Add dependency workaround for Intel-based Macs

[lymichelle21]

NOTE: This is a backup option in case the transition from tensorflow to PyTorch doesn't work

tensorflow is needed to enable data-driven features in Progpy. However, we need a dependency workaround using an older version of tensorflow at 2.16.2 since newer versions like 2.18.0 are not available for Intel-based Macs. Older versions of tensorflow may have issues with newer versions of numpy and numpoly.

The workaround thus includes a know working combination of of tensorflow==2.16.2, numpy==1.26.4, and numpoly==1.2.12.

More information on tensorflow support, refer to tensorflow/tensorflow#78836

[github-actions]

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[codecov-commenter]

Codecov Report

All modified and coverable lines are covered by tests ✅

Please upload report for BASE (release/v1.8@fbce739). Learn more about missing BASE report.

Additional details and impacted files

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##             release/v1.8     #227   +/-   ##
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  Coverage                ?   83.69%           
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  Files                   ?      103           
  Lines                   ?    10961           
  Branches                ?        0           
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  Hits                    ?     9174           
  Misses                  ?     1787           
  Partials                ?        0           

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