wren/test/benchmark/for.py

from __future__ import print_function

import time

# Map "range" to an efficient range in both Python 2 and 3.
try:
    range = xrange
except NameError:
    pass

start = time.process_time()
list = []
for i in range(0, 1000000):
  list.append(i)

sum = 0
for i in list:
  sum += i
print(sum)
print("elapsed: " + str(time.process_time() - start))
Add python3 to benchmarks. 2014-02-12 17:22:42 -08:00			`from __future__ import print_function`

For loops! 2013-12-24 21:04:11 -08:00			`import time`

Add python3 to benchmarks. 2014-02-12 17:22:42 -08:00			`# Map "range" to an efficient range in both Python 2 and 3.`
			`try:`
			`range = xrange`
			`except NameError:`
			`pass`

Fix deprecated Python timing in benchmark & give more error info. (#844) - Note: process_time gives CPU time used and perf_counter is absolute time used. - Looks to have noise of about 1-2%. 2021-01-31 05:40:20 +00:00			`start = time.process_time()`
Include numeric loop in for benchmark. 2014-01-20 08:43:10 -08:00			`list = []`
Add python3 to benchmarks. 2014-02-12 17:22:42 -08:00			`for i in range(0, 1000000):`
Include numeric loop in for benchmark. 2014-01-20 08:43:10 -08:00			`list.append(i)`

For loops! 2013-12-24 21:04:11 -08:00			`sum = 0`
			`for i in list:`
			`sum += i`
			`print(sum)`
Fix deprecated Python timing in benchmark & give more error info. (#844) - Note: process_time gives CPU time used and perf_counter is absolute time used. - Looks to have noise of about 1-2%. 2021-01-31 05:40:20 +00:00			`print("elapsed: " + str(time.process_time() - start))`