Rework iparm setting

[j-fu]

Checklist

• Appropriate tests were added
• Any code changes were done in a way that does not break public API
• All documentation related to code changes were updated
• The new code follows the
  contributor guidelines, in particular the SciML Style Guide and
  COLPRAC.
• Any new documentation only uses public API

Additional context

This tries to fix #497

Pardiso defaults for highly indefinite matrices.

This commit essentially reverts #89 and introduces a new
kwarg "cache_analysis" (default false) to PardisoJL() which, if true would
lead to the behaviour of #89.

Also, allow the user to overwrite all iparms modified by
the extension besides of 12.

Fixes also a problem found by @chmerdon

[codecov]

Codecov Report

Attention: Patch coverage is 54.16667% with 11 lines in your changes missing coverage. Please review.

Project coverage is 62.72%. Comparing base (270b56d) to head (a339509).

Files	Patch %	Lines
ext/LinearSolvePardisoExt.jl	52.17%	11 Missing ⚠️

Additional details and impacted files

@@            Coverage Diff             @@
##             main     #505      +/-   ##
==========================================
+ Coverage   62.71%   62.72%   +0.01%     
==========================================
  Files          29       29              
  Lines        2229     2235       +6     
==========================================
+ Hits         1398     1402       +4     
- Misses        831      833       +2     

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[ChrisRackauckas]

Looks like some of the Pardiso tests are failing from this?

[j-fu]

Well, they did fail on master before...
In fact, now I fixed the transpose flag for MKL Pardiso.
Tested also for Panua (formerly project) pardiso ( see Pardiso.jl 0.5.7), which appears to be a bit brittle with iterative solution of complex problem when verbosity is on.

[j-fu]

Once this PR is merged I would prepare another one which should allow to choose form both pardiso flavors from the code. Now, just Panua is chosen over MKL if it is installed.

[ChrisRackauckas]

Thanks!