Count the Number of Consistent Strings

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Release: 2024-09-13 06:22:02
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Count the Number of Consistent Strings

1684. Count the Number of Consistent Strings

Difficulty: Easy

Topics: Array, Hash Table, String, Bit Manipulation, Counting

You are given a string allowed consisting of distinct characters and an array of strings words. A string is consistent if all characters in the string appear in the string allowed.

Return the number of consistent strings in the array words.

Example 1:

  • Input: allowed = "ab", words = ["ad","bd","aaab","baa","badab"]
  • Output: 2
  • Explanation: Strings "aaab" and "baa" are consistent since they only contain characters 'a' and 'b'.

Example 2:

  • Input: allowed = "abc", words = ["a","b","c","ab","ac","bc","abc"]
  • Output: 7
  • Explanation: All strings are consistent.

Example 3:

  • Input: allowed = "cad", words = ["cc","acd","b","ba","bac","bad","ac","d"]
  • Output: 4
  • Explanation: Strings "cc", "acd", "ac", and "d" are consistent.

Constraints:

  • 1 <= words.length <= 104
  • 1 <= allowed.length <= 26
  • 1 <= words[i].length <= 10
  • The characters in allowed are distinct.
  • words[i] and allowed contain only lowercase English letters.

Hint:

  1. A string is incorrect if it contains a character that is not allowed
  2. Constraints are small enough for brute force

Solution:

The idea is to check if each word in the words array is consistent with the characters in the allowed string. A word is consistent if all its characters are present in the allowed string.

Plan

  1. Allowed Characters Set:

    • We can convert the allowed string into a set of characters to efficiently check if each character in the word exists in the set.
  2. Word Consistency Check:

    • For each word in the words array, check if all its characters exist in the allowed set.
  3. Count Consistent Words:

    • Initialize a counter. For each word that is consistent, increment the counter.
  4. Return the Count:

    • Once all words are processed, return the count of consistent words.

Let's implement this solution in PHP: 1684. Count the Number of Consistent Strings

<?php
/**
 * @param String $allowed
 * @param String[] $words
 * @return Integer
 */
function countConsistentStrings($allowed, $words) {
    ...
    ...
    ...
    /**
     * go to ./solution.php
     */
}

// Example usage:

// Example 1:
$allowed = "ab";
$words = ["ad", "bd", "aaab", "baa", "badab"];
echo countConsistentStrings($allowed, $words); // Output: 2

// Example 2:
$allowed = "abc";
$words = ["a","b","c","ab","ac","bc","abc"];
echo countConsistentStrings($allowed, $words); // Output: 7

// Example 3:
$allowed = "cad";
$words =  ["cc","acd","b","ba","bac","bad","ac","d"];
echo countConsistentStrings($allowed, $words); // Output: 4
?>




<h3>
  
  
  Explanation:
</h3>

<ol>
<li>
<p><strong>Allowed Set</strong>:</p>

<ul>
<li>We create an associative array $allowedSet where each key is a character from the allowed string. This allows for fast lookups.</li>
</ul>
</li>
<li>
<p><strong>Word Consistency</strong>:</p>

<ul>
<li>For each word in the words array, we loop through its characters and check if they are in $allowedSet. If we find any character that isn't in the set, the word is marked as inconsistent, and we move on to the next word.</li>
</ul>
</li>
<li>
<p><strong>Counting</strong>:</p>

<ul>
<li>Every time we find a consistent word, we increment the counter $consistentCount.</li>
</ul>
</li>
<li>
<p><strong>Return the Result</strong>:</p>

<ul>
<li>After processing all words, the counter holds the number of consistent strings, which we return.</li>
</ul>
</li>
</ol>

<h3>
  
  
  Time Complexity:
</h3>

<ul>
<li>
<strong>Time Complexity</strong>: O(n * m), where n is the number of words and m is the average length of the words. We are iterating through all the words and their characters.</li>
</ul>

<h3>
  
  
  Example Walkthrough:
</h3>

<p>For the input:<br>
</p>

<pre class="brush:php;toolbar:false">$allowed = "ab";
$words = ["ad", "bd", "aaab", "baa", "badab"];
Copy after login
  • We create a set: allowedSet = ['a' => true, 'b' => true].
  • Checking each word:
    • "ad" is inconsistent (contains 'd').
    • "bd" is inconsistent (contains 'd').
    • "aaab" is consistent (only contains 'a' and 'b').
    • "baa" is consistent (only contains 'a' and 'b').
    • "badab" is inconsistent (contains 'd').

Thus, the function returns 2.

Constraints Handling:

  • Since allowed can only have up to 26 distinct characters, and words has at most 10,000 entries, this brute-force solution is efficient enough given the constraints. Each word can have a maximum length of 10, making it feasible to iterate over all characters.

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