
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 		UpperCamelCase__  (	A__   ,unittest.TestCase   ):
   _SCREAMING_SNAKE_CASE				:							List[str]     	=				RoCBertTokenizer
   _SCREAMING_SNAKE_CASE				:							Optional[Any]     	=				None
   _SCREAMING_SNAKE_CASE				:							Optional[int]     	=				False
   _SCREAMING_SNAKE_CASE				:							int     	=				True
   _SCREAMING_SNAKE_CASE				:							Tuple     	=				filter_non_english
   def 				lowerCAmelCase      (self			: List[str]       ):
    super().setUp()

    __a			:  Union[str, Any]		    =  ["""[UNK]""", """[CLS]""", """[SEP]""", """[PAD]""", """[MASK]""", """你""", """好""", """是""", """谁""", """a""", """b""", """c""", """d"""]
    __a			:  Dict		    =  {}
    __a			:  Union[str, Any]		    =  {}
    for i, value in enumerate(__A       ):
     __a			:  List[Any]		    =  i
     __a			:  List[str]		    =  i
    __a			:  List[Any]		    =  os.path.join(self.tmpdirname ,    VOCAB_FILES_NAMES['''vocab_file''']       )
    __a			:  str		    =  os.path.join(self.tmpdirname ,    VOCAB_FILES_NAMES['''word_shape_file''']       )
    __a			:  Optional[int]		    =  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(__A ,    __A ,    ensure_ascii=__A       )
    with open(self.word_pronunciation_file ,    '''w''' ,    encoding='''utf-8'''       ) as word_pronunciation_writer:
     json.dump(__A ,    __A ,    ensure_ascii=__A       )
   def 				lowerCAmelCase      (self			: Union[str, Any]       ):
    __a			:  Optional[Any]		    =  self.tokenizer_class(self.vocab_file ,    self.word_shape_file ,    self.word_pronunciation_file       )

    __a			:  Dict		    =  tokenizer.tokenize('''你好[SEP]你是谁'''       )
    self.assertListEqual(__A ,    ['''你''', '''好''', '''[SEP]''', '''你''', '''是''', '''谁''']       )
    self.assertListEqual(tokenizer.convert_tokens_to_ids(__A       ) ,    [5, 6, 2, 5, 7, 8]       )
    self.assertListEqual(tokenizer.convert_tokens_to_shape_ids(__A       ) ,    [5, 6, 2, 5, 7, 8]       )
    self.assertListEqual(tokenizer.convert_tokens_to_pronunciation_ids(__A       ) ,    [5, 6, 2, 5, 7, 8]       )
   def 				lowerCAmelCase      (self			: List[str]       ):
    __a			:  List[Any]		    =  RoCBertBasicTokenizer()

    self.assertListEqual(tokenizer.tokenize('''ah\u535A\u63A8zz'''       ) ,    ['''ah''', '''\u535A''', '''\u63A8''', '''zz''']       )
   def 				lowerCAmelCase      (self			: str       ):
    __a			:  str		    =  RoCBertBasicTokenizer(do_lower_case=__A       )

    self.assertListEqual(
        tokenizer.tokenize(''' \tHeLLo!how  \n Are yoU?  '''       ) ,    ['''hello''', '''!''', '''how''', '''are''', '''you''', '''?''']       )
    self.assertListEqual(tokenizer.tokenize('''H\u00E9llo'''       ) ,    ['''hello''']       )
   def 				lowerCAmelCase      (self			: Union[str, Any]       ):
    __a			:  Union[str, Any]		    =  RoCBertBasicTokenizer(do_lower_case=__A ,    strip_accents=__A       )

    self.assertListEqual(
        tokenizer.tokenize(''' \tHäLLo!how  \n Are yoU?  '''       ) ,    ['''hällo''', '''!''', '''how''', '''are''', '''you''', '''?''']       )
    self.assertListEqual(tokenizer.tokenize('''H\u00E9llo'''       ) ,    ['''h\u00E9llo''']       )
   def 				lowerCAmelCase      (self			: Tuple       ):
    __a			:  Dict		    =  RoCBertBasicTokenizer(do_lower_case=__A ,    strip_accents=__A       )

    self.assertListEqual(
        tokenizer.tokenize(''' \tHäLLo!how  \n Are yoU?  '''       ) ,    ['''hallo''', '''!''', '''how''', '''are''', '''you''', '''?''']       )
    self.assertListEqual(tokenizer.tokenize('''H\u00E9llo'''       ) ,    ['''hello''']       )
   def 				lowerCAmelCase      (self			: Optional[Any]       ):
    __a			:  str		    =  RoCBertBasicTokenizer(do_lower_case=__A       )

    self.assertListEqual(
        tokenizer.tokenize(''' \tHäLLo!how  \n Are yoU?  '''       ) ,    ['''hallo''', '''!''', '''how''', '''are''', '''you''', '''?''']       )
    self.assertListEqual(tokenizer.tokenize('''H\u00E9llo'''       ) ,    ['''hello''']       )
   def 				lowerCAmelCase      (self			: Optional[int]       ):
    __a			:  int		    =  RoCBertBasicTokenizer(do_lower_case=__A       )

    self.assertListEqual(
        tokenizer.tokenize(''' \tHeLLo!how  \n Are yoU?  '''       ) ,    ['''HeLLo''', '''!''', '''how''', '''Are''', '''yoU''', '''?''']       )
   def 				lowerCAmelCase      (self			: Dict       ):
    __a			:  Union[str, Any]		    =  RoCBertBasicTokenizer(do_lower_case=__A ,    strip_accents=__A       )

    self.assertListEqual(
        tokenizer.tokenize(''' \tHäLLo!how  \n Are yoU?  '''       ) ,    ['''HäLLo''', '''!''', '''how''', '''Are''', '''yoU''', '''?''']       )
   def 				lowerCAmelCase      (self			: Any       ):
    __a			:  Any		    =  RoCBertBasicTokenizer(do_lower_case=__A ,    strip_accents=__A       )

    self.assertListEqual(
        tokenizer.tokenize(''' \tHäLLo!how  \n Are yoU?  '''       ) ,    ['''HaLLo''', '''!''', '''how''', '''Are''', '''yoU''', '''?''']       )
   def 				lowerCAmelCase      (self			: int       ):
    __a			:  int		    =  RoCBertBasicTokenizer(do_lower_case=__A ,    never_split=['''[UNK]''']       )

    self.assertListEqual(
        tokenizer.tokenize(''' \tHeLLo!how  \n Are yoU? [UNK]'''       ) ,    ['''HeLLo''', '''!''', '''how''', '''Are''', '''yoU''', '''?''', '''[UNK]''']       )
   def 				lowerCAmelCase      (self			: int       ):
    __a			:  List[Any]		    =  ["""[UNK]""", """[CLS]""", """[SEP]""", """want""", """##want""", """##ed""", """wa""", """un""", """runn""", """##ing"""]

    __a			:  Any		    =  {}
    for i, token in enumerate(__A       ):
     __a			:  int		    =  i
    __a			:  Union[str, Any]		    =  RoCBertWordpieceTokenizer(vocab=__A ,    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 				lowerCAmelCase      (self			: int       ):
    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 				lowerCAmelCase      (self			: List[str]       ):
    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 				lowerCAmelCase      (self			: Union[str, Any]       ):
    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 				lowerCAmelCase      (self			: Dict       ):
    __a			:  List[str]		    =  self.get_tokenizer()

    # Example taken from the issue https://github.com/huggingface/tokenizers/issues/340
    self.assertListEqual([tokenizer.tokenize(__A       ) for t in ['''Test''', '''\xad''', '''test''']] ,    [['''[UNK]'''], [], ['''[UNK]''']]       )

    if self.test_rust_tokenizer:
     __a			:  List[str]		    =  self.get_rust_tokenizer()
     self.assertListEqual(
         [rust_tokenizer.tokenize(__A       ) for t in ['''Test''', '''\xad''', '''test''']] ,    [['''[UNK]'''], [], ['''[UNK]''']]       )
   def 				lowerCAmelCase      (self			: str       ):
    for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
     with self.subTest(f"{tokenizer.__class__.__name__} ({pretrained_name})"       ):
      __a			:  Union[str, Any]		    =  self.rust_tokenizer_class.from_pretrained(__A ,    **__A       )

      __a			:  Union[str, Any]		    =  f"A, naïve {tokenizer_r.mask_token} AllenNLP sentence."
      __a			:  List[Any]		    =  tokenizer_r.encode_plus(
          __A ,    return_attention_mask=__A ,    return_token_type_ids=__A ,    return_offsets_mapping=__A ,    add_special_tokens=__A ,    )

      __a			:  List[str]		    =  tokenizer_r.do_lower_case if hasattr(__A ,    '''do_lower_case'''       ) else False
      __a			:  List[str]		    =  (
          [
              ((0, 0), tokenizer_r.cls_token),
              ((0, 1), """A"""),
              ((1, 2), ""","""),
              ((3, 5), """na"""),
              ((5, 6), """##ï"""),
              ((6, 8), """##ve"""),
              ((9, 1_5), tokenizer_r.mask_token),
              ((1_6, 2_1), """Allen"""),
              ((2_1, 2_3), """##NL"""),
              ((2_3, 2_4), """##P"""),
              ((2_5, 3_3), """sentence"""),
              ((3_3, 3_4), """."""),
              ((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, 1_5), tokenizer_r.mask_token),
              ((1_6, 2_1), """allen"""),
              ((2_1, 2_3), """##nl"""),
              ((2_3, 2_4), """##p"""),
              ((2_5, 3_3), """sentence"""),
              ((3_3, 3_4), """."""),
              ((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 				lowerCAmelCase      (self			: str       ):
    __a			:  Tuple		    =  ["""的""", """人""", """有"""]
    __a			:  Optional[Any]		    =  """""".join(__A       )
    for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
     with self.subTest(f"{tokenizer.__class__.__name__} ({pretrained_name})"       ):
      __a			:  str		    =  True
      __a			:  Tuple		    =  self.tokenizer_class.from_pretrained(__A ,    **__A       )
      __a			:  str		    =  self.rust_tokenizer_class.from_pretrained(__A ,    **__A       )

      __a			:  Optional[Any]		    =  tokenizer_p.encode(__A ,    add_special_tokens=__A       )
      __a			:  str		    =  tokenizer_r.encode(__A ,    add_special_tokens=__A       )

      __a			:  List[Any]		    =  tokenizer_r.convert_ids_to_tokens(__A       )
      __a			:  List[Any]		    =  tokenizer_p.convert_ids_to_tokens(__A       )

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

      __a			:  Union[str, Any]		    =  False
      __a			:  Tuple		    =  self.rust_tokenizer_class.from_pretrained(__A ,    **__A       )
      __a			:  str		    =  self.tokenizer_class.from_pretrained(__A ,    **__A       )

      __a			:  Dict		    =  tokenizer_r.encode(__A ,    add_special_tokens=__A       )
      __a			:  Tuple		    =  tokenizer_p.encode(__A ,    add_special_tokens=__A       )

      __a			:  Dict		    =  tokenizer_r.convert_ids_to_tokens(__A       )
      __a			:  Optional[Any]		    =  tokenizer_p.convert_ids_to_tokens(__A       )

      # it is expected that only the first Chinese character is not preceded by "##".
      __a			:  int		    =  [
          f"##{token}" if idx != 0 else token for idx, token in enumerate(__A       )
      ]
      self.assertListEqual(__A ,    __A       )
      self.assertListEqual(__A ,    __A       )
   @slow
   def 				lowerCAmelCase      (self			: str       ):
    __a			:  List[Any]		    =  self.tokenizer_class(self.vocab_file ,    self.word_shape_file ,    self.word_pronunciation_file       )

    __a			:  Tuple		    =  tokenizer.encode('''你好''' ,    add_special_tokens=__A       )
    __a			:  Union[str, Any]		    =  tokenizer.encode('''你是谁''' ,    add_special_tokens=__A       )

    __a			:  Dict		    =  tokenizer.build_inputs_with_special_tokens(__A       )
    __a			:  List[str]		    =  tokenizer.build_inputs_with_special_tokens(__A ,    __A       )

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







   def 				lowerCAmelCase      (self			: Any       ):
    __a			:  Union[str, Any]		    =  self.get_tokenizers(do_lower_case=__A       )
    for tokenizer in tokenizers:
     with self.subTest(f"{tokenizer.__class__.__name__}"       ):
      __a			:  str		    =  """你好，你是谁"""
      __a			:  List[str]		    =  tokenizer.tokenize(__A       )
      __a			:  Any		    =  tokenizer.convert_tokens_to_ids(__A       )
      __a			:  Tuple		    =  tokenizer.convert_tokens_to_shape_ids(__A       )
      __a			:  Dict		    =  tokenizer.convert_tokens_to_pronunciation_ids(__A       )
      __a			:  List[Any]		    =  tokenizer.prepare_for_model(
          __A ,    __A ,    __A ,    add_special_tokens=__A       )

      __a			:  Union[str, Any]		    =  tokenizer.encode_plus(__A ,    add_special_tokens=__A       )

      self.assertEqual(__A ,    __A       )


import unittest

from transformers import is_torch_available
from transformers.testing_utils import require_sentencepiece, require_tokenizers, require_torch, slow, torch_device


if is_torch_available():
      from transformers import AutoModelForSeqaSeqLM, AutoTokenizer



@require_torch
@require_sentencepiece
@require_tokenizers
class 		UpperCamelCase__  (	unittest.TestCase   ):
   @slow
   def 				lowerCAmelCase      (self			: Tuple       ):
    __a			:  List[str]		    =  AutoModelForSeqaSeqLM.from_pretrained('''google/mt5-small''' ,    return_dict=snake_case_       ).to(snake_case_       )
    __a			:  List[Any]		    =  AutoTokenizer.from_pretrained('''google/mt5-small'''       )

    __a			:  Optional[int]		    =  tokenizer('''Hello there''' ,    return_tensors='''pt'''       ).input_ids
    __a			:  Dict		    =  tokenizer('''Hi I am''' ,    return_tensors='''pt'''       ).input_ids

    __a			:  Optional[Any]		    =  model(input_ids.to(snake_case_       ) ,    labels=labels.to(snake_case_       )       ).loss
    __a			:  Tuple		    =  -(labels.shape[-1] * loss.item())

    __a			:  Dict		    =  -84.9127
    self.assertTrue(abs(mtf_score - EXPECTED_SCORE       ) < 1E-4       )
