




'''simple docstring'''







import random


class       _a  :
       def __init__(     self						:     Dict       ,    lowercase						:     list[list[float]]       ,    lowercase						:     list[int]       ,    lowercase						:     float = 0.01       ,    lowercase						:     int = 1_000       ,    lowercase						:     float = -1       ,    ):



           '''simple docstring'''

           UpperCAmelCase      	=		sample
           if len(self.sample    ) == 0:
               raise ValueError('''Sample data can not be empty'''    )
           UpperCAmelCase      	=		target
           if len(self.target    ) == 0:
               raise ValueError('''Target data can not be empty'''    )
           if len(self.sample    ) != len(self.target    ):
               raise ValueError('''Sample data and Target data do not have matching lengths'''    )
           UpperCAmelCase      	=		learning_rate
           UpperCAmelCase      	=		epoch_number
           UpperCAmelCase      	=		bias
           UpperCAmelCase      	=		len(lowercase    )
           UpperCAmelCase      	=		len(sample[0]    )  # number of columns in dataset
           UpperCAmelCase      	=		[]
       def    A				(     self						:     int    ):



           '''simple docstring'''

           for sample in self.sample:
               sample.insert(0       ,    self.bias    )

           for _ in range(self.col_sample    ):
               self.weight.append(random.random()    )

           self.weight.insert(0       ,    self.bias    )

           UpperCAmelCase      	=		0

           while True:
               UpperCAmelCase      	=		False
               for i in range(self.number_sample    ):
                   UpperCAmelCase      	=		0
                   for j in range(self.col_sample + 1    ):
                       UpperCAmelCase      	=		u + self.weight[j] * self.sample[i][j]
                   UpperCAmelCase      	=		self.sign(lowercase    )
                   if y != self.target[i]:
                       for j in range(self.col_sample + 1    ):
                           UpperCAmelCase      	=		(
                               self.weight[j]
                               + self.learning_rate
                               * (self.target[i] - y)
                               * self.sample[i][j]
                           )
                       UpperCAmelCase      	=		True
            # print('Epoch: \n',epoch_count)
               UpperCAmelCase      	=		epoch_count + 1
               # if you want control the epoch or just by error
               if not has_misclassified:
                   print(('''\nEpoch:\n''', epoch_count)    )
                   print('''------------------------\n'''    )
                   # if epoch_count > self.epoch_number or not error:
                   break
       def    A				(     self						:     Optional[int]       ,    lowercase						:     list[float]    ):



           '''simple docstring'''

           if len(self.sample    ) == 0:
               raise ValueError('''Sample data can not be empty'''    )
           sample.insert(0       ,    self.bias    )
           UpperCAmelCase      	=		0
           for i in range(self.col_sample + 1    ):
               UpperCAmelCase      	=		u + self.weight[i] * sample[i]

           UpperCAmelCase      	=		self.sign(lowercase    )

           if y == -1:
               print(('''Sample: ''', sample)    )
               print('''classification: P1'''    )
           else:
               print(('''Sample: ''', sample)    )
               print('''classification: P2'''    )







       def    A				(     self						:     Optional[Any]       ,    lowercase						:     float    ):



           '''simple docstring'''

           return 1 if u >= 0 else -1






A			   =[
    [-0.6_508, 0.1_097, 4.0_009],
    [-1.4_492, 0.8_896, 4.4_005],
    [2.0_850, 0.6_876, 12.0_710],
    [0.2_626, 1.1_476, 7.7_985],
    [0.6_418, 1.0_234, 7.0_427],
    [0.2_569, 0.6_730, 8.3_265],
    [1.1_155, 0.6_043, 7.4_446],
    [0.0_914, 0.3_399, 7.0_677],
    [0.0_121, 0.5_256, 4.6_316],
    [-0.0_429, 0.4_660, 5.4_323],
    [0.4_340, 0.6_870, 8.2_287],
    [0.2_735, 1.0_287, 7.1_934],
    [0.4_839, 0.4_851, 7.4_850],
    [0.4_089, -0.1_267, 5.5_019],
    [1.4_391, 0.1_614, 8.5_843],
    [-0.9_115, -0.1_973, 2.1_962],
    [0.3_654, 1.0_475, 7.4_858],
    [0.2_144, 0.7_515, 7.1_699],
    [0.2_013, 1.0_014, 6.5_489],
    [0.6_483, 0.2_183, 5.8_991],
    [-0.1_147, 0.2_242, 7.2_435],
    [-0.7_970, 0.8_795, 3.8_762],
    [-1.0_625, 0.6_366, 2.4_707],
    [0.5_307, 0.1_285, 5.6_883],
    [-1.2_200, 0.7_777, 1.7_252],
    [0.3_957, 0.1_076, 5.6_623],
    [-0.1_013, 0.5_989, 7.1_812],
    [2.4_482, 0.9_455, 11.2_095],
    [2.0_149, 0.6_192, 10.9_263],
    [0.2_012, 0.2_611, 5.4_631],
]

A			   =[
    -1,
    -1,
    -1,
    1,
    1,
    -1,
    1,
    -1,
    1,
    1,
    -1,
    1,
    -1,
    -1,
    -1,
    -1,
    1,
    1,
    1,
    1,
    -1,
    1,
    1,
    1,
    1,
    -1,
    -1,
    1,
    -1,
    1,
]


if __name__ == "__main__":
   import doctest

   doctest.testmod()

   A			   =Perceptron(
       sample=samples, target=target, learning_rate=0.01, epoch_number=10_00, bias=-1
   )
   network.training()
   print('Finished training perceptron')
   print('Enter values to predict or q to exit')
   while True:
      A			   =[]
      for i in range(len(samples[0])):
         A			   =input('value: ').strip()
         if user_input == "q":
            break
         A			   =float(user_input)
         sample.insert(i, observation)
      network.sort(sample)











'''simple docstring'''







import os
import unittest

from transformers import RealmTokenizerFast
from transformers.models.bert.tokenization_bert import (
    VOCAB_FILES_NAMES,
    BasicTokenizer,
    WordpieceTokenizer,
    _is_control,
    _is_punctuation,
    _is_whitespace,
)
from transformers.models.realm.tokenization_realm import RealmTokenizer
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin, filter_non_english


@require_tokenizers
class       _a  (     __a							,							unittest.TestCase			):
       __a    :					Dict           = RealmTokenizer
       __a    :					Dict           = RealmTokenizerFast
       __a    :					Union[str, Any]           = True
       __a    :					Optional[int]           = True
       __a    :					int           = filter_non_english
       def    A				(     self						:     Optional[Any]    ):



           '''simple docstring'''

           super().setUp()

           UpperCAmelCase      	=		[
               '''[UNK]''',
               '''[CLS]''',
               '''[SEP]''',
               '''[PAD]''',
               '''[MASK]''',
               '''want''',
               '''##want''',
               '''##ed''',
               '''wa''',
               '''un''',
               '''runn''',
               '''##ing''',
               ''',''',
               '''low''',
               '''lowest''',
           ]
           UpperCAmelCase      	=		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    A				(     self						:     int       ,    lowercase						:     int    ):



           '''simple docstring'''

           UpperCAmelCase      	=		'''UNwant\u00E9d,running'''
           UpperCAmelCase      	=		'''unwanted, running'''
           return input_text, output_text
       def    A				(     self						:     Optional[Any]    ):



           '''simple docstring'''

           UpperCAmelCase      	=		self.tokenizer_class(self.vocab_file    )

           UpperCAmelCase      	=		tokenizer.tokenize('''UNwant\u00E9d,running'''    )
           self.assertListEqual(lowercase       ,    ['''un''', '''##want''', '''##ed''', ''',''', '''runn''', '''##ing''']    )
           self.assertListEqual(tokenizer.convert_tokens_to_ids(lowercase    )       ,    [9, 6, 7, 12, 10, 11]    )
       def    A				(     self						:     Union[str, Any]    ):



           '''simple docstring'''

           if not self.test_rust_tokenizer:
               return

           UpperCAmelCase      	=		self.get_tokenizer()
           UpperCAmelCase      	=		self.get_rust_tokenizer()

           UpperCAmelCase      	=		'''UNwant\u00E9d,running'''

           UpperCAmelCase      	=		tokenizer.tokenize(lowercase    )
           UpperCAmelCase      	=		rust_tokenizer.tokenize(lowercase    )
           self.assertListEqual(lowercase       ,    lowercase    )

           UpperCAmelCase      	=		tokenizer.encode(lowercase       ,    add_special_tokens=lowercase    )
           UpperCAmelCase      	=		rust_tokenizer.encode(lowercase       ,    add_special_tokens=lowercase    )
           self.assertListEqual(lowercase       ,    lowercase    )

           UpperCAmelCase      	=		self.get_rust_tokenizer()
           UpperCAmelCase      	=		tokenizer.encode(lowercase    )
           UpperCAmelCase      	=		rust_tokenizer.encode(lowercase    )
           self.assertListEqual(lowercase       ,    lowercase    )

           # With lower casing
           UpperCAmelCase      	=		self.get_tokenizer(do_lower_case=lowercase    )
           UpperCAmelCase      	=		self.get_rust_tokenizer(do_lower_case=lowercase    )

           UpperCAmelCase      	=		'''UNwant\u00E9d,running'''

           UpperCAmelCase      	=		tokenizer.tokenize(lowercase    )
           UpperCAmelCase      	=		rust_tokenizer.tokenize(lowercase    )
           self.assertListEqual(lowercase       ,    lowercase    )

           UpperCAmelCase      	=		tokenizer.encode(lowercase       ,    add_special_tokens=lowercase    )
           UpperCAmelCase      	=		rust_tokenizer.encode(lowercase       ,    add_special_tokens=lowercase    )
           self.assertListEqual(lowercase       ,    lowercase    )

           UpperCAmelCase      	=		self.get_rust_tokenizer()
           UpperCAmelCase      	=		tokenizer.encode(lowercase    )
           UpperCAmelCase      	=		rust_tokenizer.encode(lowercase    )
           self.assertListEqual(lowercase       ,    lowercase    )
       def    A				(     self						:     Optional[Any]    ):



           '''simple docstring'''

           UpperCAmelCase      	=		BasicTokenizer()

           self.assertListEqual(tokenizer.tokenize('''ah\u535A\u63A8zz'''    )       ,    ['''ah''', '''\u535A''', '''\u63A8''', '''zz''']    )
       def    A				(     self						:     Union[str, Any]    ):



           '''simple docstring'''

           UpperCAmelCase      	=		BasicTokenizer(do_lower_case=lowercase    )

           self.assertListEqual(
               tokenizer.tokenize(''' \tHeLLo!how  \n Are yoU?  '''    )       ,    ['''hello''', '''!''', '''how''', '''are''', '''you''', '''?''']    )
           self.assertListEqual(tokenizer.tokenize('''H\u00E9llo'''    )       ,    ['''hello''']    )
       def    A				(     self						:     Tuple    ):



           '''simple docstring'''

           UpperCAmelCase      	=		BasicTokenizer(do_lower_case=lowercase       ,    strip_accents=lowercase    )

           self.assertListEqual(
               tokenizer.tokenize(''' \tHäLLo!how  \n Are yoU?  '''    )       ,    ['''hällo''', '''!''', '''how''', '''are''', '''you''', '''?''']    )
           self.assertListEqual(tokenizer.tokenize('''H\u00E9llo'''    )       ,    ['''h\u00E9llo''']    )
       def    A				(     self						:     Optional[int]    ):



           '''simple docstring'''

           UpperCAmelCase      	=		BasicTokenizer(do_lower_case=lowercase       ,    strip_accents=lowercase    )

           self.assertListEqual(
               tokenizer.tokenize(''' \tHäLLo!how  \n Are yoU?  '''    )       ,    ['''hallo''', '''!''', '''how''', '''are''', '''you''', '''?''']    )
           self.assertListEqual(tokenizer.tokenize('''H\u00E9llo'''    )       ,    ['''hello''']    )
       def    A				(     self						:     Optional[int]    ):



           '''simple docstring'''

           UpperCAmelCase      	=		BasicTokenizer(do_lower_case=lowercase    )

           self.assertListEqual(
               tokenizer.tokenize(''' \tHäLLo!how  \n Are yoU?  '''    )       ,    ['''hallo''', '''!''', '''how''', '''are''', '''you''', '''?''']    )
           self.assertListEqual(tokenizer.tokenize('''H\u00E9llo'''    )       ,    ['''hello''']    )
       def    A				(     self						:     Tuple    ):



           '''simple docstring'''

           UpperCAmelCase      	=		BasicTokenizer(do_lower_case=lowercase    )

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



           '''simple docstring'''

           UpperCAmelCase      	=		BasicTokenizer(do_lower_case=lowercase       ,    strip_accents=lowercase    )

           self.assertListEqual(
               tokenizer.tokenize(''' \tHäLLo!how  \n Are yoU?  '''    )       ,    ['''HäLLo''', '''!''', '''how''', '''Are''', '''yoU''', '''?''']    )
       def    A				(     self						:     List[Any]    ):



           '''simple docstring'''

           UpperCAmelCase      	=		BasicTokenizer(do_lower_case=lowercase       ,    strip_accents=lowercase    )

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



           '''simple docstring'''

           UpperCAmelCase      	=		BasicTokenizer(do_lower_case=lowercase       ,    never_split=['''[UNK]''']    )

           self.assertListEqual(
               tokenizer.tokenize(''' \tHeLLo!how  \n Are yoU? [UNK]'''    )       ,    ['''HeLLo''', '''!''', '''how''', '''Are''', '''yoU''', '''?''', '''[UNK]''']    )
       def    A				(     self						:     Optional[int]    ):



           '''simple docstring'''

           UpperCAmelCase      	=		['''[UNK]''', '''[CLS]''', '''[SEP]''', '''want''', '''##want''', '''##ed''', '''wa''', '''un''', '''runn''', '''##ing''']

           UpperCAmelCase      	=		{}
           for i, token in enumerate(lowercase    ):
               UpperCAmelCase      	=		i
           UpperCAmelCase      	=		WordpieceTokenizer(vocab=lowercase       ,    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    A				(     self						:     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    A				(     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    A				(     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(''' '''    )    )
       def    A				(     self						:     Union[str, Any]    ):



           '''simple docstring'''

           UpperCAmelCase      	=		self.get_tokenizer()

           # Example taken from the issue https://github.com/huggingface/tokenizers/issues/340
           self.assertListEqual([tokenizer.tokenize(lowercase    ) for t in ['''Test''', '''\xad''', '''test''']]       ,    [['''[UNK]'''], [], ['''[UNK]''']]    )

           if self.test_rust_tokenizer:
               UpperCAmelCase      	=		self.get_rust_tokenizer()
               self.assertListEqual(
                   [rust_tokenizer.tokenize(lowercase    ) for t in ['''Test''', '''\xad''', '''test''']]       ,    [['''[UNK]'''], [], ['''[UNK]''']]    )
       @slow
       def    A				(     self						:     int    ):



           '''simple docstring'''

           UpperCAmelCase      	=		self.tokenizer_class.from_pretrained('''bert-base-uncased'''    )

           UpperCAmelCase      	=		tokenizer.encode('''sequence builders'''       ,    add_special_tokens=lowercase    )
           UpperCAmelCase      	=		tokenizer.encode('''multi-sequence build'''       ,    add_special_tokens=lowercase    )

           UpperCAmelCase      	=		tokenizer.build_inputs_with_special_tokens(lowercase    )
           UpperCAmelCase      	=		tokenizer.build_inputs_with_special_tokens(lowercase       ,    lowercase    )

           assert encoded_sentence == [101] + text + [102]
           assert encoded_pair == [101] + text + [102] + text_a + [102]
       def    A				(     self						:     int    ):



           '''simple docstring'''

           for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
               with self.subTest(f"{tokenizer.__class__.__name__} ({pretrained_name})"    ):
                   UpperCAmelCase      	=		self.rust_tokenizer_class.from_pretrained(lowercase       ,    **lowercase    )

                   UpperCAmelCase      	=		f"A, naïve {tokenizer_r.mask_token} AllenNLP sentence."
                   UpperCAmelCase      	=		tokenizer_r.encode_plus(
                       lowercase       ,    return_attention_mask=lowercase       ,    return_token_type_ids=lowercase       ,    return_offsets_mapping=lowercase       ,    add_special_tokens=lowercase       ,    )

                   UpperCAmelCase      	=		tokenizer_r.do_lower_case if hasattr(lowercase       ,    '''do_lower_case'''    ) else False
                   UpperCAmelCase      	=		(
                       [
                           ((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''']    )







       @slow
       def    A				(     self						:     Any    ):



           '''simple docstring'''

           for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
               with self.subTest(f"{tokenizer.__class__.__name__} ({pretrained_name})"    ):
                   UpperCAmelCase      	=		self.rust_tokenizer_class.from_pretrained(lowercase       ,    **lowercase    )
                   UpperCAmelCase      	=		self.tokenizer_class.from_pretrained(lowercase       ,    **lowercase    )
                   UpperCAmelCase      	=		[['''Hello world!''', '''Nice to meet you!'''], ['''The cute cat.''', '''The adorable dog.''']]

                   UpperCAmelCase      	=		tokenizer_r.batch_encode_candidates(lowercase       ,    max_length=10       ,    return_tensors='''np'''    )
                   UpperCAmelCase      	=		tokenizer_p.batch_encode_candidates(lowercase       ,    max_length=10       ,    return_tensors='''np'''    )

                   UpperCAmelCase      	=		(2, 2, 10)

                   self.assertEqual(encoded_sentence_r['''input_ids'''].shape       ,    lowercase    )
                   self.assertEqual(encoded_sentence_r['''attention_mask'''].shape       ,    lowercase    )
                   self.assertEqual(encoded_sentence_r['''token_type_ids'''].shape       ,    lowercase    )

                   self.assertEqual(encoded_sentence_p['''input_ids'''].shape       ,    lowercase    )
                   self.assertEqual(encoded_sentence_p['''attention_mask'''].shape       ,    lowercase    )
                   self.assertEqual(encoded_sentence_p['''token_type_ids'''].shape       ,    lowercase    )




