code: def can_convert_arrays(arrays):
      """Check if array like-inputs can be handled by `ArrayDataAdapter`
  
      Args:
          inputs: Structure of `Tensor`s, NumPy arrays, or tensor-like.
  
      Returns:
          `True` if `arrays` can be handled by `ArrayDataAdapter`, `False`
          otherwise.
      """
  
      def can_convert_single_array(x):
          is_none = x is None
          known_type = isinstance(x, data_adapter_utils.ARRAY_TYPES)
          convertable_type = hasattr(x, "__array__")
          return is_none or known_type or convertable_type
  
      return all(
          tree.flatten(
              tree.map_structure(can_convert_single_array, arrays)
          )
      )
  
file_path: keras/keras/trainers/data_adapters/array_data_adapter.py
imports: import math
  import numpy
  import tree
  from keras import backend
  from keras.trainers.data_adapters import data_adapter_utils
  from keras.trainers.data_adapters.data_adapter import DataAdapter
  from keras.utils.nest import lists_to_tuples
label_desc: Use image node_id 1 for calling a global function with example usage: can_convert_arrays(arrays) and returns: all, unknown