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v0 source realm

Package markovdemo is a small on-chain demo of the Markov-chain text generator provided by the [p/moul/x/daily/markov...

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gno.land/r/moul/x/daily/markovdemo/v0

Live demo of the p/moul/x/daily/markov Markov-chain text generator.

Holds one package-level markov.Chain as the on-chain corpus and wires it to the chain — babbling is seeded by runtime.ChainHeight(), so Generate stays a pure, reproducible query that still varies block to block. The realm ships pre-seeded with a couple of sentences, so a fresh deploy already babbles:

  • Feed(cur, text) — tokenize text and fold it into the corpus (the crossing function; any caller may enrich it).
  • Generate(nWords) string — babble ~nWords words, seeded by the block height.
  • Stats() (int, int) — returns (totalWords, prefixCount).
  • Render("/60") — a fresh 60-word sample plus corpus stats and a sample of prefix → suffix rows; Render("") defaults to 40 words.

All build/walk math lives in the library; this realm is just the wiring and the gnoweb view. Render it at /r/moul/x/daily/markovdemo/v0.

Part of moul/gno-contracts — moul's versioned gno.land contracts. See the repository for the full catalog, build/test tooling, and usage.

Dependency graph:

gno.land/r/moul/x/daily/markovdemo/v0 dependency graph

🧪 Highly experimental — potentially vibe-coded. Not audited; may break, change, or be removed at any time. Do not use with anything of value. Full disclaimer: DISCLAIMER.

Overview

Package markovdemo is a small on-chain demo of the Markov-chain text generator provided by the p/moul/x/daily/markov(/p/moul/x/daily/markov/v0) library.

It holds a single package-level markov.Chain as the corpus and wires it to the chain: Feed appends words to that persistent chain (a crossing function, since it mutates on-chain state), while Generate and Render walk it with a seed derived from runtime.ChainHeight() — so babbling is a pure, reproducible query that still varies block to block. It contains no Markov logic of its own — build/walk math all lives in the library.

Functions 4

func Feed

crossing Action 
1func Feed(cur realm, text string) string
source

Feed appends text to the on-chain corpus, extending the Markov chain. Any caller may enrich the corpus — this is the open-membership demo model.

func Generate

Action 
1func Generate(nWords int) string
source

Generate babbles up to nWords of Markov text from the current corpus, seeded deterministically by the chain height. Read-only.

func Render 

1func Render(path string) string
source

Render shows a freshly generated sample plus corpus stats. The path may carry a word count, e.g. Render("/60").

func Stats

Action 
1func Stats() (int, int)
source

Stats returns (totalWords, prefixCount) for the current corpus.

Imports 5

Source Files 3