diff options
Diffstat (limited to 'git/test/performance/test_utils.py')
| -rw-r--r-- | git/test/performance/test_utils.py | 40 |
1 files changed, 20 insertions, 20 deletions
diff --git a/git/test/performance/test_utils.py b/git/test/performance/test_utils.py index 8637af48..7de77970 100644 --- a/git/test/performance/test_utils.py +++ b/git/test/performance/test_utils.py @@ -9,29 +9,29 @@ from lib import ( class TestUtilPerformance(TestBigRepoR): - + def test_access(self): # compare dict vs. slot access class Slotty(object): __slots__ = "attr" def __init__(self): self.attr = 1 - + class Dicty(object): def __init__(self): self.attr = 1 - + class BigSlotty(object): __slots__ = ('attr', ) + tuple('abcdefghijk') def __init__(self): for attr in self.__slots__: setattr(self, attr, 1) - + class BigDicty(object): def __init__(self): for attr in BigSlotty.__slots__: setattr(self, attr, 1) - + ni = 1000000 for cls in (Slotty, Dicty, BigSlotty, BigDicty): cli = cls() @@ -42,7 +42,7 @@ class TestUtilPerformance(TestBigRepoR): elapsed = time() - st print >> sys.stderr, "Accessed %s.attr %i times in %s s ( %f acc / s)" % (cls.__name__, ni, elapsed, ni / elapsed) # END for each class type - + # check num of sequence-acceses for cls in (list, tuple): x = 10 @@ -57,7 +57,7 @@ class TestUtilPerformance(TestBigRepoR): na = ni * 3 print >> sys.stderr, "Accessed %s[x] %i times in %s s ( %f acc / s)" % (cls.__name__, na, elapsed, na / elapsed) # END for each sequence - + def test_instantiation(self): ni = 100000 max_num_items = 4 @@ -83,7 +83,7 @@ class TestUtilPerformance(TestBigRepoR): print >> sys.stderr, "Created %i %ss of size %i in %f s ( %f inst / s)" % (ni, cls.__name__, mni, elapsed, ni / elapsed) # END for each type # END for each item count - + # tuple and tuple direct st = time() for i in xrange(ni): @@ -91,19 +91,19 @@ class TestUtilPerformance(TestBigRepoR): # END for each item elapsed = time() - st print >> sys.stderr, "Created %i tuples (1,2,3,4) in %f s ( %f tuples / s)" % (ni, elapsed, ni / elapsed) - + st = time() for i in xrange(ni): t = tuple((1,2,3,4)) # END for each item elapsed = time() - st print >> sys.stderr, "Created %i tuples tuple((1,2,3,4)) in %f s ( %f tuples / s)" % (ni, elapsed, ni / elapsed) - + def test_unpacking_vs_indexing(self): ni = 1000000 list_items = [1,2,3,4] tuple_items = (1,2,3,4) - + for sequence in (list_items, tuple_items): st = time() for i in xrange(ni): @@ -111,14 +111,14 @@ class TestUtilPerformance(TestBigRepoR): # END for eac iteration elapsed = time() - st print >> sys.stderr, "Unpacked %i %ss of size %i in %f s ( %f acc / s)" % (ni, type(sequence).__name__, len(sequence), elapsed, ni / elapsed) - + st = time() for i in xrange(ni): one, two, three, four = sequence[0], sequence[1], sequence[2], sequence[3] # END for eac iteration elapsed = time() - st print >> sys.stderr, "Unpacked %i %ss of size %i individually in %f s ( %f acc / s)" % (ni, type(sequence).__name__, len(sequence), elapsed, ni / elapsed) - + st = time() for i in xrange(ni): one, two = sequence[0], sequence[1] @@ -126,14 +126,14 @@ class TestUtilPerformance(TestBigRepoR): elapsed = time() - st print >> sys.stderr, "Unpacked %i %ss of size %i individually (2 of 4) in %f s ( %f acc / s)" % (ni, type(sequence).__name__, len(sequence), elapsed, ni / elapsed) # END for each sequence - + def test_large_list_vs_iteration(self): # what costs more: alloc/realloc of lists, or the cpu strain of iterators ? def slow_iter(ni): for i in xrange(ni): yield i # END slow iter - be closer to the real world - + # alloc doesn't play a role here it seems for ni in (500, 1000, 10000, 20000, 40000): st = time() @@ -142,7 +142,7 @@ class TestUtilPerformance(TestBigRepoR): # END for each item elapsed = time() - st print >> sys.stderr, "Iterated %i items from list in %f s ( %f acc / s)" % (ni, elapsed, ni / elapsed) - + st = time() for i in slow_iter(ni): i @@ -150,14 +150,14 @@ class TestUtilPerformance(TestBigRepoR): elapsed = time() - st print >> sys.stderr, "Iterated %i items from iterator in %f s ( %f acc / s)" % (ni, elapsed, ni / elapsed) # END for each number of iterations - + def test_type_vs_inst_class(self): class NewType(object): pass - + # lets see which way is faster inst = NewType() - + ni = 1000000 st = time() for i in xrange(ni): @@ -165,7 +165,7 @@ class TestUtilPerformance(TestBigRepoR): # END for each item elapsed = time() - st print >> sys.stderr, "Created %i items using inst.__class__ in %f s ( %f items / s)" % (ni, elapsed, ni / elapsed) - + st = time() for i in xrange(ni): type(inst)() |