



"""simple docstring"""
import json
import os
import re
import shutil
import tempfile
import unittest
from typing import Tuple

from transformers import AddedToken, BatchEncoding, ByTaTokenizer
from transformers.utils import cached_property, is_tf_available, is_torch_available

from ...test_tokenization_common import TokenizerTesterMixin


if is_torch_available():
   _UpperCAmelCase     =			"""pt"""
elif is_tf_available():
   _UpperCAmelCase     =			"""tf"""
else:
   _UpperCAmelCase     =			"""jax"""
class 					a	(  UpperCAmelCase__	,      unittest.TestCase       ):
  UpperCamelCase	:				Optional[int]     						=					ByTaTokenizer
  UpperCamelCase	:				Any     						=					False



  def 	lowerCamelCase__       (						self :					Any		)     ->					int:


     '''simple docstring'''




     super().setUp()
     SCREAMING_SNAKE_CASE_: Optional[Any]     			=ByTaTokenizer()
     tokenizer.save_pretrained(self.tmpdirname		)



  @cached_property
  def 	lowerCamelCase__       (						self :					Optional[Any]		)     ->					Dict:


     '''simple docstring'''




     return ByTaTokenizer.from_pretrained("""google/byt5-small"""		)



  def 	lowerCamelCase__       (						self :					List[Any]       ,		**lowerCAmelCase :					Any		)     ->					ByTaTokenizer:


     '''simple docstring'''




     return self.tokenizer_class.from_pretrained(self.tmpdirname       ,		**lowerCAmelCase		)



  def 	lowerCamelCase__       (						self :					str       ,		lowerCAmelCase :					List[Any]       ,		lowerCAmelCase :					Any=False       ,		lowerCAmelCase :					Optional[Any]=20       ,		lowerCAmelCase :					Any=5		)     ->					Tuple[str, list]:


     '''simple docstring'''




     SCREAMING_SNAKE_CASE_: Optional[int]     			=[]
     for i in range(len(lowerCAmelCase		)		):
        try:
           SCREAMING_SNAKE_CASE_: List[str]     			=tokenizer.decode([i]       ,		clean_up_tokenization_spaces=lowerCAmelCase		)
        except UnicodeDecodeError:
           pass
        toks.append((i, tok)		)

     SCREAMING_SNAKE_CASE_: Dict     			=list(filter(lambda lowerCAmelCase		: re.match(R"""^[ a-zA-Z]+$"""       ,		t[1]		)       ,		lowerCAmelCase		)		)
     SCREAMING_SNAKE_CASE_: List[Any]     			=list(filter(lambda lowerCAmelCase		: [t[0]] == tokenizer.encode(t[1]       ,		add_special_tokens=lowerCAmelCase		)       ,		lowerCAmelCase		)		)
     if max_length is not None and len(lowerCAmelCase		) > max_length:
        SCREAMING_SNAKE_CASE_: Union[str, Any]     			=toks[:max_length]
     if min_length is not None and len(lowerCAmelCase		) < min_length and len(lowerCAmelCase		) > 0:
        while len(lowerCAmelCase		) < min_length:
           SCREAMING_SNAKE_CASE_: Dict     			=toks + toks
        # toks_str = [t[1] for t in toks]
     SCREAMING_SNAKE_CASE_: Tuple     			=[t[0] for t in toks]

     # Ensure consistency
     SCREAMING_SNAKE_CASE_: Dict     			=tokenizer.decode(lowerCAmelCase       ,		clean_up_tokenization_spaces=lowerCAmelCase		)
     if " " not in output_txt and len(lowerCAmelCase		) > 1:
        SCREAMING_SNAKE_CASE_: str     			=(
            tokenizer.decode([toks_ids[0]]       ,		clean_up_tokenization_spaces=lowerCAmelCase		)
            + """ """
            + tokenizer.decode(toks_ids[1:]       ,		clean_up_tokenization_spaces=lowerCAmelCase		)
        )
     if with_prefix_space:
        SCREAMING_SNAKE_CASE_: Tuple     			=""" """ + output_txt
     SCREAMING_SNAKE_CASE_: Dict     			=tokenizer.encode(lowerCAmelCase       ,		add_special_tokens=lowerCAmelCase		)
     return output_txt, output_ids



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


     '''simple docstring'''




     SCREAMING_SNAKE_CASE_: Dict     			=self.ta_base_tokenizer
     SCREAMING_SNAKE_CASE_: Optional[Any]     			=tokenizer(["""hi</s>""", """I went to the gym</s>""", """</s>"""]		)
     SCREAMING_SNAKE_CASE_: int     			=tokenizer(["""hi""", """I went to the gym""", """"""]		)
     self.assertListEqual(batch_with_eos_added["""input_ids"""]       ,		batch_without_eos_added["""input_ids"""]		)



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


     '''simple docstring'''




     SCREAMING_SNAKE_CASE_: Union[str, Any]     			=self.ta_base_tokenizer
     SCREAMING_SNAKE_CASE_: List[Any]     			="""Unicode €."""
     SCREAMING_SNAKE_CASE_: Any     			=tokenizer(lowerCAmelCase		)
     SCREAMING_SNAKE_CASE_: List[str]     			=[88, 113, 108, 102, 114, 103, 104, 35, 229, 133, 175, 49, 1]
     self.assertEqual(encoded["""input_ids"""]       ,		lowerCAmelCase		)

     # decoding
     SCREAMING_SNAKE_CASE_: Optional[Any]     			=tokenizer.decode(lowerCAmelCase		)
     self.assertEqual(lowerCAmelCase       ,		"""Unicode €.</s>"""		)

     SCREAMING_SNAKE_CASE_: Optional[Any]     			=tokenizer("""e è é ê ë"""		)
     SCREAMING_SNAKE_CASE_: str     			=[104, 35, 198, 171, 35, 198, 172, 35, 198, 173, 35, 198, 174, 1]
     self.assertEqual(encoded["""input_ids"""]       ,		lowerCAmelCase		)
     # decoding
     SCREAMING_SNAKE_CASE_: List[Any]     			=tokenizer.decode(lowerCAmelCase		)
     self.assertEqual(lowerCAmelCase       ,		"""e è é ê ë</s>"""		)

     # encode/decode, but with `encode` instead of `__call__`
     self.assertEqual(tokenizer.decode(tokenizer.encode("""e è é ê ë"""		)		)       ,		"""e è é ê ë</s>"""		)



  def 	lowerCamelCase__       (						self :					Tuple		)     ->					Optional[int]:


     '''simple docstring'''




     SCREAMING_SNAKE_CASE_: Optional[Any]     			=self.ta_base_tokenizer
     SCREAMING_SNAKE_CASE_: int     			=["""A long paragraph for summarization.""", """Another paragraph for summarization."""]
     # fmt: off
     SCREAMING_SNAKE_CASE_: str     			=[68, 35, 111, 114, 113, 106, 35, 115, 100, 117, 100, 106, 117, 100, 115, 107, 35, 105, 114, 117, 35, 118, 120, 112, 112, 100, 117, 108, 125, 100, 119, 108, 114, 113, 49, 1, 0]
     # fmt: on
     SCREAMING_SNAKE_CASE_: List[str]     			=tokenizer(lowerCAmelCase       ,		padding=lowerCAmelCase       ,		return_tensors=lowerCAmelCase		)
     self.assertIsInstance(lowerCAmelCase       ,		lowerCAmelCase		)

     if FRAMEWORK != "jax":
        SCREAMING_SNAKE_CASE_: Any     			=list(batch.input_ids.numpy()[0]		)
     else:
        SCREAMING_SNAKE_CASE_: Dict     			=list(batch.input_ids.tolist()[0]		)

     self.assertListEqual(lowerCAmelCase       ,		lowerCAmelCase		)

     self.assertEqual((2, 37)       ,		batch.input_ids.shape		)
     self.assertEqual((2, 37)       ,		batch.attention_mask.shape		)



  def 	lowerCamelCase__       (						self :					int		)     ->					int:


     '''simple docstring'''




     SCREAMING_SNAKE_CASE_: Dict     			=self.ta_base_tokenizer
     SCREAMING_SNAKE_CASE_: List[Any]     			=["""A long paragraph for summarization.""", """Another paragraph for summarization."""]
     SCREAMING_SNAKE_CASE_: List[Any]     			=tokenizer(lowerCAmelCase       ,		padding=lowerCAmelCase       ,		return_tensors=lowerCAmelCase		)
     # check if input_ids are returned and no decoder_input_ids
     self.assertIn("""input_ids"""       ,		lowerCAmelCase		)
     self.assertIn("""attention_mask"""       ,		lowerCAmelCase		)
     self.assertNotIn("""decoder_input_ids"""       ,		lowerCAmelCase		)
     self.assertNotIn("""decoder_attention_mask"""       ,		lowerCAmelCase		)



  def 	lowerCamelCase__       (						self :					Optional[int]		)     ->					str:


     '''simple docstring'''




     SCREAMING_SNAKE_CASE_: Optional[Any]     			=self.ta_base_tokenizer
     SCREAMING_SNAKE_CASE_: str     			=[
         """Summary of the text.""",
         """Another summary.""",
     ]
     SCREAMING_SNAKE_CASE_: Any     			=tokenizer(
         text_target=lowerCAmelCase       ,		max_length=32       ,		padding="""max_length"""       ,		truncation=lowerCAmelCase       ,		return_tensors=lowerCAmelCase		)
     self.assertEqual(32       ,		targets["""input_ids"""].shape[1]		)



  def 	lowerCamelCase__       (						self :					Any		)     ->					Dict:


     '''simple docstring'''




     SCREAMING_SNAKE_CASE_: str     			=self.ta_base_tokenizer
     SCREAMING_SNAKE_CASE_: Optional[int]     			=["""A long paragraph for summarization. </s>"""]
     SCREAMING_SNAKE_CASE_: List[str]     			=["""Summary of the text. </s>"""]
     # fmt: off
     SCREAMING_SNAKE_CASE_: Tuple     			=[68, 35, 111, 114, 113, 106, 35, 115, 100, 117, 100, 106, 117, 100, 115, 107, 35, 105, 114, 117, 35, 118, 120, 112, 112, 100, 117, 108, 125, 100, 119, 108, 114, 113, 49, 35, 1]
     SCREAMING_SNAKE_CASE_: List[str]     			=[86, 120, 112, 112, 100, 117, 124, 35, 114, 105, 35, 119, 107, 104, 35, 119, 104, 123, 119, 49, 35, 1]
     # fmt: on

     SCREAMING_SNAKE_CASE_: List[Any]     			=tokenizer(lowerCAmelCase       ,		text_target=lowerCAmelCase		)

     self.assertEqual(lowerCAmelCase       ,		batch["""input_ids"""][0]		)
     self.assertEqual(lowerCAmelCase       ,		batch["""labels"""][0]		)



  def 	lowerCamelCase__       (						self :					Tuple		)     ->					List[str]:


     '''simple docstring'''




     SCREAMING_SNAKE_CASE_: Optional[int]     			=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
     SCREAMING_SNAKE_CASE_: Tuple     			=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
           SCREAMING_SNAKE_CASE_: Any     			=tempfile.mkdtemp()

           SCREAMING_SNAKE_CASE_: str     			=""" He is very happy, UNwant\u00E9d,running"""
           SCREAMING_SNAKE_CASE_: Any     			=tokenizer.encode(lowerCAmelCase       ,		add_special_tokens=lowerCAmelCase		)
           tokenizer.save_pretrained(lowerCAmelCase		)

           SCREAMING_SNAKE_CASE_: Any     			=tokenizer.__class__.from_pretrained(lowerCAmelCase		)
           SCREAMING_SNAKE_CASE_: Any     			=after_tokenizer.encode(lowerCAmelCase       ,		add_special_tokens=lowerCAmelCase		)
           self.assertListEqual(lowerCAmelCase       ,		lowerCAmelCase		)

           shutil.rmtree(lowerCAmelCase		)

     SCREAMING_SNAKE_CASE_: Optional[int]     			=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
           SCREAMING_SNAKE_CASE_: Any     			=tempfile.mkdtemp()

           SCREAMING_SNAKE_CASE_: Dict     			=""" He is very happy, UNwant\u00E9d,running"""
           tokenizer.add_tokens(["""bim""", """bambam"""]		)
           SCREAMING_SNAKE_CASE_: str     			=tokenizer.additional_special_tokens
           additional_special_tokens.append("""new_additional_special_token"""		)
           tokenizer.add_special_tokens({"""additional_special_tokens""": additional_special_tokens}		)
           SCREAMING_SNAKE_CASE_: str     			=tokenizer.encode(lowerCAmelCase       ,		add_special_tokens=lowerCAmelCase		)
           tokenizer.save_pretrained(lowerCAmelCase		)

           SCREAMING_SNAKE_CASE_: Optional[int]     			=tokenizer.__class__.from_pretrained(lowerCAmelCase		)
           SCREAMING_SNAKE_CASE_: Union[str, Any]     			=after_tokenizer.encode(lowerCAmelCase       ,		add_special_tokens=lowerCAmelCase		)
           self.assertListEqual(lowerCAmelCase       ,		lowerCAmelCase		)
           self.assertIn("""new_additional_special_token"""       ,		after_tokenizer.additional_special_tokens		)
           self.assertEqual(after_tokenizer.model_max_length       ,		42		)

           SCREAMING_SNAKE_CASE_: str     			=tokenizer.__class__.from_pretrained(lowerCAmelCase       ,		model_max_length=43		)
           self.assertEqual(tokenizer.model_max_length       ,		43		)

           shutil.rmtree(lowerCAmelCase		)



  def 	lowerCamelCase__       (						self :					Dict		)     ->					List[str]:


     '''simple docstring'''




     SCREAMING_SNAKE_CASE_: Union[str, Any]     			=[]
     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:
              SCREAMING_SNAKE_CASE_: Tuple     			=json.load(lowerCAmelCase		)

           with open(os.path.join(lowerCAmelCase       ,		"""tokenizer_config.json"""		)       ,		encoding="""utf-8"""		) as json_file:
              SCREAMING_SNAKE_CASE_: List[Any]     			=json.load(lowerCAmelCase		)

           SCREAMING_SNAKE_CASE_: Optional[int]     			=[f'''<extra_id_{i}>''' for i in range(125		)]

           SCREAMING_SNAKE_CASE_: Optional[Any]     			=added_tokens_extra_ids + [
               """an_additional_special_token"""
           ]
           SCREAMING_SNAKE_CASE_: List[str]     			=added_tokens_extra_ids + [
               """an_additional_special_token"""
           ]

           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
           SCREAMING_SNAKE_CASE_: Union[str, Any]     			=tokenizer_class.from_pretrained(
               lowerCAmelCase       ,		)
           self.assertIn(
               """an_additional_special_token"""       ,		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(
               ["""an_additional_special_token"""]       ,		tokenizer_without_change_in_init.convert_ids_to_tokens(
                   tokenizer_without_change_in_init.convert_tokens_to_ids(["""an_additional_special_token"""]		)		)       ,		)

           # Now we test that we can change the value of additional_special_tokens in the from_pretrained
           SCREAMING_SNAKE_CASE_: Optional[int]     			=added_tokens_extra_ids + [AddedToken("""a_new_additional_special_token"""       ,		lstrip=lowerCAmelCase		)]
           SCREAMING_SNAKE_CASE_: List[Any]     			=tokenizer_class.from_pretrained(
               lowerCAmelCase       ,		additional_special_tokens=lowerCAmelCase       ,		)

           self.assertIn("""a_new_additional_special_token"""       ,		tokenizer.additional_special_tokens		)
           self.assertEqual(
               ["""a_new_additional_special_token"""]       ,		tokenizer.convert_ids_to_tokens(
                   tokenizer.convert_tokens_to_ids(["""a_new_additional_special_token"""]		)		)       ,		)



  def 	lowerCamelCase__       (						self :					int		)     ->					Optional[int]:


     '''simple docstring'''




     SCREAMING_SNAKE_CASE_: Dict     			=[]
     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		)

           SCREAMING_SNAKE_CASE_: Tuple     			=tokenizer_class.from_pretrained(lowerCAmelCase		)

           self.assertTrue(tokenizer.decode([255]		) == """"""		)



  def 	lowerCamelCase__       (						self :					Optional[Any]		)     ->					Union[str, Any]:


     '''simple docstring'''




     pass



  def 	lowerCamelCase__       (						self :					List[str]		)     ->					Tuple:


     '''simple docstring'''




     pass



  def 	lowerCamelCase__       (						self :					Union[str, Any]		)     ->					List[str]:


     '''simple docstring'''




     pass



  def 	lowerCamelCase__       (						self :					Any		)     ->					Dict:


     '''simple docstring'''




     pass



  def 	lowerCamelCase__       (						self :					List[str]		)     ->					Optional[Any]:


     '''simple docstring'''




     SCREAMING_SNAKE_CASE_: Optional[int]     			=self.get_tokenizers(fast=lowerCAmelCase       ,		do_lower_case=lowerCAmelCase		)
     for tokenizer in tokenizers:
        with self.subTest(f'''{tokenizer.__class__.__name__}'''		):
           SCREAMING_SNAKE_CASE_: List[Any]     			=["""t""", """h""", """i""", """s""", """ """, """i""", """s""", """ """, """a""", """ """, """t""", """e""", """x""", """t""", """</s>"""]
           SCREAMING_SNAKE_CASE_: str     			=tokenizer.convert_tokens_to_string(lowerCAmelCase		)

           self.assertIsInstance(lowerCAmelCase       ,		lowerCAmelCase		)





  def 	lowerCamelCase__       (						self :					Dict		)     ->					Dict:


     '''simple docstring'''




     SCREAMING_SNAKE_CASE_: str     			=self.get_tokenizers()
     for tokenizer in tokenizers:
        with self.subTest(f'''{tokenizer.__class__.__name__}'''		):
           SCREAMING_SNAKE_CASE_: str     			=[
               """bos_token""",
               """eos_token""",
               """unk_token""",
               """sep_token""",
               """pad_token""",
               """cls_token""",
               """mask_token""",
           ]

           SCREAMING_SNAKE_CASE_: List[Any]     			=0
           SCREAMING_SNAKE_CASE_: Optional[int]     			=tokenizer.convert_ids_to_tokens(
               lowerCAmelCase       ,		skip_special_tokens=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"""		)       ,		[]		)

           setattr(lowerCAmelCase       ,		"""additional_special_tokens_ids"""       ,		[token_id_to_test_setters]		)
           self.assertListEqual(getattr(lowerCAmelCase       ,		"""additional_special_tokens"""		)       ,		[token_to_test_setters]		)
           self.assertListEqual(getattr(lowerCAmelCase       ,		"""additional_special_tokens_ids"""		)       ,		[token_id_to_test_setters]		)








"""simple docstring"""
def      __magic_name__				(							lowercase ):
   return str(lowercase ) == str(lowercase )[::-1]





def      __magic_name__				(							lowercase ):
   return int(lowercase ) + int(str(lowercase )[::-1] )





def      __magic_name__				(							lowercase = 1_0000 ):
   SCREAMING_SNAKE_CASE_: List[str]     			=[]
   for num in range(1							,			lowercase ):
      SCREAMING_SNAKE_CASE_: List[Any]     			=0
      SCREAMING_SNAKE_CASE_: int     			=num
      while iterations < 50:
         SCREAMING_SNAKE_CASE_: Optional[Any]     			=sum_reverse(lowercase )
         iterations += 1
         if is_palindrome(lowercase ):
            break
      else:
         lychrel_nums.append(lowercase )
   return len(lowercase )


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



