example.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "e59d22f4",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "E6 F5 C4 D3\n"
     ]
    },
    {
     "data": {
      "image/jpeg": 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RUsd/ayRq4nRcjozAEUX8aSWMwdQdqFh7EDrU8caRRrHGoVVGABRpYNLEf2y2/wCfiH/vsVCt1b/a5G8+LBjQA7x6tVyoV/4/Zf8Armn82o0APtlt/wA/EP8A32Khurq3a0mVZ4iTGwADjnirlQ3n/HlP/wBc2/lQrXBB9stv+fiH/vsUfbLb/n4h/wC+xU1FLQRTW6t/tcjefFgxoAd49Wqb7Zbf8/EP/fYoX/j9l/65p/Nqmpuw2Ub29thZygTI7MpUBGBOSKljv7WSNXE6LkdGYAii/jSSxmDqDtQsPYgdanjjSKNY41CqowAKNLBpYj+2W3/PxD/32KhW6t/tcjefFgxoAd49Wq5UK/8AH7L/ANc0/m1GgB9stv8An4h/77FH2y2/5+If++xU1FLQQUVDtuf+e0P/AH6P/wAVRtuf+e0P/fo//FUWAF/4/Zf+uafzapqpqtx9rk/exZ8tMnyz6t/tVNtuf+e0P/fo/wDxVNjYXn/HlP8A9c2/lU1U7pbj7JNuliI8tsgRkdv96pttz/z2h/79H/4qjoBNUK/8fsv/AFzT+bUbbn/ntD/36P8A8VUKrcfa5P3sWfLTJ8s+rf7VAFyobz/jyn/65t/Kjbc/89of+/R/+KqG6W4+yTbpYiPLbIEZHb/eoW4IuUVDtuf+e0P/AH6P/wAVRtuf+e0P/fo//FUrCBf+P2X/AK5p/Nqmqmq3H2uT97Fny0yfLPq3+1U225/57Q/9+j/8VTY2F5/x5T/9c2/lU1U7pbj7JNuliI8tsgRkdv8Aeqbbc/8APaH/AL9H/wCKo6ATVCv/AB+y/wDXNP5tRtuf+e0P/fo//FVCq3H2uT97Fny0yfLPq3+1QBcoqHbc/wDPaH/v0f8A4qjbc/8APaH/AL9H/wCKpWETUUUUAQr/AMfsv/XNP5tU1Qr/AMfsv/XNP5tU1DBkN5/x5T/9c2/lU1Q3n/HlP/1zb+VTUdACoV/4/Zf+uafzapqhX/j9l/65p/NqEBNUN5/x5T/9c2/lU1Q3n/HlP/1zb+VC3BE1FFFAEK/8fsv/AFzT+bVNUK/8fsv/AFzT+bVNQwZDef8AHlP/ANc2/lU1Q3n/AB5T/wDXNv5VNR0AKhX/AI/Zf+uafzapqhX/AI/Zf+uafzahATUUUUAf/9k=",
      "image/png": "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",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=159x159>"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from reversi import *\n",
    "pos = Position.start()\n",
    "print(possible_moves(pos))\n",
    "pos = play(pos, Field.D3)\n",
    "png(pos)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "cf691a70",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "index: 1\n",
      "selectivity: 73%\n",
      "intensity: d15@1.1σ\n",
      "score: +00\n",
      "time: 0:00.000\n",
      "nodes: 132'661\n",
      "speed: ? N/s\n",
      "pv: E3 F4 C3 C4 D6 E6 C5\n",
      "best_move: E3\n",
      "result: [+00,+00] d15@1.1σ E3\n"
     ]
    }
   ],
   "source": [
    "# Edax is a bit tricky to install on Windows. You need to download the source code and compile it yourself.\n",
    "# With the location of the compiled executable, you can create an Edax object and use it to solve a position.\n",
    "edax_location = r\"G:\\edax-ms-windows\\edax-4.4\"\n",
    "edax = Edax(edax_location, level=15)\n",
    "print(edax.solve_native(pos))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "7e3f8223",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[+64,+64] d18@1.1σ C5\n"
     ]
    }
   ],
   "source": [
    "# Edax seamlessly integrates with the reversi library.\n",
    "# You can use it as an evaluation function in a search for example.\n",
    "def edax_at_depth_0(pos: Position, window: OpenInterval, intensity: Intensity) -> Result | None:\n",
    "    if intensity.depth == 0:\n",
    "        return edax.solve(pos)\n",
    "    else:\n",
    "        return None\n",
    "\n",
    "tt = HashTable(1_000_000)\n",
    "pvs = PrincipalVariation(sorted_by_mobility_and_tt(tt), tt, [edax_at_depth_0])\n",
    "result = pvs.eval(pos, intensity=Intensity(3))\n",
    "print(result)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "a5348240",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/jpeg": 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",
      "image/png": "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",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=159x159>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "level 1: [+19,+19] d1 D7\n",
      "level 2: [+19,+19] d2 D7\n",
      "level 3: [+19,+19] d3 D7\n",
      "level 4: [+17,+17] d4 H7\n",
      "level 5: [+19,+19] d5 H7\n",
      "level 6: [+19,+19] d6 H7\n",
      "level 7: [+19,+19] d7 H7\n",
      "level 8: [+17,+17] d8 H7\n",
      "level 9: [+17,+17] d9 H7\n",
      "level 10: [+15,+15] d10 H7\n",
      "level 11: [+18,+18] d11@1.1σ D7\n",
      "level 12: [+20,+20] d12@1.1σ H7\n",
      "level 13: [+22,+22] d27@1.5σ D7\n",
      "level 14: [+22,+22] d27@1.5σ D7\n"
     ]
    }
   ],
   "source": [
    "# Loading a position from a file and solving it.\n",
    "# Uses display() to show the position.\n",
    "fforum_61 = read_file(r'data\\fforum-60-79.pos')[2]\n",
    "display(png(fforum_61.pos))\n",
    "for level in range(1, 15):\n",
    "    edax = Edax(edax_location, level=level)\n",
    "    result = edax.solve(fforum_61.pos)\n",
    "    print(f\"level {level}: {result}\")\n"
   ]
  }
 ],
 "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": "3.10.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}