Key | Value |
---|---|
FileName | ./usr/lib/python3/dist-packages/zarr/codecs.py |
FileSize | 109 |
MD5 | AF3E3EC21A1AB9E3575A579F6FFBF5B7 |
SHA-1 | 0407B3ED7D527D61EA36F44C959805B0E257A7BA |
SHA-256 | AED919FD92FED3EBA01D8D43F9DC59FDADC8709F64BABF8AD5181FC330E29CCD |
SSDEEP | 3:SyIFGaMIQlAyI0n261LQ7FFbQlDDxQ7FLRlxbh8A5:SbFGaMtlAyJXLEFF8lBEFLNbh80 |
TLSH | T134B012069D31940723FBCA47C5C5EC3023BF70691F0008487DB9E3F20F45980887012D |
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 |