{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "BMP_HEADER_TEMPLATE = b'BM6\\x00\\x03\\x00\\x00\\x00\\x00\\x006\\x00\\x00\\x00(\\x00\\x00\\x00\\x00\\x01\\x00\\x00\\x00\\x01\\x00\\x00\\x01\\x00\\x18\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x03\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00'\n",
    "\n",
    "\n",
    "class Image:\n",
    "    def __init__(self, data=None):\n",
    "        if data is None:\n",
    "            self.data = []\n",
    "            for i in range(256):\n",
    "                self.data.append([])\n",
    "                for j in range(256):\n",
    "                    self.data[-1].append([])\n",
    "                    for k in range(3):\n",
    "                        self.data[-1][-1].append(0)\n",
    "        else:\n",
    "            self.data = data\n",
    "    \n",
    "    def readFromFile(self, path):\n",
    "        FILE = open(path, mode='rb')\n",
    "        bts = FILE.read()\n",
    "        \n",
    "        cnt = 0\n",
    "        for i in range(256):\n",
    "            for j in range(256):\n",
    "                self.data[i][j][0] = int(bts[54 + i * 256 * 3 + j * 3])\n",
    "                self.data[i][j][1] = int(bts[54 + i * 256 * 3 + j * 3 + 1])\n",
    "                self.data[i][j][2] = int(bts[54 + i * 256 * 3 + j * 3 + 2])\n",
    "        FILE.close()\n",
    "        return\n",
    "    \n",
    "    def writeToFile(self, path):\n",
    "        FILE = open(path, mode='wb')\n",
    "        FILE.write(BMP_HEADER_TEMPLATE)\n",
    "        for i in range(256):\n",
    "            for j in range(256):\n",
    "                for k in range(3):\n",
    "                    FILE.write(self.data[i][j][k].to_bytes(1, byteorder=\"little\"))\n",
    "        \n",
    "        FILE.close()\n",
    "        return"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "img = Image()\n",
    "#img.readFromFile(\"./pics/test.bmp\")\n",
    "\n",
    "for i in range(256):\n",
    "    for j in range(256):\n",
    "        img.data[i][j] = [i, 255, 255]\n",
    "\n",
    "#img.writeToFile(\"./pics/test2.bmp\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Чтобы посмотреть вставить картинку в Markdown, пользуйтесь следующим синтаксисом `![Image1](pics/test2.bmp)`    \n",
    "\n",
    "![Image1](pics/test2.bmp)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Напишите свой собственный градиент, и сохраните его в файл `pics/grad.bmp`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# paste your code here"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Напишите функцию `grayscale()`, принимающую три параметра - веса компонент R, G и B."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def grayscale(self, r, g, b):\n",
    "    # Add your code here\n",
    "\n",
    "    return\n",
    "Image.grayscale = grayscale"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Один из простейших режимов наложения картинок - __Add__. Все компоненты складываются, все, что больше 255 - обрезается."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def image_add(self, other):\n",
    "    # Add your code here\n",
    "    return Image(data)\n",
    "\n",
    "Image.__add__ = image_add"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Другой популярный режим наложения картинок - __Multiply__. (В формуле ниже считается, что _a_ и _b_ - дробное число от 0 до 1)\n",
    "$$\n",
    "F(a,b) = ab\n",
    "$$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def image_multiply(self, other):\n",
    "\n",
    "    return Image(data)\n",
    "Image.__mul__ = image_multiply"
   ]
  }
 ],
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   "display_name": "Python 3",
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  "language_info": {
   "codemirror_mode": {
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