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Miscellaneous
-------------
.. data:: 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.
.. code::
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.
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