def test_big_on_demand(self):
"""Data from on demand client Jan 2015 (before splitting into roles)"""
demand = [
0, 0, 0, 0, 0, 0, 35, 35, 35, 34, 56, 59, 63, 70, 87, 107, 90, 61,
44, 32, 28
]
min_length = 4
max_length = 8
d = Decompose(demand, min_length, max_length)
d.calculate()
d.validate()
efficiency = d.efficiency()
assert efficiency < EFFICIENCY_LIMIT
def test_doesnt_freak_out_with_interior_zero(self):
"""Add an interior zero and make sure the algorithm does not freak out."""
# This is important becuase when bifurcating, an interior zero is possible
# Here, it's infeasible unless the interior point is > 0
demand = [1, 0, 1, 1, 2, 2, 2, 2, 3, 2, 2, 1]
min_length = 2
max_length = 4
d = Decompose(demand, min_length, max_length)
d.calculate()
d.validate()
efficiency = d.efficiency()
assert efficiency < EFFICIENCY_LIMIT
def test_ondemand_data(self):
"""Data from customer bike group, Jan 2015"""
demand = [
0, 0, 0, 0, 0, 0, 0, 5, 5, 7, 8, 6, 6, 7, 7, 7, 9, 9, 6, 5, 4, 4,
0, 0
]
min_length = 4
max_length = 8
d = Decompose(demand, min_length, max_length)
d.calculate()
d.validate()
efficiency = d.efficiency()
assert efficiency < EFFICIENCY_LIMIT