Merge "Protect SparseImage._GetRangeData() with lock"

            src_ranges = xf.src_ranges

            tgt_ranges = xf.tgt_ranges

            # Needs lock since WriteRangeDataToFd() is stateful (calling seek).

            with lock:

            src_file = common.MakeTempFile(prefix="src-")

            with open(src_file, "wb") as fd:

              self.src.WriteRangeDataToFd(src_ranges, fd)

        src_file = common.MakeTempFile(prefix="src-")

        tgt_file = common.MakeTempFile(prefix="tgt-")

        with transfer_lock:

        with open(src_file, "wb") as src_fd:

          self.src.WriteRangeDataToFd(src_ranges, src_fd)

        with open(tgt_file, "wb") as tgt_fd:

import bisect

import os

import struct

import threading

from hashlib import sha1

import rangelib

        raise ValueError("Unknown chunk type 0x%04X not supported" %

                         (chunk_type,))

    self.generator_lock = threading.Lock()

    self.care_map = rangelib.RangeSet(care_data)

    self.offset_index = [i[0] for i in offset_map]

    particular is not necessarily equal to the number of ranges in

    'ranges'.

    This generator is stateful -- it depends on the open file object

    contained in this SparseImage, so you should not try to run two

    Use a lock to protect the generator so that we will not run two

    instances of this generator on the same object simultaneously."""

    f = self.simg_f

    with self.generator_lock:

      for s, e in ranges:

        to_read = e-s

        idx = bisect.bisect_right(self.offset_index, s) - 1