






import unittest

from transformers import BigBirdTokenizer, BigBirdTokenizerFast
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, require_torch, slow
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin


UpperCAmelCase__							  =						"▁"

UpperCAmelCase__							  =						get_tests_dir("fixtures/test_sentencepiece.model")






@require_sentencepiece
@require_tokenizers
class 						lowercase_   (      lowercase					,    unittest.TestCase  ):






      '''simple docstring'''




      __snake_case	    =    BigBirdTokenizer
      __snake_case	    =    BigBirdTokenizerFast
      __snake_case	    =    True
      __snake_case	    =    True







      def  __lowerCAmelCase   ( self :		int    )       ->Optional[Any]:




       """simple docstring"""


       super().setUp()

       a						    = self.tokenizer_class(__UpperCAmelCase					,   keep_accents=__UpperCAmelCase    )
       tokenizer.save_pretrained(self.tmpdirname    )







      def  __lowerCAmelCase   ( self :		List[str]    )       ->Optional[Any]:




       """simple docstring"""


       a						    = '''<s>'''
       a						    = 1

       self.assertEqual(self.get_tokenizer()._convert_token_to_id(__UpperCAmelCase    )					,   __UpperCAmelCase    )
       self.assertEqual(self.get_tokenizer()._convert_id_to_token(__UpperCAmelCase    )					,   __UpperCAmelCase    )







      def  __lowerCAmelCase   ( self :		List[str]    )       ->List[Any]:




       """simple docstring"""


       a						    = list(self.get_tokenizer().get_vocab().keys()    )

       self.assertEqual(vocab_keys[0]					,   '''<unk>'''    )
       self.assertEqual(vocab_keys[1]					,   '''<s>'''    )
       self.assertEqual(vocab_keys[-1]					,   '''[MASK]'''    )
       self.assertEqual(len(__UpperCAmelCase    )					,   1_004    )







      def  __lowerCAmelCase   ( self :		List[Any]    )       ->Dict:




       """simple docstring"""


       self.assertEqual(self.get_tokenizer().vocab_size					,   1_000    )







      def  __lowerCAmelCase   ( self :		str    )       ->Any:




       """simple docstring"""


       if not self.test_rust_tokenizer:
        return

       a						    = self.get_tokenizer()
       a						    = self.get_rust_tokenizer()

       a						    = '''I was born in 92000, and this is falsé.'''

       a						    = tokenizer.tokenize(__UpperCAmelCase    )
       a						    = rust_tokenizer.tokenize(__UpperCAmelCase    )
       self.assertListEqual(__UpperCAmelCase					,   __UpperCAmelCase    )

       a						    = tokenizer.encode(__UpperCAmelCase					,   add_special_tokens=__UpperCAmelCase    )
       a						    = rust_tokenizer.encode(__UpperCAmelCase					,   add_special_tokens=__UpperCAmelCase    )
       self.assertListEqual(__UpperCAmelCase					,   __UpperCAmelCase    )

       a						    = self.get_rust_tokenizer()
       a						    = tokenizer.encode(__UpperCAmelCase    )
       a						    = rust_tokenizer.encode(__UpperCAmelCase    )
       self.assertListEqual(__UpperCAmelCase					,   __UpperCAmelCase    )







      def  __lowerCAmelCase   ( self :		Optional[Any]    )       ->Optional[Any]:




       """simple docstring"""


       a						    = BigBirdTokenizer(__UpperCAmelCase					,   keep_accents=__UpperCAmelCase    )

       a						    = tokenizer.tokenize('''This is a test'''    )
       self.assertListEqual(__UpperCAmelCase					,   ['''▁This''', '''▁is''', '''▁a''', '''▁t''', '''est''']    )

       self.assertListEqual(
           tokenizer.convert_tokens_to_ids(__UpperCAmelCase    )					,   [285, 46, 10, 170, 382]					,   )

       a						    = tokenizer.tokenize('''I was born in 92000, and this is falsé.'''    )
       self.assertListEqual(
           __UpperCAmelCase					,   [
               SPIECE_UNDERLINE + '''I''',
               SPIECE_UNDERLINE + '''was''',
               SPIECE_UNDERLINE + '''b''',
               '''or''',
               '''n''',
               SPIECE_UNDERLINE + '''in''',
               SPIECE_UNDERLINE + '''''',
               '''9''',
               '''2''',
               '''0''',
               '''0''',
               '''0''',
               ''',''',
               SPIECE_UNDERLINE + '''and''',
               SPIECE_UNDERLINE + '''this''',
               SPIECE_UNDERLINE + '''is''',
               SPIECE_UNDERLINE + '''f''',
               '''al''',
               '''s''',
               '''é''',
               '''.''',
           ]					,   )
       a						    = tokenizer.convert_tokens_to_ids(__UpperCAmelCase    )
       self.assertListEqual(
           __UpperCAmelCase					,   [8, 21, 84, 55, 24, 19, 7, 0, 602, 347, 347, 347, 3, 12, 66, 46, 72, 80, 6, 0, 4]					,   )

       a						    = tokenizer.convert_ids_to_tokens(__UpperCAmelCase    )
       self.assertListEqual(
           __UpperCAmelCase					,   [
               SPIECE_UNDERLINE + '''I''',
               SPIECE_UNDERLINE + '''was''',
               SPIECE_UNDERLINE + '''b''',
               '''or''',
               '''n''',
               SPIECE_UNDERLINE + '''in''',
               SPIECE_UNDERLINE + '''''',
               '''<unk>''',
               '''2''',
               '''0''',
               '''0''',
               '''0''',
               ''',''',
               SPIECE_UNDERLINE + '''and''',
               SPIECE_UNDERLINE + '''this''',
               SPIECE_UNDERLINE + '''is''',
               SPIECE_UNDERLINE + '''f''',
               '''al''',
               '''s''',
               '''<unk>''',
               '''.''',
           ]					,   )







      @cached_property
      def  __lowerCAmelCase   ( self :		Optional[Any]    )       ->Any:




       """simple docstring"""


       return BigBirdTokenizer.from_pretrained('''google/bigbird-roberta-base'''    )







      @slow
      def  __lowerCAmelCase   ( self :		str    )       ->Union[str, Any]:




       """simple docstring"""


       a						    = '''Hello World!'''
       a						    = [65, 18_536, 2_260, 101, 66]

       self.assertListEqual(__UpperCAmelCase					,   self.big_tokenizer.encode(__UpperCAmelCase    )    )







      @slow
      def  __lowerCAmelCase   ( self :		Any    )       ->Dict:




       """simple docstring"""


       a						    = (
           '''This is a very long text with a lot of weird characters, such as: . , ~ ? ( ) " [ ] ! : - . Also we will'''
           ''' add words that should not exsist and be tokenized to <unk>, such as saoneuhaoesuth'''
       )
       # fmt: off
       a						    = [65, 871, 419, 358, 946, 991, 2_521, 452, 358, 1_357, 387, 7_751, 3_536, 112, 985, 456, 126, 865, 938, 5_400, 5_734, 458, 1_368, 467, 786, 2_462, 5_246, 1_159, 633, 865, 4_519, 457, 582, 852, 2_557, 427, 916, 508, 405, 34_324, 497, 391, 408, 11_342, 1_244, 385, 100, 938, 985, 456, 574, 362, 12_597, 3_200, 3_129, 1_172, 66]  # noqa: E231
       # fmt: on
       self.assertListEqual(__UpperCAmelCase					,   self.big_tokenizer.encode(__UpperCAmelCase    )    )







      @require_torch
      @slow
      def  __lowerCAmelCase   ( self :		Dict    )       ->Dict:




       """simple docstring"""


       import torch

       from transformers import BigBirdConfig, BigBirdModel

       # Build sequence
       a						    = list(self.big_tokenizer.get_vocab().keys()    )[:10]
       a						    = ''' '''.join(__UpperCAmelCase    )
       a						    = self.big_tokenizer.encode_plus(__UpperCAmelCase					,   return_tensors='''pt'''					,   return_token_type_ids=__UpperCAmelCase    )
       a						    = self.big_tokenizer.batch_encode_plus(
           [sequence + ''' ''' + sequence]					,   return_tensors='''pt'''					,   return_token_type_ids=__UpperCAmelCase    )

       a						    = BigBirdConfig(attention_type='''original_full'''    )
       a						    = BigBirdModel(__UpperCAmelCase    )

       assert model.get_input_embeddings().weight.shape[0] >= self.big_tokenizer.vocab_size

       with torch.no_grad():
        model(**__UpperCAmelCase    )
        model(**__UpperCAmelCase    )







      @slow
      def  __lowerCAmelCase   ( self :		Optional[Any]    )       ->Optional[int]:




       """simple docstring"""


       a						    = BigBirdTokenizer.from_pretrained('''google/bigbird-roberta-base'''    )
       a						    = tokenizer.decode(tokenizer('''Paris is the [MASK].'''    ).input_ids    )

       self.assertTrue(decoded_text == '''[CLS] Paris is the[MASK].[SEP]'''    )







      @slow
      def  __lowerCAmelCase   ( self :		int    )       ->List[str]:




       """simple docstring"""


       a						    = {'''input_ids''': [[65, 39_286, 458, 36_335, 2_001, 456, 13_073, 13_266, 455, 113, 7_746, 1_741, 11_157, 391, 13_073, 13_266, 455, 113, 3_967, 35_412, 113, 4_936, 109, 3_870, 2_377, 113, 30_084, 45_720, 458, 134, 17_496, 112, 503, 11_672, 113, 118, 112, 5_665, 13_347, 38_687, 112, 1_496, 31_389, 112, 3_268, 47_264, 134, 962, 112, 16_377, 8_035, 23_130, 430, 12_169, 15_518, 28_592, 458, 146, 41_697, 109, 391, 12_169, 15_518, 16_689, 458, 146, 41_358, 109, 452, 726, 4_034, 111, 763, 35_412, 5_082, 388, 1_903, 111, 9_051, 391, 2_870, 48_918, 1_900, 1_123, 550, 998, 112, 9_586, 15_985, 455, 391, 410, 22_955, 37_636, 114, 66], [65, 448, 17_496, 419, 3_663, 385, 763, 113, 27_533, 2_870, 3_283, 13_043, 1_639, 24_713, 523, 656, 24_013, 18_550, 2_521, 517, 27_014, 21_244, 420, 1_212, 1_465, 391, 927, 4_833, 388, 578, 11_786, 114, 66, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [65, 484, 2_169, 7_687, 21_932, 18_146, 726, 363, 17_032, 3_391, 114, 66, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], '''attention_mask''': [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]}  # noqa: E501
       # fmt: on

       self.tokenizer_integration_test_util(
           expected_encoding=__UpperCAmelCase					,   model_name='''google/bigbird-roberta-base'''					,   revision='''215c99f1600e06f83acce68422f2035b2b5c3510'''					,   )










from __future__ import annotations

UpperCAmelCase__							  =						list[tuple[int, int]]

UpperCAmelCase__							  =						[
    [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__							  =						([-1, 0], [0, -1], [1, 0], [0, 1])  # up, left, down, right






class 						lowercase_   :






      '''simple docstring'''




      def __init__( self :		Dict					,   __UpperCAmelCase :		int					,   __UpperCAmelCase :		int					,   __UpperCAmelCase :		int					,   __UpperCAmelCase :		int					,   __UpperCAmelCase :		float					,   __UpperCAmelCase :		Node | None					,   )       ->int:




       """simple docstring"""


       a						    = pos_x
       a						    = pos_y
       a						    = (pos_y, pos_x)
       a						    = goal_x
       a						    = goal_y
       a						    = g_cost
       a						    = parent
       a						    = self.calculate_heuristic()







      def  __lowerCAmelCase   ( self :		Any    )       ->float:




       """simple docstring"""


       a						    = abs(self.pos_x - self.goal_x    )
       a						    = abs(self.pos_y - self.goal_y    )
       return dx + dy







      def __lt__( self :		Any					,   __UpperCAmelCase :		Tuple    )       ->bool:




       """simple docstring"""


       return self.f_cost < other.f_cost






class 						lowercase_   :






      '''simple docstring'''




      def __init__( self :		Optional[Any]					,   __UpperCAmelCase :		tuple[int, int]					,   __UpperCAmelCase :		tuple[int, int]    )       ->Dict:




       """simple docstring"""


       a						    = Node(start[1]					,   start[0]					,   goal[1]					,   goal[0]					,   0					,   __UpperCAmelCase    )
       a						    = Node(goal[1]					,   goal[0]					,   goal[1]					,   goal[0]					,   99_999					,   __UpperCAmelCase    )

       a						    = [self.start]
       a						    = []

       a						    = False







      def  __lowerCAmelCase   ( self :		str    )       ->Path | None:




       """simple docstring"""


       while self.open_nodes:
        # Open Nodes are sorted using __lt__
        self.open_nodes.sort()
        a						    = self.open_nodes.pop(0    )

        if current_node.pos == self.target.pos:
         a						    = True
         return self.retrace_path(__UpperCAmelCase    )

        self.closed_nodes.append(__UpperCAmelCase    )
        a						    = self.get_successors(__UpperCAmelCase    )

        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(__UpperCAmelCase    )
         else:
          # retrieve the best current path
          a						    = self.open_nodes.pop(self.open_nodes.index(__UpperCAmelCase    )    )

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

       if not self.reached:
        return [self.start.pos]
       return None







      def  __lowerCAmelCase   ( self :		Dict					,   __UpperCAmelCase :		Node    )       ->list[Node]:




       """simple docstring"""


       a						    = []
       for action in delta:
        a						    = parent.pos_x + action[1]
        a						    = parent.pos_y + action[0]

        if not (0 <= pos_x <= len(grid[0]    ) - 1 and 0 <= pos_y <= len(__UpperCAmelCase    ) - 1):
         continue

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

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







      def  __lowerCAmelCase   ( self :		Optional[Any]					,   __UpperCAmelCase :		Node | None    )       ->Path:




       """simple docstring"""


       a						    = node
       a						    = []
       while current_node is not None:
        path.append((current_node.pos_y, current_node.pos_x)    )
        a						    = current_node.parent
       path.reverse()
       return path


if __name__ == "__main__":
     UpperCAmelCase__							  =						(0, 0)
     UpperCAmelCase__							  =						(len(grid) - 1, len(grid[0]) - 1)
     for elem in grid:
          print(elem)

     print("------")

     UpperCAmelCase__							  =						GreedyBestFirst(init, goal)
     UpperCAmelCase__							  =						greedy_bf.search()
     if path:
          for pos_x, pos_y in path:
               UpperCAmelCase__							  =						2

          for elem in grid:
               print(elem)


