diff --git a/core/test/run_models_test.jl b/core/test/run_models_test.jl index fc6c5e66d..d7d1bf71b 100644 --- a/core/test/run_models_test.jl +++ b/core/test/run_models_test.jl @@ -222,6 +222,11 @@ end # flows are recorded at the end of each period, and are undefined at the start @test unique(table.time) == Ribasim.datetimes(model)[1:(end - 1)] + + @test isfile(joinpath(dirname(toml_path), "results/concentration.arrow")) + table = Ribasim.concentration_table(model) + @test "Continuity" in table.substance + @test all(isapprox.(table.concentration[table.substance .== "Continuity"], 1.0)) end @testitem "basic arrow model" begin diff --git a/python/ribasim_testmodels/ribasim_testmodels/basic.py b/python/ribasim_testmodels/ribasim_testmodels/basic.py index f431150a7..8618631de 100644 --- a/python/ribasim_testmodels/ribasim_testmodels/basic.py +++ b/python/ribasim_testmodels/ribasim_testmodels/basic.py @@ -5,7 +5,7 @@ import numpy as np import pandas as pd import ribasim -from ribasim.config import Node +from ribasim.config import Experimental, Node from ribasim.input_base import TableModel from ribasim.nodes import ( basin, @@ -26,6 +26,7 @@ def basic_model() -> ribasim.Model: starttime="2020-01-01", endtime="2021-01-01", crs="EPSG:28992", + experimental=Experimental(concentration=True), ) model.logging = ribasim.Logging(verbosity="debug") diff --git a/python/ribasim_testmodels/ribasim_testmodels/discrete_control.py b/python/ribasim_testmodels/ribasim_testmodels/discrete_control.py index 745efc563..c325fbfb5 100644 --- a/python/ribasim_testmodels/ribasim_testmodels/discrete_control.py +++ b/python/ribasim_testmodels/ribasim_testmodels/discrete_control.py @@ -1,6 +1,6 @@ import numpy as np import pandas as pd -from ribasim.config import Node +from ribasim.config import Experimental, Node from ribasim.model import Model, Solver from ribasim.nodes import ( basin, @@ -604,6 +604,7 @@ def continuous_concentration_condition_model() -> Model: endtime="2020-02-01", crs="EPSG:28992", solver=Solver(saveat=86400 / 8), + experimental=Experimental(concentration=True), ) basi = model.basin.add(