fix: Don't use exact assert for test_probability.py

[matthewfeickert]

Description

• Resolves Duplicated assert in test_independent unit test #1251
• Required for PR feat: Add discovery p0 test statistic #1232
• Addresses Regression in jaxlib v0.1.58 for jax.scipy.special.gammaln for CPU jax-ml/jax#5386

To avoid the issues with floating point comparison out to 15 decimal places that started surfacing with the release of jaxlib v0.1.58 don't use exact asserts for floating point comparison in test_probability.py. atol=1e-12 was chosen as that is well beyond the floating point precision that should matter for comparion here, but not up to the 1e-15 or so that caused the difference.

Also remove redundant test added by mistake in PR #582

Checklist Before Requesting Reviewer

• Tests are passing
• "WIP" removed from the title of the pull request
• Selected an Assignee for the PR to be responsible for the log summary

Before Merging

For the PR Assignees:

• Summarize commit messages into a comprehensive review of the PR

* Use np.allclose with an absolute tolerance of 1e-12 instead of exact assert to compare floating point values in test_probability.py
   - Applies to tests test_joint and test_independent
* Remove redundant test added by mistake in PR #582

[codecov]

Codecov Report

Merging #1252 (397a5d7) into master (8c4d1ba) will not change coverage.
The diff coverage is n/a.

@@           Coverage Diff           @@
##           master    #1252   +/-   ##
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  Coverage   97.47%   97.47%           
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  Files          63       63           
  Lines        3716     3716           
  Branches      525      525           
=======================================
  Hits         3622     3622           
  Misses         55       55           
  Partials       39       39           

Flag	Coverage Δ
unittests	97.47% <ø> (ø)

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