Remove unused things

collect_from_opcua.py

@@ -6,7 +6,6 @@
 from lofarimaging.opc_interface import download_xst
 from lofarimaging import make_xst_plots
 import threading
-import sys
 import matplotlib.pyplot as plt
 import logging
 

lofarimaging/lofarimaging.py

@@ -1,6 +1,6 @@
 """Functions for working with LOFAR single station data"""
 
-from typing import Dict, List
+from typing import Dict
 import numpy as np
 from numpy.linalg import norm, lstsq
 import numexpr as ne
@@ -125,10 +125,10 @@ def nearfield_imager(visibilities, baseline_indices, freqs, npix_p, npix_q, exte
         np.add(distances[baseline_indices[vis_chunkstart:vis_chunkend, 0]],
                -distances[baseline_indices[vis_chunkstart:vis_chunkend, 1]], out=bl_diff_chunk)
 
-        j2pi = 1j * 2 * np.pi
+        # j2pi = 1j * 2 * np.pi
         for ifreq, freq in enumerate(freqs):
-            v = visibilities[vis_chunkstart:vis_chunkend, ifreq][:, None, None]
-            lamb = SPEED_OF_LIGHT / freq
+            # v = visibilities[vis_chunkstart:vis_chunkend, ifreq][:, None, None]
+            # lamb = SPEED_OF_LIGHT / freq
 
             # v[:,np.newaxis,np.newaxis]*np.exp(-2j*np.pi*freq/c*groundbase_pixels[:,:,:]/c)
             # groundbase_pixels=nvis x npix x npix
@@ -171,7 +171,7 @@ def calibrate(vis, modelvis, maxiter=30, amplitudeonly=True):
         if amplitudeonly:
             gains = np.abs(gains).astype(np.complex128)
         if iteration % 2 == 0 and iteration > 0:
-            dg = norm(gains - gains_prev)
+            # dg = norm(gains - gains_prev)
             residual = vis.copy()
             for d in range(ndir):
                 residual -= np.diag(np.conj(gains[d])) @ modelvis[d] @ np.diag(gains[d])

lofarimaging/opc_interface.py

@@ -1,6 +1,4 @@
-import logging
-
-from opcua import ua, uamethod, Server, Client
+from opcua import Client
 import numpy as np
 
 DEFAULT_URI = "http://lofar.eu"
@@ -26,7 +24,7 @@ def download_xst(subband: int, integration_time_s: int, url: str = 'localhost',
     client = Client("opc.tcp://{}:{}/".format(url, port), timeout=1000)
     client.connect()
     client.load_type_definitions()
-    objects = client.get_objects_node()
+    # objects = client.get_objects_node()
     idx = client.get_namespace_index(DEFAULT_URI)
     obj = client.get_root_node().get_child(["0:Objects",
                                             "{}:StationMetrics".format(idx),