Skip to main content

An adapter for the Python-MIP from/to OMMX.

Project description

OMMX adapter for Python-MIP

PyPI - Version

This package provides an adapter for the Python-MIP from/to OMMX

Python-MIP as a solver in OMMX toolchain

sequenceDiagram
    participant U as User
    participant A as Adapter
    participant P as Python-MIP
    U->>A: ommx.v1.Instance
    A->>U: Python-MIP model
    U->>P: Python-MIP model and Parameters for Python-MIP;
    P->>P: Solve with CBC, Gurobi, or other solvers
    P->>U: Optimized model
    U->>A: Optimized model and ommx.v1.Instance
    A->>U: ommx:SolutionList

Python-MIP as a user interface to create OMMX instance

sequenceDiagram
    participant U as User
    participant A as Adapter
    participant O as Other OMMX toolchain
    U->>A: Python-MIP model
    A->>U: ommx.v1.Instance
    U->>O: ommx.v1.Instance and Parameters for other solver
    O->>O: Solve the instance with other solver using other adapter
    O->>U: ommx.v1.Solution

Usage

ommx-python-mip-adapter can be installed from PyPI as follows:

pip install ommx-python-mip-adapter

Python-MIP can be used through ommx-python-mip-adapter by using the following:

import ommx_python_mip_adapter as adapter
from ommx.v1 import Instance, DecisionVariable

x1 = DecisionVariable.integer(1, lower=0, upper=5)
ommx_instance = Instance.from_components(
    decision_variables=[x1],
    objective=x1,
    constraints=[],
    sense=Instance.MINIMIZE,
)

# Convert from `ommx.v1.Instance` to `mip.Model`
model = adapter.instance_to_model(ommx_instance)
model.optimize()
# Create `ommx.v1.State` from Optimized `mip.Model`
ommx_solutions = adapter.model_to_solution(model, ommx_instance)

print(ommx_solutions)

You can get ommx.v1.Instance from a Python-MIP model as the following:

import mip
import ommx_python_mip_adapter as adapter

model = mip.Model()
x1=model.add_var(name="1", var_type=mip.INTEGER, lb=0, ub=5)
x2=model.add_var(name="2", var_type=mip.CONTINUOUS, lb=0, ub=5)
model.objective = - x1 - 2 * x2
model.add_constr(x1 + x2 - 6 <= 0)

ommx_instance = adapter.model_to_instance(model)

print(ommx_instance)

Reference

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

ommx_python_mip_adapter-1.2.0.tar.gz (9.7 kB view details)

Uploaded Source

File details

Details for the file ommx_python_mip_adapter-1.2.0.tar.gz.

File metadata

File hashes

Hashes for ommx_python_mip_adapter-1.2.0.tar.gz
Algorithm Hash digest
SHA256 7852e0a6c6b7ab708cc49c73be2bd145779f488eb9003834cff4bc231671751a
MD5 ca3a7bd9bb03b3322598234b11c5dc58
BLAKE2b-256 a16dca1fab4286a3be8e67c69f03129764b00c63df98a598d65e8db327839bca

See more details on using hashes here.

Supported by

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