### Commits

- [New] add `round` [`7cfb044`](https://github.com/es-shims/math-intrinsics/commit/7cfb04460c0fbdf1ca101eecbac3f59d11994130)
- [Tests] add attw [`e96be8f`](https://github.com/es-shims/math-intrinsics/commit/e96be8fbf58449eafe976446a0470e6ea561ad8d)
- [Dev Deps] update `@types/tape` [`30d0023`](https://github.com/es-shims/math-intrinsics/commit/30d00234ce8a3fa0094a61cd55d6686eb91e36ec)

[v1.1.0](https://github.com/es-shims/math-intrinsics/compare/v1.0.0...v1.1.0) - 2024-12-18

# math-intrinsics <sup>[![Version Badge][npm-version-svg]][package-url]</sup>

[![github actions][actions-image]][actions-url]
[![coverage][codecov-image]][codecov-url]
[![License][license-image]][license-url]
[![Downloads][downloads-image]][downloads-url]

[![npm badge][npm-badge-png]][package-url]

ES Math-related intrinsics and helpers, robustly cached.

 - `abs`
 - `floor`
 - `isFinite`
 - `isInteger`
 - `isNaN`
 - `isNegativeZero`
 - `max`
 - `min`
 - `mod`
 - `pow`
 - `round`
 - `sign`
 - `constants/maxArrayLength`
 - `constants/maxSafeInteger`
 - `constants/maxValue`


## Tests
Simply clone the repo, `npm install`, and run `npm test`

## Security

Please email [@ljharb](https://github.com/ljharb) or see https://tidelift.com/security if you have a potential security vulnerability to report.

[package-url]: https://npmjs.org/package/math-intrinsics
[npm-version-svg]: https://versionbadg.es/es-shims/math-intrinsics.svg
[deps-svg]: https://david-dm.org/es-shims/math-intrinsics.svg
[deps-url]: https://david-dm.org/es-shims/math-intrinsics
[dev-deps-svg]: https://david-dm.org/es-shims/math-intrinsics/dev-status.svg
[dev-deps-url]: https://david-dm.org/es-shims/math-intrinsics#info=devDependencies
[npm-badge-png]: https://nodei.co/npm/math-intrinsics.png?downloads=true&stars=true
[license-image]: https://img.shields.io/npm/l/math-intrinsics.svg
[license-url]: LICENSE
[downloads-image]: https://img.shields.io/npm/dm/es-object.svg
[downloads-url]: https://npm-stat.com/charts.html?package=math-intrinsics
[codecov-image]: https://codecov.io/gh/es-shims/math-intrinsics/branch/main/graphs/badge.svg
[codecov-url]: https://app.codecov.io/gh/es-shims/math-intrinsics/
[actions-image]: https://img.shields.io/endpoint?url=https://github-actions-badge-u3jn4tfpocch.runkit.sh/es-shims/math-intrinsics
[actions-url]: https://github.com/es-shims/math-intrinsics/actions


ES Math-related intrinsics and helpers, robustly cached. 

Socket Acquires Coana to Bring Reachability Analysis to Every Appsec Team

math-intrinsics

ES Math-related intrinsics and helpers, robustly cached.

ljharb

(Experimental) An ambiguous license classifier was found.

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Ambiguous License Classifier

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Bad semver

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Bad dependency semver

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Bidirectional unicode control characters

This package has multiple bin scripts with the same name. This can cause non-deterministic behavior when installing or could be a sign of a supply chain attack.

What is bin script confusion?

Bin script confusion

Semantic versions published out of chronological order.

What is a chronological version anomaly?

Chronological version anomaly

Project maintainer's SSH key has been compromised.

What is a compromised SSH key?

Compromised SSH key

(Experimental) Copyleft license information was found.

What do I need to know about license files?

Copyleft License

Contains a Critical Common Vulnerability and Exposure (CVE).

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Title

Critical CVE

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High CVE

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Debug access

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Deprecated

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Deprecated SPDX exception

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Deprecated license

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Possible typosquat attack

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Dynamic require

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Empty package

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Environment variable access

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Name

Extraneous dependency

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File dependency

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What is filesystem access?

Filesystem access

Package has a dependency with a floating version range. This can cause issues if the dependency publishes a new major version.

What are wildcard dependencies?

Wildcard dependency

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What are git dependencies?

Git dependency

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GitHub dependency

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AI-detected potential code anomaly

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AI-detected potential malware

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AI-detected potential security risk

Contains native code (e.g., compiled binaries or shared libraries). Including native code can obscure malicious behavior.

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Native code

Contains high entropy strings. This could be a sign of encrypted data, leaked secrets or obfuscated code.

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High entropy strings

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Unicode homoglyphs

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HTTP dependency

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Install scripts

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Invisible chars

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Long strings

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Major refactor

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Known malware

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Manifest confusion

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Medium CVE

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Low CVE

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Modified license

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Network access

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New author

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No repository

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No tests

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math-intrinsics

math-intrinsics

Tests

Security

v1.1.0 - 2024-12-18

Commits

Related posts

math-intrinsics

math-intrinsics

Tests

Security

v1.1.0 - 2024-12-18

Commits

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