def test_flo_bback_total(self):
"""
Test flo_bback_total function.
Values based on those described in DPS as available on Alfresco:
OOI (2012). Data Product Specification for Optical Backscatter (Red
Wavelengths). Document Control Number 1341-00540.
https://alfresco.oceanobservatories.org/ (See: Company Home >> OOI
>> Controlled >> 1000 System Level >>
1341-00540_Data_Product_SPEC_FLUBSCT_OOI.pdf)
Implemented by Christopher Wingard, April 2013
Modified by Russell Desiderio, October 26, 2015. Default values for theta,
wlngth, and xfactor have been removed from the DPA argument list
necessitating their inclusion in the call to flo_bback_total in the
unit test.
"""
counts_output = np.array([55, 57, 55, 56, 54, 54, 55, 54, 55, 56, 55])
counts_dark = np.ones(11) * 47
scale_factor = np.ones(11) * 3.058e-6
beta = flofunc.flo_beta(counts_output, counts_dark, scale_factor)
# set known outputs (adjusted to account for incorrect DPS wherein test
# values were computed using different formula and Chi (X) Factor).
bback = np.array([
0.000171, 0.000213, 0.000171, 0.000192, 0.000151, 0.000151,
0.000171, 0.000151, 0.000171, 0.000192, 0.000171
])
# set default constants
degC = np.ones(11) * 20.0
psu = np.ones(11) * 32.0
theta = np.ones(11) * 117.0
wlngth = np.ones(11) * 700.0
xfactor = np.ones(11) * 1.08
# calculate the total optical backscatter
bbout = flofunc.flo_bback_total(beta, degC, psu, theta, wlngth,
xfactor)
# How'd we do?
np.testing.assert_allclose(bbout, bback, rtol=1e-6, atol=1e-6)
def test_flo_bback_total(self):
"""
Test flo_bback_total function.
Values based on those described in DPS as available on Alfresco:
OOI (2012). Data Product Specification for Optical Backscatter (Red
Wavelengths). Document Control Number 1341-00540.
https://alfresco.oceanobservatories.org/ (See: Company Home >> OOI
>> Controlled >> 1000 System Level >>
1341-00540_Data_Product_SPEC_FLUBSCT_OOI.pdf)
Implemented by Christopher Wingard, April 2013
Modified by Russell Desiderio, October 26, 2015. Default values for theta,
wlngth, and xfactor have been removed from the DPA argument list
necessitating their inclusion in the call to flo_bback_total in the
unit test.
"""
counts_output = np.array([
55, 57, 55, 56, 54, 54, 55, 54, 55, 56, 55
])
counts_dark = np.ones(11) * 47
scale_factor = np.ones(11) * 3.058e-6
beta = flofunc.flo_beta(counts_output, counts_dark, scale_factor)
# set known outputs (adjusted to account for incorrect DPS wherein test
# values were computed using different formula and Chi (X) Factor).
bback = np.array([0.000171, 0.000213, 0.000171, 0.000192,
0.000151, 0.000151, 0.000171, 0.000151,
0.000171, 0.000192, 0.000171])
# set default constants
degC = np.ones(11) * 20.0
psu = np.ones(11) * 32.0
theta = np.ones(11) * 117.0
wlngth = np.ones(11) * 700.0
xfactor = np.ones(11) * 1.08
# calculate the total optical backscatter
bbout = flofunc.flo_bback_total(beta, degC, psu, theta, wlngth, xfactor)
# How'd we do?
np.testing.assert_allclose(bbout, bback, rtol=1e-6, atol=1e-6)
def setUp(self):
# set test inputs
### optical backscatter ###
self.scat_counts = 55
self.scat_dark = 47
self.scat_scale = 3.058e-6
self.beta = fl.flo_beta(self.scat_counts, self.scat_dark, self.scat_scale)
self.degC = 20.0
self.psu = 32.0
### chla ###
self.chla_counts = 55
self.chla_dark = 45
self.chla_scale = 0.0121
### cdom ###
self.cdom_counts = 55
self.cdom_dark = 48
self.cdom_scale = 0.0848
def setUp(self):
# set test inputs
### optical backscatter ###
self.scat_counts = 55
self.scat_dark = 47
self.scat_scale = 3.058e-6
self.beta = fl.flo_beta(self.scat_counts, self.scat_dark,
self.scat_scale)
self.degC = 20.0
self.psu = 32.0
### chla ###
self.chla_counts = 55
self.chla_dark = 45
self.chla_scale = 0.0121
### cdom ###
self.cdom_counts = 55
self.cdom_dark = 48
self.cdom_scale = 0.0848
