--- /dev/null
+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# Interleaved strings\n",
+ "\n",
+ "Given two strings a and b and a target c, could c be formed form some interleaving/merge of a and b?\n",
+ "\n",
+ "For example,\n",
+ "Given:\n",
+ "s1 = \"aabcc\",\n",
+ "s2 = \"dbbca\",\n",
+ "\n",
+ "When s3 = \"aadbbcbcac\", return true.\n",
+ "When s3 = \"aadbbbaccc\", return false."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "metadata": {
+ "collapsed": true
+ },
+ "outputs": [],
+ "source": [
+ "s1 = \"aabcc\"\n",
+ "s2 = \"dbbca\"\n",
+ "\n",
+ "s3t = \"aadbbcbcac\"\n",
+ "s3f = \"aadbbbaccc\""
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 8,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "[(0, ''), (1, 'a'), (2, 'aa'), (3, 'aab'), (4, 'aabc'), (5, 'aabcc')]"
+ ]
+ },
+ "execution_count": 8,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "[(i, s1[:i]) for i in range(len(s1)+1)]"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "`dp_table[i, j]` is True if `s3[:i+j]` can be formed from interleaving `s1[:i]` and `s2[:j]`."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 11,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "[[True, False, False, False, False, False],\n",
+ " [False, False, False, False, False, False],\n",
+ " [False, False, False, False, False, False],\n",
+ " [False, False, False, False, False, False],\n",
+ " [False, False, False, False, False, False],\n",
+ " [False, False, False, False, False, False]]"
+ ]
+ },
+ "execution_count": 11,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "dp_table = [[False] * (len(s1) + 1) for _ in range(len(s2) + 1)]\n",
+ "dp_table[0][0] = True\n",
+ "dp_table"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 24,
+ "metadata": {
+ "collapsed": false,
+ "scrolled": true
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "{(0, 0): False,\n",
+ " (0, 1): False,\n",
+ " (0, 2): False,\n",
+ " (0, 3): False,\n",
+ " (0, 4): False,\n",
+ " (0, 5): False,\n",
+ " (1, 0): False,\n",
+ " (1, 1): False,\n",
+ " (1, 2): False,\n",
+ " (1, 3): False,\n",
+ " (1, 4): False,\n",
+ " (1, 5): False,\n",
+ " (2, 0): False,\n",
+ " (2, 1): False,\n",
+ " (2, 2): False,\n",
+ " (2, 3): False,\n",
+ " (2, 4): False,\n",
+ " (2, 5): False,\n",
+ " (3, 0): False,\n",
+ " (3, 1): False,\n",
+ " (3, 2): False,\n",
+ " (3, 3): False,\n",
+ " (3, 4): False,\n",
+ " (3, 5): False,\n",
+ " (4, 0): False,\n",
+ " (4, 1): False,\n",
+ " (4, 2): False,\n",
+ " (4, 3): False,\n",
+ " (4, 4): False,\n",
+ " (4, 5): False,\n",
+ " (5, 0): False,\n",
+ " (5, 1): False,\n",
+ " (5, 2): False,\n",
+ " (5, 3): False,\n",
+ " (5, 4): False,\n",
+ " (5, 5): False}"
+ ]
+ },
+ "execution_count": 24,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "dp_table = {(i, j): False\n",
+ " for i in range(len(s1)+1)\n",
+ " for j in range(len(s2)+1)}\n",
+ "dp_table"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 25,
+ "metadata": {
+ "collapsed": true
+ },
+ "outputs": [],
+ "source": [
+ "def show_table(table):\n",
+ " return '\\n'.join(\n",
+ " ' '.join(str(table[i, j])[0] for j in sorted(set([k[1] for k in table])))\n",
+ " for i in sorted(set([k[0] for k in table]))) "
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 26,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "F F F F F F\n",
+ "F F F F F F\n",
+ "F F F F F F\n",
+ "F F F F F F\n",
+ "F F F F F F\n",
+ "F F F F F F\n"
+ ]
+ }
+ ],
+ "source": [
+ "print(show_table(dp_table))"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 39,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "aabcc dbbca aadbbbaccc\n",
+ "aa 0 0 ! ! ! True\n",
+ "s2 0 1 ! d a False\n",
+ "s2 0 2 ! b a False\n",
+ "s2 0 3 ! b d False\n",
+ "s2 0 4 ! c b False\n",
+ "s2 0 5 ! a b False\n",
+ "s1 1 0 a ! a True\n",
+ "xx 1 1 a d a False\n",
+ "xx 1 2 a b d False\n",
+ "xx 1 3 a b b False\n",
+ "xx 1 4 a c b False\n",
+ "xx 1 5 a a b False\n",
+ "s1 2 0 a ! a True\n",
+ "s2 2 1 a d d True\n",
+ "s2 2 2 a b b True\n",
+ "s2 2 3 a b b True\n",
+ "xx 2 4 a c b False\n",
+ "xx 2 5 a a a False\n",
+ "s1 3 0 b ! d False\n",
+ "s1 3 1 b d b True\n",
+ "s2 3 2 b b b True\n",
+ "s1 3 2 b b b True\n",
+ "s2 3 3 b b b True\n",
+ "s1 3 3 b b b True\n",
+ "xx 3 4 b c a False\n",
+ "xx 3 5 b a c False\n",
+ "s1 4 0 c ! b False\n",
+ "xx 4 1 c d b False\n",
+ "xx 4 2 c b b False\n",
+ "xx 4 3 c b a False\n",
+ "xx 4 4 c c c False\n",
+ "xx 4 5 c a c False\n",
+ "s1 5 0 c ! b False\n",
+ "xx 5 1 c d b False\n",
+ "xx 5 2 c b a False\n",
+ "xx 5 3 c b c False\n",
+ "xx 5 4 c c c False\n",
+ "xx 5 5 c a c False\n",
+ "T F F F F F\n",
+ "T F F F F F\n",
+ "T T T T F F\n",
+ "F T T T F F\n",
+ "F F F F F F\n",
+ "F F F F F F\n"
+ ]
+ },
+ {
+ "data": {
+ "text/plain": [
+ "{(1, 0): (0, 0, 'a', 's1'),\n",
+ " (2, 0): (1, 0, 'a', 's1'),\n",
+ " (2, 1): (2, 0, 'd', 's2'),\n",
+ " (2, 2): (2, 1, 'b', 's2'),\n",
+ " (2, 3): (2, 2, 'b', 's2'),\n",
+ " (3, 1): (2, 1, 'b', 's1'),\n",
+ " (3, 2): (2, 2, 'b', 's1'),\n",
+ " (3, 3): (2, 3, 'b', 's1')}"
+ ]
+ },
+ "execution_count": 39,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "s3 = s3f\n",
+ "\n",
+ "print(s1, s2, s3)\n",
+ "\n",
+ "dp_table = {(i, j): False\n",
+ " for i in range(len(s1)+1)\n",
+ " for j in range(len(s2)+1)}\n",
+ "\n",
+ "backpointers = {}\n",
+ "\n",
+ "for i in range(len(s1)+1):\n",
+ " for j in range(len(s2)+1):\n",
+ " if i == 0 and j == 0:\n",
+ " dp_table[i, j] = True\n",
+ " print('aa', i, j, '!', '!', '!', dp_table[i, j])\n",
+ " elif i == 0:\n",
+ " # extend by character from s2\n",
+ " if dp_table[i, j-1] and s2[j-1] == s3[i+j-1]:\n",
+ " dp_table[i, j] = True\n",
+ " backpointers[i, j] = (i, j-1, s2[j-1], 's2')\n",
+ " print('s2', i, j, '!', s2[j-1], s3[i+j-1], dp_table[i, j])\n",
+ " elif j == 0:\n",
+ " # extend by character from s1\n",
+ " if dp_table[i-1, j] and s1[i-1] == s3[i+j-1]:\n",
+ " dp_table[i, j] = True\n",
+ " backpointers[i, j] = (i-1, j, s1[i-1], 's1')\n",
+ " print('s1', i, j, s1[i-1], '!', s3[i+j-1], dp_table[i, j])\n",
+ " else:\n",
+ " # extend by character from s2\n",
+ " if dp_table[i, j-1] and s2[j-1] == s3[i+j-1]:\n",
+ " dp_table[i, j] = True\n",
+ " backpointers[i, j] = (i, j-1, s2[j-1], 's2')\n",
+ " print('s2', i, j, s1[i-1], s2[j-1], s3[i+j-1], dp_table[i, j]) \n",
+ " # extend by character from s1\n",
+ " if dp_table[i-1, j] and s1[i-1] == s3[i+j-1]:\n",
+ " dp_table[i, j] = True\n",
+ " backpointers[i, j] = (i-1, j, s1[i-1], 's1') \n",
+ " print('s1', i, j, s1[i-1], s2[j-1], s3[i+j-1], dp_table[i, j])\n",
+ " if not dp_table[i, j]:\n",
+ " print('xx', i, j, s1[i-1], s2[j-1], s3[i+j-1], dp_table[i, j])\n",
+ "\n",
+ "print(show_table(dp_table))\n",
+ "backpointers"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 49,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [],
+ "source": [
+ "def is_interleave(seq1, seq2, seq3, return_backpointers=False, debug=False):\n",
+ " \"\"\"Return true if seq3 is some interleaved merge of seq1 and seq2.\n",
+ " If return_backpointers, also return the set of backpointers to\n",
+ " reconstruct the interleaving\"\"\"\n",
+ " \n",
+ " # dp_table[i, j] is True if seq3[:i+j-1] is made up of an interleaving\n",
+ " # of the first i characters of seq1 and the first j characters of seq2\n",
+ " \n",
+ " if len(seq1) + len(seq2) != len(seq3):\n",
+ " if return_backpointers:\n",
+ " return False, {}\n",
+ " else:\n",
+ " return False\n",
+ " \n",
+ " dp_table = {(i, j): False\n",
+ " for i in range(len(seq1)+1)\n",
+ " for j in range(len(seq2)+1)}\n",
+ "\n",
+ " backpointers = {}\n",
+ "\n",
+ " for i in range(len(seq1)+1):\n",
+ " for j in range(len(seq2)+1):\n",
+ " if i == 0 and j == 0:\n",
+ " dp_table[i, j] = True\n",
+ " if debug: print('aa', i, j, '!', '!', '!', dp_table[i, j])\n",
+ " elif i == 0:\n",
+ " # extend by character from seq2\n",
+ " if dp_table[i, j-1] and seq2[j-1] == seq3[i+j-1]:\n",
+ " dp_table[i, j] = True\n",
+ " backpointers[i, j] = (i, j-1, seq2[j-1], 'seq2')\n",
+ " if debug: print('seq2', i, j, '!', seq2[j-1], seq3[i+j-1], dp_table[i, j])\n",
+ " elif j == 0:\n",
+ " # extend by character from seq1\n",
+ " if dp_table[i-1, j] and seq1[i-1] == seq3[i+j-1]:\n",
+ " dp_table[i, j] = True\n",
+ " backpointers[i, j] = (i-1, j, seq1[i-1], 'seq1')\n",
+ " if debug: print('seq1', i, j, seq1[i-1], '!', seq3[i+j-1], dp_table[i, j])\n",
+ " else:\n",
+ " # extend by character from seq2\n",
+ " if dp_table[i, j-1] and seq2[j-1] == seq3[i+j-1]:\n",
+ " dp_table[i, j] = True\n",
+ " backpointers[i, j] = (i, j-1, seq2[j-1], 'seq2')\n",
+ " if debug: print('seq2', i, j, seq1[i-1], seq2[j-1], seq3[i+j-1], dp_table[i, j]) \n",
+ " # extend by character from seq1\n",
+ " if dp_table[i-1, j] and seq1[i-1] == seq3[i+j-1]:\n",
+ " dp_table[i, j] = True\n",
+ " backpointers[i, j] = (i-1, j, seq1[i-1], 'seq1') \n",
+ " if debug: print('seq1', i, j, seq1[i-1], seq2[j-1], seq3[i+j-1], dp_table[i, j])\n",
+ " if not dp_table[i, j]:\n",
+ " if debug: print('xx', i, j, seq1[i-1], seq2[j-1], seq3[i+j-1], dp_table[i, j])\n",
+ "\n",
+ " if return_backpointers:\n",
+ " return dp_table[len(seq1), len(seq2)], backpointers\n",
+ " else:\n",
+ " return dp_table[len(seq1), len(seq2)]"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 50,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "True"
+ ]
+ },
+ "execution_count": 50,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "is_interleave(s1, s2, s3t)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 51,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "(True,\n",
+ " {(1, 0): (0, 0, 'a', 'seq1'),\n",
+ " (2, 0): (1, 0, 'a', 'seq1'),\n",
+ " (2, 1): (2, 0, 'd', 'seq2'),\n",
+ " (2, 2): (2, 1, 'b', 'seq2'),\n",
+ " (2, 3): (2, 2, 'b', 'seq2'),\n",
+ " (2, 4): (2, 3, 'c', 'seq2'),\n",
+ " (3, 1): (2, 1, 'b', 'seq1'),\n",
+ " (3, 2): (2, 2, 'b', 'seq1'),\n",
+ " (3, 4): (2, 4, 'b', 'seq1'),\n",
+ " (4, 2): (3, 2, 'c', 'seq1'),\n",
+ " (4, 3): (4, 2, 'b', 'seq2'),\n",
+ " (4, 4): (3, 4, 'c', 'seq1'),\n",
+ " (4, 5): (4, 4, 'a', 'seq2'),\n",
+ " (5, 3): (4, 3, 'c', 'seq1'),\n",
+ " (5, 5): (4, 5, 'c', 'seq1')})"
+ ]
+ },
+ "execution_count": 51,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "is_interleave(s1, s2, s3t, return_backpointers=True)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 52,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "False"
+ ]
+ },
+ "execution_count": 52,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "is_interleave(s1, s2, s3f)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 54,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "(True,\n",
+ " {(1, 0): (0, 0, 'a', 'seq1'),\n",
+ " (2, 0): (1, 0, 'a', 'seq1'),\n",
+ " (3, 0): (2, 0, 'a', 'seq1'),\n",
+ " (3, 1): (3, 0, 'b', 'seq2'),\n",
+ " (4, 1): (3, 1, 'a', 'seq1'),\n",
+ " (4, 2): (4, 1, 'b', 'seq2'),\n",
+ " (4, 3): (4, 2, 'b', 'seq2')})"
+ ]
+ },
+ "execution_count": 54,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "is_interleave('aaaa', 'bbb', 'aaababb', return_backpointers=True)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "collapsed": true
+ },
+ "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": "3.5.2"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 1
+}
--- /dev/null
+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# How much do you tip the staff?\n",
+ "\n",
+ "Each staff member has a rating, and knows the rating of adjacent members. you have to give a tip to each person, with these conditions:\n",
+ "\n",
+ "* each person gets at least on pound\n",
+ "* if a person's neighbour has the same rating, this person gets at least as much as that neighbour\n",
+ "* if a person's neighbour has a lower rating, this person gets more than that neighbour"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "metadata": {
+ "collapsed": true
+ },
+ "outputs": [],
+ "source": [
+ "import random"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "[7, 3, 9, 4, 9]"
+ ]
+ },
+ "execution_count": 2,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "ratings = [random.randrange(1, 10) for _ in range(5)]\n",
+ "ratings"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "[1, 1, 1, 1, 1]"
+ ]
+ },
+ "execution_count": 3,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "payments = [1] * len(ratings)\n",
+ "payments"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 4,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "[1, 1, 2, 1, 2]"
+ ]
+ },
+ "execution_count": 4,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "for i in range(1, len(payments)):\n",
+ " if ratings[i] == ratings[i-1]:\n",
+ " payments[i] = payments[i-1]\n",
+ " elif ratings[i] > ratings[i-1]:\n",
+ " payments[i] = payments[i-1] + 1\n",
+ "payments"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 5,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "[3, 2, 1, 0]"
+ ]
+ },
+ "execution_count": 5,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "[i for i in reversed(range(len(payments)-1))]"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 6,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "[2, 1, 2, 1, 2]"
+ ]
+ },
+ "execution_count": 6,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "for i in reversed(range(len(payments) - 1)):\n",
+ " if ratings[i] == ratings[i+1]:\n",
+ " payments[i] = max(payments[i], payments[i+1])\n",
+ " elif ratings[i] > ratings[i+1]:\n",
+ " payments[i] = max(payments[i], payments[i+1] + 1)\n",
+ "payments"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 7,
+ "metadata": {
+ "collapsed": true
+ },
+ "outputs": [],
+ "source": [
+ "def payments_dp(ratings):\n",
+ " payments = [1] * len(ratings)\n",
+ " \n",
+ " for i in range(1, len(payments)):\n",
+ " if ratings[i] == ratings[i-1]:\n",
+ " payments[i] = payments[i-1]\n",
+ " elif ratings[i] > ratings[i-1]:\n",
+ " payments[i] = payments[i-1] + 1\n",
+ " \n",
+ " for i in reversed(range(len(payments) - 1)):\n",
+ " if ratings[i] == ratings[i+1]:\n",
+ " payments[i] = max(payments[i], payments[i+1])\n",
+ " elif ratings[i] > ratings[i+1]:\n",
+ " payments[i] = max(payments[i], payments[i+1] + 1)\n",
+ " \n",
+ " return payments"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 8,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "[2, 1, 2, 1, 2]"
+ ]
+ },
+ "execution_count": 8,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "payments_dp(ratings)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 14,
+ "metadata": {
+ "collapsed": false,
+ "scrolled": false
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "([76,\n",
+ " 34,\n",
+ " 76,\n",
+ " 40,\n",
+ " 14,\n",
+ " 91,\n",
+ " 88,\n",
+ " 96,\n",
+ " 14,\n",
+ " 1,\n",
+ " 22,\n",
+ " 97,\n",
+ " 75,\n",
+ " 59,\n",
+ " 27,\n",
+ " 24,\n",
+ " 96,\n",
+ " 70,\n",
+ " 79,\n",
+ " 3],\n",
+ " [2, 1, 3, 2, 1, 2, 1, 3, 2, 1, 2, 5, 4, 3, 2, 1, 2, 1, 2, 1])"
+ ]
+ },
+ "execution_count": 14,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "ratings = [random.randrange(1, 100) for _ in range(20)]\n",
+ "ratings, payments_dp(ratings)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 10,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "[1, 2, 3, 4, 5, 6, 7]"
+ ]
+ },
+ "execution_count": 10,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "payments_dp([1,2,3,4,5,6,7])"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 37,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [],
+ "source": [
+ "def is_valid(ratings, payments):\n",
+ " valid = True\n",
+ " for i in range(len(ratings)):\n",
+ " if i == 0:\n",
+ " left_r = ratings[i]\n",
+ " left_p = payments[i]\n",
+ " else:\n",
+ " left_r = ratings[i-1]\n",
+ " left_p = payments[i-1]\n",
+ " if i == len(ratings)-1:\n",
+ " right_r = ratings[i]\n",
+ " right_p = payments[i]\n",
+ " else:\n",
+ " right_r = ratings[i+1]\n",
+ " right_p = payments[i+1]\n",
+ "# print(i, ':', left_r, ratings[i], right_r, ':', left_p, payments[i], right_p)\n",
+ " if ratings[i] > left_r and payments[i] <= left_p:\n",
+ " valid = False\n",
+ " elif ratings[i] == left_r and payments[i] != left_p:\n",
+ " valid = False\n",
+ " elif ratings[i] < left_r and payments[i] >= left_p:\n",
+ " valid = False\n",
+ " if ratings[i] > right_r and payments[i] <= right_p:\n",
+ " valid = False\n",
+ " elif ratings[i] == right_r and payments[i] != right_p:\n",
+ " valid = False\n",
+ " elif ratings[i] < right_r and payments[i] >= right_p:\n",
+ " valid = False\n",
+ " \n",
+ " return valid"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 38,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "False"
+ ]
+ },
+ "execution_count": 38,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "is_valid(ratings, [1]*len(ratings))"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 39,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "True"
+ ]
+ },
+ "execution_count": 39,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "is_valid(ratings, payments_dp(ratings))"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 40,
+ "metadata": {
+ "collapsed": true
+ },
+ "outputs": [],
+ "source": [
+ "def payments_naive(ratings):\n",
+ " payments = [1] * len(ratings)\n",
+ " changes = True\n",
+ " while changes:\n",
+ " changes = False\n",
+ " for i in range(len(ratings)):\n",
+ " if i == 0:\n",
+ " left_r = ratings[i]\n",
+ " left_p = payments[i]\n",
+ " else:\n",
+ " left_r = ratings[i-1]\n",
+ " left_p = payments[i-1]\n",
+ " if i == len(ratings)-1:\n",
+ " right_r = ratings[i]\n",
+ " right_p = payments[i]\n",
+ " else:\n",
+ " right_r = ratings[i+1]\n",
+ " right_p = payments[i+1]\n",
+ " \n",
+ " if ratings[i] > left_r and payments[i] <= left_p:\n",
+ " payments[i] = left_p + 1\n",
+ " changes = True\n",
+ " elif ratings[i] == left_r and payments[i] != left_p:\n",
+ " payments[i] = left_p\n",
+ " changes = True\n",
+ " elif ratings[i] > right_r and payments[i] <= right_p:\n",
+ " payments[i] = right_p + 1\n",
+ " changes = True\n",
+ " elif ratings[i] == right_r and payments[i] != right_p:\n",
+ " payments[i] = right_p\n",
+ " changes = True\n",
+ "\n",
+ " return payments"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 41,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "[2, 1, 3, 2, 1, 2, 1, 3, 2, 1, 2, 5, 4, 3, 2, 1, 2, 1, 2, 1]"
+ ]
+ },
+ "execution_count": 41,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "payments_naive(ratings)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 42,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "[2, 1, 3, 2, 1, 2, 1, 3, 2, 1, 2, 5, 4, 3, 2, 1, 2, 1, 2, 1]"
+ ]
+ },
+ "execution_count": 42,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "payments_dp(ratings)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 43,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "[76, 34, 76, 40, 14, 91, 88, 96, 14, 1, 22, 97, 75, 59, 27, 24, 96, 70, 79, 3]"
+ ]
+ },
+ "execution_count": 43,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "ratings"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 44,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "True"
+ ]
+ },
+ "execution_count": 44,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "is_valid(ratings, payments_naive(ratings))"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 55,
+ "metadata": {
+ "collapsed": true
+ },
+ "outputs": [],
+ "source": [
+ "ratings = [random.randrange(1, 100) for _ in range(10**7)]"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 56,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "True"
+ ]
+ },
+ "execution_count": 56,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "is_valid(ratings, payments_naive(ratings))"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 57,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "True"
+ ]
+ },
+ "execution_count": 57,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "is_valid(ratings, payments_dp(ratings))"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 58,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "1 loop, best of 3: 1min 17s per loop\n"
+ ]
+ }
+ ],
+ "source": [
+ "%%timeit\n",
+ "payments_naive(ratings)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 59,
+ "metadata": {
+ "collapsed": false
+ },
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "1 loop, best of 3: 7.77 s per loop\n"
+ ]
+ }
+ ],
+ "source": [
+ "%%timeit\n",
+ "payments_dp(ratings)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "collapsed": true
+ },
+ "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": "3.5.2"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 1
+}
projects / ou-summer-of-code-2017.git / commitdiff