double Compute(Recipe recipe)
{
var composition = Composition.Blend(new List <Composition>()
{
almondsComposition.Dose(recipe.almondsDose),
cashewsComposition.Dose(recipe.cashewsDose),
coconutComposition.Dose(recipe.coconutDose),
oatComposition.Dose(recipe.oatDose),
peanutsComposition.Dose(recipe.peanutsDose),
riceComposition.Dose(recipe.riceDose),
soyComposition.Dose(recipe.soyDose),
yellowPeasComposition.Dose(recipe.yellowPeasDose),
});
almondsField.text = string.Format("{0}g", (recipe.almondsDose * 100).ToString());
cashewsField.text = string.Format("{0}g", (recipe.cashewsDose * 100).ToString());
coconutField.text = string.Format("{0}g", (recipe.coconutDose * 100).ToString());
oatField.text = string.Format("{0}g", (recipe.oatDose * 100).ToString());
peanutsField.text = string.Format("{0}g", (recipe.peanutsDose * 100).ToString());
riceField.text = string.Format("{0}g", (recipe.riceDose * 100).ToString());
soyField.text = string.Format("{0}g", (recipe.soyDose * 100).ToString());
yellowPeasField.text = string.Format("{0}g", (recipe.yellowPeasDose * 100).ToString());
var distance = cowMilk.SimilarityScoreWith(composition);
var similarity = (distance > MAX_DISTANCE ? 0 : (MAX_DISTANCE - distance) * 100 / MAX_DISTANCE);
distanceField.text = distance.ToString();
similarityField.text = string.Format("{0}%", similarity);
return(distance);
}
