diff options
author | Thomas Voss <mail@thomasvoss.com> | 2024-05-03 18:37:50 +0200 |
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committer | Thomas Voss <mail@thomasvoss.com> | 2024-05-03 18:37:50 +0200 |
commit | 1b068cedf3c113f27121182b29e096ccb3e1b9c1 (patch) | |
tree | 0626eec582b75c767c35510bb33f5a191d99a276 /gen/prop/nfXX_qc | |
parent | 56539c1cae81fc95608be9170c1965346ce31c09 (diff) |
Add more 2-stage lookup tables
Diffstat (limited to 'gen/prop/nfXX_qc')
-rwxr-xr-x | gen/prop/nfXX_qc | 185 |
1 files changed, 109 insertions, 76 deletions
diff --git a/gen/prop/nfXX_qc b/gen/prop/nfXX_qc index fed603e..24fcf45 100755 --- a/gen/prop/nfXX_qc +++ b/gen/prop/nfXX_qc @@ -1,77 +1,110 @@ -#!/bin/sh - -set -e -cd "${0%/*}/../.." - -for x in c d kc kd -do - gawk -v s=$x ' - BEGIN { - FS = "[ ;]+" - - _default = "NF" toupper(s) "_QC_Y" - - print "/* This file is autogenerated by gen/prop/nfXX_qc; DO NOT EDIT. */" - print "" - print "/* The macros.h include may be unused */" - print "" - print "#include \"_bsearch.h\"" - print "#include \"macros.h\"" - print "#include \"rune.h\"" - print "#include \"unicode/prop.h\"" - print "" - } - - /^[A-F0-9]/ && $2 == "NF" toupper(s) "_QC" { - n = split($1, a, /\.\./) - lo = strtonum("0X" a[1]) - hi = strtonum("0X" a[n]) - - for (i = lo; i <= hi; i++) - props[i] = "NF" toupper(s) "_QC_" $3 - if (lo < 0x100) - want_lat1_tbl = 1 - } - - END { - if (want_lat1_tbl) { - print "static constexpr enum uprop_nf" s "_qc lookup_lat1[] = {" - for (i = 0; i < 0x100; i++) { - if (i % 8 == 0) - printf "\t" - printf "%s,%s", props[i] ? props[i] : _default, \ - i % 8 == 7 ? "\n" : " " - } - print "};" - print "" - } - - print "static const struct {" - print "\trune lo, hi;" - print "\tenum uprop_nf" s "_qc val;" - print "} lookup[] = {" - - for (i = want_lat1_tbl ? 0x100 : 0; i <= 0x10FFFF; i++) { - if (!props[i]) +#!/usr/bin/python3 + +import math + +from lib import * + + +longest = 0 +TYPES = ['c', 'd', 'kc', 'kd'] + +def parse(file: str, _type: str) -> list[bool]: + global longest + + _type = _type.upper() + + xs = [f'NF{_type}_QC_Y'] * 0x110000 + with open(file, 'r') as f: + for line in f.readlines(): + if ( + len(line.strip()) == 0 + or line[0] == '#' + or f'NF{_type}_QC' not in line + ): continue - for (lo = i; props[lo] == props[i + 1]; i++) - ; - printf "\t{RUNE_C(0x%06X), RUNE_C(0x%06X), %s},\n", lo, i, props[i] - } - - print "};" - print "" - print "_MLIB_DEFINE_BSEARCH(enum uprop_nf" s "_qc, lookup, " _default ")" - print "" - print "enum uprop_nf" s "_qc" - print "uprop_get_nf" s "_qc(rune ch)" - print "{" - if (want_lat1_tbl) - print "\treturn ch < lengthof(lookup_lat1) ? lookup_lat1[ch] : mlib_lookup(ch);" - else - print "\treturn ch < lookup[0].lo ? " _default " : mlib_lookup(ch);" - print "}" - } - ' data/DerivedNormalizationProps \ - | sed 's/\s*$//' >lib/unicode/prop/uprop_get_nf${x}_qc.c -done + + parts = line.split(';') + ranges = [int(x, 16) for x in parts[0].strip().split('..')] + prop = f'NF{_type}_QC_' + parts[2].split('#')[0].strip() + longest = max(longest, len(prop)) + + for i in range(ranges[0], ranges[len(ranges) - 1] + 1): + xs[i] = prop + return xs + +def genfile(cs: list[tuple[bool, ...]], blksize: int, _type: str) -> None: + Cs = cs + cs = list(dict.fromkeys(Cs)) + + print('''\ +/* This file is autogenerated by gen/prop/nfXX_qc; DO NOT EDIT. */ + +#include "unicode/prop.h" +''') + + print(f'static constexpr {typename(len(cs) - 1)} stage1[] = {{') + for i, c in enumerate(Cs): + print(f'%c%{len(str(len(cs) - 1))}d,' % ('\t' if i % 16 == 0 else ' ', cs.index(c)), end='') + if i % 16 == 15: + print() + print('};') + + print() + + ppc = columns(blksize, longest + 1) + print(f'static constexpr enum uprop_nf{_type}_qc stage2[][{blksize}] = {{') + for c in cs: + for i in range(blksize // ppc): + print('\t{' if i == 0 else '\t ', end='') + for j in range(ppc): + print(c[i*ppc + j], end='') + if i < blksize // ppc - 1 or j < ppc - 1: + print(',', end='') + if j < ppc - 1: + print(' ' * (longest + 1 - len(c[i*ppc + j])), end='') + if i < blksize // ppc - 1: + print() + print('},') + print('};') + + print() + + print(f'''\ +enum uprop_nf{_type}_qc +uprop_get_nf{_type}_qc(rune ch) +{{ + return stage2[stage1[ch / {blksize}]][ch % {blksize}]; +}}''') + +def main(_type: str) -> None: + cwd_init() + xs = parse('data/DerivedNormalizationProps', _type) + + blksize = -1 + smallest = math.inf + + for bs in powers_of_2(): + if bs > len(xs): + break + Cs = [tuple(x) for x in chunks(xs, bs)] + cs = set(Cs) + + sz_s1 = len(Cs) * isize(len(cs) - 1) + sz_s2 = len(cs) * bs + sz = sz_s1 + sz_s2 + + if sz < smallest: + smallest = sz + blksize = bs + + Cs = [tuple(x) for x in chunks(xs, blksize)] + with open(f'lib/unicode/prop/uprop_get_nf{_type}_qc.c', 'w') as f: + sys.stdout = f + genfile(Cs, blksize, _type) + + report_size(len(xs), smallest) + +if __name__ == '__main__': + for _type in TYPES: + longest = 0 + main(_type) |