It's PR link not issue sorry for the mistake

PR :- https://github.com/sympy/sympy/pull/29181

On Wed, 4 Mar 2026, 00:24 Vedant Dusane, <[email protected]> wrote:

> Issue link :- #29181
>
> On Wed, 4 Mar 2026, 00:23 Vedant Dusane, <[email protected]> wrote:
>
>> Hi all,
>>
>> For the past few weeks, I have been busy working on the type annotations
>> of the DomainMatrix layer. During my process, I found that many type
>> annotations are not specific to the DomainMatrix class and are rather
>> related to the inconsistencies between DomainMatrix and the low-level
>> dup_/dmp_ polynomial helper functions and the higher-level interfaces.
>>
>> The generic type parameter (Er) that was introduced in the DomainMatrix
>> class does not always align well with the generic types in the low-level
>> polynomial arithmetic helper functions. This has been causing many mypy
>> conflicts and operator type conflicts. This has also been causing many
>> casts to appear in the code, which should rather have explicit type
>> information.
>>
>> I was thinking of extending the current work to include:
>>
>> 1. Stabilizing and finalizing the current generic work on the
>> DomainMatrix generic layer.
>> 2. Synchronizing type variables between DomainMatrix and the low-level
>> dup_/dmp_ polynomial helper functions.
>> 3. Reducing generic duplication and eliminating unsafe casts.
>> 4. Improving return type consistency in selected high-level polynomial
>> interfaces.
>>
>> The aim of the extension would not include annotating the entire polys
>> subsystem but rather make the DomainMatrix-based polynomial matrix pipeline
>> generically consistent.
>>
>> Before expanding further in this direction, I would appreciate feedback
>> on whether this scope sounds useful and aligned with SymPy’s current
>> priorities
>>
>> Thanks,
>> Vedant
>>
>> On Sun, 22 Feb 2026, 13:11 Vedant Dusane, <[email protected]> wrote:
>>
>>> Hello everyone,
>>>
>>> I have been adding type annotations to SymPy and would like to continue
>>> with the polys. I thought I would like to share the files where I would
>>> like to work on and see if this is a good thing to do.
>>>
>>> The files I am currently planning to add type annotations to are:
>>>
>>> -
>>>
>>>
>>>
>>>
>>>
>>>
>>>
>>>
>>>
>>> *sympy/polys/polytools.py- sympy/polys/compatibility.py-
>>> sympy/polys/polyclasses.py- sympy/polys/euclidtools.py-
>>> sympy/polys/polyoptions.py- sympy/polys/matrices/domainmatrix.py-
>>> sympy/polys/matrices/sdm.py- sympy/polys/ring_series.py-
>>> sympy/polys/rootisolation.py- sympy/polys/subresultants.py*
>>> Their are too many in all this file that are left to annotated.
>>> currently i am trying to cover the whole file  *"domainmatrix.py" .* so
>>> let me know is this sound's good . If yes then i will start drafting GSoC
>>> proposal in that way only .
>>>
>>> Do these files seem like a good thing to work on, or would you suggest
>>> working on other files?
>>>
>>> Best regards,
>>> Vedant
>>>
>>> On Wednesday, 11 February 2026 at 10:48:19 UTC-8 Vedant Dusane wrote:
>>>
>>>> Hi everyone,
>>>>
>>>> It vedant Dusane from this side. As i am contributing to sympy from
>>>> last few month on one fix and* important issue* that will help sympy 
>>>> i*mproving
>>>> code safety, developer* *productivity, reduce future bugs*, and many
>>>> more. I have* merged some PRs* on Add type annotation. On that bases i
>>>> am planning to prepare a full GSoC scope.
>>>>
>>>> I would like to propose the  *project idea *related to the*
>>>> improvement of type annotations* and type safety within the
>>>> *"sympy.polys"* system, especially within* core files* such as 
>>>> *"polytools.py,"
>>>> "polyutils.py,"* etc.
>>>>
>>>> Polynomials is an elementary part of the computational algebra library
>>>> delivered by SymPy. Many of the *library’s higher-level functions* are
>>>> built upon the polynomial subsystem. As I was *conditioning* the type
>>>> annotations in *"polytools.py*", I saw that there are *certain
>>>> functions* that require type information that is *not available yet
>>>> and uses generic types.*
>>>>
>>>> My proposed approach would be to:
>>>>
>>>>
>>>>    1.  Systematically* reviewing *the important *polynomial modules*
>>>>    ("polytools", "polyutils", "polyclasses" and "domains")
>>>>    2. *Adding precise* and* correct type annotations* according to
>>>>    actual return values and behavior
>>>>    3.  *Improved type clarity* for polynomial representations,*
>>>>    generators*, and *domain interactions*
>>>>    4. *Ensuring* complete compatibility with *existing behavior,
>>>>    correct ruff format and passing all test cases and mypy checks*
>>>>
>>>>
>>>> The aim is to enhance maintainability, static correctness, and
>>>> developer experience without changing runtime functionality.
>>>>
>>>> Any review or guidance will help me a lot
>>>>
>>>> Thank you
>>>> - vedant Dusane
>>>>
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>>

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