class_docstr: Serialize data to a buffer using the .npy format.
docstr: Serialize data to a buffer using the .npy format.
  
  Args:
      data (object): Data to be serialized. Can be a NumPy array, list,
          file, or buffer.
  
  Returns:
      io.BytesIO: A buffer containing data serialzied in the .npy format.
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code: def serialize(self, data):
      """Serialize data to a buffer using the .npy format.
  
      Args:
          data (object): Data to be serialized. Can be a NumPy array, list,
              file, or buffer.
  
      Returns:
          io.BytesIO: A buffer containing data serialzied in the .npy format.
      """
      if isinstance(data, np.ndarray):
          if data.size == 0:
              raise ValueError("Cannot serialize empty array.")
          return self._serialize_array(data)
  
      if isinstance(data, list):
          if len(data) == 0:
              raise ValueError("Cannot serialize empty array.")
          return self._serialize_array(np.array(data, self.dtype))
  
      # files and buffers. Assumed to hold npy-formatted data.
      if hasattr(data, "read"):
          return data.read()
  
      return self._serialize_array(np.array(data))
  
imports: from __future__ import absolute_import
  import abc
  from collections.abc import Iterable
  import csv
  import io
  import json
  import numpy
  from pandas import DataFrame
  from six import with_metaclass
  from sagemaker.utils import DeferredError
label_desc: Use image node_id 2 for calling the NumpySerializer obj's underlying member method code with example usage: obj.serialize(data) and returns: self, self, self, data