def test_dewpoint(self):
t = [293.15, 293.15, 300]
rh = [1, 0.8, 1]
td = [293.15, 289.783630, 300]
for i in range(len(t)):
self.assertAlmostEqual(gridpp.dewpoint(t[i], rh[i]), td[i], 4)
np.testing.assert_almost_equal(gridpp.dewpoint(t, rh), td, 4)
def test_invalid_input(self):
"""Check that dimension missmatch results in error"""
with self.assertRaises(Exception) as e:
gridpp.relative_humidity([293.15], [290, 290])
with self.assertRaises(Exception) as e:
gridpp.dewpoint([293.15], [0.9, 0.9])
with self.assertRaises(Exception) as e:
gridpp.wetbulb([293.15], [101325], [0.9, 0.9])
def test_memory_leak_input(self):
"""Checks if there is a memory leak when passing vectors
"""
N = 1000
last = None
min = None
max = None
for i in range(5):
vec = np.random.rand(N * N)
vec2 = np.random.rand(N, N)
output2 = gridpp.neighbourhood(vec2, 7, gridpp.Mean)
output = gridpp.dewpoint(vec, vec)
curr = memory_usage()
if min is None or max is None:
min = curr
max = curr
if curr < min:
min = curr
if curr > max:
max = curr
last = curr
self.assertTrue(max / min < 2)
def test_dewpoint_invalid(self):
t = [np.nan, np.nan, 293.15]
rh = [293.15, np.nan, np.nan]
for i in range(len(t)):
self.assertTrue(np.isnan(gridpp.dewpoint(t[i], rh[i])))
self.assertTrue(np.isnan(gridpp.dewpoint(t, rh)).all())