# scientific-notation: Scientific notation intended for tokenization

[ bsd3, data, library ] [ Propose Tags ]

This library provides a type used to represent a number in scientific notation. This is most frequently useful when tokenizing or parsing a language. Languages like JSON and SQL support numberic literals written in scientific notation, even though backends frequently reject numbers outside a given range. This library provides a compact representation of numbers in scientific notation. In the common case of the coefficient and then exponent each being small enough to be represented by a machine word, this library avoids the need for any indirections to retrieve the number. Consider some tokenization scheme: data Token = ... | Number {--} !Scientific. In this case, the unboxed coefficient and exponent are unpacked into the Number data constructor if they can each be represented by a machine word.

The internal representation does not normalize numbers. That is, parsing 300e-2 resulting in a representation that uses 300 and -2 rather than 3 and 0. This work is deferred with the expectation that a number in scientific notation is consumed either zero or one times. This library is not optimized for use-cases that consume a Scientific more than once since normalization is reapplied every time.

The primary library that operates in this same space is scientific. Compared to scientific, this library distinguishes itself from scientific in the following ways:

• Correctness: scientific does not correctly handle large exponents. See issue #62.

• Parsing: The scientific-notation parser outperforms the scientific parser that ships with aeson by a factor of five on small numbers.

Versions [faq] 0.1.0.0, 0.1.0.1, 0.1.1.0 CHANGELOG.md base (>=4.12 && <5), bytesmith (==0.3.*) [details] BSD-3-Clause 2019 Andrew Martin Andrew Martin andrew.thaddeus@gmail.com Data https://github.com/andrewthad/scientific-notation https://github.com/andrewthad/scientific-notation/issues by andrewthad at Wed Nov 6 21:09:39 UTC 2019 NixOS:0.1.1.0 269 total (73 in the last 30 days) (no votes yet) [estimated by Bayesian average] λ λ λ Docs available Last success reported on 2019-11-06

## Modules

[Index] [Quick Jump]