tests: restore the negative checks masked by stale fixtures (WP-B groups B-E)
Test-side only; no production, manifest or pin change. Group A identity
checks (test_source_pin and the jets.py pins) are unchanged and stay
failing as recorded.
B test_refined_dfg: receipt/plan fixtures load the frozen manifest JSON
that verify_source returns for a matching tree (frozen_manifest), and
the two manifest-selection assertions call verify_source with only its
working-tree hash comparison neutralised (selected_manifest), so the
malformed/collision/observation-mode/checkout receipt checks run again.
test_source_pin remains the single identity check.
C test_channel_root: int(owner)-1 (uint64-int became float on NumPy 1);
test_shifted_storage: FP32 NaN fill so the arrays stay FP32. Both reach
the intended immutable/representation/FP32/density checks.
D test_block_stepper fake gets _ddf_shifting; test_fine_surface_gpu sets
_boundary_hosts/_level_jets instead of the read-only fine_boundary view;
test_refinement_followup fake_backend sets _layouts/_ddf_shifting/
_level_cfgs instead of the read-only fine_layout view (as reviewed in
32da2d73).
E test_kernel_contracts_reject_before_upload: an inconsistent pair tau is
now first rejected by the hierarchy chain check; the test asserts that
rejection, then bypasses _check_chain to prove the per-level omega/tau
guard still rejects, and asserts no mem_alloc/memcpy_htod in either case.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
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@@ -78,13 +78,15 @@ class ShiftedStorage(unittest.TestCase):
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def test_shifted_density_and_tag_validation(self):
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old,new = topology(A),topology(B)
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a = tuple(np.where(m[None], np.float32(-.001), np.nan).repeat(9,axis=0) for m in old.leaf_masks)
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a = tuple(np.where(m[None], np.float32(-.001), np.float32(np.nan)).repeat(9,axis=0)
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for m in old.leaf_masks) # FP32 under NumPy 1 and 2 promotion rules
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remap(old,new,a)
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with self.assertRaisesRegex(ValueError,'representation'): remap(old,new,a,False)
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with self.assertRaisesRegex(ValueError,'FP32'): remap(old,new,tuple(x.astype(np.float64) for x in a))
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a[0][:,old.leaf_masks[0]] = -1
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with self.assertRaisesRegex(ValueError,'positive density'): remap(old,new,a)
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rest = tuple(np.where(m[None],np.float32(0),np.nan).repeat(9,axis=0) for m in old.leaf_masks)
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rest = tuple(np.where(m[None],np.float32(0),np.float32(np.nan)).repeat(9,axis=0)
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for m in old.leaf_masks)
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remap(old,new,rest)
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with self.assertRaisesRegex(ValueError,'positive density'):
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remap_synchronized(old,new,rest,base_count=7,level_steps=(7,14,28),phase='postcollision_g')
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