






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     (   UpperCamelCase_    : Any			,      UpperCamelCase_    : str      )       ->      Dict:
						"""simple docstring"""







						assert isinstance(_UpperCAmelCase			,      _UpperCAmelCase      )
						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     (   UpperCamelCase_    : Optional[Any]			,      UpperCamelCase_    : Optional[int]			,      UpperCamelCase_    : Optional[int]			,      UpperCamelCase_    : str      )       ->      Optional[Any]:
						"""simple docstring"""







						lowerCAmelCase__       					=  tmp_path / """cache"""
						lowerCAmelCase__       					=  {"""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__       					=  SqlDatasetReader(
												    "dataset"			,      "sqlite:///" + sqlite_path			,      cache_dir=_UpperCAmelCase			,      keep_in_memory=_UpperCAmelCase      ).read()
						_check_sql_dataset(_UpperCAmelCase			,      _UpperCAmelCase      )


@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     (   UpperCamelCase_    : List[Any]			,      UpperCamelCase_    : Dict			,      UpperCamelCase_    : Optional[Any]			,      UpperCamelCase_    : int      )       ->      List[Any]:
						"""simple docstring"""







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


def 				_a     (   UpperCamelCase_    : Optional[Any]      )       ->      List[str]:
						"""simple docstring"""







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


@require_sqlalchemy
def 				_a     (   UpperCamelCase_    : Dict			,      UpperCamelCase_    : Tuple			,      UpperCamelCase_    : List[str]      )       ->      Union[str, Any]:
						"""simple docstring"""







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

						lowerCAmelCase__       					=  iter_sql_file(_UpperCAmelCase      )
						lowerCAmelCase__       					=  iter_sql_file(_UpperCAmelCase      )

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


@require_sqlalchemy
def 				_a     (   UpperCamelCase_    : Optional[int]			,      UpperCamelCase_    : Any			,      UpperCamelCase_    : List[Any]      )       ->      Optional[int]:
						"""simple docstring"""







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

						lowerCAmelCase__       					=  iter_sql_file(_UpperCAmelCase      )
						lowerCAmelCase__       					=  iter_sql_file(_UpperCAmelCase      )

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





@require_sqlalchemy
def 				_a     (   UpperCamelCase_    : Union[str, Any]			,      UpperCamelCase_    : str			,      UpperCamelCase_    : List[Any]      )       ->      List[str]:
						"""simple docstring"""







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










'''simple docstring'''







A__:    Optional[int]					    =       [4, 1, 7, 4, 2, 6, 4, 1, 5, 3, 7, 5]
A__:    Any					    =       [3, 7, 7, 4, 2, 6, 4, 1, 5, 3, 7, 5]
A__:    int					    =       {
    0: '''Sunday''',
    1: '''Monday''',
    2: '''Tuesday''',
    3: '''Wednesday''',
    4: '''Thursday''',
    5: '''Friday''',
    6: '''Saturday''',
}


def 	SCREAMING_SNAKE_CASE_					(  _UpperCAmelCase	:	int    ,_UpperCAmelCase	:	int    ,_UpperCAmelCase	:	int  )  ->			str:
       assert len(str(_UpperCAmelCase  )  ) > 2, "year should be in YYYY format"
       assert 1 <= month <= 12, "month should be between 1 to 12"
       assert 1 <= day <= 31, "day should be between 1 to 31"

       # Doomsday algorithm:
       _a    : List[str]     					=year // 100
       _a    : List[str]     					=(5 * (century % 4) + 2) % 7
       _a    : Optional[int]     					=year % 100
       _a    : Any     					=centurian % 12
       _a    : int     					=(
           (centurian // 12) + centurian_m + (centurian_m // 4) + century_anchor
       ) % 7
       _a    : Optional[Any]     					=(
           DOOMSDAY_NOT_LEAP[month - 1]
           if (year % 4 != 0) or (centurian == 0 and (year % 400) == 0)
           else DOOMSDAY_LEAP[month - 1]
       )
       _a    : str     					=(dooms_day + day - day_anchor) % 7
       return WEEK_DAY_NAMES[week_day]


if __name__ == "__main__":
   import doctest

   doctest.testmod()


