




"""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(      UpperCamelCase_	,	unittest.TestCase				):




					'''simple docstring'''


					__a						:						List[Any]     		= RoCBertTokenizer
					__a						:						Tuple     		= None
					__a						:						Dict     		= False
					__a						:						int     		= True
					__a						:						Any     		= filter_non_english
					def     snake_case_				(    self     ):
								super().setUp()

								__lowerCamelCase					:	Any	       =				["""[UNK]""", """[CLS]""", """[SEP]""", """[PAD]""", """[MASK]""", """你""", """好""", """是""", """谁""", """a""", """b""", """c""", """d"""]
								__lowerCamelCase					:	List[Any]	       =				{}
								__lowerCamelCase					:	List[Any]	       =				{}
								for i, value in enumerate(_a     ):
											__lowerCamelCase					:	List[Any]	       =				i
											__lowerCamelCase					:	str	       =				i
								__lowerCamelCase					:	Dict	       =				os.path.join(self.tmpdirname						,	VOCAB_FILES_NAMES['vocab_file']     )
								__lowerCamelCase					:	Tuple	       =				os.path.join(self.tmpdirname						,	VOCAB_FILES_NAMES['word_shape_file']     )
								__lowerCamelCase					:	Optional[Any]	       =				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(_a						,	_a						,	ensure_ascii=_a     )
								with open(self.word_pronunciation_file						,	'w'						,	encoding='utf-8'     ) as word_pronunciation_writer:
											json.dump(_a						,	_a						,	ensure_ascii=_a     )
					def     snake_case_				(    self     ):
								__lowerCamelCase					:	str	       =				self.tokenizer_class(self.vocab_file						,	self.word_shape_file						,	self.word_pronunciation_file     )

								__lowerCamelCase					:	Any	       =				tokenizer.tokenize('你好[SEP]你是谁'     )
								self.assertListEqual(_a						,	['你', '好', '[SEP]', '你', '是', '谁']     )
								self.assertListEqual(tokenizer.convert_tokens_to_ids(_a     )						,	[5, 6, 2, 5, 7, 8]     )
								self.assertListEqual(tokenizer.convert_tokens_to_shape_ids(_a     )						,	[5, 6, 2, 5, 7, 8]     )
								self.assertListEqual(tokenizer.convert_tokens_to_pronunciation_ids(_a     )						,	[5, 6, 2, 5, 7, 8]     )
					def     snake_case_				(    self     ):
								__lowerCamelCase					:	Dict	       =				RoCBertBasicTokenizer()

								self.assertListEqual(tokenizer.tokenize('ah\u535A\u63A8zz'     )						,	['ah', '\u535A', '\u63A8', 'zz']     )
					def     snake_case_				(    self     ):
								__lowerCamelCase					:	List[str]	       =				RoCBertBasicTokenizer(do_lower_case=_a     )

								self.assertListEqual(
								    tokenizer.tokenize(' \tHeLLo!how  \n Are yoU?  '     )						,	['hello', '!', 'how', 'are', 'you', '?']     )
								self.assertListEqual(tokenizer.tokenize('H\u00E9llo'     )						,	['hello']     )
					def     snake_case_				(    self     ):
								__lowerCamelCase					:	str	       =				RoCBertBasicTokenizer(do_lower_case=_a						,	strip_accents=_a     )

								self.assertListEqual(
								    tokenizer.tokenize(' \tHäLLo!how  \n Are yoU?  '     )						,	['hällo', '!', 'how', 'are', 'you', '?']     )
								self.assertListEqual(tokenizer.tokenize('H\u00E9llo'     )						,	['h\u00E9llo']     )
					def     snake_case_				(    self     ):
								__lowerCamelCase					:	List[Any]	       =				RoCBertBasicTokenizer(do_lower_case=_a						,	strip_accents=_a     )

								self.assertListEqual(
								    tokenizer.tokenize(' \tHäLLo!how  \n Are yoU?  '     )						,	['hallo', '!', 'how', 'are', 'you', '?']     )
								self.assertListEqual(tokenizer.tokenize('H\u00E9llo'     )						,	['hello']     )
					def     snake_case_				(    self     ):
								__lowerCamelCase					:	Optional[Any]	       =				RoCBertBasicTokenizer(do_lower_case=_a     )

								self.assertListEqual(
								    tokenizer.tokenize(' \tHäLLo!how  \n Are yoU?  '     )						,	['hallo', '!', 'how', 'are', 'you', '?']     )
								self.assertListEqual(tokenizer.tokenize('H\u00E9llo'     )						,	['hello']     )
					def     snake_case_				(    self     ):
								__lowerCamelCase					:	int	       =				RoCBertBasicTokenizer(do_lower_case=_a     )

								self.assertListEqual(
								    tokenizer.tokenize(' \tHeLLo!how  \n Are yoU?  '     )						,	['HeLLo', '!', 'how', 'Are', 'yoU', '?']     )
					def     snake_case_				(    self     ):
								__lowerCamelCase					:	int	       =				RoCBertBasicTokenizer(do_lower_case=_a						,	strip_accents=_a     )

								self.assertListEqual(
								    tokenizer.tokenize(' \tHäLLo!how  \n Are yoU?  '     )						,	['HäLLo', '!', 'how', 'Are', 'yoU', '?']     )
					def     snake_case_				(    self     ):
								__lowerCamelCase					:	Optional[Any]	       =				RoCBertBasicTokenizer(do_lower_case=_a						,	strip_accents=_a     )

								self.assertListEqual(
								    tokenizer.tokenize(' \tHäLLo!how  \n Are yoU?  '     )						,	['HaLLo', '!', 'how', 'Are', 'yoU', '?']     )
					def     snake_case_				(    self     ):
								__lowerCamelCase					:	Union[str, Any]	       =				RoCBertBasicTokenizer(do_lower_case=_a						,	never_split=['[UNK]']     )

								self.assertListEqual(
								    tokenizer.tokenize(' \tHeLLo!how  \n Are yoU? [UNK]'     )						,	['HeLLo', '!', 'how', 'Are', 'yoU', '?', '[UNK]']     )
					def     snake_case_				(    self     ):
								__lowerCamelCase					:	List[Any]	       =				["""[UNK]""", """[CLS]""", """[SEP]""", """want""", """##want""", """##ed""", """wa""", """un""", """runn""", """##ing"""]

								__lowerCamelCase					:	Optional[Any]	       =				{}
								for i, token in enumerate(_a     ):
											__lowerCamelCase					:	Optional[Any]	       =				i
								__lowerCamelCase					:	List[str]	       =				RoCBertWordpieceTokenizer(vocab=_a						,	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     snake_case_				(    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     snake_case_				(    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     snake_case_				(    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     snake_case_				(    self     ):
								__lowerCamelCase					:	Optional[int]	       =				self.get_tokenizer()

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

								if self.test_rust_tokenizer:
											__lowerCamelCase					:	Optional[Any]	       =				self.get_rust_tokenizer()
											self.assertListEqual(
											    [rust_tokenizer.tokenize(_a     ) for t in ['Test', '\xad', 'test']]						,	[['[UNK]'], [], ['[UNK]']]     )
					def     snake_case_				(    self     ):


								for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
											with self.subTest(f'''{tokenizer.__class__.__name__} ({pretrained_name})'''     ):
														__lowerCamelCase					:	List[Any]	       =				self.rust_tokenizer_class.from_pretrained(_a						,	**_a     )

														__lowerCamelCase					:	Dict	       =				f'''A, naïve {tokenizer_r.mask_token} AllenNLP sentence.'''
														__lowerCamelCase					:	List[Any]	       =				tokenizer_r.encode_plus(
														    _a						,	return_attention_mask=_a						,	return_token_type_ids=_a						,	return_offsets_mapping=_a						,	add_special_tokens=_a						,	)

														__lowerCamelCase					:	Optional[int]	       =				tokenizer_r.do_lower_case if hasattr(_a						,	'do_lower_case'     ) else False
														__lowerCamelCase					:	Optional[int]	       =				(
														    [
														        ((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     snake_case_				(    self     ):
								__lowerCamelCase					:	Optional[int]	       =				["""的""", """人""", """有"""]
								__lowerCamelCase					:	Dict	       =				"""""".join(_a     )
								for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
											with self.subTest(f'''{tokenizer.__class__.__name__} ({pretrained_name})'''     ):
														__lowerCamelCase					:	Union[str, Any]	       =				True
														__lowerCamelCase					:	Tuple	       =				self.tokenizer_class.from_pretrained(_a						,	**_a     )
														__lowerCamelCase					:	str	       =				self.rust_tokenizer_class.from_pretrained(_a						,	**_a     )

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

														__lowerCamelCase					:	Tuple	       =				tokenizer_r.convert_ids_to_tokens(_a     )
														__lowerCamelCase					:	Any	       =				tokenizer_p.convert_ids_to_tokens(_a     )

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

														__lowerCamelCase					:	Any	       =				False
														__lowerCamelCase					:	Tuple	       =				self.rust_tokenizer_class.from_pretrained(_a						,	**_a     )
														__lowerCamelCase					:	Union[str, Any]	       =				self.tokenizer_class.from_pretrained(_a						,	**_a     )

														__lowerCamelCase					:	str	       =				tokenizer_r.encode(_a						,	add_special_tokens=_a     )
														__lowerCamelCase					:	Dict	       =				tokenizer_p.encode(_a						,	add_special_tokens=_a     )

														__lowerCamelCase					:	Optional[int]	       =				tokenizer_r.convert_ids_to_tokens(_a     )
														__lowerCamelCase					:	Optional[int]	       =				tokenizer_p.convert_ids_to_tokens(_a     )

														# it is expected that only the first Chinese character is not preceded by "##".
														__lowerCamelCase					:	Tuple	       =				[
														    f'''##{token}''' if idx != 0 else token for idx, token in enumerate(_a     )
														]
														self.assertListEqual(_a						,	_a     )
														self.assertListEqual(_a						,	_a     )
					@slow
					def     snake_case_				(    self     ):
								__lowerCamelCase					:	Optional[Any]	       =				self.tokenizer_class(self.vocab_file						,	self.word_shape_file						,	self.word_pronunciation_file     )

								__lowerCamelCase					:	Union[str, Any]	       =				tokenizer.encode('你好'						,	add_special_tokens=_a     )
								__lowerCamelCase					:	Any	       =				tokenizer.encode('你是谁'						,	add_special_tokens=_a     )

								__lowerCamelCase					:	Optional[Any]	       =				tokenizer.build_inputs_with_special_tokens(_a     )
								__lowerCamelCase					:	Any	       =				tokenizer.build_inputs_with_special_tokens(_a						,	_a     )

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





					def     snake_case_				(    self     ):
								__lowerCamelCase					:	int	       =				self.get_tokenizers(do_lower_case=_a     )
								for tokenizer in tokenizers:
											with self.subTest(f'''{tokenizer.__class__.__name__}'''     ):
														__lowerCamelCase					:	Any	       =				"""你好，你是谁"""
														__lowerCamelCase					:	Tuple	       =				tokenizer.tokenize(_a     )
														__lowerCamelCase					:	List[Any]	       =				tokenizer.convert_tokens_to_ids(_a     )
														__lowerCamelCase					:	List[Any]	       =				tokenizer.convert_tokens_to_shape_ids(_a     )
														__lowerCamelCase					:	List[str]	       =				tokenizer.convert_tokens_to_pronunciation_ids(_a     )
														__lowerCamelCase					:	int	       =				tokenizer.prepare_for_model(
														    _a						,	_a						,	_a						,	add_special_tokens=_a     )

														__lowerCamelCase					:	List[str]	       =				tokenizer.encode_plus(_a						,	add_special_tokens=_a     )

														self.assertEqual(_a						,	_a     )









"""simple docstring"""
def 						UpperCAmelCase				(			A__:    Dict     )  ->     Optional[int]:
			stooge(A__							,				0							,				len(A__     ) - 1     )
			return arr





def 						UpperCAmelCase				(			A__:    Dict							,				A__:    List[str]							,				A__:    Optional[int]     )  ->     Any:
			if i >= h:
						return

			# If first element is smaller than the last then swap them
			if arr[i] > arr[h]:
						__lowerCamelCase       ,      __lowerCamelCase					:	Dict	       =				arr[h], arr[i]

			# If there are more than 2 elements in the array
			if h - i + 1 > 2:
						__lowerCamelCase					:	str	       =				(int)((h - i + 1) / 3     )

						# Recursively sort first 2/3 elements
						stooge(A__							,				A__							,				(h - t)     )

						# Recursively sort last 2/3 elements
						stooge(A__							,				i + t							,				(A__)     )

						# Recursively sort first 2/3 elements
						stooge(A__							,				A__							,				(h - t)     )


if __name__ == "__main__":
					a_				:    Tuple										=     input('''Enter numbers separated by a comma:\n''').strip()
					a_				:    Optional[Any]										=     [int(item) for item in user_input.split(''',''')]
					print(stooge_sort(unsorted))



