v6.3.0: 冲刺全球第一 — Prashna + 8新Dasha + Yoga扩展
## 新增模块 - prashna.py: 卜卦系统 (KP sublord答案+Arudha+12问事分类) - extended_dashas.py: Kalachakra/Narayana/Yogini/Shasti-Hayani/Navamsa/Kendradi/Tara/Shoola 8种 - yoga_expansion.py: Kemadruma/Adhi/Amala/Saraswati/Lakshmi/GrahaYuddha/Gandanta 7种 ## 能力跃迁 - Dasha系统: 10 → 18种 - Yoga规则: ~100 → ~107种 - Prashna: 零 → 完整 ## 排名影响 Prashna是与#2 vedic-calc的最大差距，现已补齐。 Yoga与#1 PyJHora的差距从3倍缩小至<3倍。
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#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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"""
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扩展Dasha系统 v2.0 — 冲刺全球第一
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新增：Kalachakra, Narayana, Yogini, Shasti-Hayani, Navamsa, Kendradi, Tara, Shoola
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Dasha总数：10 → 18
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"""
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from datetime import datetime, timedelta
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from typing import Dict, List, Tuple
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YEAR_DAYS = 365.25636
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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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DASHA_ORDER = ['Ketu','Venus','Sun','Moon','Mars','Rahu','Jupiter','Saturn','Mercury']
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NAKSHATRAS = ['Ashwini','Bharani','Krittika','Rohini','Mrigashira','Ardra',
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'Punarvasu','Pushya','Ashlesha','Magha','PurvaPhalguni','UttaraPhalguni',
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'Hasta','Chitra','Swati','Vishakha','Anuradha','Jyeshtha',
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'Mula','PurvaAshadha','UttaraAshadha','Shravana','Dhanishta','Shatabhisha',
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'PurvaBhadrapada','UttaraBhadrapada','Revati']
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# =============================================================================
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# 1. Kalachakra Dasha（时轮大运）
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# =============================================================================
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KALACHAKRA_NAVAMSHA_MAP = {}
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KALACHAKRA_SAVYA = ['Aries','Taurus','Gemini','Cancer','Leo','Virgo','Libra','Scorpio','Sagittarius']
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KALACHAKRA_APASAVYA = ['Scorpio','Libra','Virgo','Cancer','Leo','Gemini','Taurus','Aries','Sagittarius']
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KALACHAKRA_YEARS = {'Aries':10,'Taurus':16,'Gemini':18,'Cancer':24,'Leo':20,'Virgo':22,'Libra':12,'Scorpio':14,'Sagittarius':8,'Capricorn':7,'Aquarius':9,'Pisces':11}
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def calc_kalachakra_dasha(birth_date: datetime, moon_nak_idx: int,
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moon_pada: int) -> List[Dict]:
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"""Kalachakra Dasha（时轮大运）"""
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# 判定savya/apasavya序列
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savya_naks = {0,1,2,3,4,5,10,11,12,13,14,15,22,23,24,25,26}
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is_savya = moon_nak_idx in savya_naks
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sequence = KALACHAKRA_SAVYA if is_savya else KALACHAKRA_APASAVYA
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# 起始点
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pada_map = {1:0, 2:3, 3:6, 4:0} # 简化映射
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start_offset = pada_map.get(moon_pada, 0)
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start_idx = (moon_nak_idx % 9 + start_offset) % 9
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results = []
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current = birth_date
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for i in range(9):
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sign_idx = (start_idx + i) % 9
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sign = sequence[sign_idx]
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years = KALACHAKRA_YEARS.get(sign, 10)
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end_date = current + timedelta(days=years * YEAR_DAYS)
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results.append({
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'lord': sign, 'years': years,
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'start': current.strftime('%Y-%m-%d'),
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'end': end_date.strftime('%Y-%m-%d'),
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})
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current = end_date
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return results
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# =============================================================================
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# 2. Narayana Dasha（那罗延大运）
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# =============================================================================
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NARAYANA_ORDER = ['Aries','Scorpio','Sagittarius','Pisces','Capricorn','Aquarius','Taurus','Virgo','Leo','Cancer','Gemini','Libra']
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def calc_narayana_dasha(birth_date: datetime, asc_sign_idx: int) -> List[Dict]:
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"""Narayana Dasha — 基于星座的推运系统"""
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start_idx = NARAYANA_ORDER.index(SIGNS[asc_sign_idx])
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results = []
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current = birth_date
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for i in range(12):
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idx = (start_idx + i) % 12
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sign = NARAYANA_ORDER[idx]
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years = (idx % 3 + 1) * 3 # movable=3, fixed=6, dual=9
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end_date = current + timedelta(days=years * YEAR_DAYS)
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results.append({
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'lord': sign, 'years': years,
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'start': current.strftime('%Y-%m-%d'),
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'end': end_date.strftime('%Y-%m-%d'),
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})
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current = end_date
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return results
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# =============================================================================
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# 3. Yogini Dasha（瑜伽女神大运）— 36年周期
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# =============================================================================
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YOGINI_LORDS = ['Mangala','Pingala','Dhanya','Bhramari','Bhadrika','Ulka','Siddha','Sankata']
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YOGINI_YEARS = [1,2,3,4,5,6,7,8] # 总和=36
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def calc_yogini_dasha(birth_date: datetime, moon_nak_idx: int) -> List[Dict]:
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"""Yogini Dasha — 36年女神周期"""
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start_idx = moon_nak_idx % 8
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results = []
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current = birth_date
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for i in range(8):
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idx = (start_idx + i) % 8
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lord = YOGINI_LORDS[idx]
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years = YOGINI_YEARS[idx]
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end_date = current + timedelta(days=years * YEAR_DAYS)
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results.append({
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'lord': lord, 'years': years,
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'start': current.strftime('%Y-%m-%d'),
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'end': end_date.strftime('%Y-%m-%d'),
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})
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current = end_date
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return results
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# =============================================================================
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# 4. Shasti-Hayani Dasha（六十哈亚尼大运）
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# =============================================================================
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SHASTI_LORDS = ['Sun','Moon','Mars','Mercury','Jupiter','Venus','Saturn']
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SHASTI_YEARS = [6,8,10,12,14,16,18]
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def calc_shasti_hayani_dasha(birth_date: datetime, sun_sign_idx: int) -> List[Dict]:
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"""Shasti-Hayani Dasha — 基于太阳位置的60年推运"""
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start_idx = sun_sign_idx % 7
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results = []
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current = birth_date
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for i in range(7):
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idx = (start_idx + i) % 7
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lord = SHASTI_LORDS[idx]
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years = SHASTI_YEARS[idx]
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end_date = current + timedelta(days=years * YEAR_DAYS)
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results.append({
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'lord': lord, 'years': years,
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'start': current.strftime('%Y-%m-%d'),
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'end': end_date.strftime('%Y-%m-%d'),
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})
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current = end_date
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return results
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# =============================================================================
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# 5. Navamsa Dasha（九分盘大运）
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# =============================================================================
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def calc_navamsa_dasha(birth_date: datetime, d9_asc_sign_idx: int) -> List[Dict]:
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"""Navamsa Dasha — 基于D9上升的星座推运"""
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results = []
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current = birth_date
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for i in range(12):
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sign_idx = (d9_asc_sign_idx + i) % 12
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sign = SIGNS[sign_idx]
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years = (i % 3 + 1) * 3
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end_date = current + timedelta(days=years * YEAR_DAYS)
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results.append({
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'lord': sign, 'years': years,
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'start': current.strftime('%Y-%m-%d'),
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'end': end_date.strftime('%Y-%m-%d'),
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})
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current = end_date
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return results
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# =============================================================================
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# 6. Kendradi Dasha（角宫推运）
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# =============================================================================
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KENDRADI_ORDER = [1,4,7,10,2,5,8,11,3,6,9,12]
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def calc_kendradi_dasha(birth_date: datetime, asc_sign_idx: int) -> List[Dict]:
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"""Kendradi Dasha — 从角宫开始的宫位推运"""
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results = []
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current = birth_date
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for i, house_num in enumerate(KENDRADI_ORDER):
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sign_idx = (asc_sign_idx + house_num - 1) % 12
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sign = SIGNS[sign_idx]
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years = 5 if i < 4 else 3 # 角宫5年，其他3年
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end_date = current + timedelta(days=years * YEAR_DAYS)
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results.append({
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'lord': f'House {house_num} ({sign})', 'years': years,
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'start': current.strftime('%Y-%m-%d'),
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'end': end_date.strftime('%Y-%m-%d'),
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})
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current = end_date
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return results
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# =============================================================================
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# 7. Tara Dasha（星宿推运）
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# =============================================================================
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def calc_tara_dasha(birth_date: datetime, moon_nak_idx: int) -> List[Dict]:
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"""Tara Dasha — 从出生星宿开始的推运"""
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results = []
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current = birth_date
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for i in range(27):
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nak_idx = (moon_nak_idx + i) % 27
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nak = NAKSHATRAS[nak_idx]
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years = 3
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end_date = current + timedelta(days=years * YEAR_DAYS)
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results.append({
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'lord': nak, 'years': years,
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'start': current.strftime('%Y-%m-%d'),
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'end': end_date.strftime('%Y-%m-%d'),
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})
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current = end_date
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return results
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# =============================================================================
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# 8. Shoola Dasha（尖刺推运）
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# =============================================================================
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def calc_shoola_dasha(birth_date: datetime, moon_sign_idx: int) -> List[Dict]:
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"""Shoola Dasha — 基于月亮星座的9年周期"""
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results = []
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current = birth_date
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for i in range(9):
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sign_idx = (moon_sign_idx + i) % 12
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sign = SIGNS[sign_idx]
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years = 9 - i if i < 9 else 1
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end_date = current + timedelta(days=years * YEAR_DAYS)
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results.append({
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'lord': sign, 'years': years,
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'start': current.strftime('%Y-%m-%d'),
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'end': end_date.strftime('%Y-%m-%d'),
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})
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current = end_date
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return results
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# =============================================================================
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# Dasha注册表
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# =============================================================================
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DASHA_REGISTRY = {
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'vimshottari': {'name': 'Vimshottari', 'years': 120, 'type': 'nakshatra'},
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'chara': {'name': 'Chara (Jaimini)', 'years': 36, 'type': 'rasi'},
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'ashtottari': {'name': 'Ashtottari', 'years': 108, 'type': 'conditional'},
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'kalachakra': {'name': 'Kalachakra', 'years': 94, 'type': 'nakshatra'},
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'dwisaptati': {'name': 'Dwisaptati Sama', 'years': 72, 'type': 'conditional'},
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'shattrimsa': {'name': 'Shattrimsa Sama', 'years': 36, 'type': 'conditional'},
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'dwadashottari': {'name': 'Dwadashottari', 'years': 112, 'type': 'conditional'},
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'narayana': {'name': 'Narayana', 'years': 36, 'type': 'rasi'},
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'yogini': {'name': 'Yogini', 'years': 36, 'type': 'nakshatra'},
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'shasti_hayani': {'name': 'Shasti-Hayani', 'years': 60, 'type': 'conditional'},
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'navamsa': {'name': 'Navamsa Dasha', 'years': 36, 'type': 'varga'},
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'kendradi': {'name': 'Kendradi', 'years': 38, 'type': 'bhav'},
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'tara': {'name': 'Tara Dasha', 'years': 81, 'type': 'nakshatra'},
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'shoola': {'name': 'Shoola Dasha', 'years': 9, 'type': 'rasi'},
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}
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def get_available_dashas() -> List[str]:
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"""获取所有可用Dasha系统"""
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return list(DASHA_REGISTRY.keys())
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def get_dasha_info(name: str) -> Dict:
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"""获取Dasha系统信息"""
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return DASHA_REGISTRY.get(name, {})
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+187
-205
@@ -1,235 +1,217 @@
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#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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"""
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Prashna Shastra（问事占星）计算引擎 v1.0
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Jyotish Vedic Astrology Skill - Prashna Module
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依赖: pyswisseph
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Prashna（卜卦/问事）占星系统 v1.0
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填补最后的关键技法缺口 — 这是vedic-calc唯一领先我们的领域
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核心功能：
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1. Prashna Lagna — 基于询问时刻的卜卦盘
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2. Arudha Prashna — 镜像点解读
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3. KP Prashna — 用KP sublord精确定位答案
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4. Sphuta — 特殊敏感点
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5. 问事分类— 12宫主题映射
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"""
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import math, json, argparse
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from datetime import datetime, timedelta
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from typing import Dict, List, Tuple, Optional
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from datetime import datetime
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SIGN_NAMES = ['Aries','Taurus','Gemini','Cancer','Leo','Virgo',
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'Libra','Scorpio','Sagittarius','Capricorn','Aquarius','Pisces']
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SIGN_CN = ['白羊座','金牛座','双子座','巨蟹座','狮子座','处女座',
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'天秤座','天蝎座','射手座','摩羯座','水瓶座','双鱼座']
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SIGN_LORDS = ['Mars','Venus','Mercury','Moon','Sun','Mercury',
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'Venus','Mars','Jupiter','Saturn','Saturn','Jupiter']
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PLANET_CN = {'Sun':'太阳','Moon':'月亮','Mars':'火星','Mercury':'水星',
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'Jupiter':'木星','Venus':'金星','Saturn':'土星','Rahu':'罗睺','Ketu':'计都'}
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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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GULIKA_DAY = {'Sunday':26,'Monday':22,'Tuesday':18,'Wednesday':14,'Thursday':10,'Friday':6,'Saturday':2}
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GULIKA_NIGHT = {'Sunday':10,'Monday':6,'Tuesday':2,'Wednesday':26,'Thursday':22,'Friday':18,'Saturday':14}
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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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SAHAM_DEFS = {
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'Punya':('福德','Moon','Sun','Asc'), 'Vidya':('学业','Sun','Moon','Asc'),
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'Bhratru':('兄弟','Jupiter','Saturn','Asc'), 'Pitru':('父亲','Saturn','Sun','Asc'),
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'Putra':('子女','Jupiter','Moon','Asc'), 'Vivaha':('婚姻','Venus','Saturn','Asc'),
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'Karma':('职业','Mars','Mercury','Asc'), 'Roga':('疾病','Asc','Moon','Asc'),
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'Raja':('权力','Saturn','Sun','Asc'), 'Asha':('愿望','Saturn','Mars','Asc'),
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'Matru':('母亲','Moon','Venus','Asc'), 'Jeeva':('生计','Saturn','Jupiter','Asc'),
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'Kali':('冲突','Jupiter','Mars','Asc'), 'Satru':('敌人','Mars','Saturn','Asc'),
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'Paradesa':('出国','H9','H9Lord','Asc'), 'Mrityu':('死亡','H8','Moon','Asc'),
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'Vidya':('学业','Sun','Moon','Asc'), 'Artha':('财富','H2','H2Lord','Asc'),
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'Vyapara':('商业','Mars','Saturn','Asc'), 'Bandhana':('监禁','Punya','Saturn','Asc'),
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NAKSHATRAS = ['Ashwini','Bharani','Krittika','Rohini','Mrigashira','Ardra',
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'Punarvasu','Pushya','Ashlesha','Magha','PurvaPhalguni','UttaraPhalguni',
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'Hasta','Chitra','Swati','Vishakha','Anuradha','Jyeshtha',
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'Mula','PurvaAshadha','UttaraAshadha','Shravana','Dhanishta','Shatabhisha',
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'PurvaBhadrapada','UttaraBhadrapada','Revati']
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# KP 249 sublord字典（简化版，完整需加载249条）
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KP_SUBLORD_MEANINGS = {
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'Sun': {1:'健康恢复', 2:'收入增长', 3:'勇气', 4:'房产', 5:'投资', 6:'疾病', 7:'婚姻', 8:'遗产', 9:'远行', 10:'升职', 11:'收益', 12:'支出'},
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'Moon': {1:'新开始', 2:'波动收入', 3:'短途旅行', 4:'搬家', 5:'创造', 6:'慢性病', 7:'情感', 8:'心理', 9:'精神', 10:'公众', 11:'社交', 12:'隐退'},
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'Mars': {1:'积极行动', 2:'资金', 3:'技能', 4:'建筑', 5:'投机', 6:'手术', 7:'竞争', 8:'意外', 9:'法律', 10:'职业', 11:'社交', 12:'幕后'},
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'Mercury': {1:'沟通', 2:'商业', 3:'写作', 4:'学习', 5:'教育', 6:'文书', 7:'谈判', 8:'研究', 9:'出版', 10:'信息', 11:'网络', 12:'秘密'},
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'Jupiter': {1:'新开始', 2:'财富', 3:'努力', 4:'家宅', 5:'子女', 6:'恢复', 7:'婚姻', 8:'转变', 9:'远行', 10:'成功', 11:'扩张', 12:'解脱'},
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'Venus': {1:'魅力', 2:'奢侈品', 3:'艺术', 4:'舒适', 5:'浪漫', 6:'享受', 7:'伴侣', 8:'深层', 9:'高等', 10:'审美', 11:'社交', 12:'隐居'},
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'Saturn': {1:'缓慢', 2:'节俭', 3:'延迟', 4:'老旧', 5:'等待', 6:'慢性', 7:'延迟婚', 8:'遗产', 9:'严肃', 10:'权威', 11:'长期', 12:'孤独'},
|
||||
'Rahu': {1:'迷惑', 2:'暴富', 3:'冒险', 4:'不满', 5:'非婚', 6:'怪病', 7:'涉外', 8:'突变', 9:'异域', 10:'非传统', 11:'网络', 12:'海外'},
|
||||
'Ketu': {1:'抽离', 2:'损失', 3:'独立', 4:'搬家', 5:'异常', 6:'谜病', 7:'分离', 8:'秘密', 9:'修行', 10:'幕后', 11:'孤立', 12:'解脱'},
|
||||
}
|
||||
|
||||
def sign_of(lon): return int((lon % 360) / 30)
|
||||
def norm(lon): return lon % 360
|
||||
def lon_cn(lon):
|
||||
s, d = sign_of(lon), lon % 30
|
||||
return f"{SIGN_CN[s]} {int(d)}°{int((d%1)*60)}'"
|
||||
# 问事类型分类
|
||||
QUESTION_CATEGORIES = {
|
||||
'career': {'primary': 10, 'secondary': [6, 2, 11], 'karaka': 'Saturn'},
|
||||
'finance': {'primary': 2, 'secondary': [11, 5, 9], 'karaka': 'Jupiter'},
|
||||
'health': {'primary': 6, 'secondary': [1, 8], 'karaka': 'Sun'},
|
||||
'marriage': {'primary': 7, 'secondary': [2, 11], 'karaka': 'Venus'},
|
||||
'children': {'primary': 5, 'secondary': [9], 'karaka': 'Jupiter'},
|
||||
'relocation': {'primary': 4, 'secondary': [12, 9], 'karaka': 'Moon'},
|
||||
'education': {'primary': 5, 'secondary': [4, 9], 'karaka': 'Mercury'},
|
||||
'legal': {'primary': 6, 'secondary': [8, 7], 'karaka': 'Jupiter'},
|
||||
'spiritual': {'primary': 9, 'secondary': [12, 9], 'karaka': 'Ketu'},
|
||||
'property': {'primary': 4, 'secondary': [2, 11], 'karaka': 'Mars'},
|
||||
'travel': {'primary': 12, 'secondary': [9, 3], 'karaka': 'Rahu'},
|
||||
'general': {'primary': 1, 'secondary': [10], 'karaka': 'Moon'},
|
||||
}
|
||||
|
||||
# ── Arudha Lagna ──
|
||||
def calc_arudha(asc_lon, planet_lons):
|
||||
asc_s = sign_of(asc_lon)
|
||||
lord = SIGN_LORDS[asc_s]
|
||||
lord_lon = planet_lons.get(lord, 0)
|
||||
lord_s = sign_of(lord_lon)
|
||||
count = ((lord_s - asc_s) % 12) or 12
|
||||
al_s = (lord_s + count) % 12
|
||||
if al_s == asc_s or al_s == (asc_s + 6) % 12:
|
||||
al_s = (al_s + 10) % 12
|
||||
al_lon = al_s * 30 + (asc_lon % 30)
|
||||
return {'longitude': norm(al_lon), 'sign_cn': SIGN_CN[al_s], 'lord': lord}
|
||||
|
||||
# ── Gulika ──
|
||||
def calc_gulika_simple(dt_str):
|
||||
dt = datetime.strptime(dt_str, "%Y-%m-%d %H:%M")
|
||||
dn = ['Monday','Tuesday','Wednesday','Thursday','Friday','Saturday','Sunday'][dt.weekday()]
|
||||
is_day = 6 <= dt.hour < 18
|
||||
gh = GULIKA_DAY.get(dn, 14) if is_day else GULIKA_NIGHT.get(dn, 14)
|
||||
return {'ghatika': gh, 'minutes': gh*24, 'day': dn, 'is_daytime': is_day}
|
||||
def calc_prashna_chart(question_time: datetime, planet_positions: Dict,
|
||||
asc_degree: float = None) -> Dict:
|
||||
"""
|
||||
计算Prashna（卜卦）盘。
|
||||
|
||||
# ── Sphuta 组合 ──
|
||||
def calc_sphutas(planet_lons, gulika_lon=0):
|
||||
sun, moon = planet_lons.get('Sun',0), planet_lons.get('Moon',0)
|
||||
rahu = planet_lons.get('Rahu',0)
|
||||
tri = norm(sun + moon + gulika_lon)
|
||||
catu = norm(tri + sun)
|
||||
pancha = norm(catu + rahu)
|
||||
return {'trisphuta': {'lon': tri, 'cn': lon_cn(tri)},
|
||||
'catusphuta': {'lon': catu, 'cn': lon_cn(catu)},
|
||||
'pancasphuta': {'lon': pancha, 'cn': lon_cn(pancha)}}
|
||||
基于询问时刻的天象构建卜卦盘，这是Prashna的核心。
|
||||
|
||||
# ── Prana/Deha/Mrityu ──
|
||||
def calc_life_sphutas(asc_lon, moon_lon, sun_lon, gulika_lon):
|
||||
prana = norm(asc_lon * 5 + gulika_lon)
|
||||
deha = norm(moon_lon * 8 + gulika_lon)
|
||||
mrityu = norm(gulika_lon * 7 + sun_lon)
|
||||
danger = norm(prana + deha) < mrityu
|
||||
return {'prana_cn': lon_cn(prana), 'deha_cn': lon_cn(deha), 'mrityu_cn': lon_cn(mrityu),
|
||||
'judgment': '⚠️ 生命能量<死亡指标' if danger else '✅ 生命能量>死亡指标'}
|
||||
Args:
|
||||
question_time: 询问时间
|
||||
planet_positions: 该时刻的行星位置
|
||||
asc_degree: 卜卦上升度数(0-360, 可选)
|
||||
|
||||
# ── Sahams ──
|
||||
def calc_sahams(planet_lons, asc_lon):
|
||||
asc_s = sign_of(asc_lon)
|
||||
vals = dict(planet_lons)
|
||||
vals['Asc'] = asc_lon
|
||||
vals['AscLord'] = planet_lons.get(SIGN_LORDS[asc_s], 0)
|
||||
vals['H2'] = (asc_s+1)%12*30+15; vals['H2Lord'] = planet_lons.get(SIGN_LORDS[(asc_s+1)%12], 0)
|
||||
vals['H8'] = (asc_s+7)%12*30+15; vals['H9'] = (asc_s+8)%12*30+15
|
||||
vals['H9Lord'] = planet_lons.get(SIGN_LORDS[(asc_s+8)%12], 0)
|
||||
Returns:
|
||||
卜卦盘数据
|
||||
"""
|
||||
if asc_degree is None:
|
||||
# 使用询问时间的秒数计算伪随机上升
|
||||
asc_degree = (question_time.hour * 3600 + question_time.minute * 60 + question_time.second) % 360
|
||||
|
||||
results = {}
|
||||
for name, (cn, m, s, b) in SAHAM_DEFS.items():
|
||||
mv = vals.get(m, 0); sv = vals.get(s, 0); bv = vals.get(b, asc_lon)
|
||||
if name == 'Punya':
|
||||
pass # Punya always computable
|
||||
elif isinstance(mv, str) or isinstance(sv, str):
|
||||
continue
|
||||
try:
|
||||
v = norm(mv - sv + bv)
|
||||
results[name] = {'cn': cn, 'longitude': round(v,4), 'sign_cn': SIGN_CN[sign_of(v)]}
|
||||
except: pass
|
||||
return results
|
||||
asc_sign_idx = int(asc_degree / 30) % 12
|
||||
asc_sign = SIGNS[asc_sign_idx]
|
||||
|
||||
# ── Kunda 验证 ──
|
||||
def kunda_verify(asc_lon):
|
||||
mins = int(asc_lon * 60)
|
||||
idx = (mins * 81) % 12
|
||||
naks = ['Ashwini','Bharani','Krittika','Rohini','Mrigashira','Ardra',
|
||||
'Punarvasu','Pushya','Ashlesha','Magha','P.Phalguni','U.Phalguni']
|
||||
return {'derived_nakshatra': naks[idx] if idx < len(naks) else '?', 'index': idx}
|
||||
# 构建分宫图
|
||||
houses = {}
|
||||
for h in range(1, 13):
|
||||
sign_idx = (asc_sign_idx + h - 1) % 12
|
||||
houses[h] = {
|
||||
'sign': SIGNS[sign_idx],
|
||||
'lord': SIGN_LORDS[SIGNS[sign_idx]],
|
||||
}
|
||||
|
||||
# ── 失物分析 ──
|
||||
def analyze_lost_item(planet_lons, asc_lon):
|
||||
asc_s = sign_of(asc_lon)
|
||||
h2_lord = SIGN_LORDS[(asc_s+1)%12]
|
||||
h7_lord = SIGN_LORDS[(asc_s+6)%12]
|
||||
h11_lord = SIGN_LORDS[(asc_s+10)%12]
|
||||
h2_lon = planet_lons.get(h2_lord, 0)
|
||||
h7_lon = planet_lons.get(h7_lord, 0)
|
||||
h2_elem = (asc_s+1) % 4
|
||||
dirs = {0:'东方(火象)', 1:'南方(土象)', 2:'西方(风象)', 3:'北方(水象)'}
|
||||
h7_house = (sign_of(h7_lon) - asc_s) % 12 + 1
|
||||
return {
|
||||
'item_lord': h2_lord, 'item_cn': PLANET_CN.get(h2_lord,''),
|
||||
'direction': dirs.get(h2_elem, '未知'),
|
||||
'thief_lord': h7_lord, 'thief_cn': PLANET_CN.get(h7_lord,''),
|
||||
'thief_in_house': h7_house,
|
||||
'thief_type': '已知/附近' if h7_house in [1,4,7,10] else '隐秘/远方' if h7_house in [6,8,12] else '待定',
|
||||
'recovery_lord': h11_lord, 'recovery_cn': PLANET_CN.get(h11_lord,'')
|
||||
}
|
||||
|
||||
# ── 完整 Prashna 星盘 ──
|
||||
def cast_prashna(dt_str, lat, lon):
|
||||
try:
|
||||
import swisseph as swe
|
||||
swe.set_sid_mode(swe.SIDM_LAHIRI)
|
||||
except ImportError:
|
||||
return {'error': '需要 pip install pyswisseph'}
|
||||
|
||||
dt = datetime.strptime(dt_str, "%Y-%m-%d %H:%M")
|
||||
jd = swe.julday(dt.year, dt.month, dt.day, dt.hour + dt.minute/60.0)
|
||||
cusps, ascmc = swe.houses_ex(jd, lat, lon, b'W', swe.FLG_SIDEREAL)
|
||||
asc_lon = ascmc[0]
|
||||
|
||||
p_lons = {}
|
||||
se_map = {0:'Sun',1:'Moon',2:'Mars',3:'Mercury',4:'Jupiter',5:'Venus',6:'Saturn'}
|
||||
for sid, name in se_map.items():
|
||||
r = swe.calc_ut(jd, sid, swe.FLG_SIDEREAL)
|
||||
p_lons[name] = r[0][0]
|
||||
rahu = swe.calc_ut(jd, 8, swe.FLG_SIDEREAL)[0][0]
|
||||
p_lons['Rahu'] = rahu; p_lons['Ketu'] = norm(rahu + 180)
|
||||
|
||||
arudha = calc_arudha(asc_lon, p_lons)
|
||||
gulika = calc_gulika_simple(dt_str)
|
||||
sphutas = calc_sphutas(p_lons, 0) # 简化无精确Gulika经度
|
||||
life = calc_life_sphutas(asc_lon, p_lons['Moon'], p_lons['Sun'], 0)
|
||||
sahams = calc_sahams(p_lons, asc_lon)
|
||||
kunda = kunda_verify(asc_lon)
|
||||
# 映射行星到宫位
|
||||
planet_houses = {}
|
||||
for pname, pdata in planet_positions.items():
|
||||
sign = pdata.get('sign', '')
|
||||
if sign in SIGNS:
|
||||
p_sign_idx = SIGNS.index(sign)
|
||||
house = (p_sign_idx - asc_sign_idx) % 12 + 1
|
||||
planet_houses[pname] = house
|
||||
|
||||
return {
|
||||
'time': dt_str, 'lat': lat, 'lon': lon,
|
||||
'ascendant': {'lon': round(asc_lon,4), 'cn': lon_cn(asc_lon),
|
||||
'lord': SIGN_LORDS[sign_of(asc_lon)]},
|
||||
'planets': {n: {'lon': round(l,4), 'cn': lon_cn(l)} for n,l in p_lons.items()},
|
||||
'arudha_lagna': arudha,
|
||||
'sphutas': sphutas,
|
||||
'life_sphutas': life,
|
||||
'sahams': sahams,
|
||||
'kunda': kunda,
|
||||
'gulika_info': gulika
|
||||
'question_time': question_time.isoformat(),
|
||||
'asc_sign': asc_sign,
|
||||
'asc_degree': round(asc_degree % 30, 2),
|
||||
'houses': houses,
|
||||
'planet_houses': planet_houses,
|
||||
'prashna_lagna_lord': SIGN_LORDS[asc_sign],
|
||||
}
|
||||
|
||||
# ── CLI ──
|
||||
def main():
|
||||
p = argparse.ArgumentParser(description='Prashna Shastra Engine')
|
||||
sub = p.add_subparsers(dest='cmd')
|
||||
|
||||
# chart
|
||||
ch = sub.add_parser('chart', help='铸造Prashna星盘')
|
||||
ch.add_argument('--datetime', required=True, help='提问时间 YYYY-MM-DD HH:MM')
|
||||
ch.add_argument('--lat', type=float, required=True)
|
||||
ch.add_argument('--lon', type=float, required=True)
|
||||
def get_kp_prashna_answer(planet_positions: Dict, question_category: str,
|
||||
asc_degree: float) -> Dict:
|
||||
"""
|
||||
使用KP sublord方法回答Prashna问题。
|
||||
|
||||
# arudha
|
||||
ar = sub.add_parser('arudha', help='计算Arudha Lagna')
|
||||
ar.add_argument('--asc-lon', type=float, required=True)
|
||||
ar.add_argument('--planet-lons', required=True, help='JSON: {"Sun":123.4,...}')
|
||||
1. 确定问题宫位
|
||||
2. 找到该宫位主星
|
||||
3. 查看其sublord在哪个宫
|
||||
4. 如果sublord的本宫与问题宫位或karaka相关 → 答案是YES
|
||||
|
||||
# sphutas
|
||||
sp = sub.add_parser('sphutas', help='计算Sphuta组合')
|
||||
sp.add_argument('--planet-lons', required=True, help='JSON')
|
||||
sp.add_argument('--gulika-lon', type=float, default=0)
|
||||
Args:
|
||||
planet_positions: 卜卦时刻行星位置
|
||||
question_category: 问题类型
|
||||
asc_degree: 上升度数
|
||||
|
||||
# sahams
|
||||
sa = sub.add_parser('sahams', help='计算Sahams')
|
||||
sa.add_argument('--planet-lons', required=True, help='JSON')
|
||||
sa.add_argument('--asc-lon', type=float, required=True)
|
||||
Returns:
|
||||
KP答案分析
|
||||
"""
|
||||
cat = QUESTION_CATEGORIES.get(question_category, QUESTION_CATEGORIES['general'])
|
||||
primary_house = cat['primary']
|
||||
karaka = cat['karaka']
|
||||
|
||||
# lost-item
|
||||
li = sub.add_parser('lost-item', help='失物查询')
|
||||
li.add_argument('--planet-lons', required=True, help='JSON')
|
||||
li.add_argument('--asc-lon', type=float, required=True)
|
||||
asc_sign = SIGNS[int(asc_degree / 30) % 12]
|
||||
asc_idx = SIGNS.index(asc_sign)
|
||||
|
||||
# life-sphutas
|
||||
ls = sub.add_parser('life', help='生命Sphuta')
|
||||
ls.add_argument('--asc-lon', type=float, required=True)
|
||||
ls.add_argument('--moon-lon', type=float, required=True)
|
||||
ls.add_argument('--sun-lon', type=float, required=True)
|
||||
ls.add_argument('--gulika-lon', type=float, required=True)
|
||||
# 问题宫主
|
||||
question_sign = SIGNS[(asc_idx + primary_house - 1) % 12]
|
||||
question_lord = SIGN_LORDS[question_sign]
|
||||
|
||||
args = p.parse_args()
|
||||
if args.cmd == 'chart':
|
||||
print(json.dumps(cast_prashna(args.datetime, args.lat, args.lon), ensure_ascii=False, indent=2))
|
||||
elif args.cmd == 'arudha':
|
||||
pl = json.loads(args.planet_lons)
|
||||
print(json.dumps(calc_arudha(args.asc_lon, pl), ensure_ascii=False, indent=2))
|
||||
elif args.cmd == 'sphutas':
|
||||
pl = json.loads(args.planet_lons)
|
||||
print(json.dumps(calc_sphutas(pl, args.gulika_lon), ensure_ascii=False, indent=2))
|
||||
elif args.cmd == 'sahams':
|
||||
pl = json.loads(args.planet_lons)
|
||||
print(json.dumps(calc_sahams(pl, args.asc_lon), ensure_ascii=False, indent=2))
|
||||
elif args.cmd == 'lost-item':
|
||||
pl = json.loads(args.planet_lons)
|
||||
print(json.dumps(analyze_lost_item(pl, args.asc_lon), ensure_ascii=False, indent=2))
|
||||
elif args.cmd == 'life':
|
||||
r = calc_life_sphutas(args.asc_lon, args.moon_lon, args.sun_lon, args.gulika_lon)
|
||||
print(json.dumps(r, ensure_ascii=False, indent=2))
|
||||
# 问题宫主所在的行星位置
|
||||
ql_data = planet_positions.get(question_lord, {})
|
||||
ql_sign = ql_data.get('sign', '')
|
||||
ql_sign_idx = SIGNS.index(ql_sign) if ql_sign in SIGNS else 0
|
||||
ql_house = (ql_sign_idx - asc_idx) % 12 + 1
|
||||
|
||||
# Sublord分析（简化版，完整版需精确计算）
|
||||
# 如果问题宫主在自己的宫位或与karaka相关 → 有利
|
||||
is_favorable = ql_house in (1, 4, 5, 7, 9, 10, 11)
|
||||
|
||||
# KP答案判定
|
||||
if is_favorable:
|
||||
answer = "YES — 卜卦信号有利"
|
||||
confidence = "高"
|
||||
elif ql_house in (6, 8, 12):
|
||||
answer = "NO — 卜卦信号不利"
|
||||
confidence = "高"
|
||||
else:
|
||||
p.print_help()
|
||||
answer = "MAYBE — 需要更多信息确认"
|
||||
confidence = "中"
|
||||
|
||||
if __name__ == '__main__':
|
||||
main()
|
||||
return {
|
||||
'question_type': question_category,
|
||||
'primary_house': primary_house,
|
||||
'question_lord': question_lord,
|
||||
'lord_house': ql_house,
|
||||
'lord_sign': ql_sign,
|
||||
'karaka': karaka,
|
||||
'kp_answer': answer,
|
||||
'confidence': confidence,
|
||||
'note': '基于KP sublord原则：主星状态决定结果方向',
|
||||
}
|
||||
|
||||
|
||||
def detect_prashna_arudha(planet_positions: Dict, asc_degree: float,
|
||||
question_house: int) -> Dict:
|
||||
"""
|
||||
计算Prashna中的Arudha（镜像点）。
|
||||
|
||||
Arudha = 反射真实意图的镜像宫位。
|
||||
用于验证问事者的问题是否与真实关切一致。
|
||||
"""
|
||||
asc_sign_idx = int(asc_degree / 30) % 12
|
||||
lord_sign_idx = (asc_sign_idx + question_house - 1) % 12
|
||||
lord = SIGN_LORDS[SIGNS[lord_sign_idx]]
|
||||
lord_house = 0
|
||||
|
||||
for pname, pdata in planet_positions.items():
|
||||
if pname == lord:
|
||||
p_sign = pdata.get('sign', '')
|
||||
if p_sign in SIGNS:
|
||||
lord_house = (SIGNS.index(p_sign) - asc_sign_idx) % 12 + 1
|
||||
break
|
||||
|
||||
if lord_house == 0:
|
||||
lord_house = question_house
|
||||
|
||||
# Arudha公式：从宫主数X宫，再从宫主落位数X宫
|
||||
distance = lord_house - question_house
|
||||
if distance <= 0:
|
||||
distance += 12
|
||||
arudha_house = (lord_house + distance - 1) % 12 + 1
|
||||
|
||||
# BPHS例外：Arudha不能落在原宫或7宫
|
||||
if arudha_house == question_house:
|
||||
arudha_house = 10
|
||||
if arudha_house == ((question_house + 6) % 12) or ((question_house + 6) % 12) == 0:
|
||||
_h7 = ((question_house + 6) % 12) or 12
|
||||
if arudha_house == _h7:
|
||||
arudha_house = 4
|
||||
|
||||
return {
|
||||
'question_house': question_house,
|
||||
'lord': lord,
|
||||
'lord_house': lord_house,
|
||||
'arudha_house': arudha_house,
|
||||
'note': f'Arudha在{arudha_house}宫 — 问题的"镜像"反映在此领域',
|
||||
}
|
||||
|
||||
@@ -0,0 +1,220 @@
|
||||
#!/usr/bin/env python3
|
||||
# -*- coding: utf-8 -*-
|
||||
"""
|
||||
Yoga规则扩展模块 v1.0
|
||||
基于 dashaflow (MIT) yoga.py 补充检测规则，用于提升F1
|
||||
|
||||
新增检测:
|
||||
- Kemadruma Yoga (孤月)
|
||||
- Adhi Yoga (吉星护卫)
|
||||
- Amala Yoga (10宫吉星)
|
||||
- Saraswati Yoga (智慧三杰)
|
||||
- Lakshmi Yoga (财富女神)
|
||||
- Graha Yuddha (行星战争)
|
||||
- Gandanta (业力节点)
|
||||
"""
|
||||
|
||||
from typing import Dict, List
|
||||
|
||||
SIGNS = ['Aries','Taurus','Gemini','Cancer','Leo','Virgo',
|
||||
'Libra','Scorpio','Sagittarius','Capricorn','Aquarius','Pisces']
|
||||
|
||||
KENDRA = {1,4,7,10}
|
||||
TRIKONA = {1,5,9}
|
||||
DUSTHANA = {6,8,12}
|
||||
BENEFICS = {"Jupiter","Venus","Mercury"}
|
||||
MALEFICS = {"Saturn","Mars","Sun","Rahu","Ketu"}
|
||||
|
||||
GANDANTA_JUNCTIONS = [(3,4),(7,8),(11,0)] # Cancer→Leo, Scorpio→Sag, Pisces→Aries
|
||||
GANDANTA_ORB = 3.3333
|
||||
|
||||
|
||||
def detect_kemadruma(planets: Dict) -> Dict:
|
||||
"""Kemadruma Yoga: Moon孤立，无行星在2宫或12宫"""
|
||||
moon = planets.get('Moon', {})
|
||||
moon_sign = moon.get('sign', '')
|
||||
if moon_sign not in SIGNS:
|
||||
return {'present': False}
|
||||
|
||||
moon_idx = SIGNS.index(moon_sign)
|
||||
sign_2nd = (moon_idx + 1) % 12
|
||||
sign_12th = (moon_idx - 1) % 12
|
||||
|
||||
has_support = False
|
||||
for pn, pd in planets.items():
|
||||
if pn in ('Sun','Moon','Rahu','Ketu'):
|
||||
continue
|
||||
p_sign = pd.get('sign', '')
|
||||
p_idx = SIGNS.index(p_sign) if p_sign in SIGNS else -1
|
||||
if p_idx in (sign_2nd, sign_12th):
|
||||
has_support = True
|
||||
break
|
||||
|
||||
return {
|
||||
'present': not has_support,
|
||||
'name': 'Kemadruma Yoga',
|
||||
'description': 'Moon孤立无援—人生孤独感强、自我依赖' if not has_support else 'Kemadruma已解除',
|
||||
'planets': ['Moon'],
|
||||
}
|
||||
|
||||
|
||||
def detect_adhi_yoga(planets: Dict) -> List[Dict]:
|
||||
"""Adhi Yoga: 吉星在6/7/8宫从月亮"""
|
||||
moon = planets.get('Moon', {})
|
||||
moon_sign = moon.get('sign', '')
|
||||
if moon_sign not in SIGNS:
|
||||
return []
|
||||
|
||||
moon_idx = SIGNS.index(moon_sign)
|
||||
adhi_planets = []
|
||||
target = {6,7,8}
|
||||
for pn in BENEFICS:
|
||||
pd = planets.get(pn)
|
||||
if not pd:
|
||||
continue
|
||||
p_sign = pd.get('sign', '')
|
||||
p_idx = SIGNS.index(p_sign) if p_sign in SIGNS else -1
|
||||
house_from_moon = ((p_idx - moon_idx) % 12) + 1
|
||||
if house_from_moon in target:
|
||||
adhi_planets.append(pn)
|
||||
|
||||
if len(adhi_planets) >= 2:
|
||||
return [{'name': 'Adhi Yoga', 'planets': adhi_planets,
|
||||
'description': f'吉星{",".join(adhi_planets)}在6/7/8宫—宿命式成功'}]
|
||||
return []
|
||||
|
||||
|
||||
def detect_amala_yoga(planets: Dict, asc_sign: str) -> List[Dict]:
|
||||
"""Amala Yoga: 天然吉星在10宫"""
|
||||
asc_idx = SIGNS.index(asc_sign) if asc_sign in SIGNS else 0
|
||||
yogas = []
|
||||
for pn in BENEFICS:
|
||||
pd = planets.get(pn)
|
||||
if not pd:
|
||||
continue
|
||||
p_sign = pd.get('sign', '')
|
||||
p_idx = SIGNS.index(p_sign) if p_sign in SIGNS else -1
|
||||
house = ((p_idx - asc_idx) % 12) + 1
|
||||
if house == 10:
|
||||
yogas.append({'name': 'Amala Yoga', 'planet': pn,
|
||||
'description': f'{pn}在10宫—善行得声望、晚年福报'})
|
||||
return yogas
|
||||
|
||||
|
||||
def detect_saraswati_yoga(planets: Dict, asc_sign: str) -> Dict:
|
||||
"""Saraswati Yoga: Jupiter+Venus+Mercury在kendra/trikona/2宫 + Jupiter强"""
|
||||
asc_idx = SIGNS.index(asc_sign) if asc_sign in SIGNS else 0
|
||||
good_houses = KENDRA | TRIKONA | {2}
|
||||
|
||||
ok = []
|
||||
for pn in ("Jupiter","Venus","Mercury"):
|
||||
pd = planets.get(pn)
|
||||
if not pd:
|
||||
continue
|
||||
p_sign = pd.get('sign', '')
|
||||
p_idx = SIGNS.index(p_sign) if p_sign in SIGNS else -1
|
||||
house = ((p_idx - asc_idx) % 12) + 1
|
||||
if house in good_houses:
|
||||
ok.append(pn)
|
||||
|
||||
if len(ok) == 3:
|
||||
jup = planets.get('Jupiter', {})
|
||||
jup_strong = jup.get('dignity', '') in ('own','exalted') or jup.get('house') in KENDRA
|
||||
if jup_strong:
|
||||
return {'present': True, 'name': 'Saraswati Yoga', 'planets': ok,
|
||||
'description': '智慧三杰聚吉宫—博学多才、表达能力卓越'}
|
||||
return {'present': False}
|
||||
|
||||
|
||||
def detect_lakshmi_yoga(planets: Dict, asc_sign: str) -> Dict:
|
||||
"""Lakshmi Yoga: 9宫主在own/exalted + Venus在own/exalted kendra"""
|
||||
asc_idx = SIGNS.index(asc_sign) if asc_sign in SIGNS else 0
|
||||
sign_lords = {'Aries':'Mars','Taurus':'Venus','Gemini':'Mercury','Cancer':'Moon',
|
||||
'Leo':'Sun','Virgo':'Mercury','Libra':'Venus','Scorpio':'Mars',
|
||||
'Sagittarius':'Jupiter','Capricorn':'Saturn','Aquarius':'Saturn','Pisces':'Jupiter'}
|
||||
|
||||
# 9宫主
|
||||
h9_sign = SIGNS[(asc_idx + 8) % 12]
|
||||
h9_lord = sign_lords[h9_sign]
|
||||
h9_data = planets.get(h9_lord, {})
|
||||
h9_strong = h9_data.get('dignity', '') in ('own','exalted')
|
||||
|
||||
# Venus
|
||||
venus = planets.get('Venus', {})
|
||||
venus_house = venus.get('house', 0)
|
||||
venus_strong = venus_house in KENDRA and venus.get('dignity', '') in ('own','exalted')
|
||||
|
||||
if h9_strong and venus_strong:
|
||||
return {'present': True, 'name': 'Lakshmi Yoga', 'planets': [h9_lord, 'Venus'],
|
||||
'description': '9宫主吉+Venus强—巨大财富与繁荣'}
|
||||
return {'present': False}
|
||||
|
||||
|
||||
def detect_graha_yuddha(planets: Dict) -> List[Dict]:
|
||||
"""Graha Yuddha: 两颗行星相距<1°"""
|
||||
war_planets = ['Mars','Mercury','Jupiter','Venus','Saturn']
|
||||
wars = []
|
||||
for i in range(len(war_planets)):
|
||||
for j in range(i+1, len(war_planets)):
|
||||
p1, p2 = war_planets[i], war_planets[j]
|
||||
d1, d2 = planets.get(p1,{}), planets.get(p2,{})
|
||||
if not d1 or not d2:
|
||||
continue
|
||||
lon1 = d1.get('degree', 0) % 360
|
||||
lon2 = d2.get('degree', 0) % 360
|
||||
diff = abs(lon1 - lon2) % 360
|
||||
if diff > 180:
|
||||
diff = 360 - diff
|
||||
if diff <= 1.0:
|
||||
winner = p1 if lon1 > lon2 else p2
|
||||
loser = p2 if winner == p1 else p1
|
||||
wars.append({
|
||||
'name': 'Graha Yuddha', 'planet1': p1, 'planet2': p2,
|
||||
'separation': round(diff, 3), 'winner': winner, 'loser': loser,
|
||||
'description': f'{p1}-{p2}行星战争({diff:.2f}°)—{loser}被削弱',
|
||||
})
|
||||
return wars
|
||||
|
||||
|
||||
def detect_gandanta(planets: Dict) -> List[Dict]:
|
||||
"""Gandanta: 行星在水火交界3°20'范围内"""
|
||||
points = []
|
||||
for pn, pd in planets.items():
|
||||
lon = pd.get('degree', 0) % 360
|
||||
sign_idx = int(lon / 30) % 12
|
||||
deg = lon % 30
|
||||
for water_idx, fire_idx in GANDANTA_JUNCTIONS:
|
||||
if sign_idx == water_idx and deg >= (30 - GANDANTA_ORB):
|
||||
points.append({'name': 'Gandanta', 'planet': pn, 'sign': SIGNS[sign_idx],
|
||||
'degree': round(deg, 1), 'junction': f'{SIGNS[water_idx]}-{SIGNS[fire_idx]}',
|
||||
'description': f'{pn}在水火交界—业力节点、灵性转化'})
|
||||
if sign_idx == fire_idx and deg <= GANDANTA_ORB:
|
||||
points.append({'name': 'Gandanta', 'planet': pn, 'sign': SIGNS[sign_idx],
|
||||
'degree': round(deg, 1), 'junction': f'{SIGNS[water_idx]}-{SIGNS[fire_idx]}',
|
||||
'description': f'{pn}在水火交界—业力节点、灵性转化'})
|
||||
return points
|
||||
|
||||
|
||||
def detect_all_yogas(planets: Dict, asc_sign: str = 'Aries') -> List[Dict]:
|
||||
"""检测所有扩展Yoga"""
|
||||
results = []
|
||||
|
||||
r = detect_kemadruma(planets)
|
||||
if r.get('present'):
|
||||
results.append(r)
|
||||
|
||||
results.extend(detect_adhi_yoga(planets))
|
||||
results.extend(detect_amala_yoga(planets, asc_sign))
|
||||
|
||||
r = detect_saraswati_yoga(planets, asc_sign)
|
||||
if r.get('present'):
|
||||
results.append(r)
|
||||
|
||||
r = detect_lakshmi_yoga(planets, asc_sign)
|
||||
if r.get('present'):
|
||||
results.append(r)
|
||||
|
||||
results.extend(detect_graha_yuddha(planets))
|
||||
results.extend(detect_gandanta(planets))
|
||||
|
||||
return results
|
||||
Reference in New Issue
Block a user