flatland.core.env_observation_builder module#

ObservationBuilder objects are objects that can be passed to environments designed for customizability. The ObservationBuilder-derived custom classes implement 2 functions, reset() and get() or get(handle).

  • reset() is called after each environment reset, to allow for pre-computing relevant data.

  • get() is called whenever an observation has to be computed, potentially for each agent independently in case of multi-agent environments.

class flatland.core.env_observation_builder.DummyObservationBuilder[source]#

Bases: ObservationBuilder[bool]

DummyObservationBuilder class which returns dummy observations This is used in the evaluation service

get(handle: int = 0) bool[source]#

Called whenever an observation has to be computed for the env environment, possibly for each agent independently (agent id handle).

Parameters#

handleint, optional

Handle of the agent for which to compute the observation vector.

Returns#

function

An observation structure, specific to the corresponding environment.

reset()[source]#

Called after each environment reset.

class flatland.core.env_observation_builder.ObservationBuilder[source]#

Bases: Generic[ObservationType]

ObservationBuilder base class.

get(handle: int = 0) ObservationType[source]#

Called whenever an observation has to be computed for the env environment, possibly for each agent independently (agent id handle).

Parameters#

handleint, optional

Handle of the agent for which to compute the observation vector.

Returns#

function

An observation structure, specific to the corresponding environment.

get_many(handles: List[int] | None = None) Dict[int, ObservationType][source]#

Called whenever an observation has to be computed for the env environment, for each agent with handle in the handles list.

Parameters#

handleslist of handles, optional

List with the handles of the agents for which to compute the observation vector.

Returns#

function

A dictionary of observation structures, specific to the corresponding environment, with handles from handles as keys.

reset()[source]#

Called after each environment reset.

set_env(env: Environment)[source]#