Day 01
Monoalphabetic UI
Worked on the component for ciphertext and plaintext. Nothing fancy, just two states that I have to manage. The plaintext state is going to be changed by the user’s actions. I’m going to have to put the changes that the user is going to apply in a stack of sorts, so even if the ciphertext is changed, I can just reapply the changes on the stack (for example, adding more text in the ciphertext field).
Also planned out a rough outline of how the UI for the monoalphabetic cipher is going to look like. Very professional if I say so myself (/s).
Day 00
Frontend is a necessary evil. I learned that the hard way, after participating in hackathons and looking at real world projects. I need to brush up my frontend scripts even if I am trying to head into cybersecurity.
What I needed was a project that nicely balances out frontend development, cybersecurity and logic. For the longest time I have sat on prototypes of this idea, but now I think I’m in a good position to actually start it.
This isn’t one of my usual blogs, rather a devlog of sorts to keep me in check. I’ll keep coming back and editing it as I see fit, but a friend of mine told me to focus on what’s keeping me interested instead of focusing on goals. That’s a nice way to live in my opinion. I’ll worry about placements when I get to them.
I’ll start with what I implemented today.
Counter
Very recently, I came across the collections.Counter object in Python. It’s a nifty little piece of code that reduces the number of times I have to use loops for something like getting a frequency count on an iterable. My goal today was to replicate a subset of its functionality and implement two basic getter functions I know for sure that I’m going to need.
getMap()Returns a map with frequency by occurrence of each element in the iterable.getPercentMap()Returns a map with frequency by percentage of each element in the iterable.
Internally, I wanted the Map() object to be restricted to strings and numbers (just in case). For this I learned that one must use getters and setters over normal indexing. Also I learned about the nullish coalescing operator which is used when you want to default to a value if you encounter null or undefined.
Below is a loop to iterate over an iterable and count its frequency.
for (let i of this.iterable) {
this.map.set(i, (this.map.get(i) ?? 0) + 1);
}Another trick that I used to calculate frequency was the usage of Array.prototype.reduce(). This method makes calculating the running sum easier. The spread operator (…) allows one to unpack an iterable inside of another iterable (in this case, an array) and then calling the reduce function on it spares us a loop. Also note that without the curly braces, the arrow operator will auto-return the values computed inside (basically acting as a lambda function).
let total = [...this.map.values()].reduce((sum, number) => (sum + number), 0);