mirror of
https://github.com/moparisthebest/freespeech
synced 2024-11-21 08:25:00 -05:00
Initial Commit
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db5588f633
2048
english.txt
Normal file
2048
english.txt
Normal file
File diff suppressed because it is too large
Load Diff
192
freespeech.py
Executable file
192
freespeech.py
Executable file
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#!/usr/bin/env python
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"""
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get wordlists from:
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https://github.com/bitcoin/bips/blob/master/bip-0039/bip-0039-wordlists.md
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http://wordnetcode.princeton.edu/3.0/WNdb-3.0.tar.gz
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extract useable nouns from wordnetcode:
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$ cut -d' ' -f 5 data.noun | grep -v _ | grep -v '/' | tr '[A-Z]' '[a-z]' | sort | uniq | wc -l
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40980
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"""
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import sys, argparse
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import math
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from bitstring import ReadError, BitStream, pack
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from collections import deque
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class FreeSpeech:
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def __init__(self, dict_filename, max_words_per_line=10, byte_buffer=65536):
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self.verbose = True
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(self.word_list, self.word_dict) = self.read_dict(dict_filename)
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#print 'word_list:', self.word_list
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#print 'word_dict:', self.word_dict
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self.num_bits = self.min_even_bits(len(self.word_dict))
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#print 'num_bits:', self.num_bits
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self.int_type = 'uint:' + str(self.num_bits)
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#print >> sys.stderr, 'int_type:', self.int_type
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self.max_words_on_line = max_words_per_line
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self.byte_buffer = byte_buffer
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self.bit_buffer = self.byte_buffer * 8
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self.word_count = 0
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def max_int(self, min_bits):
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return math.pow(2, min_bits)
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def min_bits(self, max_int):
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return math.log(max_int) / math.log(2)
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def min_even_bits(self, max_int):
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exact = self.min_bits(max_int)
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#print >> sys.stderr, 'exact:', exact
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floor = int(math.floor(exact))
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if self.verbose and exact != floor:
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print >> sys.stderr, 'There is no exact integer for min_bits, not all words will be used!'
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return floor
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def bits_to_unsigned_int(self, bits):
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num = 0
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index = 0
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for bit in bits:
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if bit == '1':
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num += math.pow(2, index)
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index += 1
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return num
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def file_to_in_stream(self, in_filename):
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return sys.stdin if in_filename == '-' else open(in_filename, 'rb')
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def file_to_out_stream(self, out_filename):
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return sys.stdout if out_filename == '-' else open(out_filename, 'wb')
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def decodeFiles(self, in_filename, out_filename):
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with self.file_to_in_stream(in_filename) as in_stream, self.file_to_out_stream(out_filename) as out_stream:
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self.decode(in_stream, out_stream)
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def encodeFiles(self, in_filename, out_filename):
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with self.file_to_in_stream(in_filename) as in_stream, self.file_to_out_stream(out_filename) as out_stream:
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self.encode(in_stream, out_stream)
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def decode(self, in_stream, out_stream):
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bs = BitStream()
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dq = deque()
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at_least_three = False
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for word in self.words_from_file(in_stream):
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if not word or word not in self.word_dict:
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continue
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#print >> sys.stderr, 'word:"', word, '"'
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dq.append(self.word_dict[word])
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if at_least_three or len(dq) == 3:
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bs.append(pack(self.int_type, dq.popleft()))
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at_least_three = True
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if bs.len > self.bit_buffer:
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cut = 0
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for byte in bs.cut(self.bit_buffer):
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cut += 1
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byte.tofile(out_stream)
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del bs[:cut * self.bit_buffer]
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# dq has to have exactly 2 elements here, the last is the bit length of the first, unless it's 0
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#print >> sys.stderr, 'dq:', dq
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extra_bits = dq.pop()
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bs.append(pack('uint:' + str(extra_bits), dq.popleft()))
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bs.tofile(out_stream)
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def print_index(self, index, out_stream):
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#print self.word_list[index],
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out_stream.write(self.word_list[index])
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self.word_count += 1
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if self.word_count > self.max_words_on_line:
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out_stream.write('\n')
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self.word_count = 0
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else:
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out_stream.write(' ')
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def encode(self, in_stream, out_stream):
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extra_bits = self.num_bits
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bs = BitStream()
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try:
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while True:
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chunk = in_stream.read(self.byte_buffer)
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#print >> sys.stderr, 'chunk:', chunk
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if(chunk):
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bs.append(BitStream(bytes=chunk))
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else:
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while True:
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self.print_index(bs.read(self.int_type), out_stream)
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try:
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while True:
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self.print_index(bs.read(self.int_type), out_stream)
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except ReadError, e:
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#print >> sys.stderr, 'inner:', e
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pass
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except ReadError, e:
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#print >> sys.stderr, 'outer:', e
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extra_bits = bs.len - bs.bitpos
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if extra_bits > 0:
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#print >> sys.stderr, 'extra_bits:', extra_bits
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self.print_index(bs.read('uint:' + str(extra_bits)), out_stream)
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else:
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extra_bits = self.num_bits
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# write extra_bits
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self.print_index(extra_bits, out_stream)
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def words_from_file(self, in_file):
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for line in in_file:
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#print 'line:', line
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words = line.split(' ')
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for word in words:
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word = word.translate(None, '`~!@#$%^&*()-_=+[{]}\|\'";:/?.>,<\t\n\v\f\r').strip()
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if word:
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yield word
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def remove_duplicates(self, values):
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output = []
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seen = set()
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for value in values:
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if value not in seen:
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output.append(value)
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seen.add(value)
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return output
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def read_dict(self, filename):
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ret = []
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with open(filename, 'r') as dict_file:
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for word in self.words_from_file(dict_file):
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ret.append(word.strip())
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ret = self.remove_duplicates(ret)
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index = 0
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ret_dict = {}
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for word in ret:
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ret_dict[word] = index
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index += 1
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return (ret, ret_dict)
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def main(argv=None):
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parser = argparse.ArgumentParser(description='FreeSpeech encode or decode IN_FILE, or standard input, to OUT_FILE or standard output.')
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parser.add_argument('-d', '--decode', dest='decode', action='store_true', help='decode data (default: encode data)')
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parser.add_argument('-i', '--in', dest='in_file', default='-', help='input file (default: - (stdin))')
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parser.add_argument('-o', '--out', dest='out_file', default='-', help='output file (default: - (stdout))')
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parser.add_argument('-m', '--max-words-per-line', dest='max_words_per_line', type=int, default=10, help='maximum words to put on one line (default: 10)')
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parser.add_argument('-b', '--byte-buffer', dest='byte_buffer', type=int, default=65536, help='size of byte buffer used when reading/writing files (default: 65536 (64MB))')
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parser.add_argument('word_list', nargs=1, help='word list file to use, must use the same one for encoding/decoding')
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args = parser.parse_args()
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#print args
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try:
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fs = FreeSpeech(args.word_list[0], args.max_words_per_line, args.byte_buffer)
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if args.decode:
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fs.decodeFiles(args.in_file, args.out_file)
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else:
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fs.encodeFiles(args.in_file, args.out_file)
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return 0
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except:
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return 1
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if __name__ == '__main__':
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sys.exit(main(sys.argv))
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8
readme.md
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8
readme.md
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FreeSpeech
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----------
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The idea here is to encode arbitrary data as human words taken from an arbitrary wordlist of arbitrary length.
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Then, using the same wordlist, be able to decode the words back to the same data as before.
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I will expand on the concept and techniques used later, for now, a working reference implementation can be found in
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freespeech.py. A sample wordlist can be found in english.txt.
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5
test.sh
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test.sh
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#!/bin/bash
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count=$1
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bs=$2
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dd if=/dev/urandom count=$count bs=$bs 2>/dev/null | tee >(md5sum 1>&2) >(./freespeech.py english.txt | ./freespeech.py -d english.txt | md5sum 1>&2) 1>/dev/null 2>&1 | cat
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#dd if=/dev/urandom count=$count bs=$bs 2>/dev/null | tee >(md5sum 1>&2) >(base64 | base64 -di | md5sum 1>&2) 1>/dev/null 2>&1 | cat
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