def test_warm_start_without_history():
history = {
'bins': [{
'mean': 1,
'count': 1
}, {
'mean': 2,
'count': 1
}, {
'mean': 3,
'count': 1
}],
'info': {
'missing_count': 0,
'maxbins': 4,
'weighted': False,
'freeze': None
}
}
h = StreamHist.from_dict(history)
assert h.min() == 1
assert h.max() == 3
assert h.mean() == 2.0
assert h.stdDev() == 0.816496580927726
assert h.total == 3
assert h.missing_count == 0
def test_warm_start_with_history():
normal_data = np.random.normal(0, 10, 10)
h1 = StreamHist(maxbins=8)
h1.update(normal_data)
d = h1.to_dict()
h2 = StreamHist.from_dict(d)
assert str(h2) == str(h1)
def test_round_trip():
# Tests to_dict and from_dict
h = StreamHist().update([1, 1, 4])
assert h.to_dict() == h.from_dict(h.to_dict()).to_dict()
def test_round_trip():
# Tests to_dict and from_dict
h = StreamHist().update([1, 1, 4])
assert h.to_dict() == h.from_dict(h.to_dict()).to_dict()
