




from __future__ import annotations


def    A						(__A   :    List[str]   ,				__A   :    int       )   ->      list[list[int]]:







     """simple docstring"""


     UpperCAmelCase_          =							[]
     UpperCAmelCase_          =							[]
     UpperCAmelCase_          =							0
     UpperCAmelCase_          =							sum(__snake_case       )
     create_state_space_tree(__snake_case   ,				__snake_case   ,				__snake_case   ,				__snake_case   ,				__snake_case   ,				__snake_case       )
     return result


def    A						(__A   :    str   ,				__A   :    Dict   ,				__A   :    List[str]   ,				__A   :    Dict   ,				__A   :    int   ,				__A   :    Tuple   ,				)   ->      None:







     """simple docstring"""


     if sum(__snake_case       ) > max_sum or (remaining_nums_sum + sum(__snake_case       )) < max_sum:
          return
     if sum(__snake_case       ) == max_sum:
          result.append(__snake_case       )
          return
     for index in range(__snake_case   ,				len(__snake_case       )       ):
          create_state_space_tree(
              __snake_case   ,				__snake_case   ,				index + 1   ,				[*path, nums[index]]   ,				__snake_case   ,				remaining_nums_sum - nums[index]   ,				)
snake_case_ : str    		=       [3, 34, 4, 12, 5, 2]
snake_case_ : Dict    		=       9
snake_case_ : List[Any]    		=       generate_sum_of_subsets_soln(nums, max_sum)


print(*result)











"""simple docstring"""






import re
from pathlib import Path
from unittest import TestCase

import pytest



@pytest.mark.integration
class 			A__   (  __SCREAMING_SNAKE_CASE							):




	'''simple docstring'''





	def 							_SCREAMING_SNAKE_CASE   (     self:		Optional[int]       ,			_SCREAMING_SNAKE_CASE:		str)				->       Dict:

				"""simple docstring"""

				with open(_SCREAMING_SNAKE_CASE       ,			encoding="utf-8") as input_file:
							__lowerCAmelCase      :  List[str]												=       re.compile(r"(?!.*\b(?:encoding|rb|w|wb|w+|wb+|ab|ab+)\b)(?<=\s)(open)\((.*)\)")
							__lowerCAmelCase      :  List[Any]												=       input_file.read()
							__lowerCAmelCase      :  Any												=       regexp.search(_SCREAMING_SNAKE_CASE)

				return match

	def 							_SCREAMING_SNAKE_CASE   (     self:		List[Any]       ,			_SCREAMING_SNAKE_CASE:		str)				->       Optional[Any]:

				"""simple docstring"""

				with open(_SCREAMING_SNAKE_CASE       ,			encoding="utf-8") as input_file:
							__lowerCAmelCase      :  Any												=       re.compile(r"#[^\r\n]*print\(|\"[^\r\n]*print\(|\"\"\".*?print\(.*?\"\"\"|(print\()"       ,			re.DOTALL)
							__lowerCAmelCase      :  Optional[int]												=       input_file.read()
							# use `re.finditer` to handle the case where the ignored groups would be matched first by `re.search`
							__lowerCAmelCase      :  int												=       regexp.finditer(_SCREAMING_SNAKE_CASE)

				__lowerCAmelCase      :  Union[str, Any]												=       [match for match in matches if match is not None and match.group(1) is not None]
				return matches[0] if matches else None

	def 							_SCREAMING_SNAKE_CASE   (     self:		str)				->       List[Any]:

				"""simple docstring"""

				__lowerCAmelCase      :  Optional[Any]												=       Path("./datasets")
				__lowerCAmelCase      :  Optional[int]												=       list(dataset_paths.absolute().glob("**/*.py"))

				for dataset in dataset_files:
							if self._no_encoding_on_file_open(str(_SCREAMING_SNAKE_CASE)):
										raise AssertionError(F"""open(...) must use utf-8 encoding in {dataset}""")







	def 							_SCREAMING_SNAKE_CASE   (     self:		Optional[Any])				->       Optional[int]:

				"""simple docstring"""

				__lowerCAmelCase      :  Dict												=       Path("./datasets")
				__lowerCAmelCase      :  Union[str, Any]												=       list(dataset_paths.absolute().glob("**/*.py"))

				for dataset in dataset_files:
							if self._no_print_statements(str(_SCREAMING_SNAKE_CASE)):
										raise AssertionError(F"""print statement found in {dataset}. Use datasets.logger/logging instead.""")