



import sys
from dataclasses import dataclass
from typing import TYPE_CHECKING, Dict, List, Optional, Tuple, Union

import pandas as pd
import pyarrow as pa

import datasets
import datasets.config
from datasets.features.features import require_storage_cast
from datasets.table import table_cast


if TYPE_CHECKING:
		import sqlitea

		import sqlalchemy


snake_case     :    int						=    datasets.utils.logging.get_logger(__name__)




@dataclass
class 				lowerCAmelCase__	(						datasets.BuilderConfig    ):
					__A  :     Any     =    None
					__A  :     List[str]     =    None
					__A  :     Union[str, Any]     =    None
					__A  :     Dict     =    True
					__A  :     Tuple     =    None
					__A  :     Union[str, Any]     =    None
					__A  :     Any     =    None
					__A  :     Any     =    1_00_00
					__A  :     Union[str, Any]     =    None







					def 			_lowercase      (							self   :  Optional[Any]):
											if self.sql is None:
																	raise ValueError("sql must be specified")
											if self.con is None:
																	raise ValueError("con must be specified")







					def 			_lowercase      (							self   :  Optional[int]      ,		_A   :  Optional[Any]      ,		_A   :  List[Any] = None      ,		):
											A__						:				Tuple         =			config_kwargs.copy()
											# We need to stringify the Selectable object to make its hash deterministic

											# The process of stringifying is explained here: http://docs.sqlalchemy.org/en/latest/faq/sqlexpressions.html
											A__						:				List[str]         =			config_kwargs['sql']
											if not isinstance(_lowerCamelCase      ,		_lowerCamelCase):
																	if datasets.config.SQLALCHEMY_AVAILABLE and "sqlalchemy" in sys.modules:
																							import sqlalchemy

																							if isinstance(_lowerCamelCase      ,		sqlalchemy.sql.Selectable):
																													A__						:				Tuple         =			sqlalchemy.create_engine(config_kwargs["con"].split("://")[0] + "://")
																													A__						:				List[Any]         =			str(sql.compile(dialect=engine.dialect))
																													A__						:				Dict         =			sql_str
																							else:
																													raise TypeError(
																													    F'Supported types for \'sql\' are string and sqlalchemy.sql.Selectable but got {type(_lowerCamelCase)}: {sql}')
																	else:
																							raise TypeError(
																							    F'Supported types for \'sql\' are string and sqlalchemy.sql.Selectable but got {type(_lowerCamelCase)}: {sql}')
											A__						:				List[Any]         =			config_kwargs['con']
											if not isinstance(_lowerCamelCase      ,		_lowerCamelCase):
																	A__						:				Optional[int]         =			id(_lowerCamelCase)
																	logger.info(
																	    F'SQL connection \'con\' of type {type(_lowerCamelCase)} couldn\'t be hashed properly. To enable hashing, specify \'con\' as URI string instead.')

											return super().create_config_id(_lowerCamelCase      ,		custom_features=_lowerCamelCase)







					@property
					def 			_lowercase      (							self   :  Dict):
											A__						:				Union[str, Any]         =			{
											    'index_col': self.index_col,
											    'columns': self.columns,
											    'params': self.params,
											    'coerce_float': self.coerce_float,
											    'parse_dates': self.parse_dates,
											}
											return pd_read_sql_kwargs




class 				lowerCAmelCase__	(						datasets.ArrowBasedBuilder    ):
					__A  :     Any     =    SqlConfig







					def 			_lowercase      (							self   :  int):
											return datasets.DatasetInfo(features=self.config.features)







					def 			_lowercase      (							self   :  Any      ,		_A   :  Optional[int]):
											return [datasets.SplitGenerator(name=datasets.Split.TRAIN      ,		gen_kwargs={})]







					def 			_lowercase      (							self   :  Optional[Any]      ,		_A   :  Union[str, Any]):
											if self.config.features is not None:
																	A__						:				str         =			self.config.features.arrow_schema
																	if all(not require_storage_cast(_lowerCamelCase) for feature in self.config.features.values()):
																							# cheaper cast
																							A__						:				Optional[int]         =			pa.Table.from_arrays([pa_table[field.name] for field in schema]      ,		schema=_lowerCamelCase)
																	else:
																							# more expensive cast; allows str <-> int/float or str to Audio for example
																							A__						:				Optional[int]         =			table_cast(_lowerCamelCase      ,		_lowerCamelCase)
											return pa_table







					def 			_lowercase      (							self   :  List[str]):
											A__						:				int         =			self.config.chunksize
											A__						:				List[str]         =			pd.read_sql(
											    self.config.sql      ,		self.config.con      ,		chunksize=_lowerCamelCase      ,		**self.config.pd_read_sql_kwargs)
											A__						:				List[str]         =			[sql_reader] if chunksize is None else sql_reader
											for chunk_idx, df in enumerate(_lowerCamelCase):
																	A__						:				Optional[int]         =			pa.Table.from_pandas(_lowerCamelCase)
																	yield chunk_idx, self._cast_table(_lowerCamelCase)
'''simple docstring'''
from .stack import Stack







def 			_UpperCamelCase			(  _a						:						str      ):




    """simple docstring"""



    __UpperCamelCase						:						Stack[str]		     =	Stack()
    __UpperCamelCase						:						Any		     =	{'(': ')', '[': ']', '{': '}'}
    for bracket in parentheses:
        if bracket in bracket_pairs:
            stack.push(_a      )
        elif bracket in (")", "]", "}"):
            if stack.is_empty() or bracket_pairs[stack.pop()] != bracket:
                return False
    return stack.is_empty()


if __name__ == "__main__":
  from doctest import testmod

  testmod()

  a=	['''((()))''', '''((())''', '''(()))''']
  print('''Balanced parentheses demonstration:\n''')
  for example in examples:
    a=	'''''' if balanced_parentheses(example) else '''not '''
    print(F"""{example} is {not_str}balanced""")



