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// Use Gists to store code you would like to remember later on
console.log(window); // log the "window" object to the console

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import java.util.Set;
import java.util.concurrent.ConcurrentHashMap;

public class HelloConvariance {
  public static void main(String[] args) {
    ConcurrentHashMap<String, String> properties = new ConcurrentHashMap<>();
    Set<String> keySet = properties.keySet();
  }
}

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1) Create a branch with the tag
	git branch {tagname}-branch {tagname}
	git checkout {tagname}-branch

2) Include the fix manually if it's just a change .... 
	git add .
	git ci -m "Fix included"
    or cherry-pick the commit, whatever is easier
	git cherry-pick  {num_commit}
	

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<?xml version="1.0" encoding="UTF-8"?>
<beans xmlns="http://www.springframework.org/schema/beans" 
	   xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" 
	   xmlns:util="http://www.springframework.org/schema/util" 
	   xsi:schemaLocation="http://www.springframework.org/schema/beans http://www.springframework.org/schema/beans/spring-beans.xsd
           http://www.springframework.org/schema/util http://www.springframework.org/schema/util/spring-util-3.0.xsd">
	
	<bean id="systemProps" class="org.springframework.beans.factory.config.MethodInvokingFactoryBean">
    	   <property name="targetObject" value="#{@systemProperties}" />
    	   <property name="targetMethod" value="putAll" />

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#!/usr/bin/env bash

# should install jq first, for mac:brew install jq

# Documentation
# https://docs.gitlab.com/ce/api/projects.html#list-projects

NAMESPACE="your group name in gitlab"
BASE_PATH="https://gitlab.example.com/"
PROJECT_SEARCH_PARAM=""

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<project xmlns="http://maven.apache.org/POM/4.0.0"
         xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
         xsi:schemaLocation="http://maven.apache.org/POM/4.0.0
           http://maven.apache.org/maven-v4_0_0.xsd">
  <modelVersion>4.0.0</modelVersion>
  <groupId>com.gordondickens.sample</groupId>
  <artifactId>sample-parent</artifactId>
  <version>1.0.0</version>

  <packaging>pom</packaging>

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#!/usr/bin/env python
# encoding: utf-8

from __future__ import print_function

'''
analyze /proc/<pid>/smaps

doc
http://liutaihua.github.io/2013/04/25/process-smaps-analysis.html

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在Mac、Linux 终端显示 Git 当前所在分支

1. 进入你的home目录

cd ~

1. 编辑.bashrc文件

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package com.meiliao.ops.utils.security;

import java.security.NoSuchAlgorithmException;
import java.security.NoSuchProviderException;
import java.security.SecureRandom;
import java.util.HashMap;
import java.util.Map;
import java.util.Queue;
import java.util.concurrent.ConcurrentLinkedQueue;

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Scaling your API with rate limiters

The following are examples of the four types rate limiters discussed in the accompanying blog post. In the examples below I've used pseudocode-like Ruby, so if you're unfamiliar with Ruby you should be able to easily translate this approach to other languages. Complete examples in Ruby are also provided later in this gist.

In most cases you'll want all these examples to be classes, but I've used simple functions here to keep the code samples brief.

Request rate limiter

This uses a basic token bucket algorithm and relies on the fact that Redis scripts execute atomically. No other operations can run between fetching the count and writing the new count.