You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Trying to get the size of clusters returns all zero length for all clusters. c.type_equiv_size does not seem to cause this issue. This issue seems to be tied to a behavior where iterating over a cluster takes an exceptionally long amount of time, even for small clusters (e.g. c.type_equiv_size=10). This may be related to #200.
cm = blocksci.cluster.ClusterManager(cluster_data_dir, chain)
for c in cm.clusters():
print(c.size())
Reproduction Steps
import blocksci
import blocksci.cluster
chain = blocksci.Blockchain(BITCOIN_DATA_DIR)
cm = blocksci.cluster.ClusterManager(BITCOIN_CLUSTER_DIR, chain)
cm = blocksci.cluster.ClusterManager(cluster_data_dir, chain)
for c in cm.clusters():
print(c.size())
System Information
BlockSci version: 0.5
Using AMI: no
Compiled under Ubuntu 16.04
cmake version 3.12.4
gcc/g++ 7.3.0-21ubuntu1~16.04
Anaconda version 3.5.1 (Python 3.7.0)
Total memory: 64 GB DRAM, 188GB swap
Accessing an individual cluster's addresses takes a very long time and returns an empty list:
IPython console
chain = blocksci.Blockchain(BITCOIN_DATA_DIR)
cx = blocksci.cluster.ClusterManager(CUSTOM_CLUSTER_DIR,chain)
len(cx.clusters())
Out[7]: 330464891
clist = list(cx.clusters())
a = clist[6]
a
Out[21]: <blocksci.cluster.Cluster at 0x7f17ebced688>
a.addresses
Out[22]: <blocksci.AddressIterator at 0x7efdf84d07a0>
[x for x in a.addresses]
Out[23]: []
a.type_equiv_size
Out[24]: 125
I've uploaded my bitcoin-data and bitcoin-clusters directories here, in case it helps with reproducing the error. You might want to let that run while you're at lunch; it's a 102 GB download, and when you unzip the *.tar.bz2 (which will also likely take forever), it's something like 170 - 180 GB.
Trying to get the size of clusters returns all zero length for all clusters. c.type_equiv_size does not seem to cause this issue. This issue seems to be tied to a behavior where iterating over a cluster takes an exceptionally long amount of time, even for small clusters (e.g. c.type_equiv_size=10). This may be related to #200.
Reproduction Steps
System Information
BlockSci version: 0.5
Using AMI: no
Compiled under Ubuntu 16.04
cmake version 3.12.4
gcc/g++ 7.3.0-21ubuntu1~16.04
Anaconda version 3.5.1 (Python 3.7.0)
Total memory: 64 GB DRAM, 188GB swap
Dependencies installed:
blocksci==0.5.0
The text was updated successfully, but these errors were encountered: