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* sync docs * sync metadata * sync tests bob * sync tests pig-latin * exercises/practice/anagram: add an append with instructions about the order of the return values (#370) * sync docs and metadata again * update tests.toml for flatten-array --------- Co-authored-by: Isaac Good <[email protected]>
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# Instructions | ||
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Your task is to, given a target word and a set of candidate words, to find the subset of the candidates that are anagrams of the target. | ||
Given a target word and one or more candidate words, your task is to find the candidates that are anagrams of the target. | ||
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An anagram is a rearrangement of letters to form a new word: for example `"owns"` is an anagram of `"snow"`. | ||
A word is _not_ its own anagram: for example, `"stop"` is not an anagram of `"stop"`. | ||
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The target and candidates are words of one or more ASCII alphabetic characters (`A`-`Z` and `a`-`z`). | ||
Lowercase and uppercase characters are equivalent: for example, `"PoTS"` is an anagram of `"sTOp"`, but `StoP` is not an anagram of `sTOp`. | ||
The anagram set is the subset of the candidate set that are anagrams of the target (in any order). | ||
Words in the anagram set should have the same letter case as in the candidate set. | ||
The target word and candidate words are made up of one or more ASCII alphabetic characters (`A`-`Z` and `a`-`z`). | ||
Lowercase and uppercase characters are equivalent: for example, `"PoTS"` is an anagram of `"sTOp"`, but `"StoP"` is not an anagram of `"sTOp"`. | ||
The words you need to find should be taken from the candidate words, using the same letter case. | ||
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Given the target `"stone"` and candidates `"stone"`, `"tones"`, `"banana"`, `"tons"`, `"notes"`, `"Seton"`, the anagram set is `"tones"`, `"notes"`, `"Seton"`. | ||
Given the target `"stone"` and the candidate words `"stone"`, `"tones"`, `"banana"`, `"tons"`, `"notes"`, and `"Seton"`, the anagram words you need to find are `"tones"`, `"notes"`, and `"Seton"`. |
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# Instructions | ||
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Correctly determine the fewest number of coins to be given to a customer such that the sum of the coins' value would equal the correct amount of change. | ||
Determine the fewest number of coins to give a customer so that the sum of their values equals the correct amount of change. | ||
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## For example | ||
## Examples | ||
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- An input of 15 with [1, 5, 10, 25, 100] should return one nickel (5) and one dime (10) or [5, 10] | ||
- An input of 40 with [1, 5, 10, 25, 100] should return one nickel (5) and one dime (10) and one quarter (25) or [5, 10, 25] | ||
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## Edge cases | ||
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- Does your algorithm work for any given set of coins? | ||
- Can you ask for negative change? | ||
- Can you ask for a change value smaller than the smallest coin value? | ||
- An amount of 15 with available coin values [1, 5, 10, 25, 100] should return one coin of value 5 and one coin of value 10, or [5, 10]. | ||
- An amount of 40 with available coin values [1, 5, 10, 25, 100] should return one coin of value 5, one coin of value 10, and one coin of value 25, or [5, 10, 25]. |
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# Introduction | ||
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In the mystical village of Coinholt, you stand behind the counter of your bakery, arranging a fresh batch of pastries. | ||
The door creaks open, and in walks Denara, a skilled merchant with a keen eye for quality goods. | ||
After a quick meal, she slides a shimmering coin across the counter, representing a value of 100 units. | ||
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You smile, taking the coin, and glance at the total cost of the meal: 88 units. | ||
That means you need to return 12 units in change. | ||
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Denara holds out her hand expectantly. | ||
"Just give me the fewest coins," she says with a smile. | ||
"My pouch is already full, and I don't want to risk losing them on the road." | ||
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You know you have a few options. | ||
"We have Lumis (worth 10 units), Viras (worth 5 units), and Zenth (worth 2 units) available for change." | ||
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You quickly calculate the possibilities in your head: | ||
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- one Lumis (1 × 10 units) + one Zenth (1 × 2 units) = 2 coins total | ||
- two Viras (2 × 5 units) + one Zenth (1 × 2 units) = 3 coins total | ||
- six Zenth (6 × 2 units) = 6 coins total | ||
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"The best choice is two coins: one Lumis and one Zenth," you say, handing her the change. | ||
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Denara smiles, clearly impressed. | ||
"As always, you've got it right." |
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# Instructions | ||
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The Collatz Conjecture or 3x+1 problem can be summarized as follows: | ||
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Take any positive integer n. | ||
If n is even, divide n by 2 to get n / 2. | ||
If n is odd, multiply n by 3 and add 1 to get 3n + 1. | ||
Repeat the process indefinitely. | ||
The conjecture states that no matter which number you start with, you will always reach 1 eventually. | ||
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Given a number n, return the number of steps required to reach 1. | ||
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## Examples | ||
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Starting with n = 12, the steps would be as follows: | ||
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0. 12 | ||
1. 6 | ||
2. 3 | ||
3. 10 | ||
4. 5 | ||
5. 16 | ||
6. 8 | ||
7. 4 | ||
8. 2 | ||
9. 1 | ||
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Resulting in 9 steps. | ||
So for input n = 12, the return value would be 9. | ||
Given a positive integer, return the number of steps it takes to reach 1 according to the rules of the Collatz Conjecture. |
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# Introduction | ||
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One evening, you stumbled upon an old notebook filled with cryptic scribbles, as though someone had been obsessively chasing an idea. | ||
On one page, a single question stood out: **Can every number find its way to 1?** | ||
It was tied to something called the **Collatz Conjecture**, a puzzle that has baffled thinkers for decades. | ||
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The rules were deceptively simple. | ||
Pick any positive integer. | ||
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- If it's even, divide it by 2. | ||
- If it's odd, multiply it by 3 and add 1. | ||
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Then, repeat these steps with the result, continuing indefinitely. | ||
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Curious, you picked number 12 to test and began the journey: | ||
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12 ➜ 6 ➜ 3 ➜ 10 ➜ 5 ➜ 16 ➜ 8 ➜ 4 ➜ 2 ➜ 1 | ||
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Counting from the second number (6), it took 9 steps to reach 1, and each time the rules repeated, the number kept changing. | ||
At first, the sequence seemed unpredictable — jumping up, down, and all over. | ||
Yet, the conjecture claims that no matter the starting number, we'll always end at 1. | ||
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It was fascinating, but also puzzling. | ||
Why does this always seem to work? | ||
Could there be a number where the process breaks down, looping forever or escaping into infinity? | ||
The notebook suggested solving this could reveal something profound — and with it, fame, [fortune][collatz-prize], and a place in history awaits whoever could unlock its secrets. | ||
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[collatz-prize]: https://mathprize.net/posts/collatz-conjecture/ |
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# Introduction | ||
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In Toyland, the trains are always busy delivering treasures across the city, from shiny marbles to rare building blocks. | ||
The tracks they run on are made of colorful domino-shaped pieces, each marked with two numbers. | ||
For the trains to move, the dominoes must form a perfect chain where the numbers match. | ||
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Today, an urgent delivery of rare toys is on hold. | ||
You've been handed a set of track pieces to inspect. | ||
If they can form a continuous chain, the train will be on its way, bringing smiles across Toyland. | ||
If not, the set will be discarded, and another will be tried. | ||
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The toys are counting on you to solve this puzzle. | ||
Will the dominoes connect the tracks and send the train rolling, or will the set be left behind? |
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# Instructions | ||
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Take a nested list and return a single flattened list with all values except nil/null. | ||
Take a nested array of any depth and return a fully flattened array. | ||
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The challenge is to take an arbitrarily-deep nested list-like structure and produce a flattened structure without any nil/null values. | ||
Note that some language tracks may include null-like values in the input array, and the way these values are represented varies by track. | ||
Such values should be excluded from the flattened array. | ||
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For example: | ||
Additionally, the input may be of a different data type and contain different types, depending on the track. | ||
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input: [1,[2,3,null,4],[null],5] | ||
Check the test suite for details. | ||
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output: [1,2,3,4,5] | ||
## Example | ||
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input: `[1, [2, 6, null], [[null, [4]], 5]]` | ||
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output: `[1, 2, 6, 4, 5]` |
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# Introduction | ||
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A shipment of emergency supplies has arrived, but there's a problem. | ||
To protect from damage, the items — flashlights, first-aid kits, blankets — are packed inside boxes, and some of those boxes are nested several layers deep inside other boxes! | ||
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To be prepared for an emergency, everything must be easily accessible in one box. | ||
Can you unpack all the supplies and place them into a single box, so they're ready when needed most? |
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# Instructions | ||
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Calculate the number of grains of wheat on a chessboard given that the number on each square doubles. | ||
Calculate the number of grains of wheat on a chessboard. | ||
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There once was a wise servant who saved the life of a prince. | ||
The king promised to pay whatever the servant could dream up. | ||
Knowing that the king loved chess, the servant told the king he would like to have grains of wheat. | ||
One grain on the first square of a chess board, with the number of grains doubling on each successive square. | ||
A chessboard has 64 squares. | ||
Square 1 has one grain, square 2 has two grains, square 3 has four grains, and so on, doubling each time. | ||
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There are 64 squares on a chessboard (where square 1 has one grain, square 2 has two grains, and so on). | ||
Write code that calculates: | ||
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Write code that shows: | ||
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- how many grains were on a given square, and | ||
- the number of grains on a given square | ||
- the total number of grains on the chessboard |
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# Introduction | ||
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There once was a wise servant who saved the life of a prince. | ||
The king promised to pay whatever the servant could dream up. | ||
Knowing that the king loved chess, the servant told the king he would like to have grains of wheat. | ||
One grain on the first square of a chessboard, with the number of grains doubling on each successive square. |
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# Introduction | ||
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At the Global Verification Authority, you've just been entrusted with a critical assignment. | ||
Across the city, from online purchases to secure logins, countless operations rely on the accuracy of numerical identifiers like credit card numbers, bank account numbers, transaction codes, and tracking IDs. | ||
The Luhn algorithm is a simple checksum formula used to ensure these numbers are valid and error-free. | ||
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A batch of identifiers has just arrived on your desk. | ||
All of them must pass the Luhn test to ensure they're legitimate. | ||
If any fail, they'll be flagged as invalid, preventing errors or fraud, such as incorrect transactions or unauthorized access. | ||
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Can you ensure this is done right? The integrity of many services depends on you. |
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# Introduction | ||
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You've joined LinkLine, a leading communications company working to ensure reliable connections for everyone. | ||
The team faces a big challenge: users submit phone numbers in all sorts of formats — dashes, spaces, dots, parentheses, and even prefixes. | ||
Some numbers are valid, while others are impossible to use. | ||
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Your mission is to turn this chaos into order. | ||
You'll clean up valid numbers, formatting them appropriately for use in the system. | ||
At the same time, you'll identify and filter out any invalid entries. | ||
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The success of LinkLine's operations depends on your ability to separate the useful from the unusable. | ||
Are you ready to take on the challenge and keep the connections running smoothly? |
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