strangeworks-optimization-models 0.1.63

Pydantic models for strangeworks optimization SDK and application

Strangeworks-Optimization-Models

Pydantic models for use with Strangeworks Optimization API

• StrangeworksModel is an abstract base class for all Strangeworks optimization models.

These are all in the strangeworks_optimization_models module.

Problem Models

In problem_models we have data structures representing the problems to be solved. these take the form

• Model is the native model used outside strangeowrks
• Model type is an enum of the types of native models
• StrangeworksModelType is an enum that defines the types of models available. These include:
  • BinaryQuadraticModel
  • ConstrainedQuadraticModel
  • DiscreteQuadraticModel
  • JiJProblem
  • AquilaModel
  • QuboDict
  • MPSFile
  • HitachiModel
• Each model has its own class, such as MPSFile, QuboDict, AquilaNDArray, and HitachiModelList. These classes contain the data for each model.

Solver Models

Ways to specify solvers. Right now they are all basically provider.solver

Solution Models

In solution_models we have data structures representing the solutions to the problems. These take the form:

• Solution is the native solution used outside strangeworks
• Solution type is an enum of the types of native solutions

The solution models also include methods for converting the solution to a string and from a string, similar to the problem models.