





'''simple docstring'''


from collections import OrderedDict
from typing import Mapping

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


lowerCAmelCase_   :   Any       =					logging.get_logger(__name__)

lowerCAmelCase_   :   int       =					{
    "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__  (		__lowerCAmelCase     ):
 lowerCAmelCase__					:			List[str]								=						"roberta"







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




    '''simple docstring'''
    super().__init__(pad_token_id=lowerCamelCase , bos_token_id=lowerCamelCase , eos_token_id=lowerCamelCase , **lowerCamelCase		)

    a__     = vocab_size
    a__     = hidden_size
    a__     = num_hidden_layers
    a__     = num_attention_heads
    a__     = hidden_act
    a__     = intermediate_size
    a__     = hidden_dropout_prob
    a__     = attention_probs_dropout_prob
    a__     = max_position_embeddings
    a__     = type_vocab_size
    a__     = initializer_range
    a__     = layer_norm_eps
    a__     = position_embedding_type
    a__     = use_cache
    a__     = classifier_dropout






class       UpperCamelCase__  (		__lowerCAmelCase     ):







 @property
 def 						__a   (				self			:   List[Any]		):




    '''simple docstring'''
    if self.task == "multiple-choice":
       a__     = {0: "batch", 1: "choice", 2: "sequence"}
    else:
       a__     = {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


lowerCAmelCase_   :   Optional[int]       =					"examples/"
lowerCAmelCase_   :   Optional[int]       =					{
    "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_   :   Optional[int]       =					{
    "init": "src/transformers/__init__.py",
    "setup": "setup.py",
}
lowerCAmelCase_   :   List[Any]       =					"README.md"







def    _lowerCamelCase  (__lowerCamelCase  :     Dict					,  __lowerCamelCase  :     List[Any]					,  __lowerCamelCase  :     Optional[Any]     )   ->    str:
			with open(__lowerCamelCase					,  "r"					,  encoding="utf-8"					,  newline="\n"     ) as f:
						a__     = f.read()
			a__   ,				a__     = REPLACE_PATTERNS[pattern]
			a__     = replace.replace("VERSION"					,  __lowerCamelCase     )
			a__     = re_pattern.sub(__lowerCamelCase					,  __lowerCamelCase     )
			with open(__lowerCamelCase					,  "w"					,  encoding="utf-8"					,  newline="\n"     ) as f:
						f.write(__lowerCamelCase     )







def    _lowerCamelCase  (__lowerCamelCase  :     Union[str, Any]     )   ->    Dict:
			for folder, directories, fnames in os.walk(__lowerCamelCase     ):
						# 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(__lowerCamelCase					,  __lowerCamelCase     )					,  __lowerCamelCase					,  pattern="examples"     )







def    _lowerCamelCase  (__lowerCamelCase  :     int					,  __lowerCamelCase  :     Any=False     )   ->    Optional[Any]:
			for pattern, fname in REPLACE_FILES.items():
						update_version_in_file(__lowerCamelCase					,  __lowerCamelCase					,  __lowerCamelCase     )
			if not patch:
						update_version_in_examples(__lowerCamelCase     )







def    _lowerCamelCase  ()   ->    Tuple:
			a__     = "🤗 Transformers currently provides the following architectures"
			a__     = "1. Want to contribute a new model?"
			with open(__lowerCamelCase					,  "r"					,  encoding="utf-8"					,  newline="\n"     ) as f:
						a__     = f.readlines()

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

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

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







def    _lowerCamelCase  ()   ->    Tuple:
			with open(REPLACE_FILES["init"]					,  "r"     ) as f:
						a__     = f.read()
			a__     = REPLACE_PATTERNS["init"][0].search(__lowerCamelCase     ).groups()[0]
			return packaging.version.parse(__lowerCamelCase     )







def    _lowerCamelCase  (__lowerCamelCase  :     Any=False     )   ->    int:
			a__     = 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__     = default_version.base_version
			elif patch:
						a__     = f'''{default_version.major}.{default_version.minor}.{default_version.micro + 1}'''
			else:
						a__     = f'''{default_version.major}.{default_version.minor + 1}.0'''

			# Now let's ask nicely if that's the right one.
			a__     = input(f'''Which version are you releasing? [{default_version}]'''     )
			if len(__lowerCamelCase     ) == 0:
						a__     = default_version

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







def    _lowerCamelCase  ()   ->    Tuple:
			a__     = get_version()
			a__     = f'''{current_version.major}.{current_version.minor + 1}.0.dev0'''
			a__     = current_version.base_version

			# Check with the user we got that right.
			a__     = input(f'''Which version are we developing now? [{dev_version}]'''     )
			if len(__lowerCamelCase     ) == 0:
						a__     = dev_version

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


if __name__ == "__main__":
		lowerCAmelCase_   :   List[str]       =					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_   :   int       =					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()



