






from __future__ import annotations

import time
from math import sqrt

# 1 for manhattan, 0 for euclidean
UpperCAmelCase_ :						Dict      =      0

UpperCAmelCase_ :						List[str]      =      [
    [0, 0, 0, 0, 0, 0, 0],
    [0, 1, 0, 0, 0, 0, 0],  # 0 are free path whereas 1's are obstacles
    [0, 0, 0, 0, 0, 0, 0],
    [0, 0, 1, 0, 0, 0, 0],
    [1, 0, 1, 0, 0, 0, 0],
    [0, 0, 0, 0, 0, 0, 0],
    [0, 0, 0, 0, 1, 0, 0],
]

UpperCAmelCase_ :						int      =      [[-1, 0], [0, -1], [1, 0], [0, 1]]  # up, left, down, right

UpperCAmelCase_ :						str      =      tuple[int, int]

class     _SCREAMING_SNAKE_CASE       :





	def __init__(		self				:					List[str] ,  __lowerCamelCase				:					int ,  __lowerCamelCase				:					int ,  __lowerCamelCase				:					int ,  __lowerCamelCase				:					int ,  __lowerCamelCase				:					int ,  __lowerCamelCase				:					Node | None ,  ):
		UpperCamelCase     :Any          =	pos_x
		UpperCamelCase     :List[str]          =	pos_y
		UpperCamelCase     :Any          =	(pos_y, pos_x)
		UpperCamelCase     :str          =	goal_x
		UpperCamelCase     :Tuple          =	goal_y
		UpperCamelCase     :Tuple          =	g_cost
		UpperCamelCase     :Tuple          =	parent
		UpperCamelCase     :List[Any]          =	self.calculate_heuristic()
		UpperCamelCase     :List[str]          =	self.g_cost + self.h_cost





	def 						_A (		self				:					List[Any]	):
		UpperCamelCase     :List[str]          =	self.pos_x - self.goal_x
		UpperCamelCase     :Optional[int]          =	self.pos_y - self.goal_y
		if HEURISTIC == 1:
			return abs(__lowerCamelCase	) + abs(__lowerCamelCase	)
		else:
			return sqrt(dy**2 + dx**2	)





	def __lt__(		self				:					Optional[Any] ,  __lowerCamelCase				:					Node	):
		return self.f_cost < other.f_cost

class     _SCREAMING_SNAKE_CASE       :





	def __init__(		self				:					List[Any] ,  __lowerCamelCase				:					TPosition ,  __lowerCamelCase				:					TPosition	):
		UpperCamelCase     :str          =	Node(start[1] ,  start[0] ,  goal[1] ,  goal[0] ,  0 ,  __lowerCamelCase	)
		UpperCamelCase     :int          =	Node(goal[1] ,  goal[0] ,  goal[1] ,  goal[0] ,  99_999 ,  __lowerCamelCase	)

		UpperCamelCase     :Optional[Any]          =	[self.start]
		UpperCamelCase     :list[Node]          =	[]

		UpperCamelCase     :Optional[int]          =	False





	def 						_A (		self				:					Optional[Any]	):
		while self.open_nodes:
			# Open Nodes are sorted using __lt__
			self.open_nodes.sort()
			UpperCamelCase     :Dict          =	self.open_nodes.pop(0	)

			if current_node.pos == self.target.pos:
				return self.retrace_path(__lowerCamelCase	)

			self.closed_nodes.append(__lowerCamelCase	)
			UpperCamelCase     :List[Any]          =	self.get_successors(__lowerCamelCase	)

			for child_node in successors:
				if child_node in self.closed_nodes:
					continue

				if child_node not in self.open_nodes:
					self.open_nodes.append(__lowerCamelCase	)
				else:
					# retrieve the best current path
					UpperCamelCase     :List[Any]          =	self.open_nodes.pop(self.open_nodes.index(__lowerCamelCase	)	)

					if child_node.g_cost < better_node.g_cost:
						self.open_nodes.append(__lowerCamelCase	)
					else:
						self.open_nodes.append(__lowerCamelCase	)

		return [self.start.pos]





	def 						_A (		self				:					Tuple ,  __lowerCamelCase				:					Node	):
		UpperCamelCase     :List[Any]          =	[]
		for action in delta:
			UpperCamelCase     :Union[str, Any]          =	parent.pos_x + action[1]
			UpperCamelCase     :List[Any]          =	parent.pos_y + action[0]
			if not (0 <= pos_x <= len(grid[0]	) - 1 and 0 <= pos_y <= len(__lowerCamelCase	) - 1):
				continue

			if grid[pos_y][pos_x] != 0:
				continue

			successors.append(
			    Node(
			        __lowerCamelCase ,  __lowerCamelCase ,  self.target.pos_y ,  self.target.pos_x ,  parent.g_cost + 1 ,  __lowerCamelCase ,  )	)
		return successors





	def 						_A (		self				:					Any ,  __lowerCamelCase				:					Node | None	):
		UpperCamelCase     :Union[str, Any]          =	node
		UpperCamelCase     :List[str]          =	[]
		while current_node is not None:
			path.append((current_node.pos_y, current_node.pos_x)	)
			UpperCamelCase     :Optional[Any]          =	current_node.parent
		path.reverse()
		return path

class     _SCREAMING_SNAKE_CASE       :





	def __init__(		self				:					Union[str, Any] ,  __lowerCamelCase				:					TPosition ,  __lowerCamelCase				:					TPosition	):
		UpperCamelCase     :Any          =	AStar(__lowerCamelCase ,  __lowerCamelCase	)
		UpperCamelCase     :List[str]          =	AStar(__lowerCamelCase ,  __lowerCamelCase	)
		UpperCamelCase     :Dict          =	False





	def 						_A (		self				:					Tuple	):
		while self.fwd_astar.open_nodes or self.bwd_astar.open_nodes:
			self.fwd_astar.open_nodes.sort()
			self.bwd_astar.open_nodes.sort()
			UpperCamelCase     :Dict          =	self.fwd_astar.open_nodes.pop(0	)
			UpperCamelCase     :Union[str, Any]          =	self.bwd_astar.open_nodes.pop(0	)

			if current_bwd_node.pos == current_fwd_node.pos:
				return self.retrace_bidirectional_path(
				    __lowerCamelCase ,  __lowerCamelCase	)

			self.fwd_astar.closed_nodes.append(__lowerCamelCase	)
			self.bwd_astar.closed_nodes.append(__lowerCamelCase	)

			UpperCamelCase     :int          =	current_bwd_node
			UpperCamelCase     :str          =	current_fwd_node

			UpperCamelCase     :List[Any]          =	{
			    self.fwd_astar: self.fwd_astar.get_successors(__lowerCamelCase	),
			    self.bwd_astar: self.bwd_astar.get_successors(__lowerCamelCase	),
			}

			for astar in [self.fwd_astar, self.bwd_astar]:
				for child_node in successors[astar]:
					if child_node in astar.closed_nodes:
						continue

					if child_node not in astar.open_nodes:
						astar.open_nodes.append(__lowerCamelCase	)
					else:
						# retrieve the best current path
						UpperCamelCase     :Optional[int]          =	astar.open_nodes.pop(
						    astar.open_nodes.index(__lowerCamelCase	)	)

						if child_node.g_cost < better_node.g_cost:
							astar.open_nodes.append(__lowerCamelCase	)
						else:
							astar.open_nodes.append(__lowerCamelCase	)

		return [self.fwd_astar.start.pos]





	def 						_A (		self				:					List[Any] ,  __lowerCamelCase				:					Node ,  __lowerCamelCase				:					Node	):
		UpperCamelCase     :List[str]          =	self.fwd_astar.retrace_path(__lowerCamelCase	)
		UpperCamelCase     :Tuple          =	self.bwd_astar.retrace_path(__lowerCamelCase	)
		bwd_path.pop()
		bwd_path.reverse()
		UpperCamelCase     :List[Any]          =	fwd_path + bwd_path
		return path


if __name__ == "__main__":
	# all coordinates are given in format [y,x]
	UpperCAmelCase_ :						Optional[int]      =      (0, 0)
	UpperCAmelCase_ :						str      =      (len(grid) - 1, len(grid[0]) - 1)
	for elem in grid:
		print(elem)

	UpperCAmelCase_ :						Tuple      =      time.time()
	UpperCAmelCase_ :						Any      =      AStar(init, goal)
	UpperCAmelCase_ :						str      =      a_star.search()
	UpperCAmelCase_ :						Optional[int]      =      time.time() - start_time
	print(F'''AStar execution time = {end_time:f} seconds''')

	UpperCAmelCase_ :						Union[str, Any]      =      time.time()
	UpperCAmelCase_ :						List[str]      =      BidirectionalAStar(init, goal)
	UpperCAmelCase_ :						Union[str, Any]      =      time.time() - bd_start_time
	print(F'''BidirectionalAStar execution time = {bd_end_time:f} seconds''')







"""simple docstring"""



import argparse
import json
from typing import List

from ltp import LTP

from transformers import BertTokenizer







def 		__lowercase     (   snake_case_  :  int						)   ->Tuple:



    '''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 		__lowercase     (   snake_case_  :  str						)   ->Dict:



    '''simple docstring'''







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







def 		__lowercase     (   snake_case_  :  List[str]						)   ->List[Any]:



    '''simple docstring'''







    __A    :						str						 =     set()

    for token in tokens:
        __A    :						List[Any]						 =     len(snake_case_						) > 1 and is_chinese(snake_case_						)
        if chinese_word:
            word_set.add(snake_case_						)
    __A    :						Any						 =     list(snake_case_						)
    return word_list







def 		__lowercase     (   snake_case_  :  List[str]				,snake_case_  :  set()						)   ->Any:



    '''simple docstring'''







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

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







def 		__lowercase     (   snake_case_  :  List[str]				,snake_case_  :  LTP				,snake_case_  :  BertTokenizer						)   ->Dict:



    '''simple docstring'''







    __A    :						Optional[Any]						 =     []

    for i in range(0				,len(snake_case_						)				,100						):
        __A    :						int						 =     ltp_tokenizer.seg(lines[i : i + 100]						)[0]
        __A    :						List[Any]						 =     [get_chinese_word(snake_case_						) for r in res]
        ltp_res.extend(snake_case_						)
    assert len(snake_case_						) == len(snake_case_						)

    __A    :						Any						 =     []
    for i in range(0				,len(snake_case_						)				,100						):
        __A    :						Tuple						 =     bert_tokenizer(lines[i : i + 100]				,add_special_tokens=snake_case_				,truncation=snake_case_				,max_length=512						)
        bert_res.extend(res['''input_ids''']						)
    assert len(snake_case_						) == len(snake_case_						)

    __A    :						Optional[int]						 =     []
    for input_ids, chinese_word in zip(snake_case_				,snake_case_						):
        __A    :						List[str]						 =     []
        for id in input_ids:
            __A    :						Tuple						 =     bert_tokenizer._convert_id_to_token(snake_case_						)
            input_tokens.append(snake_case_						)
        __A    :						Optional[int]						 =     add_sub_symbol(snake_case_				,snake_case_						)
        __A    :						Optional[Any]						 =     []
        # 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] == "##":
                __A    :						Optional[Any]						 =     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 		__lowercase     (   snake_case_  :  int						)   ->List[Any]:



    '''simple docstring'''







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

    __A    :						Optional[Any]						 =     prepare_ref(snake_case_				,snake_case_				,snake_case_						)

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


if __name__ == "__main__":
       a_ =			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""")

       a_ =			parser.parse_args()
       main(args)




