ph\SrSSKrSSKrSSKJr SSKJrJr SSK J r SSK J r J r \R"SS 55rS S jrS rg) zl Represents a node in a network. Each node has a unique index, its position in the network's list of nodes. N)utils)get_inputs_from_cmget_outputs_from_cm) NodeLabels)marginalize_out tpm_indicesc\rSrSrSrSr\S5r\S5r\S5r \S5r \S5r S r S r S rS rS rSrSrSrg)NodeaA node in a subsystem. Args: tpm (np.ndarray): The TPM of the subsystem. cm (np.ndarray): The CM of the subsystem. index (int): The node's index in the network. state (int): The state of this node. node_labels (|NodeLabels|): Labels for these nodes. Attributes: tpm (np.ndarray): The node TPM is an array with shape ``(2,)*(n + 1)``, where ``n`` is the size of the |Network|. The first ``n`` dimensions correspond to each node in the system. Dimensions corresponding to nodes that provide input to this node are of size 2, while those that do not correspond to inputs are of size 1, so that the TPM has |2^m x 2| elements where |m| is the number of inputs. The last dimension corresponds to the state of the node in the next timestep, so that ``node.tpm[..., 0]`` gives probabilities that the node will be 'OFF' and ``node.tpm[..., 1]`` gives probabilities that the node will be 'ON'. cTX0lX@lXPl[[ URU55Ul[[ URU55UlUSUR4n[[U55UR - n[Xv5nSU- n[R"X/SS9Ul [R"UR5 [!U[R""UR5URUR UR45Ulg)N.r)axis)indexstate node_labels frozensetr_inputsr_outputssetr rnpstacktpmr np_immutablehashnp_hash_hash) selfrcmrrrtpm_on non_inputstpm_offs D/home/james-whalen/.local/lib/python3.13/site-packages/pyphi/node.py__init__ Node.__init__-s  '!!3DJJ!CD !"5djj""EF S$**_% S)*T\\9  4f* 88W-B7 488$5%--"94::<<89 c URS$)z=The TPM of this node containing only the 'OFF' probabilities.).rrrs r#r" Node.tpm_off^xxr&c URS$)z# UHup[TTXT5v M g7fr8)r ).0rrrrrs r# !generate_nodes..s(?%=\Uc2u[99%=s )rrstate_oftuplezip)rr network_stateindicesr node_states`` ` r#generate_nodesresD w/ 7J ?%(%=? ??r&cv[R"URVs/sHnSPM sn5nX -$s snf)a Broadcast a node TPM over the full network. This is different from broadcasting the TPM of a full system since the last dimension (containing the state of the node) contains only the probability of *this* node being on, rather than the probabilities for each node. )ronesshape)rnodeucs r#expand_node_tpmrls1  * ! * +B 8O+s 6r8)rV functoolsnumpyrr connectivityrrlabelsrrrr total_orderingr rerlrYr&r#rssK  A- CCCL?0r&