def test_sixty_nine(self): nNeurons = 600 # number of neurons in each population neo = do_run(nNeurons, 69) try: spike_count = neo_convertor.count_spikes(neo) self.assertEquals(spike_count, 7200) except Exception as ex: # Just in case the range failed raise SkipTest(ex)
def test_va_benchmark(self): try: exc_spikes = do_run() # System intentional overload so may error except SpinnmanTimeoutException as ex: raise SkipTest(ex) spike_count = neo_convertor.count_spikes(exc_spikes) print(spike_count) # CB Jan 14 2019 Result varie between runs self.assertLessEqual(2558, spike_count) self.assertGreaterEqual(2559, spike_count) io = PickleIO(filename=neo_path) recorded_spikes = io.read()[0] neo_compare.compare_blocks(exc_spikes, recorded_spikes)
def test_va_benchmark(self): try: exc_spikes = do_run() # System intentional overload so may error except SpinnmanTimeoutException as ex: raise SkipTest(ex) spike_count = neo_convertor.count_spikes(exc_spikes) self.assertLess(1900, spike_count) self.assertGreater(2700, spike_count) try: with open(neo_path, "r") as neo_file: recorded_spikes = pickle.load(neo_file) neo_compare.compare_blocks(exc_spikes, recorded_spikes) except UnicodeDecodeError: raise SkipTest( "https://github.com/NeuralEnsemble/python-neo/issues/529")
def test_va_benchmark(self): exc_spikes = do_run(seed=self._test_seed) spike_count = neo_convertor.count_spikes(exc_spikes) try: self.assertLess(1900, spike_count) self.assertGreater(2700, spike_count) except Exception as ex: # Just in case the range failed raise SkipTest(ex) try: with open(neo_path, "r") as neo_file: recorded_spikes = pickle.load(neo_file) neo_compare.compare_blocks(exc_spikes, recorded_spikes) except UnicodeDecodeError: raise SkipTest( "https://github.com/NeuralEnsemble/python-neo/issues/529")
def seventy(self): nNeurons = 600 # number of neurons in each population neo = do_run(nNeurons, 70) spike_count = neo_convertor.count_spikes(neo) self.assertEqual(spike_count, 7200)
def test_run_(self): nNeurons = 100 # number of neurons in each population neo = do_run(nNeurons) spike_count = neo_convertor.count_spikes(neo) print(spike_count)
def test_run_(self): nNeurons = 700 # number of neurons in each population neo = do_run(nNeurons) spike_count = neo_convertor.count_spikes(neo) self.assertEqual(7200, spike_count)