> Sorry. I wanted to say AbstractInt not Int.
`Integer` is the abstract datatype. Anyway the answer is: no, it does
not help. To make fast code Julia must know the memory layout of a
type, which can only be known for a concrete type.
> Then will this abstract annotation help?
>
> On Sunday, October 11, 2015 at 6:07:35 PM UTC+2, Kristoffer Carlsson wrote:
>>
>> Int is a concrete type. On x64 it is Int64 and on x86 it is Int32.
>>
>> On Sunday, October 11, 2015 at 5:41:11 PM UTC+2, cheng wang wrote:
>>>
>>> In `performance tips`, there is an example:
>>> function foo(a::Array{Any,1})
>>> x = a[1]::Int32
>>> b = x+1
>>> ...
>>> end
>>> It say the annotation ::Int32 helps in this case.
>>>
>>> So I was wondering if it still helps in the following case with abstract
>>> type annotation??
>>> function foo(a::Array{Any,1})
>>> x = a[1]::Int
>>> b = x+1
>>> ...
>>> end
>>> Here the annotation is ::Int.
>>>
>>> Thanks!
>>>
>>
