"""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__    (   _a					,					unittest.TestCase	):
   snake_case_							=      RoCBertTokenizer
   snake_case_							=      None
   snake_case_							=      False
   snake_case_							=      True
   snake_case_							=      filter_non_english


   def 	snake_case__	(     self  ):
        '''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 	snake_case__	(     self  ):
        '''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 	snake_case__	(     self  ):
        '''simple docstring'''



        lowercase__				 =							RoCBertBasicTokenizer()

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


   def 	snake_case__	(     self  ):
        '''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 	snake_case__	(     self  ):
        '''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 	snake_case__	(     self  ):
        '''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 	snake_case__	(     self  ):
        '''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 	snake_case__	(     self  ):
        '''simple docstring'''



        lowercase__				 =							RoCBertBasicTokenizer(do_lower_case=_A  )

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


   def 	snake_case__	(     self  ):
        '''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 	snake_case__	(     self  ):
        '''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 	snake_case__	(     self  ):
        '''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 	snake_case__	(     self  ):
        '''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 	snake_case__	(     self  ):
        '''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  ):
        '''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  ):
        '''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  ):
        '''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 	snake_case__	(     self  ):
        '''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 	snake_case__	(     self  ):
        '''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 	snake_case__	(     self  ):
        '''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 	snake_case__	(     self  ):
        '''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  )





"""simple docstring"""


import os
import sys

lowerCAmelCase_:					Any     =					os.path.join(os.path.dirname(__file__), "src")
sys.path.append(SRC_DIR)


from transformers import (
    AutoConfig,
    AutoModel,
    AutoModelForCausalLM,
    AutoModelForMaskedLM,
    AutoModelForQuestionAnswering,
    AutoModelForSequenceClassification,
    AutoTokenizer,
    add_start_docstrings,
)


lowerCAmelCase_:					Union[str, Any]     =					[
    "torch",
    "numpy",
    "tokenizers",
    "filelock",
    "requests",
    "tqdm",
    "regex",
    "sentencepiece",
    "sacremoses",
    "importlib_metadata",
    "huggingface_hub",
]







@add_start_docstrings(AutoConfig.__doc__      )
def 					__a   (		*A    ,				**A      ):






     '''simple docstring'''



     return AutoConfig.from_pretrained(*A    ,				**A      )







@add_start_docstrings(AutoTokenizer.__doc__      )
def 					__a   (		*A    ,				**A      ):






     '''simple docstring'''



     return AutoTokenizer.from_pretrained(*A    ,				**A      )







@add_start_docstrings(AutoModel.__doc__      )
def 					__a   (		*A    ,				**A      ):






     '''simple docstring'''



     return AutoModel.from_pretrained(*A    ,				**A      )







@add_start_docstrings(AutoModelForCausalLM.__doc__      )
def 					__a   (		*A    ,				**A      ):






     '''simple docstring'''



     return AutoModelForCausalLM.from_pretrained(*A    ,				**A      )







@add_start_docstrings(AutoModelForMaskedLM.__doc__      )
def 					__a   (		*A    ,				**A      ):






     '''simple docstring'''



     return AutoModelForMaskedLM.from_pretrained(*A    ,				**A      )







@add_start_docstrings(AutoModelForSequenceClassification.__doc__      )
def 					__a   (		*A    ,				**A      ):






     '''simple docstring'''



     return AutoModelForSequenceClassification.from_pretrained(*A    ,				**A      )







@add_start_docstrings(AutoModelForQuestionAnswering.__doc__      )
def 					__a   (		*A    ,				**A      ):






     '''simple docstring'''



     return AutoModelForQuestionAnswering.from_pretrained(*A    ,				**A      )




