[daehyun99] WEEK 04 Solutions

find-minimum-in-rotated-sorted-array/daehyun99.py

@@ -0,0 +1,18 @@
+class Solution:
+    def findMin(self, nums: List[int]) -> int:
+        if len(nums) == 1:
+            return nums[0]
+
+        while True:
+            if nums[-1] < nums[0]:
+                nums[0] = nums.pop()
+            else:
+                break
+
+        return nums[0]
+
+"""
+class Solution:
+    def findMin(self, nums: List[int]) -> int:
+        return min(nums)
+"""

maximum-depth-of-binary-tree/daehyun99.py

@@ -0,0 +1,43 @@
+# Definition for a binary tree node.
+# class TreeNode:
+#     def __init__(self, val=0, left=None, right=None):
+#         self.val = val
+#         self.left = left
+#         self.right = right
+class Solution:
+    def maxDepth(self, root: Optional[TreeNode]) -> int:
+        count = 0
+        stacks1 = [root]
+        stacks2= []
+
+        if root is None:
+            return count
+        while len(stacks1) > 0 :
+            count += 1
+            while len(stacks1) > 0 :
+                node = stacks1.pop()
+
+                if node.left is not None:
+                    stacks2.append(node.left)
+                if node.right is not None:
+                    stacks2.append(node.right)
+            stacks1.extend(stacks2)
+            stacks2 = []
+        return count
+
+"""
+class Solution:
+    def maxDepth(self, root: Optional[TreeNode]) -> int:
+        def depth(node, dep):
+            if (node.left is None) and (node.right is None):
+                return dep
+            if (node.left is not None) and (node.right is None):
+                return depth(node.left, dep+1)
+            if (node.left is None) and (node.right is not None):
+                return depth(node.right, dep+1)
+            else:
+                return max(depth(node.left, dep+1), depth(node.right, dep+1))
+        if root is None:
+            return 0
+        return depth(root, 1)
+"""

merge-two-sorted-lists/daehyun99.py

@@ -0,0 +1,25 @@
+# Definition for singly-linked list.
+# class ListNode:
+#     def __init__(self, val=0, next=None):
+#         self.val = val
+#         self.next = next
+class Solution:
+    def mergeTwoLists(self, list1: Optional[ListNode], list2: Optional[ListNode]) -> Optional[ListNode]:
+        # Space: O(N)
+        # Time: O(N)
+        dummy = ListNode(val=0, next=None)
+        pointer = dummy
+        while (list1 is not None) and (list2 is not None):
+            if list1.val <= list2.val:
+                pointer.next = ListNode(list1.val)
+                list1 = list1.next
+            else:
+                pointer.next = ListNode(list2.val)
+                list2 = list2.next
+            pointer = pointer.next
+        if list1 is not None:
+            pointer.next = list1
+        elif list2 is not None:
+            pointer.next = list2
+
+        return dummy.next

word-search/daehyun99.py

@@ -0,0 +1,33 @@
+from collections import defaultdict
+class Solution:
+    def exist(self, board: List[List[str]], word: str) -> bool:
+        pos = defaultdict(list)
+        for i in range(len(board)):
+            for j in range(len(board[0])):
+                if board[i][j] in word:
+                    tmp = pos.get(board[i][j], [])
+                    tmp.append([i, j])
+                    pos[board[i][j]] = tmp
+
+        paths = pos.get(word[0], [])
+        paths = [[path] for path in paths]
+
+        for w in word[1:]:
+            temp = []
+
+            while len(paths) > 0:
+                path = paths.pop()
+                i , j = path[-1]
+                if ([i, j+1] in pos[w]) and ([i, j+1] not in path):
+                    temp.append(path[:] + [[i, j+1]])
+                if ([i, j-1] in pos[w]) and ([i, j-1] not in path):
+                    temp.append(path[:] + [[i, j-1]])
+                if ([i+1, j] in pos[w]) and ([i+1, j] not in path):
+                    temp.append(path[:] + [[i+1, j]])
+                if ([i-1, j] in pos[w]) and ([i-1, j] not in path):
+                    temp.append(path[:] + [[i-1, j]])
+            paths.extend(temp)
+        for path in paths:
+            if len(path) == len(word):
+                return True
+        return False