Names

nevergrad/parametrization/selection.py

@@ -104,6 +104,14 @@ def __init__(
         super().__init__(choices=lchoices, weights=Array(shape=(len(lchoices),), mutable_sigma=False))
         self._deterministic = deterministic
 
+    def _get_name(self) -> str:
+        name = super()._get_name()
+        cls = self.__class__.__name__
+        assert name.startswith(cls)
+        if self._deterministic:
+            name = cls + "{det}" + name[len(cls):]
+        return name
+
     @property
     def descriptors(self) -> core.Descriptors:
         return core.Descriptors(deterministic=self._deterministic & self.choices.descriptors.deterministic,

nevergrad/parametrization/test_parameter.py

@@ -116,6 +116,9 @@ def test_parameters_basic_features(param: Parameter) -> None:
      (par.Scalar().set_integer_casting(), "Scalar{int}[recombination=average,sigma=Log{exp=1.2}[recombination=average,sigma=1.0]]"),
      (par.Instrumentation(par.Array(shape=(2,)), string="blublu", truc="plop"),
       "Instrumentation(Tuple(Array{(2,)}[recombination=average,sigma=1.0]),Dict(string=blublu,truc=plop))"),
+     (par.Choice([1, 12]), "Choice(choices=Tuple(1,12),weights=Array{(2,)}[recombination=average,sigma=1.0])"),
+     (par.Choice([1, 12], deterministic=True), "Choice{det}(choices=Tuple(1,12),weights=Array{(2,)}[recombination=average,sigma=1.0])"),
+     (par.TransitionChoice([1, 12]), "TransitionChoice(choices=Tuple(1,12),transitions=[1. 1.])")
      ]
 )
 def test_parameter_names(param: Parameter, name: str) -> None: