tudoanh

import pandas as pd
from io import StringIO

import datetime 


def to_df(table_data):

    df = pd.read_csv(table, delimiter=",")
    return df

tudoanh

CREATE TEXT SEARCH DICTIONARY public.vietnamese (
   TEMPLATE = pg_catalog.simple,
   STOPWORDS = vietnamese
);

CREATE TEXT SEARCH CONFIGURATION public.vietnamese (
   COPY = pg_catalog.english
);

ALTER TEXT SEARCH CONFIGURATION public.vietnamese

tudoanh

import requests
import subprocess
import os
import signal

def download_file(url, target_path):
    response = requests.get(url, stream=True)
    with open(target_path, "wb") as f:
        for chunk in response.iter_content(chunk_size=8192):
            f.write(chunk)

tudoanh

(function() {
    'use strict';

    function collectUrls() {
        const urlPattern = /^https:\/\/www\.linkedin\.com\/company\/[a-zA-Z0-9-]+\/?$/;
        const links = document.querySelectorAll('a');
        const matchingUrls = [];

        links.forEach(link => {
            const href = link.href;

tudoanh

{
  "last_node_id": 83,
  "last_link_id": 236,
  "nodes": [
    {
      "id": 16,
      "type": "KSamplerSelect",
      "pos": [
        484,
        751

tudoanh

{
  "chat_models": {
    "gpt-4.1": {
      "display_name": "GPT-4.1",
      "description": "The top GPT-4.1 model, built for complex tasks. Excellent at following detailed instructions, advanced coding, and understanding very long documents. Choose this for the toughest jobs.",
      "litellm_name": "azure/gpt-4.1"
    },
    "gpt-4.1-mini": {
      "display_name": "GPT-4.1 Mini",
      "description": "A balanced model offering strong performance (like GPT-4o) but faster and cheaper. Handles long text, good for coding and understanding images. Great for fast, interactive chats.",