testing updates

scripts/amsbinarrayrw.py

@@ -0,0 +1,81 @@
+#!/usr/bin/python3
+import os,sys,math
+import numpy as np
+
+#Write double ndarray
+def fwrite_dndarray(fp,array):
+
+    array = np.array(array,dtype=np.float64,order='F')
+
+    Ndim = np.int32(len(array.shape))
+    shp = np.int32(array.shape)
+
+    q = Ndim.tobytes()
+    fp.write(q)
+    if(Ndim>0):
+        q = shp.tobytes()
+        fp.write(q)
+
+        q = array.tobytes()
+        fp.write(q)
+
+    return
+
+#Read double ndarray
+def fread_dndarray(fp):
+
+    array = np.zeros((),dtype=np.float64,order='F')
+
+    q = fp.read(4)
+    Ndim = np.frombuffer(q,dtype=np.int32,count=1)[0]
+    
+    if(Ndim>0):
+        q = fp.read(4*Ndim)
+        shp = np.frombuffer(q,dtype=np.int32,count=Ndim)
+        piprod = 1
+        for i in range(0,len(shp)):
+            piprod = piprod*shp[i]
+        q = fp.read(8*piprod)
+        array = np.frombuffer(q,dtype=np.float64,count=piprod)
+        array = array.reshape(shp,order='F')
+        
+    return array
+
+#Write float ndarray
+def fwrite_fndarray(fp,array):
+
+    array = np.array(array,dtype=np.float32,order='F')
+
+    Ndim = np.int32(len(array.shape))
+    shp = np.int32(array.shape)
+
+    q = Ndim.tobytes()
+    fp.write(q)
+    if(Ndim>0):
+        q = shp.tobytes()
+        fp.write(q)
+
+        q = array.tobytes()
+        fp.write(q)
+
+    return
+
+#Read float ndarray
+def fread_fndarray(fp):
+
+    array = np.zeros((),dtype=np.float32,order='F')
+
+    q = fp.read(4)
+    Ndim = np.frombuffer(q,dtype=np.int32,count=1)[0]
+    
+    if(Ndim>0):
+        q = fp.read(4*Ndim)
+        shp = np.frombuffer(q,dtype=np.int32,count=Ndim)
+        piprod = 1
+        for i in range(0,len(shp)):
+            piprod = piprod*shp[i]
+        q = fp.read(4*piprod)
+        array = np.frombuffer(q,dtype=np.float32,count=piprod)
+        array = array.reshape(shp,order='F')
+        
+    return array

scripts/checkrandomness.py

@@ -0,0 +1,31 @@
+#!/usr/bin/bash
+
+import os,sys,math
+import numpy as np
+import matplotlib.pyplot as plt
+
+from amsbinarrayrw import *
+
+def plot_random1():
+
+    fp = open("./build_linux64/tmp_testrand.bin","r+b")
+    data = fread_dndarray(fp)
+    N1 = data.shape[0]
+    N2 = int(math.sqrt(N1))
+    N3 = N2*N2
+    data = data[0:N3]
+    data = data.reshape([N2,N2])
+    q = np.zeros([N2,N2,3])
+    q[:,:,0] = data[:,:]
+    q[:,:,1] = data[:,:]
+    q[:,:,2] = data[:,:]
+    
+    hf = plt.figure(1)
+    plt.imshow(q)
+    plt.show()
+    fp.close()
+
+if(__name__=="__main__"):
+    plot_random1()
+
+    pass