Add a faust test script showing how the .mat file size is related to RCG.

misc/test/src/Python/test_sparse_faust_size_vs_rcg.py

+from FaustPy import RandFaustType, Faust
+import numpy as np
+import os
+import matplotlib.pyplot as plt
+
+if __name__ == '__main__':
+    nfactors = 3
+    startd = 0.01
+    endd = 1
+    min_dim_sz = 1000
+    max_dim_sz = 1000
+    sizes = []
+    rcgs = []
+    ntests = 100
+    for i, d in zip(
+                    list(range(0, ntests)),
+        np.linspace(startd, endd, ntests)):
+        F = Faust.randFaust(RandFaustType.SPARSE, RandFaustType.REAL, nfactors,
+                            nfactors,
+                            min_dim_sz, max_dim_sz, d)
+        filepath = 'test_faust_size'+str(i)+'.mat'
+        F.save(filepath)
+        stat = os.stat(filepath)
+        sizes.append(stat.st_size)
+        rcgs.append(F.RCG())
+        os.remove(filepath)
+        plt.title('File Size vs RCG for Pure-Sparse Fausts \n('+str(nfactors)+' '
+                  'random factors '+str(min_dim_sz)+'x'+str(max_dim_sz)+')')
+    plt.xlabel('Relative Complexity Gain (RCG)')
+    plt.ylabel('File Size (bytes)')
+    #plt.scatter(rcgs, sizes, s=1)
+    plt.plot(rcgs, sizes)
+    plt.show()