


import argparse
from collections import defaultdict

import yaml


__a     =			"""docs/source/en/_toctree.yml"""
def   _UpperCamelCase				(						lowerCAmelCase_   )						->Union[str, Any]:
   UpperCAmelCase							=     defaultdict(snake_case__   )
   for doc in model_doc:
      counts[doc["local"]] += 1
   UpperCAmelCase							=     [key for key, value in counts.items() if value > 1]

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

   # Sort
   return sorted(snake_case__  ,						key=lambda lowerCAmelCase_   : s["title"].lower()   )
def   _UpperCamelCase				(						lowerCAmelCase_=False   )						->Optional[Any]:
   with open(snake_case__  ,						encoding="""utf-8"""   ) as f:
      UpperCAmelCase							=     yaml.safe_load(f.read()   )

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

   # Then to the model doc
   UpperCAmelCase							=     0
   while api_doc[model_idx]["title"] != "Models":
      model_idx += 1

   UpperCAmelCase							=     api_doc[model_idx]["""sections"""]

   UpperCAmelCase							=     [(idx, section) for idx, section in enumerate(snake_case__   ) if """sections""" in section]
   UpperCAmelCase							=     False
   for idx, modality_doc in modalities_docs:
      UpperCAmelCase							=     modality_doc["""sections"""]
      UpperCAmelCase							=     clean_model_doc_toc(snake_case__   )

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

   if diff:
      if overwrite:
         UpperCAmelCase							=     model_doc
         UpperCAmelCase							=     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     =			argparse.ArgumentParser()
     parser.add_argument("""--fix_and_overwrite""", action="""store_true""", help="""Whether to fix inconsistencies.""")
     __a     =			parser.parse_args()

     check_model_doc(args.fix_and_overwrite)







import pickle
import unittest

import torch

from accelerate import Accelerator
from accelerate.state import AcceleratorState
from accelerate.test_utils import require_cpu






@require_cpu
class   __lowercase				(  unittest.TestCase  ):





      def        _lowercase				(		self						:					Any       )    ->   Union[str, Any]:






         """simple docstring"""







         UpperCAmelCase							=     torch.nn.Linear(1_0					,       1_0       )
         UpperCAmelCase							=     torch.optim.SGD(model.parameters()					,       0.1       )
         UpperCAmelCase							=     Accelerator()
         UpperCAmelCase							=     accelerator.prepare(__lowerCamelCase       )
         try:
            pickle.loads(pickle.dumps(__lowerCamelCase       )       )
         except Exception as e:
            self.fail(F"""Accelerated optimizer pickling failed with {e}"""       )
         AcceleratorState._reset_state()



