S = lambda x: lambda y: lambda z: x(z)(y(z))
K = lambda x: lambda y: x
I = lambda x: x
That there is runnable code and with it you can implement numbers, math, logic, etc.
That's all the SKI combinators are: those functions. You apply them to themselves in various patterns and they model numbers and arithmetic and programming languages.
In [1]: S = lambda x: lambda y: lambda z: x(z)(y(z))
In [2]: K = lambda x: lambda y: x
In [3]: I = lambda x: x
In [4]: K(I)
Out[4]: <function __main__.<lambda>.<locals>.<lambda>(y)>
In [5]: _(S) is I
Out[5]: True
In [6]: K(I)(S) is I
Out[6]: True
Hint: if you pass it x, y, z where they are functions, it won't complain :) Python is (weakly) typed, so in your case, it tries to call 1(something) and that won't work. In (untyped) Lambda Calculus, everything is a function.
Heh, yeah I did that too when I was wrapping my head around 'em. The
thing to remember is that in SKI combinator logic nothing else exists.
You can't pass 'int' objects to SKI because they don't exist in that
universe. (Obviously you can in the sense that Python will let you do
it, but it's logically meaningless.)
(I had to break out pencil and paper and walk through some evaluations of
SKI expressions by hand.)
Let's have versions of I that also print their names and arg as a side effect:
def E(x):
print('E', x)
return x
def F(x):
print('F', x)
return x
def G(x):
print('G', x)
return x
Consider:
S(E)(F)
Start with the definition of S:
S = lambda x: lambda y: lambda z: x(z)(y(z))
Substitute:
S = lambda E: lambda y: lambda z: E(z)(y(z))
So now S returns this new function (call it S') that has the E function
embedded in the closure:
S' = lambda y: lambda z: E(z)(y(z))
That gets called on F:
S'(F)
Substitute:
S' = lambda F: lambda z: E(z)(F(z))
And this creates S'' with both E and F embedded:
S'' = lambda z: E(z)(F(z))
So the result is a function that takes some function z, calls F on it,
calls G on it, and then calls the result of the first on the result of
the second.
S''(G)
E(G)(F(G))
E(G) -> G ; prints "E <function G at 0x000001E0A4A741F0>"
G(F(G))
F(G) -> G ; prints "F <function G at 0x000001E0A4A741F0>"
G(G)
prints "G <function G at 0x000001E0A4A741F0>"
G <--- G returns itself.
In action:
In [16]: S(E)(F)
Out[16]: <function __main__.<lambda>.<locals>.<lambda>.<locals>.<lambda>(z)>
In [17]: S(E)(F)(G)
E <function G at 0x000001E0A4A741F0>
F <function G at 0x000001E0A4A741F0>
G <function G at 0x000001E0A4A741F0>
Out[17]: <function __main__.G(x)>
Since G is also a version of I we can get away with passing it anything
(not just functions):
In [18]: S(E)(F)(G)("Hi!")
E <function G at 0x000001E0A4A741F0>
F <function G at 0x000001E0A4A741F0>
G <function G at 0x000001E0A4A741F0>
G Hi!
Out[18]: 'Hi!'
That's why you can pass anything to SIII (aka S(I)(I)(I) in Python) and it returns it, because SIII = I.
I think you're definitely getting it, but you're also trying to see how these combinators are useful or at least usable. That's a bit of a tricky question because as @carapace mentions, you'd need to start combining them in interesting ways to get anything useful out of SKI.
In Python:
That there is runnable code and with it you can implement numbers, math, logic, etc.That's all the SKI combinators are: those functions. You apply them to themselves in various patterns and they model numbers and arithmetic and programming languages.
Hope that helps.