Rcal-622 Add the ability to copy resultantdq from SDF to a rampmodel

[ddavis-stsci]

Resolves RCAL-622

Closes #814

This PR adds the ability to copy resultantdq from a SDF science raw model to the new rampmodel created by dq_init.

Checklist

• added entry in CHANGES.rst under the corresponding subsection
• updated relevant tests
• updated relevant documentation
• updated relevant milestone(s)
• added relevant label(s)
• ran regression tests, post a link to the Jenkins job below. How to run regression tests on a PR
  https://plwishmaster.stsci.edu:8081/job/RT/job/Roman-Developers-Pull-Requests/570/
  The failures are all from requiring wcs and renaming the roman_datamodel which is being addressed in the coming rad and datamodels release.

[codecov]

Codecov Report

Attention: Patch coverage is 87.50000% with 1 line in your changes missing coverage. Please review.

Project coverage is 76.75%. Comparing base (d81a992) to head (e984921).
Report is 439 commits behind head on main.

Files	Patch %	Lines
romancal/dq_init/dq_init_step.py	87.50%	1 Missing ⚠️

Additional details and impacted files

@@           Coverage Diff           @@
##             main    #1085   +/-   ##
=======================================
  Coverage   76.74%   76.75%           
=======================================
  Files         105      105           
  Lines        7013     7016    +3     
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+ Hits         5382     5385    +3     
  Misses       1631     1631           

Flag	Coverage Δ		*Carryforward flag
nightly	62.99% <ø> (-0.03%)	⬇️	Carriedforward from d81a992

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[schlafly]

This looks good to me. It looks to me separate from this PR, but my recollection is that our guidance to SDF is that they should not include a resultantdq array when there are no flagged pixels, which we expect to be the case for >99% of real images. Is that also what you're thinking?

[ddavis-stsci]

That is correct, the resultantdq should be present only if there are data drops in the telemetry.