




'''simple docstring'''







from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_tf_available,
    is_torch_available,
)


lowercase      :   List[Any]      =       {
    """configuration_resnet""": ["""RESNET_PRETRAINED_CONFIG_ARCHIVE_MAP""", """ResNetConfig""", """ResNetOnnxConfig"""]
}

try:
      if not is_torch_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      lowercase      :   Any      =       [
          """RESNET_PRETRAINED_MODEL_ARCHIVE_LIST""",
          """ResNetForImageClassification""",
          """ResNetModel""",
          """ResNetPreTrainedModel""",
          """ResNetBackbone""",
      ]

try:
      if not is_tf_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      lowercase      :   int      =       [
          """TF_RESNET_PRETRAINED_MODEL_ARCHIVE_LIST""",
          """TFResNetForImageClassification""",
          """TFResNetModel""",
          """TFResNetPreTrainedModel""",
      ]

try:
      if not is_flax_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      lowercase      :   Dict      =       [
          """FlaxResNetForImageClassification""",
          """FlaxResNetModel""",
          """FlaxResNetPreTrainedModel""",
      ]

if TYPE_CHECKING:
      from .configuration_resnet import RESNET_PRETRAINED_CONFIG_ARCHIVE_MAP, ResNetConfig, ResNetOnnxConfig

      try:
            if not is_torch_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_resnet import (
                RESNET_PRETRAINED_MODEL_ARCHIVE_LIST,
                ResNetBackbone,
                ResNetForImageClassification,
                ResNetModel,
                ResNetPreTrainedModel,
            )

      try:
            if not is_tf_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_tf_resnet import (
                TF_RESNET_PRETRAINED_MODEL_ARCHIVE_LIST,
                TFResNetForImageClassification,
                TFResNetModel,
                TFResNetPreTrainedModel,
            )

      try:
            if not is_flax_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_flax_resnet import FlaxResNetForImageClassification, FlaxResNetModel, FlaxResNetPreTrainedModel


else:
      import sys

      lowercase      :   List[str]      =       _LazyModule(__name__, globals()["""__file__"""], _import_structure)









'''simple docstring'''







from __future__ import annotations







class 					_a :





     '''simple docstring'''



     def __init__(				self							,__a = 0							)      ->				str:
          snake_case			:      List[Any]        =			key







     def 			snake_case_      (				self							,__a							,__a							)      ->				list[str]:
          assert isinstance(__a							,__a							) and isinstance(__a							,__a							)

          snake_case			:      Tuple        =			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							,__a							,__a							)      ->				list[str]:
          assert isinstance(__a							,__a							) and isinstance(__a							,__a							)

          snake_case			:      List[Any]        =			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							,__a							,__a = 0							)      ->				str:
          assert isinstance(__a							,__a							) and isinstance(__a							,__a							)

          snake_case			:      List[Any]        =			key or self.__key or 1

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

          # This will be returned
          snake_case			:      List[str]        =			""""""

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

          return ans







     def 			snake_case_      (				self							,__a							,__a = 0							)      ->				str:
          assert isinstance(__a							,__a							) and isinstance(__a							,__a							)

          snake_case			:      Any        =			key or self.__key or 1

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

          # This will be returned
          snake_case			:      List[str]        =			""""""

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

          return ans







     def 			snake_case_      (				self							,__a							,__a = 0							)      ->				bool:
          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							,__a							,__a							)      ->				bool:
          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")



