Open tiagopereira opened 2 years ago
Merging #470 (7c7e11c) into master (3421847) will decrease coverage by
5.32%
. The diff coverage is0.00%
.
@@ Coverage Diff @@
## master #470 +/- ##
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- Coverage 86.75% 81.42% -5.33%
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Files 27 28 +1
Lines 1819 1938 +119
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Hits 1578 1578
- Misses 241 360 +119
Impacted Files | Coverage Δ | |
---|---|---|
src/Interpolations.jl | 79.52% <ø> (ø) |
|
src/weno/weno.jl | 0.00% <0.00%> (ø) |
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interpolate
is a general method that will eventually construct an instance of the interpolation object. (itp::WENO4Interpolation)(x...)
is used when you try to use an instance of the struct as a function.
julia> struct Greeting
salutation::String
end # define a struct
julia> hello = Greeting("Hello") # construct a Greeting instance with salutation == "Hello"
Greeting("Hello")
julia> (g::Greeting)(name) = println(g.salutation * ", " * name) # using an instance
julia> hello("Tiago") # Use the instance as a function (e.g. a Functor)
Hello, Tiago
julia> hola = Greeting("Hola") # construct another Greeting instance with salutation == "Hola"
Greeting("Hola")
julia> hola("Marcos")
Hola, Marcos
julia> Greeting() = Greeting("Hi") # define a constructor for Greeting that takes no arguments... and defaults salutation to "Hi"
Greeting
julia> default = Greeting() # use the new constructor
Greeting("Hi")
julia> default("Mark")
Hi, Mark
This PR is not currently working. I would like to add support for interpolation with a 4th order Weighted Essentially Non-Oscillatory (WENO) scheme, following Janett et al (2019). I wrote the standalone package WENO4.jl (not yet registered) that has been tested to work as it should. This PR is an attempt at bringing the same functionality into Interpolations.jl.
My experience with Julia is limited, and I don't fully understand the abstractions and architecture of Interpolations.jl, so I apologise for the many mistakes in the current PR and would appreciate some help at getting this code working and sufficiently general. This implementation follows closely what I saw in
monotonic.jl
, but I couldn't get my head around all the abstractions. This is the type of usage I was hoping it would get when working:The idea is to follow existing practice of getting a way to generate an interpolant for all input data values and nodes, and then a separate function to evaluate this interpolant at a required point. I have tested and the functions inside, in particular
interpolate
(to build the interpolant) and the function to evaluate the interpolant, currentlyworks if I rewrite it as the standalone function
However, it is not working in the present formulation because I don't really understand the relation between the
interpolate
function and the function with the same name as thestruct
, here calledWENO4Interpolation
.Currently the functions used perform about twice as slow as in the standalone package, which I attribute to the need of generating intermediate arrays. This could also be improved.