Making some of my library code public.

test_scripts/test_dbuff_dpr32.py

@@ -0,0 +1,76 @@
+#!/usr/bin/python3
+
+import os,sys,math
+import numpy as np
+import matplotlib.pyplot as plt
+
+#################
+## Subroutines ##
+#################
+
+def binload_float_ndarray(fp):
+    arr = np.zeros((0),dtype=np.float32,order='F')
+
+    qb = fp.read(4)
+    Nd = np.frombuffer(qb,dtype=np.int32,count=1)[0]
+    shp = np.zeros((Nd),dtype=np.int32)
+
+    piprod = 1
+    for I in range(0,Nd):
+        qb = fp.read(4)
+        shp[I] = np.frombuffer(qb,dtype=np.int32,count=1)[0]
+        piprod = piprod*shp[I]
+    
+    qb = fp.read(4*piprod)
+    arr = np.frombuffer(qb,dtype=np.float32,count=piprod)
+
+    arr = arr.reshape(shp)
+    
+    return arr;
+
+def binsave_float_ndarray(fp,arr):
+
+
+
+
+    return
+
+
+#################
+## Main Script ##
+#################
+
+def test_1():
+
+    fname = "./test_scripts/test_dbuff_rand_dpr32.bin"
+    try:
+        fp = open(fname,"rb")
+    except:
+        print("Could not open {} for reading".format(fname))
+        return
+    
+    arr1 = binload_float_ndarray(fp)
+    arr2 = binload_float_ndarray(fp)
+
+    fp.close()
+
+    plt.subplot(2,2,1)
+    plt.imshow(arr1)
+    plt.subplot(2,2,2)
+    plt.imshow(arr2)
+    plt.subplot(2,2,3)
+    plt.hist(arr1.flatten(),bins=100)
+    plt.subplot(2,2,4)
+    plt.hist(arr2.flatten(),bins=100)
+    plt.show()
+
+    print("{} {}".format(np.mean(arr2),np.std(arr2)))
+    
+
+    return
+
+if(__name__=="__main__"):
+    test_1()
+
+    exit(0)
+