These aren’t the reducing functions you are looking for by Christophe Grand.
From the post:
Transducers are powerful and easy to grasp when they claim they transform reducing functions. However once you scratch their surface you quickly realize that’s not their true nature: they transform stateful processes.
In a previous post, I explained why seeded transduce forces transducers to return stateful reducing functions. However this can be fixed. The current implementation of
transducereads:
…
Heavy sledding but the leading edge always is. Relevance depends on your need for/dedication to advancing a paradigm.
I first saw this in a tweet by Johnathan Winandy.