Compiling liblevenshtein v0.3.0 (/home/dylon/Workspace/f1r3fly.io/liblevenshtein-rust) warning: fields `free_list` and `rebuild_threshold` are never read --> src/dictionary/double_array_trie.rs:198:5 | 186 | pub struct DoubleArrayTrie { | --------------- fields in this struct ... 198 | free_list: Arc<Vec<usize>>, | ^^^^^^^^^ ... 204 | rebuild_threshold: f64, | ^^^^^^^^^^^^^^^^^ | = note: `DoubleArrayTrie` has derived impls for the traits `Debug` and `Clone`, but these are intentionally ignored during dead code analysis = note: `#[warn(dead_code)]` on by default warning: missing documentation for an associated function --> src/cache/eviction/lru_optimized.rs:166:5 | 166 | pub fn new(dict: D) -> Self { | ^^^^^^^^^^^^^^^^^^^^^^^^^^^ | note: the lint level is defined here --> src/lib.rs:26:9 | 26 | #![warn(missing_docs)] | ^^^^^^^^^^^^ warning: missing documentation for a method --> src/cache/eviction/lru_optimized.rs:185:5 | 185 | pub fn into_inner(self) -> D { | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^ warning: missing documentation for a method --> src/cache/eviction/lru_optimized.rs:190:5 | 190 | pub fn inner(&self) -> &D { | ^^^^^^^^^^^^^^^^^^^^^^^^^ warning: missing documentation for a method --> src/cache/eviction/lru_optimized.rs:216:5 | 216 | pub fn recency(&self, term: &str) -> Option<u64> { | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ warning: missing documentation for a method --> src/cache/eviction/lru_optimized.rs:233:5 | 233 | pub fn find_lru(&self, terms: &[&str]) -> Option<String> { | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ warning: missing documentation for a method --> src/cache/eviction/lru_optimized.rs:260:5 | 260 | pub fn evict_lru(&self, terms: &[&str]) -> Option<String> { | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ warning: missing documentation for a method --> src/cache/eviction/lru_optimized.rs:283:5 | 283 | pub fn clear_metadata(&self) { | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^ warning: missing documentation for a struct --> src/cache/eviction/lru_optimized.rs:351:1 | 351 | pub struct LruOptimizedNode<N> { | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ warning: `liblevenshtein` (lib) generated 9 warnings warning: unused import: `std::time::Duration` --> benches/rayon_evaluation_benchmarks.rs:29:9 | 29 | use std::time::Duration; | ^^^^^^^^^^^^^^^^^^^ | = note: `#[warn(unused_imports)]` on by default warning: unused import: `std::time::Duration` --> benches/rayon_evaluation_benchmarks.rs:51:9 | 51 | use std::time::Duration; | ^^^^^^^^^^^^^^^^^^^ warning: `liblevenshtein` (bench "rayon_evaluation_benchmarks") generated 2 warnings (run `cargo fix --bench "rayon_evaluation_benchmarks"` to apply 2 suggestions) Finished `bench` profile [optimized + debuginfo] target(s) in 47.42s Running benches/rayon_evaluation_benchmarks.rs (target/release/deps/rayon_evaluation_benchmarks-602880b697c49ad2) Benchmarking batch_recency/sequential/100 Benchmarking batch_recency/sequential/100: Warming up for 3.0000 s Benchmarking batch_recency/sequential/100: Collecting 100 samples in estimated 5.0204 s (571k iterations) Benchmarking batch_recency/sequential/100: Analyzing batch_recency/sequential/100 time: [8.7150 µs 8.7530 µs 8.7954 µs] thrpt: [11.370 Melem/s 11.425 Melem/s 11.475 Melem/s] Found 9 outliers among 100 measurements (9.00%) 1 (1.00%) low mild 5 (5.00%) high mild 3 (3.00%) high severe Benchmarking batch_recency/sequential/1000 Benchmarking batch_recency/sequential/1000: Warming up for 3.0000 s Benchmarking batch_recency/sequential/1000: Collecting 100 samples in estimated 5.3708 s (45k iterations) Benchmarking batch_recency/sequential/1000: Analyzing batch_recency/sequential/1000 time: [115.91 µs 116.45 µs 117.02 µs] thrpt: [8.5457 Melem/s 8.5872 Melem/s 8.6271 Melem/s] Found 5 outliers among 100 measurements (5.00%) 3 (3.00%) high mild 2 (2.00%) high severe Benchmarking batch_recency/sequential/10000 Benchmarking batch_recency/sequential/10000: Warming up for 3.0000 s Warning: Unable to complete 100 samples in 5.0s. You may wish to increase target time to 8.1s, enable flat sampling, or reduce sample count to 50. Benchmarking batch_recency/sequential/10000: Collecting 100 samples in estimated 8.0723 s (5050 iterations) Benchmarking batch_recency/sequential/10000: Analyzing batch_recency/sequential/10000 time: [1.5947 ms 1.5995 ms 1.6050 ms] thrpt: [6.2307 Melem/s 6.2519 Melem/s 6.2706 Melem/s] Found 5 outliers among 100 measurements (5.00%) 1 (1.00%) low mild 3 (3.00%) high mild 1 (1.00%) high severe Benchmarking find_n_lru/sequential/100_find_10 Benchmarking find_n_lru/sequential/100_find_10: Warming up for 3.0000 s Benchmarking find_n_lru/sequential/100_find_10: Collecting 100 samples in estimated 5.0152 s (550k iterations) Benchmarking find_n_lru/sequential/100_find_10: Analyzing find_n_lru/sequential/100_find_10 time: [8.9753 µs 9.0141 µs 9.0534 µs] thrpt: [11.046 Melem/s 11.094 Melem/s 11.142 Melem/s] Found 3 outliers among 100 measurements (3.00%) 1 (1.00%) high mild 2 (2.00%) high severe Benchmarking find_n_lru/sequential/1000_find_100 Benchmarking find_n_lru/sequential/1000_find_100: Warming up for 3.0000 s Benchmarking find_n_lru/sequential/1000_find_100: Collecting 100 samples in estimated 5.0399 s (56k iterations) Benchmarking find_n_lru/sequential/1000_find_100: Analyzing find_n_lru/sequential/1000_find_100 time: [94.386 µs 94.974 µs 95.589 µs] thrpt: [10.461 Melem/s 10.529 Melem/s 10.595 Melem/s] Found 5 outliers among 100 measurements (5.00%) 2 (2.00%) low mild 3 (3.00%) high mild Benchmarking find_n_lru/sequential/10000_find_1000 Benchmarking find_n_lru/sequential/10000_find_1000: Warming up for 3.0000 s Warning: Unable to complete 100 samples in 5.0s. You may wish to increase target time to 5.9s, enable flat sampling, or reduce sample count to 60. Benchmarking find_n_lru/sequential/10000_find_1000: Collecting 100 samples in estimated 5.8638 s (5050 iterations) Benchmarking find_n_lru/sequential/10000_find_1000: Analyzing find_n_lru/sequential/10000_find_1000 time: [1.1608 ms 1.1652 ms 1.1695 ms] thrpt: [8.5507 Melem/s 8.5825 Melem/s 8.6144 Melem/s] Found 2 outliers among 100 measurements (2.00%) 2 (2.00%) high mild Benchmarking size_comparison/sequential/10 Benchmarking size_comparison/sequential/10: Warming up for 3.0000 s Benchmarking size_comparison/sequential/10: Collecting 100 samples in estimated 5.0038 s (4.3M iterations) Benchmarking size_comparison/sequential/10: Analyzing size_comparison/sequential/10 time: [1.1432 µs 1.1490 µs 1.1551 µs] thrpt: [8.6571 Melem/s 8.7029 Melem/s 8.7476 Melem/s] Found 4 outliers among 100 measurements (4.00%) 1 (1.00%) low severe 2 (2.00%) high mild 1 (1.00%) high severe Benchmarking size_comparison/sequential/50 Benchmarking size_comparison/sequential/50: Warming up for 3.0000 s Benchmarking size_comparison/sequential/50: Collecting 100 samples in estimated 5.0198 s (763k iterations) Benchmarking size_comparison/sequential/50: Analyzing size_comparison/sequential/50 time: [6.4476 µs 6.4687 µs 6.4910 µs] thrpt: [7.7029 Melem/s 7.7295 Melem/s 7.7548 Melem/s] Found 3 outliers among 100 measurements (3.00%) 2 (2.00%) low mild 1 (1.00%) high severe Benchmarking size_comparison/sequential/100 Benchmarking size_comparison/sequential/100: Warming up for 3.0000 s Benchmarking size_comparison/sequential/100: Collecting 100 samples in estimated 5.0269 s (389k iterations) Benchmarking size_comparison/sequential/100: Analyzing size_comparison/sequential/100 time: [13.191 µs 13.246 µs 13.302 µs] thrpt: [7.5176 Melem/s 7.5495 Melem/s 7.5809 Melem/s] Found 3 outliers among 100 measurements (3.00%) 1 (1.00%) low mild 2 (2.00%) high mild Benchmarking size_comparison/sequential/500 Benchmarking size_comparison/sequential/500: Warming up for 3.0000 s Benchmarking size_comparison/sequential/500: Collecting 100 samples in estimated 5.1531 s (81k iterations) Benchmarking size_comparison/sequential/500: Analyzing size_comparison/sequential/500 time: [63.127 µs 63.352 µs 63.584 µs] thrpt: [7.8636 Melem/s 7.8925 Melem/s 7.9206 Melem/s] Found 4 outliers among 100 measurements (4.00%) 2 (2.00%) high mild 2 (2.00%) high severe Benchmarking size_comparison/sequential/1000 Benchmarking size_comparison/sequential/1000: Warming up for 3.0000 s Benchmarking size_comparison/sequential/1000: Collecting 100 samples in estimated 5.2491 s (40k iterations) Benchmarking size_comparison/sequential/1000: Analyzing size_comparison/sequential/1000 time: [129.44 µs 129.95 µs 130.45 µs] thrpt: [7.6657 Melem/s 7.6952 Melem/s 7.7257 Melem/s] Found 4 outliers among 100 measurements (4.00%) 1 (1.00%) low mild 2 (2.00%) high mild 1 (1.00%) high severe Benchmarking size_comparison/sequential/5000 Benchmarking size_comparison/sequential/5000: Warming up for 3.0000 s Benchmarking size_comparison/sequential/5000: Collecting 100 samples in estimated 7.9129 s (10k iterations) Benchmarking size_comparison/sequential/5000: Analyzing size_comparison/sequential/5000 time: [782.42 µs 784.74 µs 787.03 µs] thrpt: [6.3530 Melem/s 6.3715 Melem/s 6.3904 Melem/s] Found 7 outliers among 100 measurements (7.00%) 2 (2.00%) low mild 4 (4.00%) high mild 1 (1.00%) high severe Benchmarking size_comparison/sequential/10000 Benchmarking size_comparison/sequential/10000: Warming up for 3.0000 s Warning: Unable to complete 100 samples in 5.0s. You may wish to increase target time to 8.1s, enable flat sampling, or reduce sample count to 50. Benchmarking size_comparison/sequential/10000: Collecting 100 samples in estimated 8.1140 s (5050 iterations) Benchmarking size_comparison/sequential/10000: Analyzing size_comparison/sequential/10000 time: [1.5901 ms 1.5952 ms 1.6004 ms] thrpt: [6.2483 Melem/s 6.2687 Melem/s 6.2888 Melem/s] Found 10 outliers among 100 measurements (10.00%) 6 (6.00%) low mild 3 (3.00%) high mild 1 (1.00%) high severe