



'''simple docstring'''




from __future__ import annotations







class      _lowerCAmelCase							:


	def __init__(self	,				lowercase = 0							):
				A_     :						Dict     =					key


	def    _a     (self	,				lowercase	,				lowercase							):
				assert isinstance(lowercase	,				lowercase							) and isinstance(lowercase	,				lowercase							)

				A_     :						Tuple     =					key or self.__key or 1

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

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


	def    _a     (self	,				lowercase	,				lowercase							):
				assert isinstance(lowercase	,				lowercase							) and isinstance(lowercase	,				lowercase							)

				A_     :						int     =					key or self.__key or 1

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

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


	def    _a     (self	,				lowercase	,				lowercase = 0							):
				assert isinstance(lowercase	,				lowercase							) and isinstance(lowercase	,				lowercase							)

				A_     :						str     =					key or self.__key or 1

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

				# This will be returned
				A_     :						Optional[int]     =					""""""

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

				return ans


	def    _a     (self	,				lowercase	,				lowercase = 0							):
				assert isinstance(lowercase	,				lowercase							) and isinstance(lowercase	,				lowercase							)

				A_     :						int     =					key or self.__key or 1

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

				# This will be returned
				A_     :						Any     =					""""""

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

				return ans


	def    _a     (self	,				lowercase	,				lowercase = 0							):
				assert isinstance(lowercase	,				lowercase							) and isinstance(lowercase	,				lowercase							)

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

				except OSError:
							return False

				return True


	def    _a     (self	,				lowercase	,				lowercase							):
				assert isinstance(lowercase	,				lowercase							) and isinstance(lowercase	,				lowercase							)

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

				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 typing import TYPE_CHECKING

from ....utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


lowerCamelCase							:Dict       = {'''configuration_mmbt''': ['''MMBTConfig''']}

try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						lowerCamelCase							:str       = ['''MMBTForClassification''', '''MMBTModel''', '''ModalEmbeddings''']


if TYPE_CHECKING:
						from .configuration_mmbt import MMBTConfig

						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_mmbt import MMBTForClassification, MMBTModel, ModalEmbeddings

else:
						import sys

						lowerCamelCase							:Tuple       = _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)