# HG changeset patch
# User Olivier Delalleau <delallea@iro>
# Date 1243445120 14400
# Node ID d4e703a617baca96b209660374bc51b0d24672aa
# Parent  71a052a92b054fb9da507f323aa98749fca03df5
Renamed test_speed.py into check_speed.py so that nosetests does not run it

diff -r 71a052a92b05 -r d4e703a617ba pylearn/sandbox/check_speed.py
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/pylearn/sandbox/check_speed.py	Wed May 27 13:25:20 2009 -0400
@@ -0,0 +1,89 @@
+import numpy, time
+from pylearn.datasets import *
+#from misc import *
+from pylearn.old_dataset.dataset import ArrayDataSet, CachedDataSet
+from pylearn.old_dataset.lookup_list import LookupList
+
+def print_timing(f):
+    def new_f(*lst, **kw):
+        start = time.time()
+        f(*lst, **kw)
+        print "Time elapsed: %s" % (time.time() - start)
+    return new_f
+
+def run(array, ds):
+    print "test_speed", ds.__class__
+
+    mat = numpy.random.rand(400,100)
+
+    @print_timing
+    def f_array_full(a):
+        a+1
+    @print_timing
+    def f_array_index(a):
+        for id in range(a.shape[0]):
+#            pass
+            a[id]+1
+#            a[id]*mat
+    @print_timing
+    def f_array_iter(a):
+        for r in a:
+#            pass
+            r+1
+#            r*mat
+    @print_timing
+    def f_ds_index(ds):
+        for id in range(len(ds)):
+#            pass
+            ds[id][0]+1
+#            ds[id][0]*mat
+    @print_timing
+    def f_ds_iter(ds):
+        for ex in ds:
+#            pass
+            ex[0]+1
+#            a[0]*mat
+    @print_timing
+    def f_ds_mb1(ds,mb_size):
+        for exs in ds.minibatches(minibatch_size = mb_size):
+            for ex in exs:
+#                pass
+                ex[0]+1
+#                ex[0]*mat
+
+    f_array_full(array)
+    f_array_index(array)
+    f_array_iter(array)
+
+    f_ds_index(ds)
+    f_ds_iter(ds)
+
+    f_ds_mb1(ds,10)
+    f_ds_mb1(ds,100)
+    f_ds_mb1(ds,1000)
+    f_ds_mb1(ds,10000)
+
+# Subset of tests when run by nosetests.
+def run_test():
+    a2 = numpy.random.rand(100000,400)
+    ds1 = ArrayDataSet(a2,{'all':slice(0,a2.shape[1],1)})
+    run(a2, ds1)
+    return a2, ds1
+
+# Full set of tests when run from command line.
+def run_full():
+    a2, ds1 = run_test()
+    a1 = numpy.random.rand(100000,40)
+    ds4 = ArrayDataSet(a1,LookupList(["f"+str(x)for x in range(a1.shape[1])],
+                                     range(a1.shape[1])))
+    run(a2,ds4)
+    ds2=CachedDataSet(ds1,cache_all_upon_construction=False)
+    run(a2,ds2)
+    del ds2
+    ds3=CachedDataSet(ds1,cache_all_upon_construction=True)
+    run(a2,ds3)
+    del a2,ds1,ds3
+
+if __name__=='__main__':
+    run_full()
+
diff -r 71a052a92b05 -r d4e703a617ba pylearn/sandbox/test_speed.py
--- a/pylearn/sandbox/test_speed.py	Wed May 27 12:08:18 2009 -0400
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,89 +0,0 @@
-import numpy, time
-from pylearn.datasets import *
-#from misc import *
-from pylearn.old_dataset.dataset import ArrayDataSet, CachedDataSet
-from pylearn.old_dataset.lookup_list import LookupList
-
-def print_timing(f):
-    def new_f(*lst, **kw):
-        start = time.time()
-        f(*lst, **kw)
-        print "Time elapsed: %s" % (time.time() - start)
-    return new_f
-
-def run(array, ds):
-    print "test_speed", ds.__class__
-
-    mat = numpy.random.rand(400,100)
-
-    @print_timing
-    def f_array_full(a):
-        a+1
-    @print_timing
-    def f_array_index(a):
-        for id in range(a.shape[0]):
-#            pass
-            a[id]+1
-#            a[id]*mat
-    @print_timing
-    def f_array_iter(a):
-        for r in a:
-#            pass
-            r+1
-#            r*mat
-    @print_timing
-    def f_ds_index(ds):
-        for id in range(len(ds)):
-#            pass
-            ds[id][0]+1
-#            ds[id][0]*mat
-    @print_timing
-    def f_ds_iter(ds):
-        for ex in ds:
-#            pass
-            ex[0]+1
-#            a[0]*mat
-    @print_timing
-    def f_ds_mb1(ds,mb_size):
-        for exs in ds.minibatches(minibatch_size = mb_size):
-            for ex in exs:
-#                pass
-                ex[0]+1
-#                ex[0]*mat
-
-    f_array_full(array)
-    f_array_index(array)
-    f_array_iter(array)
-
-    f_ds_index(ds)
-    f_ds_iter(ds)
-
-    f_ds_mb1(ds,10)
-    f_ds_mb1(ds,100)
-    f_ds_mb1(ds,1000)
-    f_ds_mb1(ds,10000)
-
-# Subset of tests when run by nosetests.
-def run_test():
-    a2 = numpy.random.rand(100000,400)
-    ds1 = ArrayDataSet(a2,{'all':slice(0,a2.shape[1],1)})
-    run(a2, ds1)
-    return a2, ds1
-
-# Full set of tests when run from command line.
-def run_full():
-    a2, ds1 = run_test()
-    a1 = numpy.random.rand(100000,40)
-    ds4 = ArrayDataSet(a1,LookupList(["f"+str(x)for x in range(a1.shape[1])],
-                                     range(a1.shape[1])))
-    run(a2,ds4)
-    ds2=CachedDataSet(ds1,cache_all_upon_construction=False)
-    run(a2,ds2)
-    del ds2
-    ds3=CachedDataSet(ds1,cache_all_upon_construction=True)
-    run(a2,ds3)
-    del a2,ds1,ds3
-
-if __name__=='__main__':
-    run_full()
-