ibraheem4

Installing Postgres via Brew

Pre-Reqs

Brew Package Manager

In your command-line run the following commands:

1. brew doctor
2. brew update

amitripshtos

from apscheduler.schedulers.background import BackgroundScheduler
from apscheduler.executors.pool import ThreadPoolExecutor
from apscheduler.jobstores.memory import MemoryJobStore
from apscheduler.job import Job
import json
import logging
from apscheduler.triggers.cron import CronTrigger
import time
from celery import Celery
from typing import List

haproxytechblog

# A comment begins with a hash sign
static.example.com  be_static
www.example.com     be_static

# You can add additional comments, but they must be on a new line
example.com         be_static
api.example.com     be_api

grepwood

#!/usr/bin/env python3.6
import requests
import json
import re
from datetime import datetime
from datetime import timedelta

def token():
	headers = {
		'Accept': 'application/json',

unixfox

{
  "comment": "Sample configuration for the NAT64 Jool service.",

  "instance": "default",
  "framework": "netfilter",

  "global": {
    "comment": "Sample pool6 prefix",
    "pool6": "64:ff9b::/96"
  }

superseb

k3s etcd commands

etcd

Setup etcdctl using the instructions at https://github.com/etcd-io/etcd/releases/tag/v3.4.13 (changed path to /usr/local/bin):

Note: if you want to match th etcdctl binaries with the embedded k3s etcd version, please run the curl command for getting the version first and adjust ETCD_VER below accordingly:

curl -L --cacert /var/lib/rancher/k3s/server/tls/etcd/server-ca.crt --cert /var/lib/rancher/k3s/server/tls/etcd/server-client.crt --key /var/lib/rancher/k3s/server/tls/etcd/server-client.key https://127.0.0.1:2379/version

Tech-TX

Objective of the design: use inexpensive components to produce a cleanroom-style particle counter that can be run semi-continuously, monitored from outside the cleanroom.

The 攀藤 (PlanTower) PMS5003 (fifth generation) or PMS7003 (seventh generation) dust sensor costs $15 to $22 on eBay from Shenzhen suppliers.  It samples 0.1 liter and calculates dust particles in > 0.3um, 0.5um, 1um, 2.5um, 5um and 10um bins.  In order to get a useful reading in a cleanroom, we need to add the results from 100 samples (10 liters of air) or the counts are too small to be reliable.   ISO 14644-1:1999 specifies counts in 1 cubic metre of air, which would require 10,000 samples from this small sensor.  100 samples takes roughly 300 seconds to process, so sampling 1 m3  would take 500 minutes (8.3 hours).  As this device is not intended to be a NIST-traceable particle counter, sampling at 1% should give a reasonable estimate of the cleanroom quality.  Note that the two smallest particle bins have up to 50% uncertainty; the larger

joehenry087

// Not sure where I found this approach. Probably a combination of multiple kind people's advices.
// Basically we make a random number or something and encode it as 62 bit, for concise URL ids.
// I don't recall how uniqueness is guaranteed but I think its because we are basing the ID off the timestamp. You could also add a unique constraint on your DB column of course.

CREATE sequence global_id_sequence MINVALUE 0 MAXVALUE 1023 START 0 CYCLE;

CREATE OR REPLACE FUNCTION generate_number(OUT number_id bigint) AS $$
    DECLARE
        shard_id int := 1;
        start_epoch bigint := 1498490095287;

jlia0

You are Manus, an AI agent created by the Manus team.

You excel at the following tasks:
1. Information gathering, fact-checking, and documentation
2. Data processing, analysis, and visualization
3. Writing multi-chapter articles and in-depth research reports
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5. Using programming to solve various problems beyond development
6. Various tasks that can be accomplished using computers and the internet