


'''simple docstring'''







import os
import unittest

from transformers import MobileBertTokenizer, MobileBertTokenizerFast
from transformers.models.bert.tokenization_bert import (
    VOCAB_FILES_NAMES,
    BasicTokenizer,
    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 	UpperCamelCase__					( SCREAMING_SNAKE_CASE_    ,					unittest.TestCase	):



     """simple docstring"""






     __magic_name__    			=    MobileBertTokenizer
     __magic_name__    			=    MobileBertTokenizerFast
     __magic_name__    			=    True
     __magic_name__    			=    True
     __magic_name__    			=    filter_non_english
     __magic_name__    			=    "google/mobilebert-uncased"







     def a	( self   ):

            '''simple docstring'''

            super().setUp()

            _lowerCAmelCase    :							Union[str, Any]   			=       [
                '[UNK]',
                '[CLS]',
                '[SEP]',
                '[PAD]',
                '[MASK]',
                'want',
                '##want',
                '##ed',
                'wa',
                'un',
                'runn',
                '##ing',
                ',',
                'low',
                'lowest',
            ]
            _lowerCAmelCase    :							int   			=       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]   )   )

            _lowerCAmelCase    :							int   			=       [
                (tokenizer_def[0], self.pre_trained_model_path, tokenizer_def[2])  # else the 'google/' prefix is stripped
                for tokenizer_def in self.tokenizers_list
            ]







     def a	( self      ,	snake_case__   ):

            '''simple docstring'''

            _lowerCAmelCase    :							List[Any]   			=       'UNwant\u00E9d,running'
            _lowerCAmelCase    :							Dict   			=       'unwanted, running'
            return input_text, output_text







     def a	( self   ):

            '''simple docstring'''

            _lowerCAmelCase    :							Optional[Any]   			=       self.tokenizer_class(self.vocab_file   )

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







     def a	( self   ):

            '''simple docstring'''

            if not self.test_rust_tokenizer:
                   return

            _lowerCAmelCase    :							Dict   			=       self.get_tokenizer()
            _lowerCAmelCase    :							List[Any]   			=       self.get_rust_tokenizer()

            _lowerCAmelCase    :							Tuple   			=       'UNwant\u00E9d,running'

            _lowerCAmelCase    :							Optional[int]   			=       tokenizer.tokenize(snake_case__   )
            _lowerCAmelCase    :							Dict   			=       rust_tokenizer.tokenize(snake_case__   )
            self.assertListEqual(snake_case__      ,	snake_case__   )

            _lowerCAmelCase    :							int   			=       tokenizer.encode(snake_case__      ,	add_special_tokens=snake_case__   )
            _lowerCAmelCase    :							str   			=       rust_tokenizer.encode(snake_case__      ,	add_special_tokens=snake_case__   )
            self.assertListEqual(snake_case__      ,	snake_case__   )

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

            # With lower casing
            _lowerCAmelCase    :							Union[str, Any]   			=       self.get_tokenizer(do_lower_case=snake_case__   )
            _lowerCAmelCase    :							Tuple   			=       self.get_rust_tokenizer(do_lower_case=snake_case__   )

            _lowerCAmelCase    :							Optional[Any]   			=       'UNwant\u00E9d,running'

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

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

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







     def a	( self   ):

            '''simple docstring'''

            _lowerCAmelCase    :							List[str]   			=       BasicTokenizer()

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







     def a	( self   ):

            '''simple docstring'''

            _lowerCAmelCase    :							Optional[Any]   			=       BasicTokenizer(do_lower_case=snake_case__   )

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







     def a	( self   ):

            '''simple docstring'''

            _lowerCAmelCase    :							List[str]   			=       BasicTokenizer(do_lower_case=snake_case__      ,	strip_accents=snake_case__   )

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







     def a	( self   ):

            '''simple docstring'''

            _lowerCAmelCase    :							Optional[int]   			=       BasicTokenizer(do_lower_case=snake_case__      ,	strip_accents=snake_case__   )

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







     def a	( self   ):

            '''simple docstring'''

            _lowerCAmelCase    :							List[Any]   			=       BasicTokenizer(do_lower_case=snake_case__   )

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







     def a	( self   ):

            '''simple docstring'''

            _lowerCAmelCase    :							Optional[Any]   			=       BasicTokenizer(do_lower_case=snake_case__   )

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







     def a	( self   ):

            '''simple docstring'''

            _lowerCAmelCase    :							Any   			=       BasicTokenizer(do_lower_case=snake_case__      ,	strip_accents=snake_case__   )

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







     def a	( self   ):

            '''simple docstring'''

            _lowerCAmelCase    :							List[str]   			=       BasicTokenizer(do_lower_case=snake_case__      ,	strip_accents=snake_case__   )

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







     def a	( self   ):

            '''simple docstring'''

            _lowerCAmelCase    :							int   			=       BasicTokenizer(do_lower_case=snake_case__      ,	never_split=['[UNK]']   )

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







     def a	( self   ):

            '''simple docstring'''

            _lowerCAmelCase    :							List[Any]   			=       ['[UNK]', '[CLS]', '[SEP]', 'want', '##want', '##ed', 'wa', 'un', 'runn', '##ing']

            _lowerCAmelCase    :							Optional[Any]   			=       {}
            for i, token in enumerate(snake_case__   ):
                   _lowerCAmelCase    :							int   			=       i
            _lowerCAmelCase    :							Tuple   			=       WordpieceTokenizer(vocab=snake_case__      ,	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   ):

            '''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   ):

            '''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   ):

            '''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   ):

            '''simple docstring'''

            _lowerCAmelCase    :							int   			=       self.get_tokenizer()
            _lowerCAmelCase    :							List[Any]   			=       self.get_rust_tokenizer()

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

            self.assertListEqual(
                [rust_tokenizer.tokenize(snake_case__   ) for t in ['Test', '\xad', 'test']]      ,	[['[UNK]'], [], ['[UNK]']]   )







     @slow
     def a	( self   ):

            '''simple docstring'''

            _lowerCAmelCase    :							Dict   			=       self.tokenizer_class.from_pretrained('google/mobilebert-uncased'   )

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

            _lowerCAmelCase    :							str   			=       tokenizer.build_inputs_with_special_tokens(snake_case__   )
            _lowerCAmelCase    :							List[str]   			=       tokenizer.build_inputs_with_special_tokens(snake_case__      ,	snake_case__   )

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







     def a	( self   ):

            '''simple docstring'''

            for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
                   with self.subTest(F'{tokenizer.__class__.__name__} ({pretrained_name})'   ):
                          _lowerCAmelCase    :							List[str]   			=       self.rust_tokenizer_class.from_pretrained(snake_case__      ,	**snake_case__   )

                          _lowerCAmelCase    :							Any   			=       F'A, naïve {tokenizer_r.mask_token} AllenNLP sentence.'
                          _lowerCAmelCase    :							Optional[int]   			=       tokenizer_r.encode_plus(
                              snake_case__      ,	return_attention_mask=snake_case__      ,	return_token_type_ids=snake_case__      ,	return_offsets_mapping=snake_case__      ,	add_special_tokens=snake_case__      ,	)

                          _lowerCAmelCase    :							List[Any]   			=       tokenizer_r.do_lower_case if hasattr(snake_case__      ,	'do_lower_case'   ) else False
                          _lowerCAmelCase    :							List[str]   			=       (
                              [
                                  ((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 a	( self   ):

            '''simple docstring'''

            _lowerCAmelCase    :							Optional[int]   			=       ['的', '人', '有']
            _lowerCAmelCase    :							str   			=       ''.join(snake_case__   )
            for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
                   with self.subTest(F'{tokenizer.__class__.__name__} ({pretrained_name})'   ):
                          _lowerCAmelCase    :							List[str]   			=       True
                          _lowerCAmelCase    :							Optional[Any]   			=       self.tokenizer_class.from_pretrained(snake_case__      ,	**snake_case__   )
                          _lowerCAmelCase    :							int   			=       self.rust_tokenizer_class.from_pretrained(snake_case__      ,	**snake_case__   )

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

                          _lowerCAmelCase    :							int   			=       tokenizer_r.convert_ids_to_tokens(snake_case__   )
                          _lowerCAmelCase    :							Any   			=       tokenizer_p.convert_ids_to_tokens(snake_case__   )

                          # it is expected that each Chinese character is not preceded by "##"
                          self.assertListEqual(snake_case__      ,	snake_case__   )
                          self.assertListEqual(snake_case__      ,	snake_case__   )

                          _lowerCAmelCase    :							Any   			=       False
                          _lowerCAmelCase    :							Any   			=       self.rust_tokenizer_class.from_pretrained(snake_case__      ,	**snake_case__   )
                          _lowerCAmelCase    :							List[str]   			=       self.tokenizer_class.from_pretrained(snake_case__      ,	**snake_case__   )

                          _lowerCAmelCase    :							Optional[int]   			=       tokenizer_r.encode(snake_case__      ,	add_special_tokens=snake_case__   )
                          _lowerCAmelCase    :							str   			=       tokenizer_p.encode(snake_case__      ,	add_special_tokens=snake_case__   )

                          _lowerCAmelCase    :							int   			=       tokenizer_r.convert_ids_to_tokens(snake_case__   )
                          _lowerCAmelCase    :							Tuple   			=       tokenizer_p.convert_ids_to_tokens(snake_case__   )

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





'''simple docstring'''







import os
from typing import Dict, List, Union

import tensorflow as tf
from keras_nlp.tokenizers import BytePairTokenizer
from tensorflow_text import pad_model_inputs

from .tokenization_gpta import GPTaTokenizer
class 	UpperCamelCase__					( tf.keras.layers.Layer	):



     """simple docstring"""






     def __init__( self      ,	snake_case__      ,	snake_case__      ,	snake_case__ = None      ,	snake_case__ = None   ):

            '''simple docstring'''

            super().__init__()
            _lowerCAmelCase    :							Union[str, Any]   			=       pad_token_id
            _lowerCAmelCase    :							List[Any]   			=       max_length
            _lowerCAmelCase    :							Tuple   			=       vocab
            _lowerCAmelCase    :							str   			=       merges
            _lowerCAmelCase    :							List[str]   			=       BytePairTokenizer(snake_case__      ,	snake_case__      ,	sequence_length=snake_case__   )







     @classmethod
     def a	( cls      ,	snake_case__      ,	*snake_case__      ,	**snake_case__   ):

            '''simple docstring'''

            _lowerCAmelCase    :							Dict   			=       [' '.join(snake_case__   ) for m in tokenizer.bpe_ranks.keys()]
            _lowerCAmelCase    :							Any   			=       tokenizer.get_vocab()
            return cls(snake_case__      ,	snake_case__      ,	*snake_case__      ,	**snake_case__   )







     @classmethod
     def a	( cls      ,	snake_case__      ,	*snake_case__      ,	**snake_case__   ):

            '''simple docstring'''

            _lowerCAmelCase    :							List[Any]   			=       GPTaTokenizer.from_pretrained(snake_case__      ,	*snake_case__      ,	**snake_case__   )
            return cls.from_tokenizer(snake_case__      ,	*snake_case__      ,	**snake_case__   )







     @classmethod
     def a	( cls      ,	snake_case__   ):

            '''simple docstring'''

            return cls(**snake_case__   )







     def a	( self   ):

            '''simple docstring'''

            return {
                "vocab": self.vocab,
                "merges": self.merges,
                "max_length": self.max_length,
                "pad_token_id": self.pad_token_id,
            }







     def a	( self      ,	snake_case__      ,	snake_case__ = None   ):

            '''simple docstring'''

            _lowerCAmelCase    :							str   			=       self.tf_tokenizer(snake_case__   )
            _lowerCAmelCase    :							str   			=       tf.ones_like(snake_case__   )

            if self.pad_token_id is not None:
                   # pad the tokens up to max length
                   _lowerCAmelCase    :							Optional[int]   			=       max_length if max_length is not None else self.max_length

                   if max_length is not None:
                          _lowerCAmelCase			,     _lowerCAmelCase    :							str   			=       pad_model_inputs(
                              snake_case__      ,	max_seq_length=snake_case__      ,	pad_value=self.pad_token_id   )

            return {"attention_mask": attention_mask, "input_ids": input_ids}

