Andrey Smorodov Smorodov

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: Ayza

Java

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

	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")



	// 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;

	#include "stdafx.h"

	#define USE_POPEN 1

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

	class Pipe

	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

	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.

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

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

	class CustomItem : public QGraphicsEllipseItem