These scripts can be used to visualise debug files, written when the PTP-like algorithm
is compiled with TSYNC_DEBUG defined. The files are located in the guest machine:
s-cid*.txt - For each offset calculation: host and guest clocks and calculated offset.
res-cid*.txt - For each tracing session: all calculated clock offsets.
tsync_hist.py plots a histogram, using data from a s-cid*.txt file:
"python tsync_hist.py s-cid2_1.txt"
tsync_res.py plots a line, using data from res-cid*.txt file:
"python tsync_res.py res-cid2.txt"
Signed-off-by: Tzvetomir Stoyanov (VMware) <tz.stoyanov@xxxxxxxxx>
---
scripts/debug/tsync_hist.py | 57 +++++++++++++++++++++++++++++++++++++
scripts/debug/tsync_readme | 12 ++++++++
scripts/debug/tsync_res.py | 46 ++++++++++++++++++++++++++++++
3 files changed, 115 insertions(+)
create mode 100644 scripts/debug/tsync_hist.py
create mode 100644 scripts/debug/tsync_readme
create mode 100644 scripts/debug/tsync_res.py
diff --git a/scripts/debug/tsync_hist.py b/scripts/debug/tsync_hist.py
new file mode 100644
index 00000000..819d1e8f
--- /dev/null
+++ b/scripts/debug/tsync_hist.py
@@ -0,0 +1,57 @@
+# SPDX-License-Identifier: GPL-2.0
+#
+# Copyright (C) 2019, VMware Inc, Tzvetomir Stoyanov <tz.stoyanov@xxxxxxxxx>
+# Copyright (C) 2019, VMware Inc, Yordan Karadzhov <ykaradzhov@xxxxxxxxxx>
+
+
+import matplotlib.pyplot as plt
+import matplotlib.lines as mlines
+import numpy as np
+import sys
+
+def newline(p1, p2):
+ ax = plt.gca()
+ xmin, xmax = ax.get_xbound()
+
+ if(p2[0] == p1[0]):
+ xmin = xmax = p1[0]
+ ymin, ymax = ax.get_ybound()
+ else:
+ ymax = p1[1]+(p2[1]-p1[1])/(p2[0]-p1[0])*(xmax-p1[0])
+ ymin = p1[1]+(p2[1]-p1[1])/(p2[0]-p1[0])*(xmin-p1[0])
+
+ l = mlines.Line2D([xmin,xmax], [ymin,ymax], color='red')
+ ax.add_line(l)
+ return l
+
+
+data = np.loadtxt(fname = sys.argv[1])
+selected_ts = data[-1, 1]
+selected_ofs = data[-1, 0]
+data = data[:-1,:]
+
+x = data[:, 1] - data[:, 0]
+
+mean = x.mean()
+std = x.std()
+
+num_bins = 500
+min = x.min() #+ .4 * (x.max() - x.min())
+max = x.max() #- .4 * (x.max() - x.min())
+bins = np.linspace(min, max, num_bins, endpoint = False, dtype=int)
+
+fig, ax = plt.subplots()
+
+# the histogram of the data
+n, bins, patches = ax.hist(x, bins, histtype=u'step');
+
+ax.set_xlabel('clock offset [$\mu$s]')
+ax.set_ylabel('entries')
+ax.set_title("$\sigma$=%i" % std)
+
+x1, y1 = [selected_ofs, min], [selected_ofs, max]
+newline(x1, y1)
+
+# Tweak spacing to prevent clipping of ylabel
+fig.tight_layout()
+plt.show()
diff --git a/scripts/debug/tsync_readme b/scripts/debug/tsync_readme
new file mode 100644
index 00000000..f3ebb25d
--- /dev/null
+++ b/scripts/debug/tsync_readme
@@ -0,0 +1,12 @@
+PTP-like algorithm debug
+========================
+
+tsync_*.py scripts can be used to visualise debug files, written when the PTP-like algorithm
+is compiled with TSYNC_DEBUG defined. The files are located in the guest machine:
+ s-cid*.txt - For each offset calculation: host and guest clocks and calculated offset.
+ res-cid*.txt - For each tracing session: all calculated clock offsets.
+
+tsync_hist.py plots a histogram, using data from a s-cid*.txt file:
+ "python tsync_hist.py s-cid2_1.txt"
+tsync_res.py plots a line, using data from res-cid*.txt file:
+ "python tsync_res.py res-cid2.txt"
diff --git a/scripts/debug/tsync_res.py b/scripts/debug/tsync_res.py
new file mode 100644
index 00000000..7d109863
--- /dev/null
+++ b/scripts/debug/tsync_res.py
@@ -0,0 +1,46 @@
+# SPDX-License-Identifier: GPL-2.0
+#
+# Copyright (C) 2019, VMware Inc, Tzvetomir Stoyanov <tz.stoyanov@xxxxxxxxx>
+# Copyright (C) 2019, VMware Inc, Yordan Karadzhov <ykaradzhov@xxxxxxxxxx>
+
+
+import matplotlib.pyplot as plt
+import matplotlib.lines as mlines
+import numpy as np
+import sys
+
+def newline(p1, p2):
+ ax = plt.gca()
+ xmin, xmax = ax.get_xbound()
+
+ if(p2[0] == p1[0]):
+ xmin = xmax = p1[0]
+ ymin, ymax = ax.get_ybound()
+ else:
+ ymax = p1[1]+(p2[1]-p1[1])/(p2[0]-p1[0])*(xmax-p1[0])
+ ymin = p1[1]+(p2[1]-p1[1])/(p2[0]-p1[0])*(xmin-p1[0])
+
+ l = mlines.Line2D([xmin,xmax], [ymin,ymax], color='red')
+ ax.add_line(l)
+ return l
+
+data = np.loadtxt(fname = sys.argv[1])
+x = data[:, 0]
+y = data[:, 1]
+
+fig, ax = plt.subplots()
+
+ax.set_xlabel('samples (t)')
+ax.set_ylabel('clock offset')
+ax.set_title("$\delta$=%i ns" % (max(y) - min(y)))
+
+l = mlines.Line2D(x, y)
+ax.add_line(l)
+ax.set_xlim(min(x), max(x))
+ax.set_ylim(min(y), max(y) )
+
+print(min(y), max(y), max(y) - min(y))
+
+# Tweak spacing to prevent clipping of ylabel
+fig.tight_layout()
+plt.show()
--
2.29.2
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