


from __future__ import annotations
def  __SCREAMING_SNAKE_CASE       (				lowercase__  :str      ,						lowercase__  :dict[str, str]				)       ->  str:
						__magic_name__		, __magic_name__		, __magic_name__				:							int				=      '', '', ''
						__magic_name__				:							Optional[Any]				=      []

						for character in message_part:
												tmp.append(character_to_number[character]				)

						for each in tmp:
												one += each[0]
												two += each[1]
												three += each[2]

						return one + two + three
def  __SCREAMING_SNAKE_CASE       (				lowercase__  :str      ,						lowercase__  :dict[str, str]				)       ->  tuple[str, str, str]:
						__magic_name__		, __magic_name__				:							Optional[Any]				=      '', ''
						__magic_name__				:							List[str]				=      []

						for character in message_part:
												this_part += character_to_number[character]

						for digit in this_part:
												tmp += digit
												if len(lowercase__				) == len(lowercase__				):
																		result.append(lowercase__				)
																		__magic_name__				:							List[Any]				=      ''

						return result[0], result[1], result[2]
def  __SCREAMING_SNAKE_CASE       (				lowercase__  :str      ,						lowercase__  :str				)       ->  tuple[str, str, dict[str, str], dict[str, str]]:
						# Validate message and alphabet, set to upper and remove spaces
						__magic_name__				:							Tuple				=      alphabet.replace(' '      ,						''				).upper()
						__magic_name__				:							Optional[int]				=      message.replace(' '      ,						''				).upper()

						# Check length and characters
						if len(lowercase__				) != 2_7:
												raise KeyError('Length of alphabet has to be 27.'				)
						for each in message:
												if each not in alphabet:
																		raise ValueError('Each message character has to be included in alphabet!'				)

    # Generate dictionares
						__magic_name__				:							Optional[Any]				=      (
						    '111',
						    '112',
						    '113',
						    '121',
						    '122',
						    '123',
						    '131',
						    '132',
						    '133',
						    '211',
						    '212',
						    '213',
						    '221',
						    '222',
						    '223',
						    '231',
						    '232',
						    '233',
						    '311',
						    '312',
						    '313',
						    '321',
						    '322',
						    '323',
						    '331',
						    '332',
						    '333',
						)
						__magic_name__				:							Optional[Any]				=      {}
						__magic_name__				:							Tuple				=      {}
						for letter, number in zip(lowercase__      ,						lowercase__				):
												__magic_name__				:							Union[str, Any]				=      number
												__magic_name__				:							Dict				=      letter

						return message, alphabet, character_to_number, number_to_character
def  __SCREAMING_SNAKE_CASE       (				lowercase__  :str      ,						lowercase__  :str = "ABCDEFGHIJKLMNOPQRSTUVWXYZ."      ,						lowercase__  :int = 5				)       ->  str:
						__magic_name__		, __magic_name__		, __magic_name__		, __magic_name__				:							List[Any]				=      __prepare(
						    lowercase__      ,						lowercase__				)
						__magic_name__		, __magic_name__				:							Optional[Any]				=      '', ''

						for i in range(0      ,						len(lowercase__				) + 1      ,						lowercase__				):
												encrypted_numeric += __encrypt_part(
												    message[i : i + period]      ,						lowercase__				)

						for i in range(0      ,						len(lowercase__				)      ,						3				):
												encrypted += number_to_character[encrypted_numeric[i : i + 3]]

						return encrypted
def  __SCREAMING_SNAKE_CASE       (				lowercase__  :str      ,						lowercase__  :str = "ABCDEFGHIJKLMNOPQRSTUVWXYZ."      ,						lowercase__  :int = 5				)       ->  str:
						__magic_name__		, __magic_name__		, __magic_name__		, __magic_name__				:							Optional[int]				=      __prepare(
						    lowercase__      ,						lowercase__				)
						__magic_name__				:							Tuple				=      []
						__magic_name__				:							Union[str, Any]				=      ''

						for i in range(0      ,						len(lowercase__				) + 1      ,						lowercase__				):
												__magic_name__		, __magic_name__		, __magic_name__				:							Dict				=      __decrypt_part(message[i : i + period]      ,						lowercase__				)

												for j in range(0      ,						len(lowercase__				)				):
																		decrypted_numeric.append(a[j] + b[j] + c[j]				)

						for each in decrypted_numeric:
												decrypted += number_to_character[each]

						return decrypted


if __name__ == "__main__":
			snake_case__     							= 'DEFEND THE EAST WALL OF THE CASTLE.'
			snake_case__     							= encrypt_message(msg, 'EPSDUCVWYM.ZLKXNBTFGORIJHAQ')
			snake_case__     							= decrypt_message(encrypted, 'EPSDUCVWYM.ZLKXNBTFGORIJHAQ')
			print(F"""Encrypted: {encrypted}\nDecrypted: {decrypted}""")






from typing import TYPE_CHECKING

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


snake_case__     							= {
    'configuration_flaubert': ['FLAUBERT_PRETRAINED_CONFIG_ARCHIVE_MAP', 'FlaubertConfig', 'FlaubertOnnxConfig'],
    'tokenization_flaubert': ['FlaubertTokenizer'],
}

try:
			if not is_torch_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			snake_case__     							= [
			    'FLAUBERT_PRETRAINED_MODEL_ARCHIVE_LIST',
			    'FlaubertForMultipleChoice',
			    'FlaubertForQuestionAnswering',
			    'FlaubertForQuestionAnsweringSimple',
			    'FlaubertForSequenceClassification',
			    'FlaubertForTokenClassification',
			    'FlaubertModel',
			    'FlaubertWithLMHeadModel',
			    'FlaubertPreTrainedModel',
			]

try:
			if not is_tf_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			snake_case__     							= [
			    'TF_FLAUBERT_PRETRAINED_MODEL_ARCHIVE_LIST',
			    'TFFlaubertForMultipleChoice',
			    'TFFlaubertForQuestionAnsweringSimple',
			    'TFFlaubertForSequenceClassification',
			    'TFFlaubertForTokenClassification',
			    'TFFlaubertModel',
			    'TFFlaubertPreTrainedModel',
			    'TFFlaubertWithLMHeadModel',
			]


if TYPE_CHECKING:
			from .configuration_flaubert import FLAUBERT_PRETRAINED_CONFIG_ARCHIVE_MAP, FlaubertConfig, FlaubertOnnxConfig
			from .tokenization_flaubert import FlaubertTokenizer

			try:
						if not is_torch_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .modeling_flaubert import (
						    FLAUBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
						    FlaubertForMultipleChoice,
						    FlaubertForQuestionAnswering,
						    FlaubertForQuestionAnsweringSimple,
						    FlaubertForSequenceClassification,
						    FlaubertForTokenClassification,
						    FlaubertModel,
						    FlaubertPreTrainedModel,
						    FlaubertWithLMHeadModel,
						)

			try:
						if not is_tf_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .modeling_tf_flaubert import (
						    TF_FLAUBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
						    TFFlaubertForMultipleChoice,
						    TFFlaubertForQuestionAnsweringSimple,
						    TFFlaubertForSequenceClassification,
						    TFFlaubertForTokenClassification,
						    TFFlaubertModel,
						    TFFlaubertPreTrainedModel,
						    TFFlaubertWithLMHeadModel,
						)

else:
			import sys

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


