Optimize imports

benchmark/benchmark.py

@@ -19,21 +19,17 @@ Options:
     --test-time-limit=<n>   Solver time limit during test in seconds [default: 900]
     --solver-threads=<n>    Number of threads the solver is allowed to use [default: 4]
 """
+import glob
 import importlib
 import logging
-import pathlib
-import pickle
-import sys
 import os
-import gzip
-import glob
-
-from docopt import docopt
-from numpy import median
 from pathlib import Path
-import pandas as pd
+
 import matplotlib.pyplot as plt
+import pandas as pd
 import seaborn as sns
+from docopt import docopt
+from numpy import median
 
 from miplearn import (
     LearningSolver,

miplearn/__init__.py

@@ -7,18 +7,18 @@ from .classifiers import (
     Classifier,
     Regressor,
 )
+from .classifiers.adaptive import AdaptiveClassifier
 from .classifiers.sklearn import (
     ScikitLearnRegressor,
     ScikitLearnClassifier,
 )
-from .classifiers.adaptive import AdaptiveClassifier
 from .classifiers.threshold import MinPrecisionThreshold
 from .components.component import Component
 from .components.dynamic_lazy import DynamicLazyConstraintsComponent
 from .components.dynamic_user_cuts import UserCutsComponent
-from .components.static_lazy import StaticLazyConstraintsComponent
 from .components.objective import ObjectiveValueComponent
 from .components.primal import PrimalSolutionComponent
+from .components.static_lazy import StaticLazyConstraintsComponent
 from .components.steps.convert_tight import ConvertTightIneqsIntoEqsStep
 from .components.steps.drop_redundant import DropRedundantInequalitiesStep
 from .components.steps.relax_integrality import RelaxIntegralityStep

miplearn/benchmark.py

@@ -4,7 +4,7 @@
 
 import logging
 import os
-from typing import Dict, Union, List
+from typing import Dict, List
 
 import pandas as pd
 

miplearn/classifiers/adaptive.py

@@ -3,8 +3,7 @@
 #  Released under the modified BSD license. See COPYING.md for more details.
 
 import logging
-from copy import deepcopy
-from typing import Dict, Callable, Optional
+from typing import Dict, Optional
 
 import numpy as np
 from sklearn.linear_model import LogisticRegression
@@ -14,8 +13,8 @@ from sklearn.pipeline import make_pipeline
 from sklearn.preprocessing import StandardScaler
 
 from miplearn.classifiers import Classifier
-from miplearn.classifiers.sklearn import ScikitLearnClassifier
 from miplearn.classifiers.counting import CountingClassifier
+from miplearn.classifiers.sklearn import ScikitLearnClassifier
 
 logger = logging.getLogger(__name__)
 

miplearn/classifiers/cv.py

@@ -3,7 +3,7 @@
 #  Released under the modified BSD license. See COPYING.md for more details.
 
 import logging
-from typing import Optional, Callable, List
+from typing import Optional, List
 
 import numpy as np
 from sklearn.dummy import DummyClassifier

miplearn/components/component.py

@@ -6,9 +6,9 @@ from typing import Any, List, TYPE_CHECKING, Tuple, Dict, Hashable
 
 import numpy as np
 
+from miplearn.features import TrainingSample, Features
 from miplearn.instance import Instance
 from miplearn.types import LearningSolveStats
-from miplearn.features import TrainingSample, Features
 
 if TYPE_CHECKING:
     from miplearn.solvers.learning import LearningSolver

miplearn/components/objective.py

@@ -11,9 +11,9 @@ from sklearn.linear_model import LinearRegression
 from miplearn.classifiers import Regressor
 from miplearn.classifiers.sklearn import ScikitLearnRegressor
 from miplearn.components.component import Component
+from miplearn.features import TrainingSample, Features
 from miplearn.instance import Instance
 from miplearn.types import LearningSolveStats
-from miplearn.features import TrainingSample, Features
 
 if TYPE_CHECKING:
     from miplearn.solvers.learning import LearningSolver

miplearn/components/primal.py

@@ -20,12 +20,12 @@ from miplearn.classifiers.adaptive import AdaptiveClassifier
 from miplearn.classifiers.threshold import MinPrecisionThreshold, Threshold
 from miplearn.components import classifier_evaluation_dict
 from miplearn.components.component import Component
+from miplearn.features import TrainingSample, Features
 from miplearn.instance import Instance
 from miplearn.types import (
     Solution,
     LearningSolveStats,
 )
-from miplearn.features import TrainingSample, Features
 
 logger = logging.getLogger(__name__)
 

miplearn/instance.py

@@ -9,8 +9,8 @@ import pickle
 from abc import ABC, abstractmethod
 from typing import Any, List, Optional, Hashable, IO, cast
 
-from miplearn.types import VarIndex
 from miplearn.features import TrainingSample, Features
+from miplearn.types import VarIndex
 
 logger = logging.getLogger(__name__)
 

miplearn/log.py

@@ -5,8 +5,8 @@
 import logging
 import sys
 import time
-import warnings
 import traceback
+import warnings
 
 _formatwarning = warnings.formatwarning
 

miplearn/solvers/internal.py

@@ -4,7 +4,7 @@
 
 import logging
 from abc import ABC, abstractmethod
-from typing import Any, Dict, List, Optional, Tuple
+from typing import Any, Dict, List, Optional
 
 from miplearn.instance import Instance
 from miplearn.types import (

miplearn/types.py

@@ -7,6 +7,7 @@ from typing import Optional, Dict, Callable, Any, Union, Tuple, TYPE_CHECKING
 from mypy_extensions import TypedDict
 
 if TYPE_CHECKING:
+    # noinspection PyUnresolvedReferences
     from miplearn.solvers.learning import InternalSolver
 
 VarIndex = Union[str, int, Tuple[Union[str, int]]]

tests/classifiers/test_cv.py

@@ -6,8 +6,8 @@ import numpy as np
 from numpy.linalg import norm
 from sklearn.svm import SVC
 
-from miplearn.classifiers.sklearn import ScikitLearnClassifier
 from miplearn.classifiers.cv import CrossValidatedClassifier
+from miplearn.classifiers.sklearn import ScikitLearnClassifier
 from tests.classifiers import _build_circle_training_data
 
 E = 0.1

tests/components/steps/test_drop_redundant.py

@@ -9,11 +9,11 @@ import numpy as np
 from miplearn.classifiers import Classifier
 from miplearn.components.steps.drop_redundant import DropRedundantInequalitiesStep
 from miplearn.components.steps.relax_integrality import RelaxIntegralityStep
+from miplearn.features import TrainingSample, Features
 from miplearn.instance import Instance
 from miplearn.solvers.gurobi import GurobiSolver
 from miplearn.solvers.internal import InternalSolver
 from miplearn.solvers.learning import LearningSolver
-from miplearn.features import TrainingSample, Features
 from tests.fixtures.infeasible import get_infeasible_instance
 from tests.fixtures.redundant import get_instance_with_redundancy
 

tests/components/test_objective.py

@@ -4,6 +4,7 @@
 from typing import Hashable, Dict
 from unittest.mock import Mock
 
+import numpy as np
 import pytest
 from numpy.testing import assert_array_equal
 
@@ -15,8 +16,6 @@ from miplearn.solvers.learning import LearningSolver
 from miplearn.solvers.pyomo.gurobi import GurobiPyomoSolver
 from tests.fixtures.knapsack import get_knapsack_instance
 
-import numpy as np
-
 
 @pytest.fixture
 def instance(features: Features) -> Instance:

tests/components/test_primal.py

@@ -1,7 +1,6 @@
 #  MIPLearn: Extensible Framework for Learning-Enhanced Mixed-Integer Optimization
 #  Copyright (C) 2020-2021, UChicago Argonne, LLC. All rights reserved.
 #  Released under the modified BSD license. See COPYING.md for more details.
-from typing import Dict
 from unittest.mock import Mock
 
 import numpy as np
@@ -12,9 +11,9 @@ from miplearn.classifiers import Classifier
 from miplearn.classifiers.threshold import Threshold
 from miplearn.components import classifier_evaluation_dict
 from miplearn.components.primal import PrimalSolutionComponent
+from miplearn.features import TrainingSample, VariableFeatures, Features
 from miplearn.instance import Instance
 from miplearn.problems.tsp import TravelingSalesmanGenerator
-from miplearn.features import TrainingSample, VariableFeatures, Features
 from miplearn.solvers.learning import LearningSolver
 
 

tests/components/test_static_lazy.py

@@ -11,18 +11,18 @@ from numpy.testing import assert_array_equal
 from miplearn.classifiers import Classifier
 from miplearn.classifiers.threshold import Threshold, MinProbabilityThreshold
 from miplearn.components.static_lazy import StaticLazyConstraintsComponent
-from miplearn.instance import Instance
-from miplearn.solvers.internal import InternalSolver
-from miplearn.solvers.learning import LearningSolver
-from miplearn.types import (
-    LearningSolveStats,
-)
 from miplearn.features import (
     TrainingSample,
     InstanceFeatures,
     ConstraintFeatures,
     Features,
 )
+from miplearn.instance import Instance
+from miplearn.solvers.internal import InternalSolver
+from miplearn.solvers.learning import LearningSolver
+from miplearn.types import (
+    LearningSolveStats,
+)
 
 
 @pytest.fixture

tests/solvers/test_learning_solver.py

@@ -3,10 +3,10 @@
 #  Released under the modified BSD license. See COPYING.md for more details.
 
 import logging
-import dill
-import pickle
-import tempfile
 import os
+import tempfile
+
+import dill
 
 from miplearn.instance import PickleGzInstance, write_pickle_gz, read_pickle_gz
 from miplearn.solvers.gurobi import GurobiSolver

tests/test_benchmark.py

@@ -4,10 +4,10 @@
 
 import os.path
 
-from miplearn.benchmark import BenchmarkRunner
-from miplearn.problems.stab import MaxWeightStableSetGenerator
 from scipy.stats import randint
 
+from miplearn.benchmark import BenchmarkRunner
+from miplearn.problems.stab import MaxWeightStableSetGenerator
 from miplearn.solvers.learning import LearningSolver