{
 "cells": [
  {
   "cell_type": "markdown",
   "source": [
    "# 理性认识「类与对象」"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%% md\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "True\n"
     ]
    }
   ],
   "source": [
    "class Human:\n",
    "    eyes = 2\n",
    "    hands = 2\n",
    "    legs = 2\n",
    "    has_hair = True\n",
    "\n",
    "    def walk(self):\n",
    "        print(\"Walking\")\n",
    "\n",
    "    def run(self):\n",
    "        print(\"Running\")\n",
    "\n",
    "    def think(self):\n",
    "        print(\"Thinking\")\n",
    "\n",
    "\n",
    "def is_human(obj):\n",
    "    if (\n",
    "        (hasattr(obj, \"eyes\") and getattr(obj, \"eyes\") == 2)\n",
    "        and (hasattr(obj, \"hands\") and getattr(obj, \"hands\") == 2)\n",
    "        and (hasattr(obj, \"legs\") and getattr(obj, \"legs\") == 2)\n",
    "        and (hasattr(obj, \"has_hair\") and getattr(obj, \"has_hair\") == True)\n",
    "        and hasattr(obj, \"walk\")\n",
    "        and hasattr(obj, \"run\")\n",
    "        and hasattr(obj, \"think\")\n",
    "    ):\n",
    "        return True\n",
    "    return False\n",
    "\n",
    "\n",
    "obj = Human()\n",
    "print(is_human(obj))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "obj.eyes: 2\n"
     ]
    }
   ],
   "source": [
    "print(f\"obj.eyes: {obj.eyes}\")"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "obj.hands: 2\n"
     ]
    }
   ],
   "source": [
    "print(f\"obj.hands: {obj.hands}\")"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "obj.legs: 2\n"
     ]
    }
   ],
   "source": [
    "print(f\"obj.legs: {obj.legs}\")"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "obj.has_hair: True\n"
     ]
    }
   ],
   "source": [
    "print(f\"obj.has_hair: {obj.has_hair}\")"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Walking\n"
     ]
    }
   ],
   "source": [
    "obj.walk()"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Running\n"
     ]
    }
   ],
   "source": [
    "obj.run()"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Thinking\n"
     ]
    }
   ],
   "source": [
    "obj.think()"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "## 属性和方法"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%% md\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "outputs": [],
   "source": [
    "class MatrixFactory:  # 1\n",
    "    name = \"Matrix\"  # 2\n",
    "\n",
    "    def echo(self):  # 3\n",
    "        print(\"Welcome to the Matrix\")\n",
    "\n",
    "\n",
    "matrix = MatrixFactory()  # 4"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Matrix\n"
     ]
    }
   ],
   "source": [
    "print(matrix.name)  # 5"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Welcome to the Matrix\n"
     ]
    }
   ],
   "source": [
    "matrix.echo()  # 6"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "## 构造"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%% md\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "outputs": [],
   "source": [
    "class Nation:  # 1\n",
    "    def __init__(self, name=None):  # 2\n",
    "        if not name:\n",
    "            self.name = \"China\"\n",
    "        else:\n",
    "            self.name = name\n"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "China\n"
     ]
    }
   ],
   "source": [
    "china = Nation()  # 3\n",
    "print(china.name)  # 4"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "USA\n"
     ]
    }
   ],
   "source": [
    "usa = Nation(name=\"USA\")  # 5\n",
    "print(usa.name)  # 6"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "robot address: 140602200206592\n",
      "self address: 140602200206592\n"
     ]
    }
   ],
   "source": [
    "\n",
    "class Robot:  # 1\n",
    "    def show_self(self):  # 2\n",
    "        print(f\"self address: {id(self)}\")\n",
    "\n",
    "\n",
    "robot = Robot()  # 3\n",
    "print(f\"robot address: {id(robot)}\")  # 4\n",
    "robot.show_self()  # 5\n"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "outputs": [],
   "source": [
    "# error example\n",
    "\n",
    "# class Error:  # 1\n",
    "#     def raise_error():  # 2\n",
    "#         print(\"error\")\n",
    "#\n",
    "#\n",
    "# err = Error()  # 3\n",
    "# err.raise_error()  # 4"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "error\n"
     ]
    }
   ],
   "source": [
    "class Error:\n",
    "    def raise_error(err):  # 1\n",
    "        print(\"error\")\n",
    "\n",
    "\n",
    "err = Error()\n",
    "err.raise_error()"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  }
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