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#!/usr/bin/env python
import re
import sys
import itertools
import perfect_hash
pattern = re.compile(r"^#define\s+XKB_KEY_(?P<name>\w+)\s+(?P<value>0x[0-9a-fA-F]+)\s")
matches = [pattern.match(line) for line in open(sys.argv[1])]
entries = [(m.group("name"), int(m.group("value"), 16)) for m in matches if m]
entries_isorted = sorted(entries, key=lambda e: e[0].lower())
entries_kssorted = sorted(entries, key=lambda e: e[1])
print(
"""
/**
* This file comes from libxkbcommon and was generated by makekeys.py
* You can always fetch the latest version from:
* https://raw.github.com/xkbcommon/libxkbcommon/master/src/ks_tables.h
*/
"""
)
entry_offsets = {}
print(
"""
#ifdef __GNUC__
#pragma GCC diagnostic push
#pragma GCC diagnostic ignored "-Woverlength-strings"
#endif
static const char *keysym_names =
""".strip()
)
offs = 0
for name, _ in entries_isorted:
entry_offsets[name] = offs
print(' "{name}\\0"'.format(name=name))
offs += len(name) + 1
print(
"""
;
#ifdef __GNUC__
#pragma GCC diagnostic pop
#endif
""".strip()
)
template = r"""
static const uint16_t keysym_name_G[] = {
$G
};
static size_t
keysym_name_hash_f(const char *key, const char *T)
{
size_t sum = 0;
for (size_t i = 0; key[i] != '\0'; i++)
sum += T[i % $NS] * key[i];
return sum % $NG;
}
static size_t
keysym_name_perfect_hash(const char *key)
{
return (
keysym_name_G[keysym_name_hash_f(key, "$S1")] +
keysym_name_G[keysym_name_hash_f(key, "$S2")]
) % $NG;
}
"""
print(
perfect_hash.generate_code(
keys=[name for name, value in entries_isorted],
template=template,
)
)
print(
"""
struct name_keysym {
xkb_keysym_t keysym;
uint32_t offset;
};\n"""
)
def print_entries(x):
for name, value in x:
print(
" {{ 0x{value:08x}, {offs} }}, /* {name} */".format(
offs=entry_offsets[name], value=value, name=name
)
)
print("static const struct name_keysym name_to_keysym[] = {")
print_entries(entries_isorted)
print("};\n")
# *.sort() is stable so we always get the first keysym for duplicate
print("static const struct name_keysym keysym_to_name[] = {")
print_entries(
next(g[1]) for g in itertools.groupby(entries_kssorted, key=lambda e: e[1])
)
print("};")
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