Numerical arrays with native storage

// Native typed loops; every input and result keeps an explicit dtype.
let x = Array<Float64>(size: 3, fill: 0.0)
x.set(0, 1.0)
x.set(1, 2.0)
x.set(2, 3.0)
let y = x.scale(factor: 2.0)
print(y.to_list())
print(x.sum())
print(x.mean())
print(x.dot(y))
print(x.cumsum().to_list())
print(x.variance())
print(x.std())
print(x.add(y).to_list())
let matrix = x.to_tensor(rows: 1, cols: 3)
print(type_of(matrix))
let integers = DynamicArray<Int64>(capacity: 3)
integers.append(1)
integers.append(2)
integers.append(3)
print(integers.to_float().scale(0.5).to_list())