update all test scripts

tests/neurax_vs_neuron/test_branch.py

@@ -60,10 +60,11 @@ def _run_neurax(i_delay, i_dur, i_amp, dt, t_max):
     branch.set_states("n", 0.3644787002343737)
     branch.set_states("voltages", -62.0)
 
-    stims = [nx.Stimulus(0, 0, 0.0, nx.step_current(i_delay, i_dur, i_amp, time_vec))]
-    recs = [nx.Recording(0, 0, 0.0), nx.Recording(0, 0, 1.0)]
-
-    voltages = nx.integrate(branch, stims, recs, delta_t=dt)
+    branch.comp(0.0).stimulate(nx.step_current(i_delay, i_dur, i_amp, time_vec))
+    branch.comp(0.0).record()
+    branch.comp(1.0).record()
+
+    voltages = nx.integrate(branch, delta_t=dt)
 
     return voltages
 
@@ -191,14 +192,12 @@ def _neurax_complex(i_delay, i_dur, i_amp, dt, t_max, diams):
     branch = branch.initialize()
 
     # 0.02 is fine here because nseg=8 for NEURON, but nseg=16 for neurax.
-    stims = [nx.Stimulus(0, 0, 0.02, nx.step_current(i_delay, i_dur, i_amp, time_vec))]
-    recs = [
-        nx.Recording(0, 0, 0.02),
-        nx.Recording(0, 0, 0.52),
-        nx.Recording(0, 0, 0.98),
-    ]
+    branch.comp(0.02).stimulate(nx.step_current(i_delay, i_dur, i_amp, time_vec))
+    branch.comp(0.02).record()
+    branch.comp(0.52).record()
+    branch.comp(0.98).record()
 
-    s = nx.integrate(branch, stims, recs, delta_t=dt, tridiag_solver="thomas")
+    s = nx.integrate(branch, delta_t=dt, tridiag_solver="thomas")
     return s
 
 

tests/neurax_vs_neuron/test_cell.py

@@ -55,10 +55,12 @@ def _run_neurax(i_delay, i_dur, i_amp, dt, t_max):
     cell.set_states("n", 0.3644787002343737)
     cell.set_states("voltages", -62.0)
 
-    stims = [nx.Stimulus(0, 0, 0.0, nx.step_current(i_delay, i_dur, i_amp, time_vec))]
-    recs = [nx.Recording(0, 0, 0.0), nx.Recording(0, 1, 1.0), nx.Recording(0, 2, 1.0)]
-
-    voltages = nx.integrate(cell, stims, recs, delta_t=dt)
+    cell.branch(0).comp(0.0).stimulate(nx.step_current(i_delay, i_dur, i_amp, time_vec))
+    cell.branch(0).comp(0.0).record()
+    cell.branch(1).comp(1.0).record()
+    cell.branch(2).comp(1.0).record()
+
+    voltages = nx.integrate(cell, delta_t=dt)
     return voltages
 
 

tests/neurax_vs_neuron/test_comp.py

@@ -29,7 +29,7 @@ def test_similarity():
     t_max = 10.0  # ms
 
     voltages_neurax = _run_neurax(i_delay, i_dur, i_amp, dt, t_max)
-    voltages_neuron = _run_neurax(i_delay, i_dur, i_amp, dt, t_max)
+    voltages_neuron = _run_neuron(i_delay, i_dur, i_amp, dt, t_max)
 
     assert np.mean(np.abs(voltages_neurax - voltages_neuron)) < 1.0
 
@@ -51,14 +51,14 @@ def _run_neurax(i_delay, i_dur, i_amp, dt, t_max):
     comp.set_states("n", 0.3644787002343737)
     comp.set_states("voltages", -62.0)
 
-    stims = [nx.Stimulus(0, 0, 0.0, nx.step_current(i_delay, i_dur, i_amp, time_vec))]
-    recs = [nx.Recording(0, 0, 0.0)]
+    comp.stimulate(nx.step_current(i_delay, i_dur, i_amp, time_vec))
+    comp.record()
 
-    voltages = nx.integrate(comp, stims, recs, delta_t=dt)
+    voltages = nx.integrate(comp, delta_t=dt)
     return voltages
 
 
-def _run_neurax(i_delay, i_dur, i_amp, dt, t_max):
+def _run_neuron(i_delay, i_dur, i_amp, dt, t_max):
     h.dt = dt
 
     for sec in h.allsec():

tests/test_cell_matches_branch.py

@@ -22,13 +22,11 @@ def _run_long_branch(time_vec):
     branch.comp("all").make_trainable("radius", 1.0)
     params = branch.get_parameters()
 
-    stims = [
-        nx.Stimulus(0, 0, 0.0, nx.step_current(0.5, 5.0, 0.1, time_vec)),
-    ]
-    recs = [nx.Recording(0, 0, 0.0)]
+    branch.comp(0.0).record()
+    branch.comp(0.0).stimulate(nx.step_current(0.5, 5.0, 0.1, time_vec))
 
     def loss(params):
-        s = nx.integrate(branch, stims, recs, params=params)
+        s = nx.integrate(branch, params=params)
         return s[0, -1]
 
     jitted_loss_grad = jit(value_and_grad(loss))
@@ -49,13 +47,11 @@ def _run_short_branches(time_vec):
     cell.branch("all").comp("all").make_trainable("radius", 1.0)
     params = cell.get_parameters()
 
-    stims = [
-        nx.Stimulus(0, 0, 0.0, nx.step_current(0.5, 5.0, 0.1, time_vec)),
-    ]
-    recs = [nx.Recording(0, 0, 0.0)]
+    cell.branch(0).comp(0.0).record()
+    cell.branch(0).comp(0.0).stimulate(nx.step_current(0.5, 5.0, 0.1, time_vec))
 
     def loss(params):
-        s = nx.integrate(cell, stims, recs, params=params)
+        s = nx.integrate(cell, params=params)
         return s[0, -1]
 
     jitted_loss_grad = jit(value_and_grad(loss))

tests/test_swc.py

@@ -160,10 +160,11 @@ def test_swc_voltages():
     cell.set_states("h", 0.4889)
     cell.set_states("n", 0.3644787)
 
-    stims = [nx.Stimulus(0, 1, 0.05, nx.step_current(i_delay, i_dur, i_amp, time_vec))]
-    recs = [nx.Recording(0, i, 0.05) for i in trunk_inds + tuft_inds + basal_inds]
-
-    voltages_neurax = nx.integrate(cell, stims, recs, delta_t=dt)
+    cell.branch(1).comp(0.05).stimulate(nx.step_current(i_delay, i_dur, i_amp, time_vec))
+    for i in trunk_inds + tuft_inds + basal_inds:
+        cell.branch(i).comp(0.05).record()
+
+    voltages_neurax = nx.integrate(cell, delta_t=dt)
 
     ################### NEURON #################
     stim = h.IClamp(h.soma[0](0.1))