Using Modules
Last updated on 2023-09-15 | Edit this page
Overview
Questions
- “What’s the purpose of modules?”
Objectives
- “Structure your code using modules”
- “Use Revise.jl to track changes”
Modules
Melissa now has a bunch of definitions in her running Julia session and using the REPL for interactive exploration is great, but it is more and more taxing to keep in mind what is defined, and all the definitions are lost once she closes the REPL.
That is why she decides to put her code in a file. She opens up her
text editor and creates a file called aim_trebuchet.jl
in
the current working directory and pastes the code she got so far in
there. This is what it looks like:
JULIA
using Pkg
Pkg.activate("projects/trebuchet")
import Trebuchet as Trebuchets
using ForwardDiff: gradient
mutable struct Trebuchet <: AbstractVector{Float64}
counterweight::Float64
release_angle::Float64
end
Base.size(trebuchet::Trebuchet) = tuple(2)
Base.getindex(trebuchet::Trebuchet, i::Int) = getfield(trebuchet, i)
function Base.setindex!(trebuchet::Trebuchet, v, i::Int)
if i === 1
trebuchet.counterweight = v
elseif i === 2
trebuchet.release_angle = v
else
error("Trebuchet only accepts indices 1 and 2, yours is $i")
end
end
struct Environment
wind::Float64
target_distance::Float64
end
function shoot_distance(args...)
Trebuchets.shoot(args...)[2]
end
function shoot_distance(trebuchet::Trebuchet, env::Environment)
shoot_distance(env.wind, trebuchet.release_angle, trebuchet.counterweight)
end
function aim(trebuchet::Trebuchet, environment::Environment; ε = 1e-1, η = 0.05)
better_trebuchet = copy(trebuchet)
hit = x -> (shoot_distance([environment.wind, x[2], x[1]]) - environment.target_distance)
while abs(hit(better_trebuchet)) > ε
grad = gradient(hit, better_trebuchet)
better_trebuchet -= η * grad
end
return Trebuchet(better_trebuchet[1], better_trebuchet[2])
end
imprecise_trebuchet = Trebuchet(500.0, 0.25pi)
environment = Environment(5, 100)
precise_trebuchet = aim(imprecise_trebuchet, environment)
shoot_distance(precise_trebuchet, environment)
Now Melissa can run include("aim_trebuchet.jl")
in the
REPL to execute her code.
She also recognizes that she has a bunch of definitions at the beginning that she doesn’t need to execute more than once in a session and some lines at the end that use these definitions which she might run more often. She will split these in two separate files and put the definitions into a module. The module will put the definitions into their own namespace which is the module name. This means Melissa would need to put the module name before each definition if she uses it outside of the module. But she remembers from the Using the package manager Episode that she can export names that don’t need to be prefixed.
She names her module MelissasModule
and accordingly the
file MelissasModule.jl
. From this module she exports the
names aim
, shoot_distance
,
Trebuchet
and Environment
. This way she can
leave her other code unchanged.
JULIA
module MelissasModule
using Pkg
Pkg.activate("projects/trebuchet")
import Trebuchet as Trebuchets
using ForwardDiff: gradient
export aim, shoot_distance, Trebuchet, Environment
mutable struct Trebuchet <: AbstractVector{Float64}
counterweight::Float64
release_angle::Float64
end
Base.size(trebuchet::Trebuchet) = tuple(2)
Base.getindex(trebuchet::Trebuchet, i::Int) = getfield(trebuchet, i)
function Base.setindex!(trebuchet::Trebuchet, v, i::Int)
if i === 1
trebuchet.counterweight = v
elseif i === 2
trebuchet.release_angle = v
else
error("Trebuchet only accepts indices 1 and 2, yours is $i")
end
end
struct Environment
wind::Float64
target_distance::Float64
end
function shoot_distance(args...)
Trebuchets.shoot(args...)[2]
end
function shoot_distance(trebuchet::Trebuchet, env::Environment)
shoot_distance(env.wind, trebuchet.release_angle, trebuchet.counterweight)
end
function aim(trebuchet::Trebuchet, environment::Environment; ε = 1e-1, η = 0.05)
better_trebuchet = copy(trebuchet)
hit = x -> (shoot_distance([environment.wind, x[2], x[1]]) - environment.target_distance)
while abs(hit(better_trebuchet)) > ε
grad = gradient(hit, better_trebuchet)
better_trebuchet -= η * grad
end
return Trebuchet(better_trebuchet[1], better_trebuchet[2])
end
end # MelissasModule
The rest of the code goes to a file she calls
MelissasCode.jl
.
JULIA
using .MelissasModule
imprecise_trebuchet = Trebuchet(500.0, 0.25pi)
environment = Environment(5, 100)
precise_trebuchet = aim(imprecise_trebuchet, environment)
shoot_distance(precise_trebuchet, environment)
Now she can include MelissasModule.jl
once, and change
and include MelissasCode.jl
as often as she wants. But what
if she wants to make changes to the module? If she changes the code in
the module, re-includes the module and runs her code again, she only
gets a bunch of warnings, but her changes are not applied.
Revise.jl
Revise.jl
is a package that can keep track of changes in
your files and load these in a running Julia session.
Melissa needs to take two things into account:
-
using Revise
must come beforeusing
any Package that she wants to be tracked - she should use
includet
instead ofinclude
for included files (t
for “tracking”)
Thus she now runs
JULIA
using Revise
includet(joinpath(path,"MelissasModule.jl"))
include(joinpath(path,"MelissasCode.jl"))
OUTPUT
100.05601729579894
where path
is the path to her files.
and any change she makes in MelissasModule.jl
will be
visible in the next run of her code.
Did I say any changes?
Well, almost any. Revise can’t track changes to structures.
Key Points
- “Modules introduce namespaces”
- “Public API has to be documented and can be exported”