:mod:`neuron_morphology.layered_point_depths._schemas`
======================================================

.. py:module:: neuron_morphology.layered_point_depths._schemas


Module Contents
---------------

Classes
~~~~~~~

.. autoapisummary::

   neuron_morphology.layered_point_depths._schemas.DepthField
   neuron_morphology.layered_point_depths._schemas.Layer
   neuron_morphology.layered_point_depths._schemas.InputParameters
   neuron_morphology.layered_point_depths._schemas.OutputParameters



.. py:class:: DepthField(only=None, exclude=(), many=False, context=None, load_only=(), dump_only=(), partial=False, unknown=None)

   Bases: :class:`argschema.schemas.DefaultSchema`

   mm.Schema class with support for making fields default to
   values defined by that field's arguments.
















   ..
       !! processed by numpydoc !!

   .. attribute:: gradient_field_path
      

      

   .. attribute:: depth_field_path
      

      

   .. attribute:: soma_origin
      

      

   .. attribute:: pia_sign
      

      


.. py:class:: Layer(only=None, exclude=(), many=False, context=None, load_only=(), dump_only=(), partial=False, unknown=None)

   Bases: :class:`argschema.schemas.DefaultSchema`

   mm.Schema class with support for making fields default to
   values defined by that field's arguments.
















   ..
       !! processed by numpydoc !!

   .. attribute:: name
      

      

   .. attribute:: bounds
      

      

   .. attribute:: pia_surface
      

      

   .. attribute:: wm_surface
      

      


.. py:class:: InputParameters(only=None, exclude=(), many=False, context=None, load_only=(), dump_only=(), partial=False, unknown=None)

   Bases: :class:`argschema.schemas.ArgSchema`

   The base marshmallow schema used by ArgSchemaParser to identify
   input_json and output_json files and the log_level
















   ..
       !! processed by numpydoc !!

   .. attribute:: swc_path
      

      

   .. attribute:: depth
      

      

   .. attribute:: layers
      

      

   .. attribute:: step_size
      

      

   .. attribute:: output_path
      

      

   .. attribute:: max_iter
      

      


.. py:class:: OutputParameters(only=None, exclude=(), many=False, context=None, load_only=(), dump_only=(), partial=False, unknown=None)

   Bases: :class:`argschema.schemas.DefaultSchema`

   mm.Schema class with support for making fields default to
   values defined by that field's arguments.
















   ..
       !! processed by numpydoc !!

   .. attribute:: inputs
      

      

   .. attribute:: output_path