decompress | Extracting archives | Compression library

 by   kevva JavaScript Version: 4.2.1 License: MIT

kandi X-RAY | decompress Summary

kandi X-RAY | decompress Summary

decompress is a JavaScript library typically used in Utilities, Compression, Nodejs applications. decompress has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can install using 'npm i decompress' or download it from GitHub, npm.

Extracting archives made easy.

            kandi-support Support

              decompress has a low active ecosystem.
              It has 370 star(s) with 51 fork(s). There are 12 watchers for this library.
              It had no major release in the last 12 months.
              There are 38 open issues and 46 have been closed. On average issues are closed in 98 days. There are 3 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of decompress is 4.2.1

            kandi-Quality Quality

              decompress has 0 bugs and 0 code smells.

            kandi-Security Security

              decompress has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              decompress code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              decompress is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              decompress releases are available to install and integrate.
              Deployable package is available in npm.
              Installation instructions are not available. Examples and code snippets are available.

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            Get all kandi verified functions for this library.

            decompress Key Features

            No Key Features are available at this moment for decompress.

            decompress Examples and Code Snippets

            Decompress compressed data .
            pythondot img1Lines of Code : 28dot img1License : Permissive (MIT License)
            copy iconCopy
            def decompress_data(data_bits: str) -> str:
                Decompresses given data_bits using Lempel–Ziv–Welch compression algorithm
                and returns the result as a string
                lexicon = {"0": "0", "1": "1"}
                result, curr_string = "", ""
            Decompress a tar file .
            pythondot img2Lines of Code : 19dot img2License : Permissive (MIT License)
            copy iconCopy
            def decompress(tar_file, path, members=None):
                Extracts `tar_file` and puts the `members` to `path`.
                If members is None, all members on `tar_file` will be extracted.
                tar =, mode="r:gz")
                if members   
            Decompress the byte array
            javadot img3Lines of Code : 5dot img3License : Permissive (MIT License)
            copy iconCopy
            public static String decompress(byte[] body) throws IOException {
                    try (GZIPInputStream gzipInputStream = new GZIPInputStream(new ByteArrayInputStream(body))) {
                        return IOUtils.toString(gzipInputStream, StandardCharsets.UTF_8);
            How to choose different Lambda function while Start Streaming to Amazon Elasticsearch Service
            JavaScriptdot img4Lines of Code : 247dot img4License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            // v1.1.2
            var https = require('https');
            var zlib = require('zlib');
            var crypto = require('crypto');
            var endpoint = '';
            exports.handler = function(input, context) {
                // decode input from base64
            Is it possible to extract contents of a Cloudwatch log from a subscription
            JavaScriptdot img5Lines of Code : 25dot img5License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            var zlib = require('zlib');
            exports.handler = function(input, context) {
                // decode input from base64
                var zippedInput = new Buffer.from(, 'base64');
                // decompress the input
                zlib.gunzip(zippedInput, functi
            NodeJS; Gulp download files from SFTP
            JavaScriptdot img6Lines of Code : 14dot img6License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            const gulp = require('gulp');
            const download = require("gulp-download");
            const decompress = require('gulp-decompress');
            const url = '';
            gulp.task('unzip', function () {

            Community Discussions


            Deflate floating point data bytes encoded as Base64
            Asked 2022-Apr-02 at 06:07

            Good Day!

            I would like ask for your help on decompressing String back to its original data.

            Here's the document that was sent to me by the provider.

            Data description

            First part describes the threshold data.

            All data are managed as Little Endian IEEE 754 single precision floating numbers. Their binary representation are (represented in hexadecimal data) :

            Compressed data (zip) Threshold binary data are compressed using the ‘deflate’ algorithm. Each compression result is given here (represented in hexadecimal data) :

            Thresholds: $63 00 03 05 47 24 DA 81 81 A1 C1 9E 81 61 01 98 06 00

            Encoded data (base64) Threshold compressed data are encoded in ‘base64’ to be transmitted as ASCII characters. Each conversion results is given here (represented in hexadecimal data) :

            Thresholds: $59 77 41 44 42 55 63 6B 32 6F 47 42 6F 63 47 65 67 57 45 42 6D 41 59 41

            Here is the output frame (Manufacturer frame content) The thresholds data are then sent using their corresponding ASCII character Here is the resulting Histogram ASTM frame sent :


            As explained in above details, what I want to do is backwards.

            The packets that we received is


            then from there convert it to Hex value Base64 which is the output is.

            Thresholds: $59 77 41 44 42 55 63 6B 32 6F 47 42 6F 63 47 65 67 57 45 42 6D 41 59 41

            This first part was already been implemented using this line of codes.



            Answered 2022-Mar-23 at 16:03

            Your input string is a base64 encoded array of bytes, representing a compressed (deflated) sequence of floating point values (float / Single).

            An example:



            How do I parse large compressed csv files in Foundry?
            Asked 2022-Mar-09 at 20:44

            I have a large gziped csv file (.csv.gz) uploaded to a dataset that's about 14GB in size and 40GB when uncompressed. Is there a way to decompress, read, and write it out to a dataset using Python Transforms without causing the executor to OOM?



            Answered 2022-Mar-09 at 20:44

            I'm going to harmonize a few tactics in answering this question.

            First, I want to write this using test-driven development using the method discussed here since we are dealing with raw files. The iteration speed on raw files using full checks + build will be far too long, so I'll start off by creating a sample .csv file and compressing it for much faster development.

            My sample .csv file looks like the following:

            I then compressed it using command-line utilities and added it to my code repository by cloning the repository to my local machine, adding the file to my development branch, and pushing the result back up into my Foundry instance.

            I also made a test directory in my repository as I want to ensure my parsing logic is properly verified.

            This resulted in my repository looking like the following:

            Protip: don't forget to modify your and build.gradle files to enable testing and specifically package up your small test file.

            I also need to make my parsing logic sit outside my my_compute_function method so that its available to my test methods, so looks like the following:



            .NET 6 failing at Decompress large gzip text
            Asked 2022-Feb-01 at 10:43

            I have to decompress some gzip text in .NET 6 app, however, on a string that is 20,627 characters long, it only decompresses about 1/3 of it. The code I am using code works for this string in .NET 5 or .NETCore 3.1 As well as smaller compressed strings.



            Answered 2022-Feb-01 at 10:43

            Just confirmed that the article linked in the comments below the question contains a valid clue on the issue.

            Corrected code would be:



            Is there any workaround for .Net 6 System.IO.Compression issue. DeflateStream.Read method works incorrect in .Net 6, but works fine in older versions
            Asked 2022-Jan-25 at 08:42

            Here is the code from the real project, adopted for the question, so some data is hardcoded:



            Answered 2022-Jan-25 at 08:42

            There was a breaking change to the way DeflateStream operates in .NET 6. You can read more about it and the recommended actions in this Microsoft documentation.

            Basically, you need to wrap the .Read operation and check the length read versus the expected length because the operation may now return before reading the full length. Your code might look like this (based on the example in the documentation):



            Boost gzip how to output compressed string as text
            Asked 2022-Jan-07 at 18:23

            I'm using boost gzip example code here. I am attempting to compress a simple string test and am expecting the compressed string H4sIAAAAAAAACitJLS4BAAx+f9gEAAAA as shown in this online compressor



            Answered 2022-Jan-07 at 18:23

            The example site completely fails to mention they also base64 encode the result:



            How do I decode zlib stream in Go?
            Asked 2021-Dec-30 at 22:28
            What is the issue?

            I cannot decode valid compressed chunks from zlib stream using go's zlib package.

            I have prepared a github repo which contains code and data illustrating the issue I have:

            What are those chunks?

            They are messages generated by a text game server (MUD). This game server send compressed stream of messages in multiple chunks, first of which contains zlib header and others do not.

            I have captured two chunks (first and second) with a proxy called "mcclient", which is a sidecar to provide compression for MUD clients that do not support compression. It is written in C and uses C zlib library to decode compressed chunks.

            Chunks are contained in "chunks" directory and are numerated 0 and 1. *.in files contain compressed data. *.out contain uncompressed data captured from mcclient. *.log contain status of zlib decompression (return code of inflate call).

            A special chunk is chunk 0 concatenated with chunk 1.

            Why do I think they are valid?
            1. mcclient successfully decompresses input chunks with C's zlib without any issues. *.log status shows 0 which means Z_OK which means no errors in zlib parlance.
            2. zlib-flate -uncompress < chunks/ works without any errors under Linux and decompresses to same content. Under Mac OS it also decompresses to same content, but with warning zlib-flate: WARNING: zlib code -5, msg = input stream is complete but output may still be valid — which look as expected because chunks do not contain "official" stream end.
            3. Python code in correctly decompresses with both and 0/1 chunks without any issues.
            What is the issue with go's zlib?

            See main.go — it tries to decompress those chunks, starting with and then trying to decompress chunks 0 and 1 step by step.

            An attempt to decode (func all()) somewhat succeeds, at least decompressed data is the same, but zlib reader returns error flate: corrupt input before offset 446.

            When trying real-life scenario of decompressing chunk by chunk (func stream()), zlib reader decodes first chunk with expected data, but returning an error flate: corrupt input before offset 32, and subsequent attempt to decode chunk 1 fails completely.

            The question

            Is it possible to use go's zlib package in some kind of "streaming" mode which is suited for scenario like this? Maybe I am using it incorrectly?

            If not, what is the workaround? Also it would be interesting to know, why is that so — is it by design? Is it just not implemented yet? What am I missing?



            Answered 2021-Dec-30 at 22:28

            Notice that error is saying that the data at an offset after your input is corrupt. That is because of the way your are reading from the files:



            How to read & decode Secure QR code on Indian Aadhaar Card image
            Asked 2021-Dec-24 at 07:25

            I am trying to extract the complete Aadhar number (12 digits) from the image of an Aadhar card (India)

            I am able to identify the region with QR code. To extract the info - I have been looking into python libraries that read and decode Secure QR codes on Indian Aadhaar cards. These 2 libraries seem particularly useful for this use case:

            1. pyaadhaar
            2. aadhaar-py

            I am unable to decode Secure QR code using them on Aadhaar cards. Information on Secure QR code is available here. Please recommend possible resolutions or some other methods to achieve this task

            Here is my code for decoding secure QR code using these libraries. Python version: 3.8



            Answered 2021-Sep-20 at 09:33

            For anyone who needs to extract a clean QR code ROI before actually decoding it, here's a simple approach to extract the QR code using thresholding, morphological operations, and contour filtering.

            1. Obtain binary image. Load image, grayscale, Gaussian blur, Otsu's threshold

            2. Connect individual QR contours. Create a rectangular structuring kernel with cv2.getStructuringElement() then perform morphological operations with cv2.MORPH_CLOSE.

            3. Filter for QR code. Find contours and filter using contour approximation, contour area, and aspect ratio.

            Here's the image processing pipeline

            Load image, grayscale, Gaussian blur, then Otsu's threshold to get a binary image

            Now we create a rectangular kernel and morph close to combine the QR code into one contour

            We find contours and filter for the QR code using contour area, contour approximation, and aspect ratio. The detected QR code is highlighted in green

            Extracted ROI




            Opening a file using python
            Asked 2021-Nov-30 at 21:56

            I am trying to read the data from a drawing using python.

            Apparently the format is an xml with some portions in "mxfile" encoding.

            (That is, a section of the xml is deflated, then base64 encoded.)

            Here's the official TFM:

            And their online decoder tool:

            So i try to decode the mxfile portion using the standard python tools:



            Answered 2021-Nov-30 at 21:56


            Cassandra : memory consumption while compacting
            Asked 2021-Nov-19 at 16:18

            I have ParNew GC warnings into system.log that go over 8 seconds pause :



            Answered 2021-Nov-19 at 16:18

            a. how many rows must fit into memory (at once!) during compaction process ? It is just one, or more ?

            It is definitely multiple.

            b. while compacting, does each partition is read in decompressed form into memory, or in compressed form ?

            The compression only works at the disk level. Before compaction can do anything with it, it needs to decompress and read it.

            c. do you think the compaction process in my case could fill up all the heap memory ?

            Yes, the compaction process allocates a significant amount of the heap, and running compactions will cause issues with an already stressed heap.

            TBH, I see several opportunities for improvement with the GC settings listed. And right now, I think that's where the majority of the problems are. Let's start with the new gen size:



            Is there some pipe operator to last argument or a way to define it in F#?
            Asked 2021-Nov-16 at 14:59

            I want a piping operator able to pipe as last parameter. For example, with this definitions:



            Answered 2021-Nov-16 at 14:59

            OK, I think I figured this out. The operator you're describing is basically an infix version of what's usually called flip:


            Community Discussions, Code Snippets contain sources that include Stack Exchange Network


            No vulnerabilities reported

            Install decompress

            You can install using 'npm i decompress' or download it from GitHub, npm.


            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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