



'''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 	__magic_name__						(    _UpperCamelCase			,						unittest.TestCase   ):
							lowerCAmelCase       :    Tuple   				=					MobileBertTokenizer
							lowerCAmelCase       :    Any   				=					MobileBertTokenizerFast
							lowerCAmelCase       :    Tuple   				=					True
							lowerCAmelCase       :    Tuple   				=					True
							lowerCAmelCase       :    List[str]   				=					filter_non_english
							lowerCAmelCase       :    Tuple   				=					'google/mobilebert-uncased'







							def 							__lowercase			(							self					:       List[str]		):
									super().setUp()

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

									_a     :      Optional[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 							__lowercase			(							self					:       Dict	,_UpperCAmelCase					:       List[Any]		):
									_a     :      Union[str, Any]        =							'UNwant\u00E9d,running'
									_a     :      List[Any]        =							'unwanted, running'
									return input_text, output_text







							def 							__lowercase			(							self					:       Any		):
									_a     :      List[str]        =							self.tokenizer_class(self.vocab_file		)

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







							def 							__lowercase			(							self					:       Dict		):
									if not self.test_rust_tokenizer:
											return

									_a     :      Dict        =							self.get_tokenizer()
									_a     :      Optional[Any]        =							self.get_rust_tokenizer()

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

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

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

									_a     :      List[str]        =							self.get_rust_tokenizer()
									_a     :      Tuple        =							tokenizer.encode(_UpperCAmelCase		)
									_a     :      List[Any]        =							rust_tokenizer.encode(_UpperCAmelCase		)
									self.assertListEqual(_UpperCAmelCase	,_UpperCAmelCase		)

									# With lower casing
									_a     :      List[str]        =							self.get_tokenizer(do_lower_case=_UpperCAmelCase		)
									_a     :      Tuple        =							self.get_rust_tokenizer(do_lower_case=_UpperCAmelCase		)

									_a     :      int        =							'UNwant\u00E9d,running'

									_a     :      Optional[Any]        =							tokenizer.tokenize(_UpperCAmelCase		)
									_a     :      Optional[int]        =							rust_tokenizer.tokenize(_UpperCAmelCase		)
									self.assertListEqual(_UpperCAmelCase	,_UpperCAmelCase		)

									_a     :      int        =							tokenizer.encode(_UpperCAmelCase	,add_special_tokens=_UpperCAmelCase		)
									_a     :      List[str]        =							rust_tokenizer.encode(_UpperCAmelCase	,add_special_tokens=_UpperCAmelCase		)
									self.assertListEqual(_UpperCAmelCase	,_UpperCAmelCase		)

									_a     :      str        =							self.get_rust_tokenizer()
									_a     :      Tuple        =							tokenizer.encode(_UpperCAmelCase		)
									_a     :      Tuple        =							rust_tokenizer.encode(_UpperCAmelCase		)
									self.assertListEqual(_UpperCAmelCase	,_UpperCAmelCase		)







							def 							__lowercase			(							self					:       List[str]		):
									_a     :      Any        =							BasicTokenizer()

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







							def 							__lowercase			(							self					:       Tuple		):
									_a     :      str        =							BasicTokenizer(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 							__lowercase			(							self					:       Optional[Any]		):
									_a     :      Optional[int]        =							BasicTokenizer(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 							__lowercase			(							self					:       Any		):
									_a     :      str        =							BasicTokenizer(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 							__lowercase			(							self					:       str		):
									_a     :      List[Any]        =							BasicTokenizer(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 							__lowercase			(							self					:       Union[str, Any]		):
									_a     :      List[str]        =							BasicTokenizer(do_lower_case=_UpperCAmelCase		)

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







							def 							__lowercase			(							self					:       Optional[Any]		):
									_a     :      List[str]        =							BasicTokenizer(do_lower_case=_UpperCAmelCase	,strip_accents=_UpperCAmelCase		)

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







							def 							__lowercase			(							self					:       List[str]		):
									_a     :      Any        =							BasicTokenizer(do_lower_case=_UpperCAmelCase	,strip_accents=_UpperCAmelCase		)

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







							def 							__lowercase			(							self					:       List[str]		):
									_a     :      List[str]        =							BasicTokenizer(do_lower_case=_UpperCAmelCase	,never_split=['[UNK]']		)

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







							def 							__lowercase			(							self					:       Optional[Any]		):
									_a     :      List[Any]        =							['[UNK]', '[CLS]', '[SEP]', 'want', '##want', '##ed', 'wa', 'un', 'runn', '##ing']

									_a     :      Dict        =							{}
									for i, token in enumerate(_UpperCAmelCase		):
											_a     :      Tuple        =							i
									_a     :      Union[str, Any]        =							WordpieceTokenizer(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 							__lowercase			(							self					:       Optional[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					:       int		):
									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					:       str		):
									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					:       int		):
									_a     :      List[str]        =							self.get_tokenizer()
									_a     :      int        =							self.get_rust_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]']]		)

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







							@slow
							def 							__lowercase			(							self					:       Dict		):
									_a     :      List[Any]        =							self.tokenizer_class.from_pretrained('google/mobilebert-uncased'		)

									_a     :      Any        =							tokenizer.encode('sequence builders'	,add_special_tokens=_UpperCAmelCase		)
									_a     :      Tuple        =							tokenizer.encode('multi-sequence build'	,add_special_tokens=_UpperCAmelCase		)

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

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







							def 							__lowercase			(							self					:       Optional[Any]		):
									for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
											with self.subTest(F"""{tokenizer.__class__.__name__} ({pretrained_name})"""		):
													_a     :      int        =							self.rust_tokenizer_class.from_pretrained(_UpperCAmelCase	,**_UpperCAmelCase		)

													_a     :      Union[str, Any]        =							F"""A, naïve {tokenizer_r.mask_token} AllenNLP sentence."""
													_a     :      List[str]        =							tokenizer_r.encode_plus(
													    _UpperCAmelCase	,return_attention_mask=_UpperCAmelCase	,return_token_type_ids=_UpperCAmelCase	,return_offsets_mapping=_UpperCAmelCase	,add_special_tokens=_UpperCAmelCase	,)

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

													_a     :      Tuple        =							tokenizer_p.encode(_UpperCAmelCase	,add_special_tokens=_UpperCAmelCase		)
													_a     :      int        =							tokenizer_r.encode(_UpperCAmelCase	,add_special_tokens=_UpperCAmelCase		)

													_a     :      int        =							tokenizer_r.convert_ids_to_tokens(_UpperCAmelCase		)
													_a     :      Dict        =							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		)

													_a     :      Any        =							False
													_a     :      Tuple        =							self.rust_tokenizer_class.from_pretrained(_UpperCAmelCase	,**_UpperCAmelCase		)
													_a     :      List[Any]        =							self.tokenizer_class.from_pretrained(_UpperCAmelCase	,**_UpperCAmelCase		)

													_a     :      Union[str, Any]        =							tokenizer_r.encode(_UpperCAmelCase	,add_special_tokens=_UpperCAmelCase		)
													_a     :      Union[str, Any]        =							tokenizer_p.encode(_UpperCAmelCase	,add_special_tokens=_UpperCAmelCase		)

													_a     :      str        =							tokenizer_r.convert_ids_to_tokens(_UpperCAmelCase		)
													_a     :      List[str]        =							tokenizer_p.convert_ids_to_tokens(_UpperCAmelCase		)

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










from random import randint
from tempfile import TemporaryFile

import numpy as np







def 	_a      (						SCREAMING_SNAKE_CASE_							:				int      ,      SCREAMING_SNAKE_CASE_							:				str      ,      SCREAMING_SNAKE_CASE_							:				List[str]     ):
					__lowerCAmelCase				   =       0
					if start < end:
										__lowerCAmelCase				   =       randint(SCREAMING_SNAKE_CASE_      ,      SCREAMING_SNAKE_CASE_     )
										__lowerCAmelCase				   =       a[end]
										__lowerCAmelCase				   =       a[pivot]
										__lowerCAmelCase				   =       temp

										__lowerCAmelCase   ,							__lowerCAmelCase				   =       _in_place_partition(SCREAMING_SNAKE_CASE_      ,      SCREAMING_SNAKE_CASE_      ,      SCREAMING_SNAKE_CASE_     )
										count += _in_place_quick_sort(SCREAMING_SNAKE_CASE_      ,      SCREAMING_SNAKE_CASE_      ,      p - 1     )
										count += _in_place_quick_sort(SCREAMING_SNAKE_CASE_      ,      p + 1      ,      SCREAMING_SNAKE_CASE_     )
					return count







def 	_a      (						SCREAMING_SNAKE_CASE_							:				str      ,      SCREAMING_SNAKE_CASE_							:				List[Any]      ,      SCREAMING_SNAKE_CASE_							:				Optional[int]     ):
					__lowerCAmelCase				   =       0
					__lowerCAmelCase				   =       randint(SCREAMING_SNAKE_CASE_      ,      SCREAMING_SNAKE_CASE_     )
					__lowerCAmelCase				   =       a[end]
					__lowerCAmelCase				   =       a[pivot]
					__lowerCAmelCase				   =       temp
					__lowerCAmelCase				   =       start - 1
					for index in range(SCREAMING_SNAKE_CASE_      ,      SCREAMING_SNAKE_CASE_     ):
										count += 1
										if a[index] < a[end]:  # check if current val is less than pivot value
															__lowerCAmelCase				   =       new_pivot_index + 1
															__lowerCAmelCase				   =       a[new_pivot_index]
															__lowerCAmelCase				   =       a[index]
															__lowerCAmelCase				   =       temp

					__lowerCAmelCase				   =       a[new_pivot_index + 1]
					__lowerCAmelCase				   =       a[end]
					__lowerCAmelCase				   =       temp
					return new_pivot_index + 1, count


UpperCamelCase__    			=			TemporaryFile()
UpperCamelCase__    			=			100  # 1000 elements are to be sorted


UpperCamelCase__			,	UpperCamelCase__    			=			0, 1  # mean and standard deviation
UpperCamelCase__    			=			np.random.normal(mu, sigma, p)
np.save(outfile, X)
print("""The array is""")
print(X)


outfile.seek(0)  # using the same array
UpperCamelCase__    			=			np.load(outfile)
UpperCamelCase__    			=			len(M) - 1
UpperCamelCase__    			=			_in_place_quick_sort(M, 0, r)

print(
    """No of Comparisons for 100 elements selected from a standard normal distribution"""
    """is :"""
)


print(z)




