Skip to main content

Variety of rounding methods and implementations

Project description

Rounding methods

StandardRound rounds to the nearest, and in the event of a tie, rounds up.

RoundToEven rounds to the nearest, but in the event of a tie, rounds toward the nearest even number.

StochasticRound provides a mechanism to eliminate accumulated roundoff error in the presence of a distribution where for individual samples, the roundoff error is skewed. This is typically caused by small values. This may be a common problem when dealing with applying a function to many small integer values as the number of discreet inputs is small.

One drawback to stochastic rounding is the output is non-deterministic, but this can be avoided by providing a custom deterministic generator, or invoking providing the random number generator with a fixed seed.

r = random.Random()
r.seed(123)
sr = StochasticRound(precision=0, random_generator=r)

Project details


Release history Release notifications

This version
History Node

0.4

History Node

0.03

History Node

0.02

History Node

0.01

Download files

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

Filename, size & hash SHA256 hash help File type Python version Upload date
rounding-0.4.tar.gz (2.8 kB) Copy SHA256 hash SHA256 Source None Jun 30, 2016

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging CloudAMQP CloudAMQP RabbitMQ AWS AWS Cloud computing Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page