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diff --git a/Simulating pig strategies.ipynb b/Simulating pig strategies.ipynb
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+++ b/Simulating pig strategies.ipynb	
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+{
+ "metadata": {
+  "name": "",
+  "signature": "sha256:171d38168b64f05887f16b62dbb14eac4fa49ffa706dca4fb675219b234a814d"
+ },
+ "nbformat": 3,
+ "nbformat_minor": 0,
+ "worksheets": [
+  {
+   "cells": [
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "import math\n",
+      "import random\n",
+      "import matplotlib.pyplot as plt\n",
+      "import statistics as st"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 2
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "%matplotlib inline"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 3
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "This is my first run through of plotting static roll strategies, using simple functions and histograms. Farther below, I'll use Classes, subclasses and better data plotting methods. "
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "def roll():\n",
+      "    \"\"\"rolls a six sided dice\"\"\"\n",
+      "    return random.randint (1,6)\n",
+      "\n",
+      "def rolls(n):\n",
+      "    \"\"\"rolls die n number of times\"\"\"\n",
+      "    totals = []\n",
+      "    for _ in range(n):\n",
+      "        totals.append(roll())\n",
+      "    return totals\n",
+      "\n",
+      "\n",
+      "def turn_totals(strategy,n):\n",
+      "    \"\"\"Makes a list of roll totals for 7 turns\"\"\"\n",
+      "    total_score = []\n",
+      "    strat = lambda x: strategy(x)\n",
+      "    for _ in range(7):\n",
+      "        rolls = strat(n)\n",
+      "        if 1 in rolls:\n",
+      "            total_score.append(0)\n",
+      "        else:\n",
+      "            total_score.append(sum(rolls))\n",
+      "    return total_score\n"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 4
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "def mean_game_totals(iters,static_num):\n",
+      "    totals = []\n",
+      "    for _ in range(iters):\n",
+      "        totals.append(sum(turn_totals(rolls,static_num)))\n",
+      "    return st.mean(totals)\n",
+      "print(game_totals(10,1))"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "output_type": "stream",
+       "stream": "stdout",
+       "text": [
+        "25.1\n"
+       ]
+      }
+     ],
+     "prompt_number": 25
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "Results of games played by one roll a turn:"
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "def avg_hun_1k_trials(n):\n",
+      "    average_list = []\n",
+      "    for _ in range(1000):\n",
+      "        average_list.append(mean_game_totals(100,n))\n",
+      "    return average_list\n",
+      "\n",
+      "plt.hist(avg_hun_1k_trials(1), bins=50)\n",
+      "plt.xlabel(\"Average game totals\")\n",
+      "plt.ylabel(\"frequency\")\n",
+      "plt.title(\"One roll every turn\")\n",
+      "plt.show()\n",
+      " "
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "display_data",
+       "png": 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+       "text": [
+        "<matplotlib.figure.Figure at 0x107ce2860>"
+       ]
+      }
+     ],
+     "prompt_number": 35
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "plt.hist(avg_hun_1k_trials(2), bins=50)\n",
+      "plt.xlabel(\"Average game totals\")\n",
+      "plt.ylabel(\"frequency\")\n",
+      "plt.title(\"Two rolls every turn\")\n",
+      "plt.show()"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "display_data",
+       "png": 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SaB5FbIvGgywi7u1qRGZd4T7zzTrRSRL4NbAjsDrPbwXcRjrKAtilmNDMzKxonVwYXkQa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\nYII=\n",
+       "text": [
+        "<matplotlib.figure.Figure at 0x107cf6eb8>"
+       ]
+      }
+     ],
+     "prompt_number": 36
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "plt.hist(avg_hun_1k_trials(3), bins=50)\n",
+      "plt.xlabel(\"Average game totals\")\n",
+      "plt.ylabel(\"frequency\")\n",
+      "plt.title(\"Three rolls every turn\")\n",
+      "plt.show()"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "display_data",
+       "png": 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XlF8FfLjmHMNmym7KUetGYPfU9j4JeC/Ld8rrAY+k6cNrlmnlxkC/ATaStEva\n9mqSGp0AXpK2Q0T8AXhK0lvSa4cB1fr5WL7DfyKdfzmwfqWpzpMj4grgM8D2LcRsfcxJwDrlYGBe\nXdlFwMGR3e/1crJx3i+HZfckPhw4T9KtZO3ozbqVfpEsafwXcFdN+T8Bn5F0C7A18Ie07kHgXOCX\nqdlkLlkiWSYiHga+Clyf1nvf8PJkv/wvTEMuP87y5FDfA6f+l3xEds/lA4CTUlw3A3/ToE7nA0en\nk+JbAbPIThTfSna+4ctpvjOB0yT9Gvgz8EOypqgr03uywvaBdYHL0nquAT7dYNtWIh5K2vqWpDUj\n4k9p+mCyk8TvGcXya6emqUlkJ3ZPj4if5hSuWSF8TsD62c6Svk3WTPMU2U3FR2NA0p5kzSxXOQFY\nP/KRgJlZifmcgJlZiTkJmJmVmJOAmVmJOQmYmZWYk4CZWYk5CZiZldj/AeM1oqRfHFVsAAAAAElF\nTkSuQmCC\n",
+       "text": [
+        "<matplotlib.figure.Figure at 0x10771d9e8>"
+       ]
+      }
+     ],
+     "prompt_number": 38
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "plt.hist(avg_hun_1k_trials(4), bins=50)\n",
+      "plt.xlabel(\"Average game totals\")\n",
+      "plt.ylabel(\"frequency\")\n",
+      "plt.title(\"Four rolls every turn\")\n",
+      "plt.show()"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "display_data",
+       "png": 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AeZJA813E1m9scIqIh7sakZmZ9UyeJHA9sDXwSJrfELiHldetb19MaGZmVrQ8DcOLyG4v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\naKKFAAAAAElFTkSuQmCC\n",
+       "text": [
+        "<matplotlib.figure.Figure at 0x10701a128>"
+       ]
+      }
+     ],
+     "prompt_number": 40
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "plt.hist(avg_hun_1k_trials(5), bins=50)\n",
+      "plt.xlabel(\"Average game totals\")\n",
+      "plt.ylabel(\"frequency\")\n",
+      "plt.title(\"Five rolls every turn\")\n",
+      "plt.show()"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "display_data",
+       "png": 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HwJERsYqs/X7/9C+RPcDlGOB8SbeQtaM3G1b6WbKk8QuyB22P+Gfgo5JuBnYE\n/pT2vQA4D7g2NZvMI0skq0XE/cAXgevTfu8e2Z7sm/9Fym7P/TCjyaF+BE79N/mIiOfIEtN/pLiW\nAH/f4G+6APh46hTfgew++19J52JX4PNpve8Dp0u6CXgGOIOsKerH6Zy84PjA+sAVaT/XAB9pcGwr\nEd9K2gaWpHUi4uk0fyRZJ/EhLWw/JTVNTSbr2D0zIn5UULhmXeE+ARtkr5H0TbJmmsfIHrjRiiFJ\n+5I1s1ztBGCDyDUBM7MSc5+AmVmJOQmYmZWYk4CZWYk5CZiZlZiTgJlZiTkJmJmV2P8HnTbHca0/\nMowAAAAASUVORK5CYII=\n",
+       "text": [
+        "<matplotlib.figure.Figure at 0x107e40e80>"
+       ]
+      }
+     ],
+     "prompt_number": 41
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "plt.hist(avg_hun_1k_trials(6), bins=50)\n",
+      "plt.xlabel(\"Average game totals\")\n",
+      "plt.ylabel(\"frequency\")\n",
+      "plt.title(\"Six rolls every turn\")\n",
+      "plt.show()"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "display_data",
+       "png": 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VIHAnsAWwKL3fEHiU4ugOYOtyqmZmZmVrpWN4LsXjJTeKiI2Av6UYHTQlIhwAzIZI0kov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\n",
+       "text": [
+        "<matplotlib.figure.Figure at 0x1073642b0>"
+       ]
+      }
+     ],
+     "prompt_number": 42
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "import random\n",
+      "\n",
+      "\n",
+      "class Player:\n",
+      "\n",
+      "    def __init__(self, max_rolls):\n",
+      "        self.max_rolls = max_rolls\n",
+      "\n",
+      "    def roll(self):\n",
+      "        return random.randint(1, 6)\n",
+      "\n",
+      "    def hold(self):\n",
+      "        return False\n",
+      "\n",
+      "\n",
+      "class Game:\n",
+      "\n",
+      "    def __init__(self, player):\n",
+      "        self.player = player\n",
+      "        self.total_score = 0\n",
+      "        self.rounds = 7\n",
+      "\n",
+      "    def round(self):\n",
+      "        round_total = 0\n",
+      "        roll_num = 0\n",
+      "        while roll_num < self.player.max_rolls:\n",
+      "            roll_num += 1\n",
+      "            roll = self.player.roll()\n",
+      "            if roll > 1:\n",
+      "                round_total += roll\n",
+      "            else:\n",
+      "                round_total = 0\n",
+      "                break\n",
+      "        print(round_total)\n",
+      "        return round_total\n",
+      "\n",
+      "    def play_game(self):\n",
+      "\n",
+      "        while self.rounds > 1:\n",
+      "            self.total_score += self.round()\n",
+      "            self.rounds -= 1\n",
+      "\n",
+      "        print(self.total_score)\n",
+      "        return self.total_score\n",
+      "\n",
+      "            \n",
+      "        \n",
+      "\n",
+      "        \n",
+      "        \n",
+      "    \n",
+      "\n",
+      "        \n",
+      "        \n"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 147
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "The above classes work, now I will try to make subclasses, however based on the way they were designed, I have to make a subclass of each in order for holding after a value to work.."
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "class Holder(Player):\n",
+      "    def __init__(self, hold_value):\n",
+      "        self.hold_value = hold_value\n",
+      "class HoldGame(Game):\n",
+      "    def round(self):\n",
+      "        round_total = 0\n",
+      "        roll_num = 0\n",
+      "        while round_total < self.player.hold_value:\n",
+      "            roll = self.player.roll()\n",
+      "            if roll > 1:\n",
+      "                round_total += roll\n",
+      "            else:\n",
+      "                rount_total = 0\n",
+      "                break\n",
+      "        return round_total\n",
+      "    "
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 148
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "def hundred_avg_games_static(n):\n",
+      "    player = Player(n)\n",
+      "    game = Game(player)\n",
+      "    game_totals = 0\n",
+      "    for _ in range(100):\n",
+      "        game_totals += game.play_game()\n",
+      "    return game_totals/100"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 156
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "def hundred_avg_games_holder(n):\n",
+      "    xplayer = Holder(n)\n",
+      "    xgame = HoldGame(xplayer)\n",
+      "    game_totals = 0\n",
+      "    for _ in range(100):\n",
+      "        game_totals += xgame.play_game()\n",
+      "    return game_totals/100"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 157
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "print(hundred_avg_games_holder(10))\n",
+      "print(hundred_avg_games_static(2))"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "output_type": "stream",
+       "stream": "stdout",
+       "text": [
+        "47.21\n",
+        "36.26\n"
+       ]
+      }
+     ],
+     "prompt_number": 159
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "def thousand_iters_static(n):\n",
+      "    game_totals= []\n",
+      "    for _ in range(1000):\n",
+      "        game_totals.append(hundred_avg_games_static(n))\n",
+      "    return game_totals"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 165
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "print(thousand_iters_static(5))"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "output_type": "stream",
+       "stream": "stdout",
+       "text": [
+        "[68.22, 71.04, 70.64, 66.54, 73.57, 72.08, 74.15, 73.68, 74.62, 70.56]\n"
+       ]
+      }
+     ],
+     "prompt_number": 166
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "def thousand_iters_holder(n):\n",
+      "    game_totals= []\n",
+      "    for _ in range(1000):\n",
+      "        game_totals.append(hundred_avg_games_holder(n))\n",
+      "    return game_totals"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 168
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "thousand_iters_holder(15)"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 170,
+       "text": [
+        "[60.84, 63.68, 66.19, 64.18, 62.01, 62.44, 67.03, 62.6, 61.72, 66.82]"
+       ]
+      }
+     ],
+     "prompt_number": 170
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "plt.boxplot([thousand_iters_static(5),thousand_iters_static(6)])\n",
+      "plt.xticks(range(1, 4), [\"Five Rolls\", \"Six Rolls\"])\n",
+      "# plt.yscale(\"log\")\n",
+      "plt.show()"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "display_data",
+       "png": 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kDR/DTrILcHlV7d68fhq9wH56VT282RZgS1XtMKC+A9iSNEszjWEPHRKpqh8nuSnJXlV1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\nW5JawsCWpJYwsCWpJQxsSWqJ/wNKKYkdaesDcwAAAABJRU5ErkJggg==\n",
+       "text": [
+        "<matplotlib.figure.Figure at 0x1077cda90>"
+       ]
+      }
+     ],
+     "prompt_number": 180
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "plt.boxplot([thousand_iters_holder(10),thousand_iters_static(1)])\n",
+      "plt.xticks(range(1, 4), [\"Hold @ 10\", \"One Roll\"])\n",
+      "# plt.yscale(\"log\")\n",
+      "plt.show()"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "display_data",
+       "png": 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+       "text": [
+        "<matplotlib.figure.Figure at 0x1070cacc0>"
+       ]
+      }
+     ],
+     "prompt_number": 181
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "plt.boxplot([thousand_iters_holder(18),thousand_iters_static(6)])\n",
+      "plt.xticks(range(1, 4), [\"Hold @ 18\", \"Six Rolls\"])\n",
+      "# plt.yscale(\"log\")\n",
+      "plt.show()"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "display_data",
+       "png": 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w2/PK14Lt9wKu68p+gd5fWlrHPHEGSPJ0Vf3YvOenAEdW1ZlJ9qc3Rr0P8B3g3VX1UJLt\nwDNVdVEXvJfT24luAH6hqg5Z8B6bgC/TmxZ2AvCbwO3AS+gdMDynGyNd2LargTd05b4DfLCqrkhy\nFPAxYDd6Y5fvq6o7JvdTkbTWGNgrKMnr6R0gPLOqbk2yC70x8epmg0jSogzsFZbkIOCPgNfQG1a5\nGfiTqvruqjZM0ppnYEtSIzzoKEmNMLAlqREGtiQ1wsCWpEYY2JLUiP8Drlpk0BMpSEkAAAAASUVO\nRK5CYII=\n",
+       "text": [
+        "<matplotlib.figure.Figure at 0x107302e48>"
+       ]
+      }
+     ],
+     "prompt_number": 182
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "plt.boxplot([thousand_iters_holder(24),thousand_iters_static(5)])\n",
+      "plt.xticks(range(1, 4), [\"Hold @ 24\", \"Five Rolls\"])\n",
+      "# plt.yscale(\"log\")\n",
+      "plt.show()"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "display_data",
+       "png": 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OS/KhJF9J8uUkm5NsSnJTkm3t/5+9LyorSavZOC3s3wc+WlVPB44DvgK8A/i1qjoB+I12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\nrkJggg==\n",
+       "text": [
+        "<matplotlib.figure.Figure at 0x1080c5c88>"
+       ]
+      }
+     ],
+     "prompt_number": 177
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "It seems to me that 6 rolls a turn isnt a terrible strategy but I want to see more holding strategies"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 123
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "plt.boxplot([thousand_iters_holder(24),thousand_iters_holder(30)])\n",
+      "plt.xticks(range(1, 4), [\"Hold @ 24\", \"Hold @ 30\"])\n",
+      "# plt.yscale(\"log\")\n",
+      "plt.show()"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "display_data",
+       "png": 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Wei39X5PPXtaXeshcLqv8PK3fZj0vjgdu6fqwb6U/j8/N3bbfBs5Nch/whm5Zc8I7Haco\nyeuA3wXeV1X/mOR59Ps+q6r+Zra106x4XmhUBvaUJTkF+A3g5fR/fb4F+EhV/fdMK6aZ8rzQKAxs\nSWqEfdiS1AgDW5IaYWBLUiMMbElqhIEtSY34f8KV9HvSTT1fAAAAAElFTkSuQmCC\n",
+       "text": [
+        "<matplotlib.figure.Figure at 0x107308fd0>"
+       ]
+      }
+     ],
+     "prompt_number": 183
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "plt.boxplot([thousand_iters_holder(24),thousand_iters_holder(700)])\n",
+      "plt.xticks(range(1, 4), [\"Hold @ 24\", \"Hold @ 700\"])\n",
+      "# plt.yscale(\"log\")\n",
+      "plt.show()"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "metadata": {},
+       "output_type": "display_data",
+       "png": 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/eZKvJvnzJB+pqs8BZ45rYJINwHOBW7v1TcC+qvrnRX1SLWTVnwvMz7LeNrB+qJnWxwP7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\nWYKRiSNT0gcAAAAASUVORK5CYII=\n",
+       "text": [
+        "<matplotlib.figure.Figure at 0x106fb59b0>"
+       ]
+      }
+     ],
+     "prompt_number": 185
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [],
+     "language": "python",
+     "metadata": {},
+     "outputs": []
+    }
+   ],
+   "metadata": {}
+  }
+ ]
+}
\ No newline at end of file
diff --git a/some_pig.py b/some_pig.py
new file mode 100644
index 0000000..b8c4061
--- /dev/null
+++ b/some_pig.py
@@ -0,0 +1,48 @@
+import random
+
+
+class Player:
+
+    def __init__(self, max_rolls):
+        self.max_rolls = max_rolls
+
+    def roll(self):
+        return random.randint(1, 6)
+
+    def hold(self):
+        return False
+
+
+class Game:
+
+    def __init__(self, player):
+        self.player = player
+        self.total_score = 0
+        self.rounds = 7
+
+    def round(self):
+        round_total = 0
+        roll_num = 0
+        while roll_num < self.player.max_rolls:
+            roll_num += 1
+            roll = self.player.roll()
+            if roll > 1:
+                round_total += roll
+            else:
+                round_total = 0
+                break
+        print(round_total)
+        return round_total
+
+    def play_game(self):
+
+        while self.rounds > 1:
+            self.total_score += self.round()
+            self.rounds -= 1
+
+        print(self.total_score)
+        return self.total_score
+
+player = Player(2)
+game = Game(player)
+game.play_game()