



from __future__ import annotations
def     _a							(     __lowercase				, __lowercase		)     ->						Union[str, Any]:

							"""simple docstring"""





							__UpperCamelCase          =  []
							create_all_state(1				, lowercase__				, lowercase__				, []				, lowercase__		)
							return result
def     _a							(     __lowercase				, __lowercase				, __lowercase				, __lowercase				, __lowercase				, )     ->						Tuple:

							"""simple docstring"""





							if level == 0:
														total_list.append(current_list[:]		)
														return

							for i in range(lowercase__				, total_number - level + 2		):
														current_list.append(lowercase__		)
														create_all_state(i + 1				, lowercase__				, level - 1				, lowercase__				, lowercase__		)
														current_list.pop()
def     _a							(     __lowercase		)     ->						int:

							"""simple docstring"""





							for i in total_list:
														print(*lowercase__		)


if __name__ == "__main__":
			_snake_case				=					4
			_snake_case				=					2
			_snake_case				=					generate_all_combinations(n, k)
			print_all_state(total_list)






from ...utils import logging
from ..ta.modeling_tf_ta import TFTaEncoderModel, TFTaForConditionalGeneration, TFTaModel
from .configuration_mta import MTaConfig


A									=  logging.get_logger(__name__)

A									=  'T5Config'


class SCREAMING_SNAKE_CASE	(		__snake_case				):






			"""simple docstring"""




			__A    	=	"""mt5"""
			__A    	=	MTaConfig







class SCREAMING_SNAKE_CASE	(		__snake_case				):






			"""simple docstring"""




			__A    	=	"""mt5"""
			__A    	=	MTaConfig







class SCREAMING_SNAKE_CASE	(		__snake_case				):






			"""simple docstring"""




			__A    	=	"""mt5"""
			__A    	=	MTaConfig
