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Novus Examples
yaml242 B

Sample YAML

A YAML configuration file with nested mappings, sequences, inline lists, and comments — for testing YAML parsers.

Preview — first 17 linesyaml
# Sample YAML configuration
server:
  host: localhost
  port: 8080
  tls:
    enabled: true
    minVersion: "1.2"
features:
  - search
  - editor
  - preview
users:
  - name: Ada
    roles: [admin, editor]
  - name: Grace
    roles: [editor]

Specifications

Structure
mappings, sequences, inline lists, comments
Valid
true

What is a .yaml file?

YAML (YAML Ain't Markup Language) is a human-readable data-serialization format using indentation, key-value pairs, and lists, and is a superset of JSON. It supports comments, anchors, and multiple documents per file, favoring readability for configuration. Its indentation sensitivity makes it error-prone to hand-edit.

How to use this file

Use an example YAML file to test config parsers, indentation and anchor handling, multi-document streams, and safe-loading to avoid arbitrary object construction.

How to use this file for testing

“Sample YAML” is a deterministic Novus Examples fixture for Data import. Realistic faker-generated datasets with documented schemas for testing import and ETL flows.

Documented properties for this file: mappings, sequences, inline lists, comments. 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.

Code examples

import yaml  # pip install pyyaml

with open("sample.yaml") as f:
    data = yaml.safe_load(f)
print(data)

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