Exemplos de read_claret_data em Python

Exemplo n.º 1

Arquivo: test_microllimb_darkening.py Projeto: ebachelet/pyLIMA

def test_read_row_object():
    data = list(microllimb_darkening.read_claret_data(DATA, camera_filter='all'))

    first_row_object = data[0]

    assert first_row_object.log_g == 0.0
    assert first_row_object.Teff == 3500.0
    assert first_row_object.metallicity == -5.0
    assert first_row_object.microturbulent_velocity == 2.0
    assert first_row_object.linear_limb_darkening == 0.6278
    assert first_row_object.filter == 'Kp'
    assert first_row_object.method == 'L'
    assert first_row_object.model == 'ATLAS'

Exemplo n.º 2

def test_read_row_object():
    data = list(
        microllimb_darkening.read_claret_data(DATA, camera_filter='all'))

    first_row_object = data[0]

    assert first_row_object.log_g == 0.0
    assert first_row_object.Teff == 3500.0
    assert first_row_object.metallicity == -5.0
    assert first_row_object.microturbulent_velocity == 2.0
    assert first_row_object.linear_limb_darkening == 0.6278
    assert first_row_object.filter == 'Kp'
    assert first_row_object.method == 'L'
    assert first_row_object.model == 'ATLAS'

Exemplo n.º 3

Arquivo: test_microllimb_darkening.py Projeto: ebachelet/pyLIMA

def test_filter_by_filter():
    data = list(microllimb_darkening.read_claret_data(DATA, camera_filter="z'"))

    assert len(data) == 10
    assert data[0].filter == "z'"

Exemplo n.º 4

Arquivo: test_microllimb_darkening.py Projeto: ebachelet/pyLIMA

def test_reading_file():
    data = list(microllimb_darkening.read_claret_data(DATA, camera_filter='all'))

    assert len(data) == 20

Exemplo n.º 5

def test_filter_by_filter():
    data = list(microllimb_darkening.read_claret_data(DATA,
                                                      camera_filter="z'"))

    assert len(data) == 10
    assert data[0].filter == "z'"

Exemplo n.º 6

def test_reading_file():
    data = list(
        microllimb_darkening.read_claret_data(DATA, camera_filter='all'))

    assert len(data) == 20