
"""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 			__magic_name__       (       SCREAMING_SNAKE_CASE__   ,					unittest.TestCase ):
       UpperCamelCase_   =		ProphetNetTokenizer
       UpperCamelCase_   =		False
       def 							lowercase_							(     self       )     ->	List[Any]:





         """simple docstring"""




         super().setUp()

         _lowercase:			Dict       =     [
             '''[UNK]''',
             '''[CLS]''',
             '''[SEP]''',
             '''[PAD]''',
             '''[MASK]''',
             '''want''',
             '''##want''',
             '''##ed''',
             '''wa''',
             '''un''',
             '''runn''',
             '''##ing''',
             ''',''',
             '''low''',
             '''lowest''',
         ]
         _lowercase:			Dict       =     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 							lowercase_							(     self ,				A_       )     ->	Dict:





         """simple docstring"""




         _lowercase:			Optional[int]       =     '''UNwant\u00E9d,running'''
         _lowercase:			int       =     '''unwanted, running'''
         return input_text, output_text
       def 							lowercase_							(     self       )     ->	List[str]:





         """simple docstring"""




         _lowercase:			Dict       =     self.tokenizer_class(self.vocab_file       )

         _lowercase:			List[Any]       =     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 							lowercase_							(     self       )     ->	Optional[int]:





         """simple docstring"""




         _lowercase:			List[Any]       =     BasicTokenizer()

         self.assertListEqual(tokenizer.tokenize('''ah\u535A\u63A8zz'''       ) ,				['''ah''', '''\u535A''', '''\u63A8''', '''zz''']       )
       def 							lowercase_							(     self       )     ->	Tuple:





         """simple docstring"""




         _lowercase:			Optional[int]       =     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 							lowercase_							(     self       )     ->	Tuple:





         """simple docstring"""




         _lowercase:			int       =     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 							lowercase_							(     self       )     ->	Tuple:





         """simple docstring"""




         _lowercase:			Union[str, Any]       =     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 							lowercase_							(     self       )     ->	Union[str, Any]:





         """simple docstring"""




         _lowercase:			Dict       =     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 							lowercase_							(     self       )     ->	List[str]:





         """simple docstring"""




         _lowercase:			str       =     BasicTokenizer(do_lower_case=A_       )

         self.assertListEqual(
             tokenizer.tokenize(''' \tHeLLo!how  \n Are yoU?  '''       ) ,				['''HeLLo''', '''!''', '''how''', '''Are''', '''yoU''', '''?''']       )
       def 							lowercase_							(     self       )     ->	Any:





         """simple docstring"""




         _lowercase:			List[Any]       =     BasicTokenizer(do_lower_case=A_ ,				strip_accents=A_       )

         self.assertListEqual(
             tokenizer.tokenize(''' \tHäLLo!how  \n Are yoU?  '''       ) ,				['''HäLLo''', '''!''', '''how''', '''Are''', '''yoU''', '''?''']       )
       def 							lowercase_							(     self       )     ->	Optional[Any]:





         """simple docstring"""




         _lowercase:			Optional[Any]       =     BasicTokenizer(do_lower_case=A_ ,				strip_accents=A_       )

         self.assertListEqual(
             tokenizer.tokenize(''' \tHäLLo!how  \n Are yoU?  '''       ) ,				['''HaLLo''', '''!''', '''how''', '''Are''', '''yoU''', '''?''']       )
       def 							lowercase_							(     self       )     ->	str:





         """simple docstring"""




         _lowercase:			List[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 							lowercase_							(     self       )     ->	int:





         """simple docstring"""




         _lowercase:			Union[str, Any]       =     ['''[UNK]''', '''[CLS]''', '''[SEP]''', '''want''', '''##want''', '''##ed''', '''wa''', '''un''', '''runn''', '''##ing''']

         _lowercase:			Union[str, Any]       =     {}
         for i, token in enumerate(A_       ):
           _lowercase:			Union[str, Any]       =     i
         _lowercase:			Optional[int]       =     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 							lowercase_							(     self       )     ->	Optional[int]:





         """simple docstring"""




         _lowercase:			Dict       =     self.tokenizer_class.from_pretrained('''microsoft/prophetnet-large-uncased'''       )

         _lowercase:			Tuple       =     ['''A long paragraph for summarization.''', '''Another paragraph for summarization.''']
         _lowercase:			List[Any]       =     [1037, 2146, 2_0423, 2005, 7680, 7849, 3989, 1012, 102]
         _lowercase:			List[str]       =     tokenizer(A_ ,				padding=A_ ,				return_tensors='''pt'''       )
         self.assertIsInstance(A_ ,				A_       )
         _lowercase:			int       =     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 							lowercase_							(     self       )     ->	Dict:





         """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 							lowercase_							(     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 							lowercase_							(     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(''' '''       )       )



       @slow
       def 							lowercase_							(     self       )     ->	Optional[Any]:





         """simple docstring"""




         _lowercase:			Tuple       =     self.tokenizer_class.from_pretrained('''microsoft/prophetnet-large-uncased'''       )

         _lowercase:			Optional[Any]       =     tokenizer.encode('''sequence builders''' ,				add_special_tokens=A_       )
         _lowercase:			Tuple       =     tokenizer.encode('''multi-sequence build''' ,				add_special_tokens=A_       )

         _lowercase:			int       =     tokenizer.build_inputs_with_special_tokens(A_       )
         _lowercase:			Dict       =     tokenizer.build_inputs_with_special_tokens(A_ ,				A_       )

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


"""simple docstring"""




import pandas as pd
from matplotlib import pyplot as plt
from sklearn.linear_model import LinearRegression

# Splitting the dataset into the Training set and Test set
from sklearn.model_selection import train_test_split

# Fitting Polynomial Regression to the dataset
from sklearn.preprocessing import PolynomialFeatures

# Importing the dataset
A__   :					Tuple							=   pd.read_csv(
    'https://s3.us-west-2.amazonaws.com/public.gamelab.fun/dataset/'
    'position_salaries.csv'
)
A__   :					Optional[int]							=   dataset.iloc[:, 1:2].values
A__   :					Union[str, Any]							=   dataset.iloc[:, 2].values


A__							, A__							, A__							, A__   :					Dict							=   train_test_split(X, y, test_size=0.2, random_state=0)


A__   :					Union[str, Any]							=   PolynomialFeatures(degree=4)
A__   :					List[Any]							=   poly_reg.fit_transform(X)
A__   :					Dict							=   LinearRegression()
pol_reg.fit(X_poly, y)




def  _lowerCAmelCase		(		):






  """simple docstring"""



  plt.scatter(_UpperCamelCase ,				_UpperCamelCase ,				color='''red'''						)
  plt.plot(_UpperCamelCase ,				pol_reg.predict(poly_reg.fit_transform(_UpperCamelCase						)						) ,				color='''blue'''						)
  plt.title('''Truth or Bluff (Linear Regression)'''						)
  plt.xlabel('''Position level'''						)
  plt.ylabel('''Salary'''						)
  plt.show()


if __name__ == "__main__":
  viz_polymonial()

  # Predicting a new result with Polymonial Regression
  pol_reg.predict(poly_reg.fit_transform([[5.5]]))
  # output should be 132148.43750003
