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baybe/constraints/discrete.py
@@ -362,8 +362,8 @@ class DiscreteBatchConstraint(DiscreteConstraint):
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"""Constraint ensuring all batch recommendations share the same parameter value.
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When this constraint is active, the recommender internally partitions the
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- candidate set into partitions — one for each unique value of the constrained
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- parameter — obtains a full batch recommendation from each partition, and
+ candidate set into partitions (one for each unique value of the constrained
+ parameter), obtains a full batch recommendation from each partition, and
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returns the batch with the highest joint acquisition value.
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This constraint is not supported by all recommenders. It is not applied during
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