Key | Value |
---|---|
FileName | ./usr/lib/python3.8/site-packages/skimage/segmentation/tests/__pycache__/test_slic.cpython-38.pyc |
FileSize | 13127 |
MD5 | 8F1D46B6D3AF31BE22788543E52FB614 |
SHA-1 | 00CA6EA3664C14AF6CE6AC4B5678147AB1895D82 |
SHA-256 | 8FDDCC2EDB40B3F4E5E8504773D6D511F1CBF64CFE740E3F52862BEB7A1E0E0B |
SSDEEP | 384:NZ3nfq7UvrCdEXrBTaFikpTJY3ulI8OjBqJ76:NZ3nfq7UvrCdEXrBTaFikHmWI8OjBqJu |
TLSH | T1F44254C7B8416F5CFF5DF1F4909B07347AA6E29C77816AF6A51C220228CB1861E61B39 |
hashlookup:parent-total | 3 |
hashlookup:trust | 65 |
The searched file hash is included in 3 parent files which include package known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
MD5 | 1DF5BFCCC57F33E59F3713863805978D |
PackageArch | i586 |
PackageDescription | Scikit-image is a collection of algorithms for image processing in Python. It is available free of charge and free of restriction. |
PackageMaintainer | https://bugs.opensuse.org |
PackageName | python38-scikit-image |
PackageRelease | 1.8 |
PackageVersion | 0.18.1 |
SHA-1 | 7C29606C90CCF27E95C95BC12B921FE96727D388 |
SHA-256 | D53CBBA5474A4C52FA3C65639867325F5628E1BA956C04D9DCCE4F3224A07EC0 |
Key | Value |
---|---|
MD5 | 040EE01F90AB3EB1939C17123AF1A1B4 |
PackageArch | i586 |
PackageDescription | Scikit-image is a collection of algorithms for image processing in Python. It is available free of charge and free of restriction. |
PackageName | python38-scikit-image |
PackageRelease | 33.41 |
PackageVersion | 0.18.1 |
SHA-1 | D4492A1FDF580744AD41CE19233ADBC6C3E85506 |
SHA-256 | 776E1BEC62002AC8ADC918CBE94A0742AFF07E118E8E802AE5596A0E4F00DF2C |
Key | Value |
---|---|
MD5 | 863C0AC8EE9D92B739706BCAA106D692 |
PackageArch | armv7hl |
PackageDescription | Scikit-image is a collection of algorithms for image processing in Python. It is available free of charge and free of restriction. |
PackageName | python38-scikit-image |
PackageRelease | 33.38 |
PackageVersion | 0.18.1 |
SHA-1 | 0E57156D647261DA7EC9A1B8C2C721FDF72AAAED |
SHA-256 | BFA90768D7324E8545E97E397AF871DF8B1FB4BA2A40C687406F09079EF4294D |