"************************************************************\")\n",
    "    print(\"%s\\t\\t %.2f\\t %.3f\" % \n",
    "      (\">=2 CSC (ME1 old)\", \n",
    "       (np.sum(n_2CSC_ME1_old[k])*L) , \n",
    "       (100*np.sum(n_2CSC_ME1_old[k])*L)/den)\n",
    "     )\n",
    "    print(\"%s\\t\\t\\t %.2f\\t %.3f\" % \n",
    "      (\">=2 CSC (ME1)\", \n",
    "       (np.sum(n_2CSC_ME1[k])*L) , \n",
    "       (100*np.sum(n_2CSC_ME1[k])*L)/den)\n",
    "     )\n",
    "    \n",
    "    print(\"%s\\t\\t %.2f\\t %.3f\" % \n",
    "      (\">=2 CSC (ME1+L1)\", \n",
    "       (np.sum(n_2CSC_ME1_plateau[k])*L) , \n",
    "       (100*np.sum(n_2CSC_ME1_plateau[k])*L)/den)\n",
    "     )\n",
    "\n",
    "\n",
    "    print(\"%s\\t\\t %.2f\\t %.3f\" % \n",
    "      (\">=2 CSC (ME1+L1+0L)\", \n",
    "       (np.sum(n_2CSC_ME1_plateau_0lep[k])*L) , \n",
    "       (100*np.sum(n_2CSC_ME1_plateau_0lep[k])*L)/den)\n",
    "     )\n",
    "    print(\"%s\\t\\t %.2f\\t %.3f\" % \n",
    "      (\">=2 CSC (ME1+L1+0L+HLT)\", \n",
    "       (np.sum(n_2CSC_ME1_plateau_0lep_hlt[k])*L) , \n",
    "       (100*np.sum(n_2CSC_ME1_plateau_0lep_hlt[k])*L)/den)\n",
    "     )\n",
    "    \n",
    "    print(\"%s\\t %.2f\\t %.3f\" % \n",
    "      (\">=2 CSC (ME1+L1+0L+HLT+dPhi)\", \n",
    "       (np.sum(n_2CSC_ME1_plateau_0lep_hlt_dphi[k])*L) , \n",
    "       (100*np.sum(n_2CSC_ME1_plateau_0lep_hlt_dphi[k])*L)/den)\n",
    "     )\n",
    "    \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "73cb4e43",
   "metadata": {},
   "outputs": [],
   "source": [
    "colors = {}\n",
    "colors['data'] = 1\n",
    "colors['signal'] = 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "d34ca14a",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/nfs/dust/cms/user/lbenato/anaconda3/envs/run3/lib/python3.7/site-packages/root_numpy/_hist.py:76: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  ROOT.AsCObject(hist), array, weights, return_indices)\n",
      "/nfs/dust/cms/user/lbenato/anaconda3/envs/run3/lib/python3.7/site-packages/root_numpy/_hist.py:76: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  ROOT.AsCObject(hist), array, weights, return_indices)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "data\n",
      "[1 1 1 1 1 1 1 1 1 1 2 1 1 1 1 1 2 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1\n",
      " 2 1 1 3 1 1 1 1 1 1 1 2 1 1 1 1 1 1 1 1 1 1 2 1 1 1 1 1 2 2 3 1 1 1 1 1 3\n",
      " 1 1 1 1 2 1 2 1 1 1 1 1 1 1 1 1 1 1 2 1 1 1 1 1 2 1 1 1 3 1 1 3 1 2 1 1 1\n",
      " 1 1 2 1 1 1 1 1 2 1 1 1 2 1 1 1 4 1 1 1 1 1 1 1 1 1 1 2 1 1 1 1 1 1 2 1 1\n",
      " 2 1 1 1 1 1 1 1 1 3 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 1 1\n",
      " 1 1 1 1 3 1 1 1 1 1 1 1 1 1 1 3 1 1 1 1 1 2 1 1 1 1 1 1 1 1 1 1 1 1 1 2 1\n",
      " 1 1 1 1 1 2 1 1 1 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1\n",
      " 1 1 2 1 1 1 1 1 3 1 2 1 1 1 1 1 1 1 1 2 1 1 1 1 1 1 1 1 1 2 1 1 1 1 2 1 1\n",
      " 1 1 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 1 2 1 2 1 1 4 1\n",
      " 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 3 1 1 1 1 1 1 2 1 1 1 1 1 3 1 1 1 1\n",
      " 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 1 1 1 1 1 1 1 1 1 1 1 1 2 1\n",
      " 1 1 1 1 1 1 1 1 2 1 1 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 2 1 1 1 1\n",
      " 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 1 1 1 1 1 1 1 1 1 1 1 1 2 1\n",
      " 1 1 2 1 1 1 1 3 1 1 1 1 1 1 1 1 1 1 1 1 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1\n",
      " 1 1 3 1 1 1 1 1 1 1 1 1 3 1 1 1 1 1 1 1 1 1 1 1 1 2 1 1 1 3 3 2 1 1 1 1 1\n",
      " 1 2 1 1 1 1 1 2 3 2 1 1 1 1 1 1 1 1 1 1 2 2 1 1 1 1 1 1 1 2 1 2 1 1 1 1 1\n",
      " 1 1 1 2 1 1 1 1 3 1 1 1 1 1 1 1 1 1 1 1 1 3 2 1 2 1 1 1 1 2 1 2 2 1 1 2 1\n",
      " 1 1 1 1 1 4 1 1 1 1 1 2 1 1 2 1 1 1 1 2 1 1 1 1 1 1 2 3 1 1 2 1 1 1 1 1 1\n",
      " 1 1 1 1 1 2 2 1 1 1 1 1 1 1 2 1 1 1 1 1 3 1 1 1 1 1 1 1 1 1 1 1 1 1 3 1 1\n",
      " 1 1 1 1 2 1 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 1 1 1 1 2 1 2 2 1 1 1 3 1\n",
      " 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 1 1 1 1 1\n",
      " 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 3 2 1 1 2 1 1 1 1 1 1 1 1 1 2 1\n",
      " 1 1 1 1 1 2 1 1 1 3 1 2 1 1 1 1 1 1 1 1 2 1 3 1 2 1 1 1 1 1 1 1 1 1 1 1 1\n",
      " 1 1 1 1 1 2 1 1 1 1 1 1 1 1 2 1]\n",
      "signal\n",
      "[2 2 1 1 2 1 1 3 1 1 1 3 1 3 2 2 1 1 2 3 1 3 1 3 1 2 1 2 3 3 1 2 1 2 2 1 3\n",
      " 1 2 2 1 3 1 3 1 2 2 1 2 3 2 1 3 1 2 1 1 1 1 1 2 1 1 2 3 1 3 3 2 2 2 1 2 1\n",
      " 2 2 1 2 1 1 1 1 2 1 1 2 2 3 2 2 2 2 2 1 2 1 1 2 2 1 1 1 1 3 3 1 2 2 2 1 1\n",
      " 1 1 1 1 2 2 1 2 2 1 1 1 2 2 1 2 2 1 2 1 2 3 3 2 1 2 1 1 1 2 2 1 3 2 2 2 1\n",
      " 3 1 2 1 2 1 1 2 3 2 2 1 3 1 1 2 2 1 1 1 1 2 1 2 2 1 3 1 2 3 2 3 1 2 3 2 2\n",
      " 1 1 1 2 2 1 2 2 1 1 2 2 1 1 1 1 1 1 3 1 1 3 1 3 1 3 2 2 1 2 1 3 2 1 2 1 1\n",
      " 1 1 1 1 1 1 2 1 2 3 1 2 1 1 2 1 1 1 1 2 1 3 2 1 1 2 1 2 2 1 2 1 1 1 1 2 1\n",
      " 2 1 2 2 2 1 1 1 2 2 2 1 1 2 1 1 1 2 1 1 2 2 2 1 2 3 1 2 1 1 3 1 2 2 2 2 1\n",
      " 1 2 2 2 1 1 1 2 2 1 3 2 1 1 1 2 3 3 2 2 3 1 2 2 1 1 1 2 2 2 2 1 1 1 3 1 2\n",
      " 2 2 1 1 1 1 1 2 1 1 1 2 1 1 2 2 2 1 1 1 1 1 2 2 1 1 1 2 1 1 1 2 1 1 1 2 2\n",
      " 2 2 1 2 2 1 1 3 1 2 2 1 1 2 1 1 3 2 1 2 2 2 1 2 1 2 2 1 2 1 3 1 1 1 2 3 2\n",
      " 3 2 3 1 2 2 2 2 2 3 3 2 1 3 1 1 1]\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/nfs/dust/cms/user/lbenato/anaconda3/envs/run3/lib/python3.7/site-packages/root_numpy/_hist.py:76: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  ROOT.AsCObject(hist), array, weights, return_indices)\n",
      "/nfs/dust/cms/user/lbenato/anaconda3/envs/run3/lib/python3.7/site-packages/root_numpy/_hist.py:76: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  ROOT.AsCObject(hist), array, weights, return_indices)\n",
      "/nfs/dust/cms/user/lbenato/anaconda3/envs/run3/lib/python3.7/site-packages/root_numpy/_hist.py:76: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  ROOT.AsCObject(hist), array, weights, return_indices)\n",
      "/nfs/dust/cms/user/lbenato/anaconda3/envs/run3/lib/python3.7/site-packages/root_numpy/_hist.py:76: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  ROOT.AsCObject(hist), array, weights, return_indices)\n",
      "/nfs/dust/cms/user/lbenato/anaconda3/envs/run3/lib/python3.7/site-packages/root_numpy/_hist.py:76: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  ROOT.AsCObject(hist), array, weights, return_indices)\n",
      "/nfs/dust/cms/user/lbenato/anaconda3/envs/run3/lib/python3.7/site-packages/root_numpy/_hist.py:76: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  ROOT.AsCObject(hist), array, weights, return_indices)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "data\n",
      "[1 1 1 2 1 1 3 1 1 1 1 1 1 1 1 1 3 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 1\n",
      " 2 1 1 3 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 2 1 1 1 2 1 1 1 1 1 1 1 1 1 2 1 1 1\n",
      " 1 1 1 1 1 1 1 1 2 1 1 1 1 1 1 1 1 1 1 1 1 1 3 1 1 1 1 2 3 1 1 2 1 1 1 1 1\n",
      " 1 1 1 1 1 1 1 1 1 1 1 1 2 3 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 1 1\n",
      " 2 1 1 1 2 1 1 1 1 1 1 1 1 1 1 1 1 2 1 1 1 1 1 1 1 1 1 1 2 1 1 1 1 1 1 1 1\n",
      " 1 1 1 1 1 1 2 1 1 1 1 2 1 1 1 1 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2\n",
      " 1 1 2 2 1 1 1 1 1 1 1 1 1 1 1 1 2 1 1 1 1 1 1 1 1 1 1 1 2 1 1 1 1 1 1 1 1\n",
      " 1 1 2 1 1 1 1 1 1 1 2 1 1 1 1 1 1 1 1 2 1 1 3 1 1 1 1 1 1 3 1 1 1 1 2 1 1\n",
      " 1 2 1 1 3 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 1 1 1 1 1 1 1 2 1\n",
      " 1 1 1 2 2 1 1 1 1 1 1 1 2 2 1 1 2 1 1 1 1 1 1 1 1 1 1 1 1 2 1 2 3 1 1 1 1\n",
      " 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 1 1 1 1 1 1 1 1 2 1 3 1 1 1\n",
      " 1 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 3 1 2 2 3 1 1 1 1 1 1 1 1\n",
      " 1 1 1 1 1 1 2 1 2 1 1 1 1 1 1 1 1 1 2 1 1 1 1 1 1 1 1 1 1 2 1 1 2 2 2 1 3\n",
      " 1 1 3 1 1 1 1 1 1 3 1 2 1 1 1 1 1 1 1 1 3 1 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1\n",
      " 2 3 1 1 3 1 1 1 1 1 1 1 3 1 1 1 1 1 1 1 1 1 4 1 1 1 1 1 1 1 1 2 3 1 1 2 1\n",
      " 1 1 1 1 1 1 1 2 1 1 1 1 1 1 1 1 1 1 2 1 1 1 1 1 3 1 1 1 1 3 2 1 1 1 1 1 1\n",
      " 1 2 1 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 1 1 1 1 1 1 1 1 1 1 3 1 1 1 3\n",
      " 1 1 1 1 1 4 1 1 1 1 1 1 1 1 2 1 1 1 1 2 1 3 1 1 1 1 1 2 1 1 2 1 1 3 1 1 1\n",
      " 3 1 1 1 1 2 1 1 1 1 1 1 3 2 1 1 1 2 1 1 1 1 1 1 2 1 1 1 1 1 1 1 1 3 1 1 1\n",
      " 1 1 1 2 1 1 3 1 1 1 1 1 1 1 1 1 2 1 1 1 1 2 1 2 1 1 1 1 1 1 1 1 1 1 1 2 2\n",
      " 1 1 1 1 1 1 1 1 1 1 1 1 2 1 1 1 2 1 1 1 1 1 1 1 1 2 1 1 1 1 1 1 1 1 2 1 1\n",
      " 1 1 1 1 1 1 1 2 1 1 1 1 1 1 1 1 1 1 1 1 1 2 1 2 1 1 2 1 2 1 1 1 1 1 3 2 1\n",
      " 1 1 3 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 1 2 2 1 1 2 1 1\n",
      " 1 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1]\n",
      "signal\n",
      "[1 1 2 2 1 1 1 3 1 1 1 1 2 1 3 1 1 1 1 2 1 2 2 1 1 1 2 1 2 1 2 1 1 1 1 2 3\n",
      " 1 2 1 1 2 2 1 1 2 2 3 2 1 2 2 1 2 2 3 1 1 2 2 2 2 2 2 2 1 1 3 2 2 2 2 1 1\n",
      " 2 1 1 3 1 2 2 1 2 1 3 2 1 2 1 2 3 2 2 2 1 1 3 3 1 2 1 3 1 1 1 2 3 1 3 2 2\n",
      " 1 1 2 2 3 2 1 1 2 1 1 2 1 2 1 3 2 1 2 2 2 2 2 1 2 2 1 2 1 3 1 2 3 1 1 1 1\n",
      " 2 3 2 2 2 1 2 3 2 2 1 2 2 1 3 3 2 1 2 2 3 1 2 3 2 2 1 1 2 1 3 2 2 3 2 3 2\n",
      " 1 1 1 1 1 3 1 2 2 1 1 2 1 1 2 3 2 1 1 2 1 2 1 1 1 1 1 2 2 2 2 2 2 2 2 1 2\n",
      " 2 1 2 3 1 2 2 1 3 1 2 1 3 2 1 1 1 2 2 1 1 2 2 2 2 2 3 1 3 2 2 2 1 2 1 2 3\n",
      " 3 2 2 1 3 1 2 1 1 2 2 2 1 2 1 1 2 2 2 1 3 1 2 1 2 1 2 1 2 2 1 1 2 1 1 2 1\n",
      " 1 3 3 1 1 2 1 1 2 1 1 2 2 1 2 2 2 1 1 1 1 1 3 1 2 1 1 2 2 1 2 2 2 2 1 3 2\n",
      " 2 1 1 2 1 2 2 1 1 3 3 2 1 2 1 2 2 2 1 2 2 1 2 2 2 2 2 2 1 2 2 1 1 1 1 2 1\n",
      " 2 1 2 1 1 1 1 1 1 2 1 3 1 3 2 3 3 3 1 1 2 2 2 2 2 1 1 2 2 2 1 3 2 2 2 2 2\n",
      " 2 1 1 2 2 2 3 2 1 2 3 3 1 2 1 1 2]\n",
      "data\n",
      "[-2.         2.        -4.         2.         2.         4.\n",
      " -3.        -4.         2.        -2.        -2.6958394  4.\n",
      " -3.         2.         4.         4.        -3.07       3.487805\n",
      " -1.         4.        -3.        -3.        -3.         4.\n",
      " -2.        -3.         2.         2.        -4.        -3.\n",
      " -3.        -2.         2.        -2.        -2.         4.\n",
      " -2.         3.4429657  3.        -4.        -2.3245902 -2.\n",
      " -3.        -3.         4.        -2.         4.         4.\n",
      "  2.4915254 -4.        -3.         2.         3.         2.\n",
      "  3.        -2.        -3.        -4.        -4.         3.6304348\n",
      " -2.         3.         4.         4.        -4.        -2.2181818\n",
      " -3.2713177  3.2830188  3.        -2.        -3.        -2.\n",
      " -2.         3.0169492 -4.        -3.         3.        -3.\n",
      "  2.4675324  2.        -2.3137255  2.         4.         2.\n",
      "  4.        -3.         3.         3.         4.        -4.\n",
      " -4.         2.        -3.2068965  4.        -4.         4.\n",
      "  4.         3.         2.5339806 -2.         3.         4.\n",
      " -2.724138   4.         2.         3.596591   4.         3.8932385\n",
      "  2.         4.        -3.         4.        -2.        -2.3061225\n",
      "  3.         2.        -2.        -4.         2.         3.52\n",
      " -2.        -2.        -2.         3.2666667  2.         4.\n",
      " -3.        -3.0318353 -2.         3.        -3.        -3.\n",
      "  4.         2.        -3.        -3.        -2.        -2.\n",
      "  3.7702703  2.         2.         4.         3.         3.\n",
      "  4.        -2.9506726  2.         4.        -2.388535   4.\n",
      " -1.        -3.         4.        -3.        -2.         2.\n",
      " -3.        -2.9509394 -2.         2.         3.         3.\n",
      "  4.         1.        -2.         4.        -3.         2.\n",
      " -4.        -4.        -2.        -4.        -4.         3.\n",
      "  3.        -2.         2.         4.        -3.        -4.\n",
      " -2.         4.        -3.4067798  2.        -2.         3.\n",
      " -2.         4.         1.        -3.2692308 -2.         3.\n",
      "  3.        -4.        -2.         2.         4.        -4.\n",
      " -2.        -2.         2.704762   4.         3.        -2.\n",
      "  2.        -4.         2.747826  -2.        -2.         3.\n",
      " -2.        -2.        -3.         2.         4.         4.\n",
      " -2.         4.        -2.         3.        -3.482143   3.\n",
      "  3.        -2.        -4.         4.         2.         3.5809247\n",
      " -2.         2.        -4.         2.2444444 -4.        -2.\n",
      "  3.         3.        -4.        -3.        -4.        -4.\n",
      "  2.        -4.        -4.        -3.        -2.         2.\n",
      "  2.         2.        -2.         4.         2.         3.\n",
      " -3.        -2.         2.         4.         2.         3.\n",
      " -4.         4.        -4.         1.7674419 -4.        -2.\n",
      " -3.         3.        -2.         2.5466666  4.         3.4603174\n",
      "  2.        -4.         3.        -2.        -3.        -2.\n",
      " -2.        -3.        -2.6041667  2.         4.         4.\n",
      " -2.         3.        -4.        -4.        -4.        -4.\n",
      "  3.9126213 -3.        -2.        -2.         4.        -2.7666667\n",
      "  2.         3.         4.        -3.        -3.2790697 -4.\n",
      "  4.        -3.        -4.        -2.        -2.        -2.\n",
      " -4.        -4.        -4.        -2.         1.         2.\n",
      "  4.         2.        -3.         4.        -3.        -4.\n",
      "  3.         4.        -3.        -2.        -2.        -3.\n",
      "  3.212766   2.         2.131579   3.        -2.7209303 -2.\n",
      "  2.         2.8       -1.         2.         4.        -4.\n",
      " -2.        -4.         3.         3.         4.        -2.\n",
      "  2.        -4.         3.        -2.         4.         4.\n",
      "  4.        -2.         2.        -2.         2.2085562 -4.\n",
      " -2.         2.        -3.        -2.        -4.        -2.1935484\n",
      "  2.        -4.        -2.        -4.         4.         1.754491\n",
      "  2.         2.        -3.         4.         2.        -2.\n",
      " -4.         3.        -4.        -2.         4.        -4.\n",
      " -3.         2.         2.        -3.        -3.        -2.\n",
      "  2.        -2.        -2.        -4.         3.        -3.\n",
      " -2.        -2.        -3.974886  -2.         1.        -2.\n",
      " -3.        -3.        -4.        -4.         3.         2.\n",
      "  2.         4.         3.         3.7363636 -4.         4.\n",
      " -2.         2.        -4.         3.        -3.         4.\n",
      "  4.         2.904348  -4.         4.         3.7523808 -3.\n",
      " -4.         3.         4.        -2.        -4.        -2.\n",
      "  3.        -4.         2.         4.        -2.        -4.\n",
      " -4.        -3.         4.        -4.        -4.        -3.\n",
      " -2.3534484  3.6190476  3.        -2.        -2.         2.\n",
      "  4.        -3.        -4.         2.        -1.        -3.\n",
      " -4.        -2.         4.        -2.        -1.        -2.\n",
      " -2.         3.         2.        -2.         2.        -2.\n",
      "  3.         4.         2.        -3.        -2.9803922  2.\n",
      " -2.         4.         4.         3.         2.        -2.\n",
      " -2.        -2.        -2.        -2.         3.        -1.64\n",
      " -4.        -3.        -2.         3.490196   4.        -2.\n",
      " -3.        -3.        -2.92      -4.        -4.        -2.\n",
      "  3.        -1.         2.         4.         3.        -2.\n",
      "  3.        -2.        -2.        -3.75      -3.        -4.\n",
      " -2.         2.         4.        -4.         2.        -2.\n",
      " -2.        -2.         4.        -4.         3.         4.\n",
      " -2.         3.         3.        -4.        -3.2479079 -4.\n",
      " -1.        -2.         4.        -3.        -2.         4.\n",
      "  4.        -4.         3.25      -3.        -4.        -2.\n",
      " -3.        -2.        -4.        -2.        -4.        -3.\n",
      " -1.        -3.        -2.         2.9738562 -3.        -2.\n",
      " -2.         2.925926   2.8715954 -2.313433  -2.        -3.\n",
      " -3.         3.         3.        -3.        -2.1889763 -2.\n",
      "  4.         2.         4.         2.         2.229885   2.7924528\n",
      " -3.3035715  4.         4.         2.        -3.         2.\n",
      " -4.        -3.         2.        -3.        -3.         2.0647774\n",
      "  3.1914062 -2.        -3.         2.         2.         3.\n",
      "  4.        -3.        -2.7924528  4.         2.25      -2.\n",
      " -2.         2.        -4.         3.        -3.         2.\n",
      " -3.        -2.5531914 -3.         4.         2.        -2.\n",
      " -3.        -4.         1.        -3.        -4.        -2.\n",
      "  3.        -2.         2.         2.         4.        -2.\n",
      "  2.        -2.898039  -3.8384616 -3.        -3.5        4.\n",
      " -3.        -2.        -3.        -3.1629214 -4.        -3.8\n",
      " -3.4334974  3.        -2.        -2.4444444  3.        -2.\n",
      " -2.        -3.         3.        -3.         2.8888888  4.\n",
      "  4.        -2.        -2.        -2.        -2.717514  -4.\n",
      " -2.         3.7894738 -2.        -2.         3.         4.\n",
      " -2.44       2.         2.         3.         3.        -2.\n",
      "  2.         1.0676923 -3.2704546 -2.        -4.         2.817073\n",
      " -4.         3.        -4.        -3.        -3.         4.\n",
      "  2.         2.         4.        -3.        -3.         3.7375\n",
      " -2.3617022 -4.         2.        -2.         4.         2.\n",
      " -4.        -2.        -2.1923077 -3.        -4.         2.\n",
      "  2.        -2.        -3.0759494  3.        -3.        -4.\n",
      " -2.         3.        -2.         4.        -2.         4.\n",
      "  3.        -3.        -4.        -4.         2.6236558  2.\n",
      " -3.         4.         3.         2.        -3.         3.744681\n",
      "  2.        -3.2920353 -1.         3.         2.        -2.\n",
      " -3.         3.         4.        -2.        -2.         4.\n",
      "  2.         2.        -2.        -2.        -2.        -2.\n",
      "  3.1780605 -2.        -3.         3.        -2.        -3.9515278\n",
      " -2.         3.1612904  2.4       -2.        -2.        -2.\n",
      " -3.25      -3.         4.         3.        -4.        -2.\n",
      " -2.        -4.        -2.         3.         3.        -2.\n",
      " -1.        -4.         4.         4.        -2.        -2.9633803\n",
      " -4.        -4.         2.        -3.        -2.         2.\n",
      " -2.        -2.         2.        -2.         3.         3.\n",
      " -1.         4.        -2.         3.8275862 -1.        -2.\n",
      "  2.        -2.         2.        -3.        -2.        -2.\n",
      " -3.         2.         2.        -3.         2.        -2.\n",
      "  4.        -2.        -3.         4.        -3.         2.\n",
      " -4.        -2.        -3.        -3.         2.         2.\n",
      "  1.4897959 -3.2708333 -2.         2.         3.117284  -3.\n",
      "  2.        -4.        -4.         3.         2.         4.\n",
      " -3.        -4.         2.5333333  2.        -2.         4.\n",
      "  4.        -4.        -2.         2.6538463  4.        -4.\n",
      " -4.        -2.251282   3.         1.5625    -2.        -3.\n",
      "  3.        -3.         4.         2.        -4.        -3.\n",
      "  3.952823  -2.         2.852459  -3.        -3.6785715 -4.\n",
      " -2.        -3.         2.        -3.        -2.         4.\n",
      " -3.        -2.         4.        -2.         2.         2.\n",
      " -2.         3.        -2.         2.        -3.7843137 -3.\n",
      " -2.        -2.        -2.         2.        -2.         2.\n",
      "  4.        -3.2382996 -2.       ]\n",
      "signal\n",
      "[-3.5614567 -3.432271   3.         2.        -3.2340426  1.\n",
      " -4.        -2.7415254 -2.         1.        -2.        -2.8942308\n",
      " -1.         2.2965117  2.8422713  3.7357259  2.         1.\n",
      "  1.375     -2.6165414  2.        -1.503212  -4.         2.3188548\n",
      " -4.         3.5018728  1.         2.0569308  3.0194175  2.6571429\n",
      " -1.        -2.317152  -2.         2.1840491  3.6189024 -2.\n",
      "  3.2398648 -4.         3.5833333 -3.1170886 -4.         3.1056702\n",
      " -2.        -2.9316547 -4.         3.271688   3.6495957  2.\n",
      "  3.884553   2.6145833  3.4070249  2.        -3.5159574 -2.\n",
      " -2.26539   -4.        -2.         1.         1.        -3.\n",
      "  3.5876493  4.         4.         3.8833334 -3.044355   4.\n",
      " -2.4034188  2.6912029 -3.4857519 -3.2238095 -2.7191489 -4.\n",
      "  3.26      -1.         3.647287   3.6443038 -2.        -3.121359\n",
      "  4.        -2.        -2.        -2.         3.7209303  2.\n",
      "  2.         3.1804512  2.965732  -2.9414952 -2.1306534  2.1846154\n",
      " -3.5494738  3.5262096 -3.8026316 -3.         3.8252213 -2.\n",
      " -4.        -3.1776938  2.215909   4.         4.        -4.\n",
      "  2.        -2.5582168  3.0867052  2.         1.1213872  2.860335\n",
      " -3.4059525 -1.         1.         1.        -2.         2.\n",
      "  4.         3.9651377 -3.903125   2.        -2.0812325 -1.1454545\n",
      " -4.        -2.        -2.         3.4724092  2.1526315  4.\n",
      "  3.9625     1.2828283  4.        -3.7910447 -3.         2.0917873\n",
      " -2.1359832  2.257384  -3.586308  -1.        -2.3148148 -4.\n",
      " -4.         2.        -3.195122   3.9285715  2.         3.0146627\n",
      " -1.3142858 -3.5199053 -3.5418994  4.        -2.3901582 -2.\n",
      "  3.6088083  2.        -3.4281769  3.         3.         2.4857142\n",
      " -2.468085  -2.7289376 -1.0381862  2.         3.300752  -4.\n",
      "  1.         3.984049  -2.6351352 -2.         2.         2.\n",
      " -4.         2.823077   1.         2.1509433 -2.1012049  1.\n",
      " -3.3696043 -2.        -1.3580247  3.005848   3.252669   2.5\n",
      "  1.         2.035565  -2.433735   3.5574193 -2.0455172 -2.\n",
      " -4.        -2.        -2.1235697 -3.402418  -4.        -2.3834198\n",
      " -3.8537233 -4.        -4.        -1.6892431 -2.174216   2.\n",
      "  1.        -1.         4.        -2.        -1.         2.3807502\n",
      "  1.        -1.        -2.3200884  4.         3.0232558 -2.\n",
      "  3.5452323  2.3247232  2.8461537 -2.        -2.48      -4.\n",
      " -2.6985645  3.3690932  1.         3.053125   2.        -4.\n",
      "  2.        -2.        -1.        -2.         2.        -4.\n",
      "  3.4442308 -2.        -2.643087  -3.7983193  4.        -2.8325124\n",
      "  3.         2.         3.1220658  1.        -1.        -4.\n",
      "  4.         1.828125  -4.        -2.798354   3.1656442  2.\n",
      " -2.         2.1967213 -2.        -3.1527777  1.8656716 -4.\n",
      "  3.235294   4.        -4.        -4.         4.         1.5220126\n",
      " -4.        -2.4642856  3.        -1.2479339 -2.0493827 -2.0349128\n",
      "  1.        -4.        -2.        -2.2038329 -3.406367  -3.680203\n",
      " -4.         4.        -3.587137   4.        -4.        -2.\n",
      "  2.1692307  2.         2.         3.178808   3.235955  -2.11\n",
      " -2.        -2.5266666 -1.7857143 -4.         1.1879195  3.\n",
      " -2.         2.4956195  1.         3.1298702  2.1106384 -3.4310346\n",
      " -2.3157895 -2.        -3.         3.46519    3.4019294  3.2341137\n",
      "  4.         2.         2.        -3.235294  -1.4262295 -2.\n",
      " -3.2965686 -3.803876  -1.        -3.         2.        -3.1478262\n",
      " -3.190678   2.9421487 -3.1385136  3.5972495 -3.5400734 -2.\n",
      "  2.1226158 -3.4712644 -4.         2.        -4.        -3.4626865\n",
      " -3.367442  -2.9204545 -3.866087   4.        -1.         2.\n",
      " -3.3606403  1.        -3.1863637  1.2761194 -2.1355932 -1.\n",
      "  3.         4.         2.         2.         3.2923076  2.\n",
      "  1.        -4.         3.56625    2.         2.         1.1587983\n",
      " -3.445946   3.5540764 -1.        -2.         2.        -1.\n",
      "  2.        -2.1352458 -3.6782334  2.        -1.         2.\n",
      " -3.084577  -2.         2.        -2.         2.16      -4.\n",
      "  2.         3.         3.142857   3.4514134  3.58213   -2.063981\n",
      " -4.        -3.058424   3.416562  -1.         2.         2.2494867\n",
      "  1.        -3.4037735  3.2184875  4.         2.         3.160584\n",
      " -1.        -1.        -2.837838   3.4582677 -1.         3.3937008\n",
      " -2.04       2.6257143 -1.         2.0744681  4.         3.8550725\n",
      " -3.1079733  4.        -2.024176  -4.        -3.1049724 -1.\n",
      " -4.         2.        -3.3090277 -2.5011494  3.7313254  1.4293194\n",
      " -2.0686812  2.977528  -1.         2.0659342  2.5212767  3.074074\n",
      "  2.2257292 -3.1260164 -2.687023  -2.7506926 -2.0451977  2.\n",
      " -2.5878136 -4.         4.         2.       ]\n",
      "data\n",
      "[-2.         2.        -4.         2.2008734  2.         2.\n",
      " -3.        -4.         2.        -2.        -2.         4.\n",
      " -2.         2.         1.         3.        -3.0045662  4.\n",
      " -3.         2.        -3.        -2.        -3.         1.\n",
      " -2.        -3.         2.         2.        -2.        -2.\n",
      " -3.        -3.         2.        -2.        -2.         3.976966\n",
      " -2.         1.988689   2.        -4.        -3.1393034 -2.\n",
      " -2.        -4.         2.        -2.         2.         2.\n",
      "  4.        -2.        -2.         2.         3.         2.\n",
      "  3.        -3.8632288 -3.9388561 -2.        -4.         4.\n",
      " -3.04717    2.         2.         4.        -2.        -2.\n",
      " -2.         4.         3.        -4.        -2.982159  -2.\n",
      " -2.         2.        -4.        -3.         4.        -3.\n",
      "  2.         4.        -2.         2.         3.1761007  3.\n",
      "  4.        -2.         3.         4.         2.        -4.\n",
      " -3.         2.        -1.         2.        -4.         4.\n",
      "  2.8507462  2.         3.        -3.         2.         3.090909\n",
      " -3.2694302  2.         4.         2.1284404  2.         4.\n",
      "  4.         4.        -4.         4.        -2.        -2.\n",
      "  4.         2.        -2.        -2.         2.         4.\n",
      " -2.        -3.        -3.         3.8828125  3.8874803  4.\n",
      " -3.        -2.        -2.         2.        -3.        -2.\n",
      "  2.         3.        -1.        -4.        -2.        -2.\n",
      "  4.         2.         2.         2.         4.         3.\n",
      "  2.        -2.9016395  2.         3.        -3.148148   2.\n",
      " -4.        -4.         2.0745764 -3.        -2.         3.\n",
      " -4.        -3.        -3.         2.         3.         2.\n",
      "  2.         2.        -2.         3.8895967 -2.         2.\n",
      " -2.        -2.        -2.        -2.        -2.         2.\n",
      "  2.        -2.         3.96875    1.        -2.        -2.\n",
      " -3.         4.        -4.         4.        -2.         4.\n",
      " -4.         3.         2.        -2.        -3.         2.951965\n",
      "  2.        -4.        -4.         2.         2.0453172 -3.\n",
      " -2.        -2.         4.         3.939759   2.        -4.\n",
      "  2.        -4.         4.        -2.        -2.         2.\n",
      " -2.        -4.        -2.         2.         4.         2.\n",
      " -2.         3.        -2.         2.        -2.         3.0192926\n",
      "  3.        -2.        -2.9741518  3.1149426  2.         3.\n",
      " -2.         3.        -4.         2.        -3.        -2.\n",
      "  2.         3.        -4.        -2.        -2.0305882 -2.\n",
      "  2.        -4.        -2.        -2.        -2.         2.\n",
      "  2.         2.        -3.         2.         3.2601626  3.\n",
      " -3.        -2.         2.         2.         2.         2.\n",
      " -4.         2.        -2.         3.9436393 -4.        -2.\n",
      " -3.         3.        -2.         2.         2.         3.937304\n",
      "  4.        -2.         4.        -4.        -3.        -2.\n",
      " -3.        -2.        -2.9520295  2.         1.         3.1544716\n",
      " -2.         2.        -4.        -2.        -3.        -4.\n",
      "  2.9472914 -4.        -2.        -2.         2.        -3.963158\n",
      "  2.         3.         2.        -1.8857143 -2.        -2.\n",
      "  3.902439  -2.        -3.        -2.        -2.        -2.\n",
      " -4.        -2.        -2.        -3.         2.         2.\n",
      "  3.         2.        -2.         2.        -3.        -3.\n",
      "  2.         3.        -2.        -2.        -2.        -2.0422077\n",
      "  4.         1.         4.         4.        -4.        -2.\n",
      "  4.         3.9389205 -3.         2.         4.        -3.\n",
      " -2.0271647 -3.9747899  2.         4.         2.        -2.\n",
      "  3.        -4.         1.        -3.285124   2.122449   4.\n",
      "  2.        -2.1016948  2.        -2.         1.        -4.\n",
      " -2.         3.        -2.        -2.        -2.        -4.\n",
      "  2.        -1.        -2.0384614 -2.         3.9869602  3.0255907\n",
      "  2.         2.        -2.         3.         2.        -2.\n",
      " -2.         3.        -2.        -2.         2.        -4.\n",
      " -3.         2.         2.        -3.        -2.        -3.\n",
      "  2.        -2.        -2.        -2.         4.        -3.\n",
      " -2.        -2.        -3.0310965 -2.         4.        -2.\n",
      " -4.        -3.        -2.        -2.         4.         3.9482484\n",
      "  2.         3.8431952  2.         3.        -2.         2.\n",
      " -3.0945945  4.        -4.         2.        -3.         3.\n",
      "  3.         3.        -4.         2.         2.        -2.\n",
      " -4.         2.         2.        -2.        -4.        -2.\n",
      "  3.        -4.         4.         2.        -2.        -3.8333333\n",
      " -2.        -3.9481132  3.8350754 -3.9364676 -4.        -2.\n",
      " -2.         4.         2.        -3.        -3.         2.\n",
      "  2.        -3.        -1.         4.        -3.        -2.\n",
      " -3.7331023 -3.         2.1830986 -2.        -3.        -2.\n",
      " -4.         3.         2.        -2.         2.        -3.\n",
      "  2.035278   2.         2.        -2.        -2.         2.\n",
      " -2.         2.         4.         2.         2.        -3.0714285\n",
      " -2.        -2.        -2.024     -2.011008   3.1722054 -4.\n",
      " -2.9618645 -2.        -3.         3.8718355  3.        -4.\n",
      " -4.        -3.        -2.        -2.        -3.9153175 -2.\n",
      "  2.0464287 -3.         2.         2.         2.        -2.\n",
      "  2.        -2.        -2.        -2.8677685 -3.        -3.9369931\n",
      " -2.         3.         4.        -4.         2.        -2.\n",
      " -2.        -2.         2.        -4.         2.         2.\n",
      " -2.         2.         3.068404  -2.9515505 -3.        -1.\n",
      " -2.8374906 -2.         1.        -3.        -2.         2.\n",
      "  2.        -2.         3.9438202 -2.        -4.        -2.\n",
      " -2.        -2.        -2.        -2.        -2.        -3.\n",
      " -3.5092938 -3.        -2.         3.        -3.        -2.\n",
      " -2.         2.         3.        -3.9332495 -3.7168233 -3.\n",
      " -3.         3.4946694  2.        -2.        -2.        -2.\n",
      "  2.         2.         4.         2.         3.9708295  3.\n",
      " -2.         2.         3.         2.        -2.         2.\n",
      " -2.        -2.         2.        -2.1333334 -2.         1.\n",
      "  3.        -2.        -3.         3.1559634  2.         4.\n",
      "  3.        -2.        -3.8957143  3.9645061  2.        -2.\n",
      " -2.         3.        -4.         3.        -4.         3.9703703\n",
      " -2.        -2.875     -3.         2.         2.        -2.\n",
      " -3.        -2.         3.        -3.        -2.        -2.\n",
      "  2.        -2.         2.         2.         2.        -2.\n",
      "  2.        -2.19056   -4.        -3.        -2.         4.\n",
      " -2.        -4.        -3.        -4.        -2.        -4.\n",
      " -3.1527092  2.        -2.        -2.         3.8584354 -2.\n",
      " -2.        -2.         3.        -2.         3.3636363  2.\n",
      "  2.        -2.        -2.        -2.        -4.        -3.\n",
      " -2.         3.5383043 -2.        -2.         3.         2.\n",
      " -2.0866666  3.         2.9205298  2.         2.        -1.\n",
      "  2.         1.        -2.0743983 -2.        -2.         3.9558823\n",
      " -4.         3.        -3.924551  -2.        -2.         3.\n",
      "  3.8257425  2.         4.        -4.        -2.         3.0463321\n",
      " -2.        -3.         3.        -3.         2.         4.\n",
      " -2.9134948 -2.087912  -2.        -4.        -4.         2.040964\n",
      "  2.        -2.        -2.         4.        -3.        -2.\n",
      " -2.1238937  2.        -2.         4.        -4.         2.\n",
      "  1.        -4.        -2.        -3.0014045  2.         2.\n",
      " -3.         3.         2.         2.        -3.9602385  2.\n",
      "  2.        -3.2165606 -2.         2.         2.        -2.\n",
      " -2.         2.         2.        -2.        -1.         3.727422\n",
      "  2.         2.        -2.        -4.        -2.090909  -2.\n",
      "  3.986207  -2.        -2.         2.        -2.        -4.\n",
      " -2.         4.         2.        -2.        -4.        -4.\n",
      " -3.923445  -2.0377953  3.         3.        -4.        -1.\n",
      " -2.        -2.        -2.         3.         4.        -2.\n",
      " -3.        -4.         3.032967   2.        -2.        -3.\n",
      " -2.0451612 -4.         2.        -3.        -4.         3.\n",
      " -3.        -4.         2.        -3.0869565  2.         2.\n",
      " -4.         4.        -2.         1.        -4.        -2.\n",
      "  3.9570093 -3.         2.        -3.        -2.        -3.\n",
      " -2.         3.         2.        -4.         2.99262   -2.\n",
      "  4.        -3.        -3.         3.        -3.         2.\n",
      " -2.        -1.        -3.        -2.         2.         2.\n",
      "  3.2373924 -2.        -3.844898   4.         3.        -3.9395666\n",
      "  2.        -3.9204051 -3.         2.         2.         4.\n",
      " -3.        -3.2171946  3.2568493  2.        -2.         4.\n",
      "  3.9470086 -2.        -2.         4.         3.        -4.\n",
      " -2.        -2.         2.         3.        -2.        -2.\n",
      "  3.        -2.         3.         2.        -2.        -2.\n",
      "  4.        -2.         2.        -2.        -2.        -3.\n",
      " -2.        -2.         3.0735295 -2.        -3.2674417  3.9544895\n",
      " -3.        -3.         3.957627  -2.         2.         2.\n",
      " -3.9591837  2.        -3.         4.        -2.        -2.\n",
      " -2.        -2.        -2.         2.        -2.         2.\n",
      "  3.        -3.        -2.       ]\n",
      "signal\n",
      "[-2.        -2.         3.961326   3.9553266 -2.         4.\n",
      " -1.        -3.1732674 -4.         1.        -2.        -2.\n",
      " -2.0222428  1.         2.102757   2.         2.         2.\n",
      "  2.        -3.9111843  4.        -3.9745224 -2.0289855  4.\n",
      " -4.         1.         3.9636753  4.         3.7853658  1.\n",
      " -1.0391645 -2.        -2.         2.         2.        -3.9671233\n",
      "  3.0125787 -2.         2.9095478 -4.        -2.         2.0161943\n",
      " -3.2899628 -2.        -4.         3.90625    3.239531   3.\n",
      "  2.0224543  2.         2.1224294  3.2866995 -4.        -3.8931751\n",
      " -3.4222631 -2.9523027 -4.         2.         3.9337838 -2.87\n",
      "  3.868526   3.0425532  2.0456204  3.9475524 -1.2027491  4.\n",
      " -4.         2.917923  -3.943609  -2.1296296 -3.050909  -3.8794234\n",
      "  1.        -2.         2.1769383  4.        -1.        -2.970399\n",
      "  4.        -3.2314694 -2.0827587 -3.         3.9267516  2.\n",
      "  3.1624088  3.2213905  2.        -3.2018828 -4.         3.8979058\n",
      " -1.9968153  2.2246697 -3.9873564 -2.0218978  4.        -1.\n",
      " -2.0682523 -2.1804123  4.         3.1495845  4.        -3.0096993\n",
      "  1.        -4.         4.         3.1816547  3.1871455  4.\n",
      " -3.0556931 -2.1835206  1.7918552  4.        -1.         3.9267516\n",
      "  3.1229236  2.870427  -2.0121765  2.        -4.        -3.4438643\n",
      " -2.        -2.        -3.378125   4.         3.3227513  2.\n",
      "  3.1169102  2.0378947  4.        -3.24269   -3.8552036  3.18323\n",
      " -3.1609194  2.1849217 -4.        -3.224762  -3.938983  -1.\n",
      " -3.8648648  2.        -2.1014705  2.         2.168786   3.2770166\n",
      " -2.        -2.        -4.         4.        -2.0408163 -3.1549296\n",
      "  3.8013513  2.0221844 -3.2602193  2.         2.1077585  2.9097745\n",
      " -3.837953  -3.2079208 -4.         2.0131478  3.7357142 -4.\n",
      "  2.0364742  2.9991844 -3.9087894 -2.         3.8576     3.8885136\n",
      " -3.1818182  1.         1.1991342  2.9631474 -3.3553865  1.0947868\n",
      " -1.        -2.        -3.923168   4.         3.4969969  2.109777\n",
      "  3.140187   3.3701687 -3.3759592  2.868217  -2.0109224 -2.\n",
      " -4.        -1.        -4.        -4.        -2.82243   -4.\n",
      " -3.036861  -2.0409713 -2.        -1.        -3.9668193  4.\n",
      "  1.        -2.0456674  2.0935807 -3.915225  -2.         4.\n",
      "  3.9247313 -2.        -3.9588609  4.         4.        -1.\n",
      "  1.         2.         3.282486  -3.4143763 -3.2596538 -3.0721154\n",
      " -3.1143847  2.0225563  3.0980768  3.481188   2.        -2.1125402\n",
      "  3.9017198 -2.        -3.7769518 -2.9789474  4.        -2.1125975\n",
      "  3.148688  -1.        -3.09542   -2.         3.7436974 -3.\n",
      "  3.14899    2.0984457  4.         4.        -4.        -3.2705667\n",
      "  2.024436   4.        -2.        -3.1627908  3.3940716  3.957529\n",
      " -1.0282776  3.3850932 -2.1544607 -2.         2.143488  -3.8729641\n",
      "  3.1252797  3.7711267 -2.        -2.0331326  4.         3.931694\n",
      " -2.1386554 -2.2573912  3.2063158 -3.9482403 -3.        -3.2730682\n",
      "  4.        -2.041096  -1.        -4.        -3.8375452 -3.700587\n",
      " -3.2665017  4.        -3.9668915  4.        -2.        -2.1247988\n",
      "  2.8603175  3.9543147  2.         2.930902   4.        -3.0840707\n",
      " -2.        -3.895     -4.        -3.85       4.         3.5039\n",
      " -3.703631   2.         4.         3.8406708  4.        -2.\n",
      " -3.9088235 -4.        -2.         3.1768901  3.0109205  4.\n",
      "  1.         3.0307693  4.        -2.        -2.0212014 -1.\n",
      " -4.        -3.9317365 -3.9382715 -4.         3.9045937 -3.3650615\n",
      " -3.7420537  4.        -2.         3.        -3.        -1.\n",
      "  3.2795699 -2.        -3.515411   2.        -4.        -2.052\n",
      " -2.969496  -4.        -2.1064816  2.0355191 -1.1475     2.0127118\n",
      " -2.         3.131579  -3.9725142  1.0778341 -4.        -2.\n",
      "  3.950938   2.         3.0633802  3.982353   4.         3.\n",
      "  3.2339902 -2.1685688  3.1578948  1.         3.119891   4.\n",
      " -3.8        3.8216374 -3.2908013 -4.         2.039886  -3.9617736\n",
      "  4.        -2.055944  -2.0538359  3.7258687 -1.9044586  1.0510638\n",
      " -3.2906716 -2.         1.1031746 -1.0320699  2.        -4.\n",
      "  2.         4.         2.1303117  4.         3.4011462 -2.\n",
      " -3.1016598 -2.         1.        -4.         4.         2.\n",
      "  4.        -3.1897926  2.         3.2911766  4.         3.2525988\n",
      " -2.0242326 -2.1368613 -2.8235295  2.1381989 -4.         3.\n",
      " -1.1524476  3.8212209 -3.3468468  3.3950362  3.1684883  4.\n",
      " -2.         3.9595783 -3.192846  -3.7115386 -1.        -3.0556931\n",
      " -1.8888888  3.4527028 -1.0658307 -3.9629629  3.7325583  3.431683\n",
      " -2.         1.        -2.0728643  3.8125     3.2563026  2.806271\n",
      "  3.240029  -1.        -3.308931  -3.2635984 -3.2076614  4.\n",
      " -2.0225847 -2.         1.         3.8970945]\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/nfs/dust/cms/user/lbenato/anaconda3/envs/run3/lib/python3.7/site-packages/root_numpy/_hist.py:76: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  ROOT.AsCObject(hist), array, weights, return_indices)\n",
      "/nfs/dust/cms/user/lbenato/anaconda3/envs/run3/lib/python3.7/site-packages/root_numpy/_hist.py:76: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  ROOT.AsCObject(hist), array, weights, return_indices)\n",
      "/nfs/dust/cms/user/lbenato/anaconda3/envs/run3/lib/python3.7/site-packages/root_numpy/_hist.py:76: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  ROOT.AsCObject(hist), array, weights, return_indices)\n",
      "/nfs/dust/cms/user/lbenato/anaconda3/envs/run3/lib/python3.7/site-packages/root_numpy/_hist.py:76: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  ROOT.AsCObject(hist), array, weights, return_indices)\n",
      "/nfs/dust/cms/user/lbenato/anaconda3/envs/run3/lib/python3.7/site-packages/root_numpy/_hist.py:76: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  ROOT.AsCObject(hist), array, weights, return_indices)\n",
      "/nfs/dust/cms/user/lbenato/anaconda3/envs/run3/lib/python3.7/site-packages/root_numpy/_hist.py:76: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  ROOT.AsCObject(hist), array, weights, return_indices)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "data\n",
      "[2.2621326  2.252377   2.076101   2.0387745  1.3091787  2.0162723\n",
      " 2.0923285  2.1552935  1.2757949  2.1933486  1.232536   2.2320511\n",
      " 2.2417388  2.174534   2.3037276  1.6952006  1.1991864  1.280554\n",
      " 0.9657953  1.3934138  1.4699591  2.2181394  1.4542629  1.9596549\n",
      " 1.3424637  1.5911105  1.2800478  2.2585673  2.193576   1.477185\n",
      " 2.1245203  2.0156834  2.133035   1.3203689  1.1254869  1.4637275\n",
      " 2.3008223  1.2251563  2.1614454  1.3689722  1.1578277  2.3388205\n",
      " 1.4085664  1.9972982  2.0272667  1.9273127  2.1949158  2.220593\n",
      " 1.49734    1.4127189  2.2420938  1.8579242  2.3269267  1.7920749\n",
      " 1.3278073  1.3043275  1.3972361  2.1747308  1.5104094  1.2049718\n",
      " 2.0701115  2.222644   1.9734532  2.1050606  2.21264    1.911318\n",
      " 1.4489232  1.4195412  1.3809106  1.1238766  1.8889422  2.3770227\n",
      " 1.8823777  2.2028897  2.1964457  1.9778632  2.2988522  1.4388889\n",
      " 2.2201912  2.1850564  2.3439584  2.2791474  1.6201867  1.9025084\n",
      " 2.3123038  2.3697457  2.0425541  2.0543761  2.134076   1.9913459\n",
      " 1.9755398  1.6913259  1.4238087  2.2275643  1.9113181  1.602279\n",
      " 1.9316295  1.2231139  1.7551053  2.0046744  2.0891101  2.1800253\n",
      " 1.1879752  2.2742481  2.2779331  1.3713664  1.4867331  2.052361\n",
      " 2.1577518  1.4353269  2.1983511  1.4477719  1.2475808  1.3446693\n",
      " 2.1607978  2.2188897  1.1617724  2.06711    1.1604518  1.5865803\n",
      " 1.2855726  1.0713699  2.0412443  2.0595489  1.4493756  2.0940306\n",
      " 1.9407707  1.2272245  2.2708817  2.0160954  2.2023885  1.2376901\n",
      " 2.0602074  2.289366   2.3210523  1.1464994  2.0218062  1.2772634\n",
      " 2.0542867  1.7015262  1.9784614  2.1405852  1.35756    1.917725\n",
      " 1.4171109  1.2883219  2.2950606  1.9342861  1.1574315  1.2823706\n",
      " 1.0440067  2.1767702  1.475713   2.0297709  1.293775   1.2510725\n",
      " 1.817256   1.2972839  2.0686946  2.1867363  1.3211187  1.9429001\n",
      " 2.2902334  1.0177864  1.8716112  1.9544356  1.3691431  1.9573973\n",
      " 1.2428207  1.2895635  1.1855195  2.0081825  2.071203   1.9872619\n",
      " 1.976618   2.3318222  2.1007404  1.4058266  2.1040692  2.0999136\n",
      " 1.3658395  2.146465   1.4246951  1.1638346  2.252682   1.3924624\n",
      " 1.1734606  2.2185853  1.0420809  2.1202826  1.7778032  2.0914063\n",
      " 1.794798   1.3995951  1.2088184  1.2504336  2.2352352  1.5959456\n",
      " 1.8340714  2.3160975  1.3503428  1.3759382  1.2275542  2.2413986\n",
      " 1.0487889  1.5275038  1.385739   1.3586063  2.041679   1.9664078\n",
      " 2.284842   2.351588   2.3014207  1.8109654  1.3721459  2.2867994\n",
      " 1.4143715  1.3669674  1.298339   2.1637845  2.0572581  2.2377896\n",
      " 1.3741556  2.0730932  1.3159995  1.2613091  1.8928103  1.3797467\n",
      " 2.1088033  2.129919   2.0206418  1.9480964  1.9855994  1.414284\n",
      " 1.5710125  2.1597059  2.1706338  1.9245037  2.1895828  2.0123909\n",
      " 1.9865727  1.3331935  2.0561163  1.5976151  2.1940267  1.3587146\n",
      " 2.2646055  1.5302374  1.2402143  1.9564615  2.1841094  1.4809753\n",
      " 1.445376   1.8957533  2.0281181  1.9975599  2.1599793  2.060355\n",
      " 1.6775228  2.2947178  2.103682   1.0461915  1.4155395  1.1649588\n",
      " 1.8901194  1.953269   2.0983987  1.9414684  2.184339   2.0991778\n",
      " 2.2521813  2.2202716  1.2435727  2.1721022  2.183201   2.301259\n",
      " 1.2307899  2.0570736  2.2167804  2.3098414  2.1854296  1.3504798\n",
      " 1.9512839  2.0500348  2.2167006  2.3050244  1.4531028  2.1922638\n",
      " 1.4979479  1.4776372  1.943991   2.1863134  1.5728161  2.273071\n",
      " 2.0043373  2.2824867  1.606217   1.1735966  2.025565   2.2558703\n",
      " 2.34572    2.331998   2.247144   2.0565372  2.049462   2.3076239\n",
      " 1.7094332  2.1896167  1.5736     2.207169   1.0085196  2.0517833\n",
      " 1.4115617  2.0378604  2.311438   2.0749485  1.9813191  2.0112112\n",
      " 2.260423   1.8334932  2.1646807  2.1521869  2.282551   2.0127096\n",
      " 1.4204499  2.214976   1.7785255  2.2994232  2.1553388  2.1124346\n",
      " 2.306276   1.1947805  1.1206138  2.1585782  2.1846976  1.4495268\n",
      " 2.0046005  1.7122738  1.8420931  1.8654877  2.1211624  1.7623512\n",
      " 2.172586   1.4719088  1.8495913  2.0682404  1.9608021  2.0694864\n",
      " 2.0934403  1.3312693  2.0963266  1.2807765  1.2174144  1.3828524\n",
      " 1.2063681  1.473416   1.3393869  2.1597784  2.1647294  1.1638896\n",
      " 1.9117804  2.09367    2.1954722  1.9800234  2.3239655  1.176876\n",
      " 2.2355866  1.8823643  2.199009   1.260418   1.3958917  2.1276653\n",
      " 1.9862301  1.4864515  1.9746138  2.0201495  1.2662466  1.5440633\n",
      " 1.4991803  2.1414049  2.045739   1.445115   2.26027    2.2569916\n",
      " 1.4220222  2.2892435  2.2723725  1.566414   2.2865396  1.5535897\n",
      " 1.3762542  2.1790638  1.5449431  1.3172846  0.96979773 2.2162957\n",
      " 1.2405622  2.0137656  2.205655   2.203914   2.154648   1.3170909\n",
      " 1.2101294  1.9358753  1.6561389  1.7457552  2.2682033  2.250552\n",
      " 1.9576263  1.3051322  1.9000467  2.1573737  1.4746782  2.1811304\n",
      " 1.5231401  1.2238246  1.446622   1.9747915  2.1939478  1.9973109\n",
      " 1.9609406  2.1648958  2.0072646  1.9593414  1.3114666  2.258857\n",
      " 1.6119694  2.0793035  2.1576164  1.9457309  1.9066951  1.2578456\n",
      " 2.1564121  2.1067603  1.5908625  1.5210526  2.0977721  2.2841547\n",
      " 2.1423953  1.6643162  1.2082181  1.2630858  1.4032941  1.7828525\n",
      " 1.5038221  1.4327137  2.2681065  2.1446502  0.9526892  2.341984\n",
      " 1.2926223  2.1401737  1.3407183  1.1392318  1.0062971  2.0454383\n",
      " 2.2092445  1.3636594  2.3013203  1.3568835  1.4322718  1.077369\n",
      " 1.3758748  1.5614601  1.1309078  1.280284   2.1273127  1.9445647\n",
      " 2.060478   2.10872    1.3460326  1.9099172  2.170757   2.0008187\n",
      " 2.0951626  2.0060236  2.2463923  1.2568109  2.102587   1.0018299\n",
      " 1.3508469  2.2171216  1.8297378  1.5150412  1.3569325  1.5630174\n",
      " 1.2065667  1.9747146  2.0826414  2.189868   1.3064598  2.0670497\n",
      " 2.0600274  0.9947177  2.1784313  1.303765   2.2839642  1.8440824\n",
      " 1.8667074  1.1537508  2.3098624  1.1987427  2.1305509  1.5208604\n",
      " 1.7767658  2.0223668  1.6610886  1.3382006  2.3336499  2.3094544\n",
      " 2.0073617  2.0996447  2.0331554  2.0652196  2.2885242  2.2153277\n",
      " 2.178377   2.2493227  1.3491294  1.9265795  1.288242   1.8776697\n",
      " 0.9703971  1.9697602  2.043569   1.955517   1.2912554  2.2014387\n",
      " 2.2283435  2.2079163  2.0058987  2.1154766  2.1326392  2.2546675\n",
      " 2.304637   1.1881951  2.2960513  1.1969216  1.3180388  1.3928556\n",
      " 0.9636301  2.2381284  1.9070575  1.2565409  2.1681972  1.8552353\n",
      " 2.0267494  1.995492   1.2689519  1.297117   1.3469697  1.4328003\n",
      " 1.477878   1.3330446  1.98066    2.233352   1.8893185  1.2215465\n",
      " 2.2559893  2.015129   2.1907334  2.1174293  1.9158472  1.5681739\n",
      " 1.4526824  2.143937   1.9746897  2.2956653  2.194258   1.3962001\n",
      " 1.5359533  1.9686222  2.1215696  1.889022   1.976692   1.1249084\n",
      " 1.3154105  1.5154641  1.9144535  2.3635879  2.043618   2.167944\n",
      " 1.4311261  1.3361161  2.2488785  1.5175467  2.137131   2.3254504\n",
      " 2.1755657  1.8597541  2.0644248  1.2796623  1.9218506  2.2782762\n",
      " 1.3393425  2.1597946  1.4448038  1.9189854  1.8084012  1.1079468\n",
      " 1.1405168  1.4678913  0.9802593  1.3770539  1.3018794  1.3395637\n",
      " 2.203203   1.8889403  2.0147579  1.7390751  2.2608736  2.1726863\n",
      " 2.31474    1.2554054  1.5481634  2.2915359  1.8040843  1.6434705\n",
      " 2.2452707  1.2473906  1.8455031  1.2352935  2.203724   1.397515\n",
      " 1.6249838  2.1983979  2.2591624  1.2277225  1.3071933  1.9919133\n",
      " 1.7304904  2.309274   2.1909351  1.8109674  1.2991383  2.0060728\n",
      " 2.1783698  2.20218    1.9431946  1.3525034  1.3132896  1.5703063\n",
      " 1.169611   1.3597147  2.0194776  2.3292603  2.0451837  2.2493265\n",
      " 1.2329185  2.3142066  1.7323059  2.1571684  2.2624     1.9307592\n",
      " 2.2155085  1.0256138  1.2910007  2.2792754  2.1381629  1.4817055\n",
      " 2.0905352  1.5911374  1.9458174  1.2839198  2.1029682  1.923944\n",
      " 2.1933308  2.052682   1.643967   2.0530872  1.8909231  1.3967365\n",
      " 1.2209824  1.5355134  2.2499592  2.0197012  1.3416429  2.0314322\n",
      " 1.3206452  2.2538214  1.1778611  2.0804515  1.7477157  1.9662416\n",
      " 2.2654338  2.1208339  2.2795744  2.133027   2.0667882  2.0052924\n",
      " 2.2380002  2.0821917  1.2148455  1.358694   2.1270928  2.0412507\n",
      " 1.9880636  2.1901114  1.6315482  2.2777987  1.3848611  2.2415068\n",
      " 1.3286568  2.24486    2.1688004  1.8678131  2.2803392  2.2890208\n",
      " 2.0435162  1.3744245  0.99536234 2.208088   1.2452819  1.2242993\n",
      " 2.0069838  1.9228438  2.3240676  1.2316668  1.8917106  1.920385\n",
      " 1.3370686  2.2099812  2.1911788  1.4094127  1.3232731  2.350024\n",
      " 1.3195183  2.0323346  2.307489   1.8516331  1.9669663  1.4050776\n",
      " 1.8457897  1.3211633  2.0248115  2.057861   2.3053677  2.0925512\n",
      " 1.436582   2.2343597  2.2342556  1.9385967  2.308066   2.2258737\n",
      " 1.1471369  1.5873846  1.8052132  1.391899   1.2465436  1.1929784\n",
      " 1.0470225  2.3219438  1.6519865  2.1794004  2.2410986  1.3811649\n",
      " 2.0545938  2.1981812  2.2859247  2.0502536  2.0934148  2.0729907\n",
      " 2.0489888  2.204347   1.2665854  2.0138252  1.3625021  2.2930484\n",
      " 0.99417233 1.4637587  2.2330031  1.356873   0.97345936 1.9778931\n",
      " 1.2205855  1.1446965  2.2226927  1.2588012  1.8633568  1.2846779\n",
      " 2.3006463  1.9650549  2.1706777  1.8947592  1.1646075  2.079672\n",
      " 2.3105855  2.0381947  1.4565756  1.313931   1.320536   2.1974757\n",
      " 2.2092805  1.1640923  1.3928148  1.9849577  1.8067911  2.3124335\n",
      " 1.0647002  1.4569523  1.3728843  1.833333   1.4676337  2.2939315\n",
      " 2.0691643  1.5728304  1.6161923  2.2030792  1.3340651  1.94659\n",
      " 2.2529423  1.5651994  1.5066874  1.8919573  1.4411454  1.4421614\n",
      " 1.6862946  2.0217824  2.2945442  2.2714646  2.2306697  1.3892603\n",
      " 2.120925   1.1064967  2.276019   1.1340429  1.3784415  2.1119313\n",
      " 1.33544    1.1795217  2.2447019  1.2876254  1.3749652  1.9211227\n",
      " 1.3886853  1.4223689  2.162164   1.2468597  2.0486286  1.440743\n",
      " 1.3957394  2.2642562  1.9804184  2.3011415  2.1529288  1.484243\n",
      " 2.195595   1.17575    1.9668673  2.1652246  1.8959018  1.8957793\n",
      " 2.0966468  2.346069   2.1622336  2.2128587  1.4428638  2.294658\n",
      " 1.8075223  1.4607465  1.8484122  2.1515749  2.3529758  2.2161112\n",
      " 1.4792463  1.3576926  1.8703017 ]\n",
      "signal\n",
      "[2.1635795  2.039023   2.3574586  1.2707267  1.2700399  1.0045807\n",
      " 1.9255509  2.097491   1.0634177  0.9397698  1.8194655  1.3731631\n",
      " 1.0789573  1.323242   2.1492782  1.9021003  1.1708076  1.0661808\n",
      " 1.0604652  1.2145072  1.9480429  1.0949016  1.5443305  1.9748089\n",
      " 1.5173634  1.4391257  0.92397714 1.5947967  1.2242106  1.7488328\n",
      " 1.0175192  1.3888477  2.3290539  1.8416488  2.2360413  1.4021462\n",
      " 1.6107999  1.9430001  1.3237791  1.5675436  1.3213338  1.8431333\n",
      " 1.2975496  1.5338824  2.234294   2.1398354  2.2915764  2.158823\n",
      " 1.977442   1.538704   2.0563908  1.7658703  2.334489   1.8381315\n",
      " 1.8413762  1.3454629  1.1849842  1.0248623  0.9160278  1.2182612\n",
      " 2.2489605  1.5745789  1.6072141  1.2862369  1.167646   1.5606849\n",
      " 2.0150254  1.7188082  2.0248096  1.8696828  1.9544458  1.6505044\n",
      " 1.9467254  1.0107162  1.22794    1.5801054  1.242052   2.2992954\n",
      " 1.6868879  1.1348703  1.3822093  1.074797   1.2122277  1.5114033\n",
      " 1.7066138  1.5350246  2.1303864  1.9006134  1.2326511  1.1560647\n",
      " 1.3956122  2.0028207  1.2493544  2.2098017  2.3175883  1.9341722\n",
      " 1.3159204  1.8647639  1.2749267  1.9098961  1.1965258  1.3190281\n",
      " 1.2620037  2.025108   1.2144227  1.7023604  1.0677357  1.7611125\n",
      " 1.3476732  0.9796425  0.9471668  1.0395284  2.286774   1.7400784\n",
      " 2.2633588  1.515158   1.5156028  1.0400677  1.2397541  0.99935913\n",
      " 1.2878006  1.1184244  2.212585   1.9141467  1.2731135  1.8554529\n",
      " 1.8751867  1.0509009  1.9126089  1.8319731  2.1747959  1.7211629\n",
      " 1.6824938  2.0848029  1.9606915  1.0384643  1.1095293  1.929624\n",
      " 1.6312251  1.0489671  1.2601984  1.7156826  1.5156944  1.5239506\n",
      " 1.039914   2.0965872  1.8851486  1.5445893  1.4748688  1.1321728\n",
      " 1.2365246  1.132173   1.5092132  2.0609999  2.3560302  2.2998805\n",
      " 1.7336419  1.7886989  1.0191345  1.2540805  1.6213366  1.4393566\n",
      " 0.938517   2.2024968  1.1654602  1.2696351  1.6689997  1.6480285\n",
      " 2.2122755  1.5667111  1.0600718  1.2404363  1.9111323  1.0446482\n",
      " 2.0007389  1.077997   1.1145202  1.4395777  1.2935225  1.8917933\n",
      " 0.95060825 1.3006918  1.4350548  2.1563628  2.1647089  1.0679444\n",
      " 2.3207552  2.3787482  1.3908972  1.3972436  1.5372523  1.4719373\n",
      " 1.5147445  1.3989025  1.6014911  1.0912075  2.3216295  1.2838808\n",
      " 1.0379689  1.0603745  1.931283   1.0719275  0.987936   1.9162464\n",
      " 1.005852   1.0228243  2.2248442  2.1962125  1.3886559  1.6855764\n",
      " 1.6311321  1.4965161  1.4590968  2.2302744  1.8383541  1.814646\n",
      " 2.325303   1.2789936  1.0477449  1.2083858  1.954613   1.8714445\n",
      " 1.1967291  1.6703004  0.9838449  1.0727035  1.3485314  1.6516621\n",
      " 1.466558   1.4509555  2.3417695  1.5260365  1.5405499  1.3659823\n",
      " 2.2574444  1.7394012  2.1338558  1.0373547  0.93159854 1.2460902\n",
      " 1.5694593  1.1008769  1.3743275  1.1908715  1.4674253  1.8807713\n",
      " 1.8995214  2.3061006  1.9167798  1.218966   1.1235998  1.3552145\n",
      " 1.5493546  1.671474   1.6724243  1.3333297  1.2545758  1.0668161\n",
      " 1.4258585  1.8414412  2.1676888  1.0654767  1.6564305  2.2934017\n",
      " 1.0477202  1.8931582  2.0195105  1.8477461  1.9528166  1.6220351\n",
      " 1.7078508  1.555632   2.2084577  1.9113853  2.2779384  1.2739148\n",
      " 2.359877   2.1574829  1.7506115  1.3737693  1.3658357  1.15991\n",
      " 1.1576381  1.8796543  1.0869201  1.3078009  1.0543612  2.1738374\n",
      " 2.2699893  1.6392275  1.0242771  1.3541908  1.582319   1.4008524\n",
      " 1.2493441  1.7809292  1.1449996  2.3019183  1.1940526  1.5810521\n",
      " 1.3409629  1.3828299  1.3954341  1.4255565  1.017853   1.0493326\n",
      " 1.7582887  2.1263425  0.9364681  1.4042537  1.721804   1.2604136\n",
      " 1.5381112  1.4007727  1.7696986  1.6328136  2.0537062  1.6773063\n",
      " 2.2470844  1.65401    2.041827   1.4572458  1.5084784  1.5526825\n",
      " 1.8757     1.8657408  1.3116002  2.2338836  1.0588231  1.9427348\n",
      " 2.1223145  1.0164515  1.4406738  1.0571532  1.4952099  1.0252482\n",
      " 2.261994   1.5767863  1.0886755  1.9961957  1.3689277  2.204667\n",
      " 1.0446951  1.394037   1.5139449  2.1414285  1.4351636  1.0421929\n",
      " 2.295763   1.8677236  1.0455618  1.054656   1.3048902  1.0619408\n",
      " 1.1657557  1.4229231  2.1614604  1.2146633  0.93544614 1.3114713\n",
      " 1.4179728  1.973681   1.0789589  1.2130947  2.2383885  1.5099937\n",
      " 1.32387    1.1618226  1.4328465  1.5227548  1.990501   1.7258167\n",
      " 1.3154938  1.4112093  1.7319833  1.0666617  1.2330625  1.317459\n",
      " 1.0053434  1.5394762  2.3190453  2.2954009  1.8780465  1.545276\n",
      " 1.0141606  1.056011   1.2918981  1.5583847  1.0056131  2.08559\n",
      " 1.0870364  1.5947394  1.0482825  1.1534617  2.0378957  1.4784592\n",
      " 1.9057035  1.9954103  1.8858104  2.2357438  1.8572541  1.0066237\n",
      " 1.6680858  1.1632622  2.2751632  2.1949182  1.4523112  1.0663245\n",
      " 1.6793451  2.2107375  1.0375855  1.1925337  1.1432974  1.7788684\n",
      " 1.7521819  1.611949   1.3027309  1.9460632  1.2275778  2.278999\n",
      " 1.7363249  1.590035   1.8741496  2.254704  ]\n",
      "data\n",
      "[1.417513   1.1806492  1.4408425  1.3182847  1.9403775  1.2747328\n",
      " 1.9165567  2.142136   2.1265395  1.333764   1.2771407  2.1297886\n",
      " 2.0903254  1.821963   1.0544893  1.2190928  1.3413426  1.4450873\n",
      " 1.2708566  1.2884963  2.2500722  1.4519717  1.938555   0.99956894\n",
      " 1.1901512  1.9374804  1.8465558  1.3029209  1.2501692  1.3886644\n",
      " 1.7931342  1.1868918  1.2108309  1.827328   1.2341504  2.0412698\n",
      " 1.3398778  1.2909745  1.3148104  2.2025664  1.5044605  1.8755766\n",
      " 1.161356   2.1180305  1.3509148  1.9711654  2.163358   1.356898\n",
      " 2.0468497  1.1299498  1.3998783  1.4190464  1.4833751  1.3188158\n",
      " 1.278462   1.3968726  2.0477643  1.4449216  1.4070361  1.408228\n",
      " 1.6892099  1.2025206  1.4623187  1.9293222  1.3154441  1.2475344\n",
      " 1.0948712  2.120316   1.3627199  2.1169593  2.1236844  2.0161936\n",
      " 1.1522676  1.3503633  1.4363055  2.0659442  1.9634504  1.5270444\n",
      " 1.4391128  1.4650861  1.442104   1.1792458  1.2451798  2.0257418\n",
      " 2.1378655  1.377367   2.2011619  2.0279918  1.4089113  2.1406837\n",
      " 2.0843418  1.3552926  0.956348   1.4531829  1.6598147  2.1605213\n",
      " 1.3437358  1.1248729  1.3629394  1.4495189  1.3888669  1.5262697\n",
      " 1.2799577  1.316487   2.0822861  1.3298035  1.3195583  1.6682919\n",
      " 1.3917359  1.4911975  1.3840107  1.5050792  2.1262414  1.2198141\n",
      " 2.2565143  1.4609399  1.2228922  1.3755147  1.2758807  1.6153412\n",
      " 1.1038996  1.452634   2.1902838  2.2389677  2.055614   2.0324817\n",
      " 1.2997903  1.9312683  1.392197   1.2497773  2.0841444  1.1459782\n",
      " 2.0487766  1.5275987  1.0218804  1.7041599  1.4632818  1.3320119\n",
      " 1.3977861  1.2581732  1.3176435  1.1941202  1.318773   2.2846806\n",
      " 1.274467   1.4713359  1.3041093  1.4778823  1.3433675  1.3381712\n",
      " 1.4777957  1.3149889  1.3509479  2.1761527  1.2542287  1.996914\n",
      " 1.5443194  1.358342   1.401585   1.406381   2.0925827  1.4535756\n",
      " 1.3297039  1.3185748  1.4112232  1.4286438  1.2309875  1.9706678\n",
      " 1.4269515  1.1793458  1.1797662  1.215069   1.1382345  1.4016801\n",
      " 1.3549002  1.3406646  2.1720815  1.0182961  1.1982187  1.831615\n",
      " 2.013275   1.479251   1.5610187  1.7779922  1.3952055  1.9580706\n",
      " 1.6649935  1.6705743  1.3484054  2.1862504  1.4707897  1.4154886\n",
      " 1.2378793  1.5508723  1.5656543  1.4641716  1.3543409  1.5019529\n",
      " 1.1956788  1.4073992  1.509919   2.0303552  1.3735535  1.4530644\n",
      " 1.8471648  1.3071915  1.508613   1.2067444  1.349225   1.3499823\n",
      " 1.3276001  1.4664819  1.4207169  1.8578855  2.1119013  1.4018593\n",
      " 1.2487658  1.4667706  1.3036375  1.2165763  1.4120007  2.1964798\n",
      " 1.3383383  1.3923137  2.2639246  1.5288966  2.0125933  1.3084621\n",
      " 1.2873111  1.2633941  1.4756855  1.4080244  1.3872001  1.259147\n",
      " 1.2811248  1.9677685  1.4948527  1.1855617  2.2382016  1.2409196\n",
      " 1.389421   2.077625   1.3877734  1.3552644  1.1306965  1.3661944\n",
      " 1.795719   1.9653219  1.3681548  1.9962989  1.3415915  1.4863533\n",
      " 1.4267491  2.0594907  2.1114562  1.2971958  1.1951646  1.3849368\n",
      " 1.5052933  1.3321091  1.3837081  2.084087   1.480901   2.1685138\n",
      " 2.0684648  1.3644947  1.2660488  1.2685435  1.2879584  2.1530092\n",
      " 1.4250985  1.2429453  1.4232183  1.4551384  1.4234548  1.3194875\n",
      " 1.3324735  1.2641243  1.3684787  1.2376508  1.0527678  1.1845261\n",
      " 1.7512728  1.8469224  1.6763071  1.3595762  1.4285449  2.0651891\n",
      " 1.9321454  2.1346092  1.963385   1.1740097  1.4806939  2.2685547\n",
      " 1.323141   1.5062078  2.0533135  1.0839194  1.817895   1.165045\n",
      " 1.5326293  2.2698798  1.351294   1.3928266  1.2709174  1.3784517\n",
      " 1.488234   1.2595813  1.2310889  2.0172203  2.009432   1.3824226\n",
      " 1.4439214  1.4352013  1.4509529  1.8414193  1.232183   1.3266413\n",
      " 1.3746004  1.2203453  1.4732413  1.2506032  1.2441539  1.2837939\n",
      " 2.16542    1.0319622  1.5162867  2.0400355  1.3903952  1.1623063\n",
      " 2.2286453  1.4240214  1.1919074  2.0565786  2.2528574  1.3340641\n",
      " 2.1711633  2.0539494  1.1097918  1.4353476  1.2956095  1.2332675\n",
      " 1.2339925  2.0533926  0.9864038  1.4372921  1.3293154  1.3032362\n",
      " 1.4336811  1.3964006  1.1955503  1.2789179  0.9692275  1.4398772\n",
      " 1.9771246  1.4861768  1.1275955  1.2863578  1.3389928  1.4042265\n",
      " 1.2471218  0.9953304  1.4059211  1.1884086  2.0719752  1.2661091\n",
      " 1.2195991  1.2200677  1.2742218  2.1308646  1.9705855  1.2477509\n",
      " 1.0989989  2.141938   1.2665749  1.3711648  1.1430548  1.7395095\n",
      " 2.0963864  1.3975472  1.2840241  2.1192214  1.402024   1.280819\n",
      " 1.4332092  1.3494705  1.4143782  1.2428288  2.0058818  2.0416284\n",
      " 1.2158926  1.2264254  1.3646836  1.2842503  1.4010231  1.4320709\n",
      " 1.2537223  1.3632898  1.1921039  1.1845608  1.4553918  2.0815377\n",
      " 1.4313928  1.522973   1.8326356  1.9882722  1.4323744  2.0706446\n",
      " 1.3923342  1.3649899  1.9887191  1.1875502  1.4071342  1.3630948\n",
      " 1.3735929  1.2213758  1.4771217  1.3505943  1.2241348  1.3014213\n",
      " 2.1014042  2.1916063  1.4340978  2.0002918  1.5899818  1.2447613\n",
      " 1.980498   1.5128038  1.6039972  1.2715096  1.9437947  2.1636126\n",
      " 1.4225645  1.4090265  1.9643353  2.061481   1.5080509  1.3564827\n",
      " 1.228499   1.4522501  1.9665892  1.9453467  1.3278797  1.2841439\n",
      " 1.3388107  1.6350597  1.0414355  1.3560953  1.4344846  1.2276117\n",
      " 1.3440689  1.3433954  1.3943001  1.9610667  2.1458392  1.2413527\n",
      " 1.5482018  1.3114852  1.2373793  1.4145766  1.2259048  1.2663494\n",
      " 2.0224397  1.3952667  1.3322469  1.2209508  1.3830446  1.4721221\n",
      " 1.356353   1.4721338  1.3809152  1.416935   1.474766   1.5634736\n",
      " 1.42666    2.2595158  2.171862   1.8661301  1.4775765  1.993288\n",
      " 1.5703018  1.2529647  1.4037167  2.0620632  1.4864537  1.3108433\n",
      " 1.4365897  1.9670459  1.3667227  1.2885638  1.3620539  1.4436718\n",
      " 1.4052639  1.3285384  1.2370347  1.4000738  1.2370974  1.5363883\n",
      " 1.3697337  1.1118731  1.4386153  1.1904899  1.323278   1.988347\n",
      " 1.3556081  1.3251866  2.0976238  1.6835572  1.2573584  1.9490973\n",
      " 1.4833434  1.405465   2.201256   1.4898269  1.3577507  1.4796902\n",
      " 1.4862723  1.265147   1.3567721  2.1856642  1.4011495  0.99006474\n",
      " 1.2397145  1.4165474  1.0320731  2.0872931  1.438661   1.3795586\n",
      " 1.244004   1.4055098  2.0136747  1.3624142  2.0517807  1.367135\n",
      " 2.1068819  2.0273654  1.4547814  1.9337549  1.2225711  1.4415543\n",
      " 1.3402469  1.9629054  1.2926389  1.9225146  1.4576242  1.4197973\n",
      " 1.268644   1.376924   1.313709   1.4157176  2.0710995  1.4255058\n",
      " 1.5122681  1.5598408  1.4536992  1.2136819  1.8251683  2.12893\n",
      " 2.0544987  2.1792724  1.4825785  1.296034   1.4336523  1.2310123\n",
      " 1.0853974  1.3383265  2.0429623  1.2268671  1.4035875  1.3891944\n",
      " 1.1211852  1.2217033  2.0912864  1.3837056  1.3164674  1.0241882\n",
      " 2.0482652  2.0417478  1.4216778  1.2591369  1.3731817  1.3617882\n",
      " 1.286946   1.96182    2.1258705  1.9604653  1.4360067  1.4633348\n",
      " 1.4043397  1.961761   1.4591461  1.1995846  1.4565585  1.5206895\n",
      " 1.4216765  1.2840161  2.0508606  1.4178905  1.4171809  1.923361\n",
      " 1.2699059  1.337759   2.0436618  1.2098632  1.1582686  1.146365\n",
      " 1.2992678  1.3097161  1.3944367  1.2484516  1.4674853  1.369778\n",
      " 1.3582683  1.2547885  2.0300984  1.3544748  2.1152005  1.2940484\n",
      " 1.2373543  1.4022712  1.4559103  1.3155302  1.2761538  1.805685\n",
      " 1.5286365  1.360278   1.1746745  1.4257095  1.4419608  2.1835828\n",
      " 1.4695151  1.4484237  1.3478177  1.4283185  1.2603084  1.3684897\n",
      " 1.4794331  1.3343153  1.1726562  1.1858265  1.2830834  1.2441671\n",
      " 1.9601938  1.9995337  1.4651886  1.3357383  1.3886148  1.4364537\n",
      " 1.207315   1.3682718  1.2698925  1.414637   1.3729197  1.0386417\n",
      " 1.4402306  0.9906502  1.2556894  1.127172   1.3967865  1.38354\n",
      " 1.4829926  1.2529131  2.059173   2.193086   1.4180895  1.9216887\n",
      " 2.0556731  1.35108    1.579296   2.0401692  1.3009803  1.2335997\n",
      " 1.3265841  1.6165214  1.3518637  1.4138943  1.3510215  2.1044905\n",
      " 1.3279954  1.370052   1.0900091  1.4842488  1.98157    1.3692174\n",
      " 1.1973475  2.064465   1.4267468  1.5075973  2.0955677  1.4200531\n",
      " 1.524649   1.2651129  1.1200498  1.9919758  1.5477835  1.2682463\n",
      " 1.0505943  1.3591051  1.2301528  1.9777353  1.8071457  1.2533473\n",
      " 1.298311   2.292137   1.3001279  1.2727329  2.2534883  2.228205\n",
      " 1.4350454  1.2285     1.303533   1.3990225  1.4537134  1.306682\n",
      " 1.3889506  1.551171   1.2852229  1.837893   1.0194788  1.4108913\n",
      " 1.3702055  1.345099   1.3159875  2.1688929  1.2002393  1.3752172\n",
      " 1.371951   2.081654   1.2663223  1.4753175  1.3989848  2.1042798\n",
      " 1.9076163  1.5596995  1.3005233  1.3299074  1.3821634  1.391674\n",
      " 1.2841506  2.099668   1.4623605  1.4600296  2.1568975  1.0012109\n",
      " 1.300441   1.4299948  1.475847   1.4261959  1.3550283  1.3900704\n",
      " 2.1137714  1.6044407  1.2694249  1.1634356  1.3797106  1.9684697\n",
      " 1.4183217  1.550892   1.321022   1.9662498  1.4997745  1.3195429\n",
      " 1.396739   1.3811886  1.8016136  1.3496603  1.2642771  1.2552634\n",
      " 1.6542397  2.1875324  1.2990445  1.0041072  1.3028662  1.269879\n",
      " 2.0408084  1.423028   1.3740195  1.41839    1.318063   2.1282477\n",
      " 1.1909057  1.2301648  1.239828   1.3728275  2.068039   1.4756896\n",
      " 1.5487112  1.8776895  1.4946356  1.532288   1.3533031  1.4007232\n",
      " 1.3342329  0.9951941  1.4547613  1.3281531  1.367481   1.4272349\n",
      " 2.092503   1.2593182  1.5231533  2.2504916  1.3921425  1.4764088\n",
      " 1.9737842  1.9295918  1.4407376  1.2071826  1.8569047  1.5109147\n",
      " 2.2354054  1.2971426  1.3526709  1.8258291  1.4452559  2.107473\n",
      " 2.0771163  1.3788526  1.3815666  1.5149691  1.4602826  1.4229615\n",
      " 1.1876163  1.1926175  2.1649785  1.8993979  1.2445366  1.2559348\n",
      " 1.9817556  1.945878   1.9567323  1.256654   1.3144546  1.3506991\n",
      " 1.3913764  2.0828717  1.4582939  1.1994016  1.4632356  1.3854792\n",
      " 1.2901397  1.3096083  1.6816278  1.2440064  1.5372189  2.023413\n",
      " 1.8577926  1.3841727  1.6792998  2.0587847  1.7898412  1.1917863\n",
      " 1.4468291  1.2110791  1.5870777  1.4719608  1.3144077  1.3604699\n",
      " 1.4200875  2.0474293  1.2669863  1.4635249  1.4997036  1.1897066\n",
      " 2.2221925  2.0818956  1.4255506 ]\n",
      "signal\n",
      "[1.4865588  1.8995863  1.3066038  1.8761231  2.068596   2.1613984\n",
      " 0.9554187  1.5494059  1.613947   1.0500271  1.1987202  1.1063673\n",
      " 1.9981174  0.9873376  1.3508679  1.2432628  1.2229755  1.2569236\n",
      " 1.2932082  1.4863478  1.394301   1.9870845  1.9604124  1.5224545\n",
      " 2.2130902  1.0011389  1.3478245  2.119049   1.2229204  1.0282848\n",
      " 1.0208046  1.0550866  1.3044544  1.1198575  2.0630722  1.3276699\n",
      " 2.2781136  1.2386734  1.5804629  1.5492867  1.1362014  2.223343\n",
      " 1.1915638  1.8987346  2.1678278  1.575571   2.3226266  1.5388219\n",
      " 2.1259203  2.1744044  2.057986   2.2342484  1.5439771  1.6827505\n",
      " 2.0924528  1.9484513  2.2041533  1.1223717  2.1858394  1.3277634\n",
      " 1.253821   1.2897563  1.1036019  1.3201069  1.0573273  1.6058571\n",
      " 1.415901   1.9005984  1.6413136  1.1185135  1.4332566  1.9349537\n",
      " 0.99370074 1.1959509  1.4172153  1.291791   1.0210645  1.8839246\n",
      " 1.3677725  1.2392162  1.1713985  1.596123   1.3158776  1.4242283\n",
      " 1.8065418  2.2843482  1.1007288  2.0569406  1.2682494  1.4126592\n",
      " 1.1312894  1.4949263  1.9160576  1.7039164  1.586222   1.0514019\n",
      " 2.267135   1.2663794  1.706829   1.5553001  1.6554034  1.8585923\n",
      " 1.0042214  2.0080612  1.2916137  2.2657778  2.1651511  1.3366019\n",
      " 2.2063942  1.2779152  1.0834641  2.1434777  0.9570792  1.4148664\n",
      " 1.376808   1.8370011  2.0859406  1.2395701  2.0271463  1.3401299\n",
      " 1.8293132  1.1242752  1.5215513  1.5236349  1.5022256  1.2378753\n",
      " 2.1225142  1.3468604  2.0462773  1.2327951  1.6949296  2.03528\n",
      " 1.4666381  1.439438   1.6097846  1.4364655  1.4188899  1.0242419\n",
      " 1.3455206  1.4273295  1.2375277  2.1046765  1.8484284  2.2656858\n",
      " 1.1991532  1.0975574  1.3443103  2.1572514  1.3302472  2.3157942\n",
      " 1.4802809  1.5436064  2.2727141  1.2815332  1.8741462  1.4389378\n",
      " 1.6058832  1.5499336  1.5262442  1.1956059  1.4190626  1.2736478\n",
      " 1.3291924  1.9693255  1.439531   2.225351   1.9639276  1.681099\n",
      " 2.1153436  1.0456909  1.0472486  2.0028381  2.1810913  1.0504668\n",
      " 1.0297773  1.1928495  2.0994048  1.2730168  2.0335305  1.1958976\n",
      " 1.8882946  2.1811435  2.286335   1.5853566  1.9813341  1.401464\n",
      " 2.2431772  1.0324478  2.0806944  1.5080897  1.5152266  1.5552533\n",
      " 1.8857452  2.1919255  1.889567   0.9444737  1.9526262  2.092943\n",
      " 0.93565893 1.3942679  2.1835828  1.6053454  1.4008169  1.294267\n",
      " 1.6084812  1.2189846  2.311652   2.0172675  1.5947524  0.9855404\n",
      " 0.9582073  1.2428532  1.5375979  1.2268189  2.2782629  1.3893114\n",
      " 1.9734938  1.9501548  1.4627495  1.4809862  1.3357928  2.1118715\n",
      " 1.4888172  2.1231918  1.5880543  1.4361933  2.1751502  1.292497\n",
      " 2.2190757  0.9385488  1.6508662  1.1757907  1.6043816  1.2646827\n",
      " 1.5399272  1.4500779  1.2776145  1.600943   2.0167315  1.4147737\n",
      " 1.1379263  2.139347   1.2244403  2.191961   2.1992536  1.3873873\n",
      " 0.9955902  1.3880471  1.9202266  1.0753944  1.3075671  1.4380635\n",
      " 1.2388473  1.9087193  1.347784   2.104766   1.8074491  1.6213663\n",
      " 1.9123896  2.0704896  1.4615144  1.4849911  2.2147965  2.254264\n",
      " 2.0223024  1.1337769  0.9619204  2.237645   1.4597797  2.3168921\n",
      " 2.250778   2.1221318  2.0446253  1.6523834  1.3418165  2.0398462\n",
      " 1.2779266  1.4347638  2.0149946  1.9411192  2.1095023  1.5680227\n",
      " 1.0951914  1.3376234  1.3257741  1.3359369  1.3086843  2.0827596\n",
      " 1.9634364  1.448224   1.337479   1.3961747  1.4790916  1.2113447\n",
      " 1.4193218  1.6427087  1.1081915  1.9536982  2.2667496  1.6285007\n",
      " 1.0267725  1.4776217  1.2727656  2.2183208  1.9686605  1.0512303\n",
      " 1.6828593  2.2050233  1.5849462  1.3590761  1.4785832  2.1762118\n",
      " 1.9196211  1.3838737  1.1971523  1.3804059  1.5010915  0.9541078\n",
      " 1.3013979  1.3847442  2.0009592  1.3573079  2.0837982  1.2206047\n",
      " 2.0473866  1.4701357  1.5574112  1.8853354  1.055764   1.8555318\n",
      " 1.9952321  1.4956864  1.9711785  0.99847233 2.2377172  1.6340858\n",
      " 2.014858   1.1769348  1.8877466  1.4795053  1.2885507  1.2908082\n",
      " 2.2390738  2.290869   1.5692185  0.9544443  1.293882   1.596253\n",
      " 1.393986   1.4017988  1.5719074  1.3972733  2.2567067  1.9962137\n",
      " 1.4572146  1.3364356  1.3893589  1.2946532  1.1415849  1.052577\n",
      " 2.1427705  1.8917857  1.0586524  1.0281091  1.106286   2.1653683\n",
      " 2.2058237  1.614357   1.4497432  1.6776121  1.2203321  1.118672\n",
      " 1.5179507  1.8369852  1.0166415  2.165505   1.623898   1.207171\n",
      " 1.9155074  1.9775951  2.0418854  1.5435215  1.4191694  2.0571303\n",
      " 1.7258409  2.1280499  1.2626144  1.96321    2.0141194  1.1674842\n",
      " 1.0132045  1.2883415  1.564054   1.305241   2.1787968  1.5492934\n",
      " 2.2298815  2.2326703  1.8962507  1.3000512  1.0415115  1.9488088\n",
      " 1.207737   1.3502833  1.0185819  1.4178169  1.5548892  2.090117\n",
      " 1.8052065  0.9515482  1.4454457  1.4536381  1.462369   1.4504839\n",
      " 2.1307673  0.9818394  2.2607696  1.6238639  1.487427   2.201932\n",
      " 1.8674843  1.1639217  0.94097245 2.2132325 ]\n",
      "data\n",
      "[-2.5851786e-01  2.2111428e+00 -1.2074144e+00  8.7744677e-01\n",
      " -1.5240586e+00  7.4600130e-01 -2.5853627e+00 -2.4806197e+00\n",
      " -1.3741996e+00  2.1658080e+00  2.8966522e+00  1.5848064e+00\n",
      " -1.9198154e+00  1.7680870e+00  2.0591674e+00  3.8227925e-01\n",
      " -6.6670567e-01  2.2505727e-03  1.7828177e+00  1.6621857e+00\n",
      " -2.1073172e+00  4.5838127e-01 -8.2472825e-01  4.5366719e-02\n",
      "  1.2516419e+00 -6.7560971e-01 -1.4716179e+00  1.2690330e+00\n",
      " -2.7950609e+00  2.0208080e+00  2.6158893e+00  1.8561325e+00\n",
      " -4.9095684e-01 -8.9499128e-01 -2.1129353e+00  1.5680479e+00\n",
      " -1.9747375e+00 -1.6296014e+00  1.1129112e+00  1.9581048e+00\n",
      "  1.3068945e+00  2.5182540e+00  1.4017158e+00  2.6196618e+00\n",
      "  2.8610148e+00  1.1190354e-01  1.0629857e-01 -2.3271961e+00\n",
      " -2.1443951e+00 -2.4928896e+00 -1.5625772e+00 -3.0437717e+00\n",
      " -2.5138676e+00 -2.8638599e+00  1.6184214e+00  1.7447059e-01\n",
      "  1.5807250e+00 -2.8579016e+00 -2.5637336e+00  6.6806602e-01\n",
      " -2.4123225e+00  1.2010908e+00  3.0551144e-01  2.4445558e+00\n",
      " -3.9937782e-01  1.4098569e+00  3.0778697e+00  2.6949482e+00\n",
      "  3.2754529e-01  2.4832025e+00  2.2774112e+00 -2.0477045e+00\n",
      " -3.4283369e-03 -8.1607491e-02  1.3655269e+00 -9.1448826e-01\n",
      "  1.7999861e+00  2.1357448e+00  9.9341804e-01 -2.9275325e-01\n",
      "  1.5539088e+00  7.4024057e-01 -1.7215499e+00  2.5201530e+00\n",
      " -3.1122305e+00  1.2731510e+00  1.9189438e+00  2.0153336e-01\n",
      " -1.4063575e+00  3.0241296e+00 -2.7407842e+00  2.8454416e+00\n",
      "  1.6970329e+00 -2.6568990e+00 -2.4506905e+00 -1.6089081e+00\n",
      " -1.4710586e+00  2.5523963e+00 -1.9517635e-01  2.5575464e+00\n",
      " -2.9636276e+00  2.1419761e+00  1.9082814e-01  1.7860903e-01\n",
      " -2.6783955e+00 -2.2187040e+00  1.7244164e+00 -6.7957890e-01\n",
      " -2.7757754e+00  2.1060770e+00 -1.5477672e+00  9.6507204e-01\n",
      " -1.3021580e+00  2.2291052e+00  8.0637258e-01 -9.6963346e-01\n",
      "  2.1311209e+00 -2.7501440e+00  2.2681670e+00 -4.6799469e-01\n",
      " -2.7316449e+00  2.4861207e+00  1.2762073e-01  2.9124796e+00\n",
      " -1.3615386e+00 -2.1223881e+00  1.1525236e+00  2.4272261e+00\n",
      " -2.9994946e+00  1.8990101e+00  2.5363138e+00 -1.9221796e+00\n",
      " -1.9141515e+00 -1.8948182e+00  2.7407680e+00  2.6765187e+00\n",
      "  1.0744591e+00  8.7341827e-01 -2.6578255e+00  2.6096559e+00\n",
      "  1.7308792e+00 -1.2302359e+00  2.0412917e+00 -3.1207011e+00\n",
      " -2.7551055e+00  2.8937764e+00  7.8729653e-01  5.8273894e-01\n",
      "  2.8324487e+00  1.4919151e+00  2.0185411e-01  7.0680463e-01\n",
      "  9.0759027e-01  1.0731777e+00  1.5905867e+00  7.8795123e-01\n",
      "  5.2509621e-02  2.1932831e+00 -1.8096584e+00 -1.3400073e+00\n",
      "  6.8574482e-01  2.0563164e+00  1.1710367e+00  1.6657485e+00\n",
      " -2.3398538e+00  1.4672916e+00 -9.5643267e-02  1.4663509e+00\n",
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      "  4.7785670e-01 -1.8649434e+00 -4.9107870e-01  7.7676815e-01\n",
      "  5.2313495e-01  1.9844853e+00 -2.4172258e+00 -9.0364957e-01\n",
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      "  2.8903131e+00  3.0415030e+00  1.5162884e+00 -1.0657486e+00\n",
      "  2.6881449e+00 -8.4524584e-01 -5.6379527e-01 -1.6008548e+00\n",
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      " -1.3068933e+00  1.2585889e+00  5.0386983e-01  2.1318882e+00\n",
      "  1.8911742e+00 -2.5057254e+00 -1.4677626e+00  1.7699424e+00\n",
      " -2.6198304e+00  2.9682381e+00  9.3805695e-01  8.3509743e-01\n",
      " -1.7579130e+00  1.8585384e+00  3.0878229e+00 -2.1580188e+00\n",
      "  2.6743217e+00 -1.7061700e-01  1.5503924e+00  1.8448269e+00\n",
      " -1.0558724e+00  1.2095108e-01 -7.3227286e-01 -1.6078614e+00\n",
      "  5.1593298e-01 -1.4554567e+00  2.9760880e+00  1.7899382e-01\n",
      "  2.4652762e+00  7.7091944e-01 -3.4985402e-01  1.2162486e+00\n",
      " -1.3059384e+00  3.0138855e+00 -2.7152786e+00 -1.4494464e+00\n",
      "  3.7792125e-01  6.3938487e-01  2.9786315e+00  4.0346436e-02\n",
      " -1.0896331e+00  2.2823253e+00  4.3987849e-01 -1.9088038e+00\n",
      " -1.0208280e+00 -2.0229933e+00 -1.9211692e+00  1.2221038e+00\n",
      " -1.0014849e+00 -1.2751836e+00  5.2931536e-02  2.0823264e+00\n",
      "  4.9869171e-01 -1.4967844e+00 -1.6850189e+00  3.0162158e+00\n",
      "  3.7376156e-01  2.2049417e+00 -1.3935173e+00  1.3290497e+00\n",
      " -4.0142888e-01 -1.2212293e+00 -3.5479069e-02  9.1170675e-01\n",
      " -2.0723064e+00 -2.9302354e+00  9.0162325e-01 -2.1735880e+00\n",
      " -9.9479991e-01  1.9270324e+00 -2.9569969e+00 -1.0365406e+00\n",
      "  1.6751199e+00 -3.0523570e+00  5.8867866e-01 -6.5049791e-01\n",
      "  1.0067611e+00 -5.6520991e-02  9.0089343e-02  3.5930201e-01\n",
      "  1.8699046e+00  5.0033301e-01  1.1601286e+00  1.6149734e+00\n",
      "  1.3359214e+00 -1.6097759e+00  3.2837993e-01  1.3594217e+00\n",
      " -6.5473634e-01 -2.0415427e-01  1.4016832e+00 -2.4330287e+00\n",
      " -1.6000451e+00  9.1310310e-01  1.9516045e+00 -2.7016261e+00\n",
      " -2.7723174e+00 -2.9362121e-01 -1.7795376e+00 -1.5264183e+00\n",
      " -5.2377915e-01  2.2066963e+00 -2.3515561e-01  1.3626647e-01\n",
      " -2.3336358e+00 -2.2779720e+00 -2.7001963e+00  2.0394039e+00\n",
      " -1.9796876e+00  1.4668114e-01 -1.4606475e+00 -9.0641838e-01\n",
      " -1.1919262e+00  6.1930086e-02  2.6234527e+00 -2.6285160e+00\n",
      "  6.6898681e-02  1.0315540e+00  2.0460329e+00  2.2768555e+00\n",
      "  3.2947701e-01  1.3155160e+00 -1.0336568e+00  1.7143980e+00\n",
      "  2.2058828e+00  5.5151463e-01 -7.1294028e-01  1.8568488e+00\n",
      " -4.9502003e-01  2.9315226e+00 -1.5075606e+00 -2.2892447e+00\n",
      " -1.9247804e-02  1.0529177e+00  3.1249471e+00  6.6249096e-01\n",
      " -3.3476767e-01  4.7816789e-01  2.0223854e+00  1.0169692e+00\n",
      " -3.1219769e+00  1.2099442e+00 -4.5019570e-01  2.9046798e-01\n",
      "  2.4875827e+00  3.2574257e-01  1.9690943e+00  2.0868521e+00\n",
      "  3.8874963e-01  7.8802317e-01  1.8020824e+00  5.8979011e-01\n",
      "  1.8760073e+00  1.2476683e+00 -1.3954876e-01 -2.1803992e+00\n",
      "  3.5139093e-01 -2.5422409e+00 -1.2373279e+00 -4.5212975e-01\n",
      " -2.4817920e+00 -1.4416968e+00  1.5625278e+00  1.9273080e+00\n",
      "  1.9169846e+00  9.4435579e-01 -4.1565666e-01  1.2552514e+00\n",
      " -6.6366398e-01  2.6681654e+00 -1.9144286e+00  1.7411592e+00\n",
      "  1.3009748e+00  2.1365900e+00 -2.0122411e+00 -3.0192556e+00\n",
      " -5.5774331e-01 -1.6564749e+00 -1.9702138e+00 -3.0203488e+00\n",
      " -1.8978709e+00  7.4301368e-01  6.5761656e-01 -1.3444110e+00\n",
      "  2.4173298e+00 -4.9038869e-01 -2.3309250e+00  6.7055911e-01\n",
      " -3.0356002e-01  1.2298925e+00  2.0938547e+00  3.6781382e-02\n",
      " -2.5649078e+00  1.8527534e+00  2.9604838e+00  8.6203337e-01\n",
      " -2.4628828e+00  2.3652875e+00  5.5261981e-01  2.5268114e+00\n",
      "  1.2277645e+00  3.7876114e-01 -2.2279723e+00  2.9265845e-01\n",
      " -1.7729553e+00  1.7259160e+00  2.9341509e+00  2.9087837e+00\n",
      "  3.0078971e+00 -1.5714329e+00  5.2692229e-01  1.8212782e+00\n",
      " -2.7568343e+00  2.6714394e+00 -2.1300786e+00  3.3425617e-01\n",
      " -2.6740572e+00 -2.4990685e+00  1.6254500e+00  7.0341825e-01\n",
      " -1.9116458e+00  1.2711991e-01  7.6008409e-02  2.5869694e+00\n",
      " -1.2510418e+00 -3.0952137e+00  3.1362073e+00 -3.0933387e+00\n",
      " -2.4532363e+00  2.4624043e+00  1.0093379e+00 -2.7721035e+00\n",
      " -7.6184499e-01 -1.1641275e+00 -2.4818623e-01 -1.7061785e+00\n",
      " -2.2947438e+00  9.2356378e-01 -1.8049482e+00  1.3937809e+00\n",
      "  1.1197376e+00 -9.0915579e-01  2.3422389e+00  1.2806573e+00\n",
      " -1.8701543e+00  2.1388402e+00  1.0745850e+00  1.5820373e+00\n",
      " -2.1665828e+00  1.7274475e+00 -2.6373038e+00  8.8087720e-01\n",
      "  2.5233591e+00  5.2649933e-01 -1.9749917e+00  2.1595685e+00\n",
      " -1.6569971e+00 -1.2868805e+00  1.0467525e+00  4.4498363e-01\n",
      "  3.0153687e+00  2.9538240e+00  8.2384151e-01  1.1235025e+00\n",
      "  2.9369786e+00 -1.3327907e+00  1.3930578e+00  3.5587108e-01\n",
      " -2.9004879e+00  1.0282452e+00 -1.4426513e+00 -2.3831241e+00\n",
      "  1.0427499e+00 -2.5722411e+00 -1.9564043e-01 -2.9161644e+00\n",
      "  2.2031546e+00  7.7883929e-01  1.3530716e+00  2.7709258e+00\n",
      "  3.1083779e+00 -1.9799198e+00  4.0718552e-01  2.5676668e+00\n",
      "  2.2606921e+00 -1.6126088e+00 -2.2428272e+00 -3.0496373e+00\n",
      " -6.3794798e-01  1.7352015e+00 -2.9289360e+00  2.5346353e+00\n",
      " -1.4825898e+00  1.4608663e+00  1.8262007e+00 -2.4981360e+00\n",
      "  3.0750380e+00 -2.6710913e+00  1.8468114e+00  1.4848284e+00\n",
      " -2.1473625e+00  2.2805316e+00  4.6046424e-01  2.2044036e+00\n",
      "  1.3767895e+00  2.4680417e+00 -2.4056447e+00  1.9798113e+00\n",
      " -1.4969972e-01  2.5579979e+00  2.6710398e+00  2.1390903e+00\n",
      " -1.2317281e+00 -1.2308941e+00  2.2644100e+00 -3.0954525e+00\n",
      "  7.2555107e-01  1.8491362e+00 -1.3886648e+00  1.5470107e+00\n",
      " -1.0427517e+00  2.1179292e+00  1.5630679e-01 -1.3895222e+00\n",
      "  1.3925561e+00  3.2189557e-01  4.7053957e-01 -1.7240828e+00\n",
      "  7.3572582e-01  1.9523283e+00 -1.0112351e+00  1.4628036e+00\n",
      "  2.6466715e+00 -1.7821678e+00  1.3136598e+00  2.7704737e-01\n",
      " -2.4831381e+00  5.4601610e-01 -1.5360940e+00  5.8970970e-01\n",
      " -2.9981654e+00 -9.1905910e-01 -1.4733032e+00 -2.3780901e+00\n",
      "  4.2455441e-01  4.7063464e-01  2.5458925e+00  2.3447099e+00\n",
      " -4.9911809e-01 -1.0344642e+00  2.4716907e+00 -2.5318496e+00\n",
      "  2.5386846e+00  1.4435740e+00  2.8727241e+00 -1.5385058e+00\n",
      " -2.4946792e+00 -1.0583302e+00 -2.6017897e+00  2.4028382e+00\n",
      " -1.0229608e+00 -9.0077662e-01 -1.0646647e+00  2.1159883e+00\n",
      " -1.1720710e+00 -2.2515600e+00  1.8061687e+00 -1.3774228e+00\n",
      "  3.1392187e-01  1.5002317e+00  3.0520577e-02  2.9198804e+00\n",
      " -1.5898002e+00  1.0730276e+00  1.7507119e+00  2.6461103e+00\n",
      " -1.0480376e+00 -3.0979395e+00  2.0480196e+00  5.9297824e-01\n",
      "  2.2705014e+00  1.4175936e+00 -3.0865211e+00  1.6022931e+00\n",
      " -1.1905475e+00 -1.5181811e+00 -2.5414624e+00 -9.5414019e-01\n",
      " -2.8754220e+00  2.4015136e+00  2.6940386e+00 -5.0671017e-01\n",
      " -2.9858165e+00  1.4864548e+00  3.9650050e-01  1.4602478e+00\n",
      "  4.7970000e-01 -1.8335313e+00  1.2836857e-02 -2.5295157e+00\n",
      "  1.8048094e-01  2.8040102e+00 -1.2391899e+00 -2.4491212e+00\n",
      "  2.3609121e+00 -2.6546202e+00 -2.4788065e+00  6.2372643e-01\n",
      " -2.4904985e+00  2.2460310e+00  1.7897121e+00  2.5877595e+00\n",
      " -2.5733140e-01 -3.6723042e-01 -1.2832489e+00 -1.9123677e+00\n",
      " -2.9862223e+00  1.7462244e+00  2.6480372e+00 -2.9846292e+00\n",
      " -8.9806664e-01  2.3152549e+00  2.2234516e+00 -1.2589750e+00\n",
      "  2.2981677e+00  1.9258014e+00  2.9272370e+00  1.2025952e+00\n",
      " -4.1999871e-01 -3.0617220e+00 -1.0852052e+00  2.8277485e+00\n",
      "  5.4350758e-01 -2.2792776e+00 -1.5830878e+00  1.0149521e+00\n",
      "  2.5509186e+00  2.3338002e-01 -8.1701320e-01 -6.9040465e-03\n",
      " -2.4961457e+00 -9.3148863e-01 -2.4543328e+00  2.5744195e+00\n",
      "  1.5835598e-01  1.0353591e+00 -9.3058783e-01  4.2858636e-01\n",
      " -6.5634847e-01  7.7817392e-01 -2.6233900e-01 -2.3124719e+00\n",
      " -1.7103161e+00  2.8223588e+00 -2.9872682e+00  5.5971813e-01\n",
      "  2.6444941e+00 -2.2075959e-01  2.8541963e+00  2.1216450e+00\n",
      "  1.1053462e+00 -2.7979505e+00  1.2339872e+00 -2.1411102e+00\n",
      " -2.2317617e+00  1.8954337e+00  2.2632563e+00 -1.1324915e+00\n",
      " -2.7859306e+00 -2.1673372e+00  1.2005247e+00 -9.8794794e-01\n",
      "  2.3621910e+00 -1.8558792e+00 -1.4051821e+00  9.8973793e-01\n",
      " -2.8894536e+00 -1.2888551e+00  1.1817545e+00  2.2210584e+00\n",
      "  1.5444461e+00 -1.0620031e+00 -2.0155166e-01  1.6401831e+00\n",
      " -1.1439631e+00 -1.5749453e+00 -2.5863445e+00 -8.3918893e-01\n",
      "  1.3809620e+00 -9.3033433e-01 -2.8728352e+00  5.7190686e-01\n",
      "  2.2116675e+00 -1.9939512e+00 -1.5531917e+00 -5.3320640e-01\n",
      "  1.9100506e+00 -2.1213868e+00 -1.7198118e+00  9.9773073e-01\n",
      " -1.5896496e+00 -5.0635493e-01  8.1602943e-01 -2.4717042e+00\n",
      "  1.6102819e+00  5.3788495e-01  2.4439812e+00  4.9330920e-01\n",
      " -2.2552407e+00 -2.0333211e+00  2.6854012e+00  4.4141375e-02\n",
      "  1.4706692e+00  1.2064569e+00  1.7607697e+00  1.9799141e+00\n",
      "  1.4019222e+00  1.1780493e+00  6.8230575e-01  3.0757024e+00\n",
      "  3.0993204e+00  1.9256766e+00  1.8886992e-01  1.9965758e+00\n",
      " -7.6836365e-01 -2.1213915e+00  2.8921180e+00  1.7356105e+00\n",
      "  9.0609789e-01 -2.9794099e+00  1.5804312e+00 -9.5934713e-01\n",
      "  3.1243863e+00  2.5487988e+00 -4.2572483e-01  2.1055870e+00\n",
      "  2.6560438e+00 -1.1745905e+00 -2.5808876e+00 -1.3327364e+00\n",
      " -3.0761971e+00 -1.7843331e+00 -1.4898727e+00 -9.1806281e-01\n",
      "  2.1678743e+00 -6.4581954e-01  5.5230278e-01  3.0829480e+00\n",
      "  6.4146966e-01  2.3692720e+00  9.0896517e-01  1.3009888e+00\n",
      " -2.6576259e+00 -1.2447883e+00  1.0557442e+00  1.9495140e+00\n",
      "  2.9307699e+00 -2.1107361e+00 -5.0492819e-02  1.0311222e+00\n",
      " -3.0459154e+00  2.0185497e+00  1.5325824e+00  2.5261192e+00\n",
      "  9.1080356e-01 -1.2210777e+00 -1.9832810e+00 -6.6894239e-01\n",
      "  8.5563600e-01  5.4241621e-01  1.5349243e+00  3.0017653e+00\n",
      " -1.3807981e+00 -1.8331689e+00 -2.5871580e+00  7.0239860e-01\n",
      "  1.5774171e+00  5.6175476e-01  2.3306408e+00  2.0252111e+00\n",
      "  2.1286359e+00  2.2336743e+00 -3.0821383e+00  7.9358131e-01\n",
      "  1.7223930e+00 -3.6970460e-01  1.6276860e+00  2.3206058e+00\n",
      "  1.2501932e+00  2.5986693e+00  2.4911542e+00  1.1367550e+00\n",
      " -6.2438118e-01  6.6181719e-01 -4.2801464e-01 -1.2694019e+00\n",
      "  1.5446270e+00  2.5784035e+00 -2.1020305e+00  2.5242844e+00\n",
      " -2.4319720e+00 -2.6307981e+00 -2.4229975e+00 -2.8231149e+00\n",
      "  2.6747465e+00  1.9429349e+00  1.8121467e+00 -1.4366478e+00\n",
      " -1.0015485e+00  2.0501485e+00  1.9358686e+00 -2.7192242e+00\n",
      " -2.4170747e+00  8.3718050e-01 -1.8983530e+00  1.5164413e+00\n",
      "  1.8115923e+00 -2.4201152e+00 -1.7778257e+00  1.5014793e+00\n",
      "  1.0324422e+00  6.0443770e-02  2.7922897e+00 -9.1714048e-01\n",
      " -2.8746995e-01  1.8521115e+00 -3.0680287e+00  9.2966998e-01\n",
      " -1.0731127e+00 -2.6887350e+00  2.6132884e+00 -1.8971066e-01\n",
      " -1.8437632e+00 -2.5794713e+00 -3.9182197e-02 -1.3693101e+00\n",
      "  1.9771281e+00 -2.0464346e+00  1.1315408e+00  6.7193538e-02\n",
      "  2.7115755e+00  7.5498509e-01  2.6875049e-01 -3.1330958e-01\n",
      "  2.6233952e+00  2.4315894e+00 -4.7813538e-01 -2.9779606e+00\n",
      "  3.5750088e-01  1.7187967e+00 -2.4378445e+00  1.2795588e+00\n",
      "  2.8277855e+00 -7.4379742e-01 -1.6318221e-01 -2.2235606e+00\n",
      " -9.5606577e-01 -2.0659235e+00  2.1359491e+00  7.4337560e-01\n",
      " -5.3652060e-01 -1.0597078e+00  2.1814878e+00  1.8553174e+00\n",
      " -2.3406670e+00  7.2444929e-03  3.2826328e-01 -5.4943830e-01\n",
      " -2.1079371e+00  2.0341098e+00  4.8485571e-01]\n",
      "signal\n",
      "[-2.78283978e+00  2.60533333e+00  1.50709426e+00 -2.31752682e+00\n",
      " -2.41048455e+00 -2.24480748e+00  2.97532248e+00 -3.56586389e-02\n",
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      "  1.85583889e+00 -1.76015890e+00  3.72473329e-01  7.74290025e-01]\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/nfs/dust/cms/user/lbenato/anaconda3/envs/run3/lib/python3.7/site-packages/root_numpy/_hist.py:76: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  ROOT.AsCObject(hist), array, weights, return_indices)\n",
      "/nfs/dust/cms/user/lbenato/anaconda3/envs/run3/lib/python3.7/site-packages/root_numpy/_hist.py:76: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  ROOT.AsCObject(hist), array, weights, return_indices)\n",
      "/nfs/dust/cms/user/lbenato/anaconda3/envs/run3/lib/python3.7/site-packages/root_numpy/_hist.py:76: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  ROOT.AsCObject(hist), array, weights, return_indices)\n",
      "/nfs/dust/cms/user/lbenato/anaconda3/envs/run3/lib/python3.7/site-packages/root_numpy/_hist.py:76: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  ROOT.AsCObject(hist), array, weights, return_indices)\n",
      "/nfs/dust/cms/user/lbenato/anaconda3/envs/run3/lib/python3.7/site-packages/root_numpy/_hist.py:76: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  ROOT.AsCObject(hist), array, weights, return_indices)\n",
      "/nfs/dust/cms/user/lbenato/anaconda3/envs/run3/lib/python3.7/site-packages/root_numpy/_hist.py:76: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  ROOT.AsCObject(hist), array, weights, return_indices)\n",
      "/nfs/dust/cms/user/lbenato/anaconda3/envs/run3/lib/python3.7/site-packages/root_numpy/_hist.py:76: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  ROOT.AsCObject(hist), array, weights, return_indices)\n",
      "/nfs/dust/cms/user/lbenato/anaconda3/envs/run3/lib/python3.7/site-packages/root_numpy/_hist.py:76: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  ROOT.AsCObject(hist), array, weights, return_indices)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "data\n",
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      "  8.10279787e-01 -2.51498103e+00  2.15333915e+00  2.49035144e+00\n",
      "  3.04583907e+00 -7.01614141e-01  2.42276073e+00 -3.07703471e+00\n",
      "  6.25780225e-01 -2.82126021e+00 -1.29350090e+00  3.98620248e-01\n",
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      "  1.60203457e+00  9.17504847e-01  4.19444680e-01 -2.83689290e-01\n",
      "  1.30828607e+00 -2.72771955e+00  1.44583166e+00 -3.06684089e+00\n",
      "  2.81696367e+00 -5.00590920e-01 -4.27925259e-01  2.87839770e+00\n",
      "  4.47825521e-01 -3.00752616e+00 -1.11142087e+00  1.37546110e+00\n",
      "  3.93318534e-01  1.75651431e+00 -1.22995114e+00 -2.60118961e+00\n",
      "  2.35385633e+00 -2.07191157e+00 -1.56144738e+00 -9.27891552e-01\n",
      " -2.58985972e+00 -1.65048397e+00  2.36282945e+00 -2.34743071e+00\n",
      " -5.12154818e-01  2.42380977e+00 -9.07550335e-01 -2.67370224e+00\n",
      "  1.01688743e+00 -1.68967617e+00 -5.61677180e-02  2.50111699e+00\n",
      "  1.05620049e-01 -1.33568287e+00 -2.28546977e+00  1.17325997e+00\n",
      "  1.68706989e+00 -2.71774602e+00 -2.28696521e-02  3.01870346e+00\n",
      " -2.35010934e+00 -2.77166462e+00 -1.57554615e+00 -1.40814376e+00\n",
      "  2.69183850e+00  2.61588407e+00  1.94043744e+00 -1.90010679e+00\n",
      " -2.58325070e-01 -1.14822495e+00 -2.69387245e+00  7.49738097e-01\n",
      "  1.06890202e+00  2.46353769e+00 -2.16249108e+00  1.50173354e+00\n",
      "  2.08142042e+00  2.80011058e+00 -2.04940581e+00  7.79822469e-01\n",
      "  2.13079929e+00 -5.13265841e-02 -2.78811693e+00 -2.76931071e+00\n",
      " -2.78849435e+00 -1.86628997e+00  1.34437275e+00  1.04683280e-01\n",
      "  1.80107427e+00  1.21286035e+00  2.76315141e+00 -8.73136401e-01\n",
      "  1.65770423e+00 -2.21562028e-01  1.61357343e+00 -5.72961986e-01\n",
      " -2.42129731e+00 -9.28385794e-01  1.38793260e-01  2.74728298e+00\n",
      " -6.56709313e-01 -1.44812409e-02  1.88458478e+00 -1.82114208e+00\n",
      "  7.43812382e-01 -9.35616076e-01 -2.06234002e+00 -1.55617148e-01\n",
      "  2.45975590e+00 -1.29679906e+00 -3.02926159e+00  2.29040790e+00\n",
      " -2.25390458e+00  2.64863777e+00 -1.60362136e+00  2.51967344e-03\n",
      "  2.17707109e+00  2.33130980e+00  4.28800732e-01  8.99417698e-01\n",
      " -9.73852098e-01  2.35973573e+00 -2.76071930e+00 -2.62853193e+00\n",
      " -3.06370139e+00  2.30590677e+00  1.82740891e+00  2.92421842e+00\n",
      " -3.11268806e+00  1.87837809e-01  2.75457168e+00 -7.36703277e-01\n",
      " -2.93630457e+00  3.77580151e-02  2.48906279e+00  1.06630039e+00\n",
      " -2.39274025e+00 -3.07431650e+00  2.42954636e+00  1.72264671e+00\n",
      "  3.11267138e+00 -1.00216794e+00  2.77908158e+00  3.36225688e-01\n",
      " -2.11266589e+00  9.92817402e-01 -8.64934400e-02  2.39581203e+00\n",
      "  9.30224836e-01 -1.23770452e+00  6.64949834e-01  2.10592651e+00\n",
      " -9.93641078e-01 -3.10240364e+00  1.74449217e+00 -6.76515818e-01\n",
      " -6.46920562e-01 -2.05165458e+00  2.38482976e+00  6.67875528e-01\n",
      "  3.10471272e+00 -8.35284770e-01 -8.46252918e-01 -1.69629991e+00\n",
      "  2.30661273e-01  7.34147206e-02  1.49748659e+00  1.42562509e+00\n",
      "  1.42827559e+00 -3.62252048e-03  2.14208961e+00  3.42157960e-01\n",
      "  1.62151504e+00  9.81067061e-01  2.76478291e+00  1.56004155e+00\n",
      "  2.33640480e+00 -3.73078287e-01 -2.45599747e+00  2.49916506e+00\n",
      "  3.12261343e+00  1.74574113e+00 -1.30845571e+00  1.27760991e-01\n",
      " -3.00499105e+00  1.62628603e+00  1.75501573e+00 -1.63123310e+00\n",
      "  2.51051092e+00  6.72202170e-01 -9.66294944e-01  2.10547781e+00\n",
      " -2.97830248e+00  2.31605098e-01  1.19813347e+00 -3.08269048e+00\n",
      " -1.01822174e+00 -2.86577702e-01  3.02921224e+00  2.77343130e+00\n",
      " -6.20119929e-01  1.23686278e+00  2.72247106e-01 -3.86232249e-02\n",
      "  2.78352475e+00  8.20454776e-01 -1.14274168e+00  1.78531900e-01\n",
      "  2.40388322e+00 -2.33841348e+00 -1.41405177e+00  2.38353443e+00\n",
      "  8.02899957e-01 -1.07609069e+00  4.13462371e-01 -1.89104545e+00\n",
      " -1.05946355e-01 -3.06208968e+00 -6.76764071e-01  2.27492332e+00\n",
      " -1.22162187e+00 -1.81968963e+00  2.43698835e+00  2.35228848e+00\n",
      " -1.23506570e+00 -4.55862619e-02 -9.42759037e-01 -2.03164268e+00\n",
      "  1.80369961e+00 -5.20948470e-01 -1.32298665e-02 -6.97555959e-01\n",
      " -2.92706275e+00  2.34435940e+00  1.86911881e+00 -1.19498670e+00\n",
      " -3.89741873e-03  2.93142128e+00 -3.06909275e+00 -2.17406631e+00\n",
      " -1.72310054e+00  3.03992057e+00 -9.91132975e-01  2.16332480e-01\n",
      " -2.34209037e+00  6.47546172e-01  1.63477588e+00  1.19064975e+00\n",
      "  1.54290903e+00  3.22019875e-01 -1.68374240e+00 -2.13006473e+00\n",
      "  3.08110619e+00  3.06321764e+00  4.06122804e-01  2.10586953e+00\n",
      "  8.35146546e-01 -1.22481704e+00  3.04862332e+00  1.15865739e-02\n",
      "  2.83455849e-01  7.74507463e-01  1.83872330e+00 -2.46513653e+00\n",
      " -5.92115283e-01 -2.03466964e+00  1.81194973e+00  4.23740387e-01\n",
      "  2.09625340e+00 -1.24453080e+00 -2.33898187e+00 -2.70358849e+00\n",
      "  3.83548349e-01 -2.99450541e+00 -2.45067358e+00  1.08987415e+00\n",
      "  2.98867965e+00 -2.91199565e+00  1.02821624e+00 -3.37012231e-01\n",
      " -2.41990304e+00  7.10327268e-01  2.10039353e+00  2.89374542e+00\n",
      " -2.33465970e-01  1.53663445e+00  2.01046991e+00  2.48589015e+00\n",
      " -8.80242765e-01 -2.18019271e+00 -2.76667047e+00  2.77195239e+00\n",
      "  7.60156214e-01 -5.14632612e-02  8.22451413e-02 -2.13856530e+00\n",
      " -1.00847197e+00 -1.11501706e+00  7.29309440e-01  2.33576870e+00\n",
      " -1.41529942e+00 -2.36634660e+00 -1.90604687e-01  2.63106561e+00\n",
      "  2.12890911e+00 -9.70216393e-01  5.77515364e-01 -2.70968962e+00\n",
      "  8.31530929e-01  3.09035134e+00  1.21376646e+00  1.51705801e+00\n",
      " -1.88298976e+00 -2.90556502e+00 -1.86325252e+00  3.06651473e+00\n",
      "  2.57572269e+00  1.10902846e+00 -3.06833595e-01 -2.45881367e+00\n",
      "  4.07085955e-01  4.27694201e-01  2.86349940e+00 -1.67233312e+00\n",
      "  1.04885328e+00  2.56896186e+00 -1.04695491e-01 -3.03692889e+00\n",
      "  2.24732947e+00 -2.79388809e+00 -1.22756302e+00  5.59084594e-01\n",
      "  3.03171325e+00 -2.79029298e+00 -2.08538318e+00  1.06202102e+00\n",
      "  1.11285532e+00 -1.68148649e+00  3.21118623e-01 -1.56842470e+00\n",
      " -1.64868963e+00 -2.67858672e+00  1.91238093e+00  2.83085203e+00\n",
      "  2.91475147e-01  3.94743860e-01 -1.14955270e+00  3.74490589e-01\n",
      "  1.47536719e+00  7.34074891e-01 -2.17954040e+00 -1.76374280e+00\n",
      "  1.78203166e+00 -3.06836939e+00 -8.77215326e-01 -2.31141690e-02\n",
      " -1.36551738e+00  3.13763118e+00  1.33463931e+00 -5.58392644e-01\n",
      " -1.34104192e+00  4.61371869e-01  1.32658391e-03 -7.83230007e-01\n",
      " -6.17426857e-02 -6.50649428e-01 -4.76081908e-01  2.53099585e+00\n",
      " -1.06347239e+00 -2.30574226e+00 -2.22515845e+00 -1.77059257e+00\n",
      "  1.49357486e+00 -1.56948483e+00  2.86697578e+00  3.32710333e-02\n",
      "  1.48205829e+00 -2.40585232e+00 -2.10477901e+00  1.00812399e+00\n",
      " -2.41334581e+00  9.78681207e-01  1.34193674e-01  2.28582367e-01\n",
      " -2.33183455e+00 -2.12306666e+00 -1.62781179e+00  2.92708302e+00\n",
      "  2.02789307e+00  1.15653634e+00 -2.80469966e+00  1.46296930e+00\n",
      " -1.16573703e+00  2.41333246e+00  3.11941671e+00 -2.44562402e-01\n",
      " -2.31894016e+00  2.50541019e+00  5.97663403e-01  2.44658709e+00\n",
      "  1.99929988e+00 -2.48027849e+00 -1.42695859e-01 -2.25152135e+00\n",
      "  2.48512483e+00  3.03650546e+00  3.49257946e-01 -2.05464530e+00\n",
      " -2.85498881e+00  2.42596698e+00 -1.92598665e+00  2.24069977e+00\n",
      " -4.15934384e-01  5.38360596e-01  1.62109411e+00 -1.86694133e+00\n",
      " -1.32858050e+00 -1.58664167e+00 -1.84961069e+00 -2.54435992e+00\n",
      " -3.65094930e-01  1.76193702e+00  3.01291490e+00  2.55673981e+00\n",
      " -5.05383313e-01  3.03039253e-01  1.02242255e+00  3.06072879e+00\n",
      "  2.08042502e+00  2.75515413e+00  3.13142633e+00  8.73044908e-01\n",
      "  1.08997750e+00  3.05432010e+00 -3.01359606e+00  2.75348210e+00\n",
      " -4.27678645e-01 -2.77124357e+00 -3.11390734e+00 -1.20430462e-01\n",
      " -2.92526150e+00  4.46233153e-01  1.26777995e+00 -6.82567954e-02\n",
      " -2.91405082e+00  2.64213371e+00  2.16129565e+00 -2.82728505e+00\n",
      " -2.46098995e+00  1.02622032e+00 -3.74084920e-01 -1.20962524e+00\n",
      " -2.36504960e+00 -6.51433766e-01 -3.02273893e+00  1.03873503e+00\n",
      "  3.13260007e+00  2.86378908e+00 -2.96975040e+00 -3.80099803e-01\n",
      " -3.54476362e-01  7.57356107e-01  2.47579527e+00 -9.61231172e-01\n",
      "  2.92703438e+00  2.11600041e+00 -2.42429280e+00  2.71583676e+00\n",
      "  2.66693330e+00  2.44765830e+00 -2.02032018e+00 -1.75661600e+00\n",
      " -2.35942197e+00  2.55761147e+00 -3.08316064e+00 -2.08549523e+00\n",
      " -5.95292687e-01 -1.14640367e+00  3.09675765e+00 -1.33766234e+00\n",
      "  7.34717727e-01 -2.93667340e+00  2.12372589e+00 -2.88155818e+00\n",
      "  4.75486845e-01  2.11346602e+00  8.31949413e-01  2.99842405e+00\n",
      "  2.15836763e+00 -1.09865928e+00  6.68898746e-02  7.41249621e-01\n",
      " -1.06717479e+00 -2.50661445e+00  1.76475132e+00 -2.69696498e+00\n",
      " -2.31076407e+00 -2.95129037e+00 -1.92069724e-01  2.57021070e+00\n",
      " -1.85320652e+00  2.10599780e+00  3.02498221e+00  6.24833643e-01\n",
      " -8.98146853e-02 -2.69184875e+00 -7.10407138e-01 -1.21669722e+00\n",
      "  3.03456140e+00  5.63045084e-01  2.39912987e+00 -3.00994158e+00\n",
      " -1.14505792e+00  2.46821046e-01 -1.51496172e-01 -2.95800328e+00\n",
      " -9.37605858e-01  2.42671418e+00 -1.48616934e+00  2.26951790e+00\n",
      "  1.14326167e+00 -1.74866587e-01  3.28695834e-01 -2.40406656e+00\n",
      " -5.12333393e-01  2.24320069e-01  1.81059003e-01 -3.01565671e+00\n",
      " -6.53969586e-01  2.61074924e+00  2.75823712e+00 -9.14396703e-01\n",
      "  2.81163144e+00 -6.03062749e-01 -1.04223430e+00 -9.23456550e-01\n",
      "  2.89889431e+00 -8.16332459e-01 -2.59407687e+00 -2.74279380e+00\n",
      "  7.17093587e-01 -2.37483239e+00  1.78805304e+00 -1.57626474e+00\n",
      "  2.90343285e-01 -2.60894036e+00 -2.95423031e+00  3.14662188e-01\n",
      " -5.61021328e-01  7.53533840e-01 -2.10715318e+00 -6.60179138e-01\n",
      "  8.12004149e-01 -1.00948107e+00 -1.89841497e+00  2.80332685e-01\n",
      "  3.12708902e+00 -1.39363623e+00  2.86148834e+00  5.68784952e-01\n",
      "  1.41669965e+00  1.49451494e+00  2.54591274e+00  1.70385087e+00\n",
      " -1.40155888e+00 -2.99927759e+00 -2.51700807e+00  7.43334234e-01\n",
      " -2.97730184e+00 -2.88204908e+00 -2.21730828e+00  1.87893379e+00\n",
      "  2.58538222e+00 -6.74359739e-01 -3.09864712e+00  3.10598922e+00\n",
      "  2.92216003e-01  2.21055365e+00  2.50533080e+00 -3.03949666e+00\n",
      " -3.78684580e-01 -2.10401225e+00  9.28371906e-01 -2.95876837e+00\n",
      " -2.55932856e+00 -2.95699191e+00 -1.21871531e+00 -5.19959152e-01\n",
      "  3.13280416e+00  1.41304994e+00 -2.44865513e+00  1.79245186e+00\n",
      "  3.13365865e+00  2.04759216e+00 -2.36365652e+00  3.23827863e-01\n",
      "  1.64303288e-01  2.81924486e+00 -1.75014287e-01  1.86758316e+00\n",
      "  8.22027862e-01  2.06914878e+00 -1.80534351e+00 -1.93922842e+00\n",
      " -2.31088781e+00 -1.46615541e+00 -1.87407959e+00 -1.24454498e+00\n",
      " -1.04544127e+00  1.04199506e-01  2.31942558e+00 -6.24837697e-01\n",
      "  1.35747266e+00 -1.98231447e+00  1.09938800e+00 -7.72823989e-01\n",
      "  1.09999168e+00 -7.14718223e-01  2.15143889e-01  2.24238348e+00\n",
      "  7.86452591e-01 -2.73918653e+00  8.10420096e-01 -3.06749725e+00\n",
      "  2.68065000e+00  2.48902655e+00 -2.09843516e+00 -2.06259179e+00\n",
      " -5.01420557e-01 -2.79827738e+00 -1.82445514e+00]\n",
      "signal\n",
      "[ 1.9865465  -1.1849172  -2.9800224  -0.1373781   0.06613734  1.7451022\n",
      "  0.8943183   1.834777    2.7061024  -0.69367754 -2.1394532  -2.38035\n",
      " -2.9408188  -1.2543553   2.9936016  -2.6274676  -1.1876822  -2.6456084\n",
      "  2.278595   -1.7484149   0.46018425  1.9323982   0.04056941 -1.8633221\n",
      " -1.2003684  -0.20164104  1.860433   -1.8272504  -0.1372824  -0.7126529\n",
      " -1.8892835   2.8489156   0.8649183  -2.8370192   0.16274093 -1.3541317\n",
      "  0.4293693  -2.4099913   1.295709    2.6892238   1.080818   -1.8149174\n",
      "  0.589598    2.63111    -0.92916775 -2.961815    1.1433021  -0.26287544\n",
      "  2.5502005  -1.5639246  -2.1375525  -0.07157277  2.7062063  -3.0766814\n",
      "  2.8250375  -1.3379015  -0.44188818  2.5096688  -0.26308084 -0.88008785\n",
      " -2.3276887   2.7029526  -2.2903779   2.2376823   1.886287    0.3871327\n",
      "  0.20418355 -1.3533447   0.1369834   2.1767533  -0.85663426 -0.0465103\n",
      "  2.4458122   1.885674    2.130715   -3.057174    1.4045419   2.8505204\n",
      " -1.2426745   2.3004725  -2.681864   -0.10295002  0.87024003  2.383017\n",
      "  1.4188718  -0.9462114  -1.8911079  -0.34992462  0.85319746 -2.2556489\n",
      " -0.624863    1.5251106   1.8847826   2.3744915   0.4166617  -2.1273105\n",
      " -2.1784427  -0.45206445 -3.0457735   0.44804338  1.0197985   0.12092032\n",
      " -2.2651322   2.4018643  -1.9975723  -2.4211135  -0.36000708  0.08791557\n",
      "  1.4586227  -2.299625   -0.40439376 -3.1241212   0.55080867  0.20072122\n",
      "  2.971561   -1.6994189  -1.3991172  -1.7485732  -2.5013716  -1.0924875\n",
      "  2.7292197  -2.581523   -1.784468    1.5319129  -0.77191645  0.30207866\n",
      "  2.8725245   0.8110527  -2.118777   -1.8479999   0.37190962  1.02764\n",
      "  1.253613   -2.3299007  -0.41352856  1.9517957   1.8329867   0.60299367\n",
      "  0.7932555  -0.2303094   1.4532516  -0.8723698  -2.178167    2.1012373\n",
      "  0.25580916 -2.5605202   2.980588   -0.9630487   1.5472016   1.9827805\n",
      "  2.897262   -1.8550738  -2.1805637   0.28537995 -0.38085234  1.6495826\n",
      " -3.0534768  -1.2817315  -0.44594508 -1.9482468  -2.5583436  -2.6488814\n",
      " -0.7430981   1.1502135   0.10078292 -2.6949778  -2.3234925  -0.18867758\n",
      "  2.746981   -2.3637362   0.56809187  2.6763837   1.641534   -1.3131963\n",
      "  1.7384882   2.9203222  -1.4146779  -0.56314737 -2.8021193   1.6582352\n",
      " -2.3924437   0.20241591  2.3008087  -2.0580533   0.9722251  -1.5739793\n",
      "  3.029304   -0.93883085 -2.341802   -3.1186683   3.0279605  -0.19989839\n",
      "  0.47831875 -1.0145341   2.466919    3.0033379  -2.22417     0.04055272\n",
      "  2.2483578   0.41732568 -2.1245449  -3.0097811   0.5776055  -2.7304978\n",
      "  1.5399652  -0.7166197  -2.1901052  -0.6791703  -1.5212617  -1.3788295\n",
      " -0.57017803 -0.23969214  2.6532876   0.33353966  0.26174235 -1.8963913\n",
      "  0.3169567  -0.17598598 -0.5031717  -2.455695    0.34334478  1.4358456\n",
      "  2.2019117  -0.5654865   0.1585751  -0.20804909 -0.41803122  2.6802127\n",
      "  2.0989099  -2.7500381  -2.934707   -1.9182514  -0.7837343  -2.588255\n",
      " -0.15187803 -2.7642968   2.3002782  -1.2709825   1.8661077  -3.1043956\n",
      " -0.08982512  0.45753795 -1.678675   -2.0958917  -2.8634474   2.6392605\n",
      "  0.8576381  -0.41613552  1.0319523   2.7499905   3.0415075  -0.5596251\n",
      " -0.8093659  -1.5128242  -2.8812053   0.4671368  -1.3108463   2.8991115\n",
      " -0.04120654 -0.24574871 -2.5936341  -1.5318477   1.7139002   2.2835028\n",
      "  1.8977431  -1.3273331   0.5548855  -3.1404192   2.0280025  -2.285576\n",
      "  0.24994564  2.647953   -2.9746077   0.8387537   0.28920403 -1.5692247\n",
      " -1.9407643  -0.17368045  0.0323154  -2.2575295  -0.12990196  2.549226\n",
      "  2.9407542   2.4873435  -0.64441514 -0.27169627 -3.0075629   1.4819018\n",
      " -0.18846874  2.7593212  -0.18044771 -0.89805603  0.8307236  -2.224809\n",
      " -1.7992281   1.7651262   1.5860424   1.9643375  -0.1642844   0.75756234\n",
      "  2.6533291   2.967565   -2.0973995   2.0081847  -0.54458123  1.9260179\n",
      " -0.18181865 -2.2356017  -0.5001134  -2.6919875  -2.266297    0.28675067\n",
      " -2.922147   -1.2501013  -2.844711    2.5343773  -0.17179103  1.4978454\n",
      "  1.6212136   2.0882592  -0.6722688  -2.8513255  -1.4477243   1.9003874\n",
      " -0.07462866 -1.9307989  -1.5660071  -0.6843202  -2.451341    2.7191157\n",
      " -1.7215017  -1.2279223   3.0918717   2.2777731   0.5448921  -0.26493004\n",
      " -0.26537064  2.212919   -0.44570515  3.0719965   3.136584   -0.92446244\n",
      "  0.37297952 -0.05387359 -1.0115361   2.0119104  -2.9776552  -1.9580997\n",
      " -0.8859459   1.9513788   2.021442   -1.110879    2.9366038   0.6468723\n",
      "  3.0956924   2.5392232   0.9134405  -0.5949743   0.42416012  0.55925983\n",
      " -0.1483715   0.05522088 -1.2307624  -0.86878836  0.4750988   0.3306615\n",
      "  2.63615    -1.9192318  -0.6117571  -1.8117427   1.0430478  -2.611405\n",
      " -0.08339299  1.827499   -0.9314357   0.45935342  2.2855554   2.4769151\n",
      "  2.3525536   3.0110545  -2.2675774  -0.7094541  -1.5807894   2.241205\n",
      "  0.6315851   2.0381284   1.5885404   2.7415838   1.0919796  -2.707584\n",
      " -1.2070222  -1.210464   -0.6337979   2.1732578   2.0176487   1.4839281\n",
      "  0.53626525  1.9682387  -0.9318085  -0.52547956  3.0549083   0.4957612\n",
      "  3.0883853  -0.6941753  -2.9932487   0.76796883  2.9443192  -1.2358142\n",
      " -1.5647894   2.2369263  -3.1088598  -0.9537706  -1.5435611  -0.79495543\n",
      " -1.7790207   2.450752   -2.5227323  -2.7754786   2.6920521  -0.43559644\n",
      " -0.6218389   0.6326053  -1.6810769  -1.618153  ]\n",
      "data\n",
      "[ 816.0215   840.2525  1012.2917   865.788    816.3485  1012.9014\n",
      "  922.62646 1012.1773   837.5425   840.2888   909.5477  1012.8213\n",
      "  932.87354  815.51105 1012.6677  1027.7556   928.06195  955.10645\n",
      "  693.78577 1029.3165   923.1753   947.2766   944.1757  1012.7407\n",
      "  815.04395  923.5532   839.4263   815.3831  1012.1044   940.2975\n",
      "  922.37103  815.5087   840.0381   815.98517  840.79205 1038.5273\n",
      "  840.7354   978.76965  947.2512  1036.9589   851.7817   815.57\n",
      "  920.8754   947.17194 1012.72784  840.7986  1012.6676  1037.2378\n",
      "  879.9046  1026.7588   947.5023   815.6106   941.1257   840.2475\n",
      "  937.01587  831.63684  944.14667 1017.58325 1035.8678   961.2534\n",
      "  815.9208   947.20807 1037.383   1037.5665  1036.9839   877.66705\n",
      "  969.61115  958.5742   945.0132   825.5878   922.35785  840.7415\n",
      "  840.78937  930.5816  1011.9293   945.4715   951.32263  923.1863\n",
      "  889.64813  815.23895  883.6402   840.1944  1018.32776  816.87616\n",
      " 1037.3374   947.04614  944.4328   926.008   1012.41864 1012.0423\n",
      " 1015.81793  840.3982   948.2589  1012.4922  1037.179   1016.2212\n",
      " 1012.45886  954.76135  878.0112   822.3177   947.15796 1012.76526\n",
      "  894.56433  987.8143   840.09863  982.5685  1030.9878  1003.30316\n",
      "  840.144   1018.18005  947.5175  1020.4966   837.0452   855.1616\n",
      "  930.9019   815.03546  839.5599  1012.1561   815.52075  971.87415\n",
      "  840.1355   826.01447  840.7804   933.9892   839.4439  1012.38745\n",
      "  947.0958   921.08136  815.49713  946.1983   947.108    948.3969\n",
      " 1012.4287   839.9941   942.6643   947.3279   817.9032   815.22003\n",
      "  984.94366  815.56854  815.62634 1012.4      939.2542   947.2599\n",
      " 1013.067    937.6356   840.175   1037.3301   860.9662  1038.6967\n",
      "  694.867    922.3866  1038.2527   947.0584   830.1815   822.2331\n",
      "  922.6893   920.5925   816.14685  839.9841   936.7504   922.6516\n",
      " 1037.7493   695.38214  815.9515  1013.006    935.51843  837.25604\n",
      " 1037.4849  1033.6506   828.38184 1012.04846 1036.9111   922.0637\n",
      "  923.949    840.5417   815.5957  1036.5873   947.5428  1032.3021\n",
      "  836.3095  1012.54645  959.5032   824.1443   846.0951   939.29614\n",
      "  852.00903 1037.3002   695.55316  967.67413  841.05457  946.87164\n",
      "  946.7819  1034.6228   815.05444  840.0268  1012.39624 1031.0413\n",
      "  815.8022   840.28406  896.94543 1012.8915   931.7147   815.4955\n",
      "  815.0106  1037.4034   900.26013  815.2526   816.16266  939.9269\n",
      "  815.5486   840.78326  947.12915  815.1944  1036.0717  1037.5936\n",
      "  840.51544 1037.7544   816.0064   946.87146  990.5005   921.9717\n",
      "  940.23785  840.78076 1012.2418  1034.8672   815.267    980.7172\n",
      "  840.91     840.1964  1012.18585  882.82214 1036.9656   840.122\n",
      "  946.77374  922.13837 1037.124    926.84393 1036.9008  1012.36017\n",
      "  814.97    1021.4453  1012.33234  947.1137   816.07605  814.684\n",
      "  840.0856   832.8891   816.4162  1026.999    815.2087   943.59955\n",
      "  935.3935   840.2865   839.95026 1012.9375   815.2719   922.0562\n",
      " 1037.8684  1020.61584 1012.225    832.18665 1037.3203   840.5863\n",
      "  947.7431   947.3232   815.51117  879.305   1031.7029   988.68176\n",
      "  815.5972  1012.1909   920.16156  840.738    922.8015   815.79486\n",
      "  831.7277   947.3042   915.2721   840.19556 1019.6161  1030.8293\n",
      "  815.8185   925.0625  1012.194   1036.8887  1012.32117 1037.0426\n",
      " 1022.295    940.9593   820.2594   873.6128  1015.22815  922.54205\n",
      "  815.15875  939.20764 1037.4918   915.85583  950.57983 1012.04834\n",
      " 1025.7821   947.42053 1012.127    840.21814  840.8091   840.7432\n",
      " 1012.97375 1036.9569  1038.2778   840.7476   695.59595  840.10016\n",
      " 1012.9294   815.37946  932.42944 1012.8726   947.35944 1025.0261\n",
      "  946.7479  1037.9918   929.46906  815.7821   840.85205  947.0349\n",
      "  946.0464   833.58984  847.43524  946.955    914.4428   815.73\n",
      "  815.5219   903.42004  711.20105  815.5611  1002.43274 1012.47565\n",
      "  815.58984 1037.296    930.34375  938.20654 1037.5688   815.8339\n",
      "  815.4703  1018.7056   947.0982   840.54114 1037.7753  1037.2961\n",
      " 1037.7283   821.4534   816.32404  828.911    837.3217  1037.8894\n",
      "  818.5777   832.579    943.644    840.89545 1011.8605   840.28485\n",
      "  815.87964 1003.5754   815.9923  1036.5803  1012.4616   795.0678\n",
      "  839.99255  815.6879   936.59406 1016.36914  829.31146  815.5277\n",
      " 1012.2163   934.6307  1012.34045  815.54926 1037.2473  1016.47925\n",
      "  922.5267   839.9732   815.40076  948.04535  947.45795  840.54803\n",
      "  835.9514   815.66736  840.2663  1013.0438   922.1708   939.3931\n",
      "  814.97363  840.5361  1022.7886   826.0893   694.9977   815.57385\n",
      "  941.6      947.3405  1036.9141  1036.9396   946.8722   840.0822\n",
      "  815.2739  1012.7295   937.6183  1009.6961  1036.8618  1037.6018\n",
      "  840.58997  822.3042  1012.26     946.99646  924.8865  1027.5852\n",
      " 1038.4646   921.859   1021.67145 1012.78     987.3375   947.16034\n",
      " 1012.4127   947.1527  1037.4865   819.30505 1024.1014   815.56903\n",
      "  939.1259  1012.1429   839.93353 1012.41864  816.1048  1013.6224\n",
      " 1036.9701   922.3112  1023.085   1010.191   1036.6327   947.54376\n",
      "  878.051    984.5595   941.1355   835.6484   855.246    840.47864\n",
      " 1030.0443   922.87805 1012.14343  840.18427  694.2177   947.2414\n",
      " 1038.2755   840.282   1022.6861   816.17957  694.04193  815.7987\n",
      "  840.3655   932.40015  840.16125  839.8459   815.04987  841.2566\n",
      "  922.27325 1013.1408   822.5807   934.3473   913.40186  815.2966\n",
      "  815.73193 1012.54663 1037.5292   947.21906  840.2946   840.5418\n",
      "  840.3198   840.38824  815.551    819.53516  947.00507  774.4603\n",
      " 1028.1152   947.5407   815.91833  962.04193 1012.5222   828.95026\n",
      "  940.8419   945.6981   916.5375  1011.8962  1014.3331   815.9502\n",
      "  947.2085   716.2214   815.49493 1027.2379   928.4455   827.9232\n",
      "  947.0793   833.3609   840.3518   938.29254  947.52814 1017.3466\n",
      "  816.1801   815.385   1038.2144  1018.59973  840.0062   840.8065\n",
      "  840.3247   815.55853 1012.89136 1036.6925   926.31116 1012.82825\n",
      "  823.53345  925.1282   943.13354 1012.3768   960.24976 1037.0171\n",
      "  694.611    816.18427 1012.88324  946.97485  841.0004  1012.82587\n",
      " 1037.5387  1037.084    959.4007   932.95953 1037.0961   815.7793\n",
      "  947.4584   828.3482  1036.9436   816.1462  1013.63745  945.455\n",
      "  718.40625  947.27045  815.5864   927.73303  928.81305  816.2188\n",
      "  815.57635  928.4925   909.02924  858.803    826.5872   944.0664\n",
      "  926.2178   894.6014   925.2952   947.0644   841.04694  817.4869\n",
      " 1037.2947   840.4444  1012.38763  815.16223  844.5783   908.20386\n",
      "  939.51526 1012.86945 1012.7248   838.60364  943.44434  839.7964\n",
      " 1017.8836   950.173    814.9815   947.4607   922.202    824.3928\n",
      "  963.39935  839.81323  947.44183  862.42816  839.92676  946.8714\n",
      "  990.0987   934.7296   914.8175  1023.3133   884.36804  840.8861\n",
      "  815.5085   853.89386 1036.4387   922.35046  947.3443   828.5538\n",
      "  923.0648   914.78705  945.36646 1012.81805  839.8519   840.5778\n",
      "  926.91583 1037.7988   694.6279   947.48126 1013.13824  817.3855\n",
      "  947.24945  815.59015  816.8798   815.28314 1012.3907   840.7425\n",
      "  815.50635  913.04095 1006.44867  943.0446   981.5244  1038.3943\n",
      "  922.266    816.11505  922.3818   940.66766 1012.0073   999.34863\n",
      "  974.3504   947.1364   816.0363   883.8355   932.33734  815.8913\n",
      "  816.27924  947.00745  947.17377  922.68616  917.9403  1012.6885\n",
      " 1037.2052   816.0857   815.9753   829.11395  912.62885 1012.5292\n",
      "  829.5907   985.19293  840.9353   840.5416   946.0092  1037.2365\n",
      "  872.3955   840.2043   815.63824  946.9673   947.09094  816.1073\n",
      "  840.227    704.0762   964.5662   840.5078  1036.5942   907.0669\n",
      " 1036.9462   939.82556 1015.3002   934.8301   922.60626 1017.4495\n",
      "  815.3879   815.00116 1018.7079   922.7943   922.91907  992.5232\n",
      "  882.7163  1038.2952   815.3548   840.30316 1038.6381   822.0675\n",
      " 1031.4237   867.34094  836.9224   947.6001  1012.6113   815.0775\n",
      "  840.2858   816.1184   939.453    946.9718   927.324   1012.3112\n",
      "  816.1611   922.0309   814.7518  1012.65027  816.1543  1037.959\n",
      "  946.87164  922.6606  1037.4408  1037.0326   886.9911   815.57605\n",
      "  930.4865  1037.2793   946.9677   839.98126  933.2863   967.7664\n",
      "  840.3699   973.451    693.81256  947.17725  840.12836  812.66296\n",
      "  922.4316   947.2705  1037.4115   822.11395  835.9999  1030.4691\n",
      "  816.7347   840.027    840.37177  824.3883   820.51227  825.8088\n",
      "  961.23413  816.15125  947.308    947.34186  816.02893 1018.13965\n",
      "  815.43384  952.8359   879.9655   840.94086  854.7564   816.14777\n",
      "  957.2838   947.5665  1012.73755  922.0538  1036.8488   815.56244\n",
      "  848.44434 1012.41675  840.52924  946.5848   942.73206  824.2844\n",
      "  694.02844 1036.6376  1027.5571  1012.3804   840.7304   923.0675\n",
      " 1036.979   1021.0846   840.2322   947.12964  840.5322   839.93884\n",
      "  840.811    840.8812   815.1311   815.78845  947.21625  922.27673\n",
      "  695.24896 1017.8345   840.5954  1001.90643  693.75903  815.78735\n",
      "  840.7374   843.2692   840.31995  945.4946   815.6117   822.7378\n",
      "  947.0827   815.27124  840.246    922.38324  815.29706  815.5828\n",
      " 1037.466    815.67896  935.09436 1016.4565   930.2023   839.9781\n",
      " 1011.8656   819.9631   926.94226  935.17175  815.36523  840.081\n",
      "  774.0676   937.5587   821.8552   815.66705  933.0221   924.0813\n",
      "  814.99664 1005.9884  1037.1387   922.25275  822.25934 1012.9407\n",
      "  922.6886  1007.7943   873.90845  815.3448   840.7681  1034.374\n",
      " 1016.4064  1012.09454  840.3698   918.7095  1037.3588  1028.6924\n",
      " 1036.9446   834.8937   946.73145  754.67474  836.3418   947.45184\n",
      "  940.55676  948.019   1012.58295  839.3994  1036.9625   922.912\n",
      " 1022.4144   840.5529   911.9981   922.7736  1000.6383  1013.287\n",
      "  817.70557  947.0696   822.5862   951.5183   815.8025  1015.931\n",
      "  946.10785  815.054   1012.77747  840.8703   815.19305  839.36\n",
      "  816.12366  922.1183   840.2735   840.2141   997.4265   947.4591\n",
      "  840.26495  821.1844   815.9595   840.09265  815.79504  840.02075\n",
      " 1012.69055  953.6451   815.80304]\n",
      "signal\n",
      "[ 977.6876   983.89154  921.92145  819.31635  944.788    693.842\n",
      " 1015.401    907.7138   840.8764   693.8903   817.3374   923.7548\n",
      "  693.78217  864.38556  917.6739  1001.30334  814.87573  706.0536\n",
      "  739.3574   892.45264  840.0968   756.648   1021.345    866.87506\n",
      " 1029.9458   984.07886  694.21295  828.2848   926.57574  890.1188\n",
      "  694.88306  869.6206   819.04755  858.00415 1001.77374  826.66284\n",
      "  945.0894  1013.31506  977.77686  957.9729  1037.4467   954.58624\n",
      "  840.3858   929.3266  1035.5312   971.1019  1005.4315   839.9516\n",
      " 1002.4763   895.7128   970.0321   833.94543  969.0536   853.1997\n",
      "  860.8981  1033.2013   827.49194  698.25244  693.90106  946.3763\n",
      "  999.86914 1012.3416  1037.0938  1026.9281   928.407   1037.247\n",
      "  874.84015  902.3253   990.19025  942.7523   906.7412  1026.357\n",
      "  962.37555  703.52246 1005.5599   987.2532   821.0578   953.4901\n",
      " 1018.9057   819.146    840.246    840.72626 1012.2579   858.15967\n",
      "  818.4785   959.2698   944.0657   919.9272   858.2479   854.83325\n",
      "  983.47864  974.5398  1007.7009   947.2917  1020.851    834.79517\n",
      " 1037.4137   960.2662   856.22437 1012.16785 1012.8836  1037.5446\n",
      "  825.3035   890.16034  950.58154  818.484    711.6657   918.9519\n",
      "  971.4881   701.2586   693.8322   694.1524   818.877    820.40857\n",
      " 1032.7053  1011.0468  1011.73505  823.6589   841.86536  711.6166\n",
      " 1036.2006   840.7897   827.2012   989.6456   852.2711  1036.0076\n",
      " 1033.7677   729.11316 1035.0878   987.60583  922.6528   853.1634\n",
      "  847.1057   845.06366  989.53986  693.81024  866.7414  1036.5363\n",
      " 1012.35724  815.0993   942.3789  1016.6388   839.538    941.8784\n",
      "  734.01666  977.8258   987.5809  1014.56775  871.5361   840.7616\n",
      "  977.1985   844.93207  983.99194  943.76544  946.7355   890.3269\n",
      "  882.9001   914.0608   699.6187   834.3554   969.3075  1037.3894\n",
      "  693.6682  1031.88     901.35004  831.8244   839.9442   821.9701\n",
      " 1036.2699   906.93994  698.27856  838.17395  843.3747   693.7771\n",
      "  977.5573   840.7079   778.35126  924.15295  950.7607   882.41895\n",
      "  693.7155   837.9378   877.22833  992.4723   823.2428   830.85645\n",
      " 1036.236    837.6879   843.7238   978.8995  1012.3736   874.22833\n",
      " 1001.87024 1012.49524 1035.4146   779.2981   854.8414   833.7169\n",
      "  693.88916  693.8943  1025.051    840.98334  694.2205   865.0793\n",
      "  693.8474   694.62445  866.63086 1036.6349   939.1927   844.66125\n",
      "  990.238    870.5162   930.0258   855.8593   896.34265 1036.9984\n",
      "  898.73413  980.2182   714.68024  931.0607   861.7728  1015.85675\n",
      "  814.9678   826.8764   694.18256  817.0677   833.3224  1012.33685\n",
      "  965.72174  840.04285  893.0454  1016.82227 1024.2006   913.17365\n",
      "  939.2309   817.3602   946.09955  693.77216  694.5569  1037.5212\n",
      " 1037.243    799.58905 1037.3378   912.576    954.0726   827.2344\n",
      "  840.65906  860.9255   832.85724  959.05383  812.1691  1012.6016\n",
      "  942.80334 1020.1091  1037.0511  1012.57404 1020.40845  757.1554\n",
      " 1020.1103   891.71277  948.8195   725.5987   830.31946  822.2423\n",
      "  693.9788  1012.0205   823.097    857.60535  983.8323  1008.37134\n",
      " 1022.6287  1036.3925   990.9385  1037.1151  1011.4658   818.71893\n",
      "  871.4331   828.49866  830.1755   955.8163   941.8646   851.1712\n",
      "  844.4863   894.8518   797.4376  1012.59576  716.538    946.9482\n",
      "  845.4154   876.88635  694.2259   949.4202   852.9836   964.70105\n",
      "  878.90826  816.1082   933.39105  988.6705   959.11176  954.4839\n",
      " 1037.3804   842.82245  839.4849   943.899    747.8984   837.2131\n",
      "  956.03784 1000.3842   694.01154  922.7907   840.08466  948.6249\n",
      "  957.49554  921.1309   954.70447  999.7391   988.168    841.1537\n",
      "  852.9861   989.7615  1036.6965   825.26306 1012.17706  975.0018\n",
      "  972.26685  932.30194 1000.5732  1028.9438   698.24146  826.1613\n",
      "  976.68677  693.90344  951.0015   729.7302   849.04785  694.5828\n",
      "  941.20953 1037.1487   839.8107   821.677    969.10724  839.8992\n",
      "  702.8755  1037.4016   992.0745   840.05334  819.5884   713.296\n",
      "  987.17676  989.3225   693.98364  818.67456  839.4499   708.599\n",
      "  823.8986   856.17053  985.2527   840.8704   694.0324   814.73035\n",
      "  931.7997   817.2182   839.9052   820.2472   853.14764 1018.04926\n",
      "  829.79034  946.79004  946.34796  985.5494   996.779    828.34906\n",
      " 1030.9529   950.903    973.00635  693.72473  839.5691   855.8925\n",
      "  693.72595  983.7997   952.7563  1029.0656   840.1171   957.11426\n",
      "  693.8005   698.2721   916.28314  981.19586  694.2134   981.1819\n",
      "  832.9982   907.52466  693.8576   846.17883 1012.9224  1024.0643\n",
      "  957.20856 1023.18536  826.94196 1036.5986   955.6844   694.42175\n",
      " 1033.8446   840.86005  950.3503   877.97943  993.9893   750.5779\n",
      "  841.06537  922.496    693.823    834.409    876.45074  929.8794\n",
      "  857.1679   944.207    897.07587  902.8596   828.0886   829.6842\n",
      "  890.17346 1015.4064  1035.2861   835.3457 ]\n",
      "data\n",
      "[ 817.231    839.5591  1037.389    842.16766  827.0949   814.50903\n",
      "  946.3891  1035.8274   839.69574  815.65076  816.75696 1020.88947\n",
      "  829.30707  816.41064  699.57275  922.582    916.65356 1018.4029\n",
      "  930.0612   839.8151   941.4263   833.44775  946.4982   695.6213\n",
      "  840.86255  924.33636  830.044    818.5886   839.666    824.2566\n",
      "  924.36115  940.67084  839.72797  825.22437  825.77344 1013.0905\n",
      "  823.1826   826.5252   840.01166 1036.9102   950.4262   840.8045\n",
      "  823.9169  1036.6227   839.86224  826.813    816.3906   834.6046\n",
      " 1037.6749   819.2412   819.07263  827.41174  948.90894  839.9942\n",
      "  921.4857  1007.13885 1004.9905   834.405   1014.2427  1012.7887\n",
      "  940.8043   825.1878   835.0123  1025.5315   840.8918   815.2929\n",
      "  826.37994 1034.735    937.55383 1036.6448   925.2278   816.0679\n",
      "  839.7882   821.9758  1013.54156  934.5695  1012.77594  941.8014\n",
      "  843.80005 1037.2726   831.4933   816.9814   958.5865   935.3391\n",
      " 1028.1407   825.02545  947.13416 1012.94006  818.7356  1019.1714\n",
      "  944.32135  826.2252   694.751    834.8805  1037.0074  1023.68896\n",
      "  916.0803   816.9229   932.75256  945.81445  832.5512   948.33185\n",
      "  942.4012   838.5927  1013.74445  843.86993  827.4634  1034.4431\n",
      " 1037.2278  1035.0195  1016.9642  1025.8397   832.3655   838.2392\n",
      " 1027.5541   839.1307   840.10815  836.85333  829.7275  1025.3057\n",
      "  835.31726  937.5241   947.49115 1024.3116  1002.7018  1034.5529\n",
      "  922.36237  821.56354  824.9993   815.1569   947.5359   815.9462\n",
      "  824.9218   936.0703   701.40784 1034.5438   836.19763  820.4318\n",
      " 1014.94934  839.387    839.56995  817.70135 1026.3857   947.5119\n",
      "  819.62335  927.78625  817.70245  937.1701   956.86005  817.58093\n",
      " 1027.3278  1035.8699   846.7792   940.79346  824.47504  930.81415\n",
      " 1027.3339   935.00555  922.1702   841.27045  931.8475   819.2941\n",
      "  839.9844   832.20935  831.1605  1024.1796   840.4521   832.4125\n",
      "  840.81506  842.1223   840.6422   839.6855   817.4828   839.90125\n",
      "  839.85706  838.9985  1031.5048   694.85846  840.61304  825.4049\n",
      "  947.1323  1037.982   1025.8694  1028.7277   831.6185  1012.9409\n",
      " 1030.524    922.1765   837.66364  817.4971   946.94385  942.03656\n",
      "  822.509   1031.4456  1037.8132   817.9519   842.47516  928.2728\n",
      "  839.7668   834.5528  1031.8552  1006.394    826.9688  1012.7011\n",
      "  829.7813  1020.65894 1032.9945   826.23987  836.858    817.4268\n",
      "  828.50885 1012.34906  835.27563  819.88574 1024.7026   830.4743\n",
      "  839.71344  946.1097   835.9112   840.0868   826.2755   945.7698\n",
      "  944.42957  831.08875  920.3947   956.90375  823.7943   927.2269\n",
      "  829.9314   922.39    1034.5248   837.733    928.16205  816.0916\n",
      "  822.56177  946.87463 1035.238    836.48425  842.79486  839.63727\n",
      "  825.13605 1017.8952   839.57654  836.60736  833.9815   839.78094\n",
      "  839.8556   817.035    932.4905   825.88116  965.75037  937.3618\n",
      "  922.2313   839.2233   817.31573  833.7563   825.87787  830.6999\n",
      " 1028.4839   823.87964  839.27405 1008.5798  1035.9862   840.37494\n",
      "  947.31195  946.1382   840.90826  846.68866  839.32776 1029.7533\n",
      " 1037.2195   816.3103  1027.0494  1013.32666  948.2573   824.80554\n",
      "  939.64215  825.40234  927.2661   821.6986   694.58575  937.61786\n",
      "  816.4167   843.2289  1019.57916  834.8769   926.2806  1035.1512\n",
      "  918.03516 1012.253    827.1277   819.28955  832.5285  1010.69574\n",
      "  839.5548   946.7846   821.5725   831.93115  816.39813  841.07983\n",
      " 1019.2896   823.978    946.931    815.7633   825.2287   829.1292\n",
      " 1034.4026   822.3312   839.8829   947.11273  829.6469   821.5496\n",
      "  922.27594  839.87915  840.5534   843.0737   922.19617  923.10925\n",
      "  839.7751   921.98     840.03107  815.91174  839.73315  833.7169\n",
      " 1037.6388   695.1339  1009.0522  1037.4692  1029.522    818.61566\n",
      " 1019.6505  1030.1743   923.19946  815.0353  1009.665    925.24774\n",
      "  843.2829  1016.21277  820.5219  1035.4105   834.2093   816.10675\n",
      "  936.57184 1029.0146   695.6352   964.8692   829.46466 1038.6465\n",
      "  814.7745   827.7959   814.6471   840.6038   695.60974 1035.4213\n",
      "  816.8418   940.0994   824.0573   827.5082   839.31354 1035.4343\n",
      "  828.0594   694.10455  838.8012   814.99536 1031.3383   934.55145\n",
      "  840.1177   839.37134  816.8849   922.14557  815.429    839.8807\n",
      "  836.832    945.39105  838.36664  839.611    833.7266  1036.2657\n",
      "  931.51184  841.51013  839.60626  934.57404  830.9986   922.7872\n",
      "  820.352    816.9692   840.1085   839.5603  1033.5109   937.5739\n",
      "  839.5802   840.9589   929.1015   824.5851  1021.2533   840.10406\n",
      " 1012.59015  941.66534  816.1044   841.12463 1033.8593  1006.8199\n",
      "  827.95844 1004.4302   833.54834  931.6743   836.5464   815.49854\n",
      "  953.14026 1019.3341  1019.82996  815.4333   941.2465   921.4978\n",
      "  923.0764   933.20776 1012.6852   840.005    829.99304  826.20013\n",
      " 1036.9873   829.9292   839.861    830.543   1017.3607   840.138\n",
      "  947.02026 1012.2579  1028.7781   815.7343   819.32074 1019.1203\n",
      "  840.8501  1005.70483 1009.80237 1017.3088  1034.0524   816.6678\n",
      "  836.414   1011.387    831.4635   936.3319   947.51514  818.3693\n",
      "  827.5958   947.76917  695.1804  1013.75116  941.2299   836.95953\n",
      " 1003.769    948.2478   839.25226  815.5782   924.1993   814.7822\n",
      " 1038.2931   930.1481   840.1471   835.88965  814.59515  923.18134\n",
      "  819.28546  823.46814  815.21906  825.81116  840.5797   839.45386\n",
      "  816.5856   822.676   1037.3992   814.65155  839.4962   953.5597\n",
      "  830.988    828.98267  820.1304   824.31915  942.2251  1027.0469\n",
      "  919.6503   837.4497   949.0807  1023.01624  944.616   1014.7838\n",
      " 1013.4983   922.8633   837.1841   833.65594 1004.9605   839.5831\n",
      "  824.25775  948.42944  830.74207  822.1953   842.1073   841.79285\n",
      "  825.6582   840.57965  823.9214   911.42126  924.5019  1028.7736\n",
      "  839.57043  946.0922  1023.40515 1020.2629   839.9136   815.55414\n",
      "  840.283    836.32996  838.1184  1021.6985   839.8561   846.9123\n",
      "  842.9739   839.8743   933.31586  918.5967   944.24316  693.75555\n",
      "  913.8465   839.59827  697.4865   934.106    838.7267   838.46387\n",
      "  839.91455  835.1927  1007.80536  834.0297  1037.1072   831.8337\n",
      "  839.3301   839.29016  840.75635  818.65375  815.91797  922.1906\n",
      "  968.45654  947.71436  819.4695   922.3023   946.42175  839.84827\n",
      "  814.999    820.0518   941.8054  1022.38367 1004.0206   933.7925\n",
      "  947.0359   969.09875  838.08496  840.48016  820.7234   815.7963\n",
      "  836.56256  816.1443  1013.5224   815.2481  1012.93585  932.9963\n",
      "  814.74347  839.79236  928.3935   810.88916  817.1531   839.7706\n",
      "  840.8703   839.8867   815.7294   848.6834   840.40015  693.79565\n",
      "  935.3686   840.60657  946.9318   948.92773  837.8299  1013.1485\n",
      "  939.70514  815.81226 1002.8764  1010.94934  823.6715   840.765\n",
      "  837.5458   946.86536 1031.2411   932.15765 1013.53687 1015.974\n",
      "  828.2161   933.1198   933.2072   819.1604   839.53235  829.97375\n",
      "  921.8141   840.8372   931.6805   920.6394   841.10535  817.4226\n",
      "  814.7879   841.7556   825.0672   817.60376  829.0828   840.5859\n",
      "  835.7933   847.2971  1018.3613   922.4821   831.1154  1018.5425\n",
      "  816.1363  1037.7631   943.2602  1013.39136  819.8067  1019.39954\n",
      "  948.3119   820.069    840.26337  837.01154 1010.0177   820.55786\n",
      "  839.8322   832.7594   946.53796  831.567    960.67834  839.94696\n",
      "  826.7048   840.38947  816.398    826.69336 1005.06665  940.23914\n",
      "  821.1831   969.7947   836.35016  839.58734  931.06525  818.17194\n",
      "  841.3756   946.74054  928.5807   814.7321   834.5572   694.99817\n",
      "  821.317    694.765    834.24817  839.5594   818.8233  1029.8656\n",
      " 1038.1814   930.66437 1016.1125   825.3769   839.5726   937.70557\n",
      " 1018.79425  814.9698  1013.49805 1019.8626   818.14087  931.9455\n",
      "  831.13165  936.5604   922.0798   947.9154   825.1208  1037.3202\n",
      "  915.5342   838.5947   815.56165 1037.2104  1011.91833  840.46716\n",
      "  839.73096  818.29803  840.6905  1030.8085   935.6764   837.1631\n",
      "  838.08295  833.48334  840.03516 1012.7428  1028.9386   839.436\n",
      "  717.87    1012.5899   835.0191   947.0617   844.20544  840.151\n",
      "  941.89026  928.7491   815.2151   837.46063 1007.2826   819.104\n",
      "  827.0318   948.5637   839.9328   839.5897   826.9479   822.2358\n",
      "  839.86395  839.57245  839.85266  819.03156  693.9765  1004.5064\n",
      "  814.8276   839.99615  815.23944 1019.9246   830.184    837.0984\n",
      " 1023.3636   838.5629   840.96313  836.2682   839.6159  1029.1958\n",
      "  815.9275  1037.969    822.1931   824.96655 1038.2887  1012.2126\n",
      " 1008.9309   834.2788   934.8013   938.3605  1018.0533   698.8623\n",
      "  821.69196  817.1346   834.3877   946.6635  1029.375    823.90814\n",
      "  940.11554 1037.6339   948.3672   840.2834   827.48236  931.2974\n",
      "  831.9299  1037.9745   839.814    945.9836  1038.1797   946.52576\n",
      "  944.1033  1037.5435   839.549    954.8912   832.7612   814.5134\n",
      " 1017.1342  1012.50726  840.9551   694.28674 1029.8336   817.0416\n",
      " 1007.725    945.4101   839.73737  923.65515  839.6014   942.77374\n",
      "  840.4368   946.686    815.16846 1012.8993   925.5757   837.27606\n",
      " 1015.98334  923.7313   947.2854   921.2551   948.2305   830.22925\n",
      "  839.8995   695.2464   922.35864  817.8784   839.8741   825.0769\n",
      "  961.65784  838.7887  1003.18414 1034.612    932.34485 1011.12555\n",
      "  815.5726  1019.3245   935.00507  815.4398   819.91327 1012.57666\n",
      "  947.3129   933.3296   956.1513   839.29083  836.30347 1036.6687\n",
      " 1026.8188   836.6014   816.31244 1035.8956   946.52155 1019.002\n",
      "  819.8218   826.2533   817.54376  923.5731   832.1723   839.589\n",
      "  943.86786  832.17316  947.00385  839.88007  815.65735  838.2349\n",
      " 1023.192    815.52075  832.59564  835.7514   840.7228   938.26666\n",
      "  826.62274  836.9675   949.5164   816.14325  947.6138  1016.6965\n",
      "  930.63043  939.9344  1010.2323   840.8075   815.56024  832.4414\n",
      " 1011.0995   839.3905   949.4348  1038.5157   825.88184  840.08484\n",
      "  819.32635  815.5571   814.9375   839.7993   840.4393   838.14825\n",
      "  928.2429   934.46173  824.7256 ]\n",
      "signal\n",
      "[ 823.2492   836.805   1034.0243  1031.6997   841.1601  1036.7174\n",
      "  693.95404  951.80414 1025.6542   694.9756   837.0288   833.9423\n",
      "  823.1937   693.70337  827.4234   814.9597   818.86847  810.769\n",
      "  815.20526 1013.19806 1030.2483  1032.0178   841.3372  1031.8091\n",
      " 1019.7608   694.1355  1029.6957  1027.0034  1018.076    694.8876\n",
      "  698.78467  833.175    821.00775  836.9246   835.4277  1015.2733\n",
      "  936.3327   840.3292   934.1977  1029.968    837.66656  830.0006\n",
      "  965.98615  821.1767  1033.1285  1028.6887   968.4463   932.3431\n",
      "  827.7724   823.3602   845.2204   959.7091  1026.5636  1014.91504\n",
      "  963.85284  921.7242  1021.8173   831.4934  1031.0073   930.6774\n",
      " 1020.6986   939.82324  823.3744  1030.7014   719.1913  1017.4705\n",
      " 1035.8058   920.0265  1032.0826   842.47424  952.2874  1007.1609\n",
      "  693.8167   819.06854  849.65967 1026.9182   694.3815   921.193\n",
      " 1037.3494   967.7213   838.40497  944.9474  1030.8419   829.4657\n",
      "  937.9221   966.67737  816.8134   963.4948  1037.5392  1028.072\n",
      "  824.8789   843.90454 1035.6669   828.5225  1022.00806  694.16425\n",
      "  837.14044  845.17163 1027.0986   951.6815  1012.7564   926.24335\n",
      "  693.8429  1027.791   1034.6862   963.2193   961.23224 1030.427\n",
      "  930.5917   849.5416   816.3026  1033.8687   693.9491  1030.6694\n",
      "  957.41516  925.36945  835.30396  839.94653 1027.198    964.846\n",
      "  831.0943   817.7154   958.2174  1035.0712   961.8156   836.4752\n",
      "  934.92456  827.4817  1018.0867   961.75116 1007.73486  958.5131\n",
      "  937.1744   848.9952  1021.9904   965.95984 1019.9506   693.8097\n",
      " 1013.7705   824.37555  844.3959   817.4086   845.4269   949.20703\n",
      "  825.0731   818.6046  1037.3951  1035.7001   833.6285   951.0562\n",
      " 1010.824    830.81976  959.2223   831.1971   833.34845  926.60504\n",
      " 1008.7411   962.1842  1025.0044   823.0925  1005.4379  1037.5347\n",
      "  838.0331   942.54016 1020.4912   842.55707 1024.113   1027.0396\n",
      "  945.7551   702.87976  721.7676   934.5679   966.9946   714.34937\n",
      "  693.8499   820.4585  1010.84326 1037.4713   967.1423   842.42847\n",
      "  959.7208   963.81757  965.30273  914.05347  829.7555   815.3455\n",
      " 1021.59296  693.8456  1036.5393  1015.5978   920.7662  1033.1898\n",
      "  950.9443   826.1517   815.91907  694.5743  1027.3989  1016.85565\n",
      "  695.0581   835.0497   840.265   1024.6454   822.19543 1020.50775\n",
      " 1030.3391   839.00757 1021.4039  1014.5866  1031.3602   693.8285\n",
      "  694.3826   823.75183  969.14197  960.47986  959.2384   954.22906\n",
      "  950.5899   827.6687   955.34766  965.34064  839.5872   848.3139\n",
      " 1021.9247   838.36566 1017.17737  940.4087  1029.0923   838.3529\n",
      "  944.6467   694.5386   951.54596  815.6806  1008.931    948.0022\n",
      "  957.2823   846.0973  1036.6426  1031.0297  1036.7069   951.0749\n",
      "  829.1227  1036.2273   831.6645   939.58875  968.0147  1032.5864\n",
      "  697.31055  964.755    836.4988   836.904    839.0357  1024.8142\n",
      "  953.28546 1009.5159   828.7443   830.0301  1018.0788  1023.6411\n",
      "  846.8751   849.54675  965.2229  1027.3419   937.66864  952.2051\n",
      " 1036.9152   840.98834  693.94037 1034.3789  1008.14484 1009.606\n",
      "  957.7146  1028.9755  1029.8776  1033.3638   827.59125  839.13983\n",
      "  928.3634  1033.1333   838.055    932.9539  1029.688    949.73364\n",
      "  821.47925 1005.73596 1019.9495  1008.3886  1036.3241   968.0747\n",
      " 1010.1907   834.9851  1037.4009  1021.86676 1033.2351   816.97363\n",
      " 1011.54724 1021.5801   817.1859   952.5097   945.33435 1022.627\n",
      "  693.76794  949.21063 1012.6855   828.22253  842.9654   693.8703\n",
      " 1037.1218  1025.1613  1031.6715  1022.6621  1028.6036   969.0727\n",
      " 1007.7908  1036.2538   835.0791   935.9871   947.573    694.10236\n",
      "  962.73926  841.27344  969.3806   830.6357  1021.1392   824.80804\n",
      "  930.8387  1037.3278   832.61633  840.8609   715.188    832.8269\n",
      "  821.09375  950.70325 1026.127    704.3222  1031.7422   820.9238\n",
      " 1032.6395   824.2472   937.4189  1020.3487  1013.5646   946.1378\n",
      "  964.83484  849.1117   933.11176  693.8797   957.65424 1033.6984\n",
      " 1019.52026 1016.4849   957.7734  1021.35077  843.2986  1016.8627\n",
      " 1016.228    835.0506   832.42194 1003.3179   820.5716   700.82806\n",
      "  966.0669   842.23956  706.3945   697.78503  816.6662  1029.5049\n",
      "  826.8848  1037.1145   840.63934 1026.3495   958.34894  815.7308\n",
      "  944.1139   818.4236   695.9495  1036.4856  1035.899    837.8361\n",
      " 1029.0723   946.4652   820.86896  950.1902  1037.2965   947.92303\n",
      "  833.7849   846.1671   920.1799   846.00116 1035.3662   935.5425\n",
      "  712.5305  1020.68414  962.2641   969.94366  946.4264  1027.1233\n",
      "  826.03375 1027.813    964.73395 1011.7361   694.3982   951.12585\n",
      "  827.9843   962.8446   703.2098  1016.8353  1012.92523  964.3171\n",
      "  823.1229   694.9495   842.4565  1008.7138   969.443    911.576\n",
      "  962.048    694.2328   966.5162   947.2415   958.44025 1024.899\n",
      "  842.78845  833.1999   694.50385 1027.5256 ]\n",
      "data\n",
      "[171.80446 178.67892 257.97763 229.31737 475.5766  274.60593 231.22418\n",
      " 237.75232 507.24213 189.81766 579.6318  219.90001 200.54451 187.81007\n",
      " 204.34102 390.47162 615.43024 575.2354  617.7429  544.5611  448.2388\n",
      " 208.61897 466.5183  291.186   456.9576  392.54214 505.86325 172.29674\n",
      " 228.57678 452.90244 223.62161 221.2261  201.8845  469.25824 609.8834\n",
      " 507.7545  170.15128 629.23425 221.10031 564.0337  593.8153  158.78618\n",
      " 478.92496 261.8878  271.4503  250.0337  228.39012 227.85797 414.45706\n",
      " 531.5     203.6154  260.81097 185.46527 287.9888  534.26166 487.21277\n",
      " 497.34756 234.29945 480.93054 633.0357  209.22295 207.64397 294.0218\n",
      " 256.6404  229.66505 265.39236 481.94962 492.41013 507.09378 600.0476\n",
      " 285.50937 157.4429  262.05557 208.16876 227.86595 266.74634 192.91974\n",
      " 464.05057 195.51625 185.73157 171.14091 173.84573 419.39526 249.29492\n",
      " 207.49594 178.66824 249.17163 241.34288 243.05191 281.55792 287.28598\n",
      " 320.61606 484.78104 220.84032 313.62616 426.72403 299.72876 615.2925\n",
      " 312.95135 225.63338 238.16109 231.92677 601.2677  205.41518 174.0416\n",
      " 532.9949  491.35446 262.03323 196.84537 513.8456  212.94539 507.8951\n",
      " 524.0195  478.23932 217.42871 179.35762 582.4895  260.3482  566.7215\n",
      " 415.11932 503.0381  641.1073  222.12555 242.12546 417.03867 253.27483\n",
      " 277.71945 590.6939  170.16614 256.56924 211.97447 600.7099  262.2815\n",
      " 172.00041 186.88423 669.62933 220.47284 492.8762  256.7268  307.7673\n",
      " 229.97008 241.42622 517.57947 284.52576 521.8267  559.62177 171.0405\n",
      " 306.2421  600.5083  624.25476 558.45483 211.93634 500.9013  253.19115\n",
      " 492.3544  512.63165 307.9493  543.75256 209.58728 191.03972 538.2425\n",
      " 269.95193 212.30553 578.1196  257.19983 292.84872 508.7581  241.29637\n",
      " 653.16235 616.0363  558.43475 276.68478 265.59103 257.6151  261.01166\n",
      " 164.81906 202.63615 540.77185 234.61263 256.6959  456.52008 240.00624\n",
      " 490.0414  570.36127 179.86525 497.47092 582.7959  228.34059 560.3899\n",
      " 235.6303  292.65094 237.52611 323.5701  543.5568  534.2912  524.1199\n",
      " 219.09276 435.93292 267.49557 167.4309  498.35895 546.595   597.27905\n",
      " 175.3722  651.01105 472.66565 480.4411  448.71167 215.5249  268.35864\n",
      " 167.76787 161.5801  191.56664 273.88354 561.5196  213.01906 434.28275\n",
      " 565.7564  481.38812 220.48143 257.38373 199.00317 508.41724 214.93507\n",
      " 585.0653  637.4775  251.34055 526.94824 207.1974  202.57071 273.17264\n",
      " 256.90408 290.21802 434.12216 411.31146 215.62344 239.8049  276.43054\n",
      " 235.13762 275.5654  227.85721 578.80396 263.3673  399.72256 184.22003\n",
      " 448.34335 176.42453 378.3461  515.57184 296.2685  185.90515 452.58563\n",
      " 466.78763 258.25742 224.94081 279.9956  190.58138 238.83298 401.8506\n",
      " 207.84683 250.72801 666.9458  535.265   580.9456  293.00592 274.19333\n",
      " 203.1047  257.65353 235.22044 246.03558 173.47069 222.42892 578.7855\n",
      " 194.10356 210.63745 165.03015 531.1379  246.20601 201.85132 168.48476\n",
      " 232.2049  572.6574  236.61911 242.18071 223.24445 208.95183 500.83682\n",
      " 234.52419 481.20306 452.99387 239.72115 198.7742  440.1841  192.07268\n",
      " 223.74724 193.67119 433.79965 626.3656  255.24155 214.444   198.31438\n",
      " 185.74329 216.38257 218.49525 220.25352 168.97636 379.04596 235.1422\n",
      " 449.79355 187.25026 585.3261  219.54047 525.025   216.17023 186.6762\n",
      " 258.43286 266.32108 279.3544  199.67609 340.55707 216.23016 192.23318\n",
      " 173.3782  257.69867 485.47858 184.17735 294.64572 191.92216 214.78526\n",
      " 200.24294 164.1327  602.2676  519.0005  190.92348 228.46303 502.9165\n",
      " 223.80447 386.97186 302.48953 297.64188 252.42113 288.562   188.17651\n",
      " 493.552   305.51956 215.95299 298.0281  266.16095 259.77252 466.50906\n",
      " 203.74179 499.1016  543.2838  555.70544 538.176   402.70074 530.92804\n",
      " 196.61179 235.38585 581.49274 246.5897  251.16365 183.92836 291.79532\n",
      " 200.1264  541.6025  181.71753 254.23563 210.34859 626.7384  437.52032\n",
      " 197.07951 283.10596 445.57095 286.57816 220.2159  635.252   454.79337\n",
      " 433.6502  200.13905 214.42154 473.23935 199.85707 177.90059 428.22427\n",
      " 167.04012 175.06778 442.31445 189.37285 415.94354 439.63306 192.67567\n",
      " 457.17545 476.76297 615.51843 179.95345 594.38153 257.49982 231.29869\n",
      " 231.71739 222.56018 484.94717 533.5982  298.48453 371.46866 363.48022\n",
      " 216.95013 221.0572  242.1995  481.29623 309.7185  221.96707 446.72122\n",
      " 235.054   475.42447 593.5866  509.1334  286.64963 222.8984  261.88116\n",
      " 290.70255 220.29544 283.90942 235.6457  595.02924 172.28503 390.23105\n",
      " 257.0888  196.82343 295.3439  247.97186 626.9372  243.29622 227.73311\n",
      " 434.96384 463.54358 258.34222 195.0577  208.99887 386.65222 617.3839\n",
      " 513.68616 447.44547 290.8916  481.71487 467.11514 211.79907 199.5226\n",
      " 629.11383 183.82834 616.59424 200.4662  574.5217  582.09094 585.7183\n",
      " 214.59283 186.76764 510.23972 169.9487  463.1578  412.74225 648.0048\n",
      " 497.7298  444.7555  592.6955  562.91016 220.81178 238.12836 211.26581\n",
      " 249.50952 579.32074 286.84323 194.26924 231.5579  209.9825  230.26929\n",
      " 174.49068 507.50925 234.83781 657.4217  570.90985 208.89471 268.7568\n",
      " 444.38077 558.35406 363.27997 618.4119  267.68466 232.00429 229.40022\n",
      " 592.7787  209.8929  245.43106 613.69366 187.05685 602.19763 191.16335\n",
      " 268.62634 300.0725  583.8703  168.5125  622.5459  228.29988 466.92578\n",
      " 284.3078  219.66646 409.13986 573.88165 164.40758 168.67384 229.93268\n",
      " 202.85583 269.84433 267.1805  189.83813 223.69856 188.91124 197.34299\n",
      " 524.7499  301.28738 573.1721  324.81363 614.68384 232.21799 266.9507\n",
      " 273.45187 500.2346  226.9037  226.12291 230.80132 262.9132  228.30394\n",
      " 249.34447 173.06897 191.00548 556.614   210.8848  542.6884  584.494\n",
      " 500.51    641.52325 204.39296 247.7205  574.6948  215.29893 261.74338\n",
      " 218.72319 257.2046  554.96356 507.35468 461.043   477.79333 445.7779\n",
      " 507.0143  260.29657 205.34958 260.23764 527.80994 219.76671 228.12149\n",
      " 229.3081  199.07724 254.18152 395.7787  465.03482 240.70737 286.66434\n",
      " 170.61526 212.92148 442.89743 459.48907 270.66    198.1867  293.25528\n",
      " 260.49817 598.4154  557.2138  387.7409  285.5543  163.72726 221.35594\n",
      " 219.54192 502.03162 527.8908  195.23222 471.38043 211.64484 165.96083\n",
      " 187.61075 272.5289  267.33447 556.0861  283.32822 171.58975 519.376\n",
      " 213.88504 472.06628 303.81723 282.93228 623.1353  660.02466 505.053\n",
      " 606.67957 510.6494  595.232   459.79718 211.82928 252.46068 221.81071\n",
      " 295.5856  213.42235 193.98825 162.71892 566.3498  448.2881  192.67426\n",
      " 332.16943 417.0439  197.54929 511.03104 298.82755 597.50757 226.19003\n",
      " 526.2603  399.2076  212.84956 172.32993 566.47266 544.39764 226.85358\n",
      " 298.66293 190.01373 214.4926  309.99728 541.01996 277.4661  237.9274\n",
      " 182.6891  238.66704 459.53366 529.1442  440.21677 570.1161  541.5606\n",
      " 227.22876 165.24995 248.90982 221.25638 555.7034  167.73813 297.85214\n",
      " 222.007   199.3453  241.82014 185.54263 579.4316  573.9026  173.88783\n",
      " 247.81223 434.71103 260.35535 399.44684 296.15784 560.81683 228.69757\n",
      " 303.63092 184.19601 212.78369 408.91858 240.82588 285.09134 523.12616\n",
      " 570.30817 468.92944 173.81358 227.00534 582.86487 219.39787 592.96405\n",
      " 184.16711 569.4349  240.40973 363.771   232.7531  176.3173  198.6135\n",
      " 194.2987  227.58548 238.60683 277.58725 176.12656 233.50313 530.2618\n",
      " 557.3028  197.34712 274.2163  264.32608 209.11801 422.05368 214.86952\n",
      " 473.83112 175.37012 530.0203  222.27846 219.37129 265.83112 192.87265\n",
      " 198.23346 221.49602 526.2159  593.98834 210.75563 527.37854 522.97974\n",
      " 252.49799 283.0126  205.03674 524.45276 258.02908 308.6607  460.7487\n",
      " 186.55154 190.25917 428.3355  470.2842  158.95528 553.33105 217.61554\n",
      " 190.42038 304.9433  232.84926 531.597   264.09964 547.4567  236.4652\n",
      " 218.38426 172.18858 204.49205 482.43448 205.24669 219.38641 270.98956\n",
      " 208.29655 178.19492 599.2644  432.05844 284.11478 501.65085 590.90576\n",
      " 550.7034  555.6287  205.32782 408.92386 231.98729 180.85443 495.17484\n",
      " 270.20416 229.5189  172.65465 247.90176 210.41437 214.74257 220.36183\n",
      " 187.82233 499.02084 221.72855 519.03186 188.14047 596.1516  497.62\n",
      " 182.32927 552.53754 611.4267  230.15132 543.443   597.3924  184.20316\n",
      " 584.1429  259.32834 493.13513 191.70868 233.09593 194.2738  283.78436\n",
      " 563.7084  207.0829  207.8856  216.17488 460.8412  588.90704 534.83936\n",
      " 188.94646 224.87454 567.2898  490.7324  261.90323 275.15027 168.01704\n",
      " 605.891   461.8617  445.04688 267.65915 454.19272 188.33878 209.19043\n",
      " 436.17117 428.99225 206.26553 465.46832 295.23187 196.0955  440.60602\n",
      " 407.40536 251.58904 421.55637 518.0402  389.85852 272.82556 171.17033\n",
      " 191.5889  225.5461  546.79553 252.33096 620.0401  196.51627 541.6714\n",
      " 450.0405  232.69817 531.59424 643.73016 217.02136 501.3966  560.2037\n",
      " 276.2309  543.8125  430.41373 212.71474 578.18024 262.34744 508.28506\n",
      " 431.47165 198.96303 231.46132 192.50925 192.09148 485.5164  213.23012\n",
      " 555.9742  289.02008 195.50949 250.50615 257.96564 203.62456 178.20972\n",
      " 195.97166 186.04398 499.14374 192.96037 283.33408 402.82648 263.54248\n",
      " 198.08629 156.55649 185.3826  486.6568  525.4301  257.50638]\n",
      "signal\n",
      "[227.70499 260.53198 176.11717 499.155   576.0596  586.86676 302.51193\n",
      " 226.27951 659.2578  639.9212  272.15332 500.0684  533.3378  495.44836\n",
      " 216.89049 305.70898 559.19135 551.61615 581.84607 581.066   244.48451\n",
      " 570.1266  456.83664 245.34935 474.53134 494.52786 654.1918  350.64294\n",
      " 596.3499  319.38736 577.90546 462.4579  161.0581  279.09958 216.61522\n",
      " 433.05215 393.20673 296.4476  560.0951  417.7542  595.9531  310.03238\n",
      " 496.22504 420.4675  224.3153  231.75648 205.4121  196.58388 282.9529\n",
      " 403.12106 252.29095 293.86932 189.50287 278.56537 280.12128 577.28094\n",
      " 558.1951  575.1986  661.0982  613.42285 213.36526 438.09018 433.1649\n",
      " 614.4059  639.5488  455.72342 237.48305 334.2814  266.08542 297.77087\n",
      " 262.12595 409.09845 280.45462 590.2999  644.32245 424.6694  517.3776\n",
      " 193.27185 390.56894 587.3475  450.2118  649.7033  660.86566 397.98825\n",
      " 307.19104 433.4713  227.50414 281.3009  546.8649  597.22534 519.0183\n",
      " 267.9157  629.5375  210.4114  203.10083 246.47873 599.6692  304.87164\n",
      " 519.0831  306.51825 673.8273  597.5968  507.97186 239.1313  618.97546\n",
      " 308.59232 554.9052  325.46246 541.4277  612.9726  633.47595 561.09875\n",
      " 168.12067 297.12656 217.15265 466.95663 467.04562 665.3201  531.93256\n",
      " 606.0373  618.8252  615.23413 183.21394 298.36993 517.7835  332.1489\n",
      " 324.63956 580.82684 312.57202 324.54465 212.42746 315.27597 326.24634\n",
      " 213.43565 284.2086  561.5902  641.2667  307.49918 411.9928  650.9334\n",
      " 581.2628  377.8885  387.51553 430.82172 593.02765 243.98457 306.91528\n",
      " 453.67667 420.86386 604.85187 619.8074  607.852   457.4487  244.2934\n",
      " 181.12068 180.36102 321.95642 314.40805 580.6233  518.3496  398.7103\n",
      " 521.1833  640.80786 230.92186 622.56104 507.42358 328.20444 328.50583\n",
      " 229.59262 395.8591  549.79376 529.17303 255.07234 557.1203  269.32614\n",
      " 647.069   572.3102  464.17853 564.0316  272.3327  630.42773 492.9781\n",
      " 442.84634 232.8678  191.51234 647.67    205.4971  156.59592 447.64615\n",
      " 515.6499  456.35098 423.54092 462.92926 532.3481  435.1553  589.9177\n",
      " 169.37355 500.18045 562.0121  546.1315  303.5662  652.2648  600.1886\n",
      " 260.2429  585.8953  573.7237  189.55267 233.48492 499.56433 324.2323\n",
      " 403.0315  410.40854 457.0572  186.15916 292.5828  347.05396 177.40463\n",
      " 591.43616 571.63306 610.65247 249.08292 320.26892 542.03015 322.6474\n",
      " 603.4141  633.09393 463.96942 403.00754 470.6737  416.6007  173.34856\n",
      " 464.03613 460.01584 498.39716 198.69466 296.23584 227.18214 562.3617\n",
      " 647.714   650.66797 451.37827 597.99744 560.8128  611.23834 464.5477\n",
      " 258.26505 257.3556  173.3017  250.40997 621.11835 590.4967  559.4947\n",
      " 419.39227 397.5457  403.73627 573.6872  633.567   591.06366 520.3148\n",
      " 290.128   220.05124 567.39294 328.85553 167.6734  555.09265 311.88458\n",
      " 222.40106 277.1874  284.89465 414.4655  383.30585 457.86923 220.40941\n",
      " 313.58484 209.5423  496.93332 166.06287 194.17053 297.3166  517.0682\n",
      " 514.1423  591.8861  588.86566 279.70248 606.90704 590.84515 568.2917\n",
      " 218.23564 176.56995 353.793   572.3155  525.1989  366.03006 506.1031\n",
      " 549.084   283.03244 660.9912  199.86734 639.9542  410.15082 582.6132\n",
      " 451.27448 443.1167  481.6059  621.72614 668.28064 339.61304 242.08098\n",
      " 642.917   482.26086 310.2308  584.9673  431.207   483.2887  335.06046\n",
      " 406.1606  257.72186 325.76053 182.37097 393.026   273.71957 406.40942\n",
      " 470.93314 432.13892 305.16193 295.69012 581.2689  222.98196 550.6393\n",
      " 241.76218 237.32808 577.89294 477.0784  576.69727 400.86575 571.8897\n",
      " 198.18956 447.74738 637.7481  227.44919 527.15375 187.54144 564.3926\n",
      " 548.4517  458.807   200.15326 413.69785 574.6021  200.82268 313.12292\n",
      " 556.6337  649.05273 491.46945 556.5946  568.8612  438.13803 229.96675\n",
      " 547.37946 643.8329  473.37665 479.50116 231.56639 645.66724 534.95496\n",
      " 184.03506 472.87445 475.27502 656.846   478.92322 451.39032 277.55484\n",
      " 304.59164 596.2282  493.07098 355.44138 541.6534  534.70215 493.86395\n",
      " 586.1829  442.39035 189.27182 209.42154 263.03693 427.66376 579.5333\n",
      " 552.6404  544.6059  432.1816  586.3877  247.6136  633.87866 384.21194\n",
      " 554.5963  593.0601  268.53226 492.5525  291.14758 283.45978 256.81473\n",
      " 224.21371 305.81796 585.7884  404.36667 582.33496 197.43999 198.01295\n",
      " 492.20187 586.2947  325.01505 204.7075  562.23584 557.76575 621.96466\n",
      " 323.19345 306.47195 392.351   526.5237  263.2921  530.8343  171.69707\n",
      " 323.68314 432.08762 325.47006 177.21344]\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/nfs/dust/cms/user/lbenato/anaconda3/envs/run3/lib/python3.7/site-packages/root_numpy/_hist.py:76: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  ROOT.AsCObject(hist), array, weights, return_indices)\n",
      "/nfs/dust/cms/user/lbenato/anaconda3/envs/run3/lib/python3.7/site-packages/root_numpy/_hist.py:76: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  ROOT.AsCObject(hist), array, weights, return_indices)\n",
      "/nfs/dust/cms/user/lbenato/anaconda3/envs/run3/lib/python3.7/site-packages/root_numpy/_hist.py:76: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  ROOT.AsCObject(hist), array, weights, return_indices)\n",
      "/nfs/dust/cms/user/lbenato/anaconda3/envs/run3/lib/python3.7/site-packages/root_numpy/_hist.py:76: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  ROOT.AsCObject(hist), array, weights, return_indices)\n",
      "/nfs/dust/cms/user/lbenato/anaconda3/envs/run3/lib/python3.7/site-packages/root_numpy/_hist.py:76: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  ROOT.AsCObject(hist), array, weights, return_indices)\n",
      "/nfs/dust/cms/user/lbenato/anaconda3/envs/run3/lib/python3.7/site-packages/root_numpy/_hist.py:76: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  ROOT.AsCObject(hist), array, weights, return_indices)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "data\n",
      "[420.76202 569.30676 520.31726 485.48145 242.63063 493.9053  284.6112\n",
      " 246.61943 203.1551  461.8872  493.8762  246.16873 208.2666  271.1302\n",
      " 554.7457  597.40753 514.5865  508.37573 566.5382  501.13644 200.66574\n",
      " 412.86157 278.18582 592.2519  563.6936  271.97668 268.61508 480.35104\n",
      " 524.0581  438.42468 316.46362 633.08344 549.1429  272.51276 525.2383\n",
      " 267.64102 462.8913  491.78525 486.18542 232.03104 444.1672  263.9344\n",
      " 571.9261  253.00519 466.33713 234.89862 190.18193 460.25977 272.5585\n",
      " 590.9869  430.17624 425.26978 453.92276 483.93185 556.344   530.7479\n",
      " 263.72406 416.6031  528.3938  526.92773 359.7354  545.02734 408.89313\n",
      " 304.3303  486.33868 510.4297  622.69257 251.95111 513.60974 253.28973\n",
      " 224.50717 221.2608  589.4402  456.69373 510.94434 240.68088 290.04858\n",
      " 429.3238  424.03983 506.37473 416.45923 554.9372  601.8115  251.10321\n",
      " 245.86642 444.49316 212.24695 271.30344 425.63898 243.01643 238.61835\n",
      " 456.475   626.4994  413.0127  409.22424 239.16867 512.8557  593.0191\n",
      " 510.85168 469.80878 442.73505 432.66898 567.9787  484.42508 256.70447\n",
      " 480.0483  476.30444 404.5113  549.78937 490.84354 543.7869  479.08334\n",
      " 201.4434  542.32623 217.58624 411.54132 541.5474  451.81543 502.45874\n",
      " 424.48856 622.3659  464.07434 214.70782 220.82652 260.99728 275.80737\n",
      " 543.2151  243.30763 437.06818 508.9964  239.47937 577.129   216.24496\n",
      " 426.45142 580.03613 389.3038  409.03473 465.53122 534.31195 518.97076\n",
      " 484.34235 545.5557  591.3436  194.94641 497.16107 449.78885 479.17044\n",
      " 451.04697 535.9119  460.6426  494.4861  599.42145 470.16003 216.30267\n",
      " 512.12213 257.46756 459.52103 514.7784  483.3904  438.60367 233.47392\n",
      " 405.1246  477.8926  479.5802  430.97424 520.7602  536.5834  236.61179\n",
      " 428.33823 571.94507 570.64984 546.34344 583.73517 440.21875 464.21445\n",
      " 471.35922 238.15152 577.30145 558.0876  271.34485 257.57416 498.80817\n",
      " 450.5603  357.88147 439.07803 291.72412 404.4088  359.72772 466.45383\n",
      " 186.0181  459.35516 486.1257  520.8565  458.06204 453.50507 399.71356\n",
      " 465.9592  435.0169  559.22894 434.6021  479.32666 268.8915  447.47525\n",
      " 501.04617 268.35834 595.9704  480.5475  542.9689  465.5682  454.36423\n",
      " 472.50653 493.44064 428.5062  262.18866 251.67905 435.18973 524.9555\n",
      " 461.006   490.1087  545.6228  428.06625 212.9607  532.0099  440.23608\n",
      " 193.4246  435.3214  224.19055 540.6187  495.92267 566.80237 499.11807\n",
      " 435.9508  494.5119  503.99048 495.0774  269.96    488.96588 563.8682\n",
      " 181.83662 529.794   438.5165  258.99805 447.02435 462.2259  601.06665\n",
      " 458.22977 286.74792 233.53537 507.6823  228.58846 541.9935  446.9216\n",
      " 469.92096 217.57161 200.83443 492.51276 550.31976 443.72223 480.2047\n",
      " 467.43533 448.92712 254.92268 496.93872 194.7357  243.32831 517.26483\n",
      " 515.1256  517.1519  501.15942 242.44905 529.4931  513.8434  525.40967\n",
      " 500.1972  484.97296 474.81335 532.8909  506.76965 504.65186 520.484\n",
      " 552.0032  632.8316  292.18372 272.77686 395.2842  459.0044  471.0341\n",
      " 266.79175 271.62936 242.87903 236.89694 560.04236 399.43643 211.39932\n",
      " 481.27185 441.61295 214.35942 635.55273 272.29092 581.22577 461.80545\n",
      " 172.11186 525.55963 431.86737 502.64474 446.1542  492.163   507.58478\n",
      " 536.1555  256.51807 226.52429 440.08762 460.99057 423.92203 416.8552\n",
      " 274.30905 587.9383  527.03955 453.86426 596.12787 406.38403 508.97195\n",
      " 527.83307 500.2312  241.21143 567.396   465.45648 274.43158 546.5337\n",
      " 567.5894  222.15572 526.5331  617.5835  211.93744 214.59889 523.7691\n",
      " 194.87881 264.96948 606.8727  522.52924 493.68933 519.63324 595.82385\n",
      " 268.4619  602.63153 485.87067 472.11868 609.25916 411.95163 436.46957\n",
      " 542.58466 507.2416  616.5301  519.8915  230.63289 448.31448 596.19006\n",
      " 495.02423 472.44153 541.14624 518.67487 594.26324 437.54318 547.5006\n",
      " 263.9532  572.4492  543.6807  542.89465 495.6421  222.11247 231.80412\n",
      " 525.689   627.3208  225.13335 513.25183 455.55197 591.82196 375.5305\n",
      " 232.4765  443.12595 503.6296  227.81909 435.3835  555.5985  414.99103\n",
      " 454.37592 434.06918 528.5513  283.22726 247.59903 545.7386  539.82324\n",
      " 507.84134 494.48892 535.6683  425.52563 629.3447  515.527   545.81213\n",
      " 567.68115 510.18835 255.1479  419.69257 459.92755 273.7277  260.0273\n",
      " 423.57944 208.9996  504.8763  556.9675  284.4992  548.3617  490.31042\n",
      " 504.5982  499.457   602.6475  487.80295 466.58746 534.2368  485.66144\n",
      " 257.46518 187.8127  424.43723 228.9285  432.94427 527.70886 266.4529\n",
      " 468.73026 431.1927  496.5173  239.49576 237.34663 430.4713  522.7715\n",
      " 288.9309  263.19925 481.33792 450.58173 535.5849  500.85092 237.34645\n",
      " 273.2571  540.20306 490.8223  465.94308 384.1147  560.55396 559.5665\n",
      " 475.45953 536.4994  561.7326  531.0714  443.56244 234.15308 219.20605\n",
      " 513.8478  462.4526  540.4283  532.34076 431.7929  523.2236  565.3252\n",
      " 220.70058 434.74472 462.44843 533.5628  449.96402 406.61008 450.60315\n",
      " 398.47815 556.6652  419.70676 405.4381  417.68085 423.47055 175.00069\n",
      " 189.39253 261.33542 453.6338  285.15692 399.8379  520.956   496.30096\n",
      " 264.51678 450.33023 590.0407  510.76    263.31204 456.53796 497.4219\n",
      " 550.9547  419.7745  430.27573 540.31445 526.5964  431.72092 533.761\n",
      " 379.81757 448.71167 620.1011  414.28073 610.7453  529.88385 287.10504\n",
      " 463.68094 541.06714 255.08473 392.48697 519.79407 237.08167 401.97437\n",
      " 436.4786  187.7991  485.26184 462.70508 406.79028 401.9547  515.0366\n",
      " 514.77014 209.14862 495.2042  598.10223 577.441   432.74786 569.23474\n",
      " 235.3197  421.70352 450.61044 528.0406  435.86307 273.9608  457.0566\n",
      " 271.02432 453.40723 207.2178  224.93927 415.17847 241.81804 526.15497\n",
      " 462.16968 544.3511  271.56955 486.6439  275.64767 465.8788  431.29758\n",
      " 497.73752 442.03592 545.79626 527.45184 257.1941  476.47647 438.78787\n",
      " 426.1747  414.35922 547.7664  271.64362 196.8881  218.00334 187.04428\n",
      " 485.25983 482.2301  512.159   595.6503  621.2661  473.07272 244.83656\n",
      " 520.2479  427.3746  446.40857 613.1931  542.17126 204.6539  453.96152\n",
      " 485.48013 572.0266  245.32721 221.96393 485.2628  586.03265 453.5439\n",
      " 555.61194 561.7564  234.0368  242.80196 290.42596 415.36646 411.24466\n",
      " 437.66846 271.64948 506.77112 617.851   499.5095  466.3835  424.4266\n",
      " 559.72797 244.10452 421.57635 432.40564 247.83446 562.14014 473.96988\n",
      " 245.52576 602.7518  586.05743 577.8995  480.15137 490.07303 435.99792\n",
      " 511.32294 403.662   456.80115 460.19467 525.95123 272.1613  510.13177\n",
      " 203.43948 603.8732  517.1422  543.5615  465.21048 586.0473  496.29245\n",
      " 344.4048  431.53604 450.50232 573.9171  426.9954  505.95544 187.22612\n",
      " 407.97372 414.1578  527.4353  422.97763 592.4734  457.1239  397.19748\n",
      " 475.59482 558.9817  557.0903  603.54114 590.9992  235.97649 267.52173\n",
      " 408.242   474.36478 495.26437 412.38663 552.538   515.3719  566.27545\n",
      " 420.83502 451.90695 562.4234  412.2253  598.50977 517.30255 607.7232\n",
      " 431.55032 550.9795  496.83804 578.9776  263.51718 186.49937 431.9847\n",
      " 280.4929  265.16983 452.4301  436.34302 269.73697 481.17004 593.1567\n",
      " 474.5571  387.2521  511.43347 490.03793 458.09598 256.73016 521.9004\n",
      " 455.57712 618.2976  495.68274 284.39566 457.02823 558.0854  211.05943\n",
      " 428.37308 480.06808 233.71301 429.79498 383.05066 511.13797 613.4457\n",
      " 281.56866 458.4961  512.9007  572.09454 557.00806 533.643   267.2305\n",
      " 284.77597 522.401   555.6691  189.63713 479.92377 509.01236 213.9545\n",
      " 178.54222 417.5103  607.3976  492.5263  441.3783  408.84644 480.3929\n",
      " 446.58145 372.72995 503.07367 267.4767  575.6832  521.05255 442.58798\n",
      " 469.527   471.20648 236.24986 549.82916 452.1006  554.7551  212.48277\n",
      " 514.994   403.63184 441.4109  254.77472 247.67943 456.53177 483.80978\n",
      " 469.2387  556.354   536.5675  605.10803 207.50719 457.73697 460.6742\n",
      " 238.73885 593.73016 483.56097 414.85577 402.48746 482.66995 568.88354\n",
      " 437.54202 230.4593  434.69528 578.6586  581.81287 444.63202 265.32535\n",
      " 427.9405  460.9516  482.59808 270.13226 487.69473 544.8488  497.6042\n",
      " 556.5698  284.864   530.96893 511.19614 505.31854 403.79575 230.08919\n",
      " 495.7     587.60724 604.3488  498.26355 266.3506  483.7486  454.14368\n",
      " 475.08704 484.12592 227.6932  562.89667 604.9983  515.01917 548.53546\n",
      " 237.84964 403.9513  452.2637  289.3244  447.53137 417.54578 525.0733\n",
      " 435.61978 475.36252 595.3478  455.48526 466.147   457.6095  420.18704\n",
      " 240.96269 517.9032  459.2659  220.43382 493.96817 487.4372  231.07532\n",
      " 302.40332 469.0201  535.5906  262.46762 469.85516 204.97237 551.36633\n",
      " 529.84216 277.59576 417.39496 255.78192 261.4058  449.97003 437.70703\n",
      " 478.5328  464.5498  521.4432  551.2689  552.2584  190.13394 282.77505\n",
      " 522.8442  520.464   265.21924 242.72527 273.11456 520.20404 472.2837\n",
      " 465.54852 542.5704  206.38475 409.54175 554.0729  411.2694  500.87146\n",
      " 492.32135 487.34613 366.02737 513.09454 427.17465 273.60367 297.6324\n",
      " 502.5055  390.40567 218.14139 280.18835 556.9511  503.7485  548.7594\n",
      " 405.31552 503.12073 478.2298  461.39688 420.6215  214.0881  498.6679\n",
      " 410.68536 394.8352  562.1748  203.58058 236.72354 420.8029 ]\n",
      "signal\n",
      "[392.42493 256.1583  604.1855  323.67233 216.03268 241.99449 626.5646\n",
      " 423.3723  425.27417 554.2511  555.37366 619.43335 227.41513 600.2162\n",
      " 459.45514 512.80084 527.80365 502.01413 483.7911  483.08224 544.50726\n",
      " 288.38824 241.71301 472.73383 225.74648 589.77014 573.7685  250.3948\n",
      " 656.2463  569.8963  578.6744  660.1859  480.91495 611.3197  215.78781\n",
      " 578.9735  193.94246 531.64136 401.69107 458.20026 599.6446  181.81999\n",
      " 646.47327 251.59827 239.57008 444.68344 191.68764 419.5525  200.398\n",
      " 189.64294 219.46725 207.90056 459.34866 390.76733 241.52515 268.12564\n",
      " 228.28217 605.4656  234.70041 530.67444 634.3105  559.99133 613.6955\n",
      " 592.9169  568.24225 425.59427 534.2661  281.33572 415.47375 616.39874\n",
      " 481.70758 297.1286  595.2932  545.267   437.60483 610.4396  574.83405\n",
      " 286.65085 565.01733 611.84393 574.92554 399.45477 595.89984 423.85028\n",
      " 316.59113 198.95714 610.99225 250.44841 633.9407  532.2155  594.072\n",
      " 398.56235 311.6224  311.8581  436.7033  552.63184 175.35226 517.53656\n",
      " 385.40164 420.5972  401.5547  295.98074 587.1438  281.02408 615.184\n",
      " 202.04141 223.51155 581.61163 207.42479 513.2357  623.9708  245.81387\n",
      " 625.16064 532.2361  516.14746 302.4879  210.72324 530.83563 275.3632\n",
      " 542.39453 273.87805 594.0331  439.4535  473.61307 450.60037 529.7031\n",
      " 227.1335  461.59973 267.57175 612.7113  382.97617 254.79662 456.71954\n",
      " 426.49536 425.66946 486.8703  524.3223  571.9984  566.38696 419.78525\n",
      " 534.9389  202.2647  273.05536 199.12097 547.1567  614.76373 580.3901\n",
      " 242.7888  473.98026 189.56145 485.2026  371.9117  199.7823  500.0363\n",
      " 261.9864  465.74353 421.93094 427.74246 467.66336 548.1729  516.7615\n",
      " 629.9435  477.06317 268.2895  512.59357 184.19159 293.14987 396.13608\n",
      " 231.46683 563.67584 577.6688  256.92215 221.20312 569.38165 567.94836\n",
      " 548.2322  251.49165 630.3703  257.55634 560.854   297.2763  220.46457\n",
      " 198.27164 390.94217 233.2567  427.45264 219.29414 565.9895  262.90802\n",
      " 472.7274  425.22803 456.64337 295.34503 186.89665 252.39687 636.4721\n",
      " 297.56952 254.67809 644.5973  441.35733 191.72269 428.83325 431.35876\n",
      " 604.88477 429.75317 543.36    204.44466 274.7794  436.63312 601.75366\n",
      " 624.6025  518.584   436.69778 616.25714 198.65665 507.1856  269.41092\n",
      " 240.33852 467.5952  463.0079  474.33508 208.36232 485.91217 203.53317\n",
      " 433.77414 474.1363  236.84746 497.94003 207.84044 641.58417 379.13156\n",
      " 556.37427 422.69797 581.6607  430.25333 420.0146  626.48956 433.5702\n",
      " 280.92615 491.1848  592.271   247.42303 535.1182  212.55127 217.35081\n",
      " 550.0311  596.804   513.51514 250.60141 646.26154 489.70612 515.6112\n",
      " 602.98    306.09125 461.8154  205.36896 343.3187  421.04614 255.79485\n",
      " 217.76048 473.07886 490.56277 207.21114 202.09528 279.36578 603.821\n",
      " 621.0983  223.29884 495.07156 201.00623 203.99037 250.08087 271.13333\n",
      " 411.059   464.33673 222.01292 560.84717 521.72107 227.50464 273.4732\n",
      " 253.52911 413.9449  618.7518  567.00964 582.9114  569.6071  604.0723\n",
      " 245.02007 289.3124  415.3574  584.95856 538.93445 496.61487 533.93475\n",
      " 519.75006 410.62796 605.61    275.57138 198.09314 417.39835 570.0924\n",
      " 456.97403 615.4911  182.36578 240.11203 552.5189  399.27094 228.82512\n",
      " 441.44458 562.5673  494.66776 222.791   302.1086  554.18744 555.1239\n",
      " 502.53818 444.48425 627.80676 565.9379  449.46826 267.01236 457.85663\n",
      " 258.174   533.1342  244.36095 503.56558 367.12802 261.2673  566.2066\n",
      " 266.9861  227.51512 448.62436 291.51996 600.5244  222.71317 333.0563\n",
      " 280.36774 561.43964 290.53482 490.19604 604.7782  563.06415 207.98161\n",
      " 173.60085 406.17    627.3206  567.8837  436.91052 539.02936 532.7004\n",
      " 415.68436 537.9937  178.53471 281.47348 500.46957 471.42383 442.4197\n",
      " 594.42896 583.53516 557.0998  229.86026 259.93454 557.1899  572.4027\n",
      " 606.6624  239.33333 184.4168  429.83527 417.4612  397.35254 619.6527\n",
      " 596.7146  434.7045  267.53357 579.4536  240.92238 424.92346 550.30853\n",
      " 309.81613 267.1011  216.72137 425.38678 533.0717  246.35245 306.58255\n",
      " 204.40292 565.9621  242.34662 281.32327 644.59094 595.9209  609.17474\n",
      " 421.22662 567.6383  217.00829 456.93134 179.74403 223.01364 296.35138\n",
      " 595.6703  559.8685  276.57547 543.4695  535.01    584.02295 523.352\n",
      " 447.86517 242.2241  278.23312 630.7478  420.37674 498.7541  474.69528\n",
      " 452.31406 231.74672 605.06433 203.77313 388.57068 456.4283  229.4924\n",
      " 266.8115  576.5673  639.44037 227.43224]\n",
      "data\n",
      "[8.44619632e-01 1.07172787e+00 6.35258555e-01 7.20489740e-01\n",
      " 6.31198764e-01 7.41539478e-01 1.75771832e-01 1.31573677e-02\n",
      " 8.50744605e-01 8.59584689e-01 4.46047783e-02 1.02262497e-01\n",
      " 1.51413441e-01 3.52571130e-01 1.24923837e+00 4.76107717e-01\n",
      " 1.42156124e-01 1.64533257e-01 3.05061340e-01 1.04917526e-01\n",
      " 7.80113101e-01 7.66167760e-01 4.84292150e-01 9.60085988e-01\n",
      " 1.52312517e-01 3.46369982e-01 5.66508055e-01 9.55646396e-01\n",
      " 9.43406940e-01 8.85206461e-02 3.31386089e-01 8.28791618e-01\n",
      " 9.22204018e-01 5.06959081e-01 1.08663559e-01 5.77542305e-01\n",
      " 9.60944414e-01 6.58181906e-02 8.46634984e-01 8.33594203e-01\n",
      " 3.46632719e-01 4.63243842e-01 2.47210383e-01 1.20732307e-01\n",
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      " 8.97195935e-01 6.63783550e-01 3.54052067e-01 7.00774789e-01\n",
      " 1.81907415e-02 9.93082762e-01 2.34742165e-01 3.60829115e-01\n",
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      " 7.42946267e-01 7.24202991e-01 4.44751143e-01]\n",
      "signal\n",
      "[6.77020669e-01 1.39436603e-01 1.05085480e+00 6.05396390e-01\n",
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      " 1.43151703e+01 1.20920420e+01 1.05043244e+00 2.88482533e+01\n",
      " 1.56365576e+01 6.46620178e+00 4.38837337e+00 2.67705650e+01\n",
      " 1.71276939e+00 2.59140072e+01 4.58823729e+00 2.40652828e+01\n",
      " 3.71101713e+00 4.94175053e+00 6.90927124e+00 6.36391449e+00\n",
      " 2.58635445e+01 5.71587086e-01 1.19949474e+01 4.38712931e+00\n",
      " 1.92567482e+01 3.14922905e+01 2.73831711e+01 2.26001525e+00\n",
      " 5.15945959e+00 4.25743980e+01 1.72361050e+01 7.01321602e+00\n",
      " 3.60415602e+00 3.10306525e+00 1.40385532e+00 9.49136257e+00\n",
      " 1.84518814e+01 9.50869942e+00 1.82665138e+01 4.28938913e+00\n",
      " 9.06539440e+00 1.02032232e+00 3.22154694e+01 1.42494545e+01\n",
      " 7.13540077e+00 3.93004632e+00 2.36005163e+00 1.33817577e+00\n",
      " 3.14322996e+00 1.48570843e+01 6.45779753e+00 2.38152523e+01\n",
      " 4.72859859e-01 8.29475307e+00 1.76462269e+00 5.45341444e+00\n",
      " 5.40403557e+00 2.62642059e+01 3.23517084e+00 3.10600414e+01\n",
      " 2.15427637e-01 8.09247398e+00 1.75752239e+01 7.81315923e-01\n",
      " 1.42497845e+01 7.49090147e+00 4.36434555e+00 4.16812754e+00\n",
      " 3.86071062e+00 5.04700565e+00 2.61248341e+01 8.46436501e+00\n",
      " 2.62656593e+00 4.51199150e+00 2.09648323e+00 2.78415871e+01\n",
      " 1.86575832e+01 4.69045401e+00 7.81545520e-01 4.72676182e+00\n",
      " 8.41510117e-01 2.71352196e+00 7.17429161e+00 2.56765442e+01\n",
      " 8.28949738e+00 8.76688004e-01 6.70653105e+00 7.38970852e+00\n",
      " 3.16021323e+00 1.42915382e+01 3.50407386e+00 8.09165001e+00\n",
      " 2.35559177e+00 5.25782871e+00 2.44151139e+00 1.83264637e+01\n",
      " 2.06997299e+00 6.84085131e+00 4.08731699e+00 6.22782564e+00\n",
      " 7.07909679e+00 2.09749336e+01 5.93403816e+00]\n",
      "signal\n",
      "[5.4302561e-01 3.0426791e-01 3.2985635e+00 2.0331471e+00 3.6490884e-01\n",
      " 1.8348665e+00 3.9115620e+00 2.0530367e+00 6.7596269e+00 1.2418431e+00\n",
      " 1.6954468e+00 2.1402178e+00 5.5060398e-02 1.5085945e+00 2.0495932e+00\n",
      " 3.6238015e-01 1.0985708e+00 1.1151582e+00 7.8954488e-01 6.6480458e-01\n",
      " 9.5534444e-01 3.7596889e+00 1.4277780e+00 8.3432883e-01 3.3740296e+00\n",
      " 1.4353409e+00 2.4670002e+00 2.9269042e+00 8.5368514e-02 2.2883234e+00\n",
      " 1.6308224e-01 1.1570289e+00 2.5088654e+00 2.8313181e+00 4.4270509e-01\n",
      " 1.4198589e-01 3.1010181e-01 7.6148230e-01 4.7212958e-01 4.5444930e-01\n",
      " 2.1345675e+00 2.1574233e+00 1.4183410e+00 1.5062150e-01 1.2868690e+00\n",
      " 1.6780362e+00 1.2300162e+00 2.3006830e+00 1.6198545e+00 5.5758876e-01\n",
      " 6.2850660e-01 2.2721896e-01 3.3264897e+00 3.4215415e-01 2.9576778e-02\n",
      " 2.8217332e+00 1.3070004e+00 1.6193073e+00 4.8247719e-01 1.3567923e+00\n",
      " 1.6684809e+00 1.6798110e+00 2.0832202e+00 1.1857930e-01 1.0556335e+00\n",
      " 2.7426245e+00 1.6551614e+00 1.1772467e+00 7.4101752e-01 5.6762248e-02\n",
      " 1.8019736e-02 1.1802561e+00 1.3540109e+00 1.9867312e+00 2.7660384e+00\n",
      " 7.9377294e-01 1.1833242e+00 2.3999872e+00 5.5138409e-01 1.0234548e+00\n",
      " 1.6266680e+00 2.2507968e+00 1.6454321e+00 2.0108900e+00 1.3921349e+00\n",
      " 2.6566300e+00 2.0320311e+00 2.2877021e+00 1.6321111e-01 1.0489509e+00\n",
      " 1.1870410e+00 1.2201484e+00 2.9145861e+00 3.6034536e-01 3.0763233e-01\n",
      " 2.5468969e+00 1.0815023e+00 1.7408004e+00 6.1160910e-01 5.6004782e+00\n",
      " 1.9480979e+00 8.1706524e-02 6.1742461e-01 1.2025220e+00 3.4966340e+00\n",
      " 1.2661991e+00 2.6461101e-01 7.7593511e-01 1.2482809e+00 2.0584464e-01\n",
      " 2.9221177e+00 4.9221573e+00 5.0985533e-01 1.0844700e+00 1.7860578e+00\n",
      " 9.9635446e-01 1.1242826e+00 5.7974851e-01 6.5416551e-01 1.3507637e+00\n",
      " 1.9809341e+00 4.7225046e-01 4.5585380e+00 2.2974679e+00 1.7347693e+00\n",
      " 1.1334555e+00 2.2424176e+00 1.1816597e+00 2.2562363e+00 2.6253700e-02\n",
      " 1.5371466e+00 8.9046699e-01 1.9642913e+00 1.3610084e+00 7.3280668e-01\n",
      " 3.0414648e+00 4.2603073e-01 1.3858196e+00 3.6289697e+00 8.5477662e-01\n",
      " 4.5591432e-01 1.2805810e+00 1.5409207e+00 8.6426610e-01 1.0211964e+00\n",
      " 2.5577574e+00 7.3617387e-01 3.3185554e-01 2.0990822e+00 4.8854220e-01\n",
      " 7.8627187e-01 3.9258971e+00 1.8969578e+00 2.2025747e+00 1.5823474e+00\n",
      " 2.9396544e+00 1.6047021e+00 1.2670517e-02 3.7838745e-01 4.0342188e-01\n",
      " 8.7052667e-01 1.1441445e+00 1.8288692e+00 4.8301923e-01 8.4176838e-01\n",
      " 1.0600768e+00 3.7433262e+00 2.8926017e+00 7.5422436e-02 7.0132452e-01\n",
      " 1.8065915e+00 8.4503359e-01 8.3116955e-01 2.1544135e+00 7.6717454e-01\n",
      " 2.2509584e+00 2.2210970e+00 1.2497158e+00 1.1376891e+00 7.5180471e-01\n",
      " 8.5766017e-01 2.1056816e-01 1.6287148e-01 1.7845315e+00 2.9676955e+00\n",
      " 2.1491203e+00 2.2180231e+00 1.0783399e+00 1.1383106e-01 1.6640887e+00\n",
      " 6.1103940e-02 4.0713267e+00 1.9410717e+00 4.2870164e-01 6.3237000e-01\n",
      " 6.0263228e+00 1.7921351e+00 1.3536055e+00 5.2131062e+00 1.0232586e+00\n",
      " 6.2712991e-01 4.4244939e-01 3.2140214e+00 2.1114755e-01 1.3525873e+00\n",
      " 2.4350419e+00 1.8288856e+00 1.7023453e+00 1.0731825e+00 3.1681380e+00\n",
      " 1.3816007e+00 2.8683276e+00 1.3390428e-01 1.8770761e+00 2.4411249e+00\n",
      " 7.1750015e-01 2.2519956e+00 4.5493841e-02 4.3305147e-01 1.4859742e+00\n",
      " 1.2710063e+00 2.1676581e+00 1.5232165e+00 3.9198536e-01 3.2150286e-01\n",
      " 1.2328038e+00 2.4218793e+00 3.0839639e+00 3.5806489e-01 2.5180414e-02\n",
      " 2.1000211e+00 6.0031080e+00 1.7032657e+00 1.4792705e-01 9.3985271e-01\n",
      " 6.9748551e-01 1.3050470e+00 8.7581575e-01 3.4103646e+00 1.6737194e+00\n",
      " 6.4591110e-01 6.9416732e-01 2.7583489e+00 3.5005683e-01 1.0566809e+00\n",
      " 1.0318680e+00 2.5925536e+00 2.4254248e+00 1.2026258e+00 3.9442801e-01\n",
      " 3.0131798e+00 4.1103822e-01 1.6057156e+00 4.3249345e-01 7.6193821e-01\n",
      " 3.3777684e-01 3.4172227e+00 1.6723202e+00 3.7538138e-01 7.9596448e-01\n",
      " 2.7682471e+00 3.8005096e-01 2.8392296e+00 2.2901578e+00 6.4510016e+00\n",
      " 1.5719428e+00 1.5776807e+00 1.4190135e+00 1.5489016e+00 2.6728728e+00\n",
      " 1.1207995e+00 4.0634334e-01 7.5944804e-02 8.3956957e-01 1.7360142e+00\n",
      " 1.8339298e+00 1.0195072e+00 3.7383556e-02 1.5032276e+00 1.1050618e+00\n",
      " 4.9491337e-01 4.9691854e+00 4.5958028e+00 2.5809298e+00 7.0811605e-01\n",
      " 3.7293196e-01 5.3964579e-01 3.3860497e+00 9.9071860e-01 1.2231525e+00\n",
      " 1.5530238e+00 1.5860784e+00 9.5448971e-01 4.9689412e-01 8.5925186e-01\n",
      " 2.1349885e-01 3.1851578e+00 1.1065767e-01 5.4367876e-01 5.7960868e-01\n",
      " 5.6081104e-01 1.0699272e-01 9.6267074e-01 3.3504120e-01 2.8555446e+00\n",
      " 8.0586660e-01 1.0220803e+00 2.0711440e-01 2.1192226e+00 1.4099855e+00\n",
      " 1.4177086e+00 1.2867987e+00 1.0740852e-01 2.4532638e+00 6.2204802e-01\n",
      " 1.0122178e+00 1.5104630e+00 1.2675138e+00 1.8298353e+00 3.2229722e-02\n",
      " 1.0523369e+00 6.1819601e-01 6.0163099e-01 2.4809220e+00 2.2096581e+00\n",
      " 9.4774169e-01 1.1395169e+00 2.0173712e+00 3.6982429e-01 6.3878047e-01\n",
      " 1.6770363e-03 2.0282655e+00 1.9212387e+00 2.6960623e+00 1.0175130e+00\n",
      " 5.8795166e-01 7.4253666e-01 1.3423412e+00 2.9830332e+00 1.4287269e+00\n",
      " 2.2172663e+00 1.7441031e-01 6.2835038e-01 1.1385307e+00 6.9563800e-01\n",
      " 5.9100586e-01 1.4766648e+00 1.2912196e-01 2.3612595e+00 8.5408366e-01\n",
      " 2.9181254e-01 1.1967745e+00 2.9418626e+00 8.0641121e-01 2.2253633e-02\n",
      " 1.8004340e+00 1.1529807e+00 9.8170853e-01 7.8049582e-01 1.0113800e+00\n",
      " 1.0080183e+00 1.3426268e-01 6.0017748e+00 2.9090662e+00 3.8579850e+00\n",
      " 5.7817781e-01 2.8438945e+00 3.5554152e+00 8.9677769e-01 2.3968401e+00\n",
      " 3.5875610e-01 6.8889856e-01 3.8903694e+00 2.7662225e+00 9.5646030e-01\n",
      " 5.2499838e+00 8.3616085e+00 2.0355983e+00 2.0030951e+00 6.6951132e-01\n",
      " 6.7093301e-01 3.4181899e-01 2.4732046e+00 1.1142348e+00 2.2657826e+00\n",
      " 2.2589874e-01 1.6803607e-01 2.5615916e+00 6.1751878e-01 2.1886346e-01\n",
      " 9.9584603e-01 1.0338380e+00 1.7692399e+00 1.8273920e-02 2.9295182e+00\n",
      " 1.2785560e+00 1.3847835e+00 1.6260000e+00 3.3690856e+00 4.7889793e-01\n",
      " 1.8305629e-01 1.3428130e+00 4.5768213e+00 1.2647251e+00 1.6560279e+00\n",
      " 2.8142264e-01 4.2001839e+00 8.4276927e-01 1.6994987e+00 7.5292730e-01\n",
      " 2.5159967e-01 2.0016117e+00 1.7851356e+00 4.2891333e-01 9.2856872e-01\n",
      " 3.2867837e+00 1.6752419e+00 3.3689421e-01 6.9145274e-01 2.8306329e-01\n",
      " 4.0465575e-01 2.0970612e+00 5.7811308e-01 1.1583343e+00]\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/nfs/dust/cms/user/lbenato/anaconda3/envs/run3/lib/python3.7/site-packages/root_numpy/_hist.py:76: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  ROOT.AsCObject(hist), array, weights, return_indices)\n",
      "/nfs/dust/cms/user/lbenato/anaconda3/envs/run3/lib/python3.7/site-packages/root_numpy/_hist.py:76: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  ROOT.AsCObject(hist), array, weights, return_indices)\n",
      "/nfs/dust/cms/user/lbenato/anaconda3/envs/run3/lib/python3.7/site-packages/root_numpy/_hist.py:76: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  ROOT.AsCObject(hist), array, weights, return_indices)\n",
      "/nfs/dust/cms/user/lbenato/anaconda3/envs/run3/lib/python3.7/site-packages/root_numpy/_hist.py:76: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  ROOT.AsCObject(hist), array, weights, return_indices)\n",
      "/nfs/dust/cms/user/lbenato/anaconda3/envs/run3/lib/python3.7/site-packages/root_numpy/_hist.py:76: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  ROOT.AsCObject(hist), array, weights, return_indices)\n",
      "/nfs/dust/cms/user/lbenato/anaconda3/envs/run3/lib/python3.7/site-packages/root_numpy/_hist.py:76: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  ROOT.AsCObject(hist), array, weights, return_indices)\n",
      "/nfs/dust/cms/user/lbenato/anaconda3/envs/run3/lib/python3.7/site-packages/root_numpy/_hist.py:76: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  ROOT.AsCObject(hist), array, weights, return_indices)\n",
      "/nfs/dust/cms/user/lbenato/anaconda3/envs/run3/lib/python3.7/site-packages/root_numpy/_hist.py:76: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  ROOT.AsCObject(hist), array, weights, return_indices)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "data\n",
      "[1.6192875 2.243729  2.1721005 2.2341266 1.5629131 1.8069304 2.31035\n",
      " 1.2723004 1.590433  2.1766908 1.8405744 1.2064583 1.7091662 1.5962805\n",
      " 2.029949  1.421103  2.4465346 2.1746202 1.6868677 1.8242955 1.7511607\n",
      " 1.7549355 1.2948446 2.45526   1.5888848 1.4963735 1.3818805 1.6924344\n",
      " 2.2387142 1.439435  1.7003621 2.4489908 2.1742842 1.4845496 1.604358\n",
      " 1.4937824 1.708692  1.9848586 1.8865337 1.4894385 1.4811096 2.4775336\n",
      " 1.5034426 1.4748546 1.9218943 1.5850859 2.4909601 2.4361846 2.456838\n",
      " 2.350473  1.6860248 1.8107288 1.7342286 2.0813973 1.9709369 1.6312824\n",
      " 2.066027  1.4760914 1.2584379 1.4883662 1.5938206 1.6468515 1.5402417\n",
      " 1.9234673 1.6345984 2.0433934 1.5978283 2.3903847 1.3896438 1.7174491\n",
      " 1.2585531 1.8078703 2.256658  1.9341156 2.5128195 1.4132669 1.7253592\n",
      " 1.9080027 1.7885817 1.4384313 2.2041938 2.4883547 1.3593669 1.5311506\n",
      " 1.3316766 1.7687829 1.3177592 1.2275946 1.7557731 1.3606317 2.46466\n",
      " 1.5102258 1.3971334 2.4241102 1.477513  1.3777484 1.6493418 2.015367\n",
      " 2.0634847 2.460468  2.3005848 2.3867905 1.3113053 1.8198634 2.2355058\n",
      " 1.6026633 2.0876324 2.3082032 2.0070133 1.2285681 2.4503095 1.3972896\n",
      " 1.4899634 1.2313014 1.9503428 2.1304073 1.4091823 1.8905872 2.3254929\n",
      " 1.4426142 1.4236819 2.145194  2.4831204 1.696975  1.593295  1.6356906\n",
      " 1.7546245 1.75112   2.5396562 1.6530114 1.4114143 2.4469728 1.7223911\n",
      " 1.5001416 2.2167697 1.5342278 2.0839393 1.7485197 2.1822565 2.3560872\n",
      " 1.8551477 2.2783842 1.5708203 1.5279869 1.9530275 1.9203649 2.3412507\n",
      " 1.8198029 1.5554876 1.869618  1.4032218 2.461985  1.2214124 1.5482593\n",
      " 1.6857412 2.3009567 1.5498428 1.7415113 2.1471243 2.2591536 2.207887\n",
      " 1.8897877 1.8644216 1.9206717 1.9752516 1.5388774 2.3267772 1.4998168\n",
      " 2.3097098 2.0599906 2.3617644 1.6500349 2.3713245 2.3754034 1.6692429\n",
      " 2.428677  1.4733043 1.7058798 2.635497  2.0346613 2.576866  2.5290537\n",
      " 1.6025761 1.5392704 1.6619141 2.3319736 1.5671245 1.8541505 2.257922\n",
      " 1.4651854 2.4581516 2.5059242 2.245435  1.3645347 2.4165602 2.2492924\n",
      " 1.6791109 1.815238  2.3189223 2.319922  2.0766795 2.4301164 1.9054415\n",
      " 1.5993084 1.5957389 1.7760789 2.1520126 1.2450697 1.6002209 1.562172\n",
      " 2.4867816 1.9120942 2.3214207 2.086065  1.9814887 1.80826   2.43912\n",
      " 1.312488  1.3861638 1.8206193 1.8074714 1.7765191 1.4784873 1.7756348\n",
      " 2.5095108 1.8194103 1.3928732 1.638019  1.4752332 1.7859718 1.3221267\n",
      " 2.1698654 1.9183711 1.2261428 1.4901292 1.6836531 2.016519  1.6594795\n",
      " 1.7141503 2.0358632 2.295549  1.516648  2.0511937 1.9987938 1.9438783\n",
      " 1.5460947 1.4257401 1.7390125 1.5908269 1.7681417 2.101536  1.260001\n",
      " 1.2284143 1.2978071 1.8148763 1.7582482 1.9631588 1.65097   1.4912896\n",
      " 2.4975934 1.568873  2.6420448 1.3311542 1.5883875 1.4536076 1.4715471\n",
      " 2.0245883 2.5041125 1.5641334 1.4752964 1.9978687 2.1818259 1.3590211\n",
      " 2.1391206 1.8179076 1.6188707 1.8262538 2.2923312 1.4717695 2.5564854\n",
      " 2.167558  2.2557127 1.2520096 2.25921   1.7568014 1.7608657 1.4580575\n",
      " 1.3550111 1.7600627 2.3427873 2.0462034 2.6124063 1.8261236 2.4241292\n",
      " 1.8841206 1.9035429 1.8802601 1.3079021 1.3563825 1.890794  1.4976491\n",
      " 1.3907171 1.8709685 2.4358416 1.8892381 1.5937823 1.252906  1.8994263\n",
      " 2.2866259 2.4091074 1.8009877 2.2545905 2.0147817 1.8684192 2.3508868\n",
      " 1.515138  1.9508886 1.5286903 1.9654037 1.90107   1.4625713 2.580433\n",
      " 2.3045185 1.8977361 2.4139242 2.0864618 2.0294871 1.4396682 1.8431785\n",
      " 1.5896673 1.5133662 1.256541  2.0877476 1.410247  1.8848248 1.7341619\n",
      " 2.4708881 1.2712042 2.4469297 2.1549747 1.9293193 1.3678285 2.439537\n",
      " 2.3166335 2.2436934 2.1782053 1.5832307 1.865272  2.2520814 1.4024826\n",
      " 1.718984  2.1829195 1.8424724 1.4107878 1.8357695 1.3516077 1.5227402\n",
      " 2.630962  2.1267815 1.7439854 1.4622841 1.7493345 2.3779685 1.8471884\n",
      " 2.4619544 2.4819324 1.9073085 2.564847  2.2452092 2.2721734 1.8722646\n",
      " 2.3672397 2.0382328 1.56203   2.0121155 1.6713368 1.2785919 1.7560914\n",
      " 2.2039213 1.8378966 1.9115131 1.6292083 2.4029272 1.982274  1.2338357\n",
      " 2.640494  1.6667103 2.0942945 1.5961353 1.414864  1.2265202 1.8096004\n",
      " 1.8248869 1.8665359 1.8822721 2.0175853 1.8769944 1.3773257 1.7136027\n",
      " 2.234958  2.1221306 1.8207525 1.4536031 1.5395607 1.5894512 1.5864564\n",
      " 1.8186191 1.4900216 1.9869462 1.6914316 1.3911529 1.5630443 1.2745144\n",
      " 2.2779412 2.2068105 1.7957485 1.2492988 1.7348075 1.6903485 2.5557718\n",
      " 1.7595649 1.5619142 1.4953963 1.462679  1.3485132 2.0574777 2.009711\n",
      " 1.5154681 2.284552  1.5500463 1.4467955 1.6477859 1.4724268 1.3968803\n",
      " 1.4963812 1.4817213 1.8370833 2.3379414 2.2627578 1.3362159 1.7973363\n",
      " 1.4844595 2.2186084 1.4894758 1.7206498 2.2265382 1.7323588 1.6969966\n",
      " 1.7866467 1.9519529 2.389008  2.370492  1.5519761 1.9562159 2.066172\n",
      " 1.9988079 2.1503239 1.5105728 1.9324112 1.2301396 2.121204  1.3010031\n",
      " 2.4236512 2.3932908 1.5917825 1.5503294 1.611577  1.7505262 2.4181576\n",
      " 1.5075798 2.065054  1.7903866 2.3141913 2.1965609 1.9774468 1.3619909\n",
      " 1.453619  1.4026085 1.5316439 2.5518155 1.6946725 2.4572136 2.4430149\n",
      " 2.114868  2.1846995 1.4355048 1.2662613 1.6185038 1.8625743 1.8384447\n",
      " 1.4211658 1.791157  2.3336298 1.4842998 1.5266236 1.4763867 2.6466599\n",
      " 1.537135  1.4651215 1.6141882 2.1530576 1.7804931 2.2177367 1.6247772\n",
      " 2.2850995 2.576765  1.3459233 1.4813269 1.9410104 1.8000504 1.6533419\n",
      " 2.2097278 2.2693632 1.6271832 2.5899138 2.0225492 1.5412834 1.7175405\n",
      " 1.9441018 2.0166302 1.6299374 1.504471  1.5633034 2.1457531 1.9064307\n",
      " 2.154698  1.7616132 1.5457547 2.127878  1.9076673 1.2314391 2.530274\n",
      " 1.4768813 1.8832802 2.2740183 1.9372478 1.79254   1.6240582 1.2862463\n",
      " 1.2749604 1.7454699 1.4669012 2.0620425 1.3976535 1.5084896 2.2018557\n",
      " 1.468706  2.3183236 1.8620495 1.937679  1.7082797 1.6781806 1.2132705\n",
      " 2.1791925 2.3546786 1.7494243 1.4314849 1.608782  2.3636255 2.5002577\n",
      " 2.3310916 1.6775208 1.9707648 1.6934103 1.9679844 2.146017  1.2599347\n",
      " 2.591464  1.8401939 2.4198751 2.4819918 1.7513502 2.1611052 1.5038896\n",
      " 1.8488063 2.1637485 2.4749844 2.2494369 1.3755764 1.6520196 1.6266148\n",
      " 2.0758538 1.3993572 1.4685929 1.9363073 1.7252619 1.574346  1.5242618\n",
      " 1.7003049 1.7313689 1.4102178 1.4855219 1.9029777 1.515039  1.3243643\n",
      " 2.1569223 1.637784  2.3956313 1.3007438 1.854749  2.4261076 2.0081913\n",
      " 2.2675385 1.9145834 1.4342343 1.7421578 2.4417922 2.0100958 1.8575443\n",
      " 1.2985097 2.2757385 2.1047974 2.0515156 2.1311088 1.6044596 2.4747047\n",
      " 1.5468885 1.3814939 2.3196754 1.4955986 1.6984692 2.2357574 1.9613366\n",
      " 1.7721345 2.449787  2.2285354 2.032923  1.3790654 1.7145492 1.6020823\n",
      " 1.6020802 1.525595  1.6457032 2.304027  1.4152095 2.5349815 1.9195122\n",
      " 1.77537   2.436677  1.4667453 2.3269649 2.0275486 1.5043358 2.564334\n",
      " 2.2674334 1.9241382 1.7885209 1.9114683 1.2946348 2.472133  1.7374862\n",
      " 2.5377216 2.4754372 1.6314127 1.759401  1.617558  1.470865  2.0729446\n",
      " 1.9272319 1.5883713 1.8301613 1.6279173 1.2460005 2.2791526 1.5736785\n",
      " 1.3606961 1.9358023 1.9888539 1.2738559 1.3730469 1.7131923 1.7712728\n",
      " 2.464039  1.4846005 2.1810145 2.418589  1.813502  1.5100046 1.46935\n",
      " 1.9234905 1.7722663 2.1504076 1.5532508 2.0758042 2.6646633 1.9573665\n",
      " 2.6402779 1.8881258 1.7067106 1.4645333 1.633536  1.7716144 1.2262192\n",
      " 1.4442554 1.3776597 1.5798587 1.5506455 1.5124606 1.7076126 1.5399892\n",
      " 1.3828093 1.8619634 1.4152368 2.2230303 1.6146036 1.8979114 1.5776929\n",
      " 1.8017843 2.5274315 1.3590117 1.4718777 2.3607457 2.0080616 2.325912\n",
      " 2.4922967 1.9064025 2.5827394 1.5447603 2.1223705 1.4945747 1.2442918\n",
      " 2.2234359 2.2383597 1.4736037 1.2582991 2.1183653 1.5144494 1.7013118\n",
      " 2.3364334 1.2841486 2.2629158 1.6374241 1.317829  1.792641  2.4962058\n",
      " 2.4890666 1.5323225 2.493388  1.7748885 1.5487645 2.3859968 2.1012526\n",
      " 1.2717264 2.3311431 2.3979971 1.8130713 1.5261301 1.9725533 1.5164534\n",
      " 1.5045742 1.6110191 1.5515388 2.4449248 2.0198457 1.6742632 1.3706024\n",
      " 2.1885417 2.2869322 1.5428478 1.3556052 1.5419883 1.6299871 2.2604861\n",
      " 2.486897  1.601613  2.1723528 1.22725   2.5845308 2.1924753 1.4272385\n",
      " 1.8052888 1.6636853 1.3619144 1.5493252 1.5868835 1.5405328 1.6470269\n",
      " 1.6822659 1.5145614 2.515508  1.8117095 2.3567438 1.9392779 2.072733\n",
      " 2.0240276 1.9414736 1.8491255 1.8040884 1.4368896 1.6855022 1.4707651\n",
      " 1.7425532 1.8082849 2.3173094 1.3211193 2.0628548 2.473833  2.3323786\n",
      " 1.6684417 1.7673054 2.2119899 1.4043611 1.955488  2.328232  1.9780539\n",
      " 1.3972996 2.137223  1.9573265 1.383339  1.5730755 1.2004224 1.6119915\n",
      " 1.5271623 1.6538391 2.000033  1.8649219 1.4642475 2.2579257 2.075504\n",
      " 2.1772761 2.398924  1.4744674 2.071479  1.4521849 2.0802345 2.311769\n",
      " 1.2285613 2.1590967 1.4569633 1.8248398 2.3422444 1.6934212 1.8138345\n",
      " 1.5279741 1.3065578 1.9177244 2.0163887 1.3150203 2.155122  1.6268575\n",
      " 1.3530291 2.5693738 1.4275631 2.0303361 1.5321047 1.702242  1.5628589\n",
      " 1.9157676 1.4981705 1.2430824 1.2670171 1.6125268 2.1563013 1.764641\n",
      " 2.0050678 1.6721108 1.3291949 1.9218107 1.424757  1.4814876 1.3893771\n",
      " 2.575394  2.5723412 1.8284254 1.7699901 1.6215073 2.3517487]\n",
      "signal\n",
      "[1.6582956 2.4968314 2.080903  2.2626429 2.6021812 2.5685291 2.296026\n",
      " 1.9490836 2.41393   1.7214632 1.9666783 2.0857263 2.2496386 1.2998694\n",
      " 2.500027  2.4479558 2.4516013 1.8349626 1.762388  2.1455576 1.8414093\n",
      " 1.934064  1.895009  1.3798339 2.4892135 2.4502423 2.4483092 2.3936846\n",
      " 1.5521555 2.41406   2.1042624 1.4192705 2.633144  2.468889  1.7427629\n",
      " 2.0352235 2.2289972 2.5370758 1.4842578 2.195338  2.2706292 2.1878912\n",
      " 1.9518086 1.8710934 2.122434  2.095756  2.178133  2.547307  2.3379488\n",
      " 2.2837758 2.1321142 2.41245   2.0432055 2.418608  2.3576088 1.754679\n",
      " 2.4042904 1.8736817 2.386861  2.3878891 1.7385597 2.4063325 1.504363\n",
      " 1.8031071 1.5593469 2.276481  1.3881626 2.2883515 1.6892235 2.238961\n",
      " 2.1968033 2.064167  2.507572  2.0332842 1.3162504 2.3288038 2.3332694\n",
      " 1.6693662 2.3040185 1.8189834 1.64678   2.3741405 1.7359974 2.4183223\n",
      " 2.4118803 2.2478824 2.111354  2.4523795 2.3488963 2.3406446 1.944225\n",
      " 2.211764  2.298181  1.3526162 1.5850667 2.2206466 2.4211566 2.0925188\n",
      " 1.8032979 2.3851855 2.199422  1.7443932 2.0283844 1.8049246 2.1749167\n",
      " 2.1127453 2.673935  1.3690996 2.5661445 2.4621475 2.2364008 2.1180608\n",
      " 1.9859884 2.435547  2.5818129 2.084492  2.5101447 2.1875954 2.2181258\n",
      " 2.3838801 2.4255407 2.2493165 2.151062  2.4804008 2.0839558 1.5770552\n",
      " 1.7384129 2.3855674 2.432568  2.1535003 2.374489  2.293198  2.4960637\n",
      " 2.1229794 1.4187416 1.4972563 2.4326227 1.8045038 1.4598691 2.4651146\n",
      " 1.7580107 2.2110083 2.2148852 2.3702075 1.2917361 2.5665855 2.2700565\n",
      " 2.469186  1.6196729 2.6095893 2.3451385 2.0944762 2.4381757 1.7625264\n",
      " 2.3944695 2.5216544 2.430671  2.47695   1.5687581 2.1957128 2.5039027\n",
      " 2.1156414 1.4214193 2.040205  2.0717442 1.995883  2.3442872 2.127145\n",
      " 1.8328598 1.7146657 2.0275447 2.1195393 2.0888076 2.023096  1.787794\n",
      " 1.4855626 1.8278561 2.3431294 2.2901914 1.6994148 1.6333239 2.511384\n",
      " 2.416907  1.9789321 2.312421  2.029494  2.2699192 2.836436  2.3991804\n",
      " 1.9981371 1.9535469 2.3729317 2.266379  2.5821123 2.2323008 2.0536728\n",
      " 1.2656404 1.6995804 1.3501724 1.7050698 2.1730332 1.3569427 1.9174912\n",
      " 2.5059316 2.5104856 2.3946068 2.1268983 2.4789624 2.315627  2.1487865\n",
      " 2.534812  2.3794267 2.4643724 2.5272355 2.2262774 2.2216003 1.2921555\n",
      " 1.5503527 1.7862892 2.407274  2.5670872 1.4853832 2.4323924 1.6296055\n",
      " 2.387916  1.7485296 2.2147644 2.2433445 2.2653155 2.1982083 2.4379423\n",
      " 2.4748633 2.2816129 2.2700734 1.7871534 1.9315541 2.1904984 2.407331\n",
      " 1.9968172 1.5847431 2.345041  2.4600596 2.360352  1.9087558 2.5773282\n",
      " 1.5006393 2.1583242 2.358003  2.4971762 2.005219  2.4744208 1.2567252\n",
      " 1.9061561 1.579004  1.8620573 2.470389  2.3590982 1.5682609 2.3838043\n",
      " 2.351404  1.9890752 2.0662465 2.1424482 1.9472234 2.6199288 2.2856834\n",
      " 2.5915213 1.8816966 2.0428634 1.5783457 1.6678536 1.5196869 2.1543806\n",
      " 2.3836517 2.4503262 2.248017  1.7250849 1.4873444 2.2657583 1.9065596\n",
      " 2.2846913 2.315174  2.194763  2.3494594 1.7599362 2.3623338 1.413414\n",
      " 1.7650594 1.825528  2.1291406 1.520229  2.137927  2.217596  1.5466067\n",
      " 2.4291048 2.1491342 1.8877131 2.0863042 2.1868637 1.771158  2.4347425\n",
      " 1.5778241 2.4523146 2.0259044 2.553301  2.217957  2.4156644 1.967305\n",
      " 2.3628047 2.1673374 2.3908134 2.3080432 2.0846834 2.4435449 2.5039399\n",
      " 2.4085069 1.5504105 2.333854  2.1325388 2.3051975 2.3909323 2.4091012\n",
      " 2.5049224 2.375222  2.4265413 2.2465653 2.2910125 2.4131372 2.2439141\n",
      " 2.4219446 1.9360842 2.1421287 2.357201  1.8861853 1.9699173 2.5674107\n",
      " 1.5532656 2.330188  1.9908439 2.4066966 1.9857632 2.6232493 2.5158038\n",
      " 2.3355496 2.4991148 2.3571854 2.4067576 1.5690119 2.3839514 2.1646192\n",
      " 2.4249883 1.6373942 2.416063  2.616612  1.9830267 2.4839344 2.024888\n",
      " 1.6280689 1.3400985 2.454474  1.4157016 2.4904082 2.2403333 1.8267548\n",
      " 2.676423  2.5382185 2.5305138 1.491317  2.2659    1.6475633 2.4172907\n",
      " 2.4337344 1.2170086 2.5302756 2.0460565 2.3184052 1.6455332 2.1872146\n",
      " 2.55475   2.4455185 2.1850777 2.586354  2.508013  2.0971308 2.1362672\n",
      " 2.172228  1.9964503 1.6349766 1.7700355 2.5518048 1.6707596 2.0691044\n",
      " 2.5293708 1.9866921 2.2749624 2.0370739 2.2049901 2.069065  2.2050583\n",
      " 2.6338627 1.7254761 2.6533794 2.0862157 1.7085397 2.637988  1.9467142\n",
      " 1.9941955 2.5509953 2.3800738 2.4168482 2.1489587 1.7599654 2.191542\n",
      " 2.3395238 1.3696868 2.4373384 2.374491  2.1252422 2.4897256 2.4639046\n",
      " 2.4811466 2.43041   2.2556345 2.3928022]\n",
      "data\n",
      "[1.3815606 1.9712231 2.0771296 2.1147614 1.429785  1.6477611 2.303654\n",
      " 1.2722323 1.3437674 1.9997742 1.8400338 1.2021165 1.7024462 1.5568573\n",
      " 1.6000302 1.3389754 2.4424012 2.168387  1.659054  1.821276  1.567797\n",
      " 1.5788558 1.2008679 2.259765  1.5815675 1.455734  1.2604215 1.3968086\n",
      " 2.030228  1.4367106 1.6677573 2.304487  1.969023  1.3953063 1.6006739\n",
      " 1.3776177 1.4128745 1.983767  1.685888  1.2343209 1.4399762 2.43384\n",
      " 1.482979  1.4699047 1.7989514 1.5844791 2.49076   2.2779434 2.3945963\n",
      " 2.333402  1.4606001 1.756737  1.5152457 2.0268795 1.970319  1.6286552\n",
      " 1.9609387 1.2830527 1.254185  1.4744222 1.5476363 1.2928526 1.4529576\n",
      " 1.9154222 1.3663642 1.9325755 1.5581086 2.2853563 1.3895247 1.4012201\n",
      " 1.2364676 1.7714958 2.1352856 1.7360882 2.3950884 1.4105194 1.692445\n",
      " 1.9059651 1.6090186 1.2452819 2.0112507 2.2320676 1.306617  1.5261834\n",
      " 1.3202022 1.4641644 1.3081791 1.227311  1.5990231 1.3524115 2.4622571\n",
      " 1.4723666 1.3166101 2.2970946 1.45595   1.2595856 1.5410092 2.0129712\n",
      " 2.0258763 2.39702   2.1914265 2.2955115 1.3080752 1.5474484 2.226928\n",
      " 1.6021242 2.080928  2.2760258 1.8550801 1.2272971 2.3110313 1.396114\n",
      " 1.2033064 1.2249548 1.9479926 1.9910167 1.4078562 1.7595499 2.3226264\n",
      " 1.4423275 1.4120429 2.1110413 2.4786437 1.6874635 1.473453  1.6345322\n",
      " 1.6333557 1.6033537 2.3828065 1.4646513 1.4064524 2.4452536 1.7223532\n",
      " 1.2923372 1.7961681 1.42929   2.0076985 1.7476623 2.0811656 2.3139975\n",
      " 1.7334626 2.0724957 1.5703413 1.4832691 1.9478114 1.9116242 2.1211953\n",
      " 1.7616408 1.5443347 1.8687851 1.3344882 2.3062315 1.2150234 1.5413239\n",
      " 1.6852772 2.1767228 1.5256207 1.7404406 2.0408595 2.1200993 2.0687213\n",
      " 1.8253381 1.5979521 1.8969729 1.9208491 1.4462664 2.3226721 1.499758\n",
      " 2.3023586 2.05704   2.3617575 1.446923  2.1800804 2.3020937 1.5491413\n",
      " 2.2172234 1.471576  1.6612785 2.4749303 2.016894  2.4942064 2.4394543\n",
      " 1.5967674 1.4114404 1.4236195 2.2623413 1.4880439 1.7713153 2.2370465\n",
      " 1.4636996 2.4389038 2.4130461 2.1752748 1.3561232 2.3900692 2.239114\n",
      " 1.4294889 1.8128029 2.2293172 2.1345503 2.0705392 2.3403428 1.8998399\n",
      " 1.391516  1.3816578 1.7623618 2.1485019 1.2357737 1.4426415 1.4354098\n",
      " 2.2951624 1.6949017 2.1478722 2.0855372 1.8382218 1.5769227 2.4334917\n",
      " 1.3086879 1.3861537 1.5548155 1.6883707 1.7760386 1.4780533 1.6399446\n",
      " 2.3235924 1.7996253 1.3877132 1.6364671 1.2253422 1.5616753 1.204592\n",
      " 2.10158   1.8226535 1.2162888 1.4616601 1.6726768 1.8999128 1.4858792\n",
      " 1.7134607 1.8840306 2.2165186 1.3213792 1.939256  1.9840472 1.6272651\n",
      " 1.5460765 1.3464324 1.683706  1.5856737 1.7676929 1.9252577 1.2599895\n",
      " 1.228273  1.2874367 1.8129619 1.6127388 1.7097149 1.50649   1.4813107\n",
      " 2.3046381 1.3939154 2.4296446 1.3295486 1.2311995 1.4426254 1.3486273\n",
      " 1.845576  2.4120016 1.2818015 1.474314  1.8186295 1.9506915 1.3470953\n",
      " 2.0153906 1.6515367 1.2871935 1.8234208 2.1508172 1.2027009 2.320781\n",
      " 1.8480761 2.2495997 1.2359302 2.2500613 1.6716237 1.485522  1.4578507\n",
      " 1.3490393 1.7056651 2.2487862 2.0461113 2.4082997 1.8237984 2.424125\n",
      " 1.7566679 1.738064  1.8263304 1.3048241 1.3403904 1.54441   1.2577107\n",
      " 1.3893292 1.6425517 2.343675  1.7213625 1.2949059 1.2332251 1.6561565\n",
      " 2.2608283 2.4016075 1.4972413 2.1529362 2.0145218 1.7685566 2.1877463\n",
      " 1.4970329 1.8013222 1.3668425 1.7544601 1.7994769 1.2888081 2.417805\n",
      " 2.057313  1.7521656 2.2960944 1.7186625 2.0124733 1.4161083 1.676952\n",
      " 1.2744796 1.5113738 1.2354529 2.08653   1.4065535 1.8835919 1.7303138\n",
      " 2.4652677 1.2244256 2.3347805 2.1116097 1.7437704 1.2613585 2.2517512\n",
      " 2.242469  2.0710063 2.084822  1.4518416 1.7006178 2.1532738 1.4009695\n",
      " 1.4640725 2.1829188 1.8256801 1.4096348 1.6661286 1.3515475 1.5079398\n",
      " 2.4817526 1.9599383 1.7273457 1.302499  1.361551  2.2430656 1.668967\n",
      " 2.4490244 2.4803278 1.6141856 2.4778626 2.0459063 2.098832  1.7818816\n",
      " 2.1976292 1.8349969 1.4178417 1.883425  1.54019   1.2726433 1.7451813\n",
      " 2.121465  1.6806366 1.7531893 1.483206  2.2444315 1.7252529 1.2337849\n",
      " 2.4675972 1.4289048 2.0691452 1.5712667 1.328028  1.2159917 1.5385492\n",
      " 1.8159622 1.8662436 1.83221   1.8589356 1.8769482 1.2140458 1.3817194\n",
      " 1.9889586 2.0036166 1.6525013 1.4366643 1.4831583 1.5796216 1.5678104\n",
      " 1.6151674 1.4791205 1.9048359 1.6903722 1.388324  1.2257854 1.2727234\n",
      " 2.1259902 2.2017376 1.7957468 1.2489264 1.6186212 1.384464  2.4592087\n",
      " 1.7539494 1.5616858 1.3811915 1.4621056 1.3194382 1.7902024 1.9756329\n",
      " 1.4056036 2.2164576 1.3957325 1.4463197 1.3765118 1.276522  1.2101414\n",
      " 1.4490254 1.3796504 1.7398574 2.1460185 2.0699918 1.3192804 1.6295063\n",
      " 1.3183854 2.2173264 1.4035056 1.7127192 2.2173245 1.223252  1.5026572\n",
      " 1.7204592 1.6025898 2.388454  2.2325718 1.5510508 1.7752092 1.7235167\n",
      " 1.8299397 2.0461953 1.5096714 1.6131468 1.228786  2.1111414 1.2872045\n",
      " 2.3358166 2.3875134 1.5789979 1.5491936 1.4294214 1.6855681 2.3133729\n",
      " 1.366585  2.0647593 1.7211777 2.207052  2.152582  1.8610213 1.3381932\n",
      " 1.4517071 1.263345  1.3983185 2.3513343 1.680403  2.260155  2.4055827\n",
      " 2.0428984 2.180857  1.4131815 1.2451936 1.6184857 1.7194893 1.6023513\n",
      " 1.420078  1.6791794 2.2398913 1.4462743 1.2018119 1.473242  2.4308183\n",
      " 1.5060241 1.3782591 1.6136448 1.9689047 1.780474  2.065591  1.556071\n",
      " 2.245953  2.4806569 1.273164  1.4405062 1.6152765 1.7636111 1.5681021\n",
      " 2.0978587 2.2631285 1.522054  2.416881  1.884023  1.3771513 1.4076021\n",
      " 1.9440868 1.9999182 1.6260221 1.2147388 1.5399303 2.0732129 1.6159685\n",
      " 2.1506646 1.7554352 1.3091488 1.8865154 1.7307045 1.2314146 2.4156125\n",
      " 1.4746661 1.6610329 2.2654033 1.746059  1.582866  1.4472878 1.2826985\n",
      " 1.27403   1.7043548 1.440851  1.9683774 1.2287858 1.330649  2.1583703\n",
      " 1.2579243 2.234278  1.8615115 1.934046  1.547209  1.6781647 1.2127831\n",
      " 2.1673586 2.2949562 1.4215338 1.4300468 1.3284708 2.3550217 2.4948637\n",
      " 2.2209244 1.4626639 1.9108641 1.6595061 1.9334075 1.9890654 1.2580836\n",
      " 2.3607957 1.6616719 2.419865  2.4470904 1.5840895 2.160893  1.416453\n",
      " 1.7269013 2.161403  2.3639948 2.1870053 1.2842829 1.2285589 1.4820226\n",
      " 1.912925  1.3919097 1.3286308 1.9323962 1.6674387 1.4096062 1.2570326\n",
      " 1.5153372 1.7283614 1.2737157 1.483362  1.8452175 1.3120234 1.3218025\n",
      " 1.9711231 1.5215228 2.3426383 1.2405164 1.6658912 2.4226549 2.0039706\n",
      " 2.0027246 1.9072695 1.4270262 1.7314122 2.2683146 1.9248335 1.7509062\n",
      " 1.2022545 2.1329606 1.9456388 1.8149045 2.1311085 1.530369  2.2904322\n",
      " 1.515279  1.3365738 2.089258  1.4875574 1.6531832 2.234317  1.7281363\n",
      " 1.7244878 2.4478917 2.0649273 1.7194946 1.3647792 1.7092445 1.5905755\n",
      " 1.5806811 1.2595146 1.4133265 2.27203   1.4146767 2.4534912 1.78774\n",
      " 1.5487897 2.311637  1.4572442 2.3267689 2.0011463 1.2798457 2.4832318\n",
      " 2.19864   1.647793  1.6636479 1.7300141 1.2943816 2.2839983 1.674823\n",
      " 2.4266598 2.3101113 1.3658822 1.5793784 1.6171801 1.4704411 1.7232983\n",
      " 1.7789277 1.585335  1.7263784 1.5923941 1.2408335 2.089965  1.4168293\n",
      " 1.3606942 1.9309016 1.8609929 1.2722132 1.3729861 1.6084139 1.7637441\n",
      " 2.461775  1.4823887 1.9875233 2.341489  1.8134778 1.5082363 1.4693316\n",
      " 1.7084401 1.7700875 2.066106  1.5355456 1.988096  2.4412339 1.9565547\n",
      " 2.4987502 1.781532  1.7064679 1.3425174 1.4695475 1.5719414 1.2225494\n",
      " 1.2980092 1.2499387 1.3778307 1.2351732 1.263711  1.6597658 1.510473\n",
      " 1.3167524 1.5781155 1.4149115 2.2225275 1.3610117 1.8022063 1.5774643\n",
      " 1.8007576 2.4530947 1.3511546 1.439255  2.2177765 1.997215  2.3244526\n",
      " 2.4144518 1.8698208 2.3646023 1.4208357 1.9348559 1.4050515 1.2438505\n",
      " 2.0483277 2.0601685 1.2628136 1.2522697 1.8807507 1.5135415 1.7005968\n",
      " 2.0916245 1.227772  2.1904762 1.480633  1.3163779 1.7766998 2.3888178\n",
      " 2.3802388 1.2229906 2.392855  1.7683308 1.5428965 2.2576888 2.0460293\n",
      " 1.2627099 1.9835398 2.3930917 1.806227  1.4901648 1.972255  1.512568\n",
      " 1.4916093 1.2072403 1.3756678 2.4148095 1.7457354 1.4356768 1.2383957\n",
      " 2.0940087 2.1934164 1.2038863 1.3529999 1.423137  1.4453977 2.16434\n",
      " 2.3467143 1.5096056 2.0683331 1.2233129 2.3670237 2.0907557 1.2301061\n",
      " 1.5449237 1.6258552 1.3214772 1.3780873 1.3584673 1.5151808 1.4115422\n",
      " 1.674679  1.4129937 2.369846  1.43205   2.239236  1.7012694 2.0059435\n",
      " 1.8112147 1.8451355 1.6848776 1.7969344 1.4363854 1.6712983 1.4704001\n",
      " 1.5497346 1.5824621 2.311146  1.3196661 1.9554994 2.4345138 2.1578724\n",
      " 1.314275  1.7562201 2.2068799 1.3409731 1.9540303 2.179982  1.9757531\n",
      " 1.3509877 2.130009  1.6850274 1.2807286 1.5115402 1.2002943 1.5895479\n",
      " 1.519376  1.6525166 2.0000288 1.7422097 1.4111269 2.1644561 1.8639176\n",
      " 2.0416281 2.2718585 1.4740822 1.8493134 1.4496291 2.0772688 2.1814005\n",
      " 1.2212422 1.9821625 1.3057635 1.6561215 2.3244746 1.693138  1.812825\n",
      " 1.4175055 1.306555  1.8003896 1.8895476 1.3141637 2.074094  1.6259186\n",
      " 1.348902  2.385441  1.3959444 1.7334156 1.402942  1.6145971 1.5259154\n",
      " 1.9043963 1.4703128 1.238517  1.2625703 1.4507365 2.0560575 1.3512052\n",
      " 1.9208052 1.4990079 1.3229733 1.6794789 1.3710678 1.3603709 1.2618687\n",
      " 2.481782  2.4266984 1.5131533 1.6065166 1.4507983 2.3093112]\n",
      "signal\n",
      "[1.513799  2.492935  1.7960684 2.1801486 2.4766219 2.293276  2.0810044\n",
      " 1.8704356 2.350314  1.7179286 1.8661454 2.0685923 2.0532944 1.2557185\n",
      " 2.3691087 2.3576305 2.4510462 1.825022  1.7469523 2.128267  1.7561772\n",
      " 1.7159874 1.8487659 1.3035786 2.39001   2.4107788 2.4113421 2.3355696\n",
      " 1.5521549 2.3040175 2.1042597 1.3794682 2.4256222 2.3610232 1.7341582\n",
      " 2.0338604 2.126763  2.4373505 1.4618943 2.195262  2.2630694 2.1546018\n",
      " 1.9489288 1.8351767 2.121393  2.0183656 2.1779118 2.4707026 2.3332293\n",
      " 2.193517  2.1321137 2.3665454 1.8840859 2.4136117 2.3442013 1.6478177\n",
      " 2.177592  1.8711426 2.0210602 2.3853772 1.4255831 2.3894167 1.4175622\n",
      " 1.802789  1.5554396 2.2760327 1.2522161 2.281119  1.6451161 2.1091921\n",
      " 2.134082  2.044474  2.3194096 2.0248291 1.3025706 2.3108876 2.3227808\n",
      " 1.6168646 2.281812  1.8159881 1.6332309 2.3161957 1.7329004 2.4167507\n",
      " 2.4098094 2.1193135 1.8432639 2.4473917 2.3486264 2.3265374 1.9261734\n",
      " 2.1526597 2.1993506 1.2544523 1.4062502 2.0376427 2.226475  2.0051363\n",
      " 1.7508123 2.35868   2.1510203 1.6588485 2.0119374 1.8048441 2.1735466\n",
      " 2.036235  2.4383616 1.3016238 2.4182007 2.4440138 2.2322438 1.8076165\n",
      " 1.475148  2.413737  2.4248269 2.0594962 2.444492  2.1784794 2.0736673\n",
      " 2.3593981 2.3643205 2.2493088 2.037042  2.4494672 2.0713232 1.4511034\n",
      " 1.7207291 2.3671374 2.4288929 2.0684655 2.3254948 2.2715828 2.4867127\n",
      " 2.0225098 1.3746607 1.4433889 2.4128716 1.5609348 1.4316392 2.4359047\n",
      " 1.7578646 2.1765206 2.18975   2.251158  1.2818835 2.3641703 2.2046883\n",
      " 2.3919709 1.6132033 2.325725  2.3324358 2.0536683 2.3155491 1.5808008\n",
      " 2.3454792 2.3701305 2.4273112 2.4654152 1.4845343 2.1949341 2.4957192\n",
      " 2.1091416 1.3666768 2.0268369 2.0535357 1.7521861 2.325661  2.126888\n",
      " 1.8302948 1.63359   2.0275042 1.9776728 2.0712893 2.0230877 1.5011466\n",
      " 1.4811162 1.5398247 2.3372018 2.1673405 1.5504    1.3373449 2.3519895\n",
      " 2.262026  1.8947623 2.3051388 2.0019019 2.268593  2.4965665 2.2978785\n",
      " 1.9950602 1.9534227 2.3714688 2.235807  2.4573195 2.2136347 2.048424\n",
      " 1.2106535 1.4946545 1.3462906 1.6720581 2.1583369 1.2477014 1.8725121\n",
      " 2.4275162 2.4370835 2.3865588 2.1251261 2.4724953 2.3064373 2.0315592\n",
      " 2.4438584 2.365867  2.4631217 2.3194818 2.182382  2.180504  1.2433407\n",
      " 1.3975465 1.737412  2.3917897 2.4913847 1.4657961 2.4147913 1.5654085\n",
      " 2.310211  1.7103306 2.054722  2.2144063 2.136673  2.1376526 2.3379939\n",
      " 2.4499543 2.2807198 2.267812  1.6367915 1.9097626 2.0162177 2.3404295\n",
      " 1.6762354 1.5757401 2.3049939 2.2301285 2.3555882 1.6251671 2.471244\n",
      " 1.4172122 1.9599164 2.1719475 2.4971738 2.0000727 2.4675725 1.2539914\n",
      " 1.8806956 1.5610793 1.8335392 2.3468506 2.2933981 1.4669411 2.333626\n",
      " 2.3402216 1.8594992 2.0232108 2.068408  1.94683   2.4319162 2.1558497\n",
      " 2.3659005 1.8408587 1.9824746 1.4171622 1.5770116 1.4101511 2.148142\n",
      " 2.3695388 2.264459  2.1135113 1.3436148 1.2999502 2.2502804 1.8201878\n",
      " 2.160272  2.2789197 2.1938744 2.2860801 1.7436526 2.3621662 1.3903449\n",
      " 1.762708  1.799605  2.1205559 1.4876158 2.1375148 2.215192  1.5349524\n",
      " 2.4231503 2.1446848 1.8873541 2.0570385 1.9057003 1.7705224 2.414385\n",
      " 1.5749741 2.4492447 1.8643534 2.369665  2.217956  2.4144864 1.9657309\n",
      " 2.2720745 2.1668665 2.3784096 2.1185791 2.0494769 2.4434865 2.4376023\n",
      " 2.3952444 1.4485819 2.218977  1.9113867 2.2894173 2.390583  2.4070275\n",
      " 2.437959  2.3518937 2.42046   2.2114594 2.2777874 2.3878329 2.243912\n",
      " 2.4203742 1.9319088 2.0878336 2.2967286 1.8852723 1.8246253 2.4941761\n",
      " 1.533479  2.2956252 1.8234432 2.3505785 1.9841359 2.4589221 2.2142107\n",
      " 2.1564982 2.4985034 2.0365145 2.4026072 1.4679291 2.2068129 2.1138804\n",
      " 2.3671772 1.6011474 2.220677  2.4441342 1.961491  2.4824283 1.8719056\n",
      " 1.6261027 1.3241491 2.4407818 1.2160919 2.4890614 2.2402413 1.8173645\n",
      " 2.4251978 2.4521494 2.371847  1.4209993 2.265837  1.6402695 2.2913172\n",
      " 2.3567855 1.2000505 2.4941952 1.9169333 2.041457  1.5984452 2.1844323\n",
      " 2.3871214 2.4059536 2.1674287 2.4746525 2.4656765 2.0337067 2.0142365\n",
      " 1.8892611 1.9962355 1.584066  1.4546273 2.380922  1.6691275 2.0462925\n",
      " 2.476226  1.9808857 2.2705948 2.035842  2.1810296 2.0554168 2.2050335\n",
      " 2.4620545 1.5204709 2.4804657 2.0347912 1.698273  2.3194792 1.7848837\n",
      " 1.9915555 2.3365414 2.3767436 2.06291   2.1098988 1.7404892 2.1681902\n",
      " 2.3163626 1.3163264 2.354481  2.172641  2.1006768 2.4761283 2.4626992\n",
      " 2.4776776 2.392764  2.05355   2.392443 ]\n",
      "data\n",
      "[-2  2 -4  2  2  4 -3 -4  2 -2 -3  4 -3  2  4  4 -3  4 -1  4 -3 -3 -3  4\n",
      " -2 -3  2  2 -4 -3 -3 -2  2 -2 -2  4 -2  3  3 -4 -2 -2 -3 -3  4 -2  4  4\n",
      "  2 -4 -3  2  3  2  3 -2 -3 -4 -4  4 -2  3  4  4 -4 -2 -3  4  3 -2 -3 -2\n",
      " -2  4 -4 -3  3 -3  2  2 -2  2  4  2  4 -3  3  3  4 -4 -4  2 -3  4 -4  4\n",
      "  4  3  2 -2  3  4 -2  4  2  4  4  4  2  4 -3  4 -2 -2  3  2 -2 -4  2  4\n",
      " -2 -2 -2  3  2  4 -3 -3 -2  3 -3 -3  4  2 -3 -3 -2 -2  4  2  2  4  3  3\n",
      "  4 -3  2  4 -2  4 -1 -3  4 -3 -2  2 -3 -3 -2  2  3  3  4  1 -2  4 -3  2\n",
      " -4 -4 -2 -4 -4  3  3 -2  2  4 -3 -4 -2  4 -3  2 -2  3 -2  4  1 -4 -2  3\n",
      "  3 -4 -2  2  4 -4 -2 -2  3  4  3 -2  2 -4  3 -2 -2  3 -2 -2 -3  2  4  4\n",
      " -2  4 -2  3 -3  3  3 -2 -4  4  2  4 -2  2 -4  2 -4 -2  3  3 -4 -3 -4 -4\n",
      "  2 -4 -4 -3 -2  2  2  2 -2  4  2  3 -3 -2  2  4  2  3 -4  4 -4  2 -4 -2\n",
      " -3  3 -2  2  4  3  2 -4  3 -2 -3 -2 -2 -3 -3  2  4  4 -2  3 -4 -4 -4 -4\n",
      "  4 -3 -2 -2  4 -3  2  3  4 -3 -3 -4  4 -3 -4 -2 -2 -2 -4 -4 -4 -2  1  2\n",
      "  4  2 -3  4 -3 -4  3  4 -3 -2 -2 -3  3  2  2  3 -3 -2  2  4 -1  2  4 -4\n",
      " -2 -4  3  3  4 -2  2 -4  3 -2  4  4  4 -2  2 -2  2 -4 -2  2 -3 -2 -4 -2\n",
      "  2 -4 -2 -4  4  2  2  2 -3  4  2 -2 -4  3 -4 -2  4 -4 -3  2  2 -3 -3 -2\n",
      "  2 -2 -2 -4  3 -3 -2 -2 -4 -2  1 -2 -3 -3 -4 -4  3  2  2  4  3  4 -4  4\n",
      " -2  2 -4  3 -3  4  4  3 -4  4  4 -3 -4  3  4 -2 -4 -2  3 -4  2  4 -2 -4\n",
      " -4 -3  4 -4 -4 -3 -2  4  3 -2 -2  2  4 -3 -4  2 -1 -3 -4 -2  4 -2 -1 -2\n",
      " -2  3  2 -2  2 -2  3  4  2 -3 -2  2 -2  4  4  3  2 -2 -2 -2 -2 -2  3 -2\n",
      " -4 -3 -2  3  4 -2 -3 -3 -2 -4 -4 -2  3 -1  2  4  3 -2  3 -2 -2 -4 -3 -4\n",
      " -2  2  4 -4  2 -2 -2 -2  4 -4  3  4 -2  3  3 -4 -3 -4 -1 -2  4 -3 -2  4\n",
      "  4 -4  4 -3 -4 -2 -3 -2 -4 -2 -4 -3 -1 -3 -2  3 -3 -2 -2  2  3 -2 -2 -3\n",
      " -3  3  3 -3 -2 -2  4  2  4  2  2  2 -3  4  4  2 -3  2 -4 -3  2 -3 -3  2\n",
      "  3 -2 -3  2  2  3  4 -3 -3  4  2 -2 -2  2 -4  3 -3  2 -3 -3 -3  4  2 -2\n",
      " -3 -4  1 -3 -4 -2  3 -2  2  2  4 -2  2 -3 -4 -3 -4  4 -3 -2 -3 -3 -4 -4\n",
      " -3  3 -2 -2  3 -2 -2 -3  3 -3  3  4  4 -2 -2 -2 -3 -4 -2  4 -2 -2  3  4\n",
      " -3  2  2  3  3 -2  2  1 -4 -2 -4  3 -4  3 -4 -3 -3  4  2  2  4 -3 -3  4\n",
      " -2 -4  2 -2  4  2 -4 -2 -2 -3 -4  2  2 -2 -3  3 -3 -4 -2  3 -2  4 -2  4\n",
      "  3 -3 -4 -4  2  2 -3  4  3  2 -3  4  2 -3 -1  3  2 -2 -3  3  4 -2 -2  4\n",
      "  2  2 -2 -2 -2 -2  3 -2 -3  3 -2 -4 -2  3  2 -2 -2 -2 -4 -3  4  3 -4 -2\n",
      " -2 -4 -2  3  3 -2 -1 -4  4  4 -2 -3 -4 -4  2 -3 -2  2 -2 -2  2 -2  3  3\n",
      " -1  4 -2  4 -1 -2  2 -2  2 -3 -2 -2 -3  2  2 -3  2 -2  4 -2 -3  4 -3  2\n",
      " -4 -2 -3 -3  2  2  1 -3 -2  2  3 -3  2 -4 -4  3  2  4 -3 -4  2  2 -2  4\n",
      "  4 -4 -2  3  4 -4 -4 -3  3  1 -2 -3  3 -3  4  2 -4 -3  4 -2  2 -3 -4 -4\n",
      " -2 -3  2 -3 -2  4 -3 -2  4 -2  2  2 -2  3 -2  2 -4 -3 -2 -2 -2  2 -2  2\n",
      "  4 -3 -2]\n",
      "signal\n",
      "[-4 -3  3  2 -3  1 -4 -3 -2  1 -2 -3 -1  2  3  4  2  1  1 -2  2 -1 -4  2\n",
      " -4  4  1  2  3  2 -1 -2 -2  2  4 -2  4 -4  4 -3 -4  3 -2 -3 -4  3  4  2\n",
      "  4  2  3  2 -4 -2 -2 -4 -2  1  1 -3  4  4  4  4 -3  4 -2  2 -3 -3 -3 -4\n",
      "  3 -1  4  4 -2 -3  4 -2 -2 -2  4  2  2  3  3 -3 -2  2 -4  4 -4 -3  4 -2\n",
      " -4 -3  2  4  4 -4  2 -2  3  2  1  3 -3 -1  1  1 -2  2  4  4 -4  2 -2 -1\n",
      " -4 -2 -2  3  2  4  4  1  4 -4 -3  2 -2  2 -4 -1 -2 -4 -4  2 -3  4  2  3\n",
      " -1 -4 -4  4 -2 -2  4  2 -3  3  3  2 -2 -3 -1  2  3 -4  1  4 -3 -2  2  2\n",
      " -4  3  1  2 -2  1 -3 -2 -1  3  3  2  1  2 -2  4 -2 -2 -4 -2 -2 -3 -4 -2\n",
      " -4 -4 -4 -2 -2  2  1 -1  4 -2 -1  2  1 -1 -2  4  3 -2  4  2  3 -2 -2 -4\n",
      " -2  3  1  3  2 -4  2 -2 -1 -2  2 -4  3 -2 -3 -4  4 -3  3  2  3  1 -1 -4\n",
      "  4  2 -4 -3  3  2 -2  2 -2 -3  2 -4  3  4 -4 -4  4  2 -4 -2  3 -1 -2 -2\n",
      "  1 -4 -2 -2 -3 -4 -4  4 -4  4 -4 -2  2  2  2  3  3 -2 -2 -3 -2 -4  1  3\n",
      " -2  2  1  3  2 -3 -2 -2 -3  3  3  3  4  2  2 -3 -1 -2 -4 -4 -1 -3  2 -3\n",
      " -3  2 -3  4 -4 -2  2 -3 -4  2 -4 -3 -3 -3 -4  4 -1  2 -3  1 -3  1 -2 -1\n",
      "  3  4  2  2  3  2  1 -4  4  2  2  1 -3  4 -1 -2  2 -1  2 -2 -4  2 -1  2\n",
      " -3 -2  2 -2  2 -4  2  3  3  3  4 -2 -4 -3  3 -1  2  2  1 -3  3  4  2  3\n",
      " -1 -1 -3  3 -1  3 -2  3 -1  2  4  4 -3  4 -2 -4 -3 -1 -4  2 -3 -2  4  1\n",
      " -2  3 -1  2  3  3  2 -3 -2 -3 -2  2 -2 -4  4  2]\n",
      "data\n",
      "[-2  2 -4  2  2  2 -3 -4  2 -2 -2  4 -2  2  1  3 -3  4 -3  2 -3 -2 -3  1\n",
      " -2 -3  2  2 -2 -2 -3 -3  2 -2 -2  4 -2  2  2 -4 -4 -2 -2 -4  2 -2  2  2\n",
      "  4 -2 -2  2  3  2  3 -4 -4 -2 -4  4 -3  2  2  4 -2 -2 -2  4  3 -4 -3 -2\n",
      " -2  2 -4 -3  4 -3  2  4 -2  2  3  3  4 -2  3  4  2 -4 -3  2 -1  2 -4  4\n",
      "  2  2  3 -3  2  3 -4  2  4  2  2  4  4  4 -4  4 -2 -2  4  2 -2 -2  2  4\n",
      " -2 -3 -3  4  4  4 -3 -2 -2  2 -3 -2  2  3 -1 -4 -2 -2  4  2  2  2  4  3\n",
      "  2 -3  2  3 -3  2 -4 -4  2 -3 -2  3 -4 -3 -3  2  3  2  2  2 -2  4 -2  2\n",
      " -2 -2 -2 -2 -2  2  2 -2  4  1 -2 -2 -3  4 -4  4 -2  4 -4  3  2 -2 -3  3\n",
      "  2 -4 -4  2  2 -3 -2 -2  4  4  2 -4  2 -4  4 -2 -2  2 -2 -4 -2  2  4  2\n",
      " -2  3 -2  2 -2  3  3 -2 -3  3  2  3 -2  3 -4  2 -3 -2  2  3 -4 -2 -2 -2\n",
      "  2 -4 -2 -2 -2  2  2  2 -3  2  3  3 -3 -2  2  2  2  2 -4  2 -2  4 -4 -2\n",
      " -3  3 -2  2  2  4  4 -2  4 -4 -3 -2 -3 -2 -3  2  1  3 -2  2 -4 -2 -3 -4\n",
      "  3 -4 -2 -2  2 -4  2  3  2 -2 -2 -2  4 -2 -3 -2 -2 -2 -4 -2 -2 -3  2  2\n",
      "  3  2 -2  2 -3 -3  2  3 -2 -2 -2 -2  4  1  4  4 -4 -2  4  4 -3  2  4 -3\n",
      " -2 -4  2  4  2 -2  3 -4  1 -3  2  4  2 -2  2 -2  1 -4 -2  3 -2 -2 -2 -4\n",
      "  2 -1 -2 -2  4  3  2  2 -2  3  2 -2 -2  3 -2 -2  2 -4 -3  2  2 -3 -2 -3\n",
      "  2 -2 -2 -2  4 -3 -2 -2 -3 -2  4 -2 -4 -3 -2 -2  4  4  2  4  2  3 -2  2\n",
      " -3  4 -4  2 -3  3  3  3 -4  2  2 -2 -4  2  2 -2 -4 -2  3 -4  4  2 -2 -4\n",
      " -2 -4  4 -4 -4 -2 -2  4  2 -3 -3  2  2 -3 -1  4 -3 -2 -4 -3  2 -2 -3 -2\n",
      " -4  3  2 -2  2 -3  2  2  2 -2 -2  2 -2  2  4  2  2 -3 -2 -2 -2 -2  3 -4\n",
      " -2 -2 -3  4  3 -4 -4 -3 -2 -2 -4 -2  2 -3  2  2  2 -2  2 -2 -2 -3 -3 -4\n",
      " -2  3  4 -4  2 -2 -2 -2  2 -4  2  2 -2  2  3 -3 -3 -1 -2 -2  1 -3 -2  2\n",
      "  2 -2  4 -2 -4 -2 -2 -2 -2 -2 -2 -3 -4 -3 -2  3 -3 -2 -2  2  3 -4 -4 -3\n",
      " -3  3  2 -2 -2 -2  2  2  4  2  4  3 -2  2  3  2 -2  2 -2 -2  2 -2 -2  1\n",
      "  3 -2 -3  3  2  4  3 -2 -4  4  2 -2 -2  3 -4  3 -4  4 -2 -3 -3  2  2 -2\n",
      " -3 -2  3 -3 -2 -2  2 -2  2  2  2 -2  2 -2 -4 -3 -2  4 -2 -4 -3 -4 -2 -4\n",
      " -4  2 -2 -2  4 -2 -2 -2  3 -2  4  2  2 -2 -2 -2 -4 -3 -2  4 -2 -2  3  2\n",
      " -2  3  3  2  2 -1  2  1 -2 -2 -2  4 -4  3 -4 -2 -2  3  4  2  4 -4 -2  3\n",
      " -2 -3  3 -3  2  4 -3 -2 -2 -4 -4  2  2 -2 -2  4 -3 -2 -2  2 -2  4 -4  2\n",
      "  1 -4 -2 -3  2  2 -3  3  2  2 -4  2  2 -4 -2  2  2 -2 -2  2  2 -2 -1  4\n",
      "  2  2 -2 -4 -2 -2  4 -2 -2  2 -2 -4 -2  4  2 -2 -4 -4 -4 -2  3  3 -4 -1\n",
      " -2 -2 -2  3  4 -2 -3 -4  3  2 -2 -3 -2 -4  2 -3 -4  3 -3 -4  2 -3  2  2\n",
      " -4  4 -2  1 -4 -2  4 -3  2 -3 -2 -3 -2  3  2 -4  3 -2  4 -3 -3  3 -3  2\n",
      " -2 -1 -3 -2  2  2  3 -2 -4  4  3 -4  2 -4 -3  2  2  4 -3 -4  3  2 -2  4\n",
      "  4 -2 -2  4  3 -4 -2 -2  2  3 -2 -2  3 -2  3  2 -2 -2  4 -2  2 -2 -2 -3\n",
      " -2 -2  3 -2 -3  4 -3 -3  4 -2  2  2 -4  2 -3  4 -2 -2 -2 -2 -2  2 -2  2\n",
      "  3 -3 -2]\n",
      "signal\n",
      "[-2 -2  4  4 -2  4 -1 -3 -4  1 -2 -2 -2  1  2  2  2  2  2 -4  4 -4 -2  4\n",
      " -4  1  4  4  4  1 -1 -2 -2  2  2 -4  3 -2  3 -4 -2  2 -3 -2 -4  4  3  3\n",
      "  2  2  2  3 -4 -4 -3 -3 -4  2  4 -3  4  3  2  4 -1  4 -4  3 -4 -2 -3 -4\n",
      "  1 -2  2  4 -1 -3  4 -3 -2 -3  4  2  3  3  2 -3 -4  4 -2  2 -4 -2  4 -1\n",
      " -2 -2  4  3  4 -3  1 -4  4  3  3  4 -3 -2  2  4 -1  4  3  3 -2  2 -4 -3\n",
      " -2 -2 -3  4  3  2  4  2  4 -3 -4  3 -3  2 -4 -3 -4 -1 -4  2 -2  2  2  4\n",
      " -2 -2 -4  4 -2 -3  4  2 -3  2  2  3 -4 -3 -4  2  4 -4  2  3 -4 -2  4  4\n",
      " -3  1  1  3 -3  1 -1 -2 -4  4  4  2  3  3 -3  2 -2 -2 -4 -1 -4 -4 -3 -4\n",
      " -3 -2 -2 -1 -4  4  1 -2  2 -4 -2  4  4 -2 -4  4  4 -1  1  2  3 -3 -3 -3\n",
      " -3  2  3  3  2 -2  4 -2 -4 -3  4 -2  3 -1 -3 -2  4 -3  3  2  4  4 -4 -3\n",
      "  2  4 -2 -3  3  4 -1  3 -2 -2  2 -4  3  4 -2 -2  4  4 -2 -2  3 -4 -3 -4\n",
      "  4 -2 -1 -4 -4 -4 -3  4 -4  4 -2 -2  3  4  2  3  4 -3 -2 -4 -4 -4  4  4\n",
      " -4  2  4  4  4 -2 -4 -4 -2  3  3  4  1  3  4 -2 -2 -1 -4 -4 -4 -4  4 -3\n",
      " -4  4 -2  3 -3 -1  3 -2 -4  2 -4 -2 -3 -4 -2  2 -1  2 -2  3 -4  1 -4 -2\n",
      "  4  2  3  4  4  3  3 -2  3  1  3  4 -4  4 -3 -4  2 -4  4 -2 -2  4 -2  1\n",
      " -3 -2  1 -1  2 -4  2  4  2  4  3 -2 -3 -2  1 -4  4  2  4 -3  2  4  4  4\n",
      " -2 -2 -3  2 -4  3 -1  4 -3  3  3  4 -2  4 -3 -4 -1 -3 -2  3 -1 -4  4  3\n",
      " -2  1 -2  4  3  2  3 -1 -3 -3 -3  4 -2 -2  1  4]\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/nfs/dust/cms/user/lbenato/anaconda3/envs/run3/lib/python3.7/site-packages/root_numpy/_hist.py:76: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  ROOT.AsCObject(hist), array, weights, return_indices)\n",
      "/nfs/dust/cms/user/lbenato/anaconda3/envs/run3/lib/python3.7/site-packages/root_numpy/_hist.py:76: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  ROOT.AsCObject(hist), array, weights, return_indices)\n",
      "/nfs/dust/cms/user/lbenato/anaconda3/envs/run3/lib/python3.7/site-packages/root_numpy/_hist.py:76: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  ROOT.AsCObject(hist), array, weights, return_indices)\n",
      "/nfs/dust/cms/user/lbenato/anaconda3/envs/run3/lib/python3.7/site-packages/root_numpy/_hist.py:76: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  ROOT.AsCObject(hist), array, weights, return_indices)\n",
      "/nfs/dust/cms/user/lbenato/anaconda3/envs/run3/lib/python3.7/site-packages/root_numpy/_hist.py:76: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  ROOT.AsCObject(hist), array, weights, return_indices)\n",
      "/nfs/dust/cms/user/lbenato/anaconda3/envs/run3/lib/python3.7/site-packages/root_numpy/_hist.py:76: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  ROOT.AsCObject(hist), array, weights, return_indices)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "data\n",
      "[1.0433228  2.424722   1.9159448  0.7837087  1.6429403  2.8443205\n",
      " 0.24114776 1.29902    0.02616048 0.4760704  0.26319677 1.8609143\n",
      " 1.517993   1.5568004  1.7443193  0.90342367 0.33787757 1.0860298\n",
      " 2.3104603  1.2129743  0.09314132 2.8509057  1.1067439  1.3142434\n",
      " 1.249035   2.5447695  0.01372147 2.8837705  1.5178491  2.1058993\n",
      " 3.070685   1.1007334  0.85474503 1.8192551  0.03530717 0.6149021\n",
      " 0.5331558  0.9500452  1.8574368  2.7419791  0.3383602  0.19174528\n",
      " 0.99882007 3.1105328  2.7079182  1.329449   2.6857069  2.31571\n",
      " 0.03487039 1.294556   2.6459138  0.30470943 1.1267122  0.6207035\n",
      " 0.09878242 0.14848873 2.3979363  0.6049107  2.010909   1.3923872\n",
      " 0.578423   0.34061617 1.6570303  1.7294797  2.9803169  1.0028213\n",
      " 3.0559373  1.9855912  1.0945866  2.8239038  2.8153977  0.25300455\n",
      " 1.1622382  1.5822853  2.314903   0.3934688  2.4921768  1.7192494\n",
      " 1.0939038  0.81347346 1.7182056  1.543154   0.04798675 0.5464282\n",
      " 1.3560237  2.3285472  2.1389778  0.6567689  2.7462783  0.12364745\n",
      " 2.5584588  1.258556   0.04496872 1.0418986  1.3824018  1.3333454\n",
      " 0.4187932  0.2114284  3.0411587  1.0407914  2.5971367  2.322354\n",
      " 0.69627553 0.5743475  1.0663378  0.40790355 2.7340646  2.950251\n",
      " 2.3356242  3.0884154  1.5039129  1.941092   1.6270229  2.04112\n",
      " 1.7168756  1.2339696  1.9996896  1.5370382  2.1292746  2.5288546\n",
      " 1.2230473  0.5457611  2.0234451  1.1940078  0.9699563  1.6472118\n",
      " 1.4930229  2.4398057  2.1000845  0.6311934  2.2931273  2.0514772\n",
      " 1.8975646  2.4573812  0.2326405  2.8379862  1.6108062  2.1229844\n",
      " 1.5086976  3.0748255  1.7568196  1.9879451  2.3139389  2.356701\n",
      " 0.04111743 2.9746137  1.3560686  2.995597   0.11361623 3.0548048\n",
      " 2.060657   0.08146578 2.8261137  2.9835837  3.0458856  1.8939844\n",
      " 2.2536445  2.0555513  2.6840599  0.0276053  1.5640574  3.0458674\n",
      " 2.1981087  2.9944546  2.3693068  3.010617   0.45281142 2.592732\n",
      " 0.84319717 1.6585869  2.7736733  2.4668245  0.9090649  2.2562234\n",
      " 2.1741927  2.5752795  1.2230322  1.8982828  2.2079575  0.8579935\n",
      " 1.4422672  2.6864233  1.0875504  2.6482885  2.484894   1.9992847\n",
      " 2.6541016  0.7306402  3.0972788  1.6867003  0.4575836  1.1031371\n",
      " 1.1990604  2.7163036  2.105127   1.2974199  1.4927387  0.07996261\n",
      " 2.7470574  2.7394059  1.1889402  2.9671059  3.115545   0.2922926\n",
      " 1.2987967  2.1364522  2.2651064  0.05235457 1.5373504  1.2689514\n",
      " 2.1409461  0.09508133 0.20789957 1.1332638  2.8589265  2.1943874\n",
      " 3.053204   1.7089523  1.754852   1.7978942  0.40890253 2.1319892\n",
      " 3.1221778  1.6568635  1.4761952  1.5500693  1.6405369  2.6324964\n",
      " 1.699035   2.6877928  0.5698495  1.177701   2.4549172  3.066214\n",
      " 2.1629264  1.8383782  0.5704793  1.6434443  0.55246496 0.04384542\n",
      " 2.238468   1.2036682  0.03521502 3.0877795  0.18818313 1.0608054\n",
      " 2.0080216  0.90373063 1.9388367  2.157039   1.2722207  0.41461092\n",
      " 1.7928001  2.6071327  2.797684   1.7104126  1.1501541  0.3231721\n",
      " 1.5033071  2.3181164  0.25678575 1.5160247  0.34406    0.7970861\n",
      " 1.5553668  1.5116167  0.6109231  3.0519853  0.7050642  2.7486231\n",
      " 0.18069148 0.33762038 1.4945475  1.9639336  1.4698884  2.640268\n",
      " 2.8114166  0.4119178  2.1067052  2.108292   1.5112122  0.75088847\n",
      " 1.4430735  2.3216562  2.52269    2.4671524  1.7083658  0.4730351\n",
      " 0.08110464 0.8717457  0.1997832  1.0562358  0.8256067  1.35642\n",
      " 2.685696   0.36150503 0.5062047  1.7673265  0.8133677  1.0625671\n",
      " 1.1591142  1.4046282  0.29738736 2.162607   0.05496538 0.5353999\n",
      " 2.7172904  2.4019346  0.61810076 0.5885841  0.48810244 2.222126\n",
      " 0.45325455 2.2406104  2.4931474  2.3249664  0.5014318  1.9376078\n",
      " 0.48826063 0.69564855 1.5650526  1.4430592  2.2635686  0.37041867\n",
      " 1.0070685  2.5091074  1.1908675  0.03023839 1.6244254  0.5796232\n",
      " 0.7550833  2.555128   1.1947261  0.62535775 2.3055916  0.44650805\n",
      " 2.8771353  2.8397968  0.00836927 0.54069275 1.3196192  2.802309\n",
      " 2.2510078  1.4269973  2.515727   2.8075588  1.9552693  1.3337524\n",
      " 2.1927052  0.7436268  2.7817438  0.09611249 2.9707735  2.2348466\n",
      " 2.6275156  0.52703965 0.26793933 0.22885108 1.646837   3.100068\n",
      " 1.3582963  2.8073714  1.6169604  0.73868966 1.2097025  2.6877997\n",
      " 0.79289377 2.7040644  2.905735   2.4079866  1.5940006  0.1262899\n",
      " 1.2965977  1.153977   0.63776505 1.0277694  1.8936958  2.3243845\n",
      " 1.6957288  0.06456375 1.8986187  2.9184477  1.48162    2.8238153\n",
      " 0.17505497 2.4561214  1.5449642  1.9387215  1.2616633  1.7958137\n",
      " 0.479003   1.3979051  1.093087   2.4313939  0.6951705  2.2244315\n",
      " 2.4050617  0.64580977 1.9456055  1.2964088  1.3490957  2.9013934\n",
      " 2.932361   0.96780354 3.038084   0.4933344  1.3017325  0.0122565\n",
      " 0.03096604 0.5858806  0.20116186 0.55425    1.9074571  1.4341563\n",
      " 2.7857804  0.960135   1.376579   0.08558722 1.4363627  1.252858\n",
      " 1.346851   0.43944144 2.6079996  1.6735896  1.6259308  2.235544\n",
      " 1.2613862  2.4237938  1.0996189  1.7639931  2.6503072  0.38837695\n",
      " 1.5554626  0.86569124 3.0490506  0.42127872 2.5702548  0.49366754\n",
      " 3.0149722  0.7352898  0.603768   1.1510595  0.06744242 1.9554977\n",
      " 0.04119587 0.9477994  0.6278858  1.3544023  1.6418229  1.4700353\n",
      " 1.1148602  1.1416353  0.26553774 1.5923209  2.8093348  2.781581\n",
      " 0.8607071  1.9501145  2.0118434  1.7825756  1.9058956  1.846978\n",
      " 2.567109   1.4954617  0.7396064  2.1372468  1.6822371  1.8773826\n",
      " 0.24070072 0.6661526  0.41843456 1.0004594  0.70628095 2.73895\n",
      " 1.2475101  0.5549472  2.14301    1.700768   1.1656889  1.9879961\n",
      " 1.552432   0.9238237  0.13630342 1.6784903  0.9474333  2.8322463\n",
      " 0.14900208 0.28240228 2.1707144  2.5123515  2.6569188  2.980454\n",
      " 2.3708863  2.1597908  1.5506532  2.5581398  0.72395086 2.6934474\n",
      " 2.1165051  2.7583342  2.2515614  3.1375048  2.198877   2.5109324\n",
      " 1.459441   0.27685142 3.0580719  2.1810806  1.3886392  0.57836944\n",
      " 3.0242326  1.9771575  2.6384962  2.990677   1.1830403  0.9790732\n",
      " 1.5969061  2.9584727  1.4345981  2.118956   2.7525854  2.7066283\n",
      " 1.8447874  0.607013   2.246764   0.16496766 1.0934275  2.3759222\n",
      " 0.01427674 0.83396536 2.8754082  2.1753693  0.6706097  0.559885\n",
      " 2.6290545  1.1242745  0.22343951 0.7138364  2.8235297  2.0329483\n",
      " 1.4929855  2.2070892  2.76786    0.9545761  1.2976269  1.8907901\n",
      " 0.53085124 1.7513722  1.5750328  1.8105649  1.2053488  1.487919\n",
      " 0.6225264  1.4792604  1.1716017  1.6304847  2.484721   1.306741\n",
      " 2.3564868  2.1456664  0.63578606 1.4597911  2.3178484  0.37127864\n",
      " 2.1301227  2.0495982  2.6865616  1.6113033  2.227003   2.832992\n",
      " 2.1731846  2.6090906  0.05470192 2.154541   2.861618   2.9728465\n",
      " 0.34556925 2.0040464  1.0027137  1.7315993  0.74368995 1.4249889\n",
      " 1.0893981  0.69431007 1.9439031  2.6821456  2.5132828  1.2617952\n",
      " 0.16282105 1.9956625  1.7450571  2.4504297  0.82399607 1.1811446\n",
      " 3.0827901  1.679277   0.33965856 1.8650296  2.3298416  0.08511209\n",
      " 1.9202961  0.7749624  3.0925765  2.8600895  0.5009506  1.3291172\n",
      " 1.3381222  1.4403926  1.801301   0.46598345 0.74195045 3.1220767\n",
      " 0.64623046 2.7637224  3.029948   0.9164169  0.5480597  0.7976345\n",
      " 2.4788017  0.904516   0.95455086 2.3618712  2.2752218  0.6379849\n",
      " 1.0658166  1.27814    1.6923251  2.562112   0.04337955 1.6277106\n",
      " 0.13026595 1.474319   1.2248129  1.7571008  0.5545338  3.005385\n",
      " 0.45798945 1.4680272  1.1600531  0.28016448 2.335595   2.878319\n",
      " 1.1004257  1.0747631  1.6538215  0.45089805 2.128695   2.2374694\n",
      " 1.2791095  1.7115761  2.6520894  2.7888412  1.0480918  2.7566888\n",
      " 2.4752164  2.0148735  0.09602439 2.023255   3.103616   0.0471983\n",
      " 0.71093154 0.0866909  0.99797046 0.9062521  0.3690775  1.7125436\n",
      " 2.4646573  1.5071117  3.0421197  2.3052394  0.06479931 2.2423449\n",
      " 0.4467032  1.6610308  0.30979872 2.9212961  2.563949   2.12287\n",
      " 0.538355   1.4618692  1.3201337  2.2257938  2.5250041  0.90008044\n",
      " 2.955677   0.17924047 0.7145262  0.26351023 2.781557   0.39266312\n",
      " 0.24867916 1.7479441  0.5110152  1.6469665  1.147068   1.1091049\n",
      " 0.99721533 2.6565795  2.117043   2.787335   0.5418397  0.28497797\n",
      " 2.8339143  2.0906541  1.3944911  0.58184075 1.0467747  0.7628004\n",
      " 1.971465   2.3702426  1.5797477  0.4425534  2.120176   2.9073749\n",
      " 1.5294366  1.4976605  2.3330977  2.5907423  1.8920574  0.7407849\n",
      " 0.21610576 0.6663593  1.661904   2.193455   2.696044   1.3510425\n",
      " 2.2389526  1.4605219  1.4416246  3.0314693  2.1230018  0.1553843\n",
      " 0.3525114  1.7628001  0.763165   2.4178205  1.4141365  0.17845893\n",
      " 3.0617774  1.256745   1.6466919  2.7339988  2.204621   2.3318026\n",
      " 1.63391    2.890832   1.1585082  3.1212642  1.021572   0.5070981\n",
      " 2.4994104  2.588986   1.6911372  0.0979352  1.2091326  1.6283219\n",
      " 1.4141259  1.0521541  2.3604279  2.1265354  2.5523043  0.04580045\n",
      " 0.04224551 1.739399   0.548043   0.25969756 0.82245415 1.8213943\n",
      " 1.5711818  0.2956494  1.3893933  2.158013   2.5818772  1.8514829\n",
      " 0.50722575 2.026676   2.0272617  1.7026757  2.8503416  1.6606464\n",
      " 2.113461   0.8993244  1.9231193  1.964484   3.0983486  1.059419\n",
      " 1.8282574  2.833831   1.0907367  0.18859649 3.0052147  1.563764\n",
      " 3.0159402  2.4118025  2.75522    1.8431727  0.68026173 1.8349897\n",
      " 1.6740603  0.67176104 2.427719   2.5005429  0.26929379 1.1458142\n",
      " 0.08182997 2.6234124  1.136451   1.0862335  0.38067007 2.91433\n",
      " 0.39683533 2.818112   2.9069057  1.8818071  0.6599215  0.4540099\n",
      " 1.7085654  0.95892996 2.7735534  2.1030033  1.669693   2.1862612\n",
      " 1.8621408  1.3275844  2.237301   2.5761163  2.646926   0.746687\n",
      " 1.3149166  0.01283431 0.24094795 2.1413424  1.6734914  0.06182909\n",
      " 0.5520037  0.8526788  2.0620701  0.36867884 0.7767114  1.2667485\n",
      " 1.8784055  1.5622033  0.7922617  1.8307142  0.09577206 1.1911876\n",
      " 1.6575252  2.4850428  2.312019   0.12787426 1.3159245  2.354054\n",
      " 1.5570222  0.21954012 2.8427937  3.098998   0.9933374  1.6652058\n",
      " 3.0039432  2.6525726  2.3888414  1.7412988  1.9137086  2.0908635\n",
      " 0.94337153 1.4014521  2.483115  ]\n",
      "signal\n",
      "[1.2433342  1.8729099  0.12585104 0.75949323 2.4004946  0.61324334\n",
      " 0.57856274 1.7431693  2.0570192  0.22552103 0.6518331  1.8600253\n",
      " 0.74883485 0.73556834 1.5493447  1.6348577  1.7415435  0.60993636\n",
      " 0.10176349 0.39314273 0.58920634 1.0003809  0.01839697 0.25446385\n",
      " 1.0796857  0.15559387 2.6740658  0.93330324 1.3844337  2.6193848\n",
      " 1.415502   0.77666426 2.7993288  0.06007969 0.8482269  1.8392421\n",
      " 0.8994886  1.9812565  1.1069888  1.6796377  1.1361698  0.7134796\n",
      " 1.9153142  0.4513361  1.7358253  0.5784932  1.6886551  1.6997609\n",
      " 1.5993862  1.445144   0.96401596 0.4738344  1.1171589  1.5583434\n",
      " 1.7394855  0.78131056 0.25537324 1.3957279  1.6758057  0.3365276\n",
      " 0.42839736 1.465174   0.39768118 0.34958363 0.78937054 1.1547858\n",
      " 0.60990995 1.4305177  0.36007118 0.5055235  1.2821583  0.8289714\n",
      " 0.6426258  1.1277012  0.26054913 1.601834   0.50894594 0.7891339\n",
      " 0.13763416 1.7072768  1.4683605  0.5528083  0.8281638  0.8422437\n",
      " 1.6947378  1.2856668  0.96595746 1.0447166  1.9996799  1.213512\n",
      " 1.0688455  1.5595905  0.71020913 1.1239916  1.2574179  1.5246891\n",
      " 0.8241513  1.6075342  0.7982836  1.5234927  0.6868704  1.5451556\n",
      " 0.39933443 1.4505056  1.363713   1.5543805  0.95225704 0.9561373\n",
      " 1.3246961  1.4645821  1.757719   0.01509678 0.6831694  2.5379126\n",
      " 0.00287956 1.9390215  1.7214235  0.01891923 0.39508855 0.6422904\n",
      " 0.29855084 1.3799149  1.4431663  1.5048559  1.9486785  0.7613444\n",
      " 0.91124713 1.4414873  0.99879575 1.5995178  0.9480132  2.4301076\n",
      " 0.64023954 1.7234645  0.03702319 0.7377819  1.4393417  0.9034081\n",
      " 0.774016   0.42120826 0.75510406 0.89144194 1.3497647  0.5662843\n",
      " 0.8865785  1.0333726  1.279969   1.2913637  0.26374727 1.651236\n",
      " 0.53806794 0.69752765 0.44020236 0.52261305 1.320542   2.2542868\n",
      " 1.6117412  1.9490118  1.1932378  1.9634467  0.9811321  1.6645806\n",
      " 0.7459322  0.6840025  1.2637293  0.6386528  1.8543715  1.5742356\n",
      " 1.3384131  0.89289105 1.0974635  0.927508   0.8821996  1.1675729\n",
      " 0.9394141  0.9858271  2.7923212  1.0536622  1.1391733  0.7250239\n",
      " 1.2189509  1.7196567  1.0717417  0.8545283  1.7003379  0.40979505\n",
      " 0.3652795  1.0841049  0.40859175 2.2355502  1.3645664  1.9020563\n",
      " 1.600889   1.9776515  0.47539318 0.96538556 0.8214515  0.454049\n",
      " 1.164108   0.98112917 1.5532192  0.90395415 0.65951836 1.5564507\n",
      " 1.0000583  0.4685738  0.66272885 1.4457589  1.1674973  1.7545025\n",
      " 1.4837883  1.9012966  1.8860335  1.3177509  0.23344982 1.9565035\n",
      " 0.5672964  0.06153107 1.3229582  1.1514949  2.505676   1.015341\n",
      " 1.7691264  1.3181713  0.49174964 0.7874149  1.0231998  0.14096403\n",
      " 1.5792912  1.3348724  1.600435   1.9885668  1.4356483  2.0285263\n",
      " 0.82974774 1.4531426  0.76810265 0.19831377 0.62715536 1.75659\n",
      " 0.8550248  2.3656483  1.1592227  0.6194981  1.9195148  0.92342424\n",
      " 0.32455778 0.37506485 1.3945881  0.7303679  0.6594296  0.52584624\n",
      " 1.3362759  0.29624516 0.3214804  2.00162    1.5231371  1.2281058\n",
      " 1.5671989  1.1202427  0.7526318  1.497188   1.3113183  1.1863165\n",
      " 1.0526537  1.4274315  2.3753242  1.2866697  1.0426103  1.2318572\n",
      " 1.3228427  1.0482887  1.4508469  1.4099779  1.2763484  0.82501256\n",
      " 1.0065535  1.1627189  0.44072998 0.7464738  0.29649448 1.520604\n",
      " 0.877689   1.0991968  0.9350456  1.480722   0.53078365 0.38894945\n",
      " 0.40045083 0.28160143 0.7642795  0.91596603 1.8613997  0.9248689\n",
      " 2.16357    1.749382   1.3291706  0.6597283  0.70570326 0.41338944\n",
      " 1.8176825  0.8502233  1.5724314  1.6348194  0.14481854 0.16597395\n",
      " 1.6770332  1.4094075  1.818484   1.921425   1.2580878  0.46020865\n",
      " 1.4748006  1.1252862  0.5476513  0.5253659  0.01573026 1.0302162\n",
      " 1.7086544  1.3767116  1.0613968  0.43141693 1.499945   1.0621858\n",
      " 2.3554897  1.1908743  0.51820827 1.9182018  1.3571349  0.8504975\n",
      " 1.3218488  1.3368886  1.2582868  1.2308317  1.6905262  1.4325145\n",
      " 1.1126814  1.3771938  0.93210614 2.5553303  1.5133784  2.10499\n",
      " 0.16929913 1.0922489  0.22215867 0.7570694  0.60474724 0.83179843\n",
      " 1.2871029  0.3877871  2.0153978  1.2948318  0.674217   1.2432398\n",
      " 1.6718913  1.7733593  1.2325755  0.9677815  0.9772877  0.40968513\n",
      " 0.334616   0.7892451  2.1442442  0.75711006 0.88152146 0.30268717\n",
      " 1.9641353  0.61590743 0.5615567  0.33842438 0.8192242  2.7722652\n",
      " 0.9688763  1.0505532  1.9887878  0.6522516  1.4480176  1.4703382\n",
      " 2.0332808  0.8922811  0.8557331  2.076389   2.619634   0.579204\n",
      " 0.8860217  0.3062926  2.176492   0.17007434 0.15318179 0.26263383\n",
      " 1.3682585  1.2276634  1.5190142  1.2494217  1.9348104  1.3735607\n",
      " 1.1856788  1.8868896  2.0404704  2.5071568  0.5835918  2.494416\n",
      " 1.3277372  0.87453175 0.07366663 1.4097635  1.1757977  1.0606734\n",
      " 0.36278725 1.138748   1.389343   0.3427638  0.8330576  0.34012735\n",
      " 0.18493104 0.9922315  0.47601223 1.8985177  2.3426843  0.96887445\n",
      " 0.41603422 0.6392249  1.4699101  0.37796578]\n",
      "data\n",
      "[2.42488337e+00 4.53499317e-01 1.61184371e-01 1.33105278e+00\n",
      " 2.13155299e-01 1.79110384e+00 2.54480171e+00 2.57125187e+00\n",
      " 1.31760669e+00 2.47584486e+00 1.57683730e+00 6.58797801e-01\n",
      " 1.84452772e-01 5.69820404e-05 1.44288778e-01 2.24239922e+00\n",
      " 2.78027844e+00 3.02876854e+00 6.51406288e-01 6.08301222e-01\n",
      " 1.47465527e+00 1.27205002e+00 9.41239595e-02 2.70917702e+00\n",
      " 3.32532644e-01 2.28268194e+00 1.24670005e+00 1.48696196e+00\n",
      " 2.73510861e+00 2.74057555e+00 1.54474306e+00 2.87796497e+00\n",
      " 2.82376766e+00 4.23948705e-01 1.63598073e+00 1.99251986e+00\n",
      " 8.79718840e-01 2.93381214e+00 2.73986053e+00 1.50765824e+00\n",
      " 1.10161602e+00 2.62558508e+00 2.48179913e+00 1.70274806e+00\n",
      " 9.08966541e-01 2.91392803e+00 1.94946766e-01 3.77666801e-02\n",
      " 2.42946625e+00 1.03884590e+00 2.17667127e+00 2.06144667e+00\n",
      " 3.88533831e-01 1.40617609e+00 2.06910110e+00 1.48016655e+00\n",
      " 4.36998129e-01 6.78142309e-01 3.01809168e+00 8.20351243e-02\n",
      " 2.12605882e+00 9.52236772e-01 3.10998797e+00 2.63828325e+00\n",
      " 1.93650413e+00 9.29754317e-01 1.66913998e+00 2.01223803e+00\n",
      " 2.94938326e-01 1.42268384e+00 2.23131943e+00 1.51849127e+00\n",
      " 2.98566127e+00 1.53802872e-01 1.57319415e+00 1.80398822e+00\n",
      " 2.09856319e+00 1.86715364e-01 2.70292258e+00 4.31808352e-01\n",
      " 2.93045282e-01 6.88913584e-01 1.25863016e+00 9.79754984e-01\n",
      " 2.67622590e+00 8.64382803e-01 8.30798388e-01 5.70542037e-01\n",
      " 1.14725530e+00 1.47605848e+00 9.62018967e-02 2.13810563e-01\n",
      " 1.27164149e+00 2.94419241e+00 7.35485554e-02 2.59293127e+00\n",
      " 1.12221599e+00 2.22439933e+00 1.01528227e+00 1.35622883e+00\n",
      " 1.49462199e+00 2.68427134e-02 2.00435066e+00 9.73100781e-01\n",
      " 2.98991966e+00 1.19422066e+00 6.53136611e-01 6.74225211e-01\n",
      " 4.80544120e-01 1.86111820e+00 2.46824098e+00 2.94597936e+00\n",
      " 2.83032942e+00 3.01711059e+00 2.31117010e-01 3.05819893e+00\n",
      " 5.91833353e-01 2.22511709e-01 1.93351805e-01 2.31200337e+00\n",
      " 2.63508964e+00 2.65680265e+00 1.78109634e+00 2.88147116e+00\n",
      " 5.03496766e-01 3.00144124e+00 3.12637854e+00 8.36451769e-01\n",
      " 2.82721758e-01 2.09584427e+00 8.86675119e-01 1.78645432e+00\n",
      " 1.75211906e-01 1.16504431e+00 2.02880859e+00 2.01590872e+00\n",
      " 3.96892309e-01 3.75322223e-01 5.72467566e-01 8.94362330e-01\n",
      " 2.33570375e-02 8.45508575e-02 7.43597746e-01 2.44321537e+00\n",
      " 1.90669382e+00 1.06299007e+00 7.65126705e-01 1.23395622e+00\n",
      " 1.43071854e+00 1.18601966e+00 2.88804030e+00 2.38769722e+00\n",
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      " 3.08584499e+00 7.66238213e-01 7.99482822e-01 2.74209738e-01\n",
      " 2.62827587e+00 2.67579615e-01 7.27072954e-01 2.29753542e+00\n",
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      " 1.83530986e+00 6.88098192e-01 1.12335443e+00 2.08951235e-01\n",
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      " 2.21965504e+00 2.24452162e+00 1.42847788e+00 2.31108618e+00\n",
      " 5.65331221e-01 4.13127422e-01 1.66291034e+00 1.02500129e+00\n",
      " 2.21559477e+00 7.38087952e-01 1.69466615e+00 8.11443567e-01\n",
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      " 7.38332629e-01 4.87936080e-01 3.02511573e-01 2.02294087e+00\n",
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      " 2.66921329e+00 2.49316740e+00 1.87859285e+00 2.91846216e-01\n",
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      " 1.94023454e+00 1.22900832e+00 1.08985186e+00 1.51582634e+00\n",
      " 9.26075578e-01 4.02294874e-01 9.30192530e-01 2.91795945e+00\n",
      " 2.73097801e+00 7.36270964e-01 2.87491107e+00 1.17643797e+00\n",
      " 2.46113515e+00 1.38835442e+00 1.49957883e+00 3.07633638e+00\n",
      " 2.06333899e+00 5.38939238e-01 1.71512568e+00 2.39207339e+00\n",
      " 2.60773396e+00 1.68699694e+00 2.27982688e+00 1.08650291e+00\n",
      " 2.76947689e+00 2.94011831e+00 2.87136579e+00 2.35629392e+00\n",
      " 1.66586506e+00 3.06489944e+00 1.71094680e+00 2.14804545e-01\n",
      " 1.88513756e-01 2.25405431e+00 8.60142827e-01 8.24309170e-01\n",
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      " 8.82601738e-03 1.40372002e+00 2.38027143e+00 1.40846872e+00\n",
      " 5.44818878e-01 1.19689500e+00 2.49084282e+00 2.31570220e+00\n",
      " 1.52722001e-02 2.28761101e+00 9.77266371e-01 3.62181783e-01\n",
      " 1.26201904e+00 1.39080679e+00 2.22859073e+00 3.97693157e-01\n",
      " 1.56646550e+00 2.53663254e+00 1.40064168e+00 1.63253367e+00\n",
      " 2.43730998e+00 1.67908525e+00 2.42863297e-01 2.99621725e+00\n",
      " 1.04775214e+00 3.51849556e-01 1.88762641e+00 3.53881180e-01\n",
      " 1.96885228e+00 9.32253361e-01 1.54361463e+00 2.27709627e+00\n",
      " 2.01507187e+00 3.13976598e+00 1.67772484e+00 5.79807341e-01\n",
      " 7.50471354e-01 6.14633799e-01 2.00768661e+00 2.46570602e-01\n",
      " 4.49954033e-01 1.59687519e-01 9.89459038e-01 2.88817644e+00\n",
      " 5.14443636e-01 2.13579512e+00 1.78422403e+00 1.51802182e+00\n",
      " 1.07508898e+00 9.49854314e-01 1.71822643e+00 2.96329975e+00\n",
      " 7.11534262e-01 2.94497585e+00 2.39700651e+00 2.48693538e+00\n",
      " 2.37957865e-01 2.36289477e+00 2.50637627e+00 1.27686179e+00\n",
      " 1.85859215e+00 1.29313755e+00 2.03435969e+00 1.97000372e+00\n",
      " 2.75550246e+00 1.22036517e+00 5.30689240e-01 1.03795695e+00\n",
      " 1.85862613e+00 2.56178808e+00 1.40492678e-01 1.77522266e+00\n",
      " 1.22961223e-01 1.05135739e+00 2.33929682e+00 3.72160077e-01\n",
      " 1.58548498e+00 1.16990709e+00 4.27985191e-02 6.64266407e-01\n",
      " 1.02774477e+00 2.71468711e+00 3.98264587e-01 9.30641472e-01\n",
      " 2.33487177e+00 5.29708147e-01 7.25411415e-01 2.40074813e-01\n",
      " 2.74993658e+00 1.80369735e+00 1.96970749e+00 1.32524908e+00\n",
      " 9.63866055e-01 1.38998032e-02 1.62565279e+00 3.75821590e-02\n",
      " 2.63712716e+00 2.57131338e+00 1.29344690e+00 2.79964137e+00\n",
      " 2.37880445e+00 6.87969506e-01 2.81585431e+00 1.96784258e+00\n",
      " 2.25618362e+00 1.58612633e+00 2.64867282e+00 1.18966615e+00\n",
      " 2.53413987e+00 1.99870741e+00 2.57653451e+00 1.21331787e+00\n",
      " 7.23672390e-01 1.84367025e+00 2.26544023e-01 3.89926195e-01\n",
      " 6.79882407e-01 3.03761506e+00 1.15654135e+00 7.73535967e-01\n",
      " 1.12916732e+00 1.39959729e+00 2.20658541e+00 6.07315302e-01\n",
      " 2.05764866e+00 2.32803059e+00 2.04576707e+00 5.45629084e-01\n",
      " 2.62124777e+00 9.34456706e-01 1.55530334e-01 2.49931717e+00\n",
      " 1.26040018e+00 4.73395586e-01 8.51241887e-01 5.11495590e-01\n",
      " 6.15719557e-01 2.79970169e-02 2.01984978e+00 2.25269294e+00\n",
      " 2.73767447e+00 1.33991134e+00 2.65879703e+00 4.14596200e-02\n",
      " 1.28713393e+00 7.85716414e-01 1.43379450e-01 1.03689694e+00\n",
      " 2.52712202e+00 1.85989475e+00 1.53481436e+00 3.11349869e+00\n",
      " 1.43347824e+00 1.00656986e-01 1.43555355e+00 2.48451328e+00\n",
      " 3.11477542e+00 3.22882652e-01 2.98833537e+00 2.42798066e+00\n",
      " 2.20839143e-01 2.44166970e+00 1.68473685e+00 1.03416789e+00\n",
      " 2.05758333e+00 1.27242458e+00 3.01672578e+00 5.98793864e-01\n",
      " 9.00058329e-01 1.40278983e+00 1.59712946e+00 1.87552559e+00\n",
      " 1.38752937e+00 2.74886179e+00 1.34010732e+00 2.19621921e+00\n",
      " 2.97438562e-01 1.20552611e+00 9.09635544e-01 2.13855410e+00\n",
      " 2.34163380e+00 7.12179184e-01 1.28273964e-02 1.22044742e-01\n",
      " 1.96861577e+00 1.52566862e+00 1.42568409e+00 1.23547554e+00\n",
      " 2.62068009e+00 1.64328754e+00 2.56542230e+00 2.44870472e+00\n",
      " 1.39333472e-01 1.35567677e+00 7.54551411e-01 2.65306830e+00\n",
      " 2.33156753e+00 1.68284249e+00 2.85080528e+00 3.59170318e-01\n",
      " 5.29503107e-01 8.23237300e-01 2.18820596e+00 9.72986221e-02\n",
      " 1.30717015e+00 2.80578494e+00 1.31609917e-01 1.89374614e+00\n",
      " 2.50085330e+00 1.11064279e+00 2.57849479e+00 9.03317332e-01\n",
      " 2.67010570e+00 1.57074535e+00 1.51958632e+00 1.68517935e+00\n",
      " 2.31631064e+00 1.42729282e-02 1.63287544e+00 1.29220200e+00\n",
      " 2.63247561e+00 2.06010437e+00 5.12989879e-01 2.67916846e+00\n",
      " 2.54988813e+00 2.85225010e+00 1.73804164e-01]\n",
      "signal\n",
      "[0.2704649  0.6200249  1.6702176  1.4206555  0.07612724 1.6800324\n",
      " 1.5024414  0.12726629 0.29329467 1.4924078  1.2143122  0.20856738\n",
      " 1.3044597  0.5201498  0.81976414 0.72277266 0.7095028  1.2150857\n",
      " 1.6451892  1.7351242  1.1669708  0.7156066  1.8303689  1.0491148\n",
      " 1.3103247  2.255185   0.2627238  1.4022667  0.16772106 0.31536713\n",
      " 0.68875754 0.60280377 0.37370676 2.421103   0.88593125 0.1946187\n",
      " 1.2272744  0.45609426 0.3549056  0.5156243  1.1268998  1.4411223\n",
      " 0.03361464 1.3838406  0.3855676  1.4398724  0.4892565  0.77094185\n",
      " 0.73384315 0.7483729  1.1680974  1.892711   0.7669269  0.8552683\n",
      " 0.6047159  0.8665072  1.9222187  0.4754145  0.34525472 2.7219043\n",
      " 0.9971857  0.92424273 1.019881   1.4532052  0.76606905 1.1212468\n",
      " 0.6423062  0.85060143 1.2850451  1.6036687  0.8519239  1.2155026\n",
      " 1.6767837  0.8971281  1.0420214  0.7090533  1.8138344  0.82773066\n",
      " 2.1441774  0.10871124 0.1648705  1.7633876  0.9047365  1.5745069\n",
      " 0.71507156 0.83364683 0.8773066  1.4026752  0.34894598 2.7431364\n",
      " 0.8573281  0.59306943 1.4891411  0.13046074 0.14883241 0.5129533\n",
      " 1.4023236  0.3976022  0.9525287  0.8351873  1.46415    0.11369288\n",
      " 1.6126033  0.35433865 0.8098335  0.4818542  1.4861046  0.34548652\n",
      " 1.0935048  0.97943145 0.4745246  1.7925198  0.7919785  1.3315357\n",
      " 2.4219472  0.12047446 0.7230685  2.1973984  1.6785787  1.7171075\n",
      " 2.0657694  2.6539612  0.5938754  0.9446112  0.12264466 0.68975914\n",
      " 0.8094819  0.92565024 1.430097   0.46894765 1.3774815  0.15852475\n",
      " 1.8464732  0.2990451  1.3376375  0.70560706 0.97352946 0.6575266\n",
      " 0.6576232  2.0146961  1.0027605  1.2850788  0.8399854  1.6848739\n",
      " 0.395305   1.3307973  0.92471915 1.1006073  1.3494556  0.67448914\n",
      " 1.7943676  1.3561401  1.8753467  1.0581877  2.6171637  0.11584389\n",
      " 0.81557035 0.51640344 0.29129648 0.2314874  2.806334   0.444561\n",
      " 0.6207445  1.3428344  0.7898061  1.1135334  0.47128952 0.55265236\n",
      " 0.49188167 0.7406992  0.9300407  1.0501643  1.1890897  0.85551465\n",
      " 0.56173253 0.4952891  1.2524962  1.2835395  1.0281675  0.82537615\n",
      " 0.11839414 0.6323327  1.1902844  1.040234   0.6048011  1.592107\n",
      " 1.9033134  1.4124615  1.8892864  0.24049044 0.5888562  0.4694121\n",
      " 0.634918   0.47966802 1.7382418  1.0830387  0.38920164 1.0406055\n",
      " 0.18218255 0.69092894 0.60511756 0.34374738 1.2129935  0.8710654\n",
      " 1.4370251  1.917985   1.4623971  1.0267363  1.1389399  0.2770568\n",
      " 0.9600705  0.46457043 0.5770882  1.001731   1.9489324  0.22400069\n",
      " 0.6760445  1.4590777  0.41445374 1.240295   0.0142917  0.45045507\n",
      " 0.6456648  0.24723706 1.8184613  0.9229157  1.0315224  2.3553698\n",
      " 0.55738163 0.80277973 0.7375591  0.46138763 0.84507143 0.23928523\n",
      " 0.8070437  0.45661998 1.248115   2.1421156  1.0490804  0.18085003\n",
      " 1.449969   0.13551968 1.1963657  1.0056686  0.5517288  0.493788\n",
      " 1.6353586  1.7968826  1.1025858  1.2697049  1.8081429  0.72814524\n",
      " 0.5444199  1.2648338  1.5120585  0.34523082 0.7702609  0.23883486\n",
      " 0.7664272  1.2199789  1.1068672  0.5260227  0.7570898  0.76051354\n",
      " 1.3792626  0.728418   0.00942373 0.5541892  0.9398644  0.18530536\n",
      " 0.25416887 0.36186242 0.69729495 0.95956075 0.98811054 1.288499\n",
      " 0.3370613  0.13723132 1.8095503  1.0737141  1.8637773  0.7583158\n",
      " 1.3161852  1.1868834  0.808607   0.8814441  0.8595608  1.373758\n",
      " 1.3991542  1.8389544  0.72333634 1.2215488  0.3537925  0.61008334\n",
      " 0.25958002 0.39530277 0.55818355 1.39731    1.1999971  1.3571327\n",
      " 0.59670264 0.72475076 0.8768132  0.22953367 2.2248464  2.051982\n",
      " 0.7374532  0.5563233  0.4535904  0.24544168 1.120322   1.6583705\n",
      " 0.5746761  1.3181999  1.889951   1.8698783  1.4643122  1.1887606\n",
      " 0.20273232 0.91270554 1.3291862  1.975611   2.3452816  1.2897081\n",
      " 0.06497022 1.0205851  1.7595793  0.46963125 0.88677716 1.5698767\n",
      " 0.61006033 0.75094545 1.0384419  0.65444016 0.13409895 1.0616616\n",
      " 0.42079735 0.9184315  0.89133716 0.20475197 0.47075754 0.3539322\n",
      " 2.3835096  1.0642493  2.720662   1.2794452  1.7978597  0.6361306\n",
      " 0.9197098  1.7260936  0.3517797  0.30631554 1.5464599  1.2008946\n",
      " 0.28959966 0.70906913 0.63932997 0.6583211  0.3468614  2.0310965\n",
      " 0.8814758  1.6998162  0.09599698 1.0602545  1.5436764  2.1494622\n",
      " 0.4077115  0.80509186 1.7042799  1.3018451  1.4720925  0.41547966\n",
      " 0.23117416 1.4436417  0.07185423 1.3892055  0.15042758 0.714094\n",
      " 0.35384035 1.5136727  1.3116957  0.39826292 0.15395772 1.4545026\n",
      " 1.1282148  2.1955538  0.18025649 1.4139917  1.3014456  2.1182883\n",
      " 0.300869   0.8186294  0.9572115  0.7314644  0.33578467 0.6622813\n",
      " 0.9953507  0.16852725 0.16456324 0.04510224 0.9368792  0.01395044\n",
      " 0.7070535  0.82374114 2.3931456  0.37512058 0.8157576  1.2758678\n",
      " 2.013956   0.9241619  0.72055554 1.3977251  1.3351325  2.6564898\n",
      " 1.1313951  1.3622493  1.6966292  0.20215893 0.13344407 1.493825\n",
      " 2.0616436  1.7535393  0.5836401  2.0144773 ]\n",
      "data\n",
      "[ 111   62   53   54  291   96   50  273  627   59  697  240  174  408\n",
      "   66   54  206   97   83   51  251   52  700  130   57  245   51   69\n",
      "   56  260  647   74   64  251   69   50   73  526  127  322  305   70\n",
      "   87   55   79  375   64   52   59  209   64   72   85   66  323   73\n",
      "   57   59   50   53   50  108  162   56   54   62  129   53  382   83\n",
      "  153   66  102   59   69 1053  197  232   84  152   58   64  252 2867\n",
      "  105   67  414   94   57  144  364  221  116   81  151   89   61   81\n",
      "  412   92   59   92  261   53   83  359  227  281   51   62  148   85\n",
      "  826   98  470   84   83   57   88   56   51   87  124   51   56   69\n",
      "   79  534   63   66  327   57   86   54  146   62   79  278  155  109\n",
      "   52   88   56   59   74  229   60   79  157   53  225   76   66  399\n",
      " 2779  223   89  958   59   53  528   77   58  223   80   73   72 2365\n",
      "   57   52  281  114   64   50   52   54   68   64   66  315  652   70\n",
      "   59  166   86  205   57   57   58   52   57   72  108   68   51   54\n",
      "   52  278   90   78  105   55   87   52   50   55  115   62   50   50\n",
      "   59   59   52  429  246   67   80   54  255   62   56  117  308   81\n",
      "   83   58  260  692   69   60  386   51   58   62  130  482   57   77\n",
      "   50   79   71   68   52  101  137   54   54  684  179   63   77  184\n",
      "   55   64   65   67   63  144   76   57   80   55  387   67  118   88\n",
      "   65   75  173   63   55   98   51   64  560   71  909   53   56   53\n",
      "   70  144  294  114  112   80  329   62  213  278  747   51   68  120\n",
      "   56   86  117   57   50   58  125  131   52   50  110   85   69   51\n",
      "   74  118  207   64   56   68  121   54   65   64   69  305  148   80\n",
      "   56   57   54   67   82   63   51   59   72  160   55  359   85  253\n",
      "   69   71  153  906   87   59   64  654   55   53   81   61  173   73\n",
      "   66   56  193   80  137   69  385  107   72  155  389   71   77   80\n",
      "   59  167   67   62   59  272   92   51   68   91   56   78   67  383\n",
      "  102  104   58   62   62   65   61   77   62  193   73 2044   52   75\n",
      "  438 1187   92   51  200  638   82   54   92  246   50  101   58  110\n",
      "   68   85  127   84   92   52  141   64  201  115   63   70  114  434\n",
      "  719   69   83 2322   93   61  353  186   53   54  211   83   81  116\n",
      "   83  112  463   76  116   70  239  234   77   69   53  396   56  128\n",
      "   59  106   64   72   58   52  138   54   61   72  112   53  119   51\n",
      "  384   51  151  253   57   68   51   57   88   59   62   55   53   59\n",
      "   53  100   58   50  212   57   52   57   83  111   95  635   50   52\n",
      "   56   76  118  105  198  298   59   60   50  232   73   52   60  254\n",
      "   56   93  169   55   56   67   56  101  120  191  104  163  235   91\n",
      "  190   66 1912  106   54   85   74  137   67   54   58   53   56   50\n",
      "   63   60   56 1231   84  149   52  131   94  425   63  459  345   56\n",
      "   58   54  257  147  102   60  126   51   57   60  127  435  102  108\n",
      "   62   57   94  106   62   72  123   78   52   50  100  109   52   67\n",
      "   68  247  512   72  311   91  103   60   76   67   53  272   60   60\n",
      "  113  158  547   54   63   65   50   54  262   82   68  123   51  115\n",
      "  180  101   51  444   74   96   60   75   60   52   53  255  260   90\n",
      "   74   61   52  103   84  178   66  135  209   52  105   62  428   58\n",
      "   53   57  243   64  324   72   79   94  179  368  192  160   69   63\n",
      "   90   58 1503   80   61   87   78   68   97   56  114  325  440   72\n",
      "   53   94  121   56   53   77   65   74   82   55  160   52   53   89\n",
      "   54  122   60   65  201  139  186   51   52   64  459   91   64   94\n",
      "   79   55 2470   80   50   55   70  224   67   66   63   79   54   79\n",
      "   93   64  317   53   61   58   57   55   63  226  187   56   66  314\n",
      "   50   64   50  858  109   57  112  146   82   67  183   63  629  499\n",
      "   62   88  117  949  129   62   62   82   54   77   56   53   54   68\n",
      "   70   52   70   85   58  235  280  110  222   65  152   57   57  355\n",
      "   54   75  100  989   80  148  119   51  257   62  206   58   57  179\n",
      "   68  116  242  130   51  210   68  257  132  468   56  102   78   55\n",
      "   83   56  191   71  222  231  253   53  105  248  167   54   50   50\n",
      "  104   54  409   55  162  139   88   62  363   97  381  148   62   79\n",
      "   50  326   71  257   75   67   57   58   75  320   58  195   64   64\n",
      "  299  105  179   68  114   51   62   84 1293   57   61   61   56  328\n",
      "  327   62   54  126   82  101  375  203   66   51  217   55  124   53\n",
      "   56   93   57   63   52  663  220   97   56   74   71 2564   60]\n",
      "signal\n",
      "[1318 1005  122  352  235  147  203  944  153  183  140  104  102  344\n",
      "  322  613  310   61  632  133   66  473  412 1013  140 1068   84  814\n",
      "  103  140  227  315  275  163  984   67  296  269  228  316  197  388\n",
      "  211  278  554 1489  371   94  615  480  484  441  376   99  731   85\n",
      "  194  131   78   51 1004  185  520  480  248  134 1755  557 2281  210\n",
      "  244  211  400   79  258  790  257  412  221  556  159   66   86   59\n",
      "  531  133  327  923  205  130  475  496  380   54  452   50  327  529\n",
      "  622   79   56  276  186 1503  173  460  173  188  840  115  162   65\n",
      "  496   84  437  545  320   55  720  220  372  372  194 1486  190  364\n",
      "  320   99  400   73   95  213  478  237 2045  101  216  482   56   60\n",
      "  287  154  100  341  105 2110  537  267  569   68  386   89  362   51\n",
      "   51  181   94  279  419  387  133  215  166  815  228  671   73  175\n",
      "  589  130  186  168  830   74 1112  272   95  171  281   82   78  478\n",
      "  166  779  731   61   82  138  443  579  167  193  376  141  431  251\n",
      "  287  443  125  102  274  155   53 1413  121  338 1359  126  301  187\n",
      "  409  278  169  100   57  191  209  783  108  320   74  227  153  213\n",
      "  334  280  105  110  520  170  311  238  274  209  161  338  431  246\n",
      "   68  168  106   64  239  729  326  273  145  183   87  216  134  173\n",
      "  238  243  140  101  247  159  514   62   99  121  251  401   68  270\n",
      "  289 1148  534  197  156  710 2410   57  176  389   71  245  110  453\n",
      "  187  105   52  159   70  185  149   68  321  799  327  231  241  241\n",
      "   82   67  154  632  311  299  156  207  289   51  244   80  408 1290\n",
      "  143   72   59  230  472  121  296  509 1909   64  373  609  884   83\n",
      "   96  737  645  182  575  625  201  220 1062   77  660  268  420   85\n",
      "   66  292   87  144  260  280   93   56  800   78  332  233   74  601\n",
      "  124   57  111   53  119  250  317  373   67   59  201  111  153  119\n",
      "  125  164  198   89  343 1132 1108  428  312  736  797   85   82  974\n",
      "  180  265  238   96  191  274  362  165  111  635   61 1270  400  356\n",
      "  249  188  540  414  602  415  461  259  362   54  173  109  288  435\n",
      "  830  191  369   89   72  182  282  189 2509  246  131  361  354  719\n",
      "  279  115  168  194]\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/nfs/dust/cms/user/lbenato/anaconda3/envs/run3/lib/python3.7/site-packages/root_numpy/_hist.py:76: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  ROOT.AsCObject(hist), array, weights, return_indices)\n",
      "/nfs/dust/cms/user/lbenato/anaconda3/envs/run3/lib/python3.7/site-packages/root_numpy/_hist.py:76: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  ROOT.AsCObject(hist), array, weights, return_indices)\n",
      "/nfs/dust/cms/user/lbenato/anaconda3/envs/run3/lib/python3.7/site-packages/root_numpy/_hist.py:76: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  ROOT.AsCObject(hist), array, weights, return_indices)\n",
      "/nfs/dust/cms/user/lbenato/anaconda3/envs/run3/lib/python3.7/site-packages/root_numpy/_hist.py:76: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  ROOT.AsCObject(hist), array, weights, return_indices)\n",
      "/nfs/dust/cms/user/lbenato/anaconda3/envs/run3/lib/python3.7/site-packages/root_numpy/_hist.py:76: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  ROOT.AsCObject(hist), array, weights, return_indices)\n",
      "/nfs/dust/cms/user/lbenato/anaconda3/envs/run3/lib/python3.7/site-packages/root_numpy/_hist.py:76: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  ROOT.AsCObject(hist), array, weights, return_indices)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "data\n",
      "[ 218  258  353  229 2227  214  527  803  916  221  263 1729 1730 1230\n",
      "  216  202  225  210  210  358 1277  233  750  230  202  539  679  258\n",
      "  208  880 1470  256  233 1530  615 1265  321 1945  297  765  201  510\n",
      "  230  501  244 1965  601  209  525  289  260  207  210  269  346  892\n",
      "  513  202  528  281  318  225  250  842  200  233  284  673 3175  583\n",
      " 1121  515  248  300  208 3588  721  880  215  216  211  311  318 4042\n",
      " 1376  228  544  532  230 1447 1349  997  227  289  575  503  201  678\n",
      "  209  331  288  242  393  212  790  436 2243  259  218  260  312  375\n",
      " 1285  252  650  254  201  264  443  240  206  341  573  519  631  682\n",
      "  209 1041  213  208  911  366 1373  295  209 1002  239  296  335  225\n",
      "  259  325  547  514  286  427  355  259  216  200  827  235  295  503\n",
      " 5409 1466  476 1928  206  273 4140  223  221  303  265  478  267 3401\n",
      "  275  341  548  267  206  226  222  227  649  222  305 1589 1728  213\n",
      "  320  436  222  552  244  335  282  687  238  229  234  357  243  215\n",
      "  331  296  231  204  496  506  222  248 1208  267  478  289  328  256\n",
      "  275  200  203  658 1559  271  200  217  292  268  239  622  403  370\n",
      "  619  262 1208  470  287  220  202  242  203  219  273  695  207  229\n",
      "  850  200  233  656  215  220  219  250  579  731  263  774  246  257\n",
      "  311  714  612  209  407  206  461  235  578  627  888  564  866  339\n",
      "  219  234  223  645  267  215  443  302  581  298 2239  224  271  224\n",
      "  213  246  694  503  247  414  494 1460  683  669 3019  200  221  570\n",
      "  211  201  629  223  761  265  369  935  227  200  381  319  905  310\n",
      "  223  519  593  247  241  236  217  623  273  217  258  433  229  306\n",
      "  201  314  609  247  235  551  265  328  833  710  223  847  555  693\n",
      "  589 1428  514 1247  236  244  355 1389  292  242  210  243  261  295\n",
      "  251  241  241  210  541  455  505  221  341  218 1336  216  318  226\n",
      " 2460  508  234  201  309  844  635  231  234 1098  399  340  230  718\n",
      " 1765  420  466 2384  279  258  233  218  234  633  740 2720  250  280\n",
      "  611 1531  916  333  256  674  203  222  249 1265  206  338  544  788\n",
      "  335  504  222  377  964  288  521  254  567  287  323  200  235  343\n",
      " 1388  563  222 4517  337  220 1536  366  205  218 1294  522  214  218\n",
      " 1731  787  220  211  314  200  830 3183  264  209  833  655  218  231\n",
      "  411  207  577  213  213  886 1116  256  289  209  217  203  208  205\n",
      "  737  225  393  306  320  352  204  204  219  216  308  210  262  761\n",
      "  500 2907  331  528  472  252  252  632  234  250  443  636  260  222\n",
      "  812  257  280  200 1439  527  209  211  208  263  224  490  207 1603\n",
      "  206  264 2314  254  292  628  236  219  749 2367  208  217  240  268\n",
      "  307  516 1958  264 1323  318  229  955  246  237  204  308  534  212\n",
      "  514  225  732 1962  281  945  237  204  269 1147  226 1112  369  226\n",
      "  261  269  277  794  957  290  232  477  242  421  874  601  934  530\n",
      "  232  258 1103  362  307  232  598  202  200  299  228  215  529  225\n",
      "  214  363 1343  540  226  223  313  244  723 1005  700 1296  251  256\n",
      "  240  549  656  219  200  681  210  301 3993  228  219  569  205  216\n",
      "  538  375  287  568  218  286  202  510  205  263  263 2267 1186  205\n",
      " 1042  210  327  223  318  218  297 1005  203  265  289  245 1879  700\n",
      "  255  352  302  226  363  265  228  224  283 1463  215  203  822  986\n",
      "  404  242 2338  215  309  337  309  203  422  225  204  344  457  200\n",
      "  385  612  233  468  835  705  214  896  505  215  246 1552  208  259\n",
      "  278  461  280  227 1102  702  289  273  250  227  594  415  209  619\n",
      "  219  214 3579  295  339  212  200  538  216  207  204  219  262  712\n",
      "  509  231  488  522  218  311  512  554  209  314  207  258  206 2836\n",
      "  317  213  294 1165  236 1834  270  211  275  995  506  232 1740 1134\n",
      "  200  213  247 2925  577  313  206  259  208  215  223  635  203  225\n",
      "  855  245  263  227  258 1184  353  305 1765  207  364  229  201 1634\n",
      "  310  200  391 1088  210  201  255  204  745  207  370  261  212  557\n",
      "  278  331  297  215  542 1226  282  380  280 1168  217  265  202  240\n",
      " 1361  264  296  640  232  245  286  342  209  281  229  221  311  272\n",
      "  813  216  490  632 1448  877  659  691  941  253 1115  210  548  227\n",
      "  292  810  219 1236  585  283  208  213  230  452  211  890  605  536\n",
      "  422  233 1676  971  553  295  263  434 2105  503  217  262  202 2443\n",
      "  922  203  272  203  264 1634 1592  646  245  662  643  217  301  224\n",
      "  209  237  245  200  226  792  224  230  272  202  735 3110  212]\n",
      "signal\n",
      "[ 814  584  362  582 1353  509  222  202  538  202  725  494 1079  603\n",
      "  399  267  920  262  285  304  380  785  690  663  614  253  468  825\n",
      "  205  401  383  243  441  349 2157  365 1113  477  205  404  240  988\n",
      "  269 1133  905  544  597  252 1921  698 2098 1015  356  337 1087  608\n",
      "  949  513  740  200  251  282  548  572  291  366  267  597  266  216\n",
      "  275  763  469  544  503  245  286  777  376  769  730  232  628  793\n",
      "  548  935  457  956  226  382  314  227  870  691  480  353  967 1164\n",
      "  304  361  288 1031  283  987  275  556  529  412  808  273  232  677\n",
      "  210  314  301  656 1971  300  725  383  563  610  320  236  567  673\n",
      " 2395  475  541  342  221  644  261  703  523  525  295  584  518  351\n",
      "  680 1020  865  657  358  203  817  878  882  852  740  586 1003  426\n",
      "  696  266  469  202  566 1300  420  363  987 1226  603  925  625  296\n",
      " 1584  300  231 1004 1708  434  243  309  846  268  666  583  535 1837\n",
      "  782  645 1654  388  938  411  755  217  535  563  841 1318  538  212\n",
      "  874  743  272  860 1293  578  215  245  465  347  632  782  546  311\n",
      "  384  513  531  473  751  208  577  931  520  505  275 1555  407 1482\n",
      "  538  285  557  897 1029  215  262  326  476  245  396  579  466  384\n",
      "  828  547  532  811  464  731 1147  518  389  483  751  307  453  614\n",
      "  447  568  651 2324  526  366 1666 1150  475  483  620 1333  597  298\n",
      "  266  732  277  511 1212 1388 1631  304  716 1242  315  394 1286  521\n",
      " 1147  226  434  200  525  480  376  641 1019  308  350  477  563  491\n",
      "  340  519  417  701  641  496  279  390  560  712  572  252  203  835\n",
      "  405  231  283  899  818  590  386  335  232  222  279  323 1176  256\n",
      "  699  500  754  360  432  732  400 1422 1279  304 1237  591  507  730\n",
      " 1386  692  568  680  332  300  812 1139  237  209  734  361  555  342\n",
      "  337  219  702  654  266  715  743  777  314  235 2680 1058  252  343\n",
      "  239 1495 1108  348  360  299  349  375  482  968  354 1013  423  433\n",
      "  515  627 1036  340  513  962  619 1096  238  644  817  218  715  688\n",
      "  444  967 1106  429  667  569  643  208  310  808  201  444  319  270\n",
      "  258 1010  749  280  398  416  476  893 1379  300  683  239  496  772\n",
      "  797  530  229  826]\n",
      "data\n",
      "[-1.7274616   5.8162813  10.084876    5.8234525   9.769497    1.3351827\n",
      " -1.7778088  10.891592    8.945434   -2.4190214  11.592711   -3.8298545\n",
      "  1.9762865   4.126067   -3.4094117   1.7294085  -1.6620833   7.031831\n",
      " -1.3102064   4.3636093   8.753342   12.374608    7.6211014   5.875468\n",
      "  7.332518   12.464298   -1.9434862   9.885512   10.552457    1.8626169\n",
      " -1.6039301   3.574296   10.313898    0.56818753 -2.121609    5.403955\n",
      " 10.083641    8.900628    3.5639527  -1.0046316   1.3620089  -4.303164\n",
      " -1.5772748  -0.3346374   8.651833    6.27587     6.015834   10.011882\n",
      " -0.63337046 -2.5666254  -1.1376251   3.6953368  -1.4576778  -1.2160164\n",
      "  2.9361725  -4.1827793   6.872712    4.6218843  10.762756    1.5780182\n",
      "  0.1125056  -3.7378204   5.2620826  10.719536   12.32866    11.295032\n",
      "  3.5119147  -0.78691226 -3.5887268  -2.882821    1.2446811  11.476187\n",
      " 10.054757    2.3449206   1.2029525   9.624412    8.406306   -2.6936913\n",
      " 12.063896   -4.3211184  -2.2429557  11.773821   11.738819    5.908233\n",
      " -3.830334   11.494163    5.3597274   0.9002866   5.764686   -0.80658525\n",
      " -2.6267004  -2.1801105  11.550403    0.27260983 10.346829    7.809299\n",
      " -1.7051603   2.8582535   4.3125625   3.575395    3.068388    5.0636673\n",
      "  8.667815   11.648436    4.473085    6.7671022   3.5679085   4.716482\n",
      "  1.1984218   9.630681    0.16254605  2.5871692  11.583032   -4.661499\n",
      "  1.4775547   8.471966   -1.5075972  10.423751   11.714429   10.424633\n",
      "  6.8552237   1.9928527   6.717457   12.06949     6.999349   10.25428\n",
      "  0.6637386  11.256759    1.9872605  -3.8690753  -1.0654663   9.790604\n",
      " 11.596034    6.869825   11.513155    2.1318858  -0.37897572 -3.4724529\n",
      "  8.933083   -3.6801095   3.5676043   4.5613008  -1.883149    8.700902\n",
      " 11.65384     7.127513    9.577914    5.257976    2.2262063  -1.9888827\n",
      " -4.432954   -2.245799    0.712408    0.18522559 -4.2915854   2.2906847\n",
      " -3.3841562  -3.121689    4.8117337   4.886203    9.3501625  12.103587\n",
      "  3.2350442  -0.8669384   5.178156    3.4660592   5.012143    4.838455\n",
      " -0.7718829   8.462377    3.209356   -0.06503143  2.9777749  11.498914\n",
      " -0.6930817   2.564962   12.350271   -3.2491937   8.928721    2.008308\n",
      "  9.693084    2.0106578  12.124223   -2.3597276   3.2910323   8.428798\n",
      " 12.236537    6.901105   11.252502    2.0385888   9.319962    6.902829\n",
      " 10.536405   10.549565   12.12709     1.8155485   2.0323892  -4.6836786\n",
      " 10.582966    2.157491   -3.6564298  -3.4149954   1.0592     -3.2500782\n",
      "  8.797493    1.6676296   0.27372953 -2.9255836   7.5669923   2.7752573\n",
      "  5.394228    0.14065105  3.6476336   5.147192    2.009597    1.4754022\n",
      " 10.094299    2.615996   11.797303    4.8564734   4.407583   -1.5392737\n",
      "  3.0675507  -0.67333716  5.2130504   9.3088665   2.3946235   1.157113\n",
      "  4.51692    10.163914   11.818519    0.80008686 -3.2928243   7.383258\n",
      " 10.4420395  -2.0920904  11.542505   -0.30302888 -2.548282    4.5842795\n",
      "  1.1142932   9.513556    1.8775153  -0.48103312  2.1825867  10.68577\n",
      "  1.0280266   3.2484422   9.089477   10.567697    5.904582   10.133131\n",
      " 10.70558    10.952588    4.8996415  12.349322    5.8818564   7.2231636\n",
      "  9.667327    1.2150701   2.2658556   9.929414   -1.3839067   7.2453046\n",
      " 10.997424   -4.123757    4.5474515  -2.3430023   3.09925     1.2153907\n",
      "  0.44385174  0.89059556  0.3607358   9.955105   -0.984621    2.4249437\n",
      " -1.3794065   8.3627825   0.6511083   2.7495253  -1.0787454  11.580278\n",
      " -3.7641706   8.071439   -0.10466745 -2.3344383   0.8252298   4.338262\n",
      "  3.9867558   3.2177     -2.75755    -0.40063143 -4.228282   12.355608\n",
      " 11.866336    4.0471125  -2.4919324  -4.119196    9.768555   11.690259\n",
      "  6.670881    2.9086463   2.0546365   4.7447786   4.1606627   2.9192991\n",
      "  9.5923605   1.8937861   8.165714    2.3952303   3.0849853   8.042365\n",
      "  2.65319    11.927844    9.611564   11.638583   12.117467   -3.3558636\n",
      "  0.36233658 -2.6001406   2.7229357  10.024614    3.2060812  11.447867\n",
      "  6.0348945   6.9093356   6.3772144  -0.32595778  0.22618502  4.6106987\n",
      "  4.577678    8.506826    7.1611066   6.6762033   6.03159     5.9437394\n",
      "  8.253469   11.737544    9.280657    4.6398077   8.634768   10.703614\n",
      "  7.7693253  -0.68957216  9.427928    4.956719    1.6173882   8.198299\n",
      "  6.555843    2.2377622   4.117419    5.2765307  10.310881   11.317411\n",
      "  6.802126   11.920803    4.1196723  11.45585     2.3402858  -0.47262883\n",
      " -2.4117427  11.036657    3.4428473  -1.6857455  11.952345    3.8834546\n",
      "  2.3461297   2.4886465   5.6662216   2.0933256  12.211699    7.0603676\n",
      " 10.869911    9.21054    11.804801    9.833723   11.731205    4.112621\n",
      " -2.6251209  10.222155   -0.08826173  3.7734077   7.4128747  -4.0620503\n",
      " -0.5341395   8.795963    0.22302657 11.420688   -3.7378528   9.289042\n",
      "  3.4969947  -2.502191   -2.7898753   0.7536795  11.233587    6.954493\n",
      "  7.351945   10.382045   10.374085   10.338807    9.984982    3.8420854\n",
      "  3.143024    0.76644695  6.6560626  11.322848   -0.66867936  1.8924476\n",
      " -2.9486315   3.0178244   8.880232   10.047915   11.244217    8.143595\n",
      "  2.0780416  -1.7849398   5.8998413   1.077749    0.9769393  -1.4981613\n",
      " 10.098903   12.021183    7.163256    5.207021   10.547905    1.9272717\n",
      " -3.0049105  10.952066   11.36669     0.33944142  3.9076781   3.609474\n",
      " -1.4856067   6.4613824   9.471134   11.395184   -3.83082    -2.1626003\n",
      " 10.458654    4.499615    8.573638   -1.5539571   0.12360531  9.93997\n",
      " -3.3841646   8.007734   -2.190413   11.655977    7.250689    0.9230779\n",
      "  2.233718    6.9070807  12.47209    12.494866    2.8938162   1.0393418\n",
      " -3.244173   -3.2457213   0.782142   11.034459   -1.8618628  -2.8039513\n",
      "  1.4288058  11.91823     9.744739    3.7506673   8.968718    1.9920988\n",
      "  8.615625   -3.106304    8.8462      2.963896    8.562398    0.47087595\n",
      " 10.874854   -3.7674003  -2.8064528  10.809867    3.6399446   4.6675873\n",
      "  1.6373914  -3.709894    6.001759    6.231196    9.491319    7.338663\n",
      " -0.27971774  0.6290162   8.189427    7.03261     9.174924    0.1649777\n",
      "  1.8447464  -3.4046319  12.486463   10.007202    5.1160254   7.0395226\n",
      " -2.267993    3.2522442   3.7075853   3.9167228   3.1682954  -1.1997209\n",
      "  0.08346771  3.2148905   0.86735517  3.7135105   9.290854    5.296932\n",
      " -2.007618   -2.614837    6.320105    1.32517     3.6111891  11.127939\n",
      "  9.450748    1.6473892  -1.0983584   6.953394    7.3965387   6.204665\n",
      "  5.289878    9.15945     8.230763   -0.3295374   9.832095    6.1747084\n",
      " 11.150683   -3.1000354   3.076126   -2.0757775  11.895302    0.04066624\n",
      " -2.7004092   1.713893    5.4085593  11.065505    8.335128   -0.32782426\n",
      "  1.2958045   5.670622    9.953957    7.321107   10.926296   11.844177\n",
      "  2.4993906   9.504471   -0.644292    4.9332976  -3.6855955   7.014786\n",
      " 10.83891     7.0777893  10.501787   -0.6793143   8.562971    0.49701148\n",
      "  4.7468405   3.786922   11.296246    4.917552    1.0963572  10.189693\n",
      "  0.18533799 -3.1715841  -4.1987963   0.36624882  2.1196966  12.052199\n",
      "  1.4109997   1.687742    5.4147077  10.517682   -3.0367432   3.316405\n",
      "  3.944102    9.28759    11.27976     6.1243057   0.30402967  5.8049307\n",
      " -0.6922579   9.030622    9.361779    4.1950464   2.3746896   2.578118\n",
      "  7.4457374   0.03756636  9.743194   -2.4616106  10.111131    0.26925936\n",
      "  2.9026182  -0.3658566   2.325957   -0.31983352  6.8492126   1.972413\n",
      "  8.207038    3.1807907   2.482096    9.52874    -4.925097   -2.670865\n",
      "  3.4566872  11.41102    -4.148617    0.77401364 -3.6779616   1.6914198\n",
      "  1.1940566   6.9679756   2.5824082  -0.08540485  1.3251301   8.305146\n",
      "  4.7285943   7.696687   -4.440167   -2.359736    3.8696308  11.584258\n",
      "  8.979138    3.9582956   9.007565    0.38542837  4.2115545  11.022885\n",
      "  9.172358    3.0775464  -1.8357211   8.910696   -2.3127723   7.4468093\n",
      "  8.124989    8.391686    9.1384535   5.235234   12.191064   -2.2259405\n",
      "  7.622009    4.491751    2.4629102   4.545598    6.759672    4.1613474\n",
      " -3.0760765   5.2061014   6.4049077   8.820532    3.8179862   3.4792168\n",
      "  5.1092463  -1.1646618   1.2653747   5.1434226   4.064107   10.95505\n",
      " -2.661643    8.893125    4.5142155   3.2552288   0.3061773  10.334409\n",
      "  5.767986   10.678463    5.615179   -1.4585171  10.359304    3.6905386\n",
      "  2.8390996  11.201178    4.6193485   9.499735   -4.0187125   2.0435627\n",
      " 11.354922    5.735201   -2.4540732   1.962004    5.0834336   5.3767376\n",
      " -1.5330795   9.783342    1.3119196   0.81193733 10.308318    4.8790593\n",
      "  3.2729545  10.096655    5.3557844   4.43817     1.7482916  -3.4963007\n",
      "  8.455247    2.1601148   8.712156   10.893142   -0.21596457  1.3583869\n",
      "  2.7051723   1.1004541   3.258107    8.479319   12.346542   -2.2601714\n",
      "  2.6802576   4.263767    7.243206    4.36137    10.112422    2.4688027\n",
      "  0.99879223  5.683345    4.230449    0.59208083  8.800368    8.138115\n",
      "  5.606946    5.5559683   4.359666   -4.8454504  -1.813922    3.1338053\n",
      " -4.6934648   3.1598015   4.4747972  11.199806    4.9542575   5.256377\n",
      " -4.138108   -0.62056375  5.726389    5.1495237   0.89732957  6.390392\n",
      "  7.1990123   3.773945    8.898521   11.318297   -0.54780203  7.742287\n",
      " -1.760129    9.880433    0.706279    1.7023528   7.62318    12.451449\n",
      " -0.48012078  1.2898169   0.60679346  8.174262    5.676956    7.114452\n",
      " 11.808456    2.9493227   1.6580518   5.502612    1.8302081   3.5677648\n",
      "  2.983552    4.456546    3.9376752   6.366166   -2.7199264   4.7329645\n",
      " 10.975637    5.4526277   1.0919499   8.273989    8.87408    10.052623\n",
      " 11.225636    1.9657143   1.289668   -2.1887271   9.12217     0.23360674\n",
      "  3.8289576   4.053442    3.5824773   0.37676105 12.020338    3.6607296\n",
      " -2.3424885   0.5036414   9.481678    8.518742    0.3788367   0.84780455\n",
      " 12.377021    5.844605    7.690333   10.020391   -2.606869    4.2831316\n",
      " -4.6517496  12.069006   -0.7946701  10.453956    2.2525368   2.8781977\n",
      "  7.9711185   7.3919005   6.3559594  10.514621    4.986005   -1.0090253\n",
      "  0.36873364  9.7484045   8.185216    6.5777164  11.096971   -0.69031435\n",
      "  4.613102   -4.14742     6.269981    1.916891    3.6775677  -2.393267\n",
      "  0.45028713  1.186815    0.2718054  11.946685    2.6994612   1.7411729\n",
      "  7.062428    5.706614   -3.0406725   9.450746    7.85255     7.2988024\n",
      " -2.1732056  -4.4537687   2.0355463   5.778126    2.7908812  -3.707284\n",
      "  5.8424344   2.7916934  -1.6359173   3.0665712   0.9913644   9.145201\n",
      "  2.9548879  -2.57799    11.933865    3.0034974   5.92241     9.397709\n",
      "  1.6912944   4.357928    0.3640222   4.510142   -1.3362125   5.8012457\n",
      "  2.2465699   2.8016744   9.162336    6.823372   -0.40066853  6.365847\n",
      " -2.7685354   3.0364869   9.013132  ]\n",
      "signal\n",
      "[-6.93221986e-01 -3.83919686e-01 -3.06187105e+00  1.35808313e+00\n",
      " -8.21557403e-01  1.68301332e+00 -2.39371729e+00 -4.83042717e-01\n",
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      " -1.13295941e-02  2.69889534e-01  2.21022439e+00  1.20084810e+00\n",
      "  1.47311747e+00 -5.60878292e-02  6.23509645e-01  9.06944275e-02\n",
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      " -9.68694508e-01  1.40836263e+00 -5.44031739e-01 -1.41187227e+00\n",
      "  5.66965437e+00  1.24360061e+00  4.21962947e-01 -4.24325079e-01\n",
      "  1.22025168e+00 -1.98642719e+00  9.05380189e-01  2.69257617e+00\n",
      "  9.46774244e-01 -7.27600396e-01 -4.90196534e-02 -5.41208446e-01\n",
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      "  7.75765896e-01  7.93286264e-02  5.03667176e-01 -2.67194897e-01\n",
      " -8.85055900e-01 -6.69411838e-01 -1.58086073e+00  3.11729491e-01\n",
      "  1.13949692e+00 -2.72791815e+00 -6.18753195e-01  2.45594814e-01\n",
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      " -2.97691654e-02  3.00000763e+00  1.53249598e+00 -5.75197041e-01\n",
      " -8.04289699e-01 -1.59567490e-01 -1.45092976e+00 -2.13525787e-01\n",
      " -1.43816590e+00  1.35144746e+00  1.27740383e+00  4.13763344e-01\n",
      " -3.13416799e-03  1.90800238e+00  2.07994080e+00  1.22644889e+00\n",
      "  9.05634344e-01  1.54795635e+00  4.01596099e-01  2.72686720e-01\n",
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      " -6.40423656e-01  1.36033607e+00  1.39030731e+00  4.33000565e+00\n",
      "  2.36213803e-01 -3.91717851e-01 -1.62508965e+00 -6.39539123e-01\n",
      "  1.87053847e+00 -1.60251558e+00 -2.34795117e+00  8.12682927e-01\n",
      " -3.20045024e-01 -8.91898632e-01 -2.12339950e+00  2.53687739e+00\n",
      " -4.83609170e-01  2.11362153e-01 -4.79012936e-01 -3.71950150e-01\n",
      "  7.67022908e-01  1.19687867e+00 -3.48069042e-01 -5.86203396e-01\n",
      "  2.19923449e+00  4.07623768e-01  3.35823607e+00 -5.69588006e-01\n",
      " -1.13890678e-01  4.17132586e-01 -6.26867190e-02  1.63166857e+00\n",
      " -1.55182099e+00  2.36783218e+00  6.25560060e-02  4.16599542e-01\n",
      " -1.07325271e-01 -3.11873667e-02 -2.93899029e-01  3.54162860e+00\n",
      " -4.56861585e-01 -1.06725919e+00  2.89422226e+00  1.50586593e+00\n",
      "  1.01433384e+00 -1.05163813e+00 -2.61512327e+00  9.26864862e-01\n",
      "  3.10949445e-01  1.40778825e-01 -4.35232401e-01 -1.59536266e+00\n",
      " -1.77739584e+00  5.85734904e-01  6.23704493e-01 -4.05557775e+00\n",
      "  1.45658755e+00 -2.16692042e+00  2.28957629e+00 -1.97923839e+00\n",
      "  1.06649995e+00  1.59466767e+00  8.53792503e-02  4.35405791e-01\n",
      "  1.04937780e+00 -1.22106671e+00 -2.43102908e+00 -6.39844179e-01\n",
      " -8.84797513e-01  1.63346216e-01  3.11853480e+00  1.69195998e+00\n",
      "  2.90270448e-01 -7.82303870e-01  1.73094034e+00  1.50230467e+00\n",
      "  1.78395319e+00 -2.33405495e+00  9.02692378e-01 -1.71370161e+00\n",
      "  4.03466129e+00 -4.86289710e-01 -7.26009011e-01  5.18741310e-01\n",
      " -1.21476305e+00  4.48820263e-01 -5.94104290e-01 -1.82317162e+00\n",
      " -1.33013141e+00 -2.03109646e+00  1.53771412e+00 -3.75707030e-01\n",
      " -6.56626150e-02  9.39968526e-01 -8.88277292e-01  1.57771242e+00\n",
      "  9.19450462e-01 -1.29821348e+00 -7.28641272e-01  1.87620020e+00\n",
      " -1.66675970e-01  2.73247302e-01  3.28171182e+00  8.07622433e-01\n",
      " -9.86705542e-01  9.30269342e-03  3.34926748e+00  2.18469054e-01\n",
      "  1.53248143e+00 -3.13093543e-01 -2.04971409e+00  1.22352695e+00\n",
      " -2.76453495e-01  2.41378069e+00  1.36384860e-01 -2.45448661e+00\n",
      "  4.89726275e-01 -6.88036323e-01  1.98251498e+00 -1.06521821e+00\n",
      " -1.63652766e+00 -7.06255913e-01  1.40187904e-01 -1.10910094e+00\n",
      "  1.08139789e+00  9.62216437e-01  4.24538076e-01 -3.13335776e-01\n",
      "  8.35386932e-01  2.17371845e+00  1.29307938e+00 -3.23729062e+00\n",
      " -6.34921670e-01  1.48813725e-01 -1.36945581e+00  4.08745718e+00\n",
      "  8.75134945e-01 -9.42836553e-02  1.51985168e+00  9.61744130e-01\n",
      "  3.36935371e-01 -1.30852532e+00  1.81392062e+00 -1.05753791e+00\n",
      " -7.88283527e-01  9.17444050e-01 -5.47816873e-01 -9.11083758e-01\n",
      "  7.75410771e-01  2.21735895e-01  2.83348870e+00 -3.12254357e+00\n",
      " -2.21369267e+00 -1.25569379e+00  4.70135450e+00  2.54832298e-01\n",
      "  3.16926748e-01 -1.51843750e+00 -7.90760636e-01 -7.24621117e-01\n",
      " -2.63672113e+00 -2.27491304e-01  6.95161641e-01 -3.26268464e-01\n",
      "  2.88589358e-01  1.22481322e+00  7.25238204e-01  8.54191899e-01\n",
      "  3.72444725e+00 -8.40734303e-01  1.60988617e+00 -4.39910650e-01\n",
      " -2.76065469e-01  1.91733992e+00  1.09880114e+00 -9.27795231e-01\n",
      " -1.19263060e-01 -3.87192845e+00 -1.36231387e+00  9.17490959e-01\n",
      " -2.01820612e+00  3.74867558e-01 -1.19692397e+00  8.47714007e-01\n",
      " -4.38684970e-01 -2.09358454e+00  4.27594995e+00  1.29057503e+00\n",
      "  1.72368467e+00 -2.45211974e-01 -7.07598925e-01  2.51120400e+00\n",
      " -1.94186687e+00  1.33679223e+00  2.22129655e+00  1.37217641e+00\n",
      " -5.39698005e-01  3.35103035e-01  1.25570214e+00 -4.89663333e-02\n",
      " -1.11686063e+00 -1.70590863e-01 -1.34755015e-01 -5.91903925e-01\n",
      "  1.26356018e+00 -1.76259673e+00 -1.71566677e+00  5.54864228e-01\n",
      "  3.11322904e+00  2.08745146e+00  7.58845031e-01  2.69273132e-01\n",
      " -6.66824728e-02  1.72542715e+00 -1.66818810e+00  9.38786089e-01\n",
      " -7.18055964e-01 -2.35066557e+00  1.18570089e+00 -1.05914128e+00\n",
      "  3.36960495e-01  3.46846282e-01 -1.54916227e+00 -9.21390116e-01\n",
      " -1.24659872e+00 -9.20751393e-02 -1.13059536e-01 -4.71738577e-01\n",
      "  7.58277297e-01  9.26315039e-02 -1.48072898e+00 -6.45560145e-01\n",
      "  1.65709233e+00 -2.06138611e+00  3.81670058e-01  3.55708694e+00\n",
      "  2.05996513e+00  9.00780618e-01 -5.75901210e-01  6.53285980e-01\n",
      "  1.00807369e+00 -7.49500453e-01  2.69022202e+00 -4.08924334e-02\n",
      " -3.47124964e-01  5.08781850e-01  3.00815970e-01 -1.02212358e+00\n",
      "  1.10246634e+00 -1.19882691e+00 -2.02209258e+00  8.30687165e-01\n",
      "  2.77713394e+00 -2.83133000e-01  8.00066650e-01  2.84955263e+00\n",
      "  1.28174078e+00  7.37446010e-01  1.17227566e+00  5.75398922e-01\n",
      " -2.46462658e-01 -1.27199161e+00  8.41955781e-01  1.62643993e+00\n",
      "  3.41055274e-01  1.35775161e+00  5.46356678e+00 -2.94726074e-01\n",
      " -2.38598847e+00 -1.04105902e+00  2.36085367e+00  1.69450450e+00\n",
      "  5.59026480e-01 -1.29659188e+00 -3.13126221e-02 -8.13583136e-01\n",
      "  1.94686317e+00 -1.65513706e+00  2.83956587e-01  2.46723914e+00\n",
      "  6.29789782e+00 -7.82446712e-02  2.64238286e+00 -2.36136436e+00\n",
      " -1.04952562e+00  9.65997696e-01  1.85435402e+00 -1.90416908e+00\n",
      "  2.70809650e+00 -5.69215953e-01 -3.25857908e-01 -1.17176366e+00\n",
      " -6.94700032e-02  4.61661726e-01 -4.38517094e-01 -1.60193250e-01\n",
      "  4.99266744e-01  2.10556582e-01 -3.08716178e+00 -1.54529774e+00\n",
      " -1.89907610e-01  1.90677857e+00 -1.18443298e+00  1.86196578e+00\n",
      " -8.48813355e-01 -5.16230285e-01 -1.66461515e+00  2.21072674e+00\n",
      "  1.37342715e+00  3.19903612e-01  1.71254528e+00 -2.66595960e-01\n",
      "  3.57565373e-01  1.22297978e+00 -1.65738690e+00 -3.48138899e-01\n",
      "  1.33949018e+00 -3.26014787e-01  5.21344841e-01  1.91020751e+00\n",
      " -9.71250892e-01 -2.10726351e-01  8.03335905e-01 -1.70384383e+00\n",
      "  6.77950680e-01 -1.44644511e+00  7.70482779e-01  5.87549090e-01]\n",
      "data\n",
      "[ 8.63345861e-01 -1.35828185e+00  2.58142424e+00  1.02953184e+00\n",
      "  6.01775885e+00  8.20193005e+00 -1.11760831e+00 -7.93976426e-01\n",
      "  4.60024405e+00 -9.09005880e-01  4.17414932e+01  2.46030259e+00\n",
      " -3.46375442e+00 -1.34306073e+00 -6.62615955e-01 -4.41488504e+00\n",
      " -3.06163281e-01  2.64330721e+00  1.74908149e+00  3.84859514e+00\n",
      " -9.92679024e+00 -2.14379978e+00  2.14458895e+00  1.10616648e+00\n",
      "  1.02043200e+01 -5.55848032e-02 -7.78930140e+00  1.00775659e+00\n",
      "  8.91259098e+00 -4.44276905e+00  6.10623980e+00 -3.11542106e+00\n",
      " -1.60570145e+00 -1.29956255e+01 -3.95208144e+00  3.22640991e+00\n",
      " -2.34759116e+00 -2.34829407e+01  4.94108826e-01  1.61673565e+01\n",
      " -6.99303770e+00 -2.07534003e+00  7.46273565e+00 -7.82296538e-01\n",
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      "  5.30065238e-01  1.21979403e+00 -1.14982405e+01  5.05661392e+00\n",
      "  2.69702244e+00  2.31832623e+00  8.53451967e-01  1.09109402e+00\n",
      " -4.07099187e-01  1.52198992e+01  2.74496613e+01 -3.49786878e+00\n",
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      "  1.34276228e+01  2.33443604e+01  8.18383598e+00 -2.31239128e+00\n",
      "  2.18277049e+00  8.08150578e+00  3.52453780e+00  8.38393879e+00\n",
      " -9.63445091e+00 -7.49512482e+00  3.46157169e+00  7.66625690e+00\n",
      "  5.74835682e+00 -4.01957631e-01 -8.36323321e-01  1.47972775e+00\n",
      "  8.26333523e-01  2.12747622e+00  4.81828594e+00  1.58895731e+00\n",
      " -4.94664717e+00  4.41617441e+00  2.93235188e+01  1.72695422e+00\n",
      "  5.34512329e+00  4.29876357e-01  2.42485690e+00  5.18114471e+00\n",
      "  2.59977865e+00 -1.05801744e+01  2.56257772e-01  2.37191620e+01\n",
      "  4.72062063e+00  1.97050250e+00  1.02665625e+01 -3.45679665e+00\n",
      "  4.70952988e+00  3.35819650e+00 -1.10231745e+00  2.04425693e+00\n",
      " -3.30003452e+00  2.82700539e+00  6.30222082e+00  6.49660797e+01\n",
      " -8.07954311e+00  1.51764774e+01  1.07203283e+01  9.54197407e+00\n",
      "  7.05505311e-01  6.51853943e+00  1.43149507e+00  2.34719982e+01\n",
      "  2.70244408e+00  8.01785660e+00  2.98214364e+00 -8.85088539e+00\n",
      "  1.22233951e+00  2.09244704e+00 -7.31211424e+00  2.51145124e+00\n",
      "  6.51804686e-01  4.31347466e+00 -5.36891747e+00  9.71722984e+00\n",
      "  2.22030282e+00 -4.28013039e+00 -3.16361403e+00 -7.81795835e+00\n",
      "  3.12458820e+01 -1.12818658e+00  1.88661742e+00  2.17974148e+01\n",
      "  9.24671936e+00  3.67813110e+00  9.24321473e-01 -1.39532700e+01\n",
      "  6.36488342e+00  3.56374335e+00  7.90123940e+00  1.13233824e+01\n",
      "  2.44074750e+00  3.19896984e+01 -1.96113735e-01 -2.82841778e+00\n",
      "  1.40373063e+00 -6.49250746e-01  2.42980194e+00  1.41376162e+00\n",
      " -9.99756432e+00  2.96478424e+01 -1.16471581e-01 -6.67659789e-02\n",
      " -3.30877155e-01 -3.81628990e-01  3.58776748e-01 -4.83196211e+00\n",
      " -4.51228201e-01 -5.60586929e-01 -4.70809162e-01 -7.76424265e+00\n",
      "  4.04203510e+00  2.21842575e+01  2.72586375e-01  1.00168467e+01\n",
      "  1.79234612e+00  2.67959023e+01 -3.53901458e+00  1.36901820e+00\n",
      "  3.35969429e+01  2.36175442e+01  6.97066593e+00 -1.51595154e+01\n",
      "  5.87719202e+00  2.69711666e+01 -2.64004898e+00 -8.63315773e+00\n",
      "  6.60595560e+00  4.59219265e+00  2.60990095e+00 -6.34250116e+00\n",
      "  2.07054996e+00 -5.73587275e+00  7.65492296e+00  1.18885159e+00\n",
      " -8.31569481e+00  5.74293995e+00  3.42705688e+01 -1.28047335e+00\n",
      " -2.13584595e+01 -8.33265209e+00  2.30308756e-01  3.87612772e+00\n",
      " -8.84740448e+00  7.67453718e+00 -9.51331794e-01  2.64625568e+01\n",
      " -8.86921120e+00  1.19466352e+00  2.50595779e+01 -5.53112030e+00\n",
      "  3.08904696e+00 -4.47884589e-01 -2.14555788e+00 -3.28270769e+00\n",
      " -2.80797988e-01  4.03577948e+00  8.13633728e+00  8.38760662e+00\n",
      "  1.23386240e+01  5.22893727e-01 -2.12620592e+00  5.31991577e+00\n",
      " -1.17964630e+01  2.80310860e+01  1.01553936e+01  9.27622855e-01\n",
      " -9.13323021e+00  1.68540630e+01  1.72902536e+00 -7.95959091e+00\n",
      " -2.10201073e+00  2.81680584e+00 -1.05455554e+00 -4.23744297e+00\n",
      "  1.45930874e+00 -8.57568234e-02  5.48893547e+00  9.04928970e+00\n",
      " -1.35220823e+01  7.37946081e+00 -3.24443841e+00  4.52192754e-01\n",
      " -5.33090115e-01  9.21280670e+00  3.74147072e+01 -7.57744491e-01\n",
      "  8.33932579e-01  2.88839245e+01  1.40845275e+00  9.07029808e-01\n",
      "  3.19344974e+00  4.89307284e-01  4.89396906e+00  1.26134336e+00\n",
      " -3.18830639e-01  6.28109276e-01  6.28483832e-01  5.22074819e-01\n",
      "  8.80882454e+00 -1.00546277e+00  1.69694066e+00 -2.33827233e-01\n",
      "  1.94355221e+01  8.08275986e+00  1.23104441e+00 -8.48380625e-01\n",
      " -1.96780097e+00  3.19918084e+00  8.63776326e-01  1.35702085e+01\n",
      "  4.47559148e-01  6.73004091e-01  1.07362490e+01 -8.43460858e-01\n",
      "  2.42997003e+00 -2.14189243e+00  1.32905283e+01  4.50877991e+01\n",
      " -3.56767774e+00  4.41848546e-01  2.19764280e+00  3.12397346e+01\n",
      " -7.90047586e-01  8.58622646e+00 -3.30115318e+00  1.10226784e+01\n",
      "  3.25939918e+00 -1.30364828e+01  5.51129723e+00  6.75570679e+00\n",
      "  8.83073139e+00  1.23577094e+00  3.22636700e+00  9.14206266e-01\n",
      " -8.08053017e+00  1.09290562e+01  2.14889884e+00  1.07975018e+00\n",
      "  4.45473105e-01  1.85180569e+00  4.18713152e-01  3.16825628e+00\n",
      "  3.37024536e+01  3.47500587e+00  3.66201329e+00 -2.66430616e-01\n",
      "  5.10222971e-01  3.40595388e+00  5.52037716e-01 -4.83863205e-01\n",
      "  9.49761581e+00 -8.68705571e-01  1.80220890e+00 -1.12888440e-01\n",
      "  1.16596766e+01  5.15757740e-01 -6.78931761e+00  2.19234772e+01\n",
      "  9.75407064e-02 -1.01348467e+01  1.56999934e+00 -4.41865253e+00\n",
      "  5.21419525e+00  1.99461031e+00 -1.07170467e+01  2.50105610e+01\n",
      " -3.47776651e+00  7.49828219e-01  4.11536962e-01  3.05101246e-01\n",
      "  1.67807541e+01  1.67446232e+01  8.84009171e+00  9.27262020e+00\n",
      " -5.29953146e+00  7.58133507e+00  1.93923438e+00  3.51784289e-01\n",
      " -1.08391416e+00 -8.31415176e+00 -4.97397125e-01  2.13475585e+00\n",
      " -1.47759223e+00  1.03297067e+00 -1.72869039e+00  1.35841095e+00\n",
      "  3.25776076e+00  2.54345727e+00 -1.97753537e+00  5.19256020e+00\n",
      "  3.42120171e+00 -1.67276189e-01  1.92146981e+00  1.82756329e+00\n",
      "  3.09187841e+00 -5.57189524e-01  7.87776423e+00  4.47571831e+01\n",
      "  3.08323212e+01  2.62772560e-01 -1.75835431e+00 -3.14124775e+00\n",
      " -1.86935210e+00 -1.59454751e+00 -1.30673084e+01  8.91535103e-01\n",
      "  7.75973988e+00 -8.59116435e-01  2.75188565e+00  1.24279487e+00\n",
      "  3.33213061e-01 -3.43598723e-01  2.34002094e+01  1.57762194e+00\n",
      " -5.84869087e-01  7.18219471e+00  1.91126835e+00  1.74179161e+00\n",
      "  2.26997566e+01  2.41510844e+00  7.79631734e-01 -1.67549782e+01\n",
      "  7.86114216e+00  3.72723389e+00 -2.44962648e-01  1.80203772e+00\n",
      "  2.70927382e+00  2.24170399e+01  8.99791050e+00  8.93806890e-02\n",
      "  1.90647840e+00  1.07577801e+01  2.31607914e+00  8.24452782e+00\n",
      "  2.12917900e+00  3.57383652e+01  1.30448599e+01 -1.02742844e+01\n",
      " -6.84776640e+00  3.21022463e+00  7.28077888e+00 -1.10446100e+01\n",
      "  5.68739319e+00  2.08499451e+01  1.35088444e+00  3.42754631e+01\n",
      " -8.20926476e+00  3.48606181e+00 -1.71371174e+00  3.40264225e+00\n",
      "  2.72839279e+01  8.52813542e-01  1.41470826e+00  2.32535958e+00\n",
      "  1.31006762e-01  2.52446914e+00 -2.22197418e+01  2.40107775e+00\n",
      " -1.47913671e+00  8.30468559e+00  5.84566712e-01  2.86915436e+01\n",
      "  2.56467319e+00  3.06571794e+00 -1.17258644e+00  1.01396809e+01\n",
      "  3.41142392e+00  9.16658461e-01  2.31188793e+01  1.81163037e+00\n",
      " -3.94328165e+00 -3.14295352e-01 -3.65596771e+00  1.02097201e+00\n",
      " -1.42991519e+00  7.63547182e-01  8.03081095e-01  2.66472225e+01\n",
      "  2.99274483e+01  3.78851920e-01  2.93868256e+00 -8.63222408e+00\n",
      "  8.06950760e+00 -1.63527691e+00  5.60846138e+00  3.44108510e+00\n",
      "  1.64036775e+00  4.38695240e+00 -7.69760683e-02  7.67306185e+00\n",
      "  6.65027761e+00  5.95115089e+00  3.16524720e+00  7.69099998e+00\n",
      "  2.51075959e+00  4.78817746e-02  7.74657249e+00  9.23953438e+00\n",
      "  3.56887474e+01  3.80264759e+00 -1.34879422e+00  1.60151291e+00\n",
      "  3.00440526e+00 -6.44406986e+00 -7.59120655e+00  1.37617815e+00\n",
      "  2.08784580e+00 -7.55232811e+00  7.13135540e-01 -2.63311887e+00\n",
      "  2.32024937e+01  2.44281769e+00  2.33022356e+00  9.50350380e+00\n",
      "  8.93125820e+00 -1.21000175e+01  5.12783909e+00  3.02242327e+00\n",
      " -1.81948626e+00  2.04858041e+00  1.09045019e+01  1.17880440e+01\n",
      " -1.22872388e+00  8.13314438e+00  2.61604671e+01 -4.30424273e-01\n",
      "  8.08357906e+00  2.93728518e+00  4.18279505e+00  1.12739778e+00\n",
      " -1.41588461e+00  8.18247890e+00  7.71073580e+00  5.28337574e+00\n",
      " -2.48316765e-01  3.44778786e+01  8.13330114e-01 -6.80875421e-01\n",
      " -1.83468852e-02  2.11645908e+01  1.96332324e+00  3.46654344e+00\n",
      " -4.05219221e+00  2.96659994e+00  4.86349058e+00  2.78403020e+00\n",
      " -4.88140583e+00  3.47145724e+00  1.04576759e+01 -4.31691742e+00\n",
      "  9.02285767e+00  1.13412547e+00  1.99426460e+00  2.72641602e+01\n",
      "  6.58918238e+00 -8.57442188e+00 -6.04957283e-01  4.32344198e+00\n",
      " -1.07371082e+01 -5.30688047e+00 -8.69958222e-01 -1.13843471e-01\n",
      "  7.44992495e+00 -1.38712120e+00  8.87172794e+00  1.10781980e+00\n",
      "  2.37702012e+00  6.63295269e-01  3.06415510e+00  3.19915085e+01\n",
      "  3.46397667e+01 -3.26298285e+00  5.45355225e+00  4.82544470e+00\n",
      "  1.46398640e+00  1.21060312e+00  3.16305709e+00  2.71137238e+01\n",
      "  1.74209237e+00  1.58872098e-01 -5.98435760e-01  1.57182770e+01\n",
      "  2.91409612e-01  1.06683826e+01  2.47196531e+00 -5.38700199e+00\n",
      "  2.89794102e+01  1.30928719e+00  1.43635149e+01  5.19440460e+00\n",
      " -3.33953238e+00 -6.63941431e+00  2.14238238e+00  3.71222420e+01\n",
      "  2.45106373e+01  3.58642077e+00  6.83726215e+00  2.87362785e+01\n",
      "  3.00243735e+00  2.37252808e+01  4.53393316e+00  2.42988892e+01\n",
      "  7.53997469e+00 -8.88308287e-01  1.04917488e+01  6.74067545e+00\n",
      " -1.38432064e+01  3.08914256e+00  9.65245914e+00  4.89077091e+00\n",
      " -9.77506924e+00  4.00110321e+01  2.77620087e+01  3.10781980e+00\n",
      "  7.21756124e+00  4.84190025e+01 -9.54577255e+00  3.00717545e+00\n",
      "  9.97287095e-01  1.18006635e+00 -6.05560493e+00  2.57764339e+00\n",
      "  1.76572113e+01  9.45256352e-01  2.05190506e+01  7.16758680e+00\n",
      " -1.09427631e+00  8.41222286e+00  3.85714302e+01 -3.73483348e+00\n",
      " -2.14939570e+00 -4.93907166e+00  2.72878528e+00  8.41022873e+00\n",
      "  5.04198599e+00 -8.27936745e+00  4.63917303e+00  2.31249371e+01\n",
      "  5.08596182e+00  4.14733315e+00  4.50535822e+00 -3.53652358e+00\n",
      " -1.72646809e+00  2.38709393e+01  3.68545794e+00  3.22468567e+01\n",
      "  5.63777685e-02  3.85421085e+00  2.02746849e+01  2.52248883e+00\n",
      " -7.18735695e+00 -1.78428757e+00  1.32367301e+00  5.28261805e+00\n",
      "  3.99183941e+00  2.25179648e+00  2.39516277e+01  4.01059675e+00\n",
      " -5.91019690e-01  1.02901173e+01  6.94397807e-01  2.41343040e+01\n",
      "  2.45000172e+01 -1.89876056e+00 -2.41746283e+00  7.79333305e+00\n",
      "  1.49854317e-01  6.43167877e+00 -4.21940374e+00  2.30985546e+01\n",
      "  3.64436746e+00  2.12680936e+00 -7.84120858e-01  2.00800014e+00\n",
      "  4.85150766e+00 -9.93360996e+00  3.86809611e+00 -3.58150864e+00\n",
      "  1.01937926e+00  5.43416858e-01 -1.94941506e-01  2.11281376e+01\n",
      "  1.12323093e+01 -1.74792502e-02  3.68664837e+00  1.38021559e-01\n",
      "  4.31056118e+00  2.40114212e+01  3.07909417e+00]\n",
      "signal\n",
      "[-0.15019634 -0.6881876   0.2366925  -0.675064   -0.45664856 -0.15185314\n",
      "  1.5178446   1.569994   -1.9465513  -2.7192197   1.6594363   1.0522786\n",
      " -0.06638999 -1.238705    0.16063121  1.5632282   0.3745466   1.0590703\n",
      " -0.16603525  0.755499   -0.87045836 -1.1807511   0.07421046  0.15198833\n",
      " -0.42644602  0.44610435  2.5699267  -1.6996723   1.2893183  -0.17277247\n",
      "  0.844095   -0.25387853  1.0042388   0.7464268  -0.2452298  -0.03598361\n",
      " -1.2787963   0.6468803  -0.07190217 -1.8663216   3.5350869  -0.91382265\n",
      "  1.840304   -0.5749466  -0.06661732 -0.30839103 -0.32463607  0.39189324\n",
      " -0.67308027 -1.2851892  -0.67752624 -0.3139895   1.6838695   0.3102246\n",
      " -1.2666376  -2.3883462  -0.53123444  1.6986359   0.98614436  1.0895975\n",
      "  0.78342503  1.0103991   0.50235945  0.19315019  0.08386344  0.01470627\n",
      " -2.2739146   1.4228415  -0.6879654  -0.34575623  0.6183058  -1.6031876\n",
      " -1.3837801   1.0132765  -1.2335424   0.21857587 -1.9876139   2.2404196\n",
      " -2.0023139  -1.2369806   0.1885021  -0.89934945 -0.36802828 -1.5971267\n",
      "  1.3890008  -0.74862766  0.04790962 -1.0612533   0.74242324  0.49900547\n",
      "  1.5886371  -0.9474617  -0.27652085  1.5043852   0.53705984  0.2718553\n",
      " -1.721926   -0.3804643   2.0019164  -1.2704728  -1.7118841  -0.47342438\n",
      " -1.007665    0.5629829  -1.6260954  -0.33631653 -2.6125622   0.03674781\n",
      " -1.5683259  -1.0977433   0.7987183  -2.38528     0.02624614 -0.8731079\n",
      "  1.3070449   0.6244043  -0.35725972  1.7766272  -1.0022346   0.7645603\n",
      "  0.21830034  0.8798742  -1.2003018   1.72788    -1.84866     1.5505881\n",
      " -2.3051043   2.8133283   0.7044154   2.394086    1.5997026  -0.47386745\n",
      "  1.856966   -1.3921958   0.43890762  0.50016385 -0.8828923  -2.4530787\n",
      " -0.7347474   0.6510893   0.5584195  -2.3322191  -1.0742025   0.06259877\n",
      "  1.3321458   2.6985362   0.3009415  -1.9272182   0.3216864   0.09719269\n",
      "  1.4099764  -0.12968072 -0.44037023  0.03565424  0.70722884  0.960416\n",
      " -0.53820217  1.6073382  -0.2930082   0.0319839   0.17885116 -0.07692216\n",
      " -0.60215986 -1.1228634  -0.04302914  1.223423   -0.62479144 -1.2006418\n",
      "  0.21484801 -0.08097933 -0.07565122  0.6572711   0.95278364 -0.17964149\n",
      "  0.13551785  0.53725696  1.8135643  -1.7360055   0.41168004 -0.23306337\n",
      " -0.35710284  0.2382521  -0.4312328  -0.0386401   1.6375641   0.11802398\n",
      " -0.68030894 -1.454047    0.04816845 -0.72412014 -0.82717335 -2.4936144\n",
      " -1.0216212  -1.7269151  -1.3610113  -4.1501226  -1.958811   -1.0803583\n",
      " -1.9313943  -0.21563609 -0.35957563 -0.4331467   0.13524601  0.4296166\n",
      "  0.1798941   2.1219485  -0.22082855 -0.4788183   0.79672897 -0.75435746\n",
      " -1.2452159   0.41384098  0.355822    1.1890398  -0.45861    -0.34771806\n",
      "  0.61546785 -0.6607621  -0.29286358  0.37687325 -0.18960844 -1.2054417\n",
      " -1.0986784   0.07864959  1.1568898   0.9409146  -1.1287998  -0.1533267\n",
      " -0.99298656  0.17399414  0.7305653  -1.9156508  -0.8281308  -0.2422107\n",
      "  2.4597044   1.6592296  -0.9681117  -0.4327096  -1.5964441   0.6161815\n",
      " -0.1423724   0.22327672  2.210532   -1.2611406  -0.2812702  -0.810132\n",
      "  0.24093515 -0.6971188  -1.0110669  -0.8612658   1.6881746  -0.15620591\n",
      " -1.2887889  -1.085944   -0.02882243 -0.38684428  0.78050154 -1.8998115\n",
      "  0.31978026 -1.1222329  -2.479658    0.84476227  3.564468   -1.4359658\n",
      " -2.7265544   0.7312085   0.03220551  0.9791029   1.2728361  -0.75553286\n",
      " -0.02199846 -0.5214519  -0.19520786 -3.032359    0.37370038 -0.9164389\n",
      " -0.998699    0.337484    0.30630362 -0.25734782 -0.93359834  2.8756008\n",
      " -0.31985292 -1.2903548   1.0155686   0.12772    -0.16795313 -0.8748457\n",
      " -0.9511483   0.11363971  0.6682727  -0.21390203  0.4147917  -0.1617911\n",
      "  0.39645028 -0.26246518  2.0682971  -0.05993319  0.40892372 -1.1715126\n",
      "  0.70274913 -1.655604   -0.752996    0.21982303  0.2576845   1.2815849\n",
      " -0.26323524  0.06215873 -2.1859052   0.3154416  -3.0858967  -0.34801266\n",
      " -0.8254645   0.10259818  1.8077489  -0.04692351  1.8474234  -0.9206675\n",
      "  0.28067306 -0.8891604  -0.19426174 -0.7102711   0.48857144  2.0091834\n",
      " -1.4513807   1.0403732  -0.34121206  1.371811    1.287268   -1.4226056\n",
      "  0.3833471   1.5288215   0.13872646 -1.7952818   0.4416119   1.2412376\n",
      "  0.26553705  0.5928407  -0.29281127 -1.4696194   1.8701414   0.33437154\n",
      " -0.32753438  0.11640714  0.40682834 -0.60782105 -0.54542774  0.7015652\n",
      "  0.41587445  0.5709507   0.5082541   4.046327   -1.6601218  -0.06896518\n",
      "  1.150022   -1.2250351  -1.3994434  -0.2902831   0.06145994  0.61506\n",
      " -0.66696304  1.4920143  -0.53820777 -3.2037923   1.4719964  -0.46288118\n",
      " -0.4830408  -1.8609107  -0.3377512   1.1002483   0.32744348 -0.12468456\n",
      " -1.9435062   1.1110854   1.2404169  -2.7827446  -2.0637107  -2.113843\n",
      "  0.6392876  -1.691853   -0.37859264  0.6241787  -0.6188506  -0.7899343\n",
      "  0.4423139  -0.7951147  -0.49389398  1.389828   -0.6869888   0.6805252\n",
      "  0.55732894 -1.1940312  -1.2699732   0.2288305  -0.1576436  -0.26674178\n",
      " -1.5746912   0.2807785   2.1846526   1.3830678  -1.0318696   0.8265828\n",
      "  2.9122064   0.94600165 -0.28260076  0.03848097 -2.4876387  -1.1093652\n",
      "  2.057064    1.9759071  -1.4057872   1.6534729  -0.44564545 -0.7549281\n",
      " -0.4072239  -1.3765763   0.7039911   0.12616788  1.4947886  -1.4207805\n",
      "  1.0826064   0.65061605  0.19236968 -0.5707852 ]\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/nfs/dust/cms/user/lbenato/anaconda3/envs/run3/lib/python3.7/site-packages/root_numpy/_hist.py:76: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  ROOT.AsCObject(hist), array, weights, return_indices)\n",
      "/nfs/dust/cms/user/lbenato/anaconda3/envs/run3/lib/python3.7/site-packages/root_numpy/_hist.py:76: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  ROOT.AsCObject(hist), array, weights, return_indices)\n",
      "/nfs/dust/cms/user/lbenato/anaconda3/envs/run3/lib/python3.7/site-packages/root_numpy/_hist.py:76: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  ROOT.AsCObject(hist), array, weights, return_indices)\n",
      "/nfs/dust/cms/user/lbenato/anaconda3/envs/run3/lib/python3.7/site-packages/root_numpy/_hist.py:76: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  ROOT.AsCObject(hist), array, weights, return_indices)\n",
      "/nfs/dust/cms/user/lbenato/anaconda3/envs/run3/lib/python3.7/site-packages/root_numpy/_hist.py:76: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  ROOT.AsCObject(hist), array, weights, return_indices)\n",
      "/nfs/dust/cms/user/lbenato/anaconda3/envs/run3/lib/python3.7/site-packages/root_numpy/_hist.py:76: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  ROOT.AsCObject(hist), array, weights, return_indices)\n",
      "/nfs/dust/cms/user/lbenato/anaconda3/envs/run3/lib/python3.7/site-packages/root_numpy/_hist.py:76: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  ROOT.AsCObject(hist), array, weights, return_indices)\n",
      "/nfs/dust/cms/user/lbenato/anaconda3/envs/run3/lib/python3.7/site-packages/root_numpy/_hist.py:76: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  ROOT.AsCObject(hist), array, weights, return_indices)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "data\n",
      "[12.038403  16.884743  17.358389  12.014587  17.662405   8.943701\n",
      "  6.3760166 15.163812  15.506328  14.623073  13.8919735 11.261017\n",
      " 17.156609  17.541233  13.065981  13.302079  14.612206  12.399175\n",
      "  8.775987   7.938585  15.05009   14.145179  16.269745  13.65181\n",
      " 10.847475  17.086601  16.857012  15.978151  10.057768  14.315134\n",
      " 17.071745   8.852262  15.9501    13.6705885 11.63724   10.216945\n",
      "  9.847326  12.412334   8.041883  17.12932   19.26352   11.610342\n",
      " 14.912439  11.652527  11.236127  15.516629   6.972524  14.172922\n",
      "  8.805673  15.785819   8.376162  15.491664  18.460308   9.551911\n",
      " 12.404592   9.02171   17.978992  15.1535635 16.16774   12.5882435\n",
      " 12.323563  14.346259   9.889868   9.026147   9.975755  12.103801\n",
      " 18.828207   9.341153  10.310187  10.153217  12.473062  19.673782\n",
      " 11.478233  17.331757  19.51079   15.425243  16.703522  16.221212\n",
      " 11.524867  12.9012    16.603058  13.75743   12.075018  16.039202\n",
      " 11.808077  12.068903  12.709469  15.480466  10.247122  10.890418\n",
      " 10.906058  15.314082  16.763628  16.83873   13.501619  10.795565\n",
      " 11.587892  10.943747  19.689857  13.266732   7.3397307 11.250445\n",
      " 12.785041  18.739416  11.335683  15.701231  16.282011  11.019768\n",
      "  8.935969  16.980175  15.018711  15.153956  16.004974  17.754042\n",
      " 17.440565  18.05203   18.1056    11.425932   9.796956   9.249129\n",
      " 13.205921   9.851055  19.014643  17.099478   8.815647  16.292559\n",
      "  8.925763  15.978566  19.92535    7.2384768 12.960863  10.021633\n",
      " 14.474555   8.464439  16.91944   13.492727  19.789028  19.210106\n",
      "  9.681651  16.195633  13.661077  15.422809  14.33744   10.538586\n",
      " 11.499595  12.914813  19.401308  13.985451  11.5478325 12.435315\n",
      "  9.968311  17.82444    8.233588  17.625463  17.977476  16.953823\n",
      " 17.064182  15.992905  12.282279  13.115406  19.644432   7.286729\n",
      "  8.34942    9.675977  16.196396  10.382744  14.115176  18.184568\n",
      " 15.3682375 12.384     18.731712  18.090315   4.132465  17.551407\n",
      " 19.282164  19.272076  17.695168  12.826909  10.91836    8.773319\n",
      " 17.295063  12.095066  10.972827  19.636497  19.405272  16.581547\n",
      " 18.388985   7.4062157 10.062606  18.362858  11.368857  11.791964\n",
      " 12.449097  11.703246   5.185896   8.249349   7.164998   9.942336\n",
      " 12.346594  16.380764  16.449417   8.577773  16.750418   7.7499576\n",
      " 15.430933   8.589942  11.606739  17.73138   12.89366   12.985829\n",
      "  8.890224  10.526867  15.343673  18.823952  19.680145  11.954906\n",
      " 11.818     16.597908  14.271301  17.530525  18.789211  10.485643\n",
      " 12.627774  12.236214  14.95425   14.832412   9.320524  18.890795\n",
      " 12.373102  18.18946   16.20331    8.482139  16.049908  12.096767\n",
      "  8.784638  16.675156   6.6257086  5.756097  12.449216  13.007173\n",
      " 18.877295  16.039072   9.325342  16.369053  10.573409   8.392365\n",
      "  7.4996405 16.956022  14.762724  12.673807  10.639474  13.9596\n",
      " 13.932257  10.186656  10.513239  11.229184   9.577364  11.202969\n",
      " 18.254251   5.936051  10.860849  11.0522995 13.31378    9.751223\n",
      " 17.438066  14.532349  10.110123  13.566972  12.912339  15.594861\n",
      " 10.283348   9.325834  11.679969   5.0783153 11.689445  12.907146\n",
      " 16.448011   9.484131   8.247446  18.446114  11.375809  16.682146\n",
      " 11.20774   17.862587  19.553595   9.601706  12.77802   13.97709\n",
      " 16.278648  16.814299  16.97358   10.235045  12.38286   17.904394\n",
      "  9.434217  18.768776  11.467822  10.83487   19.258068  11.831838\n",
      " 17.05261   13.064788  15.849029   7.8930645 10.475955  13.805473\n",
      "  8.308988  17.62416   10.175725  17.343735  14.858931  10.54372\n",
      " 19.852724  18.776628  11.19419   15.760706  17.27198   12.478738\n",
      " 13.436036  13.735895  19.66275   18.425514   9.095773   7.034772\n",
      " 11.450903  11.672662  13.794079  12.362172  18.039124  15.359553\n",
      " 19.770494  11.480816  12.777199  17.666695   6.2798243 16.360867\n",
      " 10.144144  15.93851    8.101862  14.324186   9.7148905 15.830581\n",
      " 13.282333  17.13976   10.182313  12.567461   8.089627   7.90592\n",
      "  8.068675   8.413232  17.058966   8.099916  11.382722  19.670534\n",
      " 12.805755  11.833281  12.255099  13.983569   9.405095  17.198215\n",
      " 15.971056  14.893645   9.588548  11.690994  15.525033  10.735608\n",
      " 17.570515  12.040431   6.9034696 13.199446  16.840088  11.242956\n",
      " 19.82783    8.289067  19.720531  11.8247175  7.276734  14.570728\n",
      " 14.828679  11.73253   13.684084  14.276522  11.157223  15.081024\n",
      " 19.327215  10.928708  17.484188  13.691772   9.21488   17.649862\n",
      "  9.168655  11.975506  11.354931  12.443528  18.766214   8.179244\n",
      " 18.852724  13.300593   7.339872  17.512337  16.19285   18.141924\n",
      "  9.545011  11.688146  15.797183  14.743403  15.662258  15.505569\n",
      " 14.447438  13.734333  16.101587  16.597935  12.749403  13.064747\n",
      " 12.449439  12.660699   8.92872   13.053446  18.143942  15.831045\n",
      " 19.423868  17.19086    6.259875  16.22601   12.914991  15.422264\n",
      " 13.802948  16.60712   11.778476   7.1268277 19.647827  12.913988\n",
      "  8.448768  15.7556925  6.543836  15.485992  12.798495   9.868452\n",
      " 16.344643  12.792514  16.51917   19.742308  12.525186  11.800259\n",
      " 19.540062  17.56248   15.198679  15.757848  10.349566   8.751188\n",
      " 10.072405  17.101112  16.151299  10.484562  11.720729  19.064495\n",
      " 14.411256  11.517112  10.64803   12.889007  12.653162  11.457002\n",
      "  9.419469   6.545337  16.536142  14.489572  16.648785   7.8574886\n",
      " 13.305896  15.090935  14.799703  12.503096  13.82686   14.002762\n",
      " 10.052092  14.374828  19.309202  14.466682  19.917133  10.74365\n",
      " 16.956617  11.425889  11.7683115 11.308752  15.690265  12.408702\n",
      " 11.252937  15.695393  17.687325  17.606192  12.667039  17.38847\n",
      " 18.36867   12.672522  12.211278  14.522069  16.01158   19.836454\n",
      " 10.067651  17.144855  18.112186  10.15017   11.489977  12.577788\n",
      " 12.073159  19.52802   11.085997  14.518613  16.727325  10.448097\n",
      " 13.1267    10.846254   7.226046  14.706252   8.996971  16.237942\n",
      " 13.031172  12.913685   9.51657    7.2152944 16.73551   13.133577\n",
      "  7.994235  17.428177   7.456805  10.485717  13.952036   8.32289\n",
      " 13.322621  12.468238  19.516924  14.710004  17.60364   14.110222\n",
      " 11.658155  14.073625  11.804554  11.751276  14.542474  15.11979\n",
      "  9.798801  11.399618  17.33474   14.707892  15.024328   7.5918384\n",
      " 13.56172   13.103155  15.020992  15.2144375 15.273722  12.911907\n",
      " 15.3469095 18.019768  16.421274  11.386787  15.181132  15.822536\n",
      " 12.69569   13.603677   8.300675  11.177222  18.27459   12.763595\n",
      " 11.669643  12.999218  17.005743  13.626248  18.219576   7.946463\n",
      " 10.073941  16.392715  17.20729    8.256449  10.221202  19.613672\n",
      " 10.395554  13.014724  14.340232  11.966114  12.608251   6.2134013\n",
      " 16.780457  19.391579   8.33882   12.572303  18.795174  16.530901\n",
      " 10.511964  17.277277  12.265417  14.60155   12.900573   9.035482\n",
      " 14.096267  18.783731  18.244827  10.181609  19.27692   18.003914\n",
      " 12.280861   8.377507  11.284097  18.832298  14.888002  10.047332\n",
      " 11.917779  11.319958  16.484213  13.274452  14.113249   7.6072598\n",
      "  9.794245  16.462141  11.978429   9.633026  15.705941  18.688704\n",
      "  9.257151  19.675432  19.759415  19.550573  18.10748   13.079772\n",
      " 18.24736   12.153034  18.631903   9.998026  14.878283   7.662637\n",
      " 16.422995   8.91905   15.460215  16.48422   13.5630665 15.39242\n",
      "  9.232194  14.830337  16.347748  11.597766  12.486558  14.3867855\n",
      " 13.410544  11.647966  11.674782  15.676342  11.514938  11.75104\n",
      " 12.712995  14.555007  11.407939   9.621436   8.962258  10.338545\n",
      " 15.999454  11.779304  18.567953  15.1985445  5.8475266 10.690129\n",
      " 16.056032  10.260113  15.799686  18.04838    8.662592   9.311598\n",
      " 13.488397  14.830406  14.340606   6.329142  17.294352  11.586968\n",
      " 14.638662  11.376979  11.793541  14.592103  12.423572  13.967626\n",
      " 10.158745  14.450545   9.494893  18.583086  14.1464815 11.733651\n",
      " 12.631074  12.788566  13.751097   7.4213963 16.143602   7.678785\n",
      " 15.104669   7.7535243 19.633642  10.774007  18.700052  16.12654\n",
      "  6.84076   17.219404   8.255087   9.622505  11.510057  15.617826\n",
      " 11.930857   7.4354687 11.364983  14.820224  14.251861  11.966533\n",
      " 19.807358  15.792284  11.2422905 10.892882   9.806364  12.169766\n",
      " 15.392056  19.334661  11.057878  14.058827  13.965465   6.4560595\n",
      " 14.76284   12.870698  14.601792  15.164615  10.858241  18.80838\n",
      " 17.914507  13.105171   8.643666  12.160788   6.527757  15.710567\n",
      " 12.609197  11.770506  13.193401  12.33692   19.30124    8.504997\n",
      " 15.787093   9.61881   15.949574  10.030079  13.532655   8.646029\n",
      "  9.954269  16.28774    7.762423  11.631458  17.151175  16.287241\n",
      "  7.517386  13.580722   9.427413  11.688842   9.349824  13.069267\n",
      " 16.612076  16.516825  15.968383  12.432142  10.056416  14.460583\n",
      " 13.92272   12.568139  18.974255  14.394911  13.823833  12.6021805\n",
      "  7.2721386 17.466837  13.503667  13.632161  11.417663  18.00117\n",
      " 13.894777  13.516215  10.933719  11.801601   9.721859  16.618332\n",
      " 13.054151   6.390499  11.898736  16.435143  12.372571  11.734217\n",
      " 16.32935   18.523563  14.9359665 16.53068   17.395554  15.228281\n",
      "  8.456964  17.788017  17.550934  10.001842   8.521832  11.1665125\n",
      "  6.30856   16.818604  13.252434  11.948911  11.805385  13.045571\n",
      " 15.187237  11.006164  11.7559395  9.014998  14.073863  14.424075\n",
      " 16.300283  13.946114  19.370567   9.948454  14.831501  16.350826\n",
      " 12.623851  15.677072  17.467216  18.236357  12.55923   16.148493\n",
      " 11.869343  15.814715   6.21431    7.9053698 13.353202  14.457091\n",
      " 12.192198  15.988635   7.944964   9.599594  16.477821  12.221274\n",
      " 15.562824  11.205675  19.92375   13.780431  16.277203  14.116188\n",
      " 14.0395    11.695732  15.318194  14.895897   8.317849  16.878967\n",
      " 11.250595  13.668478  13.950178   8.387497  15.874143  19.39243\n",
      " 10.830358  10.12281   13.610362  18.46543   12.258286  14.088116\n",
      " 10.978989  13.452295  19.482603  16.301006  15.932594  14.058989\n",
      " 12.742753  17.326397   7.377628 ]\n",
      "signal\n",
      "[11.280893  10.187193  12.397846  12.636858  11.868009  13.467606\n",
      "  8.850858  10.944169  11.273879   9.373218  12.161961  11.123202\n",
      "  8.783048  11.278169  11.353394  17.751223  10.820129   7.1285787\n",
      " 12.726471   8.940638  14.354878  17.118801  10.051915  10.949892\n",
      " 14.749706  12.225959   9.74383   10.710541  10.619797  11.113855\n",
      "  9.858208   9.950039  11.551067  13.121593   9.413445   7.700673\n",
      " 13.012729   9.739758  19.632645  11.782639  12.034116  10.6505785\n",
      " 11.060826  14.986528   9.081094  13.442562   9.885582   9.386675\n",
      " 10.882816  16.559587   8.951555  11.413789  14.488062  12.505503\n",
      "  9.646107  11.020671  12.615522  10.780387  14.1564245  8.965741\n",
      " 11.038985  10.870544   9.976787  11.731776   9.680538   7.6250763\n",
      "  9.140725  10.079327   9.683675  11.229671  13.808794   9.8722515\n",
      " 10.974973   9.1427355 11.777292  10.641261  15.007933   9.722801\n",
      " 11.099199  12.613599  13.18995   14.565211   9.680239   7.940092\n",
      " 10.60083   13.895341  11.75754   10.207664  18.80104   14.918815\n",
      " 10.862332  11.699385  11.5899515 10.21194   10.26278   18.457886\n",
      " 13.018913  10.191535  12.943122  12.819455   8.853346  15.584931\n",
      " 12.141191  12.660221  15.235559  13.828253   8.7322855  7.3909407\n",
      " 12.353248  15.10127    9.673709   9.097998  12.214765  15.390607\n",
      "  8.328264   7.7755547 13.126167   9.535019  11.767099  10.763355\n",
      " 10.316817  12.206485  14.973999   9.641537  10.11917   10.954378\n",
      " 11.382251  11.623859  11.051176  18.393003  10.30307   10.08165\n",
      " 13.621654   9.844687   9.568017   9.752101  13.543984  10.211028\n",
      "  7.662344  11.990371  12.838452  11.273655  14.079924  12.489003\n",
      " 10.64032   14.578672   9.619945   9.795272  13.194617  10.710728\n",
      "  8.847541   9.739397  19.710497   9.426665  11.269443  13.374406\n",
      " 14.296599   9.401901  11.396986  14.299571   9.9808235 11.078676\n",
      " 11.572339   9.393632   8.9080305 11.203371  11.127992  12.92703\n",
      " 11.543404  11.905085  10.60122   13.398823  11.400476   9.757724\n",
      " 15.25949   11.164343   8.083777  11.937235   9.314413  15.868401\n",
      " 13.753905  13.138711   9.227322  13.6132765 11.024169   9.920043\n",
      "  8.618563  17.94614   10.121026  11.233752   9.596139  11.307007\n",
      " 11.818039  10.074286   8.248072  10.474613  12.969768  11.033317\n",
      " 10.134158  15.755666   9.790436  13.719152  13.811842  19.218767\n",
      "  8.583277  10.569298   9.99228    9.311834  11.065013  10.639186\n",
      " 13.1125345 13.405647  11.55226   12.09053   10.494438  10.570654\n",
      " 11.925252  12.645641   5.2798862 11.437636  12.8485565 10.022328\n",
      " 10.248255  16.533976   9.95394   10.226836  10.791074   8.974784\n",
      " 10.325613  10.633916  10.621558  10.985662  12.734232  13.1346\n",
      "  9.840348  10.734357  14.845974  11.543125  10.919412  12.464916\n",
      "  7.46397    9.321811  11.235261  11.429387  12.445957  13.061988\n",
      " 10.014436   9.367179  17.425379  10.465195  10.080495   7.6979556\n",
      " 10.586454   8.639505   9.553835   8.298592  13.498491  10.015945\n",
      " 14.415057  10.120042  10.49933    8.852789  16.697615  11.457346\n",
      "  6.742554  14.157257  13.216338   9.808448   9.51602    8.759054\n",
      " 11.520716   8.722534  10.284575  11.158775   7.4778056 13.077724\n",
      " 12.845472  11.072603  11.3168125 11.219809  12.118112   7.7736664\n",
      " 17.636679   9.768433  13.259389  12.517856  12.699861  13.183164\n",
      " 13.096245  12.521162  11.171138  12.269867  10.783487  11.137904\n",
      "  7.7059975  5.2993503 14.4277    11.427936  11.652747  10.650813\n",
      " 10.118079   9.708315  11.0748205  9.263623  12.692057   6.9311047\n",
      " 15.086593  10.585377  10.070184  10.864902   6.814952  11.697057\n",
      " 14.071708   7.668348  11.794914  10.873892   9.833966   6.6656713\n",
      "  8.173823  11.269738   8.865301   8.974615  12.707693  13.256959\n",
      "  9.74197   13.740163  12.943673   9.1550865  7.639059  16.477884\n",
      " 11.95955   14.610213  11.846418  13.94293   11.341679  12.0283\n",
      "  7.9498377  8.387043  14.096135  10.698123  11.59212   10.735093\n",
      "  7.706288   7.1882133 11.067507  17.71463   10.769584   8.903534\n",
      "  9.804272  10.733988  10.792458  11.252804  11.950016  10.52648\n",
      " 16.40863   11.16108   14.849489   9.674246  14.666171   8.81488\n",
      " 11.999317   8.893392  15.853082  10.094738  11.42443   10.9681\n",
      " 11.813535  12.441955  11.555516  10.69963   11.304994   8.266713\n",
      " 12.934301  10.947369  11.404473  12.198535  11.695589  12.923657\n",
      " 13.7722645 10.173448  10.772094  10.964142   8.236972  12.462097\n",
      "  9.530173   9.47638   13.483195   9.057668  12.058461  11.517993\n",
      "  9.894147  10.805945  10.792842  10.2565775  9.442589   9.059886\n",
      " 12.07548   11.099548   7.4306564 10.049101   9.654286  10.591436\n",
      "  7.4726253 10.498048  12.51669   12.218939  13.5737505  8.556984\n",
      " 12.556363  12.266958  13.86248   15.302671  15.635911  10.57059\n",
      " 14.817615  15.7052145 11.363791   9.169793  10.9399805 10.526918\n",
      " 11.336223   7.7339396  8.547239  12.586705 ]\n",
      "data\n",
      "[18.988575  11.6220045 13.345699  12.212312  33.21817   11.789261\n",
      " 23.887665  16.40796   19.206776  11.576332  21.756935  19.76495\n",
      " 24.599792  19.547945  12.649611  14.836966  13.8179455 12.5438385\n",
      " 16.051846  15.901928  45.14376   17.799677  15.760637  16.2844\n",
      " 23.392775  18.56028   39.151653  23.789139  12.885909  12.696904\n",
      " 18.18922   14.101731  14.18138   24.218874  18.472502  16.91307\n",
      " 16.28644   15.498982  12.376314  14.825818  19.132507  26.593811\n",
      " 13.46765   24.93064    9.421736  30.115572  27.749554  17.8545\n",
      " 16.699749  32.572968  11.866989  10.775841  14.328296  16.097998\n",
      " 19.071684  16.363104  17.840555  21.210918  14.248322  18.327547\n",
      " 26.0527    16.774103  22.683243  13.329161  27.829975  17.594564\n",
      " 15.641496  16.251577  24.255135  18.574692  21.261866  34.15024\n",
      " 21.228539  14.580357  14.697838  17.941992  16.808271  11.856204\n",
      " 18.99183   12.409092   9.883976  22.956348  12.283758  17.40224\n",
      " 21.203787  10.375636  14.730994  14.617369  11.468328  18.824368\n",
      " 15.010467  14.113521  14.0919895 13.422321  17.33293   22.099949\n",
      " 13.839905  16.22059   11.290953  17.90731   13.988975  14.976448\n",
      " 14.861075  10.417063  15.307584  12.168867  20.669449  15.616585\n",
      " 14.900403  18.579361  16.36041   12.732938  49.043938  13.75455\n",
      " 11.824405  11.513231   6.494131  17.238707  12.875738  14.608023\n",
      " 13.690423  13.072963  11.41773   14.316821  20.679361  12.817507\n",
      " 14.7463255 34.43341   11.934875  29.031067  11.177468   9.257075\n",
      " 14.2563    12.659597  13.8098545 15.187683  10.73573   11.331074\n",
      " 16.740728  20.508286  14.274155  18.64418   14.76233    9.1305065\n",
      " 10.5927725 13.1978445 15.143142  18.15746   16.808132  20.994211\n",
      " 26.09915   10.701265  21.591215   9.971444  18.218826  12.629981\n",
      " 10.016101  18.901537  12.42245   11.272897  13.666399  23.765219\n",
      "  9.545102  17.456043  12.939659  20.503452  14.798318  24.825827\n",
      " 11.033109  15.755426  18.817497  12.188508  15.065677  22.489807\n",
      " 13.522429  16.831558  26.425972   9.128138  10.996167  45.350403\n",
      " 23.659063  21.251398  19.814434  17.928383  16.77324   38.89308\n",
      " 10.789203  11.698011  14.061659  11.855478  17.601477  26.081657\n",
      " 19.743582  13.304099  18.654501  36.13052   17.708376  35.694016\n",
      " 33.44908   13.620812   9.136745  19.069363  12.101156  13.727374\n",
      " 15.737399  15.981393  15.495608  17.313692  11.679269  12.729587\n",
      " 17.464869  14.270562  13.021545  14.77544   16.070232   9.098383\n",
      "  8.3732195 14.231456  17.025574  15.654847  27.130564  19.576538\n",
      " 11.149724  10.302419  15.157886  19.757204  25.745014  15.097912\n",
      " 17.748058  21.804222  17.010315  10.7049465 19.802263  11.621063\n",
      " 12.393178  11.43007   11.6890955 12.46936   42.550827  17.135115\n",
      " 10.917404  12.123693   7.6201296 12.145195  16.192465  13.902044\n",
      " 13.829031  20.603785  13.882104  16.340094  23.865631  13.7829075\n",
      " 12.045181  16.451857  14.674622  12.760403  25.97687   13.280837\n",
      " 14.758336  12.074863  14.591539  11.2683    12.884885  18.31701\n",
      " 13.0277405 15.893941  12.884155   9.448728  38.60955   17.517029\n",
      " 20.150023  22.412876  12.792408  14.47616   10.038226  10.147825\n",
      " 14.733881  19.018785  14.058362  22.517397   7.627201  13.881619\n",
      " 14.340769  25.872223  14.738595  17.204683  18.03732   10.792974\n",
      " 26.868994  16.657804  13.734024  14.10005   22.11833    7.569583\n",
      " 16.806904  11.735311  63.79278   13.067835  28.426214  13.891716\n",
      " 14.910685  12.718844  15.635977  21.404232  16.724918   9.420225\n",
      " 30.04757   18.418598  15.733818   9.884253  54.764458  12.255075\n",
      " 13.92252   15.472236  23.259687  16.496758  12.608053  12.37322\n",
      " 12.301948  15.054583  12.192703  29.034172  16.143637  19.370817\n",
      "  8.349081  11.571748  13.333742  10.978249  17.43262   10.488233\n",
      "  9.303843  53.62418   10.873862  15.540282  11.48776   15.664507\n",
      " 18.62474   11.780096  21.888765  12.724622  13.233596  12.132243\n",
      " 14.792122  15.234808   8.330304  20.824144  16.146833  12.192752\n",
      " 12.726197  13.737178  15.197033  16.192741   8.57489   10.651265\n",
      "  9.255435  14.87698   11.016148  18.942657  13.811977  30.929522\n",
      " 17.185307  11.482389  11.602371  17.383938  12.940402  10.48062\n",
      " 11.070247  13.193232  17.582537  14.246539  20.11878   18.019089\n",
      " 18.722078  12.582701  12.56505   11.839082  17.424343  17.108343\n",
      " 15.759945  21.295107   9.569187  23.174608  10.529763  15.068823\n",
      " 14.363462  13.743088  13.5249605 21.834478  14.526379  12.622148\n",
      " 16.812462  16.871668  12.769604  24.580324  14.890662  12.9120035\n",
      " 13.712416  17.254694  11.488272  14.380221   7.941997  18.19475\n",
      " 10.287388  10.418084  19.105274  16.849964  15.945099  14.012702\n",
      " 15.840231  32.5854    16.017765  11.054614  16.680069  25.783796\n",
      " 12.519068  19.96753   11.109932  14.489626  18.409903  15.44025\n",
      " 27.210104  21.712078  20.708895  25.68665   10.477687  19.166874\n",
      " 16.77126   19.264072  14.261568  11.445493  15.349248  27.265839\n",
      " 13.327718  24.706383  13.575182  14.53554   14.0753     9.553216\n",
      " 14.769035  15.410472  20.47688   24.47386   18.022148  12.315697\n",
      " 18.305334  20.57813   10.002376  16.9059    12.424084  29.886225\n",
      " 17.15103   17.55991   15.576211  24.459047  17.428772  28.21656\n",
      " 11.950946  13.947272  13.618871  15.720711  13.151869  16.125395\n",
      " 37.656048  19.44432   17.301352  12.610346  12.498173  17.730345\n",
      " 13.3267355 12.815334   9.5788355 11.060805  10.491692  17.133356\n",
      " 13.660167  24.144344  10.377567  17.281107  11.14857   50.19878\n",
      " 16.340338  18.375816  20.191301   9.824848  16.370415  13.771811\n",
      " 16.335567  23.66055   20.275414  20.84371   16.525072   9.113553\n",
      " 15.267657  16.18832   14.733107  13.268795  20.661142  29.076656\n",
      " 11.700186  15.077101   9.474479  14.484039  17.286053  18.949308\n",
      " 10.347597  16.651705  17.723787  18.19898   19.496931  20.38253\n",
      " 10.184869  13.995011  27.604155  18.170073  15.095705  12.367818\n",
      " 20.560095  16.315605  13.76522   37.68224   14.135736   9.213457\n",
      " 14.726893  10.196755  10.393871  17.16254   10.547299  18.070475\n",
      " 12.573186   9.828175  18.678305  13.45698   30.904959  10.594684\n",
      " 14.599078  17.903046  13.7411995 21.482555   9.197415  14.637902\n",
      " 18.296097  19.443531  15.85303   20.524393  13.628692  14.291171\n",
      " 15.949394  15.816672  19.12788   13.546005  25.963625  14.274474\n",
      " 13.069905  13.479114  20.28004   21.390266   9.287083  12.009648\n",
      " 32.290886  15.112273  17.507957  14.096952  14.213247  18.461367\n",
      " 17.629509  16.40969   10.836695  32.245647  39.150566  13.039538\n",
      " 12.317208  20.227106  23.955574  11.826026  13.266391  10.84477\n",
      " 15.803542  16.931808  17.734734  15.06795   12.139146  29.30824\n",
      " 21.037697  17.368147  11.611364  18.73596    9.709635  13.524828\n",
      " 14.837408  12.803617  26.16043   10.9979725 11.623563  18.078804\n",
      " 12.400886  11.046716  16.725628  14.29074   10.005718  64.99173\n",
      " 11.68192   10.821177  17.755587  14.190901  36.52963   24.445263\n",
      " 25.669453  18.919125  10.397295  14.137907  13.4224    12.382846\n",
      "  9.85647   19.400364  10.046096  48.51167   18.962397  22.797834\n",
      " 22.428473  14.958719  15.457357  11.771246  15.259854  17.473085\n",
      " 30.148458  10.78015   16.858225  21.342594  20.22407   21.700443\n",
      " 16.637976  15.412601  13.332776  13.9349375 19.91455   11.580028\n",
      " 10.023406  13.961383  17.008224  15.513394  11.401324  22.294695\n",
      " 43.297947  17.63156   15.354192  12.986507  16.14276   19.35599\n",
      " 15.323024  16.249525  12.578284  14.7323265 11.062577  10.024141\n",
      "  9.035065  14.306383  21.081654  15.47553   14.227446  14.241919\n",
      " 19.715792  13.341027  20.916162  15.799578  12.4535265 13.146717\n",
      " 22.774912   9.097135   7.163403  14.317242  25.333748  10.452249\n",
      " 13.571496  39.171383  12.492405  19.83322   13.726981  11.896203\n",
      " 13.087176  16.904123  12.552986  13.6545725 13.138381  13.187217\n",
      " 13.106338  14.686934  24.930758  12.520011  13.059138  18.517914\n",
      " 26.748394  27.034338  19.871365  18.101276  19.925701  21.590385\n",
      " 13.356019  35.548687  22.367105  17.085396  11.429991  23.859203\n",
      " 16.89571   12.60164   13.445638  20.347883  33.1241    17.508114\n",
      " 18.168217  15.71113    8.812189  12.933481  10.870283  18.619919\n",
      " 15.767462  10.5066185 21.551773  42.58406    7.903347  16.503187\n",
      " 12.461701  10.338442  18.488811  12.165212  17.373556  11.962287\n",
      " 15.951716  15.333888  16.749456  22.27912   12.217045  18.666428\n",
      " 14.983388  10.30268   13.065632  14.507843  19.04328   22.03252\n",
      " 13.223172  35.840267   9.951061  11.925528  24.589855   9.026647\n",
      " 11.759853  10.91429   47.286724  16.726028  14.032146  13.04979\n",
      " 11.811294  15.4702215 11.67787   28.320065  11.641904  12.781661\n",
      " 14.16641   13.902571  12.498565  17.979412  15.119392  17.844349\n",
      " 14.599148  16.381556  25.970066  12.185507   9.163694   9.218435\n",
      " 14.47573   12.325341  23.566885  17.588543  10.626637  15.749201\n",
      "  8.824842  15.573472  16.469385  12.533038  15.989631  10.718975\n",
      " 18.652084  12.444396  16.585636  13.207908  15.09836   18.206226\n",
      " 17.906185  11.325593  19.505535  16.741447  18.513834  21.047455\n",
      " 12.199434  14.195944  15.216171  17.413443   9.713754   9.884263\n",
      " 11.642704  10.247753  15.921119  16.617073  16.755102  15.9672785\n",
      " 10.251935  20.617413  19.302267  17.007694  35.52733   15.291531\n",
      " 11.595788  20.44233   17.860006  12.990304  14.934605  15.740791\n",
      " 16.867096  16.537428  13.151033  17.33863   26.924181  17.776617\n",
      " 22.529913  15.057257  43.194267  22.334848  16.490023  19.030237\n",
      " 15.874993  29.005413  14.314982  17.343384  14.77923   10.8878\n",
      " 14.922691  15.141802  13.284879  25.506847  11.544627  18.49853\n",
      " 17.270527  11.462812  13.03336   20.737848  14.315149  14.584535\n",
      " 18.706888  14.05009   19.442965  14.1293    14.324972   8.785068\n",
      " 12.845153  16.750574  15.873638  14.868723  11.7022505 10.327557\n",
      "  9.327166  15.367208  12.744984   9.823024  10.425079  26.605167\n",
      " 10.226566  15.474577  15.995662 ]\n",
      "signal\n",
      "[15.029882  13.894329   8.507962  10.616582  10.567592  10.522353\n",
      " 13.041087  19.836723  10.180002  11.705074  20.900833  13.251295\n",
      " 10.59296   10.246863  12.433676  13.2481165 10.873212  14.6156645\n",
      " 16.593122  11.237369   9.979715   8.6565275  9.580901  10.020883\n",
      "  9.913393  10.554961  10.31609    8.051735  12.511908  13.208779\n",
      " 11.237875  13.54713   11.5251665 12.132808  10.456561   9.669657\n",
      "  9.996143  10.1289425 12.457775   8.3737755 12.370788   9.79868\n",
      " 10.446638  10.783545  10.182262   9.769502  11.276672  10.472524\n",
      " 11.637819   8.055906   9.790562   8.728093  12.204613  14.303328\n",
      " 10.894074  14.522468   8.355735   9.71736    8.701867  10.908511\n",
      "  8.87428   18.35305   10.620962   9.62783   18.142023  10.708474\n",
      "  7.5506053 15.197707   8.938391  13.62567   15.689289  10.009589\n",
      " 11.140967  11.239861  11.539294   8.752769  10.759392  13.313895\n",
      " 11.929528   9.742145  12.075265  10.774242   9.312576   9.520686\n",
      " 11.42282   10.24148   13.834201  10.899417   8.71243   14.288197\n",
      " 16.428938  11.60334    9.14558   13.189176  10.035546   8.839853\n",
      "  9.465661  11.85354   10.745895  10.078299   8.112548  10.96475\n",
      " 10.615773  11.958456   9.288122   9.747948  12.029837  12.196008\n",
      " 15.265722  10.991439  10.4102545  8.739688  10.12997    9.318512\n",
      "  9.178983  13.507723  10.150196  11.10043   10.648665  10.71687\n",
      " 10.142609  11.64103   11.4423895  9.9676485 10.713121  10.455991\n",
      " 13.501552  11.425973   9.430359  16.318079  10.668647  13.520727\n",
      " 11.760734  19.46434    8.899579  11.649952  11.853951  11.5064125\n",
      " 11.49742   10.769094  10.137677   8.660836  10.082197  10.497688\n",
      " 10.116012  12.179967  10.635071   8.606051  11.470649  10.0833025\n",
      "  9.342196  12.662779  15.165631  10.893065  13.140232  10.388564\n",
      "  8.980082   8.546403  10.080974   9.778449  11.662919   7.217005\n",
      " 11.582512  11.415669  12.233714  12.434214   9.472608  13.402709\n",
      " 14.846853  11.432861  10.033018  13.332405  12.771295  11.025654\n",
      " 11.157804  14.060057  10.852234   8.940871  11.212349  11.057001\n",
      "  9.646175  10.986727  10.702499  11.727411   9.837139  13.2422905\n",
      "  9.359082  11.004721  10.242537  12.568605  10.913983   9.228454\n",
      " 11.711352  10.243374  10.0403805 10.754791  13.231069  10.060125\n",
      "  8.714198  10.576165  10.439042  10.115786   9.988837  10.941213\n",
      " 10.795504  12.256286  11.310771  11.823208  11.713668  11.068045\n",
      " 10.69052   11.613653   9.844035  12.960911  11.630606   9.437693\n",
      "  9.6077385 12.613632  10.897807   8.6269865 11.134497   9.180806\n",
      "  8.003467  10.704413  13.06904    8.97652    8.150227  11.835624\n",
      " 13.16695    8.361104  10.53914   14.512254  12.30849   11.200557\n",
      " 12.626308  17.340036   8.150084  11.173991  10.100458  12.341732\n",
      " 10.700344  10.075095  12.493617  13.950159  10.207546   9.327253\n",
      " 11.7417555 11.261379  12.436223  11.352064  12.219476   8.583421\n",
      "  9.037484  13.716952  13.242209  11.085993  13.7275305  8.881561\n",
      " 10.637087  11.703145   9.876491  13.836495  12.725429  11.499862\n",
      "  9.242121  12.634967   9.51818   10.842962  12.461602  10.451201\n",
      " 10.220767  10.885656   8.455597   8.669157  12.002968  11.842702\n",
      " 17.353764  10.751445  13.291879  10.124467   9.450729  10.558675\n",
      " 11.841231   9.980064  10.663305  19.385132   8.987103  11.926408\n",
      "  9.631758  10.9665575  8.604097  13.443803   9.298607  15.016297\n",
      "  9.51445   12.1806135 10.471255  13.005427  11.190737  10.704697\n",
      " 14.098766   9.299681  14.3025055 10.537287   9.991342  11.868575\n",
      " 11.335493   7.7309685  9.103964  11.216357  11.586758  11.140003\n",
      "  9.735773   8.543281  15.676579  11.630684  11.357461   9.053313\n",
      " 12.719971  12.596861  16.81879   13.309383  11.443665  11.774549\n",
      " 11.221366   9.357408  12.185047  17.097315  10.233022  13.059489\n",
      "  9.468746  10.049057  11.170298   9.565029  11.032386  13.299308\n",
      "  9.617939  15.255767  10.60739    8.764044  16.42624   12.425818\n",
      "  9.044441   9.7901535 10.4415    11.35468   10.021583  10.714831\n",
      " 11.523155  10.090473  16.86144   19.700785   9.24279   15.652516\n",
      " 11.584019  10.360708  10.81726   11.342626  11.37974    9.651619\n",
      "  9.689599  18.488127  11.857354   9.757558  22.360563   8.462805\n",
      " 10.950513  10.289187   9.616091  10.571994   9.810868  11.63511\n",
      " 10.448515  16.826023   9.640946  15.111487   7.5076513 14.851299\n",
      " 10.665626  11.675304  11.418705  12.208831  11.661918  10.369001\n",
      " 10.992452   9.356775  11.15799   12.923136   9.978776   9.716801\n",
      " 12.946753  13.124908  11.137542  11.690124  11.74114    9.4319515\n",
      "  9.364972   7.788933  12.790307  14.116026  13.322088  14.280901\n",
      " 10.643786  11.742663  15.278236  11.084906   9.853213  11.376125\n",
      "  8.481139   9.136682  11.296773  12.587793  10.920122  11.1579895\n",
      " 22.789476   8.985876  13.098273  12.237652  12.6135435  9.482591\n",
      " 12.930687   9.579812  12.737371  10.027042 ]\n",
      "data\n",
      "[1.58247441e-01 3.60948622e-01 3.00208151e-01 4.46060598e-02\n",
      " 1.34837627e-02 5.59383869e-01 8.18200409e-02 8.22956860e-02\n",
      " 6.04056120e-02 6.02075279e-01 1.60896182e-02 6.43749416e-01\n",
      " 6.54905260e-01 2.63015032e-02 8.83049428e-01 3.14864695e-01\n",
      " 8.62683654e-01 1.00046396e-03 9.16735530e-01 6.78398311e-02\n",
      " 3.76881659e-02 3.21409822e-01 1.68398023e-03 3.54809165e-02\n",
      " 1.06850777e-04 2.91959941e-02 7.92531428e-05 5.17243266e-01\n",
      " 4.62385923e-01 6.34217262e-03 3.67778540e-03 7.97805190e-03\n",
      " 3.08167875e-01 6.37149811e-03 6.66139126e-02 9.45380807e-01\n",
      " 1.99484855e-01 9.95763540e-01 2.53425002e-01 7.82810450e-02\n",
      " 1.05353326e-01 5.91128051e-01 5.26675582e-03 5.04739583e-02\n",
      " 4.40534055e-02 6.30223751e-03 8.55625927e-01 8.69452596e-01\n",
      " 9.59730864e-01 3.15770447e-01 6.06716990e-01 8.52171779e-02\n",
      " 3.68252695e-01 3.85566056e-02 4.36345041e-02 3.70454788e-02\n",
      " 3.25856980e-10 6.30548894e-01 1.51771486e-01 9.38684106e-01\n",
      " 1.44753963e-01 4.58458066e-03 6.67429388e-01 2.65418291e-01\n",
      " 2.46373683e-01 5.06346107e-01 1.08906925e-02 2.74260163e-01\n",
      " 9.31888819e-04 1.35332644e-02 5.57162762e-01 5.51749289e-01\n",
      " 1.05524063e-03 1.95232034e-02 4.28320885e-01 2.32748091e-02\n",
      " 1.10542893e-01 4.11579013e-03 2.68308520e-02 1.53671175e-01\n",
      " 6.81252658e-01 1.96836472e-01 9.81879056e-01 1.32415295e-02\n",
      " 9.37427163e-01 6.58503771e-02 1.38899624e-01 2.33004987e-02\n",
      " 2.23170608e-01 6.58658743e-01 8.60420287e-01 7.34032691e-02\n",
      " 8.14651489e-01 4.09983248e-01 9.00550783e-01 2.99355090e-02\n",
      " 3.44311357e-01 2.52207249e-01 9.04887915e-04 8.45280886e-01\n",
      " 4.31554079e-01 4.14145350e-01 2.95493484e-01 2.31029689e-02\n",
      " 2.98250139e-01 3.87382507e-03 4.80873674e-01 3.18707824e-02\n",
      " 5.24654090e-02 9.74900424e-02 1.59298390e-01 4.88630801e-01\n",
      " 5.20876944e-02 5.44837117e-03 4.36386824e-01 8.30018222e-02\n",
      " 3.20345163e-04 6.14551902e-01 6.58601522e-04 9.29355383e-01\n",
      " 9.50686693e-01 3.90837461e-01 1.49751306e-02 6.83902800e-02\n",
      " 5.23115754e-01 5.10150969e-01 3.59557509e-01 2.50844657e-02\n",
      " 1.26523018e-01 6.51129484e-02 2.80002356e-02 3.37946415e-03\n",
      " 1.48267537e-01 4.77542639e-01 3.04908752e-02 9.82912183e-01\n",
      " 3.37277055e-02 9.71347094e-04 4.14885998e-01 1.58300132e-01\n",
      " 4.51212227e-02 3.11493009e-01 9.85434651e-03 2.71369398e-01\n",
      " 1.18326247e-02 7.36389399e-01 2.03713864e-01 7.07676172e-01\n",
      " 9.30552900e-01 7.71877170e-03 9.70918894e-01 4.24400866e-01\n",
      " 1.28777236e-01 1.86263025e-02 1.10645890e-02 5.21266460e-03\n",
      " 6.52747214e-01 8.60407948e-03 1.04769504e-04 2.53410399e-01\n",
      " 1.33022070e-02 2.37178206e-02 4.82149392e-01 6.23165369e-01\n",
      " 3.84643078e-02 9.50756907e-01 2.23840773e-02 1.76033378e-03\n",
      " 8.43432784e-01 7.89105892e-04 1.06462538e-02 1.93500370e-01\n",
      " 4.79914576e-01 4.16949391e-03 7.02790618e-02 2.15831041e-01\n",
      " 3.48955393e-03 5.84900379e-04 8.21460187e-02 9.12835121e-01\n",
      " 9.12765861e-02 2.34300315e-01 4.78381217e-02 8.93760383e-01\n",
      " 2.63020098e-01 9.83452797e-03 3.69504094e-03 8.77534568e-01\n",
      " 9.88097668e-01 3.11714768e-01 1.36387050e-02 5.48696518e-03\n",
      " 7.66053557e-01 6.39930367e-03 3.22695553e-01 7.82842636e-01\n",
      " 8.81267309e-01 1.70721740e-01 5.45224071e-01 5.05990326e-01\n",
      " 9.70652699e-03 1.56965256e-02 5.48169792e-01 5.53523362e-01\n",
      " 9.07568157e-01 1.39684916e-01 1.06796622e-02 5.60155511e-03\n",
      " 4.76333499e-03 1.82732940e-01 1.95610911e-01 2.21013725e-01\n",
      " 1.98945582e-01 8.02060962e-03 8.64945352e-02 4.68667060e-01\n",
      " 1.83368027e-02 6.63936138e-04 1.59734488e-02 4.91797924e-04\n",
      " 3.80714774e-01 6.22731447e-03 5.31421602e-02 7.54213333e-03\n",
      " 1.57002568e-01 1.04552507e-03 1.19185090e-01 6.73446655e-02\n",
      " 5.48665762e-01 2.77259946e-03 5.80585003e-02 2.19375193e-02\n",
      " 5.70896745e-01 1.52797401e-02 7.83354878e-01 4.85524058e-01\n",
      " 9.14025903e-01 2.62767673e-02 4.05758321e-01 8.25253427e-02\n",
      " 2.66238153e-02 3.99584621e-01 5.21851063e-01 4.48799223e-01\n",
      " 1.16699964e-01 4.57465649e-04 3.51011753e-03 1.18471384e-02\n",
      " 9.72158074e-01 5.18277764e-01 1.26708746e-02 4.26813066e-02\n",
      " 5.72949648e-04 4.54847515e-02 1.56211853e-03 3.89902771e-01\n",
      " 5.28154075e-02 6.65333867e-03 1.23610497e-02 9.09756184e-01\n",
      " 6.44083619e-01 5.12232905e-16 2.65282035e-01 4.52571511e-02\n",
      " 3.93387079e-02 7.97748566e-03 2.40254402e-03 2.04955786e-01\n",
      " 3.19574028e-01 1.08329952e-01 3.55889201e-02 9.03354049e-01\n",
      " 1.59604698e-01 4.66459990e-03 6.07299805e-02 5.02711535e-02\n",
      " 1.18193328e-02 1.38130784e-02 9.00980115e-01 3.98386717e-02\n",
      " 9.02723014e-01 5.15207231e-01 1.46822035e-02 2.47937441e-02\n",
      " 7.64478207e-01 8.83926511e-01 1.32074952e-03 4.39383745e-01\n",
      " 1.34616792e-02 6.03323579e-02 4.25957441e-02 7.58030534e-01\n",
      " 1.34128332e-01 9.68069553e-01 2.15963721e-01 9.26493168e-01\n",
      " 5.87171078e-01 3.59058855e-12 1.81739748e-01 8.74068439e-01\n",
      " 3.57314348e-02 2.60596871e-01 3.73208523e-01 1.34043127e-01\n",
      " 1.38595790e-01 3.18014443e-01 1.57432441e-05 8.57095778e-01\n",
      " 8.71755004e-01 2.27361232e-01 5.76893985e-01 1.75399482e-02\n",
      " 1.34295225e-03 1.04260176e-01 4.17042673e-02 6.32504940e-01\n",
      " 4.05976474e-02 4.28983778e-01 3.52519155e-02 3.95278752e-01\n",
      " 5.26823699e-02 3.37251723e-02 4.57579076e-01 9.80499387e-03\n",
      " 6.15128875e-03 7.91805685e-01 6.47170544e-02 1.25797689e-02\n",
      " 6.77840173e-01 3.36867273e-02 1.72564089e-01 2.77890877e-06\n",
      " 5.62668741e-01 5.59450686e-02 9.93137062e-02 8.72864783e-01\n",
      " 3.05414200e-03 9.96782482e-01 9.01414275e-01 5.35500050e-02\n",
      " 8.63878131e-01 2.16135383e-03 1.59941792e-01 3.78680825e-02\n",
      " 4.67324197e-01 5.43105602e-03 4.43579048e-01 4.24218893e-01\n",
      " 6.36394739e-01 9.80955482e-01 3.33647728e-02 1.61596566e-01\n",
      " 1.34333968e-03 1.30385160e-03 4.01253998e-02 9.76970732e-01\n",
      " 2.79998779e-03 4.97177541e-02 1.25624329e-01 1.59643292e-02\n",
      " 3.16223502e-03 5.79157472e-02 4.17096019e-02 6.33183420e-01\n",
      " 9.71304178e-01 4.30074036e-02 3.04896235e-02 2.32994556e-04\n",
      " 4.24635977e-01 9.06888723e-01 1.11344934e-01 4.45542037e-02\n",
      " 9.43473339e-01 2.53486335e-01 1.30778253e-01 7.78819621e-02\n",
      " 9.98659730e-01 8.01689386e-01 8.98129046e-02 1.66486800e-02\n",
      " 3.97166610e-02 1.43885612e-04 1.23304129e-02 2.12181509e-02\n",
      " 1.36551261e-03 3.78961623e-01 3.57256532e-01 2.08541751e-03\n",
      " 5.92265427e-02 2.63816416e-02 6.44206703e-02 6.13293350e-02\n",
      " 3.11983109e-01 4.98801470e-04 6.97114170e-01 1.81139439e-01\n",
      " 1.04475468e-01 1.06925905e-01 4.92246568e-01 1.35434806e-01\n",
      " 2.11184025e-02 9.38287675e-01 2.20155716e-02 9.31649566e-01\n",
      " 7.98738003e-02 2.98323989e-01 7.85822868e-01 4.63967264e-01\n",
      " 3.77025008e-02 7.45981932e-04 8.78461719e-01 2.43063867e-02\n",
      " 1.62462592e-02 5.54949880e-01 3.46767902e-03 3.23325843e-01\n",
      " 7.12108612e-03 9.33575392e-01 1.76357329e-02 3.13816369e-02\n",
      " 2.98923045e-01 1.37659460e-01 9.13198054e-01 1.70260370e-02\n",
      " 1.17677957e-01 1.99098557e-01 1.45313501e-01 1.62708908e-01\n",
      " 3.60030830e-02 8.84650230e-01 1.70144439e-03 5.82665205e-04\n",
      " 9.26619887e-01 1.20791197e-02 4.65367258e-01 2.58181393e-01\n",
      " 5.22868335e-02 5.50652742e-02 1.97027177e-01 5.70417713e-09\n",
      " 1.22381479e-01 1.05323970e-01 6.63459301e-03 2.31101394e-01\n",
      " 4.89728838e-01 2.31217802e-01 9.19471383e-01 2.25371420e-02\n",
      " 9.78479743e-01 2.97665328e-01 9.74002123e-01 2.13532805e-01\n",
      " 7.05667853e-01 7.31873388e-06 9.26949978e-01 3.85060012e-02\n",
      " 4.68758047e-02 2.05051601e-02 4.51113343e-01 2.31579334e-01\n",
      " 2.11027235e-01 7.54833221e-04 9.34094191e-04 2.09790766e-02\n",
      " 7.97957182e-02 5.15115261e-03 4.12944257e-02 4.17359769e-01\n",
      " 5.75917959e-03 7.40971684e-01 8.00067365e-01 2.50702798e-02\n",
      " 5.53141296e-01 1.40947700e-02 5.76665998e-03 1.03080869e-02\n",
      " 1.82949364e-01 2.67505646e-03 7.23454356e-03 7.86701094e-06\n",
      " 2.08871067e-01 6.13423586e-02 7.13739097e-02 2.93400665e-10\n",
      " 2.59566009e-02 7.00116158e-04 1.58834815e-01 4.70156372e-02\n",
      " 2.36749262e-01 8.60220194e-03 1.34617090e-04 1.59409344e-02\n",
      " 9.88960266e-04 3.36456001e-01 3.51194650e-01 8.76860380e-01\n",
      " 1.07538402e-01 4.08088535e-01 6.48113191e-02 1.60841942e-02\n",
      " 6.21876776e-01 6.81638718e-04 9.74190235e-03 8.30051899e-02\n",
      " 2.73874402e-03 2.09701955e-02 6.78530335e-03 2.03545183e-01\n",
      " 2.38899767e-01 3.45134914e-01 2.97291428e-01 2.18586028e-02\n",
      " 8.96716475e-01 4.25613523e-02 8.24393332e-02 5.77960074e-01\n",
      " 3.24257612e-02 3.46487164e-02 9.23206091e-01 3.90801162e-01\n",
      " 2.58174539e-01 9.24510539e-01 4.14869785e-01 1.71968341e-01\n",
      " 4.05014962e-01 1.64764524e-02 4.19884920e-04 6.08942032e-01\n",
      " 5.00913560e-01 1.17341578e-02 2.50097692e-01 2.76707411e-01\n",
      " 8.78175497e-01 4.83669639e-02 3.09142113e-01 2.19341964e-01\n",
      " 9.40587878e-01 3.38038802e-02 9.15277004e-03 1.85688794e-01\n",
      " 5.70260167e-01 6.34421706e-02 7.72988796e-03 2.38166749e-02\n",
      " 1.23018622e-02 5.62167168e-03 9.42820311e-03 8.47856998e-02\n",
      " 5.92345595e-02 4.40426290e-01 6.46021068e-02 1.46223282e-08\n",
      " 4.88790870e-03 2.15623408e-09 5.78893185e-01 9.19100940e-02\n",
      " 8.50715518e-01 5.65743446e-03 6.76259160e-01 5.27483225e-03\n",
      " 8.64942312e-01 2.94356346e-01 4.38895822e-03 7.10449040e-01\n",
      " 7.68423080e-04 4.43073452e-01 5.62957406e-01 1.43258363e-01\n",
      " 3.07586789e-02 4.37064856e-01 1.31821632e-03 1.08162761e-02\n",
      " 6.20568395e-02 2.78054774e-02 5.21140397e-01 4.59091663e-02\n",
      " 2.76457965e-02 1.49114728e-02 2.19787955e-02 2.06887871e-01\n",
      " 8.11606646e-04 8.07851553e-04 1.10397935e-02 2.10343868e-01\n",
      " 3.62298489e-02 7.46239603e-01 1.94662124e-01 4.17637527e-02\n",
      " 2.34336555e-02 5.56314826e-01 6.27166390e-01 2.61462331e-02\n",
      " 8.01315010e-02 2.95783281e-01 2.35059559e-02 6.52364612e-01\n",
      " 8.04454088e-04 5.27344644e-01 4.09428209e-01 7.33649731e-03\n",
      " 2.51928568e-18 8.88675451e-04 6.30594790e-01 5.05673885e-03\n",
      " 2.56320953e-01 6.21961355e-02 4.33826447e-02 7.27340579e-03\n",
      " 3.71914506e-02 4.46963191e-01 8.12142491e-01 2.46410072e-01\n",
      " 2.17072904e-01 7.39243329e-02 1.89986825e-03 3.60729098e-02\n",
      " 6.10741675e-02 3.15198243e-01 3.93008351e-01 1.16812196e-04\n",
      " 4.61310446e-01 1.65048242e-02 5.28786719e-01 1.23130769e-01\n",
      " 1.52321458e-02 4.92423773e-03 1.70365781e-01 7.94430971e-02\n",
      " 1.35462582e-02 6.23123050e-02 6.62895441e-01 5.85791171e-02\n",
      " 8.36442113e-01 5.07524610e-03 3.62060070e-02 3.96052599e-02\n",
      " 7.20089197e-01 1.76542699e-02 6.64588809e-03 4.24344808e-01\n",
      " 1.47431074e-05 4.60973561e-01 2.64033198e-01 4.65892255e-02\n",
      " 3.15012038e-02 5.29312372e-01 4.19130027e-02 5.94636023e-01\n",
      " 3.34551632e-01 3.89503837e-02 3.23678195e-01 9.15253758e-02\n",
      " 3.59897017e-02 3.04624438e-03 7.13667274e-02 9.93097305e-01\n",
      " 6.24755339e-05 6.29224062e-01 8.43057036e-02 3.79543602e-02\n",
      " 5.53222537e-01 9.13545012e-01 8.23678076e-01 1.99382603e-02\n",
      " 4.43860292e-01 7.40745425e-01 1.60748750e-01 2.06392705e-02\n",
      " 7.29939699e-01 8.28352571e-03 9.02232528e-03 1.26209259e-02\n",
      " 1.34672880e-01 8.56369734e-04 4.02087867e-02 8.25460553e-02\n",
      " 9.57540512e-01 1.93395317e-02 6.04440868e-01 6.17809594e-01\n",
      " 3.75684202e-02 1.88589096e-04 4.73496020e-02 7.71969557e-03\n",
      " 2.69894660e-01 2.23960876e-02 1.10712171e-01 8.90521109e-02\n",
      " 1.11250401e-01 2.96689242e-01 1.49859190e-02 4.29299474e-03\n",
      " 4.17113304e-04 3.03166687e-01 7.47209787e-02 4.12525058e-01\n",
      " 3.96043062e-04 2.54582196e-01 5.75939417e-01 7.62762427e-01\n",
      " 6.61709905e-01 3.10936093e-01 1.28662586e-03 2.58342355e-01\n",
      " 3.35345358e-01 3.17461789e-02 1.85589721e-11 2.88806260e-02\n",
      " 7.49008358e-02 2.05538005e-01 8.74676585e-01 5.75981438e-02\n",
      " 2.65698418e-06 6.67310238e-01 3.08408499e-01 1.74796581e-02\n",
      " 8.93735230e-01 1.98152065e-02 7.56726623e-01 8.20120692e-01\n",
      " 4.70716953e-02 1.61085755e-01 1.82538033e-02 2.75112092e-01\n",
      " 7.02711046e-02 9.45144713e-01 3.04411232e-01 3.33558917e-02\n",
      " 2.98328698e-01 5.10680974e-02 5.51378429e-02 1.65240765e-02\n",
      " 4.27752733e-04 5.82228899e-01 4.48571146e-02 1.66535378e-04\n",
      " 1.06764585e-01 6.12289667e-01 1.63918453e-13 6.04874015e-01\n",
      " 6.33090019e-01 5.45877218e-03 7.70604610e-01 2.05934197e-01\n",
      " 9.10316825e-01 1.43733174e-01 1.68526173e-01 2.81579792e-02\n",
      " 1.87769532e-02 1.89630687e-02 9.66972589e-01 8.13797593e-01\n",
      " 9.76079702e-01 4.04035747e-01 7.01015294e-02 1.43263817e-01\n",
      " 9.23225582e-02 5.73447108e-01 4.78604823e-01 1.40525401e-02\n",
      " 5.47874570e-02 5.95920384e-01 8.66591930e-04 2.24268198e-01\n",
      " 3.27289104e-03 1.62434876e-02 1.20429904e-04 5.01559079e-02\n",
      " 9.23270822e-01 1.41897798e-03 4.96129930e-01 1.30201757e-01\n",
      " 8.85262609e-01 2.35432386e-03 9.01877186e-08 1.89339995e-01\n",
      " 1.71758533e-02 9.75811183e-02 2.14397311e-02 1.90544128e-03\n",
      " 1.06016099e-02 1.37306154e-02 8.36580992e-03 6.26855195e-02\n",
      " 6.52529478e-01 2.07008719e-02 8.66005540e-01 7.45479465e-02\n",
      " 2.95249522e-02 8.71002913e-01 5.63579798e-03 6.30981028e-02\n",
      " 7.44824409e-01 1.47034347e-01 2.88558900e-02 2.57417321e-01\n",
      " 7.34119117e-02 5.72088063e-02 9.83702183e-01 1.95905000e-01\n",
      " 5.31607389e-01 5.84520459e-01 5.29736280e-04 1.46834254e-02\n",
      " 6.30957484e-02 5.03780186e-01 9.03512597e-01 4.11474407e-01\n",
      " 2.53936350e-02 8.38541389e-01 2.69371569e-02 1.29771531e-02\n",
      " 3.63802910e-03 8.92931223e-03 2.05606222e-04 1.12586558e-01\n",
      " 9.73767996e-01 3.05555463e-02 4.49536592e-01 9.50531781e-01\n",
      " 8.67724538e-01 6.87875450e-02 3.32838625e-01 1.20566365e-05\n",
      " 3.69530022e-02 2.75042589e-06 4.55186069e-02 3.56478989e-02\n",
      " 2.61169076e-02 5.02146482e-02 4.94189858e-02 1.17166701e-05\n",
      " 8.49019408e-01 5.44133782e-03 6.94305003e-02 1.23969316e-02\n",
      " 9.12087560e-02 5.38605094e-01 6.61460757e-02 6.19277835e-01\n",
      " 9.53443170e-01 5.62321544e-02 6.26130998e-02 1.63002312e-02\n",
      " 4.15509641e-02 9.94026542e-01 1.78441107e-02 6.09785318e-04\n",
      " 6.70928478e-01 2.40440935e-01 1.38608515e-02 8.25954378e-02\n",
      " 3.40001881e-02 4.16841447e-01 1.74058378e-02 3.95452261e-01\n",
      " 4.63389151e-05 2.37078249e-01 5.63792884e-02 5.29637933e-03\n",
      " 1.14735365e-02 3.84199321e-02 1.27546549e-01 1.99407399e-01\n",
      " 2.28410959e-03 2.27258325e-01 1.05115771e-02]\n",
      "signal\n",
      "[0.9241508  0.9503815  0.9323242  0.933422   0.995026   0.90556836\n",
      " 0.9653597  0.9763055  0.991996   0.9733031  0.3553303  0.8479488\n",
      " 0.9650411  0.973758   0.7115962  0.8452041  0.9400678  0.9984913\n",
      " 0.999267   0.99815154 0.0021069  0.9929415  0.7448202  0.88092744\n",
      " 0.7898959  0.9472287  0.97337925 0.18548653 0.96914816 0.16017705\n",
      " 0.8812728  0.998266   0.57408684 0.85435927 0.90673196 0.79592234\n",
      " 0.9356481  0.9519783  0.9685685  0.91223145 0.7487022  0.45575833\n",
      " 0.8947964  0.9956807  0.9334197  0.9592887  0.8845377  0.0124405\n",
      " 0.5004731  0.2599297  0.9780996  0.07683101 0.9258945  0.13789633\n",
      " 0.9722607  0.9554539  0.6791628  0.98686075 0.9347185  0.00317052\n",
      " 0.9090613  0.66674834 0.51748466 0.9963258  0.9955729  0.86377275\n",
      " 0.11332041 0.03783384 0.8906598  0.9196079  0.94451344 0.9802474\n",
      " 0.9679775  0.98385864 0.99883294 0.99784017 0.9480978  0.96730304\n",
      " 0.9954145  0.7908046  0.96527755 0.95161223 0.9123362  0.07362601\n",
      " 0.75532424 0.9857938  0.46400934 0.9728179  0.82273275 0.9460973\n",
      " 0.9988984  0.9450607  0.8527628  0.03013706 0.5453247  0.9746229\n",
      " 0.86621493 0.9841757  0.99791926 0.9295114  0.99787456 0.4957512\n",
      " 0.9945512  0.96991575 0.9885694  0.7881392  0.9937471  0.8955402\n",
      " 0.99918616 0.9962828  0.9789127  0.9799704  0.80665284 0.8218428\n",
      " 0.9656584  0.9925824  0.93380445 0.9174404  0.95819354 0.99452114\n",
      " 0.62303084 0.00832453 0.33214557 0.95483744 0.7265078  0.15609393\n",
      " 0.90425014 0.99960077 0.9674407  0.21495304 0.00624973 0.5185625\n",
      " 0.21704933 0.2636924  0.73951435 0.92271197 0.9969363  0.55858326\n",
      " 0.06073937 0.9684392  0.9575212  0.07153296 0.9966886  0.9727407\n",
      " 0.9979996  0.830469   0.88440794 0.9901426  0.99427915 0.9919448\n",
      " 0.9988352  0.9913025  0.98444813 0.98124874 0.08619413 0.986096\n",
      " 0.96084386 0.9685805  0.9942305  0.84906137 0.9636239  0.9901927\n",
      " 0.98740447 0.9370908  0.9898937  0.97251356 0.13230991 0.44677854\n",
      " 0.7941464  0.08548343 0.9911949  0.66785634 0.3069011  0.9488418\n",
      " 0.7140417  0.93161654 0.9251087  0.9693223  0.9954789  0.09301069\n",
      " 0.98388517 0.93369037 0.1773952  0.88542664 0.27246508 0.01491392\n",
      " 0.9429647  0.9091225  0.9694723  0.9990125  0.593501   0.9902384\n",
      " 0.9905498  0.6224781  0.8257674  0.9994937  0.92320156 0.9754277\n",
      " 0.7874479  0.9812569  0.92890984 0.9511043  0.8744563  0.72531945\n",
      " 0.5508299  0.9008466  0.385365   0.85555315 0.9973741  0.55023015\n",
      " 0.98048025 0.45977077 0.95970666 0.48375583 0.87779486 0.06207225\n",
      " 0.983888   0.8472463  0.97757596 0.4854906  0.92777145 0.94193953\n",
      " 0.9644304  0.92848027 0.8552388  0.9713495  0.09275305 0.0853115\n",
      " 0.99308825 0.95364106 0.97203815 0.14333999 0.9966669  0.98640406\n",
      " 0.22381836 0.78521913 0.38981044 0.85122454 0.85588896 0.9846026\n",
      " 0.90847576 0.98820955 0.98834085 0.9934259  0.985439   0.36408442\n",
      " 0.0140937  0.7676205  0.04282907 0.9746017  0.8526424  0.91003925\n",
      " 0.94388187 0.99763066 0.99416983 0.7775151  0.9957172  0.997632\n",
      " 0.47142407 0.96498036 0.1009644  0.9975724  0.58506495 0.8711797\n",
      " 0.98572993 0.8646143  0.80304295 0.5036118  0.95565534 0.98747563\n",
      " 0.9963946  0.87230515 0.90935224 0.85570276 0.9262994  0.9013498\n",
      " 0.8485956  0.07839283 0.5671341  0.9835532  0.9964441  0.81803083\n",
      " 0.98789907 0.98821187 0.13831973 0.9949367  0.99971145 0.10751012\n",
      " 0.31250983 0.9568685  0.6338951  0.9970289  0.9515215  0.9679115\n",
      " 0.9953133  0.68868804 0.98851    0.97245884 0.99791515 0.98367417\n",
      " 0.98818994 0.98105496 0.70495963 0.45834    0.9979745  0.9884616\n",
      " 0.7962107  0.91511846 0.987931   0.939106   0.11122578 0.9840074\n",
      " 0.5246508  0.88571477 0.53845555 0.9979435  0.8059831  0.47297588\n",
      " 0.15184334 0.9906006  0.14500895 0.9708768  0.93645036 0.975721\n",
      " 0.9536556  0.41223162 0.9649067  0.90227544 0.9924909  0.78868645\n",
      " 0.9693086  0.88462937 0.95335376 0.99946487 0.98789406 0.36368948\n",
      " 0.02982008 0.03308544 0.80347955 0.44123417 0.9884155  0.01021776\n",
      " 0.99174047 0.9934956  0.94518363 0.00906819 0.9730576  0.8990457\n",
      " 0.9012817  0.9664091  0.8658781  0.97090316 0.92685646 0.9681195\n",
      " 0.97933567 0.12917712 0.8872522  0.8115717  0.88159156 0.73686767\n",
      " 0.8985293  0.9337399  0.7650486  0.8672724  0.06805363 0.5679161\n",
      " 0.9608682  0.97229755 0.9730928  0.9965893  0.83156353 0.8177022\n",
      " 0.98288167 0.4893623  0.9641863  0.9786094  0.9861912  0.56538403\n",
      " 0.9502263  0.97976905 0.98593867 0.95714414 0.03579003 0.9917711\n",
      " 0.8844037  0.9901316  0.98855174 0.99837863 0.8587091  0.950224\n",
      " 0.982412   0.9979943  0.82100266 0.9771685  0.86865723 0.7654547\n",
      " 0.10113192 0.89263105 0.43719354 0.3556918  0.9527073  0.91897017\n",
      " 0.44467974 0.94389427 0.9335524  0.9076854  0.938222   0.8918644\n",
      " 0.8608441  0.87893033 0.7530886  0.9474547  0.99887675 0.7014052\n",
      " 0.17645192 0.9951712  0.99240243 0.9868113  0.9351053  0.5792701\n",
      " 0.9629705  0.9940911  0.96172667 0.09914392]\n",
      "data\n",
      "[1.88441736e-05 2.23342150e-01 3.11626196e-02 4.57006693e-03\n",
      " 3.30909491e-02 3.98454070e-03 2.11610883e-01 7.66312957e-01\n",
      " 2.07771659e-02 1.03679299e-02 8.61851871e-02 7.06584454e-01\n",
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      " 8.58504772e-02 2.39930719e-01 4.96550798e-02 7.37696886e-04\n",
      " 5.82067668e-02 1.45313114e-01 6.98025227e-02 4.95532751e-02\n",
      " 9.95531440e-01 3.78797054e-02 4.63885069e-03 1.27179116e-01\n",
      " 1.18089020e-01 7.33748972e-02 2.75188982e-02 4.06235456e-03\n",
      " 9.69380140e-04 1.22819543e-02 1.49930149e-01 8.38875771e-04\n",
      " 2.77836025e-02 1.79178715e-02 2.89037526e-02 2.47007132e-01\n",
      " 2.08994746e-03 7.15390563e-01 6.84295595e-02 1.10375881e-03\n",
      " 1.21006966e-02 8.97504687e-01 1.83486640e-02 1.82312727e-03\n",
      " 3.28707099e-01 4.90990281e-02 4.19561863e-02 2.14248896e-04\n",
      " 1.78141892e-02 6.73894048e-01 1.04676276e-01 4.35468554e-03\n",
      " 9.94652390e-01 1.30206794e-01 9.49363410e-02 9.51290131e-03\n",
      " 8.30448270e-02 3.74932289e-02 2.30706930e-02 5.58553040e-01\n",
      " 1.80694938e-01 8.52674246e-04 6.04938388e-01 3.89171243e-02\n",
      " 3.81228030e-01 2.61143416e-01 4.92754430e-01 7.96109438e-04\n",
      " 1.40339136e-04 6.40138686e-01 9.26779866e-01 8.83449554e-01\n",
      " 2.45212018e-02 2.16281414e-03 9.69588578e-01]\n",
      "signal\n",
      "[0.3347179  0.9535254  0.97633827 0.26867843 0.0148797  0.8805244\n",
      " 0.8324785  0.6563714  0.99507797 0.9839964  0.8255166  0.9559965\n",
      " 0.08809903 0.79168016 0.89513683 0.0178391  0.54230577 0.9778209\n",
      " 0.91961634 0.90009767 0.72369826 0.86543536 0.49315798 0.37358773\n",
      " 0.92549044 0.9037893  0.9764768  0.89118457 0.9969024  0.9542507\n",
      " 0.98670137 0.98804575 0.97182935 0.93823504 0.0249553  0.67612904\n",
      " 0.81926394 0.11609614 0.94887096 0.99561834 0.93126273 0.6903446\n",
      " 0.7749169  0.46969584 0.8575059  0.98081815 0.9890243  0.9159664\n",
      " 0.13782588 0.34009624 0.42785147 0.9057264  0.9421966  0.79012686\n",
      " 0.88329107 0.5793902  0.92989635 0.92917454 0.24845478 0.8934946\n",
      " 0.971671   0.9736103  0.9178188  0.7456512  0.9960041  0.98810136\n",
      " 0.97841287 0.9883225  0.8135227  0.99462414 0.9411013  0.32304233\n",
      " 0.8728341  0.9461725  0.9940281  0.9929311  0.96673715 0.55735326\n",
      " 0.98329353 0.9844742  0.82620317 0.61326975 0.81808776 0.9721438\n",
      " 0.9257345  0.9040977  0.9633455  0.85359323 0.9344373  0.9900751\n",
      " 0.99695444 0.9308101  0.9548533  0.3866415  0.98319376 0.97919154\n",
      " 0.9563407  0.8469502  0.7031663  0.95108384 0.9870485  0.96671367\n",
      " 0.66281265 0.6905596  0.4027378  0.78491384 0.9533545  0.9029333\n",
      " 0.9829018  0.9724121  0.7839389  0.87832975 0.90991837 0.9664252\n",
      " 0.9765793  0.97880423 0.26297623 0.5276491  0.9675921  0.994787\n",
      " 0.9412293  0.8500876  0.99586236 0.984905   0.9969797  0.8262123\n",
      " 0.11195982 0.9640697  0.61612546 0.98472166 0.9887575  0.8747755\n",
      " 0.07242057 0.99758786 0.97534347 0.99153244 0.98567265 0.7774861\n",
      " 0.96242577 0.9700339  0.9394141  0.08621857 0.6994915  0.30763707\n",
      " 0.84231675 0.9509015  0.4214288  0.51667976 0.9927096  0.97995645\n",
      " 0.9530096  0.9640507  0.9779472  0.9457457  0.40478364 0.9932562\n",
      " 0.9871372  0.9941369  0.66740847 0.540026   0.99211276 0.98053855\n",
      " 0.91101706 0.967007   0.6017563  0.5127409  0.4737919  0.97574437\n",
      " 0.94777775 0.8640983  0.99643266 0.6630539  0.8519505  0.98833895\n",
      " 0.95696366 0.9452753  0.46716717 0.991243   0.53003114 0.91780263\n",
      " 0.73018956 0.93575025 0.97533464 0.47924626 0.3508804  0.00509477\n",
      " 0.9437379  0.89469576 0.86421216 0.9952158  0.9945631  0.9319061\n",
      " 0.27829844 0.13527286 0.40321863 0.6397472  0.9420148  0.86854076\n",
      " 0.9758758  0.891967   0.20044354 0.9806032  0.9170513  0.9913769\n",
      " 0.70637465 0.9567226  0.9186059  0.83482075 0.5115787  0.91871524\n",
      " 0.9565562  0.71048105 0.99334526 0.9985297  0.97185314 0.99612737\n",
      " 0.9395685  0.93356967 0.9003996  0.9964499  0.34477645 0.03460628\n",
      " 0.9682187  0.1585508  0.99027085 0.8810086  0.8749491  0.9869541\n",
      " 0.81112194 0.9851979  0.9782806  0.20521858 0.9875568  0.880772\n",
      " 0.94881237 0.997138   0.97765875 0.90499055 0.52293605 0.96970654\n",
      " 0.9728867  0.94605637 0.95082295 0.7530905  0.9573777  0.9890139\n",
      " 0.973986   0.9966455  0.46404603 0.9601292  0.70639586 0.9680167\n",
      " 0.98103917 0.7838522  0.5073427  0.17886505 0.93849415 0.98642445\n",
      " 0.06850278 0.66077155 0.8847684  0.7057259  0.33986193 0.75434315\n",
      " 0.6624654  0.97886217 0.86960006 0.9130688  0.9505925  0.88544166\n",
      " 0.9709363  0.87055284 0.40441027 0.9915507  0.26680085 0.8252734\n",
      " 0.9513148  0.9736756  0.26757494 0.963809   0.47588366 0.64780176\n",
      " 0.958722   0.9555069  0.76199913 0.9783347  0.99459374 0.9729314\n",
      " 0.48856673 0.89584005 0.5832331  0.9812788  0.930656   0.4274878\n",
      " 0.9871601  0.8526433  0.09483781 0.9623997  0.37436596 0.63143045\n",
      " 0.9304688  0.29796103 0.74051726 0.3035817  0.22977549 0.979644\n",
      " 0.966079   0.4433137  0.9588429  0.07552537 0.9535848  0.8319732\n",
      " 0.5435205  0.98605436 0.9815494  0.5120605  0.889712   0.9886883\n",
      " 0.9965153  0.9590957  0.9354994  0.9851483  0.9217371  0.92394686\n",
      " 0.3695423  0.9923035  0.96829504 0.1312877  0.99815214 0.28658152\n",
      " 0.3005401  0.9726222  0.80550927 0.9911128  0.93480563 0.10759556\n",
      " 0.8593261  0.96610475 0.6127637  0.63739085 0.92587554 0.9318119\n",
      " 0.855994   0.97441566 0.96244884 0.9832709  0.8079314  0.94798946\n",
      " 0.99676085 0.9796213  0.99089444 0.46283543 0.4668311  0.6987071\n",
      " 0.9936649  0.5429987  0.78474003 0.99203956 0.9890503  0.4821199\n",
      " 0.9336159  0.77316374 0.99857783 0.9722768  0.9536425  0.9380661\n",
      " 0.06610513 0.9420719  0.43800852 0.74936855 0.99459815 0.5766507\n",
      " 0.98609143 0.09133974 0.69460166 0.62125236 0.22878626 0.9298239\n",
      " 0.8960227  0.829952   0.03523174 0.98106265 0.59796715 0.57007337\n",
      " 0.07620838 0.15140715 0.9932476  0.15130982 0.9543489  0.97939813\n",
      " 0.9988955  0.9955307  0.99928117 0.84868175 0.47795042 0.9806199\n",
      " 0.47030053 0.7232793  0.9790015  0.9951912  0.93344235 0.42625573\n",
      " 0.89700955 0.9984671  0.8763996  0.9919083  0.97046727 0.9360527\n",
      " 0.529511   0.944445   0.97743917 0.99590117 0.98038566 0.95453006\n",
      " 0.9354866  0.88557327 0.9674146  0.98620695 0.9817011  0.65387356\n",
      " 0.60866266 0.29095334 0.98072624 0.7591357 ]\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Warning in <TROOT::Append>: Replacing existing TH1: h (Potential memory leak).\n",
      "Info in <TCanvas::Print>: pdf file plots/V1p19_v6_ME1_old/CscClusterNStation.pdf has been created\n",
      "Info in <TCanvas::Print>: png file plots/V1p19_v6_ME1_old/CscClusterNStation.png has been created\n",
      "Warning in <TCanvas::Constructor>: Deleting canvas with same name: c\n",
      "Warning in <TROOT::Append>: Replacing existing TH1: h (Potential memory leak).\n",
      "Info in <TCanvas::Print>: pdf file plots/V1p19_v6_ME1_old/FirstCscClusterNStation.pdf has been created\n",
      "Info in <TCanvas::Print>: png file plots/V1p19_v6_ME1_old/FirstCscClusterNStation.png has been created\n",
      "Warning in <TCanvas::Constructor>: Deleting canvas with same name: c\n",
      "Warning in <TROOT::Append>: Replacing existing TH1: h (Potential memory leak).\n",
      "Info in <TCanvas::Print>: pdf file plots/V1p19_v6_ME1_old/CscClusterAvgStation.pdf has been created\n",
      "Info in <TCanvas::Print>: png file plots/V1p19_v6_ME1_old/CscClusterAvgStation.png has been created\n",
      "Warning in <TCanvas::Constructor>: Deleting canvas with same name: c\n",
      "Warning in <TROOT::Append>: Replacing existing TH1: h (Potential memory leak).\n",
      "Info in <TCanvas::Print>: pdf file plots/V1p19_v6_ME1_old/FirstCscClusterAvgStation.pdf has been created\n",
      "Info in <TCanvas::Print>: png file plots/V1p19_v6_ME1_old/FirstCscClusterAvgStation.png has been created\n",
      "Warning in <TCanvas::Constructor>: Deleting canvas with same name: c\n",
      "Warning in <TROOT::Append>: Replacing existing TH1: h (Potential memory leak).\n",
      "Info in <TCanvas::Print>: pdf file plots/V1p19_v6_ME1_old/CscClusterEta.pdf has been created\n",
      "Info in <TCanvas::Print>: png file plots/V1p19_v6_ME1_old/CscClusterEta.png has been created\n",
      "Warning in <TCanvas::Constructor>: Deleting canvas with same name: c\n",
      "Warning in <TROOT::Append>: Replacing existing TH1: h (Potential memory leak).\n",
      "Info in <TCanvas::Print>: pdf file plots/V1p19_v6_ME1_old/FirstCscClusterEta.pdf has been created\n",
      "Info in <TCanvas::Print>: png file plots/V1p19_v6_ME1_old/FirstCscClusterEta.png has been created\n",
      "Warning in <TCanvas::Constructor>: Deleting canvas with same name: c\n",
      "Warning in <TROOT::Append>: Replacing existing TH1: h (Potential memory leak).\n",
      "Info in <TCanvas::Print>: pdf file plots/V1p19_v6_ME1_old/CscClusterPhi.pdf has been created\n",
      "Info in <TCanvas::Print>: png file plots/V1p19_v6_ME1_old/CscClusterPhi.png has been created\n",
      "Warning in <TCanvas::Constructor>: Deleting canvas with same name: c\n",
      "Warning in <TROOT::Append>: Replacing existing TH1: h (Potential memory leak).\n",
      "Info in <TCanvas::Print>: pdf file plots/V1p19_v6_ME1_old/FirstCscClusterPhi.pdf has been created\n",
      "Info in <TCanvas::Print>: png file plots/V1p19_v6_ME1_old/FirstCscClusterPhi.png has been created\n",
      "Warning in <TCanvas::Constructor>: Deleting canvas with same name: c\n",
      "Warning in <TROOT::Append>: Replacing existing TH1: h (Potential memory leak).\n",
      "Info in <TCanvas::Print>: pdf file plots/V1p19_v6_ME1_old/CscClusterZ.pdf has been created\n",
      "Info in <TCanvas::Print>: png file plots/V1p19_v6_ME1_old/CscClusterZ.png has been created\n",
      "Warning in <TCanvas::Constructor>: Deleting canvas with same name: c\n",
      "Warning in <TROOT::Append>: Replacing existing TH1: h (Potential memory leak).\n",
      "Info in <TCanvas::Print>: pdf file plots/V1p19_v6_ME1_old/FirstCscClusterZ.pdf has been created\n",
      "Info in <TCanvas::Print>: png file plots/V1p19_v6_ME1_old/FirstCscClusterZ.png has been created\n",
      "Warning in <TCanvas::Constructor>: Deleting canvas with same name: c\n",
      "Warning in <TROOT::Append>: Replacing existing TH1: h (Potential memory leak).\n",
      "Info in <TCanvas::Print>: pdf file plots/V1p19_v6_ME1_old/CscClusterR.pdf has been created\n",
      "Info in <TCanvas::Print>: png file plots/V1p19_v6_ME1_old/CscClusterR.png has been created\n",
      "Warning in <TCanvas::Constructor>: Deleting canvas with same name: c\n",
      "Warning in <TROOT::Append>: Replacing existing TH1: h (Potential memory leak).\n",
      "Info in <TCanvas::Print>: pdf file plots/V1p19_v6_ME1_old/FirstCscClusterR.pdf has been created\n",
      "Info in <TCanvas::Print>: png file plots/V1p19_v6_ME1_old/FirstCscClusterR.png has been created\n",
      "Warning in <TCanvas::Constructor>: Deleting canvas with same name: c\n",
      "Warning in <TROOT::Append>: Replacing existing TH1: h (Potential memory leak).\n",
      "Info in <TCanvas::Print>: pdf file plots/V1p19_v6_ME1_old/CscClusterDEta.pdf has been created\n",
      "Info in <TCanvas::Print>: png file plots/V1p19_v6_ME1_old/CscClusterDEta.png has been created\n",
      "Warning in <TCanvas::Constructor>: Deleting canvas with same name: c\n",
      "Warning in <TROOT::Append>: Replacing existing TH1: h (Potential memory leak).\n",
      "Info in <TCanvas::Print>: pdf file plots/V1p19_v6_ME1_old/CscClusterDt.pdf has been created\n",
      "Info in <TCanvas::Print>: png file plots/V1p19_v6_ME1_old/CscClusterDt.png has been created\n",
      "Warning in <TCanvas::Constructor>: Deleting canvas with same name: c\n",
      "Warning in <TROOT::Append>: Replacing existing TH1: h (Potential memory leak).\n",
      "Info in <TCanvas::Print>: pdf file plots/V1p19_v6_ME1_old/CscClusterDR.pdf has been created\n",
      "Info in <TCanvas::Print>: png file plots/V1p19_v6_ME1_old/CscClusterDR.png has been created\n",
      "Warning in <TCanvas::Constructor>: Deleting canvas with same name: c\n",
      "Warning in <TROOT::Append>: Replacing existing TH1: h (Potential memory leak).\n",
      "Info in <TCanvas::Print>: pdf file plots/V1p19_v6_ME1_old/CscClusterDPhi.pdf has been created\n",
      "Info in <TCanvas::Print>: png file plots/V1p19_v6_ME1_old/CscClusterDPhi.png has been created\n",
      "Warning in <TCanvas::Constructor>: Deleting canvas with same name: c\n",
      "Warning in <TROOT::Append>: Replacing existing TH1: h (Potential memory leak).\n",
      "Info in <TCanvas::Print>: pdf file plots/V1p19_v6_ME1_old/CscClusterMaxStation.pdf has been created\n",
      "Info in <TCanvas::Print>: png file plots/V1p19_v6_ME1_old/CscClusterMaxStation.png has been created\n",
      "Warning in <TCanvas::Constructor>: Deleting canvas with same name: c\n",
      "Warning in <TROOT::Append>: Replacing existing TH1: h (Potential memory leak).\n",
      "Info in <TCanvas::Print>: pdf file plots/V1p19_v6_ME1_old/FirstCscClusterMaxStation.pdf has been created\n",
      "Info in <TCanvas::Print>: png file plots/V1p19_v6_ME1_old/FirstCscClusterMaxStation.png has been created\n",
      "Warning in <TCanvas::Constructor>: Deleting canvas with same name: c\n",
      "Warning in <TROOT::Append>: Replacing existing TH1: h (Potential memory leak).\n",
      "Info in <TCanvas::Print>: pdf file plots/V1p19_v6_ME1_old/CscClusterMet_dPhi.pdf has been created\n",
      "Info in <TCanvas::Print>: png file plots/V1p19_v6_ME1_old/CscClusterMet_dPhi.png has been created\n",
      "Warning in <TCanvas::Constructor>: Deleting canvas with same name: c\n",
      "Warning in <TROOT::Append>: Replacing existing TH1: h (Potential memory leak).\n",
      "Info in <TCanvas::Print>: pdf file plots/V1p19_v6_ME1_old/FirstCscClusterMet_dPhi.pdf has been created\n",
      "Info in <TCanvas::Print>: png file plots/V1p19_v6_ME1_old/FirstCscClusterMet_dPhi.png has been created\n",
      "Warning in <TCanvas::Constructor>: Deleting canvas with same name: c\n",
      "Warning in <TROOT::Append>: Replacing existing TH1: h (Potential memory leak).\n",
      "Info in <TCanvas::Print>: pdf file plots/V1p19_v6_ME1_old/CscClusterSize.pdf has been created\n",
      "Info in <TCanvas::Print>: png file plots/V1p19_v6_ME1_old/CscClusterSize.png has been created\n",
      "Warning in <TCanvas::Constructor>: Deleting canvas with same name: c\n",
      "Warning in <TROOT::Append>: Replacing existing TH1: h (Potential memory leak).\n",
      "Info in <TCanvas::Print>: pdf file plots/V1p19_v6_ME1_old/FirstCscClusterSize.pdf has been created\n",
      "Info in <TCanvas::Print>: png file plots/V1p19_v6_ME1_old/FirstCscClusterSize.png has been created\n",
      "Warning in <TCanvas::Constructor>: Deleting canvas with same name: c\n",
      "Warning in <TROOT::Append>: Replacing existing TH1: h (Potential memory leak).\n",
      "Info in <TCanvas::Print>: pdf file plots/V1p19_v6_ME1_old/CscClusterTime.pdf has been created\n",
      "Info in <TCanvas::Print>: png file plots/V1p19_v6_ME1_old/CscClusterTime.png has been created\n",
      "Warning in <TCanvas::Constructor>: Deleting canvas with same name: c\n",
      "Warning in <TROOT::Append>: Replacing existing TH1: h (Potential memory leak).\n",
      "Info in <TCanvas::Print>: pdf file plots/V1p19_v6_ME1_old/FirstCscClusterTime.pdf has been created\n",
      "Info in <TCanvas::Print>: png file plots/V1p19_v6_ME1_old/FirstCscClusterTime.png has been created\n",
      "Warning in <TCanvas::Constructor>: Deleting canvas with same name: c\n",
      "Warning in <TROOT::Append>: Replacing existing TH1: h (Potential memory leak).\n",
      "Info in <TCanvas::Print>: pdf file plots/V1p19_v6_ME1_old/CscClusterTimeSpread.pdf has been created\n",
      "Info in <TCanvas::Print>: png file plots/V1p19_v6_ME1_old/CscClusterTimeSpread.png has been created\n",
      "Warning in <TCanvas::Constructor>: Deleting canvas with same name: c\n",
      "Warning in <TROOT::Append>: Replacing existing TH1: h (Potential memory leak).\n",
      "Info in <TCanvas::Print>: pdf file plots/V1p19_v6_ME1_old/FirstCscClusterTimeSpread.pdf has been created\n",
      "Info in <TCanvas::Print>: png file plots/V1p19_v6_ME1_old/FirstCscClusterTimeSpread.png has been created\n",
      "Warning in <TCanvas::Constructor>: Deleting canvas with same name: c\n",
      "Warning in <TROOT::Append>: Replacing existing TH1: h (Potential memory leak).\n",
      "Info in <TCanvas::Print>: pdf file plots/V1p19_v6_ME1_old/CscClusterDNN.pdf has been created\n",
      "Info in <TCanvas::Print>: png file plots/V1p19_v6_ME1_old/CscClusterDNN.png has been created\n",
      "Warning in <TCanvas::Constructor>: Deleting canvas with same name: c\n",
      "Warning in <TROOT::Append>: Replacing existing TH1: h (Potential memory leak).\n",
      "Info in <TCanvas::Print>: pdf file plots/V1p19_v6_ME1_old/FirstCscClusterDNN.pdf has been created\n",
      "Info in <TCanvas::Print>: png file plots/V1p19_v6_ME1_old/FirstCscClusterDNN.png has been created\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def plot_distr(category,tree_keys,cl_name,var,var_axis,var_label,bs,do_abs=False,do_idx_0=True):#(category,):\n",
    "\n",
    "    can = rt.TCanvas('c','c', 1000, 800)\n",
    "    leg = rt.TLegend(0.5-0.37,0.7,0.75-0.37,0.88)\n",
    "    leg.SetTextSize(0.03)\n",
    "    leg.SetBorderSize(0)\n",
    "    leg.SetEntrySeparation(0.01)\n",
    "    h = {}\n",
    "    can.cd()\n",
    "    phrase = \"DT\" if category==2 else 'CSC'\n",
    "    plot_name = \"Dt\"  if category==2 else 'Csc'\n",
    "    leg.SetHeader(\"CSC-\"+phrase+\"\")\n",
    "\n",
    "    scale = True\n",
    "    \n",
    "    for k in tree_keys:\n",
    "    \n",
    "        sel = (np.abs(dPhi_csc_csc[k]) > 1.2) & (np.abs(dPhi_csc_csc[k]) < 2.5) & (np.abs(dEta_csc_csc[k]) < 1.9)\n",
    "        #cl_name = \"2nd CSC, \"\n",
    "        if do_idx_0:\n",
    "            tmp_var = var[k][sel][:,0]\n",
    "        else:\n",
    "            tmp_var = var[k][sel]\n",
    "        if do_abs:\n",
    "            tmp_var = np.abs(tmp_var)\n",
    "        #var_axis = 'Csc Cluster DNN score'\n",
    "        #var_label = 'CscClusterDNN'\n",
    "        #bs = [100,0,1] \n",
    "        \n",
    "\n",
    "        h[k] = create_TH1D(tmp_var.flatten(),title=\"\",axis_title = [var_axis,'Events'], binning=bs)\n",
    "        leg.AddEntry(h[k],cl_name+data_label[k],'PE' if 'data' in k else 'L')\n",
    "        h[k].SetLineColor(colors[k])\n",
    "        h[k].SetLineWidth(2)\n",
    "        h[k].SetLineStyle(1)\n",
    "        h[k].SetMarkerColor(colors[k])\n",
    "        h[k].SetMarkerStyle(20)\n",
    "        h[k].SetMarkerSize(1.2)\n",
    "        h[k].SetMinimum(0.8)\n",
    "        h[k].SetMaximum(1.e6)\n",
    "        if h[k].Integral()>0 and scale:\n",
    "            h[k].Scale(1./h[k].Integral())\n",
    "            h[k].SetMinimum(0.0001)\n",
    "            h[k].SetMaximum(1.)\n",
    "        print(k)\n",
    "        h[k].Draw('PE same' if 'data' in k else 'HISTO same')\n",
    "        print(tmp_var)\n",
    "\n",
    "    \n",
    "    leg.Draw()\n",
    "    can.SetRightMargin(0.05)\n",
    "    drawCMS(lumi, \"Preliminary\", ERA=\"\", onTop=True,left_marg_CMS=0.2,top_marg_cms=0.96,top_marg_lumi=0.965)\n",
    "\n",
    "    # if setlog: \n",
    "    can.SetLogy()\n",
    "    can.Draw()\n",
    "    can.Print(\"plots/V1p19_\"+plot_folder+\"/\"+var_label+plot_string+\".pdf\")\n",
    "    can.Print(\"plots/V1p19_\"+plot_folder+\"/\"+var_label+plot_string+\".png\")\n",
    "\n",
    "    \n",
    "cl_name = \"2nd CSC, \"    \n",
    "var = cscClusterNStation\n",
    "var_axis = 'Csc Cluster N Station'\n",
    "var_label = 'CscClusterNStation'\n",
    "bs = [4,0.5,4.5]\n",
    "do_abs=False\n",
    "do_idx_0=True\n",
    "plot_distr(category,tree_keys,cl_name,var,var_axis,var_label,bs,do_abs,do_idx_0)\n",
    "\n",
    "cl_name = \"1st CSC, \"    \n",
    "var = tr_cscClusterNStation#[k][sel][:,0]\n",
    "var_axis = 'Csc Cluster N Station'\n",
    "var_label = 'FirstCscClusterNStation'\n",
    "bs = [4,0.5,4.5]  \n",
    "do_abs=False\n",
    "do_idx_0=True\n",
    "plot_distr(category,tree_keys,cl_name,var,var_axis,var_label,bs,do_abs,do_idx_0)\n",
    "\n",
    "cl_name = \"2nd CSC, \"\n",
    "var = cscClusterAvgStation#[k][sel][:,0]\n",
    "var_axis = 'Csc Cluster Avg Station'\n",
    "var_label = 'CscClusterAvgStation'\n",
    "bs = [4,0.5,4.5]    \n",
    "do_abs=False\n",
    "do_idx_0=True\n",
    "plot_distr(category,tree_keys,cl_name,var,var_axis,var_label,bs,do_abs,do_idx_0)\n",
    "\n",
    "cl_name = \"1st CSC, \"\n",
    "var = tr_cscClusterAvgStation#[k][sel][:,0]\n",
    "var_axis = 'Csc Cluster Avg Station'\n",
    "var_label = 'FirstCscClusterAvgStation'\n",
    "bs = [4,0.5,4.5]\n",
    "do_abs=False\n",
    "do_idx_0=True\n",
    "plot_distr(category,tree_keys,cl_name,var,var_axis,var_label,bs,do_abs,do_idx_0)\n",
    "\n",
    "cl_name = \"2nd CSC, \"\n",
    "var = cscClusterEta#[k][sel][:,0]\n",
    "var_axis = 'Csc Cluster Eta'\n",
    "var_label = 'CscClusterEta'\n",
    "bs = [100,0,3]\n",
    "do_abs=True\n",
    "do_idx_0=True\n",
    "plot_distr(category,tree_keys,cl_name,var,var_axis,var_label,bs,do_abs,do_idx_0)\n",
    "\n",
    "cl_name = \"1st CSC, \"\n",
    "var = tr_cscClusterEta#[k][sel][:,0]\n",
    "var_axis = 'Csc Cluster Eta'\n",
    "var_label = 'FirstCscClusterEta'\n",
    "bs = [100,0,3]\n",
    "do_abs=True\n",
    "do_idx_0=True\n",
    "plot_distr(category,tree_keys,cl_name,var,var_axis,var_label,bs,do_abs,do_idx_0)\n",
    "\n",
    "cl_name = \"2nd CSC, \"\n",
    "var = cscClusterPhi#[k][sel][:,0]\n",
    "var_axis = 'Csc Cluster Phi'\n",
    "var_label = 'CscClusterPhi'\n",
    "bs = [100,-3.2,3.2]\n",
    "do_abs=False\n",
    "do_idx_0=True\n",
    "plot_distr(category,tree_keys,cl_name,var,var_axis,var_label,bs,do_abs,do_idx_0)\n",
    "\n",
    "cl_name = \"1st CSC, \"\n",
    "var = tr_cscClusterPhi#[k][sel][:,0]\n",
    "var_axis = 'Csc Cluster Phi'\n",
    "var_label = 'FirstCscClusterPhi'\n",
    "bs = [100,-3.2,3.2]\n",
    "do_abs=False\n",
    "do_idx_0=True\n",
    "plot_distr(category,tree_keys,cl_name,var,var_axis,var_label,bs,do_abs,do_idx_0)\n",
    "\n",
    "cl_name = \"2nd CSC, \"\n",
    "var = cscClusterZ#[k][sel][:,0]/100\n",
    "var_axis = 'Csc Cluster |Z| (cm)'\n",
    "var_label = 'CscClusterZ'\n",
    "bs = [100,400,1200]\n",
    "do_abs=True\n",
    "do_idx_0=True\n",
    "plot_distr(category,tree_keys,cl_name,var,var_axis,var_label,bs,do_abs,do_idx_0)\n",
    "\n",
    "cl_name = \"1st CSC, \"\n",
    "var = tr_cscClusterZ#[k][sel][:,0]/100\n",
    "var_axis = 'Csc Cluster |Z| (cm)'\n",
    "var_label = 'FirstCscClusterZ'\n",
    "bs = [100,400,1200]\n",
    "do_abs=True\n",
    "do_idx_0=True\n",
    "plot_distr(category,tree_keys,cl_name,var,var_axis,var_label,bs,do_abs,do_idx_0)\n",
    "\n",
    "cl_name = \"2nd CSC, \"\n",
    "var = cscClusterR#[k][sel][:,0]/100\n",
    "var_axis = 'Csc Cluster R (cm)'\n",
    "var_label = 'CscClusterR'\n",
    "bs = [100,0,1000]\n",
    "do_abs=False\n",
    "do_idx_0=True\n",
    "plot_distr(category,tree_keys,cl_name,var,var_axis,var_label,bs,do_abs,do_idx_0)\n",
    "\n",
    "cl_name = \"1st CSC, \"\n",
    "var = tr_cscClusterR#[k][sel][:,0]/100\n",
    "var_axis = 'Csc Cluster R (cm)'\n",
    "var_label = 'FirstCscClusterR'\n",
    "bs = [100,0,1000]\n",
    "do_abs=False\n",
    "do_idx_0=True\n",
    "plot_distr(category,tree_keys,cl_name,var,var_axis,var_label,bs,do_abs,do_idx_0)\n",
    "\n",
    "\n",
    "cl_name = \"\"\n",
    "var = dEta_csc_csc#np.abs(dEta_csc_csc[k][sel])\n",
    "var_axis = 'Csc Clusters #Delta#eta'\n",
    "var_label = 'CscClusterDEta'\n",
    "bs = [100,0,5]\n",
    "do_abs=True\n",
    "do_idx_0=False\n",
    "plot_distr(category,tree_keys,cl_name,var,var_axis,var_label,bs,do_abs,do_idx_0)\n",
    "\n",
    "cl_name = \"\"\n",
    "var = dt_csc_csc#np.abs(dt_csc_csc[k][sel])\n",
    "var_axis = 'Csc Clusters #Delta t'\n",
    "var_label = 'CscClusterDt'\n",
    "bs = [100,0,50]     \n",
    "do_abs=True\n",
    "do_idx_0=False\n",
    "plot_distr(category,tree_keys,cl_name,var,var_axis,var_label,bs,do_abs,do_idx_0)\n",
    "    \n",
    "cl_name = \"\"\n",
    "var = dR_csc_csc#np.abs(dR_csc_csc[k][sel])\n",
    "var_axis = 'Csc Clusters #Delta R'\n",
    "var_label = 'CscClusterDR'\n",
    "bs = [100,0,6] \n",
    "do_abs=True\n",
    "do_idx_0=False\n",
    "plot_distr(category,tree_keys,cl_name,var,var_axis,var_label,bs,do_abs,do_idx_0)\n",
    "\n",
    "\n",
    "cl_name = \"\"\n",
    "var = dPhi_csc_csc#np.abs(dPhi_csc_csc[k][sel & (np.abs(dPhi_csc_csc[k]) < 2.5)])\n",
    "var_axis = 'Csc Clusters #Delta#varphi'\n",
    "var_label = 'CscClusterDPhi'\n",
    "bs = [100,0,3.2]   \n",
    "do_abs=True\n",
    "do_idx_0=False\n",
    "plot_distr(category,tree_keys,cl_name,var,var_axis,var_label,bs,do_abs,do_idx_0)\n",
    "   \n",
    "cl_name = \"2nd CSC, \"\n",
    "var = cscClusterMaxStation#[k][sel][:,0]\n",
    "var_axis = 'Csc Cluster Max Station'\n",
    "var_label = 'CscClusterMaxStation'\n",
    "bs = [4,0.5,4.5]  \n",
    "do_abs=False\n",
    "do_idx_0=True\n",
    "plot_distr(category,tree_keys,cl_name,var,var_axis,var_label,bs,do_abs,do_idx_0)\n",
    "    \n",
    "cl_name = \"1st CSC, \"\n",
    "var = tr_cscClusterMaxStation#[k][sel][:,0]\n",
    "var_axis = 'Csc Cluster Max Station'\n",
    "var_label = 'FirstCscClusterMaxStation'\n",
    "bs = [4,0.5,4.5] \n",
    "do_abs=False\n",
    "do_idx_0=True\n",
    "plot_distr(category,tree_keys,cl_name,var,var_axis,var_label,bs,do_abs,do_idx_0)\n",
    "    \n",
    "cl_name = \"2nd CSC, \"\n",
    "var = cscClusterMet_dPhi#np.abs(cscClusterMet_dPhi[k][sel][:,0])\n",
    "var_axis = 'Csc Cluster Met dPhi'\n",
    "var_label = 'CscClusterMet_dPhi'\n",
    "bs = [50,0,3.2]  \n",
    "do_abs=True\n",
    "do_idx_0=True\n",
    "plot_distr(category,tree_keys,cl_name,var,var_axis,var_label,bs,do_abs,do_idx_0)\n",
    "    \n",
    "cl_name = \"1st CSC, \"\n",
    "var = tr_cscClusterMet_dPhi#np.abs(tr_cscClusterMet_dPhi[k][sel][:,0])\n",
    "var_axis = 'Csc Cluster Met dPhi'\n",
    "var_label = 'FirstCscClusterMet_dPhi'\n",
    "bs = [50,0,3.2] \n",
    "do_abs=True\n",
    "do_idx_0=True\n",
    "plot_distr(category,tree_keys,cl_name,var,var_axis,var_label,bs,do_abs,do_idx_0)\n",
    "    \n",
    "cl_name = \"2nd CSC, \"\n",
    "var = cscClusterSize#[k][sel][:,0]\n",
    "var_axis = 'Csc Cluster Size'\n",
    "var_label = 'CscClusterSize'\n",
    "bs = [100,0,2000]     \n",
    "do_abs=False\n",
    "do_idx_0=True\n",
    "plot_distr(category,tree_keys,cl_name,var,var_axis,var_label,bs,do_abs,do_idx_0)\n",
    "    \n",
    "cl_name = \"1st CSC, \"\n",
    "var = tr_cscClusterSize#[k][sel][:,0]\n",
    "var_axis = 'Csc Cluster Size'\n",
    "var_label = 'FirstCscClusterSize'\n",
    "bs = [100,0,2000] \n",
    "do_abs=False\n",
    "do_idx_0=True\n",
    "plot_distr(category,tree_keys,cl_name,var,var_axis,var_label,bs,do_abs,do_idx_0)\n",
    "\n",
    "cl_name = \"2nd CSC, \"\n",
    "var = cscClusterTime#[k][sel][:,0]\n",
    "var_axis = 'Csc Cluster Time'\n",
    "var_label = 'CscClusterTime'\n",
    "bs = [100,-10,20]  \n",
    "do_abs=False\n",
    "do_idx_0=True\n",
    "plot_distr(category,tree_keys,cl_name,var,var_axis,var_label,bs,do_abs,do_idx_0)\n",
    "    \n",
    "cl_name = \"1st CSC, \"\n",
    "var = tr_cscClusterTime#[k][sel][:,0]\n",
    "var_axis = 'Csc Cluster Time'\n",
    "var_label = 'FirstCscClusterTime'\n",
    "bs = [100,-50,50] \n",
    "do_abs=False\n",
    "do_idx_0=True\n",
    "plot_distr(category,tree_keys,cl_name,var,var_axis,var_label,bs,do_abs,do_idx_0)\n",
    "    \n",
    "cl_name = \"2nd CSC, \"\n",
    "var = cscClusterTimeSpread#[k][sel][:,0]\n",
    "var_axis = 'Csc Cluster TimeSpread'\n",
    "var_label = 'CscClusterTimeSpread'\n",
    "bs = [100,0,40]\n",
    "do_abs=False\n",
    "do_idx_0=True\n",
    "plot_distr(category,tree_keys,cl_name,var,var_axis,var_label,bs,do_abs,do_idx_0)\n",
    "    \n",
    "cl_name = \"1st CSC, \"\n",
    "var = tr_cscClusterTimeSpread#[k][sel][:,0]\n",
    "var_axis = 'Csc Cluster TimeSpread'\n",
    "var_label = 'FirstCscClusterTimeSpread'\n",
    "bs = [100,0,40] \n",
    "do_abs=False\n",
    "do_idx_0=True\n",
    "plot_distr(category,tree_keys,cl_name,var,var_axis,var_label,bs,do_abs,do_idx_0)\n",
    "    \n",
    "cl_name = \"2nd CSC, \"\n",
    "var = cscClusterDNN#[k][sel][:,0]\n",
    "var_axis = 'Csc Cluster DNN score'\n",
    "var_label = 'CscClusterDNN'\n",
    "bs = [100,0,1] \n",
    "do_abs=False\n",
    "do_idx_0=True\n",
    "plot_distr(category,tree_keys,cl_name,var,var_axis,var_label,bs,do_abs,do_idx_0)\n",
    "\n",
    "cl_name = \"1st CSC, \"\n",
    "var = tr_cscClusterDNN#[k][sel][:,0]\n",
    "var_axis = 'Csc Cluster DNN score'\n",
    "var_label = 'FirstCscClusterDNN'\n",
    "bs = [100,0,1] \n",
    "do_abs=False\n",
    "do_idx_0=True\n",
    "plot_distr(category,tree_keys,cl_name,var,var_axis,var_label,bs,do_abs,do_idx_0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "bad9f45e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "mkdir: cannot create directory ‘plots/V1p19_v6_ME1_old’: File exists\r\n"
     ]
    }
   ],
   "source": [
    "! mkdir plots/V1p19_v6_ME1_old"
   ]
  },
  {
   "cell_type": "raw",
   "id": "46ad58a6",
   "metadata": {},
   "source": [
    "if category>-1:\n",
    "    can = rt.TCanvas('c','c', 1000, 800)\n",
    "    leg = rt.TLegend(0.5-0.37,0.7,0.75-0.37,0.88)\n",
    "    leg.SetTextSize(0.03)\n",
    "    leg.SetBorderSize(0)\n",
    "    leg.SetEntrySeparation(0.01)\n",
    "    h = {}\n",
    "    can.cd()\n",
    "    phrase = \"DT\" if category==2 else 'CSC'\n",
    "    plot_name = \"Dt\"  if category==2 else 'Csc'\n",
    "    leg.SetHeader(\"CSC-\"+phrase+\"\")\n",
    "\n",
    "    scale = True\n",
    "\n",
    " \n",
    "    \n",
    "    for k in tree_keys:\n",
    "    \n",
    "        sel = np.abs(dPhi_csc_csc[k]) > 1.2\n",
    "        cl_name = \"2nd CSC, \"\n",
    "        tmp_var = cscClusterDNN[k][sel][:,0]\n",
    "        var_axis = 'Csc Cluster DNN score'\n",
    "        var_label = 'CscClusterDNN'\n",
    "        bs = [100,0,1] \n",
    "        \n",
    "\n",
    "        h[k] = create_TH1D(tmp_var.flatten(),title=\"\",axis_title = [var_axis,'Events'], binning=bs)\n",
    "        leg.AddEntry(h[k],cl_name+data_label[k],'PE' if 'data' in k else 'L')\n",
    "        h[k].SetLineColor(colors[k])\n",
    "        h[k].SetLineWidth(2)\n",
    "        h[k].SetLineStyle(1)\n",
    "        h[k].SetMarkerColor(colors[k])\n",
    "        h[k].SetMarkerStyle(20)\n",
    "        h[k].SetMarkerSize(1.2)\n",
    "        h[k].SetMinimum(0.8)\n",
    "        h[k].SetMaximum(1.e6)\n",
    "        if h[k].Integral()>0 and scale:\n",
    "            h[k].Scale(1./h[k].Integral())\n",
    "            h[k].SetMinimum(0.0001)\n",
    "            h[k].SetMaximum(1.)\n",
    "        print(k)\n",
    "        h[k].Draw('PE same' if 'data' in k else 'HISTO same')\n",
    "        print(tmp_var)\n",
    "\n",
    "    \n",
    "    leg.Draw()\n",
    "    can.SetRightMargin(0.05)\n",
    "    drawCMS(lumi, \"Preliminary\", ERA=\"\", onTop=True,left_marg_CMS=0.2,top_marg_cms=0.96,top_marg_lumi=0.965)\n",
    "\n",
    "    # if setlog: \n",
    "    can.SetLogy()\n",
    "    can.Draw()\n",
    "    can.Print(\"plots/V1p19_\"+plot_folder+\"/\"+var_label+plot_string+\".pdf\")\n",
    "    can.Print(\"plots/V1p19_\"+plot_folder+\"/\"+var_label+plot_string+\".png\")"
   ]
  },
  {
   "cell_type": "raw",
   "id": "4b63eddc",
   "metadata": {},
   "source": [
    "can = rt.TCanvas('c','c', 1000, 800)\n",
    "leg = rt.TLegend(0.15,0.45,0.35,0.65)\n",
    "leg.SetTextSize(0.03)\n",
    "leg.SetBorderSize(0)\n",
    "leg.SetEntrySeparation(0.01)\n",
    "h0 = {}\n",
    "h1 = {}\n",
    "hsm = {}\n",
    "hg = {}\n",
    "h2 = {}\n",
    "profX = {}\n",
    "hx = {}\n",
    "hy = {}\n",
    "can.cd()\n",
    "\n",
    "for k in tree_keys:\n",
    "    \n",
    "    sel = np.abs(dPhi_csc_csc[k]) > 1.2\n",
    "    \n",
    "    y_var = (tr_cscClusterDNN[k][sel][:,0])\n",
    "    x_var = np.abs(tr_cscClusterEta[k][sel][:,0])\n",
    "    x_t = 'Cluster |#eta|'\n",
    "    bs = [100,0.7,2.5,100,0,1]\n",
    "\n",
    "    y_var = (tr_cscClusterDNN[k][sel][:,0])\n",
    "    x_var = np.abs(dPhi_csc_csc[k][sel])\n",
    "    x_t = 'Cluster |#Delta#varphi|'\n",
    "    cl_name = \"1st CSC, \"\n",
    "    bs = [100,0.,3.2,100,0,1]\n",
    "    var_label = \"FirstCSC_DNN_vs_DPhi\"\n",
    "\n",
    "    y_var = (cscClusterDNN[k][sel][:,0])\n",
    "    x_var = np.abs(dPhi_csc_csc[k][sel])\n",
    "    x_t = 'Cluster |#Delta#varphi|'\n",
    "    cl_name = \"2nd CSC, \"\n",
    "    bs = [100,0.,3.2,100,0,1]\n",
    "    var_label = \"CSC_DNN_vs_DPhi\"\n",
    "    \n",
    "    y_var = (tr_cscClusterDNN[k][sel][:,0])\n",
    "    x_var = np.abs(dEta_csc_csc[k][sel])\n",
    "    x_t = 'Cluster |#Delta#eta|'\n",
    "    cl_name = \"1st CSC, \"\n",
    "    bs = [100,0.,3.2,100,0,1]\n",
    "    var_label = \"FirstCSC_DNN_vs_DEta\"\n",
    "\n",
    "    y_var = (cscClusterDNN[k][sel][:,0])\n",
    "    x_var = np.abs(dEta_csc_csc[k][sel])\n",
    "    x_t = 'Cluster |#Delta#eta|'\n",
    "    cl_name = \"2nd CSC, \"\n",
    "    bs = [100,0.,3.2,100,0,1]\n",
    "    var_label = \"CSC_DNN_vs_DEta\"\n",
    "\n",
    "    y_var = (tr_cscClusterDNN[k][sel][:,0])\n",
    "    x_var = np.abs(tr_cscClusterEta[k][sel][:,0])\n",
    "    x_t = 'Cluster |#eta|'\n",
    "    cl_name = \"1st CSC, \"\n",
    "    bs = [100,0.,3.2,100,0,1]\n",
    "    var_label = \"FirstCSC_DNN_vs_eta\"\n",
    "\n",
    "    y_var = (cscClusterDNN[k][sel][:,0])\n",
    "    x_var = np.abs(cscClusterEta[k][sel][:,0])\n",
    "    x_t = 'Cluster |#eta|'\n",
    "    cl_name = \"2nd CSC, \"\n",
    "    bs = [100,0.,3.2,100,0,1]\n",
    "    var_label = \"CSC_DNN_vs_eta\"\n",
    "\n",
    "    y_var = (tr_cscClusterDNN[k][sel][:,0])\n",
    "    x_var = np.abs(tr_cscClusterSize[k][sel][:,0])\n",
    "    x_t = 'Cluster size'\n",
    "    cl_name = \"1st CSC, \"\n",
    "    bs = [100,0.,3000,100,0,1]\n",
    "    var_label = \"FirstCSC_DNN_vs_size\"\n",
    "    \n",
    "    y_var = (cscClusterDNN[k][sel][:,0])\n",
    "    x_var = np.abs(cscClusterSize[k][sel][:,0])\n",
    "    x_t = 'Cluster size'\n",
    "    cl_name = \"2nd CSC, \"\n",
    "    bs = [100,0.,1000,100,0,1]\n",
    "    var_label = \"CSC_DNN_vs_size\"\n",
    "    \n",
    "    h2[k] = create_TH2D(np.vstack((x_var, y_var)).T,title=\"\",axis_title = [x_t,'DNN score','Events'], \n",
    "                        binning=bs)\n",
    "    \n",
    "    \n",
    "    \n",
    "    leg.SetHeader('CSC-CSC')\n",
    "    \n",
    "    h2[k].SetMarkerColor(colors[k])\n",
    "    \n",
    "    hx[k] = rt.TProfile(h2[k].ProfileX(\"profX\"+str(k)))\n",
    "    hx[k].SetLineColor(colors[k])\n",
    "    hx[k].SetLineWidth(2)\n",
    "    hx[k].SetLineStyle(1)\n",
    "    hx[k].SetMarkerColor(colors[k])\n",
    "    hx[k].SetMarkerStyle(20)\n",
    "    hx[k].SetMarkerSize(1.2)\n",
    "    #hx[k].SetMinimum(0.8)\n",
    "    #hx[k].SetMaximum(1.e6)\n",
    "    \n",
    "    hy[k] = rt.TProfile(h2[k].ProfileY(\"profY\"+str(k)))\n",
    "    hy[k].SetLineColor(colors[k])\n",
    "    hy[k].SetLineWidth(2)\n",
    "    hy[k].SetLineStyle(1)\n",
    "    hy[k].SetMarkerColor(colors[k])\n",
    "    hy[k].SetMarkerStyle(25)\n",
    "    hy[k].SetMarkerSize(1.2)\n",
    "    #hy[k].SetMinimum(0.8)\n",
    "    #hy[k].SetMaximum(1.e6)\n",
    "    #if h[k].Integral()>0 and scale:\n",
    "    #    h[k].Scale(1./h[k].Integral())\n",
    "    #    h[k].SetMinimum(0.0001)\n",
    "    #    h[k].SetMaximum(1.)\n",
    "    #if 'data' in k:\n",
    "    h2[k].Draw(\"same\")\n",
    "    hx[k].Draw('PE same')# if 'data' in k else 'HISTO same')\n",
    "    #hy[k].Draw('PE same')\n",
    "    leg.AddEntry(hx[k],cl_name+data_label[k],'PE')\n",
    "\n",
    "    #h2[k].SetMaximum(100)\n",
    "\n",
    "        \n",
    "leg.Draw()\n",
    "can.SetRightMargin(0.15)\n",
    "# if setlog: \n",
    "#can.SetLogz()\n",
    "can.Draw()\n",
    "drawCMS(lumi, \"Preliminary\", ERA=\"\", onTop=True,left_marg_CMS=0.2,top_marg_cms=0.96,top_marg_lumi=0.965)\n",
    "can.Print(\"plots/V1p19_\"+plot_folder+\"/\"+var_label+plot_string+\".pdf\")\n",
    "can.Print(\"plots/V1p19_\"+plot_folder+\"/\"+var_label+plot_string+\".png\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bb35e78a",
   "metadata": {},
   "source": [
    "# ABCD"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "5bfabd57",
   "metadata": {},
   "outputs": [],
   "source": [
    "PHI_MIN = 1.8\n",
    "PHI_CUT = 2.\n",
    "#PHI_MAX = 2.\n",
    "PHI_MAX = 2.5\n",
    "\n",
    "N_MIN = 50\n",
    "N_MAX = 500000000\n",
    "N_CUT = 200\n",
    "\n",
    "n_ev = 5000\n",
    "\n",
    "pre_cut = {}\n",
    "a = {}\n",
    "b = {}\n",
    "c = {}\n",
    "d = {}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "14a427df",
   "metadata": {},
   "outputs": [],
   "source": [
    "def extrapolation(vec,min_x,max_x,nbins):\n",
    "    h = create_TH1D(vec,title=\"\",axis_title = ['',''], binning=[nbins,min_x,max_x])#,bin_list=True)\n",
    "    #can = rt.TCanvas('c','c', 1000, 800)\n",
    "    #can.cd()\n",
    "    h.SetLineWidth(2)\n",
    "    h.SetMarkerStyle(20)\n",
    "    #f1 = rt.TF1(\"f1\",\"[0]*x + [1]\",min_x,max_x)\n",
    "    #f1.SetParameter(0,-2)\n",
    "    #f1.SetParameter(1,60)\n",
    "    f1 = rt.TF1(\"f1\",\"exp([0]*x + [1]/(x))/[2]\",min_x,max_x)\n",
    "    f1.SetParameter(0,-0.03)\n",
    "    f1.SetParameter(1,200)\n",
    "    f1.SetParameter(2,74)\n",
    "    h.Fit('f1', 'LRSQ+', '', min_x,max_x)\n",
    "    my_f1 = h.GetFunction(\"f1\")            \n",
    "    h.GetListOfFunctions().Remove(h.GetFunction(\"f1\"))\n",
    "    #h.Draw(\"PE\")\n",
    "    #h.GetXaxis().SetTitle(\"#Delta#varphi\")\n",
    "    ##h.SetTitle(\"High n hits region: \"+str(N_CUT)+\" < N hits < \" + str(N_MAX))\n",
    "    #my_f1.SetLineStyle(2)\n",
    "    #my_f1.Draw('L same')\n",
    "    #can.SetLogy()\n",
    "    #can.Draw()\n",
    "    #can.Print(\"test.pdf\")\n",
    "    #can.Print(\"test.png\")\n",
    "    return h, my_f1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "89bc2af4",
   "metadata": {},
   "outputs": [],
   "source": [
    "def run_abcd(var1,var2,MIN1,CUT1,MAX1,MIN2,CUT2,MAX2,sel,phi_th=2.2,n_th=150,do_b_extrapolation=False):\n",
    "            \n",
    "    d = np.sum([sel & (var1>=CUT1) & (var1<MAX1) & ( var2>MIN2 ) & ( var2<CUT2 )])#high n, low phi\n",
    "    #risk of unblinding D when phi gets too large. Try to predict it instead.\n",
    "    if CUT2>=phi_th:\n",
    "        low_d = np.sum([sel & (var1>=CUT1) & (var1<MAX1) & ( var2>MIN2 ) & ( var2<phi_th )])\n",
    "        high_d_flat = (CUT2-phi_th)*low_d/( phi_th - MIN2 )\n",
    "        d_pred = low_d+high_d_flat\n",
    "        print(\"d\\t d low\\t d pred\")\n",
    "        print(\"%i\\t %i\\t  %.2f\" % (d,low_d, d_pred))\n",
    "        d = low_d+high_d_flat  \n",
    "    b = np.sum([sel & (var1>=MIN1) & (var1<CUT1) & ( var2>=CUT2 ) & ( var2<MAX2 )])#low n, high phi\n",
    "    #risk of unblinding B when n hits gets too large. Try to predict it instead.\n",
    "    if CUT1>=n_th and do_b_extrapolation:\n",
    "        low_b_vec = var1[sel & (var1>=MIN1) & (var1<n_th) & ( var2>=CUT2 ) & ( var2<MAX2 )]\n",
    "        low_b = np.sum([sel & (var1>=MIN1) & (var1<n_th) & ( var2>=CUT2 ) & ( var2<MAX2 )])\n",
    "        h,my_f1 = extrapolation(low_b_vec,MIN1,CUT1,20)\n",
    "        b_pred = my_f1.Integral(n_th,CUT1) + low_b\n",
    "        print(\"b\\t b pred\")\n",
    "        print(\"%i\\t%.2f\" % (b,b_pred))\n",
    "        #high_b_flat = (CUT2-phi_th)*low_b/( phi_th - MIN2 )\n",
    "        b = my_f1.Integral(n_th,CUT1) + low_b\n",
    "        \n",
    "    c = np.sum([sel & (var1>=MIN1) & (var1<CUT1) & ( var2>MIN2 ) & ( var2<CUT2 )])#low n, low phi \n",
    "    #if CUT2>=phi_th:\n",
    "    #    #low_c = np.sum([sel & (var1>=MIN1) & (var1<CUT1) & ( var2>MIN2 ) & ( var2<phi_th )])\n",
    "    #    #high_c_flat = (CUT2-phi_th)*low_c/( phi_th - MIN2 )\n",
    "    #    #c_pred = low_c+high_c_flat\n",
    "    #    #print(\"c\\t c low\\t c pred\")\n",
    "    #    #print(\"%i\\t %i\\t  %.2f\" % (c,low_c, c_pred))\n",
    "    #    #c = low_c+high_c_flat  \n",
    "    a = np.sum([sel & (var1>=CUT1) & (var1<MAX1) & ( var2>=CUT2 ) & ( var2<MAX2 )])#SR  \n",
    "    pred = (b*d)/c\n",
    "    unc_pred = (1./b if b>0 else 0 + 1./d if d>0 else 0 + 1./c if c>0 else 0)**0.5*pred\n",
    "    if math.isnan(unc_pred): \n",
    "        p_value = float(\"nan\")\n",
    "        z_value = float(\"nan\")\n",
    "    else:\n",
    "        mu = np.random.normal(pred, unc_pred, n_ev)\n",
    "        p_value = 0.0\n",
    "        for i in mu:\n",
    "            if i < 0:continue\n",
    "            n = np.random.poisson(i, n_ev)\n",
    "            p_value += np.count_nonzero(n>=a)\n",
    "        p_value = p_value/n_ev**2\n",
    "        z_value = (norm.ppf(p_value))\n",
    "    return a,b,c,d,pred,unc_pred, p_value, z_value"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "e81b5a05",
   "metadata": {},
   "outputs": [],
   "source": [
    "def return_abcd_masks(var1,var2,MIN1,CUT1,MAX1,MIN2,CUT2,MAX2,sel):\n",
    "    d = sel & (var1>=CUT1) & (var1<MAX1) & ( var2>MIN2 ) & ( var2<CUT2 )\n",
    "    b = sel & (var1>=MIN1) & (var1<CUT1) & ( var2>=CUT2 ) & ( var2<MAX2 ) \n",
    "    c = sel & (var1>=MIN1) & (var1<CUT1) & ( var2>MIN2 ) & ( var2<CUT2 )  \n",
    "    a = sel & (var1>=CUT1) & (var1<MAX1) & ( var2>=CUT2 ) & ( var2<MAX2 )\n",
    "    return a,b,c,d"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "660fa5d2",
   "metadata": {},
   "outputs": [],
   "source": [
    "def make_datacard_2tag(outDataCardsDir,modelName,  signal_rate, normalization, bkg_rate, observation, bkg_unc, bkg_unc_name, sig_unc, sig_unc_name,signal_region, prefix):\n",
    "    a,b,c,d = bkg_rate[0], bkg_rate[1], bkg_rate[2], bkg_rate[3]\n",
    "    nSig = len(signal_rate.keys())\n",
    "    text_file = open(outDataCardsDir+modelName+\".txt\", \"w\")\n",
    "    text_file.write('# signal norm {0} \\n'.format(normalization))\n",
    "\n",
    "    text_file.write('imax {0} \\n'.format(4))\n",
    "    text_file.write('jmax {0} \\n'.format(nSig))\n",
    "    text_file.write('kmax * \\n')\n",
    "    text_file.write('shapes * * FAKE \\n')\n",
    "\n",
    "\n",
    "    text_file.write('--------------- \\n')\n",
    "    text_file.write('--------------- \\n')\n",
    "    text_file.write('bin \\t chA \\t chB \\t chC \\t chD \\n')\n",
    "    text_file.write('observation \\t {0:6.2f} \\t {1:6.2f} \\t {2:6.2f} \\t {3:6.2f} \\n'.format(observation[0],observation[1],observation[2],observation[3]))\n",
    "    text_file.write('------------------------------ \\n')\n",
    "    text_file.write('bin '+'\\t chA ' * (1+nSig) + '\\t chB ' * (1+nSig) +'\\t chC '*(1+nSig) +'\\t chD '*(1+nSig) +'\\n')\n",
    "    process_name = '\\t '+ (' \\t ').join(list(signal_rate.keys())) + '\\t bkg '\n",
    "    text_file.write('process ' + process_name * 4 + '\\n')\n",
    "    process_number = '\\t '+ (' \\t ').join(list((np.arange(nSig)*-1).astype(str))) + '\\t 1'\n",
    "    text_file.write('process ' + process_number * 4 + '\\n')\n",
    "    rate_string = 'rate'\n",
    "    for i in range(4):# 4 bins\n",
    "        for k,v in signal_rate.items():\n",
    "            rate_string +='\\t {0:e} '.format(v[i])\n",
    "        rate_string += '\\t 1 '\n",
    "    text_file.write(rate_string+'\\n')\n",
    "    text_file.write('------------------------------ \\n')\n",
    "\n",
    "    text_file.write(prefix+'A   rateParam       chA     bkg      (@0*@2/@1)                    '+prefix+'B,'+prefix+'C,'+prefix+'D \\n')\n",
    "    if b == 0: text_file.write(prefix+'B   rateParam       chB     bkg     {0:.2f}        [0,{1:.2f}] \\n'.format(b, c*7))\n",
    "    else: text_file.write(prefix+'B   rateParam       chB     bkg     {0:.2f}        [0,{1:.2f}] \\n'.format(b, b*7))\n",
    "    text_file.write(prefix+'C   rateParam       chC     bkg     {0:.2f}        [0,{1:.2f}] \\n'.format(c, c*7))\n",
    "    if d == 0:text_file.write(prefix+'D   rateParam       chD     bkg     {0:.2f}        [0,{1:.2f}] \\n'.format(d, c*7))\n",
    "    else: text_file.write(prefix+'D   rateParam       chD     bkg     {0:.2f}        [0,{1:.2f}] \\n'.format(d, d*7))\n",
    "\n",
    "\n",
    "    #for k,v in signal_rate.items():\n",
    "    #    text_file.write('norm rateParam * {0} 1  \\n'.format(k))\n",
    "        \n",
    "    '''\n",
    "\n",
    "\n",
    "  #### uncertainties ####\n",
    "    for k,v in sig_unc.items():assert(len(sig_unc_name)==len(v))\n",
    "    for i in range(len(sig_unc_name)):\n",
    "        if 'mc_stats' in sig_unc_name[i]:\n",
    "            for j, bin in enumerate(['A', 'B', 'C', 'D']):#bin\n",
    "                    for l, k in enumerate(sig_unc.keys()): #channels\n",
    "                        before = (len(sig_unc.keys())+1)*j+l\n",
    "                        after = (len(sig_unc.keys())+1)*4-before-1\n",
    "                        if sig_unc[k][i][j] > 0.0: text_file.write(sig_unc_name[i]+'_'+k+'_'+bin+' \\t gmN ' +str(int(sig_unc[k][i][j]))+ '  '+'\\t -  '*before + str(signal_rate[k][j]/int(sig_unc[k][i][j])) + '\\t - '*after +'\\n')\n",
    "\n",
    "        else:\n",
    "\n",
    "            unc_text = sig_unc_name[i]+' \\t lnN'\n",
    "            if len(sig_unc[list(sig_unc.keys())[0]][i])==4:#symmetric uncertainties\n",
    "                for j in range(4):#bin\n",
    "                    for k,v in sig_unc.items():\n",
    "                        if v[i][j] == 0.0:unc_text += ' \\t -'\n",
    "                        else: unc_text += ' \\t '+str(v[i][j]+1)\n",
    "                    unc_text += '\\t - '\n",
    "            else:#asymmetric\n",
    "                for j in range(4):#bin A, B, C, D\n",
    "                    for k,v in sig_unc.items():\n",
    "                        if  v[i][j] == 0.0 and v[i][j+4] == 0.0: unc_text += ' \\t -'\n",
    "                        else:unc_text += ' \\t {0}/{1}'.format(1-v[i][j],1+v[i][j+4])\n",
    "                    unc_text += '\\t -'\n",
    "            text_file.write(unc_text + ' \\n')\n",
    "    '''\n",
    "    for i in range(len(bkg_unc_name)):\n",
    "        bkg_unc_text = bkg_unc_name[i] + ' \\t lnN ' + '\\t - '*(4*nSig+3) + '\\t ' + str(1+bkg_unc[i]) + ' \\n'\n",
    "        text_file.write(bkg_unc_text)\n",
    "    \n",
    "\n",
    "    text_file.close()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "9b3e1cb0",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "k\t phi\t B\t C\t D\t A\t pred\t\t zval\t perc\n",
      "data\t 1.85\t 283\t 25\t 5\t 30\t 56.60 +- 3.36\t 3.64\t 88.67\n",
      "data\t 1.90\t 265\t 43\t 7\t 28\t 43.14 +- 2.65\t 2.35\t 54.07\n",
      "data\t 1.95\t 243\t 65\t 8\t 27\t 29.91 +- 1.92\t 0.56\t 10.77\n",
      "data\t 2.00\t 219\t 89\t 11\t 24\t 27.07 +- 1.83\t 0.61\t 12.78\n",
      "data\t 2.05\t 198\t 110\t 14\t 21\t 25.20 +- 1.79\t 0.88\t 20.00\n",
      "data\t 2.10\t 170\t 138\t 17\t 18\t 20.94 +- 1.61\t 0.70\t 16.34\n",
      "data\t 2.15\t 156\t 152\t 20\t 15\t 20.53 +- 1.64\t 1.28\t 36.84\n",
      "d\t d low\t d pred\n",
      "21\t 21\t  21.00\n",
      "data\t 2.20\t 130\t 178\t 21\t 14\t 15.34 +- 1.35\t 0.40\t 9.55\n",
      "d\t d low\t d pred\n",
      "25\t 21\t  23.62\n",
      "data\t 2.25\t 107\t 201\t 23\t 10\t 12.58 +- 1.22\t 0.80\t 25.76\n",
      "d\t d low\t d pred\n",
      "26\t 21\t  26.25\n",
      "data\t 2.30\t 86\t 222\t 26\t 9\t 10.17 +- 1.10\t 0.45\t 12.99\n",
      "d\t d low\t d pred\n",
      "29\t 21\t  28.87\n",
      "data\t 2.35\t 61\t 247\t 28\t 6\t 7.13 +- 0.91\t 0.53\t 18.85\n",
      "d\t d low\t d pred\n",
      "32\t 21\t  31.50\n",
      "data\t 2.40\t 44\t 264\t 31\t 3\t 5.25 +- 0.79\t 1.17\t 75.00\n",
      "d\t d low\t d pred\n",
      "32\t 21\t  34.12\n",
      "data\t 2.45\t 16\t 292\t 34\t 3\t 1.87 +- 0.47\t -0.55\t -37.67\n",
      "d\t d low\t d pred\n",
      "35\t 21\t  36.75\n",
      "data\t 2.50\t 0\t 308\t 36\t 0\t 0.00 +- 0.00\t inf\t nan\n",
      "d\t d low\t d pred\n",
      "39\t 21\t  39.37\n",
      "data\t 2.55\t 0\t 342\t 39\t 0\t 0.00 +- 0.00\t inf\t nan\n",
      "d\t d low\t d pred\n",
      "41\t 21\t  42.00\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/afs/desy.de/user/l/lbenato/.local/lib/python3.7/site-packages/ipykernel_launcher.py:50: RuntimeWarning: invalid value encountered in double_scalars\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "data\t 2.60\t 0\t 370\t 41\t 0\t 0.00 +- 0.00\t inf\t nan\n",
      "d\t d low\t d pred\n",
      "43\t 21\t  44.62\n",
      "data\t 2.65\t 0\t 392\t 44\t 0\t 0.00 +- 0.00\t inf\t nan\n",
      "d\t d low\t d pred\n",
      "43\t 21\t  47.25\n",
      "data\t 2.70\t 0\t 417\t 47\t 0\t 0.00 +- 0.00\t inf\t nan\n",
      "d\t d low\t d pred\n",
      "46\t 21\t  49.87\n",
      "data\t 2.75\t 0\t 440\t 49\t 0\t 0.00 +- 0.00\t inf\t nan\n",
      "d\t d low\t d pred\n",
      "50\t 21\t  52.50\n",
      "data\t 2.80\t 0\t 469\t 52\t 0\t 0.00 +- 0.00\t inf\t nan\n",
      "d\t d low\t d pred\n",
      "53\t 21\t  55.12\n",
      "data\t 2.85\t 0\t 497\t 55\t 0\t 0.00 +- 0.00\t inf\t nan\n",
      "d\t d low\t d pred\n",
      "56\t 21\t  57.75\n",
      "data\t 2.90\t 0\t 529\t 57\t 0\t 0.00 +- 0.00\t inf\t nan\n",
      "d\t d low\t d pred\n",
      "56\t 21\t  60.37\n",
      "data\t 2.95\t 0\t 554\t 60\t 0\t 0.00 +- 0.00\t inf\t nan\n",
      "d\t d low\t d pred\n",
      "57\t 21\t  63.00\n",
      "data\t 3.00\t 0\t 578\t 62\t 0\t 0.00 +- 0.00\t inf\t nan\n",
      "d\t d low\t d pred\n",
      "59\t 21\t  65.62\n",
      "data\t 3.05\t 0\t 612\t 65\t 0\t 0.00 +- 0.00\t inf\t nan\n",
      "d\t d low\t d pred\n",
      "60\t 21\t  68.25\n",
      "data\t 3.10\t 0\t 649\t 68\t 0\t 0.00 +- 0.00\t inf\t nan\n",
      "signal 1.85 87.59305061337595 100.2789483423262 3.020449623228161 6.040899644379056 196.9333482233094\n",
      "signal 1.9 84.57260059222506 95.44623085519028 7.853169099977766 9.061348471761749 196.93334901915486\n",
      "signal 1.95 80.34397438267204 94.84213957760734 8.457258785869756 13.28997706885116 196.9333498150003\n",
      "signal 2.0 77.32351162799367 91.21759827887352 12.081797697067175 16.31042788584752 196.93333548978188\n",
      "signal 2.05 70.67853304163644 80.94806566025498 22.351326336458374 22.955416022350366 196.93334106070017\n",
      "signal 2.1 67.05399810966635 74.30306797360652 28.996317656343095 26.579955729393255 196.93333946900918\n",
      "signal 2.15 60.40900678978164 67.6580766537218 35.64131215960968 33.224956599423585 196.93335220253675\n",
      "signal 2.2 51.95174800391189 58.596732957032856 44.70266222306237 41.68221538529335 196.93335856930045\n",
      "signal 2.25 47.72311861097701 51.95174800391189 51.34765672632896 45.910844778228224 196.93336811944607\n",
      "signal 2.3 40.47403283012749 44.098570945479445 59.20082423461579 53.15992100893212 196.93334901915483\n",
      "signal 2.35 31.412682766674806 35.03722088202676 68.26216793130473 62.22128062253043 196.93335220253672\n",
      "signal 2.4 19.330877906998417 22.955416022350366 80.34397438267204 74.30306797360652 196.93333628562735\n",
      "signal 2.45 8.457258785869756 9.665438953499208 93.63395702244149 85.176691869808 196.93334663161846\n",
      "signal 2.5 0.0 0.0 103.29939199671337 93.63395702244149 196.93334901915486\n",
      "signal 2.55 0.0 0.0 120.21392230198036 108.73620076143223 228.9501230634126\n",
      "signal 2.6 0.0 0.0 135.92024458502652 124.44254851153336 260.36279309655987\n",
      "signal 2.6500000000000004 0.0 0.0 155.25111453357027 141.3570533497454 296.6081678833157\n",
      "signal 2.7 0.0 0.0 173.37382739400314 161.29202730939954 334.6658547034027\n",
      "signal 2.75 0.0 0.0 204.78651016067792 190.89244897685305 395.67895913753097\n",
      "signal 2.8 0.0 0.0 243.44828825834787 218.07650553397485 461.5247937923227\n",
      "signal 2.85 0.0 0.0 293.5877242289285 251.30143666634345 544.889160895272\n",
      "signal 2.9000000000000004 0.0 0.0 341.3108460232874 303.8572632143108 645.1681092375982\n",
      "signal 2.95 0.0 0.0 389.63804636170175 365.47444619249455 755.1124925541963\n",
      "signal 3.0 0.0 0.0 450.0470722517746 425.279368071457 875.3264403232315\n",
      "signal 3.05 0.0 0.0 505.62331698707413 494.1456209135809 999.768937900655\n",
      "signal 3.1 0.0 0.0 585.3632128256908 561.803640266429 1147.1668530921197\n"
     ]
    }
   ],
   "source": [
    "#0, 0.5, 0.8, 1, 1.1, 1.2\n",
    "dr_min_list = [0.5]#[0.9]#[1.9]\n",
    "phi_min_scan_list = [0,0.2,0.4,0.5,0.6,0.7,0.75,0.8,0.85,0.9,0.95,1.,1.05,1.1,1.15,1.2,1.25,1.3,1.35,1.4,1.45,1.5]\n",
    "\n",
    "phi_min_scan_list = [1.1]\n",
    "phi_cut_scan_list = np.linspace(1.5,3.1,64+1)#[1.5,1.6,1.7,1.8,1.9,2.0,2.1,2.2,2.3,2.4,2.5,2.6,2.7,2.8,3.]\n",
    "phi_cut_scan_list = np.linspace(1.5,3.1,32+1)\n",
    "\n",
    "#phi_cut_scan_list = [2.85]\n",
    "N_CUT = 240\n",
    "\n",
    "time_cut_string = \"IT\"\n",
    "plot_string_plus = plot_string+\"_\"+time_cut_string+\"_dR\"+str( dr_min_list[0] ).replace(\".\",\"p\")\n",
    "leghead = \"|#Delta#eta|<1.9, \"+time_cut_string+\", #DeltaR>\"+str(dr_min_list[0])+\",\"\n",
    "\n",
    "#one per min dphi cut\n",
    "bkg_rate = {}\n",
    "#bkg_unc = {}\n",
    "observation = {}\n",
    "signal_rate = {}\n",
    "\n",
    "normalization = 1\n",
    "\n",
    "for phi_cut_scan in phi_cut_scan_list:\n",
    "    signal_rate[phi_cut_scan] = {}\n",
    "\n",
    "print('k\\t phi\\t B\\t C\\t D\\t A\\t pred\\t\\t zval\\t perc')\n",
    "if category==1:\n",
    "    #Signal\n",
    "    #Data\n",
    "    for k in ['data','signal']:\n",
    "        tmp_dphi = np.abs( dPhi_csc_csc[k] )\n",
    "        tmp_deta = np.abs(  dEta_csc_csc[k] )\n",
    "        tmp_dR = np.abs(  dR_csc_csc[k] )\n",
    "        tmp_dt = np.abs( dt_csc_csc[k] )\n",
    "        var = cscClusterSize[k][:,0]\n",
    "        t_var = cscClusterTime[k][:,0]\n",
    "        t_spread_var = cscClusterTimeSpread[k][:,0]\n",
    "        dphi = np.abs(dPhi_csc_csc[k])\n",
    "        tmp_cut = (np.abs(tmp_deta)<1.9) & (np.abs(t_var)<15) & (np.abs(t_spread_var)<20) #sel_ev[k]  &  & (sel_jetveto_csc[k][:,1]==True) & (sel_muonveto_csc[k][:,1]==True)#& (t_var<-15) #& (t_var<-15) # #& (tmp_dR>r) #(tmp_deta>=1.9)  & ( t_var<-15  )\n",
    "        for phi_cut_scan in phi_cut_scan_list:\n",
    "            if phi_cut_scan<=PHI_MIN: continue\n",
    "            if 'data' in k:\n",
    "                a[k],b[k],c[k],d[k],pred,unc_pred, p_value, z_value = run_abcd(\n",
    "                    var,dphi,\n",
    "                    N_MIN,N_CUT,N_MAX,\n",
    "                    PHI_MIN,phi_cut_scan,PHI_MAX,\n",
    "                    tmp_cut\n",
    "                    )\n",
    "                print(\"%s\\t %.2f\\t %i\\t %i\\t %i\\t %i\\t %.2f +- %.2f\\t %.2f\\t %.2f\" % (k,phi_cut_scan,b[k],c[k],d[k],a[k],pred,unc_pred,z_value, 100*(pred-a[k])/a[k]))\n",
    "                observation[phi_cut_scan] = [ pred,b[k],c[k],d[k] ]\n",
    "                bkg_rate[phi_cut_scan] = [ pred,b[k],c[k],d[k] ]\n",
    "                #bkg_unc[phi_min_scan] = [ unc_pred,np.sqrt(b[k]),np.sqrt(c[k]),np.sqrt(d[k]) ]\n",
    "            else:\n",
    "                ma,mb,mc,md = return_abcd_masks(\n",
    "                    var,dphi,\n",
    "                    N_MIN,N_CUT,N_MAX,\n",
    "                    PHI_MIN,phi_cut_scan,PHI_MAX,\n",
    "                    tmp_cut\n",
    "                    )\n",
    "                a[k] = (np.sum(weight[k][ ma ]))*lumi/NEvents['signal']*48.58\n",
    "                b[k] = (np.sum(weight[k][ mb ]))*lumi/NEvents['signal']*48.58\n",
    "                c[k] = (np.sum(weight[k][ mc ]))*lumi/NEvents['signal']*48.58\n",
    "                d[k] = (np.sum(weight[k][ md ]))*lumi/NEvents['signal']*48.58\n",
    "                print(k,phi_cut_scan,a[k],b[k],c[k],d[k], a[k]+b[k]+c[k]+d[k])\n",
    "                signal_rate[phi_cut_scan]['ggH'] = [ a[k]*normalization,b[k]*normalization,c[k]*normalization,d[k]*normalization ]\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "a7227a37",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Selection \t\t\t S \t\t Eff. S(%) \t B \t\t Eff. B(%) \t S/sqrt(B) \n",
      "No cuts\t\t\t\t 1118334.97 100.00\t\t 15508012.00\t 100.00\t\t 10889.68\n",
      ">=1 CSC\t\t\t\t 227016.98 20.300 \t 15066429.00\t 97.153\t\t 2242.72\n",
      ">=1 CSC (ME1)\t\t\t 100069.30\t 8.948\t\t 13205931.00\t 85.156\t\t 1055.94\n",
      "************************************************************\n",
      ">=2 CSC (ME1)\t\t\t 2580.67\t 0.231\t\t 143151.00\t 0.923\t\t 261.55\n",
      ">=2 CSC (ME1+L1)\t\t 1547.68\t 0.138\t\t 86693.00\t 0.559\t\t 201.56\n",
      ">=2 CSC (ME1+L1+0L)\t\t 1537.41\t 0.137\t\t 86133.00\t 0.555\t\t 200.88\n",
      ">=2 CSC (ME1+L1+0L+HLT)\t\t 1440.15\t 0.129\t\t 9006.00\t 0.058\t\t 581.92\n",
      ">=2 CSC (ME1+L1+0L+HLT+dPhi)\t 1296.38\t 0.116\t\t 1302.00\t 0.008\t\t 1377.68\n",
      ">=2 CSC 2 tagged DNN>0.7\t 718.26\t 0.0642\t\t 27.00\t\t 0.0002\t\t 5300.57\n",
      ">=2 CSC 2 tagged DNN>0.8\t 601.07\t 0.0537\t\t 19.00\t\t 0.0001\t\t 5287.73\n",
      ">=2 CSC 2 tagged DNN>0.9\t 401.72\t 0.0359\t\t 8.00\t\t 0.0001\t\t 5446.28\n"
     ]
    }
   ],
   "source": [
    "#print(tree_keys)\n",
    "    \n",
    "denS = signal_gen_yield\n",
    "denD = np.sum(all_weight['data'])\n",
    "ks = 'signal'\n",
    "kd = 'data'\n",
    "L=lumi/NEvents['signal']*48.58\n",
    "#L=lumi/1000.\n",
    "print(\"Selection \\t\\t\\t S \\t\\t Eff. S(%) \\t B \\t\\t Eff. B(%) \\t S/sqrt(B) \")\n",
    "print(\"%s\\t\\t\\t\\t %.2f %.2f\\t\\t %.2f\\t %.2f\\t\\t %.2f\" % \n",
    "            (\"No cuts\",\n",
    "                np.sum(all_weight[ks])*L, (100*np.sum(all_weight[ks])*L)/denS, \n",
    "                np.sum(all_weight[kd])  , (100*np.sum(all_weight[kd]))/denD,\n",
    "                (np.sum(all_weight[ks]))/(np.sqrt(np.sum(all_weight[kd])))\n",
    "              )\n",
    "             )\n",
    "                                             \n",
    "print(\"%s\\t\\t\\t\\t %.2f %.3f \\t %.2f\\t %.3f\\t\\t %.2f\" % \n",
    "            (\">=1 CSC\", \n",
    "               (np.sum(n_1CSC[ks])*L) , (100*np.sum(n_1CSC[ks])*L)/denS,\n",
    "               (np.sum(n_1CSC[kd])) , (100*np.sum(n_1CSC[kd]))/denD,\n",
    "               (np.sum(n_1CSC[ks]))/np.sqrt(np.sum(n_1CSC[kd]))\n",
    "             )\n",
    "            )\n",
    "#print(\"%s\\t\\t %.2f\\t %.3f\\t\\t %.2f\\t %.3f\\t\\t %.2f\" % \n",
    "#      (\">=1 CSC (ME1 old)\", \n",
    "#       (np.sum(n_1CSC_ME1_old[ks])*L) , (100*np.sum(n_1CSC_ME1_old[ks])*L)/denS,\n",
    "#       (np.sum(n_1CSC_ME1_old[kd])) , (100*np.sum(n_1CSC_ME1_old[kd]))/denD,\n",
    "#       (np.sum(n_1CSC_ME1_old[ks]))/(np.sqrt(np.sum(n_1CSC_ME1_old[kd]))),\n",
    "#      )\n",
    "#     )\n",
    "print(\"%s\\t\\t\\t %.2f\\t %.3f\\t\\t %.2f\\t %.3f\\t\\t %.2f\" % \n",
    "      (\">=1 CSC (ME1)\", \n",
    "       (np.sum(n_1CSC_ME1[ks])*L) , (100*np.sum(n_1CSC_ME1[ks])*L)/denS,\n",
    "       (np.sum(n_1CSC_ME1[kd])) , (100*np.sum(n_1CSC_ME1[kd]))/denD,\n",
    "       (np.sum(n_1CSC_ME1[ks]))/(np.sqrt(np.sum(n_1CSC_ME1[kd]))),\n",
    "      )\n",
    "     )\n",
    "\n",
    "#print(\"%s\\t\\t %.2f\\t %.3f\\t\\t %.2f\\t %.3f\\t\\t %.2f\" % \n",
    "#      (\">=1 CSC (ME1+L1)\", \n",
    "#       (np.sum(n_1CSC_ME1_plateau[ks])*L) , (100*np.sum(n_1CSC_ME1_plateau[ks])*L)/denS,\n",
    "#       (np.sum(n_1CSC_ME1_plateau[kd])) , (100*np.sum(n_1CSC_ME1_plateau[kd]))/denD,\n",
    "#       (np.sum(n_1CSC_ME1_plateau[ks]))/(np.sqrt(np.sum(n_1CSC_ME1_plateau[kd]))),\n",
    "#      )\n",
    "#     )\n",
    "    \n",
    "#print(\"%s\\t\\t %.2f\\t %.3f\\t\\t %.2f\\t %.3f\\t\\t %.2f\" % \n",
    "#      (\">=1 CSC (ME1+L1+0L)\", \n",
    "#       (np.sum(n_1CSC_ME1_plateau_0lep[ks])*L) , (100*np.sum(n_1CSC_ME1_plateau_0lep[ks])*L)/denS,\n",
    "#       (np.sum(n_1CSC_ME1_plateau_0lep[kd])) , (100*np.sum(n_1CSC_ME1_plateau_0lep[kd]))/denD,\n",
    "#       (np.sum(n_1CSC_ME1_plateau_0lep[ks]))/(np.sqrt(np.sum(n_1CSC_ME1_plateau_0lep[kd]))),\n",
    "#      )\n",
    "#     )\n",
    "print(\"************************************************************\")\n",
    "#print(\"%s\\t\\t %.2f\\t %.3f\\t\\t %.2f\\t %.3f\\t\\t %.2f\" % \n",
    "#      (\">=2 CSC (ME1 old)\", \n",
    "#       (np.sum(n_2CSC_ME1_old[ks])*L) , (100*np.sum(n_2CSC_ME1_old[ks])*L)/denS,\n",
    "#       (np.sum(n_2CSC_ME1_old[kd])) , (100*np.sum(n_2CSC_ME1_old[kd]))/denD,\n",
    "#       (np.sum(n_2CSC_ME1_old[ks]))/(np.sqrt(np.sum(n_2CSC_ME1_old[kd]))),\n",
    "#      )\n",
    "#     )\n",
    "print(\"%s\\t\\t\\t %.2f\\t %.3f\\t\\t %.2f\\t %.3f\\t\\t %.2f\" % \n",
    "      (\">=2 CSC (ME1)\", \n",
    "       (np.sum(n_2CSC_ME1[ks])*L) , (100*np.sum(n_2CSC_ME1[ks])*L)/denS,\n",
    "       (np.sum(n_2CSC_ME1[kd])) , (100*np.sum(n_2CSC_ME1[kd]))/denD,\n",
    "       (np.sum(n_2CSC_ME1[ks]))/(np.sqrt(np.sum(n_2CSC_ME1[kd]))),\n",
    "      )\n",
    "     )\n",
    "    \n",
    "print(\"%s\\t\\t %.2f\\t %.3f\\t\\t %.2f\\t %.3f\\t\\t %.2f\" % \n",
    "      (\">=2 CSC (ME1+L1)\", \n",
    "       (np.sum(n_2CSC_ME1_plateau[ks])*L) ,  (100*np.sum(n_2CSC_ME1_plateau[ks])*L)/denS,\n",
    "       (np.sum(n_2CSC_ME1_plateau[kd])) ,  (100*np.sum(n_2CSC_ME1_plateau[kd]))/denD,\n",
    "       (np.sum(n_2CSC_ME1_plateau[ks]))/(np.sqrt(np.sum(n_2CSC_ME1_plateau[kd]))),\n",
    "      )\n",
    "     )\n",
    "\n",
    "\n",
    "print(\"%s\\t\\t %.2f\\t %.3f\\t\\t %.2f\\t %.3f\\t\\t %.2f\" % \n",
    "      (\">=2 CSC (ME1+L1+0L)\", \n",
    "       (np.sum(n_2CSC_ME1_plateau_0lep[ks])*L) ,  (100*np.sum(n_2CSC_ME1_plateau_0lep[ks])*L)/denS,\n",
    "       (np.sum(n_2CSC_ME1_plateau_0lep[kd])) ,  (100*np.sum(n_2CSC_ME1_plateau_0lep[kd]))/denD,\n",
    "       (np.sum(n_2CSC_ME1_plateau_0lep[ks]))/(np.sqrt(np.sum(n_2CSC_ME1_plateau_0lep[kd]))),\n",
    "      )\n",
    "     )\n",
    "print(\"%s\\t\\t %.2f\\t %.3f\\t\\t %.2f\\t %.3f\\t\\t %.2f\" % \n",
    "      (\">=2 CSC (ME1+L1+0L+HLT)\", \n",
    "       (np.sum(n_2CSC_ME1_plateau_0lep_hlt[ks])*L) ,  (100*np.sum(n_2CSC_ME1_plateau_0lep_hlt[ks])*L)/denS,\n",
    "       (np.sum(n_2CSC_ME1_plateau_0lep_hlt[kd])) ,  (100*np.sum(n_2CSC_ME1_plateau_0lep_hlt[kd]))/denD,\n",
    "       (np.sum(n_2CSC_ME1_plateau_0lep_hlt[ks]))/(np.sqrt(np.sum(n_2CSC_ME1_plateau_0lep_hlt[kd]))),\n",
    "      )\n",
    "     )\n",
    "    \n",
    "print(\"%s\\t %.2f\\t %.3f\\t\\t %.2f\\t %.3f\\t\\t %.2f\" % \n",
    "      (\">=2 CSC (ME1+L1+0L+HLT+dPhi)\", \n",
    "       (np.sum(n_2CSC_ME1_plateau_0lep_hlt_dphi[ks])*L) , (100*np.sum(n_2CSC_ME1_plateau_0lep_hlt_dphi[ks])*L)/denS,\n",
    "       (np.sum(n_2CSC_ME1_plateau_0lep_hlt_dphi[kd])) , (100*np.sum(n_2CSC_ME1_plateau_0lep_hlt_dphi[kd]))/denD,\n",
    "       (np.sum(n_2CSC_ME1_plateau_0lep_hlt_dphi[ks]))/(np.sqrt(np.sum(n_2CSC_ME1_plateau_0lep_hlt_dphi[kd]))),\n",
    "      )\n",
    "     )\n",
    "    \n",
    "    \n",
    "sel_s = (  np.abs(dPhi_csc_csc[ks])>1.8 )\n",
    "n_tag_s = weight[ks][sel_s][ (tr_cscClusterDNN[ks][sel_s][:,0]>0.7) & (cscClusterDNN[ks][sel_s][:,0]>0.7) ].sum()\n",
    "sel_d = (  np.abs(dPhi_csc_csc[kd])>1.8) & (np.abs(dPhi_csc_csc[kd])<2.5)\n",
    "n_tag_d = weight[kd][sel_d][ (tr_cscClusterDNN[kd][sel_d][:,0]>0.7) & (cscClusterDNN[kd][sel_d][:,0]>0.7) ].sum()\n",
    "\n",
    "print(\"%s\\t %.2f\\t %.4f\\t\\t %.2f\\t\\t %.4f\\t\\t %.2f\" % \n",
    "      (\">=2 CSC 2 tagged DNN>0.7\", \n",
    "       n_tag_s*L , (100*n_tag_s*L)/denS,\n",
    "       n_tag_d , (100*n_tag_d)/denD,\n",
    "       n_tag_s/np.sqrt(n_tag_d),\n",
    "     )\n",
    "     )\n",
    "\n",
    "    \n",
    "sel_s = (  np.abs(dPhi_csc_csc[ks])>1.8 )\n",
    "n_tag_s = weight[ks][sel_s][ (tr_cscClusterDNN[ks][sel_s][:,0]>0.8) & (cscClusterDNN[ks][sel_s][:,0]>0.8) ].sum()\n",
    "sel_d = (  np.abs(dPhi_csc_csc[kd])>1.8) & (np.abs(dPhi_csc_csc[kd])<2.5)\n",
    "n_tag_d = weight[kd][sel_d][ (tr_cscClusterDNN[kd][sel_d][:,0]>0.8) & (cscClusterDNN[kd][sel_d][:,0]>0.8) ].sum()\n",
    "\n",
    "print(\"%s\\t %.2f\\t %.4f\\t\\t %.2f\\t\\t %.4f\\t\\t %.2f\" % \n",
    "      (\">=2 CSC 2 tagged DNN>0.8\", \n",
    "       n_tag_s*L , (100*n_tag_s*L)/denS,\n",
    "       n_tag_d , (100*n_tag_d)/denD,\n",
    "       n_tag_s/np.sqrt(n_tag_d),\n",
    "     )\n",
    "     )\n",
    "\n",
    "sel_s = (  np.abs(dPhi_csc_csc[ks])>1.8 )\n",
    "n_tag_s = weight[ks][sel_s][ (tr_cscClusterDNN[ks][sel_s][:,0]>0.9) & (cscClusterDNN[ks][sel_s][:,0]>0.9) ].sum()\n",
    "sel_d = (  np.abs(dPhi_csc_csc[kd])>1.8) & (np.abs(dPhi_csc_csc[kd])<2.5)\n",
    "n_tag_d = weight[kd][sel_d][ (tr_cscClusterDNN[kd][sel_d][:,0]>0.9) & (cscClusterDNN[kd][sel_d][:,0]>0.9) ].sum()\n",
    "\n",
    "print(\"%s\\t %.2f\\t %.4f\\t\\t %.2f\\t\\t %.4f\\t\\t %.2f\" % \n",
    "      (\">=2 CSC 2 tagged DNN>0.9\", \n",
    "       n_tag_s*L , (100*n_tag_s*L)/denS,\n",
    "       n_tag_d , (100*n_tag_d)/denD,\n",
    "       n_tag_s/np.sqrt(n_tag_d),\n",
    "     )\n",
    "     )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d050d007",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c16a6eac",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "67fefe9e",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d0f74bd0",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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