Weird Sort-and-Compress Thing

Overview

Weird Sort-and-Compress Thing

A weird integer sorting + compression algorithm inspired by a conversation with Luthingx (it probably already exists by some name I don't know yet). There's a lot still to improve about this algorithm, so be careful where you use it.

How it works

Here's an example for the following list:

l = [1, 2, 2, 2, 3]

The algorithm starts with counting sort, creating a dictionary with each unique number as key and the number of occurences of it in the list as the value:

d = {1: 1, 2: 3, 3: 1}

To decrease the space needed to store the numbers in memory, we'll only store the first number and then the difference between each of the next numbers and the previous one:

d2 = [(1, 1), (1, 3), (1, 1))

Now, the minimum amount of memory we need to store every key that's in d2 is 1 bit, since 1 is the maximum difference between any subsequent elements. The same applies to the values, except that to store any value here we need 2 bits of memory, since the maximum value is 3(11 in binary). So we know that we can store this list as a sequence of 3 bits elements, like this:

d2_bin = ["101", "111", 101"]

We can now return the list as a single number, along with a pair of integers containing the number of bits in each key and the number of bits in each value, allowing the value to be decompressed.

Memory efficiency

Here's a list with the sum of the number of bits of all numbers in a list with 100 elements, generated with random values in the range 0 to 50 and generated 20 times, vs. the number of bits in the resulting compressed integer(taking as a premise that all numbers in the array are all actually stored in continuous memory, including duplicates):

467 => 208
486 => 230
490 => 221
491 => 216
493 => 222
491 => 221
494 => 230
485 => 235
494 => 217
490 => 252
461 => 265
476 => 241
492 => 247
487 => 230
474 => 246
460 => 222
484 => 216
486 => 203
484 => 222
485 => 231

And 1000 numbers from 0 to 50, also 20 times:

4724 => 358
4827 => 309
4818 => 308
4801 => 309
4763 => 309
4763 => 309
4801 => 359
4757 => 359
4766 => 309
4794 => 309
4769 => 309
4789 => 359
4887 => 359
4787 => 309
4761 => 309
4749 => 309
4844 => 308
4798 => 359
4799 => 308
4763 => 359
Owner
Douglas
Douglas
This is the Alpha of Nutte language, she is not complete yet / Essa é a Alpha da Nutte language, não está completa ainda

nutte-language This is the Alpha of Nutte language, it is not complete yet / Essa é a Alpha da Nutte language, não está completa ainda My language was

catdochrome 2 Dec 18, 2021
🍊 PAUSE (Positive and Annealed Unlabeled Sentence Embedding), accepted by EMNLP'2021 🌴

PAUSE: Positive and Annealed Unlabeled Sentence Embedding Sentence embedding refers to a set of effective and versatile techniques for converting raw

EQT 21 Dec 15, 2022
Unofficial Parallel WaveGAN (+ MelGAN & Multi-band MelGAN & HiFi-GAN & StyleMelGAN) with Pytorch

Parallel WaveGAN implementation with Pytorch This repository provides UNOFFICIAL pytorch implementations of the following models: Parallel WaveGAN Mel

Tomoki Hayashi 1.2k Dec 23, 2022
Snips Python library to extract meaning from text

Snips NLU Snips NLU (Natural Language Understanding) is a Python library that allows to extract structured information from sentences written in natur

Snips 3.7k Dec 30, 2022
Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch

Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch

Phil Wang 5k Jan 02, 2023
ACL'22: Structured Pruning Learns Compact and Accurate Models

☕ CoFiPruning: Structured Pruning Learns Compact and Accurate Models This repository contains the code and pruned models for our ACL'22 paper Structur

Princeton Natural Language Processing 130 Jan 04, 2023
Open-Source Toolkit for End-to-End Speech Recognition leveraging PyTorch-Lightning and Hydra.

OpenSpeech provides reference implementations of various ASR modeling papers and three languages recipe to perform tasks on automatic speech recogniti

Soohwan Kim 26 Dec 14, 2022
In this workshop we will be exploring NLP state of the art transformers, with SOTA models like T5 and BERT, then build a model using HugginFace transformers framework.

Transformers are all you need In this workshop we will be exploring NLP state of the art transformers, with SOTA models like T5 and BERT, then build a

Aymen Berriche 8 Apr 13, 2022
a chinese segment base on crf

Genius Genius是一个开源的python中文分词组件,采用 CRF(Conditional Random Field)条件随机场算法。 Feature 支持python2.x、python3.x以及pypy2.x。 支持简单的pinyin分词 支持用户自定义break 支持用户自定义合并词

duanhongyi 237 Nov 04, 2022
(ACL-IJCNLP 2021) Convolutions and Self-Attention: Re-interpreting Relative Positions in Pre-trained Language Models.

BERT Convolutions Code for the paper Convolutions and Self-Attention: Re-interpreting Relative Positions in Pre-trained Language Models. Contains expe

mlpc-ucsd 21 Jul 18, 2022
OceanScript is an Esoteric language used to encode and decode text into a formulation of characters

OceanScript is an Esoteric language used to encode and decode text into a formulation of characters - where the final result looks like waves in the ocean.

State of the Art Natural Language Processing

Spark NLP: State of the Art Natural Language Processing Spark NLP is a Natural Language Processing library built on top of Apache Spark ML. It provide

John Snow Labs 3k Jan 05, 2023
Search with BERT vectors in Solr and Elasticsearch

Search with BERT vectors in Solr and Elasticsearch

Dmitry Kan 123 Dec 29, 2022
Simple bots or Simbots is a library designed to create simple bots using the power of python. This library utilises Intent, Entity, Relation and Context model to create bots .

Simple bots or Simbots is a library designed to create simple chat bots using the power of python. This library utilises Intent, Entity, Relation and

14 Dec 15, 2021
Flexible interface for high-performance research using SOTA Transformers leveraging Pytorch Lightning, Transformers, and Hydra.

Flexible interface for high performance research using SOTA Transformers leveraging Pytorch Lightning, Transformers, and Hydra. What is Lightning Tran

Pytorch Lightning 581 Dec 21, 2022
The model is designed to train a single and large neural network in order to predict correct translation by reading the given sentence.

Neural Machine Translation communication system The model is basically direct to convert one source language to another targeted language using encode

Nishant Banjade 7 Sep 22, 2022
Paddle2.x version AI-Writer

Paddle2.x 版本AI-Writer 用魔改 GPT 生成网文。Tuned GPT for novel generation.

yujun 74 Jan 04, 2023
spaCy-wrap: For Wrapping fine-tuned transformers in spaCy pipelines

spaCy-wrap: For Wrapping fine-tuned transformers in spaCy pipelines spaCy-wrap is minimal library intended for wrapping fine-tuned transformers from t

Kenneth Enevoldsen 32 Dec 29, 2022
Geometry-Consistent Neural Shape Representation with Implicit Displacement Fields

Geometry-Consistent Neural Shape Representation with Implicit Displacement Fields [project page][paper][cite] Geometry-Consistent Neural Shape Represe

Yifan Wang 100 Dec 19, 2022
iSTFTNet : Fast and Lightweight Mel-spectrogram Vocoder Incorporating Inverse Short-time Fourier Transform

iSTFTNet : Fast and Lightweight Mel-spectrogram Vocoder Incorporating Inverse Short-time Fourier Transform This repo try to implement iSTFTNet : Fast

Rishikesh (ऋषिकेश) 126 Jan 02, 2023