def test_update_vs_insert():
points = 1000
data = make_normal(points)
h1 = StreamHist(maxbins=50)
h1.update(data)
h2 = StreamHist(maxbins=50)
for i, p in enumerate(data):
h2.insert(p, 1)
h2.trim()
h2.trim()
assert h1.to_dict() == h2.to_dict()
def test_update_vs_insert():
points = 1000
data = make_normal(points)
h1 = StreamHist(maxbins=50)
h1.update(data)
h2 = StreamHist(maxbins=50)
for i, p in enumerate(data):
h2.insert(p, 1)
h2.trim()
h2.trim()
assert h1.to_dict() == h2.to_dict()
def test_trim():
points = 1000
h = StreamHist(maxbins=10)
for _ in range(points):
h.update(rand_int(10))
assert len(h.bins) == 10 and h.total == points
h = StreamHist(maxbins=10)
for _ in range(points):
h.insert(rand_int(10), 1)
h.trim()
assert len(h.bins) == 10 and h.total == points
def test_trim():
points = 1000
h = StreamHist(maxbins=10)
for _ in range(points):
h.update(rand_int(10))
assert len(h.bins) == 10 and h.total == points
h = StreamHist(maxbins=10)
for _ in range(points):
h.insert(rand_int(10), 1)
h.trim()
assert len(h.bins) == 10 and h.total == points