[8804who] WEEK 04 solutions

best-time-to-buy-and-sell-stock/8804who.py

@@ -0,0 +1,13 @@
+class Solution:
+    def maxProfit(self, prices: List[int]) -> int:
+        answer = 0
+
+        min_price = prices[0]
+        for price in prices:
+            if min_price>price:
+                min_price=price
+
+            if answer<price-min_price:
+                answer=price-min_price
+        return answer
+

coin-change/8804who.py

@@ -0,0 +1,13 @@
+class Solution:
+    def coinChange(self, coins: List[int], amount: int) -> int:
+        dp = [1e9] * (amount+1)
+        dp[0] = 0
+
+        for i in range(1, amount+1):
+            for coin in coins:
+                if i-coin>=0:
+                    if dp[i-coin]+1<dp[i]:
+                        dp[i]=dp[i-coin]+1
+
+        return -1 if dp[amount]==1e9 else dp[amount]
+

find-minimum-in-rotated-sorted-array/8804who.py

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+class Solution:
+    def findMin(self, nums: List[int]) -> int:
+        left = 0
+        right = len(nums)-1
+        while True:
+            mid = (left+right)//2
+            if nums[left] > nums[right]:
+                if nums[left] > nums[mid]:
+                    right = mid
+                else:
+                    left = mid+1
+            else:
+                return nums[left]
+

group-anagrams/8804who.py

@@ -0,0 +1,9 @@
+class Solution:
+    def groupAnagrams(self, strs: List[str]) -> List[List[str]]:
+        dic=defaultdict(list)
+        for string in strs:
+            sorted_str = ''.join(sorted(string))
+            dic[sorted_str].append(string)
+
+        return list(dic.values())
+

maximum-depth-of-binary-tree/8804who.py

@@ -0,0 +1,22 @@
+# 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:
+        if not root:
+            return 0
+
+        def dfs(node, depth):
+            l, r = depth, depth
+
+            if node.left:
+                l = dfs(node.left, depth+1)
+            if node.right:
+                r = dfs(node.right, depth+1)
+            return max(l, r)
+
+        return dfs(root, 1)
+

merge-two-sorted-lists/8804who.py

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+# 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]:
+        sorted_list = []
+
+        while True:
+            if list1 is None and list2 is None:
+                break
+            elif list1 is None:
+                sorted_list.append(list2.val)
+                list2 = list2.next
+            elif list2 is None:
+                sorted_list.append(list1.val)
+                list1 = list1.next
+            else:
+                if list1.val > list2.val:
+                    sorted_list.append(list2.val)
+                    list2 = list2.next
+                else:
+                    sorted_list.append(list1.val)
+                    list1 = list1.next
+
+        def get_node(idx):
+            if idx < len(sorted_list):
+                return ListNode(sorted_list[idx], get_node(idx+1))
+            else:
+                return None
+
+        answer= get_node(0)
+
+        return answer
+

word-search/8804who.py

@@ -0,0 +1,31 @@
+class Solution:
+    def exist(self, board: List[List[str]], word: str) -> bool:
+        moves = [[-1, 0], [1, 0], [0, -1], [0, 1]]
+        max_y, max_x = len(board)-1, len(board[0])-1
+
+        visited = [[False for _ in range(len(board[0]))] for _ in range(len(board))]
+
+
+        def dfs(y, x, idx):
+            if idx == len(word):
+                return True
+            for move in moves:
+                moved_y, moved_x = y+move[0], x+move[1]
+                if max_y >= moved_y  and moved_y >= 0 and max_x >= moved_x and moved_x >= 0:
+                    if board[moved_y][moved_x] == word[idx] and not visited[moved_y][moved_x]:
+                        visited[moved_y][moved_x] = True
+                        if dfs(moved_y, moved_x, idx+1):
+                            return True
+                        visited[moved_y][moved_x] = False
+
+
+        for y in range(max_y+1):
+            for x in range(max_x+1):
+                if board[y][x] == word[0]:
+                    visited[y][x] = True
+                    if dfs(y, x, 1):
+                        return True
+                    visited[y][x] = False
+
+        return False
+