import argparse
import os
import re

import packaging.version


_lowerCamelCase					:   str							=		'''examples/'''
_lowerCamelCase					:   List[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'''),
}
_lowerCamelCase					:   Any							=		{
    '''init''': '''src/diffusers/__init__.py''',
    '''setup''': '''setup.py''',
}
_lowerCamelCase					:   Dict							=		'''README.md'''





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





def 	__lowerCamelCase							(UpperCAmelCase__     :							List[Any]  ):
					for folder, directories, fnames in os.walk(UpperCAmelCase__  ):
										# 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(UpperCAmelCase__      , UpperCAmelCase__  )      , UpperCAmelCase__      , pattern="examples"  )





def 	__lowerCamelCase							(UpperCAmelCase__     :							List[Any]      , UpperCAmelCase__     :							Tuple=False  ):
					for pattern, fname in REPLACE_FILES.items():
										update_version_in_file(UpperCAmelCase__      , UpperCAmelCase__      , UpperCAmelCase__  )
					if not patch:
										update_version_in_examples(UpperCAmelCase__  )





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

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

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

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





def 	__lowerCamelCase							():
					with open(REPLACE_FILES["init"]      , "r"  ) as f:
										SCREAMING_SNAKE_CASE    			=       f.read()
					SCREAMING_SNAKE_CASE    			=       REPLACE_PATTERNS["init"][0].search(UpperCAmelCase__  ).groups()[0]
					return packaging.version.parse(UpperCAmelCase__  )





def 	__lowerCamelCase							(UpperCAmelCase__     :							str=False  ):
					SCREAMING_SNAKE_CASE    			=       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:
										SCREAMING_SNAKE_CASE    			=       default_version.base_version
					elif patch:
										SCREAMING_SNAKE_CASE    			=       F"{default_version.major}.{default_version.minor}.{default_version.micro + 1}"
					else:
										SCREAMING_SNAKE_CASE    			=       F"{default_version.major}.{default_version.minor + 1}.0"

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

					print(F"Updating version to {version}."  )
					global_version_update(UpperCAmelCase__      , patch=UpperCAmelCase__  )





def 	__lowerCamelCase							():
					SCREAMING_SNAKE_CASE    			=       get_version()
					SCREAMING_SNAKE_CASE    			=       F"{current_version.major}.{current_version.minor + 1}.0.dev0"
					SCREAMING_SNAKE_CASE    			=       current_version.base_version

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

					print(F"Updating version to {version}."  )
					global_version_update(UpperCAmelCase__  )


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


if __name__ == "__main__":
							_lowerCamelCase					:   int							=		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					:   str							=		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()



from __future__ import annotations

from typing import Dict

from ...configuration_utils import PretrainedConfig


_lowerCamelCase					:   Tuple							=		{
    '''susnato/ernie-m-base_pytorch''': '''https://huggingface.co/susnato/ernie-m-base_pytorch/blob/main/config.json''',
    '''susnato/ernie-m-large_pytorch''': '''https://huggingface.co/susnato/ernie-m-large_pytorch/blob/main/config.json''',
}


class 						lowercase    (     a     ):
							lowercase__						:       Optional[Any]								=							"""ernie_m"""
							lowercase__						:       Dict[str, str]								=							{"dropout": "classifier_dropout", "num_classes": "num_labels"}




							def __init__(						self   :					Optional[int]	,							_UpperCamelCase   :					int = 250_002	,							_UpperCamelCase   :					int = 768	,							_UpperCamelCase   :					int = 12	,							_UpperCamelCase   :					int = 12	,							_UpperCamelCase   :					int = 3_072	,							_UpperCamelCase   :					str = "gelu"	,							_UpperCamelCase   :					float = 0.1	,							_UpperCamelCase   :					float = 0.1	,							_UpperCamelCase   :					int = 514	,							_UpperCamelCase   :					float = 0.0_2	,							_UpperCamelCase   :					int = 1	,							_UpperCamelCase   :					float = 1e-05	,							_UpperCamelCase   :					int=None	,							_UpperCamelCase   :					int=False	,							_UpperCamelCase   :					int=0.0	,							**_UpperCamelCase   :					Union[str, Any]	,							)					->				Optional[Any]:



												'''simple docstring'''

												super().__init__(pad_token_id=_UpperCamelCase	,							**_UpperCamelCase      )
												SCREAMING_SNAKE_CASE    			=       vocab_size
												SCREAMING_SNAKE_CASE    			=       hidden_size
												SCREAMING_SNAKE_CASE    			=       num_hidden_layers
												SCREAMING_SNAKE_CASE    			=       num_attention_heads
												SCREAMING_SNAKE_CASE    			=       intermediate_size
												SCREAMING_SNAKE_CASE    			=       hidden_act
												SCREAMING_SNAKE_CASE    			=       hidden_dropout_prob
												SCREAMING_SNAKE_CASE    			=       attention_probs_dropout_prob
												SCREAMING_SNAKE_CASE    			=       max_position_embeddings
												SCREAMING_SNAKE_CASE    			=       initializer_range
												SCREAMING_SNAKE_CASE    			=       layer_norm_eps
												SCREAMING_SNAKE_CASE    			=       classifier_dropout
												SCREAMING_SNAKE_CASE    			=       is_decoder
												SCREAMING_SNAKE_CASE    			=       act_dropout




