"""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		:							str							       =		RoCBertTokenizer
						_A		:							Any							       =		None
						_A		:							Optional[int]							       =		False
						_A		:							Optional[Any]							       =		True
						_A		:							Tuple							       =		filter_non_english







						def 						__UpperCamelCase							(self       ):
											super().setUp()

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







						def 						__UpperCamelCase							(self       ):
											snake_case_					:		Dict 					=					self.tokenizer_class(self.vocab_file   ,		self.word_shape_file   ,		self.word_pronunciation_file       )

											snake_case_					:		List[Any] 					=					tokenizer.tokenize("""你好[SEP]你是谁"""       )
											self.assertListEqual(lowercase__   ,		["""你""", """好""", """[SEP]""", """你""", """是""", """谁"""]       )
											self.assertListEqual(tokenizer.convert_tokens_to_ids(lowercase__       )   ,		[5, 6, 2, 5, 7, 8]       )
											self.assertListEqual(tokenizer.convert_tokens_to_shape_ids(lowercase__       )   ,		[5, 6, 2, 5, 7, 8]       )
											self.assertListEqual(tokenizer.convert_tokens_to_pronunciation_ids(lowercase__       )   ,		[5, 6, 2, 5, 7, 8]       )







						def 						__UpperCamelCase							(self       ):
											snake_case_					:		Dict 					=					RoCBertBasicTokenizer()

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







						def 						__UpperCamelCase							(self       ):
											snake_case_					:		str 					=					RoCBertBasicTokenizer(do_lower_case=lowercase__       )

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







						def 						__UpperCamelCase							(self       ):
											snake_case_					:		List[str] 					=					RoCBertBasicTokenizer(do_lower_case=lowercase__   ,		strip_accents=lowercase__       )

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







						def 						__UpperCamelCase							(self       ):
											snake_case_					:		str 					=					RoCBertBasicTokenizer(do_lower_case=lowercase__   ,		strip_accents=lowercase__       )

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







						def 						__UpperCamelCase							(self       ):
											snake_case_					:		List[str] 					=					RoCBertBasicTokenizer(do_lower_case=lowercase__       )

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







						def 						__UpperCamelCase							(self       ):
											snake_case_					:		List[str] 					=					RoCBertBasicTokenizer(do_lower_case=lowercase__       )

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







						def 						__UpperCamelCase							(self       ):
											snake_case_					:		Optional[Any] 					=					RoCBertBasicTokenizer(do_lower_case=lowercase__   ,		strip_accents=lowercase__       )

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







						def 						__UpperCamelCase							(self       ):
											snake_case_					:		Any 					=					RoCBertBasicTokenizer(do_lower_case=lowercase__   ,		strip_accents=lowercase__       )

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







						def 						__UpperCamelCase							(self       ):
											snake_case_					:		Dict 					=					RoCBertBasicTokenizer(do_lower_case=lowercase__   ,		never_split=["""[UNK]"""]       )

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







						def 						__UpperCamelCase							(self       ):
											snake_case_					:		List[Any] 					=					["""[UNK]""", """[CLS]""", """[SEP]""", """want""", """##want""", """##ed""", """wa""", """un""", """runn""", """##ing"""]

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

											# Example taken from the issue https://github.com/huggingface/tokenizers/issues/340
											self.assertListEqual([tokenizer.tokenize(lowercase__       ) for t in ["""Test""", """\xad""", """test"""]]   ,		[["""[UNK]"""], [], ["""[UNK]"""]]       )

											if self.test_rust_tokenizer:
																snake_case_					:		List[str] 					=					self.get_rust_tokenizer()
																self.assertListEqual(
																    [rust_tokenizer.tokenize(lowercase__       ) for t in ["""Test""", """\xad""", """test"""]]   ,		[["""[UNK]"""], [], ["""[UNK]"""]]       )







						def 						__UpperCamelCase							(self       ):

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

																					snake_case_					:		List[str] 					=					f'A, naïve {tokenizer_r.mask_token} AllenNLP sentence.'
																					snake_case_					:		Union[str, Any] 					=					tokenizer_r.encode_plus(
																					    lowercase__   ,		return_attention_mask=lowercase__   ,		return_token_type_ids=lowercase__   ,		return_offsets_mapping=lowercase__   ,		add_special_tokens=lowercase__   ,		)

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

																					snake_case_					:		Any 					=					tokenizer_p.encode(lowercase__   ,		add_special_tokens=lowercase__       )
																					snake_case_					:		Tuple 					=					tokenizer_r.encode(lowercase__   ,		add_special_tokens=lowercase__       )

																					snake_case_					:		Any 					=					tokenizer_r.convert_ids_to_tokens(lowercase__       )
																					snake_case_					:		Dict 					=					tokenizer_p.convert_ids_to_tokens(lowercase__       )

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

																					snake_case_					:		Dict 					=					False
																					snake_case_					:		int 					=					self.rust_tokenizer_class.from_pretrained(lowercase__   ,		**lowercase__       )
																					snake_case_					:		Optional[int] 					=					self.tokenizer_class.from_pretrained(lowercase__   ,		**lowercase__       )

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

																					snake_case_					:		int 					=					tokenizer_r.convert_ids_to_tokens(lowercase__       )
																					snake_case_					:		Tuple 					=					tokenizer_p.convert_ids_to_tokens(lowercase__       )

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







						@slow
						def 						__UpperCamelCase							(self       ):
											snake_case_					:		Optional[int] 					=					self.tokenizer_class(self.vocab_file   ,		self.word_shape_file   ,		self.word_pronunciation_file       )

											snake_case_					:		str 					=					tokenizer.encode("""你好"""   ,		add_special_tokens=lowercase__       )
											snake_case_					:		str 					=					tokenizer.encode("""你是谁"""   ,		add_special_tokens=lowercase__       )

											snake_case_					:		Optional[int] 					=					tokenizer.build_inputs_with_special_tokens(lowercase__       )
											snake_case_					:		Any 					=					tokenizer.build_inputs_with_special_tokens(lowercase__   ,		lowercase__       )

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







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

																					snake_case_					:		Any 					=					tokenizer.encode_plus(lowercase__   ,		add_special_tokens=lowercase__       )

																					self.assertEqual(lowercase__   ,		lowercase__       )









"""simple docstring"""

from random import randint
from tempfile import TemporaryFile

import numpy as np







def 							SCREAMING_SNAKE_CASE__      (		SCREAMING_SNAKE_CASE__ :  List[Any]				,    SCREAMING_SNAKE_CASE__ :  Dict				,    SCREAMING_SNAKE_CASE__ :  Optional[int]			):



					"""simple docstring"""





					snake_case_					:		Union[str, Any] 					=					0
					if start < end:
										snake_case_					:		Union[str, Any] 					=					randint(SCREAMING_SNAKE_CASE__				,    SCREAMING_SNAKE_CASE__			)
										snake_case_					:		List[Any] 					=					a[end]
										snake_case_					:		Dict 					=					a[pivot]
										snake_case_					:		Any 					=					temp

										snake_case_					,			snake_case_					:		Dict 					=					_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 							SCREAMING_SNAKE_CASE__      (		SCREAMING_SNAKE_CASE__ :  int				,    SCREAMING_SNAKE_CASE__ :  List[Any]				,    SCREAMING_SNAKE_CASE__ :  Dict			):



					"""simple docstring"""





					snake_case_					:		Tuple 					=					0
					snake_case_					:		List[Any] 					=					randint(SCREAMING_SNAKE_CASE__				,    SCREAMING_SNAKE_CASE__			)
					snake_case_					:		Dict 					=					a[end]
					snake_case_					:		List[Any] 					=					a[pivot]
					snake_case_					:		Optional[Any] 					=					temp
					snake_case_					:		List[str] 					=					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
															snake_case_					:		Any 					=					new_pivot_index + 1
															snake_case_					:		Tuple 					=					a[new_pivot_index]
															snake_case_					:		Optional[int] 					=					a[index]
															snake_case_					:		Tuple 					=					temp

					snake_case_					:		Union[str, Any] 					=					a[new_pivot_index + 1]
					snake_case_					:		Union[str, Any] 					=					a[end]
					snake_case_					:		Union[str, Any] 					=					temp
					return new_pivot_index + 1, count


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


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


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

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


print(z)




