

import numpy as np

class   _a					:




      """simple docstring"""

      def __init__(   self							:				str	):
            A_						  =				(0, 0)
            A_						  =				None
            A_						  =				0
            A_						  =				0
            A_						  =				0





      def __eq__(   self							:				str						,			UpperCAmelCase							:				int	):
            return self.position == cell.position







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




class   _a					:




      """simple docstring"""

      def __init__(   self							:				Optional[int]						,			UpperCAmelCase							:				Any=(5, 5)	):
            A_						  =				np.zeros(UpperCAmelCase	)
            A_						  =				world_size[0]
            A_						  =				world_size[1]





      def 		__A	(   self							:				Optional[int]	):
            print(self.w	)







      def 		__A	(   self							:				Tuple						,			UpperCAmelCase							:				List[Any]	):
            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(UpperCAmelCase	)
            return neighbours




def       __snake_case						( __UpperCamelCase	: Union[str, Any]				,__UpperCamelCase	: Dict				,__UpperCamelCase	: Union[str, Any]    ):



      """simple docstring"""

      A_						  =				[]
      A_						  =				[]
      _open.append(lowercase__    )

      while _open:
            A_						  =				np.argmin([n.f for n in _open]    )
            A_						  =				_open[min_f]
            _closed.append(_open.pop(lowercase__    )    )
            if current == goal:
                  break
            for n in world.get_neigbours(lowercase__    ):
                  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(lowercase__    )
      A_						  =				[]
      while current.parent is not None:
            path.append(current.position    )
            A_						  =				current.parent
      path.append(current.position    )
      return path[::-1]


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


"""simple docstring"""

import os
import unittest

from transformers import LxmertTokenizer, LxmertTokenizerFast
from transformers.models.bert.tokenization_bert import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin






@require_tokenizers
class 			__a					(						__magic_name__       ,	unittest.TestCase       ):





       """simple docstring"""


       __UpperCamelCase					:      Optional[Any]    =						LxmertTokenizer
       __UpperCamelCase					:      Optional[Any]    =						LxmertTokenizerFast
       __UpperCamelCase					:      str    =						True
       __UpperCamelCase					:      Any    =						True






       def 			SCREAMING_SNAKE_CASE_	(   self   ):





        """simple docstring"""

        super().setUp()

        lowerCAmelCase__   :				Tuple 			=				[
            "[UNK]",
            "[CLS]",
            "[SEP]",
            "want",
            "##want",
            "##ed",
            "wa",
            "un",
            "runn",
            "##ing",
            ",",
            "low",
            "lowest",
        ]
        lowerCAmelCase__   :				Dict 			=				os.path.join(self.tmpdirname			,					VOCAB_FILES_NAMES["vocab_file"]   )
        with open(self.vocab_file			,					"w"			,					encoding="utf-8"   ) as vocab_writer:
         vocab_writer.write("".join([x + "\n" for x in vocab_tokens]   )   )






       def 			SCREAMING_SNAKE_CASE_	(   self			,					snake_case   ):





        """simple docstring"""

        lowerCAmelCase__   :				List[Any] 			=				"UNwant\u00E9d,running"
        lowerCAmelCase__   :				Union[str, Any] 			=				"unwanted, running"
        return input_text, output_text






       def 			SCREAMING_SNAKE_CASE_	(   self   ):





        """simple docstring"""

        lowerCAmelCase__   :				str 			=				self.tokenizer_class(self.vocab_file   )

        lowerCAmelCase__   :				List[Any] 			=				tokenizer.tokenize("UNwant\u00E9d,running"   )
        self.assertListEqual(snake_case			,					["un", "##want", "##ed", ",", "runn", "##ing"]   )
        self.assertListEqual(tokenizer.convert_tokens_to_ids(snake_case   )			,					[7, 4, 5, 10, 8, 9]   )






       def 			SCREAMING_SNAKE_CASE_	(   self   ):





        """simple docstring"""

        if not self.test_rust_tokenizer:
         return

        lowerCAmelCase__   :				int 			=				self.get_tokenizer()
        lowerCAmelCase__   :				List[str] 			=				self.get_rust_tokenizer()

        lowerCAmelCase__   :				Optional[Any] 			=				"I was born in 92000, and this is falsé."

        lowerCAmelCase__   :				int 			=				tokenizer.tokenize(snake_case   )
        lowerCAmelCase__   :				int 			=				rust_tokenizer.tokenize(snake_case   )
        self.assertListEqual(snake_case			,					snake_case   )

        lowerCAmelCase__   :				str 			=				tokenizer.encode(snake_case			,					add_special_tokens=snake_case   )
        lowerCAmelCase__   :				List[str] 			=				rust_tokenizer.encode(snake_case			,					add_special_tokens=snake_case   )
        self.assertListEqual(snake_case			,					snake_case   )

        lowerCAmelCase__   :				Tuple 			=				self.get_rust_tokenizer()
        lowerCAmelCase__   :				Tuple 			=				tokenizer.encode(snake_case   )
        lowerCAmelCase__   :				List[Any] 			=				rust_tokenizer.encode(snake_case   )
        self.assertListEqual(snake_case			,					snake_case   )






