





import importlib
import os
from dataclasses import dataclass
from enum import Enum
from typing import Any, Dict, Optional, Union

import torch

from ..utils import BaseOutput


A    :					Optional[Any] =      '''scheduler_config.json'''


class   A			(SCREAMING_SNAKE_CASE    ):
			'''simple docstring'''




			__lowerCamelCase	:       List[Any]							=    1
			__lowerCamelCase	:       Optional[int]							=    2
			__lowerCamelCase	:       List[Any]							=    3
			__lowerCamelCase	:       Any							=    4
			__lowerCamelCase	:       List[str]							=    5
			__lowerCamelCase	:       Any							=    6
			__lowerCamelCase	:       List[str]							=    7
			__lowerCamelCase	:       int							=    8
			__lowerCamelCase	:       List[Any]							=    9
			__lowerCamelCase	:       Optional[int]							=    10
			__lowerCamelCase	:       int							=    11
			__lowerCamelCase	:       Union[str, Any]							=    12
			__lowerCamelCase	:       List[Any]							=    13
			__lowerCamelCase	:       str							=    14


@dataclass
class   A			(SCREAMING_SNAKE_CASE    ):
			'''simple docstring'''




			__lowerCamelCase	:       torch.FloatTensor


class   A			:
			'''simple docstring'''




			__lowerCamelCase	:       Tuple							=    SCHEDULER_CONFIG_NAME
			__lowerCamelCase	:       Optional[Any]							=    []
			__lowerCamelCase	:       Tuple							=    True






			@classmethod
			def    a_       (			cls   :    Optional[int]							,	__lowerCAmelCase   :    Dict[str, Any] = None							,	__lowerCAmelCase   :    Optional[str] = None							,	__lowerCAmelCase   :    str=False							,	**__lowerCAmelCase   :    Optional[Any]							,	)	->	str:







					"""simple docstring"""






					A__      ,			A__      ,			A__        =   cls.load_config(
					    pretrained_model_name_or_path=__lowerCAmelCase							,	subfolder=__lowerCAmelCase							,	return_unused_kwargs=__lowerCAmelCase							,	return_commit_hash=__lowerCAmelCase							,	**__lowerCAmelCase							,	)
					return cls.from_config(__lowerCAmelCase							,	return_unused_kwargs=__lowerCAmelCase							,	**__lowerCAmelCase   )






			def    a_       (			self   :    Optional[int]							,	__lowerCAmelCase   :    Union[str, os.PathLike]							,	__lowerCAmelCase   :    bool = False							,	**__lowerCAmelCase   :    Dict   )	->	Dict:







					"""simple docstring"""






					self.save_config(save_directory=__lowerCAmelCase							,	push_to_hub=__lowerCAmelCase							,	**__lowerCAmelCase   )






			@property
			def    a_       (			self   :    int   )	->	str:







					"""simple docstring"""






					return self._get_compatibles()







			@classmethod
			def    a_       (			cls   :    Optional[Any]   )	->	int:







					"""simple docstring"""






					A__        =   list(set([cls.__name__] + cls._compatibles   )   )
					A__        =   importlib.import_module(__name__.split("""."""   )[0]   )
					A__        =   [
					    getattr(__lowerCAmelCase							,	__lowerCAmelCase   ) for c in compatible_classes_str if hasattr(__lowerCAmelCase							,	__lowerCAmelCase   )
					]
					return compatible_classes










import argparse
from collections import defaultdict

import yaml


A    :					str =      '''docs/source/en/_toctree.yml'''







def    __lowerCamelCase					(							__a   :str    )		->				List[Any]:






		"""simple docstring"""

		A__        =   defaultdict(__a    )
		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(__a    )

		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(__a    ) > 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(__a    ,     key=lambda __a    : s["title"].lower()    )

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

		overview_doc.extend(__a    )

		# Sort
		return overview_doc







def    __lowerCamelCase					(							__a   :Any=False    )		->				List[str]:






		"""simple docstring"""

		with open(__a    ,     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(__a    )

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







def    __lowerCamelCase					(							__a   :Optional[int]=False    )		->				Dict:






		"""simple docstring"""

		with open(__a    ,     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(__a    )
						if overwrite:
								A__        =   new_sub_pipeline_doc
				new_pipeline_docs.append(__a    )

		# sort overall pipeline doc
		A__        =   clean_doc_toc(__a    )

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

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

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



