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urav06/README.md

Hey πŸ‘‹

I'm Urav. I build things with code.


πŸ“Œ Featured Commit

This section auto-updates daily. It features one of my recent commits, or something interesting from my network, or a random gem from the wild. The commit gets roasted by an opinionated AI and rendered as a strange attractor.

Last updated: 2026-02-08

Entropy

Commit: dualeai/hpke-http by @clemlesne Β· cfe6112

Message: "refactor: centralize encoding labels via EncodingName enum

Derive KNOWN_ENCODING_BYTES from EncodingName in constants.py so adding a future encoding only requires updating the enum. Replace hardcoded _KNOWN_ENCODINGS frozenset and b"zstd" literal in fastapi middleware with KNOWN_ENCODING_BYTES and EncodingName.ZSTD.value.encode().

Replace hardcoded "identity" fallback in aiohttp/httpx _fetch_discovery() with EncodingName.IDENTITY.

Filter parse_accept_encoding() output to only known EncodingName values, symmetric with server-side validation β€” unknown encodings from discovery responses are now silently discarded instead of stored in _server_encodings."


Review: A truly solid move to consolidate magic strings into an enum, future-proofing extensions and reducing errors. While labeled a 'refactor,' the behavioral change to strictly discard unknown encodings in parsing is a brilliant shift towards robust, security-focused input handling; no more silently storing ambiguous nonsense.

Chaos: 65% Β· Mood: #4a90d9


What is this?

The Pipeline:

  1. A GitHub Action runs daily and picks a commit (my own β†’ network β†’ starred repos β†’ fallback)
  2. The commit diff is fed to Gemini, which produces a witty critique, a chaos score (0-100), and a mood color
  3. A Lorenz attractor is rendered using these parameters:
    • Chaos score β†’ modulates ρ (rho), affecting how chaotic the butterfly looks
    • Mood color β†’ tints the gradient from black β†’ color β†’ white
    • Commit hash β†’ seeds the initial conditions, so every commit is unique

The Math:

The Lorenz system is a set of differential equations that exhibit deterministic chaos. Small changes in initial conditions produce wildly different trajectories. It's the "butterfly effect", fitting for visualizing commits.

Links:

Browse the museum β†’ Β· See the code β†’

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