Added Lecture 4

.obsidian/workspace.json

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Material/wise_24_25/Folien/3.Lösungen_Extended_Applications.ipynb

@@ -0,0 +1,334 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "c3c41172-0fa4-4542-af74-5912b25dce09",
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": "slide"
+    },
+    "tags": []
+   },
+   "source": [
+    "# Lösungen Extended Applications"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0200f54c-1416-4e4b-bcb9-fbe781bff590",
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": "slide"
+    },
+    "tags": []
+   },
+   "source": [
+    "### Aufgabe\n",
+    "\n",
+    "*3 Punkte*\n",
+    "\n",
+    "Schreibe einen Generator `square_count` mit einem Eingabeparameter `n`, welcher die Quadratzahlen von $1\\dots n^2$ ausgibt.\n",
+    "\n",
+    "Die Aufgabe gibt 0 Punkte, wenn die Funktion `square_count` kein Generator ist!\n",
+    "\n",
+    "Hinweis: Bei Eingabe von `5` soll die Ausgabe `1 4 9 16` sein."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "b27328c4-e085-4783-8ea8-c45c62b63d9f",
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": "fragment"
+    },
+    "tags": []
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Square Numbers from 0 to 1: 1\n",
+      "Square Numbers from 0 to 2: 1 4\n",
+      "Square Numbers from 0 to 3: 1 4 9\n",
+      "Square Numbers from 0 to 4: 1 4 9 16\n",
+      "Square Numbers from 0 to 5: 1 4 9 16 25\n"
+     ]
+    }
+   ],
+   "source": [
+    "def square_count(n: int) -> int:    \n",
+    "    for i in range(1, n):\n",
+    "        yield i*i\n",
+    "\n",
+    "for n in range(2, 7):\n",
+    "    print(f\"Square Numbers from 0 to {n-1}:\", *square_count(n))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "72f74416-f665-475f-a411-aa2ad5a9c257",
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": "slide"
+    },
+    "tags": []
+   },
+   "source": [
+    "### Aufgabe\n",
+    "\n",
+    "*3 Punkte*\n",
+    "\n",
+    "Schreibe einen Generator `naturals`, welcher mit jedem Aufruf die nächste natürliche Zahl ausgibt. (Angefangen mit 1)\n",
+    "\n",
+    "- Es sind keine Eingabeparameter notwendig.\n",
+    "- Ist die Funktion kein generator, wird diese Aufgabe mit 0 Punkten bewertet\n",
+    "\n",
+    "*Hinweis*: Orientiere dich an dem Beispiel `faktoriel_gen`"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "e5023e1a-1ab0-42ec-87f2-87c2eee46274",
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": "fragment"
+    },
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "import types"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "8769a98d-5ec0-407a-9ba0-538daff61597",
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": "fragment"
+    },
+    "tags": []
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "1, 2, 3, 4, 5, 6, 7, 8, 9, "
+     ]
+    }
+   ],
+   "source": [
+    "def naturals() -> int:\n",
+    "    curr = 1\n",
+    "    while 1:\n",
+    "        yield curr\n",
+    "        curr += 1\n",
+    "        \n",
+    "gen: types.GeneratorType = naturals()\n",
+    "for i in range(1, 10):\n",
+    "    number: int = next(gen)\n",
+    "    print(number, end=', ')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7514798b-d716-4161-a0b7-a644ac8bc67a",
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": "slide"
+    },
+    "tags": []
+   },
+   "source": [
+    "### Aufgabe\n",
+    "\n",
+    "*6 Punkte*\n",
+    "\n",
+    "Schreiben Sie eine Dataclass `Student`\n",
+    "\n",
+    "- Die dataclass soll die Werte `vorname`, `nachname`, `semester` und `mat_nr` speichern, vergebe hierzu selber den !!geeigneten!! Datentypen. Mache dir dazu Gedanken ob es Sinnvoll beispielweise die Semesteranzahl als Float zu speichern.\n",
+    "\n",
+    "- importiere aus dem dataclasses modul die Funktion `asdict`, erstelle ein Objekt mit den Werten aus dem Beispielstundent, weiße den rückgabewert aus `asdict` aufgerufen mit dem Beispielstudenten der Variablen `stud` zu.\n",
+    "\n",
+    "- Die Aufgabe wird mit 0 Punkten bewertet, wenn `Student` keine dataclass ist!\n",
+    "\n",
+    "- Hat einer der Attribute keinen geeigneten Datentypen, führt dies nicht zu Punktabzug bei zwei oder mehr schon."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e6d510b0-1565-489c-9441-1812153a3a9f",
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": "subslide"
+    },
+    "tags": []
+   },
+   "source": [
+    "Beispielstudent:\n",
+    "\n",
+    "|Attribut|Wert|\n",
+    "|-|-|\n",
+    "|vorname|Martin|\n",
+    "|nachname|Le|\n",
+    "|mat_nr|520420|\n",
+    "|semester|5|"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "id": "36bd4680-e75e-4db0-9442-9c62f393608e",
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": "subslide"
+    },
+    "tags": []
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'mat_nr': 520420,\n",
+      " 'nachname': 'Le',\n",
+      " 'semester': 5,\n",
+      " 'vorname': 'Martin'}\n"
+     ]
+    }
+   ],
+   "source": [
+    "from dataclasses import dataclass, asdict\n",
+    "\n",
+    "@dataclass\n",
+    "class Student:\n",
+    "    vorname: str\n",
+    "    nachname: str\n",
+    "    mat_nr: int\n",
+    "    semester: int \n",
+    "\n",
+    "student = Student(\n",
+    "            vorname='Martin',\n",
+    "            nachname='Le',\n",
+    "            mat_nr=520420,\n",
+    "            semester=5)\n",
+    "\n",
+    "stud = asdict(student)\n",
+    "\n",
+    "from pprint import pprint\n",
+    "pprint(stud, width=1)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c1471211-26a2-4607-82de-9cc706cfc2fb",
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": "slide"
+    },
+    "tags": []
+   },
+   "source": [
+    "### Aufgabe\n",
+    "\n",
+    "*6 Punkte*\n",
+    "\n",
+    "Gegeben sind zwei Listen `colorn` & `colorv_hex`, welche zueinander Index Sortiert sind.\n",
+    "\n",
+    "Schreiben nun eine Dataclass `Color` mit den Attributen `name` & `value` und vergebe geeignete Type Hints.\n",
+    "\n",
+    "Erstelle danach eine Liste, welche die Werte aus `colorn` & `colorv_hex` in die Dataclass `Color` umwandeln, und speicher die Liste in der variablen `colors`.\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "id": "2abd79b2-2083-422b-a83d-7cd3f03aa82c",
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": "fragment"
+    },
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "colorn = ['RED', 'GREEN', 'BLUE', 'YELLOW', 'PURPLE']\n",
+    "colorv_hex = ['#FF0000', '#00FF00', '#0000FF', '#FFFF00', '#FF00FF']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "id": "9a82261a-a644-4118-a4f2-e663f10a75bd",
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": "subslide"
+    },
+    "tags": []
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[Color(name='RED', value='#FF0000'),\n",
+      " Color(name='GREEN', value='#00FF00'),\n",
+      " Color(name='BLUE', value='#0000FF'),\n",
+      " Color(name='YELLOW', value='#FFFF00'),\n",
+      " Color(name='PURPLE', value='#FF00FF')]\n"
+     ]
+    }
+   ],
+   "source": [
+    "colors = None\n",
+    "\n",
+    "@dataclass\n",
+    "class Color:\n",
+    "    name: str\n",
+    "    value: str\n",
+    "\n",
+    "colors = [Color(n, w) for n, w in zip(colorn, colorv_hex)]\n",
+    "    \n",
+    "pprint(colors)"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}