我有两个在片假名和平假名之间转换的函数,它们看起来一样:
katakana_minus_hiragana = 0x30a1 - 0x3041 # KATAKANA LETTER A - HIRAGANA A
def is_hirgana(char):
return 0x3040 < ord(char[0]) and ord(char[0]) < 0x3097
def is_katakana(char):
return 0x30a0 < ord(char[0]) and ord(char[0]) < 0x30f7
def hiragana_to_katakana(hiragana_text):
katakana_text = ""
max_len = 0
for i, char in enumerate(hiragana_text):
if is_hirgana(char):
katakana_text += chr(ord(char) + katakana_minus_hiragana)
max_len += 1
else:
break
return katakana_text, max_len
def katakana_to_hiragana(katakana_text):
hiragana_text = ""
max_len = 0
for i, char in enumerate(katakana_text):
if is_katakana(char):
hiragana_text += chr(ord(char) - katakana_minus_hiragana)
max_len += 1
else:
break
return hiragana_text, max_len
有没有办法简化hiragana_to_katakana()
并katakana_to_hiragana()
变成鸭式函数或超/元函数?
例如像
def convert_hk_kh(text, charset_range, offset):
charset_start, charset_end = charset_range
output_text = ""
max_len = 0
for i, char in enumerate(text):
if charset_start < ord(char[0]) and ord(char[0]) < charset_end:
output_text += chr(ord(char) + offset)
max_len +=1
else:
break
return output_text, max_len
def katakana_to_hiragana(katakana_text):
return convert_hk_kh(katakana_text, (0x30a0, 0x30f7), -katakana_minus_hiragana)
def hiragana_to_katakana(hiragana_text):
return convert_hk_kh(hiragana_text, (0x3040, 0x3097), katakana_minus_hiragana)
还有其他pythonic方法来简化非常相似的两个函数吗?
已编辑
还有https://github.com/olsgaard/Japanese_nlp_scripts似乎与str.translate
. 这样更有效率吗?更蟒蛇?