






"""simple docstring"""


from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


_UpperCamelCase    :   Union[str, Any]   			=						logging.get_logger(__name__)

_UpperCamelCase    :   Dict   			=						{
    'andreasmadsen/efficient_mlm_m0.40': (
        'https://huggingface.co/andreasmadsen/efficient_mlm_m0.40/resolve/main/config.json'
    ),
}






class 						snake_case  (  UpperCAmelCase	):
    __magic_name__   					=					'''roberta-prelayernorm'''





    def __init__(							self     : str    ,		A     : Dict=5_0_2_6_5    ,		A     : str=7_6_8    ,		A     : int=1_2    ,		A     : int=1_2    ,		A     : Optional[Any]=3_0_7_2    ,		A     : Any="gelu"    ,		A     : List[Any]=0.1    ,		A     : int=0.1    ,		A     : str=5_1_2    ,		A     : List[str]=2    ,		A     : Optional[int]=0.02    ,		A     : Union[str, Any]=1E-12    ,		A     : List[Any]=1    ,		A     : List[Any]=0    ,		A     : Union[str, Any]=2    ,		A     : int="absolute"    ,		A     : str=True    ,		A     : Dict=None    ,		**A     : int    ,		):


      '''simple docstring'''




      super().__init__(pad_token_id=_SCREAMING_SNAKE_CASE    ,		bos_token_id=_SCREAMING_SNAKE_CASE    ,		eos_token_id=_SCREAMING_SNAKE_CASE    ,		**_SCREAMING_SNAKE_CASE      )

      a					:      List[str]    =       vocab_size
      a					:      Optional[int]    =       hidden_size
      a					:      Union[str, Any]    =       num_hidden_layers
      a					:      Dict    =       num_attention_heads
      a					:      str    =       hidden_act
      a					:      Optional[Any]    =       intermediate_size
      a					:      Any    =       hidden_dropout_prob
      a					:      str    =       attention_probs_dropout_prob
      a					:      List[str]    =       max_position_embeddings
      a					:      int    =       type_vocab_size
      a					:      Any    =       initializer_range
      a					:      Optional[Any]    =       layer_norm_eps
      a					:      List[Any]    =       position_embedding_type
      a					:      Optional[Any]    =       use_cache
      a					:      List[Any]    =       classifier_dropout






class 						snake_case  (  UpperCAmelCase	):





    @property
    def     lowerCamelCase__				(							self     : Tuple      ):


      '''simple docstring'''




      if self.task == "multiple-choice":
        a					:      int    =       {0: '''batch''', 1: '''choice''', 2: '''sequence'''}
      else:
        a					:      str    =       {0: '''batch''', 1: '''sequence'''}
      return OrderedDict(
          [
              ('input_ids', dynamic_axis),
              ('attention_mask', dynamic_axis),
          ]      )












"""simple docstring"""


import argparse
import os
import re

import packaging.version


_UpperCamelCase    :   Optional[Any]   			=						'examples/'
_UpperCamelCase    :   Any   			=						{
    'examples': (re.compile(r'^check_min_version\("[^"]+"\)\s*$', re.MULTILINE), 'check_min_version("VERSION")\n'),
    'init': (re.compile(r'^__version__\s+=\s+"([^"]+)"\s*$', re.MULTILINE), '__version__ = "VERSION"\n'),
    'setup': (re.compile(r'^(\s*)version\s*=\s*"[^"]+",', re.MULTILINE), r'\1version="VERSION",'),
    'doc': (re.compile(r'^(\s*)release\s*=\s*"[^"]+"$', re.MULTILINE), 'release = "VERSION"\n'),
}
_UpperCamelCase    :   List[str]   			=						{
    'init': 'src/diffusers/__init__.py',
    'setup': 'setup.py',
}
_UpperCamelCase    :   List[str]   			=						'README.md'




def       snake_case  (A_				:str     ,      A_				:Optional[Any]     ,      A_				:Any				):







  '''simple docstring'''

  with open(A_     ,      'r'     ,      encoding='utf-8'     ,      newline='\n'				) as f:
    a					:      Tuple    =       f.read()
  a,					a					:      Any    =       REPLACE_PATTERNS[pattern]
  a					:      Dict    =       replace.replace('VERSION'     ,      A_				)
  a					:      Union[str, Any]    =       re_pattern.sub(A_     ,      A_				)
  with open(A_     ,      'w'     ,      encoding='utf-8'     ,      newline='\n'				) as f:
    f.write(A_				)




def       snake_case  (A_				:List[Any]				):







  '''simple docstring'''

  for folder, directories, fnames in os.walk(A_				):
    # Removing some of the folders with non-actively maintained examples from the walk
    if "research_projects" in directories:
      directories.remove('research_projects'				)
    if "legacy" in directories:
      directories.remove('legacy'				)
    for fname in fnames:
      if fname.endswith('.py'				):
        update_version_in_file(os.path.join(A_     ,      A_				)     ,      A_     ,      pattern='examples'				)




def       snake_case  (A_				:Tuple     ,      A_				:Optional[Any]=False				):







  '''simple docstring'''

  for pattern, fname in REPLACE_FILES.items():
    update_version_in_file(A_     ,      A_     ,      A_				)
  if not patch:
    update_version_in_examples(A_				)




def       snake_case  ():







  '''simple docstring'''

  a					:      str    =       '🤗 Transformers currently provides the following architectures'
  a					:      Dict    =       '1. Want to contribute a new model?'
  with open(A_     ,      'r'     ,      encoding='utf-8'     ,      newline='\n'				) as f:
    a					:      Optional[Any]    =       f.readlines()

  # Find the start of the list.
  a					:      List[str]    =       0
  while not lines[start_index].startswith(_start_prompt				):
    start_index += 1
  start_index += 1

  a					:      Optional[Any]    =       start_index
  # Update the lines in the model list.
  while not lines[index].startswith(_end_prompt				):
    if lines[index].startswith('1.'				):
      a					:      int    =       lines[index].replace(
          'https://huggingface.co/docs/diffusers/main/model_doc'     ,      'https://huggingface.co/docs/diffusers/model_doc'     ,      )
    index += 1

  with open(A_     ,      'w'     ,      encoding='utf-8'     ,      newline='\n'				) as f:
    f.writelines(A_				)




def       snake_case  ():







  '''simple docstring'''

  with open(REPLACE_FILES['init']     ,      'r'				) as f:
    a					:      List[str]    =       f.read()
  a					:      str    =       REPLACE_PATTERNS['init'][0].search(A_				).groups()[0]
  return packaging.version.parse(A_				)




def       snake_case  (A_				:Optional[Any]=False				):







  '''simple docstring'''

  a					:      Optional[int]    =       get_version()
  if patch and default_version.is_devrelease:
    raise ValueError('Can\'t create a patch version from the dev branch, checkout a released version!'				)
  if default_version.is_devrelease:
    a					:      Tuple    =       default_version.base_version
  elif patch:
    a					:      Union[str, Any]    =       f'''{default_version.major}.{default_version.minor}.{default_version.micro + 1}'''
  else:
    a					:      Optional[Any]    =       f'''{default_version.major}.{default_version.minor + 1}.0'''

  # Now let's ask nicely if that's the right one.
  a					:      Union[str, Any]    =       input(f'''Which version are you releasing? [{default_version}]'''				)
  if len(A_				) == 0:
    a					:      int    =       default_version

  print(f'''Updating version to {version}.'''				)
  global_version_update(A_     ,      patch=A_				)




def       snake_case  ():







  '''simple docstring'''

  a					:      str    =       get_version()
  a					:      Optional[int]    =       f'''{current_version.major}.{current_version.minor + 1}.0.dev0'''
  a					:      Optional[int]    =       current_version.base_version

  # Check with the user we got that right.
  a					:      str    =       input(f'''Which version are we developing now? [{dev_version}]'''				)
  if len(A_				) == 0:
    a					:      Union[str, Any]    =       dev_version

  print(f'''Updating version to {version}.'''				)
  global_version_update(A_				)


#    print("Cleaning main README, don't forget to run `make fix-copies`.")
#    clean_main_ref_in_model_list()


if __name__ == "__main__":
   _UpperCamelCase    :   Dict   			=						argparse.ArgumentParser()
   parser.add_argument('--post_release', action='store_true', help='Whether this is pre or post release.')
   parser.add_argument('--patch', action='store_true', help='Whether or not this is a patch release.')
   _UpperCamelCase    :   Optional[Any]   			=						parser.parse_args()
   if not args.post_release:
      pre_release_work(patch=args.patch)
   elif args.patch:
      print('Nothing to do after a patch :-)')
   else:
      post_release_work()




