In Lean 4, we will support the more general
`a + ·` ==> `fun x, a + x`
`· + b` ==> `fun x, x + b`
`· + ·` ==> `fun x y, x + y`
`f · y` ==> `fun x, f a y`
`g · · b` ==> `fun x y, g x y b`
Old `Nat.repeat` => `Nat.for`
Old `Nat.mrepeat` => `Nat.mfor`
New `Nat.repeat` has type
```
def repeat {α : Type u} (f : α → α) (n : Nat) (a : α) : α :=
``
`List.repeat` => `List.replicate` (like in Haskell)
Avoid weird `ℕ` in List library
We now define nat.le using (nat.ble : nat -> nat -> bool) function.
We will add builtin support for reducing `nat.ble` efficiently when the arguments are the to be added nat literals.
In Lean4, we will not generate non dependent recursors for inductive
predicates. The main goal is to make the shape of the automatically
generated recursors more uniform. The non uniform representation is
leftover from Lean2. In Lean2, we wanted to support different kernels
with different features. For example: we could create proof relevant
kernels, no impredicative universe, etc.
Recall that, in a kernel with an impredicative Prop and no proof
irrelevance, inductive predicates without dependent elimination are
weaker that inductive predicates with dependent elimination.
When proof irrelevance is enabled, we can generate the dependent
recursor from the non dependent one. Actually, the module drec.cpp
generates the dependent recursor.
Now, we only support one kind of kernel, and it doesn't make sense
anymore to generate non dependent recursors for inductive predicates.
This would only produce an unnecessary asymmetry on the inductive
datatype module.
Remark: we had to create non dependent recursors to help the elaborator.
This can be avoid if we improve the elaborator. I will do that in the
new elaborator implemented in Lean.
Remark: equation lemmas are broken for definitions that pattern match on
nested inductive datatypes. The problem is the super messy
`prove_eq_rec_invertible_aux` function. This function will not be needed
after I finish the new inductive datatype support in the kernel.
cc @kha
Most efficient hash functions use uint32/uint64 and produce values
that do not fit in out small nat representation. Thus, GMP big numbers
would have to be created.
