
'''simple docstring'''

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 		_UpperCAmelCase			(					_lowerCamelCase  :    List[Any]					, _lowerCamelCase  :    List[str]						)      ->  Optional[int]:
  _lowerCAmelCase    :					str							=   value.split(_lowerCamelCase						)
  return len(_lowerCamelCase						) > 1 and any((len(_lowerCamelCase						) == 3 for x in split)						)


def 		_UpperCAmelCase			(					_lowerCamelCase  :    Union[str, Any]						)      ->  List[str]:
  if isinstance(_lowerCamelCase					, _lowerCamelCase						):
    return value
  if isinstance(_lowerCamelCase					, _lowerCamelCase						):
    return float(_lowerCamelCase						)
  if not isinstance(_lowerCamelCase					, _lowerCamelCase						):
    raise ValueError("""Argument value is not a string. Can't parse it as float"""						)
  _lowerCAmelCase    :					Any							=   value

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


def 		_UpperCAmelCase			(					_lowerCamelCase  :    Dict						)      ->  int:
  if answer is None:
    return None
  try:
    _lowerCAmelCase    :					List[str]							=   convert_to_float(_lowerCamelCase						)
    if isinstance(_lowerCamelCase					, _lowerCamelCase						) and math.isnan(_lowerCamelCase						):
      return None
    return value
  except ValueError:
    return answer.lower()


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


class 					a_					(enum.Enum      ):
       __lowerCAmelCase      :			Union[str, Any]      = 0
       __lowerCAmelCase      :			Optional[Any]      = 1
       __lowerCAmelCase      :			Tuple      = 2
       __lowerCAmelCase      :			Optional[Any]      = 3
       __lowerCAmelCase      :			List[str]      = 4
       __lowerCAmelCase      :			List[Any]      = 5



class 					a_					(enum.Enum      ):
       __lowerCAmelCase      :			str      = 0
       __lowerCAmelCase      :			List[Any]      = 1
       __lowerCAmelCase      :			List[Any]      = 2



@dataclasses.dataclass
class 					a_					:
       __lowerCAmelCase      :			Text
       __lowerCAmelCase      :			_Operator
       __lowerCAmelCase      :			Any



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


def 		_UpperCAmelCase			(					_lowerCamelCase  :    Dict						)      ->  List[str]:
  return list(_TOKENIZER.findall(x.lower()						)						)


def 		_UpperCAmelCase			(					_lowerCamelCase  :    str					, _lowerCamelCase  :    Dict					, _lowerCamelCase  :    Union[str, Any]						)      ->  Optional[Any]:
  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 		_UpperCAmelCase			(					_lowerCamelCase  :    str					, _lowerCamelCase  :    Tuple					, _lowerCamelCase  :    Union[str, Any]						)      ->  Optional[int]:
  _lowerCAmelCase    :					List[Any]							=   table["""types"""]
  return _TYPE_CONVERTER[types[column]](_lowerCamelCase						)


def 		_UpperCAmelCase			(					_lowerCamelCase  :    int						)      ->  Any:
  return isinstance(_lowerCamelCase					, _lowerCamelCase						)


def 		_UpperCAmelCase			(					_lowerCamelCase  :    Dict					, _lowerCamelCase  :    int					, _lowerCamelCase  :    List[str]						)      ->  Optional[int]:
  for cond in conditions:
    _lowerCAmelCase    :					Optional[Any]							=   row[cond.column]

    _lowerCAmelCase    :					int							=   _parse_value(_lowerCamelCase					, cond.column					, cond.cmp_value						)

    if _is_string(_lowerCamelCase						) and _is_string(_lowerCamelCase						):
      _lowerCAmelCase    :					Tuple							=   _normalize_for_match(_lowerCamelCase						)
      _lowerCAmelCase    :					str							=   _normalize_for_match(_lowerCamelCase						)

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

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


def 		_UpperCAmelCase			(					_lowerCamelCase  :    Optional[Any]					, _lowerCamelCase  :    int					, _lowerCamelCase  :    Dict						)      ->  List[str]:
  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(_lowerCamelCase						)						)

  # If we have just one answer, if float returns it or try a conversion.
  _lowerCAmelCase    :					Optional[Any]							=   [table["""rows"""][i][j] for (i, j) in answer_coordinates]
  if len(_lowerCamelCase						) == 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(_lowerCamelCase					, (int, float)						) for v in values)						):
    return None

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


def 		_UpperCAmelCase			(					_lowerCamelCase  :    Optional[Any]					, _lowerCamelCase  :    Any						)      ->  Any:
  _lowerCAmelCase    :					str							=   sql_query["""agg"""]
  if aggregation_op_index >= 3:
    _lowerCAmelCase    :					List[str]							=   _Aggregation(_lowerCamelCase						)
  else:
    _lowerCAmelCase    :					Optional[int]							=   _Aggregation.NONE

  _lowerCAmelCase    :					Any							=   sql_query["""sel"""]
  _lowerCAmelCase    :					Optional[int]							=   [
      _Condition(_lowerCamelCase					, _Operator(_lowerCamelCase						)					, _lowerCamelCase						)
      for column, operator, cmp_value in zip(
          sql_query["""conds"""]["""column_index"""]					, sql_query["""conds"""]["""operator_index"""]					, sql_query["""conds"""]["""condition"""]						)
  ]

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

  if not indices:
    return [], aggregation_op

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

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

    _lowerCAmelCase    :					Optional[Any]							=   [indices[reduced[1]]]
    return ret, _Aggregation.NONE

  return indices, aggregation_op


def 		_UpperCAmelCase			(					_lowerCamelCase  :    Dict					, _lowerCamelCase  :    str					, _lowerCamelCase  :    List[Any]						)      ->  str:
  if float_answer is not None:
    return [str(_lowerCamelCase						)]
  return [str(table["""real_rows"""][r][c]						) for r, c in answer_coordinates]



def 		_UpperCAmelCase			(					_lowerCamelCase  :    Optional[int]					, _lowerCamelCase  :    Optional[int]						)      ->  List:
  _lowerCAmelCase			,   _lowerCAmelCase    :					Optional[Any]							=   _get_answer_coordinates(_lowerCamelCase					, _lowerCamelCase						)
  _lowerCAmelCase    :					str							=   _get_float_answer(_lowerCamelCase					, _lowerCamelCase					, _lowerCamelCase						)
  _lowerCAmelCase    :					int							=   _get_answer_text(_lowerCamelCase					, _lowerCamelCase					, _lowerCamelCase						)
  # keep the original data the same with TaPas
  if len(_lowerCamelCase						) == 0:
    _lowerCAmelCase    :					str							=   [EMPTY_ANSWER]
  return answer_text




'''simple docstring'''

from __future__ import annotations


class 					a_					:




       def __init__(       self				,				snake_case_ = 0					):
         _lowerCAmelCase    :					Optional[Any]							=   value
         _lowerCAmelCase    :					Node | None							=   None
         _lowerCAmelCase    :					Node | None							=   None



def 		_UpperCAmelCase			(					_lowerCamelCase  :    Node | None					, _lowerCamelCase  :    Node | None						)      ->  Node | None:
  if treea is None:
    return treea
  if treea is None:
    return treea

  _lowerCAmelCase    :					Any							=   treea.value + treea.value
  _lowerCAmelCase    :					Tuple							=   merge_two_binary_trees(treea.left					, treea.left						)
  _lowerCAmelCase    :					List[str]							=   merge_two_binary_trees(treea.right					, treea.right						)
  return treea


def 		_UpperCAmelCase			(					_lowerCamelCase  :    Node | None						)      ->  None:
  if root:
    print(root.value						)
    print_preorder(root.left						)
    print_preorder(root.right						)


if __name__ == "__main__":
     UpperCamelCase_            =    Node(1)
     UpperCamelCase_            =    Node(2)
     UpperCamelCase_            =    Node(3)
     UpperCamelCase_            =    Node(4)

     UpperCamelCase_            =    Node(2)
     UpperCamelCase_            =    Node(4)
     UpperCamelCase_            =    Node(6)
     UpperCamelCase_            =    Node(9)
     UpperCamelCase_            =    Node(5)

     print("""Tree1 is: """)
     print_preorder(treea)
     print("""Tree2 is: """)
     print_preorder(treea)
     UpperCamelCase_            =    merge_two_binary_trees(treea, treea)
     print("""Merged Tree is: """)
     print_preorder(merged_tree)


