



import numpy as np





class 							UpperCAmelCase				:




	'''simple docstring'''





	def __init__(	self :			Optional[int]			):
					__A             =			(0, 0)
					__A             =			None
					__A             =			0
					__A             =			0
					__A             =			0






	def __eq__(	self :			Dict							,A :			List[Any]			):
					return self.position == cell.position







	def     UpperCamelCase_  (	self :			str			):
					print(self.position			)





class 							UpperCAmelCase				:




	'''simple docstring'''





	def __init__(	self :			Union[str, Any]							,A :			Tuple=(5, 5)			):
					__A             =			np.zeros(__lowercase			)
					__A             =			world_size[0]
					__A             =			world_size[1]






	def     UpperCamelCase_  (	self :			Union[str, Any]			):
					print(self.w			)







	def     UpperCamelCase_  (	self :			Any							,A :			str			):
					__A             =			[
					    (-1, -1),
					    (-1, 0),
					    (-1, 1),
					    (0, -1),
					    (0, 1),
					    (1, -1),
					    (1, 0),
					    (1, 1),
					]
					__A             =			cell.position[0]
					__A             =			cell.position[1]
					__A             =			[]
					for n in neughbour_cord:
									__A             =			current_x + n[0]
									__A             =			current_y + n[1]
									if 0 <= x < self.world_x_limit and 0 <= y < self.world_y_limit:
													__A             =			Cell()
													__A             =			(x, y)
													__A             =			cell
													neighbours.append(__lowercase			)
					return neighbours





def 						UpperCAmelCase      (     a_		,       a_		,       a_						)		->     List[str]:







				"""simple docstring"""



				__A             =			[]
				__A             =			[]
				_open.append(a_						)

				while _open:
								__A             =			np.argmin([n.f for n in _open]						)
								__A             =			_open[min_f]
								_closed.append(_open.pop(a_						)						)
								if current == goal:
												break
								for n in world.get_neigbours(a_						):
												for c in _closed:
																if c == n:
																				continue
												__A             =			current.g + 1
												__A             =			n.position
												__A             =			goal.position
												__A             =			(ya - ya) ** 2 + (xa - xa) ** 2
												__A             =			n.h + n.g

												for c in _open:
																if c == n and c.f < n.f:
																				continue
												_open.append(a_						)
				__A             =			[]
				while current.parent is not None:
								path.append(current.position						)
								__A             =			current.parent
				path.append(current.position						)
				return path[::-1]


if __name__ == "__main__":
					SCREAMING_SNAKE_CASE							:Union[str, Any]										=    Gridworld()
					# Start position and goal
					SCREAMING_SNAKE_CASE							:Tuple										=    Cell()
					SCREAMING_SNAKE_CASE							:List[str]										=    (0, 0)
					SCREAMING_SNAKE_CASE							:List[Any]										=    Cell()
					SCREAMING_SNAKE_CASE							:int										=    (4, 4)
					print(f'''path from {start.position} to {goal.position}''')
					SCREAMING_SNAKE_CASE							:Dict										=    astar(world, start, goal)
					#   Just for visual reasons.
					for i in s:
										SCREAMING_SNAKE_CASE							:List[str]										=    1
					print(world.w)


import json
import os
import unittest

from transformers.models.ctrl.tokenization_ctrl import VOCAB_FILES_NAMES, CTRLTokenizer

from ...test_tokenization_common import TokenizerTesterMixin





class 							UpperCAmelCase				(  __SCREAMING_SNAKE_CASE      ,      unittest.TestCase  ):




	'''simple docstring'''





	snake_case_    =					CTRLTokenizer
	snake_case_    =					False
	snake_case_    =					False






	def     UpperCamelCase_  (	self :			Dict			):
					super().setUp()

					# Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
					__A             =			["adapt", "re@@", "a@@", "apt", "c@@", "t", "<unk>"]
					__A             =			dict(zip(A							,range(len(A			)			)			)			)
					__A             =			["#version: 0.2", "a p", "ap t</w>", "r e", "a d", "ad apt</w>", ""]
					__A             =			{"unk_token": "<unk>"}

					__A             =			os.path.join(self.tmpdirname							,VOCAB_FILES_NAMES["vocab_file"]			)
					__A             =			os.path.join(self.tmpdirname							,VOCAB_FILES_NAMES["merges_file"]			)
					with open(self.vocab_file							,"w"							,encoding="utf-8"			) as fp:
									fp.write(json.dumps(A			) + "\n"			)
					with open(self.merges_file							,"w"							,encoding="utf-8"			) as fp:
									fp.write("\n".join(A			)			)






	def     UpperCamelCase_  (	self :			List[str]							,**A :			List[str]			):
					kwargs.update(self.special_tokens_map			)
					return CTRLTokenizer.from_pretrained(self.tmpdirname							,**A			)






	def     UpperCamelCase_  (	self :			Optional[int]							,A :			Tuple			):
					__A             =			"adapt react readapt apt"
					__A             =			"adapt react readapt apt"
					return input_text, output_text







	def     UpperCamelCase_  (	self :			Any			):
					__A             =			CTRLTokenizer(self.vocab_file							,self.merges_file							,**self.special_tokens_map			)
					__A             =			"adapt react readapt apt"
					__A             =			"adapt re@@ a@@ c@@ t re@@ adapt apt".split()
					__A             =			tokenizer.tokenize(A			)
					self.assertListEqual(A							,A			)

					__A             =			tokens + [tokenizer.unk_token]

					__A             =			[0, 1, 2, 4, 5, 1, 0, 3, 6]
					self.assertListEqual(tokenizer.convert_tokens_to_ids(A			)							,A			)
