





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     SCREAMING_SNAKE_CASE       (UpperCAmelCase      ,     unittest.TestCase				):
   _UpperCamelCase   :		Dict			 =	RoCBertTokenizer
   _UpperCamelCase   :		Tuple			 =	None
   _UpperCamelCase   :		Tuple			 =	False
   _UpperCamelCase   :		int			 =	True
   _UpperCamelCase   :		Any			 =	filter_non_english


   def 	SCREAMING_SNAKE_CASE_							(   self      :    Any	)->       List[Any]:





     """simple docstring"""







     super().setUp()

     lowercase__           =  ['[UNK]', '[CLS]', '[SEP]', '[PAD]', '[MASK]', '你', '好', '是', '谁', 'a', 'b', 'c', 'd']
     lowercase__           =  {}
     lowercase__           =  {}
     for i, value in enumerate(a	):
       lowercase__           =  i
       lowercase__           =  i
     lowercase__           =  os.path.join(self.tmpdirname      ,					VOCAB_FILES_NAMES['vocab_file']	)
     lowercase__           =  os.path.join(self.tmpdirname      ,					VOCAB_FILES_NAMES['word_shape_file']	)
     lowercase__           =  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 	SCREAMING_SNAKE_CASE_							(   self      :    Any	)->       Any:





     """simple docstring"""







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

     lowercase__           =  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 	SCREAMING_SNAKE_CASE_							(   self      :    List[Any]	)->       Optional[Any]:





     """simple docstring"""







     lowercase__           =  RoCBertBasicTokenizer()

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


   def 	SCREAMING_SNAKE_CASE_							(   self      :    Dict	)->       Dict:





     """simple docstring"""







     lowercase__           =  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 	SCREAMING_SNAKE_CASE_							(   self      :    List[Any]	)->       str:





     """simple docstring"""







     lowercase__           =  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 	SCREAMING_SNAKE_CASE_							(   self      :    Dict	)->       Optional[int]:





     """simple docstring"""







     lowercase__           =  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 	SCREAMING_SNAKE_CASE_							(   self      :    Optional[int]	)->       Union[str, Any]:





     """simple docstring"""







     lowercase__           =  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 	SCREAMING_SNAKE_CASE_							(   self      :    Tuple	)->       Dict:





     """simple docstring"""







     lowercase__           =  RoCBertBasicTokenizer(do_lower_case=a	)

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


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





     """simple docstring"""







     lowercase__           =  RoCBertBasicTokenizer(do_lower_case=a      ,					strip_accents=a	)

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


   def 	SCREAMING_SNAKE_CASE_							(   self      :    Dict	)->       int:





     """simple docstring"""







     lowercase__           =  RoCBertBasicTokenizer(do_lower_case=a      ,					strip_accents=a	)

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


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





     """simple docstring"""







     lowercase__           =  RoCBertBasicTokenizer(do_lower_case=a      ,					never_split=['[UNK]']	)

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


   def 	SCREAMING_SNAKE_CASE_							(   self      :    Dict	)->       Dict:





     """simple docstring"""







     lowercase__           =  ['[UNK]', '[CLS]', '[SEP]', 'want', '##want', '##ed', 'wa', 'un', 'runn', '##ing']

     lowercase__           =  {}
     for i, token in enumerate(a	):
       lowercase__           =  i
     lowercase__           =  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 	SCREAMING_SNAKE_CASE_							(   self      :    Optional[int]	)->       Any:





     """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 	SCREAMING_SNAKE_CASE_							(   self      :    Union[str, Any]	)->       Optional[int]:





     """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 	SCREAMING_SNAKE_CASE_							(   self      :    int	)->       Optional[int]:





     """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 	SCREAMING_SNAKE_CASE_							(   self      :    Optional[Any]	)->       List[str]:





     """simple docstring"""







     lowercase__           =  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:
       lowercase__           =  self.get_rust_tokenizer()
       self.assertListEqual(
           [rust_tokenizer.tokenize(a	) for t in ['Test', '\xad', 'test']]      ,					[['[UNK]'], [], ['[UNK]']]	)


   def 	SCREAMING_SNAKE_CASE_							(   self      :    str	)->       int:





     """simple docstring"""







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

         lowercase__           =  f"""A, naïve {tokenizer_r.mask_token} AllenNLP sentence."""
         lowercase__           =  tokenizer_r.encode_plus(
             a      ,					return_attention_mask=a      ,					return_token_type_ids=a      ,					return_offsets_mapping=a      ,					add_special_tokens=a      ,					)

         lowercase__           =  tokenizer_r.do_lower_case if hasattr(a      ,					'do_lower_case'	) else False
         lowercase__           =  (
             [
                 ((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 	SCREAMING_SNAKE_CASE_							(   self      :    int	)->       List[str]:





     """simple docstring"""







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

         lowercase__           =  tokenizer_p.encode(a      ,					add_special_tokens=a	)
         lowercase__           =  tokenizer_r.encode(a      ,					add_special_tokens=a	)

         lowercase__           =  tokenizer_r.convert_ids_to_tokens(a	)
         lowercase__           =  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	)

         lowercase__           =  False
         lowercase__           =  self.rust_tokenizer_class.from_pretrained(a      ,					**a	)
         lowercase__           =  self.tokenizer_class.from_pretrained(a      ,					**a	)

         lowercase__           =  tokenizer_r.encode(a      ,					add_special_tokens=a	)
         lowercase__           =  tokenizer_p.encode(a      ,					add_special_tokens=a	)

         lowercase__           =  tokenizer_r.convert_ids_to_tokens(a	)
         lowercase__           =  tokenizer_p.convert_ids_to_tokens(a	)

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


   @slow
   def 	SCREAMING_SNAKE_CASE_							(   self      :    List[Any]	)->       Union[str, Any]:





     """simple docstring"""







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

     lowercase__           =  tokenizer.encode('你好'      ,					add_special_tokens=a	)
     lowercase__           =  tokenizer.encode('你是谁'      ,					add_special_tokens=a	)

     lowercase__           =  tokenizer.build_inputs_with_special_tokens(a	)
     lowercase__           =  tokenizer.build_inputs_with_special_tokens(a      ,					a	)

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


   def 	SCREAMING_SNAKE_CASE_							(   self      :    Optional[Any]	)->       Optional[Any]:





     """simple docstring"""







     lowercase__           =  self.get_tokenizers(do_lower_case=a	)
     for tokenizer in tokenizers:
       with self.subTest(f"""{tokenizer.__class__.__name__}"""	):
         lowercase__           =  '你好，你是谁'
         lowercase__           =  tokenizer.tokenize(a	)
         lowercase__           =  tokenizer.convert_tokens_to_ids(a	)
         lowercase__           =  tokenizer.convert_tokens_to_shape_ids(a	)
         lowercase__           =  tokenizer.convert_tokens_to_pronunciation_ids(a	)
         lowercase__           =  tokenizer.prepare_for_model(
             a      ,					a      ,					a      ,					add_special_tokens=a	)

         lowercase__           =  tokenizer.encode_plus(a      ,					add_special_tokens=a	)

         self.assertEqual(a      ,					a	)









from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_tf_available,
    is_torch_available,
    is_vision_available,
)


lowercase_          =		{
    """configuration_efficientformer""": [
        """EFFICIENTFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP""",
        """EfficientFormerConfig""",
    ]
}

try:
      if not is_vision_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      lowercase_          =		["""EfficientFormerImageProcessor"""]

try:
      if not is_torch_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      lowercase_          =		[
          """EFFICIENTFORMER_PRETRAINED_MODEL_ARCHIVE_LIST""",
          """EfficientFormerForImageClassification""",
          """EfficientFormerForImageClassificationWithTeacher""",
          """EfficientFormerModel""",
          """EfficientFormerPreTrainedModel""",
      ]

try:
      if not is_tf_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      lowercase_          =		[
          """TF_EFFICIENTFORMER_PRETRAINED_MODEL_ARCHIVE_LIST""",
          """TFEfficientFormerForImageClassification""",
          """TFEfficientFormerForImageClassificationWithTeacher""",
          """TFEfficientFormerModel""",
          """TFEfficientFormerPreTrainedModel""",
      ]

if TYPE_CHECKING:
      from .configuration_efficientformer import EFFICIENTFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, EfficientFormerConfig

      try:
            if not is_vision_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .image_processing_efficientformer import EfficientFormerImageProcessor

      try:
            if not is_torch_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_efficientformer import (
                EFFICIENTFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
                EfficientFormerForImageClassification,
                EfficientFormerForImageClassificationWithTeacher,
                EfficientFormerModel,
                EfficientFormerPreTrainedModel,
            )
      try:
            if not is_tf_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_tf_efficientformer import (
                TF_EFFICIENTFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
                TFEfficientFormerForImageClassification,
                TFEfficientFormerForImageClassificationWithTeacher,
                TFEfficientFormerModel,
                TFEfficientFormerPreTrainedModel,
            )

else:
      import sys

      lowercase_          =		_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)


