new_analyser.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "import pandas as pd\n",
    "from pandas import DataFrame, Series\n",
    "import numpy as np\n",
    "import math\n",
    "\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.patches as mpatches\n",
    "import matplotlib.colors as colors\n",
    "from matplotlib.legend_handler import HandlerLine2D, HandlerTuple\n",
    "from matplotlib.colors import LinearSegmentedColormap\n",
    "from scipy import stats\n",
    "import scikit_posthocs as sp\n",
    "import sys\n",
    "\n",
    "from mpl_toolkits.mplot3d import axes3d"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "AllName=\"dataG.pkl\"\n",
    "ResizesName=\"dataM.pkl\"\n",
    "ItersName=\"dataL.pkl\"\n",
    "matrixIt_Total=\"data_L_Total.csv\"\n",
    "n_cores=20\n",
    "repet = 10 #CAMBIAR EL NUMERO SEGUN NUMERO DE EJECUCIONES POR CONFIG\n",
    "\n",
    "significance_value = 0.05\n",
    "processes = [2,20,40,80,120,160]\n",
    "\n",
    "positions = [321, 322, 323, 324, 325]\n",
    "positions_small = [221, 222, 223, 224]\n",
    "\n",
    "labels = ['(1,10)',   '(1,20)',   '(1,40)',  '(1,80)',  '(1,120)','(1,160)',\n",
    "            '(10,1)', '(10,20)',  '(10,40)', '(10,80)', '(10,120)','(10,160)',\n",
    "            '(20,1)', '(20,10)',  '(20,40)', '(20,80)', '(20,120)','(20,160)',\n",
    "            '(40,1)', '(40,10)',  '(40,20)', '(40,80)', '(40,120)','(40,160)',\n",
    "            '(80,1)', '(80,10)',  '(80,20)', '(80,40)', '(80,120)','(80,160)',\n",
    "            '(120,1)','(120,10)', '(120,20)','(120,40)','(120,80)','(120,160)',\n",
    "            '(160,1)','(160,10)', '(160,20)','(160,40)','(160,80)','(160,120)']\n",
    "\n",
    "labelsExpand = ['(1,10)',   '(1,20)',   '(1,40)',  '(1,80)',  '(1,120)','(1,160)',\n",
    "            '(10,20)',  '(10,40)', '(10,80)', '(10,120)','(10,160)',\n",
    "            '(20,40)', '(20,80)', '(20,120)','(20,160)',\n",
    "            '(40,80)', '(40,120)','(40,160)',\n",
    "            '(80,120)','(80,160)',\n",
    "            '(120,160)']\n",
    "labelsShrink = ['(10,1)', \n",
    "            '(20,1)', '(20,10)',\n",
    "            '(40,1)', '(40,10)',  '(40,20)',\n",
    "            '(80,1)', '(80,10)',  '(80,20)', '(80,40)',\n",
    "            '(120,1)','(120,10)', '(120,20)','(120,40)','(120,80)',\n",
    "            '(160,1)','(160,10)', '(160,20)','(160,40)','(160,80)','(160,120)']\n",
    "\n",
    "#                       WORST        BEST\n",
    "labels_dist = ['null', 'SpreadFit', 'CompactFit']\n",
    "                  #0          #1                #2                        #3\n",
    "labelsMethods = ['Baseline', 'Baseline single','Baseline - Asynchronous','Baseline single - Asynchronous',\n",
    "                 'Merge','Merge single','Merge - Asynchronous','Merge single - Asynchronous']\n",
    "                  #4      #5             #6                     #7\n",
    "    \n",
    "colors_m = ['green','darkgreen','red','darkred','mediumseagreen','seagreen','palegreen','springgreen','indianred','firebrick','darkgoldenrod','saddlebrown']\n",
    "linestyle_m = ['-', '--', '-.', ':']\n",
    "markers_m = ['.','v','s','p', 'h','d','X','P','^']\n",
    "\n",
    "OrMult_patch = mpatches.Patch(hatch='', facecolor='green', label='Baseline')\n",
    "OrSing_patch = mpatches.Patch(hatch='', facecolor='springgreen', label='Baseline single')\n",
    "OrPthMult_patch = mpatches.Patch(hatch='//', facecolor='blue', label='Baseline - Asyncrhonous')\n",
    "OrPthSing_patch = mpatches.Patch(hatch='\\\\', facecolor='darkblue', label='Baseline single - Asyncrhonous')\n",
    "MergeMult_patch = mpatches.Patch(hatch='||', facecolor='red', label='Merge')\n",
    "MergeSing_patch = mpatches.Patch(hatch='...', facecolor='darkred', label='Merge single')\n",
    "MergePthMult_patch = mpatches.Patch(hatch='xx', facecolor='yellow', label='Merge - Asyncrhonous')\n",
    "MergePthSing_patch = mpatches.Patch(hatch='++', facecolor='olive', label='Merge single - Asyncrhonous')\n",
    "\n",
    "handles_spawn = [OrMult_patch,OrSing_patch,OrPthMult_patch,OrPthSing_patch,MergeMult_patch,MergeSing_patch,MergePthMult_patch,MergePthSing_patch]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "dfG = pd.read_pickle( AllName )\n",
    "\n",
    "dfG['ADR'] = round((dfG['ADR'] / dfG['DR']) * 100,1)\n",
    "dfG['SDR'] = round((dfG['SDR'] / dfG['DR']) * 100,1)\n",
    "       \n",
    "out_group = dfG.groupby(['Groups', 'ADR','Spawn_Method','Redistribution_Method', 'Redistribution_Strategy'])['T_total']\n",
    "group = dfG.groupby(['ADR','Spawn_Method','Redistribution_Method', 'Redistribution_Strategy','Groups'])['T_total']\n",
    "\n",
    "grouped_aggG = group.agg(['median'])\n",
    "grouped_aggG.rename(columns={'median':'T_total'}, inplace=True) \n",
    "\n",
    "out_grouped_G = out_group.agg(['median'])\n",
    "out_grouped_G.rename(columns={'median':'T_total'}, inplace=True) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_4190/462116935.py:8: FutureWarning: Indexing with multiple keys (implicitly converted to a tuple of keys) will be deprecated, use a list instead.\n",
      "  out_group = dfM.groupby(['NP','NC','ADR','Spawn_Method','Redistribution_Method', 'Redistribution_Strategy'])['T_Malleability','T_Redistribution','T_spawn','T_spawn_real','T_SR','T_AR']\n",
      "/tmp/ipykernel_4190/462116935.py:9: FutureWarning: Indexing with multiple keys (implicitly converted to a tuple of keys) will be deprecated, use a list instead.\n",
      "  group = dfM.groupby(['ADR','Spawn_Method','Redistribution_Method', 'Redistribution_Strategy','NP','NC'])['T_Malleability','T_Redistribution','T_spawn','T_spawn_real','T_SR','T_AR']\n"
     ]
    }
   ],
   "source": [
    "dfM = pd.read_pickle( ResizesName )\n",
    "\n",
    "dfM['ADR'] = round((dfM['ADR'] / dfM['DR']) * 100,1)\n",
    "dfM['SDR'] = round((dfM['SDR'] / dfM['DR']) * 100,1)\n",
    "dfM['T_Redistribution'] = dfM['T_SR'] + dfM['T_AR']\n",
    "dfM['T_Malleability'] = dfM['T_spawn'] + dfM['T_Redistribution']\n",
    "       \n",
    "out_group = dfM.groupby(['NP','NC','ADR','Spawn_Method','Redistribution_Method', 'Redistribution_Strategy'])['T_Malleability','T_Redistribution','T_spawn','T_spawn_real','T_SR','T_AR']\n",
    "group = dfM.groupby(['ADR','Spawn_Method','Redistribution_Method', 'Redistribution_Strategy','NP','NC'])['T_Malleability','T_Redistribution','T_spawn','T_spawn_real','T_SR','T_AR']\n",
    "\n",
    "grouped_aggM = group.agg(['median'])\n",
    "grouped_aggM.columns = grouped_aggM.columns.get_level_values(0)\n",
    "\n",
    "out_grouped_M = out_group.agg(['median'])\n",
    "out_grouped_M.columns = out_grouped_M.columns.get_level_values(0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_4190/2495314167.py:17: FutureWarning: Not prepending group keys to the result index of transform-like apply. In the future, the group keys will be included in the index, regardless of whether the applied function returns a like-indexed object.\n",
      "To preserve the previous behavior, use\n",
      "\n",
      "\t>>> .groupby(..., group_keys=False)\n",
      "\n",
      "To adopt the future behavior and silence this warning, use \n",
      "\n",
      "\t>>> .groupby(..., group_keys=True)\n",
      "  aux_column = group.apply(list).apply(lambda x: np.median(x,0))\n"
     ]
    }
   ],
   "source": [
    "dfL = pd.read_pickle( ItersName )\n",
    "\n",
    "#Fixme comprobar si hay iters asincronas antes de esto\n",
    "#dfL['ADR'] = round((dfL['ADR'] / dfL['DR']) * 100,1)\n",
    "#dfL['SDR'] = round((dfL['SDR'] / dfL['DR']) * 100,1)\n",
    "dfL['ADR'].fillna(-1, inplace=True)\n",
    "dfL['SDR'].fillna(-1, inplace=True)\n",
    "dfL['DR'].fillna(-1, inplace=True)\n",
    "       \n",
    "aux_df = dfL[(dfL.Asynch_Iters == True)]\n",
    "group = aux_df.groupby(['ADR','Spawn_Method','Redistribution_Method', 'Redistribution_Strategy','NP','NC'])['T_iter']\n",
    "grouped_aggLAsynch = group.agg(['median','count'])\n",
    "grouped_aggLAsynch.columns = grouped_aggLAsynch.columns.get_level_values(0)\n",
    "grouped_aggLAsynch['T_sum'] = grouped_aggLAsynch['count'] * grouped_aggLAsynch['median'] / repet\n",
    "grouped_aggLAsynch.rename(columns={'median':'T_iter'}, inplace=True) \n",
    "group = aux_df.groupby(['ADR','Spawn_Method','Redistribution_Method', 'Redistribution_Strategy','NP','NC'])['T_stages']\n",
    "aux_column = group.apply(list).apply(lambda x: np.median(x,0))\n",
    "grouped_aggLAsynch['T_stages'] = aux_column\n",
    "\n",
    "aux_df = dfL[(dfL.Asynch_Iters == False)]\n",
    "group = aux_df.groupby('NP')['T_iter']\n",
    "grouped_aggLSynch = group.agg(['median'])\n",
    "grouped_aggLSynch.rename(columns={'median':'T_iter'}, inplace=True)\n",
    "group = aux_df.groupby(['NP'])['T_stages']\n",
    "aux_column = group.apply(list).apply(lambda x: np.median(x,0))\n",
    "grouped_aggLSynch['T_stages'] = aux_column\n",
    "\n",
    "aux_df2 = aux_df[(aux_df.Is_Dynamic == True)]\n",
    "group = aux_df2.groupby(['ADR', 'Spawn_Method','Redistribution_Method', 'Redistribution_Strategy','NP','N_Parents'])['T_iter']\n",
    "grouped_aggLDyn = group.agg(['median'])\n",
    "grouped_aggLDyn.rename(columns={'median':'T_iter'}, inplace=True)\n",
    "group = aux_df2.groupby(['ADR', 'Spawn_Method','Redistribution_Method', 'Redistribution_Strategy','NP','N_Parents'])['T_stages']\n",
    "aux_column = group.apply(list).apply(lambda x: np.median(x,0))\n",
    "grouped_aggLDyn['T_stages'] = aux_column\n",
    "\n",
    "aux_df2 = aux_df[(aux_df.Is_Dynamic == False)]\n",
    "group = aux_df2.groupby('NP')['T_iter']\n",
    "grouped_aggLNDyn = group.agg(['median'])\n",
    "grouped_aggLNDyn.rename(columns={'median':'T_iter'}, inplace=True)\n",
    "group = aux_df2.groupby(['NP'])['T_stages']\n",
    "aux_column = group.apply(list).apply(lambda x: np.median(x,0))\n",
    "grouped_aggLNDyn['T_stages'] = aux_column"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "from bt_scheme import PartialSolution, BacktrackingSolver\n",
    "def elegirConf(parameters):\n",
    "    class StatePS(PartialSolution):\n",
    "        def __init__(self, config):\n",
    "            self.config= config\n",
    "            self.n= len(config) #Indica el valor a añadir\n",
    "\n",
    "        def is_solution(self):\n",
    "            return self.n == len(parameters)\n",
    "\n",
    "        def get_solution(self):\n",
    "            return tuple(self.config)\n",
    "\n",
    "        def successors(self):\n",
    "            array = parameters[self.n]\n",
    "            for parameter_value in array: #Test all values of the next parameter\n",
    "                self.config.append(parameter_value)\n",
    "                yield StatePS(self.config)\n",
    "                self.config.pop()\n",
    "\n",
    "    initialPs= StatePS([])\n",
    "    return BacktrackingSolver().solve(initialPs)\n",
    "\n",
    "\n",
    "def obtenerConfs(parameters):\n",
    "    soluciones=[]\n",
    "    for solucion in elegirConf(parameters):\n",
    "        soluciones.append(solucion)\n",
    "    return soluciones\n",
    "\n",
    "def modifyToGlobal(parameters, len_parameters, configuration):\n",
    "    usable_configuration = []\n",
    "    for i in range(len(parameters)):\n",
    "        if len_parameters[i] > 1:\n",
    "            aux = (parameters[i][0], configuration[i])\n",
    "        else:\n",
    "            aux = (configuration[i])\n",
    "        usable_configuration.append(aux)\n",
    "        \n",
    "    return usable_configuration\n",
    "\n",
    "def modifyToLocalDynamic(parameters, len_parameters, configuration):\n",
    "    usable_configuration = []\n",
    "    for i in range(len(parameters)):\n",
    "        if len_parameters[i] > 1:\n",
    "            aux = (configuration[i], -1)\n",
    "        else:\n",
    "            aux = (-1)\n",
    "        usable_configuration.append(aux)\n",
    "        \n",
    "    return tuple(usable_configuration)\n",
    "\n",
    "def CheckConfExists(configuration, dataSet, type_conf='global'):\n",
    "    exists = False\n",
    "    config = list(configuration)\n",
    "    for np_aux in processes:\n",
    "        for ns_aux in processes:\n",
    "            if np_aux != ns_aux:\n",
    "                \n",
    "                if type_conf == 'global':\n",
    "                    config.append((np_aux, ns_aux))\n",
    "                elif type_conf == 'malleability':\n",
    "                    config.append(np_aux)\n",
    "                    config.append(ns_aux)\n",
    "                elif type_conf == 'local':\n",
    "                    config.append(np_aux)\n",
    "                    \n",
    "                if tuple(config) in dataSet.index:     \n",
    "                    exists = True # FIXME Return here true?\n",
    "                config.pop()\n",
    "                \n",
    "                if type_conf == 'malleability':\n",
    "                    config.pop()\n",
    "    return exists"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[0, 0, 0, 1], [0, 0, 1, 1], [0, 1, 0, 1], [0, 1, 1, 1], [0, 2, 0, 1], [0, 2, 1, 1], [100, 0, 0, 1], [100, 0, 1, 1], [100, 1, 0, 1], [100, 1, 1, 1], [100, 2, 0, 1], [100, 2, 1, 1]]\n",
      "[[-1, (1, -1), (1, -1), (1, -1)], [-1, (0, -1), (1, -1), (1, -1)], [-1, (2, -1), (1, -1), (1, -1)], [-1, (0, -1), (0, -1), (1, -1)], [-1, (2, -1), (0, -1), (1, -1)], [-1, (1, -1), (0, -1), (1, -1)]]\n",
      "[[0, (0, 0), (0, 0), (1, 1)], [0, (0, 0), (0, 1), (1, 1)], [0, (0, 1), (0, 0), (1, 1)], [0, (0, 1), (0, 1), (1, 1)], [0, (0, 2), (0, 0), (1, 1)], [0, (0, 2), (0, 1), (1, 1)], [100, (0, 0), (0, 0), (1, 1)], [100, (0, 0), (0, 1), (1, 1)], [100, (0, 1), (0, 0), (1, 1)], [100, (0, 1), (0, 1), (1, 1)], [100, (0, 2), (0, 0), (1, 1)], [100, (0, 2), (0, 1), (1, 1)]]\n",
      "12\n"
     ]
    }
   ],
   "source": [
    "adr = [0,100]\n",
    "sp_method = [0,1,2]\n",
    "rd_method = [0,1]\n",
    "rd_strat  = [1]\n",
    "parameters = [adr, sp_method, rd_method, rd_strat]\n",
    "parameters_names = ['ADR', 'Spawn_Method', 'Redistribution_Method', 'Redistribution_Strategy']\n",
    "len_parameters = [1,2,2,2]\n",
    "configurations_aux = obtenerConfs(parameters)\n",
    "configurations = []\n",
    "configurations_local_dynamic = set()\n",
    "configurations_local = set()\n",
    "configurations_simple = []\n",
    "for checked_conf in configurations_aux:\n",
    "    aux_conf = modifyToGlobal(parameters, len_parameters, checked_conf)\n",
    "    if CheckConfExists(aux_conf, grouped_aggG):\n",
    "        configurations.append(aux_conf)\n",
    "\n",
    "    if CheckConfExists(checked_conf, grouped_aggM, 'malleability'):\n",
    "        configurations_simple.append(list(checked_conf))\n",
    "        \n",
    "    aux_conf = modifyToLocalDynamic(parameters, len_parameters, checked_conf)\n",
    "    if CheckConfExists(aux_conf, grouped_aggLDyn, 'local'):\n",
    "        configurations_local_dynamic.add(aux_conf)\n",
    "\n",
    "configurations_local_dynamic = list(configurations_local_dynamic)\n",
    "for index in range(len(configurations_local_dynamic)):\n",
    "    configurations_local_dynamic[index] = list(configurations_local_dynamic[index])\n",
    "\n",
    "print(configurations_simple)\n",
    "print(configurations_local_dynamic)\n",
    "print(configurations)\n",
    "print(len(configurations))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "#ALPHA COMPUTATION\n",
    "def compute_alpha(config_a, config_b):\n",
    "    for np_aux in processes:\n",
    "        for ns_aux in processes:\n",
    "            if np_aux != ns_aux:\n",
    "                config_a.append(np_aux)\n",
    "                config_a.append(ns_aux)\n",
    "                config_b.append(np_aux)\n",
    "                config_b.append(ns_aux)\n",
    "                grouped_aggM.loc[tuple(config_b),'Alpha'] = grouped_aggM.loc[tuple(config_b),'T_Malleability'] / grouped_aggM.loc[tuple(config_a),'T_Malleability']\n",
    "                #grouped_aggM.loc[tuple(config_b),'Alpha'] = grouped_aggM.loc[tuple(config_b),'T_Redistribution'] / grouped_aggM.loc[tuple(config_a),'T_Redistribution']\n",
    "                config_a.pop()\n",
    "                config_a.pop()\n",
    "                config_b.pop()\n",
    "                config_b.pop()\n",
    "                \n",
    "                \n",
    "                config_a.insert(0,ns_aux)\n",
    "                config_a.insert(0,np_aux)\n",
    "                config_b.insert(0,ns_aux)\n",
    "                config_b.insert(0,np_aux)\n",
    "                out_grouped_M.loc[tuple(config_b),'Alpha'] = out_grouped_M.loc[tuple(config_b),'T_Malleability'] / out_grouped_M.loc[tuple(config_a),'T_Malleability']\n",
    "                #out_grouped_M.loc[tuple(config_b),'Alpha'] = out_grouped_M.loc[tuple(config_b),'T_Redistribution'] / out_grouped_M.loc[tuple(config_a),'T_Redistribution']\n",
    "                \n",
    "                config_a.pop(0)\n",
    "                config_a.pop(0)\n",
    "                config_b.pop(0)\n",
    "                config_b.pop(0)\n",
    "\n",
    "if not ('Alpha' in grouped_aggM.columns):\n",
    "    for config_a in configurations_simple:\n",
    "        for config_b in configurations_simple:\n",
    "            if config_a[1:-1] == config_b[1:-1] and config_a[0] == 0 and config_b[0] != 0:\n",
    "                compute_alpha(config_a, config_b)\n",
    "else:\n",
    "    print(\"ALPHA already exists\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#OMEGA COMPUTATION\n",
    "def compute_omega(config):\n",
    "    for np_aux in processes:\n",
    "        for ns_aux in processes:\n",
    "            if np_aux != ns_aux:\n",
    "                if len(config) > len(parameters):\n",
    "                    config.pop()\n",
    "                    config.pop()\n",
    "                config.append(np_aux)\n",
    "                config.append(ns_aux)\n",
    "                grouped_aggLAsynch.at[tuple(config),'Omega'] = grouped_aggLAsynch.at[tuple(config),'T_iter'] / grouped_aggLSynch.at[np_aux,'T_iter']\n",
    "                value = grouped_aggLAsynch.at[tuple(config),'T_stages'] / grouped_aggLSynch.at[np_aux,'T_stages']\n",
    "                grouped_aggLAsynch.at[tuple(config),'Omega_Stages'] = value.astype(object)\n",
    "                config.pop()\n",
    "                config.pop()\n",
    "\n",
    "if not ('Omega' in grouped_aggLAsynch.columns):\n",
    "    for config in configurations:\n",
    "        if config[0] != 0:\n",
    "            compute_omega(config)\n",
    "else:\n",
    "    print(\"OMEGA already exists\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/usuario/miniconda3/lib/python3.9/site-packages/pandas/core/algorithms.py:1669: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.\n",
      "  return arr.searchsorted(value, side=side, sorter=sorter)  # type: ignore[arg-type]\n",
      "/home/usuario/miniconda3/lib/python3.9/site-packages/pandas/core/algorithms.py:1669: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.\n",
      "  return arr.searchsorted(value, side=side, sorter=sorter)  # type: ignore[arg-type]\n"
     ]
    }
   ],
   "source": [
    "#Dynamic Coherence COMPUTATION\n",
    "def compute_dyn_coherency(config):\n",
    "    for np_aux in processes:\n",
    "        for n_parents_aux in processes:\n",
    "            if np_aux != n_parents_aux:\n",
    "                config.append(np_aux)\n",
    "                config.append(n_parents_aux)\n",
    "                grouped_aggLDyn.at[tuple(config),'Dyn_Coherency'] = grouped_aggLDyn.at[tuple(config),'T_iter'] / grouped_aggLNDyn.at[np_aux,'T_iter']\n",
    "                value = grouped_aggLDyn.at[tuple(config),'T_stages'] / grouped_aggLNDyn.at[np_aux,'T_stages']\n",
    "                grouped_aggLDyn.at[tuple(config),'Dyn_Coherency_Stages'] = value.astype(object)\n",
    "                config.pop()\n",
    "                config.pop()\n",
    "\n",
    "if not ('Dyn_Coherency' in grouped_aggLDyn.columns):\n",
    "    for config in configurations_local_dynamic:\n",
    "        compute_dyn_coherency(config)\n",
    "else:\n",
    "    print(\"Dyn_Coherency already exists\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Malleability Coherence COMPUTATION\n",
    "test=dfM[(dfM.Asynch_Iters > 0) & (dfM.Spawn_Strategy == 1)]\n",
    "\n",
    "for index in range(len(test)):\n",
    "    time_malleability_aux = test[\"T_Malleability\"].values[index]\n",
    "    \n",
    "    total_asynch_iters = int(test[\"Asynch_Iters\"].values[index])\n",
    "    asynch_iters = test[\"T_iter\"].values[index][-total_asynch_iters:]\n",
    "    time_iters_aux = np.sum(asynch_iters)\n",
    "    \n",
    "    if time_malleability_aux < time_iters_aux:\n",
    "        \n",
    "        print(test.iloc[index])\n",
    "        print(asynch_iters)\n",
    "        print(time_iters_aux)\n",
    "        print(time_malleability_aux)\n",
    "        print(\"\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "out_grouped_G.to_excel(\"resultG.xlsx\") \n",
    "out_grouped_M.to_excel(\"resultM.xlsx\") \n",
    "#grouped_aggLAsynch.to_excel(\"AsynchIters.xlsx\")\n",
    "grouped_aggLDyn.to_excel(\"DynCoherence.xlsx\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
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       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>T_Malleability</th>\n",
       "      <th>T_Redistribution</th>\n",
       "      <th>T_spawn</th>\n",
       "      <th>T_spawn_real</th>\n",
       "      <th>T_SR</th>\n",
       "      <th>T_AR</th>\n",
       "      <th>Alpha</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ADR</th>\n",
       "      <th>Spawn_Method</th>\n",
       "      <th>Redistribution_Method</th>\n",
       "      <th>Redistribution_Strategy</th>\n",
       "      <th>NP</th>\n",
       "      <th>NC</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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      ],
      "text/plain": [
       "                                                                        T_Malleability  \\\n",
       "ADR   Spawn_Method Redistribution_Method Redistribution_Strategy NP NC                   \n",
       "0.0   0            0                     1                       40 20        6.248575   \n",
       "                   1                     1                       40 20        4.026059   \n",
       "      1            0                     1                       40 20        0.886124   \n",
       "                   1                     1                       40 20        0.904058   \n",
       "      2            0                     1                       40 20        3.957526   \n",
       "                   1                     1                       40 20        4.102049   \n",
       "100.0 0            0                     1                       40 20        4.079462   \n",
       "                   1                     1                       40 20        3.936010   \n",
       "      1            0                     1                       40 20        0.741423   \n",
       "                   1                     1                       40 20        0.786713   \n",
       "      2            0                     1                       40 20        3.938645   \n",
       "                   1                     1                       40 20        4.171449   \n",
       "\n",
       "                                                                        T_Redistribution  \\\n",
       "ADR   Spawn_Method Redistribution_Method Redistribution_Strategy NP NC                     \n",
       "0.0   0            0                     1                       40 20          3.622006   \n",
       "                   1                     1                       40 20          1.336013   \n",
       "      1            0                     1                       40 20          0.875293   \n",
       "                   1                     1                       40 20          0.878103   \n",
       "      2            0                     1                       40 20          1.369598   \n",
       "                   1                     1                       40 20          1.420760   \n",
       "100.0 0            0                     1                       40 20          1.428012   \n",
       "                   1                     1                       40 20          1.325984   \n",
       "      1            0                     1                       40 20          0.733503   \n",
       "                   1                     1                       40 20          0.785067   \n",
       "      2            0                     1                       40 20          1.359916   \n",
       "                   1                     1                       40 20          1.339885   \n",
       "\n",
       "                                                                         T_spawn  \\\n",
       "ADR   Spawn_Method Redistribution_Method Redistribution_Strategy NP NC             \n",
       "0.0   0            0                     1                       40 20  2.601346   \n",
       "                   1                     1                       40 20  2.578435   \n",
       "      1            0                     1                       40 20  0.005517   \n",
       "                   1                     1                       40 20  0.013576   \n",
       "      2            0                     1                       40 20  2.593108   \n",
       "                   1                     1                       40 20  2.683044   \n",
       "100.0 0            0                     1                       40 20  2.626145   \n",
       "                   1                     1                       40 20  2.566069   \n",
       "      1            0                     1                       40 20  0.001866   \n",
       "                   1                     1                       40 20  0.001818   \n",
       "      2            0                     1                       40 20  2.578962   \n",
       "                   1                     1                       40 20  2.880490   \n",
       "\n",
       "                                                                        T_spawn_real  \\\n",
       "ADR   Spawn_Method Redistribution_Method Redistribution_Strategy NP NC                 \n",
       "0.0   0            0                     1                       40 20           0.0   \n",
       "                   1                     1                       40 20           0.0   \n",
       "      1            0                     1                       40 20           0.0   \n",
       "                   1                     1                       40 20           0.0   \n",
       "      2            0                     1                       40 20           0.0   \n",
       "                   1                     1                       40 20           0.0   \n",
       "100.0 0            0                     1                       40 20           0.0   \n",
       "                   1                     1                       40 20           0.0   \n",
       "      1            0                     1                       40 20           0.0   \n",
       "                   1                     1                       40 20           0.0   \n",
       "      2            0                     1                       40 20           0.0   \n",
       "                   1                     1                       40 20           0.0   \n",
       "\n",
       "                                                                            T_SR  \\\n",
       "ADR   Spawn_Method Redistribution_Method Redistribution_Strategy NP NC             \n",
       "0.0   0            0                     1                       40 20  3.622006   \n",
       "                   1                     1                       40 20  1.336013   \n",
       "      1            0                     1                       40 20  0.875293   \n",
       "                   1                     1                       40 20  0.878103   \n",
       "      2            0                     1                       40 20  1.369598   \n",
       "                   1                     1                       40 20  1.420760   \n",
       "100.0 0            0                     1                       40 20  0.000000   \n",
       "                   1                     1                       40 20  0.000000   \n",
       "      1            0                     1                       40 20  0.000000   \n",
       "                   1                     1                       40 20  0.000000   \n",
       "      2            0                     1                       40 20  0.000000   \n",
       "                   1                     1                       40 20  0.000000   \n",
       "\n",
       "                                                                            T_AR  \\\n",
       "ADR   Spawn_Method Redistribution_Method Redistribution_Strategy NP NC             \n",
       "0.0   0            0                     1                       40 20  0.000000   \n",
       "                   1                     1                       40 20  0.000000   \n",
       "      1            0                     1                       40 20  0.000000   \n",
       "                   1                     1                       40 20  0.000000   \n",
       "      2            0                     1                       40 20  0.000000   \n",
       "                   1                     1                       40 20  0.000000   \n",
       "100.0 0            0                     1                       40 20  1.428012   \n",
       "                   1                     1                       40 20  1.325984   \n",
       "      1            0                     1                       40 20  0.733503   \n",
       "                   1                     1                       40 20  0.785067   \n",
       "      2            0                     1                       40 20  1.359916   \n",
       "                   1                     1                       40 20  1.339885   \n",
       "\n",
       "                                                                           Alpha  \n",
       "ADR   Spawn_Method Redistribution_Method Redistribution_Strategy NP NC            \n",
       "0.0   0            0                     1                       40 20       NaN  \n",
       "                   1                     1                       40 20       NaN  \n",
       "      1            0                     1                       40 20       NaN  \n",
       "                   1                     1                       40 20       NaN  \n",
       "      2            0                     1                       40 20       NaN  \n",
       "                   1                     1                       40 20       NaN  \n",
       "100.0 0            0                     1                       40 20  0.652863  \n",
       "                   1                     1                       40 20  0.977633  \n",
       "      1            0                     1                       40 20  0.836703  \n",
       "                   1                     1                       40 20  0.870202  \n",
       "      2            0                     1                       40 20  0.995229  \n",
       "                   1                     1                       40 20  1.016918  "
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "grouped_aggM.query('NP==40 and NC==20')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0\n",
      "[2.871732, 2.97493, 2.990134, 3.053695, 3.06336, 3.18278, 3.211649, 3.223778, 3.297137, 3.349738]\n",
      "1\n",
      "[1.168577, 1.319717, 1.345861, 1.393206, 1.399982, 1.463928, 1.512052, 1.513019, 1.544588, 2.096262]\n",
      "2\n",
      "[1.251623, 1.292697, 1.293382, 1.299329, 1.338683, 1.376693, 1.402257, 1.403168, 1.406421, 1.41668]\n",
      "3\n",
      "[1.960452, 1.967206, 1.991138, 1.995762, 1.995877, 2.036696, 2.066609, 2.104464, 2.111925, 2.113688]\n",
      "4\n",
      "[1.220226, 1.30762, 1.362405, 1.411654, 1.471944, 1.48196, 1.487014, 1.577096, 1.605507, 1.654253]\n",
      "5\n",
      "[1.308103, 1.315887, 1.31641, 1.338748, 1.345931, 1.405136, 1.492106, 1.5995, 1.731368, 1.947881]\n",
      "6\n",
      "[1.283664, 1.328322, 1.450976, 1.463982, 1.471652, 1.514454, 1.563664, 1.596013, 1.635619, 1.764415]\n",
      "7\n",
      "[1.241571, 1.24428, 1.254164, 1.279794, 1.314827, 1.348006, 1.399693, 1.413643, 1.493173, 1.68376]\n",
      "8\n",
      "[1.375232, 1.376518, 1.37785, 1.411021, 1.416741, 1.453341, 1.459021, 1.500713, 1.530591, 1.565909]\n",
      "9\n",
      "[1.424618, 1.447592, 1.454818, 1.459452, 1.493042, 1.496673, 1.572798, 1.576776, 1.612745, 1.652008]\n",
      "10\n",
      "[1.212965, 1.255806, 1.383367, 1.395766, 1.410026, 1.463665, 1.478321, 1.498239, 1.593558, 1.74493]\n",
      "11\n",
      "[1.191886, 1.215873, 1.225778, 1.235897, 1.24386, 1.383852, 1.384812, 1.475905, 1.676849, 2.007852]\n"
     ]
    }
   ],
   "source": [
    "dataLists = get_df_np_ns_data(dfM, 'T_Redistribution', configurations_simple, 2, 20)\n",
    "for index in range(len(dataLists)):\n",
    "    print(index)\n",
    "    dataLists[index].sort()\n",
    "    print(dataLists[index])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "def create_group_boundary(rms_boundary, np_aux, ns_aux):\n",
    "    tc_boundary = 0\n",
    "    boundaries = None\n",
    "    if rms_boundary != 0:\n",
    "        # El porcentaje de tc_boundary se tiene en cuenta para eliminar aquellos\n",
    "        # tiempos demasiado grandes en su malleability time respecto al más pequeño\n",
    "        boundaries = get_np_ns_data(\"T_Malleability\", grouped_aggM, configurations_simple, np_aux, ns_aux)\n",
    "        tc_boundary = min(boundaries)\n",
    "        tc_boundary = tc_boundary + tc_boundary*rms_boundary\n",
    "    return tc_boundary, boundaries\n",
    "\n",
    "# Aquellos grupos que tengán valores por encima del límite no se considerarán\n",
    "def check_groups_boundaries(dataLists, boundaries, tc_boundary):\n",
    "    for index in range(len(boundaries)):\n",
    "        if boundaries[index] > tc_boundary:\n",
    "            dataLists[index] = float('infinity')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_perc_differences(dataLists, boundaries, tc_boundary):\n",
    "    perc = 1.05\n",
    "    if boundaries != None: # Si se usa perspectiva de RMS, se desconsideran valores muy altos\n",
    "        check_groups_boundaries(dataLists, boundaries, tc_boundary) \n",
    "    indexes = np.argsort(dataLists)\n",
    "    \n",
    "    best = -1\n",
    "    bestMax = -1\n",
    "    otherBest=[]\n",
    "    for index in indexes: # Para cada metodo -- Empezando por el tiempo más bajo en media/mediana\n",
    "        if best == -1:\n",
    "            best = index\n",
    "            bestMax = dataLists[best] * perc\n",
    "        elif dataLists[index] <= bestMax: # Media/Medianas i < Media/Mediana best\n",
    "            otherBest.append(index)\n",
    "                \n",
    "    otherBest.insert(0,best)\n",
    "    return otherBest\n",
    "\n",
    "def get_stat_differences(dataLists, df_Res, boundaries, tc_boundary):\n",
    "    if boundaries != None: # Si se usa perspectiva de RMS, se desconsideran valores muy altos\n",
    "        check_groups_boundaries(dataLists, boundaries, tc_boundary) \n",
    "    indexes = np.argsort(dataLists)\n",
    "    \n",
    "    best = -1\n",
    "    otherBest=[]  \n",
    "    for index in indexes: # Para cada metodo -- Empezando por el tiempo más bajo en mediana\n",
    "        if dataLists[index] != float('infinity'):\n",
    "            if best == -1:\n",
    "                best = index\n",
    "            elif not df_Res.iat[best,index]: # df_Res == False indicates 'index' and 'best' have the same mean/median\n",
    "                otherBest.append(index)\n",
    "                \n",
    "    otherBest.insert(0,best)\n",
    "    return otherBest"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "grouped_np = [\"T_total\"]\n",
    "separated_np = [\"T_Malleability\", \"T_Redistribution\", \"T_spawn\", \"T_SR\", \"T_AR\", \"Alpha\", \"Omega\", \"count\"]\n",
    "\n",
    "def get_np_ns_data(tipo, data_aux, used_config, np_aux, ns_aux):\n",
    "    dataLists=[]\n",
    "    for config in used_config:\n",
    "        if tipo in grouped_np:\n",
    "            config.append((np_aux,ns_aux))\n",
    "        elif tipo in separated_np:\n",
    "            config.append(np_aux)\n",
    "            config.append(ns_aux)\n",
    "        \n",
    "        if tuple(config) in data_aux.index:\n",
    "            aux_value = data_aux.loc[tuple(config),tipo]\n",
    "            if isinstance(aux_value, pd.Series):\n",
    "                aux_value = aux_value.values[0]\n",
    "            if aux_value == 0: #Values of zero indicate it was not performed\n",
    "                aux_value = float('infinity')\n",
    "        else: # This configuration is not present in the dataset\n",
    "            aux_value = float('infinity')\n",
    "        dataLists.append(aux_value)\n",
    "        config.pop()\n",
    "        if tipo in separated_np:\n",
    "            config.pop()\n",
    "    return dataLists\n",
    "\n",
    "def get_config_data(tipo, data_aux, config):\n",
    "    dataLists=[]\n",
    "    procsLists=[]\n",
    "    for ns_aux in processes:\n",
    "        for np_aux in processes:\n",
    "            if np_aux != ns_aux:\n",
    "                \n",
    "                if tipo in grouped_np:\n",
    "                    config.append((np_aux,ns_aux))\n",
    "                elif tipo in separated_np:\n",
    "                    config.append(np_aux)\n",
    "                    config.append(ns_aux)\n",
    "                if tuple(config) in data_aux.index:\n",
    "                    procsLists.append((np_aux,ns_aux))\n",
    "                    aux_value = data_aux.loc[tuple(config),tipo]\n",
    "                    if isinstance(aux_value, pd.Series):\n",
    "                        aux_value = aux_value.values[0]\n",
    "                    if aux_value == 0: #Values of zero indicate it was not performed\n",
    "                        aux_value = float('infinity')\n",
    "                else: # This configuration is not present in the dataset\n",
    "                    aux_value = float('infinity')\n",
    "                dataLists.append(aux_value)\n",
    "                config.pop()\n",
    "                if tipo in separated_np:\n",
    "                    config.pop()\n",
    "    return dataLists, procsLists\n",
    "\n",
    "def get_df_np_ns_data(df_check, tipo, used_config, np_aux, ns_aux):\n",
    "    dataLists=[]\n",
    "    if tipo in grouped_np:\n",
    "        tuple_data = (np_aux, ns_aux)\n",
    "        df_npns_aux = df_check.loc[(df_check['Groups']==tuple_data)]\n",
    "    elif tipo in separated_np:\n",
    "        df_npns_aux = df_check.loc[(df_check['NP']==np_aux)]\n",
    "        df_npns_aux = df_npns_aux.loc[(df_npns_aux['NC']==ns_aux)]\n",
    "        \n",
    "    for config in used_config:\n",
    "        df_config_aux = df_npns_aux\n",
    "        for index in range(len(config)):\n",
    "            aux_name = parameters_names[index]\n",
    "            aux_value = config[index]\n",
    "            df_config_aux = df_config_aux.loc[(df_config_aux[aux_name] == aux_value)]\n",
    "                \n",
    "        aux_value = list(df_config_aux[tipo])\n",
    "        if len(aux_value) > 0:\n",
    "            dataLists.append(aux_value)\n",
    "    return dataLists\n",
    "\n",
    "def get_df_config_data(df_check, tipo, config):\n",
    "    dataLists=[]\n",
    "    df_config_aux = df_check\n",
    "    for index in range(len(config)):\n",
    "        aux_name = parameters_names[index]\n",
    "        aux_value = config[index]\n",
    "        df_config_aux = df_config_aux.loc[(df_config_aux[aux_name] == aux_value)]\n",
    "        \n",
    "    for np_aux in processes:\n",
    "        for ns_aux in processes:\n",
    "            if np_aux != ns_aux:\n",
    "                if tipo in grouped_np:\n",
    "                    tuple_data = (np_aux, ns_aux)\n",
    "                    df_aux = df_config_aux.loc[(df_config_aux['Groups']==tuple_data)]\n",
    "                elif tipo in separated_np:\n",
    "                    df_aux = df_config_aux.loc[(df_config_aux['NP']==np_aux)]\n",
    "                    df_aux = df_aux.loc[(df_aux['NC']==ns_aux)]\n",
    "                aux_value = list(df_aux[tipo])\n",
    "                if len(aux_value) > 0:\n",
    "                    dataLists.append(aux_value)\n",
    "    return dataLists\n",
    "                \n",
    "                "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "def check_normality(df_check, tipo, used_config, fast=True):\n",
    "    normality_array=[True] * (len(processes) * (len(processes)-1) * len(used_config))\n",
    "    normality = True\n",
    "    total=0\n",
    "    i=-1\n",
    "    #Comprobar para cada configuración si se sigue una distribución normal/gaussiana\n",
    "    for np_aux in processes:\n",
    "        for ns_aux in processes:\n",
    "            if np_aux != ns_aux:\n",
    "                i+=1\n",
    "                dataLists = get_df_np_ns_data(df_check, tipo, used_config, np_aux, ns_aux)\n",
    "                for data_aux in dataLists:\n",
    "                    st,p = stats.shapiro(data_aux) # Tendrían que ser al menos 20 datos y menos de 50\n",
    "                    if p < significance_value: # Reject H0\n",
    "                        if fast:\n",
    "                            return False\n",
    "                        normality_array[i] = False\n",
    "                        normality = False\n",
    "                        total+=1\n",
    "    print(\"Se sigue una distribución guassiana: \" + str(normality) + \"\\nUn total de: \" + str(total) + \" no siguen una gaussiana\")\n",
    "    print(normality_array)\n",
    "    return normality\n",
    "\n",
    "def check_homoscedasticity(df_check, tipo, used_config, fast=True):\n",
    "    homoscedasticity_array=[True] * (len(processes) * (len(processes)-1))\n",
    "    homoscedasticity = True\n",
    "    total=0\n",
    "    i=-1\n",
    "    #Comprobar para cada configuración es homoestatica\n",
    "    for np_aux in processes:\n",
    "        for ns_aux in processes:\n",
    "            if np_aux != ns_aux:\n",
    "                i+=1\n",
    "                dataLists = get_df_np_ns_data(df_check, tipo, used_config, np_aux, ns_aux)\n",
    "                st,p = stats.levene(*dataLists) # Tendrían que ser al menos 20 datos y menos de 50\n",
    "                if p < significance_value: # Reject H0\n",
    "                    if fast:\n",
    "                        return False\n",
    "                    homoscedasticity_array[i] = False\n",
    "                    homoscedasticity = False\n",
    "                    total+=1\n",
    "    print(\"Se sigue una distribución de datos Homocedastica: \" + str(homoscedasticity) + \"\\nUn total de: \" + str(total) + \" no siguen una homocedastica\")\n",
    "    print(homoscedasticity_array)\n",
    "    return homoscedasticity\n",
    "\n",
    "def compute_global_stat_difference(dataLists, parametric, np_aux, ns_aux):\n",
    "    if parametric:\n",
    "        st,p=stats.f_oneway(*dataLists)\n",
    "    else:\n",
    "        st,p=stats.kruskal(*dataLists)\n",
    "    if p > significance_value:\n",
    "        print(\"For NP \" + str(np_aux) + \" and \" + str(ns_aux) + \" is accepted H0\")\n",
    "        return True # Equal values || Accept H0\n",
    "    return False # Some groups are different || Reject H0\n",
    "\n",
    "def compute_global_posthoc(dataLists, parametric): #TODO Comprobar CDF de los grupos\n",
    "    data_stats=[]\n",
    "    data_stats2=[]\n",
    "    ini=0\n",
    "    end=len(dataLists)\n",
    "    if parametric:\n",
    "        df_aux = sp.posthoc_ttest(dataLists)\n",
    "        df_Res = df_aux.copy()\n",
    "        for i in range(ini,end):\n",
    "            data_stats.append(np.mean(dataLists[i]))\n",
    "            \n",
    "            for j in range(ini,end):\n",
    "                if df_Res.iat[i,j] < significance_value: # Different means || Reject H0\n",
    "                    df_Res.iat[i, j] = True\n",
    "                else:\n",
    "                    df_Res.iat[i, j] = False\n",
    "    else:\n",
    "        df_aux = sp.posthoc_conover(dataLists)\n",
    "        df_Res = df_aux.copy()\n",
    "        for i in range(ini,end):\n",
    "            data_stats.append(np.median(dataLists[i]))\n",
    "            #data_stats2.append(stats.iqr(dataLists[i],axis=0))\n",
    "            for j in range(ini,end):\n",
    "                if df_Res.iat[i,j] < significance_value: # Different medians || Reject H0\n",
    "                    df_Res.iat[i, j] = True # Not equal medians\n",
    "                else:\n",
    "                    df_Res.iat[i, j] = False # Equal medians\n",
    "    #print(df_Res)\n",
    "    #print(df_aux)\n",
    "    #print(data_stats)\n",
    "    #print(data_stats2)\n",
    "    #aux_value = min(data_stats)\n",
    "    #print(data_stats.index(aux_value))\n",
    "    return df_Res, data_stats"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "def results_with_perc(tipo, data_aux, used_config, rms_boundary=0):\n",
    "    results = []\n",
    "    for np_aux in processes:\n",
    "        for ns_aux in processes:\n",
    "            if np_aux != ns_aux:\n",
    "                tc_boundary, boundaries = create_group_boundary(rms_boundary, np_aux, ns_aux)\n",
    "                \n",
    "                #Get all values for particular config with these number of processes\n",
    "                dataLists = get_np_ns_data(tipo, data_aux, used_config, np_aux, ns_aux)\n",
    "\n",
    "                aux_data = get_perc_differences(dataLists, boundaries, tc_boundary)\n",
    "                results.append(aux_data)\n",
    "    return results\n",
    "\n",
    "def results_with_stats(tipo, df_check, used_config, rms_boundary=0):\n",
    "    results = []\n",
    "    use_parametric = check_normality(df_check, tipo, used_config)\n",
    "    if use_parametric:\n",
    "        use_parametric = check_homoscedasticity(df_check, tipo, used_config)\n",
    "    print(\"Se usan tests parametricos: \"+str(use_parametric))\n",
    "    for np_aux in processes:\n",
    "        for ns_aux in processes:\n",
    "            if np_aux != ns_aux:\n",
    "                tc_boundary, boundaries = create_group_boundary(rms_boundary, np_aux, ns_aux)\n",
    "                \n",
    "                #Get all values for particular config with these number of processes\n",
    "                dataLists = get_df_np_ns_data(df_check, tipo, used_config, np_aux, ns_aux)\n",
    "                equal_set = compute_global_stat_difference(dataLists, use_parametric, np_aux, ns_aux)\n",
    "                if equal_set:\n",
    "                    aux_data = list(range(len(used_config))) # All data is equal\n",
    "                else:\n",
    "                    res_aux, times_aux = compute_global_posthoc(dataLists, use_parametric)\n",
    "                    aux_data = get_stat_differences(times_aux, res_aux, boundaries, tc_boundary)\n",
    "                \n",
    "                results.append(aux_data)\n",
    "    \n",
    "    return results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Se usan tests parametricos: False\n",
      "[[11, 7, 2, 5, 1, 8, 10, 4], [10, 2, 9, 8, 5], [9, 8, 2], [9, 8], [8, 9], [9, 8, 2], [9, 2, 3], [3, 9], [3, 9], [9, 3], [9, 8], [8, 9], [9, 3, 2], [9, 8, 3, 2], [9, 3, 8, 2], [9, 8], [9], [9, 8, 2], [9, 8], [8, 2, 3, 9], [9, 8], [9], [9, 8, 3], [9, 8], [9, 8], [9, 8, 2], [9, 2], [9, 8, 3], [9, 8, 2], [8, 9, 2, 3]]\n",
      "30\n"
     ]
    }
   ],
   "source": [
    "checked_type='T_Redistribution'\n",
    "use_perc = False\n",
    "select_first_winner = False\n",
    "prefer_first_winner = False\n",
    "rms_boundary=0 # Poner a 0 para perspectiva de app. Valor >0 y <1 para perspectiva de RMS\n",
    "if checked_type=='T_total':\n",
    "    tipo=\"T_total\"\n",
    "    if use_perc:\n",
    "        data_aux = grouped_aggG\n",
    "    else:\n",
    "        data_aux = dfG\n",
    "    used_config = configurations\n",
    "elif checked_type=='T_Malleability' or checked_type=='T_spawn' or checked_type=='T_SR' or checked_type=='T_AR' or checked_type=='T_Redistribution':\n",
    "    tipo=checked_type\n",
    "    \n",
    "    if use_perc:\n",
    "        data_aux = grouped_aggM\n",
    "    else:\n",
    "        data_aux = dfM\n",
    "        if tipo == 'T_AR':\n",
    "            data_aux = data_aux[(data_aux.ADR > 0)]\n",
    "        elif tipo == 'T_SR':\n",
    "            data_aux = data_aux[(data_aux.ADR == 0)]\n",
    "        \n",
    "    used_config = configurations_simple\n",
    "    \n",
    "if use_perc:\n",
    "    results = results_with_perc(tipo, data_aux, used_config, rms_boundary)\n",
    "else:\n",
    "    results = results_with_stats(tipo, data_aux, used_config, rms_boundary)\n",
    "    \n",
    "if not use_perc and tipo == 'T_AR': #FIXME!!!! No tiene en cuenta total de configuraciones sincronos\n",
    "    for res_index in range(len(results)):\n",
    "        for inner_index in range(len(results[res_index])):\n",
    "            results[res_index][inner_index]+=4\n",
    "\n",
    "#Results is a 2 dimensional array. First dimension indicates lists of winners of a particulal number of processes (NP->NC). \n",
    "#Second dimension is an ordered preference of indexes in the array configurations.\n",
    "print(results)\n",
    "print(len(results))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[ 1  2  3  4  5  7  8  9 10 11]\n",
      "[ 1 14 11  1  2  1 22 29  2  1]\n",
      "[[-1  8  9  9  9  9]\n",
      " [ 9 -1  9  9  9  9]\n",
      " [ 9  9 -1  9  9  9]\n",
      " [ 9  9  9 -1  9  9]\n",
      " [ 9  9  9  9 -1  9]\n",
      " [ 9  9  9  9  9 12]]\n"
     ]
    }
   ],
   "source": [
    "#Lista de indices de mayor a menor según el total de ocurrencias\n",
    "aux_array = []\n",
    "for data in results:\n",
    "    aux_array+=data\n",
    "aux_keys, aux_counts = np.unique(aux_array, return_counts=True)\n",
    "aux_ordered_index=list(reversed(np.argsort(aux_counts)))\n",
    "\n",
    "#Lista de indices de mayor a menor según el total de ocurrencias del primero de cada grupo\n",
    "aux_array = [0] * len(results)\n",
    "for index in range(len(results)):\n",
    "    aux_array[index] = results[index][0]\n",
    "aux_keys_best, aux_counts_best = np.unique(aux_array, return_counts = True)\n",
    "aux_ordered_best_index=list(reversed(np.argsort(aux_counts_best)))\n",
    "\n",
    "def heatmap_get_best(index, ordered_array, keys_array, counts_array, prefer_winner=False):\n",
    "    valid_candidates_indexes = []\n",
    "    prev_counts = -1\n",
    "    for tested_index in ordered_array:\n",
    "        if keys_array[tested_index] in results[index]:\n",
    "            if counts_array[tested_index] >= prev_counts:\n",
    "                prev_counts = counts_array[tested_index]\n",
    "                valid_candidates_indexes.append(tested_index)\n",
    "            else:\n",
    "                break\n",
    "                \n",
    "    if prefer_winner: # Si esta activo, en caso de empate en ocurrencias se selecciona el menor tiempo\n",
    "        for tested_index in results[index]:\n",
    "            if tested_index in valid_candidates_indexes:\n",
    "                return tested_index\n",
    "    return min(valid_candidates_indexes) # En caso de empate se devuelve el que tiene menor valor (Suele ser la config más simple)\n",
    "\n",
    "i=0\n",
    "j=0\n",
    "used_aux=0\n",
    "heatmap=np.zeros((len(processes),len(processes))).astype(int)\n",
    "\n",
    "if select_first_winner:\n",
    "    for i in range(len(processes)):\n",
    "        for j in range(len(processes)):\n",
    "            if i==j:\n",
    "                heatmap[i][j]=-1\n",
    "                used_aux+=1\n",
    "            else:\n",
    "                results_index = i*len(processes) + j - used_aux\n",
    "                heatmap[i][j] = results[results_index][0]\n",
    "else:\n",
    "    for i in range(len(processes)):\n",
    "        for j in range(len(processes)):\n",
    "            if i==j:\n",
    "                heatmap[i][j]=-1\n",
    "                used_aux+=1\n",
    "            else:\n",
    "                results_index = i*len(processes) + j - used_aux\n",
    "                index = heatmap_get_best(results_index, aux_ordered_index, aux_keys, aux_counts, prefer_first_winner)\n",
    "                heatmap[i][j]=aux_keys[index]\n",
    "                #index = heatmap_get_best(results_index, aux_ordered_best_index, aux_keys_best, aux_counts_best, prefer_first_winner)\n",
    "                #heatmap[i][j]=aux_keys_best[index]\n",
    "heatmap[-1][-1]=len(used_config)\n",
    "print(aux_keys)\n",
    "print(aux_counts)\n",
    "print(heatmap)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Adapta results a una cadena asegurando que cada cadena no se sale de su celda\n",
    "def get_heatmap_multiple_strings(results): #FIXME Deprecated\n",
    "    results_str = []\n",
    "    max_counts = 1\n",
    "    max_per_line = 3\n",
    "    for i in range(len(results)):\n",
    "        results_str.append(list())\n",
    "        count = len(results[i])\n",
    "        results_aux = results[i]\n",
    "        if count > max_counts:\n",
    "            count = max_counts\n",
    "            results_aux = results[i][:count]\n",
    "        \n",
    "        remainder = count%max_per_line\n",
    "        if count <= max_per_line:\n",
    "            aux_str = str(results_aux).replace('[','').replace(']','')\n",
    "            results_str[i].append(aux_str)\n",
    "        else:\n",
    "            if remainder == 0:\n",
    "                index = count//2\n",
    "            else:\n",
    "                index = count - ((remainder-1)*max_per_line + 1)\n",
    "            aux_str = str(results_aux[:index]).replace('[','').replace(']','')\n",
    "            results_str[i].append(aux_str)\n",
    "            aux_str = str(results_aux[index:]).replace('[','').replace(']','')\n",
    "            results_str[i].append(aux_str)\n",
    "    return results_str\n",
    "\n",
    "def get_heatmap_strings(heatmap):\n",
    "    results_str = []\n",
    "    for i in range(len(processes)):\n",
    "        for j in range(len(processes)):\n",
    "            if i!=j:\n",
    "                results_str.append(list())\n",
    "                results_str[-1].append(heatmap[i][j])\n",
    "    return results_str"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_4190/3398103933.py:53: UserWarning: FixedFormatter should only be used together with FixedLocator\n",
      "  ax.set_xticklabels(['']+processes, fontsize=36)\n",
      "/tmp/ipykernel_4190/3398103933.py:54: UserWarning: FixedFormatter should only be used together with FixedLocator\n",
      "  ax.set_yticklabels(['']+processes, fontsize=36)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Filename: Heatmap_T_Redistribution.png\n"
     ]
    },
    {
     "data": {
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      "text/plain": [
       "<Figure size 2000x1200 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Crea un heatmap teniendo en cuenta los colores anteriores\n",
    "f=plt.figure(figsize=(24, 12))\n",
    "ax=f.add_subplot(111)\n",
    "\n",
    "myColors = (colors.to_rgba(\"white\"), \n",
    "    colors.to_rgba(\"green\"), #BAllS\n",
    "    colors.to_rgba(\"darkgreen\"), #BP2PS\n",
    "    colors.to_rgba(\"red\"), #MAllS\n",
    "    colors.to_rgba(\"darkred\"),  #MP2PS\n",
    "    colors.to_rgba(\"blue\"),  #BIntraAllS\n",
    "    colors.to_rgba(\"royalblue\"), #BIntraP2PS\n",
    "    colors.to_rgba(\"mediumseagreen\"), #BAllA\n",
    "    #colors.to_rgba(\"seagreen\"),  #BAllT\n",
    "    colors.to_rgba(\"palegreen\"), #BP2PA\n",
    "    #colors.to_rgba(\"springgreen\"), #BP2PT\n",
    "    colors.to_rgba(\"indianred\"), #MAllA \n",
    "    #colors.to_rgba(\"firebrick\"), #MAllT\n",
    "    colors.to_rgba(\"darkgoldenrod\"), #MP2PA\n",
    "    #colors.to_rgba(\"saddlebrown\"), #MP2PT\n",
    "    colors.to_rgba(\"mediumblue\"),  #BIntraAllA\n",
    "    colors.to_rgba(\"mediumslateblue\"), #BIntraP2PA\n",
    "    colors.to_rgba(\"white\"))\n",
    "cmap = LinearSegmentedColormap.from_list('Custom', myColors, len(myColors))\n",
    "\n",
    "im = ax.imshow(heatmap,cmap=cmap,interpolation='nearest')\n",
    "\n",
    "# Loop over data dimensions and create text annotations.\n",
    "used_aux=0\n",
    "results_str = get_heatmap_strings(heatmap)\n",
    "for i in range(len(processes)):\n",
    "    for j in range(len(processes)):\n",
    "        if i!=j:\n",
    "            aux_color=\"white\"\n",
    "            if 0 <= heatmap[i, j] <= 1 or 4 <= heatmap[i, j] <= 7: # El 1 puede necesitar texto en negro\n",
    "                aux_color=\"black\"\n",
    "            results_index = i*len(processes) +j-used_aux\n",
    "            if len(results_str[results_index]) == 1:\n",
    "                text = results_str[results_index][0]\n",
    "                ax.text(j, i, text, ha=\"center\", va=\"center\", color=aux_color, fontsize=36)\n",
    "            else:\n",
    "                add_aux = 0.33\n",
    "                for line in range(len(results_str[results_index])):\n",
    "                    i_range = i - 0.5 + add_aux\n",
    "                    ax.text(j, i_range, results_str[results_index][line],\n",
    "                            ha=\"center\", va=\"center\", color=aux_color, fontsize=36)\n",
    "                    add_aux+=0.33\n",
    "        else:\n",
    "            used_aux+=1\n",
    "\n",
    "ax.set_ylabel(\"NP\", fontsize=36)\n",
    "ax.set_xlabel(\"NH\", fontsize=36)\n",
    "\n",
    "ax.set_xticklabels(['']+processes, fontsize=36)\n",
    "ax.set_yticklabels(['']+processes, fontsize=36)\n",
    "\n",
    "\n",
    "labelsMethods_aux = ['Baseline - COLS (0)', 'Baseline - P2PS (1)',\n",
    "                    'Merge - COLS (2)','Merge - P2PS (3)',\n",
    "                    'Baseline - COLA (4)', 'Baseline - COLT (5)','Baseline - P2PA (6)','Baseline - P2PT (7)',\n",
    "                    'Merge - COLA (8)','Merge - COLT (9)','Merge - P2PA (10)','Merge - P2PT (11)']\n",
    "labelsMethods_aux = ['Baseline - COLS (0)', 'Baseline - P2PS (1)',\n",
    "                    'Merge - COLS (2)','Merge - P2PS (3)',\n",
    "                    'BaselineIntra - COLS (4)', 'BaselineIntra - P2PS (5)',\n",
    "                    'Baseline - COLA (6)', 'Baseline - P2PA (7)',\n",
    "                    'Merge - COLA (8)','Merge - P2PA (9)',\n",
    "                    'BaselineIntra - COLA (10)', 'BaselineIntra - P2PA (11)']\n",
    "\n",
    "colorbar=f.colorbar(im, ax=ax)\n",
    "tick_bar = []\n",
    "for i in range(len(used_config)):\n",
    "    tick_bar.append(0.37 + i*0.92) #Config de 12 valores\n",
    "    #tick_bar.append(0.35 + i*0.89) #Config de 8 valores\n",
    "colorbar.set_ticks(tick_bar) \n",
    "colorbar.set_ticklabels(labelsMethods_aux)\n",
    "colorbar.ax.tick_params(labelsize=32)\n",
    "#\n",
    "\n",
    "f.tight_layout()\n",
    "print(\"Filename: Heatmap_\"+tipo+\".png\")\n",
    "f.savefig(\"Images/Heatmap_\"+tipo+\".png\", format=\"png\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[ 1  2  3  4  5  7  8  9 10 11]\n",
      "[ 3 11 22  5  5  5 21 27  1  3]\n",
      "[ 2  3  4  5  8  9 10 11]\n",
      "[ 5 13  1  1  2  6  1  1]\n"
     ]
    }
   ],
   "source": [
    "aux_array = [] #Counts all\n",
    "for data in results:\n",
    "    aux_array+=data\n",
    "aux_results, aux_counts = np.unique(aux_array, return_counts=True)\n",
    "print(aux_results)\n",
    "print(aux_counts)\n",
    "\n",
    "aux_array = [0] * len(results) # Counts ganador celda\n",
    "for index in range(len(results)):\n",
    "    aux_array[index] = results[index][0]\n",
    "aux_results, aux_counts = np.unique(aux_array, return_counts = True)\n",
    "print(aux_results)\n",
    "print(aux_counts)\n"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "El siguiente código asume que para cada número de procesos padre/hijo existen valores en todas las configuraciones que se van a probar"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "def normalize_arrays(arrays, norm_array):\n",
    "    new_arrays = arrays.copy()\n",
    "    for index in range(len(new_arrays)):\n",
    "        new_arrays[index] = np.divide(norm_array, new_arrays[index])\n",
    "    return new_arrays\n",
    "\n",
    "def create_labels_lineplot(used_direction, user_condition=lambda a, b: True):\n",
    "    labels_aux = []\n",
    "    if used_direction == 's':\n",
    "        for ns_aux in processes:\n",
    "            for np_aux in processes:\n",
    "                if used_direction=='s' and np_aux > ns_aux and np_aux != ns_aux and user_condition(np_aux, ns_aux):\n",
    "                    new_label = \"(\" + str(np_aux) + \",\" + str(ns_aux) + \")\"\n",
    "                    labels_aux.append(new_label)\n",
    "    else:\n",
    "        for np_aux in processes:\n",
    "            for ns_aux in processes:\n",
    "                if ((used_direction=='e' and np_aux < ns_aux) or used_direction=='a') and np_aux != ns_aux and user_condition(np_aux, ns_aux):\n",
    "                    new_label = \"(\" + str(np_aux) + \",\" + str(ns_aux) + \")\"\n",
    "                    labels_aux.append(new_label)\n",
    "    return labels_aux\n",
    "\n",
    "def reorder_data(plot_data, actual_order, expected_order):\n",
    "    ordered_indexes = []\n",
    "    len_order = len(actual_order)\n",
    "    for index in range(len_order):\n",
    "        actual_order[index] = str(actual_order[index]).replace(\" \", \"\")\n",
    "    for index in range(len_order):\n",
    "        ordered_indexes.append(actual_order.index(expected_order[index]))\n",
    "\n",
    "    for index in range(len(plot_data)):\n",
    "        old_array = plot_data[index]\n",
    "        new_array = []\n",
    "        for i in ordered_indexes:\n",
    "            new_array.append(old_array[i])\n",
    "        plot_data[index] = new_array\n",
    "\n",
    "    return plot_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[0.6319885595853629, 0.6647206731084309, 0.5654198150315378, 0.5192361064164298, 0.4973842642021358, 0.6069666573265923, 0.6131397828204103, 0.6640041760203946, 0.661194251289581, 0.592526172813267, 0.594908682818867, 0.6287463792475801, 0.46046893648274684, 0.547386113571696, 0.3727344416117256]\n",
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      "text/plain": [
       "<Figure size 2200x1400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "used_direction='e'\n",
    "test_parameter='alpha' #Valores son \"alpha\" o \"omega\"\n",
    "\n",
    "if test_parameter == 'alpha':\n",
    "    name_fig=\"Alpha_\"\n",
    "    real_parameter='Alpha'\n",
    "    name_legend = \"Valores de α\"\n",
    "    normalize = True\n",
    "    allow_all = False\n",
    "    used_config = configurations_simple\n",
    "    data_aux = grouped_aggM[grouped_aggM[real_parameter] > 0]\n",
    "elif test_parameter == 'T_Malleability':\n",
    "    name_fig=\"Malleability_\"\n",
    "    real_parameter='T_Malleability'\n",
    "    name_legend = \"Time(s)\"\n",
    "    normalize = False\n",
    "    allow_all = True\n",
    "    used_config = configurations_simple\n",
    "    data_aux = grouped_aggM\n",
    "elif test_parameter == 'T_Redistribution':\n",
    "    name_fig=\"Redistribution_\"\n",
    "    real_parameter='T_Redistribution'\n",
    "    name_legend = \"Tiempo(s)\"\n",
    "    normalize = False\n",
    "    allow_all = True\n",
    "    used_config = configurations_simple\n",
    "    data_aux = grouped_aggM\n",
    "elif test_parameter == 'omega':\n",
    "    name_fig=\"Omega_\"\n",
    "    real_parameter='Omega'\n",
    "    name_legend = \"Values of ω\"\n",
    "    normalize = True\n",
    "    allow_all = False\n",
    "    used_config = configurations\n",
    "    data_aux = grouped_aggLAsynch[grouped_aggLAsynch[real_parameter] > 0]\n",
    "elif test_parameter == 'iters_count':\n",
    "    name_fig=\"Iters_\"\n",
    "    real_parameter='count'\n",
    "    name_legend = \"Asynchronous iterations\"\n",
    "    normalize = False\n",
    "    allow_all = True\n",
    "    used_config = configurations\n",
    "    data_aux = grouped_aggLAsynch[grouped_aggLAsynch[real_parameter] > 0]\n",
    "    \n",
    "if used_direction=='s':\n",
    "    data_aux=data_aux.query('NP > NC')\n",
    "    name_fig= name_fig+\"Shrink\"\n",
    "elif used_direction=='e':\n",
    "    data_aux=data_aux.query('NP < NC')\n",
    "    name_fig= name_fig+\"Expand\"\n",
    "elif used_direction=='a':\n",
    "    name_fig= name_fig+\"All\"   \n",
    "#data_aux=data_aux.query('NP == 160 or NC == 160')\n",
    "\n",
    "plot_data = []\n",
    "for config in used_config:\n",
    "    if config[0] > 0 or allow_all:\n",
    "        dataLists,procsLists = get_config_data(real_parameter, data_aux, config)\n",
    "        dataLists = list(filter(lambda x: x != float('infinity'), dataLists))\n",
    "        plot_data.append(dataLists)\n",
    "    \n",
    "#labels_aux = create_labels_lineplot(used_direction, lambda a, b: a == 160 or b == 160)\n",
    "labels_aux = create_labels_lineplot(used_direction)\n",
    "plot_data = reorder_data(plot_data, procsLists, labels_aux)\n",
    "    \n",
    "labelsMethods_aux = ['Baseline - COL', 'Baseline - P2P',\n",
    "                    'Merge - COL','Merge - P2P',\n",
    "                    'BaselineIntra - COL', 'BaselineIntra - P2P']\n",
    "#labelsMethods_aux = ['Baseline - COLS', 'Baseline - P2PS',\n",
    "#                    'Merge - COLS','Merge - P2PS',\n",
    "#                    'BaselineIntra - COLS', 'BaselineIntra - P2PS',\n",
    "#                    'Baseline - COLA', 'Baseline - P2PA',\n",
    "#                    'Merge - COLA','Merge - P2PA',\n",
    "#                    'BaselineIntra - COLA', 'BaselineIntra - P2PA']\n",
    "colors_m = ['green','darkgreen','red','darkred', 'blue', 'royalblue', 'mediumseagreen','palegreen','indianred','darkgoldenrod','mediumblue', 'midnightblue']\n",
    "\n",
    "f=plt.figure(figsize=(22, 14))\n",
    "ax=f.add_subplot(111)\n",
    "x = np.arange(len(labels_aux))\n",
    "for index in range(len(plot_data)):\n",
    "    array_aux = plot_data[index]\n",
    "    plot_index = index\n",
    "    if real_parameter == 'Alpha' or real_parameter == 'Omega' or real_parameter == 'count': #FIXME This line is a lie...\n",
    "        plot_index = 6 + index #FIXME This line is a lie...\n",
    "    print(array_aux)\n",
    "    ax.plot(x, array_aux, color=colors_m[plot_index%len(colors_m)], linestyle=linestyle_m[plot_index%len(linestyle_m)], \\\n",
    "        marker=markers_m[plot_index%len(markers_m)], markersize=18, label=labelsMethods_aux[index])\n",
    "\n",
    "ax.set_xlabel(\"(NP,NH)\", fontsize=36)\n",
    "ax.set_ylabel(name_legend, fontsize=36)\n",
    "if normalize:\n",
    "    ax.axhline(y=1, color='black', linestyle='--')\n",
    "plt.xticks(x, labels_aux,rotation=90)\n",
    "ax.tick_params(axis='both', which='major', labelsize=36)\n",
    "ax.tick_params(axis='both', which='minor', labelsize=36)\n",
    "plt.legend(loc='best', fontsize=30,ncol=2,framealpha=0.8)\n",
    "        \n",
    "f.tight_layout()\n",
    "f.savefig(\"Images/LinePlot_\"+name_fig+\".png\", format=\"png\")"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "Gráfica de lineas para generar tiempos del grupo G."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1584x1008 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "used_direction='s'\n",
    "test_parameter='T_total' #Valores son \"alpha\" o \"omega\"\n",
    "intranode=False\n",
    "\n",
    "if test_parameter == 'T_total':\n",
    "    name_fig=\"Ttotal\"\n",
    "    real_parameter='T_total'\n",
    "    name_legend = \"Time(s)\"\n",
    "    used_config = configurations\n",
    "    data_aux = grouped_aggG\n",
    "    #data_aux = data_aux[data_aux.index.isin(df1.index)]\n",
    "    \n",
    "if used_direction=='s':\n",
    "    data_aux_cmp=grouped_aggM.reset_index().query('NP > NC')\n",
    "    name_fig= name_fig+\"Shrink\"\n",
    "elif used_direction=='e':\n",
    "    data_aux_cmp=grouped_aggM.reset_index().query('NP < NC')\n",
    "    name_fig= name_fig+\"Expand\"\n",
    "elif used_direction=='a':\n",
    "    data_aux_cmp=grouped_aggM.reset_index()\n",
    "    name_fig= name_fig+\"All\"\n",
    "    \n",
    "if intranode:\n",
    "    data_aux_cmp = data_aux_cmp.query('NP <= 20 and NC <= 20')\n",
    "else:\n",
    "    #data_aux_cmp = data_aux_cmp.query('NP > 20 and NC > 20')\n",
    "    data_aux_cmp = data_aux_cmp.query('NP == 160 or NC == 160')\n",
    "\n",
    "if used_direction!='a' or True:\n",
    "    pruebaG = data_aux.reset_index()\n",
    "    pruebaG = pruebaG.loc[pruebaG.index.intersection(data_aux_cmp.index)]\n",
    "    data_aux = data_aux[(data_aux.T_total.isin(pruebaG.T_total))]\n",
    "\n",
    "plot_data = []\n",
    "for config in used_config:\n",
    "    #if config[0] == 0:\n",
    "    dataLists,procsLists = get_config_data(real_parameter, data_aux, config)\n",
    "    dataLists = list(filter(lambda x: x != float('infinity'), dataLists))\n",
    "    plot_data.append(dataLists)\n",
    "\n",
    "plot_data_normalized = normalize_arrays(plot_data[1:], plot_data[0])\n",
    "name_legend=\"SpeedUp over Baseline\"\n",
    "\n",
    "labels_aux = create_labels_lineplot(used_direction, lambda a, b: a == 160 or b == 160)\n",
    "#labels_aux = create_labels_lineplot(used_direction)\n",
    "#labelsMethods_aux = ['Baseline - All', 'Baseline - P2P','Merge - All','Merge - P2P']\n",
    "labelsMethods_aux = ['Baseline - AllS', 'Baseline - P2PS',\n",
    "                    'Merge - AllS','Merge - P2PS',\n",
    "                    'Baseline - AllA', 'Baseline - AllT','Baseline - P2PA','Baseline - P2PT',\n",
    "                    'Merge - AllA','Merge - AllT','Merge - P2PA','Merge - P2PT']\n",
    "\n",
    "f=plt.figure(figsize=(22, 14))\n",
    "ax=f.add_subplot(111)\n",
    "ax2 = ax.twinx()\n",
    "x = np.arange(len(labels_aux))\n",
    "for index in range(len(plot_data_normalized)):\n",
    "    array_aux = plot_data_normalized[index]\n",
    "    index= index+1\n",
    "    ax.plot(x, array_aux, color=colors_m[index%len(colors_m)], linestyle=linestyle_m[index%len(linestyle_m)], \\\n",
    "        marker=markers_m[index%len(markers_m)], markersize=18, label=labelsMethods_aux[index])\n",
    "ax2.plot(x, plot_data[0], color='black', linestyle=linestyle_m[0], \\\n",
    "        marker=markers_m[0], markersize=18, label=labelsMethods_aux[0])\n",
    "ax.axhline(y=1, color='black', linestyle='--')\n",
    "\n",
    "ax.set_xlabel(\"(NP,NC)\", fontsize=36)\n",
    "ax.set_ylabel(name_legend, fontsize=36)\n",
    "ax.tick_params(axis='both', which='both', labelsize=36)\n",
    "ax.set_xticks(x)\n",
    "ax.set_xticklabels(labels_aux, rotation=90)\n",
    "#ax.legend(loc='best', fontsize=30,ncol=2,framealpha=0.8)\n",
    "\n",
    "ax2.set_ylabel('Baseline Time(s)', fontsize=36)\n",
    "ax2.tick_params(axis='y', which='both', labelsize=36)\n",
    "#ax2.legend(loc='best', fontsize=30,ncol=2,framealpha=0.8)\n",
    "\n",
    "f.legend(bbox_to_anchor=(0.5, 0.98), fontsize=26,ncol=2,framealpha=0.8)\n",
    "\n",
    "        \n",
    "f.tight_layout()\n",
    "f.savefig(\"Images/LinePlot_\"+name_fig+\".png\", format=\"png\")"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "El siguiente generá una imagen en 3d de T_total para cada una de las diferentes configuraciones."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "def generate_3d_image(config, name):\n",
    "    fig, ax = plt.subplots(1, 1, subplot_kw={'projection': '3d'}, figsize=(15, 15))\n",
    "\n",
    "    Z = [None] * len(processes)\n",
    "    X, Y = np.meshgrid(processes, processes)\n",
    "    for i in range(len(processes)):\n",
    "        np_aux = processes[i]\n",
    "        Z[i] = [0] * len(processes)\n",
    "        Z[i][i] = grouped_aggLSynch.loc[np_aux, 'T_iter'] * 1000\n",
    "        for j in range(len(processes)):\n",
    "            if i!=j:\n",
    "                ns_aux = processes[j]\n",
    "                config.append((np_aux,ns_aux))\n",
    "                aux = grouped_aggG.loc[tuple(config),'T_total']\n",
    "                config.pop()\n",
    "            \n",
    "                Z[i][j] = aux.values[0]\n",
    "                #Z[i][j] = Z[i][j] / Z[i][i]\n",
    "        #Z[i][i] = 1\n",
    "\n",
    "    Z = np.array(Z)\n",
    "\n",
    "    ax.plot_surface(X, Y, Z, rstride=1, cstride=1,\n",
    "                cmap='viridis', edgecolor='none')\n",
    "    ax.view_init(15, 25)\n",
    "    ax.set_xlabel(\"NC\", fontsize=16)\n",
    "    ax.set_ylabel(\"NP\", fontsize=16)\n",
    "    ax.set_zlabel(\"Normalized time\", fontsize=16)\n",
    "    ax.set_title(name, fontsize=10)\n",
    "    plt.show()\n",
    "    \n",
    "for index in range(len(configurations)):\n",
    "    used_config = configurations[index]\n",
    "    generate_3d_image(used_config,str(index))"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "El siguiente código es computar la coherencia de T_malleability respecto a los tiempos internos de maleabilidad (Coherency1)\n",
    "y por otro lado de T_malleability respecto a iteraciones asíncronas más los pasos síncronos."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "test=dfM[(dfM.Asynch_Iters > 0)]\n",
    "\n",
    "# El primer Coherency tendrá sentido cuando se recoga T_Malleability. Mas seguro con barriers en Malleability\n",
    "test[\"Resize_Coherency\"] = test[\"T_Malleability\"] >= (test[\"T_spawn\"] + test[\"T_SR\"] + test[\"T_AR\"])\n",
    "# El segundo Coherency tendrá sentido cuando se recoga T_Malleability. Mas seguro al usar Rigid para iteraciones\n",
    "test[\"Resize_Coherency2\"] = test[\"T_Malleability\"] >= 0\n",
    "\n",
    "for index in range(len(test)):\n",
    "    time_malleability_aux = test[\"T_Malleability\"].values[index]\n",
    "    time_synch_aux = test[\"T_SR\"].values[index]\n",
    "    time_spawn_aux = test[\"T_spawn\"].values[index]\n",
    "    is_asynch_spawn = (test[\"Spawn_Strategy\"].values[index] % 2 == 0)\n",
    "    \n",
    "    total_asynch_iters = int(test[\"Asynch_Iters\"].values[index])\n",
    "    asynch_iters = test[\"T_iter\"].values[index][-total_asynch_iters:]\n",
    "    time_iters_aux = np.sum(asynch_iters[:])\n",
    "    \n",
    "    sum_times = time_synch_aux + is_asynch_spawn * time_spawn_aux + time_iters_aux\n",
    "    \n",
    "    if time_malleability_aux < sum_times:\n",
    "        real_index = test.index.values[index]\n",
    "        test.at[real_index, \"Resize_Coherency2\"] = False\n",
    "test[(test.Resize_Coherency == False)]"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "El siguiente código es para utilizar Dask. Una versión que paraleliza una serie de tareas de Pandas.\n",
    "Tras llamar a compute se realizan todas las tareas que se han pedido."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import dask.dataframe as dd\n",
    "ddf = dd.from_pandas(dfL[(dfL.Asynch_Iters == False)], npartitions=10)\n",
    "group = ddf.groupby('NP')['T_iter']\n",
    "grouped_aggLSynch = group.agg(['mean'])\n",
    "grouped_aggLSynch = grouped_aggLSynch.rename(columns={'mean':'T_iter'}) \n",
    "grouped_aggLSynch = grouped_aggLSynch.compute()"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "Las siguientes dos celdas de código son para comprobar los Empirical Comulative distribution functions(ecdf).\n",
    "Si dos ecdf crean una intersección el test de Conover-Iman no es fiable.\n",
    "#TODO No esta terminado. Falta obtener cual ha sido el metodo ganador antes de llamar a \"check_specific_ecdf\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [],
   "source": [
    "def test_ecdf(data1, data2):\n",
    "    diff_aux = data1[0] - data2[0]\n",
    "    cmp_f = (lambda a, b: a-b < 0) # Se esperan siempre diferencias positivas, si una es negativa se cruzan los ecdf's\n",
    "    if diff_aux < 0:\n",
    "        cmp_f = (lambda a, b: a-b > 0) # Se esperan siempre diferencias negativas, si una es positivas se cruzan los ecdf's\n",
    "        \n",
    "    for index_value in range(1,len(data1)):\n",
    "        if cmp_f(data1[index_value], data2[index_value]):\n",
    "            return False\n",
    "    return True\n",
    "\n",
    "def plot_ecdf(data1, data2, ecdf1, ecdf2, title):\n",
    "    f=plt.figure(figsize=(22, 14))\n",
    "    ax=f.add_subplot(111)\n",
    "\n",
    "    ax.plot(data1, ecdf1, color=colors_m[0], linestyle=linestyle_m[0], \\\n",
    "        marker=markers_m[0], markersize=18)\n",
    "    ax.plot(data2, ecdf2, color=colors_m[2], linestyle=linestyle_m[2], \\\n",
    "        marker=markers_m[2], markersize=18)\n",
    "\n",
    "    ax.set_xlabel(\"Values\", fontsize=36)\n",
    "    ax.set_ylabel(\"Bins\", fontsize=36)\n",
    "    ax.tick_params(axis='both', which='major', labelsize=36)\n",
    "    ax.tick_params(axis='both', which='minor', labelsize=36)\n",
    "    ax.set_title(title, fontsize=40)\n",
    "        \n",
    "    f.tight_layout()\n",
    "\n",
    "def check_specific_ecdf(np_aux, ns_aux, configuration_index):\n",
    "    df_check = dfM\n",
    "    tipo = 'T_Redistribution'\n",
    "    used_config = configurations_simple\n",
    "    dataLists = get_df_np_ns_data(df_check, tipo, used_config, np_aux, ns_aux)\n",
    "    ecdfLists = []\n",
    "    for index_i in range(len(dataLists)):\n",
    "        dataLists[index_i].sort()\n",
    "        ecdfLists.append( np.arange(1, len(dataLists[index_i])+1)/float(len(dataLists[index_i])) )\n",
    "\n",
    "    index_i = configuration_index\n",
    "    data_i = dataLists[index_i]\n",
    "    ecdf_i = ecdfLists[index_i]\n",
    "    for index_j in range(len(dataLists)):\n",
    "        if index_i != index_j:\n",
    "            data_j = dataLists[index_j]\n",
    "            ecdf_j = ecdfLists[index_j]\n",
    "            res_aux = test_ecdf(data_i, data_j)\n",
    "            if not res_aux:\n",
    "                aux_title = \"NP=\"+str(np_aux)+\"/NC=\"+str(ns_aux)+\" -- Comparing C\"+str(index_i) + \" vs C\"+str(index_j)\n",
    "                plot_ecdf(data_i, data_j, ecdf_i, ecdf_j, aux_title)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "for np_aux in processes:\n",
    "    for ns_aux in processes:\n",
    "        if np_aux != ns_aux and not (np_aux==2 and ns_aux==20):\n",
    "            check_winner_ecdf(np_aux, ns_aux, 9)\n",
    "\n",
    "        \n",
    "        "
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================================"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0\n",
      "[2.871732, 2.97493, 2.990134, 3.053695, 3.06336, 3.18278, 3.211649, 3.223778, 3.297137, 3.349738]\n",
      "1\n",
      "[1.168577, 1.319717, 1.345861, 1.393206, 1.399982, 1.463928, 1.512052, 1.513019, 1.544588, 2.096262]\n",
      "2\n",
      "[1.251623, 1.292697, 1.293382, 1.299329, 1.338683, 1.376693, 1.402257, 1.403168, 1.406421, 1.41668]\n",
      "3\n",
      "[1.960452, 1.967206, 1.991138, 1.995762, 1.995877, 2.036696, 2.066609, 2.104464, 2.111925, 2.113688]\n",
      "4\n",
      "[1.220226, 1.30762, 1.362405, 1.411654, 1.471944, 1.48196, 1.487014, 1.577096, 1.605507, 1.654253]\n",
      "5\n",
      "[1.308103, 1.315887, 1.31641, 1.338748, 1.345931, 1.405136, 1.492106, 1.5995, 1.731368, 1.947881]\n",
      "6\n",
      "[1.283664, 1.328322, 1.450976, 1.463982, 1.471652, 1.514454, 1.563664, 1.596013, 1.635619, 1.764415]\n",
      "7\n",
      "[1.241571, 1.24428, 1.254164, 1.279794, 1.314827, 1.348006, 1.399693, 1.413643, 1.493173, 1.68376]\n",
      "8\n",
      "[1.375232, 1.376518, 1.37785, 1.411021, 1.416741, 1.453341, 1.459021, 1.500713, 1.530591, 1.565909]\n",
      "9\n",
      "[1.424618, 1.447592, 1.454818, 1.459452, 1.493042, 1.496673, 1.572798, 1.576776, 1.612745, 1.652008]\n",
      "10\n",
      "[1.212965, 1.255806, 1.383367, 1.395766, 1.410026, 1.463665, 1.478321, 1.498239, 1.593558, 1.74493]\n",
      "11\n",
      "[1.191886, 1.215873, 1.225778, 1.235897, 1.24386, 1.383852, 1.384812, 1.475905, 1.676849, 2.007852]\n"
     ]
    }
   ],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Ethernet\n",
    "b1_aux = [82.747868, 83.191989, 95.520019, 87.435987, 90.843995, 150.356100]\n",
    "b2_aux = [75.238174, 74.380054, 74.755995, 42.656109, 21.588040, 17.843997]\n",
    "m1_aux = [74.654167, 74.357901, 74.351350, 43.599915, 21.637509, 15.128712]\n",
    "m2_aux = [74.353249, 74.359214, 74.356160, 43.874266, 21.511082, 14.969010]\n",
    "\n",
    "b3_aux = [105.128014, 110.004008, 126.552019, 116.312400, 95.752019, 151.023994]\n",
    "b4_aux = [83.021885, 77.632630, 75.396010, 43.076039, 24.028075, 19.556047]\n",
    "m3_aux = [118.275992, 83.027866, 81.008479, 46.432212, 24.247949, 17.725083]\n",
    "m4_aux = [119.286457, 84.205993, 80.741585, 47.144632, 24.206617, 17.738496]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Infiniband\n",
    "b1_aux = [64.669525, 35.171971, 38.916010, 47.456630, 56.288048, 119.428020]\n",
    "b2_aux = [36.538361, 15.536046, 13.396083, 9.652013, 5.772058, 5.615009]\n",
    "m1_aux = [61.664380, 18.400559, 19.112526, 22.155880, 11.712381, 30.775627]\n",
    "m2_aux = [33.428639, 13.905561, 14.691367, 7.363081, 6.629037, 12.150872]\n",
    "\n",
    "b3_aux = [91.368664, 60.648074, 53.663981, 49.152031, 64.752057, 118.243807]\n",
    "b4_aux = [84.941260, 34.039990, 26.008021, 12.298989, 7.916004, 5.736054]\n",
    "m3_aux = [105.839726, 26.822071, 23.834452, 12.876862, 9.063136, 7.007535]\n",
    "m4_aux = [75.412319, 25.566336, 22.129483, 12.491161, 7.903744, 6.534291]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[82.747868, 83.191989, 95.520019, 87.435987, 90.843995, 150.3561]\n",
      "[74.654167, 74.357901, 74.35135, 43.599915, 21.637509, 15.128712]\n",
      "[75.238174, 74.380054, 74.755995, 42.656109, 21.58804, 17.843997]\n",
      "[74.353249, 74.359214, 74.35616, 43.874266, 21.511082, 14.96901]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1584x1008 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "\n",
    "plot_data_e = [b1_aux, m1_aux, b2_aux, m2_aux] #Expand\n",
    "plot_data_s = [b3_aux, m3_aux, b4_aux, m4_aux] #Shrink\n",
    "\n",
    "labels_aux_e = create_labels_lineplot('e', lambda a, b: a == 160 or b == 160)\n",
    "labels_aux_s = create_labels_lineplot('s', lambda a, b: a == 160 or b == 160)\n",
    "#labels_aux = create_labels_lineplot(used_direction)\n",
    "\n",
    "labelsMethods_aux = ['Baseline - AllS', 'Merge - AllS',\n",
    "                     'Baseline - AllA','Merge - AllA']\n",
    "\n",
    "#labelsMethods_aux = ['Baseline - All', 'Baseline - P2P','Merge - All','Merge - P2P']\n",
    "\n",
    "f, (axe, axs)=plt.subplots(1,2,figsize=(22, 14))\n",
    "x = np.arange(len(labels_aux_e))\n",
    "for index in range(len(plot_data_e)):\n",
    "    array_aux_e = plot_data_e[index]\n",
    "    array_aux_s = plot_data_s[index]\n",
    "    plot_index = index\n",
    "    if index > 0:\n",
    "        plot_index = 2**plot_index\n",
    "    print(array_aux_e)\n",
    "    axe.plot(x, array_aux_e, color=colors_m[plot_index%len(colors_m)], linestyle=linestyle_m[plot_index%len(linestyle_m)], \\\n",
    "        marker=markers_m[plot_index%len(markers_m)], markersize=18, label=labelsMethods_aux[index])\n",
    "    axs.plot(x, array_aux_s, color=colors_m[plot_index%len(colors_m)], linestyle=linestyle_m[plot_index%len(linestyle_m)], \\\n",
    "        marker=markers_m[plot_index%len(markers_m)], markersize=18, label=labelsMethods_aux[index])\n",
    "\n",
    "axe.set_xlabel(\"(NP,NC)\", fontsize=36)\n",
    "axe.set_ylabel(\"Time(s)\", fontsize=36)\n",
    "axe.set_xticks(x)\n",
    "axe.set_xticklabels(labels_aux_e, rotation=90)\n",
    "axe.tick_params(axis='both', which='major', labelsize=36)\n",
    "axe.tick_params(axis='both', which='minor', labelsize=36)\n",
    "\n",
    "axs.set_xlabel(\"(NP,NC)\", fontsize=36)\n",
    "axs.set_ylabel(\"Time(s)\", fontsize=36)\n",
    "axs.set_xticks(x)\n",
    "axs.set_xticklabels(labels_aux_s, rotation=90)\n",
    "axs.tick_params(axis='both', which='major', labelsize=36)\n",
    "axs.tick_params(axis='both', which='minor', labelsize=36)\n",
    "\n",
    "plt.legend(loc='best', fontsize=30,ncol=2,framealpha=0.8)\n",
    "        \n",
    "f.tight_layout()\n",
    "f.savefig(\"Images/LinePlot_100Gb.png\", format=\"png\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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