initial commit for adding the p wave pick function

[JiaoMaWHU]

Summary

• This change implements a P wave arrival-time pick function based on the probability prediction from machine learning model.
  • It leverages the SeisBench PhaseNet model for the probability prediction.
  • A probability threshold is used to choose picks.
  • Time window is supported for focusing on a certain period of the input.

Testing

• unit test added

[codecov[bot]]

Codecov Report

Attention: Patch coverage is 96.66667% with 1 lines in your changes are missing coverage. Please review.

Project coverage is 55.30%. Comparing base (91addbb) to head (1351480).

:exclamation: Current head 1351480 differs from pull request most recent head 6c8425c

Please upload reports for the commit 6c8425c to get more accurate results.

Files	Patch %	Lines
python/mspasspy/algorithms/ml/arrival.py	96.66%	1 Missing :warning:

Additional details and impacted files

```diff @@ Coverage Diff @@ ## master #517 +/- ## ========================================== + Coverage 54.54% 55.30% +0.75% ========================================== Files 146 145 -1 Lines 22371 22590 +219 Branches 1336 0 -1336 ========================================== + Hits 12203 12493 +290 - Misses 9828 10097 +269 + Partials 340 0 -340 ```

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[JiaoMaWHU]

the next step is to consider two options:

1. return all picks of a waveform
2. return the most possible pick inside a window

[JiaoMaWHU]

to fix the docker issue, we can try

1. exclude cuda library from seisbenc
2. clean up cache: https://github.com/mspass-team/mspass/actions/caches
3. try removing https://github.com/mspass-team/mspass/blob/7f959aa19e4fc3393bced4061067032df7b6db95/.github/workflows/docker-publish.yml#L108C1-L109C59

[JiaoMaWHU]

Hi @wangyinz please take a look at this pr, it's ready for review. Thank you.