分成两个列表一个txt文件python

Question

i need the speedest way to read a txt file and return 2 list.

The file start with some empty rows then there is an*m table that a need to allocate in a list and then some empty rows and a list of words and every rows may contain 1 or more word separated with spaces

this is what i have done but is to slow in my opinion,probably i'm looking for something with iteration

        with open(file) as f:
            sub = ''
            matrix = []
            word = []
            c = 0
            a = False
            for line in f:
                if line == '\n':
                    if c == 1:
                        a = True
                    continue
                if a:
                    l = line.split()
                    for x in l:
                        word.append(x)
                else:
                    sub = line.strip('\n')
                    matrix.append(sub)
                    c = 1
        f.close()
        matrix = [x.upper() for x in matrix]
        word = [x.upper() for x in word]
        return matrix, word

an example file should be: '\\n' is a blank row

example.txt:
\n
\n
\n
jebvoqbfvqoif
feqbfoeqbfoie
qfenfoeiqnfoi
ejfnqoeifboqe
nefoineoifneo
nfeqiofhneoif
enfqoinfeoifn
fewknfoiewnfn
\n
\n
\n
efwhhewof eiwofoiefw fwnenfif
wefioh
wfeno
ewfioef
oefkofeofo

the output should be:

list 1:
[
"jebvoqbfvqoif",
"feqbfoeqbfoie",
"qfenfoeiqnfoi",
"ejfnqoeifboqe",
"nefoineoifneo",
"nfeqiofhneoif",
"enfqoinfeoifn",
"fewknfoiewnfn"]
list 2:
[
"efwhhewof",
"eiwofoiefw", 
"fwnenfif",
"wefioh",
"wfeno",
"ewfioef",
"oefkofeofo"]

Answer 1

One possible solution is using itertools.groupby and itertools.chain (The file sample.txt contains the text you've stated in question)

For example:

from itertools import groupby, chain

with open('sample.txt', 'r') as f_in:
    matrix, words = [[*chain(*map(str.split, g))] for v, g in groupby(map(str.strip, f_in), lambda k: k != '') if v]

from pprint import pprint
pprint(matrix)
pprint(words)

Prints:

['jebvoqbfvqoif',
 'feqbfoeqbfoie',
 'qfenfoeiqnfoi',
 'ejfnqoeifboqe',
 'nefoineoifneo',
 'nfeqiofhneoif',
 'enfqoinfeoifn',
 'fewknfoiewnfn']
['efwhhewof',
 'eiwofoiefw',
 'fwnenfif',
 'wefioh',
 'wfeno',
 'ewfioef',
 'oefkofeofo']