Closed pp-mo closed 10 years ago
NOTES:
The new lib/iris/analysis/_interpolator.py
is really based on the previous version, rather than your current interp_refactor. But obviously, I've kept the new test.
The still-failiing tests from this now look like ...
itpp@eld238: /net/home/h05/itpp/git/iris/iris_main > python setup.py test >/home/h05/itpp/Iris/sprints/20140331/interp_review/interp_refactor_recirc_tests_ANOTHER.txt 2>&1
itpp@eld238: /net/home/h05/itpp/git/iris/iris_main > grep "^test_.*\(FAIL\|ERROR\)" /home/h05/itpp/Iris/sprints/20140331/interp_review/interp_refactor_recirc_tests_ANOTHER.txt
test_pep8_conformance (iris.tests.test_coding_standards.TestCodeFormat) ... FAIL
test_colpex (iris.tests.test_merge.TestColpex) ... FAIL
test_netcdf_hybrid_height (iris.tests.test_netcdf.TestNetCDFSave) ... FAIL
test_trajectory_extraction (iris.tests.test_trajectory.TestTrajectory) ... FAIL
itpp@eld238: /net/home/h05/itpp/git/iris/iris_main > git status
Whereas previous version gives :
itpp@eld238: /home/h05/itpp/Iris/sprints/20140331/interp_review > grep "^test_.*\(FAIL\|ERROR\)" interp_refactor_recirc_tests_a157411_20110409.txt
test_positive (iris.tests.analysis.test_interpolate.Test_linear__circular_wrapping) ... FAIL
test_symmetric (iris.tests.analysis.test_interpolate.Test_linear__circular_wrapping) ... ERROR
test_circular (iris.tests.test_interpolation.TestNearestLinearInterpolRealData) ... FAIL
test_pep8_conformance (iris.tests.test_coding_standards.TestCodeFormat) ... FAIL
test_colpex (iris.tests.test_merge.TestColpex) ... FAIL
test_netcdf_hybrid_height (iris.tests.test_netcdf.TestNetCDFSave) ... FAIL
test_trajectory_extraction (iris.tests.test_trajectory.TestTrajectory) ... FAIL
itpp@eld238: /home/h05/itpp/Iris/sprints/20140331/interp_review >
So, this change has lost us an ERROR, and some FAILs.
There are now just 3 FAILS (ignoring the pep8 for now).
I'm hopeful, from a quick look, that the remaining problems are just small numeric differences (whereas the previous version seemed to upset tests/analysis/test_interpolate.py
quite seriously).
Please take a look @cpelley, if you're in before me tomorrow !
Thanks for looking into this for me @pp-mo
Taking one test at a time, the test_trajectory_extraction
test failure concerns me.
Having looked at the numbers, it should not require any interpolation as the points exist... even if not, they are not within a 'reasonable' error in any case:
# Pull out a single point - no interpolation required
single_point = iris.analysis.trajectory.interpolate(
cube, [('grid_latitude', [-0.1188]),
('grid_longitude', [359.57958984])])
expected = cube[..., 10, 0].data
self.assertArrayAllClose(single_point[..., 0].data, expected, rtol=2.0e-7)
self.assertCML(single_point, ('trajectory', 'single_point.cml'),
checksum=False)
Difference between expected and what is returned: min: 0.000e+00, max: 2.133e-02
Tweaked the calculation in a different way -- looking promising but not done yet ...