schola.core.spaces.discrete.DiscreteSpace

class schola.core.spaces.discrete.DiscreteSpace(n) : Bases: Discrete, UnrealSpace

A Space representing a single discrete value.

Parameters: : n (int) – The number of discrete values in the space. e.g. space is one value in interval [0,n]

n : The number of discrete values in the space.

Type: : int

See also

gymnasium.spaces.Discrete : The gym space object that this class is analogous to.

proto_spaces.DiscreteSpace : The protobuf representation of this space.

Methods


`__init__`(n)	Constructor of `Discrete` space.
`contains`(x)	Return boolean specifying if x is a valid member of this space.
`fill_proto`(msg, value)	Convert a python representation of point in this space to a protobuf message.
`from_jsonable`(sample_n)	Converts a list of json samples to a list of np.int64.
`from_proto`(message)	Create a Space Object from a protobuf representation.
`is_empty_definition`(message)	Returns True iff this space has magnitude 0.
`merge`(*spaces)	Merge multiple DiscreteSpaces into a single space.
`process_data`(msg)	Convert a protobuf message corresponding to a point in this space to a pythonic representation.
`sample`([mask])	Generates a single random sample from this space.
`seed`([seed])	Seed the PRNG of this space and possibly the PRNGs of subspaces.
`to_jsonable`(sample_n)	Converts a list of samples to a list of ints.
`to_normalized`()	Returns a normalized version of the space.

Attributes


`is_np_flattenable`	Checks whether this space can be flattened to a `spaces.Box`.
`np_random`	Lazily seed the PRNG since this is expensive and only needed if sampling from this space.
`shape`	Return the shape of the space as an immutable property.

__init__(n) : Constructor of Discrete space.

This will construct the space ({\text{start}, …, \text{start} + n - 1}).

Parameters: : - n (int) – The number of elements of this space.

seed – Optionally, you can use this argument to seed the RNG that is used to sample from the Dict space.
start (int) – The smallest element of this space.

fill_proto(msg, value) : Convert a python representation of point in this space to a protobuf message. Mutates msg with the result.

Parameters: : - msg (proto_points.FundamentalPoint) – The protobuf message to fill.

classmethod is_empty_definition(message) : Returns True iff this space has magnitude 0.

Parameters: : message (proto_space) – The protobuf message to check for emptiness.

Returns: : True iff the space is empty.

Return type: : bool

classmethod merge(*spaces) : Merge multiple DiscreteSpaces into a single space.

Parameters: : *spaces (List*[Union[DiscreteSpace,* MultiDiscreteSpace]**]) – The spaces to merge.

Returns: : The merged space.

Raises: : TypeError – If any of the spaces are not Discrete or MultiDiscrete.