def test_making_SJIMap(sji_file):
sji_cube = SJICube(sji_file)
header = sji_cube.meta(0)
data = sji_cube.data[0, :, :]
assert isinstance(SJIMap(header, data), SJICube)
#def singlefile():
# mc=sji.SJI_fits_to_cube(fname[0],0,10)
# mc_db = sji.dustbuster(mc)
# print('Single file input Passed')
#def listfits():
# mc=sji.SJI_fits_to_cube(fname)
# print('Multiple file input Passed')
# Bad Pixel Map (BPM) before dustbuster
# m1 = ma.masked_inside(mc[0].data, -199, .1)
# mc_db=sji.dustbuster(mc)
# Fail condition: If mask finds unchanged values in BPM will return 'numpy.array'
# Pass condition: If mask finds no unchanged values in BPM will return 'numpy.bool'
# fail_count=0
# for i, map in enumerate(mc_db):
# m = ma.masked_inside(map.data, -199, .1)
# if type(m.mask)==type(m1.mask):
# print('DUSTBUSTER Failed: ' +str(i))
# fail_count+=1
# if fail_count==0:
# print('DUSTBUSTER Passed')
#test1=singlefile()
#test2=listfits()
def test_making_SJIMap(sji_file):
sji_cube = SJICube(sji_file)
header = sji_cube.meta(0)
data = sji_cube.data[0,:,:]
assert isinstance(SJIMap(header, data), SJICube)