


from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


_A		       =						{
    'configuration_luke': ['LUKE_PRETRAINED_CONFIG_ARCHIVE_MAP', 'LukeConfig'],
    'tokenization_luke': ['LukeTokenizer'],
}

try:
   if not is_torch_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   _A		       =						[
       'LUKE_PRETRAINED_MODEL_ARCHIVE_LIST',
       'LukeForEntityClassification',
       'LukeForEntityPairClassification',
       'LukeForEntitySpanClassification',
       'LukeForMultipleChoice',
       'LukeForQuestionAnswering',
       'LukeForSequenceClassification',
       'LukeForTokenClassification',
       'LukeForMaskedLM',
       'LukeModel',
       'LukePreTrainedModel',
   ]


if TYPE_CHECKING:
   from .configuration_luke import LUKE_PRETRAINED_CONFIG_ARCHIVE_MAP, LukeConfig
   from .tokenization_luke import LukeTokenizer

   try:
      if not is_torch_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_luke import (
          LUKE_PRETRAINED_MODEL_ARCHIVE_LIST,
          LukeForEntityClassification,
          LukeForEntityPairClassification,
          LukeForEntitySpanClassification,
          LukeForMaskedLM,
          LukeForMultipleChoice,
          LukeForQuestionAnswering,
          LukeForSequenceClassification,
          LukeForTokenClassification,
          LukeModel,
          LukePreTrainedModel,
      )

else:
   import sys

   _A		       =						_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)












'''simple docstring'''

from __future__ import annotations





def 						UpperCamelCase				(							_lowerCamelCase					:					list[int | str]       ):
    create_state_space_tree(_lowerCamelCase						,       []						,       0						,       [0 for i in range(len(_lowerCamelCase       )       )]       )





def 						UpperCamelCase				(							_lowerCamelCase					:					list[int | str]						,       _lowerCamelCase					:					list[int | str]						,       _lowerCamelCase					:					int						,       _lowerCamelCase					:					list[int]						,       ):

    if index == len(_lowerCamelCase       ):
        print(_lowerCamelCase       )
        return

    for i in range(len(_lowerCamelCase       )       ):
        if not index_used[i]:
            current_sequence.append(sequence[i]       )
            A__				=			True
            create_state_space_tree(_lowerCamelCase						,       _lowerCamelCase						,       index + 1						,       _lowerCamelCase       )
            current_sequence.pop()
            A__				=			False
__lowerCAmelCase							:	list[int | str]			=[3, 1, 2, 4]
generate_all_permutations(sequence)

__lowerCAmelCase							:	list[int | str]			=["A", "B", "C"]



generate_all_permutations(sequence_a)



