def test_stitches(self):
self.data_blocks[0].calc_freq()
min = self.data_blocks[0].freq[-1]
# Add a random factor to this one and make sure it gets devided out.
self.data_blocks[0].data[:, :, :, :] = self.data_blocks[0].freq * 1.05
self.data_blocks[1].calc_freq()
max = self.data_blocks[1].freq[0]
self.data_blocks[1].data[:, :, :, :] = self.data_blocks[1].freq
NewData = swc.stitch(self.data_blocks)
tol = abs(NewData.field['CDELT1'] / 2)
data_col = NewData.data[2, 2, 0, :]
self.assertTrue(abs(data_col[-1] - min) < tol)
self.assertTrue(abs(data_col[0] - max) < tol)
self.assertTrue(sp.allclose(sp.sort(-data_col), -data_col))
# Make sure the stitched frequencies line up frequency axis.
NewData.calc_freq()
freq = NewData.freq
self.assertTrue(sp.alltrue(abs(data_col - freq) < tol))
def test_stitches(self) :
self.data_blocks[0].calc_freq()
min = self.data_blocks[0].freq[-1]
# Add a random factor to this one and make sure it gets devided out.
self.data_blocks[0].data[:,:,:,:] = self.data_blocks[0].freq*1.05
self.data_blocks[1].calc_freq()
max = self.data_blocks[1].freq[0]
self.data_blocks[1].data[:,:,:,:] = self.data_blocks[1].freq
NewData = swc.stitch(self.data_blocks)
tol = abs(NewData.field['CDELT1']/2)
data_col = NewData.data[2,2,0,:]
self.assertTrue(abs(data_col[-1] - min) < tol)
self.assertTrue(abs(data_col[0] - max) < tol)
self.assertTrue(sp.allclose(sp.sort(-data_col), -data_col))
# Make sure the stitched frequencies line up frequency axis.
NewData.calc_freq()
freq = NewData.freq
self.assertTrue(sp.alltrue(abs(data_col - freq) < tol))
def test_runs(self):
swc.stitch(self.data_blocks)
def test_runs(self) :
swc.stitch(self.data_blocks)
