Build: #1 failed

Job: Pipeline PR Test 6.6.6 failed

Stages & jobs

  1. Default Stage

Test results

  • 678 tests in total
  • 10 tests failed
  • 10 failures are new
  • 12 tests were quarantined / skipped
  • 10 minutes taken in total.

Build 1 has the following 10 errors: 10 new failure(s) occurred since the previous build.

New test failures 10
Status Test Duration
Collapse Failed worker_test test_build_fitting_configuration[ValueError-badfunc-True]
< 1 sec
TypeError: expected exception must be a BaseException type, not str
inp = <class 'ValueError'>, expected = 'badfunc', should_raise = True

    @pytest.mark.parametrize(
        "inp, expected, should_raise",
        [
            # valid inputs
            ({17: DEF,      19: DEF,      23: DEF}, None, False),
(18 more lines...)
Collapse Failed worker_test test_build_fitting_configuration[ValueError-expected9-True]
< 1 sec
TypeError: expected exception must be a BaseException type, not int
inp = <class 'ValueError'>, expected = {19: 'invalid'}, should_raise = True

    @pytest.mark.parametrize(
        "inp, expected, should_raise",
        [
            # valid inputs
            ({17: DEF,      19: DEF,      23: DEF}, None, False),
(18 more lines...)
Collapse Failed worker_test test_build_fitting_configuration[inp0-None-False]
< 1 sec
ValueError: Unsupported fitting function type: <class 'list'>
inp = {17: 'cspline', 19: 'cspline', 23: 'cspline'}, expected = None
should_raise = False

    @pytest.mark.parametrize(
        "inp, expected, should_raise",
        [
            # valid inputs
(99 more lines...)
Collapse Failed worker_test test_build_fitting_configuration[inp1-expected1-False]
< 1 sec
ValueError: Unsupported fitting function type: <class 'list'>
inp = {17: 'cspline', 19: 'cspline', 23: 'cspline'}, expected = {}
should_raise = False

    @pytest.mark.parametrize(
        "inp, expected, should_raise",
        [
            # valid inputs
(99 more lines...)
Collapse Failed worker_test test_build_fitting_configuration[inp2-spline-False]
< 1 sec
ValueError: Unsupported fitting function type: <class 'list'>
inp = {17: 'cspline', 19: 'cspline', 23: 'cspline'}, expected = 'spline'
should_raise = False

    @pytest.mark.parametrize(
        "inp, expected, should_raise",
        [
            # valid inputs
(99 more lines...)
Collapse Failed worker_test test_build_fitting_configuration[inp3-expected3-False]
< 1 sec
ValueError: Unsupported fitting function type: <class 'list'>
inp = {17: 'cspline', 19: 'cspline', 23: 'cspline'}, expected = {30: 'poly'}
should_raise = False

    @pytest.mark.parametrize(
        "inp, expected, should_raise",
        [
            # valid inputs
(99 more lines...)
Collapse Failed worker_test test_build_fitting_configuration[inp4-poly-False]
< 1 sec
ValueError: Unsupported fitting function type: <class 'list'>
inp = {17: 'poly', 19: 'poly', 23: 'poly'}, expected = 'poly'
should_raise = False

    @pytest.mark.parametrize(
        "inp, expected, should_raise",
        [
            # valid inputs
(99 more lines...)
Collapse Failed worker_test test_build_fitting_configuration[inp5-expected5-False]
< 1 sec
ValueError: Unsupported fitting function type: <class 'list'>
inp = {17: 'cspline', 19: 'cspline', 23: 'poly'}, expected = {'23': 'poly'}
should_raise = False

    @pytest.mark.parametrize(
        "inp, expected, should_raise",
        [
            # valid inputs
(99 more lines...)
Collapse Failed worker_test test_build_fitting_configuration[inp6-expected6-False]
< 1 sec
ValueError: Unsupported fitting function type: <class 'list'>
inp = {17: 'poly', 19: 'cspline', 23: 'cspline'}
expected = {'17': 'poly', 19: 'spline'}, should_raise = False

    @pytest.mark.parametrize(
        "inp, expected, should_raise",
        [
            # valid inputs
(99 more lines...)
Collapse Failed worker_test test_build_fitting_configuration[inp7-expected7-False]
< 1 sec
ValueError: Unsupported fitting function type: <class 'list'>
inp = {17: 'poly', 19: 'cspline', 23: 'poly'}
expected = {17: 'poly', 19: 'spline', 23: 'poly'}, should_raise = False

    @pytest.mark.parametrize(
        "inp, expected, should_raise",
        [
            # valid inputs
(99 more lines...)