Show More
1 | NO CONTENT: new file 100644 |
|
NO CONTENT: new file 100644 |
@@ -0,0 +1,369 b'' | |||||
|
1 | # -*- coding: utf-8 -*- | |||
|
2 | """Decorators for labeling test objects. | |||
|
3 | ||||
|
4 | Decorators that merely return a modified version of the original function | |||
|
5 | object are straightforward. Decorators that return a new function object need | |||
|
6 | to use nose.tools.make_decorator(original_function)(decorator) in returning the | |||
|
7 | decorator, in order to preserve metadata such as function name, setup and | |||
|
8 | teardown functions and so on - see nose.tools for more information. | |||
|
9 | ||||
|
10 | This module provides a set of useful decorators meant to be ready to use in | |||
|
11 | your own tests. See the bottom of the file for the ready-made ones, and if you | |||
|
12 | find yourself writing a new one that may be of generic use, add it here. | |||
|
13 | ||||
|
14 | Included decorators: | |||
|
15 | ||||
|
16 | ||||
|
17 | Lightweight testing that remains unittest-compatible. | |||
|
18 | ||||
|
19 | - An @as_unittest decorator can be used to tag any normal parameter-less | |||
|
20 | function as a unittest TestCase. Then, both nose and normal unittest will | |||
|
21 | recognize it as such. This will make it easier to migrate away from Nose if | |||
|
22 | we ever need/want to while maintaining very lightweight tests. | |||
|
23 | ||||
|
24 | NOTE: This file contains IPython-specific decorators. Using the machinery in | |||
|
25 | IPython.external.decorators, we import either numpy.testing.decorators if numpy is | |||
|
26 | available, OR use equivalent code in IPython.external._decorators, which | |||
|
27 | we've copied verbatim from numpy. | |||
|
28 | ||||
|
29 | """ | |||
|
30 | ||||
|
31 | # Copyright (c) IPython Development Team. | |||
|
32 | # Distributed under the terms of the Modified BSD License. | |||
|
33 | ||||
|
34 | import sys | |||
|
35 | import os | |||
|
36 | import tempfile | |||
|
37 | import unittest | |||
|
38 | ||||
|
39 | from decorator import decorator | |||
|
40 | ||||
|
41 | # Expose the unittest-driven decorators | |||
|
42 | from .ipunittest import ipdoctest, ipdocstring | |||
|
43 | ||||
|
44 | # Grab the numpy-specific decorators which we keep in a file that we | |||
|
45 | # occasionally update from upstream: decorators.py is a copy of | |||
|
46 | # numpy.testing.decorators, we expose all of it here. | |||
|
47 | from IPython.external.decorators import * | |||
|
48 | ||||
|
49 | # For onlyif_cmd_exists decorator | |||
|
50 | from IPython.utils.py3compat import string_types, which | |||
|
51 | ||||
|
52 | #----------------------------------------------------------------------------- | |||
|
53 | # Classes and functions | |||
|
54 | #----------------------------------------------------------------------------- | |||
|
55 | ||||
|
56 | # Simple example of the basic idea | |||
|
57 | def as_unittest(func): | |||
|
58 | """Decorator to make a simple function into a normal test via unittest.""" | |||
|
59 | class Tester(unittest.TestCase): | |||
|
60 | def test(self): | |||
|
61 | func() | |||
|
62 | ||||
|
63 | Tester.__name__ = func.__name__ | |||
|
64 | ||||
|
65 | return Tester | |||
|
66 | ||||
|
67 | # Utility functions | |||
|
68 | ||||
|
69 | def apply_wrapper(wrapper,func): | |||
|
70 | """Apply a wrapper to a function for decoration. | |||
|
71 | ||||
|
72 | This mixes Michele Simionato's decorator tool with nose's make_decorator, | |||
|
73 | to apply a wrapper in a decorator so that all nose attributes, as well as | |||
|
74 | function signature and other properties, survive the decoration cleanly. | |||
|
75 | This will ensure that wrapped functions can still be well introspected via | |||
|
76 | IPython, for example. | |||
|
77 | """ | |||
|
78 | import nose.tools | |||
|
79 | ||||
|
80 | return decorator(wrapper,nose.tools.make_decorator(func)(wrapper)) | |||
|
81 | ||||
|
82 | ||||
|
83 | def make_label_dec(label,ds=None): | |||
|
84 | """Factory function to create a decorator that applies one or more labels. | |||
|
85 | ||||
|
86 | Parameters | |||
|
87 | ---------- | |||
|
88 | label : string or sequence | |||
|
89 | One or more labels that will be applied by the decorator to the functions | |||
|
90 | it decorates. Labels are attributes of the decorated function with their | |||
|
91 | value set to True. | |||
|
92 | ||||
|
93 | ds : string | |||
|
94 | An optional docstring for the resulting decorator. If not given, a | |||
|
95 | default docstring is auto-generated. | |||
|
96 | ||||
|
97 | Returns | |||
|
98 | ------- | |||
|
99 | A decorator. | |||
|
100 | ||||
|
101 | Examples | |||
|
102 | -------- | |||
|
103 | ||||
|
104 | A simple labeling decorator: | |||
|
105 | ||||
|
106 | >>> slow = make_label_dec('slow') | |||
|
107 | >>> slow.__doc__ | |||
|
108 | "Labels a test as 'slow'." | |||
|
109 | ||||
|
110 | And one that uses multiple labels and a custom docstring: | |||
|
111 | ||||
|
112 | >>> rare = make_label_dec(['slow','hard'], | |||
|
113 | ... "Mix labels 'slow' and 'hard' for rare tests.") | |||
|
114 | >>> rare.__doc__ | |||
|
115 | "Mix labels 'slow' and 'hard' for rare tests." | |||
|
116 | ||||
|
117 | Now, let's test using this one: | |||
|
118 | >>> @rare | |||
|
119 | ... def f(): pass | |||
|
120 | ... | |||
|
121 | >>> | |||
|
122 | >>> f.slow | |||
|
123 | True | |||
|
124 | >>> f.hard | |||
|
125 | True | |||
|
126 | """ | |||
|
127 | ||||
|
128 | if isinstance(label, string_types): | |||
|
129 | labels = [label] | |||
|
130 | else: | |||
|
131 | labels = label | |||
|
132 | ||||
|
133 | # Validate that the given label(s) are OK for use in setattr() by doing a | |||
|
134 | # dry run on a dummy function. | |||
|
135 | tmp = lambda : None | |||
|
136 | for label in labels: | |||
|
137 | setattr(tmp,label,True) | |||
|
138 | ||||
|
139 | # This is the actual decorator we'll return | |||
|
140 | def decor(f): | |||
|
141 | for label in labels: | |||
|
142 | setattr(f,label,True) | |||
|
143 | return f | |||
|
144 | ||||
|
145 | # Apply the user's docstring, or autogenerate a basic one | |||
|
146 | if ds is None: | |||
|
147 | ds = "Labels a test as %r." % label | |||
|
148 | decor.__doc__ = ds | |||
|
149 | ||||
|
150 | return decor | |||
|
151 | ||||
|
152 | ||||
|
153 | # Inspired by numpy's skipif, but uses the full apply_wrapper utility to | |||
|
154 | # preserve function metadata better and allows the skip condition to be a | |||
|
155 | # callable. | |||
|
156 | def skipif(skip_condition, msg=None): | |||
|
157 | ''' Make function raise SkipTest exception if skip_condition is true | |||
|
158 | ||||
|
159 | Parameters | |||
|
160 | ---------- | |||
|
161 | ||||
|
162 | skip_condition : bool or callable | |||
|
163 | Flag to determine whether to skip test. If the condition is a | |||
|
164 | callable, it is used at runtime to dynamically make the decision. This | |||
|
165 | is useful for tests that may require costly imports, to delay the cost | |||
|
166 | until the test suite is actually executed. | |||
|
167 | msg : string | |||
|
168 | Message to give on raising a SkipTest exception. | |||
|
169 | ||||
|
170 | Returns | |||
|
171 | ------- | |||
|
172 | decorator : function | |||
|
173 | Decorator, which, when applied to a function, causes SkipTest | |||
|
174 | to be raised when the skip_condition was True, and the function | |||
|
175 | to be called normally otherwise. | |||
|
176 | ||||
|
177 | Notes | |||
|
178 | ----- | |||
|
179 | You will see from the code that we had to further decorate the | |||
|
180 | decorator with the nose.tools.make_decorator function in order to | |||
|
181 | transmit function name, and various other metadata. | |||
|
182 | ''' | |||
|
183 | ||||
|
184 | def skip_decorator(f): | |||
|
185 | # Local import to avoid a hard nose dependency and only incur the | |||
|
186 | # import time overhead at actual test-time. | |||
|
187 | import nose | |||
|
188 | ||||
|
189 | # Allow for both boolean or callable skip conditions. | |||
|
190 | if callable(skip_condition): | |||
|
191 | skip_val = skip_condition | |||
|
192 | else: | |||
|
193 | skip_val = lambda : skip_condition | |||
|
194 | ||||
|
195 | def get_msg(func,msg=None): | |||
|
196 | """Skip message with information about function being skipped.""" | |||
|
197 | if msg is None: out = 'Test skipped due to test condition.' | |||
|
198 | else: out = msg | |||
|
199 | return "Skipping test: %s. %s" % (func.__name__,out) | |||
|
200 | ||||
|
201 | # We need to define *two* skippers because Python doesn't allow both | |||
|
202 | # return with value and yield inside the same function. | |||
|
203 | def skipper_func(*args, **kwargs): | |||
|
204 | """Skipper for normal test functions.""" | |||
|
205 | if skip_val(): | |||
|
206 | raise nose.SkipTest(get_msg(f,msg)) | |||
|
207 | else: | |||
|
208 | return f(*args, **kwargs) | |||
|
209 | ||||
|
210 | def skipper_gen(*args, **kwargs): | |||
|
211 | """Skipper for test generators.""" | |||
|
212 | if skip_val(): | |||
|
213 | raise nose.SkipTest(get_msg(f,msg)) | |||
|
214 | else: | |||
|
215 | for x in f(*args, **kwargs): | |||
|
216 | yield x | |||
|
217 | ||||
|
218 | # Choose the right skipper to use when building the actual generator. | |||
|
219 | if nose.util.isgenerator(f): | |||
|
220 | skipper = skipper_gen | |||
|
221 | else: | |||
|
222 | skipper = skipper_func | |||
|
223 | ||||
|
224 | return nose.tools.make_decorator(f)(skipper) | |||
|
225 | ||||
|
226 | return skip_decorator | |||
|
227 | ||||
|
228 | # A version with the condition set to true, common case just to attach a message | |||
|
229 | # to a skip decorator | |||
|
230 | def skip(msg=None): | |||
|
231 | """Decorator factory - mark a test function for skipping from test suite. | |||
|
232 | ||||
|
233 | Parameters | |||
|
234 | ---------- | |||
|
235 | msg : string | |||
|
236 | Optional message to be added. | |||
|
237 | ||||
|
238 | Returns | |||
|
239 | ------- | |||
|
240 | decorator : function | |||
|
241 | Decorator, which, when applied to a function, causes SkipTest | |||
|
242 | to be raised, with the optional message added. | |||
|
243 | """ | |||
|
244 | ||||
|
245 | return skipif(True,msg) | |||
|
246 | ||||
|
247 | ||||
|
248 | def onlyif(condition, msg): | |||
|
249 | """The reverse from skipif, see skipif for details.""" | |||
|
250 | ||||
|
251 | if callable(condition): | |||
|
252 | skip_condition = lambda : not condition() | |||
|
253 | else: | |||
|
254 | skip_condition = lambda : not condition | |||
|
255 | ||||
|
256 | return skipif(skip_condition, msg) | |||
|
257 | ||||
|
258 | #----------------------------------------------------------------------------- | |||
|
259 | # Utility functions for decorators | |||
|
260 | def module_not_available(module): | |||
|
261 | """Can module be imported? Returns true if module does NOT import. | |||
|
262 | ||||
|
263 | This is used to make a decorator to skip tests that require module to be | |||
|
264 | available, but delay the 'import numpy' to test execution time. | |||
|
265 | """ | |||
|
266 | try: | |||
|
267 | mod = __import__(module) | |||
|
268 | mod_not_avail = False | |||
|
269 | except ImportError: | |||
|
270 | mod_not_avail = True | |||
|
271 | ||||
|
272 | return mod_not_avail | |||
|
273 | ||||
|
274 | ||||
|
275 | def decorated_dummy(dec, name): | |||
|
276 | """Return a dummy function decorated with dec, with the given name. | |||
|
277 | ||||
|
278 | Examples | |||
|
279 | -------- | |||
|
280 | import IPython.testing.decorators as dec | |||
|
281 | setup = dec.decorated_dummy(dec.skip_if_no_x11, __name__) | |||
|
282 | """ | |||
|
283 | dummy = lambda: None | |||
|
284 | dummy.__name__ = name | |||
|
285 | return dec(dummy) | |||
|
286 | ||||
|
287 | #----------------------------------------------------------------------------- | |||
|
288 | # Decorators for public use | |||
|
289 | ||||
|
290 | # Decorators to skip certain tests on specific platforms. | |||
|
291 | skip_win32 = skipif(sys.platform == 'win32', | |||
|
292 | "This test does not run under Windows") | |||
|
293 | skip_linux = skipif(sys.platform.startswith('linux'), | |||
|
294 | "This test does not run under Linux") | |||
|
295 | skip_osx = skipif(sys.platform == 'darwin',"This test does not run under OS X") | |||
|
296 | ||||
|
297 | ||||
|
298 | # Decorators to skip tests if not on specific platforms. | |||
|
299 | skip_if_not_win32 = skipif(sys.platform != 'win32', | |||
|
300 | "This test only runs under Windows") | |||
|
301 | skip_if_not_linux = skipif(not sys.platform.startswith('linux'), | |||
|
302 | "This test only runs under Linux") | |||
|
303 | skip_if_not_osx = skipif(sys.platform != 'darwin', | |||
|
304 | "This test only runs under OSX") | |||
|
305 | ||||
|
306 | ||||
|
307 | _x11_skip_cond = (sys.platform not in ('darwin', 'win32') and | |||
|
308 | os.environ.get('DISPLAY', '') == '') | |||
|
309 | _x11_skip_msg = "Skipped under *nix when X11/XOrg not available" | |||
|
310 | ||||
|
311 | skip_if_no_x11 = skipif(_x11_skip_cond, _x11_skip_msg) | |||
|
312 | ||||
|
313 | # not a decorator itself, returns a dummy function to be used as setup | |||
|
314 | def skip_file_no_x11(name): | |||
|
315 | return decorated_dummy(skip_if_no_x11, name) if _x11_skip_cond else None | |||
|
316 | ||||
|
317 | # Other skip decorators | |||
|
318 | ||||
|
319 | # generic skip without module | |||
|
320 | skip_without = lambda mod: skipif(module_not_available(mod), "This test requires %s" % mod) | |||
|
321 | ||||
|
322 | skipif_not_numpy = skip_without('numpy') | |||
|
323 | ||||
|
324 | skipif_not_matplotlib = skip_without('matplotlib') | |||
|
325 | ||||
|
326 | skipif_not_sympy = skip_without('sympy') | |||
|
327 | ||||
|
328 | skip_known_failure = knownfailureif(True,'This test is known to fail') | |||
|
329 | ||||
|
330 | known_failure_py3 = knownfailureif(sys.version_info[0] >= 3, | |||
|
331 | 'This test is known to fail on Python 3.') | |||
|
332 | ||||
|
333 | # A null 'decorator', useful to make more readable code that needs to pick | |||
|
334 | # between different decorators based on OS or other conditions | |||
|
335 | null_deco = lambda f: f | |||
|
336 | ||||
|
337 | # Some tests only run where we can use unicode paths. Note that we can't just | |||
|
338 | # check os.path.supports_unicode_filenames, which is always False on Linux. | |||
|
339 | try: | |||
|
340 | f = tempfile.NamedTemporaryFile(prefix=u"tmp€") | |||
|
341 | except UnicodeEncodeError: | |||
|
342 | unicode_paths = False | |||
|
343 | else: | |||
|
344 | unicode_paths = True | |||
|
345 | f.close() | |||
|
346 | ||||
|
347 | onlyif_unicode_paths = onlyif(unicode_paths, ("This test is only applicable " | |||
|
348 | "where we can use unicode in filenames.")) | |||
|
349 | ||||
|
350 | ||||
|
351 | def onlyif_cmds_exist(*commands): | |||
|
352 | """ | |||
|
353 | Decorator to skip test when at least one of `commands` is not found. | |||
|
354 | """ | |||
|
355 | for cmd in commands: | |||
|
356 | if not which(cmd): | |||
|
357 | return skip("This test runs only if command '{0}' " | |||
|
358 | "is installed".format(cmd)) | |||
|
359 | return null_deco | |||
|
360 | ||||
|
361 | def onlyif_any_cmd_exists(*commands): | |||
|
362 | """ | |||
|
363 | Decorator to skip test unless at least one of `commands` is found. | |||
|
364 | """ | |||
|
365 | for cmd in commands: | |||
|
366 | if which(cmd): | |||
|
367 | return null_deco | |||
|
368 | return skip("This test runs only if one of the commands {0} " | |||
|
369 | "is installed".format(commands)) |
General Comments 0
You need to be logged in to leave comments.
Login now