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tools/vis_timeshift.py

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+import scipy
+import numpy as np
+import matplotlib.pyplot as plt
+
+def timeshift(t, s=1.0):
+    return t/(t+(1-t)*s)
+
+def gaussian(t):
+    gs = 1+scipy.special.erf((t-t.mean())/t.std())
+
+def rs2(t, s=2.0):
+    factor1 = 1.0 #s/(s+(1-s)*t)**2
+    factor2 = np.log(t.clip(0.001, 0.999)/(1-t).clip(0.001, 0.999))
+    return factor1*factor2
+
+
+t = np.linspace(0, 1, 100)
+# plt.plot(t, timeshift(t, 1.0))
+respaced_t = timeshift(t, s=5)
+delats = (respaced_t[1:] - respaced_t[:-1])
+# plt.plot(t, timeshift(t, 1.5))
+plt.plot(rs2(t))
+plt.show()