Reputation: 21116
I have a tuple of tuples and a tuple. I'm interested to know which elements of the first tuple match the second tuple (if any), considering partial matches too.
This is a filter function to demonstrate what I mean.
def f(repo):
pattern = (None, None, '1.3')
for idx, item in enumerate(pattern):
if item != None and item != repo[idx]:
return False
return True
>>> repo = (('framework', 'django', '1.3'), ('cms', 'fein', '1.3'), ('cms', 'django-cms', '2.2'))
>>> filter(f, repo)
(('framework', 'django', '1.3'), ('cms', 'fein', '1.3'))
The filter is useless in this form because the pattern can't be provided externally as an argument (I want to use the same function to check different inputs). Is there a way to fix this?
And, what could be another algorithm to embrace for a better approach to the original problem?
Upvotes: 2
Views: 8254
Reputation: 137420
You can use the following expression:
repo = (('framework', 'django', '1.3'), ('cms', 'fein', '1.3'), ('cms', 'django-cms', '2.2'))
p = (None, None, '1.3')
matches = [i for i in repo if i[0]==p[0] or i[1]==p[1] or i[2]==p[2]]
or use closure, such as this:
def matcher(pattern):
def pattern_matcher(repo):
for idx, item in enumerate(pattern):
if item is not None and item != repo[idx]:
return False
return True
return pattern_matcher
and then can be invoked like this:
filter(matcher(pattern), repo)
Upvotes: 1
Reputation: 880329
In [43]: [r for r in repo if all((p is None or q==p) for q,p in zip(r,pattern))]
Out[43]: [('framework', 'django', '1.3'), ('cms', 'fein', '1.3')]
Upvotes: 2
Reputation: 375774
You can use a closure to bind the pattern into the function:
def matcher(pattern):
def f(repo):
return all(p is None or r == p for r, p in zip(repo, pattern))
return f
>>> repo = (('framework', 'django', '1.3'), ('cms', 'fein', '1.3'), ('cms', 'django-cms', '2.2'))
>>> pattern = (None, None, '1.3')
>>> filter(matcher(pattern), repo)
(('framework', 'django', '1.3'), ('cms', 'fein', '1.3'))
I've also provided a different expression for comparing the tuples.
Upvotes: 4
Reputation: 53859
Why don't you use the built-in filter
:
>>> filter(lambda x: x[2] == '1.3', repo)
<<< (('framework', 'django', '1.3'), ('cms', 'fein', '1.3'))
...or a list comprehension:
>>> [x for x in repo if x[2] == '1.3']
<<< [('framework', 'django', '1.3'), ('cms', 'fein', '1.3')]
If you wanted to wrap it up into a function:
types = {'desc': 0, 'name': 1, 'version': 2}
def repo_filter(type, critera, repo=repo, types=types):
return [x for x in repo if x[types[type]] == critera]
>>> repo_filter('version', '1.3')
<<< [('framework', 'django', '1.3'), ('cms', 'fein', '1.3')]
Upvotes: 7
Reputation: 29121
What about:
def f(repo, pattern=None):
if not pattern:
pattern = (None, None, '1.3')
for idx, item in enumerate(pattern):
if item and item != repo[idx]:
return False
return True
repo = (('framework', 'django', '1.3'), ('cms', 'fein', '1.3'), ('cms', 'django-cms', '2.2'))
[x for x in repo if f(x)]
>>>[('framework', 'django', '1.3'), ('cms', 'fein', '1.3')]
[x for x in repo if f(x, ('cms',None, None))]
>>> [('cms', 'fein', '1.3'), ('cms', 'django-cms', '2.2')]
Upvotes: 1
Reputation: 222288
def my_filter(pattern, repo):
def f
pattern = (None, None, '1.3')
for idx, item in enumerate(pattern):
if item != None and item != repo[idx]:
return False
return True
return filter(f, repo)
my_filter((None, None, '1.3'), repo)
Upvotes: 1