Skip to main content

golden master/snapshot/approval testing library which puts the values right into your source code

Project description

inline-snapshot

Docs pypi version Python Versions PyPI - Downloads coverage GitHub Sponsors

create and update inline snapshots in your code.

Installation

You can install "inline-snapshot" via pip:

pip install inline-snapshot

Usage

You can use snapshot() instead of the value which you want to compare with.

from inline_snapshot import snapshot


def test_something():
    assert 1548 * 18489 == snapshot()

You can now run the tests and record the correct values.

$ pytest --inline-snapshot=create
from inline_snapshot import snapshot


def test_something():
    assert 1548 * 18489 == snapshot(28620972)

inline-snapshot provides more advanced features like:

from inline_snapshot import snapshot


def test_something():
    for number in range(5):
        # testing for numeric limits
        assert number <= snapshot(4)
        assert number >= snapshot(0)

    for c in "hello world":
        # test if something is part of a set
        assert c in snapshot(["h", "e", "l", "o", " ", "w", "r", "d"])

    s = snapshot(
        {
            0: {"square": 0, "pow_of_two": False},
            1: {"square": 1, "pow_of_two": True},
            2: {"square": 4, "pow_of_two": True},
            3: {"square": 9, "pow_of_two": False},
            4: {"square": 16, "pow_of_two": True},
        }
    )

    for number in range(5):
        # create sub-snapshots at runtime
        assert s[number]["square"] == number**2
        assert s[number]["pow_of_two"] == ((number & (number - 1) == 0) and number != 0)

More information can be found in the documentation.

Feedback

inline-snapshot provides some advanced ways to work with snapshots.

I would like to know how these features are used to further improve this small library. Let me know if you've found interesting use cases for this library via twitter or in the github discussions.

Issues

If you encounter any problems, please report an issue along with a detailed description.

License

Distributed under the terms of the MIT license, "inline-snapshot" is free and open source software.

Project details


Download files

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

Source Distribution

inline_snapshot-0.3.2.tar.gz (11.4 kB view details)

Uploaded Source

Built Distribution

inline_snapshot-0.3.2-py3-none-any.whl (11.8 kB view details)

Uploaded Python 3

File details

Details for the file inline_snapshot-0.3.2.tar.gz.

File metadata

  • Download URL: inline_snapshot-0.3.2.tar.gz
  • Upload date:
  • Size: 11.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.5.0 CPython/3.11.0 Linux/5.10.0-23-amd64

File hashes

Hashes for inline_snapshot-0.3.2.tar.gz
Algorithm Hash digest
SHA256 d43e9fa4bb5cbf958befee299e4d2cc30e6f80276d8e3fc80b7e900cf7442eff
MD5 a8e7939ada1a229950eca4c1641a4d0c
BLAKE2b-256 26d0c28c6a8cb4fe41e5101c1b0b27dd1488125c97c029df89e006bbdbf4066f

See more details on using hashes here.

File details

Details for the file inline_snapshot-0.3.2-py3-none-any.whl.

File metadata

  • Download URL: inline_snapshot-0.3.2-py3-none-any.whl
  • Upload date:
  • Size: 11.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.5.0 CPython/3.11.0 Linux/5.10.0-23-amd64

File hashes

Hashes for inline_snapshot-0.3.2-py3-none-any.whl
Algorithm Hash digest
SHA256 3f01bed907c6addfe0481fc520282fade9b9f76203751594a3ba282c53e96e1a
MD5 e00bd11b162bc62a0e9cabb1e2c19951
BLAKE2b-256 048e9a7397a11b43d9fbe667c8bba38dfec9764654e1fffaf3417fe6ee1eb30e

See more details on using hashes here.

Supported by

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