



"""simple docstring"""




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     ):
   _lowerCamelCase												=				ElectraTokenizer
   _lowerCamelCase												=				ElectraTokenizerFast
   _lowerCamelCase												=				True
   _lowerCamelCase												=				True
   _lowerCamelCase												=				filter_non_english


   def        lowercase				(							self      :							List[str]			)    ->       int:
         super().setUp()

         lowercase  :      int					=   [
             '[UNK]',
             '[CLS]',
             '[SEP]',
             '[PAD]',
             '[MASK]',
             'want',
             '##want',
             '##ed',
             'wa',
             'un',
             'runn',
             '##ing',
             ',',
             'low',
             'lowest',
         ]
         lowercase  :      Optional[Any]					=   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      :							List[Any],     lowerCAmelCase      :							Any			)    ->       Dict:
         lowercase  :      Union[str, Any]					=   'UNwant\u00E9d,running'
         lowercase  :      Optional[Any]					=   'unwanted, running'
         return input_text, output_text


   def        lowercase				(							self      :							Optional[Any]			)    ->       int:
         lowercase  :      List[str]					=   self.tokenizer_class(self.vocab_file			)

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


   def        lowercase				(							self      :							str			)    ->       Any:
         if not self.test_rust_tokenizer:
               return

         lowercase  :      str					=   self.get_tokenizer()
         lowercase  :      Any					=   self.get_rust_tokenizer()

         lowercase  :      List[Any]					=   'UNwant\u00E9d,running'

         lowercase  :      Union[str, Any]					=   tokenizer.tokenize(_lowerCAmelCase			)
         lowercase  :      Union[str, Any]					=   rust_tokenizer.tokenize(_lowerCAmelCase			)
         self.assertListEqual(_lowerCAmelCase,     _lowerCAmelCase			)

         lowercase  :      List[Any]					=   tokenizer.encode(_lowerCAmelCase,     add_special_tokens=_lowerCAmelCase			)
         lowercase  :      List[Any]					=   rust_tokenizer.encode(_lowerCAmelCase,     add_special_tokens=_lowerCAmelCase			)
         self.assertListEqual(_lowerCAmelCase,     _lowerCAmelCase			)

         lowercase  :      List[Any]					=   self.get_rust_tokenizer()
         lowercase  :      int					=   tokenizer.encode(_lowerCAmelCase			)
         lowercase  :      Union[str, Any]					=   rust_tokenizer.encode(_lowerCAmelCase			)
         self.assertListEqual(_lowerCAmelCase,     _lowerCAmelCase			)

         # With lower casing
         lowercase  :      List[Any]					=   self.get_tokenizer(do_lower_case=_lowerCAmelCase			)
         lowercase  :      Optional[int]					=   self.get_rust_tokenizer(do_lower_case=_lowerCAmelCase			)

         lowercase  :      Optional[int]					=   'UNwant\u00E9d,running'

         lowercase  :      int					=   tokenizer.tokenize(_lowerCAmelCase			)
         lowercase  :      List[str]					=   rust_tokenizer.tokenize(_lowerCAmelCase			)
         self.assertListEqual(_lowerCAmelCase,     _lowerCAmelCase			)

         lowercase  :      Tuple					=   tokenizer.encode(_lowerCAmelCase,     add_special_tokens=_lowerCAmelCase			)
         lowercase  :      List[Any]					=   rust_tokenizer.encode(_lowerCAmelCase,     add_special_tokens=_lowerCAmelCase			)
         self.assertListEqual(_lowerCAmelCase,     _lowerCAmelCase			)

         lowercase  :      Union[str, Any]					=   self.get_rust_tokenizer()
         lowercase  :      List[str]					=   tokenizer.encode(_lowerCAmelCase			)
         lowercase  :      Any					=   rust_tokenizer.encode(_lowerCAmelCase			)
         self.assertListEqual(_lowerCAmelCase,     _lowerCAmelCase			)


   def        lowercase				(							self      :							Dict			)    ->       Dict:
         lowercase  :      str					=   BasicTokenizer()

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


   def        lowercase				(							self      :							Union[str, Any]			)    ->       str:
         lowercase  :      int					=   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        lowercase				(							self      :							Optional[int]			)    ->       Optional[Any]:
         lowercase  :      Dict					=   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        lowercase				(							self      :							Optional[Any]			)    ->       int:
         lowercase  :      int					=   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        lowercase				(							self      :							Dict			)    ->       Tuple:
         lowercase  :      Union[str, Any]					=   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        lowercase				(							self      :							Optional[Any]			)    ->       Optional[Any]:
         lowercase  :      List[Any]					=   BasicTokenizer(do_lower_case=_lowerCAmelCase			)

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


   def        lowercase				(							self      :							Union[str, Any]			)    ->       Union[str, Any]:
         lowercase  :      Optional[int]					=   BasicTokenizer(do_lower_case=_lowerCAmelCase,     strip_accents=_lowerCAmelCase			)

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


   def        lowercase				(							self      :							Tuple			)    ->       List[Any]:
         lowercase  :      Any					=   BasicTokenizer(do_lower_case=_lowerCAmelCase,     strip_accents=_lowerCAmelCase			)

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


   def        lowercase				(							self      :							Optional[Any]			)    ->       str:
         lowercase  :      Union[str, Any]					=   BasicTokenizer(do_lower_case=_lowerCAmelCase,     never_split=['[UNK]']			)

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


   def        lowercase				(							self      :							Optional[Any]			)    ->       Any:
         lowercase  :      List[str]					=   ['[UNK]', '[CLS]', '[SEP]', 'want', '##want', '##ed', 'wa', 'un', 'runn', '##ing']

         lowercase  :      Union[str, Any]					=   {}
         for i, token in enumerate(_lowerCAmelCase			):
               lowercase  :      Optional[int]					=   i
         lowercase  :      str					=   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        lowercase				(							self      :							Optional[Any]			)    ->       List[Any]:
         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]			)    ->       str:
         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]			)    ->       List[Any]:
         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        lowercase				(							self      :							List[Any]			)    ->       Optional[Any]:
         lowercase  :      Optional[Any]					=   self.get_tokenizer()
         lowercase  :      Union[str, Any]					=   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        lowercase				(							self      :							Optional[Any]			)    ->       List[Any]:
         lowercase  :      Dict					=   self.tokenizer_class.from_pretrained('google/electra-base-discriminator'			)

         lowercase  :      int					=   tokenizer.encode('sequence builders',     add_special_tokens=_lowerCAmelCase			)
         lowercase  :      Union[str, Any]					=   tokenizer.encode('multi-sequence build',     add_special_tokens=_lowerCAmelCase			)

         lowercase  :      Optional[int]					=   tokenizer.build_inputs_with_special_tokens(_lowerCAmelCase			)
         lowercase  :      List[Any]					=   tokenizer.build_inputs_with_special_tokens(_lowerCAmelCase,     _lowerCAmelCase			)

         assert encoded_sentence == [101] + text + [102]
         assert encoded_pair == [101] + text + [102] + text_a + [102]


   def        lowercase				(							self      :							Any			)    ->       int:
         for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
               with self.subTest(f'''{tokenizer.__class__.__name__} ({pretrained_name})'''			):
                     lowercase  :      Any					=   self.rust_tokenizer_class.from_pretrained(_lowerCAmelCase,     **_lowerCAmelCase			)

                     lowercase  :      Any					=   f'''A, naïve {tokenizer_r.mask_token} AllenNLP sentence.'''
                     lowercase  :      str					=   tokenizer_r.encode_plus(
                         _lowerCAmelCase,     return_attention_mask=_lowerCAmelCase,     return_token_type_ids=_lowerCAmelCase,     return_offsets_mapping=_lowerCAmelCase,     add_special_tokens=_lowerCAmelCase,     )

                     lowercase  :      Optional[int]					=   tokenizer_r.do_lower_case if hasattr(_lowerCAmelCase,     'do_lower_case'			) else False
                     lowercase  :      Tuple					=   (
                         [
                             ((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']			)






   def        lowercase				(							self      :							int			)    ->       Tuple:
         lowercase  :      Optional[int]					=   ['的', '人', '有']
         lowercase  :      Optional[Any]					=   ''.join(_lowerCAmelCase			)
         for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
               with self.subTest(f'''{tokenizer.__class__.__name__} ({pretrained_name})'''			):
                     lowercase  :      Optional[int]					=   True
                     lowercase  :      str					=   self.tokenizer_class.from_pretrained(_lowerCAmelCase,     **_lowerCAmelCase			)
                     lowercase  :      Union[str, Any]					=   self.rust_tokenizer_class.from_pretrained(_lowerCAmelCase,     **_lowerCAmelCase			)

                     lowercase  :      Optional[Any]					=   tokenizer_p.encode(_lowerCAmelCase,     add_special_tokens=_lowerCAmelCase			)
                     lowercase  :      List[str]					=   tokenizer_r.encode(_lowerCAmelCase,     add_special_tokens=_lowerCAmelCase			)

                     lowercase  :      List[str]					=   tokenizer_r.convert_ids_to_tokens(_lowerCAmelCase			)
                     lowercase  :      Optional[Any]					=   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  :      Tuple					=   False
                     lowercase  :      List[str]					=   self.rust_tokenizer_class.from_pretrained(_lowerCAmelCase,     **_lowerCAmelCase			)
                     lowercase  :      List[str]					=   self.tokenizer_class.from_pretrained(_lowerCAmelCase,     **_lowerCAmelCase			)

                     lowercase  :      Union[str, Any]					=   tokenizer_r.encode(_lowerCAmelCase,     add_special_tokens=_lowerCAmelCase			)
                     lowercase  :      Dict					=   tokenizer_p.encode(_lowerCAmelCase,     add_special_tokens=_lowerCAmelCase			)

                     lowercase  :      Any					=   tokenizer_r.convert_ids_to_tokens(_lowerCAmelCase			)
                     lowercase  :      Dict					=   tokenizer_p.convert_ids_to_tokens(_lowerCAmelCase			)

                     # it is expected that only the first Chinese character is not preceded by "##".
                     lowercase  :      Tuple					=   [
                         f'''##{token}''' if idx != 0 else token for idx, token in enumerate(_lowerCAmelCase			)
                     ]
                     self.assertListEqual(_lowerCAmelCase,     _lowerCAmelCase			)
                     self.assertListEqual(_lowerCAmelCase,     _lowerCAmelCase			)





"""simple docstring"""




from arguments import TokenizerTrainingArguments
from datasets import load_dataset
from tqdm import tqdm

from transformers import AutoTokenizer, HfArgumentParser
from transformers.models.gpta.tokenization_gpta import bytes_to_unicode


def   lowercase__     (			_UpperCAmelCase=10				)     ->			Any:






      '''simple docstring'''


      for _ in tqdm(range(0	,      args.n_examples	,      _UpperCAmelCase				)				):
            yield [next(_UpperCAmelCase				)[args.text_column] for _ in range(_UpperCAmelCase				)]


# Configuration
_UpperCamelCase:				Union[str, Any]    							=  HfArgumentParser(TokenizerTrainingArguments)
_UpperCamelCase:				Dict    							=  parser.parse_args()

# Base tokenizer
_UpperCamelCase:				List[Any]    							=  AutoTokenizer.from_pretrained(args.base_tokenizer)
_UpperCamelCase:				int    							=  list(bytes_to_unicode().values())

# Load dataset
_UpperCamelCase:				Union[str, Any]    							=  load_dataset(args.dataset_name, split='train', streaming=True)
_UpperCamelCase:				Union[str, Any]    							=  iter(dataset)


# Training and saving
_UpperCamelCase:				Union[str, Any]    							=  tokenizer.train_new_from_iterator(
    batch_iterator(), vocab_size=args.vocab_size, initial_alphabet=base_vocab
)





new_tokenizer.save_pretrained(args.tokenizer_name, push_to_hub=args.push_to_hub)
