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/* | |
Super Easy Diy Drumpad Example | |
GIT: https://gist.github.com/billju/ce1337ea3c1dbb4341ce22dca1b55442 | |
2017 by Billju | |
Inspired by Evan Kale | |
*/ | |
#include <Keyboard.h> | |
#include "MIDIUSB.h" |
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from selenium import webdriver | |
driver = webdriver.Chrome('C:/Users/使用者名稱/Downloads/chromedriver.exe') | |
driver.get('https://shopee.tw/') #會彈出新的頁面 | |
cookies = driver.get_cookies() #格式為list包dict | |
csrftoken = [item['value'] for item in cookies if item['name'] == 'csrftoken'][0] |
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import numpy as np | |
A = np.array([['男', '市場部', '24000', '無'], | |
['女', '研發部', '45000', '有'], | |
['男', '會計部', '45000', '無'], | |
['男', '研發部', '40000', '無'], | |
['女', '市場部', '24000', '有'], | |
['女', '研發部', '40000', '無'], | |
['男', '市場部', '24000', '有']]) | |
def Hamming_distance(A): |
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# 定義計算方法 | |
log2 = lambda x: np.log2(x,where=x!=0) | |
I = lambda *args: sum([-arg/sum(args)*log2(arg/sum(args)) for arg in args]) | |
G = lambda *args: sum([1-(arg/sum(args))**2 for arg in args]) | |
Cum = lambda F, P, y: P.mean() * F(*[ (P&(y==v)).sum() for v in y.unique() ]) | |
CumSum = lambda F, S, y: sum([ Cum(F, S==v, y) for v in S.unique() ]) | |
E = lambda S, y: CumSum(I, S, y) | |
Gain = lambda S, y: I(*y.value_counts()) - E(S, y) | |
SplitGain = lambda S: I(*S.value_counts()) | |
GainRatio = lambda S, y: Gain(S,y) / SplitGain(S) |
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import numpy as np | |
# activation function | |
sigmoid = lambda x: 1/(1+np.exp(-x)) | |
# set input, output and hyperparameter | |
X = np.array([ | |
[1,0,1] | |
]) | |
y = np.array([ | |
[1] | |
]) |
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import io | |
import pandas as pd | |
from itertools import permutations, combinations | |
CSV = """ | |
交易紀錄 牛奶(A) 麵包(B) 餅乾(C) 柳橙汁(D) 汽水(E) 泡麵(F) 水果(G) | |
101 1 1 1 1 0 0 0 | |
102 0 1 1 0 1 1 0 | |
103 1 0 1 0 0 0 1 | |
104 1 1 0 1 0 1 1 | |
105 0 0 1 0 1 0 1 |
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import numpy as np | |
import pandas as pd | |
k = 2 # K個群集 | |
max_iter = 10 # 最大迭代 | |
data = np.array([1, 2, 3, 4, 11, 12]) | |
last = np.random.choice(data, k, replace=False) # 初始化K個中心點 | |
func = lambda x,y: np.abs(x-y) # 計算距離方法 | |
steps = [] | |
for _ in range(max_iter): | |
# 對每筆資料求出最近的中心點 |
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# 下載 https://tesseract-ocr.github.io/tessdoc/Downloads.html | |
# 權重 https://github.com/tesseract-ocr/tessdata_best | |
# .box檔案格式:字 6 394 45 410 0 | |
import os | |
import shutil | |
from PIL import Image | |
from glob import glob | |
lang = 'chi_tra' | |
font = 'ocrb' | |
dist = 'tessdata' |
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const puppeteer = require('puppeteer-core'); | |
const fs = require('fs'); | |
const path = require('path'); | |
const glob = require('glob').sync; | |
const { execSync } = require('child_process'); | |
const edgeExe = 'C:/Program Files (x86)/Microsoft/Edge/Application/msedge.exe'; | |
/** | |
* 全國電子公佈欄爬蟲 | |
* https://www.odbbs.gov.tw/odbbs/html/announce.jsp | |
*/ |
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const fs = require('fs'); | |
const { execSync } = require('child_process'); | |
// 讀取版號 | |
const package = JSON.parse(fs.readFileSync('package.json')); | |
let version = process.argv[2]; // 指令引數 | |
if (!version) { | |
// 自動增加版號 | |
version = parseInt(package.version.replace(/\./g, '')); | |
version = (version + 1).toString(); | |
version = '0'.repeat(Math.max(3 - version.length)) + version; |
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