<｜begin▁of▁sentence｜>### Instruction:
Given a bipartite graph generated randomly with 30 nodes in one set, 10 nodes in the other set, and with an edge creation probability of 0.5, can you use the CPM_Bipartite algorithm in cdlib with resolution parameters set to 0.5 for both classes to perform community detection? Additionally, can you obtain a JSON representation of the resultant bipartite clustering?
### Response:
from cdlib import algorithms
import networkx as nx

# Create a bipartite graph
G = nx.algorithms.bipartite.generators.random_graph(30, 10, 0.5)

# Perform community detection using CPM_Bipartite with specified resolution parameters
coms = algorithms.CPM_Bipartite(G, 0.5, resolution_parameter_0=0.5, resolution_parameter_1=0.5, degree_as_node_size=False)

# Generate a JSON representation of the bipartite nodeclustering object
coms_json = coms.to_json()

print(coms_json)
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