adding algo

src/my_project/interviews/amazon_high_frequency_23/common_algos/two_sum_round_5.py

@@ -0,0 +1,21 @@
+from typing import List, Union, Collection, Mapping, Optional
+from abc import ABC, abstractmethod
+
+class Solution:
+    def twoSum(self, nums: List[int], target: int) -> List[int]:
+
+        answer = dict()
+
+        for k, v in enumerate(nums):
+
+            if v in answer:
+                return [answer[v], k]
+            else: 
+                answer[target - v] = k
+
+        return []
+
+
+
+
+

src/my_project/interviews/amazon_high_frequency_23/common_algos/valid_palindrome_round_5.py

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+from typing import List, Union, Collection, Mapping, Optional
+from abc import ABC, abstractmethod
+import re
+
+class Solution:
+    def isPalindrome(self, s: str) -> bool:
+
+        # To lowercase
+        s = s.lower()
+
+        # Remove non-alphanumeric characters 
+        s = re.sub(pattern=r'[^a-zA-Z0-9]', repl='', string=s)
+
+        # Determine if s is palindrome or not 
+        len_s = len(s)
+
+        for i in range(len_s//2):
+
+            if s[i] != s[len_s - 1 - i]:
+                return False 
+
+        return True 

src/my_project/interviews/top_150_questions_round_22/ex_94_design_add_and_search_words_data_structure.py

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+from typing import List, Union, Collection, Mapping, Optional
+from abc import ABC, abstractmethod
+from collections import deque, defaultdict
+
+class WordDictionary:
+
+    def __init__(self):
+        self.root = {}
+
+
+    def addWord(self, word: str) -> None:
+        node = self.root
+        for char in word:
+            if char not in node:
+                node[char] = {}
+            node = node[char]
+        node['$'] = True  # Mark end of word
+
+
+    def search(self, word: str) -> bool:
+        def dfs(node, i):
+            if i == len(word):
+                return '$' in node
+
+            char = word[i]
+            if char == '.':
+                # Wildcard: try all possible characters at this position
+                for key in node:
+                    if key != '$' and dfs(node[key], i + 1):
+                        return True
+                return False
+            else:
+                # Exact character match
+                if char not in node:
+                    return False
+                return dfs(node[char], i + 1)
+
+        return dfs(self.root, 0)
+
+
+# Your WordDictionary object will be instantiated and called as such:
+# obj = WordDictionary()
+# obj.addWord(word)
+# param_2 = obj.search(word)

src/my_project/interviews_typescript/top_150_questions_round_1/ex_94_design_add_and_search_words_data_structure.ts

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+class WordDictionary {
+    private root: Map<string, any>;
+
+    constructor() {
+        this.root = new Map();
+    }
+
+    addWord(word: string): void {
+        let node = this.root;
+        for (const char of word) {
+            if (!node.has(char)) {
+                node.set(char, new Map());
+            }
+            node = node.get(char);
+        }
+        node.set('$', true);  // Mark end of word
+    }
+
+    search(word: string): boolean {
+        const dfs = (node: Map<string, any>, i: number): boolean => {
+            if (i === word.length) {
+                return node.has('$');
+            }
+
+            const char = word[i];
+            if (char === '.') {
+                // Wildcard: try all possible characters at this position
+                for (const [key, childNode] of node.entries()) {
+                    if (key !== '$' && dfs(childNode, i + 1)) {
+                        return true;
+                    }
+                }
+                return false;
+            } else {
+                // Exact character match
+                if (!node.has(char)) {
+                    return false;
+                }
+                return dfs(node.get(char), i + 1);
+            }
+        };
+
+        return dfs(this.root, 0);
+    }
+}

tests/test_150_questions_round_22/test_94_design_add_and_search_words_data_structure_round_22.py

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+import unittest
+from typing import Optional, List
+from src.my_project.interviews.top_150_questions_round_22\
+.ex_94_design_add_and_search_words_data_structure import WordDictionary
+
+
+class DesignAddAndSearchWordsDataStructureTestCase(unittest.TestCase):
+
+    def test_example_1(self):
+        """
+        Input: ["WordDictionary","addWord","addWord","addWord","search","search","search","search"]
+               [[],["bad"],["dad"],["mad"],["pad"],["bad"],[".ad"],["b.."]]
+        Output: [null,null,null,null,false,true,true,true]
+
+        Explanation:
+        WordDictionary wordDictionary = new WordDictionary();
+        wordDictionary.addWord("bad");
+        wordDictionary.addWord("dad");
+        wordDictionary.addWord("mad");
+        wordDictionary.search("pad"); // return False
+        wordDictionary.search("bad"); // return True
+        wordDictionary.search(".ad"); // return True
+        wordDictionary.search("b.."); // return True
+        """
+        wordDictionary = WordDictionary()
+
+        # Add words
+        wordDictionary.addWord("bad")
+        wordDictionary.addWord("dad")
+        wordDictionary.addWord("mad")
+
+        # Search for "pad" - should return False
+        self.assertFalse(wordDictionary.search("pad"))
+
+        # Search for "bad" - should return True
+        self.assertTrue(wordDictionary.search("bad"))
+
+        # Search for ".ad" - should return True (matches bad, dad, mad)
+        self.assertTrue(wordDictionary.search(".ad"))
+
+        # Search for "b.." - should return True (matches bad)
+        self.assertTrue(wordDictionary.search("b.."))