

'''simple docstring'''







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    A__ ( _snake_case  ,  unittest.TestCase     ):
    lowercase		   =						RoCBertTokenizer
    lowercase		   =						None
    lowercase		   =						False
    lowercase		   =						True
    lowercase		   =						filter_non_english



    def    snake_case_     (   self    )  -> List[str]:





           '''simple docstring'''
           super().setUp()

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



    def    snake_case_     (   self    )  -> List[str]:





           '''simple docstring'''
           A_		   = self.tokenizer_class(self.vocab_file						,			self.word_shape_file						,			self.word_pronunciation_file    )

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



    def    snake_case_     (   self    )  -> int:





           '''simple docstring'''
           A_		   = RoCBertBasicTokenizer()

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



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





           '''simple docstring'''
           A_		   = RoCBertBasicTokenizer(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    snake_case_     (   self    )  -> Tuple:





           '''simple docstring'''
           A_		   = RoCBertBasicTokenizer(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    snake_case_     (   self    )  -> Dict:





           '''simple docstring'''
           A_		   = RoCBertBasicTokenizer(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    snake_case_     (   self    )  -> Union[str, Any]:





           '''simple docstring'''
           A_		   = RoCBertBasicTokenizer(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    snake_case_     (   self    )  -> Optional[int]:





           '''simple docstring'''
           A_		   = RoCBertBasicTokenizer(do_lower_case=UpperCamelCase__    )

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



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





           '''simple docstring'''
           A_		   = RoCBertBasicTokenizer(do_lower_case=UpperCamelCase__						,			strip_accents=UpperCamelCase__    )

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



    def    snake_case_     (   self    )  -> Dict:





           '''simple docstring'''
           A_		   = RoCBertBasicTokenizer(do_lower_case=UpperCamelCase__						,			strip_accents=UpperCamelCase__    )

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



    def    snake_case_     (   self    )  -> Dict:





           '''simple docstring'''
           A_		   = RoCBertBasicTokenizer(do_lower_case=UpperCamelCase__						,			never_split=["""[UNK]"""]    )

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



    def    snake_case_     (   self    )  -> List[str]:





           '''simple docstring'''
           A_		   = ["""[UNK]""", """[CLS]""", """[SEP]""", """want""", """##want""", """##ed""", """wa""", """un""", """runn""", """##ing"""]

           A_		   = {}
           for i, token in enumerate(UpperCamelCase__    ):
                  A_		   = i
           A_		   = RoCBertWordpieceTokenizer(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    snake_case_     (   self    )  -> str:





           '''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    snake_case_     (   self    )  -> 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    snake_case_     (   self    )  -> List[str]:





           '''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    snake_case_     (   self    )  -> str:





           '''simple docstring'''
           A_		   = self.get_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]"""]]    )

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



    def    snake_case_     (   self    )  -> Dict:





           '''simple docstring'''
           for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
                  with self.subTest(f'''{tokenizer.__class__.__name__} ({pretrained_name})'''    ):
                         A_		   = self.rust_tokenizer_class.from_pretrained(UpperCamelCase__						,			**UpperCamelCase__    )

                         A_		   = f'''A, naïve {tokenizer_r.mask_token} AllenNLP sentence.'''
                         A_		   = tokenizer_r.encode_plus(
                             UpperCamelCase__						,			return_attention_mask=UpperCamelCase__						,			return_token_type_ids=UpperCamelCase__						,			return_offsets_mapping=UpperCamelCase__						,			add_special_tokens=UpperCamelCase__						,			)

                         A_		   = tokenizer_r.do_lower_case if hasattr(UpperCamelCase__						,			"""do_lower_case"""    ) else False
                         A_		   = (
                             [
                                 ((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    snake_case_     (   self    )  -> str:





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

                         A_		   = tokenizer_p.encode(UpperCamelCase__						,			add_special_tokens=UpperCamelCase__    )
                         A_		   = tokenizer_r.encode(UpperCamelCase__						,			add_special_tokens=UpperCamelCase__    )

                         A_		   = tokenizer_r.convert_ids_to_tokens(UpperCamelCase__    )
                         A_		   = 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__    )

                         A_		   = False
                         A_		   = self.rust_tokenizer_class.from_pretrained(UpperCamelCase__						,			**UpperCamelCase__    )
                         A_		   = self.tokenizer_class.from_pretrained(UpperCamelCase__						,			**UpperCamelCase__    )

                         A_		   = tokenizer_r.encode(UpperCamelCase__						,			add_special_tokens=UpperCamelCase__    )
                         A_		   = tokenizer_p.encode(UpperCamelCase__						,			add_special_tokens=UpperCamelCase__    )

                         A_		   = tokenizer_r.convert_ids_to_tokens(UpperCamelCase__    )
                         A_		   = tokenizer_p.convert_ids_to_tokens(UpperCamelCase__    )

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



    @slow
    def    snake_case_     (   self    )  -> List[str]:





           '''simple docstring'''
           A_		   = self.tokenizer_class(self.vocab_file						,			self.word_shape_file						,			self.word_pronunciation_file    )

           A_		   = tokenizer.encode("""你好"""						,			add_special_tokens=UpperCamelCase__    )
           A_		   = tokenizer.encode("""你是谁"""						,			add_special_tokens=UpperCamelCase__    )

           A_		   = tokenizer.build_inputs_with_special_tokens(UpperCamelCase__    )
           A_		   = tokenizer.build_inputs_with_special_tokens(UpperCamelCase__						,			UpperCamelCase__    )

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







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





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

                         A_		   = tokenizer.encode_plus(UpperCamelCase__						,			add_special_tokens=UpperCamelCase__    )

                         self.assertEqual(UpperCamelCase__						,			UpperCamelCase__    )



'''simple docstring'''







from functools import lru_cache
@lru_cache
def  UpperCAmelCase__      ( UpperCAmelCase__			)     ->     int:
       if num < 0:
              raise ValueError("""Number should not be negative."""			)

       return 1 if num in (0, 1) else num * factorial(num - 1			)


if __name__ == "__main__":
      import doctest

      doctest.testmod()
