



'''simple docstring'''

import os
import unicodedata
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple

import sentencepiece as spm

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import SPIECE_UNDERLINE, logging


_A				:    Any     						=logging.get_logger(__name__)

_A				:    Dict     						={'''vocab_file''': '''spiece.model'''}

_A				:    Union[str, Any]     						={
    '''vocab_file''': {
        '''xlnet-base-cased''': '''https://huggingface.co/xlnet-base-cased/resolve/main/spiece.model''',
        '''xlnet-large-cased''': '''https://huggingface.co/xlnet-large-cased/resolve/main/spiece.model''',
    }
}

_A				:    Tuple     						={
    '''xlnet-base-cased''': None,
    '''xlnet-large-cased''': None,
}

# Segments (not really needed)
_A				:    List[str]     						=0
_A				:    List[str]     						=1
_A				:    List[str]     						=2
_A				:    Tuple     						=3
_A				:    Optional[int]     						=4



class 		lowerCamelCase__      (						A     ):




					'''simple docstring'''



					A_						    =						VOCAB_FILES_NAMES
					A_						    =						PRETRAINED_VOCAB_FILES_MAP
					A_						    =						PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
					A_						    =						"""left"""




					def __init__(  self				:	Dict     ,  UpperCamelCase_				:	List[Any]     ,  UpperCamelCase_				:	Dict=False     ,  UpperCamelCase_				:	int=True     ,  UpperCamelCase_				:	List[Any]=False     ,  UpperCamelCase_				:	List[str]="<s>"     ,  UpperCamelCase_				:	List[Any]="</s>"     ,  UpperCamelCase_				:	Optional[Any]="<unk>"     ,  UpperCamelCase_				:	int="<sep>"     ,  UpperCamelCase_				:	int="<pad>"     ,  UpperCamelCase_				:	Optional[int]="<cls>"     ,  UpperCamelCase_				:	int="<mask>"     ,  UpperCamelCase_				:	Optional[int]=["<eop>", "<eod>"]     ,  UpperCamelCase_				:	Optional[Dict[str, Any]] = None     ,  **UpperCamelCase_				:	List[Any]     ,  )  ->       None:



						'''simple docstring'''





						_lowercase					:       Tuple       =		AddedToken(UpperCamelCase_     ,  lstrip=UpperCamelCase_     ,  rstrip=UpperCamelCase_					) if isinstance(UpperCamelCase_     ,  UpperCamelCase_					) else mask_token

						_lowercase					:       Any       =		{} if sp_model_kwargs is None else sp_model_kwargs

						super().__init__(
						    do_lower_case=UpperCamelCase_     ,  remove_space=UpperCamelCase_     ,  keep_accents=UpperCamelCase_     ,  bos_token=UpperCamelCase_     ,  eos_token=UpperCamelCase_     ,  unk_token=UpperCamelCase_     ,  sep_token=UpperCamelCase_     ,  pad_token=UpperCamelCase_     ,  cls_token=UpperCamelCase_     ,  mask_token=UpperCamelCase_     ,  additional_special_tokens=UpperCamelCase_     ,  sp_model_kwargs=self.sp_model_kwargs     ,  **UpperCamelCase_     ,  )

						_lowercase					:       List[Any]       =		3

						_lowercase					:       List[str]       =		do_lower_case
						_lowercase					:       List[Any]       =		remove_space
						_lowercase					:       Union[str, Any]       =		keep_accents
						_lowercase					:       Optional[Any]       =		vocab_file

						_lowercase					:       Tuple       =		spm.SentencePieceProcessor(**self.sp_model_kwargs					)
						self.sp_model.Load(UpperCamelCase_					)




					@property
					def 						__UpperCAmelCase     (  self				:	List[Any]					)  ->       Dict:



						'''simple docstring'''





						return len(self.sp_model					)




					def 						__UpperCAmelCase     (  self				:	Union[str, Any]					)  ->       Optional[Any]:



						'''simple docstring'''





						_lowercase					:       Tuple       =		{self.convert_ids_to_tokens(UpperCamelCase_					): i for i in range(self.vocab_size					)}
						vocab.update(self.added_tokens_encoder					)
						return vocab




					def __getstate__(  self				:	List[str]					)  ->       Union[str, Any]:



						'''simple docstring'''





						_lowercase					:       int       =		self.__dict__.copy()
						_lowercase					:       Optional[int]       =		None
						return state




					def __setstate__(  self				:	List[Any]     ,  UpperCamelCase_				:	Tuple					)  ->       List[str]:



						'''simple docstring'''





						_lowercase					:       Optional[int]       =		d

						# for backward compatibility
						if not hasattr(self     ,  'sp_model_kwargs'					):
							_lowercase					:       int       =		{}

						_lowercase					:       Any       =		spm.SentencePieceProcessor(**self.sp_model_kwargs					)
						self.sp_model.Load(self.vocab_file					)




					def 						__UpperCAmelCase     (  self				:	Dict     ,  UpperCamelCase_				:	Union[str, Any]					)  ->       int:



						'''simple docstring'''





						if self.remove_space:
							_lowercase					:       Optional[int]       =		' '.join(inputs.strip().split()					)
						else:
							_lowercase					:       List[str]       =		inputs
						_lowercase					:       int       =		outputs.replace('``'     ,  '"'					).replace('\'\''     ,  '"'					)

						if not self.keep_accents:
							_lowercase					:       Tuple       =		unicodedata.normalize('NFKD'     ,  UpperCamelCase_					)
							_lowercase					:       Any       =		''.join([c for c in outputs if not unicodedata.combining(UpperCamelCase_					)]					)
						if self.do_lower_case:
							_lowercase					:       int       =		outputs.lower()

						return outputs




					def 						__UpperCAmelCase     (  self				:	Optional[Any]     ,  UpperCamelCase_				:	str					)  ->       List[str]:



						'''simple docstring'''





						_lowercase					:       Tuple       =		self.preprocess_text(UpperCamelCase_					)
						_lowercase					:       Dict       =		self.sp_model.encode(UpperCamelCase_     ,  out_type=UpperCamelCase_					)
						_lowercase					:       List[Any]       =		[]
						for piece in pieces:
							if len(UpperCamelCase_					) > 1 and piece[-1] == str(','					) and piece[-2].isdigit():
								_lowercase					:       int       =		self.sp_model.EncodeAsPieces(piece[:-1].replace(UpperCamelCase_     ,  ''					)					)
								if piece[0] != SPIECE_UNDERLINE and cur_pieces[0][0] == SPIECE_UNDERLINE:
									if len(cur_pieces[0]					) == 1:
										_lowercase					:       Optional[int]       =		cur_pieces[1:]
									else:
										_lowercase					:       Tuple       =		cur_pieces[0][1:]
								cur_pieces.append(piece[-1]					)
								new_pieces.extend(UpperCamelCase_					)
							else:
								new_pieces.append(UpperCamelCase_					)

						return new_pieces




					def 						__UpperCAmelCase     (  self				:	Union[str, Any]     ,  UpperCamelCase_				:	Optional[Any]					)  ->       int:



						'''simple docstring'''





						return self.sp_model.PieceToId(UpperCamelCase_					)




					def 						__UpperCAmelCase     (  self				:	List[Any]     ,  UpperCamelCase_				:	Optional[Any]					)  ->       Union[str, Any]:



						'''simple docstring'''





						return self.sp_model.IdToPiece(UpperCamelCase_					)




					def 						__UpperCAmelCase     (  self				:	int     ,  UpperCamelCase_				:	Any					)  ->       List[str]:



						'''simple docstring'''





						_lowercase					:       List[Any]       =		''.join(UpperCamelCase_					).replace(UpperCamelCase_     ,  ' '					).strip()
						return out_string




					def 						__UpperCAmelCase     (  self				:	Any     ,  UpperCamelCase_				:	List[int]     ,  UpperCamelCase_				:	bool = False     ,  UpperCamelCase_				:	bool = None     ,  UpperCamelCase_				:	bool = True     ,  **UpperCamelCase_				:	Union[str, Any]     ,  )  ->       str:



						'''simple docstring'''





						_lowercase					:       Union[str, Any]       =		kwargs.pop('use_source_tokenizer'     ,  UpperCamelCase_					)

						_lowercase					:       int       =		self.convert_ids_to_tokens(UpperCamelCase_     ,  skip_special_tokens=UpperCamelCase_					)

						# To avoid mixing byte-level and unicode for byte-level BPT
						# we need to build string separately for added tokens and byte-level tokens
						# cf. https://github.com/huggingface/transformers/issues/1133
						_lowercase					:       List[Any]       =		[]
						_lowercase					:       int       =		[]
						for token in filtered_tokens:
							if skip_special_tokens and token in self.all_special_ids:
								continue
							if token in self.added_tokens_encoder:
								if current_sub_text:
									sub_texts.append(self.convert_tokens_to_string(UpperCamelCase_					)					)
									_lowercase					:       Optional[int]       =		[]
								sub_texts.append(UpperCamelCase_					)
							else:
								current_sub_text.append(UpperCamelCase_					)
						if current_sub_text:
							sub_texts.append(self.convert_tokens_to_string(UpperCamelCase_					)					)

						# Mimic the behavior of the Rust tokenizer:
						# By default, there are no spaces between special tokens
						_lowercase					:       Tuple       =		''.join(UpperCamelCase_					)

						_lowercase					:       int       =		(
						    clean_up_tokenization_spaces
						    if clean_up_tokenization_spaces is not None
						    else self.clean_up_tokenization_spaces
						)
						if clean_up_tokenization_spaces:
							_lowercase					:       List[str]       =		self.clean_up_tokenization(UpperCamelCase_					)
							return clean_text
						else:
							return text




					def 						__UpperCAmelCase     (  self				:	List[str]     ,  UpperCamelCase_				:	List[int]     ,  UpperCamelCase_				:	Optional[List[int]] = None					)  ->       List[int]:



						'''simple docstring'''





						_lowercase					:       Any       =		[self.sep_token_id]
						_lowercase					:       List[Any]       =		[self.cls_token_id]
						if token_ids_a is None:
							return token_ids_a + sep + cls
						return token_ids_a + sep + token_ids_a + sep + cls




					def 						__UpperCAmelCase     (  self				:	Optional[Any]     ,  UpperCamelCase_				:	List[int]     ,  UpperCamelCase_				:	Optional[List[int]] = None     ,  UpperCamelCase_				:	bool = False					)  ->       List[int]:



						'''simple docstring'''





						if already_has_special_tokens:
							return super().get_special_tokens_mask(
							    token_ids_a=UpperCamelCase_     ,  token_ids_a=UpperCamelCase_     ,  already_has_special_tokens=UpperCamelCase_					)

						if token_ids_a is not None:
							return ([0] * len(UpperCamelCase_					)) + [1] + ([0] * len(UpperCamelCase_					)) + [1, 1]
						return ([0] * len(UpperCamelCase_					)) + [1, 1]




					def 						__UpperCAmelCase     (  self				:	List[str]     ,  UpperCamelCase_				:	List[int]     ,  UpperCamelCase_				:	Optional[List[int]] = None					)  ->       List[int]:



						'''simple docstring'''





						_lowercase					:       Union[str, Any]       =		[self.sep_token_id]
						_lowercase					:       Union[str, Any]       =		[2]

						if token_ids_a is None:
							return len(token_ids_a + sep					) * [0] + cls_segment_id
						return len(token_ids_a + sep					) * [0] + len(token_ids_a + sep					) * [1] + cls_segment_id




					def 						__UpperCAmelCase     (  self				:	Union[str, Any]     ,  UpperCamelCase_				:	str     ,  UpperCamelCase_				:	Optional[str] = None					)  ->       Tuple[str]:



						'''simple docstring'''





						if not os.path.isdir(UpperCamelCase_					):
							logger.error(F'''Vocabulary path ({save_directory}) should be a directory'''					)
							return
						_lowercase					:       List[Any]       =		os.path.join(
						    UpperCamelCase_     ,  (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']					)

						if os.path.abspath(self.vocab_file					) != os.path.abspath(UpperCamelCase_					) and os.path.isfile(self.vocab_file					):
							copyfile(self.vocab_file     ,  UpperCamelCase_					)
						elif not os.path.isfile(self.vocab_file					):
							with open(UpperCamelCase_     ,  'wb'					) as fi:
								_lowercase					:       List[Any]       =		self.sp_model.serialized_model_proto()
								fi.write(UpperCamelCase_					)

						return (out_vocab_file,)





'''simple docstring'''

import unittest

from knapsack import greedy_knapsack as kp



class 		lowerCamelCase__      (						unittest.TestCase     ):




					'''simple docstring'''



					def 						__UpperCAmelCase     (  self				:	int					)  ->       Any:



						'''simple docstring'''





						_lowercase					:       List[Any]       =		[10, 20, 30, 40, 50, 60]
						_lowercase					:       Tuple       =		[2, 4, 6, 8, 10, 12]
						_lowercase					:       Optional[Any]       =		100
						self.assertEqual(kp.calc_profit(UpperCamelCase_     ,  UpperCamelCase_     ,  UpperCamelCase_					)     ,  210					)




					def 						__UpperCAmelCase     (  self				:	int					)  ->       int:



						'''simple docstring'''





						self.assertRaisesRegex(UpperCamelCase_     ,  'max_weight must greater than zero.'					)




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



						'''simple docstring'''





						self.assertRaisesRegex(UpperCamelCase_     ,  'Weight can not be negative.'					)




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



						'''simple docstring'''





						self.assertRaisesRegex(UpperCamelCase_     ,  'Profit can not be negative.'					)




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



						'''simple docstring'''





						self.assertRaisesRegex(UpperCamelCase_     ,  'max_weight must greater than zero.'					)




					def 						__UpperCAmelCase     (  self				:	int					)  ->       List[Any]:



						'''simple docstring'''





						self.assertRaisesRegex(
						    UpperCamelCase_     ,  'The length of profit and weight must be same.'					)


if __name__ == "__main__":
		unittest.main()
