





from __future__ import annotations



def _a							(      lowerCamelCase:  list[list[int]]   ,							lowerCamelCase:  list[list[int]]					)      ->		list[int]:







      '''simple docstring'''






      assert len(lowerCamelCase					) == len(lowerCamelCase					)

      __A			  =							len(lowerCamelCase					)
      __A			  =							list(range(lowerCamelCase					)					)
      __A			  =							[-1] * n  # who the donor has donated to
      __A			  =							[-1] * n  # who the recipient has received from
      __A			  =							[0] * n

      while unmatched_donors:
            __A			  =							unmatched_donors[0]
            __A			  =							donor_pref[donor]
            __A			  =							donor_preference[num_donations[donor]]
            num_donations[donor] += 1
            __A			  =							recipient_pref[recipient]
            __A			  =							rec_record[recipient]

            if prev_donor != -1:
                  if rec_preference.index(lowerCamelCase					) > rec_preference.index(lowerCamelCase					):
                        __A			  =							donor
                        __A			  =							recipient
                        unmatched_donors.append(lowerCamelCase					)
                        unmatched_donors.remove(lowerCamelCase					)
            else:
                  __A			  =							donor
                  __A			  =							recipient
                  unmatched_donors.remove(lowerCamelCase					)
      return donor_record












from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


snake_case__   :				Dict						=	{
    'configuration_videomae': ['VIDEOMAE_PRETRAINED_CONFIG_ARCHIVE_MAP', 'VideoMAEConfig'],
}

try:
       if not is_torch_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       snake_case__   :				Any						=	[
           'VIDEOMAE_PRETRAINED_MODEL_ARCHIVE_LIST',
           'VideoMAEForPreTraining',
           'VideoMAEModel',
           'VideoMAEPreTrainedModel',
           'VideoMAEForVideoClassification',
       ]

try:
       if not is_vision_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       snake_case__   :				str						=	['VideoMAEFeatureExtractor']
       snake_case__   :				Tuple						=	['VideoMAEImageProcessor']

if TYPE_CHECKING:
       from .configuration_videomae import VIDEOMAE_PRETRAINED_CONFIG_ARCHIVE_MAP, VideoMAEConfig

       try:
              if not is_torch_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_videomae import (
                  VIDEOMAE_PRETRAINED_MODEL_ARCHIVE_LIST,
                  VideoMAEForPreTraining,
                  VideoMAEForVideoClassification,
                  VideoMAEModel,
                  VideoMAEPreTrainedModel,
              )

       try:
              if not is_vision_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .feature_extraction_videomae import VideoMAEFeatureExtractor
              from .image_processing_videomae import VideoMAEImageProcessor

else:
       import sys

       snake_case__   :				Optional[Any]						=	_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)





