class_docstr: Class encapsulating a batch during the augmentation process.
  
  Data within the batch is already verified and normalized, similar to
  :class:`Batch`. Data within the batch may be changed in-place. No initial
  copy is needed.
  
  Added in 0.4.0.
  
  Parameters
  ----------
  images : None or (N,H,W,C) ndarray or list of (H,W,C) ndarray
      The images to augment.
  
  heatmaps : None or list of imgaug.augmentables.heatmaps.HeatmapsOnImage
      The heatmaps to augment.
  
  segmentation_maps : None or list of imgaug.augmentables.segmaps.SegmentationMapsOnImage
      The segmentation maps to augment.
  
  keypoints : None or list of imgaug.augmentables.kps.KeypointOnImage
      The keypoints to augment.
  
  bounding_boxes : None or list of imgaug.augmentables.bbs.BoundingBoxesOnImage
      The bounding boxes to augment.
  
  polygons : None or list of imgaug.augmentables.polys.PolygonsOnImage
      The polygons to augment.
  
  line_strings : None or list of imgaug.augmentables.lines.LineStringsOnImage
      The line strings to augment.
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docstr: Set the columns in this batch to the column values of another batch.
  
  This method works in-place.
  
  Added in 0.4.0.
  
  Parameters
  ----------
  batch_in_augmentation : _BatchInAugmentation
      Batch of which to use the column values.
      The values are *not* copied. Only their references are used.
  
  Returns
  -------
  _BatchInAugmentation
      The updated batch. (Modified in-place.)
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code: def fill_from_batch_in_augmentation_(self, batch_in_augmentation):
      """Set the columns in this batch to the column values of another batch.
  
      This method works in-place.
  
      Added in 0.4.0.
  
      Parameters
      ----------
      batch_in_augmentation : _BatchInAugmentation
          Batch of which to use the column values.
          The values are *not* copied. Only their references are used.
  
      Returns
      -------
      _BatchInAugmentation
          The updated batch. (Modified in-place.)
  
      """
      if batch_in_augmentation is self:
          return self
  
      self.images = batch_in_augmentation.images
      self.heatmaps = batch_in_augmentation.heatmaps
      self.segmentation_maps = batch_in_augmentation.segmentation_maps
      self.keypoints = batch_in_augmentation.keypoints
      self.bounding_boxes = batch_in_augmentation.bounding_boxes
      self.polygons = batch_in_augmentation.polygons
      self.line_strings = batch_in_augmentation.line_strings
  
      return self
  
imports: from __future__ import print_function, division, absolute_import
  import collections
  import numpy
  from ..None import imgaug
  from .None import normalization
  from .None import utils
label_desc: Use image node_id 13 for calling the _BatchInAugmentation obj's underlying member method code with example usage: obj.fill_from_batch_in_augmentation_(batch_in_augmentation) and returns: self, self