LIBRARY
Math.Tests.Pythagoras
Test for Pythagoras block in both modes: hypotenuse calculation and leg calculation.
Usage
BlockComponents.Math.Tests.Pythagoras()
Behavior
julia
using BlockComponents #hide
using ModelingToolkit #hide
@named sys = BlockComponents.Math.Tests.Pythagoras() #hide
let eqs = full_equations(sys); Base.length(eqs) > 25 ? nothing : eqs end #hide<< @example-block not executed in draft mode >>Source
dyad
"Test for Pythagoras block in both modes: hypotenuse calculation and leg calculation."
test component Pythagoras
"Leg mode: y = sqrt(u1^2 + u2^2)"
pyth_leg = BlockComponents.Math.Pythagoras(u1IsHypotenuse = false) {
"Dyad": {
"placement": {
"diagram": {"iconName": "default", "x1": 180, "y1": 50, "x2": 280, "y2": 150, "rot": 0}
},
"tags": []
}
}
"Hypotenuse mode: y = sqrt(u1^2 - u2^2)"
pyth_hyp = BlockComponents.Math.Pythagoras(u1IsHypotenuse = true) {
"Dyad": {
"placement": {
"diagram": {"iconName": "default", "x1": 170, "y1": 170, "x2": 270, "y2": 270, "rot": 0}
},
"tags": []
}
}
"Input sources"
u1_src = BlockComponents.Sources.Constant(k = 5.0) {
"Dyad": {
"placement": {
"diagram": {"iconName": "default", "x1": 20, "y1": 20, "x2": 120, "y2": 120, "rot": 0}
},
"tags": []
}
}
u2_src = BlockComponents.Sources.Sine(amplitude = 3.0, frequency = 0.5) {
"Dyad": {
"placement": {
"diagram": {"iconName": "default", "x1": 20, "y1": 200, "x2": 120, "y2": 300, "rot": 0}
},
"tags": []
}
}
relations
connect(u1_src.y, pyth_leg.u1) {"Dyad": {"edges": [{"S": 1, "M": [], "E": 2}], "renderStyle": "standard"}}
connect(u2_src.y, pyth_leg.u2) {
"Dyad": {
"edges": [{"S": 1, "M": [], "E": -1}, {"S": -1, "M": [{"x": 140, "y": 130}], "E": 2}],
"junctions": [{"x": 140, "y": 250}],
"renderStyle": "standard"
}
}
connect(u1_src.y, pyth_hyp.u1) {
"Dyad": {
"edges": [{"S": 1, "M": [], "E": -1}, {"S": -1, "M": [{"x": 150, "y": 190}], "E": 2}],
"junctions": [{"x": 150, "y": 70}],
"renderStyle": "standard"
}
}
connect(u2_src.y, pyth_hyp.u2) {"Dyad": {"edges": [{"S": 1, "M": [], "E": 2}], "renderStyle": "standard"}}
metadata {
"Dyad": {
"icons": {"default": "dyad://BlockComponents/Example.svg"},
"tests": {
"case1": {
"stop": 5,
"expect": {"signals": ["u1_src.y", "u2_src.y", "pyth_leg.y", "pyth_hyp.y"]}
}
}
}
}
endFlattened Source
dyad
"Test for Pythagoras block in both modes: hypotenuse calculation and leg calculation."
test component Pythagoras
"Leg mode: y = sqrt(u1^2 + u2^2)"
pyth_leg = BlockComponents.Math.Pythagoras(u1IsHypotenuse = false) {
"Dyad": {
"placement": {
"diagram": {"iconName": "default", "x1": 180, "y1": 50, "x2": 280, "y2": 150, "rot": 0}
},
"tags": []
}
}
"Hypotenuse mode: y = sqrt(u1^2 - u2^2)"
pyth_hyp = BlockComponents.Math.Pythagoras(u1IsHypotenuse = true) {
"Dyad": {
"placement": {
"diagram": {"iconName": "default", "x1": 170, "y1": 170, "x2": 270, "y2": 270, "rot": 0}
},
"tags": []
}
}
"Input sources"
u1_src = BlockComponents.Sources.Constant(k = 5.0) {
"Dyad": {
"placement": {
"diagram": {"iconName": "default", "x1": 20, "y1": 20, "x2": 120, "y2": 120, "rot": 0}
},
"tags": []
}
}
u2_src = BlockComponents.Sources.Sine(amplitude = 3.0, frequency = 0.5) {
"Dyad": {
"placement": {
"diagram": {"iconName": "default", "x1": 20, "y1": 200, "x2": 120, "y2": 300, "rot": 0}
},
"tags": []
}
}
relations
connect(u1_src.y, pyth_leg.u1) {"Dyad": {"edges": [{"S": 1, "M": [], "E": 2}], "renderStyle": "standard"}}
connect(u2_src.y, pyth_leg.u2) {
"Dyad": {
"edges": [{"S": 1, "M": [], "E": -1}, {"S": -1, "M": [{"x": 140, "y": 130}], "E": 2}],
"junctions": [{"x": 140, "y": 250}],
"renderStyle": "standard"
}
}
connect(u1_src.y, pyth_hyp.u1) {
"Dyad": {
"edges": [{"S": 1, "M": [], "E": -1}, {"S": -1, "M": [{"x": 150, "y": 190}], "E": 2}],
"junctions": [{"x": 150, "y": 70}],
"renderStyle": "standard"
}
}
connect(u2_src.y, pyth_hyp.u2) {"Dyad": {"edges": [{"S": 1, "M": [], "E": 2}], "renderStyle": "standard"}}
metadata {
"Dyad": {
"icons": {"default": "dyad://BlockComponents/Example.svg"},
"tests": {
"case1": {
"stop": 5,
"expect": {"signals": ["u1_src.y", "u2_src.y", "pyth_leg.y", "pyth_hyp.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.Math.Tests.Pythagoras()
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 = 5e+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.u1_src.y])
dfr_case1 = try CSV.read(joinpath(snapshotsdir, "BlockComponents.Math.Tests.Pythagoras_case1_sig0.ref"), DataFrame); catch e; nothing; end
plt = plot(sol_case1, idxs=[model_case1.u1_src.y], width=2, label="Actual value of u1_src.y")
if !isnothing(dfr_case1)
scatter!(plt, dfr_case1.t, dfr_case1.expected, mc=:red, ms=3, label="Expected value of u1_src.y")
end<< @setup-block not executed in draft mode >>julia
plt<< @example-block not executed in draft mode >>julia
df_case1 = DataFrame(:t => sol_case1[:t], :actual => sol_case1[model_case1.u2_src.y])
dfr_case1 = try CSV.read(joinpath(snapshotsdir, "BlockComponents.Math.Tests.Pythagoras_case1_sig1.ref"), DataFrame); catch e; nothing; end
plt = plot(sol_case1, idxs=[model_case1.u2_src.y], width=2, label="Actual value of u2_src.y")
if !isnothing(dfr_case1)
scatter!(plt, dfr_case1.t, dfr_case1.expected, mc=:red, ms=3, label="Expected value of u2_src.y")
end<< @setup-block not executed in draft mode >>julia
plt<< @example-block not executed in draft mode >>julia
df_case1 = DataFrame(:t => sol_case1[:t], :actual => sol_case1[model_case1.pyth_leg.y])
dfr_case1 = try CSV.read(joinpath(snapshotsdir, "BlockComponents.Math.Tests.Pythagoras_case1_sig2.ref"), DataFrame); catch e; nothing; end
plt = plot(sol_case1, idxs=[model_case1.pyth_leg.y], width=2, label="Actual value of pyth_leg.y")
if !isnothing(dfr_case1)
scatter!(plt, dfr_case1.t, dfr_case1.expected, mc=:red, ms=3, label="Expected value of pyth_leg.y")
end<< @setup-block not executed in draft mode >>julia
plt<< @example-block not executed in draft mode >>julia
df_case1 = DataFrame(:t => sol_case1[:t], :actual => sol_case1[model_case1.pyth_hyp.y])
dfr_case1 = try CSV.read(joinpath(snapshotsdir, "BlockComponents.Math.Tests.Pythagoras_case1_sig3.ref"), DataFrame); catch e; nothing; end
plt = plot(sol_case1, idxs=[model_case1.pyth_hyp.y], width=2, label="Actual value of pyth_hyp.y")
if !isnothing(dfr_case1)
scatter!(plt, dfr_case1.t, dfr_case1.expected, mc=:red, ms=3, label="Expected value of pyth_hyp.y")
end<< @setup-block not executed in draft mode >>julia
plt<< @example-block not executed in draft mode >>Related
Examples
Experiments
Analyses
Tests