
"""simple docstring"""







from __future__ import annotations
def    __lowerCAmelCase    (_UpperCamelCase	,  _UpperCamelCase		):
	__lowerCAmelCase      :						list[list[int]]						      =				[]
	create_all_state(1	,  _UpperCamelCase	,  _UpperCamelCase	,  []	,  _UpperCamelCase		)
	return result
def    __lowerCAmelCase    (_UpperCamelCase	,  _UpperCamelCase	,  _UpperCamelCase	,  _UpperCamelCase	,  _UpperCamelCase	,  ):
	if level == 0:
		total_list.append(current_list[:]		)
		return

	for i in range(_UpperCamelCase	,  total_number - level + 2		):
		current_list.append(_UpperCamelCase		)
		create_all_state(i + 1	,  _UpperCamelCase	,  level - 1	,  _UpperCamelCase	,  _UpperCamelCase		)
		current_list.pop()
def    __lowerCAmelCase    (_UpperCamelCase		):
	for i in total_list:
		print(*_UpperCamelCase		)


if __name__ == "__main__":
							lowerCamelCase__ :    Optional[int]        =		4
							lowerCamelCase__ :    List[str]        =		2
							lowerCamelCase__ :    List[str]        =		generate_all_combinations(n, k)
							print_all_state(total_list)

"""simple docstring"""







from .glue import glue_convert_examples_to_features, glue_output_modes, glue_processors, glue_tasks_num_labels
from .squad import SquadExample, SquadFeatures, SquadVaProcessor, SquadVaProcessor, squad_convert_examples_to_features
from .utils import DataProcessor, InputExample, InputFeatures, SingleSentenceClassificationProcessor
from .xnli import xnli_output_modes, xnli_processors, xnli_tasks_num_labels