LIBRARY
Sources.Tests.IntegerConstant
Test that validates the IntegerConstant source.
A constant Integer source is converted to Real via IntegerToReal so the constant output can be snapshotted as a trajectory. Two cases cover a positive and a negative constant:
case1:k = 5, sotoReal.y = 5.0for the whole simulation.case2:k = -3, sotoReal.y = -3.0for the whole simulation.
Usage
BlockComponents.Sources.Tests.IntegerConstant()
Behavior
julia
using BlockComponents #hide
using ModelingToolkit #hide
@named sys = BlockComponents.Sources.Tests.IntegerConstant() #hide
let eqs = full_equations(sys); Base.length(eqs) > 25 ? nothing : eqs end #hide<< @example-block not executed in draft mode >>Source
dyad
"""
Test that validates the IntegerConstant source.
A constant Integer source is converted to Real via `IntegerToReal` so the
constant output can be snapshotted as a trajectory. Two cases cover a positive
and a negative constant:
- `case1`: `k = 5`, so `toReal.y = 5.0` for the whole simulation.
- `case2`: `k = -3`, so `toReal.y = -3.0` for the whole simulation.
"""
test component IntegerConstant
"Constant Integer source"
source = BlockComponents.Sources.IntegerConstant(k = 5) {
"Dyad": {
"placement": {
"diagram": {"iconName": "default", "x1": 20, "y1": 20, "x2": 120, "y2": 120, "rot": 0}
}
}
}
"Converts the Integer output to Real"
toReal = BlockComponents.Math.IntegerToReal() {
"Dyad": {
"placement": {
"diagram": {"iconName": "default", "x1": 155, "y1": 20, "x2": 255, "y2": 120, "rot": 0}
}
}
}
relations
"Connects the constant Integer output to the converter"
connect(source.y, toReal.u) {"Dyad": {"edges": [{"S": 1, "M": [], "E": 2}], "renderStyle": "standard"}}
metadata {
"Dyad": {
"icons": {"default": "dyad://BlockComponents/Example.svg"},
"tests": {
"case1": {"stop": 1, "expect": {"signals": ["toReal.y"]}},
"case2": {"stop": 1, "params": {"source.k": -3}, "expect": {"signals": ["toReal.y"]}}
}
}
}
endFlattened Source
dyad
"""
Test that validates the IntegerConstant source.
A constant Integer source is converted to Real via `IntegerToReal` so the
constant output can be snapshotted as a trajectory. Two cases cover a positive
and a negative constant:
- `case1`: `k = 5`, so `toReal.y = 5.0` for the whole simulation.
- `case2`: `k = -3`, so `toReal.y = -3.0` for the whole simulation.
"""
test component IntegerConstant
"Constant Integer source"
source = BlockComponents.Sources.IntegerConstant(k = 5) {
"Dyad": {
"placement": {
"diagram": {"iconName": "default", "x1": 20, "y1": 20, "x2": 120, "y2": 120, "rot": 0}
}
}
}
"Converts the Integer output to Real"
toReal = BlockComponents.Math.IntegerToReal() {
"Dyad": {
"placement": {
"diagram": {"iconName": "default", "x1": 155, "y1": 20, "x2": 255, "y2": 120, "rot": 0}
}
}
}
relations
"Connects the constant Integer output to the converter"
connect(source.y, toReal.u) {"Dyad": {"edges": [{"S": 1, "M": [], "E": 2}], "renderStyle": "standard"}}
metadata {
"Dyad": {
"icons": {"default": "dyad://BlockComponents/Example.svg"},
"tests": {
"case1": {"stop": 1, "expect": {"signals": ["toReal.y"]}},
"case2": {"stop": 1, "params": {"source.k": -3}, "expect": {"signals": ["toReal.y"]}}
}
}
}
endTest Cases
julia
using BlockComponents
using DyadInterface: TransientAnalysis, rebuild_sol, ODEAlg
using ModelingToolkit: toggle_namespacing, get_initial_conditions, @named
using CSV, DataFrames, Plots
snapshotsdir = joinpath(dirname(dirname(pathof(BlockComponents))), "test", "snapshots")<< @setup-block not executed in draft mode >>Test Case case1
julia
@named model_case1 = BlockComponents.Sources.Tests.IntegerConstant()
model_case1 = toggle_namespacing(model_case1, false)
model_case1 = toggle_namespacing(model_case1, true)
result_case1 = TransientAnalysis(; model = model_case1, alg = ODEAlg.Auto(), start = 0e+0, stop = 1e+0, abstol=1e-6, reltol=1e-6)
sol_case1 = rebuild_sol(result_case1)<< @setup-block not executed in draft mode >>julia
df_case1 = DataFrame(:t => sol_case1[:t], :actual => sol_case1[model_case1.toReal.y])
dfr_case1 = try CSV.read(joinpath(snapshotsdir, "BlockComponents.Sources.Tests.IntegerConstant_case1_sig0.ref"), DataFrame); catch e; nothing; end
plt = plot(sol_case1, idxs=[model_case1.toReal.y], width=2, label="Actual value of toReal.y")
if !isnothing(dfr_case1)
scatter!(plt, dfr_case1.t, dfr_case1.expected, mc=:red, ms=3, label="Expected value of toReal.y")
end<< @setup-block not executed in draft mode >>julia
plt<< @example-block not executed in draft mode >>Test Case case2
julia
@named model_case2 = BlockComponents.Sources.Tests.IntegerConstant(source.k=-3)
model_case2 = toggle_namespacing(model_case2, false)
model_case2 = toggle_namespacing(model_case2, true)
result_case2 = TransientAnalysis(; model = model_case2, alg = ODEAlg.Auto(), start = 0e+0, stop = 1e+0, abstol=1e-6, reltol=1e-6)
sol_case2 = rebuild_sol(result_case2)<< @setup-block not executed in draft mode >>julia
df_case2 = DataFrame(:t => sol_case2[:t], :actual => sol_case2[model_case2.toReal.y])
dfr_case2 = try CSV.read(joinpath(snapshotsdir, "BlockComponents.Sources.Tests.IntegerConstant_case2_sig0.ref"), DataFrame); catch e; nothing; end
plt = plot(sol_case2, idxs=[model_case2.toReal.y], width=2, label="Actual value of toReal.y")
if !isnothing(dfr_case2)
scatter!(plt, dfr_case2.t, dfr_case2.expected, mc=:red, ms=3, label="Expected value of toReal.y")
end<< @setup-block not executed in draft mode >>julia
plt<< @example-block not executed in draft mode >>Related
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