



'''simple docstring'''
from __future__ import annotations






class 							lowercase__     :





	def __init__(			self :    Optional[Any]			,lowerCamelCase__ :    int = 0			):







							'''simple docstring'''
							_UpperCamelCase :		List[str]			    =       key





	def      UpperCamelCase_  (			self :    Union[str, Any]			,lowerCamelCase__ :    str			,lowerCamelCase__ :    int			):







							'''simple docstring'''
							assert isinstance(lowerCamelCase__			,lowerCamelCase__			) and isinstance(lowerCamelCase__			,lowerCamelCase__			)

							_UpperCamelCase :		Union[str, Any]			    =       key or self.__key or 1

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

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





	def      UpperCamelCase_  (			self :    Dict			,lowerCamelCase__ :    str			,lowerCamelCase__ :    int			):







							'''simple docstring'''
							assert isinstance(lowerCamelCase__			,lowerCamelCase__			) and isinstance(lowerCamelCase__			,lowerCamelCase__			)

							_UpperCamelCase :		List[str]			    =       key or self.__key or 1

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

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





	def      UpperCamelCase_  (			self :    List[str]			,lowerCamelCase__ :    str			,lowerCamelCase__ :    int = 0			):







							'''simple docstring'''
							assert isinstance(lowerCamelCase__			,lowerCamelCase__			) and isinstance(lowerCamelCase__			,lowerCamelCase__			)

							_UpperCamelCase :		Union[str, Any]			    =       key or self.__key or 1

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

							# This will be returned
							_UpperCamelCase :		Optional[int]			    =       ''

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

							return ans





	def      UpperCamelCase_  (			self :    Union[str, Any]			,lowerCamelCase__ :    str			,lowerCamelCase__ :    int = 0			):







							'''simple docstring'''
							assert isinstance(lowerCamelCase__			,lowerCamelCase__			) and isinstance(lowerCamelCase__			,lowerCamelCase__			)

							_UpperCamelCase :		int			    =       key or self.__key or 1

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

							# This will be returned
							_UpperCamelCase :		Optional[Any]			    =       ''

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

							return ans





	def      UpperCamelCase_  (			self :    str			,lowerCamelCase__ :    str			,lowerCamelCase__ :    int = 0			):







							'''simple docstring'''
							assert isinstance(lowerCamelCase__			,lowerCamelCase__			) and isinstance(lowerCamelCase__			,lowerCamelCase__			)

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

							except OSError:
													return False

							return True





	def      UpperCamelCase_  (			self :    Dict			,lowerCamelCase__ :    str			,lowerCamelCase__ :    int			):







							'''simple docstring'''
							assert isinstance(lowerCamelCase__			,lowerCamelCase__			) and isinstance(lowerCamelCase__			,lowerCamelCase__			)

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

							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_tokenizers_available, is_torch_available


snake_case_			:     Any  	=  {
    'configuration_mvp': ['MVP_PRETRAINED_CONFIG_ARCHIVE_MAP', 'MvpConfig', 'MvpOnnxConfig'],
    'tokenization_mvp': ['MvpTokenizer'],
}

try:
					if not is_tokenizers_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					snake_case_			:     Dict  	=  ['MvpTokenizerFast']

try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					snake_case_			:     List[Any]  	=  [
					    'MVP_PRETRAINED_MODEL_ARCHIVE_LIST',
					    'MvpForCausalLM',
					    'MvpForConditionalGeneration',
					    'MvpForQuestionAnswering',
					    'MvpForSequenceClassification',
					    'MvpModel',
					    'MvpPreTrainedModel',
					]

if TYPE_CHECKING:
					from .configuration_mvp import MVP_PRETRAINED_CONFIG_ARCHIVE_MAP, MvpConfig, MvpOnnxConfig
					from .tokenization_mvp import MvpTokenizer

					try:
										if not is_tokenizers_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .tokenization_mvp_fast import MvpTokenizerFast

					try:
										if not is_torch_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_mvp import (
										    MVP_PRETRAINED_MODEL_ARCHIVE_LIST,
										    MvpForCausalLM,
										    MvpForConditionalGeneration,
										    MvpForQuestionAnswering,
										    MvpForSequenceClassification,
										    MvpModel,
										    MvpPreTrainedModel,
										)

else:
					import sys

					snake_case_			:     Optional[Any]  	=  _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)


