





import argparse
import os
import re

import packaging.version


lowerCAmelCase_     =     "examples/"
lowerCAmelCase_     =     {
    "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"),
}
lowerCAmelCase_     =     {
    "init": "src/transformers/__init__.py",
    "setup": "setup.py",
}
lowerCAmelCase_     =     "README.md"


def      lowerCamelCase_						(   lowerCAmelCase:						Optional[Any]     ,				lowerCAmelCase:						int     ,				lowerCAmelCase:						Union[str, Any]					)->		List[Any]:

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


def      lowerCamelCase_						(   lowerCAmelCase:						Tuple					)->		Union[str, Any]:

  for folder, directories, fnames in os.walk(SCREAMING_SNAKE_CASE__					):
    # 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(SCREAMING_SNAKE_CASE__     ,				SCREAMING_SNAKE_CASE__					)     ,				SCREAMING_SNAKE_CASE__     ,				pattern='examples'					)


def      lowerCamelCase_						(   lowerCAmelCase:						Any     ,				lowerCAmelCase:						str=False					)->		Union[str, Any]:

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


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

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

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

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


def      lowerCamelCase_						(   )->		Tuple:

  with open(REPLACE_FILES['init']     ,				'r'					) as f:
    _snake_case :					Union[str, Any]								=						f.read()
  _snake_case :					str								=						REPLACE_PATTERNS["init"][0].search(SCREAMING_SNAKE_CASE__					).groups()[0]
  return packaging.version.parse(SCREAMING_SNAKE_CASE__					)


def      lowerCamelCase_						(   lowerCAmelCase:						Union[str, Any]=False					)->		Tuple:
  _snake_case :					Dict								=						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:
    _snake_case :					List[str]								=						default_version.base_version
  elif patch:
    _snake_case :					Any								=						F"""{default_version.major}.{default_version.minor}.{default_version.micro + 1}"""
  else:
    _snake_case :					Optional[Any]								=						F"""{default_version.major}.{default_version.minor + 1}.0"""

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

  print(F"""Updating version to {version}."""					)
  global_version_update(SCREAMING_SNAKE_CASE__     ,				patch=SCREAMING_SNAKE_CASE__					)
  if not patch:
    print('Cleaning main README, don\'t forget to run `make fix-copies`.'					)
    clean_main_ref_in_model_list()


def      lowerCamelCase_						(   )->		Optional[int]:
  _snake_case :					Any								=						get_version()
  _snake_case :					Tuple								=						F"""{current_version.major}.{current_version.minor + 1}.0.dev0"""
  _snake_case :					Union[str, Any]								=						current_version.base_version

  # Check with the user we got that right.
  _snake_case :					List[Any]								=						input(F"""Which version are we developing now? [{dev_version}]"""					)
  if len(SCREAMING_SNAKE_CASE__					) == 0:
    _snake_case :					int								=						dev_version

  print(F"""Updating version to {version}."""					)
  global_version_update(SCREAMING_SNAKE_CASE__					)
  print('Cleaning main README, don\'t forget to run `make fix-copies`.'					)
  clean_main_ref_in_model_list()


if __name__ == "__main__":
      lowerCAmelCase_     =     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.""")
      lowerCAmelCase_     =     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()









"""simple docstring"""




from collections import OrderedDict
from typing import Mapping

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


_lowerCAmelCase							:   Optional[int]				=				logging.get_logger(__name__)

_lowerCAmelCase							:   Any				=				{
    "roberta-base": "https://huggingface.co/roberta-base/resolve/main/config.json",
    "roberta-large": "https://huggingface.co/roberta-large/resolve/main/config.json",
    "roberta-large-mnli": "https://huggingface.co/roberta-large-mnli/resolve/main/config.json",
    "distilroberta-base": "https://huggingface.co/distilroberta-base/resolve/main/config.json",
    "roberta-base-openai-detector": "https://huggingface.co/roberta-base-openai-detector/resolve/main/config.json",
    "roberta-large-openai-detector": "https://huggingface.co/roberta-large-openai-detector/resolve/main/config.json",
}






class       UpperCAmelCase_    (							_UpperCamelCase		):
      __SCREAMING_SNAKE_CASE		:  Optional[int]						=					'roberta'



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

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







class       UpperCAmelCase_    (							_UpperCamelCase		):



      @property
      def 		snake_case_   (	self	:      Tuple		):
           if self.task == "multiple-choice":
                _UpperCAmelCase     :      Optional[Any]														=       {0: "batch", 1: "choice", 2: "sequence"}
           else:
                _UpperCAmelCase     :      List[Any]														=       {0: "batch", 1: "sequence"}
           return OrderedDict(
               [
                   ("input_ids", dynamic_axis),
                   ("attention_mask", dynamic_axis),
               ]		)
