"""simple docstring"""

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


__lowercase    =				datasets.utils.logging.get_logger(__name__)






@dataclass
class 		_lowercase (						datasets.BuilderConfig      ):



						"""simple docstring"""




						lowercase__       =  None
						lowercase__       =  None
						lowercase__       =  None
						lowercase__       =  True
						lowercase__       =  None
						lowercase__       =  None
						lowercase__       =  None
						lowercase__       =  1_00_00
						lowercase__       =  None





						def   UpperCAmelCase_ (				self							:    Optional[int]				)				->				Any:
													'''simple docstring'''



													if self.sql is None:
																				raise ValueError('''sql must be specified'''				)
													if self.con is None:
																				raise ValueError('''con must be specified'''				)





						def   UpperCAmelCase_ (				self							:    Optional[int]     , UpperCamelCase__							:    List[str]     , UpperCamelCase__							:    int = None     , )				->				str:
													'''simple docstring'''



													__UpperCamelCase							=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
													__UpperCamelCase							=config_kwargs['''sql''']
													if not isinstance(__A     , __A				):
																				if datasets.config.SQLALCHEMY_AVAILABLE and "sqlalchemy" in sys.modules:
																											import sqlalchemy

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

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





						@property
						def   UpperCAmelCase_ (				self							:    Any				)				->				Dict:
													'''simple docstring'''



													__UpperCamelCase							={
													    '''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 		_lowercase (						datasets.ArrowBasedBuilder      ):



						"""simple docstring"""




						lowercase__       =  SqlConfig





						def   UpperCAmelCase_ (				self							:    Dict				)				->				Optional[int]:
													'''simple docstring'''



													return datasets.DatasetInfo(features=self.config.features				)





						def   UpperCAmelCase_ (				self							:    Optional[int]     , UpperCamelCase__							:    Optional[int]				)				->				int:
													'''simple docstring'''



													return [datasets.SplitGenerator(name=datasets.Split.TRAIN     , gen_kwargs={}				)]





						def   UpperCAmelCase_ (				self							:    Tuple     , UpperCamelCase__							:    Any				)				->				pa.Table:
													'''simple docstring'''



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





						def   UpperCAmelCase_ (				self							:    int				)				->				int:
													'''simple docstring'''



													__UpperCamelCase							=self.config.chunksize
													__UpperCamelCase							=pd.read_sql(
													    self.config.sql     , self.config.con     , chunksize=__A     , **self.config.pd_read_sql_kwargs				)
													__UpperCamelCase							=[sql_reader] if chunksize is None else sql_reader
													for chunk_idx, df in enumerate(__A				):
																				__UpperCamelCase							=pa.Table.from_pandas(__A				)
																				yield chunk_idx, self._cast_table(__A				)







"""simple docstring"""







from .stack import Stack
def _A		(		lowercase						):







    """simple docstring"""
    a											=Stack()
    a											={'''(''': ''')''', '''[''': ''']''', '''{''': '''}'''}
    for bracket in parentheses:
        if bracket in bracket_pairs:
            stack.push(lowercase						)
        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()

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