Add WORKER_POOL environmental option to facilitate pysawsim.manager benchmarking.

[sawsim.git] / pysawsim / test / bell_rate.py

diff --git a/pysawsim/test/bell_rate.py b/pysawsim/test/bell_rate.py
index f54243368dd7cf0d8de6e13ad726fbfe4faffda7..fdbec6fd3bfd5a83a692595a1696330a2d6736e4 100644 (file)
--- a/pysawsim/test/bell_rate.py
+++ b/pysawsim/test/bell_rate.py
@@ -28,7 +28,7 @@ Analytically, with a spring constant
 .. math:: k = df/dx
 
 and a pulling velocity
-
+unfolindg
 .. math:: v = dx/dt
 
 we have a loading rate
@@ -148,7 +148,7 @@ class GumbelModelFitter (HistogramModelFitter):
 
 def bell_rate(sawsim_runner, num_domains=1, unfolding_rate=1,
               unfolding_distance=1, temperature=1/kB, spring_constant=1,
-              velocity=1, N=100):
+              velocity=1, N=200):
     loading_rate = float(spring_constant * velocity)
     rho = kB * temperature / unfolding_distance
     alpha = rho * log(loading_rate / (unfolding_rate * rho))