You cannot select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
119 lines
3.3 KiB
Plaintext
119 lines
3.3 KiB
Plaintext
.. Copyright (C) 2001-2020 NLTK Project
|
|
.. For license information, see LICENSE.TXT
|
|
|
|
--------------------------------------------------------------------------------
|
|
Unit tests for the miscellaneous sort functions.
|
|
--------------------------------------------------------------------------------
|
|
|
|
>>> from copy import deepcopy
|
|
>>> from nltk.misc.sort import *
|
|
|
|
A (very) small list of unsorted integers.
|
|
|
|
>>> test_data = [12, 67, 7, 28, 92, 56, 53, 720, 91, 57, 20, 20]
|
|
|
|
Test each sorting method - each method returns the number of operations
|
|
required to sort the data, and sorts in-place (desctructively - hence the need
|
|
for multiple copies).
|
|
|
|
>>> sorted_data = deepcopy(test_data)
|
|
>>> selection(sorted_data)
|
|
66
|
|
|
|
>>> sorted_data
|
|
[7, 12, 20, 20, 28, 53, 56, 57, 67, 91, 92, 720]
|
|
|
|
>>> sorted_data = deepcopy(test_data)
|
|
>>> bubble(sorted_data)
|
|
30
|
|
|
|
>>> sorted_data
|
|
[7, 12, 20, 20, 28, 53, 56, 57, 67, 91, 92, 720]
|
|
|
|
>>> sorted_data = deepcopy(test_data)
|
|
>>> merge(sorted_data)
|
|
30
|
|
|
|
>>> sorted_data
|
|
[7, 12, 20, 20, 28, 53, 56, 57, 67, 91, 92, 720]
|
|
|
|
>>> sorted_data = deepcopy(test_data)
|
|
>>> quick(sorted_data)
|
|
13
|
|
|
|
>>> sorted_data
|
|
[7, 12, 20, 20, 28, 53, 56, 57, 67, 91, 92, 720]
|
|
|
|
--------------------------------------------------------------------------------
|
|
Unit tests for Wordfinder class
|
|
--------------------------------------------------------------------------------
|
|
|
|
>>> import random
|
|
|
|
>>> # The following is not enough for reproducibility under Python 2/3
|
|
>>> # (see http://bugs.python.org/issue9025) so this test is skipped.
|
|
>>> random.seed(12345)
|
|
|
|
>>> from nltk.misc import wordfinder
|
|
>>> wordfinder.word_finder() # doctest: +SKIP
|
|
Word Finder
|
|
<BLANKLINE>
|
|
J V L A I R O T A T I S I V O D E R E T
|
|
H U U B E A R O E P O C S O R E T N E P
|
|
A D A U Z E E S R A P P A L L M E N T R
|
|
C X A D Q S Z T P E O R S N G P J A D E
|
|
I G Y K K T I A A R G F I D T E L C N S
|
|
R E C N B H T R L T N N B W N T A O A I
|
|
A Y I L O E I A M E I A A Y U R P L L D
|
|
G L T V S T S F E A D I P H D O O H N I
|
|
R L S E C I N I L R N N M E C G R U E A
|
|
A A Y G I C E N L L E O I G Q R T A E L
|
|
M R C E T I S T A E T L L E U A E N R L
|
|
O U O T A S E E C S O O N H Y P A T G Y
|
|
E M H O M M D R E S F P U L T H C F N V
|
|
L A C A I M A M A N L B R U T E D O M I
|
|
O R I L N E E E E E U A R S C R Y L I P
|
|
H T R K E S N N M S I L A S R E V I N U
|
|
T X T A A O U T K S E T A R R E S I B J
|
|
A E D L E L J I F O O R P E L K N I R W
|
|
K H A I D E Q O P R I C K T I M B E R P
|
|
Z K D O O H G N I H T U R V E Y D R O P
|
|
<BLANKLINE>
|
|
1: INTERCHANGER
|
|
2: TEARLESSNESS
|
|
3: UNIVERSALISM
|
|
4: DESENSITIZER
|
|
5: INTERMENTION
|
|
6: TRICHOCYSTIC
|
|
7: EXTRAMURALLY
|
|
8: VEGETOALKALI
|
|
9: PALMELLACEAE
|
|
10: AESTHETICISM
|
|
11: PETROGRAPHER
|
|
12: VISITATORIAL
|
|
13: OLEOMARGARIC
|
|
14: WRINKLEPROOF
|
|
15: PRICKTIMBER
|
|
16: PRESIDIALLY
|
|
17: SCITAMINEAE
|
|
18: ENTEROSCOPE
|
|
19: APPALLMENT
|
|
20: TURVEYDROP
|
|
21: THINGHOOD
|
|
22: BISERRATE
|
|
23: GREENLAND
|
|
24: BRUTEDOM
|
|
25: POLONIAN
|
|
26: ACOLHUAN
|
|
27: LAPORTEA
|
|
28: TENDING
|
|
29: TEREDO
|
|
30: MESOLE
|
|
31: UNLIMP
|
|
32: OSTARA
|
|
33: PILY
|
|
34: DUNT
|
|
35: ONYX
|
|
36: KATH
|
|
37: JUNE
|