Details
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Type:
Story
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Status: Done
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Resolution: Done
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Fix Version/s: None
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Component/s: None
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Labels:None
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Story Points:1
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Epic Link:
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Team:Data Release Production
Description
Using a bleed version of the conda environment, meas_modelfit test TruncatedGaussianTestCase is failing
Error Message
AssertionError: True is not false : 1/4 elements differ with rtol=2.220446049250313e-16, atol=2.220446049250313e-16 2.500000000000001 != 2.5 (diff=8.881784197001252e-16/2.500000000000001=3.5527136788004996e-16)
Stacktrace
self = <test_truncatedGaussian.TruncatedGaussianTestCase testMethod=test2d> def test2d(self): if scipy is None: return for i in range(5): x = numpy.linspace(-1, 1, 5) model = numpy.zeros((x.size, 2), dtype=float) model[:, 0] = x model[:, 1] = x**2 + x data = numpy.random.randn(x.size) + model[:, 0]*0.9 + model[:, 1]*1.1 q0 = 0.5*float(numpy.dot(data, data)) gradient = -numpy.dot(model.transpose(), data) hessian = numpy.dot(model.transpose(), model) sigma = numpy.linalg.inv(hessian) > self.assertFloatsAlmostEqual(numpy.linalg.inv(sigma), hessian) tests/test_truncatedGaussian.py:161: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ ../../stack/Linux64/utils/16.0-18-g0a50484+1/python/lsst/utils/tests.py:735: in assertFloatsAlmostEqual testCase.assertFalse(failed, msg="\n".join(errMsg)) E AssertionError: True is not false : 1/4 elements differ with rtol=2.220446049250313e-16, atol=2.220446049250313e-16 E 2.500000000000001 != 2.5 (diff=8.881784197001252e-16/2.500000000000001=3.5527136788004996e-16)
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Attachments
Activity
| Field | Original Value | New Value |
|---|---|---|
| Attachment | condaPkgDiffs.txt [ 36998 ] |
| Team | Data Release Production [ 10301 ] | |
| Watchers | Gabriele Comoretto, Tim Jenness [ Gabriele Comoretto, Tim Jenness ] | Gabriele Comoretto, Jim Bosch, Tim Jenness [ Gabriele Comoretto, Jim Bosch, Tim Jenness ] |
| Assignee | Jim Bosch [ jbosch ] |
| Assignee | Jim Bosch [ jbosch ] |
| Status | To Do [ 10001 ] | In Progress [ 3 ] |
| Description |
Using a bleed version of the conda environment, meas_modelfit test TruncatedGaussianTestCase is failing
h3. Error Message AssertionError: True is not false : 1/4 elements differ with rtol=2.220446049250313e-16, atol=2.220446049250313e-16 2.500000000000001 != 2.5 (diff=8.881784197001252e-16/2.500000000000001=3.5527136788004996e-16) h3. Stacktrace self = <test_truncatedGaussian.TruncatedGaussianTestCase testMethod=test2d> def test2d(self): if scipy is None: return for i in range(5): x = numpy.linspace(-1, 1, 5) model = numpy.zeros((x.size, 2), dtype=float) model[:, 0] = x model[:, 1] = x**2 + x data = numpy.random.randn(x.size) + model[:, 0]*0.9 + model[:, 1]*1.1 q0 = 0.5*float(numpy.dot(data, data)) gradient = -numpy.dot(model.transpose(), data) hessian = numpy.dot(model.transpose(), model) sigma = numpy.linalg.inv(hessian) > self.assertFloatsAlmostEqual(numpy.linalg.inv(sigma), hessian) tests/test_truncatedGaussian.py:161: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ ../../stack/Linux64/utils/16.0-18-g0a50484+1/python/lsst/utils/tests.py:735: in assertFloatsAlmostEqual testCase.assertFalse(failed, msg="\n".join(errMsg)) E AssertionError: True is not false : 1/4 elements differ with rtol=2.220446049250313e-16, atol=2.220446049250313e-16 E 2.500000000000001 != 2.5 (diff=8.881784197001252e-16/2.500000000000001=3.5527136788004996e-16) |
Using a bleed version of the conda environment, meas_modelfit test TruncatedGaussianTestCase is failing
h3. Error Message AssertionError: True is not false : 1/4 elements differ with rtol=2.220446049250313e-16, atol=2.220446049250313e-16 2.500000000000001 != 2.5 (diff=8.881784197001252e-16/2.500000000000001=3.5527136788004996e-16) h3. Stacktrace {{self = <test_truncatedGaussian.TruncatedGaussianTestCase testMethod=test2d> def test2d(self): if scipy is None: return for i in range(5): x = numpy.linspace(-1, 1, 5) model = numpy.zeros((x.size, 2), dtype=float) model[:, 0] = x model[:, 1] = x**2 + x data = numpy.random.randn(x.size) + model[:, 0]*0.9 + model[:, 1]*1.1 q0 = 0.5*float(numpy.dot(data, data)) gradient = -numpy.dot(model.transpose(), data) hessian = numpy.dot(model.transpose(), model) sigma = numpy.linalg.inv(hessian) > self.assertFloatsAlmostEqual(numpy.linalg.inv(sigma), hessian) tests/test_truncatedGaussian.py:161: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ ../../stack/Linux64/utils/16.0-18-g0a50484+1/python/lsst/utils/tests.py:735: in assertFloatsAlmostEqual testCase.assertFalse(failed, msg="\n".join(errMsg)) E AssertionError: True is not false : 1/4 elements differ with rtol=2.220446049250313e-16, atol=2.220446049250313e-16 E 2.500000000000001 != 2.5 (diff=8.881784197001252e-16/2.500000000000001=3.5527136788004996e-16)}} {{ }} {{ }} |
Gabriele Comoretto [X], are you in a position to see if this solves your problem? I'm pretty confident it fixes the particular failure you saw, but it's possible that will just reveal more failures.
| Reviewers | Gabriele Comoretto [ gcomoretto ] | |
| Status | In Progress [ 3 ] | In Review [ 10004 ] |
I am setting up an environment and I will try to build it manually
I have executed a couple of runs, one manually, and one on a test Jenkins, using the fix, and I did not get the error.
| Status | In Review [ 10004 ] | Reviewed [ 10101 ] |
| Resolution | Done [ 10000 ] | |
| Status | Reviewed [ 10101 ] | Done [ 10002 ] |
| Epic Link |
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| Story Points | 1 |
The problem is just when building in Linux.
Numpy new version is 1.5.4. The old version is 1.4.5.
Scipy new version is 1.2.0. The old version is 1.1.0.
In attachment the sdiff between environemnts.