Result for 00D201645512CA7CE897BEE424911CB86D1FEA47

Query result

Key Value
FileName./usr/lib64/python3.4/site-packages/skimage/measure/__pycache__/fit.cpython-34.pyo
FileSize20045
MD59843ADC1DDB1781D16E4DBC4F9DF8CA0
SHA-100D201645512CA7CE897BEE424911CB86D1FEA47
SHA-2560A825F6299BDDA65B6EEFE1ED13450A7F594C2DFE045A4894536879F179509C8
SSDEEP384:U+Uv3g/0QuogHPDoKVVm0oaZAAwtj16JrTfPBVXqpCw3uwHOoR5y6Xwy3PvCMVjJ:U7v3A0QrwPDoKV7oaZAAwtj16tTfPBV+
TLSHT14D9262407F95296BF966F2FA71FD0142CA25E4A76B001701B0ACD5342FDBB20DA3E2D9
hashlookup:parent-total1
hashlookup:trust55

Network graph view

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
MD579F92FF22C9D2DE73A7BCF5F65CD6ACD
PackageArchs390x
PackageDescriptionThe scikit-image SciKit (toolkit for SciPy) extends scipy.ndimage to provide a versatile set of image processing routines.
PackageMaintainerFedora Project
PackageNamepython3-scikit-image
PackageRelease2.fc22
PackageVersion0.10.1
SHA-16AB88743E18D4FA2928B4D9E957109325FE284F8
SHA-256ED5116C0FDA47329B59E5DBD52D66E8129A8C95C5714EA531BB85351A6F75B9A