pub fn sort_topo(self, reindex: bool) -> Result<Self, InconsistentNeuronError> {
        // as indices into the original samples vec
        let mut parent_to_children: HashMap<SampleId, Vec<SampleId>> =
            HashMap::with_capacity(self.samples.len());
        let mut id_to_sample: HashMap<SampleId, SwcSample<S>> =
            HashMap::with_capacity(self.samples.len());
        let mut root = None;

        for row in self.samples {
            if let Some(p) = row.parent_id {
                let entry = parent_to_children.entry(p).or_insert_with(Vec::default);
                entry.push(row.sample_id);
                id_to_sample
                    .insert(row.sample_id, row)
                    .ok_or_else(|| InconsistentNeuronError::DuplicateSampleError(row.sample_id))?;
            } else if root.is_some() {
                return Err(InconsistentNeuronError::MultipleRootsError);
            } else {
                root = Some(row);
            }
        }

        let mut samples = Vec::with_capacity(id_to_sample.len() + 1);

        let mut to_visit = vec![];
        let mut next_id: SampleId = 1;

        if let Some(r) = root {
            let children = parent_to_children.remove(&r.sample_id).map_or_else(
                || Vec::with_capacity(0),
                |mut v| {
                    v.sort_unstable_by_key(|&x| Reverse(x));
                    v
                },
            );
            if reindex {
                samples.push(r.with_ids(next_id, None));
                to_visit.extend(children.into_iter().map(|c| (next_id, c)));
                next_id += 1;
            } else {
                samples.push(r);
                to_visit.extend(children.into_iter().map(|c| (r.sample_id, c)));
            }
        } else {
            return Err(InconsistentNeuronError::NoRootError);
        }

        while let Some((parent_id, row_id)) = to_visit.pop() {
            let row = id_to_sample
                .remove(&row_id)
                .expect("Just constructed this vec");
            let children = parent_to_children.remove(&row.sample_id).map_or_else(
                || Vec::with_capacity(0),
                |mut v| {
                    v.sort_unstable_by_key(|&id| Reverse(id));
                    v
                },
            );
            if reindex {
                samples.push(row.with_ids(next_id, Some(parent_id)));
                to_visit.extend(children.into_iter().map(|c| (next_id, c)));
                next_id += 1;
            } else {
                samples.push(row);
                to_visit.extend(children.into_iter().map(|c| (row.sample_id, c)));
            }
        }

        if id_to_sample.is_empty() {
            Ok(SwcNeuron {
                samples,
                header: self.header,
            })
        } else {
            Err(InconsistentNeuronError::DisconnectedError)
        }
    }
/// Re-order its samples in pre-order depth first search.
/// Children are visited in the order of their original sample number.
///
/// Returns an error if the neuron is not a self-consistent tree.
Re-order its samples in pre-order depth first search.
Children are visited in the order of their original sample number.

Returns an error if the neuron is not a self-consistent tree.
Re - order its samples in pre - order depth first search . Children are visited in the order of their original sample number . Returns an error if the neuron is not a self - consistent tree .
pub fn sort_topo(self, reindex: bool) -> Result<Self, InconsistentNeuronError> {
        // as indices into the original samples vec
        let mut parent_to_children: HashMap<SampleId, Vec<SampleId>> =
            HashMap::with_capacity(self.samples.len());
        let mut id_to_sample: HashMap<SampleId, SwcSample<S>> =
            HashMap::with_capacity(self.samples.len());
        let mut root = None;
        for row in self.samples {
            if let Some(p) = row.parent_id {
                let entry = parent_to_children.entry(p).or_insert_with(Vec::default);
                entry.push(row.sample_id);
                id_to_sample
                    .insert(row.sample_id, row)
                    .ok_or_else(|| InconsistentNeuronError::DuplicateSampleError(row.sample_id))?;
            } else if root.is_some() {
                return Err(InconsistentNeuronError::MultipleRootsError);
            } else {
                root = Some(row);
            }
        }
        let mut samples = Vec::with_capacity(id_to_sample.len() + 1);
        let mut to_visit = vec![];
        let mut next_id: SampleId = 1;
        if let Some(r) = root {
            let children = parent_to_children.remove(&r.sample_id).map_or_else(
                || Vec::with_capacity(0),
                |mut v| {
                    v.sort_unstable_by_key(|&x| Reverse(x));
                    v
                },
            );
            if reindex {
                samples.push(r.with_ids(next_id, None));
                to_visit.extend(children.into_iter().map(|c| (next_id, c)));
                next_id += 1;
            } else {
                samples.push(r);
                to_visit.extend(children.into_iter().map(|c| (r.sample_id, c)));
            }
        } else {
            return Err(InconsistentNeuronError::NoRootError);
        }
        while let Some((parent_id, row_id)) = to_visit.pop() {
            let row = id_to_sample
                .remove(&row_id)
                .expect("Just constructed this vec");
            let children = parent_to_children.remove(&row.sample_id).map_or_else(
                || Vec::with_capacity(0),
                |mut v| {
                    v.sort_unstable_by_key(|&id| Reverse(id));
                    v
                },
            );
            if reindex {
                samples.push(row.with_ids(next_id, Some(parent_id)));
                to_visit.extend(children.into_iter().map(|c| (next_id, c)));
                next_id += 1;
            } else {
                samples.push(row);
                to_visit.extend(children.into_iter().map(|c| (row.sample_id, c)));
            }
        }
        if id_to_sample.is_empty() {
            Ok(SwcNeuron {
                samples,
                header: self.header,
            })
        } else {
            Err(InconsistentNeuronError::DisconnectedError)
        }
    }
pub fn sort_topo ( self , reindex : bool ) -> Result < Self , InconsistentNeuronError > { // as indices into the original samples vec let mut parent_to_children : HashMap < SampleId , Vec < SampleId > > = HashMap :: with_capacity ( self . samples . len ( ) ) ; let mut id_to_sample : HashMap < SampleId , SwcSample < S > > = HashMap :: with_capacity ( self . samples . len ( ) ) ; let mut root = None ; for row in self . samples { if let Some ( p ) = row . parent_id { let entry = parent_to_children . entry ( p ) . or_insert_with ( Vec :: default ) ; entry . push ( row . sample_id ) ; id_to_sample . insert ( row . sample_id , row ) . ok_or_else ( | | InconsistentNeuronError :: DuplicateSampleError ( row . sample_id ) ) ? ; } else if root . is_some ( ) { return Err ( InconsistentNeuronError :: MultipleRootsError ) ; } else { root = Some ( row ) ; } } let mut samples = Vec :: with_capacity ( id_to_sample . len ( ) + 1 ) ; let mut to_visit = vec ! [ ] ; let mut next_id : SampleId = 1 ; if let Some ( r ) = root { let children = parent_to_children . remove ( & r . sample_id ) . map_or_else ( | | Vec :: with_capacity ( 0 ) , | mut v | { v . sort_unstable_by_key ( | & x | Reverse ( x ) ) ; v } , ) ; if reindex { samples . push ( r . with_ids ( next_id , None ) ) ; to_visit . extend ( children . into_iter ( ) . map ( | c | ( next_id , c ) ) ) ; next_id += 1 ; } else { samples . push ( r ) ; to_visit . extend ( children . into_iter ( ) . map ( | c | ( r . sample_id , c ) ) ) ; } } else { return Err ( InconsistentNeuronError :: NoRootError ) ; } while let Some ( ( parent_id , row_id ) ) = to_visit . pop ( ) { let row = id_to_sample . remove ( & row_id ) . expect ( " " ) ; let children = parent_to_children . remove ( & row . sample_id ) . map_or_else ( | | Vec :: with_capacity ( 0 ) , | mut v | { v . sort_unstable_by_key ( | & id | Reverse ( id ) ) ; v } , ) ; if reindex { samples . push ( row . with_ids ( next_id , Some ( parent_id ) ) ) ; to_visit . extend ( children . into_iter ( ) . map ( | c | ( next_id , c ) ) ) ; next_id += 1 ; } else { samples . push ( row ) ; to_visit . extend ( children . into_iter ( ) . map ( | c | ( row . sample_id , c ) ) ) ; } } if id_to_sample . is_empty ( ) { Ok ( SwcNeuron { samples , header : self . header , } ) } else { Err ( InconsistentNeuronError :: DisconnectedError ) } }
Re-order its samples in pre-order depth first search.
Re - order its samples in pre - order depth first search .
self
reindex
bool
self
reindex
bool