



import dataclasses
import enum
import functools
import math
import re

# The following script is adapted from the script of TaPas.
# Original: https://github.com/google-research/tapas/master/wikisql_utils.py
from typing import Any, List, Text


UpperCAmelCase							       =    """none"""
UpperCAmelCase							       =    """none"""

def 	A_					(		__a   : List[str]       ,						__a   : List[str]						):

				"""simple docstring"""
				a__ 					=						value.split(__UpperCamelCase						)
				return len(__UpperCamelCase						) > 1 and any((len(__UpperCamelCase						) == 3 for x in split)						)

def 	A_					(		__a   : Any						):

				"""simple docstring"""
				if isinstance(__UpperCamelCase       ,						__UpperCamelCase						):
								return value
				if isinstance(__UpperCamelCase       ,						__UpperCamelCase						):
								return float(__UpperCamelCase						)
				if not isinstance(__UpperCamelCase       ,						__UpperCamelCase						):
								raise ValueError("""Argument value is not a string. Can't parse it as float"""						)
				a__ 					=						value

				try:
								# Example: 1,000.7
								if "." in sanitized and "," in sanitized:
												return float(sanitized.replace(""","""       ,						""""""						)						)
								# 1,000
								if "," in sanitized and _split_thousands(""","""       ,						__UpperCamelCase						):
												return float(sanitized.replace(""","""       ,						""""""						)						)
								# 5,5556
								if "," in sanitized and sanitized.count(""","""						) == 1 and not _split_thousands(""","""       ,						__UpperCamelCase						):
												return float(sanitized.replace(""","""       ,						"""."""						)						)
								# 0.0.0.1
								if sanitized.count("""."""						) > 1:
												return float(sanitized.replace("""."""       ,						""""""						)						)
								# 0,0,0,1
								if sanitized.count(""","""						) > 1:
												return float(sanitized.replace(""","""       ,						""""""						)						)
								return float(__UpperCamelCase						)
				except ValueError:
								# Avoid adding the sanitized value in the error message.
								raise ValueError("""Unable to convert value to float"""						)

def 	A_					(		__a   : Any						):

				"""simple docstring"""
				if answer is None:
								return None
				try:
								a__ 					=						convert_to_float(__UpperCamelCase						)
								if isinstance(__UpperCamelCase       ,						__UpperCamelCase						) and math.isnan(__UpperCamelCase						):
												return None
								return value
				except ValueError:
								return answer.lower()


UpperCAmelCase							       =    {
    """text""": lambda x: x,
    """real""": convert_to_float,
}

class        __snake_case					(      enum.Enum):







							'''simple docstring'''






							UpperCamelCase__ :					int			   =    0
							UpperCamelCase__ :					List[str]			   =    1
							UpperCamelCase__ :					List[str]			   =    2
							UpperCamelCase__ :					Optional[Any]			   =    3
							UpperCamelCase__ :					Optional[int]			   =    4
							UpperCamelCase__ :					Optional[Any]			   =    5




class        __snake_case					(      enum.Enum):







							'''simple docstring'''






							UpperCamelCase__ :					Tuple			   =    0
							UpperCamelCase__ :					Optional[int]			   =    1
							UpperCamelCase__ :					List[str]			   =    2




@dataclasses.dataclass
class        __snake_case					:







							'''simple docstring'''






							UpperCamelCase__ :					Text
							UpperCamelCase__ :					_Operator
							UpperCamelCase__ :					Any




UpperCAmelCase							       =    re.compile(R"""\w+|[^\w\s]+""", re.UNICODE | re.MULTILINE | re.DOTALL)

def 	A_					(		__a   : List[Any]						):

				"""simple docstring"""
				return list(_TOKENIZER.findall(x.lower()						)						)

def 	A_					(		__a   : str       ,						__a   : List[Any]       ,						__a   : List[str]						):

				"""simple docstring"""
				if operator == _Operator.EQUALS:
								return src == tgt
				elif operator == _Operator.GREATER:
								return src > tgt
				elif operator == _Operator.LESSER:
								return src < tgt
				raise ValueError(F'''Unknown operator: {operator}'''						)

def 	A_					(		__a   : Union[str, Any]       ,						__a   : Any       ,						__a   : Optional[int]						):

				"""simple docstring"""
				a__ 					=						table["""types"""]
				return _TYPE_CONVERTER[types[column]](__UpperCamelCase						)

def 	A_					(		__a   : Optional[Any]						):

				"""simple docstring"""
				return isinstance(__UpperCamelCase       ,						__UpperCamelCase						)

def 	A_					(		__a   : Any       ,						__a   : int       ,						__a   : List[str]						):

				"""simple docstring"""
				for cond in conditions:
								a__ 					=						row[cond.column]

								a__ 					=						_parse_value(__UpperCamelCase       ,						cond.column       ,						cond.cmp_value						)

								if _is_string(__UpperCamelCase						) and _is_string(__UpperCamelCase						):
												a__ 					=						_normalize_for_match(__UpperCamelCase						)
												a__ 					=						_normalize_for_match(__UpperCamelCase						)

								if not isinstance(__UpperCamelCase       ,						type(__UpperCamelCase						)						):
												raise ValueError("""Type difference {} != {}""".format(type(__UpperCamelCase						)       ,						type(__UpperCamelCase						)						)						)

								if not _compare(cond.operator       ,						__UpperCamelCase       ,						__UpperCamelCase						):
												return False
				return True

def 	A_					(		__a   : List[str]       ,						__a   : str       ,						__a   : Dict						):

				"""simple docstring"""
				if not answer_coordinates:
								if aggregation_op == _Aggregation.COUNT:
												return 0.0
								else:
												return EMPTY_ANSWER_AGG

    # Count can support non numeric answers.
				if aggregation_op == _Aggregation.COUNT:
								return float(len(__UpperCamelCase						)						)

				# If we have just one answer, if float returns it or try a conversion.
				a__ 					=						[table["""rows"""][i][j] for (i, j) in answer_coordinates]
				if len(__UpperCamelCase						) == 1:
								try:
												return convert_to_float(values[0]						)
								except ValueError as e:
												if aggregation_op != _Aggregation.NONE:
																raise e

				if aggregation_op == _Aggregation.NONE:
								return None

				# Other aggregation only support numeric values. Bail out if we have strings.
				if not all((isinstance(__UpperCamelCase       ,						(int, float)						) for v in values)						):
								return None

				if aggregation_op == _Aggregation.SUM:
								return float(sum(__UpperCamelCase						)						)
				elif aggregation_op == _Aggregation.AVERAGE:
								return sum(__UpperCamelCase						) / len(__UpperCamelCase						)
				else:
								raise ValueError(F'''Unknown aggregation: {aggregation_op}'''						)

def 	A_					(		__a   : Dict       ,						__a   : Any						):

				"""simple docstring"""
				a__ 					=						sql_query["""agg"""]
				if aggregation_op_index >= 3:
								a__ 					=						_Aggregation(__UpperCamelCase						)
				else:
								a__ 					=						_Aggregation.NONE

				a__ 					=						sql_query["""sel"""]
				a__ 					=						[
				    _Condition(__UpperCamelCase       ,						_Operator(__UpperCamelCase						)       ,						__UpperCamelCase						)
				    for column, operator, cmp_value in zip(
				        sql_query["""conds"""]["""column_index"""]       ,						sql_query["""conds"""]["""operator_index"""]       ,						sql_query["""conds"""]["""condition"""]						)
				]

				a__ 					=						[]
				for row in range(len(table["""rows"""]						)						):
								if _respect_conditions(__UpperCamelCase       ,						table["""rows"""][row]       ,						__UpperCamelCase						):
												indices.append((row, target_column)						)

				if not indices:
								return [], aggregation_op

				if len(__UpperCamelCase						) == 1:
								return indices, aggregation_op

				# Parsing of MIN/MAX.
				if aggregation_op_index in (1, 2):
								a__ 					=						{2: min, 1: max}
								a__ 					=						[(table["""rows"""][i][j], index) for index, (i, j) in enumerate(__UpperCamelCase						)]
								a__ 					=						functools.reduce(operators[sql_query["""agg"""]]       ,						__UpperCamelCase						)

								a__ 					=						[indices[reduced[1]]]
								return ret, _Aggregation.NONE

				return indices, aggregation_op

def 	A_					(		__a   : Dict       ,						__a   : Optional[int]       ,						__a   : List[Any]						):

				"""simple docstring"""
				if float_answer is not None:
								return [str(__UpperCamelCase						)]
				return [str(table["""real_rows"""][r][c]						) for r, c in answer_coordinates]




def 	A_					(		__a   : Dict       ,						__a   : Tuple						):

				"""simple docstring"""
				a__					,	a__ 					=						_get_answer_coordinates(__UpperCamelCase       ,						__UpperCamelCase						)
				a__ 					=						_get_float_answer(__UpperCamelCase       ,						__UpperCamelCase       ,						__UpperCamelCase						)
				a__ 					=						_get_answer_text(__UpperCamelCase       ,						__UpperCamelCase       ,						__UpperCamelCase						)
				# keep the original data the same with TaPas
				if len(__UpperCamelCase						) == 0:
								a__ 					=						[EMPTY_ANSWER]
				return answer_text







from __future__ import annotations

from typing import Generic, TypeVar

lowerCamelCase_  						=   TypeVar("T")
class       __a					( Generic[T]     ):


     """simple docstring"""


     def __init__(	self			: int				,_UpperCamelCase			: T						)		->   str:


         '''simple docstring'''





         SCREAMING_SNAKE_CASE__								=data  # Assign data
         SCREAMING_SNAKE_CASE__								=None  # Initialize next as null
         SCREAMING_SNAKE_CASE__								=None  # Initialize prev as null






class       __a					( Generic[T]     ):


     """simple docstring"""


     def __init__(	self			: Tuple						)		->   None:


         '''simple docstring'''





         SCREAMING_SNAKE_CASE__								=None




     def   __A				(	self			: Dict				,_UpperCamelCase			: T						)		->   None:


         '''simple docstring'''





         if self.head is None:
             SCREAMING_SNAKE_CASE__								=Node(_UpperCamelCase						)
         else:
             SCREAMING_SNAKE_CASE__								=Node(_UpperCamelCase						)
             SCREAMING_SNAKE_CASE__								=new_node
             SCREAMING_SNAKE_CASE__								=self.head
             SCREAMING_SNAKE_CASE__								=None
             SCREAMING_SNAKE_CASE__								=new_node




     def   __A				(	self			: List[str]						)		->   T | None:


         '''simple docstring'''





         if self.head is None:
             return None
         else:
             assert self.head is not None
             SCREAMING_SNAKE_CASE__								=self.head.data
             SCREAMING_SNAKE_CASE__								=self.head.next
             if self.head is not None:
                 SCREAMING_SNAKE_CASE__								=None
             return temp




     def   __A				(	self			: List[str]						)		->   T | None:


         '''simple docstring'''





         return self.head.data if self.head is not None else None




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


         '''simple docstring'''





         SCREAMING_SNAKE_CASE__								=self.head
         SCREAMING_SNAKE_CASE__								=0
         while temp is not None:
             count += 1
             SCREAMING_SNAKE_CASE__								=temp.next
         return count




     def   __A				(	self			: List[Any]						)		->   bool:


         '''simple docstring'''





         return self.head is None




     def   __A				(	self			: int						)		->   None:


         '''simple docstring'''





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


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






