def test_apply_factors():
expected = {"q_dates": [np.array([datetime.datetime(2014, 1, 1, 0, 0), datetime.datetime(2014, 1, 2, 0, 0)])],
"p_dates": [np.array([datetime.datetime(2014, 1, 1, 0, 0), datetime.datetime(2014, 1, 2, 0, 0)])],
"t_dates": [np.array([datetime.datetime(2014, 1, 1, 0, 0), datetime.datetime(2014, 1, 2, 0, 0)])],
"q_values": [np.array([200.0, 220.0])],
"p_values": [np.array([6, 9.])],
"t_values": [np.array([13.1, 14.2])],
"q_units": ["mm per day"],
"p_units": ["mm"],
"t_units": ["Celsius"]
}
simulation = waterxml.create_simulation_dict()
simulation = waterxml.fill_simulation_dict(waterxml_tree = fixture["xml_tree1"], simulation_dict = simulation)
q_dates, q_values, q_units = waterxml.get_timeseries_data(simulation_dict = simulation, timeseries_key = "StudyUnitDischargeSeries")
p_dates, p_values, p_units = waterxml.get_timeseries_data(simulation_dict = simulation, timeseries_key = "ClimaticPrecipitationSeries")
t_dates, t_values, t_units = waterxml.get_timeseries_data(simulation_dict = simulation, timeseries_key = "ClimaticTemperatureSeries")
waterxml.apply_factors(waterxml_tree = fixture["xml_tree1"], element = "StudyUnitDischargeSeries", factors = fixture["factors"])
waterxml.apply_factors(waterxml_tree = fixture["xml_tree1"], element = "ClimaticPrecipitationSeries", factors = fixture["factors"])
waterxml.apply_factors(waterxml_tree = fixture["xml_tree1"], element = "ClimaticTemperatureSeries", factors = fixture["factors"])
simulation_updated = waterxml.create_simulation_dict()
simulation_updated = waterxml.fill_simulation_dict(waterxml_tree = fixture["xml_tree1"], simulation_dict = simulation_updated)
actual = {}
actual["q_dates"], actual["q_values"], actual["q_units"] = waterxml.get_timeseries_data(simulation_dict = simulation_updated, timeseries_key = "StudyUnitDischargeSeries")
actual["p_dates"], actual["p_values"], actual["p_units"] = waterxml.get_timeseries_data(simulation_dict = simulation_updated, timeseries_key = "ClimaticPrecipitationSeries")
actual["t_dates"], actual["t_values"], actual["t_units"] = waterxml.get_timeseries_data(simulation_dict = simulation_updated, timeseries_key = "ClimaticTemperatureSeries")
nose.tools.assert_equals(len(expected["q_dates"]), len(actual["q_dates"]))
nose.tools.assert_equals(len(expected["p_dates"]), len(actual["p_dates"]))
nose.tools.assert_equals(len(expected["t_dates"]), len(actual["t_dates"]))
np.testing.assert_equal(actual["q_dates"][0], expected["q_dates"][0])
np.testing.assert_equal(actual["p_dates"][0], expected["p_dates"][0])
np.testing.assert_equal(actual["t_dates"][0], expected["t_dates"][0])
np.testing.assert_equal(actual["q_values"][0], expected["q_values"][0])
np.testing.assert_equal(actual["p_values"][0], expected["p_values"][0])
np.testing.assert_equal(actual["t_values"][0], expected["t_values"][0])
np.testing.assert_equal(actual["q_units"][0], expected["q_units"][0])
np.testing.assert_equal(actual["p_units"][0], expected["p_units"][0])
np.testing.assert_equal(actual["t_units"][0], expected["t_units"][0])
def test_get_topographic_wetness_index_data_file1():
expected = {
"bin_ids": [np.array([1., 2.])],
"bin_value_means": [np.array([3.1, 4.2])],
"bin_value_fractions": [np.array([0.002, 0.005])]
}
simulation = waterxml.create_simulation_dict()
simulation = waterxml.fill_simulation_dict(
waterxml_tree=fixture["xml_tree1"], simulation_dict=simulation)
actual = {}
actual["bin_ids"], actual["bin_value_means"], actual[
"bin_value_fractions"] = waterxml.get_topographic_wetness_index_data(
simulation_dict=simulation)
nose.tools.assert_equals(len(actual["bin_ids"]), len(expected["bin_ids"]))
nose.tools.assert_equals(len(actual["bin_value_means"]),
len(expected["bin_value_means"]))
nose.tools.assert_equals(len(actual["bin_value_fractions"]),
len(expected["bin_value_fractions"]))
np.testing.assert_equal(actual["bin_ids"][0], expected["bin_ids"][0])
np.testing.assert_equal(actual["bin_value_means"][0],
expected["bin_value_means"][0])
np.testing.assert_equal(actual["bin_value_fractions"][0],
expected["bin_value_fractions"][0])
def test_fill_simulation_dict():
expected = {"SimulID": ["1"], "StudyID": ["1"], "RegionType": ["4"],
"SimulationFeatures": [[{"SimulID": "1", "AttCode": "1", "AttMinVal": "90.0", "AttName": "Study Unit Total Area", "AttUnits": "(sq Km)", "AttDescription": " Study unit total area", "AttUnitsCode": "303", "AttMaxVal": "110.0", "AttID": "1", "AttstdDev": "0", "AttMeanVal": "100.0"},
{"SimulID": "1", "AttCode": "37", "AttMinVal": "4", "AttName": "Total Estimated Stream Area", "AttUnits": "(sq Km)", "AttDescription": "Estimated area of stream coverage", "AttUnitsCode": "303", "AttMaxVal": "6", "AttID": "2", "AttstdDev": "0", "AttMeanVal": "5"}]],
"SimulationTopographicWetnessIndex": [[{"BinID": "1", "SimulID": "1", "BinValueMean": "3.1", "BinValueFraction": "0.002"},
{"BinID": "2", "SimulID": "1", "BinValueMean": "4.2", "BinValueFraction": "0.005"}]],
"StudyUnitDischargeSeries": [[{"SeriesID": "1", "SeriesDate": "2014-01-01T00:00:00-05:00", "SeriesUnitsCode": "54", "SimulID": "1", "SeriesValue": "100.0", "SeriesUnit": "mm per day"},
{"SeriesID": "2", "SeriesDate": "2014-01-02T00:00:00-05:00", "SeriesUnitsCode": "54", "SimulID": "1", "SeriesValue": "110.0", "SeriesUnit": "mm per day"}]],
"ClimaticPrecipitationSeries": [[{"SeriesID": "1", "SeriesDate": "2014-01-01T00:00:00-05:00", "SeriesUnitsCode": "4", "SimulID": "1", "SeriesValue": "3.0", "SeriesUnit": "mm"},
{"SeriesID": "2", "SeriesDate": "2014-01-02T00:00:00-05:00", "SeriesUnitsCode": "4", "SimulID": "1", "SeriesValue": "4.5", "SeriesUnit": "mm"}]],
"ClimaticTemperatureSeries": [[{"SeriesID": "1", "SeriesDate": "2014-01-01T00:00:00-05:00", "SeriesUnitsCode": "31", "SimulID": "1", "SeriesValue": "11.1", "SeriesUnit": "Celsius"},
{"SeriesID": "2", "SeriesDate": "2014-01-02T00:00:00-05:00", "SeriesUnitsCode": "31", "SimulID": "1", "SeriesValue": "12.2", "SeriesUnit": "Celsius"}]]
}
simulation = waterxml.create_simulation_dict()
actual = waterxml.fill_simulation_dict(waterxml_tree = fixture["xml_tree1"], simulation_dict = simulation)
nose.tools.assert_equals(actual["SimulID"], expected["SimulID"])
nose.tools.assert_equals(actual["StudyID"], expected["StudyID"])
nose.tools.assert_equals(actual["RegionType"], expected["RegionType"])
nose.tools.assert_equals(actual["SimulationFeatures"], expected["SimulationFeatures"])
nose.tools.assert_equals(actual["SimulationTopographicWetnessIndex"], expected["SimulationTopographicWetnessIndex"])
nose.tools.assert_equals(actual["StudyUnitDischargeSeries"], expected["StudyUnitDischargeSeries"])
nose.tools.assert_equals(actual["ClimaticPrecipitationSeries"], expected["ClimaticPrecipitationSeries"])
nose.tools.assert_equals(actual["ClimaticTemperatureSeries"], expected["ClimaticTemperatureSeries"])
def test_get_study_unit_areas():
expected = {"area_means": [np.array([100.])],
}
simulation = waterxml.create_simulation_dict()
simulation = waterxml.fill_simulation_dict(waterxml_tree = fixture["xml_tree1"], simulation_dict = simulation)
actual = {}
actual["area_means"] = waterxml.get_study_unit_areas(simulation_dict = simulation)
np.testing.assert_equal(actual["area_means"][0], expected["area_means"][0])
def test_get_timeseries_data_file2():
expected = {"q_dates": [np.array([datetime.datetime(2014, 1, 1, 0, 0), datetime.datetime(2014, 1, 2, 0, 0)]), np.array([datetime.datetime(2014, 1, 1, 0, 0), datetime.datetime(2014, 1, 2, 0, 0)])],
"p_dates": [np.array([datetime.datetime(2014, 1, 1, 0, 0), datetime.datetime(2014, 1, 2, 0, 0)]), np.array([datetime.datetime(2014, 1, 1, 0, 0), datetime.datetime(2014, 1, 2, 0, 0)])],
"t_dates": [np.array([datetime.datetime(2014, 1, 1, 0, 0), datetime.datetime(2014, 1, 2, 0, 0)]), np.array([datetime.datetime(2014, 1, 1, 0, 0), datetime.datetime(2014, 1, 2, 0, 0)])],
"q_values": [np.array([100.0, 110.0]), np.array([100.0, 110.0])],
"p_values": [np.array([3, 4.5]), np.array([3, 4.5])],
"t_values": [np.array([11.1, 12.2]), np.array([11.1, 12.2])],
"q_units": ["mm per day", "mm per day"],
"p_units": ["mm", "mm"],
"t_units": ["Celsius", "Celsius"]
}
simulation = waterxml.create_simulation_dict()
simulation = waterxml.fill_simulation_dict(waterxml_tree = fixture["xml_tree2"], simulation_dict = simulation)
actual = {}
actual["q_dates"], actual["q_values"], actual["q_units"] = waterxml.get_timeseries_data(simulation_dict = simulation, timeseries_key = "StudyUnitDischargeSeries")
actual["p_dates"], actual["p_values"], actual["p_units"] = waterxml.get_timeseries_data(simulation_dict = simulation, timeseries_key = "ClimaticPrecipitationSeries")
actual["t_dates"], actual["t_values"], actual["t_units"] = waterxml.get_timeseries_data(simulation_dict = simulation, timeseries_key = "ClimaticTemperatureSeries")
nose.tools.assert_equals(len(expected["q_dates"]), len(actual["q_dates"]))
nose.tools.assert_equals(len(expected["p_dates"]), len(actual["p_dates"]))
nose.tools.assert_equals(len(expected["t_dates"]), len(actual["t_dates"]))
np.testing.assert_equal(actual["q_dates"][0], expected["q_dates"][0])
np.testing.assert_equal(actual["p_dates"][0], expected["p_dates"][0])
np.testing.assert_equal(actual["t_dates"][0], expected["t_dates"][0])
np.testing.assert_equal(actual["q_values"][0], expected["q_values"][0])
np.testing.assert_equal(actual["p_values"][0], expected["p_values"][0])
np.testing.assert_equal(actual["t_values"][0], expected["t_values"][0])
np.testing.assert_equal(actual["q_units"][0], expected["q_units"][0])
np.testing.assert_equal(actual["p_units"][0], expected["p_units"][0])
np.testing.assert_equal(actual["t_units"][0], expected["t_units"][0])
np.testing.assert_equal(actual["q_dates"][1], expected["q_dates"][1])
np.testing.assert_equal(actual["p_dates"][1], expected["p_dates"][1])
np.testing.assert_equal(actual["t_dates"][1], expected["t_dates"][1])
np.testing.assert_equal(actual["q_values"][1], expected["q_values"][1])
np.testing.assert_equal(actual["p_values"][1], expected["p_values"][1])
np.testing.assert_equal(actual["t_values"][1], expected["t_values"][1])
np.testing.assert_equal(actual["q_units"][1], expected["q_units"][1])
np.testing.assert_equal(actual["p_units"][1], expected["p_units"][1])
np.testing.assert_equal(actual["t_units"][1], expected["t_units"][1])
def test_get_study_unit_areas():
expected = {
"area_means": [np.array([100.])],
}
simulation = waterxml.create_simulation_dict()
simulation = waterxml.fill_simulation_dict(
waterxml_tree=fixture["xml_tree1"], simulation_dict=simulation)
actual = {}
actual["area_means"] = waterxml.get_study_unit_areas(
simulation_dict=simulation)
np.testing.assert_equal(actual["area_means"][0], expected["area_means"][0])
def test_get_topographic_wetness_index_data_file1():
expected = {"bin_ids": [np.array([1., 2.])],
"bin_value_means": [np.array([3.1, 4.2])],
"bin_value_fractions": [np.array([0.002, 0.005])]}
simulation = waterxml.create_simulation_dict()
simulation = waterxml.fill_simulation_dict(waterxml_tree = fixture["xml_tree1"], simulation_dict = simulation)
actual = {}
actual["bin_ids"], actual["bin_value_means"], actual["bin_value_fractions"] = waterxml.get_topographic_wetness_index_data(simulation_dict = simulation)
nose.tools.assert_equals(len(actual["bin_ids"]), len(expected["bin_ids"]))
nose.tools.assert_equals(len(actual["bin_value_means"]), len(expected["bin_value_means"]))
nose.tools.assert_equals(len(actual["bin_value_fractions"]), len(expected["bin_value_fractions"]))
np.testing.assert_equal(actual["bin_ids"][0], expected["bin_ids"][0])
np.testing.assert_equal(actual["bin_value_means"][0], expected["bin_value_means"][0])
np.testing.assert_equal(actual["bin_value_fractions"][0], expected["bin_value_fractions"][0])
def test_apply_factors():
expected = {
"q_dates": [
np.array([
datetime.datetime(2014, 1, 1, 0, 0),
datetime.datetime(2014, 1, 2, 0, 0)
])
],
"p_dates": [
np.array([
datetime.datetime(2014, 1, 1, 0, 0),
datetime.datetime(2014, 1, 2, 0, 0)
])
],
"t_dates": [
np.array([
datetime.datetime(2014, 1, 1, 0, 0),
datetime.datetime(2014, 1, 2, 0, 0)
])
],
"q_values": [np.array([200.0, 220.0])],
"p_values": [np.array([6, 9.])],
"t_values": [np.array([13.1, 14.2])],
"q_units": ["mm per day"],
"p_units": ["mm"],
"t_units": ["Celsius"]
}
simulation = waterxml.create_simulation_dict()
simulation = waterxml.fill_simulation_dict(
waterxml_tree=fixture["xml_tree1"], simulation_dict=simulation)
q_dates, q_values, q_units = waterxml.get_timeseries_data(
simulation_dict=simulation, timeseries_key="StudyUnitDischargeSeries")
p_dates, p_values, p_units = waterxml.get_timeseries_data(
simulation_dict=simulation,
timeseries_key="ClimaticPrecipitationSeries")
t_dates, t_values, t_units = waterxml.get_timeseries_data(
simulation_dict=simulation, timeseries_key="ClimaticTemperatureSeries")
waterxml.apply_factors(waterxml_tree=fixture["xml_tree1"],
element="StudyUnitDischargeSeries",
factors=fixture["factors"])
waterxml.apply_factors(waterxml_tree=fixture["xml_tree1"],
element="ClimaticPrecipitationSeries",
factors=fixture["factors"])
waterxml.apply_factors(waterxml_tree=fixture["xml_tree1"],
element="ClimaticTemperatureSeries",
factors=fixture["factors"])
simulation_updated = waterxml.create_simulation_dict()
simulation_updated = waterxml.fill_simulation_dict(
waterxml_tree=fixture["xml_tree1"], simulation_dict=simulation_updated)
actual = {}
actual["q_dates"], actual["q_values"], actual[
"q_units"] = waterxml.get_timeseries_data(
simulation_dict=simulation_updated,
timeseries_key="StudyUnitDischargeSeries")
actual["p_dates"], actual["p_values"], actual[
"p_units"] = waterxml.get_timeseries_data(
simulation_dict=simulation_updated,
timeseries_key="ClimaticPrecipitationSeries")
actual["t_dates"], actual["t_values"], actual[
"t_units"] = waterxml.get_timeseries_data(
simulation_dict=simulation_updated,
timeseries_key="ClimaticTemperatureSeries")
nose.tools.assert_equals(len(expected["q_dates"]), len(actual["q_dates"]))
nose.tools.assert_equals(len(expected["p_dates"]), len(actual["p_dates"]))
nose.tools.assert_equals(len(expected["t_dates"]), len(actual["t_dates"]))
np.testing.assert_equal(actual["q_dates"][0], expected["q_dates"][0])
np.testing.assert_equal(actual["p_dates"][0], expected["p_dates"][0])
np.testing.assert_equal(actual["t_dates"][0], expected["t_dates"][0])
np.testing.assert_equal(actual["q_values"][0], expected["q_values"][0])
np.testing.assert_equal(actual["p_values"][0], expected["p_values"][0])
np.testing.assert_equal(actual["t_values"][0], expected["t_values"][0])
np.testing.assert_equal(actual["q_units"][0], expected["q_units"][0])
np.testing.assert_equal(actual["p_units"][0], expected["p_units"][0])
np.testing.assert_equal(actual["t_units"][0], expected["t_units"][0])
def test_get_timeseries_data_file2():
expected = {
"q_dates": [
np.array([
datetime.datetime(2014, 1, 1, 0, 0),
datetime.datetime(2014, 1, 2, 0, 0)
]),
np.array([
datetime.datetime(2014, 1, 1, 0, 0),
datetime.datetime(2014, 1, 2, 0, 0)
])
],
"p_dates": [
np.array([
datetime.datetime(2014, 1, 1, 0, 0),
datetime.datetime(2014, 1, 2, 0, 0)
]),
np.array([
datetime.datetime(2014, 1, 1, 0, 0),
datetime.datetime(2014, 1, 2, 0, 0)
])
],
"t_dates": [
np.array([
datetime.datetime(2014, 1, 1, 0, 0),
datetime.datetime(2014, 1, 2, 0, 0)
]),
np.array([
datetime.datetime(2014, 1, 1, 0, 0),
datetime.datetime(2014, 1, 2, 0, 0)
])
],
"q_values": [np.array([100.0, 110.0]),
np.array([100.0, 110.0])],
"p_values": [np.array([3, 4.5]),
np.array([3, 4.5])],
"t_values": [np.array([11.1, 12.2]),
np.array([11.1, 12.2])],
"q_units": ["mm per day", "mm per day"],
"p_units": ["mm", "mm"],
"t_units": ["Celsius", "Celsius"]
}
simulation = waterxml.create_simulation_dict()
simulation = waterxml.fill_simulation_dict(
waterxml_tree=fixture["xml_tree2"], simulation_dict=simulation)
actual = {}
actual["q_dates"], actual["q_values"], actual[
"q_units"] = waterxml.get_timeseries_data(
simulation_dict=simulation,
timeseries_key="StudyUnitDischargeSeries")
actual["p_dates"], actual["p_values"], actual[
"p_units"] = waterxml.get_timeseries_data(
simulation_dict=simulation,
timeseries_key="ClimaticPrecipitationSeries")
actual["t_dates"], actual["t_values"], actual[
"t_units"] = waterxml.get_timeseries_data(
simulation_dict=simulation,
timeseries_key="ClimaticTemperatureSeries")
nose.tools.assert_equals(len(expected["q_dates"]), len(actual["q_dates"]))
nose.tools.assert_equals(len(expected["p_dates"]), len(actual["p_dates"]))
nose.tools.assert_equals(len(expected["t_dates"]), len(actual["t_dates"]))
np.testing.assert_equal(actual["q_dates"][0], expected["q_dates"][0])
np.testing.assert_equal(actual["p_dates"][0], expected["p_dates"][0])
np.testing.assert_equal(actual["t_dates"][0], expected["t_dates"][0])
np.testing.assert_equal(actual["q_values"][0], expected["q_values"][0])
np.testing.assert_equal(actual["p_values"][0], expected["p_values"][0])
np.testing.assert_equal(actual["t_values"][0], expected["t_values"][0])
np.testing.assert_equal(actual["q_units"][0], expected["q_units"][0])
np.testing.assert_equal(actual["p_units"][0], expected["p_units"][0])
np.testing.assert_equal(actual["t_units"][0], expected["t_units"][0])
np.testing.assert_equal(actual["q_dates"][1], expected["q_dates"][1])
np.testing.assert_equal(actual["p_dates"][1], expected["p_dates"][1])
np.testing.assert_equal(actual["t_dates"][1], expected["t_dates"][1])
np.testing.assert_equal(actual["q_values"][1], expected["q_values"][1])
np.testing.assert_equal(actual["p_values"][1], expected["p_values"][1])
np.testing.assert_equal(actual["t_values"][1], expected["t_values"][1])
np.testing.assert_equal(actual["q_units"][1], expected["q_units"][1])
np.testing.assert_equal(actual["p_units"][1], expected["p_units"][1])
np.testing.assert_equal(actual["t_units"][1], expected["t_units"][1])
def test_fill_simulation_dict():
expected = {
"SimulID": ["1"],
"StudyID": ["1"],
"RegionType": ["4"],
"SimulationFeatures": [[{
"SimulID": "1",
"AttCode": "1",
"AttMinVal": "90.0",
"AttName": "Study Unit Total Area",
"AttUnits": "(sq Km)",
"AttDescription": " Study unit total area",
"AttUnitsCode": "303",
"AttMaxVal": "110.0",
"AttID": "1",
"AttstdDev": "0",
"AttMeanVal": "100.0"
}, {
"SimulID": "1",
"AttCode": "37",
"AttMinVal": "4",
"AttName": "Total Estimated Stream Area",
"AttUnits": "(sq Km)",
"AttDescription": "Estimated area of stream coverage",
"AttUnitsCode": "303",
"AttMaxVal": "6",
"AttID": "2",
"AttstdDev": "0",
"AttMeanVal": "5"
}]],
"SimulationTopographicWetnessIndex": [[{
"BinID": "1",
"SimulID": "1",
"BinValueMean": "3.1",
"BinValueFraction": "0.002"
}, {
"BinID": "2",
"SimulID": "1",
"BinValueMean": "4.2",
"BinValueFraction": "0.005"
}]],
"StudyUnitDischargeSeries": [[{
"SeriesID": "1",
"SeriesDate": "2014-01-01T00:00:00-05:00",
"SeriesUnitsCode": "54",
"SimulID": "1",
"SeriesValue": "100.0",
"SeriesUnit": "mm per day"
}, {
"SeriesID": "2",
"SeriesDate": "2014-01-02T00:00:00-05:00",
"SeriesUnitsCode": "54",
"SimulID": "1",
"SeriesValue": "110.0",
"SeriesUnit": "mm per day"
}]],
"ClimaticPrecipitationSeries": [[{
"SeriesID": "1",
"SeriesDate": "2014-01-01T00:00:00-05:00",
"SeriesUnitsCode": "4",
"SimulID": "1",
"SeriesValue": "3.0",
"SeriesUnit": "mm"
}, {
"SeriesID": "2",
"SeriesDate": "2014-01-02T00:00:00-05:00",
"SeriesUnitsCode": "4",
"SimulID": "1",
"SeriesValue": "4.5",
"SeriesUnit": "mm"
}]],
"ClimaticTemperatureSeries": [[{
"SeriesID": "1",
"SeriesDate": "2014-01-01T00:00:00-05:00",
"SeriesUnitsCode": "31",
"SimulID": "1",
"SeriesValue": "11.1",
"SeriesUnit": "Celsius"
}, {
"SeriesID": "2",
"SeriesDate": "2014-01-02T00:00:00-05:00",
"SeriesUnitsCode": "31",
"SimulID": "1",
"SeriesValue": "12.2",
"SeriesUnit": "Celsius"
}]]
}
simulation = waterxml.create_simulation_dict()
actual = waterxml.fill_simulation_dict(waterxml_tree=fixture["xml_tree1"],
simulation_dict=simulation)
nose.tools.assert_equals(actual["SimulID"], expected["SimulID"])
nose.tools.assert_equals(actual["StudyID"], expected["StudyID"])
nose.tools.assert_equals(actual["RegionType"], expected["RegionType"])
nose.tools.assert_equals(actual["SimulationFeatures"],
expected["SimulationFeatures"])
nose.tools.assert_equals(actual["SimulationTopographicWetnessIndex"],
expected["SimulationTopographicWetnessIndex"])
nose.tools.assert_equals(actual["StudyUnitDischargeSeries"],
expected["StudyUnitDischargeSeries"])
nose.tools.assert_equals(actual["ClimaticPrecipitationSeries"],
expected["ClimaticPrecipitationSeries"])
nose.tools.assert_equals(actual["ClimaticTemperatureSeries"],
expected["ClimaticTemperatureSeries"])
