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								#!/usr/bin/env python3
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								import argparse
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								import jinja2
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								import os
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								from enum import Enum
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								from natsort import natsorted
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								from typing import Dict, List
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								from common.basedir import BASEDIR
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								from selfdrive.car.docs_definitions import CarInfo, Column, Star, Tier
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								from selfdrive.car.car_helpers import interfaces, get_interface_attr
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								from selfdrive.car.hyundai.radar_interface import RADAR_START_ADDR as HKG_RADAR_START_ADDR
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								from selfdrive.car.tests.routes import non_tested_cars
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								def get_all_footnotes() -> Dict[Enum, int]:
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								  all_footnotes = []
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								  for _, footnotes in get_interface_attr("Footnote").items():
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								    if footnotes is not None:
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								      all_footnotes += footnotes
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								  return {fn: idx + 1 for idx, fn in enumerate(all_footnotes)}
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								ALL_FOOTNOTES: Dict[Enum, int] = get_all_footnotes()
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								CARS_MD_OUT = os.path.join(BASEDIR, "docs", "CARS.md")
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								CARS_MD_TEMPLATE = os.path.join(BASEDIR, "selfdrive", "car", "CARS_template.md")
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								def get_all_car_info() -> List[CarInfo]:
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								  all_car_info: List[CarInfo] = []
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								  for models in get_interface_attr("CAR_INFO").values():
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								    for model, car_info in models.items():
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								      # Hyundai exception: those with radar have openpilot longitudinal
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								      fingerprint = {0: {}, 1: {HKG_RADAR_START_ADDR: 8}, 2: {}, 3: {}}
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								      CP = interfaces[model][0].get_params(model, fingerprint=fingerprint, disable_radar=True)
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								      if CP.dashcamOnly or car_info is None:
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								        continue
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								      # A platform can include multiple car models
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								      if not isinstance(car_info, list):
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								        car_info = (car_info,)
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								      for _car_info in car_info:
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								        all_car_info.append(_car_info.init(CP, non_tested_cars, ALL_FOOTNOTES))
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								  # Sort cars by make and model + year
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								  sorted_cars: List[CarInfo] = natsorted(all_car_info, key=lambda car: (car.make + car.model).lower())
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								  return sorted_cars
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								def sort_by_tier(all_car_info: List[CarInfo]) -> Dict[Tier, List[CarInfo]]:
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								  tier_car_info: Dict[Tier, List[CarInfo]] = {tier: [] for tier in Tier}
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								  for car_info in all_car_info:
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								    tier_car_info[car_info.tier].append(car_info)
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								  # Sort cars by make and model + year
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								  for tier, cars in tier_car_info.items():
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								    tier_car_info[tier] = natsorted(cars, key=lambda car: (car.make + car.model).lower())
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								  return tier_car_info
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								def generate_cars_md(all_car_info: List[CarInfo], template_fn: str) -> str:
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								  with open(template_fn, "r") as f:
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								    template = jinja2.Template(f.read(), trim_blocks=True, lstrip_blocks=True)
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								  footnotes = [fn.value.text for fn in ALL_FOOTNOTES]
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								  cars_md: str = template.render(tiers=sort_by_tier(all_car_info), all_car_info=all_car_info,
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								                                 footnotes=footnotes, Star=Star, Column=Column)
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								  return cars_md
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								if __name__ == "__main__":
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								  parser = argparse.ArgumentParser(description="Auto generates supported cars documentation",
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								                                   formatter_class=argparse.ArgumentDefaultsHelpFormatter)
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								  parser.add_argument("--template", default=CARS_MD_TEMPLATE, help="Override default template filename")
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								  parser.add_argument("--out", default=CARS_MD_OUT, help="Override default generated filename")
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								  args = parser.parse_args()
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								  with open(args.out, 'w') as f:
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								    f.write(generate_cars_md(get_all_car_info(), args.template))
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								  print(f"Generated and written to {args.out}")
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