Buckets:
| import numpy as np | |
| import pytest | |
| from analysis.bootstrap import paired_cluster_mean | |
| def test_unequal_cluster_sizes_preserve_example_mean(): | |
| a=np.zeros((2,4));b=np.array([[1,1,1,0],[1,1,1,0.]]) | |
| r=paired_cluster_mean(a,b,['a','a','a','b'],n=1000) | |
| assert r['difference']==.75 | |
| assert r['difference']!=.5 # equal-prompt weighting is a different estimand | |
| same=paired_cluster_mean(b,b,['a','a','a','b'],n=100) | |
| assert same['ci95']==[0.,0.] | |
| def test_missing_predictions_rejected(): | |
| with pytest.raises(ValueError):paired_cluster_mean([[np.nan]],[[1]],['p'],n=10) | |
| def test_one_cluster_does_not_claim_ci(): | |
| assert paired_cluster_mean([[0,0]],[[1,1]],['p','p'],n=10)['ci95'] is None | |
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