neuror.cut_plane.legacy_detection¶

Module for the legacy cut plane detection.

Functions

`children_ids`	Return the children IDs.
`cut_detect`	Detect the cut leaves the old way.
`cut_mark`	Find which sections should be cut.
`get_obliques`	Returns the oblique roots.
`internal_cut_detection`	Use cut_detect to get the side of the half space the points live in.

neuror.cut_plane.legacy_detection.children_ids(section)[source]¶

Return the children IDs.

Note

The original code returns the ids of the descendant sections but this implementation return the Section objects instead.

neuror.cut_plane.legacy_detection.cut_detect(neuron, cut, offset, axis)[source]¶

Detect the cut leaves the old way.

The cut leaves are simply the leaves that live on the half-space (split along the ‘axis’ coordinate) with the biggest number of leaves

neuror.cut_plane.legacy_detection.cut_mark(sections, cut, offset, side, axis)[source]¶: Find which sections should be cut.

Note

This is a re-implementation of: https://bbpgitlab.epfl.ch/nse/morphologyrepair/BlueRepairSDK/-/blob/main/BlueRepairSDK/src/helper_dendrite.cpp#L654

neuror.cut_plane.legacy_detection.get_obliques(neuron, extended_types)[source]¶: Returns the oblique roots.

Note

This is a re-implementation of: https://bbpgitlab.epfl.ch/nse/morphologyrepair/BlueRepairSDK/-/blob/main/BlueRepairSDK/src/helper_dendrite.cpp#L212

neuror.cut_plane.legacy_detection.internal_cut_detection(neuron, axis)[source]¶

Use cut_detect to get the side of the half space the points live in.

Then mark points which are children of the apical section.

Note