How to use test_is_float method in pandera

Best Python code snippet using pandera_python

test_combination.py

Source:test_combination.py

...14                          (average, 2, 3),15                          (perct_difference, 1, 2),16                          (perct_difference, 2, 3)17                         ])18def test_is_float(operation, n1, n2):19    assert isinstance(operation(n1, n2), float)20# pytest -v pytest_combination.py21# ========================================================================== test session starts ===========================================================================22# platform darwin -- Python 3.9.12, pytest-7.1.2, pluggy-1.0.0 -- /opt/anaconda3/envs/mathdatasimplified/bin/python23# cachedir: .pytest_cache24# benchmark: 3.4.1 (defaults: timer=time.perf_counter disable_gc=False min_rounds=5 min_time=0.000005 max_time=1.0 calibration_precision=10 warmup=False warmup_iterations=100000)25# rootdir: /Users/heidischmidt/PycharmProjects/mathdatasimplified26# plugins: benchmark-3.4.127# collected 4 items28#29# pytest_combination.py::test_is_float[average-1-2] PASSED                                                                                                           [ 25%]30# pytest_combination.py::test_is_float[average-2-3] PASSED                                                                                                           [ 50%]31# pytest_combination.py::test_is_float[perct_difference-1-2] PASSED                                                                                                  [ 75%]32# pytest_combination.py::test_is_float[perct_difference-2-3] PASSED                                                                                                  [100%]...

test_combination2.py

Source:test_combination2.py

...6    return (n2 - n1)/n1 * 1007# Test the combinations of operations and inputs8@pytest.mark.parametrize("operation", [average, perc_difference])9@pytest.mark.parametrize("n1, n2", [(1, 2), (2, 3)])10def test_is_float(operation, n1, n2):11    assert isinstance(operation(n1, n2), float)12#  pytest -v pytest_combination2.py13# ========================================================================== test session starts ===========================================================================14# platform darwin -- Python 3.9.12, pytest-7.1.2, pluggy-1.0.0 -- /opt/anaconda3/envs/mathdatasimplified/bin/python15# cachedir: .pytest_cache16# benchmark: 3.4.1 (defaults: timer=time.perf_counter disable_gc=False min_rounds=5 min_time=0.000005 max_time=1.0 calibration_precision=10 warmup=False warmup_iterations=100000)17# rootdir: /Users/heidischmidt/PycharmProjects/mathdatasimplified18# plugins: benchmark-3.4.119# collected 4 items20#21# pytest_combination2.py::test_is_float[1-2-average] PASSED                                                                                                          [ 25%]22# pytest_combination2.py::test_is_float[1-2-perc_difference] PASSED                                                                                                  [ 50%]23# pytest_combination2.py::test_is_float[2-3-average] PASSED                                                                                                          [ 75%]24# pytest_combination2.py::test_is_float[2-3-perc_difference] PASSED                                                                                                  [100%]...

test_without_ids.py

Source:test_without_ids.py

...5@mark.parametrize(6    "n1, n2",7    [(-1, -2), (2, 3), (0, 0)],8)9def test_is_float(n1, n2):10    assert isinstance(average(n1, n2), float)11# pytest -v pytest_without_ids.py12# zsh: /usr/local/bin/pytest: bad interpreter: /usr/bin/python: no such file or directory13# ========================================================================== test session starts ===========================================================================14# platform darwin -- Python 3.9.12, pytest-7.1.2, pluggy-1.0.0 -- /opt/anaconda3/envs/mathdatasimplified/bin/python15# cachedir: .pytest_cache16# benchmark: 3.4.1 (defaults: timer=time.perf_counter disable_gc=False min_rounds=5 min_time=0.000005 max_time=1.0 calibration_precision=10 warmup=False warmup_iterations=100000)17# rootdir: /Users/heidischmidt/PycharmProjects/mathdatasimplified18# plugins: benchmark-3.4.119# collected 3 items20#21# pytest_without_ids.py::test_is_float[-1--2] PASSED                                                                                                                 [ 33%]22# pytest_without_ids.py::test_is_float[2-3] PASSED                                                                                                                   [ 66%]23# pytest_without_ids.py::test_is_float[0-0] PASSED                                                                                                                   [100%]...

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