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TensMul: ensure that coeff*nocoeff == self #26476

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Brief description of what is fixed or changed

Earlier, if doit had not been called on a TensMul, self.coeff would be set to 1, while self.nocoeff would unconditionally drop the non-tensor arguments. This PR ensures that even if doit has not been called, we have self.coeff * self.nocoeff == self

Other comments

I have added a test.

Release Notes

  • tensor
    • For any TensMul instance A, ensure that A.coeff*A.nocoeff == A is always true.

self.coeff is only updated when self.doit has been called (before that,
it is just 1)
Ensure that for any TensMul instance, self.coeff * self.nocoeff == self
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Hi, I am the SymPy bot. I'm here to help you write a release notes entry. Please read the guide on how to write release notes.

Your release notes are in good order.

Here is what the release notes will look like:

  • tensor
    • For any TensMul instance A, ensure that A.coeff*A.nocoeff == A is always true. (#26476 by @Kishore96in)

This will be added to https://github.com/sympy/sympy/wiki/Release-Notes-for-1.13.

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#### Brief description of what is fixed or changed

Earlier, if `doit` had not been called on a TensMul, self.coeff would be set to 1, while self.nocoeff would unconditionally drop the non-tensor arguments. This PR ensures that even if doit has not been called, we have `self.coeff * self.nocoeff == self`

#### Other comments

I have added a test.

#### Release Notes

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* solvers
  * Added a new solver for logarithmic equations.

* functions
  * Fixed a bug with log of integers. Formerly, `log(-x)` incorrectly gave `-log(x)`.

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<!-- BEGIN RELEASE NOTES -->
* tensor
  * For any TensMul instance `A`, ensure that `A.coeff*A.nocoeff == A` is always true.
<!-- END RELEASE NOTES -->

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