

'''simple docstring'''







import os
import unittest

from transformers import BatchEncoding
from transformers.models.bert.tokenization_bert import (
    BasicTokenizer,
    WordpieceTokenizer,
    _is_control,
    _is_punctuation,
    _is_whitespace,
)
from transformers.models.prophetnet.tokenization_prophetnet import VOCAB_FILES_NAMES, ProphetNetTokenizer
from transformers.testing_utils import require_torch, slow

from ...test_tokenization_common import TokenizerTesterMixin


class 					A__      (      _snake_case						,						unittest.TestCase			):
    lowercase						=		ProphetNetTokenizer
    lowercase						=		False



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





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

           A_						=      [
               """[UNK]""",
               """[CLS]""",
               """[SEP]""",
               """[PAD]""",
               """[MASK]""",
               """want""",
               """##want""",
               """##ed""",
               """wa""",
               """un""",
               """runn""",
               """##ing""",
               """,""",
               """low""",
               """lowest""",
           ]
           A_						=      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]       )       )



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





           '''simple docstring'''
           A_						=      """UNwant\u00E9d,running"""
           A_						=      """unwanted, running"""
           return input_text, output_text



    def 					snake_case_			(					self       )						->      Any:





           '''simple docstring'''
           A_						=      self.tokenizer_class(self.vocab_file       )

           A_						=      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 					snake_case_			(					self       )						->      Optional[Any]:





           '''simple docstring'''
           A_						=      BasicTokenizer()

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



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





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





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





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





           '''simple docstring'''
           A_						=      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 					snake_case_			(					self       )						->      List[str]:





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

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



    def 					snake_case_			(					self       )						->      Dict:





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

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



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





           '''simple docstring'''
           A_						=      BasicTokenizer(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_						=      BasicTokenizer(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       )						->      Dict:





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

           A_						=      {}
           for i, token in enumerate(UpperCamelCase__       ):
                  A_						=      i
           A_						=      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"""]       )



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





           '''simple docstring'''
           A_						=      self.tokenizer_class.from_pretrained("""microsoft/prophetnet-large-uncased"""       )

           A_						=      ["""A long paragraph for summarization.""", """Another paragraph for summarization."""]
           A_						=      [1037, 2146, 20423, 2005, 7680, 7849, 3989, 1012, 102]
           A_						=      tokenizer(UpperCamelCase__		,				padding=UpperCamelCase__		,				return_tensors="""pt"""       )
           self.assertIsInstance(UpperCamelCase__		,				UpperCamelCase__       )
           A_						=      list(batch.input_ids.numpy()[0]       )
           self.assertListEqual(UpperCamelCase__		,				UpperCamelCase__       )

           self.assertEqual((2, 9)		,				batch.input_ids.shape       )
           self.assertEqual((2, 9)		,				batch.attention_mask.shape       )



    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       )						->      Dict:





           '''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       )						->      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(""" """       )       )







    @slow
    def 					snake_case_			(					self       )						->      Tuple:





           '''simple docstring'''
           A_						=      self.tokenizer_class.from_pretrained("""microsoft/prophetnet-large-uncased"""       )

           A_						=      tokenizer.encode("""sequence builders"""		,				add_special_tokens=UpperCamelCase__       )
           A_						=      tokenizer.encode("""multi-sequence build"""		,				add_special_tokens=UpperCamelCase__       )

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

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



'''simple docstring'''







import warnings

from ...utils import logging
from .image_processing_beit import BeitImageProcessor


__lowerCamelCase		       =    logging.get_logger(__name__)


class 					A__      (      _snake_case			):



    def __init__(					self		,				*UpperCamelCase__		,				**UpperCamelCase__       )						->      None:





           '''simple docstring'''
           warnings.warn(
               """The class BeitFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please"""
               """ use BeitImageProcessor instead."""		,				UpperCamelCase__		,				)
           super().__init__(*UpperCamelCase__		,				**UpperCamelCase__       )
