deprecate: Fix NumPy deprecation warnings

NumPy puts out deprecation warnings in situations where aliases to
built-in types are used. Thus, we switch to built-in types.

Signed-off-by: Johannes Demel <[email protected]>

Author: jdemel

python/qa_sc_delay_corr.py

@@ -23,7 +23,7 @@ def tearDown(self):
     def test_001_t(self):
         # generate a random Schmidl&Cox preamble
         d = np.random.normal(0.0, 1, 32) + 1j * np.random.normal(0.0, 1, 32)
-        s = np.zeros(64, dtype=np.complex)
+        s = np.zeros(64, dtype=complex)
         s[::2] = d
         sync_seq = np.fft.ifft(s)
 

python/qa_sc_tagger.py

@@ -24,7 +24,7 @@ def tearDown(self):
     def test_001_t(self):
         # generate a random Schmidl&Cox preamble
         d = np.random.normal(0.0, 1, 32) + 1j * np.random.normal(0.0, 1, 32)
-        s = np.zeros(64, dtype=np.complex)
+        s = np.zeros(64, dtype=complex)
         s[::2] = d
         sync_seq = np.fft.ifft(s)
 

python/qa_xcorr_tagger.py

@@ -28,7 +28,7 @@ def tearDown(self):
     def test_001_t(self):
         # generate a random Schmidl&Cox preamble
         d = np.random.normal(0.0, 1, 32) + 1j * np.random.normal(0.0, 1, 32)
-        s = np.zeros(64, dtype=np.complex)
+        s = np.zeros(64, dtype=complex)
         s[::2] = d
         sync_seq = np.fft.ifft(s).astype(np.complex64)
         sync_seq /= np.sqrt(np.mean(sync_seq ** 2))