LewisGet

# 懶得裝 zsh 跟整套 oh my 時，塞上去 bash 版本

_my_ssh_autocomplete() {
    local cur=${COMP_WORDS[COMP_CWORD]}

    if [[ $cur =~ ^[0-9]{1,3}$ ]]; then
        local full_ip="[email protected].${cur}"
        COMPREPLY=( $(compgen -W "$full_ip" -- "$cur") )
    fi
}

LewisGet

import torch
from transformers import AutoTokenizer, AutoModelForCausalLM, pipeline, BitsAndBytesConfig

from datasets import Dataset
from torch.cuda.amp import autocast

import json
import glob
import os

LewisGet

import torch
from transformers import AutoTokenizer, AutoModelForCausalLM, pipeline, BitsAndBytesConfig
import json
import os

model_path = "/workspace/Qwen3-0.6B"
fine_tune_path = "/workspace/4bit-train"

per_device_train_batch_size=3
learning_rate=5e-6

LewisGet

from ollama import Client
import json
import re

client = Client(
  host='http://ollama:11434',
  headers={'x-some-header': 'some-value'}
)

f = open("text.txt", "r")

LewisGet

from bs4 import BeautifulSoup
from selenium import webdriver
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.common.by import By
from time import sleep


class WebCrawler:
    def __init__(self, default_url):
        self.driver = webdriver.Chrome()

LewisGet

{
  // space
  "translate_tabs_to_spaces": true,
  "trim_trailing_white_space_on_save": "all",
  "trim_only_modified_white_space": false,

  // style
  "font_size": 16,
}

LewisGet

javascipt:(function(content){let utterance = new SpeechSynthesisUtterance(content); speechSynthesis.speak(utterance);})("hello world");

LewisGet

let utterance = new SpeechSynthesisUtterance("Hello world!");
speechSynthesis.speak(utterance);

LewisGet

data:image/svg+xml,%3Csvg xmlns='http://www.w3.org/2000/svg' width='100' height='100'%3E%3Crect width='100%25' height='100%25' fill='%23{input_your_color}' /%3E%3C/svg%3E

LewisGet

import subprocess
import glob
import sys
import os


for i in glob.glob("./*"):
    t = subprocess.check_output(["file", "--mime-type", "-b", i], shell=True)
    t = t[-4:-1]
    if t == b"mp4":