ClaudeandClaude Opus 5.5
198208ac5b
- A1: ashtakavarga_shodhana.calc_sodhita_av (her entry; ashtakavarga.py frozen), level=not_calibrated + prediction_scoring_allowed=False on the chain; legacy subtraction stays removed (BUG-1209). - A2: select_narayana_seed_sign strength_profile rath_empty_sign_lord_strength_v1, shared by source-aware seed, MD and AD (matches her function on 6000 draws). - A3: preflight of logical branches; placeholder not an implementation; reference_only rules listed; 71 not_implemented; cmd_yoga not_implemented_count. - A4: neechabhanga_kendra name/category per her handoff. - 9e971559: Vimshottari AD record lord and native current PD in dasa convergence. - B10: Argala equal count stays strength_comparison_required (no Narayana borrow). - B11: full-reading bhava_bala.reference_relative_points, labelled product_relative_points_not_traditional, no bands. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01DbBXoyn7Hj3LCW3BUs5bZ8
304 lines
12 KiB
Python
304 lines
12 KiB
Python
#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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"""
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Argala（门闩）行星干预模块 v1.1
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从旧版“逐行星Argala”升级为“逐参考点/逐宫完整Argala”：
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- 主Argala: 2/4/11宫
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- Virodhargala: 12/10/3宫分别阻挡2/4/11宫
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- 特殊Argala: 第3宫有2颗以上凶星
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- 次级：第5宫是 Argala，第9宫是它的 Virodhargala，不再把第9宫另算一条次级 Argala
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- Argala Rajayoga分类: Poornargala / Tripadargala / Ardhargala / Padargala
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MIT复用来源：
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- jaimini-tropical/jaimini/core/argala.py (tunanfang-pixel, MIT)
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适配：使用本项目 chart 输出的英文行星名与恒星黄道星座索引。
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"""
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from typing import Dict, List
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SIGNS = ['Aries','Taurus','Gemini','Cancer','Leo','Virgo',
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'Libra','Scorpio','Sagittarius','Capricorn','Aquarius','Pisces']
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SIGN_LORDS = {'Aries':'Mars','Taurus':'Venus','Gemini':'Mercury','Cancer':'Moon',
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'Leo':'Sun','Virgo':'Mercury','Libra':'Venus','Scorpio':'Mars',
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'Sagittarius':'Jupiter','Capricorn':'Saturn','Aquarius':'Saturn','Pisces':'Jupiter'}
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NATURAL_MALEFICS = {'Sun', 'Mars', 'Saturn'}
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NATURAL_BENEFICS = {'Moon', 'Mercury', 'Jupiter', 'Venus'}
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NODES = {'Rahu', 'Ketu'}
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PRIMARY_ARGALA = {2, 4, 11}
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VIRODHARGALA_MAP = {2: 12, 4: 10, 11: 3}
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SECONDARY_ARGALA = {5, 9}
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def _house_from(ref_sign_idx: int, offset: int) -> int:
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"""从参考星座起算第offset宫对应的星座索引。"""
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return (ref_sign_idx + offset - 1) % 12
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def _planets_in_sign(sign_idx: int, planet_sign_indices: Dict[str, int], include_nodes: bool = False) -> List[str]:
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planets = []
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for pname, psi in planet_sign_indices.items():
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if not include_nodes and pname in NODES:
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continue
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if psi % 12 == sign_idx % 12:
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planets.append(pname)
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return planets
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def classify_argala_rajayoga(argala_result: Dict) -> Dict:
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"""按主Argala占据数量分类Rajayoga强度。"""
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primary = argala_result.get('primary', {})
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occupied = sum(1 for h in ['H2', 'H4', 'H11'] if primary.get(h, {}).get('planets'))
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blocked = sum(1 for h in ['H2', 'H4', 'H11'] if primary.get(h, {}).get('blockers'))
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if occupied == 3:
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return {'type': 'Poornargala', 'level': 4, 'cn': '完整Argala，最强支持'}
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if occupied == 2:
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return {'type': 'Tripadargala', 'level': 3, 'cn': '三足Argala，强支持'}
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if occupied == 1:
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return {'type': 'Ardhargala', 'level': 2, 'cn': '半Argala，中等支持'}
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if blocked:
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return {'type': 'Padargala', 'level': 1, 'cn': '弱Argala且受阻'}
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return {'type': 'None', 'level': 0, 'cn': '无明显Argala'}
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def _pair_status(planets, blockers):
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if not planets:
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return 'absent'
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if len(planets) == len(blockers):
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return 'strength_comparison_required'
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return 'effective' if len(planets) > len(blockers) else 'obstructed'
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def _compare_pair(planets, blockers, sign_idx, block_idx, chart, include_nodes):
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"""Pair verdict by occupant count; an equal count stays unresolved.
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原值：同数时借用 Narayana 起运的两级强弱（select_narayana_seed_sign：行星数，
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再木星、水星或宫主的星座相位）自动择胜，ruling_pending=True
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新值：同数一律 strength_comparison_required，不自动择胜（与占星师主线
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scripts/argala.py::_pair_status 相同）；strength_comparison 只记录未决原因
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原因：占星师 2026-11-07 rulings.md B10：同数借用 Narayana 强弱无原典依据
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"""
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status = _pair_status(planets, blockers)
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if status != 'strength_comparison_required':
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return status, {'status': 'not_required', 'basis': 'occupant_count'}
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return status, {
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'status': 'unresolved',
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'basis': 'equal_occupant_count',
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'reason': 'equal_count_no_source_tie_break',
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'claim_boundary': ('Equal Argala and Virodhargala counts are not decided automatically; '
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'no source supports borrowing the Narayana sign-strength order here.'),
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}
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_VERDICT_LABEL = {
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'strength_comparison_required': '待定',
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'special_argala_adjudication_required': '待定',
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'mixed': '吉凶交错',
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'supported': '支持',
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'obstructed': '受阻',
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'neutral': '中性',
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}
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def calc_argala_for_reference(ref_sign_idx: int, planet_sign_indices: Dict[str, int], include_nodes: bool = False) -> Dict:
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"""计算单一参考点的完整Argala。"""
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# Ketu in the reference sign reverses counting whether or not nodes count as occupants.
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direction = -1 if planet_sign_indices.get('Ketu') == ref_sign_idx else 1
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def reference_house(offset):
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return (ref_sign_idx + direction * (offset - 1)) % 12
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result = {
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'source_reference_packets': ['science_of_light_v1_argala_reference_points'],
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'ref_sign': SIGNS[ref_sign_idx],
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'ref_sign_idx': ref_sign_idx,
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'primary': {},
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'specific': None,
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'secondary': {},
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'argala_count': 0,
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'virodhargala_count': 0,
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'net_result': 'neutral',
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'counting_direction': 'antizodiacal' if direction == -1 else 'zodiacal',
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'rule_source': 'PVR Integrated Approach §§10.5–10.7, source pages 117–118',
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}
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for h in sorted(PRIMARY_ARGALA):
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argala_sign = reference_house(h)
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planets = _planets_in_sign(argala_sign, planet_sign_indices, include_nodes)
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block_h = VIRODHARGALA_MAP[h]
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block_sign = reference_house(block_h)
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blockers = _planets_in_sign(block_sign, planet_sign_indices, include_nodes)
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status, comparison = _compare_pair(
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planets, blockers, argala_sign, block_sign, planet_sign_indices, include_nodes,
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)
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effective = None if status == 'strength_comparison_required' else status == 'effective'
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result['primary'][f'H{h}'] = {
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'house_from_reference': h,
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'sign': SIGNS[argala_sign],
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'sign_idx': argala_sign,
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'planets': planets,
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'blocked_by_house': block_h,
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'blocked_by_sign': SIGNS[block_sign],
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'blockers': blockers,
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'effective': effective,
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'comparison_status': status,
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'strength_comparison': comparison,
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'effect': _argala_effect(h, planets, blockers, status),
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}
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if planets:
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result['argala_count'] += 1
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if blockers:
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result['virodhargala_count'] += 1
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h3_sign = reference_house(3)
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h3_planets = _planets_in_sign(h3_sign, planet_sign_indices, include_nodes)
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h3_malefics = [p for p in h3_planets if p in NATURAL_MALEFICS]
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result['specific'] = {
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'house': 3,
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'sign': SIGNS[h3_sign],
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'sign_idx': h3_sign,
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'planets': h3_planets,
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'malefics': h3_malefics,
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'effective': len(h3_malefics) >= 2,
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'rule': '第3宫有2颗以上天然凶星形成特殊Argala',
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'method_status': 'parameter_sensitive_two_malefic_threshold',
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'obstruction_rule': 'Once formed, special third-house Argala has no obstruction (Rath source p363). Formation threshold remains profile-dependent.',
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}
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if result['specific']['effective']:
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result['argala_count'] += 1
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for h in sorted(SECONDARY_ARGALA):
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sign_idx = reference_house(h)
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planets = _planets_in_sign(sign_idx, planet_sign_indices, include_nodes)
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result['secondary'][f'H{h}'] = {
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'house_from_reference': h,
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'sign': SIGNS[sign_idx],
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'sign_idx': sign_idx,
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'planets': planets,
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'role': 'argala' if h == 5 else 'virodhargala',
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}
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fifth, ninth = result['secondary']['H5'], result['secondary']['H9']
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secondary_status, comparison = _compare_pair(
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fifth['planets'], ninth['planets'], fifth['sign_idx'], ninth['sign_idx'],
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planet_sign_indices, include_nodes,
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)
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fifth.update(
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blocked_by_house=9,
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blocked_by_sign=ninth['sign'],
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strength_comparison=comparison,
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blockers=ninth['planets'],
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comparison_status=secondary_status,
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effective=None if secondary_status == 'strength_comparison_required' else secondary_status == 'effective',
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)
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ninth['obstructs_house'] = 5
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statuses = [row['comparison_status'] for row in result['primary'].values()]
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statuses.append(secondary_status)
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if 'strength_comparison_required' in statuses:
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result['net_result'] = 'strength_comparison_required'
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elif 'effective' in statuses and 'obstructed' in statuses:
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result['net_result'] = 'mixed'
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elif 'effective' in statuses:
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result['net_result'] = 'supported'
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elif 'obstructed' in statuses:
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result['net_result'] = 'obstructed'
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if result['specific']['effective']:
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result['net_result'] = 'special_argala_adjudication_required'
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result['verdict_label'] = _VERDICT_LABEL[result['net_result']]
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result['rajayoga_classification'] = classify_argala_rajayoga(result)
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result['rajayoga_classification']['method_status'] = 'legacy_occupancy_heuristic'
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result['rajayoga_classification']['claim_boundary'] = (
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'Occupancy label only; not an adjudication of obstruction or a verified Rajayoga.'
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)
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return result
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def calc_argala(planet_sign_indices: Dict[str, int], asc_sign_idx: int, include_nodes: bool = False) -> Dict:
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"""
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计算全盘Argala。
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Args:
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planet_sign_indices: {'Sun': 0, 'Moon': 3, ...}
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asc_sign_idx: 上升星座索引
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include_nodes: 是否把Rahu/Ketu纳入占位阻挡统计（默认False，遵循Jaimini七行星口径）
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"""
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houses = {}
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for house_num in range(1, 13):
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ref_sign_idx = (asc_sign_idx + house_num - 1) % 12
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houses[f'house_{house_num}'] = calc_argala_for_reference(ref_sign_idx, planet_sign_indices, include_nodes)
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planet_refs = {}
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for pname, sign_idx in planet_sign_indices.items():
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if pname in NODES and not include_nodes:
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continue
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planet_refs[pname] = calc_argala_for_reference(sign_idx, planet_sign_indices, include_nodes)
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summary = _summarize_argala(houses)
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return {
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'method': 'Jaimini Argala + Virodhargala (jaimini-tropical MIT adapted)',
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'version': '1.1',
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'include_nodes': include_nodes,
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'ascendant': SIGNS[asc_sign_idx],
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'houses': houses,
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'planets': planet_refs,
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'summary': summary,
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}
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def _summarize_argala(houses: Dict) -> Dict:
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supported = []
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obstructed = []
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strongest = []
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unresolved = []
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mixed = []
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for house_key, data in houses.items():
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if data['net_result'] == 'supported':
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supported.append(house_key)
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elif data['net_result'] == 'obstructed':
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obstructed.append(house_key)
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elif data['net_result'] == 'mixed':
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mixed.append(house_key)
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elif str(data['net_result']).endswith('_required'):
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unresolved.append(house_key)
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if house_key not in unresolved:
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level = sum(row.get('effective') is True for row in data['primary'].values())
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level += int(data['secondary']['H5'].get('effective') is True)
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strongest.append((house_key, level, 'effective_pair_count'))
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strongest.sort(key=lambda x: x[1], reverse=True)
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summary = {
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'supported_houses': supported,
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'obstructed_houses': obstructed,
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'top_argala_houses': [{'house': h, 'level': lvl, 'type': typ} for h, lvl, typ in strongest[:5] if lvl > 0],
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'supported_count': len(supported),
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'obstructed_count': len(obstructed),
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'unresolved_houses': unresolved,
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'mixed_houses': mixed,
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'ranking_basis': 'effective_pair_count_not_classical_rajayoga_strength',
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}
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if unresolved:
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summary['unresolved_label'] = '待定'
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return summary
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def _argala_effect(house: int, planets: List[str], blockers: List[str], status=None) -> str:
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if not planets:
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return '无行星形成此类Argala'
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base = {
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2: '资源、语言、家族与财务支持',
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4: '内在稳定、住所、母亲、教育与幸福感支持',
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11: '收益、人脉、愿望实现与社会网络支持',
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}.get(house, '一般支持')
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if blockers and len(blockers) == len(planets):
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if status == 'effective':
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return f'{base}，双方数量相等，所选强弱口径判为有效'
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if status == 'obstructed':
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return f'{base}，双方数量相等，所选强弱口径判为受阻'
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return f'待定：{base}，双方数量相等，须比较强弱后裁决'
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if blockers and len(blockers) > len(planets):
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return f'{base}，但被{len(blockers)}个Virodhargala阻挡'
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if blockers:
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return f'{base}，有轻度阻挡但仍可能有效'
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return f'{base}，未见对应阻挡'
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