style(unitproc/../sleepRand.py):Move output spread adj to top

[BK-2020-03.git] / unitproc / python / sleepRand.py

diff --git a/unitproc/python/sleepRand.py b/unitproc/python/sleepRand.py
index 27e98d7d520b0ac511c413145e98814c949ba649..3454d244359baddb01a24a7b3826e141f5978005 100755 (executable)
--- a/unitproc/python/sleepRand.py
+++ b/unitproc/python/sleepRand.py
@@ -1,6 +1,6 @@
 #!/usr/bin/env python3
 # Desc: Pauses a random amount of time. Random distribution is inverse gaussian.
 #!/usr/bin/env python3
 # Desc: Pauses a random amount of time. Random distribution is inverse gaussian.

-# Version: 0.0.2
+# Version: 0.0.3

 # Depends: python 3.7.3
 # Usage: ./sleepRand.py arg1
 # Input: arg1: float seconds (mean of inverse gaussian distribution)
 # Depends: python 3.7.3
 # Usage: ./sleepRand.py arg1
 # Input: arg1: float seconds (mean of inverse gaussian distribution)


@@ -8,6 +8,9 @@
 
 import math, time, random, sys
 
 
 import math, time, random, sys
 

+# Adjustments
+lambdaFactor = 4; # spread factor; inversely proportional to variance
+

 # Define functions
 def randInvGau(mu, lam):
     """Returns random variate of inverse gaussian distribution"""
 # Define functions
 def randInvGau(mu, lam):
     """Returns random variate of inverse gaussian distribution"""


@@ -32,9 +35,6 @@ def randInvGau(mu, lam):
 arg1 = float(sys.argv[1]); # first argument
 desMean = arg1;
 
 arg1 = float(sys.argv[1]); # first argument
 desMean = arg1;
 

-# Configure
-lambdaFactor = 4; # spread factor; inversely proportional to variance
-

 # Calculate delay
 delay = randInvGau(desMean, desMean * lambdaFactor);
 #print('DEBUG:delay:' + str(float(delay)));
 # Calculate delay
 delay = randInvGau(desMean, desMean * lambdaFactor);
 #print('DEBUG:delay:' + str(float(delay)));