[antonsoo]

empirical_cdf() documents the proportion of observations <= v, but currently counts only observations < v. For [1, 2, 2, 3], querying 2 returns 0.25 instead of 0.75; querying the sample maximum also fails to return 1.

Include equal observations and add regressions for ties, a constant sample, unsorted input and thresholds outside the sample range. A separate check covers 630 queries against the bundled BEAST/MrBayes posterior samples using sorted ranks as the reference. The Python suites pass on 3.12 and 3.8 with optional PAUP interoperability disabled, and the configured linter passes.

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Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 89.13%. Comparing base (6a628f4) to head (eb7e47e).
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Additional details and impacted files

@@           Coverage Diff           @@
##             main     #259   +/-   ##
=======================================
  Coverage   89.12%   89.13%           
=======================================
  Files         116      116           
  Lines       13366    13375    +9     
=======================================
+ Hits        11913    11922    +9     
  Misses       1453     1453           

Flag	Coverage Δ
unittests	89.13% <100.00%> (+<0.01%)	⬆️

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[mmore500]

lgtm, simple fix, this function isn’t used elsewhere in the library. Could change the docstring and keep current behavior, but new behavior is more correct.

[mmore500]

Merging, thank you @antonsoo !