refactor(examples): replace sector-specific example material with generic, fictitious examples
The context sets, the packaged knowledge bases and the example bundles are replaced by one fictitious example set about IT operations in an invented organisation: three context sets (serverrom-2027, driftsavtale-2027 and the two-base drift-og-avtale-2027), two synthetic knowledge bases under src/portfolio_optimiser/data/kunnskapsbaser and two example bundles under src/portfolio_optimiser/data/bundles. Numbers, codes and structural values in tests and fixtures are kept; names, ids and wording change. Dated measurement documents that only recorded runs on the replaced material are deleted. Gate figures measured on the new set are not comparable with earlier ones. The exclusion gate from the previous commit is green: 0 tracked files hit outside the shared/ subtree. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
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1147 changed files with 24138 additions and 9503 deletions
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@ -50,7 +50,7 @@ def _features(
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codes: frozenset[str] = frozenset({"05.2", "03.1"}),
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measure_type: str = "scope_reduction",
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saving: float = 220_000.0,
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description: str = "asphalt base course reduction near school",
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description: str = "licence scope reduction near head office",
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) -> types.SimpleNamespace:
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"""Duck-typed stand-in for ``ProposalFeatures`` — semretrieval never imports ``verdicts``
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at runtime, so the unit tests do not need the real (MAF-bound) type either."""
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@ -134,7 +134,7 @@ def test_fake_embedder_is_bit_stable_across_processes(tmp_path: Path) -> None:
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" affected_codes=frozenset({'05.2', '03.1'}),\n"
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" measure_type='scope_reduction',\n"
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" claimed_saving_nok=220000.0,\n"
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" description='asphalt base course reduction near school',\n"
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" description='licence scope reduction near head office',\n"
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")\n"
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f"np.save({str(there)!r}, FakeEmbedder()(f))\n"
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)
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@ -197,7 +197,7 @@ _QUERY = ProposalFeatures(
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affected_codes=frozenset({"05.2", "03.1"}),
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measure_type="scope_reduction",
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claimed_saving_nok=220_000, # bucket [100k, 500k)
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description="asphalt base course reduction near school",
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description="licence scope reduction near head office",
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)
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@ -222,7 +222,7 @@ def _store_with_true_match_and_decoys() -> tuple[VerdictStore, str]:
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affected_codes=frozenset({"09.1"}),
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measure_type="rate_renegotiation",
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claimed_saving_nok=50_000,
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description="asphalt base course reduction near school",
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description="licence scope reduction near head office",
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),
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decision="rejected",
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rationale="surface-text decoy",
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@ -233,7 +233,7 @@ def _store_with_true_match_and_decoys() -> tuple[VerdictStore, str]:
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affected_codes=frozenset({"21.2"}),
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measure_type="material_substitution",
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claimed_saving_nok=700_000,
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description="asphalt base course reduction extra words",
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description="licence scope reduction extra words",
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),
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decision="rejected",
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rationale="surface-text decoy",
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