

'''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


_lowerCamelCase    =  datasets.utils.logging.get_logger(__name__)
@dataclass
class 					__a   (		datasets.BuilderConfig  ):
						__SCREAMING_SNAKE_CASE     :					Union[str, "sqlalchemy.sql.Selectable"]  =      None
						__SCREAMING_SNAKE_CASE     :					Union[str, "sqlalchemy.engine.Connection", "sqlalchemy.engine.Engine", "sqlite3.Connection"]  =      None
						__SCREAMING_SNAKE_CASE     :					Optional[Union[str, List[str]]]  =      None
						__SCREAMING_SNAKE_CASE     :					bool  =      True
						__SCREAMING_SNAKE_CASE     :					Optional[Union[List, Tuple, Dict]]  =      None
						__SCREAMING_SNAKE_CASE     :					Optional[Union[List, Dict]]  =      None
						__SCREAMING_SNAKE_CASE     :					Optional[List[str]]  =      None
						__SCREAMING_SNAKE_CASE     :					Optional[int]  =      1_0_0_0_0
						__SCREAMING_SNAKE_CASE     :					Optional[datasets.Features]  =      None

						def 	_UpperCAmelCase							(		self	:						List[Any])						->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	:						int    ,			lowercase__	:						dict    ,			lowercase__	:						Optional[datasets.Features] = None    ,			)						->str:

							"""simple docstring"""



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

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

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


						@property
						def 	_UpperCAmelCase							(		self	:						str)						->Any:

							"""simple docstring"""



							_lowercase							=     {
							    """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 					__a   (		datasets.ArrowBasedBuilder  ):
						__SCREAMING_SNAKE_CASE     :					Dict  =      SqlConfig

						def 	_UpperCAmelCase							(		self	:						List[Any])						->Dict:

							"""simple docstring"""



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

						def 	_UpperCAmelCase							(		self	:						int    ,			lowercase__	:						int)						->Tuple:

							"""simple docstring"""



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

						def 	_UpperCAmelCase							(		self	:						str    ,			lowercase__	:						pa.Table)						->pa.Table:

							"""simple docstring"""



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


						def 	_UpperCAmelCase							(		self	:						Optional[int])						->int:

							"""simple docstring"""



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







'''simple docstring'''







from .balanced_parentheses import balanced_parentheses
from .stack import Stack






def 					_SCREAMING_SNAKE_CASE		(						snake_case_	):
	return {"+": 1, "-": 1, "*": 2, "/": 2, "^": 3}.get(snake_case_							,       -1	)






def 					_SCREAMING_SNAKE_CASE		(						snake_case_	):
	if not balanced_parentheses(snake_case_	):
		raise ValueError("""Mismatched parentheses"""	)
	_lowercase							=     Stack()
	_lowercase							=     []
	for char in expression_str:
		if char.isalpha() or char.isdigit():
			postfix.append(snake_case_	)
		elif char == "(":
			stack.push(snake_case_	)
		elif char == ")":
			while not stack.is_empty() and stack.peek() != "(":
				postfix.append(stack.pop()	)
			stack.pop()
		else:
			while not stack.is_empty() and precedence(snake_case_	) <= precedence(stack.peek()	):
				postfix.append(stack.pop()	)
			stack.push(snake_case_	)
	while not stack.is_empty():
		postfix.append(stack.pop()	)
	return " ".join(snake_case_	)


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

							testmod()
							_lowerCamelCase    =  'a+b*(c^d-e)^(f+g*h)-i'

							print('Infix to Postfix Notation demonstration:\n')
							print('Infix notation: ' + expression)
							print('Postfix notation: ' + infix_to_postfix(expression))




