code: 
  
  
  import torch
  from torch import autograd
  
  
  
  
  
  class    A					(     autograd.Function				):
  
  
  							@staticmethod
  							def     _A (lowerCAmelCase   ,       lowerCAmelCase   ,       lowerCAmelCase   ,       lowerCAmelCase      ):
  									__lowercase=    inputs.numel()
  									__lowercase=    int(0.0_05 * nb_elems      ) + 1
  									if sigmoid:
  											__lowercase=    (torch.sigmoid(lowerCAmelCase      ) > threshold).type(inputs.type()      )
  									else:
  											__lowercase=    (inputs > threshold).type(inputs.type()      )
  									if mask.sum() < nb_min:
  											# We limit the pruning so that at least 0.5% (half a percent) of the weights are remaining
  											__lowercase=    inputs.flatten().kthvalue(max(nb_elems - nb_min   ,       1      )      ).values
  											__lowercase=    (inputs > k_threshold).type(inputs.type()      )
  									return mask
  
  
  
  
  
  
  
  							@staticmethod
  							def     _A (lowerCAmelCase   ,       lowerCAmelCase      ):
  									return gradOutput, None, None
  
  
  
  
  
  class    A					(     autograd.Function				):
  
  
  							@staticmethod
  							def     _A (lowerCAmelCase   ,       lowerCAmelCase   ,       lowerCAmelCase      ):
  									__lowercase=    inputs.clone()
  									__lowercase,							__lowercase=    inputs.flatten().sort(descending=lowerCAmelCase      )
  									__lowercase=    int(threshold * inputs.numel()      )
  
  									# flat_out and mask access the same memory.
  									__lowercase=    mask.flatten()
  									__lowercase=    0
  									__lowercase=    1
  									return mask
  
  
  
  
  
  
  
  							@staticmethod
  							def     _A (lowerCAmelCase   ,       lowerCAmelCase      ):
  									return gradOutput, None
  
  
  
  
  
  class    A					(     A_				):
  
  
  							@staticmethod
  							def     _A (lowerCAmelCase   ,       lowerCAmelCase      ):
  									__lowercase=    inputs.clone()
  									__lowercase,							__lowercase=    inputs.abs().flatten().sort(descending=lowerCAmelCase      )
  									__lowercase=    int(threshold * inputs.numel()      )
  
  									# flat_out and mask access the same memory.
  									__lowercase=    mask.flatten()
  									__lowercase=    0
  									__lowercase=    1
  									return mask
  
  
  
  
  
  
  
style_context: 
  
  
  import os
  import unittest
  
  from transformers import ElectraTokenizerFast
  from transformers.models.electra.tokenization_electra import (
      VOCAB_FILES_NAMES,
      BasicTokenizer,
      ElectraTokenizer,
      WordpieceTokenizer,
      _is_control,
      _is_punctuation,
      _is_whitespace,
  )
  from transformers.testing_utils import require_tokenizers, slow
  
  from ...test_tokenization_common import TokenizerTesterMixin, filter_non_english
  
  
  
  
  
  @require_tokenizers
  class    A					(     A_      ,       unittest.TestCase				):
  							UpperCamelCase_     :							Tuple =ElectraTokenizer
  							UpperCamelCase_     :							Tuple =ElectraTokenizerFast
  							UpperCamelCase_     :							Any =True
  							UpperCamelCase_     :							List[str] =True
  							UpperCamelCase_     :							Any =filter_non_english
  
  
  							def     _A (self      ):
  									super().setUp()
  
  									__lowercase=    [
  									    '[UNK]',
  									    '[CLS]',
  									    '[SEP]',
  									    '[PAD]',
  									    '[MASK]',
  									    'want',
  									    '##want',
  									    '##ed',
  									    'wa',
  									    'un',
  									    'runn',
  									    '##ing',
  									    ',',
  									    'low',
  									    'lowest',
  									]
  									__lowercase=    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   ,       lowerCAmelCase      ):
  									__lowercase=    'UNwant\u00E9d,running'
  									__lowercase=    'unwanted, running'
  									return input_text, output_text
  
  
  							def     _A (self      ):
  									__lowercase=    self.tokenizer_class(self.vocab_file      )
  
  									__lowercase=    tokenizer.tokenize('UNwant\u00E9d,running'      )
  									self.assertListEqual(lowerCAmelCase   ,       ['un', '##want', '##ed', ',', 'runn', '##ing']      )
  									self.assertListEqual(tokenizer.convert_tokens_to_ids(lowerCAmelCase      )   ,       [9, 6, 7, 1_2, 1_0, 1_1]      )
  
  
  							def     _A (self      ):
  									if not self.test_rust_tokenizer:
  											return
  
  									__lowercase=    self.get_tokenizer()
  									__lowercase=    self.get_rust_tokenizer()
  
  									__lowercase=    'UNwant\u00E9d,running'
  
  									__lowercase=    tokenizer.tokenize(lowerCAmelCase      )
  									__lowercase=    rust_tokenizer.tokenize(lowerCAmelCase      )
  									self.assertListEqual(lowerCAmelCase   ,       lowerCAmelCase      )
  
  									__lowercase=    tokenizer.encode(lowerCAmelCase   ,       add_special_tokens=lowerCAmelCase      )
  									__lowercase=    rust_tokenizer.encode(lowerCAmelCase   ,       add_special_tokens=lowerCAmelCase      )
  									self.assertListEqual(lowerCAmelCase   ,       lowerCAmelCase      )
  
  									__lowercase=    self.get_rust_tokenizer()
  									__lowercase=    tokenizer.encode(lowerCAmelCase      )
  									__lowercase=    rust_tokenizer.encode(lowerCAmelCase      )
  									self.assertListEqual(lowerCAmelCase   ,       lowerCAmelCase      )
  
  									# With lower casing
  									__lowercase=    self.get_tokenizer(do_lower_case=lowerCAmelCase      )
  									__lowercase=    self.get_rust_tokenizer(do_lower_case=lowerCAmelCase      )
  
  									__lowercase=    'UNwant\u00E9d,running'
  
  									__lowercase=    tokenizer.tokenize(lowerCAmelCase      )
  									__lowercase=    rust_tokenizer.tokenize(lowerCAmelCase      )
  									self.assertListEqual(lowerCAmelCase   ,       lowerCAmelCase      )
  
  									__lowercase=    tokenizer.encode(lowerCAmelCase   ,       add_special_tokens=lowerCAmelCase      )
  									__lowercase=    rust_tokenizer.encode(lowerCAmelCase   ,       add_special_tokens=lowerCAmelCase      )
  									self.assertListEqual(lowerCAmelCase   ,       lowerCAmelCase      )
  
  									__lowercase=    self.get_rust_tokenizer()
  									__lowercase=    tokenizer.encode(lowerCAmelCase      )
  									__lowercase=    rust_tokenizer.encode(lowerCAmelCase      )
  									self.assertListEqual(lowerCAmelCase   ,       lowerCAmelCase      )
  
  
  							def     _A (self      ):
  									__lowercase=    BasicTokenizer()
  
  									self.assertListEqual(tokenizer.tokenize('ah\u535A\u63A8zz'      )   ,       ['ah', '\u535A', '\u63A8', 'zz']      )
  
  
  							def     _A (self      ):
  									__lowercase=    BasicTokenizer(do_lower_case=lowerCAmelCase      )
  
  									self.assertListEqual(
  									    tokenizer.tokenize(' \tHeLLo!how  \n Are yoU?  '      )   ,       ['hello', '!', 'how', 'are', 'you', '?']      )
  									self.assertListEqual(tokenizer.tokenize('H\u00E9llo'      )   ,       ['hello']      )
  
  
  							def     _A (self      ):
  									__lowercase=    BasicTokenizer(do_lower_case=lowerCAmelCase   ,       strip_accents=lowerCAmelCase      )
  
  									self.assertListEqual(
  									    tokenizer.tokenize(' \tHäLLo!how  \n Are yoU?  '      )   ,       ['hällo', '!', 'how', 'are', 'you', '?']      )
  									self.assertListEqual(tokenizer.tokenize('H\u00E9llo'      )   ,       ['h\u00E9llo']      )
  
  
  							def     _A (self      ):
  									__lowercase=    BasicTokenizer(do_lower_case=lowerCAmelCase   ,       strip_accents=lowerCAmelCase      )
  
  									self.assertListEqual(
  									    tokenizer.tokenize(' \tHäLLo!how  \n Are yoU?  '      )   ,       ['hallo', '!', 'how', 'are', 'you', '?']      )
  									self.assertListEqual(tokenizer.tokenize('H\u00E9llo'      )   ,       ['hello']      )
  
  
  							def     _A (self      ):
  									__lowercase=    BasicTokenizer(do_lower_case=lowerCAmelCase      )
  
  									self.assertListEqual(
  									    tokenizer.tokenize(' \tHäLLo!how  \n Are yoU?  '      )   ,       ['hallo', '!', 'how', 'are', 'you', '?']      )
  									self.assertListEqual(tokenizer.tokenize('H\u00E9llo'      )   ,       ['hello']      )
  
  
  							def     _A (self      ):
  									__lowercase=    BasicTokenizer(do_lower_case=lowerCAmelCase      )
  
  									self.assertListEqual(
  									    tokenizer.tokenize(' \tHeLLo!how  \n Are yoU?  '      )   ,       ['HeLLo', '!', 'how', 'Are', 'yoU', '?']      )
  
  
  							def     _A (self      ):
  									__lowercase=    BasicTokenizer(do_lower_case=lowerCAmelCase   ,       strip_accents=lowerCAmelCase      )
  
  									self.assertListEqual(
  									    tokenizer.tokenize(' \tHäLLo!how  \n Are yoU?  '      )   ,       ['HäLLo', '!', 'how', 'Are', 'yoU', '?']      )
  
  
  							def     _A (self      ):
  									__lowercase=    BasicTokenizer(do_lower_case=lowerCAmelCase   ,       strip_accents=lowerCAmelCase      )
  
  									self.assertListEqual(
  									    tokenizer.tokenize(' \tHäLLo!how  \n Are yoU?  '      )   ,       ['HaLLo', '!', 'how', 'Are', 'yoU', '?']      )
  
  
  							def     _A (self      ):
  									__lowercase=    BasicTokenizer(do_lower_case=lowerCAmelCase   ,       never_split=['[UNK]']      )
  
  									self.assertListEqual(
  									    tokenizer.tokenize(' \tHeLLo!how  \n Are yoU? [UNK]'      )   ,       ['HeLLo', '!', 'how', 'Are', 'yoU', '?', '[UNK]']      )
  
  
  							def     _A (self      ):
  									__lowercase=    ['[UNK]', '[CLS]', '[SEP]', 'want', '##want', '##ed', 'wa', 'un', 'runn', '##ing']
  
  									__lowercase=    {}
  									for i, token in enumerate(lowerCAmelCase      ):
  											__lowercase=    i
  									__lowercase=    WordpieceTokenizer(vocab=lowerCAmelCase   ,       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      ):
  									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      ):
  									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      ):
  									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      ):
  									__lowercase=    self.get_tokenizer()
  									__lowercase=    self.get_rust_tokenizer()
  
  									# Example taken from the issue https://github.com/huggingface/tokenizers/issues/340
  									self.assertListEqual([tokenizer.tokenize(lowerCAmelCase      ) for t in ['Test', '\xad', 'test']]   ,       [['[UNK]'], [], ['[UNK]']]      )
  
  									self.assertListEqual(
  									    [rust_tokenizer.tokenize(lowerCAmelCase      ) for t in ['Test', '\xad', 'test']]   ,       [['[UNK]'], [], ['[UNK]']]      )
  
  
  							@slow
  							def     _A (self      ):
  									__lowercase=    self.tokenizer_class.from_pretrained('google/electra-base-discriminator'      )
  
  									__lowercase=    tokenizer.encode('sequence builders'   ,       add_special_tokens=lowerCAmelCase      )
  									__lowercase=    tokenizer.encode('multi-sequence build'   ,       add_special_tokens=lowerCAmelCase      )
  
  									__lowercase=    tokenizer.build_inputs_with_special_tokens(lowerCAmelCase      )
  									__lowercase=    tokenizer.build_inputs_with_special_tokens(lowerCAmelCase   ,       lowerCAmelCase      )
  
  									assert encoded_sentence == [1_0_1] + text + [1_0_2]
  									assert encoded_pair == [1_0_1] + text + [1_0_2] + text_a + [1_0_2]
  
  
  							def     _A (self      ):
  									for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
  											with self.subTest(f'{tokenizer.__class__.__name__} ({pretrained_name})'      ):
  													__lowercase=    self.rust_tokenizer_class.from_pretrained(lowerCAmelCase   ,       **lowerCAmelCase      )
  
  													__lowercase=    f'A, naïve {tokenizer_r.mask_token} AllenNLP sentence.'
  													__lowercase=    tokenizer_r.encode_plus(
  													    lowerCAmelCase   ,       return_attention_mask=lowerCAmelCase   ,       return_token_type_ids=lowerCAmelCase   ,       return_offsets_mapping=lowerCAmelCase   ,       add_special_tokens=lowerCAmelCase   ,       )
  
  													__lowercase=    tokenizer_r.do_lower_case if hasattr(lowerCAmelCase   ,       'do_lower_case'      ) else False
  													__lowercase=    (
  													    [
  													        ((0, 0), tokenizer_r.cls_token),
  													        ((0, 1), 'A'),
  													        ((1, 2), ','),
  													        ((3, 5), 'na'),
  													        ((5, 6), '##ï'),
  													        ((6, 8), '##ve'),
  													        ((9, 1_5), tokenizer_r.mask_token),
  													        ((1_6, 2_1), 'Allen'),
  													        ((2_1, 2_3), '##NL'),
  													        ((2_3, 2_4), '##P'),
  													        ((2_5, 3_3), 'sentence'),
  													        ((3_3, 3_4), '.'),
  													        ((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, 1_5), tokenizer_r.mask_token),
  													        ((1_6, 2_1), 'allen'),
  													        ((2_1, 2_3), '##nl'),
  													        ((2_3, 2_4), '##p'),
  													        ((2_5, 3_3), 'sentence'),
  													        ((3_3, 3_4), '.'),
  													        ((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']      )
  
  
  
  
  
  
  
  							def     _A (self      ):
  									__lowercase=    ['的', '人', '有']
  									__lowercase=    ''.join(lowerCAmelCase      )
  									for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
  											with self.subTest(f'{tokenizer.__class__.__name__} ({pretrained_name})'      ):
  													__lowercase=    True
  													__lowercase=    self.tokenizer_class.from_pretrained(lowerCAmelCase   ,       **lowerCAmelCase      )
  													__lowercase=    self.rust_tokenizer_class.from_pretrained(lowerCAmelCase   ,       **lowerCAmelCase      )
  
  													__lowercase=    tokenizer_p.encode(lowerCAmelCase   ,       add_special_tokens=lowerCAmelCase      )
  													__lowercase=    tokenizer_r.encode(lowerCAmelCase   ,       add_special_tokens=lowerCAmelCase      )
  
  													__lowercase=    tokenizer_r.convert_ids_to_tokens(lowerCAmelCase      )
  													__lowercase=    tokenizer_p.convert_ids_to_tokens(lowerCAmelCase      )
  
  													# it is expected that each Chinese character is not preceded by "##"
  													self.assertListEqual(lowerCAmelCase   ,       lowerCAmelCase      )
  													self.assertListEqual(lowerCAmelCase   ,       lowerCAmelCase      )
  
  													__lowercase=    False
  													__lowercase=    self.rust_tokenizer_class.from_pretrained(lowerCAmelCase   ,       **lowerCAmelCase      )
  													__lowercase=    self.tokenizer_class.from_pretrained(lowerCAmelCase   ,       **lowerCAmelCase      )
  
  													__lowercase=    tokenizer_r.encode(lowerCAmelCase   ,       add_special_tokens=lowerCAmelCase      )
  													__lowercase=    tokenizer_p.encode(lowerCAmelCase   ,       add_special_tokens=lowerCAmelCase      )
  
  													__lowercase=    tokenizer_r.convert_ids_to_tokens(lowerCAmelCase      )
  													__lowercase=    tokenizer_p.convert_ids_to_tokens(lowerCAmelCase      )
  
  													# it is expected that only the first Chinese character is not preceded by "##".
  													__lowercase=    [
  													    f'##{token}' if idx != 0 else token for idx, token in enumerate(lowerCAmelCase      )
  													]
  													self.assertListEqual(lowerCAmelCase   ,       lowerCAmelCase      )
  													self.assertListEqual(lowerCAmelCase   ,       lowerCAmelCase      )
  
  
  
  
  
  
  