Botorch 0.9.5 (#317)

* bump minimal botorch version to 0.9.5

bofire/data_models/features/continuous.py

@@ -65,7 +65,9 @@ def round(self, values: pd.Series) -> pd.Series:
         allowed_values = np.arange(
             self.lower_bound, self.upper_bound + self.stepsize, self.stepsize
         )
-        idx = abs(values.values.reshape([3, 1]) - allowed_values).argmin(axis=1)  # type: ignore
+        idx = abs(values.values.reshape([len(values), 1]) - allowed_values).argmin(
+            axis=1
+        )
         return pd.Series(
             data=self.lower_bound + idx * self.stepsize, index=values.index
         )

bofire/strategies/samplers/polytope.py

@@ -142,7 +142,7 @@ def _ask(self, n: int) -> pd.DataFrame:
                 equality_constraints=combined_eqs if len(combined_eqs) > 0 else None,
                 n_burnin=self.n_burnin,
                 thinning=self.n_thinning,
-                seed=self.seed,
+                seed=self.rng.integers(1, 1000),
             ).squeeze(dim=0)
 
             # check that the random generated candidates are not always the same

setup.py

@@ -42,7 +42,7 @@
     ],
     extras_require={
         "optimization": [
-            "botorch>=0.9.4",
+            "botorch>=0.9.5",
             "multiprocess",
             "plotly",
             "formulaic>=0.6.0",