[英]longest common sequence group
鉴于以下几行文字
TOKYO-BLING.1 H02-AVAILABLE
TOKYO-BLING.1 H02-MIDDLING
TOKYO-BLING.1 H02-TOP
TOKYO-BLING.2 H04-USED
TOKYO-BLING.2 H04-AVAILABLE
TOKYO-BLING.2 H04-CANCELLED
WAY-VERING.1 H03-TOP
WAY-VERING.2 H03-USED
WAY-VERING.2 H03-AVAILABLE
WAY-VERING.1 H03-CANCELLED
我想进行一些分析以生成一些合理的分组。 上面的列表可以分为以下几类
TOKYO-BLING.1 H02-AVAILABLE
TOKYO-BLING.1 H02-MIDDLING
TOKYO-BLING.1 H02-TOP
TOKYO-BLING.2 H04-USED
TOKYO-BLING.2 H04-AVAILABLE
TOKYO-BLING.2 H04-CANCELLED
WAY-VERING.2 H03-USED
WAY-VERING.2 H03-AVAILABLE
WAY-VERING.1 H03-TOP
WAY-VERING.1 H03-CANCELLED
任何人都可以提出一种算法(或某种方法),该算法可以扫描给定数量的文本并确定可以按上述方式对文本进行分组。 显然,每个小组都可以走得更远。 我想我正在寻找一个好的解决方案来查看短语列表,并找出如何最好地按一些常见的字符串序列对它们进行分组。
这是一种方法:
示例实现:
def common_count(t0, t1):
"returns the length of the longest common prefix"
for i, pair in enumerate(zip(t0, t1)):
if pair[0] != pair[1]:
return i
return i
def group_by_longest_prefix(iterable):
"given a sorted list of strings, group by longest common prefix"
longest = 0
out = []
for t in iterable:
if out: # if there are previous entries
# determine length of prefix in common with previous line
common = common_count(t, out[-1])
# if the current entry has a shorted prefix, output previous
# entries as a group then start a new group
if common < longest:
yield out
longest = 0
out = []
# otherwise, just update the target prefix length
else:
longest = common
# add the current entry to the group
out.append(t)
# return remaining entries as the last group
if out:
yield out
用法示例:
text = """
TOKYO-BLING.1 H02-AVAILABLE
TOKYO-BLING.1 H02-MIDDLING
TOKYO-BLING.1 H02-TOP
TOKYO-BLING.2 H04-USED
TOKYO-BLING.2 H04-AVAILABLE
TOKYO-BLING.2 H04-CANCELLED
WAY-VERING.1 H03-TOP
WAY-VERING.2 H03-USED
WAY-VERING.2 H03-AVAILABLE
WAY-VERING.1 H03-CANCELLED
"""
T = sorted(t.strip() for t in text.split("\n") if t)
for L in group_by_longest_prefix(T):
print L
这将产生:
['TOKYO-BLING.1 H02-AVAILABLE', 'TOKYO-BLING.1 H02-MIDDLING', 'TOKYO-BLING.1 H02-TOP']
['TOKYO-BLING.2 H04-AVAILABLE', 'TOKYO-BLING.2 H04-CANCELLED', 'TOKYO-BLING.2 H04-USED']
['WAY-VERING.1 H03-CANCELLED', 'WAY-VERING.1 H03-TOP']
['WAY-VERING.2 H03-AVAILABLE', 'WAY-VERING.2 H03-USED']
在此处查看其运行情况: http : //ideone.com/1Da0S
您可以用空格将每个字符串分割开,然后做出dict
。
这是我的方法:
f = open( 'hotels.txt', 'r' ) # read the data
f = f.readlines() # convert to a list of strings (with newlines)
f = [ i.strip() for i in f ] # take off the newlines
h = [ i.split(' ') for i in f ] # split using whitespace
# now h is a list of lists of strings
keys = [ i[0] for i in h ] # keys = ['TOKYO-BLING.1','TOKYO-BLING.1',...]
keys = list( set( keys ) ) # take out redundant elements
d = dict() # start a dict
for i in keys: # initialize dict with empty lists
d[i] = list() # (one for each key)
for i in h: # for each list in h, append a suffix
d[i[0]].append(i[1]) # to the appropriate prefix (or key)
这将产生:
{'TOKYO-BLING.1': ['H02-AVAILABLE', 'H02-MIDDLING', 'H02-TOP'],\
'TOKYO-BLING.2': ['H04-USED', 'H04-AVAILABLE', 'H04-CANCELLED'],\
'WAY-VERING.1': ['H03-TOP', 'H03-CANCELLED'],\
'WAY-VERING.2': ['H03-USED', 'H03-AVAILABLE']}
这是我的,它起初较短:
import os
def prefix_groups(data):
"""Return a dictionary of {prefix:[items]}."""
lines = data[:]
groups = dict()
while lines:
longest = None
first = lines.pop()
for line in lines:
prefix = os.path.commonprefix([first, line])
if not longest:
longest = prefix
elif len(prefix) > len(longest):
longest = prefix
if longest:
group = [first]
rest = [item for item in lines if longest in item]
[lines.remove(item) for item in rest]
group.extend(rest)
groups[longest] = group
else:
# Singletons raise an exception
raise IndexError("No prefix match for {}!".format(first))
return groups
if __name__ == "__main__":
from pprint import pprint
data = """
TOKYO-BLING.1 H02-AVAILABLE
TOKYO-BLING.1 H02-MIDDLING
TOKYO-BLING.1 H02-TOP
TOKYO-BLING.2 H04-USED
TOKYO-BLING.2 H04-AVAILABLE
TOKYO-BLING.2 H04-CANCELLED
WAY-VERING.1 H03-TOP
WAY-VERING.2 H03-USED
WAY-VERING.2 H03-AVAILABLE
WAY-VERING.1 H03-CANCELLED
"""
data = [line.strip() for line in data.split('\n') if line.strip()]
groups = prefix_groups(data)
pprint(groups)
输出:
{'TOKYO-BLING.1 H02-': ['TOKYO-BLING.1 H02-AVAILABLE',
'TOKYO-BLING.1 H02-MIDDLING',
'TOKYO-BLING.1 H02-TOP'],
'TOKYO-BLING.2 H04-': ['TOKYO-BLING.2 H04-USED',
'TOKYO-BLING.2 H04-AVAILABLE',
'TOKYO-BLING.2 H04-CANCELLED'],
'WAY-VERING.1 H03-': ['WAY-VERING.1 H03-TOP', 'WAY-VERING.1 H03-CANCELLED'],
'WAY-VERING.2 H03-': ['WAY-VERING.2 H03-USED', 'WAY-VERING.2 H03-AVAILABLE']}
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