Converting spark udf's to native functions

[phanikumarvemuri]

This PR is to address issue #6 . It removes duplicate code and converts udfs to spark native functions for performance.

Description

This removes setting dq results twice to the context and also convert udfs remove_empty_maps and get_action_list to native functions using filter and transform.

Related Issue

#6

How Has This Been Tested?

Tested Locally

Screenshots (if appropriate):

Types of changes

• Bug fix (non-breaking change which fixes an issue)
• New feature (non-breaking change which adds functionality)
• Breaking change (fix or feature that would cause existing functionality to change)

Checklist:

• My code follows the code style of this project.
• My change requires a change to the documentation.
• I have updated the documentation accordingly.
• I have read the CONTRIBUTING document.
• I have added tests to cover my changes.
• All new and existing tests passed.

[codecov]

Codecov Report

Patch coverage: 100.00% and no project coverage change.

Comparison is base (a396979) 100.00% compared to head (b7dcf1d) 100.00%.

Additional details and impacted files

@@            Coverage Diff            @@
##              main       #26   +/-   ##
=========================================
  Coverage   100.00%   100.00%           
=========================================
  Files           22        22           
  Lines         1369      1362    -7     
=========================================
- Hits          1369      1362    -7     

Files Changed	Coverage Δ
spark_expectations/core/expectations.py	100.00% <ø> (ø)
spark_expectations/utils/udf.py	100.00% <100.00%> (ø)

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[asingamaneni]

LGTM, Thanks for suggesting and making the improvements.