Skip to main content

Exhaustively enumerate a combinatorial space represented by a function

Project description

exhaust

A Python library to exhaustively enumerate a combinatorial space represented by a function.

The API is modelled after Python's random module and should feel familiar. An additional convenience function maybe() was added to cover a common case.

If you're missing a function and the corresponding space can be enumerated feel free to open an issue. Any functions that generate real-valued distributions cannot be supported.

Example

import exhaust

def generate_character(state: exhaust.State):
    eyes = []
    for _ in range(state.randint(1, 3)):
        eyes.append({
            'color': state.choice(['brown', 'blue']),
            'glowing': state.maybe()
        })
    size = 'giant' if len(eyes) == 1 else 'normal'
    accessories = []
    if len(eyes) == 2:
        if state.maybe():
            accessories.append('hat')
        if state.maybe():
            accessories.append('ring')    
    character = {
        'size': size,
        'eyes': eyes,
        'accessories': accessories
    }
    return character

# iterates over a space of 132 characters
for character in exhaust.space(generate_character):
    print(character)

As you can see, navigating the space works fine within loops as well. Each time a function from the State object is called (like maybe()), you can think of it as forking the current path into multiple branches, leading to a tree that gets explored. While exploring, the user-defined function is called for each path of the tree.

See the examples/ folder for further examples that can be run on the command line.

See the API Documentation for all available State functions.

Installation

pip install exhaust

Development

Requires pip >= 21.3

Editable install:

pip install -e .

Run tests:

pip install -r requirements-test.txt
pytest

Build docs:

pip install -r requirements-docs.txt
sphinx-build -b html docs dist-docs

Build wheel:

pip install build
python -m build --wheel

Acknowledgments

This package is inspired by KerasTuner's method of defining hyperparameter search spaces.

Project details


Download files

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

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

exhaust-1.1.0-py3-none-any.whl (5.0 kB view details)

Uploaded Python 3

File details

Details for the file exhaust-1.1.0-py3-none-any.whl.

File metadata

  • Download URL: exhaust-1.1.0-py3-none-any.whl
  • Upload date:
  • Size: 5.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.0 importlib_metadata/4.8.2 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.10.0

File hashes

Hashes for exhaust-1.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 aca1b82be71edcecc1c538ab9f908b78cfbaa5f40520734a7440db0d48017de2
MD5 075061eb51c616202716d1aaad401f0c
BLAKE2b-256 4a4ced16b3a2e4124755210f9c908b083d3bb69259d5e135bb1d1085528839d1

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