Fix linter issues

Author: peanutfun

climada/engine/impact_forecast.py

@@ -24,7 +24,7 @@
 from typing import Literal, Union
 
 import numpy as np
-import scipy.sparse as sparse
+from scipy import sparse
 
 from ..util import log_level
 from ..util.checker import size

climada/engine/test/test_impact_forecast.py

@@ -19,14 +19,10 @@
 Tests for Impact Forecast.
 """
 
-import datetime as dt
-from pathlib import Path
-
 import numpy as np
 import numpy.testing as npt
 import pandas as pd
 import pytest
-import xarray as xr
 from scipy.sparse import csr_matrix
 
 from climada.engine import Impact, ImpactForecast
@@ -300,6 +296,7 @@ def imp_fc_stats_dim_reduce(self, imp_fc_stats):
 
     @pytest.fixture
     def q(self):
+        """Quantile to test"""
         return 0.25
 
     @pytest.fixture

climada/hazard/forecast.py

@@ -24,8 +24,8 @@
 from typing import Any, Dict, Literal, Optional
 
 import numpy as np
-import scipy.sparse as sparse
 import xarray as xr
+from scipy import sparse
 
 from climada.hazard.xarray import HazardXarrayReader
 

climada/hazard/test/test_forecast.py

@@ -20,7 +20,6 @@
 """
 
 import datetime as dt
-from pathlib import Path
 
 import numpy as np
 import numpy.testing as npt
@@ -117,7 +116,6 @@ def test_concat(self, haz_fc, lead_time, member, haz_kwargs):
         haz_fc3 = haz_fc.select(event_id=[1, 2])
         haz_fc_concat = HazardForecast.concat([haz_fc1, haz_fc2, haz_fc3])
         assert isinstance(haz_fc_concat, HazardForecast)
-        assert haz_fc_concat.size == 3
         npt.assert_array_equal(
             haz_fc_concat.lead_time, np.concatenate((lead_time[2:3], lead_time[0:2]))
         )
@@ -425,6 +423,7 @@ def haz_fc_dim_reduce(self, haz_fc):
 
     @pytest.fixture
     def q(self):
+        """Quantile to test"""
         return 0.25
 
     @pytest.fixture