SQL> create table t1 as select * from dba_objects; Table created. SQL> select dbms_compression.get_compression_type(user, 'T1', rowid) as compression_type, count(*) from t1 group by dbms_compression.get_compression_type(user, 'T1', rowid); COMPRESSION_TYPE COUNT(*) ---------------- ---------- 1 23861 SQL> alter table t1 compress; Table altered. SQL> select dbms_compression.get_compression_type(user, 'T1', rowid) as compression_type, count(*) from t1 group by dbms_compression.get_compression_type(user, 'T1', rowid); COMPRESSION_TYPE COUNT(*) ---------------- ---------- 1 23861 Finally: SQL> alter table t1 move; Table altered. SQL> select dbms_compression.get_compression_type(user, 'T1', rowid) as compression_type, count(*) from t1 group by dbms_compression.get_compression_type(user, 'T1', rowid); COMPRESSION_TYPE COUNT(*) 4096 23861 https://docs.oracle.com/en/database/oracle/oracle-database/19/arpls/DBMS_COMPRESSION.html#GUID-8C9942CA-4EBD-48FF-9E8C-A59BF21A0176__BEIBFCCB 1 - No compression ... 4096 - Basic table compression

The data is not encrypted; it's simply compressed using https://en.wikipedia.org/wiki/Deflate , which isn't directly available in TSQL. TSQL https://docs.microsoft.com/en-us/sql/t-sql/functions/compress-transact-sql?view=sql-server-ver15 uses Gzip, which is similar, but not strictly compatible. So in C# something like: using System.Data.SqlClient; using System.IO; using System.IO.Compression; using var con = new SqlConnection("server=.;database=spmcopy;integrated security=true;multipleactiveresultsets=true"); con.Open(); var cmd = new SqlCommand("select counter, cast(cast([text] as varchar(max)) as varbinary(max)) ZippedText from notescopy where Zipped=1 ", con); var cmdWrite = new SqlCommand("update notescopy set [text] = cast(cast(@t as varchar(max)) as text), Zipped = 0 where counter = @c",con); var ptext = cmdWrite.Parameters.Add(new SqlParameter("@t", System.Data.SqlDbType.VarBinary, -1)); var pCounter = cmdWrite.Parameters.Add(new SqlParameter("@c", System.Data.SqlDbType.Int)); using var reader = cmd.ExecuteReader(); while (reader.Read()) { pCounter.Value = reader.GetInt32(0); var compressedStream = reader.GetStream(1); var dest = new MemoryStream(); var decompressedStream = new DeflateStream(compressedStream, CompressionMode.Decompress); decompressedStream.CopyTo(dest); dest.Position = 0; ptext.Value = dest.ToArray(); cmdWrite.ExecuteNonQuery(); } Also, it looks like you can prepend a standard 10-byte header to the Deflate stream to make it GZip compatible, so select cast(decompress(cast(0x1F8B0800000000000400 as varbinary(max)) + cast(cast([text] as varchar(max)) as varbinary(max))) as varchar(max)) d from notescopy As it looks like DECOMPRESS ignores the CRC32 and ISIZE trailer fields if they are absent, which is http://www.zlib.org/rfc-gzip.html#file-format but not mandatory decompressor behavior.

One of compromises you make by enabling TDE is with size of compressed backups. If you use TDE, you won't get much out of backup compression feature because all pages will be having unique data now due to encryption algorithm and as it is hard to compress unique data - you are getting 1:1 compression ratio after you enabled TDE, which is expected too. The reason why you still see 4:1 compression with INIT (append) is probably because old backup file was of size x MB, and since DB was recently encrypted - it does not have that much amount of new data (let's assume you have got y MB of data after TDE), so you get backup file size should be x (with 4:1 ratio) + y (with 1:1 ratio). However, if you use NOINIT - SQL Server will overwrite all data on backup media file - so your previously compressed data (with 4:1 ratio) gets overwritten too. And you get 1:1. Hope this helps!

APK files are usually only compressed using the compression setting "fast" (fastest (de)compression, only small space gained by compression). As far as I know this is for historical reasons. The first Android device were pretty slow and app installation time was already talking a lot of time. Therefore I assume Google decided to build all the Android developer tools in a way that the compression is focused of maximum speed and not on APK minimum size. As Google does not really have to care about size of cloud storage or bandwidth of network traffic this was the best solution. For that reason most Android build tools still only use the fast compression. Modern APK files e.g. generated by Google use a higher compression so the gain should be not that high anymore. But this depends on the app and who you got the APK file. Furthermore there are certain APK options which enforce that all the native libraries (.so files) have to stay unencrypted, if the app declares android:extractNativeLibs="false. Effectively this will save space in the end as the native libraries are not extracted from the APK file, instead they are directly used within the APK file, which means you only need to save it once on your device instead of two times (one time compressed in the APK, one time extracted). There are articles that describe how to recompress an APK file. Please be aware that these articles are very old and do no longer work with recent APK fiels and devices. This is because of the APK https://source.android.com/security/apksigning/v2 and v3 that do not only sign the decompressed content of the APK file (as v1 did) but instead they sign the APK file as a whole. So any modification to the APK file even if it does not affect the content (like adding a ZIP comment) will destroy the contained APK v2/v3 signature. As the v1 signature contains the info that there is a v2 signature all devices capable of checking a v2 signature will also reject such a modified APK file. Conclusion: On some APK file you could save some additional space by recompressing them but in nearly all cases it will today destroy the APK signature so it is not really an option.

There is a flaw in WinRaR that has only recently been discovered, (CVE-2021-35052). Accessing any content within a compressed structure requires decompressing (or opening) the structure, even if you are only looking at a single file. In principle, barring exploits like this, it should be safe, but it turns out it may not be in this case. There is an update patch available for Winrar, there are other Rar programs, but there is never a guarantee.

To transform the row from zeros and connectors into bayta that can be recorded in the file:>>> bitstring = '1100000001010' >>> n = int(bitstring, 2) >>> n.to_bytes((n.bit_length() + 7) // 8, 'big') b'\x18\n' https://stackoverflow.com/q/7396849/4279

Server sends compressed data only if the compression is on the client's side. For example, the client at GET/POST request Request Transmitted: Accept-Encoding: gzip, deflate, lzma, sdch Then the server can squeeze the data and send it. But that's it. Response He will report what compression method was used: Content-Encoding: gzip API StackOverflow, why ignores the user ' s request and compresses gzip All the data, so the problem is on the server's side, you only have to archive data every time.

TypeScript is a transpier, a superstructure over JavaScript, its purpose is to write a more beautiful code if it's very rude. Unfortunately, it's not much he can do for you.What you're talking about is collecting files, minimizing them is called a collector. There's a famous javascript in the world. http://gulpjs.com/ they, to the extent I know, use most js programmers. I can't consult him because I'm working in another field, but I can guarantee that he can handle these tasks, as far as I know, TypeScript is calmly compiling in js, you just need to put a flame.AboutUltimately, the big file that's received needs to be used not entirely at all, but on a certain page, only some part of it. For example, for the product &apos; s page to create a product class and skirt only its and cat events, it defines, but on the page, everything in the product should not be summoned and should not be bindered, so that it has its class.There are two decisions here. First - js-way is AMD, Asynchronous Module Definition in Link http://requirejs.org/docs/whyamd.html ♪ You're just saying in the violin that he needs, and he pulls the necessary files himself. So you can only be loaded by requiring.js and a file with your own bindes, and there's a chain of custody through the bind violin. This creates a cloud of requests, but it's a real js-approach that ensures uniformity.The second solution is a collection on the server's side that requires certain things from the server (e.g., https://github.com/kriswallsmith/assetic ) The page simply indicates which files should be collected and handed over, for example, Symfony can do this:{% javascripts filter="coffee" filter="uglifyjs2" "/app/legacy.js" "/app/modern.coffee" output="/app/combined.js" %} <script type="text/javascript" src="{{ asset_url }}"></script> {% endjavascripts %} It's very cool and uncool at the same time. From the pros:Absolute flexibility in modulesOne request from frontline to serverFrom minus:Beckend is starting to run the front.Front Frontedou has to think about how to turn around if the file doesn't prove necessary.I would therefore recommend a first approach.And finally the third. Since it's refacturing, why don't we go any further and use a real frimetre (e.g.) http://emberjs.com/ ? He himself will monitor and respond to the necessary elements on the page, destroying the 90 per cent Band problem.

They come into the head.The first 5 battles of the bloc indicate how many battles are increments (5 bats block 4 bayta within the limit), the given number of battles is stored increments.So any increment will be reduced to 6-37 bats.I don't know what's going on.But with separate battles, it doesn't work very well.Another option with whole Byte storage:The service block of two bats holds as many whole baytes increment (00-1, 01-2, 10-3, 11-4).If the last two bats are 10 bats, it's the end of the service block.Accordingly, if a three-byte increment in this position is to be identified, it has to be retained in four Bayts instead of the three desired.

I don't get it. ♪ s Do you have all eight battles that mean or one battle or s = '1' or '0' i.e. symbols?If everyone's important, just write. s file (and no cycle with buf No need. If s is ASCII code number 0, 1, buf = buf | ((s - '0') << (7 - count));

Group coding is a Russian term for Run Length Encoding (RLE) algorithm-- https://ru.wikipedia.org/wiki/%D0%9A%D0%BE%D0%B4%D0%B8%D1%80%D0%BE%D0%B2%D0%B0%D0%BD%D0%B8%D0%B5_%D0%B4%D0%BB%D0%B8%D0%BD_%D1%81%D0%B5%D1%80%D0%B8%D0%B9 ♪

https://ru.wikipedia.org/wiki/Deflate - compression algorithm without loss. This algorithm is considered free of all existing patents and is implemented in many open-source libraries. https://www.zlib.net/ is the most known and used library with the standard implementation of this algorithm. The library provides both compression and data-packing functions and data format, called similar - zlib♪ The zlib format is quite simple and consists of three parts:Heading (2 baths) 0x78♪ 0x9c);Compressed algorithm deflate;Reference amount (4 bayta, https://ru.wikipedia.org/wiki/Adler-32 ) https://www.gzip.org/ - Utilita and format Compression of data by the algorithm deflate. The gzip format is somewhat more complex:Heading (10 Byte, first 2: 0x1f♪ 0x8b);Compressed algorithm deflate;control amount (4 bayth, crc32);Uncompressed data (4 bath).Next, in the title description Content-Encoding In HTTP 1.1 that:Content-Encoding: gzip Data in gzip format;Content-Encoding: deflate - data zlib format♪And there's a confusion and an early implementation of the web server. https://ru.wikipedia.org/wiki/Internet_Information_Services Customer request Accept-Encoding: deflate They gave raw data (raw): naked deflate without any headings, not zlib format (headline and reference amount). And the browsers had to learn how the data came, zlib or raw deflate.If that confusion was not the case, it was likely that deflate (which zlib) would be preferable, since it had a smaller overhead to the size of the headings (gzip by 12 Byte more) and a faster algorithm of the reference amount, but because of confusion, it would be better to limit only gzip to the format. Well, if you decide to turn on the deflate, you'll make sure that your server provides data in zlib format. https://stackoverflow.com/questions/9170338/why-are-major-web-sites-using-GZIP/9186091#9186091 (Why are the main websites using gzip?)

PNG, GIF, PCX, BMP RLE, TIFF LZW. That's what I remembered. Everyone has their dignity and shortcomings. Much depends on the nature of the images.

You don't have to keep a tree. You can just keep the counters for each symbol at the beginning of the file, and the tree can be rebuilt before the decoding. If you keep 8 byte, you'll need 8B * 256 = 2KiB, which is not much.UPDIf 2KiB is pathetic, the enumerators may be stored more compactly. For example, introduce the following format for the counter: prefix + counter. The prefix is a three-bit whole number equal to the size of the counter in the whites. Examples:The counter is 0. Maintains 1,000 (3 bat).The invoice is 222. retained at 00111011110 (11 battles).The counter is 1024. Maintained at 0100010000000 (19 battle).This is the value of the retained data for the n counter will be seil(ceil(log_2(n)) / * 8 + 3 battles.UPD2I've come up with another way that I think is better than the previous one. For starters, I'm gonna use the tree algorithm:nodes = [Node(WEIGHT[c], c) for c in ALPHABET].sort(reverse=True) while nodes.size() != 1: l, r = nodes[0:2] nodes = nodes[2:] new_node = create_node_with_children(l, r) insert_index = 0 if nodes.size() > 1: # на 2-x последних шагах уже не важен порядок while insert_index < nodes.size() and nodes[insert_index].weight > new_node.weight: insert_index += 1 nodes[insert_index:insert_index] = [new_node] If you look carefully at the code, you can understand that in order to restore the tree's topology, it's enough for us to know the beginning of the symbols in the first place. nodes and insert_index every step. We'll count how much memory we need.The initial reset will require 255 Byte (the first/last symbol may not be stored but be obtained by exception).It is further noted that the number of algorithms is fixed (255) and i-itheration (from zero) insert_index is within the range [0, 255 - i), so we can spend less battle on storage at late stages. insert_index♪ Specifically: i | число бит на индекс [0, 127) | 8 [127, 191) | 7 [191, 223) | 6 [223, 239) | 5 [239, 247) | 4 [247, 251) | 3 [251, 253) | 2 [254, 256) | 0 // тут не надо ничего сохранять For the storage of box indices, 127 * 8 + 64 * 7 + 32 * 6 + 16 * 5 + 8 * 4 + 4 * 3 + 2 * 2 = 1784 beat = 223 Byte.The total is 255 + 223 = 478 Byte, the number not dependent on the size of the input data, different from the method described above.

Try using this exclusion block:try: output_file.write(pack('>H', int(data))) except struct.error: output_file.write(pack('>I', int(data))) https://github.com/google/enjarify/issues/36

In the algorithm, lzw is expanding alphabet. For example, in place of 8 battles, 16 are used on the symbol, while 16 are coding some sequence of symbols.I mean, the bcd line, which initially weighed four bikes, will weigh twice as much (that is, there is no repetitive symbol and it is impossible to expand alphabet). Compression will only be visible on large data and the more repetitive series of symbols, the more effective the compression will be.

This problem has been discussed here many times, but you just need to recognize it. Replace the initial list with the following:field = [[0] * new_size for _ in range(new_size)] The problem with your initialization is that the second multiplication does not create new lists, but clones a reference to the same list many times. As a result, any change in one of the lists is immediately reflected in all the other lists, which is the same list.There's no problem with the first multiplication, because 0 - it's a scallar and it creates a normal list of values, not references.Your checks, by the way, can be greatly reduced (and speed up, the checks will be performed before the first success): field[x][y] = any(( is_pixel_active(canvas, _x, _y), is_pixel_active(canvas, _x+1, _y), is_pixel_active(canvas, _x, _y+1), is_pixel_active(canvas, _x+1, _y+1) )) And the operation you're doing is called poolingThere's a plague in neuronets, particularly in the library. Keras♪

https://github.com/facebook/zstd That's how it works. First, you teach him to use the example, then to fight.Compression with dictionary:Establishment of a dictionary:zstd --train FullPathToTrainingSet/* -o dictionaryName Compression with dictionary:zstd -D dictionaryName FILE Dictionary:zstd -D dictionaryName --decompress FILE.zst

There was a problem in orientation, namely imagecreate fromjpeg ignores the strategy of orientation. This code solves the problem:if (in_array($file_mime, ['image/jpeg', 'image/png'])) { switch ($file_mime) { case 'image/jpeg': $image = imagecreatefromjpeg($target_directory . '/' . $filename); $exif = exif_read_data($target_directory . '/' . $filename); if ($image && $exif && isset($exif['Orientation'])) { $ort = $exif['Orientation']; if ($ort == 6 || $ort == 5) { $image = imagerotate($image, 270, 0); } if ($ort == 3 || $ort == 4) { $image = imagerotate($image, 180, 0); } if ($ort == 8 || $ort == 7) { $image = imagerotate($image, 90, 0); } if ($ort == 5 || $ort == 4 || $ort == 7) { imageflip($image, IMG_FLIP_HORIZONTAL); } } break; case 'image/png': $image = imagecreatefrompng($target_directory . '/' . $filename); break; } imagejpeg($image, $target_directory . '/' . $filename, 60); }

It's a BMP, it only chews a change in colors. A PNG or JPG, in the extreme case of TIFF, can be compressed and optimized.