performance measurements
Each table row shows performance measurements for this Python 3 program with a particular command-line input value N.
| N | CPU secs | Elapsed secs | Memory KB | Code B | ≈ CPU Load |
|---|---|---|---|---|---|
| 1 | 2.00 | 2.00 | 13,956 | 322 | 2% 0% 1% 100% 0% 1% 1% 2% |
Read the ↓ make, command line, and program output logs to see how this program was run.
Read jsonbench benchmark to see what this program should do.
notes
Python 3.3.1 (default, Apr 11 2013, 12:45:45) [GCC 4.7.2] on linux
jsonbench Python 3 program source code
from __future__ import print_function
import json
import sys
EMPTY = ({}, 200000)
SIMPLE = ({'key1': 0, 'key2': True, 'key3': 'value', 'key4': 'foo', 'key5': 'string'}, 100000)
NESTED = ({'key1': 0, 'key2': SIMPLE[0], 'key3': 'value', 'key4': SIMPLE[0], 'key5': SIMPLE[0], u'key': u'\u0105\u0107\u017c'}, 100000)
HUGE = ([NESTED[0]] * 1000, 100)
cases = [EMPTY, SIMPLE, NESTED, HUGE]
def main(n):
for i in range(n):
for case in cases:
data, count = case
for i in range(count):
json_data = json.dumps(data)
json.loads(json_data)
print('OK')
main(int(sys.argv[1]))
make, command-line, and program output logs
Sun, 30 Jul 2023 10:51:20 GMT COMMAND LINE: /usr/bin/python3 jsonbench.python3 1 PROGRAM OUTPUT: OK