Tools useful for the handling, visualization, and analysis of interferometric data.
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Make these their own tests. I like to make error tests very specific, so it's obvious when things in the code have been changed. For example, suppose the function ``func`` raises a ``ValueError`` with error message ``msg`` when ran with parameters ``args``. I would then write a test along the lines of #122
Make these their own tests. I like to make error tests very specific, so it's obvious when things in the code have been changed. For example, suppose the function func raises a ValueError with error message msg when ran with parameters args. I would then write a test along the lines of
def test_func_error():
args = [bad, parameter, values]
msg = "whatever the expected message is"
with pytest.raises(ValueError) as err:
func(*args)
assert err.value.args[0] == msg
For long error messages, I usually just check that part of the expected message is in the actual error message, e.g. assert "bit of text from message" in err.value.args[0].
Make these their own tests. I like to make error tests very specific, so it's obvious when things in the code have been changed. For example, suppose the function
func
raises aValueError
with error messagemsg
when ran with parametersargs
. I would then write a test along the lines ofFor long error messages, I usually just check that part of the expected message is in the actual error message, e.g.
assert "bit of text from message" in err.value.args[0]
._Originally posted by @r-pascua in https://github.com/HERA-Team/uvtools/pull/112#discussion_r624119060_