From d6d15f39fb903dd7a05ffe1f68723839bc46e88d Mon Sep 17 00:00:00 2001 From: Mirek Kratochvil Date: Mon, 16 May 2022 13:45:18 +0200 Subject: [PATCH 1/2] bemp version 1.3.1 --- Project.toml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/Project.toml b/Project.toml index 957cbb127..042ec4e94 100644 --- a/Project.toml +++ b/Project.toml @@ -1,7 +1,7 @@ name = "COBREXA" uuid = "babc4406-5200-4a30-9033-bf5ae714c842" authors = ["The developers of COBREXA.jl"] -version = "1.3.0" +version = "1.3.1" [deps] Distributed = "8ba89e20-285c-5b6f-9357-94700520ee1b" From 6184ca1d54df090b68397f48b4f227d336229cfc Mon Sep 17 00:00:00 2001 From: Mirek Kratochvil Date: Mon, 16 May 2022 13:48:32 +0200 Subject: [PATCH 2/2] leftover trailing spaces --- src/base/types/wrappers/GeckoModel.jl | 4 ++-- test/analysis/gecko.jl | 2 +- 2 files changed, 3 insertions(+), 3 deletions(-) diff --git a/src/base/types/wrappers/GeckoModel.jl b/src/base/types/wrappers/GeckoModel.jl index d0f4fcf41..4b12951d2 100644 --- a/src/base/types/wrappers/GeckoModel.jl +++ b/src/base/types/wrappers/GeckoModel.jl @@ -97,8 +97,8 @@ end objective(model::GeckoModel) Return the objective of the [`GeckoModel`](@ref). Note, the objective is with -respect to the internal variables, i.e. [`reactions(model)`](@ref), which are -the unidirectional reactions and the genes involved in enzymatic reactions that +respect to the internal variables, i.e. [`reactions(model)`](@ref), which are +the unidirectional reactions and the genes involved in enzymatic reactions that have kinetic data. """ objective(model::GeckoModel) = model.objective diff --git a/test/analysis/gecko.jl b/test/analysis/gecko.jl index 2a97261af..eab3a7083 100644 --- a/test/analysis/gecko.jl +++ b/test/analysis/gecko.jl @@ -51,7 +51,7 @@ @test isapprox(prot_mass, total_gene_product_mass, atol = TEST_TOLERANCE) @test isapprox(prot_mass, mass_groups["uncategorized"], atol = TEST_TOLERANCE) - # test enzyme objective + # test enzyme objective growth_lb = rxn_fluxes["BIOMASS_Ecoli_core_w_GAM"] * 0.9 opt_model = flux_balance_analysis( gm,