Maintain Consistent rng_key Valuing

[AFg6K7h4fhy2]

This PR takes instances matching this pattern:

np.random.seed(223)
with numpyro.handlers.seed(rng_seed=np.random.randint(1, 60)):
    model.sample()

and updates them to this pattern:

with numpyro.handlers.seed(rng_seed=223):
    model.sample()

Oftentimes, in the same file or tutorial, the same rng_seed value will be used (e.g., 223 in the above example) across instances of numpyro.handlers.seed(). This PR maintains this consistency at the file level, so if all np.random.seed()s had value 62 in a file, then all rng_seed values in that file are also valued at 62.

[codecov]

Codecov Report

All modified and coverable lines are covered by tests ✅

Project coverage is 92.80%. Comparing base (4ea2e4b) to head (2816b27).

Additional details and impacted files

@@           Coverage Diff           @@
##             main     #317   +/-   ##
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  Coverage   92.80%   92.80%           
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  Files          39       39           
  Lines         904      904           
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  Hits          839      839           
  Misses         65       65           

Flag	Coverage Δ
unittests	92.80% <ø> (ø)

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[dylanhmorris]

Thanks @AFg6K7h4fhy2!