ProximaMonkey

This is a fork of Bootstrap Typeahead that adds minimal but powerful extensions.

For example, process typeahead list asynchronously and return objects

  # This example does an AJAX lookup and is in CoffeeScript
  $('.typeahead').typeahead(
    # source can be a function
    source: (typeahead, query) ->
 # this function receives the typeahead object and the query string

ProximaMonkey

function(container, pins) {
    pins.imagesLoaded(function(images){
      container.masonry('appended', pins, false);

      // IE fix preventing not loading images
      jQuery.each(images, function(i, e, c) {
        var tmp_src = jQuery(e).attr("src");
        if (!e.complete) {
          jQuery(e).attr("src", "");
          jQuery(e).attr("src", tmp_src);

ProximaMonkey

TODO

Organize resources into sections

• GitHub Buttons
• FormBakery: create forms by drag and drop
• Twitter Bootstrap
• Bootstrap Buttons
• Bootstrap Generator
• Kickstrap
• Yahoo! (UI) Design Pattern Library

ProximaMonkey

import collections
import MySQLdb as dbapi

__all__ = ['MySql']


class MySql(object):
    def __init__(self, **kwargs):
        self.connection = dbapi.connect(**kwargs)
        self.host_name = kwargs.get('host')

ProximaMonkey

    server {
        server_name search.yahoo.com;

        # only handle requests from Safari search bar
        if ($args ~ fr=aaplw.*p=) {
            rewrite ^/search https://duckduckgo.com/?q=$arg_p? break;
        }

        # attempt to redirect other requests back to Yahoo, using alternative server name
        rewrite ^ http://search.ystg1.b.yahoo.com$request_uri? break;

ProximaMonkey

L1 cache reference                  0.5 ns
Branch mispredict                   5 ns
L2 cache reference                  7 ns
Mutex lock/unlock                   25 ns
Main memory reference               100 ns
Compress 1K bytes with Zippy        3,000 ns
Send 2K bytes over 1 Gbps network   20,000 ns
Read 1 MB sequentially from memory  250,000 ns
Round trip within same datacenter   500,000 ns
Disk seek                           10,000,000 ns

ProximaMonkey

using System;
using System.Collections.Generic;
using System.Linq;
using System.Web;
using System.Web.Mvc;
using System.Threading;
using System.Diagnostics;
using System.Text;

namespace StackOverflow.Helpers

ProximaMonkey

using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;

namespace System.Linq
{
	public class KeyEqualityComparer<T> : IEqualityComparer<T>
	{
		private readonly Func<T, T, bool> comparer;

ProximaMonkey

using System;

interface IAdd
{
    void Add(int val);
}

struct Foo : IAdd
{
    public int value;

ProximaMonkey

// WARNING：此脚本仅做学习和演示用途，在不了解其用途前不建议使用
// 本脚本的用途是将输入内容分页，每次提取一页内容，编辑第二条消息，发送，然后收集结果
// 使用前，需要有两条消息，参考模板 https://chat.openai.com/share/17195108-30c2-4c62-8d59-980ca645f111
// 演示视频： https://www.bilibili.com/video/BV1tp4y1c7ME/?vd_source=e71f65cbc40a72fce570b20ffcb28b22
// 
(function (fullText) {
  const wait = (ms) => new Promise((resolve) => setTimeout(resolve, ms));

  const groupSentences = (fullText, maxCharecters = 2800) => {
    const sentences = fullText.split("\n").filter((line) => line.trim().length > 0);