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| Started by | Neil Cerutti <neilc@norwich.edu> |
|---|---|
| First post | 2011-07-26 13:24 +0000 |
| Last post | 2011-07-26 14:05 -0400 |
| Articles | 3 — 3 participants |
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Is this overuse a context manager? Neil Cerutti <neilc@norwich.edu> - 2011-07-26 13:24 +0000
Re: Is this overuse a context manager? Ethan Furman <ethan@stoneleaf.us> - 2011-07-26 11:08 -0700
Re: Is this overuse a context manager? Terry Reedy <tjreedy@udel.edu> - 2011-07-26 14:05 -0400
| From | Neil Cerutti <neilc@norwich.edu> |
|---|---|
| Date | 2011-07-26 13:24 +0000 |
| Subject | Is this overuse a context manager? |
| Message-ID | <997tgtFqlhU1@mid.individual.net> |
I use them all the time now, even when the resource being managed
is used for just one line, and never need be assigned an explicit
name. Is it good style, or annoying?
with open(in_fname, newline='') as in_file:
folk = list(csv.DictReader(in_file))
The obvious alternative is:
folk = list(csv.DictReader(open(in_fname, newline='')))
With the many files I have to process, I find the with statements
create a visual structure that is helpful to track how many files
I'm working with at once.
The existence of the context also usually forces me to think more
carefully about how long I really need that resource.
But maybe I'm being a bit zeallous.
--
Neil Cerutti
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| From | Ethan Furman <ethan@stoneleaf.us> |
|---|---|
| Date | 2011-07-26 11:08 -0700 |
| Message-ID | <mailman.1504.1311702796.1164.python-list@python.org> |
| In reply to | #10335 |
Neil Cerutti wrote: > I use them all the time now, even when the resource being managed > is used for just one line, and never need be assigned an explicit > name. Is it good style, or annoying? > > with open(in_fname, newline='') as in_file: > folk = list(csv.DictReader(in_file)) > > The obvious alternative is: > > folk = list(csv.DictReader(open(in_fname, newline=''))) I can see that it might take some getting used to, but I suspect the context managers are the better style: it clearly denotes the lifespan of the managed object, and provides for resource clean-up. (I know, files are already automatically cleaned up -- at least in cpython; but not every managed object will be a file.) ~Ethan~
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| From | Terry Reedy <tjreedy@udel.edu> |
|---|---|
| Date | 2011-07-26 14:05 -0400 |
| Message-ID | <mailman.1505.1311703567.1164.python-list@python.org> |
| In reply to | #10335 |
On 7/26/2011 9:24 AM, Neil Cerutti wrote: > I use them all the time now, even when the resource being managed > is used for just one line, and never need be assigned an explicit > name. Is it good style, or annoying? Annoying to you? or an actual or imagined audience? > > with open(in_fname, newline='') as in_file: > folk = list(csv.DictReader(in_file)) This closes the file immediately. > > The obvious alternative is: > > folk = list(csv.DictReader(open(in_fname, newline=''))) This happens to close the file immediately on current CPython since the file object is immediately deleted, but will not on some other implementations. If a process only opens a couple of files ever, that does not matter too much, although I believe the process shutdown procudure may warn about unclosed resources. I sometimes do this, but know what is involved. That is partly habit. > With the many files I have to process, I find the with statements > create a visual structure that is helpful to track how many files > I'm working with at once. If processing a directory of thousands of files, I would definitely use the with statement. > The existence of the context also usually forces me to think more > carefully about how long I really need that resource. It definitely makes it easier to find file opens in the code, should you wish to revise. There is also an aesthetic quality to cleanly closing things as soon as possible. > But maybe I'm being a bit zeallous. The stdlib test code has become zealous on this and other issues as it is intended to be usable by all conforming implementations. We need more zealous people like you to help with tests (and other code) ;-). So I would stick with your style. -- Terry Jan Reedy
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