def test_values_batch(self):
n = Cos() * ConstantValueGenerator(50, dtype=np.uint16)
ao = AbsoluteOperator(n)
for i in range(10):
nb = np.random.randint(2, 10000)
values = ao.get_batch(nb)
for val in values:
assert val >= 0
def test_values_single(self):
n = Sin() * ConstantValueGenerator(50, dtype=np.uint16)
lb = 0
ub = 0
while lb >= ub:
lb = np.random.randint(-20, 20)
ub = np.random.randint(-20, 20)
bg = BoundingOperator(n, lb=lb, ub=ub)
for i in range(10000):
assert lb <= bg.get_single() <= ub
def test_values_batch(self):
time_delay_sec = 0.0005
tdg = TimeDelayedGenerator(generator=ConstantValueGenerator(21, dtype=np.uint16), time_delay_sec=time_delay_sec)
start_time = datetime.datetime.now()
for _ in range(10):
tdg.get_batch(100)
end_time = datetime.datetime.now()
elapsed_timedelta = (end_time - start_time)
assert datetime.timedelta(seconds=.47) <= elapsed_timedelta <= datetime.timedelta(seconds=.53)
tdg = TimeDelayedGenerator(generator=ConstantValueGenerator(21, dtype=np.uint16),
time_delay_generator=ConstantValueGenerator(time_delay_sec, dtype=np.float16))
start_time = datetime.datetime.now()
for _ in range(10):
tdg.get_batch(100)
end_time = datetime.datetime.now()
elapsed_timedelta = (end_time - start_time)
assert datetime.timedelta(seconds=.47) <= elapsed_timedelta <= datetime.timedelta(seconds=.53)
def test_values_batch(self):
n = Sin() * ConstantValueGenerator(50, dtype=np.uint16)
lb = 0
ub = 0
while lb >= ub:
lb = np.random.randint(-20, 20)
ub = np.random.randint(-20, 20)
bg = BoundingOperator(n, lb=lb, ub=ub)
for i in range(10):
nb = np.random.randint(2, 10000)
values = bg.get_batch(nb)
for val in values:
assert lb <= val <= ub
def _get_two_unique_gen(self):
va = np.random.randint(-1000, +1000, dtype=np.int32)
vb = np.random.randint(0, 10000, dtype=np.int32)
a = ConstantValueGenerator(va, dtype=np.int64)
b = ConstantValueGenerator(vb, dtype=np.int64)
return va, vb, a, b
def _get_ts(self):
time = Autoincrement()
data = ConstantValueGenerator(value=42, dtype=np.uint16)
return TimeSeries(time_gen=time, data_gen=data)
def _get_gen(self):
start = np.random.randint(-50, +50)
step = np.random.randint(-10, 10)
gen = ConstantValueGenerator(step, dtype=np.int32)
ai = AutoincrementWithGenerator(start=start, generator=gen)
return start, step, ai
def test_values_single(self):
n = Cos() * ConstantValueGenerator(50, dtype=np.uint16)
ao = AbsoluteOperator(n)
for i in range(10000):
assert ao.get_single() >= 0
def test_neg_op(self):
v = np.random.randint(-1000, +1000, dtype=np.int32)
c = - ConstantValueGenerator(v, dtype=np.int64)
assert c.get_single() == - v