
"""simple docstring"""





import os
import tempfile
import unittest
from typing import List

from transformers.models.esm.tokenization_esm import VOCAB_FILES_NAMES, EsmTokenizer
from transformers.testing_utils import require_tokenizers
from transformers.tokenization_utils import PreTrainedTokenizer
from transformers.tokenization_utils_base import PreTrainedTokenizerBase


@require_tokenizers
class A_			(unittest.TestCase   ):




  '''simple docstring'''
  SCREAMING_SNAKE_CASE__    :		Union[str, Any]						  =	EsmTokenizer







  def  UpperCamelCase__      (	self						):

     """simple docstring"""
     super().setUp()
     UpperCAmelCase_      :      str      =					tempfile.mkdtemp()
     # fmt: off
     UpperCAmelCase_      :      List[str]      =					["<cls>", "<pad>", "<eos>", "<unk>", "L", "A", "G", "V", "S", "E", "R", "T", "I", "D", "P", "K", "Q", "N", "F", "Y", "M", "H", "W", "C", "X", "B", "U", "Z", "O", ".", "-", "<null_1>", "<mask>"]  # noqa: E501
     # fmt: on
     UpperCAmelCase_      :      Union[str, Any]      =					os.path.join(self.tmpdirname       ,     VOCAB_FILES_NAMES["vocab_file"]						)
     with open(self.vocab_file       ,     "w"       ,     encoding="utf-8"						) as vocab_writer:
        vocab_writer.write("".join([x + "\n" for x in vocab_tokens]						)						)







  def  UpperCamelCase__      (	self       ,     **lowercase_						):

     """simple docstring"""
     return [self.get_tokenizer(**UpperCAmelCase_						)]







  def  UpperCamelCase__      (	self       ,     **lowercase_						):

     """simple docstring"""
     return self.tokenizer_class.from_pretrained(self.tmpdirname       ,     **UpperCAmelCase_						)







  def  UpperCamelCase__      (	self						):

     """simple docstring"""
     UpperCAmelCase_      :      Optional[Any]      =					self.tokenizer_class(self.vocab_file						)

     UpperCAmelCase_      :      Tuple      =					tokenizer.tokenize("LAGVS"						)
     self.assertListEqual(UpperCAmelCase_       ,     ["L", "A", "G", "V", "S"]						)
     self.assertListEqual(tokenizer.convert_tokens_to_ids(UpperCAmelCase_						)       ,     [4, 5, 6, 7, 8]						)







  def  UpperCamelCase__      (	self						):

     """simple docstring"""
     UpperCAmelCase_      :      Union[str, Any]      =					self.tokenizer_class(self.vocab_file						)

     UpperCAmelCase_      :      int      =					'LAGVS'
     self.assertListEqual(tokenizer.encode(UpperCAmelCase_						)       ,     [0, 4, 5, 6, 7, 8, 2]						)







  def  UpperCamelCase__      (	self						):

     """simple docstring"""
     UpperCAmelCase_      :      Any      =					self.tokenizer_class(self.vocab_file						)

     UpperCAmelCase_      :      Optional[Any]      =					['LAGVS', 'WCB']
     UpperCAmelCase_      :      List[Any]      =					tokenizer(UpperCAmelCase_       ,     padding=UpperCAmelCase_						)['input_ids']

     self.assertListEqual(UpperCAmelCase_       ,     [[0, 4, 5, 6, 7, 8, 2], [0, 22, 23, 25, 2]]						)







  def  UpperCamelCase__      (	self						):

     """simple docstring"""
     UpperCAmelCase_      :      Tuple      =					self.tokenizer_class(self.vocab_file						)

     UpperCAmelCase_      :      Optional[Any]      =					['LAGVS', 'WCB']
     UpperCAmelCase_      :      Tuple      =					tokenizer(UpperCAmelCase_       ,     padding=UpperCAmelCase_						)['input_ids']

     self.assertListEqual(UpperCAmelCase_       ,     [[0, 4, 5, 6, 7, 8, 2], [0, 22, 23, 25, 2, 1, 1]]						)







  def  UpperCamelCase__      (	self						):

     """simple docstring"""
     UpperCAmelCase_      :      Union[str, Any]      =					self.get_tokenizers(fast=UpperCAmelCase_						)
     for tokenizer in tokenizers:
        with self.subTest(F"""{tokenizer.__class__.__name__}"""						):
           UpperCAmelCase_      :      int      =					'<unk>'
           UpperCAmelCase_      :      Any      =					'<mask>'

           UpperCAmelCase_      :      Optional[Any]      =					tokenizer.tokenize(UpperCAmelCase_						)
           UpperCAmelCase_      :      Dict      =					tokenizer.tokenize(UpperCAmelCase_						)

           self.assertEqual(len(UpperCAmelCase_						)       ,     1						)
           self.assertEqual(len(UpperCAmelCase_						)       ,     1						)
           self.assertEqual(token_a[0]       ,     UpperCAmelCase_						)
           self.assertEqual(token_a[0]       ,     UpperCAmelCase_						)




"""simple docstring"""





from string import ascii_uppercase







def 			__a  (	__lowerCamelCase,	__lowerCamelCase,	__lowerCamelCase = False,	__lowerCamelCase = ascii_uppercase						):
   UpperCAmelCase_      :      List[str]      =					keyword.upper()
   UpperCAmelCase_      :      str      =					plaintext.upper()
   UpperCAmelCase_      :      Tuple      =					set(__lowerCamelCase						)

   # create a list of unique characters in the keyword - their order matters
   # it determines how we will map plaintext characters to the ciphertext
   UpperCAmelCase_      :      Tuple      =					[]
   for char in keyword:
      if char in alphabet_set and char not in unique_chars:
         unique_chars.append(__lowerCamelCase						)
    # the number of those unique characters will determine the number of rows
   UpperCAmelCase_      :      Union[str, Any]      =					len(__lowerCamelCase						)

   # create a shifted version of the alphabet
   UpperCAmelCase_      :      Tuple      =					unique_chars + [
       char for char in alphabet if char not in unique_chars
   ]

   # create a modified alphabet by splitting the shifted alphabet into rows
   UpperCAmelCase_      :      List[str]      =					[
       shifted_alphabet[k : k + num_unique_chars_in_keyword]
       for k in range(0,	26,	__lowerCamelCase						)
   ]

   # map the alphabet characters to the modified alphabet characters
   # going 'vertically' through the modified alphabet - consider columns first
   UpperCAmelCase_      :      Tuple      =					{}
   UpperCAmelCase_      :      Dict      =					0
   for column in range(__lowerCamelCase						):
      for row in modified_alphabet:
         # if current row (the last one) is too short, break out of loop
         if len(__lowerCamelCase						) <= column:
            break

         # map current letter to letter in modified alphabet
         UpperCAmelCase_      :      Tuple      =					row[column]
         letter_index += 1

   if verbose:
      print(__lowerCamelCase						)
   # create the encrypted text by mapping the plaintext to the modified alphabet
   return "".join(mapping[char] if char in mapping else char for char in plaintext						)


if __name__ == "__main__":
    # example use
    print(mixed_keyword('college', 'UNIVERSITY'))


