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Add title to figures

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This commit is contained in:
augustin64 2024-06-05 15:57:09 +02:00
parent 5a77e17078
commit f7dfbe5ead
1 changed files with 24 additions and 26 deletions
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50
cache_utils/analyse_csv.py
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@ -52,6 +52,10 @@ def convert8(x):
return np.array(int(x, base=16)).astype(np.int64) return np.array(int(x, base=16)).astype(np.int64)
# return np.int8(int(x, base=16)) # return np.int8(int(x, base=16))
if len(sys.argv) != 2:
print(f"Usage: {sys.argv[0]} <file>")
sys.exit(1)
assert os.path.exists(sys.argv[1] + ".slices.csv") assert os.path.exists(sys.argv[1] + ".slices.csv")
assert os.path.exists(sys.argv[1] + ".cores.csv") assert os.path.exists(sys.argv[1] + ".cores.csv")
assert os.path.exists(sys.argv[1] + "-results_lite.csv.bz2") assert os.path.exists(sys.argv[1] + "-results_lite.csv.bz2")
@ -125,14 +129,14 @@ slice_remap = lambda h: slice_mapping["slice_group"].iloc[h]
df["slice_group"] = df["hash"].apply(slice_remap) df["slice_group"] = df["hash"].apply(slice_remap)
print(df.columns) #print(df.columns)
#df["Hash"] = df["Addr"].apply(lambda x: (x >> 15)&0x3) #df["Hash"] = df["Addr"].apply(lambda x: (x >> 15)&0x3)
addresses = df["address"].unique() addresses = df["address"].unique()
print(addresses) #print(addresses)
print(*[bin(a) for a in addresses], sep='\n') #print(*[bin(a) for a in addresses], sep='\n')
print(df.head()) #print(df.head())
min_time = df["time"].min() min_time = df["time"].min()
max_time = df["time"].max() max_time = df["time"].max()
@ -152,36 +156,32 @@ df_main_core_0 = df[df["main_core"] == 0]
colours = ["b", "r", "g", "y"] colours = ["b", "r", "g", "y"]
def custom_hist(x, *y, **kwargs): def custom_hist(x_axis, *values, **kwargs):
for (i, yi) in enumerate(y): if "title" in kwargs:
plt.title(kwargs["title"])
del kwargs["title"]
for (i, yi) in enumerate(values):
kwargs["color"] = colours[i] kwargs["color"] = colours[i]
sns.distplot(x, range(graph_lower, graph_upper), hist_kws={"weights": yi, "histtype":"step"}, kde=False, **kwargs) hist = sns.histplot(x=x_axis, bins=range(graph_lower, graph_upper), weights=yi, stat="count", multiple="stack", kde=False, shrink=3, **kwargs)
custom_hist(df["time"], df["clflush_miss_n"], df["clflush_remote_hit"]) custom_hist(df["time"], df["clflush_miss_n"], df["clflush_remote_hit"], title="miss v. hit")
#tikzplotlib.save("fig-hist-all.tex")#, axis_width=r'0.175\textwidth', axis_height=r'0.25\textwidth') #tikzplotlib.save("fig-hist-all.tex")#, axis_width=r'0.175\textwidth', axis_height=r'0.25\textwidth')
plt.show() plt.show()
attacker = 2 def show_specific_position(attacker, victim, slice):
victim = 7 df_ax_vx_sx = df[(df["hash"] == slice) & (df["main_core"] == attacker) & (df["helper_core"] == victim)]
slice = 14
df_ax_vx_sx = df[(df["hash"] == slice) & (df["main_core"] == attacker) & (df["helper_core"] == victim)] custom_hist(df_ax_vx_sx["time"], df_ax_vx_sx["clflush_miss_n"], df_ax_vx_sx["clflush_remote_hit"], title=f"A{attacker} V{victim} S{slice}")
#tikzplotlib.save("fig-hist-good-A{}V{}S{}.tex".format(attacker,victim,slice))#, axis_width=r'0.175\textwidth', axis_height=r'0.25\textwidth')
plt.show()
custom_hist(df_ax_vx_sx["time"], df_ax_vx_sx["clflush_miss_n"], df_ax_vx_sx["clflush_remote_hit"]) show_specific_position(3, 2, 3)
#tikzplotlib.save("fig-hist-good-A{}V{}S{}.tex".format(attacker,victim,slice))#, axis_width=r'0.175\textwidth', axis_height=r'0.25\textwidth') #show_specific_position(2, 7, 14)
plt.show() #show_specific_position(9, 4, 8)
attacker = 9
victim = 4
slice = 8
df_ax_vx_sx = df[(df["hash"] == slice) & (df["main_core"] == attacker) & (df["helper_core"] == victim)]
custom_hist(df_ax_vx_sx["time"], df_ax_vx_sx["clflush_miss_n"], df_ax_vx_sx["clflush_remote_hit"])
#tikzplotlib.save("fig-hist-bad-A{}V{}S{}.tex".format(attacker,victim,slice))#, axis_width=r'0.175\textwidth', axis_height=r'0.25\textwidth')
plt.show()
# Fix np.darray is unhashable # Fix np.darray is unhashable
df_main_core_0.loc[:, ('hash',)] = df_main_core_0['hash'].apply(dict_to_json) df_main_core_0.loc[:, ('hash',)] = df_main_core_0['hash'].apply(dict_to_json)
@ -249,5 +249,3 @@ plt.show()
# test = pd.DataFrame({"value" : [0, 5], "weight": [5, 1]}) # test = pd.DataFrame({"value" : [0, 5], "weight": [5, 1]})
# plt.figure() # plt.figure()
# sns.distplot(test["value"], hist_kws={"weights": test["weight"]}, kde=False) # sns.distplot(test["value"], hist_kws={"weights": test["weight"]}, kde=False)
sys.exit(0)