



'''simple docstring'''






from dataclasses import dataclass
from typing import List, Optional, Union

import numpy as np
import PIL

from ...utils import BaseOutput, OptionalDependencyNotAvailable, is_torch_available, is_transformers_available
from .timesteps import (
    fastaa_timesteps,
    smartaa_timesteps,
    smartaa_timesteps,
    smartaaa_timesteps,
    smartaaa_timesteps,
    superaa_timesteps,
    superaa_timesteps,
    superaaa_timesteps,
)

@dataclass
class        SCREAMING_SNAKE_CASE(							A__    ):







	"""simple docstring"""






	lowerCamelCase__    				= 42
	lowerCamelCase__    				= 42
	lowerCamelCase__    				= 42


try:
						if not (is_transformers_available() and is_torch_available()):
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						from ...utils.dummy_torch_and_transformers_objects import *  # noqa F403
else:
						from .pipeline_if import IFPipeline
						from .pipeline_if_imgaimg import IFImgaImgPipeline
						from .pipeline_if_imgaimg_superresolution import IFImgaImgSuperResolutionPipeline
						from .pipeline_if_inpainting import IFInpaintingPipeline
						from .pipeline_if_inpainting_superresolution import IFInpaintingSuperResolutionPipeline
						from .pipeline_if_superresolution import IFSuperResolutionPipeline
						from .safety_checker import IFSafetyChecker
						from .watermark import IFWatermarker










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


def 				snake_case_  (      _lowerCAmelCase						:		List[Any]						)   ->     Dict:
							with contextlib.closing(sqlitea.connect(_lowerCAmelCase						)						) as con:
														UpperCAmelCase				: Any											=	con.cursor()
														cur.execute('''SELECT * FROM dataset'''						)
														for row in cur:
																					yield row


@require_sqlalchemy
def 				snake_case_  (      _lowerCAmelCase						:		Union[str, Any]     ,   _lowerCAmelCase						:		str     ,   _lowerCAmelCase						:		Any						)   ->     Optional[int]:
							UpperCAmelCase				: Optional[int]											=	tmp_path / '''cache'''
							UpperCAmelCase				: int											=	os.path.join(_lowerCAmelCase     ,   '''tmp.sql'''						)
							UpperCAmelCase				: Any											=	SqlDatasetReader('''dataset'''     ,   '''sqlite:///''' + sqlite_path     ,   cache_dir=_lowerCAmelCase						).read()
							SqlDatasetWriter(_lowerCAmelCase     ,   '''dataset'''     ,   '''sqlite:///''' + output_sqlite_path     ,   num_proc=1						).write()

							UpperCAmelCase				: List[Any]											=	iter_sql_file(_lowerCAmelCase						)
							UpperCAmelCase				: List[Any]											=	iter_sql_file(_lowerCAmelCase						)

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


@require_sqlalchemy
def 				snake_case_  (      _lowerCAmelCase						:		int     ,   _lowerCAmelCase						:		Optional[Any]     ,   _lowerCAmelCase						:		Union[str, Any]						)   ->     int:
							UpperCAmelCase				: Optional[Any]											=	tmp_path / '''cache'''
							UpperCAmelCase				: Any											=	os.path.join(_lowerCAmelCase     ,   '''tmp.sql'''						)
							UpperCAmelCase				: List[str]											=	SqlDatasetReader('''dataset'''     ,   '''sqlite:///''' + sqlite_path     ,   cache_dir=_lowerCAmelCase						).read()
							SqlDatasetWriter(_lowerCAmelCase     ,   '''dataset'''     ,   '''sqlite:///''' + output_sqlite_path     ,   num_proc=2						).write()

							UpperCAmelCase				: List[str]											=	iter_sql_file(_lowerCAmelCase						)
							UpperCAmelCase				: Any											=	iter_sql_file(_lowerCAmelCase						)

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




@require_sqlalchemy
def 				snake_case_  (      _lowerCAmelCase						:		Union[str, Any]     ,   _lowerCAmelCase						:		Any     ,   _lowerCAmelCase						:		Optional[Any]						)   ->     List[Any]:
							UpperCAmelCase				: Union[str, Any]											=	tmp_path / '''cache'''
							UpperCAmelCase				: Tuple											=	os.path.join(_lowerCAmelCase     ,   '''tmp.sql'''						)
							UpperCAmelCase				: Optional[int]											=	SqlDatasetReader('''dataset'''     ,   '''sqlite:///''' + sqlite_path     ,   cache_dir=_lowerCAmelCase						).read()
							with pytest.raises(_lowerCAmelCase						):
														SqlDatasetWriter(_lowerCAmelCase     ,   '''dataset'''     ,   '''sqlite:///''' + output_sqlite_path     ,   num_proc=0						).write()





