fixing bug: array and keys did not match in particle_filter

[mstraut]

arrays and keys did not match, values were being updated incorrectly.

[github-actions]

Thank you for opening this PR. Each PR into dev requires a code review. For the code review, look at the following:

• Reviewer (someone other than author) should look for bugs, efficiency, readability, testing, and coverage in examples (if relevant).
• Ensure that each PR adding a new feature should include a test verifying that feature.
• All errors from static analysis must be resolved.
• Review the test coverage reports (if there is a change) - will be added as comment on PR if there is a change
• Review the software benchmarking results (if there is a change) - will be added as comment on PR
• Any added dependencies are included in requirements.txt, setup.py, and dev_guide.rst (this document)
• All warnings from static analysis must be reviewed and resolved - if deemed appropriate.

[github-actions]

Thank you for your contributions. If you haven't already, please send a signed Contributor License Agreement (CLA) to Christopher Teubert (christopher.a.teubert@nasa.gov). CLAs can be found here: https://github.com/nasa/prog_models/tree/master/forms. Also, make sure you're familiar with the developer notes and contributing sections of our developers guide, https://nasa.github.io/progpy/dev_guide.html#notes-for-developers

[codecov-commenter]

Codecov Report

Merging #77 (f7b01e3) into dev (ff234f0) will increase coverage by 0.01%.
The diff coverage is 100.00%.

@@            Coverage Diff             @@
##              dev      #77      +/-   ##
==========================================
+ Coverage   84.24%   84.25%   +0.01%     
==========================================
  Files          99       99              
  Lines       10157    10164       +7     
==========================================
+ Hits         8557     8564       +7     
  Misses       1600     1600              

Files Changed	Coverage Δ
src/progpy/state_estimators/particle_filter.py	92.94% <100.00%> (ø)
tests/test_state_estimators.py	93.66% <100.00%> (+0.12%)	⬆️