A PR doesn't necessarily need a corresponding issue. You can just explain
the fix made in the PR description above
the release notes.

On Tue, 13 Jan, 2026, 19:36 shuvro bhattacharjee, <[email protected]>
wrote:

> To make a pull request should i create an issue first? Or i can directly
> make PR without making any issue ? Because there is no issue created for
> this error .
>
> Thank You
> On Tuesday, January 13, 2026 at 4:44:00 AM UTC+6 Oscar wrote:
>
>> Yes, that seems reasonable.
>>
>> On Mon, 12 Jan 2026 at 22:06, shuvro bhattacharjee
>> <[email protected]> wrote:
>> >
>> > Hi Everyone,
>> >
>> > I wanted to share a fix for a test failure I encountered while running
>> the SymPy test suite on my machine.
>> >
>> > My Environment:
>> >
>> > OS: Windows 11 (64-bit)
>> >
>> > Python Version: 3.13.1
>> >
>> > Module: sympy.codegen
>> >
>> > The Problem:
>> >
>> > When running the tests for Newton's Method algorithms, I hit a Failure
>> in test_newtons_method_function__rtol_cse_nan. The test was failing because
>> of a tiny floating-point precision difference between my hardware/Python
>> version and the hardcoded threshold in the test.
>> >
>> > Calculated Error: $2.86126... \times 10^{-15}$
>> >
>> > Allowed Threshold: $2.64523... \times 10^{-15}$
>> >
>> > Even though the difference was only $0.0000000000000002$, it was enough
>> to trigger an AssertionError.
>> >
>> > How I Solved It:
>> >
>> > I modified the test file located at:
>> >
>> > sympy\codegen\tests\test_algorithms.py
>> >
>> > At line 180, I adjusted the tolerance to be slightly more flexible. I
>> changed the assertion to allow for a small buffer:
>> >
>> > Original: assert abs(result - ref) < req
>> >
>> > Fixed: assert abs(result - ref) < req * 1.5
>> >
>> > Verification:
>> >
>> > After applying the fix, I reran the test suite. The failure is gone,
>> and the module now passes 100% on my system!
>> >
>> > Final Test Output:
>> >
>> > Plaintext
>> > sympy\codegen\tests\test_algorithms.py .ss.s. [100%] ================ 3
>> passed, 3 skipped, 1 warning in 1.70s ================
>> >
>> > This ensures the test suite is robust against the slight variations in
>> floating-point handling found in newer Python versions like 3.13.
>> >
>> > Can I make a PR for contributing on this issue?
>> >
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>>
>>
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