# WorkflowGraph

class `openff.evaluator.workflow.``WorkflowGraph`

  A hierarchical structure for storing and submitting the workflows which will estimate a set of physical properties..

  `__init__`()

    Initialize self. See help(type(self)) for accurate signature.

  Methods

  `__init__`() | Initialize self.
  `add_workflows`(*workflows) | Insert a set of workflows into the workflow graph.
  `execute`([root_directory, …]) | Executes the workflow graph.

  Attributes

  `protocols` | The protocols in this graph.
  `root_protocols` | The ids of the protocols in the group which do not take input from the other grouped protocols.

  property `protocols`

    The protocols in this graph.

    Type

      dict of str and Protocol

  property `root_protocols`

    The ids of the protocols in the group which do not take input from the other grouped protocols.

    Type

      list of str

  `add_workflows`(*workflows)

    Insert a set of workflows into the workflow graph.

    Parameters

      workflow (Workflow) – The workflow to insert.

  `execute`(root_directory='', calculation_backend=None, compute_resources=None)

    Executes the workflow graph.

    Parameters

      - root_directory (str) – The directory to execute the graph in.

      - calculation_backend (CalculationBackend , optional.) – The backend to execute the graph on. This parameter is mutually exclusive with compute_resources.

      - compute_resources (CalculationBackend , optional.) – The compute resources to run using. If None and no calculation_backend is specified, the workflow will be executed on a single CPU thread. This parameter is mutually exclusive with calculation_backend.

    Returns

      The results of executing the graph. If a calculation_backend is specified, these results will be wrapped in a Future.

    Return type

      list of WorkflowResult or list of Future of WorkflowResult