





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    __UpperCAmelCase(      lowercase_ ,    lowercase_      ):
       assert isinstance(lowercase_ ,    lowercase_      )
       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    __UpperCAmelCase(      lowercase_ ,    lowercase_ ,    lowercase_ ,    lowercase_      ):
       _lowerCamelCase							:     Tuple	=		tmp_path / '''cache'''
       _lowerCamelCase							:     Any	=		{'''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							:     Any	=		SqlDatasetReader(
                  '''dataset''' ,    '''sqlite:///''' + sqlite_path ,    cache_dir=lowercase_ ,    keep_in_memory=lowercase_      ).read()
       _check_sql_dataset(lowercase_ ,    lowercase_      )




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




def    __UpperCAmelCase(      lowercase_      ):
       with contextlib.closing(sqlitea.connect(lowercase_      )      ) as con:
              _lowerCamelCase							:     str	=		con.cursor()
              cur.execute('''SELECT * FROM dataset'''      )
              for row in cur:
                     yield row




@require_sqlalchemy
def    __UpperCAmelCase(      lowercase_ ,    lowercase_ ,    lowercase_      ):
       _lowerCamelCase							:     Any	=		tmp_path / '''cache'''
       _lowerCamelCase							:     str	=		os.path.join(lowercase_ ,    '''tmp.sql'''      )
       _lowerCamelCase							:     Tuple	=		SqlDatasetReader('''dataset''' ,    '''sqlite:///''' + sqlite_path ,    cache_dir=lowercase_      ).read()
       SqlDatasetWriter(lowercase_ ,    '''dataset''' ,    '''sqlite:///''' + output_sqlite_path ,    num_proc=1      ).write()

       _lowerCamelCase							:     Optional[Any]	=		iter_sql_file(lowercase_      )
       _lowerCamelCase							:     Any	=		iter_sql_file(lowercase_      )

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




@require_sqlalchemy
def    __UpperCAmelCase(      lowercase_ ,    lowercase_ ,    lowercase_      ):
       _lowerCamelCase							:     Union[str, Any]	=		tmp_path / '''cache'''
       _lowerCamelCase							:     int	=		os.path.join(lowercase_ ,    '''tmp.sql'''      )
       _lowerCamelCase							:     Dict	=		SqlDatasetReader('''dataset''' ,    '''sqlite:///''' + sqlite_path ,    cache_dir=lowercase_      ).read()
       SqlDatasetWriter(lowercase_ ,    '''dataset''' ,    '''sqlite:///''' + output_sqlite_path ,    num_proc=2      ).write()

       _lowerCamelCase							:     List[Any]	=		iter_sql_file(lowercase_      )
       _lowerCamelCase							:     Optional[Any]	=		iter_sql_file(lowercase_      )

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




@require_sqlalchemy
def    __UpperCAmelCase(      lowercase_ ,    lowercase_ ,    lowercase_      ):
       _lowerCamelCase							:     Any	=		tmp_path / '''cache'''
       _lowerCamelCase							:     List[Any]	=		os.path.join(lowercase_ ,    '''tmp.sql'''      )
       _lowerCamelCase							:     Dict	=		SqlDatasetReader('''dataset''' ,    '''sqlite:///''' + sqlite_path ,    cache_dir=lowercase_      ).read()
       with pytest.raises(lowercase_      ):
              SqlDatasetWriter(lowercase_ ,    '''dataset''' ,    '''sqlite:///''' + output_sqlite_path ,    num_proc=0      ).write()








import warnings

from ...utils import logging
from .image_processing_donut import DonutImageProcessor


_lowerCamelCase			       =      logging.get_logger(__name__)







class 			__A       (      lowerCamelCase__  ):




      """simple docstring"""







      def __init__(		self      ,							*a__      ,							**a__):



             """simple docstring"""





             warnings.warn(
                 '''The class DonutFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please'''
                 ''' use DonutImageProcessor instead.'''      ,							a__      ,							)
             super().__init__(*a__      ,							**a__)

