Python程序代写，优质原创代码，本地无Bug运行

Python是完全面向对象的编程语言，函数、模块、数字、字符串等内置类型都是对象。并且Python特有的简洁的语法和类型使得OOP十分易于使用。Python既支持面向对象编程，也支持面向过程编程的模式，但这也决定了它本身的难度以及对学习人员的要求很高。

Python代写价格一般是多少？

由于作业类型多样，包括python程序代写、java代码代做等等，通常情况下，由于大部分都是代码的编写，所以上述作业都没有具体的字数限制，也很难对字数进行评估，所以没有统一的代写价格。一般来说，都需要查看作业要求之后，再给客户报价格。需要提前知晓的是，代写的价格与作业难度和截止日期密切相关，而且编程类的作业一般难度较高，所以价格也会偏高，有的可能要花费很长时间，所以我们也应该理解价格浮动的问题。

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{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "python 作业.ipynb",
      "provenance": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "pG1EV0PH0TnC"
      },
      "outputs": [],
      "source": [
        ""
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "https://developers.google.com/optimization/bin/knapsack\n",
        "参考这个链接里的方法。做一个solver解决下面这个模版问题。也可参考其他解决办法。\n",
        "（模版问题计算量很少，只是参考。所做的solver要能满足大的计算量）"
      ],
      "metadata": {
        "id": "wpMrn9R60Ypz"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "模版问题：\n",
        "My mother in law has a cabinet, the heigth of which is 77 cm.\n",
        "She can buy as many drawers of length 39 cm, 26 cm, 13 cm, and 17 cm as she needs.\n",
        "She want to know how many drawers of each size she can use, given that she can tolerate a leeway of 2 cm of unused space.\n",
        "In order to parse the answer, my mother in law needs to see:\n",
        "one combination per line, within a combination, the drawers must be sorted in ascending order of height, the drawer heights must be separated by a comma, the order of combinations does not matter So, for example, given that the input is:\n",
        "Total height: 77 Available drawers: 39, 26, 13, 17 Leeway: 2 the answer would be: 17,17,17,26 13,13,17,17,17\n",
        "If the leeway had been 5, the answer would have been: 17,17,39 13,17,17,26 17,17,17,26 13,13,13,17,17 13,13,17,17,17"
      ],
      "metadata": {
        "id": "SBHKceed0brM"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "简单解决办法 参考："
      ],
      "metadata": {
        "id": "CSFRzax_0gGl"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "total_height = 77\n",
        "available_drawers = [39, 26, 13, 17]\n",
        "leeway = 2\n",
        "\n",
        "import itertools\n",
        "i = 0\n",
        "while i*min(available_drawers) <= total_height:\n",
        "  i += 1\n",
        "  for c in itertools.combinations_with_replacement(available_drawers, i):\n",
        "    if total_height - leeway <= sum(c) <= total_height:\n",
        "      print(\",\".join(map(str, sorted(c))))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "g2yISZpe0jC4",
        "outputId": "898a54ec-8afe-490e-ec7b-ff3943e0b9eb"
      },
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "17,17,17,26\n",
            "13,13,17,17,17\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        ""
      ],
      "metadata": {
        "id": "X4Ef9l2I0r0S"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}

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