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Code/S_get_number_DL.py

@@ -9,6 +9,8 @@ def get_number_DL(n):
         return 1000000
     elif np.abs(n - int(n)) < epsilon:
         return np.log2(1+abs(n))
+    elif np.abs(n - np.pi) < epsilon:
+        return np.log2(1+3)
     # check if real
     else:
         PrecisionFloorLoss = 1e-14

Code/S_get_number_DL_snapped.py

@@ -13,6 +13,8 @@ def get_number_DL_snapped(n):
     elif np.abs(n - bestApproximation(n,10000)[0]) < epsilon:
         _, numerator, denominator, _ = bestApproximation(n, 10000)
         return np.log2((1 + abs(numerator)) * abs(denominator))
+    elif np.abs(n - np.pi) < epsilon:
+        return np.log2(1+3)
     else:
         PrecisionFloorLoss = 1e-14
         return np.log2(1 + (float(n) / PrecisionFloorLoss) ** 2) / 2

Code/S_run_aifeynman.py

@@ -21,6 +21,7 @@ from S_add_snap_expr_on_pareto import add_snap_expr_on_pareto
 from S_add_sym_on_pareto import add_sym_on_pareto
 from S_run_bf_polyfit import run_bf_polyfit
 from S_final_gd import final_gd
+from S_add_bf_on_numbers_on_pareto import add_bf_on_numbers_on_pareto
 from dimensionalAnalysis import dimensionalAnalysis
 
 PA = ParetoSet()