| Key | Value |
|---|---|
| FileName | ./usr/lib64/python3.6/site-packages/sklearn/covariance/tests/test_robust_covariance.py |
| FileSize | 6304 |
| MD5 | 30DFF79FCDA36000120A96C36B54D33F |
| RDS:package_id | 294806 |
| SHA-1 | 027BA188045C100823E2355472F19E493C36D8A3 |
| SHA-256 | 5B9CEB43E92E914F207BCC1615BEFF15A2B6CE63BCCEA24ADE883C9EE90DB21B |
| SHA-512 | 70F60496C0CEAA167579C844155ECD66FAFE4BDA68675BAE7225F5C4D8C31180BF5C699B3BF56ADA358BB65023329DD60B6ED4118135A5CAB487028BE2AC6083 |
| SSDEEP | 96:PxJ73cbHqI2GyRpzj7VLLOgL59TD7mswRIMrDiwBUMY78SIC8K/DHLrALkGQ7TQ+:EOZ9TPmdzrDBYgS4qnWPAV |
| TLSH | T195D1A64737C2463D4243607051AE525B0A95E0BBA788EC7E356EC7241F498BDFF3265A |
| insert-timestamp | 1696437139.395624 |
| mimetype | text/x-python |
| source | db.sqlite |
| tar:gname | root |
| tar:uname | root |
| hashlookup:parent-total | 85 |
| hashlookup:trust | 100 |
The searched file hash is included in 85 parent files which include package known and seen by metalookup. A sample is included below:
| Key | Value |
|---|---|
| MD5 | F0518108A442CBD26BD7C4ED70028CF6 |
| PackageArch | armv7hl |
| PackageDescription | Scikit-learn is a python module for machine learning built on top of scipy. |
| PackageName | python310-scikit-learn |
| PackageRelease | 39.35 |
| PackageVersion | 0.24.2 |
| SHA-1 | 034A75EBFF35088FD06CD0A8FAA919572062F5B1 |
| SHA-256 | 2845D8B2DF8EA3E65A9264B6F7BE3168C2E18E86FB687FA682DA421E0634CF01 |
| Key | Value |
|---|---|
| MD5 | A750463F898FBE011BB06498DB524C4D |
| PackageArch | i586 |
| PackageDescription | Scikit-learn is a python module for machine learning built on top of scipy. |
| PackageName | python3-scikit-learn |
| PackageRelease | 2.19 |
| PackageVersion | 0.22.1 |
| SHA-1 | 06C1D51015402EE3B746CA7563AB7B9A223E477C |
| SHA-256 | 6E3F44618F64E83FEC4B93C733D98ABFFE8904C7F9CF49678899063CB7321748 |
| Key | Value |
|---|---|
| MD5 | 65C00591C4F2DCDDFD8C92E60A23F0CA |
| PackageArch | x86_64 |
| PackageDescription | Scikit-learn is a python module for machine learning built on top of scipy. |
| PackageName | python3-scikit-learn |
| PackageRelease | 2.5 |
| PackageVersion | 0.24.2 |
| SHA-1 | 0941B46E398DC69750AE776353AE431F294D5BE8 |
| SHA-256 | 91BCDA62B8F51F95D3DAC2B17A2FCA36783C1F6B75219F63B23709C4268D1B59 |
| Key | Value |
|---|---|
| MD5 | 11103EEBC339AC6D11ADDB593402C171 |
| PackageArch | x86_64 |
| PackageDescription | Scikit-learn is a python module for machine learning built on top of scipy. |
| PackageMaintainer | https://www.suse.com/ |
| PackageName | python3-scikit-learn |
| PackageRelease | 1.76 |
| PackageVersion | 0.23.2 |
| SHA-1 | 0953877231491FC64B094C41D558A51A662D7198 |
| SHA-256 | 21F414C4C381CD41AB8EDB6B7E38CD5FEA60D899B826E8E2CC6A646D1CC9B033 |
| Key | Value |
|---|---|
| MD5 | B5AAF3A6396494FB7DD8F2E6C900397F |
| PackageArch | armv7hl |
| PackageDescription | Scikit-learn is a python module for machine learning built on top of scipy. |
| PackageName | python39-scikit-learn |
| PackageRelease | 39.35 |
| PackageVersion | 0.24.2 |
| SHA-1 | 0C6B852B37A6BBF505FD1E27CD90C1EF941D4669 |
| SHA-256 | FDE0EA763B35A25F4BFF3AFBE3B56CE7438A209C54C54015B7314677E6C9673F |
| Key | Value |
|---|---|
| FileName | https://gbdi-packages.jsonar.com/rhel7.x_IBM_Guardium_big_data_security_installer_4.5.a.tar.gz |
| MD5 | DBCEB0AEF732E9D31C5FFB2E8420429E |
| SHA-1 | 15679AD0960CA9070884097FE9BA2ECC38783A3B |
| SHA-256 | 925C1C1255FFFBFD89E12652B8EB16DC34A0D2D3A4D4387D0FB9578E843D709C |
| SSDEEP | 50331648:lId4+316bTds+Nw09TDqqheBqLnXqNVkHLm2rUbsrc8WbGibv5VPBaxbeY44c:lIdD316/WBcbheBqLnXKSHHU+cdGijPz |
| TLSH | T1084A8899F4B0A5CFA426F53A5B90FFF252B0507296F6CC32E329034B51C77D03AA6859 |
| Key | Value |
|---|---|
| MD5 | 5D2FA29F4130E7CB26587869667DC626 |
| PackageArch | aarch64 |
| PackageDescription | Scikit-learn integrates machine learning algorithms in the tightly-knit scientific Python world, building upon numpy, scipy, and matplotlib. As a machine-learning module, it provides versatile tools for data mining and analysis in any field of science and engineering. It strives to be simple and efficient, accessible to everybody, and reusable in various contexts. |
| PackageMaintainer | Fedora Project |
| PackageName | python3-scikit-learn |
| PackageRelease | 2.fc34 |
| PackageVersion | 0.24.0 |
| SHA-1 | 16117A1C32207A75416BCA6E566022AC75AB7041 |
| SHA-256 | 96172BEAA1E188FD4892ADB24832977D4FE36C626DD2D66EB4C923D361BC7AC0 |
| Key | Value |
|---|---|
| MD5 | 123D935D6BEF270215DC859D320E7F38 |
| PackageArch | i586 |
| PackageDescription | sklearn is a Python 3 module that integrates classic machine learning algorithms with the tightly-knit world of scientific Python packages (numpy, scipy, matplotlib). |
| PackageMaintainer | guillomovitch <guillomovitch> |
| PackageName | python3-scikit-learn |
| PackageRelease | 1.mga8 |
| PackageVersion | 0.23.2 |
| SHA-1 | 1A159036D1031053254548FE1D93F0708226D253 |
| SHA-256 | 5E4D68A1EB9827AA239736F5E7DE989B1FB2CD22B31BD2E499DAFE943444A6CB |
| Key | Value |
|---|---|
| MD5 | 4633259AA5A585EBD715FA1C5F5A5A5E |
| PackageArch | x86_64 |
| PackageDescription | Scikit-learn is a python module for machine learning built on top of scipy. |
| PackageName | python3-scikit-learn |
| PackageRelease | lp153.2.6 |
| PackageVersion | 0.24.2 |
| SHA-1 | 1EAA1D9E6FDAD953363CF384EEB5238265D55ECD |
| SHA-256 | 523C536E5BCF1081217996344E090C66CDD182B198231AD70AAF63AB6D8EC907 |
| Key | Value |
|---|---|
| MD5 | C7DD7216832C39E883A5CCD42FC00186 |
| PackageArch | x86_64 |
| PackageDescription | Scikit-learn is a python module for machine learning built on top of scipy. |
| PackageName | python3-scikit-learn |
| PackageRelease | lp153.2.2 |
| PackageVersion | 0.24.2 |
| SHA-1 | 2000203EFD9F9F753AF3FE65D4652318B4EE6336 |
| SHA-256 | BF0F4CA75919E3C80B638ACC4D09B750283EAD0E0D8BC62FEFAF5313956E0439 |