forked from openkylin/platform_build
211 lines
7.0 KiB
Python
211 lines
7.0 KiB
Python
# Copyright (C) 2014 The Android Open Source Project
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import bisect
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import os
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import struct
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from hashlib import sha1
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import rangelib
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class SparseImage(object):
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"""Wraps a sparse image file (and optional file map) into an image
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object suitable for passing to BlockImageDiff."""
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def __init__(self, simg_fn, file_map_fn=None):
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self.simg_f = f = open(simg_fn, "rb")
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header_bin = f.read(28)
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header = struct.unpack("<I4H4I", header_bin)
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magic = header[0]
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major_version = header[1]
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minor_version = header[2]
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file_hdr_sz = header[3]
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chunk_hdr_sz = header[4]
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self.blocksize = blk_sz = header[5]
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self.total_blocks = total_blks = header[6]
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total_chunks = header[7]
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if magic != 0xED26FF3A:
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raise ValueError("Magic should be 0xED26FF3A but is 0x%08X" % (magic,))
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if major_version != 1 or minor_version != 0:
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raise ValueError("I know about version 1.0, but this is version %u.%u" %
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(major_version, minor_version))
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if file_hdr_sz != 28:
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raise ValueError("File header size was expected to be 28, but is %u." %
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(file_hdr_sz,))
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if chunk_hdr_sz != 12:
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raise ValueError("Chunk header size was expected to be 12, but is %u." %
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(chunk_hdr_sz,))
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print("Total of %u %u-byte output blocks in %u input chunks."
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% (total_blks, blk_sz, total_chunks))
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pos = 0 # in blocks
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care_data = []
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self.offset_map = offset_map = []
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for i in range(total_chunks):
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header_bin = f.read(12)
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header = struct.unpack("<2H2I", header_bin)
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chunk_type = header[0]
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chunk_sz = header[2]
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total_sz = header[3]
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data_sz = total_sz - 12
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if chunk_type == 0xCAC1:
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if data_sz != (chunk_sz * blk_sz):
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raise ValueError(
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"Raw chunk input size (%u) does not match output size (%u)" %
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(data_sz, chunk_sz * blk_sz))
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else:
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care_data.append(pos)
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care_data.append(pos + chunk_sz)
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offset_map.append((pos, chunk_sz, f.tell(), None))
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pos += chunk_sz
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f.seek(data_sz, os.SEEK_CUR)
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elif chunk_type == 0xCAC2:
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fill_data = f.read(4)
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care_data.append(pos)
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care_data.append(pos + chunk_sz)
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offset_map.append((pos, chunk_sz, None, fill_data))
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pos += chunk_sz
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elif chunk_type == 0xCAC3:
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if data_sz != 0:
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raise ValueError("Don't care chunk input size is non-zero (%u)" %
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(data_sz))
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else:
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pos += chunk_sz
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elif chunk_type == 0xCAC4:
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raise ValueError("CRC32 chunks are not supported")
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else:
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raise ValueError("Unknown chunk type 0x%04X not supported" %
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(chunk_type,))
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self.care_map = rangelib.RangeSet(care_data)
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self.offset_index = [i[0] for i in offset_map]
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if file_map_fn:
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self.LoadFileBlockMap(file_map_fn)
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else:
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self.file_map = {"__DATA": self.care_map}
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def ReadRangeSet(self, ranges):
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return [d for d in self._GetRangeData(ranges)]
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def TotalSha1(self):
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"""Return the SHA-1 hash of all data in the 'care' regions of this image."""
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h = sha1()
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for d in self._GetRangeData(self.care_map):
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h.update(d)
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return h.hexdigest()
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def _GetRangeData(self, ranges):
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"""Generator that produces all the image data in 'ranges'. The
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number of individual pieces returned is arbitrary (and in
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particular is not necessarily equal to the number of ranges in
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'ranges'.
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This generator is stateful -- it depends on the open file object
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contained in this SparseImage, so you should not try to run two
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instances of this generator on the same object simultaneously."""
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f = self.simg_f
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for s, e in ranges:
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to_read = e-s
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idx = bisect.bisect_right(self.offset_index, s) - 1
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chunk_start, chunk_len, filepos, fill_data = self.offset_map[idx]
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# for the first chunk we may be starting partway through it.
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remain = chunk_len - (s - chunk_start)
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this_read = min(remain, to_read)
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if filepos is not None:
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p = filepos + ((s - chunk_start) * self.blocksize)
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f.seek(p, os.SEEK_SET)
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yield f.read(this_read * self.blocksize)
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else:
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yield fill_data * (this_read * (self.blocksize >> 2))
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to_read -= this_read
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while to_read > 0:
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# continue with following chunks if this range spans multiple chunks.
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idx += 1
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chunk_start, chunk_len, filepos, fill_data = self.offset_map[idx]
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this_read = min(chunk_len, to_read)
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if filepos is not None:
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f.seek(filepos, os.SEEK_SET)
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yield f.read(this_read * self.blocksize)
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else:
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yield fill_data * (this_read * (self.blocksize >> 2))
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to_read -= this_read
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def LoadFileBlockMap(self, fn):
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remaining = self.care_map
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self.file_map = out = {}
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with open(fn) as f:
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for line in f:
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fn, ranges = line.split(None, 1)
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ranges = rangelib.RangeSet.parse(ranges)
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out[fn] = ranges
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assert ranges.size() == ranges.intersect(remaining).size()
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remaining = remaining.subtract(ranges)
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# For all the remaining blocks in the care_map (ie, those that
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# aren't part of the data for any file), divide them into blocks
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# that are all zero and blocks that aren't. (Zero blocks are
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# handled specially because (1) there are usually a lot of them
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# and (2) bsdiff handles files with long sequences of repeated
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# bytes especially poorly.)
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zero_blocks = []
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nonzero_blocks = []
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reference = '\0' * self.blocksize
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f = self.simg_f
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for s, e in remaining:
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for b in range(s, e):
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idx = bisect.bisect_right(self.offset_index, b) - 1
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chunk_start, _, filepos, fill_data = self.offset_map[idx]
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if filepos is not None:
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filepos += (b-chunk_start) * self.blocksize
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f.seek(filepos, os.SEEK_SET)
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data = f.read(self.blocksize)
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else:
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if fill_data == reference[:4]: # fill with all zeros
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data = reference
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else:
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data = None
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if data == reference:
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zero_blocks.append(b)
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zero_blocks.append(b+1)
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else:
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nonzero_blocks.append(b)
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nonzero_blocks.append(b+1)
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out["__ZERO"] = rangelib.RangeSet(data=zero_blocks)
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out["__NONZERO"] = rangelib.RangeSet(data=nonzero_blocks)
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def ResetFileMap(self):
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"""Throw away the file map and treat the entire image as
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undifferentiated data."""
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self.file_map = {"__DATA": self.care_map}
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