"""simple docstring"""





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    lowercase_   (   _lowerCamelCase:	str						,   _lowerCamelCase:	Optional[Any]      ) ->      Dict:



       '''simple docstring'''

       assert isinstance(_lowerCamelCase						,   _lowerCamelCase      )
       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    lowercase_   (   _lowerCamelCase:	Tuple						,   _lowerCamelCase:	Optional[Any]						,   _lowerCamelCase:	List[str]						,   _lowerCamelCase:	Optional[Any]      ) ->      int:



       '''simple docstring'''

       __lowerCamelCase					:		Any		   =     tmp_path / "cache"
       __lowerCamelCase					:		Optional[int]		   =     {"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					:		Tuple		   =     SqlDatasetReader(
                  "dataset"						,   "sqlite:///" + sqlite_path						,   cache_dir=_lowerCamelCase						,   keep_in_memory=_lowerCamelCase      ).read()
       _check_sql_dataset(_lowerCamelCase						,   _lowerCamelCase      )


@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    lowercase_   (   _lowerCamelCase:	Optional[int]						,   _lowerCamelCase:	Optional[int]						,   _lowerCamelCase:	Any						,   _lowerCamelCase:	int      ) ->      int:



       '''simple docstring'''

       __lowerCamelCase					:		Optional[Any]		   =     tmp_path / "cache"
       __lowerCamelCase					:		Union[str, Any]		   =     {"col_1": "string", "col_2": "int64", "col_3": "float64"}
       __lowerCamelCase					:		List[str]		   =     features.copy() if features else default_expected_features
       __lowerCamelCase					:		List[str]		   =     (
           Features({feature: Value(_lowerCamelCase      ) for feature, dtype in features.items()}      ) if features is not None else None
       )
       __lowerCamelCase					:		int		   =     SqlDatasetReader("dataset"						,   "sqlite:///" + sqlite_path						,   features=_lowerCamelCase						,   cache_dir=_lowerCamelCase      ).read()
       _check_sql_dataset(_lowerCamelCase						,   _lowerCamelCase      )


def    lowercase_   (   _lowerCamelCase:	Tuple      ) ->      Union[str, Any]:



       '''simple docstring'''

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


@require_sqlalchemy
def    lowercase_   (   _lowerCamelCase:	Optional[Any]						,   _lowerCamelCase:	Tuple						,   _lowerCamelCase:	Tuple      ) ->      Union[str, Any]:



       '''simple docstring'''

       __lowerCamelCase					:		str		   =     tmp_path / "cache"
       __lowerCamelCase					:		Optional[Any]		   =     os.path.join(_lowerCamelCase						,   "tmp.sql"      )
       __lowerCamelCase					:		Optional[int]		   =     SqlDatasetReader("dataset"						,   "sqlite:///" + sqlite_path						,   cache_dir=_lowerCamelCase      ).read()
       SqlDatasetWriter(_lowerCamelCase						,   "dataset"						,   "sqlite:///" + output_sqlite_path						,   num_proc=1      ).write()

       __lowerCamelCase					:		str		   =     iter_sql_file(_lowerCamelCase      )
       __lowerCamelCase					:		int		   =     iter_sql_file(_lowerCamelCase      )

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


@require_sqlalchemy
def    lowercase_   (   _lowerCamelCase:	Optional[int]						,   _lowerCamelCase:	Dict						,   _lowerCamelCase:	Optional[Any]      ) ->      int:



       '''simple docstring'''

       __lowerCamelCase					:		Optional[int]		   =     tmp_path / "cache"
       __lowerCamelCase					:		Any		   =     os.path.join(_lowerCamelCase						,   "tmp.sql"      )
       __lowerCamelCase					:		Optional[int]		   =     SqlDatasetReader("dataset"						,   "sqlite:///" + sqlite_path						,   cache_dir=_lowerCamelCase      ).read()
       SqlDatasetWriter(_lowerCamelCase						,   "dataset"						,   "sqlite:///" + output_sqlite_path						,   num_proc=2      ).write()

       __lowerCamelCase					:		Optional[int]		   =     iter_sql_file(_lowerCamelCase      )
       __lowerCamelCase					:		int		   =     iter_sql_file(_lowerCamelCase      )

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







@require_sqlalchemy
def    lowercase_   (   _lowerCamelCase:	Dict						,   _lowerCamelCase:	List[Any]						,   _lowerCamelCase:	Optional[int]      ) ->      int:



       '''simple docstring'''

       __lowerCamelCase					:		List[Any]		   =     tmp_path / "cache"
       __lowerCamelCase					:		Optional[int]		   =     os.path.join(_lowerCamelCase						,   "tmp.sql"      )
       __lowerCamelCase					:		Dict		   =     SqlDatasetReader("dataset"						,   "sqlite:///" + sqlite_path						,   cache_dir=_lowerCamelCase      ).read()
       with pytest.raises(_lowerCamelCase      ):
              SqlDatasetWriter(_lowerCamelCase						,   "dataset"						,   "sqlite:///" + output_sqlite_path						,   num_proc=0      ).write()
"""simple docstring"""





from __future__ import annotations


def    lowercase_   (   _lowerCamelCase:	list[list[int]]      ) ->      bool:



							'''simple docstring'''

							__lowerCamelCase					:		str		   =     len(_lowerCamelCase      )
							# We need to create solution object to save path.
							__lowerCamelCase					:		List[Any]		   =     [[0 for _ in range(_lowerCamelCase      )] for _ in range(_lowerCamelCase      )]
							__lowerCamelCase					:		Dict		   =     run_maze(_lowerCamelCase						,   0						,   0						,   _lowerCamelCase      )
							if solved:
														print("\n".join(str(_lowerCamelCase      ) for row in solutions      )      )
							else:
														print("No solution exists!"      )
							return solved


def    lowercase_   (   _lowerCamelCase:	list[list[int]]						,   _lowerCamelCase:	int						,   _lowerCamelCase:	int						,   _lowerCamelCase:	list[list[int]]      ) ->      bool:



							'''simple docstring'''

							__lowerCamelCase					:		Dict		   =     len(_lowerCamelCase      )
							# Final check point.
							if i == j == (size - 1):
														__lowerCamelCase					:		Optional[Any]		   =     1
														return True

							__lowerCamelCase					:		int		   =     (not i < 0) and (not j < 0)  # Check lower bounds
							__lowerCamelCase					:		Union[str, Any]		   =     (i < size) and (j < size)  # Check upper bounds

							if lower_flag and upper_flag:
														# check for already visited and block points.
														__lowerCamelCase					:		List[Any]		   =     (not solutions[i][j]) and (not maze[i][j])
														if block_flag:
																					# check visited
																					__lowerCamelCase					:		Dict		   =     1

																					# check for directions
																					if (
																					    run_maze(_lowerCamelCase						,   i + 1						,   _lowerCamelCase						,   _lowerCamelCase      )
																					    or run_maze(_lowerCamelCase						,   _lowerCamelCase						,   j + 1						,   _lowerCamelCase      )
																					    or run_maze(_lowerCamelCase						,   i - 1						,   _lowerCamelCase						,   _lowerCamelCase      )
																					    or run_maze(_lowerCamelCase						,   _lowerCamelCase						,   j - 1						,   _lowerCamelCase      )
																					):
																												return True

																					__lowerCamelCase					:		List[str]		   =     0
																					return False
							return False


if __name__ == "__main__":
				import doctest

				doctest.testmod()