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We use python as our DSL for specifying experiment configuration The module must define one attribute: control_flow => a sts.control_flow.*.ControlModule object. This class takes a SimulationConfig objects as its first parameter. SimulationConfigs can optionally take the following contructor parameters: topology_class => a sts.topology.Topology class (not object!) defining the switches and links topology_params => Comma-delimited list of arguments to pass into the FatTree constructor, specified just as you would type them within the parens. patch_panel_class => a sts.topology.PatchPanel class (not object!) dataplane_trace => a path to a dataplane trace file (e.g. dataplane_traces/ping_pong_same_subnet.trace) violation_persistence_threshold => number of logical time units to observe a violation before we declare that it is persistent switch_init_sleep_seconds => number of seconds to wait for switches to connect to controllers before starting the simulation. Defaults to False (no wait). monkey_patch_select => whether to use STS's custom deterministic select. Requires that the controller is monkey-patched too Config files may also optionally define a function `get_additional_metadata`, that takes no arguments and returns a dictionary storing metadata about the experiment (e.g. the current commit hash of the controller under test).