performance measurements
Each table row shows performance measurements for this PyPy 3 program with a particular command-line input value N.
| N | CPU secs | Elapsed secs | Memory KB | Code B | ≈ CPU Load |
|---|---|---|---|---|---|
| 1 | 0.96 | 0.97 | 76,696 | 322 | 0% 0% 1% 0% 0% 0% 100% 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
jsonbench PyPy 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
Fri, 09 Sep 2022 06:02:42 GMT COMMAND LINE: /usr/bin/pypy3 jsonbench.pypy3 1 PROGRAM OUTPUT: OK