NeuronQ

emplloyee_id,first_name,last_name,birth_date,salary,department,public_sgtoken
e458187f-1025-5623-8123-ddef4c303c7a,Clarence,Cortez,12/17/1989,25540,skunkworks3,gn7ha#s*Ky
89e322c2-b2e0-5d8b-b5e6-28e5cdd8165c,Nettie,Reeves,4/2/1965,13206,engineering,AaISTDXwt$
456374b8-2d66-5b37-8172-84cea2a4aa1c,Mittie,Paul,8/18/1970,46326,skunkworks3,VlQQ%F^yK9
1fe2fa68-06da-5edb-b8b3-b2335802cb57,Billy,Rodriquez,8/30/1966,37226,support,uu42WSsfqQ
205f3670-825e-50e3-94cc-697bceae0ee9,Victor,Goodman,10/14/1960,58031,marketing,#Bv]lHY2cR
63df23b9-2a42-5d75-8931-7e6c74c96c54,Jessie,Daniels,8/7/1989,30408,skunkworks3,SJmYw&Tf2G
40188dd5-9159-5d79-87e0-e90597742b28,Wayne,Christensen,12/13/1980,31541,r&d,tTROe1$O$[
370fa8f2-7d93-5387-97a5-dd99d2b8929f,Luis,Moody,10/12/1978,83540,support,E4k4R8C5Lg
b657d44f-5e43-5bec-a838-1e491418dd36,Sophie,Rios,6/28/1967,12605,sales,HQNmW@#AJE

NeuronQ

#include <iostream>

#include <GL/glew.h>
#include <GLFW/glfw3.h>

using namespace std;

static unsigned int CompileShader(unsigned int type, const string& source) {
    unsigned int id = glCreateShader(type);
    const char* src = source.c_str();

NeuronQ

import sys
import traceback

import gi
gi.require_version('Gst', '1.0')
from gi.repository import Gst, GObject  # noqa


INPUT_VIDEO_FILE_PATH = '/opt/app/data/video_file.mp4'
PLACEHOLDER_FILE_PATH = '/opt/app/data/tvlogo.png'

NeuronQ

## AUTHOR: Andrei Anton
## LICENSE: MIT

## USAGE EXAMPLE:
# @model_with_json_fields
# class MyThing(models.Model):
#     JSON_FIELDS = (
#         ['data', dict(default=dict, blank=True)],
#         ['errors', dict(null=True, blank=True)],
#     )

NeuronQ

async def main_concurrent():
    t = time.perf_counter()
    tasks = [asyncio.create_task(handle_url(url))
             for url in urls]

    ## All of the variants below would wait for everything:

    # V1: this will wait as little as possible
    #   (point of this is to show that tasks start executing when created)
    # for task in tasks:

NeuronQ

// async_scrape.js (tested with node 11.3)
const sleep = ts => new Promise(resolve => setTimeout(resolve, ts * 1000));

async function fetchUrl(url) {
    console.log(`~ executing fetchUrl(${url})`);
    console.time(`fetchUrl(${url})`);
    await sleep(1 + Math.random() * 4);
    console.timeEnd(`fetchUrl(${url})`);
    return `<em>fake</em> page html for ${url}`;
}

NeuronQ

# async_scrape.py (requires Python 3.7+)
import asyncio, random, time

async def fetch_url(url):
    print(f"~ executing fetch_url({url})")
    t = time.perf_counter()
    await asyncio.sleep(random.randint(1, 5))
    print(f"time of fetch_url({url}): {time.perf_counter() - t:.2f}s")
    return f"<em>fake</em> page html for {url}"

NeuronQ

// async_scrape.js (tested with node 11.3)
const sleep = ts => new Promise(resolve => setTimeout(resolve, ts * 1000));

async function fetchUrl(url) {
    console.log(`~ executing fetchUrl(${url})`);
    console.time(`fetchUrl(${url})`);
    await sleep(1 + Math.random() * 4);
    console.timeEnd(`fetchUrl(${url})`);
    return `<em>fake</em> page html for ${url}`;
}

NeuronQ

# async_scrape.py (requires Python 3.7+)
import asyncio, random, time

async def fetch_url(url):
    print(f"~ executing fetch_url({url})")
    t = time.perf_counter()
    await asyncio.sleep(random.randint(1, 5))
    print(f"time of fetch_url({url}): {time.perf_counter() - t:.2f}s")
    return f"<em>fake</em> page html for {url}"

NeuronQ

// callbacks_async_scrape.js (tested with node 11.3)
const http = require('http');
const https = require('https');

const fetchUrl = (url, onSuccess, onError) => {
    console.time(`fetchUrl(${url})`);
    (url.indexOf('https') === 0 ? https : http).get(url, resp => {
        let html = '';
        resp.on('data', chunk => html += chunk);
        resp.on('end', () => {