




'''simple docstring'''


import dataclasses
import json
import sys
import types
from argparse import ArgumentDefaultsHelpFormatter, ArgumentParser, ArgumentTypeError
from copy import copy
from enum import Enum
from inspect import isclass
from pathlib import Path
from typing import Any, Callable, Dict, Iterable, List, Literal, NewType, Optional, Tuple, Union, get_type_hints

import yaml


_snake_case				:				Dict       							=		NewType('DataClass', Any)
_snake_case				:				str       							=		NewType('DataClassType', Any)
def 		snake_case_   (UpperCamelCase	:  List[Any]				):





							'''simple docstring'''


							if isinstance(UpperCamelCase			,						UpperCamelCase				):
														return v
							if v.lower() in ("yes", "true", "t", "y", "1"):
														return True
							elif v.lower() in ("no", "false", "f", "n", "0"):
														return False
							else:
														raise ArgumentTypeError(
														    f'Truthy value expected: got {v} but expected one of yes/no, true/false, t/f, y/n, 1/0 (case insensitive).'				)
def 		snake_case_   (UpperCamelCase	:  list				):





							'''simple docstring'''


							_a     					=    {str(UpperCamelCase				): choice for choice in choices}
							return lambda UpperCamelCase				: str_to_choice.get(UpperCamelCase			,						UpperCamelCase				)
def 		snake_case_   (*,
    UpperCamelCase	:  Union[str, List[str]] = None			,						UpperCamelCase	:  str = None			,						UpperCamelCase	:  Any = dataclasses.MISSING			,						UpperCamelCase	:  Callable[[], Any] = dataclasses.MISSING			,						UpperCamelCase	:  dict = None			,						**UpperCamelCase	:  str			,						):





							'''simple docstring'''


							if metadata is None:
														# Important, don't use as default param in function signature because dict is mutable and shared across function calls
														_a     					=    {}
							if aliases is not None:
														_a     					=    aliases
							if help is not None:
														_a     					=    help

							return dataclasses.field(metadata=UpperCamelCase			,						default=UpperCamelCase			,						default_factory=UpperCamelCase			,						**UpperCamelCase				)

class       A   (		_a   ):
							lowercase_          =    42







							def __init__(  self	:  Tuple							,      lowerCAmelCase_	:  Union[DataClassType, Iterable[DataClassType]]							,      **lowerCAmelCase_	:  Optional[Any] )      ->							str:


														"""simple docstring"""


														if "formatter_class" not in kwargs:
																					_a     					=    ArgumentDefaultsHelpFormatter
														super().__init__(**lowerCAmelCase_ )
														if dataclasses.is_dataclass(lowerCAmelCase_ ):
																					_a     					=    [dataclass_types]
														_a     					=    list(lowerCAmelCase_ )
														for dtype in self.dataclass_types:
																					self._add_dataclass_arguments(lowerCAmelCase_ )







							@staticmethod
							def        __lowerCAmelCase      (  lowerCAmelCase_	:  ArgumentParser							,      lowerCAmelCase_	:  dataclasses.Field )      ->							List[str]:


														"""simple docstring"""


														_a     					=    F'--{field.name}'
														_a     					=    field.metadata.copy()
														# field.metadata is not used at all by Data Classes,
														# it is provided as a third-party extension mechanism.
														if isinstance(field.type							,      lowerCAmelCase_ ):
																					raise RuntimeError(
																					    '''Unresolved type detected, which should have been done with the help of '''
																					    '''`typing.get_type_hints` method by default''' )

														_a     					=    kwargs.pop('''aliases'''							,      [] )
														if isinstance(lowerCAmelCase_							,      lowerCAmelCase_ ):
																					_a     					=    [aliases]

														_a     					=    getattr(field.type							,      '''__origin__'''							,      field.type )
														if origin_type is Union or (hasattr(lowerCAmelCase_							,      '''UnionType''' ) and isinstance(lowerCAmelCase_							,      types.UnionType )):
																					if str not in field.type.__args__ and (
																					    len(field.type.__args__ ) != 2 or type(lowerCAmelCase_ ) not in field.type.__args__
																					):
																												raise ValueError(
																												    '''Only `Union[X, NoneType]` (i.e., `Optional[X]`) is allowed for `Union` because'''
																												    ''' the argument parser only supports one type per argument.'''
																												    F' Problem encountered in field \'{field.name}\'.' )
																					if type(lowerCAmelCase_ ) not in field.type.__args__:
																												# filter `str` in Union
																												_a     					=    field.type.__args__[0] if field.type.__args__[1] == str else field.type.__args__[1]
																												_a     					=    getattr(field.type							,      '''__origin__'''							,      field.type )
																					elif bool not in field.type.__args__:
																												# filter `NoneType` in Union (except for `Union[bool, NoneType]`)
																												_a     					=    (
																												    field.type.__args__[0] if isinstance(lowerCAmelCase_							,      field.type.__args__[1] ) else field.type.__args__[1]
																												)
																												_a     					=    getattr(field.type							,      '''__origin__'''							,      field.type )

        # A variable to store kwargs for a boolean field, if needed
        # so that we can init a `no_*` complement argument (see below)
														_a     					=    {}
														if origin_type is Literal or (isinstance(field.type							,      lowerCAmelCase_ ) and issubclass(field.type							,      lowerCAmelCase_ )):
																					if origin_type is Literal:
																												_a     					=    field.type.__args__
																					else:
																												_a     					=    [x.value for x in field.type]

																					_a     					=    make_choice_type_function(kwargs['''choices'''] )

																					if field.default is not dataclasses.MISSING:
																												_a     					=    field.default
																					else:
																												_a     					=    True
														elif field.type is bool or field.type == Optional[bool]:
																					# Copy the currect kwargs to use to instantiate a `no_*` complement argument below.
																					# We do not initialize it here because the `no_*` alternative must be instantiated after the real argument
																					_a     					=    copy(lowerCAmelCase_ )

																					# Hack because type=bool in argparse does not behave as we want.
																					_a     					=    string_to_bool
																					if field.type is bool or (field.default is not None and field.default is not dataclasses.MISSING):
																												# Default value is False if we have no default when of type bool.
																												_a     					=    False if field.default is dataclasses.MISSING else field.default
																												# This is the value that will get picked if we don't include --field_name in any way
																												_a     					=    default
																												# This tells argparse we accept 0 or 1 value after --field_name
																												_a     					=    '''?'''
																												# This is the value that will get picked if we do --field_name (without value)
																												_a     					=    True
														elif isclass(lowerCAmelCase_ ) and issubclass(lowerCAmelCase_							,      lowerCAmelCase_ ):
																					_a     					=    field.type.__args__[0]
																					_a     					=    '''+'''
																					if field.default_factory is not dataclasses.MISSING:
																												_a     					=    field.default_factory()
																					elif field.default is dataclasses.MISSING:
																												_a     					=    True
														else:
																					_a     					=    field.type
																					if field.default is not dataclasses.MISSING:
																												_a     					=    field.default
																					elif field.default_factory is not dataclasses.MISSING:
																												_a     					=    field.default_factory()
																					else:
																												_a     					=    True
														parser.add_argument(lowerCAmelCase_							,      *lowerCAmelCase_							,      **lowerCAmelCase_ )

														# Add a complement `no_*` argument for a boolean field AFTER the initial field has already been added.
														# Order is important for arguments with the same destination!
														# We use a copy of earlier kwargs because the original kwargs have changed a lot before reaching down
														# here and we do not need those changes/additional keys.
														if field.default is True and (field.type is bool or field.type == Optional[bool]):
																					_a     					=    False
																					parser.add_argument(F'--no_{field.name}'							,      action='''store_false'''							,      dest=field.name							,      **lowerCAmelCase_ )







							def        __lowerCAmelCase      (  self	:  int							,      lowerCAmelCase_	:  DataClassType )      ->							List[Any]:


														"""simple docstring"""


														if hasattr(lowerCAmelCase_							,      '''_argument_group_name''' ):
																					_a     					=    self.add_argument_group(dtype._argument_group_name )
														else:
																					_a     					=    self

														try:
																					_a     					=    get_type_hints(lowerCAmelCase_ )
														except NameError:
																					raise RuntimeError(
																					    F'Type resolution failed for {dtype}. Try declaring the class in global scope or '
																					    '''removing line of `from __future__ import annotations` which opts in Postponed '''
																					    '''Evaluation of Annotations (PEP 563)''' )
														except TypeError as ex:
																					# Remove this block when we drop Python 3.9 support
																					if sys.version_info[:2] < (3, 10) and "unsupported operand type(s) for |" in str(lowerCAmelCase_ ):
																												_a     					=    '''.'''.join(map(lowerCAmelCase_							,      sys.version_info[:3] ) )
																												raise RuntimeError(
																												    F'Type resolution failed for {dtype} on Python {python_version}. Try removing '
																												    '''line of `from __future__ import annotations` which opts in union types as '''
																												    '''`X | Y` (PEP 604) via Postponed Evaluation of Annotations (PEP 563). To '''
																												    '''support Python versions that lower than 3.10, you need to use '''
																												    '''`typing.Union[X, Y]` instead of `X | Y` and `typing.Optional[X]` instead of '''
																												    '''`X | None`.''' ) from ex
																					raise

														for field in dataclasses.fields(lowerCAmelCase_ ):
																					if not field.init:
																												continue
																					_a     					=    type_hints[field.name]
																					self._parse_dataclass_field(lowerCAmelCase_							,      lowerCAmelCase_ )







							def        __lowerCAmelCase      (  self	:  int							,      lowerCAmelCase_	:  Dict=None							,      lowerCAmelCase_	:  Optional[Any]=False							,      lowerCAmelCase_	:  Any=True							,      lowerCAmelCase_	:  int=None							,      lowerCAmelCase_	:  Optional[Any]=None							,      )      ->							Tuple[DataClass, ...]:


														"""simple docstring"""


														if args_file_flag or args_filename or (look_for_args_file and len(sys.argv )):
																					_a     					=    []

																					if args_filename:
																												args_files.append(Path(lowerCAmelCase_ ) )
																					elif look_for_args_file and len(sys.argv ):
																												args_files.append(Path(sys.argv[0] ).with_suffix('''.args''' ) )

																					# args files specified via command line flag should overwrite default args files so we add them last
																					if args_file_flag:
																												# Create special parser just to extract the args_file_flag values
																												_a     					=    ArgumentParser()
																												args_file_parser.add_argument(lowerCAmelCase_							,      type=lowerCAmelCase_							,      action='''append''' )

																												# Use only remaining args for further parsing (remove the args_file_flag)
																												_a					,							_a     					=    args_file_parser.parse_known_args(args=lowerCAmelCase_ )
																												_a     					=    vars(lowerCAmelCase_ ).get(args_file_flag.lstrip('''-''' )							,      lowerCAmelCase_ )

																												if cmd_args_file_paths:
																																			args_files.extend([Path(lowerCAmelCase_ ) for p in cmd_args_file_paths] )

																					_a     					=    []
																					for args_file in args_files:
																												if args_file.exists():
																																			file_args += args_file.read_text().split()

            # in case of duplicate arguments the last one has precedence
            # args specified via the command line should overwrite args from files, so we add them last
																					_a     					=    file_args + args if args is not None else file_args + sys.argv[1:]
														_a					,							_a     					=    self.parse_known_args(args=lowerCAmelCase_ )
														_a     					=    []
														for dtype in self.dataclass_types:
																					_a     					=    {f.name for f in dataclasses.fields(lowerCAmelCase_ ) if f.init}
																					_a     					=    {k: v for k, v in vars(lowerCAmelCase_ ).items() if k in keys}
																					for k in keys:
																												delattr(lowerCAmelCase_							,      lowerCAmelCase_ )
																					_a     					=    dtype(**lowerCAmelCase_ )
																					outputs.append(lowerCAmelCase_ )
														if len(namespace.__dict__ ) > 0:
																					# additional namespace.
																					outputs.append(lowerCAmelCase_ )
														if return_remaining_strings:
																					return (*outputs, remaining_args)
														else:
																					if remaining_args:
																												raise ValueError(F'Some specified arguments are not used by the HfArgumentParser: {remaining_args}' )

																					return (*outputs,)







							def        __lowerCAmelCase      (  self	:  List[str]							,      lowerCAmelCase_	:  Dict[str, Any]							,      lowerCAmelCase_	:  bool = False )      ->							Tuple[DataClass, ...]:


														"""simple docstring"""


														_a     					=    set(args.keys() )
														_a     					=    []
														for dtype in self.dataclass_types:
																					_a     					=    {f.name for f in dataclasses.fields(lowerCAmelCase_ ) if f.init}
																					_a     					=    {k: v for k, v in args.items() if k in keys}
																					unused_keys.difference_update(inputs.keys() )
																					_a     					=    dtype(**lowerCAmelCase_ )
																					outputs.append(lowerCAmelCase_ )
														if not allow_extra_keys and unused_keys:
																					raise ValueError(F'Some keys are not used by the HfArgumentParser: {sorted(lowerCAmelCase_ )}' )
														return tuple(lowerCAmelCase_ )







							def        __lowerCAmelCase      (  self	:  List[str]							,      lowerCAmelCase_	:  str							,      lowerCAmelCase_	:  bool = False )      ->							Tuple[DataClass, ...]:


														"""simple docstring"""


														with open(Path(lowerCAmelCase_ )							,      encoding='''utf-8''' ) as open_json_file:
																					_a     					=    json.loads(open_json_file.read() )
														_a     					=    self.parse_dict(lowerCAmelCase_							,      allow_extra_keys=lowerCAmelCase_ )
														return tuple(lowerCAmelCase_ )







							def        __lowerCAmelCase      (  self	:  Any							,      lowerCAmelCase_	:  str							,      lowerCAmelCase_	:  bool = False )      ->							Tuple[DataClass, ...]:


														"""simple docstring"""


														_a     					=    self.parse_dict(yaml.safe_load(Path(lowerCAmelCase_ ).read_text() )							,      allow_extra_keys=lowerCAmelCase_ )
														return tuple(lowerCAmelCase_ )







'''simple docstring'''


import argparse
from collections import defaultdict

import yaml


_snake_case				:				int       							=		'docs/source/en/_toctree.yml'
def 		snake_case_   (UpperCamelCase	:  Optional[int]				):





							'''simple docstring'''


							_a     					=    defaultdict(UpperCamelCase				)
							for doc in model_doc:
														counts[doc["local"]] += 1
							_a     					=    [key for key, value in counts.items() if value > 1]

							_a     					=    []
							for duplicate_key in duplicates:
														_a     					=    list({doc['''title'''] for doc in model_doc 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 model_doc if counts[doc['''local''']] == 1]				)

							# Sort
							return sorted(UpperCamelCase			,						key=lambda UpperCamelCase				: s["title"].lower()				)
def 		snake_case_   (UpperCamelCase	:  str=False				):





							'''simple docstring'''


							with open(UpperCamelCase			,						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[model_idx]["title"] != "Models":
														model_idx += 1

							_a     					=    api_doc[model_idx]['''sections''']

							_a     					=    [(idx, section) for idx, section in enumerate(UpperCamelCase				) if '''sections''' in section]
							_a     					=    False
							for idx, modality_doc in modalities_docs:
														_a     					=    modality_doc['''sections''']
														_a     					=    clean_model_doc_toc(UpperCamelCase				)

														if old_modality_doc != new_modality_doc:
																					_a     					=    True
																					if overwrite:
																												_a     					=    new_modality_doc

							if diff:
														if overwrite:
																					_a     					=    model_doc
																					_a     					=    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__":
				_snake_case				:				List[str]       							=		argparse.ArgumentParser()
				parser.add_argument('--fix_and_overwrite', action='store_true', help='Whether to fix inconsistencies.')
				_snake_case				:				List[Any]       							=		parser.parse_args()

				check_model_doc(args.fix_and_overwrite)

