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		(						lowerCAmelCase__     ,  lowerCAmelCase__     ):
							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		(						lowerCAmelCase__     ,  lowerCAmelCase__     ,  lowerCAmelCase__     ,  lowerCAmelCase__     ):
							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=__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		(						lowerCAmelCase__     ,  lowerCAmelCase__     ,  lowerCAmelCase__     ,  lowerCAmelCase__     ):
							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(__SCREAMING_SNAKE_CASE     ) for feature, dtype in features.items()}     ) if features is not None else None
							)
							lowerCAmelCase__					     = 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		(						lowerCAmelCase__     ):
							with contextlib.closing(sqlitea.connect(__SCREAMING_SNAKE_CASE     )     ) as con:
														lowerCAmelCase__					     = con.cursor()
														cur.execute('SELECT * FROM dataset'     )
														for row in cur:
																					yield row






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

							lowerCAmelCase__					     = iter_sql_file(__SCREAMING_SNAKE_CASE     )
							lowerCAmelCase__					     = iter_sql_file(__SCREAMING_SNAKE_CASE     )

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






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

							lowerCAmelCase__					     = iter_sql_file(__SCREAMING_SNAKE_CASE     )
							lowerCAmelCase__					     = iter_sql_file(__SCREAMING_SNAKE_CASE     )

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






@require_sqlalchemy
def 				__lowerCamelCase		(						lowerCAmelCase__     ,  lowerCAmelCase__     ,  lowerCAmelCase__     ):
							lowerCAmelCase__					     = tmp_path / "cache"
							lowerCAmelCase__					     = os.path.join(__SCREAMING_SNAKE_CASE     ,  'tmp.sql'     )
							lowerCAmelCase__					     = 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 copy
from dataclasses import dataclass
from pathlib import Path
from typing import Dict, Optional, Union
@dataclass
class     a_			:






 '''simple docstring'''






 UpperCAmelCase_     			= None
 UpperCAmelCase_     			= False
 UpperCAmelCase_     			= False
 UpperCAmelCase_     			= False
 UpperCAmelCase_     			= None
 UpperCAmelCase_     			= None
 UpperCAmelCase_     			= False
 UpperCAmelCase_     			= False
 UpperCAmelCase_     			= False
 UpperCAmelCase_     			= True
 UpperCAmelCase_     			= None
 UpperCAmelCase_     			= 1
 UpperCAmelCase_     			= None
 UpperCAmelCase_     			= False
 UpperCAmelCase_     			= None
 UpperCAmelCase_     			= None




 def 		__snake_case						(      self :  Dict):







        '''simple docstring'''



        return self.__class__(**{k: copy.deepcopy(lowercase__) for k, v in self.__dict__.items()})
