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Install

Install this package:

emerge -a dev-python/numdifftools

If the package is masked, you can unmask it using the autounmask tool or standard emerge options:

autounmask dev-python/numdifftools

Or alternatively:

emerge --autounmask-write -a dev-python/numdifftools

Package Information

Description:

The numdifftools library is a suite of tools written in _Python to solve automatic numerical differentiation problems in one or more variables. Finite differences are used in an adaptive manner, coupled with a Richardson extrapolation methodology to provide a maximally accurate result. The user can configure many options like; changing the order of the method or the extrapolation, even allowing the user to specify whether complex-step, central, forward or backward differences are used.

Homepage:

https://github.com/pbord/numdifftools

License:

BSD

Versions

Metadata

Description

• The numdifftools library is a suite of tools written in _Python to solve automatic numerical differentiation problems in one or more variables. Finite differences are used in an adaptive manner, coupled with a Richardson extrapolation methodology to provide a maximally accurate result. The user can configure many options like; changing the order of the method or the extrapolation, even allowing the user to specify whether complex-step, central, forward or backward differences are used.

Maintainers

• Gentoo Science Project (sci@gentoo.org) - Type: project
• Alexander Puck Neuwirth (apn-pucky@gentoo.org) - Type: person

Upstream

• Remote IDs:
  • pypi: numdifftools
  • github: pbrod/numdifftools

<pkgmetadata>
	<maintainer type="project">
		<email>sci@gentoo.org</email>
		<name>Gentoo Science Project</name>
	</maintainer>
	<maintainer type="person">
		<email>apn-pucky@gentoo.org</email>
		<name>Alexander Puck Neuwirth</name>
	</maintainer>
	<longdescription lang="en">
		The numdifftools library is a suite of tools written in _Python to solve automatic numerical differentiation problems in one or more variables. Finite differences are used in an adaptive manner, coupled with a Richardson extrapolation methodology to provide a maximally accurate result. The user can configure many options like; changing the order of the method or the extrapolation, even allowing the user to specify whether complex-step, central, forward or backward differences are used.
	</longdescription>
	<upstream>
		<remote-id type="pypi">numdifftools</remote-id>
		<remote-id type="github">pbrod/numdifftools</remote-id>
	</upstream>
</pkgmetadata>

Lint Warnings

• [Error] Missing md5-cache for ebuild numdifftools-0.9.42
• [Error] Missing md5-cache for ebuild numdifftools-0.9.41

Manifest