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https://github.com/meilisearch/meilisearch.git
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AscDesc criterion returns documents ordered by numbers then by strings
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parent
110bf6b778
commit
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@ -7,7 +7,7 @@ use roaring::RoaringBitmap;
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use super::{Criterion, CriterionParameters, CriterionResult};
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use crate::search::criteria::{resolve_query_tree, CriteriaBuilder};
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use crate::search::facet::FacetNumberIter;
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use crate::search::facet::{FacetNumberIter, FacetStringIter};
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use crate::search::query_tree::Operation;
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use crate::{FieldId, Index, Result};
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@ -20,7 +20,7 @@ pub struct AscDesc<'t> {
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rtxn: &'t heed::RoTxn<'t>,
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field_name: String,
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field_id: Option<FieldId>,
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ascending: bool,
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is_ascending: bool,
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query_tree: Option<Operation>,
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candidates: Box<dyn Iterator<Item = heed::Result<RoaringBitmap>> + 't>,
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allowed_candidates: RoaringBitmap,
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@ -53,12 +53,16 @@ impl<'t> AscDesc<'t> {
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rtxn: &'t heed::RoTxn,
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parent: Box<dyn Criterion + 't>,
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field_name: String,
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ascending: bool,
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is_ascending: bool,
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) -> Result<Self> {
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let fields_ids_map = index.fields_ids_map(rtxn)?;
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let field_id = fields_ids_map.id(&field_name);
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let faceted_candidates = match field_id {
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Some(field_id) => index.number_faceted_documents_ids(rtxn, field_id)?,
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Some(field_id) => {
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let number_faceted = index.number_faceted_documents_ids(rtxn, field_id)?;
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let string_faceted = index.string_faceted_documents_ids(rtxn, field_id)?;
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number_faceted | string_faceted
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}
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None => RoaringBitmap::default(),
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};
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@ -67,7 +71,7 @@ impl<'t> AscDesc<'t> {
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rtxn,
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field_name,
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field_id,
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ascending,
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is_ascending,
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query_tree: None,
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candidates: Box::new(std::iter::empty()),
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allowed_candidates: RoaringBitmap::new(),
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@ -87,7 +91,7 @@ impl<'t> Criterion for AscDesc<'t> {
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loop {
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debug!(
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"Facet {}({}) iteration",
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if self.ascending { "Asc" } else { "Desc" },
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if self.is_ascending { "Asc" } else { "Desc" },
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self.field_name
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);
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@ -136,7 +140,7 @@ impl<'t> Criterion for AscDesc<'t> {
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self.index,
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self.rtxn,
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field_id,
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self.ascending,
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self.is_ascending,
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candidates & &self.faceted_candidates,
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)?,
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None => Box::new(std::iter::empty()),
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@ -167,31 +171,49 @@ fn facet_ordered<'t>(
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index: &'t Index,
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rtxn: &'t heed::RoTxn,
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field_id: FieldId,
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ascending: bool,
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is_ascending: bool,
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candidates: RoaringBitmap,
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) -> Result<Box<dyn Iterator<Item = heed::Result<RoaringBitmap>> + 't>> {
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if candidates.len() <= CANDIDATES_THRESHOLD {
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let iter = iterative_facet_ordered_iter(index, rtxn, field_id, ascending, candidates)?;
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Ok(Box::new(iter.map(Ok)) as Box<dyn Iterator<Item = _>>)
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let number_iter = iterative_facet_number_ordered_iter(
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index,
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rtxn,
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field_id,
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is_ascending,
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candidates.clone(),
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)?;
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let string_iter =
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iterative_facet_string_ordered_iter(index, rtxn, field_id, is_ascending, candidates)?;
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Ok(Box::new(number_iter.chain(string_iter).map(Ok)) as Box<dyn Iterator<Item = _>>)
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} else {
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let facet_fn = if ascending {
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let facet_number_fn = if is_ascending {
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FacetNumberIter::new_reducing
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} else {
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FacetNumberIter::new_reverse_reducing
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};
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let iter = facet_fn(rtxn, index, field_id, candidates)?;
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Ok(Box::new(iter.map(|res| res.map(|(_, docids)| docids))))
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let number_iter = facet_number_fn(rtxn, index, field_id, candidates.clone())?
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.map(|res| res.map(|(_, docids)| docids));
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let facet_string_fn = if is_ascending {
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FacetStringIter::new_reducing
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} else {
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FacetStringIter::new_reverse_reducing
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};
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let string_iter = facet_string_fn(rtxn, index, field_id, candidates)?
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.map(|res| res.map(|(_, _, docids)| docids));
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Ok(Box::new(number_iter.chain(string_iter)))
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}
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}
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/// Fetch the whole list of candidates facet values one by one and order them by it.
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/// Fetch the whole list of candidates facet number values one by one and order them by it.
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///
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/// This function is fast when the amount of candidates to rank is small.
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fn iterative_facet_ordered_iter<'t>(
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fn iterative_facet_number_ordered_iter<'t>(
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index: &'t Index,
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rtxn: &'t heed::RoTxn,
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field_id: FieldId,
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ascending: bool,
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is_ascending: bool,
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candidates: RoaringBitmap,
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) -> Result<impl Iterator<Item = RoaringBitmap> + 't> {
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let mut docids_values = Vec::with_capacity(candidates.len() as usize);
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@ -199,14 +221,14 @@ fn iterative_facet_ordered_iter<'t>(
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let left = (field_id, docid, f64::MIN);
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let right = (field_id, docid, f64::MAX);
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let mut iter = index.field_id_docid_facet_f64s.range(rtxn, &(left..=right))?;
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let entry = if ascending { iter.next() } else { iter.last() };
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let entry = if is_ascending { iter.next() } else { iter.last() };
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if let Some(((_, _, value), ())) = entry.transpose()? {
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docids_values.push((docid, OrderedFloat(value)));
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}
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}
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docids_values.sort_unstable_by_key(|(_, v)| *v);
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let iter = docids_values.into_iter();
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let iter = if ascending {
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let iter = if is_ascending {
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Box::new(iter) as Box<dyn Iterator<Item = _>>
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} else {
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Box::new(iter.rev())
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@ -216,7 +238,49 @@ fn iterative_facet_ordered_iter<'t>(
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// required to collect the result into an owned collection (a Vec).
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// https://github.com/rust-itertools/itertools/issues/499
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let vec: Vec<_> = iter
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.group_by(|(_, v)| v.clone())
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.group_by(|(_, v)| *v)
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.into_iter()
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.map(|(_, ids)| ids.map(|(id, _)| id).collect())
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.collect();
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Ok(vec.into_iter())
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}
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/// Fetch the whole list of candidates facet string values one by one and order them by it.
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///
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/// This function is fast when the amount of candidates to rank is small.
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fn iterative_facet_string_ordered_iter<'t>(
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index: &'t Index,
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rtxn: &'t heed::RoTxn,
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field_id: FieldId,
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is_ascending: bool,
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candidates: RoaringBitmap,
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) -> Result<impl Iterator<Item = RoaringBitmap> + 't> {
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let mut docids_values = Vec::with_capacity(candidates.len() as usize);
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for docid in candidates.iter() {
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let left = (field_id, docid, "");
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let right = (field_id, docid.saturating_add(1), "");
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// FIXME Doing this means that it will never be possible to retrieve
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// the document with id 2^32, not sure this is a real problem.
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let mut iter = index.field_id_docid_facet_strings.range(rtxn, &(left..right))?;
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let entry = if is_ascending { iter.next() } else { iter.last() };
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if let Some(((_, _, value), _)) = entry.transpose()? {
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docids_values.push((docid, value));
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}
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}
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docids_values.sort_unstable_by_key(|(_, v)| *v);
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let iter = docids_values.into_iter();
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let iter = if is_ascending {
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Box::new(iter) as Box<dyn Iterator<Item = _>>
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} else {
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Box::new(iter.rev())
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};
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// The itertools GroupBy iterator doesn't provide an owned version, we are therefore
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// required to collect the result into an owned collection (a Vec).
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// https://github.com/rust-itertools/itertools/issues/499
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let vec: Vec<_> = iter
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.group_by(|(_, v)| *v)
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.into_iter()
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.map(|(_, ids)| ids.map(|(id, _)| id).collect())
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.collect();
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