Parents (Total: 3)

The searched file hash is included in 3 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
FileSize	27284
MD5	841C69E63AC761E7318305521AF6E1D8
PackageDescription	Affine-invariant ensemble MCMC sampling for Python 3 emcee is an extensible, pure-Python implementation of Goodman & Weare's Affine Invariant Markov chain Monte Carlo (MCMC) Ensemble sampler. It's designed for Bayesian parameter estimation.
PackageMaintainer	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	python3-emcee
PackageSection	python
PackageVersion	3.0.2-2
SHA-1	006FF24CE3B43A21DC9C55BD791E81C55650B6A1
SHA-256	02B993A48F195D43CFC444060880A87C4A62D68EA343A816F53ECE0FBC0F1482

Key	Value
MD5	E78E55C5EDE1471548A524D292B51F87
PackageArch	noarch
PackageDescription	Emcee is a stable, well tested Python implementation of the affine-invariant ensemble sampler for Markov chain Monte Carlo (MCMC) proposed by Goodman & Weare (2010). The code is open source and has already been used in several published projects in the Astrophysics literature. This is the Python 3 package.
PackageMaintainer	guillomovitch <guillomovitch>
PackageName	python3-emcee
PackageRelease	1.mga8
PackageVersion	3.0.2
SHA-1	477420828217654F6CE9F89C0E9143E515C37AB5
SHA-256	44C92350AFBC55FC12E895A626B988EA02BED472AA8F4FD469285AD70D59CF7C

Key	Value
FileSize	28804
MD5	6BF3059A1F478DE005F39794366850C4
PackageDescription	Affine-invariant ensemble MCMC sampling for Python 3 emcee is an extensible, pure-Python implementation of Goodman & Weare's Affine Invariant Markov chain Monte Carlo (MCMC) Ensemble sampler. It's designed for Bayesian parameter estimation.
PackageMaintainer	Debian Astronomy Team <debian-astro-maintainers@lists.alioth.debian.org>
PackageName	python3-emcee
PackageSection	python
PackageVersion	3.0.2-2
SHA-1	17986342F25FF116DC62559DE43D1877E085A237
SHA-256	76562CE931F850D729942D31AF72434BE3B8D8D1A0731162D16041F018A25B43