Dr.Q quinsulon

GPL3 LICENSE SYNOPSIS

TL;DR* Here's what the license entails:

1. Anyone can copy, modify and distribute this software.
2. You have to include the license and copyright notice with each and every distribution.
3. You can use this software privately.
4. You can use this software for commercial purposes.
5. If you dare build your business solely from this code, you risk open-sourcing the whole code base.

System Design Cheatsheet

Picking the right architecture = Picking the right battles + Managing trade-offs

Basic Steps

Clarify and agree on the scope of the system

User cases (description of sequences of events that, taken together, lead to a system doing something useful)
- Who is going to use it?
- How are they going to use it?

	import os; import psutil; import timeit
	from datasets import load_dataset

	mem_before = psutil.Process(os.getpid()).memory_info().rss >> 20
	wiki = load_dataset("wikipedia", "20200501.en", split='train')
	mem_after = psutil.Process(os.getpid()).memory_info().rss >> 20
	print(f"RAM memory used: {(mem_after - mem_before)} MB")

	s = """batch_size = 1000
	for i in range(0, len(wiki), batch_size):

	import math
	import torch
	import torch.nn as nn
	import torch.nn.functional as F
	from torch.nn import TransformerEncoder, TransformerEncoderLayer


	class TransformerModel(nn.Module):

	def __init__(self, ntoken, ninp, nhead, nhid, nlayers, dropout=0.5):

	import java.util.SortedMap;
	import java.util.TreeMap;

	public class ConsistentHashing {

	// Consistent Hashing with Ring having 50 buckets.
	final static int LIMIT = 50;

	// Sorted Map.
	final static SortedMap<Integer, String> bucketIdToServer = new TreeMap<>();

	# Implementation of a chinese restaurant process function for a given list of word vectors.
	def crp(vecs):
	clusterVec = [[0.0] * 25] # tracks sum of vectors in a cluster
	clusterIdx = [[]] # array of index arrays. e.g. [[1, 3, 5], [2, 4, 6]]
	ncluster = 0
	# probablity to create a new table if new customer
	# is not strongly "similar" to any existing table
	pnew = 1.0/ (1 + ncluster)
	N = len(vecs)
	rands = [random.random() for x in range(N)] # N rand variables sampled from U(0, 1)

	<?xml version="1.0" encoding="UTF-8"?>
	<!--
	# Goes inside %APPDATA%\kodi\userdata
	-->
	<playercorefactory>
	<players>
	<player name="VLC" type="ExternalPlayer" audio="false" video="true">
	<filename>/usr/bin/vlc</filename>
	<hidexbmc>true</hidexbmc>
	<hideconsole>true</hideconsole>