In Jupyter it is convenient to dump JS library code to the notebook when
"using Module" is run. This is simple to do in the Module's __init__(), and
saves a ton of memory since later visualizations can share this common JS
library code.
However, if a user re-executes the cell, the library code
pe that Julia introduces for every
> parameterized type; `Name1` is different from `Name1{S}`).
>
> Since Julia uses single inheritance, you also need to have either
> `Name1 <: S` or `S <: Name1`. Both would be strange, since they would
> introduce a relation between `N
stract, what is the purpose of the type parameter? In other
> words,
> > what is the ultimate goal you're reaching for?
> >
> > //T
> >
> > On Saturday, April 2, 2016 at 3:17:34 AM UTC+2, Scott Lundberg wrote:
> >>
> >> You can define:
&
You can define:
abstract Name1{S <: Name2} <: Name3{S}
but I want to define:
abstract Name1{S <: Name2} <: S
However the second line does not work. Is there some other way to
accomplish the same thing? Thanks!
I am trying to define a 2D matrix using the literal notation:
m = [a b; c d]
...but where the elements can be long function calls for example:
m = [
my_long_function_call(with, many, arguments, even="optional",
ones=true)
my_long_function_call(with, many, arguments, even="optional",
o
