:mod:`neuron_morphology.feature_extractor._schemas` =================================================== .. py:module:: neuron_morphology.feature_extractor._schemas Module Contents --------------- Classes ~~~~~~~ .. autoapisummary:: neuron_morphology.feature_extractor._schemas.ReferenceLayerDepths neuron_morphology.feature_extractor._schemas.Reconstruction neuron_morphology.feature_extractor._schemas.GlobalParameters neuron_morphology.feature_extractor._schemas.InputParameters neuron_morphology.feature_extractor._schemas.OutputParameters Functions ~~~~~~~~~ .. autoapisummary:: neuron_morphology.feature_extractor._schemas.validate_point_depths_path .. function:: validate_point_depths_path(path: str) Check whether a layered point depths path is usable. .. !! processed by numpydoc !! .. py:class:: ReferenceLayerDepths(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:: key .. attribute:: names .. attribute:: boundaries .. classmethod:: is_valid(cls, value) .. py:class:: Reconstruction(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:: swc_path .. attribute:: identifier .. attribute:: layered_point_depths_path .. py:class:: GlobalParameters(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:: reference_layer_depths .. 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:: reconstructions .. attribute:: heavy_output_path .. attribute:: feature_set .. attribute:: only_marks .. attribute:: required_marks .. attribute:: output_table_path .. attribute:: num_processes .. attribute:: global_parameters .. 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:: results