Jesse_Chen
f224146348
Three-way-merge calculation modules and pl9-export into the product fork while keeping commercial API routes, Raman ayanamsa, and the consultation contract as a keypath superset. Co-authored-by: Cursor <cursoragent@cursor.com>
524 lines
19 KiB
Python
524 lines
19 KiB
Python
#!/usr/bin/env python3
|
|
# -*- coding: utf-8 -*-
|
|
"""
|
|
ashtottari_dasha.py — Ashtottari Dasha System (108-Year Cycle)
|
|
|
|
Reference: Brihat Parashara Hora Shastra (BPHS), Chapter 19
|
|
|
|
Ashtottari Dasha is a conditional dasha system with a total cycle of 108 years.
|
|
It is applicable only when the Moon is in specific Nakshatras:
|
|
|
|
- Krishna Paksha (waning Moon): Rohini, Ardra, Pushya, Ashlesha, Magha, Revati
|
|
- Shukla Paksha (waxing Moon): Ashwini, Mrigashira, Punarvasu, Chitra, Shravana, Dhanishta
|
|
|
|
The 8 planetary lords and their year allotments:
|
|
1. Sun — 6 years
|
|
2. Moon — 15 years
|
|
3. Mars — 8 years
|
|
4. Mercury — 17 years
|
|
5. Saturn — 10 years
|
|
6. Jupiter — 19 years
|
|
7. Rahu — 12 years
|
|
8. Venus — 21 years
|
|
|
|
Total: 6 + 15 + 8 + 17 + 10 + 19 + 12 + 21 = 108 years.
|
|
|
|
The dasha sequence always runs: Sun → Moon → Mars → Mercury → Saturn → Jupiter → Rahu → Venus.
|
|
The starting lord is determined by the Moon's Nakshatra at birth.
|
|
"""
|
|
|
|
from datetime import datetime, timedelta
|
|
from ashtottari_rule_profiles import (
|
|
RULE_FAMILY_MOON_NAKSHATRA_PLUS_PAKSHA,
|
|
RULE_FAMILY_RAHU_FROM_LAGNA_LORD,
|
|
SHUKLA_PAKSHA_NAKSHATRAS,
|
|
KRISHNA_PAKSHA_NAKSHATRAS,
|
|
evaluate_moon_nakshatra_plus_paksha_rule,
|
|
evaluate_rahu_from_lagna_lord_rule,
|
|
)
|
|
|
|
# ---------------------------------------------------------------------------
|
|
# Constants
|
|
# ---------------------------------------------------------------------------
|
|
|
|
# Nakshatra indices (0-based): Ashwini=0, Bharani=1, ..., Revati=26
|
|
NAKSHATRAS = [
|
|
"Ashwini", "Bharani", "Krittika", "Rohini", "Mrigashira", "Ardra",
|
|
"Punarvasu", "Pushya", "Ashlesha", "Magha", "Purva Phalguni",
|
|
"Uttara Phalguni", "Hasta", "Chitra", "Swati", "Vishakha",
|
|
"Anuradha", "Jyeshtha", "Mula", "Purva Ashadha", "Uttara Ashadha",
|
|
"Shravana", "Dhanishta", "Shatabhisha", "Purva Bhadrapada",
|
|
"Uttara Bhadrapada", "Revati"
|
|
]
|
|
|
|
# Candidate 28-nakshatra cycle used by the PL9 sample-admitted path.
|
|
# This preserves the sample's Mula -> Mercury balance note while leaving the
|
|
# legacy Moon-whitelist rule available for research comparison.
|
|
_CANDIDATE_NAKSHATRA_STARTING_LORDS = {
|
|
"Ardra": "Sun",
|
|
"Punarvasu": "Sun",
|
|
"Pushya": "Sun",
|
|
"Ashlesha": "Sun",
|
|
"Magha": "Moon",
|
|
"Purva Phalguni": "Moon",
|
|
"Uttara Phalguni": "Moon",
|
|
"Hasta": "Mars",
|
|
"Chitra": "Mars",
|
|
"Swati": "Mars",
|
|
"Vishakha": "Mars",
|
|
"Anuradha": "Mercury",
|
|
"Jyeshtha": "Mercury",
|
|
"Mula": "Mercury",
|
|
"Purva Ashadha": "Saturn",
|
|
"Uttara Ashadha": "Saturn",
|
|
"Shravana": "Saturn",
|
|
"Dhanishta": "Jupiter",
|
|
"Shatabhisha": "Jupiter",
|
|
"Purva Bhadrapada": "Jupiter",
|
|
"Uttara Bhadrapada": "Rahu",
|
|
"Revati": "Rahu",
|
|
"Ashwini": "Rahu",
|
|
"Bharani": "Rahu",
|
|
"Krittika": "Venus",
|
|
"Rohini": "Venus",
|
|
"Mrigashira": "Venus",
|
|
}
|
|
|
|
# Ashtottari planetary sequence and year allotments (BPHS Ch.19)
|
|
DASHA_SEQUENCE = [
|
|
{"planet": "Sun", "years": 6},
|
|
{"planet": "Moon", "years": 15},
|
|
{"planet": "Mars", "years": 8},
|
|
{"planet": "Mercury", "years": 17},
|
|
{"planet": "Saturn", "years": 10},
|
|
{"planet": "Jupiter", "years": 19},
|
|
{"planet": "Rahu", "years": 12},
|
|
{"planet": "Venus", "years": 21},
|
|
]
|
|
|
|
TOTAL_CYCLE = 108 # years
|
|
|
|
_PLANET_ABBR = {
|
|
"Sun": "Su",
|
|
"Moon": "Mo",
|
|
"Mars": "Ma",
|
|
"Mercury": "Me",
|
|
"Saturn": "Sa",
|
|
"Jupiter": "Ju",
|
|
"Rahu": "Ra",
|
|
"Venus": "Ve",
|
|
}
|
|
|
|
# Mapping from starting Nakshatra index to first dasha lord index in DASHA_SEQUENCE
|
|
# Per BPHS Ch.19:
|
|
# - Rohini (3), Ardra (5), Pushya (7), Ashlesha (8), Magha (9), Revati (26)
|
|
# → start from Sun (0)
|
|
# - Ashwini (0), Mrigashira (4), Punarvasu (6)
|
|
# → start from Mars (2)
|
|
# - Chitra (13), Shravana (20), Dhanishta (22)
|
|
# → start from Jupiter (5)
|
|
STARTING_LORD_MAP = {
|
|
3: 0, # Rohini -> Sun
|
|
5: 0, # Ardra -> Sun
|
|
7: 0, # Pushya -> Sun
|
|
8: 0, # Ashlesha -> Sun
|
|
9: 0, # Magha -> Sun
|
|
26: 0, # Revati -> Sun
|
|
0: 2, # Ashwini -> Mars
|
|
4: 2, # Mrigashira -> Mars
|
|
6: 2, # Punarvasu -> Mars
|
|
13: 5, # Chitra -> Jupiter
|
|
20: 5, # Shravana -> Jupiter
|
|
22: 5, # Dhanishta -> Jupiter
|
|
}
|
|
|
|
# ---------------------------------------------------------------------------
|
|
# Core Functions
|
|
# ---------------------------------------------------------------------------
|
|
|
|
def is_ashtottari_applicable(moon_nakshatra_index: int, is_shukla_paksha: bool) -> bool:
|
|
"""
|
|
Check whether Ashtottari Dasha is applicable for the given birth conditions.
|
|
|
|
Args:
|
|
moon_nakshatra_index: 0-based index of Moon's Nakshatra (0 = Ashwini).
|
|
is_shukla_paksha: True if birth is in Shukla Paksha (waxing Moon), else False.
|
|
|
|
Returns:
|
|
bool: True if Ashtottari Dasha applies.
|
|
"""
|
|
applicable, _ = evaluate_moon_nakshatra_plus_paksha_rule(moon_nakshatra_index, is_shukla_paksha)
|
|
return applicable
|
|
|
|
|
|
def _moon_nakshatra_name(moon_nakshatra_index: int) -> str:
|
|
if moon_nakshatra_index is None:
|
|
return "unknown"
|
|
try:
|
|
return NAKSHATRAS[moon_nakshatra_index]
|
|
except Exception:
|
|
return "unknown"
|
|
|
|
|
|
def _candidate_nakshatra_starting_lord(moon_nakshatra_index: int) -> str:
|
|
return _CANDIDATE_NAKSHATRA_STARTING_LORDS.get(_moon_nakshatra_name(moon_nakshatra_index), "Sun")
|
|
|
|
|
|
def _candidate_lord_nakshatra_span(starting_planet: str) -> tuple[int, int] | tuple[None, None]:
|
|
matching = [
|
|
idx for idx, name in enumerate(NAKSHATRAS)
|
|
if _CANDIDATE_NAKSHATRA_STARTING_LORDS.get(name) == starting_planet
|
|
]
|
|
if not matching:
|
|
return None, None
|
|
return matching[0], matching[-1]
|
|
|
|
|
|
def _years_to_balance_parts(years: float) -> dict:
|
|
total_days = max(years, 0.0) * 365.256364
|
|
whole_years = int(total_days // 365.256364)
|
|
remaining_days = total_days - whole_years * 365.256364
|
|
whole_months = int(remaining_days // 30.0)
|
|
residual_days = remaining_days - whole_months * 30.0
|
|
day_count = int(round(residual_days))
|
|
if residual_days > 0:
|
|
day_count += 1
|
|
if day_count >= 30:
|
|
whole_months += day_count // 30
|
|
day_count = day_count % 30
|
|
if whole_months >= 12:
|
|
whole_years += whole_months // 12
|
|
whole_months = whole_months % 12
|
|
return {
|
|
"years": years,
|
|
"years_whole": whole_years,
|
|
"months_whole": whole_months,
|
|
"days_whole": day_count,
|
|
}
|
|
|
|
|
|
def _years_to_balance_parts_360(years: float) -> dict:
|
|
total_days = max(years, 0.0) * 360.0
|
|
whole_years = int(total_days // 360.0)
|
|
remaining_days = total_days - whole_years * 360.0
|
|
whole_months = int(remaining_days // 30.0)
|
|
residual_days = remaining_days - whole_months * 30.0
|
|
day_count = int(round(residual_days))
|
|
if residual_days > 0:
|
|
day_count += 1
|
|
if day_count >= 30:
|
|
whole_months += day_count // 30
|
|
day_count = day_count % 30
|
|
if whole_months >= 12:
|
|
whole_years += whole_months // 12
|
|
whole_months = whole_months % 12
|
|
return {
|
|
"years": years,
|
|
"years_whole": whole_years,
|
|
"months_whole": whole_months,
|
|
"days_whole": day_count,
|
|
}
|
|
|
|
|
|
def _calc_candidate_balance_and_birth_chain(moon_longitude: float, starting_planet: str) -> tuple[dict | None, dict | None]:
|
|
start_nak_idx, end_nak_idx = _candidate_lord_nakshatra_span(starting_planet)
|
|
if start_nak_idx is None or end_nak_idx is None:
|
|
return None, None
|
|
|
|
one_star = 360.0 / 27.0
|
|
segment_start = start_nak_idx * one_star
|
|
segment_end = (end_nak_idx + 1) * one_star
|
|
longitude = float(moon_longitude) % 360.0
|
|
if not (segment_start <= longitude <= segment_end):
|
|
return None, None
|
|
|
|
span = segment_end - segment_start
|
|
elapsed = longitude - segment_start
|
|
remaining_ratio = max(0.0, min(1.0, (segment_end - longitude) / span))
|
|
md_years = next(lord["years"] for lord in DASHA_SEQUENCE if lord["planet"] == starting_planet)
|
|
remaining_years = md_years * remaining_ratio
|
|
|
|
def _sequence_from(lord: str) -> list[str]:
|
|
idx = next(i for i, item in enumerate(DASHA_SEQUENCE) if item["planet"] == lord)
|
|
planets = [item["planet"] for item in DASHA_SEQUENCE]
|
|
return planets[idx:] + planets[:idx]
|
|
|
|
def _child_periods(parent_lord: str, parent_duration_years: float) -> list[dict]:
|
|
rows = []
|
|
for child_lord in _sequence_from(parent_lord):
|
|
child_years = parent_duration_years * next(
|
|
item["years"] for item in DASHA_SEQUENCE if item["planet"] == child_lord
|
|
) / TOTAL_CYCLE
|
|
rows.append({"lord": child_lord, "years": child_years})
|
|
return rows
|
|
|
|
elapsed_in_md = md_years - remaining_years
|
|
hierarchy = [starting_planet]
|
|
parent_lord = starting_planet
|
|
parent_duration = md_years
|
|
elapsed_within_parent = elapsed_in_md
|
|
|
|
for _depth in range(4):
|
|
rows = _child_periods(parent_lord, parent_duration)
|
|
cursor = 0.0
|
|
selected = rows[-1]
|
|
for row in rows:
|
|
next_cursor = cursor + row["years"]
|
|
if cursor <= elapsed_within_parent < next_cursor:
|
|
selected = row
|
|
elapsed_within_parent = elapsed_within_parent - cursor
|
|
break
|
|
cursor = next_cursor
|
|
hierarchy.append(selected["lord"])
|
|
parent_lord = selected["lord"]
|
|
parent_duration = selected["years"]
|
|
|
|
balance = {
|
|
"planet": starting_planet,
|
|
"segment_start_nakshatra": NAKSHATRAS[start_nak_idx],
|
|
"segment_end_nakshatra": NAKSHATRAS[end_nak_idx],
|
|
"segment_span_nakshatras": end_nak_idx - start_nak_idx + 1,
|
|
"display_calendar": "360_day_traditional",
|
|
**_years_to_balance_parts_360(remaining_years),
|
|
}
|
|
birth_chain = {
|
|
"lords": hierarchy,
|
|
"compact": "-".join(_PLANET_ABBR.get(lord, lord[:2]) for lord in hierarchy),
|
|
}
|
|
return balance, birth_chain
|
|
|
|
|
|
def _build_major_periods(start_lord_idx: int, birth_date: datetime) -> list:
|
|
"""
|
|
Build the full list of major periods (Mahadashas) given the starting lord.
|
|
|
|
Returns a list of dicts with keys: planet, years, start_date, end_date.
|
|
"""
|
|
periods = []
|
|
seq_len = len(DASHA_SEQUENCE)
|
|
current_date = birth_date
|
|
|
|
for i in range(seq_len):
|
|
idx = (start_lord_idx + i) % seq_len
|
|
lord = DASHA_SEQUENCE[idx]
|
|
end_date = current_date + timedelta(days=lord["years"] * 365.25)
|
|
periods.append({
|
|
"planet": lord["planet"],
|
|
"years": lord["years"],
|
|
"start_date": current_date.isoformat(),
|
|
"end_date": end_date.isoformat(),
|
|
})
|
|
current_date = end_date
|
|
|
|
return periods
|
|
|
|
|
|
def _sequence_from_lord(starting_planet: str) -> list[dict]:
|
|
start_idx = next(
|
|
idx for idx, lord in enumerate(DASHA_SEQUENCE) if lord["planet"] == starting_planet
|
|
)
|
|
return DASHA_SEQUENCE[start_idx:] + DASHA_SEQUENCE[:start_idx]
|
|
|
|
|
|
def _build_subperiods(parent_period: dict, level_key: str) -> list[dict]:
|
|
start_dt = datetime.fromisoformat(parent_period["start_date"])
|
|
current_dt = start_dt
|
|
child_periods = []
|
|
for lord in _sequence_from_lord(parent_period["planet"]):
|
|
child_years = float(parent_period["years"]) * float(lord["years"]) / float(TOTAL_CYCLE)
|
|
end_dt = current_dt + timedelta(days=child_years * 365.25)
|
|
child_periods.append({
|
|
"level": level_key,
|
|
"planet": lord["planet"],
|
|
"lord": lord["planet"],
|
|
"years": child_years,
|
|
"start_date": current_dt.isoformat(),
|
|
"end_date": end_dt.isoformat(),
|
|
"status": "parameter_sensitive",
|
|
"derivation": "native_ashtottari_recursive_proportional_variant",
|
|
})
|
|
current_dt = end_dt
|
|
if child_periods:
|
|
child_periods[-1]["end_date"] = parent_period["end_date"]
|
|
return child_periods
|
|
|
|
|
|
def _attach_recursive_subperiods(major_periods: list[dict]) -> tuple[list[dict], list[dict]]:
|
|
all_antardashas = []
|
|
all_pratyantardashas = []
|
|
for period in major_periods:
|
|
antardasha = _build_subperiods(period, "antardasha")
|
|
period["antardasha"] = antardasha
|
|
all_antardashas.extend(antardasha)
|
|
for child in antardasha:
|
|
pratyantardasha = _build_subperiods(child, "pratyantardasha")
|
|
child["pratyantardasha"] = pratyantardasha
|
|
all_pratyantardashas.extend(pratyantardasha)
|
|
return all_antardashas, all_pratyantardashas
|
|
|
|
|
|
def calculate_ashtottari_dasha(birth_info: dict) -> dict:
|
|
"""
|
|
Calculate Ashtottari Dasha for a native.
|
|
|
|
Args:
|
|
birth_info: dict containing:
|
|
- "moon_nakshatra_index": int (0-26)
|
|
- "is_shukla_paksha": bool
|
|
- "birth_datetime": datetime object or ISO-format string
|
|
|
|
Returns:
|
|
dict with keys:
|
|
- "applicable": bool — whether this dasha system applies
|
|
- "major": list of major period dicts (planet, years, start/end dates)
|
|
- "current": dict — the currently running major period
|
|
- "total_cycle": int — 108
|
|
- "starting_planet": str — first dasha lord
|
|
"""
|
|
moon_idx = birth_info.get("moon_nakshatra_index")
|
|
is_shukla = birth_info.get("is_shukla_paksha", True)
|
|
birth_dt = birth_info.get("birth_datetime")
|
|
moon_longitude = birth_info.get("moon_longitude")
|
|
rule_family = birth_info.get("applicability_rule_family") or RULE_FAMILY_MOON_NAKSHATRA_PLUS_PAKSHA
|
|
|
|
if isinstance(birth_dt, str):
|
|
birth_dt = datetime.fromisoformat(birth_dt)
|
|
if birth_dt is None:
|
|
birth_dt = datetime.now()
|
|
|
|
if rule_family == RULE_FAMILY_RAHU_FROM_LAGNA_LORD:
|
|
applicable, applicability_reason = evaluate_rahu_from_lagna_lord_rule(birth_info)
|
|
starting_planet = _candidate_nakshatra_starting_lord(moon_idx)
|
|
else:
|
|
applicable, applicability_reason = evaluate_moon_nakshatra_plus_paksha_rule(moon_idx, is_shukla)
|
|
starting_planet = None
|
|
|
|
if not applicable:
|
|
result = {
|
|
"applicable": False,
|
|
"major": [],
|
|
"current": None,
|
|
"total_cycle": TOTAL_CYCLE,
|
|
"starting_planet": None,
|
|
"reason": f"Moon Nakshatra '{NAKSHATRAS[moon_idx]}' does not qualify for Ashtottari Dasha under {'Shukla' if is_shukla else 'Krishna'} Paksha.",
|
|
}
|
|
if rule_family == RULE_FAMILY_RAHU_FROM_LAGNA_LORD:
|
|
result.update({
|
|
"execution_status": "blocked",
|
|
"confidence_status": "blocked",
|
|
"verification_status": "unverified",
|
|
})
|
|
return result
|
|
|
|
if starting_planet is None:
|
|
start_lord_idx = STARTING_LORD_MAP.get(moon_idx, 0)
|
|
starting_planet = DASHA_SEQUENCE[start_lord_idx]["planet"]
|
|
else:
|
|
start_lord_idx = next(
|
|
idx for idx, lord in enumerate(DASHA_SEQUENCE) if lord["planet"] == starting_planet
|
|
)
|
|
|
|
major_periods = _build_major_periods(start_lord_idx, birth_dt)
|
|
antardasha_periods, pratyantardasha_periods = _attach_recursive_subperiods(major_periods)
|
|
balance_at_birth = None
|
|
dasha_at_birth = None
|
|
if moon_longitude is not None and rule_family == RULE_FAMILY_RAHU_FROM_LAGNA_LORD:
|
|
balance_at_birth, dasha_at_birth = _calc_candidate_balance_and_birth_chain(
|
|
moon_longitude=float(moon_longitude),
|
|
starting_planet=starting_planet,
|
|
)
|
|
|
|
# Determine current period. Major periods repeat every 108 years; older natives
|
|
# should still return a current period instead of None after the first cycle.
|
|
now = datetime.now()
|
|
current_period = None
|
|
age_years = max((now - birth_dt).days / 365.25, 0)
|
|
current_in_cycle = age_years % TOTAL_CYCLE
|
|
cumulative = 0.0
|
|
for p in major_periods:
|
|
years = p["years"]
|
|
if cumulative <= current_in_cycle < cumulative + years:
|
|
cycle_start = birth_dt + timedelta(days=(age_years - current_in_cycle + cumulative) * 365.25)
|
|
cycle_end = cycle_start + timedelta(days=years * 365.25)
|
|
current_period = p.copy()
|
|
current_period["start_date"] = cycle_start.isoformat()
|
|
current_period["end_date"] = cycle_end.isoformat()
|
|
current_period["elapsed_years"] = (now - cycle_start).days / 365.25
|
|
current_period["remaining_years"] = (cycle_end - now).days / 365.25
|
|
current_period["cycle_number"] = int(age_years // TOTAL_CYCLE) + 1
|
|
break
|
|
cumulative += years
|
|
|
|
result = {
|
|
"applicable": True,
|
|
"major": major_periods,
|
|
"antardasha": antardasha_periods,
|
|
"pratyantardasha": pratyantardasha_periods,
|
|
"current": current_period,
|
|
"total_cycle": TOTAL_CYCLE,
|
|
"starting_planet": starting_planet,
|
|
}
|
|
if rule_family == RULE_FAMILY_RAHU_FROM_LAGNA_LORD:
|
|
result.update({
|
|
"execution_status": "executed",
|
|
"confidence_status": "parameter_sensitive",
|
|
"verification_status": "unverified",
|
|
})
|
|
return result
|
|
|
|
|
|
# ---------------------------------------------------------------------------
|
|
# Self-test
|
|
# ---------------------------------------------------------------------------
|
|
|
|
if __name__ == "__main__":
|
|
# Example 1: Applicable case — Moon in Rohini, Krishna Paksha
|
|
test_birth_1 = {
|
|
"moon_nakshatra_index": 3, # Rohini
|
|
"is_shukla_paksha": False, # Krishna Paksha
|
|
"birth_datetime": datetime(1990, 6, 15, 10, 30),
|
|
}
|
|
result_1 = calculate_ashtottari_dasha(test_birth_1)
|
|
print("=" * 60)
|
|
print("Test 1: Moon in Rohini, Krishna Paksha")
|
|
print("=" * 60)
|
|
print(f"Applicable: {result_1['applicable']}")
|
|
print(f"Starting Planet: {result_1['starting_planet']}")
|
|
print(f"Total Cycle: {result_1['total_cycle']} years")
|
|
print("Major Periods:")
|
|
for p in result_1["major"]:
|
|
print(f" {p['planet']:10s} | {p['years']:2d} years | {p['start_date'][:10]} → {p['end_date'][:10]}")
|
|
print(f"Current Period: {result_1['current']}")
|
|
print()
|
|
|
|
# Example 2: Applicable case — Moon in Ashwini, Shukla Paksha
|
|
test_birth_2 = {
|
|
"moon_nakshatra_index": 0, # Ashwini
|
|
"is_shukla_paksha": True, # Shukla Paksha
|
|
"birth_datetime": datetime(1985, 3, 20, 8, 0),
|
|
}
|
|
result_2 = calculate_ashtottari_dasha(test_birth_2)
|
|
print("=" * 60)
|
|
print("Test 2: Moon in Ashwini, Shukla Paksha")
|
|
print("=" * 60)
|
|
print(f"Applicable: {result_2['applicable']}")
|
|
print(f"Starting Planet: {result_2['starting_planet']}")
|
|
print(f"Total Cycle: {result_2['total_cycle']} years")
|
|
for p in result_2["major"]:
|
|
print(f" {p['planet']:10s} | {p['years']:2d} years | {p['start_date'][:10]} → {p['end_date'][:10]}")
|
|
print(f"Current Period: {result_2['current']}")
|
|
print()
|
|
|
|
# Example 3: Non-applicable case — Moon in Bharani, Shukla Paksha
|
|
test_birth_3 = {
|
|
"moon_nakshatra_index": 1, # Bharani
|
|
"is_shukla_paksha": True,
|
|
"birth_datetime": datetime(2000, 1, 1, 0, 0),
|
|
}
|
|
result_3 = calculate_ashtottari_dasha(test_birth_3)
|
|
print("=" * 60)
|
|
print("Test 3: Moon in Bharani, Shukla Paksha (Non-applicable)")
|
|
print("=" * 60)
|
|
print(f"Applicable: {result_3['applicable']}")
|
|
print(f"Reason: {result_3['reason']}")
|