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test_trackqc.py
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import unittest
import numpy as np
from SimpleIMMA import IMMA
import Extended_IMMA as ex
import trackqc as tqc
import os
import sys
class TestTrackQC_track_day_test(unittest.TestCase):
def test_daytime_exeter(self):
daytime=tqc.track_day_test(2019,6,21,12.0,50.7,-3.5,elevdlim=-2.5)
self.assertEqual(daytime,True)
def test_nighttime_exeter(self):
daytime=tqc.track_day_test(2019,6,21,0.0,50.7,-3.5,elevdlim=-2.5)
self.assertEqual(daytime,False)
def test_large_elevdlim_exeter(self):
daytime=tqc.track_day_test(2019,6,21,12.0,50.7,-3.5,elevdlim=89.0)
self.assertEqual(daytime,False)
def test_error_invalid_parameter(self):
try:
daytime=tqc.track_day_test(2019,13,21,0.0,50.7,-3.5,elevdlim=-2.5)
except AssertionError as error:
error_return_text='month is invalid'
self.assertEqual(str(error)[0:len(error_return_text)],error_return_text)
class TestTrackQC_trim_mean(unittest.TestCase):
def test_no_trim(self):
arr=np.array([10.0,4.0,3.0,2.0,1.0])
trim=tqc.trim_mean(arr,0)
self.assertEqual(trim,4.0)
self.assertEqual(np.all(arr==np.array([10.0,4.0,3.0,2.0,1.0])),True) # this checks the array is not modifed by the function
def test_with_trim(self):
arr=np.array([10.0,4.0,3.0,2.0,1.0])
trim=tqc.trim_mean(arr,5)
self.assertEqual(trim,3.0)
self.assertEqual(np.all(arr==np.array([10.0,4.0,3.0,2.0,1.0])),True) # this checks the array is not modifed by the function
class TestTrackQC_trim_std(unittest.TestCase):
def test_no_trim(self):
arr=np.array([6.0,1.0,1.0,1.0,1.0])
trim=tqc.trim_std(arr,0)
self.assertEqual(trim,2.0)
self.assertEqual(np.all(arr==np.array([6.0,1.0,1.0,1.0,1.0])),True) # this checks the array is not modifed by the function
def test_with_trim(self):
arr=np.array([6.0,1.0,1.0,1.0,1.0])
trim=tqc.trim_std(arr,5)
self.assertEqual(trim,0.0)
self.assertEqual(np.all(arr==np.array([6.0,1.0,1.0,1.0,1.0])),True) # this checks the array is not modifed by the function
class TestTrackQC_aground_check(unittest.TestCase):
def setUp(self):
#stationary drifter
vals1 = [{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':1, 'HR':12, 'LAT':0.0, 'LON':0.0, 'SST':5.0},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':2, 'HR':12, 'LAT':0.0, 'LON':0.0, 'SST':5.0},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':3, 'HR':12, 'LAT':0.0, 'LON':0.0, 'SST':5.0},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':4, 'HR':12, 'LAT':0.0, 'LON':0.0, 'SST':5.0},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':5, 'HR':12, 'LAT':0.0, 'LON':0.0, 'SST':5.0},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':6, 'HR':12, 'LAT':0.0, 'LON':0.0, 'SST':5.0},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':7, 'HR':12, 'LAT':0.0, 'LON':0.0, 'SST':5.0}]
#stationary drifter (artificial 'jitter' spikes)
vals2 = [{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':1, 'HR':12, 'LAT':0.0, 'LON':0.0, 'SST':5.0},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':2, 'HR':12, 'LAT':0.0, 'LON':0.0, 'SST':5.0},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':3, 'HR':12, 'LAT':1.0, 'LON':0.0, 'SST':5.0},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':4, 'HR':12, 'LAT':0.0, 'LON':0.0, 'SST':5.0},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':5, 'HR':12, 'LAT':0.0, 'LON':1.0, 'SST':5.0},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':6, 'HR':12, 'LAT':0.0, 'LON':0.0, 'SST':5.0},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':7, 'HR':12, 'LAT':0.0, 'LON':0.0, 'SST':5.0}]
#stationary drifter (artificial 'jitter' which won't be fully smoothed and outside tolerance)
vals3 = [{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':1, 'HR':12, 'LAT':0.0, 'LON':0.0, 'SST':5.0},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':2, 'HR':12, 'LAT':0.0, 'LON':0.0, 'SST':5.0},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':3, 'HR':12, 'LAT':1.0, 'LON':0.0, 'SST':5.0},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':4, 'HR':12, 'LAT':1.0, 'LON':0.0, 'SST':5.0},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':5, 'HR':12, 'LAT':0.0, 'LON':0.0, 'SST':5.0},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':6, 'HR':12, 'LAT':0.0, 'LON':0.0, 'SST':5.0},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':7, 'HR':12, 'LAT':0.0, 'LON':0.0, 'SST':5.0}]
#stationary drifter (artificial 'jitter' which won't be fully smoothed and within tolerance)
vals4 = [{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':1, 'HR':12, 'LAT':0.0, 'LON':0.0, 'SST':5.0},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':2, 'HR':12, 'LAT':0.0, 'LON':0.0, 'SST':5.0},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':3, 'HR':12, 'LAT':0.01, 'LON':0.01, 'SST':5.0},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':4, 'HR':12, 'LAT':0.01, 'LON':0.01, 'SST':5.0},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':5, 'HR':12, 'LAT':0.0, 'LON':0.0, 'SST':5.0},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':6, 'HR':12, 'LAT':0.0, 'LON':0.0, 'SST':5.0},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':7, 'HR':12, 'LAT':0.0, 'LON':0.0, 'SST':5.0}]
#moving drifter (going west)
vals5 = [{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':1, 'HR':12, 'LAT':0.0, 'LON':0.0, 'SST':5.0},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':2, 'HR':12, 'LAT':0.0, 'LON':-0.02, 'SST':5.0},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':3, 'HR':12, 'LAT':0.0, 'LON':-0.04, 'SST':5.0},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':4, 'HR':12, 'LAT':0.0, 'LON':-0.06, 'SST':5.0},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':5, 'HR':12, 'LAT':0.0, 'LON':-0.08, 'SST':5.0},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':6, 'HR':12, 'LAT':0.0, 'LON':-0.10, 'SST':5.0},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':7, 'HR':12, 'LAT':0.0, 'LON':-0.12, 'SST':5.0}]
#moving drifter (going north)
vals6 = [{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':1, 'HR':12, 'LAT':0.0, 'LON':0.0, 'SST':5.0},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':2, 'HR':12, 'LAT':0.02, 'LON':0.0, 'SST':5.0},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':3, 'HR':12, 'LAT':0.04, 'LON':0.0, 'SST':5.0},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':4, 'HR':12, 'LAT':0.06, 'LON':0.0, 'SST':5.0},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':5, 'HR':12, 'LAT':0.08, 'LON':0.0, 'SST':5.0},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':6, 'HR':12, 'LAT':0.10, 'LON':0.0, 'SST':5.0},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':7, 'HR':12, 'LAT':0.12, 'LON':0.0, 'SST':5.0}]
#runs aground (drifter going north then stops)
vals7 = [{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':1, 'HR':12, 'LAT':0.0, 'LON':0.0, 'SST':5.0},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':2, 'HR':12, 'LAT':0.02, 'LON':0.0, 'SST':5.0},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':3, 'HR':12, 'LAT':0.04, 'LON':0.0, 'SST':5.0},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':4, 'HR':12, 'LAT':0.06, 'LON':0.0, 'SST':5.0},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':5, 'HR':12, 'LAT':0.08, 'LON':0.0, 'SST':5.0},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':6, 'HR':12, 'LAT':0.08, 'LON':0.0, 'SST':5.0},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':7, 'HR':12, 'LAT':0.08, 'LON':0.0, 'SST':5.0}]
#stationary drifter (high frequency sampling prevents detection)
vals8 = [{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':1, 'HR':1, 'LAT':0.0, 'LON':0.0, 'SST':5.0},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':1, 'HR':2, 'LAT':0.0, 'LON':0.0, 'SST':5.0},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':1, 'HR':3, 'LAT':0.0, 'LON':0.0, 'SST':5.0},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':1, 'HR':4, 'LAT':0.0, 'LON':0.0, 'SST':5.0},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':1, 'HR':5, 'LAT':0.0, 'LON':0.0, 'SST':5.0},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':1, 'HR':6, 'LAT':0.0, 'LON':0.0, 'SST':5.0},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':1, 'HR':7, 'LAT':0.0, 'LON':0.0, 'SST':5.0}]
#stationary drifter (low frequency sampling prevents detection)
vals9 = [{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':1, 'HR':12, 'LAT':0.0, 'LON':0.0, 'SST':5.0},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':4, 'HR':12, 'LAT':0.0, 'LON':0.0, 'SST':5.0},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':7, 'HR':12, 'LAT':0.0, 'LON':0.0, 'SST':5.0},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':10, 'HR':12, 'LAT':0.0, 'LON':0.0, 'SST':5.0},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':13, 'HR':12, 'LAT':0.0, 'LON':0.0, 'SST':5.0},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':16, 'HR':12, 'LAT':0.0, 'LON':0.0, 'SST':5.0},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':19, 'HR':12, 'LAT':0.0, 'LON':0.0, 'SST':5.0}]
#stationary drifter (mid frequency sampling enables detection)
vals10 = [{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':1, 'HR':12, 'LAT':0.0, 'LON':0.0, 'SST':5.0},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':3, 'HR':0, 'LAT':0.0, 'LON':0.0, 'SST':5.0},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':4, 'HR':12, 'LAT':0.0, 'LON':0.0, 'SST':5.0},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':6, 'HR':0, 'LAT':0.0, 'LON':0.0, 'SST':5.0},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':7, 'HR':12, 'LAT':0.0, 'LON':0.0, 'SST':5.0},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':9, 'HR':0, 'LAT':0.0, 'LON':0.0, 'SST':5.0},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':10, 'HR':12, 'LAT':0.0, 'LON':0.0, 'SST':5.0}]
#stationary drifter (changed sampling prevents early detection)
vals11 = [{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':1, 'HR':12, 'LAT':0.0, 'LON':0.0, 'SST':5.0},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':4, 'HR':12, 'LAT':0.0, 'LON':0.0, 'SST':5.0},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':7, 'HR':12, 'LAT':0.0, 'LON':0.0, 'SST':5.0},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':8, 'HR':12, 'LAT':0.0, 'LON':0.0, 'SST':5.0},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':9, 'HR':12, 'LAT':0.0, 'LON':0.0, 'SST':5.0},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':10, 'HR':12, 'LAT':0.0, 'LON':0.0, 'SST':5.0},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':11, 'HR':12, 'LAT':0.0, 'LON':0.0, 'SST':5.0}]
#moving drifter (going northwest at equator but going slowly and within tolerance)
vals12 = [{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':1, 'HR':12, 'LAT':0.0, 'LON':0.0, 'SST':5.0},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':2, 'HR':12, 'LAT':0.005, 'LON':-0.005, 'SST':5.0},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':3, 'HR':12, 'LAT':0.01, 'LON':-0.01, 'SST':5.0},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':4, 'HR':12, 'LAT':0.015, 'LON':-0.015, 'SST':5.0},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':5, 'HR':12, 'LAT':0.02, 'LON':-0.02, 'SST':5.0},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':6, 'HR':12, 'LAT':0.025, 'LON':-0.025, 'SST':5.0},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':7, 'HR':12, 'LAT':0.03, 'LON':-0.03, 'SST':5.0}]
#moving drifter (going west in high Arctic but going slower than tolerance set at equator)
vals13 = [{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':1, 'HR':12, 'LAT':85.0, 'LON':0.0, 'SST':5.0},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':2, 'HR':12, 'LAT':85.0, 'LON':-0.02, 'SST':5.0},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':3, 'HR':12, 'LAT':85.0, 'LON':-0.04, 'SST':5.0},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':4, 'HR':12, 'LAT':85.0, 'LON':-0.06, 'SST':5.0},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':5, 'HR':12, 'LAT':85.0, 'LON':-0.08, 'SST':5.0},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':6, 'HR':12, 'LAT':85.0, 'LON':-0.10, 'SST':5.0},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':7, 'HR':12, 'LAT':85.0, 'LON':-0.12, 'SST':5.0}]
#stationary then moves
vals14 = [{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':1, 'HR':12, 'LAT':0.0, 'LON':0.0, 'SST':5.0},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':2, 'HR':12, 'LAT':0.0, 'LON':0.0, 'SST':5.0},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':3, 'HR':12, 'LAT':0.0, 'LON':0.0, 'SST':5.0},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':4, 'HR':12, 'LAT':0.0, 'LON':0.0, 'SST':5.0},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':5, 'HR':12, 'LAT':0.02, 'LON':0.0, 'SST':5.0},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':6, 'HR':12, 'LAT':0.04, 'LON':0.0, 'SST':5.0},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':7, 'HR':12, 'LAT':0.06, 'LON':0.0, 'SST':5.0}]
#too short for QC
vals15 = [{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':1, 'HR':12, 'LAT':0.0, 'LON':0.0, 'SST':5.0},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':2, 'HR':12, 'LAT':0.0, 'LON':-0.02, 'SST':5.0}]
#assertion error - bad input parameter
vals16 = [{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':1, 'HR':12, 'LAT':0.0, 'LON':0.0, 'SST':5.0},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':2, 'HR':12, 'LAT':0.0, 'LON':-0.02, 'SST':5.0},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':3, 'HR':12, 'LAT':0.0, 'LON':-0.04, 'SST':5.0},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':4, 'HR':12, 'LAT':0.0, 'LON':-0.06, 'SST':5.0},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':5, 'HR':12, 'LAT':0.0, 'LON':-0.08, 'SST':5.0},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':6, 'HR':12, 'LAT':0.0, 'LON':-0.10, 'SST':5.0},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':7, 'HR':12, 'LAT':0.0, 'LON':-0.12, 'SST':5.0}]
#assertion error - missing observation
vals17 = [{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':1, 'HR':12, 'LAT':0.0, 'LON':0.0, 'SST':5.0},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':2, 'HR':12, 'LAT':0.0, 'LON':-0.02, 'SST':5.0},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':3, 'HR':12, 'LAT':0.0, 'LON':-0.04, 'SST':5.0},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':4, 'HR':12, 'LAT':0.0, 'LON':-0.06, 'SST':5.0},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':5, 'HR':12, 'LAT':0.0, 'LON':-0.08, 'SST':5.0},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':6, 'HR':12, 'LAT':0.0, 'LON':-0.10, 'SST':5.0},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':7, 'HR':12, 'LAT':0.0, 'LON':-0.12, 'SST':5.0}]
#assertion error - times not sorted
vals18 = [{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':1, 'HR':12, 'LAT':0.0, 'LON':0.0, 'SST':5.0},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':2, 'HR':12, 'LAT':0.0, 'LON':-0.02, 'SST':5.0},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':3, 'HR':12, 'LAT':0.0, 'LON':-0.04, 'SST':5.0},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':2, 'HR':12, 'LAT':0.0, 'LON':-0.06, 'SST':5.0},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':5, 'HR':12, 'LAT':0.0, 'LON':-0.08, 'SST':5.0},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':6, 'HR':12, 'LAT':0.0, 'LON':-0.10, 'SST':5.0},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':7, 'HR':12, 'LAT':0.0, 'LON':-0.12, 'SST':5.0}]
self.reps1 = ex.Voyage()
self.reps2 = ex.Voyage()
self.reps3 = ex.Voyage()
self.reps4 = ex.Voyage()
self.reps5 = ex.Voyage()
self.reps6 = ex.Voyage()
self.reps7 = ex.Voyage()
self.reps8 = ex.Voyage()
self.reps9 = ex.Voyage()
self.reps10 = ex.Voyage()
self.reps11 = ex.Voyage()
self.reps12 = ex.Voyage()
self.reps13 = ex.Voyage()
self.reps14 = ex.Voyage()
self.reps15 = ex.Voyage()
self.reps16 = ex.Voyage()
self.reps17 = ex.Voyage()
self.reps18 = ex.Voyage()
for v in vals1:
rec = IMMA()
for key in v:
rec.data[key] = v[key]
rep = ex.MarineReportQC(rec)
self.reps1.add_report(rep)
for v in vals2:
rec = IMMA()
for key in v:
rec.data[key] = v[key]
rep = ex.MarineReportQC(rec)
self.reps2.add_report(rep)
for v in vals3:
rec = IMMA()
for key in v:
rec.data[key] = v[key]
rep = ex.MarineReportQC(rec)
self.reps3.add_report(rep)
for v in vals4:
rec = IMMA()
for key in v:
rec.data[key] = v[key]
rep = ex.MarineReportQC(rec)
self.reps4.add_report(rep)
for v in vals5:
rec = IMMA()
for key in v:
rec.data[key] = v[key]
rep = ex.MarineReportQC(rec)
self.reps5.add_report(rep)
for v in vals6:
rec = IMMA()
for key in v:
rec.data[key] = v[key]
rep = ex.MarineReportQC(rec)
self.reps6.add_report(rep)
for v in vals7:
rec = IMMA()
for key in v:
rec.data[key] = v[key]
rep = ex.MarineReportQC(rec)
self.reps7.add_report(rep)
for v in vals8:
rec = IMMA()
for key in v:
rec.data[key] = v[key]
rep = ex.MarineReportQC(rec)
self.reps8.add_report(rep)
for v in vals9:
rec = IMMA()
for key in v:
rec.data[key] = v[key]
rep = ex.MarineReportQC(rec)
self.reps9.add_report(rep)
for v in vals10:
rec = IMMA()
for key in v:
rec.data[key] = v[key]
rep = ex.MarineReportQC(rec)
self.reps10.add_report(rep)
for v in vals11:
rec = IMMA()
for key in v:
rec.data[key] = v[key]
rep = ex.MarineReportQC(rec)
self.reps11.add_report(rep)
for v in vals12:
rec = IMMA()
for key in v:
rec.data[key] = v[key]
rep = ex.MarineReportQC(rec)
self.reps12.add_report(rep)
for v in vals13:
rec = IMMA()
for key in v:
rec.data[key] = v[key]
rep = ex.MarineReportQC(rec)
self.reps13.add_report(rep)
for v in vals14:
rec = IMMA()
for key in v:
rec.data[key] = v[key]
rep = ex.MarineReportQC(rec)
self.reps14.add_report(rep)
for v in vals15:
rec = IMMA()
for key in v:
rec.data[key] = v[key]
rep = ex.MarineReportQC(rec)
self.reps15.add_report(rep)
for v in vals16:
rec = IMMA()
for key in v:
rec.data[key] = v[key]
rep = ex.MarineReportQC(rec)
self.reps16.add_report(rep)
for v in vals17:
rec = IMMA()
for key in v:
rec.data[key] = v[key]
rep = ex.MarineReportQC(rec)
self.reps17.add_report(rep)
self.reps17.setvar(1,'LON',None)
for v in vals18:
rec = IMMA()
for key in v:
rec.data[key] = v[key]
rep = ex.MarineReportQC(rec)
self.reps18.add_report(rep)
def tearDown(self):
del self.reps1
del self.reps2
del self.reps3
del self.reps4
del self.reps5
del self.reps6
del self.reps7
del self.reps8
del self.reps9
del self.reps10
del self.reps11
del self.reps12
del self.reps13
del self.reps14
del self.reps15
del self.reps16
del self.reps17
del self.reps18
# --- original aground check ---
def test_stationary(self):
expected_flags=[1,1,1,1,1,1,1]
tqc.aground_check(self.reps1.reps,3,1,2)
for i in range(0, len(self.reps1)):
self.assertEqual(self.reps1.get_qc(i,'POS','drf_agr'), expected_flags[i])
def test_stationary_jitter_spikes(self):
expected_flags=[1,1,1,1,1,1,1]
tqc.aground_check(self.reps2.reps,3,1,2)
for i in range(0, len(self.reps2)):
self.assertEqual(self.reps2.get_qc(i,'POS','drf_agr'), expected_flags[i])
def test_stationary_big_remaining_jitter(self):
expected_flags=[0,0,0,0,1,1,1]
tqc.aground_check(self.reps3.reps,3,1,2)
for i in range(0, len(self.reps3)):
self.assertEqual(self.reps3.get_qc(i,'POS','drf_agr'), expected_flags[i])
def test_stationary_small_remaining_jitter(self):
expected_flags=[1,1,1,1,1,1,1]
tqc.aground_check(self.reps4.reps,3,1,2)
for i in range(0, len(self.reps4)):
self.assertEqual(self.reps4.get_qc(i,'POS','drf_agr'), expected_flags[i])
def test_moving_west(self):
expected_flags=[0,0,0,0,0,0,0]
tqc.aground_check(self.reps5.reps,3,1,2)
for i in range(0, len(self.reps5)):
self.assertEqual(self.reps5.get_qc(i,'POS','drf_agr'), expected_flags[i])
def test_moving_north(self):
expected_flags=[0,0,0,0,0,0,0]
tqc.aground_check(self.reps6.reps,3,1,2)
for i in range(0, len(self.reps6)):
self.assertEqual(self.reps6.get_qc(i,'POS','drf_agr'), expected_flags[i])
def test_moving_north_then_stop(self):
expected_flags=[0,0,0,0,1,1,1]
tqc.aground_check(self.reps7.reps,3,1,2)
for i in range(0, len(self.reps7)):
self.assertEqual(self.reps7.get_qc(i,'POS','drf_agr'), expected_flags[i])
def test_stationary_high_freq_sampling(self):
expected_flags=[0,0,0,0,0,0,0]
tqc.aground_check(self.reps8.reps,3,1,2)
for i in range(0, len(self.reps8)):
self.assertEqual(self.reps8.get_qc(i,'POS','drf_agr'), expected_flags[i])
def test_stationary_low_freq_sampling(self):
expected_flags=[0,0,0,0,0,0,0]
tqc.aground_check(self.reps9.reps,3,1,2)
for i in range(0, len(self.reps9)):
self.assertEqual(self.reps9.get_qc(i,'POS','drf_agr'), expected_flags[i])
def test_stationary_mid_freq_sampling(self):
expected_flags=[1,1,1,1,1,1,1]
tqc.aground_check(self.reps10.reps,3,1,2)
for i in range(0, len(self.reps10)):
self.assertEqual(self.reps10.get_qc(i,'POS','drf_agr'), expected_flags[i])
def test_stationary_low_to_mid_freq_sampling(self):
expected_flags=[0,0,1,1,1,1,1]
tqc.aground_check(self.reps11.reps,3,1,2)
for i in range(0, len(self.reps11)):
self.assertEqual(self.reps11.get_qc(i,'POS','drf_agr'), expected_flags[i])
def test_moving_slowly_northwest(self):
expected_flags=[1,1,1,1,1,1,1]
tqc.aground_check(self.reps12.reps,3,1,2)
for i in range(0, len(self.reps12)):
self.assertEqual(self.reps12.get_qc(i,'POS','drf_agr'), expected_flags[i])
def test_moving_slowly_west_in_arctic(self):
expected_flags=[1,1,1,1,1,1,1]
tqc.aground_check(self.reps13.reps,3,1,2)
for i in range(0, len(self.reps13)):
self.assertEqual(self.reps13.get_qc(i,'POS','drf_agr'), expected_flags[i])
def test_stop_then_moving_north(self):
expected_flags=[0,0,0,0,0,0,0]
tqc.aground_check(self.reps14.reps,3,1,2)
for i in range(0, len(self.reps14)):
self.assertEqual(self.reps14.get_qc(i,'POS','drf_agr'), expected_flags[i])
def test_too_short_for_qc(self):
expected_flags=[0,0]
old_stdout = sys.stdout
f = open(os.devnull, 'w')
sys.stdout = f
tqc.aground_check(self.reps15.reps,3,1,2)
sys.stdout = old_stdout
for i in range(0, len(self.reps15)):
self.assertEqual(self.reps15.get_qc(i,'POS','drf_agr'), expected_flags[i])
def test_error_bad_input_parameter(self):
expected_flags=[9,9,9,9,9,9,9]
try:
tqc.aground_check(self.reps16.reps,0,1,2)
except AssertionError as error:
error_return_text='invalid input parameter: smooth_win must be >= 1'
self.assertEqual(str(error)[0:len(error_return_text)],error_return_text)
for i in range(0, len(self.reps16)):
self.assertEqual(self.reps16.get_qc(i,'POS','drf_agr'), expected_flags[i])
def test_error_missing_observation(self):
expected_flags=[9,9,9,9,9,9,9]
try:
tqc.aground_check(self.reps17.reps,3,1,2)
except AssertionError as error:
error_return_text='problem with report values: Nan(s) found in longitude'
self.assertEqual(str(error)[0:len(error_return_text)],error_return_text)
for i in range(0, len(self.reps17)):
self.assertEqual(self.reps17.get_qc(i,'POS','drf_agr'), expected_flags[i])
def test_error_not_time_sorted(self):
expected_flags=[9,9,9,9,9,9,9]
try:
tqc.aground_check(self.reps18.reps,3,1,2)
except AssertionError as error:
error_return_text='problem with report values: times are not sorted'
self.assertEqual(str(error)[0:len(error_return_text)],error_return_text)
for i in range(0, len(self.reps18)):
self.assertEqual(self.reps18.get_qc(i,'POS','drf_agr'), expected_flags[i])
# --- new aground check---
def test_new_stationary(self):
expected_flags=[1,1,1,1,1,1,1]
tqc.new_aground_check(self.reps1.reps,3,1)
for i in range(0, len(self.reps1)):
self.assertEqual(self.reps1.get_qc(i,'POS','drf_agr'), expected_flags[i])
def test_new_stationary_jitter_spikes(self):
expected_flags=[1,1,1,1,1,1,1]
tqc.new_aground_check(self.reps2.reps,3,1)
for i in range(0, len(self.reps2)):
self.assertEqual(self.reps2.get_qc(i,'POS','drf_agr'), expected_flags[i])
def test_new_stationary_big_remaining_jitter(self):
expected_flags=[0,0,0,0,1,1,1]
tqc.new_aground_check(self.reps3.reps,3,1)
for i in range(0, len(self.reps3)):
self.assertEqual(self.reps3.get_qc(i,'POS','drf_agr'), expected_flags[i])
def test_new_stationary_small_remaining_jitter(self):
expected_flags=[1,1,1,1,1,1,1]
tqc.new_aground_check(self.reps4.reps,3,1)
for i in range(0, len(self.reps4)):
self.assertEqual(self.reps4.get_qc(i,'POS','drf_agr'), expected_flags[i])
def test_new_moving_west(self):
expected_flags=[0,0,0,0,0,0,0]
tqc.new_aground_check(self.reps5.reps,3,1)
for i in range(0, len(self.reps5)):
self.assertEqual(self.reps5.get_qc(i,'POS','drf_agr'), expected_flags[i])
def test_new_moving_north(self):
expected_flags=[0,0,0,0,0,0,0]
tqc.new_aground_check(self.reps6.reps,3,1)
for i in range(0, len(self.reps6)):
self.assertEqual(self.reps6.get_qc(i,'POS','drf_agr'), expected_flags[i])
def test_new_moving_north_then_stop(self):
expected_flags=[0,0,0,0,1,1,1]
tqc.new_aground_check(self.reps7.reps,3,1)
for i in range(0, len(self.reps7)):
self.assertEqual(self.reps7.get_qc(i,'POS','drf_agr'), expected_flags[i])
def test_new_stationary_high_freq_sampling(self):
expected_flags=[0,0,0,0,0,0,0]
tqc.new_aground_check(self.reps8.reps,3,1)
for i in range(0, len(self.reps8)):
self.assertEqual(self.reps8.get_qc(i,'POS','drf_agr'), expected_flags[i])
def test_new_stationary_low_freq_sampling(self):
expected_flags=[1,1,1,1,1,1,1]
tqc.new_aground_check(self.reps9.reps,3,1)
for i in range(0, len(self.reps9)):
self.assertEqual(self.reps9.get_qc(i,'POS','drf_agr'), expected_flags[i])
def test_new_stationary_mid_freq_sampling(self):
expected_flags=[1,1,1,1,1,1,1]
tqc.new_aground_check(self.reps10.reps,3,1)
for i in range(0, len(self.reps10)):
self.assertEqual(self.reps10.get_qc(i,'POS','drf_agr'), expected_flags[i])
def test_new_stationary_low_to_mid_freq_sampling(self):
expected_flags=[1,1,1,1,1,1,1]
tqc.new_aground_check(self.reps11.reps,3,1)
for i in range(0, len(self.reps11)):
self.assertEqual(self.reps11.get_qc(i,'POS','drf_agr'), expected_flags[i])
def test_new_moving_slowly_northwest(self):
expected_flags=[0,0,0,1,1,1,1]
tqc.new_aground_check(self.reps12.reps,3,1)
for i in range(0, len(self.reps12)):
self.assertEqual(self.reps12.get_qc(i,'POS','drf_agr'), expected_flags[i])
def test_new_moving_slowly_west_in_arctic(self):
expected_flags=[1,1,1,1,1,1,1]
tqc.new_aground_check(self.reps13.reps,3,1)
for i in range(0, len(self.reps13)):
self.assertEqual(self.reps13.get_qc(i,'POS','drf_agr'), expected_flags[i])
def test_new_stop_then_moving_north(self):
expected_flags=[0,0,0,0,0,0,0]
tqc.new_aground_check(self.reps14.reps,3,1)
for i in range(0, len(self.reps14)):
self.assertEqual(self.reps14.get_qc(i,'POS','drf_agr'), expected_flags[i])
def test_new_too_short_for_qc(self):
expected_flags=[0,0]
old_stdout = sys.stdout
f = open(os.devnull, 'w')
sys.stdout = f
tqc.new_aground_check(self.reps15.reps,3,1)
sys.stdout = old_stdout
for i in range(0, len(self.reps15)):
self.assertEqual(self.reps15.get_qc(i,'POS','drf_agr'), expected_flags[i])
def test_new_error_bad_input_parameter(self):
expected_flags=[9,9,9,9,9,9,9]
try:
tqc.new_aground_check(self.reps16.reps,2,1)
except AssertionError as error:
error_return_text='invalid input parameter: smooth_win must be an odd number'
self.assertEqual(str(error)[0:len(error_return_text)],error_return_text)
for i in range(0, len(self.reps16)):
self.assertEqual(self.reps16.get_qc(i,'POS','drf_agr'), expected_flags[i])
def test_new_error_missing_observation(self):
expected_flags=[9,9,9,9,9,9,9]
try:
tqc.new_aground_check(self.reps17.reps,3,1)
except AssertionError as error:
error_return_text='problem with report values: Nan(s) found in longitude'
self.assertEqual(str(error)[0:len(error_return_text)],error_return_text)
for i in range(0, len(self.reps17)):
self.assertEqual(self.reps17.get_qc(i,'POS','drf_agr'), expected_flags[i])
def test_new_error_not_time_sorted(self):
expected_flags=[9,9,9,9,9,9,9]
try:
tqc.new_aground_check(self.reps18.reps,3,1)
except AssertionError as error:
error_return_text='problem with report values: times are not sorted'
self.assertEqual(str(error)[0:len(error_return_text)],error_return_text)
for i in range(0, len(self.reps18)):
self.assertEqual(self.reps18.get_qc(i,'POS','drf_agr'), expected_flags[i])
class TestTrackQC_speed_check(unittest.TestCase):
def setUp(self):
#iquam parameter dictionary
self.iquam_parameters = {'number_of_neighbours':5,
'buoy_speed_limit':15.0,
'ship_speed_limit':60.0,
'delta_d':1.11,
'delta_t':0.01}
#stationary drifter
vals1 = [{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':1, 'HR':12, 'LAT':0.0, 'LON':0.0, 'SST':5.0, 'PT':7},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':2, 'HR':12, 'LAT':0.0, 'LON':0.0, 'SST':5.0, 'PT':7},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':3, 'HR':12, 'LAT':0.0, 'LON':0.0, 'SST':5.0, 'PT':7},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':4, 'HR':12, 'LAT':0.0, 'LON':0.0, 'SST':5.0, 'PT':7},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':5, 'HR':12, 'LAT':0.0, 'LON':0.0, 'SST':5.0, 'PT':7},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':6, 'HR':12, 'LAT':0.0, 'LON':0.0, 'SST':5.0, 'PT':7},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':7, 'HR':12, 'LAT':0.0, 'LON':0.0, 'SST':5.0, 'PT':7}]
#fast moving drifter
vals2 = [{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':1, 'HR':12, 'LAT':0.0, 'LON':0.0, 'SST':5.0, 'PT':7},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':2, 'HR':12, 'LAT':3.0, 'LON':0.0, 'SST':5.0, 'PT':7},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':3, 'HR':12, 'LAT':6.0, 'LON':0.0, 'SST':5.0, 'PT':7},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':4, 'HR':12, 'LAT':9.0, 'LON':0.0, 'SST':5.0, 'PT':7},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':5, 'HR':12, 'LAT':12.0, 'LON':0.0, 'SST':5.0, 'PT':7},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':6, 'HR':12, 'LAT':15.0, 'LON':0.0, 'SST':5.0, 'PT':7},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':7, 'HR':12, 'LAT':18.0, 'LON':0.0, 'SST':5.0, 'PT':7}]
#slow moving drifter
vals3 = [{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':1, 'HR':12, 'LAT':0.0, 'LON':0.0, 'SST':5.0, 'PT':7},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':2, 'HR':12, 'LAT':0.0, 'LON':1.0, 'SST':5.0, 'PT':7},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':3, 'HR':12, 'LAT':0.0, 'LON':2.0, 'SST':5.0, 'PT':7},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':4, 'HR':12, 'LAT':0.0, 'LON':3.0, 'SST':5.0, 'PT':7},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':5, 'HR':12, 'LAT':0.0, 'LON':4.0, 'SST':5.0, 'PT':7},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':6, 'HR':12, 'LAT':0.0, 'LON':5.0, 'SST':5.0, 'PT':7},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':7, 'HR':12, 'LAT':0.0, 'LON':6.0, 'SST':5.0, 'PT':7}]
#slow-fast-slow moving drifter
vals4 = [{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':1, 'HR':12, 'LAT':0.0, 'LON':0.0, 'SST':5.0, 'PT':7},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':2, 'HR':12, 'LAT':1.0, 'LON':0.0, 'SST':5.0, 'PT':7},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':3, 'HR':12, 'LAT':2.0, 'LON':0.0, 'SST':5.0, 'PT':7},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':4, 'HR':12, 'LAT':5.0, 'LON':0.0, 'SST':5.0, 'PT':7},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':5, 'HR':12, 'LAT':8.0, 'LON':0.0, 'SST':5.0, 'PT':7},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':6, 'HR':12, 'LAT':9.0, 'LON':0.0, 'SST':5.0, 'PT':7},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':7, 'HR':12, 'LAT':10.0, 'LON':0.0, 'SST':5.0, 'PT':7}]
#fast moving drifter (high frequency sampling)
vals5 = [{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':1, 'HR':0, 'LAT':0.0, 'LON':0.0, 'SST':5.0, 'PT':7},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':1, 'HR':1, 'LAT':3.0, 'LON':0.0, 'SST':5.0, 'PT':7},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':1, 'HR':2, 'LAT':6.0, 'LON':0.0, 'SST':5.0, 'PT':7},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':1, 'HR':3, 'LAT':9.0, 'LON':0.0, 'SST':5.0, 'PT':7},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':1, 'HR':4, 'LAT':12.0, 'LON':0.0, 'SST':5.0, 'PT':7},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':1, 'HR':5, 'LAT':15.0, 'LON':0.0, 'SST':5.0, 'PT':7},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':1, 'HR':6, 'LAT':18.0, 'LON':0.0, 'SST':5.0, 'PT':7}]
#fast moving drifter (low frequency sampling)
vals6 = [{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':1, 'HR':12, 'LAT':0.0, 'LON':0.0, 'SST':5.0, 'PT':7},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':2, 'HR':13, 'LAT':5.0, 'LON':0.0, 'SST':5.0, 'PT':7},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':3, 'HR':14, 'LAT':10.0, 'LON':0.0, 'SST':5.0, 'PT':7},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':4, 'HR':15, 'LAT':15.0, 'LON':0.0, 'SST':5.0, 'PT':7},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':5, 'HR':16, 'LAT':20.0, 'LON':0.0, 'SST':5.0, 'PT':7},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':6, 'HR':17, 'LAT':25.0, 'LON':0.0, 'SST':5.0, 'PT':7},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':7, 'HR':18, 'LAT':30.0, 'LON':0.0, 'SST':5.0, 'PT':7}]
#slow-fast-slow moving drifter (mid frequency sampling)
vals7 = [{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':1, 'HR':0, 'LAT':0.0, 'LON':0.0, 'SST':5.0, 'PT':7},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':1, 'HR':12, 'LAT':0.5, 'LON':0.0, 'SST':5.0, 'PT':7},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':2, 'HR':0, 'LAT':1.0, 'LON':0.0, 'SST':5.0, 'PT':7},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':2, 'HR':12, 'LAT':2.5, 'LON':0.0, 'SST':5.0, 'PT':7},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':3, 'HR':0, 'LAT':4.0, 'LON':0.0, 'SST':5.0, 'PT':7},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':3, 'HR':12, 'LAT':4.5, 'LON':0.0, 'SST':5.0, 'PT':7},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':4, 'HR':0, 'LAT':5.0, 'LON':0.0, 'SST':5.0, 'PT':7}]
#fast moving drifter (with irregular sampling)
vals8 = [{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':1, 'HR':12, 'LAT':0.0, 'LON':0.0, 'SST':5.0, 'PT':7},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':2, 'HR':12, 'LAT':3.0, 'LON':0.0, 'SST':5.0, 'PT':7},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':4, 'HR':12, 'LAT':12.0, 'LON':0.0, 'SST':5.0, 'PT':7},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':5, 'HR':12, 'LAT':12.0, 'LON':0.0, 'SST':5.0, 'PT':7},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':5, 'HR':23, 'LAT':14.0, 'LON':0.0, 'SST':5.0, 'PT':7},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':6, 'HR':23, 'LAT':14.0, 'LON':0.0, 'SST':5.0, 'PT':7},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':7, 'HR':23, 'LAT':17.0, 'LON':0.0, 'SST':5.0, 'PT':7}]
#fast moving Arctic drifter
vals9 = [{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':1, 'HR':12, 'LAT':85.0, 'LON':0.0, 'SST':5.0, 'PT':7},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':2, 'HR':12, 'LAT':85.0, 'LON':30.0, 'SST':5.0, 'PT':7},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':3, 'HR':12, 'LAT':85.0, 'LON':60.0, 'SST':5.0, 'PT':7},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':4, 'HR':12, 'LAT':85.0, 'LON':90.0, 'SST':5.0, 'PT':7},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':5, 'HR':12, 'LAT':85.0, 'LON':120.0, 'SST':5.0, 'PT':7},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':6, 'HR':12, 'LAT':85.0, 'LON':150.0, 'SST':5.0, 'PT':7},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':7, 'HR':12, 'LAT':85.0, 'LON':180.0, 'SST':5.0, 'PT':7}]
#stationary drifter (gross position errors)
vals10 = [{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':1, 'HR':12, 'LAT':0.0, 'LON':0.0, 'SST':5.0, 'PT':7},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':2, 'HR':12, 'LAT':0.0, 'LON':0.0, 'SST':5.0, 'PT':7},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':3, 'HR':12, 'LAT':50.0, 'LON':0.0, 'SST':5.0, 'PT':7},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':4, 'HR':12, 'LAT':0.0, 'LON':0.0, 'SST':5.0, 'PT':7},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':5, 'HR':12, 'LAT':0.0, 'LON':0.0, 'SST':5.0, 'PT':7},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':6, 'HR':12, 'LAT':50.0, 'LON':0.0, 'SST':5.0, 'PT':7},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':7, 'HR':12, 'LAT':0.0, 'LON':0.0, 'SST':5.0, 'PT':7}]
#too short for QC
vals11 = [{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':1, 'HR':12, 'LAT':0.0, 'LON':0.0, 'SST':5.0, 'PT':7},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':2, 'HR':12, 'LAT':0.0, 'LON':0.0, 'SST':5.0, 'PT':7}]
#assertion error - bad input parameter
vals12 = [{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':1, 'HR':12, 'LAT':0.0, 'LON':0.0, 'SST':5.0, 'PT':7},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':2, 'HR':12, 'LAT':0.0, 'LON':0.0, 'SST':5.0, 'PT':7},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':3, 'HR':12, 'LAT':0.0, 'LON':0.0, 'SST':5.0, 'PT':7},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':4, 'HR':12, 'LAT':0.0, 'LON':0.0, 'SST':5.0, 'PT':7},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':5, 'HR':12, 'LAT':0.0, 'LON':0.0, 'SST':5.0, 'PT':7},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':6, 'HR':12, 'LAT':0.0, 'LON':0.0, 'SST':5.0, 'PT':7},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':7, 'HR':12, 'LAT':0.0, 'LON':0.0, 'SST':5.0, 'PT':7}]
#assertion error - missing observation
vals13 = [{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':1, 'HR':12, 'LAT':0.0, 'LON':0.0, 'SST':5.0, 'PT':7},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':2, 'HR':12, 'LAT':0.0, 'LON':0.0, 'SST':5.0, 'PT':7},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':3, 'HR':12, 'LAT':0.0, 'LON':0.0, 'SST':5.0, 'PT':7},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':4, 'HR':12, 'LAT':0.0, 'LON':0.0, 'SST':5.0, 'PT':7},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':5, 'HR':12, 'LAT':0.0, 'LON':0.0, 'SST':5.0, 'PT':7},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':6, 'HR':12, 'LAT':0.0, 'LON':0.0, 'SST':5.0, 'PT':7},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':7, 'HR':12, 'LAT':0.0, 'LON':0.0, 'SST':5.0, 'PT':7}]
#assertion error - times not sorted
vals14 = [{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':1, 'HR':12, 'LAT':0.0, 'LON':0.0, 'SST':5.0, 'PT':7},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':2, 'HR':12, 'LAT':0.0, 'LON':0.0, 'SST':5.0, 'PT':7},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':3, 'HR':12, 'LAT':0.0, 'LON':0.0, 'SST':5.0, 'PT':7},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':2, 'HR':12, 'LAT':0.0, 'LON':0.0, 'SST':5.0, 'PT':7},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':5, 'HR':12, 'LAT':0.0, 'LON':0.0, 'SST':5.0, 'PT':7},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':6, 'HR':12, 'LAT':0.0, 'LON':0.0, 'SST':5.0, 'PT':7},
{'ID':'AAAAAAAAA', 'YR':2003, 'MO':12, 'DY':7, 'HR':12, 'LAT':0.0, 'LON':0.0, 'SST':5.0, 'PT':7}]
self.reps1 = ex.Voyage()
self.reps2 = ex.Voyage()
self.reps3 = ex.Voyage()
self.reps4 = ex.Voyage()
self.reps5 = ex.Voyage()
self.reps6 = ex.Voyage()
self.reps7 = ex.Voyage()
self.reps8 = ex.Voyage()
self.reps9 = ex.Voyage()
self.reps10 = ex.Voyage()
self.reps11 = ex.Voyage()
self.reps12 = ex.Voyage()
self.reps13 = ex.Voyage()
self.reps14 = ex.Voyage()
for v in vals1:
rec = IMMA()
for key in v:
rec.data[key] = v[key]
rep = ex.MarineReportQC(rec)
self.reps1.add_report(rep)
for v in vals2:
rec = IMMA()
for key in v:
rec.data[key] = v[key]
rep = ex.MarineReportQC(rec)
self.reps2.add_report(rep)
for v in vals3:
rec = IMMA()
for key in v:
rec.data[key] = v[key]
rep = ex.MarineReportQC(rec)
self.reps3.add_report(rep)
for v in vals4:
rec = IMMA()
for key in v:
rec.data[key] = v[key]
rep = ex.MarineReportQC(rec)
self.reps4.add_report(rep)
for v in vals5:
rec = IMMA()
for key in v:
rec.data[key] = v[key]
rep = ex.MarineReportQC(rec)
self.reps5.add_report(rep)
for v in vals6:
rec = IMMA()
for key in v:
rec.data[key] = v[key]
rep = ex.MarineReportQC(rec)
self.reps6.add_report(rep)
for v in vals7:
rec = IMMA()
for key in v:
rec.data[key] = v[key]
rep = ex.MarineReportQC(rec)
self.reps7.add_report(rep)
for v in vals8:
rec = IMMA()
for key in v:
rec.data[key] = v[key]
rep = ex.MarineReportQC(rec)
self.reps8.add_report(rep)
for v in vals9:
rec = IMMA()
for key in v:
rec.data[key] = v[key]
rep = ex.MarineReportQC(rec)
self.reps9.add_report(rep)
for v in vals10:
rec = IMMA()
for key in v:
rec.data[key] = v[key]
rep = ex.MarineReportQC(rec)
self.reps10.add_report(rep)
for v in vals11:
rec = IMMA()
for key in v:
rec.data[key] = v[key]
rep = ex.MarineReportQC(rec)
self.reps11.add_report(rep)
for v in vals12:
rec = IMMA()
for key in v:
rec.data[key] = v[key]
rep = ex.MarineReportQC(rec)
self.reps12.add_report(rep)
for v in vals13:
rec = IMMA()
for key in v:
rec.data[key] = v[key]
rep = ex.MarineReportQC(rec)
self.reps13.add_report(rep)
self.reps13.setvar(1,'LON',None)
for v in vals14:
rec = IMMA()
for key in v:
rec.data[key] = v[key]
rep = ex.MarineReportQC(rec)
self.reps14.add_report(rep)
def tearDown(self):
del self.iquam_parameters
del self.reps1
del self.reps2
del self.reps3
del self.reps4
del self.reps5
del self.reps6
del self.reps7
del self.reps8
del self.reps9
del self.reps10
del self.reps11
del self.reps12
del self.reps13
del self.reps14
# --- original speed check ---
def test_stationary(self):
expected_flags=[0,0,0,0,0,0,0]
tqc.speed_check(self.reps1.reps,2.5,0.5,1.0)
for i in range(0, len(self.reps1)):
self.assertEqual(self.reps1.get_qc(i,'POS','drf_spd'), expected_flags[i])
def test_fast_drifter(self):
expected_flags=[1,1,1,1,1,1,1]
tqc.speed_check(self.reps2.reps,2.5,0.5,1.0)
for i in range(0, len(self.reps2)):
self.assertEqual(self.reps2.get_qc(i,'POS','drf_spd'), expected_flags[i])
def test_slow_drifter(self):
expected_flags=[0,0,0,0,0,0,0]
tqc.speed_check(self.reps3.reps,2.5,0.5,1.0)
for i in range(0, len(self.reps3)):
self.assertEqual(self.reps3.get_qc(i,'POS','drf_spd'), expected_flags[i])
def test_slow_fast_slow_drifter(self):
expected_flags=[0,0,1,1,1,0,0]
tqc.speed_check(self.reps4.reps,2.5,0.5,1.0)
for i in range(0, len(self.reps4)):
self.assertEqual(self.reps4.get_qc(i,'POS','drf_spd'), expected_flags[i])
def test_high_freqency_sampling(self):
expected_flags=[0,0,0,0,0,0,0]
tqc.speed_check(self.reps5.reps,2.5,0.5,1.0)
for i in range(0, len(self.reps5)):
self.assertEqual(self.reps5.get_qc(i,'POS','drf_spd'), expected_flags[i])
def test_low_freqency_sampling(self):
expected_flags=[0,0,0,0,0,0,0]
tqc.speed_check(self.reps6.reps,2.5,0.5,1.0)
for i in range(0, len(self.reps6)):
self.assertEqual(self.reps6.get_qc(i,'POS','drf_spd'), expected_flags[i])
def test_slow_fast_slow_mid_freqency_sampling(self):
expected_flags=[0,1,1,1,1,1,0]
tqc.speed_check(self.reps7.reps,2.5,0.5,1.0)
for i in range(0, len(self.reps7)):
self.assertEqual(self.reps7.get_qc(i,'POS','drf_spd'), expected_flags[i])
def test_irregular_sampling(self):
expected_flags=[1,1,0,0,0,1,1]
tqc.speed_check(self.reps8.reps,2.5,0.5,1.0)
for i in range(0, len(self.reps8)):
self.assertEqual(self.reps8.get_qc(i,'POS','drf_spd'), expected_flags[i])
def test_fast_arctic_drifter(self):
expected_flags=[1,1,1,1,1,1,1]
tqc.speed_check(self.reps9.reps,2.5,0.5,1.0)
for i in range(0, len(self.reps9)):
self.assertEqual(self.reps9.get_qc(i,'POS','drf_spd'), expected_flags[i])
def test_stationary_gross_error(self):
expected_flags=[0,1,1,1,1,1,1]
tqc.speed_check(self.reps10.reps,2.5,0.5,1.0)
for i in range(0, len(self.reps10)):
self.assertEqual(self.reps10.get_qc(i,'POS','drf_spd'), expected_flags[i])
def test_too_short_for_qc(self):
expected_flags=[0,0]
old_stdout = sys.stdout
f = open(os.devnull, 'w')
sys.stdout = f
tqc.speed_check(self.reps11.reps,2.5,0.5,1.0)
sys.stdout = old_stdout
for i in range(0, len(self.reps11)):
self.assertEqual(self.reps11.get_qc(i,'POS','drf_spd'), expected_flags[i])
def test_error_bad_input_parameter(self):
expected_flags=[9,9,9,9,9,9,9]
try:
tqc.speed_check(self.reps12.reps,-2.5,0.5,1.0)
except AssertionError as error:
error_return_text='invalid input parameter: speed_limit must be >= 0'
self.assertEqual(str(error)[0:len(error_return_text)],error_return_text)
for i in range(0, len(self.reps12)):
self.assertEqual(self.reps12.get_qc(i,'POS','drf_spd'), expected_flags[i])
def test_error_missing_observation(self):
expected_flags=[9,9,9,9,9,9,9]
try:
tqc.speed_check(self.reps13.reps,2.5,0.5,1.0)
except AssertionError as error:
error_return_text='problem with report values: Nan(s) found in longitude'
self.assertEqual(str(error)[0:len(error_return_text)],error_return_text)
for i in range(0, len(self.reps13)):
self.assertEqual(self.reps13.get_qc(i,'POS','drf_spd'), expected_flags[i])
def test_error_not_time_sorted(self):
expected_flags=[9,9,9,9,9,9,9]
try: