Make the test suite succeed on Python 3.8.0

.gitignore

@@ -1,4 +1,6 @@
 *.code-workspace
 __pycache__/
 dwd_data/
-.idea/
+.idea/
+.venv*
+*.egg-info

python_dwd/download/download.py

@@ -1,7 +1,8 @@
 """ download scripts """
 from typing import List, Union, Tuple
 from pathlib import Path
-import urllib
+import urllib.request
+import urllib.error
 import zipfile
 from io import BytesIO
 from multiprocessing import Pool

requirements.txt

@@ -1,4 +1,4 @@
-pandas==1.0.3
+pandas==1.0.4
 tables==3.6.1
 numpy==1.18.3
 scipy==1.4.1
@@ -8,6 +8,6 @@ aiofiles==0.4.0
 ipython==7.10.1
 ipython-genutils==0.2.0
 matplotlib==3.0.3
-pytest==5.4.1
-mock==0.7.2
+pytest==5.4.3
+mock==4.0.2
 fire==0.3.1

setup.py

@@ -15,5 +15,5 @@
     author_email='gutzemann@gmail.com',
     packages=['python_dwd'],  # , 'python_dwd.additionals'
     install_requires=['pandas', 'pathlib',
-                      'zipfile', 'scipy', 'numpy']
+                      'scipy', 'numpy'],
 )

tests/additionals/test_geo_location.py

@@ -1,5 +1,5 @@
 from python_dwd.additionals.geo_location import get_nearest_station,\
-    derive_nearest_neighbours
+    _derive_nearest_neighbours
 from python_dwd.enumerations.parameter_enumeration import Parameter
 from python_dwd.enumerations.period_type_enumeration import PeriodType
 from python_dwd.enumerations.time_resolution_enumeration import TimeResolution
@@ -17,13 +17,13 @@
     MagicMock(return_value=pd.read_json(f"{fixtures_dir}FIXED_METADATA.JSON"))
 )
 def test_get_nearest_station():
-    nearest_indices, distances = get_nearest_station(
+    nearest_station, distances = get_nearest_station(
         [50., 51.4], [8.9, 9.3],
         Parameter.TEMPERATURE_AIR,
         TimeResolution.HOURLY,
         PeriodType.RECENT)
 
-    assert nearest_indices == [4411, 15207]
+    assert nearest_station == 4411
 
     np.testing.assert_array_almost_equal(
         np.array(distances),
@@ -35,10 +35,13 @@ def test_derive_nearest_neighbours():
 
     metadata = pd.read_json(f"{fixtures_dir}FIXED_METADATA.JSON")
 
-    distances, indices_nearest_neighbours = derive_nearest_neighbours(
+    distances, indices_nearest_neighbours = _derive_nearest_neighbours(
         metadata.LAT.values,
         metadata.LON.values,
         coords)
+
+    assert list(indices_nearest_neighbours) == [432, 655]
+
     np.testing.assert_array_almost_equal(distances,
                                          np.array([0.00182907, 0.00227919]))