Moved weave to scipy

1 files changed, 0 insertions, 89 deletions

diff --git a/scipy/weave/examples/md5_speed.py b/scipy/weave/examples/md5_speed.py
deleted file mode 100644
index 58edfbc81..000000000
--- a/scipy/weave/examples/md5_speed.py
+++ /dev/null
@@ -1,89 +0,0 @@
-"""
-Storing actual strings instead of their md5 value appears to 
-be about 10 times faster.
-
->>> md5_speed.run(200,50000)
-md5 build(len,sec): 50000 0.870999932289
-md5 retrv(len,sec): 50000 0.680999994278
-std build(len,sec): 50000 0.259999990463
-std retrv(len,sec): 50000 0.0599999427795
-
-This test actually takes several minutes to generate the random
-keys used to populate the dictionaries.  Here is a smaller run,
-but with longer keys.
-
->>> md5_speed.run(1000,4000)
-md5 build(len,sec,per): 4000 0.129999995232 3.24999988079e-005
-md5 retrv(len,sec,per): 4000 0.129999995232 3.24999988079e-005
-std build(len,sec,per): 4000 0.0500000715256 1.25000178814e-005
-std retrv(len,sec,per): 4000 0.00999999046326 2.49999761581e-006
-
-Results are similar, though not statistically to good because of
-the short times used and the available clock resolution.
-
-Still, I think it is safe to say that, for speed, it is better 
-to store entire strings instead of using md5 versions of 
-their strings.  Yeah, the expected result, but it never hurts
-to check...
-
-"""
-import random, md5, time, cStringIO
-
-def speed(n,m):
-    s = 'a'*n
-    t1 = time.time()            
-    for i in range(m):
-        q= md5.new(s).digest()
-    t2 = time.time()
-    print (t2 - t1) / m
-
-#speed(50,1e6)
-
-def generate_random(avg_length,count):
-    all_str = []
-    alphabet = 'abcdefghijklmnopqrstuvwxyz'
-    lo,hi = [30,avg_length*2+30]
-    for i in range(count):
-        new_str = cStringIO.StringIO()
-        l = random.randrange(lo,hi)
-        for i in range(l):
-            new_str.write(random.choice(alphabet))
-        all_str.append(new_str.getvalue())
-    return all_str    
-    
-def md5_dict(lst):
-    catalog = {}
-    t1 = time.time()
-    for s in lst:
-        key= md5.new(s).digest()
-        catalog[key] = None
-    t2 = time.time()    
-    print 'md5 build(len,sec,per):', len(lst), t2 - t1, (t2-t1)/len(lst)
-    
-    t1 = time.time()
-    for s in lst:
-        key= md5.new(s).digest()
-        val = catalog[key]
-    t2 = time.time()    
-    print 'md5 retrv(len,sec,per):', len(lst), t2 - t1, (t2-t1)/len(lst)
-
-def std_dict(lst):
-    catalog = {}
-    t1 = time.time()
-    for s in lst:
-        catalog[s] = None
-    t2 = time.time()    
-    print 'std build(len,sec,per):', len(lst), t2 - t1, (t2-t1)/len(lst)
-    
-    t1 = time.time()
-    for s in lst:
-        val = catalog[s]
-    t2 = time.time()    
-    print 'std retrv(len,sec,per):', len(lst), t2 - t1, (t2-t1)/len(lst)
-
-def run(m=200,n=10):
-    lst = generate_random(m,n)
-    md5_dict(lst)
-    std_dict(lst)
-
-run(2000,100)    
\ No newline at end of file