'''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


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






@dataclass
class       __lowercase		(    datasets.BuilderConfig    ):







     """simple docstring"""






     SCREAMING_SNAKE_CASE__		 =    None
     SCREAMING_SNAKE_CASE__		 =    None
     SCREAMING_SNAKE_CASE__		 =    None
     SCREAMING_SNAKE_CASE__		 =    True
     SCREAMING_SNAKE_CASE__		 =    None
     SCREAMING_SNAKE_CASE__		 =    None
     SCREAMING_SNAKE_CASE__		 =    None
     SCREAMING_SNAKE_CASE__		 =    10000
     SCREAMING_SNAKE_CASE__		 =    None







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







     def lowerCAmelCase  (		self  ,      _lowerCamelCase  ,      _lowerCamelCase = None  ,      ):
         __UpperCamelCase						:						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
         __UpperCamelCase						:						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     ):
                     __UpperCamelCase						:						Tuple		     =	sqlalchemy.create_engine(config_kwargs['con'].split('://'     )[0] + '://'     )
                     __UpperCamelCase						:						List[Any]		     =	str(sql.compile(dialect=engine.dialect     )     )
                     __UpperCamelCase						:						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}"""     )
         __UpperCamelCase						:						List[Any]		     =	config_kwargs['con']
         if not isinstance(_lowerCamelCase  ,      _lowerCamelCase     ):
             __UpperCamelCase						:						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 lowerCAmelCase  (		self     ):
         __UpperCamelCase						:						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       __lowercase		(    datasets.ArrowBasedBuilder    ):







     """simple docstring"""






     SCREAMING_SNAKE_CASE__		 =    SqlConfig







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







     def lowerCAmelCase  (		self  ,      _lowerCamelCase     ):
         return [datasets.SplitGenerator(name=datasets.Split.TRAIN  ,      gen_kwargs={}     )]







     def lowerCAmelCase  (		self  ,      _lowerCamelCase     ):
         if self.config.features is not None:
             __UpperCamelCase						:						str		     =	self.config.features.arrow_schema
             if all(not require_storage_cast(_lowerCamelCase     ) for feature in self.config.features.values()     ):
                 # cheaper cast
                 __UpperCamelCase						:						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
                 __UpperCamelCase						:						Optional[int]		     =	table_cast(_lowerCamelCase  ,      _lowerCamelCase     )
         return pa_table







     def lowerCAmelCase  (		self     ):
         __UpperCamelCase						:						int		     =	self.config.chunksize
         __UpperCamelCase						:						List[str]		     =	pd.read_sql(
             self.config.sql  ,      self.config.con  ,      chunksize=_lowerCamelCase  ,      **self.config.pd_read_sql_kwargs     )
         __UpperCamelCase						:						List[str]		     =	[sql_reader] if chunksize is None else sql_reader
         for chunk_idx, df in enumerate(_lowerCamelCase     ):
             __UpperCamelCase						:						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""")



