Apply isort

Apply isort to all python source files
Add isort with profile=black to pre-commit config

.pre-commit-config.yaml

@@ -9,3 +9,7 @@ repos:
     rev: 22.6.0
     hooks:
     -   id: black
+-   repo: https://github.com/pycqa/isort
+    rev: 5.12.0
+    hooks:
+    -   id: isort

pyproject.toml

@@ -40,3 +40,6 @@ examples = [
 
 [tool.hatch.version]
 path = "src/gurobi_optimods/__init__.py"
+
+[tool.isort]
+profile = "black"

src/gurobi_optimods/bipartite_matching.py

@@ -7,13 +7,12 @@
 import logging
 from typing import List, overload
 
+import gurobipy as gp
+import gurobipy_pandas as gppd
 import numpy as np
 import pandas as pd
 import scipy.sparse as sp
-
-import gurobipy as gp
 from gurobipy import GRB
-import gurobipy_pandas as gppd
 
 try:
     import networkx as nx

src/gurobi_optimods/min_cost_flow.py

@@ -6,11 +6,11 @@
 import logging
 
 import gurobipy as gp
+import gurobipy_pandas as gppd  # noqa: F401
 import numpy as np
 import pandas as pd
-from gurobipy import GRB
 import scipy.sparse as sp
-import gurobipy_pandas as gppd  # noqa: F401
+from gurobipy import GRB
 
 try:
     import networkx as nx

src/gurobi_optimods/mwis.py

@@ -3,9 +3,8 @@
 --------------------------------
 """
 
-import numpy as np
-
 import gurobipy as gp
+import numpy as np
 from gurobipy import GRB
 
 from gurobi_optimods.utils import optimod

src/gurobi_optimods/portfolio.py

@@ -5,10 +5,11 @@
 
 from dataclasses import dataclass
 from typing import Optional
+
 import gurobipy as gp
-from gurobipy import GRB
 import numpy as np
 import pandas as pd
+from gurobipy import GRB
 
 from gurobi_optimods.utils import optimod
 

src/gurobi_optimods/qubo.py

@@ -7,8 +7,8 @@
 from dataclasses import dataclass
 
 import gurobipy as gp
-from gurobipy import GRB
 import numpy as np
+from gurobipy import GRB
 
 from gurobi_optimods.utils import optimod
 

tests/test_min_cost_flow.py

@@ -13,9 +13,9 @@
 import gurobi_optimods.min_cost_flow as mcf
 
 from .test_graph_utils import (
+    check_solution_networkx,
     check_solution_pandas,
     check_solution_scipy,
-    check_solution_networkx,
 )
 
 

tests/test_mwis.py

@@ -1,8 +1,8 @@
 import unittest
-
 from itertools import combinations
-import scipy.sparse as sp
+
 import numpy as np
+import scipy.sparse as sp
 from numpy.testing import assert_array_equal
 
 from gurobi_optimods.mwis import maximum_weighted_independent_set

tests/test_portfolio.py

@@ -1,8 +1,9 @@
-from contextlib import redirect_stdout
 import io
 import os
 import tempfile
 import unittest
+from contextlib import redirect_stdout
+
 import numpy as np
 import pandas as pd
 from numpy.testing import assert_allclose, assert_array_equal

tests/test_qubo.py

@@ -1,7 +1,8 @@
 import unittest
+
 import numpy as np
-from numpy.testing import assert_array_equal
 import scipy.sparse as sp
+from numpy.testing import assert_array_equal
 
 from gurobi_optimods.qubo import solve_qubo
 

tests/test_workforce.py

@@ -3,11 +3,11 @@
 from textwrap import dedent
 
 import pandas as pd
-from pandas.api.types import is_object_dtype, is_datetime64_any_dtype, is_numeric_dtype
+from pandas.api.types import is_datetime64_any_dtype, is_numeric_dtype, is_object_dtype
 from pandas.testing import assert_frame_equal
 
-from gurobi_optimods.workforce import solve_workforce_scheduling
 from gurobi_optimods.datasets import load_workforce
+from gurobi_optimods.workforce import solve_workforce_scheduling
 
 
 def read_csv(text):