





'''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      __A						(							a_						:  str      ,a_						:  Union[str, Any]	):
		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      __A						(							a_						:  List[str]      ,a_						:  List[Any]      ,a_						:  Optional[Any]      ,a_						:  str	):
		lowerCAmelCase     :    int						=   tmp_path / """cache"""
		lowerCAmelCase     :    Optional[Any]						=   {"""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     :    int						=   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      __A						(							a_						:  Union[str, Any]      ,a_						:  List[Any]      ,a_						:  List[str]      ,a_						:  int	):
		lowerCAmelCase     :    Dict						=   tmp_path / """cache"""
		lowerCAmelCase     :    Tuple						=   {"""col_1""": """string""", """col_2""": """int64""", """col_3""": """float64"""}
		lowerCAmelCase     :    Optional[Any]						=   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     :    Union[str, Any]						=   SqlDatasetReader("dataset"      ,"sqlite:///" + sqlite_path      ,features=__lowerCAmelCase      ,cache_dir=__lowerCAmelCase	).read()
		_check_sql_dataset(__lowerCAmelCase      ,__lowerCAmelCase	)






def      __A						(							a_						:  List[str]	):
		with contextlib.closing(sqlitea.connect(__lowerCAmelCase	)	) as con:
				lowerCAmelCase     :    Union[str, Any]						=   con.cursor()
				cur.execute("SELECT * FROM dataset"	)
				for row in cur:
						yield row






@require_sqlalchemy
def      __A						(							a_						:  int      ,a_						:  Tuple      ,a_						:  Tuple	):
		lowerCAmelCase     :    Tuple						=   tmp_path / """cache"""
		lowerCAmelCase     :    Dict						=   os.path.join(__lowerCAmelCase      ,"tmp.sql"	)
		lowerCAmelCase     :    Union[str, Any]						=   SqlDatasetReader("dataset"      ,"sqlite:///" + sqlite_path      ,cache_dir=__lowerCAmelCase	).read()
		SqlDatasetWriter(__lowerCAmelCase      ,"dataset"      ,"sqlite:///" + output_sqlite_path      ,num_proc=1	).write()

		lowerCAmelCase     :    Tuple						=   iter_sql_file(__lowerCAmelCase	)
		lowerCAmelCase     :    List[str]						=   iter_sql_file(__lowerCAmelCase	)

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






@require_sqlalchemy
def      __A						(							a_						:  Any      ,a_						:  List[str]      ,a_						:  Any	):
		lowerCAmelCase     :    Any						=   tmp_path / """cache"""
		lowerCAmelCase     :    Union[str, Any]						=   os.path.join(__lowerCAmelCase      ,"tmp.sql"	)
		lowerCAmelCase     :    Union[str, Any]						=   SqlDatasetReader("dataset"      ,"sqlite:///" + sqlite_path      ,cache_dir=__lowerCAmelCase	).read()
		SqlDatasetWriter(__lowerCAmelCase      ,"dataset"      ,"sqlite:///" + output_sqlite_path      ,num_proc=2	).write()

		lowerCAmelCase     :    Union[str, Any]						=   iter_sql_file(__lowerCAmelCase	)
		lowerCAmelCase     :    List[Any]						=   iter_sql_file(__lowerCAmelCase	)

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






@require_sqlalchemy
def      __A						(							a_						:  List[str]      ,a_						:  List[Any]      ,a_						:  List[str]	):
		lowerCAmelCase     :    Union[str, Any]						=   tmp_path / """cache"""
		lowerCAmelCase     :    Tuple						=   os.path.join(__lowerCAmelCase      ,"tmp.sql"	)
		lowerCAmelCase     :    Optional[Any]						=   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 collections import namedtuple

lowerCAmelCase       		=      namedtuple("""from_to""", """from_ to""")

lowerCAmelCase       		=      {
    """cubicmeter""": from_to(1, 1),
    """litre""": from_to(0.001, 10_00),
    """kilolitre""": from_to(1, 1),
    """gallon""": from_to(0.00454, 264.172),
    """cubicyard""": from_to(0.76455, 1.30795),
    """cubicfoot""": from_to(0.028, 35.3147),
    """cup""": from_to(0.000236588, 4226.75),
}






def      __A						(							a_						:  float      ,a_						:  str      ,a_						:  str	):
		if from_type not in METRIC_CONVERSION:
				raise ValueError(
				    f'''Invalid \'from_type\' value: {from_type!r}  Supported values are:\n'''
				    + ", ".join(a_	)	)
		if to_type not in METRIC_CONVERSION:
				raise ValueError(
				    f'''Invalid \'to_type\' value: {to_type!r}.  Supported values are:\n'''
				    + ", ".join(a_	)	)
		return value * METRIC_CONVERSION[from_type].from_ * METRIC_CONVERSION[to_type].to


if __name__ == "__main__":
					import doctest

					doctest.testmod()



