zlib 1.2.0.5

This commit is contained in:
Mark Adler
2011-09-09 23:22:37 -07:00
parent 086e982175
commit 4b5a43a219
152 changed files with 14540 additions and 12588 deletions

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@@ -91,40 +91,40 @@ for 30 symbols.
2.2 More details on the inflate table lookup
Ok, you want to know what this cleverly obfuscated inflate tree actually
looks like. You are correct that it's not a Huffman tree. It is simply a
lookup table for the first, let's say, nine bits of a Huffman symbol. The
symbol could be as short as one bit or as long as 15 bits. If a particular
Ok, you want to know what this cleverly obfuscated inflate tree actually
looks like. You are correct that it's not a Huffman tree. It is simply a
lookup table for the first, let's say, nine bits of a Huffman symbol. The
symbol could be as short as one bit or as long as 15 bits. If a particular
symbol is shorter than nine bits, then that symbol's translation is duplicated
in all those entries that start with that symbol's bits. For example, if the
symbol is four bits, then it's duplicated 32 times in a nine-bit table. If a
in all those entries that start with that symbol's bits. For example, if the
symbol is four bits, then it's duplicated 32 times in a nine-bit table. If a
symbol is nine bits long, it appears in the table once.
If the symbol is longer than nine bits, then that entry in the table points
to another similar table for the remaining bits. Again, there are duplicated
If the symbol is longer than nine bits, then that entry in the table points
to another similar table for the remaining bits. Again, there are duplicated
entries as needed. The idea is that most of the time the symbol will be short
and there will only be one table look up. (That's whole idea behind data
compression in the first place.) For the less frequent long symbols, there
will be two lookups. If you had a compression method with really long
symbols, you could have as many levels of lookups as is efficient. For
and there will only be one table look up. (That's whole idea behind data
compression in the first place.) For the less frequent long symbols, there
will be two lookups. If you had a compression method with really long
symbols, you could have as many levels of lookups as is efficient. For
inflate, two is enough.
So a table entry either points to another table (in which case nine bits in
the above example are gobbled), or it contains the translation for the symbol
and the number of bits to gobble. Then you start again with the next
So a table entry either points to another table (in which case nine bits in
the above example are gobbled), or it contains the translation for the symbol
and the number of bits to gobble. Then you start again with the next
ungobbled bit.
You may wonder: why not just have one lookup table for how ever many bits the
longest symbol is? The reason is that if you do that, you end up spending
more time filling in duplicate symbol entries than you do actually decoding.
At least for deflate's output that generates new trees every several 10's of
kbytes. You can imagine that filling in a 2^15 entry table for a 15-bit code
would take too long if you're only decoding several thousand symbols. At the
You may wonder: why not just have one lookup table for how ever many bits the
longest symbol is? The reason is that if you do that, you end up spending
more time filling in duplicate symbol entries than you do actually decoding.
At least for deflate's output that generates new trees every several 10's of
kbytes. You can imagine that filling in a 2^15 entry table for a 15-bit code
would take too long if you're only decoding several thousand symbols. At the
other extreme, you could make a new table for every bit in the code. In fact,
that's essentially a Huffman tree. But then you spend two much time
that's essentially a Huffman tree. But then you spend two much time
traversing the tree while decoding, even for short symbols.
So the number of bits for the first lookup table is a trade of the time to
So the number of bits for the first lookup table is a trade of the time to
fill out the table vs. the time spent looking at the second level and above of
the table.
@@ -154,7 +154,7 @@ Let's make the first table three bits long (eight entries):
110: -> table X (gobble 3 bits)
111: -> table Y (gobble 3 bits)
Each entry is what the bits decode as and how many bits that is, i.e. how
Each entry is what the bits decode as and how many bits that is, i.e. how
many bits to gobble. Or the entry points to another table, with the number of
bits to gobble implicit in the size of the table.
@@ -166,7 +166,7 @@ long:
10: D,2
11: E,2
Table Y is three bits long since the longest code starting with 111 is six
Table Y is three bits long since the longest code starting with 111 is six
bits long:
000: F,2
@@ -178,20 +178,20 @@ bits long:
110: I,3
111: J,3
So what we have here are three tables with a total of 20 entries that had to
be constructed. That's compared to 64 entries for a single table. Or
compared to 16 entries for a Huffman tree (six two entry tables and one four
entry table). Assuming that the code ideally represents the probability of
So what we have here are three tables with a total of 20 entries that had to
be constructed. That's compared to 64 entries for a single table. Or
compared to 16 entries for a Huffman tree (six two entry tables and one four
entry table). Assuming that the code ideally represents the probability of
the symbols, it takes on the average 1.25 lookups per symbol. That's compared
to one lookup for the single table, or 1.66 lookups per symbol for the
to one lookup for the single table, or 1.66 lookups per symbol for the
Huffman tree.
There, I think that gives you a picture of what's going on. For inflate, the
meaning of a particular symbol is often more than just a letter. It can be a
byte (a "literal"), or it can be either a length or a distance which
indicates a base value and a number of bits to fetch after the code that is
added to the base value. Or it might be the special end-of-block code. The
data structures created in inftrees.c try to encode all that information
There, I think that gives you a picture of what's going on. For inflate, the
meaning of a particular symbol is often more than just a letter. It can be a
byte (a "literal"), or it can be either a length or a distance which
indicates a base value and a number of bits to fetch after the code that is
added to the base value. Or it might be the special end-of-block code. The
data structures created in inftrees.c try to encode all that information
compactly in the tables.