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New port: math/py-uncertainties: Calculations with uncertainties on the quantities involved
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svn2git
2021-03-31 03:12:20 +00:00
svn path=/head/; revision=465073
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SUBDIR += py-sympy
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SUBDIR += py-theano
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SUBDIR += py-ufl
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SUBDIR += py-uncertainties
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SUBDIR += py-viper
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SUBDIR += py-yt
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SUBDIR += qalculate
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math/py-uncertainties/Makefile
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math/py-uncertainties/Makefile
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# $FreeBSD$
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PORTNAME= uncertainties
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DISTVERSION= 3.0.2
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CATEGORIES= math python
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MASTER_SITES= CHEESESHOP
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PKGNAMEPREFIX= ${PYTHON_PKGNAMEPREFIX}
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MAINTAINER= yuri@FreeBSD.org
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COMMENT= Calculations with uncertainties on the quantities involved
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LICENSE= BSD2CLAUSE
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LICENSE_FILE= ${WRKSRC}/LICENSE.txt
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RUN_DEPENDS= ${PYNUMPY}
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USES= python
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USE_PYTHON= distutils autoplist
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NO_ARCH= yes
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.include <bsd.port.mk>
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math/py-uncertainties/distinfo
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math/py-uncertainties/distinfo
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TIMESTAMP = 1521533279
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SHA256 (uncertainties-3.0.2.tar.gz) = 91db922d54dff6094b4ea0d6e058f713a992cdf42e3ebaf73278e1893bfa2942
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SIZE (uncertainties-3.0.2.tar.gz) = 229516
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math/py-uncertainties/pkg-descr
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math/py-uncertainties/pkg-descr
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The uncertainties package is a free, cross-platform program that transparently
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handles calculations with numbers with uncertainties (like 3.14+/-0.01). It can
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also yield the derivatives of any expression.
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The uncertainties package takes the pain and complexity out of uncertainty
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calculations. Error propagation is not to be feared anymore!
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Calculations of results with uncertainties, or of derivatives, can be performed
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either in an interactive session (as with a calculator), or in programs written
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in the Python programming language. Existing calculation code can run with
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little or no change.
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Whatever the complexity of a calculation, this package returns its result with
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an uncertainty as predicted by linear error propagation theory. It automatically
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calculates derivatives and uses them for calculating uncertainties. Almost all
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uncertainty calculations are performed analytically.
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Correlations between variables are automatically handled, which sets this module
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a part from many existing error propagation codes.
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WWW: https://uncertainties-python-package.readthedocs.io/en/latest/
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