rithm 14.7.0

Arbitrary precision arithmetic.
Documentation 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32

import numpy as np
import perfplot
from rithm._crithm import Int, Int2

perfplot.show(
    setup=lambda n: list(
        zip(
            *[
                (Int(raw), Int2(raw))
                for raw in np.random.randint(-(10**6), 10**6, n)
            ]
        )
    ),
    kernels=[
        lambda a: sum(a[0]),
        lambda a: sum(a[1]),
    ],
    labels=['old', 'new'],
    n_range=[2**k for k in range(25)],
    xlabel='len(a)',
    # More optional arguments with their default values:
    # logx="auto",  # set to True or False to force scaling
    # logy="auto",
    # equality_check=np.allclose,  # set to None to disable "correctness" assertion
    equality_check=None,
    # show_progress=True,
    # target_time_per_measurement=1.0,
    # max_time=None,  # maximum time per measurement
    # time_unit="s",  # set to one of ("auto", "s", "ms", "us", or "ns") to force plot units
    # relative_to=1,  # plot the timings relative to one of the measurements
    # flops=lambda n: 3*n,  # FLOPS plots
)