[v5.0] Drop deprecated functions.

src/citrine/informatics/constraints/ingredient_ratio_constraint.py

@@ -49,7 +49,7 @@ class IngredientRatioConstraint(Serializable['IngredientRatioConstraint'], Const
     # The backend provides basis ingredients and basis labels as a dictionary from the key to a
     # multiplier. However, for ingredient ratio constraints, the multiplier in the denominator
     # should always be one, so we can't allow users to enter it. We need to use properties for this
-    # behavior. It also allows us to display deprecation warnings for the coming type change.
+    # behavior.
     _basis_ingredients = properties.Mapping(
         properties.String, properties.Float, 'basis_ingredients', default={})
     _basis_labels = properties.Mapping(

src/citrine/informatics/predictors/chemical_formula_featurizer.py

@@ -1,5 +1,3 @@
-from deprecation import deprecated
-
 from citrine._rest.resource import Resource
 from citrine._serialization import properties
 from citrine.informatics.descriptors import ChemicalFormulaDescriptor
@@ -152,11 +150,5 @@ def __init__(self,
         self.excludes = excludes if excludes is not None else []
         self.powers = powers if powers is not None else [1.0]
 
-    @property
-    @deprecated(deprecated_in="4.0.0", removed_in="5.0.0", details="Use 'powers' instead.")
-    def powers_as_float(self) -> list[float]:
-        """Powers when computing generalized weighted means of element properties."""
-        return self.powers
-
     def __str__(self):
         return '<ChemicalFormulaFeaturizer {!r}>'.format(self.name)

tests/conftest.py

@@ -286,24 +286,6 @@ def valid_graph_predictor_data_empty():
     return PredictorEntityDataFactory(data=PredictorDataDataFactory(instance=instance))
 
 
-@pytest.fixture
-def valid_deprecated_expression_predictor_data():
-    """Produce valid data used for tests."""
-    from citrine.informatics.descriptors import RealDescriptor
-    shear_modulus = RealDescriptor('Property~Shear modulus', lower_bound=0, upper_bound=100, units='GPa')
-    return dict(
-        type='Expression',
-        name='Expression predictor',
-        description='Computes shear modulus from Youngs modulus and Poissons ratio',
-        expression='Y / (2 * (1 + v))',
-        output=shear_modulus.dump(),
-        aliases={
-            'Y': "Property~Young's modulus",
-            'v': "Property~Poisson's ratio",
-        }
-    )
-
-
 @pytest.fixture
 def valid_expression_predictor_data():
     """Produce valid data used for tests."""

tests/informatics/test_predictors.py

@@ -275,8 +275,6 @@ def test_chemical_featurizer(chemical_featurizer):
     assert chemical_featurizer.features == ["standard"]
     assert chemical_featurizer.excludes == []
     assert chemical_featurizer.powers == [1.0, 2.0]
-    with pytest.warns(DeprecationWarning):
-        assert chemical_featurizer.powers_as_float == [1.0, 2.0]
 
     assert str(chemical_featurizer) == "<ChemicalFormulaFeaturizer 'Chemical featurizer'>"
 
@@ -291,8 +289,6 @@ def test_chemical_featurizer(chemical_featurizer):
     }
 
     chemical_featurizer.powers = [0.5, -1.0]
-    with pytest.warns(DeprecationWarning):
-        assert chemical_featurizer.powers_as_float == [0.5, -1.0]
     assert chemical_featurizer.powers == [0.5, -1.0]
 
 

tests/utils/fakes/fake_workflow_collection.py

@@ -2,7 +2,6 @@
 from uuid import uuid4, UUID
 
 from citrine._session import Session
-from citrine._utils.functions import migrate_deprecated_argument
 from citrine.informatics.workflows import DesignWorkflow
 from citrine.resources.design_workflow import DesignWorkflowCollection