





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        __lowerCamelCase (							__a       :Optional[Any]   ,					__a       :List[Any]   )		->    List[str]:






		"""simple docstring"""

		assert isinstance(__a   ,					__a   )
		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        __lowerCamelCase (							__a       :Any   ,					__a       :Tuple   ,					__a       :Tuple   ,					__a       :Tuple   )		->    Any:






		"""simple docstring"""

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







@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        __lowerCamelCase (							__a       :Optional[int]   ,					__a       :Optional[Any]   ,					__a       :List[str]   ,					__a       :Union[str, Any]   )		->    Optional[int]:






		"""simple docstring"""

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







def        __lowerCamelCase (							__a       :Tuple   )		->    Any:






		"""simple docstring"""

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







@require_sqlalchemy
def        __lowerCamelCase (							__a       :Tuple   ,					__a       :Tuple   ,					__a       :str   )		->    List[Any]:






		"""simple docstring"""

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

		A__  				=       iter_sql_file(__a   )
		A__  				=       iter_sql_file(__a   )

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







@require_sqlalchemy
def        __lowerCamelCase (							__a       :Union[str, Any]   ,					__a       :Optional[Any]   ,					__a       :int   )		->    Any:






		"""simple docstring"""

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

		A__  				=       iter_sql_file(__a   )
		A__  				=       iter_sql_file(__a   )

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







@require_sqlalchemy
def        __lowerCamelCase (							__a       :str   ,					__a       :Any   ,					__a       :List[str]   )		->    Optional[Any]:






		"""simple docstring"""

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








from maths.is_square_free import is_square_free
from maths.prime_factors import prime_factors







def        __lowerCamelCase (							__a       :int   )		->    int:






		"""simple docstring"""

		A__  				=       prime_factors(__a   )
		if is_square_free(__a   ):
				return -1 if len(__a   ) % 2 else 1
		return 0


if __name__ == "__main__":
					import doctest

					doctest.testmod()



