feat: add remaining pyarrow types

[aaravind100]

Add the remaining pyarrow types as per the conversation in #1676.

Below types are added:

• null
• date32
• date64
• duration
• float16
• time32
• time64
• map_
• binary
• large_binary
• large_string

Note: null requires field nullable option to be set to True for successful validation.

[codecov[bot]]

Codecov Report

Attention: Patch coverage is 97.91667% with 2 lines in your changes missing coverage. Please review.

Project coverage is 82.77%. Comparing base (812b2a8) to head (e605423). Report is 150 commits behind head on main.

Files with missing lines	Patch %	Lines
pandera/engines/pandas_engine.py	97.91%	2 Missing :warning:

Additional details and impacted files

@@             Coverage Diff             @@
##             main    #1720       +/-   ##
===========================================
- Coverage   94.28%   82.77%   -11.52%     
===========================================
  Files          91      117       +26     
  Lines        7013     8811     +1798     
===========================================
+ Hits         6612     7293      +681     
- Misses        401     1518     +1117     

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[aaravind100]

@cosmicBboy any suggestions for fixing this test?

FAILED tests/core/test_pandas_engine.py::test_pandas_data_type_coerce[ArrowMap] - assert 0 > 0

It does appear to raise a ParserError, but the count is 0.

[cosmicBboy]

@aaravind100 it looks like the underlying error is:

NotImplementedError: Converting strings to map<int64, int64> is not implemented

It looks like this test case needs to be updated to contain a list of dicts where keys are ints and values are strings? https://github.com/unionai-oss/pandera/pull/1720/files#diff-358f62ffd0dea15c0dcd1efc34883303f1d085f35ebb8d3923c781872f6eb563R317-R325

[aaravind100]

@cosmicBboy implementing a coerce value method fixed it. It was not able to get the failures cases.

[aaravind100]

Rebased and fixed all the failing tests :smile:

There was this weird case where pandas 2.0.3 was sneaking in the nox "tests(extra='core', pydantic='2.3.0', python='3.8', pandas='1.5.3')" session.

https://github.com/unionai-oss/pandera/actions/runs/9735487403/job/26864752599?pr=1720#step:7:133

[cosmicBboy]

thanks @aaravind100 !