




import os
from shutil import copyfile
from typing import List, Optional, Tuple

import sentencepiece as spm

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


lowercase__				:     List[str] 		=						logging.get_logger(__name__)

lowercase__				:     Any 		=						{"vocab_file": "sentencepiece.model"}

lowercase__				:     str 		=						{
    "vocab_file": {
        "google/rembert": "https://huggingface.co/google/rembert/resolve/main/sentencepiece.model",
    },
}

lowercase__				:     Optional[int] 		=						{
    "google/rembert": 256,
}
class 		UpperCAmelCase   (				UpperCAmelCase__			):







						'''simple docstring'''





						lowerCAmelCase_     		=   VOCAB_FILES_NAMES
						lowerCAmelCase_     		=   PRETRAINED_VOCAB_FILES_MAP
						lowerCAmelCase_     		=   PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES






						def __init__(						self							:     Optional[Any]       ,	__lowercase							:     Optional[int]       ,	__lowercase							:     str=False       ,	__lowercase							:     List[Any]=True       ,	__lowercase							:     Optional[Any]=True       ,	__lowercase							:     Union[str, Any]="[CLS]"       ,	__lowercase							:     Optional[int]="[SEP]"       ,	__lowercase							:     Optional[Any]="[UNK]"       ,	__lowercase							:     Tuple="[SEP]"       ,	__lowercase							:     Optional[int]="[PAD]"       ,	__lowercase							:     Optional[Any]="[CLS]"       ,	__lowercase							:     int="[MASK]"       ,	**__lowercase							:     str       ,	):






							"""simple docstring"""






							super().__init__(
							    do_lower_case=__lowercase       ,	remove_space=__lowercase       ,	keep_accents=__lowercase       ,	bos_token=__lowercase       ,	eos_token=__lowercase       ,	unk_token=__lowercase       ,	sep_token=__lowercase       ,	pad_token=__lowercase       ,	cls_token=__lowercase       ,	mask_token=__lowercase       ,	**__lowercase       ,	)

							snake_case_		    =     do_lower_case
							snake_case_		    =     remove_space
							snake_case_		    =     keep_accents
							snake_case_		    =     vocab_file

							snake_case_		    =     spm.SentencePieceProcessor()
							self.sp_model.Load(__lowercase						)






						@property
						def        snake_case__						(						self							:     List[str]						):






							"""simple docstring"""






							return len(self.sp_model						)






						def        snake_case__						(						self							:     Tuple						):






							"""simple docstring"""






							snake_case_		    =     {self.convert_ids_to_tokens(__lowercase						): i for i in range(self.vocab_size						)}
							vocab.update(self.added_tokens_encoder						)
							return vocab






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






							"""simple docstring"""






							snake_case_		    =     self.__dict__.copy()
							snake_case_		    =     None
							return state






						def __setstate__(						self							:     Any       ,	__lowercase							:     str						):






							"""simple docstring"""






							snake_case_		    =     d
							snake_case_		    =     spm.SentencePieceProcessor()
							self.sp_model.Load(self.vocab_file						)






						def        snake_case__						(						self							:     List[str]       ,	__lowercase							:     Dict       ,	__lowercase							:     int=False						):






							"""simple docstring"""






							snake_case_		    =     self.sp_model.EncodeAsPieces(__lowercase						)
							return pieces






						def        snake_case__						(						self							:     List[str]       ,	__lowercase							:     Optional[Any]						):






							"""simple docstring"""






							return self.sp_model.PieceToId(__lowercase						)






						def        snake_case__						(						self							:     List[Any]       ,	__lowercase							:     List[str]						):






							"""simple docstring"""






							return self.sp_model.IdToPiece(__lowercase						)






						def        snake_case__						(						self							:     Any       ,	__lowercase							:     Any						):






							"""simple docstring"""






							snake_case_		    =     self.sp_model.decode_pieces(__lowercase						)
							return out_string






						def        snake_case__						(						self							:     List[str]       ,	__lowercase							:     List[int]       ,	__lowercase							:     Optional[List[int]] = None						):






							"""simple docstring"""






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






						def        snake_case__						(						self							:     Dict       ,	__lowercase							:     List[int]       ,	__lowercase							:     Optional[List[int]] = None       ,	__lowercase							:     bool = False						):






							"""simple docstring"""






							if already_has_special_tokens:
								if token_ids_a is not None:
									raise ValueError(
									    "You should not supply a second sequence if the provided sequence of "
									    "ids is already formatted with special tokens for the model."						)
								return [1 if x in [self.sep_token_id, self.cls_token_id] else 0 for x in token_ids_a]

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






						def        snake_case__						(						self							:     Any       ,	__lowercase							:     List[int]       ,	__lowercase							:     Optional[List[int]] = None						):






							"""simple docstring"""






							snake_case_		    =     [self.sep_token_id]
							snake_case_		    =     [self.cls_token_id]

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






						def        snake_case__						(						self							:     List[str]       ,	__lowercase							:     str       ,	__lowercase							:     Optional[str] = None						):






							"""simple docstring"""






							if not os.path.isdir(__lowercase						):
								logger.error("Vocabulary path ({}) should be a directory".format(__lowercase						)						)
								return
							snake_case_		    =     os.path.join(
							    __lowercase       ,	(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]						)

							if os.path.abspath(self.vocab_file						) != os.path.abspath(__lowercase						):
								copyfile(self.vocab_file       ,	__lowercase						)

							return (out_vocab_file,)






def 						lowerCamelCase__    (		_A     ,	_A							):







	'''simple docstring'''





	_enforce_args(_A     ,	_A							)
	if n == 0:
		return 0
	snake_case_		    =     float("-inf"							)
	for i in range(1     ,	n + 1							):
		snake_case_		    =     max(
		    _A     ,	prices[i - 1] + naive_cut_rod_recursive(n - i     ,	_A							)							)

	return max_revue


def 						lowerCamelCase__    (		_A     ,	_A							):







	'''simple docstring'''





	_enforce_args(_A     ,	_A							)
	snake_case_		    =     [float("-inf"							) for _ in range(n + 1							)]
	return _top_down_cut_rod_recursive(_A     ,	_A     ,	_A							)


def 						lowerCamelCase__    (		_A     ,	_A     ,	_A							):







	'''simple docstring'''





	if max_rev[n] >= 0:
		return max_rev[n]
	elif n == 0:
		return 0
	else:
		snake_case_		    =     float("-inf"							)
		for i in range(1     ,	n + 1							):
			snake_case_		    =     max(
			    _A     ,	prices[i - 1] + _top_down_cut_rod_recursive(n - i     ,	_A     ,	_A							)     ,	)

		snake_case_		    =     max_revenue

	return max_rev[n]


def 						lowerCamelCase__    (		_A     ,	_A							):







	'''simple docstring'''





	_enforce_args(_A     ,	_A							)

	# length(max_rev) = n + 1, to accommodate for the revenue obtainable from a rod of
	# length 0.
	snake_case_		    =     [float("-inf"							) for _ in range(n + 1							)]
	snake_case_		    =     0

	for i in range(1     ,	n + 1							):
		snake_case_		    =     max_rev[i]
		for j in range(1     ,	i + 1							):
			snake_case_		    =     max(_A     ,	prices[j - 1] + max_rev[i - j]							)

		snake_case_		    =     max_revenue_i

	return max_rev[n]


def 						lowerCamelCase__    (		_A     ,	_A							):







	'''simple docstring'''





	if n < 0:
		snake_case_		    =     f"n must be greater than or equal to 0. Got n = {n}"
		raise ValueError(_A							)

	if n > len(_A							):
		snake_case_		    =     (
		    "Each integral piece of rod must have a corresponding price. "
		    f"Got n = {n} but length of prices = {len(_A							)}"
		)
		raise ValueError(_A							)


def 						lowerCamelCase__    (		):







	'''simple docstring'''





	snake_case_		    =     [6, 10, 12, 15, 20, 23]
	snake_case_		    =     len(_A							)

	# the best revenue comes from cutting the rod into 6 pieces, each
	# of length 1 resulting in a revenue of 6 * 6 = 36.
	snake_case_		    =     36

	snake_case_		    =     top_down_cut_rod(_A     ,	_A							)
	snake_case_		    =     bottom_up_cut_rod(_A     ,	_A							)
	snake_case_		    =     naive_cut_rod_recursive(_A     ,	_A							)

	assert expected_max_revenue == max_rev_top_down
	assert max_rev_top_down == max_rev_bottom_up
	assert max_rev_bottom_up == max_rev_naive


if __name__ == "__main__":
		main()
