'''simple docstring'''






import json
import os
import unittest

from transformers import CLIPTokenizer, CLIPTokenizerFast
from transformers.models.clip.tokenization_clip import VOCAB_FILES_NAMES
from transformers.testing_utils import require_ftfy, require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin







@require_tokenizers
class lowercase_       (		_UpperCamelCase    ,    unittest.TestCase			):







   """simple docstring"""

   __lowerCAmelCase         =   CLIPTokenizer
   __lowerCAmelCase         =   CLIPTokenizerFast
   __lowerCAmelCase         =   True
   __lowerCAmelCase         =   {}
   __lowerCAmelCase         =   False
   def 	__UpperCAmelCase   (      self      :			Dict     )  ->			Tuple:
        super().setUp()

        # fmt: off
        _A    		=  ['l', 'o', 'w', 'e', 'r', 's', 't', 'i', 'd', 'n', 'lo', 'l</w>', 'w</w>', 'r</w>', 't</w>', 'low</w>', 'er</w>', 'lowest</w>', 'newer</w>', 'wider', '<unk>', '<|startoftext|>', '<|endoftext|>']
        # fmt: on
        _A    		=  dict(zip(UpperCamelCase__, range(len(UpperCamelCase__     )     )     )     )
        _A    		=  ['#version: 0.2', 'l o', 'lo w</w>', 'e r</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(UpperCamelCase__     ) + '\n'     )
        with open(self.merges_file, 'w', encoding='utf-8'     ) as fp:
             fp.write('\n'.join(UpperCamelCase__     )     )
   def 	__UpperCAmelCase   (      self      :			List[Any], **UpperCamelCase__      :			Optional[Any]     )  ->			int:
        kwargs.update(self.special_tokens_map     )
        return CLIPTokenizer.from_pretrained(self.tmpdirname, **UpperCamelCase__     )
   def 	__UpperCAmelCase   (      self      :			str, **UpperCamelCase__      :			List[str]     )  ->			Tuple:
        kwargs.update(self.special_tokens_map     )
        return CLIPTokenizerFast.from_pretrained(self.tmpdirname, **UpperCamelCase__     )
   def 	__UpperCAmelCase   (      self      :			Dict, UpperCamelCase__      :			str     )  ->			Tuple:
        _A    		=  'lower newer'
        _A    		=  'lower newer'
        return input_text, output_text
   def 	__UpperCAmelCase   (      self      :			List[Any]     )  ->			List[Any]:
        _A    		=  CLIPTokenizer(self.vocab_file, self.merges_file, **self.special_tokens_map     )
        _A    		=  'lower newer'
        _A    		=  ['lo', 'w', 'er</w>', 'n', 'e', 'w', 'er</w>']
        _A    		=  tokenizer.tokenize(UpperCamelCase__     )
        self.assertListEqual(UpperCamelCase__, UpperCamelCase__     )

        _A    		=  tokens + [tokenizer.unk_token]
        _A    		=  [10, 2, 16, 9, 3, 2, 16, 20]
        self.assertListEqual(tokenizer.convert_tokens_to_ids(UpperCamelCase__     ), UpperCamelCase__     )
   @require_ftfy
   def 	__UpperCAmelCase   (      self      :			int     )  ->			Any:
        for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
             with self.subTest(f'{tokenizer.__class__.__name__} ({pretrained_name})'     ):
                  _A    		=  self.tokenizer_class.from_pretrained(UpperCamelCase__, **UpperCamelCase__     )
                  _A    		=  self.rust_tokenizer_class.from_pretrained(UpperCamelCase__, **UpperCamelCase__     )

                  _A    		=  'A\n\'ll 11p223RF☆ho!!to?\'d\'d\'\'d of a cat to-$\'\'d.'
                  _A    		=  tokenizer_s.tokenize(UpperCamelCase__     )
                  _A    		=  tokenizer_r.tokenize(UpperCamelCase__     )

                  self.assertListEqual(UpperCamelCase__, UpperCamelCase__     )

                  # Test that the tokenization is identical on an example containing a character (Latin Small Letter A
                  # with Tilde) encoded in 2 different ways
                  _A    		=  'xa\u0303y' + ' ' + 'x\xe3y'
                  _A    		=  tokenizer_s.tokenize(UpperCamelCase__     )
                  _A    		=  tokenizer_r.tokenize(UpperCamelCase__     )

                  self.assertListEqual(UpperCamelCase__, UpperCamelCase__     )

                  # Test that the tokenization is identical on unicode of space type
                  _A    		=  [
                      '\u0009',  # (horizontal tab, '\t')
                      '\u000B',  # (vertical tab)
                      '\u000C',  # (form feed)
                      '\u0020',  # (space, ' ')
                      '\u200E',  # (left-to-right mark):w
                      '\u200F',  # (right-to-left mark)
                  ]
                  for unicode_seq in spaces_unicodes:
                       _A    		=  tokenizer_s.tokenize(UpperCamelCase__     )
                       _A    		=  tokenizer_r.tokenize(UpperCamelCase__     )

                       self.assertListEqual(UpperCamelCase__, UpperCamelCase__     )

                  # Test that the tokenization is identical on unicode of line break type
                  _A    		=  [
                      '\u000A',  # (line feed, '\n')
                      '\r\n',  # (carriage return and line feed, '\r\n')
                      '\u000D',  # (carriage return, '\r')
                      '\r',  # (carriage return, '\r')
                      '\u000D',  # (carriage return, '\r')
                      '\u2028',  # (line separator)
                      '\u2029',  # (paragraph separator)
                      # "\u0085", # (next line)
                  ]

                  # The tokenization is not identical for the character "\u0085" (next line). The slow version using ftfy transforms
                  # it into the Horizontal Ellipsis character "…" ("\u2026") while the fast version transforms it into a
                  # space (and thus into an empty list).

                  for unicode_seq in line_break_unicodes:
                       _A    		=  tokenizer_s.tokenize(UpperCamelCase__     )
                       _A    		=  tokenizer_r.tokenize(UpperCamelCase__     )

                       self.assertListEqual(UpperCamelCase__, UpperCamelCase__     )
   def 	__UpperCAmelCase   (      self      :			Union[str, Any]     )  ->			str:
        # Test which aims to verify that the offsets are well adapted to the argument `add_prefix_space`
        for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
             with self.subTest(f'{tokenizer.__class__.__name__} ({pretrained_name})'     ):
                  _A    		=  'hello'  # `hello` is a token in the vocabulary of `pretrained_name`
                  _A    		=  f'{text_of_1_token} {text_of_1_token}'

                  _A    		=  self.rust_tokenizer_class.from_pretrained(
                      UpperCamelCase__, use_fast=UpperCamelCase__, )
                  _A    		=  tokenizer_r(UpperCamelCase__, return_offsets_mapping=UpperCamelCase__, add_special_tokens=UpperCamelCase__     )
                  self.assertEqual(encoding.offset_mapping[0], (0, len(UpperCamelCase__     ))     )
                  self.assertEqual(
                      encoding.offset_mapping[1], (len(UpperCamelCase__     ) + 1, len(UpperCamelCase__     ) + 1 + len(UpperCamelCase__     )), )

                  _A    		=  f' {text}'

                  _A    		=  self.rust_tokenizer_class.from_pretrained(
                      UpperCamelCase__, use_fast=UpperCamelCase__, )
                  _A    		=  tokenizer_r(UpperCamelCase__, return_offsets_mapping=UpperCamelCase__, add_special_tokens=UpperCamelCase__     )
                  self.assertEqual(encoding.offset_mapping[0], (1, 1 + len(UpperCamelCase__     ))     )
                  self.assertEqual(
                      encoding.offset_mapping[1], (1 + len(UpperCamelCase__     ) + 1, 1 + len(UpperCamelCase__     ) + 1 + len(UpperCamelCase__     )), )
   def 	__UpperCAmelCase   (      self      :			Optional[Any]     )  ->			Dict:
        # Test related to the breaking change introduced in transformers v4.17.0
        # We need to check that an error in raised when the user try to load a previous version of the tokenizer.
        with self.assertRaises(UpperCamelCase__     ) as context:
             self.rust_tokenizer_class.from_pretrained('robot-test/old-clip-tokenizer'     )

        self.assertTrue(
            context.exception.args[0].startswith(
                'The `backend_tokenizer` provided does not match the expected format.'     )     )
   @require_ftfy
   def 	__UpperCAmelCase   (      self      :			Any     )  ->			List[Any]:
        super().test_tokenization_python_rust_equals()

   def 	__UpperCAmelCase   (      self      :			str     )  ->			str:
        # CLIP always lower cases letters
        pass










import numpy as np


class        __magic_name__	:





     """simple docstring"""



     def __init__(				self							:List[str]	):





        '''simple docstring'''




        A_       :					Optional[int]        =      (0, 0)
        A_       :					Dict        =      None
        A_       :					Optional[Any]        =      0
        A_       :					Optional[Any]        =      0
        A_       :					List[Any]        =      0



     def __eq__(				self							:int      ,   snake_case							:str	):





        '''simple docstring'''




        return self.position == cell.position





     def     SCREAMING_SNAKE_CASE		(				self							:List[Any]	):





        '''simple docstring'''




        print(self.position	)




class        __magic_name__	:





     """simple docstring"""



     def __init__(				self							:Dict      ,   snake_case							:Optional[Any]=(5, 5)	):





        '''simple docstring'''




        A_       :					Optional[int]        =      np.zeros(snake_case	)
        A_       :					Tuple        =      world_size[0]
        A_       :					Optional[Any]        =      world_size[1]



     def     SCREAMING_SNAKE_CASE		(				self							:Optional[Any]	):





        '''simple docstring'''




        print(self.w	)





     def     SCREAMING_SNAKE_CASE		(				self							:Tuple      ,   snake_case							:int	):





        '''simple docstring'''




        A_       :					Optional[int]        =      [
            (-1, -1),
            (-1, 0),
            (-1, 1),
            (0, -1),
            (0, 1),
            (1, -1),
            (1, 0),
            (1, 1),
        ]
        A_       :					Union[str, Any]        =      cell.position[0]
        A_       :					int        =      cell.position[1]
        A_       :					Optional[int]        =      []
        for n in neughbour_cord:
           A_       :					List[str]        =      current_x + n[0]
           A_       :					Optional[Any]        =      current_y + n[1]
           if 0 <= x < self.world_x_limit and 0 <= y < self.world_y_limit:
              A_       :					List[Any]        =      Cell()
              A_       :					Tuple        =      (x, y)
              A_       :					List[Any]        =      cell
              neighbours.append(snake_case	)
        return neighbours




def   __snake_case    (       _lowerCAmelCase			:			List[str]					,					_lowerCAmelCase			:			Optional[Any]					,					_lowerCAmelCase			:			str						)			->    str:
   A_       :					Optional[Any]        =      []
   A_       :					Tuple        =      []
   _open.append(_lowerCAmelCase						)

   while _open:
      A_       :					List[Any]        =      np.argmin([n.f for n in _open]						)
      A_       :					Optional[Any]        =      _open[min_f]
      _closed.append(_open.pop(_lowerCAmelCase						)						)
      if current == goal:
         break
      for n in world.get_neigbours(_lowerCAmelCase						):
         for c in _closed:
            if c == n:
               continue
         A_       :					int        =      current.g + 1
         A_   ,    A_       :					List[str]        =      n.position
         A_   ,    A_       :					Any        =      goal.position
         A_       :					Optional[Any]        =      (ya - ya) ** 2 + (xa - xa) ** 2
         A_       :					Optional[Any]        =      n.h + n.g

         for c in _open:
            if c == n and c.f < n.f:
               continue
         _open.append(_lowerCAmelCase						)
   A_       :					Optional[int]        =      []
   while current.parent is not None:
      path.append(current.position						)
      A_       :					List[Any]        =      current.parent
   path.append(current.position						)
   return path[::-1]


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