Parents (Total: 6)

The searched file hash is included in 6 parent files which include package known and seen by metalookup. A sample is included below:

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	20950
MD5	9154029D2D6E37E077740FEFD94A3E45
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	2.1.0-5
SHA-1	81B325B0B94D7FAB52443297373A512798696D19
SHA-256	C5C120686BB4A2034D7F8A2D87FCFA5BC247F6CA7BA084FAD41E1C759A76B5F2

Key	Value
FileSize	20878
MD5	DB5C74813F73B5D3FB76B4D17EA27E8E
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	2.1.0-5
SHA-1	07A6AD42D90C8AE4C36D89D7AFC8772F00F4D050
SHA-256	6BE3C88F3F83E4B872ABE37ADEFA8D939C882C6619C0246AAA8F9DBF627C3AF1

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