def generate_num_chunks(k, graph, num_chunks_range, max_edge_weight, min_chunk_size, max_chunk_size):
suffix = "numc.maxe{:d}.minc{:d}.maxc{:d}".format(max_edge_weight, min_chunk_size, max_chunk_size)
inputs = list()
for num_chunks in num_chunks_range:
inputs.append(
(
num_chunks,
testgen.generate_from_topobench_bytes(
graph, num_chunks, max_edge_weight, min_chunk_size, max_chunk_size, k=k
),
)
)
return (suffix, inputs)
def generate_avg_chunk_size(k, graph, num_chunks, max_edge_weight, avg_chunk_size_range, avg_chunk_size_delta):
suffix = "avgc.numc{:d}.maxe{:d}".format(num_chunks, max_edge_weight)
inputs = list()
for avg_chunk_size in avg_chunk_size_range:
inputs.append(
(
avg_chunk_size,
testgen.generate_from_topobench_bytes(
graph,
num_chunks,
max_edge_weight,
avg_chunk_size - avg_chunk_size_delta,
avg_chunk_size + avg_chunk_size_delta,
k=k,
),
)
)
return (suffix, inputs)
