ForeverZer0

using System;
using System.IO;
using System.IO.Compression;
using System.Text;

namespace TarExample
{

	public class Tar
	{

khokhryakov47

using System;
using System.Collections;
using System.Collections.Generic;
using UnityEngine;

public class PhysicsMovement : MonoBehaviour
{
    [SerializeField] private float _minGroundNormalY = .65f;
    [SerializeField] private float _gravityModifier = 1f;
    [SerializeField] private Vector2 _velocity;

SupinePandora43

// simplest file logger in c++
#include <fstream>
//#include <iostream>
static void LOG(char* message) {
  //std::cout << message << std::endl;
	std::fstream fs;
	fs.open("log.txt", std::fstream::in | std::fstream::out | std::fstream::app);
	fs << message;
	fs << "\n";
	fs.close();

EgorBo

Dynamic PGO in .NET 6.0

Dynamic PGO (Profile-guided optimization) is a JIT-compiler optimization technique that allows JIT to collect additional information about surroundings (aka profile) in tier0 codegen in order to rely on it later during promotion from tier0 to tier1 for hot methods to make them even more efficient.

What exactly PGO can optimize for us?

1. Profile-driving inlining - inliner relies on PGO data and can be very aggressive for hot paths and care less about cold ones, see dotnet/runtime#52708 and dotnet/runtime#55478. A good example where it has visible effects is this StringBuilder benchmark:

2. Guarded devirtualization - most monomorphic virtual/interface calls can be devirtualized using PGO data, e.g.:

void DisposeMe(IDisposable d)

teo-tsirpanis

// Written by Theodore Tsirpanis.
// Licensed under the CC0 license.
// SPDX-License-Identifier: CC0-1.0

using System.Buffers;

#nullable enable

/// <summary>
/// Manages temporary buffers with low GC pressure.

joaquinicolas

      pacman -S --needed git base-devel
      git clone https://aur.archlinux.org/yay.git
      cd yay
      makepkg -si
      
      yay -S flutter

      java -version

      sudo pacman -S jre8-openjdk