Pseudorandom Numbers, Seeds, and Reproducibility

Install and import#

bash

npm install fintech-algorithms

import { pseudorandomNumbersSeedsAndReproducibility } from "fintech-algorithms/financial-mathematics-statistics-and-data-foundations/statistical-computing-and-reproducibility/pseudorandom-numbers-seeds-and-reproducibility";

Signature#

pseudorandomNumbersSeedsAndReproducibility(input)

Worked example#

verified This is the worked example published in the article, replayed by the test suite on every run. The output cannot drift.

Input#

input

{
  "values": [1, 2, 3, 4, 5],
  "floatingValue": 0.1,
  "maxSafeMagnitude": 1.7976931348623157e+308,
  "window": 3,
  "rawValues": [1, null, 2, "bad", 3],
  "invalidPolicy": "drop-and-report",
  "seed": 42,
  "sampleCount": 5,
  "leftVector": [
    {
      "index": "A",
      "value": 1
    },
    {
      "index": "B",
      "value": 2
    }
  ],
  "rightVector": [
    {
      "index": "B",
      "value": 20
    },
    {
      "index": "C",
      "value": 30
    }
  ],
  "train": [10, 12, 14, 16],
  "test": [18, 20],
  "actual": [1, 2.0000001, 3],
  "expected": [1, 2, 3]
}

Showing 14 of 18 fields.

Call#

pseudorandomNumbersSeedsAndReproducibility(input)

Returns#

object with 2 fields: samples, seed

{
  "samples": [
    0.2523451747838408,
    0.08812504541128874,
    0.5772811982315034,
    0.22255426598712802,
    0.37566019711084664
  ],
  "seed": 42
}