Linting

requirements.txt

@@ -11,7 +11,7 @@ scipy==1.*
 tqdm
 scikit-image==0.*
 scikit-gstat>=1.0
+geoutils==0.1.*
 pip
-geoutils
 setuptools>=64
 setuptools_scm[toml]>=8

tests/test_spatialstats.py

@@ -72,7 +72,9 @@ def test_nd_binning(self) -> None:
         """Check that the nd_binning function works adequately and save dataframes to files for later tests"""
 
         # Subsampler
-        indices = gu.raster.subsample_array(self.diff.data.flatten(), sample=10000, return_indices=True, random_state=42)
+        indices = gu.raster.subsample_array(
+            self.diff.data.flatten(), sample=10000, return_indices=True, random_state=42
+        )
 
         # 1D binning, by default will create 10 bins
         df = xdem.spatialstats.nd_binning(

xdem/coreg/base.py

@@ -42,8 +42,8 @@
     RasterType,
     get_array_and_mask,
     raster,
-    subsample_array,
     subdivide_array,
+    subsample_array,
 )
 from tqdm import tqdm
 

xdem/spatialstats.py

@@ -15,7 +15,13 @@
 import numba
 import numpy as np
 import pandas as pd
-from geoutils.raster import Mask, Raster, RasterType, get_array_and_mask, subsample_array
+from geoutils.raster import (
+    Mask,
+    Raster,
+    RasterType,
+    get_array_and_mask,
+    subsample_array,
+)
 from geoutils.vector import Vector, VectorType
 from numpy.typing import ArrayLike
 from scipy import integrate