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Make generic polynomial multiplication interruptible #39884
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Make generic polynomial multiplication interruptible #39884
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Documentation preview for this PR (built with commit f551516; changes) is ready! 🎉 |
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LGTM. Hopefully the test won't kill someone's memory on a sufficiently fast computer...
Actually the memory consumption is only O(n) (even if you finish running the multiplication) and printing out is fast enough (try printing a |
Ah, right, degrees add, not multiply... facepalm Yes, you're right, it's not trouble. |
sagemathgh-39884: Make generic polynomial multiplication interruptible As in the title. Benchmark can be done as follows ``` sage: from sage.doctest.util import ensure_interruptible_after sage: R.<x> = CDF[] sage: f = R.random_element(degree=5000) sage: g = R.random_element(degree=5000) sage: %time h = f*f sage: %time h = f*g ``` The first one takes ≈ 2.32s and the second one takes ≈ 2.9s on my machine. Additional slowdown is within measurement error anyway (certainly checking a single `bool` is faster than constructing a new Python object). ### 📝 Checklist <!-- Put an `x` in all the boxes that apply. --> - [x] The title is concise and informative. - [x] The description explains in detail what this PR is about. - [ ] I have linked a relevant issue or discussion. - [x] I have created tests covering the changes. - [x] I have updated the documentation and checked the documentation preview. ### ⌛ Dependencies <!-- List all open PRs that this PR logically depends on. For example, --> <!-- - sagemath#12345: short description why this is a dependency --> <!-- - sagemath#34567: ... --> URL: sagemath#39884 Reported by: user202729 Reviewer(s): Travis Scrimshaw
sagemathgh-39884: Make generic polynomial multiplication interruptible As in the title. Benchmark can be done as follows ``` sage: from sage.doctest.util import ensure_interruptible_after sage: R.<x> = CDF[] sage: f = R.random_element(degree=5000) sage: g = R.random_element(degree=5000) sage: %time h = f*f sage: %time h = f*g ``` The first one takes ≈ 2.32s and the second one takes ≈ 2.9s on my machine. Additional slowdown is within measurement error anyway (certainly checking a single `bool` is faster than constructing a new Python object). ### 📝 Checklist <!-- Put an `x` in all the boxes that apply. --> - [x] The title is concise and informative. - [x] The description explains in detail what this PR is about. - [ ] I have linked a relevant issue or discussion. - [x] I have created tests covering the changes. - [x] I have updated the documentation and checked the documentation preview. ### ⌛ Dependencies <!-- List all open PRs that this PR logically depends on. For example, --> <!-- - sagemath#12345: short description why this is a dependency --> <!-- - sagemath#34567: ... --> URL: sagemath#39884 Reported by: user202729 Reviewer(s): Travis Scrimshaw
As in the title.
Benchmark can be done as follows
The first one takes ≈ 2.32s and the second one takes ≈ 2.9s on my machine. Additional slowdown is within measurement error anyway (certainly checking a single
bool
is faster than constructing a new Python object).📝 Checklist
⌛ Dependencies