ok so i can start working on this issue and try to find a tangible solution
and report to you

On Tue, 13 Jan 2026 at 19:42, Aasim <[email protected]> wrote:

> 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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