def setUp(self):
scheduler.initialize()
def fall_duration_helper():
g = Cell('g')
one_half = Cell('one half')
t_to_2 = Cell('t^2')
g_times_t_to_2 = Cell('gt^2')
(constant(Interval(9.789, 9.832)))(g)
(constant(Interval(0.5, 0.5)))(one_half)
quadratic(t, t_to_2)
product(g, t_to_2, g_times_t_to_2)
product(one_half, g_times_t_to_2, h)
return fall_duration_helper
if __name__ == '__main__':
scheduler.initialize()
# We now build a sequence of sample dependency tracking systems of
# increasing complexity. We start with a relatively simple system
# that only tracks and reports the provenance of its data.
#
# How do we want our provenance system to work? We can make cells
# and define networks as usual, but if we add supported values as inputs,
# we get supported values as outputs:
barometer_height = Cell('barometer height')
barometer_shadow = Cell('barometer shadow')
building_height = Cell('building height')
building_shadow = Cell('building shadow')
similar_triangles(barometer_shadow, barometer_height, building_shadow, building_height)
defined in this module.
"""
def good_enuf(g, x, done):
@compound(neighbors=[g, x])
def to_do():
g_to_2 = Cell('g^2')
x_minus_g_to_2 = Cell('x-g^2')
ax_minus_g_to_2 = Cell('abs(x-g^2)')
multiplier(g, g, g_to_2)
subtractor(x, g_to_2, x_minus_g_to_2)
absolute_value(x_minus_g_to_2, ax_minus_g_to_2)
less_than(ax_minus_g_to_2, eps, done)
return to_do
if __name__ == '__main__':
scheduler.initialize()
x = Cell('x')
answer = Cell('answer')
sqrt_network(x, answer)
x.add_content(2)
scheduler.run()
print(answer.content)
def setUp(self):
scheduler.initialize()
