



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						(       _A			:				Any			,							_A			:				List[Any]    )->       Tuple:





						"""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  UpperCamelCase						(       _A			:				Any			,							_A			:				Union[str, Any]			,							_A			:				Dict			,							_A			:				Union[str, Any]    )->       List[str]:





						"""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  UpperCamelCase						(       _A			:				str			,							_A			:				str			,							_A			:				Any			,							_A			:				List[str]    )->       Tuple:





						"""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  UpperCamelCase						(       _A			:				Tuple    )->       Dict:





						"""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  UpperCamelCase						(       _A			:				Any			,							_A			:				int			,							_A			:				List[str]    )->       Tuple:





						"""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  UpperCamelCase						(       _A			:				Dict			,							_A			:				int			,							_A			:				Optional[Any]    )->       List[str]:





						"""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  UpperCamelCase						(       _A			:				Tuple			,							_A			:				str			,							_A			:				Any    )->       Union[str, 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()










def  UpperCamelCase						(       _A			:				str			,							_A			:				str    )->       str:





						"""simple docstring"""





						A__							=       len(_A    )
						A__							=       len(_A    )
						A__							=       (
						    first_str_length if first_str_length > second_str_length else second_str_length
						)
						A__							=       []
						for char_count in range(_A    ):
												if char_count < first_str_length:
																		output_list.append(first_str[char_count]    )
												if char_count < second_str_length:
																		output_list.append(second_str[char_count]    )
						return "".join(_A    )


if __name__ == "__main__":
						print(alternative_string_arrange("AB", "XYZ"), end=" ")





