lzop uses the LZO data compression library for compression services, and its main advantages over gzip are much higher compression and decompression speed (at the cost of some compression ratio).
Give lzop a try to see how useful it can be for compressing data!
Download 🆓 DOWNLOAD
Download 🆓 DOWNLOAD
1. A new fast, space-efficient data compressor for general-purpose use
2. Frequent compression with high-quality output
3. Uncompressed data (when required) can be regenerated efficiently from the output
4. High compression ratio and speed
5. Small, compact, portable (sources are the same size as gzip sources)
6. Customizable; configurable parameters for better compression
There’s a PPC port of VLC, and i’d like to compile it myself.I made an old version of it for the first time, but I’m so rusty with gcc and there’s so much…. Anyway, i’d like to compile it myself and create a “Dev” version of VLC, but I’m a total noob, I just know how to type something in terminal and run, and I don’t know how to port VLC and compile it myself. I found out some info about how to compile VLC on macosx on the forum, but I don’t understand how to apply it to my case…. I’m using a MacBookPro 15”Retina with OSX Mavericks 10.9.3
Thanks a lot for your help, and I apologize for my poor english, I’m from Mexico and I’m learning english but not so well.Q:
Angular 2+ – modify/change data after submit
I have an Angular2 SPA and I’ve encountered a problem.
What I need is to change a data after submitting a form.
I have two tables that depend on each other, I have an entity in table A (the form table) and table B depends on that entity.
I want to change table B data using the form after submitting it.
I am doing this with Angular2+
The problem is when I have a form
“lzop is a command-line compression utility that leverages the speed and compression power of the LZO compression library to compress and decompress files.”
Get the latest version of lzop from
ZFS® ZVOL™ is a data compression technique for Linux® and other file systems. With ZFS ZVOL, data can be compressed and decompressed directly on a file system, without interfering with other data stored on the same device. Compression can be particularly useful for increasing data durability on disks or solid-state drives, and has been employed by vendors such as IBM® and NetApp® for data de-duplication. ZFS ZVOL provides direct compression features at block level, rather than file level, like other ZFS-based file systems. These direct compression features can be used at the daemon level or the block level. You can also incorporate ZFS ZVOL with other ZFS features, such as snapshots and compression.
This presentation provides detailed information about ZFS ZVOL (including why it is useful, how it works, its limitations, and how to use it), as well as how to implement ZFS ZVOL on block devices.
UCUMF is the fastest reversible data compression algorithm in the world. It uses a very simple algorithm, a fast hardware implementation (APLIC) and is built on top of the UCSD p-bit library. The latter is a state-of-the art compression library developed by UC San Diego.
Please try UCUMF live demo!
Introducing deflate C, the strongest and fastest general purpose deflation method with higher compression ratio than deflate64. deflate C has the fastest code based on LZ3 which is 4 times faster than LZ4.
Kraft compression does not provide significant speed-up for high-quality solutions like deflate64, but has the advantage to compress a higher percentage of input data.
Please try deflate C!
A critical missing piece is a fast, general-purpose, extensible, and yet extremely compact error-correction code. When realized, it will make compression faster, decompression faster, and allow the widespread adoption of lossy compression methods in applications like Photoshop and GIMP.
This talk will present a new method for error correction called BEAT (Based on Exponential Arnold Transform) that provably maximizes the compression ratio of a
Compress/LZO-compress a file. Zero (zero) means no compression. Level is a compression level, 0-9. Higher values are better. 0-9, 0 is fastest, 10-99 is better, higher is slower and quality goes down. Default value is 5.
Decompress/LZO-decompress a file. Default value is 3.
You could use the Python lzop module to compress stuff. It’s not a library like gzip but uses zlib functions like compress and decompress.
You can decompress and recompress data using :
inp = ‘input to compress’
infile = open(‘input file’, ‘rb’)
outfile = open(‘output file’, ‘wb’)
for chunk in infile.read(1024):
The original file will be recompressed with the same content as if it had been directly stored in the file but much faster.
Edit: I made a simplification to the original code. I used the first 1024 bytes as an example, the parameter you give to read infile can be larger or smaller.
How to run script in every item on Menu Bar in Windows Taskbar
Actually I have a visual studio solution which I like to go to every items in the taskbar.
For now I have this command in autostart.
Of course it works fine but the problem is for every items it start to run again.
I need to put this command manually at every item of taskbar and change it when there is a new version.
Can anyone help me with this problem?
I found the answer:
I was using this command:
lzop is a fast and efficient general-purpose lossless compression program
which uses the LZO library. This type of compression usually
results in better compression than using either LZ77 or LZF. The data is
stored in files with a.lzo suffix. While lzop is often slower than
gunzip, the compression ratios are similar to the ones obtained by
gunzip. The architecture of lzop is easy to understand and changes
very little over the history of lzop.
lzop is available at:
Also see the application HOWTO by email@example.com. It’s available at
You mean something like this?
The zip libraries I’ve seen all use a fixed algorithm in performing their compression. The zlib uses deflate and inflate to achieve this and lzip uses the Lempel-Ziv.
If you are looking for a different algorithm, like for example, one that would help if the data is broken up into different chunks of a certain size then you could look at something like LZX.
Evaluation of a dose-escalation strategy for classical swine fever patients.
A multicentre study was conducted to evaluate the efficacy of a dose-escalation strategy for the treatment of classical swine fever (CSF) based on previous administration of a’single dose’. Forty-six CSF cases were treated with a pre-emptive dose of 15 ml of a gamma-irradiated, hypervirulent strain of the virus, administered either as a single intramuscular injection or as two intramuscular doses 3 days apart, and followed-up for 7 days. The primary end-point was defined as the time between first injection and the apparent total body weight loss of at least 10%, with the minimum duration of positive signs of CSF set at 10 days. The efficacy of the single-dose strategy was significantly higher (P < 0.001) than that of a strategy that involved two doses of 15 ml of the same strain of gamma-irradiated virus. The latter strategy was also significantly (P
OS: Windows 7, 8, 8.1, 10
Processor: 1.8 GHz Dual-Core CPU
Memory: 1 GB RAM
Graphics: DirectX 9 capable GPU
DirectX: Version 9.0
Network: Broadband Internet connection
Storage: 4 GB available space
Processor: 3.5 GHz Quad-Core CPU
Memory: 4 GB RAM