Key | Value |
---|---|
FileName | ./usr/share/doc/python-bottleneck-doc/html/release.html |
FileSize | 23367 |
MD5 | 3BEA4663FF6315BBAEFB9B78ED3743B9 |
SHA-1 | 348832A8F09CE9474B74EDA2DBEF14BB3A72039C |
SHA-256 | 522A486009437A82AB3958C901C6DA8B77885D189AC49E8DB105C70CD87816F2 |
SSDEEP | 384:oANnPqjrqt8RPSqzlq5CjbX1Ae3+NlLR1M8oj517pri4pDeYuQvKOrHpmniqdMo/:bSjrqt8RPSqzlq5CjbX1Ae3+jLR1M8CE |
TLSH | T1EEA253062881AE374503A3A69B37272A6B97817AD251073F307EE15C3F53D96CE3798D |
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 | 42972 |
MD5 | 3546773762A4B668E39089B8A52941B0 |
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+ds1-2 |
SHA-1 | D17328202497D623061EC8599E09BC7EF3216714 |
SHA-256 | E15FACA09DA2BF0DC13BDEB0C6A27508BB90032A94A17770CEEB4A707D42D1D3 |
Key | Value |
---|---|
FileSize | 47580 |
MD5 | D84188698CDD57CED848A22DDBD599D2 |
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+ds1-2 |
SHA-1 | 311C0EBF14FBE055DD0F6BE02BD2164054C91300 |
SHA-256 | 4C2D63C65EC3FA2DC55EEAB6675C92DDAA69383290867AD71697F91B42657EA4 |