


import json
import os
import unittest

from transformers.models.biogpt.tokenization_biogpt import VOCAB_FILES_NAMES, BioGptTokenizer
from transformers.testing_utils import slow

from ...test_tokenization_common import TokenizerTesterMixin



class        a					(			_UpperCAmelCase     ,unittest.TestCase   ):
     UpperCAmelCase__ :  List[str]						      =	BioGptTokenizer
     UpperCAmelCase__ :  Any						      =	False





     def  SCREAMING_SNAKE_CASE__       (    self					:				Optional[Any]							):
        super().setUp()

        # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
        __lowerCamelCase:				Any     =	[
            """l""",
            """o""",
            """w""",
            """e""",
            """r""",
            """s""",
            """t""",
            """i""",
            """d""",
            """n""",
            """w</w>""",
            """r</w>""",
            """t</w>""",
            """lo""",
            """low""",
            """er</w>""",
            """low</w>""",
            """lowest</w>""",
            """newer</w>""",
            """wider</w>""",
            """<unk>""",
        ]
        __lowerCamelCase:				Any     =	dict(zip(SCREAMING_SNAKE_CASE_    ,	range(len(SCREAMING_SNAKE_CASE_							)							)							)							)
        __lowerCamelCase:				Optional[Any]     =	["""l o 123""", """lo w 1456""", """e r</w> 1789""", """"""]

        __lowerCamelCase:				Union[str, Any]     =	os.path.join(self.tmpdirname    ,	VOCAB_FILES_NAMES["""vocab_file"""]							)
        __lowerCamelCase:				Optional[int]     =	os.path.join(self.tmpdirname    ,	VOCAB_FILES_NAMES["""merges_file"""]							)
        with open(self.vocab_file    ,	"""w"""							) as fp:
           fp.write(json.dumps(SCREAMING_SNAKE_CASE_							)							)
        with open(self.merges_file    ,	"""w"""							) as fp:
           fp.write("""\n""".join(SCREAMING_SNAKE_CASE_							)							)





     def  SCREAMING_SNAKE_CASE__       (    self					:				List[Any]    ,	SCREAMING_SNAKE_CASE_					:				Tuple							):
        __lowerCamelCase:				Dict     =	"""lower newer"""
        __lowerCamelCase:				Dict     =	"""lower newer"""
        return input_text, output_text





     def  SCREAMING_SNAKE_CASE__       (    self					:				int							):
        __lowerCamelCase:				Union[str, Any]     =	BioGptTokenizer(self.vocab_file    ,	self.merges_file							)

        __lowerCamelCase:				str     =	"""lower"""
        __lowerCamelCase:				Any     =	["""low""", """er</w>"""]
        __lowerCamelCase:				Optional[int]     =	tokenizer.tokenize(SCREAMING_SNAKE_CASE_							)
        self.assertListEqual(SCREAMING_SNAKE_CASE_    ,	SCREAMING_SNAKE_CASE_							)

        __lowerCamelCase:				Dict     =	tokens + ["""<unk>"""]
        __lowerCamelCase:				int     =	[14, 15, 20]
        self.assertListEqual(tokenizer.convert_tokens_to_ids(SCREAMING_SNAKE_CASE_							)    ,	SCREAMING_SNAKE_CASE_							)







     @slow
     def  SCREAMING_SNAKE_CASE__       (    self					:				Union[str, Any]							):
        __lowerCamelCase:				Optional[int]     =	BioGptTokenizer.from_pretrained("""microsoft/biogpt"""							)

        __lowerCamelCase:				List[Any]     =	tokenizer.encode("""sequence builders"""    ,	add_special_tokens=SCREAMING_SNAKE_CASE_							)
        __lowerCamelCase:				Optional[int]     =	tokenizer.encode("""multi-sequence build"""    ,	add_special_tokens=SCREAMING_SNAKE_CASE_							)

        __lowerCamelCase:				Optional[int]     =	tokenizer.build_inputs_with_special_tokens(SCREAMING_SNAKE_CASE_							)
        __lowerCamelCase:				str     =	tokenizer.build_inputs_with_special_tokens(SCREAMING_SNAKE_CASE_    ,	SCREAMING_SNAKE_CASE_							)

        self.assertTrue(encoded_sentence == [2] + text							)
        self.assertTrue(encoded_pair == [2] + text + [2] + text_a							)






_A		:				Tuple									=       '''ABCDEFGHIJKLMNOPQRSTUVWXYZ'''



def     __lowerCAmelCase						(							)       ->							None:
   __lowerCamelCase:				Optional[int]     =	input("""Enter message: """ )
   __lowerCamelCase:				Dict     =	input("""Enter key [alphanumeric]: """ )
   __lowerCamelCase:				List[Any]     =	input("""Encrypt/Decrypt [e/d]: """ )

   if mode.lower().startswith("""e""" ):
      __lowerCamelCase:				Optional[int]     =	"""encrypt"""
      __lowerCamelCase:				Optional[int]     =	encrypt_message(snake_case						,      snake_case )
   elif mode.lower().startswith("""d""" ):
      __lowerCamelCase:				Union[str, Any]     =	"""decrypt"""
      __lowerCamelCase:				Optional[Any]     =	decrypt_message(snake_case						,      snake_case )

   print(f'\n{mode.title()}ed message:' )
   print(snake_case )



def     __lowerCAmelCase						(							snake_case	:    str						,      snake_case	:    str )       ->							str:
   return translate_message(snake_case						,      snake_case						,      """encrypt""" )



def     __lowerCAmelCase						(							snake_case	:    str						,      snake_case	:    str )       ->							str:
   return translate_message(snake_case						,      snake_case						,      """decrypt""" )



def     __lowerCAmelCase						(							snake_case	:    str						,      snake_case	:    str						,      snake_case	:    str )       ->							str:
   __lowerCamelCase:				Any     =	[]
   __lowerCamelCase:				Optional[int]     =	0
   __lowerCamelCase:				Any     =	key.upper()

   for symbol in message:
      __lowerCamelCase:				int     =	LETTERS.find(symbol.upper() )
      if num != -1:
         if mode == "encrypt":
            num += LETTERS.find(key[key_index] )
         elif mode == "decrypt":
            num -= LETTERS.find(key[key_index] )

         num %= len(snake_case )

         if symbol.isupper():
            translated.append(LETTERS[num] )
         elif symbol.islower():
            translated.append(LETTERS[num].lower() )

         key_index += 1
         if key_index == len(snake_case ):
            __lowerCamelCase:				Union[str, Any]     =	0
      else:
         translated.append(snake_case )
   return "".join(snake_case )


if __name__ == "__main__":
   main()


