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Commit b2d45c0c authored by Paolo Veglio's avatar Paolo Veglio
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unit tests for spectral tests functions implemented. some code cleanup

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tests/create_reference_file.py 0 → 100644
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View file @ b2d45c0c
"""Create reference files."""
import logging
import os
import numpy as np
import xarray as xr
from rich.logging import RichHandler
from ruamel.yaml import YAML
import mvcm.spectral_tests as tst
_LOG_FORMAT = "%(message)s"
logging.basicConfig(level="NOTSET", datefmt="[%X]", format=_LOG_FORMAT, handlers=[RichHandler()])
logger = logging.getLogger(__name__)
_scene_list = [
"Land_Day",
"Land_Day_Coast",
"Land_Day_Desert",
"Land_Day_Desert_Coast",
"Ocean_Day",
"Ocean_Night",
"Polar_Day_Ocean",
"Polar_Night_Ocean",
"Polar_Day_Land",
"Polar_Day_Coast",
"Polar_Day_Desert",
"Polar_Day_Desert_Coast",
"Polar_Day_Snow",
"Land_Night",
"Polar_Night_Land",
"Polar_Night_Snow",
"Day_Snow",
"Night_Snow",
]
_threshold_file = "/home/pveglio/mvcm/tests/fixtures/thresholds.mvcm.snpp.v0.0.1.yaml"
_test_path = "/ships19/hercules/pveglio/mvcm_git_tests"
def main() -> None:
"""Create reference file."""
with open(_threshold_file) as f:
text = f.read()
thresholds = YAML(typ="safe").load(text)
output_dict: dict = {}
for scene_name in _scene_list:
logger.info(f"Running tests for {scene_name} \n")
if os.path.isfile(f"{_test_path}/ref_confidence_{scene_name}.nc"):
logger.info(f"Skipping {scene_name}, file already exists")
continue
if not os.path.isfile(f"{_test_path}/test_scene_{scene_name}.nc"):
logger.info(f"Skipping {scene_name}, test file not present in {_test_path}")
continue
viirs_data = xr.open_dataset(f"{_test_path}/test_scene_{scene_name}.nc")
bits = {
"test": np.zeros(viirs_data.M15.shape, dtype=np.int8),
"qa": np.zeros(viirs_data.M15.shape, dtype=np.int8),
}
if np.all(viirs_data[scene_name].values == 0):
logger.info("Skipping, no pixels in scene.")
continue
my_scene = tst.CloudTests(data=viirs_data, scene_name=scene_name, thresholds=thresholds) # type: ignore
# 11um Test
logger.info(f"Running 11um test for {scene_name}")
confidence, bits = my_scene.test_11um("M15", np.ones(viirs_data.M15.shape), bits)
bits, output_dict = update_and_clean(
viirs_data.M15.shape, confidence, bits, output_dict, "11um"
)
# surface_temperature_test() is not performed right now
# SST Test
logger.info(f"Running SST test for {scene_name} \n")
confidence, bits = my_scene.sst_test("M15", "M16", np.ones(viirs_data.M15.shape), bits)
bits, output_dict = update_and_clean(
viirs_data.M15.shape, confidence, bits, output_dict, "sst"
)
# 8.6 - 11 um Test
logger.info(f"Running 8.6 - 11 um test for {scene_name} \n")
confidence, bits = my_scene.bt_diff_86_11um("M14-M15", np.ones(viirs_data.M15.shape), bits)
bits, output_dict = update_and_clean(
viirs_data.M15.shape, confidence, bits, output_dict, "86_11um_diff"
)
# 11 - 12um Test
logger.info(f"Running 11 - 12um test for {scene_name} \n")
confidence, bits = my_scene.test_11_12um_diff(
"M15-M16", np.ones(viirs_data.M15.shape), bits
)
bits, output_dict = update_and_clean(
viirs_data.M15.shape, confidence, bits, output_dict, "11_12um_diff"
)
# 11um Variability Test
logger.info(f"Running 11um variability test for {scene_name} \n")
confidence, bits = my_scene.variability_11um_test(
"M15", np.ones(viirs_data.M15.shape), bits
)
bits, output_dict = update_and_clean(
viirs_data.M15.shape,
confidence,
bits,
output_dict,
"variability_11um",
)
# 11 - 4um Test Ocean
logger.info(f"Running 11 - 4um test for {scene_name} \n")
confidence, bits = my_scene.bt_difference_11_4um_test_ocean(
"M15-M12", np.ones(viirs_data.M15.shape), bits
)
bits, output_dict = update_and_clean(
viirs_data.M15.shape, confidence, bits, output_dict, "11_4um_ocean"
)
# 11 - 4um Test Land
# confidence, bits = my_scene.bt_difference_11_4um_test_land(
# "M15-M12", np.ones(viirs_data.M15.shape), bits
# )
# bits, output_dict = update_and_clean(
# viirs_data.M15.shape, confidence, bits, output_dict, "11_4um_land"
# )
# 11 - 4um Oceanic Stratus Test
logger.info(f"Running 11 - 4um Oceanic Stratus test for {scene_name} \n")
confidence, bits = my_scene.oceanic_stratus_11_4um_test(
"M15-M12", np.ones(viirs_data.M15.shape), bits
)
bits, output_dict = update_and_clean(
viirs_data.M15.shape,
confidence,
bits,
output_dict,
"oceanic_stratus_11_4um",
)
# NIR Reflectance Test
logger.info(f"Running nir reflectance test for {scene_name} \n")
confidence, bits = my_scene.nir_reflectance_test("M07", np.ones(viirs_data.M15.shape), bits)
bits, output_dict = update_and_clean(
viirs_data.M15.shape,
confidence,
bits,
output_dict,
"nir_reflectance",
)
# Vis/NIR Ratio test
logger.info(f"Running vis/nir ratio test for {scene_name} \n")
confidence, bits = my_scene.vis_nir_ratio_test(
"M07-M05ratio", np.ones(viirs_data.M15.shape), bits
)
bits, output_dict = update_and_clean(
viirs_data.M15.shape, confidence, bits, output_dict, "vis_nir_ratio"
)
# 1.6 - 2.1um Test
logger.info(f"Running 1.6 - 2.1um test for {scene_name} \n")
confidence, bits = my_scene.test_16_21um_reflectance(
"M10", np.ones(viirs_data.M15.shape), bits
)
bits, output_dict = update_and_clean(
viirs_data.M15.shape,
confidence,
bits,
output_dict,
"16_21um_reflectance",
)
# Visible Reflectance Test
logger.info(f"Running visible reflectance test for {scene_name} \n")
confidence, bits = my_scene.visible_reflectance_test(
"M05", np.ones(viirs_data.M15.shape), bits
)
bits, output_dict = update_and_clean(
viirs_data.M15.shape, confidence, bits, output_dict, "vis_refl"
)
# GEMI Test
logger.info(f"Running GEMI test for {scene_name} \n")
confidence, bits = my_scene.gemi_test("GEMI", np.ones(viirs_data.M15.shape), bits)
bits, output_dict = update_and_clean(
viirs_data.M15.shape, confidence, bits, output_dict, "gemi"
)
# 1.38 High Clouds Test
logger.info(f"Running 1.38um high clouds test for {scene_name} \n")
confidence, bits = my_scene.test_1_38um_high_clouds(
"M09", np.ones(viirs_data.M15.shape), bits
)
bits, output_dict = update_and_clean(
viirs_data.M15.shape, confidence, bits, output_dict, "high_clouds"
)
# 4 -12um Thin Cirrus Test
logger.info(f"Running 4-12um thin cirrus test for {scene_name} \n")
confidence, bits = my_scene.thin_cirrus_4_12um_BTD_test(
"M13-M16", np.ones(viirs_data.M15.shape), bits
)
bits, output_dict = update_and_clean(
viirs_data.M15.shape, confidence, bits, output_dict, "thin_cirrus"
)
logger.info(f"Saving reference file for scene {scene_name} \n")
output = xr.Dataset.from_dict(output_dict)
output.to_netcdf(f"{_test_path}/ref_confidence_{scene_name}.nc")
def update_and_clean(
shape: tuple, confidence: np.ndarray, bits: dict, output_dict: dict, test_name: str
) -> tuple[dict, dict]:
"""Update and clean output dictionary."""
output_dict[f"confidence_{test_name}"] = {"dims": ("x", "y"), "data": confidence}
output_dict[f"qa_bit_{test_name}"] = {"dims": ("x", "y"), "data": bits["qa"]}
output_dict[f"test_bit_{test_name}"] = {"dims": ("x", "y"), "data": bits["test"]}
bits = {
"test": np.zeros(shape, dtype=np.int8),
"qa": np.zeros(shape, dtype=np.int8),
}
return bits, output_dict
if __name__ == "__main__":
main()
tests/create_test_file.py
+ 30
− 16
View file @ b2d45c0c
"""Create test files."""
# import os.path
# from glob import glob
import logging
from os.path import exists
import numpy as np
import numpy.typing as npt
import xarray as xr
from rich.logging import RichHandler
from ruamel.yaml import YAML
import mvcm.read_data as rd
_LOG_FORMAT = "%(message)s"
logging.basicConfig(level="NOTSET", datefmt="[%X]", format=_LOG_FORMAT, handlers=[RichHandler()])
logger = logging.getLogger(__name__)
# #################################################################### #
# TEST CASES
# data:
_datapath = "/ships19/hercules/pveglio/mvcm_viirs_hires"
_outpath = "/ships19/hercules/pveglio/mvcm_git_tests"
_thresholds_file = f"{_outpath}/thresholds.mvcm.snpp.v0.0.1.yaml"
# The following sets of files try to cover all the possible scenes found
# in the mvcm. the list of scenes per granule is reported on top of every
......@@ -26,8 +33,8 @@ _outpath = "/ships19/hercules/pveglio/mvcm_git_tests"
# - Land_Day_Desert
# - Land_Day
# - Ocean_Day
_fname_mod02 = f"{_datapath}/VNP02MOD.A2022173.1312.001.2022174011547.uwssec_bowtie_corrected.nc"
_fname_mod03 = f"{_datapath}/VNP03MOD.A2022173.1312.001.2022174012746.uwssec.nc"
# _fname_mod02 = f"{_datapath}/VNP02MOD.A2022173.1312.001.2022174011547.uwssec_bowtie_corrected.nc"
# _fname_mod03 = f"{_datapath}/VNP03MOD.A2022173.1312.001.2022174012746.uwssec.nc"
# _fname_img02 = f"{_datapath}/VNP02IMG.A2022173.1312.001.2022174011547.uwssec_bowtie_corrected.nc"
# _fname_img03 = f"{_datapath}/VNP03IMG.A2022173.1312.001.2022174012746.uwssec.nc"
......@@ -37,8 +44,8 @@ _fname_mod03 = f"{_datapath}/VNP03MOD.A2022173.1312.001.2022174012746.uwssec.nc"
# - Polar_Day_Desert_Coast
# - Polar_Day_Desert
# - Polar_Day_Ocean
# _fname_mod02 = f"{_datapath}/VNP02MOD.A2022173.1324.001.2022174014257.uwssec_bowtie_corrected.nc"
# _fname_mod03 = f"{_datapath}/VNP03MOD.A2022173.1324.001.2022174012743.uwssec.nc"
_fname_mod02 = f"{_datapath}/VNP02MOD.A2022173.1324.001.2022174014257.uwssec_bowtie_corrected.nc"
_fname_mod03 = f"{_datapath}/VNP03MOD.A2022173.1324.001.2022174012743.uwssec.nc"
# _fname_img02 = f"{_datapath}/VNP02IMG.A2022173.1324.001.2022174014257.uwssec_bowtie_corrected.nc"
# _fname_img03 = f"{_datapath}/VNP03IMG.A2022173.1324.001.2022174012743.uwssec.nc"
......@@ -51,14 +58,14 @@ _fname_mod03 = f"{_datapath}/VNP03MOD.A2022173.1312.001.2022174012746.uwssec.nc"
_out_fname = f"{_outpath}/test_scene"
# ancillary files:
_geos_atm_1 = "GEOS.fpit.asm.inst3_2d_asm_Nx.GEOS5124.20220622_1200.V01.nc4"
_geos_atm_2 = "GEOS.fpit.asm.inst3_2d_asm_Nx.GEOS5124.20220622_1500.V01.nc4"
_geos_land = "GEOS.fpit.asm.tavg1_2d_lnd_Nx.GEOS5124.20220622_1330.V01.nc4"
_geos_ocean = "GEOS.fpit.asm.tavg1_2d_ocn_Nx.GEOS5124.20220622_1330.V01.nc4"
_geos_constants = "GEOS.fp.asm.const_2d_asm_Nx.00000000_0000.V01.nc4"
_ndvi_file = "NDVI.FM.c004.v2.0.WS.00-04.177.hdf"
_sst_file = "oisst.20220622"
_eco_file = "goge1_2_img.v1"
_geos_atm_1 = f"{_datapath}/GEOS.fpit.asm.inst3_2d_asm_Nx.GEOS5124.20220622_1200.V01.nc4"
_geos_atm_2 = f"{_datapath}/GEOS.fpit.asm.inst3_2d_asm_Nx.GEOS5124.20220622_1500.V01.nc4"
_geos_land = f"{_datapath}/GEOS.fpit.asm.tavg1_2d_lnd_Nx.GEOS5124.20220622_1330.V01.nc4"
_geos_ocean = f"{_datapath}/GEOS.fpit.asm.tavg1_2d_ocn_Nx.GEOS5124.20220622_1330.V01.nc4"
_geos_constants = f"{_datapath}/GEOS.fp.asm.const_2d_asm_Nx.00000000_0000.V01.nc4"
_ndvi_file = f"{_datapath}/NDVI.FM.c004.v2.0.WS.00-04.177.hdf"
_sst_file = f"{_datapath}/oisst.20220622"
_eco_file = f"{_datapath}/goge1_2_img.v1"
# #################################################################### #
......@@ -127,6 +134,7 @@ def write_test_file() -> None:
def main(
mod02: str,
mod03: str,
thresholds_file: str,
geos_atm_1: str,
geos_atm_2: str,
geos_land: str,
......@@ -155,12 +163,15 @@ def main(
"ANC_DIR": f"{data_path}/ancillary",
}
viirs_data = rd.get_data("snpp", "viirs", file_names, hires=False)
with open(thresholds_file) as f:
text = f.read()
thresholds = YAML(typ="safe").load(text)
viirs_data = rd.get_data("snpp", "viirs", file_names, thresholds, hires=False)
out_ds = xr.Dataset()
for scene in _scene_list:
print(f"scene: {scene}")
logger.info(f"scene: {scene}")
if exists(f"{out_fname}_{scene}.nc"):
continue
if len(viirs_data[scene].values[viirs_data[scene].values == 1]) < _default_scene_size:
......@@ -189,6 +200,8 @@ def main(
for var in viirs_data:
sample_data[var] = viirs_data[var][scn_idx[0], scn_idx[1]]
sample_data.attrs["scene_name"] = scene
out_ds = sample_data
out_ds.to_netcdf(f"{out_fname}_{scene}.nc")
......@@ -197,6 +210,7 @@ if __name__ == "__main__":
main(
mod02=_fname_mod02,
mod03=_fname_mod03,
thresholds_file=_thresholds_file,
geos_atm_1=_geos_atm_1,
geos_atm_2=_geos_atm_2,
geos_land=_geos_land,
......
tests/fixtures/thresholds.mvcm.snpp.v0.0.1.yaml
+ 43
− 33
View file @ b2d45c0c
......@@ -270,10 +270,10 @@ Polar_Day_Land:
coeffs: [3.0, 1.0]
cmult: 0.3
adj: 0.3
perform: True
perform: False
11-4um_Oceanic_Stratus_Test:
thr: [-16.0, -14.0, -12.0, 1.0, 1.0]
perform: True
perform: False
pdlh20: [215.0, 220.0, 225.0, 1.0, 1.0]
Visible_Reflectance_Test:
thr: [0.207, 0.169, 0.132, 1.0, 1.0]
......@@ -339,10 +339,10 @@ Polar_Day_Coast:
coeffs: [3.0, 1.0]
cmult: 0 # I NEED TO WORK ON THIS
adj: 0 # I NEED TO WORK ON THIS
perform: True
perform: False
11-4um_Oceanic_Stratus_Test:
thr: [-16.0, -14.0, -12.0, 1.0, 1.0]
perform: True
perform: False
Water_Vapor_High_Clouds_Test: [215.0, 220.0, 225.0, 1.0, 1.0]
Visible_Reflectance_Test:
thr: [0.207, 0.169, 0.132, 1.0, 1.0]
......@@ -358,11 +358,11 @@ Polar_Day_Desert:
coeffs: [3.5, 1.0]
cmult: 0 # I NEED TO WORK ON THIS
adj: 0 # I NEED TO WORK ON THIS
perform: True
perform: False
11-4um_Oceanic_Stratus_Test:
# thr: [-22.0, -20.0, -18.0, -2.0, 0.0, 2.0, 1.0, 1.0]
thr: [2.0, 0.0, -2.0, -18.0, -20.0, -22.0, 1.0, 1.0]
perform: True # I disable this test while I figure out if I need
perform: False # I disable this test while I figure out if I need
bt_cutoff: 320.0 # the bt_cutoff parameter
Water_Vapor_High_Clouds_Test: [215.0, 220.0, 225.0, 1.0, 1.0]
Visible_Reflectance_Test:
......@@ -384,11 +384,11 @@ Polar_Day_Desert_Coast:
coeffs: [3.5, 1.0]
cmult: 0 # I NEED TO WORK ON THIS
adj: 0 # I NEED TO WORK ON THIS
perform: True
perform: False
11-4um_Oceanic_Stratus_Test:
# thr: [-23.0, -21.0, -19.0, -2.0, 0.0, 2.0, 1.0, 1.0]
thr: [2.0, 0.0, -2.0, -19.0, -21.0, -23.0, 1.0, 1.0]
perform: True # see Polar_Day_Desert
perform: False # see Polar_Day_Desert
bt_cutoff: 320.0
Water_Vapor_High_Clouds_Test: [215.0, 220.0, 225.0, 1.0, 1.0]
Visible_Reflectance_Test:
......@@ -405,21 +405,22 @@ Polar_Day_Snow:
coeffs: [3.0, 1.0]
cmult: 0 # I NEED TO WORK ON THIS
adj: 0 # I NEED TO WORK ON THIS
perform: True
dpsbt1: 230.0
perform: False
Water_Vapor_High_Clouds_Test: [215.0, 220.0, 225.0, 1.0, 1.0]
1.38um_High_Cloud_Test:
thr: [0.060, 0.0525, 0.045, 1.0, 1.0]
tpw: 0.75
perform: True
11-4um_BT_Difference_Test_Land:
# 11-4um_BT_Difference_Test_Land:
11-4um_Oceanic_Stratus_Test:
low: [20.0, 18.0, 16.0, 1.0]
mid1: [18.0, 16.0, 2.0, 1.0]
mid2: [0.0, 0.0, 0.0, 0.0]
mid3: [0.0, 0.0, 0.0, 0.0]
high: [18.0, 16.0, 14.0, 1.0]
bt_11_bounds: [230.0, 0.0, 0.0, 245.0]
perform: True
bt11_bounds: [230.0, 0.0, 0.0, 245.0]
bt_cutoff: 230.0
perform: False
dps11_12adj: 0.8
Polar_Night_Snow:
......@@ -435,7 +436,7 @@ Polar_Night_Snow:
mid2: [0.00, 0.00, 0.00, 0.0] # pn_4_12m2
mid3: [0.00, 0.00, 0.00, 0.0] # pn_4_12m3
high: [2.50, 2.00, 1.50, 1.0] # pn_4_12h
bt11_bounds: [235.0, 0.0, 0.0, 265.0] # bt_11_bounds
bt11_bounds: [235.0, 0.0, 0.0, 265.0] # bt11_bounds
perform: True
7.3-11um_BTD_Mid_Level_Cloud_Test:
low: [-1.00, 0.00, 1.00, 1.0, 1.0] # pn_7_11l
......@@ -479,12 +480,12 @@ Polar_Day_Ocean:
perform: True
8.6-11um_Test:
thr: [-0.50, -1.00, -1.50, 1.0, 1.0]
perform: True
perform: False
11-12um_Cirrus_Test:
coeffs: [3.0, 1.0]
cmult: 0.3
adj: 1.25
perform: True
perform: False
NIR_Reflectance_Test:
thr: [0.062, 0.043, 0.029, 1.0, 1.0]
coeffs: [1.7291, 0.0715, -0.0026, 0.000025889]
......@@ -514,7 +515,7 @@ Polar_Day_Ocean:
perform: True
11-4um_Oceanic_Stratus_Test:
thr: [-11.0, -9.0, -7.0, 1.0, 1.0]
perform: True
perform: False
Water_Vapor_High_Clouds_Test: [215.0, 220.0, 225.0, 1.0, 1.0]
pdo_b26pfm: 1.0
pdo_b2bias_adj: 0.96
......@@ -566,7 +567,7 @@ Day_Snow:
11-12um_Cirrus_Test:
coeffs: [3.0, 1.0]
cmult: 0.3
adj: 0 # I NEED TO WORK ON THIS
adj: 0.8
perform: True
CO2_High_Clouds_Test: [222.0, 224.0, 226.0, 1.0, 1.0]
Water_Vapor_High_Clouds_Test: [215.0, 220.0, 225.0, 1.0, 1.0]
......@@ -574,13 +575,22 @@ Day_Snow:
thr: [0.060, 0.0525, 0.045, 1.0, 1.0]
tpw: 0.75
perform: True
11-4um_BT_Difference_Test_Land:
# 11-4um_BT_Difference_Test_Land:
# low: [20.0, 18.0, 16.0, 1.0]
# mid1: [18.0, 16.0, 2.0, 1.0]
# mid2: [0.0, 0.0, 0.0, 0.0]
# mid3: [0.0, 0.0, 0.0, 0.0]
# high: [18.0, 16.0, 14.0, 1.0]
# bt11_bounds: [230.0, 0.0, 0.0, 245.0]
# perform: True
11-4um_Oceanic_Stratus_Test:
low: [20.0, 18.0, 16.0, 1.0]
mid1: [18.0, 16.0, 2.0, 1.0]
mid2: [0.0, 0.0, 0.0, 0.0]
mid3: [0.0, 0.0, 0.0, 0.0]
high: [18.0, 16.0, 14.0, 1.0]
bt_11_bounds: [230.0, 0.0, 0.0, 245.0]
bt11_bounds: [230.0, 0.0, 0.0, 245.0]
bt_cutoff: 230.0
perform: True
ds11_12adj: 0.8
ds11_12lcmult: 0.3
......@@ -605,7 +615,7 @@ Night_Snow:
mid2: [0.0, 0.0, 0.0, 0.0]
mid3: [0.0, 0.0, 0.0, 0.0]
high: [18.0, 16.0, 14.0, 1.0]
bt_11_bounds: [230.0, 0.0, 0.0, 245.0]
bt11_bounds: [230.0, 0.0, 0.0, 245.0]
bt_thr: 230.0
tpw_thr: 0.2
perform: True
......@@ -679,18 +689,18 @@ Night_Snow_Inversion:
n65_11: [10.0, 1.0]
Snow_Mask:
sm_bt11: 280.0
sm_ndsi: 0.31
Grnlnd_ndsi: 0.66
sm_ref2: 0.1056
sm85_11: 0.0
sm85_11hel: 1.5
sm37_11: 11.0
sm37_11hel: 16.0
sm_mnir: 0.196
sm_lsfcdif: 20.0
sm_wsfcdif: 20.0
sm_bt1: 273.0
bt11: 280.0
ndsi: 0.31
greenland_ndsi: 0.66
ref2: 0.1056
diff85_11: 0.0
diff85_11hel: 1.5
diff37_11: 11.0
diff37_11hel: 16.0
mnir: 0.196
lsfcdif: 20.0
wsfcdif: 20.0
bt1: 273.0
prd_ndvi_const: -0.2015
Coastal_NDVI_Thresholds:
......
tests/test_conf.py
+ 12
− 10
View file @ b2d45c0c
......@@ -70,19 +70,21 @@ def test_c_single_threshold(rad, single_threshold, reference_data):
ref_confidence = np.load(reference_data)["ref_sgl"]
ref_confidence_flipped = np.load(reference_data)["ref_sgl_flipped"]
locut = np.array(single_threshold[0], dtype=float)
midpt = np.array(single_threshold[1], dtype=float)
hicut = np.array(single_threshold[2], dtype=float)
power = np.array(single_threshold[3], dtype=float)
locut = np.full(np.shape(rad), single_threshold[0], dtype=np.float32)
midpt = np.full(np.shape(rad), single_threshold[1], dtype=np.float32)
hicut = np.full(np.shape(rad), single_threshold[2], dtype=np.float32)
power = np.full(np.shape(rad), single_threshold[3], dtype=np.float32)
c = anc.py_conf_test(np.array(rad, dtype=np.float32), locut, hicut, power, midpt)
assert np.all(c == ref_confidence)
# NOTE: I have to use allclose() because the ref_confidence has been computed with doouble
# precision and the C version returns single precision, which has some rounding differences
assert np.allclose(c, ref_confidence)
single_threshold[0:-1] = single_threshold[-2::-1]
locut = np.array(single_threshold[0], dtype=float)
midpt = np.array(single_threshold[1], dtype=float)
hicut = np.array(single_threshold[2], dtype=float)
power = np.array(single_threshold[3], dtype=float)
locut = np.full(np.shape(rad), single_threshold[0], dtype=np.float32)
midpt = np.full(np.shape(rad), single_threshold[1], dtype=np.float32)
hicut = np.full(np.shape(rad), single_threshold[2], dtype=np.float32)
power = np.full(np.shape(rad), single_threshold[3], dtype=np.float32)
c = anc.py_conf_test(np.array(rad, dtype=np.float32), locut, hicut, power, midpt)
assert np.all(c == ref_confidence_flipped)
assert np.allclose(c, ref_confidence_flipped)
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