/usr/lib/python3/dist-packages/serpent-1.23.egg-info is in python3-serpent 1.23-1.
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Name: serpent
Version: 1.23
Summary: Serialization based on ast.literal_eval
Home-page: UNKNOWN
Author: Irmen de Jong
Author-email: irmen@razorvine.net
License: MIT
Description:
Serpent is a simple serialization library based on ast.literal_eval.
Because it only serializes literals and recreates the objects using ast.literal_eval(),
the serialized data is safe to transport to other machines (over the network for instance)
and de-serialize it there.
*There is also a Java and a .NET (C#) implementation available. This allows for easy data transfer between the various ecosystems.
You can get the full source distribution, a Java .jar file, and a .NET assembly dll.*
The java library can be obtained from Maven central (groupid ``net.razorvine`` artifactid ``serpent``),
and the .NET assembly can be obtained from Nuget.org (package ``Razorvine.Serpent``).
**API**
- ``ser_bytes = serpent.dumps(obj, indent=False, set_literals=True, module_in_classname=False):`` # serialize obj tree to bytes
- ``obj = serpent.loads(ser_bytes)`` # deserialize bytes back into object tree
- You can use ``ast.literal_eval`` yourself to deserialize, but ``serpent.deserialize`` works around a few corner cases. See source for details.
Serpent is more sophisticated than a simple repr() + literal_eval():
- it serializes directly to bytes (utf-8 encoded), instead of a string, so it can immediately be saved to a file or sent over a socket
- it encodes byte-types as base-64 instead of inefficient escaping notation that repr would use (this does mean you have
to base-64 decode these strings manually on the receiving side to get your bytes back.
You can use the serpent.tobytes utility function for this.)
- it contains a few custom serializers for several additional Python types such as uuid, datetime, array and decimal
- it tries to serialize unrecognised types as a dict (you can control this with __getstate__ on your own types)
- it can create a pretty-printed (indented) output for readability purposes
- it outputs the keys of sets and dicts in alphabetical order (when pretty-printing)
- it works around a few quirks of ast.literal_eval() on the various Python implementations
Serpent allows comments in the serialized data (because it is just Python source code).
Serpent can't serialize object graphs (when an object refers to itself); it will then crash with a ValueError pointing out the problem.
Works with Python 2.7+ (including 3.x), IronPython 2.7+, Jython 2.7+.
**FAQ**
- Why not use XML? Answer: because XML.
- Why not use JSON? Answer: because JSON is quite limited in the number of datatypes it supports, and you can't use comments in a JSON file.
- Why not use pickle? Answer: because pickle has security problems.
- Why not use ``repr()``/``ast.literal_eval()``? See above; serpent is a superset of this and provides more convenience. Serpent provides automatic serialization mappings for types other than the builtin primitive types. ``repr()`` can't serialize these to literals that ``ast.literal_eval()`` understands.
- Why not a binary format? Answer: because binary isn't readable by humans.
- But I don't care about readability. Answer: doesn't matter, ``ast.literal_eval()`` wants a literal string, so that is what we produce.
- But I want better performance. Answer: ok, maybe you shouldn't use serpent in this case. Find an efficient binary protocol (protobuf?)
- Why only Python, Java and C#/.NET, but no bindings for insert-favorite-language-here? Answer: I don't speak that language. Maybe you could port serpent yourself?
- Where is the source? It's on Github: https://github.com/irmen/Serpent
- Can I use it everywhere? Sure, as long as you keep the copyright and disclaimer somewhere. See the LICENSE file.
**Demo**
.. code:: python
# This demo script is written for Python 3.2+
# -*- coding: utf-8 -*-
from __future__ import print_function
import ast
import uuid
import datetime
import pprint
import serpent
class DemoClass:
def __init__(self):
self.i=42
self.b=False
data = {
"names": ["Harry", "Sally", "Peter"],
"big": 2**200,
"colorset": { "red", "green" },
"id": uuid.uuid4(),
"timestamp": datetime.datetime.now(),
"class": DemoClass(),
"unicode": "€"
}
# serialize it
ser = serpent.dumps(data, indent=True)
open("data.serpent", "wb").write(ser)
print("Serialized form:")
print(ser.decode("utf-8"))
# read it back
data = serpent.load(open("data.serpent", "rb"))
print("Data:")
pprint.pprint(data)
# you can also use ast.literal_eval if you like
ser_string = open("data.serpent", "r", encoding="utf-8").read()
data2 = ast.literal_eval(ser_string)
assert data2==data
When you run this (with python 3.2+) it prints:
.. code:: python
Serialized form:
# serpent utf-8 python3.2
{
'big': 1606938044258990275541962092341162602522202993782792835301376,
'class': {
'__class__': 'DemoClass',
'b': False,
'i': 42
},
'colorset': {
'green',
'red'
},
'id': 'e461378a-201d-4844-8119-7c1570d9d186',
'names': [
'Harry',
'Sally',
'Peter'
],
'timestamp': '2013-04-02T00:23:00.924000',
'unicode': '€'
}
Data:
{'big': 1606938044258990275541962092341162602522202993782792835301376,
'class': {'__class__': 'DemoClass', 'b': False, 'i': 42},
'colorset': {'green', 'red'},
'id': 'e461378a-201d-4844-8119-7c1570d9d186',
'names': ['Harry', 'Sally', 'Peter'],
'timestamp': '2013-04-02T00:23:00.924000',
'unicode': '€'}
Keywords: serialization
Platform: any
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3.3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Topic :: Software Development
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