


'''simple docstring'''
import json
import multiprocessing as mp
import re
from collections import defaultdict
from functools import partial
from typing import Dict, List, Optional, Set, Tuple, Type

from datasets import Dataset
from datasketch import MinHash, MinHashLSH
from dpu_utils.utils.iterators import ThreadedIterator
from tqdm import tqdm


__snake_case							   =  re.compile('''[^A-Za-z_0-9]''')
# parameters used in DuplicationIndex
__snake_case							   =  10
__snake_case							   =  256


def     a   (    __a     )						->			Optional[MinHash]:



					'''simple docstring'''






					if len(__a     ) < MIN_NUM_TOKENS:
										return None
					UpperCamelCase__     :Union[str, Any]							      =				MinHash(num_perm=__a     )
					for token in set(__a     ):
										min_hash.update(token.encode()     )
					return min_hash


def     a   (    __a     )						->			Set[str]:



					'''simple docstring'''






					return {t for t in NON_ALPHA.split(__a     ) if len(t.strip()     ) > 0}
class      lowercase			:

		"""simple docstring"""

		def __init__(	self					,     *,
		    UpperCamelCase_ = 0.85					,     ):

							'''simple docstring'''


							UpperCamelCase__     :Optional[int]							      =				duplication_jaccard_threshold
							UpperCamelCase__     :int							      =				NUM_PERM
							UpperCamelCase__     :List[Any]							      =				MinHashLSH(threshold=self._duplication_jaccard_threshold					,     num_perm=self._num_perm							)

							UpperCamelCase__     :Dict							      =				defaultdict(UpperCamelCase_							)




		def 					lowerCAmelCase__       (	self					,     UpperCamelCase_					,     UpperCamelCase_							):

							'''simple docstring'''


							UpperCamelCase__     :Optional[Any]							      =				self._index.query(UpperCamelCase_							)
							if code_key in self._index.keys:
												print(F'''Duplicate key {code_key}'''							)
												return

							self._index.insert(UpperCamelCase_					,     UpperCamelCase_							)
							if len(UpperCamelCase_							) > 0:
												for base_duplicate in close_duplicates:
																	if base_duplicate in self._duplicate_clusters:
																						self._duplicate_clusters[base_duplicate].add(UpperCamelCase_							)
																						break
												else:
																	self._duplicate_clusters[close_duplicates[0]].add(UpperCamelCase_							)




		def 					lowerCAmelCase__       (	self							):

							'''simple docstring'''


							UpperCamelCase__     :Dict							      =				[]
							for base, duplicates in self._duplicate_clusters.items():
												UpperCamelCase__     :Union[str, Any]							      =				[base] + list(UpperCamelCase_							)
												# reformat the cluster to be a list of dict
												UpperCamelCase__     :Optional[int]							      =				[{'''base_index''': el[0], '''repo_name''': el[1], '''path''': el[2]} for el in cluster]
												duplicate_clusters.append(UpperCamelCase_							)
							return duplicate_clusters




		def 					lowerCAmelCase__       (	self					,     UpperCamelCase_							):

							'''simple docstring'''


							UpperCamelCase__     :Dict							      =				self.get_duplicate_clusters()
							with open(UpperCamelCase_					,     '''w'''							) as f:
												json.dump(UpperCamelCase_					,     UpperCamelCase_							)



def     a   (    __a     )						->			Union[str, Any]:



					'''simple docstring'''






					UpperCamelCase__      ,       UpperCamelCase__     :Optional[int]							      =				element
					UpperCamelCase__     :Optional[Any]							      =				get_min_hash([t for t in NON_ALPHA.split(data['''content''']     ) if len(t.strip()     ) > 0]     )
					if min_hash is not None:
										return (index, data["repo_name"], data["path"]), min_hash


def     a   (    __a     )						->			Optional[Any]:



					'''simple docstring'''






					with mp.Pool() as pool:
										for data in pool.imap_unordered(
										    _compute_min_hash				,      ThreadedIterator(__a				,      max_queue_size=10000     )				,      chunksize=100				,      ):
															if data is not None:
																				yield data


def     a   (    __a				,      __a     )						->			Dict:



					'''simple docstring'''






					UpperCamelCase__     :Optional[int]							      =				DuplicationIndex(duplication_jaccard_threshold=__a     )

					for filename, min_hash in tqdm(ThreadedIterator(minhash_iter(enumerate(__a     )     )				,      max_queue_size=100     )     ):
										di.add(__a				,      __a     )

					# Returns a List[Cluster] where Cluster is List[str] with the filenames.
					return di.get_duplicate_clusters()


def     a   (    __a				,      __a     )						->			float:



					'''simple docstring'''






					UpperCamelCase__     :List[str]							      =				get_tokens(__a     )
					UpperCamelCase__     :Union[str, Any]							      =				get_tokens(__a     )
					return len(tokensa & tokensa     ) / len(tokensa | tokensa     )


__snake_case							   =  None


def     a   (    __a				,      __a     )						->			List[str]:



					'''simple docstring'''






					UpperCamelCase__     :Any							      =				[]
					for elementa in cluster:
										UpperCamelCase__     :Union[str, Any]							      =				_shared_dataset[elementa['''base_index''']]['''content''']
										for elementa in extremes:
															UpperCamelCase__     :str							      =				_shared_dataset[elementa['''base_index''']]['''content''']
															if jaccard_similarity(__a				,      __a     ) >= jaccard_threshold:
																				elementa["copies"] += 1
																				break
										else:
															UpperCamelCase__     :Optional[Any]							      =				1
															extremes.append(__a     )
					return extremes


def     a   (    __a				,      __a				,      __a     )						->			Optional[int]:



					'''simple docstring'''






					global _shared_dataset
					UpperCamelCase__     :Optional[int]							      =				dataset
					UpperCamelCase__     :List[str]							      =				[]
					UpperCamelCase__     :Union[str, Any]							      =				partial(_find_cluster_extremes_shared				,      jaccard_threshold=__a     )
					with mp.Pool() as pool:
										for extremes in tqdm(
										    pool.imap_unordered(
										        __a				,      __a				,      )				,      total=len(__a     )				,      ):
															extremes_list.append(__a     )
					return extremes_list







def     a   (    __a				,      __a = 0.8_5     )						->			Tuple[Type[Dataset], List[List[Dict]]]:



					'''simple docstring'''






					UpperCamelCase__     :str							      =				make_duplicate_clusters(__a				,      __a     )
					UpperCamelCase__     :Optional[Any]							      =				{x['''base_index'''] for cluster in duplicate_clusters for x in cluster}
					UpperCamelCase__     :List[str]							      =				{}
					UpperCamelCase__     :Optional[int]							      =				find_extremes(__a				,      __a				,      __a     )
					for extremes in extremes_clusters:
										for element in extremes:
															UpperCamelCase__     :List[str]							      =				element
					UpperCamelCase__     :List[str]							      =				duplicate_indices - set(extreme_dict.keys()     )
					UpperCamelCase__     :Optional[int]							      =				dataset.filter(lambda __a				,      __a     : idx not in remove_indices				,      with_indices=__a     )

					# update duplicate_clusters
					for cluster in duplicate_clusters:
										for element in cluster:
															UpperCamelCase__     :int							      =				element['''base_index'''] in extreme_dict
															if element["is_extreme"]:
																				UpperCamelCase__     :Tuple							      =				extreme_dict[element['''base_index''']]['''copies''']

					print(f'''Original dataset size: {len(__a     )}'''     )
					print(f'''Number of duplicate clusters: {len(__a     )}'''     )
					print(f'''Files in duplicate cluster: {len(__a     )}'''     )
					print(f'''Unique files in duplicate cluster: {len(__a     )}'''     )
					print(f'''Filtered dataset size: {len(__a     )}'''     )

					return ds_filter, duplicate_clusters



'''simple docstring'''
import json
import os
import unittest

from transformers.models.roc_bert.tokenization_roc_bert import (
    VOCAB_FILES_NAMES,
    RoCBertBasicTokenizer,
    RoCBertTokenizer,
    RoCBertWordpieceTokenizer,
    _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      lowercase			(							A__			,	unittest.TestCase      ):

		"""simple docstring"""

		_a									=       RoCBertTokenizer
		_a									=       None
		_a									=       False
		_a									=       True
		_a									=       filter_non_english




		def 					lowerCAmelCase__       (	self							):

							'''simple docstring'''


							super().setUp()

							UpperCamelCase__     :List[str]							      =				['''[UNK]''', '''[CLS]''', '''[SEP]''', '''[PAD]''', '''[MASK]''', '''你''', '''好''', '''是''', '''谁''', '''a''', '''b''', '''c''', '''d''']
							UpperCamelCase__     :Optional[Any]							      =				{}
							UpperCamelCase__     :str							      =				{}
							for i, value in enumerate(UpperCamelCase_							):
												UpperCamelCase__     :List[Any]							      =				i
												UpperCamelCase__     :List[str]							      =				i
							UpperCamelCase__     :Any							      =				os.path.join(self.tmpdirname					,     VOCAB_FILES_NAMES['''vocab_file''']							)
							UpperCamelCase__     :Optional[Any]							      =				os.path.join(self.tmpdirname					,     VOCAB_FILES_NAMES['''word_shape_file''']							)
							UpperCamelCase__     :List[str]							      =				os.path.join(self.tmpdirname					,     VOCAB_FILES_NAMES['''word_pronunciation_file''']							)
							with open(self.vocab_file					,     '''w'''					,     encoding='''utf-8'''							) as vocab_writer:
												vocab_writer.write(''''''.join([x + '''\n''' for x in vocab_tokens]							)							)
							with open(self.word_shape_file					,     '''w'''					,     encoding='''utf-8'''							) as word_shape_writer:
												json.dump(UpperCamelCase_					,     UpperCamelCase_					,     ensure_ascii=UpperCamelCase_							)
							with open(self.word_pronunciation_file					,     '''w'''					,     encoding='''utf-8'''							) as word_pronunciation_writer:
												json.dump(UpperCamelCase_					,     UpperCamelCase_					,     ensure_ascii=UpperCamelCase_							)




		def 					lowerCAmelCase__       (	self							):

							'''simple docstring'''


							UpperCamelCase__     :Tuple							      =				self.tokenizer_class(self.vocab_file					,     self.word_shape_file					,     self.word_pronunciation_file							)

							UpperCamelCase__     :Optional[int]							      =				tokenizer.tokenize('''你好[SEP]你是谁'''							)
							self.assertListEqual(UpperCamelCase_					,     ['''你''', '''好''', '''[SEP]''', '''你''', '''是''', '''谁''']							)
							self.assertListEqual(tokenizer.convert_tokens_to_ids(UpperCamelCase_							)					,     [5, 6, 2, 5, 7, 8]							)
							self.assertListEqual(tokenizer.convert_tokens_to_shape_ids(UpperCamelCase_							)					,     [5, 6, 2, 5, 7, 8]							)
							self.assertListEqual(tokenizer.convert_tokens_to_pronunciation_ids(UpperCamelCase_							)					,     [5, 6, 2, 5, 7, 8]							)




		def 					lowerCAmelCase__       (	self							):

							'''simple docstring'''


							UpperCamelCase__     :int							      =				RoCBertBasicTokenizer()

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




		def 					lowerCAmelCase__       (	self							):

							'''simple docstring'''


							UpperCamelCase__     :Optional[Any]							      =				RoCBertBasicTokenizer(do_lower_case=UpperCamelCase_							)

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




		def 					lowerCAmelCase__       (	self							):

							'''simple docstring'''


							UpperCamelCase__     :List[Any]							      =				RoCBertBasicTokenizer(do_lower_case=UpperCamelCase_					,     strip_accents=UpperCamelCase_							)

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




		def 					lowerCAmelCase__       (	self							):

							'''simple docstring'''


							UpperCamelCase__     :str							      =				RoCBertBasicTokenizer(do_lower_case=UpperCamelCase_					,     strip_accents=UpperCamelCase_							)

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




		def 					lowerCAmelCase__       (	self							):

							'''simple docstring'''


							UpperCamelCase__     :Any							      =				RoCBertBasicTokenizer(do_lower_case=UpperCamelCase_							)

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




		def 					lowerCAmelCase__       (	self							):

							'''simple docstring'''


							UpperCamelCase__     :List[str]							      =				RoCBertBasicTokenizer(do_lower_case=UpperCamelCase_							)

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




		def 					lowerCAmelCase__       (	self							):

							'''simple docstring'''


							UpperCamelCase__     :Union[str, Any]							      =				RoCBertBasicTokenizer(do_lower_case=UpperCamelCase_					,     strip_accents=UpperCamelCase_							)

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




		def 					lowerCAmelCase__       (	self							):

							'''simple docstring'''


							UpperCamelCase__     :Dict							      =				RoCBertBasicTokenizer(do_lower_case=UpperCamelCase_					,     strip_accents=UpperCamelCase_							)

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




		def 					lowerCAmelCase__       (	self							):

							'''simple docstring'''


							UpperCamelCase__     :str							      =				RoCBertBasicTokenizer(do_lower_case=UpperCamelCase_					,     never_split=['''[UNK]''']							)

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




		def 					lowerCAmelCase__       (	self							):

							'''simple docstring'''


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

							UpperCamelCase__     :List[str]							      =				{}
							for i, token in enumerate(UpperCamelCase_							):
												UpperCamelCase__     :Tuple							      =				i
							UpperCamelCase__     :Any							      =				RoCBertWordpieceTokenizer(vocab=UpperCamelCase_					,     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 					lowerCAmelCase__       (	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 					lowerCAmelCase__       (	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 					lowerCAmelCase__       (	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 					lowerCAmelCase__       (	self							):

							'''simple docstring'''


							UpperCamelCase__     :Union[str, Any]							      =				self.get_tokenizer()

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

							if self.test_rust_tokenizer:
												UpperCamelCase__     :List[str]							      =				self.get_rust_tokenizer()
												self.assertListEqual(
												    [rust_tokenizer.tokenize(UpperCamelCase_							) for t in ['''Test''', '''\xad''', '''test''']]					,     [['''[UNK]'''], [], ['''[UNK]''']]							)




		def 					lowerCAmelCase__       (	self							):

							'''simple docstring'''


							for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
												with self.subTest(F'''{tokenizer.__class__.__name__} ({pretrained_name})'''							):
																	UpperCamelCase__     :Optional[Any]							      =				self.rust_tokenizer_class.from_pretrained(UpperCamelCase_					,     **UpperCamelCase_							)

																	UpperCamelCase__     :Optional[int]							      =				F'''A, naïve {tokenizer_r.mask_token} AllenNLP sentence.'''
																	UpperCamelCase__     :List[str]							      =				tokenizer_r.encode_plus(
																	    UpperCamelCase_					,     return_attention_mask=UpperCamelCase_					,     return_token_type_ids=UpperCamelCase_					,     return_offsets_mapping=UpperCamelCase_					,     add_special_tokens=UpperCamelCase_					,     )

																	UpperCamelCase__     :int							      =				tokenizer_r.do_lower_case if hasattr(UpperCamelCase_					,     '''do_lower_case'''							) else False
																	UpperCamelCase__     :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 					lowerCAmelCase__       (	self							):

							'''simple docstring'''


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

																	UpperCamelCase__     :Union[str, Any]							      =				tokenizer_p.encode(UpperCamelCase_					,     add_special_tokens=UpperCamelCase_							)
																	UpperCamelCase__     :Optional[Any]							      =				tokenizer_r.encode(UpperCamelCase_					,     add_special_tokens=UpperCamelCase_							)

																	UpperCamelCase__     :Any							      =				tokenizer_r.convert_ids_to_tokens(UpperCamelCase_							)
																	UpperCamelCase__     :str							      =				tokenizer_p.convert_ids_to_tokens(UpperCamelCase_							)

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

																	UpperCamelCase__     :Optional[int]							      =				False
																	UpperCamelCase__     :Union[str, Any]							      =				self.rust_tokenizer_class.from_pretrained(UpperCamelCase_					,     **UpperCamelCase_							)
																	UpperCamelCase__     :Dict							      =				self.tokenizer_class.from_pretrained(UpperCamelCase_					,     **UpperCamelCase_							)

																	UpperCamelCase__     :Optional[int]							      =				tokenizer_r.encode(UpperCamelCase_					,     add_special_tokens=UpperCamelCase_							)
																	UpperCamelCase__     :List[Any]							      =				tokenizer_p.encode(UpperCamelCase_					,     add_special_tokens=UpperCamelCase_							)

																	UpperCamelCase__     :Any							      =				tokenizer_r.convert_ids_to_tokens(UpperCamelCase_							)
																	UpperCamelCase__     :int							      =				tokenizer_p.convert_ids_to_tokens(UpperCamelCase_							)

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




		@slow
		def 					lowerCAmelCase__       (	self							):

							'''simple docstring'''


							UpperCamelCase__     :int							      =				self.tokenizer_class(self.vocab_file					,     self.word_shape_file					,     self.word_pronunciation_file							)

							UpperCamelCase__     :Union[str, Any]							      =				tokenizer.encode('''你好'''					,     add_special_tokens=UpperCamelCase_							)
							UpperCamelCase__     :Dict							      =				tokenizer.encode('''你是谁'''					,     add_special_tokens=UpperCamelCase_							)

							UpperCamelCase__     :Union[str, Any]							      =				tokenizer.build_inputs_with_special_tokens(UpperCamelCase_							)
							UpperCamelCase__     :Optional[int]							      =				tokenizer.build_inputs_with_special_tokens(UpperCamelCase_					,     UpperCamelCase_							)

							assert encoded_sentence == [1] + text + [2]
							assert encoded_pair == [1] + text + [2] + text_a + [2]




		def 					lowerCAmelCase__       (	self							):

							'''simple docstring'''


							UpperCamelCase__     :int							      =				self.get_tokenizers(do_lower_case=UpperCamelCase_							)
							for tokenizer in tokenizers:
												with self.subTest(F'''{tokenizer.__class__.__name__}'''							):
																	UpperCamelCase__     :Optional[int]							      =				'''你好，你是谁'''
																	UpperCamelCase__     :Optional[int]							      =				tokenizer.tokenize(UpperCamelCase_							)
																	UpperCamelCase__     :Union[str, Any]							      =				tokenizer.convert_tokens_to_ids(UpperCamelCase_							)
																	UpperCamelCase__     :Any							      =				tokenizer.convert_tokens_to_shape_ids(UpperCamelCase_							)
																	UpperCamelCase__     :int							      =				tokenizer.convert_tokens_to_pronunciation_ids(UpperCamelCase_							)
																	UpperCamelCase__     :Optional[int]							      =				tokenizer.prepare_for_model(
																	    UpperCamelCase_					,     UpperCamelCase_					,     UpperCamelCase_					,     add_special_tokens=UpperCamelCase_							)

																	UpperCamelCase__     :Optional[int]							      =				tokenizer.encode_plus(UpperCamelCase_					,     add_special_tokens=UpperCamelCase_							)

																	self.assertEqual(UpperCamelCase_					,     UpperCamelCase_							)