public RandomPopulationSettings MapFrom(Individual individual)
{
//add age first
var populationSettings = new RandomPopulationSettings();
if (individual == null)
{
return(populationSettings);
}
var population = individual.OriginData.SpeciesPopulation;
populationSettings.BaseIndividual = individual;
populationSettings.NumberOfIndividuals = CoreConstants.DEFAULT_NUMBER_OF_INDIVIDUALS_IN_POPULATION;
int genderCount = individual.AvailableGenders().Count();
foreach (var gender in individual.AvailableGenders())
{
populationSettings.AddGenderRatio(new GenderRatio {
Gender = gender, Ratio = 100 / genderCount
});
}
if (population.IsAgeDependent)
{
var ageParameter = individual.Organism.Parameter(CoreConstants.Parameter.AGE);
populationSettings.AddParameterRange(constrainedParameterRangeFrom(ageParameter));
}
if (individual.IsPreterm)
{
var gestationalAgeParameter = individual.Organism.Parameter(CoreConstants.Parameter.GESTATIONAL_AGE);
populationSettings.AddParameterRange(discretedParameterRangeFrom(gestationalAgeParameter, numericListOfValues(gestationalAgeParameter)));
}
if (population.IsHeightDependent)
{
var heightParameter = individual.Organism.Parameter(CoreConstants.Parameter.MEAN_HEIGHT);
populationSettings.AddParameterRange(parameterRangeFrom(heightParameter));
}
var weightParameter = individual.Organism.Parameter(CoreConstants.Parameter.MEAN_WEIGHT);
if (population.IsAgeDependent)
{
populationSettings.AddParameterRange(parameterRangeFrom(weightParameter));
}
else
{
populationSettings.AddParameterRange(constrainedParameterRangeFrom(weightParameter));
}
if (population.IsHeightDependent)
{
var bmiParameter = individual.Organism.Parameter(CoreConstants.Parameter.BMI);
populationSettings.AddParameterRange(parameterRangeFrom(bmiParameter));
}
return(populationSettings);
}
protected override void Context()
{
base.Context();
_populationSettingsDTO = new PopulationSettingsDTO();
_newPopulationSettingsDTO = new PopulationSettingsDTO();
_oldIndividual = A.Fake <Individual>();
A.CallTo(() => _populationSettingsMapper.MapFrom(_oldIndividual)).Returns(_populationSettingsDTO);
A.CallTo(() => _populationSettingsMapper.MapFrom(_newIndividual)).Returns(_newPopulationSettingsDTO);
_newIndividual = A.Fake <Individual>();
A.CallTo(() => _newIndividual.AvailableGenders()).Returns(new List <Gender>());
//first initialize with the old individual
sut.PrepareForCreating(_oldIndividual);
}
protected override void Context()
{
base.Context();
_individual = A.Fake <Individual>();
A.CallTo(() => _individual.AvailableGenders()).Returns(new List <Gender> {
_genderRepository.Male, _genderRepository.Female
});
_populationSettings = new RandomPopulationSettings();
_batchPopSettings = new Batch.PopulationSettings();
_batchPopSettings.Population = "Population";
_batchPopSettings.MinAge = 25;
_batchPopSettings.MaxAge = 40;
_batchPopSettings.MinGestationalAge = 30;
_batchPopSettings.MinHeight = 10;
_batchPopSettings.MaxHeight = 20;
_batchPopSettings.MinWeight = double.NaN;
_batchPopSettings.MaxWeight = 40;
_batchPopSettings.MinBMI = 8;
_batchPopSettings.MaxBMI = double.NaN;
_batchPopSettings.NumberOfIndividuals = 2589;
_batchPopSettings.ProportionOfFemales = 40;
_populationSettings.AddParameterRange(new ParameterRange {
ParameterName = CoreConstants.Parameter.BMI
});
_populationSettings.AddParameterRange(new ParameterRange {
ParameterName = CoreConstants.Parameter.AGE
});
_populationSettings.AddParameterRange(new ParameterRange {
ParameterName = CoreConstants.Parameter.MEAN_HEIGHT
});
_populationSettings.AddParameterRange(new ParameterRange {
ParameterName = CoreConstants.Parameter.MEAN_WEIGHT
});
_populationSettings.AddGenderRatio(new GenderRatio {
Gender = _genderRepository.Male
});
_populationSettings.AddGenderRatio(new GenderRatio {
Gender = _genderRepository.Female
});
A.CallTo(() => _individualFactory.CreateStandardFor(A <OriginData> ._)).Returns(_individual);
A.CallTo(() => _popSettingsMapper.MapFrom(_individual)).Returns(_populationSettings);
}
protected override void Context()
{
base.Context();
_individual = A.Fake <Individual>();
Gender male = new Gender {
Name = CoreConstants.Gender.Male
};
Gender female = new Gender {
Name = CoreConstants.Gender.Female
};
A.CallTo(() => _individual.AvailableGenders()).Returns(new[] { male, female });
_settings = new RandomPopulationSettings();
_settings.BaseIndividual = _individual;
_settings.AddGenderRatio(new GenderRatio {
Gender = male, Ratio = 100
});
_settings.AddGenderRatio(new GenderRatio {
Gender = female, Ratio = 0
});
}
public virtual IEnumerable <Gender> AvailableGenders()
{
return(Individual != null?Individual.AvailableGenders() : new List <Gender>());
}