𝗖𝗨𝗥𝗥𝗘𝗡𝗧 𝗙𝗜𝗟𝗘 : /lib/python3.6/site-packages/google/protobuf/internal/__pycache__//_parameterized.cpython-36.pyc
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d� de�Zdd� Zdd� Zdd� Zdd� Zdd� Z G dd� de �Z dd � Z G d d � d ej e d �Z!d d!� Z"dS )"a( Adds support for parameterized tests to Python's unittest TestCase class.
A parameterized test is a method in a test case that is invoked with different
argument tuples.
A simple example:
class AdditionExample(parameterized.ParameterizedTestCase):
@parameterized.Parameters(
(1, 2, 3),
(4, 5, 9),
(1, 1, 3))
def testAddition(self, op1, op2, result):
self.assertEqual(result, op1 + op2)
Each invocation is a separate test case and properly isolated just
like a normal test method, with its own setUp/tearDown cycle. In the
example above, there are three separate testcases, one of which will
fail due to an assertion error (1 + 1 != 3).
Parameters for invididual test cases can be tuples (with positional parameters)
or dictionaries (with named parameters):
class AdditionExample(parameterized.ParameterizedTestCase):
@parameterized.Parameters(
{'op1': 1, 'op2': 2, 'result': 3},
{'op1': 4, 'op2': 5, 'result': 9},
)
def testAddition(self, op1, op2, result):
self.assertEqual(result, op1 + op2)
If a parameterized test fails, the error message will show the
original test name (which is modified internally) and the arguments
for the specific invocation, which are part of the string returned by
the shortDescription() method on test cases.
The id method of the test, used internally by the unittest framework,
is also modified to show the arguments. To make sure that test names
stay the same across several invocations, object representations like
>>> class Foo(object):
... pass
>>> repr(Foo())
'<__main__.Foo object at 0x23d8610>'
are turned into '<__main__.Foo>'. For even more descriptive names,
especially in test logs, you can use the NamedParameters decorator. In
this case, only tuples are supported, and the first parameters has to
be a string (or an object that returns an apt name when converted via
str()):
class NamedExample(parameterized.ParameterizedTestCase):
@parameterized.NamedParameters(
('Normal', 'aa', 'aaa', True),
('EmptyPrefix', '', 'abc', True),
('BothEmpty', '', '', True))
def testStartsWith(self, prefix, string, result):
self.assertEqual(result, strings.startswith(prefix))
Named tests also have the benefit that they can be run individually
from the command line:
$ testmodule.py NamedExample.testStartsWithNormal
.
--------------------------------------------------------------------
Ran 1 test in 0.000s
OK
Parameterized Classes
=====================
If invocation arguments are shared across test methods in a single
ParameterizedTestCase class, instead of decorating all test methods
individually, the class itself can be decorated:
@parameterized.Parameters(
(1, 2, 3)
(4, 5, 9))
class ArithmeticTest(parameterized.ParameterizedTestCase):
def testAdd(self, arg1, arg2, result):
self.assertEqual(arg1 + arg2, result)
def testSubtract(self, arg2, arg2, result):
self.assertEqual(result - arg1, arg2)
Inputs from Iterables
=====================
If parameters should be shared across several test cases, or are dynamically
created from other sources, a single non-tuple iterable can be passed into
the decorator. This iterable will be used to obtain the test cases:
class AdditionExample(parameterized.ParameterizedTestCase):
@parameterized.Parameters(
c.op1, c.op2, c.result for c in testcases
)
def testAddition(self, op1, op2, result):
self.assertEqual(result, op1 + op2)
Single-Argument Test Methods
============================
If a test method takes only one argument, the single argument does not need to
be wrapped into a tuple:
class NegativeNumberExample(parameterized.ParameterizedTestCase):
@parameterized.Parameters(
-1, -3, -4, -5
)
def testIsNegative(self, arg):
self.assertTrue(IsNegative(arg))
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import google3
import mox
from google3.testing.pybase import parameterized
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