Result for 05C445CCAFA9A05CC7030B3718F8780D82B1ADE4

Query result

Key Value
FileName./usr/lib/python3.8/site-packages/xarray/tests/__pycache__/test_coding_times.cpython-38.pyc
FileSize28793
MD59630BD711FB7E763B27B1C45F4593A15
SHA-105C445CCAFA9A05CC7030B3718F8780D82B1ADE4
SHA-256D6AD21D5A2EEA9936943344F1DB69E7C73490421A79A54C767EB652B1CAE817D
SSDEEP768:hT7gmcMIxk0xPtuZ8AGXEcReFTk55M1af:hT7gmcMca8AG3Re9MR
TLSHT113D2C6C43C264A1AFDE6F3F521EA6290DB2CE3E6D38556137D10934A2D40B582D6E2BD
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