mirror of
https://github.com/tahoe-lafs/tahoe-lafs.git
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103 lines
4.2 KiB
Python
103 lines
4.2 KiB
Python
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import os
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from twisted.trial import unittest
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from twisted.python import log
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from allmydata.codec import ReplicatingEncoder, ReplicatingDecoder, CRSEncoder, CRSDecoder
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import random
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from allmydata.util import mathutil
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class Tester:
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def do_test(self, size, required_shares, max_shares, fewer_shares=None):
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data0s = [os.urandom(mathutil.div_ceil(size, required_shares)) for i in range(required_shares)]
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enc = self.enc_class()
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enc.set_params(size, required_shares, max_shares)
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serialized_params = enc.get_serialized_params()
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log.msg("serialized_params: %s" % serialized_params)
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d = enc.encode(data0s)
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def _done_encoding_all((shares, shareids)):
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self.failUnlessEqual(len(shares), max_shares)
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self.shares = shares
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self.shareids = shareids
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d.addCallback(_done_encoding_all)
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if fewer_shares is not None:
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# also validate that the desired_shareids= parameter works
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desired_shareids = random.sample(range(max_shares), fewer_shares)
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d.addCallback(lambda res: enc.encode(data0s, desired_shareids))
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def _check_fewer_shares((some_shares, their_shareids)):
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self.failUnlessEqual(tuple(their_shareids), tuple(desired_shareids))
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d.addCallback(_check_fewer_shares)
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def _decode((shares, shareids)):
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dec = self.dec_class()
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dec.set_serialized_params(serialized_params)
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d1 = dec.decode(shares, shareids)
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return d1
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def _check_data(decoded_shares):
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self.failUnlessEqual(len(''.join(decoded_shares)), len(''.join(data0s)))
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self.failUnlessEqual(len(decoded_shares), len(data0s))
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for (i, (x, y)) in enumerate(zip(data0s, decoded_shares)):
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self.failUnlessEqual(x, y, "%s: %r != %r.... first share was %r" % (str(i), x, y, data0s[0],))
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self.failUnless(''.join(decoded_shares) == ''.join(data0s), "%s" % ("???",))
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# 0data0sclipped = tuple(data0s)
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# data0sclipped[-1] =
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# self.failUnless(tuple(decoded_shares) == tuple(data0s))
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def _decode_some(res):
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log.msg("_decode_some")
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# decode with a minimal subset of the shares
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some_shares = self.shares[:required_shares]
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some_shareids = self.shareids[:required_shares]
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return _decode((some_shares, some_shareids))
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d.addCallback(_decode_some)
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d.addCallback(_check_data)
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def _decode_some_random(res):
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log.msg("_decode_some_random")
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# use a randomly-selected minimal subset
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l = random.sample(zip(self.shares, self.shareids), required_shares)
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some_shares = [ x[0] for x in l ]
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some_shareids = [ x[1] for x in l ]
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return _decode((some_shares, some_shareids))
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d.addCallback(_decode_some_random)
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d.addCallback(_check_data)
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def _decode_multiple(res):
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log.msg("_decode_multiple")
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# make sure we can re-use the decoder object
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shares1 = random.sample(self.shares, required_shares)
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sharesl1 = random.sample(zip(self.shares, self.shareids), required_shares)
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shares1 = [ x[0] for x in sharesl1 ]
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shareids1 = [ x[1] for x in sharesl1 ]
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sharesl2 = random.sample(zip(self.shares, self.shareids), required_shares)
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shares2 = [ x[0] for x in sharesl2 ]
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shareids2 = [ x[1] for x in sharesl2 ]
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dec = self.dec_class()
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dec.set_serialized_params(serialized_params)
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d1 = dec.decode(shares1, shareids1)
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d1.addCallback(_check_data)
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d1.addCallback(lambda res: dec.decode(shares2, shareids2))
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d1.addCallback(_check_data)
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return d1
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d.addCallback(_decode_multiple)
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return d
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def test_encode(self):
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return self.do_test(1000, 25, 100)
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def test_encode1(self):
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return self.do_test(8, 8, 16)
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def test_encode2(self):
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return self.do_test(125, 25, 100, 90)
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class Replicating(unittest.TestCase, Tester):
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enc_class = ReplicatingEncoder
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dec_class = ReplicatingDecoder
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class CRS(unittest.TestCase, Tester):
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enc_class = CRSEncoder
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dec_class = CRSDecoder
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