h-matchers

Test objects which pass equality checks with other objects.

Usage

from h_matchers import Any
import re

assert [1, 2, ValueError(), print, print] == [
        Any(),
        Any.int(),
        Any.instance_of(ValueError),
        Any.function(),
        Any.callable()
    ]

assert ["easy", "string", "matching"] == [
        Any.string(),
        Any.string.containing("in"),
        Any.string.matching('^.*CHING!', re.IGNORECASE)
    ]

assert "http://www.example.com?a=3&b=2" == Any.url(
    host='www.example.com', query=Any.mapping.containing({'a': 3}))

assert 5 == Any.of([5, None])

assert "foo bar" == All.of([
    Any.string.containing('foo'),
    Any.string.containing('bar')
])

assert user == Any.object.of_type(MyUser).with_attrs({"name": "Username"})

assert "http://example.com/path" == Any.url.with_host("example.com")

assert prepared_request == (
    Any.request
    .with_url(Any.url.with_host("example.com"))
    .containing_headers({'Content-Type': 'application/json'})
)

# ... and lots more

For more details see:

• Matching data structures - For details of matching collections and objects
• Matching web objects - For details about matching URLs, and web requests
• Matching numbers - For details about matching ints, floats etc. with conditions

Setting up Your h-matchers Development Environment

First you'll need to install:

• Git. On Ubuntu: sudo apt install git, on macOS: brew install git.
• GNU Make. This is probably already installed, run make --version to check.
• pyenv. Follow the instructions in pyenv's README to install it. The Homebrew method works best on macOS. The Basic GitHub Checkout method works best on Ubuntu. You don't need to set up pyenv's shell integration ("shims"), you can use pyenv without shims.

Then to set up your development environment:

git clone https://github.com/hypothesis/h-matchers.git
cd h-matchers
make help

Releasing a New Version of the Project

1. First, to get PyPI publishing working you need to go to:

   and add h-matchers to the PYPI_TOKEN secret's selected repositories.

2. Now that the h-matchers project has access to the PYPI_TOKEN secret you can release a new version by just creating a new GitHub release. Publishing a new GitHub release will automatically trigger a GitHub Actions workflow that will build the new version of your Python package and upload it to .

Changing the Project's Python Versions

To change what versions of Python the project uses:

1. Change the Python versions in the cookiecutter.json file. For example:

   "python_versions": "3.10.4, 3.9.12",
   

2. Re-run the cookiecutter template:

   make template
   

3. Commit everything to git and send a pull request

Changing the Project's Python Dependencies

To change the production dependencies in the setup.cfg file:

1. Change the dependencies in the .cookiecutter/includes/setuptools/install_requires file. If this file doesn't exist yet create it and add some dependencies to it. For example:

   pyramid
   sqlalchemy
   celery
   

2. Re-run the cookiecutter template:

   make template
   

3. Commit everything to git and send a pull request

To change the project's formatting, linting and test dependencies:

1. Change the dependencies in the .cookiecutter/includes/tox/deps file. If this file doesn't exist yet create it and add some dependencies to it. Use tox's factor-conditional settings to limit which environment(s) each dependency is used in. For example:

   lint: flake8,
   format: autopep8,
   lint,tests: pytest-faker,
   

2. Re-run the cookiecutter template:

   make template
   

3. Commit everything to git and send a pull request