Parents (Total: 22)

The searched file hash is included in 22 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
MD5	49B25D4F0A5F71B0FD3A7A4793FBD9E3
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	python-emcee
PackageRelease	1.fc21
PackageVersion	2.1.0
SHA-1	010B5EC003E5C8D7150C20C22E1E6D3D56C3F41C
SHA-256	F2357D3FF6FA4826CB51F69F2802A27963241F11F6ED5236F0659BEC88914A5D

Key	Value
MD5	6A9B21A7C9175BE1E4231D1A851A836E
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	python-emcee
PackageRelease	1.fc22
PackageVersion	2.1.0
SHA-1	1BF38990CEAF48A988DD1E292C38EB9FA0889A71
SHA-256	990EBB9C8E2CD15EE1F6AE99845E34F1ED2A3AC3DD5455685B6A0BCE6D288F97

Key	Value
MD5	E2FCA6600A68F8545ADC4920CF329FB4
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	2.fc23
PackageVersion	2.1.0
SHA-1	1D5B1CCBAEBA8870DA547BCED2A04EA7DB2A89A8
SHA-256	D9F8F04BBB1CFC302AC52813A3E3E69DF3625A9C19ED9C683056A7B5B7EA3E1F

Key	Value
MD5	3ACD9715ED7E7CE3BB1509E75300D628
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	1.fc21
PackageVersion	2.1.0
SHA-1	24AF5B886CEC89701F439AF9CE2259F2C93DBD42
SHA-256	A7C9F0C2CF1FCE2F236B62DE671BA13C43A5E83BDF4C140EC17D4E01A9B0F2E5

Key	Value
MD5	E7D66E5042562A527DBFB3BA55D9FDD0
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	1.fc21
PackageVersion	2.1.0
SHA-1	2C012AB637250C2E7C347B70BEBF9104BF3F669A
SHA-256	8996637B082D2081A45B9AB860AA23C8A5D83ABEFDE6432B57FC5EFF4FDBA54A

Key	Value
MD5	5B73D6962F7B23D3E4C5238762F89282
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	python-emcee
PackageRelease	2.fc23
PackageVersion	2.1.0
SHA-1	3B1AAF0E78105EB3063DDD0BB27F37473628F3C7
SHA-256	2899BCC2A1EA99CB5B10CA360EA292E79823A85A451AEDA16831F09D6BDA6DC0

Key	Value
MD5	F1332DF4F3F5DA31266EBE9680F12803
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	2.fc23
PackageVersion	2.1.0
SHA-1	435C417632547479149EFA2AAC7E1AB37BEAAC5C
SHA-256	ED059078AD2E17617E89A452240974395C93C9C1145E37D2A30E6B6E173920FE

Key	Value
MD5	9DE46F48500BEBED8F61485E3310B2D0
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	python-emcee
PackageRelease	1.fc21
PackageVersion	2.1.0
SHA-1	462EE0315AAAE58581C06E6DD69AF6EC2BA9F68F
SHA-256	331FF39EF8BA234C2050ABB7B5A2741E8696F6B76738E87192F47F9070F8146E

Key	Value
MD5	1C222E5ABD59DFB2DEDE2807AF0FEE9D
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	1.fc22
PackageVersion	2.1.0
SHA-1	5FF7A638FCDA339A62D0DBBC9DAE581D9440C8FA
SHA-256	61EA7EA190D57701DE37D16A4B7C583A078726CCB40E3D184409B77085FD5FC0

Key	Value
MD5	7260BD78FDCE59AFD6A2D574C776A7D7
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	python-emcee
PackageRelease	1.fc22
PackageVersion	2.1.0
SHA-1	61D1554D7053DEE4727470F2138A04DCD4385431
SHA-256	62A3B0A2BB9A5FE0B3DF65E686A990B60CD7FE7D375DFDE84D25EC30B8CA6D99