| Key | Value |
|---|---|
| FileName | ./usr/share/doc/python3-zarr/html/_static/documentation_options.js |
| FileSize | 312 |
| MD5 | AD6DBA8E4491B6F6266EC91ED59F96B4 |
| SHA-1 | 0DCEB9C586DD70C9C729B41693AEA360060E90F8 |
| SHA-256 | EEBCAB0137D7D8450FF618CFF11362B4BD070A8A2EF0CE4B0451F2FA35F82A16 |
| SSDEEP | 6:qOppJXzibDRd7HyLmx5wB0FFukf/FJd/d0aQWsYp/UI+aJ4Vs7n:1yDRRZxbukfLdmYp/UI/J4Vs7n |
| TLSH | T182E0CDF6343559AE18E22AF5EC0E95463920C9131D4E7591344D10012FACF5D0539E95 |
| hashlookup:parent-total | 1 |
| hashlookup:trust | 55 |
The searched file hash is included in 1 parent files which include package known and seen by metalookup. A sample is included below:
| Key | Value |
|---|---|
| FileSize | 233868 |
| MD5 | E938F04C32104A1EC556A026FF65FABB |
| 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 | 2.4.0+ds-1 |
| SHA-1 | 0CE95241D7EB6681C5267AC650C16ED215A319EE |
| SHA-256 | 545FA978D81BBE9AE6BA147A0471AB68FC148854ECD829D2747D397085EB7FEE |