Update domain_reduction.py (#454)

* Update domain_reduction.py

Adds ability to pass a dictionary as the minimum_window argument in SequentialDomainReductionTransformer. Deals with issue where TargetSpace sorts the pBounds dictionary, causing the order of the list used for minimum_window to possibly not match the order of the stored boundaries.

* Update test_seq_domain_red.py

Added test_minimum_window_dict_ordering to test whether dictionary input for SequentialDomainReductionTransformer is ordered to match pBounds.

bayes_opt/domain_reduction.py

@@ -1,4 +1,4 @@
-from typing import Optional, Union, List
+from typing import Optional, Union, List, Dict
 
 import numpy as np
 from .target_space import TargetSpace
@@ -29,12 +29,16 @@ def __init__(
         gamma_osc: float = 0.7,
         gamma_pan: float = 1.0,
         eta: float = 0.9,
-        minimum_window: Optional[Union[List[float], float]] = 0.0
+        minimum_window: Optional[Union[List[float], float, Dict[str, float]]] = 0.0
     ) -> None:
         self.gamma_osc = gamma_osc
         self.gamma_pan = gamma_pan
         self.eta = eta
-        self.minimum_window_value = minimum_window
+        if isinstance(minimum_window, dict):
+            self.minimum_window_value = [item[1] for item in sorted(minimum_window.items(), key=lambda x: x[0])]
+        else:
+            self.minimum_window_value = minimum_window
+
 
     def initialize(self, target_space: TargetSpace) -> None:
         """Initialize all of the parameters.

tests/test_seq_domain_red.py

@@ -187,9 +187,24 @@ def verify_bounds_in_range(new_bounds, global_bounds):
         trimmed_bounds = bounds_transformer._trim(new_bounds, global_bounds)
     assert verify_bounds_in_range(trimmed_bounds, global_bounds)
 
+
+def test_minimum_window_dict_ordering():
+    """Tests if dictionary input for minimum_window is reordered the same as pbounds"""
+    window_ranges = {'y': 1, 'x': 3,'w': 1e5}
+    bounds_transformer = SequentialDomainReductionTransformer(minimum_window=window_ranges)
+    pbounds = {'y': (-1, 1),'w':(-1e6,1e6), 'x': (-10, 10)}
+
+    _ = BayesianOptimization(
+            f=None,
+            pbounds=pbounds,
+            verbose=0,
+            random_state=1,
+            bounds_transformer=bounds_transformer
+        )
+
 if __name__ == '__main__':
     r"""
     CommandLine:
         python tests/test_seq_domain_red.py
     """
-    pytest.main([__file__])
+    pytest.main([__file__])