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graph_generate.py
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executable file
·62 lines (50 loc) · 1.76 KB
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#!/usr/bin/python
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import random
import numpy
GRAPHSET_SIZE = 50
EDGE_SIZE = 700
SET_A_SIZE = random.randint(1, GRAPHSET_SIZE)
SET_B_SIZE = GRAPHSET_SIZE - SET_A_SIZE
print "set A size", SET_A_SIZE
print "set B size", SET_B_SIZE
# edges between A and B is zipfian distribution
#zipfians = numpy.random.zipf(2, EDGE_SIZE)
#normalized_zipf = (zipfians / float(max(zipfians))) * SET_A_SIZE
# uniform distribution
uniforms = numpy.random.uniform(0, 1.0, EDGE_SIZE)
normalized_uniform = uniforms * SET_A_SIZE
normalized_uniform.sort()
d = {}
for e in normalized_uniform:
va = int(e)
if (d.has_key(va)):
d[va] = d[va] + 1
else:
d[va] = 1
f = file("graph", "w")
for (k,v) in d.items():
va = k
# randomly choose a vertex from set B
rands = set()
for i in range(0, v):
r = random.randint(SET_A_SIZE, GRAPHSET_SIZE - 1)
rands.add(r)
for r in rands:
#print "(%d, %d), %d" %(va, r, 1.0)
f.write("((%d,%d),%f)\n" %(va, r, 1.0))
f.close()