minitest的灵感来自ruby minispec。
minitest的Python项目详细描述
这个项目的灵感来自于ruby minispec，但是现在它只是实现了 一些方法包括：
must_equal, must_true, must_false, must_raise, must_output, only_test.
以及其他一些有用的功能：
p, pp, pl, ppl, length, size, inject, flag_test, p_format, pp_format, pl_format, ppl_format, capture_output.
github:https://github.com/jichen3000/minitest
PYPI:https://pypi.python.org/pypi/minitest
如何安装
pip install minitest
如何使用
举个简单的例子，你只要写一个名为x的函数，我就可以 喜欢将unittest写入与以下文件相同的文件：code:
if __name__ == '__main__':
# import the minitest
from minitest import *
import operator
# declare a variable for test
tself = get_test_self()
# you could put all your test variables on tself
# just like declare your variables on setup.
tself.jc = "jc"
# declare a test
with test(object.must_equal):
tself.jc.must_equal('jc')
None.must_equal(None)
with test(object.must_true):
True.must_true()
False.must_true()
with test(object.must_false):
True.must_false()
False.must_false()
# using a funcation to test equal.
with test("object.must_equal_with_func"):
(1).must_equal(1, key=operator.eq)
(1).must_equal(2, key=operator.eq)
def div_zero():
1/0
# test exception
with test("test must_raise"):
(lambda : div_zero()).must_raise(ZeroDivisionError)
(lambda : div_zero()).must_raise(ZeroDivisionError, "integer division or modulo by zero")
(lambda : div_zero()).must_raise(ZeroDivisionError, "in")
# when assertion fails, it will show the failure_msg
with test("with failure_msg"):
the_number = 10
(the_number % 2).must_equal(1,
failure_msg="{0} is the number".format(the_number))
# it wont show the failure_msg
(the_number % 2).must_equal(0,
failure_msg="{0} is the number".format(the_number))
(True).must_false(
failure_msg="{0} is the number".format(the_number))
(lambda : div_zero()).must_raise(ZeroDivisionError, "in",
failure_msg="{0} is the number".format(the_number))
def print_msg_twice(msg):
print msg
print msg
return msg
with test("capture_output"):
with capture_output() as output:
result = print_msg_twice("foobar")
result.must_equal("foobar")
output.must_equal(["foobar","foobar"])
with test("must output"):
(lambda : print_msg_twice("foobar")).must_output(
["foobar","foobar"])
(lambda : print_msg_twice("foobar")).must_output(
["foobar","wrong"])
结果：
Running tests: .FFFF. Finished tests in 0.013165s. 1) Failure: File "/Users/Colin/work/minitest/test.py", line 29, in <module>: EXPECTED: True ACTUAL: False 2) Failure: File "/Users/Colin/work/minitest/test.py", line 32, in <module>: EXPECTED: False ACTUAL: True 3) Failure: File "/Users/Colin/work/minitest/test.py", line 38, in <module>: EXPECTED: 2 ACTUAL: 1 4) Failure: File "/Users/Colin/work/minitest/test.py", line 47, in <module>: EXPECTED: 'in' ACTUAL: 'integer division or modulo by zero' 5) Failure: File "/Users/colin/work/minitest/test.py", line 86, in <module>: MESSAGE: '10 is the number' EXPECTED: 1 ACTUAL: 0 6) Failure: File "/Users/colin/work/minitest/test.py", line 92, in <module>: MESSAGE: '10 is the number' EXPECTED: False ACTUAL: True 7) Failure: File "/Users/colin/work/minitest/test.py", line 95, in <module>: MESSAGE: '10 is the number' EXPECTED: 'in' ACTUAL: 'integer division or modulo by zero' 8) Failure: File "/Users/colin/work/minitest/test.py", line 102, in <module>: EXPECTED: ['foobar', 'wrong'] ACTUAL: ['foobar', 'foobar'] 12 tests, 22 assertions, 8 failures, 0 errors. [Finished in 0.1s]
仅限_测试功能
如果只想运行一些测试函数，则只能使用 指定它们的功能。注意，你必须把它放在测试的顶端 函数，就像下面的例子。代码：
def foo():
return "foo"
def bar():
return "bar"
if __name__ == '__main__':
from minitest import *
only_test("for only run", foo)
with test("for only run"):
(1).must_equal(1)
(2).must_equal(2)
pass
with test("other"):
(1).must_equal(1)
(2).must_equal(2)
pass
with test(foo):
foo().must_equal("foo")
with test(bar):
bar().must_equal("bar")
它将只为您运行test（“for only run”）和test（foo）。
其他有用功能
捕获输出，p，pp，pl，ppl，长度，大小，p_格式，pp_格式， pl_format，ppl_format这些函数可以被任何对象使用。
捕获输出，捕获标准输出。此函数将打印 变量名作为标题。代码：def print_msg_tween（msg）：print msg 打印消息返回消息
with capture_output() as output:
result = print_msg_twice("foobar")
print result
print output
打印结果：
"foobar" ["foobar","foobar"]
P，打印标题。此函数将变量名打印为 头衔。代码：
value = "Minitest"
value.p()
value.p("It is a value:")
value.p(auto_get_title=False)
打印结果：
value : 'Minitest' It is a value: 'Minitest' 'Minitest'
pp，有标题的漂亮印刷品。此函数将变量名打印为 标题在第一行，然后漂亮地打印变量的内容 在标题下面。代码：
value = "Minitest"
value.pp()
value.pp("It is a value:")
value.pp(auto_get_title=False)
打印结果：
value : 'Minitest' It is a value: 'Minitest' 'Minitest'
打印标题和代码位置。这个函数和pt一样，但是 将在第一行打印代码位置。一些编辑支持 转到该文件的行，例如sublime2。代码：
value = "Minitest"
value.pl()
value.pl("It is a value:")
value.pl(auto_get_title=False)
打印结果：
File "/Users/Colin/work/minitest/test.py", line 76
value : 'Minitest'
File "/Users/Colin/work/minitest/test.py", line 77
It is a value: 'Minitest'
File "/Users/Colin/work/minitest/test.py", line 78
'Minitest'
PPL，漂亮的打印标题和代码位置。这个函数就像 但会在第一行打印代码位置。注意：会的 先打印空行。代码：
value = "Minitest"
value.ppl()
value.ppl("It is a value:")
value.ppl(auto_get_title=False)
打印结果：
File "/Users/Colin/work/minitest/test.py", line 76
value :
'Minitest'
File "/Users/Colin/work/minitest/test.py", line 77
It is a value:
'Minitest'
File "/Users/Colin/work/minitest/test.py", line 78
'Minitest'
p_u格式，获取字符串，就像p函数打印一样。我把它用在 使用日志进行调试，例如：logging.debug（value.p_format（））代码：
value = "Minitest" value.p_format()
返回结果：
value : 'Minitest'
pp_格式，获取字符串，就像pp函数打印一样。我把它用在 使用日志进行调试，例如：logging.debug（value.p p_format（））代码：
value = "Minitest" value.pp_format()
返回结果：
value :\n'Minitest'
pl_format，获取字符串，就像pl函数打印一样。我把它用在 使用日志进行调试，例如：logging.debug（value.pl_format（））代码：
value = "Minitest" value.pl_format()
返回结果：
line info: File "/Users/Colin/work/minitest/test.py", line 76, in <module>\nvalue : 'Minitest'
ppl_格式，获取字符串，就像ppl函数打印一样。我把它用在 使用日志进行调试，例如：logging.debug（value.ppl_format（））代码：
value = "Minitest" value.ppl_format()
返回结果：
line info: File "/Users/Colin/work/minitest/test.py", line 76, in <module>\nvalue :\n'Minitest'
长度和大小将调用调用方对象的len函数。代码：
[1,2].length() # 2, just like len([1,2]) (1,2).size() # 2, just like len((1,2))
注入自定义的注入方法，否则注入函数将注入 自定义的功能。我为什么要做这个功能？因为在很多地方 如果我使用numpy数组。在比较两个numpy数组时， 我必须使用：
import numpy numpy.array([1]).must_equal(numpy.array([1.0]), numpy.allclose)
为了方便起见，我使用了自定义的注入方法或注入 功能如下：
import numpy inject(numpy.allclose, 'must_close') numpy.array([1]).must_close(numpy.array([1.0]))
flag_test将打印一条消息“此处有测试代码 地方！'和代码位置。代码：
flag_test()
# add a title
flag_test("for test")
打印结果：
File "/Users/colin/work/minitest/test.py", line 97, in <module>:
There are test codes in this place!
File "/Users/colin/work/minitest/test.py", line 101, in <module>:
for test : There are test codes in this place!
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