Best compression algorithm for binary data

• Best compression algorithm for binary data. It is used to Aiming at these problems, this paper proposed a binary synchronous compression algorithm (BSCA), which includes three key parts: firstly, a feature selection method and a sample selection method based on variance analysis and random sampling comparison, respectively, are presented; Then, the proposed two methods handle the original dataset Oct 1, 2019 · those dynamically changing dictionary based algorithms work hard on producing optimal code for the continually evolving dictionary/table from previous input data in real time, sort of dynamic huffman code generation, but will not produce optimal code with drastically changing data pattern, unless you give it pretty big memory to store If you're seeing this message, it means we're having trouble loading external resources on our website. 16857:1). The compression algorithms that most people are familiar with are general purpose compression algorithms, such as zip, gzip or zstd. Therefore, to overcome these challenges, compression has become necessary In this video we take a look at three different compression algorithms in Python. Sep 20, 2023 · Data Types Data-type in simple terms gives us information about the type of data. Compression ratio. ・Text, images, sound, video, … Basic concepts ancient (1950s), best technology recently developed. ” — IBM report on big data (2011) May 7, 2011 · Back then i thought that this concept could be the key to the most efficient compression algorithm ever. The algorithm finds a set of basis vectors and their Mar 24, 2020 · With the emergent evolution in DNA sequencing technology, a massive amount of genomic data is produced every day, mainly DNA sequences, craving for more storage and bandwidth. This work aims at improving the lossless compression of binary images. For comparison, WinRar "Best" method with default options results in 0. Today, we’ll benchmark 5 widely-used general-purpose lossless data compression Mar 21, 2016 · The size depends on how small you need the resulting files to be, that is how long decompression may take. Huffman while he was a Sc. They are therefore agnostic to data types, and can be used on any stream of bits. Oct 29, 2023 · Higher compression ratio settings can be memory-hungry. There is a ZPAQ program that takes a configuration file to describe the compression algorithm, as well as other programs like ZPIPE that use a fixed compression algorithm. It is fast, and despite its age it Sep 30, 2011 · Most compression algorithms will work equally bad on such data. Being optimized for XML, it compresses XML more ways more efficient than any conventional compression algorithm. Data compression is a fundamental technique in computer science that For best compression ratio with LZMA2 use 1 or 2 CPU threads. Genetics compression algorithms are the latest generation of lossless algorithms that compress data (typically sequences of nucleotides) using both conventional compression algorithms and genetic algorithms adapted to the specific datatype. Lossless algorithms reconstruct original data without any loss. To overcome this Apr 25, 2013 · Gzip is known to be "fine", which means compression ratio is okay, and speed is good. They work with any string data, and binary strings are just If you're seeing this message, it means we're having trouble loading external resources on our website. Binary Search Algorithm. 5 Lossless compression and expansion uses fewer bits (you hope) Basic model for data compression . lrzip. 50–75% or better compression ratio for natural language. You can find sample python code all over the GitHub while the former is more powerful but also more difficult. Apr 13, 2013 · Xz is the best format for well-rounded compression, while Gzip is very good for speed. Today, we’ll benchmark 5 widely-used general-purpose lossless data compression programs: gzip Sep 4, 2023 · Data compression is a technique used to reduce the size of a file. Some of the most common and popular algorithms are ZIP, JPEG, MP3, GZIP, and LZ4. If you're behind a web filter, please make sure that the domains *. , GenBank flat file database), this approach has been criticized to be extravagant because genomic sequences often contain repetitive content (e. This results in a prefix-free binary code meaning no code is a prefix of the another. 📚 Programming Books & Merch 📚🐍 The Python Bible Book: ht Jan 5, 2024 · When selecting a data compression algorithm, you can consider multiple factors. Mar 18, 2024 · It’s a powerful data transformation method that is used in a lossless data compression algorithm. 50-75% or better compression ratio for natural language. Sep 18, 2019 · I've done some test using a Pickled object, lzma gave the best compression. , Huffman coding) Bit flags - For example assigning security levels of a user (e. While standard data compression tools (e. They are simple algorithms, and don't need much memory. Data compression Compression reduces the size of a file: ・To save space when storing it. May 28, 2020 · Take a look at these compression algorithms that reduce the file size of your data to make them more convenient and efficient. Note that the algorithm cannot be lossy. flate2. Supports zlib, gzip, and raw deflate streams. Deflate, zlib, gzip — three names intertwined. ・Parkinson’s law: data expands to fill space available. Software-based ultrasound imaging systems provide high flexibility that allows easy and fast adoption of newly developed algorithms. So something like this: Sep 19, 2019 · developing a scalable compression algorithm that exploits this model’s theoretical compression potential. Who needs compression? ・Moore’s law: # transistors on a chip doubles every 18–24 months. BINARY to use the RDC (Ross Data Compression) algorithm, which is highly effective for compressing medium to large (several hundred bytes or larger) blocks of binary data. h, heatshrink_config. Sep 4, 2023 · Huffman Coding Algorithm. WHAT IS SHANNON FANO CODING? Shannon Fano Algorithm is an entropy encoding technique for lossless data compression of multimedia. g. 3 19. 11 compression ratio and is approximately 6x slower, "Fastest" method gives 0. If you had a collection of numbers that always consisted of the same amount of numbers (say a collection of 10 numbers) and you could figure out a way to calculate a formula from that collection of numbers so that you could reconstruct it. We use binary encoding as it is generally mentioned as a minimal representation compared to other formats. e. In 2012, a team of scientists from Johns Hopkins University published a genetic compression algorithm algorithm is intended to be combining with other data compression algorithms to optimize the compression ratio. The problem is, they are taking a lot of space, like 50Gigs, I compressed all of them already with xz with max settings, but the compression rate is not good, when I open the iso files with vim, I can see that being binary images, they are full of zeros, so I wonder if there is a compression algorithm specifically designed for such files, or if ZIPX file format (WinZip, 2008) designed to improve compression ratio over ZIP with support for more compression algorithms. Dec 6, 2019 · Thus, the final compressed size of the data has very little to do with the serialization method, and almost everything to do with the compression method. Choosing the best compression algorithm is a balancing game between the cost to store the data and the cost to compress the data, but you can choose the right balance according to your Parallel PXZ 4. Aug 31, 2016 · While lossless data compression is the focus of this post, there exists a related but very different field of lossy data compression, used primarily for images, audio, and video. If not, and you know more about the data than can be "intuited" by the compression algorithms, you should leverage that information. Below is the step-by-step algorithm for Binary Search: Jun 3, 2024 · In the quest for efficient data storage and transfer, compression algorithms play a pivotal role. Usually it provides high compression ratio and high speed for text files. Understanding the differences between these strategies is critical for selecting the best solution depending on the unique requirements of various applications. The data is usually a JSON string and when it is saved in a file, it uses up to 10 Mb of disk. It is much faster than the other strong compression tools (bzip2, lzma), and some files it compresses even better than bzip2 or lzma. Jul 27, 2021 · Compression techniques are essential for efficient data storage and transmission. Compress. To do so, copy heatshrink_common. pxz process used 3. The important metrics for the decompression algorithm is the size of the data plus the size of the algorithm (as they will reside in the same limited memory). zstd 0m3. You could (should) compress the data first (using any suitable compression algorithm, not necessarily an algorithm that's hex-specific), and then (if you need hex-encoding) hex-encode the compressed data. Limited Applicability: LZW compression is particularly effective for text-based data, but may not be as effective for other types of data, such as images or video, which have Mar 18, 2024 · However, there were some issues with the compression algorithms. If you want more compression, other alternatives exist, such as 7z. Specifically, lossless compression reduces the data size by replacing long symbols with a shorter Jul 6, 2010 · Is there another algorithm that would be able to compress this kind of data better? I'm using C++. The process of finding or using such a code is Huffman coding, an algorithm developed by David A. Jun 3, 2024 · Jun 3, 2024. Deflate is the algorithm used by the zlib and gzip implementations. ZFP did not have an implementation to compress float16 data so the compression factor was not great (3. However, there are a few things ("preprocessing") that you can do to increase the compressibility of the data before feeding it to a gzip or deflate like algorithm. Aug 31, 2016 · Zlib offers nine compression levels; Zstandard currently offers 22, which enables flexible, granular trade-offs between compression speed and ratios for future data. It has been under development since either 1996 or 1998 by Igor Pavlov [1] and was first used in the 7z format of the 7-Zip archiver. Compressed Data - For example when transferring data between socket connections you'll most likely be dealing with binary data; Encryption/Compression Algorithms - Encryption and compression algorithms are often built using binary operations (e. Jun 20, 2021 · A high compression ratio for any algorithm does not imply it is the best algorithm for all data types. bzip2 is the best compromise between being enjoying a relatively broad install base and a rather good compression ratio, but requires a separate archiver. Sep 5, 2021 · The problem was that I wasn't writing the data to the file sequentially. With EXI, you can operate on compressed XML data on the fly (without the need to uncompress or re-compress it). Jun 22, 2016 · Higher compression can be achieved with a=1, higher values for d, fb and mc at the expense of increased compression time. The Lempel–Ziv–Markov chain algorithm (LZMA) is an algorithm used to perform lossless data compression. Many factors affect choosing the best compression method for every data type. 5 Lossless compression and expansion uses fewer bits (you hope) Basic model for data compression May 10, 2024 · Huffman coding is a popular algorithm used for the lossless data compression. Quoting the README: This is a compression program optimised for large files. lrzip is what you're really looking for, especially if you're compressing source code!. LZS is one I'm familiar with. 5 GiB at maximum. In truth, you should simply try running any of the common algorithms and see if the data is "compressed enough". Mar 4, 2017 · I have made extensive tests with binary NBT (archive) data and all options that 7zip (archive) offers. The demand for large-scale image data grows increasingly fast, resulting in a need for efficient image compression. Bits in C(B) / bits in B. Mar 9, 2022 · We present a new lossy compression algorithm for statistical floating-point data through a representation learning with binary variables. Optimize file and row group size: The size of files and row groups must balance efficient data access and storage. kasandbox. Compression and Huffman Coding Supplemental reading in CLRS: Section 16. Yes, gz is the default compression tool on Linux. Introduction to Zlib. To solve this situation, Zstd offers a training mode, which can be used to tune the algorithm for a selected type of data. , User=0001 Oct 28, 2021 · Decompression is the inverse compression process that, through a particular algorithm, restores compressed data to the state before compression. , multiple genome sequences from the same species). Named after Oct 28, 2022 · General Purpose Compression Algorithms. It features an extremely fast decoder, with speed in multiple GB/s per core, typically reaching RAM speed limits on multi-core systems. To understand how to best exploit this property, we rst study how the IEEE 754 double-precision binary representation of two values varies in com-parison to their decimal representation. This can be useful in various scenarios, such as reducing storage requirements or optimizing data transmission over networks. If you're interested in learning by watching or listening, check out a video about this open source project on our Facebook Open Source YouTube channel. Moreover, at a reading speed of 10 ms ± Jan 28, 2021 · For on-the-fly compression, a faster algorithm is preferable even if it sub-optimally compresses the data, whereas an archival application may prefer higher compression power at the expense of Oct 19, 2015 · It first compresses 900 MB large data blocks using a dictionary method, and then it hands the cleaned-up data over to bzip2. Message. It does this by extending the rzip algorithm to accommodate variable memory sizes as well as making use of multiple compression algorithms. The next graph illustrates the compression speed per compression Most lossless compression programs do two things in sequence: the first step generates a statistical model for the input data, and the second step uses this model to map input data to bit sequences in such a way that "probable" (i. They reduce the number of bits used to represent the message, even if that reduces the quality of reconstructed data. Oct 7, 2016 · If the data has a predictable pattern then it's compressible. Additionally, some algorithms involve trade-offs between speed and size – algorithms that compress faster tend to produce larger files. INTRODUCTION Dec 28, 2017 · One of the things that is driven from the top in SEGGER is that we can always do better. Data-types in C language are declarations for the variables. The larger the file and the more memory you have, the better the compression advantage this will provide, especially once the files are larger than 100MB. ・To save time when transmitting it. This algorithm basically uses the words as symbols, creates a dictionary from them, and replaces them with integers. 5 quintillion bytes of data—so much that 90% of the data in the world today has been created in the last two years alone. Nov 3, 2014 · Data is added to an AVRO object and object is binary encoded to write to Kafka. org are unblocked. All integers are positive. Best Practices for Using Json Compression. org and *. Jun 25, 2010 · So, any pointers on which algorithm is most suitable for compressing serialized Java objects (as well as arbitrary binary data) would be much appreciated. There are two forms of compression: lossless and lossy. There is very little RAM available for the decompression; it is possible to decompress the data for a single glyph into RAM but not much more. Compression predates digital technology, having been used in Morse Code, which assigned the shortest codes to the most Good compression has to necessarily exploit the empirical property of time series data in that close-in-time measurements are very similar if not exactly the same. There are two different sorts of goals one might hope to achieve with compression: • Maximize ease of access, manipulation and processing In my case, the reading speed was an important factor, so the difference with other compression methods made me stray away from this particular compression algorithm for my specific use case. (while keeping it streamable within dwarfs most of the time) Recently I stumbled upon mcm compression alg Aug 23, 2018 · I am looking for text compression algorithms (natural language compression, rather than compression of arbitrary binary data). All numbers are unique and progressively increasing. Bzip2 is decent for its compression ratio, although xz should probably be used in its place. Lossy compression reduces the size of data by removing unnecessary information, while there is no data loss in lossless compression. , microsatellite sequences) or many sequences exhibit high levels of similarity (e. Aug 27, 2017 · Requirements for the compression algorithm. Here are the set of compression algorithms we'll explain, grouped by data type: Integer compression: Delta encoding; Delta-of-delta encoding; Simple-8b; Run-length encoding; Floating point compression: XOR-based Should become THE data format for compressing XML data in the future (claimed to be the last necessary binary format). And it would be amazing if someone knows of an active project that relates to this topic (Apache didn't seem to have anything). For example, we can use level 1 if speed is most important and level 22 if size is most important. Generates a "compressed" representation C(B). ・Most files have lots of redundancy. Huffman in 1952 a A classic algorithm for binary data clustering is Bernoulli Mixture model. In Data Structure One of my favroite algorithms & technique is huffman coding and Greedy Algorithms. – There is a standalone command-line program, heatshrink, but the encoder and decoder can also be used as libraries, independent of each other. When a user sends the compressed data over the internet, the file received may or may not contains the same data as the original file. 17 compression and is 1. Data-types are classified as: Primitive or Built-in data types Some of the examples of primitive data types are as follows Variable named ch refers to the memory address 100 Feb 1, 2021 · Near-Lossless compression techniques is an another type of compression technique where the difference between the original and reconstructed data is guaranteed to vary from the respectively values in the original data by no more than a user-specified amount called as maximum absolute distortion (MAD) (Ansari et al. Oct 16, 2023 · so all algorithms struggled to compress the (mostly binary data) file and managed to squeeze it down ~50%. Aug 27, 2024 · Data compression, the process of reducing the amount of data needed for the storage or transmission of a given piece of information, typically by the use of encoding techniques. To reduce the size of a file, unnecessary information is removed or parts that repeat the same information are stored once. c (and their respective header) into your project. , transducers) to the ultrasound imaging systems is a major bottleneck in the software-based architecture, especially in the context of real-time imaging. kastatic. Supports miniz_oxide and multiple zlib implementations. student at MIT, and published in the 1952 paper "A Method for the Construction of Minimum-Redundancy Codes". I'm reading the data from different satellites, and I was writing the data to the file one parameter at a time, which meant actual sequential readings where interrupted by data from other satellites. Nov 12, 2008 · I have a large array with a range of integers that are mostly continuous, eg 1-100, 110-160, etc. frequently encountered) data will produce shorter output than "improbable" data. Aug 22, 2020 · Algorithms capable of optimizing human-readable data before it becomes an input are thus prone to getting miscast as wholly incapable of processing binary data. 1 Compression As you probably know at this point in your career, compression is a tool used to facilitate storing large data sets. The central idea of lossless compression is to exploit the statistical redundancy of the content in a file. . This paper examines the performance of a set Aug 25, 2023 · In data compression, lossy algorithms compress data while losing some details. c or heatshrink_decoder. If this is a 'real-time' compression, I would recommend investigating a lower-level Brotli or Zstandard compressor (the high level ones take a lot CPU - but do give very good compression). But your results can vary based on your data, I'd recommend testing them with some sample data of your own. , zip and rar) are being used to compress sequence data (e. while zstd won in terms of “maximum compression” it was super impressive how fast bzip2 accomplished the compression 😀 “maximum compression” toplist: 12784 MBytes (zstd) 12903 MBytes (7z) 12907 MBytes (xz) MGARD uses additional lossless compression on the binary multigrid data. The truth remains, however: apart from pre-processing optimization, both binary and human-readable data can be treated as strings-of-bytes inputs and easily processed. All kidding aside: Where compatibility is a concern, PKZIP (DEFLATE algorithm) still wins. Mar 18, 2024 · Lossless compression is a class of data compression that reduces the size of a file without losing any data, unlike lossy compression. PPMd Dmitry Shkarin's PPMdH algorithm with small changes. DEFLATE compression and decompression exposed as Read/BufRead/Write streams. If a user wants to maximize efficiency, they should select an algorithm that offers the best compression rate for their particular Aug 30, 2023 · Algorithms capable of optimizing human-readable data before it becomes an input are thus prone to getting miscast as wholly incapable of processing binary data. It works by assigning variable-length codes to input characters with the shorter codes assigned to more frequent characters. Use the abstract ID first, then the timestamp. This makes it a great option for compressing sensitive data or important files. Expand. Every data type has many suitable compression methods and algorithms. It uses a 2 kB dictionary for compression and decompression (the dictionary is the most recent 2 kB of the uncompressed data stream). General purpose compression algorithms work by finding patterns in bits. We highlight the versatility Dec 27, 2008 · I have found that the compression algorithm tends to be more effective than choosing an alternative format. 7z, highest compression, algorythm LZMA2, biggest dictionary size and word size (for big files). At minimum and default compression level Deflate algorithm is used, at maximum compression level WinZip tries to determine the most fit algorithm from supported ones, including BZip2, LZMA and PPMd. Oct 22, 2009 · An algorithm something like LZSS would probably be a good choice for an embedded platform. Aug 29, 2024 · Conditions to apply Binary Search Algorithm in a Data Structure. It provides a set of functions and algorithms that allow developers to compress and decompress data efficiently. The compression ratio of the resulting compression scheme heavily relies on the first problem: the model capacity. Hence, we can divide the data compression algorithms into two broad categories: lossless and lossy data compression. Oct 29, 2011 · The specification does not describe the compression algorithm. Not satisfied with standard schemes, we wanted to optimize emCompress, SEGGER’s compression library, for: Very fast decompression High compression ratio (uncompressed size divided by compressed size) Small decompressor Limited state in RAM when decompressing With some experimentation, […] Jul 23, 2019 · LZMA2 offered the best compression for this scenario, followed by Bzip and Gzip. 238s: 117M: zstd -19 -T0: c -I"zstd -19 -T0" -f-19 gives the best possible compression and -T0 utilizes all cores. But, if you know a priori something about the nature of the files you will be compressing, you can optimize your algorithm for that particular type of file. If somebody has a link to an overview of all popular compression algorithms I'll just accept that as answer. The algorithm was developed by the David A. 999. Edit: Please no more suggestions to change the data itself. May 18, 2009 · If your data is within a smaller range, you may well be able to leverage that. When compressing json files, it’s important to use the right tool for the job. The data I data is also taken as an example of how the algorithm is decompressed. Oct 25, 2008 · There's always lzip. Recent advances in deep learning allow us to optimize probabilistic models of complex high-dimensional data efficiently. The performance of this algorithm is measured by comparing combination of different data compression algorithms. What would be the best algorithm to compress this? I tried the deflate algorithm but that gives me only 50% compression. “ Everyday, we create 2. Huffman in 1952 a Apr 7, 2022 · Each line of "text" was a huge number that was converted from and to binary in the decoding and encoding process. Reconstructs original bitstream B. These are the types of compression that you can specify: CHAR to use the RLE (Run Length Encoding) compression algorithm, which works best for character data. My question is about automatic compression algorithms. 9beta using its best possible compression. Apr 9, 2024 · It can be done in two ways- lossless compression and lossy compression. However, the extremely high data rate required for data transfer from sensors (e. One of the key features of BWT is its ability to group together similar characters in a string, which is a key factor in achieving efficient compression. To apply Binary Search algorithm: The data structure must be sorted. In this work, we introduce HLRcompress, a high-performance, parallel implementation of an algebraic data compression using hierarchical low-rank (HLR) approximations with additional binary compression based on ZFP on various hardware platforms. I have seen for example An Efficient Compression Code for Text Databases. Access to any element of the data structure should take constant time. Keywords- algorithms; data compression; j-bit encoding; JBE; lossless. Because of this, they use a higher number of bits compared to lossy algorithms. Since most compression algorithms are lossy, some information or data may be lost during compression, leading to lower accuracy or quality of data. It was then time to look at the compression speed. Aug 23, 2021 · In this blog post, we explain Zstandard (ZSTD), a fast data compression algorithm that offers best-in-kind performance, in a way that is super simple to understand. 034s: 167M: zstd: c --zstd -f: zstd uses 1 core by default. To this end, we propose the use of a tree-based optimization algorithm, which searches for the best partitions of the input image into non-uniform blocks, and for the best combination of scan directions, with The script outputs a message indicating that the Json data has been compressed and saved. Yenc uses almost the full 0x00 to 0xFF range, each byte in the binary input simply copied to the text output, escaping only 0x00, 0x0A and 0x0D (and the escape character itself, which I don't remember what that was exactly). Smaller file sizes can improve data locality and reduce I/O In our pursuit of developing a lossless image compression scheme that performs better than all other schemes over all types of images, is amenable for rigorous performance analysis, and can provided guaranteed compression for a given type of images, we step back and ask the most basic question related to image compression: where does the information lie in an image? Apr 23, 2019 · ・Parkinson’s law: data expands to fill space available. Compression is an important component of the solutions available for Sep 11, 2023 · Huffman coding is a popular algorithm used for the lossless data compression. If you use LZMA2 with more than 2 threads, 7-zip splits data to chunks and compresses these chunks independently (2 threads per each chunk). Apr 9, 2009 · This problem is common to all compression algorithms, and reason is, compression algorithms learn from past data how to compress future data. Binary data B we want to compress. May 8, 2017 · You might be able to build a compression algorithm that compresses one type of file well, at the cost of compressing others worse. h, and either heatshrink_encoder. -- In the quest for efficient data storage and transfer, compression algorithms play a pivotal role. Say, files with one hour of sensor data are small enough; then you just save one (compressed) file per hour. But at the beginning of a new data set, there is no "past" to build upon. Try the following: First, if possible, sort the tuples in ascending order. Methods we've tried so far are using run length encoding, then a huffman coding, then converting the binary data to base64, and run length encoding but differentiating between zero and one using numeric values for one and alphabetical equivalents for zero (seems to give the best results). The model can be fit using Bayesian methods and can be fit also using EM (Expectation Maximization). What file compression format/algorithm has the best compression ratios (mainly for binary files of various types)? Compression and decompression time is irrelevant as this is for cold storage, and I have 36 GB of RAM. Unfortunately, managing, analyzing and specifically storing these large amounts of data become a major scientific challenge for bioinformatics. Zlib is a widely-used software library for data compression. LZ4 is lossless compression algorithm, providing compression speed > 500 MB/s per core, scalable with multi-cores CPU. In computer science and information theory, a Huffman code is a particular type of optimal prefix code that is commonly used for lossless data compression. BZip2 Aug 20, 2022 · Hi, I deal with compression of compiled binary data and am always looking to get it better. zstd 1m18. However, several compression programs and models are available on the ZPAQ page. This paper examines the performance of a set of lossless data compression algorithm, on different form of text data, implemented to evaluate the performance in compressing text data. In a distributed environment, large data files remain a major bottleneck. You should look into the Lempel-Ziv family of compression algorithms. I. 11. The very high speed hardware description language (VHDL) modeling environment of Lempel-Ziv-Welch (LZW) algorithm for binary data compression is presented to ease the description, verification, simulation and hardware realization of the algorithm. 5 times faster. The best was: *. Ex. Jun 21, 2023 · Use appropriate compression: Consider factors such as compression ratio, decompression speed, and CPU overhead to choose the best compression algorithms for your workflow. That brought 1,5GB of data down to 313MB. Example, integer, character, etc. D. , 1998). If a non-zero number is specified, zstd uses that Mar 14, 2024 · What are these magical time-series compression algorithms? First of all, they’re not magic, but clever computer science techniques. May 21, 2024 · Compression Speed: LZW compression can be slower than some other compression algorithms, particularly for large files, due to the need to constantly update the dictionary. The decompression is performed when the binary data is sent to the receiving end. Data Compression is the technique through which, we can reduce the quantity of data, used to represent content without excessively reducing the quality of the content. Long Range ZIP (lrzip) is an efficient data compression program for Linux that aims to optimize large binary files. tfu fmlxf tjmack znjjfmx mqrbjy yctl sbnamfb xbpaqw vbpdwl iapljdh