Separate analyze Python application and test latency in a new folder.

rt_analyzer/analyze.py

+f = open("digital.csv", "r")
+
+# assume it's 0 by default even if in measurement file it can start with 1
+# then we simple loose few records but that's acceptable.
+last_channel0_value = 0
+last_channel1_value = 0
+
+last_channel0_timestamp = 0.0
+last_channel1_timestamp = 0.0
+
+# keep list of deltas between state change ( 0 -> 1, 1 -> 0)
+timestamp_channel0_delta_list = []
+timestamp_channel1_delta_list = []
+
+for line in  f.readlines()[1:4000]:
+    timestamp, channel0, channel1 = line.split(",")
+    timestamp = float(timestamp)
+    channel0 = int(channel0)
+    channel1 = int(channel1)
+    #print timestamp, channel0, channel1
+
+    # first time init (for very first record line)
+    if timestamp == 0.0:
+        last_channel0_value = channel0
+        last_channel1_value = channel1
+
+    # a new measurement if when channel{0, 1} value changes from last know one
+    if channel0 != last_channel0_value:
+        # calculate delta
+        if last_channel0_timestamp == 0.0:
+            # first time init
+            delta = 0
+        else:
+            delta = timestamp - last_channel0_timestamp
+        last_channel0_timestamp = timestamp
+        # but always add delta
+        timestamp_channel0_delta_list.append(delta)
+
+    if channel1 != last_channel1_value:
+        # calculate delta
+        if last_channel1_timestamp == 0.0:
+            # first time init
+            delta = 0
+        else:
+            delta = timestamp - last_channel1_timestamp
+        last_channel1_timestamp = timestamp
+        # but always add delta
+        timestamp_channel1_delta_list.append(delta)
+
+    # update for next cycle
+    last_channel0_value = channel0
+    last_channel1_value = channel1
+
+# XXX: find average, mean, standard deviation, etc on these lists of deltas
+
+# convert to nanoseconds
+print "Channel0 deltas (in nanoseconds)", [round(x*1000000, 2) for x in timestamp_channel0_delta_list]
+print "\nChannel1 deltas (in nanoseconds)", [round(x*1000000, 2) for x in timestamp_channel1_delta_list]
+f.close()
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