def test_pattern_no_trace():
"""Test for the PatternGenerator class.
This test will test the case when no analyzer is used. Exception
should be raised when users want to show the waveform.
"""
ol.download()
num_samples = 128
loopback_sent = build_loopback_pattern(num_samples)
pattern_generator = PatternGenerator(mb_info)
pattern_generator.trace(use_analyzer=False,
num_analyzer_samples=num_samples)
exception_raised = False
try:
pattern_generator.setup(loopback_sent,
stimulus_group_name='stimulus',
analysis_group_name='analysis')
pattern_generator.run()
pattern_generator.show_waveform()
except ValueError:
exception_raised = True
assert exception_raised, 'Should raise exception for show_waveform().'
pattern_generator.reset()
del pattern_generator
def test_pattern_num_samples():
"""Test for the PatternGenerator class.
This test will examine 0 sample and more than the maximum number
of samples. In these cases, exception should be raised.
Here the `MAX_NUM_PATTERN_SAMPLE` is used for display purpose. The maximum
number of samples that can be captured by the trace analyzer is defined
as `MAX_NUM_TRACE_SAMPLES`.
"""
ol.download()
for num_samples in [0, MAX_NUM_PATTERN_SAMPLES + 1]:
loopback_sent = build_loopback_pattern(num_samples)
pattern_generator = PatternGenerator(mb_info)
exception_raised = False
try:
pattern_generator.trace(use_analyzer=True,
num_analyzer_samples=num_samples)
pattern_generator.setup(loopback_sent,
stimulus_group_name='stimulus',
analysis_group_name='analysis')
except ValueError:
exception_raised = True
assert exception_raised, 'Should raise exception if number of ' \
'samples is out of range.'
pattern_generator.reset()
del pattern_generator
def test_pattern_step():
"""Test for the PatternGenerator class.
This test will examine a moderate number of 128 samples (in order
to shorten testing time). For theses cases, random signals will be used,
and all the pins will be used to build the pattern. Each sample is
captured after advancing the `step()`.
"""
ol.download()
num_samples = 128
loopback_sent = build_random_pattern(num_samples)
pattern_generator = PatternGenerator(mb_info)
pattern_generator.trace(use_analyzer=True,
num_analyzer_samples=num_samples)
pattern_generator.setup(loopback_sent,
stimulus_group_name='stimulus',
analysis_group_name='analysis',
frequency_mhz=100)
for _ in range(num_samples):
pattern_generator.step()
loopback_recv = pattern_generator.waveform.waveform_dict
list1 = list2 = list3 = list()
for wavelane_group in loopback_sent['signal']:
if wavelane_group and wavelane_group[0] == 'stimulus':
for i in wavelane_group[1:]:
temp = deepcopy(i)
temp['wave'] = wave_to_bitstring(i['wave'])
list1.append(temp)
for wavelane_group in loopback_recv['signal']:
if wavelane_group and wavelane_group[0] == 'stimulus':
for i in wavelane_group[1:]:
temp = deepcopy(i)
temp['wave'] = wave_to_bitstring(i['wave'])
list2.append(temp)
elif wavelane_group and wavelane_group[0] == 'analysis':
for i in wavelane_group[1:]:
temp = deepcopy(i)
temp['wave'] = wave_to_bitstring(i['wave'])
list3.append(temp)
assert list1 == list2, \
'Stimulus not equal in generated and captured patterns.'
assert list2 == list3, \
'Stimulus not equal to analysis in captured patterns.'
pattern_generator.stop()
pattern_generator.reset()
del pattern_generator
def test_pattern_random():
"""Test for the PatternGenerator class.
This test will examine 1 sample, and a maximum number of samples.
For theses cases, random signals will be used, and all the
pins will be used to build the pattern.
"""
ol.download()
for num_samples in [1, MAX_NUM_PATTERN_SAMPLES]:
loopback_sent = build_random_pattern(num_samples)
pattern_generator = PatternGenerator(mb_info)
pattern_generator.trace(use_analyzer=True,
num_analyzer_samples=num_samples)
pattern_generator.setup(loopback_sent,
stimulus_group_name='stimulus',
analysis_group_name='analysis',
frequency_mhz=100)
pattern_generator.run()
loopback_recv = pattern_generator.waveform.waveform_dict
list1 = list2 = list3 = list()
for wavelane_group in loopback_sent['signal']:
if wavelane_group and wavelane_group[0] == 'stimulus':
for i in wavelane_group[1:]:
temp = deepcopy(i)
temp['wave'] = wave_to_bitstring(i['wave'])
list1.append(temp)
for wavelane_group in loopback_recv['signal']:
if wavelane_group and wavelane_group[0] == 'stimulus':
for i in wavelane_group[1:]:
temp = deepcopy(i)
temp['wave'] = wave_to_bitstring(i['wave'])
list2.append(temp)
elif wavelane_group and wavelane_group[0] == 'analysis':
for i in wavelane_group[1:]:
temp = deepcopy(i)
temp['wave'] = wave_to_bitstring(i['wave'])
list3.append(temp)
assert list1 == list2, \
'Stimulus not equal in generated and captured patterns.'
assert list2 == list3, \
'Stimulus not equal to analysis in captured patterns.'
pattern_generator.stop()
pattern_generator.reset()
del pattern_generator
def test_pattern_state():
"""Test for the PatternGenerator class.
This test will test a set of loopback signals. Each lane is
simulating a clock of a specific frequency.
"""
ol.download()
print("\nDisconnect all the pins.")
input("Hit enter after done ...")
num_samples = 128
loopback_sent = build_loopback_pattern(num_samples)
pattern_generator = PatternGenerator(mb_info)
assert pattern_generator.status == 'RESET'
pattern_generator.trace(use_analyzer=True,
num_analyzer_samples=num_samples)
pattern_generator.setup(loopback_sent,
stimulus_group_name='stimulus',
analysis_group_name='analysis')
assert pattern_generator.status == 'READY'
pattern_generator.run()
assert pattern_generator.status == 'RUNNING'
loopback_recv = pattern_generator.waveform.waveform_dict
list1 = list2 = list3 = list()
for wavelane_group in loopback_sent['signal']:
if wavelane_group and wavelane_group[0] == 'stimulus':
list1 = wavelane_group[1:]
for wavelane_group in loopback_recv['signal']:
if wavelane_group and wavelane_group[0] == 'stimulus':
list2 = wavelane_group[1:]
elif wavelane_group and wavelane_group[0] == 'analysis':
list3 = wavelane_group[1:]
assert list1 == list2, \
'Stimulus not equal in generated and captured patterns.'
assert list2 == list3, \
'Stimulus not equal to analysis in captured patterns.'
pattern_generator.stop()
assert pattern_generator.status == 'READY'
pattern_generator.reset()
assert pattern_generator.status == 'RESET'
del pattern_generator