




from __future__ import annotations


class    lowerCamelCase    :






			'''simple docstring'''





			def __init__( self			:   str       ,						lowerCamelCase_			:   int = 0  )						->   List[str]:
								__magic_name__							:	Optional[int]    							=							key

			def 							UpperCAmelCase__       ( self			:   Optional[Any]       ,						lowerCamelCase_			:   str       ,						lowerCamelCase_			:   int  )						->   Optional[Any]:
								assert isinstance(UpperCAmelCase_       ,						UpperCAmelCase_  ) and isinstance(UpperCAmelCase_       ,						UpperCAmelCase_  )

								__magic_name__							:	Tuple    							=							key or self.__key or 1

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

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

			def 							UpperCAmelCase__       ( self			:   Any       ,						lowerCamelCase_			:   str       ,						lowerCamelCase_			:   int  )						->   Dict:
								assert isinstance(UpperCAmelCase_       ,						UpperCAmelCase_  ) and isinstance(UpperCAmelCase_       ,						UpperCAmelCase_  )

								__magic_name__							:	Optional[Any]    							=							key or self.__key or 1

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

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

			def 							UpperCAmelCase__       ( self			:   Any       ,						lowerCamelCase_			:   str       ,						lowerCamelCase_			:   int = 0  )						->   List[Any]:
								assert isinstance(UpperCAmelCase_       ,						UpperCAmelCase_  ) and isinstance(UpperCAmelCase_       ,						UpperCAmelCase_  )

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

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

								# This will be returned
								__magic_name__							:	Union[str, Any]    							=							''

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

								return ans

			def 							UpperCAmelCase__       ( self			:   Tuple       ,						lowerCamelCase_			:   str       ,						lowerCamelCase_			:   int = 0  )						->   Dict:
								assert isinstance(UpperCAmelCase_       ,						UpperCAmelCase_  ) and isinstance(UpperCAmelCase_       ,						UpperCAmelCase_  )

								__magic_name__							:	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
								__magic_name__							:	Dict    							=							''

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

								return ans

			def 							UpperCAmelCase__       ( self			:   Any       ,						lowerCamelCase_			:   str       ,						lowerCamelCase_			:   int = 0  )						->   Optional[Any]:
								assert isinstance(UpperCAmelCase_       ,						UpperCAmelCase_  ) and isinstance(UpperCAmelCase_       ,						UpperCAmelCase_  )

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

								except OSError:
													return False

								return True


			def 							UpperCAmelCase__       ( self			:   List[str]       ,						lowerCamelCase_			:   str       ,						lowerCamelCase_			:   int  )						->   Optional[Any]:
								assert isinstance(UpperCAmelCase_       ,						UpperCAmelCase_  ) and isinstance(UpperCAmelCase_       ,						UpperCAmelCase_  )

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

								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")









from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_sentencepiece_available,
    is_speech_available,
    is_tf_available,
    is_torch_available,
)


__lowerCamelCase   :						List[Any]				=			{
    '''configuration_speech_to_text''': ['''SPEECH_TO_TEXT_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''Speech2TextConfig'''],
    '''processing_speech_to_text''': ['''Speech2TextProcessor'''],
}

try:
	if not is_sentencepiece_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	__lowerCamelCase   :						Any				=			['''Speech2TextTokenizer''']

try:
	if not is_speech_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	__lowerCamelCase   :						Optional[Any]				=			['''Speech2TextFeatureExtractor''']

try:
	if not is_tf_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	__lowerCamelCase   :						Any				=			[
	    '''TF_SPEECH_TO_TEXT_PRETRAINED_MODEL_ARCHIVE_LIST''',
	    '''TFSpeech2TextForConditionalGeneration''',
	    '''TFSpeech2TextModel''',
	    '''TFSpeech2TextPreTrainedModel''',
	]

try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	__lowerCamelCase   :						Any				=			[
	    '''SPEECH_TO_TEXT_PRETRAINED_MODEL_ARCHIVE_LIST''',
	    '''Speech2TextForConditionalGeneration''',
	    '''Speech2TextModel''',
	    '''Speech2TextPreTrainedModel''',
	]


if TYPE_CHECKING:
	from .configuration_speech_to_text import SPEECH_TO_TEXT_PRETRAINED_CONFIG_ARCHIVE_MAP, SpeechaTextConfig
	from .processing_speech_to_text import SpeechaTextProcessor

	try:
		if not is_sentencepiece_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .tokenization_speech_to_text import SpeechaTextTokenizer

	try:
		if not is_speech_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .feature_extraction_speech_to_text import SpeechaTextFeatureExtractor

	try:
		if not is_tf_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_tf_speech_to_text import (
		    TF_SPEECH_TO_TEXT_PRETRAINED_MODEL_ARCHIVE_LIST,
		    TFSpeechaTextForConditionalGeneration,
		    TFSpeechaTextModel,
		    TFSpeechaTextPreTrainedModel,
		)

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_speech_to_text import (
		    SPEECH_TO_TEXT_PRETRAINED_MODEL_ARCHIVE_LIST,
		    SpeechaTextForConditionalGeneration,
		    SpeechaTextModel,
		    SpeechaTextPreTrainedModel,
		)

else:
	import sys

	__lowerCamelCase   :						List[str]				=			_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)



