code: def asblob(math_engine, data, shape=None, copy=False):
      """Organizes the data from a memory buffer into a blob.
  
      :param neoml.MathEngine.MathEngine math_engine: the math engine that works with this blob.
  
      :param data: a pointer to the data.
      :type data: object
  
      :param shape: the target blob dimensions. If none are specified,
          a one-element blob will be assumed.
      :type shape: array of int, default=None
  
      :param copy: specifies if the data should be copied to another memory block
          or kept in the same place if possible, making the data parameter
          point to the body of the newly-created blob.
          Not copying may be impossible if the blob is in GPU memory.
      :type copy: bool, default=False
      """
      if shape is None:
          shape = np.ones(7, np.int32)
      else:
          shape = np.array(shape, dtype=np.int32, copy=False)
  
      if len(shape) != 7:
          raise ValueError("The `shape` must have 7 dimension sizes.")
  
      np_data = np.array(data, copy=False, order="C")
  
      if len(np_data.shape) > 7:
          raise ValueError(
              "The `shape` must have not more then 7 dimensions."
          )
  
      if np.prod(np_data.shape) != np.prod(shape):
          raise ValueError(
              "The blob must have as many elements as ndarray"
          )
  
      dtype = "none"
      if np_data.dtype == np.float32:
          dtype = "float32"
      elif np_data.dtype == np.int32:
          dtype = "int32"
      else:
          raise ValueError(
              "The `dtype` must be one of {`float32`, `int32`}."
          )
  
      if type(math_engine) is MathEngine.GpuMathEngine:
          copy = True
  
      return Blob(
          PythonWrapper.tensor(
              math_engine._internal, shape, dtype, np_data, bool(copy)
          )
      )
  
imports: import neoml
  import neoml.PythonWrapper
  import neoml.MathEngine
  import numpy
label_desc: Use image node_id 3 for calling a global function with example usage: asblob(math_engine, data, shape, copy) and returns: Blob