utils 0.5

Python Distribution Utilities

Sometimes you write a function over and over again; sometimes you look up at the ceiling and ask “why, Guido, why isn’t this included in the standard library?”

Well, we perhaps can’t answer that question. But we can collect those functions into a centralized place!

Provided things

Utils is broken up into broad swathes of functionality, to ease the task of remembering where exactly something lives.

enum

Python doesn’t have a built-in way to define an enum, so this module provides (what I think) is a pretty clean way to go about them.

from utils import enum

class Colors(enum.Enum):
    RED = 0
    GREEN = 1

    # Defining an Enum class allows you to specify a few
    # things about the way it's going to behave.
    class Options:
        frozen = True # can't change attributes
        strict = True # can only compare to itself; i.e., Colors.RED == Animals.COW
                      # will raise an exception.

# or use the enum factory (no Options, though)
ColorsAlso = enum.enum("RED", "GREEN")

Once defined, use is straightforward:

>>> Colors
<class 'blahblah.Colors'>
>>> Colors.RED
<EnumItem: RED [0]>
>>> Colors.RED == 0
True
>>> Colors.RED == Colors.RED
True
>>> Colors.RED = 2
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "utils/enum.py", line 114, in __setattr__
    raise TypeError("can't set attributes on a frozen enum")
TypeError: can't set attributes on a frozen enum

math

Currently only has the multiplicative analogue of the built-in sum.

dicts

intersections, differences, winnowing, a few specialized dicts…

lists

flatten and unlisting

bools

currently only provides an xor function.

dates

Mostly cool for the TimePeriod classes:

>>> from datetime import date # will also work with datetimes
>>> time_period = TimePeriod(date(2013, 5, 10), date(2013, 8, 11))
>>> time_period
<TimePeriod: 2013-05-10 00:00:00-2013-08-11 23:59:59>
>>> date(2013, 6, 12) in time_period
True
>>> other_time_period = TimePeriod(date(2013, 6, 1), date(2013, 6, 30))
>>> other_time_period in time_period
True
>>> another_time_period = TimePeriod(date(2013, 8, 1), date(2013, 8, 30))
>>> time_period.overlaps(another_time_period)
True
>>> TimePeriod.get_containing_period(time_period, another_time_period)
<TimePeriod: 2013-05-08 00:00:00-2013-08-30 23:59:59>

and so on and so forth. There’s also a DiscontinousTimePeriod class, which stores a collection of TimePeriods.

There’s also helper functions for common operations like days_ahead and days_ago, which pretty much do what they say on the tin.