Result for 003532577A7FD13CEA8674478A67DAAA7646A4BA

Query result

Key Value
FileName./usr/lib/python3.9/site-packages/xarray/core/__pycache__/merge.cpython-39.opt-1.pyc
FileSize27670
MD50F662C97010D012420251C47B8ABA5D1
SHA-1003532577A7FD13CEA8674478A67DAAA7646A4BA
SHA-256BB5DCAF2803C8B20CD2FF45225170FDE47895E928E4624C5EC58C738993A8978
SSDEEP384:4cxqQ7w2OgKFnzfOJzMsDBiPJT7zzFkW8fH0tbbcWiBuy25S+UD:4Z2ONFnzfOxM9Pp5k8k92I
TLSHT1FFC2195239805E3AF9E7F0F9425E5445EF51926B33457810F0CEC6390F869ACA13DAEE
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