flagon-io/automation-lab

public

Scratch repository for testing automations.

Add tests for statistics functions in test.js #21

Mergedsyntaqx merged into mainrequested by syntaqx

Approved by g1t

1	1		# automation lab
2		−
3		−	## Functions
4		−
5		−	All functions are exported from `math.js`.
6		−
7		−	```js
8		−	const { add, multiply, power, mean, median, standard_deviation } = require("./math");
9		−	```
10		−
11		−	- `add(a, b)`: returns the sum of `a` and `b`.
12		−	```js
13		−	add(2, 3); // 5
14		−	```
15		−	- `multiply(a, b)`: returns the product of `a` and `b`.
16		−	```js
17		−	multiply(4, 5); // 20
18		−	```
19		−	- `power(base, exponent)`: returns `base` raised to a whole-number `exponent`; throws a `RangeError` if `exponent` is negative.
20		−	```js
21		−	power(2, 3); // 8
22		−	```
23		−	- `mean(numbers)`: returns the average of an array of numbers; throws a `TypeError` if the array is empty.
24		−	```js
25		−	mean([1, 2, 3, 4]); // 2.5
26		−	```
27		−	- `median(numbers)`: returns the middle value (the average of the two middle values when the length is even); throws a `TypeError` if the array is empty.
28		−	```js
29		−	median([3, 1, 2]); // 2
30		−	median([1, 2, 3, 4]); // 2.5
31		−	```
32		−	- `standard_deviation(numbers)`: returns the population standard deviation; throws a `TypeError` if the array is empty.
33		−	```js
34		−	standard_deviation([2, 4, 4, 4, 5, 5, 7, 9]); // 2
35		−	```

6	6		assert.strictEqual(math.power(2, 10), 1024);
7	7		assert.strictEqual(math.power(5, 0), 1);
8	8		assert.throws(() => math.power(2, -1), RangeError);
	9	+	assert.strictEqual(math.mean([1, 2, 3]), 2);
9	10		assert.strictEqual(math.mean([1, 2, 3, 4]), 2.5);
	11	+	assert.strictEqual(math.median([1, 2, 3]), 2);
10	12		assert.strictEqual(math.median([3, 1, 2]), 2);
11	13		assert.strictEqual(math.median([4, 1, 3, 2]), 2.5);
	14	+	assert.strictEqual(math.standard_deviation([1, 2, 3]), Math.sqrt(2 / 3));
12	15		assert.strictEqual(math.standard_deviation([2, 4, 4, 4, 5, 5, 7, 9]), 2);
13	16		for (const fn of [math.mean, math.median, math.standard_deviation]) {
14	17		assert.throws(() => fn([]), TypeError);