def test_opt_ocr507_irradiance(self):
"""
Test opt_ocr507_irradiance function.
Values calculated using data product algorithm in the DPS in an excel spreadsheet
as available on Alfresco:
OOI (2014). Data Product Specification for Downwelling Spectral Irradiance.
Document Control Number 1341-00730. https://alfresco.oceanobservatories.org/
(See: Company Home >> OOI >> Controlled >> 1000 System Level >>
1341-00730__???.pdf)
OOI (2014). SPECTIR Unit Test. 1341-00730_SPECTIR Artifact.
https://alfresco.oceanobservatories.org/ (See: Company Home >> OOI >>
>> REFERENCE >> Data Product Specification Artifacts >> 1341-00730_SPECTIR >>
SPKIR_SPECTIR_unit_test.xlsx)
Implemented by Russell Desiderio, March 14, 2014.
Modified by Russell Desiderio, March 25, 2014. Transposed test array.
Set known output to be 2D row vector.
"""
# counts offset scale mrsn Ed
test_array = np.transpose(np.array([
[2148370944, 2148377867.8, 2.09023117662E-07, 1.368, -0.002],
[2200000000, 2148218092.4, 2.06543624674E-07, 1.410, 15.080],
[2300000000, 2147607229.7, 2.12484770952E-07, 1.365, 44.200],
[2400000000, 2147789959.1, 2.07241106309E-07, 1.354, 70.771],
[2500000000, 2148047456.7, 1.99358530187E-07, 1.372, 96.266],
[2600000000, 2147335412.8, 2.06033896796E-07, 1.404, 130.943],
[2700000000, 2146998228.4, 2.14806273478E-07, 1.347, 160.008]
]))
# set inputs
counts = test_array[0, :]
offset = test_array[1, :]
scale = test_array[2, :]
immersion_factor = test_array[3, :]
# set known output
Ed = np.atleast_2d(test_array[-1, :])
# calculate the downwelling irradiance
Ed_out = optfunc.opt_ocr507_irradiance(counts, offset, scale, immersion_factor)
###########################################################################
# The (unfinished) DPS specifies a precision of 0.25 uW/cm^2/nm
np.testing.assert_allclose(Ed_out, Ed, rtol=0.01, atol=0.1)
def test_opt_ocr507_irradiance(self):
"""
Test opt_ocr507_irradiance function.
Values calculated using data product algorithm in the DPS in an excel spreadsheet
as available on Alfresco:
OOI (2014). Data Product Specification for Downwelling Spectral Irradiance.
Document Control Number 1341-00730. https://alfresco.oceanobservatories.org/
(See: Company Home >> OOI >> Controlled >> 1000 System Level >>
1341-00730__???.pdf)
OOI (2014). SPECTIR Unit Test. 1341-00730_SPECTIR Artifact.
https://alfresco.oceanobservatories.org/ (See: Company Home >> OOI >>
>> REFERENCE >> Data Product Specification Artifacts >> 1341-00730_SPECTIR >>
SPKIR_SPECTIR_unit_test.xlsx)
Implemented by Russell Desiderio, March 14, 2014.
Modified by Russell Desiderio, March 25, 2014.
Transposed test array.
Set known output to be 2D row vector.
Modified by Russell Desiderio, April 09, 2015.
Added unit tests for multiple data packets and exception checking
Set known output for 1 data packet case to be 1D array.
Modified by Russell Desiderio, April 21, 2015.
Conditioned inputs for 1 data packet case to be 2D row vectors.
Set known output for 1 data packet case back to 2D row vector.
"""
# counts offset scale mrsn Ed
test_array = np.transpose(
np.array([
[2148370944, 2148377867.8, 2.09023117662E-07, 1.368, -0.00198],
[2200000000, 2148218092.4, 2.06543624674E-07, 1.410, 15.080],
[2300000000, 2147607229.7, 2.12484770952E-07, 1.365, 44.200],
[2400000000, 2147789959.1, 2.07241106309E-07, 1.354, 70.771],
[2500000000, 2148047456.7, 1.99358530187E-07, 1.372, 96.266],
[2600000000, 2147335412.8, 2.06033896796E-07, 1.404, 130.943],
[2700000000, 2146998228.4, 2.14806273478E-07, 1.347, 160.008]
]))
## one data packet case
# set inputs
counts = test_array[[0], :]
offset = test_array[[1], :]
scale = test_array[[2], :]
immersion_factor = test_array[[3], :]
# set known output to be a 2D row vector
Ed = test_array[[-1], :]
#print Ed.shape
# calculate the downwelling irradiance
Ed_out = optfunc.opt_ocr507_irradiance(counts, offset, scale,
immersion_factor)
###########################################################################
# The DPS specifies a precision of 0.25 uW/cm^2/nm
np.testing.assert_allclose(Ed_out, Ed, rtol=0.0, atol=0.1)
###########################################################################
## multiple data packets case
## cal coeffs will also be "time-vectorized" by CI
# create 10 data packets
z_value = 10
zcounts = np.tile(counts, (z_value, 1))
zoffset = np.tile(offset, (z_value, 1))
zscale = np.tile(scale, (z_value, 1))
zimmersion_factor = np.tile(immersion_factor, (z_value, 1))
# set known output
zEd = np.tile(Ed, (z_value, 1))
#print Ed.shape
# calculate the downwelling irradiance
zEd_out = optfunc.opt_ocr507_irradiance(zcounts, zoffset, zscale,
zimmersion_factor)
###########################################################################
# The DPS specifies a precision of 0.25 uW/cm^2/nm
np.testing.assert_allclose(zEd_out, zEd, rtol=0.0, atol=0.1)
###########################################################################
## test error-checking
# data array counts does not have 7 elements
counts_wrongshape = test_array[0, 0:-1]
np.testing.assert_raises(ValueError, optfunc.opt_ocr507_irradiance,
counts_wrongshape, offset, scale,
immersion_factor)
# cal coeff scale does not have 7 elements
scale_wrongshape = test_array[2, 0:-1]
np.testing.assert_raises(ValueError, optfunc.opt_ocr507_irradiance,
counts, offset, scale_wrongshape,
immersion_factor)
def test_opt_ocr507_irradiance(self):
"""
Test opt_ocr507_irradiance function.
Values calculated using data product algorithm in the DPS in an excel spreadsheet
as available on Alfresco:
OOI (2014). Data Product Specification for Downwelling Spectral Irradiance.
Document Control Number 1341-00730. https://alfresco.oceanobservatories.org/
(See: Company Home >> OOI >> Controlled >> 1000 System Level >>
1341-00730__???.pdf)
OOI (2014). SPECTIR Unit Test. 1341-00730_SPECTIR Artifact.
https://alfresco.oceanobservatories.org/ (See: Company Home >> OOI >>
>> REFERENCE >> Data Product Specification Artifacts >> 1341-00730_SPECTIR >>
SPKIR_SPECTIR_unit_test.xlsx)
Implemented by Russell Desiderio, March 14, 2014.
Modified by Russell Desiderio, March 25, 2014.
Transposed test array.
Set known output to be 2D row vector.
Modified by Russell Desiderio, April 09, 2015.
Added unit tests for multiple data packets and exception checking
Set known output for 1 data packet case to be 1D array.
Modified by Russell Desiderio, April 21, 2015.
Conditioned inputs for 1 data packet case to be 2D row vectors.
Set known output for 1 data packet case back to 2D row vector.
"""
# counts offset scale mrsn Ed
test_array = np.transpose(np.array([
[2148370944, 2148377867.8, 2.09023117662E-07, 1.368, -0.00198],
[2200000000, 2148218092.4, 2.06543624674E-07, 1.410, 15.080],
[2300000000, 2147607229.7, 2.12484770952E-07, 1.365, 44.200],
[2400000000, 2147789959.1, 2.07241106309E-07, 1.354, 70.771],
[2500000000, 2148047456.7, 1.99358530187E-07, 1.372, 96.266],
[2600000000, 2147335412.8, 2.06033896796E-07, 1.404, 130.943],
[2700000000, 2146998228.4, 2.14806273478E-07, 1.347, 160.008]
]))
## one data packet case
# set inputs
counts = test_array[[0], :]
offset = test_array[[1], :]
scale = test_array[[2], :]
immersion_factor = test_array[[3], :]
# set known output to be a 2D row vector
Ed = test_array[[-1], :]
#print Ed.shape
# calculate the downwelling irradiance
Ed_out = optfunc.opt_ocr507_irradiance(counts, offset, scale, immersion_factor)
###########################################################################
# The DPS specifies a precision of 0.25 uW/cm^2/nm
np.testing.assert_allclose(Ed_out, Ed, rtol=0.0, atol=0.1)
###########################################################################
## multiple data packets case
## cal coeffs will also be "time-vectorized" by CI
# create 10 data packets
z_value = 10
zcounts = np.tile(counts, (z_value, 1))
zoffset = np.tile(offset, (z_value, 1))
zscale = np.tile(scale, (z_value, 1))
zimmersion_factor = np.tile(immersion_factor, (z_value, 1))
# set known output
zEd = np.tile(Ed, (z_value, 1))
#print Ed.shape
# calculate the downwelling irradiance
zEd_out = optfunc.opt_ocr507_irradiance(zcounts, zoffset, zscale, zimmersion_factor)
###########################################################################
# The DPS specifies a precision of 0.25 uW/cm^2/nm
np.testing.assert_allclose(zEd_out, zEd, rtol=0.0, atol=0.1)
###########################################################################
## test error-checking
# data array counts does not have 7 elements
counts_wrongshape = test_array[0, 0:-1]
np.testing.assert_raises(ValueError, optfunc.opt_ocr507_irradiance, counts_wrongshape,
offset, scale, immersion_factor)
# cal coeff scale does not have 7 elements
scale_wrongshape = test_array[2, 0:-1]
np.testing.assert_raises(ValueError, optfunc.opt_ocr507_irradiance, counts, offset,
scale_wrongshape, immersion_factor)
