def test_append_different_append(self):
"""Append DiscRates with same and new values. The rates with repeated
years are overwritten."""
disc_rate = DiscRates()
disc_rate.tag.file_name = 'file1.txt'
disc_rate.tag.description = 'descr1'
disc_rate.years = np.array([2000, 2001, 2002])
disc_rate.rates = np.array([0.1, 0.2, 0.3])
disc_rate_add = DiscRates()
disc_rate_add.tag.file_name = 'file2.txt'
disc_rate_add.tag.description = 'descr2'
disc_rate_add.years = np.array([2000, 2001, 2003])
disc_rate_add.rates = np.array([0.11, 0.22, 0.33])
disc_rate.append(disc_rate_add)
disc_rate.check()
self.assertTrue(
np.array_equal(disc_rate.years, np.array([2000, 2001, 2002,
2003])))
self.assertTrue(
np.array_equal(disc_rate.rates, np.array([0.11, 0.22, 0.3, 0.33])))
self.assertTrue(
np.array_equal(disc_rate.tag.file_name, 'file1.txt + file2.txt'))
self.assertTrue(
np.array_equal(disc_rate.tag.description, 'descr1 + descr2'))
def read_excel(self, file_name, description=''):
"""Read csv or xls or xlsx file following climada's template.
Parameters:
file_name (str, optional): file name(s) or folder name
containing the files to read
description (str or list(str), optional): one description of the
data or a description of each data file
Raises:
ValueError
"""
self.exposures = Exposures(pd.read_excel(file_name))
self.exposures.tag = Tag()
self.exposures.tag.file_name = file_name
self.exposures.tag.description = description
self.disc_rates = DiscRates()
self.disc_rates.read_excel(file_name, description)
self.impact_funcs = ImpactFuncSet()
self.impact_funcs.read_excel(file_name, description)
self.measures = MeasureSet()
self.measures.read_excel(file_name, description)
def test_write_read_pass(self):
""" Read demo excel file."""
disc_rate = DiscRates()
disc_rate.years = np.arange(1950, 2150)
disc_rate.rates = np.ones(disc_rate.years.size)*0.03
file_name = os.path.join(os.path.join(CURR_DIR, 'data'), 'test_disc.xlsx')
disc_rate.write_excel(file_name)
disc_read = DiscRates()
disc_read.read_excel(file_name)
self.assertTrue(np.array_equal(disc_read.years, disc_rate.years))
self.assertTrue(np.array_equal(disc_read.rates, disc_rate.rates))
self.assertEqual(disc_read.tag.file_name, file_name)
self.assertEqual(disc_read.tag.description, '')
def test_write_read_pass(self):
"""Read demo excel file."""
disc_rate = DiscRates()
disc_rate.years = np.arange(1950, 2150)
disc_rate.rates = np.ones(disc_rate.years.size) * 0.03
file_name = CONFIG.disc_rates.test_data.dir().joinpath(
'test_disc.xlsx')
disc_rate.write_excel(file_name)
disc_read = DiscRates()
disc_read.read_excel(file_name)
self.assertTrue(np.array_equal(disc_read.years, disc_rate.years))
self.assertTrue(np.array_equal(disc_read.rates, disc_rate.rates))
self.assertEqual(disc_read.tag.file_name, str(file_name))
self.assertEqual(disc_read.tag.description, '')
def test_append_to_empty_same(self):
"""Append DiscRates to empty one."""
disc_rate = DiscRates()
disc_rate_add = DiscRates()
disc_rate_add.tag.file_name = 'file1.txt'
disc_rate_add.tag.description = 'descr1'
disc_rate_add.years = np.array([2000, 2001, 2002])
disc_rate_add.rates = np.array([0.1, 0.2, 0.3])
disc_rate.append(disc_rate_add)
disc_rate.check()
self.assertTrue(np.array_equal(disc_rate.years, disc_rate_add.years))
self.assertTrue(np.array_equal(disc_rate.rates, disc_rate_add.rates))
self.assertTrue(np.array_equal(disc_rate.tag.file_name, \
disc_rate_add.tag.file_name))
self.assertTrue(np.array_equal(disc_rate.tag.description, \
disc_rate_add.tag.description))
def test_net_present_value_wrong_pass(self):
"""Test net_present_value wrong time range."""
disc_rate = DiscRates()
disc_rate.tag.file_name = 'file1.txt'
disc_rate.tag.description = 'descr1'
disc_rate.years = np.arange(2000, 2050)
disc_rate.rates = np.arange(disc_rate.years.size)
val_years = np.ones(11)*6.512201157564418e9
with self.assertRaises(ValueError):
disc_rate.net_present_value(2050, 2060, val_years)
def test_select_wrong_pass(self):
"""Test select wrong time range."""
disc_rate = DiscRates()
disc_rate.tag.file_name = 'file1.txt'
disc_rate.tag.description = 'descr1'
disc_rate.years = np.arange(2000, 2050)
disc_rate.rates = np.arange(disc_rate.years.size)
year_range = np.arange(2050, 2060)
self.assertEqual(None, disc_rate.select(year_range))
def test_check_wrongRates_fail(self):
"""Wrong discount rates definition"""
disc_rate = DiscRates()
disc_rate.rates = np.array([3,4])
disc_rate.years = np.array([1])
with self.assertLogs('climada.util.checker', level='ERROR') as cm:
with self.assertRaises(ValueError):
disc_rate.check()
self.assertIn('Invalid DiscRates.rates size: 1 != 2.', cm.output[0])
def test_check_wrongRates_fail(self):
"""Wrong discount rates definition"""
disc_rate = DiscRates()
disc_rate.rates = np.array([3, 4])
disc_rate.years = np.array([1])
with self.assertRaises(ValueError) as cm:
disc_rate.check()
self.assertIn('Invalid DiscRates.rates size: 1 != 2.',
str(cm.exception))
def test_net_present_value_pass(self):
"""Test net_present_value right time range."""
disc_rate = DiscRates()
disc_rate.tag.file_name = 'file1.txt'
disc_rate.tag.description = 'descr1'
disc_rate.years = np.arange(2000, 2050)
disc_rate.rates = np.ones(disc_rate.years.size)*0.02
val_years = np.ones(23)*6.512201157564418e9
res = disc_rate.net_present_value(2018, 2040, val_years)
self.assertEqual(res, 1.215049630691397e+11)
def test_append_equal_same(self):
"""Append the same DiscRates. The inital DiscRates is obtained."""
disc_rate = DiscRates()
disc_rate.tag.file_name = 'file1.txt'
disc_rate.tag.description = 'descr1'
disc_rate.years = np.array([2000, 2001, 2002])
disc_rate.rates = np.array([0.1, 0.2, 0.3])
disc_rate_add = DiscRates()
disc_rate_add.tag.file_name = 'file1.txt'
disc_rate_add.tag.description = 'descr1'
disc_rate_add.years = np.array([2000, 2001, 2002])
disc_rate_add.rates = np.array([0.1, 0.2, 0.3])
disc_rate.append(disc_rate_add)
disc_rate.check()
self.assertTrue(np.array_equal(disc_rate.years, disc_rate_add.years))
self.assertTrue(np.array_equal(disc_rate.rates, disc_rate_add.rates))
self.assertTrue(np.array_equal(disc_rate.tag.file_name, disc_rate_add.tag.file_name))
self.assertEqual(disc_rate.tag.description, disc_rate_add.tag.description)
def test_select_pass(self):
"""Test select right time range."""
disc_rate = DiscRates()
disc_rate.tag.file_name = 'file1.txt'
disc_rate.tag.description = 'descr1'
disc_rate.years = np.arange(2000, 2050)
disc_rate.rates = np.arange(disc_rate.years.size)
year_range = np.arange(2010, 2020)
sel_disc = disc_rate.select(year_range)
self.assertTrue(np.array_equal(sel_disc.years, year_range))
self.assertTrue(np.array_equal(sel_disc.rates, disc_rate.rates[10:20]))
def test_template_file_pass(self):
""" Read demo excel file."""
disc_rate = DiscRates()
disc_rate.read_excel(ENT_TEMPLATE_XLS)
# Check results
n_rates = 102
self.assertIn('int', str(disc_rate.years.dtype))
self.assertEqual(disc_rate.years.shape, (n_rates,))
self.assertEqual(disc_rate.years[0], 2000)
self.assertEqual(disc_rate.years[n_rates-1], 2101)
self.assertIn('float', str(disc_rate.rates.dtype))
self.assertEqual(disc_rate.rates.shape, (n_rates,))
self.assertEqual(disc_rate.rates.min(), 0.02)
self.assertEqual(disc_rate.rates.max(), 0.02)
self.assertEqual(disc_rate.tag.file_name, ENT_TEMPLATE_XLS)
self.assertEqual(disc_rate.tag.description, '')
def test_demo_file_pass(self):
""" Read demo excel file."""
disc_rate = DiscRates()
description = 'One single file.'
disc_rate.read_excel(ENT_DEMO_TODAY, description)
# Check results
n_rates = 51
self.assertIn('int', str(disc_rate.years.dtype))
self.assertEqual(disc_rate.years.shape, (n_rates,))
self.assertEqual(disc_rate.years[0], 2000)
self.assertEqual(disc_rate.years[n_rates-1], 2050)
self.assertIn('float', str(disc_rate.rates.dtype))
self.assertEqual(disc_rate.rates.shape, (n_rates,))
self.assertEqual(disc_rate.rates.min(), 0.02)
self.assertEqual(disc_rate.rates.max(), 0.02)
self.assertEqual(disc_rate.tag.file_name, ENT_DEMO_TODAY)
self.assertEqual(disc_rate.tag.description, description)
def test_demo_file_pass(self):
""" Read demo mat file"""
# Read demo excel file
disc_rate = DiscRates()
description = 'One single file.'
disc_rate.read_mat(ENT_TEST_MAT, description)
# Check results
n_rates = 51
self.assertIn('int', str(disc_rate.years.dtype))
self.assertEqual(len(disc_rate.years), n_rates)
self.assertEqual(disc_rate.years[0], 2000)
self.assertEqual(disc_rate.years[n_rates-1], 2050)
self.assertIn('float', str(disc_rate.rates.dtype))
self.assertEqual(len(disc_rate.rates), n_rates)
self.assertEqual(disc_rate.rates.min(), 0.02)
self.assertEqual(disc_rate.rates.max(), 0.02)
self.assertEqual(disc_rate.tag.file_name, ENT_TEST_MAT)
self.assertEqual(disc_rate.tag.description, description)
def read_mat(self, file_name, description=''):
"""Read MATLAB file of climada.
Parameters:
file_name (str, optional): file name(s) or folder name
containing the files to read
description (str or list(str), optional): one description of the
data or a description of each data file
Raises:
ValueError
"""
self.exposures = Exposures()
self.exposures.read_mat(file_name)
self.disc_rates = DiscRates()
self.disc_rates.read_mat(file_name, description)
self.impact_funcs = ImpactFuncSet()
self.impact_funcs.read_mat(file_name, description)
self.measures = MeasureSet()
self.measures.read_mat(file_name, description)
def __init__(self,
exposures=None,
disc_rates=None,
impact_func_set=None,
measure_set=None):
"""
Initialize entity
Parameters
----------
exposures : climada.entity.Exposures, optional
Exposures of the entity. The default is None (empty Exposures()).
disc_rates : climada.entity.DiscRates, optional
Disc rates of the entity. The default is None (empty DiscRates()).
impact_func_set : climada.entity.ImpactFuncSet, optional
The impact function set. The default is None (empty ImpactFuncSet()).
measure_set : climada.entity.Measures, optional
The measures. The default is None (empty MeasuresSet().
"""
self.exposures = Exposures() if exposures is None else exposures
self.disc_rates = DiscRates() if disc_rates is None else disc_rates
self.impact_funcs = ImpactFuncSet(
) if impact_func_set is None else impact_func_set
self.measures = MeasureSet() if measure_set is None else measure_set
def __init__(self):
""" Empty initializator """
self.exposures = Exposures()
self.disc_rates = DiscRates()
self.impact_funcs = ImpactFuncSet()
self.measures = MeasureSet()
def test_attributes_all(self):
"""All attributes are defined"""
disc_rate = DiscRates()
self.assertTrue(hasattr(disc_rate, 'years'))
self.assertTrue(hasattr(disc_rate, 'rates'))