



"""simple docstring"""



lowercase_							 =       [chr(i) for i in range(32, 1_26)]
lowercase_							 =       list(range(len(alphabets)))
lowercase_							 =       list(range(len(alphabets)))
lowercase_							 =       list(range(len(alphabets)))
lowercase_							 =       list(reversed(range(len(alphabets))))
lowercase_							 =       []
lowercase_							 =       lowercase_							 =       lowercase_							 =       0
def     UpperCAmelCase    (					)	->   Dict:


	"""simple docstring"""




	global gear_one_pos
	global gear_two_pos
	global gear_three_pos
	lowerCAmelCase_			       = gear_one[0]
	gear_one.append(_lowercase  )
	del gear_one[0]
	gear_one_pos += 1
	if gear_one_pos % int(len(_lowercase  )  ) == 0:
		lowerCAmelCase_			       = gear_two[0]
		gear_two.append(_lowercase  )
		del gear_two[0]
		gear_two_pos += 1
		if gear_two_pos % int(len(_lowercase  )  ) == 0:
			lowerCAmelCase_			       = gear_three[0]
			gear_three.append(_lowercase  )
			del gear_three[0]
			gear_three_pos += 1
def     UpperCAmelCase    (					_lowercase   :      str  )	->   Any:


	"""simple docstring"""




	lowerCAmelCase_			       = alphabets.index(_lowercase  )
	lowerCAmelCase_			       = gear_one[target]
	lowerCAmelCase_			       = gear_two[target]
	lowerCAmelCase_			       = gear_three[target]
	lowerCAmelCase_			       = reflector[target]
	lowerCAmelCase_			       = gear_three.index(_lowercase  )
	lowerCAmelCase_			       = gear_two.index(_lowercase  )
	lowerCAmelCase_			       = gear_one.index(_lowercase  )
	code.append(alphabets[target]  )
	rotator()


if __name__ == "__main__":
		lowercase_							 =       list(input('Type your message:\n'))
		while True:
				try:
						lowercase_							 =       int(input('Please set token:(must be only digits)\n'))
						break
				except Exception as error:
						print(error)
		for _ in range(token):
				rotator()
		for j in decode:
				engine(j)
		print('\n' + ''.join(code))
		print(
		    f"""\nYour Token is {token} please write it down.\nIf you want to decode """
		    'this message again you should input same digits as token!'
		)



"""simple docstring"""



from typing import TYPE_CHECKING

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


lowercase_							 =       {'configuration_pegasus': ['PEGASUS_PRETRAINED_CONFIG_ARCHIVE_MAP', 'PegasusConfig']}

try:
		if not is_sentencepiece_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		lowercase_							 =       ['PegasusTokenizer']

try:
		if not is_tokenizers_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		lowercase_							 =       ['PegasusTokenizerFast']

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		lowercase_							 =       [
		    'PEGASUS_PRETRAINED_MODEL_ARCHIVE_LIST',
		    'PegasusForCausalLM',
		    'PegasusForConditionalGeneration',
		    'PegasusModel',
		    'PegasusPreTrainedModel',
		]

try:
		if not is_tf_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		lowercase_							 =       [
		    'TFPegasusForConditionalGeneration',
		    'TFPegasusModel',
		    'TFPegasusPreTrainedModel',
		]

try:
		if not is_flax_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		lowercase_							 =       [
		    'FlaxPegasusForConditionalGeneration',
		    'FlaxPegasusModel',
		    'FlaxPegasusPreTrainedModel',
		]


if TYPE_CHECKING:
		from .configuration_pegasus import PEGASUS_PRETRAINED_CONFIG_ARCHIVE_MAP, PegasusConfig

		try:
				if not is_sentencepiece_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .tokenization_pegasus import PegasusTokenizer

		try:
				if not is_tokenizers_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .tokenization_pegasus_fast import PegasusTokenizerFast

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_pegasus import (
				    PEGASUS_PRETRAINED_MODEL_ARCHIVE_LIST,
				    PegasusForCausalLM,
				    PegasusForConditionalGeneration,
				    PegasusModel,
				    PegasusPreTrainedModel,
				)

		try:
				if not is_tf_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_tf_pegasus import TFPegasusForConditionalGeneration, TFPegasusModel, TFPegasusPreTrainedModel

		try:
				if not is_flax_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_flax_pegasus import (
				    FlaxPegasusForConditionalGeneration,
				    FlaxPegasusModel,
				    FlaxPegasusPreTrainedModel,
				)

else:
		import sys

		lowercase_							 =       _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)