{
 "cells": [
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {
    "tags": []
   },
   "source": [
    "# Programmieraufgabe Playground"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {
    "tags": []
   },
   "source": [
    "Hier können Sie Ihre Lösungen zu der Programmieraufgabe lokal testen.\n",
    "Die [CSV-Datei](../resources/09_data_streams/autobahn.csv) mit alle Daten des Datenstroms ist schon für Sie im `resources` Ordner hinterlegt."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "from typing import Any\n",
    "from isda_streaming.data_stream import (\n",
    "    DataStream,\n",
    "    TimedStream,\n",
    "    WindowedStream,\n",
    "    KeyedStream,\n",
    ")\n",
    "from isda_streaming.synopsis import CountMinSketch, BloomFilter, ReservoirSample\n",
    "\n",
    "import numpy as np\n",
    "np.set_printoptions(legacy='1.25')"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {
    "tags": []
   },
   "source": [
    "Hier ist ein Beispiel, wie man einem `TimedStream` mit Elementen aus dem Index-Bereich von 0 bis 9 initialisiert:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "start = 0\n",
    "end = 9\n",
    "input_stream = TimedStream()\n",
    "input_stream.from_csv(\"../resources/09_data_streams/stock_prices.csv\", start, end)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "# Hier können Sie Ihre Lösungen lokal testen..."
   ]
  }
 ],
 "metadata": {
  "language_info": {
   "name": "python"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}