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DSA Rustprogramming~5 mins

Group Anagrams Using Hash Map in DSA Rust - Cheat Sheet & Quick Revision

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Recall & Review
beginner
What is an anagram?
An anagram is a word or phrase formed by rearranging the letters of another word or phrase, using all the original letters exactly once.
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beginner
Why use a hash map to group anagrams?
A hash map helps group words by a common key, such as sorted letters, allowing quick lookup and grouping of all anagrams together.
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beginner
In Rust, what data structure is commonly used as a hash map?
Rust commonly uses the std::collections::HashMap to store key-value pairs with fast access.
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beginner
How do you create a key for grouping anagrams?
Sort the letters of the word alphabetically and use the sorted string as the key in the hash map.
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intermediate
What is the time complexity of grouping anagrams using a hash map with sorted keys?
The time complexity is O(N * K log K), where N is the number of words and K is the maximum length of a word (due to sorting each word).
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What is the key used in the hash map to group anagrams?
ANumber of vowels in the word
BSorted letters of the word
CFirst letter of the word
DLength of the word
Which Rust collection is best for grouping anagrams by keys?
AVec
BLinkedList
CBinaryHeap
DHashMap
What operation is performed on each word to create the hash map key?
ASort the letters
BReverse the word
CConvert to uppercase
DCount the letters
What is the main benefit of using a hash map for grouping anagrams?
AGrouping by common keys efficiently
BFaster insertion order
CSorting the entire list
DReducing memory usage
If you have 5 words each of length 4, what is the approximate complexity to group them by anagrams?
AO(5)
BO(5 * 4)
CO(5 * 4 log 4)
DO(5^4)
Explain how to group a list of words into anagrams using a hash map in Rust.
Think about how sorting letters helps identify anagrams.
You got /4 concepts.
    Describe the role of sorting in the process of grouping anagrams.
    Sorting transforms words to a comparable form.
    You got /4 concepts.

      Practice

      (1/5)
      1. What is the main idea behind grouping anagrams using a hash map?
      easy
      A. Use the length of words as keys to group them
      B. Store words in a list without any grouping
      C. Group words by their first letter only
      D. Use sorted strings as keys to group words with the same letters

      Solution

      1. Step 1: Understand anagram grouping

        Anagrams have the same letters in different orders, so sorting letters gives a common key.
      2. Step 2: Use sorted string as hash map key

        By sorting each word and using it as a key, all anagrams map to the same key and group together.
      3. Final Answer:

        Use sorted strings as keys to group words with the same letters -> Option D
      4. Quick Check:

        Sorted string key groups anagrams [OK]
      Hint: Sort each word to find its anagram group key [OK]
      Common Mistakes:
      • Grouping by word length only
      • Using first letter as key
      • Not sorting letters before grouping
      2. Which Rust code snippet correctly creates a hash map to group anagrams by sorted keys?
      easy
      A. let mut map: HashMap = HashMap::new();
      B. let map = Vec::new();
      C. let mut map: HashMap = HashMap::new();
      D. let mut map: HashMap = HashMap::new();

      Solution

      1. Step 1: Identify correct hash map type

        We need keys as sorted strings and values as vectors of strings to hold grouped anagrams.
      2. Step 2: Match Rust syntax for hash map

        HashMap correctly maps sorted keys to lists of words.
      3. Final Answer:

        let mut map: HashMap = HashMap::new(); -> Option A
      4. Quick Check:

        HashMap with String keys and Vec<String> values [OK]
      Hint: Use HashMap for grouping anagrams [OK]
      Common Mistakes:
      • Using Vec instead of HashMap
      • Wrong value type (String instead of Vec<String>)
      • Incorrect key type (i32 instead of String)
      3. What is the output of this Rust code that groups anagrams?
      use std::collections::HashMap;
      
      fn group_anagrams(words: Vec<&str>) -> Vec {
          let mut map: HashMap = HashMap::new();
          for word in words {
              let mut chars: Vec<char> = word.chars().collect();
              chars.sort_unstable();
              let key = chars.into_iter().collect::<String>();
              map.entry(key).or_default().push(word.to_string());
          }
          map.into_values().collect()
      }
      
      fn main() {
          let input = vec!["eat", "tea", "tan", "ate", "nat", "bat"];
          let result = group_anagrams(input);
          println!("{:?}", result);
      }
      medium
      A. [["eat", "ate", "tea"], ["tan", "nat"], ["bat"]]
      B. [["eat"], ["tea"], ["tan"], ["ate"], ["nat"], ["bat"]]
      C. [["eat", "tea", "ate"], ["tan", "nat"], ["bat"]]
      D. [["eat", "tea"], ["tan"], ["ate", "nat"], ["bat"]]

      Solution

      1. Step 1: Sort each word to create keys

        "eat", "tea", "ate" all sort to "aet"; "tan", "nat" to "ant"; "bat" to "abt".
      2. Step 2: Group words by sorted keys

        Words with same sorted key are grouped: ["eat", "tea", "ate"], ["tan", "nat"], ["bat"].
      3. Final Answer:

        [["eat", "tea", "ate"], ["tan", "nat"], ["bat"]] -> Option C
      4. Quick Check:

        Sorted keys group anagrams [OK]
      Hint: Sort letters and group words by sorted key [OK]
      Common Mistakes:
      • Not sorting letters before grouping
      • Grouping single words separately
      • Mixing order of groups incorrectly
      4. Identify the bug in this Rust code for grouping anagrams:
      use std::collections::HashMap;
      
      fn group_anagrams(words: Vec<&str>) -> Vec {
          let mut map: HashMap = HashMap::new();
          for word in words {
              let mut chars: Vec<char> = word.chars().collect();
              chars.sort(); // Bug here
              let key = chars.into_iter().collect::<String>();
              map.entry(key).or_default().push(word.to_string());
          }
          map.into_values().collect()
      }
      medium
      A. Use sort_unstable() instead of sort() for better performance
      B. Change chars.into_iter() to chars.iter()
      C. Use a HashSet instead of HashMap
      D. Convert word to lowercase before sorting

      Solution

      1. Step 1: Identify sorting method issue

        Using chars.sort() works but sort_unstable() is preferred for primitive types like char for speed.
      2. Step 2: Explain why sort_unstable() is better

        sort_unstable() is faster and sufficient here because order stability is not needed for grouping anagrams.
      3. Final Answer:

        Use sort_unstable() instead of sort() for better performance -> Option A
      4. Quick Check:

        sort_unstable() improves sorting speed [OK]
      Hint: Use sort_unstable() for sorting chars in anagrams [OK]
      Common Mistakes:
      • Using sort() unnecessarily slowing code
      • Changing iterator type incorrectly
      • Ignoring case sensitivity issues
      5. Given a list of words with mixed case and spaces, how would you modify the Rust code to group anagrams correctly ignoring case and spaces? Example input: ["Listen", "Silent", "en list", "in lets"]
      hard
      A. Sort letters without any changes to words
      B. Convert words to lowercase and remove spaces before sorting letters
      C. Use word length as key for grouping
      D. Group words by their first character only

      Solution

      1. Step 1: Normalize words by removing spaces and converting to lowercase

        To group anagrams ignoring case and spaces, clean words by removing spaces and making all letters lowercase.
      2. Step 2: Sort letters of normalized words and use as keys

        After normalization, sort letters to get keys that group all anagrams regardless of case or spaces.
      3. Final Answer:

        Convert words to lowercase and remove spaces before sorting letters -> Option B
      4. Quick Check:

        Normalize words before sorting for correct grouping [OK]
      Hint: Lowercase and remove spaces before sorting letters [OK]
      Common Mistakes:
      • Not normalizing case and spaces
      • Using length or first letter as key
      • Sorting original words without cleaning
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