


'''simple docstring'''







from typing import TYPE_CHECKING

from ..utils import _LazyModule


A__:    Optional[int]					    =       {
    '''config''': [
        '''EXTERNAL_DATA_FORMAT_SIZE_LIMIT''',
        '''OnnxConfig''',
        '''OnnxConfigWithPast''',
        '''OnnxSeq2SeqConfigWithPast''',
        '''PatchingSpec''',
    ],
    '''convert''': ['''export''', '''validate_model_outputs'''],
    '''features''': ['''FeaturesManager'''],
    '''utils''': ['''ParameterFormat''', '''compute_serialized_parameters_size'''],
}


if TYPE_CHECKING:
   from .config import (
       EXTERNAL_DATA_FORMAT_SIZE_LIMIT,
       OnnxConfig,
       OnnxConfigWithPast,
       OnnxSeqaSeqConfigWithPast,
       PatchingSpec,
   )
   from .convert import export, validate_model_outputs
   from .features import FeaturesManager
   from .utils import ParameterFormat, compute_serialized_parameters_size

else:
   import sys

   A__:    str					    =       _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)






'''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 	SCREAMING_SNAKE_CASE_					(  _UpperCAmelCase	:	Any    ,_UpperCAmelCase	:	str  )  ->			Dict:
       assert isinstance(_UpperCAmelCase    ,_UpperCAmelCase  )
       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 	SCREAMING_SNAKE_CASE_					(  _UpperCAmelCase	:	Optional[Any]    ,_UpperCAmelCase	:	Optional[int]    ,_UpperCAmelCase	:	Optional[int]    ,_UpperCAmelCase	:	str  )  ->			Optional[Any]:
       _a    : Any     					=tmp_path / """cache"""
       _a    : int     					={"""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    : Tuple     					=SqlDatasetReader(
                  """dataset"""    ,"""sqlite:///""" + sqlite_path    ,cache_dir=_UpperCAmelCase    ,keep_in_memory=_UpperCAmelCase  ).read()
       _check_sql_dataset(_UpperCAmelCase    ,_UpperCAmelCase  )


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


def 	SCREAMING_SNAKE_CASE_					(  _UpperCAmelCase	:	Optional[Any]  )  ->			List[str]:
       with contextlib.closing(sqlitea.connect(_UpperCAmelCase  )  ) as con:
              _a    : Any     					=con.cursor()
              cur.execute("""SELECT * FROM dataset"""  )
              for row in cur:
                     yield row


@require_sqlalchemy
def 	SCREAMING_SNAKE_CASE_					(  _UpperCAmelCase	:	Dict    ,_UpperCAmelCase	:	Tuple    ,_UpperCAmelCase	:	List[str]  )  ->			Union[str, Any]:
       _a    : Union[str, Any]     					=tmp_path / """cache"""
       _a    : Union[str, Any]     					=os.path.join(_UpperCAmelCase    ,"""tmp.sql"""  )
       _a    : Tuple     					=SqlDatasetReader("""dataset"""    ,"""sqlite:///""" + sqlite_path    ,cache_dir=_UpperCAmelCase  ).read()
       SqlDatasetWriter(_UpperCAmelCase    ,"""dataset"""    ,"""sqlite:///""" + output_sqlite_path    ,num_proc=1  ).write()

       _a    : Tuple     					=iter_sql_file(_UpperCAmelCase  )
       _a    : List[Any]     					=iter_sql_file(_UpperCAmelCase  )

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


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

       _a    : List[Any]     					=iter_sql_file(_UpperCAmelCase  )
       _a    : str     					=iter_sql_file(_UpperCAmelCase  )

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


@require_sqlalchemy
def 	SCREAMING_SNAKE_CASE_					(  _UpperCAmelCase	:	Union[str, Any]    ,_UpperCAmelCase	:	str    ,_UpperCAmelCase	:	List[Any]  )  ->			List[str]:
       _a    : List[str]     					=tmp_path / """cache"""
       _a    : Dict     					=os.path.join(_UpperCAmelCase    ,"""tmp.sql"""  )
       _a    : Optional[Any]     					=SqlDatasetReader("""dataset"""    ,"""sqlite:///""" + sqlite_path    ,cache_dir=_UpperCAmelCase  ).read()
       with pytest.raises(_UpperCAmelCase  ):
              SqlDatasetWriter(_UpperCAmelCase    ,"""dataset"""    ,"""sqlite:///""" + output_sqlite_path    ,num_proc=0  ).write()


