{"action":"closed","issue":{"url":"https://api.github.com/repos/JuliaMatrices/LowRankApprox.jl/issues/10","repository_url":"https://api.github.com/repos/JuliaMatrices/LowRankApprox.jl","labels_url":"https://api.github.com/repos/JuliaMatrices/LowRankApprox.jl/issues/10/labels{/name}","comments_url":"https://api.github.com/repos/JuliaMatrices/LowRankApprox.jl/issues/10/comments","events_url":"https://api.github.com/repos/JuliaMatrices/LowRankApprox.jl/issues/10/events","html_url":"https://github.com/JuliaMatrices/LowRankApprox.jl/issues/10","id":332871695,"node_id":"MDU6SXNzdWUzMzI4NzE2OTU=","number":10,"title":"norm(matrix) -> opnorm(matrix) in Julia 0.7","user":{"login":"stevengj","id":2913679,"node_id":"MDQ6VXNlcjI5MTM2Nzk=","avatar_url":"https://avatars3.githubusercontent.com/u/2913679?v=4","gravatar_id":"","url":"https://api.github.com/users/stevengj","html_url":"https://github.com/stevengj","followers_url":"https://api.github.com/users/stevengj/followers","following_url":"https://api.github.com/users/stevengj/following{/other_user}","gists_url":"https://api.github.com/users/stevengj/gists{/gist_id}","starred_url":"https://api.github.com/users/stevengj/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/stevengj/subscriptions","organizations_url":"https://api.github.com/users/stevengj/orgs","repos_url":"https://api.github.com/users/stevengj/repos","events_url":"https://api.github.com/users/stevengj/events{/privacy}","received_events_url":"https://api.github.com/users/stevengj/received_events","type":"User","site_admin":false},"labels":[],"state":"closed","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":1,"created_at":"2018-06-15T18:21:49Z","updated_at":"2018-11-08T15:51:34Z","closed_at":"2018-11-08T15:51:34Z","author_association":"NONE","body":"It looks like may be using `norm(matrix)`.  In Julia 0.7, this will compute the Frobenius norm (`vecnorm` in Julia 0.6), due to JuliaLang/julia#27401.   If you want the induced/operator norm as in Julia 0.6, use `opnorm(matrix)` instead, or `Compat.opnorm(matrix)` to work in 0.6 and 0.7 (JuliaLang/Compat.jl#577).\r\n\r\nNote that, for testing purposes, rather than `@test norm(A - B) ≤ tol`, it is usually preferred to do `@test A ≈ B` or `@test A ≈ B rtol=...` (which uses `isapprox`)."}}
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