




"""simple docstring"""

import doctest
import glob
import importlib
import inspect
import os
import re
from contextlib import contextmanager
from functools import wraps
from unittest.mock import patch

import numpy as np
import pytest
from absl.testing import parameterized

import datasets
from datasets import load_metric

from .utils import for_all_test_methods, local, slow


# mark all tests as integration
a							      =     pytest.mark.integration


a							      =     {'''comet'''}
a							      =     importlib.util.find_spec('''fairseq''') is not None

a							      =     {'''code_eval'''}
a							      =     os.name == '''nt'''

a							      =     {'''bertscore''', '''frugalscore''', '''perplexity'''}
a							      =     importlib.util.find_spec('''transformers''') is not None






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






      '''simple docstring'''


      @wraps(_snake_case				)
      def wrapper(self				:   List[str]							,    _snake_case				:   str				):
            if not _has_fairseq and metric_name in REQUIRE_FAIRSEQ:
                  self.skipTest('"test requires Fairseq"'				)
            else:
                  test_case(self							,    _snake_case				)

      return wrapper






def 		_snake_case	(   _snake_case				:   Any				)       ->   List[str]:






      '''simple docstring'''


      @wraps(_snake_case				)
      def wrapper(self				:   Union[str, Any]							,    _snake_case				:   Optional[int]				):
            if not _has_transformers and metric_name in REQUIRE_TRANSFORMERS:
                  self.skipTest('"test requires transformers"'				)
            else:
                  test_case(self							,    _snake_case				)

      return wrapper






def 		_snake_case	(   _snake_case				:   Union[str, Any]				)       ->   Union[str, Any]:






      '''simple docstring'''


      @wraps(_snake_case				)
      def wrapper(self				:   Union[str, Any]							,    _snake_case				:   List[str]				):
            if _on_windows and metric_name in UNSUPPORTED_ON_WINDOWS:
                  self.skipTest('"test not supported on Windows"'				)
            else:
                  test_case(self							,    _snake_case				)

      return wrapper






def 		_snake_case	(   )       ->   Tuple:






      '''simple docstring'''


      _A     =  [metric_dir.split(os.sep				)[-2] for metric_dir in glob.glob('./metrics/*/'				)]
      return [{"testcase_name": x, "metric_name": x} for x in metrics if x != "gleu"]  # gleu is unfinished





@parameterized.named_parameters(get_local_metric_names()				)
@for_all_test_methods(
    __lowerCAmelCase     ,      __lowerCAmelCase     ,      __lowerCAmelCase				)
@local
class 							lowercase_			(	parameterized.TestCase				):



 '''simple docstring'''
 UpperCAmelCase       :	Optional[Any]     =      {}
 UpperCAmelCase       :	Optional[Any]     =      None

 @pytest.mark.filterwarnings('ignore:metric_module_factory is deprecated:FutureWarning'						)
 @pytest.mark.filterwarnings('ignore:load_metric is deprecated:FutureWarning'						)
 def      lowerCAmelCase_				(					self			:			int       ,				_UpperCAmelCase			:			str						):
       _A     =  '[...]'
       _A     =  importlib.import_module(
           datasets.load.metric_module_factory(os.path.join('metrics'       ,				_UpperCAmelCase						)						).module_path						)
       _A     =  datasets.load.import_main_class(metric_module.__name__       ,				dataset=_UpperCAmelCase						)
       # check parameters
       _A     =  inspect.signature(metric._compute						).parameters
       self.assertTrue(all(p.kind != p.VAR_KEYWORD for p in parameters.values()						)						)  # no **kwargs
       # run doctest
       with self.patch_intensive_calls(_UpperCAmelCase       ,				metric_module.__name__						):
             with self.use_local_metrics():
                   try:
                         _A     =  doctest.testmod(_UpperCAmelCase       ,				verbose=_UpperCAmelCase       ,				raise_on_error=_UpperCAmelCase						)
                   except doctest.UnexpectedException as e:
                         raise e.exc_info[1]  # raise the exception that doctest caught
       self.assertEqual(results.failed       ,				0						)
       self.assertGreater(results.attempted       ,				1						)

 @slow
 def      lowerCAmelCase_				(					self			:			Tuple       ,				_UpperCAmelCase			:			Optional[int]						):
       _A     =  '[...]'
       _A     =  importlib.import_module(
           datasets.load.metric_module_factory(os.path.join('metrics'       ,				_UpperCAmelCase						)						).module_path						)
       # run doctest
       with self.use_local_metrics():
             _A     =  doctest.testmod(_UpperCAmelCase       ,				verbose=_UpperCAmelCase       ,				raise_on_error=_UpperCAmelCase						)
       self.assertEqual(results.failed       ,				0						)
       self.assertGreater(results.attempted       ,				1						)

 @contextmanager
 def      lowerCAmelCase_				(					self			:			Optional[int]       ,				_UpperCAmelCase			:			Dict       ,				_UpperCAmelCase			:			List[str]						):
       if metric_name in self.INTENSIVE_CALLS_PATCHER:
             with self.INTENSIVE_CALLS_PATCHER[metric_name](_UpperCAmelCase						):
                   yield
       else:
             yield

 @contextmanager
 def      lowerCAmelCase_				(					self			:			str						):
       def load_local_metric(_UpperCAmelCase			:			Optional[Any]       ,				*_UpperCAmelCase			:			Union[str, Any]       ,				**_UpperCAmelCase			:			Optional[Any]						):
             return load_metric(os.path.join('metrics'       ,				_UpperCAmelCase						)       ,				*_UpperCAmelCase       ,				**_UpperCAmelCase						)

       with patch('datasets.load_metric'						) as mock_load_metric:
             _A     =  load_local_metric
             yield



 @classmethod
 def      lowerCAmelCase_				(					cls			:			Optional[Any]       ,				_UpperCAmelCase			:			str						):
       def wrapper(_UpperCAmelCase			:			str						):
             _A     =  contextmanager(_UpperCAmelCase						)
             _A     =  patcher
             return patcher

       return wrapper






@LocalMetricTest.register_intensive_calls_patcher('bleurt'				)
def 		_snake_case	(   _snake_case				:   int				)       ->   Any:






      '''simple docstring'''


      import tensorflow.compat.va as tf
      from bleurt.score import Predictor

      tf.flags.DEFINE_string('sv'							,    ''							,    ''				)  # handle pytest cli flags





      class 							lowercase_			(	__lowerCAmelCase				):



       '''simple docstring'''

       def      lowerCAmelCase_				(					self			:			Any       ,				_UpperCAmelCase			:			Dict						):
             assert len(input_dict['input_ids']						) == 2
             return np.array([1.03, 1.04]						)

    # mock predict_fn which is supposed to do a forward pass with a bleurt model
      with patch('bleurt.score._create_predictor'				) as mock_create_predictor:
            _A     =  MockedPredictor()
            yield






@LocalMetricTest.register_intensive_calls_patcher('bertscore'				)
def 		_snake_case	(   _snake_case				:   Tuple				)       ->   Tuple:






      '''simple docstring'''


      import torch

      def bert_cos_score_idf(_snake_case				:   Optional[Any]							,    _snake_case				:   Optional[Any]							,    *_snake_case				:   Union[str, Any]							,    **_snake_case				:   Optional[Any]				):
            return torch.tensor([[1.0, 1.0, 1.0]] * len(_snake_case				)				)

      # mock get_model which is supposed to do download a bert model
      # mock bert_cos_score_idf which is supposed to do a forward pass with a bert model
      with patch('bert_score.scorer.get_model'				), patch(
          'bert_score.scorer.bert_cos_score_idf'				) as mock_bert_cos_score_idf:
            _A     =  bert_cos_score_idf
            yield






@LocalMetricTest.register_intensive_calls_patcher('comet'				)
def 		_snake_case	(   _snake_case				:   List[str]				)       ->   List[str]:






      '''simple docstring'''


      def load_from_checkpoint(_snake_case				:   str				):





            class 							lowercase_			:



             '''simple docstring'''

             def      lowerCAmelCase_				(					self			:			Optional[int]       ,				_UpperCAmelCase			:			Optional[int]       ,				*_UpperCAmelCase			:			Optional[int]       ,				**_UpperCAmelCase			:			Tuple						):
                   assert len(_UpperCAmelCase						) == 2
                   _A     =  [0.19, 0.92]
                   return scores, sum(_UpperCAmelCase						) / len(_UpperCAmelCase						)



            return Model()

      # mock load_from_checkpoint which is supposed to do download a bert model
      # mock load_from_checkpoint which is supposed to do download a bert model
      with patch('comet.download_model'				) as mock_download_model:
            _A     =  None
            with patch('comet.load_from_checkpoint'				) as mock_load_from_checkpoint:
                  _A     =  load_from_checkpoint
                  yield







def 		_snake_case	(   )       ->   List[str]:






      '''simple docstring'''


      _A     =  load_metric(os.path.join('metrics'							,    'seqeval'				)				)
      _A     =  'ERROR'
      _A     =  F'''Scheme should be one of [IOB1, IOB2, IOE1, IOE2, IOBES, BILOU], got {wrong_scheme}'''
      with pytest.raises(_snake_case							,    match=re.escape(_snake_case				)				):
            metric.compute(predictions=[]							,    references=[]							,    scheme=_snake_case				)



import json
import os
import unittest

from transformers.models.roc_bert.tokenization_roc_bert import (
    VOCAB_FILES_NAMES,
    RoCBertBasicTokenizer,
    RoCBertTokenizer,
    RoCBertWordpieceTokenizer,
    _is_control,
    _is_punctuation,
    _is_whitespace,
)
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin, filter_non_english



@require_tokenizers
class    _snake_case (						UpperCAmelCase_	,    unittest.TestCase				):
 __lowerCAmelCase	:  Union[str, Any]	   =      RoCBertTokenizer
 __lowerCAmelCase	:  Union[str, Any]	   =      None
 __lowerCAmelCase	:  str	   =      False
 __lowerCAmelCase	:  List[Any]	   =      True
 __lowerCAmelCase	:  Optional[int]	   =      filter_non_english


 def   lowercase__  (       self):


   '''simple docstring'''




   super().setUp()

   lowercase__	: Optional[int]     		=   ["""[UNK]""", """[CLS]""", """[SEP]""", """[PAD]""", """[MASK]""", """你""", """好""", """是""", """谁""", """a""", """b""", """c""", """d"""]
   lowercase__	: Dict     		=   {}
   lowercase__	: Tuple     		=   {}
   for i, value in enumerate(SCREAMING_SNAKE_CASE_):
     lowercase__	: Tuple     		=   i
     lowercase__	: Any     		=   i
   lowercase__	: str     		=   os.path.join(self.tmpdirname       ,	VOCAB_FILES_NAMES["""vocab_file"""])
   lowercase__	: Union[str, Any]     		=   os.path.join(self.tmpdirname       ,	VOCAB_FILES_NAMES["""word_shape_file"""])
   lowercase__	: Tuple     		=   os.path.join(self.tmpdirname       ,	VOCAB_FILES_NAMES["""word_pronunciation_file"""])
   with open(self.vocab_file       ,	"""w"""       ,	encoding="""utf-8""") as vocab_writer:
     vocab_writer.write("""""".join([x + """\n""" for x in vocab_tokens]))
   with open(self.word_shape_file       ,	"""w"""       ,	encoding="""utf-8""") as word_shape_writer:
     json.dump(SCREAMING_SNAKE_CASE_       ,	SCREAMING_SNAKE_CASE_       ,	ensure_ascii=SCREAMING_SNAKE_CASE_)
   with open(self.word_pronunciation_file       ,	"""w"""       ,	encoding="""utf-8""") as word_pronunciation_writer:
     json.dump(SCREAMING_SNAKE_CASE_       ,	SCREAMING_SNAKE_CASE_       ,	ensure_ascii=SCREAMING_SNAKE_CASE_)


 def   lowercase__  (       self):


   '''simple docstring'''




   lowercase__	: Dict     		=   self.tokenizer_class(self.vocab_file       ,	self.word_shape_file       ,	self.word_pronunciation_file)

   lowercase__	: Optional[int]     		=   tokenizer.tokenize("""你好[SEP]你是谁""")
   self.assertListEqual(SCREAMING_SNAKE_CASE_       ,	["""你""", """好""", """[SEP]""", """你""", """是""", """谁"""])
   self.assertListEqual(tokenizer.convert_tokens_to_ids(SCREAMING_SNAKE_CASE_)       ,	[5, 6, 2, 5, 7, 8])
   self.assertListEqual(tokenizer.convert_tokens_to_shape_ids(SCREAMING_SNAKE_CASE_)       ,	[5, 6, 2, 5, 7, 8])
   self.assertListEqual(tokenizer.convert_tokens_to_pronunciation_ids(SCREAMING_SNAKE_CASE_)       ,	[5, 6, 2, 5, 7, 8])


 def   lowercase__  (       self):


   '''simple docstring'''




   lowercase__	: int     		=   RoCBertBasicTokenizer()

   self.assertListEqual(tokenizer.tokenize("""ah\u535A\u63A8zz""")       ,	["""ah""", """\u535A""", """\u63A8""", """zz"""])


 def   lowercase__  (       self):


   '''simple docstring'''




   lowercase__	: Dict     		=   RoCBertBasicTokenizer(do_lower_case=SCREAMING_SNAKE_CASE_)

   self.assertListEqual(
       tokenizer.tokenize(""" \tHeLLo!how  \n Are yoU?  """)       ,	["""hello""", """!""", """how""", """are""", """you""", """?"""])
   self.assertListEqual(tokenizer.tokenize("""H\u00E9llo""")       ,	["""hello"""])


 def   lowercase__  (       self):


   '''simple docstring'''




   lowercase__	: Any     		=   RoCBertBasicTokenizer(do_lower_case=SCREAMING_SNAKE_CASE_       ,	strip_accents=SCREAMING_SNAKE_CASE_)

   self.assertListEqual(
       tokenizer.tokenize(""" \tHäLLo!how  \n Are yoU?  """)       ,	["""hällo""", """!""", """how""", """are""", """you""", """?"""])
   self.assertListEqual(tokenizer.tokenize("""H\u00E9llo""")       ,	["""h\u00E9llo"""])


 def   lowercase__  (       self):


   '''simple docstring'''




   lowercase__	: Optional[Any]     		=   RoCBertBasicTokenizer(do_lower_case=SCREAMING_SNAKE_CASE_       ,	strip_accents=SCREAMING_SNAKE_CASE_)

   self.assertListEqual(
       tokenizer.tokenize(""" \tHäLLo!how  \n Are yoU?  """)       ,	["""hallo""", """!""", """how""", """are""", """you""", """?"""])
   self.assertListEqual(tokenizer.tokenize("""H\u00E9llo""")       ,	["""hello"""])


 def   lowercase__  (       self):


   '''simple docstring'''




   lowercase__	: Optional[Any]     		=   RoCBertBasicTokenizer(do_lower_case=SCREAMING_SNAKE_CASE_)

   self.assertListEqual(
       tokenizer.tokenize(""" \tHäLLo!how  \n Are yoU?  """)       ,	["""hallo""", """!""", """how""", """are""", """you""", """?"""])
   self.assertListEqual(tokenizer.tokenize("""H\u00E9llo""")       ,	["""hello"""])


 def   lowercase__  (       self):


   '''simple docstring'''




   lowercase__	: Union[str, Any]     		=   RoCBertBasicTokenizer(do_lower_case=SCREAMING_SNAKE_CASE_)

   self.assertListEqual(
       tokenizer.tokenize(""" \tHeLLo!how  \n Are yoU?  """)       ,	["""HeLLo""", """!""", """how""", """Are""", """yoU""", """?"""])


 def   lowercase__  (       self):


   '''simple docstring'''




   lowercase__	: str     		=   RoCBertBasicTokenizer(do_lower_case=SCREAMING_SNAKE_CASE_       ,	strip_accents=SCREAMING_SNAKE_CASE_)

   self.assertListEqual(
       tokenizer.tokenize(""" \tHäLLo!how  \n Are yoU?  """)       ,	["""HäLLo""", """!""", """how""", """Are""", """yoU""", """?"""])


 def   lowercase__  (       self):


   '''simple docstring'''




   lowercase__	: Tuple     		=   RoCBertBasicTokenizer(do_lower_case=SCREAMING_SNAKE_CASE_       ,	strip_accents=SCREAMING_SNAKE_CASE_)

   self.assertListEqual(
       tokenizer.tokenize(""" \tHäLLo!how  \n Are yoU?  """)       ,	["""HaLLo""", """!""", """how""", """Are""", """yoU""", """?"""])


 def   lowercase__  (       self):


   '''simple docstring'''




   lowercase__	: Dict     		=   RoCBertBasicTokenizer(do_lower_case=SCREAMING_SNAKE_CASE_       ,	never_split=["""[UNK]"""])

   self.assertListEqual(
       tokenizer.tokenize(""" \tHeLLo!how  \n Are yoU? [UNK]""")       ,	["""HeLLo""", """!""", """how""", """Are""", """yoU""", """?""", """[UNK]"""])


 def   lowercase__  (       self):


   '''simple docstring'''




   lowercase__	: Optional[int]     		=   ["""[UNK]""", """[CLS]""", """[SEP]""", """want""", """##want""", """##ed""", """wa""", """un""", """runn""", """##ing"""]

   lowercase__	: Optional[int]     		=   {}
   for i, token in enumerate(SCREAMING_SNAKE_CASE_):
     lowercase__	: Optional[Any]     		=   i
   lowercase__	: Union[str, Any]     		=   RoCBertWordpieceTokenizer(vocab=SCREAMING_SNAKE_CASE_       ,	unk_token="""[UNK]""")

   self.assertListEqual(tokenizer.tokenize("""""")       ,	[])

   self.assertListEqual(tokenizer.tokenize("""unwanted running""")       ,	["""un""", """##want""", """##ed""", """runn""", """##ing"""])

   self.assertListEqual(tokenizer.tokenize("""unwantedX running""")       ,	["""[UNK]""", """runn""", """##ing"""])


 def   lowercase__  (       self):


   '''simple docstring'''




   self.assertTrue(_is_whitespace(""" """))
   self.assertTrue(_is_whitespace("""\t"""))
   self.assertTrue(_is_whitespace("""\r"""))
   self.assertTrue(_is_whitespace("""\n"""))
   self.assertTrue(_is_whitespace("""\u00A0"""))

   self.assertFalse(_is_whitespace("""A"""))
   self.assertFalse(_is_whitespace("""-"""))


 def   lowercase__  (       self):


   '''simple docstring'''




   self.assertTrue(_is_control("""\u0005"""))

   self.assertFalse(_is_control("""A"""))
   self.assertFalse(_is_control(""" """))
   self.assertFalse(_is_control("""\t"""))
   self.assertFalse(_is_control("""\r"""))


 def   lowercase__  (       self):


   '''simple docstring'''




   self.assertTrue(_is_punctuation("""-"""))
   self.assertTrue(_is_punctuation("""$"""))
   self.assertTrue(_is_punctuation("""`"""))
   self.assertTrue(_is_punctuation("""."""))

   self.assertFalse(_is_punctuation("""A"""))
   self.assertFalse(_is_punctuation(""" """))


 def   lowercase__  (       self):


   '''simple docstring'''




   lowercase__	: Union[str, Any]     		=   self.get_tokenizer()

   # Example taken from the issue https://github.com/huggingface/tokenizers/issues/340
   self.assertListEqual([tokenizer.tokenize(SCREAMING_SNAKE_CASE_) for t in ["""Test""", """\xad""", """test"""]]       ,	[["""[UNK]"""], [], ["""[UNK]"""]])

   if self.test_rust_tokenizer:
     lowercase__	: int     		=   self.get_rust_tokenizer()
     self.assertListEqual(
         [rust_tokenizer.tokenize(SCREAMING_SNAKE_CASE_) for t in ["""Test""", """\xad""", """test"""]]       ,	[["""[UNK]"""], [], ["""[UNK]"""]])


 def   lowercase__  (       self):


   '''simple docstring'''




   for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
     with self.subTest(f'{tokenizer.__class__.__name__} ({pretrained_name})'):
       lowercase__	: str     		=   self.rust_tokenizer_class.from_pretrained(SCREAMING_SNAKE_CASE_       ,	**SCREAMING_SNAKE_CASE_)

       lowercase__	: Optional[int]     		=   f'A, naïve {tokenizer_r.mask_token} AllenNLP sentence.'
       lowercase__	: List[str]     		=   tokenizer_r.encode_plus(
           SCREAMING_SNAKE_CASE_       ,	return_attention_mask=SCREAMING_SNAKE_CASE_       ,	return_token_type_ids=SCREAMING_SNAKE_CASE_       ,	return_offsets_mapping=SCREAMING_SNAKE_CASE_       ,	add_special_tokens=SCREAMING_SNAKE_CASE_       ,	)

       lowercase__	: str     		=   tokenizer_r.do_lower_case if hasattr(SCREAMING_SNAKE_CASE_       ,	"""do_lower_case""") else False
       lowercase__	: Optional[Any]     		=   (
           [
               ((0, 0), tokenizer_r.cls_token),
               ((0, 1), """A"""),
               ((1, 2), ""","""),
               ((3, 5), """na"""),
               ((5, 6), """##ï"""),
               ((6, 8), """##ve"""),
               ((9, 15), tokenizer_r.mask_token),
               ((16, 21), """Allen"""),
               ((21, 23), """##NL"""),
               ((23, 24), """##P"""),
               ((25, 33), """sentence"""),
               ((33, 34), """."""),
               ((0, 0), tokenizer_r.sep_token),
           ]
           if not do_lower_case
           else [
               ((0, 0), tokenizer_r.cls_token),
               ((0, 1), """a"""),
               ((1, 2), ""","""),
               ((3, 8), """naive"""),
               ((9, 15), tokenizer_r.mask_token),
               ((16, 21), """allen"""),
               ((21, 23), """##nl"""),
               ((23, 24), """##p"""),
               ((25, 33), """sentence"""),
               ((33, 34), """."""),
               ((0, 0), tokenizer_r.sep_token),
           ]
       )

       self.assertEqual(
           [e[1] for e in expected_results]       ,	tokenizer_r.convert_ids_to_tokens(tokens["""input_ids"""]))
       self.assertEqual([e[0] for e in expected_results]       ,	tokens["""offset_mapping"""])


 def   lowercase__  (       self):


   '''simple docstring'''




   lowercase__	: Any     		=   ["""的""", """人""", """有"""]
   lowercase__	: List[str]     		=   """""".join(SCREAMING_SNAKE_CASE_)
   for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
     with self.subTest(f'{tokenizer.__class__.__name__} ({pretrained_name})'):
       lowercase__	: Union[str, Any]     		=   True
       lowercase__	: Tuple     		=   self.tokenizer_class.from_pretrained(SCREAMING_SNAKE_CASE_       ,	**SCREAMING_SNAKE_CASE_)
       lowercase__	: List[Any]     		=   self.rust_tokenizer_class.from_pretrained(SCREAMING_SNAKE_CASE_       ,	**SCREAMING_SNAKE_CASE_)

       lowercase__	: Optional[Any]     		=   tokenizer_p.encode(SCREAMING_SNAKE_CASE_       ,	add_special_tokens=SCREAMING_SNAKE_CASE_)
       lowercase__	: str     		=   tokenizer_r.encode(SCREAMING_SNAKE_CASE_       ,	add_special_tokens=SCREAMING_SNAKE_CASE_)

       lowercase__	: List[str]     		=   tokenizer_r.convert_ids_to_tokens(SCREAMING_SNAKE_CASE_)
       lowercase__	: List[str]     		=   tokenizer_p.convert_ids_to_tokens(SCREAMING_SNAKE_CASE_)

       # it is expected that each Chinese character is not preceded by "##"
       self.assertListEqual(SCREAMING_SNAKE_CASE_       ,	SCREAMING_SNAKE_CASE_)
       self.assertListEqual(SCREAMING_SNAKE_CASE_       ,	SCREAMING_SNAKE_CASE_)

       lowercase__	: Any     		=   False
       lowercase__	: Optional[Any]     		=   self.rust_tokenizer_class.from_pretrained(SCREAMING_SNAKE_CASE_       ,	**SCREAMING_SNAKE_CASE_)
       lowercase__	: Optional[Any]     		=   self.tokenizer_class.from_pretrained(SCREAMING_SNAKE_CASE_       ,	**SCREAMING_SNAKE_CASE_)

       lowercase__	: Optional[int]     		=   tokenizer_r.encode(SCREAMING_SNAKE_CASE_       ,	add_special_tokens=SCREAMING_SNAKE_CASE_)
       lowercase__	: Tuple     		=   tokenizer_p.encode(SCREAMING_SNAKE_CASE_       ,	add_special_tokens=SCREAMING_SNAKE_CASE_)

       lowercase__	: Tuple     		=   tokenizer_r.convert_ids_to_tokens(SCREAMING_SNAKE_CASE_)
       lowercase__	: Optional[Any]     		=   tokenizer_p.convert_ids_to_tokens(SCREAMING_SNAKE_CASE_)

       # it is expected that only the first Chinese character is not preceded by "##".
       lowercase__	: Any     		=   [
           f'##{token}' if idx != 0 else token for idx, token in enumerate(SCREAMING_SNAKE_CASE_)
       ]
       self.assertListEqual(SCREAMING_SNAKE_CASE_       ,	SCREAMING_SNAKE_CASE_)
       self.assertListEqual(SCREAMING_SNAKE_CASE_       ,	SCREAMING_SNAKE_CASE_)


 @slow
 def   lowercase__  (       self):


   '''simple docstring'''




   lowercase__	: Dict     		=   self.tokenizer_class(self.vocab_file       ,	self.word_shape_file       ,	self.word_pronunciation_file)

   lowercase__	: Optional[Any]     		=   tokenizer.encode("""你好"""       ,	add_special_tokens=SCREAMING_SNAKE_CASE_)
   lowercase__	: Any     		=   tokenizer.encode("""你是谁"""       ,	add_special_tokens=SCREAMING_SNAKE_CASE_)

   lowercase__	: Optional[Any]     		=   tokenizer.build_inputs_with_special_tokens(SCREAMING_SNAKE_CASE_)
   lowercase__	: Tuple     		=   tokenizer.build_inputs_with_special_tokens(SCREAMING_SNAKE_CASE_       ,	SCREAMING_SNAKE_CASE_)

   assert encoded_sentence == [1] + text + [2]
   assert encoded_pair == [1] + text + [2] + text_a + [2]



 def   lowercase__  (       self):


   '''simple docstring'''




   lowercase__	: Optional[int]     		=   self.get_tokenizers(do_lower_case=SCREAMING_SNAKE_CASE_)
   for tokenizer in tokenizers:
     with self.subTest(f'{tokenizer.__class__.__name__}'):
       lowercase__	: Optional[int]     		=   """你好，你是谁"""
       lowercase__	: List[Any]     		=   tokenizer.tokenize(SCREAMING_SNAKE_CASE_)
       lowercase__	: Union[str, Any]     		=   tokenizer.convert_tokens_to_ids(SCREAMING_SNAKE_CASE_)
       lowercase__	: Tuple     		=   tokenizer.convert_tokens_to_shape_ids(SCREAMING_SNAKE_CASE_)
       lowercase__	: List[str]     		=   tokenizer.convert_tokens_to_pronunciation_ids(SCREAMING_SNAKE_CASE_)
       lowercase__	: Any     		=   tokenizer.prepare_for_model(
           SCREAMING_SNAKE_CASE_       ,	SCREAMING_SNAKE_CASE_       ,	SCREAMING_SNAKE_CASE_       ,	add_special_tokens=SCREAMING_SNAKE_CASE_)

       lowercase__	: Dict     		=   tokenizer.encode_plus(SCREAMING_SNAKE_CASE_       ,	add_special_tokens=SCREAMING_SNAKE_CASE_)

       self.assertEqual(SCREAMING_SNAKE_CASE_       ,	SCREAMING_SNAKE_CASE_)






