Result for 063566A9A33C223781A8D1DB28EB5E9C7445ABF7

Query result

Key Value
FileName./usr/lib/python2.7/site-packages/emcee/__init__.pyo
FileSize1273
MD5C10390E48B88F76F119B95EE6093598F
SHA-1063566A9A33C223781A8D1DB28EB5E9C7445ABF7
SHA-25616D25EC67B9D3F3D9AD698831E9E7554FD9270D5ED7D6FB7BB563239C10F8173
SSDEEP24:i9zE6lW20t7bdPLFAnomaL29LIqkjd1RT8ZxEVMn3t4ZzwgD:i9z7W20tpBL29GR1RT8ZRnd4ZUgD
TLSHT1A8210F81A7ECC4EBD1346134A4B083379D38F0FBB64036312668A0795EE8669D59F342
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
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