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Hypothesis strategy to generate JSON-RPC 2.0

Project description


This Python package provides a Hypothesis strategy to generate Python objects compliant to the JSON-RPC 2.0 Specification to uncover unhandled edge cases in your code.


>>> from pprint import pprint
>>> from hypothesis_jsonrpc.strategies import requests
>>> pprint(requests().example())
{'id': 29028,
 'jsonrpc': '2.0',
 'method': "\U000db1d5\U0004cabb'\x03",
 'params': {'-105.0': {},
            'Infinity': ['false', -1677172375.0, -inf],
            'nan': [19940.0]}}


The package is published to the Python Package Index (PyPI) and may be installed using your favorite installer, e.g.:

pip install hypothesis-jsonrpc


  • So far, only requests, not responses, can be generated
  • Invalid requests are generated by mutating valid requests and are guranteed to be JSON compliant
  • Generated numbers are guaranteed to be processable as double-precision floating-point numbers
  • The non-standard constants supported by Python's json module may also be generated, but are disabled by default

Status & Versioning

Although this is a very young project, it was developed with a strong focus on quality and should be suitable for use in production environments. Versioning of releases will strictly follow the Semantic Versioning Specification (SemVer).


This project may be licensed under the terms of the OSI approved MirOS License.

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