Function test_watch

tests/test_pysnooper.py:339–389

(normalize)

@pytest.mark.parametrize("normalize", (True, False))
def test_watch(normalize):
    class Foo(object):
        def __init__(self):
            self.x = 2

        def square(self):
            self.x **= 2

    @pysnooper.snoop(watch=(
            'foo.x',
            'io.__name__',
            'len(foo.__dict__["x"] * "abc")',
    ), normalize=normalize, color=False)
    def my_function():
        foo = Foo()
        for i in range(2):
            foo.square()

    with mini_toolbox.OutputCapturer(stdout=False,
                                     stderr=True) as output_capturer:
        result = my_function()
    assert result is None
    output = output_capturer.string_io.getvalue()
    assert_output(
        output,
        (
            SourcePathEntry(),
            VariableEntry('Foo'),
            VariableEntry('io.__name__', "'io'"),
            CallEntry('def my_function():'),
            LineEntry('foo = Foo()'),
            VariableEntry('foo'),
            VariableEntry('foo.x', '2'),
            VariableEntry('len(foo.__dict__["x"] * "abc")', '6'),
            LineEntry(),
            VariableEntry('i', '0'),
            LineEntry(),
            VariableEntry('foo.x', '4'),
            VariableEntry('len(foo.__dict__["x"] * "abc")', '12'),
            LineEntry(),
            VariableEntry('i', '1'),
            LineEntry(),
            VariableEntry('foo.x', '16'),
            VariableEntry('len(foo.__dict__["x"] * "abc")', '48'),
            LineEntry(),
            ReturnEntry(),
            ReturnValueEntry('None'),
            ElapsedTimeEntry(),
        ),
        normalize=normalize,
    )


@pytest.mark.parametrize("normalize", (True, False))