| Key | Value |
|---|---|
| FileName | ./usr/share/doc/python3-zarr/html/api/convenience.html |
| FileSize | 80760 |
| MD5 | D2D19057499D5F7FAD85D179FBDEF334 |
| SHA-1 | 0113D59880C177D80A0056B1ACA65A3D0A2A44CB |
| SHA-256 | 5193ECA005087E770BEDD47329DA137F315D6F75BE71D8CECAF63E5B181210B1 |
| SSDEEP | 768:7acthZ5psaGIhGudkyBQ/NYRtetGlBqyDo8f/Gdf6k:hfhGudkyBQ/NYRtetGlBqyDo8f/GZn |
| TLSH | T18683EAD0E2F7A1370077D8C352AE1B7AB1E5A06AE4820485A2FD97BC47DDD843817D6E |
| 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 | 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 |