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Description for today’s challenge is here.
First, let’s capture what an ingredient is in our model:
Notice that we’ve also added the + and * operators to make combining different ingredients and multiplying by quantity easier when we mix them together to make and score a cake:
The input for this challenge looks like the following:
Sprinkles: capacity 2, durability 0, flavor -2, texture 0, calories 3
Butterscotch: capacity 0, durability 5, flavor -3, texture 0, calories 3
Chocolate: capacity 0, durability 0, flavor 5, texture -1, calories 8
Candy: capacity 0, durability -1, flavor 0, texture 5, calories 8
so let’s parse them into our model:
here I have reused the same Regex active pattern as Day 7 to parse each line.
Next, from the list of ingredients, we need to work out all combinations of them that add to a total of 100 ingredients being used:
From the above code, accN means the total number of ingredients accumulated so far – it saves me from having to calculate it each time. For each kind of ingredients, we may include 0 to 100 of it – 0 = don’t use this ingredient in the cake; 100 = make the cake out of only this ingredient. In hindsight, based on the data, you can’t make a cake with a non-zero score if you have 100 of any ingredient as each ingredient has a negative value for one of its attributes.
Finally, for each combination, make and score the cake and find the highest score:
Not much needs to change here, except we need to filter out cakes whose calories count is not 500:
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Check out my new course, Learn you some Lambda best practice for great good! In this course, you will learn best practices for working with AWS Lambda in terms of performance, cost, security, scalability, resilience and observability. We will also cover latest features from re:Invent 2019 such as Provisioned Concurrency and Lambda Destinations. Enrol now and start learning!
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Here is a complete list of all my posts on serverless and AWS Lambda. In the meantime, here are a few of my most popular blog posts.
- Lambda optimization tip – enable HTTP keep-alive
- You are wrong about serverless and vendor lock-in
- You are thinking about serverless costs all wrong
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- We can do better than percentile latencies
- Yubl’s road to Serverless
- AWS Lambda – should you have few monolithic functions or many single-purposed functions?
- AWS Lambda – compare coldstart time with different languages, memory and code sizes
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