Use 2021 edition for inlined format args
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@ -2,7 +2,8 @@
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name = "instant-distance-py"
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version = "0.3.2"
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authors = ["Dirkjan Ochtman <dirkjan@ochtman.nl>"]
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edition = "2018"
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edition = "2021"
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rust-version = "1.58"
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license = "MIT OR Apache-2.0"
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workspace = ".."
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description = "Fast minimal implementation of HNSW maps for approximate nearest neighbors searches"
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@ -58,7 +58,7 @@ impl HnswMap {
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bincode::deserialize_from::<_, instant_distance::HnswMap<FloatArray, MapValue>>(
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BufReader::with_capacity(32 * 1024 * 1024, File::open(fname)?),
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)
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.map_err(|e| PyValueError::new_err(format!("deserialization error: {:?}", e)))?;
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.map_err(|e| PyValueError::new_err(format!("deserialization error: {e:?}")))?;
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Ok(Self { inner: hnsw_map })
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}
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@ -66,7 +66,7 @@ impl HnswMap {
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fn dump(&self, fname: &str) -> PyResult<()> {
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let f = BufWriter::with_capacity(32 * 1024 * 1024, File::create(fname)?);
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bincode::serialize_into(f, &self.inner)
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.map_err(|e| PyValueError::new_err(format!("serialization error: {:?}", e)))?;
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.map_err(|e| PyValueError::new_err(format!("serialization error: {e:?}")))?;
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Ok(())
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}
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@ -115,7 +115,7 @@ impl Hnsw {
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let hnsw = bincode::deserialize_from::<_, instant_distance::Hnsw<FloatArray>>(
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BufReader::with_capacity(32 * 1024 * 1024, File::open(fname)?),
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)
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.map_err(|e| PyValueError::new_err(format!("deserialization error: {:?}", e)))?;
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.map_err(|e| PyValueError::new_err(format!("deserialization error: {e:?}")))?;
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Ok(Self { inner: hnsw })
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}
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@ -123,7 +123,7 @@ impl Hnsw {
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fn dump(&self, fname: &str) -> PyResult<()> {
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let f = BufWriter::with_capacity(32 * 1024 * 1024, File::create(fname)?);
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bincode::serialize_into(f, &self.inner)
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.map_err(|e| PyValueError::new_err(format!("serialization error: {:?}", e)))?;
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.map_err(|e| PyValueError::new_err(format!("serialization error: {e:?}")))?;
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Ok(())
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}
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@ -3,7 +3,8 @@ name = "instant-distance"
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version = "0.6.0"
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license = "MIT OR Apache-2.0"
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authors = ["Dirkjan Ochtman <dirkjan@ochtman.nl>"]
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edition = "2018"
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edition = "2021"
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rust-version = "1.58"
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description = "Fast minimal implementation of HNSW maps for approximate nearest neighbors searches"
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homepage = "https://github.com/InstantDomain/instant-distance"
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repository = "https://github.com/InstantDomain/instant-distance"
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@ -16,7 +16,7 @@ fn map() {
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let values = vec!["zero", "one", "two", "three", "four"];
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let seed = ThreadRng::default().gen::<u64>();
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println!("map (seed = {})", seed);
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println!("map (seed = {seed})");
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let map = Builder::default().seed(seed).build(points, values);
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let mut search = Search::default();
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@ -42,15 +42,15 @@ fn map() {
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#[test]
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fn random_heuristic() {
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let (seed, recall) = randomized(Builder::default());
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println!("heuristic (seed = {}) recall = {}", seed, recall);
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assert!(recall > 97, "expected at least 98, got {}", recall);
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println!("heuristic (seed = {seed}) recall = {recall}");
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assert!(recall > 97, "expected at least 98, got {recall}");
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}
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#[test]
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fn random_simple() {
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let (seed, recall) = randomized(Builder::default().select_heuristic(None));
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println!("simple (seed = {}) recall = {}", seed, recall);
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assert!(recall > 90, "expected at least 90, got {}", recall);
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println!("simple (seed = {seed}) recall = {recall}");
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assert!(recall > 90, "expected at least 90, got {recall}");
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}
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fn randomized(builder: Builder) -> (u64, usize) {
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