這里有一小段你可以啟發(fā)的代碼。主要思想是使用遞歸函數(shù)。

為簡單起見，我承認(rèn)我已經(jīng)在列表中加載了數(shù)據(jù)，但是你可以在之前從文件中獲取它們：

data_files = [

'data_a.dat',

'data_b.dat',

'data_c.dat',

'data_d.dat',

'data_e.dat',

]

lists = [pickle.load(open(f)) for f in data_files]而且因?yàn)椴]有真正了解你真正需要做的事情，我的目標(biāo)是在四個(gè)第一個(gè)字符上找到匹配：

def do_wathever(string):

print "I have match the string '%s'" % string

lists = [

["hello", "world", "how", "grown", "you", "today", "?"],

["growl", "is", "a", "now", "on", "appstore", "too bad"],

["I", "wish", "I", "grow", "Magnum", "mustache", "don't you?"],

]

positions = [0 for i in range(len(lists))]

def recursive_match(positions, lists):

strings = map(lambda p, l: l[p], positions, lists)

match = True

searched_string = strings.pop(0)[:4]

for string in strings:

if searched_string not in string:

match = False

break

if match:

do_wathever(searched_string)

# increment positions:

new_positions = positions[:]

lists_len = len(lists)

for i, l in enumerate(reversed(lists)):

max_position = len(l)-1

list_index = lists_len - i - 1

current_position = positions[list_index]

if max_position > current_position:

new_positions[list_index] += 1

break

else:

new_positions[list_index] = 0

continue

return new_positions, not any(new_positions)

search_is_finished = False

while not search_is_finished:

positions, search_is_finished = recursive_match(positions, lists)當(dāng)然你可以在這里優(yōu)化很多東西，這是草稿代碼，但是看看recursive function，這是一個(gè)主要的概念。

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