# Buildsheet autogenerated by ravenadm tool -- Do not edit.

NAMEBASE=		python-msgpack
VERSION=		1.1.2
KEYWORDS=		python
VARIANTS=		v13 v14
SDESC[v13]=		MessagePack serializer (3.13)
SDESC[v14]=		MessagePack serializer (3.14)
HOMEPAGE=		https://msgpack.org/
CONTACT=		Python_Automaton[python@ironwolf.systems]

DOWNLOAD_GROUPS=	main
SITES[main]=		PYPI/m/msgpack
DISTFILE[1]=		msgpack-1.1.2.tar.gz:main
DIST_SUBDIR=		python-src
DF_INDEX=		1
SPKGS[v13]=		single
SPKGS[v14]=		single

OPTIONS_AVAILABLE=	PY313 PY314
OPTIONS_STANDARD=	none
VOPTS[v13]=		PY313=ON PY314=OFF
VOPTS[v14]=		PY313=OFF PY314=ON

USES=			c++:single

DISTNAME=		msgpack-1.1.2

GENERATED=		yes

[PY313].USES_ON=			python:v13,pep517

[PY314].USES_ON=			python:v14,pep517

[FILE:2109:descriptions/desc.single]
# MessagePack for Python

[Build Status]
[Documentation Status]

## What is 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.

## Install

```
$ pip install msgpack
```

### Pure Python implementation

The extension module in msgpack (`msgpack._cmsgpack`) does not support
PyPy.

But msgpack provides a pure Python implementation (`msgpack.fallback`) for
PyPy.

### Windows

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

## How to use

### One-shot pack & unpack

Use `packb` for packing and `unpackb` for unpacking.
msgpack provides `dumps` and `loads` as aliases for compatibility with
`json` and `pickle`.

`pack` and `dump` pack to a file-like object.
`unpack` and `load` unpack from a file-like object.

```pycon
>>> import msgpack
>>> msgpack.packb([1, 2, 3])
'\x93\x01\x02\x03'
>>> msgpack.unpackb(_)
[1, 2, 3]
```

Read the docstring for options.

### Streaming unpacking

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

```py
import msgpack
from io import BytesIO

buf = BytesIO()
for i in range(100):
   buf.write(msgpack.packb(i))

buf.seek(0)

unpacker = msgpack.Unpacker(buf)
for unpacked in unpacker:
    print(unpacked)
```

### Packing/unpacking of custom data types

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

```py
import datetime
import msgpack

useful_dict = {
    "id": 1,
    "created": datetime.datetime.now(),
}

def decode_datetime(obj):
    if '__datetime__' in obj:
        obj = datetime.datetime.strptime(obj["as_str"],
"%Y%m%dT%H:%M:%S.%f")
    return obj

def encode_datetime(obj):
    if isinstance(obj, datetime.datetime):
        return {'__datetime__': True, 'as_str':
obj.strftime("%Y%m%dT%H:%M:%S.%f")}


[FILE:110:distinfo]
3b60763c1373dd60f398488069bcdc703cd08a711477b5d480eecc9f9626f47e       173581 python-src/msgpack-1.1.2.tar.gz