字符串字节处理.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "3600\n"
     ]
    }
   ],
   "source": [
    "seconds =1\n",
    "minutes =60 * seconds\n",
    "hours = 60 * minutes\n",
    "print (hours)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "seconds_per_hour = hours\n",
    "seconds_per_hour == second\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "86400\n"
     ]
    }
   ],
   "source": [
    "one_day = 24*hours\n",
    "print (one_day)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "one_hours = 60 * 60"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "3600\n"
     ]
    }
   ],
   "source": [
    "seconds_per_hour = one_hours\n",
    "print (seconds_per_hour)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "86400"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "seconds_per_hour * 24"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "seconds_per_day = seconds_per_hour * 24"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "24"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "seconds_per_day // seconds_per_hour"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "a = 0.8\n",
    "b = 0.8\n",
    "c = 0.8"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "False"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "id(a) == id(b) == id(c)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.0\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "a = float(False)\n",
    "print ('%s'%(a))\n",
    "#a.astype(np.float32)#AttributeError: 'float' object has no attribute 'astype'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "991\n"
     ]
    }
   ],
   "source": [
    "#print( '99'+1)#TypeError: cannot concatenate 'str' and 'int' objects\n",
    "print( '99'+'1')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "x = [('a', 'b'), ('c', 'd'), (1, 2), (5, 6),]\n",
    "dict_ = dict(x)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'a': 'b', 'c': 'd', 5: 6, 1: 2}\n"
     ]
    }
   ],
   "source": [
    "print(dict_)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "del x"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "x = {'a', 'c'}, {'d', 'k'}, {1, 2}, [5, 6],['v','x'],['t','h']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "new = dict(x)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('(', '(', \"'\", 'a', \"'\", ',', ' ', \"'\", 'b', \"'\", ')', ',', ' ', '(', \"'\", 'c', \"'\", ',', ' ', \"'\", 'd', \"'\", ')', ',', ' ', '(', '1', ',', ' ', '2', ')', ',', ' ', '(', '5', ',', ' ', '6', ')', ')')\n"
     ]
    }
   ],
   "source": [
    "print (tuple(xx))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "\"'DSA,SAY\""
      ]
     },
     "execution_count": 87,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\"'DSA,SAY\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'\"M\",SA'"
      ]
     },
     "execution_count": 88,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "'\"M\",SA'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'hh'"
      ]
     },
     "execution_count": 89,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "'''hh'''"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "string = 'eoeqwnnje'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "9"
      ]
     },
     "execution_count": 91,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(string)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'nnw'"
      ]
     },
     "execution_count": 94,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "string[-3 :-6:   ]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'qwn'"
      ]
     },
     "execution_count": 106,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "string[-6:-3]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'eoe'"
      ]
     },
     "execution_count": 113,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "string[0:3]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'n'"
      ]
     },
     "execution_count": 110,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "string[-3]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dict_items"
      ]
     },
     "execution_count": 122,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "d = new.items()\n",
    "type (d)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[(1, 2), (5, 6), ('t', 'h'), ('a', 'c'), ('k', 'd'), ('v', 'x')]"
      ]
     },
     "execution_count": 123,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "list(d)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 124,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dict_items([(1, 2), (5, 6), ('t', 'h'), ('a', 'c'), ('k', 'd'), ('v', 'x')])"
      ]
     },
     "execution_count": 124,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "d"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{1: 2, 5: 6, 'a': 'c', 'k': 'd', 't': 'h', 'v': 'x'}"
      ]
     },
     "execution_count": 125,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "new"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3.3000000000000003"
      ]
     },
     "execution_count": 131,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "1.1+2.2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 147,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "a = 0.1+0.1+0.1-0.3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 148,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "5.551115123125783e-17\n"
     ]
    }
   ],
   "source": [
    "print(a)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 153,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "b = np.array(a, dtype=np.float16)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 154,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.0\n"
     ]
    }
   ],
   "source": [
    "print(b)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 155,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2.5"
      ]
     },
     "execution_count": 155,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "1.20+1.30"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 157,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'b1'"
      ]
     },
     "execution_count": 157,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "a = ['1', 'g', 'i']\n",
    "'b'+ a[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 158,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "379"
      ]
     },
     "execution_count": 158,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "int('0ij', 20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 160,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "379"
      ]
     },
     "execution_count": 160,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "0 * pow(20, 2) + 18 * pow(20, 1) + 19\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 163,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1"
      ]
     },
     "execution_count": 163,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "int( 0x01)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 305,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Char            a            Hex      61       Decimal      97       \n",
      "Char            b            Hex      62       Decimal      98       \n",
      "Char            c            Hex      63       Decimal      99       \n",
      "Char            d            Hex      64       Decimal      100      \n",
      "Char            e            Hex      65       Decimal      101      \n",
      "Char            f            Hex      66       Decimal      102      \n",
      "Char            g            Hex      67       Decimal      103      \n",
      "Char            h            Hex      68       Decimal      104      \n",
      "Char            i            Hex      69       Decimal      105      \n",
      "Char            j            Hex      6a       Decimal      106      \n",
      "Char            k            Hex      6b       Decimal      107      \n",
      "Char            l            Hex      6c       Decimal      108      \n",
      "Char            m            Hex      6d       Decimal      109      \n",
      "Char            n            Hex      6e       Decimal      110      \n",
      "Char            o            Hex      6f       Decimal      111      \n",
      "Char            p            Hex      70       Decimal      112      \n",
      "Char            q            Hex      71       Decimal      113      \n",
      "Char            r            Hex      72       Decimal      114      \n",
      "Char            s            Hex      73       Decimal      115      \n",
      "Char            t            Hex      74       Decimal      116      \n",
      "Char            u            Hex      75       Decimal      117      \n",
      "Char            v            Hex      76       Decimal      118      \n",
      "Char            w            Hex      77       Decimal      119      \n",
      "Char            x            Hex      78       Decimal      120      \n",
      "Char            y            Hex      79       Decimal      121      \n",
      "Char            z            Hex      7a       Decimal      122      \n"
     ]
    }
   ],
   "source": [
    "import binascii\n",
    "import string as st\n",
    "for i in st.ascii_lowercase:\n",
    "    print('Char{:^25}Hex{:^15}Decimal{:^15}'.format(\n",
    "        i, hex(ord(i))[2:], int(hex(ord(i)), 16)), sep='---')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 180,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "255"
      ]
     },
     "execution_count": 180,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "int(0xFF)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 181,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "12528"
      ]
     },
     "execution_count": 181,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "33*16**2+15*16**2+15*16"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 191,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "64"
      ]
     },
     "execution_count": 191,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "int(0x40)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 208,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "b'05'\n",
      "b'06'\n",
      "b'40'\n",
      "b'c3bd'\n",
      "b'05'\n"
     ]
    }
   ],
   "source": [
    "import binascii\n",
    "data = [\"\\x05\", \"\\x06\", \"\\x40\", \"\\xFD\", \"\\x05\"]\n",
    "for d in data:\n",
    "    print(binascii.hexlify(bytes(d, encoding = \"utf8\"),))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 209,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'0xff'"
      ]
     },
     "execution_count": 209,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hex(255)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 212,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "15"
      ]
     },
     "execution_count": 212,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    " int('0xf', 16)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 365,
   "metadata": {},
   "outputs": [
    {
     "ename": "TypeError",
     "evalue": "ord() expected a character, but string of length 3 found",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-365-595c89546763>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mx\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mord\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'256'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m      2\u001b[0m \u001b[0mint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mhex\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mx\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;36m16\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mTypeError\u001b[0m: ord() expected a character, but string of length 3 found"
     ]
    }
   ],
   "source": [
    "x = ord('a')\n",
    "int(hex(x), 16)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 249,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "97"
      ]
     },
     "execution_count": 249,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "int('97')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "57"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#ord('256')#ord() expected a character, but string of length 3 found or 2found\n",
    "ord('9')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 370,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'\\U0010ffff'"
      ]
     },
     "execution_count": 370,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "chr(1114111)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 367,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Ċ\n"
     ]
    }
   ],
   "source": [
    "print(chr(266))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 369,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1114112"
      ]
     },
     "execution_count": 369,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "int(0x110000)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'binascii' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-14-e60db173a96c>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m()\u001b[0m\n\u001b[0;32m      2\u001b[0m \u001b[0mb\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mhex\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0ma\u001b[0m\u001b[1;33m)\u001b[0m  \u001b[1;31m#转换成相同的字符串即'0x665554'\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      3\u001b[0m \u001b[0mb\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mb\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;36m2\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m]\u001b[0m   \u001b[1;31m#截取掉'0x'\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 4\u001b[1;33m \u001b[0mc\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mbinascii\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0ma2b_hex\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mb\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;31m#转换成ASCii编码的字符串\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m      5\u001b[0m \u001b[0mc\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mbinascii\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mhexlify\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mbytes\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mc\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mencoding\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;34m\"utf8\"\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      6\u001b[0m \u001b[1;32mprint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\"a:%x, b:%s,c:%s\"\u001b[0m \u001b[1;33m%\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0ma\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0mb\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0mc\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mNameError\u001b[0m: name 'binascii' is not defined"
     ]
    }
   ],
   "source": [
    "a = 0x665554\n",
    "b = hex(a)  #转换成相同的字符串即'0x665554'\n",
    "b = b[2:]   #截取掉'0x'\n",
    "c = binascii.a2b_hex(b) #转换成ASCii编码的字符串\n",
    "c = binascii.hexlify(bytes(c, encoding = \"utf8\"))\n",
    "print(\"a:%x, b:%s,c:%s\" %(a,b,c))\n",
    "print(type(c))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 411,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "b'41'"
      ]
     },
     "execution_count": 411,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "binascii.b2a_hex( bytes('A', encoding = \"utf-8\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 405,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "b'3431'"
      ]
     },
     "execution_count": 405,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "binascii.b2a_hex( '41'. encode(\"utf-8\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 385,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "b = b'41'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 386,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "bytes"
      ]
     },
     "execution_count": 386,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(b)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 387,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'41'"
      ]
     },
     "execution_count": 387,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "c = str(b, encoding = \"utf-8\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 396,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "bytes"
      ]
     },
     "execution_count": 396,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(c)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 398,
   "metadata": {},
   "outputs": [
    {
     "ename": "LookupError",
     "evalue": "'base64' is not a text encoding; use codecs.encode() to handle arbitrary codecs",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mLookupError\u001b[0m                               Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-398-92c956336ecb>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m()\u001b[0m\n\u001b[0;32m      1\u001b[0m \u001b[0mx\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;34m'cdadad'\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 2\u001b[1;33m \u001b[0mx\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mencode\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'base64'\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;34m'strict'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;31mLookupError\u001b[0m: 'base64' is not a text encoding; use codecs.encode() to handle arbitrary codecs"
     ]
    }
   ],
   "source": [
    "x = 'cdadad'\n",
    "x.encode('base64','strict')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 400,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'41'"
      ]
     },
     "execution_count": 400,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "str(b, encoding='utf8')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 413,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "b'3431'"
      ]
     },
     "execution_count": 413,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "binascii.b2a_hex('41'.encode('utf8'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 431,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'s'"
      ]
     },
     "execution_count": 431,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import base64\n",
    "s = b's'\n",
    "a = s.decode('utf8')\n",
    "a"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 442,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'utf-8'"
      ]
     },
     "execution_count": 442,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import sys\n",
    "sys.getdefaultencoding()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 477,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "b'\\xe4\\xb8\\xad\\xe5\\x9b\\xbd'"
      ]
     },
     "execution_count": 477,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "s = u'中国'.encode('utf8')\n",
    "#str(s, encoding='utf8')\n",
    "s"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 455,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'a'"
      ]
     },
     "execution_count": 455,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bytes.decode(b'a')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 471,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "6"
      ]
     },
     "execution_count": 471,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(s)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 487,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'中国'"
      ]
     },
     "execution_count": 487,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import base64\n",
    "a = base64.b64encode(s).decode('utf8')\n",
    "base64.b64decode(a).decode('utf8')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 484,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "a = base64.b64encode(s)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 485,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "b'5Lit5Zu9'"
      ]
     },
     "execution_count": 485,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "a"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 502,
   "metadata": {},
   "outputs": [
    {
     "ename": "AttributeError",
     "evalue": "'str' object has no attribute 'decode'",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-502-e5cc50f41bac>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m()\u001b[0m\n\u001b[0;32m      7\u001b[0m     \u001b[0mstr_\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;34m'%x'\u001b[0m\u001b[1;33m%\u001b[0m\u001b[0mval\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      8\u001b[0m     \u001b[1;32mreturn\u001b[0m \u001b[0mstr_\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mdecode\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'hex'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mdecode\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'gb2312'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 9\u001b[1;33m \u001b[0ma\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mrandomGB2312\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;32m<ipython-input-502-e5cc50f41bac>\u001b[0m in \u001b[0;36mrandomGB2312\u001b[1;34m()\u001b[0m\n\u001b[0;32m      6\u001b[0m     \u001b[0mval\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;33m(\u001b[0m\u001b[0mhead\u001b[0m \u001b[1;33m<<\u001b[0m \u001b[1;36m0x8\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;33m|\u001b[0m \u001b[1;33m(\u001b[0m\u001b[0mbody\u001b[0m\u001b[1;33m<<\u001b[0m\u001b[1;36m0x4\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;33m|\u001b[0m \u001b[0mtail\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      7\u001b[0m     \u001b[0mstr_\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;34m'%x'\u001b[0m\u001b[1;33m%\u001b[0m\u001b[0mval\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 8\u001b[1;33m     \u001b[1;32mreturn\u001b[0m \u001b[0mstr_\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mdecode\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'hex'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mdecode\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'gb2312'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m      9\u001b[0m \u001b[0ma\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mrandomGB2312\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mAttributeError\u001b[0m: 'str' object has no attribute 'decode'"
     ]
    }
   ],
   "source": [
    "import random\n",
    "def randomGB2312():\n",
    "    head = random.randint(0xB0, 0xDF)\n",
    "    body = random.randint(0xA, 0xF)\n",
    "    tail = random.randint(0, 0xF)\n",
    "    val = (head << 0x8) | (body<<0x4) | tail\n",
    "    str = '%x'%val\n",
    "    return str.decode('hex').decode('gb2312')\n",
    "a = randomGB2312()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 498,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'°'"
      ]
     },
     "execution_count": 498,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "chr(int(0xB0))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 495,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "a 97\n",
      "b 98\n",
      "c 99\n",
      "d 100\n",
      "e 101\n",
      "f 102\n",
      "g 103\n",
      "h 104\n",
      "i 105\n",
      "j 106\n",
      "k 107\n",
      "l 108\n",
      "m 109\n",
      "n 110\n",
      "o 111\n",
      "p 112\n",
      "q 113\n",
      "r 114\n",
      "s 115\n",
      "t 116\n",
      "u 117\n",
      "v 118\n",
      "w 119\n",
      "x 120\n",
      "y 121\n",
      "z 122\n"
     ]
    }
   ],
   "source": [
    "import string\n",
    "for i in string.ascii_lowercase:\n",
    "    print(i,ord(i))\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 503,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "113"
      ]
     },
     "execution_count": 503,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ord('q')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 504,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import pylab as pl\n",
    "import numpy as np\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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J0XBHfSSkJnbzWDE6EQMIyFh1Eq6XLyrG1jqKWY08Z5c7pRc7Lbf9a3VmsRxB\neZ7AOa3TyRLa2rN+Wt79+WbxdgL+9V5qh1ZcafLURlznltqlCU9/jquwYlTzzmQIruiHlXbYuNKp\nGAaF2IUQDoB/D+BLAB4F8CkhxMNly82CTeP1vor91EILWybrwd/bpxpoOV5XT97seJGIjyC/inbH\nnlrwVcXmiTo2T9Sx0HIiIY9t14Mtb3alfpWtAkiPXSvvzGIbM+M1zIzXIzegsm/UeUoZ1S0jmJBV\nceyKrJdafj0ukrnqFfl13Kitk4ZgwZPbrdjPyGvlemFCsX6wTQOGTCrWdryAVObl5iiuyD4RC8QV\ne0js55bbcNx8ETYKrlR2qrylVtnJU4E5rW4LGdZY9CtPVWep5ZSK7/YEIvdq+dS4CNZrLHfc0oS1\nXGWnI8KFQAvN8pvxrHSqrdv5QCUeuxDiNiHEZUKIS4QQ/62KMrNg03g9IJ00nF5sBRE0gL9iFQBO\nxNR2q+MGE6dAuAJV99nVOVsmGpgZk3H02vfrit2SCbV6eexnFls+sY/VcG65HSiydqDYw6gYIt9+\ncuXkqSJipTBVKKHKVa92l3I8D7ZhJC4s0sk+zBYpZN3a2Co7RPVwdNzsHntYPxHZ6UqRnVsiKmZ2\nJbzms8sduCKfraPgegLLbTfobBdbTqnJUzem2OdL7vDlChGQ8VLLLU3GKxp56kRaBDqRr7Td0t7x\ncqWdjoC6s5dKthOIdYgVTIifDwzsylMgmxVzerGFzRqxb5SE3KXYHTeiIOux5fwAcFIq9i2TdczI\nMvUFUm1tAY8tE2r5ESyaPaMRx5mlNjaN1zEzVoMnQrtCKVBLs2KCKBjNt9eJeDEg9hEAoS+o4tgN\nncTla53sVZy9sieWWg42jfvpkSNknJFATfLLczVPvGEbhYk9UOxuVBUvtZzcZSm4noj4p4uaYu83\nwkmC44lIrH4Vil2RyqJsZxkstcP6LLbKdTqeEEGHuNwu3+k0NQLW61m0bkpZL5csC4h2iP3SZPfD\nwFgxa4lN43Ustd2uFaAKnidwerGNTRO14FhAyEtxxR4mywJCK0afQD0ZKPa6tvI17o2HtouyTcJj\n0QVKpxdamBmrY6Osk+psHC+MZFF1CIjX9YfnptxoQz1cSzFinwusmOhErKobgAgZmhTNFbPcdjFa\nMzHRsDXF7mW2YtRKVscNFfuuDaNBB5TXY6/Ja+h6AgstJzh3uePKa1zsVtaVq0+e/uui1k5TG+GV\nVuyeQNMcrzBXAAAgAElEQVQJf9/SdkcrbGsVnY5aOLfcLj6BHdRN/x0qqFs7uG7lFbtuxazk3Ac5\njvOVRGygiX1jgh2iY3bFn3DSFXtgoSx2K/YosXcrdjU5OV63sGnML/OUrthluCPgWxtt1wsSdgHd\nceyzKx1Mj9qYaPhJNlXem7bjE5Xy2FuOGywgUh2Ner9bscetGCEzN4Y/taqjTqw6EQM+YY7WLEw0\nrIjKzuqLmwbBlPMMaji8baoRKM8yUTHNjht0rMstx5/IK0jsusJebDpBFE8ha8cVkQd/oaQqdtyQ\noBarIPZ2dcTuCRHciyvt8qMJ/bottqob6SyVLAuIEXtpC6tsbbJhoIldkfTZlJlvFc2xaSIk9qkR\nG6ZBXYq92fESPXZdgc2tdDA1YoOIsGHM9o9ptoBSxwBgy4iVjhYVU7NCj135uxMNC5OS2JUy9hc1\nhWTc7HiBnaJUUpACwIsqkx1TI0FdAWXFGNB5Sg/JVAg8dhUp0nIwWjMxXveJXcidm/J57H556mHY\nLH+HxQL2iR4Vs9J2g059ue3KeuW7lZUiV9dtw6gdsTsK5bHRPHEAmF8pRyo6Ebc6XnkfO2LFlKtb\n2xGRqKKynU6VxN5yvIBAq/bYy9pEVeSuyYLBJna1+nQp2WdXkR26YjcMwobRWpfH3nLcCGkFeVqc\nbmIHgLGaBYOiMa6tmGJXG23o9kwnprDH6xYmGn6ZSkU5Mh4+yWNX9fF3PNKjYvxzt09FPfZOrJMA\nQltDJ1aDKBI+udx2MVIzpWIPQ+2ykrElJ09dNyQ79Tsstx24otgCJcfzVfGMXlYBK0aVp67b9GgN\nLccNyKroZGzT8cIRWEkrRieRluOWznqodxRlledKx9Fel5881evTzLnBTa+yqvbYSyt2tmL6Y0ba\nIXkUOwBsGq91rVhNU+y6FaMTu2EQJhp25OHtuFpUjGmg4wl0PBGQqu6xK2KfbIRWjCJ2tVVdaMV4\nXZOb8aRdQXkjFhq2EUQqCIHAxlGoaRO8CpamsAH/YQ09dic4njlXjFZfpcaUyl5pu3Bz5J0BEISR\nurK8yYYFyyDf3/UEbCufJ67KU+Q5NWKj2fFKTZ4qC0DdI8sl/VhdubYcr3QMtU5yZb3iyGhCU8hF\nodcnbc4sK5a1TqdqK6asZ8+TpxmwUU1g9lPsMWLfONat2Jud7gVKQLpiB3wy0EP5dI+9pqJiZNpc\nIBrHriaIxhu6Ylf2icrr3u2xKyjiV9vVqRt4rG5hrGZhqe0EnYhl+ml7g3MTrBg/DbDmsbcdjNYs\njNZMrHRcjdizWTGqfq7nBSSwQRG7XC2aRxXXNcXebLsYsU2M1syA2PNaJ8Hkq6zb9Kjtr2KVP7eV\nc/LUNimYUJwe9X9Ppe4K9BF+3WLEXjoqplWd8ozaRBVMUOqquGR5VSpsINrRlJ48Fedne7yBJvaJ\nuoWaaaROnp5aaKFmGZioR3cA9BcEdXvs9Yhi795OLk7skyNWMOHpen4mPz2OXVkxSv3pcewq3Gy8\nbmGsZsKgULGr1AS6x24a0ZBFQ24+HSj2tuMnIDMNjNZNLLd0WyFcoGQaIcnrVogVePZCKk8Po7WQ\nPMNUwjkmT6ViVw/GxtGabI9ft1xRMTHF3rBNjNYsLLedIIooD+y4FTNiw/FEMELLu6GIiiha0RW7\nVMhFbB3TICxKIh6vW2iVsDtUn75cIUFVScTxMqrsdJop+ZHyoIrOQcf5EO0DTexEhI1jtdRlw6dk\nDDtR9CHdMGpjNuZ/dnvsva0YwLdRlBWjohfsWFRMZEJVphkAQhIfb1ggIjlJqYcoUrdC10MWpcL2\nhFwu3nIwJjfmUIpdkbFlhBE2JoUdRFSxh3Hy6iEbrZlo2CaabTe3FaPKc+XkqUHA5IhSsn6qBrvA\n5KkjI09GaiZG6yaWpGLPS8SqHUrFTo+Gk7Gq/nlgmwY8z++Ep0eiZRUidqKg05kasaXdUWyFrfr+\n5ZYT2H5l7Y4qQwCB1bOJqlgQVEX7dJyPCdSBJnbAn0BNS/RzaqHV5a8DvjqbW+lEJjK649ijVozr\nCSw0nYCcAEnszSix67liulIKWN0euxpNKC8bkB67Fu4IKAUcJWJ9V6allosxWZZS2Wpi1TYJBmmK\nXRbTHe7ojzLUQzaiWzFu9+RpEvfZWgdiypWnKzJ0clR2PMrasXOQp2USiPy2NuVvNVozsSI7nSJE\nDISEojpsRaYGFVPszY4f6UQUKr0iZGwaFNRtcsS3iTwRLuPPVTd5bZbbLiYbdvC6DFTbJupWJJdK\nUegTpmU7HYUi8yRJqHq+83z47ANP7BvHaqlWzOnFdiQiRmFqtAYhQtXseSKyahToXqCkPPE0j73l\n+jdjEBUjY8K74tglseuKHYAffdJSVow/CavfmGZMsatcMYDvOy+2HIxLYh+rW1hqOUEopL7YSbdi\nrPjkqYw7Vw/tqG1iRO6zqlSLbRjB0D5JiapjEcUurRPVcSrCMnOQlCGTlKnJzhFZNzVJnPchVr/T\nYhAVExJeEUKomQRX5mNp2CbqlhGQZ16bCIBsq3/+1IjlK3ZNJOSBGhktt0NhUtqKkedPNKzKiFiJ\nnCwbvmcqr2H1/9AaoGyK4ywYeGLflOCXK5xaaGGztupUQZGzyjnSlHaL2mMU0KwYedMqAu/y2GWs\nsvLig4gTGbOucrUAMY9dEbu8mSe1FZ5hSoFonHk30St7wvOtmJhiVyrbMmIeu/ZakbShLVBS9sRY\nPSRjZTlZmvpP8sh1Yg+iYtouRmpGcH1Vp5aH71R56rqN2AYathmE2uX3xEMVC4S/62LLkdclf0fh\nel4wV1O3zMDTLhITbxhRK8aR4qNIWeo+WWq7wZqJZmkfW444G3ZlVkXVRLxuiZ0Ve3/MJES4AL51\ncnaplajYp+VDrMhaKdSRHlZMIrHLm7rteIESD3LFSFJzvWh2R6VGlDofq4WKfVFT7HaXYo/+7W+Q\nTfLzIkLs8agYvawIsZOm3rXJUxWj7Fsx0VBMXX0mqcfAigk6Cn8EoBQ2ENodeRQ7kd9mdY1G5MRu\ns1NesdsmBe1cbjswiZBXF6v5k7brYUQq9pW2umb5VbYVI3bAv0+L+PXqN2k7XmWKXVknEw2rssRW\n4xUT8Xjd7v+hjBit5dvrtxfYY8+AjeM1LLfdrpnrs0tteKI7hh0Ih90qXauaOdfj2JUy6kXsU7Kc\n+WYnkloXkHHsjuenzdWsGLWcfrHpWydqInOsbgVqtO34xK57s3bcipFEDPgrVX0rxr/54lExuto3\nKFTcRky9q/IViY/WTIzUjKCNqh6qFkkWg1KHEcXecTFSswJiX2wVUOwyqZg6tyE7CrXyNK/3rHvs\nDcsMfvulVjErxjaNwCZq2CbqthGMfIpGxSzFRhPLbbeYFaN9/1jNjKyHKIsqyViF/VYF9TxUgSrV\nv2Arpj9UzpZ4LLuKYd+U5LEHVkxUseuTp0QU2fc0TbEDPhEGk6fa4p+OF91owwoUtofFViewYQD/\nAQkVe7jrkYKutAHA1KJmlH2i1L9S7G09r4wRKvOIYjd0xe6/nm/qPrZf5qKm2JVLkWQLqParHZmU\nxz5iG0Gnt1hAsSuPfUGvWy20YvKScVgXF/WY/1+I2DVPvWH5VkwwL1GQ2JUSntJUdhnFDvhzR+p3\nq2JusUoyHq9Xq9jHKiyvyrqxYs+AjSlJvdSq0/jiJCBU2oqs1eSPTuyA3NC6k67Y9aXjyoqpmX4Z\nanm+HhWjHiif2J2I2pmoh8m21AbYcY89rtijUTG6x26h2fEie6UamjJPimk3NMWu/HRfsYc7+Kh6\nKCRFe+hhlSofe7PjWzGGQWjYRtBJ5BGfhuwodCsmDMX0ikfFtBw0pF8PFFfsNTM6mvAnT1Uce7Go\nGAX9nss7l+B/vxYUYBvB/FHeyJ+wvPC8KpVs1VZMpcReYQfGHnsGqHwxcZ89i2Kfk3nCFbGPxInd\nNrusmMmR8GZRfqVuxYSK3Q8djO55GnriC00nqtjrfuRDW9o3agciBdMwIguUTE1hd1yBpbYeFROd\n8NQVu2lErRhDV+xG1HYZq4chikrF24YBZcYkqceaNjrxo2K8IO+MusaBYs+hPg3lsWuKXYVium5x\nxb7UcmTETphiQJ9Uzgo9c2ddjk6UD11EZesErofYFlPs0VQZgWIvKNl1wVElsY/aZmUhigCCdR1V\nIL7IsQzOR76YwSd2acXEt8jrpdjrlk8KgcfeUR57gmLXrBjbpAj5KytmfsUJPqdbMW3XkxEbYaQM\nECp2/aFQakVtSlGzDBCFIY1dC5Q0Rb/Q7MATiCh2IIz6sbQkYFErBpp6D+PmVaTPSC2c8FxIUOxJ\nHrtthmpQ5Y/3J0/9OkWIPQd7pnnsjky8lVfJqt9pqe1vsKLSSSy1nFz1UtDJ0/fsw/ukiMrWO1xl\nsfnfU2AiVjtH+f9AvuufVt5khUq2pnU6VaBKxd6wjULXPgnnIw/Y4BN7D8XesI3UXntqJFx9upKm\n2C0jothVyl6FCS3dbnyBkmXqudOjCrfteMHkqYJ6fVYSu66w1d/dC5T891QHpSaLlGJXKYVtLW1v\nXLGHxI4uxT5qm10hivrNXUu40SMdkfTYmx03mIRt1EJiz0N4yioKiT20Txab+X1xPaWAHmPfkeo/\nL+fpC7fq2nxC/L2sUNdGJ2KgWEx8XLGrNRpFxbH+u1XpPdctrdOpQLlXXbeqOh322DNgtOb7mfFF\nSn4Me3c6AQV9cVHosUcvR90yA499fqUTGRIDUSumFbNirAgJh3HsgOaxazee6iRUB6UeRlVOL49d\ndVDdir0TfG80WkXWKxLuqCv2jn+OaQSdXRDHbhhQYTG9FigZsiMKJ09DKyZY3ZmH2Ck6edzQOh2V\nDTMP9I07/E4i2mnmhf7Q10wzkp6ikGInRexG6bL0c+qWGXQ6ha0Y2VaialWxrtiLtDOO0VrFdSvQ\nQSeBrZgMICK5SCmu2NuJ/rrC9KgdKNqVtMlTO2rFTMWIXSXvml9xusId7YRJxnCyU4Y76lZMPRqC\nqeecAXxCTfPYlX0TxrGbQZ1VGWkLlATCRUx6uONoPSRidUyVFYY7dj98+spbyyB0ZO4ZndiV1ZNl\naBuGaUYJV9lp4efy3cq1HtZJsXBHrW7aBKX/XgHFLsvTiRgopv4j180OCarw5Kmh6lYd2QFR8iyr\njom6hVoZVNlWnjzNCD+tQLfHnrQ4SWF6pBZ40K1eUTGSsOeb3cRORJgc8fPFBFEx2uSpQphSwP+/\n7XhYbDtd4Y5AqNhrmqUBJCl2I/gOReCqvFH5f9SKCcvTrRh1j5lmGBc/3+xgVBFxLCpGb1cSYak6\nKptnueVCCH+xkypP+fVZHl7VZL0jA/yHdiRCxn2LikB/SFUUS/w786Db7tCuUyEyltZVrJMoo/4B\nvxOra51vEaj7pEp7wi8vvG5F4vV12ObqdTplwR57RiQlAju9mJwATGFqxA7UceCx1+LEbnZ57HGo\nPUGVZaMvUFIIsjtaIRELEY0oUKR8bkl57FGvUZ/0VMfVg6naEVfsuhWTtvJU3WS2lu99fqUTXIu6\nZUR2irI0/7mXFaMUu1L6Sj2N2Gaw8CayijWFZBQpEUXnGHRf3G9Xvls5HgJIRBEbLe/aU52867ER\nQJ5kZwqK13zFHpZVhWJX5RUlz3A0YWRO45wFvipWdStXbt2sdiK2VmF5Va3U7YWhIPZ46l7H9XB2\nOYMVsxKLiok9NH4cu09C8yudxAgAlbq3W7Frk4yx4eXZmHUCaB67fM/WSAaIJvJS5XcrdrXy1Ioc\n19W+ZRiBr57WUcw3ncCfJPKX24f2iR7umDR5GkZcmAYF10XZJnrnqZ+f5vcGWSkpOqFsm1HFXtRj\nB8KRmvr9i3jPEY/dMkp1OkD4uzdiE7FZNzrREbWwNFVcoF4AwtxHlhFsgFIFdLujLInaFdtE9dhc\nRxnwRhsZsWm8jjNLreCCnVlqQwhgSy/FPurnuG52XLmij7pUQt020ZZbks03nUgMu4JK3dsVFWPo\nD2PUnlGeeFJUjFLfgRWj/HmD0j32lRTFvhxOxIb2S0hc/qEw7YCq3/xKJ+Jfj9TMlAVK3REMQZhe\nrCNq2FHPXj/fv17JZBp47NpIQxGwPjlWNCrGL8+M1FEflWQvL0qeukio5dy2DwjbE7eJCil20utm\nBvv5FlXsqm5VK3a9oyhrxejBBWUQrrI2K+soOComIzaO1dDshFuwnZz3/faexD4STlbGt8VTUB67\n2swhzYpRk6cGhUNI/cYMc7T7x5RtpFsxozUTRAiie+JWjNm1NV4Y6TIXGwEowpuLRMVonUKggkMr\nxtKSjLUcL0LsozUz8OL1Ditpabp6qfZkVQhUcQqxp8VUB9knKRxR1AP/v7j3HFXsSh3LMMAiit2K\nduT1lHZmhU7s+jWrxorp7pDzwI5M7Fa3CEgPdywbFWMZVIl1ou77aqNiKimmJ4aC2GfGorHspxab\nAJIXJymoXW7mVjpYbrlBFIgOf/WgG646TbJiRvx0u81OdAem+NAc0BW7VNia4lS7KKkUxLp69M/t\n9tjVA3YuVp6/RR5Fo2ISbA/ToGCUo+eKAaJqOKqyuxW7PjmntEh8QdWI3duKMVMUmp68LK7YI3ZH\nToVXT7JibGUDFMvuGJQdU9lFLI+Q2GMx8QXISu+o6lVOnsbqVjDIJoAe7lhWbZsmFZq0TkN8QrwM\nOComI9QiJbX6NFDsk43UczbIfDFnl9pdMeUKKq/5fEKeGAXfinGw3HEjKjfJslAErzqgeG6MiboV\nrJhtBAs1whFAJHeMpohnl9sYiS3HHq1Z2g5KRkQRq2fGMCggYj2/OxAl4Gi7wiRgqo36A606injS\nMj2lQPy6qPYkIRwBRBftqDYGbcrJKvpDOhIbTZRdtl8zox67XcCKCdpqmZGRTxHrIxrHrk2eFvTY\nI1aMJmbsguXpdUuKKisCU1u1XQWqXBXLxJ4RKq2AIsyTCypPTPcmGwobtRWrCy0nMcnPeN3Pt64i\nVeILlIAwj/pi04mQYcSysFR4mP+/6oAmYvmixxtW8F5csfv52MPP6jsozTedroUiYzFlrB5GAkWs\nmMBiMeOKXSf2sGzLCNWsevh0fRtaNimKPc2KSSN2bQGV6uTqCWXlHSZH4tiVFWMVJ3Z91GKbFN1m\nsYTK1i2domVFF3aFvnhRHztixURWxZYj0lqF4Y5GRVaMQs0yCltXcZyPqJj1ucVITsQzPJ5aaGF6\n1O7p/20M7JsWllpOYpIfpaiPzq4ASFHs8tjJhWaEDJOiYhRBqo5nLGb/jNetwPOOx9TbRjTczzIM\n2IbQzo1+XkXG2Ka/G5AiWQERkIYRsWKiPrzeUUTtk26VHVHswWSsEfPYJXmmjGr6KW49skeVVWZS\nMZoCQIZ22sXVon7tiCiyOKbo1nhA9yKbKiZPawkWWr66hdc/vm9uGdQtszLFbhlUbVRMhcTOcewZ\noayYM4Fib/acOAWAjaPKvmljsel0kSwQTm4em/U9++RwR/8zJ+ZbwSIcoHtoDoSRLyfm/fLiVow+\nalAPdIQoU6JigO6l3Uqxqw5CvylFELuebsWMJVgxSvmrG1MRoX6764pdJ6WkqBidFNJSP6ijlmEE\nPnrSkvi86kyvR9yKqVmU2zCOT7hG0gAUUJ9GQOzR+7IIWUU8dk2xF7UEAsUez2NTkvhqESumaKcT\nzslUO7FrFO4I42ArJiNG5e48auLx5EILWybS/XXAJ8rpUVvz2BNslrpS7MsAeiv2E/PNYLWmX37U\n1wR8sibyl+fXzO64WH3UEH+g4wuU9Dh2oDt9qhodhMQe2ibqxrItI0LEdkpHocpS9VWdjbIudFIO\nVrIaUTtiJPDFk69R2jOjjutx9vFrA+QnvNGEa13GY4+nZtY7tSKEoM6IT9gVi2OPnq/KKGoJKAEQ\nX7RTJF5fR5X+v2lQZZOdft3M0pPDCpwrJgf01afHZlewbao3sQO+HXN2qY2FZicxr7RS1M+dXYFB\nyRsBqPOW29HJ06SoGKIwBWvSCGG8F7HHomLUDk/qULxjGovletHVlKdFwgRWTKx8PWJnNFD/UunJ\ncK0kxe5p5UWIvc/kab+HRp8nSAtNzQPdugo99tAGKBoVo+YbkjqfPFCkW4Vi10lSj7IpSuw1Tajo\nNlNZp6Jhm5Gyi0BfxFb2N9BRqcfOij07ZsZqOL3URrPj4sR8C7s2jGY659RiC4utZCtGEe0zZ5aw\ncayW+MPq9sxIyoSjTmCKJJM6Cf1YfBWsZXbfWEQUKOvJVMXebVvIxaCoWYYWnmhE61nX26LSC/j/\nK/IOHpyIx+7DNKKRIfFFQECM2FOpNHxQ03xn1ZY8UDtd6XUq47GrmPrg2midT5Ghdye2Ylf99kUm\nBKOplssTuzo/nua6LPE17HAEUCtoo9iaiKoyCVjDrs6KOQ+8PjzEvnWygWOzK8FE566NI33PmRmr\n4/CZJXgC2DDaHUGj1PjxuWYQeROHbs/oil3vKHQ1qYg46fvUe/pCJ72MpIdadT7xjiJNsVsmBUNB\nyzAi1oluv+iKPZ5DRxGValeax64/+Kpj0cvS3++v2MOomHh9gChRZ4Ee9x547JJMaiblXvatylBn\n6aRS5EFuOdHNX9QEaBHFbsfmMtRkcVFiT1psBhSfjFXQJ0+LBsWo+1YIUalir9KK4VwxOXDx5nEc\nPrOEw2eWAAAXZFDsG8drODGfvoWebm/MpIRO6hbOtEbWumKP+tX+zZbYkQTE3h0t0rCjaWrj5aV5\n7OohDiJhKEzVSxSSdM2iSGcUCXdUpCU/G4/ciU58hnHsSYopLUQxbeJNqU1dsSdtoJyX8KLpDtTw\nX3aCppF7uFyPEbDuhRfxVBWxx3/zpHugH5JEQhmojjU+KVw2CkXNQQHpk+lZ6waUb6eOhm0W3nEq\njnU/eUpEP0FEDxORR0T7q6pUEVyyeQwdV+DOJ04DAPbM9Cd2PXImibhnxmvBjZaWUEz3xadHk9V7\nRLHXlGJPiJuX5GzEvHRA7fHZbd8o/7RfVEyYBCxc2OS44SbQfk4SfcTRPXka56dAsWv3u1Ij8W0E\nFZKO+Z9PvhX1lMeqQ0paTJaXVCKpbGMrT/29WnMVF7RLFat3akUEWjtG7KrtRTaPiHeaSb9bHqiR\nY7xdZePG9fuvaN30aK6inUMSGnY1HvvB37ker7l0UwU16o2yXdpBAG8FcGcFdSmFizePAwA+951j\nmBmr9UwnoHDRprHgdZLVYptGcHzrZHJ5uhraqKnwqM0Q3hBTktCnExS7IqzoKtHQV05SwE25EYhK\nqxCUJTsJK+bNukJoOzmJCLHr2KiVF7d5FDEoktGHlkGWS9NMHAo3asm3XFpIYJC/RVtMlaRa826D\nppNQfOGZbldlxYhWTyC6sKiIQmvHrBhVnSLbvcUJKdwar+gCJTWJHm1X2UVFpkHBXEv+pA4+gqyk\npWrSjYZtVmKhjNet0imJs6DUNwghHhVCPF5VZcpg3/ZJ1CwDZ5faeOkFU5l6a53Yd6cqfP/H3KN9\nNg26qk9LJKVIaed09xxAUmSOHsed1KaOJIB4eOf2Kb/85Xa4+TMQbgMI+ISjHvq4ktaJfbuMMFJl\nKVIM7CTtflcRM2nbpiVZUEC6D61nkOw1qRmfPO4HPf56XEtRDACOK3JbMSOxSU79ehZJ06o67LEY\nUSXlNOqH+Pc3Ssax61Ze9HsKFZdYtlswU1bZziUNDdvfOH1QMDQe+0jNxKsvmQEAvOmKbZnOuXSL\nr/Itg1KVkBo2vWzndGo56jOXbZ3o+5175XdesqW7o3jx9kkAwEt2TgbHrtrtf69uFek2znUv3gqg\nu2PavdH/++oLNwAIJ3kv2TyOffJ7tk428NKdUwBCElYkrqttNV/xij0bAQD7dvjnb5/2P/ui7WG7\nX3bBVHD+Dvm+3oHGyVldd1Vf9Vk1QnrNpf5vOlqzcPHmsUh9AOD6K/z2T43awailVx5+9T11ywjK\nU52w+m02T9Rx+bb+v6UOZcNde7F/jfQ0EtsTOvFe2Ld9Elft8n+3LfI6XP8S/57elDKJ3ws7Yt+v\nOn11/xctT12jF8n/9fs2K+I20YUb/d8k7zVT2DPjn/99l28pdH4c3/8iv5yxmhncm2/Yt7Vg3frb\nw1WB+qkJIvoygCSm/E0hxK3yM18D8B+FEAd6lHMTgJsAYPfu3VcfPny4aJ1TcWqhhW8cOo0f+Z4d\nmf2wew+fxXjdTn2Qzy218e1nzuKNPTqLs0ttPHxsDq/duzly/KEjczANCogQ8FXvHY+cwI+8bEei\nqr/jkRO4avd0QE5zKx3c+cQp/PDLtoOIcP+z5zA9WgtusoVmB3c+cRpvfum22EIhgc8/eBzfd/nm\nICTzjkdO4LV7/U7oK4+exPVXbMVC08FBre6HzyxhdrmD79kV7ci+/MgJXCnrNbfcwcPH5/CvLtmE\nrz52Ei+/cAOOza6gZhm4YMMIvnnoDF4vH4ivPX4SL9o2GVlXcP+z5zDRsHHplnEcObeME/NNvGjb\nJL715Bns37MBDx6Zw+XbJvD06SXs2zGJe546i+tevAVt18NXHzuFN+7bGly7o7MreOrUIl67dzOO\nz63g6LkV7J4ZxfHZJiyTsGG0hoNH53Dl7mk8/vwCLts6gadOLeFVl8zg0MkFnFls45UX+52H43r4\n/IPH8aaXbIPjCTx4ZBa7N47ixHwLricwPWoHaZ4v3jyGE/NNbByrw/U8XLplAl96+Hnsv3ADZuRv\n960nz2DrZB17ZsbwpYefx7UXz+DJU4vouAIbx2rwhMBSy8F8s4Od06NwPYGm42LPzBgMAu5++iyu\nl/fdqYUWHjwyi+tevBXfeW4W26cbOHRiEZ7w5x86roAnBFxPwDYNbBizMT1aw+PPz+P1l2/Bg0fm\nMDliB/fNvzxxClftnsbJ+SbajsCJhSY2jtbgeF6wCfm5pTbqcgvChaaDXRtHsdhy8OLtE7jzidO4\n7pOmZNcAABHpSURBVEVbYBiEp04t4sxSGy/dOYV7D5/D1IiNjuthdqWDjuNhcsRGwzaDbKPTIzaa\nHReTI35nPN/sYLnt4mUXTMPzBL7w0HH84Eu24euHTmPrZANLLSeISjm50MT8ir83gmUY6Lie397R\nGo7OruCN+7bitoPH8X2XbcZEw8bBo3OBSJlvdnB6wf8t924dh0GE5baL5baLhu2H+7YdL1iTYhqE\n6VEbz5xexmv2bkKz4+LOJ07hey/bjAPPnINlEqZk2w6dXMTO6RE8e3YZtkk4vdjCS3ZO4fhsE1sm\n61hsObhs60RP0ZEFRHSvEKLvfGZfYs/4ZV9DH2LXsX//fnHgQKaPMhgMBkMiK7EPjRXDYDAYDB9l\nwx3fQkRHALwKwBeI6EvVVIvBYDAYRVGJFZP7S4lOAShqsm8CcLrC6gwCuM0vDHCbXxgo0+YLhRCb\n+31oTYi9DIjoQBaPaZjAbX5hgNv8wsD5aDN77AwGgzFkYGJnMBiMIcMgEvvNa12BNQC3+YUBbvML\nA6ve5oHz2BkMBoPRG4Oo2BkMBoPRA0zsDAaDMWQYKGInojcR0eNEdIiI3rPW9SkKItpFRF8lokdk\nPvtflcc3EtEdRPRd+f8G7Zz3ynY/TkTXa8evJqKH5HvvpyqTUK8CiMgkovuJ6PPy76FuMxFNE9Gn\niegxInqUiF71Amjzf5D39UEiuoWIGsPWZiL6MBGdJKKD2rHK2khEdSL6W3n8biLak6uCQoiB+AfA\nBPAkgIsB1AB8B8C+ta5XwbZsB/By+XoCwBMA9gH4fQDvkcffA+D35Ot9sr11ABfJ62DK9+4BcC38\nzK63A/jBtW5fn7b/OoC/AfB5+fdQtxnAxwD8gnxdAzA9zG0GsBPA0wBG5N+fAvAzw9ZmAN8L4OUA\nDmrHKmsjgHcB+DP5+kYAf5urfmt9gXJcyFcB+JL293sBvHet61VR224F8AYAjwPYLo9tB/B4UlsB\nfElej+0AHtOOvw3An691e3q08wIAXwHw/RqxD22bAUxJkqPY8WFu804AzwHYCMAC8HkAbxzGNgPY\nEyP2ytqoPiNfW/BXqlLWug2SFaNuGIUj8thAQw6xrgJwN4CtQojj8q3nAajEz2lt3ylfx4+vV/wx\ngP8EQN9FYZjbfBGAUwA+Iu2nvySiMQxxm4UQRwH8AYBnARwHMCeE+CcMcZs1VNnG4BwhhANgDsBM\n1ooMErEPHYhoHMBnAPyaEGJef0/4XfXQxKIS0Q8DOCmEuDftM8PWZvhK6+UAPiiEuArAEvwheoBh\na7P0lW+A36ntADBGRG/XPzNsbU7CWrdxkIj9KIBd2t8XyGMDCSKy4ZP6XwshPisPnyCi7fL97QBO\nyuNpbT8qX8ePr0e8GsCPEtEzAD4J4PuJ6BMY7jYfAXBECHG3/PvT8Il+mNv8AwCeFkKcEkJ0AHwW\nwL/CcLdZoco2BucQkQXf1juTtSKDROzfBrCXiC4iohr8CYXPrXGdCkHOfH8IwKNCiD/S3vocgHfK\n1++E772r4zfKmfKLAOwFcI8c9s0T0bWyzHdo56wrCCHeK4S4QAixB/5v989CiLdjuNv8PIDniOhy\neeg6AI9giNsM34K5lohGZV2vA/AohrvNClW2US/rx+E/L9lHAGs9AZFzsuLN8CNInoS/Nd+a16lg\nO14Df5j2IIAH5L83w/fQvgLguwC+DGCjds5vynY/Di06AMB+AAfle/8TOSZY1rD9r0M4eTrUbQZw\nJYAD8rf+BwAbXgBt/h0Aj8n6/hX8aJChajOAW+DPIXTgj8x+vso2AmgA+DsAh+BHzlycp36cUoAx\n9CCiNwH4E/ghs38phPjdNa4Sg7GqYGJnDDWIyIQ/ynsDfGX1bQBvE0I8sqYVYzBWEYPksTMYRXAN\ngENCiKeEEG34E7c3rHGdGIxVBRM7Y9gxlOsfGIxeYGJnvOBBRDcR0QEiOmCO1NibZAw8mNgZw46+\n6x+EEDcLIfYLIfYL57zWjcFYFTCxM4YdudY/kOOlvcVgDAysta4Ag7GaEEI4RPTv4SdVMgF8WAjx\ncOoJBmsdxuCDwx0ZDA1GvSa8Vnvd5P1mMIqA5QmDoYN1DmMIwMTOYGigDjM7Y/DBxM5gaBA2uzCM\nwQcTO4OhwTI5KoYx+GBiZzA0uM21rgGDUR5M7AyGBmHzI8EYfPBdzGAwGEMGJnYGQwN12GNnDD6Y\n2BkMDfURJnbG4IOJncHQ0Gpzlg3G4IOJncHQIPiJYAwB+DZmMDQQOzGMIQATO4OhgRU7YxjAtzGD\noYGjYhjDACZ2BkMD1TlXDGPwwcTOYGioG+5aV4HBKA0mdsa6AxHtIqKvEtEjRPQwEf2qPP7bRHSU\niB6Q/96snfNeIjpERI8T0fXa8auJ6CH53vuJqKck7whW7IzBB++gxFh3IKLtALYLIe4jogkA9wL4\nMQA/CWBRCPEHsc/vA3ALgGsA7ADwZQCXCSFcIroHwK8AuBvAbQDeL4S4Pe27TbKEKxxmd8ZAgxU7\nY91BCHFcCHGffL0A4FEAO3uccgOATwohWkKIpwEcAnCN7CAmhRB3CV/BfBx+B5H+3ZwEjDEE4LuY\nsa5BRHsAXAVfcQPAu4noQSL6MBFtkMd2AnhOO+2IPLZTvo4fT/8+jophDAGY2BnrFkQ0DuAzAH5N\nCDEP4IMALgZwJYDjAP6wou+5iYgOENEBYbE1yRh8MLEz1iWIyIZP6n8thPgsAAghTgghXCGEB+Av\n4HvqAHAUwC7t9AvksaPydfx4BEKIm4UQ+4UQ+8nkR4Ix+OC7mLHuICNXPgTgUSHEH2nHt2sfewuA\ng/L15wDcSER1IroIwF4A9wghjgOYJ6JrZZnvAHBrr+8WLs+bMgYfnMqOsR7xagD/BsBDRPSAPPYb\nAN5GRFcCEACeAfBvAUAI8TARfQrAIwAcAL8shFAB6e8C8FEAIwBul//SwVKHMQTgcEcGQ4Nh14TX\nabNsZww0WJ8wGBqIF54yhgBM7AyGhnqjs9ZVYDBKg4mdwdDQdO21rgKDURpM7AyGBmrznBNj8MHE\nzmDoqK91BRiM8mBiZzB0tNe6AgxGeTCxMxgahMmRjozBBxM7g6GhZjlrXQUGozSY2BkMBmPIwMTO\nYGjodDjLBmPwwcTOYGgQzOuMIQATO4OhgdhiZwwBmNgZDA2CnwjGEIBvYwZDA/HOeIwhABM7g6HB\ntDm9I2PwwcTOYGhwW/xIMAYffBcz1iWI6BkieoiIHiCiA/LYRiK6g4i+K//foH3+vUR0iIgeJ6Lr\nteNXy3IOEdH75RZ5DMZQg4mdsZ7xeiHElUKI/fLv9wD4ihBiL4CvyL9BRPsA3AjgCgBvAvABIjLl\nOR8E8Ivw90HdK99PRa3BVgxj8MHEzhgk3ADgY/L1xwD8mHb8k0KIlhDiaQCHAFwjN7+eFELcJfw9\nID+unZOIFi9QYgwBmNgZ6xUCwJeJ6F4iukke2yqEOC5fPw9gq3y9E8Bz2rlH5LGd8nX8eAREdBMR\nHSCiA3BYsTMGHyxPGOsVrxFCHCWiLQDuIKLH9DeFEIKIKtkVQwhxM4CbAcAki3faYAw8WLEz1iWE\nEEfl/ycB/D2AawCckPYK5P8n5cePAtilnX6BPHZUvo4fT4fBjwRj8MF3MWPdgYjGiGhCvQbwRgAH\nAXwOwDvlx94J4Fb5+nMAbiSiOhFdBH+S9B5p28wT0bUyGuYd2jnJ8HiFEmPwwVYMYz1iK4C/l5GJ\nFoC/EUJ8kYi+DeBTRPTzAA4D+EkAEEI8TESfAvAIAAfALwshlFn+LgAfBTAC4Hb5Lx0max3G4IP8\nYAEGgwH4HrsrHI51Zww0WJ4wGBqExY8EY/DBdzGDocPs/xEGY72DiZ3B0DBicEJ2xuCDiZ3B0LDC\nK08ZQwAmdgZDAzkc7sgYfDCxMxgazMZa14DBKA8mdgZDg+PyI8EYfPBdzGBoME22YhiDDyZ2BkOD\n11zrGjAY5cHEzmBoqI9w2l7G4IOJncHQ0FrhFUqMwQcTO4MRAaeJYQw+mNgZDB0mEztj8MHEzmDo\ncDkqhjH4YGJnMDQ0RpjYGYMPJnbGugMRXU5ED2j/5ono14jot4noqHb8zdo57yWiQ0T0OBFdrx2/\nmogeku+9X+6klIrmCj8SjMEHb7TBWNcgIhP+PqWvBPCzABaFEH8Q+8w+ALfA3xd1B4AvA7hMCOES\n0T0AfgXA3QBuA/B+IUTqLkpGrSa8dpuNdsZAg+UJY73jOgBPCiEO9/jMDQA+KYRoCSGeBnAIwDVy\nw+tJIcRdwlcwHwfwYz2/jSmdMQRgYmesd9wIX40rvJuIHiSiDxPRBnlsJ4DntM8ckcd2ytfx46mg\nDo9gGYMPJnbGugUR1QD8KIC/k4c+COBiAFcCOA7gDyv6npuI6AARHRDExM4YfDCxM9YzfhDAfUKI\nEwAghDghhHCFEB6Av4DvqQO+B79LO+8CeeyofB0/HoEQ4mYhxH4hxH7ioBjGEICJnbGe8TZoNoz0\nzBXeAuCgfP05ADcSUZ2ILgKwF8A9QojjAOaJ6FoZDfMOALf2/MY6m+yMwQfvA8ZYlyCiMQBvAPBv\ntcO/T0RXAhAAnlHvCSEeJqJPAXgEgAPgl4UQKpvXuwB8FMAIgNvlPwZjqMHhjgyGBqNeE16Lwx0Z\ngw22YhgMDXXTWesqMBilwcTOYGhoOexOMgYfTOwMhoYRixU7Y/DBxM5gaHAE2+uMwQcTO4OhoSN4\nByXG4IOJncHQQC1eocQYfDCxMxg6eIESYwjAxM5g6OgwsTMGH0zsDIYOjxfsMQYfTOwMhg4W7Iwh\nABM7g6GDU2wwhgBM7AyGBt7MmjEMYGJnMDSseJxSgDH4YGJnMHSwYGcMAZjYGQwNvIMSYxjAxM5g\naOBUMYxhABM7Y81ARB8mopNEdFA7tpGI7iCi78r/N2jvvZeIDhHR40R0vXb8aiJ6SL73frkNHuRW\neX8rj99NRHv61snlqBjG4IOJnbGW+CiAN8WOvQfAV4QQewF8Rf4NItoH4EYAV8hzPkBEKmPXBwH8\nIvy9TvdqZf48gHNCiEsB/A8Av9evQsJkyc4YfDCxM9YMQog7AZyNHb4BwMfk648B+DHt+CeFEC0h\nxNMADgG4Rm5wPSmEuEv4+zx+PHaOKuvTAK5Taj4NDZvzsTMGH0zsjPWGrUKI4/L18wC2ytc7ATyn\nfe6IPLZTvo4fj5wjhHAAzAGY6fXlrTaHOzIGH3wXM9YthBCCiFbd9CaimwDcJP/kuBjGwIMVO2O9\n4YS0VyD/PymPHwWwS/vcBfLYUfk6fjxyDhFZAKYAnIl/oRDiZiHEfiHE/grbwWCsGZjYGesNnwPw\nTvn6nQBu1Y7fKCNdLoI/SXqPtG3mieha6Z+/I3aOKuvHAfyz9OEZjKEG8X3OWCsQ0S0AXgdgE4AT\nAP4rgH8A8CkAuwEcBvCTQoiz8vO/CeDnADgAfk0Icbs8vh9+hM0IgNsBvFvaOA0AfwXgKviTtDcK\nIZ7qUydXCN4fjzHYYGJnMDQQ0V1CiGvXuh4MRhkwsTMYDMaQgT12BoPBGDIwsTNekCCi3ySiNhF1\niOh0PIUBEb2OiFry3woRzcu0BQ8Q0YG1rj+D0QtM7IwXHIjIBvDbAN4A4E/hh0H+OrQUBgBeCX9B\nUwPA6wHUAbxeCHElh0Uy1juY2BkvRPwMgDkhxL8A+CEAXwfwy4imMHg1gCPCx13wn5WtCWUxGOsO\nTOyMFyIuB3Bavt4K4HEAOxBNYbAZwKVE9CAR3Q7ABfBZIrpXrlRlMNYtOKUAY+hBRF8GsE07tBXA\nBBHdoH8ulsJgDsD/IYS4g4jeDD/e/qcBPAvgDiJ6TCYxYzDWHVixM4YeQogfEEK8RP0D8BsAFoUQ\nt8JfGHU5gGOxFAaH4S+cghDiNvgiaEUIcRLA3wO45ny3g8HICiZ2xgsRHwcwRUSvBXAbgNcA+ACi\nKQzuBPAO8vFL8JODPUJEYwDeCOBgd7EMxvoAWzGMFxyEEC0i+n/gR8EQgHkAfwhgHP5EKgDsAXAd\ngCZ8Uj8B4AH4z8zfCCG+eJ6rzWBkBq88ZTAYjCEDWzEMBoMxZGBiZzAYjCEDEzuDwWAMGZjYGQwG\nY8jAxM5gMBhDBiZ2BoPBGDIwsTMYDMaQgYmdwWAwhgz/P7d1v3B2XIIoAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x8d9ff98>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "def test_debug():\n",
    "    x = np.linspace(1, 50, 10000)\n",
    "    img = np.sin(x*np.cos(x))\n",
    "    plt.subplot(211)\n",
    "    plt.plot(img)\n",
    "    plt.subplot(212)\n",
    "    plt.imshow(img[:,np.newaxis])\n",
    "    plt.show()\n",
    "\n",
    "test_debug()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 533,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-36\n"
     ]
    }
   ],
   "source": [
    "num_1 =-0o66\n",
    "print ('%x'%(num_1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 527,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "54"
      ]
     },
     "execution_count": 527,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "eval(repr(num_1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 534,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 534,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "num_1 == eval(repr(num_1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "data = [[1,2],[32,32],['r','t']]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[[1, 2]]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[0:1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "a=[1,2,3,4]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "4"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "a[len(a)-1]"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}