我有以下功能,它是填字游戏解算器的一部分:
def CrosswordPossibleWords(p_words, p_cw_words):
"""For each word found in the crossword, find the possible words and keep track of the one with the minimum possible words.
Keyword arguments:
p_words -- The dictionary words.
p_cw_words -- The crossword word attributes.
"""
l_min = 999999999
l_min_index = -1
l_index = 0
l_choices = []
for l_cw_word in p_cw_words:
if l_cw_word[2] >= l_min_length and '-' in l_cw_word[4]:
pattern = re.compile('^' + l_cw_word[4].replace('.', '%').replace('-', '.').upper() + '$', re.UNICODE)
l_choice = []
for l_word in [w for w in p_words if len(w) == len(l_cw_word[4])]:
if re.match(pattern, l_word):
l_choice.append(l_word)
l_choices.append(l_choice)
if len(l_choice) < l_min:
l_min_index = l_index
l_min = len(l_choice)
else:
l_choices.append([])
l_index = l_index + 1
return (l_choices, l_min_index)
填字游戏的形式如下:
[row, col, length, direction, word]
如果我无法解决该字词,我会在'.'
中找到'-'
,如果我不知道该字母,我会{{1}}。
如何更快地制作此代码?目前运行大约需要2.5秒。正在考虑使用numpy字符串;因为显然numpy快了10倍,但我对numpy一无所知,也不知道我是否能够使用所有当前的字符串函数。
有什么想法吗?
答案 0 :(得分:1)
您可以在调用此函数之前按字长对字典进行分区,因此无需在每次调用时重新执行此操作。
答案 1 :(得分:1)
虽然我同意Scott Hunter的观点,但你可能正在寻找类似的东西,其中列表被替换为dicts:
def CrosswordPossibleWords(p_words, p_cw_words):
"""For each word found in the crossword, find the possible words and keep track of the one with the minimum possible words.
Keyword arguments:
p_words -- The dictionary words.
p_cw_words -- The crossword word attributes.
"""
l_min = 999999999
l_min_index = -1
l_index = 0
l_choices = {} # using dict instead of list
for l_cw_word in p_cw_words:
if l_cw_word[2] >= l_min_length and '-' in l_cw_word[4]:
pattern = re.compile('^' + l_cw_word[4].replace('.', '%').replace('-', '.').upper() + '$', re.UNICODE)
l_choice = {} # using dict instead of list
for l_word in [w for w in p_words if len(w) == len(l_cw_word[4])]:
if re.match(pattern, l_word):
l_choice[l_word]=None
l_choices[l_choice]=None
if len(l_choice) < l_min: ##
l_min_index = l_index ## Get rid of this.
l_min = len(l_choice) ##
else:
l_choices.append([]) # why append empty list?
l_index = l_index + 1
l_choices=list(l_choices.keys()) # ...you probably need the list again...
return (l_choices, l_min_index)