Exemple #1
0
def test__repair():
    neuron = load_neuron(Path(DATA_PATH, 'valid.h5'))
    axon = neuron.root_sections[0]
    assert_equal(axon.type, SectionType.axon)
    test_module.repair(neuron, axon, [axon], [axon], set(), y_extent=10000)
    assert_equal(len(axon.children), 1)
    assert_array_equal(axon.children[0].points[0], axon.points[-1])
    ok_(not diff(neuron, DATA_PATH / 'axon-repair.h5'))
Exemple #2
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def test__repair_no_intact_axon():
    filename = Path(DATA_PATH, 'valid.h5')
    neuron = load_neuron(filename)
    axon = neuron.root_sections[0]
    used_axon_branches = set()
    test_module.repair(neuron,
                       axon, [], [axon],
                       used_axon_branches,
                       y_extent=10000)
    # There should not be any repair
    ok_(not diff(neuron, filename))
Exemple #3
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    def run(self, outputfile: Path, plot_file: Optional[Path] = None):
        '''Run'''
        if self.cut_leaves.size == 0:
            L.warning('No cut leaves. Nothing to repair for morphology %s',
                      self.inputfile)
            self.neuron.write(outputfile)
            return

        # See https://github.com/BlueBrain/MorphIO/issues/161
        keep_axons_alive = list()

        for axon_donor in self.axon_donors:
            if self.legacy_detection:
                plane = CutPlane.find_legacy(axon_donor, 'z')
            else:
                plane = CutPlane.find(axon_donor)
            keep_axons_alive.append(plane)
            self.donated_intact_axon_sections.extend([
                section for section in iter_sections(plane.morphology)
                if section.type == SectionType.axon
                and is_branch_intact(section, plane.cut_leaves_coordinates)
            ])

        self._fill_repair_type_map()
        self._fill_statistics_for_intact_subtrees()
        intact_axonal_sections = [
            section for section in iter_sections(self.neuron)
            if section.type == SectionType.axon
            and is_branch_intact(section, self.cut_leaves)
        ]

        # BlueRepairSDK used to have a bounding cylinder filter but
        # I don't know what is it good at so I have commented
        # the only relevant line
        # bounding_cylinder_radius = 10000
        cut_sections_in_bounding_cylinder = [
            section for section in iter_sections(self.neuron) if
            (is_cut_section(section, cut_points=self.cut_leaves)
             # and np.linalg.norm(section.points[-1, COLS.XZ]) < bounding_cylinder_radius
             )
        ]

        used_axon_branches = set()

        cut_leaves_ids = {
            section: len(section.points)
            for section in cut_sections_in_bounding_cylinder
        }

        for section in sorted(cut_sections_in_bounding_cylinder,
                              key=section_path_length):
            type_ = self.repair_type_map[section]
            if not self.repair_flags.get(type_, True):
                continue
            L.info('Repairing: %s, section id: %s', type_, section.id)
            if type_ in {
                    RepairType.basal, RepairType.oblique, RepairType.tuft
            }:
                origin = self._get_origin(section)
                if section.type == NeuriteType.basal_dendrite:
                    _continuation(section, origin)
                self._grow(section, self._get_order_offset(section), origin)
            elif type_ == RepairType.axon:
                axon.repair(self.neuron, section, intact_axonal_sections,
                            self.donated_intact_axon_sections,
                            used_axon_branches, self.max_y_extent)
            elif type_ == RepairType.trunk:
                L.info('Trunk repair is not (nor has ever been) implemented')
            else:
                raise Exception('Unknown type: {}'.format(type_))

        if plot_file is not None:
            try:
                from neuror.view import plot_repaired_neuron
                plot_repaired_neuron(self.neuron, cut_leaves_ids, plot_file)
            except ImportError:
                L.warning(
                    'Skipping writing plots as [plotly] extra is not installed'
                )

        self.neuron.write(outputfile)
        L.info('Repair successful for %s', self.inputfile)