



import argparse
from collections import defaultdict

import yaml


__UpperCAmelCase          =       '''docs/source/en/_toctree.yml'''
def 		UpperCamelCase	(   snake_case__       :    Any	)	->     List[str]:
   UpperCamelCase    :  List[str]							=	defaultdict(snake_case__	)
   for doc in model_doc:
      counts[doc["local"]] += 1
   UpperCamelCase    :  Optional[int]							=	[key for key, value in counts.items() if value > 1]

   UpperCamelCase    :  Dict							=	[]
   for duplicate_key in duplicates:
      UpperCamelCase    :  int							=	list({doc['title'] for doc in model_doc if doc['local'] == duplicate_key}	)
      if len(snake_case__	) > 1:
         raise ValueError(
             F"""{duplicate_key} is present several times in the documentation table of content at """
             '`docs/source/en/_toctree.yml` with different *Title* values. Choose one of those and remove the '
             'others.'	)
      # Only add this once
      new_doc.append({'local': duplicate_key, 'title': titles[0]}	)

   # Add none duplicate-keys
   new_doc.extend([doc for doc in model_doc if counts[doc['local']] == 1]	)

   # Sort
   return sorted(snake_case__       ,     key=lambda snake_case__	: s["title"].lower()	)
def 		UpperCamelCase	(   snake_case__       :    int=False	)	->     Optional[Any]:
   with open(snake_case__       ,     encoding='utf-8'	) as f:
      UpperCamelCase    :  Dict							=	yaml.safe_load(f.read()	)

   # Get to the API doc
   UpperCamelCase    :  Optional[Any]							=	0
   while content[api_idx]["title"] != "API":
      api_idx += 1
   UpperCamelCase    :  str							=	content[api_idx]['sections']

   # Then to the model doc
   UpperCamelCase    :  Any							=	0
   while api_doc[model_idx]["title"] != "Models":
      model_idx += 1

   UpperCamelCase    :  Optional[int]							=	api_doc[model_idx]['sections']

   UpperCamelCase    :  List[str]							=	[(idx, section) for idx, section in enumerate(snake_case__	) if 'sections' in section]
   UpperCamelCase    :  Any							=	False
   for idx, modality_doc in modalities_docs:
      UpperCamelCase    :  Any							=	modality_doc['sections']
      UpperCamelCase    :  Optional[Any]							=	clean_model_doc_toc(snake_case__	)

      if old_modality_doc != new_modality_doc:
         UpperCamelCase    :  List[str]							=	True
         if overwrite:
            UpperCamelCase    :  int							=	new_modality_doc

   if diff:
      if overwrite:
         UpperCamelCase    :  Optional[Any]							=	model_doc
         UpperCamelCase    :  Tuple							=	api_doc
         with open(snake_case__       ,     'w'       ,     encoding='utf-8'	) as f:
            f.write(yaml.dump(snake_case__       ,     allow_unicode=snake_case__	)	)
      else:
         raise ValueError(
             'The model doc part of the table of content is not properly sorted, run `make style` to fix this.'	)


if __name__ == "__main__":
    __UpperCAmelCase          =       argparse.ArgumentParser()
    parser.add_argument('''--fix_and_overwrite''', action='''store_true''', help='''Whether to fix inconsistencies.''')
    __UpperCAmelCase          =       parser.parse_args()

    check_model_doc(args.fix_and_overwrite)








from __future__ import annotations

from itertools import permutations
from random import randint
from timeit import repeat
def 		UpperCamelCase	(   )	->     tuple[list[int], int]:
   UpperCamelCase    :  int							=	[randint(-1000       ,     1000	) for i in range(10	)]
   UpperCamelCase    :  Dict							=	randint(-5000       ,     5000	)
   return (arr, r)


__UpperCAmelCase          =       make_dataset()
def 		UpperCamelCase	(   snake_case__       :    list[int]       ,     snake_case__       :    int	)	->     tuple[int, ...]:
   for triplet in permutations(snake_case__       ,     3	):
      if sum(snake_case__	) == target:
         return tuple(sorted(snake_case__	)	)
   return (0, 0, 0)
def 		UpperCamelCase	(   snake_case__       :    list[int]       ,     snake_case__       :    int	)	->     tuple[int, int, int]:
   arr.sort()
   UpperCamelCase    :  List[str]							=	len(snake_case__	)
   for i in range(n - 1	):
      UpperCamelCase	,     UpperCamelCase    :  Optional[Any]							=	i + 1, n - 1
      while left < right:
         if arr[i] + arr[left] + arr[right] == target:
            return (arr[i], arr[left], arr[right])
         elif arr[i] + arr[left] + arr[right] < target:
            left += 1
         elif arr[i] + arr[left] + arr[right] > target:
            right -= 1
   return (0, 0, 0)
def 		UpperCamelCase	(   )	->     tuple[float, float]:
   UpperCamelCase    :  Any							=	'\nfrom __main__ import dataset, triplet_sum1, triplet_sum2\n'
   UpperCamelCase    :  Optional[Any]							=	'\ntriplet_sum1(*dataset)\n'
   UpperCamelCase    :  Dict							=	'\ntriplet_sum2(*dataset)\n'
   UpperCamelCase    :  Optional[int]							=	repeat(setup=snake_case__       ,     stmt=snake_case__       ,     repeat=5       ,     number=10000	)
   UpperCamelCase    :  Any							=	repeat(setup=snake_case__       ,     stmt=snake_case__       ,     repeat=5       ,     number=10000	)
   return (min(snake_case__	), min(snake_case__	))


if __name__ == "__main__":
    from doctest import testmod

    testmod()
    __UpperCAmelCase          =       solution_times()
    print(F"""The time for naive implementation is {times[0]}.""")
    print(F"""The time for optimized implementation is {times[1]}.""")



