Why can't Safari 13.1 (Catalina) represent specific Unicode characters?

Since I updated to MacOS Catalina (10.15.4) I realized that Safari (13.1) can no longer render my lovely black truck. If I inspect this item in the developer console or copy the character into the address bar, everything is showing perfectly fine, but in web view, only the white square is showing. The same problem exists in 2 other Catalina machines, but not in the 10.14 and 10.13 Safaris.

Any known bug / problem about this phenomenon?

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power management – iMac 21.1 -2012 (Model 13.1)

everything and thanks for reading.

I have problems with my iMac 21.5 "-2012 (model 13.1)
the machine does not start normally, I put osx Catalina, Maverick, High sierra and it is the same, the fan turns on to the maximum from the beginning and the start is long 6 minutes and it is very slow, I change the HDD the SSD and nothing. Does anyone know what I can repair if someone thinks I should manipulate to make the iMac the same as before? Thank you

php: MediaWiki was updated to version 1.31. Now the blacklist of spam and the blacklist of titles are causing errors

I had (I think) version 1.23 because that's what my host's automatic installer put there. So I loaded the files for 1.31 and ran the update.php script. The site seemed to work fine until I tried to save an edition, at that time I got this error:

enter the description of the image here

I disabled all extensions, which stopped the error, and then re-enabled them one by one, and discovered that the two that caused errors were Spam Blacklist and Title Blacklist. I confirmed that they were the most recent versions, so that is not the problem. Does anyone know about this problem?

Algorithms – Search / Hashing Wikipedia – in each position for keys 1..31 long, the fastest way?

A C encoder here.

My desire is to find the best way to search for words and phrases within the constantly growing English Wikipedia dump. As a first layer / step, hash is the answer, yes?
The problem is that the last dump has a size of about 72 GB. I would appreciate the most experienced programmers who share their vision on the matter.

As an amateur, an old dream of mine is to have the ability to automatically complete (have a predictor) any Latin fragment (1.31 bytes long) within a given text. This would help tremendously when one has to instantly verify if the written English text appears within a given corpus. Still, far from the goal.

Since speed is the most sought property (only exceeded by scattering, speaking of hash tables up to 32 bits adjustable in RAM), I raised the granularity / order of FNV-1A from 1 octet to 8 octets, that is, QWORD – the result – FNV1A_Pippip, the Y axis is the hashes / s:

enter the description of the image here

For example, I did a quick test with enwik9 (the first 1,000,000,000 bytes of Wikipedia XML dump) using the first power of 2 larger than ALL POSITIONS, that is, 30-bit hash table:

iSCSI CRC32 : All Keys 1 bytes; Hash_Collisions = (Distinct_Keys - Used_Slots): 0 = (206 - 206)
FNV1A_Pippip: All Keys 1 bytes; Hash_Collisions = (Distinct_Keys - Used_Slots): 0 = (206 - 206)
WYHASH_v3   : All Keys 1 bytes; Hash_Collisions = (Distinct_Keys - Used_Slots): 0 = (206 - 206)
XXH3        : All Keys 1 bytes; Hash_Collisions = (Distinct_Keys - Used_Slots): 0 = (206 - 206)

iSCSI CRC32 : All Keys 2 bytes; Hash_Collisions = (Distinct_Keys - Used_Slots): 0 = (22,664 - 22,664)
FNV1A_Pippip: All Keys 2 bytes; Hash_Collisions = (Distinct_Keys - Used_Slots): 0 = (22,664 - 22,664)
WYHASH_v3   : All Keys 2 bytes; Hash_Collisions = (Distinct_Keys - Used_Slots): 0 = (22,664 - 22,664)
XXH3        : All Keys 2 bytes; Hash_Collisions = (Distinct_Keys - Used_Slots): 0 = (22,664 - 22,664)

iSCSI CRC32 : All Keys 3 bytes; Hash_Collisions = (Distinct_Keys - Used_Slots): 0 = (491,817 - 491,817)
FNV1A_Pippip: All Keys 3 bytes; Hash_Collisions = (Distinct_Keys - Used_Slots): 79 = (491,817 - 491,738)
WYHASH_v3   : All Keys 3 bytes; Hash_Collisions = (Distinct_Keys - Used_Slots): 108 = (491,817 - 491,709)
XXH3        : All Keys 3 bytes; Hash_Collisions = (Distinct_Keys - Used_Slots): 100 = (491,817 - 491,717)

iSCSI CRC32 : All Keys 4 bytes; Hash_Collisions = (Distinct_Keys - Used_Slots): 9,499 = (3,222,263 - 3,212,764)
FNV1A_Pippip: All Keys 4 bytes; Hash_Collisions = (Distinct_Keys - Used_Slots): 4,722 = (3,222,263 - 3,217,541)
WYHASH_v3   : All Keys 4 bytes; Hash_Collisions = (Distinct_Keys - Used_Slots): 4,807 = (3,222,263 - 3,217,456)
XXH3        : All Keys 4 bytes; Hash_Collisions = (Distinct_Keys - Used_Slots): 4,752 = (3,222,263 - 3,217,511)

iSCSI CRC32 : All Keys 5 bytes; Hash_Collisions = (Distinct_Keys - Used_Slots): 47,509 = (11,375,257 - 11,327,748)
FNV1A_Pippip: All Keys 5 bytes; Hash_Collisions = (Distinct_Keys - Used_Slots): 60,568 = (11,375,257 - 11,314,689)
WYHASH_v3   : All Keys 5 bytes; Hash_Collisions = (Distinct_Keys - Used_Slots): 60,200 = (11,375,257 - 11,315,057)
XXH3        : All Keys 5 bytes; Hash_Collisions = (Distinct_Keys - Used_Slots): 59,971 = (11,375,257 - 11,315,286)

iSCSI CRC32 : All Keys 6 bytes; Hash_Collisions = (Distinct_Keys - Used_Slots): 365,489 = (28,245,411 - 27,879,922)
FNV1A_Pippip: All Keys 6 bytes; Hash_Collisions = (Distinct_Keys - Used_Slots): 369,173 = (28,245,411 - 27,876,238)
WYHASH_v3   : All Keys 6 bytes; Hash_Collisions = (Distinct_Keys - Used_Slots): 367,134 = (28,245,411 - 27,878,277)
XXH3        : All Keys 6 bytes; Hash_Collisions = (Distinct_Keys - Used_Slots): 367,425 = (28,245,411 - 27,877,986)

iSCSI CRC32 : All Keys 7 bytes; Hash_Collisions = (Distinct_Keys - Used_Slots): 1,320,238 = (53,725,626 - 52,405,388)
FNV1A_Pippip: All Keys 7 bytes; Hash_Collisions = (Distinct_Keys - Used_Slots): 1,320,750 = (53,725,626 - 52,404,876)
WYHASH_v3   : All Keys 7 bytes; Hash_Collisions = (Distinct_Keys - Used_Slots): 1,322,350 = (53,725,626 - 52,403,276)
XXH3        : All Keys 7 bytes; Hash_Collisions = (Distinct_Keys - Used_Slots): 1,322,572 = (53,725,626 - 52,403,054)

iSCSI CRC32 : All Keys 8 bytes; Hash_Collisions = (Distinct_Keys - Used_Slots): 3,502,617 = (87,951,564 - 84,448,947)
FNV1A_Pippip: All Keys 8 bytes; Hash_Collisions = (Distinct_Keys - Used_Slots): 3,506,053 = (87,951,564 - 84,445,511)
WYHASH_v3   : All Keys 8 bytes; Hash_Collisions = (Distinct_Keys - Used_Slots): 3,505,492 = (87,951,564 - 84,446,072)
XXH3        : All Keys 8 bytes; Hash_Collisions = (Distinct_Keys - Used_Slots): 3,507,241 = (87,951,564 - 84,444,323)

iSCSI CRC32 : All Keys 9 bytes; Hash_Collisions = (Distinct_Keys - Used_Slots): 7,640,445 = (130,682,041 - 123,041,596)
FNV1A_Pippip: All Keys 9 bytes; Hash_Collisions = (Distinct_Keys - Used_Slots): 7,632,636 = (130,682,041 - 123,049,405)
WYHASH_v3   : All Keys 9 bytes; Hash_Collisions = (Distinct_Keys - Used_Slots): 7,640,436 = (130,682,041 - 123,041,605)
XXH3        : All Keys 9 bytes; Hash_Collisions = (Distinct_Keys - Used_Slots): 7,640,264 = (130,682,041 - 123,041,777)

My reference point, called Look-up-er-o-rama, allows to give these dumps for keys of up to 31 bytes, EZ. However, the most common use case is (3..9) when I have to write, p. Stallone but instead of writing Staloune – The goal is to have a super fast and super dispersed function capable of searching millions of queries per second. Is there a better way to do such searches?

I checked all of the more than 64 GB of Wikipedia in English with a fuzzy search engine, and discovered that the correct spelling of & # 39; Sylvester Stallone & # 39; It was misspelled 4 times, which suggests writing a heavy verifier, based on …

Tabs do not reopen when closing Safari on iPad with iOS 13.1

Since I updated to iOS 13.1 on my iPad (5th generation, 9.5 "), every time I close the Safari application or turn off the iPad, my open tabs are NOT restored.

This worked fine before the update. Anyone else or any suggestions? I keep the eyelashes open until I have treated them. This behavior is a blow to me.

Windows application – Adrosoft AD Stereo Changer 1.3.1 | NulledTeam UnderGround

File Size: 1.2 MB

AD Stereo Changer is a sound program to create additional stereo effects and play an audio file in real time. You can move the sound source that is presented equally on both stereo channels and located right in the middle of the acoustic space to the left or right, which improves the perception of music.

Especially this effect is noticeable if you use headphones. AD Stereo Changer processes digital data from a stereo or mono audio file, plays it immediately and creates the temporary file with modified sound. You can save the temporary file in MP3 or WAV format. The original audio material remains intact on your computer.

What's new:
Updates: the official site does not provide information about changes in this version.

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Windows application – UniPDF PRO 1.3.1 Multilingual | NulledTeam UnderGround

UniPDF PRO 1.3.1 multilingual | 5.8 Mb

UniPDF is developed based on the main concept of re-producing a Word file from a PDF. It comes with a number of features that make the task even more effective and efficient. In use, it is versatile.

It supports the conversion of PDF files to Word, image, text and HTML. One of the most attractive features of this software is that it retains the original design and PDF design. The conversion time is hardly sensible. The time you can save when copying and pasting PDF content is not minutes, but HOURS.
Unique features include:
– Convert your PDF files into four types of files to meet your specific needs: Microsoft Word, image files, text and HTML are available
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Windows 10/8/7 / Vista / XP

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Windows application – Doc Converter Pro 1.3.1 Business | NulledTeam UnderGround

Doc Converter Pro 1.3.1 Business | 27.2 Mb

Doc Converter Pro is the easy way to convert your documents to different formats. You can convert Word (DOCX or DOC) to HTML, Word to PDF, PDF to HTML and more.

Word to HTML

PDF to HTML

Doc Converter Pro is the easy way to convert your documents to different formats. You can convert Word (DOCX or DOC) to HTML, Word to PDF, PDF to HTML and more.
The complete list of formats we support is:
Word to HTML
Word to PDF
PDF to HTML
PDF to Word
Open document to HTML
Open document to PDF
PDF to plain text
Word to plain text
Windows 7 or later, Microsoft .NET 4.6 framework (installed by default in the latest version of Windows 10).

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