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Project description
Container class boilerplate killer.
Features:
Human-readable __repr__
Complete set of comparison methods
Keyword and positional argument support. Works like a normal class - you can override just about anything in the subclass (eg: a custom __init__). In contrast, hynek/characteristic forces different call schematics and calls your __init__ with different arguments.
Installation
pip install fields
Usage
Make a class that has 2 attributes, a and b:
>>> from fields import Fields >>> class Pair(Fields.a.b): ... pass ... >>> p = Pair(1, 2) >>> p.a 1 >>> p.b 2
Make a class that has one required attribute value and two attributes (left and right) with default value None:
>>> class Node(Fields.value.left[None].right[None]): ... pass ... >>> p = Node(1, left=Node(2), right=Node(3, left=Node(4))) >>> p <Node(left=<Node(left=None, right=None, value=2)>, right=<Node(left=<Node(left=None, right=None, value=4)>, right=None, value=3)>, value=1)>
Want tuples ?
Namedtuple alternative:
>>> from fields import Tuple >>> class Pair(Tuple.a.b): ... pass ... >>> p = Pair(1, 2) >>> p.a 1 >>> p.b 2 >>> tuple(p) (1, 2) >>> a, b = p >>> a 1 >>> b 2
FAQ
Why ???
It’s less to type, why have quotes around when the names need to be valid symbols anyway.
Really … why ???
Because it’s possible.
But you’re abusing a very well known syntax. You’re using attribute access instead of a list of strings. Why ?
Symbols should be symbols. Why validate strings so they are valid symbols when you can avoid that ? Just use symbols. Dooh !
The use of language constructs is not that surprising - it’s pretty obvious that in field2 of field1 of fields.Fields there can’t possibly be anything else but a class implementing a container for said two fields.
Why would anyone with a brain expect anything else ? It’s like looking at a cake resembling a dog and expecting the cake to bark and run around.
What’s good about this ?
It’s one of the shortest forms possible.
Is this stable ? Is it tested ?
Is the API stable ?
It can’t get worse can it ;)
Why not namedtuple ?
It’s ugly, repetivive and unflexible. Compare this:
>>> from collections import namedtuple >>> class MyContainer(namedtuple("MyContainer", ["field1", "field2"])): ... pass >>> MyContainer(1, 2) MyContainer(field1=1, field2=2)
To this:
>>> class MyContainer(Tuple.field1.field2): ... pass >>> MyContainer(1, 2) <MyContainer(field1=1, field2=2)>
Why not characteristic ?
Ugly, inconsistent - you don’t own the class:
Lets try this:
>>> import characteristic >>> @characteristic.attributes(["field1", "field2"]) ... class MyContainer(object): ... def __init__(self, a, b): ... if a > b: ... raise ValueError("Expected %s < %s" % (a, b)) >>> MyContainer(1, 2) Traceback (most recent call last): ... ValueError: Missing value for 'field1'.WHAT !? Ok, lets write some more code:
>>> MyContainer(field1=1, field2=2) Traceback (most recent call last): ... TypeError: __init__() ... arguments...This is banans. You have to write your class around these quirks.
Lets try this:
>>> class MyContainer(Fields.field1.field2): ... def __init__(self, a, b): ... if a > b: ... raise ValueError("Expected %s < %s" % (a, b)) ... super(MyContainer, self).__init__(a, b)
Just like a normal class, works as expected:
>>> MyContainer(1, 2) <MyContainer(field1=1, field2=2)>
Documentation
Development
To run the all tests run:
tox
Changelog
0.1.0 (2014-06-08)
First release on PyPI.
Project details
Release history Release notifications | RSS feed
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