What is the best way to process a text file of delimited strings?
I've got a file where strings are quoted with at-signs, @like this@.
At-signs in the string are represented as doubled @@.
What's the most efficient way to process this? Failing all
else I will split the string into characters and use a FSM,
but it seems that's not very pythonesqe.
@rv@ 2 @db.locks@ @//depot/hello.txt@ @mh@ @mh@ 1 1 44
@pv@ 0 @db.changex@ 44 44 @mh@ @mh@ 1118875308 0 @ :@@: :@@@@: @
(this is from a perforce journal file, btw)
Many TIA!
Mark
--
Mark Harrison
Pixar Animation Studios
Jul 19 '05
10  1782 
Leif K-Brooks wrote: Mark Harrison wrote:
What is the best way to process a text file of delimited strings?
I've got a file where strings are quoted with at-signs, @like this@.
At-signs in the string are represented as doubled @@.
import re
_at_re = re.compile('(?< !@)@(?!@)')
def split_at_line(l ine):
... return [field.replace(' @@', '@') for field in
... _at_re.split(li ne)]
...
split_at_li ne('foo@bar@@ba z@qux')
['foo', 'bar@baz', 'qux']
The plot according to the OP was that the @s were quotes, NOT delimiters. This thread has been closed and replies have been disabled. Please start a new discussion. Similar topics | |
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