mirror of
https://github.com/kovidgoyal/kitty.git
synced 2024-11-10 13:04:03 +03:00
546 lines
19 KiB
Python
Executable File
546 lines
19 KiB
Python
Executable File
#!/usr/bin/env python3
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# vim:fileencoding=utf-8
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# License: GPL v3 Copyright: 2017, Kovid Goyal <kovid at kovidgoyal.net>
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import os
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import re
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import sys
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from collections import defaultdict
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from contextlib import contextmanager
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from datetime import date
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from functools import partial
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from html.entities import html5
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from itertools import groupby
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from operator import itemgetter
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from typing import (
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Callable, DefaultDict, Dict, FrozenSet, Generator, Iterable, List,
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Optional, Set, Tuple, Union
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)
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from urllib.request import urlopen
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os.chdir(os.path.dirname(os.path.abspath(__file__)))
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non_characters = frozenset(range(0xfffe, 0x10ffff, 0x10000))
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non_characters |= frozenset(range(0xffff, 0x10ffff + 1, 0x10000))
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non_characters |= frozenset(range(0xfdd0, 0xfdf0))
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if len(non_characters) != 66:
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raise SystemExit('non_characters table incorrect')
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emoji_skin_tone_modifiers = frozenset(range(0x1f3fb, 0x1F3FF + 1))
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def get_data(fname: str, folder: str = 'UCD') -> Iterable[str]:
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url = f'https://www.unicode.org/Public/{folder}/latest/{fname}'
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bn = os.path.basename(url)
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local = os.path.join('/tmp', bn)
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if os.path.exists(local):
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with open(local, 'rb') as f:
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data = f.read()
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else:
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data = urlopen(url).read()
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with open(local, 'wb') as f:
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f.write(data)
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for line in data.decode('utf-8').splitlines():
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line = line.strip()
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if line and not line.startswith('#'):
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yield line
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# Map of class names to set of codepoints in class
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class_maps: Dict[str, Set[int]] = {}
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all_symbols: Set[int] = set()
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name_map: Dict[int, str] = {}
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word_search_map: DefaultDict[str, Set[int]] = defaultdict(set)
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zwj = 0x200d
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flag_codepoints = frozenset(range(0x1F1E6, 0x1F1E6 + 26))
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marks = set(emoji_skin_tone_modifiers) | {zwj} | flag_codepoints
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not_assigned = set(range(0, sys.maxunicode))
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def parse_ucd() -> None:
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def add_word(w: str, c: int) -> None:
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if c <= 32 or c == 127 or 128 <= c <= 159:
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return
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if len(w) > 1:
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word_search_map[w.lower()].add(c)
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first: Optional[int] = None
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for word, c in html5.items():
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if len(c) == 1:
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add_word(word.rstrip(';'), ord(c))
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word_search_map['nnbsp'].add(0x202f)
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for line in get_data('ucd/UnicodeData.txt'):
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parts = [x.strip() for x in line.split(';')]
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codepoint = int(parts[0], 16)
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name = parts[1] or parts[10]
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if name == '<control>':
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name = parts[10]
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if name:
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name_map[codepoint] = name
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for word in name.lower().split():
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add_word(word, codepoint)
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category = parts[2]
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s = class_maps.setdefault(category, set())
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desc = parts[1]
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codepoints: Union[Tuple[int, ...], Iterable[int]] = (codepoint,)
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if first is None:
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if desc.endswith(', First>'):
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first = codepoint
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continue
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else:
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codepoints = range(first, codepoint + 1)
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first = None
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for codepoint in codepoints:
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s.add(codepoint)
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not_assigned.discard(codepoint)
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if category.startswith('M'):
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marks.add(codepoint)
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elif category.startswith('S'):
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all_symbols.add(codepoint)
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with open('nerd-fonts-glyphs.txt') as f:
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for line in f:
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line = line.strip()
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if not line or line.startswith('#'):
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continue
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code, category, name = line.split(' ', 2)
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codepoint = int(code, 16)
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if name and codepoint not in name_map:
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name_map[codepoint] = name.upper()
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for word in name.lower().split():
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add_word(word, codepoint)
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# Some common synonyms
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word_search_map['bee'] |= word_search_map['honeybee']
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word_search_map['lambda'] |= word_search_map['lamda']
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word_search_map['lamda'] |= word_search_map['lambda']
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word_search_map['diamond'] |= word_search_map['gem']
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def parse_range_spec(spec: str) -> Set[int]:
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spec = spec.strip()
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if '..' in spec:
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chars_ = tuple(map(lambda x: int(x, 16), filter(None, spec.split('.'))))
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chars = set(range(chars_[0], chars_[1] + 1))
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else:
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chars = {int(spec, 16)}
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return chars
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def split_two(line: str) -> Tuple[Set[int], str]:
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spec, rest = line.split(';', 1)
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spec, rest = spec.strip(), rest.strip().split(' ', 1)[0].strip()
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return parse_range_spec(spec), rest
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all_emoji: Set[int] = set()
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emoji_presentation_bases: Set[int] = set()
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narrow_emoji: Set[int] = set()
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wide_emoji: Set[int] = set()
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flags: Dict[int, List[int]] = {}
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def parse_basic_emoji(spec: str) -> None:
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parts = list(filter(None, spec.split()))
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has_emoji_presentation = len(parts) < 2
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chars = parse_range_spec(parts[0])
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all_emoji.update(chars)
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emoji_presentation_bases.update(chars)
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(wide_emoji if has_emoji_presentation else narrow_emoji).update(chars)
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def parse_keycap_sequence(spec: str) -> None:
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base, fe0f, cc = list(filter(None, spec.split()))
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chars = parse_range_spec(base)
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all_emoji.update(chars)
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emoji_presentation_bases.update(chars)
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narrow_emoji.update(chars)
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def parse_flag_emoji_sequence(spec: str) -> None:
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a, b = list(filter(None, spec.split()))
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left, right = int(a, 16), int(b, 16)
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chars = {left, right}
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all_emoji.update(chars)
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wide_emoji.update(chars)
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emoji_presentation_bases.update(chars)
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flags.setdefault(left, []).append(right)
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def parse_emoji_tag_sequence(spec: str) -> None:
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a = int(spec.split()[0], 16)
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all_emoji.add(a)
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wide_emoji.add(a)
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emoji_presentation_bases.add(a)
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def parse_emoji_modifier_sequence(spec: str) -> None:
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a, b = list(filter(None, spec.split()))
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char, mod = int(a, 16), int(b, 16)
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mod
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all_emoji.add(char)
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wide_emoji.add(char)
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emoji_presentation_bases.add(char)
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def parse_emoji() -> None:
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for line in get_data('emoji-sequences.txt', 'emoji'):
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parts = [x.strip() for x in line.split(';')]
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if len(parts) < 2:
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continue
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data, etype = parts[:2]
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if etype == 'Basic_Emoji':
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parse_basic_emoji(data)
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elif etype == 'Emoji_Keycap_Sequence':
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parse_keycap_sequence(data)
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elif etype == 'RGI_Emoji_Flag_Sequence':
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parse_flag_emoji_sequence(data)
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elif etype == 'RGI_Emoji_Tag_Sequence':
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parse_emoji_tag_sequence(data)
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elif etype == 'RGI_Emoji_Modifier_Sequence':
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parse_emoji_modifier_sequence(data)
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doublewidth: Set[int] = set()
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ambiguous: Set[int] = set()
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def parse_eaw() -> None:
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global doublewidth, ambiguous
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seen: Set[int] = set()
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for line in get_data('ucd/EastAsianWidth.txt'):
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chars, eaw = split_two(line)
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if eaw == 'A':
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ambiguous |= chars
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seen |= chars
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elif eaw == 'W' or eaw == 'F':
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doublewidth |= chars
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seen |= chars
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doublewidth |= set(range(0x3400, 0x4DBF + 1)) - seen
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doublewidth |= set(range(0x4E00, 0x9FFF + 1)) - seen
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doublewidth |= set(range(0xF900, 0xFAFF + 1)) - seen
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doublewidth |= set(range(0x20000, 0x2FFFD + 1)) - seen
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doublewidth |= set(range(0x30000, 0x3FFFD + 1)) - seen
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def get_ranges(items: List[int]) -> Generator[Union[int, Tuple[int, int]], None, None]:
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items.sort()
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for k, g in groupby(enumerate(items), lambda m: m[0]-m[1]):
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group = tuple(map(itemgetter(1), g))
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a, b = group[0], group[-1]
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if a == b:
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yield a
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else:
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yield a, b
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def write_case(spec: Union[Tuple, int], p: Callable) -> None:
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if isinstance(spec, tuple):
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p('\t\tcase 0x{:x} ... 0x{:x}:'.format(*spec))
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else:
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p('\t\tcase 0x{:x}:'.format(spec))
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@contextmanager
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def create_header(path: str, include_data_types: bool = True) -> Generator[Callable, None, None]:
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with open(path, 'w') as f:
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p = partial(print, file=f)
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p('// unicode data, built from the unicode standard on:', date.today())
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p('// see gen-wcwidth.py')
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if path.endswith('.h'):
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p('#pragma once')
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if include_data_types:
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p('#include "data-types.h"\n')
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p('START_ALLOW_CASE_RANGE')
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p()
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yield p
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p()
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if include_data_types:
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p('END_ALLOW_CASE_RANGE')
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def gen_emoji() -> None:
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with create_header('kitty/emoji.h') as p:
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p('static inline bool\nis_emoji(char_type code) {')
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p('\tswitch(code) {')
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for spec in get_ranges(list(all_emoji)):
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write_case(spec, p)
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p('\t\t\treturn true;')
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p('\t\tdefault: return false;')
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p('\t}')
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p('\treturn false;\n}')
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p('static inline bool\nis_symbol(char_type code) {')
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p('\tswitch(code) {')
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for spec in get_ranges(list(all_symbols)):
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write_case(spec, p)
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p('\t\t\treturn true;')
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p('\t\tdefault: return false;')
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p('\t}')
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p('\treturn false;\n}')
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def category_test(
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name: str,
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p: Callable,
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classes: Iterable[str],
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comment: str,
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use_static: bool = False,
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extra_chars: Union[FrozenSet[int], Set[int]] = frozenset(),
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exclude: Union[Set[int], FrozenSet[int]] = frozenset(),
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least_check_return: Optional[str] = None,
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ascii_range: Optional[str] = None
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) -> None:
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static = 'static inline ' if use_static else ''
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chars: Set[int] = set()
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for c in classes:
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chars |= class_maps[c]
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chars |= extra_chars
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chars -= exclude
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p(f'{static}bool\n{name}(char_type code) {{')
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p(f'\t// {comment} ({len(chars)} codepoints)' + ' {{' '{')
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if least_check_return is not None:
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least = min(chars)
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p(f'\tif (LIKELY(code < {least})) return {least_check_return};')
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if ascii_range is not None:
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p(f'\tif (LIKELY(0x20 <= code && code <= 0x7e)) return {ascii_range};')
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p('\tswitch(code) {')
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for spec in get_ranges(list(chars)):
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write_case(spec, p)
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p('\t\t\treturn true;')
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p('\t} // }}}\n')
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p('\treturn false;\n}\n')
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def codepoint_to_mark_map(p: Callable, mark_map: List[int]) -> Dict[int, int]:
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p('\tswitch(c) { // {{{')
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rmap = {c: m for m, c in enumerate(mark_map)}
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for spec in get_ranges(mark_map):
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if isinstance(spec, tuple):
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s = rmap[spec[0]]
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cases = ' '.join(f'case {i}:' for i in range(spec[0], spec[1]+1))
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p(f'\t\t{cases} return {s} + c - {spec[0]};')
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else:
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p(f'\t\tcase {spec}: return {rmap[spec]};')
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p('default: return 0;')
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p('\t} // }}}')
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return rmap
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def classes_to_regex(classes: Iterable[str], exclude: str = '') -> Iterable[str]:
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chars: Set[int] = set()
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for c in classes:
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chars |= class_maps[c]
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for x in map(ord, exclude):
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chars.discard(x)
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def as_string(codepoint: int) -> str:
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if codepoint < 256:
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return r'\x{:02x}'.format(codepoint)
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if codepoint <= 0xffff:
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return r'\u{:04x}'.format(codepoint)
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return r'\U{:08x}'.format(codepoint)
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for spec in get_ranges(list(chars)):
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if isinstance(spec, tuple):
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yield '{}-{}'.format(*map(as_string, (spec[0], spec[1])))
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else:
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yield as_string(spec)
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def gen_ucd() -> None:
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cz = {c for c in class_maps if c[0] in 'CZ'}
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with create_header('kitty/unicode-data.c') as p:
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p('#include "unicode-data.h"')
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category_test(
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'is_combining_char', p,
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{c for c in class_maps if c.startswith('M')},
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'M category (marks)',
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# See https://github.com/harfbuzz/harfbuzz/issues/169
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extra_chars=emoji_skin_tone_modifiers | {zwj},
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least_check_return='false'
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)
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category_test(
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'is_ignored_char', p, 'Cc Cf Cs'.split(),
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'Control characters and non-characters',
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extra_chars=non_characters, exclude={zwj},
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ascii_range='false'
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)
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category_test('is_word_char', p, {c for c in class_maps if c[0] in 'LN'}, 'L and N categories')
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category_test('is_CZ_category', p, cz, 'C and Z categories')
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category_test('is_P_category', p, {c for c in class_maps if c[0] == 'P'}, 'P category (punctuation)')
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mark_map = [0] + list(sorted(marks))
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p('char_type codepoint_for_mark(combining_type m) {')
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p(f'\tstatic char_type map[{len(mark_map)}] =', '{', ', '.join(map(str, mark_map)), '}; // {{{ mapping }}}')
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p('\tif (m < arraysz(map)) return map[m];')
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p('\treturn 0;')
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p('}\n')
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p('combining_type mark_for_codepoint(char_type c) {')
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rmap = codepoint_to_mark_map(p, mark_map)
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p('}\n')
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with open('kitty/unicode-data.h') as f:
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unicode_data = f.read()
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m = re.search(r'^#define VS15 (\d+)', unicode_data, re.M)
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if m is not None:
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expected = int(m.group(1))
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if rmap[0xfe0e] != expected:
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raise ValueError('The mark for 0xfe0e has changed, you have to update VS15 to {} and VS16 to {} in unicode-data.h'.format(
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rmap[0xfe0e], rmap[0xfe0f]
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))
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with open('kittens/hints/url_regex.py', 'w') as f:
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f.write('# generated by gen-wcwidth.py, do not edit\n\n')
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f.write("url_delimiters = '{}' # noqa".format(''.join(classes_to_regex(cz, exclude='\n\r'))))
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def gen_names() -> None:
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with create_header('kittens/unicode_input/names.h') as p:
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mark_to_cp = list(sorted(name_map))
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cp_to_mark = {cp: m for m, cp in enumerate(mark_to_cp)}
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# Mapping of mark to codepoint name
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p(f'static const char* name_map[{len(mark_to_cp)}] = {{' ' // {{{')
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for cp in mark_to_cp:
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w = name_map[cp].replace('"', '\\"')
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p(f'\t"{w}",')
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p("}; // }}}\n")
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# Mapping of mark to codepoint
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p(f'static const char_type mark_to_cp[{len(mark_to_cp)}] = {{' ' // {{{')
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p(', '.join(map(str, mark_to_cp)))
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p('}; // }}}\n')
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# Function to get mark number for codepoint
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p('static char_type mark_for_codepoint(char_type c) {')
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codepoint_to_mark_map(p, mark_to_cp)
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p('}\n')
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p('static inline const char* name_for_codepoint(char_type cp) {')
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p('\tchar_type m = mark_for_codepoint(cp); if (m == 0) return NULL;')
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p('\treturn name_map[m];')
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p('}\n')
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# Array of all words
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word_map = tuple(sorted(word_search_map))
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word_rmap = {w: i for i, w in enumerate(word_map)}
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p(f'static const char* all_words_map[{len(word_map)}] = {{' ' // {{{')
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cwords = (w.replace('"', '\\"') for w in word_map)
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p(', '.join(f'"{w}"' for w in cwords))
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p('}; // }}}\n')
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# Array of sets of marks for each word
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word_to_marks = {word_rmap[w]: frozenset(map(cp_to_mark.__getitem__, cps)) for w, cps in word_search_map.items()}
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all_mark_groups = frozenset(word_to_marks.values())
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array = [0]
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mg_to_offset = {}
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for mg in all_mark_groups:
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mg_to_offset[mg] = len(array)
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array.append(len(mg))
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array.extend(sorted(mg))
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p(f'static const char_type mark_groups[{len(array)}] = {{' ' // {{{')
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p(', '.join(map(str, array)))
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p('}; // }}}\n')
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offsets_array = []
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for wi, w in enumerate(word_map):
|
|
mg = word_to_marks[wi]
|
|
offsets_array.append(mg_to_offset[mg])
|
|
p(f'static const char_type mark_to_offset[{len(offsets_array)}] = {{' ' // {{{')
|
|
p(', '.join(map(str, offsets_array)))
|
|
p('}; // }}}\n')
|
|
|
|
# The trie
|
|
p('typedef struct { uint32_t children_offset; uint32_t match_offset; } word_trie;\n')
|
|
all_trie_nodes: List['TrieNode'] = [] # noqa
|
|
|
|
class TrieNode:
|
|
|
|
def __init__(self) -> None:
|
|
self.match_offset = 0
|
|
self.children_offset = 0
|
|
self.children: Dict[int, int] = {}
|
|
|
|
def add_letter(self, letter: int) -> int:
|
|
if letter not in self.children:
|
|
self.children[letter] = len(all_trie_nodes)
|
|
all_trie_nodes.append(TrieNode())
|
|
return self.children[letter]
|
|
|
|
def __str__(self) -> str:
|
|
return f'{{ .children_offset={self.children_offset}, .match_offset={self.match_offset} }}'
|
|
|
|
root = TrieNode()
|
|
all_trie_nodes.append(root)
|
|
|
|
def add_word(word_idx: int, word: str) -> None:
|
|
parent = root
|
|
for letter in map(ord, word):
|
|
idx = parent.add_letter(letter)
|
|
parent = all_trie_nodes[idx]
|
|
parent.match_offset = offsets_array[word_idx]
|
|
|
|
for i, word in enumerate(word_map):
|
|
add_word(i, word)
|
|
children_array = [0]
|
|
for node in all_trie_nodes:
|
|
if node.children:
|
|
node.children_offset = len(children_array)
|
|
children_array.append(len(node.children))
|
|
for letter, child_offset in node.children.items():
|
|
children_array.append((child_offset << 8) | (letter & 0xff))
|
|
|
|
p(f'static const word_trie all_trie_nodes[{len(all_trie_nodes)}] = {{' ' // {{{')
|
|
p(',\n'.join(map(str, all_trie_nodes)))
|
|
p('\n}; // }}}\n')
|
|
p(f'static const uint32_t children_array[{len(children_array)}] = {{' ' // {{{')
|
|
p(', '.join(map(str, children_array)))
|
|
p('}; // }}}\n')
|
|
|
|
|
|
def gen_wcwidth() -> None:
|
|
seen: Set[int] = set()
|
|
|
|
def add(p: Callable, comment: str, chars_: Union[Set[int], FrozenSet[int]], ret: int) -> None:
|
|
chars = chars_ - seen
|
|
seen.update(chars)
|
|
p(f'\t\t// {comment} ({len(chars)} codepoints)' + ' {{' '{')
|
|
for spec in get_ranges(list(chars)):
|
|
write_case(spec, p)
|
|
p(f'\t\t\treturn {ret};')
|
|
p('\t\t// }}}\n')
|
|
|
|
with create_header('kitty/wcwidth-std.h') as p:
|
|
p('static inline int\nwcwidth_std(int32_t code) {')
|
|
p('\tif (LIKELY(0x20 <= code && code <= 0x7e)) return 1;')
|
|
p('\tswitch(code) {')
|
|
|
|
non_printing = class_maps['Cc'] | class_maps['Cf'] | class_maps['Cs']
|
|
add(p, 'Flags', flag_codepoints, 2)
|
|
add(p, 'Marks', marks | {0}, 0)
|
|
add(p, 'Non-printing characters', non_printing, -1)
|
|
add(p, 'Private use', class_maps['Co'], -3)
|
|
add(p, 'Text Presentation', narrow_emoji, 1)
|
|
add(p, 'East Asian ambiguous width', ambiguous, -2)
|
|
add(p, 'East Asian double width', doublewidth, 2)
|
|
add(p, 'Emoji Presentation', wide_emoji, 2)
|
|
|
|
add(p, 'Not assigned in the unicode character database', not_assigned, -4)
|
|
|
|
p('\t\tdefault: return 1;')
|
|
p('\t}')
|
|
p('\treturn 1;\n}')
|
|
|
|
p('static inline bool\nis_emoji_presentation_base(uint32_t code) {')
|
|
p('\tswitch(code) {')
|
|
for spec in get_ranges(list(emoji_presentation_bases)):
|
|
write_case(spec, p)
|
|
p('\t\t\treturn true;')
|
|
p('\t\tdefault: return false;')
|
|
p('\t}')
|
|
p('\treturn 1;\n}')
|
|
|
|
|
|
parse_ucd()
|
|
parse_emoji()
|
|
parse_eaw()
|
|
gen_ucd()
|
|
gen_wcwidth()
|
|
gen_emoji()
|
|
gen_names()
|