decompress | Extracting archives | Compression library
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kandi X-RAY | decompress Summary
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of decompress
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decompress Examples and Code Snippets
Lines of Code : 28License : Permissive (MIT License)
Copydef 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 = "", ""
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 = tarfile.open(tar_file, mode="r:gz")
if members public static String decompress(byte[] body) throws IOException {
try (GZIPInputStream gzipInputStream = new GZIPInputStream(new ByteArrayInputStream(body))) {
return IOUtils.toString(gzipInputStream, StandardCharsets.UTF_8);
// v1.1.2
var https = require('https');
var zlib = require('zlib');
var crypto = require('crypto');
var endpoint = 'search-my-test.us-west-2.es.amazonaws.com';
exports.handler = function(input, context) {
// decode input from base64
var zlib = require('zlib');
exports.handler = function(input, context) {
// decode input from base64
var zippedInput = new Buffer.from(input.awslogs.data, 'base64');
// decompress the input
zlib.gunzip(zippedInput, functiconst gulp = require('gulp');
const download = require("gulp-download");
const decompress = require('gulp-decompress');
const url = 'https://potoococha.net/feather.zip';
gulp.task('unzip', function () {
download(url)
.pipe(decompCommunity Discussions
Trending Discussions on decompress
QUESTION
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 :
YwADBUck2oGBocGegWEBmAYA
As explained in above details, what I want to do is backwards.
The packets that we received is
YwADBUck2oGBocGegWEBmAYA
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.
...ANSWER
Answered 2022-Mar-23 at 16:03Your input string is a base64 encoded array of bytes, representing a compressed (deflated) sequence of floating point values (float / Single).
- You can use Convert.FromBase64String() to get the compressed bytes
- Initialize a MemoryStream with this byte array. It's used as the input stream of a DeflateStream
- Initialize a new MemoryStream to receive the deflated content from the DeflateStream.CopyTo() method
- Get a series of 4 bytes from the decompressed array of bytes and reconstruct the original values (here, using BitConverter.ToSingle() and an ArraySegment(Of Byte)).
An example:
QUESTION
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?
...ANSWER
Answered 2022-Mar-09 at 20:44I'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 setup.py 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 parse_gzip.py looks like the following:
QUESTION
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.
...ANSWER
Answered 2022-Feb-01 at 10:43Just confirmed that the article linked in the comments below the question contains a valid clue on the issue.
Corrected code would be:
QUESTION
Here is the code from the real project, adopted for the question, so some data is hardcoded:
...ANSWER
Answered 2022-Jan-25 at 08:42There 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):
QUESTION
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
...ANSWER
Answered 2022-Jan-07 at 18:23The example site completely fails to mention they also base64 encode the result:
QUESTION
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: https://github.com/andreyst/zlib-issue.
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 all.in chunk is chunk 0 concatenated with chunk 1.
mcclientsuccessfully decompresses input chunks with C'szlibwithout any issues.*.logstatus shows0which means Z_OK which means no errors in zlib parlance.zlib-flate -uncompress < chunks/all.inworks without any errors under Linux and decompresses to same content. Under Mac OS it also decompresses to same content, but with warningzlib-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.- Python code in
decompress.pycorrectly decompresses with bothall.inand0/1chunks without any issues.
See main.go — it tries to decompress those chunks, starting with all.in and then trying to decompress chunks 0 and 1 step by step.
An attempt to decode all.in (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.
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?
...ANSWER
Answered 2021-Dec-30 at 22:28Notice 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:
QUESTION
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:
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
...ANSWER
Answered 2021-Sep-20 at 09:33For 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.
Obtain binary image. Load image, grayscale, Gaussian blur, Otsu's threshold
Connect individual QR contours. Create a rectangular structuring kernel with
cv2.getStructuringElement()then perform morphological operations withcv2.MORPH_CLOSE.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
Code
QUESTION
I am trying to read the data from a draw.io 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: https://drawio-app.com/extracting-the-xml-from-mxfiles/
And their online decoder tool: https://jgraph.github.io/drawio-tools/tools/convert.html
So i try to decode the mxfile portion using the standard python tools:
...ANSWER
Answered 2021-Nov-30 at 21:56Try this:
QUESTION
I have ParNew GC warnings into system.log that go over 8 seconds pause :
ANSWER
Answered 2021-Nov-19 at 16:18a. 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:
QUESTION
I want a piping operator able to pipe as last parameter. For example, with this definitions:
...ANSWER
Answered 2021-Nov-16 at 14:59OK, I think I figured this out. The operator you're describing is basically an infix version of what's usually called flip:
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