def find_min(nums: list[int]) -> int:
l, r = 0, len(nums) - 1

while l < r:
    m = (l + r) // 2
    if nums[m] > nums[r]:
        l = m + 1
    else:
        r = m
        
return nums[l]

def last_stone_weight(stones: list[int]) -> int:
max_heap = [-s for s in stones]
heapq.heapify(max_heap)

while len(max_heap) > 1:
    first = heapq.heappop(max_heap)
    second = heapq.heappop(max_heap)
    
    if second > first:
        heapq.heappush(max_heap, first - second)
        
return -max_heap[0] if max_heap else 0

Analyzing Primary Categories and Subcategories in a Products Table: A Detailed Guide

Objective

In this analysis, we aim to examine the products table to identify and count all primary categories that do not have a parent category. Additionally, we will calculate the total number of uniqu...

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Objective

Construct a SQL query to retrieve a comprehensive list of customer orders. For each order, display the customer's name, the date the order was placed, the name of the product ordered, the quantity of the product, and the unit price. Ensure that the results are organized first by the cu...

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How to Retrieve and Order High-Value Customer Orders with Relevant Payment Information in SQL

Objective

Retrieve the names of customers, their order dates, total order amounts, payment methods, and payment dates for all orders exceeding $1,000. The results should be ordered by the total am...

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SELECT
ID,
Item,
Period,
UPPER(Material) AS Material,
Quantity
FROM {{ ref("artifacts") }}
WHERE Quantity > 100

How to Calculate Inventory Turnover Ratio by Product Category with SQL

Objective

To determine the inventory turnover ratio for each product category in a dataset, we need to write an SQL query. The inventory turnover ratio is defined as the total sales divided by the average inventory valu...

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Certainly! Here's a detailed, SEO-friendly response for your interview question:

Objective

Crafting an SQL query to calculate the fulfillment rate of each warehouse involves determining the percentage of orders delivered on or before their promised date. The goal is to produce a list of w...

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Read phone numbers from a text file, validate each against specific format patterns using Python regex, and output validation results marking each number as valid or invalid.

import collections

def is_valid_sudoku(board: list[list[str]]) -> bool:
cols = collections.defaultdict(set)
rows = collections.defaultdict(set)
squares = collections.defaultdict(set)

for r in range(9):
    for c in range(9):
        cell = board[r][c]
        if cell == ".":
            continue
        if (cell in rows[r] or
            cell in cols[c] or
            cell in squares[(r // 3, c // 3)]):
            return False
        cols[c].add(cell)
        rows[r].add(cell)
        squares[(r // 3, c // 3)].add(cell)

return True

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

def build_tree(preorder: list[int], inorder: list[int]) -> Optional[TreeNode]:
inorder_map = {val: idx for idx, val in enumerate(inorder)}
preorder_index = 0

def build(left, right):
    nonlocal preorder_index
    if left > right:
        return None
        
    root_val = preorder[preorder_index]
    root = TreeNode(root_val)
    preorder_index += 1
    
    mid = inorder_map[root_val]
    
    root.left = build(left, mid - 1)
    root.right = build(mid + 1, right)
    
    return root
    
return build(0, len(inorder) - 1)