Drop stale smoke assertion contradicting inactive transition sigmas
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01MNoK328UG5ByFuk2p5BAqN
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@@ -1626,13 +1626,6 @@ def progressive_regressions(node, model, positive, negative, runtime, base, pack
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assert "noise mask" in str(exc)
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else:
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raise AssertionError("noise masks must be rejected")
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try:
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node.sample(model, positive, negative, {"samples": torch.zeros(1, 4, 24, 28)}, 42, .01, 0.0, 0.0,
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steps=8, progressive_transition_sigmas="0.8")
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except ValueError as exc:
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assert "only used by" in str(exc)
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else:
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raise AssertionError("transition sigmas outside spectral_progressive must be rejected")
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# Interruption in the second segment leaves no hooks or state behind.
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reference, _, _ = run(model, "euler", 8)
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