
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 	A__   (						SCREAMING_SNAKE_CASE__    ,						unittest.TestCase				):
							lowerCAmelCase__		:						Optional[Any]    			=							RoCBertTokenizer
							lowerCAmelCase__		:						str    			=							None
							lowerCAmelCase__		:						str    			=							False
							lowerCAmelCase__		:						List[Any]    			=							True
							lowerCAmelCase__		:						Any    			=							filter_non_english





							def 			a__ ( self  :   int				)						->		Union[str, Any]:



											"""simple docstring"""


											super().setUp()

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





							def 			a__ ( self  :   int				)						->		int:



											"""simple docstring"""


											__lowercase								=					self.tokenizer_class(self.vocab_file     , self.word_shape_file     , self.word_pronunciation_file				)

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





							def 			a__ ( self  :   List[str]				)						->		Optional[Any]:



											"""simple docstring"""


											__lowercase								=					RoCBertBasicTokenizer()

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





							def 			a__ ( self  :   List[Any]				)						->		List[str]:



											"""simple docstring"""


											__lowercase								=					RoCBertBasicTokenizer(do_lower_case=lowerCamelCase__				)

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





							def 			a__ ( self  :   str				)						->		Optional[int]:



											"""simple docstring"""


											__lowercase								=					RoCBertBasicTokenizer(do_lower_case=lowerCamelCase__     , strip_accents=lowerCamelCase__				)

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





							def 			a__ ( self  :   Dict				)						->		Union[str, Any]:



											"""simple docstring"""


											__lowercase								=					RoCBertBasicTokenizer(do_lower_case=lowerCamelCase__     , strip_accents=lowerCamelCase__				)

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





							def 			a__ ( self  :   Optional[int]				)						->		Any:



											"""simple docstring"""


											__lowercase								=					RoCBertBasicTokenizer(do_lower_case=lowerCamelCase__				)

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





							def 			a__ ( self  :   Any				)						->		Any:



											"""simple docstring"""


											__lowercase								=					RoCBertBasicTokenizer(do_lower_case=lowerCamelCase__				)

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





							def 			a__ ( self  :   Optional[Any]				)						->		Optional[Any]:



											"""simple docstring"""


											__lowercase								=					RoCBertBasicTokenizer(do_lower_case=lowerCamelCase__     , strip_accents=lowerCamelCase__				)

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





							def 			a__ ( self  :   Tuple				)						->		Tuple:



											"""simple docstring"""


											__lowercase								=					RoCBertBasicTokenizer(do_lower_case=lowerCamelCase__     , strip_accents=lowerCamelCase__				)

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





							def 			a__ ( self  :   Optional[int]				)						->		List[str]:



											"""simple docstring"""


											__lowercase								=					RoCBertBasicTokenizer(do_lower_case=lowerCamelCase__     , never_split=['[UNK]']				)

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





							def 			a__ ( self  :   Optional[Any]				)						->		Dict:



											"""simple docstring"""


											__lowercase								=					["""[UNK]""", """[CLS]""", """[SEP]""", """want""", """##want""", """##ed""", """wa""", """un""", """runn""", """##ing"""]

											__lowercase								=					{}
											for i, token in enumerate(lowerCamelCase__				):
															__lowercase								=					i
											__lowercase								=					RoCBertWordpieceTokenizer(vocab=lowerCamelCase__     , 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  :   str				)						->		Tuple:



											"""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  :   Any				)						->		Dict:



											"""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  :   Union[str, Any]				)						->		List[Any]:



											"""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  :   List[Any]				)						->		Optional[Any]:



											"""simple docstring"""


											__lowercase								=					self.get_tokenizer()

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

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





							def 			a__ ( self  :   int				)						->		Any:



											"""simple docstring"""


											for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
															with self.subTest(f"""{tokenizer.__class__.__name__} ({pretrained_name})"""				):
																			__lowercase								=					self.rust_tokenizer_class.from_pretrained(lowerCamelCase__     , **lowerCamelCase__				)

																			__lowercase								=					f"""A, naïve {tokenizer_r.mask_token} AllenNLP sentence."""
																			__lowercase								=					tokenizer_r.encode_plus(
																			    lowerCamelCase__     , return_attention_mask=lowerCamelCase__     , return_token_type_ids=lowerCamelCase__     , return_offsets_mapping=lowerCamelCase__     , add_special_tokens=lowerCamelCase__     , )

																			__lowercase								=					tokenizer_r.do_lower_case if hasattr(lowerCamelCase__     , 'do_lower_case'				) else False
																			__lowercase								=					(
																			    [
																			        ((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  :   Dict				)						->		str:



											"""simple docstring"""


											__lowercase								=					["""的""", """人""", """有"""]
											__lowercase								=					"""""".join(lowerCamelCase__				)
											for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
															with self.subTest(f"""{tokenizer.__class__.__name__} ({pretrained_name})"""				):
																			__lowercase								=					True
																			__lowercase								=					self.tokenizer_class.from_pretrained(lowerCamelCase__     , **lowerCamelCase__				)
																			__lowercase								=					self.rust_tokenizer_class.from_pretrained(lowerCamelCase__     , **lowerCamelCase__				)

																			__lowercase								=					tokenizer_p.encode(lowerCamelCase__     , add_special_tokens=lowerCamelCase__				)
																			__lowercase								=					tokenizer_r.encode(lowerCamelCase__     , add_special_tokens=lowerCamelCase__				)

																			__lowercase								=					tokenizer_r.convert_ids_to_tokens(lowerCamelCase__				)
																			__lowercase								=					tokenizer_p.convert_ids_to_tokens(lowerCamelCase__				)

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

																			__lowercase								=					False
																			__lowercase								=					self.rust_tokenizer_class.from_pretrained(lowerCamelCase__     , **lowerCamelCase__				)
																			__lowercase								=					self.tokenizer_class.from_pretrained(lowerCamelCase__     , **lowerCamelCase__				)

																			__lowercase								=					tokenizer_r.encode(lowerCamelCase__     , add_special_tokens=lowerCamelCase__				)
																			__lowercase								=					tokenizer_p.encode(lowerCamelCase__     , add_special_tokens=lowerCamelCase__				)

																			__lowercase								=					tokenizer_r.convert_ids_to_tokens(lowerCamelCase__				)
																			__lowercase								=					tokenizer_p.convert_ids_to_tokens(lowerCamelCase__				)

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





							@slow
							def 			a__ ( self  :   Optional[int]				)						->		Optional[Any]:



											"""simple docstring"""


											__lowercase								=					self.tokenizer_class(self.vocab_file     , self.word_shape_file     , self.word_pronunciation_file				)

											__lowercase								=					tokenizer.encode('你好'     , add_special_tokens=lowerCamelCase__				)
											__lowercase								=					tokenizer.encode('你是谁'     , add_special_tokens=lowerCamelCase__				)

											__lowercase								=					tokenizer.build_inputs_with_special_tokens(lowerCamelCase__				)
											__lowercase								=					tokenizer.build_inputs_with_special_tokens(lowerCamelCase__     , lowerCamelCase__				)

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





							def 			a__ ( self  :   Dict				)						->		List[str]:



											"""simple docstring"""


											__lowercase								=					self.get_tokenizers(do_lower_case=lowerCamelCase__				)
											for tokenizer in tokenizers:
															with self.subTest(f"""{tokenizer.__class__.__name__}"""				):
																			__lowercase								=					"""你好，你是谁"""
																			__lowercase								=					tokenizer.tokenize(lowerCamelCase__				)
																			__lowercase								=					tokenizer.convert_tokens_to_ids(lowerCamelCase__				)
																			__lowercase								=					tokenizer.convert_tokens_to_shape_ids(lowerCamelCase__				)
																			__lowercase								=					tokenizer.convert_tokens_to_pronunciation_ids(lowerCamelCase__				)
																			__lowercase								=					tokenizer.prepare_for_model(
																			    lowerCamelCase__     , lowerCamelCase__     , lowerCamelCase__     , add_special_tokens=lowerCamelCase__				)

																			__lowercase								=					tokenizer.encode_plus(lowerCamelCase__     , add_special_tokens=lowerCamelCase__				)

																			self.assertEqual(lowerCamelCase__     , lowerCamelCase__				)










from __future__ import annotations

from math import ceil, floor, sqrt




def 	__UpperCamelCase	(  _lowerCAmelCase = 200_0000		)       ->  int:



    """simple docstring"""






    A :       list[int]          =   [0]
    A :       int

    for idx in range(1      ,     ceil(sqrt(target * 2		) * 1.1		)		):
        triangle_numbers.append(triangle_numbers[-1] + idx		)

    # we want this to be as close as possible to target
    A :       int          =   0
    # the area corresponding to the grid that gives the product closest to target
    A :       int          =   0
    # an estimate of b, using the quadratic formula
    A :       float
    # the largest integer less than b_estimate
    A :       int
    # the largest integer less than b_estimate
    A :       int
    # the triangle number corresponding to b_floor
    A :       int
    # the triangle number corresponding to b_ceil
    A :       int

    for idx_a, triangle_a in enumerate(triangle_numbers[1:]      ,     1		):
        A :       Union[str, Any]          =   (-1 + sqrt(1 + 8 * target / triangle_a		)) / 2
        A :       List[Any]          =   floor(_lowerCAmelCase		)
        A :       Tuple          =   ceil(_lowerCAmelCase		)
        A :       int          =   triangle_numbers[b_floor]
        A :       Dict          =   triangle_numbers[b_ceil]

        if abs(target - triangle_b_first_guess * triangle_a		) < abs(
            target - best_product		):
            A :       Optional[int]          =   triangle_b_first_guess * triangle_a
            A :       Optional[int]          =   idx_a * b_floor

        if abs(target - triangle_b_second_guess * triangle_a		) < abs(
            target - best_product		):
            A :       Tuple          =   triangle_b_second_guess * triangle_a
            A :       Tuple          =   idx_a * b_ceil

    return area


if __name__ == "__main__":
     print(F"""{solution() = }""")


