'''simple docstring'''

import argparse
from collections import defaultdict

import yaml


_A			:      str					      =				"docs/source/en/_toctree.yml"







def      UpperCamelCase_						(					snake_case_       :       Union[str, Any]      )					->     Tuple:






 '''simple docstring'''

 __lowerCAmelCase											=						defaultdict(_snake_case      )
 __lowerCAmelCase											=						[]
 __lowerCAmelCase											=						[]
 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      )

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

 __lowerCAmelCase											=						[]
 for duplicate_key in duplicates:
  __lowerCAmelCase											=						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]      )
 __lowerCAmelCase											=						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      UpperCamelCase_						(					snake_case_       :       Optional[int]=False      )					->     Optional[int]:






 '''simple docstring'''

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

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

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

 __lowerCAmelCase											=						api_doc[scheduler_idx]["""sections"""]
 __lowerCAmelCase											=						clean_doc_toc(_snake_case      )

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

 if diff:
  if overwrite:
   __lowerCAmelCase											=						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      UpperCamelCase_						(					snake_case_       :       Optional[Any]=False      )					->     List[str]:






 '''simple docstring'''

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

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

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

 __lowerCAmelCase											=						False
 __lowerCAmelCase											=						api_doc[pipeline_idx]["""sections"""]
 __lowerCAmelCase											=						[]

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

 # sort overall pipeline doc
 __lowerCAmelCase											=						clean_doc_toc(_snake_case      )

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

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

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









from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_sentencepiece_available,
    is_tokenizers_available,
    is_torch_available,
)


_lowerCAmelCase					:			Tuple  				=			{
    "configuration_llama": ["LLAMA_PRETRAINED_CONFIG_ARCHIVE_MAP", "LlamaConfig"],
}

try:
						if not is_sentencepiece_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						_lowerCAmelCase					:			Optional[int]  				=			["LlamaTokenizer"]

try:
						if not is_tokenizers_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						_lowerCAmelCase					:			Optional[int]  				=			["LlamaTokenizerFast"]

try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						_lowerCAmelCase					:			List[Any]  				=			[
						    "LlamaForCausalLM",
						    "LlamaModel",
						    "LlamaPreTrainedModel",
						    "LlamaForSequenceClassification",
						]


if TYPE_CHECKING:
						from .configuration_llama import LLAMA_PRETRAINED_CONFIG_ARCHIVE_MAP, LlamaConfig

						try:
												if not is_sentencepiece_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .tokenization_llama import LlamaTokenizer

						try:
												if not is_tokenizers_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .tokenization_llama_fast import LlamaTokenizerFast

						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_llama import LlamaForCausalLM, LlamaForSequenceClassification, LlamaModel, LlamaPreTrainedModel


else:
						import sys

						_lowerCAmelCase					:			int  				=			_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)






