def test_flag_apply(self):
# test applying to UVData
uv = UVData()
uv.read_miriad(test_d_file)
uv.flag_array = np.zeros_like(uv.flag_array, dtype=np.bool)
uvf = UVFlag(uv, mode='flag')
uvf.flag_array = np.zeros_like(uvf.flag_array, dtype=np.bool)
uvf.flag_array[:, :, 0, :] = True
uvf2 = xrfi.flag_apply(uvf, uv, return_net_flags=True)
nt.assert_true(np.allclose(uv.flag_array, uvf2.flag_array))
# test applying to UVCal
uv = UVCal()
uv.read_calfits(test_c_file)
uv.flag_array = np.zeros_like(uv.flag_array, dtype=np.bool)
uvf = UVFlag(uv, mode='flag')
uvf.flag_array = np.zeros_like(uvf.flag_array, dtype=np.bool)
uvf.flag_array[:, :, 0, :, :] = True
uvf2 = xrfi.flag_apply(uvf, uv, return_net_flags=True)
nt.assert_true(np.allclose(uv.flag_array, uvf2.flag_array))
# test applying to waterfalls
uv = UVData()
uv.read_miriad(test_d_file)
uv.flag_array = np.zeros_like(uv.flag_array, dtype=np.bool)
uvf = UVFlag(uv, mode='flag', waterfall=True)
uvf.flag_array[:, 0, :] = True
xrfi.flag_apply(uvf, uv)
nt.assert_true(np.allclose(uv.flag_array[:, :, 0, :], True))
nt.assert_true(np.allclose(uv.flag_array[:, :, 1:, :], False))
uv = UVCal()
uv.read_calfits(test_c_file)
uv.flag_array = np.zeros_like(uv.flag_array, dtype=np.bool)
uvf = UVFlag(uv, mode='flag', waterfall=True)
uvf.flag_array[:, 0, :] = True
xrfi.flag_apply(uvf, uv)
nt.assert_true(np.allclose(uv.flag_array[:, :, 0, :, :], True))
nt.assert_true(np.allclose(uv.flag_array[:, :, 1:, :, :], False))
# catch errors
nt.assert_raises(ValueError, xrfi.flag_apply, uvf, 2)
nt.assert_raises(ValueError, xrfi.flag_apply, 2, uv)
uvf.mode = 'metric'
nt.assert_raises(ValueError, xrfi.flag_apply, uvf, uv)
def test_clear_unused_attributes():
uv = UVFlag(test_f_file)
nt.assert_true(
hasattr(uv, 'baseline_array') & hasattr(uv, 'ant_1_array')
& hasattr(uv, 'ant_2_array'))
uv.type = 'antenna'
uv.clear_unused_attributes()
nt.assert_false(
hasattr(uv, 'baseline_array') | hasattr(uv, 'ant_1_array')
| hasattr(uv, 'ant_2_array'))
uv.mode = 'flag'
nt.assert_true(hasattr(uv, 'metric_array'))
uv.clear_unused_attributes()
nt.assert_false(hasattr(uv, 'metric_array'))
# Start over
uv = UVFlag(test_f_file)
uv.ant_array = np.array([4])
uv.flag_array = np.array([5])
uv.clear_unused_attributes()
nt.assert_false(hasattr(uv, 'ant_array'))
nt.assert_false(hasattr(uv, 'flag_array'))
def test_watershed_flag(self):
# generate a metrics and flag UVFlag object
uv = UVData()
uv.read_miriad(test_d_file)
uvm = UVFlag(uv, history='I made this')
uvf = UVFlag(uv, mode='flag')
# set metric and flag arrays to specific values
uvm.metric_array = np.zeros_like(uvm.metric_array)
uvf.flag_array = np.zeros_like(uvf.flag_array, dtype=np.bool)
uvm.metric_array[0, 0, 1, 0] = 7.
uvf.flag_array[0, 0, 0, 0] = True
# run watershed flag
xrfi.watershed_flag(uvm, uvf, nsig_p=2., inplace=True)
# check answer
flag_array = np.zeros_like(uvf.flag_array, dtype=np.bool)
flag_array[0, 0, :2, 0] = True
nt.assert_true(np.allclose(uvf.flag_array, flag_array))
# test flagging channels adjacent to fully flagged ones
uvm.metric_array = np.zeros_like(uvm.metric_array)
uvf.flag_array = np.zeros_like(uvf.flag_array, dtype=np.bool)
uvm.metric_array[:, :, 1, :] = 1.
uvf.flag_array[:, :, 0, :] = True
# run watershed flag
xrfi.watershed_flag(uvm, uvf, nsig_p=2., nsig_f=0.5, inplace=True)
# check answer
flag_array = np.zeros_like(uvf.flag_array, dtype=np.bool)
flag_array[:, :, :2, :] = True
nt.assert_true(np.allclose(uvf.flag_array, flag_array))
# test flagging times adjacent to fully flagged ones
uvm.metric_array = np.zeros_like(uvm.metric_array)
uvf.flag_array = np.zeros_like(uvf.flag_array, dtype=np.bool)
times = np.unique(uv.time_array)
inds1 = np.where(uv.time_array == times[0])[0]
inds2 = np.where(uv.time_array == times[1])[0]
uvm.metric_array[inds2, 0, :, 0] = 1.
uvf.flag_array[inds1, 0, :, 0] = True
# run watershed flag
xrfi.watershed_flag(uvm, uvf, nsig_p=2., nsig_t=0.5, inplace=True)
# check answer
flag_array = np.zeros_like(uvf.flag_array, dtype=np.bool)
flag_array[inds1, 0, :, 0] = True
flag_array[inds2, 0, :, 0] = True
nt.assert_true(np.allclose(uvf.flag_array, flag_array))
# test antenna type objects
uvc = UVCal()
uvc.read_calfits(test_c_file)
uvm = UVFlag(uvc, history='I made this')
uvf = UVFlag(uvc, mode='flag')
# set metric and flag arrays to specific values
uvm.metric_array = np.zeros_like(uvm.metric_array)
uvf.flag_array = np.zeros_like(uvf.flag_array, dtype=np.bool)
uvm.metric_array[0, 0, 0, 1, 0] = 7.
uvf.flag_array[0, 0, 0, 0, 0] = True
# run watershed flag
xrfi.watershed_flag(uvm, uvf, nsig_p=2., inplace=True)
# check answer
flag_array = np.zeros_like(uvf.flag_array, dtype=np.bool)
flag_array[0, 0, 0, :2, 0] = True
nt.assert_true(np.allclose(uvf.flag_array, flag_array))
# test flagging channels adjacent to fully flagged ones
uvm.metric_array = np.zeros_like(uvm.metric_array)
uvf.flag_array = np.zeros_like(uvf.flag_array, dtype=np.bool)
uvm.metric_array[:, :, 1, :, :] = 1.
uvf.flag_array[:, :, 0, :, :] = True
# run watershed flag
uvf2 = xrfi.watershed_flag(uvm, uvf, nsig_p=2., nsig_f=0.5, inplace=False)
# check answer
flag_array = np.zeros_like(uvf2.flag_array, dtype=np.bool)
flag_array[:, :, :2, :, :] = True
nt.assert_true(np.allclose(uvf2.flag_array, flag_array))
del(uvf2)
# test flagging times adjacent to fully flagged ones
uvm.metric_array = np.zeros_like(uvm.metric_array)
uvf.flag_array = np.zeros_like(uvf.flag_array, dtype=np.bool)
uvm.metric_array[:, :, :, 1, :] = 1.
uvf.flag_array[:, :, :, 0, :] = True
# run watershed flag
xrfi.watershed_flag(uvm, uvf, nsig_p=2., nsig_t=0.5, inplace=True)
# check answer
flag_array = np.zeros_like(uvf.flag_array, dtype=np.bool)
flag_array[:, :, :, :2, :] = True
nt.assert_true(np.allclose(uvf.flag_array, flag_array))
# test waterfall types
uv = UVData()
uv.read_miriad(test_d_file)
uvm = UVFlag(uv, history='I made this', waterfall=True)
uvf = UVFlag(uv, mode='flag', waterfall=True)
# set metric and flag arrays to specific values
uvm.metric_array = np.zeros_like(uvm.metric_array)
uvf.flag_array = np.zeros_like(uvf.flag_array, dtype=np.bool)
uvm.metric_array[0, 1, 0] = 7.
uvf.flag_array[0, 0, 0] = True
# run watershed flag
xrfi.watershed_flag(uvm, uvf, nsig_p=2., inplace=True)
# check answer
flag_array = np.zeros_like(uvf.flag_array, dtype=np.bool)
flag_array[0, :2, 0] = True
nt.assert_true(np.allclose(uvf.flag_array, flag_array))
# test flagging channels adjacent to fully flagged ones
uvm.metric_array = np.zeros_like(uvm.metric_array)
uvf.flag_array = np.zeros_like(uvf.flag_array, dtype=np.bool)
uvm.metric_array[:, 1, :] = 1.
uvf.flag_array[:, 0, :] = True
# run watershed flag
xrfi.watershed_flag(uvm, uvf, nsig_p=2., nsig_f=0.5, inplace=True)
# check answer
flag_array = np.zeros_like(uvf.flag_array, dtype=np.bool)
flag_array[:, :2, :] = True
nt.assert_true(np.allclose(uvf.flag_array, flag_array))
# test flagging times adjacent to fully flagged ones
uvm.metric_array = np.zeros_like(uvm.metric_array)
uvf.flag_array = np.zeros_like(uvf.flag_array, dtype=np.bool)
uvm.metric_array[1, :, :] = 1.
uvf.flag_array[0, :, :] = True
# run watershed flag
xrfi.watershed_flag(uvm, uvf, nsig_p=2., nsig_t=0.5, inplace=True)
# check answer
flag_array = np.zeros_like(uvf.flag_array, dtype=np.bool)
flag_array[:2, :, :] = True
nt.assert_true(np.allclose(uvf.flag_array, flag_array))
