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Update homework submission text (#18)
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‎docs/src/lecture_02/hw.md‎

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## How to submit?
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Put all your code (including your or the provided solution of lab 2) in a
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script named `hw.jl` alongside with the `Project.toml` and `Manifest.toml` of
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the environment. Please only include packages in the environment that are
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necessary for the homework. Create a `.zip` archive of the three files and
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send it to the lab instructor, who has assigned the task, via email (contact
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emails are located on the [homepage](@ref emails) of the course).
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Put all your code (including your or the provided solution of lab 2)
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in a script named `hw.jl`. Zip only this file (not its parent folder) and
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upload it to BRUTE. Your file can contain one dependency `using StatsBase`,
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but no other packages are can to be used. For example, having a `using Plots`
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in your code will cause the automatic evaluation to fail.
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2020

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## Counting Agents

‎docs/src/lecture_03/Lab03Ecosystem.jl‎

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using StatsBase
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abstract type Species end
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abstract type Agent{S<:Species} end
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abstract type PlantSpecies <: Species end
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abstract type Grass <: PlantSpecies end
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abstract type AnimalSpecies <: Species end
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abstract type Sheep <: AnimalSpecies end
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abstract type Wolf <: AnimalSpecies end
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abstract type Sex end
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abstract type Male <: Sex end
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abstract type Female <: Sex end
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id(a::Agent) = a.id
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########## World Definition ##################################################
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mutable struct World{A<:Agent}
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agents::Dict{Int,A}
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max_id::Int
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end
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function World(agents::Vector{<:Agent})
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ids = id.(agents)
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length(unique(ids)) == length(agents) || error("Not all agents have unique IDs!")
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World(Dict(id(a)=>a for a in agents), maximum(ids))
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end
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function world_step!(world::World)
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for id in deepcopy(keys(world.agents))
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!haskey(world.agents,id) && continue
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a = world.agents[id]
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agent_step!(a,world)
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end
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end
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function Base.show(io::IO, w::World)
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println(io, typeof(w))
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for (_,a) in w.agents
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println(io," $a")
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end
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end
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########## Plant Definition ##################################################
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mutable struct Plant{P<:PlantSpecies} <: Agent{P}
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id::Int
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size::Int
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max_size::Int
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end
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Base.size(a::Plant) = a.size
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max_size(a::Plant) = a.max_size
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grow!(a::Plant) = a.size += 1
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# constructor for all Plant{<:PlantSpecies} callable as PlantSpecies(...)
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(A::Type{<:PlantSpecies})(id, s, m) = Plant{A}(id,s,m)
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(A::Type{<:PlantSpecies})(id, m) = (A::Type{<:PlantSpecies})(id,rand(1:m),m)
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function agent_step!(a::Plant, w::World)
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if size(a) != max_size(a)
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grow!(a)
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end
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end
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function Base.show(io::IO, p::Plant{P}) where P
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x = size(p)/max_size(p) * 100
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print(io,"$P #$(id(p)) $(round(Int,x))% grown")
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end
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Base.show(io::IO, ::Type{Grass}) = print(io,"🌿")
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########## Animal Definition #################################################
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mutable struct Animal{A<:AnimalSpecies,S<:Sex} <: Agent{A}
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id::Int
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energy::Float64
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Δenergy::Float64
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reprprob::Float64
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foodprob::Float64
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end
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energy(a::Animal) = a.energy
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Δenergy(a::Animal) = a.Δenergy
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reprprob(a::Animal) = a.reprprob
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foodprob(a::Animal) = a.foodprob
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energy!(a::Animal, e) = a.energy = e
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incr_energy!(a::Animal, Δe) = energy!(a, energy(a)+Δe)
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function (A::Type{<:AnimalSpecies})(id::Int, E, ΔE, pr, pf, S=rand(Bool) ? Female : Male)
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Animal{A,S}(id,E,ΔE,pr,pf)
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end
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function agent_step!(a::Animal, w::World)
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incr_energy!(a,-1)
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if rand() <= foodprob(a)
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dinner = find_food(a,w)
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eat!(a, dinner, w)
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end
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if energy(a) <= 0
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kill_agent!(a,w)
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return
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end
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if rand() <= reprprob(a)
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reproduce!(a,w)
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end
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return a
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end
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function find_rand(f, w::World)
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xs = filter(f, w.agents |> values |> collect)
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isempty(xs) ? nothing : sample(xs)
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end
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find_food(a::Animal, w::World) = find_rand(x->eats(a,x),w)
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eats(::Animal{Sheep},p::Plant{Grass}) = size(p)>0
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eats(::Animal{Wolf},::Animal{Sheep}) = true
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eats(::Agent,::Agent) = false
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function eat!(a::Animal{Wolf}, b::Animal{Sheep}, w::World)
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incr_energy!(a, energy(b)*Δenergy(a))
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kill_agent!(b,w)
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end
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function eat!(a::Animal{Sheep}, b::Plant{Grass}, w::World)
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incr_energy!(a, size(b)*Δenergy(a))
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b.size = 0
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end
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eat!(::Animal,::Nothing,::World) = nothing
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function reproduce!(a::A, w::World) where A<:Animal
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b = find_mate(a,w)
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if !isnothing(b)
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energy!(a, energy(a)/2)
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a_vals = [getproperty(a,n) for n in fieldnames(A) if n!=:id]
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new_id = w.max_id + 1
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â = A(new_id, a_vals...)
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w.agents[id(â)] = â
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w.max_id = new_id
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end
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end
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find_mate(a::Animal, w::World) = find_rand(x->mates(a,x),w)
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function mates(a,b)
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error("""You have to specify the mating behaviour of your agents by overloading `mates` e.g. like this:
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mates(a::Animal{S,Female}, b::Animal{S,Male}) where S<:Species = true
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mates(a::Animal{S,Male}, b::Animal{S,Female}) where S<:Species = true
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mates(a::Agent, b::Agent) = false
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""")
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end
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kill_agent!(a::Animal, w::World) = delete!(w.agents, id(a))
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Base.show(io::IO, ::Type{Sheep}) = print(io,"🐑")
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Base.show(io::IO, ::Type{Wolf}) = print(io,"🐺")
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Base.show(io::IO, ::Type{Male}) = print(io,"♂")
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Base.show(io::IO, ::Type{Female}) = print(io,"♀")
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function Base.show(io::IO, a::Animal{A,S}) where {A,S}
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e = energy(a)
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d = Δenergy(a)
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pr = reprprob(a)
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pf = foodprob(a)
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print(io,"$A$S #$(id(a)) E=$e ΔE=$d pr=$pr pf=$pf")
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end

‎docs/src/lecture_03/hw.md‎

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In this homework we will add another species of plant to our simulation
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(*poisoned mushrooms*) and practice the use of closures with callback
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functions.
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The solution of lab 3 can be found on Github for the
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[`World`](https://github.com/JuliaTeachingCTU/EcosystemCore.jl/blob/main/src/world.jl),
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[`Plant`s](https://github.com/JuliaTeachingCTU/EcosystemCore.jl/blob/main/src/plant.jl), and
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[`Animal`s](https://github.com/JuliaTeachingCTU/EcosystemCore.jl/blob/main/src/animal.jl).
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functions. The solution of lab 3 can be found
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[here](https://github.com/JuliaTeachingCTU/Scientific-Programming-in-Julia/blob/master/docs/src/lecture_03/Lab03Ecosystem.jl). You can use this file and add the code that you write
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for the homework to it.
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## How to submit?
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Put all your code (including your or the provided solution of lab 2)
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in a script named `hw.jl`. Zip only this file (not its parent folder) and
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upload it to BRUTE. Your file can contain one dependency `using StatsBase`,
19+
but no other packages are can to be used. For example, having a `using Plots`
20+
in your code will cause the automatic evaluation to fail.
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## Poisoned Mushrooms

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