corewise_zeros_like
===================

.. py:function:: t3toolbox.corewise.corewise_zeros_like(X)

   .. code-block:: python

      def corewise_zeros_like(
              X:  NDArrayTree,  # any nested tree of ints/floats/arrays
      ) -> NDArrayTree:         # zeros with X's tree structure and leaf shapes (numpy/jax inferred from X)


   Tree of zeros matching ``X``'s structure and leaf shapes/backend (``= corewise_scale(X, 0)``).

   .. rubric:: Examples

   >>> import numpy as np
   >>> import t3toolbox.corewise as cw
   >>> X = (np.ones(3), (1.0, (), np.ones(2)))
   >>> print(cw.corewise_zeros_like(X))
   (array([0., 0., 0.]), (0.0, (), array([0., 0.])))