Fix constraints in reference Test (#91)

sfalkner · web-flow · commit e1ab53d79c31 · 2023-03-29T14:42:05.000+02:00
* add valid constraint value to first evaluation in reference test `optimize_single_parameter_sequentially_for_n_max_evaluations`

Signed-off-by: Falkner Stefan (CR/PJ-AI-R32) &lt;Stefan.Falkner@de.bosch.com&gt;

* bump version number

Signed-off-by: Falkner Stefan (CR/PJ-AI-R32) &lt;Stefan.Falkner@de.bosch.com&gt;

---------

Signed-off-by: Falkner Stefan (CR/PJ-AI-R32) &lt;Stefan.Falkner@de.bosch.com&gt;
diff --git a/blackboxopt/__init__.py b/blackboxopt/__init__.py
@@ -1,4 +1,4 @@
-__version__ = "4.13.0"
+__version__ = "4.13.1"
 
 from parameterspace import ParameterSpace
 
diff --git a/blackboxopt/optimizers/testing.py b/blackboxopt/optimizers/testing.py
@@ -84,11 +84,12 @@ def quadratic_function(p1):
 
     if issubclass(optimizer_class, MultiObjectiveOptimizer):
         evaluation = eval_spec.create_evaluation(
-            objectives={"loss": None, "score": None}
+            objectives={"loss": None, "score": None},
+            constraints={"constraint": 10.0},
         )
     else:
         evaluation = eval_spec.create_evaluation(
-            objectives={"loss": None}, constraints={"constraint": None}
+            objectives={"loss": None}, constraints={"constraint": 10.0}
         )
     optimizer.report(evaluation)
 
diff --git a/pyproject.toml b/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "blackboxopt"
-version = "4.13.0"
+version = "4.13.1"
 description = "A common interface for blackbox optimization algorithms along with useful helpers like parallel optimization loops, analysis and visualization scripts."
 readme = "README.md"
 repository = "https://github.com/boschresearch/blackboxopt"

Original file line number	Diff line number	Diff line change
`@@ -1,4 +1,4 @@`
`1`		`-__version__ = "4.13.0"`
	`1`	`+__version__ = "4.13.1"`
`2`	`2`
`3`	`3`	`from parameterspace import ParameterSpace`
`4`	`4`
Original file line number	Diff line number	Diff line change
`@@ -84,11 +84,12 @@ def quadratic_function(p1):`
`84`	`84`
`85`	`85`	`if issubclass(optimizer_class, MultiObjectiveOptimizer):`
`86`	`86`	`evaluation = eval_spec.create_evaluation(`
`87`		`- objectives={"loss": None, "score": None}`
	`87`	`+ objectives={"loss": None, "score": None},`
	`88`	`+ constraints={"constraint": 10.0},`
`88`	`89`	`)`
`89`	`90`	`else:`
`90`	`91`	`evaluation = eval_spec.create_evaluation(`
`91`		`- objectives={"loss": None}, constraints={"constraint": None}`
	`92`	`+ objectives={"loss": None}, constraints={"constraint": 10.0}`
`92`	`93`	`)`
`93`	`94`	`optimizer.report(evaluation)`
`94`	`95`