




import math







def 			lowerCamelCase_		(       )     ->       None:





				"""simple docstring"""


				__lowerCamelCase		       =    input('Enter message: '      )
				__lowerCamelCase		       =    int(input(F"""Enter key [2-{len(UpperCamelCase__      ) - 1}]: """      )      )
				__lowerCamelCase		       =    input('Encryption/Decryption [e/d]: '      )

				if mode.lower().startswith('e'      ):
								__lowerCamelCase		       =    encrypt_message(UpperCamelCase__ ,     UpperCamelCase__      )
				elif mode.lower().startswith('d'      ):
								__lowerCamelCase		       =    decrypt_message(UpperCamelCase__ ,     UpperCamelCase__      )

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







def 			lowerCamelCase_		(       UpperCamelCase__				:      int ,     UpperCamelCase__				:      str      )     ->       str:





				"""simple docstring"""


				__lowerCamelCase		       =    [''] * key
				for col in range(UpperCamelCase__      ):
								__lowerCamelCase		       =    col
								while pointer < len(UpperCamelCase__      ):
												cipher_text[col] += message[pointer]
												pointer += key
				return "".join(UpperCamelCase__      )







def 			lowerCamelCase_		(       UpperCamelCase__				:      int ,     UpperCamelCase__				:      str      )     ->       str:





				"""simple docstring"""


				__lowerCamelCase		       =    math.ceil(len(UpperCamelCase__      ) / key      )
				__lowerCamelCase		       =    key
				__lowerCamelCase		       =    (num_cols * num_rows) - len(UpperCamelCase__      )
				__lowerCamelCase		       =    [''] * num_cols
				__lowerCamelCase		       =    0
				__lowerCamelCase		       =    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)
								):
												__lowerCamelCase		       =    0
												row += 1

				return "".join(UpperCamelCase__      )


if __name__ == "__main__":
					import doctest

					doctest.testmod()
					main()








import json
from typing import TYPE_CHECKING, List, Optional, Tuple

from tokenizers import pre_tokenizers

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging


if TYPE_CHECKING:
					from transformers.pipelines.conversational import Conversation


__A        =    logging.get_logger(__name__)

__A        =    {"vocab_file": "vocab.json", "merges_file": "merges.txt", "tokenizer_file": "tokenizer.json"}

__A        =    {
    "tokenizer_file": {
        "EleutherAI/gpt-neox-20b": "https://huggingface.co/EleutherAI/gpt-neox-20b/resolve/main/tokenizer.json",
    },
}

__A        =    {
    "gpt-neox-20b": 20_48,
}







class     __lowerCAmelCase (       __magic_name__ ):

			"""simple docstring"""







			snake_case_   		=       VOCAB_FILES_NAMES
			snake_case_   		=       PRETRAINED_VOCAB_FILES_MAP
			snake_case_   		=       PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
			snake_case_   		=       ['''input_ids''', '''attention_mask''']


			def __init__(      self			,						lowerCamelCase__=None			,						lowerCamelCase__=None			,						lowerCamelCase__=None			,						lowerCamelCase__="<|endoftext|>"			,						lowerCamelCase__="<|endoftext|>"			,						lowerCamelCase__="<|endoftext|>"			,						lowerCamelCase__=False			,						**lowerCamelCase__			,						)    ->      int:



							'''simple docstring'''
							super().__init__(
							    lowerCamelCase__			,						lowerCamelCase__			,						tokenizer_file=lowerCamelCase__			,						unk_token=lowerCamelCase__			,						bos_token=lowerCamelCase__			,						eos_token=lowerCamelCase__			,						add_prefix_space=lowerCamelCase__			,						**lowerCamelCase__			,						)

							__lowerCamelCase		       =    json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()							)
							if pre_tok_state.get('add_prefix_space'			,						lowerCamelCase__							) != add_prefix_space:
											__lowerCamelCase		       =    getattr(lowerCamelCase__			,						pre_tok_state.pop('type'							)							)
											__lowerCamelCase		       =    add_prefix_space
											__lowerCamelCase		       =    pre_tok_class(**lowerCamelCase__							)

							__lowerCamelCase		       =    add_prefix_space


			def       lowercase_    (      self			,						lowerCamelCase__			,						lowerCamelCase__ = None							)    ->      Tuple[str]:



							'''simple docstring'''
							__lowerCamelCase		       =    self._tokenizer.model.save(lowerCamelCase__			,						name=lowerCamelCase__							)
							return tuple(lowerCamelCase__							)






			def       lowercase_    (      self			,						lowerCamelCase__							)    ->      List[int]:



							'''simple docstring'''
							__lowerCamelCase		       =    []
							for is_user, text in conversation.iter_texts():
											input_ids.extend(self.encode(lowerCamelCase__			,						add_special_tokens=lowerCamelCase__							) + [self.eos_token_id]							)

							if len(lowerCamelCase__							) > self.model_max_length:
											__lowerCamelCase		       =    input_ids[-self.model_max_length :]
							return input_ids


