warp.randn
==========

.. currentmodule:: warp._src.lang

.. function:: randn(state: uint32) -> float

   .. wp-function-tags::
      :kernel: true
      :python: true
      :differentiable: false

   Sample the standard normal (Gaussian) distribution with mean 0 and variance 1.
   
   Uses the Box-Muller transform, consuming two uniform draws. In a kernel, this
   advances ``state`` in place; called from the Python scope, it does not modify
   ``state``, so repeated calls with the same ``state`` return the same value
   (see :func:`rand_init`). For a general normal, scale and shift the result:
   ``mean + stddev * wp.randn(state)``.