Refactor Subspace Constraints

CHANGELOG.md

@@ -19,6 +19,9 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
   instead of a single tuple (needed for interpoint constraints)
 
 ### Fixed
+- `ContinuousCardinalityConstraint` now works in hybrid search spaces
+- Typo in `_FixedNumericalContinuousParameter` where `is_numeric` was used
+  instead of `is_numerical`
 - `SHAPInsight` breaking with `numpy>=2.4` due to no longer accepted implicit array to 
   scalar conversion
 

baybe/constraints/utils.py

@@ -3,6 +3,7 @@
 import numpy as np
 import pandas as pd
 
+from baybe.constraints.continuous import ContinuousCardinalityConstraint
 from baybe.parameters.utils import is_inactive
 from baybe.searchspace import SubspaceContinuous
 
@@ -25,7 +26,12 @@ def is_cardinality_fulfilled(
     Returns:
         ``True`` if all cardinality constraints are fulfilled, ``False`` otherwise.
     """
-    for c in subspace_continuous.constraints_cardinality:
+    cardinality_constraints = [
+        c
+        for c in subspace_continuous.constraints_subspace_generating
+        if isinstance(c, ContinuousCardinalityConstraint)
+    ]
+    for c in cardinality_constraints:
         # Get the activity thresholds for all parameters
         cols = df[c.parameters]
         thresholds = {

baybe/parameters/numerical.py

@@ -155,7 +155,7 @@ def summary(self) -> dict:
 class _FixedNumericalContinuousParameter(ContinuousParameter):
     """Parameter class for fixed numerical parameters."""
 
-    is_numeric: ClassVar[bool] = True
+    is_numerical: ClassVar[bool] = True
     # See base class.
 
     value: float = field(converter=float)