Skip to main content

A language for synthesizing randomized experimental designs

Project description

SweetPea

Build Status
typecheck
acceptance (fast)
acceptance (slow)
package

SweetPea is a domain-specific language for specifying factorial experimental designs and synthesizing trial sequences from those design specifications. An explanation of factorial experimental designs and how to build and manipulate them in SweetPea can be found in the SweetPea Guide.

SweetPea includes a synthesizer to generate unbiased sequences of trials that satisfy the design's constraints. In the most general case, SweetPea compiles an experimental design into a boolean satisfiability formula that is passed to a SAT sampler.

Currently, SweetPea uses the Unigen SAT sampler. Unigen provides statistical guarantees that the solutions it finds are approximately uniformly probable in the space of all valid solutions. Unfortunately, sampling this way is not tractable for all designs that can be expressed with SweetPea, and improving sampling strategies is a primary direction for ongoing work.

Disclaimer

SweetPea is still under active development, and therefore the interface and API may change. Please use with caution!

Dependencies

SweetPea requires Python 3.7.9 or later.

Installation

There are two ways to install SweetPea: from the Python Package Index (PyPI), or from source.

Installing from PyPI

SweetPea can be installed from PyPI via pip:

$ pip install sweetpea

This version may lag behind the current development version.

Installing from Source

To get the most up-to-date version of SweetPea, clone this repository, install SweetPea's dependencies, and install SweetPea itself:

$ git clone https://github.com/sweetpea-org/sweetpea-py.git
$ cd sweetpea-py
$ pip install -r requirements.txt
$ pip install .

:exclamation: Important!

The pip install . command installs SweetPea locally, but it will not automatically check for updates. If you intend to manually update your local copy of SweetPea, you should instead do pip install -e . to tell pip to use the source dynamically.


Examples

There are example programs in the example_programs directory, and there is a detailed explanation of how to use SweetPea in the SweetPea Guide.

API Documentation

The SweetPea API is documented in the API section of the SweetPea Guide.

Contributing

Information on how to contribute to SweetPea's development can be found in the Contributing section of the SweetPea Guide.

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

sweetpea-0.1.1.tar.gz (91.2 kB view details)

Uploaded Source

Built Distribution

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

sweetpea-0.1.1-py3-none-any.whl (123.2 kB view details)

Uploaded Python 3

File details

Details for the file sweetpea-0.1.1.tar.gz.

File metadata

  • Download URL: sweetpea-0.1.1.tar.gz
  • Upload date:
  • Size: 91.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/45.2.0 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.7.10

File hashes

Hashes for sweetpea-0.1.1.tar.gz
Algorithm Hash digest
SHA256 b608e6c49ac575052e52c181466c2a0ec8a7419d28d4c7d8f850c358f6561430
MD5 e8efb6b4367f4494d8ff32dc4c1db624
BLAKE2b-256 b261e9ef5df28cba393677acc664be363dcbf2816bbee17618900c75609e7f92

See more details on using hashes here.

File details

Details for the file sweetpea-0.1.1-py3-none-any.whl.

File metadata

  • Download URL: sweetpea-0.1.1-py3-none-any.whl
  • Upload date:
  • Size: 123.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/45.2.0 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.7.10

File hashes

Hashes for sweetpea-0.1.1-py3-none-any.whl
Algorithm Hash digest
SHA256 d4361155fe47fd74209e0964f81673186644077700eb10d9fe59fb8ef6ede9ac
MD5 334f14c50e2f92d21522519efde22350
BLAKE2b-256 77ea23e1b15681b1369a7e995c6ab68b56e584259238f5c4bf8d4747607f9751

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