Like I said, this is likely just a newbie mistake... however, if I have the 
module:
module Foo
export my_new_function, length
import Base.my_new_function
import Base.length
type Bar ; x::Int ; end
length(y::Bar) = 42
my_new_function(y::Bar) = "Thanks for all the fish!"
end

It complains about not being able to import Base.my_new_function.
However, if I don't have that import, then if somebody (like you or Jeff) 
adds their nifty new function into Base, I will get an error trying to do 
using Foo when I try to use the new version...

Scott

On Saturday, April 25, 2015 at 12:31:47 PM UTC-4, Stefan Karpinski wrote:
>
> Scott, I'm not really understanding your problem. Can you give an example?
>
> On Sat, Apr 25, 2015 at 11:53 AM, Scott Jones <[email protected] 
> <javascript:>> wrote:
>
>> A problem I'm running into is the following (maybe the best practice for 
>> this is documented, and I just to stupid to find it!):
>> I have created a set of functions, which use my own type, so they should 
>> never be ambiguous.
>> I would like to export them all, but I have to import any names that 
>> already exist...
>> Then tomorrow, somebody adds that name to Base, and my code no longer 
>> works...
>> I dislike having to explicitly import names to extend something, how am I 
>> supposed to know in advance all the other names that could be used?
>>
>> What am I doing wrong?
>>
>> On Saturday, April 25, 2015 at 11:20:14 AM UTC-4, Stefan Karpinski wrote:
>>>
>>> I think you're probably being overly optimistic about how infrequently 
>>> there will be dispatch ambiguities between unrelated functions that happen 
>>> to have the same name. I would guess that if you try to merge two unrelated 
>>> generic functions, ambiguities will exist more often than not. If you were 
>>> to automatically merge generic functions from different modules, there are 
>>> two sane ways you could handle ambiguities:
>>>
>>>    - warn about ambiguities when merging happens;
>>>    - raise an error when ambiguous calls actually occur.
>>>    
>>> Warning when the ambiguity is caused is how we currently deal with 
>>> ambiguities in individual generic functions. This seems like a good idea, 
>>> but it turns out to be extremely annoying. In practice, there are fairly 
>>> legitimate cases where you can have ambiguous intersections between very 
>>> generic definitions and you just don't care because the ambiguous case 
>>> makes no sense. This is especially true when loosely related modules extend 
>>> shared generic functions. As a result, #6190 
>>> <https://github.com/JuliaLang/julia/issues/6190> has gained a lot of 
>>> support.
>>>
>>> If warning about ambiguities in a single generic function is annoying, 
>>> warning about ambiguities when merging different generic functions that 
>>> happen share a name would be a nightmare. Imagine popular packages A and B 
>>> both export a function `foo`. Initially there are no ambiguities, so things 
>>> are fine. Then B adds some methods to its `foo` that introduce ambiguities 
>>> with A's `foo`. In isolation A and B are both fine – so neither package 
>>> author sees any warnings or problems. But suddenly every package in the 
>>> ecosystem that uses both A and B – which is a lot since they're both very 
>>> popular – is spewing warnings upon loading. Who is responsible? Package A 
>>> didn't even change anything. Package B just added some methods to its own 
>>> function and has no issues in isolation. How would someone using both A and 
>>> B avoid getting these warnings? They would have to stop writing `using A` 
>>> or `using B` and instead explicitly import all the names they need from 
>>> either A or B. To avoid inflicting this on their users, A and B would have 
>>> to carefully coordinate to avoid any ambiguities between all of their 
>>> generic functions. Except that it's not just A and B – it's all packages. 
>>> At that point, why have namespaces with exports at all?
>>>
>>> What if we only raise an error when *making calls* to `foo` that are 
>>> ambiguous between `A.foo` and `B.foo`? This eliminates the warning 
>>> annoyance, which is nice. But it makes code that uses A and B that calls 
>>> `foo` brittle in dangerous ways. Suppose, for example, you call `foo(x,y)` 
>>> somewhere and initially this can only mean `A.foo` so things are fine. But 
>>> then you upgrade B, which adds a method to `B.foo` that also matches the 
>>> call to `foo(x,y)`. Now your code that used to work will fail *at run 
>>> time* – and only when invoked with ambiguous arguments. This case may 
>>> be possible but rare and not covered by your tests. It's a ticking time 
>>> bomb introduced into your code just by upgrading dependencies.
>>>
>>> The way this issue has actually been resolved, if you were using A and B 
>>> and call `foo`, initially only is exported by A, as soon as package B 
>>> starts exporting `foo`, you'll get an error and be forced to explicitly 
>>> disambiguate `foo`. This is a bit annoying, but after you've done that, 
>>> your code will no longer be affected by any changes to `A.foo` or `B.foo` – 
>>> it's safe and permanently unambiguous. This still isn't 100% bulletproof. 
>>> When `B.foo` is initially introduced, your code that used `foo`, expecting 
>>> to call `A.foo`, will break when `foo` is called – but you may not have 
>>> tests to catch this, so it could happen at an inconvenient time. But 
>>> introducing new exports is *far* less common than adding methods to 
>>> existing exports and you are much more likely to have tests that use `foo` 
>>> in *some* way than you are to have tests that exercise a specific 
>>> ambiguous case. In particular, it would be fairly straightforward to check 
>>> if the tests use every name that is referred to anywhere in some code – 
>>> this would be a simple coverage measure. It is completely intractable, on 
>>> the other hand, to determine whether your tests cover all possible 
>>> ambiguities between functions with the same name in all your dependencies.
>>>
>>> Anyway, I hope that's somewhat convincing. I think that the way this has 
>>> been resolved is a good balance between convenient usage and "programming 
>>> in the large".
>>>
>>> On Fri, Apr 24, 2015 at 10:55 PM, Michael Francis <[email protected]> 
>>> wrote:
>>>
>>>> the resolution of that issue seems odd -  If I have two completely 
>>>> unrelated libraries. Say DataFrames and one of my own. I export value( 
>>>> ::MyType) I'm happily using it. Some time later I Pkg.update(), 
>>>> unbeknownst 
>>>> to me the DataFrames dev team have added an export of value( ::DataFrame, 
>>>> ...) suddenly all my code which imports both breaks and I have to go 
>>>> through the entire stack qualifying the calls, as do other users of my 
>>>> module? That doesn't seem right, there is no ambiguity I can see and the 
>>>> multiple dispatch should continue to work correctly.
>>>>
>>>> Fundamentally I want the two value() functions to collapse and not have 
>>>> to qualify them. If there is a dispatch ambiguity then game over, but if 
>>>> there isn't I don't see any advantage (and lots of negatives) to 
>>>> preventing 
>>>> the import.
>>>>
>>>> I'd argue the same is true with overloading methods in Base. Why would 
>>>> we locally mask get if there is no dispatch ambiguity even if I don't 
>>>> importall Base.
>>>>
>>>> Qualifying names seems like an anti pattern in a multiple dispatch 
>>>> world. Except for those edge cases where there is an ambiguity of dispatch.
>>>>
>>>> Am I missing something? Perhaps I don't understand multiple dispatch 
>>>> well enough? 
>>>
>>>
>>>
>

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