def dummy_test(infile, expfile):
# load input test data
ifile = open(infile, "br")
idic = pickle.load(ifile)
ifile.close()
Y = idic["Y"]
FWHM = idic["FWHM"]
surf = {}
if "tri" in idic.keys():
surf["tri"] = idic["tri"]
if "lat" in idic.keys():
surf["lat"] = idic["lat"]
# run mesh_smooth
Y_out = mesh_smooth(Y, surf, FWHM)
# load expected outout data
efile = open(expfile, "br")
expdic = pickle.load(efile)
efile.close()
Y_exp = expdic["Python_Y"]
testout = []
comp = np.allclose(Y_out, Y_exp, rtol=1e-05, equal_nan=True)
testout.append(comp)
assert all(flag == True for (flag) in testout)
def generate_smooth_out(rand_dict):
"""Uses rand_dict to run mesh_smooth and returns the smoothed data."""
# below are going to be input params for mesh_smooth
Y = rand_dict["Y"]
FWHM = rand_dict["FWHM"]
surf = {}
if "tri" in rand_dict.keys():
surf["tri"] = rand_dict["tri"]
if "lat" in rand_dict.keys():
surf["lat"] = rand_dict["lat"]
# run mesh_smooth and return the smoothed data
O = {}
O["Python_Y"] = mesh_smooth(Y, surf, FWHM)
return O