






"""simple docstring"""


def       UpperCAmelCase__ (snake_case__							:      int					):
  """simple docstring"""

  return [
      {
          0: [1, 2],
          1: [0, 2],
          2: [0, 1, 3, 5],
          3: [2, 4],
          4: [3],
          5: [2, 6, 8],
          6: [5, 7],
          7: [6, 8],
          8: [5, 7],
      },
      {
          0: [6],
          1: [9],
          2: [4, 5],
          3: [4],
          4: [2, 3],
          5: [2],
          6: [0, 7],
          7: [6],
          8: [],
          9: [1],
      },
      {
          0: [4],
          1: [6],
          2: [],
          3: [5, 6, 7],
          4: [0, 6],
          5: [3, 8, 9],
          6: [1, 3, 4, 7],
          7: [3, 6, 8, 9],
          8: [5, 7],
          9: [5, 7],
      },
      {
          0: [1, 3],
          1: [0, 2, 4],
          2: [1, 3, 4],
          3: [0, 2, 4],
          4: [1, 2, 3],
      },
  ][index]


def       UpperCAmelCase__ (snake_case__							:      dict[int, list[int]]					):
  """simple docstring"""

  _snake_case							:	Any			=						0
  _snake_case							:	int			=						len(UpperCamelCase__					)  # No of vertices in graph
  _snake_case							:	Any			=						[0] * n
  _snake_case							:	str			=						[False] * n

  def dfs(snake_case__							:      Union[str, Any]	,     snake_case__							:      Optional[Any]	,     snake_case__							:      Any	,     snake_case__							:      Dict					):
    _snake_case							:	Dict			=						True
    _snake_case							:	Tuple			=						id_
    id_ += 1
    for to in graph[at]:
      if to == parent:
        pass
      elif not visited[to]:
        dfs(UpperCamelCase__	,     UpperCamelCase__	,     UpperCamelCase__	,     id_					)
        _snake_case							:	Optional[Any]			=						min(low[at]	,     low[to]					)
        if id_ <= low[to]:
          bridges.append((at, to) if at < to else (to, at)					)
      else:
        # This edge is a back edge and cannot be a bridge
        _snake_case							:	Union[str, Any]			=						min(low[at]	,     low[to]					)

  _snake_case							:	list[tuple[int, int]]			=						[]
  for i in range(UpperCamelCase__					):
    if not visited[i]:
      dfs(UpperCamelCase__	,     -1	,     UpperCamelCase__	,     id_					)
  return bridges


if __name__ == "__main__":
     import doctest

     doctest.testmod()








"""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():
     A_      			=       '''pt'''
elif is_tf_available():
     A_      			=       '''tf'''
else:
     A_      			=       '''jax'''






class       lowercase(  __a ,    unittest.TestCase				):







 '''simple docstring'''





 lowercase__				      =      ByTaTokenizer
 lowercase__				      =      False


 def 				UpperCamelCase_     (       self:	List[str]	):




   '''simple docstring'''



   super().setUp()
   _snake_case							:	List[str]			=						ByTaTokenizer()
   tokenizer.save_pretrained(self.tmpdirname	)


 @cached_property
 def 				UpperCamelCase_     (       self:	List[str]	):




   '''simple docstring'''



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


 def 				UpperCamelCase_     (       self:	List[Any],   **a_:	int	):




   '''simple docstring'''



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


 def 				UpperCamelCase_     (       self:	Optional[Any],   a_:	Optional[Any],   a_:	List[Any]=False,   a_:	int=20,   a_:	Union[str, Any]=5	):




   '''simple docstring'''



   _snake_case							:	List[Any]			=						[]
   for i in range(len(a_	)	):
     try:
       _snake_case							:	Optional[Any]			=						tokenizer.decode([i],   clean_up_tokenization_spaces=a_	)
     except UnicodeDecodeError:
       pass
     toks.append((i, tok)	)

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

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


 def 				UpperCamelCase_     (       self:	int	):




   '''simple docstring'''



   _snake_case							:	Optional[int]			=						self.ta_base_tokenizer
   _snake_case							:	Optional[Any]			=						tokenizer(["""hi</s>""", """I went to the gym</s>""", """</s>"""]	)
   _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 				UpperCamelCase_     (       self:	Optional[int]	):




   '''simple docstring'''



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

   # decoding
   _snake_case							:	Tuple			=						tokenizer.decode(a_	)
   self.assertEqual(a_,   """Unicode €.</s>"""	)

   _snake_case							:	Tuple			=						tokenizer("""e è é ê ë"""	)
   _snake_case							:	List[Any]			=						[104, 35, 198, 171, 35, 198, 172, 35, 198, 173, 35, 198, 174, 1]
   self.assertEqual(encoded["""input_ids"""],   a_	)
   # decoding
   _snake_case							:	int			=						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:	Optional[Any]	):




   '''simple docstring'''



   _snake_case							:	Dict			=						self.ta_base_tokenizer
   _snake_case							:	List[Any]			=						["""A long paragraph for summarization.""", """Another paragraph for summarization."""]
   # fmt: off
   _snake_case							:	Union[str, 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
   _snake_case							:	int			=						tokenizer(a_,   padding=a_,   return_tensors=a_	)
   self.assertIsInstance(a_,   a_	)

   if FRAMEWORK != "jax":
     _snake_case							:	List[str]			=						list(batch.input_ids.numpy()[0]	)
   else:
     _snake_case							:	Optional[int]			=						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:	List[Any]	):




   '''simple docstring'''



   _snake_case							:	List[Any]			=						self.ta_base_tokenizer
   _snake_case							:	Optional[int]			=						["""A long paragraph for summarization.""", """Another paragraph for summarization."""]
   _snake_case							:	Tuple			=						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'''



   _snake_case							:	Union[str, Any]			=						self.ta_base_tokenizer
   _snake_case							:	Dict			=						[
       """Summary of the text.""",
       """Another summary.""",
   ]
   _snake_case							:	Optional[int]			=						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:	Union[str, Any]	):




   '''simple docstring'''



   _snake_case							:	int			=						self.ta_base_tokenizer
   _snake_case							:	Optional[int]			=						["""A long paragraph for summarization. </s>"""]
   _snake_case							:	Dict			=						["""Summary of the text. </s>"""]
   # fmt: off
   _snake_case							:	Optional[int]			=						[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]
   _snake_case							:	Optional[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

   _snake_case							:	Optional[Any]			=						tokenizer(a_,   text_target=a_	)

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


 def 				UpperCamelCase_     (       self:	Optional[Any]	):




   '''simple docstring'''



   _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
   _snake_case							:	str			=						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
       _snake_case							:	List[str]			=						tempfile.mkdtemp()

       _snake_case							:	List[str]			=						""" He is very happy, UNwant\u00E9d,running"""
       _snake_case							:	Any			=						tokenizer.encode(a_,   add_special_tokens=a_	)
       tokenizer.save_pretrained(a_	)

       _snake_case							:	List[Any]			=						tokenizer.__class__.from_pretrained(a_	)
       _snake_case							:	Dict			=						after_tokenizer.encode(a_,   add_special_tokens=a_	)
       self.assertListEqual(a_,   a_	)

       shutil.rmtree(a_	)

   _snake_case							:	Tuple			=						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
       _snake_case							:	Union[str, Any]			=						tempfile.mkdtemp()

       _snake_case							:	List[Any]			=						""" He is very happy, UNwant\u00E9d,running"""
       tokenizer.add_tokens(["""bim""", """bambam"""]	)
       _snake_case							:	Optional[Any]			=						tokenizer.additional_special_tokens
       additional_special_tokens.append("""new_additional_special_token"""	)
       tokenizer.add_special_tokens({"""additional_special_tokens""": additional_special_tokens}	)
       _snake_case							:	Any			=						tokenizer.encode(a_,   add_special_tokens=a_	)
       tokenizer.save_pretrained(a_	)

       _snake_case							:	Optional[Any]			=						tokenizer.__class__.from_pretrained(a_	)
       _snake_case							:	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	)

       _snake_case							:	Optional[int]			=						tokenizer.__class__.from_pretrained(a_,   model_max_length=43	)
       self.assertEqual(tokenizer.model_max_length,   43	)

       shutil.rmtree(a_	)


 def 				UpperCamelCase_     (       self:	Optional[int]	):




   '''simple docstring'''



   _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:
         _snake_case							:	Union[str, Any]			=						json.load(a_	)

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

       _snake_case							:	int			=						[f"<extra_id_{i}>" for i in range(125	)]

       _snake_case							:	Optional[int]			=						added_tokens_extra_ids + [
           """an_additional_special_token"""
       ]
       _snake_case							:	Dict			=						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
       _snake_case							:	Optional[int]			=						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
       _snake_case							:	Union[str, Any]			=						added_tokens_extra_ids + [AddedToken("""a_new_additional_special_token""",   lstrip=a_	)]
       _snake_case							:	List[Any]			=						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:	int	):




   '''simple docstring'''



   _snake_case							:	List[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_	)

       _snake_case							:	Optional[Any]			=						tokenizer_class.from_pretrained(a_	)

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


 def 				UpperCamelCase_     (       self:	Optional[Any]	):




   '''simple docstring'''



   pass


 def 				UpperCamelCase_     (       self:	int	):




   '''simple docstring'''



   pass


 def 				UpperCamelCase_     (       self:	int	):




   '''simple docstring'''



   pass


 def 				UpperCamelCase_     (       self:	Any	):




   '''simple docstring'''



   pass


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




   '''simple docstring'''



   _snake_case							:	Optional[Any]			=						self.get_tokenizers(fast=a_,   do_lower_case=a_	)
   for tokenizer in tokenizers:
     with self.subTest(f"{tokenizer.__class__.__name__}"	):
       _snake_case							:	Dict			=						["""t""", """h""", """i""", """s""", """ """, """i""", """s""", """ """, """a""", """ """, """t""", """e""", """x""", """t""", """</s>"""]
       _snake_case							:	List[Any]			=						tokenizer.convert_tokens_to_string(a_	)

       self.assertIsInstance(a_,   a_	)


 def 				UpperCamelCase_     (       self:	Dict	):




   '''simple docstring'''



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

       _snake_case							:	Any			=						0
       _snake_case							:	Union[str, 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]	)


