72lions

/**
 * Creates a new Uint8Array based on two different ArrayBuffers
 *
 * @private
 * @param {ArrayBuffers} buffer1 The first buffer.
 * @param {ArrayBuffers} buffer2 The second buffer.
 * @return {ArrayBuffers} The new ArrayBuffer created out of the two.
 */
var _appendBuffer = function(buffer1, buffer2) {
  var tmp = new Uint8Array(buffer1.byteLength + buffer2.byteLength);

debasishg

General Background and Overview

1. Probabilistic Data Structures for Web Analytics and Data Mining : A great overview of the space of probabilistic data structures and how they are used in approximation algorithm implementation.
2. Models and Issues in Data Stream Systems
3. Philippe Flajolet’s contribution to streaming algorithms : A presentation by Jérémie Lumbroso that visits some of the hostorical perspectives and how it all began with Flajolet
4. Approximate Frequency Counts over Data Streams by Gurmeet Singh Manku & Rajeev Motwani : One of the early papers on the subject.
5. [Methods for Finding Frequent Items in Data Streams](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.187.9800&rep=rep1&t

varemenos

Get Git log in JSON format

git log --pretty=format:'{%n  "commit": "%H",%n  "abbreviated_commit": "%h",%n  "tree": "%T",%n  "abbreviated_tree": "%t",%n  "parent": "%P",%n  "abbreviated_parent": "%p",%n  "refs": "%D",%n  "encoding": "%e",%n  "subject": "%s",%n  "sanitized_subject_line": "%f",%n  "body": "%b",%n  "commit_notes": "%N",%n  "verification_flag": "%G?",%n  "signer": "%GS",%n  "signer_key": "%GK",%n  "author": {%n    "name": "%aN",%n    "email": "%aE",%n    "date": "%aD"%n  },%n  "commiter": {%n    "name": "%cN",%n    "email": "%cE",%n    "date": "%cD"%n  }%n},'

The only information that aren't fetched are:

• %B: raw body (unwrapped subject and body)
• %GG: raw verification message from GPG for a signed commit

gtallen1187

"A little bit of slope makes up for a lot of y-intercept"

01/13/2012. From a lecture by Professor John Ousterhout at Stanford, class CS140

Here's today's thought for the weekend. A little bit of slope makes up for a lot of Y-intercept.

[Laughter]

jhansche

#!/bin/sh
# Usage: ./watch-fds.sh <application_id> [delay_secs = 5]

APP_ID=${1:?missing application id}
DELAY=$(( ${2:-5} ))

DEVICE_LIMIT=$(( $(adb shell ulimit -n) ))
WARN_THRESHOLD=$(( ${DEVICE_LIMIT} / 3 ))
echo "Will warn at ${WARN_THRESHOLD}"

procrastinatio

Introduction

So HAProxy is primalery a load balancer an proxy for TCP and HTTP. But it may act as a traffic regulator. It may also be used as a protection against DDoS and service abuse, by maintening a wide variety of statistics (IP, URL, cookie) and when abuse is happening, action as denying, redirecting to other backend may undertaken ([haproxy ddos config], [haproxy ddos])

djangofan

 import java.io.IOException;
 import java.net.Inet4Address;
 import java.net.InetAddress;
 import java.net.MalformedURLException;
 import java.net.URL;
 import java.net.UnknownHostException;
 import java.util.Arrays;
 
 import jpcap.JpcapCaptor;
 import jpcap.JpcapSender;

objcode

/* Copyright 2019 The Android Open Source Project
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 *   https://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,

pR0Ps

#!/usr/bin/env bash
set -eou pipefail

# This script takes/generates a Wireguard private/public key pair, registers it with CloudFlare's WARP
# service, and outputs a Wireguard config file.

# Adapted from @saurik's script here: https://twitter.com/saurik/status/1176893448445558784

if [ "$#" -gt 0 ] && [ "$1" = "--help" ]; then
    echo "Creates a Wireguard config file for CloudFlare's WARP service."

joaocruz04

Enabling FTS4 on an Android project with Room

You can do a SQL text query by using the LIKE operator. The issue is that using it requires a lot of computation, as a complete string query is done. Also if you want to have more search options (more fields), your query will grow a lot in complexity. To solve this issue, there's a concept of virtual tables for full text search (FTS).

We will build our solution using Room (already set in the project). We're using version 2.2.0-rc01 for that.

Step 1 - Create new Virtual Table

With Room, the only thing we need is to create the new class with @FTS4 notation. By specifying contentEntity to be the Route class, it means that it will reuse the values from the Route table instead of populating this one with copies. The fields in question should match the ones from the Route table. In this example we only need the title.