Added -nogs option for diving class and timeout for subprocess class

[Abhishekjsr283204]

References to other Issues or PRs

Brief description of what is fixed or changed

Fixes #24304
--nogs option for dvipng calls with a timeout for a subprocess call

Other comments

Release Notes

• printing
  • Call dvipng with "-nogs" option to avoid its stuck on Windows
  • Implement 10s time-out for any sub-process call

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• printing

  • Call dvipng with "-nogs" option to avoid its stuck on Windows (#26469 by @Abhishekjsr283204)

  • Implement 10s time-out for any sub-process call (#26469 by @Abhishekjsr283204)

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#### Brief description of what is fixed or changed
Fixes  #24304 
--nogs option for dvipng calls with a timeout for a subprocess call

#### Other comments


#### Release Notes

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  * 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 -->
* printing
  * Call dvipng with "-nogs" option to avoid its stuck on Windows
  * Implement 10s time-out for any sub-process call 

<!-- END RELEASE NOTES -->

[github-actions]

Benchmark results from GitHub Actions

Lower numbers are good, higher numbers are bad. A ratio less than 1
means a speed up and greater than 1 means a slowdown. Green lines
beginning with + are slowdowns (the PR is slower then master or
master is slower than the previous release). Red lines beginning
with - are speedups.

Significantly changed benchmark results (PR vs master)

Significantly changed benchmark results (master vs previous release)

| Change   | Before [2487dbb5]    | After [8e00716a]    |   Ratio | Benchmark (Parameter)                                                |
|----------|----------------------|---------------------|---------|----------------------------------------------------------------------|
| -        | 69.1±1ms             | 45.1±0.2ms          |    0.65 | integrate.TimeIntegrationRisch02.time_doit(10)                       |
| -        | 67.0±1ms             | 42.9±0.3ms          |    0.64 | integrate.TimeIntegrationRisch02.time_doit_risch(10)                 |
| +        | 19.6±0.3μs           | 30.7±0.2μs          |    1.56 | integrate.TimeIntegrationRisch03.time_doit(1)                        |
| -        | 5.61±0.05ms          | 2.88±0.02ms         |    0.51 | logic.LogicSuite.time_load_file                                      |
| -        | 74.6±0.08ms          | 29.1±0.1ms          |    0.39 | polys.TimeGCD_GaussInt.time_op(1, 'dense')                           |
| -        | 26.3±0.2ms           | 17.2±0.1ms          |    0.65 | polys.TimeGCD_GaussInt.time_op(1, 'expr')                            |
| -        | 73.9±0.2ms           | 29.0±0.1ms          |    0.39 | polys.TimeGCD_GaussInt.time_op(1, 'sparse')                          |
| -        | 255±0.9ms            | 125±0.7ms           |    0.49 | polys.TimeGCD_GaussInt.time_op(2, 'dense')                           |
| -        | 255±2ms              | 128±0.6ms           |    0.5  | polys.TimeGCD_GaussInt.time_op(2, 'sparse')                          |
| -        | 657±7ms              | 373±1ms             |    0.57 | polys.TimeGCD_GaussInt.time_op(3, 'dense')                           |
| -        | 652±2ms              | 376±2ms             |    0.58 | polys.TimeGCD_GaussInt.time_op(3, 'sparse')                          |
| -        | 498±8μs              | 290±1μs             |    0.58 | polys.TimeGCD_LinearDenseQuadraticGCD.time_op(1, 'dense')            |
| -        | 1.81±0.01ms          | 1.08±0.01ms         |    0.6  | polys.TimeGCD_LinearDenseQuadraticGCD.time_op(2, 'dense')            |
| -        | 5.87±0.02ms          | 3.09±0.01ms         |    0.53 | polys.TimeGCD_LinearDenseQuadraticGCD.time_op(3, 'dense')            |
| -        | 451±2μs              | 230±1μs             |    0.51 | polys.TimeGCD_QuadraticNonMonicGCD.time_op(1, 'dense')               |
| -        | 1.49±0.01ms          | 692±7μs             |    0.46 | polys.TimeGCD_QuadraticNonMonicGCD.time_op(2, 'dense')               |
| -        | 4.92±0.02ms          | 1.65±0.01ms         |    0.34 | polys.TimeGCD_QuadraticNonMonicGCD.time_op(3, 'dense')               |
| -        | 383±5μs              | 207±2μs             |    0.54 | polys.TimeGCD_SparseGCDHighDegree.time_op(1, 'dense')                |
| -        | 2.44±0.02ms          | 1.24±0.01ms         |    0.51 | polys.TimeGCD_SparseGCDHighDegree.time_op(3, 'dense')                |
| -        | 10.1±0.06ms          | 4.32±0.03ms         |    0.43 | polys.TimeGCD_SparseGCDHighDegree.time_op(5, 'dense')                |
| -        | 362±1μs              | 168±1μs             |    0.47 | polys.TimeGCD_SparseNonMonicQuadratic.time_op(1, 'dense')            |
| -        | 2.52±0.02ms          | 896±2μs             |    0.36 | polys.TimeGCD_SparseNonMonicQuadratic.time_op(3, 'dense')            |
| -        | 9.84±0.04ms          | 2.65±0.03ms         |    0.27 | polys.TimeGCD_SparseNonMonicQuadratic.time_op(5, 'dense')            |
| -        | 1.04±0.02ms          | 427±3μs             |    0.41 | polys.TimePREM_LinearDenseQuadraticGCD.time_op(3, 'dense')           |
| -        | 1.74±0.01ms          | 511±1μs             |    0.29 | polys.TimePREM_LinearDenseQuadraticGCD.time_op(3, 'sparse')          |
| -        | 5.98±0.03ms          | 1.81±0.01ms         |    0.3  | polys.TimePREM_LinearDenseQuadraticGCD.time_op(5, 'dense')           |
| -        | 8.54±0.07ms          | 1.49±0ms            |    0.17 | polys.TimePREM_LinearDenseQuadraticGCD.time_op(5, 'sparse')          |
| -        | 285±1μs              | 65.0±0.4μs          |    0.23 | polys.TimePREM_QuadraticNonMonicGCD.time_op(1, 'sparse')             |
| -        | 3.44±0.04ms          | 395±4μs             |    0.11 | polys.TimePREM_QuadraticNonMonicGCD.time_op(3, 'dense')              |
| -        | 3.96±0.04ms          | 286±4μs             |    0.07 | polys.TimePREM_QuadraticNonMonicGCD.time_op(3, 'sparse')             |
| -        | 7.12±0.08ms          | 1.27±0.01ms         |    0.18 | polys.TimePREM_QuadraticNonMonicGCD.time_op(5, 'dense')              |
| -        | 8.78±0.06ms          | 843±4μs             |    0.1  | polys.TimePREM_QuadraticNonMonicGCD.time_op(5, 'sparse')             |
| -        | 5.04±0.03ms          | 2.99±0.01ms         |    0.59 | polys.TimeSUBRESULTANTS_LinearDenseQuadraticGCD.time_op(2, 'sparse') |
| -        | 12.1±0.1ms           | 6.54±0.05ms         |    0.54 | polys.TimeSUBRESULTANTS_LinearDenseQuadraticGCD.time_op(3, 'dense')  |
| -        | 22.6±0.2ms           | 9.05±0.05ms         |    0.4  | polys.TimeSUBRESULTANTS_LinearDenseQuadraticGCD.time_op(3, 'sparse') |
| -        | 5.30±0.04ms          | 867±2μs             |    0.16 | polys.TimeSUBRESULTANTS_QuadraticNonMonicGCD.time_op(1, 'sparse')    |
| -        | 12.6±0.05ms          | 7.10±0.05ms         |    0.56 | polys.TimeSUBRESULTANTS_QuadraticNonMonicGCD.time_op(2, 'sparse')    |
| -        | 102±0.7ms            | 26.0±0.1ms          |    0.25 | polys.TimeSUBRESULTANTS_QuadraticNonMonicGCD.time_op(3, 'dense')     |
| -        | 168±0.6ms            | 53.9±0.07ms         |    0.32 | polys.TimeSUBRESULTANTS_QuadraticNonMonicGCD.time_op(3, 'sparse')    |
| -        | 175±0.5μs            | 111±0.5μs           |    0.64 | polys.TimeSUBRESULTANTS_SparseGCDHighDegree.time_op(1, 'dense')      |
| -        | 360±2μs              | 217±1μs             |    0.6  | polys.TimeSUBRESULTANTS_SparseGCDHighDegree.time_op(1, 'sparse')     |
| -        | 4.24±0.05ms          | 844±2μs             |    0.2  | polys.TimeSUBRESULTANTS_SparseGCDHighDegree.time_op(3, 'dense')      |
| -        | 5.20±0.02ms          | 381±2μs             |    0.07 | polys.TimeSUBRESULTANTS_SparseGCDHighDegree.time_op(3, 'sparse')     |
| -        | 19.9±0.1ms           | 2.82±0.02ms         |    0.14 | polys.TimeSUBRESULTANTS_SparseGCDHighDegree.time_op(5, 'dense')      |
| -        | 22.5±0.09ms          | 629±0.5μs           |    0.03 | polys.TimeSUBRESULTANTS_SparseGCDHighDegree.time_op(5, 'sparse')     |
| -        | 482±1μs              | 136±1μs             |    0.28 | polys.TimeSUBRESULTANTS_SparseNonMonicQuadratic.time_op(1, 'sparse') |
| -        | 4.68±0.02ms          | 637±4μs             |    0.14 | polys.TimeSUBRESULTANTS_SparseNonMonicQuadratic.time_op(3, 'dense')  |
| -        | 5.24±0.05ms          | 139±2μs             |    0.03 | polys.TimeSUBRESULTANTS_SparseNonMonicQuadratic.time_op(3, 'sparse') |
| -        | 13.3±0.2ms           | 1.29±0.01ms         |    0.1  | polys.TimeSUBRESULTANTS_SparseNonMonicQuadratic.time_op(5, 'dense')  |
| -        | 14.0±0.1ms           | 143±1μs             |    0.01 | polys.TimeSUBRESULTANTS_SparseNonMonicQuadratic.time_op(5, 'sparse') |
| -        | 136±2μs              | 74.3±2μs            |    0.55 | solve.TimeMatrixOperations.time_rref(3, 0)                           |
| -        | 252±0.7μs            | 88.0±0.04μs         |    0.35 | solve.TimeMatrixOperations.time_rref(4, 0)                           |
| -        | 24.2±0.1ms           | 10.3±0.06ms         |    0.43 | solve.TimeSolveLinSys189x49.time_solve_lin_sys                       |
| -        | 28.8±0.2ms           | 15.4±0.1ms          |    0.53 | solve.TimeSparseSystem.time_linsolve_Aaug(20)                        |
| -        | 55.7±0.7ms           | 24.8±0.09ms         |    0.44 | solve.TimeSparseSystem.time_linsolve_Aaug(30)                        |
| -        | 28.6±0.1ms           | 15.2±0.05ms         |    0.53 | solve.TimeSparseSystem.time_linsolve_Ab(20)                          |
| -        | 55.2±0.2ms           | 25.1±0.4ms          |    0.46 | solve.TimeSparseSystem.time_linsolve_Ab(30)                          |

Full benchmark results can be found as artifacts in GitHub Actions
(click on checks at the top of the PR).

[Abhishekjsr283204]

@oscarbenjamin sir please have a look