piti118

# import pip
# pip.main(['install', 'psycopg2', 'pandas'])

import sys
import subprocess
import psycopg2
import threading

DSN = "dbname=postgres user=piti host=localhost"

piti118

### SQL Question

You are given the following three tables:

**`customers`**
| customer_id | name        |
|-------------:|-------------|
| 1            | Alice       |
| 2            | Bob         |
| 3            | Charlie     |

piti118

openapi: '3.0.2'
info:
  title: API Title
  version: '1.0'
servers:
  - url: https://api.server.test/v1
paths:
  /what-time-is-it:
    get:
      responses:

piti118

import tkinter as tk


def asf(frame, prefix):
    lb = tk.Listbox(frame)
    for i in range(10):
        lb.insert(i, f'{prefix} {i}')
    return lb

piti118

{
  "username": "frappet",
  "doctor": {
    "name": "Kazuya Sojo",
    "license": "12345678"
  },
  "patient": {
    "name": "Green Covid",
    "cid": "1234567890123",
    "phoneno": "0811234567",

piti118

listeners:
  default:
    type: tcp
    bind: 0.0.0.0:1883
  my-ws-1:
    bind: 0.0.0.0:8080
    type: ws
sys_interval: 20
auth:
  allow-anonymous: true

piti118

import numpy as np

def random_mask(a, n_choose):
    ret = a.copy()
    indices = np.random.choice(np.nonzero(a)[0], n_choose, replace=False)
    ret[:] = 0
    ret[indices] = a[indices]
    return ret

def random_flip(a, n_flip):

piti118

export function memoize(fn) {
  var cache = null
  var lastRet = null

  function cacheHit(oldCache, newCache) {
    return oldCache.length == newCache.length &&
      oldCache.every((x,i) => x === newCache[i])
  }

  return (...args) => {

piti118

version: '2'

services:

  nginx-proxy:
    image: jwilder/nginx-proxy
    ports:
      - "80:80"
      - "443:443"
    volumes:

piti118

pipeline:
  restore-cache:
    image: drillster/drone-volume-cache
    restore: true
    mount:
      - /drone/.m2
    volumes:
      - /tmp/cache:/cache

  build: