def test_linear_transform_undefined():
eta = ETA()
eta._timing_data = deque([(1.2, 22), (2.4, 58), (3.1, 102), (4.4, 118)])
getattr(eta, '_calculate')()
assert eta.eta_epoch is None
assert 30 < eta.rate < 35
assert 12 < eta.rate_unstable < 13
def test_linear_slope_1():
eta = ETA(100)
eta._timing_data = deque([(10, 10), (20, 20), (30, 30), (40, 40)])
getattr(eta, '_calculate')()
assert 100 == eta.eta_epoch
assert 1.0 == eta.rate
assert 1.0 == eta.rate_unstable
def test_linear_transform():
"""Wolfram Alpha:
x is the timestamp. y is the numerator. 120 is the denominator.
linear fit {1.2, 22},{2.4, 58},{3.1, 102},{4.4, 118}
The closer we get to 100%, the more vertical shift/transform is applied to the line.
As we near the end we want the line to get closer to the last point on the graph.
This avoids having 99% with an ETA in the past.
"""
eta = ETA(120)
eta._timing_data = deque([(1.2, 22), (2.4, 58), (3.1, 102), (4.4, 118)])
getattr(eta, '_calculate')()
assert 4.4 < eta.eta_epoch < 4.6
assert 30 < eta.rate < 35
assert 12 < eta.rate_unstable < 13
