An adapter for the Python-MIP from/to OMMX.
Project description
OMMX adaptor for Python-MIP
This package provides an adaptor 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.decision_variables_pb2 import DecisionVariable, Bound
from ommx.v1.instance_pb2 import Instance
from ommx.v1.function_pb2 import Function
from ommx.v1.linear_pb2 import Linear
from ommx.v1.solution_pb2 import SolutionList
ommx_instance = Instance(
decision_variables=[
DecisionVariable(
id=1,
kind=DecisionVariable.KIND_INTEGER,
bound=Bound(lower=0, upper=5),
),
],
objective=Function(
linear=Linear(
terms=[Linear.Term(id=1, coefficient=1)]
),
),
)
ommx_instance_bytes = ommx_instance.SerializeToString()
# Convert from `ommx.v1.Instance` to `mip.Model`
model = adapter.instance_to_model(ommx_instance_bytes)
model.optimize()
# Create `ommx.v1.SolutionList` from Optimized `mip.Model`
ommx_solutions_bytes = adapter.model_to_solution(
model, ommx_instance_bytes
)
print(SolutionList.FromString(ommx_solutions_bytes))
You can get ommx.v1.Instance
from a Python-MIP model as the following:
import mip
import ommx_python_mip_adapter as adapter
from ommx.v1.instance_pb2 import Instance
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_bytes = adapter.model_to_instance(model)
print(Instance.FromString(ommx_instance_bytes))
Reference
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