[py_elementary]basics.ipynb

-py_elementary-basics.ipynb

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  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/gist/aalexren/aa79fe2bd0b4403b3c2dc771362159b0/-py_elementary-basics.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Базовые принципы"
      ],
      "metadata": {
        "id": "7iwpHF1Ym1my"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Модель данных. Объекты"
      ],
      "metadata": {
        "id": "J0rMIvOFt5Ep"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "В `pythnon` у каждого объекта есть свой уникальный `id` являющийся целым числом. Всё является объектом, в своё время они бывают  `immutable` (неизменяемые) и `mutable` (изменяемые).  \n",
        "\n",
        "К неизменяемым относятся:\n",
        "\n",
        "\n",
        "1.   int\n",
        "2.   float\n",
        "3.   string\n",
        "4.   tuple\n",
        "5.   bool\n",
        "6.   complex\n",
        "7.   остальные...\n",
        "\n",
        "К изменяемым же относятся: `list, dict, set`. Суть в том, что мы не можем поменять состояние этих объектов, а, например, в список мы можем добавить элемент."
      ],
      "metadata": {
        "id": "EoznUhVDsW06"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Важный момент\n",
        "1 == True"
      ],
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        "id": "MwRzdohst3km",
        "outputId": "30e45acf-9223-4612-c534-136f091a892c"
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      "execution_count": null,
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        {
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          "data": {
            "text/plain": [
              "True"
            ]
          },
          "metadata": {},
          "execution_count": 1
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Но в то же время\n",
        "1 is True"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "-ntSxfYSwT2d",
        "outputId": "3a16d072-be18-48e3-d3fc-9a6710f2b4cd"
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          "data": {
            "text/plain": [
              "False"
            ]
          },
          "metadata": {},
          "execution_count": 3
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      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Однако\n",
        "set([1, True])"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Y2DSy7IpwZqR",
        "outputId": "20ed1dac-aba4-419c-d35a-7e104ea6e054"
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      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{1}"
            ]
          },
          "metadata": {},
          "execution_count": 4
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Почему в *set* `1` и `True` ссылаются на один и тот же объект, хотя `1 is True` даёт `False`?\n",
        "\n",
        "---\n",
        "\n",
        "Ответ кроется в том, как устроен *set* в pyton. Дело в том, что он использует для проверки hash-функцию, для которой выполнено равенство `hash(1) == hash(True)`. **Однако сопоставление единице истины и нулю лжи устарело и более в python не используется (но объект `True` является наследником класса `int`)!**"
      ],
      "metadata": {
        "id": "bDwjBIk4wfzs"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Забавно так же и следующее\n",
        "a = [[1, 2], 3]\n",
        "\n",
        "b = a.copy()\n",
        "print(b) # [[1, 2], 3]\n",
        "\n",
        "a[0][0] = 5\n",
        "a[1] = 6\n",
        "print(b) # [[5, 2], 3]\n",
        "\n",
        "a[0][0] = 1\n",
        "a[1] = 3\n",
        "b = a[:]\n",
        "a[0][0] = 5\n",
        "print(b) # [[5, 2], 3]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "UPJIXC-Y4XAl",
        "outputId": "2fb6466c-236b-40b4-abf2-d38c01af53b6"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[[1, 2], 3]\n",
            "[[5, 2], 3]\n",
            "[[5, 2], 3]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Т.е. фактически `[:]` является просто `shortcut` (ярлык) для функции `copy`, которая НЕрекурсивно копирует объект. Если бы мы хотели действительно скопировать весь объект мы бы использовали `deepcopy` модуля `copy`."
      ],
      "metadata": {
        "id": "ihoyhCj140Hs"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Функции и стек вызовов"
      ],
      "metadata": {
        "id": "gRnkC-k_MRxn"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "Функции в python должны работать так, чтобы после их выполнения можно было восстановить шаг, на котором произошёл вызвать, чтобы продолжить выполнение программы. Для этого существует стек, в который кладут функции, которые вызваются и удаляются, когда они возвращают управление."
      ],
      "metadata": {
        "id": "90aiJnNfMVxh"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Примеры вызова функций\n",
        "def printab(a, b):\n",
        "    print(a)\n",
        "    print(b)\n",
        "\n",
        "printab(10, 20)\n",
        "printab(a=10, b=20)\n",
        "printab(10, b=20) # сначала всегда позиционный, только потом непозиционные аргументы\n",
        "\n",
        "lst = [10, 20]\n",
        "printab(*lst) # = printab(lst[0], lst[1])\n",
        "\n",
        "args = {'a': 10, 'b': 20}\n",
        "printab(**args) # = printab(key1=args[key1], key2=args[key2])\n"
      ],
      "metadata": {
        "colab": {
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        "id": "eZWnpT_bRS0Z",
        "outputId": "9f8c6567-2646-4c65-d473-1ed12d17b1ec"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "10\n",
            "20\n",
            "10\n",
            "20\n",
            "10\n",
            "20\n",
            "10\n",
            "20\n",
            "10\n",
            "20\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Конечно, мы можем указывать значения аргументов по умолчанию. Однако, есть правило, согласно которому после заданных аргументов со значениями по умолчанию не могут следовать аргументы без значений по умолчанию."
      ],
      "metadata": {
        "id": "31Bkz_r9SoEj"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Ошибка\n",
        "def printab(a=10, b):\n",
        "    print(a)\n",
        "    print(b)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 131
        },
        "id": "MwrYavZ5S2P9",
        "outputId": "3a4d11ff-09e0-46f8-ba57-05df755c246f"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "error",
          "ename": "SyntaxError",
          "evalue": "ignored",
          "traceback": [
            "\u001b[0;36m  File \u001b[0;32m\"<ipython-input-2-5005e27d4071>\"\u001b[0;36m, line \u001b[0;32m1\u001b[0m\n\u001b[0;31m    def printab(a=10, b):\u001b[0m\n\u001b[0m               ^\u001b[0m\n\u001b[0;31mSyntaxError\u001b[0m\u001b[0;31m:\u001b[0m non-default argument follows default argument\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Чтобы получать и работать с неопределённым числом аргументов используется `*`."
      ],
      "metadata": {
        "id": "cTe_ktFMTwuG"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "def printab(a, b, *args): # здесь * наоборот, сворачивает все оставшиеся аргументы в кортеж\n",
        "    print(a)\n",
        "    print(b)\n",
        "    for arg in args:\n",
        "        print(arg)\n",
        "\n",
        "lst = [i*10 for i in range(1, 6)]\n",
        "printab(*lst) # здесь * разворачивает наш список"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "e1FdSOdgT1vR",
        "outputId": "fbdc8516-a2e0-4f4d-d762-9f21198d4959"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "10\n",
            "20\n",
            "30\n",
            "40\n",
            "50\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Немного про порядок следования аргументов и их передачи"
      ],
      "metadata": {
        "id": "dxAR1iOXZEOY"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "def s(a, *vs, b=10):\n",
        "    res = a + b\n",
        "    for v in vs:\n",
        "        res += v\n",
        "    return res\n",
        "\n",
        "# 41 – т.к. не был передан аргумент b, в связи с чем 31 это один из элементов кортежа vs\n",
        "s(0, 0, 31) \n",
        "\n",
        "# 41 аналогично\n",
        "s(11, 10, 10)\n",
        "\n",
        "# SyntaxError: positional argument follows keyword argument\n",
        "# s(b=31, 0) \n",
        "\n",
        "# 31 – vs = ()\n",
        "s(21) \n",
        "\n",
        "# 31 – a = 11, vs = (10,)\n",
        "s(11, 10) \n",
        "\n",
        "# 31 – a = 5, vs = (5, 5, 5, 1,), b = 10\n",
        "s(5, 5, 5, 5, 1) \n",
        "\n",
        "# 31 – vs = ()\n",
        "s(11, b=20) \n",
        "\n",
        "# 31 – a = 11, vs = (10, ), b = 10\n",
        "s(11, 10, b=10) \n",
        "\n",
        "# TypeError: s() missing 1 required positional argument: 'a'\n",
        "# s(b=31)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Niut23OuXGZp",
        "outputId": "f88d7018-2548-44e2-da4c-de1b7114b5d1"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "31"
            ]
          },
          "metadata": {},
          "execution_count": 18
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Аргументы по умолчанию инициализируются только **один раз** в *момент компиляции байт-кода*, поэтому важно следить за такими аргументами в функциях. "
      ],
      "metadata": {
        "id": "qpX4W-cEopu0"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Множество seen инициализировалось один раз\n",
        "# и теперь используется повторно\n",
        "# из-за чего повторный вызов функции \n",
        "# выводит пустой список уникальных элементов.\n",
        "def unique(iterable, seen=set()):\n",
        "    acc = []\n",
        "    for item in iterable:\n",
        "        if item not in seen:\n",
        "            seen.add(item)\n",
        "            acc.append(item)\n",
        "    return acc\n",
        "\n",
        "xc = [1, 1, 2, 3]\n",
        "print(unique(xc)) # [1, 2, 3]\n",
        "\n",
        "print(unique(xc)) # []\n",
        "\n",
        "unique.__defaults__"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "U6C8piCto9e6",
        "outputId": "7bb783dc-70b1-435f-d030-8efd18118743"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[1, 2, 3]\n",
            "[]\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "({1, 2, 3},)"
            ]
          },
          "metadata": {},
          "execution_count": 20
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Правильный способ инициализации\n",
        "def unique(iterable, seen=None):\n",
        "    seen = set(seen or []) # None --- falsy value; если первый аргумент False, or вернёт второй\n",
        "    acc = []\n",
        "    for item in iterable:\n",
        "        if item not in seen:\n",
        "            seen.add(item)\n",
        "            acc.append(item)\n",
        "    return acc\n",
        "\n",
        "xc = [1, 1, 2, 3]\n",
        "print(unique(xc)) # [1, 2, 3]\n",
        "\n",
        "print(unique(xc)) # [1, 2, 3]\n",
        "\n",
        "unique.__defaults__"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "2Tc1vZG6qMIg",
        "outputId": "38f6c605-49ac-4c91-b457-e9c888a74e4a"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[1, 2, 3]\n",
            "[1, 2, 3]\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(None,)"
            ]
          },
          "metadata": {},
          "execution_count": 22
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Распаковка и присваивание\n",
        "\n",
        "В качестве правого аргумента можно использовать любой аргумент, поддерживающий протокол итератора."
      ],
      "metadata": {
        "id": "vjleRjemgBLQ"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "acc = []\n",
        "seen = set()\n",
        "(acc, seen) = ([], set()) # equivalent\n",
        "\n",
        "x, y, z = [1, 2, 3]\n",
        "x, y, z = {3, 1, 2} # unordered => x = 1, y = 2, z = 3\n",
        "x, y, z = \"xyz\"\n",
        "\n",
        "# если опустим скобки, то работать не будет, т.к. справа ожидается последовательность из 4-х элементов;\n",
        "# распаковка работает рекурсивно.\n",
        "rec = (0, 0), (4, 4)\n",
        "(x0, y0), (x1, y1) = rec # скобки опускают, но иногда они бывают полезны"
      ],
      "metadata": {
        "id": "_7wUs9aRgD9i"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Область видимости\n",
        "\n",
        "Есть правило LEGB, согласно которому поиск сначала осуществляется в локальной области видимости, затем в окружающей (enclosing), после в global и, наконец, во встроенной."
      ],
      "metadata": {
        "id": "6l355e8ilvK2"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "min             # builtin\n",
        "# <built-in function min>\n",
        "\n",
        "min = 42        # global\n",
        "def f(*args):\n",
        "    min = 2\n",
        "    def g():    # enclosing\n",
        "        min = 4 # local\n",
        "        print(min)"
      ],
      "metadata": {
        "id": "0onA73OjmCJi"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "***Enclosing scopes, порядок выполнения:***"
      ],
      "metadata": {
        "id": "qFzjdbXySaFV"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "def f():\n",
        "    x = 1\n",
        "    def a():\n",
        "        x = 2\n",
        "        def b():\n",
        "            x = 3\n",
        "            def c():\n",
        "                print(x)\n",
        "            c()    \n",
        "        b()\n",
        "    a()\n",
        "f()\n",
        "\n",
        "# На экран будет выведено число 3"
      ],
      "metadata": {
        "id": "lbjosM1lScKI",
        "outputId": "6c0700e0-acad-46d3-bf6f-4d3c3e1fc116",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "3\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "> namespace - это группа, в которой все имена уникальны. В python такие пространства могут образовывать дерево с корнем global namespace. А область видимости (переменной, функции и т.д.) - это способ определить границы таких групп, то есть это часть программы, в которой мы можем обратиться к конкретной переменной.\n",
        "\n"
      ],
      "metadata": {
        "id": "2jg0gIlnTDrz"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "Оператор nonlocal позволяет модифицировать значение переменной из объемлющей области видимости. [https://peps.python.org/pep-3104/](https://peps.python.org/pep-3104/)"
      ],
      "metadata": {
        "id": "WeacUPKCpXJc"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "def cell(value=None):\n",
        "    def get():\n",
        "        return value\n",
        "    def set(update):\n",
        "        nonlocal value\n",
        "        value = update\n",
        "    return get, set\n",
        "\n",
        "get, set = cell()\n",
        "set(42)\n",
        "get()"
      ],
      "metadata": {
        "id": "nCbb6aCCpeB7",
        "outputId": "e504f256-9a9a-48d1-9d76-a4923b1c6bc7",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "42"
            ]
          },
          "metadata": {},
          "execution_count": 2
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Анонимные функции и элементы функционального программирования"
      ],
      "metadata": {
        "id": "Jt0dmRG3r_vg"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "list(map(lambda x, n: x ** n, [2, 3], range(1, 8)))\n",
        "# map выбирает наименьшую по длине последовательность для обработки из аргументов"
      ],
      "metadata": {
        "id": "BxBHi0aIsEZJ",
        "outputId": "14a17e6c-1722-407b-a261-de2c6ebbb053",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[2, 9]"
            ]
          },
          "metadata": {},
          "execution_count": 3
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Классы"
      ],
      "metadata": {
        "id": "NLDWHeFemxLv"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "class Counter:\n",
        "    \"I'm a counter class\"\n",
        "    def __init__(self, initial=0):\n",
        "        self.value = initial\n",
        "    \n",
        "    def increment(self):\n",
        "        self.value += 1\n",
        "    \n",
        "    # вместо self можно поставить любое название,\n",
        "    # однако принято писать self\n",
        "    def get(self):\n",
        "        return self.value\n",
        "\n",
        "c = Counter(42)\n",
        "c.increment()\n",
        "c.get()"
      ],
      "metadata": {
        "id": "MvbMdkAbmzQk",
        "outputId": "f6d30a4d-d1ed-4f32-9036-1fb185c8ade5",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "43"
            ]
          },
          "metadata": {},
          "execution_count": 3
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Можно создавать ***атрибуты*** класса непосредственно во время исполнения"
      ],
      "metadata": {
        "id": "BGIpRsX4JJ5Q"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "class Counter:\n",
        "    pass\n",
        "\n",
        "x = Counter()\n",
        "x.count = 0\n",
        "x.count += 1\n",
        "\n",
        "print(x.count)"
      ],
      "metadata": {
        "id": "NTtHRxXNJCfl",
        "outputId": "f43f8e2b-5893-4790-c3cf-97ae6df1725b",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "1\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "А ещё если в области видимости нет нужного атрибута для `self`, то он будет искать его у атрибута класса. В данном случае, хоть мы и не объявили `self`.`val`, метод `bar` всё равно верно почитает значаение и `a.val` будет равен 2.\n",
        "\n",
        "P.S. Методы у объекта называются ***Bound Methods***, потому как объект класса знает где будет лежать эта функция в классе, экземпляром которого он является. `x.bar()` эквивалентно вызову `A.bar(x)`."
      ],
      "metadata": {
        "id": "CN-a49M-YUaV"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "class A:\n",
        "    val = 1\n",
        "\n",
        "    def foo(self):\n",
        "        A.val += 2\n",
        "\n",
        "    def bar(self):\n",
        "        self.val += 1\n",
        "\n",
        "\n",
        "a = A()\n",
        "b = A()\n",
        "\n",
        "a.bar()\n",
        "a.foo()\n",
        "\n",
        "c = A()\n",
        "\n",
        "print(a.val)\n",
        "print(b.val)\n",
        "print(c.val)"
      ],
      "metadata": {
        "id": "N22bl6BjH3RG",
        "outputId": "e575fa4e-3424-4950-ef59-e6098f07ff06",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "2\n",
            "3\n",
            "3\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Порядок следования классов при наследовании и методов, которые будут вызваны можно посмотреть с помощью метода `mro`"
      ],
      "metadata": {
        "id": "_UanOcCYXjFy"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "class E:\n",
        "    pass\n",
        "\n",
        "class D:\n",
        "    pass\n",
        "\n",
        "class B(D, E):\n",
        "    pass\n",
        "\n",
        "class C:\n",
        "    pass\n",
        "\n",
        "class A(B, C):\n",
        "    pass\n",
        "\n",
        "print(A.mro())"
      ],
      "metadata": {
        "id": "3XaEWAdbXq63",
        "outputId": "83229194-f7dd-475f-9fe6-ad764aefd44c",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[<class '__main__.A'>, <class '__main__.B'>, <class '__main__.D'>, <class '__main__.E'>, <class '__main__.C'>, <class 'object'>]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Наследование с одинаковыми **именами** методов"
      ],
      "metadata": {
        "id": "95r0VR-SYwH7"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "class EvenLengthMixin:\n",
        "    def even_length(self):\n",
        "        return len(self) % 2 == 0\n",
        "\n",
        "class MyList(list, EvenLengthMixin):\n",
        "    def pop(self):\n",
        "        x = super(MyList, self).pop() # всё равно что list.pop(self).\n",
        "        print(\"Last value is \", x)    # super в данном случае будет просто искать метод \n",
        "        return x                      # среди предков класса и передаст self в качестве аргумента\n",
        "\n",
        "ml = MyList([1,2,4,17])\n",
        "z = ml.pop()\n",
        "print(z)\n",
        "print(ml)"
      ],
      "metadata": {
        "id": "p0rh4fMxY0Bn",
        "outputId": "86b5fa4d-e7db-4f5e-d94e-0be6de5938f7",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Last value is  17\n",
            "17\n",
            "[1, 2, 4]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "\n",
        "\n",
        "> **and** и **or** в python возвращают на самом деле не *True* или *False*, а значение последнего вычисленного аргумента. Например, 'a' **or** 'b' вернёт 'a', а 'a' **and** 'b' вернёт 'b'.\n",
        "\n"
      ],
      "metadata": {
        "id": "Q-qEmOY-doDH"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Стандартные средства"
      ],
      "metadata": {
        "id": "94fvelWKxFmc"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Модули и импорт"
      ],
      "metadata": {
        "id": "u5eTLLgXxJgf"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "Всё импортируется последовательно, кроме того, весь код, импортированный из модуля будет выполнен, если будет такая возможность. "
      ],
      "metadata": {
        "id": "1ggbmo3XxNbO"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from sys import * # импортирует всё из модуля sys\n",
        "\n",
        "from math import fabs as abs # импортировали из модуля math функцию fabs с алиасом abs\n",
        "\n",
        "from sys import * # второй раз он не будет импортировать этот модуль, т.к. он уже импортирован"
      ],
      "metadata": {
        "id": "-2GGj5SFxZ4y"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "Если мы хотим посмотреть какие модули были импортированы, может использовать sys.modules, а sys.path покажет где мы их искали."
      ],
      "metadata": {
        "id": "JRGK4WcwxzNt"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import sys\n",
        "\n",
        "print(sys.modules)\n",
        "print(*sys.path)"
      ],
      "metadata": {
        "id": "TC2PTLNEyB7T",
        "outputId": "6925f17a-2d02-4e55-c053-cb47cbde017d",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "{'sys': <module 'sys' (built-in)>, 'builtins': <module 'builtins' (built-in)>, '_frozen_importlib': <module 'importlib._bootstrap' (frozen)>, '_imp': <module '_imp' (built-in)>, '_thread': <module '_thread' (built-in)>, '_warnings': <module '_warnings' (built-in)>, '_weakref': <module '_weakref' (built-in)>, 'zipimport': <module 'zipimport' (built-in)>, '_frozen_importlib_external': <module 'importlib._bootstrap_external' (frozen)>, '_io': <module 'io' (built-in)>, 'marshal': <module 'marshal' (built-in)>, 'posix': <module 'posix' (built-in)>, 'encodings': <module 'encodings' from '/usr/lib/python3.7/encodings/__init__.py'>, 'codecs': <module 'codecs' from '/usr/lib/python3.7/codecs.py'>, '_codecs': <module '_codecs' (built-in)>, 'encodings.aliases': <module 'encodings.aliases' from '/usr/lib/python3.7/encodings/aliases.py'>, 'encodings.utf_8': <module 'encodings.utf_8' from '/usr/lib/python3.7/encodings/utf_8.py'>, '_signal': <module '_signal' (built-in)>, '__main__': <module '__main__'>, 'encodings.latin_1': <module 'encodings.latin_1' from '/usr/lib/python3.7/encodings/latin_1.py'>, 'io': <module 'io' from '/usr/lib/python3.7/io.py'>, 'abc': <module 'abc' from '/usr/lib/python3.7/abc.py'>, '_abc': <module '_abc' (built-in)>, '_bootlocale': <module '_bootlocale' from '/usr/lib/python3.7/_bootlocale.py'>, '_locale': <module '_locale' (built-in)>, 'warnings': <module 'warnings' from '/usr/lib/python3.7/warnings.py'>, 're': <module 're' from '/usr/lib/python3.7/re.py'>, 'enum': <module 'enum' from '/usr/lib/python3.7/enum.py'>, 'types': <module 'types' from '/usr/lib/python3.7/types.py'>, '_collections': <module '_collections' (built-in)>, 'sre_compile': <module 'sre_compile' from '/usr/lib/python3.7/sre_compile.py'>, '_sre': <module '_sre' (built-in)>, 'sre_parse': <module 'sre_parse' from '/usr/lib/python3.7/sre_parse.py'>, 'sre_constants': <module 'sre_constants' from '/usr/lib/python3.7/sre_constants.py'>, 'functools': <module 'functools' from '/usr/lib/python3.7/functools.py'>, '_functools': <module '_functools' (built-in)>, 'collections': <module 'collections' from '/usr/lib/python3.7/collections/__init__.py'>, '_collections_abc': <module '_collections_abc' from '/usr/lib/python3.7/_collections_abc.py'>, 'operator': <module 'operator' from '/usr/lib/python3.7/operator.py'>, '_operator': <module '_operator' (built-in)>, 'keyword': <module 'keyword' from '/usr/lib/python3.7/keyword.py'>, 'heapq': <module 'heapq' from '/usr/lib/python3.7/heapq.py'>, '_heapq': <module '_heapq' (built-in)>, 'itertools': <module 'itertools' (built-in)>, 'reprlib': <module 'reprlib' from '/usr/lib/python3.7/reprlib.py'>, 'copyreg': <module 'copyreg' from '/usr/lib/python3.7/copyreg.py'>, 'site': <module 'site' from '/usr/lib/python3.7/site.py'>, 'os': <module 'os' from '/usr/lib/python3.7/os.py'>, 'stat': <module 'stat' from '/usr/lib/python3.7/stat.py'>, '_stat': <module '_stat' (built-in)>, 'posixpath': <module 'posixpath' from '/usr/lib/python3.7/posixpath.py'>, 'genericpath': <module 'genericpath' from '/usr/lib/python3.7/genericpath.py'>, 'os.path': <module 'posixpath' from '/usr/lib/python3.7/posixpath.py'>, '_sitebuiltins': <module '_sitebuiltins' from '/usr/lib/python3.7/_sitebuiltins.py'>, 'importlib': <module 'importlib' from '/usr/lib/python3.7/importlib/__init__.py'>, 'importlib._bootstrap': <module 'importlib._bootstrap' (frozen)>, 'importlib._bootstrap_external': <module 'importlib._bootstrap_external' (frozen)>, 'importlib.util': <module 'importlib.util' from '/usr/lib/python3.7/importlib/util.py'>, 'importlib.abc': <module 'importlib.abc' from '/usr/lib/python3.7/importlib/abc.py'>, 'importlib.machinery': <module 'importlib.machinery' from '/usr/lib/python3.7/importlib/machinery.py'>, 'contextlib': <module 'contextlib' from '/usr/lib/python3.7/contextlib.py'>, 'google': <module 'google' (namespace)>, 'google.cloud': <module 'google.cloud' (namespace)>, 'google.logging': <module 'google.logging' (namespace)>, 'mpl_toolkits': <module 'mpl_toolkits' (namespace)>, 'sphinxcontrib': <module 'sphinxcontrib' (namespace)>, 'sitecustomize': <module 'sitecustomize' from '/usr/lib/python3.7/sitecustomize.py'>, 'runpy': <module 'runpy' from '/usr/lib/python3.7/runpy.py'>, 'pkgutil': <module 'pkgutil' from '/usr/lib/python3.7/pkgutil.py'>, 'weakref': <module 'weakref' from '/usr/lib/python3.7/weakref.py'>, '_weakrefset': <module '_weakrefset' from '/usr/lib/python3.7/_weakrefset.py'>, 'ipykernel': <module 'ipykernel' from '/usr/local/lib/python3.7/dist-packages/ipykernel/__init__.py'>, 'ipykernel._version': <module 'ipykernel._version' from '/usr/local/lib/python3.7/dist-packages/ipykernel/_version.py'>, 'ipykernel.connect': <module 'ipykernel.connect' from '/usr/local/lib/python3.7/dist-packages/ipykernel/connect.py'>, '__future__': <module '__future__' from '/usr/lib/python3.7/__future__.py'>, 'json': <module 'json' from '/usr/lib/python3.7/json/__init__.py'>, 'json.decoder': <module 'json.decoder' from '/usr/lib/python3.7/json/decoder.py'>, 'json.scanner': <module 'json.scanner' from '/usr/lib/python3.7/json/scanner.py'>, '_json': <module '_json' from '/usr/lib/python3.7/lib-dynload/_json.cpython-37m-x86_64-linux-gnu.so'>, 'json.encoder': <module 'json.encoder' from '/usr/lib/python3.7/json/encoder.py'>, 'subprocess': <module 'subprocess' from '/usr/lib/python3.7/subprocess.py'>, 'time': <module 'time' (built-in)>, 'signal': <module 'signal' from '/usr/lib/python3.7/signal.py'>, 'errno': <module 'errno' (built-in)>, '_posixsubprocess': <module '_posixsubprocess' (built-in)>, 'select': <module 'select' (built-in)>, 'selectors': <module 'selectors' from '/usr/lib/python3.7/selectors.py'>, 'collections.abc': <module 'collections.abc' from '/usr/lib/python3.7/collections/abc.py'>, 'math': <module 'math' (built-in)>, 'threading': <module 'threading' from '/usr/lib/python3.7/threading.py'>, 'traceback': <module 'traceback' from '/usr/lib/python3.7/traceback.py'>, 'linecache': <module 'linecache' from '/usr/lib/python3.7/linecache.py'>, 'tokenize': <module 'tokenize' from '/usr/lib/python3.7/tokenize.py'>, 'token': <module 'token' from '/usr/lib/python3.7/token.py'>, 'IPython': <module 'IPython' from '/usr/local/lib/python3.7/dist-packages/IPython/__init__.py'>, 'IPython.core': <module 'IPython.core' from '/usr/local/lib/python3.7/dist-packages/IPython/core/__init__.py'>, 'IPython.core.getipython': <module 'IPython.core.getipython' from '/usr/local/lib/python3.7/dist-packages/IPython/core/getipython.py'>, 'IPython.core.release': <module 'IPython.core.release' from '/usr/local/lib/python3.7/dist-packages/IPython/core/release.py'>, 'IPython.core.application': <module 'IPython.core.application' from '/usr/local/lib/python3.7/dist-packages/IPython/core/application.py'>, 'atexit': <module 'atexit' (built-in)>, 'copy': <module 'copy' from '/usr/lib/python3.7/copy.py'>, 'glob': <module 'glob' from '/usr/lib/python3.7/glob.py'>, 'fnmatch': <module 'fnmatch' from '/usr/lib/python3.7/fnmatch.py'>, 'logging': <module 'logging' from '/usr/lib/python3.7/logging/__init__.py'>, 'string': <module 'string' from '/usr/lib/python3.7/string.py'>, '_string': <module '_string' (built-in)>, 'shutil': <module 'shutil' from '/usr/lib/python3.7/shutil.py'>, 'zlib': <module 'zlib' (built-in)>, 'bz2': <module 'bz2' from '/usr/lib/python3.7/bz2.py'>, '_compression': <module '_compression' from '/usr/lib/python3.7/_compression.py'>, '_bz2': <module '_bz2' from '/usr/lib/python3.7/lib-dynload/_bz2.cpython-37m-x86_64-linux-gnu.so'>, 'lzma': <module 'lzma' from '/usr/lib/python3.7/lzma.py'>, '_lzma': <module '_lzma' from '/usr/lib/python3.7/lib-dynload/_lzma.cpython-37m-x86_64-linux-gnu.so'>, 'pwd': <module 'pwd' (built-in)>, 'grp': <module 'grp' (built-in)>, 'traitlets': <module 'traitlets' from '/usr/local/lib/python3.7/dist-packages/traitlets/__init__.py'>, 'traitlets.traitlets': <module 'traitlets.traitlets' from '/usr/local/lib/python3.7/dist-packages/traitlets/traitlets.py'>, 'ast': <module 'ast' from '/usr/lib/python3.7/ast.py'>, '_ast': <module '_ast' (built-in)>, 'inspect': <module 'inspect' from '/usr/lib/python3.7/inspect.py'>, 'dis': <module 'dis' from '/usr/lib/python3.7/dis.py'>, 'opcode': <module 'opcode' from '/usr/lib/python3.7/opcode.py'>, '_opcode': <module '_opcode' from '/usr/lib/python3.7/lib-dynload/_opcode.cpython-37m-x86_64-linux-gnu.so'>, 'traitlets.utils': <module 'traitlets.utils' from '/usr/local/lib/python3.7/dist-packages/traitlets/utils/__init__.py'>, 'traitlets.utils.getargspec': <module 'traitlets.utils.getargspec' from '/usr/local/lib/python3.7/dist-packages/traitlets/utils/getargspec.py'>, 'traitlets.utils.importstring': <module 'traitlets.utils.importstring' from '/usr/local/lib/python3.7/dist-packages/traitlets/utils/importstring.py'>, 'traitlets.utils.sentinel': <module 'traitlets.utils.sentinel' from '/usr/local/lib/python3.7/dist-packages/traitlets/utils/sentinel.py'>, 'traitlets.utils.bunch': <module 'traitlets.utils.bunch' from '/usr/local/lib/python3.7/dist-packages/traitlets/utils/bunch.py'>, 'traitlets.utils.descriptions': <module 'traitlets.utils.descriptions' from '/usr/local/lib/python3.7/dist-packages/traitlets/utils/descriptions.py'>, 'traitlets.utils.decorators': <module 'traitlets.utils.decorators' from '/usr/local/lib/python3.7/dist-packages/traitlets/utils/decorators.py'>, 'traitlets._version': <module 'traitlets._version' from '/usr/local/lib/python3.7/dist-packages/traitlets/_version.py'>, 'traitlets.config': <module 'traitlets.config' from '/usr/local/lib/python3.7/dist-packages/traitlets/config/__init__.py'>, 'traitlets.config.application': <module 'traitlets.config.application' from '/usr/local/lib/python3.7/dist-packages/traitlets/config/application.py'>, 'pprint': <module 'pprint' from '/usr/lib/python3.7/pprint.py'>, 'traitlets.config.configurable': <module 'traitlets.config.configurable' from '/usr/local/lib/python3.7/dist-packages/traitlets/config/configurable.py'>, 'traitlets.config.loader': <module 'traitlets.config.loader' from '/usr/local/lib/python3.7/dist-packages/traitlets/config/loader.py'>, 'argparse': <module 'argparse' from '/usr/lib/python3.7/argparse.py'>, 'gettext': <module 'gettext' from '/usr/lib/python3.7/gettext.py'>, 'locale': <module 'locale' from '/usr/lib/python3.7/locale.py'>, 'traitlets.utils.text': <module 'traitlets.utils.text' from '/usr/local/lib/python3.7/dist-packages/traitlets/utils/text.py'>, 'textwrap': <module 'textwrap' from '/usr/lib/python3.7/textwrap.py'>, 'IPython.core.crashhandler': <module 'IPython.core.crashhandler' from '/usr/local/lib/python3.7/dist-packages/IPython/core/crashhandler.py'>, 'IPython.core.ultratb': <module 'IPython.core.ultratb' from '/usr/local/lib/python3.7/dist-packages/IPython/core/ultratb.py'>, 'pydoc': <module 'pydoc' from '/usr/lib/python3.7/pydoc.py'>, 'platform': 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'/usr/local/lib/python3.7/dist-packages/debugpy/common/timestamp.py'>, 'debugpy.common.util': <module 'debugpy.common.util' from '/usr/local/lib/python3.7/dist-packages/debugpy/common/util.py'>, 'debugpy.common.sockets': <module 'debugpy.common.sockets' from '/usr/local/lib/python3.7/dist-packages/debugpy/common/sockets.py'>, 'encodings.hex_codec': <module 'encodings.hex_codec' from '/usr/lib/python3.7/encodings/hex_codec.py'>}\n",
            "/content /env/python /usr/lib/python37.zip /usr/lib/python3.7 /usr/lib/python3.7/lib-dynload  /usr/local/lib/python3.7/dist-packages /usr/lib/python3/dist-packages /usr/local/lib/python3.7/dist-packages/IPython/extensions /root/.ipython\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Чтобы какие-то переменные и функции были недоступны для импорта у нас есть две опции: не включать их в `__all__`, или поставить `_` перед в начало имени."
      ],
      "metadata": {
        "id": "-DV8q7hKyK9w"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "_GREETINGS = 'Hello world' # при импортировании * эта переменная не будет доступна\n",
        "\n",
        "def some_func():\n",
        "    pass\n",
        "\n",
        "__all__ = ['some_func'] # будут доступны только те, что перечислены в списке"
      ],
      "metadata": {
        "id": "eyl5daSNyZjL"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "Пакеты это просто папки с наборами .py файлов в которых есть `__init__`.py файл, который и будет выполнен при импорте пакета."
      ],
      "metadata": {
        "id": "x2Oa9eNyzFJY"
      }
    }
  ]
}