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37351b6 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 | import numpy as np
from reproduction.gpu_reproduction import summarize_sample_outputs
def test_sample_summary_reports_bias_variance_and_fidelity():
reference = np.array([1.0, 2.0, -1.0])
samples = np.array(
[
[1.0, 2.0, -1.0],
[1.2, 1.8, -0.8],
[0.8, 2.2, -1.2],
]
)
summary = summarize_sample_outputs(samples, reference)
np.testing.assert_allclose(summary["bias_relative_l2"], 0.0, atol=1e-15)
assert summary["mean_relative_l2"] > 0
assert summary["mean_cosine_similarity"] < 1.0
assert summary["empirical_mse_trace"] > 0
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