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Commit e95f8ce1 authored by Wei Chengliang's avatar Wei Chengliang
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append unittest

parent 96e13f5a
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ObservationSim/Instrument/Chip/libCTI/CTI_modeling.py
View file @ e95f8ce1
......@@ -81,6 +81,7 @@ def CTI_sim(im,nx,ny,noverscan,nsp,nmax,beta,w,c,t,rho_trap,trap_seeds,release_s
image_cti_result[i,j] = image_cti_p[i][j]
return image_cti_result.T
"""
if __name__ =='__main__':
nx,ny,noverscan,nsp,nmax = 4608,4616,84,3,10
ntotal = 4700
......@@ -94,3 +95,4 @@ if __name__ =='__main__':
bin2fits("trap.bin",".",nsp,nx,ny,nmax)
image_cti = CTI_sim(image,nx,ny,noverscan,nsp,nmax,beta,w,c,t,rho_trap,trap_seeds,release_seed)
fits.writeto("output/image_CTI.fits",data=image_cti,overwrite=True)
"""
ObservationSim/PSF/PSFInterp.py
View file @ e95f8ce1
......@@ -15,7 +15,6 @@ import h5py
from ObservationSim.PSF.PSFModel import PSFModel
LOG_DEBUG = False #***#
NPSF = 900 #***# 30*30
PixSizeInMicrons = 5. #***# in microns
......@@ -205,8 +204,9 @@ def psfMaker_IDW(px, py, PSFMat, cen_col, cen_row, IDWindex=2, OnlyNeighbors=Tru
###define PSFInterp###
class PSFInterp(PSFModel):
def __init__(self, chip, npsf=NPSF, PSF_data=None, PSF_data_file=None, PSF_data_prefix="", sigSpin=0, psfRa=0.15, HocBuild=False):
if LOG_DEBUG:
def __init__(self, chip, npsf=NPSF, PSF_data=None, PSF_data_file=None, PSF_data_prefix="", sigSpin=0, psfRa=0.15, HocBuild=False, LOG_DEBUG=False):
self.LOG_DEBUG = LOG_DEBUG
if self.LOG_DEBUG:
print('===================================================')
print('DEBUG: psf module for csstSim ' \
+time.strftime("(%Y-%m-%d %H:%M:%S)", time.localtime()), flush=True)
......@@ -225,7 +225,7 @@ class PSFInterp(PSFModel):
self.npsf = npsf
self.PSF_data = self._loadPSF(self.iccd, PSF_data_file, PSF_data_prefix)
if LOG_DEBUG:
if self.LOG_DEBUG:
print('nwave-{:} on ccd-{:}::'.format(self.nwave, self.iccd), flush=True)
print('self.PSF_data ... ok', flush=True)
print('Preparing self.[psfMat,cen_col,cen_row] for psfMaker ... ', end='', flush=True)
......@@ -252,7 +252,7 @@ class PSFInterp(PSFModel):
self.hoc.append(hoc)
self.hoclist.append(hoclist)
if LOG_DEBUG:
if self.LOG_DEBUG:
print('ok', flush=True)
......@@ -292,7 +292,7 @@ class PSFInterp(PSFModel):
psfSet.append(psfWave)
fq.close()
if LOG_DEBUG:
if self.LOG_DEBUG:
print('psfSet has been loaded:', flush=True)
print('psfSet[iwave][ipsf][keys]:', psfSet[0][0].keys(), flush=True)
return psfSet
......@@ -342,6 +342,7 @@ class PSFInterp(PSFModel):
assert(self.hoc != 0), 'hoclist should be built correctly!'
imPSF = psfMaker_IDW(px, py, PSFMat, cen_col, cen_row, IDWindex=2, OnlyNeighbors=True, hoc=self.hoc[twave], hoclist=self.hoclist[twave], PSFCentroidWgt=True)
'''
############TEST: START
TestGaussian = False
if TestGaussian:
......@@ -349,6 +350,7 @@ class PSFInterp(PSFModel):
#pointing_pa = -23.433333
imPSF= gsx.shear(g1=0.8, g2=0.).rotate(0.*galsim.degrees).drawImage(nx = 256, ny=256, scale=pixSize).array
############TEST: END
'''
if galsimGSObject:
imPSFt = np.zeros([257,257])
......@@ -370,6 +372,7 @@ class PSFInterp(PSFModel):
return self.psf, galsim.Shear(e=0., beta=(np.pi/2)*galsim.radians)
return imPSF
'''
def PSFspin(self, x, y):
"""
The PSF profile at a given image position relative to the axis center
......@@ -392,7 +395,4 @@ class PSFInterp(PSFModel):
qr = np.sqrt((1.0+ell)/(1.0-ell))
PSFshear = galsim.Shear(e=ell, beta=beta*galsim.radians)
return self.psf.shear(PSFshear), PSFshear
if __name__ == '__main__':
pass
'''
tests/UNIT_TEST_DATA/config_test.yaml 0 → 100644
View file @ e95f8ce1
---
###############################################
#
# Configuration file for CSST simulation
# Overall settings
# CSST-Sim Group, 2024/01/08
#
###############################################
# Base diretories and naming setup
# can add some of the command-line arguments here as well;
# ok to pass either way or both, as long as they are consistent
work_dir: "/public/home/chengliang/CSSOSDataProductsSims/csst-simulation/tests/UNIT_TEST_DATA/"
data_dir: "/public/share/yangxuliu/CSSOSDataProductsSims/data_50sqDeg/"
run_name: "testRun"
# Project cycle and run counter are used to name the outputs
project_cycle: 9
run_counter: 0
# Run options
run_option:
use_mpi: YES
# NOTE: "n_threads" paramters is currently not used in the backend
# simulation codes. It should be implemented later in the web frontend
# in order to config the number of threads to request from NAOC cluster
n_threads: 80
# Output catalog only?
# If yes, no imaging simulation will run
out_cat_only: NO
###############################################
# Catalog setting
###############################################
# Configure the input catalog: options should be implemented
# in the corresponding (user defined) 'Catalog' class
catalog_options:
input_path:
# cat_dir: "Catalog_C6_20221212"
cat_dir: ""
star_cat: "starcat/"
galaxy_cat: "qsocat/cat2CSSTSim_bundle-50sqDeg/"
# AGN_cat: "AGN_C6_ross13_rand_pos_rmax-1.3.fits"
SED_templates_path:
star_SED: "SpecLib.hdf5"
galaxy_SED: "sedlibs/"
AGN_SED: "qsocat/qsosed/"
# AGN_SED_WAVE: "wave_ross13.npy"
# Only simulate stars?
star_only: NO
# Only simulate galaxies?
galaxy_only: NO
# rotate galaxy ellipticity
rotateEll: 0. # [degree]
seed_Av: 121212 # Seed for generating random intrinsic extinction
###############################################
# Observation setting
###############################################
obs_setting:
# (Optional) a file of point list
# if you just want to run default pointing:
# - pointing_dir: null
# - pointing_file: null
pointing_dir: "/public/share/yangxuliu/CSSOSDataProductsSims/data_50sqDeg/pointing_gir25/"
pointing_file: "pointing_50_1.dat"
obs_config_file: "/public/home/chengliang/CSSOSDataProductsSims/csst-simulation/config/obs_config_SCI_WIDE_phot.yaml"
# Run specific pointing(s):
# - give a list of indexes of pointings: [ip_1, ip_2...]
# - run all pointings: null
# Note: only valid when a pointing list is specified
run_pointings: [0]
# Whether to enable astrometric modeling
enable_astrometric_model: True
# Cut by saturation magnitude in which band?
cut_in_band: "z"
# saturation magnitude margin
mag_sat_margin: -2.5
# mag_sat_margin: -15.
# limiting magnitude margin
mag_lim_margin: +1.0
###############################################
# PSF setting
###############################################
psf_setting:
# Which PSF model to use:
# "Gauss": simple gaussian profile
# "Interp": Interpolated PSF from sampled ray-tracing data
psf_model: "Interp"
# PSF size [arcseconds]
# radius of 80% energy encircled
# NOTE: only valid for "Gauss" PSF
# psf_rcont: 0.15
# path to PSF data
# NOTE: only valid for "Interp" PSF
# PSF models for photometry survey simulation
psf_pho_dir: "/public/share/yangxuliu/CSSOSDataProductsSims/psfCube/set1_dynamic/"
# PSF models for slitless spectrum survey simulation
psf_sls_dir: "/public/share/yangxuliu/CSSOSDataProductsSims/data_50sqDeg/SLS_PSF_PCA_fp/"
###############################################
# Shear setting
###############################################
shear_setting:
# Options to generate mock shear field:
# "constant": all galaxies are assigned a constant reduced shear
# "catalog": get shear values from catalog
shear_type: "constant"
# For constant shear field
reduced_g1: 0.
reduced_g2: 0.
###############################################
# Output options
###############################################
output_setting:
output_format: "channels" # Whether to export as 16 channels (subimages) with pre- and over-scan ("image"/"channels")
shutter_output: OFF # Whether to export shutter effect 16-bit image
prnu_output: OFF # Whether to export the PRNU (pixel-to-pixel flat-fielding) files
###############################################
# Random seeds
###############################################
random_seeds:
seed_poisson: 20210601 # Seed for Poisson noise
seed_CR: 20210317 # Seed for generating random cosmic ray maps
seed_flat: 20210101 # Seed for generating random flat fields
seed_prnu: 20210102 # Seed for photo-response non-uniformity
seed_gainNonUniform: 20210202 # Seed for gain nonuniformity
seed_biasNonUniform: 20210203 # Seed for bias nonuniformity
seed_rnNonUniform: 20210204 # Seed for readout-noise nonuniformity
seed_badcolumns: 20240309 # Seed for bad columns
seed_defective: 20210304 # Seed for defective (bad) pixels
seed_readout: 20210601 # Seed for read-out gaussian noise
...
tests/test_BF_CTE.py 0 → 100644
View file @ e95f8ce1
import unittest
import sys,os,math
from itertools import islice
import numpy as np
import copy
import ctypes
import galsim
import yaml
from astropy.io import fits
from ObservationSim.Instrument import Chip, Filter, FilterParam, FocalPlane
from ObservationSim.Instrument.Chip import ChipUtils as chip_utils
#from ObservationSim.sim_steps import add_brighter_fatter_CTE
from ObservationSim.Instrument.Chip.libCTI.CTI_modeling import CTI_sim
try:
import importlib.resources as pkg_resources
except ImportError:
# Try backported to PY<37 'importlib_resources'
import importlib_resources as pkg_resources
### test FUNCTION --- START ###
def add_brighter_fatter(img):
#Inital dynamic lib
try:
with pkg_resources.files('ObservationSim.Instrument.Chip.libBF').joinpath("libmoduleBF.so") as lib_path:
lib_bf = ctypes.CDLL(lib_path)
except AttributeError:
with pkg_resources.path('ObservationSim.Instrument.Chip.libBF', "libmoduleBF.so") as lib_path:
lib_bf = ctypes.CDLL(lib_path)
lib_bf.addEffects.argtypes = [ctypes.c_int, ctypes.c_int, ctypes.POINTER(ctypes.c_float), ctypes.POINTER(ctypes.c_float), ctypes.c_int]
# Set bit flag
bit_flag = 1
bit_flag = bit_flag | (1 << 2)
nx, ny = img.array.shape
nn = nx * ny
arr_ima= (ctypes.c_float*nn)()
arr_imc= (ctypes.c_float*nn)()
arr_ima[:]= img.array.reshape(nn)
arr_imc[:]= np.zeros(nn)
lib_bf.addEffects(nx, ny, arr_ima, arr_imc, bit_flag)
img.array[:, :] = np.reshape(arr_imc, [nx, ny])
del arr_ima, arr_imc
return img
### test FUNCTION --- END ###
def defineCCD(iccd, config_file):
with open(config_file, "r") as stream:
try:
config = yaml.safe_load(stream)
#for key, value in config.items():
# print (key + " : " + str(value))
except yaml.YAMLError as exc:
print(exc)
chip = Chip(chipID=iccd, config=config)
chip.img = galsim.ImageF(400, 200) #galsim.ImageF(chip.npix_x, chip.npix_y)
focal_plane = FocalPlane(chip_list=[iccd])
chip.img.wcs= focal_plane.getTanWCS(192.8595, 27.1283, -113.4333*galsim.degrees, chip.pix_scale)
return chip
def defineFilt(chip):
filter_param = FilterParam()
filter_id, filter_type = chip.getChipFilter()
filt = Filter(
filter_id=filter_id,
filter_type=filter_type,
filter_param=filter_param,
ccd_bandpass=chip.effCurve)
bandpass_list = filt.bandpass_sub_list
return filt
class detModule_coverage(unittest.TestCase):
def __init__(self, methodName='runTest'):
super(detModule_coverage, self).__init__(methodName)
self.dataPath = "/public/home/chengliang/CSSOSDataProductsSims/csst-simulation/tests/UNIT_TEST_DATA" ##os.path.join(os.getenv('UNIT_TEST_DATA_ROOT'), 'csst_fz_gc1')
self.iccd = 1
def test_add_brighter_fatter(self):
config_file = os.path.join(self.dataPath, 'config_test.yaml')
chip = defineCCD(self.iccd, config_file)
filt = defineFilt(chip)
print(chip.chipID)
print(chip.cen_pix_x, chip.cen_pix_y)
#objA-lowSFB
obj = galsim.Gaussian(sigma=0.2, flux=1000)
arr = obj.drawImage(nx=64, ny=64, scale=0.074).array
chip.img.array[(100-32):(100+32),(200-32):(200+32)] = arr[:,:]
img_old = copy.deepcopy(chip.img)
img_new = add_brighter_fatter(img=chip.img)
arr1= img_old.array
arr2= img_new.array
deltaA_max = np.max(np.abs(arr2-arr1))
print('deltaA-max:', np.max(np.abs(arr2-arr1)))
print('deltaA-min:', np.min(np.abs(arr2-arr1)))
#objB-highSFB
obj = galsim.Gaussian(sigma=0.2, flux=10000)
arr = obj.drawImage(nx=64, ny=64, scale=0.074).array
chip.img.array[(100-32):(100+32),(200-32):(200+32)] = arr[:,:]
img_old = copy.deepcopy(chip.img)
img_new = add_brighter_fatter(img=chip.img)
arr3= img_old.array
arr4= img_new.array
deltaB_max = np.max(np.abs(arr4-arr3))
print('deltaB-max:', np.max(np.abs(arr4-arr3)))
print('deltaB-min:', np.min(np.abs(arr4-arr3)))
self.assertTrue( deltaB_max > deltaA_max )
def test_apply_CTE(self):
config_file = os.path.join(self.dataPath, 'config_test.yaml')
chip = defineCCD(self.iccd, config_file)
filt = defineFilt(chip)
print(chip.chipID)
print(chip.cen_pix_x, chip.cen_pix_y)
print(" Apply CTE Effect")
nx,ny,noverscan,nsp,nmax = 4608,4616,84,3,10
ntotal = 4700
beta,w,c = 0.478,84700,0
t = np.array([0.74,7.7,37],dtype=np.float32)
rho_trap = np.array([0.6,1.6,1.4],dtype=np.float32)
trap_seeds = np.array([0,100,1000],dtype=np.int32)
release_seed = 500
image = fits.getdata("UNIT_TEST_DATA/testCTE_image_before.fits").astype(np.int32)
#get_trap_map(trap_seeds,nx,ny,nmax,rho_trap,beta,c,".")
#bin2fits("trap.bin",".",nsp,nx,ny,nmax)
image_cti = CTI_sim(image,nx,ny,noverscan,nsp,nmax,beta,w,c,t,rho_trap,trap_seeds,release_seed)
fits.writeto("UNIT_TEST_DATA/testCTE_image_after.fits",data=image_cti,overwrite=True)
if __name__ == '__main__':
unittest.main()
tests/test_PSFmodule.py 0 → 100644
View file @ e95f8ce1
import unittest
import sys,os,math
from itertools import islice
import numpy as np
import galsim
import yaml
from ObservationSim.Instrument import Chip, Filter, FilterParam, FocalPlane
from ObservationSim.PSF.PSFInterp import PSFInterp
def defineCCD(iccd, config_file):
with open(config_file, "r") as stream:
try:
config = yaml.safe_load(stream)
#for key, value in config.items():
# print (key + " : " + str(value))
except yaml.YAMLError as exc:
print(exc)
chip = Chip(chipID=iccd, config=config)
chip.img = galsim.ImageF(chip.npix_x, chip.npix_y)
focal_plane = FocalPlane(chip_list=[iccd])
chip.img.wcs= focal_plane.getTanWCS(192.8595, 27.1283, -113.4333*galsim.degrees, chip.pix_scale)
return chip
def defineFilt(chip):
filter_param = FilterParam()
filter_id, filter_type = chip.getChipFilter()
filt = Filter(
filter_id=filter_id,
filter_type=filter_type,
filter_param=filter_param,
ccd_bandpass=chip.effCurve)
bandpass_list = filt.bandpass_sub_list
return bandpass_list
class PSFInterpModule_coverage(unittest.TestCase):
def __init__(self, methodName='runTest'):
super(PSFInterpModule_coverage, self).__init__(methodName)
self.dataPath = "/public/home/chengliang/CSSOSDataProductsSims/csst-simulation/tests/UNIT_TEST_DATA" ##os.path.join(os.getenv('UNIT_TEST_DATA_ROOT'), 'csst_fz_gc1')
self.iccd = 1
def test_loadPSFSet(self):
config_file = os.path.join(self.dataPath, 'config_test.yaml')
chip = defineCCD(self.iccd, config_file)
bandpass = defineFilt(chip)
print(chip.chipID)
print(chip.cen_pix_x, chip.cen_pix_y)
pathTemp = "/public/share/yangxuliu/CSSOSDataProductsSims/psfCube/set1_dynamic/"
psfModel= PSFInterp(chip, npsf=900, PSF_data_file=pathTemp, PSF_data_prefix="", HocBuild=True, LOG_DEBUG=True)
x, y = 4096, 4096 #imgPos[iobj, :] # try get the PSF at some location (1234, 1234) on the chip
x = x+chip.bound.xmin
y = y+chip.bound.ymin
pos_img = galsim.PositionD(x, y)
psf,_ = psfModel.get_PSF(chip=chip, pos_img=pos_img, bandpass=0, galsimGSObject=True)
psfA = psfModel.get_PSF(chip=chip, pos_img=pos_img, bandpass=bandpass[0], galsimGSObject=False)
psfB = psfModel.get_PSF(chip=chip, pos_img=pos_img, findNeighMode='hoclistFind', bandpass=bandpass[0], galsimGSObject=False)
self.assertTrue( psf != None )
self.assertTrue( np.max(np.abs(psfA-psfB))<1e-6 )
if __name__ == '__main__':
unittest.main()
tests/test_prescan_overscan.py 0 → 100644
View file @ e95f8ce1
import unittest
import sys,os,math
from itertools import islice
import numpy as np
import galsim
import yaml
from ObservationSim.Instrument import Chip, Filter, FilterParam, FocalPlane
from ObservationSim.Instrument.Chip import ChipUtils as chip_utils
def defineCCD(iccd, config_file):
with open(config_file, "r") as stream:
try:
config = yaml.safe_load(stream)
#for key, value in config.items():
# print (key + " : " + str(value))
except yaml.YAMLError as exc:
print(exc)
chip = Chip(chipID=iccd, config=config)
chip.img = galsim.ImageF(chip.npix_x, chip.npix_y)
focal_plane = FocalPlane(chip_list=[iccd])
chip.img.wcs= focal_plane.getTanWCS(192.8595, 27.1283, -113.4333*galsim.degrees, chip.pix_scale)
return chip
def defineFilt(chip):
filter_param = FilterParam()
filter_id, filter_type = chip.getChipFilter()
filt = Filter(
filter_id=filter_id,
filter_type=filter_type,
filter_param=filter_param,
ccd_bandpass=chip.effCurve)
bandpass_list = filt.bandpass_sub_list
return bandpass_list
class detModule_coverage(unittest.TestCase):
def __init__(self, methodName='runTest'):
super(detModule_coverage, self).__init__(methodName)
self.dataPath = "/public/home/chengliang/CSSOSDataProductsSims/csst-simulation/tests/UNIT_TEST_DATA" ##os.path.join(os.getenv('UNIT_TEST_DATA_ROOT'), 'csst_fz_gc1')
self.iccd = 1
def test_add_prescan_overscan(self):
config_file = os.path.join(self.dataPath, 'config_test.yaml')
chip = defineCCD(self.iccd, config_file)
bandpass = defineFilt(chip)
print(chip.chipID)
print(chip.cen_pix_x, chip.cen_pix_y)
chip.img = chip_utils.AddPreScan(GSImage=chip.img,
pre1=chip.prescan_x,
pre2=chip.prescan_y,
over1=chip.overscan_x,
over2=chip.overscan_y)
self.assertTrue( (chip.prescan_x+chip.overscan_x)*8+chip.npix_x == np.shape(chip.img.array)[1] )
self.assertTrue( (chip.prescan_y+chip.overscan_y)*2+chip.npix_y == np.shape(chip.img.array)[0] )
if __name__ == '__main__':
unittest.main()
tests/test_prescan_overscan_func.py 0 → 100644
View file @ e95f8ce1
import unittest
import sys,os,math
from itertools import islice
import numpy as np
import galsim
import yaml
from ObservationSim.Instrument import Chip, Filter, FilterParam, FocalPlane
#from ObservationSim.Instrument.Chip import ChipUtils as chip_utils
### test FUNCTION --- START ###
def AddPreScan(GSImage, pre1=27, pre2=4, over1=71, over2=80, nsecy = 2, nsecx=8):
img= GSImage.array
ny, nx = img.shape
dx = int(nx/nsecx)
dy = int(ny/nsecy)
imgt=np.zeros([int(nsecy*nsecx), int(ny/nsecy+pre2+over2), int(nx/nsecx+pre1+over1)])
for iy in range(nsecy):
for ix in range(nsecx):
if iy % 2 == 0:
tx = ix
else:
tx = (nsecx-1)-ix
ty = iy
chunkidx = int(tx+ty*nsecx) #chunk1-[1,2,3,4], chunk2-[5,6,7,8], chunk3-[9,10,11,12], chunk4-[13,14,15,16]
imgtemp = np.zeros([int(ny/nsecy+pre2+over2), int(nx/nsecx+pre1+over1)])
if int(chunkidx/4) == 0:
imgtemp[pre2:pre2+dy, pre1:pre1+dx] = img[iy*dy:(iy+1)*dy, ix*dx:(ix+1)*dx]
imgt[chunkidx, :, :] = imgtemp
if int(chunkidx/4) == 1:
imgtemp[pre2:pre2+dy, over1:over1+dx] = img[iy*dy:(iy+1)*dy, ix*dx:(ix+1)*dx]
imgt[chunkidx, :, :] = imgtemp #[:, ::-1]
if int(chunkidx/4) == 2:
imgtemp[over2:over2+dy, over1:over1+dx] = img[iy*dy:(iy+1)*dy, ix*dx:(ix+1)*dx]
imgt[chunkidx, :, :] = imgtemp #[::-1, ::-1]
if int(chunkidx/4) == 3:
imgtemp[over2:over2+dy, pre1:pre1+dx] = img[iy*dy:(iy+1)*dy, ix*dx:(ix+1)*dx]
imgt[chunkidx, :, :] = imgtemp #[::-1, :]
imgtx1 = np.hstack(imgt[:nsecx:, :, :]) #hstack chunk(1,2)-[1,2,3,4,5,6,7,8]
imgtx2 = np.hstack(imgt[:(nsecx-1):-1, :, :]) #hstack chunk(4,3)-[16,15,14,13,12,11,,10,9]
newimg = galsim.Image(int(nx+(pre1+over1)*nsecx), int(ny+(pre2+over2)*nsecy), init_value=0)
newimg.array[:, :] = np.concatenate([imgtx1, imgtx2]) #vstack chunk(1,2) & chunk(4,3)
newimg.wcs = GSImage.wcs
return newimg
### test FUNCTION --- END ###
def defineCCD(iccd, config_file):
with open(config_file, "r") as stream:
try:
config = yaml.safe_load(stream)
#for key, value in config.items():
# print (key + " : " + str(value))
except yaml.YAMLError as exc:
print(exc)
chip = Chip(chipID=iccd, config=config)
chip.img = galsim.ImageF(chip.npix_x, chip.npix_y)
focal_plane = FocalPlane(chip_list=[iccd])
chip.img.wcs= focal_plane.getTanWCS(192.8595, 27.1283, -113.4333*galsim.degrees, chip.pix_scale)
return chip
def defineFilt(chip):
filter_param = FilterParam()
filter_id, filter_type = chip.getChipFilter()
filt = Filter(
filter_id=filter_id,
filter_type=filter_type,
filter_param=filter_param,
ccd_bandpass=chip.effCurve)
bandpass_list = filt.bandpass_sub_list
return bandpass_list
class detModule_coverage(unittest.TestCase):
def __init__(self, methodName='runTest'):
super(detModule_coverage, self).__init__(methodName)
self.dataPath = "/public/home/chengliang/CSSOSDataProductsSims/csst-simulation/tests/UNIT_TEST_DATA" ##os.path.join(os.getenv('UNIT_TEST_DATA_ROOT'), 'csst_fz_gc1')
self.iccd = 1
def test_add_prescan_overscan(self):
config_file = os.path.join(self.dataPath, 'config_test.yaml')
chip = defineCCD(self.iccd, config_file)
bandpass = defineFilt(chip)
print(chip.chipID)
print(chip.cen_pix_x, chip.cen_pix_y)
chip.img = AddPreScan(GSImage=chip.img,
pre1=chip.prescan_x,
pre2=chip.prescan_y,
over1=chip.overscan_x,
over2=chip.overscan_y)
self.assertTrue( (chip.prescan_x+chip.overscan_x)*8+chip.npix_x == np.shape(chip.img.array)[1] )
self.assertTrue( (chip.prescan_y+chip.overscan_y)*2+chip.npix_y == np.shape(chip.img.array)[0] )
if __name__ == '__main__':
unittest.main()
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