Result for 16A70E237F909FD7F8A1809A677FD2FBDEEBD473

Query result

Key Value
FileName./usr/lib/python3/dist-packages/emcee-3.1.6.egg-info/PKG-INFO
FileSize2780
MD5BE262C36CC6504B6F4F0E7945F33A6E9
SHA-116A70E237F909FD7F8A1809A677FD2FBDEEBD473
SHA-25621E1F55B7617026D724D4427E21920AA6AD3B5D6DC09A9523C20D681591CB151
SSDEEP48:D2WRVGC0lsGa4cQIk2lDY0P0E+h0v608LSX0VwHMGm0vC+heQ7HV9RCFC+VedKIs:D2KCaRzQI5lDSosSDrVyYdP/24omfrVc
TLSHT15A5197A37FA20DF0BB20C5803DB65176E35652EEFDD96454B87CC2215725C3A60BF948
hashlookup:parent-total1
hashlookup:trust55

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Parents (Total: 1)

The searched file hash is included in 1 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
FileSize33104
MD564238BD270B7051B14B89E0506507B00
PackageDescriptionAffine-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.
PackageMaintainerDebian Astronomy Team <debian-astro-maintainers@lists.alioth.debian.org>
PackageNamepython3-emcee
PackageSectionpython
PackageVersion3.1.6-1
SHA-1CEE75EB7E035304769EE190B3CE17931027E68DD
SHA-2569CBE49A5ED1104996E50372114B03DFECC81FC24827FD9F992E68A156BCBABFE