Да, используйте строку регулярного выражения r'\[+(.*?)\]'
. Это должно показать, что происходит.
EDIT:
with open(filename, 'r') as f:
weights = ''
for line in f:
weights += line
Это очень, очень медленно. Просто сделай
with open(filename) as f:
weights = f.read()
weights = '''[[ 0.47135318 0.47360223 -0.29183203 -0.20285653 -0.24205938 0.44837664
0.46629536 -0.37894324 -0.56180424 0.39049615 -0.2712361 -0.47643767
-0.23300994 -0.44815785 -0.2259743 -0.05906764 0.45864844 0.10246178
-0.51351896 0.74671963 -0.18561933 -0.69961443 -0.07254306 0.45491038
0.56867757 -0.03060815 -0.51135513 -0.04696331 -0.78495142 -0.42022865
0.42385724 0.24696444 0.46327183 0.18657349 0.04442976 -0.21097974
-0.67817945 0.69659755 0.3935923 0.08655193] [ 0.6741357 0.61594194
-0.41379963 -0.5800664 -0.21569918 0.54299051
0.31068042 -0.5772656 -0.80237417 0.77145391 -0.34012795 -0.65051644
-0.35222124 -0.60855949 -0.28849176 -0.49884114 0.67613887 0.0866989
-0.57734352 0.62752623 -0.31577458 -0.77615056 0.05771168 0.51538359
0.61697831 -0.2529181 -0.66507973 -0.20273329 -0.79521598 -0.51694596
0.40731803 0.44272373 0.64829285 0.74434366 0.21153787 0.00787646
-0.89556612 0.7784237 0.49065378 0.5832486 ]]''' # just as example
res = [[float(x) for x in a.split()]
for a in re.findall(r'\[+(.*?)\]', weights, re.DOTALL)]
Выходы
[[0.47135318,
0.47360223,
-0.29183203,
-0.20285653,
-0.24205938,
0.44837664,
0.46629536,
-0.37894324,
-0.56180424,
0.39049615,
-0.2712361,
-0.47643767,
-0.23300994,
-0.44815785,
-0.2259743,
-0.05906764,
0.45864844,
0.10246178,
-0.51351896,
0.74671963,
-0.18561933,
-0.69961443,
-0.07254306,
0.45491038,
0.56867757,
-0.03060815,
-0.51135513,
-0.04696331,
-0.78495142,
-0.42022865,
0.42385724,
0.24696444,
0.46327183,
0.18657349,
0.04442976,
-0.21097974,
-0.67817945,
0.69659755,
0.3935923,
0.08655193],
[0.6741357,
0.61594194,
-0.41379963,
-0.5800664,
-0.21569918,
0.54299051,
0.31068042,
-0.5772656,
-0.80237417,
0.77145391,
-0.34012795,
-0.65051644,
-0.35222124,
-0.60855949,
-0.28849176,
-0.49884114,
0.67613887,
0.0866989,
-0.57734352,
0.62752623,
-0.31577458,
-0.77615056,
0.05771168,
0.51538359,
0.61697831,
-0.2529181,
-0.66507973,
-0.20273329,
-0.79521598,
-0.51694596,
0.40731803,
0.44272373,
0.64829285,
0.74434366,
0.21153787,
0.00787646,
-0.89556612,
0.7784237,
0.49065378,
0.5832486]]