




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


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





@dataclass
class  __lowerCamelCase       (    datasets.BuilderConfig    ):




    """simple docstring"""

    snake_case__					=      None
    snake_case__					=      None
    snake_case__					=      None
    snake_case__					=      True
    snake_case__					=      None
    snake_case__					=      None
    snake_case__					=      None
    snake_case__					=      1_0_0_0_0
    snake_case__					=      None


    def    a      (       self     :     Dict   )      ->       Tuple:
         if self.sql is None:
              raise ValueError("sql must be specified"   )
         if self.con is None:
              raise ValueError("con must be specified"   )


    def    a      (       self     :     Optional[int]   ,	SCREAMING_SNAKE_CASE__     :     dict   ,	SCREAMING_SNAKE_CASE__     :     Optional[datasets.Features] = None   ,	)      ->       str:
         lowerCAmelCase__		= 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
         lowerCAmelCase__		= config_kwargs["sql"]
         if not isinstance(SCREAMING_SNAKE_CASE__   ,	SCREAMING_SNAKE_CASE__   ):
              if datasets.config.SQLALCHEMY_AVAILABLE and "sqlalchemy" in sys.modules:
                   import sqlalchemy

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

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


    @property
    def    a      (       self     :     List[str]   )      ->       Union[str, Any]:
         lowerCAmelCase__		= {
             "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    ):




    """simple docstring"""

    snake_case__					=      SqlConfig


    def    a      (       self     :     Optional[Any]   )      ->       Optional[int]:
         return datasets.DatasetInfo(features=self.config.features   )


    def    a      (       self     :     str   ,	SCREAMING_SNAKE_CASE__     :     Tuple   )      ->       Dict:
         return [datasets.SplitGenerator(name=datasets.Split.TRAIN   ,	gen_kwargs={}   )]


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


    def    a      (       self     :     List[str]   )      ->       Optional[Any]:
         lowerCAmelCase__		= self.config.chunksize
         lowerCAmelCase__		= pd.read_sql(
             self.config.sql   ,	self.config.con   ,	chunksize=SCREAMING_SNAKE_CASE__   ,	**self.config.pd_read_sql_kwargs   )
         lowerCAmelCase__		= [sql_reader] if chunksize is None else sql_reader
         for chunk_idx, df in enumerate(SCREAMING_SNAKE_CASE__   ):
              lowerCAmelCase__		= pa.Table.from_pandas(SCREAMING_SNAKE_CASE__   )
              yield chunk_idx, self._cast_table(SCREAMING_SNAKE_CASE__   )






from __future__ import annotations

from typing import Generic, TypeVar

UpperCamelCase								=     TypeVar('T')





class  __lowerCamelCase       (    Generic[T]    ):




    """simple docstring"""

    def __init__(       self     :     List[str]   ,	SCREAMING_SNAKE_CASE__     :     T   )      ->       List[Any]:
         lowerCAmelCase__		= data  # Assign data
         lowerCAmelCase__		= None  # Initialize next as null
         lowerCAmelCase__		= None  # Initialize prev as null






class  __lowerCamelCase       (    Generic[T]    ):




    """simple docstring"""

    def __init__(       self     :     Any   )      ->       None:
         lowerCAmelCase__		= None


    def    a      (       self     :     Tuple   ,	SCREAMING_SNAKE_CASE__     :     T   )      ->       None:
         if self.head is None:
              lowerCAmelCase__		= Node(SCREAMING_SNAKE_CASE__   )
         else:
              lowerCAmelCase__		= Node(SCREAMING_SNAKE_CASE__   )
              lowerCAmelCase__		= new_node
              lowerCAmelCase__		= self.head
              lowerCAmelCase__		= None
              lowerCAmelCase__		= new_node


    def    a      (       self     :     int   )      ->       T | None:
         if self.head is None:
              return None
         else:
              assert self.head is not None
              lowerCAmelCase__		= self.head.data
              lowerCAmelCase__		= self.head.next
              if self.head is not None:
                   lowerCAmelCase__		= None
              return temp


    def    a      (       self     :     int   )      ->       T | None:
         return self.head.data if self.head is not None else None


    def __len__(       self     :     List[str]   )      ->       int:
         lowerCAmelCase__		= self.head
         lowerCAmelCase__		= 0
         while temp is not None:
              count += 1
              lowerCAmelCase__		= temp.next
         return count


    def    a      (       self     :     Tuple   )      ->       bool:
         return self.head is None


    def    a      (       self     :     Dict   )      ->       None:
         print("stack elements are:"   )
         lowerCAmelCase__		= self.head
         while temp is not None:
              print(temp.data   ,	end="->"   )
              lowerCAmelCase__		= temp.next


# Code execution starts here
if __name__ == "__main__":
     # Start with the empty stack
     UpperCamelCase								=     Stack()

     # Insert 4 at the beginning. So stack becomes 4->None
     print('Stack operations using Doubly LinkedList')
     stack.push(4)

     # Insert 5 at the beginning. So stack becomes 4->5->None
     stack.push(5)

     # Insert 6 at the beginning. So stack becomes 4->5->6->None
     stack.push(6)

     # Insert 7 at the beginning. So stack becomes 4->5->6->7->None
     stack.push(7)

     # Print the stack
     stack.print_stack()

     # Print the top element
     print('\nTop element is ', stack.top())

     # Print the stack size
     print('Size of the stack is ', len(stack))

     # pop the top element
     stack.pop()

     # pop the top element
     stack.pop()

     # two elements have now been popped off
     stack.print_stack()

     # Print True if the stack is empty else False
     print('\nstack is empty:', stack.is_empty())
