To be more specific I suppose I should call the variable being passed to 
the function "this", so what I am after is good way to write functions that 
process on and update state, which can either be immutable or not depending 
on what is most efficient for the specific operations:

immutable State
    a
    b
    # ....
    z
end

function process (this::State, input)
    using this
    a = 1 # complicated computation that depends on a, b, c, ... z and input
    b = 2 # complicated computation that depends on a, b, c, ... z and input
    # ...
    z = 26 # complicated computation that depends on a, b, c, ... z and 
input
    return this
end


This is not just about object oriented like programming, but it is a common 
pattern that algorithms share over and over again, so it would be nice to 
have a concise (end computationally efficient) way to express this in Julia.


On Tuesday, June 10, 2014 10:49:56 AM UTC+8, Andrew Simper wrote:
>
> Hi Stefan,
>
> I agree I would rather use an immutable type, what I am trying to work 
> around is the lack of support for some kind of "using" language feature 
> similar to how namespaces work but for instances of a user defined 
> composite type, that would be ideal. Then I can avoid all the obfuscating 
> dot notation to access variables.
>
> type Typename
>     a
>     b
> end
>
> # this would be ideal:
> function calculate (value::Typename)
>     using value
>     a = 1 # complicated algorithm
>     b = 2 # complicated algorithm
>     return value
> end
>
> # warning / error doing this:
> function calculateBad1 (value::Typename)
>     a::Float64
>     using values
>     a = 1 # complicated algorithm
>     b = 2 # complicated algorithm
>     return value
> end
>
> # warning / error doing this:
> function calculateBad2 (value1::Typename, value2::Typename)
>     using value1
>     using value2
>     a = 1 # complicated algorithm
>     b = 2 # complicated algorithm
>     return value1
> end
>
>
> On Tuesday, June 10, 2014 1:10:35 AM UTC+8, Stefan Karpinski wrote:
>>
>> Any time there's an eval in what your macro emits, something's probably 
>> wrong. In this case, however, you can't really avoid it – largely because 
>> you can't do this correctly. The trouble is that the type of the object you 
>> want to bind the fields of is a runtime property, but you want to bind 
>> variables based on it – which is a compile-time property.
>>
>>
>> On Mon, Jun 9, 2014 at 12:55 PM, Nathaniel Nicandro <
>> [email protected]> wrote:
>>
>>> Oh, yes I see that now. Then what you could do is quote the call to 
>>> names() in your macro expression so the names call is executed in the 
>>> calling environment. 
>>>
>>> macro fetch(p)
>>>     return quote
>>>         local vars = names($p)
>>>         local ex = Expr(:block)
>>>         append!(ex.args, [:($v = $p.$v) for v in vars])
>>>         eval(ex)
>>>     end
>>> end
>>>
>>> This is similar to what yo have done at the REPL but it quotes the 
>>> names() call so it can get evaluated in the macro calling environment 
>>> instead of within the macro itself. ex =  Expr(:block) is just another 
>>> quote block with a list of expressions to evaluate in ex.args. Note that 
>>> there is no need to use esc() here because the eval() call happens in the 
>>> calling environment.
>>>
>>>
>>> On Monday, June 9, 2014 10:18:13 AM UTC-5, Andrew Simper wrote:
>>>>
>>>> Yes thanks for pointing that out, but if you look at this thread I 
>>>> already got some help with the |> esc for this type of thing over on 
>>>> another thread https://groups.google.com/forum/#!topic/julia-users/
>>>> UvBff9QVKaA , but I started this thread specifically to find out how 
>>>> to get write a macro using names(obj) to do the work instead of having to 
>>>> write a new fetch macro manually every time I create a new type. 
>>>>
>>>> On Monday, June 9, 2014 11:04:12 PM UTC+8, Nathaniel Nicandro wrote:
>>>>>
>>>>> You can use the esc 
>>>>> <http://julia.readthedocs.org/en/latest/stdlib/base/?highlight=esc#Base.esc>
>>>>>  function 
>>>>> that can introduce variables in the calling environment
>>>>>
>>>>> julia> type Point
>>>>>            x
>>>>>            y
>>>>>        end
>>>>>
>>>>> julia> macro fetch(p)
>>>>>            variables = quote
>>>>>                x = $p.x
>>>>>                y = $p.y
>>>>>            end
>>>>>            return esc(variables)
>>>>>        end
>>>>>
>>>>> julia> p = Point(5, 10)
>>>>> Point(5,10)
>>>>>
>>>>> julia> x
>>>>> ERROR: x not defined
>>>>>
>>>>> julia> y
>>>>> ERROR: y not defined
>>>>>
>>>>> julia> @fetch p;
>>>>>
>>>>> julia> x
>>>>> 5
>>>>>
>>>>> julia> y
>>>>> 10
>>>>>
>>>>>
>>>>>
>>>>> On Saturday, June 7, 2014 2:35:59 AM UTC-5, Andrew Simper wrote:
>>>>>>
>>>>>> A lot of the time it is good to copy a structure to local variables 
>>>>>> and then process on those for efficiency before storing the local values 
>>>>>> back to a structure. To help out with this I'm trying to write  a macro, 
>>>>>> so 
>>>>>> this is what I would like the end result to be:
>>>>>>
>>>>>> Point
>>>>>>     x::Float64
>>>>>>     y::Float64
>>>>>> end
>>>>>>
>>>>>> function process (p::Point)
>>>>>>     local x = p.x;
>>>>>>     local y = p.y;
>>>>>>     # do some processing on x and y
>>>>>>     p.x = x
>>>>>>     p.y = y
>>>>>> end
>>>>>>
>>>>>> and I would like write a macro that does this so the end code would 
>>>>>> like like:
>>>>>>
>>>>>> function process (p::Point)
>>>>>>     @fetch p
>>>>>>     # do some processing on x and y
>>>>>>     @store p
>>>>>> end
>>>>>>
>>>>>> So far I've got this working at the REPL using:
>>>>>>
>>>>>> point = Point (1, 2)
>>>>>> map (eval, ([:($name = point.$name) for name in names(point)]))
>>>>>> println("x=$(x) y=$(y)")
>>>>>>
>>>>>> which prints out: x=1.0 y=2.0
>>>>>>
>>>>>> Can someone please help out turning this into a macro?
>>>>>>
>>>>>>
>>

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