Miscellaneous
-
float_epsilon
- Syntax:
h.float_epsilon = 1e-11
- Description:
The default value is 1e-11
Allows somewhat safer NEURON logical comparisons and integer truncation for floating point numbers. Most NEURON comparisons are treated as true if they are within float_epsilon of being true. eg.
from neuron import h h(""" proc count_to_1() {for (i = 0; i < 1; i += 0.1) $o1.__call__(i)} """) def print_i(i): print('%3g %g' % (i, int(10*i))) rv = h.count_to_1(print_i) h.float_epsilon = 0 # two bugs due to roundoff rv = h.count_to_1(print_i)
Warning
This has no effect on Python comparisons, which is why the example uses a HOC procedure.
Warning
I certainly haven’t gotten every floating comparison in the program to use
float_epsilon
but I have most of them including all HOC interpreter logical operations, int, array indices, and Vector logic methods.