




import json
import os
import shutil
import tempfile
import unittest

from transformers import BatchEncoding, CanineTokenizer
from transformers.testing_utils import require_tokenizers, require_torch
from transformers.tokenization_utils import AddedToken
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin




class 					snake_case__							(snake_case_					, unittest.TestCase     ):
    """simple docstring"""



    SCREAMING_SNAKE_CASE_ :							Union[str, Any]											=      CanineTokenizer
    SCREAMING_SNAKE_CASE_ :							Any											=      False





    def 							__UpperCAmelCase							(   self       :  Tuple							)      ->  List[str]:
       super().setUp()
       a					=    CanineTokenizer()
       tokenizer.save_pretrained(self.tmpdirname							)





    @cached_property
    def 							__UpperCAmelCase							(   self       :  Optional[Any]							)      ->  int:
       return CanineTokenizer.from_pretrained("google/canine-s"							)





    def 							__UpperCAmelCase							(   self       :  Optional[Any]      ,   **__lowerCamelCase       :  Dict							)      ->  List[str]:
       a					=    self.tokenizer_class.from_pretrained(self.tmpdirname      ,   **__lowerCamelCase							)
       a					=    10_24
       return tokenizer





    @require_torch
    def 							__UpperCAmelCase							(   self       :  Optional[int]							)      ->  Tuple:
       a					=    self.canine_tokenizer
       a					=    ["Life is like a box of chocolates.", "You never know what you're gonna get."]
       # fmt: off
       a					=    [5_73_44, 76, 1_05, 1_02, 1_01, 32, 1_05, 1_15, 32, 1_08, 1_05, 1_07, 1_01, 32, 97, 32, 98, 1_11, 1_20, 32, 1_11, 1_02, 32, 99, 1_04, 1_11, 99, 1_11, 1_08, 97, 1_16, 1_01, 1_15, 46, 5_73_45, 0, 0, 0, 0]
       # fmt: on
       a					=    tokenizer(__lowerCamelCase      ,   padding=__lowerCamelCase      ,   return_tensors="pt"							)
       self.assertIsInstance(__lowerCamelCase      ,   __lowerCamelCase							)

       a					=    list(batch.input_ids.numpy()[0]							)

       self.assertListEqual(__lowerCamelCase      ,   __lowerCamelCase							)

       self.assertEqual((2, 39)      ,   batch.input_ids.shape							)
       self.assertEqual((2, 39)      ,   batch.attention_mask.shape							)





    @require_torch
    def 							__UpperCAmelCase							(   self       :  List[Any]							)      ->  int:
       a					=    self.canine_tokenizer
       a					=    ["Once there was a man.", "He wrote a test in HuggingFace Tranformers."]
       a					=    tokenizer(__lowerCamelCase      ,   padding=__lowerCamelCase      ,   return_tensors="pt"							)
       # check if input_ids, attention_mask and token_type_ids are returned
       self.assertIn("input_ids"      ,   __lowerCamelCase							)
       self.assertIn("attention_mask"      ,   __lowerCamelCase							)
       self.assertIn("token_type_ids"      ,   __lowerCamelCase							)





    @require_torch
    def 							__UpperCAmelCase							(   self       :  List[Any]							)      ->  List[Any]:
       a					=    self.canine_tokenizer
       a					=    [
           "What's the weater?",
           "It's about 25 degrees.",
       ]
       a					=    tokenizer(
           text_target=__lowerCamelCase      ,   max_length=32      ,   padding="max_length"      ,   truncation=__lowerCamelCase      ,   return_tensors="pt"							)
       self.assertEqual(32      ,   targets["input_ids"].shape[1]							)





    def 							__UpperCAmelCase							(   self       :  List[str]							)      ->  Tuple:
       # safety check on max_len default value so we are sure the test works
       a					=    self.get_tokenizers()
       for tokenizer in tokenizers:
          with self.subTest(f"""{tokenizer.__class__.__name__}"""							):
             self.assertNotEqual(tokenizer.model_max_length      ,   42							)

        # Now let's start the test
       a					=    self.get_tokenizers()
       for tokenizer in tokenizers:
          with self.subTest(f"""{tokenizer.__class__.__name__}"""							):
             # Isolate this from the other tests because we save additional tokens/etc
             a					=    tempfile.mkdtemp()

             a					=    " He is very happy, UNwant\u00E9d,running"
             a					=    tokenizer.encode(__lowerCamelCase      ,   add_special_tokens=__lowerCamelCase							)
             tokenizer.save_pretrained(__lowerCamelCase							)

             a					=    tokenizer.__class__.from_pretrained(__lowerCamelCase							)
             a					=    after_tokenizer.encode(__lowerCamelCase      ,   add_special_tokens=__lowerCamelCase							)
             self.assertListEqual(__lowerCamelCase      ,   __lowerCamelCase							)

             shutil.rmtree(__lowerCamelCase							)

       a					=    self.get_tokenizers(model_max_length=42							)
       for tokenizer in tokenizers:
          with self.subTest(f"""{tokenizer.__class__.__name__}"""							):
             # Isolate this from the other tests because we save additional tokens/etc
             a					=    tempfile.mkdtemp()

             a					=    " He is very happy, UNwant\u00E9d,running"

             a					=    tokenizer.additional_special_tokens

             # We can add a new special token for Canine as follows:
             a					=    chr(0Xe0_07							)
             additional_special_tokens.append(__lowerCamelCase							)
             tokenizer.add_special_tokens({"additional_special_tokens": additional_special_tokens}							)
             a					=    tokenizer.encode(__lowerCamelCase      ,   add_special_tokens=__lowerCamelCase							)
             tokenizer.save_pretrained(__lowerCamelCase							)

             a					=    tokenizer.__class__.from_pretrained(__lowerCamelCase							)
             a					=    after_tokenizer.encode(__lowerCamelCase      ,   add_special_tokens=__lowerCamelCase							)
             self.assertListEqual(__lowerCamelCase      ,   __lowerCamelCase							)
             self.assertIn(__lowerCamelCase      ,   after_tokenizer.additional_special_tokens							)
             self.assertEqual(after_tokenizer.model_max_length      ,   42							)

             a					=    tokenizer.__class__.from_pretrained(__lowerCamelCase      ,   model_max_length=43							)
             self.assertEqual(tokenizer.model_max_length      ,   43							)

             shutil.rmtree(__lowerCamelCase							)





    def 							__UpperCAmelCase							(   self       :  Union[str, Any]							)      ->  Any:
       a					=    self.get_tokenizers(do_lower_case=__lowerCamelCase							)
       for tokenizer in tokenizers:
          with self.subTest(f"""{tokenizer.__class__.__name__}"""							):
             a					,	a					=    self.get_clean_sequence(__lowerCamelCase							)

             # a special token for Canine can be defined as follows:
             a					=    0Xe0_05
             a					=    chr(__lowerCamelCase							)

             tokenizer.add_special_tokens({"cls_token": special_token}							)
             a					=    tokenizer.encode(__lowerCamelCase      ,   add_special_tokens=__lowerCamelCase							)
             self.assertEqual(len(__lowerCamelCase							)      ,   1							)

             a					=    tokenizer.decode(ids + encoded_special_token      ,   clean_up_tokenization_spaces=__lowerCamelCase							)
             a					=    tokenizer.encode(__lowerCamelCase      ,   add_special_tokens=__lowerCamelCase							)

             a					=    tokenizer.encode(__lowerCamelCase      ,   add_special_tokens=__lowerCamelCase							)
             a					=    tokenizer.encode(__lowerCamelCase      ,   add_special_tokens=__lowerCamelCase							)
             self.assertEqual(__lowerCamelCase      ,   input_encoded + special_token_id							)

             a					=    tokenizer.decode(__lowerCamelCase      ,   skip_special_tokens=__lowerCamelCase							)
             self.assertTrue(special_token not in decoded							)





    def 							__UpperCAmelCase							(   self       :  Optional[Any]							)      ->  Union[str, Any]:
       a					=    self.get_tokenizers(do_lower_case=__lowerCamelCase							)
       for tokenizer in tokenizers:
          with self.subTest(f"""{tokenizer.__class__.__name__}"""							):
             a					=    chr(0Xe0_05							)
             a					=    chr(0Xe0_06							)

             # `add_tokens` method stores special tokens only in `tokenizer.unique_no_split_tokens`. (in tokenization_utils.py)
             tokenizer.add_tokens([SPECIAL_TOKEN_1]      ,   special_tokens=__lowerCamelCase							)
             # `add_special_tokens` method stores special tokens in `tokenizer.additional_special_tokens`,
             # which also occur in `tokenizer.all_special_tokens`. (in tokenization_utils_base.py)
             tokenizer.add_special_tokens({"additional_special_tokens": [SPECIAL_TOKEN_2]}							)

             a					=    tokenizer.tokenize(__lowerCamelCase							)
             a					=    tokenizer.tokenize(__lowerCamelCase							)

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





    @require_tokenizers
    def 							__UpperCAmelCase							(   self       :  List[Any]							)      ->  int:
       a					=    self.get_tokenizers(do_lower_case=__lowerCamelCase							)
       for tokenizer in tokenizers:
          with self.subTest(f"""{tokenizer.__class__.__name__}"""							):
             # a special token for Canine can be defined as follows:
             a					=    0Xe0_06
             a					=    chr(__lowerCamelCase							)

             a					=    AddedToken(__lowerCamelCase      ,   lstrip=__lowerCamelCase							)
             tokenizer.add_special_tokens({"additional_special_tokens": [new_token]}							)

             with tempfile.TemporaryDirectory() as tmp_dir_name:
                tokenizer.save_pretrained(__lowerCamelCase							)
                tokenizer.from_pretrained(__lowerCamelCase							)





    def 							__UpperCAmelCase							(   self       :  str							)      ->  Union[str, Any]:
       a					=    []
       if self.test_slow_tokenizer:
          tokenizer_list.append((self.tokenizer_class, self.get_tokenizer())							)

       if self.test_rust_tokenizer:
          tokenizer_list.append((self.rust_tokenizer_class, self.get_rust_tokenizer())							)

       for tokenizer_class, tokenizer_utils in tokenizer_list:
          with tempfile.TemporaryDirectory() as tmp_dir:
             tokenizer_utils.save_pretrained(__lowerCamelCase							)

             with open(os.path.join(__lowerCamelCase      ,   "special_tokens_map.json"							)      ,   encoding="utf-8"							) as json_file:
                a					=    json.load(__lowerCamelCase							)

             with open(os.path.join(__lowerCamelCase      ,   "tokenizer_config.json"							)      ,   encoding="utf-8"							) as json_file:
                a					=    json.load(__lowerCamelCase							)

             # a special token for Canine can be defined as follows:
             a					=    0Xe0_06
             a					=    chr(__lowerCamelCase							)

             a					=    [new_token_a]
             a					=    [new_token_a]

             with open(os.path.join(__lowerCamelCase      ,   "special_tokens_map.json"							)      ,   "w"      ,   encoding="utf-8"							) as outfile:
                json.dump(__lowerCamelCase      ,   __lowerCamelCase							)
             with open(os.path.join(__lowerCamelCase      ,   "tokenizer_config.json"							)      ,   "w"      ,   encoding="utf-8"							) as outfile:
                json.dump(__lowerCamelCase      ,   __lowerCamelCase							)

             # the following checks allow us to verify that our test works as expected, i.e. that the tokenizer takes
             # into account the new value of additional_special_tokens given in the "tokenizer_config.json" and
             # "special_tokens_map.json" files
             a					=    tokenizer_class.from_pretrained(__lowerCamelCase      ,   extra_ids=0							)
             self.assertIn(__lowerCamelCase      ,   tokenizer_without_change_in_init.additional_special_tokens							)
             # self.assertIn("an_additional_special_token",tokenizer_without_change_in_init.get_vocab()) # ByT5Tokenization no vocab
             self.assertEqual(
                 [new_token_a]      ,   tokenizer_without_change_in_init.convert_ids_to_tokens(
                     tokenizer_without_change_in_init.convert_tokens_to_ids([new_token_a]							)							)      ,   )

             a					=    0Xe0_07
             a					=    chr(__lowerCamelCase							)
             # Now we test that we can change the value of additional_special_tokens in the from_pretrained
             a					=    [AddedToken(__lowerCamelCase      ,   lstrip=__lowerCamelCase							)]
             a					=    tokenizer_class.from_pretrained(
                 __lowerCamelCase      ,   additional_special_tokens=__lowerCamelCase      ,   extra_ids=0							)

             self.assertIn(__lowerCamelCase      ,   tokenizer.additional_special_tokens							)
             # self.assertIn(new_token_2,tokenizer.get_vocab()) # ByT5Tokenization no vocab
             self.assertEqual(
                 [new_token_a]      ,   tokenizer.convert_ids_to_tokens(tokenizer.convert_tokens_to_ids([new_token_a]							)							)							)





    @require_tokenizers
    def 							__UpperCAmelCase							(   self       :  List[Any]							)      ->  List[str]:
       a					=    self.get_tokenizers(do_lower_case=__lowerCamelCase							)
       for tokenizer in tokenizers:
          with self.subTest(f"""{tokenizer.__class__.__name__}"""							):
             a					=    "hello world"
             if self.space_between_special_tokens:
                a					=    "[CLS] hello world [SEP]"
             else:
                a					=    input
             a					=    tokenizer.encode(__lowerCamelCase      ,   add_special_tokens=__lowerCamelCase							)
             a					=    tokenizer.decode(__lowerCamelCase      ,   spaces_between_special_tokens=self.space_between_special_tokens							)
             self.assertIn(__lowerCamelCase      ,   [output, output.lower()]							)





    def 							__UpperCAmelCase							(   self       :  Union[str, Any]							)      ->  Optional[Any]:
       a					=    self.get_tokenizers()
       for tokenizer in tokenizers:
          with self.subTest(f"""{tokenizer.__class__.__name__}"""							):
             a					=    [
                 "bos_token",
                 "eos_token",
                 "unk_token",
                 "sep_token",
                 "pad_token",
                 "cls_token",
                 "mask_token",
             ]

       a					=    "a"
       a					=    ord(__lowerCamelCase							)

       for attr in attributes_list:
          setattr(__lowerCamelCase      ,   attr + "_id"      ,   __lowerCamelCase							)
          self.assertEqual(getattr(__lowerCamelCase      ,   __lowerCamelCase							)      ,   __lowerCamelCase							)
          self.assertEqual(getattr(__lowerCamelCase      ,   attr + "_id"							)      ,   __lowerCamelCase							)

          setattr(__lowerCamelCase      ,   attr + "_id"      ,   __lowerCamelCase							)
          self.assertEqual(getattr(__lowerCamelCase      ,   __lowerCamelCase							)      ,   __lowerCamelCase							)
          self.assertEqual(getattr(__lowerCamelCase      ,   attr + "_id"							)      ,   __lowerCamelCase							)

       setattr(__lowerCamelCase      ,   "additional_special_tokens_ids"      ,   []							)
       self.assertListEqual(getattr(__lowerCamelCase      ,   "additional_special_tokens"							)      ,   []							)
       self.assertListEqual(getattr(__lowerCamelCase      ,   "additional_special_tokens_ids"							)      ,   []							)

       a					=    0Xe0_06
       a					=    chr(__lowerCamelCase							)
       setattr(__lowerCamelCase      ,   "additional_special_tokens_ids"      ,   [additional_special_token_id]							)
       self.assertListEqual(getattr(__lowerCamelCase      ,   "additional_special_tokens"							)      ,   [additional_special_token]							)
       self.assertListEqual(getattr(__lowerCamelCase      ,   "additional_special_tokens_ids"							)      ,   [additional_special_token_id]							)





    def 							__UpperCAmelCase							(   self       :  Any							)      ->  Optional[int]:
       pass





    def 							__UpperCAmelCase							(   self       :  str							)      ->  List[str]:
       pass





    def 							__UpperCAmelCase							(   self       :  Tuple							)      ->  int:
       pass





    def 							__UpperCAmelCase							(   self       :  int							)      ->  int:
       pass





    def 							__UpperCAmelCase							(   self       :  str							)      ->  List[Any]:
       pass





    def 							__UpperCAmelCase							(   self       :  Dict							)      ->  int:
       pass





    def 							__UpperCAmelCase							(   self       :  Dict							)      ->  Optional[int]:
       pass





    def 							__UpperCAmelCase							(   self       :  Optional[Any]							)      ->  Any:
       pass












def     __magic_name__       (				A	:      int,						A	:      int,						A	:      int     ):






			'''simple docstring'''







			if exponent == 1:
						return base
			if exponent % 2 == 0:
						a					=    _modexpt(A,						exponent // 2,						A     ) % modulo_value
						return (x * x) % modulo_value
			else:
						return (base * _modexpt(A,						exponent - 1,						A     )) % modulo_value




def     __magic_name__       (				A	:      int = 1777,						A	:      int = 1855,						A	:      int = 8     ):






			'''simple docstring'''







			a					=    base
			for _ in range(1,						A     ):
						a					=    _modexpt(A,						A,						10**digits     )

			return result


if __name__ == "__main__":
		print(F'''{solution() = }''')






