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


def     UpperCAmelCase_  (						__lowerCAmelCase	) ->						List[Any]:
    with contextlib.closing(sqlitea.connect(__lowerCAmelCase	)	) as con:
        __lowercase		:			int	    =       con.cursor()
        cur.execute('''SELECT * FROM dataset'''	)
        for row in cur:
            yield row


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

    __lowercase		:			List[Any]	    =       iter_sql_file(__lowerCAmelCase	)
    __lowercase		:			List[Any]	    =       iter_sql_file(__lowerCAmelCase	)

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


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

    __lowercase		:			Any	    =       iter_sql_file(__lowerCAmelCase	)
    __lowercase		:			List[str]	    =       iter_sql_file(__lowerCAmelCase	)

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





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




import unittest

from transformers import is_torch_available
from transformers.testing_utils import require_torch


if is_torch_available():
 import torch

 from transformers.activations import gelu_new, gelu_python, get_activation


@require_torch
class 						__lowerCAmelCase	(	unittest.TestCase      ):



      """simple docstring"""







      def 		snake_case_			(      self		:       Optional[Any]				):
          __lowercase		:			Union[str, Any]	    =       torch.tensor([-100, -1, -0.1, 0, 0.1, 1.0, 100]				)
          __lowercase		:			Any	    =       get_activation('''gelu'''				)
          self.assertTrue(torch.allclose(gelu_python(_snake_case				)				,       torch_builtin(_snake_case				)				)				)
          self.assertFalse(torch.allclose(gelu_python(_snake_case				)				,       gelu_new(_snake_case				)				)				)




      def 		snake_case_			(      self		:       Dict				):
          __lowercase		:			Any	    =       torch.tensor([-100, -1, -0.1, 0, 0.1, 1.0, 100]				)
          __lowercase		:			List[str]	    =       get_activation('''gelu'''				)
          __lowercase		:			Optional[Any]	    =       get_activation('''gelu_10'''				)

          __lowercase		:			Tuple	    =       torch_builtin(_snake_case				)
          __lowercase		:			List[Any]	    =       geluaa(_snake_case				)

          __lowercase		:			Tuple	    =       torch.where(y_gelu_aa < 10.0				,       1				,       0				)

          self.assertTrue(torch.max(_snake_case				).item() == 10.0				)
          self.assertTrue(torch.allclose(y_gelu * clipped_mask				,       y_gelu_aa * clipped_mask				)				)




      def 		snake_case_			(      self		:       Any				):
          get_activation('''gelu'''				)
          get_activation('''gelu_10'''				)
          get_activation('''gelu_fast'''				)
          get_activation('''gelu_new'''				)
          get_activation('''gelu_python'''				)
          get_activation('''gelu_pytorch_tanh'''				)
          get_activation('''linear'''				)
          get_activation('''mish'''				)
          get_activation('''quick_gelu'''				)
          get_activation('''relu'''				)
          get_activation('''sigmoid'''				)
          get_activation('''silu'''				)
          get_activation('''swish'''				)
          get_activation('''tanh'''				)
          with self.assertRaises(_snake_case				):
              get_activation('''bogus'''				)
          with self.assertRaises(_snake_case				):
              get_activation(_snake_case				)




      def 		snake_case_			(      self		:       Dict				):
          __lowercase		:			Union[str, Any]	    =       get_activation('''gelu'''				)
          __lowercase		:			List[str]	    =       1
          __lowercase		:			Union[str, Any]	    =       get_activation('''gelu'''				)
          self.assertEqual(acta.a				,       1				)
          with self.assertRaises(_snake_case				):
              __lowercase		:			Tuple	    =       acta.a


