Deprecate SubspaceDiscrete.constraints

CHANGELOG.md

@@ -10,12 +10,16 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 - `validate_parameter_names`, `validate_cardinality_constraints_are_nonoverlapping`
   and `validate_cardinality_constraint_parameter_bounds` are no longer available
   as public utilities
+- `is_constrained` property removed from `SubspaceDiscrete`, `SubspaceContinuous`,
+  and `SearchSpace`
 
 ### Added
 - `narwhals` as a hard dependency
 - `CandidatesProtocol` as an interface for candidates generation
 - `TableCandidates` and `ProductCandidates` classes implementing `CandidatesProtocol`
 - `DiscreteParameter.is_finite` property
+- `SubspaceDiscrete.batch_constraints` field for storing batch-level constraints
+- `SubspaceDiscrete.from_dataframe` now accepts `batch_constraints`
 
 ### Changed
 - Internal `Campaign` state model simplified: recommended and excluded experiments
@@ -26,6 +30,9 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
   and `validate_constraints` as the only remaining public entry points
 - `_recommend_discrete` and kin now return a `pd.DataFrame` subselection of the
   candidates instead of a `pd.Index`
+- `SubspaceDiscrete.from_product` and `SubspaceDiscrete.from_simplex` now split
+  their `constraints` argument into filtering constraints (applied during construction)
+  and batch constraints (stored in `batch_constraints`)
 
 ### Fixed
 - Deserialization with constructor selection now correctly respects converter settings
@@ -34,6 +41,7 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 - `Campaign.n_fits_done` and `Campaign.n_batches_done` attributes
 - `SubspaceDiscrete` ignores any `empty_encoding` when provided
 - `SubspaceDiscrete` no longer accepts a `comp_rep` argument
+- `SubspaceDiscrete.constraints` field
 
 ## [0.15.0] - 2026-06-11
 ### Breaking Changes

baybe/searchspace/_filtered.py

@@ -37,6 +37,7 @@ def from_subspace(
 
         # >>>>> Deprecation
         kwargs.pop("_empty_encoding", None)
+        kwargs.pop("_constraints", None)
         kwargs.pop("_comp_rep", None)
         # <<<<< Deprecation
 

baybe/searchspace/continuous.py

@@ -417,11 +417,6 @@ def _drop_parameters(self, parameter_names: Collection[str]) -> SubspaceContinuo
             constraints=[*unaffected_constraints, *reduced_constraints],
         )
 
-    @property
-    def is_constrained(self) -> bool:
-        """Boolean indicating if the subspace is constrained in any way."""
-        return bool(self.constraints)
-
     @property
     def has_interpoint_constraints(self) -> bool:
         """Boolean indicating if the subspace has any interpoint constraints."""
@@ -536,7 +531,7 @@ def sample_uniform(self, batch_size: int = 1) -> pd.DataFrame:
         if not self.parameters:
             return pd.DataFrame(index=pd.RangeIndex(0, batch_size))
 
-        if not self.is_constrained:
+        if not self.constraints:
             return self._sample_from_bounds(batch_size, self.comp_rep_bounds.to_numpy())
 
         if len(self.constraints_cardinality) == 0:

baybe/searchspace/core.py

@@ -198,15 +198,10 @@ def parameters(self) -> tuple[Parameter, ...]:
     def constraints(self) -> tuple[Constraint, ...]:
         """Return the constraints of the search space."""
         return (
-            *self.discrete.constraints,
+            *self.discrete.batch_constraints,
             *self.continuous.constraints,
         )
 
-    @property
-    def is_constrained(self) -> bool:
-        """Boolean indicating if the search space has any constraints."""
-        return self.discrete.is_constrained or self.continuous.is_constrained
-
     @property
     def type(self) -> SearchSpaceType:
         """Return the type of the search space."""