二叉树链.ipynb

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  "metadata": {
    "colab": {
      "provenance": [],
      "authorship_tag": "ABX9TyOI0Jg5Kb+rN3p32pYKhOZk",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
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    "language_info": {
      "name": "python"
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  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/zzqnot996/Data-structures-and-algorithms-python/blob/main/%E4%BA%8C%E5%8F%89%E6%A0%91%E9%93%BE.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
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      ],
      "metadata": {
        "id": "GS9mkOaUiSp1"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
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)"
      ],
      "metadata": {
        "id": "uZTAi16bq-Z0"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "class BiTreeNode:\n",
        "  def __init__(self,data):\n",
        "\n",
        "   self. data = data\n",
        "   self.lchild = None\n",
        "  #左孩子\n",
        "   self.rchild =None#右孩子\n",
        "\n",
        "a = BiTreeNode(\"A\")\n",
        "b = BiTreeNode(\"B\")\n",
        "c = BiTreeNode(\"C\")\n",
        "d = BiTreeNode(\"D\")\n",
        "e = BiTreeNode(\"E\")\n",
        "f = BiTreeNode(\"F\")\n",
        "g = BiTreeNode(\"G\")\n",
        "\n",
        "e.lchild = a\n",
        "e.rchild = g\n",
        "a.rchild = c\n",
        "c.lchild = b\n",
        "c.rchild = d\n",
        "g.rchild = f\n",
        "\n",
        "root = e\n",
        "\n",
        "def pre_order(root):\n",
        " if root:\n",
        "  print(root .data, end=\",\")\n",
        "  pre_order(root.lchild)\n",
        "  pre_order(root.rchild)\n",
        "\n",
        "def in_order (root):\n",
        " if root:\n",
        "  in_order(root.lchild)\n",
        "  print (root.data, end=',')\n",
        "  in_order(root.rchild)\n",
        "\n",
        "def post_order(root):\n",
        " if root:\n",
        "  post_order(root.lchild)\n",
        "  post_order(root.rchild)\n",
        "  print (root .data, end=',')\n",
        "\n",
        "in_order(root)\n",
        "pre_order(root)\n",
        "post_order(root)\n",
        "# print(root.lchild.rchild.data)\n",
        "\n",
        "\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "c6P2hXkcigve",
        "outputId": "e19b11c6-cd52-477c-fa4b-2cdf311fe1ea"
      },
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "A,B,C,D,E,G,F,E,A,C,B,D,G,F,B,D,C,A,F,G,E,"
          ]
        }
      ]
    }
  ]
}