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#################
# This starts a web server listening on port 8001, with debugging turned n.
# This should not be be used to run the chatbot on a public website: it is meant
# for testing purposes only.
#################

from flask import Flask, request, jsonify
from flask import Flask, render_template, request, url_for
from langchain.chat_models import ChatOpenAI
from langchain.docstore.document import Document

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###############
# You should basically never use this program. It is only for generating the embeddings for your ChatBot.
# If you want to run the ChatBot, see web_app.py
###############
import os
from openai.embeddings_utils import get_embedding, cosine_similarity
import pandas
import openai
import glob
import time

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// cc test.c -lcurl -o testcurl && ./testcurl
#include <curl/curl.h>
#include <stdio.h>
int main() {
  CURLU *url = curl_url();
  CURLUcode rc = curl_url_set(
      url, CURLUPART_URL, "https://www.7‑Eleven.com/Home/Privacy/Montréal", 0);
  // Returns a CURLUcode error value, which is (0) if everything went fine.
  if (rc == 0) {
    char *buffer;

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#include "simdjson.h"
#include <fstream>
#include <iostream>
#include <sstream>
#include <string>
using namespace simdjson;

std::string read_file(const std::string &filename) {
  std::ifstream file(filename);

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"use strict";

import { bench, run } from "mitata";
import { existsSync, createWriteStream, readFileSync, mkdirSync } from "node:fs";
import path from "node:path";
import axios from "axios";

const fixturesFolderPath = new URL('fixtures', import.meta.url).pathname;
const urls = [
  "https://github.com/ada-url/url-various-datasets/blob/main/files/isaacs_files.txt",

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template <int align> struct alignas(align) A {
  volatile uint64_t count;
};

constexpr size_t iterations = 100'000'000;

void counter(volatile uint64_t *counterpt) {
  for (size_t i = 0; i < iterations; i++) {
    *counterpt = 3 * *counterpt * *counterpt + 1;

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using System;
using System.Runtime.Intrinsics;
using System.Runtime.Intrinsics.X86;
using System.Runtime.Intrinsics.Arm;
using System.Runtime.CompilerServices;
using System.Runtime.InteropServices;


// Ideally, we would want to implement something that looks like
// https://learn.microsoft.com/en-us/dotnet/api/system.text.asciiencoding?view=net-7.0

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52791.000000 164108.000000 353080.000000
43083.000000 134047.000000 342931.000000
42750.000000 132955.000000 342934.000000
42792.000000 133068.000000 342947.000000
42625.000000 132742.000000 342930.000000
42667.000000 132701.000000 342934.000000
42541.000000 132560.000000 342938.000000
42583.000000 132513.000000 342930.000000
42667.000000 132687.000000 342938.000000
42583.000000 132509.000000 342938.000000

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#include "simdjson.h"
#include <iostream>
using namespace simdjson; // optional

int main() {
  padded_string json = R"( {"exports": {}}  )"_padded;
  ondemand::parser parser;
  ondemand::document doc = parser.iterate(json);
  ondemand::object obj;
  auto err = doc.get_object().get(obj);

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const Benchmark = require('benchmark');
const { TypedFastBitSet } = require('typedfastbitset');
const { RoaringBitmap32 } = require('roaring/RoaringBitmap32');

// Set utils
function union(set1, set2) {
  return new Set([...set1, ...set2]);
}

function difference(set1, set2) {