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
MD5	767CD93A1EC92167E45E132C76566B0B
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.
PackageMaintainer	Fedora Project
PackageName	python3-emcee
PackageRelease	5.fc33
PackageVersion	3.0.0
SHA-1	167664F6BD8C0380F074E2BA09EC1248D27BFFBF
SHA-256	2B1180E638B3CBCC590F27E8A0870704BF7C13EC703733AEF5AE1116550163E5

Key	Value
FileSize	25188
MD5	F4662D5709830423CEAA1A03AEC988C5
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	3.0.0-1
SHA-1	649BC3AA84F0C444C1E18BCE6CEAF7451BB81EAE
SHA-256	A4E5B7ED1A1A2C92918329CA22D4EF6ABE267BE202E9970B44D1AF21EFC83318

Key	Value
MD5	734DA00C6D202B86C99826F82F42F79D
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.
PackageMaintainer	Fedora Project
PackageName	python3-emcee
PackageRelease	3.fc32
PackageVersion	3.0.0
SHA-1	907DAEBF3FB3D2B725FEF9AB43249CC6F0DE08BB
SHA-256	46FF3CDE45A72466AA547A6DE7033EC4CF00A68E5E2A53404F57011765072665