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fix(curriculum): no optional parenthesis for multi-parameter function (#53468)

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Krzysztof G 2024-02-01 13:55:44 +01:00 committed by GitHub
parent 51a5d6ef56
commit 78fd39a038
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4 changed files with 12 additions and 12 deletions
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4
curriculum/challenges/english/15-javascript-algorithms-and-data-structures-22/learn-advanced-array-methods-by-building-a-statistics-calculator/6352fcb156834128001ea945.md
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@ -28,13 +28,13 @@ assert.match(getVariance.toString(), /sumSquaredDifferences\s*=\s*squaredDiffere
Your `sumSquaredDifferences` variable should use the `acc` and `el` parameters in the callback function.
```js
assert.match(getVariance.toString(), /sumSquaredDifferences\s*=\s*squaredDifferences\.reduce\(function\s*\(?\s*acc\s*,\s*el\s*\)?/);
assert.match(getVariance.toString(), /sumSquaredDifferences\s*=\s*squaredDifferences\.reduce\(function\s*\(\s*acc\s*,\s*el\s*\)/);
```
Your `reduce` callback should return the sum of `acc` and `el`.
```js
assert.match(getVariance.toString(), /sumSquaredDifferences\s*=\s*squaredDifferences\.reduce\(function\s*\(?\s*acc\s*,\s*el\s*\)?\s*\{\s*return\s*acc\s*\+\s*el\s*\;\s*\},\s*0\s*\)/);
assert.match(getVariance.toString(), /sumSquaredDifferences\s*=\s*squaredDifferences\.reduce\(function\s*\(\s*acc\s*,\s*el\s*\)\s*\{\s*return\s*acc\s*\+\s*el\s*\;\s*\},\s*0\s*\)/);
```
# --seed--

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curriculum/challenges/english/15-javascript-algorithms-and-data-structures-22/learn-advanced-array-methods-by-building-a-statistics-calculator/6352fce75b2d3b2924930f1e.md
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@ -46,19 +46,19 @@ assert.match(getVariance.toString(), /variance\s*=\s*array\.reduce\(/);
Your `variance` variable should use the `acc` and `el` parameters in the callback function.
```js
assert.match(getVariance.toString(), /variance\s*=\s*array\.reduce\(function\s*\(?\s*acc\s*,\s*el\s*\)?/);
assert.match(getVariance.toString(), /variance\s*=\s*array\.reduce\(function\s*\(\s*acc\s*,\s*el\s*\)/);
```
Your `reduce` callback should be an empty function.
```js
assert.match(getVariance.toString(), /variance\s*=\s*array\.reduce\(function\s*\(?\s*acc\s*,\s*el\s*\)?\s*\{\s*\}/);
assert.match(getVariance.toString(), /variance\s*=\s*array\.reduce\(function\s*\(\s*acc\s*,\s*el\s*\)\s*\{\s*\}/);
```
Your `reduce` callback should have an initial value of `0`.
```js
assert.match(getVariance.toString(), /variance\s*=\s*array\.reduce\(function\s*\(?\s*acc\s*,\s*el\s*\)?\s*\{\s*\}\s*,\s*0\s*\)/);
assert.match(getVariance.toString(), /variance\s*=\s*array\.reduce\(function\s*\(\s*acc\s*,\s*el\s*\)\s*\{\s*\}\s*,\s*0\s*\)/);
```
# --seed--

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curriculum/challenges/english/15-javascript-algorithms-and-data-structures-22/learn-advanced-array-methods-by-building-a-statistics-calculator/6352fe473d53592a40ae403b.md
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@ -14,37 +14,37 @@ Within your empty `.reduce()` callback, declare a variable `difference` and set
Your `reduce` callback should have a `difference` variable.
```js
assert.match(getVariance.toString(), /variance\s*=\s*array\.reduce\(function\s*\(?\s*acc\s*,\s*el\s*\)?\s*\{\s*var\s+difference\s*=/);
assert.match(getVariance.toString(), /variance\s*=\s*array\.reduce\(function\s*\(\s*acc\s*,\s*el\s*\)\s*\{\s*var\s+difference\s*=/);
```
Your `difference` variable should be set to the value of `el` minus `mean`.
```js
assert.match(getVariance.toString(), /variance\s*=\s*array\.reduce\(function\s*\(?\s*acc\s*,\s*el\s*\)?\s*\{\s*var\s+difference\s*=\s*el\s*-\s*mean\s*;/);
assert.match(getVariance.toString(), /variance\s*=\s*array\.reduce\(function\s*\(\s*acc\s*,\s*el\s*\)\s*\{\s*var\s+difference\s*=\s*el\s*-\s*mean\s*;/);
```
Your `reduce` callback should have a `squared` variable.
```js
assert.match(getVariance.toString(), /variance\s*=\s*array\.reduce\(function\s*\(?\s*acc\s*,\s*el\s*\)?\s*\{\s*var\s+difference\s*=\s*el\s*-\s*mean\s*;\s*var\s+squared\s*=/);
assert.match(getVariance.toString(), /variance\s*=\s*array\.reduce\(function\s*\(\s*acc\s*,\s*el\s*\)\s*\{\s*var\s+difference\s*=\s*el\s*-\s*mean\s*;\s*var\s+squared\s*=/);
```
Your `squared` variable should be set to the value of `difference` to the power of 2.
```js
assert.match(getVariance.toString(), /variance\s*=\s*array\.reduce\(function\s*\(?\s*acc\s*,\s*el\s*\)?\s*\{\s*var\s+difference\s*=\s*el\s*-\s*mean\s*;\s*var\s+squared\s*=\s*Math\.pow\(\s*difference\s*,\s*2\s*\);/);
assert.match(getVariance.toString(), /variance\s*=\s*array\.reduce\(function\s*\(\s*acc\s*,\s*el\s*\)\s*\{\s*var\s+difference\s*=\s*el\s*-\s*mean\s*;\s*var\s+squared\s*=\s*Math\.pow\(\s*difference\s*,\s*2\s*\);/);
```
Your `reduce` callback should return the value of `acc` plus `squared`.
```js
assert.match(getVariance.toString(), /variance\s*=\s*array\.reduce\(function\s*\(?\s*acc\s*,\s*el\s*\)?\s*\{\s*var\s+difference\s*=\s*el\s*-\s*mean\s*;\s*var\s+squared\s*=\s*Math\.pow\(\s*difference\s*,\s*2\s*\);\s*return\s+acc\s*\+\s*squared\s*;/);
assert.match(getVariance.toString(), /variance\s*=\s*array\.reduce\(function\s*\(\s*acc\s*,\s*el\s*\)\s*\{\s*var\s+difference\s*=\s*el\s*-\s*mean\s*;\s*var\s+squared\s*=\s*Math\.pow\(\s*difference\s*,\s*2\s*\);\s*return\s+acc\s*\+\s*squared\s*;/);
```
You should not remove the initial value of `0` from your `.reduce()` method.
```js
assert.match(getVariance.toString(), /variance\s*=\s*array\.reduce\(function\s*\(?\s*acc\s*,\s*el\s*\)?\s*\{\s*var\s+difference\s*=\s*el\s*-\s*mean\s*;\s*var\s+squared\s*=\s*Math\.pow\(\s*difference\s*,\s*2\s*\);\s*return\s+acc\s*\+\s*squared\s*;\s*\}\s*,\s*0\)/);
assert.match(getVariance.toString(), /variance\s*=\s*array\.reduce\(function\s*\(\s*acc\s*,\s*el\s*\)\s*\{\s*var\s+difference\s*=\s*el\s*-\s*mean\s*;\s*var\s+squared\s*=\s*Math\.pow\(\s*difference\s*,\s*2\s*\);\s*return\s+acc\s*\+\s*squared\s*;\s*\}\s*,\s*0\)/);
```
# --seed--

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curriculum/challenges/english/15-javascript-algorithms-and-data-structures-22/learn-advanced-array-methods-by-building-a-statistics-calculator/6352fed209792d2b89e92ea1.md
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@ -16,7 +16,7 @@ Divide your `.reduce()` call by the length of the array (in your `variance` decl
You should divide the result of the `.reduce()` call by the length of the array.
```js
assert.match(getVariance.toString(), /variance\s*=\s*array\.reduce\(function\s*\(?\s*acc\s*,\s*el\s*\)?\s*\{\s*var\s+difference\s*=\s*el\s*-\s*mean\s*;\s*var\s+squared\s*=\s*Math\.pow\(\s*difference\s*,\s*2\s*\);\s*return\s+acc\s*\+\s*squared\s*;\s*\}\s*,\s*0\)\s*\/\s*array\.length;/);
assert.match(getVariance.toString(), /variance\s*=\s*array\.reduce\(function\s*\(\s*acc\s*,\s*el\s*\)\s*\{\s*var\s+difference\s*=\s*el\s*-\s*mean\s*;\s*var\s+squared\s*=\s*Math\.pow\(\s*difference\s*,\s*2\s*\);\s*return\s+acc\s*\+\s*squared\s*;\s*\}\s*,\s*0\)\s*\/\s*array\.length;/);
```
You should return the value of `variance`.