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json432 B

JSON Schema allOf Merge

JSON Schema allOf merging id and name requirements — tests composite schema validation.

Preview — first 28 linesjson
{
  "$schema": "http://json-schema.org/draft-07/schema#",
  "allOf": [
    {
      "type": "object",
      "required": [
        "id"
      ],
      "properties": {
        "id": {
          "type": "integer"
        }
      }
    },
    {
      "type": "object",
      "required": [
        "name"
      ],
      "properties": {
        "name": {
          "type": "string"
        }
      }
    }
  ]
}

Specifications

Construct
allOf
Branches
2

What is a .json file?

JSON (JavaScript Object Notation) is a lightweight, text-based data-interchange format representing objects, arrays, strings, numbers, booleans, and null. It is language-independent, human-readable, and the dominant format for web APIs and configuration. It requires a single well-formed root value.

How to use this file

Use an example JSON file to test parsers and serializers, schema validation, Unicode and number-precision handling, and API request or response processing.

How to use this file for testing

“JSON Schema allOf Merge” is a deterministic Novus Examples fixture for Schema / OpenAPI testing. Valid and intentionally invalid OpenAPI/JSON Schema documents plus request/response examples for schema validators and API tooling.

Documented properties for this file: JSON · 432 bytes. 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.

Valid and intentionally invalid siblings are labelled in title and description. Assert parsers accept the valid twin and fail loudly on the invalid one; for time series, check DST gaps and duplicate keys against the spec table.

Code examples

import json

with open("allof-merge.schema.json") as f:
    data = json.load(f)
print(type(data), len(data))

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