



import io
import os
import unicodedata
from typing import Any, Dict, List, Optional, Tuple

import sentencepiece as spm

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


lowerCAmelCase__       =  logging.get_logger(__name__)

lowerCAmelCase__       =  '''▁'''

lowerCAmelCase__       =  {'''vocab_file''': '''vocab.txt''', '''sentencepiece_model_ckpt''': '''sentencepiece.bpe.model'''}

lowerCAmelCase__       =  {
    '''sentencepiece_model_file''': '''sentencepiece.bpe.model''',
    '''vocab_file''': '''vocab.txt''',
}

lowerCAmelCase__       =  {
    '''vocab_file''': {
        '''ernie-m-base''': '''https://huggingface.co/susnato/ernie-m-base_pytorch/blob/main/vocab.txt''',
        '''ernie-m-large''': '''https://huggingface.co/susnato/ernie-m-base_pytorch/blob/main/vocab.txt''',
    },
    '''sentencepiece_model_file''': {
        '''ernie-m-base''': '''https://huggingface.co/susnato/ernie-m-base_pytorch/blob/main/sentencepiece.bpe.model''',
        '''ernie-m-large''': '''https://huggingface.co/susnato/ernie-m-base_pytorch/blob/main/sentencepiece.bpe.model''',
    },
}

lowerCAmelCase__       =  {
    '''ernie-m-base''': 5_1_4,
    '''ernie-m-large''': 5_1_4,
}

lowerCAmelCase__       =  {
    '''ernie-m-base''': {'''do_lower_case''': False},
    '''ernie-m-large''': {'''do_lower_case''': False},
}

class       snake_case__(_a			):

					"""simple docstring"""






					lowercase_								=		["input_ids"]

					lowercase_								=		VOCAB_FILES_NAMES
					lowercase_								=		PRETRAINED_INIT_CONFIGURATION
					lowercase_								=		PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
					lowercase_								=		PRETRAINED_VOCAB_FILES_MAP
					lowercase_								=		RESOURCE_FILES_NAMES







					def __init__(							self					:	int      ,   SCREAMING_SNAKE_CASE					:	Union[str, Any]      ,   SCREAMING_SNAKE_CASE					:	int=None      ,   SCREAMING_SNAKE_CASE					:	Union[str, Any]=False      ,   SCREAMING_SNAKE_CASE					:	Tuple="utf8"      ,   SCREAMING_SNAKE_CASE					:	List[str]="[UNK]"      ,   SCREAMING_SNAKE_CASE					:	Dict="[SEP]"      ,   SCREAMING_SNAKE_CASE					:	Any="[PAD]"      ,   SCREAMING_SNAKE_CASE					:	str="[CLS]"      ,   SCREAMING_SNAKE_CASE					:	Optional[Any]="[MASK]"      ,   SCREAMING_SNAKE_CASE					:	Optional[Dict[str, Any]] = None      ,   **SCREAMING_SNAKE_CASE					:	Dict      ,   ):
									# Mask token behave like a normal word, i.e. include the space before it and
									# is included in the raw text, there should be a match in a non-normalized sentence.

									lowercase__     :    Optional[Any]													=     {} if sp_model_kwargs is None else sp_model_kwargs
									super().__init__(
									    do_lower_case=__UpperCAmelCase      ,   unk_token=__UpperCAmelCase      ,   sep_token=__UpperCAmelCase      ,   pad_token=__UpperCAmelCase      ,   cls_token=__UpperCAmelCase      ,   mask_token=__UpperCAmelCase      ,   vocab_file=__UpperCAmelCase      ,   encoding=__UpperCAmelCase      ,   sp_model_kwargs=self.sp_model_kwargs      ,   **__UpperCAmelCase      ,   )
									lowercase__     :    str													=     do_lower_case
									lowercase__     :    Dict													=     sentencepiece_model_ckpt
									lowercase__     :    Tuple													=     spm.SentencePieceProcessor(**self.sp_model_kwargs     )
									self.sp_model.Load(__UpperCAmelCase     )

									# to mimic paddlenlp.transformers.ernie_m.tokenizer.ErnieMTokenizer functioning
									if vocab_file is not None:
													lowercase__     :    Any													=     self.load_vocab(filepath=__UpperCAmelCase     )
									else:
													lowercase__     :    int													=     {self.sp_model.id_to_piece(__UpperCAmelCase     ): id for id in range(self.sp_model.get_piece_size()     )}
									lowercase__     :    int													=     {v: k for k, v in self.vocab.items()}







					def  snake_case     (							self					:	Any      ,   SCREAMING_SNAKE_CASE					:	List[Any]     ):
									if text is None:
													return None

									lowercase__     :    Any													=     self.tokenize(__UpperCAmelCase     )
									lowercase__     :    str													=     "", []

									for i, ch in enumerate(__UpperCAmelCase     ):
													if ch in self.SP_CHAR_MAPPING:
																	lowercase__     :    List[Any]													=     self.SP_CHAR_MAPPING.get(__UpperCAmelCase     )
													else:
																	lowercase__     :    Union[str, Any]													=     unicodedata.normalize("NFKC"      ,   __UpperCAmelCase     )
													if self.is_whitespace(__UpperCAmelCase     ):
																	continue
													normalized_text += ch
													char_mapping.extend([i] * len(__UpperCAmelCase     )     )

									lowercase__     :    Optional[int]													=     normalized_text, [], 0

									if self.do_lower_case:
													lowercase__     :    List[str]													=     text.lower()

									for token in split_tokens:
													if token[:1] == "▁":
																	lowercase__     :    int													=     token[1:]
													lowercase__     :    Tuple													=     text[offset:].index(__UpperCAmelCase     ) + offset
													lowercase__     :    List[str]													=     start + len(__UpperCAmelCase     )

													token_mapping.append((char_mapping[start], char_mapping[end - 1] + 1)     )
													lowercase__     :    List[Any]													=     end
									return token_mapping







					@property
					def  snake_case     (							self					:	str     ):
									return len(self.vocab     )







					def  snake_case     (							self					:	Optional[Any]     ):
									return dict(self.vocab      ,   **self.added_tokens_encoder     )







					def __getstate__(							self					:	int     ):
									lowercase__     :    str													=     self.__dict__.copy()
									lowercase__     :    Optional[Any]													=     None
									return state







					def __setstate__(							self					:	str      ,   SCREAMING_SNAKE_CASE					:	str     ):
									lowercase__     :    Tuple													=     d

									# for backward compatibility
									if not hasattr(self      ,   "sp_model_kwargs"     ):
													lowercase__     :    Optional[int]													=     {}

									lowercase__     :    Union[str, Any]													=     spm.SentencePieceProcessor(**self.sp_model_kwargs     )
									self.sp_model.Load(self.sentencepiece_model_ckpt     )







					def  snake_case     (							self					:	Dict      ,   SCREAMING_SNAKE_CASE					:	List[Any]     ):
									return "".join((self.SP_CHAR_MAPPING.get(__UpperCAmelCase      ,   __UpperCAmelCase     ) for c in text)     )







					def  snake_case     (							self					:	Tuple      ,   SCREAMING_SNAKE_CASE					:	Tuple      ,   SCREAMING_SNAKE_CASE					:	Optional[int]=False      ,   SCREAMING_SNAKE_CASE					:	Optional[Any]=64      ,   SCREAMING_SNAKE_CASE					:	Any=0.1     ):

									if self.sp_model_kwargs.get("enable_sampling"     ) is True:
													lowercase__     :    Union[str, Any]													=     True
									if self.sp_model_kwargs.get("alpha"     ) is not None:
													lowercase__     :    Optional[int]													=     self.sp_model_kwargs.get("alpha"     )
									if self.sp_model_kwargs.get("nbest_size"     ) is not None:
													lowercase__     :    Dict													=     self.sp_model_kwargs.get("nbest_size"     )

									if not enable_sampling:
													lowercase__     :    int													=     self.sp_model.EncodeAsPieces(__UpperCAmelCase     )
									else:
													lowercase__     :    List[Any]													=     self.sp_model.SampleEncodeAsPieces(__UpperCAmelCase      ,   __UpperCAmelCase      ,   __UpperCAmelCase     )
									lowercase__     :    Optional[Any]													=     []
									for pi, piece in enumerate(__UpperCAmelCase     ):
													if piece == SPIECE_UNDERLINE:
																	if not pieces[pi + 1].startswith(__UpperCAmelCase     ) and pi != 0:
																					new_pieces.append(__UpperCAmelCase     )
																					continue
																	else:
																					continue
													lowercase__     :    Any													=     0
													for i, chunk in enumerate(__UpperCAmelCase     ):
																	if chunk == SPIECE_UNDERLINE:
																					continue
																	if self.is_ch_char(__UpperCAmelCase     ) or self.is_punct(__UpperCAmelCase     ):
																					if i > lst_i and piece[lst_i:i] != SPIECE_UNDERLINE:
																									new_pieces.append(piece[lst_i:i]     )
																					new_pieces.append(__UpperCAmelCase     )
																					lowercase__     :    Optional[int]													=     i + 1
																	elif chunk.isdigit() and i > 0 and not piece[i - 1].isdigit():
																					if i > lst_i and piece[lst_i:i] != SPIECE_UNDERLINE:
																									new_pieces.append(piece[lst_i:i]     )
																					lowercase__     :    int													=     i
																	elif not chunk.isdigit() and i > 0 and piece[i - 1].isdigit():
																					if i > lst_i and piece[lst_i:i] != SPIECE_UNDERLINE:
																									new_pieces.append(piece[lst_i:i]     )
																					lowercase__     :    Tuple													=     i
													if len(__UpperCAmelCase     ) > lst_i:
																	new_pieces.append(piece[lst_i:]     )
									return new_pieces







					def  snake_case     (							self					:	List[str]      ,   SCREAMING_SNAKE_CASE					:	Union[str, Any]     ):
									lowercase__     :    str													=     "".join(__UpperCAmelCase     ).replace(__UpperCAmelCase      ,   " "     ).strip()
									return out_string







					def  snake_case     (							self					:	Optional[int]      ,   SCREAMING_SNAKE_CASE					:	Union[str, Any]     ):
									lowercase__     :    Tuple													=     self.convert_ids_to_tokens(__UpperCAmelCase     )
									lowercase__     :    str													=     "".join(__UpperCAmelCase     ).replace(__UpperCAmelCase      ,   " "     ).strip()
									return out_string







					def  snake_case     (							self					:	Union[str, Any]      ,   SCREAMING_SNAKE_CASE					:	Optional[int]     ):
									return self.vocab.get(__UpperCAmelCase      ,   self.vocab.get(self.unk_token     )     )







					def  snake_case     (							self					:	Any      ,   SCREAMING_SNAKE_CASE					:	Tuple     ):
									return self.reverse_vocab.get(__UpperCAmelCase      ,   self.unk_token     )







					def  snake_case     (							self					:	Any      ,   SCREAMING_SNAKE_CASE					:	Dict      ,   SCREAMING_SNAKE_CASE					:	Union[str, Any]=None     ):
									if token_ids_a is None:
													return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
									lowercase__     :    int													=     [self.cls_token_id]
									lowercase__     :    Optional[int]													=     [self.sep_token_id]
									return _cls + token_ids_a + _sep + _sep + token_ids_a + _sep







					def  snake_case     (							self					:	List[Any]      ,   SCREAMING_SNAKE_CASE					:	Tuple      ,   SCREAMING_SNAKE_CASE					:	Dict=None     ):
									if offset_mapping_a is None:
													return [(0, 0)] + offset_mapping_a + [(0, 0)]

									return [(0, 0)] + offset_mapping_a + [(0, 0), (0, 0)] + offset_mapping_a + [(0, 0)]







					def  snake_case     (							self					:	int      ,   SCREAMING_SNAKE_CASE					:	Tuple      ,   SCREAMING_SNAKE_CASE					:	str=None      ,   SCREAMING_SNAKE_CASE					:	int=False     ):

									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(__UpperCAmelCase     )) + [1, 1] + ([0] * len(__UpperCAmelCase     )) + [1]
									return [1] + ([0] * len(__UpperCAmelCase     )) + [1]







					def  snake_case     (							self					:	str      ,   SCREAMING_SNAKE_CASE					:	List[int]      ,   SCREAMING_SNAKE_CASE					:	Optional[List[int]] = None     ):
									# called when `add_special_tokens` is True, so align with `build_inputs_with_special_tokens` method
									if token_ids_a is None:
													# [CLS] X [SEP]
													return (len(__UpperCAmelCase     ) + 2) * [0]

									# [CLS] A [SEP] [SEP] B [SEP]
									return [0] * (len(__UpperCAmelCase     ) + 1) + [1] * (len(__UpperCAmelCase     ) + 3)







					def  snake_case     (							self					:	int      ,   SCREAMING_SNAKE_CASE					:	Optional[int]     ):
									if "\u4e00" <= char <= "\u9fff":
													return True
									return False







					def  snake_case     (							self					:	Tuple      ,   SCREAMING_SNAKE_CASE					:	Union[str, Any]     ):
									if ("a" <= char <= "z") or ("A" <= char <= "Z"):
													return True
									return False







					def  snake_case     (							self					:	int      ,   SCREAMING_SNAKE_CASE					:	List[Any]     ):
									if char in ",;:.?!~，；：。？！《》【】":
													return True
									return False







					def  snake_case     (							self					:	str      ,   SCREAMING_SNAKE_CASE					:	Optional[Any]     ):
									if char == " " or char == "\t" or char == "\n" or char == "\r":
													return True
									if len(__UpperCAmelCase     ) == 1:
													lowercase__     :    Optional[Any]													=     unicodedata.category(__UpperCAmelCase     )
													if cat == "Zs":
																	return True
									return False







					def  snake_case     (							self					:	Optional[int]      ,   SCREAMING_SNAKE_CASE					:	Optional[Any]     ):
									lowercase__     :    Optional[int]													=     {}
									with io.open(__UpperCAmelCase      ,   "r"      ,   encoding="utf-8"     ) as f:
													for index, line in enumerate(__UpperCAmelCase     ):
																	lowercase__     :    Tuple													=     line.rstrip("\n"     )
																	lowercase__     :    Any													=     int(__UpperCAmelCase     )

									return token_to_idx







					def  snake_case     (							self					:	Dict      ,   SCREAMING_SNAKE_CASE					:	str      ,   SCREAMING_SNAKE_CASE					:	Optional[str] = None     ):
									lowercase__     :    int													=     0
									if os.path.isdir(__UpperCAmelCase     ):
													lowercase__     :    Union[str, Any]													=     os.path.join(
													    __UpperCAmelCase      ,   (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]     )
									else:
													lowercase__     :    Tuple													=     (filename_prefix + "-" if filename_prefix else "") + save_directory
									with open(__UpperCAmelCase      ,   "w"      ,   encoding="utf-8"     ) as writer:
													for token, token_index in sorted(self.vocab.items()      ,   key=lambda SCREAMING_SNAKE_CASE     : kv[1]     ):
																	if index != token_index:
																					logger.warning(
																					    f"""Saving vocabulary to {vocab_file}: vocabulary indices are not consecutive."""
																					    " Please check that the vocabulary is not corrupted!"     )
																					lowercase__     :    Union[str, Any]													=     token_index
																	writer.write(token + "\n"     )
																	index += 1

									lowercase__     :    Union[str, Any]													=     os.path.join(__UpperCAmelCase      ,   "sentencepiece.bpe.model"     )
									with open(__UpperCAmelCase      ,   "wb"     ) as fi:
													lowercase__     :    Optional[int]													=     self.sp_model.serialized_model_proto()
													fi.write(__UpperCAmelCase     )

									return (vocab_file,)








"""simple docstring"""







from bisect import bisect
from itertools import accumulate


def      lowercase			(				A_  ,   A_  ,   A_  ,   A_       )->      Union[str, Any]:
  '''simple docstring'''







  a						:		Any      							=			sorted(zip(A_  ,   A_       )  ,   key=lambda A_       : x[0] / x[1]  ,   reverse=A_       )
  a							,		a						:		int      							=			[i[0] for i in r], [i[1] for i in r]
  a						:		Union[str, Any]      							=			list(accumulate(A_       )       )
  a						:		Optional[Any]      							=			bisect(A_  ,   A_       )
  return (
      0
      if k == 0
      else sum(vl[:k]       ) + (w - acc[k - 1]) * (vl[k]) / (wt[k])
      if k != n
      else sum(vl[:k]       )
  )


if __name__ == "__main__":
 import doctest

 doctest.testmod()






