





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       (      lowerCamelCase__ ,unittest.TestCase  ):




      """simple docstring"""







      UpperCAmelCase__						=      ProphetNetTokenizer
      UpperCAmelCase__						=      False


      def 				__snake_case			(		self):



             """simple docstring"""





             super().setUp()

             _lowerCamelCase							:     List[str]	=		[
                 '''[UNK]''',
                 '''[CLS]''',
                 '''[SEP]''',
                 '''[PAD]''',
                 '''[MASK]''',
                 '''want''',
                 '''##want''',
                 '''##ed''',
                 '''wa''',
                 '''un''',
                 '''runn''',
                 '''##ing''',
                 ''',''',
                 '''low''',
                 '''lowest''',
             ]
             _lowerCamelCase							:     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]))


      def 				__snake_case			(		self      ,							a__):



             """simple docstring"""





             _lowerCamelCase							:     List[Any]	=		'''UNwant\u00E9d,running'''
             _lowerCamelCase							:     int	=		'''unwanted, running'''
             return input_text, output_text


      def 				__snake_case			(		self):



             """simple docstring"""





             _lowerCamelCase							:     Union[str, Any]	=		self.tokenizer_class(self.vocab_file)

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


      def 				__snake_case			(		self):



             """simple docstring"""





             _lowerCamelCase							:     str	=		BasicTokenizer()

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


      def 				__snake_case			(		self):



             """simple docstring"""





             _lowerCamelCase							:     str	=		BasicTokenizer(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"""





             _lowerCamelCase							:     Tuple	=		BasicTokenizer(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"""





             _lowerCamelCase							:     Optional[int]	=		BasicTokenizer(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"""





             _lowerCamelCase							:     Any	=		BasicTokenizer(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"""





             _lowerCamelCase							:     List[str]	=		BasicTokenizer(do_lower_case=a__)

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


      def 				__snake_case			(		self):



             """simple docstring"""





             _lowerCamelCase							:     List[Any]	=		BasicTokenizer(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"""





             _lowerCamelCase							:     Dict	=		BasicTokenizer(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"""





             _lowerCamelCase							:     Optional[Any]	=		BasicTokenizer(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"""





             _lowerCamelCase							:     int	=		['''[UNK]''', '''[CLS]''', '''[SEP]''', '''want''', '''##want''', '''##ed''', '''wa''', '''un''', '''runn''', '''##ing''']

             _lowerCamelCase							:     List[str]	=		{}
             for i, token in enumerate(a__):
                    _lowerCamelCase							:     List[str]	=		i
             _lowerCamelCase							:     List[str]	=		WordpieceTokenizer(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'''])


      @require_torch
      def 				__snake_case			(		self):



             """simple docstring"""





             _lowerCamelCase							:     List[Any]	=		self.tokenizer_class.from_pretrained('''microsoft/prophetnet-large-uncased''')

             _lowerCamelCase							:     Any	=		['''A long paragraph for summarization.''', '''Another paragraph for summarization.''']
             _lowerCamelCase							:     Union[str, Any]	=		[1037, 2146, 2_0423, 2005, 7680, 7849, 3989, 1012, 102]
             _lowerCamelCase							:     Dict	=		tokenizer(a__      ,							padding=a__      ,							return_tensors='''pt''')
             self.assertIsInstance(a__      ,							a__)
             _lowerCamelCase							:     Optional[Any]	=		list(batch.input_ids.numpy()[0])
             self.assertListEqual(a__      ,							a__)

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


      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(''' '''))



      @slow
      def 				__snake_case			(		self):



             """simple docstring"""





             _lowerCamelCase							:     Any	=		self.tokenizer_class.from_pretrained('''microsoft/prophetnet-large-uncased''')

             _lowerCamelCase							:     Dict	=		tokenizer.encode('''sequence builders'''      ,							add_special_tokens=a__)
             _lowerCamelCase							:     Optional[int]	=		tokenizer.encode('''multi-sequence build'''      ,							add_special_tokens=a__)

             _lowerCamelCase							:     Tuple	=		tokenizer.build_inputs_with_special_tokens(a__)
             _lowerCamelCase							:     Union[str, Any]	=		tokenizer.build_inputs_with_special_tokens(a__      ,							a__)

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








import warnings

from .generation import TFGenerationMixin







class 			__A       (      lowerCamelCase__  ):




      """simple docstring"""







      warnings.warn(
          """Importing `TFGenerationMixin` from `src/transformers/generation_tf_utils.py` is deprecated and will """
          """be removed in Transformers v5. Import as `from transformers import TFGenerationMixin` instead.""" ,lowerCamelCase__ ,)

