diff options
| author | Toni Uhlig <matzeton@googlemail.com> | 2023-11-06 23:49:51 +0100 |
|---|---|---|
| committer | Toni Uhlig <matzeton@googlemail.com> | 2023-11-07 00:02:36 +0100 |
| commit | 5d56288a113aa3aa2e68dbf54f0acde0650bafcb (patch) | |
| tree | bc4e9904feac2a8c9e5f5287774416b1aa3822f9 /examples | |
| parent | 84b12cd02c1f11d134f00b0a066414a677a53719 (diff) | |
Fixed more SonarCloud complaints.
Signed-off-by: Toni Uhlig <matzeton@googlemail.com>
Diffstat (limited to 'examples')
| -rw-r--r-- | examples/c-captured/c-captured.c | 7 | ||||
| -rw-r--r-- | examples/c-notifyd/c-notifyd.c | 2 | ||||
| -rwxr-xr-x | examples/py-machine-learning/keras-autoencoder.py | 3 |
3 files changed, 6 insertions, 6 deletions
diff --git a/examples/c-captured/c-captured.c b/examples/c-captured/c-captured.c index e810f3e70..14457a175 100644 --- a/examples/c-captured/c-captured.c +++ b/examples/c-captured/c-captured.c @@ -666,7 +666,8 @@ static void syslog_event(struct nDPIsrvd_socket * const sock, } if (src_port != NULL && dst_port != NULL) { - size_t src_port_len = 0, dst_port_len = 0; + size_t src_port_len = 0; + size_t dst_port_len = 0; char const * const tmp_src_port_str = TOKEN_GET_VALUE(sock, src_port, &src_port_len); char const * const tmp_dst_port_str = TOKEN_GET_VALUE(sock, dst_port, &dst_port_len); if (tmp_src_port_str != NULL && tmp_dst_port_str != NULL) @@ -938,8 +939,8 @@ static enum nDPIsrvd_callback_return captured_json_callback(struct nDPIsrvd_sock syslog_event(sock, flow, "midstream"); } - if ((flow_user->packets == NULL || flow_user->flow_max_packets == 0 || - utarray_len(flow_user->packets) == 0)) + if (flow_user->packets == NULL || flow_user->flow_max_packets == 0 || + utarray_len(flow_user->packets) == 0) { if (logging_mode != 0) { diff --git a/examples/c-notifyd/c-notifyd.c b/examples/c-notifyd/c-notifyd.c index 837f59ff6..0c9b52f3e 100644 --- a/examples/c-notifyd/c-notifyd.c +++ b/examples/c-notifyd/c-notifyd.c @@ -21,7 +21,7 @@ enum dbus_level static char const * const flow_severities[] = {"Low", "Medium", "High", "Severe", "Critical", "Emergency"}; static char const * const flow_breeds[] = { - "Safe", "Acceptable", "Fun", "Unsafe", "Potentially Dangerous", "Tracker/Ads", "Dangerous", "Unrated", "???"}; + "Safe", "Acceptable", "Fun", "Unsafe", "Potentially Dangerous", "Tracker\\/Ads", "Dangerous", "Unrated", "???"}; static char const * const flow_categories[] = {"Unspecified", "Media", "VPN", diff --git a/examples/py-machine-learning/keras-autoencoder.py b/examples/py-machine-learning/keras-autoencoder.py index 086cf505c..fc3115012 100755 --- a/examples/py-machine-learning/keras-autoencoder.py +++ b/examples/py-machine-learning/keras-autoencoder.py @@ -273,8 +273,7 @@ def plot_worker(shared_shutdown_event, shared_plot_queue): ys2 = [] ys3 = [] ys4 = [] - x = 0 - a = ani.FuncAnimation(fig, plot_animate, fargs=(shared_plot_queue, (ax1, ax2, ax3, ax4), xs, (ys1, ys2, ys3, ys4)), interval=1000, cache_frame_data=False) + ani.FuncAnimation(fig, plot_animate, fargs=(shared_plot_queue, (ax1, ax2, ax3, ax4), xs, (ys1, ys2, ys3, ys4)), interval=1000, cache_frame_data=False) plt.subplots_adjust(left=0.05, right=0.95, top=0.95, bottom=0.05) plt.margins(x=0, y=0) plt.show() |