Compiling liblevenshtein v0.1.0 (/home/dylon/Workspace/f1r3fly.io/liblevenshtein-rust) Finished `bench` profile [optimized + debuginfo] target(s) in 42.87s Running benches/threshold_analysis.rs (target/release/deps/threshold_analysis-87ff564f97dbcaff) === Dictionary size: 100 terms === === Edge Count Distribution === Total nodes: 119 Edge Count | Frequency | Percentage | Cumulative -----------|-----------|------------|------------ 0 | 100 | 84.03% | 84.03% 1 | 8 | 6.72% | 90.76% 10 | 11 | 9.24% | 100.00% === Percentiles === Median (p50): 0 edges p75: 0 edges p90: 1 edges p95: 10 edges p99: 10 edges Benchmarking adaptive_threshold/contains/100 Benchmarking adaptive_threshold/contains/100: Warming up for 3.0000 s Benchmarking adaptive_threshold/contains/100: Collecting 100 samples in estimated 5.0002 s (8.7M iterations) Benchmarking adaptive_threshold/contains/100: Analyzing adaptive_threshold/contains/100 time: [570.19 ns 572.23 ns 574.44 ns] Found 10 outliers among 100 measurements (10.00%) 7 (7.00%) high mild 3 (3.00%) high severe Benchmarking adaptive_threshold/edge_lookup/100 Benchmarking adaptive_threshold/edge_lookup/100: Warming up for 3.0000 s Benchmarking adaptive_threshold/edge_lookup/100: Collecting 100 samples in estimated 5.0001 s (354M iterations) Benchmarking adaptive_threshold/edge_lookup/100: Analyzing adaptive_threshold/edge_lookup/100 time: [14.078 ns 14.129 ns 14.182 ns] Found 9 outliers among 100 measurements (9.00%) 2 (2.00%) low severe 3 (3.00%) low mild 3 (3.00%) high mild 1 (1.00%) high severe === Dictionary size: 500 terms === === Edge Count Distribution === Total nodes: 563 Edge Count | Frequency | Percentage | Cumulative -----------|-----------|------------|------------ 0 | 500 | 88.81% | 88.81% 1 | 7 | 1.24% | 90.05% 5 | 1 | 0.18% | 90.23% 10 | 55 | 9.77% | 100.00% === Percentiles === Median (p50): 0 edges p75: 0 edges p90: 1 edges p95: 10 edges p99: 10 edges Benchmarking adaptive_threshold/contains/500 Benchmarking adaptive_threshold/contains/500: Warming up for 3.0000 s Benchmarking adaptive_threshold/contains/500: Collecting 100 samples in estimated 5.0140 s (1.7M iterations) Benchmarking adaptive_threshold/contains/500: Analyzing adaptive_threshold/contains/500 time: [2.8776 µs 2.8864 µs 2.8955 µs] Found 14 outliers among 100 measurements (14.00%) 3 (3.00%) low severe 5 (5.00%) low mild 5 (5.00%) high mild 1 (1.00%) high severe Benchmarking adaptive_threshold/edge_lookup/500 Benchmarking adaptive_threshold/edge_lookup/500: Warming up for 3.0000 s Benchmarking adaptive_threshold/edge_lookup/500: Collecting 100 samples in estimated 5.0001 s (354M iterations) Benchmarking adaptive_threshold/edge_lookup/500: Analyzing adaptive_threshold/edge_lookup/500 time: [14.038 ns 14.093 ns 14.153 ns] Found 7 outliers among 100 measurements (7.00%) 1 (1.00%) low severe 4 (4.00%) high mild 2 (2.00%) high severe === Dictionary size: 1000 terms === === Edge Count Distribution === Total nodes: 1118 Edge Count | Frequency | Percentage | Cumulative -----------|-----------|------------|------------ 0 | 1000 | 89.45% | 89.45% 1 | 7 | 0.63% | 90.07% 10 | 111 | 9.93% | 100.00% === Percentiles === Median (p50): 0 edges p75: 0 edges p90: 1 edges p95: 10 edges p99: 10 edges Benchmarking adaptive_threshold/contains/1000 Benchmarking adaptive_threshold/contains/1000: Warming up for 3.0000 s Benchmarking adaptive_threshold/contains/1000: Collecting 100 samples in estimated 5.0121 s (722k iterations) Benchmarking adaptive_threshold/contains/1000: Analyzing adaptive_threshold/contains/1000 time: [6.9789 µs 7.0079 µs 7.0381 µs] Found 8 outliers among 100 measurements (8.00%) 6 (6.00%) high mild 2 (2.00%) high severe Benchmarking adaptive_threshold/edge_lookup/1000 Benchmarking adaptive_threshold/edge_lookup/1000: Warming up for 3.0000 s Benchmarking adaptive_threshold/edge_lookup/1000: Collecting 100 samples in estimated 5.0000 s (351M iterations) Benchmarking adaptive_threshold/edge_lookup/1000: Analyzing adaptive_threshold/edge_lookup/1000 time: [13.878 ns 14.008 ns 14.140 ns] Found 5 outliers among 100 measurements (5.00%) 4 (4.00%) high mild 1 (1.00%) high severe === Dictionary size: 5000 terms === === Edge Count Distribution === Total nodes: 5562 Edge Count | Frequency | Percentage | Cumulative -----------|-----------|------------|------------ 0 | 5000 | 89.90% | 89.90% 1 | 6 | 0.11% | 90.00% 5 | 1 | 0.02% | 90.02% 10 | 555 | 9.98% | 100.00% === Percentiles === Median (p50): 0 edges p75: 0 edges p90: 1 edges p95: 10 edges p99: 10 edges Benchmarking adaptive_threshold/contains/5000 Benchmarking adaptive_threshold/contains/5000: Warming up for 3.0000 s Benchmarking adaptive_threshold/contains/5000: Collecting 100 samples in estimated 5.0664 s (141k iterations) Benchmarking adaptive_threshold/contains/5000: Analyzing adaptive_threshold/contains/5000 time: [35.969 µs 36.114 µs 36.267 µs] Found 9 outliers among 100 measurements (9.00%) 1 (1.00%) low severe 6 (6.00%) low mild 2 (2.00%) high mild Benchmarking adaptive_threshold/edge_lookup/5000 Benchmarking adaptive_threshold/edge_lookup/5000: Warming up for 3.0000 s Benchmarking adaptive_threshold/edge_lookup/5000: Collecting 100 samples in estimated 5.0000 s (361M iterations) Benchmarking adaptive_threshold/edge_lookup/5000: Analyzing adaptive_threshold/edge_lookup/5000 time: [14.148 ns 14.222 ns 14.302 ns] Found 4 outliers among 100 measurements (4.00%) 2 (2.00%) low mild 2 (2.00%) high mild