Key | Value |
---|---|
FileName | ./usr/share/doc/python3-zarr/html/api/core.html |
FileSize | 153520 |
MD5 | 34539480030EE024BB3580F934F68F92 |
SHA-1 | 0399F6FA1D1DA9D7A71D71543E2FC023785DACFC |
SHA-256 | E9E59ECB530A9A73A63773CE9678B99C52B35895B1B989BB1C0254FE17976DE5 |
SSDEEP | 1536:X0iz+sL76C/kdCYMKOy5Wfc5q4noY64ldTwMnoH5Wzc5q2DoA1R2nBgXioaROWnM:F8g5jgKLOW |
TLSH | T1BCE3FDA0E1B78137003B99C346FE2B79B0E5942AE0960485E7FD97BD07DCC50791BA6E |
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 |