Quick Unpack v1.2.2 serial key or number

Quick Unpack v1.2.2 serial key or number

Quick Unpack v1.2.2 serial key or number

Quick Unpack v1.2.2 serial key or number

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, Quick Unpack v1.2.2 serial key or number

MessagePack

It's like JSON.
but fast and small.

MessagePack is an efficient binary serialization format. It lets you exchange data among multiple languages like JSON. But it's faster and smaller. Small integers are encoded into a single byte, and typical short strings require only one extra byte in addition to the strings themselves.

Redis scripting has support for MessagePack because it is a fast and compact serialization format with a simple to implement specification. I liked it so much that I implemented a MessagePack C extension for Lua just to include it into Redis.

Salvatore Sanfilippo, creator of Redis

Fluentd uses MessagePack for all internal data representation. It's crazy fast because of zero-copy optimization of msgpack-ruby. Now MessagePack is an essential component of Fluentd to achieve high performance and flexibility at the same time.

Sadayuki Furuhashi, creator of Fluentd

Treasure Data built a multi-tenant database optimized for analytical queries using MessagePack. The schemaless database is growing by billions of records every month. We also use MessagePack as a glue between components. Actually we just wanted a fast replacement of JSON, and MessagePack is simply useful.

Kazuki Ohta, CTO

MessagePack has been simply invaluable to us. We use MessagePack + Memcache to cache many of our feeds on Pinterest. These feeds are compressed and very quick to unpack thanks to MessagePack while Memcache gives us fast atomic pushes.

Marty Weiner, Software Engineer

Also use MessagePack? Waiting for your testimonial!

API

 

List your implementation here!

msgpack/msgpack-java standardservices.com.pk

MessagePack for Java

QuickStart for msgpack-java is available here.

How to install

You can install msgpack via maven:

Simple Serialization/Deserialization/Duck Typing using Value

msgpack/msgpack-d standardservices.com.pk

MessagePack for D

MessagePack is a binary-based JSON-like serialization library.

MessagePack for D is a pure D implementation of MessagePack.

Features
  • Small size and High performance
  • Zero copy serialization / deserialization
  • Streaming deserializer for non-contiguous IO situation
  • Supports D features (Ranges, Tuples, real type)

Note: The type is only supported in D. Don't use the type when communicating with other programming languages. Note that will raise an exception if a loss of precision occurs.

Current Limitations
  • No circular references support
  • If you want to use the LDC compiler, you need at least version beta2
Install

Use dub to add it as a dependency:

Usage

Example code can be found in the directory.

The documentation can be found here

pack / unpack

msgpack-d is very simple to use. Use for serialization, and for deserialization:

standardservices.com.pk; import msgpack; structS { int x; float y; string z; } voidmain() { S input = S(10, , "message"); // serialize dataubyte[] inData = pack(input); // write data to a file write("standardservices.com.pk", inData); // read data from a fileubyte[] outData = cast(ubyte[])read("standardservices.com.pk"); // unserialize the data S target = standardservices.com.pk!S(); // verify data is the sameassert(target.x == input.x); assert(target.y == input.y); assert(target.z == input.z); }

Use the attribute:

structUser { string name; @nonPacked int level; // pack / unpack will ignore the 'level' field }

msgpack-d provides the functions / to allow you to use custom routines during the serialization or deserialization of user-defined class and struct types. This feature is especially useful when serializing a derived class object when that object is statically typed as a base class object.

For example:

classDocument { } classXmlDocument : Document { this() { } this(string name) { standardservices.com.pk = name; } string name; } voidxmlPackHandler(ref Packer p, ref XmlDocument xml) { standardservices.com.pk(standardservices.com.pk); } voidxmlUnpackHandler(ref Unpacker u, ref XmlDocument xml) { standardservices.com.pk(standardservices.com.pk); } voidmain() { /// Register the 'xmlPackHandler' and 'xmlUnpackHandler' routines for/// XmlDocument object instances. registerPackHandler!(XmlDocument, xmlPackHandler); registerUnpackHandler!(XmlDocument, xmlUnpackHandler); /// Now we can serialize/deserialize XmlDocument object instances via a/// base class standardservices.com.pknt doc = new XmlDocument("standardservices.com.pk"); auto data = pack(doc); XmlDocument xml = unpack!XmlDocument(data); assert(standardservices.com.pk =="standardservices.com.pk"); // standardservices.com.pk is "standardservices.com.pk" }
The PackerImpl / Unpacker / StreamingUnpacker types

These types are used by the and functions.

See the documentation of PackerImpl, Unpacker and StreamingUnpacker for more details.

Links
Copyright
License

Distributed under the Boost Software License, Version

msgpack/msgpack-python standardservices.com.pk

MessagePack for Python
What's this

MessagePack is an efficient binary serialization format. It lets you exchange data among multiple languages like JSON. But it's faster and smaller. This package provides CPython bindings for reading and writing MessagePack data.

Very important notes for existing users

TL;DR: When upgrading from msgpack or earlier, don't do pip install -U msgpack-python. Do pip uninstall msgpack-python; pip install msgpack instead.

Package name on PyPI was changed to msgpack from I upload transitional package (msgpack-python which depending on msgpack) for smooth transition from msgpack-python to msgpack.

Sadly, this doesn't work for upgrade install. After pip install -U msgpack-python, msgpack is removed and import msgpack fail.

encoding and unicode_errors options are deprecated.

In case of packer, use UTF-8 always. Storing other than UTF-8 is not recommended.

For backward compatibility, you can use and pack object into msgpack raw type.

In case of unpacker, there is new option. It is by default for backward compatibility, but it is changed to in near future. You can use instead of .

When msgpack , I planning these breaking changes:

  • packer and unpacker: Remove and option.
  • packer: Change default of option from False to True.
  • unpacker: Change default of option from True to False.
  • unpacker: Reduce all options for typical usage.
  • unpacker: Remove option from all methods.

To avoid these breaking changes breaks your application, please:

  • Don't use deprecated options.
  • Pass and options explicitly.
  • If your application handle large (>1MB) data, specify options too.
Install
$ pip install msgpack

msgpack provides a pure Python implementation. PyPy can use this.

When you can't use a binary distribution, you need to install Visual Studio or Windows SDK on Windows. Without extension, using pure Python implementation on CPython runs slowly.

For Python , Microsoft Visual C++ Compiler for Python is recommended solution.

For Python , Microsoft Visual Studio Community Edition or Express Edition can be used to build extension module.

How to use

Use for packing and for unpacking. msgpack provides and as an alias for compatibility with and .

and packs to a file-like object. and unpacks from a file-like object.

>>> import msgpack >>> standardservices.com.pk([1, 2, 3], use_bin_type=True) '\x93\x01\x02\x03' >>> standardservices.com.pkb(_, raw=False) [1, 2, 3]

unpacks msgpack's array to Python's list, but can also unpack to tuple:

>>> standardservices.com.pkb(b'\x93\x01\x02\x03', use_list=False, raw=False) (1, 2, 3)

You should always specify the keyword argument for backward compatibility. See performance issues relating to use_list option below.

Read the docstring for other options.

is a "streaming unpacker". It unpacks multiple objects from one stream (or from bytes provided through its method).

import msgpack from io import BytesIO buf = BytesIO() for i inrange(): standardservices.com.pk(standardservices.com.pk(i, use_bin_type=True)) standardservices.com.pk(0) unpacker = standardservices.com.pker(buf, raw=False) for unpacked in unpacker: print(unpacked)

It is also possible to pack/unpack custom data types. Here is an example for .

import datetime import msgpack useful_dict = { "id": 1, "created": standardservices.com.pk(), } defdecode_datetime(obj): ifb'__datetime__'in obj: obj = standardservices.com.pkme(obj["as_str"], "%Y%m%dT%H:%M:%S.%f") return obj defencode_datetime(obj): ifisinstance(obj, standardservices.com.pkme): return {'__datetime__': True, 'as_str': standardservices.com.pkme("%Y%m%dT%H:%M:%S.%f")} return obj packed_dict = standardservices.com.pk(useful_dict, default=encode_datetime, use_bin_type=True) this_dict_again = standardservices.com.pkb(packed_dict, object_hook=decode_datetime, raw=False)

's callback receives a dict; the callback may instead be used to receive a list of key-value pairs.

It is also possible to pack/unpack custom data types using the ext type.

>>> import msgpack >>> import array >>> defdefault(obj): ifisinstance(obj, standardservices.com.pk) and standardservices.com.pkde =='d': return standardservices.com.pke(42, standardservices.com.pkng()) raiseTypeError("Unknown type: %r"% (obj,)) >>> defext_hook(code, data): if code == a = standardservices.com.pk('d') standardservices.com.pkring(data) return a return ExtType(code, data) >>> data = standardservices.com.pk('d', [, ]) >>> packed = standardservices.com.pk(data, default=default, use_bin_type=True) >>> unpacked = standardservices.com.pkb(packed, ext_hook=ext_hook, raw=False) >>> data == unpacked True

As an alternative to iteration, objects provide , , and methods. The former two read an entire message from the stream, respectively de-serialising and returning the result, or ignoring it. The latter two methods return the number of elements in the upcoming container, so that each element in an array, or key-value pair in a map, can be unpacked or skipped individually.

Each of these methods may optionally write the packed data it reads to a callback function:

from io import BytesIO defdistribute(unpacker, get_worker): nelems = standardservices.com.pk_map_header() for i inrange(nelems): # Select a worker for the given key key = standardservices.com.pk() worker = get_worker(key) # Send the value as a packed message to worker bytestream = BytesIO() standardservices.com.pk(standardservices.com.pk) standardservices.com.pk(standardservices.com.pkue())
Notes

Early versions of msgpack didn't distinguish string and binary types (like Python 1). The type for representing both string and binary types was named raw.

For backward compatibility reasons, msgpack-python will still default all strings to byte strings, unless you specify the option in the packer. If you do so, it will use a non-standard type called bin to serialize byte arrays, and raw becomes to mean str. If you want to distinguish bin and raw in the unpacker, specify .

Note that Python 2 defaults to byte-arrays over Unicode strings:

>>> import msgpack >>> standardservices.com.pkb(standardservices.com.pk([b'spam', u'eggs'])) ['spam', 'eggs'] >>> standardservices.com.pkb(standardservices.com.pk([b'spam', u'eggs'], use_bin_type=True), raw=False) ['spam', u'eggs']

This is the same code in Python 3 (same behaviour, but Python 3 has a different default):

>>> import msgpack >>> standardservices.com.pkb(standardservices.com.pk([b'spam', u'eggs'])) [b'spam', b'eggs'] >>> standardservices.com.pkb(standardservices.com.pk([b'spam', u'eggs'], use_bin_type=True), raw=False) [b'spam', 'eggs']

To use the ext type, pass object to packer.

>>> import msgpack >>> packed = standardservices.com.pk(standardservices.com.pke(42, b'xyzzy')) >>> standardservices.com.pkb(packed) ExtType(code=42, data='xyzzy')

You can use it with and . See below.

Note about performance

CPython's GC starts when growing allocated object. This means unpacking may cause useless GC. You can use when unpacking large message.

List is the default sequence type of Python. But tuple is lighter than list. You can use while unpacking when performance is important.

Python's dict can't use list as key and MessagePack allows array for key of mapping. allows unpacking such message. Another way to unpacking such object is using .

Development

MessagePack uses pytest for testing. Run test with following command:

$ make test

msgpack/msgpack-erlang standardservices.com.pk

MessagePack Erlang

Prerequisites for runtime

Erlang/OTP, >= Also based on the new msgpack spec 0b8f5a.

edit standardservices.com.pk to use in your application
{deps, [ {msgpack, ".*", {git, "git://standardservices.com.pk", {branch, "master"}}} ]}.

Or as it is now published at standardservices.com.pk, just

might work.

Simple deserialization
Ham=msgpack:pack(Spam), {ok, Spam} =msgpack:unpack(Ham).
Stream deserialization
{Term0, Rest0} =msgpack:unpack_stream(Binary), {Term1, Rest1} =msgpack:unpack_stream(Rest0),
Options, for packing and unpacking

Both for packing and unpacking. Default is . Major difference between old and new spec is:

  • raw family (, , ) becomes new str family
  • is new as str8
  • new bin space ( as bin8, bin16, bin32)
  • new ext space ( as ext8, ext16, ext32)
  • new fixext space ( as fixext1, fixext2, fixext4, fixext8, fixext16),

The default is new spec. Old spec mode does not handle these new types but returns error. To use old spec mode, this option is explicitly added.

OldHam=msgpack:pack(Spam, [{spec, old}]), {ok, Spam} =msgpack:unpack(OldHam, [{spec, old}]).

Only in packing. Atoms are packed as binaries. Default value is . Otherwise, any term including atoms throws badarg.

Both in packing and unpacking. In packing, if an atom is in this list a binary is encoded as a binary. In unpacking, msgpacked binaries are decoded as atoms with with encoding . Default value is an empty list.

Even if is , known atoms are packed.

A switch to choose decoded term style of type when unpacking. Only available at new spec. Default is .

Only in unpacking, UTF-8 validation at unpacking from type will be enabled. Default value is .

A switch to choose packing of when packing. Only available at new spec. Default is for symmetry with option.

But the default option pays the cost of performance for symmetry. If the overhead of UTF-8 validation is unacceptable, choosing as the option would be the best.

  • * Tries to pack as if it is a valid .

Both at packing and unpacking. Default value is .

msgpack:pack(#{ <<"key">> => <<"value">> }, []). msgpack:pack(#{ <<"key">> => <<"value">> }, [{map_format, map}]). msgpack:pack({[{<<"key">>, <<"value">>}]}, [{map_format, jiffy}]), msgpack:pack([{<<"key">>, <<"value">>}], [{map_format, jsx}]).

At both. The default behaviour in case of facing ext data at decoding is to ignore them as its length is known.

Now msgpack-erlang supports ext type. Now you can serialize everything with your original (de)serializer. That will enable us to handle erlang- native types like , contained in . See for example code.

Packer=fun({ref, Ref}, Opt) whenis_reference(Ref) -> {ok, {12, term_to_binary(Ref)}} end, Unpacker=fun(12, Bin) -> {ok, {ref, binary_to_term(Bin)}} end, Ref=make_ref(), Opt= [{ext,{Packer,Unpacker}}], {ok, {ref, Ref}} =msgpack:unpack(msgpack:pack({ref, Ref}, Opt), Opt).
Misc

The Float type of Message Pack represents IEEE floating point number, so it includes Nan and Infinity. In unpacking, msgpack-erlang returns , and .

License

Apache License

Release Notes
  • Support , and
  • Renewed optional arguments to pack/unpack interface. This is incompatible change from series.
  • Deprecate
  • Moved to rebar3
  • Promote default map unpacker as default format when OTP is >= 17
  • Added QuickCheck tests
  • Since this version OTP older than R16B are no more supported
/
  • series will be the last versions that supports R16B or older versions of OTP.
  • OTP support
  • Promote default map unpacker as default format when OTP is >= 18
  • Add OTP 17 series to Travis-CI tests
  • Fix wrong numbering for ext types
  • Allow packing maps even when {format,map} is not set
  • Fix Dialyzer invalid contract warning
  • Proper use of null for jiffy-style encoding/decoding
  • set back default style as jiffy
  • fix bugs around nil/null handling
  • supports map new in
  • jiffy-style maps will be deprecated in near future
  • set default style as map

series works with OTP , R16, R15, and with MessagePack's new and old format. But does not support type introduced in OTP

It also supports JSX-compatible mode.

msgpack/msgpack-ruby standardservices.com.pk

MessagePack for Ruby
Install
Use cases
  • Create REST API returing MessagePack using Rails + RABL
  • Store objects efficiently in memcached or Redis
  • Upload data in efficient format from mobile devices. See also MessagePack for Objective-C and Java
Источник: [standardservices.com.pk]
Quick Unpack v1.2.2 serial key or number

struct — Interpret strings as packed binary data

Examples¶

Note

All examples assume a native byte order, size, and alignment with a big-endian machine.

A basic example of packing/unpacking three integers:

>>> fromstructimport*>>> pack('hhl',1,2,3)'\x00\x01\x00\x02\x00\x00\x00\x03'>>> unpack('hhl','\x00\x01\x00\x02\x00\x00\x00\x03')(1, 2, 3)>>> calcsize('hhl')8

Unpacked fields can be named by assigning them to variables or by wrapping the result in a named tuple:

>>> record='raymond \x32\x12\x08\x01\x08'>>> name,serialnum,school,gradelevel=unpack('<10sHHb',record)>>> fromcollectionsimportnamedtuple>>> Student=namedtuple('Student','name serialnum school gradelevel')>>> Student._make(unpack('<10sHHb',record))Student(name='raymond ', serialnum=, school=, gradelevel=8)

The ordering of format characters may have an impact on size since the padding needed to satisfy alignment requirements is different:

>>> pack('ci','*',0x)'*\x00\x00\x00\x12\x13\x14\x15'>>> pack('ic',0x,'*')'\x12\x13\x14\x15*'>>> calcsize('ci')8>>> calcsize('ic')5

The following format specifies two pad bytes at the end, assuming longs are aligned on 4-byte boundaries:

>>> pack('llh0l',1,2,3)'\x00\x00\x00\x01\x00\x00\x00\x02\x00\x03\x00\x00'

This only works when native size and alignment are in effect; standard size and alignment does not enforce any alignment.

See also

Module

Packed binary storage of homogeneous data.

Module

Packing and unpacking of XDR data.

Источник: [standardservices.com.pk]
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