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

If you're not sure about the file name format, learn more about wheel file names.

exhaust-1.0.2-py3-none-any.whl (4.7 kB view details)

Uploaded Python 3

File details

Details for the file exhaust-1.0.2-py3-none-any.whl.

File metadata

  • Download URL: exhaust-1.0.2-py3-none-any.whl
  • Upload date:
  • Size: 4.7 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-1.0.2-py3-none-any.whl
Algorithm Hash digest
SHA256 c62eeea7e4c3cd2e50143b3bd147580f9e163494cb2333966d08c0a8b0e0c48e
MD5 96333c40e7078b15b4cab57916cda8ff
BLAKE2b-256 4c9eeb76565fa8aca6d3516a10bfd1eb1cbf57647653dfa2f0ec17692f84923b

See more details on using hashes here.

Supported by

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