Added a test to visually check that scipy.signal.convolve modes {'full',...

Added a test to visually check that scipy.signal.convolve modes {'full', 'valid', 'same'} have the correct behavior.

pytests/test_convolve.py

+def test_convolve_valid():
+    """
+    test to visually check that scipy.signal.convolve modes {'full', 'valid', 'same'}
+    have the correct behavior.
+    :return:
+    """
+
+    import scipy.signal
+    import numpy as np
+    in1 = np.ones(shape=(100,1))
+    in2 = np.ones(shape=(10,1))
+
+    r_full = scipy.signal.convolve(in1=in1, in2=in2, mode='full')
+    assert len(r_full) == len(in1)+len(in2)-1
+    r_valid = scipy.signal.convolve(in1=in1, in2=in2, mode='valid')
+    assert len(r_valid) == len(in1)-len(in2)+1
+    r_same = scipy.signal.convolve(in1=in1, in2=in2, mode='same')
+    assert len(r_same) == len(in1)
+
+    # import matplotlib.pyplot as plt
+    # plt.plot(r_full, label='r_full')
+    # plt.plot(r_valid+1, 'g', label='r_valid+1')
+    # plt.plot(r_same+2, 'b', label='r_same+2')
+    # plt.show()