125 lines
3.7 KiB
Python
Executable File
125 lines
3.7 KiB
Python
Executable File
#!/usr/bin/python
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#
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# Copyright 2014 Google Inc. All rights reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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"""
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rappor_test.py: Tests for rappor.py
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"""
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import cStringIO
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import copy
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import math
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import random
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import unittest
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import rappor # module under test
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class RapporParamsTest(unittest.TestCase):
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def setUp(self):
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self.typical_instance = rappor.Params()
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ti = self.typical_instance # For convenience
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ti.num_cohorts = 64 # Number of cohorts
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ti.num_hashes = 2 # Number of bloom filter hashes
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ti.num_bloombits = 16 # Number of bloom filter bits
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ti.prob_p = 0.40 # Probability p
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ti.prob_q = 0.70 # Probability q
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ti.prob_f = 0.30 # Probability f
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def testFromCsv(self):
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f = cStringIO.StringIO('k,h,m,p,q,f\n32,2,64,0.5,0.75,0.6\n')
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params = rappor.Params.from_csv(f)
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self.assertEqual(32, params.num_bloombits)
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self.assertEqual(64, params.num_cohorts)
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# Malformed header
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f = cStringIO.StringIO('k,h,m,p,q\n32,2,64,0.5,0.75,0.6\n')
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self.assertRaises(rappor.Error, rappor.Params.from_csv, f)
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# Missing second row
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f = cStringIO.StringIO('k,h,m,p,q,f\n')
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self.assertRaises(rappor.Error, rappor.Params.from_csv, f)
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# Too many rows
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f = cStringIO.StringIO('k,h,m,p,q,f\n32,2,64,0.5,0.75,0.6\nextra')
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self.assertRaises(rappor.Error, rappor.Params.from_csv, f)
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def testGetBloomBits(self):
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for cohort in xrange(0, 64):
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b = rappor.get_bloom_bits('foo', cohort, 2, 16)
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#print 'cohort', cohort, 'bloom', b
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def testGetPrr(self):
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bloom = 1
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num_bits = 8
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for word in ('v1', 'v2', 'v3'):
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masks = rappor.get_prr_masks('secret', word, 0.5, num_bits)
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print 'masks', masks
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def testToBigEndian(self):
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b = rappor.to_big_endian(1)
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print repr(b)
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self.assertEqual(4, len(b))
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def testEncoder(self):
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# Test encoder with deterministic random function.
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params = copy.copy(self.typical_instance)
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params.prob_f = 0.5
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params.prob_p = 0.5
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params.prob_q = 0.75
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# return these 3 probabilities in sequence.
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rand = MockRandom([0.0, 0.6, 0.0], params)
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e = rappor.Encoder(params, 0, 'secret', rand)
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irr = e.encode("abc")
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self.assertEquals(64493, irr) # given MockRandom, this is what we get
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class MockRandom(object):
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"""Returns one of three random values in a cyclic manner.
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Mock random function that involves *some* state, as needed for tests that
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call randomness several times. This makes it difficult to deal exclusively
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with stubs for testing purposes.
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"""
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def __init__(self, cycle, params):
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self.p_gen = MockRandomCall(params.prob_p, cycle, params.num_bloombits)
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self.q_gen = MockRandomCall(params.prob_q, cycle, params.num_bloombits)
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class MockRandomCall:
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def __init__(self, prob, cycle, num_bits):
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self.cycle = cycle
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self.n = len(self.cycle)
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self.prob = prob
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self.num_bits = num_bits
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def __call__(self):
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counter = 0
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r = 0
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for i in xrange(0, self.num_bits):
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rand_val = self.cycle[counter]
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counter += 1
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counter %= self.n # wrap around
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r |= ((rand_val < self.prob) << i)
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return r
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if __name__ == "__main__":
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unittest.main()
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