Result for 40EA4C3B42F2956777064DCB6E4E15FC8E9632D9

Query result

Key Value
FileName./usr/share/doc/python3-emcee/LICENSE
FileSize1109
MD5CAFF17D7D635A9F934988A5E944B29F4
SHA-140EA4C3B42F2956777064DCB6E4E15FC8E9632D9
SHA-2568C6E32FC3FE5887A0A17C4DB12DCD23FE03FA76AA9D090F872AD52AA995B83FE
SSDEEP24:b64oCrmJHHH0yN3gtsHw1hC09QHOsUv4eOk4/+/m3oqLFh:b6FCaJHlxE3dQHOs5exm3ogFh
TLSHT1DF11891EB25507621C5A13605575ACD5B13F715F7A5F2A85146DF245133A06CD1FB840
hashlookup:parent-total2
hashlookup:trust60

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Parents (Total: 2)

The searched file hash is included in 2 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD521B1EB2ED7479B1CE67C41226CF7AD53
PackageArchnoarch
PackageDescriptionEmcee 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.
PackageMaintainershlomif <shlomif>
PackageNamepython2-emcee
PackageRelease5.mga7
PackageVersion2.2.1
SHA-1A7D59258BE02B5C9360FB58A3A24920450CA117B
SHA-256C618F6B02D1CEEE35E3822EDDF32C910B2CA699E8B645DD681365B1D6161987E
Key Value
MD57AC2F057BD5F7D65B91F896B4DBB0A47
PackageArchnoarch
PackageDescriptionEmcee 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.
PackageMaintainershlomif <shlomif>
PackageNamepython3-emcee
PackageRelease5.mga7
PackageVersion2.2.1
SHA-1C7FF5CE76A1E9C601FDD2C269C3D876428E52AA1
SHA-256C18CA2949B4E623B69A380CDFC7ECEBFF33B0D4F092EDE80051153F839B936A1