lla
Interpreter for a basic logic language, inspired by two-element boolean algebra.
Demo
Here's a quick demo, based on the example that prompted its creation:
>>> from lla.interpreter import Interpreter
>>> variables = {
... 'ssh': True,
... 'website_up': True,
... 'search_up': False,
... 'elasticsearch.http': False,
... 'elasticsearch.process': True,
... }
>>> interpreter = Interpreter(variables)
>>> interpreter.run('ssh & website_up')
True
>>> interpreter.run('ssh & website_up & search_up')
False
>>> interpreter.run('!search_up & !elasticsearch.http & elasticsearch.process')
True
>>> interpreter.run('undefined_variable')
Traceback (most recent call last):
...
lla.interpreter.UndefinedVariableException: Undefined variable: undefined_variable
By replacing the variables dict with a class implementing __getitem__,
it becomes incredibly flexible.
Overview
Here's the gist of it:
- All variables are booleans.
- You can't define variables in the language itself, but it be provided a
dictor any object implementing__getitem__. - Only fully-resolvable statements are supported. a. Anything else raises a Python exception.
- You provide the interpreter a single statement and it gets simplified to a single boolean value, which is then returned.
Dependencies
In theory, all you need is Python 3.6+.
Contributing
Bug reports and pull requests are welcome on GitHub at https://github.com/duckinator/lla.
The code for lla is available under the MIT License.
Metadata
Release files for lla 0.0.6
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| lla-0.0.6.tar.gz | 5.0 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| lla-0.0.6-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 11.4 kB
Release files / lla-0.0.6.tar.gz
| Download URL | lla-0.0.6.tar.gz |
|---|---|
| Size | 5.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
26ed85cb54a91e14c1c80ff72cf2f6378b09d9ccf4c3f125ebcffb862d53d886
|
|
BLAKE2b-256 checksum How to use checksums |
bd0bd47047cf9c1a84fbb289dd3055a9f889fb5ff7f4318c3094414d5a63e170
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.3.1 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.8.5
|
Release files / lla-0.0.6-py3-none-any.whl
| Download URL | lla-0.0.6-py3-none-any.whl |
|---|---|
| Size | 6.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
8f649fd46b934debc6b10cb798d73df40fdd8f1447fdaf362ffe987a1f032aa7
|
|
BLAKE2b-256 checksum How to use checksums |
9980858e5a4db380774f4472f591aba0c53b39b6ee721ea4d7134530278e7964
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.3.1 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.8.5
|
Security for lla 0.0.6
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.