Wrap scientific notation base raised to power between curly braces

[mohamedrezk122]

References to other Issues or PRs

Fixes #11011

Brief description of what is fixed or changed

Printing scientific notation raised to a power in latex is not right.
The base should be wrapped first between curly brackets {}s as pointed out in the
issue description.

Previous Behavior:

>>> from sympy import * 
>>> x = Symbol("x")
>>> latex(S('1.453e4500')**x)
1.453 \cdot 10^{4500}^{x}                # incorrect, invalid latex 

After the Patch:

>>> from sympy import * 
>>> x = Symbol("x")
>>> latex(S('1.453e4500')**x)
{1.453 \cdot 10^{4500}}^{x}              # correct !

Also, a new testcase has been added to test_latex.py

Other comments

Release Notes

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#### References to other Issues or PRs
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Fixes #11011

#### Brief description of what is fixed or changed
Printing scientific notation raised to a power in latex is not right.
The base should be wrapped first between curly brackets {}s as pointed out in the 
issue description. 

**Previous Behavior:**
```python
>>> from sympy import * 
>>> x = Symbol("x")
>>> latex(S('1.453e4500')**x)
1.453 \cdot 10^{4500}^{x}                # incorrect, invalid latex 
```
**After the Patch:**
```python
>>> from sympy import * 
>>> x = Symbol("x")
>>> latex(S('1.453e4500')**x)
{1.453 \cdot 10^{4500}}^{x}              # correct !
```
Also, a new testcase has been added to ``test_latex.py``

#### Other comments


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

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  * Corrected a semantical error in the conversion between volt and statvolt which
    reported the volt as being larger than the statvolt.

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[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 [a00718ba]    | After [80660760]    |   Ratio | Benchmark (Parameter)                                                |
|----------|----------------------|---------------------|---------|----------------------------------------------------------------------|
| -        | 67.8±1ms             | 44.5±0.3ms          |    0.66 | integrate.TimeIntegrationRisch02.time_doit_risch(10)                 |
| +        | 18.1±0.08μs          | 30.5±0.7μs          |    1.69 | integrate.TimeIntegrationRisch03.time_doit(1)                        |
| -        | 5.32±0.01ms          | 2.84±0.02ms         |    0.53 | logic.LogicSuite.time_load_file                                      |
| -        | 74.0±0.5ms           | 28.7±0.08ms         |    0.39 | polys.TimeGCD_GaussInt.time_op(1, 'dense')                           |
| -        | 26.1±0.2ms           | 16.9±0.03ms         |    0.65 | polys.TimeGCD_GaussInt.time_op(1, 'expr')                            |
| -        | 73.6±1ms             | 29.0±0.08ms         |    0.39 | polys.TimeGCD_GaussInt.time_op(1, 'sparse')                          |
| -        | 257±2ms              | 124±0.2ms           |    0.48 | polys.TimeGCD_GaussInt.time_op(2, 'dense')                           |
| -        | 256±1ms              | 126±0.4ms           |    0.49 | polys.TimeGCD_GaussInt.time_op(2, 'sparse')                          |
| -        | 660±4ms              | 375±2ms             |    0.57 | polys.TimeGCD_GaussInt.time_op(3, 'dense')                           |
| -        | 653±3ms              | 373±2ms             |    0.57 | polys.TimeGCD_GaussInt.time_op(3, 'sparse')                          |
| -        | 505±4μs              | 284±1μs             |    0.56 | polys.TimeGCD_LinearDenseQuadraticGCD.time_op(1, 'dense')            |
| -        | 1.79±0.01ms          | 1.05±0ms            |    0.58 | polys.TimeGCD_LinearDenseQuadraticGCD.time_op(2, 'dense')            |
| -        | 5.79±0.02ms          | 3.09±0.02ms         |    0.53 | polys.TimeGCD_LinearDenseQuadraticGCD.time_op(3, 'dense')            |
| -        | 460±6μs              | 231±2μs             |    0.5  | polys.TimeGCD_QuadraticNonMonicGCD.time_op(1, 'dense')               |
| -        | 1.49±0.01ms          | 674±3μs             |    0.45 | polys.TimeGCD_QuadraticNonMonicGCD.time_op(2, 'dense')               |
| -        | 4.94±0.01ms          | 1.65±0.02ms         |    0.33 | polys.TimeGCD_QuadraticNonMonicGCD.time_op(3, 'dense')               |
| -        | 375±4μs              | 205±1μs             |    0.55 | polys.TimeGCD_SparseGCDHighDegree.time_op(1, 'dense')                |
| -        | 2.47±0.01ms          | 1.21±0.01ms         |    0.49 | polys.TimeGCD_SparseGCDHighDegree.time_op(3, 'dense')                |
| -        | 10.2±0.02ms          | 4.32±0.03ms         |    0.42 | polys.TimeGCD_SparseGCDHighDegree.time_op(5, 'dense')                |
| -        | 358±2μs              | 169±2μs             |    0.47 | polys.TimeGCD_SparseNonMonicQuadratic.time_op(1, 'dense')            |
| -        | 2.52±0.01ms          | 885±7μs             |    0.35 | polys.TimeGCD_SparseNonMonicQuadratic.time_op(3, 'dense')            |
| -        | 9.62±0.09ms          | 2.70±0.02ms         |    0.28 | polys.TimeGCD_SparseNonMonicQuadratic.time_op(5, 'dense')            |
| -        | 1.03±0.01ms          | 429±2μs             |    0.42 | polys.TimePREM_LinearDenseQuadraticGCD.time_op(3, 'dense')           |
| -        | 1.72±0ms             | 513±3μs             |    0.3  | polys.TimePREM_LinearDenseQuadraticGCD.time_op(3, 'sparse')          |
| -        | 5.95±0.03ms          | 1.79±0.01ms         |    0.3  | polys.TimePREM_LinearDenseQuadraticGCD.time_op(5, 'dense')           |
| -        | 8.49±0.04ms          | 1.54±0.01ms         |    0.18 | polys.TimePREM_LinearDenseQuadraticGCD.time_op(5, 'sparse')          |
| -        | 284±0.9μs            | 65.9±0.5μs          |    0.23 | polys.TimePREM_QuadraticNonMonicGCD.time_op(1, 'sparse')             |
| -        | 3.51±0.02ms          | 395±2μs             |    0.11 | polys.TimePREM_QuadraticNonMonicGCD.time_op(3, 'dense')              |
| -        | 3.96±0.01ms          | 283±0.8μs           |    0.07 | polys.TimePREM_QuadraticNonMonicGCD.time_op(3, 'sparse')             |
| -        | 7.09±0.06ms          | 1.27±0.02ms         |    0.18 | polys.TimePREM_QuadraticNonMonicGCD.time_op(5, 'dense')              |
| -        | 8.85±0.03ms          | 845±2μs             |    0.1  | polys.TimePREM_QuadraticNonMonicGCD.time_op(5, 'sparse')             |
| -        | 5.03±0.01ms          | 3.04±0ms            |    0.6  | polys.TimeSUBRESULTANTS_LinearDenseQuadraticGCD.time_op(2, 'sparse') |
| -        | 12.2±0.07ms          | 6.55±0.02ms         |    0.54 | polys.TimeSUBRESULTANTS_LinearDenseQuadraticGCD.time_op(3, 'dense')  |
| -        | 22.6±0.1ms           | 9.19±0.04ms         |    0.41 | polys.TimeSUBRESULTANTS_LinearDenseQuadraticGCD.time_op(3, 'sparse') |
| -        | 5.20±0.04ms          | 882±2μs             |    0.17 | polys.TimeSUBRESULTANTS_QuadraticNonMonicGCD.time_op(1, 'sparse')    |
| -        | 12.7±0.02ms          | 7.14±0.03ms         |    0.56 | polys.TimeSUBRESULTANTS_QuadraticNonMonicGCD.time_op(2, 'sparse')    |
| -        | 103±1ms              | 25.3±0.1ms          |    0.25 | polys.TimeSUBRESULTANTS_QuadraticNonMonicGCD.time_op(3, 'dense')     |
| -        | 168±1ms              | 54.8±0.4ms          |    0.33 | polys.TimeSUBRESULTANTS_QuadraticNonMonicGCD.time_op(3, 'sparse')    |
| -        | 174±0.8μs            | 110±2μs             |    0.63 | polys.TimeSUBRESULTANTS_SparseGCDHighDegree.time_op(1, 'dense')      |
| -        | 368±3μs              | 218±2μs             |    0.59 | polys.TimeSUBRESULTANTS_SparseGCDHighDegree.time_op(1, 'sparse')     |
| -        | 4.29±0.01ms          | 855±10μs            |    0.2  | polys.TimeSUBRESULTANTS_SparseGCDHighDegree.time_op(3, 'dense')      |
| -        | 5.34±0.02ms          | 389±1μs             |    0.07 | polys.TimeSUBRESULTANTS_SparseGCDHighDegree.time_op(3, 'sparse')     |
| -        | 20.3±0.1ms           | 2.81±0ms            |    0.14 | polys.TimeSUBRESULTANTS_SparseGCDHighDegree.time_op(5, 'dense')      |
| -        | 23.1±0.2ms           | 637±0.4μs           |    0.03 | polys.TimeSUBRESULTANTS_SparseGCDHighDegree.time_op(5, 'sparse')     |
| -        | 493±6μs              | 139±0.5μs           |    0.28 | polys.TimeSUBRESULTANTS_SparseNonMonicQuadratic.time_op(1, 'sparse') |
| -        | 4.86±0.1ms           | 620±2μs             |    0.13 | polys.TimeSUBRESULTANTS_SparseNonMonicQuadratic.time_op(3, 'dense')  |
| -        | 5.37±0.05ms          | 141±0.8μs           |    0.03 | polys.TimeSUBRESULTANTS_SparseNonMonicQuadratic.time_op(3, 'sparse') |
| -        | 13.3±0.05ms          | 1.30±0.01ms         |    0.1  | polys.TimeSUBRESULTANTS_SparseNonMonicQuadratic.time_op(5, 'dense')  |
| -        | 14.2±0.2ms           | 145±2μs             |    0.01 | polys.TimeSUBRESULTANTS_SparseNonMonicQuadratic.time_op(5, 'sparse') |
| -        | 133±1μs              | 74.7±0.2μs          |    0.56 | solve.TimeMatrixOperations.time_rref(3, 0)                           |
| -        | 247±0.4μs            | 86.9±0.6μs          |    0.35 | solve.TimeMatrixOperations.time_rref(4, 0)                           |
| -        | 24.2±0.2ms           | 10.2±0.03ms         |    0.42 | solve.TimeSolveLinSys189x49.time_solve_lin_sys                       |
| -        | 28.0±0.07ms          | 15.4±0.05ms         |    0.55 | solve.TimeSparseSystem.time_linsolve_Aaug(20)                        |
| -        | 54.3±0.3ms           | 24.7±0.07ms         |    0.45 | solve.TimeSparseSystem.time_linsolve_Aaug(30)                        |
| -        | 27.8±0.1ms           | 15.1±0.05ms         |    0.54 | solve.TimeSparseSystem.time_linsolve_Ab(20)                          |
| -        | 53.7±0.2ms           | 24.5±0.05ms         |    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).