



"""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							(    __snake_case   ,__snake_case      )		->  Union[str, Any]:
			assert isinstance(__snake_case   ,__snake_case      )
			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							(    __snake_case   ,__snake_case   ,__snake_case   ,__snake_case      )		->  List[str]:
			__lowerCAmelCase :    str				=			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 :    Any				=			SqlDatasetReader(
						    "dataset"   ,"sqlite:///" + sqlite_path   ,cache_dir=__snake_case   ,keep_in_memory=__snake_case      ).read()
			_check_sql_dataset(__snake_case   ,__snake_case      )


@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							(    __snake_case   ,__snake_case   ,__snake_case   ,__snake_case      )		->  Tuple:
			__lowerCAmelCase :    Optional[int]				=			tmp_path / "cache"
			__lowerCAmelCase :    str				=			{"col_1": "string", "col_2": "int64", "col_3": "float64"}
			__lowerCAmelCase :    Any				=			features.copy() if features else default_expected_features
			__lowerCAmelCase :    List[Any]				=			(
			    Features({feature: Value(__snake_case      ) for feature, dtype in features.items()}      ) if features is not None else None
			)
			__lowerCAmelCase :    str				=			SqlDatasetReader("dataset"   ,"sqlite:///" + sqlite_path   ,features=__snake_case   ,cache_dir=__snake_case      ).read()
			_check_sql_dataset(__snake_case   ,__snake_case      )


def      _lowercase							(    __snake_case      )		->  Optional[int]:
			with contextlib.closing(sqlitea.connect(__snake_case      )      ) as con:
						__lowerCAmelCase :    List[str]				=			con.cursor()
						cur.execute("SELECT * FROM dataset"      )
						for row in cur:
									yield row


@require_sqlalchemy
def      _lowercase							(    __snake_case   ,__snake_case   ,__snake_case      )		->  Optional[int]:
			__lowerCAmelCase :    int				=			tmp_path / "cache"
			__lowerCAmelCase :    Tuple				=			os.path.join(__snake_case   ,"tmp.sql"      )
			__lowerCAmelCase :    Tuple				=			SqlDatasetReader("dataset"   ,"sqlite:///" + sqlite_path   ,cache_dir=__snake_case      ).read()
			SqlDatasetWriter(__snake_case   ,"dataset"   ,"sqlite:///" + output_sqlite_path   ,num_proc=1      ).write()

			__lowerCAmelCase :    str				=			iter_sql_file(__snake_case      )
			__lowerCAmelCase :    List[Any]				=			iter_sql_file(__snake_case      )

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


@require_sqlalchemy
def      _lowercase							(    __snake_case   ,__snake_case   ,__snake_case      )		->  Tuple:
			__lowerCAmelCase :    List[str]				=			tmp_path / "cache"
			__lowerCAmelCase :    Any				=			os.path.join(__snake_case   ,"tmp.sql"      )
			__lowerCAmelCase :    Optional[int]				=			SqlDatasetReader("dataset"   ,"sqlite:///" + sqlite_path   ,cache_dir=__snake_case      ).read()
			SqlDatasetWriter(__snake_case   ,"dataset"   ,"sqlite:///" + output_sqlite_path   ,num_proc=2      ).write()

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

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





@require_sqlalchemy
def      _lowercase							(    __snake_case   ,__snake_case   ,__snake_case      )		->  List[Any]:
			__lowerCAmelCase :    Optional[int]				=			tmp_path / "cache"
			__lowerCAmelCase :    List[Any]				=			os.path.join(__snake_case   ,"tmp.sql"      )
			__lowerCAmelCase :    List[Any]				=			SqlDatasetReader("dataset"   ,"sqlite:///" + sqlite_path   ,cache_dir=__snake_case      ).read()
			with pytest.raises(__snake_case      ):
						SqlDatasetWriter(__snake_case   ,"dataset"   ,"sqlite:///" + output_sqlite_path   ,num_proc=0      ).write()




"""simple docstring"""






def      _lowercase							(    __snake_case      )		->  float:
			return 10 - x * x


def      _lowercase							(    __snake_case   ,__snake_case      )		->  float:
			# Bolzano theory in order to find if there is a root between a and b
			if equation(__snake_case      ) * equation(__snake_case      ) >= 0:
						raise ValueError("Wrong space!"      )

			__lowerCAmelCase :    List[Any]				=			a
			while (b - a) >= 0.01:
						# Find middle point
						__lowerCAmelCase :    str				=			(a + b) / 2
						# Check if middle point is root
						if equation(__snake_case      ) == 0.0:
									break
						# Decide the side to repeat the steps
						if equation(__snake_case      ) * equation(__snake_case      ) < 0:
									__lowerCAmelCase :    List[Any]				=			c
						else:
									__lowerCAmelCase :    List[str]				=			c
			return c


if __name__ == "__main__":
	import doctest

	doctest.testmod()

	print(bisection(-2, 5))
	print(bisection(0, 6))