

"""simple docstring"""




import argparse
import os
import re

import packaging.version


A_							:	Dict      =       '''examples/'''
A_							:	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'''),
}
A_							:	Any      =       {
    '''init''': '''src/transformers/__init__.py''',
    '''setup''': '''setup.py''',
}
A_							:	Any      =       '''README.md'''

def 		A				(   snake_case__						, snake_case__						, snake_case__			):




			'''simple docstring'''


			with open(__UpperCamelCase						, """r"""						, encoding="""utf-8"""						, newline="""\n"""			) as f:
						SCREAMING_SNAKE_CASE__									=					f.read()
			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 		A				(   snake_case__			):




			'''simple docstring'''


			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 		A				(   snake_case__						, snake_case__=False			):




			'''simple docstring'''


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

def 		A				(   ):




			'''simple docstring'''


			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/transformers/main/model_doc"""						, """https://huggingface.co/docs/transformers/model_doc"""						, )
						index += 1

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

def 		A				(   ):




			'''simple docstring'''


			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 		A				(   snake_case__=False			):




			'''simple docstring'''


			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			)
			if not patch:
						print("""Cleaning main README, don\'t forget to run `make fix-copies`."""			)
						clean_main_ref_in_model_list()

def 		A				(   ):




			'''simple docstring'''


			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__":
						A_							:	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.")
						A_							:	Optional[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()







from collections import OrderedDict
from typing import Mapping

from packaging import version

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


A__  :  int								=					logging.get_logger(__name__)

A__  :  Optional[int]								=					{
    '''facebook/data2vec-vision-base-ft''': (
        '''https://huggingface.co/facebook/data2vec-vision-base-ft/resolve/main/config.json'''
    ),
}



class 				__snake_case						(     UpperCamelCase_						):
							_a			      = '''data2vec-vision'''




							def __init__(       self     :       Tuple				,				A_     :       List[Any]=7_6_8				,				A_     :       Union[str, Any]=1_2				,				A_     :       Dict=1_2				,				A_     :       List[Any]=3_0_7_2				,				A_     :       Dict="gelu"				,				A_     :       Tuple=0.0				,				A_     :       Dict=0.0				,				A_     :       List[str]=0.02				,				A_     :       List[str]=1e-12				,				A_     :       Tuple=2_2_4				,				A_     :       Dict=1_6				,				A_     :       Optional[int]=3				,				A_     :       Optional[int]=False				,				A_     :       Any=False				,				A_     :       Tuple=False				,				A_     :       Optional[int]=False				,				A_     :       int=0.1				,				A_     :       Union[str, Any]=0.1				,				A_     :       List[Any]=True				,				A_     :       List[Any]=[3, 5, 7, 1_1]				,				A_     :       Union[str, Any]=[1, 2, 3, 6]				,				A_     :       Optional[int]=True				,				A_     :       Any=0.4				,				A_     :       str=2_5_6				,				A_     :       Optional[int]=1				,				A_     :       str=False				,				A_     :       Optional[int]=2_5_5				,				**A_     :       Optional[int]				,				):
									super().__init__(**A_)

									lowerCAmelCase_			:     str									= hidden_size
									lowerCAmelCase_			:     List[str]									= num_hidden_layers
									lowerCAmelCase_			:     Optional[Any]									= num_attention_heads
									lowerCAmelCase_			:     int									= intermediate_size
									lowerCAmelCase_			:     Union[str, Any]									= hidden_act
									lowerCAmelCase_			:     List[Any]									= hidden_dropout_prob
									lowerCAmelCase_			:     Tuple									= attention_probs_dropout_prob
									lowerCAmelCase_			:     str									= initializer_range
									lowerCAmelCase_			:     Tuple									= layer_norm_eps

									lowerCAmelCase_			:     List[Any]									= image_size
									lowerCAmelCase_			:     List[Any]									= patch_size
									lowerCAmelCase_			:     Any									= num_channels
									lowerCAmelCase_			:     Any									= use_mask_token
									lowerCAmelCase_			:     Optional[int]									= use_absolute_position_embeddings
									lowerCAmelCase_			:     str									= use_relative_position_bias
									lowerCAmelCase_			:     Optional[Any]									= use_shared_relative_position_bias
									lowerCAmelCase_			:     Dict									= layer_scale_init_value
									lowerCAmelCase_			:     Tuple									= drop_path_rate
									lowerCAmelCase_			:     Optional[int]									= use_mean_pooling
									# decode head attributes (semantic segmentation)
									lowerCAmelCase_			:     Any									= out_indices
									lowerCAmelCase_			:     int									= pool_scales
									# auxiliary head attributes (semantic segmentation)
									lowerCAmelCase_			:     Dict									= use_auxiliary_head
									lowerCAmelCase_			:     str									= auxiliary_loss_weight
									lowerCAmelCase_			:     Optional[Any]									= auxiliary_channels
									lowerCAmelCase_			:     str									= auxiliary_num_convs
									lowerCAmelCase_			:     str									= auxiliary_concat_input
									lowerCAmelCase_			:     str									= semantic_loss_ignore_index





class 				__snake_case						(     UpperCamelCase_						):
							_a			      = version.parse('''1.11'''						)




							@property
							def    UpperCAmelCase__			(       self     :       Tuple):
									return OrderedDict(
									    [
									        ('''pixel_values''', {0: '''batch''', 1: '''num_channels''', 2: '''height''', 3: '''width'''}),
									    ])







							@property
							def    UpperCAmelCase__			(       self     :       Dict):
									return 1e-4





