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Construct fraction and eliminate common terms when calculating conversion factor to increase accuracy #1459

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Construct fraction and eliminate common terms when calculating conversion factor to increase accuracy

Construct fraction and eliminate common terms when calculating conversion factor to increase accuracy #1459

Run time

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Job Run time
test-windows (3.10, numpy>=1.23,<2.0.0)
59s
test-macos (3.10)
1m 40s
test-windows (3.11, numpy>=1.23,<2.0.0)
46s
test-macos (3.10, numpy>=1.23,<2.0.0)
1m 38s
test-windows (3.12, numpy>=1.23,<2.0.0)
51s
test-macos (3.11)
1m 54s
test-linux (3.9)
2m 1s
test-macos (3.11, numpy>=1.23,<2.0.0)
1m 10s
test-linux (3.9, uncertainties==3.1.6)
2m 48s
test-macos (3.12)
1m 19s
test-linux (3.9, uncertainties>=3.1.6,<4.0.0)
2m 49s
test-macos (3.12, numpy>=1.23,<2.0.0)
1m 26s
test-linux (3.9, numpy>=1.23,<2.0.0)
2m 14s
test-linux (3.9, numpy>=1.23,<2.0.0, uncertainties==3.1.6)
2m 51s
test-linux (3.9, numpy>=1.23,<2.0.0, uncertainties>=3.1.6,<4.0.0)
2m 54s
test-linux (3.9, numpy>=2.0.0rc1)
2m 12s
test-linux (3.9, numpy>=2.0.0rc1, uncertainties==3.1.6)
2m 50s
test-linux (3.9, numpy>=2.0.0rc1, uncertainties>=3.1.6,<4.0.0)
2m 53s
test-linux (3.10)
2m 3s
test-linux (3.10, uncertainties==3.1.6)
2m 50s
test-linux (3.10, uncertainties>=3.1.6,<4.0.0)
2m 59s
test-linux (3.10, numpy>=1.23,<2.0.0)
3m 6s
test-linux (3.10, numpy>=1.23,<2.0.0, uncertainties==3.1.6)
2m 57s
test-linux (3.10, numpy>=1.23,<2.0.0, uncertainties>=3.1.6,<4.0.0)
2m 59s
test-linux (3.10, numpy>=2.0.0rc1)
2m 13s
test-linux (3.10, numpy>=2.0.0rc1, uncertainties==3.1.6)
3m 1s
test-linux (3.10, numpy>=2.0.0rc1, uncertainties>=3.1.6,<4.0.0)
3m 4s
test-linux (3.11)
1m 52s
test-linux (3.11, uncertainties==3.1.6)
2m 39s
test-linux (3.11, uncertainties>=3.1.6,<4.0.0)
2m 34s
test-linux (3.11, numpy>=1.23,<2.0.0)
1m 59s
test-linux (3.11, numpy>=1.23,<2.0.0, uncertainties==3.1.6)
2m 40s
test-linux (3.11, numpy>=1.23,<2.0.0, uncertainties>=3.1.6,<4.0.0)
2m 36s
test-linux (3.11, numpy>=2.0.0rc1)
2m 0s
test-linux (3.11, numpy>=2.0.0rc1, uncertainties==3.1.6)
2m 46s
test-linux (3.11, numpy>=2.0.0rc1, uncertainties>=3.1.6,<4.0.0)
2m 46s
test-linux (3.12)
2m 6s
test-linux (3.12, uncertainties==3.1.6)
2m 57s
test-linux (3.12, uncertainties>=3.1.6,<4.0.0)
3m 0s
test-linux (3.12, numpy>=1.23,<2.0.0)
2m 26s
test-linux (3.12, numpy>=1.23,<2.0.0, uncertainties==3.1.6)
3m 6s
test-linux (3.12, numpy>=1.23,<2.0.0, uncertainties>=3.1.6,<4.0.0)
3m 12s
test-linux (3.12, numpy>=2.0.0rc1)
2m 22s
test-linux (3.12, numpy>=2.0.0rc1, uncertainties==3.1.6)
3m 21s
test-linux (3.12, numpy>=2.0.0rc1, uncertainties>=3.1.6,<4.0.0)
3m 7s
test-linux (3.13)
2m 4s
test-linux (3.13, uncertainties==3.1.6)
2m 55s
test-linux (3.13, uncertainties>=3.1.6,<4.0.0)
2m 52s
test-linux (3.13, numpy>=1.23,<2.0.0)
5m 0s
test-linux (3.13, numpy>=1.23,<2.0.0, uncertainties==3.1.6)
5m 58s
test-linux (3.13, numpy>=1.23,<2.0.0, uncertainties>=3.1.6,<4.0.0)
5m 46s
test-linux (3.13, numpy>=2.0.0rc1)
2m 25s
test-linux (3.13, numpy>=2.0.0rc1, uncertainties==3.1.6)
3m 8s
test-linux (3.13, numpy>=2.0.0rc1, uncertainties>=3.1.6,<4.0.0)
3m 6s
test-linux (3.10, numpy>=1.23,<2.0.0, matplotlib==3.5.3)
3m 1s
test-linux (3.10, numpy, uncertainties, sparse xarray netCDF4 dask[complete]==2024.5.1 graphviz b...
4m 29s
test-linux (3.10, numpy==1.26.1, babel==2.15 matplotlib==3.9.0)
3m 11s
2h 31m 51s