I am trying to validate a list say:
X = ['a','c', 'c', 'b', 'd','d','d']
against a custom ordered list:
Y = ['a',b','d']
In this case X validated against Y should return True regardless of the extra elements and duplicates in it as long as it goes with the order in Y and contains at least two elements.
Case Examples:
X = ['a','b'] # Returns True
X = ['d','a', 'a', 'c','b'] # Returns False
X = ['c','a','b', 'b', 'c'] # Returns True
The most I can do right now is remove the duplicates and extra elements. I am not trying to sort them using the custom list. I just need to validate the order. What I done or at least tried is to create a dictionary where the value is the index of the order. Can anyone point me in the right direction?
from itertools import zip_longest, groupby
okay = list(x == y for y, (x, _) in zip_longest(
(y for y in Y if y in X), groupby(x for x in X if x in Y)))
print(len(okay) >= 2 and all(okay))
First we discard unnecessary elements from both lists. Then we can use groupby to collapse sequences of the same elements of X. For example, your first example ['a', 'c', 'c', 'b', 'd', 'd', 'd'] first becomes ['a', 'c', 'c', 'b'] (by discarding the unnecessary'd'), then[('a', _), ('c', _), ('b', _)]. If we compare its keys element by element to the Y without the unnecessary bits, and there are at least 2 of them, we have a match. If the order was violated (e.g. ['b', 'c', 'c', 'a', 'd', 'd', 'd'], there would have been a False in okay, and it would fail. If an extra element appeared somewhere, there would be a comparison with None (thanks to zip_longest), and again a False would have been in okay.
This can be improved by use of sets to speed up the membership lookup.
Create a new list from X that only contains the elements from Y without duplicates. Then, similarly, remove all elements from Y not contained in X and deduplicate. Then your check is just a simple equality check.
def deduplicate(iterable):
seen = set()
return [seen.add(x) or x for x in iterable if x not in seen]
def goes_with_order(X, Y):
Xs = set(X); Ys = set(Y)
X = deduplicate(x for x in X if x in Ys)
Y = deduplicate(y for y in Y if y in Xs)
return X == Y
Related
In my case
list A = [a,a,a,b,b,c]
I have to find the occurrence of the elements available in the list and print their counts
For example print as a=3, b =2 and c =1
Just use JavaScript. The filter() operation is perfect for this:
* def data = ['a', 'c', 'b', 'c', 'c', 'd']
* def count = data.filter(x => x == 'c').length
* assert count == 3
Further reading: https://github.com/karatelabs/karate#json-transforms
I have a program which producing and modifying a list of "n" elements/members, n remaining constant throughout a particular run of the program. (The value of "n" might change in the next run).
Each member in the list is a "sub-list"! Each of these sub-list elements are not only of variable lengths, but are also dynamic and might keep changing while the program keeps running.
So, eventually, at some given point, my list would look something like (assuming n=3):
[['1', '2'], ['a', 'b', 'c', 'd'], ['x', 'y', 'z']]
I want the output to be like the following:
['1ax', '1ay', '1az', '1bx', '1by', '1bz',
'1cx', '1cy', '1cz', '1dx', '1dy', '1dz',
'2ax', '2ay', '2az', '2bx', '2by', '2bz',
'2cx', '2cy', '2cz', '2dx', '2dy', '2dz']
i.e. a list with exactly (2 * 3 * 4) elements where each element is of length exactly 3 and has exactly 1 member from each of the "sub-lists".
Easiest is itertools.product:
from itertools import product
lst = [['1', '2'], ['a', 'b', 'c', 'd'], ['x', 'y', 'z']]
output = [''.join(p) for p in product(*lst)]
# OR
output = list(map(''.join, product(*lst)))
# ['1ax', '1ay', '1az', '1bx', '1by', '1bz',
# '1cx', '1cy', '1cz', '1dx', '1dy', '1dz',
# '2ax', '2ay', '2az', '2bx', '2by', '2bz',
# '2cx', '2cy', '2cz', '2dx', '2dy', '2dz']
A manual implementation specific to strings could look like this:
def prod(*pools):
if pools:
*rest, pool = pools
for p in prod(*rest):
for el in pool:
yield p + el
else:
yield ""
list(prod(*lst))
# ['1ax', '1ay', '1az', '1bx', '1by', '1bz',
# '1cx', '1cy', '1cz', '1dx', '1dy', '1dz',
# '2ax', '2ay', '2az', '2bx', '2by', '2bz',
# '2cx', '2cy', '2cz', '2dx', '2dy', '2dz']
Hello everyone I have a list of lists values such as :
list_of_values=[['A','B'],['A','B','C'],['D','E'],['A','C'],['I','J','K','L','M'],['J','M']]
and I would like to keep within that list, only the lists where I have the highest amount of values.
For instance in sublist1 : ['A','B'] A and B are also present in the sublist2 ['A','B','C'], so I remove the sublist1.
The same for sublist4.
the sublist6 is also removed because J and M were present in a the longer sublist5.
at the end I should get:
list_of_no_redundant_values=[['A','B','C'],['D','E'],['I','J','K','L','M']]
other exemple =
list_of_values=[['A','B'],['A','B','C'],['B','E'],['A','C'],['I','J','K','L','M'],['J','M']]
expected output :
[['A','B','C'],['B','E'],['I','J','K','L','M']]
Does someone have an idea ?
mylist=[['A','B'],['A','C'],['A','B','C'],['D','E'],['I','J','K','L','M'],['J','M']]
def remove_subsets(lists):
outlists = lists[:]
for s1 in lists:
for s2 in lists:
if set(s1).issubset(set(s2)) and (s1 is not s2):
outlists.remove(s1)
break
return outlists
print(remove_subsets(mylist))
This should result in [['A', 'B', 'C'], ['D', 'E'], ['I', 'J', 'K', 'L', 'M']]
I have a list that contains multiple sets of strings, and I would like to find the symmetric difference between each string and the other strings in the set.
For example, I have the following list:
targets = [{'B', 'C', 'A'}, {'E', 'C', 'D'}, {'F', 'E', 'D'}]
For the above, desired output is:
[2, 0, 1]
because in the first set, A and B are not found in any of the other sets, for the second set, there are no unique elements to the set, and for the third set, F is not found in any of the other sets.
I thought about approaching this backwards; finding the intersection of each set and subtracting the length of the intersection from the length of the list, but set.intersection(*) does not appear to work on strings, so I'm stuck:
set1 = {'A', 'B', 'C'}
set2 = {'C', 'D', 'E'}
set3 = {'D', 'E', 'F'}
targets = [set1, set2, set3]
>>> set.intersection(*targets)
set()
The issue you're having is that there are no strings shared by all three sets, so your intersection comes up empty. That's not a string issue, it would work the same with numbers or anything else you can put in a set.
The only way I see to do a global calculation over all the sets, then use that to find the number of unique values in each one is to first count all the values (using collections.Counter), then for each set, count the number of values that showed up only once in the global count.
from collections import Counter
def unique_count(sets):
count = Counter()
for s in sets:
count.update(s)
return [sum(count[x] == 1 for x in s) for s in sets]
Try something like below:
Get symmetric difference with every set. Then intersect with the given input set.
def symVal(index,targets):
bseSet = targets[index]
symSet = bseSet
for j in range(len(targets)):
if index != j:
symSet = symSet ^ targets[j]
print(len(symSet & bseSet))
for i in range(len(targets)):
symVal(i,targets)
Your code example doesn't work because it's finding the intersection between all of the sets, which is 0 (since no element occurs everywhere). You want to find the difference between each set and the union of all other sets. For example:
set1 = {'A', 'B', 'C'}
set2 = {'C', 'D', 'E'}
set3 = {'D', 'E', 'F'}
targets = [set1, set2, set3]
result = []
for set_element in targets:
result.append(len(set_element.difference(set.union(*[x for x in targets if x is not set_element]))))
print(result)
(note that the [x for x in targets if x != set_element] is just the set of all other sets)
keys = ['a','H','c','D','m','l']
values = ['a','c','H','D']
category = []
for index, i in enumerate(keys):
for j in values:
if j in i:
category.append(j)
break
if index == len(category):
category.append("other")
print(category)
My expected output is ['a', 'H', 'c', 'D', 'other', 'other']
But i am getting ['a', 'other', 'H', 'c', 'D', 'other']
EDIT: OP edited his question multiple times.
Python documentation break statement:
It terminates the nearest enclosing loop.
You break out of the outer loop using the "break" statement. The execution never even reaches the inner while loop.
Now.. To solve your problem of categorising strings:
xs = ['Am sleeping', 'He is walking','John is eating']
ys = ['walking','eating','sleeping']
categories = []
for x in xs:
for y in ys:
if y in x:
categories.append(y)
break
categories.append("other")
print(categories) # ['sleeping', 'walking', 'eating']
Iterate over both lists and check if any categories match. If they do append to the categories list and continue with the next string to categorise. If didn't find any matching category (defined by the count of matched categories being less than the current index (index is 0 based, so they are shifted by 1, which means == is less than in this case) then categorise as "other.