



'''simple docstring'''




import json
import os
import unittest

from transformers.models.ctrl.tokenization_ctrl import VOCAB_FILES_NAMES, CTRLTokenizer

from ...test_tokenization_common import TokenizerTesterMixin







class 	_lowerCAmelCase							(			__UpperCAmelCase      ,			unittest.TestCase ):
	__SCREAMING_SNAKE_CASE   :		Tuple					=					CTRLTokenizer
	__SCREAMING_SNAKE_CASE   :		Optional[Any]					=					False
	__SCREAMING_SNAKE_CASE   :		Optional[int]					=					False


	def     _a	(self							):
				super().setUp()

				# Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
				A_	:						List[Any]	=     ["""adapt""", """re@@""", """a@@""", """apt""", """c@@""", """t""", """<unk>"""]
				A_	:						Optional[int]	=     dict(zip(A__       ,      range(len(A__							)							)							)							)
				A_	:						Any	=     ["""#version: 0.2""", """a p""", """ap t</w>""", """r e""", """a d""", """ad apt</w>""", """"""]
				A_	:						str	=     {"""unk_token""": """<unk>"""}

				A_	:						Optional[Any]	=     os.path.join(self.tmpdirname       ,      VOCAB_FILES_NAMES["""vocab_file"""]							)
				A_	:						List[Any]	=     os.path.join(self.tmpdirname       ,      VOCAB_FILES_NAMES["""merges_file"""]							)
				with open(self.vocab_file       ,      """w"""       ,      encoding="""utf-8"""							) as fp:
							fp.write(json.dumps(A__							) + """\n"""							)
				with open(self.merges_file       ,      """w"""       ,      encoding="""utf-8"""							) as fp:
							fp.write("""\n""".join(A__							)							)


	def     _a	(self       ,      **lowercase							):
				kwargs.update(self.special_tokens_map							)
				return CTRLTokenizer.from_pretrained(self.tmpdirname       ,      **A__							)


	def     _a	(self       ,      lowercase							):
				A_	:						Optional[Any]	=     """adapt react readapt apt"""
				A_	:						Any	=     """adapt react readapt apt"""
				return input_text, output_text


	def     _a	(self							):
				A_	:						Dict	=     CTRLTokenizer(self.vocab_file       ,      self.merges_file       ,      **self.special_tokens_map							)
				A_	:						int	=     """adapt react readapt apt"""
				A_	:						Union[str, Any]	=     """adapt re@@ a@@ c@@ t re@@ adapt apt""".split()
				A_	:						List[Any]	=     tokenizer.tokenize(A__							)
				self.assertListEqual(A__       ,      A__							)

				A_	:						Tuple	=     tokens + [tokenizer.unk_token]

				A_	:						int	=     [0, 1, 2, 4, 5, 1, 0, 3, 6]
				self.assertListEqual(tokenizer.convert_tokens_to_ids(A__							)       ,      A__							)


import argparse
from collections import defaultdict

import yaml


A_       : List[str]         =			'docs/source/en/_toctree.yml'

def 						UpperCamelCase					(lowercase_: Optional[int]					)     ->      List[str]:
	A__							:    Dict        =		defaultdict(lowercase_					)
	A__							:    Optional[int]        =		[]
	A__							:    Union[str, Any]        =		[]
	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(lowercase_					)

	A__							:    Optional[int]        =		new_doc_list
	A__							:    Optional[int]        =		[key for key, value in counts.items() if value > 1]

	A__							:    Optional[Any]        =		[]
	for duplicate_key in duplicates:
		A__							:    List[Any]        =		list({doc["""title"""] for doc in doc_list if doc["""local"""] == duplicate_key}					)
		if len(lowercase_					) > 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__							:    Dict        =		sorted(lowercase_    ,      key=lambda lowercase_					: s["title"].lower()					)

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

	overview_doc.extend(lowercase_					)

	# Sort
	return overview_doc

def 						UpperCamelCase					(lowercase_: Tuple=False					)     ->      List[Any]:
	with open(lowercase_    ,      encoding="""utf-8"""					) as f:
		A__							:    Dict        =		yaml.safe_load(f.read()					)

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

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

	A__							:    List[Any]        =		api_doc[scheduler_idx]["""sections"""]
	A__							:    Union[str, Any]        =		clean_doc_toc(lowercase_					)

	A__							:    Optional[int]        =		False
	if new_scheduler_doc != scheduler_doc:
		A__							:    List[Any]        =		True
		if overwrite:
			A__							:    Optional[int]        =		new_scheduler_doc

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

def 						UpperCamelCase					(lowercase_: Dict=False					)     ->      Optional[Any]:
	with open(lowercase_    ,      encoding="""utf-8"""					) as f:
		A__							:    int        =		yaml.safe_load(f.read()					)

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

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

	A__							:    Dict        =		False
	A__							:    Tuple        =		api_doc[pipeline_idx]["""sections"""]
	A__							:    Tuple        =		[]

	# sort sub pipeline docs
	for pipeline_doc in pipeline_docs:
		if "section" in pipeline_doc:
			A__							:    List[Any]        =		pipeline_doc["""section"""]
			A__							:    Dict        =		clean_doc_toc(lowercase_					)
			if overwrite:
				A__							:    Optional[Any]        =		new_sub_pipeline_doc
		new_pipeline_docs.append(lowercase_					)

	# sort overall pipeline doc
	A__							:    Optional[int]        =		clean_doc_toc(lowercase_					)

	if new_pipeline_docs != pipeline_docs:
		A__							:    int        =		True
		if overwrite:
			A__							:    List[Any]        =		new_pipeline_docs

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

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



