def test_to_waterfall_bl_flags_or():
uvf = UVFlag(test_f_file)
uvf.to_flag()
uvf.weights_array = np.ones_like(uvf.weights_array)
uvf.to_waterfall(method='or')
nt.assert_true(uvf.type == 'waterfall')
nt.assert_true(uvf.mode == 'flag')
nt.assert_true(uvf.flag_array.shape == (len(uvf.time_array),
len(uvf.freq_array),
len(uvf.polarization_array)))
nt.assert_true(
np.array_equal(uvf.weights_array, np.ones_like(uvf.flag_array,
np.float)))
uvf = UVFlag(test_f_file)
uvf.to_flag()
uvf.weights_array = np.ones_like(uvf.weights_array)
uvf.weights_array[0, 0, 0, 0] = 0.2
uvtest.checkWarnings(uvf.to_waterfall, [], {'method': 'or'},
nwarnings=1,
message='Currently weights are')
nt.assert_true(uvf.type == 'waterfall')
nt.assert_true(uvf.mode == 'flag')
nt.assert_true(uvf.flag_array.shape == (len(uvf.time_array),
len(uvf.freq_array),
len(uvf.polarization_array)))
nt.assert_true(
np.array_equal(uvf.weights_array, np.ones_like(uvf.flag_array,
np.float)))
def test_to_waterfall_waterfall():
uvf = UVFlag(test_f_file)
uvf.weights_array = np.ones_like(uvf.weights_array)
uvf.to_waterfall()
uvtest.checkWarnings(uvf.to_waterfall, [], {},
nwarnings=1,
message='This object is already a waterfall')
def test_to_waterfall_bl():
uvf = UVFlag(test_f_file)
uvf.weights_array = np.ones_like(uvf.weights_array)
uvf.to_waterfall()
nt.assert_true(uvf.type == 'waterfall')
nt.assert_true(uvf.metric_array.shape == (len(uvf.time_array),
len(uvf.freq_array),
len(uvf.polarization_array)))
nt.assert_true(uvf.weights_array.shape == uvf.metric_array.shape)
def test_to_waterfall_ant():
uvc = UVCal()
uvc.read_calfits(test_c_file)
uvf = UVFlag(uvc)
uvf.weights_array = np.ones_like(uvf.weights_array)
uvf.to_waterfall()
nt.assert_true(uvf.type == 'waterfall')
nt.assert_true(uvf.metric_array.shape == (len(uvf.time_array),
len(uvf.freq_array),
len(uvf.polarization_array)))
nt.assert_true(uvf.weights_array.shape == uvf.metric_array.shape)
def test_to_waterfall_bl_multi_pol():
uvf = UVFlag(test_f_file)
uvf.weights_array = np.ones_like(uvf.weights_array)
uvf2 = uvf.copy()
uvf2.polarization_array[0] = -4
uvf.__add__(uvf2, inplace=True,
axis='pol') # Concatenate to form multi-pol object
uvf2 = uvf.copy() # Keep a copy to run with keep_pol=False
uvf.to_waterfall()
nt.assert_true(uvf.type == 'waterfall')
nt.assert_true(uvf.metric_array.shape == (len(uvf.time_array),
len(uvf.freq_array),
len(uvf.polarization_array)))
nt.assert_true(uvf.weights_array.shape == uvf.metric_array.shape)
nt.assert_true(len(uvf.polarization_array) == 2)
# Repeat with keep_pol=False
uvf2.to_waterfall(keep_pol=False)
nt.assert_true(uvf2.type == 'waterfall')
nt.assert_true(uvf2.metric_array.shape == (len(uvf2.time_array),
len(uvf.freq_array), 1))
nt.assert_true(uvf2.weights_array.shape == uvf2.metric_array.shape)
nt.assert_true(len(uvf2.polarization_array) == 1)
nt.assert_true(uvf2.polarization_array[0] == ','.join(
map(str, uvf.polarization_array)))