@@ -53,7 +53,7 @@ def expected_meta():
5353@pytest .fixture
5454def expected_meteonorm_index ():
5555 expected_meteonorm_index = \
56- pd .date_range ('2023 -01-01' , '2023 -12-31 23:59' , freq = '1h' , tz = 'UTC' ) \
56+ pd .date_range ('2025 -01-01' , '2025 -12-31 23:59' , freq = '1h' , tz = 'UTC' ) \
5757 + pd .Timedelta (minutes = 30 )
5858 expected_meteonorm_index .freq = None
5959 return expected_meteonorm_index
@@ -71,13 +71,13 @@ def expected_meteonorm_data():
7171 [0.0 , 0.0 ],
7272 [0.0 , 0.0 ],
7373 [0.0 , 0.0 ],
74- [2.5 , 2.68 ],
75- [77.5 , 77.48 ],
76- [165 .0 , 164.99 ],
77- [210.75 , 210.75 ],
78- [221 .0 , 220.99 ],
74+ [3.75 , 3.74 ],
75+ [57.25 , 57.20 ],
76+ [149 .0 , 148.96 ],
77+ [242.25 , 242.24 ],
78+ [228 .0 , 227.98 ],
7979 ]
80- index = pd .date_range ('2023 -01-01 00:30' , periods = 12 , freq = '1h' , tz = 'UTC' )
80+ index = pd .date_range ('2025 -01-01 00:30' , periods = 12 , freq = '1h' , tz = 'UTC' )
8181 index .freq = None
8282 expected = pd .DataFrame (expected , index = index , columns = columns )
8383 return expected
@@ -116,7 +116,7 @@ def test_get_meteonorm_training(
116116 expected_meteonorm_data ):
117117 data , meta = pvlib .iotools .get_meteonorm_observation_training (
118118 latitude = 50 , longitude = 10 ,
119- start = '2023 -01-01' , end = '2024 -01-01' ,
119+ start = '2025 -01-01' , end = '2026 -01-01' ,
120120 api_key = demo_api_key ,
121121 parameters = ['ghi' , 'global_horizontal_irradiance_with_shading' ],
122122 time_step = '1h' ,
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