Moved random scripts to examples directory.
I'll clean these up later.
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6 changed files with 34 additions and 1 deletions
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@ -1,5 +1,12 @@
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# See https://stackoverflow.com/a/19521297/3187068
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import matplotlib
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matplotlib.use('pdf')
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font = {'size': 8}
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matplotlib.rc('font', **font)
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from quorums import *
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import datetime
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import matplotlib.pyplot as plt
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def main() -> None:
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def seconds(x: int) -> datetime.timedelta:
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@ -28,11 +35,14 @@ def main() -> None:
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grid = QuorumSystem(reads=a*b + c*d*e)
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paths = QuorumSystem(reads=a*b + a*c*e + d*e + d*c*b)
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print('0-resilient Capacities')
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print(maj.uniform_strategy().capacity(read_fraction=fr))
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print(maj.capacity(read_fraction=fr))
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print(grid.capacity(read_fraction=fr))
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print(paths.capacity(read_fraction=fr))
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print()
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print('0-resilient Searched')
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opt = search(nodes=[a, b, c, d, e],
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resilience=1,
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read_fraction=fr)
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@ -42,12 +52,31 @@ def main() -> None:
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print(sigma.capacity(read_fraction=fr))
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print()
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for (sigma, name, filename, size) in [
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(maj.uniform_strategy(), 'Majority Quorum System', 'majority_uniform', (3.25, 1.75)),
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# (grid.strategy(read_fraction=fr), 'Grid Quorum System'),
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(sigma, 'Searched Quorum System', 'searched', (3.25, 1.75)),
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]:
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fig, ax = plt.subplots(figsize=size)
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plot_node_throughput_on(
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ax,
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sigma,
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nodes = [a, b, c, d, e],
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read_fraction=0.5,
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)
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ax.set_xlabel('Node')
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ax.set_ylabel('Throughput')
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fig.tight_layout()
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fig.savefig(f'{filename}_throughputs.pdf')
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print('1-resilient Capacities')
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print(maj)
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print(maj.capacity(read_fraction=fr, f=1))
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print(grid.capacity(read_fraction=fr, f=1))
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print(paths.capacity(read_fraction=fr, f=1))
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print()
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print('1-resilient Searched')
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opt = search(nodes=[a, b, c, d, e], resilience=1, read_fraction=fr, f=1)
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sigma = opt.strategy(read_fraction=fr, f=1)
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print(opt)
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@ -55,6 +84,9 @@ def main() -> None:
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print(sigma.capacity(read_fraction=fr))
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print()
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print('Latency Optimal Capacities and Latencies')
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print(maj.uniform_strategy().capacity(read_fraction=fr),
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maj.uniform_strategy().latency(read_fraction=fr))
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print(maj.capacity(read_fraction=fr, optimize='latency', load_limit=1/2000),
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maj.latency(read_fraction=fr, optimize='latency', load_limit=1/2000))
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print(grid.capacity(read_fraction=fr, optimize='latency', load_limit=1/2000),
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@ -63,6 +95,7 @@ def main() -> None:
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paths.latency(read_fraction=fr, optimize='latency', load_limit=1/2000))
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print()
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print('Latency Optimal Searched')
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opt = search(nodes=[a, b, c, d, e], resilience=1, read_fraction=fr, optimize='latency', load_limit=1/2000)
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sigma = opt.strategy(read_fraction=fr, optimize='latency', load_limit=1/2000)
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print(opt)
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@ -94,7 +94,7 @@ assert(paths.resilience() >= 1)
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distribution = {0.9: 0.9, 0.1: 0.1}
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print(simple_majority.capacity(read_fraction=distribution)) # 5089
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print(crumbling_walls.capacity(read_fraction=distribution)) # 6824
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print(crumbling_walls.capacity(read_fraction=distribution)) # 5824
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print(paths.capacity(read_fraction=distribution)) # 5725
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print(simple_majority.capacity(read_fraction=distribution, f=1)) # 3816
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