






import unittest

from datasets import load_dataset

from transformers import BloomTokenizerFast
from transformers.testing_utils import require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin


@require_tokenizers
class    __lowercase   (						lowercase_      ,   unittest.TestCase	):







     '''simple docstring'''
     SCREAMING_SNAKE_CASE     =					None
     SCREAMING_SNAKE_CASE     =					BloomTokenizerFast
     SCREAMING_SNAKE_CASE     =					BloomTokenizerFast
     SCREAMING_SNAKE_CASE     =					True
     SCREAMING_SNAKE_CASE     =					False
     SCREAMING_SNAKE_CASE     =					"tokenizer_file"
     SCREAMING_SNAKE_CASE     =					{"bos_token": "<s>", "eos_token": "</s>", "unk_token": "<unk>", "pad_token": "<pad>"}




     def 		lowerCAmelCase_  (					self							:      List[Any]					):


         """simple docstring"""



         super().setUp()
         __A       =						BloomTokenizerFast.from_pretrained("""bigscience/tokenizer"""					)
         tokenizer.save_pretrained(self.tmpdirname					)




     def 		lowerCAmelCase_  (					self							:      str			,						**UpperCamelCase_							:      Union[str, Any]					):


         """simple docstring"""



         kwargs.update(self.special_tokens_map					)
         return BloomTokenizerFast.from_pretrained(self.tmpdirname			,						**UpperCamelCase_					)




     def 		lowerCAmelCase_  (					self							:      int					):


         """simple docstring"""



         __A       =						self.get_rust_tokenizer()

         __A       =						["""The quick brown fox</s>""", """jumps over the lazy dog</s>"""]
         __A       =						[[2_175, 23_714, 73_173, 144_252, 2], [77, 132_619, 3_478, 368, 109_586, 35_433, 2]]

         __A       =						tokenizer.batch_encode_plus(UpperCamelCase_					)["""input_ids"""]
         self.assertListEqual(UpperCamelCase_			,						UpperCamelCase_					)

         __A       =						tokenizer.batch_decode(UpperCamelCase_					)
         self.assertListEqual(UpperCamelCase_			,						UpperCamelCase_					)




     def 		lowerCAmelCase_  (					self							:      Optional[Any]			,						UpperCamelCase_							:      Any=6					):


         """simple docstring"""



         for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
             with self.subTest(F"{tokenizer.__class__.__name__} ({pretrained_name})"					):
                 __A       =						self.rust_tokenizer_class.from_pretrained(UpperCamelCase_			,						**UpperCamelCase_					)
                 # tokenizer_r.pad_token = None # Hotfixing padding = None
                 # Simple input
                 __A       =						"""This is a simple input"""
                 __A       =						["""This is a simple input 1""", """This is a simple input 2"""]
                 __A       =						("""This is a simple input""", """This is a pair""")
                 __A       =						[
                     ("""This is a simple input 1""", """This is a simple input 2"""),
                     ("""This is a simple pair 1""", """This is a simple pair 2"""),
                 ]

                 # Simple input tests
                 try:
                     tokenizer_r.encode(UpperCamelCase_			,						max_length=UpperCamelCase_					)
                     tokenizer_r.encode_plus(UpperCamelCase_			,						max_length=UpperCamelCase_					)

                     tokenizer_r.batch_encode_plus(UpperCamelCase_			,						max_length=UpperCamelCase_					)
                     tokenizer_r.encode(UpperCamelCase_			,						max_length=UpperCamelCase_					)
                     tokenizer_r.batch_encode_plus(UpperCamelCase_			,						max_length=UpperCamelCase_					)
                 except ValueError:
                     self.fail("""Bloom Tokenizer should be able to deal with padding"""					)

                 __A       =						None  # Hotfixing padding = None
                 self.assertRaises(UpperCamelCase_			,						tokenizer_r.encode			,						UpperCamelCase_			,						max_length=UpperCamelCase_			,						padding="""max_length"""					)

                 # Simple input
                 self.assertRaises(UpperCamelCase_			,						tokenizer_r.encode_plus			,						UpperCamelCase_			,						max_length=UpperCamelCase_			,						padding="""max_length"""					)

                 # Simple input
                 self.assertRaises(
                     UpperCamelCase_			,						tokenizer_r.batch_encode_plus			,						UpperCamelCase_			,						max_length=UpperCamelCase_			,						padding="""max_length"""			,						)

                 # Pair input
                 self.assertRaises(UpperCamelCase_			,						tokenizer_r.encode			,						UpperCamelCase_			,						max_length=UpperCamelCase_			,						padding="""max_length"""					)

                 # Pair input
                 self.assertRaises(UpperCamelCase_			,						tokenizer_r.encode_plus			,						UpperCamelCase_			,						max_length=UpperCamelCase_			,						padding="""max_length"""					)

                 # Pair input
                 self.assertRaises(
                     UpperCamelCase_			,						tokenizer_r.batch_encode_plus			,						UpperCamelCase_			,						max_length=UpperCamelCase_			,						padding="""max_length"""			,						)




     def 		lowerCAmelCase_  (					self							:      Tuple					):


         """simple docstring"""



         __A       =						self.get_rust_tokenizer()
         __A       =						load_dataset("""xnli"""			,						"""all_languages"""			,						split="""test"""			,						streaming=UpperCamelCase_					)

         __A       =						next(iter(UpperCamelCase_					)					)["""premise"""]  # pick up one data
         __A       =						list(sample_data.values()					)

         __A       =						list(map(tokenizer.encode			,						UpperCamelCase_					)					)
         __A       =						[tokenizer.decode(UpperCamelCase_			,						clean_up_tokenization_spaces=UpperCamelCase_					) for x in output_tokens]
         self.assertListEqual(UpperCamelCase_			,						UpperCamelCase_					)





     def 		lowerCAmelCase_  (					self							:      Tuple					):


         """simple docstring"""



         self.assertGreaterEqual(len(self.tokenizer_class.pretrained_vocab_files_map					)			,						1					)
         self.assertGreaterEqual(len(list(self.tokenizer_class.pretrained_vocab_files_map.values()					)[0]					)			,						1					)












def       _SCREAMING_SNAKE_CASE    (			__lowercase :      str     )    ->   str:





    """simple docstring"""

    __A       =						""""""
    for ch in key:
        if ch == " " or ch not in key_no_dups and ch.isalpha():
            key_no_dups += ch
    return key_no_dups



def       _SCREAMING_SNAKE_CASE    (			__lowercase :      str     )    ->   dict[str, str]:





    """simple docstring"""

    __A       =						[chr(i + 6_5     ) for i in range(2_6     )]
    # Remove duplicate characters from key
    __A       =						remove_duplicates(key.upper()     )
    __A       =						len(__lowercase     )
    # First fill cipher with key characters
    __A       =						{alphabet[i]: char for i, char in enumerate(__lowercase     )}
    # Then map remaining characters in alphabet to
    # the alphabet from the beginning
    for i in range(len(__lowercase     )      ,					2_6     ):
        __A       =						alphabet[i - offset]
        # Ensure we are not mapping letters to letters previously mapped
        while char in key:
            offset -= 1
            __A       =						alphabet[i - offset]
        __A       =						char
    return cipher_alphabet



def       _SCREAMING_SNAKE_CASE    (			__lowercase :      str      ,					__lowercase :      dict[str, str]     )    ->   str:





    """simple docstring"""

    return "".join(cipher_map.get(__lowercase      ,					__lowercase     ) for ch in message.upper()     )



def       _SCREAMING_SNAKE_CASE    (			__lowercase :      str      ,					__lowercase :      dict[str, str]     )    ->   str:





    """simple docstring"""

    __A       =						{v: k for k, v in cipher_map.items()}
    return "".join(rev_cipher_map.get(__lowercase      ,					__lowercase     ) for ch in message.upper()     )



def       _SCREAMING_SNAKE_CASE    (			)    ->   None:





    """simple docstring"""

    __A       =						input("""Enter message to encode or decode: """     ).strip()
    __A       =						input("""Enter keyword: """     ).strip()
    __A       =						input("""Encipher or decipher? E/D:"""     ).strip()[0].lower()
    try:
        __A       =						{"""e""": encipher, """d""": decipher}[option]
    except KeyError:
        raise KeyError("""invalid input option"""     )
    __A       =						create_cipher_map(__lowercase     )
    print(func(__lowercase      ,					__lowercase     )     )


if __name__ == "__main__":
  import doctest

  doctest.testmod()
  main()




