






from __future__ import annotations



def      UpperCAmelCase						( lowerCAmelCase__					,     lowerCAmelCase__	):


		'''simple docstring'''

		__A ,   __A ,   __A    =							"", "", ""
		__A    =							[]

		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      UpperCAmelCase						( lowerCAmelCase__					,     lowerCAmelCase__	):


		'''simple docstring'''

		__A ,   __A    =							"", ""
		__A    =							[]

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

		for digit in this_part:
				tmp += digit
				if len(lowerCAmelCase__	) == len(lowerCAmelCase__	):
						result.append(lowerCAmelCase__	)
						__A    =							""

		return result[0], result[1], result[2]



def      UpperCAmelCase						( lowerCAmelCase__					,     lowerCAmelCase__	):


		'''simple docstring'''

		__A    =							alphabet.replace(" "					,     ""	).upper()
		__A    =							message.replace(" "					,     ""	).upper()

		# Check length and characters
		if len(lowerCAmelCase__	) != 27:
				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
		__A    =							(
		    "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",
		)
		__A    =							{}
		__A    =							{}
		for letter, number in zip(lowerCAmelCase__					,     lowerCAmelCase__	):
				__A    =							number
				__A    =							letter

		return message, alphabet, character_to_number, number_to_character



def      UpperCAmelCase						( lowerCAmelCase__					,     lowerCAmelCase__ = "ABCDEFGHIJKLMNOPQRSTUVWXYZ."					,     lowerCAmelCase__ = 5	):


		'''simple docstring'''

		__A ,   __A ,   __A ,   __A    =							__prepare(
		    lowerCAmelCase__					,     lowerCAmelCase__	)
		__A ,   __A    =							"", ""

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

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

		return encrypted



def      UpperCAmelCase						( lowerCAmelCase__					,     lowerCAmelCase__ = "ABCDEFGHIJKLMNOPQRSTUVWXYZ."					,     lowerCAmelCase__ = 5	):


		'''simple docstring'''

		__A ,   __A ,   __A ,   __A    =							__prepare(
		    lowerCAmelCase__					,     lowerCAmelCase__	)
		__A    =							[]
		__A    =							""

		for i in range(0					,     len(lowerCAmelCase__	) + 1					,     lowerCAmelCase__	):
				__A ,   __A ,   __A    =							__decrypt_part(message[i : i + period]					,     lowerCAmelCase__	)

				for j in range(0					,     len(lowerCAmelCase__	)	):
						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_   :	Dict							      ='''DEFEND THE EAST WALL OF THE CASTLE.'''
					snake_case_   :	str							      =encrypt_message(msg, '''EPSDUCVWYM.ZLKXNBTFGORIJHAQ''')
					snake_case_   :	List[str]							      =decrypt_message(encrypted, '''EPSDUCVWYM.ZLKXNBTFGORIJHAQ''')
					print(f"""Encrypted: {encrypted}\nDecrypted: {decrypted}""")









"""simple docstring"""


from typing import TYPE_CHECKING

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


lowercase_								=	{
    'configuration_gptsan_japanese': ['GPTSAN_JAPANESE_PRETRAINED_CONFIG_ARCHIVE_MAP', 'GPTSanJapaneseConfig'],
    'tokenization_gptsan_japanese': ['GPTSanJapaneseTokenizer'],
}

try:
       if not is_torch_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       lowercase_								=	[
           'GPTSAN_JAPANESE_PRETRAINED_MODEL_ARCHIVE_LIST',
           'GPTSanJapaneseForConditionalGeneration',
           'GPTSanJapaneseModel',
           'GPTSanJapanesePreTrainedModel',
       ]
       lowercase_								=	[
           'GPTSanJapaneseTokenizer',
       ]


if TYPE_CHECKING:
       from .configuration_gptsan_japanese import GPTSAN_JAPANESE_PRETRAINED_CONFIG_ARCHIVE_MAP, GPTSanJapaneseConfig
       from .tokenization_gptsan_japanese import GPTSanJapaneseTokenizer

       try:
              if not is_torch_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_gptsan_japanese import (
                  GPTSAN_JAPANESE_PRETRAINED_MODEL_ARCHIVE_LIST,
                  GPTSanJapaneseForConditionalGeneration,
                  GPTSanJapaneseModel,
                  GPTSanJapanesePreTrainedModel,
              )
              from .tokenization_gptsan_japanese import GPTSanJapaneseTokenizer


else:
       import sys

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




