lab 2

First-Notebook.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Palindrome Program\n",
+    "# Palindrome Program\n",
     "> For any value (number, string, etc.)"
    ]
   },
@@ -53,7 +53,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Factorial\n",
+    "# Factorial\n",
     "> Only for integers."
    ]
   },
@@ -165,7 +165,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## .csv File Ops\n",
+    "# .csv File Ops\n",
     "> - Input matrix from user and enter into a .csv file\n",
     "> - Print contents of .csv file in matrix form"
    ]
@@ -240,12 +240,42 @@
     "readCsv()"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Nearest Palindrome\n",
+    "- Input: N (0 <= N <= 10^14)\n",
+    "- Output: The nearest palindrome to the given N. If N is a palindrome, then output N.\n",
+    "- If the difference between the two nearest palindrome is the closest, output is the lower value."
+   ]
+  },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 51,
    "metadata": {},
-   "outputs": [],
-   "source": []
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "10 \t 70 \t 101 \t 91\n"
+     ]
+    }
+   ],
+   "source": [
+    "# n = input(\"Enter a num\")\n",
+    "# n = '123456678'\n",
+    "n = '1070'\n",
+    "l = len(n)\n",
+    "h1, h2 = n[:l//2], n[(l+1)//2:]\n",
+    "h3 = n[:(l+1)//2]\n",
+    "n1 = str(h1[:-1])+h1[::-1]\n",
+    "n1 = int(n1)\n",
+    "n2 = str(int(h1) - 1)\n",
+    "n2 += h1[::-1][1:]\n",
+    "print(h1,'\\t',h2, '\\t', n1, '\\t', n2)"
+   ]
   }
  ],
  "metadata": {

pgm1.csv

@@ -0,0 +1,4 @@
+sunny,warm,normal,strong,warm,same,yes
+sunny,warm,high,strong,warm,same,yes
+rainy,cold,normal,strong,warm,change,no
+sunny,warm,high,strong,cool,change,yes

pgm1.ipynb

@@ -0,0 +1,82 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Lab Program 1\n",
+    "> - Input: .csv file\n",
+    "> - Output: predicted hypothesis as .csv"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "['sunny', 'warm', 'normal', 'strong', 'warm', 'same']\n",
+      "['sunny', 'warm', '?', 'strong', 'warm', 'same']\n",
+      "['sunny', 'warm', '?', 'strong', 'warm', 'same']\n",
+      "['sunny', 'warm', '?', 'strong', '?', '?']\n"
+     ]
+    }
+   ],
+   "source": [
+    "import csv\n",
+    "\n",
+    "outFile = 'pgm1_out.csv'\n",
+    "out_fh = open(outFile,'w')\n",
+    "writer = csv.writer(out_fh)\n",
+    "\n",
+    "with open('pgm1.csv') as fh:\n",
+    "    reader = csv.reader(fh)\n",
+    "    h = ['0','0','0','0','0','0']\n",
+    "    for row in reader:\n",
+    "        if row[-1] == 'no':\n",
+    "            print(h)\n",
+    "            writer.writerows(','.join(h))\n",
+    "            continue\n",
+    "        for i in range(len(row)-1):\n",
+    "            if h[i] != row[i] and h[i] != '0':\n",
+    "                h[i] = '?'\n",
+    "            elif h[i] == '0':\n",
+    "                h[i] = row[i]\n",
+    "        writer.writerows(','.join(h))\n",
+    "        print(h)\n",
+    "        "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "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": "3.6.5"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}