LewisGet

netsh wlan start hostednetwork

LewisGet

grep -rnw '/path/to/somewhere/' -e 'pattern'

LewisGet

def convert(value, sep):
    list_value = list(value)
    big = [chr(i + 65) for i in range(26)]
    _return_value = list()

    for index, i in enumerate(list_value):
        t = i

        if i in big and index is not 0:
            t = sep + i.lower()

LewisGet

import torch
import tensorflow as tf

pytorch_tensor = torch.zeros(10)
np_tensor = pytorch_tensor.numpy()
tf_tensor = tf.convert_to_tensor(np_tensor)

LewisGet

LewisGet

#!/usr/bin/env python

import pyaudio
import socket
import sys

FORMAT = pyaudio.paInt16
CHANNELS = 1
RATE = 44100
CHUNK = 4096

LewisGet

function get_content(dom) {
    if (!dom.document)
        return false;
    
    if (!dom.document.getElementsByTagName("ul"))
        return false;
    
    return dom.document.getElementsByTagName("ul")[1].innerText;
}

LewisGet

import shutil
import json
import os

with open(os.path.sep.join(["indexes", "1.12.json"])) as json_file:
    data = json.load(json_file)

    for k, v in data['objects'].items():
        name = os.path.sep.join((os.path.splitext(k)[0]).split("/"))
        path = os.path.sep.join(os.path.dirname(name).split("/"))

LewisGet

document.querySelectorAll("yt-live-chat-text-message-renderer #content #message").forEach(function (ele) { console.log(ele.innerText); });

LewisGet

import win32clipboard as clip

clip.OpenClipboard()

# 複製時間

data = clip.GetClipboardData(data_formats)
data_handle = clip.GetClipboardDataHandle(data_formats)
clip.CloseClipboard()
print(data)