| Key | Value |
|---|---|
| FileName | ./usr/lib/python3/dist-packages/zarr/sync.py |
| FileSize | 1208 |
| MD5 | 6A54BCCF314EF9B8BD69348167A6B173 |
| SHA-1 | 003CD0AA3079E1753E9AFE6FEF6CEE301D8F6295 |
| SHA-256 | 8D8FBCD98730170EB982429CF0F17C95D7DAA1AAAD7B40C51F4C0F35EADE9760 |
| SSDEEP | 24:lnKDrT+N2lA+jprPrU+l+6r6P42JQAuv+8CHDZ+POa9cSAOllP3TaK1B4e:aT+NIFY+c6r6P4Mn4+7l+t9PbLf |
| TLSH | T10E21C152DA7B7614E097D623399344A795195CB79328302078ECE0646F2B85481E8EE8 |
| hashlookup:parent-total | 3 |
| hashlookup:trust | 65 |
The searched file hash is included in 3 parent files which include package known and seen by metalookup. A sample is included below:
| Key | Value |
|---|---|
| MD5 | 676DD78D65ACE0889CAD2E1C6E710BE8 |
| PackageArch | noarch |
| PackageDescription | Zarr is a Python package providing an implementation of compressed, chunked, N-dimensional arrays, designed for use in parallel computing. |
| PackageMaintainer | Fedora Project |
| PackageName | python3-zarr |
| PackageRelease | 3.fc33 |
| PackageVersion | 2.4.0 |
| SHA-1 | C1F9AEB4B1C5137146D0FF48BA4075B03CB9F23E |
| SHA-256 | 695A93B66333DD23CE4660135D89D4572070EF835814F13F058A335494B55F8E |
| Key | Value |
|---|---|
| MD5 | 44F40B4638FE404323A8B933137E33E6 |
| PackageArch | noarch |
| PackageDescription | Zarr is a Python package providing an implementation of compressed, chunked, N-dimensional arrays, designed for use in parallel computing. |
| PackageMaintainer | Fedora Project |
| PackageName | python3-zarr |
| PackageRelease | 1.fc32 |
| PackageVersion | 2.4.0 |
| SHA-1 | 2781246714645F88FD11EC9E8A456431A1AA26C4 |
| SHA-256 | 9079B65C7F3663F2518E12866DB96391101BFFC2D706324EA0FE9A8598989E47 |
| 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 |