"""simple docstring"""







import json
from typing import Iterator, List, Union

from tokenizers import AddedToken, Regex, Tokenizer, decoders, normalizers, pre_tokenizers, trainers
from tokenizers.implementations.base_tokenizer import BaseTokenizer
from tokenizers.models import Unigram
from tokenizers.processors import TemplateProcessing

class 	UpperCamelCase    (					_snake_case		):



				def __init__(self       :   Any			,						_A       :   str = "▁"			,						_A       :   bool = True			,						_A       :   Union[str, AddedToken] = "<unk>"			,						_A       :   Union[str, AddedToken] = "</s>"			,						_A       :   Union[str, AddedToken] = "<pad>"			,						)					->			Optional[Any]:
					__snake_case    :							Dict   	=				{
					    'pad': {'id': 0, 'token': pad_token},
					    'eos': {'id': 1, 'token': eos_token},
					    'unk': {'id': 2, 'token': unk_token},
					}

					__snake_case    :							Dict   	=				[None] * len(self.special_tokens)
					for token_dict in self.special_tokens.values():
						__snake_case    :							Optional[int]   	=				token_dict['token']

					__snake_case    :							Optional[int]   	=				Tokenizer(Unigram())

					__snake_case    :							Dict   	=				normalizers.Sequence(
					    [
					        normalizers.Nmt(),
					        normalizers.NFKC(),
					        normalizers.Replace(Regex(' {2,}')			,						' '),
					        normalizers.Lowercase(),
					    ])
					__snake_case    :							Tuple   	=				pre_tokenizers.Sequence(
					    [
					        pre_tokenizers.Metaspace(replacement=lowerCAmelCase__			,						add_prefix_space=lowerCAmelCase__),
					        pre_tokenizers.Digits(individual_digits=lowerCAmelCase__),
					        pre_tokenizers.Punctuation(),
					    ])
					__snake_case    :							Union[str, Any]   	=				decoders.Metaspace(replacement=lowerCAmelCase__			,						add_prefix_space=lowerCAmelCase__)

					__snake_case    :							str   	=				TemplateProcessing(
					    single=f"$A {self.special_tokens['eos']['token']}"			,						special_tokens=[(self.special_tokens['eos']['token'], self.special_tokens['eos']['id'])]			,						)

					__snake_case    :							Tuple   	=				{
					    'model': 'SentencePieceUnigram',
					    'replacement': replacement,
					    'add_prefix_space': add_prefix_space,
					}

					super().__init__(lowerCAmelCase__			,						lowerCAmelCase__)



				def       _lowercase  (self       :   Any			,						_A       :   Union[str, List[str]]			,						_A       :   int = 80_00			,						_A       :   bool = True			,						)					->			List[str]:
					__snake_case    :							Optional[int]   	=				trainers.UnigramTrainer(
					    vocab_size=lowerCAmelCase__			,						special_tokens=self.special_tokens_list			,						show_progress=lowerCAmelCase__			,						)

					if isinstance(lowerCAmelCase__			,						lowerCAmelCase__):
						__snake_case    :							List[Any]   	=				[files]
					self._tokenizer.train(lowerCAmelCase__			,						trainer=lowerCAmelCase__)

					self.add_unk_id()



				def       _lowercase  (self       :   Tuple			,						_A       :   Union[Iterator[str], Iterator[Iterator[str]]]			,						_A       :   int = 80_00			,						_A       :   bool = True			,						)					->			List[Any]:
					__snake_case    :							List[str]   	=				trainers.UnigramTrainer(
					    vocab_size=lowerCAmelCase__			,						special_tokens=self.special_tokens_list			,						show_progress=lowerCAmelCase__			,						)

					self._tokenizer.train_from_iterator(lowerCAmelCase__			,						trainer=lowerCAmelCase__)

					self.add_unk_id()






				def       _lowercase  (self       :   List[Any])					->			Dict:
					__snake_case    :							int   	=				json.loads(self._tokenizer.to_str())

					__snake_case    :							Tuple   	=				self.special_tokens['unk']['id']

					__snake_case    :							Union[str, Any]   	=				Tokenizer.from_str(json.dumps(lowerCAmelCase__))


"""simple docstring"""







import argparse
from collections import defaultdict

import yaml


_a  :  Tuple=				"docs/source/en/_toctree.yml"
def 						__UpperCAmelCase       (					UpperCAmelCase_					:       Optional[Any]						)							->    Dict:

	'''simple docstring'''





	__snake_case    :							Union[str, Any]   	=				defaultdict(UpperCAmelCase_						)
	__snake_case    :							List[str]   	=				[]
	__snake_case    :							Tuple   	=				[]
	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(UpperCAmelCase_						)

	__snake_case    :							Any   	=				new_doc_list
	__snake_case    :							Dict   	=				[key for key, value in counts.items() if value > 1]

	__snake_case    :							Optional[int]   	=				[]
	for duplicate_key in duplicates:
		__snake_case    :							Tuple   	=				list({doc['title'] for doc in doc_list if doc['local'] == duplicate_key}						)
		if len(UpperCAmelCase_						) > 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]						)
	__snake_case    :							List[Any]   	=				sorted(UpperCAmelCase_    ,							key=lambda UpperCAmelCase_						: s["title"].lower()						)

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

	overview_doc.extend(UpperCAmelCase_						)

	# Sort
	return overview_doc
def 						__UpperCAmelCase       (					UpperCAmelCase_					:       Optional[int]=False						)							->    str:

	'''simple docstring'''





	with open(UpperCAmelCase_    ,							encoding='utf-8'						) as f:
		__snake_case    :							List[Any]   	=				yaml.safe_load(f.read()						)

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

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

	__snake_case    :							Optional[Any]   	=				api_doc[scheduler_idx]['sections']
	__snake_case    :							Tuple   	=				clean_doc_toc(UpperCAmelCase_						)

	__snake_case    :							Tuple   	=				False
	if new_scheduler_doc != scheduler_doc:
		__snake_case    :							Optional[int]   	=				True
		if overwrite:
			__snake_case    :							Tuple   	=				new_scheduler_doc

	if diff:
		if overwrite:
			__snake_case    :							Optional[int]   	=				api_doc
			with open(UpperCAmelCase_    ,							'w'    ,							encoding='utf-8'						) as f:
				f.write(yaml.dump(UpperCAmelCase_    ,							allow_unicode=UpperCAmelCase_						)						)
		else:
			raise ValueError(
			    'The model doc part of the table of content is not properly sorted, run `make style` to fix this.'						)
def 						__UpperCAmelCase       (					UpperCAmelCase_					:       Any=False						)							->    Union[str, Any]:

	'''simple docstring'''





	with open(UpperCAmelCase_    ,							encoding='utf-8'						) as f:
		__snake_case    :							Dict   	=				yaml.safe_load(f.read()						)

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

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

	__snake_case    :							Optional[int]   	=				False
	__snake_case    :							Optional[Any]   	=				api_doc[pipeline_idx]['sections']
	__snake_case    :							Tuple   	=				[]

	# sort sub pipeline docs
	for pipeline_doc in pipeline_docs:
		if "section" in pipeline_doc:
			__snake_case    :							List[str]   	=				pipeline_doc['section']
			__snake_case    :							Optional[int]   	=				clean_doc_toc(UpperCAmelCase_						)
			if overwrite:
				__snake_case    :							List[Any]   	=				new_sub_pipeline_doc
		new_pipeline_docs.append(UpperCAmelCase_						)

	# sort overall pipeline doc
	__snake_case    :							List[Any]   	=				clean_doc_toc(UpperCAmelCase_						)

	if new_pipeline_docs != pipeline_docs:
		__snake_case    :							Dict   	=				True
		if overwrite:
			__snake_case    :							Tuple   	=				new_pipeline_docs

	if diff:
		if overwrite:
			__snake_case    :							Union[str, Any]   	=				api_doc
			with open(UpperCAmelCase_    ,							'w'    ,							encoding='utf-8'						) as f:
				f.write(yaml.dump(UpperCAmelCase_    ,							allow_unicode=UpperCAmelCase_						)						)
		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  :  Optional[int]=				argparse.ArgumentParser()
	parser.add_argument("--fix_and_overwrite", action="store_true", help="Whether to fix inconsistencies.")
	_a  :  List[str]=				parser.parse_args()

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





