{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "dynamic-invitation",
   "metadata": {},
   "outputs": [],
   "source": [
    "from library.exercise import Exercise\n",
    "from library.dataset import DataSet, TrainTestData\n",
    "from library.interfaces import GanBaseClass, TesterNetworkBaseClass"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "modern-battery",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "absolute-fruit",
   "metadata": {},
   "outputs": [],
   "source": [
    "def createTesterNetwork():\n",
    "    return TesterNetworkBaseClass()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "seventh-flood",
   "metadata": {},
   "outputs": [],
   "source": [
    "def loadFailingDataset():\n",
    "    data0 = np.array(range(100)).reshape((25,4))\n",
    "    return DataSet(data0=np.concatenate((data0, [[0,0,0,0]])), data1=data0 * 2)\n",
    "\n",
    "def loadEqualDataset():\n",
    "    data0 = np.array(range(100)).reshape((25,4))\n",
    "    return DataSet(data0=data0, data1=data0 * 2)\n",
    "\n",
    "def loadDataset():\n",
    "    data0 = np.array(range(100)).reshape((25,4))\n",
    "    return DataSet(data0=data0[0:12], data1=data0 * 2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "fabulous-willow",
   "metadata": {},
   "outputs": [],
   "source": [
    "exercise = Exercise(createTesterNetwork)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "direct-vacuum",
   "metadata": {},
   "outputs": [],
   "source": [
    "gan = GanBaseClass()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "bored-flash",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "### Start exercise for synthetic point generator\n",
      "\n",
      "====== Step {shuffleStep + 1}/{self.numOfShuffles} =======\n",
      "-> Spliting data to slices\n",
      "\n",
      "------ Step {shuffleStep + 1}/{self.numOfShuffles}: Slice {sliceNr + 1}/{self.numOfSlices} -------\n",
      "-> Train generator for synthetic samples\n",
      "Train GAN with |class 0|=20, |class 1|=20\n",
      "-> create network\n",
      "-> train network\n",
      "-> test network\n",
      "-> check results\n",
      "\n",
      "------ Step {shuffleStep + 1}/{self.numOfShuffles}: Slice {sliceNr + 1}/{self.numOfSlices} -------\n",
      "-> Train generator for synthetic samples\n",
      "Train GAN with |class 0|=20, |class 1|=20\n",
      "-> create network\n",
      "-> train network\n",
      "-> test network\n",
      "-> check results\n",
      "\n",
      "------ Step {shuffleStep + 1}/{self.numOfShuffles}: Slice {sliceNr + 1}/{self.numOfSlices} -------\n",
      "-> Train generator for synthetic samples\n",
      "Train GAN with |class 0|=20, |class 1|=20\n",
      "-> create network\n",
      "-> train network\n",
      "-> test network\n",
      "-> check results\n",
      "\n",
      "------ Step {shuffleStep + 1}/{self.numOfShuffles}: Slice {sliceNr + 1}/{self.numOfSlices} -------\n",
      "-> Train generator for synthetic samples\n",
      "Train GAN with |class 0|=20, |class 1|=20\n",
      "-> create network\n",
      "-> train network\n",
      "-> test network\n",
      "-> check results\n",
      "\n",
      "------ Step {shuffleStep + 1}/{self.numOfShuffles}: Slice {sliceNr + 1}/{self.numOfSlices} -------\n",
      "-> Train generator for synthetic samples\n",
      "Train GAN with |class 0|=20, |class 1|=20\n",
      "-> create network\n",
      "-> train network\n",
      "-> test network\n",
      "-> check results\n",
      "\n",
      "====== Step {shuffleStep + 1}/{self.numOfShuffles} =======\n",
      "-> Spliting data to slices\n",
      "\n",
      "------ Step {shuffleStep + 1}/{self.numOfShuffles}: Slice {sliceNr + 1}/{self.numOfSlices} -------\n",
      "-> Train generator for synthetic samples\n",
      "Train GAN with |class 0|=20, |class 1|=20\n",
      "-> create network\n",
      "-> train network\n",
      "-> test network\n",
      "-> check results\n",
      "\n",
      "------ Step {shuffleStep + 1}/{self.numOfShuffles}: Slice {sliceNr + 1}/{self.numOfSlices} -------\n",
      "-> Train generator for synthetic samples\n",
      "Train GAN with |class 0|=20, |class 1|=20\n",
      "-> create network\n",
      "-> train network\n",
      "-> test network\n",
      "-> check results\n",
      "\n",
      "------ Step {shuffleStep + 1}/{self.numOfShuffles}: Slice {sliceNr + 1}/{self.numOfSlices} -------\n",
      "-> Train generator for synthetic samples\n",
      "Train GAN with |class 0|=20, |class 1|=20\n",
      "-> create network\n",
      "-> train network\n",
      "-> test network\n",
      "-> check results\n",
      "\n",
      "------ Step {shuffleStep + 1}/{self.numOfShuffles}: Slice {sliceNr + 1}/{self.numOfSlices} -------\n",
      "-> Train generator for synthetic samples\n",
      "Train GAN with |class 0|=20, |class 1|=20\n",
      "-> create network\n",
      "-> train network\n",
      "-> test network\n",
      "-> check results\n",
      "\n",
      "------ Step {shuffleStep + 1}/{self.numOfShuffles}: Slice {sliceNr + 1}/{self.numOfSlices} -------\n",
      "-> Train generator for synthetic samples\n",
      "Train GAN with |class 0|=20, |class 1|=20\n",
      "-> create network\n",
      "-> train network\n",
      "-> test network\n",
      "-> check results\n",
      "\n",
      "====== Step {shuffleStep + 1}/{self.numOfShuffles} =======\n",
      "-> Spliting data to slices\n",
      "\n",
      "------ Step {shuffleStep + 1}/{self.numOfShuffles}: Slice {sliceNr + 1}/{self.numOfSlices} -------\n",
      "-> Train generator for synthetic samples\n",
      "Train GAN with |class 0|=20, |class 1|=20\n",
      "-> create network\n",
      "-> train network\n",
      "-> test network\n",
      "-> check results\n",
      "\n",
      "------ Step {shuffleStep + 1}/{self.numOfShuffles}: Slice {sliceNr + 1}/{self.numOfSlices} -------\n",
      "-> Train generator for synthetic samples\n",
      "Train GAN with |class 0|=20, |class 1|=20\n",
      "-> create network\n",
      "-> train network\n",
      "-> test network\n",
      "-> check results\n",
      "\n",
      "------ Step {shuffleStep + 1}/{self.numOfShuffles}: Slice {sliceNr + 1}/{self.numOfSlices} -------\n",
      "-> Train generator for synthetic samples\n",
      "Train GAN with |class 0|=20, |class 1|=20\n",
      "-> create network\n",
      "-> train network\n",
      "-> test network\n",
      "-> check results\n",
      "\n",
      "------ Step {shuffleStep + 1}/{self.numOfShuffles}: Slice {sliceNr + 1}/{self.numOfSlices} -------\n",
      "-> Train generator for synthetic samples\n",
      "Train GAN with |class 0|=20, |class 1|=20\n",
      "-> create network\n",
      "-> train network\n",
      "-> test network\n",
      "-> check results\n",
      "\n",
      "------ Step {shuffleStep + 1}/{self.numOfShuffles}: Slice {sliceNr + 1}/{self.numOfSlices} -------\n",
      "-> Train generator for synthetic samples\n",
      "Train GAN with |class 0|=20, |class 1|=20\n",
      "-> create network\n",
      "-> train network\n",
      "-> test network\n",
      "-> check results\n",
      "\n",
      "====== Step {shuffleStep + 1}/{self.numOfShuffles} =======\n",
      "-> Spliting data to slices\n",
      "\n",
      "------ Step {shuffleStep + 1}/{self.numOfShuffles}: Slice {sliceNr + 1}/{self.numOfSlices} -------\n",
      "-> Train generator for synthetic samples\n",
      "Train GAN with |class 0|=20, |class 1|=20\n",
      "-> create network\n",
      "-> train network\n",
      "-> test network\n",
      "-> check results\n",
      "\n",
      "------ Step {shuffleStep + 1}/{self.numOfShuffles}: Slice {sliceNr + 1}/{self.numOfSlices} -------\n",
      "-> Train generator for synthetic samples\n",
      "Train GAN with |class 0|=20, |class 1|=20\n",
      "-> create network\n",
      "-> train network\n",
      "-> test network\n",
      "-> check results\n",
      "\n",
      "------ Step {shuffleStep + 1}/{self.numOfShuffles}: Slice {sliceNr + 1}/{self.numOfSlices} -------\n",
      "-> Train generator for synthetic samples\n",
      "Train GAN with |class 0|=20, |class 1|=20\n",
      "-> create network\n",
      "-> train network\n",
      "-> test network\n",
      "-> check results\n",
      "\n",
      "------ Step {shuffleStep + 1}/{self.numOfShuffles}: Slice {sliceNr + 1}/{self.numOfSlices} -------\n",
      "-> Train generator for synthetic samples\n",
      "Train GAN with |class 0|=20, |class 1|=20\n",
      "-> create network\n",
      "-> train network\n",
      "-> test network\n",
      "-> check results\n",
      "\n",
      "------ Step {shuffleStep + 1}/{self.numOfShuffles}: Slice {sliceNr + 1}/{self.numOfSlices} -------\n",
      "-> Train generator for synthetic samples\n",
      "Train GAN with |class 0|=20, |class 1|=20\n",
      "-> create network\n",
      "-> train network\n",
      "-> test network\n",
      "-> check results\n",
      "\n",
      "====== Step {shuffleStep + 1}/{self.numOfShuffles} =======\n",
      "-> Spliting data to slices\n",
      "\n",
      "------ Step {shuffleStep + 1}/{self.numOfShuffles}: Slice {sliceNr + 1}/{self.numOfSlices} -------\n",
      "-> Train generator for synthetic samples\n",
      "Train GAN with |class 0|=20, |class 1|=20\n",
      "-> create network\n",
      "-> train network\n",
      "-> test network\n",
      "-> check results\n",
      "\n",
      "------ Step {shuffleStep + 1}/{self.numOfShuffles}: Slice {sliceNr + 1}/{self.numOfSlices} -------\n",
      "-> Train generator for synthetic samples\n",
      "Train GAN with |class 0|=20, |class 1|=20\n",
      "-> create network\n",
      "-> train network\n",
      "-> test network\n",
      "-> check results\n",
      "\n",
      "------ Step {shuffleStep + 1}/{self.numOfShuffles}: Slice {sliceNr + 1}/{self.numOfSlices} -------\n",
      "-> Train generator for synthetic samples\n",
      "Train GAN with |class 0|=20, |class 1|=20\n",
      "-> create network\n",
      "-> train network\n",
      "-> test network\n",
      "-> check results\n",
      "\n",
      "------ Step {shuffleStep + 1}/{self.numOfShuffles}: Slice {sliceNr + 1}/{self.numOfSlices} -------\n",
      "-> Train generator for synthetic samples\n",
      "Train GAN with |class 0|=20, |class 1|=20\n",
      "-> create network\n",
      "-> train network\n",
      "-> test network\n",
      "-> check results\n",
      "\n",
      "------ Step {shuffleStep + 1}/{self.numOfShuffles}: Slice {sliceNr + 1}/{self.numOfSlices} -------\n",
      "-> Train generator for synthetic samples\n",
      "Train GAN with |class 0|=20, |class 1|=20\n",
      "-> create network\n",
      "-> train network\n",
      "-> test network\n",
      "-> check results\n",
      "### Exercise is done.\n"
     ]
    }
   ],
   "source": [
    "exercise.run(gan, loadEqualDataset())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "described-bidder",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "### Start exercise for synthetic point generator\n",
      "\n",
      "====== Step {shuffleStep + 1}/{self.numOfShuffles} =======\n",
      "-> Spliting data to slices\n",
      "\n",
      "------ Step {shuffleStep + 1}/{self.numOfShuffles}: Slice {sliceNr + 1}/{self.numOfSlices} -------\n",
      "-> Train generator for synthetic samples\n",
      "Train GAN with |class 0|=9, |class 1|=20\n",
      "-> create 11 synthetic samples\n",
      "-> create network\n",
      "-> train network\n",
      "-> test network\n",
      "-> check results\n",
      "\n",
      "------ Step {shuffleStep + 1}/{self.numOfShuffles}: Slice {sliceNr + 1}/{self.numOfSlices} -------\n",
      "-> Train generator for synthetic samples\n",
      "Train GAN with |class 0|=9, |class 1|=20\n",
      "-> create 11 synthetic samples\n",
      "-> create network\n",
      "-> train network\n",
      "-> test network\n",
      "-> check results\n",
      "\n",
      "------ Step {shuffleStep + 1}/{self.numOfShuffles}: Slice {sliceNr + 1}/{self.numOfSlices} -------\n",
      "-> Train generator for synthetic samples\n",
      "Train GAN with |class 0|=9, |class 1|=20\n",
      "-> create 11 synthetic samples\n",
      "-> create network\n",
      "-> train network\n",
      "-> test network\n",
      "-> check results\n",
      "\n",
      "------ Step {shuffleStep + 1}/{self.numOfShuffles}: Slice {sliceNr + 1}/{self.numOfSlices} -------\n",
      "-> Train generator for synthetic samples\n",
      "Train GAN with |class 0|=9, |class 1|=20\n",
      "-> create 11 synthetic samples\n",
      "-> create network\n",
      "-> train network\n",
      "-> test network\n",
      "-> check results\n",
      "\n",
      "------ Step {shuffleStep + 1}/{self.numOfShuffles}: Slice {sliceNr + 1}/{self.numOfSlices} -------\n",
      "-> Train generator for synthetic samples\n",
      "Train GAN with |class 0|=12, |class 1|=20\n",
      "-> create 8 synthetic samples\n",
      "-> create network\n",
      "-> train network\n",
      "-> test network\n",
      "-> check results\n",
      "\n",
      "====== Step {shuffleStep + 1}/{self.numOfShuffles} =======\n",
      "-> Spliting data to slices\n",
      "\n",
      "------ Step {shuffleStep + 1}/{self.numOfShuffles}: Slice {sliceNr + 1}/{self.numOfSlices} -------\n",
      "-> Train generator for synthetic samples\n",
      "Train GAN with |class 0|=9, |class 1|=20\n",
      "-> create 11 synthetic samples\n",
      "-> create network\n",
      "-> train network\n",
      "-> test network\n",
      "-> check results\n",
      "\n",
      "------ Step {shuffleStep + 1}/{self.numOfShuffles}: Slice {sliceNr + 1}/{self.numOfSlices} -------\n",
      "-> Train generator for synthetic samples\n",
      "Train GAN with |class 0|=9, |class 1|=20\n",
      "-> create 11 synthetic samples\n",
      "-> create network\n",
      "-> train network\n",
      "-> test network\n",
      "-> check results\n",
      "\n",
      "------ Step {shuffleStep + 1}/{self.numOfShuffles}: Slice {sliceNr + 1}/{self.numOfSlices} -------\n",
      "-> Train generator for synthetic samples\n",
      "Train GAN with |class 0|=9, |class 1|=20\n",
      "-> create 11 synthetic samples\n",
      "-> create network\n",
      "-> train network\n",
      "-> test network\n",
      "-> check results\n",
      "\n",
      "------ Step {shuffleStep + 1}/{self.numOfShuffles}: Slice {sliceNr + 1}/{self.numOfSlices} -------\n",
      "-> Train generator for synthetic samples\n",
      "Train GAN with |class 0|=9, |class 1|=20\n",
      "-> create 11 synthetic samples\n",
      "-> create network\n",
      "-> train network\n",
      "-> test network\n",
      "-> check results\n",
      "\n",
      "------ Step {shuffleStep + 1}/{self.numOfShuffles}: Slice {sliceNr + 1}/{self.numOfSlices} -------\n",
      "-> Train generator for synthetic samples\n",
      "Train GAN with |class 0|=12, |class 1|=20\n",
      "-> create 8 synthetic samples\n",
      "-> create network\n",
      "-> train network\n",
      "-> test network\n",
      "-> check results\n",
      "\n",
      "====== Step {shuffleStep + 1}/{self.numOfShuffles} =======\n",
      "-> Spliting data to slices\n",
      "\n",
      "------ Step {shuffleStep + 1}/{self.numOfShuffles}: Slice {sliceNr + 1}/{self.numOfSlices} -------\n",
      "-> Train generator for synthetic samples\n",
      "Train GAN with |class 0|=9, |class 1|=20\n",
      "-> create 11 synthetic samples\n",
      "-> create network\n",
      "-> train network\n",
      "-> test network\n",
      "-> check results\n",
      "\n",
      "------ Step {shuffleStep + 1}/{self.numOfShuffles}: Slice {sliceNr + 1}/{self.numOfSlices} -------\n",
      "-> Train generator for synthetic samples\n",
      "Train GAN with |class 0|=9, |class 1|=20\n",
      "-> create 11 synthetic samples\n",
      "-> create network\n",
      "-> train network\n",
      "-> test network\n",
      "-> check results\n",
      "\n",
      "------ Step {shuffleStep + 1}/{self.numOfShuffles}: Slice {sliceNr + 1}/{self.numOfSlices} -------\n",
      "-> Train generator for synthetic samples\n",
      "Train GAN with |class 0|=9, |class 1|=20\n",
      "-> create 11 synthetic samples\n",
      "-> create network\n",
      "-> train network\n",
      "-> test network\n",
      "-> check results\n",
      "\n",
      "------ Step {shuffleStep + 1}/{self.numOfShuffles}: Slice {sliceNr + 1}/{self.numOfSlices} -------\n",
      "-> Train generator for synthetic samples\n",
      "Train GAN with |class 0|=9, |class 1|=20\n",
      "-> create 11 synthetic samples\n",
      "-> create network\n",
      "-> train network\n",
      "-> test network\n",
      "-> check results\n",
      "\n",
      "------ Step {shuffleStep + 1}/{self.numOfShuffles}: Slice {sliceNr + 1}/{self.numOfSlices} -------\n",
      "-> Train generator for synthetic samples\n",
      "Train GAN with |class 0|=12, |class 1|=20\n",
      "-> create 8 synthetic samples\n",
      "-> create network\n",
      "-> train network\n",
      "-> test network\n",
      "-> check results\n",
      "\n",
      "====== Step {shuffleStep + 1}/{self.numOfShuffles} =======\n",
      "-> Spliting data to slices\n",
      "\n",
      "------ Step {shuffleStep + 1}/{self.numOfShuffles}: Slice {sliceNr + 1}/{self.numOfSlices} -------\n",
      "-> Train generator for synthetic samples\n",
      "Train GAN with |class 0|=9, |class 1|=20\n",
      "-> create 11 synthetic samples\n",
      "-> create network\n",
      "-> train network\n",
      "-> test network\n",
      "-> check results\n",
      "\n",
      "------ Step {shuffleStep + 1}/{self.numOfShuffles}: Slice {sliceNr + 1}/{self.numOfSlices} -------\n",
      "-> Train generator for synthetic samples\n",
      "Train GAN with |class 0|=9, |class 1|=20\n",
      "-> create 11 synthetic samples\n",
      "-> create network\n",
      "-> train network\n",
      "-> test network\n",
      "-> check results\n",
      "\n",
      "------ Step {shuffleStep + 1}/{self.numOfShuffles}: Slice {sliceNr + 1}/{self.numOfSlices} -------\n",
      "-> Train generator for synthetic samples\n",
      "Train GAN with |class 0|=9, |class 1|=20\n",
      "-> create 11 synthetic samples\n",
      "-> create network\n",
      "-> train network\n",
      "-> test network\n",
      "-> check results\n",
      "\n",
      "------ Step {shuffleStep + 1}/{self.numOfShuffles}: Slice {sliceNr + 1}/{self.numOfSlices} -------\n",
      "-> Train generator for synthetic samples\n",
      "Train GAN with |class 0|=9, |class 1|=20\n",
      "-> create 11 synthetic samples\n",
      "-> create network\n",
      "-> train network\n",
      "-> test network\n",
      "-> check results\n",
      "\n",
      "------ Step {shuffleStep + 1}/{self.numOfShuffles}: Slice {sliceNr + 1}/{self.numOfSlices} -------\n",
      "-> Train generator for synthetic samples\n",
      "Train GAN with |class 0|=12, |class 1|=20\n",
      "-> create 8 synthetic samples\n",
      "-> create network\n",
      "-> train network\n",
      "-> test network\n",
      "-> check results\n",
      "\n",
      "====== Step {shuffleStep + 1}/{self.numOfShuffles} =======\n",
      "-> Spliting data to slices\n",
      "\n",
      "------ Step {shuffleStep + 1}/{self.numOfShuffles}: Slice {sliceNr + 1}/{self.numOfSlices} -------\n",
      "-> Train generator for synthetic samples\n",
      "Train GAN with |class 0|=9, |class 1|=20\n",
      "-> create 11 synthetic samples\n",
      "-> create network\n",
      "-> train network\n",
      "-> test network\n",
      "-> check results\n",
      "\n",
      "------ Step {shuffleStep + 1}/{self.numOfShuffles}: Slice {sliceNr + 1}/{self.numOfSlices} -------\n",
      "-> Train generator for synthetic samples\n",
      "Train GAN with |class 0|=9, |class 1|=20\n",
      "-> create 11 synthetic samples\n",
      "-> create network\n",
      "-> train network\n",
      "-> test network\n",
      "-> check results\n",
      "\n",
      "------ Step {shuffleStep + 1}/{self.numOfShuffles}: Slice {sliceNr + 1}/{self.numOfSlices} -------\n",
      "-> Train generator for synthetic samples\n",
      "Train GAN with |class 0|=9, |class 1|=20\n",
      "-> create 11 synthetic samples\n",
      "-> create network\n",
      "-> train network\n",
      "-> test network\n",
      "-> check results\n",
      "\n",
      "------ Step {shuffleStep + 1}/{self.numOfShuffles}: Slice {sliceNr + 1}/{self.numOfSlices} -------\n",
      "-> Train generator for synthetic samples\n",
      "Train GAN with |class 0|=9, |class 1|=20\n",
      "-> create 11 synthetic samples\n",
      "-> create network\n",
      "-> train network\n",
      "-> test network\n",
      "-> check results\n",
      "\n",
      "------ Step {shuffleStep + 1}/{self.numOfShuffles}: Slice {sliceNr + 1}/{self.numOfSlices} -------\n",
      "-> Train generator for synthetic samples\n",
      "Train GAN with |class 0|=12, |class 1|=20\n",
      "-> create 8 synthetic samples\n",
      "-> create network\n",
      "-> train network\n",
      "-> test network\n",
      "-> check results\n",
      "### Exercise is done.\n"
     ]
    }
   ],
   "source": [
    "exercise.run(gan, loadDataset())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "peaceful-distribution",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Expected class 0 to be the minority class but class 0 is bigger than class 1.\n"
     ]
    }
   ],
   "source": [
    "try:\n",
    "    exercise.run(gan, loadFailingDataset())\n",
    "except AttributeError as e:\n",
    "    print(e)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "finite-hamburg",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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