


'''simple docstring'''







from __future__ import annotations

a__  :					Dict        =       list[tuple[int, int]]

a__  :					Tuple        =       [
    [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],
]

a__  :					List[str]        =       ([-1, 0], [0, -1], [1, 0], [0, 1])  # up, left, down, right
class 					lowercase_     :


    def __init__(     self  ,					a  ,					a  ,					a  ,					a  ,					a  ,					a  ,					):
          UpperCamelCase__										=				pos_x
          UpperCamelCase__										=				pos_y
          UpperCamelCase__										=				(pos_y, pos_x)
          UpperCamelCase__										=				goal_x
          UpperCamelCase__										=				goal_y
          UpperCamelCase__										=				g_cost
          UpperCamelCase__										=				parent
          UpperCamelCase__										=				self.calculate_heuristic()


    def    __a							(     self    ):
          UpperCamelCase__										=				abs(self.pos_x - self.goal_x    )
          UpperCamelCase__										=				abs(self.pos_y - self.goal_y    )
          return dx + dy


    def __lt__(     self  ,					a    ):
          return self.f_cost < other.f_cost

class 					lowercase_     :


    def __init__(     self  ,					a  ,					a    ):
          UpperCamelCase__										=				Node(start[1]  ,					start[0]  ,					goal[1]  ,					goal[0]  ,					0  ,					a    )
          UpperCamelCase__										=				Node(goal[1]  ,					goal[0]  ,					goal[1]  ,					goal[0]  ,					9_99_99  ,					a    )

          UpperCamelCase__										=				[self.start]
          UpperCamelCase__										=				[]

          UpperCamelCase__										=				False


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

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

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

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

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

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


    def    __a							(     self  ,					a    ):
          UpperCamelCase__										=				[]
          for action in delta:
                UpperCamelCase__										=				parent.pos_x + action[1]
                UpperCamelCase__										=				parent.pos_y + action[0]

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

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

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


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


if __name__ == "__main__":
  a__  :					Union[str, Any]        =       (0, 0)
  a__  :					Optional[Any]        =       (len(grid) - 1, len(grid[0]) - 1)
  for elem in grid:
    print(elem)

  print('------')

  a__  :					Any        =       GreedyBestFirst(init, goal)
  a__  :					List[Any]        =       greedy_bf.search()
  if path:
    for pos_x, pos_y in path:
      a__  :					str        =       2

    for elem in grid:
      print(elem)









"""simple docstring"""







import os
import sys
import unittest


__lowercase    					=      os.path.abspath(os.path.dirname(os.path.dirname(os.path.dirname(__file__))))
sys.path.append(os.path.join(git_repo_path, """utils"""))

import check_dummies  # noqa: E402
from check_dummies import create_dummy_files, create_dummy_object, find_backend, read_init  # noqa: E402


# Align TRANSFORMERS_PATH in check_dummies with the current path
__lowercase    					=      os.path.join(git_repo_path, """src""", """diffusers""")






class 						_A  (  unittest.TestCase  ):







    """simple docstring"""




    def 	__snake_case							(					self				:    Any):
      a						:		List[Any]      							=			find_backend("    if not is_torch_available():")
      self.assertEqual(__UpperCAmelCase				, "torch")

      # backend_with_underscore = find_backend("    if not is_tensorflow_text_available():")
      # self.assertEqual(backend_with_underscore, "tensorflow_text")

      a						:		Dict      							=			find_backend("    if not (is_torch_available() and is_transformers_available()):")
      self.assertEqual(__UpperCAmelCase				, "torch_and_transformers")

      # double_backend_with_underscore = find_backend(
      #    "    if not (is_sentencepiece_available() and is_tensorflow_text_available()):"
      # )
      # self.assertEqual(double_backend_with_underscore, "sentencepiece_and_tensorflow_text")

      a						:		int      							=			find_backend(
          "    if not (is_torch_available() and is_transformers_available() and is_onnx_available()):")
      self.assertEqual(__UpperCAmelCase				, "torch_and_transformers_and_onnx")






    def 	__snake_case							(					self				:    Union[str, Any]):
      a						:		Dict      							=			read_init()
      # We don't assert on the exact list of keys to allow for smooth grow of backend-specific objects
      self.assertIn("torch"				, __UpperCAmelCase)
      self.assertIn("torch_and_transformers"				, __UpperCAmelCase)
      self.assertIn("flax_and_transformers"				, __UpperCAmelCase)
      self.assertIn("torch_and_transformers_and_onnx"				, __UpperCAmelCase)

      # Likewise, we can't assert on the exact content of a key
      self.assertIn("UNet2DModel"				, objects["torch"])
      self.assertIn("FlaxUNet2DConditionModel"				, objects["flax"])
      self.assertIn("StableDiffusionPipeline"				, objects["torch_and_transformers"])
      self.assertIn("FlaxStableDiffusionPipeline"				, objects["flax_and_transformers"])
      self.assertIn("LMSDiscreteScheduler"				, objects["torch_and_scipy"])
      self.assertIn("OnnxStableDiffusionPipeline"				, objects["torch_and_transformers_and_onnx"])






    def 	__snake_case							(					self				:    Tuple):
      a						:		Optional[int]      							=			create_dummy_object("CONSTANT"				, "'torch'")
      self.assertEqual(__UpperCAmelCase				, "\nCONSTANT = None\n")

      a						:		Dict      							=			create_dummy_object("function"				, "'torch'")
      self.assertEqual(
          __UpperCAmelCase				, "\ndef function(*args, **kwargs):\n    requires_backends(function, 'torch')\n")

      a						:		Optional[Any]      							=			"\nclass FakeClass(metaclass=DummyObject):\n    _backends = 'torch'\n\n    def __init__(self, *args, **kwargs):\n        requires_backends(self, 'torch')\n\n    @classmethod\n    def from_config(cls, *args, **kwargs):\n        requires_backends(cls, 'torch')\n\n    @classmethod\n    def from_pretrained(cls, *args, **kwargs):\n        requires_backends(cls, 'torch')\n"
      a						:		int      							=			create_dummy_object("FakeClass"				, "'torch'")
      self.assertEqual(__UpperCAmelCase				, __UpperCAmelCase)






    def 	__snake_case							(					self				:    List[str]):
      a						:		List[str]      							=			"# This file is autogenerated by the command `make fix-copies`, do not edit.\nfrom ..utils import DummyObject, requires_backends\n\n\nCONSTANT = None\n\n\ndef function(*args, **kwargs):\n    requires_backends(function, [\"torch\"])\n\n\nclass FakeClass(metaclass=DummyObject):\n    _backends = [\"torch\"]\n\n    def __init__(self, *args, **kwargs):\n        requires_backends(self, [\"torch\"])\n\n    @classmethod\n    def from_config(cls, *args, **kwargs):\n        requires_backends(cls, [\"torch\"])\n\n    @classmethod\n    def from_pretrained(cls, *args, **kwargs):\n        requires_backends(cls, [\"torch\"])\n"
      a						:		Tuple      							=			create_dummy_files({"torch": ["CONSTANT", "function", "FakeClass"]})
      self.assertEqual(dummy_files["torch"]				, __UpperCAmelCase)






