algorithm_ch03_sort.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Ch 3. 정렬 (Sort)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "교제의 수도코드(pseudo-code)에서 사용하는 배열은 A[1,...,n]으로, 배열/리스트의 index가 1부터 시작된다.\n",
    "그러나 컴퓨터 프로그래밍 언어에서 제공하는 배열/리스트와 같은 자료구조는 일반적으로 idex가 0부터 시작된다.\n",
    "그러므로 교제의 수도코드를 구현할 때 이를 주의해서 구현해야 한다."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 기본 알고리즘\n",
    "* selectionSort (선택정렬)\n",
    "* bubbleSort    (버블정렬)\n",
    "* insertionSort (삽입정렬)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1. selectionSort (선택정렬)"
   ]
  },
  {
   "attachments": {
    "ch03_fig.1_theLargest.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "배열 $A[0, ... , n-1]$의 값을 정렬하기 위하여 선택정렬은 다음과 같은 정렬 원리를 사용한다.\n",
    "\n",
    "$$\\text{ \"$A[0, ... ,n-1]$의 값들을 비교하여 가장 큰 값이 $A[n-1]$에 위치하게 적절히 조정한다.\"}$$\n",
    "\n",
    "선택정렬은 배열 $A[0....,n-1]$에 저장된 값들을 크기 순으로 정렬하기 위하여 배열 A의 값들을 비교한 후, 가장 큰 값을가진 요소 $A[k]$를 찾아 마지막 요소인 $A[n-1]$와 상호 교환한다. 이렇게 $A[n-1]$에 저장된 값은 처음 배열 A에 저장된 값들 중에서 $n$번째로 큰 값으로 적절한 정렬 위치를 찾은 것이다. \n",
    "\n",
    "이제 처음 배열 A에 저장된 값들 중에서 적절한 정렬 위치를 찾지 못한 요소의 수는 $n-2$개로, 이 값들은 $A[0,...,n-2]$에 저장되어 있다.\n",
    "즉, 크기 $n$인 배열의 정렬 문제를 크기 $n-1$인 배열의 정렬 문제로 축소할 수 있다.\n",
    "\n",
    "이와 같은 정렬의 대상이 되는 배열의 크기를 점차 축소시켜 배열의 크기가 $1$이 되면, 정렬 문제를 모두 해결한 것으로 간주한다.\n",
    "\n",
    "선택 정렬에서 이와 같이 $k$개로 구성된 배열 $A[0,...,k-1]$의 요소 중에서 가장 큰 값을 찾아 배열 A의 마지막 요소 $A[k-1]$와 교환하는 작업을 수행하는 함수를 theLargest 라 하자. 정렬의 대상이 되는 배열의 크기를 점진적으로 축소시키면서 the Largest를 반복해서 호출한다.\n",
    "\n",
    "예를 들어 크기 $5$인 배열 $A=[3,2,6,5,1]$를 가정하자.\n",
    "배열 A의 처음 요소 값부터 마지막 요소 값까지 비교하여 최대 값이 저장된 index를 찾는다.\n",
    "배열 A에서 가장 큰 값($6$)을 저장하고 있는 요소는 $A[2]$이다.\n",
    "이제 이 값을 배열의 마지막 요소의 값($1$)과 교환하면 배열 $A=[3,2,1,5,6]$이 된다. \n",
    "이와 같은 작업을 수행하면 배열 A에서 가장 큰은 배열이 큰에 위치하게 되며, 이 위치는 $6$이 정렬된 배열 A에 저장될 최종 위치가 된다. 이제 $6$을 제외한 나머지 요소 값들의 정렬 위치를 찾는 작업을 수행한다.\n",
    "\n",
    "그림 1은 배열 A의 가장 큰 원소를 찾는 절차를 나타낸다.\n",
    "![ch03_fig.1_theLargest.png](attachment:ch03_fig.1_theLargest.png)\n",
    "[그림 1] the Largest 수행 절차\n",
    "\n",
    "\n",
    "* step 1 : 초기화. A[0]를 A[0,...,last]에서 가장 큰 값이라 가정하고, largest에 A[0]의 index 0을 저장한다.\n",
    "* step 2,3,5,6 : 요소의 값 비교. A[1,...,last]까지 A[largest]와 각각 값을 비교한다.\n",
    "* step 4: 최대값 갱신. step 2,3,5,6을 수행하면서 A[largest]보다 큰 값을 가지는 배열의 요소가 발견되면, 해당 배열 요소의 index를 largest에 저장한다.\n",
    "* step 7: A[largest]와 A[last] 값을 교환한다.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[3, 2, 6, 6, 5, 1]\n",
      "[3, 2, 6, 1, 5, 6]\n"
     ]
    }
   ],
   "source": [
    "# -*- coding: utf-8 -*-\n",
    "def theLargest(A, last):\n",
    "    largest = 0;\n",
    "    for i in range(1, last):\n",
    "        if(A[i] >= A[largest]): #if(A[i] > A[largest]): 오류. why???\n",
    "            largest = i;\n",
    "    return largest\n",
    "\n",
    "A=[3,2,6,6,5,1]\n",
    "print(A)\n",
    "largest = theLargest(A,A.__len__())\n",
    "A[largest], A[A.__len__()-1] = A[A.__len__()-1], A[largest]\n",
    "print(A)"
   ]
  },
  {
   "attachments": {
    "ch03_fig.2_theLargest%20sequence.png": {
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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "배열 $𝐴=[3,2,1,5,6]$에 대하여 정렬의 대상이 되는 배열의 크기를 점진적으로 축소시키면서 theLargest를 호출하며, 그 절차는 다음과 같이 수행된다.\n",
    "\n",
    "(1) input: $A=[3, 2, 1, 5, 6]$\n",
    "\n",
    "(2) theLargest call $A=[3, 2, 1, 5, 6]$ --> $A=[3, 2, 1, 5]$ $[6]$\n",
    "\n",
    "(3) theLargest call $A=[3, 2, 1, 5]$    --> $A=[3, 2, 1]$ $[5, 6]$\n",
    "\n",
    "(4) theLargest call $A=[3, 2, 1]$       --> $A=[1, 2]$ $[3, 5, 6]$\n",
    "\n",
    "(5) theLargest call $A=[1, 2]$          --> $A=[1]$ $[2, 3, 5, 6]$\n",
    "\n",
    "(6) output: $[1, 2, 3, 5, 6]$\n",
    "\n",
    "그림 2는 theLargest를 반복 호출하여 배열 A가 정렬되는 순서를 설명한다.\n",
    "\n",
    "![ch03_fig.2_theLargest%20sequence.png](attachment:ch03_fig.2_theLargest%20sequence.png)\n",
    "[그림 2] 선택 정렬의 예\n",
    "\n",
    "theLargest는 크기가 $k$개인 배열에서 가장 큰 수를 찾기 위해서는 $k-1$번의 비교를 수행한다.\n",
    "\n",
    "선택 정렬은 theLargest의 크기를 오른쪽 끝부터 1씩 줄이면서 배열의 크기가 1이 될때까지 theLargest를 호출한다.\n",
    "즉, $n$개의 요소로 구성된 배열에 대하여 선택정렬을 수행하기 위해서는 $n-1$개의 부분 배열 $A[0,...,n-1]$, $A[0,...,n-2]$, $A[0,...,n-3]$, $...$, $A[0,1,2]$, $A[0,1]$을 입력 파라메터로 하여 theLargest를 각각 호출하고, 이 때 수행되는 대소비교의 총 회수는\n",
    "$$ (n-1)+(n-2)+...+2+1= \\frac{n(n-1)}{2}$$\n",
    "가 된다.\n",
    "\n",
    "그러므로 선택정렬의 수행시간은 $\\theta(n^2)$이다.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[3, 2, 4, 9, 2, 7, 4, 4, 8]\n",
      "[2, 2, 3, 4, 4, 4, 7, 9, 8]\n"
     ]
    }
   ],
   "source": [
    "# -*- coding: utf-8 -*-\n",
    "#선택정렬\n",
    "def theLargest(A, last):\n",
    "    largest = 0;\n",
    "    for i in range(1, last):\n",
    "        if(A[i] >= A[largest]): #if(A[i] > A[largest]): 오류. why???\n",
    "            largest = i;\n",
    "    return largest \n",
    "\n",
    "def selectionSort(A, n):      \n",
    "    for last in range(n-1, 0,-1):\n",
    "        largest= theLargest(A, last)               \n",
    "        A[largest], A[last] = A[last], A[largest]  \n",
    "        \n",
    "A=[3,2,4,9,2,7,4,4,8]\n",
    "#A=[0x123,0x2154,0x222,0x4,0x283,0x1560,0x1061,0x2150,0x37]\n",
    "#A=[3,4,2,39,29,33,31, 22, 11, 16]\n",
    "#B=[]\n",
    "n=A.__len__()    \n",
    "firstIndex=0\n",
    "lastIndex=n-1\n",
    "print(A)\n",
    "selectionSort(A, lastIndex)\n",
    "print(A)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2. bubbleSort    (버블정렬)"
   ]
  },
  {
   "attachments": {
    "ch03_fig.3_bubble.png": {
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FBbZQoUInT548ffq0UFJKDh069Omnn3711Ve9e/du0qTJ3bt3IWcDBgxgh2UAUpjvvvsOAxH1FFItIiuQD61WixgNUxRtlazTJSYkpBkc74tnJXgAEUEFELuZnNeezWYzdjzUalRMn5rKfb38t5BaRC5cuAClwM6IESPeyEKDBg0QnmAB2bhxo1BSSiIiIn777bcpU6asWLEC0la2bFnhjK9MiI+P79Wr19GjR4cPH962bVvmJbKgcl6CsdntHh6YpGrMW0xRb2/vlORkjjqCOiAMgfRDMiD9Pr6+fv7+MFFPXz+/lJQUVi6PI7WIbN26FW1XqVKlZs2aYc3HFjRt2hT7AH2/YcMGZP6stFQMHjz4xo0bhw8f3rlz58iRI7FTv379L774Qg5hZ2RkJIRj27Ztw4YNg8wxL/E0GDmYlghGtD4+2AkIDPQPCNDpdIhwEZuwQpKDZAYVg454a7WoD9QNGgc1Qa2SEhPdFApe90b9u0gqIkajcdWqVWhHZDRhYWHhT7N//34k/Ddv3ty7dy/7B1Lh6+tbpkyZkJCQVq1aYaIiVkJwNGPGDCQ1rAQnFi1a1LBhw/Pnz0+fPn327NloOnaAeBGYsZi6BoMBSQSvYMQN+qFUIr6GuDGXE/QjxAVK5xonRyQVkQMHDly7dg1KUbVqVeZ6GgTt2EJoBJMXpUqVGjNmDHbWrFkjeKQnPT39888/HzhwYJEiRfbs2YPsjx0g/jGenp4mk8mZPfA5++Dm5gYFQar17PVdJF1Wi8UmjxPAIpFURAR1EJQiRxC3BwYGQmsuXbrEXJxAwoVtXFycYErPjz/+OHPmzDZt2hw5cqRx48bMS/yXIBBgezxQqVQQkcwcJQzREeIjl7h5RLomvnz58vr16728vFq2bMlcz1CyZMl33nlHr9dzD0aE8zLIcQRTYg4fPjxt2rRq1aotXbqULuj+zzgCEDchpeAjJchZkLlALBANMddjLBaL2tMTBZidl5GucZOSkkJCQsaPH1+2bFnmegZEfR9++GGnTp0g4dKkiw8fPrxz5w4zHoNenzVrFnZatWoleCRm+fLlRqPxp59+Cg7O/sV8Ikccq/oz6FNT0YBIap7NJiTDy9sbdcj2wG6G1ep48igpSa1WM1deRjoRgYIgtx89evTzexSh+8aNGydOnCjNScQTJ07Uq1dPOJmK6CM2NjY8PLxdu3ZbtmxBbvWczOvlkZ6efv36dewcPXp04cKFC7Iwf/7833//PSIiQihJPMGA8DU11ZKejugDpJvNyTqdv58ftlofH1aIBxqNBuPKS6NBDbEuOuqWnp6amoq6CZeiWbm8DM+MUQ4UL14coeZXX31Vt27dcuXKVahQAfnUjh07Bg4ciEnrw2P8paWlCaeEvv/++0GDBiE0e8LgwYM/+uijJUuWCCW5g/Wf70mHJzie3/XzMxgMwvtEMjIykDinGY1+/v58a4i/HhAQkGYyYSwh9ED17DYb2s1oMvFVt3+RV11EqlevjgX/jz/+GDlyZOvWrfv06TNz5sxjx45BQQoVKsQKSYtWq509ezaCjnnz5iHuwDYbH3zwASvKFzc3zFvMDTnoCKphMhrVnp74OR4OdHdHeuMjg/cAAHcPD19fX+SnSG1QNzelEtLGZX16SbzqIgLKli2LRR4ZzcqVK+fMmfPZZ58hwWHHeIAcvkePHohBEHcMGTIE22zUrl2bFeUK0lJMCSz4chARlUqFKYqZiWXfPyAAFQPsmAxA9by1Wse7Tvz9UTEXu9+HRIQgCFGQiBAEIQoSEYIgREEiQhCEKEhECIIQBYkIQRCiIBEhCEIUJCIEQYiCRIQgCFGQiBAEIQoXFBE3/FdxevQbfzbHZ9KBp5rPQxxqD1Vu7wZEVTm+Ekfj+YIGeWGBl4S7SvmcFlMq+bQZaiXbFxi55Tbo8yird12YteLY4knvcWnykTN21XyjyPghzZnt5GGSocWgxWOHNK1criBzScjWg1d3Hrl6YPFgZmdh0YaIZdvOzZ/QmdnScuu+7utZ4etn9ChbPPs7Uy5GP+gzZv0vX7UuFOzLXBIyf0PEvdikNTNyeAvE+Nnhl2Ie/fRZrm/VennY7PZ+4zb8+FmLZrVl9B0CAVcTkU37Lv2w8KTNamS2tKjU2l6tXhveuwGznTxKMrT7eKklQ5Fpz/56Kwlwc/coWcB70699mJ2F0B2Rv4Ses1n4vAzdzU1pt2egYqWLBjLXY67ciO85eh0Wfiz9zCUhSg9NzdeC//j2XWZnYeriQ2v2xvBqMaWH16yRzRtUL81s2eBqIqJPS09MMdtsfN5/q1Sq/H3UQf5PfUbXZrPffZDi+IoRj6Z2c3NDRlOsoD+zs5CKtko22XlIG0DFACrm4Z49p7ZYbbEPU7H2Mlta0IkatbJwfj9mZyEx2ZiaZuHVYiqVqkCQt7dGdi9DczURIQhCYujqDEEQoiARIQhCFK6WztyO1Z2Pemg0mpgtLRqNV4USAW88fRXGnG7dfTzabHF8g5W5JMTDwyPAR928bnlmZ+HG3cSLMQkmE5+2UiqVag/l23Ur+HhnT/KT9aaDEbfQblwGp1rtWSjYq361UszOwsXoBzF3U8xmPi3m7e1Vp3LRgsGye6+i613iPf/LqktqhZ7Z0pKu0HZoUOybD5sy20l8or7V0OUe7gq1O4erzmnpmf7eqgN/5nSJd2PE/C3X1Zl82irDprDa3ddMebds8SDmeszFqLj+34W5K0zuKg4tZrK6ly+mXTW1B7Oz8O2cPTtPxnm68bk6k67w+XlY3abyu8TruH/GlVi5I7JB77lW56cTpf91GbH827l7WFUeAxGp0nnm8Qu3sxWW5vfnpjON+s5jVXmaBetONev/R7bykv2u3Iiv+u6smDsJrDZZ+CsqDof+jk3K9k+k+U38fW+Xz5ezqjzN2F/Deoxama28NL90a0a9nnP2nIhmVZETrnlOxPEhdjc3Dr/cb2d0V/GpkupFd1hmKy/ZDw3CapAL8mwx1ClbeWl+Hu4qVgP54ZoiYueUoz3nz9rtfKrEqyleyAsbRJ4txqs5EVqzPflBV2cIghAFiQhBEKIgESEIQhQkIgRBiIJEhCAIUZCIEAQhChIRgiBEQSJCEIQoOItIRkZGeno6MwiCyIPwFBG9Xh8SElKuXLk1a9YwF0EQeQ2eIrJz586TJ0/eu3dv+fLldk7vwiPEkynXO+sJaeAmIlANBCC+vr7FihU7dOjQxYsX2QFOILEym80mowOLxcK8XDlz5syiRYsmT57822+/7dixAxVjB2QDem3UqFH3799nNleE1PhZ5LM+WS0Wk8mUlpZmxv+ZTHYe75d5GXATkejo6F27dtWrV2/QoEEGg2Hz5s3sgORgkBnT0lJTUw16PTrYTaFIQ4X0elsGn7c9gwcPHrz33nu1a9ceOHDg6NGjP/3007Zt2zZv3vzYsWOsBG8wB5YuXdqqVau5c+ei0ZiXK/rUVExOm82WabcLP6Wb47sh0BFWgh+oDAYV8neVUokdrFJeGo1M2k083ERk69atWPnbtGnTt29fDw+PFStWYFyyY9KSkpzs7u6uUql8/fz8/f2dA0/h4+ubkpLCK1BHinfq1Kn+/ftDW0+cOLFly5bevXtj54MPPoD4skKcePTo0cKFC1u2bImOQwwSGBioVPJMip+Q4XiHjB3xCKboE9ItFnQuK8EJ1Co5OVmr1SpVKuwHBgV5ajRGk8ndw4OVyOPw6X6r1Yp1DL3bvn37EiVKNG3aNCYmZs+ePeywtGAOYPxBPjw9PT3Uao2XV0BgYFJSEjy8FrHSpUsfOHBgwYIFHTp0qFOnDlpp2bJl77///s2bN1etWsUK8QDxWs+ePRE8HjlypFOnTqgnVgJ2jCsOuc/MhIL4AX9/4af1wVrgiyWKFeIEIpCAgICU1FRsMbpQH4w0b29vLy8vViKPw0dEDh48ePny5Xfeead48eIwu3Xrhi2vazQYbehRZjhBMIIehoIgiWUuaQkODi5XLvtb8CAi2N64cUMwuYBoETry7rvv7tixY8mSJZiiWA/YMa44XrDl+Mal0qEmcsL5jj27TqeDuDGXy8FHRNatW4dt165dhUj47bffLlKkyM6dO2/duuU8LilC/pINVMxxTk5OI1IIy9Vqnt8uCgoK2rhxI7qvdevWmK5Y+dkB3mCiAvRajr3JEZPR6OPjgwBEbhX7F+EgInFxcRiFhQoVgnYInqJFi7Zq1Qp5I5J/wcMdjEhEm4LGyYT9+/dji9RPMLmAUBxyL8wHNJHglANCACK3iYpaId1DaqzRaJjLFeEwSbZt2wa9QEgMHWEuhaJ///4YAcuXL5dJeGw0mVQqlVoep770ev1MJ23atOncmc/3t2XOk1wG8SPmrcVikUOUBJ1FOoMQEnXDwDYajSnJydiikoLquQZSiwjabvXq1dgpVqzYiRMnDjs5duxYSkpKwYIFL1y4AFMoyZG0tDRvb28k/2pPT+aSHOjs+PHjBw0a1L59+yZNmkyYMAHmhg0bPPlVSc4IuYxWq/VUq91VKmNamkGvNxgMfOeq8KUhrEYYUfrU1DSDAQJny8jwcHfH6BKOugBSi0hERMSZM2ew8/XXX9erV6+RkwYNGiDHfvDgAZqV4w0jAkhiM6xW9Ld/QADH8BjRx8KFC5csWYLA7ezZs4jafH19ERizw8TTYLX38va2ZmSkYZ23WNBxWPl9fHx0SUkcdQR/WqgJhpOHWh0YFJS/QAG1Wq1LTvb394eOuEY8IrWIQCMwPd5+++2RI0d+loURI0YMGDAAQwEF4uPjWWlpQY9ixUDajzXNz99fOJHJC6jGvn37Ip2Eh4e/9dZbaDGorXzuN5MV6CyEIU/AAhAQGJiakoJ5i6iEFZIcLIqQDOgI5AxrgJDXeGo0Af7+yTodgiakXaxoXkZSEUHOEhoaqtFoZsyYMWXKFCHPF5g+fToW3pCQkHv37u3cuZP9AwnBcoGVwUujQQyMNY37zQWoQMWKFStVqlS1atUWLVosX758zpw5N2/e/PTTT3U6HStE5I7jdgyNBjrC8QSEynliHn8dI0rwCKicauKt1XK8K/pfRFIR2bt37507d+rWrYu5wVxP07NnT2whNBKf+ceCYDQalW5uRpMJixjfGCQ3Pvzwwxo1apw7d+7y5cvMRTwXRAFQkIyMDF4i4qZUWqxWDKdn82J3Dw+L2ewap0UkFRGoA7a9evUSzGdp2bJl/vz5jx8/fvbsWeZ6+aAjEX04PjLm6Ymwk+N5kOeDsVimTBnsIGISPMTzEbqS41kHhBt2my3DZntWxVA3N5VKtoPtv0I6EcESumnTJszSZs2aMdczFCtWrE2bNiaTadmyZdKsHvgriHg9PT2VKpVG3hc+UNW///4bO2glwUM8H6SoSGo4xpX406gAdOLZiAPBr6NuLvH4jHQiolKpRo0aNW/evBIlSjBXTiDnHzt2bJUqVaTJaITntSBbWq2WuXiDof/XX389++D/n3/+GRER0aBBg2fviCcwS7OtOhg/JqPR8bSbWo2IgHklx8vbOzhfPtSE2U4w5KAsusRE6Ahz5WWka1zowuTJk3v27Pn8EK5atWqTJk0aOHAgRIe5XiYYfP4BAVjlkdFkw/FukbQ0ic/OAIz4r7/+unnz5gjHDh8+fPny5T179nz++ecDBgzw9fX95Zdfsj3pwxFIMMczDllBfzluMjObIcEAOykpKX7+/o7HZ318WCEeaDSaZJ3OR6tFfaAdqBtWLMcVXw8PjZeXNIP8ZcNNoWVCJkQCQmKzYZvth8mMoSm9iGBgVapU6fTp03369GnUqFH16tVbtGgxc+ZMyEpYWFjNmjVZORmAGQI4rvNPULq5ISd1LO9JSUmJiRlWqy0jA90H2eV73gGNAxVL1euRLFvM5sTERFQMsgs0slkMRPKqi4iHWo3ENSAgAEMwGzgKP5e14qeffjpx4sSvv/46evTowYMHYwchSXh4eL169VgJGeDj44OKhYaGFi5cmLn44ePri1UeYZGXFxIIb/QaAkzUUA5LPYIOXz8/aBmWI623N8YbTG+tlqe2/au86iKCHlVDMDSaHH84xGUdw/JVq1atTz75BGqCiYqdkJAQOSz4WcHcQKDUsmVLOZxOQjehGx0vEPHzw08Od/pkBX2HseTnrJvwShF2wCV41UWEIAiRkIgQBCEKEhGCIERBIkIQhChIRAiCEAWJCEEQoiARIQhCFCQiBEGIgkSEIAhRkIgQBCEK1xQRJadnrp7zV1UqPlVSKp/3dzk+m+auesHYe2GBl8Tz24RXg/FqjX+CC4pIpkKRmmY2GNOl/9nsjrd7s3o8jcFoyVZYmp85PeM5j//Y7ahY9n8izS817QXfOU4x8OlEi9WeW4vBn2HPzFZemh9ag/8LF3LBTQ4vg/gXWRN2YcbKv2zpOi5vxVNqAjo3LD56YBNmO4lP1L8zZCnETeXGoU6ZSnWQj3LPwg+ZnYXFmyLmbbpmN/N57bM9U+Gm8lw79b2yxYOZ6zGXoh/0nbDDbk17bhT10nDX/qe494rJ3ZmZhUm/79t24r7dnMxsCcHQUWkCpnxSv3GtsswlG1xNROIS9NG3demcvuav9lQXL+hbplgQs51YLBmnLt7F+ib9q0mAyl3l6+1Rq5Ljw+nZuBefcuNesiWdz1cLsKq7uyvfqlzcW5P9kVZ9Wvq5q7FWaw6vJpUAdw/3YD/Nm6/l8H6DmDsJ9x8ZLfxGV+Vy+YP8ZfcWElcTEYIgJMY1T6wSBCEZJCIEQYiCRIQgCFGQiBAEIQoSEYIgROFqV2fOXL67aX9Mki6Zy62FAQEBjasXbVm/ArOdpBrM05ce0aWarTy+3uzlpSlRwGf4ByHMzsLx87e3H7mpS+Zw1wNQKZU+3uoRfRoWCMr+nud78SlzVp/SG0w2HhfFtd7aiqUCBrz7FrOzsOPQtSMXYlNSUpgtJZmKwED/vu0qVyiVn3lkg6tFIlF/J+w++be7u9KDx2/3sahTf91hVXmMKd267XBMQrIxW2FpfmiQjfsusao8zeWYB3tO3spWXrKfwWjZe/oeFJbVJgtJKUYcMlus2f6JNL/Iq/fDjl5nVXmak3/d3nsiOlt5aX4qldueU7fvPOCj+C8AkYgrEbr9XIPec5ghOd1Hhk6Ys4cZj4lP1FfpPPNi9ANmS8vqnecb9p3HjKeZv/ZU8wF/MENy7j1IrvrurJg7CczOwl9RcTikSzUyW1omLzrw7nDHp6Cf5ZtZYR98vZoZklO/55zdx6OYISdcLRJxPvXgZueUozmfnWH72Ugz8bkx1GzJyC2xQ1U55rKIRNheLuhf9HDNS8JiteX2ACfc6GJmSEuG8w8/5zEojtCJVYIgREEiQhCEKEhECIIQBYkIQRCiIBEhCEIUJCIEQYiCRIQgCFGQiBAEIQoSEYIgRMFZRC5duhQREZGamspsgiDyGjxF5O+//65fv/5bb701e/Zs5iIIIq/BU0Q2bNggxCAbN27U6/WCky+yfS2C8KQTM+SBxcLnaaC8juw6UjTcRMRoNK5atapo0aI1a9aMjIw8efIkO8CDjIyMtLS0lOTkpMRE6Jo+NdVqtbJjMiA9PV2XlIRKMpsfNpvt1KlTn3zySdOmTevWrduoUaOhQ4ei+9hhrsycObNv3749n+H06dOsBFfQdBhjqSkpGGO6xESDXs/rwyb/OtxE5MyZM2fPnm3RosVXX31lt9tDQ0PZAckxm80moxFT1LG0ZmZi6+3tbXLCSvADWoYYLc1gkMnjmxEREXXq1Jk7d25sbKy7uzsS0nnz5jVp0mT58uWsBD8WL168dOnSlc9w69YtVoIfGGNQDbWHh2OMuTneBIaeJRERC3oX244dO7Zt2zZfvnxbtmy5d++ecEhiDAYDwkuNRhOcLx9+QUFB5vR0u80mKAsrJDkYYSkpKVi4MPIw5mSSO0Du+/XrhwUAIHjEdvbs2VhgP/744ytXrrBCnIDoBwQE7Nu3D0ongKAJYQgWKlaCE9ALs8mEprNmZARieAUH4+fr5+fl5cVK5HH4iMjDhw83btxYuHDhhg0bYvZ26dIlOTkZOsIOSwviDnSnp6enUuloDWy1Wi226G5e3zoDWLj8/f1VKpXNbndzVkwOIAzBgl+tWjUfHx8ER/nz5x82bBhSBuSA+/fvZ4V4ACFDyFaoUCHkWUiQBd56661atWoFBgayQjzAAoDG8fDwwDAD6FCElM6v/7nDyQrlcfiMzm3btj169AjagaUDZufOndGsq1ev5hLgoWuf7U5PjQZ9jzyW2ZKjVqszrFasV6geTAw+wc8XQWezUaNGDWwfPHggmFyAgiBYw3CSW46AWmk8PbHFiGIul4ODiCBHWL9+PVSjffv2gqdevXpVqlQ5duzYuXPnBA93sFw4vp3L7zw65ANLlUy04/kkJCRgW7x4Dp/7lQxEskI6A/FlLnmAWmEcaX18mO2KcBARJM979ux58803Q0LYK8ix2Hbs2BGBH4IRwcMdi9Xqh2ns7s5sIhegIGvWrEHqx/fUA8JGxCBIZ2RyBlrAcTIrPd1sNgvSBjVBbIutcNRl4CAia9euRVP27t0766LRp08fLy+vLVu2JCUlMRc/0M2IP5Fme3p6MhfxGDSO41qDwRAdHQ356NSpE7ps8eLFpUuXZiV4oNPpMGMPHTrUo0eP995774svvliyZAmc7DAnEHSjubAUoW5pBkNqSkrio0cpyckpKSkyOVP+ryC1iCB33bRpE3ZiYmJmzJgx2cnUqVNDQ0Ox8t++fXvnzp1CSV6gv9HNWFqRyVAk8iwnT54sU6ZM0aJFK1eu3K1bN6PRGBYW1qFDB3aYE6hGgQIFoPvbtm3bunUrhla/fv2aNWvG93QvBhMiI6VSmazTIVByjCi1Giuon6+vyWiU2+mb/xmpRWTfvn3Xrzs+6jFv3jwsF6OdjBo1auzYsfHx8fCvW7eO4+lMLB361NTAoCD0OkSNeYksBAYGNm/e/O23365Zs2a5cuUePXqEfly/fj07zIkGDRrs3r372LFj58+fP3fuHHQNIUlkZGTXrl3/+usvVkhyMJJVSqWQxfj6+aHpHFd48+VLMxoRdxv0eo5D/V9EUhHBIi/kMsOHD9+wYcPqLMCPkDg4ODg8PPzatWvsH0gLIkysD+hdLGv+zstGxLNUrFhx2bJlUI2DBw9ixn733Xdnzpzp0qXLqlWrWAke5M+fv0qVKhC1smXLVqpUqWXLlohtR4wYkZiYOG3aNF6nIRB6eKjVVqsVw+nJFUDEJj4+PtCRoOBg10hqJBURZCubN29Gf48bN65z587vZwGjEPFn69atEeMh02b/QEIQCRvT0hz3rVqt3t7esjo/J0+Q62m1WvQagkeYkyZN4vN9ydz5+OOPEU4ePXqUV8WUbm5YMnO8JUStVmOMUSTyX4PRZjKZ2rVrh6COuZ6me/fu2G7cuDFV2pcD6PV6D+fZL29MC232T8MSz6dhw4YVKlSIiYm5ceMGc8mDYsWKFSpU6NatW+hf5pIWpUqFWCPHBQlpDsJe5DnMzstIJyJms1lYshB0CJ5nqV+/fuXKlS9fvrxv3z7mevmkm81QEFQPMSddjvkfUKlUvr6+2MrtHo0nt7EKN+xJj1KJWMTNmpGB9Ym5HmOz2728vV3jzL10IoKo8uzZs2+88UadOnWY6xkQfHbt2hU7SLmlifSQLSPqwXLh5eWV4+2YxAu5efPmpUuXihYtWr58eeaSB2FhYXFxcVWqVOF15zuEFcuSRqN59twHPFi9SET+O8qUKQNpCA0NFW51z40hQ4bs2LFjwIABz4r3yyAjI8NDrRa2zPUYaSqQh0hMTJwyZUq2u4r//vvv4cOHp6enf/zxx7ziOKw34eHh2a7CHDhwYMyYMVgYUDGON/4iCHJXqdA+GGPMhRDJYPD18TEYDM+OuryIpCLSqVMnLAvMzoV8+fK1bt26adOm0og0xh9EDR2chCmSkIDNE/Spqck6nRxOfUHOkC8wgx+oxtSpU2vXrt2xY8eRI0d+//33AwcOrFGjxu7duwcPHoy5yspJDjRixowZiHB79OgxduzY0aNHt2/fHkPo1q1bEydObNu2LSvHA7WnJ9IZhNgYTgDpFQaVh4cHFATps2ucv3/VA3j0otlkwihEXoPAA/MkG6wcV9Rqtdls5j7goLbfffdd9erVkSZMmzYN++vWrStbtuyqVavmzp3LNzLv1q1bhQoVUJMffvgBSnf8+HGICMKTb775hpXgBxQkLS0NYyzTbkcMgkGFwASrgmvkMuBVFxHkq1grgoKDHS8TeRo/f//AoCCOkfATMOD8AgK41wSD/qOPPjp8+HBkZOTRo0eFByaxxQTmfjqpX79+R44cQcWwPXXqFHb27dvH/U0iAlB/xzU/Hx8vrRbDzN/f39fPT+UqCgJedREBwin0HGElZACqIpP6eHp6VqxYUXjDNsIQ+bwUA1JbtWrVBg0a1KxZk+8jxTmCNUCNxvLwUOaFJ7P/K0hECIIQBYkIQRCiIBEhCEIUJCIEQYiCRIQgCFGQiBAEIQoSEYIgREEiQhCEKEhECIIQBYkIQRCicDURyczMdMN/Fac7xJVKt9we2fPy5HN7uNpDlVuVnG3F7QlDb80LGkTrxecxeQ93Ze4thi5m+xLjrlJiTMvkidBsOD5QznZdglU7z89ccXzmV23cHI+bSM3EPw7UebPo+CHNme3kYZKhxYeLP+tVv2Lp/MwlIeHHow9G3Diw+ENmZ2HRhog/t5yb9kUrZkvL3QfJPy08vG5G97LFg5nrMRejH/T5ZuO3QxsXCOLw4bgV288/SkpdM70Xs7Mw/rfw81EPxwxsxGwJybDbh/+8ffKId5rVLsdcssHVRGTboSuT/zxl0PN5Ma/WN6DnO6991K0us50k6AxdvliZarDYbP//WhrJUGs0ZYv4rprak9lZWBN24bc15w2pfL7w5HwgTbl6as+SRbK/pOrazYf9J2wymc2ZjtczSI3Gy+et1/P/OiaHL+nMWn50zd5oo4HX6PKb9nmzulVKMls2uJqIpFsyDEar3c7nTUJuSqWXp3u2ONyemalLNWE+cGlqNzelu7tbgK8Xs7NgMlvTzNZMTp9TcDyU7OYW6KtRqbJnCBk2e4re7GgvLi2mVCKj8ffJ4fvbaUaLyZLBq8WUSpWvVo38lNmywdVEhCAIiaGrMwRBiIJEhCAIUZCIEAQhChIRgiBE4WonVi9FP9h76nZyiqRf4XyCn59frdcLhNQozWwnaUbL4k1nUtPSrVYOl3g1Xp6Fg737dKjJ7CxEXos9eOZuCqe2UqmUWi913441g/yzXzl6mGhYseOCwWi22zhcB/H29i5bzO/dtyszOwuHIm6eufZQn8rho5xubm5+fj6dmlQoVTTnT9ByxNVEZOWOyJmrL5YpqOLyWuOYWHP7kJLjhjRjtpP4RH2rj0ILBWv8tRxuwYxLNNltlsNLhzI7Cws2nF6w+VrZQnxeO55mssYmWVf/3Klciew3m/0VFTdgYnixYKVGzaFufz9IK57fa+2MHG42G/dr+K5T98oXyeF6+cvGnpl5K97247C6zevI6zODDhzX4l2I0O3nQnrPZYbkdBsZOmHObmY8BiJSpfPM89djmS0tK7dHNuwzjxlPM3/tyeb9/2CG5Ny+r6v67qyYOwnMzgJEBIcSdI5PtEjPzwv3vzd8OTOe5ptZu3p/vZoZklO/55w9J6KZISdc7ZwIAhBEVryCK7s9M7cIKN3C5/43q82eW0wmtBUvzJYXJHemdA7ZH7BmPK/FnN8444ANoQjblR2ueWIV6sj2ZAOvKsmwKQReWDHZ1pwLcm4NujpDEIQoSEQIghAFiQhBEKIgESEIQhQkIgRBiIJEhCAIUZCIEAQhChIRgiBEQSJCEIQoeIqIzWabMGHC0KFDz5w5w1wEQeQ1eIrIkSNHJk6cOG/evDlz5jAXQRB5DZ4ismbNGqVSqdFowsPD79y5w7z8QGRkSU+3Wq1ye04B9bFYLKges3mD+mRYreloK4vFzunV58/y4MGDqKiomCxEOzEYDKwEb8xmc0RERJiTK1euuMzDQdxEBF2+ZcuW6tWrd+vWLS4uDjrCDkgO+jItLS0xIUGXlISJkZKcjH2DXi+TPoZ2YBqgVnIQEUgGWibh0SPUBwqi1+uTEhPhkYOUfPrpp/Xr169Spcqbj8E+2LNnDyvBD7TPggULatas+dZbb7VyUq1atZ9//pkdzuNwExF0LbQDrfnll1/CXLJkCa9Jgjmg8fQUYiKVu7va0xNOH1/f1BQ+3yh6AlZ7yEeyTqf18kLjcHnNUjYQpmE+uLu7a7y8lCqVh9rxmiUfHx+oCXcdwdqekJAQEhLSokWL5k6aOSlQoAArwQm0zGefffbhhx8mJiaOHTv2999/nzFjBippMplYiTwONxFZunQptp06dXrjjTcQj5w6dQqRnnBIYjIyMtItFv/AQAiHt7e3n59fQEAAohJ3lQrZDSskOZA2/DA/MQQTk5LkoCBApVJ5enoGBgVpfXzQVr6+vgGBgTqdzlOttmbwef2HAFoJQla0aNHVq1dv3rwZQS7Y6gThCSvEiVmzZs2ePRvr5enTpydNmjRkyJDPP/8cFRs9ejQrkcfhIyLnz58/dOhQnTp1EHPCREaDlXbdunXCUYnx9fPDfMj6DXB3Dw9MFYQkWHiZS3KQWLkplYhEgoKDER8hUGIHuIIYxFPz1Kfh4EFzQVys/AQXpKamms3mfPnyeXk53l0IzX2CUIAXjx49QtxRsmTJP//8s3jx4szrrCFGHTPyOHyG5oYNG7D+d+3aFYMPZuvWrbVaLUQE4ahQQEowC9heFjBv09LSbPxWV0gbVnsgNBH3yfAcVEqlHako11NIgoggipRbQyEgunfvXp8+fQoWLMhcLgcHEUF/r1mzBv0N7RA8r7/+etOmTe/evbtv3z7Bw53MzEyHuPBb/9VqdY7qJkMsViuCEXfn+RFepKSkmEymoKAgtBtzyQDE1/Pnz0dw1Lt3b+ZyRThMEiQy0dHRzZs3f+211wQPVg+hlZctWyZ4uJNuNqPvPTw8mE3kAtIud5UKCwMSQObigV6vR2yLqA3LfmxsrByuZIG4uLhLly5VrFixXLlyqCFi7YULF27btg3rJSvhEnAQkeXLl2PbrFmz5OTkJCc6na5SpUpIaA8ePIhGF4pxxOK8/QGLG9+JIU/QMljzkTuYjMZknc5qsWDq+gcE8M0jkAgjeNy4cSNmLAJbTNoOHTqEhYWxw5yAiEBkK1SocPjw4Vq1aiF/HzRoUPv27bE/depUujrzP3Lz5k00KHamTJlSr169uo/p2LEjpMRoNG7evFkoyQtLeroxLQ2phFarlcnpTFmBBT81JSXTbsekRU4KwZXDed/g4GBkx927d0dIi/UJUeTWrVtbtWr11VdfsRI8ePDgATQXAtetW7fSpUsjDEEiP2bMGIzzUaNG/fTTT6xcHkfqvkfXxsfHFytWLCAgAO2LwQewiCFxKF/e8VUehHwI/ITC0oPeTTMaHXVSqbJdhiAEIK+BQUFoH2ShRpMJUmJAh6Wm8r03D+vQpk2bVq5cOXfu3A0bNpw6dQoDCcqCtWrFihWskORgqGO7b98+RB87duwYMGAAgpEffvhh+/bt0N9ff/31woULQsk8jaQigtBu1apVkIx58+ahm8+cORORhUOHDiEW/euvv44ePcr+gYRA0dIMBse1SqVS7emJMIQdIJ4GAqtWo4U8vb29fXx8AgMD0aG+fn6QElaCB0KtmKFQ+Pr6vvfee5il2F+0aBHCJcEvMcI5tUKFCk2aNAk1FJygYcOGPXr0QL588uRJ5srLSCoip5288cYbLVu2xCh0XsFkIP4sUKBAz549USw0NFQoLxkI0Q0GA2YFcn1sNRSD/GMQkmBRTXj0CBk+xyviOYJ0pkiRIljtkSkzl7QULVoU28qVK+fPn1/wPAFObG/cuCGYeRpJRQRhCLZIXHO7eNmpUyeIS3h4+K1bt5jr5YP0Hquo1ttbbzBgRXWnKzL/JdARBCMI5eT2kTZ/f3+EJFjweUUiBQsWRMsgAEfbMNdjXOZOMyCdiEAXICII6tq2bctcz1ChQoVmzZolJCSsXr2auV4+iEEw2pDey/BWpbwCJgmaTm6thyEXGxtbvnx59C9zSUvJkiXLli178eLFxMRE5npMdHQ0tjgqmHka6UQkKiqqWLFiAwYMQDrDXM+ACKVv375vvvkmul+aW85tNpvRaExOTkZKxVxELmRmImjL4Sk74VZRD353x6FWOY6WefPm6fX6hg0bIh5hLmlBs/Tr1y8pKWnBggXM5SQ+Pn79+vVI4evUqcNceRnpRKRFixaQ5Pnz5wv3cedGly5dkMSimDQ3emVkZGi1WoxC7FgQd2YBJsJgvhcdZAVaKVmnM6aloa2EZsHWZDRa0UwWC0cVRjW+//77H3/88UkWfOnSpeHDh0+bNq1UqVJjxozhGCL16NEDSc233347Z86c1NRUeM6dO9e7d2+sqV9++WWVKlWEYnka6UREbrGuAOaDj68vBEufkpJmMGCGPPnhEOaMHO59xCRBQM5dzpCK2jMzvbVaXVJSwqNHjx4+ROKJ6ANN5O6BQITb/eZYlq5cufLNN99Urly5ePHiCHirVas2a9asWrVqLVu2DDrCyvEAf/2PP/7AQvXxxx8jsUL1atasuWfPHphjx45lhfI4kp5YlSGQD6yibkqlu1qt8vBQubs/+WHKYsJkvTLHC29vbwRFz4/gJADLQEBAQFpaGvQClQEaT0+L1ern74/InBXixIQJEzAnkbkULlwY8xZJBILZffv2hYSEsBL86NChw4EDBxAZlSlTBiKCjH7jxo2//fabrB7zEcOrLiLoSICcGelrNrB6IESXg4hgiqIm3EUEIO5As/gHBAQGBeHneNRYq5VDxSpVqjRp0qTt27cfPnx4//79UJBBgwbxOhXyLFWrVv3ll18OOlmwYEGnTp3YAZfgVRcR4n/DcSVGfvkpFF+j0ch2hff09JRt3cRAIkIQhChIRAiCEAWJCEEQoiARIQhCFCQiBEGIgkSEIAhRkIgQBCEKEhGCIERBIkIQhChIRAiCEIWriYjzUdfMrN/ElBKV0i23R219tXy+PuGt8cjthWNwc7xz3e9FDeLvw+cllZ5q1XNazF3Fp8ncMbbY8JYdGPRyrNb/zModkdNXRLzf4jUuXb1xf1Sr+mXGD2nGbCfxifpWQ5c3qlmySH4Ob9z4K/rhnfuJh5YOYXYWFm44/fu6c91aVmS2tCQmm/acur1mynvlSgQz12MuRj3oN2Fbq/olXyg0L4Ojkfc83TPXzujF7CyM+y38wJm7HRo7PksgMXZ75tq9UZM/a9K8Doe//nxcTUSOnL21dNulhMQkBQ8VCQwMalO/1HstHO/gfUJyqmn0zDDMGWsGh8+De3l5lSni98Nn7zA7C3tORK8Ov56YlP3NfdLgrnL31Xr8OLx14XzZtfXv+0kT5x1M1qfl+CK1l42Pj2/V8sFf9mvE7Cys2nl+96m7Ol0Ss6UkUxEcHDi8R63KFQozj2xwNREhCEJi6MQqQRCiIBEhCEIUJCIEQYiCRIQgCFGQiBAEIQpXuzpzMOLGwk0XE5OSuPx3BQcHt2tQqlvrqsx2oksxjpi6IzHFZLFwuMTrrfUuV8RvypdtmJ2FsKPXV+y6lpCQwGxp8XBX+Wo9p33ZpkgBP+Z6zK17SWNn701OTbPZOFzi9fPzq14h3+hBTZidhRXbInce/zspicMlXjc3t+DgwJEf1K7yWhHmkg2uJiKrdp6ftuxk3/aV3XjcKLI6/HKLujncbPbO0GUt6pYtXjD7bJGAyGsPYm4/zPlms/Wn564707/DU5InGYnJxq2HY9ZM6ZLjzWZ9J2zr3KQsl5tWD565rVTYcrvZ7HDk/S7N/8NsCcE8XbLt0uThTWV4s5mjcq5E6PZzDXrPYYbkdB8ZOmHOHmY8BiJSpfPMyzfimS0ta8MuhPT5nRlPM3/tqeYD/mCG5MTGp1R9d1bMnQRmZ+GvqDgcStGbmC0tUxYfeHf4MmY8zTezwvqMWcMMyanfc87u41HMkBOudk7E+R0DN16fp7fZM3N7GkWfls72pMVotub2JBHcHMPQ1Bc1SIrBzPakJd1ie06LZfDIsAD+LvpKhp/pAHRilSAIUZCIEAQhChIRgiBEQSJCEIQoSEQIghAFiQhBEKIgESEIQhQkIgRBiIJEhCAIUXAWkbt37169etVisTCbIIi8Bk8R0el0HTt2bNasWWhoKHMRBJHX4CkiW7ZsOXfuXFxc3MqVK61WDo/JEwQhHm4iYrfbV69eHRQUVLp06cOHD0dGRrIDPMjIyNi7d+/UqVP79OkzcuTIdevWGY1GdkwGXLlypVu3bmfPnmU2Vx48eIDIcezYsb169RoxYgT2k5OT2TGuHD16dI0TjKusIGVmJfiSnq4IC1N8842iSxdF376KmTMVMTHsUF6HPc0rORcuXPDw8Gjfvv2sWbNQjVGjRrED4li5I7JB77k2u53Z/4DTp0+3aNFCaA1/f39hp1GjRqghK/GP6frFim/n5vwqgJN/3WH2f4Ner//9999LliyJKmGSMO9/w5LNZxr1nceMp1mw7lSz/v/dqwCuXr1arFgxoYnc3d2FnRo1apw8eZKV+Mdcu/nw+a8CuBOnY/Y/o379+kJ9sgEdYSX+GZPm7e3y+XJmPM3YX8N6frWKGf8Vly9nvv12puPrMYpMjYbtDBvGjv4DrBm2ej3n7DkRzWw5wS0S2bBhA1KYTp069e7d28vLCwsaJgw7Ji1ffvmlEIZgwb906dL58+exxh46dOjDDz/U6XSskOTcunVr+vTptWrVGjp06O3btz09PVUqFTvGj9jYWB8fn7lz5168eDEqKgrB0QcffIBt37597927xwpxIjExUavVrlixYtu2bZudbHISEhLCSvDi5k3Fe+8p9uxRDB2qOHVKce2aIipKsXatonlzViCPw0dEDAbDypUrfX19EQIEBga2a9fu/v376Ht2WFpq1669b98+SEnFihWxzFapUmXp0qXvvffeqVOntm7dygpJzqBBg1Cla9euYad69eoyOWeEmiDogK5VqlQJeSjMxYsXt23bFvVEG7JCPEhPT09NTS1cuDDyPtSng5OOTooU4f0+QaQwV68qpk1TzJ2reOstBeLK8uUdSU3HjqxAHoePiBw4cCAmJgadLXTwu+++iy1iEy6fTfz5558bN27MDCdKpRJjETvnzp0TPNKTP39+TACESPPnzy9QoACXlnmWgICAJxmfAOKjJk0cryNFYCJ4uJCcnGw2m1E92Z2hv3hRsX69omlTxRdfMI/LwUdE1qxZg23nzp0FE6OwRIkSYWFh169fFzxSAslge1lAfIRtWlqaYErPnDlzEIo3a+Z4XavM76PJyMjANigoSDC5gFwYwQhExMPDg7lkwrJlaCDFgAHMdEU4iMidO3eQuZQsWVKYIQCrLjIao9GIPFbwcOcm8liFomjRooIpPXzn5D8HKz96U61WC/EIL5DLmEwmhGxyOHP0/2ARwnqZL5+iXTvmcUU4iMjGjRvR5b169RJWe4GPPvoIAzE0NBTrCXNxZdWqVdg2d5VTX/8iSKyQOACEadeuXevfv//Ro0fHjx9frVo1VoIHKSkpqBjqM3XqVARx4eHh0dHR7BhH4uIU8fGKypUVvr6KnTuRtyvq1FG8/75i3jyFwcDK5H2kFhFE5kIuI9wngrkqcPr06eDg4MuXL+/du1coyZHJkyfv37+/S5cutWvXZi7iMRcuXHjnnXeaNm3auHFjCAdCNqwK33zzDd93CAv3qpw7d27UqFEff/wxalihQoUBAwbwPVOjiI3FiFcUK6b48ktFmzaKw4cdmrJ2reMyTdu2Ch7J+8tAahE5ceLE+fPnsfPTTz917969x2P69esXB9lWKDZt2uQsyAebzfbDDz+MHj26cuXKv/zyC4IjdoB4DJpIr9ffu3fv9u3bmZmZMTExJ0+exJYd5kTNmjWxJq1du/bYsWMYQhMmTChXrtzixYsxtB49esQKSc+DB47tiROK5csVv/6qiIxUnDnj2HbooDh0SPHpp4470PI+UosIVi1Ewl27dp0yZQoW/KxgNdNqtZs3b+Z1iyFmxfvvvz927Nh69eqtW7eO4wkROYPpevbsWcSMkZGRCBsRr6ErEZgglmQleFC8eHH0HSqDvuvYseO33357+PDhFi1aoKpIcFgh6RHu5b1xQ/Hbb4pPPnGEJMHBiqpVFUuWKCpWVOzereB6XfzfQlIRSUhIQC7j4+Mzffr0kSNHIvLMyvfff9+oUaPExMQtW7awfyAhBw4cwJjbsGHDoEGDtm/f/tprr7EDRE74+vpCZBs0aDB79myEbND9L7/8UrhMIxMKFy6MaFej0ezatcvA6wREQIBj++abik6dnPZj4Hfe1uC4AJz3kVRE0J3x8fFQiie3TmejVy/Htwulfx5v1apV7dq1Qz61aNGi+fPnZz3jS7yQgQMHQlDOnDnD5Qr9c0BOiopFRUVxe7qnUCHHtnhxxbMXnkuXdmzv33caeRvpRATLFOYqdnr27Cl4ngVRMfQlIiICaTZzvXzOnTuHaSAsWf3792de4h/j4eGBbAK6L6unFgGGHPD29uZ280jJkgovLwXSc5uNeZ5gdn7fL18+p5G3kU5EkJ1ilhYqVCjb7aFZKViwIBJaQW4yJfnEo8lkQhyO0b9ixYrcnuAink9KSsq1a9eCg4MrVKjAXPIAqxHyrP/85z9+fhw+pe4AEXfduorLlxXOiwlPERHh2L7+utPI20gnIsiiJ0yYsGDBAiSrzJUTw4YNmzJlSkhIiO1Z8X4JYPQfPHgQEdA777zDXEQuICkICwvLdhcvugndikNQ/2x3xEuG3W6PiYnJdocRktOvv/4ah3r06OGFcIALKpXjam5GhmLcuKduDAkPV4SGKipVUjRsyDx5GelE5PXXX//222/btm3L7FzAujFy5Mju3bs/edL8pSJcp7xx4wYSmT5Pg7Trk08+efjwISvKD8wEbKUJzZ6D2Wz+4IMPoO9Tp06F8p4+fXrp0qWtWrWaN29ekyZNfvjhB1ZOctzc3CBkqBhqcvTo0WPHjk2bNg3m8ePHu3XrNmTIEFaOC23aKFq2VOza5XjibuNGBfJ0NJTwwMfUqYoCBZyF8jaSnliVIcID7JCSP//8c9nTrFy5Ek7E6kJJjgj3cXH/IjwCjV69el25cmXUqFFQjdq1a/ft2xeTFqKPtkI6w8pJDlqmePHiSF6GDh0K7WjQoAGqhODoxx9//OOPPzg/TYMgaNEih4KEhTmuyCC7GTtWgWB8506FqwS/r7qIYKW67ORSTpw9e1Z4IRBfoGWoYZUqVZjNCSQFM2bMiIyM3Lx586xZs3755Zd9+/ZBU5B+FhIuQ/Bj3LhxZ86cCQ0NRUCEeOTIkSPnz59HOsPtbEhWihZVrFqlOHrUcb/ZL7847ls9ccJlXiYCXnURyZcvH/Is8EZOvPbaa3K4aRVChhpyS+yfpmLFih06dPj000+HDx/etGnTUqVKsQNc0Wq1NWrU6NGjx5gxYwYPHoxgJLfbCPigUinq13fcbzZ8uCIkRJE/P/O7BK+6iBAEIRISEYIgREEiQhCEKEhECIIQBYkIQRCiIBEhCEIUJCIEQYiCRIQgCFGQiBAEIQoSEYIgROGaIsL7UbUc4FUl7o/t5cYL60UtlhW5dqMDFxQRNLfjfzzAn87tgX0Pdz4fVXJXuT3nHQIcR6ba4wWvenhhgZeEMvdOhJ/XZFYplbLVkeeNsLzIyh2Rs9ZcKhLAp7PvJtraNygxbgj7sp9AfKK+1UehQX4eft4cnkmP15lVCtvhZUOZnYUFG04v2HK9WCCfAWAyZzzS21f/3KlciezvEPgrKm7AxPD8fpkaDw7Ke++RqVQh7doZjtf9ZmP8b7t3nbpfPJhDrez2zNgU5U/D6jarXY65ZIOricjVmw8Pnb2bqufzdm8fH59qr+WrW+WptwcYTZYV2yP1RovNxuGj3Gq1R8Eg7+6tqzI7C5irx87H6jm9CR0Lq7eXR4821QJ8Ncz1mEe6tPW7LxlM6Zl2DoNTo9GULuzbrkkOLy48du7v89EJnL7QnOnr69OmQbkShZ1vkJcTriYiBEFIDF2dIQhCFCQiBEGIgkSEIAhRkIgQBCEKEhGCIERBIkIQhChIRAiCEAWJCEEQoiARIQhCFCQiBEGIgkSEIAhRkIgQBCEKEhGCIERBIkIQhChIRAiCEAWJCEEQoiARIQhCFCQiBEGIgkSEIAhRkIgQBCEKEhGCIERBIkIQhChIRAiCEAWJCEEQoiARIQhCFCQiBEGIgkSEIAhRkIgQBCEKEhGCIERBIkIQhChIRAiCEAWJCEEQIlAo/g9wKzyFN4g5hAAAAABJRU5ErkJggg=="
    },
    "ch03_fig.4_bubbleSort.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "배열 $A[0, ... , n-1]$의 값을 정렬하기 위하여 버블정렬은 다음과 같은 정렬 원리를 사용한다.\n",
    "\n",
    " $$\\text{ $A[i]$와 $A[i+1]$의 값을 비교하여 더 큰 값이 $A[i+1]$에 위치하게 적절히 조정한다.}$$\n",
    " \n",
    "이를 위하여 버블정렬은 \n",
    "\n",
    "(1) $A[0]$의 값과 $A[1]$의 값을 비교하여, $A[1]$의 값이 더 작으면 두 값을 교환한다.\n",
    "\n",
    "(2) $A[1]$의 값과 $A[2]$의 값을 비교하여, $A[2]$의 값이 더 작으면 두 값을 교환한다.\n",
    "\n",
    "(3) $A[2]$의 값과 $A[3]$의 값을 비교하여, $A[3]$의 값이 더 작으면 두 값을 교환한다.\n",
    "\n",
    "...\n",
    "\n",
    "이와 같은 작은을 계속 반복하여 마지막으로\n",
    "\n",
    "$A[n-2]$의 값과 $A[n-1]$의 값을 비교하여, $A[n-1]$의 값이 더 작으면 두 값을 교환한다.\n",
    "\n",
    "그림 3은 크기 $5$인 배열 $A=[3, 2, 1, 5, 6]$에 대하여 이와 같은 작업을 수행하는 절차를 나타낸다.\n",
    "\n",
    "![ch03_fig.3_bubble.png](attachment:ch03_fig.3_bubble.png)\n",
    "[그림 3] 버블 동작의 예\n",
    "\n",
    "그림 3에서와 같이 배열 $A=[3, 2, 1, 5, 6]$에서 가장 큰 값 $6$은 배열 A의 마지막에 위치하게 된다. 즉, $6$은 적절한 배열 위치를 지정 받은 것이다. 그러므로 배열 A의 나머지 4개의 요소 값들의 정렬만 고려하면 된다.\n",
    "\n",
    "즉, 크기 $n$인 배열 A에 대하여 정렬을 수행할 때, 이와 같은 동작절차를 수행하면, 크기 $n-1$인 배열의 정렬 문제로 축소가 가능하다.\n",
    "\n",
    "그림 4은 이와 같은 문제의 크기 축소를 통한 정렬 과정을 예를 들어 설명한 것이다. 각 라운드가 진행됨에 따라 정렬 대상의 크기는 1씩 감소하게 되며, 정렬 대상의 크기가 1이 되면 정렬이 완료된 것으로 간주한다.\n",
    "\n",
    "![ch03_fig.4_bubbleSort.png](attachment:ch03_fig.4_bubbleSort.png)\n",
    "[그림 4] 버블 정렬의 예"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[3, 2, 4, 9, 2, 7, 4, 4, 8]\n",
      "[2, 2, 3, 4, 4, 4, 7, 9, 8]\n"
     ]
    }
   ],
   "source": [
    "# -*- coding: utf-8 -*-\n",
    "#버블정렬\n",
    "def bubbleSort(A, n):\n",
    "    for last in range(n-1, 0,-1): # 1<= last <= n-1\n",
    "        for i in range(0, last):  # 0 <= i <= last-1\n",
    "            if A[i] > A[i+1]: \n",
    "                A[i], A[i+1]=A[i+1], A[i] \n",
    "        \n",
    "A=[3,2,4,9,2,7,4,4,8]\n",
    "#A=[0x123,0x2154,0x222,0x4,0x283,0x1560,0x1061,0x2150,0x37]\n",
    "#A=[3,4,2,39,29,33,31, 22, 11, 16]\n",
    "#B=[]\n",
    "n=A.__len__()    \n",
    "firstIndex=0\n",
    "lastIndex=n-1\n",
    "print(A)\n",
    "bubbleSort(A, lastIndex)\n",
    "print(A)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3. insertionSort (삽입정렬)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[3, 2, 4, 9, 2, 7, 4, 4, 8]\n",
      "[2, 2, 3, 4, 4, 4, 7, 9, 8]\n"
     ]
    }
   ],
   "source": [
    "# -*- coding: utf-8 -*-\n",
    "#삽입정렬\n",
    "def insertionSort(A,n):\n",
    "    for i in range(1, n):\n",
    "        loc     = i-1\n",
    "        newItem = A[i]\n",
    "        while loc >= 0 and newItem < A[loc]:\n",
    "            A[loc+1]=A[loc]\n",
    "            loc-=1\n",
    "        A[loc+1]=newItem\n",
    "        \n",
    "A=[3,2,4,9,2,7,4,4,8]\n",
    "#A=[0x123,0x2154,0x222,0x4,0x283,0x1560,0x1061,0x2150,0x37]\n",
    "#A=[3,4,2,39,29,33,31, 22, 11, 16]\n",
    "#B=[]\n",
    "n=A.__len__()    \n",
    "firstIndex=0\n",
    "lastIndex=n-1\n",
    "print(A)\n",
    "insertionSort(A, lastIndex)\n",
    "print(A)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 고급정렬알고리즘\n",
    "* mergeSort    (병합정렬)\n",
    "* quickSort     (퀵정렬)\n",
    "* heapSort       (힙정렬)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 4. mergeSort    (병합정렬)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[3, 2, 4, 9, 2, 7, 4, 4, 8]\n",
      "[2, 2, 3, 4, 4, 4, 7, 9, 8]\n"
     ]
    }
   ],
   "source": [
    "# -*- coding: utf-8 -*-\n",
    "#병합정렬\n",
    "def merge(A,p,q,r):\n",
    "    i, j, t = p, q+1, 1\n",
    "    temp=[]\n",
    "    while i <= q and j <= r:\n",
    "        if A[i] <= A[j] :\n",
    "            temp.append(A[i])\n",
    "            i+=1\n",
    "        else:\n",
    "            temp.append(A[j])\n",
    "            j+=1\n",
    "    while i <= q:\n",
    "        temp.append(A[i])\n",
    "        i+=1\n",
    "    while j <= r:\n",
    "        temp.append(A[j])\n",
    "        j+=1\n",
    "    i=p \n",
    "    t=0\n",
    "    while i <= r:\n",
    "        A[i]=temp[t] \n",
    "        i+=1\n",
    "        t+=1\n",
    "\n",
    "def mergeSort(A, p, r):\n",
    "    if p < r :        \n",
    "        q = int((p+r)/2)\n",
    "        mergeSort(A, p, q)\n",
    "        mergeSort(A, q+1,r)\n",
    "        merge(A,p,q,r)\n",
    "        \n",
    "A=[3,2,4,9,2,7,4,4,8]\n",
    "#A=[0x123,0x2154,0x222,0x4,0x283,0x1560,0x1061,0x2150,0x37]\n",
    "#A=[3,4,2,39,29,33,31, 22, 11, 16]\n",
    "#B=[]\n",
    "n=A.__len__()    \n",
    "firstIndex=0\n",
    "lastIndex=n-1\n",
    "print(A)\n",
    "insertionSort(A, lastIndex)\n",
    "print(A)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 5. quickSort     (퀵정렬)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[3, 2, 4, 9, 2, 7, 4, 4, 8]\n",
      "[2, 2, 3, 4, 4, 4, 7, 9, 8]\n"
     ]
    }
   ],
   "source": [
    "# -*- coding: utf-8 -*-\n",
    "#퀵정렬\n",
    "def partition(A,p,r):\n",
    "    x = A[r]\n",
    "    i = p-1\n",
    "    for j in range(p, r):  # p <= j <= r-1\n",
    "        print(j, r)\n",
    "        if A[j] <= x: \n",
    "            i+=1\n",
    "            A[i], A[j] = A[j], A[i] \n",
    "    i+=1\n",
    "    A[i], A[r] = A[r], A[i] \n",
    "    return i\n",
    "def quickSort(A,p,r):\n",
    "    if p < r:\n",
    "        q = partition(A, p, r)\n",
    "        #print(\"q is %d\"%q, A)\n",
    "        quickSort(A, p, q-1)\n",
    "        quickSort(A, q+1, r)\n",
    "        \n",
    "A=[3,2,4,9,2,7,4,4,8]\n",
    "#A=[0x123,0x2154,0x222,0x4,0x283,0x1560,0x1061,0x2150,0x37]\n",
    "#A=[3,4,2,39,29,33,31, 22, 11, 16]\n",
    "#B=[]\n",
    "n=A.__len__()    \n",
    "firstIndex=0\n",
    "lastIndex=n-1\n",
    "print(A)\n",
    "insertionSort(A, lastIndex)\n",
    "print(A)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 6. heapSort       (힙정렬)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[3, 2, 4, 9, 2, 7, 4, 4, 8]\n",
      "[2, 2, 3, 4, 4, 4, 7, 9, 8]\n"
     ]
    }
   ],
   "source": [
    "# -*- coding: utf-8 -*-\n",
    "#힙정렬\n",
    "def heapify(A, k, n): #To make a heap for a subtree which its subroot is A[k]\n",
    "    leftChild   = 2*k \n",
    "    rightChild  = 2*k+1\n",
    "    if rightChild <= n:\n",
    "        if A[leftChild] < A[rightChild]:\n",
    "            smaller = leftChild \n",
    "        else:\n",
    "            smaller = rightChild \n",
    "    elif leftChild <= n:\n",
    "        smaller = leftChild \n",
    "    else:\n",
    "        return\n",
    "    if A[smaller] < A[k]:\n",
    "        A[k], A[smaller] = A[smaller], A[k]\n",
    "        heapify(A, smaller, n)\n",
    "\n",
    "def buildHeap(A, n):\n",
    "    last = int(n/2)\n",
    "    for i in range(last, -1, -1):  # n/2 >= i > 0\n",
    "        heapify(A, i, n)\n",
    "#        print(\"i is %d\"%i, A)\n",
    "        \n",
    "def heapSort(A, n):\n",
    "    buildHeap(A, n)\n",
    "    for i in range(n, 0, -1):\n",
    "        A[0], A[i] = A[i], A[0]\n",
    "        heapify(A, 0, i-1)        \n",
    "#        print(A)\n",
    "\n",
    "A=[3,2,4,9,2,7,4,4,8]\n",
    "#A=[0x123,0x2154,0x222,0x4,0x283,0x1560,0x1061,0x2150,0x37]\n",
    "#A=[3,4,2,39,29,33,31, 22, 11, 16]\n",
    "#B=[]\n",
    "n=A.__len__()    \n",
    "firstIndex=0\n",
    "lastIndex=n-1\n",
    "print(A)\n",
    "insertionSort(A, lastIndex)\n",
    "print(A)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 특수정렬\n",
    "* radixSort (기수정렬)\n",
    "* countingSort (계수정렬)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 7. radixSort (기수정렬)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[291, 8532, 546, 4, 643, 5472, 4193, 8528, 55]\n",
      "[4, 55, 291, 546, 643, 4193, 5472, 8528, 8532]\n"
     ]
    }
   ],
   "source": [
    "# -*- coding: utf-8 -*-\n",
    "#기수정렬\n",
    "#16진수를 base로 하는 기수정렬\n",
    "\n",
    "from math import log\n",
    "def radixSort_base16(A,n):\n",
    "    base=16 #16진수 기준    \n",
    "    \n",
    "    digit = int(log(max(A), base) + 1)\n",
    "    #print(digit)\n",
    "    mask=0xF\n",
    "    rightSift=0;    \n",
    "       \n",
    "    for x in range(0,digit):\n",
    "        list = []\n",
    "        for y in range(0, base-1):\n",
    "            list.append([])        \n",
    "        #for y in range(0, base-1):\n",
    "        #    print(list[y])\n",
    "        for i in range(0, n+1):\n",
    "            y = A[i] & mask\n",
    "        #    print(\"%d digit,i is %d\"%(x,i), hex(A[i]),A[i], \"is appended in list[%d]\"%y)            \n",
    "            y = y >> rightSift\n",
    "            list[y].append(A[i])\n",
    "        #   for y in range(0, base-1):\n",
    "        #        print(y, list[y])        \n",
    "        i=0\n",
    "        for y in range(0, base-1):\n",
    "            for k in range(0, list[y].__len__() ):                \n",
    "                A[i]=list[y][k]\n",
    "                i+=1\n",
    "        rightSift +=4\n",
    "        mask = mask << 4 \n",
    "\n",
    "A=[3,2,4,9,2,7,4,4,8]\n",
    "A=[0x123,0x2154,0x222,0x4,0x283,0x1560,0x1061,0x2150,0x37]\n",
    "#A=[3,4,2,39,29,33,31, 22, 11, 16]\n",
    "#B=[]\n",
    "n=A.__len__()    \n",
    "firstIndex=0\n",
    "lastIndex=n-1\n",
    "print(A)\n",
    "radixSort_base16(A, lastIndex)\n",
    "print(A)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 8. countingSort (계수정렬)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[3, 4, 2, 39, 29, 33, 31, 22, 11, 16]\n",
      "[2, 3, 4, 11, 16, 22, 29, 31, 33, 39]\n"
     ]
    }
   ],
   "source": [
    "# -*- coding: utf-8 -*-\n",
    "#계수 정렬\n",
    "#16진수를 base로 하는 기수정렬\n",
    "\n",
    "def countSort(A, B, n):    \n",
    "    \n",
    "    for i in range(0, A.__len__()):\n",
    "        B.append(0)\n",
    "    \n",
    "    k=max(A)\n",
    "    C=[]\n",
    "    for i in range(0, k+1):\n",
    "        C.append(0)    \n",
    "    \n",
    "    for i in range(0, n+1):\n",
    "        C[ A[i] ] +=1\n",
    "        \n",
    "    for i in range(1, k+1):\n",
    "        C[i] += C[i-1]\n",
    "            \n",
    "    for i in range(0, n+1):        \n",
    "        B[ C[ A[i]]-1 ] =A[i]  # C[ A[i]]-1  : index가 0부터 시작하므로\n",
    "        C[ A[i]] -=1\n",
    "        \n",
    "#A=[3,2,4,9,2,7,4,4,8]\n",
    "#A=[0x123,0x2154,0x222,0x4,0x283,0x1560,0x1061,0x2150,0x37]\n",
    "A=[3,4,2,39,29,33,31, 22, 11, 16]\n",
    "B=[]\n",
    "n=A.__len__()    \n",
    "firstIndex=0\n",
    "lastIndex=n-1\n",
    "print(A)\n",
    "countSort(A, B, lastIndex)\n",
    "print(B)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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