




'''simple docstring'''





import argparse
import json
from typing import List

from ltp import LTP

from transformers import BertTokenizer


def      UpperCamelCase_(	snake_case							:       Optional[int]     ):

							'''simple docstring'''






							if (
							    (cp >= 0X4E00 and cp <= 0X9FFF)
							    or (cp >= 0X3400 and cp <= 0X4DBF)  #
							    or (cp >= 0X2_0000 and cp <= 0X2_A6DF)  #
							    or (cp >= 0X2_A700 and cp <= 0X2_B73F)  #
							    or (cp >= 0X2_B740 and cp <= 0X2_B81F)  #
							    or (cp >= 0X2_B820 and cp <= 0X2_CEAF)  #
							    or (cp >= 0XF900 and cp <= 0XFAFF)
							    or (cp >= 0X2_F800 and cp <= 0X2_FA1F)  #
							):  #
														return True

							return False


def      UpperCamelCase_(	snake_case							:       str     ):

							'''simple docstring'''






							for char in word:
														snake_case_						=      ord(snake_case     )
														if not _is_chinese_char(snake_case     ):
																					return 0
							return 1


def      UpperCamelCase_(	snake_case							:       List[str]     ):

							'''simple docstring'''






							snake_case_						=      set()

							for token in tokens:
														snake_case_						=      len(snake_case     ) > 1 and is_chinese(snake_case     )
														if chinese_word:
																					word_set.add(snake_case     )
							snake_case_						=      list(snake_case     )
							return word_list


def      UpperCamelCase_(	snake_case							:       List[str]							,				snake_case							:       set()     ):

							'''simple docstring'''






							if not chinese_word_set:
														return bert_tokens
							snake_case_						=      max([len(snake_case     ) for w in chinese_word_set]     )

							snake_case_						=      bert_tokens
							snake_case_					,      snake_case_						=      0, len(snake_case     )
							while start < end:
														snake_case_						=      True
														if is_chinese(bert_word[start]     ):
																					snake_case_						=      min(end - start							,				snake_case     )
																					for i in range(snake_case							,				1							,				-1     ):
																												snake_case_						=      "".join(bert_word[start : start + i]     )
																												if whole_word in chinese_word_set:
																																			for j in range(start + 1							,				start + i     ):
																																										snake_case_						=      "##" + bert_word[j]
																																			snake_case_						=      start + i
																																			snake_case_						=      False
																																			break
														if single_word:
																					start += 1
							return bert_word


def      UpperCamelCase_(	snake_case							:       List[str]							,				snake_case							:       LTP							,				snake_case							:       BertTokenizer     ):

							'''simple docstring'''






							snake_case_						=      []

							for i in range(0							,				len(snake_case     )							,				1_0_0     ):
														snake_case_						=      ltp_tokenizer.seg(lines[i : i + 1_0_0]     )[0]
														snake_case_						=      [get_chinese_word(snake_case     ) for r in res]
														ltp_res.extend(snake_case     )
							assert len(snake_case     ) == len(snake_case     )

							snake_case_						=      []
							for i in range(0							,				len(snake_case     )							,				1_0_0     ):
														snake_case_						=      bert_tokenizer(lines[i : i + 1_0_0]							,				add_special_tokens=snake_case							,				truncation=snake_case							,				max_length=5_1_2     )
														bert_res.extend(res["input_ids"]     )
							assert len(snake_case     ) == len(snake_case     )

							snake_case_						=      []
							for input_ids, chinese_word in zip(snake_case							,				snake_case     ):
														snake_case_						=      []
														for id in input_ids:
																					snake_case_						=      bert_tokenizer._convert_id_to_token(snake_case     )
																					input_tokens.append(snake_case     )
														snake_case_						=      add_sub_symbol(snake_case							,				snake_case     )
														snake_case_						=      []
														# We only save pos of chinese subwords start with ##, which mean is part of a whole word.
														for i, token in enumerate(snake_case     ):
																					if token[:2] == "##":
																												snake_case_						=      token[2:]
																												# save chinese tokens' pos
																												if len(snake_case     ) == 1 and _is_chinese_char(ord(snake_case     )     ):
																																			ref_id.append(snake_case     )
														ref_ids.append(snake_case     )

							assert len(snake_case     ) == len(snake_case     )

							return ref_ids


def      UpperCamelCase_(	snake_case							:       int     ):

							'''simple docstring'''






							with open(args.file_name							,				"r"							,				encoding="utf-8"     ) as f:
														snake_case_						=      f.readlines()
							snake_case_						=      [line.strip() for line in data if len(snake_case     ) > 0 and not line.isspace()]  # avoid delimiter like '\u2029'
							snake_case_						=      LTP(args.ltp     )  # faster in GPU device
							snake_case_						=      BertTokenizer.from_pretrained(args.bert     )

							snake_case_						=      prepare_ref(snake_case							,				snake_case							,				snake_case     )

							with open(args.save_path							,				"w"							,				encoding="utf-8"     ) as f:
														snake_case_						=      [json.dumps(snake_case     ) + "\n" for ref in ref_ids]
														f.writelines(snake_case     )


if __name__ == "__main__":
		_SCREAMING_SNAKE_CASE							:   Dict      		= argparse.ArgumentParser(description="prepare_chinese_ref")
		parser.add_argument(
		    "--file_name",
		    type=str,
		    default="./resources/chinese-demo.txt",
		    help="file need process, same as training data in lm",
		)
		parser.add_argument(
		    "--ltp", type=str, default="./resources/ltp", help="resources for LTP tokenizer, usually a path"
		)
		parser.add_argument("--bert", type=str, default="./resources/robert", help="resources for Bert tokenizer")
		parser.add_argument("--save_path", type=str, default="./resources/ref.txt", help="path to save res")

		_SCREAMING_SNAKE_CASE							:   str      		= parser.parse_args()
		main(args)











from __future__ import annotations

from sys import maxsize
from typing import Generic, TypeVar

__UpperCAmelCase       :   str				       =							TypeVar("T")







def 			A__							(    SCREAMING_SNAKE_CASE__)   ->    int:
  return (position - 1) // 2







def 			A__							(    SCREAMING_SNAKE_CASE__)   ->    int:
  return (2 * position) + 1







def 			A__							(    SCREAMING_SNAKE_CASE__)   ->    int:
  return (2 * position) + 2







class     __snake_case       (							Generic[T]			):





       '''simple docstring'''







       def __init__(  self :    Tuple		):
         __snake_case:						list[tuple[T, int]]   =						[]
         __snake_case:						dict[T, int]   =						{}
         __snake_case:						int   =						0




       def __len__(  self :    Tuple		):
         return self.elements




       def __repr__(  self :    Optional[int]		):
         return str(self.heap		)




       def 							UpperCAmelCase__ (  self :    List[Any]		):
         # Check if the priority queue is empty
         return self.elements == 0




       def 							UpperCAmelCase__ (  self :    List[Any]							,				A :    T							,				A :    int		):
         # Add an element with given priority to the queue
         self.heap.append((elem, weight)		)
         __snake_case:						Optional[Any]   =						self.elements
         self.elements += 1
         self._bubble_up(A		)




       def 							UpperCAmelCase__ (  self :    List[Any]		):
         # Remove and return the element with lowest weight (highest priority)
         if self.elements > 1:
           self._swap_nodes(0							,				self.elements - 1		)
         __snake_case  ,   __snake_case:						Union[str, Any]   =						self.heap.pop()
         del self.position_map[elem]
         self.elements -= 1
         if self.elements > 0:
           __snake_case  ,   __snake_case:						int   =						self.heap[0]
           self._bubble_down(A		)
         return elem




       def 							UpperCAmelCase__ (  self :    Any							,				A :    T							,				A :    int		):
         # Update the weight of the given key
         __snake_case:						Dict   =						self.position_map[elem]
         __snake_case:						Optional[Any]   =						(elem, weight)
         if position > 0:
           __snake_case:						Optional[int]   =						get_parent_position(A		)
           __snake_case  ,   __snake_case:						Dict   =						self.heap[parent_position]
           if parent_weight > weight:
             self._bubble_up(A		)
           else:
             self._bubble_down(A		)
         else:
           self._bubble_down(A		)




       def 							UpperCAmelCase__ (  self :    int							,				A :    T		):
         # Place a node at the proper position (upward movement) [to be used internally
         # only]
         __snake_case:						int   =						self.position_map[elem]
         if curr_pos == 0:
           return None
         __snake_case:						Optional[Any]   =						get_parent_position(A		)
         __snake_case  ,   __snake_case:						Tuple   =						self.heap[curr_pos]
         __snake_case  ,   __snake_case:						Optional[Any]   =						self.heap[parent_position]
         if parent_weight > weight:
           self._swap_nodes(A							,				A		)
           return self._bubble_up(A		)
         return None




       def 							UpperCAmelCase__ (  self :    List[str]							,				A :    T		):
         # Place a node at the proper position (downward movement) [to be used
         # internally only]
         __snake_case:						Any   =						self.position_map[elem]
         __snake_case  ,   __snake_case:						int   =						self.heap[curr_pos]
         __snake_case:						Union[str, Any]   =						get_child_left_position(A		)
         __snake_case:						Dict   =						get_child_right_position(A		)
         if child_left_position < self.elements and child_right_position < self.elements:
           __snake_case  ,   __snake_case:						Any   =						self.heap[child_left_position]
           __snake_case  ,   __snake_case:						List[str]   =						self.heap[child_right_position]
           if child_right_weight < child_left_weight and child_right_weight < weight:
             self._swap_nodes(A							,				A		)
             return self._bubble_down(A		)
         if child_left_position < self.elements:
           __snake_case  ,   __snake_case:						List[Any]   =						self.heap[child_left_position]
           if child_left_weight < weight:
             self._swap_nodes(A							,				A		)
             return self._bubble_down(A		)
         else:
           return None
         if child_right_position < self.elements:
           __snake_case  ,   __snake_case:						List[Any]   =						self.heap[child_right_position]
           if child_right_weight < weight:
             self._swap_nodes(A							,				A		)
             return self._bubble_down(A		)
         return None






       def 							UpperCAmelCase__ (  self :    int							,				A :    int							,				A :    int		):
         # Swap the nodes at the given positions
         __snake_case:						Optional[int]   =						self.heap[nodea_pos][0]
         __snake_case:						Optional[Any]   =						self.heap[nodea_pos][0]
         __snake_case  ,   __snake_case:						Tuple   =						(
             self.heap[nodea_pos],
             self.heap[nodea_pos],
         )
         __snake_case:						Any   =						nodea_pos
         __snake_case:						str   =						nodea_pos







class     __snake_case       (							Generic[T]			):





       '''simple docstring'''







       def __init__(  self :    Any		):
         __snake_case:						dict[T, dict[T, int]]   =						{}
         __snake_case:						int   =						0




       def __repr__(  self :    Dict		):
         return str(self.connections		)




       def __len__(  self :    List[str]		):
         return self.nodes




       def 							UpperCAmelCase__ (  self :    Optional[Any]							,				A :    T		):
         # Add a node in the graph if it is not in the graph
         if node not in self.connections:
           __snake_case:						List[str]   =						{}
           self.nodes += 1






       def 							UpperCAmelCase__ (  self :    Optional[Any]							,				A :    T							,				A :    T							,				A :    int		):
         # Add an edge between 2 nodes in the graph
         self.add_node(A		)
         self.add_node(A		)
         __snake_case:						Optional[Any]   =						weight
         __snake_case:						str   =						weight







def 			A__							(    SCREAMING_SNAKE_CASE__					,					)   ->    tuple[dict[T, int], dict[T, T | None]]:
  __snake_case:						dict[T, int]   =						{node: maxsize for node in graph.connections}
  __snake_case:						dict[T, T | None]   =						{node: None for node in graph.connections}

  __snake_case:						MinPriorityQueue[T]   =						MinPriorityQueue()
  for node, weight in dist.items():
    priority_queue.push(SCREAMING_SNAKE_CASE__					,					SCREAMING_SNAKE_CASE__)

  if priority_queue.is_empty():
    return dist, parent

  # initialization
  __snake_case:						Optional[int]   =						priority_queue.extract_min()
  __snake_case:						Any   =						0
  for neighbour in graph.connections[node]:
    if dist[neighbour] > dist[node] + graph.connections[node][neighbour]:
      __snake_case:						Tuple   =						dist[node] + graph.connections[node][neighbour]
      priority_queue.update_key(SCREAMING_SNAKE_CASE__					,					dist[neighbour])
      __snake_case:						Optional[int]   =						node

    # running prim's algorithm
  while not priority_queue.is_empty():
    __snake_case:						Optional[int]   =						priority_queue.extract_min()
    for neighbour in graph.connections[node]:
      if dist[neighbour] > dist[node] + graph.connections[node][neighbour]:
        __snake_case:						Tuple   =						dist[node] + graph.connections[node][neighbour]
        priority_queue.update_key(SCREAMING_SNAKE_CASE__					,					dist[neighbour])
        __snake_case:						List[Any]   =						node
  return dist, parent






