fix type-hint

src/gradient_free_optimizers/optimizer_search/bayesian_optimization.py

@@ -2,7 +2,7 @@
 # Email: [email protected]
 # License: MIT License
 
-from typing import List, Dict, Literal, Literal
+from typing import List, Dict, Literal, Union
 
 from ..search import Search
 from ..optimizers import BayesianOptimizer as _BayesianOptimizer
@@ -50,7 +50,8 @@ def __init__(
         self,
         search_space: Dict[str, list],
         initialize: Dict[
-            Literal["grid", "vertices", "random", "warm_start"], int | List
+            Literal["grid", "vertices", "random", "warm_start"],
+            Union[int, list[dict]],
         ] = {"grid": 4, "random": 2, "vertices": 4},
         constraints: List[callable] = [],
         random_state: int = None,

src/gradient_free_optimizers/optimizer_search/differential_evolution.py

@@ -2,7 +2,7 @@
 # Email: [email protected]
 # License: MIT License
 
-from typing import List, Dict, Literal, Literal
+from typing import List, Dict, Literal, Union
 
 from ..search import Search
 from ..optimizers import (
@@ -45,7 +45,8 @@ def __init__(
         self,
         search_space: Dict[str, list],
         initialize: Dict[
-            Literal["grid", "vertices", "random", "warm_start"], int | List
+            Literal["grid", "vertices", "random", "warm_start"],
+            Union[int, list[dict]],
         ] = {"grid": 4, "random": 2, "vertices": 4},
         constraints: List[callable] = [],
         random_state: int = None,

src/gradient_free_optimizers/optimizer_search/direct_algorithm.py

@@ -2,7 +2,7 @@
 # Email: [email protected]
 # License: MIT License
 
-from typing import List, Dict, Literal
+from typing import List, Dict, Literal, Union
 
 from ..search import Search
 from ..optimizers import DirectAlgorithm as _DirectAlgorithm
@@ -45,7 +45,8 @@ def __init__(
         self,
         search_space: Dict[str, list],
         initialize: Dict[
-            Literal["grid", "vertices", "random", "warm_start"], int | List
+            Literal["grid", "vertices", "random", "warm_start"],
+            Union[int, list[dict]],
         ] = {"grid": 4, "random": 2, "vertices": 4},
         constraints: List[callable] = [],
         random_state: int = None,

src/gradient_free_optimizers/optimizer_search/downhill_simplex.py

@@ -2,7 +2,7 @@
 # Email: [email protected]
 # License: MIT License
 
-from typing import List, Dict, Literal, Literal
+from typing import List, Dict, Literal, Union
 
 from ..search import Search
 from ..optimizers import DownhillSimplexOptimizer as _DownhillSimplexOptimizer
@@ -45,7 +45,8 @@ def __init__(
         self,
         search_space: Dict[str, list],
         initialize: Dict[
-            Literal["grid", "vertices", "random", "warm_start"], int | List
+            Literal["grid", "vertices", "random", "warm_start"],
+            Union[int, list[dict]],
         ] = {"grid": 4, "random": 2, "vertices": 4},
         constraints: List[callable] = [],
         random_state: int = None,

src/gradient_free_optimizers/optimizer_search/ensemble_optimizer.py

@@ -2,7 +2,7 @@
 # Email: [email protected]
 # License: MIT License
 
-from typing import List, Dict, Literal
+from typing import List, Dict, Literal, Union
 
 from ..search import Search
 from ..optimizers import EnsembleOptimizer as _EnsembleOptimizer
@@ -13,7 +13,8 @@ def __init__(
         self,
         search_space: Dict[str, list],
         initialize: Dict[
-            Literal["grid", "vertices", "random", "warm_start"], int | List
+            Literal["grid", "vertices", "random", "warm_start"],
+            Union[int, list[dict]],
         ] = {"grid": 4, "random": 2, "vertices": 4},
         constraints: List[callable] = [],
         random_state: int = None,

src/gradient_free_optimizers/optimizer_search/evolution_strategy.py

@@ -2,7 +2,7 @@
 # Email: [email protected]
 # License: MIT License
 
-from typing import List, Dict, Literal, Literal
+from typing import List, Dict, Literal, Union
 
 from ..search import Search
 from ..optimizers import (
@@ -51,7 +51,8 @@ def __init__(
         self,
         search_space: Dict[str, list],
         initialize: Dict[
-            Literal["grid", "vertices", "random", "warm_start"], int | List
+            Literal["grid", "vertices", "random", "warm_start"],
+            Union[int, list[dict]],
         ] = {"grid": 4, "random": 2, "vertices": 4},
         constraints: List[callable] = [],
         random_state: int = None,

src/gradient_free_optimizers/optimizer_search/forest_optimization.py

@@ -2,7 +2,7 @@
 # Email: [email protected]
 # License: MIT License
 
-from typing import List, Dict, Literal
+from typing import List, Dict, Literal, Union
 
 from ..search import Search
 from ..optimizers import ForestOptimizer as _ForestOptimizer
@@ -51,7 +51,8 @@ def __init__(
         self,
         search_space: Dict[str, list],
         initialize: Dict[
-            Literal["grid", "vertices", "random", "warm_start"], int | List
+            Literal["grid", "vertices", "random", "warm_start"],
+            Union[int, list[dict]],
         ] = {"grid": 4, "random": 2, "vertices": 4},
         constraints: List[callable] = [],
         random_state: int = None,

src/gradient_free_optimizers/optimizer_search/genetic_algorithm.py

@@ -2,7 +2,7 @@
 # Email: [email protected]
 # License: MIT License
 
-from typing import List, Dict, Literal
+from typing import List, Dict, Literal, Union
 
 from ..search import Search
 from ..optimizers import GeneticAlgorithmOptimizer as _GeneticAlgorithmOptimizer
@@ -49,7 +49,8 @@ def __init__(
         self,
         search_space: Dict[str, list],
         initialize: Dict[
-            Literal["grid", "vertices", "random", "warm_start"], int | List
+            Literal["grid", "vertices", "random", "warm_start"],
+            Union[int, list[dict]],
         ] = {"grid": 4, "random": 2, "vertices": 4},
         constraints: List[callable] = [],
         random_state: int = None,

src/gradient_free_optimizers/optimizer_search/grid_search.py

@@ -2,7 +2,7 @@
 # Email: [email protected]
 # License: MIT License
 
-from typing import List, Dict, Literal, Literal
+from typing import List, Dict, Literal, Union
 
 from ..search import Search
 from ..optimizers import GridSearchOptimizer as _GridSearchOptimizer
@@ -41,7 +41,8 @@ def __init__(
         self,
         search_space: Dict[str, list],
         initialize: Dict[
-            Literal["grid", "vertices", "random", "warm_start"], int | List
+            Literal["grid", "vertices", "random", "warm_start"],
+            Union[int, list[dict]],
         ] = {"grid": 4, "random": 2, "vertices": 4},
         constraints: List[callable] = [],
         random_state: int = None,

src/gradient_free_optimizers/optimizer_search/hill_climbing.py

@@ -2,7 +2,7 @@
 # Email: [email protected]
 # License: MIT License
 
-from typing import List, Dict, Literal, Literal
+from typing import List, Dict, Literal, Union
 
 from ..search import Search
 from ..optimizers import HillClimbingOptimizer as _HillClimbingOptimizer
@@ -44,7 +44,8 @@ def __init__(
         self,
         search_space: Dict[str, list],
         initialize: Dict[
-            Literal["grid", "vertices", "random", "warm_start"], int | List
+            Literal["grid", "vertices", "random", "warm_start"],
+            Union[int, list[dict]],
         ] = {"grid": 4, "random": 2, "vertices": 4},
         constraints: List[callable] = [],
         random_state: int = None,

src/gradient_free_optimizers/optimizer_search/lipschitz_optimizer.py

@@ -2,7 +2,7 @@
 # Email: [email protected]
 # License: MIT License
 
-from typing import List, Dict, Literal
+from typing import List, Dict, Literal, Union
 
 from ..search import Search
 from ..optimizers import LipschitzOptimizer as _LipschitzOptimizer
@@ -45,7 +45,8 @@ def __init__(
         self,
         search_space: Dict[str, list],
         initialize: Dict[
-            Literal["grid", "vertices", "random", "warm_start"], int | List
+            Literal["grid", "vertices", "random", "warm_start"],
+            Union[int, list[dict]],
         ] = {"grid": 4, "random": 2, "vertices": 4},
         constraints: List[callable] = [],
         random_state: int = None,

src/gradient_free_optimizers/optimizer_search/parallel_tempering.py

@@ -2,7 +2,7 @@
 # Email: [email protected]
 # License: MIT License
 
-from typing import List, Dict, Literal
+from typing import List, Dict, Literal, Union
 
 from ..search import Search
 from ..optimizers import (
@@ -46,7 +46,8 @@ def __init__(
         self,
         search_space: Dict[str, list],
         initialize: Dict[
-            Literal["grid", "vertices", "random", "warm_start"], int | List
+            Literal["grid", "vertices", "random", "warm_start"],
+            Union[int, list[dict]],
         ] = {"grid": 4, "random": 2, "vertices": 4},
         constraints: List[callable] = [],
         random_state: int = None,

src/gradient_free_optimizers/optimizer_search/particle_swarm_optimization.py

@@ -2,7 +2,7 @@
 # Email: [email protected]
 # License: MIT License
 
-from typing import List, Dict, Literal, Literal
+from typing import List, Dict, Literal, Union
 
 from ..search import Search
 from ..optimizers import ParticleSwarmOptimizer as _ParticleSwarmOptimizer
@@ -47,7 +47,8 @@ def __init__(
         self,
         search_space: Dict[str, list],
         initialize: Dict[
-            Literal["grid", "vertices", "random", "warm_start"], int | List
+            Literal["grid", "vertices", "random", "warm_start"],
+            Union[int, list[dict]],
         ] = {"grid": 4, "random": 2, "vertices": 4},
         constraints: List[callable] = [],
         random_state: int = None,

src/gradient_free_optimizers/optimizer_search/pattern_search.py

@@ -2,7 +2,7 @@
 # Email: [email protected]
 # License: MIT License
 
-from typing import List, Dict, Literal, Literal
+from typing import List, Dict, Literal, Union
 
 from ..search import Search
 from ..optimizers import PatternSearch as _PatternSearch
@@ -43,7 +43,8 @@ def __init__(
         self,
         search_space: Dict[str, list],
         initialize: Dict[
-            Literal["grid", "vertices", "random", "warm_start"], int | List
+            Literal["grid", "vertices", "random", "warm_start"],
+            Union[int, list[dict]],
         ] = {"grid": 4, "random": 2, "vertices": 4},
         constraints: List[callable] = [],
         random_state: int = None,

src/gradient_free_optimizers/optimizer_search/powells_method.py

@@ -2,7 +2,7 @@
 # Email: [email protected]
 # License: MIT License
 
-from typing import List, Dict, Literal
+from typing import List, Dict, Literal, Union
 
 from ..search import Search
 from ..optimizers import PowellsMethod as _PowellsMethod
@@ -44,7 +44,8 @@ def __init__(
         self,
         search_space: Dict[str, list],
         initialize: Dict[
-            Literal["grid", "vertices", "random", "warm_start"], int | List
+            Literal["grid", "vertices", "random", "warm_start"],
+            Union[int, list[dict]],
         ] = {"grid": 4, "random": 2, "vertices": 4},
         constraints: List[callable] = [],
         random_state: int = None,

src/gradient_free_optimizers/optimizer_search/random_annealing.py

@@ -2,7 +2,7 @@
 # Email: [email protected]
 # License: MIT License
 
-from typing import List, Dict, Literal, Literal
+from typing import List, Dict, Literal, Union
 
 from ..search import Search
 from ..optimizers import RandomAnnealingOptimizer as _RandomAnnealingOptimizer
@@ -48,7 +48,8 @@ def __init__(
         self,
         search_space: Dict[str, list],
         initialize: Dict[
-            Literal["grid", "vertices", "random", "warm_start"], int | List
+            Literal["grid", "vertices", "random", "warm_start"],
+            Union[int, list[dict]],
         ] = {"grid": 4, "random": 2, "vertices": 4},
         constraints: List[callable] = [],
         random_state: int = None,

src/gradient_free_optimizers/optimizer_search/random_restart_hill_climbing.py

@@ -2,7 +2,7 @@
 # Email: [email protected]
 # License: MIT License
 
-from typing import List, Dict, Literal, Literal
+from typing import List, Dict, Literal, Union
 
 from ..search import Search
 from ..optimizers import (
@@ -50,7 +50,8 @@ def __init__(
         self,
         search_space: Dict[str, list],
         initialize: Dict[
-            Literal["grid", "vertices", "random", "warm_start"], int | List
+            Literal["grid", "vertices", "random", "warm_start"],
+            Union[int, list[dict]],
         ] = {"grid": 4, "random": 2, "vertices": 4},
         constraints: List[callable] = [],
         random_state: int = None,

src/gradient_free_optimizers/optimizer_search/random_search.py

@@ -2,7 +2,7 @@
 # Email: [email protected]
 # License: MIT License
 
-from typing import List, Dict, Literal
+from typing import List, Dict, Literal, Union
 
 from ..search import Search
 from ..optimizers import RandomSearchOptimizer as _RandomSearchOptimizer
@@ -35,7 +35,8 @@ def __init__(
         self,
         search_space: Dict[str, list],
         initialize: Dict[
-            Literal["grid", "vertices", "random", "warm_start"], int | List
+            Literal["grid", "vertices", "random", "warm_start"],
+            Union[int, list[dict]],
         ] = {"grid": 4, "random": 2, "vertices": 4},
         constraints: List[callable] = [],
         random_state: int = None,

src/gradient_free_optimizers/optimizer_search/repulsing_hill_climbing.py

@@ -2,7 +2,7 @@
 # Email: [email protected]
 # License: MIT License
 
-from typing import List, Dict, Literal, Literal
+from typing import List, Dict, Literal, Union
 
 from ..search import Search
 from ..optimizers import (
@@ -48,7 +48,8 @@ def __init__(
         self,
         search_space: Dict[str, list],
         initialize: Dict[
-            Literal["grid", "vertices", "random", "warm_start"], int | List
+            Literal["grid", "vertices", "random", "warm_start"],
+            Union[int, list[dict]],
         ] = {"grid": 4, "random": 2, "vertices": 4},
         constraints: List[callable] = [],
         random_state: int = None,

src/gradient_free_optimizers/optimizer_search/simulated_annealing.py

@@ -2,7 +2,7 @@
 # Email: [email protected]
 # License: MIT License
 
-from typing import List, Dict, Literal, Literal
+from typing import List, Dict, Literal, Union
 
 from ..search import Search
 from ..optimizers import (
@@ -50,7 +50,8 @@ def __init__(
         self,
         search_space: Dict[str, list],
         initialize: Dict[
-            Literal["grid", "vertices", "random", "warm_start"], int | List
+            Literal["grid", "vertices", "random", "warm_start"],
+            Union[int, list[dict]],
         ] = {"grid": 4, "random": 2, "vertices": 4},
         constraints: List[callable] = [],
         random_state: int = None,

src/gradient_free_optimizers/optimizer_search/spiral_optimization.py

@@ -2,7 +2,7 @@
 # Email: [email protected]
 # License: MIT License
 
-from typing import List, Dict, Literal, Literal
+from typing import List, Dict, Literal, Union
 
 from ..search import Search
 from ..optimizers import SpiralOptimization as _SpiralOptimization
@@ -42,7 +42,8 @@ def __init__(
         self,
         search_space: Dict[str, list],
         initialize: Dict[
-            Literal["grid", "vertices", "random", "warm_start"], int | List
+            Literal["grid", "vertices", "random", "warm_start"],
+            Union[int, list[dict]],
         ] = {"grid": 4, "random": 2, "vertices": 4},
         constraints: List[callable] = [],
         random_state: int = None,