Compilation errors in single/mixed precision

[skoloCFD]

On an ubuntu 2204 x86 system:

wmake kOmegaSSTCND/compressible
g++ -std=c++17 -m64 -pthread -DOPENFOAM=2412 -DWM_SP -DWM_LABEL_SIZE=32 -Wall -Wextra -Wold-style-cast -Wnon-virtual-dtor -Wno-unused-parameter -Wno-invalid-offsetof -Wno-attributes -Wno-unknown-pragmas -O3  -DNoRepository -ftemplate-depth-100  -I.. -I/data/OpenFOAM/OpenFOAM-v2412/src/TurbulenceModels/turbulenceModels/lnInclude -I/data/OpenFOAM/OpenFOAM-v2412/src/transportModels/compressible/lnInclude -I/data/OpenFOAM/OpenFOAM-v2412/src/thermophysicalModels/basic/lnInclude -I/data/OpenFOAM/OpenFOAM-v2412/src/thermophysicalModels/radiation/lnInclude -I/data/OpenFOAM/OpenFOAM-v2412/src/thermophysicalModels/specie/lnInclude -I/data/OpenFOAM/OpenFOAM-v2412/src/thermophysicalModels/solidThermo/lnInclude -I/data/OpenFOAM/OpenFOAM-v2412/src/thermophysicalModels/solidSpecie/lnInclude -I/data/OpenFOAM/OpenFOAM-v2412/src/finiteVolume/lnInclude -I/data/OpenFOAM/OpenFOAM-v2412/src/meshTools/lnInclude -I/data/OpenFOAM/OpenFOAM-v2412/src/TurbulenceModels/compressible/lnInclude  -iquote. -IlnInclude -I/data/OpenFOAM/OpenFOAM-v2412/src/OpenFOAM/lnInclude -I/data/OpenFOAM/OpenFOAM-v2412/src/OSspecific/POSIX/lnInclude   -fPIC -c turbulentFluidThermoModels/myturbulentFluidThermoModels.C -o /data/OpenFOAM/OpenFOAM-v2412/build/linux64GccSPInt32Opt/plugins/turbulence-community/kOmegaSSTCND/kOmegaSSTCND/compressible/turbulentFluidThermoModels/myturbulentFluidThermoModels.o
In file included from ../kOmegaSSTCND.H:131,
                 from turbulentFluidThermoModels/myturbulentFluidThermoModels.C:30:
../kOmegaSSTCND.C: In member function ‘virtual void Foam::RASModels::kOmegaSSTCND<BasicTurbulenceModel>::correct()’:
../kOmegaSSTCND.C:187:24: error: no matching function for call to ‘min(Foam::tmp<Foam::GeometricField<float, Foam::fvPatchField, Foam::volMesh> >, double)’
  187 |         betaCorr_ = min(lambda2_ * (lambda2_ * 0.0043520234), 3.80686) * fd_ + 1.0;
      |                     ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

It builds fine on double precision, which is what we will use to carry out our tests for now.