
import contextlib
import os
import sqlitea

import pytest

from datasets import Dataset, Features, Value
from datasets.io.sql import SqlDatasetReader, SqlDatasetWriter

from ..utils import assert_arrow_memory_doesnt_increase, assert_arrow_memory_increases, require_sqlalchemy






def 		_UpperCAmelCase   (	UpperCamelCase:     Any			,							UpperCamelCase:     List[Any]  ):






	"""simple docstring"""


	assert isinstance(UpperCamelCase			,							UpperCamelCase  )
	assert dataset.num_rows == 4
	assert dataset.num_columns == 3
	assert dataset.column_names == ["col_1", "col_2", "col_3"]
	for feature, expected_dtype in expected_features.items():
		assert dataset.features[feature].dtype == expected_dtype






@require_sqlalchemy
@pytest.mark.parametrize("keep_in_memory"			,							[False, True]  )
def 		_UpperCAmelCase   (	UpperCamelCase:     List[str]			,							UpperCamelCase:     List[str]			,							UpperCamelCase:     Union[str, Any]			,							UpperCamelCase:     Tuple  ):






	"""simple docstring"""


	__lowerCAmelCase         =							tmp_path / "cache"
	__lowerCAmelCase         =							{"col_1": "string", "col_2": "int64", "col_3": "float64"}
	with assert_arrow_memory_increases() if keep_in_memory else assert_arrow_memory_doesnt_increase():
		__lowerCAmelCase         =							SqlDatasetReader(
		    "dataset"			,							"sqlite:///" + sqlite_path			,							cache_dir=UpperCamelCase			,							keep_in_memory=UpperCamelCase  ).read()
	_check_sql_dataset(UpperCamelCase			,							UpperCamelCase  )






@require_sqlalchemy
@pytest.mark.parametrize(
    "features"			,							[
        None,
        {"col_1": "string", "col_2": "int64", "col_3": "float64"},
        {"col_1": "string", "col_2": "string", "col_3": "string"},
        {"col_1": "int32", "col_2": "int32", "col_3": "int32"},
        {"col_1": "float32", "col_2": "float32", "col_3": "float32"},
    ]			,							)
def 		_UpperCAmelCase   (	UpperCamelCase:     Optional[int]			,							UpperCamelCase:     Optional[int]			,							UpperCamelCase:     List[str]			,							UpperCamelCase:     str  ):






	"""simple docstring"""


	__lowerCAmelCase         =							tmp_path / "cache"
	__lowerCAmelCase         =							{"col_1": "string", "col_2": "int64", "col_3": "float64"}
	__lowerCAmelCase         =							features.copy() if features else default_expected_features
	__lowerCAmelCase         =							(
	    Features({feature: Value(UpperCamelCase  ) for feature, dtype in features.items()}  ) if features is not None else None
	)
	__lowerCAmelCase         =							SqlDatasetReader("dataset"			,							"sqlite:///" + sqlite_path			,							features=UpperCamelCase			,							cache_dir=UpperCamelCase  ).read()
	_check_sql_dataset(UpperCamelCase			,							UpperCamelCase  )






def 		_UpperCAmelCase   (	UpperCamelCase:     Optional[int]  ):






	"""simple docstring"""


	with contextlib.closing(sqlitea.connect(UpperCamelCase  )  ) as con:
		__lowerCAmelCase         =							con.cursor()
		cur.execute("SELECT * FROM dataset"  )
		for row in cur:
			yield row






@require_sqlalchemy
def 		_UpperCAmelCase   (	UpperCamelCase:     Union[str, Any]			,							UpperCamelCase:     Union[str, Any]			,							UpperCamelCase:     List[str]  ):






	"""simple docstring"""


	__lowerCAmelCase         =							tmp_path / "cache"
	__lowerCAmelCase         =							os.path.join(UpperCamelCase			,							"tmp.sql"  )
	__lowerCAmelCase         =							SqlDatasetReader("dataset"			,							"sqlite:///" + sqlite_path			,							cache_dir=UpperCamelCase  ).read()
	SqlDatasetWriter(UpperCamelCase			,							"dataset"			,							"sqlite:///" + output_sqlite_path			,							num_proc=1  ).write()

	__lowerCAmelCase         =							iter_sql_file(UpperCamelCase  )
	__lowerCAmelCase         =							iter_sql_file(UpperCamelCase  )

	for rowa, rowa in zip(UpperCamelCase			,							UpperCamelCase  ):
		assert rowa == rowa






@require_sqlalchemy
def 		_UpperCAmelCase   (	UpperCamelCase:     Any			,							UpperCamelCase:     List[Any]			,							UpperCamelCase:     str  ):






	"""simple docstring"""


	__lowerCAmelCase         =							tmp_path / "cache"
	__lowerCAmelCase         =							os.path.join(UpperCamelCase			,							"tmp.sql"  )
	__lowerCAmelCase         =							SqlDatasetReader("dataset"			,							"sqlite:///" + sqlite_path			,							cache_dir=UpperCamelCase  ).read()
	SqlDatasetWriter(UpperCamelCase			,							"dataset"			,							"sqlite:///" + output_sqlite_path			,							num_proc=2  ).write()

	__lowerCAmelCase         =							iter_sql_file(UpperCamelCase  )
	__lowerCAmelCase         =							iter_sql_file(UpperCamelCase  )

	for rowa, rowa in zip(UpperCamelCase			,							UpperCamelCase  ):
		assert rowa == rowa







@require_sqlalchemy
def 		_UpperCAmelCase   (	UpperCamelCase:     str			,							UpperCamelCase:     Dict			,							UpperCamelCase:     Any  ):






	"""simple docstring"""


	__lowerCAmelCase         =							tmp_path / "cache"
	__lowerCAmelCase         =							os.path.join(UpperCamelCase			,							"tmp.sql"  )
	__lowerCAmelCase         =							SqlDatasetReader("dataset"			,							"sqlite:///" + sqlite_path			,							cache_dir=UpperCamelCase  ).read()
	with pytest.raises(UpperCamelCase  ):
		SqlDatasetWriter(UpperCamelCase			,							"dataset"			,							"sqlite:///" + output_sqlite_path			,							num_proc=0  ).write()








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       a		:







							def __init__(						self  :  Optional[Any]      ,				snake_case__  :  int      ,				snake_case__  :  int      ,				snake_case__  :  int      ,				snake_case__  :  int      ,				snake_case__  :  float      ,				snake_case__  :  Node | None      ,				):
								"""simple docstring"""







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







							def       UpperCAmelCase__					(						self  :  List[str] ):
								"""simple docstring"""







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







							def __lt__(						self  :  Optional[int]      ,				snake_case__  :  int ):
								"""simple docstring"""







								return self.f_cost < other.f_cost

class       a		:







							def __init__(						self  :  Dict      ,				snake_case__  :  tuple[int, int]      ,				snake_case__  :  tuple[int, int] ):
								"""simple docstring"""







								__lowerCAmelCase         =							Node(start[1]      ,				start[0]      ,				goal[1]      ,				goal[0]      ,				0      ,				snake_case__ )
								__lowerCAmelCase         =							Node(goal[1]      ,				goal[0]      ,				goal[1]      ,				goal[0]      ,				99_999      ,				snake_case__ )

								__lowerCAmelCase         =							[self.start]
								__lowerCAmelCase         =							[]

								__lowerCAmelCase         =							False







							def       UpperCAmelCase__					(						self  :  Dict ):
								"""simple docstring"""







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

									if current_node.pos == self.target.pos:
										__lowerCAmelCase         =							True
										return self.retrace_path(snake_case__ )

									self.closed_nodes.append(snake_case__ )
									__lowerCAmelCase         =							self.get_successors(snake_case__ )

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

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

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







							def       UpperCAmelCase__					(						self  :  int      ,				snake_case__  :  Node ):
								"""simple docstring"""







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

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

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

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







							def       UpperCAmelCase__					(						self  :  List[str]      ,				snake_case__  :  Node | None ):
								"""simple docstring"""







								__lowerCAmelCase         =							node
								__lowerCAmelCase         =							[]
								while current_node is not None:
									path.append((current_node.pos_y, current_node.pos_x) )
									__lowerCAmelCase         =							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)






