def test_conversion_with_different_coverage_fails(self, one_year, one_day,
caplog):
register = NDimensionalRegister()
register.register(IntervalSet("one_year", one_year))
register.register(IntervalSet("one_day", one_day))
data = np.array([[1]])
register.convert(data, 'one_year', 'one_day')
expected = "Coverage for 'one_year' is 8760 and does not match " \
"coverage for 'one_day' which is 24"
assert expected in caplog.text
def test_remap_months_to_mapped_months(self, months, monthly_data,
remap_months, remap_month_data):
register = NDimensionalRegister()
register.register(IntervalSet('months', months))
register.register(IntervalSet('remap_months', remap_months))
actual = register.convert(monthly_data, 'months', 'remap_months')
expected = remap_month_data
np.testing.assert_allclose(actual, expected, rtol=1e-05, atol=1e-08)
def test_resample_mapped_months_to_months(self, months, remap_months):
"""Converts from remapped month data (where one average month is used
for each season) back to months
"""
register = NDimensionalRegister()
register.register(IntervalSet('remap_months', remap_months))
register.register(IntervalSet('months', months))
data = np.array([[1, 1, 1, 1]])
actual = register.convert(data, 'remap_months', 'months')
expected = np.array([[
1.033333, 0.933333, 1.01087, 0.978261, 1.01087, 0.978261, 1.01087,
1.01087, 0.989011, 1.021978, 0.989011, 1.033333
]])
np.testing.assert_allclose(actual, expected, rtol=1e-3)