feat: allow definition of multiple dtypes per column in Schema to facilitate multiple attempts at dtype matching

[rich-iannone]

This PR enhances the Schema class so that multiple column data types can be declared. This doesn't affect previous tests or potential workflows since a dtype can be provided as a string value (previously) or list of strings (new here). Many new tests added to verify the new functionality.

We also fix an argument typo across multiple files (the full_match_dtypes= arg) and update/improve the clarity of the schema documentation.

Typographical error fixes:

• Corrected the spelling of full_match_dtypes= in pointblank/_interrogation.py, pointblank/schema.py, and pointblank/validate.py files.

Documentation improvements:

• Enhanced the schema documentation in pointblank/schema.py to clarify the format for specifying column names and data types.

Regex pattern refinements:

• Updated regex patterns in pointblank/validate.py to use [0-9] instead of \d for better readability and consistency (also to avoid a deprecation warning)

[codecov]

Codecov Report

All modified and coverable lines are covered by tests ✅

Project coverage is 99.83%. Comparing base (3669361) to head (9d5d89f).
Report is 7 commits behind head on main.

Additional details and impacted files

@@           Coverage Diff           @@
##             main      #17   +/-   ##
=======================================
  Coverage   99.82%   99.83%           
=======================================
  Files          11       11           
  Lines        1760     1784   +24     
=======================================
+ Hits         1757     1781   +24     
  Misses          3        3           

☔ View full report in Codecov by Sentry.
📢 Have feedback on the report? Share it here.