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#!/usr/bin/env ruby
# get number of rows and number of clusters
NUM_ROWS = (ARGV.shift || 1000).to_i
NUM_CLUSTERS = (ARGV.shift || 4).to_i
# data shape (num_floats, num_ints)
SHAPE = [2, 0]
# cluster centers
Q = [
[-1, -1], [-1, +1], [+1, -1], [+1, +1],
[0, 0],
[-1, 0], [0, +1], [0, -1], [+1, 0],
].map { |c|
c.map { |v| 0.5 + 0.25 * v }
}
def noise(y, x, scale)
Q[y % NUM_CLUSTERS][x] + scale * rand * Math.cos(Math::PI * rand)
end
# print output
puts [SHAPE.join(' ')] + NUM_ROWS.times.map { |y|
SHAPE.first.times.map { |x|
'%1.5f' % [noise(y, x, 0.1)]
}.join(' ')
}
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