Inês Almeida britalmeida

## custom_game_engines_small_study.md

      
              1 file
            
          
              60 forks
            
          
              142 comments
            
          
              1308 stars
            
          
                raysan5
                / custom_game_engines_small_study.md
            
            
              Last active
              May 28, 2024 15:33
            
              
                A small state-of-the-art study on custom engines
              
          
    CUSTOM GAME ENGINES: A Small Study


A couple of weeks ago I played (and finished) A Plague Tale, a game by Asobo Studio. I was really captivated by the game, not only by the beautiful graphics but also by the story and the locations in the game. I decided to investigate a bit about the game tech and I was surprised to see it was developed with a custom engine by a relatively small studio. I know there are some companies using custom engines but it's very difficult to find a detailed market study with that kind of information curated and updated. So this article.
Nowadays lots of companies choose engines like Unreal or Unity for their games (or that's what lot of people think) because d

  
## haste.py
#!/usr/bin/env python3
# @python3
# @author Kalman Olah <hello@kalmanolah.net>
"""A hastebin CLI tool."""
import click
import json
import requests
import subprocess
import sys

## latency.markdown

      
              2 files
            
          
              743 forks
            
          
              50 comments
            
          
              4418 stars
            
          
                hellerbarde
                / latency.markdown
            
            
              Created
              May 31, 2012 13:16
                — forked from jboner/latency.txt
            
              
                Latency numbers every programmer should know
              
          
    Latency numbers every programmer should know

L1 cache reference ......................... 0.5 ns
Branch mispredict ............................ 5 ns
L2 cache reference ........................... 7 ns
Mutex lock/unlock ........................... 25 ns
Main memory reference ...................... 100 ns             
Compress 1K bytes with Zippy ............. 3,000 ns  =   3 µs
Send 2K bytes over 1 Gbps network ....... 20,000 ns  =  20 µs
SSD random read ........................ 150,000 ns  = 150 µs

Read 1 MB sequentially from memory ..... 250,000 ns = 250 µs

  
## dict_namedtuple.py
from collections import namedtuple
def convert(dictionary):
    return namedtuple('GenericDict', dictionary.keys())(**dictionary)

"""
>>> d = dictionary(a=1, b='b', c=[3])
>>> named = convert(d)
>>> named.a == d.a
True
>>> named.b == d.b
	#!/usr/bin/env python3
	# @python3
	# @author Kalman Olah <hello@kalmanolah.net>
	"""A hastebin CLI tool."""
	import click
	import json
	import requests
	import subprocess
	import sys
	from collections import namedtuple
	def convert(dictionary):
	return namedtuple('GenericDict', dictionary.keys())(**dictionary)

	"""
	>>> d = dictionary(a=1, b='b', c=[3])
	>>> named = convert(d)
	>>> named.a == d.a
	True
	>>> named.b == d.b