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SethTisue on 2.13.x

Error on bad unapplySeq type I… Merge pull request #9715 from s… (compare)

Soren
@srnb_gitlab
I'd better get back to learning things I don't know about so I can graduate high school :sob:
ritschwumm
@ritschwumm
@srnb_gitlab afaik applescript spoke japanese, too - with a slightly un-japanese grammar, though.
David

Could you help me to create this algorithm?

Implement in Scala an algorithm which allows to find the first occurrence of a character in a string. If the character is found, return its position in the sequence, otherwise return -1. String = ”Scala”, Character = ' c'→ 1

Martijn Hoekstra
@martijnhoekstra
what have you tried so far, where are you getting stuck?
David
I have no idea how to start, I am beginner in this language
Martijn Hoekstra
@martijnhoekstra
here is a start for basics in the language: https://docs.scala-lang.org/tour/basics.html
Renan Reis
@renanreismartins

Hello, I'm going through the Functional Programming in Scala and on the chapter about State we have:
case class State[S, +A](run: S => (A, S))

then we have a method
def simulateMachine(inputs: List[Input]): State[Machine, (Int, Int)]

later on:

val m: Machine = Machine(true, 5, 10)
Candy.simulateMachine(inputs).run(m)

What is making me confused is that "m" is of type machine and "run" expects a "S => (A, S)" function... so how could I pass Machine to "run"?

Gavin Bisesi
@Daenyth
In this case simulateMachine's S is Machine
State[Machine, *] so run takes S which is Machine
run provides the "initial" state, and then things go from there
Luis Miguel Mejía Suárez
@BalmungSan
@renanreismartins run does not expects a function, run IS A function, you are calling it with the initial state.
Renan Reis
@renanreismartins
Rob Norris
@tpolecat
There is no way you would have known.
Renan Reis
@renanreismartins
@BalmungSan when you say run is a function, where is it defined?
Fabio Labella
@SystemFw
State has a field run of type S => (A, S) (a function from S to a tuple of A and S)
when you say .run, you access that field
when you add (), you call Function.apply (under the hood) therefore passing the S to the function
the S type parameter in this case is equal to Machine, which is why you can pass a Machine to the function
Renan Reis
@renanreismartins
@SystemFw thanks for the explanation. Kinda makes sense to me, but where is the definition of run where it takes the S and makes it on a (A, S) ?
Luis Miguel Mejía Suárez
@BalmungSan
@renanreismartins yeah no worries about the thread, sorry if I sounded rude.
Fabio already explained it pretty well but maybe this helps, the code is expanded like this:
Candy.simulateMachine(inputs).run.apply(m) // we are calling the apply method on the run value which is an instance of the function class
Martijn Hoekstra
@martijnhoekstra
if you have a val x: Int => Int it's a value that returns a function
Luis Miguel Mejía Suárez
@BalmungSan
Here: final case class State[S, +A](run: S => (A, S)) when you create an State you have to pass a Function.
Basically the State data type is just a convenient wrapper over a S => (A, S) Function.
Fabio Labella
@SystemFw
@renanreismartins actually, that's the key conceptual point about State

when you create an State you have to pass a Function.

I think this view is confusing

but where is the definition of run where it takes the S and

so you have various State computations, right?

which you can combine together with map and flatMap and pure etc
Renan Reis
@renanreismartins
yes
Fabio Labella
@SystemFw
so, those computations are building the function
so what's the starting point?
the initial mini functions that get combined together
those are the primitive State computation, i.e get and put

I think this view is confusing

so actually I take this back

you can build a State computation by passing the function
and that's how get and put are built
Renan Reis
@renanreismartins
@SystemFw yes, the example from the book is quite complex, at least for me, the way he creates that function, so Im trying to decompose
Fabio Labella
@SystemFw
or, you can build State computations based on other State computations
ok, so what State represents is a sequence of transformations over an S
Renan Reis
@renanreismartins

Do you guys have a simple example?

The way the book creates the computation:

def simulateMachine(inputs: List[Input]): State[Machine, (Int, Int)] = for {
_ <- sequence(inputs map (modify[Machine] _ compose update))
s <- get
} yield (s.coins, s.candies)
Fabio Labella
@SystemFw
which will result in an A
that's what State[S, A] means, "a sequence of transformation over an S, which will result in an A"
does this bit make sense?
I will get to simple examples soon, once the main concepts are clarified :)
Renan Reis
@renanreismartins

that's what State[S, A] means, "a sequence of transformation over an S, which will result in an A"

yes

Fabio Labella
@SystemFw
ok, so once you have built this sequence of transformations, you pass the initial state, and you get back the result A (and the final new state, which is also of type S)
does this also make sense?
this is what you do when you write mySequenceOfTransformationsWhichIsStateSA.run(initialState)
Renan Reis
@renanreismartins
Also does, looks like very much with Random number Generator, previously on the chapter. Till here i can follow you

this is what you do when you write mySequenceOfTransformationsWhichIsStateSA.run(initialState)

perfect :)