Minitest is inspired by Ruby minispec.
Project description
This project is inspired by Ruby minispec, but now it just implement some methods including:
must_equal, must_true, must_false, must_raise.
And some other useful functions:
p, pp, pl, ppl, length, size, inject.
github: https://github.com/jichen3000/minitest
pypi: https://pypi.python.org/pypi/minitest
How to use
install:
pip install minitest
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("test must_equal"): tself.jc.must_equal('jc') None.must_equal(None) with test("test must_true"): True.must_true() False.must_true() with test("test must_false"): True.must_false() False.must_false() # using a funcation to test equal. with test("test 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")
result:
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' 6 tests, 14 assertions, 4 failures, 0 errors. [Finished in 0.1s]
Other useful function
p, pp, pl, ppl, length, size, these four functions could been used by any object.
p is a print function. This function will add variable name as the title. code:
value = "Minitest" # add a title 'value : ' automatically. value.p() # value : Minitest # or you can give a string as title. value.p("It is a value:") # It is a value: Minitest # if you don't want a title, use the parameter value.p(auto_get_title=False) # Minitest
pp is another print function which will invoke the pprint.pprint function. Its parameters are just like the p. code:
value = "Minitest" value.pp() # value : # 'Minitest' value.pp("It is a value:") # It is a value: # 'Minitest' value.pp(auto_get_title=False) # 'Minitest'
pl is another print function which will print the file path and line NO. And some editors support to go to the line of that file, such as Sublime2. Its parameters are just like the p. Notice, it will print new line firstly, since in some case, there will be other string before file path, which cause some editor cannot jump to the location.
code:
value = "Minitest" value.pl() # # File "/Users/Colin/work/minitest/test.py", line 72 # value : Minitest value.pl("It is a value:") # # File "/Users/Colin/work/minitest/test.py", line 73 # It is a value: Minitest value.pl(auto_get_title=False) # # File "/Users/Colin/work/minitest/test.py", line 74 # Minitest
ppl is another print function which will print the file path and line NO. It almost like pl except print value in another new line. Notice, it will print new line firstly. code:
value = "Minitest" value.ppl() # # File "/Users/Colin/work/minitest/test.py", line 76 # value : # 'Minitest' value.ppl("It is a value:") # # File "/Users/Colin/work/minitest/test.py", line 77 # It is a value: # 'Minitest' value.ppl(auto_get_title=False) # # File "/Users/Colin/work/minitest/test.py", line 78 # 'Minitest'
length and size will invoke len function for the caller’s object. code:
[1,2].length() # 2, just like len([1,2]) (1,2).size() # 2, just like len((1,2))
inject_customized_must_method or inject function will inject the function which you customize. Why do I make this function? Since in many case I will use numpy array. When it comes to comparing two numpy array, I have to use:
import numpy numpy.array([1]).must_equal(numpy.array([1.0]), numpy.allclose)
For being convient, I use inject_customized_must_method or inject function like:
import numpy inject(numpy.allclose, 'must_close') numpy.array([1]).must_close(numpy.array([1.0]))
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