Result for 04826026FC6B2DCBF77AA0672F937F1A6082AE5A

Query result

Key Value
FileName./usr/lib/python3.6/site-packages/xarray/core/__pycache__/accessor_dt.cpython-36.opt-1.pyc
FileSize15865
MD5C074E2B878C6DBAD5EA136485AA5BA46
SHA-104826026FC6B2DCBF77AA0672F937F1A6082AE5A
SHA-256F20BD2500C82184030A996E99473E3D6DF562263BA97ADD2C9FF556F5398619C
SSDEEP192:m+2bIBgLvIRQMyvxIjvMY2twOwBOD+OPNHM7CXg+JfB7aNNZs2pRrDLEZU9DuDzC:YbICLwwCo02w+rUPp50ZU92PqJ/
TLSHT1FB62B5436F400A2CFE12F2B8468E7A86AB20F02F1BC6699675CE52B50F1AD3D713C51D
hashlookup:parent-total6
hashlookup:trust80

Network graph view

Parents (Total: 6)

The searched file hash is included in 6 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD50407FA046C31C3BFF81DB56EB25E3F39
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.
PackageNamepython3-xarray
PackageRelease3.6
PackageVersion0.16.2
SHA-1CC293D80843B79A3B1F0ACBC78D52E3867D5B687
SHA-2563B199F3B18FBB7626CF58F531DC99DF86718DC0327B7270A22C7BA531C1BF2A1
Key Value
MD52E5D50BBF58C375DCEDDE73F4393C75D
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.
PackageNamepython3-xarray
PackageReleaselp152.43.1
PackageVersion0.16.2
SHA-1941F9947F933308B8BD6315B4C478F56DB25E7E5
SHA-256496B6498C9541606D9F03B44D6DFBA1C276E436301874A72B942BBA423CB529F
Key Value
MD5C99BB5398D9A33D028108FD41A8797CA
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.
PackageNamepython3-xarray
PackageRelease3.6
PackageVersion0.16.2
SHA-133716481558B3BF4F75D1BE1CE49F83FD9556A3A
SHA-2566FE5CF9C45EAEE4F6C36AF5F0F5A275F9563ECDC0A51244EDB34DFDA3389FD08
Key Value
MD51A408C452FBD3EF9773FFF1FBA4AC58F
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.
PackageNamepython3-xarray
PackageReleaselp151.3.1
PackageVersion0.16.2
SHA-1D6CB020364435B5998C245137FE34CB76E492AAB
SHA-2561E946A5DB13CC5E86F2B6395550DAD44B5D23595E872A046C2E0B503BCDB04A1
Key Value
MD54781190A88C37DC65274A3CE34F85A4A
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.
PackageNamepython3-xarray
PackageRelease3.8
PackageVersion0.16.2
SHA-1BEB4EB871F51E33BF9D5C592EB2B3C280A47B393
SHA-25670112F4B89A6267F316F7B6D198A27AC91D5F8026C0479B727B9DA9BF0DD64AF
Key Value
MD5D3266A3F9935F7794A313E6B04C018E7
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.
PackageNamepython3-xarray
PackageRelease3.8
PackageVersion0.16.2
SHA-1ECBEF50FF309AE18762DFEDC18542B9B6B6B9AE3
SHA-256B89F78AFDD7F881CAE560E7CA70EF5ECDD4E17E460E3B311C1C2632FFCB72955