Put this comparison in a function! The current behavior is what I wish '=='
to do, and what millions of lines of Python code assume. A tuple is not a
list is not an array. I don't want an equality comparison to lie to me.
You can write a few lines to implement 'has_same_items(a, b)' that will
behave the way you want.
On Sat, May 2, 2020, 2:36 PM Ahmed Amr <ahmedam...@gmail.com> wrote:
> I see there are ways to compare them item-wise, I'm suggesting to bake
> that functionality inside the core implementation of such indexed
> structures.
> Also those solutions are direct with tuples and lists, but it wouldn't be
> as direct with arrays-lists/tuples comparisons for example.
>
> On Sat, 2 May 2020, 6:58 pm Antoine Rozo, <antoine.r...@gmail.com> wrote:
>
>> (and a check on the length or zip_longest to ensure that there is no
>> other items)
>>
>> Le sam. 2 mai 2020 à 18:53, Antoine Rozo <antoine.r...@gmail.com> a
>> écrit :
>> >
>> > And if you can't / don't want to create new lists for the values you
>> > want to compare, a solution could be to use zip & all builtins:
>> >
>> > print(all(a == b for a, b in zip(tuple_, list_)))
>> >
>> > Le sam. 2 mai 2020 à 16:58, Steele Farnsworth <swfarnswo...@gmail.com>
>> a écrit :
>> > >
>> > > You can get the desired behavior by casting a list to a tuple, or a
>> tuple to a list, in the equality statement. That way those that rely on the
>> existing implementation don't have to change their code.
>> > >
>> > > my_tup = (1, 2, 3)
>> > > my_list = [1, 2, 3]
>> > > print(list(my_tup) == my_list)
>> > >
>> > > On Sat, May 2, 2020, 9:04 AM Ahmed Amr <ahmedam...@gmail.com> wrote:
>> > >>
>> > >> I'd like to take your opinion on modifying some of the indexed
>> collections like tuples, lists, arrays to evaluate its equality to True
>> when having the same items in the same indexes.
>> > >> Currently, when comparing a list of items to an array of the same
>> items for equality (==) it returns False, I'm thinking that it would make
>> sense to return True in that context, as we're comparing item values and we
>> have the same way of indexing both collections, so we can compare item
>> values.
>> > >>
>> > >> So what do you think about applying such behavior on collections
>> that can be indexed the same way such as tuples, lists, and arrays?
>> > >>
>> > >> Example: (Current)
>> > >>
>> > >> import array
>> > >> tuple_ = (1.1, 2.2, 3.3)
>> > >> list_ = [1.1, 2.2, 3.3]
>> > >> array_ = array.array('f', [1.1, 2.2, 3.3])
>> > >>
>> > >> # all of the following prints False.
>> > >> print(tuple_ == list_)
>> > >> print(tuple_ == array_)
>> > >> print(array_ == list_)
>> > >>
>> > >> Example: (Proposed):
>> > >> All prints above to show True as they are populated with the same
>> data in the same indexes.
>> > >>
>> > >> A Side Note:
>> > >> An extra point to discuss, based on arrays implementation,
>> array_.to_list() would actually get [1.100000023841858, 2.200000047683716,
>> 3.299999952316284] which is not exactly what we've passed as args and this
>> is normal, but I'm thinking about leaving it to the array implementation to
>> encapsulate that implementation and perform exact equality based on passed
>> arguments.
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>> >
>> >
>> > --
>> > Antoine Rozo
>>
>>
>>
>> --
>> Antoine Rozo
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