Skip to main content

Tools to aid the development of explanation systems using clingo

Project description

from clingexplaid.transformers.transformer_assumption import FilterSignature

clingexplaid

API to aid the development of explanation systems using clingo

Installation

Clingo-Explaid easily be installed with pip:

pip install clingexplaid

Requirements

  • python >= 3.9
  • clingo >= 5.7.1

Building from Source

Please refer to DEVELOPEMENT

API

Here are two example for using clingexplaid's API.

Minimal Unsatisfiable Subsets (MUS)

Getting a single MUS:

import clingo
from clingexplaid.transformers import AssumptionTransformer
from clingexplaid.transformers.transformer_assumption import FilterSignature
from clingexplaid.mus import CoreComputer

PROGRAM = """
a(1..3).
{b(4..6)}.

a(X) :- b(X).

:- a(X), X>=3.
"""

control = clingo.Control()
at = AssumptionTransformer(filters={FilterSignature("a", 1)})

transformed_program = at.parse_string(PROGRAM)

control.add("base", [], transformed_program)
control.ground([("base", [])])

assumptions = at.get_assumption_literals(control)

cc = CoreComputer(control, assumptions)


def shrink_on_core(core) -> None:
    mus_literals = cc.shrink(core)
    print("MUS:", cc.mus_to_string(mus_literals))


control.solve(assumptions=list(assumptions), on_core=shrink_on_core)

Getting multiple MUS:

import clingo
from clingexplaid.transformers import AssumptionTransformer
from clingexplaid.mus import CoreComputer

PROGRAM = """
a(1..3).
b(1..3).

:- a(X), b(X).
"""

at = AssumptionTransformer()
transformed_program = at.parse_string(PROGRAM)
control = clingo.Control()
control.add("base", [], transformed_program)
control.ground([("base", [])])
assumptions = at.get_assumption_literals(control)
cc = CoreComputer(control, assumptions)

mus_generator = cc.get_multiple_minimal()
for i, mus in enumerate(mus_generator):
    print(f"MUS {i}:", cc.mus_to_string(mus))

Unsatisfiable Constraints

from clingexplaid.unsat_constraints import UnsatConstraintComputer

PROGRAM = """
a(1..3).
{b(4..6)}.

a(X) :- b(X).

:- a(X), X>=3.
"""

ucc = UnsatConstraintComputer()
ucc.parse_string(PROGRAM)
unsat_constraints = ucc.get_unsat_constraints()

for uc_id, unsat_constraint in unsat_constraints.items():
    print(f"Unsat Constraint {uc_id}:", unsat_constraint)

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

clingexplaid-1.2.1.tar.gz (77.4 kB view details)

Uploaded Source

Built Distribution

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

clingexplaid-1.2.1-py3-none-any.whl (29.9 kB view details)

Uploaded Python 3

File details

Details for the file clingexplaid-1.2.1.tar.gz.

File metadata

  • Download URL: clingexplaid-1.2.1.tar.gz
  • Upload date:
  • Size: 77.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for clingexplaid-1.2.1.tar.gz
Algorithm Hash digest
SHA256 13b616ac5f31a12a439b380e79670a9bea235571d3fa9f048dfd3b63cef908b3
MD5 f5075fc707e247924ec4108193ed5fbb
BLAKE2b-256 ff4d8c6c1f4434809cff7d63f6f11649dddfed45bf16502feb7f640b955023d0

See more details on using hashes here.

Provenance

The following attestation bundles were made for clingexplaid-1.2.1.tar.gz:

Publisher: deploy.yml on potassco/clingo-explaid

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file clingexplaid-1.2.1-py3-none-any.whl.

File metadata

  • Download URL: clingexplaid-1.2.1-py3-none-any.whl
  • Upload date:
  • Size: 29.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for clingexplaid-1.2.1-py3-none-any.whl
Algorithm Hash digest
SHA256 702a14fb0bcbba29e704a2b8ad5d8d4211bf176643acfae07cddcb4a412ffb83
MD5 ba09b942ccf02f3f8cfbb66723551db3
BLAKE2b-256 f96a164df0e1fe5c9fada432ebab059b2b8c4e1baed970622ac527ae82447802

See more details on using hashes here.

Provenance

The following attestation bundles were made for clingexplaid-1.2.1-py3-none-any.whl:

Publisher: deploy.yml on potassco/clingo-explaid

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

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