





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


_lowerCamelCase :    int  							= logging.get_logger(__name__)

_lowerCamelCase :    List[Any]  							= {'''vocab_file''': '''spiece.model'''}

_lowerCamelCase :    Optional[Any]  							= {
    '''vocab_file''': {
        '''TsinghuaAI/CPM-Generate''': '''https://huggingface.co/TsinghuaAI/CPM-Generate/resolve/main/spiece.model''',
    }
}


class 						lowerCamelCase       (__lowerCamelCase      ):







							"""simple docstring"""




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





														"""simple docstring"""
														SCREAMING_SNAKE_CASE__       :      List[str]     =						AddedToken(_UpperCAmelCase,			lstrip=_UpperCAmelCase,			rstrip=_UpperCAmelCase						) if isinstance(_UpperCAmelCase,			_UpperCAmelCase						) else mask_token

														SCREAMING_SNAKE_CASE__       :      Optional[int]     =						{} 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,			)

														SCREAMING_SNAKE_CASE__       :      List[Any]     =						3

														SCREAMING_SNAKE_CASE__       :      Union[str, Any]     =						do_lower_case
														SCREAMING_SNAKE_CASE__       :      Any     =						remove_space
														SCREAMING_SNAKE_CASE__       :      Union[str, Any]     =						keep_accents
														SCREAMING_SNAKE_CASE__       :      Tuple     =						vocab_file

														SCREAMING_SNAKE_CASE__       :      List[str]     =						spm.SentencePieceProcessor(**self.sp_model_kwargs						)
														self.sp_model.Load(_UpperCAmelCase						)

														try:
																					import jieba
														except ModuleNotFoundError as error:
																					raise error.__class__(
																					    "You need to install jieba to use CpmTokenizer or CpmTokenizerFast. "
																					    "See https://pypi.org/project/jieba/ for installation."						)
														SCREAMING_SNAKE_CASE__       :      List[Any]     =						jieba
														SCREAMING_SNAKE_CASE__       :      int     =						str.maketrans(" \n",			"\u2582\u2583"						)






							@property
							# Copied from transformers.models.xlnet.tokenization_xlnet.XLNetTokenizer.vocab_size
							def  A_     ( self     :					Dict						)				->			Tuple:





														"""simple docstring"""
														return len(self.sp_model						)






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





														"""simple docstring"""
														SCREAMING_SNAKE_CASE__       :      Union[str, Any]     =						{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     :					Union[str, Any]						)				->			Tuple:





														"""simple docstring"""
														SCREAMING_SNAKE_CASE__       :      Any     =						self.__dict__.copy()
														SCREAMING_SNAKE_CASE__       :      Optional[int]     =						None
														return state






							def __setstate__( self     :					List[str],			_UpperCAmelCase     :					Tuple						)				->			Dict:





														"""simple docstring"""
														SCREAMING_SNAKE_CASE__       :      List[str]     =						d

														# for backward compatibility
														if not hasattr(self,			"sp_model_kwargs"						):
																					SCREAMING_SNAKE_CASE__       :      List[str]     =						{}

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






							def  A_     ( self     :					Dict,			_UpperCAmelCase     :					str						)				->			str:





														"""simple docstring"""
														if self.remove_space:
																					SCREAMING_SNAKE_CASE__       :      List[Any]     =						" ".join(inputs.strip().split()						)
														else:
																					SCREAMING_SNAKE_CASE__       :      Dict     =						inputs
														SCREAMING_SNAKE_CASE__       :      Any     =						outputs.replace("``",			"\""						).replace("''",			"\""						)

														if not self.keep_accents:
																					SCREAMING_SNAKE_CASE__       :      str     =						unicodedata.normalize("NFKD",			_UpperCAmelCase						)
																					SCREAMING_SNAKE_CASE__       :      Optional[Any]     =						"".join([c for c in outputs if not unicodedata.combining(_UpperCAmelCase						)]						)
														if self.do_lower_case:
																					SCREAMING_SNAKE_CASE__       :      List[Any]     =						outputs.lower()

														return outputs






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





														"""simple docstring"""
														SCREAMING_SNAKE_CASE__       :      Any     =						self.preprocess_text(_UpperCAmelCase						)
														SCREAMING_SNAKE_CASE__       :      str     =						self.sp_model.encode(_UpperCAmelCase,			out_type=_UpperCAmelCase						)
														SCREAMING_SNAKE_CASE__       :      List[str]     =						[]
														for piece in pieces:
																					if len(_UpperCAmelCase						) > 1 and piece[-1] == str(","						) and piece[-2].isdigit():
																												SCREAMING_SNAKE_CASE__       :      Tuple     =						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:
																																										SCREAMING_SNAKE_CASE__       :      Tuple     =						cur_pieces[1:]
																																			else:
																																										SCREAMING_SNAKE_CASE__       :      str     =						cur_pieces[0][1:]
																												cur_pieces.append(piece[-1]						)
																												new_pieces.extend(_UpperCAmelCase						)
																					else:
																												new_pieces.append(_UpperCAmelCase						)

														return new_pieces






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





														"""simple docstring"""
														return self.sp_model.PieceToId(_UpperCAmelCase						)






							def  A_     ( self     :					Optional[int],			_UpperCAmelCase     :					int						)				->			List[Any]:





														"""simple docstring"""
														return self.sp_model.IdToPiece(_UpperCAmelCase						)






							def  A_     ( self     :					Optional[Any],			_UpperCAmelCase     :					Dict						)				->			List[Any]:





														"""simple docstring"""
														SCREAMING_SNAKE_CASE__       :      Union[str, Any]     =						"".join(_UpperCAmelCase						).replace(_UpperCAmelCase,			" "						).strip()
														return out_string






							def  A_     ( self     :					Optional[Any],			_UpperCAmelCase     :					List[int],			_UpperCAmelCase     :					Optional[List[int]] = None						)				->			List[int]:





														"""simple docstring"""
														SCREAMING_SNAKE_CASE__       :      str     =						[self.sep_token_id]
														SCREAMING_SNAKE_CASE__       :      Union[str, 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  A_     ( self     :					Tuple,			_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  A_     ( self     :					str,			_UpperCAmelCase     :					List[int],			_UpperCAmelCase     :					Optional[List[int]] = None						)				->			List[int]:





														"""simple docstring"""
														SCREAMING_SNAKE_CASE__       :      List[str]     =						[self.sep_token_id]
														SCREAMING_SNAKE_CASE__       :      int     =						[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  A_     ( self     :					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
														SCREAMING_SNAKE_CASE__       :      Optional[int]     =						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:
																												SCREAMING_SNAKE_CASE__       :      int     =						self.sp_model.serialized_model_proto()
																												fi.write(_UpperCAmelCase						)

														return (out_vocab_file,)






							def  A_     ( self     :					Tuple,			*_UpperCAmelCase     :					Optional[int],			**_UpperCAmelCase     :					Optional[int]						)				->			Any:





														"""simple docstring"""
														SCREAMING_SNAKE_CASE__       :      Optional[int]     =						super()._decode(*_UpperCAmelCase,			**_UpperCAmelCase						)
														SCREAMING_SNAKE_CASE__       :      str     =						text.replace(" ",			""						).replace("\u2582",			" "						).replace("\u2583",			"\n"						)
														return text













class 						lowerCamelCase       :







							"""simple docstring"""




							def __init__( self     :					int,			_UpperCAmelCase     :					Dict,			_UpperCAmelCase     :					str						)				->			Optional[Any]:





														"""simple docstring"""
														SCREAMING_SNAKE_CASE__       :      str     =						name
														SCREAMING_SNAKE_CASE__       :      Tuple     =						val






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





														"""simple docstring"""
														return F'''{self.__class__.__name__}({self.name}, {self.val})'''






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





														"""simple docstring"""
														return self.val < other.val


class 						lowerCamelCase       :







							"""simple docstring"""




							def __init__( self     :					Optional[Any],			_UpperCAmelCase     :					str						)				->			Tuple:





														"""simple docstring"""
														SCREAMING_SNAKE_CASE__       :      Optional[Any]     =						{}
														SCREAMING_SNAKE_CASE__       :      str     =						{}
														SCREAMING_SNAKE_CASE__       :      Union[str, Any]     =						self.build_heap(_UpperCAmelCase						)






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





														"""simple docstring"""
														return self.get_value(_UpperCAmelCase						)






							def  A_     ( self     :					int,			_UpperCAmelCase     :					Optional[int]						)				->			Any:





														"""simple docstring"""
														return (idx - 1) // 2






							def  A_     ( self     :					Optional[Any],			_UpperCAmelCase     :					Any						)				->			Dict:





														"""simple docstring"""
														return idx * 2 + 1






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





														"""simple docstring"""
														return idx * 2 + 2






							def  A_     ( self     :					Tuple,			_UpperCAmelCase     :					int						)				->			Optional[int]:





														"""simple docstring"""
														return self.heap_dict[key]






							def  A_     ( self     :					Optional[int],			_UpperCAmelCase     :					Dict						)				->			Optional[Any]:





														"""simple docstring"""
														SCREAMING_SNAKE_CASE__       :      List[str]     =						len(_UpperCAmelCase						) - 1
														SCREAMING_SNAKE_CASE__       :      Optional[int]     =						self.get_parent_idx(_UpperCAmelCase						)

														for idx, i in enumerate(_UpperCAmelCase						):
																					SCREAMING_SNAKE_CASE__       :      Optional[int]     =						idx
																					SCREAMING_SNAKE_CASE__       :      Optional[Any]     =						i.val

														for i in range(_UpperCAmelCase,			-1,			-1						):
																					self.sift_down(_UpperCAmelCase,			_UpperCAmelCase						)
														return array






							def  A_     ( self     :					List[Any],			_UpperCAmelCase     :					Dict,			_UpperCAmelCase     :					Tuple						)				->			Tuple:





														"""simple docstring"""
														while True:
																					SCREAMING_SNAKE_CASE__       :      str     =						self.get_left_child_idx(_UpperCAmelCase						)  # noqa: E741
																					SCREAMING_SNAKE_CASE__       :      Tuple     =						self.get_right_child_idx(_UpperCAmelCase						)

																					SCREAMING_SNAKE_CASE__       :      Tuple     =						idx
																					if l < len(_UpperCAmelCase						) and array[l] < array[idx]:
																												SCREAMING_SNAKE_CASE__       :      List[Any]     =						l
																					if r < len(_UpperCAmelCase						) and array[r] < array[smallest]:
																												SCREAMING_SNAKE_CASE__       :      int     =						r

																					if smallest != idx:
																												SCREAMING_SNAKE_CASE__   ,SCREAMING_SNAKE_CASE__       :      Any     =						array[smallest], array[idx]
																												(
																												    (
																												    SCREAMING_SNAKE_CASE__
																												)   ,(
																												    SCREAMING_SNAKE_CASE__
																												)   ,
																												)       :      Optional[Any]     =						(
																												    self.idx_of_element[array[smallest]],
																												    self.idx_of_element[array[idx]],
																												)
																												SCREAMING_SNAKE_CASE__       :      Optional[Any]     =						smallest
																					else:
																												break






							def  A_     ( self     :					Union[str, Any],			_UpperCAmelCase     :					str						)				->			Any:





														"""simple docstring"""
														SCREAMING_SNAKE_CASE__       :      Any     =						self.get_parent_idx(_UpperCAmelCase						)
														while p >= 0 and self.heap[p] > self.heap[idx]:
																					SCREAMING_SNAKE_CASE__   ,SCREAMING_SNAKE_CASE__       :      Any     =						self.heap[idx], self.heap[p]
																					SCREAMING_SNAKE_CASE__   ,SCREAMING_SNAKE_CASE__       :      int     =						(
																					    self.idx_of_element[self.heap[idx]],
																					    self.idx_of_element[self.heap[p]],
																					)
																					SCREAMING_SNAKE_CASE__       :      Dict     =						p
																					SCREAMING_SNAKE_CASE__       :      List[str]     =						self.get_parent_idx(_UpperCAmelCase						)






							def  A_     ( self     :					str						)				->			List[str]:





														"""simple docstring"""
														return self.heap[0]






							def  A_     ( self     :					Tuple						)				->			List[Any]:





														"""simple docstring"""
														SCREAMING_SNAKE_CASE__   ,SCREAMING_SNAKE_CASE__       :      Optional[int]     =						self.heap[-1], self.heap[0]
														SCREAMING_SNAKE_CASE__   ,SCREAMING_SNAKE_CASE__       :      List[Any]     =						(
														    self.idx_of_element[self.heap[-1]],
														    self.idx_of_element[self.heap[0]],
														)

														SCREAMING_SNAKE_CASE__       :      Any     =						self.heap.pop()
														del self.idx_of_element[x]
														self.sift_down(0,			self.heap						)
														return x






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





														"""simple docstring"""
														self.heap.append(_UpperCAmelCase						)
														SCREAMING_SNAKE_CASE__       :      str     =						len(self.heap						) - 1
														SCREAMING_SNAKE_CASE__       :      Optional[Any]     =						node.val
														self.sift_up(len(self.heap						) - 1						)






							def  A_     ( self     :					Optional[int]						)				->			int:





														"""simple docstring"""
														return len(self.heap						) == 0






							def  A_     ( self     :					Any,			_UpperCAmelCase     :					Tuple,			_UpperCAmelCase     :					str						)				->			Dict:





														"""simple docstring"""
														assert (
														    self.heap[self.idx_of_element[node]].val > new_value
														), "newValue must be less that current value"
														SCREAMING_SNAKE_CASE__       :      Tuple     =						new_value
														SCREAMING_SNAKE_CASE__       :      List[Any]     =						new_value
														self.sift_up(self.idx_of_element[node]						)


_lowerCamelCase :    Tuple  							= Node('''R''', -1)
_lowerCamelCase :    int  							= Node('''B''', 6)
_lowerCamelCase :    str  							= Node('''A''', 3)
_lowerCamelCase :    Optional[Any]  							= Node('''X''', 1)
_lowerCamelCase :    str  							= Node('''E''', 4)

# Use one of these two ways to generate Min-Heap

# Generating Min-Heap from array
_lowerCamelCase :    int  							= MinHeap([r, b, a, x, e])

# Generating Min-Heap by Insert method
# myMinHeap.insert(a)
# myMinHeap.insert(b)
# myMinHeap.insert(x)
# myMinHeap.insert(r)
# myMinHeap.insert(e)

# Before
print('''Min Heap - before decrease key''')
for i in my_min_heap.heap:
		print(i)

print('''Min Heap - After decrease key of node [B -> -17]''')
my_min_heap.decrease_key(b, -1_7)

# After
for i in my_min_heap.heap:
		print(i)

if __name__ == "__main__":
		import doctest

		doctest.testmod()






