code: def copyto(self, other):
          
          if isinstance(other, NDArray):
              if other.handle is self.handle:
                  warnings.warn('You are attempting to copy an array to itself', RuntimeWarning)
                  return False
              return _internal._copyto(self, out=other)
          elif isinstance(other, Context):
              hret = NDArray(_new_alloc_handle(self.shape, other, True, self.dtype))
              return _internal._copyto(self, out=hret)
          else:
              raise TypeError('copyto does not support type ' + str(type(other)))
docs: Copies the value of this array to another array.
  
          If ``other`` is a ``NDArray`` object, then ``other.shape`` and
          ``self.shape`` should be the same. This function copies the value from
          ``self`` to ``other``.
  
          If ``other`` is a context, a new ``NDArray`` will be first created on
          the target context, and the value of ``self`` is copied.
  
          Parameters
          ----------
          other : NDArray or Context
              The destination array or context.
  
          Returns
          -------
          NDArray, CSRNDArray or RowSparseNDArray
              The copied array. If ``other`` is an ``NDArray``, then the return value
              and ``other`` will point to the same ``NDArray``.
  
          Examples
          --------
          >>> x = mx.nd.ones((2,3))
          >>> y = mx.nd.zeros((2,3), mx.gpu(0))
          >>> z = x.copyto(y)
          >>> z is y
          True
          >>> y.asnumpy()
          array([[ 1.,  1.,  1.],
                 [ 1.,  1.,  1.]], dtype=float32)
          >>> y.copyto(mx.gpu(0))
          <NDArray 2x3 @gpu(0)>