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A python script computing the entropy of Bitcoin transactions and the linkability of their inputs and outputs.

License: Other

Python 100.00%
bitcoin entropy privacy python python3

boltzmann's People

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anwfr avatar janeygcode avatar laurentmt avatar riordant avatar samouraidev avatar

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boltzmann's Issues

TypeError: 'float' object cannot be interpreted as an integer

$ python3 ludwig.py --txids=8e56317360a548e8ef28ec475878ef70d1371bee3526c017ac22ad61ae5740b8


--- 8e56317360a548e8ef28ec475878ef70d1371bee3526c017ac22ad61ae5740b8 -------------------------------------
Traceback (most recent call last):
  File "ludwig.py", line 142, in <module>
    main(txids, options, max_duration, max_txos, max_cj_intrafees_ratio)  
  File "ludwig.py", line 86, in main
    (mat_lnk, nb_cmbn, inputs, outputs, fees, intrafees) = process_tx(tx, options, max_duration, max_txos, max_cj_intrafees_ratio)
  File "/usr/local/lib/python3.6/site-packages/boltzmann-0.0.1-py3.6.egg/boltzmann/utils/tx_processor.py", line 71, in process_tx
    (mat_lnk, nb_cmbn, txo_ins, txo_outs) = linker.process(linked_ins+linked_outs, options, intrafees)
  File "/usr/local/lib/python3.6/site-packages/boltzmann-0.0.1-py3.6.egg/boltzmann/linker/txos_linker.py", line 134, in process
    self._prepare_data()
  File "/usr/local/lib/python3.6/site-packages/boltzmann-0.0.1-py3.6.egg/boltzmann/linker/txos_linker.py", line 189, in _prepare_data
    self._all_in_agg_val = self._prepare_txos(self.inputs)
  File "/usr/local/lib/python3.6/site-packages/boltzmann-0.0.1-py3.6.egg/boltzmann/linker/txos_linker.py", line 226, in _prepare_txos
    all_agg[j, :] = np.tile(tmp, 2**(expnt-1) / two_exp_j)
  File "/usr/local/lib/python3.6/site-packages/numpy-1.12.0-py3.6-macosx-10.11-x86_64.egg/numpy/lib/shape_base.py", line 881, in tile
    return c.reshape(shape_out)
TypeError: 'float' object cannot be interpreted as an integer

Any suggestions?

Project current status

Hello,

This looks like very interesting work. From what I gather from the gists, the aim is to make transaction privacy analysis open source and available to the general public. I'm interested in contributing and therefore have the following questions:

  1. Is this project still active? (Most files were last changed ~2 years ago.)
  2. Are there other similar projects which have gained similar or more traction?
  3. Is this sort of analysis still relevant given the current state of bitcoin? (The bitcointalk thread linked from the thread is from 4 years ago.)
  4. Are there any established-ish companies selling this sort of analysis?

Thank you for your attention.

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