| Key | Value |
|---|---|
| FileName | ./usr/lib/python3.9/site-packages/neurosynth/tests/test_analysis.py |
| FileSize | 5412 |
| MD5 | A7C772CADE931C0CE87536DDD5E293C3 |
| SHA-1 | 05E86A157E637970C25FCFF6CA32B947783B9BC2 |
| SHA-256 | 9440598C44C43D1498A5C9C61E477812912358589013117CC04DBCF39846886B |
| SSDEEP | 96:ufOvf/W2j36dYEhPd1OOTEiEzmoN+MNPs85M0LGwEB93JyJFQmJXNZOU:n3u2j6dY1ObE1+A54wEv5xm1OU |
| TLSH | T1E1B162A3D0435C69AB03FD6A845F106B1B4BBB230C80441979BC2A685F27930F2E3CB5 |
| 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 | 698EF795886B3D8CAC895695721E1049 |
| PackageArch | noarch |
| PackageDescription | Neurosynth is a Python package for large-scale synthesis of functional neuroimaging data. |
| PackageMaintainer | Fedora Project |
| PackageName | python3-neurosynth |
| PackageRelease | 3.fc33 |
| PackageVersion | 0.3.8 |
| SHA-1 | 8C27CC6988C4FB1ECD99A6FA41F4CB151A5F86C7 |
| SHA-256 | B1CD9FBDF2B2D7D2E21A32D02F44005429C19C3C0674EF5CBBC6DDC17498E359 |
| Key | Value |
|---|---|
| MD5 | E4B6ED9CB32D6DC97FEB7EFC17DFB3EA |
| PackageArch | noarch |
| PackageDescription | Neurosynth is a Python package for large-scale synthesis of functional neuroimaging data. |
| PackageMaintainer | Fedora Project |
| PackageName | python3-neurosynth |
| PackageRelease | 1.fc32 |
| PackageVersion | 0.3.8 |
| SHA-1 | 131D7EC112D37B6341513055C9FC4B0D88B82C60 |
| SHA-256 | 7181D8036BB9974822CCD16B26E0D13F7220497DD2EC2A51ADC739FE64583800 |
| Key | Value |
|---|---|
| MD5 | 8E9B7F30F89315CFD14F5814226F6350 |
| PackageArch | noarch |
| PackageDescription | Neurosynth is a Python package for large-scale synthesis of functional neuroimaging data. |
| PackageMaintainer | Fedora Project |
| PackageName | python3-neurosynth |
| PackageRelease | 4.fc34 |
| PackageVersion | 0.3.8 |
| SHA-1 | CFE5590BD8A699EB1B5329ECB9503E66AF663FD6 |
| SHA-256 | D5AF992ED66FB3A99A12D4E2E86ACACCD9BE258C340EBFE5CC84880F6EA28A37 |