



'''simple docstring'''






import copy
import random

from transformers import CLIPTokenizer

class        SCREAMING_SNAKE_CASE(							A__    ):







	"""simple docstring"""






	def __init__(		self    :  Optional[Any]	,    *__snake_case    :  str	,    **__snake_case    :  Optional[Any]	)    ->	Optional[Any]:
								super().__init__(*__snake_case	,    **__snake_case	)
								UpperCAmelCase				: Optional[Any]											=	{}







	def   A			(		self    :  Dict	,    __snake_case    :  Optional[Any]	,    *__snake_case    :  str	,    **__snake_case    :  Union[str, Any]	)    ->	List[str]:
								UpperCAmelCase				: List[Any]											=	super().add_tokens(__snake_case	,    *__snake_case	,    **__snake_case	)
								if num_added_tokens == 0:
															raise ValueError(
															    F"""The tokenizer already contains the token {placeholder_token}. Please pass a different"""
															    ''' `placeholder_token` that is not already in the tokenizer.'''	)







	def   A			(		self    :  Dict	,    __snake_case    :  Tuple	,    *__snake_case    :  Dict	,    __snake_case    :  List[str]=1	,    **__snake_case    :  Optional[int]	)    ->	Tuple:
								UpperCAmelCase				: List[Any]											=	[]
								if num_vec_per_token == 1:
															self.try_adding_tokens(__snake_case	,    *__snake_case	,    **__snake_case	)
															output.append(__snake_case	)
								else:
															UpperCAmelCase				: List[Any]											=	[]
															for i in range(__snake_case	):
																						UpperCAmelCase				: Union[str, Any]											=	placeholder_token + F"""_{i}"""
																						self.try_adding_tokens(__snake_case	,    *__snake_case	,    **__snake_case	)
																						output.append(__snake_case	)
        # handle cases where there is a new placeholder token that contains the current placeholder token but is larger
								for token in self.token_map:
															if token in placeholder_token:
																						raise ValueError(
																						    F"""The tokenizer already has placeholder token {token} that can get confused with"""
																						    F""" {placeholder_token}keep placeholder tokens independent"""	)
								UpperCAmelCase				: Tuple											=	output







	def   A			(		self    :  Tuple	,    __snake_case    :  Any	,    __snake_case    :  Optional[int]=False	,    __snake_case    :  Optional[int]=1.0	)    ->	List[str]:
								if isinstance(__snake_case	,    __snake_case	):
															UpperCAmelCase				: Any											=	[]
															for i in range(len(__snake_case	)	):
																						output.append(self.replace_placeholder_tokens_in_text(text[i]	,    vector_shuffle=__snake_case	)	)
															return output
								for placeholder_token in self.token_map:
															if placeholder_token in text:
																						UpperCAmelCase				: str											=	self.token_map[placeholder_token]
																						UpperCAmelCase				: Union[str, Any]											=	tokens[: 1 + int(len(__snake_case	) * prop_tokens_to_load	)]
																						if vector_shuffle:
																													UpperCAmelCase				: List[str]											=	copy.copy(__snake_case	)
																													random.shuffle(__snake_case	)
																						UpperCAmelCase				: List[str]											=	text.replace(__snake_case	,    ''' '''.join(__snake_case	)	)
								return text







	def __call__(		self    :  Any	,    __snake_case    :  Any	,    *__snake_case    :  List[Any]	,    __snake_case    :  int=False	,    __snake_case    :  str=1.0	,    **__snake_case    :  Any	)    ->	List[Any]:
								return super().__call__(
								    self.replace_placeholder_tokens_in_text(
								        __snake_case	,    vector_shuffle=__snake_case	,    prop_tokens_to_load=__snake_case	)	,    *__snake_case	,    **__snake_case	,    )







	def   A			(		self    :  List[str]	,    __snake_case    :  Optional[int]	,    *__snake_case    :  List[Any]	,    __snake_case    :  List[str]=False	,    __snake_case    :  Optional[int]=1.0	,    **__snake_case    :  List[str]	)    ->	List[Any]:
								return super().encode(
								    self.replace_placeholder_tokens_in_text(
								        __snake_case	,    vector_shuffle=__snake_case	,    prop_tokens_to_load=__snake_case	)	,    *__snake_case	,    **__snake_case	,    )










'''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()





