Tarski is a parser and preprocessor to define and manipulate classical planning problems
Project description
Tarski - The Planning Problem Definition Module
What is Tarski
To be defined :-)
Installation and Usage
You can install the latest version of Tarski through pip by issuing the following on the root directory of the project:
pip install -U git+https://github.com/aig-upf/tarski.git
If you are developing Tarski, we strongly recommend cloning from the Github repository and using a virtual
environment and installing in development mode
by using the -e
flag:
git clone https://github.com/aig-upf/tarski
cd tarski
pip install -e .
This will install the project in "editable mode", i.e., by using the actual files from the project directory tree, as opposed to a copy installed in some system or virtualenv directory. Any modification to the files will thus be immediately reflected in the installed library.
Testing
All of Tarski's tests live under the tests
directory (shocking!).
To run them, you just need to run pytest
(pip install pytest
) on the root directory.
You can also run tox
(pip install tox
) to have some additional style checks.
Software Requirements
Tarski requires Python >= 3.5. The above installation instructions will install under the hood a number of dependencies, among which numpy and scipy.
Supported Languages
At the moment, Tarski is able to parse the following modeling languages:
- PDDL
- Functional STRIPS
with the following limitations:
- The PDDL
either
keyword for defining compound types is not supported. - Parsing of derived predicates is not supported yet.
Modules
- Description Logic (
tarski.dl
) - PDDL / FSTRIPS parsing and writing (
tarski.io
)
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file tarski-0.1.9.tar.gz
.
File metadata
- Download URL: tarski-0.1.9.tar.gz
- Upload date:
- Size: 122.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.2 CPython/3.5.2
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 6bd7029b4d4b0e7db8e18898642513904eddade0642070e0a462f036e0a029ae |
|
MD5 | 9f299d42f08c1cb6191eb708dcfa318e |
|
BLAKE2b-256 | 4badf62b1c783005151e1b6e01e54c897fa9267c5dede93e1099927affffef62 |
File details
Details for the file tarski-0.1.9-py3-none-any.whl
.
File metadata
- Download URL: tarski-0.1.9-py3-none-any.whl
- Upload date:
- Size: 155.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.2 CPython/3.5.2
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 81841c5790d56384bc18348a67f42fdd6f459d3504d396b02790d76974a388c6 |
|
MD5 | 71dc8ec6272acabcbb8c9878dd90b4cd |
|
BLAKE2b-256 | 86e1855050f3dab98764b3bff2069fcc22eedf7eb447e72380008f58d04b2ec6 |