:mod:`neuron_morphology.transforms.affine_transformer._schemas`
===============================================================

.. py:module:: neuron_morphology.transforms.affine_transformer._schemas


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

Classes
~~~~~~~

.. autoapisummary::

   neuron_morphology.transforms.affine_transformer._schemas.AffineDictSchema
   neuron_morphology.transforms.affine_transformer._schemas.ApplyAffineSchema
   neuron_morphology.transforms.affine_transformer._schemas.OutputParameters



Functions
~~~~~~~~~

.. autoapisummary::

   neuron_morphology.transforms.affine_transformer._schemas.validate_input_affine


.. function:: validate_input_affine(data)


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

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

   affine_dict: keys and values corresponding to the following
               [[tvr_00 tvr_01 tvr_02 tvr_09]
                [tvr_03 tvr_04 tvr_05 tvr_10]
                [tvr_06 tvr_07 tvr_08 tvr_11]
                [0      0      0      1]]
















   ..
       !! processed by numpydoc !!

   .. attribute:: tvr_00
      

      

   .. attribute:: tvr_01
      

      

   .. attribute:: tvr_02
      

      

   .. attribute:: tvr_03
      

      

   .. attribute:: tvr_04
      

      

   .. attribute:: tvr_05
      

      

   .. attribute:: tvr_06
      

      

   .. attribute:: tvr_07
      

      

   .. attribute:: tvr_08
      

      

   .. attribute:: tvr_09
      

      

   .. attribute:: tvr_10
      

      

   .. attribute:: tvr_11
      

      


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

   Bases: :class:`argschema.ArgSchema`

   Arg Schema for apply_affine_transform module
















   ..
       !! processed by numpydoc !!

   .. attribute:: affine_dict
      

      

   .. attribute:: affine_list
      

      

   .. attribute:: input_swc
      

      

   .. attribute:: output_swc
      

      

   .. method:: validate_schema_input(self, data, **kwargs)



.. 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:: transformed_swc