Result for 02649528BA9F642D8FBE2A2F624B42CA3148BCAA

Query result

Key Value
FileName./usr/lib/python3.8/site-packages/xarray/core/__pycache__/dask_array_ops.cpython-38.opt-1.pyc
FileSize2470
MD5057A8E7C3C8EE220147467BB443DD8B2
SHA-102649528BA9F642D8FBE2A2F624B42CA3148BCAA
SHA-2560C3589B5144172A3E6AC6CA6E98AE79A33F023B3AD77EF6A61C7CCC43A94457F
SSDEEP48:oc4ljYS8CcpfNxk0J72sCrURlDQZhkLB3C8/YKwV:oc4qSIpf7kyiPovQCgcYt
TLSHT1FC51C8C778013E5BFDA6FAB4551306021220D1E9A337020E460A7EB37D823C64B51F7C
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
MD526B54B91E716A92D5165813525D12EF5
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.
PackageNamepython38-xarray
PackageRelease2.1
PackageVersion0.18.2
SHA-1329C26E58C403640FF9215ACB63B16A173DB5EB0
SHA-256938E79C844FD694EF6958A52B9B9844648D6B7F0EC5E2DB3BDF090DF2BED25B0