




from __future__ import annotations

def   A   (   _SCREAMING_SNAKE_CASE				,_SCREAMING_SNAKE_CASE					)			->				Optional[Any]:
							lowerCamelCase     :   Any    				=      '', '', ''
							lowerCamelCase     :   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   A   (   _SCREAMING_SNAKE_CASE				,_SCREAMING_SNAKE_CASE					)			->				Dict:
							lowerCamelCase     :   Tuple    				=      '', ''
							lowerCamelCase     :   Optional[Any]    				=      []

							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_					)
																					lowerCamelCase     :   Dict    				=      ''

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

def   A   (   _SCREAMING_SNAKE_CASE				,_SCREAMING_SNAKE_CASE					)			->				Optional[int]:
							# Validate message and alphabet, set to upper and remove spaces
							lowerCamelCase     :   Optional[int]    				=      alphabet.replace(" "				,""					).upper()
							lowerCamelCase     :   Any    				=      message.replace(" "				,""					).upper()

							# Check length and characters
							if len(lowercase_					) != 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
							lowerCamelCase     :   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',
							)
							lowerCamelCase     :   Union[str, Any]    				=      {}
							lowerCamelCase     :   Union[str, Any]    				=      {}
							for letter, number in zip(lowercase_				,lowercase_					):
														lowerCamelCase     :   List[str]    				=      number
														lowerCamelCase     :   str    				=      letter

							return message, alphabet, character_to_number, number_to_character

def   A   (   _SCREAMING_SNAKE_CASE				,_SCREAMING_SNAKE_CASE = "ABCDEFGHIJKLMNOPQRSTUVWXYZ."				,_SCREAMING_SNAKE_CASE = 5					)			->				int:
							lowerCamelCase     :   int    				=      __prepare(
							    lowercase_				,lowercase_					)
							lowerCamelCase     :   List[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   A   (   _SCREAMING_SNAKE_CASE				,_SCREAMING_SNAKE_CASE = "ABCDEFGHIJKLMNOPQRSTUVWXYZ."				,_SCREAMING_SNAKE_CASE = 5					)			->				Optional[Any]:
							lowerCamelCase     :   Optional[int]    				=      __prepare(
							    lowercase_				,lowercase_					)
							lowerCamelCase     :   Union[str, Any]    				=      []
							lowerCamelCase     :   Optional[Any]    				=      ''

							for i in range(0				,len(lowercase_					) + 1				,lowercase_					):
														lowerCamelCase     :   str    				=      __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__":
							SCREAMING_SNAKE_CASE__ :   int						=     'DEFEND THE EAST WALL OF THE CASTLE.'
							SCREAMING_SNAKE_CASE__ :   int						=     encrypt_message(msg, 'EPSDUCVWYM.ZLKXNBTFGORIJHAQ')
							SCREAMING_SNAKE_CASE__ :   str						=     decrypt_message(encrypted, 'EPSDUCVWYM.ZLKXNBTFGORIJHAQ')
							print(f'''Encrypted: {encrypted}\nDecrypted: {decrypted}''')












import os
import unittest

from transformers import is_torch_available
from transformers.testing_utils import require_sentencepiece, require_tokenizers, require_torch, slow, torch_device


if is_torch_available():
       import torch

       from transformers import GPTaLMHeadModel




@require_torch
@require_sentencepiece
@require_tokenizers
class 	UpperCamelCase__			(unittest.TestCase  ):

    '''simple docstring'''



    @slow
    @unittest.skip("Model is not available."  )
    def 					_lowercase  (					self  )  ->   List[Any]:
           lowerCamelCase     :   List[Any]    				=      "nvidia/megatron-gpt2-345m/"
           if "MYDIR" in os.environ:
                  lowerCamelCase     :   Union[str, Any]    				=      os.path.join(os.environ["MYDIR"]  ,						UpperCamelCase__  )
           lowerCamelCase     :   Any    				=      GPTaLMHeadModel.from_pretrained(UpperCamelCase__  )
           model.to(UpperCamelCase__  )
           model.half()

           lowerCamelCase     :   Dict    				=      torch.tensor(
               [[101, 7110, 1005, 1056, 2023, 1_1333, 1_7413, 1029, 102]]  ,						device=UpperCamelCase__  ,						dtype=torch.long  ,						)

           with torch.no_grad():
                  lowerCamelCase     :   Any    				=      model(UpperCamelCase__  ).logits

           lowerCamelCase     :   Union[str, Any]    				=      torch.Size((1, 9, 5_0257)  )
           self.assertEqual(output.shape  ,						UpperCamelCase__  )

           lowerCamelCase     :   List[str]    				=      torch.tensor(
               [
                   4.9414,
                   -0.2920,
                   -1.2148,
                   -4.0273,
                   -0.5161,
                   -5.2109,
                   -1.2412,
                   -1.8301,
                   -1.7734,
                   -4.7148,
                   -0.2317,
                   -1.0811,
                   -2.1777,
                   0.4141,
                   -3.7969,
                   -4.0586,
                   -2.5332,
                   -3.3809,
                   4.3867,
               ]  ,						device=UpperCamelCase__  ,						dtype=torch.half  ,						)

           for i in range(19  ):
                  lowerCamelCase				,   lowerCamelCase     :   Optional[int]    				=      8 * i // 17, 2792 * i  # along the diagonal
                  lowerCamelCase				,   lowerCamelCase     :   Tuple    				=      output[0, r, c], expected_diag[i]
                  lowerCamelCase     :   List[str]    				=      F'''row={r} col={c} computed={computed} expected={expected}'''
                  self.assertAlmostEqual(UpperCamelCase__  ,						UpperCamelCase__  ,						delta=1e-4  ,						msg=UpperCamelCase__  )






