convert_to_gb, stacked_bar_plot, stacked_bar_plot_mult)
PLOT_ALL = True
output_dir = OUTPUT_DIR + 'psi_comm/'
os.makedirs(output_dir, exist_ok=True)
input_dir = INPUT_DIR + 'psi/'
to_server = 11
from_server = 13
# Setsize ---------------------------------------------------------------------
if False or PLOT_ALL:
name = "butthead_psi_setsize"
input_file = input_dir + f"setsize/{name}2.csv"
d_to = read_data(input_file, 2, to_server)
d_from = read_data(input_file, 2, from_server)
convert_to_gb(d_to)
convert_to_gb(d_from)
minor_xlabels = [
f"{int(i / 10 ** 6)} Mio" for i in sorted(d_to.keys())
if i % 10**6 == 0
]
for i in [3, 5, 7, 9, 11, 13, 15, 17, 19]:
minor_xlabels[i] = ''
xticks = [
i for i, x in enumerate(sorted((d_to.keys())))
if x != 0 and x % 10**6 != 0
]
minor_xticks = [
i for i, _ in enumerate(sorted((d_to.keys()))) if i not in xticks
]
xlabels = [fr"$2^{{ {i} }}$" for i in range(20, 26, 1)]
def comp_bloom_bits(n, p):
m = np.ceil(-n * ln(p) / (ln(2)**2))
return m
def bit_to_gb(b):
return b / 8 / 1000 / 1000 / 1000
# Size
if False or PLOT_ALL:
with plot_settings(half_width=True):
d = read_data(input_dir + f"{name}.csv", 1, 5)
d = convert_to_gb(d)
theo = {}
for x in d:
theo[x] = [bit_to_gb(comp_bloom_bits(x, 10**-20))] * 2
error_plot_mult(
[d, theo],
output_dir + f'size{EXTENSION}',
100000000,
0,
20,
4,
"Capacity [#]",
"Size [GB]",
r"Bloom Filter Size (FP Rate: $1^{{-20}}$, Stored: To Cap., "
r"10 Reps)",
legend=Legend(['Measured', 'Theoretic'], location="upper left"),