Skip to main content

A library for property-based testing

Project description

Hypothesis

Hypothesis is the property-based testing library for Python. With Hypothesis, you write tests which should pass for all inputs in whatever range you describe, and let Hypothesis randomly choose which of those inputs to check - including edge cases you might not have thought about. For example:

from hypothesis import given, strategies as st


@given(st.lists(st.integers()))
def test_matches_builtin(ls):
    assert sorted(ls) == my_sort(ls)

This randomized testing can catch bugs and edge cases that you didn't think of and wouldn't have found. In addition, when Hypothesis does find a bug, it doesn't just report any failing example — it reports the simplest possible one. This makes property-based tests a powerful tool for debugging, as well as testing.

For instance,

def my_sort(ls):
    return sorted(set(ls))

fails with the simplest possible failing example:

Falsifying example: test_matches_builtin(ls=[0, 0])

Installation

To install Hypothesis:

pip install hypothesis

There are also optional extras available.

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

hypothesis-6.135.32.tar.gz (456.4 kB view details)

Uploaded Source

Built Distribution

hypothesis-6.135.32-py3-none-any.whl (523.4 kB view details)

Uploaded Python 3

File details

Details for the file hypothesis-6.135.32.tar.gz.

File metadata

  • Download URL: hypothesis-6.135.32.tar.gz
  • Upload date:
  • Size: 456.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.10.18

File hashes

Hashes for hypothesis-6.135.32.tar.gz
Algorithm Hash digest
SHA256 b74019dc58065d806abea6292008a392bc9326b88d6a46c8cce51c9cd485af42
MD5 eea891b8dff575862a76d6ddfcde0b85
BLAKE2b-256 fa1a5b0a64bcbbf642ecc4697d89b762ed62481a7dd36e5f5cbf93f29043b1e9

See more details on using hashes here.

File details

Details for the file hypothesis-6.135.32-py3-none-any.whl.

File metadata

  • Download URL: hypothesis-6.135.32-py3-none-any.whl
  • Upload date:
  • Size: 523.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.10.18

File hashes

Hashes for hypothesis-6.135.32-py3-none-any.whl
Algorithm Hash digest
SHA256 d0f2bf93863f19a7af2510685dde2b89efb94eaebd3ca0b86c548cd8daa33ab0
MD5 0bef446d03ab40a1d5fc2428e15de46e
BLAKE2b-256 0a06e430a4134be021e1965473804409584ddf9b6a42906d360b9c75d3c35c79

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page