def test_calculate_avg_delta_values3(): expected = {'PET' : {'January': 1.25, 'February': 2.75, 'March': 3.25, 'April': 4.75, 'May': 5.25, 'June': 6.75, 'July': 7.25, 'August': 8.75, 'September': 9.25, 'October': 10.75, 'November': 11.25, 'December': 12.75}} actual = deltas.calculate_avg_delta_values(deltas_data = fixture["sample_data_bad"], tile_list = ["11", "12"]) nose.tools.assert_equals(np.array(expected["PET"]["January"]).all(), np.array(actual["PET"]["January"]).all()) nose.tools.assert_equals(np.array(expected["PET"]["February"]).all(), np.array(actual["PET"]["February"]).all()) nose.tools.assert_equals(np.array(expected["PET"]["April"]).all(), np.array(actual["PET"]["April"]).all()) nose.tools.assert_equals(np.array(expected["PET"]["May"]).all(), np.array(actual["PET"]["May"]).all()) nose.tools.assert_equals(np.array(expected["PET"]["June"]).all(), np.array(actual["PET"]["June"]).all()) nose.tools.assert_equals(np.array(expected["PET"]["July"]).all(), np.array(actual["PET"]["July"]).all()) nose.tools.assert_equals(np.array(expected["PET"]["August"]).all(), np.array(actual["PET"]["August"]).all()) nose.tools.assert_equals(np.array(expected["PET"]["September"]).all(), np.array(actual["PET"]["September"]).all()) nose.tools.assert_equals(np.array(expected["PET"]["October"]).all(), np.array(actual["PET"]["October"]).all()) nose.tools.assert_equals(np.array(expected["PET"]["November"]).all(), np.array(actual["PET"]["November"]).all()) nose.tools.assert_equals(np.array(expected["PET"]["December"]).all(), np.array(actual["PET"]["December"]).all())
def test_calculate_avg_delta_values3(): expected = { 'PET': { 'January': 1.25, 'February': 2.75, 'March': 3.25, 'April': 4.75, 'May': 5.25, 'June': 6.75, 'July': 7.25, 'August': 8.75, 'September': 9.25, 'October': 10.75, 'November': 11.25, 'December': 12.75 } } actual = deltas.calculate_avg_delta_values( deltas_data=fixture["sample_data_bad"], tile_list=["11", "12"]) nose.tools.assert_equals( np.array(expected["PET"]["January"]).all(), np.array(actual["PET"]["January"]).all()) nose.tools.assert_equals( np.array(expected["PET"]["February"]).all(), np.array(actual["PET"]["February"]).all()) nose.tools.assert_equals( np.array(expected["PET"]["April"]).all(), np.array(actual["PET"]["April"]).all()) nose.tools.assert_equals( np.array(expected["PET"]["May"]).all(), np.array(actual["PET"]["May"]).all()) nose.tools.assert_equals( np.array(expected["PET"]["June"]).all(), np.array(actual["PET"]["June"]).all()) nose.tools.assert_equals( np.array(expected["PET"]["July"]).all(), np.array(actual["PET"]["July"]).all()) nose.tools.assert_equals( np.array(expected["PET"]["August"]).all(), np.array(actual["PET"]["August"]).all()) nose.tools.assert_equals( np.array(expected["PET"]["September"]).all(), np.array(actual["PET"]["September"]).all()) nose.tools.assert_equals( np.array(expected["PET"]["October"]).all(), np.array(actual["PET"]["October"]).all()) nose.tools.assert_equals( np.array(expected["PET"]["November"]).all(), np.array(actual["PET"]["November"]).all()) nose.tools.assert_equals( np.array(expected["PET"]["December"]).all(), np.array(actual["PET"]["December"]).all())
def test_calculate_avg_delta_values2(): expected = {'PET' : {'January': 1.3666666666666667, 'February': 2.6, 'March': 3.3666666666666667, 'April': 4.6, 'May': 5.3666666666666667, 'June': 6.6, 'July': 7.3666666666666667, 'August': 8.6, 'September': 9.3666666666666667, 'October': 10.6, 'November': 11.3666666666666667, 'December': 12.6}} actual = deltas.calculate_avg_delta_values(deltas_data = fixture["sample_data"], tile_list = ["11", "12", "32"]) nose.tools.assert_almost_equals(expected["PET"]["January"], actual["PET"]["January"]) nose.tools.assert_almost_equals(expected["PET"]["February"], actual["PET"]["February"]) nose.tools.assert_almost_equals(expected["PET"]["April"], actual["PET"]["April"]) nose.tools.assert_almost_equals(expected["PET"]["May"], actual["PET"]["May"]) nose.tools.assert_almost_equals(expected["PET"]["June"], actual["PET"]["June"]) nose.tools.assert_almost_equals(expected["PET"]["July"], actual["PET"]["July"]) nose.tools.assert_almost_equals(expected["PET"]["August"], actual["PET"]["August"]) nose.tools.assert_almost_equals(expected["PET"]["September"], actual["PET"]["September"]) nose.tools.assert_almost_equals(expected["PET"]["October"], actual["PET"]["October"]) nose.tools.assert_almost_equals(expected["PET"]["November"], actual["PET"]["November"]) nose.tools.assert_almost_equals(expected["PET"]["December"], actual["PET"]["December"])
def test_calculate_avg_delta_values2(): expected = { 'PET': { 'January': 1.3666666666666667, 'February': 2.6, 'March': 3.3666666666666667, 'April': 4.6, 'May': 5.3666666666666667, 'June': 6.6, 'July': 7.3666666666666667, 'August': 8.6, 'September': 9.3666666666666667, 'October': 10.6, 'November': 11.3666666666666667, 'December': 12.6 } } actual = deltas.calculate_avg_delta_values( deltas_data=fixture["sample_data"], tile_list=["11", "12", "32"]) nose.tools.assert_almost_equals(expected["PET"]["January"], actual["PET"]["January"]) nose.tools.assert_almost_equals(expected["PET"]["February"], actual["PET"]["February"]) nose.tools.assert_almost_equals(expected["PET"]["April"], actual["PET"]["April"]) nose.tools.assert_almost_equals(expected["PET"]["May"], actual["PET"]["May"]) nose.tools.assert_almost_equals(expected["PET"]["June"], actual["PET"]["June"]) nose.tools.assert_almost_equals(expected["PET"]["July"], actual["PET"]["July"]) nose.tools.assert_almost_equals(expected["PET"]["August"], actual["PET"]["August"]) nose.tools.assert_almost_equals(expected["PET"]["September"], actual["PET"]["September"]) nose.tools.assert_almost_equals(expected["PET"]["October"], actual["PET"]["October"]) nose.tools.assert_almost_equals(expected["PET"]["November"], actual["PET"]["November"]) nose.tools.assert_almost_equals(expected["PET"]["December"], actual["PET"]["December"])