Skip to main content

Python's sum, minus ugly annotations and extra arguments.

Project description

better-sum

Python's sum, minus ugly annotations and extra arguments.

Project goals

Quickstart

  1. Create a virtual environment with Python 3.9+
  2. pip install better-sum
  3. Try the code below
from __future__ import annotations  # Allows forward references on Python < 3.11
from typing import NamedTuple
from better_sum import sum, sum_starts_at_instance


@sum_starts_at_instance(0.0, 0.0)  # 1. Create & store a default instance
class Vec2(NamedTuple):

    x: float = 0.0
    y: float = 0.0

    def __add__(self, other: tuple[float, float]) -> Vec2:
        other_x, other_y = other
        return self.__class__(self.x + other_x, self.y + other_y)

    def __radd__(self, other: tuple[float, float]) -> Vec2:
        other_x, other_y = other
        return self.__class__(other_x + self.x, other_y + self.y)

 # 2. better_sum.sum automatically starts at the default instance
to_sum = [Vec2(0.0, 0.0), Vec2(1.0, 1.0), Vec2(2.0, 2.0)]
print(sum(to_sum))

As expected, this will print:

Vec(x=3.0, y=3.0)

Learn more in the usage documentation.

What's wrong with Python's sum?

It complicates code.

# The bad: verbose calls
sum(iterable, start_value)

# The ugly: gross type annotations
class SupportsSum:

    # int is ugly
    def __radd__(self, other: int | SupportsSum):
        if other == 0:
            return self
        ...

What's the catch?

A potential speed hit from indirection.

If it's a concern, then one of two things is true:

  1. You should be using binary-backed acceleration
  2. You're writing code for one of the following:
    • pyglet or another pure-Python project
    • fallback code for when binary acceleration isn't available

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

better_sum-0.1.0.tar.gz (5.2 kB view hashes)

Uploaded Source

Built Distribution

better_sum-0.1.0-py3-none-any.whl (5.9 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page