fixed exp-syn pytest

Author: Alexander Ororbia

tests/components/synapses/test_exponentialSynapse.py

@@ -1,10 +1,7 @@
 from jax import numpy as jnp, random, jit
-from ngcsimlib.context import Context
 import numpy as np
 np.random.seed(42)
 from ngclearn.components import ExponentialSynapse
-from ngcsimlib.compilers import compile_command, wrap_command
-from numpy.testing import assert_array_equal
 
 from ngcsimlib.compilers.process import Process
 from ngcsimlib.context import Context
@@ -19,13 +16,10 @@ def test_exponentialSynapse1():
     ## excitatory properties
     tau_syn = 2.
     E_rest = 0.
-    ## inhibitory properties
-    #tau_syn = 5.
-    #E_rest = -80.
     # ---- build a single exp-synapse system ----
     with Context(name) as ctx:
         a = ExponentialSynapse(
-            name="a", shape=(1,1), tau_syn=tau_syn, g_syn_bar=2.4, syn_rest=E_rest, weight_init=dist.constant(value=1.),
+            name="a", shape=(1,1), tau_decay=tau_syn, g_syn_bar=2.4, syn_rest=E_rest, weight_init=dist.constant(value=1.),
             key=subkeys[0]
         )
 
@@ -50,8 +44,8 @@ def test_exponentialSynapse1():
         a.inputs.set(in_pulse)
         a.v.set(post_syn_neuron_volt)
         ctx.run(t=t * dt, dt=dt)
-        print("g: ",a.g_syn.value)
-        print("i: ", a.i_syn.value)
+        #print("g: ",a.g_syn.value)
+        #print("i: ", a.i_syn.value)
         outs.append(a.outputs.value)
     outs = jnp.concatenate(outs, axis=1)
     #print(outs)