Key | Value |
---|---|
FileName | ./usr/share/doc/python3-zarr/html/release.html |
FileSize | 82109 |
MD5 | 225A9ECC5236EC60DB2E9D77CFD80C19 |
SHA-1 | 18B7F5F58A23B6456BC16C2247BCAAEB900311F6 |
SHA-256 | 93D1F5973F756AEB635614A278CE68D6F2167AE30E5E005BCC784A848F4C8E76 |
SSDEEP | 768:7PDh0SpO0+omFdo9o9q9eBCMXkzGo9G70DRAyUOjVyxl9k:40n8do68APUzN070tTVSlm |
TLSH | T123833F6084B26A36457302F5E2E92F7CB4DA5099F2060548D2BC07BB975FEC0BF57A29 |
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 |