For SerenityOS, we parse emoji metadata from the UCD to learn emoji
groups, subgroups, names, etc. We used this information only in the
emoji picker dialog. It is entirely unused within Ladybird.
This removes our dependence on the UCD emoji file, as we no longer
need any of its information. All we need to know is the file path to
our custom emoji, which we get from Meta/emoji-file-list.txt.
There are a couple of differences here due to using ICU:
1. Titlecasing behaves slightly differently. We previously transformed
"123dollars" to "123Dollars", as we would use word segmentation to
split a string into words, then transform the first cased character
to titlecase. ICU doesn't go quite that far, and leaves the string
as "123dollars". While this is a behavior change, the only user of
this API is the `text-transform: capitalize;` CSS rule, and we now
match the behavior of other browsers.
2. There isn't an API to compare strings with case insensitivity without
allocating case-folded strings for both the left- and right-hand-side
strings. Our implementation was previously allocation-free; however,
in a benchmark, ICU is still ~1.4x faster.
And add a verification step to the emoji data generator to ensure all
emoji are listed in this file. This file will be used as a sources list
in both the CMake and GN build systems.
It is probably possible to generate this list. But in a first attempt,
the CMake code to set the file as a dependency of a pseudo target, which
would then parse the file and install the listed emoji was getting quite
verbose and complicated. So for now, let's just maintain this list.
https://unicode.org/versions/Unicode15.1.0/
This update includes a new set of code point properties, Indic Conjunct
Break. These may have the values Consonant, Linker, or Extend. These are
used in text segmentation to prevent breaking on some extended grapheme
cluster sequences.
Similar to the FontDatabase, this will be needed for Ladybird to find
emoji images. We now generate just the file name of emoji image in
LibUnicode, and look for that file in the specified path (defaulting to
/res/emoji) at runtime.
Case folding rules have a similar mapping style as special casing rules,
where one code point may map to zero or more case folding rules. These
will be used for case-insensitive string comparisons. To see how case
folding can differ from other casing rules, consider "ß" (U+00DF):
>>> "ß".lower()
'ß'
>>> "ß".upper()
'SS'
>>> "ß".title()
'Ss'
>>> "ß".casefold()
'ss'
They currently reside under Build/<arch>, meaning that they would be
redownloaded for each architecture/toolchain build combo. Move them to a
location that can be re-used for all builds.
The non-www domain does not appear to be available now. We use the www
domain for UCD.zip already.
Co-authored-by: Stephan Unverwerth <s.unverwerth@serenityos.org>
We currently have two build-time parsers for the UCD's emoji-test.txt
file. To prepare for future changes, this removes the Bash parser and
moves its functionality to the newer C++ parser.
Also do this for Shell.
This greatly simplifies the CMakeLists in Lagom, replacing many glob
patterns with a big list of libraries. There are still a few special
libraries that need some help to conform to the pattern, like LibELF and
LibWebView.
It also lets us remove essentially all of the Serenity or Lagom binary
directory detection logic from code generators, as now both projects
directories enter the generator logic from the same place.
Parse emoji from emoji-serenity.txt to allow displaying their names and
grouping them together in the EmojiInputDialog.
This also adds an "Unknown" value to the EmojiGroup enum. This will be
useful for emoji that aren't found in the UCD, or for when UCD downloads
are disabled.
According to TR #51, the "best definition of the full set [of emojis] is
in the emoji-test.txt file". This defines not only the emoji themselves,
but the order in which they should be displayed, and what "group" of
emojis they belong to.
To prepare for placing all CLDR generated data in a new library,
LibLocale, this moves the code generators for the CLDR data to the
LibLocale subfolder.
The current emoji_txt.cmake does not handle download errors (which were
a common source of issues in the build problems channel) or Unicode
versioning. These are both handled by unicode_data.cmake. Move the
download to unicode_data.cmake so that we can more easily handle next
month's Unicode 15 release.
Plural rules in the CLDR are of the form:
"cs": {
"pluralRule-count-one": "i = 1 and v = 0 @integer 1",
"pluralRule-count-few": "i = 2..4 and v = 0 @integer 2~4",
"pluralRule-count-many": "v != 0 @decimal 0.0~1.5, 10.0, 100.0 ...",
"pluralRule-count-other": "@integer 0, 5~19, 100, 1000, 10000 ..."
}
The syntax is described here:
https://unicode.org/reports/tr35/tr35-numbers.html#Plural_rules_syntax
There are up to 2 sets of rules for each locale, a cardinal set and an
ordinal set. The approach here is to generate a C++ function for each
set of rules. Each condition in the rules (e.g. "i = 1 and v = 0") is
transpiled to a C++ if-statement within its function. Then lookup tables
are generated to match locales to their generated functions.
NOTE: -Wno-parentheses-equality is added to the LibUnicodeData compile
flags because the generated plural rules have lots of extra parentheses
(because e.g. we need to selectively negate and combine rules). The code
to generate only exactly the right number of parentheses is quite hairy,
so this just tells the compiler to ignore the extras.
Instead of downloading nearly 20 files individually, we can download a
single .zip file similar to how we download a single CLDR .zip. This is
to reduce the number of connections/downloads to/from unicode.org.
We have seen some cases where the build fails for folks, and they are
missing unzip/tar/gzip etc. We can catch some of these in CMake itself,
so lets make sure to handle that uniformly across the build system.
The REQUIRED flag to `find_program` was only added on in CMake 3.18 and
above, so we can't rely on that to actually halt the program execution.
This package was originally meant to be included in CLDR version 40, but
was missed in their release scripts. This has been resolved:
https://unicode-org.atlassian.net/browse/CLDR-15158
Unfortunately, the CLDR was re-released with the same version number. So
to bust the build's CLDR cache, change the "version" used to detect that
we need to redownload the CLDR.
This sets up the generator plumbing to create the relative-time data
files. This data could probably be included in the date-time generator,
but that generator is large enough that I'd rather put this tangentially
related data in its own file.
We had a hard-coded table of number system digits copied from ECMA-402.
Turns out these digits are in the CLDR, so let's parse the digits from
there instead of hard-coding them.
This function will be used by the time zone database parser. Move it to
the common utilities file, and rename it remove_path_if_version_changed
to be more generic.
Unlike most data in the CLDR, hour cycles are not stored on a per-locale
basis. Instead, they are keyed by a string that is usually a region, but
sometimes is a locale. Therefore, given a locale, to determine the hour
cycles for that locale, we:
1. Check if the locale itself is assigned hour cycles.
2. If the locale has a region, check if that region is assigned hour
cycles.
3. Otherwise, maximize that locale, and if the maximized locale has
a region, check if that region is assigned hour cycles.
4. If the above all fail, fallback to the "001" region.
Further, each locale's default hour cycle is the first assigned hour
cycle.
Similar to number formatting, the data for date-time formatting will be
located in its own generated file. This extracts the cldr-dates package
from the CLDR and sets up the generator plumbing to create the date-time
data files.
