mirror of
https://github.com/tahoe-lafs/tahoe-lafs.git
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214 lines
7.7 KiB
Python
214 lines
7.7 KiB
Python
#! /usr/bin/env python
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from __future__ import print_function
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import random, math, re
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from twisted.python import usage
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class Args(usage.Options):
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optParameters = [
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["mode", "m", "alpha", "validation scheme"],
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["arity", "k", 2, "k (airty) for hash tree"],
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]
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def opt_arity(self, option):
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self['arity'] = int(option)
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def parseArgs(self, *args):
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if len(args) > 0:
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self['mode'] = args[0]
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def charttest():
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import gdchart
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sizes = [random.randrange(10, 20) for i in range(10)]
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x = gdchart.Line()
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x.width = 250
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x.height = 250
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x.xtitle = "sample"
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x.ytitle = "size"
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x.title = "Example Graph"
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#x.ext_color = [ "white", "yellow", "red", "blue", "green"]
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x.setData(sizes)
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#x.setLabels(["Mon", "Tue", "Wed", "Thu", "Fri"])
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x.draw("simple.png")
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KiB=1024
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MiB=1024*KiB
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GiB=1024*MiB
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TiB=1024*GiB
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PiB=1024*TiB
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class Sizes(object):
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def __init__(self, mode, file_size, arity=2):
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MAX_SEGSIZE = 128*KiB
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self.mode = mode
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self.file_size = file_size
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self.seg_size = seg_size = 1.0 * min(MAX_SEGSIZE, file_size)
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self.num_segs = num_segs = math.ceil(file_size / seg_size)
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self.num_blocks = num_blocks = num_segs
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self.num_shares = num_shares = 10
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self.shares_needed = shares_needed = 3
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self.block_size = block_size = seg_size / shares_needed
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self.share_size = share_size = block_size * num_blocks
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# none of this includes the share-level hash chain yet, since that is
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# only a function of the number of shares. All overhead numbers
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# assume that the share-level hash chain has already been sent,
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# including the root of the block-level hash tree.
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if mode == "alpha":
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# no hash tree at all
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self.block_arity = 0
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self.block_tree_depth = 0
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self.block_overhead = 0
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self.bytes_until_some_data = 32 + share_size
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self.share_storage_overhead = 0
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self.share_transmission_overhead = 0
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elif mode == "beta":
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# k=num_blocks, d=1
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# each block has a 32-byte hash
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self.block_arity = num_blocks
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self.block_tree_depth = 1
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self.block_overhead = 32
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# the share has a list of hashes, one for each block
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self.share_storage_overhead = (self.block_overhead *
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num_blocks)
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# we can get away with not sending the hash of the share that
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# we're sending in full, once
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self.share_transmission_overhead = self.share_storage_overhead - 32
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# we must get the whole list (so it can be validated) before
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# any data can be validated
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self.bytes_until_some_data = (self.share_transmission_overhead +
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block_size)
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elif mode == "gamma":
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self.block_arity = k = arity
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d = math.ceil(math.log(num_blocks, k))
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self.block_tree_depth = d
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num_leaves = k ** d
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# to make things easier, we make the pessimistic assumption that
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# we have to store hashes for all the empty places in the tree
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# (when the number of shares is not an exact exponent of k)
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self.block_overhead = 32
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# the block hashes are organized into a k-ary tree, which
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# means storing (and eventually transmitting) more hashes. This
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# count includes all the low-level share hashes and the root.
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hash_nodes = (num_leaves*k - 1) / (k - 1)
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#print "hash_depth", d
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#print "num_leaves", num_leaves
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#print "hash_nodes", hash_nodes
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# the storage overhead is this
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self.share_storage_overhead = 32 * (hash_nodes - 1)
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# the transmission overhead is smaller: if we actually transmit
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# every block, we don't have to transmit 1/k of the
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# lowest-level block hashes, and we don't have to transmit the
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# root because it was already sent with the share-level hash tree
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self.share_transmission_overhead = 32 * (hash_nodes
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- 1 # the root
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- num_leaves / k)
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# we must get a full sibling hash chain before we can validate
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# any data
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sibling_length = d * (k-1)
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self.bytes_until_some_data = 32 * sibling_length + block_size
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else:
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raise ValueError("unknown mode '%s" % mode)
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self.storage_overhead = self.share_storage_overhead * num_shares
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self.storage_overhead_percentage = 100.0 * self.storage_overhead / file_size
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def dump(self):
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for k in ("mode", "file_size", "seg_size",
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"num_segs", "num_blocks", "num_shares", "shares_needed",
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"block_size", "share_size",
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"block_arity", "block_tree_depth",
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"block_overhead",
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"share_storage_overhead", "share_transmission_overhead",
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"storage_overhead", "storage_overhead_percentage",
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"bytes_until_some_data"):
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print(k, getattr(self, k))
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def fmt(num, trim=False):
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if num < KiB:
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#s = str(num) + "#"
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s = "%.2f#" % num
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elif num < MiB:
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s = "%.2fk" % (num / KiB)
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elif num < GiB:
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s = "%.2fM" % (num / MiB)
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elif num < TiB:
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s = "%.2fG" % (num / GiB)
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elif num < PiB:
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s = "%.2fT" % (num / TiB)
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else:
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s = "big"
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if trim:
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s = re.sub(r'(\.0+)([kMGT#])',
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lambda m: m.group(2),
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s)
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else:
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s = re.sub(r'(\.0+)([kMGT#])',
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lambda m: (" "*len(m.group(1))+m.group(2)),
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s)
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if s.endswith("#"):
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s = s[:-1] + " "
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return s
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def text():
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opts = Args()
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opts.parseOptions()
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mode = opts["mode"]
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arity = opts["arity"]
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# 0123456789012345678901234567890123456789012345678901234567890123456
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print("mode=%s" % mode, " arity=%d" % arity)
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print(" storage storage")
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print("Size sharesize overhead overhead k d alacrity")
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print(" (bytes) (%)")
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print("------- ------- -------- -------- ---- -- --------")
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#sizes = [2 ** i for i in range(7, 41)]
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#radix = math.sqrt(10); expstep = 2
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radix = 2; expstep = 2
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#radix = 10; expstep = 1
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maxexp = int(math.ceil(math.log(1e12, radix)))+2
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sizes = [radix ** i for i in range(2,maxexp,expstep)]
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for file_size in sizes:
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s = Sizes(mode, file_size, arity)
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out = ""
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out += "%7s " % fmt(file_size, trim=True)
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out += "%7s " % fmt(s.share_size)
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out += "%8s" % fmt(s.storage_overhead)
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out += "%10.2f " % s.storage_overhead_percentage
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out += " %4d" % int(s.block_arity)
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out += " %2d" % int(s.block_tree_depth)
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out += " %8s" % fmt(s.bytes_until_some_data)
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print(out)
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def graph():
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# doesn't work yet
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import Gnuplot
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opts = Args()
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opts.parseOptions()
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mode = opts["mode"]
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arity = opts["arity"]
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g = Gnuplot.Gnuplot(debug=1)
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g.title("overhead / alacrity tradeoffs")
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g.xlabel("file size")
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g.ylabel("stuff")
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sizes = [2 ** i for i in range(7, 32)]
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series = {"overhead": {}, "alacrity": {}}
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for file_size in sizes:
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s = Sizes(mode, file_size, arity)
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series["overhead"][file_size] = s.storage_overhead_percentage
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series["alacrity"][file_size] = s.bytes_until_some_data
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g.plot([ (fs, series["overhead"][fs])
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for fs in sizes ])
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raw_input("press return")
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if __name__ == '__main__':
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text()
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#graph()
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