Remove EnforceOverrides

miplearn/components/component.py

@@ -5,20 +5,18 @@
 from typing import Any, List, TYPE_CHECKING, Tuple, Dict, Hashable, Optional
 
 import numpy as np
-from overrides import EnforceOverrides
+from p_tqdm import p_umap
 
 from miplearn.features import Sample
 from miplearn.instance.base import Instance
 from miplearn.types import LearningSolveStats
 
-from p_tqdm import p_umap
-
 if TYPE_CHECKING:
     from miplearn.solvers.learning import LearningSolver
 
 
 # noinspection PyMethodMayBeStatic
-class Component(EnforceOverrides):
+class Component:
     """
     A Component is an object which adds functionality to a LearningSolver.
 

miplearn/instance/base.py

@@ -6,8 +6,6 @@ import logging
 from abc import ABC, abstractmethod
 from typing import Any, List, Optional, Hashable, TYPE_CHECKING
 
-from overrides import EnforceOverrides
-
 from miplearn.features import Sample
 from miplearn.types import VariableName, Category
 
@@ -18,7 +16,7 @@ if TYPE_CHECKING:
 
 
 # noinspection PyMethodMayBeStatic
-class Instance(ABC, EnforceOverrides):
+class Instance(ABC):
     """
     Abstract class holding all the data necessary to generate a concrete model of the
     proble.

miplearn/solvers/internal.py

@@ -7,8 +7,6 @@ from abc import ABC, abstractmethod
 from dataclasses import dataclass
 from typing import Any, Dict, List, Optional
 
-from overrides import EnforceOverrides
-
 from miplearn.features import Constraint, VariableFeatures, ConstraintFeatures
 from miplearn.instance.base import Instance
 from miplearn.types import (
@@ -47,7 +45,7 @@ class MIPSolveStats:
     mip_warm_start_value: Optional[float] = None
 
 
-class InternalSolver(ABC, EnforceOverrides):
+class InternalSolver(ABC):
     """
     Abstract class representing the MIP solver used internally by LearningSolver.
     """

setup.py

@@ -9,7 +9,7 @@ with open("README.md", "r") as fh:
 
 setup(
     name="miplearn",
-    version="0.2.0.dev3",
+    version="0.2.0.dev5",
     author="Alinson S. Xavier",
     author_email="axavier@anl.gov",
     description="Extensible framework for Learning-Enhanced Mixed-Integer Optimization",