fix: number of dimensions
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23994e2beb
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3 changed files with 10 additions and 6 deletions
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@ -8,11 +8,12 @@ from . import x,y,pb
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# Objective functions
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########################################################################
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def cover_sum(sol, domain_width, sensor_range):
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def cover_sum(sol, domain_width, sensor_range, dim):
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"""Compute the coverage quality of the given array of bits."""
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assert(0 < sensor_range <= math.sqrt(2))
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assert(0 < domain_width)
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assert(len(sol)>0)
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assert(dim > 0)
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assert(len(sol) >= dim)
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domain = np.zeros((domain_width,domain_width))
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sensors = to_sensors(sol)
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cov = pb.coverage(domain, sensors, sensor_range*domain_width)
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@ -21,11 +21,12 @@ def to_sensors(sol):
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return sensors
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def cover_sum(sol, domain_width, sensor_range):
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def cover_sum(sol, domain_width, sensor_range, dim):
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"""Compute the coverage quality of the given vector."""
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assert(0 < sensor_range <= domain_width * math.sqrt(2))
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assert(0 < domain_width)
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assert(len(sol)>0)
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assert(dim > 0)
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assert(len(sol) >= dim)
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domain = np.zeros((domain_width,domain_width))
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sensors = to_sensors(sol)
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cov = pb.coverage(domain, sensors, sensor_range*domain_width)
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6
snp.py
6
snp.py
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@ -93,7 +93,8 @@ if __name__=="__main__":
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val,sol = algo.greedy(
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make.func(num.cover_sum,
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domain_width = the.domain_width,
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sensor_range = the.sensor_range),
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sensor_range = the.sensor_range,
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dim = d * the.nb_sensors),
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make.init(num.rand,
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dim = d * the.nb_sensors,
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scale = the.domain_width),
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@ -108,7 +109,8 @@ if __name__=="__main__":
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val,sol = algo.greedy(
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make.func(bit.cover_sum,
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domain_width = the.domain_width,
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sensor_range = the.sensor_range),
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sensor_range = the.sensor_range,
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dim = d * the.nb_sensors),
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make.init(bit.rand,
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domain_width = the.domain_width,
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nb_sensors = the.nb_sensors),
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