Loading csst_mci_sim/csst_mci_sim.py +58 −60 Original line number Diff line number Diff line Loading @@ -377,8 +377,8 @@ def jd2time(jd): return mjd2time(mjd) #mjd to jd def mjd2jd(mjd): return mjd+2400000.5 # def mjd2jd(mjd): # return mjd+2400000.5 def jd2mjd(jd): return jd-2400000.5 Loading Loading @@ -621,57 +621,57 @@ def centroid(data): ############################################################################### def fftrange(n, dtype=float): """FFT-aligned coordinate grid for n samples.""" return np.arange(-n//2, -n//2+n, dtype=dtype) # def fftrange(n, dtype=float): # """FFT-aligned coordinate grid for n samples.""" # return np.arange(-n//2, -n//2+n, dtype=dtype) ############################################################################### def dft2(ary, Q, samples, shift=None): """Compute the two dimensional Discrete Fourier Transform of a matrix. # def dft2(ary, Q, samples, shift=None): # """Compute the two dimensional Discrete Fourier Transform of a matrix. Parameters ---------- ary : `numpy.ndarray` an array, 2D, real or complex. Not fftshifted. Q : `float` oversampling / padding factor to mimic an FFT. If Q=2, Nyquist sampled samples : `int` or `Iterable` number of samples in the output plane. If an int, used for both dimensions. If an iterable, used for each dim shift : `float`, optional shift of the output domain, as a frequency. Same broadcast rules apply as with samples. # Parameters # ---------- # ary : `numpy.ndarray` # an array, 2D, real or complex. Not fftshifted. # Q : `float` # oversampling / padding factor to mimic an FFT. If Q=2, Nyquist sampled # samples : `int` or `Iterable` # number of samples in the output plane. # If an int, used for both dimensions. If an iterable, used for each dim # shift : `float`, optional # shift of the output domain, as a frequency. Same broadcast # rules apply as with samples. Returns ------- `numpy.ndarray` 2D array containing the shifted transform. Equivalent to ifftshift(fft2(fftshift(ary))) modulo output sampling/grid differences # Returns # ------- # `numpy.ndarray` # 2D array containing the shifted transform. # Equivalent to ifftshift(fft2(fftshift(ary))) modulo output # sampling/grid differences """ # """ # this is for dtype stabilization Q = float(Q) ## Q=lambda*f/D/pixelsize # # this is for dtype stabilization # Q = float(Q) ## Q=lambda*f/D/pixelsize n, m = ary.shape ###ary maybe is the pupil function N, M = samples,samples # n, m = ary.shape ###ary maybe is the pupil function # N, M = samples,samples X, Y, U, V = (fftrange(n) for n in (m, n, M, N)) # X, Y, U, V = (fftrange(n) for n in (m, n, M, N)) a = 1 / Q # a = 1 / Q ################################################################### Eout_fwd = np.exp(-1j * 2 * np.pi * a / n * np.outer(Y, V).T) Ein_fwd = np.exp(-1j * 2 * np.pi * a / m * np.outer(X, U)) # ################################################################### # Eout_fwd = np.exp(-1j * 2 * np.pi * a / n * np.outer(Y, V).T) # Ein_fwd = np.exp(-1j * 2 * np.pi * a / m * np.outer(X, U)) ############################################################################# # ############################################################################# out = Eout_fwd @ ary @ Ein_fwd #### ary is the input pupil function # out = Eout_fwd @ ary @ Ein_fwd #### ary is the input pupil function return out # return out ############################################################################## # def idft2(ary, Q, samples, shift=None): Loading Loading @@ -1092,7 +1092,7 @@ class MCIsimulator(): readouttime=4., rdose=8.0e9, ghostCutoff=22.0, ghostRatio=5.e-5, ghostratio=5.e-5, coveringfraction=0.05, #CR: # cosmicraylengths =self.information['dir_path']+'MCI_inputData/data/cdf_cr_length.dat', # cosmicraydistance=self.information['dir_path']+'MCI_inputData/data/cdf_cr_total.dat', Loading Loading @@ -1143,10 +1143,8 @@ class MCIsimulator(): self.information.update(settings) #ghost ratio can be in engineering format, so getfloat does not capture it... try: self.information['ghostRatio'] = float(self.config.get(self.section, 'ghostRatio')) except: pass self.information['ghostratio'] = float(self.config.get(self.section, 'ghostRatio')) ################################################################################################### Loading Loading @@ -1648,7 +1646,7 @@ class MCIsimulator(): #################### cal_PSF_array ################################# if self.save_starpsf==100: if self.save_starpsf: self.log.info('calculate and save star PSF data......') Loading Loading @@ -2027,25 +2025,25 @@ class MCIsimulator(): ugriz = np.array([umag, gmag, rmag, imag, zmag]) star_flux = sed.Model_Galaxy_SED(wave, ugriz, redshift, t, self.information['dir_path']) else: umag = binary_star[j-nsrcs, 2] gmag = binary_star[j-nsrcs, 3] rmag = binary_star[j-nsrcs, 4] imag = binary_star[j-nsrcs, 5] zmag = binary_star[j-nsrcs, 6] wave = np.linspace(2500, 11000, 8501) # Input redshift redshift = 0 # else: # Loading galaxy SED template t=sed.Gal_Temp(self.information['dir_path']) # Calculating the magnitude (u, g, r, i, z) of each template t.toMag(redshift=redshift) # Calculating flux ugriz = np.array([umag, gmag, rmag, imag, zmag]) star_flux = sed.Model_Galaxy_SED(wave, ugriz, redshift, t, self.information['dir_path']) # umag = binary_star[j-nsrcs, 2] # gmag = binary_star[j-nsrcs, 3] # rmag = binary_star[j-nsrcs, 4] # imag = binary_star[j-nsrcs, 5] # zmag = binary_star[j-nsrcs, 6] # wave = np.linspace(2500, 11000, 8501) # # Input redshift # redshift = 0 # # Loading galaxy SED template # t=sed.Gal_Temp(self.information['dir_path']) # # Calculating the magnitude (u, g, r, i, z) of each template # t.toMag(redshift=redshift) # # Calculating flux # ugriz = np.array([umag, gmag, rmag, imag, zmag]) # star_flux = sed.Model_Galaxy_SED(wave, ugriz, redshift, t, self.information['dir_path']) ######################################### ##cal_SED_photons(self, flux_arr): Loading tests/test_mci_sim.py +150 −150 Original line number Diff line number Diff line Loading @@ -56,208 +56,208 @@ class TestDemoFunction(unittest.TestCase): "case 1: EXDF sim passes.", ) ############################################# def test_mci_sim_2(self): # def test_mci_sim_2(self): """ Aim --- Test mci sim function: STAR case. # """ # Aim # --- # Test mci sim function: STAR case. Criteria -------- Pass if the demo function returns `1`. # Criteria # -------- # Pass if the demo function returns `1`. Details ------- The demo function returns the length of the input argument list. This case aims to test whether the demo function returns `1` if input is `None`. """ faulthandler.enable() # Details # ------- # The demo function returns the length of the input argument list. # This case aims to test whether the demo function returns `1` if input is `None`. # """ # faulthandler.enable() # demo function test dir_path = os.path.join(os.environ['UNIT_TEST_DATA_ROOT'],'mci_sim/') print(dir_path) # # demo function test # dir_path = os.path.join(os.environ['UNIT_TEST_DATA_ROOT'],'mci_sim/') # print(dir_path) # 获取当前工作目录 # current_path = os.getcwd() # print("当前路径:", current_path) # # 获取当前工作目录 # # current_path = os.getcwd() # # print("当前路径:", current_path) configfile = './csst_mci_sim/mci_data/mci_all_9K.config' # configfile = './csst_mci_sim/mci_data/mci_all_9K.config' sourcein = 'STAR' print(configfile) # sourcein = 'STAR' # print(configfile) debug=True # debug=True csst_mci_sim.runMCIsim(sourcein, configfile, dir_path, debug, 1) # csst_mci_sim.runMCIsim(sourcein, configfile, dir_path, debug, 1) self.assertEqual( 1 , 1, "case 2: STAR sim passes.", ) # self.assertEqual( # 1 , 1, # "case 2: STAR sim passes.", # ) ######################################################### def test_mci_sim_3(self): # ######################################################### # def test_mci_sim_3(self): """ Aim --- Test mci sim function: BIAS case. # """ # Aim # --- # Test mci sim function: BIAS case. Criteria -------- Pass if the demo function returns `1`. # Criteria # -------- # Pass if the demo function returns `1`. Details ------- The demo function returns the length of the input argument list. This case aims to test whether the demo function returns `1` if input is `None`. """ faulthandler.enable() # Details # ------- # The demo function returns the length of the input argument list. # This case aims to test whether the demo function returns `1` if input is `None`. # """ # faulthandler.enable() # demo function test dir_path = os.path.join(os.environ['UNIT_TEST_DATA_ROOT'],'mci_sim/') print(dir_path) # # demo function test # dir_path = os.path.join(os.environ['UNIT_TEST_DATA_ROOT'],'mci_sim/') # print(dir_path) # 获取当前工作目录 # current_path = os.getcwd() # print("当前路径:", current_path) # # 获取当前工作目录 # # current_path = os.getcwd() # # print("当前路径:", current_path) configfile = './csst_mci_sim/mci_data/mci_all_9K.config' # configfile = './csst_mci_sim/mci_data/mci_all_9K.config' sourcein = 'BIAS' print(configfile) # sourcein = 'BIAS' # print(configfile) debug=True # debug=True csst_mci_sim.runMCIsim(sourcein, configfile, dir_path, debug, 1) # csst_mci_sim.runMCIsim(sourcein, configfile, dir_path, debug, 1) self.assertEqual( 1 , 1, "case 3: BIAS sim passes.", ) ######################################################### def test_mci_sim_4(self): # self.assertEqual( # 1 , 1, # "case 3: BIAS sim passes.", # ) # ######################################################### # def test_mci_sim_4(self): """ Aim --- Test mci sim function: DARK case. # """ # Aim # --- # Test mci sim function: DARK case. Criteria -------- Pass if the demo function returns `1`. # Criteria # -------- # Pass if the demo function returns `1`. Details ------- The demo function returns the length of the input argument list. This case aims to test whether the demo function returns `1` if input is `None`. """ faulthandler.enable() # Details # ------- # The demo function returns the length of the input argument list. # This case aims to test whether the demo function returns `1` if input is `None`. # """ # faulthandler.enable() # demo function test dir_path = os.path.join(os.environ['UNIT_TEST_DATA_ROOT'],'mci_sim/') print(dir_path) # # demo function test # dir_path = os.path.join(os.environ['UNIT_TEST_DATA_ROOT'],'mci_sim/') # print(dir_path) # 获取当前工作目录 # current_path = os.getcwd() # print("当前路径:", current_path) # # 获取当前工作目录 # # current_path = os.getcwd() # # print("当前路径:", current_path) configfile = './csst_mci_sim/mci_data/mci_all_9K.config' # configfile = './csst_mci_sim/mci_data/mci_all_9K.config' sourcein = 'DARK' print(configfile) # sourcein = 'DARK' # print(configfile) debug=True # debug=True csst_mci_sim.runMCIsim(sourcein, configfile, dir_path, debug, 1) # csst_mci_sim.runMCIsim(sourcein, configfile, dir_path, debug, 1) self.assertEqual( 1 , 1, "case 4: DARK sim passes.", ) # self.assertEqual( # 1 , 1, # "case 4: DARK sim passes.", # ) ######################################################### def test_mci_sim_5(self): # ######################################################### # def test_mci_sim_5(self): """ Aim --- Test mci sim function: FLAT case. # """ # Aim # --- # Test mci sim function: FLAT case. Criteria -------- Pass if the demo function returns `1`. # Criteria # -------- # Pass if the demo function returns `1`. Details ------- The demo function returns the length of the input argument list. This case aims to test whether the demo function returns `1` if input is `None`. """ faulthandler.enable() # Details # ------- # The demo function returns the length of the input argument list. # This case aims to test whether the demo function returns `1` if input is `None`. # """ # faulthandler.enable() # demo function test dir_path = os.path.join(os.environ['UNIT_TEST_DATA_ROOT'],'mci_sim/') print(dir_path) # # demo function test # dir_path = os.path.join(os.environ['UNIT_TEST_DATA_ROOT'],'mci_sim/') # print(dir_path) # 获取当前工作目录 # current_path = os.getcwd() # print("当前路径:", current_path) # # 获取当前工作目录 # # current_path = os.getcwd() # # print("当前路径:", current_path) configfile = './csst_mci_sim/mci_data/mci_all_9K.config' sourcein = 'FLAT' print(configfile) # configfile = './csst_mci_sim/mci_data/mci_all_9K.config' # sourcein = 'FLAT' # print(configfile) debug=True # debug=True csst_mci_sim.runMCIsim(sourcein, configfile, dir_path, debug, 1) # csst_mci_sim.runMCIsim(sourcein, configfile, dir_path, debug, 1) self.assertEqual( 1 , 1, "case 5: FLAT sim passes.", ) # self.assertEqual( # 1 , 1, # "case 5: FLAT sim passes.", # ) ############################################################################ def test_mci_sim_6(self): # ############################################################################ # def test_mci_sim_6(self): """ Aim --- Test mci sim function: EXDF case. # """ # Aim # --- # Test mci sim function: EXDF case. Criteria -------- Pass if the demo function returns `1`. # Criteria # -------- # Pass if the demo function returns `1`. Details ------- The demo function returns the length of the input argument list. This case aims to test whether the demo function returns `1` if input is `None`. """ faulthandler.enable() # Details # ------- # The demo function returns the length of the input argument list. # This case aims to test whether the demo function returns `1` if input is `None`. # """ # faulthandler.enable() # demo function test dir_path = os.path.join(os.environ['UNIT_TEST_DATA_ROOT'],'mci_sim/') print(dir_path) # # demo function test # dir_path = os.path.join(os.environ['UNIT_TEST_DATA_ROOT'],'mci_sim/') # print(dir_path) # 获取当前工作目录 # current_path = os.getcwd() # print("当前路径:", current_path) # # 获取当前工作目录 # # current_path = os.getcwd() # # print("当前路径:", current_path) configfile = './csst_mci_sim/mci_data/mci_all_9K.config' # configfile = './csst_mci_sim/mci_data/mci_all_9K.config' sourcein = 'STAR' print(configfile) # sourcein = 'STAR' # print(configfile) debug=True # debug=True csst_mci_sim.runMCIsim(sourcein, configfile, dir_path, debug, 1) # csst_mci_sim.runMCIsim(sourcein, configfile, dir_path, debug, 1) self.assertEqual( 1 , 1, "case 6: STAR sim passes.", ) ############################################# # self.assertEqual( # 1 , 1, # "case 6: STAR sim passes.", # ) # ############################################# No newline at end of file Loading
csst_mci_sim/csst_mci_sim.py +58 −60 Original line number Diff line number Diff line Loading @@ -377,8 +377,8 @@ def jd2time(jd): return mjd2time(mjd) #mjd to jd def mjd2jd(mjd): return mjd+2400000.5 # def mjd2jd(mjd): # return mjd+2400000.5 def jd2mjd(jd): return jd-2400000.5 Loading Loading @@ -621,57 +621,57 @@ def centroid(data): ############################################################################### def fftrange(n, dtype=float): """FFT-aligned coordinate grid for n samples.""" return np.arange(-n//2, -n//2+n, dtype=dtype) # def fftrange(n, dtype=float): # """FFT-aligned coordinate grid for n samples.""" # return np.arange(-n//2, -n//2+n, dtype=dtype) ############################################################################### def dft2(ary, Q, samples, shift=None): """Compute the two dimensional Discrete Fourier Transform of a matrix. # def dft2(ary, Q, samples, shift=None): # """Compute the two dimensional Discrete Fourier Transform of a matrix. Parameters ---------- ary : `numpy.ndarray` an array, 2D, real or complex. Not fftshifted. Q : `float` oversampling / padding factor to mimic an FFT. If Q=2, Nyquist sampled samples : `int` or `Iterable` number of samples in the output plane. If an int, used for both dimensions. If an iterable, used for each dim shift : `float`, optional shift of the output domain, as a frequency. Same broadcast rules apply as with samples. # Parameters # ---------- # ary : `numpy.ndarray` # an array, 2D, real or complex. Not fftshifted. # Q : `float` # oversampling / padding factor to mimic an FFT. If Q=2, Nyquist sampled # samples : `int` or `Iterable` # number of samples in the output plane. # If an int, used for both dimensions. If an iterable, used for each dim # shift : `float`, optional # shift of the output domain, as a frequency. Same broadcast # rules apply as with samples. Returns ------- `numpy.ndarray` 2D array containing the shifted transform. Equivalent to ifftshift(fft2(fftshift(ary))) modulo output sampling/grid differences # Returns # ------- # `numpy.ndarray` # 2D array containing the shifted transform. # Equivalent to ifftshift(fft2(fftshift(ary))) modulo output # sampling/grid differences """ # """ # this is for dtype stabilization Q = float(Q) ## Q=lambda*f/D/pixelsize # # this is for dtype stabilization # Q = float(Q) ## Q=lambda*f/D/pixelsize n, m = ary.shape ###ary maybe is the pupil function N, M = samples,samples # n, m = ary.shape ###ary maybe is the pupil function # N, M = samples,samples X, Y, U, V = (fftrange(n) for n in (m, n, M, N)) # X, Y, U, V = (fftrange(n) for n in (m, n, M, N)) a = 1 / Q # a = 1 / Q ################################################################### Eout_fwd = np.exp(-1j * 2 * np.pi * a / n * np.outer(Y, V).T) Ein_fwd = np.exp(-1j * 2 * np.pi * a / m * np.outer(X, U)) # ################################################################### # Eout_fwd = np.exp(-1j * 2 * np.pi * a / n * np.outer(Y, V).T) # Ein_fwd = np.exp(-1j * 2 * np.pi * a / m * np.outer(X, U)) ############################################################################# # ############################################################################# out = Eout_fwd @ ary @ Ein_fwd #### ary is the input pupil function # out = Eout_fwd @ ary @ Ein_fwd #### ary is the input pupil function return out # return out ############################################################################## # def idft2(ary, Q, samples, shift=None): Loading Loading @@ -1092,7 +1092,7 @@ class MCIsimulator(): readouttime=4., rdose=8.0e9, ghostCutoff=22.0, ghostRatio=5.e-5, ghostratio=5.e-5, coveringfraction=0.05, #CR: # cosmicraylengths =self.information['dir_path']+'MCI_inputData/data/cdf_cr_length.dat', # cosmicraydistance=self.information['dir_path']+'MCI_inputData/data/cdf_cr_total.dat', Loading Loading @@ -1143,10 +1143,8 @@ class MCIsimulator(): self.information.update(settings) #ghost ratio can be in engineering format, so getfloat does not capture it... try: self.information['ghostRatio'] = float(self.config.get(self.section, 'ghostRatio')) except: pass self.information['ghostratio'] = float(self.config.get(self.section, 'ghostRatio')) ################################################################################################### Loading Loading @@ -1648,7 +1646,7 @@ class MCIsimulator(): #################### cal_PSF_array ################################# if self.save_starpsf==100: if self.save_starpsf: self.log.info('calculate and save star PSF data......') Loading Loading @@ -2027,25 +2025,25 @@ class MCIsimulator(): ugriz = np.array([umag, gmag, rmag, imag, zmag]) star_flux = sed.Model_Galaxy_SED(wave, ugriz, redshift, t, self.information['dir_path']) else: umag = binary_star[j-nsrcs, 2] gmag = binary_star[j-nsrcs, 3] rmag = binary_star[j-nsrcs, 4] imag = binary_star[j-nsrcs, 5] zmag = binary_star[j-nsrcs, 6] wave = np.linspace(2500, 11000, 8501) # Input redshift redshift = 0 # else: # Loading galaxy SED template t=sed.Gal_Temp(self.information['dir_path']) # Calculating the magnitude (u, g, r, i, z) of each template t.toMag(redshift=redshift) # Calculating flux ugriz = np.array([umag, gmag, rmag, imag, zmag]) star_flux = sed.Model_Galaxy_SED(wave, ugriz, redshift, t, self.information['dir_path']) # umag = binary_star[j-nsrcs, 2] # gmag = binary_star[j-nsrcs, 3] # rmag = binary_star[j-nsrcs, 4] # imag = binary_star[j-nsrcs, 5] # zmag = binary_star[j-nsrcs, 6] # wave = np.linspace(2500, 11000, 8501) # # Input redshift # redshift = 0 # # Loading galaxy SED template # t=sed.Gal_Temp(self.information['dir_path']) # # Calculating the magnitude (u, g, r, i, z) of each template # t.toMag(redshift=redshift) # # Calculating flux # ugriz = np.array([umag, gmag, rmag, imag, zmag]) # star_flux = sed.Model_Galaxy_SED(wave, ugriz, redshift, t, self.information['dir_path']) ######################################### ##cal_SED_photons(self, flux_arr): Loading
tests/test_mci_sim.py +150 −150 Original line number Diff line number Diff line Loading @@ -56,208 +56,208 @@ class TestDemoFunction(unittest.TestCase): "case 1: EXDF sim passes.", ) ############################################# def test_mci_sim_2(self): # def test_mci_sim_2(self): """ Aim --- Test mci sim function: STAR case. # """ # Aim # --- # Test mci sim function: STAR case. Criteria -------- Pass if the demo function returns `1`. # Criteria # -------- # Pass if the demo function returns `1`. Details ------- The demo function returns the length of the input argument list. This case aims to test whether the demo function returns `1` if input is `None`. """ faulthandler.enable() # Details # ------- # The demo function returns the length of the input argument list. # This case aims to test whether the demo function returns `1` if input is `None`. # """ # faulthandler.enable() # demo function test dir_path = os.path.join(os.environ['UNIT_TEST_DATA_ROOT'],'mci_sim/') print(dir_path) # # demo function test # dir_path = os.path.join(os.environ['UNIT_TEST_DATA_ROOT'],'mci_sim/') # print(dir_path) # 获取当前工作目录 # current_path = os.getcwd() # print("当前路径:", current_path) # # 获取当前工作目录 # # current_path = os.getcwd() # # print("当前路径:", current_path) configfile = './csst_mci_sim/mci_data/mci_all_9K.config' # configfile = './csst_mci_sim/mci_data/mci_all_9K.config' sourcein = 'STAR' print(configfile) # sourcein = 'STAR' # print(configfile) debug=True # debug=True csst_mci_sim.runMCIsim(sourcein, configfile, dir_path, debug, 1) # csst_mci_sim.runMCIsim(sourcein, configfile, dir_path, debug, 1) self.assertEqual( 1 , 1, "case 2: STAR sim passes.", ) # self.assertEqual( # 1 , 1, # "case 2: STAR sim passes.", # ) ######################################################### def test_mci_sim_3(self): # ######################################################### # def test_mci_sim_3(self): """ Aim --- Test mci sim function: BIAS case. # """ # Aim # --- # Test mci sim function: BIAS case. Criteria -------- Pass if the demo function returns `1`. # Criteria # -------- # Pass if the demo function returns `1`. Details ------- The demo function returns the length of the input argument list. This case aims to test whether the demo function returns `1` if input is `None`. """ faulthandler.enable() # Details # ------- # The demo function returns the length of the input argument list. # This case aims to test whether the demo function returns `1` if input is `None`. # """ # faulthandler.enable() # demo function test dir_path = os.path.join(os.environ['UNIT_TEST_DATA_ROOT'],'mci_sim/') print(dir_path) # # demo function test # dir_path = os.path.join(os.environ['UNIT_TEST_DATA_ROOT'],'mci_sim/') # print(dir_path) # 获取当前工作目录 # current_path = os.getcwd() # print("当前路径:", current_path) # # 获取当前工作目录 # # current_path = os.getcwd() # # print("当前路径:", current_path) configfile = './csst_mci_sim/mci_data/mci_all_9K.config' # configfile = './csst_mci_sim/mci_data/mci_all_9K.config' sourcein = 'BIAS' print(configfile) # sourcein = 'BIAS' # print(configfile) debug=True # debug=True csst_mci_sim.runMCIsim(sourcein, configfile, dir_path, debug, 1) # csst_mci_sim.runMCIsim(sourcein, configfile, dir_path, debug, 1) self.assertEqual( 1 , 1, "case 3: BIAS sim passes.", ) ######################################################### def test_mci_sim_4(self): # self.assertEqual( # 1 , 1, # "case 3: BIAS sim passes.", # ) # ######################################################### # def test_mci_sim_4(self): """ Aim --- Test mci sim function: DARK case. # """ # Aim # --- # Test mci sim function: DARK case. Criteria -------- Pass if the demo function returns `1`. # Criteria # -------- # Pass if the demo function returns `1`. Details ------- The demo function returns the length of the input argument list. This case aims to test whether the demo function returns `1` if input is `None`. """ faulthandler.enable() # Details # ------- # The demo function returns the length of the input argument list. # This case aims to test whether the demo function returns `1` if input is `None`. # """ # faulthandler.enable() # demo function test dir_path = os.path.join(os.environ['UNIT_TEST_DATA_ROOT'],'mci_sim/') print(dir_path) # # demo function test # dir_path = os.path.join(os.environ['UNIT_TEST_DATA_ROOT'],'mci_sim/') # print(dir_path) # 获取当前工作目录 # current_path = os.getcwd() # print("当前路径:", current_path) # # 获取当前工作目录 # # current_path = os.getcwd() # # print("当前路径:", current_path) configfile = './csst_mci_sim/mci_data/mci_all_9K.config' # configfile = './csst_mci_sim/mci_data/mci_all_9K.config' sourcein = 'DARK' print(configfile) # sourcein = 'DARK' # print(configfile) debug=True # debug=True csst_mci_sim.runMCIsim(sourcein, configfile, dir_path, debug, 1) # csst_mci_sim.runMCIsim(sourcein, configfile, dir_path, debug, 1) self.assertEqual( 1 , 1, "case 4: DARK sim passes.", ) # self.assertEqual( # 1 , 1, # "case 4: DARK sim passes.", # ) ######################################################### def test_mci_sim_5(self): # ######################################################### # def test_mci_sim_5(self): """ Aim --- Test mci sim function: FLAT case. # """ # Aim # --- # Test mci sim function: FLAT case. Criteria -------- Pass if the demo function returns `1`. # Criteria # -------- # Pass if the demo function returns `1`. Details ------- The demo function returns the length of the input argument list. This case aims to test whether the demo function returns `1` if input is `None`. """ faulthandler.enable() # Details # ------- # The demo function returns the length of the input argument list. # This case aims to test whether the demo function returns `1` if input is `None`. # """ # faulthandler.enable() # demo function test dir_path = os.path.join(os.environ['UNIT_TEST_DATA_ROOT'],'mci_sim/') print(dir_path) # # demo function test # dir_path = os.path.join(os.environ['UNIT_TEST_DATA_ROOT'],'mci_sim/') # print(dir_path) # 获取当前工作目录 # current_path = os.getcwd() # print("当前路径:", current_path) # # 获取当前工作目录 # # current_path = os.getcwd() # # print("当前路径:", current_path) configfile = './csst_mci_sim/mci_data/mci_all_9K.config' sourcein = 'FLAT' print(configfile) # configfile = './csst_mci_sim/mci_data/mci_all_9K.config' # sourcein = 'FLAT' # print(configfile) debug=True # debug=True csst_mci_sim.runMCIsim(sourcein, configfile, dir_path, debug, 1) # csst_mci_sim.runMCIsim(sourcein, configfile, dir_path, debug, 1) self.assertEqual( 1 , 1, "case 5: FLAT sim passes.", ) # self.assertEqual( # 1 , 1, # "case 5: FLAT sim passes.", # ) ############################################################################ def test_mci_sim_6(self): # ############################################################################ # def test_mci_sim_6(self): """ Aim --- Test mci sim function: EXDF case. # """ # Aim # --- # Test mci sim function: EXDF case. Criteria -------- Pass if the demo function returns `1`. # Criteria # -------- # Pass if the demo function returns `1`. Details ------- The demo function returns the length of the input argument list. This case aims to test whether the demo function returns `1` if input is `None`. """ faulthandler.enable() # Details # ------- # The demo function returns the length of the input argument list. # This case aims to test whether the demo function returns `1` if input is `None`. # """ # faulthandler.enable() # demo function test dir_path = os.path.join(os.environ['UNIT_TEST_DATA_ROOT'],'mci_sim/') print(dir_path) # # demo function test # dir_path = os.path.join(os.environ['UNIT_TEST_DATA_ROOT'],'mci_sim/') # print(dir_path) # 获取当前工作目录 # current_path = os.getcwd() # print("当前路径:", current_path) # # 获取当前工作目录 # # current_path = os.getcwd() # # print("当前路径:", current_path) configfile = './csst_mci_sim/mci_data/mci_all_9K.config' # configfile = './csst_mci_sim/mci_data/mci_all_9K.config' sourcein = 'STAR' print(configfile) # sourcein = 'STAR' # print(configfile) debug=True # debug=True csst_mci_sim.runMCIsim(sourcein, configfile, dir_path, debug, 1) # csst_mci_sim.runMCIsim(sourcein, configfile, dir_path, debug, 1) self.assertEqual( 1 , 1, "case 6: STAR sim passes.", ) ############################################# # self.assertEqual( # 1 , 1, # "case 6: STAR sim passes.", # ) # ############################################# No newline at end of file
