def bad_delta():
axis_1d = wcs.CoordAxis1D(wcs.Axis("UTC", "d"))
temporal_wcs = chunk.TemporalWCS(axis_1d)
# delta == 0.0 is bad
ref_coord = wcs.RefCoord(float(1.0), float(2.0))
temporal_wcs.axis.function = CoordFunction1D(int(100), 0.0, ref_coord)
return temporal_wcs
def get_temporal_wcs(self):
axis = self.get_coord_axis1d()
time = chunk.TemporalWCS(axis)
if self.complete:
time.exposure = 1.0
time.resolution = 2.0
time.timesys = "UTC"
time.trefpos = "TOPOCENTER"
time.mjdref = 3.0
return time
def get_test_function(complete, px, sx, nx, ds):
axis_1d = wcs.CoordAxis1D(wcs.Axis("UTC", "d"))
if complete:
wcs.exposure = 300.0
wcs.resolution = 0.1
temporal_wcs = chunk.TemporalWCS(axis_1d)
ref_coord = wcs.RefCoord(px, sx)
temporal_wcs.axis.function = wcs.CoordFunction1D(nx, ds, ref_coord)
return temporal_wcs
def bad_range_wcs():
px = float(0.5)
sx = float(54321.0)
nx = 200
ds = float(0.01)
axis_1d = wcs.CoordAxis1D(wcs.Axis("UTC", "d"))
temporal_wcs = chunk.TemporalWCS(axis_1d)
temporal_wcs.exposure = 300.0
temporal_wcs.resolution = 0.1
# divide into 2 samples with a gap between
c1 = wcs.RefCoord(px, sx)
c2 = wcs.RefCoord(0.0, 0.0)
c3 = wcs.RefCoord(px + nx * 0.66, sx + nx * ds * 0.66)
c4 = wcs.RefCoord(px + nx, sx + nx * ds)
temporal_wcs.axis.bounds = wcs.CoordBounds1D()
temporal_wcs.axis.bounds.samples.append(wcs.CoordRange1D(c1, c3))
temporal_wcs.axis.bounds.samples.append(wcs.CoordRange1D(c4, c2))
return temporal_wcs
