added lots of .py

dioderata/lost_pids.py

@@ -0,0 +1,80 @@
+#!/photonics/home/gac-alvra/.conda/envs/adaq/bin/python
+
+from collections import defaultdict
+import numpy as np
+
+from bstrd import BS, bsstream
+#from zoetrope import aniplot as plt
+#plt.blit = False
+
+
+chname = "SARES11-SPEC125-M1.edge_amplitude"
+ch = BS(chname)
+pids = BS("pid")
+
+nblock = 100
+
+
+def analyse(data):
+    data = np.array(data)
+    delta = np.diff(data)
+    x, y = discrete_histogram(delta)
+    return x, y
+
+def discrete_histogram(data):
+    left_of_first_bin = data.min() - 1/2
+    right_of_last_bin = data.max() + 1/2
+    bins = np.arange(left_of_first_bin, right_of_last_bin+1)
+    hist, edges = np.histogram(data, bins=bins)
+    edges += 1/2
+    edges = edges.astype(int)
+    return edges, hist
+
+
+
+#xs = [1]
+#ys = [0]
+#pd = plt.step([1], [0])
+
+
+i = 0
+seen = []
+accum = defaultdict(int)
+#for counter, _ in zip(plt.show(), bsstream):
+#    print(counter)
+for _ in bsstream:
+    curr = pids.get()
+    seen.append(curr)
+
+    if len(seen) == nblock:
+        res = analyse(seen)
+        for x, y in zip(*res):
+            accum[x] += y
+
+        xs, ys = zip(*accum.items())
+        print(xs)
+        print(ys)
+        print()
+
+        xs = np.array(xs)
+        ys = np.array(ys)
+        one = (xs == 1)
+        other = (xs != 1)
+        one = ys[one].sum()
+        other = ( (xs[other] - 1) * ys[other] ).sum()
+        print(round(other / one * 100, 1), one, other)
+
+#        pd.set(xs, ys)
+
+#        i += 1
+#        if i == 3:
+#            break
+
+        last = seen[-1]
+        seen = [last] # use the last entry of the previous round as new first entry
+
+
+bsstream.stop()
+
+
+