an inline loop (it repeatedly calls a block with data, then sets data to the output.)
Operators with a dropdown to select the operation (I'm aware that this doesn't relate to Functional programming, I just wanted it)
I'm excited to implement functional movement, where you pass in a pair of coordinates, and it generates a set of movements that can be run internally. My plan is to abstract away the movement, so that the user thinks that the block is returning a new object at different coordinates.
Aargh I should have seen this a week ago, but somehow I've gotten about 50 threads behind the forum and I missed it. I'm looking forward to seeing where you take this.
Your THEN block has a specific first step built into it. I get that you're still developing that block and didn't announce it as ready.
What is the purpose of your RUN block for reporters? I mean, why not just use CALL?
I have two suggestions about the naming of the loop block. First, the ➞ suggests that that second input slot is just the return value of the function, but it's also the input value. And also, the × symbol suggests to me that you're actually multiplying something by the following (third) input. That's why I used # for a similar purpose in the list processing library. It's the number of times to do something.
But in fact there's a standard math notation for f(f(...(f(x)))): fn(x). So you could say supposing you don't want to do fancy formatting of the block with spaces and $nl .
But that's just a suggestion; it's your language and you should use a notation that feels comfortable to you.
Thanks! Even though it doesn't report the new object, it helped me see that I reversed the trig functions. (I thought it was like the unit circle. I was wrong.)
There's also 3 imperative list blocks you already removed: add, replace, delete. Replacing these by functional blocks, and without imperative commands under the hood, isn't trivial because of the dictionary features introduced with Snap! 8.
supposing you don't want to do fancy formatting of the block with spaces and $nl .
