






def   __lowercase       (			snake_case,	snake_case,	snake_case,	snake_case,	snake_case,	snake_case			):







				"""simple docstring"""






				if index == r:
								for j in range(snake_case			):
												print(data[j],	end=''' '''			)
								print(''' '''			)
								return
				#  When no more elements are there to put in data[]
				if i >= n:
								return
				# current is included, put next at next location
				__magic_name__		:Dict   =   arr[i]
				combination_util(snake_case,	snake_case,	snake_case,	index + 1,	snake_case,	i + 1			)
				# current is excluded, replace it with
				# next (Note that i+1 is passed, but
				# index is not changed)
				combination_util(snake_case,	snake_case,	snake_case,	snake_case,	snake_case,	i + 1			)
				# The main function that prints all combinations
				# of size r in arr[] of size n. This function
				# mainly uses combinationUtil()

def   __lowercase       (			snake_case,	snake_case,	snake_case			):







				"""simple docstring"""






				__magic_name__		:List[str]   =   [0] * r
				# Print all combination using temporary array 'data[]'
				combination_util(snake_case,	snake_case,	snake_case,	0,	snake_case,	0			)


if __name__ == "__main__":
					# Driver code to check the function above
					SCREAMING_SNAKE_CASE__   :      Optional[Any]				=		[10, 20, 30, 40, 50]
					print_combination(arr, len(arr), 3)
					# This code is contributed by Ambuj sahu













"""simple docstring"""





from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


__A											=						{"""configuration_sew""": ["""SEW_PRETRAINED_CONFIG_ARCHIVE_MAP""", """SEWConfig"""]}

try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  __A											=						[
      """SEW_PRETRAINED_MODEL_ARCHIVE_LIST""",
      """SEWForCTC""",
      """SEWForSequenceClassification""",
      """SEWModel""",
      """SEWPreTrainedModel""",
  ]

if TYPE_CHECKING:
  from .configuration_sew import SEW_PRETRAINED_CONFIG_ARCHIVE_MAP, SEWConfig

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_sew import (
        SEW_PRETRAINED_MODEL_ARCHIVE_LIST,
        SEWForCTC,
        SEWForSequenceClassification,
        SEWModel,
        SEWPreTrainedModel,
    )


else:
  import sys

  __A											=						_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)
