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https://github.com/tahoe-lafs/tahoe-lafs.git
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134 lines
5.3 KiB
Python
134 lines
5.3 KiB
Python
import fec
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import array
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def encode_file(inf, cb, k, m, chunksize=4096):
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"""
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Read in the contents of inf, encode, and call cb with the results.
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First, k "input shares" will be read from inf, each input share being of
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size chunksize. Then these k shares will be encoded into m "result
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shares". Then cb will be invoked, passing a list of the m result shares
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as its first argument, and the length of the encoded data as its second
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argument. (The length of the encoded data is always equal to k*chunksize,
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until the last iteration, when the end of the file has been reached and
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less than k*chunksize bytes could be read from the file.) This procedure
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is iterated until the end of the file is reached, in which case the space
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of the input shares that is unused is filled with zeroes before encoding.
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Note that the sequence passed in calls to cb() contains mutable array
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objects in its first k elements whose contents will be overwritten when
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the next segment is read from the input file. Therefore the
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implementation of cb() has to either be finished with those first k arrays
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before returning, or if it wants to keep the contents of those arrays for
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subsequent use after it has returned then it must make a copy of them to
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keep.
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@param inf the file object from which to read the data
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@param cb the callback to be invoked with the results
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@param k the number of shares required to reconstruct the file
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@param m the total number of shares created
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@param chunksize how much data to read from inf for each of the k input
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shares
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"""
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enc = fec.Encoder(k, m)
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l = tuple([ array.array('c') for i in range(k) ])
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indatasize = k*chunksize # will be reset to shorter upon EOF
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ZEROES=array.array('c', ['\x00'])*chunksize
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while indatasize == k*chunksize:
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# This loop body executes once per segment.
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i = 0
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while (i<len(l)):
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# This loop body executes once per chunk.
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a = l[i]
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i += 1
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del a[:]
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try:
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a.fromfile(inf, chunksize)
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except EOFError:
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indatasize = i*chunksize + len(a)
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# padding
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a.fromstring("\x00" * (chunksize-len(a)))
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while (i<len(l)):
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a[:] = ZEROES
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i += 1
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# print "about to encode()... len(l[0]): %s, l[0]: %s" % (len(l[0]), type(l[0]),),
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res = enc.encode(l)
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# print "...finished to encode()"
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cb(res, indatasize)
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def encode_file_stringy(inf, cb, k, m, chunksize=4096):
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"""
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Read in the contents of inf, encode, and call cb with the results.
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First, k "input shares" will be read from inf, each input share being of
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size chunksize. Then these k shares will be encoded into m "result
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shares". Then cb will be invoked, passing a list of the m result shares
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as its first argument, and the length of the encoded data as its second
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argument. (The length of the encoded data is always equal to k*chunksize,
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until the last iteration, when the end of the file has been reached and
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less than k*chunksize bytes could be read from the file.) This procedure
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is iterated until the end of the file is reached, in which case the space
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of the input shares that is unused is filled with zeroes before encoding.
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@param inf the file object from which to read the data
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@param cb the callback to be invoked with the results
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@param k the number of shares required to reconstruct the file
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@param m the total number of shares created
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@param chunksize how much data to read from inf for each of the k input
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shares
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"""
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enc = fec.Encoder(k, m)
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indatasize = k*chunksize # will be reset to shorter upon EOF
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while indatasize == k*chunksize:
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# This loop body executes once per segment.
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i = 0
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l = []
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ZEROES = '\x00'*chunksize
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while i<k:
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# This loop body executes once per chunk.
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i += 1
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l.append(inf.read(chunksize))
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if len(l[-1]) < chunksize:
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indatasize = i*chunksize + len(l[-1])
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# padding
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l[-1] = l[-1] + "\x00" * (chunksize-len(l[-1]))
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while i<k:
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l.append(ZEROES)
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i += 1
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# print "about to encode()... len(l[0]): %s, l[0]: %s" % (len(l[0]), type(l[0]),),
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res = enc.encode(l)
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# print "...finished to encode()"
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cb(res, indatasize)
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def bench():
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FILESIZE=1000000
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CHUNKSIZE=4096
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import os, time
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left=FILESIZE
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outfile = open("tmpranddata", "wb")
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try:
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while left:
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d = os.urandom(min(left, CHUNKSIZE))
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outfile.write(d)
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left -= len(d)
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outfile.flush()
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outfile = None
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infile = open("tmpranddata", "rb")
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def cb(s, l):
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pass
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st = time.time()
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encode_file(infile, cb, 25, 100, 4096)
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so = time.time()
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infile.close()
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infile = None
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print "Encoded %s byte file in %0.2f seconds, or %0.2f million bytes per second" % (FILESIZE, so-st, FILESIZE/((so-st)*1000000),)
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return so-st
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finally:
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os.remove("tmpranddata")
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