[FIX] ASR: reuse full SHAPE_RANGE grid in clean_windows (include beta=3.5)

[sappelhoff]

clean_windows hardcoded np.arange(1.7, 3.5, 0.15), a 12-point grid that excludes the beta=3.5 endpoint, overriding the correct 13-point SHAPE_RANGE that fit_eeg_distribution defaults to. Reuse SHAPE_RANGE so the KL grid search can select beta=3.5.

Testing

Added a regression test that spies on the shape_range argument clean_windows passes down (now the full 13-point grid incl 3.5), plus a fit-level test showing the dropped endpoint changes the selected shape parameter. Full tests/test_asr.py passes; ruff clean.

[codecov]

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 83.10%. Comparing base (1fcfbfd) to head (01fe3b4).

Additional details and impacted files

@@           Coverage Diff           @@
##           master     #115   +/-   ##
=======================================
  Coverage   83.10%   83.10%           
=======================================
  Files          25       25           
  Lines        2817     2817           
=======================================
  Hits         2341     2341           
  Misses        476      476           

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[sappelhoff]

Note: includes the nonlinear_eigenspace reproducibility fix from #118. test_asr_class[*-riemann] compares incremental-vs-bulk output with a loose tolerance and is flaky on CI because that path used an unseeded RNG; this can trip on any PR regardless of what it changes. #118 is the root fix — once it merges first, this commit drops out on rebase.