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Graphviz DOT Graph

A Graphviz DOT directed graph describing a fulfilment pipeline, for testing DOT parsing, Graphviz rendering, and DOT-to-SVG/PNG conversion.

Preview, first 10 linesdot
digraph Fulfilment {
  rankdir=LR;
  node [shape=box, style=rounded, fontname="Arial"];
  Order   -> Pick;
  Pick    -> Pack;
  Pack    -> Ship;
  Ship    -> Delivered;
  Order   -> Invoice [style=dashed];
}

Specifications

Format
Graphviz DOT
Type
digraph
Rankdir
LR

Testing contract

Expected to pass
Scenario
Exercise Graphviz DOT Graph in its diagrams workflow. A Graphviz DOT directed graph describing a fulfilment pipeline, for testing DOT parsing, Graphviz rendering, and DOT-to-SVG/PNG conversion.
Expected result
9 text lines, decoded as UTF-8; first nonempty line is 'digraph Fulfilment {'. Declared feature checks: type=digraph; rankdir=LR.

What is a .dot file?

A DOT file is a Graphviz graph described in the DOT language (nodes, edges, and attributes as plain text) which Graphviz lays out and renders to an image. It is a standard way to define directed and undirected graphs as code.

How to use this file

Use an example DOT file to test Graphviz rendering, DOT parsing, and DOT-to-SVG/PNG conversion.

How to use this file for testing

“Graphviz DOT Graph” is a deterministic Testaroo fixture for Conversion testing, Editor testing. The same content exported across many formats and linked as a group, so you can convert one and diff against the expected twin.

Documented properties for this file: Graphviz DOT · digraph. Compare results against paired or grouped companions on this page when present (clean↔damaged, searchable↔scanned, or format twins) so scores stay reproducible across runs.

Download the file once, keep the path stable in CI or local scripts, and treat the spec table as the contract: dimensions, seeds, field lists, and roles are intentional. Corrupt or invalid samples are labelled as such, expect parsers to fail loudly rather than silently accept them.

Data fixtures document their exact quirks (delimiters, encodings, null handling, schema, and row counts) in the spec table. Point your parser or importer at the file and assert it handles the documented edge cases; clean and deliberately-messy siblings make before/after diffs straightforward.

Generated by generation/data_dev_artifacts.py. Free for any use, no attribution required, license.