Adding upstream version 1:10.11.6.upstream/1%10.11.6upstream

Signed-off-by: Daniel Baumann <daniel.baumann@progress-linux.org>

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diff --git a/libmariadb/external/zlib/doc/algorithm.txt b/libmariadb/external/zlib/doc/algorithm.txt
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+1. Compression algorithm (deflate)
+
+The deflation algorithm used by gzip (also zip and zlib) is a variation of
+LZ77 (Lempel-Ziv 1977, see reference below). It finds duplicated strings in
+the input data.  The second occurrence of a string is replaced by a
+pointer to the previous string, in the form of a pair (distance,
+length).  Distances are limited to 32K bytes, and lengths are limited
+to 258 bytes. When a string does not occur anywhere in the previous
+32K bytes, it is emitted as a sequence of literal bytes.  (In this
+description, `string' must be taken as an arbitrary sequence of bytes,
+and is not restricted to printable characters.)
+
+Literals or match lengths are compressed with one Huffman tree, and
+match distances are compressed with another tree. The trees are stored
+in a compact form at the start of each block. The blocks can have any
+size (except that the compressed data for one block must fit in
+available memory). A block is terminated when deflate() determines that
+it would be useful to start another block with fresh trees. (This is
+somewhat similar to the behavior of LZW-based _compress_.)
+
+Duplicated strings are found using a hash table. All input strings of
+length 3 are inserted in the hash table. A hash index is computed for
+the next 3 bytes. If the hash chain for this index is not empty, all
+strings in the chain are compared with the current input string, and
+the longest match is selected.
+
+The hash chains are searched starting with the most recent strings, to
+favor small distances and thus take advantage of the Huffman encoding.
+The hash chains are singly linked. There are no deletions from the
+hash chains, the algorithm simply discards matches that are too old.
+
+To avoid a worst-case situation, very long hash chains are arbitrarily
+truncated at a certain length, determined by a runtime option (level
+parameter of deflateInit). So deflate() does not always find the longest
+possible match but generally finds a match which is long enough.
+
+deflate() also defers the selection of matches with a lazy evaluation
+mechanism. After a match of length N has been found, deflate() searches for
+a longer match at the next input byte. If a longer match is found, the
+previous match is truncated to a length of one (thus producing a single
+literal byte) and the process of lazy evaluation begins again. Otherwise,
+the original match is kept, and the next match search is attempted only N
+steps later.
+
+The lazy match evaluation is also subject to a runtime parameter. If
+the current match is long enough, deflate() reduces the search for a longer
+match, thus speeding up the whole process. If compression ratio is more
+important than speed, deflate() attempts a complete second search even if
+the first match is already long enough.
+
+The lazy match evaluation is not performed for the fastest compression
+modes (level parameter 1 to 3). For these fast modes, new strings
+are inserted in the hash table only when no match was found, or
+when the match is not too long. This degrades the compression ratio
+but saves time since there are both fewer insertions and fewer searches.
+
+
+2. Decompression algorithm (inflate)
+
+2.1 Introduction
+
+The key question is how to represent a Huffman code (or any prefix code) so
+that you can decode fast.  The most important characteristic is that shorter
+codes are much more common than longer codes, so pay attention to decoding the
+short codes fast, and let the long codes take longer to decode.
+
+inflate() sets up a first level table that covers some number of bits of
+input less than the length of longest code.  It gets that many bits from the
+stream, and looks it up in the table.  The table will tell if the next
+code is that many bits or less and how many, and if it is, it will tell
+the value, else it will point to the next level table for which inflate()
+grabs more bits and tries to decode a longer code.
+
+How many bits to make the first lookup is a tradeoff between the time it
+takes to decode and the time it takes to build the table.  If building the
+table took no time (and if you had infinite memory), then there would only
+be a first level table to cover all the way to the longest code.  However,
+building the table ends up taking a lot longer for more bits since short
+codes are replicated many times in such a table.  What inflate() does is
+simply to make the number of bits in the first table a variable, and  then
+to set that variable for the maximum speed.
+
+For inflate, which has 286 possible codes for the literal/length tree, the size
+of the first table is nine bits.  Also the distance trees have 30 possible
+values, and the size of the first table is six bits.  Note that for each of
+those cases, the table ended up one bit longer than the ``average'' code
+length, i.e. the code length of an approximately flat code which would be a
+little more than eight bits for 286 symbols and a little less than five bits
+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
+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
+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
+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
+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
+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
+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 too 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
+fill out the table vs. the time spent looking at the second level and above of
+the table.
+
+Here is an example, scaled down:
+
+The code being decoded, with 10 symbols, from 1 to 6 bits long:
+
+A: 0
+B: 10
+C: 1100
+D: 11010
+E: 11011
+F: 11100
+G: 11101
+H: 11110
+I: 111110
+J: 111111
+
+Let's make the first table three bits long (eight entries):
+
+000: A,1
+001: A,1
+010: A,1
+011: A,1
+100: B,2
+101: B,2
+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
+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.
+
+Table X is two bits long since the longest code starting with 110 is five bits
+long:
+
+00: C,1
+01: C,1
+10: D,2
+11: E,2
+
+Table Y is three bits long since the longest code starting with 111 is six
+bits long:
+
+000: F,2
+001: F,2
+010: G,2
+011: G,2
+100: H,2
+101: H,2
+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
+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
+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
+compactly in the tables.
+
+
+Jean-loup Gailly        Mark Adler
+jloup@gzip.org          madler@alumni.caltech.edu
+
+
+References:
+
+[LZ77] Ziv J., Lempel A., ``A Universal Algorithm for Sequential Data
+Compression,'' IEEE Transactions on Information Theory, Vol. 23, No. 3,
+pp. 337-343.
+
+``DEFLATE Compressed Data Format Specification'' available in
+http://tools.ietf.org/html/rfc1951
diff --git a/libmariadb/external/zlib/doc/rfc1950.txt b/libmariadb/external/zlib/doc/rfc1950.txt
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+
+
+
+
+
+
+Network Working Group                                         P. Deutsch
+Request for Comments: 1950                           Aladdin Enterprises
+Category: Informational                                      J-L. Gailly
+                                                                Info-ZIP
+                                                                May 1996
+
+
+         ZLIB Compressed Data Format Specification version 3.3
+
+Status of This Memo
+
+   This memo provides information for the Internet community.  This memo
+   does not specify an Internet standard of any kind.  Distribution of
+   this memo is unlimited.
+
+IESG Note:
+
+   The IESG takes no position on the validity of any Intellectual
+   Property Rights statements contained in this document.
+
+Notices
+
+   Copyright (c) 1996 L. Peter Deutsch and Jean-Loup Gailly
+
+   Permission is granted to copy and distribute this document for any
+   purpose and without charge, including translations into other
+   languages and incorporation into compilations, provided that the
+   copyright notice and this notice are preserved, and that any
+   substantive changes or deletions from the original are clearly
+   marked.
+
+   A pointer to the latest version of this and related documentation in
+   HTML format can be found at the URL
+   <ftp://ftp.uu.net/graphics/png/documents/zlib/zdoc-index.html>.
+
+Abstract
+
+   This specification defines a lossless compressed data format.  The
+   data can be produced or consumed, even for an arbitrarily long
+   sequentially presented input data stream, using only an a priori
+   bounded amount of intermediate storage.  The format presently uses
+   the DEFLATE compression method but can be easily extended to use
+   other compression methods.  It can be implemented readily in a manner
+   not covered by patents.  This specification also defines the ADLER-32
+   checksum (an extension and improvement of the Fletcher checksum),
+   used for detection of data corruption, and provides an algorithm for
+   computing it.
+
+
+
+
+Deutsch & Gailly             Informational                      [Page 1]
+
+RFC 1950       ZLIB Compressed Data Format Specification        May 1996
+
+
+Table of Contents
+
+   1. Introduction ................................................... 2
+      1.1. Purpose ................................................... 2
+      1.2. Intended audience ......................................... 3
+      1.3. Scope ..................................................... 3
+      1.4. Compliance ................................................ 3
+      1.5.  Definitions of terms and conventions used ................ 3
+      1.6. Changes from previous versions ............................ 3
+   2. Detailed specification ......................................... 3
+      2.1. Overall conventions ....................................... 3
+      2.2. Data format ............................................... 4
+      2.3. Compliance ................................................ 7
+   3. References ..................................................... 7
+   4. Source code .................................................... 8
+   5. Security Considerations ........................................ 8
+   6. Acknowledgements ............................................... 8
+   7. Authors' Addresses ............................................. 8
+   8. Appendix: Rationale ............................................ 9
+   9. Appendix: Sample code ..........................................10
+
+1. Introduction
+
+   1.1. Purpose
+
+      The purpose of this specification is to define a lossless
+      compressed data format that:
+
+          * Is independent of CPU type, operating system, file system,
+            and character set, and hence can be used for interchange;
+
+          * Can be produced or consumed, even for an arbitrarily long
+            sequentially presented input data stream, using only an a
+            priori bounded amount of intermediate storage, and hence can
+            be used in data communications or similar structures such as
+            Unix filters;
+
+          * Can use a number of different compression methods;
+
+          * Can be implemented readily in a manner not covered by
+            patents, and hence can be practiced freely.
+
+      The data format defined by this specification does not attempt to
+      allow random access to compressed data.
+
+
+
+
+
+
+
+Deutsch & Gailly             Informational                      [Page 2]
+
+RFC 1950       ZLIB Compressed Data Format Specification        May 1996
+
+
+   1.2. Intended audience
+
+      This specification is intended for use by implementors of software
+      to compress data into zlib format and/or decompress data from zlib
+      format.
+
+      The text of the specification assumes a basic background in
+      programming at the level of bits and other primitive data
+      representations.
+
+   1.3. Scope
+
+      The specification specifies a compressed data format that can be
+      used for in-memory compression of a sequence of arbitrary bytes.
+
+   1.4. Compliance
+
+      Unless otherwise indicated below, a compliant decompressor must be
+      able to accept and decompress any data set that conforms to all
+      the specifications presented here; a compliant compressor must
+      produce data sets that conform to all the specifications presented
+      here.
+
+   1.5.  Definitions of terms and conventions used
+
+      byte: 8 bits stored or transmitted as a unit (same as an octet).
+      (For this specification, a byte is exactly 8 bits, even on
+      machines which store a character on a number of bits different
+      from 8.) See below, for the numbering of bits within a byte.
+
+   1.6. Changes from previous versions
+
+      Version 3.1 was the first public release of this specification.
+      In version 3.2, some terminology was changed and the Adler-32
+      sample code was rewritten for clarity.  In version 3.3, the
+      support for a preset dictionary was introduced, and the
+      specification was converted to RFC style.
+
+2. Detailed specification
+
+   2.1. Overall conventions
+
+      In the diagrams below, a box like this:
+
+         +---+
+         |   | <-- the vertical bars might be missing
+         +---+
+
+
+
+
+Deutsch & Gailly             Informational                      [Page 3]
+
+RFC 1950       ZLIB Compressed Data Format Specification        May 1996
+
+
+      represents one byte; a box like this:
+
+         +==============+
+         |              |
+         +==============+
+
+      represents a variable number of bytes.
+
+      Bytes stored within a computer do not have a "bit order", since
+      they are always treated as a unit.  However, a byte considered as
+      an integer between 0 and 255 does have a most- and least-
+      significant bit, and since we write numbers with the most-
+      significant digit on the left, we also write bytes with the most-
+      significant bit on the left.  In the diagrams below, we number the
+      bits of a byte so that bit 0 is the least-significant bit, i.e.,
+      the bits are numbered:
+
+         +--------+
+         |76543210|
+         +--------+
+
+      Within a computer, a number may occupy multiple bytes.  All
+      multi-byte numbers in the format described here are stored with
+      the MOST-significant byte first (at the lower memory address).
+      For example, the decimal number 520 is stored as:
+
+             0     1
+         +--------+--------+
+         |00000010|00001000|
+         +--------+--------+
+          ^        ^
+          |        |
+          |        + less significant byte = 8
+          + more significant byte = 2 x 256
+
+   2.2. Data format
+
+      A zlib stream has the following structure:
+
+           0   1
+         +---+---+
+         |CMF|FLG|   (more-->)
+         +---+---+
+
+
+
+
+
+
+
+
+Deutsch & Gailly             Informational                      [Page 4]
+
+RFC 1950       ZLIB Compressed Data Format Specification        May 1996
+
+
+      (if FLG.FDICT set)
+
+           0   1   2   3
+         +---+---+---+---+
+         |     DICTID    |   (more-->)
+         +---+---+---+---+
+
+         +=====================+---+---+---+---+
+         |...compressed data...|    ADLER32    |
+         +=====================+---+---+---+---+
+
+      Any data which may appear after ADLER32 are not part of the zlib
+      stream.
+
+      CMF (Compression Method and flags)
+         This byte is divided into a 4-bit compression method and a 4-
+         bit information field depending on the compression method.
+
+            bits 0 to 3  CM     Compression method
+            bits 4 to 7  CINFO  Compression info
+
+      CM (Compression method)
+         This identifies the compression method used in the file. CM = 8
+         denotes the "deflate" compression method with a window size up
+         to 32K.  This is the method used by gzip and PNG (see
+         references [1] and [2] in Chapter 3, below, for the reference
+         documents).  CM = 15 is reserved.  It might be used in a future
+         version of this specification to indicate the presence of an
+         extra field before the compressed data.
+
+      CINFO (Compression info)
+         For CM = 8, CINFO is the base-2 logarithm of the LZ77 window
+         size, minus eight (CINFO=7 indicates a 32K window size). Values
+         of CINFO above 7 are not allowed in this version of the
+         specification.  CINFO is not defined in this specification for
+         CM not equal to 8.
+
+      FLG (FLaGs)
+         This flag byte is divided as follows:
+
+            bits 0 to 4  FCHECK  (check bits for CMF and FLG)
+            bit  5       FDICT   (preset dictionary)
+            bits 6 to 7  FLEVEL  (compression level)
+
+         The FCHECK value must be such that CMF and FLG, when viewed as
+         a 16-bit unsigned integer stored in MSB order (CMF*256 + FLG),
+         is a multiple of 31.
+
+
+
+
+Deutsch & Gailly             Informational                      [Page 5]
+
+RFC 1950       ZLIB Compressed Data Format Specification        May 1996
+
+
+      FDICT (Preset dictionary)
+         If FDICT is set, a DICT dictionary identifier is present
+         immediately after the FLG byte. The dictionary is a sequence of
+         bytes which are initially fed to the compressor without
+         producing any compressed output. DICT is the Adler-32 checksum
+         of this sequence of bytes (see the definition of ADLER32
+         below).  The decompressor can use this identifier to determine
+         which dictionary has been used by the compressor.
+
+      FLEVEL (Compression level)
+         These flags are available for use by specific compression
+         methods.  The "deflate" method (CM = 8) sets these flags as
+         follows:
+
+            0 - compressor used fastest algorithm
+            1 - compressor used fast algorithm
+            2 - compressor used default algorithm
+            3 - compressor used maximum compression, slowest algorithm
+
+         The information in FLEVEL is not needed for decompression; it
+         is there to indicate if recompression might be worthwhile.
+
+      compressed data
+         For compression method 8, the compressed data is stored in the
+         deflate compressed data format as described in the document
+         "DEFLATE Compressed Data Format Specification" by L. Peter
+         Deutsch. (See reference [3] in Chapter 3, below)
+
+         Other compressed data formats are not specified in this version
+         of the zlib specification.
+
+      ADLER32 (Adler-32 checksum)
+         This contains a checksum value of the uncompressed data
+         (excluding any dictionary data) computed according to Adler-32
+         algorithm. This algorithm is a 32-bit extension and improvement
+         of the Fletcher algorithm, used in the ITU-T X.224 / ISO 8073
+         standard. See references [4] and [5] in Chapter 3, below)
+
+         Adler-32 is composed of two sums accumulated per byte: s1 is
+         the sum of all bytes, s2 is the sum of all s1 values. Both sums
+         are done modulo 65521. s1 is initialized to 1, s2 to zero.  The
+         Adler-32 checksum is stored as s2*65536 + s1 in most-
+         significant-byte first (network) order.
+
+
+
+
+
+
+
+
+Deutsch & Gailly             Informational                      [Page 6]
+
+RFC 1950       ZLIB Compressed Data Format Specification        May 1996
+
+
+   2.3. Compliance
+
+      A compliant compressor must produce streams with correct CMF, FLG
+      and ADLER32, but need not support preset dictionaries.  When the
+      zlib data format is used as part of another standard data format,
+      the compressor may use only preset dictionaries that are specified
+      by this other data format.  If this other format does not use the
+      preset dictionary feature, the compressor must not set the FDICT
+      flag.
+
+      A compliant decompressor must check CMF, FLG, and ADLER32, and
+      provide an error indication if any of these have incorrect values.
+      A compliant decompressor must give an error indication if CM is
+      not one of the values defined in this specification (only the
+      value 8 is permitted in this version), since another value could
+      indicate the presence of new features that would cause subsequent
+      data to be interpreted incorrectly.  A compliant decompressor must
+      give an error indication if FDICT is set and DICTID is not the
+      identifier of a known preset dictionary.  A decompressor may
+      ignore FLEVEL and still be compliant.  When the zlib data format
+      is being used as a part of another standard format, a compliant
+      decompressor must support all the preset dictionaries specified by
+      the other format. When the other format does not use the preset
+      dictionary feature, a compliant decompressor must reject any
+      stream in which the FDICT flag is set.
+
+3. References
+
+   [1] Deutsch, L.P.,"GZIP Compressed Data Format Specification",
+       available in ftp://ftp.uu.net/pub/archiving/zip/doc/
+
+   [2] Thomas Boutell, "PNG (Portable Network Graphics) specification",
+       available in ftp://ftp.uu.net/graphics/png/documents/
+
+   [3] Deutsch, L.P.,"DEFLATE Compressed Data Format Specification",
+       available in ftp://ftp.uu.net/pub/archiving/zip/doc/
+
+   [4] Fletcher, J. G., "An Arithmetic Checksum for Serial
+       Transmissions," IEEE Transactions on Communications, Vol. COM-30,
+       No. 1, January 1982, pp. 247-252.
+
+   [5] ITU-T Recommendation X.224, Annex D, "Checksum Algorithms,"
+       November, 1993, pp. 144, 145. (Available from
+       gopher://info.itu.ch). ITU-T X.244 is also the same as ISO 8073.
+
+
+
+
+
+
+
+Deutsch & Gailly             Informational                      [Page 7]
+
+RFC 1950       ZLIB Compressed Data Format Specification        May 1996
+
+
+4. Source code
+
+   Source code for a C language implementation of a "zlib" compliant
+   library is available at ftp://ftp.uu.net/pub/archiving/zip/zlib/.
+
+5. Security Considerations
+
+   A decoder that fails to check the ADLER32 checksum value may be
+   subject to undetected data corruption.
+
+6. Acknowledgements
+
+   Trademarks cited in this document are the property of their
+   respective owners.
+
+   Jean-Loup Gailly and Mark Adler designed the zlib format and wrote
+   the related software described in this specification.  Glenn
+   Randers-Pehrson converted this document to RFC and HTML format.
+
+7. Authors' Addresses
+
+   L. Peter Deutsch
+   Aladdin Enterprises
+   203 Santa Margarita Ave.
+   Menlo Park, CA 94025
+
+   Phone: (415) 322-0103 (AM only)
+   FAX:   (415) 322-1734
+   EMail: <ghost@aladdin.com>
+
+
+   Jean-Loup Gailly
+
+   EMail: <gzip@prep.ai.mit.edu>
+
+   Questions about the technical content of this specification can be
+   sent by email to
+
+   Jean-Loup Gailly <gzip@prep.ai.mit.edu> and
+   Mark Adler <madler@alumni.caltech.edu>
+
+   Editorial comments on this specification can be sent by email to
+
+   L. Peter Deutsch <ghost@aladdin.com> and
+   Glenn Randers-Pehrson <randeg@alumni.rpi.edu>
+
+
+
+
+
+
+Deutsch & Gailly             Informational                      [Page 8]
+
+RFC 1950       ZLIB Compressed Data Format Specification        May 1996
+
+
+8. Appendix: Rationale
+
+   8.1. Preset dictionaries
+
+      A preset dictionary is specially useful to compress short input
+      sequences. The compressor can take advantage of the dictionary
+      context to encode the input in a more compact manner. The
+      decompressor can be initialized with the appropriate context by
+      virtually decompressing a compressed version of the dictionary
+      without producing any output. However for certain compression
+      algorithms such as the deflate algorithm this operation can be
+      achieved without actually performing any decompression.
+
+      The compressor and the decompressor must use exactly the same
+      dictionary. The dictionary may be fixed or may be chosen among a
+      certain number of predefined dictionaries, according to the kind
+      of input data. The decompressor can determine which dictionary has
+      been chosen by the compressor by checking the dictionary
+      identifier. This document does not specify the contents of
+      predefined dictionaries, since the optimal dictionaries are
+      application specific. Standard data formats using this feature of
+      the zlib specification must precisely define the allowed
+      dictionaries.
+
+   8.2. The Adler-32 algorithm
+
+      The Adler-32 algorithm is much faster than the CRC32 algorithm yet
+      still provides an extremely low probability of undetected errors.
+
+      The modulo on unsigned long accumulators can be delayed for 5552
+      bytes, so the modulo operation time is negligible.  If the bytes
+      are a, b, c, the second sum is 3a + 2b + c + 3, and so is position
+      and order sensitive, unlike the first sum, which is just a
+      checksum.  That 65521 is prime is important to avoid a possible
+      large class of two-byte errors that leave the check unchanged.
+      (The Fletcher checksum uses 255, which is not prime and which also
+      makes the Fletcher check insensitive to single byte changes 0 <->
+      255.)
+
+      The sum s1 is initialized to 1 instead of zero to make the length
+      of the sequence part of s2, so that the length does not have to be
+      checked separately. (Any sequence of zeroes has a Fletcher
+      checksum of zero.)
+
+
+
+
+
+
+
+
+Deutsch & Gailly             Informational                      [Page 9]
+
+RFC 1950       ZLIB Compressed Data Format Specification        May 1996
+
+
+9. Appendix: Sample code
+
+   The following C code computes the Adler-32 checksum of a data buffer.
+   It is written for clarity, not for speed.  The sample code is in the
+   ANSI C programming language. Non C users may find it easier to read
+   with these hints:
+
+      &      Bitwise AND operator.
+      >>     Bitwise right shift operator. When applied to an
+             unsigned quantity, as here, right shift inserts zero bit(s)
+             at the left.
+      <<     Bitwise left shift operator. Left shift inserts zero
+             bit(s) at the right.
+      ++     "n++" increments the variable n.
+      %      modulo operator: a % b is the remainder of a divided by b.
+
+      #define BASE 65521 /* largest prime smaller than 65536 */
+
+      /*
+         Update a running Adler-32 checksum with the bytes buf[0..len-1]
+       and return the updated checksum. The Adler-32 checksum should be
+       initialized to 1.
+
+       Usage example:
+
+         unsigned long adler = 1L;
+
+         while (read_buffer(buffer, length) != EOF) {
+           adler = update_adler32(adler, buffer, length);
+         }
+         if (adler != original_adler) error();
+      */
+      unsigned long update_adler32(unsigned long adler,
+         unsigned char *buf, int len)
+      {
+        unsigned long s1 = adler & 0xffff;
+        unsigned long s2 = (adler >> 16) & 0xffff;
+        int n;
+
+        for (n = 0; n < len; n++) {
+          s1 = (s1 + buf[n]) % BASE;
+          s2 = (s2 + s1)     % BASE;
+        }
+        return (s2 << 16) + s1;
+      }
+
+      /* Return the adler32 of the bytes buf[0..len-1] */
+
+
+
+
+Deutsch & Gailly             Informational                     [Page 10]
+
+RFC 1950       ZLIB Compressed Data Format Specification        May 1996
+
+
+      unsigned long adler32(unsigned char *buf, int len)
+      {
+        return update_adler32(1L, buf, len);
+      }
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
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+
+
+
+
+
+
+
+
+
+
+
+
+
+
+Deutsch & Gailly             Informational                     [Page 11]
+
diff --git a/libmariadb/external/zlib/doc/rfc1951.txt b/libmariadb/external/zlib/doc/rfc1951.txt
new file mode 100644
index 00000000..403c8c72
--- /dev/null
+++ b/libmariadb/external/zlib/doc/rfc1951.txt
@@ -0,0 +1,955 @@
+
+
+
+
+
+
+Network Working Group                                         P. Deutsch
+Request for Comments: 1951                           Aladdin Enterprises
+Category: Informational                                         May 1996
+
+
+        DEFLATE Compressed Data Format Specification version 1.3
+
+Status of This Memo
+
+   This memo provides information for the Internet community.  This memo
+   does not specify an Internet standard of any kind.  Distribution of
+   this memo is unlimited.
+
+IESG Note:
+
+   The IESG takes no position on the validity of any Intellectual
+   Property Rights statements contained in this document.
+
+Notices
+
+   Copyright (c) 1996 L. Peter Deutsch
+
+   Permission is granted to copy and distribute this document for any
+   purpose and without charge, including translations into other
+   languages and incorporation into compilations, provided that the
+   copyright notice and this notice are preserved, and that any
+   substantive changes or deletions from the original are clearly
+   marked.
+
+   A pointer to the latest version of this and related documentation in
+   HTML format can be found at the URL
+   <ftp://ftp.uu.net/graphics/png/documents/zlib/zdoc-index.html>.
+
+Abstract
+
+   This specification defines a lossless compressed data format that
+   compresses data using a combination of the LZ77 algorithm and Huffman
+   coding, with efficiency comparable to the best currently available
+   general-purpose compression methods.  The data can be produced or
+   consumed, even for an arbitrarily long sequentially presented input
+   data stream, using only an a priori bounded amount of intermediate
+   storage.  The format can be implemented readily in a manner not
+   covered by patents.
+
+
+
+
+
+
+
+
+Deutsch                      Informational                      [Page 1]
+
+RFC 1951      DEFLATE Compressed Data Format Specification      May 1996
+
+
+Table of Contents
+
+   1. Introduction ................................................... 2
+      1.1. Purpose ................................................... 2
+      1.2. Intended audience ......................................... 3
+      1.3. Scope ..................................................... 3
+      1.4. Compliance ................................................ 3
+      1.5.  Definitions of terms and conventions used ................ 3
+      1.6. Changes from previous versions ............................ 4
+   2. Compressed representation overview ............................. 4
+   3. Detailed specification ......................................... 5
+      3.1. Overall conventions ....................................... 5
+          3.1.1. Packing into bytes .................................. 5
+      3.2. Compressed block format ................................... 6
+          3.2.1. Synopsis of prefix and Huffman coding ............... 6
+          3.2.2. Use of Huffman coding in the "deflate" format ....... 7
+          3.2.3. Details of block format ............................. 9
+          3.2.4. Non-compressed blocks (BTYPE=00) ................... 11
+          3.2.5. Compressed blocks (length and distance codes) ...... 11
+          3.2.6. Compression with fixed Huffman codes (BTYPE=01) .... 12
+          3.2.7. Compression with dynamic Huffman codes (BTYPE=10) .. 13
+      3.3. Compliance ............................................... 14
+   4. Compression algorithm details ................................. 14
+   5. References .................................................... 16
+   6. Security Considerations ....................................... 16
+   7. Source code ................................................... 16
+   8. Acknowledgements .............................................. 16
+   9. Author's Address .............................................. 17
+
+1. Introduction
+
+   1.1. Purpose
+
+      The purpose of this specification is to define a lossless
+      compressed data format that:
+          * Is independent of CPU type, operating system, file system,
+            and character set, and hence can be used for interchange;
+          * Can be produced or consumed, even for an arbitrarily long
+            sequentially presented input data stream, using only an a
+            priori bounded amount of intermediate storage, and hence
+            can be used in data communications or similar structures
+            such as Unix filters;
+          * Compresses data with efficiency comparable to the best
+            currently available general-purpose compression methods,
+            and in particular considerably better than the "compress"
+            program;
+          * Can be implemented readily in a manner not covered by
+            patents, and hence can be practiced freely;
+
+
+
+Deutsch                      Informational                      [Page 2]
+
+RFC 1951      DEFLATE Compressed Data Format Specification      May 1996
+
+
+          * Is compatible with the file format produced by the current
+            widely used gzip utility, in that conforming decompressors
+            will be able to read data produced by the existing gzip
+            compressor.
+
+      The data format defined by this specification does not attempt to:
+
+          * Allow random access to compressed data;
+          * Compress specialized data (e.g., raster graphics) as well
+            as the best currently available specialized algorithms.
+
+      A simple counting argument shows that no lossless compression
+      algorithm can compress every possible input data set.  For the
+      format defined here, the worst case expansion is 5 bytes per 32K-
+      byte block, i.e., a size increase of 0.015% for large data sets.
+      English text usually compresses by a factor of 2.5 to 3;
+      executable files usually compress somewhat less; graphical data
+      such as raster images may compress much more.
+
+   1.2. Intended audience
+
+      This specification is intended for use by implementors of software
+      to compress data into "deflate" format and/or decompress data from
+      "deflate" format.
+
+      The text of the specification assumes a basic background in
+      programming at the level of bits and other primitive data
+      representations.  Familiarity with the technique of Huffman coding
+      is helpful but not required.
+
+   1.3. Scope
+
+      The specification specifies a method for representing a sequence
+      of bytes as a (usually shorter) sequence of bits, and a method for
+      packing the latter bit sequence into bytes.
+
+   1.4. Compliance
+
+      Unless otherwise indicated below, a compliant decompressor must be
+      able to accept and decompress any data set that conforms to all
+      the specifications presented here; a compliant compressor must
+      produce data sets that conform to all the specifications presented
+      here.
+
+   1.5.  Definitions of terms and conventions used
+
+      Byte: 8 bits stored or transmitted as a unit (same as an octet).
+      For this specification, a byte is exactly 8 bits, even on machines
+
+
+
+Deutsch                      Informational                      [Page 3]
+
+RFC 1951      DEFLATE Compressed Data Format Specification      May 1996
+
+
+      which store a character on a number of bits different from eight.
+      See below, for the numbering of bits within a byte.
+
+      String: a sequence of arbitrary bytes.
+
+   1.6. Changes from previous versions
+
+      There have been no technical changes to the deflate format since
+      version 1.1 of this specification.  In version 1.2, some
+      terminology was changed.  Version 1.3 is a conversion of the
+      specification to RFC style.
+
+2. Compressed representation overview
+
+   A compressed data set consists of a series of blocks, corresponding
+   to successive blocks of input data.  The block sizes are arbitrary,
+   except that non-compressible blocks are limited to 65,535 bytes.
+
+   Each block is compressed using a combination of the LZ77 algorithm
+   and Huffman coding. The Huffman trees for each block are independent
+   of those for previous or subsequent blocks; the LZ77 algorithm may
+   use a reference to a duplicated string occurring in a previous block,
+   up to 32K input bytes before.
+
+   Each block consists of two parts: a pair of Huffman code trees that
+   describe the representation of the compressed data part, and a
+   compressed data part.  (The Huffman trees themselves are compressed
+   using Huffman encoding.)  The compressed data consists of a series of
+   elements of two types: literal bytes (of strings that have not been
+   detected as duplicated within the previous 32K input bytes), and
+   pointers to duplicated strings, where a pointer is represented as a
+   pair <length, backward distance>.  The representation used in the
+   "deflate" format limits distances to 32K bytes and lengths to 258
+   bytes, but does not limit the size of a block, except for
+   uncompressible blocks, which are limited as noted above.
+
+   Each type of value (literals, distances, and lengths) in the
+   compressed data is represented using a Huffman code, using one code
+   tree for literals and lengths and a separate code tree for distances.
+   The code trees for each block appear in a compact form just before
+   the compressed data for that block.
+
+
+
+
+
+
+
+
+
+
+Deutsch                      Informational                      [Page 4]
+
+RFC 1951      DEFLATE Compressed Data Format Specification      May 1996
+
+
+3. Detailed specification
+
+   3.1. Overall conventions In the diagrams below, a box like this:
+
+         +---+
+         |   | <-- the vertical bars might be missing
+         +---+
+
+      represents one byte; a box like this:
+
+         +==============+
+         |              |
+         +==============+
+
+      represents a variable number of bytes.
+
+      Bytes stored within a computer do not have a "bit order", since
+      they are always treated as a unit.  However, a byte considered as
+      an integer between 0 and 255 does have a most- and least-
+      significant bit, and since we write numbers with the most-
+      significant digit on the left, we also write bytes with the most-
+      significant bit on the left.  In the diagrams below, we number the
+      bits of a byte so that bit 0 is the least-significant bit, i.e.,
+      the bits are numbered:
+
+         +--------+
+         |76543210|
+         +--------+
+
+      Within a computer, a number may occupy multiple bytes.  All
+      multi-byte numbers in the format described here are stored with
+      the least-significant byte first (at the lower memory address).
+      For example, the decimal number 520 is stored as:
+
+             0        1
+         +--------+--------+
+         |00001000|00000010|
+         +--------+--------+
+          ^        ^
+          |        |
+          |        + more significant byte = 2 x 256
+          + less significant byte = 8
+
+      3.1.1. Packing into bytes
+
+         This document does not address the issue of the order in which
+         bits of a byte are transmitted on a bit-sequential medium,
+         since the final data format described here is byte- rather than
+
+
+
+Deutsch                      Informational                      [Page 5]
+
+RFC 1951      DEFLATE Compressed Data Format Specification      May 1996
+
+
+         bit-oriented.  However, we describe the compressed block format
+         in below, as a sequence of data elements of various bit
+         lengths, not a sequence of bytes.  We must therefore specify
+         how to pack these data elements into bytes to form the final
+         compressed byte sequence:
+
+             * Data elements are packed into bytes in order of
+               increasing bit number within the byte, i.e., starting
+               with the least-significant bit of the byte.
+             * Data elements other than Huffman codes are packed
+               starting with the least-significant bit of the data
+               element.
+             * Huffman codes are packed starting with the most-
+               significant bit of the code.
+
+         In other words, if one were to print out the compressed data as
+         a sequence of bytes, starting with the first byte at the
+         *right* margin and proceeding to the *left*, with the most-
+         significant bit of each byte on the left as usual, one would be
+         able to parse the result from right to left, with fixed-width
+         elements in the correct MSB-to-LSB order and Huffman codes in
+         bit-reversed order (i.e., with the first bit of the code in the
+         relative LSB position).
+
+   3.2. Compressed block format
+
+      3.2.1. Synopsis of prefix and Huffman coding
+
+         Prefix coding represents symbols from an a priori known
+         alphabet by bit sequences (codes), one code for each symbol, in
+         a manner such that different symbols may be represented by bit
+         sequences of different lengths, but a parser can always parse
+         an encoded string unambiguously symbol-by-symbol.
+
+         We define a prefix code in terms of a binary tree in which the
+         two edges descending from each non-leaf node are labeled 0 and
+         1 and in which the leaf nodes correspond one-for-one with (are
+         labeled with) the symbols of the alphabet; then the code for a
+         symbol is the sequence of 0's and 1's on the edges leading from
+         the root to the leaf labeled with that symbol.  For example:
+
+
+
+
+
+
+
+
+
+
+
+Deutsch                      Informational                      [Page 6]
+
+RFC 1951      DEFLATE Compressed Data Format Specification      May 1996
+
+
+                          /\              Symbol    Code
+                         0  1             ------    ----
+                        /    \                A      00
+                       /\     B               B       1
+                      0  1                    C     011
+                     /    \                   D     010
+                    A     /\
+                         0  1
+                        /    \
+                       D      C
+
+         A parser can decode the next symbol from an encoded input
+         stream by walking down the tree from the root, at each step
+         choosing the edge corresponding to the next input bit.
+
+         Given an alphabet with known symbol frequencies, the Huffman
+         algorithm allows the construction of an optimal prefix code
+         (one which represents strings with those symbol frequencies
+         using the fewest bits of any possible prefix codes for that
+         alphabet).  Such a code is called a Huffman code.  (See
+         reference [1] in Chapter 5, references for additional
+         information on Huffman codes.)
+
+         Note that in the "deflate" format, the Huffman codes for the
+         various alphabets must not exceed certain maximum code lengths.
+         This constraint complicates the algorithm for computing code
+         lengths from symbol frequencies.  Again, see Chapter 5,
+         references for details.
+
+      3.2.2. Use of Huffman coding in the "deflate" format
+
+         The Huffman codes used for each alphabet in the "deflate"
+         format have two additional rules:
+
+             * All codes of a given bit length have lexicographically
+               consecutive values, in the same order as the symbols
+               they represent;
+
+             * Shorter codes lexicographically precede longer codes.
+
+
+
+
+
+
+
+
+
+
+
+
+Deutsch                      Informational                      [Page 7]
+
+RFC 1951      DEFLATE Compressed Data Format Specification      May 1996
+
+
+         We could recode the example above to follow this rule as
+         follows, assuming that the order of the alphabet is ABCD:
+
+            Symbol  Code
+            ------  ----
+            A       10
+            B       0
+            C       110
+            D       111
+
+         I.e., 0 precedes 10 which precedes 11x, and 110 and 111 are
+         lexicographically consecutive.
+
+         Given this rule, we can define the Huffman code for an alphabet
+         just by giving the bit lengths of the codes for each symbol of
+         the alphabet in order; this is sufficient to determine the
+         actual codes.  In our example, the code is completely defined
+         by the sequence of bit lengths (2, 1, 3, 3).  The following
+         algorithm generates the codes as integers, intended to be read
+         from most- to least-significant bit.  The code lengths are
+         initially in tree[I].Len; the codes are produced in
+         tree[I].Code.
+
+         1)  Count the number of codes for each code length.  Let
+             bl_count[N] be the number of codes of length N, N >= 1.
+
+         2)  Find the numerical value of the smallest code for each
+             code length:
+
+                code = 0;
+                bl_count[0] = 0;
+                for (bits = 1; bits <= MAX_BITS; bits++) {
+                    code = (code + bl_count[bits-1]) << 1;
+                    next_code[bits] = code;
+                }
+
+         3)  Assign numerical values to all codes, using consecutive
+             values for all codes of the same length with the base
+             values determined at step 2. Codes that are never used
+             (which have a bit length of zero) must not be assigned a
+             value.
+
+                for (n = 0;  n <= max_code; n++) {
+                    len = tree[n].Len;
+                    if (len != 0) {
+                        tree[n].Code = next_code[len];
+                        next_code[len]++;
+                    }
+
+
+
+Deutsch                      Informational                      [Page 8]
+
+RFC 1951      DEFLATE Compressed Data Format Specification      May 1996
+
+
+                }
+
+         Example:
+
+         Consider the alphabet ABCDEFGH, with bit lengths (3, 3, 3, 3,
+         3, 2, 4, 4).  After step 1, we have:
+
+            N      bl_count[N]
+            -      -----------
+            2      1
+            3      5
+            4      2
+
+         Step 2 computes the following next_code values:
+
+            N      next_code[N]
+            -      ------------
+            1      0
+            2      0
+            3      2
+            4      14
+
+         Step 3 produces the following code values:
+
+            Symbol Length   Code
+            ------ ------   ----
+            A       3        010
+            B       3        011
+            C       3        100
+            D       3        101
+            E       3        110
+            F       2         00
+            G       4       1110
+            H       4       1111
+
+      3.2.3. Details of block format
+
+         Each block of compressed data begins with 3 header bits
+         containing the following data:
+
+            first bit       BFINAL
+            next 2 bits     BTYPE
+
+         Note that the header bits do not necessarily begin on a byte
+         boundary, since a block does not necessarily occupy an integral
+         number of bytes.
+
+
+
+
+
+Deutsch                      Informational                      [Page 9]
+
+RFC 1951      DEFLATE Compressed Data Format Specification      May 1996
+
+
+         BFINAL is set if and only if this is the last block of the data
+         set.
+
+         BTYPE specifies how the data are compressed, as follows:
+
+            00 - no compression
+            01 - compressed with fixed Huffman codes
+            10 - compressed with dynamic Huffman codes
+            11 - reserved (error)
+
+         The only difference between the two compressed cases is how the
+         Huffman codes for the literal/length and distance alphabets are
+         defined.
+
+         In all cases, the decoding algorithm for the actual data is as
+         follows:
+
+            do
+               read block header from input stream.
+               if stored with no compression
+                  skip any remaining bits in current partially
+                     processed byte
+                  read LEN and NLEN (see next section)
+                  copy LEN bytes of data to output
+               otherwise
+                  if compressed with dynamic Huffman codes
+                     read representation of code trees (see
+                        subsection below)
+                  loop (until end of block code recognized)
+                     decode literal/length value from input stream
+                     if value < 256
+                        copy value (literal byte) to output stream
+                     otherwise
+                        if value = end of block (256)
+                           break from loop
+                        otherwise (value = 257..285)
+                           decode distance from input stream
+
+                           move backwards distance bytes in the output
+                           stream, and copy length bytes from this
+                           position to the output stream.
+                  end loop
+            while not last block
+
+         Note that a duplicated string reference may refer to a string
+         in a previous block; i.e., the backward distance may cross one
+         or more block boundaries.  However a distance cannot refer past
+         the beginning of the output stream.  (An application using a
+
+
+
+Deutsch                      Informational                     [Page 10]
+
+RFC 1951      DEFLATE Compressed Data Format Specification      May 1996
+
+
+         preset dictionary might discard part of the output stream; a
+         distance can refer to that part of the output stream anyway)
+         Note also that the referenced string may overlap the current
+         position; for example, if the last 2 bytes decoded have values
+         X and Y, a string reference with <length = 5, distance = 2>
+         adds X,Y,X,Y,X to the output stream.
+
+         We now specify each compression method in turn.
+
+      3.2.4. Non-compressed blocks (BTYPE=00)
+
+         Any bits of input up to the next byte boundary are ignored.
+         The rest of the block consists of the following information:
+
+              0   1   2   3   4...
+            +---+---+---+---+================================+
+            |  LEN  | NLEN  |... LEN bytes of literal data...|
+            +---+---+---+---+================================+
+
+         LEN is the number of data bytes in the block.  NLEN is the
+         one's complement of LEN.
+
+      3.2.5. Compressed blocks (length and distance codes)
+
+         As noted above, encoded data blocks in the "deflate" format
+         consist of sequences of symbols drawn from three conceptually
+         distinct alphabets: either literal bytes, from the alphabet of
+         byte values (0..255), or <length, backward distance> pairs,
+         where the length is drawn from (3..258) and the distance is
+         drawn from (1..32,768).  In fact, the literal and length
+         alphabets are merged into a single alphabet (0..285), where
+         values 0..255 represent literal bytes, the value 256 indicates
+         end-of-block, and values 257..285 represent length codes
+         (possibly in conjunction with extra bits following the symbol
+         code) as follows:
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+Deutsch                      Informational                     [Page 11]
+
+RFC 1951      DEFLATE Compressed Data Format Specification      May 1996
+
+
+                 Extra               Extra               Extra
+            Code Bits Length(s) Code Bits Lengths   Code Bits Length(s)
+            ---- ---- ------     ---- ---- -------   ---- ---- -------
+             257   0     3       267   1   15,16     277   4   67-82
+             258   0     4       268   1   17,18     278   4   83-98
+             259   0     5       269   2   19-22     279   4   99-114
+             260   0     6       270   2   23-26     280   4  115-130
+             261   0     7       271   2   27-30     281   5  131-162
+             262   0     8       272   2   31-34     282   5  163-194
+             263   0     9       273   3   35-42     283   5  195-226
+             264   0    10       274   3   43-50     284   5  227-257
+             265   1  11,12      275   3   51-58     285   0    258
+             266   1  13,14      276   3   59-66
+
+         The extra bits should be interpreted as a machine integer
+         stored with the most-significant bit first, e.g., bits 1110
+         represent the value 14.
+
+                  Extra           Extra               Extra
+             Code Bits Dist  Code Bits   Dist     Code Bits Distance
+             ---- ---- ----  ---- ----  ------    ---- ---- --------
+               0   0    1     10   4     33-48    20    9   1025-1536
+               1   0    2     11   4     49-64    21    9   1537-2048
+               2   0    3     12   5     65-96    22   10   2049-3072
+               3   0    4     13   5     97-128   23   10   3073-4096
+               4   1   5,6    14   6    129-192   24   11   4097-6144
+               5   1   7,8    15   6    193-256   25   11   6145-8192
+               6   2   9-12   16   7    257-384   26   12  8193-12288
+               7   2  13-16   17   7    385-512   27   12 12289-16384
+               8   3  17-24   18   8    513-768   28   13 16385-24576
+               9   3  25-32   19   8   769-1024   29   13 24577-32768
+
+      3.2.6. Compression with fixed Huffman codes (BTYPE=01)
+
+         The Huffman codes for the two alphabets are fixed, and are not
+         represented explicitly in the data.  The Huffman code lengths
+         for the literal/length alphabet are:
+
+                   Lit Value    Bits        Codes
+                   ---------    ----        -----
+                     0 - 143     8          00110000 through
+                                            10111111
+                   144 - 255     9          110010000 through
+                                            111111111
+                   256 - 279     7          0000000 through
+                                            0010111
+                   280 - 287     8          11000000 through
+                                            11000111
+
+
+
+Deutsch                      Informational                     [Page 12]
+
+RFC 1951      DEFLATE Compressed Data Format Specification      May 1996
+
+
+         The code lengths are sufficient to generate the actual codes,
+         as described above; we show the codes in the table for added
+         clarity.  Literal/length values 286-287 will never actually
+         occur in the compressed data, but participate in the code
+         construction.
+
+         Distance codes 0-31 are represented by (fixed-length) 5-bit
+         codes, with possible additional bits as shown in the table
+         shown in Paragraph 3.2.5, above.  Note that distance codes 30-
+         31 will never actually occur in the compressed data.
+
+      3.2.7. Compression with dynamic Huffman codes (BTYPE=10)
+
+         The Huffman codes for the two alphabets appear in the block
+         immediately after the header bits and before the actual
+         compressed data, first the literal/length code and then the
+         distance code.  Each code is defined by a sequence of code
+         lengths, as discussed in Paragraph 3.2.2, above.  For even
+         greater compactness, the code length sequences themselves are
+         compressed using a Huffman code.  The alphabet for code lengths
+         is as follows:
+
+               0 - 15: Represent code lengths of 0 - 15
+                   16: Copy the previous code length 3 - 6 times.
+                       The next 2 bits indicate repeat length
+                             (0 = 3, ... , 3 = 6)
+                          Example:  Codes 8, 16 (+2 bits 11),
+                                    16 (+2 bits 10) will expand to
+                                    12 code lengths of 8 (1 + 6 + 5)
+                   17: Repeat a code length of 0 for 3 - 10 times.
+                       (3 bits of length)
+                   18: Repeat a code length of 0 for 11 - 138 times
+                       (7 bits of length)
+
+         A code length of 0 indicates that the corresponding symbol in
+         the literal/length or distance alphabet will not occur in the
+         block, and should not participate in the Huffman code
+         construction algorithm given earlier.  If only one distance
+         code is used, it is encoded using one bit, not zero bits; in
+         this case there is a single code length of one, with one unused
+         code.  One distance code of zero bits means that there are no
+         distance codes used at all (the data is all literals).
+
+         We can now define the format of the block:
+
+               5 Bits: HLIT, # of Literal/Length codes - 257 (257 - 286)
+               5 Bits: HDIST, # of Distance codes - 1        (1 - 32)
+               4 Bits: HCLEN, # of Code Length codes - 4     (4 - 19)
+
+
+
+Deutsch                      Informational                     [Page 13]
+
+RFC 1951      DEFLATE Compressed Data Format Specification      May 1996
+
+
+               (HCLEN + 4) x 3 bits: code lengths for the code length
+                  alphabet given just above, in the order: 16, 17, 18,
+                  0, 8, 7, 9, 6, 10, 5, 11, 4, 12, 3, 13, 2, 14, 1, 15
+
+                  These code lengths are interpreted as 3-bit integers
+                  (0-7); as above, a code length of 0 means the
+                  corresponding symbol (literal/length or distance code
+                  length) is not used.
+
+               HLIT + 257 code lengths for the literal/length alphabet,
+                  encoded using the code length Huffman code
+
+               HDIST + 1 code lengths for the distance alphabet,
+                  encoded using the code length Huffman code
+
+               The actual compressed data of the block,
+                  encoded using the literal/length and distance Huffman
+                  codes
+
+               The literal/length symbol 256 (end of data),
+                  encoded using the literal/length Huffman code
+
+         The code length repeat codes can cross from HLIT + 257 to the
+         HDIST + 1 code lengths.  In other words, all code lengths form
+         a single sequence of HLIT + HDIST + 258 values.
+
+   3.3. Compliance
+
+      A compressor may limit further the ranges of values specified in
+      the previous section and still be compliant; for example, it may
+      limit the range of backward pointers to some value smaller than
+      32K.  Similarly, a compressor may limit the size of blocks so that
+      a compressible block fits in memory.
+
+      A compliant decompressor must accept the full range of possible
+      values defined in the previous section, and must accept blocks of
+      arbitrary size.
+
+4. Compression algorithm details
+
+   While it is the intent of this document to define the "deflate"
+   compressed data format without reference to any particular
+   compression algorithm, the format is related to the compressed
+   formats produced by LZ77 (Lempel-Ziv 1977, see reference [2] below);
+   since many variations of LZ77 are patented, it is strongly
+   recommended that the implementor of a compressor follow the general
+   algorithm presented here, which is known not to be patented per se.
+   The material in this section is not part of the definition of the
+
+
+
+Deutsch                      Informational                     [Page 14]
+
+RFC 1951      DEFLATE Compressed Data Format Specification      May 1996
+
+
+   specification per se, and a compressor need not follow it in order to
+   be compliant.
+
+   The compressor terminates a block when it determines that starting a
+   new block with fresh trees would be useful, or when the block size
+   fills up the compressor's block buffer.
+
+   The compressor uses a chained hash table to find duplicated strings,
+   using a hash function that operates on 3-byte sequences.  At any
+   given point during compression, let XYZ be the next 3 input bytes to
+   be examined (not necessarily all different, of course).  First, the
+   compressor examines the hash chain for XYZ.  If the chain is empty,
+   the compressor simply writes out X as a literal byte and advances one
+   byte in the input.  If the hash chain is not empty, indicating that
+   the sequence XYZ (or, if we are unlucky, some other 3 bytes with the
+   same hash function value) has occurred recently, the compressor
+   compares all strings on the XYZ hash chain with the actual input data
+   sequence starting at the current point, and selects the longest
+   match.
+
+   The compressor searches the hash chains starting with the most recent
+   strings, to favor small distances and thus take advantage of the
+   Huffman encoding.  The hash chains are singly linked. There are no
+   deletions from the hash chains; the algorithm simply discards matches
+   that are too old.  To avoid a worst-case situation, very long hash
+   chains are arbitrarily truncated at a certain length, determined by a
+   run-time parameter.
+
+   To improve overall compression, the compressor optionally defers the
+   selection of matches ("lazy matching"): after a match of length N has
+   been found, the compressor searches for a longer match starting at
+   the next input byte.  If it finds a longer match, it truncates the
+   previous match to a length of one (thus producing a single literal
+   byte) and then emits the longer match.  Otherwise, it emits the
+   original match, and, as described above, advances N bytes before
+   continuing.
+
+   Run-time parameters also control this "lazy match" procedure.  If
+   compression ratio is most important, the compressor attempts a
+   complete second search regardless of the length of the first match.
+   In the normal case, if the current match is "long enough", the
+   compressor reduces the search for a longer match, thus speeding up
+   the process.  If speed is most important, the compressor inserts new
+   strings in the hash table only when no match was found, or when the
+   match is not "too long".  This degrades the compression ratio but
+   saves time since there are both fewer insertions and fewer searches.
+
+
+
+
+
+Deutsch                      Informational                     [Page 15]
+
+RFC 1951      DEFLATE Compressed Data Format Specification      May 1996
+
+
+5. References
+
+   [1] Huffman, D. A., "A Method for the Construction of Minimum
+       Redundancy Codes", Proceedings of the Institute of Radio
+       Engineers, September 1952, Volume 40, Number 9, pp. 1098-1101.
+
+   [2] Ziv J., Lempel A., "A Universal Algorithm for Sequential Data
+       Compression", IEEE Transactions on Information Theory, Vol. 23,
+       No. 3, pp. 337-343.
+
+   [3] Gailly, J.-L., and Adler, M., ZLIB documentation and sources,
+       available in ftp://ftp.uu.net/pub/archiving/zip/doc/
+
+   [4] Gailly, J.-L., and Adler, M., GZIP documentation and sources,
+       available as gzip-*.tar in ftp://prep.ai.mit.edu/pub/gnu/
+
+   [5] Schwartz, E. S., and Kallick, B. "Generating a canonical prefix
+       encoding." Comm. ACM, 7,3 (Mar. 1964), pp. 166-169.
+
+   [6] Hirschberg and Lelewer, "Efficient decoding of prefix codes,"
+       Comm. ACM, 33,4, April 1990, pp. 449-459.
+
+6. Security Considerations
+
+   Any data compression method involves the reduction of redundancy in
+   the data.  Consequently, any corruption of the data is likely to have
+   severe effects and be difficult to correct.  Uncompressed text, on
+   the other hand, will probably still be readable despite the presence
+   of some corrupted bytes.
+
+   It is recommended that systems using this data format provide some
+   means of validating the integrity of the compressed data.  See
+   reference [3], for example.
+
+7. Source code
+
+   Source code for a C language implementation of a "deflate" compliant
+   compressor and decompressor is available within the zlib package at
+   ftp://ftp.uu.net/pub/archiving/zip/zlib/.
+
+8. Acknowledgements
+
+   Trademarks cited in this document are the property of their
+   respective owners.
+
+   Phil Katz designed the deflate format.  Jean-Loup Gailly and Mark
+   Adler wrote the related software described in this specification.
+   Glenn Randers-Pehrson converted this document to RFC and HTML format.
+
+
+
+Deutsch                      Informational                     [Page 16]
+
+RFC 1951      DEFLATE Compressed Data Format Specification      May 1996
+
+
+9. Author's Address
+
+   L. Peter Deutsch
+   Aladdin Enterprises
+   203 Santa Margarita Ave.
+   Menlo Park, CA 94025
+
+   Phone: (415) 322-0103 (AM only)
+   FAX:   (415) 322-1734
+   EMail: <ghost@aladdin.com>
+
+   Questions about the technical content of this specification can be
+   sent by email to:
+
+   Jean-Loup Gailly <gzip@prep.ai.mit.edu> and
+   Mark Adler <madler@alumni.caltech.edu>
+
+   Editorial comments on this specification can be sent by email to:
+
+   L. Peter Deutsch <ghost@aladdin.com> and
+   Glenn Randers-Pehrson <randeg@alumni.rpi.edu>
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+Deutsch                      Informational                     [Page 17]
+
diff --git a/libmariadb/external/zlib/doc/rfc1952.txt b/libmariadb/external/zlib/doc/rfc1952.txt
new file mode 100644
index 00000000..a8e51b45
--- /dev/null
+++ b/libmariadb/external/zlib/doc/rfc1952.txt
@@ -0,0 +1,675 @@
+
+
+
+
+
+
+Network Working Group                                         P. Deutsch
+Request for Comments: 1952                           Aladdin Enterprises
+Category: Informational                                         May 1996
+
+
+               GZIP file format specification version 4.3
+
+Status of This Memo
+
+   This memo provides information for the Internet community.  This memo
+   does not specify an Internet standard of any kind.  Distribution of
+   this memo is unlimited.
+
+IESG Note:
+
+   The IESG takes no position on the validity of any Intellectual
+   Property Rights statements contained in this document.
+
+Notices
+
+   Copyright (c) 1996 L. Peter Deutsch
+
+   Permission is granted to copy and distribute this document for any
+   purpose and without charge, including translations into other
+   languages and incorporation into compilations, provided that the
+   copyright notice and this notice are preserved, and that any
+   substantive changes or deletions from the original are clearly
+   marked.
+
+   A pointer to the latest version of this and related documentation in
+   HTML format can be found at the URL
+   <ftp://ftp.uu.net/graphics/png/documents/zlib/zdoc-index.html>.
+
+Abstract
+
+   This specification defines a lossless compressed data format that is
+   compatible with the widely used GZIP utility.  The format includes a
+   cyclic redundancy check value for detecting data corruption.  The
+   format presently uses the DEFLATE method of compression but can be
+   easily extended to use other compression methods.  The format can be
+   implemented readily in a manner not covered by patents.
+
+
+
+
+
+
+
+
+
+
+Deutsch                      Informational                      [Page 1]
+
+RFC 1952             GZIP File Format Specification             May 1996
+
+
+Table of Contents
+
+   1. Introduction ................................................... 2
+      1.1. Purpose ................................................... 2
+      1.2. Intended audience ......................................... 3
+      1.3. Scope ..................................................... 3
+      1.4. Compliance ................................................ 3
+      1.5. Definitions of terms and conventions used ................. 3
+      1.6. Changes from previous versions ............................ 3
+   2. Detailed specification ......................................... 4
+      2.1. Overall conventions ....................................... 4
+      2.2. File format ............................................... 5
+      2.3. Member format ............................................. 5
+          2.3.1. Member header and trailer ........................... 6
+              2.3.1.1. Extra field ................................... 8
+              2.3.1.2. Compliance .................................... 9
+      3. References .................................................. 9
+      4. Security Considerations .................................... 10
+      5. Acknowledgements ........................................... 10
+      6. Author's Address ........................................... 10
+      7. Appendix: Jean-Loup Gailly's gzip utility .................. 11
+      8. Appendix: Sample CRC Code .................................. 11
+
+1. Introduction
+
+   1.1. Purpose
+
+      The purpose of this specification is to define a lossless
+      compressed data format that:
+
+          * Is independent of CPU type, operating system, file system,
+            and character set, and hence can be used for interchange;
+          * Can compress or decompress a data stream (as opposed to a
+            randomly accessible file) to produce another data stream,
+            using only an a priori bounded amount of intermediate
+            storage, and hence can be used in data communications or
+            similar structures such as Unix filters;
+          * Compresses data with efficiency comparable to the best
+            currently available general-purpose compression methods,
+            and in particular considerably better than the "compress"
+            program;
+          * Can be implemented readily in a manner not covered by
+            patents, and hence can be practiced freely;
+          * Is compatible with the file format produced by the current
+            widely used gzip utility, in that conforming decompressors
+            will be able to read data produced by the existing gzip
+            compressor.
+
+
+
+
+Deutsch                      Informational                      [Page 2]
+
+RFC 1952             GZIP File Format Specification             May 1996
+
+
+      The data format defined by this specification does not attempt to:
+
+          * Provide random access to compressed data;
+          * Compress specialized data (e.g., raster graphics) as well as
+            the best currently available specialized algorithms.
+
+   1.2. Intended audience
+
+      This specification is intended for use by implementors of software
+      to compress data into gzip format and/or decompress data from gzip
+      format.
+
+      The text of the specification assumes a basic background in
+      programming at the level of bits and other primitive data
+      representations.
+
+   1.3. Scope
+
+      The specification specifies a compression method and a file format
+      (the latter assuming only that a file can store a sequence of
+      arbitrary bytes).  It does not specify any particular interface to
+      a file system or anything about character sets or encodings
+      (except for file names and comments, which are optional).
+
+   1.4. Compliance
+
+      Unless otherwise indicated below, a compliant decompressor must be
+      able to accept and decompress any file that conforms to all the
+      specifications presented here; a compliant compressor must produce
+      files that conform to all the specifications presented here.  The
+      material in the appendices is not part of the specification per se
+      and is not relevant to compliance.
+
+   1.5. Definitions of terms and conventions used
+
+      byte: 8 bits stored or transmitted as a unit (same as an octet).
+      (For this specification, a byte is exactly 8 bits, even on
+      machines which store a character on a number of bits different
+      from 8.)  See below for the numbering of bits within a byte.
+
+   1.6. Changes from previous versions
+
+      There have been no technical changes to the gzip format since
+      version 4.1 of this specification.  In version 4.2, some
+      terminology was changed, and the sample CRC code was rewritten for
+      clarity and to eliminate the requirement for the caller to do pre-
+      and post-conditioning.  Version 4.3 is a conversion of the
+      specification to RFC style.
+
+
+
+Deutsch                      Informational                      [Page 3]
+
+RFC 1952             GZIP File Format Specification             May 1996
+
+
+2. Detailed specification
+
+   2.1. Overall conventions
+
+      In the diagrams below, a box like this:
+
+         +---+
+         |   | <-- the vertical bars might be missing
+         +---+
+
+      represents one byte; a box like this:
+
+         +==============+
+         |              |
+         +==============+
+
+      represents a variable number of bytes.
+
+      Bytes stored within a computer do not have a "bit order", since
+      they are always treated as a unit.  However, a byte considered as
+      an integer between 0 and 255 does have a most- and least-
+      significant bit, and since we write numbers with the most-
+      significant digit on the left, we also write bytes with the most-
+      significant bit on the left.  In the diagrams below, we number the
+      bits of a byte so that bit 0 is the least-significant bit, i.e.,
+      the bits are numbered:
+
+         +--------+
+         |76543210|
+         +--------+
+
+      This document does not address the issue of the order in which
+      bits of a byte are transmitted on a bit-sequential medium, since
+      the data format described here is byte- rather than bit-oriented.
+
+      Within a computer, a number may occupy multiple bytes.  All
+      multi-byte numbers in the format described here are stored with
+      the least-significant byte first (at the lower memory address).
+      For example, the decimal number 520 is stored as:
+
+             0        1
+         +--------+--------+
+         |00001000|00000010|
+         +--------+--------+
+          ^        ^
+          |        |
+          |        + more significant byte = 2 x 256
+          + less significant byte = 8
+
+
+
+Deutsch                      Informational                      [Page 4]
+
+RFC 1952             GZIP File Format Specification             May 1996
+
+
+   2.2. File format
+
+      A gzip file consists of a series of "members" (compressed data
+      sets).  The format of each member is specified in the following
+      section.  The members simply appear one after another in the file,
+      with no additional information before, between, or after them.
+
+   2.3. Member format
+
+      Each member has the following structure:
+
+         +---+---+---+---+---+---+---+---+---+---+
+         |ID1|ID2|CM |FLG|     MTIME     |XFL|OS | (more-->)
+         +---+---+---+---+---+---+---+---+---+---+
+
+      (if FLG.FEXTRA set)
+
+         +---+---+=================================+
+         | XLEN  |...XLEN bytes of "extra field"...| (more-->)
+         +---+---+=================================+
+
+      (if FLG.FNAME set)
+
+         +=========================================+
+         |...original file name, zero-terminated...| (more-->)
+         +=========================================+
+
+      (if FLG.FCOMMENT set)
+
+         +===================================+
+         |...file comment, zero-terminated...| (more-->)
+         +===================================+
+
+      (if FLG.FHCRC set)
+
+         +---+---+
+         | CRC16 |
+         +---+---+
+
+         +=======================+
+         |...compressed blocks...| (more-->)
+         +=======================+
+
+           0   1   2   3   4   5   6   7
+         +---+---+---+---+---+---+---+---+
+         |     CRC32     |     ISIZE     |
+         +---+---+---+---+---+---+---+---+
+
+
+
+
+Deutsch                      Informational                      [Page 5]
+
+RFC 1952             GZIP File Format Specification             May 1996
+
+
+      2.3.1. Member header and trailer
+
+         ID1 (IDentification 1)
+         ID2 (IDentification 2)
+            These have the fixed values ID1 = 31 (0x1f, \037), ID2 = 139
+            (0x8b, \213), to identify the file as being in gzip format.
+
+         CM (Compression Method)
+            This identifies the compression method used in the file.  CM
+            = 0-7 are reserved.  CM = 8 denotes the "deflate"
+            compression method, which is the one customarily used by
+            gzip and which is documented elsewhere.
+
+         FLG (FLaGs)
+            This flag byte is divided into individual bits as follows:
+
+               bit 0   FTEXT
+               bit 1   FHCRC
+               bit 2   FEXTRA
+               bit 3   FNAME
+               bit 4   FCOMMENT
+               bit 5   reserved
+               bit 6   reserved
+               bit 7   reserved
+
+            If FTEXT is set, the file is probably ASCII text.  This is
+            an optional indication, which the compressor may set by
+            checking a small amount of the input data to see whether any
+            non-ASCII characters are present.  In case of doubt, FTEXT
+            is cleared, indicating binary data. For systems which have
+            different file formats for ascii text and binary data, the
+            decompressor can use FTEXT to choose the appropriate format.
+            We deliberately do not specify the algorithm used to set
+            this bit, since a compressor always has the option of
+            leaving it cleared and a decompressor always has the option
+            of ignoring it and letting some other program handle issues
+            of data conversion.
+
+            If FHCRC is set, a CRC16 for the gzip header is present,
+            immediately before the compressed data. The CRC16 consists
+            of the two least significant bytes of the CRC32 for all
+            bytes of the gzip header up to and not including the CRC16.
+            [The FHCRC bit was never set by versions of gzip up to
+            1.2.4, even though it was documented with a different
+            meaning in gzip 1.2.4.]
+
+            If FEXTRA is set, optional extra fields are present, as
+            described in a following section.
+
+
+
+Deutsch                      Informational                      [Page 6]
+
+RFC 1952             GZIP File Format Specification             May 1996
+
+
+            If FNAME is set, an original file name is present,
+            terminated by a zero byte.  The name must consist of ISO
+            8859-1 (LATIN-1) characters; on operating systems using
+            EBCDIC or any other character set for file names, the name
+            must be translated to the ISO LATIN-1 character set.  This
+            is the original name of the file being compressed, with any
+            directory components removed, and, if the file being
+            compressed is on a file system with case insensitive names,
+            forced to lower case. There is no original file name if the
+            data was compressed from a source other than a named file;
+            for example, if the source was stdin on a Unix system, there
+            is no file name.
+
+            If FCOMMENT is set, a zero-terminated file comment is
+            present.  This comment is not interpreted; it is only
+            intended for human consumption.  The comment must consist of
+            ISO 8859-1 (LATIN-1) characters.  Line breaks should be
+            denoted by a single line feed character (10 decimal).
+
+            Reserved FLG bits must be zero.
+
+         MTIME (Modification TIME)
+            This gives the most recent modification time of the original
+            file being compressed.  The time is in Unix format, i.e.,
+            seconds since 00:00:00 GMT, Jan.  1, 1970.  (Note that this
+            may cause problems for MS-DOS and other systems that use
+            local rather than Universal time.)  If the compressed data
+            did not come from a file, MTIME is set to the time at which
+            compression started.  MTIME = 0 means no time stamp is
+            available.
+
+         XFL (eXtra FLags)
+            These flags are available for use by specific compression
+            methods.  The "deflate" method (CM = 8) sets these flags as
+            follows:
+
+               XFL = 2 - compressor used maximum compression,
+                         slowest algorithm
+               XFL = 4 - compressor used fastest algorithm
+
+         OS (Operating System)
+            This identifies the type of file system on which compression
+            took place.  This may be useful in determining end-of-line
+            convention for text files.  The currently defined values are
+            as follows:
+
+
+
+
+
+
+Deutsch                      Informational                      [Page 7]
+
+RFC 1952             GZIP File Format Specification             May 1996
+
+
+                 0 - FAT filesystem (MS-DOS, OS/2, NT/Win32)
+                 1 - Amiga
+                 2 - VMS (or OpenVMS)
+                 3 - Unix
+                 4 - VM/CMS
+                 5 - Atari TOS
+                 6 - HPFS filesystem (OS/2, NT)
+                 7 - Macintosh
+                 8 - Z-System
+                 9 - CP/M
+                10 - TOPS-20
+                11 - NTFS filesystem (NT)
+                12 - QDOS
+                13 - Acorn RISCOS
+               255 - unknown
+
+         XLEN (eXtra LENgth)
+            If FLG.FEXTRA is set, this gives the length of the optional
+            extra field.  See below for details.
+
+         CRC32 (CRC-32)
+            This contains a Cyclic Redundancy Check value of the
+            uncompressed data computed according to CRC-32 algorithm
+            used in the ISO 3309 standard and in section 8.1.1.6.2 of
+            ITU-T recommendation V.42.  (See http://www.iso.ch for
+            ordering ISO documents. See gopher://info.itu.ch for an
+            online version of ITU-T V.42.)
+
+         ISIZE (Input SIZE)
+            This contains the size of the original (uncompressed) input
+            data modulo 2^32.
+
+      2.3.1.1. Extra field
+
+         If the FLG.FEXTRA bit is set, an "extra field" is present in
+         the header, with total length XLEN bytes.  It consists of a
+         series of subfields, each of the form:
+
+            +---+---+---+---+==================================+
+            |SI1|SI2|  LEN  |... LEN bytes of subfield data ...|
+            +---+---+---+---+==================================+
+
+         SI1 and SI2 provide a subfield ID, typically two ASCII letters
+         with some mnemonic value.  Jean-Loup Gailly
+         <gzip@prep.ai.mit.edu> is maintaining a registry of subfield
+         IDs; please send him any subfield ID you wish to use.  Subfield
+         IDs with SI2 = 0 are reserved for future use.  The following
+         IDs are currently defined:
+
+
+
+Deutsch                      Informational                      [Page 8]
+
+RFC 1952             GZIP File Format Specification             May 1996
+
+
+            SI1         SI2         Data
+            ----------  ----------  ----
+            0x41 ('A')  0x70 ('P')  Apollo file type information
+
+         LEN gives the length of the subfield data, excluding the 4
+         initial bytes.
+
+      2.3.1.2. Compliance
+
+         A compliant compressor must produce files with correct ID1,
+         ID2, CM, CRC32, and ISIZE, but may set all the other fields in
+         the fixed-length part of the header to default values (255 for
+         OS, 0 for all others).  The compressor must set all reserved
+         bits to zero.
+
+         A compliant decompressor must check ID1, ID2, and CM, and
+         provide an error indication if any of these have incorrect
+         values.  It must examine FEXTRA/XLEN, FNAME, FCOMMENT and FHCRC
+         at least so it can skip over the optional fields if they are
+         present.  It need not examine any other part of the header or
+         trailer; in particular, a decompressor may ignore FTEXT and OS
+         and always produce binary output, and still be compliant.  A
+         compliant decompressor must give an error indication if any
+         reserved bit is non-zero, since such a bit could indicate the
+         presence of a new field that would cause subsequent data to be
+         interpreted incorrectly.
+
+3. References
+
+   [1] "Information Processing - 8-bit single-byte coded graphic
+       character sets - Part 1: Latin alphabet No.1" (ISO 8859-1:1987).
+       The ISO 8859-1 (Latin-1) character set is a superset of 7-bit
+       ASCII. Files defining this character set are available as
+       iso_8859-1.* in ftp://ftp.uu.net/graphics/png/documents/
+
+   [2] ISO 3309
+
+   [3] ITU-T recommendation V.42
+
+   [4] Deutsch, L.P.,"DEFLATE Compressed Data Format Specification",
+       available in ftp://ftp.uu.net/pub/archiving/zip/doc/
+
+   [5] Gailly, J.-L., GZIP documentation, available as gzip-*.tar in
+       ftp://prep.ai.mit.edu/pub/gnu/
+
+   [6] Sarwate, D.V., "Computation of Cyclic Redundancy Checks via Table
+       Look-Up", Communications of the ACM, 31(8), pp.1008-1013.
+
+
+
+
+Deutsch                      Informational                      [Page 9]
+
+RFC 1952             GZIP File Format Specification             May 1996
+
+
+   [7] Schwaderer, W.D., "CRC Calculation", April 85 PC Tech Journal,
+       pp.118-133.
+
+   [8] ftp://ftp.adelaide.edu.au/pub/rocksoft/papers/crc_v3.txt,
+       describing the CRC concept.
+
+4. Security Considerations
+
+   Any data compression method involves the reduction of redundancy in
+   the data.  Consequently, any corruption of the data is likely to have
+   severe effects and be difficult to correct.  Uncompressed text, on
+   the other hand, will probably still be readable despite the presence
+   of some corrupted bytes.
+
+   It is recommended that systems using this data format provide some
+   means of validating the integrity of the compressed data, such as by
+   setting and checking the CRC-32 check value.
+
+5. Acknowledgements
+
+   Trademarks cited in this document are the property of their
+   respective owners.
+
+   Jean-Loup Gailly designed the gzip format and wrote, with Mark Adler,
+   the related software described in this specification.  Glenn
+   Randers-Pehrson converted this document to RFC and HTML format.
+
+6. Author's Address
+
+   L. Peter Deutsch
+   Aladdin Enterprises
+   203 Santa Margarita Ave.
+   Menlo Park, CA 94025
+
+   Phone: (415) 322-0103 (AM only)
+   FAX:   (415) 322-1734
+   EMail: <ghost@aladdin.com>
+
+   Questions about the technical content of this specification can be
+   sent by email to:
+
+   Jean-Loup Gailly <gzip@prep.ai.mit.edu> and
+   Mark Adler <madler@alumni.caltech.edu>
+
+   Editorial comments on this specification can be sent by email to:
+
+   L. Peter Deutsch <ghost@aladdin.com> and
+   Glenn Randers-Pehrson <randeg@alumni.rpi.edu>
+
+
+
+Deutsch                      Informational                     [Page 10]
+
+RFC 1952             GZIP File Format Specification             May 1996
+
+
+7. Appendix: Jean-Loup Gailly's gzip utility
+
+   The most widely used implementation of gzip compression, and the
+   original documentation on which this specification is based, were
+   created by Jean-Loup Gailly <gzip@prep.ai.mit.edu>.  Since this
+   implementation is a de facto standard, we mention some more of its
+   features here.  Again, the material in this section is not part of
+   the specification per se, and implementations need not follow it to
+   be compliant.
+
+   When compressing or decompressing a file, gzip preserves the
+   protection, ownership, and modification time attributes on the local
+   file system, since there is no provision for representing protection
+   attributes in the gzip file format itself.  Since the file format
+   includes a modification time, the gzip decompressor provides a
+   command line switch that assigns the modification time from the file,
+   rather than the local modification time of the compressed input, to
+   the decompressed output.
+
+8. Appendix: Sample CRC Code
+
+   The following sample code represents a practical implementation of
+   the CRC (Cyclic Redundancy Check). (See also ISO 3309 and ITU-T V.42
+   for a formal specification.)
+
+   The sample code is in the ANSI C programming language. Non C users
+   may find it easier to read with these hints:
+
+      &      Bitwise AND operator.
+      ^      Bitwise exclusive-OR operator.
+      >>     Bitwise right shift operator. When applied to an
+             unsigned quantity, as here, right shift inserts zero
+             bit(s) at the left.
+      !      Logical NOT operator.
+      ++     "n++" increments the variable n.
+      0xNNN  0x introduces a hexadecimal (base 16) constant.
+             Suffix L indicates a long value (at least 32 bits).
+
+      /* Table of CRCs of all 8-bit messages. */
+      unsigned long crc_table[256];
+
+      /* Flag: has the table been computed? Initially false. */
+      int crc_table_computed = 0;
+
+      /* Make the table for a fast CRC. */
+      void make_crc_table(void)
+      {
+        unsigned long c;
+
+
+
+Deutsch                      Informational                     [Page 11]
+
+RFC 1952             GZIP File Format Specification             May 1996
+
+
+        int n, k;
+        for (n = 0; n < 256; n++) {
+          c = (unsigned long) n;
+          for (k = 0; k < 8; k++) {
+            if (c & 1) {
+              c = 0xedb88320L ^ (c >> 1);
+            } else {
+              c = c >> 1;
+            }
+          }
+          crc_table[n] = c;
+        }
+        crc_table_computed = 1;
+      }
+
+      /*
+         Update a running crc with the bytes buf[0..len-1] and return
+       the updated crc. The crc should be initialized to zero. Pre- and
+       post-conditioning (one's complement) is performed within this
+       function so it shouldn't be done by the caller. Usage example:
+
+         unsigned long crc = 0L;
+
+         while (read_buffer(buffer, length) != EOF) {
+           crc = update_crc(crc, buffer, length);
+         }
+         if (crc != original_crc) error();
+      */
+      unsigned long update_crc(unsigned long crc,
+                      unsigned char *buf, int len)
+      {
+        unsigned long c = crc ^ 0xffffffffL;
+        int n;
+
+        if (!crc_table_computed)
+          make_crc_table();
+        for (n = 0; n < len; n++) {
+          c = crc_table[(c ^ buf[n]) & 0xff] ^ (c >> 8);
+        }
+        return c ^ 0xffffffffL;
+      }
+
+      /* Return the CRC of the bytes buf[0..len-1]. */
+      unsigned long crc(unsigned char *buf, int len)
+      {
+        return update_crc(0L, buf, len);
+      }
+
+
+
+
+Deutsch                      Informational                     [Page 12]
+
diff --git a/libmariadb/external/zlib/doc/txtvsbin.txt b/libmariadb/external/zlib/doc/txtvsbin.txt
new file mode 100644
index 00000000..3d0f0634
--- /dev/null
+++ b/libmariadb/external/zlib/doc/txtvsbin.txt
@@ -0,0 +1,107 @@
+A Fast Method for Identifying Plain Text Files
+==============================================
+
+
+Introduction
+------------
+
+Given a file coming from an unknown source, it is sometimes desirable
+to find out whether the format of that file is plain text.  Although
+this may appear like a simple task, a fully accurate detection of the
+file type requires heavy-duty semantic analysis on the file contents.
+It is, however, possible to obtain satisfactory results by employing
+various heuristics.
+
+Previous versions of PKZip and other zip-compatible compression tools
+were using a crude detection scheme: if more than 80% (4/5) of the bytes
+found in a certain buffer are within the range [7..127], the file is
+labeled as plain text, otherwise it is labeled as binary.  A prominent
+limitation of this scheme is the restriction to Latin-based alphabets.
+Other alphabets, like Greek, Cyrillic or Asian, make extensive use of
+the bytes within the range [128..255], and texts using these alphabets
+are most often misidentified by this scheme; in other words, the rate
+of false negatives is sometimes too high, which means that the recall
+is low.  Another weakness of this scheme is a reduced precision, due to
+the false positives that may occur when binary files containing large
+amounts of textual characters are misidentified as plain text.
+
+In this article we propose a new, simple detection scheme that features
+a much increased precision and a near-100% recall.  This scheme is
+designed to work on ASCII, Unicode and other ASCII-derived alphabets,
+and it handles single-byte encodings (ISO-8859, MacRoman, KOI8, etc.)
+and variable-sized encodings (ISO-2022, UTF-8, etc.).  Wider encodings
+(UCS-2/UTF-16 and UCS-4/UTF-32) are not handled, however.
+
+
+The Algorithm
+-------------
+
+The algorithm works by dividing the set of bytecodes [0..255] into three
+categories:
+- The white list of textual bytecodes:
+  9 (TAB), 10 (LF), 13 (CR), 32 (SPACE) to 255.
+- The gray list of tolerated bytecodes:
+  7 (BEL), 8 (BS), 11 (VT), 12 (FF), 26 (SUB), 27 (ESC).
+- The black list of undesired, non-textual bytecodes:
+  0 (NUL) to 6, 14 to 31.
+
+If a file contains at least one byte that belongs to the white list and
+no byte that belongs to the black list, then the file is categorized as
+plain text; otherwise, it is categorized as binary.  (The boundary case,
+when the file is empty, automatically falls into the latter category.)
+
+
+Rationale
+---------
+
+The idea behind this algorithm relies on two observations.
+
+The first observation is that, although the full range of 7-bit codes
+[0..127] is properly specified by the ASCII standard, most control
+characters in the range [0..31] are not used in practice.  The only
+widely-used, almost universally-portable control codes are 9 (TAB),
+10 (LF) and 13 (CR).  There are a few more control codes that are
+recognized on a reduced range of platforms and text viewers/editors:
+7 (BEL), 8 (BS), 11 (VT), 12 (FF), 26 (SUB) and 27 (ESC); but these
+codes are rarely (if ever) used alone, without being accompanied by
+some printable text.  Even the newer, portable text formats such as
+XML avoid using control characters outside the list mentioned here.
+
+The second observation is that most of the binary files tend to contain
+control characters, especially 0 (NUL).  Even though the older text
+detection schemes observe the presence of non-ASCII codes from the range
+[128..255], the precision rarely has to suffer if this upper range is
+labeled as textual, because the files that are genuinely binary tend to
+contain both control characters and codes from the upper range.  On the
+other hand, the upper range needs to be labeled as textual, because it
+is used by virtually all ASCII extensions.  In particular, this range is
+used for encoding non-Latin scripts.
+
+Since there is no counting involved, other than simply observing the
+presence or the absence of some byte values, the algorithm produces
+consistent results, regardless what alphabet encoding is being used.
+(If counting were involved, it could be possible to obtain different
+results on a text encoded, say, using ISO-8859-16 versus UTF-8.)
+
+There is an extra category of plain text files that are "polluted" with
+one or more black-listed codes, either by mistake or by peculiar design
+considerations.  In such cases, a scheme that tolerates a small fraction
+of black-listed codes would provide an increased recall (i.e. more true
+positives).  This, however, incurs a reduced precision overall, since
+false positives are more likely to appear in binary files that contain
+large chunks of textual data.  Furthermore, "polluted" plain text should
+be regarded as binary by general-purpose text detection schemes, because
+general-purpose text processing algorithms might not be applicable.
+Under this premise, it is safe to say that our detection method provides
+a near-100% recall.
+
+Experiments have been run on many files coming from various platforms
+and applications.  We tried plain text files, system logs, source code,
+formatted office documents, compiled object code, etc.  The results
+confirm the optimistic assumptions about the capabilities of this
+algorithm.
+
+
+--
+Cosmin Truta
+Last updated: 2006-May-28