File: using.rst

package info (click to toggle)
flufl.enum 7.0.0-1
  • links: PTS, VCS
  • area: main
  • in suites: forky, sid
  • size: 184 kB
  • sloc: python: 551; makefile: 9
file content (580 lines) | stat: -rw-r--r-- 15,204 bytes parent folder | download
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
============================
Using the flufl.enum library
============================

Author: `Barry Warsaw`_ <barry@python.org>

The ``flufl.enum`` package provides an enumeration data type for Python.  This
package was the inspiration for `PEP 435`_. ``flufl.enum`` provides similar,
but simpler functionality.

An enumeration is a set of symbolic names bound to unique, constant values,
called *enumeration items*.  Within an enumeration, the items can be compared
by identity, and the enumeration itself can be iterated over.  The underlying
values can be retrieved from the enumeration items.  An integer based variant
is provided which allows items to be used as slices, to interoperate with
C-based APIs, and for logical operations.


Motivation
==========

[Lifted from `PEP 354`_ - the original rejected enumeration PEP]

The properties of an enumeration are useful for defining an immutable, related
set of constant values that have a defined sequence but no inherent semantic
meaning.  Classic examples are days of the week (Sunday through Saturday) and
school assessment grades ('A' through 'D', and 'F').  Other examples include
error status values and states within a defined process.

It is possible to simply define a sequence of values of some other basic type,
such as ``int`` or ``str``, to represent discrete arbitrary values.  However,
an enumeration ensures that such values are distinct from any others, and that
operations without meaning ("Wednesday times two") are not defined for these
values.


Creating an Enumeration
=======================

Class syntax
------------

Enumerations can be created using the class syntax, which makes them easy to
read and write.  Every enumeration item must have a unique value and the only
restriction on their names is that they must be valid Python identifiers.  To
define an enumeration, derive from the ``Enum`` class and add attributes with
assignment to their values.  Values may not be duplicated.

.. code-block:: pycon

    >>> from flufl.enum import Enum
    >>> class Colors(Enum):
    ...     red = 1
    ...     green = 2
    ...     blue = 3

Enumeration items have nice, human readable string representations.

.. code-block:: pycon

    >>> print(Colors.red)
    Colors.red

The ``reprs`` have additional detail.

.. code-block:: pycon

    >>> print(repr(Colors.red))
    <EnumValue: Colors.red [value=1]>


Accessing items
---------------

You can look up an enumeration item by attribute name using "getitem" syntax.

.. code-block:: pycon

    >>> print(Colors['red'])
    Colors.red

Using the same syntax, you can look up the item by passing in the item.

.. code-block:: pycon

    >>> print(Colors[Colors.red])
    Colors.red

You can also look up an enumeration item by value using "call" syntax.

.. code-block:: pycon

    >>> print(Colors(1))
    Colors.red


Integer enumerations
--------------------

A special subclass of ``Enum`` can be used when the enumeration items need to
act like integers.  In fact, the items in this ``IntEnum`` class *are*
integers and can be used any place an integer needs to be used, including when
interfacing with C APIs.

.. code-block:: pycon

    >>> from flufl.enum import IntEnum
    >>> class Animals(IntEnum):
    ...     ant = 1
    ...     bee = 2
    ...     cat = 3

These enumeration items can be converted to integers.

.. code-block:: pycon

    >>> int(Animals.bee)
    2

These enumeration items can also be used as slice indexes.

.. code-block:: pycon

    >>> list(range(10)[Animals.ant:Animals.cat])
    [1, 2]


Convenience API
---------------

For convenience, you can create an enumeration by calling the ``Enum`` class.
The first argument is the name of the new enumeration, and the second is
provides the enumeration items.  There are several ways to specify the items
-- see the section `Functional API`_ for details -- but the easiest way is to
provide a string of space separated attribute names.  The values for these
items are auto-assigned integers starting from 1.

.. code-block:: pycon

    >>> Rush = Enum('Rush', 'Geddy Alex Neil')

The ``str`` and ``repr`` provide details.

.. code-block:: pycon

    >>> print(Rush.Geddy)
    Rush.Geddy
    >>> print(repr(Rush.Geddy))
    <EnumValue: Rush.Geddy [value=1]>

See the section on the `Functional API`_ for more options and information.


Values
------

Enumeration items can have any value you choose, but typically they will be
integer or string values, and it is recommended that all the values be of the
same type, although this is not enforced.

.. code-block:: pycon

    >>> class Rush(Enum):
    ...     Geddy = 'bass'
    ...     Alex = 'guitar'
    ...     Neil = 'drums'

    >>> print(repr(Rush.Alex))
    <EnumValue: Rush.Alex [value=guitar]>


Inspecting Enumerations
=======================

``dir()`` returns the enumeration item names.

.. code-block:: pycon

    >>> for member in sorted(dir(Colors)):
    ...     print(member)
    blue
    green
    red

The ``str()`` and ``repr()`` of the enumeration class also provides useful
information.  The items are always sorted by attribute name.

.. code-block:: pycon

    >>> print(Colors)
    <Colors {blue: 3, green: 2, red: 1}>
    >>> print(repr(Colors))
    <Colors {blue: 3, green: 2, red: 1}>

You can get the enumeration class object from an enumeration item.

.. code-block:: pycon

    >>> print(Colors.red.enum.__name__)
    Colors

Enumerations also have a property that contains just their item name.

.. code-block:: pycon

    >>> print(Colors.red.name)
    red
    >>> print(Colors.green.name)
    green
    >>> print(Colors.blue.name)
    blue

The underlying item value can also be retrieved via the ``.value`` attribute.

.. code-block:: pycon

    >>> print(Rush.Geddy.value)
    bass

Integer enumerations can also be explicitly convert to their integer value
using the ``int()`` built-in.

.. code-block:: pycon

    >>> int(Animals.ant)
    1
    >>> int(Animals.bee)
    2
    >>> int(Animals.cat)
    3


Comparison
==========

Enumeration items are compared by identity.

.. code-block:: pycon

    >>> Colors.red is Colors.red
    True
    >>> Colors.blue is Colors.blue
    True
    >>> Colors.red is not Colors.blue
    True
    >>> Colors.blue is Colors.red
    False

The standard ``Enum`` class does not allow comparisons against the integer
equivalent values, and if you define an enumeration with similar item
names and integer values, they will not be identical.

.. code-block:: pycon

    >>> class OtherColors(Enum):
    ...     red = 1
    ...     blue = 2
    ...     yellow = 3
    >>> Colors.red is OtherColors.red
    False
    >>> Colors.blue is not OtherColors.blue
    True

These enumeration items are not equal, nor do they hash equally.

.. code-block:: pycon

    >>> Colors.red == OtherColors.red
    False
    >>> len(set((Colors.red, OtherColors.red)))
    2

Ordered comparisons between enumeration items are *not* supported.  The base
enumeration values are not integers!

.. code-block:: pycon

    >>> Colors.red < Colors.blue
    Traceback (most recent call last):
    ...
    TypeError: ...
    >>> Colors.red <= Colors.blue
    Traceback (most recent call last):
    ...
    TypeError: ...
    >>> Colors.blue > Colors.green
    Traceback (most recent call last):
    ...
    TypeError: ...
    >>> Colors.blue >= Colors.green
    Traceback (most recent call last):
    ...
    TypeError: ...
    >>> Colors.red < 3
    Traceback (most recent call last):
    ...
    TypeError: ...

While discouraged for readability, equality comparisons are allowed.

.. code-block:: pycon

    >>> Colors.blue == Colors.blue
    True
    >>> Colors.green != Colors.blue
    True

However, comparisons against non-enumeration items will always compare not
equal.

.. code-block:: pycon

    >>> Colors.green == 2
    False
    >>> Colors.blue == 3
    False
    >>> Colors.green != 3
    True
    >>> Colors.green == 'green'
    False


Integer enumerations
--------------------

With the ``IntEnum`` class though, enumeration items *are* integers, so all
the ordered comparisons work as expected.

.. code-block:: pycon

    >>> Animals.ant < Animals.bee
    True
    >>> Animals.cat > Animals.ant
    True

Comparisons against other numbers also work as expected.

.. code-block:: pycon

    >>> Animals.ant <= 1.0
    True
    >>> Animals.bee == 2
    True

You can even compare integer enumeration items against other unrelated integer
enumeration items, since the comparisons use the standard integer operators.

.. code-block:: pycon

    >>> class Toppings(IntEnum):
    ...     anchovies = 1
    ...     black_olives = 2
    ...     cheese = 4
    ...     dried_tomatoes = 8
    ...     eggplant = 16

    >>> Toppings.black_olives == Animals.bee
    True


Conversions
===========

You can convert back to the enumeration item by using the ``Enum`` class's
``getitem`` syntax, passing in the value for the item you want.

.. code-block:: pycon

    >>> Colors[2]
    <EnumValue: Colors.green [value=2]>
    >>> Rush['bass']
    <EnumValue: Rush.Geddy [value=bass]>
    >>> Colors[1] is Colors.red
    True

If instead you have the enumeration name (i.e. the attribute name), just use
Python's normal ``getattr()`` function.

.. code-block:: pycon

    >>> getattr(Colors, 'red')
    <EnumValue: Colors.red [value=1]>
    >>> getattr(Rush, Rush.Alex.name)
    <EnumValue: Rush.Alex [value=guitar]>
    >>> getattr(Colors, 'blue') is Colors.blue
    True


Iteration
=========

The ``Enum`` and ``IntEnum`` enumerations both supports iteration.  Items are returned in the order in which
they appear.

.. code-block:: pycon

    >>> [e.name for e in Colors]
    ['red', 'green', 'blue']
    >>> [e.name for e in Rush]
    ['Geddy', 'Alex', 'Neil']

    >>> class Toppings(IntEnum):
    ...     anchovies = 4
    ...     black_olives = 8
    ...     cheese = 2
    ...     dried_tomatoes = 16
    ...     eggplant = 1

    >>> for value in Toppings:
    ...     print(value.name, '=', value.value)
    anchovies = 4
    black_olives = 8
    cheese = 2
    dried_tomatoes = 16
    eggplant = 1

Enumeration items can be used in dictionaries and sets.

.. code-block:: pycon

    >>> from operator import attrgetter
    >>> getvalue = attrgetter('value')
    >>> apples = {}
    >>> apples[Colors.red] = 'red delicious'
    >>> apples[Colors.green] = 'granny smith'
    >>> for color in sorted(apples, key=getvalue):
    ...     print(color.name, '->', apples[color])
    red -> red delicious
    green -> granny smith


Extending an enumeration through subclassing
============================================

You can extend previously defined enumerations by subclassing.  Just as
before, items cannot be duplicated in either the base class or subclass.

.. code-block:: pycon

    >>> class MoreColors(Colors):
    ...     pink = 4
    ...     cyan = 5

When extended in this way, the base enumeration's items are identical to the
same named items in the derived class.

.. code-block:: pycon

    >>> Colors.red is MoreColors.red
    True
    >>> Colors.blue is MoreColors.blue
    True


Pickling
========

Enumerations created with the class syntax can also be pickled and unpickled,
as long as the module containing the enum is importable.

.. code-block:: pycon

    >>> from fruit import Fruit
    >>> from pickle import dumps, loads
    >>> Fruit.tomato is loads(dumps(Fruit.tomato))
    True


Functional API
==============

As described above, you can create enumerations functionally by calling
``Enum`` or ``IntEnum``.

The first argument is always the name of the new enumeration.  The second
argument describes the enumeration item names and values.  The easiest way to
create new enumerations is to provide a single string with space-separated
attribute names.  In this case, the values are auto-assigned integers starting
from 1.

.. code-block:: pycon

    >>> Enum('Animals', 'ant bee cat dog')
    <Animals {ant: 1, bee: 2, cat: 3, dog: 4}>

The second argument can also be a sequence of strings.  In this case too, the
values are auto-assigned integers starting from 1.

.. code-block:: pycon

    >>> Enum('People', ('anne', 'bart', 'cate', 'dave'))
    <People {anne: 1, bart: 2, cate: 3, dave: 4}>

The items can also be specified by using a sequence of 2-tuples, where the
first item is the enumeration item name and the second is the value to use.
If 2-tuples are given, all items must be 2-tuples.

.. code-block:: pycon

    >>> def enumiter():
    ...     start = 1
    ...     while True:
    ...         yield start
    ...         start <<= 1
    >>> Enum('Flags', zip(list('abcdefg'), enumiter()))
    <Flags {a: 1, b: 2, c: 4, d: 8, e: 16, f: 32, g: 64}>

You can also provide the enumeration items as a dictionary mapping names to
values.  Remember that the ``repr`` is sorted by attribute name.

.. code-block:: pycon

    >>> bassists = dict(Geddy='Rush', Chris='Yes', Flea='RHCP', Jack='Cream')
    >>> Enum('Bassists', bassists)
    <Bassists {Chris: Yes, Flea: RHCP, Geddy: Rush, Jack: Cream}>

If you want to create an ``IntEnum`` where the values are integer subclasses,
call that class instead.  This has the same signature as calling ``Enum`` but
the items of the returned enumeration are int subclasses.

.. code-block:: pycon

    >>> Numbers = IntEnum('Numbers', 'one two three four')
    >>> Numbers.three == 3
    True


Customization protocol
======================

You can define your own enumeration value types by using the
``__value_factory__`` protocol.  This is how the ``IntEnum`` type is
defined.  As an example, let's say you want to define a new type of
enumeration where the values were subclasses of ``str``.  First, define your
enumeration value subclass.

.. code-block:: pycon

    >>> from flufl.enum import EnumValue
    >>> class StrEnumValue(str, EnumValue):
    ...     def __new__(cls, enum, value, attr):
    ...         return super().__new__(cls, value)

And then define your enumeration class.  You must set the class attribute
``__value_factory__`` to the class of the values you want to create.

.. code-block:: pycon

    >>> class StrEnum(Enum):
    ...     __value_factory__ = StrEnumValue

Now, when you define your enumerations, the values will be ``str`` subclasses.

.. code-block:: pycon

    >>> class Noises(StrEnum):
    ...     dog = 'bark'
    ...     cat = 'meow'
    ...     cow = 'moo'

    >>> isinstance(Noises.cow, str)
    True


Acknowledgments
===============

The ``flufl.enum`` implementation is based on an example by Jeremy Hylton.  It
has been modified and extended by Barry Warsaw for use in the `GNU Mailman`_
project.  Ben Finney is the author of the earlier enumeration PEP 354.  Eli
Bendersky is the co-author of PEP 435.  Numerous people on the `python-ideas`_
and `python-dev`_ mailing lists have provided valuable feedback.


.. _`PEP 435`: http://www.python.org/dev/peps/pep-0435/
.. _`PEP 354`: http://www.python.org/dev/peps/pep-0354/
.. _`GNU Mailman`: http://www.list.org
.. _`python-ideas`: http://mail.python.org/mailman/listinfo/python-ideas
.. _`python-dev`: http://mail.python.org/mailman/listinfo/python-dev
.. _`Barry Warsaw`: http://barry.warsaw.us