tahoe-lafs/src/allmydata/test/test_codec.py

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2007-02-02 00:13:01 +00:00
import os
from twisted.trial import unittest
from twisted.python import log
from allmydata.codec import ReplicatingEncoder, ReplicatingDecoder, CRSEncoder, CRSDecoder
import random
from allmydata.util import mathutil
class Tester:
def do_test(self, size, required_shares, max_shares, fewer_shares=None):
data0s = [os.urandom(mathutil.div_ceil(size, required_shares)) for i in range(required_shares)]
enc = self.enc_class()
enc.set_params(size, required_shares, max_shares)
serialized_params = enc.get_serialized_params()
log.msg("serialized_params: %s" % serialized_params)
d = enc.encode(data0s)
def _done_encoding_all((shares, shareids)):
self.failUnlessEqual(len(shares), max_shares)
self.shares = shares
self.shareids = shareids
d.addCallback(_done_encoding_all)
if fewer_shares is not None:
# also validate that the desired_shareids= parameter works
desired_shareids = random.sample(range(max_shares), fewer_shares)
d.addCallback(lambda res: enc.encode(data0s, desired_shareids))
def _check_fewer_shares((some_shares, their_shareids)):
self.failUnlessEqual(tuple(their_shareids), tuple(desired_shareids))
d.addCallback(_check_fewer_shares)
def _decode((shares, shareids)):
dec = self.dec_class()
dec.set_serialized_params(serialized_params)
d1 = dec.decode(shares, shareids)
return d1
def _check_data(decoded_shares):
self.failUnlessEqual(len(''.join(decoded_shares)), len(''.join(data0s)))
self.failUnlessEqual(len(decoded_shares), len(data0s))
for (i, (x, y)) in enumerate(zip(data0s, decoded_shares)):
self.failUnlessEqual(x, y, "%s: %r != %r.... first share was %r" % (str(i), x, y, data0s[0],))
self.failUnless(''.join(decoded_shares) == ''.join(data0s), "%s" % ("???",))
# 0data0sclipped = tuple(data0s)
# data0sclipped[-1] =
# self.failUnless(tuple(decoded_shares) == tuple(data0s))
def _decode_some(res):
log.msg("_decode_some")
# decode with a minimal subset of the shares
some_shares = self.shares[:required_shares]
some_shareids = self.shareids[:required_shares]
return _decode((some_shares, some_shareids))
d.addCallback(_decode_some)
d.addCallback(_check_data)
def _decode_some_random(res):
log.msg("_decode_some_random")
# use a randomly-selected minimal subset
l = random.sample(zip(self.shares, self.shareids), required_shares)
some_shares = [ x[0] for x in l ]
some_shareids = [ x[1] for x in l ]
return _decode((some_shares, some_shareids))
d.addCallback(_decode_some_random)
d.addCallback(_check_data)
def _decode_multiple(res):
log.msg("_decode_multiple")
# make sure we can re-use the decoder object
shares1 = random.sample(self.shares, required_shares)
sharesl1 = random.sample(zip(self.shares, self.shareids), required_shares)
shares1 = [ x[0] for x in sharesl1 ]
shareids1 = [ x[1] for x in sharesl1 ]
sharesl2 = random.sample(zip(self.shares, self.shareids), required_shares)
shares2 = [ x[0] for x in sharesl2 ]
shareids2 = [ x[1] for x in sharesl2 ]
dec = self.dec_class()
dec.set_serialized_params(serialized_params)
d1 = dec.decode(shares1, shareids1)
d1.addCallback(_check_data)
d1.addCallback(lambda res: dec.decode(shares2, shareids2))
d1.addCallback(_check_data)
return d1
d.addCallback(_decode_multiple)
return d
def test_encode(self):
return self.do_test(1000, 25, 100)
def test_encode1(self):
return self.do_test(8, 8, 16)
def test_encode2(self):
return self.do_test(125, 25, 100, 90)
class Replicating(unittest.TestCase, Tester):
enc_class = ReplicatingEncoder
dec_class = ReplicatingDecoder
class CRS(unittest.TestCase, Tester):
enc_class = CRSEncoder
dec_class = CRSDecoder