Math/Probability/combin.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Комбинаторика.'"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\"\"\"Комбинаторика.\"\"\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<p><d>РАЗНОЕ ВАЖНОЕ</d></p>\n",
    "<p>Имена класса всегда пишутся зеленым цветом, функции/методы всегда пишутся желтым цветом. list - имя класса. len - метод/функция.</p>\n",
    "<p>Название класса без скобок - это ссылка на место класса в памяти компьютера</p>\n",
    "<p>Имя класса плюс круглые скобки () - это создание обьекта / экземпляр класса  list() - это обьект. </p>\n",
    "<p>ВНИМАНИЕ при создании объекта во всех классах вызывается _init_</p>\n",
    "<p>В скобках пишутся аргументы. Аргументы - это  </p>\n",
    "<p>Имплементация - реализация в коде или на ЯП (языке программирования). Это строка docstring.</p>\n",
    "<p>Знак вопроса ? - вызывает сигнатуру обьекта.</p>\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<p>**Itertools**  —  это Python-модуль, который предоставляет набор функций для работы с итерируемыми объектами.</p>\n",
    "\n",
    "<p>**Итерируемый объект**  —  это любой объект, предоставляющий возможность пройти в цикле по своим элементам, \n",
    "например список, кортеж и словарь. \n",
    "Itertools позволяет выполнять стандартные операции с итерируемыми объектами, такие как фильтрация, \n",
    "группировка и объединение. \n",
    "https://docs-python.ru/tutorial/osnovnye-vstroennye-tipy-python/tip-dannyh-iterator-iterator/ </p>\n",
    "\n",
    "<p>Итерируемый объект(iterable) это последовательность или коллекция.</p>\n",
    "<p>Итератор - это объект, который позволяет перебирать элементы коллекции по одному, \n",
    "например, списки, кортежи, строки и генераторы.</p>\n",
    "<p>Итератор - объект у которого есть два метода next iter.</p>\n",
    "<p>**Модуль Itertools** предоставляет несколько функций, позволяющих манипулировать итерируемыми объектами. \n",
    "Рассмотрим подробнее наиболее полезные функции itertools.</p>"
   ]
  },
  {
   "attachments": {
    "формулы ТВ.jpg": {
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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<p> Внедряем формулы Теории вероятности в Питон</p>\n",
    "\n",
    "![формулы ТВ.jpg](<attachment:формулы ТВ.jpg>)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# import itertools  # noqa # pylint: disable=unused-import"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "from itertools import combinations, permutations"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<p><b>permutation</b> - это  класс, встроенная инструкция в модуле \n",
    "itertools для создания обьектов, эта функция возвращает все возможные \n",
    "перестановки итерируемого объекта с уникальным расположением элементов в итераторе</p>\n",
    "<p> Синтаксис: Permutations(iterator, r)</p>\n",
    "<p> Если не указывать функции значение r, то Permutations принимает ‘r’ \n",
    "в качестве длины итератора по умолчанию, и возвращает все возможные перестановки длиной ‘r’ каждая. \n",
    "В этом случае она содержит формулу количества перестановок без повторений.</p> \n",
    "<p><b>Pn = n!</b> Сколькими способами можно переставить n объектов?</p>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "6"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Дано: яблоко / груша / банан\n",
    "# Вопрос: сколькими способами их можно переставить?\n",
    "# Формула количества перестановок Pn=n!\n",
    "# Сколькими способами можно переставить n объектов.\n",
    "\n",
    "perm = permutations([\"яблоко\", \"груша\", \"банан\"])\n",
    "len(list(perm))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "6 24 120\n"
     ]
    }
   ],
   "source": [
    "# Сколькими способами можно переставить буквы в слове?\n",
    "\n",
    "wrd_1 = \"Май\"\n",
    "wrd_2 = \"Июнь\"\n",
    "wrd_3 = \"Осень\"\n",
    "\n",
    "# Формула количества перестановок Pn=n!\n",
    "# Сколькими способами можно переставить n объектов.\n",
    "\n",
    "perm_1 = permutations(wrd_1)\n",
    "perm_2 = permutations(wrd_2)\n",
    "perm_3 = permutations(wrd_3)\n",
    "print(len(list(perm_1)), len(list(perm_2)), len(list(perm_3)))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<p>Если указать функции значение r, то Permutations принимает ее как необходимую длину перестановки. \n",
    "В этом случае она содержит формулу количества размещений. \n",
    "Сколькими спопосбами можно выбрать m объектов из n объектов и в каждой выборке переставить их местами.</p>\n",
    "<p>Синтаксис : itertools.<d>combination(iterable, r)</d></p> \n",
    "<p>Где r - длина выходных кортежей.</p> \n",
    "<p>Эта функция возвращает подпоследовательности (кортежи) длины r из входной итерации.</p> \n",
    "<p>Она принимает список объектов и длину выходных кортежей (r) в качестве входных данных.</p> \n",
    "<p>Это фактически формула количества сочетаний: сколькими способами можно выбрать m объектов из n объектов.</p> "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "60 10\n"
     ]
    }
   ],
   "source": [
    "# Сколько трехзначных чисел можно составить из цифр 1,2,3,4,5?\n",
    "\n",
    "lst_1 = [1, 2, 3, 4, 5]\n",
    "\n",
    "# Сколько трехзначных чисел. состоящих из различных цифр,\n",
    "# можно составить из цифр 1,2,3,4,5?\n",
    "\n",
    "lst_2 = [1, 2, 3, 4, 5]\n",
    "\n",
    "# Формула количества размещений.\n",
    "# Сколькими способами можно выбрать m объектов из n объектов\n",
    "# и в каждой выборке переставить их местами.\n",
    "\n",
    "task_1 = permutations(lst_1, r=3)\n",
    "task_2 = combinations(lst_2, r=3)\n",
    "print(len(list(task_1)), len(list(task_2)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "3 3 1\n"
     ]
    }
   ],
   "source": [
    "# Сколькими способами можно выбрать\n",
    "# а) один фрукт,\n",
    "# b) два фрукта,\n",
    "# c) три фрукта,\n",
    "# d) хотя бы один фрукт.\n",
    "\n",
    "frt: list[str] = [\"яблоко\", \"груша\", \"банан\"]\n",
    "task_a = combinations(frt, 1)\n",
    "task_b = combinations(frt, 2)\n",
    "task_c = combinations(frt, 3)\n",
    "\n",
    "print(len(list(task_a)), len(list(task_b)), len(list(task_c)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1365"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# В ящике находится 15 деталей. Сколькими способами\n",
    "# можно взять 4 детали.\n",
    "\n",
    "dtl = list(range(1, 16))\n",
    "choice_2 = combinations(dtl, 4)\n",
    "len(list(choice_2))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "7140"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Сколькими способами из колоды в 36 карт\n",
    "# можно выбрать 3 карты?\n",
    "\n",
    "pack = list(range(1, 37))\n",
    "choice = combinations(pack, 3)\n",
    "len(list(choice))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "# В шахматном турнире участвует человек и каждый\n",
    "# с ним играет по одной партии.\n",
    "# Сколько всего партий сыгранов турнире?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "24 4\n"
     ]
    }
   ],
   "source": [
    "# Записать все возможные сочетания и все возможные размещения\n",
    "# из 4 элементов множества D = {a, b, c, d} по три элемента.\n",
    "\n",
    "quantity_d = [\"a\", \"b\", \"c\", \"d\"]\n",
    "perm = permutations(quantity_d, 3)\n",
    "comb = combinations(quantity_d, 3)\n",
    "print(len(list(perm)), len(list(comb)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Боря, Дима и Володя сели играть в \"очко\".\n",
    "# Сколькими способами им можно сдать по одной карте\n",
    "# если колода содержит 36 карт?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "42840"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Боря, Дима и Володя сели играть в \"очко\".\n",
    "# Сколькими способами им можно сдать по три карты\n",
    "# если колода содержит 36 карт?\n",
    "\n",
    "game = list(range(1, 37))\n",
    "possib = permutations(game, r=3)\n",
    "len(list(possib))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "506"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# В студенческой группе 23 человека. Сколькими способами\n",
    "# можно выбрать старосту и его заместителя?\n",
    "group = list(range(1, 24))\n",
    "choice_1 = permutations(group, 2)\n",
    "len(list(choice_1))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<p>Итератор - это объект, который может перебирать элементы с помощью метода _next_().</p>\n",
    "<p>Метод это функция внутри класса.</p>\n",
    "<p>Метод плюс круглые скобки это вызов метода.</p>\n",
    "<p>Все что вызывает через точку с круглыми скобочками- это метод объекта.</p>\n",
    "<p>Имя класса плюс круглые скобки это создание объекта.</p>\n",
    "<p>Если заходишь в метод и видишь название класс  - это метод.</p>\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['__class__',\n",
       " '__delattr__',\n",
       " '__dir__',\n",
       " '__doc__',\n",
       " '__eq__',\n",
       " '__format__',\n",
       " '__ge__',\n",
       " '__getattribute__',\n",
       " '__getstate__',\n",
       " '__gt__',\n",
       " '__hash__',\n",
       " '__init__',\n",
       " '__init_subclass__',\n",
       " '__iter__',\n",
       " '__le__',\n",
       " '__lt__',\n",
       " '__ne__',\n",
       " '__new__',\n",
       " '__next__',\n",
       " '__reduce__',\n",
       " '__reduce_ex__',\n",
       " '__repr__',\n",
       " '__setattr__',\n",
       " '__setstate__',\n",
       " '__sizeof__',\n",
       " '__str__',\n",
       " '__subclasshook__']"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# argument 'iterable' - iterable - итерируемая последовательность,\n",
    "# iterable  (optional) - an object that could be\n",
    "# a sequence (string (https://www.programiz.com/python-programming/string),\n",
    "# tuples (https://www.programiz.com/python-programming/tuple))\n",
    "# or collection (set (https://www.programiz.com/python-programming/set),\n",
    "# dictionary (https://www.programiz.com/python-programming/dictionary))\n",
    "# or any iterator (https://www.programiz.com/python-programming/iterator)\n",
    "# object\n",
    "\n",
    "dir(type(permutations({1, 2})))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<p>Класс list() предназначен для преобразования итератора в список.</p>\n",
    "<p> Итератор - это объект, который позволяет перебирать элементы коллекции по одному, например, списки, кортежи, строки и генераторы.</p>\n",
    "\n",
    "<p>https://www.w3schools.com/python/python_iterators.asp</p>\n",
    "\n",
    "The list() constructor takes a single argument:\n",
    "\n",
    "iterable (optional) - an object that could be \n",
    "a sequence (string (https://www.programiz.com/python-programming/string), \n",
    "tuples (https://www.programiz.com/python-programming/tuple)) \n",
    "or collection (set (https://www.programiz.com/python-programming/set), \n",
    "dictionary (https://www.programiz.com/python-programming/dictionary)) \n",
    "or any iterator (https://www.programiz.com/python-programming/iterator) object"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('яблоко', 'груша', 'банан'),\n",
       " ('яблоко', 'банан', 'груша'),\n",
       " ('груша', 'яблоко', 'банан'),\n",
       " ('груша', 'банан', 'яблоко'),\n",
       " ('банан', 'яблоко', 'груша'),\n",
       " ('банан', 'груша', 'яблоко')]"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "perm = permutations([\"яблоко\", \"груша\", \"банан\"])\n",
    "list(perm)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<p> В Python ВСЕ является объектами!!!</p>\n",
    "<p><b> ПРАВИЛА РАБОТЫ С ОБЪЕКТАМИ</b></p>\n",
    "<p>1. type</p>\n",
    "<p>2. dir - method of object/click on class name</p>\n",
    "<p>3. call method with ?</p>\n",
    "<p>4. method ()</p>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "itertools.permutations"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "perm = permutations([\"яблоко\", \"груша\", \"банан\"])\n",
    "type(perm)  # type возвращает тип данных объекта в даном случае\n",
    "# мы столкнулись с исключением правил"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'0x7ffb40dc7310'"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hex(id(int))  # id - это hex - это"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[1;31mType:\u001b[0m        permutations\n",
      "\u001b[1;31mString form:\u001b[0m <itertools.permutations object at 0x00000229FCE31C10>\n",
      "\u001b[1;31mDocstring:\u001b[0m  \n",
      "Return successive r-length permutations of elements in the iterable.\n",
      "\n",
      "permutations(range(3), 2) --> (0,1), (0,2), (1,0), (1,2), (2,0), (2,1)"
     ]
    }
   ],
   "source": [
    "perm?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['__abs__',\n",
       " '__add__',\n",
       " '__and__',\n",
       " '__bool__',\n",
       " '__ceil__',\n",
       " '__class__',\n",
       " '__delattr__',\n",
       " '__dir__',\n",
       " '__divmod__',\n",
       " '__doc__',\n",
       " '__eq__',\n",
       " '__float__',\n",
       " '__floor__',\n",
       " '__floordiv__',\n",
       " '__format__',\n",
       " '__ge__',\n",
       " '__getattribute__',\n",
       " '__getnewargs__',\n",
       " '__getstate__',\n",
       " '__gt__',\n",
       " '__hash__',\n",
       " '__index__',\n",
       " '__init__',\n",
       " '__init_subclass__',\n",
       " '__int__',\n",
       " '__invert__',\n",
       " '__le__',\n",
       " '__lshift__',\n",
       " '__lt__',\n",
       " '__mod__',\n",
       " '__mul__',\n",
       " '__ne__',\n",
       " '__neg__',\n",
       " '__new__',\n",
       " '__or__',\n",
       " '__pos__',\n",
       " '__pow__',\n",
       " '__radd__',\n",
       " '__rand__',\n",
       " '__rdivmod__',\n",
       " '__reduce__',\n",
       " '__reduce_ex__',\n",
       " '__repr__',\n",
       " '__rfloordiv__',\n",
       " '__rlshift__',\n",
       " '__rmod__',\n",
       " '__rmul__',\n",
       " '__ror__',\n",
       " '__round__',\n",
       " '__rpow__',\n",
       " '__rrshift__',\n",
       " '__rshift__',\n",
       " '__rsub__',\n",
       " '__rtruediv__',\n",
       " '__rxor__',\n",
       " '__setattr__',\n",
       " '__sizeof__',\n",
       " '__str__',\n",
       " '__sub__',\n",
       " '__subclasshook__',\n",
       " '__truediv__',\n",
       " '__trunc__',\n",
       " '__xor__',\n",
       " 'as_integer_ratio',\n",
       " 'bit_count',\n",
       " 'bit_length',\n",
       " 'conjugate',\n",
       " 'denominator',\n",
       " 'from_bytes',\n",
       " 'imag',\n",
       " 'numerator',\n",
       " 'real',\n",
       " 'to_bytes']"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dir(int)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['__class__',\n",
       " '__delattr__',\n",
       " '__dir__',\n",
       " '__doc__',\n",
       " '__eq__',\n",
       " '__format__',\n",
       " '__ge__',\n",
       " '__getattribute__',\n",
       " '__getstate__',\n",
       " '__gt__',\n",
       " '__hash__',\n",
       " '__init__',\n",
       " '__init_subclass__',\n",
       " '__iter__',\n",
       " '__le__',\n",
       " '__lt__',\n",
       " '__ne__',\n",
       " '__new__',\n",
       " '__next__',\n",
       " '__reduce__',\n",
       " '__reduce_ex__',\n",
       " '__repr__',\n",
       " '__setattr__',\n",
       " '__setstate__',\n",
       " '__sizeof__',\n",
       " '__str__',\n",
       " '__subclasshook__']"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "perm = permutations([\"яблоко\", \"груша\", \"банан\"])\n",
    "dir(perm)  # если dir дает метод _next_ значит нам возвращается итератор"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[1;31mDocstring:\u001b[0m\n",
      "next(iterator[, default])\n",
      "\n",
      "Return the next item from the iterator. If default is given and the iterator\n",
      "is exhausted, it is returned instead of raising StopIteration.\n",
      "\u001b[1;31mType:\u001b[0m      builtin_function_or_method"
     ]
    }
   ],
   "source": [
    "perm = permutations([\"яблоко\", \"груша\", \"банан\"])\n",
    "next?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('яблоко', 'груша', 'банан')\n",
      "('яблоко', 'банан', 'груша')\n",
      "('груша', 'яблоко', 'банан')\n",
      "('груша', 'банан', 'яблоко')\n",
      "('банан', 'яблоко', 'груша')\n",
      "('банан', 'груша', 'яблоко')\n"
     ]
    }
   ],
   "source": [
    "perm = permutations([\"яблоко\", \"груша\", \"банан\"])\n",
    "print(next(perm))\n",
    "print(next(perm))\n",
    "print(next(perm))\n",
    "print(next(perm))\n",
    "print(next(perm))\n",
    "print(next(perm))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[1;31mSignature:\u001b[0m      \u001b[0mperm\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m__next__\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mCall signature:\u001b[0m \u001b[0mperm\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m__next__\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m*\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mType:\u001b[0m           method-wrapper\n",
      "\u001b[1;31mString form:\u001b[0m    <method-wrapper '__next__' of itertools.permutations object at 0x00000229FCE2C630>\n",
      "\u001b[1;31mDocstring:\u001b[0m      Implement next(self)."
     ]
    }
   ],
   "source": [
    "perm.__next__?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "тип обьекта итератор - это специальный обьект в питоне который позволяет перебирать элементы коллекции \n",
    "есть метод итер (инициализирует интератор) и метод некст (перемещает к следующему элементу) \n",
    "методы обьекта вызываются через точку\n",
    "метод - это обычная функция\n",
    "атрибуты - это обычная переменная"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "count_perm = len(list(perm))\n",
    "count_perm\n",
    "# len([*perm])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[]"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "list(perm)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[1;31mInit signature:\u001b[0m \u001b[0mpermutations\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0miterable\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mr\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;32mNone\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mDocstring:\u001b[0m     \n",
      "Return successive r-length permutations of elements in the iterable.\n",
      "\n",
      "permutations(range(3), 2) --> (0,1), (0,2), (1,0), (1,2), (2,0), (2,1)\n",
      "\u001b[1;31mType:\u001b[0m           type\n",
      "\u001b[1;31mSubclasses:\u001b[0m     "
     ]
    }
   ],
   "source": [
    "#\n",
    "# Init signature: permutations(iterable, r=None)\n",
    "permutations?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<p><b>combinations</b> - это класс, встроенная инструкция в модуле itertools для создания обьектов,  \n",
    "эта функция возвращает все возможные комбинации элементов в итерируемом объекте, не повторяя в итераторе \n",
    "ни одной из комбинаций. Если указан опциональный аргумент r, будут возвращены только комбинации длины r. она содержит в себе</p>"
   ]
  }
 ],
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