






import os
from collections import deque

import torch
from torch.utils.data import Dataset






class 		lowercase_					(	lowercase   ):






      '''simple docstring'''




      def __init__(      self      :						str ,					__UpperCAmelCase      :						Dict="" ,					__UpperCAmelCase      :						Optional[int]="train"  )    ->Tuple:




       """simple docstring"""


       assert os.path.isdir(__UpperCAmelCase  )

       a		  =      []
       a		  =      os.listdir(__UpperCAmelCase  )
       for story_filename in story_filenames_list:
        if "summary" in story_filename:
         continue
        a		  =      os.path.join(__UpperCAmelCase ,					__UpperCAmelCase  )
        if not os.path.isfile(__UpperCAmelCase  ):
         continue
        self.documents.append(__UpperCAmelCase  )







      def __len__(      self      :						str  )    ->Tuple:




       """simple docstring"""


       return len(self.documents  )







      def __getitem__(      self      :						Dict ,					__UpperCAmelCase      :						str  )    ->Any:




       """simple docstring"""


       a		  =      self.documents[idx]
       a		  =      document_path.split('''/'''  )[-1]
       with open(__UpperCAmelCase ,					encoding='''utf-8'''  ) as source:
        a		  =      source.read()
        a  ,     a		  =      process_story(__UpperCAmelCase  )
       return document_name, story_lines, summary_lines
def 						_a    (      a :Tuple )							->			Union[str, Any]:
 a		  =      list(filter(lambda a : len(a ) != 0	,							[line.strip() for line in raw_story.split('''\n''' )] ) )

 # for some unknown reason some lines miss a period, add it
 a		  =      [_add_missing_period(a ) for line in nonempty_lines]

 # gather article lines
 a		  =      []
 a		  =      deque(a )
 while True:
  try:
   a		  =      lines.popleft()
   if element.startswith('''@highlight''' ):
    break
   story_lines.append(a )
  except IndexError:
   # if "@highlight" is absent from the file we pop
   # all elements until there is None, raising an exception.
   return story_lines, []

    # gather summary lines
 a		  =      list(filter(lambda a : not t.startswith('''@highlight''' )	,							a ) )

 return story_lines, summary_lines
def 						_a    (      a :List[str] )							->			Union[str, Any]:
 a		  =      ['''.''', '''!''', '''?''', '''...''', '''\'''', '''`''', '''"''', '''\u2019''', '''\u2019''', ''')''']
 if line.startswith('''@highlight''' ):
  return line
 if line[-1] in END_TOKENS:
  return line
 return line + "."
def 						_a    (      a :Optional[Any]	,							a :int	,							a :Union[str, Any] )							->			Optional[int]:
 if len(a ) > block_size:
  return sequence[:block_size]
 else:
  sequence.extend([pad_token_id] * (block_size - len(a )) )
  return sequence
def 						_a    (      a :Union[str, Any]	,							a :Optional[int] )							->			Union[str, Any]:
 a		  =      torch.ones_like(a )
 a		  =      sequence == pad_token_id
 a		  =      0
 return mask
def 						_a    (      a :Optional[Any]	,							a :Optional[Any]	,							a :Tuple )							->			List[Any]:
 a		  =      [tokenizer.encode(a ) for line in story_lines]
 a		  =      [token for sentence in story_lines_token_ids for token in sentence]
 a		  =      [tokenizer.encode(a ) for line in summary_lines]
 a		  =      [token for sentence in summary_lines_token_ids for token in sentence]

 return story_token_ids, summary_token_ids

def 						_a    (      a :int	,							a :str )							->			Dict:
 a		  =      []
 for sequence in batch:
  a		  =      -1
  a		  =      []
  for s in sequence:
   if s == separator_token_id:
    sentence_num += 1
   embeddings.append(sentence_num % 2 )
  batch_embeddings.append(a )
 return torch.tensor(a )










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 		lowercase_					(	lowercase ,  unittest.TestCase   ):






      '''simple docstring'''




      __snake_case       =  ProphetNetTokenizer
      __snake_case       =  False







      def       __lowerCAmelCase					(      self      :						Optional[int]  )    ->Optional[Any]:




       """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       __lowerCAmelCase					(      self      :						List[str] ,					__UpperCAmelCase      :						str  )    ->Dict:




       """simple docstring"""


       a		  =      '''UNwant\u00E9d,running'''
       a		  =      '''unwanted, running'''
       return input_text, output_text







      def       __lowerCAmelCase					(      self      :						Optional[int]  )    ->Optional[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       __lowerCAmelCase					(      self      :						int  )    ->Any:




       """simple docstring"""


       a		  =      BasicTokenizer()

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







      def       __lowerCAmelCase					(      self      :						Any  )    ->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       __lowerCAmelCase					(      self      :						Union[str, Any]  )    ->Optional[int]:




       """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       __lowerCAmelCase					(      self      :						Dict  )    ->str:




       """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       __lowerCAmelCase					(      self      :						Any  )    ->Dict:




       """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       __lowerCAmelCase					(      self      :						Tuple  )    ->Optional[Any]:




       """simple docstring"""


       a		  =      BasicTokenizer(do_lower_case=__UpperCAmelCase  )

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







      def       __lowerCAmelCase					(      self      :						Tuple  )    ->Tuple:




       """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       __lowerCAmelCase					(      self      :						int  )    ->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       __lowerCAmelCase					(      self      :						Any  )    ->int:




       """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       __lowerCAmelCase					(      self      :						Union[str, Any]  )    ->int:




       """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       __lowerCAmelCase					(      self      :						int  )    ->int:




       """simple docstring"""


       a		  =      self.tokenizer_class.from_pretrained('''microsoft/prophetnet-large-uncased'''  )

       a		  =      ['''A long paragraph for summarization.''', '''Another paragraph for summarization.''']
       a		  =      [1_037, 2_146, 20_423, 2_005, 7_680, 7_849, 3_989, 1_012, 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       __lowerCAmelCase					(      self      :						Optional[Any]  )    ->List[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       __lowerCAmelCase					(      self      :						Any  )    ->List[str]:




       """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       __lowerCAmelCase					(      self      :						List[Any]  )    ->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(''' '''  )  )







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




       """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]


