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| Started by | Peter Otten <__peter__@web.de> |
|---|---|
| First post | 2015-06-03 12:59 +0200 |
| Last post | 2015-06-03 12:59 +0200 |
| Articles | 1 — 1 participant |
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Re: What sort of data structure to use? Peter Otten <__peter__@web.de> - 2015-06-03 12:59 +0200
| From | Peter Otten <__peter__@web.de> |
|---|---|
| Date | 2015-06-03 12:59 +0200 |
| Subject | Re: What sort of data structure to use? |
| Message-ID | <mailman.100.1433329169.13271.python-list@python.org> |
David Aldrich wrote:
> Hi
>
> I have written a Python utility that performs a certain activity on some
> predefined sets of files. Here is the outline of what I have written:
>
> # File Set A
> pathA = 'pathA'
> fileListA = ['fileA1.txt', 'fileA2.txt']
>
> # File Set B
> pathB = 'pathB'
> fileListB = ['fileB1.txt', 'fileB2.txt', 'fileB3.txt']
>
> myFunc1(pathA, fileListA)
> myFunc2(pathA, fileListA)
>
> myFunc1(pathB, fileListB)
> myFunc2(pathB, fileListB)
>
> I want to add more file sets, so I really want to add the sets to a list
> and iterate over the list, calling myFunc1 & myFunc2 for each item.
>
> My question is: what sort of data structure could I use to organise this,
> given that I want to associate a set of files with each path and that, for
> each set, there is an arbitrary number of files?
I'd start simple and put (path, files) pairs into a list:
path_files_pairs = [
("pathA", ["fileA1.txt", "fileA2.txt", ...]),
("pathB", ["fileB1.txt", ...]),
]
for path, files in path_files_pairs:
func1(path, files)
func2(path, files)
You can always add complications later:
import glob
import os
class VirtualFileset:
def __init__(self, folder, pattern):
self.folder = folder
self.pattern = pattern
def __iter__(self):
yield self.folder
yield glob.glob(os.path.join(self.folder, self.pattern))
path_files_pairs = [
("pathA", ["fileA1.txt", "fileA2.txt", ...]),
("pathB", ["fileB1.txt", ...]),
VirtualFileset("pathC", "*.py"), # all python files in directory "pathC"
]
for path, files in path_files_pairs:
func1(path, files)
func2(path, files)
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