






import os
import unittest

from transformers import MobileBertTokenizer, MobileBertTokenizerFast
from transformers.models.bert.tokenization_bert import (
    VOCAB_FILES_NAMES,
    BasicTokenizer,
    WordpieceTokenizer,
    _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			(			lowerCAmelCase      ,		unittest.TestCase					):
     '''simple docstring'''


     UpperCamelCase_							:		List[str]			=	MobileBertTokenizer
     UpperCamelCase_							:		int			=	MobileBertTokenizerFast
     UpperCamelCase_							:		Dict			=	True
     UpperCamelCase_							:		int			=	True
     UpperCamelCase_							:		Dict			=	filter_non_english
     UpperCamelCase_							:		Any			=	'''google/mobilebert-uncased'''


     def 				_A       (				self       :	Dict      ):
       super().setUp()

       SCREAMING_SNAKE_CASE       :      Tuple							=    [
           "[UNK]",
           "[CLS]",
           "[SEP]",
           "[PAD]",
           "[MASK]",
           "want",
           "##want",
           "##ed",
           "wa",
           "un",
           "runn",
           "##ing",
           ",",
           "low",
           "lowest",
       ]
       SCREAMING_SNAKE_CASE       :      Optional[int]							=    os.path.join(self.tmpdirname					, VOCAB_FILES_NAMES["vocab_file"]      )
       with open(self.vocab_file					, "w"					, encoding="utf-8"      ) as vocab_writer:
         vocab_writer.write("".join([x + "\n" for x in vocab_tokens]      )      )

       SCREAMING_SNAKE_CASE       :      List[Any]							=    [
           (tokenizer_def[0], self.pre_trained_model_path, tokenizer_def[2])  # else the 'google/' prefix is stripped
           for tokenizer_def in self.tokenizers_list
       ]


     def 				_A       (				self       :	Dict					, UpperCAmelCase_       :	str      ):
       SCREAMING_SNAKE_CASE       :      List[str]							=    "UNwant\u00E9d,running"
       SCREAMING_SNAKE_CASE       :      str							=    "unwanted, running"
       return input_text, output_text


     def 				_A       (				self       :	List[Any]      ):
       SCREAMING_SNAKE_CASE       :      Optional[Any]							=    self.tokenizer_class(self.vocab_file      )

       SCREAMING_SNAKE_CASE       :      int							=    tokenizer.tokenize("UNwant\u00E9d,running"      )
       self.assertListEqual(UpperCAmelCase_					, ["un", "##want", "##ed", ",", "runn", "##ing"]      )
       self.assertListEqual(tokenizer.convert_tokens_to_ids(UpperCAmelCase_      )					, [9, 6, 7, 12, 10, 11]      )


     def 				_A       (				self       :	int      ):
       if not self.test_rust_tokenizer:
         return

       SCREAMING_SNAKE_CASE       :      int							=    self.get_tokenizer()
       SCREAMING_SNAKE_CASE       :      List[str]							=    self.get_rust_tokenizer()

       SCREAMING_SNAKE_CASE       :      Dict							=    "UNwant\u00E9d,running"

       SCREAMING_SNAKE_CASE       :      int							=    tokenizer.tokenize(UpperCAmelCase_      )
       SCREAMING_SNAKE_CASE       :      List[Any]							=    rust_tokenizer.tokenize(UpperCAmelCase_      )
       self.assertListEqual(UpperCAmelCase_					, UpperCAmelCase_      )

       SCREAMING_SNAKE_CASE       :      List[Any]							=    tokenizer.encode(UpperCAmelCase_					, add_special_tokens=UpperCAmelCase_      )
       SCREAMING_SNAKE_CASE       :      List[Any]							=    rust_tokenizer.encode(UpperCAmelCase_					, add_special_tokens=UpperCAmelCase_      )
       self.assertListEqual(UpperCAmelCase_					, UpperCAmelCase_      )

       SCREAMING_SNAKE_CASE       :      List[Any]							=    self.get_rust_tokenizer()
       SCREAMING_SNAKE_CASE       :      Optional[int]							=    tokenizer.encode(UpperCAmelCase_      )
       SCREAMING_SNAKE_CASE       :      Optional[int]							=    rust_tokenizer.encode(UpperCAmelCase_      )
       self.assertListEqual(UpperCAmelCase_					, UpperCAmelCase_      )

       # With lower casing
       SCREAMING_SNAKE_CASE       :      Optional[int]							=    self.get_tokenizer(do_lower_case=UpperCAmelCase_      )
       SCREAMING_SNAKE_CASE       :      Any							=    self.get_rust_tokenizer(do_lower_case=UpperCAmelCase_      )

       SCREAMING_SNAKE_CASE       :      Dict							=    "UNwant\u00E9d,running"

       SCREAMING_SNAKE_CASE       :      List[Any]							=    tokenizer.tokenize(UpperCAmelCase_      )
       SCREAMING_SNAKE_CASE       :      List[Any]							=    rust_tokenizer.tokenize(UpperCAmelCase_      )
       self.assertListEqual(UpperCAmelCase_					, UpperCAmelCase_      )

       SCREAMING_SNAKE_CASE       :      Optional[Any]							=    tokenizer.encode(UpperCAmelCase_					, add_special_tokens=UpperCAmelCase_      )
       SCREAMING_SNAKE_CASE       :      Union[str, Any]							=    rust_tokenizer.encode(UpperCAmelCase_					, add_special_tokens=UpperCAmelCase_      )
       self.assertListEqual(UpperCAmelCase_					, UpperCAmelCase_      )

       SCREAMING_SNAKE_CASE       :      Tuple							=    self.get_rust_tokenizer()
       SCREAMING_SNAKE_CASE       :      Dict							=    tokenizer.encode(UpperCAmelCase_      )
       SCREAMING_SNAKE_CASE       :      Dict							=    rust_tokenizer.encode(UpperCAmelCase_      )
       self.assertListEqual(UpperCAmelCase_					, UpperCAmelCase_      )


     def 				_A       (				self       :	str      ):
       SCREAMING_SNAKE_CASE       :      Optional[Any]							=    BasicTokenizer()

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


     def 				_A       (				self       :	Dict      ):
       SCREAMING_SNAKE_CASE       :      Dict							=    BasicTokenizer(do_lower_case=UpperCAmelCase_      )

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


     def 				_A       (				self       :	int      ):
       SCREAMING_SNAKE_CASE       :      List[str]							=    BasicTokenizer(do_lower_case=UpperCAmelCase_					, strip_accents=UpperCAmelCase_      )

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


     def 				_A       (				self       :	List[Any]      ):
       SCREAMING_SNAKE_CASE       :      Tuple							=    BasicTokenizer(do_lower_case=UpperCAmelCase_					, strip_accents=UpperCAmelCase_      )

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


     def 				_A       (				self       :	Any      ):
       SCREAMING_SNAKE_CASE       :      List[str]							=    BasicTokenizer(do_lower_case=UpperCAmelCase_      )

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


     def 				_A       (				self       :	List[str]      ):
       SCREAMING_SNAKE_CASE       :      Optional[int]							=    BasicTokenizer(do_lower_case=UpperCAmelCase_      )

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


     def 				_A       (				self       :	int      ):
       SCREAMING_SNAKE_CASE       :      List[str]							=    BasicTokenizer(do_lower_case=UpperCAmelCase_					, strip_accents=UpperCAmelCase_      )

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


     def 				_A       (				self       :	List[str]      ):
       SCREAMING_SNAKE_CASE       :      str							=    BasicTokenizer(do_lower_case=UpperCAmelCase_					, strip_accents=UpperCAmelCase_      )

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


     def 				_A       (				self       :	Union[str, Any]      ):
       SCREAMING_SNAKE_CASE       :      Tuple							=    BasicTokenizer(do_lower_case=UpperCAmelCase_					, never_split=["[UNK]"]      )

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


     def 				_A       (				self       :	Union[str, Any]      ):
       SCREAMING_SNAKE_CASE       :      Optional[Any]							=    ["[UNK]", "[CLS]", "[SEP]", "want", "##want", "##ed", "wa", "un", "runn", "##ing"]

       SCREAMING_SNAKE_CASE       :      Tuple							=    {}
       for i, token in enumerate(UpperCAmelCase_      ):
         SCREAMING_SNAKE_CASE       :      Optional[Any]							=    i
       SCREAMING_SNAKE_CASE       :      List[Any]							=    WordpieceTokenizer(vocab=UpperCAmelCase_					, 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 				_A       (				self       :	Tuple      ):
       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 				_A       (				self       :	Tuple      ):
       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 				_A       (				self       :	Optional[int]      ):
       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 				_A       (				self       :	List[str]      ):
       SCREAMING_SNAKE_CASE       :      List[Any]							=    self.get_tokenizer()
       SCREAMING_SNAKE_CASE       :      int							=    self.get_rust_tokenizer()

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

       self.assertListEqual(
           [rust_tokenizer.tokenize(UpperCAmelCase_      ) for t in ["Test", "\xad", "test"]]					, [["[UNK]"], [], ["[UNK]"]]      )


     @slow
     def 				_A       (				self       :	Tuple      ):
       SCREAMING_SNAKE_CASE       :      List[str]							=    self.tokenizer_class.from_pretrained("google/mobilebert-uncased"      )

       SCREAMING_SNAKE_CASE       :      Optional[int]							=    tokenizer.encode("sequence builders"					, add_special_tokens=UpperCAmelCase_      )
       SCREAMING_SNAKE_CASE       :      Any							=    tokenizer.encode("multi-sequence build"					, add_special_tokens=UpperCAmelCase_      )

       SCREAMING_SNAKE_CASE       :      Any							=    tokenizer.build_inputs_with_special_tokens(UpperCAmelCase_      )
       SCREAMING_SNAKE_CASE       :      Tuple							=    tokenizer.build_inputs_with_special_tokens(UpperCAmelCase_					, UpperCAmelCase_      )

       assert encoded_sentence == [101] + text + [102]
       assert encoded_pair == [101] + text + [102] + text_a + [102]


     def 				_A       (				self       :	Optional[Any]      ):
       for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
         with self.subTest(f'''{tokenizer.__class__.__name__} ({pretrained_name})'''      ):
           SCREAMING_SNAKE_CASE       :      Dict							=    self.rust_tokenizer_class.from_pretrained(UpperCAmelCase_					, **UpperCAmelCase_      )

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

           SCREAMING_SNAKE_CASE       :      List[str]							=    tokenizer_r.do_lower_case if hasattr(UpperCAmelCase_					, "do_lower_case"      ) else False
           SCREAMING_SNAKE_CASE       :      Union[str, 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 				_A       (				self       :	Any      ):
       SCREAMING_SNAKE_CASE       :      Optional[Any]							=    ["的", "人", "有"]
       SCREAMING_SNAKE_CASE       :      Optional[Any]							=    "".join(UpperCAmelCase_      )
       for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
         with self.subTest(f'''{tokenizer.__class__.__name__} ({pretrained_name})'''      ):
           SCREAMING_SNAKE_CASE       :      int							=    True
           SCREAMING_SNAKE_CASE       :      Any							=    self.tokenizer_class.from_pretrained(UpperCAmelCase_					, **UpperCAmelCase_      )
           SCREAMING_SNAKE_CASE       :      str							=    self.rust_tokenizer_class.from_pretrained(UpperCAmelCase_					, **UpperCAmelCase_      )

           SCREAMING_SNAKE_CASE       :      str							=    tokenizer_p.encode(UpperCAmelCase_					, add_special_tokens=UpperCAmelCase_      )
           SCREAMING_SNAKE_CASE       :      Optional[int]							=    tokenizer_r.encode(UpperCAmelCase_					, add_special_tokens=UpperCAmelCase_      )

           SCREAMING_SNAKE_CASE       :      Tuple							=    tokenizer_r.convert_ids_to_tokens(UpperCAmelCase_      )
           SCREAMING_SNAKE_CASE       :      Dict							=    tokenizer_p.convert_ids_to_tokens(UpperCAmelCase_      )

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

           SCREAMING_SNAKE_CASE       :      Any							=    False
           SCREAMING_SNAKE_CASE       :      int							=    self.rust_tokenizer_class.from_pretrained(UpperCAmelCase_					, **UpperCAmelCase_      )
           SCREAMING_SNAKE_CASE       :      Dict							=    self.tokenizer_class.from_pretrained(UpperCAmelCase_					, **UpperCAmelCase_      )

           SCREAMING_SNAKE_CASE       :      Dict							=    tokenizer_r.encode(UpperCAmelCase_					, add_special_tokens=UpperCAmelCase_      )
           SCREAMING_SNAKE_CASE       :      List[Any]							=    tokenizer_p.encode(UpperCAmelCase_					, add_special_tokens=UpperCAmelCase_      )

           SCREAMING_SNAKE_CASE       :      int							=    tokenizer_r.convert_ids_to_tokens(UpperCAmelCase_      )
           SCREAMING_SNAKE_CASE       :      int							=    tokenizer_p.convert_ids_to_tokens(UpperCAmelCase_      )

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














from transformers import HfArgumentParser, TensorFlowBenchmark, TensorFlowBenchmarkArguments


def   lowerCamelCase__			(     ):

  """simple docstring"""






  SCREAMING_SNAKE_CASE       :      List[Any]							=    HfArgumentParser(lowercase				)
  SCREAMING_SNAKE_CASE       :      Any							=    parser.parse_args_into_dataclasses()[0]
  SCREAMING_SNAKE_CASE       :      Optional[Any]							=    TensorFlowBenchmark(args=lowercase				)
  try:
    SCREAMING_SNAKE_CASE       :      Union[str, Any]							=    parser.parse_args_into_dataclasses()[0]
  except ValueError as e:
    SCREAMING_SNAKE_CASE       :      int							=    "Arg --no_{0} is no longer used, please use --no-{0} instead."
    SCREAMING_SNAKE_CASE       :      Optional[int]							=    " ".join(str(lowercase				).split(" "				)[:-1]				)
    SCREAMING_SNAKE_CASE       :      Union[str, Any]							=    ""
    SCREAMING_SNAKE_CASE       :      Any							=    eval(str(lowercase				).split(" "				)[-1]				)
    SCREAMING_SNAKE_CASE       :      List[str]							=    []
    for arg in depreciated_args:
      # arg[2:] removes '--'
      if arg[2:] in TensorFlowBenchmark.deprecated_args:
        # arg[5:] removes '--no_'
        full_error_msg += arg_error_msg.format(arg[5:]				)
      else:
        wrong_args.append(lowercase				)
    if len(lowercase				) > 0:
      SCREAMING_SNAKE_CASE       :      Optional[int]							=    full_error_msg + begin_error_msg + str(lowercase				)
    raise ValueError(lowercase				)
  benchmark.run()


if __name__ == "__main__":
   main()






