# HG changeset patch
# User Thierry Bertin-Mahieux <bertinmt@iro.umontreal.ca>
# Date 1211564665 14400
# Node ID 1f527fe65e2245d84c9ecef73058c68d9160e364
# Parent  5b3afda2f1ad619ca85a0f9664d3a7a3c28ccb5d
test on simple slicing works

diff -r 5b3afda2f1ad -r 1f527fe65e22 _test_dataset.py
--- a/_test_dataset.py	Fri May 23 13:16:42 2008 -0400
+++ b/_test_dataset.py	Fri May 23 13:44:25 2008 -0400
@@ -1,6 +1,8 @@
 from dataset import *
 from math import *
 import unittest
+import sys
+import numpy as N
 
 def _sum_all(a):
     s=a
@@ -92,10 +94,14 @@
         print b('x+y')
         
 
+
+
 # to be used with a any new dataset
 class T_dataset_tester(object):
     """
     This class' goal is to test any new dataset that is created
+    Tests are (will be!) designed to check the normal behaviours
+    of a dataset, as defined in dataset.py
     """
 
 
@@ -121,10 +127,20 @@
         """test if slicing works properly"""
         print 'testing slicing...',
         sys.stdout.flush()
+        
         middle = len(ds) / 2
         tenpercent = int(len(ds) * .1)
         set1 = ds[:middle+tenpercent]
         set2 = ds[middle-tenpercent:]
+        for k in range(tenpercent + tenpercent -1):
+            for k2 in ds.fieldNames() :
+                if type(set1[middle-tenpercent+k](k2)[0]) == N.ndarray :
+                    for k3 in range(len(set1[middle-tenpercent+k](k2)[0])) :
+                        assert set1[middle-tenpercent+k](k2)[0][k3] == set2[k](k2)[0][k3]
+                else :
+                    assert set1[middle-tenpercent+k](k2)[0] == set2[k](k2)[0]
+
+        print 'done'
 
 
 ###################################################################