This is a pre-production deployment of Warehouse, however changes made here WILL affect the production instance of PyPI.
Latest Version Dependencies status unknown Test status unknown Test coverage unknown
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, must_output, only_test.

And some other useful functions:

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


Author

Colin Ji jichen3000@gmail.com

How to install

pip install minitest

How to use

For a simple example, you just write a function called x, and I would like to write the unittest in same file as: 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"])

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'


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]

only_test function

If you just want to run some test functions, you can use only_test funtion to specify them. Notice, you must put it on the top of test functions, just like the below example. code:

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")

It will only run test(“for only run”) and test(foo) for you.

Other useful function

capture_output, p, pp, pl, ppl, length, size, p_format, pp_format, pl_format, ppl_format these functions could been used by any object.

capture_output, capture the standard output. This function will print variable name as the title. code: def print_msg_twice(msg): print msg print msg return msg

with capture_output() as output:
    result = print_msg_twice("foobar")

print result
print output

print result:

"foobar"
["foobar","foobar"]

p, print with title. This function will print variable name as the title. code:

value = "Minitest"
value.p()

value.p("It is a value:")

value.p(auto_get_title=False)

print result:

value : 'Minitest'

It is a value: 'Minitest'

'Minitest'

pp, pretty print with title. This function will print variable name as the title in the first line, then pretty print the content of variable below the title. code:

value = "Minitest"
value.pp()

value.pp("It is a value:")

value.pp(auto_get_title=False)

print result:

value :
'Minitest'

 It is a value:
'Minitest'

'Minitest'

pl, print with title and code loction. This function just like pt, but will print the code location at the first line. And some editors support to go to the line of that file, such as Sublime2. code:

value = "Minitest"
value.pl()

value.pl("It is a value:")

value.pl(auto_get_title=False)

print result:

    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, pretty print with title and code loction. This function just like ppt, but will print the code location at the first line. Notice: it will print a null line firstly. code:

value = "Minitest"
value.ppl()

value.ppl("It is a value:")

value.ppl(auto_get_title=False)

print result:

    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_format, get the string just like p function prints. I use it in debugging with log, like: logging.debug(value.p_format()) code:

value = "Minitest"
value.p_format()

return result:

value : 'Minitest'

pp_format, get the string just like pp function prints. I use it in debugging with log, like: logging.debug(value.pp_format()) code:

value = "Minitest"
value.pp_format()

return result:

value :\n'Minitest'

pl_format, get the string just like pl function prints. I use it in debugging with log, like: logging.debug(value.pl_format()) code:

value = "Minitest"
value.pl_format()

return result:

line info: File "/Users/Colin/work/minitest/test.py", line 76, in <module>\nvalue : 'Minitest'

ppl_format, get the string just like ppl function prints. I use it in debugging with log, like: logging.debug(value.ppl_format()) code:

value = "Minitest"
value.ppl_format()

return result:

line info: File "/Users/Colin/work/minitest/test.py", line 76, in <module>\nvalue :\n'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]))

flag_test will print a message ‘There are codes for test in this place!’ with the code loction. code:

flag_test()

# add a title
flag_test("for test")

print result:

    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!
Release History

Release History

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Download Files

Download Files

TODO: Brief introduction on what you do with files - including link to relevant help section.

File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
minitest-2.0.3.tar.gz (10.9 kB) Copy SHA256 Checksum SHA256 Source Jul 20, 2016

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