Result for 001C22CDF9E54AC4C581E8249795B5AE976463CA

Query result

Key Value
FileName./usr/lib/python3.9/site-packages/xarray/tests/__pycache__/test_dataset.cpython-39.opt-1.pyc
FileSize194408
MD5D5CE072FB90B5FC7453193F258CC29A7
SHA-1001C22CDF9E54AC4C581E8249795B5AE976463CA
SHA-256A86C356CB709DA36F8EF4825E8005E3037CD16262AFF182C6F911F966053EE38
SSDEEP3072:UswxG+Oyqlj+tp827OW8ZvobsSR7a40AyiHpFAOckiBhHUinm0VSRPgl5aXlk0/8:UswSyqlj+tp82KW8ZvoICaozQOck4hHp
TLSHT10314E7A572379F27F900F1B5C0D94B609D26E2E80FC5D9967818D6FA7F4C2C51EAC288
hashlookup:parent-total1
hashlookup:trust55

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Parents (Total: 1)

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
MD5B589A12260715DB14593B31FDA207DFA
PackageArchnoarch
PackageDescriptionxarray (formerly xray) is a python-pandas-like and pandas-compatible toolkit for analytics on multi-dimensional arrays. It provides N-dimensional variants of the python-pandas labeled data structures, rather than the tabular data that pandas uses. The Common Data Model for self-describing scientific data is used. The dataset is an in-memory representation of a netCDF file.
PackageNamepython39-xarray
PackageRelease2.1
PackageVersion0.18.2
SHA-180B0EF8A6B59A56362A75A9BAFD0344F934910E9
SHA-2564E3FEF26BACC664FD34C2D26E24EA5B9FF8C695E638D9A29BEB2BDFE1B81BE32