OMMX adapter for Python-MIP
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.v1.Solution
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:
from ommx_python_mip_adapter import OMMXPythonMIPAdapter
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,
)
# Create `ommx.v1.Solution` from the `mip.Model`
ommx_solution = OMMXPythonMIPAdapter.solve(ommx_instance)
print(ommx_solution)
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
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