cgarciae
Hi,
I want to propose an extension to the language that enables it to express branched computations using the pipe |> operator. Here is a basic example of how it could be used:
def add(a, b), do: a + b
def mul(a, b), do: a * b
...
assert [4, 7, 20] ==
2
|> [
add(2),
add(5),
mul(10)
]
As you see the essence would be to be able to pipe into a list with operations, and the piped value is distributed among the operations in the list, and a list is returned. The previous would be equivalent to:
assert [4, 7, 20] ==
[
2 |> add(2),
2 |> add(5),
2 |> mul(10)
]
I am bringing this idea from a python library I made for TensorFlow where I implement a small DSL to achieve this. You can view an example here: GitHub - cgarciae/tensorbuilder: TensorBuilder is a TensorFlow library enables you to easily create complex deep neural networks by leveraging the phi DSL to help define their structure. · GitHub
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Eiji
@cgarciae: How about this code:
In your case it will look like:
OvermindDL1
Or even like this so it is more traditionally pipe’y:
And used like:
Side Note: I’m noticing a lot of replies to old posts that have no replies, just trying to answer old posts or so?
Eiji
@OvermindDL1: Good macro, but it’s a little bigger code, anyway good job!
Today, I have more time so I decided to at least try to answer for as much unanswered questions as possible (no matter if old or not).
btw. It could be helpful if I could sort by 2 or more columns … For example firstly sort by replies count and then sort by category.
OvermindDL1
Yep, but it gives a more natural piping syntax. Could even change it up more too, like by another operator or something, or just parenthesis ‘sub-piping’ or so.
Cool.
The discourse API is pretty simple (simple JSON endpoints) so no capability sadly. We need a new Discourse, written in Elixir, that uses GraphQL instead of plain JSON.
OvermindDL1
Could do a wrapper around the pipe too:
Used like:
Or could just outright replace the pipe too with a macro…