[CalendarServer-changes] [15109] CalendarServer/branches/users/sredmond/clientsim/contrib/ performance/loadtest

[source_changes at macosforge.org]

Revision: 15109
          http://trac.calendarserver.org//changeset/15109
Author:   sredmond at apple.com
Date:     2015-09-04 16:26:25 -0700 (Fri, 04 Sep 2015)
Log Message:
-----------
Nope - forgot to add files - silly SVN

Added Paths:
-----------
    CalendarServer/branches/users/sredmond/clientsim/contrib/performance/loadtest/advanced-behaviors.py
    CalendarServer/branches/users/sredmond/clientsim/contrib/performance/loadtest/sandbox.py

Added: CalendarServer/branches/users/sredmond/clientsim/contrib/performance/loadtest/advanced-behaviors.py
===================================================================
--- CalendarServer/branches/users/sredmond/clientsim/contrib/performance/loadtest/advanced-behaviors.py	                        (rev 0)
+++ CalendarServer/branches/users/sredmond/clientsim/contrib/performance/loadtest/advanced-behaviors.py	2015-09-04 23:26:25 UTC (rev 15109)
@@ -0,0 +1,4 @@
+# 
+
+# Bulk delete tasks
+# Create an event with a ton of crap in it already
\ No newline at end of file

Added: CalendarServer/branches/users/sredmond/clientsim/contrib/performance/loadtest/sandbox.py
===================================================================
--- CalendarServer/branches/users/sredmond/clientsim/contrib/performance/loadtest/sandbox.py	                        (rev 0)
+++ CalendarServer/branches/users/sredmond/clientsim/contrib/performance/loadtest/sandbox.py	2015-09-04 23:26:25 UTC (rev 15109)
@@ -0,0 +1,33 @@
+import numpy as np
+from scipy.optimize import curve_fit
+from scipy import stats
+
+
+values = [(0,16704),(1,36939),(2,13483),(3,6779),(4,4325),(5,2803),(6,2088),(7,1697),(8,1283),(9,976),(10,829),(11,623),(12,512),(13,449),(14,368),(15,300),(16,257),(17,236),(18,238),(19,181),(20,174),(21,171),(22,145),(23,122),(24,104),(25,105),(26,85),(27,66),(28,56),(29,58),(30,58),(31,64),(32,81),(33,37),(34,45),(35,37),(36,33),(37,35),(38,36),(39,17),(40,22),(41,19),(42,16),(43,32),(44,20),(45,15),(46,18),(47,11),(48,8),(49,24),(50,10),(51,22),(52,12),(53,12),(54,12),(55,16),(56,17),(57,12),(58,9),(59,6),(60,2),(61,7),(62,9),(63,5),(64,9),(65,15),(66,10),(67,4),(68,3),(69,4),(70,5),(71,13),(72,5),(73,4),(74,2),(75,5),(76,7),(77,6),(78,4),(79,3),(80,2),(81,2),(82,1),(84,3),(85,2),(86,1),(90,4),(91,1),(92,3),(93,1),(94,3),(95,1),(96,4),(97,2),(98,1),(100,2),(101,1),(104,1),(105,3),(106,1),(108,3),(109,1),(110,1),(113,1),(114,2),(115,2),(116,10),(117,1),(118,1),(119,1)]
+
+def toDistribution(values):
+    """
+    Converts an array of (x,y) pairs to a distribution object
+    """
+    xdata, ydata = map(np.array(zip(*values)))
+
+    popt, pcov = curve_fit(normalPDF, xdata, ydata)
+    return popt, pcov
+
+
+def normalPDF(xdata, mu, sigma):
+    rv = stats.norm(mu, sigma)
+    return rv.pdf(xdata)
+
+def lognormPDF(xdata, mu, sigma):
+    """
+    If log(x) is normally distributed with mean mu and variance sigma**2
+    then x is log-normally distributed with shape parameter sigma and scale parameter exp(mu).
+    """
+    rv = stats.lognorm(sigma, 0, np.exp(mu))
+    return rv.pdf(xdata)
+
+line = np.linspace(1, 10, 100)
+realnorm = lognormPDF(line, 1, 3)
+
+popt, pcov = toDistribution(np.array(zip(line, realnorm)))
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