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:
Ruby1word = "banana"
The method should return:
Ruby1[294, 222, 99]
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.
Ruby1def character_frequency_encoding(word) 2 # Shift each character to the next in the alphabet 3 shifted_chars = word.each_char.map do |letter| 4 if letter == 'z' 5 'a' # Wrap around for 'z' 6 else 7 (letter.ord + 1).chr # Shift to the next character 8 end 9 end
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.
Ruby1 # Initialize a frequency hash 2 frequency_hash = Hash.new(0) 3 4 # Count the frequency of each character 5 shifted_chars.each do |letter| 6 frequency_hash[letter] += 1 7 end
The frequency_hash
now holds the counts of each character. For "banana"
, it will be:
Ruby1{"c" => 1, "b" => 3, "o" => 2}
Once the frequencies are ready, we calculate the product of each character’s ASCII value and its frequency. These products are stored in an array.
Ruby1 # Calculate the products of ASCII values and frequencies 2 combined_values = frequency_hash.map do |letter, freq| 3 letter.ord * freq 4 end
For the example "banana"
, the array combined_values
will contain:
Ruby1[99, 294, 222]
Finally, we sort the calculated products in descending order to complete Alice’s encoding scheme.
Ruby1 # Sort the products in descending order 2 combined_values.sort.reverse 3end
This ensures the output is properly organized. For "banana"
, the sorted array will be:
Ruby1[294, 222, 99]
Here is the full implementation of Alice’s encoding scheme, combining all the steps:
Ruby1def character_frequency_encoding(word) 2 # Shift each character to the next in the alphabet 3 shifted_chars = word.each_char.map do |letter| 4 if letter == 'z' 5 'a' # Wrap around for 'z' 6 else 7 (letter.ord + 1).chr # Shift to the next character 8 end 9 end 10 11 # Initialize a frequency hash 12 frequency_hash = Hash.new(0) 13 14 # Count the frequency of each character 15 shifted_chars.each do |letter| 16 frequency_hash[letter] += 1 17 end 18 19 # Calculate the products of ASCII values and frequencies 20 combined_values = frequency_hash.map do |letter, freq| 21 letter.ord * freq 22 end 23 24 # Sort the products in descending order 25 combined_values.sort.reverse 26end
Great job! You’ve successfully implemented Alice’s unique encoding scheme. Along the way, you explored string transformations, hash frequency analysis, and sorting techniques. This exercise demonstrates how breaking a problem into smaller, manageable steps leads to clear and effective solutions.
Keep practicing, and see how far you can take these skills in future challenges!