





'''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__    (    lowercase :					Tuple, lowercase :					Optional[Any]				)		->		List[str]:





     """simple docstring"""

     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__    (    lowercase :					Optional[Any], lowercase :					Tuple, lowercase :					Dict, lowercase :					Optional[Any]				)		->		Any:





     """simple docstring"""

     _UpperCamelCase       =	tmp_path / '''cache'''
     _UpperCamelCase       =	{'''col_1''': '''string''', '''col_2''': '''int64''', '''col_3''': '''float64'''}
     with assert_arrow_memory_increases() if keep_in_memory else assert_arrow_memory_doesnt_increase():
          _UpperCamelCase       =	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__    (    lowercase :					Optional[Any], lowercase :					int, lowercase :					int, lowercase :					Tuple				)		->		List[Any]:





     """simple docstring"""

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







def  a__    (    lowercase :					str				)		->		Dict:





     """simple docstring"""

     with contextlib.closing(sqlitea.connect(_lowerCAmelCase				)				) as con:
          _UpperCamelCase       =	con.cursor()
          cur.execute('''SELECT * FROM dataset'''				)
          for row in cur:
               yield row







@require_sqlalchemy
def  a__    (    lowercase :					Optional[Any], lowercase :					Dict, lowercase :					Optional[Any]				)		->		str:





     """simple docstring"""

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

     _UpperCamelCase       =	iter_sql_file(_lowerCAmelCase				)
     _UpperCamelCase       =	iter_sql_file(_lowerCAmelCase				)

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







@require_sqlalchemy
def  a__    (    lowercase :					Dict, lowercase :					str, lowercase :					List[Any]				)		->		Optional[Any]:





     """simple docstring"""

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

     _UpperCamelCase       =	iter_sql_file(_lowerCAmelCase				)
     _UpperCamelCase       =	iter_sql_file(_lowerCAmelCase				)

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







@require_sqlalchemy
def  a__    (    lowercase :					Dict, lowercase :					str, lowercase :					List[Any]				)		->		List[str]:





     """simple docstring"""

     _UpperCamelCase       =	tmp_path / '''cache'''
     _UpperCamelCase       =	os.path.join(_lowerCAmelCase, '''tmp.sql'''				)
     _UpperCamelCase       =	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'''

def  a__    (    lowercase :					int				)		->		int:





     """simple docstring"""

     if not isinstance(lowercase, lowercase				):
          raise TypeError('''Input value must be an \'int\' type'''				)

     _UpperCamelCase       =	0
     while number:
          position += 1
          number >>= 1

     return position


if __name__ == "__main__":
   import doctest

   doctest.testmod()



