doc/README.ipynb

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 "worksheets": [
  {
   "cells": [
    {
     "cell_type": "heading",
     "level": 1,
     "metadata": {},
     "source": [
      "Scpy2 - Python\u79d1\u5b66\u8ba1\u7b97\u7b2c\u4e8c\u7248\u5b9e\u4f8b\u4ee3\u7801\u96c6"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "`scpy2`\u4e3aPython\u79d1\u5b66\u8ba1\u7b97\u7b2c\u4e8c\u7248\u7684\u5b9e\u4f8b\u4ee3\u7801\u96c6\uff0c\u5176\u4e2d\u7684\u5305\u542b\u8bb8\u591a\u6f14\u793a\u4ee3\u7801\u4ee5\u53ca\u4e00\u4e9b\u5b9e\u7528\u7684\u6a21\u5757\u3002\u672c\u6587\u6863\u4e2d\u4f7f\u7528\u4e86\u4e00\u4e9b\u4e66\u63d0\u4f9b\u7684IPython\u9b54\u6cd5\u547d\u4ee4\uff0c\u8bf7\u5728IPython\u7684profile\u4e0b\u7684`startup`\u6587\u4ef6\u5939\u4e2d\u6dfb\u52a0\u5982\u4e0b\u4ee3\u7801\u8f7d\u5165\u8fd9\u4e9b\u9b54\u6cd5\u547d\u4ee4\uff0c\u6216\u5728Notebook\u5f00\u5934\u8fd0\u884c\u8fd9\u4e9b\u4ee3\u7801\uff1a"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from scpy2.utils.nbmagics import install_magics\n",
      "install_magics()\n",
      "del install_magics()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": []
    },
    {
     "cell_type": "heading",
     "level": 2,
     "metadata": {},
     "source": [
      "Scipy"
     ]
    },
    {
     "cell_type": "heading",
     "level": 3,
     "metadata": {},
     "source": [
      "\u89e3\u534e\u5bb9\u9053"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "\u6f14\u793a\u5982\u4f55\u4f7f\u7528`scipy.sparse.csgraph`\u89e3\u534e\u5bb9\u9053\u8c1c\u9898\u30024\u79cd\u65b9\u5757\u5206\u522b\u4f7f\u7528ABCD\u56db\u4e2a\u7b26\u53f7\u8868\u793a\uff0c\u7a7a\u683c\u8868\u793a\u65e0\u65b9\u5757\uff0c\u4f8b\u5982\u6807\u51c6\u5f00\u5c40\u201c\u6a2a\u5200\u7acb\u9a6c\u201d\u4e3a\uff1a\n",
      "\n",
      "    BAAB\n",
      "    BAAB\n",
      "    BCCB\n",
      "    BDDB\n",
      "    D  D\n",
      "    \n",
      "\u4f7f\u7528\u5b57\u7b26\u4e32`BAABBAABBCCBBDDBD  D`\u8868\u793a\u3002\n",
      "\n",
      "\u8fd9\u79cd\u5e03\u5c40\u4e00\u5171\u67091\u4e2aA\u30014\u4e2aB\u30011\u4e2aC\u548c4\u4e2aD\u65b9\u5757\uff0c\u9996\u5148\u8fd0\u884c\u5982\u4e0b\u7a0b\u5e8f\u4ea7\u751f\u8fd9\u4e9b\u65b9\u5757\u7684\u6240\u6709\u5e03\u5c40\uff1a"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "!python -m scpy2.scipy.hrd ABBBBCDDDD"
     ],
     "language": "python",
     "metadata": {},
     "outputs": []
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "\u7136\u540e\u8fd0\u884c\u5982\u4e0b\u547d\u4ee4\u5bf9\u6a2a\u5200\u7acb\u9a6c\u5e03\u5c40`BAABBAABBCCBBDDBD D`\u6c42\u89e3\uff0c\u8be5\u7a0b\u5e8f\u4f7f\u7528matplotlib\u5236\u4f5c\u754c\u9762\u3002\u6309\u7bad\u5934\u6f14\u793a\u89e3\u9898\u6b65\u9aa4\uff0c\u6309\u7a7a\u683c\u952e\u64ad\u653e/\u6682\u505c\u3002\n",
      "\n",
      "![\u534e\u5bb9\u9053\u6c42\u89e3\u5668\u7684\u754c\u9762](/files/images/hrd.png \"\")"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "!python -m scpy2.scipy.hrd_solver \"BAABBAABBCCBBDDBD  D\""
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 5
    },
    {
     "cell_type": "heading",
     "level": 2,
     "metadata": {},
     "source": [
      "matplotlib"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "[matplotlib\u76f8\u5173\u6f14\u793a\u7a0b\u5e8f\u7684\u6587\u6863](matplotlib.md)"
     ]
    },
    {
     "cell_type": "heading",
     "level": 2,
     "metadata": {},
     "source": [
      "OpenCV"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "[opencv\u76f8\u5173\u6f14\u793a\u7a0b\u5e8f\u7684\u6587\u6863](opencv.md)"
     ]
    },
    {
     "cell_type": "heading",
     "level": 2,
     "metadata": {},
     "source": [
      "Cython"
     ]
    },
    {
     "cell_type": "heading",
     "level": 3,
     "metadata": {},
     "source": [
      "\u591a\u5173\u952e\u5b57\u641c\u7d22"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "`scpy2.cython.multisearch.MultiSearch`\u6f14\u793a\u5982\u4f55\u5bf9C\u8bed\u8a00\u7684\u5e93\u8fdb\u884c\u5305\u88c5\u3002\u8fd9\u91cc\u4f7f\u7528\u7684\u5e93\u4e3a[multifast](http://sourceforge.net/projects/multifast/)\u3002\u5b83\u80fd\u5bf9\u6587\u672c\u4f7f\u7528\u591a\u4e2a\u5173\u952e\u8bcd\u8fdb\u884c\u641c\u7d22\u3002"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from scpy2.cython import MultiSearch\n",
      "\n",
      "ms = MultiSearch([\"abc\", \"xyz\"])\n",
      "print ms.isin(\"123abcdef\")\n",
      "print ms.isin(\"123uvwxyz\")\n",
      "print ms.isin(\"123456789\")\n",
      "\n",
      "for pos, pattern in ms.iter_search(\"123abcdefxyz123\"):\n",
      "    print pos, pattern"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "True\n",
        "True\n",
        "False\n",
        "3 abc\n",
        "9 xyz\n"
       ]
      }
     ],
     "prompt_number": 1
    },
    {
     "cell_type": "heading",
     "level": 2,
     "metadata": {},
     "source": [
      "\u5b9e\u4f8b\u7bc7"
     ]
    },
    {
     "cell_type": "heading",
     "level": 3,
     "metadata": {},
     "source": [
      "cycosat"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "\u7528Cython\u5305\u88c5C\u8bed\u8a00\u7684SAT\u95ee\u9898\u6c42\u89e3\u5668PicoSAT\uff0c\u5e76\u4f7f\u7528\u8be5\u6269\u5c55\u6a21\u5757\u89e3\u51b3\u6570\u72ec\u6e38\u620f\u548c\u626b\u96f7\u6e38\u620f\u3002\n",
      "\n",
      " > http://fmv.jku.at/picosat/\n",
      " \n",
      "\u4f8b\u5982\u5982\u4e0b\u95ee\u9898\uff1a\n",
      "\n",
      "\u6709\u56db\u4f4d\u5acc\u7591\u72af\uff0c\u4ed6\u4eec\u505a\u4e86\u5982\u4e0b\u4f9b\u8ff0\uff1a\n",
      "\n",
      "* \u7532\uff1a\u4e0d\u662f\u6211\u4f5c\u6848\u7684\u3002\n",
      "* \u4e59\uff1a\u4e01\u5c31\u662f\u7f6a\u72af\u3002\n",
      "* \u4e19\uff1a\u4e59\u662f\u7f6a\u72af\u3002\n",
      "* \u4e01\uff1a\u4e59\u6709\u610f\u8bec\u9677\u6211\u3002\n",
      "\n",
      "\u5df2\u77e5\u56db\u4e2a\u4eba\u5f53\u4e2d\u53ea\u6709\u4e00\u4e2a\u8bf4\u4e86\u771f\u8bdd\u3002\u8bf7\u63a8\u7406\u51fa\u7f6a\u72af\u662f\u8c01\uff1f"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from scpy2.cycosat import CoSAT\n",
      "\n",
      "sat = CoSAT()\n",
      "problem = [[1, -4], [1, -2], [1, 4], [-4, -2],\n",
      "           [-4, 4], [-2, 4], [-1, 4, 2, -4]]\n",
      "\n",
      "sat.add_clauses(problem)\n",
      "print sat.solve()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "[1, -1, -1, -1]\n"
       ]
      }
     ],
     "prompt_number": 8
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "\u7528`CoSAT`\u89e3\u6570\u72ec\u6e38\u620f\uff0c\u6309\u65b9\u5411\u952e\u79fb\u52a8\u5149\u6807\uff0c\u6309\u6570\u5b57\u952e\u6307\u5b9a\u5f53\u524d\u5149\u6807\u6240\u5728\u65b9\u683c\u4e2d\u7684\u6570\u5b57\uff0c0\u8868\u793a\u5220\u9664\u3002\u9ed1\u8272\u6570\u5b57\u8868\u793a\u7528\u6237\u6307\u5b9a\u7684\u6570\u5b57\uff0c\u7070\u8272\u6570\u5b57\u4e3a\u6c42\u89e3\u5668\u7684\u89e3\u3002\n",
      "\n",
      "![\u6570\u72ec\u6e38\u620f\u6c42\u89e3\u5668](/files/images/sudoku.png \"\")"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "%exec_python -m scpy2.examples.sudoku_solver"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 11
    },
    {
     "cell_type": "heading",
     "level": 3,
     "metadata": {},
     "source": [
      "\u4fe1\u53f7\u5904\u7406"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "**FFT\u6f14\u793a\u7a0b\u5e8f**\n",
      "\n",
      "\u6f14\u793a\u65b9\u6ce2\u548c\u4e09\u89d2\u6ce2\u7684\u9891\u8c31\u6210\u5206\u3002\n",
      "\n",
      "![FFT\u6f14\u793a\u7a0b\u5e8f](/files/images/fft.png \"\")"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "%exec_python -m scpy2.examples.fft_demo"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 15
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "**\u5b9e\u65f6\u663e\u793a\u9ea6\u514b\u98ce\u7684\u58f0\u97f3\u4fe1\u53f7\u7684\u9891\u8c31**\n",
      "\n",
      "![](/files/images/spectrogram.png \"\")"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "%exec_python -m scpy2.examples.spectrogram_realtime"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 16
    },
    {
     "cell_type": "heading",
     "level": 3,
     "metadata": {},
     "source": [
      "\u5206\u5f62"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "**\u8fed\u4ee3\u51fd\u6570\u7cfb\u7edf\u6f14\u793a\u7a0b\u5e8f**\n",
      "\n",
      "\u901a\u8fc7\u7ed8\u5236\u4e09\u89d2\u5f62\u5b9a\u4e49\u8fed\u4ee3\u51fd\u6570\uff0c\u5e76\u8fdb\u884c\u968f\u673a\u8fed\u4ee3\u7ed8\u5236\u5206\u5f62\u56fe\u6848\u3002\n",
      "\n",
      "![\u8fed\u4ee3\u51fd\u6570\u7cfb\u7edf\u6f14\u793a\u7a0b\u5e8f](/files/images/ifs.png \"\")"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "%exec_python -m scpy2.examples.fractal.ifs_demo"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 13
    },
    {
     "cell_type": "heading",
     "level": 2,
     "metadata": {},
     "source": [
      "\u5199\u4f5c\u5de5\u5177"
     ]
    },
    {
     "cell_type": "heading",
     "level": 3,
     "metadata": {},
     "source": [
      "\u751f\u6210\u7ed3\u6784\u56fe"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "`GraphvizDataFrame, GraphvizMatplotlib, GraphvizMPLTransform`\u4e09\u4e2a\u7c7b\u7528\u4e8e\u751f\u6210\u5bf9\u8c61\u7ed3\u6784\u56fe\uff1a"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "%matplotlib inline\n",
      "import pylab as pl\n",
      "fig, ax = pl.subplots()\n",
      "ax.plot([1, 2, 3])\n",
      "\n",
      "from scpy2 import GraphvizMatplotlib\n",
      "dot = GraphvizMatplotlib.graphviz(fig)\n",
      "%dot -f png dot"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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2xz4+PiWOe3p6yjCMi8YYhiFvb2+lp6crNjZWERERCg4O1osvvihfX1+FhISU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\n796NR48eYfr06XB1dUXXrl2FLo2o2eRyOdasWYPbt28jOjqa0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      },
      {
       "metadata": {},
       "output_type": "display_data",
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       "text": [
        "<matplotlib.figure.Figure at 0x95f9d50>"
       ]
      }
     ],
     "prompt_number": 7
    }
   ],
   "metadata": {}
  }
 ]
}