- Use Markdown All in One extension so that the most common editing features, like bold, indent, can be greatly improved.
- Turn on its auto open preview at side window.
Awesome — we’ll cover the .github/ folder from a reader’s POV: what it is, how it changes what you see on GitHub, and how to quickly make sense of it in any repo.
What the .github/ folder is • Purpose: holds GitHub-specific config (templates, automation, repo metadata). It doesn’t ship in packages or affect runtime code. • Scope: affects issues, PRs, Discussions, security disclosures, CI (GitHub Actions), and repo presentation.
How it changes your experience • Issues/PRs: you’ll see structured forms or prefilled text when opening issues/PRs. • Automation: PRs may auto-label, auto-assign reviewers, run checks/tests, or block merges. • Docs & policies: contribution rules, code of conduct, and security reporting paths show up in dedicated UI entries.
Great question 👍. A pyproject.toml file looks intimidating at first, but it’s just a TOML-formatted config. The trick is to know the sections that matter.
⸻
How to Read a pyproject.toml
- Build system
[build-system] requires = ["setuptools>=61.0"]
| Category | File / Directory | Purpose |
|---|---|---|
| Configuration & Build | .gitignore |
Specifies files/folders Git should ignore. |
| Configuration & Build | .pre-commit-config.yaml |
Defines linting/formatting hooks for pre-commit. |
| Configuration & Build | .pylintrc |
Config file for pylint (style/linting rules). |
| Configuration & Build | tox.ini |
Automates testing across multiple environments. |
| Configuration & Build | pyproject.toml |
Defines packaging, dependencies, and build system. |
| Configuration & Build | Dockerfile |
Provides containerized build/runti |
- process isolation
- For Linux and WSL.
| #!/bin/bash | |
| # === Cache Cleanup Script === | |
| # Cleans caches for Homebrew, UV, Hugging Face, and NPM | |
| # Usage: bash cleanup.sh [options] | |
| # Options: | |
| # -a, --all Clean all caches | |
| # -b, --brew Clean Homebrew cache | |
| # -u, --uv Clean UV cache | |
| # -h, --huggingface Clean Hugging Face cache |
How can I find the model implementation for a particular model?
- Usually it's avaiable from
transformers/models/xxxx, e.g., forqwen2_5_vl
| from typing import List, Tuple, Optional, Union, Callable | |
| import numpy as np | |
| # Define a Tensor type for clarity in this pseudocode | |
| Tensor = np.ndarray # In real implementation, this would be a framework-specific tensor type | |
| # Qwen2.5-VL Vision Encoder Pseudocode | |
| class Qwen25VisionEncoder: | |
| def __init__(self, |
| Technology | Version | Purpose |
|---|---|---|
| Next.js | 14.2.0 | React framework with file-based routing, static site generation |
| React | 18.2.0 | UI library for component-based development |
| TypeScript | 5.3.3 | Static type-checking for JavaScript |
| TailwindCSS | 3.4.1 | Utility-first CSS framework |