| Key | Value |
|---|---|
| FileName | ./usr/share/doc/python3-zarr/html/objects.inv |
| FileSize | 2106 |
| MD5 | 668331907FFA0DBE3A1812E4638D8F28 |
| SHA-1 | 295C9A723F8D85C1EF16711EEBECE8D126787A48 |
| SHA-256 | 55CCF96919179EC53A144E4BFD79B5E8489FCA25EFC6E42859B7F165A313CF92 |
| SSDEEP | 48:ZYREFHDaMZYMfy8verJCz3FEeeN0S4gouQ2p1tTSDX:G+FjHZFq8vgJw3FPxpgouQm7TSz |
| TLSH | T1EA411A65ADE314F3A15594485F66AD36F5F30B9B13F802403821EA5CB184EC82B5DEB9 |
| 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 | 241336 |
| MD5 | 59CCD768C4DACD2D9ED9758FE16DD5B4 |
| PackageDescription | chunked, compressed, N-dimensional arrays for Python Zarr is a Python package providing an implementation of compressed, chunked, N-dimensional arrays, designed for use in parallel computing. Some highlights: . - Create N-dimensional arrays with any NumPy dtype. - Chunk arrays along any dimension. - Compress chunks using the fast Blosc meta-compressor or alternatively using zlib, BZ2 or LZMA. - Store arrays in memory, on disk, inside a Zip file, on S3, ... - Read an array concurrently from multiple threads or processes. - Write to an array concurrently from multiple threads or processes. - Organize arrays into hierarchies via groups. - Use filters to preprocess data and improve compression. |
| PackageMaintainer | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
| PackageName | python3-zarr |
| PackageSection | python |
| PackageVersion | 2.6.1+ds-1 |
| SHA-1 | 14253B3BA86B747D331EB12A47409C136DE4D023 |
| SHA-256 | CA6388A803F3F9AC3AA25DA6807BB7D08F58BC9731E916097A88337C63F78963 |
| Key | Value |
|---|---|
| FileSize | 246516 |
| MD5 | AF586FECE4C07569FC85AD8D88B6F105 |
| PackageDescription | chunked, compressed, N-dimensional arrays for Python Zarr is a Python package providing an implementation of compressed, chunked, N-dimensional arrays, designed for use in parallel computing. Some highlights: . - Create N-dimensional arrays with any NumPy dtype. - Chunk arrays along any dimension. - Compress chunks using the fast Blosc meta-compressor or alternatively using zlib, BZ2 or LZMA. - Store arrays in memory, on disk, inside a Zip file, on S3, ... - Read an array concurrently from multiple threads or processes. - Write to an array concurrently from multiple threads or processes. - Organize arrays into hierarchies via groups. - Use filters to preprocess data and improve compression. |
| PackageMaintainer | Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org> |
| PackageName | python3-zarr |
| PackageSection | python |
| PackageVersion | 2.6.1+ds-1 |
| SHA-1 | D8F8B84F73EE02FA5CF27377B07930D2CAD448CD |
| SHA-256 | C1308736915EEFB66DC1D4E4E3D5B0FF2B24EDF6B5D2C153964E47FAB5D441E7 |