
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():
   lowercase_ 				=			"""pt"""
elif is_tf_available():
   lowercase_ 				=			"""tf"""
else:
   lowercase_ 				=			"""jax"""





class     __UpperCamelCase (							lowerCAmelCase__ ,						unittest.TestCase       ):






     """simple docstring"""







     lowerCAmelCase_							   =			ByTaTokenizer
     lowerCAmelCase_							   =			False



     def  UpperCAmelCase__							(				self							:							int ):







       """simple docstring"""




       super().setUp()
       __SCREAMING_SNAKE_CASE      :	Any					=		ByTaTokenizer()
       tokenizer.save_pretrained(self.tmpdirname )



     @cached_property
     def  UpperCAmelCase__							(				self							:							List[Any] ):







       """simple docstring"""




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



     def  UpperCAmelCase__							(				self							:							Tuple     ,						**_A							:							Any ):







       """simple docstring"""




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



     def  UpperCAmelCase__							(				self							:							str     ,						_A							:							Optional[Any]     ,						_A							:							Union[str, Any]=False     ,						_A							:							Optional[int]=20     ,						_A							:							Optional[Any]=5 ):







       """simple docstring"""




       __SCREAMING_SNAKE_CASE      :	Dict					=		[]
       for i in range(len(_A ) ):
         try:
           __SCREAMING_SNAKE_CASE      :	Union[str, Any]					=		tokenizer.decode([i]     ,						clean_up_tokenization_spaces=_A )
         except UnicodeDecodeError:
           pass
         toks.append((i, tok) )

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

       # Ensure consistency
       __SCREAMING_SNAKE_CASE      :	int					=		tokenizer.decode(_A     ,						clean_up_tokenization_spaces=_A )
       if " " not in output_txt and len(_A ) > 1:
         __SCREAMING_SNAKE_CASE      :	str					=		(
             tokenizer.decode([toks_ids[0]]     ,						clean_up_tokenization_spaces=_A )
             + ''' '''
             + tokenizer.decode(toks_ids[1:]     ,						clean_up_tokenization_spaces=_A )
         )
       if with_prefix_space:
         __SCREAMING_SNAKE_CASE      :	str					=		''' ''' + output_txt
       __SCREAMING_SNAKE_CASE      :	Any					=		tokenizer.encode(_A     ,						add_special_tokens=_A )
       return output_txt, output_ids



     def  UpperCAmelCase__							(				self							:							int ):







       """simple docstring"""




       __SCREAMING_SNAKE_CASE      :	Tuple					=		self.ta_base_tokenizer
       __SCREAMING_SNAKE_CASE      :	Optional[Any]					=		tokenizer(['''hi</s>''', '''I went to the gym</s>''', '''</s>'''] )
       __SCREAMING_SNAKE_CASE      :	Union[str, Any]					=		tokenizer(['''hi''', '''I went to the gym''', ''''''] )
       self.assertListEqual(batch_with_eos_added['''input_ids''']     ,						batch_without_eos_added['''input_ids'''] )



     def  UpperCAmelCase__							(				self							:							Optional[int] ):







       """simple docstring"""




       __SCREAMING_SNAKE_CASE      :	int					=		self.ta_base_tokenizer
       __SCREAMING_SNAKE_CASE      :	Tuple					=		'''Unicode €.'''
       __SCREAMING_SNAKE_CASE      :	Optional[Any]					=		tokenizer(_A )
       __SCREAMING_SNAKE_CASE      :	Optional[int]					=		[88, 113, 108, 102, 114, 103, 104, 35, 229, 133, 175, 49, 1]
       self.assertEqual(encoded['''input_ids''']     ,						_A )

       # decoding
       __SCREAMING_SNAKE_CASE      :	Any					=		tokenizer.decode(_A )
       self.assertEqual(_A     ,						'''Unicode €.</s>''' )

       __SCREAMING_SNAKE_CASE      :	Dict					=		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''']     ,						_A )
       # decoding
       __SCREAMING_SNAKE_CASE      :	Dict					=		tokenizer.decode(_A )
       self.assertEqual(_A     ,						'''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  UpperCAmelCase__							(				self							:							Any ):







       """simple docstring"""




       __SCREAMING_SNAKE_CASE      :	Any					=		self.ta_base_tokenizer
       __SCREAMING_SNAKE_CASE      :	Union[str, Any]					=		['''A long paragraph for summarization.''', '''Another paragraph for summarization.''']
       # fmt: off
       __SCREAMING_SNAKE_CASE      :	Optional[Any]					=		[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[Any]					=		tokenizer(_A     ,						padding=_A     ,						return_tensors=_A )
       self.assertIsInstance(_A     ,						_A )

       if FRAMEWORK != "jax":
         __SCREAMING_SNAKE_CASE      :	int					=		list(batch.input_ids.numpy()[0] )
       else:
         __SCREAMING_SNAKE_CASE      :	Union[str, Any]					=		list(batch.input_ids.tolist()[0] )

       self.assertListEqual(_A     ,						_A )

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



     def  UpperCAmelCase__							(				self							:							Optional[Any] ):







       """simple docstring"""




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



     def  UpperCAmelCase__							(				self							:							Tuple ):







       """simple docstring"""




       __SCREAMING_SNAKE_CASE      :	Any					=		self.ta_base_tokenizer
       __SCREAMING_SNAKE_CASE      :	List[str]					=		[
           '''Summary of the text.''',
           '''Another summary.''',
       ]
       __SCREAMING_SNAKE_CASE      :	List[str]					=		tokenizer(
           text_target=_A     ,						max_length=32     ,						padding='''max_length'''     ,						truncation=_A     ,						return_tensors=_A )
       self.assertEqual(32     ,						targets['''input_ids'''].shape[1] )



     def  UpperCAmelCase__							(				self							:							Optional[int] ):







       """simple docstring"""




       __SCREAMING_SNAKE_CASE      :	Union[str, Any]					=		self.ta_base_tokenizer
       __SCREAMING_SNAKE_CASE      :	int					=		['''A long paragraph for summarization. </s>''']
       __SCREAMING_SNAKE_CASE      :	Any					=		['''Summary of the text. </s>''']
       # fmt: off
       __SCREAMING_SNAKE_CASE      :	Any					=		[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      :	Any					=		[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      :	str					=		tokenizer(_A     ,						text_target=_A )

       self.assertEqual(_A     ,						batch['''input_ids'''][0] )
       self.assertEqual(_A     ,						batch['''labels'''][0] )



     def  UpperCAmelCase__							(				self							:							Any ):







       """simple docstring"""




       __SCREAMING_SNAKE_CASE      :	List[str]					=		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      :	int					=		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      :	Dict					=		tempfile.mkdtemp()

           __SCREAMING_SNAKE_CASE      :	Optional[int]					=		''' He is very happy, UNwant\u00E9d,running'''
           __SCREAMING_SNAKE_CASE      :	Any					=		tokenizer.encode(_A     ,						add_special_tokens=_A )
           tokenizer.save_pretrained(_A )

           __SCREAMING_SNAKE_CASE      :	int					=		tokenizer.__class__.from_pretrained(_A )
           __SCREAMING_SNAKE_CASE      :	int					=		after_tokenizer.encode(_A     ,						add_special_tokens=_A )
           self.assertListEqual(_A     ,						_A )

           shutil.rmtree(_A )

       __SCREAMING_SNAKE_CASE      :	Dict					=		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      :	Union[str, Any]					=		tempfile.mkdtemp()

           __SCREAMING_SNAKE_CASE      :	List[Any]					=		''' He is very happy, UNwant\u00E9d,running'''
           tokenizer.add_tokens(['''bim''', '''bambam'''] )
           __SCREAMING_SNAKE_CASE      :	int					=		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      :	int					=		tokenizer.encode(_A     ,						add_special_tokens=_A )
           tokenizer.save_pretrained(_A )

           __SCREAMING_SNAKE_CASE      :	str					=		tokenizer.__class__.from_pretrained(_A )
           __SCREAMING_SNAKE_CASE      :	List[str]					=		after_tokenizer.encode(_A     ,						add_special_tokens=_A )
           self.assertListEqual(_A     ,						_A )
           self.assertIn('''new_additional_special_token'''     ,						after_tokenizer.additional_special_tokens )
           self.assertEqual(after_tokenizer.model_max_length     ,						42 )

           __SCREAMING_SNAKE_CASE      :	Tuple					=		tokenizer.__class__.from_pretrained(_A     ,						model_max_length=43 )
           self.assertEqual(tokenizer.model_max_length     ,						43 )

           shutil.rmtree(_A )



     def  UpperCAmelCase__							(				self							:							List[Any] ):







       """simple docstring"""




       __SCREAMING_SNAKE_CASE      :	Optional[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(_A )

           with open(os.path.join(_A     ,						'''special_tokens_map.json''' )     ,						encoding='''utf-8''' ) as json_file:
             __SCREAMING_SNAKE_CASE      :	List[str]					=		json.load(_A )

           with open(os.path.join(_A     ,						'''tokenizer_config.json''' )     ,						encoding='''utf-8''' ) as json_file:
             __SCREAMING_SNAKE_CASE      :	Any					=		json.load(_A )

           __SCREAMING_SNAKE_CASE      :	List[Any]					=		[F'''<extra_id_{i}>''' for i in range(125 )]

           __SCREAMING_SNAKE_CASE      :	Tuple					=		added_tokens_extra_ids + [
               '''an_additional_special_token'''
           ]
           __SCREAMING_SNAKE_CASE      :	str					=		added_tokens_extra_ids + [
               '''an_additional_special_token'''
           ]

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

           # 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      :	Tuple					=		tokenizer_class.from_pretrained(
               _A     ,						)
           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      :	Tuple					=		added_tokens_extra_ids + [AddedToken('''a_new_additional_special_token'''     ,						lstrip=_A )]
           __SCREAMING_SNAKE_CASE      :	Optional[int]					=		tokenizer_class.from_pretrained(
               _A     ,						additional_special_tokens=_A     ,						)

           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  UpperCAmelCase__							(				self							:							List[str] ):







       """simple docstring"""




       __SCREAMING_SNAKE_CASE      :	List[str]					=		[]
       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(_A )

           __SCREAMING_SNAKE_CASE      :	Optional[int]					=		tokenizer_class.from_pretrained(_A )

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



     def  UpperCAmelCase__							(				self							:							int ):







       """simple docstring"""




       pass



     def  UpperCAmelCase__							(				self							:							Dict ):







       """simple docstring"""




       pass



     def  UpperCAmelCase__							(				self							:							Dict ):







       """simple docstring"""




       pass



     def  UpperCAmelCase__							(				self							:							str ):







       """simple docstring"""




       pass



     def  UpperCAmelCase__							(				self							:							int ):







       """simple docstring"""




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

           self.assertIsInstance(_A     ,						_A )




     def  UpperCAmelCase__							(				self							:							List[str] ):







       """simple docstring"""




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

           __SCREAMING_SNAKE_CASE      :	int					=		0
           __SCREAMING_SNAKE_CASE      :	Optional[Any]					=		tokenizer.convert_ids_to_tokens(
               _A     ,						skip_special_tokens=_A )

           for attr in attributes_list:
             setattr(_A     ,						attr + '''_id'''     ,						_A )
             self.assertEqual(getattr(_A     ,						_A )     ,						_A )
             self.assertEqual(getattr(_A     ,						attr + '''_id''' )     ,						_A )

             setattr(_A     ,						attr + '''_id'''     ,						_A )
             self.assertEqual(getattr(_A     ,						_A )     ,						_A )
             self.assertEqual(getattr(_A     ,						attr + '''_id''' )     ,						_A )

           setattr(_A     ,						'''additional_special_tokens_ids'''     ,						[] )
           self.assertListEqual(getattr(_A     ,						'''additional_special_tokens''' )     ,						[] )
           self.assertListEqual(getattr(_A     ,						'''additional_special_tokens_ids''' )     ,						[] )

           setattr(_A     ,						'''additional_special_tokens_ids'''     ,						[token_id_to_test_setters] )
           self.assertListEqual(getattr(_A     ,						'''additional_special_tokens''' )     ,						[token_to_test_setters] )
           self.assertListEqual(getattr(_A     ,						'''additional_special_tokens_ids''' )     ,						[token_id_to_test_setters] )



'''simple docstring'''




def    lowerCamelCase__		(    SCREAMING_SNAKE_CASE   : list[int]							, SCREAMING_SNAKE_CASE   : list[int]							, SCREAMING_SNAKE_CASE   : int    ):
  return not any(
      neighbour == 1 and colored_vertices[i] == color
      for i, neighbour in enumerate(SCREAMING_SNAKE_CASE    )    )


def    lowerCamelCase__		(    SCREAMING_SNAKE_CASE   : list[list[int]]							, SCREAMING_SNAKE_CASE   : int							, SCREAMING_SNAKE_CASE   : list[int]							, SCREAMING_SNAKE_CASE   : int    ):

  # Base Case
  if index == len(SCREAMING_SNAKE_CASE    ):
    return True

  # Recursive Step
  for i in range(SCREAMING_SNAKE_CASE    ):
    if valid_coloring(graph[index]							, SCREAMING_SNAKE_CASE							, SCREAMING_SNAKE_CASE    ):
      # Color current vertex
      UpperCAmelCase    				=						i
      # Validate coloring
      if util_color(SCREAMING_SNAKE_CASE							, SCREAMING_SNAKE_CASE							, SCREAMING_SNAKE_CASE							, index + 1    ):
        return True
      # Backtrack
      UpperCAmelCase    				=						-1
  return False



def    lowerCamelCase__		(    SCREAMING_SNAKE_CASE   : list[list[int]]							, SCREAMING_SNAKE_CASE   : int    ):
  UpperCAmelCase    				=						[-1] * len(SCREAMING_SNAKE_CASE    )

  if util_color(SCREAMING_SNAKE_CASE							, SCREAMING_SNAKE_CASE							, SCREAMING_SNAKE_CASE							, 0    ):
    return colored_vertices

  return []


