Hakky54

Cheat Sheet - Http Client SSL TLS Configuration for Java, Kotlin and Scala with example http requests

The examples below use the base ssl configuration found here: SSLConfig of the library: SSLContext Kickstart

Java

• Apache HttpClient -> Client configuration | Example request
• Apache HttpAsyncClient -> [Client configuration](https://github.com/Hakky54/mutual-tls-ssl/blob/35cba2f3a2dcd73b01fa323b99eec7777f7429bb/client/src/main/

qis

cmake_minimum_required(VERSION 3.19 FATAL_ERROR)
project(icu VERSION 68.1 LANGUAGES C CXX)

#set(ICU_VER "${PROJECT_VERSION_MAJOR}-${PROJECT_VERSION_MINOR}")
#set(ICU_URL "https://github.com/unicode-org/icu/archive/release-${ICU_VER}.tar.gz")
#set(ICU_SHA "5b3cfb519c20511c1c0429b093ec16960f6a6a0d7968a9065fda393f9eba48fc")
#download(${ICU_URL} ${ICU_SHA} src)

set(ICU_DIR "release-${PROJECT_VERSION_MAJOR}-${PROJECT_VERSION_MINOR}")
set(ICU_TAR "icu4c-${PROJECT_VERSION_MAJOR}_${PROJECT_VERSION_MINOR}-src.tgz")

mdasifchand

// Eigen library usage analogous to Matlab
// Full example can be found at : https://github.com/mdasifchand/EigenExamples/blob/main/main.cpp
// Author : Asif, few ideas are adapted from Keir Mierle and gocarlos

#include <iostream>
#include <eigen3/Eigen/Dense>

using namespace Eigen;

nadavrot

High-Performance Matrix Multiplication

This is a short post that explains how to write a high-performance matrix multiplication program on modern processors. In this tutorial I will use a single core of the Skylake-client CPU with AVX2, but the principles in this post also apply to other processors with different instruction sets (such as AVX512).

Intro

Matrix multiplication is a mathematical operation that defines the product of

kosh04

cookie.txt

Oleksiy-Yakovenko

#include "stdafx.h"

#define USE_POPEN 1

#if PLATFORM_WINDOWS
#define popen _popen
#define pclose _pclose
#endif

class Pipe

thennequin

struct PieMenuContext
{
	static const int	c_iMaxPieMenuStack = 8;
	static const int	c_iMaxPieItemCount = 12;
	static const int	c_iRadiusEmpty = 30;
	static const int	c_iRadiusMin = 30;
	static const int	c_iMinItemCount = 3;
	static const int	c_iMinItemCountPerLevel = 3;

	struct PieMenu

kkleidal

import tensorflow as tf
import io
import matplotlib.pyplot as plt
import numpy as np
import scipy as scipy # Ensure PIL is also installed: pip install pillow

'''
matplotlib_summary code:
Code for generating a tensorflow image summary of a custom matplotlib plot.

csukuangfj

// Copyright 2017. All Rights Reserved.
// Author: [email protected] (Fangjun Kuang)

#include <QtGui>
#include <QGraphicsRectItem>
#include <QGraphicsView>
#include <QApplication>
#include <QGraphicsSceneMouseEvent>

class CustomItem : public QGraphicsEllipseItem

luke14free