"""simple docstring"""






import copy
from typing import TYPE_CHECKING, Any, Mapping, Optional, OrderedDict

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging
from ..auto.configuration_auto import AutoConfig


if TYPE_CHECKING:
       from ... import PreTrainedTokenizerBase, TensorType

__lowerCAmelCase					: Optional[Any]        =logging.get_logger(__name__)





class 				_A		( lowerCAmelCase			):
      snake_case__    :     Dict													=			'vision-encoder-decoder'
      snake_case__    :     Dict													=			True

      def __init__(		self	, **__lowerCAmelCase		):







            """simple docstring"""



            super().__init__(**__lowerCAmelCase		)
            if "encoder" not in kwargs or "decoder" not in kwargs:
                  raise ValueError(
                      f'A configuraton of type {self.model_type} cannot be instantiated because '
                      f'not both `encoder` and `decoder` sub-configurations are passed, but only {kwargs}'		)

            lowercase														=			kwargs.pop("""encoder"""		)
            lowercase														=			encoder_config.pop("""model_type"""		)
            lowercase														=			kwargs.pop("""decoder"""		)
            lowercase														=			decoder_config.pop("""model_type"""		)

            lowercase														=			AutoConfig.for_model(__lowerCAmelCase	, **__lowerCAmelCase		)
            lowercase														=			AutoConfig.for_model(__lowerCAmelCase	, **__lowerCAmelCase		)
            lowercase														=			True

      @classmethod
      def        A__ (		cls	, __lowerCAmelCase	, __lowerCAmelCase	, **__lowerCAmelCase		):







            """simple docstring"""



            logger.info("""Setting `config.is_decoder=True` and `config.add_cross_attention=True` for decoder_config"""		)
            lowercase														=			True
            lowercase														=			True

            return cls(encoder=encoder_config.to_dict()	, decoder=decoder_config.to_dict()	, **__lowerCAmelCase		)







      def        A__ (		self		):







            """simple docstring"""



            lowercase														=			copy.deepcopy(self.__dict__		)
            lowercase														=			self.encoder.to_dict()
            lowercase														=			self.decoder.to_dict()
            lowercase														=			self.__class__.model_type
            return output






class 				_A		( lowerCAmelCase			):
      snake_case__    :     Dict													=			version.parse('1.11'			)

      @property
      def        A__ (		self		):







            """simple docstring"""



            return OrderedDict(
                [
                    ("""pixel_values""", {0: """batch""", 1: """num_channels""", 2: """height""", 3: """width"""}),
                ]		)

      @property
      def        A__ (		self		):







            """simple docstring"""



            return 1E-4







      @property
      def        A__ (		self		):







            """simple docstring"""



            return OrderedDict({"""last_hidden_state""": {0: """batch""", 1: """encoder_sequence"""}}		)






class 				_A		( lowerCAmelCase			):

      @property
      def        A__ (		self		):







            """simple docstring"""



            lowercase														=			OrderedDict()
            lowercase														=			{0: """batch""", 1: """past_decoder_sequence + sequence"""}
            lowercase														=			{0: """batch""", 1: """past_decoder_sequence + sequence"""}
            lowercase														=			{0: """batch""", 1: """encoder_sequence"""}

            return common_inputs







      def        A__ (		self	, __lowerCAmelCase	, __lowerCAmelCase = -1	, __lowerCAmelCase = -1	, __lowerCAmelCase = False	, __lowerCAmelCase = None	, ):







            """simple docstring"""



            import torch

            lowercase														=			OrderedDict()

            lowercase														=			super().generate_dummy_inputs(
                __lowerCAmelCase	, batch_size=__lowerCAmelCase	, seq_length=__lowerCAmelCase	, is_pair=__lowerCAmelCase	, framework=__lowerCAmelCase		)

            lowercase							,							lowercase														=			dummy_input["""input_ids"""].shape
            lowercase														=			(batch, encoder_sequence, self._config.encoder_hidden_size)
            lowercase														=			dummy_input.pop("""input_ids"""		)
            lowercase														=			dummy_input.pop("""attention_mask"""		)
            lowercase														=			torch.zeros(__lowerCAmelCase		)

            return common_inputs






class 				_A		( lowerCAmelCase			):

      @property
      def        A__ (		self		):







            """simple docstring"""



            pass

      def        A__ (		self	, __lowerCAmelCase		):







            """simple docstring"""



            return VisionEncoderDecoderEncoderOnnxConfig(__lowerCAmelCase		)







      def        A__ (		self	, __lowerCAmelCase	, __lowerCAmelCase	, __lowerCAmelCase = "default"		):







            """simple docstring"""



            lowercase														=			encoder_config.hidden_size
            return VisionEncoderDecoderDecoderOnnxConfig(__lowerCAmelCase	, __lowerCAmelCase		)







"""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     UpperCAmelCase__ (       lowerCAmelCase__  :int      ,	lowerCAmelCase__  :Tuple	)				->					Union[str, Any]:
      '''simple docstring'''


      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     UpperCAmelCase__ (       lowerCAmelCase__  :Dict      ,	lowerCAmelCase__  :Optional[Any]      ,	lowerCAmelCase__  :str      ,	lowerCAmelCase__  :List[str]	)				->					int:
      '''simple docstring'''


      lowercase														=			tmp_path / """cache"""
      lowercase														=			{"""col_1""": """string""", """col_2""": """int64""", """col_3""": """float64"""}
      with assert_arrow_memory_increases() if keep_in_memory else assert_arrow_memory_doesnt_increase():
            lowercase														=			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     UpperCAmelCase__ (       lowerCAmelCase__  :int      ,	lowerCAmelCase__  :Union[str, Any]      ,	lowerCAmelCase__  :List[Any]      ,	lowerCAmelCase__  :Union[str, Any]	)				->					Optional[int]:
      '''simple docstring'''


      lowercase														=			tmp_path / """cache"""
      lowercase														=			{"""col_1""": """string""", """col_2""": """int64""", """col_3""": """float64"""}
      lowercase														=			features.copy() if features else default_expected_features
      lowercase														=			(
          Features({feature: Value(lowerCAmelCase__	) for feature, dtype in features.items()}	) if features is not None else None
      )
      lowercase														=			SqlDatasetReader("""dataset"""      ,	"""sqlite:///""" + sqlite_path      ,	features=lowerCAmelCase__      ,	cache_dir=lowerCAmelCase__	).read()
      _check_sql_dataset(lowerCAmelCase__      ,	lowerCAmelCase__	)


def     UpperCAmelCase__ (       lowerCAmelCase__  :Any	)				->					Optional[int]:
      '''simple docstring'''


      with contextlib.closing(sqlitea.connect(lowerCAmelCase__	)	) as con:
            lowercase														=			con.cursor()
            cur.execute("""SELECT * FROM dataset"""	)
            for row in cur:
                  yield row


@require_sqlalchemy
def     UpperCAmelCase__ (       lowerCAmelCase__  :Tuple      ,	lowerCAmelCase__  :str      ,	lowerCAmelCase__  :int	)				->					List[Any]:
      '''simple docstring'''


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

      lowercase														=			iter_sql_file(lowerCAmelCase__	)
      lowercase														=			iter_sql_file(lowerCAmelCase__	)

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


@require_sqlalchemy
def     UpperCAmelCase__ (       lowerCAmelCase__  :str      ,	lowerCAmelCase__  :Optional[Any]      ,	lowerCAmelCase__  :Optional[int]	)				->					Optional[int]:
      '''simple docstring'''


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

      lowercase														=			iter_sql_file(lowerCAmelCase__	)
      lowercase														=			iter_sql_file(lowerCAmelCase__	)

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






@require_sqlalchemy
def     UpperCAmelCase__ (       lowerCAmelCase__  :Dict      ,	lowerCAmelCase__  :Dict      ,	lowerCAmelCase__  :Tuple	)				->					Any:
      '''simple docstring'''


      lowercase														=			tmp_path / """cache"""
      lowercase														=			os.path.join(lowerCAmelCase__      ,	"""tmp.sql"""	)
      lowercase														=			SqlDatasetReader("""dataset"""      ,	"""sqlite:///""" + sqlite_path      ,	cache_dir=lowerCAmelCase__	).read()
      with pytest.raises(lowerCAmelCase__	):
            SqlDatasetWriter(lowerCAmelCase__      ,	"""dataset"""      ,	"""sqlite:///""" + output_sqlite_path      ,	num_proc=0	).write()



