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Metadata-Version: 1.1
Name: serpent
Version: 1.16
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