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Our awards’ night was a great celebration of the fitness industry as a whole and it was great to see so many gyms represented at the event. It was a wonderful evening and it was lovely to share in the celebrations of the winners.” dtype – The dtype of the elements of the space. If this is an integer type, the Box is essentially a discrete space. from gym.spaces import Box , Discrete >>> Dict ({ "position" : Box ( - 1 , 1 , shape = ( 2 ,)), "color" : Discrete ( 3 )}) Dict(color:Discrete(3), position:Box(-1.0, 1.0, (2,), float32)) >>> Dict ( position = Box ( - 1 , 1 , shape = ( 2 ,)), color = Discrete ( 3 )) Dict(color:Discrete(3), position:Box(-1.0, 1.0, (2,), float32)) Parameters :from gym.spaces import Box , Discrete >>> observation_space = Tuple (( Discrete ( 2 ), Box ( - 1 , 1 , shape = ( 2 ,)))) >>> observation_space . sample () (0, array([0.03633198, 0.42370757], dtype=float32)) __init__ ( spaces : Iterable [ Space ], seed : int | Sequence [ int ] | Generator | None = None ) # neogym is our stunning boutique health club that leads with movement, community, and rejuvenation. You will find Technogym® equipment in our state-of-the-art gym; from resistance, cardio, and functional training to Skillbikes plus a varied timetable of fantastic instructor-led fitness and wellness classes to improve your flexibility, strength, and overall wellbeing.

space = Graph ( node_space = Box ( low =- 100 , high = 100 , shape = ( 3 , 4 )), edge_space = Discrete ( 5 )) >>> flatten_space ( space ) Graph(Box(-100.0, 100.0, (12,), float32), Box(0, 1, (5,), int64)) >>> flatten ( space , space . sample ()) in flatten_space ( space ) True Parameters : seed – Optionally, you can use this argument to seed the RNGs of the spaces to ensure reproducible sampling. NotImplementedError – If the space is not defined in gym.spaces. gym.spaces.utils. unflatten ( space : Space [ T ], x : ndarray | Dict | tuple | GraphInstance ) → T # gym.spaces.utils. unflatten ( space : Box | MultiBinary, x : ndarray ) → ndarray gym.spaces.utils. unflatten ( space : Box | MultiBinary, x : ndarray ) → ndarray gym.spaces.utils. unflatten ( space : Discrete, x : ndarray ) → int gym.spaces.utils. unflatten ( space : MultiDiscrete, x : ndarray ) → ndarray gym.spaces.utils. unflatten ( space : Tuple, x : ndarray | tuple ) → tuple gym.spaces.utils. unflatten ( space : Dict, x : ndarray | Dict ) → dict gym.spaces.utils. unflatten ( space : Graph, x : GraphInstance ) → GraphInstance gym.spaces.utils. unflatten ( space : Text, x : ndarray ) → str gym.spaces.utils. unflatten ( space : Sequence, x : tuple ) → tuple CitySpace Fitness is the University’s iconic facility for sports and social activity on City Campus which has a vast array of fantastic services available to students, staff and members of the public throughout the year. nvec – vector of counts of each categorical variable. This will usually be a list of integers. However,shape ( Optional [ Sequence [ int ] ]) – The shape is inferred from the shape of low or high np.ndarray`s with box = Box ( 0.0 , 1.0 , shape = ( 3 , 4 , 5 )) >>> box Box(3, 4, 5) >>> flatten_space ( box ) Box(60,) >>> flatten ( box , box . sample ()) in flatten_space ( box ) True