hypothesis-json

This Python package provides a Hypothesis strategy to generate Python objects compliant to the JavaScript Object Notation (JSON) Data Interchange Format to uncover unhandled edge cases in your code.

Example

>>> from pprint import pprint
>>> from hypothesis_json.strategies import jsons
>>> pprint(jsons().example())
{'': '34.0',
 '-34.0': {'-27566.0': inf,
           '3.402823466e+38': ['11537'],
           '9007199254740992.0': 17857.0,
           'Infinity': '4794727320289625.0',
           'true': False},
 '\x14\U000db833': '-14719'}

Installation

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

pip install hypothesis-json

Remarks

Generated numbers are guaranteed to be processable as double-precision floating-point numbers
The non-standard constants supported by Python's json module are also generated by default, but may be omitted

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).

Licensing

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

Release files for hypothesis-json 2.0.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Built distribution (wheel)

Table of built distributions (wheels) for hypothesis-json 2.0.1
File	Interpreter	ABI	Platform	Reset
hypothesis_json-2.0.1-py3-none-any.whl 11.8 kB Jan 22, 2019	Python 3	none	any	Details

Release files / hypothesis_json-2.0.1-py3-none-any.whl

Download URL	hypothesis_json-2.0.1-py3-none-any.whl
Size	11.8 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`2b37adc7a62e482e18487561c8683ac03f589ae214881a24e561ef978b2e039c`
BLAKE2b-256 checksum How to use checksums	`b11d41f1cb4f12230402ea3b5008829fd92a2895ef7f6d5716c2eea0f3d6b45d`
Upload date	Jan 22, 2019
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`poetry/0.12.10 CPython/3.6.7 Darwin/17.7.0`