



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__     (		SCREAMING_SNAKE_CASE__ ,						unittest.TestCase    ):




    '''simple docstring'''






    __lowerCamelCase			: Optional[Any]					=      RoCBertTokenizer
    __lowerCamelCase			: str					=      None
    __lowerCamelCase			: str					=      False
    __lowerCamelCase			: List[Any]					=      True
    __lowerCamelCase			: Any					=      filter_non_english






    def 			_lowerCAmelCase					(       self		):
        super().setUp()

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






    def 			_lowerCAmelCase					(       self		):
        A :       List[Any]          =   self.tokenizer_class(self.vocab_file,		self.word_shape_file,		self.word_pronunciation_file		)

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






    def 			_lowerCAmelCase					(       self		):
        A :       List[Any]          =   RoCBertBasicTokenizer()

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






    def 			_lowerCAmelCase					(       self		):
        A :       List[str]          =   RoCBertBasicTokenizer(do_lower_case=lowerCamelCase__		)

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






    def 			_lowerCAmelCase					(       self		):
        A :       str          =   RoCBertBasicTokenizer(do_lower_case=lowerCamelCase__,		strip_accents=lowerCamelCase__		)

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






    def 			_lowerCAmelCase					(       self		):
        A :       Any          =   RoCBertBasicTokenizer(do_lower_case=lowerCamelCase__,		strip_accents=lowerCamelCase__		)

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






    def 			_lowerCAmelCase					(       self		):
        A :       List[Any]          =   RoCBertBasicTokenizer(do_lower_case=lowerCamelCase__		)

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






    def 			_lowerCAmelCase					(       self		):
        A :       Union[str, Any]          =   RoCBertBasicTokenizer(do_lower_case=lowerCamelCase__		)

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






    def 			_lowerCAmelCase					(       self		):
        A :       Dict          =   RoCBertBasicTokenizer(do_lower_case=lowerCamelCase__,		strip_accents=lowerCamelCase__		)

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






    def 			_lowerCAmelCase					(       self		):
        A :       Any          =   RoCBertBasicTokenizer(do_lower_case=lowerCamelCase__,		strip_accents=lowerCamelCase__		)

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






    def 			_lowerCAmelCase					(       self		):
        A :       Optional[Any]          =   RoCBertBasicTokenizer(do_lower_case=lowerCamelCase__,		never_split=["""[UNK]"""]		)

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






    def 			_lowerCAmelCase					(       self		):
        A :       List[Any]          =   ["""[UNK]""", """[CLS]""", """[SEP]""", """want""", """##want""", """##ed""", """wa""", """un""", """runn""", """##ing"""]

        A :       Union[str, Any]          =   {}
        for i, token in enumerate(lowerCamelCase__		):
            A :       Any          =   i
        A :       Union[str, Any]          =   RoCBertWordpieceTokenizer(vocab=lowerCamelCase__,		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		):
        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		):
        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		):
        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		):
        A :       List[str]          =   self.get_tokenizer()

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

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






    def 			_lowerCAmelCase					(       self		):
        for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
            with self.subTest(f'''{tokenizer.__class__.__name__} ({pretrained_name})'''		):
                A :       Any          =   self.rust_tokenizer_class.from_pretrained(lowerCamelCase__,		**lowerCamelCase__		)

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

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

                A :       str          =   tokenizer_p.encode(lowerCamelCase__,		add_special_tokens=lowerCamelCase__		)
                A :       List[Any]          =   tokenizer_r.encode(lowerCamelCase__,		add_special_tokens=lowerCamelCase__		)

                A :       Union[str, Any]          =   tokenizer_r.convert_ids_to_tokens(lowerCamelCase__		)
                A :       List[str]          =   tokenizer_p.convert_ids_to_tokens(lowerCamelCase__		)

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

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

                A :       List[str]          =   tokenizer_r.encode(lowerCamelCase__,		add_special_tokens=lowerCamelCase__		)
                A :       Tuple          =   tokenizer_p.encode(lowerCamelCase__,		add_special_tokens=lowerCamelCase__		)

                A :       List[Any]          =   tokenizer_r.convert_ids_to_tokens(lowerCamelCase__		)
                A :       List[str]          =   tokenizer_p.convert_ids_to_tokens(lowerCamelCase__		)

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






    @slow
    def 			_lowerCAmelCase					(       self		):
        A :       Dict          =   self.tokenizer_class(self.vocab_file,		self.word_shape_file,		self.word_pronunciation_file		)

        A :       Optional[int]          =   tokenizer.encode("""你好""",		add_special_tokens=lowerCamelCase__		)
        A :       str          =   tokenizer.encode("""你是谁""",		add_special_tokens=lowerCamelCase__		)

        A :       Dict          =   tokenizer.build_inputs_with_special_tokens(lowerCamelCase__		)
        A :       List[str]          =   tokenizer.build_inputs_with_special_tokens(lowerCamelCase__,		lowerCamelCase__		)

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






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

                A :       str          =   tokenizer.encode_plus(lowerCamelCase__,		add_special_tokens=lowerCamelCase__		)

                self.assertEqual(lowerCamelCase__,		lowerCamelCase__		)







def 	__UpperCamelCase	(  _lowerCAmelCase = 100_0000		)       ->  int:



    """simple docstring"""






    A :       str          =   limit + 1
    A :       Tuple          =   [0] * limit
    for first_term in range(1      ,     _lowerCAmelCase		):
        for n in range(_lowerCAmelCase      ,     _lowerCAmelCase      ,     _lowerCAmelCase		):
            A :       Any          =   first_term + n / first_term
            if common_difference % 4:  # d must be divisble by 4
                continue
            else:
                common_difference /= 4
                if (
                    first_term > common_difference
                    and first_term < 4 * common_difference
                ):  # since x,y,z are positive integers
                    frequency[n] += 1  # so z>0 and a>d ,also 4d<a

    A :       Optional[int]          =   sum(1 for x in frequency[1:limit] if x == 10		)

    return count


if __name__ == "__main__":
     print(F"""{solution() = }""")


