From 990d01ce9dbee457b5a6155cc61b9792ad7299ea Mon Sep 17 00:00:00 2001
From: ignis <ignisization@gmail.com>
Date: Mon, 5 Aug 2019 02:12:45 +0900
Subject: [PATCH] python3 print function

---
 code/pycompact/pycompact.py | 39 ++++++++++++++++++-------------------
 1 file changed, 19 insertions(+), 20 deletions(-)

diff --git a/code/pycompact/pycompact.py b/code/pycompact/pycompact.py
index 1934a80..dd553a2 100644
--- a/code/pycompact/pycompact.py
+++ b/code/pycompact/pycompact.py
@@ -75,7 +75,6 @@ class CompactScheme:
         else:
             for i in range(nz):
                 xsrc[:] = src[i]
-                print xsrc.shape
                 dst[i] = compact.dfnonp(self.hx, xsrc, 1)
 
         # return np.swapaxes(dst, 1, 2)
@@ -142,23 +141,23 @@ def read_old_data (fname):
         dummy = f1.read(dummy_len)
        #dummy = f1.read(4)
 
-        print t, nx, ny, nz
+        print (t, nx, ny, nz)
         
        #raw_field = f1.read(4+bSize*5+4)[4:-4]
         V = np.fromfile(f1, dtype=np.float64, count=(3*count)).reshape((3,nz,ny,nx))
         s = np.fromfile(f1, dtype=np.float64, count=(2*count)).reshape((nz,ny,nx,2))
 
-        print V.order
-        print s.order
+        print (V.order)
+        print (s.order)
 
-        print V.shape
-        print s.shape
+        print (V.shape)
+        print (s.shape)
 
         V.order="F"
         s.order="F"
 
-        print V.shape
-        print s.shape
+        print (V.shape)
+        print (s.shape)
 
         u = V[0]
         v = V[1]
@@ -192,17 +191,17 @@ def read_data (fname):
         V = np.fromfile(f1, dtype=np.float64, count=(3*count)).reshape((3,nz,ny,nx))
         s = np.fromfile(f1, dtype=np.float64, count=(2*count)).reshape((2,nz,ny,nx))
 
-        print V.order
-        print s.order
+        print (V.order)
+        print (s.order)
 
-        print V.shape
-        print s.shape
+        print (V.shape)
+        print (s.shape)
 
         V.order="F"
         s.order="F"
 
-        print V.shape
-        print s.shape
+        print (V.shape)
+        print (s.shape)
 
         u = V[0]
         v = V[1]
@@ -222,7 +221,7 @@ def validate_trigonometric():
 
     pi8 = np.arccos(-1.)
 
-    print pi8
+    print (pi8)
 
     l_0 = 2.0
     hyp=l_0*pi8/ny
@@ -257,12 +256,12 @@ def validate_trigonometric():
     dydx[:] = cs.ddx(Y1)[:]
 
 
-    print dydx.min(), dydx.max()
-    print dydxtrue.min(), dydxtrue.max()
+    print (dydx.min(), dydx.max())
+    print (dydxtrue.min(), dydxtrue.max())
 
     relerr = (dydx - dydxtrue) / dydxtrue
 
-    print np.nanmin(relerr), np.nanmax(relerr)
+    print (np.nanmin(relerr), np.nanmax(relerr))
 
     # cs.verify_nonp_coef()
 
@@ -281,7 +280,7 @@ def test_dns_data():
     
     y[:] = Y1[:]
 
-    print y.min(), y.max()
+    print (y.min(), y.max())
 
     dydx = np.memmap("dyr", dtype=np.float64, mode="w+", shape=cs.shape)
 
@@ -289,7 +288,7 @@ def test_dns_data():
 
     dydx.flush()
 
-    print dydx.min(), dydx.max()
+    print (dydx.min(), dydx.max())