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"])