Loading tests/utc/test_doublet.py +2 −1 Original line number Diff line number Diff line Loading @@ -2,6 +2,8 @@ import timeit import numpy as np import pytest from pythermogis.workflow.utc.doublet import DoubletInput, calculate_doublet_performance from pythermogis.workflow.utc.utc_properties import UTCConfiguration Loading Loading @@ -48,7 +50,6 @@ def test_calculate_doublet_performance_precise(): assert np.isclose(result.var_opex, -7.510325908660889, rtol=rtol) assert np.isclose(result.fixed_opex, -11.227973937988281, rtol=rtol) @pytest.skip("This is for timing performance and comparing to the Java code, not needed to run on the pipeline") def test_calculate_doublet_performance_approximate(): # Arrange: instantiate default UTCConfiguration props = UTCConfiguration( Loading Loading
tests/utc/test_doublet.py +2 −1 Original line number Diff line number Diff line Loading @@ -2,6 +2,8 @@ import timeit import numpy as np import pytest from pythermogis.workflow.utc.doublet import DoubletInput, calculate_doublet_performance from pythermogis.workflow.utc.utc_properties import UTCConfiguration Loading Loading @@ -48,7 +50,6 @@ def test_calculate_doublet_performance_precise(): assert np.isclose(result.var_opex, -7.510325908660889, rtol=rtol) assert np.isclose(result.fixed_opex, -11.227973937988281, rtol=rtol) @pytest.skip("This is for timing performance and comparing to the Java code, not needed to run on the pipeline") def test_calculate_doublet_performance_approximate(): # Arrange: instantiate default UTCConfiguration props = UTCConfiguration( Loading