mirror of
https://github.com/rspeer/wordfreq.git
synced 2024-12-25 10:15:23 +00:00
38 lines
1.1 KiB
Python
38 lines
1.1 KiB
Python
import unicodedata
|
|
import itertools
|
|
import os
|
|
import pprint
|
|
|
|
|
|
def make_hanzi_table(filename):
|
|
with open(filename, 'w', encoding='utf-8') as out:
|
|
for codept in itertools.chain(range(0x3400, 0xa000), range(0xf900, 0xfb00), range(0x20000, 0x30000)):
|
|
char = chr(codept)
|
|
if unicodedata.category(char) != 'Cn':
|
|
print('%5X\t%s' % (codept, char), file=out)
|
|
|
|
|
|
def make_hanzi_converter(table_in, python_out):
|
|
table = {}
|
|
with open(table_in, encoding='utf-8') as infile:
|
|
for line in infile:
|
|
hexcode, char = line.rstrip('\n').split('\t')
|
|
codept = int(hexcode, 16)
|
|
assert len(char) == 1
|
|
if chr(codept) != char:
|
|
table[codept] = char
|
|
with open(python_out, 'w', encoding='utf-8') as outfile:
|
|
print('SIMPLIFIED_MAP = ', end='', file=outfile)
|
|
pprint.pprint(table, stream=outfile)
|
|
|
|
|
|
def build():
|
|
make_hanzi_table('/tmp/han_in.txt')
|
|
os.system('opencc -c zht2zhs.ini < /tmp/han_in.txt > /tmp/han_out.txt')
|
|
make_hanzi_converter('/tmp/han_out.txt', '_chinese_mapping.py')
|
|
|
|
|
|
if __name__ == '__main__':
|
|
build()
|
|
|