"""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"""





def    lowercase_   (   _lowerCamelCase:	int = 600851475143      ) ->      int:



							'''simple docstring'''

							try:
														__lowerCamelCase					:		Optional[Any]		   =     int(_lowerCamelCase      )
							except (TypeError, ValueError):
														raise TypeError("Parameter n must be int or castable to int."      )
							if n <= 0:
														raise ValueError("Parameter n must be greater than or equal to one."      )
							__lowerCamelCase					:		Union[str, Any]		   =     2
							__lowerCamelCase					:		int		   =     0
							if n == 2:
														return 2
							while n > 2:
														while n % i != 0:
																					i += 1
														__lowerCamelCase					:		Dict		   =     i
														while n % i == 0:
																					__lowerCamelCase					:		Union[str, Any]		   =     n // i
														i += 1
							return int(_lowerCamelCase      )


if __name__ == "__main__":
				print(F"""{solution() = }""")