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use crate::sparql::algebra::QueryDataset;
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use crate::sparql::EvaluationError;
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use crate::store::numeric_encoder::{
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EncodedQuad, EncodedTerm, ReadEncoder, StrContainer, StrEncodingAware, StrId, StrLookup,
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};
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use crate::store::ReadableEncodedStore;
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use lasso::{Rodeo, Spur};
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use std::cell::RefCell;
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use std::iter::{empty, once, Once};
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pub(crate) struct DatasetView<S: ReadableEncodedStore> {
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store: S,
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extra: RefCell<Rodeo>,
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dataset: EncodedDatasetSpec<S::StrId>,
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}
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impl<S: ReadableEncodedStore> DatasetView<S> {
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pub fn new(store: S, dataset: &QueryDataset) -> Result<Self, EvaluationError> {
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let dataset = EncodedDatasetSpec {
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default: dataset
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.default_graph_graphs()
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.map(|graphs| {
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graphs
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.iter()
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.flat_map(|g| store.get_encoded_graph_name(g.as_ref()).transpose())
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.collect::<Result<Vec<_>, _>>()
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})
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.transpose()
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.map_err(|e| e.into())?,
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named: dataset
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.available_named_graphs()
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.map(|graphs| {
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graphs
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.iter()
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.flat_map(|g| {
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store
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.get_encoded_named_or_blank_node(g.as_ref())
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.transpose()
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})
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.collect::<Result<Vec<_>, _>>()
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})
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.transpose()
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.map_err(|e| e.into())?,
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};
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Ok(Self {
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store,
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extra: RefCell::new(Rodeo::default()),
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dataset,
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})
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}
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#[allow(clippy::needless_collect)]
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fn encoded_quads_for_pattern_in_dataset(
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&self,
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subject: Option<EncodedTerm<S::StrId>>,
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predicate: Option<EncodedTerm<S::StrId>>,
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object: Option<EncodedTerm<S::StrId>>,
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graph_name: Option<EncodedTerm<S::StrId>>,
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) -> Box<dyn Iterator<Item = Result<EncodedQuad<DatasetStrId<S::StrId>>, EvaluationError>>>
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{
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if let Some(graph_name) = graph_name {
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if graph_name.is_default_graph() {
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if let Some(default_graph_graphs) = &self.dataset.default {
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if default_graph_graphs.len() == 1 {
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// Single graph optimization
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Box::new(
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map_iter(self.store.encoded_quads_for_pattern(
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subject,
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predicate,
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object,
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Some(default_graph_graphs[0]),
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))
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.map(|quad| {
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let quad = quad?;
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Ok(EncodedQuad::new(
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quad.subject,
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quad.predicate,
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quad.object,
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EncodedTerm::DefaultGraph,
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))
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}),
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)
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} else {
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let iters = default_graph_graphs
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.iter()
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.map(|graph_name| {
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self.store.encoded_quads_for_pattern(
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subject,
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predicate,
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object,
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Some(*graph_name),
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)
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})
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.collect::<Vec<_>>();
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Box::new(map_iter(iters.into_iter().flatten()).map(|quad| {
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let quad = quad?;
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Ok(EncodedQuad::new(
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quad.subject,
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quad.predicate,
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quad.object,
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EncodedTerm::DefaultGraph,
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))
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}))
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}
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} else {
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Box::new(map_iter(
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self.store
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.encoded_quads_for_pattern(subject, predicate, object, None),
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))
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}
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} else if self
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.dataset
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.named
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.as_ref()
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.map_or(true, |d| d.contains(&graph_name))
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{
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Box::new(map_iter(self.store.encoded_quads_for_pattern(
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subject,
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predicate,
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object,
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Some(graph_name),
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)))
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} else {
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Box::new(empty())
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}
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} else if let Some(named_graphs) = &self.dataset.named {
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let iters = named_graphs
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.iter()
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.map(|graph_name| {
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self.store.encoded_quads_for_pattern(
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subject,
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predicate,
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object,
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Some(*graph_name),
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)
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})
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.collect::<Vec<_>>();
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Box::new(map_iter(iters.into_iter().flatten()))
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} else {
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Box::new(
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map_iter(
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self.store
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.encoded_quads_for_pattern(subject, predicate, object, None),
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)
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.filter(|quad| match quad {
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Err(_) => true,
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Ok(quad) => quad.graph_name != EncodedTerm::DefaultGraph,
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}),
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)
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}
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}
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}
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impl<S: ReadableEncodedStore> StrEncodingAware for DatasetView<S> {
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type Error = EvaluationError;
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type StrId = DatasetStrId<S::StrId>;
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}
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impl<S: ReadableEncodedStore> StrLookup for DatasetView<S> {
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fn get_str(&self, id: DatasetStrId<S::StrId>) -> Result<Option<String>, EvaluationError> {
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match id {
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DatasetStrId::Store(id) => self.store.get_str(id).map_err(|e| e.into()),
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DatasetStrId::Temporary(id) => {
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Ok(self.extra.borrow().try_resolve(&id).map(|e| e.to_owned()))
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}
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}
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}
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fn get_str_id(&self, value: &str) -> Result<Option<DatasetStrId<S::StrId>>, EvaluationError> {
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if let Some(id) = self.extra.borrow().get(value) {
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Ok(Some(DatasetStrId::Temporary(id)))
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} else {
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Ok(self
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.store
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.get_str_id(value)
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.map_err(|e| e.into())?
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.map(DatasetStrId::Store))
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}
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}
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}
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impl<S: ReadableEncodedStore> ReadableEncodedStore for DatasetView<S> {
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type QuadsIter =
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Box<dyn Iterator<Item = Result<EncodedQuad<DatasetStrId<S::StrId>>, EvaluationError>>>;
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type GraphsIter = Once<Result<EncodedTerm<DatasetStrId<S::StrId>>, EvaluationError>>;
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fn encoded_quads_for_pattern(
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&self,
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subject: Option<EncodedTerm<Self::StrId>>,
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predicate: Option<EncodedTerm<Self::StrId>>,
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object: Option<EncodedTerm<Self::StrId>>,
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graph_name: Option<EncodedTerm<Self::StrId>>,
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) -> Box<dyn Iterator<Item = Result<EncodedQuad<DatasetStrId<S::StrId>>, EvaluationError>>>
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{
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if let Some((subject, predicate, object, graph_name)) =
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try_map_quad_pattern(subject, predicate, object, graph_name)
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{
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self.encoded_quads_for_pattern_in_dataset(subject, predicate, object, graph_name)
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} else {
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Box::new(empty())
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}
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}
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fn encoded_named_graphs(&self) -> Self::GraphsIter {
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once(Err(EvaluationError::msg(
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"Graphs lookup is not implemented by DatasetView",
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)))
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}
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fn contains_encoded_named_graph(
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&self,
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_: EncodedTerm<Self::StrId>,
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) -> Result<bool, EvaluationError> {
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Err(EvaluationError::msg(
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"Graphs lookup is not implemented by DatasetView",
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))
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}
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}
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fn map_iter<'a, I: StrId>(
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iter: impl Iterator<Item = Result<EncodedQuad<I>, impl Into<EvaluationError>>> + 'a,
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) -> impl Iterator<Item = Result<EncodedQuad<DatasetStrId<I>>, EvaluationError>> + 'a {
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iter.map(|t| {
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t.map(|q| EncodedQuad {
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subject: q.subject.map_id(DatasetStrId::Store),
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predicate: q.predicate.map_id(DatasetStrId::Store),
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object: q.object.map_id(DatasetStrId::Store),
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graph_name: q.graph_name.map_id(DatasetStrId::Store),
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})
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.map_err(|e| e.into())
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})
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}
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type QuadPattern<I> = (
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Option<EncodedTerm<I>>,
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Option<EncodedTerm<I>>,
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Option<EncodedTerm<I>>,
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Option<EncodedTerm<I>>,
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);
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fn try_map_quad_pattern<I: StrId>(
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subject: Option<EncodedTerm<DatasetStrId<I>>>,
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predicate: Option<EncodedTerm<DatasetStrId<I>>>,
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object: Option<EncodedTerm<DatasetStrId<I>>>,
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graph_name: Option<EncodedTerm<DatasetStrId<I>>>,
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) -> Option<QuadPattern<I>> {
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Some((
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transpose(subject.map(|t| t.try_map_id(unwrap_store_id).ok()))?,
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transpose(predicate.map(|t| t.try_map_id(unwrap_store_id).ok()))?,
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transpose(object.map(|t| t.try_map_id(unwrap_store_id).ok()))?,
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transpose(graph_name.map(|t| t.try_map_id(unwrap_store_id).ok()))?,
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))
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}
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fn transpose<T>(o: Option<Option<T>>) -> Option<Option<T>> {
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match o {
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Some(Some(v)) => Some(Some(v)),
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Some(None) => None,
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None => Some(None),
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}
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}
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fn unwrap_store_id<I: StrId>(id: DatasetStrId<I>) -> Result<I, ()> {
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match id {
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DatasetStrId::Store(id) => Ok(id),
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DatasetStrId::Temporary(_) => Err(()),
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}
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}
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impl<'a, S: ReadableEncodedStore> StrContainer for &'a DatasetView<S> {
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fn insert_str(&mut self, value: &str) -> Result<Self::StrId, EvaluationError> {
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if let Some(id) = self.store.get_str_id(value).map_err(|e| e.into())? {
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Ok(DatasetStrId::Store(id))
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} else {
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Ok(DatasetStrId::Temporary(
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self.extra.borrow_mut().get_or_intern(value),
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))
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}
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}
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}
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#[derive(Eq, PartialEq, Debug, Copy, Clone, Hash)]
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pub enum DatasetStrId<I: StrId> {
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Store(I),
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Temporary(Spur),
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}
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impl<I: StrId> StrId for DatasetStrId<I> {}
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struct EncodedDatasetSpec<I: StrId> {
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default: Option<Vec<EncodedTerm<I>>>,
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named: Option<Vec<EncodedTerm<I>>>,
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}
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