


'''simple docstring'''



import math







def       _UpperCamelCase (						):
			UpperCAmelCase__					:   Optional[int]       				=       input("""Enter message: """   )
			UpperCAmelCase__					:   Optional[Any]       				=       int(input(f'''Enter key [2-{len(UpperCamelCase__   ) - 1}]: '''   )   )
			UpperCAmelCase__					:   List[Any]       				=       input("""Encryption/Decryption [e/d]: """   )

			if mode.lower().startswith("""e"""   ):
						UpperCAmelCase__					:   str       				=       encrypt_message(UpperCamelCase__	, UpperCamelCase__   )
			elif mode.lower().startswith("""d"""   ):
						UpperCAmelCase__					:   Union[str, Any]       				=       decrypt_message(UpperCamelCase__	, UpperCamelCase__   )

			# Append pipe symbol (vertical bar) to identify spaces at the end.
			print(f'''Output:\n{text + '|'}'''   )







def       _UpperCamelCase (						UpperCamelCase__	, UpperCamelCase__   ):
			UpperCAmelCase__					:   Optional[int]       				=       [""""""] * key
			for col in range(UpperCamelCase__   ):
						UpperCAmelCase__					:   Optional[Any]       				=       col
						while pointer < len(UpperCamelCase__   ):
									cipher_text[col] += message[pointer]
									pointer += key
			return "".join(UpperCamelCase__   )







def       _UpperCamelCase (						UpperCamelCase__	, UpperCamelCase__   ):
			UpperCAmelCase__					:   List[Any]       				=       math.ceil(len(UpperCamelCase__   ) / key   )
			UpperCAmelCase__					:   Tuple       				=       key
			UpperCAmelCase__					:   List[str]       				=       (num_cols * num_rows) - len(UpperCamelCase__   )
			UpperCAmelCase__					:   List[Any]       				=       [""""""] * num_cols
			UpperCAmelCase__					:   List[str]       				=       0
			UpperCAmelCase__					:   Any       				=       0

			for symbol in message:
						plain_text[col] += symbol
						col += 1

						if (
						    (col == num_cols)
						    or (col == num_cols - 1)
						    and (row >= num_rows - num_shaded_boxes)
						):
									UpperCAmelCase__					:   int       				=       0
									row += 1

			return "".join(UpperCamelCase__   )


if __name__ == "__main__":
		import doctest

		doctest.testmod()
		main()



'''simple docstring'''



from __future__ import annotations

import unittest

from transformers import is_tf_available
from transformers.testing_utils import require_sentencepiece, require_tf, require_tokenizers, slow


if is_tf_available():
		import tensorflow as tf

		from transformers import AutoTokenizer, TFAutoModelForSeqaSeqLM


@require_tf
@require_sentencepiece
@require_tokenizers
class 						_snake_case   (       unittest.TestCase		):




					@slow
					def 			snake_case__  ( self):
								UpperCAmelCase__					:   Optional[int]       				=       TFAutoModelForSeqaSeqLM.from_pretrained("""google/mt5-small""")
								UpperCAmelCase__					:   str       				=       AutoTokenizer.from_pretrained("""google/mt5-small""")

								UpperCAmelCase__					:   Optional[Any]       				=       tokenizer("""Hello there"""							,							return_tensors="""tf""").input_ids
								UpperCAmelCase__					:   Tuple       				=       tokenizer("""Hi I am"""							,							return_tensors="""tf""").input_ids

								UpperCAmelCase__					:   List[Any]       				=       model(_lowerCamelCase							,							labels=_lowerCamelCase).loss
								UpperCAmelCase__					:   Tuple       				=       -tf.math.reduce_mean(_lowerCamelCase).numpy()

								UpperCAmelCase__					:   Optional[int]       				=       -21.228168
								self.assertTrue(abs(mtf_score - EXPECTED_SCORE) < 2e-4)