def run_multiple_random_inserts():
from pyrsistent import _pvector as _pvector
indices = [2, 405, 56, 5067, 15063, 7045, 19999, 10022, 6000, 4023]
for x in range(4):
indices.extend([i + 318 for i in indices])
print("Number of accesses: %s" % len(indices))
print("Number of elements in vector: %s" % max(indices))
original = _pvector(range(max(indices) + 1))
original2 = _pvector(range(max(indices) + 1))
# Using ordinary set
start = time.time()
new = original
for r in range(10000):
for i in indices:
new = new.set(i, 0)
print("Done simple, time=%s s, iterations=%s" %
(time.time() - start, 10000 * len(indices)))
assert original == original2
# Using setter view
start = time.time()
evolver = original.evolver()
for r in range(10000):
for i in indices:
evolver[i] = 0
new2 = evolver.persistent()
print("Done evolver, time=%s s, iterations=%s" %
(time.time() - start, 10000 * len(indices)))
assert original == original2
def interleave(it1, it2):
for i in zip(it1, it2):
for j in i:
yield j
# Using mset
start = time.time()
new3 = original
args = list(interleave(indices, repeat(0)))
for _ in range(10000):
new3 = new3.mset(*args)
print("Done mset, time=%s s, iterations=%s" %
(time.time() - start, 10000 * len(args) / 2))
assert list(new) == list(new2)
assert list(new2) == list(new3)
def run_multiple_random_inserts():
from pyrsistent import _pvector as _pvector
indices = [2, 405, 56, 5067, 15063, 7045, 19999, 10022, 6000, 4023]
for x in range(4):
indices.extend([i+318 for i in indices])
print("Number of accesses: %s" % len(indices))
print("Number of elements in vector: %s" % max(indices))
original = _pvector(range(max(indices) + 1))
original2 = _pvector(range(max(indices) + 1))
# Using ordinary set
start = time.time()
new = original
for r in range(10000):
for i in indices:
new = new.set(i, 0)
print("Done simple, time=%s s, iterations=%s" % (time.time() - start, 10000 * len(indices)))
assert original == original2
# Using setter view
start = time.time()
evolver = original.evolver()
for r in range(10000):
for i in indices:
evolver[i] = 0
new2 = evolver.persistent()
print("Done evolver, time=%s s, iterations=%s" % (time.time() - start, 10000 * len(indices)))
assert original == original2
def interleave(it1, it2):
for i in zip(it1, it2):
for j in i:
yield j
# Using mset
start = time.time()
new3 = original
args = list(interleave(indices, repeat(0)))
for _ in range(10000):
new3 = new3.mset(*args)
print("Done mset, time=%s s, iterations=%s" % (time.time() - start, 10000 * len(args)/2))
assert list(new) == list(new2)
assert list(new2) == list(new3)
def _large_native_vector():
large_native_vector = _pvector(range(2000))
def create_empty_native_pvector():
for x in range(1000):
_ = _pvector()
def _small_python_vector():
small_python_vector = _pvector(range(10))
def append_native_pvector():
v = _pvector()
for x in range(100):
v = v.append(x)
def create_large_native_pvector():
for x in range(10):
_ = _pvector(large_list)
def create_small_native_pvector():
for x in range(100):
_ = _pvector(small_list)
def create_large_native_pvector():
for x in range(10):
_ = _pvector(large_list)
def create_small_python_pvector():
for x in range(100):
_ = _pvector(small_list)
def create_small_native_pvector():
for x in range(100):
_ = _pvector(small_list)
def create_empty_python_pvector():
for x in range(1000):
_ = _pvector()
def _large_python_vector():
large_python_vector = _pvector(range(2000))
def _large_native_vector():
large_native_vector = _pvector(range(2000))
def create_empty_native_pvector():
for x in range(1000):
_ = _pvector()
def _large_python_vector():
large_python_vector = _pvector(range(2000))
def create_empty_python_pvector():
for x in range(1000):
_ = _pvector()
def create_large_python_pvector():
for x in range(10):
_ = _pvector(large_list)
def create_small_python_pvector():
for x in range(100):
_ = _pvector(small_list)
def append_native_pvector():
v = _pvector()
for x in range(100):
v = v.append(x)
def create_large_python_pvector():
for x in range(10):
_ = _pvector(large_list)
def append_python_pvector():
v = _pvector()
for x in range(100):
v = v.append(x)
def append_python_pvector():
v = _pvector()
for x in range(100):
v = v.append(x)
def _small_native_vector():
small_native_vector = _pvector(range(10))
def _small_python_vector():
small_python_vector = _pvector(range(10))
def _small_native_vector():
small_native_vector = _pvector(range(10))
