def test_clear_cache():
target = prefs.codegen.target
if target == 'numpy':
assert 'numpy' not in _cache_dirs_and_extensions
with pytest.raises(ValueError):
clear_cache('numpy')
else:
assert target in _cache_dirs_and_extensions
cache_dir, _ = _cache_dirs_and_extensions[target]
# Create a file that should not be there
fname = os.path.join(cache_dir, 'some_file.py')
open(fname, 'w').close()
# clear_cache should refuse to clear the directory
with pytest.raises(IOError):
clear_cache(target)
os.remove(fname)
dynamic_PC_M, dynamic_PC_S = dynamic_PC.run(inj_dynamic, duration_PC, PC_i)
# Store results
data = np.array([
input_theory, dynamic_theory, hidden_state, current_PC_M.I_inj[0] / uA,
current_PC_M.v[0] / mV, current_PC_S.t / ms, dynamic_PC_M.I_inj[0] /
uA, dynamic_PC_M.v[0] / mV, dynamic_PC_S.t / ms,
(inj_dynamic[0].values, inj_dynamic[1].values)
],
dtype=list)
data = pd.DataFrame(data=data, index=vars_to_track).T
results_PC = results_PC.append(data, ignore_index=True)
# Keep it clean
try:
clear_cache('cython')
except:
pass
# Initiate Interneuron models
IN_i = 11
current_IN = Barrel_IN('current', dt=dt)
dynamic_IN = Barrel_PC('dynamic', dt=dt)
current_IN.store()
dynamic_IN.store()
# Create results DataFrame
results_IN = pd.DataFrame(columns=vars_to_track)
# Interneuron simulation
for _ in range(N_runs):