'''simple docstring'''





import itertools
import json
import os
import unittest

from transformers import AddedToken, LongformerTokenizer, LongformerTokenizerFast
from transformers.models.longformer.tokenization_longformer import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin




@require_tokenizers
class        __A      ( UpperCamelCase__		,	unittest.TestCase	):
    a__       :						List[str]          =  LongformerTokenizer
    a__       :						int          =  True
    a__       :						Union[str, Any]          =  LongformerTokenizerFast
    a__       :						Dict          =  True



    def 					_lowercase						(self    :    Optional[int] ):
         super().setUp()

         # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
         UpperCAmelCase_           =   [
             "l",
             "o",
             "w",
             "e",
             "r",
             "s",
             "t",
             "i",
             "d",
             "n",
             "\u0120",
             "\u0120l",
             "\u0120n",
             "\u0120lo",
             "\u0120low",
             "er",
             "\u0120lowest",
             "\u0120newer",
             "\u0120wider",
             "<unk>",
         ]
         UpperCAmelCase_           =   dict(zip(__a   ,			range(len(__a ) ) ) )
         UpperCAmelCase_           =   ["#version: 0.2", "\u0120 l", "\u0120l o", "\u0120lo w", "e r", ""]
         UpperCAmelCase_           =   {"unk_token": "<unk>"}

         UpperCAmelCase_           =   os.path.join(self.tmpdirname   ,			VOCAB_FILES_NAMES["vocab_file"] )
         UpperCAmelCase_           =   os.path.join(self.tmpdirname   ,			VOCAB_FILES_NAMES["merges_file"] )
         with open(self.vocab_file   ,			"w"   ,			encoding="utf-8" ) as fp:
              fp.write(json.dumps(__a ) + "\n" )
         with open(self.merges_file   ,			"w"   ,			encoding="utf-8" ) as fp:
              fp.write("\n".join(__a ) )



    def 					_lowercase						(self    :    Optional[int]   ,			**__a    :    Optional[Any] ):
         kwargs.update(self.special_tokens_map )
         return self.tokenizer_class.from_pretrained(self.tmpdirname   ,			**__a )



    def 					_lowercase						(self    :    str   ,			**__a    :    str ):
         kwargs.update(self.special_tokens_map )
         return self.rust_tokenizer_class.from_pretrained(self.tmpdirname   ,			**__a )



    def 					_lowercase						(self    :    Dict   ,			__a    :    List[Any] ):
         UpperCAmelCase_           =   "lower newer"
         UpperCAmelCase_           =   "lower newer"
         return input_text, output_text



    def 					_lowercase						(self    :    List[str] ):
         UpperCAmelCase_           =   self.tokenizer_class(self.vocab_file   ,			self.merges_file   ,			**self.special_tokens_map )
         UpperCAmelCase_           =   "lower newer"
         UpperCAmelCase_           =   ["l", "o", "w", "er", "\u0120", "n", "e", "w", "er"]
         UpperCAmelCase_           =   tokenizer.tokenize(__a )  # , add_prefix_space=True)
         self.assertListEqual(__a   ,			__a )

         UpperCAmelCase_           =   tokens + [tokenizer.unk_token]
         UpperCAmelCase_           =   [0, 1, 2, 15, 10, 9, 3, 2, 15, 19]
         self.assertListEqual(tokenizer.convert_tokens_to_ids(__a )   ,			__a )



    def 					_lowercase						(self    :    Union[str, Any] ):
         UpperCAmelCase_           =   self.get_tokenizer()

         self.assertListEqual(tokenizer.encode("Hello world!"   ,			add_special_tokens=__a )   ,			[0, 31414, 232, 328, 2] )
         self.assertListEqual(
             tokenizer.encode("Hello world! cécé herlolip 418"   ,			add_special_tokens=__a )   ,			[0, 31414, 232, 328, 740, 1140, 12695, 69, 46078, 1588, 2]   ,			)



    @slow
    def 					_lowercase						(self    :    Dict ):
         UpperCAmelCase_           =   self.tokenizer_class.from_pretrained("allenai/longformer-base-4096" )

         UpperCAmelCase_           =   tokenizer.encode("sequence builders"   ,			add_special_tokens=__a )
         UpperCAmelCase_           =   tokenizer.encode("multi-sequence build"   ,			add_special_tokens=__a )

         UpperCAmelCase_           =   tokenizer.encode(
             "sequence builders"   ,			add_special_tokens=__a   ,			add_prefix_space=__a )
         UpperCAmelCase_           =   tokenizer.encode(
             "sequence builders"   ,			"multi-sequence build"   ,			add_special_tokens=__a   ,			add_prefix_space=__a )

         UpperCAmelCase_           =   tokenizer.build_inputs_with_special_tokens(__a )
         UpperCAmelCase_           =   tokenizer.build_inputs_with_special_tokens(__a   ,			__a )

         assert encoded_sentence == encoded_text_from_decode
         assert encoded_pair == encoded_pair_from_decode



    def 					_lowercase						(self    :    List[Any] ):
         UpperCAmelCase_           =   self.get_tokenizer()

         UpperCAmelCase_           =   "Encode this sequence."
         UpperCAmelCase_           =   tokenizer.byte_encoder[" ".encode("utf-8" )[0]]

         # Testing encoder arguments
         UpperCAmelCase_           =   tokenizer.encode(__a   ,			add_special_tokens=__a   ,			add_prefix_space=__a )
         UpperCAmelCase_           =   tokenizer.convert_ids_to_tokens(encoded[0] )[0]
         self.assertNotEqual(__a   ,			__a )

         UpperCAmelCase_           =   tokenizer.encode(__a   ,			add_special_tokens=__a   ,			add_prefix_space=__a )
         UpperCAmelCase_           =   tokenizer.convert_ids_to_tokens(encoded[0] )[0]
         self.assertEqual(__a   ,			__a )

         tokenizer.add_special_tokens({"bos_token": "<s>"} )
         UpperCAmelCase_           =   tokenizer.encode(__a   ,			add_special_tokens=__a )
         UpperCAmelCase_           =   tokenizer.convert_ids_to_tokens(encoded[1] )[0]
         self.assertNotEqual(__a   ,			__a )

         # Testing spaces after special tokens
         UpperCAmelCase_           =   "<mask>"
         tokenizer.add_special_tokens(
             {"mask_token": AddedToken(__a   ,			lstrip=__a   ,			rstrip=__a )} )  # mask token has a left space
         UpperCAmelCase_           =   tokenizer.convert_tokens_to_ids(__a )

         UpperCAmelCase_           =   "Encode <mask> sequence"
         UpperCAmelCase_           =   "Encode <mask>sequence"

         UpperCAmelCase_           =   tokenizer.encode(__a )
         UpperCAmelCase_           =   encoded.index(__a )
         UpperCAmelCase_           =   tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1] )[0]
         self.assertEqual(__a   ,			__a )

         UpperCAmelCase_           =   tokenizer.encode(__a )
         UpperCAmelCase_           =   encoded.index(__a )
         UpperCAmelCase_           =   tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1] )[0]
         self.assertNotEqual(__a   ,			__a )



    def 					_lowercase						(self    :    Tuple ):
         pass



    def 					_lowercase						(self    :    List[Any] ):
         for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
              with self.subTest(f"""{tokenizer.__class__.__name__} ({pretrained_name})""" ):
                   UpperCAmelCase_           =   self.rust_tokenizer_class.from_pretrained(__a   ,			**__a )
                   UpperCAmelCase_           =   self.tokenizer_class.from_pretrained(__a   ,			**__a )
                   UpperCAmelCase_           =   "A, <mask> AllenNLP sentence."
                   UpperCAmelCase_           =   tokenizer_r.encode_plus(__a   ,			add_special_tokens=__a   ,			return_token_type_ids=__a )
                   UpperCAmelCase_           =   tokenizer_p.encode_plus(__a   ,			add_special_tokens=__a   ,			return_token_type_ids=__a )

                   # token_type_ids should put 0 everywhere
                   self.assertEqual(sum(tokens_r["token_type_ids"] )   ,			sum(tokens_p["token_type_ids"] ) )

                   # attention_mask should put 1 everywhere, so sum over length should be 1
                   self.assertEqual(
                       sum(tokens_r["attention_mask"] ) / len(tokens_r["attention_mask"] )   ,			sum(tokens_p["attention_mask"] ) / len(tokens_p["attention_mask"] )   ,			)

                   UpperCAmelCase_           =   tokenizer_r.convert_ids_to_tokens(tokens_r["input_ids"] )
                   UpperCAmelCase_           =   tokenizer_p.convert_ids_to_tokens(tokens_p["input_ids"] )

                   # Rust correctly handles the space before the mask while python doesnt
                   self.assertSequenceEqual(tokens_p["input_ids"]   ,			[0, 250, 6, 50264, 3823, 487, 21992, 3645, 4, 2] )
                   self.assertSequenceEqual(tokens_r["input_ids"]   ,			[0, 250, 6, 50264, 3823, 487, 21992, 3645, 4, 2] )

                   self.assertSequenceEqual(
                       __a   ,			["<s>", "A", ",", "<mask>", "ĠAllen", "N", "LP", "Ġsentence", ".", "</s>"] )
                   self.assertSequenceEqual(
                       __a   ,			["<s>", "A", ",", "<mask>", "ĠAllen", "N", "LP", "Ġsentence", ".", "</s>"] )



    def 					_lowercase						(self    :    int ):
         for trim_offsets, add_prefix_space in itertools.product([True, False]   ,			repeat=2 ):
              UpperCAmelCase_           =   self.rust_tokenizer_class.from_pretrained(
                  self.tmpdirname   ,			use_fast=__a   ,			add_prefix_space=__a   ,			trim_offsets=__a )

              UpperCAmelCase_           =   json.loads(tokenizer_r.backend_tokenizer.pre_tokenizer.__getstate__() )
              UpperCAmelCase_           =   json.loads(tokenizer_r.backend_tokenizer.post_processor.__getstate__() )

              self.assertEqual(pre_tokenizer_state["add_prefix_space"]   ,			__a )

              self.assertEqual(post_processor_state["add_prefix_space"]   ,			__a )
              self.assertEqual(post_processor_state["trim_offsets"]   ,			__a )






    def 					_lowercase						(self    :    Tuple ):
         # Test which aims to verify that the offsets are well adapted to the argument `add_prefix_space` and
         # `trim_offsets`
         for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
              with self.subTest(f"""{tokenizer.__class__.__name__} ({pretrained_name})""" ):
                   UpperCAmelCase_           =   "hello"  # `hello` is a token in the vocabulary of `pretrained_name`
                   UpperCAmelCase_           =   f"""{text_of_1_token} {text_of_1_token}"""

                   UpperCAmelCase_           =   self.rust_tokenizer_class.from_pretrained(
                       __a   ,			use_fast=__a   ,			add_prefix_space=__a   ,			trim_offsets=__a )
                   UpperCAmelCase_           =   tokenizer_r(__a   ,			return_offsets_mapping=__a   ,			add_special_tokens=__a )
                   self.assertEqual(encoding.offset_mapping[0]   ,			(0, len(__a )) )
                   self.assertEqual(
                       encoding.offset_mapping[1]   ,			(len(__a ) + 1, len(__a ) + 1 + len(__a ))   ,			)

                   UpperCAmelCase_           =   self.rust_tokenizer_class.from_pretrained(
                       __a   ,			use_fast=__a   ,			add_prefix_space=__a   ,			trim_offsets=__a )
                   UpperCAmelCase_           =   tokenizer_r(__a   ,			return_offsets_mapping=__a   ,			add_special_tokens=__a )
                   self.assertEqual(encoding.offset_mapping[0]   ,			(0, len(__a )) )
                   self.assertEqual(
                       encoding.offset_mapping[1]   ,			(len(__a ) + 1, len(__a ) + 1 + len(__a ))   ,			)

                   UpperCAmelCase_           =   self.rust_tokenizer_class.from_pretrained(
                       __a   ,			use_fast=__a   ,			add_prefix_space=__a   ,			trim_offsets=__a )
                   UpperCAmelCase_           =   tokenizer_r(__a   ,			return_offsets_mapping=__a   ,			add_special_tokens=__a )
                   self.assertEqual(encoding.offset_mapping[0]   ,			(0, len(__a )) )
                   self.assertEqual(
                       encoding.offset_mapping[1]   ,			(len(__a ), len(__a ) + 1 + len(__a ))   ,			)

                   UpperCAmelCase_           =   self.rust_tokenizer_class.from_pretrained(
                       __a   ,			use_fast=__a   ,			add_prefix_space=__a   ,			trim_offsets=__a )
                   UpperCAmelCase_           =   tokenizer_r(__a   ,			return_offsets_mapping=__a   ,			add_special_tokens=__a )
                   self.assertEqual(encoding.offset_mapping[0]   ,			(0, len(__a )) )
                   self.assertEqual(
                       encoding.offset_mapping[1]   ,			(len(__a ), len(__a ) + 1 + len(__a ))   ,			)

                   UpperCAmelCase_           =   f""" {text}"""

                   # tokenizer_r = self.rust_tokenizer_class.from_pretrained(
                   #     pretrained_name, use_fast=True, add_prefix_space=True, trim_offsets=True
                   # )
                   # encoding = tokenizer_r(text, return_offsets_mapping=True, add_special_tokens=False)
                   # self.assertEqual(encoding.offset_mapping[0], (1, 1 + len(text_of_1_token)))
                   # self.assertEqual(
                   #     encoding.offset_mapping[1],
                   #     (1 + len(text_of_1_token) + 1, 1 + len(text_of_1_token) + 1 + len(text_of_1_token)),
                   # )

                   UpperCAmelCase_           =   self.rust_tokenizer_class.from_pretrained(
                       __a   ,			use_fast=__a   ,			add_prefix_space=__a   ,			trim_offsets=__a )
                   UpperCAmelCase_           =   tokenizer_r(__a   ,			return_offsets_mapping=__a   ,			add_special_tokens=__a )
                   self.assertEqual(encoding.offset_mapping[0]   ,			(1, 1 + len(__a )) )
                   self.assertEqual(
                       encoding.offset_mapping[1]   ,			(1 + len(__a ) + 1, 1 + len(__a ) + 1 + len(__a ))   ,			)

                   UpperCAmelCase_           =   self.rust_tokenizer_class.from_pretrained(
                       __a   ,			use_fast=__a   ,			add_prefix_space=__a   ,			trim_offsets=__a )
                   UpperCAmelCase_           =   tokenizer_r(__a   ,			return_offsets_mapping=__a   ,			add_special_tokens=__a )
                   self.assertEqual(encoding.offset_mapping[0]   ,			(0, 1 + len(__a )) )
                   self.assertEqual(
                       encoding.offset_mapping[1]   ,			(1 + len(__a ), 1 + len(__a ) + 1 + len(__a ))   ,			)

                   UpperCAmelCase_           =   self.rust_tokenizer_class.from_pretrained(
                       __a   ,			use_fast=__a   ,			add_prefix_space=__a   ,			trim_offsets=__a )
                   UpperCAmelCase_           =   tokenizer_r(__a   ,			return_offsets_mapping=__a   ,			add_special_tokens=__a )
                   self.assertEqual(encoding.offset_mapping[0]   ,			(0, 1 + len(__a )) )
                   self.assertEqual(
                       encoding.offset_mapping[1]   ,			(1 + len(__a ), 1 + len(__a ) + 1 + len(__a ))   ,			)





'''simple docstring'''





import math





def 	lowerCAmelCase_				(					)    ->      None:


     '''simple docstring'''




     UpperCAmelCase_           =   input("Enter message: "			)
     UpperCAmelCase_           =   int(input(f"""Enter key [2-{len(snake_case_			) - 1}]: """			)			)
     UpperCAmelCase_           =   input("Encryption/Decryption [e/d]: "			)

     if mode.lower().startswith("e"			):
          UpperCAmelCase_           =   encrypt_message(snake_case_					,    snake_case_			)
     elif mode.lower().startswith("d"			):
          UpperCAmelCase_           =   decrypt_message(snake_case_					,    snake_case_			)

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





def 	lowerCAmelCase_				(					snake_case_       : int					,    snake_case_       : str			)    ->      str:


     '''simple docstring'''




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





def 	lowerCAmelCase_				(					snake_case_       : int					,    snake_case_       : str			)    ->      str:


     '''simple docstring'''




     UpperCAmelCase_           =   math.ceil(len(snake_case_			) / key			)
     UpperCAmelCase_           =   key
     UpperCAmelCase_           =   (num_cols * num_rows) - len(snake_case_			)
     UpperCAmelCase_           =   [""] * num_cols
     UpperCAmelCase_           =   0
     UpperCAmelCase_           =   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_           =   0
               row += 1

     return "".join(snake_case_			)


if __name__ == "__main__":
    import doctest

    doctest.testmod()
    main()




