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<article id="content">
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<header>
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<h1 class="title">Module <code>onionr.onionrproofs.subprocesspow</code></h1>
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</header>
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<section id="section-intro">
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<p>Onionr - Private P2P Communication</p>
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<p>Multiprocess proof of work</p>
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<details class="source">
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<summary>Source code</summary>
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<pre><code class="python">#!/usr/bin/env python3
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'''
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Onionr - Private P2P Communication
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Multiprocess proof of work
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'''
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'''
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This program is free software: you can redistribute it and/or modify
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it under the terms of the GNU General Public License as published by
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the Free Software Foundation, either version 3 of the License, or
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(at your option) any later version.
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This program is distributed in the hope that it will be useful,
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but WITHOUT ANY WARRANTY; without even the implied warranty of
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MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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GNU General Public License for more details.
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You should have received a copy of the GNU General Public License
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along with this program. If not, see <https://www.gnu.org/licenses/>.
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'''
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import subprocess, os
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import multiprocessing, threading, time, json
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from multiprocessing import Pipe, Process
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from onionrblocks import onionrblockapi
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import config, onionrutils, logger, onionrproofs, onionrcrypto as crypto
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from onionrutils import bytesconverter
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class SubprocessPOW:
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def __init__(self, data, metadata, subproc_count=None):
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'''
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Onionr proof of work using multiple processes
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Accepts block data, block metadata
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if subproc_count is not set, os.cpu_count() is used to determine the number of processes
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Do to Python GIL multiprocessing or use of external libraries is necessary to accelerate CPU bound tasks
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'''
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# No known benefit to using more processes than there are cores.
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# Note: os.cpu_count perhaps not always accurate
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if subproc_count is None:
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subproc_count = os.cpu_count()
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self.subproc_count = subproc_count
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self.result = ''
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self.shutdown = False
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self.data = data
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self.metadata = metadata
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# dump dict to measure bytes of json metadata. Cannot reuse later because the pow token must be added
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json_metadata = json.dumps(metadata).encode()
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self.data = bytesconverter.str_to_bytes(data)
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# Calculate difficulty. Dumb for now, may use good algorithm in the future.
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self.difficulty = onionrproofs.getDifficultyForNewBlock(bytes(json_metadata + b'\n' + self.data))
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logger.info('Computing POW (difficulty: %s)...' % (self.difficulty,))
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self.mainHash = '0' * 64
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self.puzzle = self.mainHash[0:min(self.difficulty, len(self.mainHash))]
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self.shutdown = False
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self.payload = None
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def start(self):
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# Create a new thread for each subprocess
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for x in range(self.subproc_count):
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threading.Thread(target=self._spawn_proc).start()
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# Monitor the processes for a payload, shut them down when its found
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while True:
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if self.payload is None:
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time.sleep(0.1)
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else:
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self.shutdown = True
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return self.payload
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def _spawn_proc(self):
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# Create a child proof of work process, wait for data and send shutdown signal when its found
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parent_conn, child_conn = Pipe()
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p = Process(target=self.do_pow, args=(child_conn,))
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p.start()
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p.join()
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payload = None
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try:
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while True:
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data = parent_conn.recv()
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if len(data) >= 1:
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payload = data
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break
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except KeyboardInterrupt:
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pass
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finally:
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parent_conn.send('shutdown')
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self.payload = payload
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def do_pow(self, pipe):
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nonce = -10000000 # Start nonce at negative 10 million so that the chosen nonce is likely to be small in length
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nonceStart = nonce
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data = self.data
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metadata = self.metadata
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puzzle = self.puzzle
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difficulty = self.difficulty
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while True:
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# Break if shutdown received
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if pipe.poll() and pipe.recv() == 'shutdown':
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break
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# Load nonce into block metadata
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metadata['pow'] = nonce
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# Serialize metadata, combine with block data
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payload = json.dumps(metadata).encode() + b'\n' + data
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# Check sha3_256 hash of block, compare to puzzle. Send payload if puzzle finished
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token = crypto.hashers.sha3_hash(payload)
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token = bytesconverter.bytes_to_str(token) # ensure token is string
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if puzzle == token[0:difficulty]:
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pipe.send(payload)
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break
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nonce += 1
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</code></pre>
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</details>
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</section>
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<section>
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</section>
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<section>
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</section>
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<section>
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</section>
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<section>
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<h2 class="section-title" id="header-classes">Classes</h2>
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<dl>
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<dt id="onionr.onionrproofs.subprocesspow.SubprocessPOW"><code class="flex name class">
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<span>class <span class="ident">SubprocessPOW</span></span>
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<span>(</span><span>data, metadata, subproc_count=None)</span>
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</code></dt>
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<dd>
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<section class="desc"><p>Onionr proof of work using multiple processes
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Accepts block data, block metadata
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if subproc_count is not set, os.cpu_count() is used to determine the number of processes</p>
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<p>Do to Python GIL multiprocessing or use of external libraries is necessary to accelerate CPU bound tasks</p></section>
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<details class="source">
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<summary>Source code</summary>
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<pre><code class="python">class SubprocessPOW:
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def __init__(self, data, metadata, subproc_count=None):
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'''
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Onionr proof of work using multiple processes
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Accepts block data, block metadata
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if subproc_count is not set, os.cpu_count() is used to determine the number of processes
|
|
|
|
Do to Python GIL multiprocessing or use of external libraries is necessary to accelerate CPU bound tasks
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'''
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# No known benefit to using more processes than there are cores.
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# Note: os.cpu_count perhaps not always accurate
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if subproc_count is None:
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subproc_count = os.cpu_count()
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self.subproc_count = subproc_count
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self.result = ''
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self.shutdown = False
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self.data = data
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self.metadata = metadata
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# dump dict to measure bytes of json metadata. Cannot reuse later because the pow token must be added
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json_metadata = json.dumps(metadata).encode()
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self.data = bytesconverter.str_to_bytes(data)
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# Calculate difficulty. Dumb for now, may use good algorithm in the future.
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self.difficulty = onionrproofs.getDifficultyForNewBlock(bytes(json_metadata + b'\n' + self.data))
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logger.info('Computing POW (difficulty: %s)...' % (self.difficulty,))
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self.mainHash = '0' * 64
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self.puzzle = self.mainHash[0:min(self.difficulty, len(self.mainHash))]
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self.shutdown = False
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self.payload = None
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def start(self):
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# Create a new thread for each subprocess
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for x in range(self.subproc_count):
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threading.Thread(target=self._spawn_proc).start()
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# Monitor the processes for a payload, shut them down when its found
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while True:
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if self.payload is None:
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time.sleep(0.1)
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else:
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self.shutdown = True
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return self.payload
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def _spawn_proc(self):
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# Create a child proof of work process, wait for data and send shutdown signal when its found
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parent_conn, child_conn = Pipe()
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p = Process(target=self.do_pow, args=(child_conn,))
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p.start()
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p.join()
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payload = None
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try:
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while True:
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data = parent_conn.recv()
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if len(data) >= 1:
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payload = data
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break
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except KeyboardInterrupt:
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pass
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finally:
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parent_conn.send('shutdown')
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self.payload = payload
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def do_pow(self, pipe):
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nonce = -10000000 # Start nonce at negative 10 million so that the chosen nonce is likely to be small in length
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nonceStart = nonce
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data = self.data
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metadata = self.metadata
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puzzle = self.puzzle
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difficulty = self.difficulty
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while True:
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# Break if shutdown received
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if pipe.poll() and pipe.recv() == 'shutdown':
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break
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# Load nonce into block metadata
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metadata['pow'] = nonce
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# Serialize metadata, combine with block data
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payload = json.dumps(metadata).encode() + b'\n' + data
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# Check sha3_256 hash of block, compare to puzzle. Send payload if puzzle finished
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token = crypto.hashers.sha3_hash(payload)
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token = bytesconverter.bytes_to_str(token) # ensure token is string
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if puzzle == token[0:difficulty]:
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pipe.send(payload)
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break
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nonce += 1</code></pre>
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</details>
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<h3>Methods</h3>
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<dl>
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<dt id="onionr.onionrproofs.subprocesspow.SubprocessPOW.do_pow"><code class="name flex">
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<span>def <span class="ident">do_pow</span></span>(<span>self, pipe)</span>
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</code></dt>
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<dd>
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<section class="desc"></section>
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<details class="source">
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<summary>Source code</summary>
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<pre><code class="python">def do_pow(self, pipe):
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nonce = -10000000 # Start nonce at negative 10 million so that the chosen nonce is likely to be small in length
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nonceStart = nonce
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data = self.data
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metadata = self.metadata
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puzzle = self.puzzle
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difficulty = self.difficulty
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while True:
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# Break if shutdown received
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if pipe.poll() and pipe.recv() == 'shutdown':
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break
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# Load nonce into block metadata
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metadata['pow'] = nonce
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# Serialize metadata, combine with block data
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payload = json.dumps(metadata).encode() + b'\n' + data
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# Check sha3_256 hash of block, compare to puzzle. Send payload if puzzle finished
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token = crypto.hashers.sha3_hash(payload)
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token = bytesconverter.bytes_to_str(token) # ensure token is string
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if puzzle == token[0:difficulty]:
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pipe.send(payload)
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break
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nonce += 1</code></pre>
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</details>
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</dd>
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<dt id="onionr.onionrproofs.subprocesspow.SubprocessPOW.start"><code class="name flex">
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<span>def <span class="ident">start</span></span>(<span>self)</span>
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</code></dt>
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<dd>
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<section class="desc"></section>
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<details class="source">
|
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<summary>Source code</summary>
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<pre><code class="python">def start(self):
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# Create a new thread for each subprocess
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for x in range(self.subproc_count):
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threading.Thread(target=self._spawn_proc).start()
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# Monitor the processes for a payload, shut them down when its found
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while True:
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if self.payload is None:
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time.sleep(0.1)
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else:
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self.shutdown = True
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return self.payload</code></pre>
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</details>
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</dd>
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</dl>
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</dd>
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</dl>
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</section>
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</article>
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<nav id="sidebar">
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<h1>Index</h1>
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<div class="toc">
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<ul></ul>
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</div>
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<ul id="index">
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<li><h3>Super-module</h3>
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<ul>
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<li><code><a title="onionr.onionrproofs" href="index.html">onionr.onionrproofs</a></code></li>
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</ul>
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</li>
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<li><h3><a href="#header-classes">Classes</a></h3>
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<ul>
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<li>
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<h4><code><a title="onionr.onionrproofs.subprocesspow.SubprocessPOW" href="#onionr.onionrproofs.subprocesspow.SubprocessPOW">SubprocessPOW</a></code></h4>
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<ul class="">
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<li><code><a title="onionr.onionrproofs.subprocesspow.SubprocessPOW.do_pow" href="#onionr.onionrproofs.subprocesspow.SubprocessPOW.do_pow">do_pow</a></code></li>
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<li><code><a title="onionr.onionrproofs.subprocesspow.SubprocessPOW.start" href="#onionr.onionrproofs.subprocesspow.SubprocessPOW.start">start</a></code></li>
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</ul>
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</li>
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</ul>
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</li>
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</ul>
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</nav>
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