rainyman2012

version: '3.7'

services: 
    rabbitmq3:
        image: rabbitmq:3.8-rc-management
        environment: 
            RABBITMQ_ERLANG_COOKIE: "123456"
        restart: on-failure
        deploy:
            mode: replicated

rainyman2012

# my global config
global:
  scrape_interval:     15s # Set the scrape interval to every 15 seconds. Default is every 1 minute.
  evaluation_interval: 15s # Evaluate rules every 15 seconds. The default is every 1 minute.
  # scrape_timeout is set to the global default (10s).

# Alertmanager configuration
alerting:
  alertmanagers:
  - static_configs:

rainyman2012

from prometheus_client import start_http_server
import prometheus_client as prom
import random
import time

# Create a metric to track time spent and requests made.
counter = prom.Counter('python_my_counter', 'This is my counter')
gauge = prom.Gauge('python_my_gauge', 'This is my gauge')
histogram = prom.Histogram('python_my_histogram', 'This is my histogram')
summary = prom.Summary('python_my_summary', 'This is my summary')

rainyman2012

# my global config
global:
  scrape_interval:     15s # Set the scrape interval to every 15 seconds. Default is every 1 minute.
  evaluation_interval: 15s # Evaluate rules every 15 seconds. The default is every 1 minute.
  # scrape_timeout is set to the global default (10s).

# Alertmanager configuration
alerting:
  alertmanagers:
  - static_configs:

rainyman2012

#!/bin/bash

REQUIREMENTS="""
Django\n
daphne\n
"""
PROJECT_NAME=$1
if [ -z $PROJECT_NAME ]
then
        PROJECT_NAME=test_$(cat /dev/urandom | tr -dc 'a-zA-Z0-9' | fold -w 5 | head -n 1)

rainyman2012

import threading
import time

def blocking_io():
  print("thread start")
  time.sleep(10)
  print("thread finished")
    
def main():
    t1 = threading.Thread(target=blocking_io, name="blocking_task")

rainyman2012

import threading
import time

def blocking_io():
  print("thread start")
  time.sleep(10)
  print("thread finished")
    
def main():
    t1 = threading.Thread(target=blocking_io, name="blocking_task")

rainyman2012

import threading
import time

def blocking_1():
  print("thread start 1")
  time.sleep(10)
  print("thread finished 1")

def blocking_2():
    print("thread start 2")

rainyman2012

import numpy as np

day_price = np.array([[0,7], [1,12], [2,5], [3,3], [4,11], [5, 6], [6,10] ,[7,2], [8,0]])

results = np.zeros((9, 9))

print(results)
for buy in day_price:
    for sell in day_price:
        if buy[0] < sell[0]:

rainyman2012

def sensitive_post_parameters(*parameters):
    """
    Indicate which POST parameters used in the decorated view are sensitive,
    so that those parameters can later be treated in a special way, for example
    by hiding them when logging unhandled exceptions.

    Accept two forms:

    * with specified parameters: