Take average of intensity values with duplicate Q AND solve the issue…

[yrshang]

… with bg interpolation when bg q and sample q values are too close or identical

Description of the changes

Take average of intensity values with duplicate Q AND solve the issue with bg interpolation when bg q and sample q values are too close or identical

Check all that apply:

• added release notes (if not, provide an explanation in the work description)
• updated documentation
• Source added/refactored
• Added unit tests
• Added integration tests
• Verified that tests requiring the /SNS and /HFIR filesystems pass without fail

References:

• Links to IBM EWM items: 6776
• Links to related issues or pull requests:

Manual test for the reviewer

Check list for the reviewer

• release notes updated, or an explanation is provided as to why release notes are unnecessary
• best software practices
  • clearly named variables (better to be verbose in variable names)
  • code comments explaining the intent of code blocks
• All the tests are passing
• The documentation is up to date
• code comments added when explaining intent

[codecov]

Codecov Report

Attention: Patch coverage is 97.67442% with 1 line in your changes missing coverage. Please review.

Project coverage is 58.87%. Comparing base (24f2ab8) to head (4207f12).
Report is 14 commits behind head on next.

Files	Patch %	Lines
src/usansred/reduce.py	97.67%	1 Missing ⚠️

Additional details and impacted files

@@            Coverage Diff             @@
##             next      #13      +/-   ##
==========================================
+ Coverage   56.99%   58.87%   +1.88%     
==========================================
  Files           5        5              
  Lines         765      800      +35     
==========================================
+ Hits          436      471      +35     
  Misses        329      329              

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[jmborr]

looks 👌