black format for test/.../*.py

test/coreneuron/test_pointer.py

@@ -17,6 +17,7 @@ def sortspikes(spiketime, gidvec):
 # Set globally so we can ensure the IClamp duration is shorter
 tstop = 1
 
+
 # Passive cell random tree so there is some inhomogeneity of ia and im
 class Cell:
     def __init__(self, id, nsec):
@@ -310,6 +311,7 @@ def cmp_spks(spikes, dir, chkpntdirs):
     with open(os.path.join(dir, "temp"), "w") as f:
         for spike in spikes:
             f.write("{:.8g}\t{}\n".format(spike[0], int(spike[1])))
+
     # sometimes roundoff to %.8g gives different sort.
     def help(cmd, name_in, name_out):
         # `cmd` is some generic utility, which does not need to have a

test/datahandle/test_token.py

@@ -1,5 +1,6 @@
 from neuron import h
 
+
 # model - membrane action potential
 def model():
     s = h.Section()

test/pytest/test_nrntest_thread.py

@@ -2,6 +2,7 @@
 Tests that used to live in the thread/ subdirectory of the
 https://github.com/neuronsimulator/nrntest repository
 """
+
 import os
 import pytest
 from neuron import h

test/pytest_coreneuron/test_hoc_po.py

@@ -166,6 +166,7 @@ def test_2():
 
 # BBSaveState for mixed (hoc and python cells) Ring.
 
+
 # some helpers copied from ../parallel_tests/test_bas.py
 def rmfiles():
     if pc.id() == 0:

test/pytest_coreneuron/test_nrntest_fast.py

@@ -2,6 +2,7 @@
 Tests that used to live in the fast/ subdirectory of the
 https://github.com/neuronsimulator/nrntest repository
 """
+
 import math
 import numpy as np
 import os

test/rxd/ecs/test_ecs_pure_diffusion.py

@@ -29,9 +29,9 @@ def make_model(nx, ny, nz, alpha, lambd, d=1.0, perm=None):
             name="k",
             d=d,
             charge=1,
-            initial=lambda nd: 1
-            if nd.x3d**2 + nd.y3d**2 + nd.z3d**2 < (2 * dx) ** 2
-            else 0,
+            initial=lambda nd: (
+                1 if nd.x3d**2 + nd.y3d**2 + nd.z3d**2 < (2 * dx) ** 2 else 0
+            ),
         )
 
         model = (ecs, k)

test/rxd/hybrid/test_pure_diffusion_hybrid.py

@@ -35,9 +35,11 @@ def ics_diffusion_hybrid(neuron_instance):
     ca = rxd.Species(
         r,
         d=diff_constant,
-        initial=lambda node: 1
-        if (0.8 < node.x and node in dend1) or (node.x < 0.2 and node in dend2)
-        else 0,
+        initial=lambda node: (
+            1
+            if (0.8 < node.x and node in dend1) or (node.x < 0.2 and node in dend2)
+            else 0
+        ),
     )
     model = ([dend1, dend2, dend3], r, ca)
     yield (neuron_instance, model)