Parents (Total: 7)

The searched file hash is included in 7 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
MD5	21B1EB2ED7479B1CE67C41226CF7AD53
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 2 package.
PackageMaintainer	shlomif <shlomif>
PackageName	python2-emcee
PackageRelease	5.mga7
PackageVersion	2.2.1
SHA-1	A7D59258BE02B5C9360FB58A3A24920450CA117B
SHA-256	C618F6B02D1CEEE35E3822EDDF32C910B2CA699E8B645DD681365B1D6161987E

Key	Value
FileName	16140
FileSize	22112
MD5	785C4105A2AFC6F41C4841FE291591D2
PackageDescription	Affine-invariant ensemble MCMC sampling for Python 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. . This is the Python 2 package.
PackageMaintainer	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	python-emcee
PackageSection	python
PackageVersion	2.2.1-1
RDS:package_id	182052
SHA-1	E07F005CF49DAE37B70012DF93312CDCAEF56FB5
SHA-256	D171D53B4A5F05EA23476333F6694791445BF6A96885EA34C3CE9D2D1D58A168
insert-timestamp	1679408376.2257276
source	RDS.db

Key	Value
FileSize	23276
MD5	466EE0312B08EA363A6A7430A14E6677
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. . This is the Python 3 package.
PackageMaintainer	Debian Astronomy Team <debian-astro-maintainers@lists.alioth.debian.org>
PackageName	python3-emcee
PackageSection	python
PackageVersion	2.2.1-1
SHA-1	39F35B4B300A54CFFBC89E8494E16D88BAC838F1
SHA-256	E94D4A4AD2D80BB1B8E4E8125F1D3D5A23CBF54B9F055552748747E2DF863346

Key	Value
FileSize	22784
MD5	75AFC54195A431E4439DB9CA5CD2C7E3
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	2.2.1-2ubuntu1
SHA-1	F87CBA865E7BE394E32F766C9FF196BE0EF5D80D
SHA-256	EAB98044EC02A54B9241C032EA9192A746E4309A2240C893DC210988F6607E22

Key	Value
FileName	16141
FileSize	22198
MD5	3F38654D22AEC622EA797B3B8D242845
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. . This is the Python 3 package.
PackageMaintainer	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	python3-emcee
PackageSection	python
PackageVersion	2.2.1-1
RDS:package_id	182052
SHA-1	09D1E0A13584F01DED0DF4A3753B4A2FFB2529F3
SHA-256	BB393D77536CFBC3AC14A446434381E726960D5D5210428C4906ABEEA9B29588
insert-timestamp	1679408376.223349
source	RDS.db

Key	Value
FileSize	23192
MD5	D4D228D080C02A9076088AC2D4DB9C0E
PackageDescription	Affine-invariant ensemble MCMC sampling for Python 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. . This is the Python 2 package.
PackageMaintainer	Debian Astronomy Team <debian-astro-maintainers@lists.alioth.debian.org>
PackageName	python-emcee
PackageSection	python
PackageVersion	2.2.1-1
SHA-1	CF1410183EEB370B1FE4176BAACD5101A12456FD
SHA-256	DBB51A9BA209CEB326EA1F93B17364A06C3C2AB4076A1CEEC5CE41BFA9CE84F8

Key	Value
MD5	7AC2F057BD5F7D65B91F896B4DBB0A47
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	shlomif <shlomif>
PackageName	python3-emcee
PackageRelease	5.mga7
PackageVersion	2.2.1
SHA-1	C7FF5CE76A1E9C601FDD2C269C3D876428E52AA1
SHA-256	C18CA2949B4E623B69A380CDFC7ECEBFF33B0D4F092EDE80051153F839B936A1