Hello! Are you ready for an exciting journey into the world of strings and frequency analysis? Today, we’ll assist Alice, an aspiring cryptographer, with a fascinating task involving string transformations and calculations. Alice has developed a unique encoding scheme that shifts letters in the alphabet and analyzes their occurrences.
This should be a fun and insightful challenge that hones your problem-solving and coding skills. Let’s dive in!
Alice's encoding scheme involves two steps. First, she takes a word and shifts each character to the next one alphabetically. For example:
'a'becomes'b''z'becomes'a'
Next, Alice analyzes the frequency of each character in the transformed string. For each unique character, she calculates a product of its ASCII value and its frequency. Finally, she sorts these products in descending order.
Your task is to implement a Ruby method, character_frequency_encoding(word), that performs Alice’s encoding and returns the sorted list of products.
For example:
The method should return:
Here’s how the process works:
- Transform
"banana"into"cbobob". - Calculate the products:
'c': ASCII value99, frequency1, product99 × 1 = 99.'b': ASCII value98, frequency3, product98 × 3 = 294.'o': ASCII value111, frequency2, product111 × 2 = 222.
- Sort the products in descending order:
[294, 222, 99].
To implement Alice’s encoding scheme, we start by shifting each character to the next in the alphabet. Using Ruby’s each_char method, we iterate over the string and transform each character.
At this stage, shifted_chars for "banana" will be ["c", "b", "o", "b", "o", "b"]. This array represents the transformed characters.
Next, we calculate the frequency of each character in the transformed array. By initializing a hash with a default value of 0, we can easily count occurrences as we iterate through the array of shifted characters.
The frequency_hash now holds the counts of each character. For "banana", it will be:
