732642856
67 lines
2.6 KiB
Python
67 lines
2.6 KiB
Python
import json
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from pathlib import Path
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ROOT = Path(__file__).resolve().parents[1]
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PACKET = ROOT / "references/oracle/panchanga_local_jyotishganit_comparison_2026_07_21.json"
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INDEX = ROOT / "references/oracle/evidence_packet_index_2026_07_19.json"
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def test_panchanga_local_jyotishganit_packet_scope_and_boundary():
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data = json.loads(PACKET.read_text(encoding="utf-8"))
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assert data["scope"] == "panchanga_local_jyotishganit_comparison"
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assert data["ticket_id"] == "TEMCQ-061"
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assert data["claim_status"] == "partial"
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assert data["truth_matrix_allowed"] is False
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assert data["production_tuning_allowed"] is False
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assert data["algorithm_reuse_policy"] == "reuse_existing_local_muhurta_calc_panchanga_no_new_algorithm"
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assert data["boundary"] == "local_jyotishganit_panchanga_field_observation_not_global_truth"
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def test_panchanga_local_values_reuse_existing_muhurta_engine():
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data = json.loads(PACKET.read_text(encoding="utf-8"))
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assert data["source_local_method"] == "scripts/muhurta.py::calc_panchanga"
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assert data["local_normalized_raw"] == {
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"vaara": "Thursday",
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"tithi": "Shukla Tritiya",
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"nakshatra": "Uttara Bhadrapada",
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"yoga": "Shubha",
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"karana": "Garija",
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}
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assert data["jyotishganit_observed_raw"] == {
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"@type": "Panchanga",
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"karana": "Gara",
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"nakshatra": "Uttara Bhadrapada",
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"tithi": "Shukla Tritiya",
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"vaara": "Thursday",
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"yoga": "Shubha",
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}
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def test_panchanga_field_comparison_distinguishes_alias_from_truth():
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data = json.loads(PACKET.read_text(encoding="utf-8"))
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rows = {row["field"]: row for row in data["field_comparison"]}
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assert set(rows) == {"vaara", "tithi", "nakshatra", "yoga", "karana"}
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assert [row["status"] for row in rows.values()].count("within_tolerance") == 4
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assert rows["karana"]["status"] == "alias_match"
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assert rows["karana"]["alias_rule"] == "Gara == Garija"
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assert data["summary"] == {
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"fields_total": 5,
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"within_tolerance": 4,
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"alias_match": 1,
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"formula_mismatch": 0,
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"unit_mismatch": 0,
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"truth_upgrades": 0,
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}
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def test_panchanga_local_comparison_registered_in_evidence_index():
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index = json.loads(INDEX.read_text(encoding="utf-8"))
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entry = next(
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row for row in index["packets"]
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if row["packet_id"] == "panchanga_local_jyotishganit_comparison_2026_07_21"
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)
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assert entry["domain"] == "three_engine_parity"
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assert entry["claim_status"] == "partial"
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assert entry["consumer_policy"] == "research_observation_only"
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