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cannot find the implementation of Latent Search and entropy-based edge orientation

Hi @pooyanjamshidi @cjshearer Thank you so much for sharing your findings in the paper and the code to reproduce the results! I am very interested in your research! But, I could not find the the implementation of LatentSearch and entropy-based edge orientation in the resolve_edges method of causal_model.py below. Could you please kindly shed some light? Thanks a lot in advance!

# replace trail and undirected edges with single edges using entropic policy for i in range (len(PAG)): if trail_edge in PAG[i]: PAG[i]=PAG[i].replace(trail_edge, directed_edge) elif undirected_edge in PAG[i]: PAG[i]=PAG[i].replace(undirected_edge, directed_edge) else: continue 
for edge in PAG:
    cur = edge.split(" ")
    if cur[1]==directed_edge:
        node_one = self.colmap[int(cur[0].replace("X", ""))-1]               
        node_two = self.colmap[int(cur[2].replace("X", ""))-1]
        options[node_one][directed_edge].append(node_two)
    elif cur[1]==bi_edge:
        node_one = self.colmap[int(cur[0].replace("X", ""))-1]
        node_two = self.colmap[int(cur[2].replace("X", ""))-1]
        
        options[node_one][bi_edge].append(node_two)
    else: print ("[ERROR]: unexpected edges")

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