{
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   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# SW08 InClass - Repetition and Programming  \n",
    "\n",
    "This file is intended for interactive revision in the first hour of class. You write directly in the lines of code."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Task 1 - Ball Surface  \n",
    "\n",
    "- Define the function ``ball_surface(radius)``, which can calculate and **return** the surface area of ​​a sphere.\n",
    "- Provide the function with **Type-Hints**\n",
    "- Provide the function with a **Doc string**\n",
    "- Give the function a **default value** of 5\n",
    "- Test this"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Task 2 - Distance 2d  \n",
    "- Define the function that can calculate the distance between two points in 2D: ``distance_2D((x1,y1)(x2,y2))``\n",
    "- test these"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The distance between points is 0.0 units\n"
     ]
    }
   ],
   "source": [
    "import math\n",
    "\n",
    "x1,y1 = float(input(\"Type x1: \")),float(input(\"Type y1: \"))\n",
    "x2,y2 = float(input(\"Type x2: \")),float(input(\"Type y2: \"))\n",
    "\n",
    "distance_x = (x2-x1)\n",
    "distance_y = (y2-y1)\n",
    "\n",
    "def distance_2D(distance_x,distance_y):\n",
    "    distance = math.sqrt((distance_x)**2 + (distance_y)**2)\n",
    "    print(f\"The distance between points is {round(distance, 2)} units\")\n",
    "\n",
    "distance_2D(distance_x,distance_y)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Task 3 - Farenheit  \n",
    "\n",
    "- Write a function ``celcius_fahrenheit(deg:float)`` which converts a temperature from **°Celcius to °Fahrenheit**.\n",
    "- Extend the **input and return values** with **type hints**\n",
    "- Create a **DocString** for the function\n",
    "\n",
    "- Test the function\n",
    "- 0°C = 32°F\n",
    "- 37°C $\\approx $ 98.6°F"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "37.0°C are 98.6°F\n"
     ]
    }
   ],
   "source": [
    "deg = input(\"Degree in Celsius: \")\n",
    "def celsius_farenheit(deg:float)->float:\n",
    "    \"\"\"\n",
    "    Parameters\n",
    "        deg: Degrees [°C]\n",
    "\n",
    "    Result\n",
    "        return far: Converted degrees [°F]\n",
    "    \"\"\"\n",
    "    far = (float(deg)*9/5)+32\n",
    "    return far\n",
    "\n",
    "print(f\"{float(deg)}°C are {celsius_farenheit(deg)}°F\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Array tasks  "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Array Arithmetic I  \n",
    "\n",
    "Write a NumPy program to create an **8x8 matrix** and fill it with a **checkerboard pattern** (``1 = \"white\" and 0 = black``). Use **array indexing** to create the checkerboard.\n",
    "\n",
    "<div style=\"text-align: center;\">\n",
    "<img src=\"https://houseofchess.co.za/cdn/shop/products/vinyllargeblack10.jpg?v=1639083970\" alt=\"vinyl image\" width=\"300px\">\n",
    "</div>\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[1 0 1 0 1 0 1 0]\n",
      " [0 1 0 1 0 1 0 1]\n",
      " [1 0 1 0 1 0 1 0]\n",
      " [0 1 0 1 0 1 0 1]\n",
      " [1 0 1 0 1 0 1 0]\n",
      " [0 1 0 1 0 1 0 1]\n",
      " [1 0 1 0 1 0 1 0]\n",
      " [0 1 0 1 0 1 0 1]]\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "\n",
    "checkboard_1 = np.array([[1,0,1,0,1,0,1,0],[0,1,0,1,0,1,0,1]]*4)\n",
    "print(checkboard_1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[1 0 1 0 1 0 1 0]\n",
      " [0 1 0 1 0 1 0 1]\n",
      " [1 0 1 0 1 0 1 0]\n",
      " [0 1 0 1 0 1 0 1]\n",
      " [1 0 1 0 1 0 1 0]\n",
      " [0 1 0 1 0 1 0 1]\n",
      " [1 0 1 0 1 0 1 0]\n",
      " [0 1 0 1 0 1 0 1]]\n"
     ]
    }
   ],
   "source": [
    "checkboard_2 = np.ones((8,8)).astype(int)\n",
    "checkboard_2[::2,1::2] = 0\n",
    "checkboard_2[1::2,::2] = 0\n",
    "\n",
    "print(checkboard_2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Array Arithmetic II (OPTIONAL -> difficult)  \n",
    "\n",
    "Write the function ``same_elements(arr_1,arr_2), `` which returns the **common values** between the **two 1D arrays**.\n",
    "\n",
    "- Extend the function with **Type Hints** for the **input and return values** (Type array: ``np.nd_array``)\n",
    "- Create a **DocString**\n",
    "- Test the function with the following arrays:\n",
    "\n",
    "```python\n",
    "x = np.array([1,2,3,4,5,6,7,8])\n",
    "y = np.array([4,5,6])\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[4 5 6]\n"
     ]
    }
   ],
   "source": [
    "x = np.array([1,2,3,4,5,6,7,8])\n",
    "y = np.array([4,5,6])\n",
    "\n",
    "def same_elements(x:np.ndarray,y:np.ndarray)->np.ndarray:\n",
    "    res =  []\n",
    "    for elem in x:\n",
    "        if elem in y:\n",
    "            res.append(elem)\n",
    "    return np.array(res)\n",
    "\n",
    "print(same_elements(x,y))"
   ]
  }
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