import argparse
import os
import re

import packaging.version


lowerCamelCase_							:						int					=			"""examples/"""
lowerCamelCase_							:						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_							:						str					=			{
    """init""": """src/transformers/__init__.py""",
    """setup""": """setup.py""",
}
lowerCamelCase_							:						Union[str, Any]					=			"""README.md"""
def 				lowerCAmelCase(      __lowerCamelCase ,							__lowerCamelCase ,							__lowerCamelCase		):

					with open(lowercase_ ,							'r' ,							encoding='utf-8' ,							newline='\n'		) as f:
										__a						   =  f.read()
					__a						   =  REPLACE_PATTERNS[pattern]
					__a						   =  replace.replace('VERSION' ,							lowercase_		)
					__a						   =  re_pattern.sub(lowercase_ ,							lowercase_		)
					with open(lowercase_ ,							'w' ,							encoding='utf-8' ,							newline='\n'		) as f:
										f.write(lowercase_		)
def 				lowerCAmelCase(      __lowerCamelCase		):

					for folder, directories, fnames in os.walk(lowercase_		):
										# 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(lowercase_ ,							lowercase_		) ,							lowercase_ ,							pattern='examples'		)
def 				lowerCAmelCase(      __lowerCamelCase ,							__lowerCamelCase=False		):

					for pattern, fname in REPLACE_FILES.items():
										update_version_in_file(lowercase_ ,							lowercase_ ,							lowercase_		)
					if not patch:
										update_version_in_examples(lowercase_		)
def 				lowerCAmelCase(      ):
					__a						   =  "🤗 Transformers currently provides the following architectures"
					__a						   =  "1. Want to contribute a new model?"
					with open(lowercase_ ,							'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(lowercase_ ,							'w' ,							encoding='utf-8' ,							newline='\n'		) as f:
										f.writelines(lowercase_		)
def 				lowerCAmelCase(      ):

					with open(REPLACE_FILES['init'] ,							'r'		) as f:
										__a						   =  f.read()
					__a						   =  REPLACE_PATTERNS["init"][0].search(lowercase_		).groups()[0]
					return packaging.version.parse(lowercase_		)
def 				lowerCAmelCase(      __lowerCamelCase=False		):
					__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(lowercase_		) == 0:
										__a						   =  default_version

					print(f'''Updating version to {version}.'''		)
					global_version_update(lowercase_ ,							patch=lowercase_		)
					if not patch:
										print('Cleaning main README, don\'t forget to run `make fix-copies`.'		)
										clean_main_ref_in_model_list()
def 				lowerCAmelCase(      ):
					__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(lowercase_		) == 0:
										__a						   =  dev_version

					print(f'''Updating version to {version}.'''		)
					global_version_update(lowercase_		)
					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_							:						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()











"""simple docstring"""


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


lowerCamelCase__						= logging.get_logger(__name__)

lowerCamelCase__						= {
    "google/mobilenet_v1_1.0_224": "https://huggingface.co/google/mobilenet_v1_1.0_224/resolve/main/config.json",
    "google/mobilenet_v1_0.75_192": "https://huggingface.co/google/mobilenet_v1_0.75_192/resolve/main/config.json",
    # See all MobileNetV1 models at https://huggingface.co/models?filter=mobilenet_v1
}



class   __SCREAMING_SNAKE_CASE     (    _UpperCamelCase ):







  '''simple docstring'''


  SCREAMING_SNAKE_CASE__				:int						  =       "mobilenet_v1"

  def __init__(		self :							Optional[int]       , __a :							List[str]=3       , __a :							Union[str, Any]=224       , __a :							Tuple=1.0       , __a :							List[Any]=8       , __a :							Union[str, Any]="relu6"       , __a :							Dict=True       , __a :							Tuple=0.9_99       , __a :							Dict=0.02       , __a :							Any=0.0_01       , **__a :							Any       , )		->					int:
        super().__init__(**__a						)

        if depth_multiplier <= 0:
              raise ValueError("depth_multiplier must be greater than zero."						)

        _UpperCamelCase   :						Any    =							num_channels
        _UpperCamelCase   :						Optional[Any]    =							image_size
        _UpperCamelCase   :						Optional[Any]    =							depth_multiplier
        _UpperCamelCase   :						int    =							min_depth
        _UpperCamelCase   :						List[str]    =							hidden_act
        _UpperCamelCase   :						Union[str, Any]    =							tf_padding
        _UpperCamelCase   :						int    =							classifier_dropout_prob
        _UpperCamelCase   :						Optional[int]    =							initializer_range
        _UpperCamelCase   :						Union[str, Any]    =							layer_norm_eps





class   __SCREAMING_SNAKE_CASE     (    _UpperCamelCase ):







  '''simple docstring'''


  SCREAMING_SNAKE_CASE__				:List[Any]						  =       version.parse("1.11" )

  @property
  def  __SCREAMING_SNAKE_CASE					(		self :							List[str]						)		->					Mapping[str, Mapping[int, str]]:
        return OrderedDict([("pixel_values", {0: "batch"})]						)

  @property
  def  __SCREAMING_SNAKE_CASE					(		self :							Optional[int]						)		->					Mapping[str, Mapping[int, str]]:
        if self.task == "image-classification":
              return OrderedDict([("logits", {0: "batch"})]						)
        else:
              return OrderedDict([("last_hidden_state", {0: "batch"}), ("pooler_output", {0: "batch"})]						)


  @property
  def  __SCREAMING_SNAKE_CASE					(		self :							Tuple						)		->					float:
        return 1e-4
