Result for 024333BCD7C69122CA570537FE6C19099403BD17

Query result

Key Value
FileName./usr/lib/python3.9/site-packages/xarray/core/__pycache__/combine.cpython-39.pyc
FileSize26334
MD51818D86B8DAFEDC4196899ECFD380AC2
SHA-1024333BCD7C69122CA570537FE6C19099403BD17
SHA-256C9010DD3CE6F5709CB14F6C77E4C320FE66756769262CFDC44DB82C1441EE5DD
SSDEEP192:OUAB2ssT9POtQGa0cjQaqflZlISQ9FUdr3SMW6g0R0Ww2btcRAB741w8rTkSg6g3:3DgtQ/ODinFs5cRx1wjl3w2Z
TLSHT182C2C66629805A35F9D6F0F0C6CEE619AF30D2572351AE4070CD86382F8B974D27B6ED
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