

'''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__     ,				A__      ):






 """simple docstring"""



 assert isinstance(SCREAMING_SNAKE_CASE_     ,				SCREAMING_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 		_A     (    A__     ,				A__     ,				A__     ,				A__      ):






 """simple docstring"""



 __lowercase							  = tmp_path / 'cache'
 __lowercase							  = {'col_1': 'string', 'col_2': 'int64', 'col_3': 'float64'}
 with assert_arrow_memory_increases() if keep_in_memory else assert_arrow_memory_doesnt_increase():
  __lowercase							  = SqlDatasetReader(
      '''dataset'''     ,				'''sqlite:///''' + sqlite_path     ,				cache_dir=SCREAMING_SNAKE_CASE_     ,				keep_in_memory=SCREAMING_SNAKE_CASE_      ).read()
 _check_sql_dataset(SCREAMING_SNAKE_CASE_     ,				SCREAMING_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 		_A     (    A__     ,				A__     ,				A__     ,				A__      ):






 """simple docstring"""



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


def 		_A     (    A__      ):






 """simple docstring"""



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


@require_sqlalchemy
def 		_A     (    A__     ,				A__     ,				A__      ):






 """simple docstring"""



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

 __lowercase							  = iter_sql_file(SCREAMING_SNAKE_CASE_      )
 __lowercase							  = iter_sql_file(SCREAMING_SNAKE_CASE_      )

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


@require_sqlalchemy
def 		_A     (    A__     ,				A__     ,				A__      ):






 """simple docstring"""



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

 __lowercase							  = iter_sql_file(SCREAMING_SNAKE_CASE_      )
 __lowercase							  = iter_sql_file(SCREAMING_SNAKE_CASE_      )

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






@require_sqlalchemy
def 		_A     (    A__     ,				A__     ,				A__      ):






 """simple docstring"""



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



import re
def  lowerCAmelCase__			(  SCREAMING_SNAKE_CASE_     )				->		str:

			if len(re.findall('[ATCG]'       ,							SCREAMING_SNAKE_CASE_     )     ) != len(SCREAMING_SNAKE_CASE_     ):
						raise ValueError('Invalid Strand'     )

			return dna.translate(dna.maketrans('ATCG'       ,							'TAGC'     )     )


if __name__ == "__main__":
					import doctest

					doctest.testmod()