Key | Value |
---|---|
FileName | ./usr/share/doc/python-bottleneck-doc/html/release.html |
FileSize | 23281 |
MD5 | AB2889F8447B53098BB1614FC2F3789F |
SHA-1 | 398EFA937EC44BA4C26DE69C49417E280F54EDA7 |
SHA-256 | 3E89A7B04C77F2D480199D455D127D98A9C6D4D4CBC347371A17B6673E08533A |
SSDEEP | 384:KANnPqjrqt8RPSqzlq5CjbX1Ae3+NlLR1M8oj517pri4pDeYuQvKOrHpmniqdMon:pSjrqt8RPSqzlq5CjbX1Ae3+jLR1M8C0 |
TLSH | T188A253062881AE374503A3AA9B37172A6B97817AD251073F307EE15C3F53D96CE3798D |
hashlookup:parent-total | 2 |
hashlookup:trust | 60 |
The searched file hash is included in 2 parent files which include package known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
FileSize | 39768 |
MD5 | 8CCA982573202CD4B1436F5C9D88187E |
PackageDescription | documentation for bottleneck Bottleneck is a collection of fast NumPy array functions written in C. . Only arrays with data type (dtype) int32, int64, float32, and float64 are accelerated. All other dtypes result in calls to slower, unaccelerated functions. . This package provides the documentation for bottleneck. |
PackageMaintainer | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
PackageName | python-bottleneck-doc |
PackageSection | doc |
PackageVersion | 1.2.1+ds1-1 |
SHA-1 | DFA4CE1DFBEF36934C3566A68C91805DF910960C |
SHA-256 | A751E43C9BA9D86A9817FE0F4BCE33343EB582E7DC65A09C5C62B997ACCDA483 |
Key | Value |
---|---|
FileSize | 44412 |
MD5 | E174B6F8FEFA555B3EEDADC824963BED |
PackageDescription | documentation for bottleneck Bottleneck is a collection of fast NumPy array functions written in C. . Only arrays with data type (dtype) int32, int64, float32, and float64 are accelerated. All other dtypes result in calls to slower, unaccelerated functions. . This package provides the documentation for bottleneck. |
PackageMaintainer | Debian Python Modules Team <python-modules-team@lists.alioth.debian.org> |
PackageName | python-bottleneck-doc |
PackageSection | doc |
PackageVersion | 1.2.1+ds1-1 |
SHA-1 | E3FC65DE71B7F20C6A66ACAE04EEFA41002BF013 |
SHA-256 | A3F23D81880CC43925D947F8AAD44E77A8C8BCFD45409F4D9ED40CE008739F6E |