Python Interpreters Benchmarks
x64 ArchLinux : AMD® Ryzen 7 4700U®

- all benchmarks - n-body fannkuch-redux meteor-contest fasta fasta-redux fibonacci fib50 spectral-norm reverse-complement mandelbrot k-nucleotide regex-dna pidigits chameneos-redux templates thread-ring binary-trees-redux binary-trees pystone richards iobench jsonbench - all languages - Python 2 PyPy Python 3 Python dev PyPy 3 Jython IronPython Cython Nuitka Shedskin Numba Pyston MicroPython Grumpy Graal RustPython x64 octa-core

 performance measurements

Each table row shows performance measurements for this Numba program with a particular command-line input value N.

N	CPU secs	Elapsed secs	Memory KB	Code B	≈ CPU Load
1,000	1.62	1.64	121,232	344	24% 19% 99% 23% 24% 24% 26% 19%

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 Numba program source code

import sys

from jinja2 import Template
from numba import jit

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


@jit(forceobj=True)
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

 Wed, 12 Jan 2022 12:00:34 GMT

COMMAND LINE:
 /usr/bin/python3 templates.numba 1000

PROGRAM OUTPUT:

<ul>

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

</ul>

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