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Python Fuzzy Matchers

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tl;dr Equals is a stricter version of Mock.Any.

Equals allows you to assert certain equality constraints between python objects during testing. There are times where we don’t want to assert absolute equality, e.g. we need to ensure two lists have the same elements, but don’t care about order. This was designed specifically for usage with Mock and doubles.

Usage with Mock:

test_object = Mock()
test_object.method({'bob': 'barker'})
test_object.method.assert_called_with(any_dict)

Usage with doubles:

test_object = TestClass()
expect(test_object).method.with_args(any_string.containing('bob'))

test_object.method('bob barker')

strings:

any_string.containing('abc') == '123 abc 456'
any_string.starting_with('abc') == 'abcdef'
any_string.ending_with('abc') == '123abc'
any_string.matching('^abc$') == 'abc'

numbers:

any_number.less_than(5) == 4
any_number.less_than_or_equal_to(5) == 5
any_number.greater_than(4) == 5
any_number.greater_than_or_equal_to(5) == 5
any_number.between(1, 3) == 2

dictionaries:

any_dict.containing(1, 2) == {1: 2, 2:3, 4:5}
any_dict.containing(foo='bar') == {
    'foo': 'bar',
    'bob': 'barker'
}
any_dict.not_containing(1, foo=5) == {'foo':3, 4:5}

iterators:

any_iterable.containing(1, 2, 3) == [1, 2, 3, 4, 5]
any_iterable.containing_only(1, 2, 3) == [2, 3, 1]
any_iterable.not_containing(1, 2) == [3, 4]

objects:

anything == None
anything == True
anything == {1: 1}
anything_true == 'dd'
anything_false == ''

instance_of(dict) == {}
anything.with_attrs(foo='bar', bob='barker') == Dummy('bar', 'barker')
instance_of(Dummy).with_attrs(foo='bar', bob='barker') == Dummy('bar', 'barker')

Installation:

>> pip install equals

Development:

>> git clone https://github.com/toddsifleet/equals
>> cd equals
>> make bootstrap
>> make

License:

See LICENSE

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