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Some diamond-norm tests are failing with the latest 1.4.0 release of cvxpy. Given the complex optimisation problem that the dnorm represents, it's quite possible that randomised tests would already have had a low success rate, and this is just a case of some internal tweaks destabilising the particular operator choice in our test.
jakelishman
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type: qa
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stable backport potential
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Oct 10, 2023
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Pull Request Test Coverage Report for Build 6467869439
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ElePT
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LGTM!
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Some diamond-norm tests are failing with the latest 1.4.0 release of cvxpy. Given the complex optimisation problem that the dnorm represents, it's quite possible that randomised tests would already have had a low success rate, and this is just a case of some internal tweaks destabilising the particular operator choice in our test. (cherry picked from commit 337832e)
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Some diamond-norm tests are failing with the latest 1.4.0 release of cvxpy. Given the complex optimisation problem that the dnorm represents, it's quite possible that randomised tests would already have had a low success rate, and this is just a case of some internal tweaks destabilising the particular operator choice in our test. (cherry picked from commit 337832e) Co-authored-by: Jake Lishman <[email protected]>
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Changelog: None
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stable backport potential
The bug might be minimal and/or import enough to be port to stable
type: qa
Issues and PRs that relate to testing and code quality
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Summary
Some diamond-norm tests are failing with the latest 1.4.0 release of cvxpy. Given the complex optimisation problem that the dnorm represents, it's quite possible that randomised tests would already have had a low success rate, and this is just a case of some internal tweaks destabilising the particular operator choice in our test.
Details and comments
Hopefully should get CI running again.