A fleeting mayfly in the world, a single grain in the boundless sea.
This guide shows how to build a Flask service that reads image BLOBs from a MySQL database, validates requests, enables cross‑origin access, configures HTTPS with certificates, and returns the image as a URL for mouse‑hover display in FanRuan reports.
This guide explains how to replace Bootstrap with jQuery UI in FineReport, load the necessary CSS/JS files, and configure a tooltip on column E so that hovering over a cell shows a fixed‑URL image without causing the table to jitter.
This tutorial walks through creating a FineReport template, adding a parameter panel, designing the table, importing Bootstrap CSS/JS, configuring a tooltip, writing JavaScript to display a fixed‑URL image when hovering over cells in column E, and previewing the result.
This article walks through creating a safety‑protective‑equipment warning management system using FineReport, covering MySQL table setup, data import templates, batch handling, validation formulas, SQL‑driven datasets, pagination controls, batch deletion, warning calculations, detailed view reports, and dashboard visualisation with pie, bar and gauge charts.
The article explains what inversion pairs are, demonstrates a naïve O(n²) counting method, then introduces a smarter right‑to‑left approach using a Fenwick (Binary Indexed) tree with discretization to achieve efficient O(n log n) inversion counting, providing full Python implementations and step‑by‑step examples.
This article explains the treap data structure, detailing how each node stores a key and a priority to satisfy both binary‑search‑tree ordering and heap ordering, and walks through insertion, rotation, deletion, and a full Python implementation with concrete examples.
This article explains how a Fenwick (Binary Indexed) Tree stores prefix sums using binary representations and the least‑significant‑bit trick, shows concrete examples for computing sums of sub‑arrays, and provides a full Python implementation with update and query operations.
This article explains the segment tree data structure, showing how to build it both bottom‑up and recursively, how node indexing works, and how the query algorithm skips irrelevant intervals to compute range sums in logarithmic time, complete with Python code examples and performance tips.
This article walks through the design of an intelligent travel‑planning system that uses Dijkstra’s algorithm to compute the minimum travel cost to each city while maximizing the number of cities visited, detailing problem formulation, algorithmic steps, variable initialization, edge‑relaxation logic, and a full Python implementation.
The article explains how to use a max‑heap together with backtracking and a greedy strategy in Python to recommend the top three attractions with the highest scores while keeping the total travel distance under 20 km, and discusses the algorithm's steps, example execution, and limitations.
