kristiker

import sys
import time
import shutil
from pathlib import Path
from watchdog.observers import Observer
from watchdog.events import FileSystemEventHandler

class FileHandler(FileSystemEventHandler):
    def __init__(self, src_folder: Path, dest_folder: Path):
        self.src_folder = src_folder

kristiker

//
// Remove duplicate values from an array
//

Span<int> nums = new int[] { 0, 0, 6, 1, 2, 4, 6, 5, 2, 1, 0};

Span<T> remove_dupes<T>(Span<T> nums) where T : IEquatable<T>
{
    int unique_cursor = 0;
    for (int i = 0; i < nums.Length; i++)

kristiker

//=================================================================================================
// Reconstructed with VRF - https://vrf.steamdb.info/
//=================================================================================================
HEADER
{
	Description = "Shader used by the particle system";
	DevShader = true;
	Version = 0;
}
MODES

kristiker

// VULKAN[6] source bytes (39936) ref=5b6d78009026a5acc5e0a9f79e9b14dc
// SPIR-V source (39844), Glsl reflection with SPIRV-Cross, KhronosGroup

// D_BAKED_LIGHTING_FROM_LIGHTMAP == 1
// D_COMPRESSED_NORMALS_AND_TANGENTS == 0
// D_BLEND == 0
// vs[0][20]
// ps[0](6)

// Stage: VS

kristiker

URL	Description
stbrumme/crc32	Fast CRC32
https://bitbucket.org/wolfpld/etcpak	An etremely fast ETC compression utility
electronicarts/dem-bones	An automated algorithm to extract the Linear Blend Skinning (LBS) with bone transformations from a set of example meshes
chadmv/cmt	Personal Maya Tools
anthonix/ffts	The Fastest Fourier Transform in the South
nfrechette/acl	Animation Compression Library
nfrechette/rtm	Realtime Math
jemalloc/jemalloc	General purpose malloc(3) implementation

kristiker

library("rvest")
library("anytime")

# From https://steamdb.info/app/730/patchnotes/
patchnotes <- read_html("C:/Users/kristi/Documents/Counter-Strike_ Global Offensive (App 730) · Patches and Updates · SteamDB.html")

update_timestamps <- patchnotes %>%
  html_nodes("tbody") %>%
  .[[2]] %>%

kristiker

kenge1 3.1 kenge2 2.9 kenge3 4.4 neser 2.8 kurre 3.3332

kristiker

"""
Analyse your CS:GO Match History Data

Original by DrMarioCSGO
https://pastebin.com/v5EVZMTq
https://www.reddit.com/r/GlobalOffensive/comments/qvdf4v/

Requirements:
pip install pandas
pip install matplotlib

kristiker

// =========================================================================================
//								THIS FILE WAS GENERATED BY MIGI
// =========================================================================================
//
//	VScripts example, can be used on hosts to play around with entities.
//	They use a language called Squirrel and have its most basic functionalities.
//	For the rest use CS:GO's implementations listed bellow.
//	Not much can be done without events, no way to add them to this system for now.
//
//	Documentation:

kristiker

// launch options: -dallow_third_party_software -novid -language bananagaming +clientport 27006

con_enable "1"                          //Enables console
cl_autowepswitch "0"                    //Disable auto-weapon switch
cl_join_advertise "2"                   //Let friends join your community servers
cl_showloadout "1"

snd_mixahead "0.017"
snd_hrtf_distance_behind "35"
snd_headphone_pan_exponent "10.0"