code: 
  
  
  
  
  
  from __future__ import annotations
  
  
  
  
  
  
  
  def       lowerCAmelCase__(	lowercase       :    list[list[int]]   ,     lowercase       :    list[list[int]]				) ->    list[int]:
    assert len(lowercase				) == len(lowercase				)
  
    __snake_case   :				Dict        =       len(lowercase				)
    __snake_case   :				List[Any]        =       list(range(lowercase				)				)
    __snake_case   :				Optional[Any]        =       [-1] * n  # who the donor has donated to
    __snake_case   :				Optional[Any]        =       [-1] * n  # who the recipient has received from
    __snake_case   :				Optional[Any]        =       [0] * n
  
    while unmatched_donors:
      __snake_case   :				str        =       unmatched_donors[0]
      __snake_case   :				Tuple        =       donor_pref[donor]
      __snake_case   :				Any        =       donor_preference[num_donations[donor]]
      num_donations[donor] += 1
      __snake_case   :				Optional[Any]        =       recipient_pref[recipient]
      __snake_case   :				Tuple        =       rec_record[recipient]
  
      if prev_donor != -1:
        if rec_preference.index(lowercase				) > rec_preference.index(lowercase				):
          __snake_case   :				Optional[Any]        =       donor
          __snake_case   :				Any        =       recipient
          unmatched_donors.append(lowercase				)
          unmatched_donors.remove(lowercase				)
      else:
        __snake_case   :				Tuple        =       donor
        __snake_case   :				Union[str, Any]        =       recipient
        unmatched_donors.remove(lowercase				)
    return donor_record
  
  
style_context: 
  
  
  
  
  
  from typing import TYPE_CHECKING
  
  from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available
  
  
  _UpperCamelCase       = {'''configuration_nat''': ['''NAT_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''NatConfig''']}
  
  
  try:
       if not is_torch_available():
            raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
       pass
  else:
       _UpperCamelCase       = [
           '''NAT_PRETRAINED_MODEL_ARCHIVE_LIST''',
           '''NatForImageClassification''',
           '''NatModel''',
           '''NatPreTrainedModel''',
           '''NatBackbone''',
       ]
  
  if TYPE_CHECKING:
       from .configuration_nat import NAT_PRETRAINED_CONFIG_ARCHIVE_MAP, NatConfig
  
       try:
            if not is_torch_available():
                 raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
            pass
       else:
            from .modeling_nat import (
                NAT_PRETRAINED_MODEL_ARCHIVE_LIST,
                NatBackbone,
                NatForImageClassification,
                NatModel,
                NatPreTrainedModel,
            )
  
  else:
       import sys
  
       _UpperCamelCase       = _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)
  
  