class_docstr: Add a single layer of falling raindrops to images.
  
  Added in 0.4.0.
  
  **Supported dtypes**:
  
      * ``uint8``: yes; indirectly tested (1)
      * ``uint16``: no
      * ``uint32``: no
      * ``uint64``: no
      * ``int8``: no
      * ``int16``: no
      * ``int32``: no
      * ``int64``: no
      * ``float16``: no
      * ``float32``: no
      * ``float64``: no
      * ``float128``: no
      * ``bool``: no
  
      - (1) indirectly tested via tests for :class:`Rain`
  
  Parameters
  ----------
  density : number or tuple of number or list of number or imgaug.parameters.StochasticParameter
      Same as in :class:`~imgaug.augmenters.weather.SnowflakesLayer`.
  
  density_uniformity : number or tuple of number or list of number or imgaug.parameters.StochasticParameter
      Same as in :class:`~imgaug.augmenters.weather.SnowflakesLayer`.
  
  drop_size : number or tuple of number or list of number or imgaug.parameters.StochasticParameter
      Same as `flake_size` in
      :class:`~imgaug.augmenters.weather.SnowflakesLayer`.
  
  drop_size_uniformity : number or tuple of number or list of number or imgaug.parameters.StochasticParameter
      Same as `flake_size_uniformity` in
      :class:`~imgaug.augmenters.weather.SnowflakesLayer`.
  
  angle : number or tuple of number or list of number or imgaug.parameters.StochasticParameter
      Same as in :class:`~imgaug.augmenters.weather.SnowflakesLayer`.
  
  speed : number or tuple of number or list of number or imgaug.parameters.StochasticParameter
      Same as in :class:`~imgaug.augmenters.weather.SnowflakesLayer`.
  
  blur_sigma_fraction : number or tuple of number or list of number or imgaug.parameters.StochasticParameter
      Same as in :class:`~imgaug.augmenters.weather.SnowflakesLayer`.
  
  blur_sigma_limits : tuple of float, optional
      Same as in :class:`~imgaug.augmenters.weather.SnowflakesLayer`.
  
  seed : None or int or imgaug.random.RNG or numpy.random.Generator or numpy.random.BitGenerator or numpy.random.SeedSequence or numpy.random.RandomState, optional
      See :func:`~imgaug.augmenters.meta.Augmenter.__init__`.
  
  name : None or str, optional
      See :func:`~imgaug.augmenters.meta.Augmenter.__init__`.
  
  random_state : None or int or imgaug.random.RNG or numpy.random.Generator or numpy.random.BitGenerator or numpy.random.SeedSequence or numpy.random.RandomState, optional
      Old name for parameter `seed`.
      Its usage will not yet cause a deprecation warning,
      but it is still recommended to use `seed` now.
      Outdated since 0.4.0.
  
  deterministic : bool, optional
      Deprecated since 0.4.0.
      See method ``to_deterministic()`` for an alternative and for
      details about what the "deterministic mode" actually does.
code: def _blur(cls, noise, sigma):
      return noise
  
imports: from __future__ import print_function, division, absolute_import
  import numpy
  import imgaug
  from .None import meta, arithmetic, blur, contrast, color
  from ..None import parameters
  from ..None import dtypes
label_desc: Use image node_id 2 for calling the RainLayer obj's underlying member method code with example usage: obj._blur(cls, noise, sigma) and returns: noise