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from neuron import h, coreneuron
pc = h.ParallelContext()
def model():
s = h.Section()
s.insert("ba0")
s.insert("ba1")
return s
def run(m):
r = []
pc.set_maxstep(10)
h.finitialize()
r.append(result(m))
pc.psolve(h.dt)
r.append(result(m))
return r
def result(m):
r = {}
seg = m(0.5)
for mech in [seg.ba0, seg.ba1]:
for rv in mech:
r[rv.name()] = rv[0]
return r
std = [
{
"bi_ba0": 0.0,
"i_ba0": 1.0,
"ai_ba0": 2.0,
"bb_ba0": 3.0,
"b_ba0": -1.0,
"pval_ba0": -1.0,
"as_ba0": -1.0,
"bs_ba0": 4.0,
"bit_ba0": 0.0,
"it_ba0": 0.0,
"ait_ba0": 0.0,
"bbt_ba0": 0.0,
"bt_ba0": -1.0,
"pvalt_ba0": -1.0,
"ast_ba0": -1.0,
"bst_ba0": 0.0,
"icur_ba1": 0.0,
"bi_ba1": 0.0,
"i_ba1": 1.0,
"ai_ba1": 2.0,
"bb_ba1": 3.0,
"b_ba1": 5.0,
"pval_ba1": -1.0,
"as_ba1": -1.0,
"bs_ba1": 6.0,
"bit_ba1": 0.0,
"it_ba1": 0.0,
"ait_ba1": 0.0,
"bbt_ba1": 0.0,
"bt_ba1": 0.0,
"pvalt_ba1": -1.0,
"ast_ba1": -1.0,
"bst_ba1": 0.0,
"s_ba1": 0.0,
},
{
"bi_ba0": 0.0,
"i_ba0": 1.0,
"ai_ba0": 2.0,
"bb_ba0": 5.0,
"b_ba0": 7.0,
"pval_ba0": 6.0,
"as_ba0": 8.0,
"bs_ba0": 9.0,
"bit_ba0": 0.0,
"it_ba0": 0.0,
"ait_ba0": 0.0,
"bbt_ba0": 0.0125,
"bt_ba0": 0.025,
"pvalt_ba0": 0.025,
"ast_ba0": 0.025,
"bst_ba0": 0.025,
"icur_ba1": 0.0,
"bi_ba1": 0.0,
"i_ba1": 1.0,
"ai_ba1": 2.0,
"bb_ba1": 7.0,
"b_ba1": 9.0,
"pval_ba1": 10.0,
"as_ba1": 11.0,
"bs_ba1": 12.0,
"bit_ba1": 0.0,
"it_ba1": 0.0,
"ait_ba1": 0.0,
"bbt_ba1": 0.0125,
"bt_ba1": 0.0125,
"pvalt_ba1": 0.025,
"ast_ba1": 0.025,
"bst_ba1": 0.025,
"s_ba1": 0.25,
},
]
# to make a new std copy output of following to std = ... above and run black.
def mk_std():
m = model()
r = run(m)
print(r)
def cmp(r, s):
if r != s:
print("standard", s)
print("result", r)
assert r == s
def test_ba():
m = model()
r = run(m)
cmp(r, std)
coreneuron.enable = True
h.CVode().cache_efficient(1)
r = run(m)
cmp(r, std)
if __name__ == "__main__":
test_ba()
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