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Python Interpreters Benchmarks      [[ Play ]]

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 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
1,000	4.33	4.39	117,212	322	12% 14% 90% 6%
1,000	4.45	4.48	118,440	322	15% 14% 15% 100%
1,000	4.20	4.24	117,700	322	14% 100% 9% 11%

Read the ↓ make, command line, and program output logs to see how this program was run.

Read templates benchmark to see what this program should do.

 notes

 templates PyPy 3 program source code

import sys
from jinja2 import Template

templ = """

{% for user in users %}
  
{{ user.username }}
{% endfor %}

"""


class User(object):
    __slots__ = ('user_id', 'username')

    def __init__(self, user_id, username):
        self.user_id = user_id
        self.username = username


def render_template(user_id):
    users = [
        User(user_id, 'SomeUsername')
    ]

    template = Template(templ)
    return template.render(users=users)


def main():
    n = int(sys.argv[1])

    for i in range(n):
        res = render_template(i)

    print(res)

main()

 make, command-line, and program output logs

Tue, 12 Feb 2019 12:32:52 GMT

COMMAND LINE:
/usr/bin/pypy3 templates.pypy3 1000

PROGRAM OUTPUT:

<ul>

  <li><a href="/user/999">SomeUsername</a></li>

</ul>

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