.NDArray = 'ndarray': (T: Type, Shape: [Nat; _]) -> ClassType
.NDArray(T, _) <: Output T
.NDArray(_, _) <: Num
.NDArray(T, S)|<: Add .NDArray(T, S)|.
    Output: {.NDArray(T, S)}
    __add__: (self: .NDArray(T, S), other: .NDArray(T, S)) -> .NDArray(T, S)
.NDArray.
    shape: [Nat; _]
    ndim: Nat
    dtype: Type
    size: Nat
    reshape: |T, Old: [Nat; _], S: [Nat; _]|(
        self: .NDArray(T, Old),
        shape: {S},
    ) -> .NDArray(T, S)

.nan: Float
.Nan: Float

.abs: |T|(object: .NDArray(T),) -> .NDArray(T)
.add: |T, S: [Nat; _]|(object: .NDArray(T, S), other: .NDArray(T, S)) -> .NDArray(T, S)
.all: |T <: Num|(object: .NDArray(T),) -> Bool
.any: |T <: Num|(object: .NDArray(T),) -> Bool
.arange: |T <: Num|(start: T, stop := T, step := T) -> .NDArray(T)
.array: |T, S: [Nat; _]|(object: Iterable(T) and Shape(S),) -> .NDArray(T, S)
.linspace: |T <: Num|(start: T, stop: T, num := Nat, endpoint := Bool, retstep := Bool, dtype := Type, axis := Nat) -> .NDArray(T)
.max: |T <: Num|(object: .NDArray(T),) -> T
.mean: |T <: Num|(object: .NDArray(T),) -> T
.min: |T <: Num|(object: .NDArray(T),) -> T
.ones: |T|(shape: Nat or [Nat; _], dtype := Type) -> .NDArray(T)
.reshapce: |T|(object: .NDArray(T), shape: [Nat; _]) -> .NDArray(T)
.std: |T <: Num|(object: .NDArray(T),) -> T
.sum: |T|(object: .NDArray(T),) -> T
.sqrt: |T|(object: .NDArray(T),) -> .NDArray(T)
.transpose: |T|(object: .NDArray(T), axes := [Nat; _]) -> .NDArray(T)
.zeros: (|N: Nat|(shape: {N}, dtype := Type) -> .NDArray(Nat, [N])) \
    and (|S: [Nat; _]|(shape: {S}, dtype := Type) -> .NDArray(Nat, S))