5_SM_MFEA.ipynb

{
 "cells": [
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Import"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "\n",
    "from pyMSOO.MFEA.model import SM_MFEA\n",
    "from pyMSOO.utils.Crossover import *\n",
    "from pyMSOO.utils.Mutation import *\n",
    "from pyMSOO.utils.Selection import *\n",
    "from pyMSOO.utils.DimensionAwareStrategy import DaS_strategy\n",
    "\n",
    "from pyMSOO.utils.EA import * \n",
    "from pyMSOO.MFEA.benchmark.continous.CEC17 import CEC17_benchmark \n",
    "from pyMSOO.MFEA.benchmark.continous.WCCI22 import WCCI22_benchmark\n",
    "\n",
    "from pyMSOO.utils.MultiRun.RunMultiTime import * \n",
    "from pyMSOO.utils.MultiRun.RunMultiBenchmark import * "
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Run"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# tasks, IndClass = CEC17_benchmark.get_2tasks_benchmark(1)\n",
    "# tasks, IndClass = WCCI22_benchmark.get_complex_benchmark(1)\n",
    "tasks, IndClass = CEC17_benchmark.get_10tasks_benchmark()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "1 time"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "ename": "KeyboardInterrupt",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
      "Cell \u001b[1;32mIn[3], line 2\u001b[0m\n\u001b[0;32m      1\u001b[0m SM_SBX \u001b[39m=\u001b[39m SM_MFEA\u001b[39m.\u001b[39mmodel()\n\u001b[1;32m----> 2\u001b[0m SM_SBX\u001b[39m.\u001b[39;49mcompile(\n\u001b[0;32m      3\u001b[0m     IndClass\u001b[39m=\u001b[39;49m IndClass,\n\u001b[0;32m      4\u001b[0m     tasks\u001b[39m=\u001b[39;49m tasks,\n\u001b[0;32m      5\u001b[0m     crossover\u001b[39m=\u001b[39;49m SBX_Crossover(nc \u001b[39m=\u001b[39;49m \u001b[39m2\u001b[39;49m),\n\u001b[0;32m      6\u001b[0m     mutation\u001b[39m=\u001b[39;49m PolynomialMutation(nm \u001b[39m=\u001b[39;49m \u001b[39m5\u001b[39;49m),\n\u001b[0;32m      7\u001b[0m )\n\u001b[0;32m      8\u001b[0m solve \u001b[39m=\u001b[39m SM_SBX\u001b[39m.\u001b[39mfit(\n\u001b[0;32m      9\u001b[0m     nb_generations\u001b[39m=\u001b[39m \u001b[39m1000\u001b[39m, nb_inds_each_task\u001b[39m=\u001b[39m \u001b[39m100\u001b[39m, nb_inds_min\u001b[39m=\u001b[39m \u001b[39m20\u001b[39m,\n\u001b[0;32m     10\u001b[0m     lr \u001b[39m=\u001b[39m \u001b[39m0.1\u001b[39m, mu\u001b[39m=\u001b[39m\u001b[39m0.1\u001b[39m,\n\u001b[0;32m     11\u001b[0m     evaluate_initial_skillFactor\u001b[39m=\u001b[39m \u001b[39mTrue\u001b[39;00m\n\u001b[0;32m     12\u001b[0m )\n",
      "File \u001b[1;32mf:\\BTVN\\DSAI\\Optimization Lab\\pyMSOO\\pyMSOO\\MFEA\\model\\SM_MFEA.py:60\u001b[0m, in \u001b[0;36mmodel.compile\u001b[1;34m(self, IndClass, tasks, crossover, mutation, dimension_strategy, selection, *args, **kwargs)\u001b[0m\n\u001b[0;32m     52\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39mcompile\u001b[39m(\u001b[39mself\u001b[39m, \n\u001b[0;32m     53\u001b[0m     IndClass: Type[Individual],\n\u001b[0;32m     54\u001b[0m     tasks: List[AbstractTask], \n\u001b[1;32m   (...)\u001b[0m\n\u001b[0;32m     58\u001b[0m     selection: Selection\u001b[39m.\u001b[39mAbstractSelection\u001b[39m=\u001b[39m Selection\u001b[39m.\u001b[39mElitismSelection(), \n\u001b[0;32m     59\u001b[0m     \u001b[39m*\u001b[39margs, \u001b[39m*\u001b[39m\u001b[39m*\u001b[39mkwargs):\n\u001b[1;32m---> 60\u001b[0m     \u001b[39msuper\u001b[39;49m()\u001b[39m.\u001b[39;49mcompile(IndClass, tasks, crossover, mutation, dimension_strategy, selection, \u001b[39m*\u001b[39;49margs, \u001b[39m*\u001b[39;49m\u001b[39m*\u001b[39;49mkwargs)\n",
      "File \u001b[1;32mf:\\BTVN\\DSAI\\Optimization Lab\\pyMSOO\\pyMSOO\\MFEA\\model\\AbstractModel.py:93\u001b[0m, in \u001b[0;36mmodel.compile\u001b[1;34m(self, IndClass, tasks, crossover, mutation, dimension_strategy, selection, *args, **kwargs)\u001b[0m\n\u001b[0;32m     90\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mselection\u001b[39m.\u001b[39mgetInforTasks(tasks, seed \u001b[39m=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mseed)\n\u001b[0;32m     92\u001b[0m \u001b[39m# warmup Ind and task\u001b[39;00m\n\u001b[1;32m---> 93\u001b[0m test_pop \u001b[39m=\u001b[39m Population(\n\u001b[0;32m     94\u001b[0m     \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mIndClass,\n\u001b[0;32m     95\u001b[0m     nb_inds_tasks \u001b[39m=\u001b[39;49m [\u001b[39m10\u001b[39;49m] \u001b[39m*\u001b[39;49m \u001b[39mlen\u001b[39;49m(\u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mtasks), \n\u001b[0;32m     96\u001b[0m     dim \u001b[39m=\u001b[39;49m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mdim_uss,\n\u001b[0;32m     97\u001b[0m     list_tasks\u001b[39m=\u001b[39;49m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mtasks,\n\u001b[0;32m     98\u001b[0m     evaluate_initial_skillFactor \u001b[39m=\u001b[39;49m \u001b[39mTrue\u001b[39;49;00m\n\u001b[0;32m     99\u001b[0m )\n\u001b[0;32m    101\u001b[0m \u001b[39m# warmup crossover\u001b[39;00m\n\u001b[0;32m    102\u001b[0m pa, pb \u001b[39m=\u001b[39m test_pop\u001b[39m.\u001b[39m__getRandomInds__(\u001b[39m2\u001b[39m)\n",
      "File \u001b[1;32mf:\\BTVN\\DSAI\\Optimization Lab\\pyMSOO\\pyMSOO\\utils\\EA.py:295\u001b[0m, in \u001b[0;36mPopulation.__init__\u001b[1;34m(self, IndClass, dim, nb_inds_tasks, list_tasks, evaluate_initial_skillFactor)\u001b[0m\n\u001b[0;32m    290\u001b[0m ls_inds \u001b[39m=\u001b[39m [\n\u001b[0;32m    291\u001b[0m     IndClass(genes\u001b[39m=\u001b[39m \u001b[39mNone\u001b[39;00m, dim\u001b[39m=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mdim_uss)\n\u001b[0;32m    292\u001b[0m     \u001b[39mfor\u001b[39;00m i \u001b[39min\u001b[39;00m \u001b[39mrange\u001b[39m(np\u001b[39m.\u001b[39msum(nb_inds_tasks))\n\u001b[0;32m    293\u001b[0m ]\n\u001b[0;32m    294\u001b[0m \u001b[39m# matrix factorial cost and matrix rank\u001b[39;00m\n\u001b[1;32m--> 295\u001b[0m matrix_cost \u001b[39m=\u001b[39m np\u001b[39m.\u001b[39marray([[ind\u001b[39m.\u001b[39meval(t) \u001b[39mfor\u001b[39;00m ind \u001b[39min\u001b[39;00m ls_inds] \u001b[39mfor\u001b[39;00m t \u001b[39min\u001b[39;00m list_tasks])\u001b[39m.\u001b[39mT\n\u001b[0;32m    296\u001b[0m matrix_rank_pop \u001b[39m=\u001b[39m np\u001b[39m.\u001b[39margsort(np\u001b[39m.\u001b[39margsort(matrix_cost, axis \u001b[39m=\u001b[39m \u001b[39m0\u001b[39m), axis \u001b[39m=\u001b[39m \u001b[39m0\u001b[39m) \n\u001b[0;32m    298\u001b[0m count_inds \u001b[39m=\u001b[39m np\u001b[39m.\u001b[39mzeros((\u001b[39mlen\u001b[39m(list_tasks),))\n",
      "File \u001b[1;32mf:\\BTVN\\DSAI\\Optimization Lab\\pyMSOO\\pyMSOO\\utils\\EA.py:295\u001b[0m, in \u001b[0;36m<listcomp>\u001b[1;34m(.0)\u001b[0m\n\u001b[0;32m    290\u001b[0m ls_inds \u001b[39m=\u001b[39m [\n\u001b[0;32m    291\u001b[0m     IndClass(genes\u001b[39m=\u001b[39m \u001b[39mNone\u001b[39;00m, dim\u001b[39m=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mdim_uss)\n\u001b[0;32m    292\u001b[0m     \u001b[39mfor\u001b[39;00m i \u001b[39min\u001b[39;00m \u001b[39mrange\u001b[39m(np\u001b[39m.\u001b[39msum(nb_inds_tasks))\n\u001b[0;32m    293\u001b[0m ]\n\u001b[0;32m    294\u001b[0m \u001b[39m# matrix factorial cost and matrix rank\u001b[39;00m\n\u001b[1;32m--> 295\u001b[0m matrix_cost \u001b[39m=\u001b[39m np\u001b[39m.\u001b[39marray([[ind\u001b[39m.\u001b[39meval(t) \u001b[39mfor\u001b[39;00m ind \u001b[39min\u001b[39;00m ls_inds] \u001b[39mfor\u001b[39;00m t \u001b[39min\u001b[39;00m list_tasks])\u001b[39m.\u001b[39mT\n\u001b[0;32m    296\u001b[0m matrix_rank_pop \u001b[39m=\u001b[39m np\u001b[39m.\u001b[39margsort(np\u001b[39m.\u001b[39margsort(matrix_cost, axis \u001b[39m=\u001b[39m \u001b[39m0\u001b[39m), axis \u001b[39m=\u001b[39m \u001b[39m0\u001b[39m) \n\u001b[0;32m    298\u001b[0m count_inds \u001b[39m=\u001b[39m np\u001b[39m.\u001b[39mzeros((\u001b[39mlen\u001b[39m(list_tasks),))\n",
      "File \u001b[1;32mf:\\BTVN\\DSAI\\Optimization Lab\\pyMSOO\\pyMSOO\\utils\\EA.py:295\u001b[0m, in \u001b[0;36m<listcomp>\u001b[1;34m(.0)\u001b[0m\n\u001b[0;32m    290\u001b[0m ls_inds \u001b[39m=\u001b[39m [\n\u001b[0;32m    291\u001b[0m     IndClass(genes\u001b[39m=\u001b[39m \u001b[39mNone\u001b[39;00m, dim\u001b[39m=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mdim_uss)\n\u001b[0;32m    292\u001b[0m     \u001b[39mfor\u001b[39;00m i \u001b[39min\u001b[39;00m \u001b[39mrange\u001b[39m(np\u001b[39m.\u001b[39msum(nb_inds_tasks))\n\u001b[0;32m    293\u001b[0m ]\n\u001b[0;32m    294\u001b[0m \u001b[39m# matrix factorial cost and matrix rank\u001b[39;00m\n\u001b[1;32m--> 295\u001b[0m matrix_cost \u001b[39m=\u001b[39m np\u001b[39m.\u001b[39marray([[ind\u001b[39m.\u001b[39;49meval(t) \u001b[39mfor\u001b[39;00m ind \u001b[39min\u001b[39;00m ls_inds] \u001b[39mfor\u001b[39;00m t \u001b[39min\u001b[39;00m list_tasks])\u001b[39m.\u001b[39mT\n\u001b[0;32m    296\u001b[0m matrix_rank_pop \u001b[39m=\u001b[39m np\u001b[39m.\u001b[39margsort(np\u001b[39m.\u001b[39margsort(matrix_cost, axis \u001b[39m=\u001b[39m \u001b[39m0\u001b[39m), axis \u001b[39m=\u001b[39m \u001b[39m0\u001b[39m) \n\u001b[0;32m    298\u001b[0m count_inds \u001b[39m=\u001b[39m np\u001b[39m.\u001b[39mzeros((\u001b[39mlen\u001b[39m(list_tasks),))\n",
      "File \u001b[1;32mf:\\BTVN\\DSAI\\Optimization Lab\\pyMSOO\\pyMSOO\\utils\\EA.py:44\u001b[0m, in \u001b[0;36mIndividual.eval\u001b[1;34m(self, task)\u001b[0m\n\u001b[0;32m     39\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39meval\u001b[39m(\u001b[39mself\u001b[39m, task: AbstractTask) \u001b[39m-\u001b[39m\u001b[39m>\u001b[39m \u001b[39mNone\u001b[39;00m:\n\u001b[0;32m     40\u001b[0m \u001b[39m    \u001b[39m\u001b[39m'''\u001b[39;00m\n\u001b[0;32m     41\u001b[0m \u001b[39m    Evaluate Individual\u001b[39;00m\n\u001b[0;32m     42\u001b[0m \u001b[39m    return factorial_cost after evaluate\u001b[39;00m\n\u001b[0;32m     43\u001b[0m \u001b[39m    '''\u001b[39;00m\n\u001b[1;32m---> 44\u001b[0m     \u001b[39mreturn\u001b[39;00m task(\u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mgenes)\n",
      "File \u001b[1;32mf:\\BTVN\\DSAI\\Optimization Lab\\pyMSOO\\pyMSOO\\MFEA\\benchmark\\continous\\funcs.py:228\u001b[0m, in \u001b[0;36mGriewank.__call__\u001b[1;34m(self, x)\u001b[0m\n\u001b[0;32m    226\u001b[0m x \u001b[39m=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m\u001b[39m__class__\u001b[39m\u001b[39m.\u001b[39m_convert(x)\n\u001b[0;32m    227\u001b[0m x \u001b[39m=\u001b[39m   \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m\u001b[39m__class__\u001b[39m\u001b[39m.\u001b[39mdecode(x, \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mdim, \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mlimited_space, \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mbound, \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mrotation_matrix, \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mshift)\n\u001b[1;32m--> 228\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39m__class__\u001b[39;49m\u001b[39m.\u001b[39;49m_func(x, \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mdim)\n",
      "File \u001b[1;32mf:\\Anaconda\\Anaconda\\envs\\MFEA\\lib\\site-packages\\numba\\core\\dispatcher.py:420\u001b[0m, in \u001b[0;36m_DispatcherBase._compile_for_args\u001b[1;34m(self, *args, **kws)\u001b[0m\n\u001b[0;32m    418\u001b[0m return_val \u001b[39m=\u001b[39m \u001b[39mNone\u001b[39;00m\n\u001b[0;32m    419\u001b[0m \u001b[39mtry\u001b[39;00m:\n\u001b[1;32m--> 420\u001b[0m     return_val \u001b[39m=\u001b[39m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mcompile(\u001b[39mtuple\u001b[39;49m(argtypes))\n\u001b[0;32m    421\u001b[0m \u001b[39mexcept\u001b[39;00m errors\u001b[39m.\u001b[39mForceLiteralArg \u001b[39mas\u001b[39;00m e:\n\u001b[0;32m    422\u001b[0m     \u001b[39m# Received request for compiler re-entry with the list of arguments\u001b[39;00m\n\u001b[0;32m    423\u001b[0m     \u001b[39m# indicated by e.requested_args.\u001b[39;00m\n\u001b[0;32m    424\u001b[0m     \u001b[39m# First, check if any of these args are already Literal-ized\u001b[39;00m\n\u001b[0;32m    425\u001b[0m     already_lit_pos \u001b[39m=\u001b[39m [i \u001b[39mfor\u001b[39;00m i \u001b[39min\u001b[39;00m e\u001b[39m.\u001b[39mrequested_args\n\u001b[0;32m    426\u001b[0m                        \u001b[39mif\u001b[39;00m \u001b[39misinstance\u001b[39m(args[i], types\u001b[39m.\u001b[39mLiteral)]\n",
      "File \u001b[1;32mf:\\Anaconda\\Anaconda\\envs\\MFEA\\lib\\site-packages\\numba\\core\\dispatcher.py:965\u001b[0m, in \u001b[0;36mDispatcher.compile\u001b[1;34m(self, sig)\u001b[0m\n\u001b[0;32m    963\u001b[0m \u001b[39mwith\u001b[39;00m ev\u001b[39m.\u001b[39mtrigger_event(\u001b[39m\"\u001b[39m\u001b[39mnumba:compile\u001b[39m\u001b[39m\"\u001b[39m, data\u001b[39m=\u001b[39mev_details):\n\u001b[0;32m    964\u001b[0m     \u001b[39mtry\u001b[39;00m:\n\u001b[1;32m--> 965\u001b[0m         cres \u001b[39m=\u001b[39m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_compiler\u001b[39m.\u001b[39;49mcompile(args, return_type)\n\u001b[0;32m    966\u001b[0m     \u001b[39mexcept\u001b[39;00m errors\u001b[39m.\u001b[39mForceLiteralArg \u001b[39mas\u001b[39;00m e:\n\u001b[0;32m    967\u001b[0m         \u001b[39mdef\u001b[39;00m \u001b[39mfolded\u001b[39m(args, kws):\n",
      "File \u001b[1;32mf:\\Anaconda\\Anaconda\\envs\\MFEA\\lib\\site-packages\\numba\\core\\dispatcher.py:125\u001b[0m, in \u001b[0;36m_FunctionCompiler.compile\u001b[1;34m(self, args, return_type)\u001b[0m\n\u001b[0;32m    124\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39mcompile\u001b[39m(\u001b[39mself\u001b[39m, args, return_type):\n\u001b[1;32m--> 125\u001b[0m     status, retval \u001b[39m=\u001b[39m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_compile_cached(args, return_type)\n\u001b[0;32m    126\u001b[0m     \u001b[39mif\u001b[39;00m status:\n\u001b[0;32m    127\u001b[0m         \u001b[39mreturn\u001b[39;00m retval\n",
      "File \u001b[1;32mf:\\Anaconda\\Anaconda\\envs\\MFEA\\lib\\site-packages\\numba\\core\\dispatcher.py:139\u001b[0m, in \u001b[0;36m_FunctionCompiler._compile_cached\u001b[1;34m(self, args, return_type)\u001b[0m\n\u001b[0;32m    136\u001b[0m     \u001b[39mpass\u001b[39;00m\n\u001b[0;32m    138\u001b[0m \u001b[39mtry\u001b[39;00m:\n\u001b[1;32m--> 139\u001b[0m     retval \u001b[39m=\u001b[39m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_compile_core(args, return_type)\n\u001b[0;32m    140\u001b[0m \u001b[39mexcept\u001b[39;00m errors\u001b[39m.\u001b[39mTypingError \u001b[39mas\u001b[39;00m e:\n\u001b[0;32m    141\u001b[0m     \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_failed_cache[key] \u001b[39m=\u001b[39m e\n",
      "File \u001b[1;32mf:\\Anaconda\\Anaconda\\envs\\MFEA\\lib\\site-packages\\numba\\core\\dispatcher.py:152\u001b[0m, in \u001b[0;36m_FunctionCompiler._compile_core\u001b[1;34m(self, args, return_type)\u001b[0m\n\u001b[0;32m    149\u001b[0m flags \u001b[39m=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_customize_flags(flags)\n\u001b[0;32m    151\u001b[0m impl \u001b[39m=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_get_implementation(args, {})\n\u001b[1;32m--> 152\u001b[0m cres \u001b[39m=\u001b[39m compiler\u001b[39m.\u001b[39;49mcompile_extra(\u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mtargetdescr\u001b[39m.\u001b[39;49mtyping_context,\n\u001b[0;32m    153\u001b[0m                               \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mtargetdescr\u001b[39m.\u001b[39;49mtarget_context,\n\u001b[0;32m    154\u001b[0m                               impl,\n\u001b[0;32m    155\u001b[0m                               args\u001b[39m=\u001b[39;49margs, return_type\u001b[39m=\u001b[39;49mreturn_type,\n\u001b[0;32m    156\u001b[0m                               flags\u001b[39m=\u001b[39;49mflags, \u001b[39mlocals\u001b[39;49m\u001b[39m=\u001b[39;49m\u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mlocals,\n\u001b[0;32m    157\u001b[0m                               pipeline_class\u001b[39m=\u001b[39;49m\u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mpipeline_class)\n\u001b[0;32m    158\u001b[0m \u001b[39m# Check typing error if object mode is used\u001b[39;00m\n\u001b[0;32m    159\u001b[0m \u001b[39mif\u001b[39;00m cres\u001b[39m.\u001b[39mtyping_error \u001b[39mis\u001b[39;00m \u001b[39mnot\u001b[39;00m \u001b[39mNone\u001b[39;00m \u001b[39mand\u001b[39;00m \u001b[39mnot\u001b[39;00m flags\u001b[39m.\u001b[39menable_pyobject:\n",
      "File \u001b[1;32mf:\\Anaconda\\Anaconda\\envs\\MFEA\\lib\\site-packages\\numba\\core\\compiler.py:716\u001b[0m, in \u001b[0;36mcompile_extra\u001b[1;34m(typingctx, targetctx, func, args, return_type, flags, locals, library, pipeline_class)\u001b[0m\n\u001b[0;32m    692\u001b[0m \u001b[39m\u001b[39m\u001b[39m\"\"\"Compiler entry point\u001b[39;00m\n\u001b[0;32m    693\u001b[0m \n\u001b[0;32m    694\u001b[0m \u001b[39mParameter\u001b[39;00m\n\u001b[1;32m   (...)\u001b[0m\n\u001b[0;32m    712\u001b[0m \u001b[39m    compiler pipeline\u001b[39;00m\n\u001b[0;32m    713\u001b[0m \u001b[39m\"\"\"\u001b[39;00m\n\u001b[0;32m    714\u001b[0m pipeline \u001b[39m=\u001b[39m pipeline_class(typingctx, targetctx, library,\n\u001b[0;32m    715\u001b[0m                           args, return_type, flags, \u001b[39mlocals\u001b[39m)\n\u001b[1;32m--> 716\u001b[0m \u001b[39mreturn\u001b[39;00m pipeline\u001b[39m.\u001b[39;49mcompile_extra(func)\n",
      "File \u001b[1;32mf:\\Anaconda\\Anaconda\\envs\\MFEA\\lib\\site-packages\\numba\\core\\compiler.py:452\u001b[0m, in \u001b[0;36mCompilerBase.compile_extra\u001b[1;34m(self, func)\u001b[0m\n\u001b[0;32m    450\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mstate\u001b[39m.\u001b[39mlifted \u001b[39m=\u001b[39m ()\n\u001b[0;32m    451\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mstate\u001b[39m.\u001b[39mlifted_from \u001b[39m=\u001b[39m \u001b[39mNone\u001b[39;00m\n\u001b[1;32m--> 452\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_compile_bytecode()\n",
      "File \u001b[1;32mf:\\Anaconda\\Anaconda\\envs\\MFEA\\lib\\site-packages\\numba\\core\\compiler.py:520\u001b[0m, in \u001b[0;36mCompilerBase._compile_bytecode\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m    516\u001b[0m \u001b[39m\u001b[39m\u001b[39m\"\"\"\u001b[39;00m\n\u001b[0;32m    517\u001b[0m \u001b[39mPopulate and run pipeline for bytecode input\u001b[39;00m\n\u001b[0;32m    518\u001b[0m \u001b[39m\"\"\"\u001b[39;00m\n\u001b[0;32m    519\u001b[0m \u001b[39massert\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mstate\u001b[39m.\u001b[39mfunc_ir \u001b[39mis\u001b[39;00m \u001b[39mNone\u001b[39;00m\n\u001b[1;32m--> 520\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_compile_core()\n",
      "File \u001b[1;32mf:\\Anaconda\\Anaconda\\envs\\MFEA\\lib\\site-packages\\numba\\core\\compiler.py:486\u001b[0m, in \u001b[0;36mCompilerBase._compile_core\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m    484\u001b[0m res \u001b[39m=\u001b[39m \u001b[39mNone\u001b[39;00m\n\u001b[0;32m    485\u001b[0m \u001b[39mtry\u001b[39;00m:\n\u001b[1;32m--> 486\u001b[0m     pm\u001b[39m.\u001b[39;49mrun(\u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mstate)\n\u001b[0;32m    487\u001b[0m     \u001b[39mif\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mstate\u001b[39m.\u001b[39mcr \u001b[39mis\u001b[39;00m \u001b[39mnot\u001b[39;00m \u001b[39mNone\u001b[39;00m:\n\u001b[0;32m    488\u001b[0m         \u001b[39mbreak\u001b[39;00m\n",
      "File \u001b[1;32mf:\\Anaconda\\Anaconda\\envs\\MFEA\\lib\\site-packages\\numba\\core\\compiler_machinery.py:356\u001b[0m, in \u001b[0;36mPassManager.run\u001b[1;34m(self, state)\u001b[0m\n\u001b[0;32m    354\u001b[0m pass_inst \u001b[39m=\u001b[39m _pass_registry\u001b[39m.\u001b[39mget(pss)\u001b[39m.\u001b[39mpass_inst\n\u001b[0;32m    355\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39misinstance\u001b[39m(pass_inst, CompilerPass):\n\u001b[1;32m--> 356\u001b[0m     \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_runPass(idx, pass_inst, state)\n\u001b[0;32m    357\u001b[0m \u001b[39melse\u001b[39;00m:\n\u001b[0;32m    358\u001b[0m     \u001b[39mraise\u001b[39;00m \u001b[39mBaseException\u001b[39;00m(\u001b[39m\"\u001b[39m\u001b[39mLegacy pass in use\u001b[39m\u001b[39m\"\u001b[39m)\n",
      "File \u001b[1;32mf:\\Anaconda\\Anaconda\\envs\\MFEA\\lib\\site-packages\\numba\\core\\compiler_lock.py:35\u001b[0m, in \u001b[0;36m_CompilerLock.__call__.<locals>._acquire_compile_lock\u001b[1;34m(*args, **kwargs)\u001b[0m\n\u001b[0;32m     32\u001b[0m \u001b[39m@functools\u001b[39m\u001b[39m.\u001b[39mwraps(func)\n\u001b[0;32m     33\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39m_acquire_compile_lock\u001b[39m(\u001b[39m*\u001b[39margs, \u001b[39m*\u001b[39m\u001b[39m*\u001b[39mkwargs):\n\u001b[0;32m     34\u001b[0m     \u001b[39mwith\u001b[39;00m \u001b[39mself\u001b[39m:\n\u001b[1;32m---> 35\u001b[0m         \u001b[39mreturn\u001b[39;00m func(\u001b[39m*\u001b[39;49margs, \u001b[39m*\u001b[39;49m\u001b[39m*\u001b[39;49mkwargs)\n",
      "File \u001b[1;32mf:\\Anaconda\\Anaconda\\envs\\MFEA\\lib\\site-packages\\numba\\core\\compiler_machinery.py:311\u001b[0m, in \u001b[0;36mPassManager._runPass\u001b[1;34m(self, index, pss, internal_state)\u001b[0m\n\u001b[0;32m    309\u001b[0m     mutated \u001b[39m|\u001b[39m\u001b[39m=\u001b[39m check(pss\u001b[39m.\u001b[39mrun_initialization, internal_state)\n\u001b[0;32m    310\u001b[0m \u001b[39mwith\u001b[39;00m SimpleTimer() \u001b[39mas\u001b[39;00m pass_time:\n\u001b[1;32m--> 311\u001b[0m     mutated \u001b[39m|\u001b[39m\u001b[39m=\u001b[39m check(pss\u001b[39m.\u001b[39;49mrun_pass, internal_state)\n\u001b[0;32m    312\u001b[0m \u001b[39mwith\u001b[39;00m SimpleTimer() \u001b[39mas\u001b[39;00m finalize_time:\n\u001b[0;32m    313\u001b[0m     mutated \u001b[39m|\u001b[39m\u001b[39m=\u001b[39m check(pss\u001b[39m.\u001b[39mrun_finalizer, internal_state)\n",
      "File \u001b[1;32mf:\\Anaconda\\Anaconda\\envs\\MFEA\\lib\\site-packages\\numba\\core\\compiler_machinery.py:273\u001b[0m, in \u001b[0;36mPassManager._runPass.<locals>.check\u001b[1;34m(func, compiler_state)\u001b[0m\n\u001b[0;32m    272\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39mcheck\u001b[39m(func, compiler_state):\n\u001b[1;32m--> 273\u001b[0m     mangled \u001b[39m=\u001b[39m func(compiler_state)\n\u001b[0;32m    274\u001b[0m     \u001b[39mif\u001b[39;00m mangled \u001b[39mnot\u001b[39;00m \u001b[39min\u001b[39;00m (\u001b[39mTrue\u001b[39;00m, \u001b[39mFalse\u001b[39;00m):\n\u001b[0;32m    275\u001b[0m         msg \u001b[39m=\u001b[39m (\u001b[39m\"\u001b[39m\u001b[39mCompilerPass implementations should return True/False. \u001b[39m\u001b[39m\"\u001b[39m\n\u001b[0;32m    276\u001b[0m                \u001b[39m\"\u001b[39m\u001b[39mCompilerPass with name \u001b[39m\u001b[39m'\u001b[39m\u001b[39m%s\u001b[39;00m\u001b[39m'\u001b[39m\u001b[39m did not.\u001b[39m\u001b[39m\"\u001b[39m)\n",
      "File \u001b[1;32mf:\\Anaconda\\Anaconda\\envs\\MFEA\\lib\\site-packages\\numba\\core\\typed_passes.py:105\u001b[0m, in \u001b[0;36mBaseTypeInference.run_pass\u001b[1;34m(self, state)\u001b[0m\n\u001b[0;32m     99\u001b[0m \u001b[39m\u001b[39m\u001b[39m\"\"\"\u001b[39;00m\n\u001b[0;32m    100\u001b[0m \u001b[39mType inference and legalization\u001b[39;00m\n\u001b[0;32m    101\u001b[0m \u001b[39m\"\"\"\u001b[39;00m\n\u001b[0;32m    102\u001b[0m \u001b[39mwith\u001b[39;00m fallback_context(state, \u001b[39m'\u001b[39m\u001b[39mFunction \u001b[39m\u001b[39m\"\u001b[39m\u001b[39m%s\u001b[39;00m\u001b[39m\"\u001b[39m\u001b[39m failed type inference\u001b[39m\u001b[39m'\u001b[39m\n\u001b[0;32m    103\u001b[0m                       \u001b[39m%\u001b[39m (state\u001b[39m.\u001b[39mfunc_id\u001b[39m.\u001b[39mfunc_name,)):\n\u001b[0;32m    104\u001b[0m     \u001b[39m# Type inference\u001b[39;00m\n\u001b[1;32m--> 105\u001b[0m     typemap, return_type, calltypes, errs \u001b[39m=\u001b[39m type_inference_stage(\n\u001b[0;32m    106\u001b[0m         state\u001b[39m.\u001b[39;49mtypingctx,\n\u001b[0;32m    107\u001b[0m         state\u001b[39m.\u001b[39;49mtargetctx,\n\u001b[0;32m    108\u001b[0m         state\u001b[39m.\u001b[39;49mfunc_ir,\n\u001b[0;32m    109\u001b[0m         state\u001b[39m.\u001b[39;49margs,\n\u001b[0;32m    110\u001b[0m         state\u001b[39m.\u001b[39;49mreturn_type,\n\u001b[0;32m    111\u001b[0m         state\u001b[39m.\u001b[39;49mlocals,\n\u001b[0;32m    112\u001b[0m         raise_errors\u001b[39m=\u001b[39;49m\u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_raise_errors)\n\u001b[0;32m    113\u001b[0m     state\u001b[39m.\u001b[39mtypemap \u001b[39m=\u001b[39m typemap\n\u001b[0;32m    114\u001b[0m     \u001b[39m# save errors in case of partial typing\u001b[39;00m\n",
      "File \u001b[1;32mf:\\Anaconda\\Anaconda\\envs\\MFEA\\lib\\site-packages\\numba\\core\\typed_passes.py:83\u001b[0m, in \u001b[0;36mtype_inference_stage\u001b[1;34m(typingctx, targetctx, interp, args, return_type, locals, raise_errors)\u001b[0m\n\u001b[0;32m     81\u001b[0m     infer\u001b[39m.\u001b[39mbuild_constraint()\n\u001b[0;32m     82\u001b[0m     \u001b[39m# return errors in case of partial typing\u001b[39;00m\n\u001b[1;32m---> 83\u001b[0m     errs \u001b[39m=\u001b[39m infer\u001b[39m.\u001b[39;49mpropagate(raise_errors\u001b[39m=\u001b[39;49mraise_errors)\n\u001b[0;32m     84\u001b[0m     typemap, restype, calltypes \u001b[39m=\u001b[39m infer\u001b[39m.\u001b[39munify(raise_errors\u001b[39m=\u001b[39mraise_errors)\n\u001b[0;32m     86\u001b[0m \u001b[39m# Output all Numba warnings\u001b[39;00m\n",
      "File \u001b[1;32mf:\\Anaconda\\Anaconda\\envs\\MFEA\\lib\\site-packages\\numba\\core\\typeinfer.py:1078\u001b[0m, in \u001b[0;36mTypeInferer.propagate\u001b[1;34m(self, raise_errors)\u001b[0m\n\u001b[0;32m   1075\u001b[0m oldtoken \u001b[39m=\u001b[39m newtoken\n\u001b[0;32m   1076\u001b[0m \u001b[39m# Errors can appear when the type set is incomplete; only\u001b[39;00m\n\u001b[0;32m   1077\u001b[0m \u001b[39m# raise them when there is no progress anymore.\u001b[39;00m\n\u001b[1;32m-> 1078\u001b[0m errors \u001b[39m=\u001b[39m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mconstraints\u001b[39m.\u001b[39;49mpropagate(\u001b[39mself\u001b[39;49m)\n\u001b[0;32m   1079\u001b[0m newtoken \u001b[39m=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mget_state_token()\n\u001b[0;32m   1080\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mdebug\u001b[39m.\u001b[39mpropagate_finished()\n",
      "File \u001b[1;32mf:\\Anaconda\\Anaconda\\envs\\MFEA\\lib\\site-packages\\numba\\core\\typeinfer.py:155\u001b[0m, in \u001b[0;36mConstraintNetwork.propagate\u001b[1;34m(self, typeinfer)\u001b[0m\n\u001b[0;32m    152\u001b[0m \u001b[39mwith\u001b[39;00m typeinfer\u001b[39m.\u001b[39mwarnings\u001b[39m.\u001b[39mcatch_warnings(filename\u001b[39m=\u001b[39mloc\u001b[39m.\u001b[39mfilename,\n\u001b[0;32m    153\u001b[0m                                        lineno\u001b[39m=\u001b[39mloc\u001b[39m.\u001b[39mline):\n\u001b[0;32m    154\u001b[0m     \u001b[39mtry\u001b[39;00m:\n\u001b[1;32m--> 155\u001b[0m         constraint(typeinfer)\n\u001b[0;32m    156\u001b[0m     \u001b[39mexcept\u001b[39;00m ForceLiteralArg \u001b[39mas\u001b[39;00m e:\n\u001b[0;32m    157\u001b[0m         errors\u001b[39m.\u001b[39mappend(e)\n",
      "File \u001b[1;32mf:\\Anaconda\\Anaconda\\envs\\MFEA\\lib\\site-packages\\numba\\core\\typeinfer.py:578\u001b[0m, in \u001b[0;36mCallConstraint.__call__\u001b[1;34m(self, typeinfer)\u001b[0m\n\u001b[0;32m    576\u001b[0m     fnty \u001b[39m=\u001b[39m typevars[\u001b[39mself\u001b[39m\u001b[39m.\u001b[39mfunc]\u001b[39m.\u001b[39mgetone()\n\u001b[0;32m    577\u001b[0m \u001b[39mwith\u001b[39;00m new_error_context(\u001b[39m\"\u001b[39m\u001b[39mresolving callee type: \u001b[39m\u001b[39m{0}\u001b[39;00m\u001b[39m\"\u001b[39m, fnty):\n\u001b[1;32m--> 578\u001b[0m     \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mresolve(typeinfer, typevars, fnty)\n",
      "File \u001b[1;32mf:\\Anaconda\\Anaconda\\envs\\MFEA\\lib\\site-packages\\numba\\core\\typeinfer.py:601\u001b[0m, in \u001b[0;36mCallConstraint.resolve\u001b[1;34m(self, typeinfer, typevars, fnty)\u001b[0m\n\u001b[0;32m    599\u001b[0m     fnty \u001b[39m=\u001b[39m fnty\u001b[39m.\u001b[39minstance_type\n\u001b[0;32m    600\u001b[0m \u001b[39mtry\u001b[39;00m:\n\u001b[1;32m--> 601\u001b[0m     sig \u001b[39m=\u001b[39m typeinfer\u001b[39m.\u001b[39;49mresolve_call(fnty, pos_args, kw_args)\n\u001b[0;32m    602\u001b[0m \u001b[39mexcept\u001b[39;00m ForceLiteralArg \u001b[39mas\u001b[39;00m e:\n\u001b[0;32m    603\u001b[0m     \u001b[39m# Adjust for bound methods\u001b[39;00m\n\u001b[0;32m    604\u001b[0m     folding_args \u001b[39m=\u001b[39m ((fnty\u001b[39m.\u001b[39mthis,) \u001b[39m+\u001b[39m \u001b[39mtuple\u001b[39m(\u001b[39mself\u001b[39m\u001b[39m.\u001b[39margs)\n\u001b[0;32m    605\u001b[0m                     \u001b[39mif\u001b[39;00m \u001b[39misinstance\u001b[39m(fnty, types\u001b[39m.\u001b[39mBoundFunction)\n\u001b[0;32m    606\u001b[0m                     \u001b[39melse\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39margs)\n",
      "File \u001b[1;32mf:\\Anaconda\\Anaconda\\envs\\MFEA\\lib\\site-packages\\numba\\core\\typeinfer.py:1555\u001b[0m, in \u001b[0;36mTypeInferer.resolve_call\u001b[1;34m(self, fnty, pos_args, kw_args)\u001b[0m\n\u001b[0;32m   1552\u001b[0m     \u001b[39mreturn\u001b[39;00m sig\n\u001b[0;32m   1553\u001b[0m \u001b[39melse\u001b[39;00m:\n\u001b[0;32m   1554\u001b[0m     \u001b[39m# Normal non-recursive call\u001b[39;00m\n\u001b[1;32m-> 1555\u001b[0m     \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mcontext\u001b[39m.\u001b[39;49mresolve_function_type(fnty, pos_args, kw_args)\n",
      "File \u001b[1;32mf:\\Anaconda\\Anaconda\\envs\\MFEA\\lib\\site-packages\\numba\\core\\typing\\context.py:196\u001b[0m, in \u001b[0;36mBaseContext.resolve_function_type\u001b[1;34m(self, func, args, kws)\u001b[0m\n\u001b[0;32m    194\u001b[0m \u001b[39m# Prefer user definition first\u001b[39;00m\n\u001b[0;32m    195\u001b[0m \u001b[39mtry\u001b[39;00m:\n\u001b[1;32m--> 196\u001b[0m     res \u001b[39m=\u001b[39m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_resolve_user_function_type(func, args, kws)\n\u001b[0;32m    197\u001b[0m \u001b[39mexcept\u001b[39;00m errors\u001b[39m.\u001b[39mTypingError \u001b[39mas\u001b[39;00m e:\n\u001b[0;32m    198\u001b[0m     \u001b[39m# Capture any typing error\u001b[39;00m\n\u001b[0;32m    199\u001b[0m     last_exception \u001b[39m=\u001b[39m e\n",
      "File \u001b[1;32mf:\\Anaconda\\Anaconda\\envs\\MFEA\\lib\\site-packages\\numba\\core\\typing\\context.py:248\u001b[0m, in \u001b[0;36mBaseContext._resolve_user_function_type\u001b[1;34m(self, func, args, kws, literals)\u001b[0m\n\u001b[0;32m    244\u001b[0m         \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mresolve_function_type(func_type, args, kws)\n\u001b[0;32m    246\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39misinstance\u001b[39m(func, types\u001b[39m.\u001b[39mCallable):\n\u001b[0;32m    247\u001b[0m     \u001b[39m# XXX fold this into the __call__ attribute logic?\u001b[39;00m\n\u001b[1;32m--> 248\u001b[0m     \u001b[39mreturn\u001b[39;00m func\u001b[39m.\u001b[39;49mget_call_type(\u001b[39mself\u001b[39;49m, args, kws)\n",
      "File \u001b[1;32mf:\\Anaconda\\Anaconda\\envs\\MFEA\\lib\\site-packages\\numba\\core\\types\\functions.py:308\u001b[0m, in \u001b[0;36mBaseFunction.get_call_type\u001b[1;34m(self, context, args, kws)\u001b[0m\n\u001b[0;32m    305\u001b[0m         nolitargs \u001b[39m=\u001b[39m \u001b[39mtuple\u001b[39m([_unlit_non_poison(a) \u001b[39mfor\u001b[39;00m a \u001b[39min\u001b[39;00m args])\n\u001b[0;32m    306\u001b[0m         nolitkws \u001b[39m=\u001b[39m {k: _unlit_non_poison(v)\n\u001b[0;32m    307\u001b[0m                     \u001b[39mfor\u001b[39;00m k, v \u001b[39min\u001b[39;00m kws\u001b[39m.\u001b[39mitems()}\n\u001b[1;32m--> 308\u001b[0m         sig \u001b[39m=\u001b[39m temp\u001b[39m.\u001b[39;49mapply(nolitargs, nolitkws)\n\u001b[0;32m    309\u001b[0m \u001b[39mexcept\u001b[39;00m \u001b[39mException\u001b[39;00m \u001b[39mas\u001b[39;00m e:\n\u001b[0;32m    310\u001b[0m     \u001b[39mif\u001b[39;00m (utils\u001b[39m.\u001b[39muse_new_style_errors() \u001b[39mand\u001b[39;00m \u001b[39mnot\u001b[39;00m\n\u001b[0;32m    311\u001b[0m             \u001b[39misinstance\u001b[39m(e, errors\u001b[39m.\u001b[39mNumbaError)):\n",
      "File \u001b[1;32mf:\\Anaconda\\Anaconda\\envs\\MFEA\\lib\\site-packages\\numba\\core\\typing\\templates.py:351\u001b[0m, in \u001b[0;36mAbstractTemplate.apply\u001b[1;34m(self, args, kws)\u001b[0m\n\u001b[0;32m    349\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39mapply\u001b[39m(\u001b[39mself\u001b[39m, args, kws):\n\u001b[0;32m    350\u001b[0m     generic \u001b[39m=\u001b[39m \u001b[39mgetattr\u001b[39m(\u001b[39mself\u001b[39m, \u001b[39m\"\u001b[39m\u001b[39mgeneric\u001b[39m\u001b[39m\"\u001b[39m)\n\u001b[1;32m--> 351\u001b[0m     sig \u001b[39m=\u001b[39m generic(args, kws)\n\u001b[0;32m    352\u001b[0m     \u001b[39m# Enforce that *generic()* must return None or Signature\u001b[39;00m\n\u001b[0;32m    353\u001b[0m     \u001b[39mif\u001b[39;00m sig \u001b[39mis\u001b[39;00m \u001b[39mnot\u001b[39;00m \u001b[39mNone\u001b[39;00m:\n",
      "File \u001b[1;32mf:\\Anaconda\\Anaconda\\envs\\MFEA\\lib\\site-packages\\numba\\core\\typing\\templates.py:614\u001b[0m, in \u001b[0;36m_OverloadFunctionTemplate.generic\u001b[1;34m(self, args, kws)\u001b[0m\n\u001b[0;32m    608\u001b[0m \u001b[39m\u001b[39m\u001b[39m\"\"\"\u001b[39;00m\n\u001b[0;32m    609\u001b[0m \u001b[39mType the overloaded function by compiling the appropriate\u001b[39;00m\n\u001b[0;32m    610\u001b[0m \u001b[39mimplementation for the given args.\u001b[39;00m\n\u001b[0;32m    611\u001b[0m \u001b[39m\"\"\"\u001b[39;00m\n\u001b[0;32m    612\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39mnumba\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mcore\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mtyped_passes\u001b[39;00m \u001b[39mimport\u001b[39;00m PreLowerStripPhis\n\u001b[1;32m--> 614\u001b[0m disp, new_args \u001b[39m=\u001b[39m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_get_impl(args, kws)\n\u001b[0;32m    615\u001b[0m \u001b[39mif\u001b[39;00m disp \u001b[39mis\u001b[39;00m \u001b[39mNone\u001b[39;00m:\n\u001b[0;32m    616\u001b[0m     \u001b[39mreturn\u001b[39;00m\n",
      "File \u001b[1;32mf:\\Anaconda\\Anaconda\\envs\\MFEA\\lib\\site-packages\\numba\\core\\typing\\templates.py:713\u001b[0m, in \u001b[0;36m_OverloadFunctionTemplate._get_impl\u001b[1;34m(self, args, kws)\u001b[0m\n\u001b[0;32m    709\u001b[0m \u001b[39mexcept\u001b[39;00m \u001b[39mKeyError\u001b[39;00m:\n\u001b[0;32m    710\u001b[0m     \u001b[39m# pass and try outside the scope so as to not have KeyError with a\u001b[39;00m\n\u001b[0;32m    711\u001b[0m     \u001b[39m# nested addition error in the case the _build_impl fails\u001b[39;00m\n\u001b[0;32m    712\u001b[0m     \u001b[39mpass\u001b[39;00m\n\u001b[1;32m--> 713\u001b[0m impl, args \u001b[39m=\u001b[39m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_build_impl(cache_key, args, kws)\n\u001b[0;32m    714\u001b[0m \u001b[39mreturn\u001b[39;00m impl, args\n",
      "File \u001b[1;32mf:\\Anaconda\\Anaconda\\envs\\MFEA\\lib\\site-packages\\numba\\core\\typing\\templates.py:824\u001b[0m, in \u001b[0;36m_OverloadFunctionTemplate._build_impl\u001b[1;34m(self, cache_key, args, kws)\u001b[0m\n\u001b[0;32m    822\u001b[0m \u001b[39m# Make sure that the implementation can be fully compiled\u001b[39;00m\n\u001b[0;32m    823\u001b[0m disp_type \u001b[39m=\u001b[39m types\u001b[39m.\u001b[39mDispatcher(disp)\n\u001b[1;32m--> 824\u001b[0m disp_type\u001b[39m.\u001b[39;49mget_call_type(\u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mcontext, args, kws)\n\u001b[0;32m    825\u001b[0m \u001b[39mif\u001b[39;00m cache_key \u001b[39mis\u001b[39;00m \u001b[39mnot\u001b[39;00m \u001b[39mNone\u001b[39;00m:\n\u001b[0;32m    826\u001b[0m     \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_impl_cache[cache_key] \u001b[39m=\u001b[39m disp, args\n",
      "File \u001b[1;32mf:\\Anaconda\\Anaconda\\envs\\MFEA\\lib\\site-packages\\numba\\core\\types\\functions.py:541\u001b[0m, in \u001b[0;36mDispatcher.get_call_type\u001b[1;34m(self, context, args, kws)\u001b[0m\n\u001b[0;32m    534\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39mget_call_type\u001b[39m(\u001b[39mself\u001b[39m, context, args, kws):\n\u001b[0;32m    535\u001b[0m \u001b[39m    \u001b[39m\u001b[39m\"\"\"\u001b[39;00m\n\u001b[0;32m    536\u001b[0m \u001b[39m    Resolve a call to this dispatcher using the given argument types.\u001b[39;00m\n\u001b[0;32m    537\u001b[0m \u001b[39m    A signature returned and it is ensured that a compiled specialization\u001b[39;00m\n\u001b[0;32m    538\u001b[0m \u001b[39m    is available for it.\u001b[39;00m\n\u001b[0;32m    539\u001b[0m \u001b[39m    \"\"\"\u001b[39;00m\n\u001b[0;32m    540\u001b[0m     template, pysig, args, kws \u001b[39m=\u001b[39m \\\n\u001b[1;32m--> 541\u001b[0m         \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mdispatcher\u001b[39m.\u001b[39;49mget_call_template(args, kws)\n\u001b[0;32m    542\u001b[0m     sig \u001b[39m=\u001b[39m template(context)\u001b[39m.\u001b[39mapply(args, kws)\n\u001b[0;32m    543\u001b[0m     \u001b[39mif\u001b[39;00m sig:\n",
      "File \u001b[1;32mf:\\Anaconda\\Anaconda\\envs\\MFEA\\lib\\site-packages\\numba\\core\\dispatcher.py:363\u001b[0m, in \u001b[0;36m_DispatcherBase.get_call_template\u001b[1;34m(self, args, kws)\u001b[0m\n\u001b[0;32m    361\u001b[0m \u001b[39m# Ensure an overload is available\u001b[39;00m\n\u001b[0;32m    362\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_can_compile:\n\u001b[1;32m--> 363\u001b[0m     \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mcompile(\u001b[39mtuple\u001b[39;49m(args))\n\u001b[0;32m    365\u001b[0m \u001b[39m# Create function type for typing\u001b[39;00m\n\u001b[0;32m    366\u001b[0m func_name \u001b[39m=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mpy_func\u001b[39m.\u001b[39m\u001b[39m__name__\u001b[39m\n",
      "File \u001b[1;32mf:\\Anaconda\\Anaconda\\envs\\MFEA\\lib\\site-packages\\numba\\core\\dispatcher.py:965\u001b[0m, in \u001b[0;36mDispatcher.compile\u001b[1;34m(self, sig)\u001b[0m\n\u001b[0;32m    963\u001b[0m \u001b[39mwith\u001b[39;00m ev\u001b[39m.\u001b[39mtrigger_event(\u001b[39m\"\u001b[39m\u001b[39mnumba:compile\u001b[39m\u001b[39m\"\u001b[39m, data\u001b[39m=\u001b[39mev_details):\n\u001b[0;32m    964\u001b[0m     \u001b[39mtry\u001b[39;00m:\n\u001b[1;32m--> 965\u001b[0m         cres \u001b[39m=\u001b[39m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_compiler\u001b[39m.\u001b[39;49mcompile(args, return_type)\n\u001b[0;32m    966\u001b[0m     \u001b[39mexcept\u001b[39;00m errors\u001b[39m.\u001b[39mForceLiteralArg \u001b[39mas\u001b[39;00m e:\n\u001b[0;32m    967\u001b[0m         \u001b[39mdef\u001b[39;00m \u001b[39mfolded\u001b[39m(args, kws):\n",
      "File \u001b[1;32mf:\\Anaconda\\Anaconda\\envs\\MFEA\\lib\\site-packages\\numba\\core\\dispatcher.py:125\u001b[0m, in \u001b[0;36m_FunctionCompiler.compile\u001b[1;34m(self, args, return_type)\u001b[0m\n\u001b[0;32m    124\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39mcompile\u001b[39m(\u001b[39mself\u001b[39m, args, return_type):\n\u001b[1;32m--> 125\u001b[0m     status, retval \u001b[39m=\u001b[39m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_compile_cached(args, return_type)\n\u001b[0;32m    126\u001b[0m     \u001b[39mif\u001b[39;00m status:\n\u001b[0;32m    127\u001b[0m         \u001b[39mreturn\u001b[39;00m retval\n",
      "File \u001b[1;32mf:\\Anaconda\\Anaconda\\envs\\MFEA\\lib\\site-packages\\numba\\core\\dispatcher.py:139\u001b[0m, in \u001b[0;36m_FunctionCompiler._compile_cached\u001b[1;34m(self, args, return_type)\u001b[0m\n\u001b[0;32m    136\u001b[0m     \u001b[39mpass\u001b[39;00m\n\u001b[0;32m    138\u001b[0m \u001b[39mtry\u001b[39;00m:\n\u001b[1;32m--> 139\u001b[0m     retval \u001b[39m=\u001b[39m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_compile_core(args, return_type)\n\u001b[0;32m    140\u001b[0m \u001b[39mexcept\u001b[39;00m errors\u001b[39m.\u001b[39mTypingError \u001b[39mas\u001b[39;00m e:\n\u001b[0;32m    141\u001b[0m     \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_failed_cache[key] \u001b[39m=\u001b[39m e\n",
      "File \u001b[1;32mf:\\Anaconda\\Anaconda\\envs\\MFEA\\lib\\site-packages\\numba\\core\\dispatcher.py:152\u001b[0m, in \u001b[0;36m_FunctionCompiler._compile_core\u001b[1;34m(self, args, return_type)\u001b[0m\n\u001b[0;32m    149\u001b[0m flags \u001b[39m=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_customize_flags(flags)\n\u001b[0;32m    151\u001b[0m impl \u001b[39m=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_get_implementation(args, {})\n\u001b[1;32m--> 152\u001b[0m cres \u001b[39m=\u001b[39m compiler\u001b[39m.\u001b[39;49mcompile_extra(\u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mtargetdescr\u001b[39m.\u001b[39;49mtyping_context,\n\u001b[0;32m    153\u001b[0m                               \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mtargetdescr\u001b[39m.\u001b[39;49mtarget_context,\n\u001b[0;32m    154\u001b[0m                               impl,\n\u001b[0;32m    155\u001b[0m                               args\u001b[39m=\u001b[39;49margs, return_type\u001b[39m=\u001b[39;49mreturn_type,\n\u001b[0;32m    156\u001b[0m                               flags\u001b[39m=\u001b[39;49mflags, \u001b[39mlocals\u001b[39;49m\u001b[39m=\u001b[39;49m\u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mlocals,\n\u001b[0;32m    157\u001b[0m                               pipeline_class\u001b[39m=\u001b[39;49m\u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mpipeline_class)\n\u001b[0;32m    158\u001b[0m \u001b[39m# Check typing error if object mode is used\u001b[39;00m\n\u001b[0;32m    159\u001b[0m \u001b[39mif\u001b[39;00m cres\u001b[39m.\u001b[39mtyping_error \u001b[39mis\u001b[39;00m \u001b[39mnot\u001b[39;00m \u001b[39mNone\u001b[39;00m \u001b[39mand\u001b[39;00m \u001b[39mnot\u001b[39;00m flags\u001b[39m.\u001b[39menable_pyobject:\n",
      "File \u001b[1;32mf:\\Anaconda\\Anaconda\\envs\\MFEA\\lib\\site-packages\\numba\\core\\compiler.py:716\u001b[0m, in \u001b[0;36mcompile_extra\u001b[1;34m(typingctx, targetctx, func, args, return_type, flags, locals, library, pipeline_class)\u001b[0m\n\u001b[0;32m    692\u001b[0m \u001b[39m\u001b[39m\u001b[39m\"\"\"Compiler entry point\u001b[39;00m\n\u001b[0;32m    693\u001b[0m \n\u001b[0;32m    694\u001b[0m \u001b[39mParameter\u001b[39;00m\n\u001b[1;32m   (...)\u001b[0m\n\u001b[0;32m    712\u001b[0m \u001b[39m    compiler pipeline\u001b[39;00m\n\u001b[0;32m    713\u001b[0m \u001b[39m\"\"\"\u001b[39;00m\n\u001b[0;32m    714\u001b[0m pipeline \u001b[39m=\u001b[39m pipeline_class(typingctx, targetctx, library,\n\u001b[0;32m    715\u001b[0m                           args, return_type, flags, \u001b[39mlocals\u001b[39m)\n\u001b[1;32m--> 716\u001b[0m \u001b[39mreturn\u001b[39;00m pipeline\u001b[39m.\u001b[39;49mcompile_extra(func)\n",
      "File \u001b[1;32mf:\\Anaconda\\Anaconda\\envs\\MFEA\\lib\\site-packages\\numba\\core\\compiler.py:452\u001b[0m, in \u001b[0;36mCompilerBase.compile_extra\u001b[1;34m(self, func)\u001b[0m\n\u001b[0;32m    450\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mstate\u001b[39m.\u001b[39mlifted \u001b[39m=\u001b[39m ()\n\u001b[0;32m    451\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mstate\u001b[39m.\u001b[39mlifted_from \u001b[39m=\u001b[39m \u001b[39mNone\u001b[39;00m\n\u001b[1;32m--> 452\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_compile_bytecode()\n",
      "File \u001b[1;32mf:\\Anaconda\\Anaconda\\envs\\MFEA\\lib\\site-packages\\numba\\core\\compiler.py:520\u001b[0m, in \u001b[0;36mCompilerBase._compile_bytecode\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m    516\u001b[0m \u001b[39m\u001b[39m\u001b[39m\"\"\"\u001b[39;00m\n\u001b[0;32m    517\u001b[0m \u001b[39mPopulate and run pipeline for bytecode input\u001b[39;00m\n\u001b[0;32m    518\u001b[0m \u001b[39m\"\"\"\u001b[39;00m\n\u001b[0;32m    519\u001b[0m \u001b[39massert\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mstate\u001b[39m.\u001b[39mfunc_ir \u001b[39mis\u001b[39;00m \u001b[39mNone\u001b[39;00m\n\u001b[1;32m--> 520\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_compile_core()\n",
      "File \u001b[1;32mf:\\Anaconda\\Anaconda\\envs\\MFEA\\lib\\site-packages\\numba\\core\\compiler.py:486\u001b[0m, in \u001b[0;36mCompilerBase._compile_core\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m    484\u001b[0m res \u001b[39m=\u001b[39m \u001b[39mNone\u001b[39;00m\n\u001b[0;32m    485\u001b[0m \u001b[39mtry\u001b[39;00m:\n\u001b[1;32m--> 486\u001b[0m     pm\u001b[39m.\u001b[39;49mrun(\u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mstate)\n\u001b[0;32m    487\u001b[0m     \u001b[39mif\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mstate\u001b[39m.\u001b[39mcr \u001b[39mis\u001b[39;00m \u001b[39mnot\u001b[39;00m \u001b[39mNone\u001b[39;00m:\n\u001b[0;32m    488\u001b[0m         \u001b[39mbreak\u001b[39;00m\n",
      "File \u001b[1;32mf:\\Anaconda\\Anaconda\\envs\\MFEA\\lib\\site-packages\\numba\\core\\compiler_machinery.py:356\u001b[0m, in \u001b[0;36mPassManager.run\u001b[1;34m(self, state)\u001b[0m\n\u001b[0;32m    354\u001b[0m pass_inst \u001b[39m=\u001b[39m _pass_registry\u001b[39m.\u001b[39mget(pss)\u001b[39m.\u001b[39mpass_inst\n\u001b[0;32m    355\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39misinstance\u001b[39m(pass_inst, CompilerPass):\n\u001b[1;32m--> 356\u001b[0m     \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_runPass(idx, pass_inst, state)\n\u001b[0;32m    357\u001b[0m \u001b[39melse\u001b[39;00m:\n\u001b[0;32m    358\u001b[0m     \u001b[39mraise\u001b[39;00m \u001b[39mBaseException\u001b[39;00m(\u001b[39m\"\u001b[39m\u001b[39mLegacy pass in use\u001b[39m\u001b[39m\"\u001b[39m)\n",
      "File \u001b[1;32mf:\\Anaconda\\Anaconda\\envs\\MFEA\\lib\\site-packages\\numba\\core\\compiler_lock.py:35\u001b[0m, in \u001b[0;36m_CompilerLock.__call__.<locals>._acquire_compile_lock\u001b[1;34m(*args, **kwargs)\u001b[0m\n\u001b[0;32m     32\u001b[0m \u001b[39m@functools\u001b[39m\u001b[39m.\u001b[39mwraps(func)\n\u001b[0;32m     33\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39m_acquire_compile_lock\u001b[39m(\u001b[39m*\u001b[39margs, \u001b[39m*\u001b[39m\u001b[39m*\u001b[39mkwargs):\n\u001b[0;32m     34\u001b[0m     \u001b[39mwith\u001b[39;00m \u001b[39mself\u001b[39m:\n\u001b[1;32m---> 35\u001b[0m         \u001b[39mreturn\u001b[39;00m func(\u001b[39m*\u001b[39;49margs, \u001b[39m*\u001b[39;49m\u001b[39m*\u001b[39;49mkwargs)\n",
      "File \u001b[1;32mf:\\Anaconda\\Anaconda\\envs\\MFEA\\lib\\site-packages\\numba\\core\\compiler_machinery.py:311\u001b[0m, in \u001b[0;36mPassManager._runPass\u001b[1;34m(self, index, pss, internal_state)\u001b[0m\n\u001b[0;32m    309\u001b[0m     mutated \u001b[39m|\u001b[39m\u001b[39m=\u001b[39m check(pss\u001b[39m.\u001b[39mrun_initialization, internal_state)\n\u001b[0;32m    310\u001b[0m \u001b[39mwith\u001b[39;00m SimpleTimer() \u001b[39mas\u001b[39;00m pass_time:\n\u001b[1;32m--> 311\u001b[0m     mutated \u001b[39m|\u001b[39m\u001b[39m=\u001b[39m check(pss\u001b[39m.\u001b[39;49mrun_pass, internal_state)\n\u001b[0;32m    312\u001b[0m \u001b[39mwith\u001b[39;00m SimpleTimer() \u001b[39mas\u001b[39;00m finalize_time:\n\u001b[0;32m    313\u001b[0m     mutated \u001b[39m|\u001b[39m\u001b[39m=\u001b[39m check(pss\u001b[39m.\u001b[39mrun_finalizer, internal_state)\n",
      "File \u001b[1;32mf:\\Anaconda\\Anaconda\\envs\\MFEA\\lib\\site-packages\\numba\\core\\compiler_machinery.py:273\u001b[0m, in \u001b[0;36mPassManager._runPass.<locals>.check\u001b[1;34m(func, compiler_state)\u001b[0m\n\u001b[0;32m    272\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39mcheck\u001b[39m(func, compiler_state):\n\u001b[1;32m--> 273\u001b[0m     mangled \u001b[39m=\u001b[39m func(compiler_state)\n\u001b[0;32m    274\u001b[0m     \u001b[39mif\u001b[39;00m mangled \u001b[39mnot\u001b[39;00m \u001b[39min\u001b[39;00m (\u001b[39mTrue\u001b[39;00m, \u001b[39mFalse\u001b[39;00m):\n\u001b[0;32m    275\u001b[0m         msg \u001b[39m=\u001b[39m (\u001b[39m\"\u001b[39m\u001b[39mCompilerPass implementations should return True/False. \u001b[39m\u001b[39m\"\u001b[39m\n\u001b[0;32m    276\u001b[0m                \u001b[39m\"\u001b[39m\u001b[39mCompilerPass with name \u001b[39m\u001b[39m'\u001b[39m\u001b[39m%s\u001b[39;00m\u001b[39m'\u001b[39m\u001b[39m did not.\u001b[39m\u001b[39m\"\u001b[39m)\n",
      "File \u001b[1;32mf:\\Anaconda\\Anaconda\\envs\\MFEA\\lib\\site-packages\\numba\\core\\typed_passes.py:394\u001b[0m, in \u001b[0;36mNativeLowering.run_pass\u001b[1;34m(self, state)\u001b[0m\n\u001b[0;32m    391\u001b[0m \u001b[39mwith\u001b[39;00m targetctx\u001b[39m.\u001b[39mpush_code_library(library):\n\u001b[0;32m    392\u001b[0m     lower \u001b[39m=\u001b[39m lowering\u001b[39m.\u001b[39mLower(targetctx, library, fndesc, interp,\n\u001b[0;32m    393\u001b[0m                            metadata\u001b[39m=\u001b[39mmetadata)\n\u001b[1;32m--> 394\u001b[0m     lower\u001b[39m.\u001b[39;49mlower()\n\u001b[0;32m    395\u001b[0m     \u001b[39mif\u001b[39;00m \u001b[39mnot\u001b[39;00m flags\u001b[39m.\u001b[39mno_cpython_wrapper:\n\u001b[0;32m    396\u001b[0m         lower\u001b[39m.\u001b[39mcreate_cpython_wrapper(flags\u001b[39m.\u001b[39mrelease_gil)\n",
      "File \u001b[1;32mf:\\Anaconda\\Anaconda\\envs\\MFEA\\lib\\site-packages\\numba\\core\\lowering.py:168\u001b[0m, in \u001b[0;36mBaseLower.lower\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m    166\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mgenerator_info \u001b[39mis\u001b[39;00m \u001b[39mNone\u001b[39;00m:\n\u001b[0;32m    167\u001b[0m     \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mgenlower \u001b[39m=\u001b[39m \u001b[39mNone\u001b[39;00m\n\u001b[1;32m--> 168\u001b[0m     \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mlower_normal_function(\u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mfndesc)\n\u001b[0;32m    169\u001b[0m \u001b[39melse\u001b[39;00m:\n\u001b[0;32m    170\u001b[0m     \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mgenlower \u001b[39m=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mGeneratorLower(\u001b[39mself\u001b[39m)\n",
      "File \u001b[1;32mf:\\Anaconda\\Anaconda\\envs\\MFEA\\lib\\site-packages\\numba\\core\\lowering.py:222\u001b[0m, in \u001b[0;36mBaseLower.lower_normal_function\u001b[1;34m(self, fndesc)\u001b[0m\n\u001b[0;32m    220\u001b[0m \u001b[39m# Init argument values\u001b[39;00m\n\u001b[0;32m    221\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mextract_function_arguments()\n\u001b[1;32m--> 222\u001b[0m entry_block_tail \u001b[39m=\u001b[39m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mlower_function_body()\n\u001b[0;32m    224\u001b[0m \u001b[39m# Close tail of entry block, do not emit debug metadata else the\u001b[39;00m\n\u001b[0;32m    225\u001b[0m \u001b[39m# unconditional jump gets associated with the metadata from the function\u001b[39;00m\n\u001b[0;32m    226\u001b[0m \u001b[39m# body end.\u001b[39;00m\n\u001b[0;32m    227\u001b[0m \u001b[39mwith\u001b[39;00m debuginfo\u001b[39m.\u001b[39msuspend_emission(\u001b[39mself\u001b[39m\u001b[39m.\u001b[39mbuilder):\n",
      "File \u001b[1;32mf:\\Anaconda\\Anaconda\\envs\\MFEA\\lib\\site-packages\\numba\\core\\lowering.py:251\u001b[0m, in \u001b[0;36mBaseLower.lower_function_body\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m    249\u001b[0m     bb \u001b[39m=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mblkmap[offset]\n\u001b[0;32m    250\u001b[0m     \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mbuilder\u001b[39m.\u001b[39mposition_at_end(bb)\n\u001b[1;32m--> 251\u001b[0m     \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mlower_block(block)\n\u001b[0;32m    252\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mpost_lower()\n\u001b[0;32m    253\u001b[0m \u001b[39mreturn\u001b[39;00m entry_block_tail\n",
      "File \u001b[1;32mf:\\Anaconda\\Anaconda\\envs\\MFEA\\lib\\site-packages\\numba\\core\\lowering.py:265\u001b[0m, in \u001b[0;36mBaseLower.lower_block\u001b[1;34m(self, block)\u001b[0m\n\u001b[0;32m    262\u001b[0m     defaulterrcls \u001b[39m=\u001b[39m partial(LoweringError, loc\u001b[39m=\u001b[39m\u001b[39mself\u001b[39m\u001b[39m.\u001b[39mloc)\n\u001b[0;32m    263\u001b[0m     \u001b[39mwith\u001b[39;00m new_error_context(\u001b[39m'\u001b[39m\u001b[39mlowering \u001b[39m\u001b[39m\"\u001b[39m\u001b[39m{inst}\u001b[39;00m\u001b[39m\"\u001b[39m\u001b[39m at \u001b[39m\u001b[39m{loc}\u001b[39;00m\u001b[39m'\u001b[39m, inst\u001b[39m=\u001b[39minst,\n\u001b[0;32m    264\u001b[0m                            loc\u001b[39m=\u001b[39m\u001b[39mself\u001b[39m\u001b[39m.\u001b[39mloc, errcls_\u001b[39m=\u001b[39mdefaulterrcls):\n\u001b[1;32m--> 265\u001b[0m         \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mlower_inst(inst)\n\u001b[0;32m    266\u001b[0m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mpost_block(block)\n",
      "File \u001b[1;32mf:\\Anaconda\\Anaconda\\envs\\MFEA\\lib\\site-packages\\numba\\core\\lowering.py:439\u001b[0m, in \u001b[0;36mLower.lower_inst\u001b[1;34m(self, inst)\u001b[0m\n\u001b[0;32m    437\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39misinstance\u001b[39m(inst, ir\u001b[39m.\u001b[39mAssign):\n\u001b[0;32m    438\u001b[0m     ty \u001b[39m=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mtypeof(inst\u001b[39m.\u001b[39mtarget\u001b[39m.\u001b[39mname)\n\u001b[1;32m--> 439\u001b[0m     val \u001b[39m=\u001b[39m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mlower_assign(ty, inst)\n\u001b[0;32m    440\u001b[0m     argidx \u001b[39m=\u001b[39m \u001b[39mNone\u001b[39;00m\n\u001b[0;32m    441\u001b[0m     \u001b[39m# If this is a store from an arg, like x = arg.x then tell debuginfo\u001b[39;00m\n\u001b[0;32m    442\u001b[0m     \u001b[39m# that this is the arg\u001b[39;00m\n",
      "File \u001b[1;32mf:\\Anaconda\\Anaconda\\envs\\MFEA\\lib\\site-packages\\numba\\core\\lowering.py:626\u001b[0m, in \u001b[0;36mLower.lower_assign\u001b[1;34m(self, ty, inst)\u001b[0m\n\u001b[0;32m    623\u001b[0m     \u001b[39mreturn\u001b[39;00m res\n\u001b[0;32m    625\u001b[0m \u001b[39melif\u001b[39;00m \u001b[39misinstance\u001b[39m(value, ir\u001b[39m.\u001b[39mExpr):\n\u001b[1;32m--> 626\u001b[0m     \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mlower_expr(ty, value)\n\u001b[0;32m    628\u001b[0m \u001b[39melif\u001b[39;00m \u001b[39misinstance\u001b[39m(value, ir\u001b[39m.\u001b[39mVar):\n\u001b[0;32m    629\u001b[0m     val \u001b[39m=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mloadvar(value\u001b[39m.\u001b[39mname)\n",
      "File \u001b[1;32mf:\\Anaconda\\Anaconda\\envs\\MFEA\\lib\\site-packages\\numba\\core\\lowering.py:1138\u001b[0m, in \u001b[0;36mLower.lower_expr\u001b[1;34m(self, resty, expr)\u001b[0m\n\u001b[0;32m   1136\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39mlower_expr\u001b[39m(\u001b[39mself\u001b[39m, resty, expr):\n\u001b[0;32m   1137\u001b[0m     \u001b[39mif\u001b[39;00m expr\u001b[39m.\u001b[39mop \u001b[39m==\u001b[39m \u001b[39m'\u001b[39m\u001b[39mbinop\u001b[39m\u001b[39m'\u001b[39m:\n\u001b[1;32m-> 1138\u001b[0m         \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mlower_binop(resty, expr, expr\u001b[39m.\u001b[39;49mfn)\n\u001b[0;32m   1139\u001b[0m     \u001b[39melif\u001b[39;00m expr\u001b[39m.\u001b[39mop \u001b[39m==\u001b[39m \u001b[39m'\u001b[39m\u001b[39minplace_binop\u001b[39m\u001b[39m'\u001b[39m:\n\u001b[0;32m   1140\u001b[0m         lty \u001b[39m=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mtypeof(expr\u001b[39m.\u001b[39mlhs\u001b[39m.\u001b[39mname)\n",
      "File \u001b[1;32mf:\\Anaconda\\Anaconda\\envs\\MFEA\\lib\\site-packages\\numba\\core\\lowering.py:696\u001b[0m, in \u001b[0;36mLower.lower_binop\u001b[1;34m(self, resty, expr, op)\u001b[0m\n\u001b[0;32m    692\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39mlower_binop\u001b[39m(\u001b[39mself\u001b[39m, resty, expr, op):\n\u001b[0;32m    693\u001b[0m     \u001b[39m# if op in utils.OPERATORS_TO_BUILTINS:\u001b[39;00m\n\u001b[0;32m    694\u001b[0m     \u001b[39m# map operator.the_op => the corresponding types.Function()\u001b[39;00m\n\u001b[0;32m    695\u001b[0m     \u001b[39m# TODO: is this looks dodgy ...\u001b[39;00m\n\u001b[1;32m--> 696\u001b[0m     op \u001b[39m=\u001b[39m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mcontext\u001b[39m.\u001b[39;49mtyping_context\u001b[39m.\u001b[39;49mresolve_value_type(op)\n\u001b[0;32m    698\u001b[0m     lhs \u001b[39m=\u001b[39m expr\u001b[39m.\u001b[39mlhs\n\u001b[0;32m    699\u001b[0m     rhs \u001b[39m=\u001b[39m expr\u001b[39m.\u001b[39mrhs\n",
      "File \u001b[1;32mf:\\Anaconda\\Anaconda\\envs\\MFEA\\lib\\site-packages\\numba\\core\\typing\\context.py:381\u001b[0m, in \u001b[0;36mBaseContext.resolve_value_type\u001b[1;34m(self, val)\u001b[0m\n\u001b[0;32m    375\u001b[0m \u001b[39m\u001b[39m\u001b[39m\"\"\"\u001b[39;00m\n\u001b[0;32m    376\u001b[0m \u001b[39mReturn the numba type of a Python value that is being used\u001b[39;00m\n\u001b[0;32m    377\u001b[0m \u001b[39mas a runtime constant.\u001b[39;00m\n\u001b[0;32m    378\u001b[0m \u001b[39mValueError is raised for unsupported types.\u001b[39;00m\n\u001b[0;32m    379\u001b[0m \u001b[39m\"\"\"\u001b[39;00m\n\u001b[0;32m    380\u001b[0m \u001b[39mtry\u001b[39;00m:\n\u001b[1;32m--> 381\u001b[0m     ty \u001b[39m=\u001b[39m typeof(val, Purpose\u001b[39m.\u001b[39;49mconstant)\n\u001b[0;32m    382\u001b[0m \u001b[39mexcept\u001b[39;00m \u001b[39mValueError\u001b[39;00m \u001b[39mas\u001b[39;00m e:\n\u001b[0;32m    383\u001b[0m     \u001b[39m# Make sure the exception doesn't hold a reference to the user\u001b[39;00m\n\u001b[0;32m    384\u001b[0m     \u001b[39m# value.\u001b[39;00m\n\u001b[0;32m    385\u001b[0m     typeof_exc \u001b[39m=\u001b[39m utils\u001b[39m.\u001b[39merase_traceback(e)\n",
      "File \u001b[1;32mf:\\Anaconda\\Anaconda\\envs\\MFEA\\lib\\site-packages\\numba\\core\\typing\\typeof.py:40\u001b[0m, in \u001b[0;36mtypeof\u001b[1;34m(val, purpose)\u001b[0m\n\u001b[0;32m     38\u001b[0m ty \u001b[39m=\u001b[39m typeof_impl(val, c)\n\u001b[0;32m     39\u001b[0m \u001b[39mif\u001b[39;00m ty \u001b[39mis\u001b[39;00m \u001b[39mNone\u001b[39;00m:\n\u001b[1;32m---> 40\u001b[0m     msg \u001b[39m=\u001b[39m _termcolor\u001b[39m.\u001b[39;49merrmsg(\n\u001b[0;32m     41\u001b[0m         \u001b[39mf\u001b[39;49m\u001b[39m\"\u001b[39;49m\u001b[39mCannot determine Numba type of \u001b[39;49m\u001b[39m{\u001b[39;49;00m\u001b[39mtype\u001b[39;49m(val)\u001b[39m}\u001b[39;49;00m\u001b[39m\"\u001b[39;49m)\n\u001b[0;32m     42\u001b[0m     \u001b[39mraise\u001b[39;00m \u001b[39mValueError\u001b[39;00m(msg)\n\u001b[0;32m     43\u001b[0m \u001b[39mreturn\u001b[39;00m ty\n",
      "File \u001b[1;32mf:\\Anaconda\\Anaconda\\envs\\MFEA\\lib\\site-packages\\numba\\core\\errors.py:317\u001b[0m, in \u001b[0;36mHighlightColorScheme.errmsg\u001b[1;34m(self, msg)\u001b[0m\n\u001b[0;32m    316\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39merrmsg\u001b[39m(\u001b[39mself\u001b[39m, msg):\n\u001b[1;32m--> 317\u001b[0m     \u001b[39mreturn\u001b[39;00m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_markup(msg, \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49m_errmsg)\n",
      "File \u001b[1;32mf:\\Anaconda\\Anaconda\\envs\\MFEA\\lib\\site-packages\\numba\\core\\errors.py:307\u001b[0m, in \u001b[0;36mHighlightColorScheme._markup\u001b[1;34m(self, msg, color, style)\u001b[0m\n\u001b[0;32m    305\u001b[0m \u001b[39mif\u001b[39;00m style:\n\u001b[0;32m    306\u001b[0m     features \u001b[39m+\u001b[39m\u001b[39m=\u001b[39m style\n\u001b[1;32m--> 307\u001b[0m \u001b[39mwith\u001b[39;00m ColorShell():\n\u001b[0;32m    308\u001b[0m     \u001b[39mwith\u001b[39;00m reset_terminal() \u001b[39mas\u001b[39;00m mu:\n\u001b[0;32m    309\u001b[0m         mu \u001b[39m+\u001b[39m\u001b[39m=\u001b[39m features\u001b[39m.\u001b[39mencode(\u001b[39m'\u001b[39m\u001b[39mutf-8\u001b[39m\u001b[39m'\u001b[39m)\n",
      "File \u001b[1;32mf:\\Anaconda\\Anaconda\\envs\\MFEA\\lib\\site-packages\\numba\\core\\errors.py:225\u001b[0m, in \u001b[0;36mColorShell.__init__\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m    224\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39m__init__\u001b[39m(\u001b[39mself\u001b[39m):\n\u001b[1;32m--> 225\u001b[0m     init()\n\u001b[0;32m    226\u001b[0m     \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_has_initialized \u001b[39m=\u001b[39m \u001b[39mTrue\u001b[39;00m\n",
      "File \u001b[1;32mf:\\Anaconda\\Anaconda\\envs\\MFEA\\lib\\site-packages\\colorama\\initialise.py:52\u001b[0m, in \u001b[0;36minit\u001b[1;34m(autoreset, convert, strip, wrap)\u001b[0m\n\u001b[0;32m     49\u001b[0m     wrapped_stdout \u001b[39m=\u001b[39m \u001b[39mNone\u001b[39;00m\n\u001b[0;32m     50\u001b[0m \u001b[39melse\u001b[39;00m:\n\u001b[0;32m     51\u001b[0m     sys\u001b[39m.\u001b[39mstdout \u001b[39m=\u001b[39m wrapped_stdout \u001b[39m=\u001b[39m \\\n\u001b[1;32m---> 52\u001b[0m         wrap_stream(orig_stdout, convert, strip, autoreset, wrap)\n\u001b[0;32m     53\u001b[0m \u001b[39mif\u001b[39;00m sys\u001b[39m.\u001b[39mstderr \u001b[39mis\u001b[39;00m \u001b[39mNone\u001b[39;00m:\n\u001b[0;32m     54\u001b[0m     wrapped_stderr \u001b[39m=\u001b[39m \u001b[39mNone\u001b[39;00m\n",
      "File \u001b[1;32mf:\\Anaconda\\Anaconda\\envs\\MFEA\\lib\\site-packages\\colorama\\initialise.py:113\u001b[0m, in \u001b[0;36mwrap_stream\u001b[1;34m(stream, convert, strip, autoreset, wrap)\u001b[0m\n\u001b[0;32m    111\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39mwrap_stream\u001b[39m(stream, convert, strip, autoreset, wrap):\n\u001b[0;32m    112\u001b[0m     \u001b[39mif\u001b[39;00m wrap:\n\u001b[1;32m--> 113\u001b[0m         wrapper \u001b[39m=\u001b[39m AnsiToWin32(stream,\n\u001b[0;32m    114\u001b[0m             convert\u001b[39m=\u001b[39;49mconvert, strip\u001b[39m=\u001b[39;49mstrip, autoreset\u001b[39m=\u001b[39;49mautoreset)\n\u001b[0;32m    115\u001b[0m         \u001b[39mif\u001b[39;00m wrapper\u001b[39m.\u001b[39mshould_wrap():\n\u001b[0;32m    116\u001b[0m             stream \u001b[39m=\u001b[39m wrapper\u001b[39m.\u001b[39mstream\n",
      "File \u001b[1;32mf:\\Anaconda\\Anaconda\\envs\\MFEA\\lib\\site-packages\\colorama\\ansitowin32.py:96\u001b[0m, in \u001b[0;36mAnsiToWin32.__init__\u001b[1;34m(self, wrapped, convert, strip, autoreset)\u001b[0m\n\u001b[0;32m     91\u001b[0m on_windows \u001b[39m=\u001b[39m os\u001b[39m.\u001b[39mname \u001b[39m==\u001b[39m \u001b[39m'\u001b[39m\u001b[39mnt\u001b[39m\u001b[39m'\u001b[39m\n\u001b[0;32m     92\u001b[0m \u001b[39m# We test if the WinAPI works, because even if we are on Windows\u001b[39;00m\n\u001b[0;32m     93\u001b[0m \u001b[39m# we may be using a terminal that doesn't support the WinAPI\u001b[39;00m\n\u001b[0;32m     94\u001b[0m \u001b[39m# (e.g. Cygwin Terminal). In this case it's up to the terminal\u001b[39;00m\n\u001b[0;32m     95\u001b[0m \u001b[39m# to support the ANSI codes.\u001b[39;00m\n\u001b[1;32m---> 96\u001b[0m conversion_supported \u001b[39m=\u001b[39m on_windows \u001b[39mand\u001b[39;00m winapi_test()\n\u001b[0;32m     97\u001b[0m \u001b[39mtry\u001b[39;00m:\n\u001b[0;32m     98\u001b[0m     fd \u001b[39m=\u001b[39m wrapped\u001b[39m.\u001b[39mfileno()\n",
      "File \u001b[1;32mf:\\Anaconda\\Anaconda\\envs\\MFEA\\lib\\site-packages\\colorama\\win32.py:115\u001b[0m, in \u001b[0;36mwinapi_test\u001b[1;34m()\u001b[0m\n\u001b[0;32m    114\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39mwinapi_test\u001b[39m():\n\u001b[1;32m--> 115\u001b[0m     \u001b[39mreturn\u001b[39;00m \u001b[39many\u001b[39;49m(_winapi_test(h) \u001b[39mfor\u001b[39;49;00m h \u001b[39min\u001b[39;49;00m\n\u001b[0;32m    116\u001b[0m                (_GetStdHandle(STDOUT), _GetStdHandle(STDERR)))\n",
      "File \u001b[1;32mf:\\Anaconda\\Anaconda\\envs\\MFEA\\lib\\site-packages\\colorama\\win32.py:115\u001b[0m, in \u001b[0;36m<genexpr>\u001b[1;34m(.0)\u001b[0m\n\u001b[0;32m    114\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39mwinapi_test\u001b[39m():\n\u001b[1;32m--> 115\u001b[0m     \u001b[39mreturn\u001b[39;00m \u001b[39many\u001b[39m(_winapi_test(h) \u001b[39mfor\u001b[39;00m h \u001b[39min\u001b[39;00m\n\u001b[0;32m    116\u001b[0m                (_GetStdHandle(STDOUT), _GetStdHandle(STDERR)))\n",
      "File \u001b[1;32mf:\\Anaconda\\Anaconda\\envs\\MFEA\\lib\\site-packages\\colorama\\win32.py:110\u001b[0m, in \u001b[0;36m_winapi_test\u001b[1;34m(handle)\u001b[0m\n\u001b[0;32m    108\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39m_winapi_test\u001b[39m(handle):\n\u001b[0;32m    109\u001b[0m     csbi \u001b[39m=\u001b[39m CONSOLE_SCREEN_BUFFER_INFO()\n\u001b[1;32m--> 110\u001b[0m     success \u001b[39m=\u001b[39m _GetConsoleScreenBufferInfo(\n\u001b[0;32m    111\u001b[0m         handle, byref(csbi))\n\u001b[0;32m    112\u001b[0m     \u001b[39mreturn\u001b[39;00m \u001b[39mbool\u001b[39m(success)\n",
      "\u001b[1;31mKeyboardInterrupt\u001b[0m: "
     ]
    }
   ],
   "source": [
    "SM_SBX = SM_MFEA.model()\n",
    "SM_SBX.compile(\n",
    "    IndClass= IndClass,\n",
    "    tasks= tasks,\n",
    "    crossover= SBX_Crossover(nc = 2),\n",
    "    mutation= PolynomialMutation(nm = 5),\n",
    ")\n",
    "solve = SM_SBX.fit(\n",
    "    nb_generations= 1000, nb_inds_each_task= 100, nb_inds_min= 20,\n",
    "    lr = 0.1, mu=0.1,\n",
    "    evaluate_initial_skillFactor= True\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Seed: None -- Time: 01m 49.55s  100 % [====================>]  Pop_size: 1.90E+02  ,  Cost: 1.84E-26  1.45E-26  0.00E+00  0.00E+00  1.24E-24  4.31E-14  0.00E+00  6.36E-04  0.00E+00  0.00E+00  ,  \n",
      "[0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1]\n",
      "[100700, 99916, 99812, 99510, 99306, 100632, 99230, 99848, 100890, 100186]\n",
      "END!\n"
     ]
    }
   ],
   "source": [
    "SM_KL_SBX = SM_MFEA.model()\n",
    "SM_KL_SBX.compile(\n",
    "    IndClass= IndClass,\n",
    "    tasks= tasks,\n",
    "    crossover= DaS_SBX_Crossover(nc = 2),\n",
    "    mutation= PolynomialMutation(nm = 5),\n",
    ")\n",
    "solve = SM_KL_SBX.fit(\n",
    "    nb_generations= 1000, nb_inds_each_task= 100, nb_inds_min= 20,\n",
    "    lr = 0.1, mu=0.1,\n",
    "    evaluate_initial_skillFactor= True\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0.91604249, 0.91256795, 0.98857103, 0.98516035, 0.90975089,\n",
       "       0.02      , 0.98846469, 0.02      , 0.91484108, 0.98705149,\n",
       "       0.98765445, 0.99364588, 0.98835255, 0.90767182, 0.9122587 ,\n",
       "       0.98786872, 0.02      , 0.91195157, 0.98551478, 0.9144308 ,\n",
       "       0.98633307, 0.91234604, 0.91421428, 0.91185109, 0.91353229,\n",
       "       0.02      , 0.02      , 0.02      , 0.02      , 0.02      ,\n",
       "       0.02      , 0.02      , 0.02      , 0.02      , 0.02      ,\n",
       "       0.02      , 0.02      , 0.02      , 0.02      , 0.02      ,\n",
       "       0.02      , 0.02      , 0.02      , 0.02      , 0.02      ,\n",
       "       0.02      , 0.02      , 0.02      , 0.02      , 0.02      ])"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "SM_KL_SBX.crossover.prob[9][1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Seed: None -- Time: 01m 27.88s  100 % [====================>]  Pop_size: 1.90E+02  ,  Cost: 3.78E-26  2.10E-26  0.00E+00  0.00E+00  3.44E-18  4.31E-14  0.00E+00  6.36E-04  0.00E+00  0.00E+00  ,  \n",
      "[0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1]\n",
      "[101250, 99582, 100268, 99958, 100364, 99826, 99378, 99214, 99756, 100434]\n",
      "END!\n"
     ]
    }
   ],
   "source": [
    "SM_DaS = SM_MFEA.model()\n",
    "SM_DaS.compile(\n",
    "    IndClass= IndClass,\n",
    "    tasks= tasks,\n",
    "    crossover= SBX_Crossover(nc = 2),\n",
    "    mutation= PolynomialMutation(nm = 5),\n",
    "    dimension_strategy= DaS_strategy(eta= 3)\n",
    ")\n",
    "solve = SM_DaS.fit(\n",
    "    nb_generations= 1000, nb_inds_each_task= 100, nb_inds_min= 20,\n",
    "    lr = 0.1, mu=0.1,\n",
    "    evaluate_initial_skillFactor= True\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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