xgeek116

xgeek116

Fill a list after Enum.Each Loo^p

I’m trying to fill a list from the result of many loops (iterating another list) but the result is always empty here is my code :

list_a = []
list_b =  []
        Enum.each(list_c, fn(item) ->
          {item_a, item_b} = process(item)
          list_a ++ item_a.inner_list
          list_b ++ item_b.inner_list
        end)

For each iteration, item_a and item_b have a list named inner_list, so I tried to concatenate each time that list with the result lists but list_a and list_b are always empty.

Thanks in advance

Marked As Solved

al2o3cr

al2o3cr

Like @LostKobrakai mentioned, scoping is one problem: code inside a do block can’t rebind variables outside of that block in a way that’s visible outside.

The other problem is that ++ makes a new list, it doesn’t mutate either argument. Code like what you posted is pretty common in other languages:

# in Ruby
list_a = []
list_b = []

list_c.each do |item|
  item_a, item_b = process(item)
  list_a.concat(item_a.inner_list)
  list_b.concat(item_b.inner_list)
end
# in Python
list_a = []
list_b = []

for item in list_c:
  item_a, item_b = process(item)
  list_a.extend(item_a.inner_list)
  list_b.extend(item_b.inner_list)

This approach will not work in Elixir. My suggestion is that you temporarily forget you even saw Enum.each; it’s only useful in a very narrow set of situations.


A better way to think about solving these kinds of problems in Elixir is to focus on how the “shape” of the data changes.

As a first step, we want to run process/1 on every element of list_c:

processed_list = Enum.map(list_c, &process/1)

Each element of processed_list is a tuple shaped like {item_a, item_b}.


There are several possibilities here: we could refine these tuples by extracting inner_list, but instead we’ll start by regrouping them.

What we have is a list of 2-element tuples.
What we want is a 2-element tuple of lists (what the original called list_a and list_b)

This kind of transformation comes up often enough that it has a name: Enum.unzip/1. Using it looks like:

tuple_of_lists = Enum.unzip(processed_list)

Now tuple_of_lists is shaped like {list_of_item_as, list_of_item_bs}


Finally, we need to extract the inner_list parts. We could use Enum.map again:

# not quite right - see below for a correct solution
{list_of_as, list_of_bs} = tuple_of_lists
list_a = Enum.map(list_of_as, & &1.inner_list)
list_b = Enum.map(list_of_bs, & &1.inner_list)

but this doesn’t quite do what we’re looking for: it results in list_a and list_b being lists of lists. You could use List.flatten/1, if the values in inner_list are not themselves lists.

BUT

There’s an easier way! Again, what we’re looking for is referenced enough to have a name: Enum.flat_map:

{list_of_as, list_of_bs} = tuple_of_lists
list_a = Enum.flat_map(list_of_as, & &1.inner_list)
list_b = Enum.flat_map(list_of_bs, & &1.inner_list)

Putting all the pieces together gives this code:

processed_list = Enum.map(list_c, &process/1)

tuple_of_lists = Enum.unzip(processed_list)

{list_of_as, list_of_bs} = tuple_of_lists
list_a = Enum.flat_map(list_of_as, & &1.inner_list)
list_b = Enum.flat_map(list_of_bs, & &1.inner_list)

This code can be tidied up with some Elixir syntax goodies:

# squish "processed_list" out of existence since it is bound and then immediately used
tuple_of_lists =
  list_c
  |> Enum.map(&process/1)
  |> Enum.unzip()

{list_of_as, list_of_bs} = tuple_of_lists
list_a = Enum.flat_map(list_of_as, & &1.inner_list)
list_b = Enum.flat_map(list_of_bs, & &1.inner_list)

and even more with then which was recently added:

{list_a, list_b} =
  list_c
  |> Enum.map(&process/1)
  |> Enum.unzip()
  |> then(fn {list_of_as, list_of_bs} ->
    {
      Enum.flat_map(list_of_as, & &1.inner_list),
      Enum.flat_map(list_of_bs, & &1.inner_list)
    }
  end)

This code does exactly the same steps as the first “un-simplified” version, but avoids having to name a bunch of variables that are used exactly once (like processed_items and tuple_of_lists).

Also Liked

Last Post!

al2o3cr

al2o3cr

& here is the “function capture operator”. There’s a great explanation in the Getting Started guide.

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