




"""simple docstring"""

from collections.abc import Iterator, MutableMapping
from dataclasses import dataclass
from typing import Generic, TypeVar

a         =      TypeVar('''KEY''')
a         =      TypeVar('''VAL''')





@dataclass(frozen=__lowerCAmelCase      ,     slots=__lowerCAmelCase							)
class     lowercase_	(					Generic[KEY, VAL]							):



	'''simple docstring'''
	UpperCAmelCase   :					KEY
	UpperCAmelCase   :					VAL





class     lowercase_	(					_Item							):



	'''simple docstring'''

	def __init__(			self	:	Optional[int]		):
							super().__init__(_UpperCAmelCase   ,							_UpperCAmelCase		)



	def __bool__(			self	:	Optional[Any]		):
							return False



a         =      _DeletedItem()





class     lowercase_	(					MutableMapping[KEY, VAL]							):



	'''simple docstring'''

	def __init__(			self	:	Dict   ,							_UpperCAmelCase	:	int = 8   ,							_UpperCAmelCase	:	float = 0.75		):
							_A        =       initial_block_size
							_A        =       [None] * initial_block_size
							assert 0.0 < capacity_factor < 1.0
							_A        =       capacity_factor
							_A        =       0

	def       lowerCAmelCase_							(			self	:	Optional[int]   ,							_UpperCAmelCase	:	KEY		):
							return hash(_UpperCAmelCase		) % len(self._buckets		)

	def       lowerCAmelCase_							(			self	:	Dict   ,							_UpperCAmelCase	:	int		):
							return (ind + 1) % len(self._buckets		)

	def       lowerCAmelCase_							(			self	:	str   ,							_UpperCAmelCase	:	int   ,							_UpperCAmelCase	:	KEY   ,							_UpperCAmelCase	:	VAL		):
							_A        =       self._buckets[ind]
							if not stored:
													_A        =       _Item(_UpperCAmelCase   ,							_UpperCAmelCase		)
													self._len += 1
													return True
							elif stored.key == key:
													_A        =       _Item(_UpperCAmelCase   ,							_UpperCAmelCase		)
													return True
							else:
													return False

	def       lowerCAmelCase_							(			self	:	List[Any]		):
							_A        =       len(self._buckets		) * self._capacity_factor
							return len(self		) >= int(_UpperCAmelCase		)

	def       lowerCAmelCase_							(			self	:	Tuple		):
							if len(self._buckets		) <= self._initial_block_size:
													return False
							_A        =       len(self._buckets		) * self._capacity_factor / 2
							return len(self		) < limit

	def       lowerCAmelCase_							(			self	:	Dict   ,							_UpperCAmelCase	:	int		):
							_A        =       self._buckets
							_A        =       [None] * new_size
							_A        =       0
							for item in old_buckets:
													if item:
																			self._add_item(item.key   ,							item.val		)

	def       lowerCAmelCase_							(			self	:	Union[str, Any]		):
							self._resize(len(self._buckets		) * 2		)

	def       lowerCAmelCase_							(			self	:	Any		):
							self._resize(len(self._buckets		) // 2		)

	def       lowerCAmelCase_							(			self	:	List[str]   ,							_UpperCAmelCase	:	KEY		):
							_A        =       self._get_bucket_index(_UpperCAmelCase		)
							for _ in range(len(self._buckets		)		):
													yield ind
													_A        =       self._get_next_ind(_UpperCAmelCase		)

	def       lowerCAmelCase_							(			self	:	int   ,							_UpperCAmelCase	:	KEY   ,							_UpperCAmelCase	:	VAL		):
							for ind in self._iterate_buckets(_UpperCAmelCase		):
													if self._try_set(_UpperCAmelCase   ,							_UpperCAmelCase   ,							_UpperCAmelCase		):
																			break

	def __setitem__(			self	:	Dict   ,							_UpperCAmelCase	:	KEY   ,							_UpperCAmelCase	:	VAL		):
							if self._is_full():
													self._size_up()

							self._add_item(_UpperCAmelCase   ,							_UpperCAmelCase		)

	def __delitem__(			self	:	int   ,							_UpperCAmelCase	:	KEY		):
							for ind in self._iterate_buckets(_UpperCAmelCase		):
													_A        =       self._buckets[ind]
													if item is None:
																			raise KeyError(_UpperCAmelCase		)
													if item is _deleted:
																			continue
													if item.key == key:
																			_A        =       _deleted
																			self._len -= 1
																			break
							if self._is_sparse():
													self._size_down()

	def __getitem__(			self	:	Dict   ,							_UpperCAmelCase	:	KEY		):
							for ind in self._iterate_buckets(_UpperCAmelCase		):
													_A        =       self._buckets[ind]
													if item is None:
																			break
													if item is _deleted:
																			continue
													if item.key == key:
																			return item.val
							raise KeyError(_UpperCAmelCase		)

	def __len__(			self	:	List[str]		):
							return self._len

	def __iter__(			self	:	Dict		):
							yield from (item.key for item in self._buckets if item)



	def __repr__(			self	:	Optional[int]		):
							_A        =       ' ,'.join(
							    F'''{item.key}: {item.val}''' for item in self._buckets if item		)
							return F'''HashMap({val_string})'''







"""simple docstring"""

import argparse
from collections import defaultdict

import yaml


a         =      '''docs/source/en/_toctree.yml'''






def 						_snake_case					( _snake_case							: List[Any]							)   -> Optional[Any]:






      '''simple docstring'''


      _A        =       defaultdict(_snake_case							)
      _A        =       []
      _A        =       []
      for doc in doc_list:
            if "local" in doc:
                  counts[doc["local"]] += 1

            if doc["title"].lower() == "overview":
                  overview_doc.append({'local': doc['local'], 'title': doc['title']}							)
            else:
                  new_doc_list.append(_snake_case							)

      _A        =       new_doc_list
      _A        =       [key for key, value in counts.items() if value > 1]

      _A        =       []
      for duplicate_key in duplicates:
            _A        =       list({doc['title'] for doc in doc_list 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 doc_list if 'local' not in counts or counts[doc['local']] == 1]							)
      _A        =       sorted(_snake_case    ,  key=lambda _snake_case							: s["title"].lower()							)

      # "overview" gets special treatment and is always first
      if len(_snake_case							) > 1:
            raise ValueError('{doc_list} has two \'overview\' docs which is not allowed.'							)

      overview_doc.extend(_snake_case							)

      # Sort
      return overview_doc






def 						_snake_case					( _snake_case							: Tuple=False							)   -> List[Any]:






      '''simple docstring'''


      with open(_snake_case    ,  encoding='utf-8'							) as f:
            _A        =       yaml.safe_load(f.read()							)

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

      # Then to the model doc
      _A        =       0
      while api_doc[scheduler_idx]["title"] != "Schedulers":
            scheduler_idx += 1

      _A        =       api_doc[scheduler_idx]['sections']
      _A        =       clean_doc_toc(_snake_case							)

      _A        =       False
      if new_scheduler_doc != scheduler_doc:
            _A        =       True
            if overwrite:
                  _A        =       new_scheduler_doc

      if diff:
            if overwrite:
                  _A        =       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.'							)






def 						_snake_case					( _snake_case							: str=False							)   -> Union[str, Any]:






      '''simple docstring'''


      with open(_snake_case    ,  encoding='utf-8'							) as f:
            _A        =       yaml.safe_load(f.read()							)

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

      # Then to the model doc
      _A        =       0
      while api_doc[pipeline_idx]["title"] != "Pipelines":
            pipeline_idx += 1

      _A        =       False
      _A        =       api_doc[pipeline_idx]['sections']
      _A        =       []

      # sort sub pipeline docs
      for pipeline_doc in pipeline_docs:
            if "section" in pipeline_doc:
                  _A        =       pipeline_doc['section']
                  _A        =       clean_doc_toc(_snake_case							)
                  if overwrite:
                        _A        =       new_sub_pipeline_doc
            new_pipeline_docs.append(_snake_case							)

      # sort overall pipeline doc
      _A        =       clean_doc_toc(_snake_case							)

      if new_pipeline_docs != pipeline_docs:
            _A        =       True
            if overwrite:
                  _A        =       new_pipeline_docs

      if diff:
            if overwrite:
                  _A        =       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__":
       a         =      argparse.ArgumentParser()
       parser.add_argument('''--fix_and_overwrite''', action='''store_true''', help='''Whether to fix inconsistencies.''')
       a         =      parser.parse_args()

       check_scheduler_doc(args.fix_and_overwrite)
       check_pipeline_doc(args.fix_and_overwrite)

