{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Python Sample Scripts\n",
"\n",
"* 用同一個 folder 下的 python_sample_answer.ipynb 默寫"
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
""
],
"text/plain": [
""
]
},
"execution_count": 17,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# sphinx version。一定有辦法直接把這個 button 加到 sphinx config 裡，有空再研究\n",
"\n",
"from IPython.display import HTML\n",
"\n",
"HTML('''\n",
"''')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## fix_seed as a Context Manager"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"0.5488135039273248\n",
"0.7731968705194575\n"
]
}
],
"source": [
"import numpy as np\n",
"\n",
"class fix_seed:\n",
" def __init__(self, seed=0):\n",
" self.seed = seed\n",
" \n",
" def __enter__(self):\n",
" np.random.seed(self.seed)\n",
" \n",
" def __exit__(self, exc_type=None, exc_value=None, traceback=None):\n",
" np.random.seed()\n",
" \n",
"with fix_seed(seed=0):\n",
" print(np.random.uniform())\n",
"print(np.random.uniform())"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Exception\n",
"\n",
"* Open file in a try block with exception handling"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[Errno 2] No such file or directory: 'circles_.py'\n",
"Done!\n"
]
}
],
"source": [
"try:\n",
" file = open('circles_.py')\n",
"except FileNotFoundError as e:\n",
" print(e)\n",
"else:\n",
" print(file.readline())\n",
" file.close()\n",
"finally:\n",
" print('Done!')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## unittest\n",
"\n",
"* 寫一個 ```circle_area``` 計算圓面積，要檢查輸入半徑是否為非負 ```int``` 或 ```float``` 然後寫 test case 測這些 input：```1, 0, 2.1, -2, 3+5j, True, 'radius'```\n",
"* 如果是 script 可以在最下面寫 ```unittest.main()``` 開始跑，但在 Jupyter 不行"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
"from math import pi\n",
"import unittest\n",
"\n",
"def circle_area(r):\n",
" if type(r) not in [float, int]:\n",
" raise TypeError('Radius must be int or float.')\n",
" if r < 0:\n",
" raise ValueError('Radius can not be negative.')\n",
" \n",
" return pi*(r**2)\n",
"\n",
"class TestCircleArea(unittest.TestCase):\n",
" def test_areas(self):\n",
" self.assertAlmostEqual(circle_area(1), pi)\n",
" self.assertAlmostEqual(circle_area(0), 0)\n",
" self.assertAlmostEqual(circle_area(2.1), pi*(2.1**2))\n",
" \n",
" def test_values(self):\n",
" with self.assertRaises(ValueError):\n",
" circle_area(-2)\n",
" \n",
" def test_types(self):\n",
" with self.assertRaises(TypeError):\n",
" circle_area(3+5j)\n",
" circle_area(True)\n",
" circle_area('radius')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## OOP\n",
"\n",
"* ```Person``` and ```SuperHero``` classes with ```reveal_id``` methods"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"My name is Corey.\n",
"My name is Wade Wilson.\n",
"And I'm Deadpool.\n"
]
}
],
"source": [
"class Person:\n",
" def __init__(self, name):\n",
" self.name = name\n",
" \n",
" def reveal_id(self):\n",
" print(f\"My name is {self.name}.\")\n",
" \n",
"class SuperHero(Person):\n",
" def __init__(self, name, hero_name):\n",
" super().__init__(name)\n",
" self.hero_name = hero_name\n",
" \n",
" def reveal_id(self):\n",
" super().reveal_id()\n",
" print(f\"And I'm {self.hero_name}.\")\n",
" \n",
"corey = Person('Corey')\n",
"corey.reveal_id()\n",
"\n",
"wade = SuperHero('Wade Wilson', 'Deadpool')\n",
"wade.reveal_id()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Generator\n",
"\n",
"* 印 1000 以內的所有 2 的冪次"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[2, 4, 8, 16, 32, 64, 128, 256, 512]"
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"def pow2():\n",
" n = 2\n",
" while n < 1000:\n",
" yield n\n",
" n *= 2\n",
"\n",
"list(pow2())"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Decorator \n",
"\n",
"### fix_seed (No Argument)"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"0.5488135039273248\n",
"0.6487172323362883\n"
]
}
],
"source": [
"# fix_seed：固定 seed = 0 版本。離開函數 seed 會還原成 None\n",
"\n",
"import numpy as np\n",
"import functools\n",
"\n",
"def fix_seed(fnc):\n",
" @functools.wraps(fnc)\n",
" def wrapper_fix_seed(*args, **kargs):\n",
" np.random.seed(0)\n",
" res = fnc(*args, **kargs)\n",
" np.random.seed()\n",
" return res\n",
" return wrapper_fix_seed\n",
"\n",
"@fix_seed\n",
"def print_rand():\n",
" print(np.random.uniform())\n",
" \n",
"print_rand()\n",
"print(np.random.uniform())"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### fix_seed With Argument"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"0.5434049417909654\n",
"0.5834370961600464\n"
]
}
],
"source": [
"# 接受 argument 版本，但變成一定要指定 seed\n",
"\n",
"import numpy as np\n",
"import functools\n",
"\n",
"def fix_seed(seed=0):\n",
" def decorator_fix_seed(fnc):\n",
" @functools.wraps(fnc)\n",
" def wrapper_fix_seed(*args, **kargs):\n",
" np.random.seed(seed)\n",
" res = fnc(*args, **kargs)\n",
" np.random.seed()\n",
" return res\n",
" return wrapper_fix_seed\n",
" return decorator_fix_seed\n",
"\n",
"@fix_seed(seed=100)\n",
"def print_rand():\n",
" print(np.random.uniform())\n",
" \n",
"print_rand()\n",
"print(np.random.uniform())"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.8.5"
}
},
"nbformat": 4,
"nbformat_minor": 4
}