<｜begin▁of▁sentence｜>### Instruction:
Given a directed acyclic graph with edge set [(0, 1), (0, 3), (1, 2), (3, 2)], can you compute the lowest common ancestor for all pairs of nodes, and for a specific set of pairs such as [(1, 2), (2, 3)] using NetworkX?
### Response:
import networkx as nx

# Create a directed acyclic graph
G = nx.DiGraph()
G.add_edges_from([(0, 1), (0, 3), (1, 2), (3, 2)])

# Compute the lowest common ancestor for all pairs of nodes
lca_all_pairs = dict(nx.all_pairs_lowest_common_ancestor(G))

# Compute the lowest common ancestor for a specific set of pairs
pairs = [(1, 2), (2, 3)]
lca_specific_pairs = dict(nx.all_pairs_lowest_common_ancestor(G, pairs=pairs))

print('All Pairs LCA:\n', lca_all_pairs)
print('Specific Pairs LCA:\n', lca_specific_pairs)
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