@jrc03c/js-math-tools
Version:
some math tools for JS
58 lines (48 loc) • 1.33 kB
JavaScript
import { DataFrame, Series } from "./dataframe/index.mjs"
import { expect, test } from "@jrc03c/fake-jest"
import { flatten } from "./flatten.mjs"
import { forEach } from "./for-each.mjs"
import { mean } from "./mean.mjs"
import { normal } from "./normal.mjs"
test("tests that the mean of arrays, series, and dataframes can be computed correctly", () => {
expect(mean([2, 3, 4])).toBe(3)
expect(mean([2, 3, 4, 5])).toBe(3.5)
expect(mean([2, [3, [4, [5]]]])).toBe(3.5)
const a = normal([2, 3, 4, 5])
expect(mean(a)).toBe(mean(flatten(a)))
const b = new Series({ hello: normal(100) })
expect(mean(b)).toBe(mean(b.values))
const c = new DataFrame({ foo: normal(100), bar: normal(100) })
expect(mean(c)).toBe(mean(flatten(c)))
const d = [2n, 3n, 3n, 3n, 4n, 17n]
const e = [2, 3, 3, 3, 4, 17]
expect(mean(d)).toBe(mean(e))
expect(mean([2n, 3n, 4n])).toBe(3n)
const f = normal(100)
f[0] = "uh-oh!"
expect(mean(f)).toBeNaN()
expect(mean(f, true)).not.toBeNaN()
const wrongs = [
0,
1,
2.3,
-2.3,
Infinity,
-Infinity,
NaN,
"foo",
true,
false,
null,
undefined,
Symbol.for("Hello, world!"),
x => x,
function (x) {
return x
},
{ hello: "world" },
]
forEach(wrongs, item => {
expect(() => mean(item)).toThrow()
})
})