Add `PickledFunction` data

[superstar54]

Implement the PickledFunction class as a subclass of orm.Data, the class handles

• storing and retrieving serialized function
• maintaining relevant metadata such as the function name, module name, Python version, and pickle protocol.

PythonJob adds function input, which accepts PickledFunction as input.

Docs

Add docs: use the PythonJob task outside the WorkGraph to run a Python function on a remote computer. For example, in a WorkChain or run a single CalcJob calculation.

[codecov-commenter]

Codecov Report

Attention: Patch coverage is 76.74419% with 30 lines in your changes missing coverage. Please review.

Project coverage is 79.43%. Comparing base (5937b88) to head (f6e8efb). Report is 33 commits behind head on main.

Files	Patch %	Lines
aiida_workgraph/orm/function_data.py	85.00%	12 Missing :warning:
aiida_workgraph/orm/general_data.py	52.63%	9 Missing :warning:
aiida_workgraph/calculations/python.py	63.15%	7 Missing :warning:
aiida_workgraph/calculations/python_parser.py	50.00%	2 Missing :warning:

Additional details and impacted files

```diff @@ Coverage Diff @@ ## main #229 +/- ## ========================================== + Coverage 75.75% 79.43% +3.68% ========================================== Files 70 62 -8 Lines 4615 4561 -54 ========================================== + Hits 3496 3623 +127 + Misses 1119 938 -181 ``` | [Flag](https://app.codecov.io/gh/aiidateam/aiida-workgraph/pull/229/flags?src=pr&el=flags&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=aiidateam) | Coverage Δ | | |---|---|---| | [python-3.11](https://app.codecov.io/gh/aiidateam/aiida-workgraph/pull/229/flags?src=pr&el=flag&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=aiidateam) | `79.30% <74.41%> (+3.63%)` | :arrow_up: | | [python-3.12](https://app.codecov.io/gh/aiidateam/aiida-workgraph/pull/229/flags?src=pr&el=flag&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=aiidateam) | `79.32% <74.41%> (?)` | | | [python-3.9](https://app.codecov.io/gh/aiidateam/aiida-workgraph/pull/229/flags?src=pr&el=flag&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=aiidateam) | `79.36% <76.74%> (+3.63%)` | :arrow_up: | Flags with carried forward coverage won't be shown. [Click here](https://docs.codecov.io/docs/carryforward-flags?utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=aiidateam#carryforward-flags-in-the-pull-request-comment) to find out more.

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[superstar54]

Have you tried out or thought about using cloudpickle.register_pickle_by_value of the imported modules so a installation is not necessary on remote machines?

Thanks for pointing out this. I wasn't aware of this before. However, I found that this feature is still experimental and may fail in certain cases. We can add this feature as optional. Maybe in another PR.