├── .gitattributes ├── .gitignore ├── .travis.yml ├── Cargo.toml ├── LICENSE ├── README.md ├── benches └── rksuid_criterion.rs ├── docs ├── _config.yml ├── criterion │ ├── deserialize │ │ └── deserialize │ │ │ ├── base │ │ │ ├── benchmark.json │ │ │ ├── estimates.json │ │ │ ├── raw.csv │ │ │ ├── sample.json │ │ │ └── tukey.json │ │ │ ├── new │ │ │ ├── benchmark.json │ │ │ ├── estimates.json │ │ │ ├── raw.csv │ │ │ ├── sample.json │ │ │ └── tukey.json │ │ │ └── report │ │ │ ├── MAD.svg │ │ │ ├── SD.svg │ │ │ ├── index.html │ │ │ ├── mean.svg │ │ │ ├── median.svg │ │ │ ├── pdf.svg │ │ │ ├── pdf_small.svg │ │ │ ├── regression.svg │ │ │ ├── regression_small.svg │ │ │ └── slope.svg │ ├── gen_payloads │ │ ├── report │ │ │ ├── index.html │ │ │ └── violin.svg │ │ └── rng │ │ │ ├── chacha12 │ │ │ ├── base │ │ │ │ ├── benchmark.json │ │ │ │ ├── estimates.json │ │ │ │ ├── raw.csv │ │ │ │ ├── sample.json │ │ │ │ └── tukey.json │ │ │ ├── new │ │ │ │ ├── benchmark.json │ │ │ │ ├── estimates.json │ │ │ │ ├── raw.csv │ │ │ │ ├── sample.json │ │ │ │ └── tukey.json │ │ │ └── report │ │ │ │ ├── MAD.svg │ │ │ │ ├── SD.svg │ │ │ │ ├── index.html │ │ │ │ ├── mean.svg │ │ │ │ ├── median.svg │ │ │ │ ├── pdf.svg │ │ │ │ ├── pdf_small.svg │ │ │ │ ├── regression.svg │ │ │ │ ├── regression_small.svg │ │ │ │ └── slope.svg │ │ │ ├── chacha8 │ │ │ ├── base │ │ │ │ ├── benchmark.json │ │ │ │ ├── estimates.json │ │ │ │ ├── raw.csv │ │ │ │ ├── sample.json │ │ │ │ └── tukey.json │ │ │ ├── new │ │ │ │ ├── benchmark.json │ │ │ │ ├── estimates.json │ │ │ │ ├── raw.csv │ │ │ │ ├── sample.json │ │ │ │ └── tukey.json │ │ │ └── report │ │ │ │ ├── MAD.svg │ │ │ │ ├── SD.svg │ │ │ │ ├── index.html │ │ │ │ ├── mean.svg │ │ │ │ ├── median.svg │ │ │ │ ├── pdf.svg │ │ │ │ ├── pdf_small.svg │ │ │ │ ├── regression.svg │ │ │ │ ├── regression_small.svg │ │ │ │ └── slope.svg │ │ │ ├── core │ │ │ ├── base │ │ │ │ ├── benchmark.json │ │ │ │ ├── estimates.json │ │ │ │ ├── raw.csv │ │ │ │ ├── sample.json │ │ │ │ └── tukey.json │ │ │ ├── new │ │ │ │ ├── benchmark.json │ │ │ │ ├── estimates.json │ │ │ │ ├── raw.csv │ │ │ │ ├── sample.json │ │ │ │ └── tukey.json │ │ │ └── report │ │ │ │ ├── MAD.svg │ │ │ │ ├── SD.svg │ │ │ │ ├── index.html │ │ │ │ ├── mean.svg │ │ │ │ ├── median.svg │ │ │ │ ├── pdf.svg │ │ │ │ ├── pdf_small.svg │ │ │ │ ├── regression.svg │ │ │ │ ├── regression_small.svg │ │ │ │ └── slope.svg │ │ │ ├── hc128 │ │ │ ├── base │ │ │ │ ├── benchmark.json │ │ │ │ ├── estimates.json │ │ │ │ ├── raw.csv │ │ │ │ ├── sample.json │ │ │ │ └── tukey.json │ │ │ ├── new │ │ │ │ ├── benchmark.json │ │ │ │ ├── estimates.json │ │ │ │ ├── raw.csv │ │ │ │ ├── sample.json │ │ │ │ └── tukey.json │ │ │ └── report │ │ │ │ ├── MAD.svg │ │ │ │ ├── SD.svg │ │ │ │ ├── index.html │ │ │ │ ├── mean.svg │ │ │ │ ├── median.svg │ │ │ │ ├── pdf.svg │ │ │ │ ├── pdf_small.svg │ │ │ │ ├── regression.svg │ │ │ │ ├── regression_small.svg │ │ │ │ └── slope.svg │ │ │ ├── hyperthread │ │ │ ├── base │ │ │ │ ├── benchmark.json │ │ │ │ ├── estimates.json │ │ │ │ ├── raw.csv │ │ │ │ ├── sample.json │ │ │ │ └── tukey.json │ │ │ ├── new │ │ │ │ ├── benchmark.json │ │ │ │ ├── estimates.json │ │ │ │ ├── raw.csv │ │ │ │ ├── sample.json │ │ │ │ └── tukey.json │ │ │ └── report │ │ │ │ ├── MAD.svg │ │ │ │ ├── SD.svg │ │ │ │ ├── index.html │ │ │ │ ├── mean.svg │ │ │ │ ├── median.svg │ │ │ │ ├── pdf.svg │ │ │ │ ├── pdf_small.svg │ │ │ │ ├── regression.svg │ │ │ │ ├── regression_small.svg │ │ │ │ └── slope.svg │ │ │ ├── pcg64fast │ │ │ ├── base │ │ │ │ ├── benchmark.json │ │ │ │ ├── estimates.json │ │ │ │ ├── raw.csv │ │ │ │ ├── sample.json │ │ │ │ └── tukey.json │ │ │ ├── new │ │ │ │ ├── benchmark.json │ │ │ │ ├── estimates.json │ │ │ │ ├── raw.csv │ │ │ │ ├── sample.json │ │ │ │ └── tukey.json │ │ │ └── report │ │ │ │ ├── MAD.svg │ │ │ │ ├── SD.svg │ │ │ │ ├── index.html │ │ │ │ ├── mean.svg │ │ │ │ ├── median.svg │ │ │ │ ├── pdf.svg │ │ │ │ ├── pdf_small.svg │ │ │ │ ├── regression.svg │ │ │ │ ├── regression_small.svg │ │ │ │ └── slope.svg │ │ │ ├── report │ │ │ ├── index.html │ │ │ └── violin.svg │ │ │ ├── sfmt │ │ │ ├── base │ │ │ │ ├── benchmark.json │ │ │ │ ├── estimates.json │ │ │ │ ├── raw.csv │ │ │ │ ├── sample.json │ │ │ │ └── tukey.json │ │ │ ├── new │ │ │ │ ├── benchmark.json │ │ │ │ ├── estimates.json │ │ │ │ ├── raw.csv │ │ │ │ ├── sample.json │ │ │ │ └── tukey.json │ │ │ └── report │ │ │ │ ├── MAD.svg │ │ │ │ ├── SD.svg │ │ │ │ ├── index.html │ │ │ │ ├── mean.svg │ │ │ │ ├── median.svg │ │ │ │ ├── pdf.svg │ │ │ │ ├── pdf_small.svg │ │ │ │ ├── regression.svg │ │ │ │ ├── regression_small.svg │ │ │ │ └── slope.svg │ │ │ ├── wyrng │ │ │ ├── base │ │ │ │ ├── benchmark.json │ │ │ │ ├── estimates.json │ │ │ │ ├── raw.csv │ │ │ │ ├── sample.json │ │ │ │ └── tukey.json │ │ │ ├── new │ │ │ │ ├── benchmark.json │ │ │ │ ├── estimates.json │ │ │ │ ├── raw.csv │ │ │ │ ├── sample.json │ │ │ │ └── tukey.json │ │ │ └── report │ │ │ │ ├── MAD.svg │ │ │ │ ├── SD.svg │ │ │ │ ├── index.html │ │ │ │ ├── mean.svg │ │ │ │ ├── median.svg │ │ │ │ ├── pdf.svg │ │ │ │ ├── pdf_small.svg │ │ │ │ ├── regression.svg │ │ │ │ ├── regression_small.svg │ │ │ │ └── slope.svg │ │ │ ├── xorshift │ │ │ ├── base │ │ │ │ ├── benchmark.json │ │ │ │ ├── estimates.json │ │ │ │ ├── raw.csv │ │ │ │ ├── sample.json │ │ │ │ └── tukey.json │ │ │ ├── new │ │ │ │ ├── benchmark.json │ │ │ │ ├── estimates.json │ │ │ │ ├── raw.csv │ │ │ │ ├── sample.json │ │ │ │ └── tukey.json │ │ │ └── report │ │ │ │ ├── MAD.svg │ │ │ │ ├── SD.svg │ │ │ │ ├── index.html │ │ │ │ ├── mean.svg │ │ │ │ ├── median.svg │ │ │ │ ├── pdf.svg │ │ │ │ ├── pdf_small.svg │ │ │ │ ├── regression.svg │ │ │ │ ├── regression_small.svg │ │ │ │ └── slope.svg │ │ │ ├── xoshiro256plusplus │ │ │ ├── base │ │ │ │ ├── benchmark.json │ │ │ │ ├── estimates.json │ │ │ │ ├── raw.csv │ │ │ │ ├── sample.json │ │ │ │ └── tukey.json │ │ │ ├── new │ │ │ │ ├── benchmark.json │ │ │ │ ├── estimates.json │ │ │ │ ├── raw.csv │ │ │ │ ├── sample.json │ │ │ │ └── tukey.json │ │ │ └── report │ │ │ │ ├── MAD.svg │ │ │ │ ├── SD.svg │ │ │ │ ├── index.html │ │ │ │ ├── mean.svg │ │ │ │ ├── median.svg │ │ │ │ ├── pdf.svg │ │ │ │ ├── pdf_small.svg │ │ │ │ ├── regression.svg │ │ │ │ ├── regression_small.svg │ │ │ │ └── slope.svg │ │ │ └── xoshiro256starstar │ │ │ ├── base │ │ │ ├── benchmark.json │ │ │ ├── estimates.json │ │ │ ├── raw.csv │ │ │ ├── sample.json │ │ │ └── tukey.json │ │ │ ├── new │ │ │ ├── benchmark.json │ │ │ ├── estimates.json │ │ │ ├── raw.csv │ │ │ ├── sample.json │ │ │ └── tukey.json │ │ │ └── report │ │ │ ├── MAD.svg │ │ │ ├── SD.svg │ │ │ ├── index.html │ │ │ ├── mean.svg │ │ │ ├── median.svg │ │ │ ├── pdf.svg │ │ │ ├── pdf_small.svg │ │ │ ├── regression.svg │ │ │ ├── regression_small.svg │ │ │ └── slope.svg │ ├── new │ │ ├── new-with-payload │ │ │ ├── base │ │ │ │ ├── benchmark.json │ │ │ │ ├── estimates.json │ │ │ │ ├── raw.csv │ │ │ │ ├── sample.json │ │ │ │ └── tukey.json │ │ │ ├── change │ │ │ │ └── estimates.json │ │ │ ├── new │ │ │ │ ├── benchmark.json │ │ │ │ ├── estimates.json │ │ │ │ ├── raw.csv │ │ │ │ ├── sample.json │ │ │ │ └── tukey.json │ │ │ └── report │ │ │ │ ├── MAD.svg │ │ │ │ ├── SD.svg │ │ │ │ ├── both │ │ │ │ ├── pdf.svg │ │ │ │ └── regression.svg │ │ │ │ ├── change │ │ │ │ ├── mean.svg │ │ │ │ ├── median.svg │ │ │ │ └── t-test.svg │ │ │ │ ├── index.html │ │ │ │ ├── mean.svg │ │ │ │ ├── median.svg │ │ │ │ ├── pdf.svg │ │ │ │ ├── pdf_small.svg │ │ │ │ ├── regression.svg │ │ │ │ ├── regression_small.svg │ │ │ │ ├── relative_pdf_small.svg │ │ │ │ ├── relative_regression_small.svg │ │ │ │ └── slope.svg │ │ ├── new-with-timestamp │ │ │ ├── base │ │ │ │ ├── benchmark.json │ │ │ │ ├── estimates.json │ │ │ │ ├── raw.csv │ │ │ │ ├── sample.json │ │ │ │ └── tukey.json │ │ │ ├── change │ │ │ │ └── estimates.json │ │ │ ├── new │ │ │ │ ├── benchmark.json │ │ │ │ ├── estimates.json │ │ │ │ ├── raw.csv │ │ │ │ ├── sample.json │ │ │ │ └── tukey.json │ │ │ └── report │ │ │ │ ├── MAD.svg │ │ │ │ ├── SD.svg │ │ │ │ ├── both │ │ │ │ ├── pdf.svg │ │ │ │ └── regression.svg │ │ │ │ ├── change │ │ │ │ ├── mean.svg │ │ │ │ ├── median.svg │ │ │ │ └── t-test.svg │ │ │ │ ├── index.html │ │ │ │ ├── mean.svg │ │ │ │ ├── median.svg │ │ │ │ ├── pdf.svg │ │ │ │ ├── pdf_small.svg │ │ │ │ ├── regression.svg │ │ │ │ ├── regression_small.svg │ │ │ │ ├── relative_pdf_small.svg │ │ │ │ ├── relative_regression_small.svg │ │ │ │ └── slope.svg │ │ ├── new │ │ │ ├── base │ │ │ │ ├── benchmark.json │ │ │ │ ├── estimates.json │ │ │ │ ├── raw.csv │ │ │ │ ├── sample.json │ │ │ │ └── tukey.json │ │ │ ├── change │ │ │ │ └── estimates.json │ │ │ ├── new │ │ │ │ ├── benchmark.json │ │ │ │ ├── estimates.json │ │ │ │ ├── raw.csv │ │ │ │ ├── sample.json │ │ │ │ └── tukey.json │ │ │ └── report │ │ │ │ ├── MAD.svg │ │ │ │ ├── SD.svg │ │ │ │ ├── both │ │ │ │ ├── pdf.svg │ │ │ │ └── regression.svg │ │ │ │ ├── change │ │ │ │ ├── mean.svg │ │ │ │ ├── median.svg │ │ │ │ └── t-test.svg │ │ │ │ ├── index.html │ │ │ │ ├── mean.svg │ │ │ │ ├── median.svg │ │ │ │ ├── pdf.svg │ │ │ │ ├── pdf_small.svg │ │ │ │ ├── regression.svg │ │ │ │ ├── regression_small.svg │ │ │ │ ├── relative_pdf_small.svg │ │ │ │ ├── relative_regression_small.svg │ │ │ │ └── slope.svg │ │ └── report │ │ │ ├── index.html │ │ │ └── violin.svg │ ├── report │ │ └── index.html │ ├── serialize │ │ └── serialize │ │ │ ├── base │ │ │ ├── benchmark.json │ │ │ ├── estimates.json │ │ │ ├── raw.csv │ │ │ ├── sample.json │ │ │ └── tukey.json │ │ │ ├── new │ │ │ ├── benchmark.json │ │ │ ├── estimates.json │ │ │ ├── raw.csv │ │ │ ├── sample.json │ │ │ └── tukey.json │ │ │ └── report │ │ │ ├── MAD.svg │ │ │ ├── SD.svg │ │ │ ├── index.html │ │ │ ├── mean.svg │ │ │ ├── median.svg │ │ │ ├── pdf.svg │ │ │ ├── pdf_small.svg │ │ │ ├── regression.svg │ │ │ ├── regression_small.svg │ │ │ └── slope.svg │ └── sort │ │ ├── 5 │ │ └── report │ │ │ ├── index.html │ │ │ └── violin.svg │ │ ├── 10 │ │ └── report │ │ │ ├── index.html │ │ │ └── violin.svg │ │ ├── 100 │ │ └── report │ │ │ ├── index.html │ │ │ └── violin.svg │ │ ├── 1000 │ │ └── report │ │ │ ├── index.html │ │ │ └── violin.svg │ │ ├── 5000 │ │ └── report │ │ │ ├── index.html │ │ │ └── violin.svg │ │ ├── 10000 │ │ └── report │ │ │ ├── index.html │ │ │ └── violin.svg │ │ ├── 50000 │ │ └── report │ │ │ ├── index.html │ │ │ └── violin.svg │ │ ├── 100000 │ │ └── report │ │ │ ├── index.html │ │ │ └── violin.svg │ │ ├── report │ │ ├── index.html │ │ ├── lines.svg │ │ └── violin.svg │ │ ├── sort │ │ ├── 5 │ │ │ ├── base │ │ │ │ ├── benchmark.json │ │ │ │ ├── estimates.json │ │ │ │ ├── raw.csv │ │ │ │ ├── sample.json │ │ │ │ └── tukey.json │ │ │ ├── new │ │ │ │ ├── benchmark.json │ │ │ │ ├── estimates.json │ │ │ │ ├── raw.csv │ │ │ │ ├── sample.json │ │ │ │ └── tukey.json │ │ │ └── report │ │ │ │ ├── MAD.svg │ │ │ │ ├── SD.svg │ │ │ │ ├── index.html │ │ │ │ ├── mean.svg │ │ │ │ ├── median.svg │ │ │ │ ├── pdf.svg │ │ │ │ ├── pdf_small.svg │ │ │ │ ├── regression.svg │ │ │ │ ├── regression_small.svg │ │ │ │ └── slope.svg │ │ ├── 10 │ │ │ ├── base │ │ │ │ ├── benchmark.json │ │ │ │ ├── estimates.json │ │ │ │ ├── raw.csv │ │ │ │ ├── sample.json │ │ │ │ └── tukey.json │ │ │ ├── new │ │ │ │ ├── benchmark.json │ │ │ │ ├── estimates.json │ │ │ │ ├── raw.csv │ │ │ │ ├── sample.json │ │ │ │ └── tukey.json │ │ │ └── report │ │ │ │ ├── MAD.svg │ │ │ │ ├── SD.svg │ │ │ │ ├── index.html │ │ │ │ ├── mean.svg │ │ │ │ ├── median.svg │ │ │ │ ├── pdf.svg │ │ │ │ ├── pdf_small.svg │ │ │ │ ├── regression.svg │ │ │ │ ├── regression_small.svg │ │ │ │ └── slope.svg │ │ ├── 100 │ │ │ ├── base │ │ │ │ ├── benchmark.json │ │ │ │ ├── estimates.json │ │ │ │ ├── raw.csv │ │ │ │ ├── sample.json │ │ │ │ └── tukey.json │ │ │ ├── new │ │ │ │ ├── benchmark.json │ │ │ │ ├── estimates.json │ │ │ │ ├── raw.csv │ │ │ │ ├── sample.json │ │ │ │ └── tukey.json │ │ │ └── report │ │ │ │ ├── MAD.svg │ │ │ │ ├── SD.svg │ │ │ │ ├── index.html │ │ │ │ ├── mean.svg │ │ │ │ ├── median.svg │ │ │ │ ├── pdf.svg │ │ │ │ ├── pdf_small.svg │ │ │ │ ├── regression.svg │ │ │ │ ├── regression_small.svg │ │ │ │ └── slope.svg │ │ ├── 1000 │ │ │ ├── base │ │ │ │ ├── benchmark.json │ │ │ │ ├── estimates.json │ │ │ │ ├── raw.csv │ │ │ │ ├── sample.json │ │ │ │ └── tukey.json │ │ │ ├── new │ │ │ │ ├── benchmark.json │ │ │ │ ├── estimates.json │ │ │ │ ├── raw.csv │ │ │ │ ├── sample.json │ │ │ │ └── tukey.json │ │ │ └── report │ │ │ │ ├── MAD.svg │ │ │ │ ├── SD.svg │ │ │ │ ├── index.html │ │ │ │ ├── mean.svg │ │ │ │ ├── median.svg │ │ │ │ ├── pdf.svg │ │ │ │ ├── pdf_small.svg │ │ │ │ ├── regression.svg │ │ │ │ ├── regression_small.svg │ │ │ │ └── slope.svg │ │ ├── 5000 │ │ │ ├── base │ │ │ │ ├── benchmark.json │ │ │ │ ├── estimates.json │ │ │ │ ├── raw.csv │ │ │ │ ├── sample.json │ │ │ │ └── tukey.json │ │ │ ├── new │ │ │ │ ├── benchmark.json │ │ │ │ ├── estimates.json │ │ │ │ ├── raw.csv │ │ │ │ ├── sample.json │ │ │ │ └── tukey.json │ │ │ └── report │ │ │ │ ├── MAD.svg │ │ │ │ ├── SD.svg │ │ │ │ ├── index.html │ │ │ │ ├── mean.svg │ │ │ │ ├── median.svg │ │ │ │ ├── pdf.svg │ │ │ │ ├── pdf_small.svg │ │ │ │ ├── regression.svg │ │ │ │ ├── regression_small.svg │ │ │ │ └── slope.svg │ │ ├── 10000 │ │ │ ├── base │ │ │ │ ├── benchmark.json │ │ │ │ ├── estimates.json │ │ │ │ ├── raw.csv │ │ │ │ ├── sample.json │ │ │ │ └── tukey.json │ │ │ ├── new │ │ │ │ ├── benchmark.json │ │ │ │ ├── estimates.json │ │ │ │ ├── raw.csv │ │ │ │ ├── sample.json │ │ │ │ └── tukey.json │ │ │ └── report │ │ │ │ ├── MAD.svg │ │ │ │ ├── SD.svg │ │ │ │ ├── index.html │ │ │ │ ├── mean.svg │ │ │ │ ├── median.svg │ │ │ │ ├── pdf.svg │ │ │ │ ├── pdf_small.svg │ │ │ │ ├── regression.svg │ │ │ │ ├── regression_small.svg │ │ │ │ └── slope.svg │ │ ├── 50000 │ │ │ ├── base │ │ │ │ ├── benchmark.json │ │ │ │ ├── estimates.json │ │ │ │ ├── raw.csv │ │ │ │ ├── sample.json │ │ │ │ └── tukey.json │ │ │ ├── new │ │ │ │ ├── benchmark.json │ │ │ │ ├── estimates.json │ │ │ │ ├── raw.csv │ │ │ │ ├── sample.json │ │ │ │ └── tukey.json │ │ │ └── report │ │ │ │ ├── MAD.svg │ │ │ │ ├── SD.svg │ │ │ │ ├── index.html │ │ │ │ ├── mean.svg │ │ │ │ ├── median.svg │ │ │ │ ├── pdf.svg │ │ │ │ ├── pdf_small.svg │ │ │ │ ├── regression.svg │ │ │ │ ├── regression_small.svg │ │ │ │ └── slope.svg │ │ ├── 100000 │ │ │ ├── base │ │ │ │ ├── benchmark.json │ │ │ │ ├── estimates.json │ │ │ │ ├── raw.csv │ │ │ │ ├── sample.json │ │ │ │ └── tukey.json │ │ │ ├── new │ │ │ │ ├── benchmark.json │ │ │ │ ├── estimates.json │ │ │ │ ├── raw.csv │ │ │ │ ├── sample.json │ │ │ │ └── tukey.json │ │ │ └── report │ │ │ │ ├── MAD.svg │ │ │ │ ├── SD.svg │ │ │ │ ├── index.html │ │ │ │ ├── mean.svg │ │ │ │ ├── median.svg │ │ │ │ ├── pdf.svg │ │ │ │ ├── pdf_small.svg │ │ │ │ ├── regression.svg │ │ │ │ ├── regression_small.svg │ │ │ │ └── slope.svg │ │ └── report │ │ │ ├── index.html │ │ │ ├── lines.svg │ │ │ └── violin.svg │ │ └── unstable │ │ ├── 5 │ │ ├── base │ │ │ ├── benchmark.json │ │ │ ├── estimates.json │ │ │ ├── raw.csv │ │ │ ├── sample.json │ │ │ └── tukey.json │ │ ├── new │ │ │ ├── benchmark.json │ │ │ ├── estimates.json │ │ │ ├── raw.csv │ │ │ ├── sample.json │ │ │ └── tukey.json │ │ └── report │ │ │ ├── MAD.svg │ │ │ ├── SD.svg │ │ │ ├── index.html │ │ │ ├── mean.svg │ │ │ ├── median.svg │ │ │ ├── pdf.svg │ │ │ ├── pdf_small.svg │ │ │ ├── regression.svg │ │ │ ├── regression_small.svg │ │ │ └── slope.svg │ │ ├── 10 │ │ ├── base │ │ │ ├── benchmark.json │ │ │ ├── estimates.json │ │ │ ├── raw.csv │ │ │ ├── sample.json │ │ │ └── tukey.json │ │ ├── new │ │ │ ├── benchmark.json │ │ │ ├── estimates.json │ │ │ ├── raw.csv │ │ │ ├── sample.json │ │ │ └── tukey.json │ │ └── report │ │ │ ├── MAD.svg │ │ │ ├── SD.svg │ │ │ ├── index.html │ │ │ ├── mean.svg │ │ │ ├── median.svg │ │ │ ├── pdf.svg │ │ │ ├── pdf_small.svg │ │ │ ├── regression.svg │ │ │ ├── regression_small.svg │ │ │ └── slope.svg │ │ ├── 100 │ │ ├── base │ │ │ ├── benchmark.json │ │ │ ├── estimates.json │ │ │ ├── raw.csv │ │ │ ├── sample.json │ │ │ └── tukey.json │ │ ├── new │ │ │ ├── benchmark.json │ │ │ ├── estimates.json │ │ │ ├── raw.csv │ │ │ ├── sample.json │ │ │ └── tukey.json │ │ └── report │ │ │ ├── MAD.svg │ │ │ ├── SD.svg │ │ │ ├── index.html │ │ │ ├── mean.svg │ │ │ ├── median.svg │ │ │ ├── pdf.svg │ │ │ ├── pdf_small.svg │ │ │ ├── regression.svg │ │ │ ├── regression_small.svg │ │ │ └── slope.svg │ │ ├── 1000 │ │ ├── base │ │ │ ├── benchmark.json │ │ │ ├── estimates.json │ │ │ ├── raw.csv │ │ │ ├── sample.json │ │ │ └── tukey.json │ │ ├── new │ │ │ ├── benchmark.json │ │ │ ├── estimates.json │ │ │ ├── raw.csv │ │ │ ├── sample.json │ │ │ └── tukey.json │ │ └── report │ │ │ ├── MAD.svg │ │ │ ├── SD.svg │ │ │ ├── index.html │ │ │ ├── mean.svg │ │ │ ├── median.svg │ │ │ ├── pdf.svg │ │ │ ├── pdf_small.svg │ │ │ ├── regression.svg │ │ │ ├── regression_small.svg │ │ │ └── slope.svg │ │ ├── 5000 │ │ ├── base │ │ │ ├── benchmark.json │ │ │ ├── estimates.json │ │ │ ├── raw.csv │ │ │ ├── sample.json │ │ │ └── tukey.json │ │ ├── new │ │ │ ├── benchmark.json │ │ │ ├── estimates.json │ │ │ ├── raw.csv │ │ │ ├── sample.json │ │ │ └── tukey.json │ │ └── report │ │ │ ├── MAD.svg │ │ │ ├── SD.svg │ │ │ ├── index.html │ │ │ ├── mean.svg │ │ │ ├── median.svg │ │ │ ├── pdf.svg │ │ │ ├── pdf_small.svg │ │ │ ├── regression.svg │ │ │ ├── regression_small.svg │ │ │ └── slope.svg │ │ ├── 10000 │ │ ├── base │ │ │ ├── benchmark.json │ │ │ ├── estimates.json │ │ │ ├── raw.csv │ │ │ ├── sample.json │ │ │ └── tukey.json │ │ ├── new │ │ │ ├── benchmark.json │ │ │ ├── estimates.json │ │ │ ├── raw.csv │ │ │ ├── sample.json │ │ │ └── tukey.json │ │ └── report │ │ │ ├── MAD.svg │ │ │ ├── SD.svg │ │ │ ├── index.html │ │ │ ├── mean.svg │ │ │ ├── median.svg │ │ │ ├── pdf.svg │ │ │ ├── pdf_small.svg │ │ │ ├── regression.svg │ │ │ ├── regression_small.svg │ │ │ └── slope.svg │ │ ├── 50000 │ │ ├── base │ │ │ ├── benchmark.json │ │ │ ├── estimates.json │ │ │ ├── raw.csv │ │ │ ├── sample.json │ │ │ └── tukey.json │ │ ├── new │ │ │ ├── benchmark.json │ │ │ ├── estimates.json │ │ │ ├── raw.csv │ │ │ ├── sample.json │ │ │ └── tukey.json │ │ └── report │ │ │ ├── MAD.svg │ │ │ ├── SD.svg │ │ │ ├── index.html │ │ │ ├── mean.svg │ │ │ ├── median.svg │ │ │ ├── pdf.svg │ │ │ ├── pdf_small.svg │ │ │ ├── regression.svg │ │ │ ├── regression_small.svg │ │ │ └── slope.svg │ │ ├── 100000 │ │ ├── base │ │ │ ├── benchmark.json │ │ │ ├── estimates.json │ │ │ ├── raw.csv │ │ │ ├── sample.json │ │ │ └── tukey.json │ │ ├── new │ │ │ ├── benchmark.json │ │ │ ├── estimates.json │ │ │ ├── raw.csv │ │ │ ├── sample.json │ │ │ └── tukey.json │ │ └── report │ │ │ ├── MAD.svg │ │ │ ├── SD.svg │ │ │ ├── index.html │ │ │ ├── mean.svg │ │ │ ├── median.svg │ │ │ ├── pdf.svg │ │ │ ├── pdf_small.svg │ │ │ ├── regression.svg │ │ │ ├── regression_small.svg │ │ │ └── slope.svg │ │ └── report │ │ ├── index.html │ │ ├── lines.svg │ │ └── violin.svg └── index.html ├── src └── lib.rs └── tests ├── compat.rs ├── new.rs ├── props.rs ├── serialize.rs └── sorting.rs /.gitattributes: -------------------------------------------------------------------------------- 1 | # Auto detect text files and perform LF normalization 2 | * text=auto 3 | -------------------------------------------------------------------------------- /.gitignore: -------------------------------------------------------------------------------- 1 | # Generated by Cargo 2 | # will have compiled files and executables 3 | /target/ 4 | 5 | # Remove Cargo.lock from gitignore if creating an executable, leave it for libraries 6 | # More information here https://doc.rust-lang.org/cargo/guide/cargo-toml-vs-cargo-lock.html 7 | Cargo.lock 8 | 9 | # These are backup files generated by rustfmt 10 | **/*.rs.bk 11 | -------------------------------------------------------------------------------- /.travis.yml: -------------------------------------------------------------------------------- 1 | language: rust 2 | cache: cargo 3 | rust: 4 | - stable 5 | - nightly 6 | script: 7 | - cargo test 8 | 9 | before_install: 10 | - curl -L https://github.com/mozilla/grcov/releases/latest/download/grcov-linux-x86_64.tar.bz2 | tar jxf - 11 | 12 | jobs: 13 | include: 14 | - stage: Benchmarking 15 | script: cargo bench 16 | rust: nightly 17 | - stage: Coverage 18 | script: 19 | - export CARGO_INCREMENTAL=0 20 | - export RUSTFLAGS="-Zprofile -Ccodegen-units=1 -Cinline-threshold=0 -Clink-dead-code -Coverflow-checks=off -Zno-landing-pads" 21 | - cargo build $CARGO_OPTIONS 22 | - cargo test --verbose $CARGO_OPTIONS 23 | - | 24 | zip -0 ccov.zip `find . \( -name "rksuid*.gc*" \) -print`; 25 | ./grcov ccov.zip -s . -t lcov --llvm --branch --ignore-not-existing --ignore "/*" -o lcov.info; 26 | bash <(curl -s https://codecov.io/bash) -f lcov.info; 27 | rust: nightly 28 | 29 | matrix: 30 | allow_failures: 31 | - rust: nightly 32 | fast_finish: true 33 | -------------------------------------------------------------------------------- /Cargo.toml: -------------------------------------------------------------------------------- 1 | [package] 2 | name = "rksuid" 3 | version = "0.4.0" 4 | authors = ["nharring@gmail.com"] 5 | edition = "2018" 6 | description="Rust implementation of the Segment.io KSUID format" 7 | repository="https://github.com/nharring/rksuid" 8 | readme="README.md" 9 | license="MIT" 10 | keywords=["ksuid", "uuid"] 11 | 12 | 13 | [badges] 14 | travis-ci = {repository="nharring/rksuid", branch="master"} 15 | codecov = { repository = "nharring/rksuid", branch = "master", service = "github" } 16 | maintenance = {status="actively-developed"} 17 | 18 | [dependencies] 19 | base-encode = "0.3.0" 20 | rand = "0.7" 21 | rand_core = "0.5.1" 22 | chrono = "0.4" 23 | time = "0.1" 24 | arrayref = "0.3.5" 25 | rand_pcg = "0.2.0" 26 | strum = "0.16.0" 27 | strum_macros = "0.16.0" 28 | 29 | [dev-dependencies] 30 | criterion = "0.3" 31 | ksuid = "0.2.0" 32 | 33 | [[bench]] 34 | name = "rksuid_criterion" 35 | harness = false 36 | -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | MIT License 2 | 3 | Copyright (c) 2019 Nicholas Harring 4 | 5 | Permission is hereby granted, free of charge, to any person obtaining a copy 6 | of this software and associated documentation files (the "Software"), to deal 7 | in the Software without restriction, including without limitation the rights 8 | to use, copy, modify, merge, publish, distribute, sublicense, and/or sell 9 | copies of the Software, and to permit persons to whom the Software is 10 | furnished to do so, subject to the following conditions: 11 | 12 | The above copyright notice and this permission notice shall be included in all 13 | copies or substantial portions of the Software. 14 | 15 | THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR 16 | IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, 17 | FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE 18 | AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER 19 | LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, 20 | OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE 21 | SOFTWARE. 22 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # rksuid 2 | Rust implementation of Segment.io's ksuid 3 | 4 | I have no association with Segment, just a fan of the format. 5 | 6 | # Inspiration 7 | Segment [published](https://segment.com/blog/a-brief-history-of-the-uuid/) a nifty UUID format and I thought it'd be fun to implement a compatible version in pure Rust as a way to learn the language more thoroughly and keep myself sharp while looking for a new coding gig. 8 | 9 | # Documentation 10 | https://docs.rs/rksuid/ 11 | 12 | # Benchmarks 13 | https://nharring.github.io/rksuid/criterion/report/index.html 14 | https://nharring.github.io/rksuid/criterion/gen_payloads/rng_/report/index.html 15 | -------------------------------------------------------------------------------- /docs/_config.yml: -------------------------------------------------------------------------------- 1 | theme: jekyll-theme-minimal -------------------------------------------------------------------------------- /docs/criterion/deserialize/deserialize/base/benchmark.json: -------------------------------------------------------------------------------- 1 | {"group_id":"deserialize","function_id":"deserialize ","value_str":null,"throughput":{"Bytes":24},"full_id":"deserialize/deserialize ","directory_name":"deserialize/deserialize","title":"deserialize/deserialize "} -------------------------------------------------------------------------------- /docs/criterion/deserialize/deserialize/base/estimates.json: -------------------------------------------------------------------------------- 1 | {"Mean":{"confidence_interval":{"confidence_level":0.95,"lower_bound":1479.7604032232962,"upper_bound":1495.3153991064164},"point_estimate":1486.3255948501092,"standard_error":4.037238392303347},"Median":{"confidence_interval":{"confidence_level":0.95,"lower_bound":1476.3422212587616,"upper_bound":1484.711684370258},"point_estimate":1479.4162599625422,"standard_error":1.9105163491667139},"MedianAbsDev":{"confidence_interval":{"confidence_level":0.95,"lower_bound":11.957880874751694,"upper_bound":17.910899914210297},"point_estimate":16.167118853361004,"standard_error":1.445826841133602},"Slope":{"confidence_interval":{"confidence_level":0.95,"lower_bound":1477.3402539797137,"upper_bound":1483.3686212398027},"point_estimate":1480.3089195020107,"standard_error":1.5347168944046587},"StdDev":{"confidence_interval":{"confidence_level":0.95,"lower_bound":12.343601809664074,"upper_bound":62.13207553589865},"point_estimate":40.338950230267564,"standard_error":13.541500767249326}} -------------------------------------------------------------------------------- /docs/criterion/deserialize/deserialize/base/sample.json: -------------------------------------------------------------------------------- 1 | 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-------------------------------------------------------------------------------- /docs/criterion/deserialize/deserialize/base/tukey.json: -------------------------------------------------------------------------------- 1 | [1406.4579399432594,1438.2573674561634,1523.0558408239074,1554.8552683368114] -------------------------------------------------------------------------------- /docs/criterion/deserialize/deserialize/new/benchmark.json: -------------------------------------------------------------------------------- 1 | {"group_id":"deserialize","function_id":"deserialize ","value_str":null,"throughput":{"Bytes":24},"full_id":"deserialize/deserialize ","directory_name":"deserialize/deserialize","title":"deserialize/deserialize "} -------------------------------------------------------------------------------- /docs/criterion/deserialize/deserialize/new/estimates.json: -------------------------------------------------------------------------------- 1 | {"Mean":{"confidence_interval":{"confidence_level":0.95,"lower_bound":1479.7604032232962,"upper_bound":1495.3153991064164},"point_estimate":1486.3255948501092,"standard_error":4.037238392303347},"Median":{"confidence_interval":{"confidence_level":0.95,"lower_bound":1476.3422212587616,"upper_bound":1484.711684370258},"point_estimate":1479.4162599625422,"standard_error":1.9105163491667139},"MedianAbsDev":{"confidence_interval":{"confidence_level":0.95,"lower_bound":11.957880874751694,"upper_bound":17.910899914210297},"point_estimate":16.167118853361004,"standard_error":1.445826841133602},"Slope":{"confidence_interval":{"confidence_level":0.95,"lower_bound":1477.3402539797137,"upper_bound":1483.3686212398027},"point_estimate":1480.3089195020107,"standard_error":1.5347168944046587},"StdDev":{"confidence_interval":{"confidence_level":0.95,"lower_bound":12.343601809664074,"upper_bound":62.13207553589865},"point_estimate":40.338950230267564,"standard_error":13.541500767249326}} -------------------------------------------------------------------------------- /docs/criterion/deserialize/deserialize/new/sample.json: -------------------------------------------------------------------------------- 1 | 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-------------------------------------------------------------------------------- /docs/criterion/deserialize/deserialize/new/tukey.json: -------------------------------------------------------------------------------- 1 | [1406.4579399432594,1438.2573674561634,1523.0558408239074,1554.8552683368114] -------------------------------------------------------------------------------- /docs/criterion/gen_payloads/rng/chacha12/base/benchmark.json: -------------------------------------------------------------------------------- 1 | {"group_id":"gen_payloads","function_id":"Rng","value_str":"CHACHA12","throughput":{"Elements":1},"full_id":"gen_payloads/Rng/CHACHA12","directory_name":"gen_payloads/rng/chacha12","title":"gen_payloads/Rng/CHACHA12"} -------------------------------------------------------------------------------- /docs/criterion/gen_payloads/rng/chacha12/base/estimates.json: -------------------------------------------------------------------------------- 1 | {"Mean":{"confidence_interval":{"confidence_level":0.95,"lower_bound":159.69462034777027,"upper_bound":160.3004989585089},"point_estimate":159.99338987547944,"standard_error":0.15493993020324082},"Median":{"confidence_interval":{"confidence_level":0.95,"lower_bound":158.85899861653647,"upper_bound":160.8700706845238},"point_estimate":159.89414431014148,"standard_error":0.6440521548655685},"MedianAbsDev":{"confidence_interval":{"confidence_level":0.95,"lower_bound":1.0035793523305783,"upper_bound":2.531032323118298},"point_estimate":1.9250010598508158,"standard_error":0.38181468566089505},"Slope":{"confidence_interval":{"confidence_level":0.95,"lower_bound":159.04405101279832,"upper_bound":159.6572217756123},"point_estimate":159.32880884870204,"standard_error":0.15639583222812878},"StdDev":{"confidence_interval":{"confidence_level":0.95,"lower_bound":1.375283202431333,"upper_bound":1.7327086649802101},"point_estimate":1.559957081344827,"standard_error":0.09145962760307298}} -------------------------------------------------------------------------------- /docs/criterion/gen_payloads/rng/chacha12/base/sample.json: -------------------------------------------------------------------------------- 1 | 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-------------------------------------------------------------------------------- /docs/criterion/gen_payloads/rng/chacha12/base/tukey.json: -------------------------------------------------------------------------------- 1 | [150.81585875844593,154.70572449432726,165.0786997900108,168.96856552589213] -------------------------------------------------------------------------------- /docs/criterion/gen_payloads/rng/chacha12/new/benchmark.json: -------------------------------------------------------------------------------- 1 | {"group_id":"gen_payloads","function_id":"Rng","value_str":"CHACHA12","throughput":{"Elements":1},"full_id":"gen_payloads/Rng/CHACHA12","directory_name":"gen_payloads/rng/chacha12","title":"gen_payloads/Rng/CHACHA12"} -------------------------------------------------------------------------------- /docs/criterion/gen_payloads/rng/chacha12/new/estimates.json: -------------------------------------------------------------------------------- 1 | {"Mean":{"confidence_interval":{"confidence_level":0.95,"lower_bound":159.69462034777027,"upper_bound":160.3004989585089},"point_estimate":159.99338987547944,"standard_error":0.15493993020324082},"Median":{"confidence_interval":{"confidence_level":0.95,"lower_bound":158.85899861653647,"upper_bound":160.8700706845238},"point_estimate":159.89414431014148,"standard_error":0.6440521548655685},"MedianAbsDev":{"confidence_interval":{"confidence_level":0.95,"lower_bound":1.0035793523305783,"upper_bound":2.531032323118298},"point_estimate":1.9250010598508158,"standard_error":0.38181468566089505},"Slope":{"confidence_interval":{"confidence_level":0.95,"lower_bound":159.04405101279832,"upper_bound":159.6572217756123},"point_estimate":159.32880884870204,"standard_error":0.15639583222812878},"StdDev":{"confidence_interval":{"confidence_level":0.95,"lower_bound":1.375283202431333,"upper_bound":1.7327086649802101},"point_estimate":1.559957081344827,"standard_error":0.09145962760307298}} 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-------------------------------------------------------------------------------- /docs/criterion/gen_payloads/rng/chacha12/new/tukey.json: -------------------------------------------------------------------------------- 1 | [150.81585875844593,154.70572449432726,165.0786997900108,168.96856552589213] -------------------------------------------------------------------------------- /docs/criterion/gen_payloads/rng/chacha8/base/benchmark.json: -------------------------------------------------------------------------------- 1 | {"group_id":"gen_payloads","function_id":"Rng","value_str":"CHACHA8","throughput":{"Elements":1},"full_id":"gen_payloads/Rng/CHACHA8","directory_name":"gen_payloads/rng/chacha8","title":"gen_payloads/Rng/CHACHA8"} -------------------------------------------------------------------------------- /docs/criterion/gen_payloads/rng/chacha8/base/estimates.json: -------------------------------------------------------------------------------- 1 | {"Mean":{"confidence_interval":{"confidence_level":0.95,"lower_bound":141.94122873095807,"upper_bound":142.37800833845347},"point_estimate":142.15835618122287,"standard_error":0.11099435980915981},"Median":{"confidence_interval":{"confidence_level":0.95,"lower_bound":141.49336266517997,"upper_bound":142.3122888251675},"point_estimate":141.6994655464182,"standard_error":0.2091909841813733},"MedianAbsDev":{"confidence_interval":{"confidence_level":0.95,"lower_bound":0.7525461290292726,"upper_bound":1.7500101255006533},"point_estimate":1.1919541379659435,"standard_error":0.2601372845473621},"Slope":{"confidence_interval":{"confidence_level":0.95,"lower_bound":141.64995080283236,"upper_bound":142.17996330149862},"point_estimate":141.9149297349158,"standard_error":0.1356711069821657},"StdDev":{"confidence_interval":{"confidence_level":0.95,"lower_bound":1.0216348949543035,"upper_bound":1.1977528872880832},"point_estimate":1.1168993768948994,"standard_error":0.04476366956350042}} -------------------------------------------------------------------------------- /docs/criterion/gen_payloads/rng/chacha8/base/sample.json: -------------------------------------------------------------------------------- 1 | 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-------------------------------------------------------------------------------- /docs/criterion/gen_payloads/rng/chacha8/base/tukey.json: -------------------------------------------------------------------------------- 1 | [134.80425395304056,138.0167046696913,146.58323991409327,149.795690630744] -------------------------------------------------------------------------------- /docs/criterion/gen_payloads/rng/chacha8/new/benchmark.json: -------------------------------------------------------------------------------- 1 | {"group_id":"gen_payloads","function_id":"Rng","value_str":"CHACHA8","throughput":{"Elements":1},"full_id":"gen_payloads/Rng/CHACHA8","directory_name":"gen_payloads/rng/chacha8","title":"gen_payloads/Rng/CHACHA8"} -------------------------------------------------------------------------------- /docs/criterion/gen_payloads/rng/chacha8/new/estimates.json: -------------------------------------------------------------------------------- 1 | {"Mean":{"confidence_interval":{"confidence_level":0.95,"lower_bound":141.94122873095807,"upper_bound":142.37800833845347},"point_estimate":142.15835618122287,"standard_error":0.11099435980915981},"Median":{"confidence_interval":{"confidence_level":0.95,"lower_bound":141.49336266517997,"upper_bound":142.3122888251675},"point_estimate":141.6994655464182,"standard_error":0.2091909841813733},"MedianAbsDev":{"confidence_interval":{"confidence_level":0.95,"lower_bound":0.7525461290292726,"upper_bound":1.7500101255006533},"point_estimate":1.1919541379659435,"standard_error":0.2601372845473621},"Slope":{"confidence_interval":{"confidence_level":0.95,"lower_bound":141.64995080283236,"upper_bound":142.17996330149862},"point_estimate":141.9149297349158,"standard_error":0.1356711069821657},"StdDev":{"confidence_interval":{"confidence_level":0.95,"lower_bound":1.0216348949543035,"upper_bound":1.1977528872880832},"point_estimate":1.1168993768948994,"standard_error":0.04476366956350042}} -------------------------------------------------------------------------------- /docs/criterion/gen_payloads/rng/chacha8/new/sample.json: -------------------------------------------------------------------------------- 1 | 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-------------------------------------------------------------------------------- /docs/criterion/gen_payloads/rng/chacha8/new/tukey.json: -------------------------------------------------------------------------------- 1 | [134.80425395304056,138.0167046696913,146.58323991409327,149.795690630744] -------------------------------------------------------------------------------- /docs/criterion/gen_payloads/rng/core/base/benchmark.json: -------------------------------------------------------------------------------- 1 | {"group_id":"gen_payloads","function_id":"Rng","value_str":"CORE","throughput":{"Elements":1},"full_id":"gen_payloads/Rng/CORE","directory_name":"gen_payloads/rng/core","title":"gen_payloads/Rng/CORE"} -------------------------------------------------------------------------------- /docs/criterion/gen_payloads/rng/core/base/estimates.json: -------------------------------------------------------------------------------- 1 | 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-------------------------------------------------------------------------------- /docs/criterion/gen_payloads/rng/wyrng/base/tukey.json: -------------------------------------------------------------------------------- 1 | [140.77314481051837,146.499484808919,161.76972480465398,167.4960648030546] -------------------------------------------------------------------------------- /docs/criterion/gen_payloads/rng/wyrng/new/benchmark.json: -------------------------------------------------------------------------------- 1 | {"group_id":"gen_payloads","function_id":"Rng","value_str":"WYRNG","throughput":{"Elements":1},"full_id":"gen_payloads/Rng/WYRNG","directory_name":"gen_payloads/rng/wyrng","title":"gen_payloads/Rng/WYRNG"} -------------------------------------------------------------------------------- /docs/criterion/gen_payloads/rng/wyrng/new/estimates.json: -------------------------------------------------------------------------------- 1 | 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{"Mean":{"confidence_interval":{"confidence_level":0.95,"lower_bound":81.66810860150652,"upper_bound":82.22635323100783},"point_estimate":81.92443438191557,"standard_error":0.142341437147522},"Median":{"confidence_interval":{"confidence_level":0.95,"lower_bound":81.33330677079184,"upper_bound":82.20387844356007},"point_estimate":81.84347157123872,"standard_error":0.2553803000663171},"MedianAbsDev":{"confidence_interval":{"confidence_level":0.95,"lower_bound":0.7892703842084411,"upper_bound":1.5260147385559084},"point_estimate":1.0678789602911822,"standard_error":0.192840776655957},"Slope":{"confidence_interval":{"confidence_level":0.95,"lower_bound":81.9403772652258,"upper_bound":82.36890348495193},"point_estimate":82.14571841290373,"standard_error":0.10918828488659693},"StdDev":{"confidence_interval":{"confidence_level":0.95,"lower_bound":0.9062266393933835,"upper_bound":2.0200540105853744},"point_estimate":1.433261053773345,"standard_error":0.32303111196898276}} 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-------------------------------------------------------------------------------- /docs/criterion/sort/unstable/50000/new/tukey.json: -------------------------------------------------------------------------------- 1 | [33627.742217397405,34145.07847891469,35524.641842960795,36041.97810447808] -------------------------------------------------------------------------------- /docs/index.html: -------------------------------------------------------------------------------- 1 | 2 | Benchmark results 3 | 4 | -------------------------------------------------------------------------------- /tests/compat.rs: -------------------------------------------------------------------------------- 1 | extern crate rksuid; 2 | 3 | #[cfg(test)] 4 | mod tests { 5 | use ::rksuid::rksuid; 6 | use ::rksuid::rksuid::Ksuid; 7 | 8 | fn build_segment_ksuid() -> Ksuid { 9 | rksuid::new(Some(107608047), Some(0xB5A1CD34B5F99D1154FB6853345C9735)) 10 | } 11 | // Compat tests with ksuids generated by the segment go code 12 | #[test] 13 | fn test_serialize_compat_with_segment_ksuid() { 14 | // From github.com/segmentio/ksuid#inspect-the-components-of-a-ksuid 15 | // REPRESENTATION: 16 | // String: 0ujtsYcgvSTl8PAuAdqWYSMnLOv 17 | // Raw: 0669F7EFB5A1CD34B5F99D1154FB6853345C9735 18 | // COMPONENTS: 19 | // Time: 2017-10-09 21:00:47 -0700 PDT 20 | // Timestamp: 107608047 21 | // Payload: B5A1CD34B5F99D1154FB6853345C9735 22 | let segment_serialized = "0ujtsYcgvSTl8PAuAdqWYSMnLOv"; 23 | let ksuid_known_good = build_segment_ksuid(); 24 | let test_serialized = ksuid_known_good.serialize(); 25 | assert_eq!(segment_serialized, test_serialized); 26 | } 27 | 28 | #[test] 29 | fn test_deserialize_compat_with_segment_ksuid() { 30 | let segment_serialized = "0ujtsYcgvSTl8PAuAdqWYSMnLOv"; 31 | let ksuid = rksuid::deserialize(segment_serialized); 32 | let known_good = build_segment_ksuid(); 33 | assert_eq!(ksuid, known_good); 34 | } 35 | } 36 | -------------------------------------------------------------------------------- /tests/new.rs: -------------------------------------------------------------------------------- 1 | 2 | #[cfg(test)] 3 | mod tests{ 4 | use rksuid::rksuid::{new, RngType, Ksuid, gen_epoch, gen_payload}; 5 | use chrono::prelude::*; 6 | use rand::distributions::Standard; 7 | use rand::prelude::*; 8 | use std::{thread, time}; 9 | use strum::IntoEnumIterator; 10 | use std::any::{Any, TypeId}; 11 | 12 | // Creation tests 13 | #[test] 14 | fn test_new() { 15 | let first = new(None, None); 16 | thread::sleep(time::Duration::from_millis(2000)); 17 | let second = new(None, None); 18 | assert_ne!(first.timestamp, second.timestamp); 19 | } 20 | #[test] 21 | fn new_with_timestamp() { 22 | let ksuid = new(Some(85), None); 23 | assert_eq!(ksuid.timestamp, 85); 24 | } 25 | #[test] 26 | fn new_with_payload() { 27 | let payload: u128 = StdRng::from_entropy().sample(Standard); 28 | let ksuid = new(None, Some(payload)); 29 | assert_eq!(payload, ksuid.payload); 30 | } 31 | #[test] 32 | fn new_with_payload_and_timestamp() { 33 | let payload: u128 = StdRng::from_entropy().sample(Standard); 34 | let epoch_base = gen_epoch(); 35 | let timestamp = Utc::now().signed_duration_since(epoch_base).num_seconds() as u32; 36 | let ksuid = new(Some(timestamp), Some(payload)); 37 | assert_eq!(ksuid.payload, payload); 38 | assert_eq!(ksuid.timestamp, timestamp); 39 | } 40 | 41 | 42 | #[test] 43 | fn test_payload_variants() { 44 | for e in RngType::iter() { 45 | let payload: u128 = gen_payload(Some(e)); 46 | assert_eq!(payload.type_id(), TypeId::of::()); 47 | } 48 | } 49 | } 50 | -------------------------------------------------------------------------------- /tests/props.rs: -------------------------------------------------------------------------------- 1 | extern crate rksuid; 2 | 3 | #[cfg(test)] 4 | mod tests { 5 | use ::rksuid::rksuid; 6 | use chrono::prelude::*; 7 | 8 | // Test get_time 9 | #[test] 10 | fn test_get_time() { 11 | // Friday, July 14, 2017 2:40:00 AM 12 | let timestamp: DateTime = Utc.timestamp(1500000000, 0); 13 | let epoch_offset = timestamp 14 | .signed_duration_since(rksuid::gen_epoch()) 15 | .num_seconds(); 16 | // Sanity check the expected timestamp for the ksuid 17 | assert_eq!(100000000, epoch_offset); 18 | let ksuid = rksuid::new(Some(epoch_offset as u32), None); 19 | let ksuid_time = ksuid.get_time(); 20 | assert_eq!(timestamp, ksuid_time); 21 | } 22 | } 23 | -------------------------------------------------------------------------------- /tests/serialize.rs: -------------------------------------------------------------------------------- 1 | extern crate rksuid; 2 | 3 | #[cfg(test)] 4 | mod tests { 5 | use ::rksuid::rksuid; 6 | 7 | // SerDe tests 8 | #[test] 9 | fn test_serialize_with_random_data_returns_right_length() { 10 | let ksuid = rksuid::new(None, None); 11 | let serialized = ksuid.serialize(); 12 | assert_eq!(serialized.char_indices().count(), 27); 13 | } 14 | #[test] 15 | fn test_serialize_deserialize() { 16 | let ksuid = rksuid::new(None, None); 17 | let serialized = ksuid.serialize(); 18 | let ksuid2 = rksuid::deserialize(&serialized); 19 | assert_eq!(ksuid, ksuid2); 20 | } 21 | #[test] 22 | fn test_get_formatted_lines() { 23 | let ksuid = rksuid::deserialize("0ujtsYcgvSTl8PAuAdqWYSMnLOv"); 24 | let formatted = ksuid.get_formatted_lines(); 25 | assert!(!formatted.is_empty()); 26 | let timestamp_line = "\tTimestamp: 107608047"; 27 | assert_eq!(formatted[5], timestamp_line); 28 | let raw_line = "\tRaw: 669F7EFB5A1CD34B5F99D1154FB6853"; 29 | assert_eq!(formatted[2], raw_line); 30 | } 31 | } 32 | -------------------------------------------------------------------------------- /tests/sorting.rs: -------------------------------------------------------------------------------- 1 | extern crate rksuid; 2 | 3 | #[cfg(test)] 4 | mod tests { 5 | use ::rksuid::rksuid; 6 | use ::rksuid::rksuid::Ksuid; 7 | 8 | // Sorting tests 9 | #[test] 10 | fn gt_lt() { 11 | let first = rksuid::new(Some(100), None); 12 | let second = rksuid::new(Some(500), None); 13 | let third = rksuid::new(Some(12321312), None); 14 | assert!(first < second); 15 | assert!(second < third); 16 | assert!(first < third); 17 | } 18 | #[test] 19 | fn sort_by_timestamp() { 20 | let first = rksuid::new(Some(100), None); 21 | let second = rksuid::new(Some(500), None); 22 | let third = rksuid::new(Some(12321312), None); 23 | let mut ksuid_vec: Vec = vec![second, third, first]; 24 | ksuid_vec.sort(); 25 | assert_eq!(ksuid_vec[0], first); 26 | assert_eq!(ksuid_vec[2], third); 27 | } 28 | } 29 | --------------------------------------------------------------------------------