homework_anuj

Untitled.ipynb

@@ -0,0 +1,178 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "A=np.array([[12,12,12,12,12],[12,12,12,12,12],[12,12,12,12,12],[12,12,12,12,12],[12,12,12,12,12]])\n",
+    "B=np.array([[1,1],[1,1]])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "4\n"
+     ]
+    }
+   ],
+   "source": [
+    "m=(A.shape[0]-B.shape[0]+1)\n",
+    "print m\n",
+    "C=np.zeros((m,m))\n",
+    "def fun(B,D):\n",
+    "    sum=0\n",
+    "    if(B.shape[0]==B.shape[0]):\n",
+    "        for i in range(B.shape[0]):\n",
+    "            for ix in range(B.shape[0]):\n",
+    "                #for ixx in range(B.shape[0]):\n",
+    "                sum+=(B[i][ix]*D[i][ix])\n",
+    "        \n",
+    "    return sum\n",
+    "                                    \n",
+    "                    "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "j=0\n",
+    "k=B.shape[0]\n",
+    "\n",
+    "for ixxx in range(m):\n",
+    "    l=0\n",
+    "    n=B.shape[0]\n",
+    "    for ixxxx in range(m):\n",
+    "        \n",
+    "        #print('.........',j,k,'.....',l,n)\n",
+    "        \n",
+    "        D=np.array(A[j:k,l:n])\n",
+    "        \n",
+    "        C[ixxx][ixxxx]=fun(B,D)\n",
+    "        l+=1\n",
+    "        n+=1\n",
+    "    j+=1\n",
+    "    k+=1"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([[48., 48., 48., 48.],\n",
+       "       [48., 48., 48., 48.],\n",
+       "       [48., 48., 48., 48.],\n",
+       "       [48., 48., 48., 48.]])"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "C"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 2",
+   "language": "python",
+   "name": "python2"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 2
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython2",
+   "version": "2.7.12"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}