code: def clear(self, dims: ep.Tensor) -> None:
      if self.tensor is None:
          self.tensor = dims  # pragma: no cover
      dims = dims.numpy()
      assert dims.shape == (self.N,)
      assert dims.dtype == np.bool_
      self.data[:, dims] = np.nan
  
imports: from typing import Union, Tuple, Optional, Any
  from typing_extensions import Literal
  import numpy
  import eagerpy
  import logging
  from ..devutils import flatten
  from ..devutils import atleast_kd
  from ..types import Bounds
  from ..models import Model
  from ..criteria import Criterion
  from ..distances import l2
  from ..tensorboard import TensorBoard
  from .blended_noise import LinearSearchBlendedUniformNoiseAttack
  from .base import MinimizationAttack
  from .base import T
  from .base import get_criterion
  from .base import get_is_adversarial
  from .base import raise_if_kwargs
  from .base import verify_input_bounds
label_desc: Use image node_id 5 for calling the ArrayQueue obj's underlying member method code with example usage: obj.clear(dims) without return types