

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 							_lowerCamelCase   (			SCREAMING_SNAKE_CASE		,				SCREAMING_SNAKE_CASE   ):
      '''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 							_lowerCamelCase   (			SCREAMING_SNAKE_CASE		,				SCREAMING_SNAKE_CASE		,				SCREAMING_SNAKE_CASE		,				SCREAMING_SNAKE_CASE   ):
      '''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=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 							_lowerCamelCase   (			SCREAMING_SNAKE_CASE		,				SCREAMING_SNAKE_CASE		,				SCREAMING_SNAKE_CASE		,				SCREAMING_SNAKE_CASE   ):
      '''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(SCREAMING_SNAKE_CASE   ) for feature, dtype in features.items()}   ) if features is not None else None
      )
      A_							       =		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 							_lowerCamelCase   (			SCREAMING_SNAKE_CASE   ):
      '''simple docstring'''







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







@require_sqlalchemy
def 							_lowerCamelCase   (			SCREAMING_SNAKE_CASE		,				SCREAMING_SNAKE_CASE		,				SCREAMING_SNAKE_CASE   ):
      '''simple docstring'''







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

      A_							       =		iter_sql_file(SCREAMING_SNAKE_CASE   )
      A_							       =		iter_sql_file(SCREAMING_SNAKE_CASE   )

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







@require_sqlalchemy
def 							_lowerCamelCase   (			SCREAMING_SNAKE_CASE		,				SCREAMING_SNAKE_CASE		,				SCREAMING_SNAKE_CASE   ):
      '''simple docstring'''







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

      A_							       =		iter_sql_file(SCREAMING_SNAKE_CASE   )
      A_							       =		iter_sql_file(SCREAMING_SNAKE_CASE   )

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







@require_sqlalchemy
def 							_lowerCamelCase   (			SCREAMING_SNAKE_CASE		,				SCREAMING_SNAKE_CASE		,				SCREAMING_SNAKE_CASE   ):
      '''simple docstring'''







      A_							       =		tmp_path / '''cache'''
      A_							       =		os.path.join(SCREAMING_SNAKE_CASE		,				'''tmp.sql'''   )
      A_							       =		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()








def 							_lowerCamelCase   (			SCREAMING_SNAKE_CASE		,				SCREAMING_SNAKE_CASE   ):
      '''simple docstring'''







      return int((input_a, input_a).count(0   ) != 0   )







def 							_lowerCamelCase   (			):
      '''simple docstring'''







      assert nand_gate(0		,				0   ) == 1
      assert nand_gate(0		,				1   ) == 1
      assert nand_gate(1		,				0   ) == 1
      assert nand_gate(1		,				1   ) == 0


if __name__ == "__main__":
      print(nand_gate(0, 0))
      print(nand_gate(0, 1))
      print(nand_gate(1, 0))
      print(nand_gate(1, 1))





