Travis build: 870
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29
README.md
29
README.md
@ -314,6 +314,7 @@ _30s.average(1, 2, 3);
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* [`luhnCheck`](#luhncheck-)
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* [`maxBy`](#maxby)
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* [`median`](#median)
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* [`midpoint`](#midpoint)
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* [`minBy`](#minby)
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* [`percentile`](#percentile)
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* [`powerset`](#powerset)
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@ -1254,14 +1255,14 @@ Filters out the falsy values in an array.
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Use `Array.prototype.filter()` to get an array containing only truthy values.
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```js
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const filterFalsy = arr => arr.filter(Boolean);
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const filterFalsy = arr => arr.filter(Boolean);
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```
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<details>
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<summary>Examples</summary>
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```js
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filterFalsy(['', true, {}, false, 'sample', 1, 0]); // [true, {}, 'sample', 1]
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filterFalsy(['', true, {}, false, 'sample', 1, 0]); // [true, {}, 'sample', 1]
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```
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</details>
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@ -5839,6 +5840,30 @@ const median = arr => {
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median([5, 6, 50, 1, -5]); // 5
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```
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</details>
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<br>[⬆ Back to top](#contents)
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### midpoint
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Calculates the midpoint between two pairs of (x,y) points.
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Destructure the array to get `x1`, `y1`, `x2` and `y2`, calculate the midpoint for each dimension by dividing the sum of the two endpoints by `2`.
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```js
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const midpoint = ([x1, y1], [x2, y2]) => [(x1 + x2) / 2, (y1 + y2) / 2];
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```
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<details>
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<summary>Examples</summary>
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```js
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midpoint([2, 2], [4, 4]); // [3, 3]
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midpoint([4, 4], [6, 6]); // [5, 5]
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midpoint([1, 3], [2, 4]); // [1.5, 3.5]
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```
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</details>
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<br>[⬆ Back to top](#contents)
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