support numpy 2.0

Author: benvanwerkhoven

kernel_tuner/strategies/bayes_opt.py

@@ -235,7 +235,7 @@ def get_hyperparam(name: str, default, supported_values=list()):
         self.invalid_value = 1e20
         self.opt_direction = opt_direction
         if opt_direction == "min":
-            self.worst_value = np.PINF
+            self.worst_value = np.inf
             self.argopt = np.argmin
         elif opt_direction == "max":
             self.worst_value = np.NINF
@@ -262,7 +262,7 @@ def get_hyperparam(name: str, default, supported_values=list()):
         self.__visited_num = 0
         self.__visited_valid_num = 0
         self.__visited_searchspace_indices = [False] * self.searchspace_size
-        self.__observations = [np.NaN] * self.searchspace_size
+        self.__observations = [np.nan] * self.searchspace_size
         self.__valid_observation_indices = [False] * self.searchspace_size
         self.__valid_params = list()
         self.__valid_observations = list()
@@ -311,7 +311,7 @@ def is_not_visited(self, index: int) -> bool:
 
     def is_valid(self, observation: float) -> bool:
         """Returns whether an observation is valid."""
-        return not (observation is None or observation == self.invalid_value or observation == np.NaN)
+        return not (observation is None or observation == self.invalid_value or observation == np.nan)
 
     def get_af_by_name(self, name: str):
         """Get the basic acquisition functions by their name."""

pyproject.toml

@@ -65,7 +65,7 @@ priority = "explicit"
 # ATTENTION: if anything is changed here, run `poetry update`
 [tool.poetry.dependencies]
 python = ">=3.9,<4"         # <4 is because of hip-python # NOTE when changing the supported Python versions, also change the test versions in the noxfile
-numpy = "^1.26.0"           # Python 3.12 requires numpy at least 1.26
+numpy = "^2.2.4"            # Python 3.12 requires numpy at least 1.26
 scipy = ">=1.11.0"          # held back by Python 3.9
 packaging = "*"             # required by file_utils
 jsonschema = "*"
@@ -153,4 +153,4 @@ select = [
     "D", # pydocstyle,
 ]
 [tool.ruff.pydocstyle]
-convention = "google"
+convention = "google"

test/strategies/test_bayesian_optimization.py

@@ -74,7 +74,7 @@ def test_bo_initialization():
     assert BO.searchspace == pruned_parameter_space
     assert BO.unvisited_cache == pruned_parameter_space
     assert len(BO.observations) == len(pruned_parameter_space)
-    assert BO.current_optimum == np.PINF
+    assert BO.current_optimum == np.inf
 
 def test_bo_initial_sample_lhs():
     sample = BO.draw_latin_hypercube_samples(num_samples=1)