20,
"Capacity [#]",
"Query Time [s]",
r"Time for Query (FP Rate: $1^{{-20}}$, Stored: To Cap., "
r"1Bil Queries, "
"10 Reps)",
adjust=(LEFT_ADJUST, RIGHT_ADJUST, TOP_ADJUST, BOTTOM_ADJUST),
xticks=xticks[:],
xlabels=xlabels[:],
x_label_step=2)
# Insertion Time
if False or PLOT_ALL:
with plot_settings(half_width=True):
d = read_data(input_dir + f"{name}.csv", 1, 6)
d = convert_to_minutes(d)
error_plot_mult(
[d],
output_dir + f'insert_time{EXTENSION}',
100000000,
0,
400,
100,
"Capacity [#]",
"Insertion Time [min]",
r"Time for Insertion (FP Rate: $1^{{-20}}$, Stored: To Cap., "
r"10 Reps)",
adjust=(LEFT_ADJUST + 0.02, RIGHT_ADJUST, TOP_ADJUST,
BOTTOM_ADJUST),
xticks=xticks[:],
xlabels=xlabels[:],
# minor_xlabels=minor_xlabels,
# # x_rotation=30
# )
# Latency WITHOUT TLS ---------------------------------------------------------
if False or PLOT_ALL:
with plot_settings(half_width=True):
name = "butthead_psi_latency"
data_list = read_data_mult(input_dir + f"latency/{name}.csv", 2, 10, 7)
for d in data_list.values():
# Remove 2er potencies
del d[2**20]
del d[2**21]
del d[2**22]
del d[2**23]
del d[2**24]
convert_to_minutes(d)
print("Runtime at 300ms: ",
sum(data_list[300][10**7]) / len(data_list[300][10**7]), "min")
latencies = sorted(data_list.keys(), reverse=True)
legend_labels = [f"{i}ms" for i in latencies]
legend_labels[-2] = " 50ms"
legend_labels[-1] = " 0ms"
xticks = list(range(0, 10**7 + 1, 2 * 10**6))
error_plot_mult(
[data_list[i] for i in latencies],
output_dir + f'{name}{EXTENSION}',
2 * 10**6,
0,
5,
1,
"PSI Set Size [#]",