Ability to run all tests at once.

Removed __init__.py

added runTests.py and .sh so that we can run all tests at one time.

code/tests/__init__.py

@@ -1,3 +0,0 @@
-# init.py
-
-from test_mesh import *

code/tests/runTests.py

@@ -0,0 +1,11 @@
+import glob
+import unittest
+
+# This code will run all tests in directory named test_*.py
+
+test_file_strings = glob.glob('test_*.py')
+module_strings = [str[0:len(str)-3] for str in test_file_strings]
+suites = [unittest.defaultTestLoader.loadTestsFromName(str) for str
+          in module_strings]
+testSuite = unittest.TestSuite(suites)
+text_runner = unittest.TextTestRunner().run(testSuite)

code/tests/runTests.sh

@@ -0,0 +1,3 @@
+#!/bin/sh
+
+python -m unittest discover

code/tests/test_basemesh.py

@@ -5,7 +5,7 @@ from BaseMesh import BaseMesh
 import numpy as np
 
 
-class TestMeshNumbers3D(unittest.TestCase):
+class TestBaseMesh(unittest.TestCase):
 
     def setUp(self):
         self.mesh = BaseMesh([6, 2, 3])

code/utils.py

@@ -75,9 +75,15 @@ def mkvc(x, numDims=1):
         return x.flatten(order='F')[:, np.newaxis, np.newaxis]
 
 
-def ndgrid(xin):
+def ndgrid(*args):
     """Form tensorial grid for 1, 2 and 3 dimensions. Return X1,X2,X3 arrays depending on the dimension"""
 
+    # you can either pass a list [x1, x2, x3] or each seperately
+    if type(args[0]) == list:
+        xin = args[0]
+    else:
+        xin = args
+
     if len(xin) == 1:
         return xin
     elif len(xin) == 2:
@@ -88,14 +94,6 @@ def ndgrid(xin):
         return np.c_[X1, X2, X3]
 
 
-def flattenF(x):
-    return np.flatten(x, order='F')
-
-
-def printF(x):
-    pass
-
-
 def ind2sub(shape, ind):
     # From the given shape, returns the subscrips of the given index
     revshp = []