





from __future__ import annotations




class 	UpperCamelCase_							:


							def __init__(				self     :Optional[Any]				,					__A     :int = 0		) -> Optional[Any]:



									"""simple docstring"""



									SCREAMING_SNAKE_CASE__								=   key


							def   _snake_case	(				self     :Optional[int]				,					__A     :str				,					__A     :int		) -> list[str]:



									"""simple docstring"""



									assert isinstance(__A				,					__A		) and isinstance(__A				,					__A		)

									SCREAMING_SNAKE_CASE__								=   key or self.__key or 1

									# make sure key is an appropriate size
									key %= 255

									return [chr(ord(__A		) ^ key		) for ch in content]


							def   _snake_case	(				self     :Tuple				,					__A     :str				,					__A     :int		) -> list[str]:



									"""simple docstring"""



									assert isinstance(__A				,					__A		) and isinstance(__A				,					__A		)

									SCREAMING_SNAKE_CASE__								=   key or self.__key or 1

									# make sure key is an appropriate size
									key %= 255

									return [chr(ord(__A		) ^ key		) for ch in content]


							def   _snake_case	(				self     :int				,					__A     :str				,					__A     :int = 0		) -> str:



									"""simple docstring"""



									assert isinstance(__A				,					__A		) and isinstance(__A				,					__A		)

									SCREAMING_SNAKE_CASE__								=   key or self.__key or 1

									# make sure key can be any size
									while key > 255:
											key -= 255

									# This will be returned
									SCREAMING_SNAKE_CASE__								=   """"""

									for ch in content:
											ans += chr(ord(__A		) ^ key		)

									return ans


							def   _snake_case	(				self     :Optional[int]				,					__A     :str				,					__A     :int = 0		) -> str:



									"""simple docstring"""



									assert isinstance(__A				,					__A		) and isinstance(__A				,					__A		)

									SCREAMING_SNAKE_CASE__								=   key or self.__key or 1

									# make sure key can be any size
									while key > 255:
											key -= 255

									# This will be returned
									SCREAMING_SNAKE_CASE__								=   """"""

									for ch in content:
											ans += chr(ord(__A		) ^ key		)

									return ans


							def   _snake_case	(				self     :Optional[int]				,					__A     :str				,					__A     :int = 0		) -> bool:



									"""simple docstring"""



									assert isinstance(__A				,					__A		) and isinstance(__A				,					__A		)

									try:
											with open(__A		) as fin, open("""encrypt.out"""				,					"""w+"""		) as fout:
													# actual encrypt-process
													for line in fin:
															fout.write(self.encrypt_string(__A				,					__A		)		)

									except OSError:
											return False

									return True


							def   _snake_case	(				self     :Any				,					__A     :str				,					__A     :int		) -> bool:



									"""simple docstring"""



									assert isinstance(__A				,					__A		) and isinstance(__A				,					__A		)

									try:
											with open(__A		) as fin, open("""decrypt.out"""				,					"""w+"""		) as fout:
													# actual encrypt-process
													for line in fin:
															fout.write(self.decrypt_string(__A				,					__A		)		)

									except OSError:
											return False

									return True


# Tests
# crypt = XORCipher()
# key = 67

# # test encrypt
# print(crypt.encrypt("hallo welt",key))
# # test decrypt
# print(crypt.decrypt(crypt.encrypt("hallo welt",key), key))

# # test encrypt_string
# print(crypt.encrypt_string("hallo welt",key))

# # test decrypt_string
# print(crypt.decrypt_string(crypt.encrypt_string("hallo welt",key),key))

# if (crypt.encrypt_file("test.txt",key)):
#       print("encrypt successful")
# else:
#       print("encrypt unsuccessful")

# if (crypt.decrypt_file("encrypt.out",key)):
#       print("decrypt successful")
# else:
#       print("decrypt unsuccessful")
'''simple docstring'''

from collections import OrderedDict
from typing import List, Mapping

from packaging import version

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


A_     :						Tuple    							=logging.get_logger(__name__)

A_     :						Dict    							={
    '''google/efficientnet-b7''': '''https://huggingface.co/google/efficientnet-b7/resolve/main/config.json''',
}


class     __UpperCAmelCase       ( __a		):
  __A :				Union[str, Any]											= 'efficientnet'





  def __init__(	self    ,     _lowerCamelCase = 3    ,     _lowerCamelCase = 600    ,     _lowerCamelCase = 2.0    ,     _lowerCamelCase = 3.1    ,     _lowerCamelCase = 8    ,     _lowerCamelCase = [3, 3, 5, 3, 5, 5, 3]    ,     _lowerCamelCase = [32, 16, 24, 40, 80, 112, 192]    ,     _lowerCamelCase = [16, 24, 40, 80, 112, 192, 320]    ,     _lowerCamelCase = []    ,     _lowerCamelCase = [1, 2, 2, 2, 1, 2, 1]    ,     _lowerCamelCase = [1, 2, 2, 3, 3, 4, 1]    ,     _lowerCamelCase = [1, 6, 6, 6, 6, 6, 6]    ,     _lowerCamelCase = 0.25    ,     _lowerCamelCase = "swish"    ,     _lowerCamelCase = 2560    ,     _lowerCamelCase = "mean"    ,     _lowerCamelCase = 0.02    ,     _lowerCamelCase = 0.0_01    ,     _lowerCamelCase = 0.99    ,     _lowerCamelCase = 0.5    ,     _lowerCamelCase = 0.2    ,     **_lowerCamelCase    ,     ):
     super().__init__(**_lowerCamelCase )

     lowerCAmelCase_			=      num_channels
     lowerCAmelCase_			=      image_size
     lowerCAmelCase_			=      width_coefficient
     lowerCAmelCase_			=      depth_coefficient
     lowerCAmelCase_			=      depth_divisor
     lowerCAmelCase_			=      kernel_sizes
     lowerCAmelCase_			=      in_channels
     lowerCAmelCase_			=      out_channels
     lowerCAmelCase_			=      depthwise_padding
     lowerCAmelCase_			=      strides
     lowerCAmelCase_			=      num_block_repeats
     lowerCAmelCase_			=      expand_ratios
     lowerCAmelCase_			=      squeeze_expansion_ratio
     lowerCAmelCase_			=      hidden_act
     lowerCAmelCase_			=      hidden_dim
     lowerCAmelCase_			=      pooling_type
     lowerCAmelCase_			=      initializer_range
     lowerCAmelCase_			=      batch_norm_eps
     lowerCAmelCase_			=      batch_norm_momentum
     lowerCAmelCase_			=      dropout_rate
     lowerCAmelCase_			=      drop_connect_rate
     lowerCAmelCase_			=      sum(_lowerCamelCase ) * 4






class     __UpperCAmelCase       ( __a		):
  __A :				str											= version.parse('1.11'		)





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







  @property
  def 						UpperCAmelCase_	(	self ):
     return 1E-5





